Files
nld-latn-100mb-ppt-Dp-10mb_…/checkpoint-500/trainer_state.json
ModelHub XC c9493d38c3 初始化项目,由ModelHub XC社区提供模型
Model: fpadovani/nld-latn-100mb-ppt-Dp-10mb_seed3407
Source: Original Platform
2026-07-12 18:07:13 +08:00

1035 lines
27 KiB
JSON

{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.029521166676507057,
"eval_steps": 500,
"global_step": 500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"entropy": 10.69201593399048,
"epoch": 0.00029521166676507054,
"grad_norm": 12.6875,
"learning_rate": 2e-06,
"loss": 10.8334,
"mean_token_accuracy": 0.0,
"num_tokens": 10275.0,
"step": 5
},
{
"entropy": 10.691933250427246,
"epoch": 0.0005904233335301411,
"grad_norm": 13.1875,
"learning_rate": 4.5e-06,
"loss": 10.7937,
"mean_token_accuracy": 0.0,
"num_tokens": 22020.0,
"step": 10
},
{
"entropy": 10.691065883636474,
"epoch": 0.0008856350002952116,
"grad_norm": 9.5625,
"learning_rate": 7e-06,
"loss": 10.5174,
"mean_token_accuracy": 0.021099633118137718,
"num_tokens": 32612.0,
"step": 15
},
{
"entropy": 10.68113021850586,
"epoch": 0.0011808466670602822,
"grad_norm": 6.21875,
"learning_rate": 9.5e-06,
"loss": 10.1848,
"mean_token_accuracy": 0.04274020157754421,
"num_tokens": 43270.0,
"step": 20
},
{
"entropy": 10.621037483215332,
"epoch": 0.0014760583338253527,
"grad_norm": 3.84375,
"learning_rate": 1.2e-05,
"loss": 9.9202,
"mean_token_accuracy": 0.04267438128590584,
"num_tokens": 54178.0,
"step": 25
},
{
"entropy": 10.595892238616944,
"epoch": 0.0017712700005904232,
"grad_norm": 3.234375,
"learning_rate": 1.4500000000000002e-05,
"loss": 9.7559,
"mean_token_accuracy": 0.043279900401830676,
"num_tokens": 64390.0,
"step": 30
},
{
"entropy": 10.602502059936523,
"epoch": 0.002066481667355494,
"grad_norm": 2.921875,
"learning_rate": 1.7000000000000003e-05,
"loss": 9.6682,
"mean_token_accuracy": 0.043131088465452196,
"num_tokens": 73703.0,
"step": 35
},
{
"entropy": 10.59941120147705,
"epoch": 0.0023616933341205643,
"grad_norm": 2.6875,
"learning_rate": 1.95e-05,
"loss": 9.6023,
"mean_token_accuracy": 0.04174515642225742,
"num_tokens": 83463.0,
"step": 40
},
{
"entropy": 10.594866466522216,
"epoch": 0.002656905000885635,
"grad_norm": 2.515625,
"learning_rate": 2.2e-05,
"loss": 9.6097,
"mean_token_accuracy": 0.04398317113518715,
"num_tokens": 94129.0,
"step": 45
},
{
"entropy": 10.567664051055909,
"epoch": 0.0029521166676507054,
"grad_norm": 2.421875,
"learning_rate": 2.4500000000000003e-05,
"loss": 9.558,
"mean_token_accuracy": 0.043352384492754935,
"num_tokens": 105482.0,
"step": 50
},
{
"entropy": 10.569747066497802,
"epoch": 0.003247328334415776,
"grad_norm": 2.453125,
"learning_rate": 2.7e-05,
"loss": 9.4562,
"mean_token_accuracy": 0.043072767183184625,
"num_tokens": 117342.0,
"step": 55
},
{
"entropy": 10.565975093841553,
"epoch": 0.0035425400011808465,
"grad_norm": 2.25,
"learning_rate": 2.95e-05,
"loss": 9.44,
"mean_token_accuracy": 0.050405914708971974,
"num_tokens": 127691.0,
"step": 60
},
{
"entropy": 10.458717250823975,
"epoch": 0.0038377516679459172,
"grad_norm": 2.46875,
"learning_rate": 3.2e-05,
"loss": 9.2492,
"mean_token_accuracy": 0.05396741069853306,
"num_tokens": 138186.0,
"step": 65
},
{
