Files
nld-latn-10mb-10mb_seed3407/checkpoint-500/trainer_state.json
ModelHub XC 2a8a32ed1d 初始化项目,由ModelHub XC社区提供模型
Model: fpadovani/nld-latn-10mb-10mb_seed3407
Source: Original Platform
2026-07-30 03:49:17 +08:00

1046 lines
28 KiB
JSON

{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.45433893684688775,
"eval_steps": 500,
"global_step": 500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"entropy": 10.742555522918702,
"epoch": 0.004543389368468878,
"grad_norm": 5.0625,
"learning_rate": 2e-06,
"loss": 10.7779,
"mean_token_accuracy": 8.431703317910433e-05,
"num_tokens": 10156.0,
"step": 5
},
{
"entropy": 10.742563724517822,
"epoch": 0.009086778736937756,
"grad_norm": 5.25,
"learning_rate": 4.5e-06,
"loss": 10.7654,
"mean_token_accuracy": 0.0,
"num_tokens": 20669.0,
"step": 10
},
{
"entropy": 10.74255313873291,
"epoch": 0.013630168105406633,
"grad_norm": 4.9375,
"learning_rate": 7e-06,
"loss": 10.7397,
"mean_token_accuracy": 0.0,
"num_tokens": 30952.0,
"step": 15
},
{
"entropy": 10.742581939697265,
"epoch": 0.01817355747387551,
"grad_norm": 5.40625,
"learning_rate": 9.5e-06,
"loss": 10.6785,
"mean_token_accuracy": 0.0005094278021715581,
"num_tokens": 41429.0,
"step": 20
},
{
"entropy": 10.742574501037598,
"epoch": 0.02271694684234439,
"grad_norm": 4.90625,
"learning_rate": 1.2e-05,
"loss": 10.585,
"mean_token_accuracy": 0.004951991699635982,
"num_tokens": 52166.0,
"step": 25
},
{
"entropy": 10.742272472381591,
"epoch": 0.027260336210813266,
"grad_norm": 4.0,
"learning_rate": 1.4500000000000002e-05,
"loss": 10.439,
"mean_token_accuracy": 0.027590089477598667,
"num_tokens": 61670.0,
"step": 30
},
{
"entropy": 10.741254997253417,
"epoch": 0.03180372557928214,
"grad_norm": 3.203125,
"learning_rate": 1.7000000000000003e-05,
"loss": 10.2851,
"mean_token_accuracy": 0.040197663381695746,
"num_tokens": 71702.0,
"step": 35
},
{
"entropy": 10.738425350189209,
"epoch": 0.03634711494775102,
"grad_norm": 2.734375,
"learning_rate": 1.95e-05,
"loss": 10.129,
"mean_token_accuracy": 0.04816498160362244,
"num_tokens": 82840.0,
"step": 40
},
{
"entropy": 10.734417152404784,
"epoch": 0.0408905043162199,
"grad_norm": 2.359375,
"learning_rate": 2.2e-05,
"loss": 10.0098,
"mean_token_accuracy": 0.04295867718756199,
"num_tokens": 92290.0,
"step": 45
},
{
"entropy": 10.731618976593017,
"epoch": 0.04543389368468878,
"grad_norm": 2.21875,
"learning_rate": 2.4500000000000003e-05,
"loss": 9.9604,
"mean_token_accuracy": 0.04617781527340412,
"num_tokens": 101842.0,
"step": 50
},
{
"entropy": 10.729147243499757,
"epoch": 0.049977283053157656,
"grad_norm": 1.875,
"learning_rate": 2.7e-05,
"loss": 9.9546,
"mean_token_accuracy": 0.04403300806879997,
"num_tokens": 114030.0,
"step": 55
},
{
"entropy": 10.727308368682861,
"epoch": 0.05452067242162653,
"grad_norm": 1.890625,
"learning_rate": 2.95e-05,
"loss": 9.8581,
"mean_token_accuracy": 0.04366073869168759,
"num_tokens": 124349.0,
"step": 60
},
{
"entropy": 10.726133060455322,
"epoch": 0.059064061790095414,
"grad_norm": 1.9609375,
"learning_rate": 3.2e-05,
"loss": 9.7412,
"mean_token_accuracy": 0.044536291435360906,
"num_tokens": 133534.0,
"step": 65
},
{
"entropy": 10.724782562255859,
"epoch": 0.06360745115856428,