"entropy": 10.420860767364502,
"epoch": 0.004132963334710988,
"grad_norm": 2.28125,
"learning_rate": 3.4500000000000005e-05,
"loss": 9.2326,
"mean_token_accuracy": 0.06198026090860367,
"num_tokens": 149578.0,
"step": 70
},
{
"entropy": 10.452775382995606,
"epoch": 0.004428175001476058,
"grad_norm": 2.21875,
"learning_rate": 3.7e-05,
"loss": 9.1186,
"mean_token_accuracy": 0.06664705500006676,
"num_tokens": 160139.0,
"step": 75
},
{
"entropy": 10.454645347595214,
"epoch": 0.004723386668241129,
"grad_norm": 2.296875,
"learning_rate": 3.95e-05,
"loss": 9.037,
"mean_token_accuracy": 0.06905781887471676,
"num_tokens": 170768.0,
"step": 80
},
{
"entropy": 10.332771587371827,
"epoch": 0.0050185983350062,
"grad_norm": 2.3125,
"learning_rate": 4.2000000000000004e-05,
"loss": 8.8423,
"mean_token_accuracy": 0.07480080313980579,
"num_tokens": 180702.0,
"step": 85
},
{
"entropy": 10.249947929382325,
"epoch": 0.00531381000177127,
"grad_norm": 2.328125,
"learning_rate": 4.45e-05,
"loss": 8.7738,
"mean_token_accuracy": 0.07588593885302544,
"num_tokens": 191188.0,
"step": 90
},
{
"entropy": 10.206402206420899,
"epoch": 0.0056090216685363405,
"grad_norm": 3.609375,
"learning_rate": 4.7000000000000004e-05,
"loss": 8.6866,
"mean_token_accuracy": 0.07205914407968521,
"num_tokens": 201094.0,
"step": 95
},
{
"entropy": 10.155156707763672,
"epoch": 0.005904233335301411,
"grad_norm": 3.046875,
"learning_rate": 4.9500000000000004e-05,
"loss": 8.5626,
"mean_token_accuracy": 0.076263627409935,
"num_tokens": 211718.0,
"step": 100
},
{
"entropy": 10.151510620117188,
"epoch": 0.006199445002066482,
"grad_norm": 2.25,
"learning_rate": 5.2e-05,
"loss": 8.4394,
"mean_token_accuracy": 0.07763982266187668,
"num_tokens": 221446.0,
"step": 105
},
{
"entropy": 10.075346565246582,
"epoch": 0.006494656668831552,
"grad_norm": 1.84375,
"learning_rate": 5.45e-05,
"loss": 8.4619,
"mean_token_accuracy": 0.07559167668223381,
"num_tokens": 232848.0,
"step": 110
},
{
"entropy": 10.015703201293945,
"epoch": 0.006789868335596623,
"grad_norm": 1.8046875,
"learning_rate": 5.7e-05,
"loss": 8.3798,
"mean_token_accuracy": 0.0727357666939497,
"num_tokens": 244008.0,
"step": 115
},
{
"entropy": 9.909519577026368,
"epoch": 0.007085080002361693,
"grad_norm": 1.6171875,
"learning_rate": 5.9499999999999996e-05,
"loss": 8.1771,
"mean_token_accuracy": 0.08037759214639664,
"num_tokens": 256211.0,
"step": 120
},
{
"entropy": 9.780295848846436,
"epoch": 0.007380291669126764,
"grad_norm": 1.6171875,
"learning_rate": 6.2e-05,
"loss": 8.1207,
"mean_token_accuracy": 0.07622570730745792,
"num_tokens": 266688.0,
"step": 125
},
{
"entropy": 9.564407634735108,
"epoch": 0.0076755033358918345,
"grad_norm": 1.4609375,
"learning_rate": 6.450000000000001e-05,
"loss": 7.9156,
"mean_token_accuracy": 0.07875195294618606,
"num_tokens": 276930.0,
"step": 130
},
{
"entropy": 9.403815078735352,
"epoch": 0.007970715002656906,
"grad_norm": 1.5546875,
"learning_rate": 6.7e-05,
"loss": 7.7559,
"mean_token_accuracy": 0.08111081309616566,
"num_tokens": 287508.0,
"step": 135
},
{
"entropy": 9.18376874923706,
"epoch": 0.008265926669421976,
"grad_norm": 1.4609375,
"learning_rate": 6.950000000000001e-05,
"loss": 7.6109,
"mean_token_accuracy": 0.08215704038739205,
"num_tokens": 298021.0,
"step": 140
},
{
"entropy": 8.89451036453247,
"epoch": 0.008561138336187046,
"grad_norm": 1.1875,
"learning_rate": 7.2e-05,
"loss": 7.5483,
"mean_token_accuracy": 0.0828169234097004,
"num_tokens": 308301.0,
"step": 145
},
{
"entropy": 8.718179512023926,
"epoch": 0.008856350002952117,
"grad_norm": 1.734375,
"learning_rate": 7.45e-05,
"loss": 7.4558,
"mean_token_accuracy": 0.07895909734070301,
"num_tokens": 319321.0,
"step": 150
},
{
"entropy": 8.486823749542236,
"epoch": 0.009151561669717187,
"grad_norm": 1.3125,
"learning_rate": 7.7e-05,
"loss": 7.5026,
"mean_token_accuracy": 0.07978610247373581,
"num_tokens": 330926.0,
"step": 155
},
{
"entropy": 8.353065967559814,
"epoch": 0.009446773336482257,
"grad_norm": 1.1953125,
"learning_rate": 7.950000000000001e-05,
"loss": 7.3196,
"mean_token_accuracy": 0.08807190880179405,
"num_tokens": 341133.0,
"step": 160
},
{
"entropy": 8.217400360107423,
"epoch": 0.009741985003247328,
"grad_norm": 1.40625,
"learning_rate": 8.2e-05,
"loss": 7.3374,
"mean_token_accuracy": 0.08286328092217446,
"num_tokens": 351897.0,
"step": 165
},
{
"entropy": 8.153849840164185,
"epoch": 0.0100371966700124,
"grad_norm": 1.1796875,
"learning_rate": 8.450000000000001e-05,
"loss": 7.3121,
"mean_token_accuracy": 0.08045563325285912,
"num_tokens": 362644.0,
"step": 170
},
{
"entropy": 8.020972394943238,
"epoch": 0.01033240833677747,
"grad_norm": 1.3515625,
"learning_rate": 8.7e-05,
"loss": 7.3254,
"mean_token_accuracy": 0.08039250746369361,
"num_tokens": 373902.0,
"step": 175
},
{
"entropy": 7.979048109054565,
"epoch": 0.01062762000354254,
"grad_norm": 1.453125,
"learning_rate": 8.95e-05,
"loss": 7.2138,
"mean_token_accuracy": 0.09198684617877007,
"num_tokens": 384828.0,
"step": 180
},
{
"entropy": 7.852319145202637,
"epoch": 0.01092283167030761,
"grad_norm": 1.375,
"learning_rate": 9.2e-05,
"loss": 7.227,
"mean_token_accuracy": 0.08049636781215667,
"num_tokens": 395103.0,
"step": 185
},
{
"entropy": 7.785118961334229,
"epoch": 0.011218043337072681,
"grad_norm": 1.3359375,
"learning_rate": 9.45e-05,
"loss": 7.1629,
"mean_token_accuracy": 0.09020237326622009,
"num_tokens": 405283.0,
"step": 190
},
{
"entropy": 7.803817939758301,
"epoch": 0.011513255003837751,
"grad_norm": 1.53125,
"learning_rate": 9.7e-05,
"loss": 7.1458,
"mean_token_accuracy": 0.08684369623661041,
"num_tokens": 416005.0,
"step": 195
},
{
"entropy": 7.734343099594116,
"epoch": 0.011808466670602822,
"grad_norm": 1.28125,
"learning_rate": 9.95e-05,
"loss": 7.1475,
"mean_token_accuracy": 0.08818956762552262,
"num_tokens": 426547.0,
"step": 200
},
{
"entropy": 7.702443599700928,
"epoch": 0.012103678337367892,
"grad_norm": 1.1484375,
"learning_rate": 0.000102,
"loss": 7.0801,
"mean_token_accuracy": 0.09228792935609817,
"num_tokens": 436262.0,
"step": 205
},
{
"entropy": 7.663109302520752,
"epoch": 0.012398890004132964,
"grad_norm": 1.578125,
"learning_rate": 0.00010449999999999999,
"loss": 7.101,
"mean_token_accuracy": 0.08728625029325485,
"num_tokens": 446899.0,
"step": 210
},
{
"entropy": 7.67796368598938,
"epoch": 0.012694101670898034,
"grad_norm": 1.140625,