"grad_norm": 2.0625,
"learning_rate": 3.4500000000000005e-05,
"loss": 9.6971,
"mean_token_accuracy": 0.041312586329877374,
"num_tokens": 144383.0,
"step": 70
},
{
"entropy": 10.723019886016846,
"epoch": 0.06815084052703317,
"grad_norm": 1.8359375,
"learning_rate": 3.7e-05,
"loss": 9.6751,
"mean_token_accuracy": 0.04508417844772339,
"num_tokens": 155467.0,
"step": 75
},
{
"entropy": 10.717958164215087,
"epoch": 0.07269422989550205,
"grad_norm": 1.9609375,
"learning_rate": 3.95e-05,
"loss": 9.5919,
"mean_token_accuracy": 0.045108040794730186,
"num_tokens": 165903.0,
"step": 80
},
{
"entropy": 10.709596824645995,
"epoch": 0.07723761926397092,
"grad_norm": 2.125,
"learning_rate": 4.2000000000000004e-05,
"loss": 9.511,
"mean_token_accuracy": 0.04253413174301386,
"num_tokens": 175812.0,
"step": 85
},
{
"entropy": 10.702213764190674,
"epoch": 0.0817810086324398,
"grad_norm": 1.9140625,
"learning_rate": 4.45e-05,
"loss": 9.4176,
"mean_token_accuracy": 0.04180197641253471,
"num_tokens": 186357.0,
"step": 90
},
{
"entropy": 10.6961669921875,
"epoch": 0.08632439800090867,
"grad_norm": 1.96875,
"learning_rate": 4.7000000000000004e-05,
"loss": 9.3391,
"mean_token_accuracy": 0.04544849582016468,
"num_tokens": 196124.0,
"step": 95
},
{
"entropy": 10.684025192260743,
"epoch": 0.09086778736937756,
"grad_norm": 1.9609375,
"learning_rate": 4.9500000000000004e-05,
"loss": 9.2392,
"mean_token_accuracy": 0.05092858672142029,
"num_tokens": 205655.0,
"step": 100
},
{
"entropy": 10.664148139953614,
"epoch": 0.09541117673784644,
"grad_norm": 1.875,
"learning_rate": 5.2e-05,
"loss": 9.1639,
"mean_token_accuracy": 0.05325500890612602,
"num_tokens": 215870.0,
"step": 105
},
{
"entropy": 10.64291820526123,
"epoch": 0.09995456610631531,
"grad_norm": 1.90625,
"learning_rate": 5.45e-05,
"loss": 9.0589,
"mean_token_accuracy": 0.056853560358285905,
"num_tokens": 225027.0,
"step": 110
},
{
"entropy": 10.60800380706787,
"epoch": 0.10449795547478419,
"grad_norm": 1.8515625,
"learning_rate": 5.7e-05,
"loss": 8.9662,
"mean_token_accuracy": 0.05881645642220974,
"num_tokens": 236352.0,
"step": 115
},
{
"entropy": 10.564264106750489,
"epoch": 0.10904134484325306,
"grad_norm": 1.8125,
"learning_rate": 5.9499999999999996e-05,
"loss": 8.8255,
"mean_token_accuracy": 0.06017065867781639,
"num_tokens": 246713.0,
"step": 120
},
{
"entropy": 10.5113018989563,
"epoch": 0.11358473421172194,
"grad_norm": 1.7890625,
"learning_rate": 6.2e-05,
"loss": 8.666,
"mean_token_accuracy": 0.06393568031489849,
"num_tokens": 256950.0,
"step": 125
},
{
"entropy": 10.445667171478272,
"epoch": 0.11812812358019083,
"grad_norm": 1.671875,
"learning_rate": 6.450000000000001e-05,
"loss": 8.6162,
"mean_token_accuracy": 0.06482643783092498,
"num_tokens": 267345.0,
"step": 130
},
{
"entropy": 10.374823379516602,
"epoch": 0.1226715129486597,
"grad_norm": 1.9765625,
"learning_rate": 6.7e-05,
"loss": 8.4096,
"mean_token_accuracy": 0.07293099723756313,
"num_tokens": 276782.0,
"step": 135
},
{
"entropy": 10.27814416885376,
"epoch": 0.12721490231712856,
"grad_norm": 1.5390625,
"learning_rate": 6.950000000000001e-05,
"loss": 8.2813,
"mean_token_accuracy": 0.073567845672369,
"num_tokens": 287024.0,
"step": 140
},
{
"entropy": 10.162126541137695,
"epoch": 0.13175829168559747,
"grad_norm": 1.4140625,
"learning_rate": 7.2e-05,
"loss": 8.255,
"mean_token_accuracy": 0.07345798872411251,
"num_tokens": 296597.0,
"step": 145
},
{
"entropy": 10.039239120483398,
"epoch": 0.13630168105406634,
"grad_norm": 1.546875,
"learning_rate": 7.45e-05,
"loss": 8.0456,
"mean_token_accuracy": 0.07541064321994781,
"num_tokens": 307709.0,
"step": 150
},
{
"entropy": 9.879199600219726,
"epoch": 0.14084507042253522,
"grad_norm": 1.2734375,
"learning_rate": 7.7e-05,
"loss": 8.0019,
"mean_token_accuracy": 0.07952367104589939,
"num_tokens": 317976.0,
"step": 155
},
{
"entropy": 9.700241374969483,
"epoch": 0.1453884597910041,
"grad_norm": 1.25,
"learning_rate": 7.950000000000001e-05,
"loss": 7.8309,
"mean_token_accuracy": 0.07648782916367054,
"num_tokens": 327319.0,
"step": 160
},
{
"entropy": 9.498950004577637,
"epoch": 0.14993184915947297,
"grad_norm": 1.2109375,
"learning_rate": 8.2e-05,
"loss": 7.7494,
"mean_token_accuracy": 0.07844193913042545,
"num_tokens": 337337.0,
"step": 165
},
{
"entropy": 9.23708553314209,
"epoch": 0.15447523852794184,
"grad_norm": 1.1484375,
"learning_rate": 8.450000000000001e-05,
"loss": 7.7247,
"mean_token_accuracy": 0.07220172360539437,
"num_tokens": 347779.0,
"step": 170
},
{
"entropy": 9.071245193481445,
"epoch": 0.15901862789641072,
"grad_norm": 1.1484375,
"learning_rate": 8.7e-05,
"loss": 7.6848,
"mean_token_accuracy": 0.07456069067120552,
"num_tokens": 358088.0,
"step": 175
},
{
"entropy": 8.767854022979737,
"epoch": 0.1635620172648796,
"grad_norm": 0.95703125,
"learning_rate": 8.95e-05,
"loss": 7.5652,
"mean_token_accuracy": 0.07797556966543198,
"num_tokens": 368314.0,
"step": 180
},
{
"entropy": 8.613600921630859,
"epoch": 0.16810540663334847,
"grad_norm": 0.890625,
"learning_rate": 9.2e-05,
"loss": 7.4354,
"mean_token_accuracy": 0.08428428322076797,
"num_tokens": 378406.0,
"step": 185
},
{
"entropy": 8.429571628570557,
"epoch": 0.17264879600181735,
"grad_norm": 0.875,
"learning_rate": 9.45e-05,
"loss": 7.439,
"mean_token_accuracy": 0.08039730936288833,
"num_tokens": 388912.0,
"step": 190
},
{
"entropy": 8.273902130126952,
"epoch": 0.17719218537028622,
"grad_norm": 0.828125,
"learning_rate": 9.7e-05,
"loss": 7.4157,
"mean_token_accuracy": 0.08314879797399044,
"num_tokens": 399290.0,
"step": 195
},
{
"entropy": 8.167303562164307,
"epoch": 0.18173557473875512,
"grad_norm": 0.7421875,
"learning_rate": 9.95e-05,
"loss": 7.322,
"mean_token_accuracy": 0.08215823769569397,
"num_tokens": 409757.0,
"step": 200
},
{
"entropy": 8.126931190490723,
"epoch": 0.186278964107224,
"grad_norm": 1.171875,
"learning_rate": 0.000102,
"loss": 7.4599,
"mean_token_accuracy": 0.08315562084317207,
"num_tokens": 420182.0,
"step": 205
},
{
"entropy": 8.04471731185913,
"epoch": 0.19082235347569287,
"grad_norm": 0.875,
"learning_rate": 0.00010449999999999999,
"loss": 7.3635,
"mean_token_accuracy": 0.08014154359698296,
"num_tokens": 429897.0,
"step": 210
},
{
"entropy": 7.973057556152344,
"epoch": 0.19536574284416175,
"grad_norm": 0.90234375,
"learning_rate": 0.000107,
"loss": 7.2597,
"mean_token_accuracy": 0.08170034214854241,
"num_tokens": 441131.0,