"learning_rate": 0.000107,
"loss": 7.1407,
"mean_token_accuracy": 0.08986683264374733,
"num_tokens": 458224.0,
"step": 215
},
{
"entropy": 7.675721073150635,
"epoch": 0.012989313337663105,
"grad_norm": 1.2109375,
"learning_rate": 0.0001095,
"loss": 7.0746,
"mean_token_accuracy": 0.08677861616015434,
"num_tokens": 469306.0,
"step": 220
},
{
"entropy": 7.5801355838775635,
"epoch": 0.013284525004428175,
"grad_norm": 1.6953125,
"learning_rate": 0.000112,
"loss": 7.0774,
"mean_token_accuracy": 0.0875390887260437,
"num_tokens": 478685.0,
"step": 225
},
{
"entropy": 7.611648845672607,
"epoch": 0.013579736671193245,
"grad_norm": 1.296875,
"learning_rate": 0.0001145,
"loss": 7.0051,
"mean_token_accuracy": 0.09632268622517585,
"num_tokens": 489376.0,
"step": 230
},
{
"entropy": 7.525375843048096,
"epoch": 0.013874948337958316,
"grad_norm": 1.2109375,
"learning_rate": 0.00011700000000000001,
"loss": 7.0117,
"mean_token_accuracy": 0.0921477772295475,
"num_tokens": 500260.0,
"step": 235
},
{
"entropy": 7.426083660125732,
"epoch": 0.014170160004723386,
"grad_norm": 1.265625,
"learning_rate": 0.00011949999999999999,
"loss": 7.0023,
"mean_token_accuracy": 0.09566814824938774,
"num_tokens": 511953.0,
"step": 240
},
{
"entropy": 7.632671928405761,
"epoch": 0.014465371671488458,
"grad_norm": 1.3359375,
"learning_rate": 0.000122,
"loss": 7.1873,
"mean_token_accuracy": 0.08889849931001663,
"num_tokens": 523055.0,
"step": 245
},
{
"entropy": 7.509737873077393,
"epoch": 0.014760583338253528,
"grad_norm": 1.296875,
"learning_rate": 0.0001245,
"loss": 6.9947,
"mean_token_accuracy": 0.09188270270824432,
"num_tokens": 534337.0,
"step": 250
},
{
"entropy": 7.46486268043518,
"epoch": 0.015055795005018599,
"grad_norm": 1.421875,
"learning_rate": 0.000127,
"loss": 6.9868,
"mean_token_accuracy": 0.09533577933907508,
"num_tokens": 545189.0,
"step": 255
},
{
"entropy": 7.538589096069336,
"epoch": 0.015351006671783669,
"grad_norm": 1.1875,
"learning_rate": 0.0001295,
"loss": 7.0231,
"mean_token_accuracy": 0.09476621299982071,
"num_tokens": 555506.0,
"step": 260
},
{
"entropy": 7.462624025344849,
"epoch": 0.01564621833854874,
"grad_norm": 1.1328125,
"learning_rate": 0.000132,
"loss": 6.9308,
"mean_token_accuracy": 0.0939927913248539,
"num_tokens": 565936.0,
"step": 265
},
{
"entropy": 7.461940479278565,
"epoch": 0.01594143000531381,
"grad_norm": 1.1796875,
"learning_rate": 0.00013450000000000002,
"loss": 7.033,
"mean_token_accuracy": 0.09217713922262191,
"num_tokens": 575691.0,
"step": 270
},
{
"entropy": 7.481535339355469,
"epoch": 0.01623664167207888,
"grad_norm": 1.2265625,
"learning_rate": 0.00013700000000000002,
"loss": 6.9921,
"mean_token_accuracy": 0.09237621873617172,
"num_tokens": 586170.0,
"step": 275
},
{
"entropy": 7.461501359939575,
"epoch": 0.016531853338843952,
"grad_norm": 1.453125,
"learning_rate": 0.0001395,
"loss": 6.9755,
"mean_token_accuracy": 0.09221490249037742,
"num_tokens": 596458.0,
"step": 280
},
{
"entropy": 7.365391731262207,
"epoch": 0.016827065005609022,
"grad_norm": 1.125,
"learning_rate": 0.00014199999999999998,
"loss": 6.9201,
"mean_token_accuracy": 0.08767134547233582,
"num_tokens": 606214.0,
"step": 285
},
{
"entropy": 7.444003868103027,
"epoch": 0.017122276672374093,
"grad_norm": 1.4296875,
"learning_rate": 0.0001445,
"loss": 6.9609,
"mean_token_accuracy": 0.09265968054533005,
"num_tokens": 617074.0,
"step": 290
},
{
"entropy": 7.425234937667847,
"epoch": 0.017417488339139163,
"grad_norm": 1.3125,
"learning_rate": 0.000147,
"loss": 6.998,
"mean_token_accuracy": 0.08931455463171005,
"num_tokens": 628057.0,
"step": 295
},
{
"entropy": 7.338685989379883,
"epoch": 0.017712700005904233,
"grad_norm": 1.1171875,
"learning_rate": 0.0001495,
"loss": 6.9406,
"mean_token_accuracy": 0.09267161414027214,
"num_tokens": 638150.0,
"step": 300
},
{
"entropy": 7.352516222000122,
"epoch": 0.018007911672669304,
"grad_norm": 1.25,
"learning_rate": 0.000152,
"loss": 6.8101,
"mean_token_accuracy": 0.10107955634593964,
"num_tokens": 648377.0,
"step": 305
},
{
"entropy": 7.305817174911499,
"epoch": 0.018303123339434374,
"grad_norm": 1.2734375,
"learning_rate": 0.00015450000000000001,
"loss": 6.8875,
"mean_token_accuracy": 0.09907981753349304,
"num_tokens": 658777.0,
"step": 310
},
{
"entropy": 7.311208295822143,
"epoch": 0.018598335006199444,
"grad_norm": 1.2734375,
"learning_rate": 0.000157,
"loss": 6.9908,
"mean_token_accuracy": 0.09044492170214653,
"num_tokens": 669105.0,
"step": 315
},
{
"entropy": 7.355552816390992,
"epoch": 0.018893546672964515,
"grad_norm": 1.109375,
"learning_rate": 0.0001595,
"loss": 6.8608,
"mean_token_accuracy": 0.09483690708875656,
"num_tokens": 679294.0,
"step": 320
},
{
"entropy": 7.222180414199829,
"epoch": 0.019188758339729585,
"grad_norm": 1.125,
"learning_rate": 0.000162,
"loss": 6.829,
"mean_token_accuracy": 0.09829319342970848,
"num_tokens": 690495.0,
"step": 325
},
{
"entropy": 7.220251893997192,
"epoch": 0.019483970006494655,
"grad_norm": 1.1640625,
"learning_rate": 0.00016450000000000001,
"loss": 6.8432,
"mean_token_accuracy": 0.09830230325460435,
"num_tokens": 701002.0,
"step": 330
},
{
"entropy": 7.257207536697388,
"epoch": 0.019779181673259726,
"grad_norm": 1.40625,
"learning_rate": 0.00016700000000000002,
"loss": 6.753,
"mean_token_accuracy": 0.09737947657704353,
"num_tokens": 711488.0,
"step": 335
},
{
"entropy": 7.091268253326416,
"epoch": 0.0200743933400248,
"grad_norm": 1.203125,
"learning_rate": 0.00016950000000000003,
"loss": 6.7863,
"mean_token_accuracy": 0.09428932666778564,
"num_tokens": 722637.0,
"step": 340
},
{
"entropy": 7.228825855255127,
"epoch": 0.02036960500678987,
"grad_norm": 1.2734375,
"learning_rate": 0.00017199999999999998,
"loss": 6.8498,
"mean_token_accuracy": 0.09802942052483558,
"num_tokens": 733212.0,
"step": 345
},
{
"entropy": 7.253208494186401,
"epoch": 0.02066481667355494,
"grad_norm": 1.2578125,
"learning_rate": 0.00017449999999999999,
"loss": 6.7639,
"mean_token_accuracy": 0.09950084388256072,
"num_tokens": 743602.0,
"step": 350
},
{
"entropy": 7.207983446121216,
"epoch": 0.02096002834032001,
"grad_norm": 1.59375,
"learning_rate": 0.000177,
"loss": 6.8151,
"mean_token_accuracy": 0.09879285991191863,
"num_tokens": 754094.0,
"step": 355
},
{
"entropy": 7.099168062210083,
"epoch": 0.02125524000708508,
"grad_norm": 1.1953125,
"learning_rate": 0.0001795,