"step": 215
},
{
"entropy": 7.934465074539185,
"epoch": 0.19990913221263062,
"grad_norm": 0.76953125,
"learning_rate": 0.0001095,
"loss": 7.2285,
"mean_token_accuracy": 0.08460488840937615,
"num_tokens": 451894.0,
"step": 220
},
{
"entropy": 7.865971183776855,
"epoch": 0.2044525215810995,
"grad_norm": 0.953125,
"learning_rate": 0.000112,
"loss": 7.1586,
"mean_token_accuracy": 0.08472679629921913,
"num_tokens": 462613.0,
"step": 225
},
{
"entropy": 7.905964708328247,
"epoch": 0.20899591094956838,
"grad_norm": 0.9140625,
"learning_rate": 0.0001145,
"loss": 7.2551,
"mean_token_accuracy": 0.08738799616694451,
"num_tokens": 471606.0,
"step": 230
},
{
"entropy": 7.820685958862304,
"epoch": 0.21353930031803725,
"grad_norm": 0.984375,
"learning_rate": 0.00011700000000000001,
"loss": 7.1499,
"mean_token_accuracy": 0.08987567648291588,
"num_tokens": 481559.0,
"step": 235
},
{
"entropy": 7.777825260162354,
"epoch": 0.21808268968650613,
"grad_norm": 0.96875,
"learning_rate": 0.00011949999999999999,
"loss": 7.1686,
"mean_token_accuracy": 0.0859978199005127,
"num_tokens": 492766.0,
"step": 240
},
{
"entropy": 7.835345315933227,
"epoch": 0.222626079054975,
"grad_norm": 1.03125,
"learning_rate": 0.000122,
"loss": 7.2285,
"mean_token_accuracy": 0.08684551119804382,
"num_tokens": 503357.0,
"step": 245
},
{
"entropy": 7.6760852336883545,
"epoch": 0.22716946842344388,
"grad_norm": 1.0625,
"learning_rate": 0.0001245,
"loss": 7.0637,
"mean_token_accuracy": 0.08950686678290368,
"num_tokens": 513098.0,
"step": 250
},
{
"entropy": 7.730396175384522,
"epoch": 0.23171285779191278,
"grad_norm": 0.98828125,
"learning_rate": 0.000127,
"loss": 7.1422,
"mean_token_accuracy": 0.08494780957698822,
"num_tokens": 522807.0,
"step": 255
},
{
"entropy": 7.82570514678955,
"epoch": 0.23625624716038165,
"grad_norm": 0.890625,
"learning_rate": 0.0001295,
"loss": 7.1568,
"mean_token_accuracy": 0.0862432986497879,
"num_tokens": 532670.0,
"step": 260
},
{
"entropy": 7.713788843154907,
"epoch": 0.24079963652885053,
"grad_norm": 0.90625,
"learning_rate": 0.000132,
"loss": 7.0973,
"mean_token_accuracy": 0.0868481919169426,
"num_tokens": 543647.0,
"step": 265
},
{
"entropy": 7.765906810760498,
"epoch": 0.2453430258973194,
"grad_norm": 1.2109375,
"learning_rate": 0.00013450000000000002,
"loss": 7.112,
"mean_token_accuracy": 0.09636801481246948,
"num_tokens": 553047.0,
"step": 270
},
{
"entropy": 7.660856294631958,
"epoch": 0.24988641526578828,
"grad_norm": 0.91015625,
"learning_rate": 0.00013700000000000002,
"loss": 7.1678,
"mean_token_accuracy": 0.09444689303636551,
"num_tokens": 563413.0,
"step": 275
},
{
"entropy": 7.606683969497681,
"epoch": 0.25442980463425713,
"grad_norm": 0.921875,
"learning_rate": 0.0001395,
"loss": 7.1218,
"mean_token_accuracy": 0.089845459908247,
"num_tokens": 573790.0,
"step": 280
},
{
"entropy": 7.731978559494019,
"epoch": 0.25897319400272606,
"grad_norm": 1.1015625,
"learning_rate": 0.00014199999999999998,
"loss": 7.0439,
"mean_token_accuracy": 0.09121683463454247,
"num_tokens": 582958.0,
"step": 285
},
{
"entropy": 7.521587800979614,
"epoch": 0.26351658337119493,
"grad_norm": 1.0234375,
"learning_rate": 0.0001445,
"loss": 6.9904,