"loss": 6.7724,
"mean_token_accuracy": 0.09406139552593232,
"num_tokens": 763823.0,
"step": 360
},
{
"entropy": 7.163098907470703,
"epoch": 0.02155045167385015,
"grad_norm": 1.25,
"learning_rate": 0.000182,
"loss": 6.7096,
"mean_token_accuracy": 0.10476447790861129,
"num_tokens": 774128.0,
"step": 365
},
{
"entropy": 7.131285381317139,
"epoch": 0.02184566334061522,
"grad_norm": 1.375,
"learning_rate": 0.0001845,
"loss": 6.7883,
"mean_token_accuracy": 0.09998859390616417,
"num_tokens": 784292.0,
"step": 370
},
{
"entropy": 7.133191156387329,
"epoch": 0.02214087500738029,
"grad_norm": 1.125,
"learning_rate": 0.000187,
"loss": 6.7794,
"mean_token_accuracy": 0.09937844276428223,
"num_tokens": 795437.0,
"step": 375
},
{
"entropy": 7.124974298477173,
"epoch": 0.022436086674145362,
"grad_norm": 1.1875,
"learning_rate": 0.0001895,
"loss": 6.687,
"mean_token_accuracy": 0.10222809389233589,
"num_tokens": 806543.0,
"step": 380
},
{
"entropy": 7.1218994140625,
"epoch": 0.022731298340910432,
"grad_norm": 1.34375,
"learning_rate": 0.000192,
"loss": 6.843,
"mean_token_accuracy": 0.09876690059900284,
"num_tokens": 817179.0,
"step": 385
},
{
"entropy": 7.118319416046143,
"epoch": 0.023026510007675503,
"grad_norm": 1.2421875,
"learning_rate": 0.0001945,
"loss": 6.7608,
"mean_token_accuracy": 0.10439011678099633,
"num_tokens": 826749.0,
"step": 390
},
{
"entropy": 7.08788104057312,
"epoch": 0.023321721674440573,
"grad_norm": 1.1796875,
"learning_rate": 0.00019700000000000002,
"loss": 6.798,
"mean_token_accuracy": 0.09762646481394768,
"num_tokens": 838807.0,
"step": 395
},
{
"entropy": 7.131559801101685,
"epoch": 0.023616933341205643,
"grad_norm": 1.2109375,
"learning_rate": 0.00019950000000000002,
"loss": 6.7766,
"mean_token_accuracy": 0.10133634880185127,
"num_tokens": 849651.0,
"step": 400
},
{
"entropy": 7.159732913970947,
"epoch": 0.023912145007970714,
"grad_norm": 1.28125,
"learning_rate": 0.000202,
"loss": 6.8434,
"mean_token_accuracy": 0.09272509887814522,
"num_tokens": 859753.0,
"step": 405
},
{
"entropy": 7.0073809146881105,
"epoch": 0.024207356674735784,
"grad_norm": 1.1875,
"learning_rate": 0.00020449999999999998,
"loss": 6.7134,
"mean_token_accuracy": 0.10226179882884026,
"num_tokens": 869904.0,
"step": 410
},
{
"entropy": 6.957417392730713,
"epoch": 0.024502568341500858,
"grad_norm": 1.0390625,
"learning_rate": 0.000207,
"loss": 6.73,
"mean_token_accuracy": 0.10192711651325226,
"num_tokens": 880948.0,
"step": 415
},
{
"entropy": 7.170308446884155,
"epoch": 0.024797780008265928,
"grad_norm": 1.046875,
"learning_rate": 0.0002095,
"loss": 6.7966,
"mean_token_accuracy": 0.09502052217721939,
"num_tokens": 892331.0,
"step": 420
},
{
"entropy": 6.980013370513916,
"epoch": 0.025092991675031,
"grad_norm": 1.21875,
"learning_rate": 0.000212,
"loss": 6.628,
"mean_token_accuracy": 0.1050586886703968,
"num_tokens": 901691.0,
"step": 425
},
{
"entropy": 7.007831001281739,
"epoch": 0.02538820334179607,
"grad_norm": 1.1875,
"learning_rate": 0.0002145,
"loss": 6.6769,
"mean_token_accuracy": 0.10150302425026894,
"num_tokens": 912495.0,
"step": 430
},
{
"entropy": 7.010691833496094,
"epoch": 0.02568341500856114,
"grad_norm": 1.2421875,