"mean_token_accuracy": 0.09767817184329033,
"num_tokens": 592886.0,
"step": 290
},
{
"entropy": 7.548699855804443,
"epoch": 0.2680599727396638,
"grad_norm": 0.97265625,
"learning_rate": 0.000147,
"loss": 7.0399,
"mean_token_accuracy": 0.09062462002038955,
"num_tokens": 603692.0,
"step": 295
},
{
"entropy": 7.651094913482666,
"epoch": 0.2726033621081327,
"grad_norm": 0.9765625,
"learning_rate": 0.0001495,
"loss": 7.0823,
"mean_token_accuracy": 0.0895950011909008,
"num_tokens": 613534.0,
"step": 300
},
{
"entropy": 7.61688346862793,
"epoch": 0.27714675147660156,
"grad_norm": 1.0546875,
"learning_rate": 0.000152,
"loss": 7.0274,
"mean_token_accuracy": 0.09576684832572938,
"num_tokens": 623862.0,
"step": 305
},
{
"entropy": 7.62919430732727,
"epoch": 0.28169014084507044,
"grad_norm": 1.171875,
"learning_rate": 0.00015450000000000001,
"loss": 7.1036,
"mean_token_accuracy": 0.09453180059790611,
"num_tokens": 633759.0,
"step": 310
},
{
"entropy": 7.475176191329956,
"epoch": 0.2862335302135393,
"grad_norm": 0.9765625,
"learning_rate": 0.000157,
"loss": 6.9859,
"mean_token_accuracy": 0.09430009499192238,
"num_tokens": 643553.0,
"step": 315
},
{
"entropy": 7.528373908996582,
"epoch": 0.2907769195820082,
"grad_norm": 0.89453125,
"learning_rate": 0.0001595,
"loss": 6.9115,
"mean_token_accuracy": 0.09864105582237244,
"num_tokens": 653714.0,
"step": 320
},
{
"entropy": 7.604555463790893,
"epoch": 0.29532030895047706,
"grad_norm": 1.109375,
"learning_rate": 0.000162,
"loss": 6.9306,
"mean_token_accuracy": 0.10158697441220284,
"num_tokens": 662817.0,
"step": 325
},
{
"entropy": 7.483990573883057,
"epoch": 0.29986369831894594,
"grad_norm": 1.2265625,
"learning_rate": 0.00016450000000000001,
"loss": 6.9631,
"mean_token_accuracy": 0.0952290877699852,
"num_tokens": 672381.0,
"step": 330
},
{
"entropy": 7.382349872589112,
"epoch": 0.3044070876874148,
"grad_norm": 0.9765625,
"learning_rate": 0.00016700000000000002,
"loss": 6.8338,
"mean_token_accuracy": 0.09701873064041137,
"num_tokens": 682525.0,
"step": 335
},
{
"entropy": 7.496461296081543,
"epoch": 0.3089504770558837,
"grad_norm": 1.1484375,
"learning_rate": 0.00016950000000000003,
"loss": 6.9359,
"mean_token_accuracy": 0.09759294539690018,
"num_tokens": 691826.0,
"step": 340
},
{
"entropy": 7.394898748397827,
"epoch": 0.31349386642435256,
"grad_norm": 1.1171875,
"learning_rate": 0.00017199999999999998,
"loss": 6.9089,
"mean_token_accuracy": 0.10296000391244889,
"num_tokens": 701319.0,
"step": 345
},
{
"entropy": 7.4353029251098635,
"epoch": 0.31803725579282144,
"grad_norm": 1.28125,
"learning_rate": 0.00017449999999999999,
"loss": 6.998,
"mean_token_accuracy": 0.0935439720749855,
"num_tokens": 710888.0,
"step": 350
},
{
"entropy": 7.49090256690979,
"epoch": 0.3225806451612903,
"grad_norm": 0.91015625,
"learning_rate": 0.000177,
"loss": 6.9328,
"mean_token_accuracy": 0.09594348818063736,
"num_tokens": 722516.0,
"step": 355
},
{
"entropy": 7.475078916549682,
"epoch": 0.3271240345297592,
"grad_norm": 1.203125,
"learning_rate": 0.0001795,
"loss": 6.9103,
"mean_token_accuracy": 0.09800132587552071,
"num_tokens": 733058.0,
"step": 360
},
{
"entropy": 7.39355149269104,
"epoch": 0.33166742389822806,
"grad_norm": 1.0625,
"learning_rate": 0.000182,
"loss": 6.974,
"mean_token_accuracy": 0.09975532218813896,
"num_tokens": 744832.0,
"step": 365
},
{
"entropy": 7.496864604949951,
"epoch": 0.33621081326669694,
"grad_norm": 1.140625,
"learning_rate": 0.0001845,
"loss": 6.9025,
"mean_token_accuracy": 0.09925103634595871,
"num_tokens": 755387.0,
"step": 370
},
{
"entropy": 7.3132157802581785,
"epoch": 0.3407542026351658,
"grad_norm": 1.1328125,
"learning_rate": 0.000187,
"loss": 6.8349,
"mean_token_accuracy": 0.1016771987080574,
"num_tokens": 764455.0,
"step": 375
},
{
"entropy": 7.339641284942627,
"epoch": 0.3452975920036347,
"grad_norm": 1.2734375,
"learning_rate": 0.0001895,
"loss": 6.8903,
"mean_token_accuracy": 0.09662013798952103,
"num_tokens": 774513.0,
"step": 380
},
{
"entropy": 7.49444260597229,
"epoch": 0.34984098137210357,
"grad_norm": 1.1484375,
"learning_rate": 0.000192,
"loss": 6.9771,
"mean_token_accuracy": 0.09587227553129196,
"num_tokens": 785540.0,
"step": 385
},
{
"entropy": 7.336615896224975,
"epoch": 0.35438437074057244,
"grad_norm": 1.1015625,
"learning_rate": 0.0001945,
"loss": 6.8417,
"mean_token_accuracy": 0.09714982733130455,
"num_tokens": 795233.0,
"step": 390
},
{
"entropy": 7.437350511550903,
"epoch": 0.35892776010904137,
"grad_norm": 1.234375,
"learning_rate": 0.00019700000000000002,
"loss": 6.8975,
"mean_token_accuracy": 0.09597025141119957,
"num_tokens": 804855.0,
"step": 395
},
{
"entropy": 7.3508072853088375,
"epoch": 0.36347114947751025,
"grad_norm": 1.0703125,
"learning_rate": 0.00019950000000000002,
"loss": 6.8581,
"mean_token_accuracy": 0.10273054391145706,
"num_tokens": 814818.0,
"step": 400
},
{
"entropy": 7.307885694503784,
"epoch": 0.3680145388459791,
"grad_norm": 1.0859375,
"learning_rate": 0.000202,
"loss": 6.8737,
"mean_token_accuracy": 0.10590235516428947,
"num_tokens": 824622.0,
"step": 405
},
{
"entropy": 7.379908847808838,
"epoch": 0.372557928214448,
"grad_norm": 1.0625,
"learning_rate": 0.00020449999999999998,
"loss": 6.7626,
"mean_token_accuracy": 0.10957324355840684,
"num_tokens": 834813.0,
"step": 410
},
{
"entropy": 7.205720233917236,
"epoch": 0.3771013175829169,
"grad_norm": 0.98046875,
"learning_rate": 0.000207,
"loss": 6.8537,
"mean_token_accuracy": 0.10128433629870415,
"num_tokens": 844887.0,
"step": 415
},
{
"entropy": 7.279560470581055,
"epoch": 0.38164470695138575,
"grad_norm": 0.99609375,
"learning_rate": 0.0002095,
"loss": 6.8512,
"mean_token_accuracy": 0.10131347700953483,
"num_tokens": 855430.0,
"step": 420
},
{
"entropy": 7.237056398391724,
"epoch": 0.3861880963198546,
"grad_norm": 1.046875,
"learning_rate": 0.000212,
"loss": 6.6942,
"mean_token_accuracy": 0.10520395040512084,
"num_tokens": 866052.0,
"step": 425
},
{
"entropy": 7.226158237457275,
"epoch": 0.3907314856883235,
"grad_norm": 0.82421875,
"learning_rate": 0.0002145,
"loss": 6.8429,
"mean_token_accuracy": 0.0950412966310978,
"num_tokens": 877961.0,
"step": 430
},
{
"entropy": 7.291323947906494,
"epoch": 0.3952748750567924,
"grad_norm": 1.0625,
"learning_rate": 0.00021700000000000002,
"loss": 6.8103,
"mean_token_accuracy": 0.10648028403520585,
"num_tokens": 888386.0,
"step": 435
},
{
"entropy": 7.235066747665405,
"epoch": 0.39981826442526125,