"learning_rate": 0.00021700000000000002,
"loss": 6.636,
"mean_token_accuracy": 0.1017840936779976,
"num_tokens": 923420.0,
"step": 435
},
{
"entropy": 6.8785758972167965,
"epoch": 0.02597862667532621,
"grad_norm": 1.1875,
"learning_rate": 0.0002195,
"loss": 6.6396,
"mean_token_accuracy": 0.09978873506188393,
"num_tokens": 933598.0,
"step": 440
},
{
"entropy": 6.98797607421875,
"epoch": 0.02627383834209128,
"grad_norm": 1.3046875,
"learning_rate": 0.000222,
"loss": 6.7659,
"mean_token_accuracy": 0.1045355699956417,
"num_tokens": 943229.0,
"step": 445
},
{
"entropy": 6.983278131484985,
"epoch": 0.02656905000885635,
"grad_norm": 1.0625,
"learning_rate": 0.0002245,
"loss": 6.6247,
"mean_token_accuracy": 0.10298437029123306,
"num_tokens": 954425.0,
"step": 450
},
{
"entropy": 7.073006629943848,
"epoch": 0.02686426167562142,
"grad_norm": 1.3359375,
"learning_rate": 0.00022700000000000002,
"loss": 6.745,
"mean_token_accuracy": 0.10184216126799583,
"num_tokens": 965516.0,
"step": 455
},
{
"entropy": 6.900727653503418,
"epoch": 0.02715947334238649,
"grad_norm": 1.0390625,
"learning_rate": 0.00022950000000000002,
"loss": 6.6285,
"mean_token_accuracy": 0.10302256718277931,
"num_tokens": 976469.0,
"step": 460
},
{
"entropy": 6.955856561660767,
"epoch": 0.02745468500915156,
"grad_norm": 1.140625,
"learning_rate": 0.00023200000000000003,
"loss": 6.7139,
"mean_token_accuracy": 0.09732916429638863,
"num_tokens": 986946.0,
"step": 465
},
{
"entropy": 6.982401418685913,
"epoch": 0.02774989667591663,
"grad_norm": 1.1796875,
"learning_rate": 0.00023449999999999998,
"loss": 6.612,
"mean_token_accuracy": 0.10779485702514649,
"num_tokens": 997101.0,
"step": 470
},
{
"entropy": 6.9505868434906,
"epoch": 0.0280451083426817,
"grad_norm": 1.2890625,
"learning_rate": 0.000237,
"loss": 6.7346,
"mean_token_accuracy": 0.10266673490405083,
"num_tokens": 1007866.0,
"step": 475
},
{
"entropy": 7.019359874725342,
"epoch": 0.028340320009446772,
"grad_norm": 1.3203125,
"learning_rate": 0.0002395,
"loss": 6.7355,
"mean_token_accuracy": 0.09643693268299103,
"num_tokens": 1019377.0,
"step": 480
},
{
"entropy": 6.936902332305908,
"epoch": 0.028635531676211842,
"grad_norm": 1.28125,
"learning_rate": 0.000242,
"loss": 6.7267,
"mean_token_accuracy": 0.09898768290877343,
"num_tokens": 1031278.0,
"step": 485
},
{
"entropy": 6.772035408020019,
"epoch": 0.028930743342976916,
"grad_norm": 1.25,
"learning_rate": 0.0002445,
"loss": 6.5192,
"mean_token_accuracy": 0.1116688534617424,
"num_tokens": 1041663.0,
"step": 490
},
{
"entropy": 6.908066129684448,
"epoch": 0.029225955009741986,
"grad_norm": 1.203125,
"learning_rate": 0.000247,
"loss": 6.5969,
"mean_token_accuracy": 0.10450899600982666,
"num_tokens": 1052286.0,
"step": 495
},
{
"entropy": 6.807862234115601,
"epoch": 0.029521166676507057,
"grad_norm": 1.3359375,
"learning_rate": 0.0002495,
"loss": 6.6629,
"mean_token_accuracy": 0.10684632584452629,
"num_tokens": 1061945.0,
"step": 500
}
],
"logging_steps": 5,
"max_steps": 4000,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"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": 1538340507648000.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}