"grad_norm": 1.0234375,
"learning_rate": 0.0002195,
"loss": 6.8563,
"mean_token_accuracy": 0.10282102078199387,
"num_tokens": 898272.0,
"step": 440
},
{
"entropy": 7.281696557998657,
"epoch": 0.4043616537937301,
"grad_norm": 0.99609375,
"learning_rate": 0.000222,
"loss": 6.8014,
"mean_token_accuracy": 0.1076163724064827,
"num_tokens": 908317.0,
"step": 445
},
{
"entropy": 7.248809957504273,
"epoch": 0.408905043162199,
"grad_norm": 0.91015625,
"learning_rate": 0.0002245,
"loss": 6.7819,
"mean_token_accuracy": 0.10194819942116737,
"num_tokens": 917970.0,
"step": 450
},
{
"entropy": 7.240721273422241,
"epoch": 0.4134484325306679,
"grad_norm": 1.203125,
"learning_rate": 0.00022700000000000002,
"loss": 6.8191,
"mean_token_accuracy": 0.09906565770506859,
"num_tokens": 928132.0,
"step": 455
},
{
"entropy": 7.241307735443115,
"epoch": 0.41799182189913675,
"grad_norm": 1.1171875,
"learning_rate": 0.00022950000000000002,
"loss": 6.747,
"mean_token_accuracy": 0.1059770368039608,
"num_tokens": 938092.0,
"step": 460
},
{
"entropy": 7.299763536453247,
"epoch": 0.4225352112676056,
"grad_norm": 0.96484375,
"learning_rate": 0.00023200000000000003,
"loss": 6.8651,
"mean_token_accuracy": 0.10198809579014778,
"num_tokens": 948650.0,
"step": 465
},
{
"entropy": 7.130692863464356,
"epoch": 0.4270786006360745,
"grad_norm": 1.0,
"learning_rate": 0.00023449999999999998,
"loss": 6.7675,
"mean_token_accuracy": 0.10987066626548767,
"num_tokens": 960195.0,
"step": 470
},
{
"entropy": 7.254830408096313,
"epoch": 0.4316219900045434,
"grad_norm": 1.0859375,
"learning_rate": 0.000237,
"loss": 6.7984,
"mean_token_accuracy": 0.10485964193940163,
"num_tokens": 970608.0,
"step": 475
},
{
"entropy": 7.314376783370972,
"epoch": 0.43616537937301225,
"grad_norm": 1.34375,
"learning_rate": 0.0002395,
"loss": 6.7811,
"mean_token_accuracy": 0.10285131707787513,
"num_tokens": 981053.0,
"step": 480
},
{
"entropy": 7.066157007217408,
"epoch": 0.4407087687414811,
"grad_norm": 1.1328125,
"learning_rate": 0.000242,
"loss": 6.703,
"mean_token_accuracy": 0.11324564591050149,
"num_tokens": 991560.0,
"step": 485
},
{
"entropy": 7.167983913421631,
"epoch": 0.44525215810995,
"grad_norm": 1.171875,
"learning_rate": 0.0002445,
"loss": 6.7507,
"mean_token_accuracy": 0.1001538448035717,
"num_tokens": 1002008.0,
"step": 490
},
{
"entropy": 7.145689487457275,
"epoch": 0.4497955474784189,
"grad_norm": 1.0,
"learning_rate": 0.000247,
"loss": 6.7502,
"mean_token_accuracy": 0.10835718214511872,
"num_tokens": 1012349.0,
"step": 495
},
{
"entropy": 7.15342149734497,
"epoch": 0.45433893684688775,
"grad_norm": 1.09375,
"learning_rate": 0.0002495,
"loss": 6.7273,
"mean_token_accuracy": 0.10544943064451218,
"num_tokens": 1022886.0,
"step": 500
},
{
"epoch": 0.45433893684688775,
"eval_entropy": 7.164822139296421,
"eval_loss": 6.852421760559082,
"eval_mean_token_accuracy": 0.10633610026954218,
"eval_num_tokens": 1022886.0,
"eval_runtime": 2.0057,
"eval_samples_per_second": 1712.63,
"eval_steps_per_second": 214.39,
"step": 500
}
],
"logging_steps": 5,
"max_steps": 11000,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 221422467317760.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}