Files
jpn-jpan-100mb-after-ppt-Dp…/checkpoint-500/trainer_state.json
ModelHub XC 65064b0c3b 初始化项目,由ModelHub XC社区提供模型
Model: fpadovani/jpn-jpan-100mb-after-ppt-Dp-10mb-ckpt500_seed10
Source: Original Platform
2026-08-12 16:04:17 +08:00

1046 lines
28 KiB
JSON

{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.5847953216374269,
"eval_steps": 500,
"global_step": 500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"entropy": 7.593726110458374,
"epoch": 0.005847953216374269,
"grad_norm": 1.2734375,
"learning_rate": 2e-06,
"loss": 7.6031,
"mean_token_accuracy": 0.13570500910282135,
"num_tokens": 12656.0,
"step": 5
},
{
"entropy": 7.586997556686401,
"epoch": 0.011695906432748537,
"grad_norm": 1.1796875,
"learning_rate": 4.5e-06,
"loss": 7.6652,
"mean_token_accuracy": 0.12274946123361588,
"num_tokens": 25207.0,
"step": 10
},
{
"entropy": 7.649361896514892,
"epoch": 0.017543859649122806,
"grad_norm": 1.0703125,
"learning_rate": 7e-06,
"loss": 7.673,
"mean_token_accuracy": 0.12404287382960319,
"num_tokens": 38096.0,
"step": 15
},
{
"entropy": 7.637357187271118,
"epoch": 0.023391812865497075,
"grad_norm": 1.1015625,
"learning_rate": 9.5e-06,
"loss": 7.7506,
"mean_token_accuracy": 0.12453248649835587,
"num_tokens": 50626.0,
"step": 20
},
{
"entropy": 7.673450565338134,
"epoch": 0.029239766081871343,
"grad_norm": 1.0234375,
"learning_rate": 1.2e-05,
"loss": 7.6825,
"mean_token_accuracy": 0.12940182387828827,
"num_tokens": 63448.0,
"step": 25
},
{
"entropy": 7.774927949905395,
"epoch": 0.03508771929824561,
"grad_norm": 1.1015625,
"learning_rate": 1.4500000000000002e-05,
"loss": 7.731,
"mean_token_accuracy": 0.12124454602599144,
"num_tokens": 75656.0,
"step": 30
},
{
"entropy": 7.754840278625489,
"epoch": 0.04093567251461988,
"grad_norm": 1.0625,
"learning_rate": 1.7000000000000003e-05,
"loss": 7.7155,
"mean_token_accuracy": 0.12517715990543365,
"num_tokens": 88756.0,
"step": 35
},
{
"entropy": 7.778929853439331,
"epoch": 0.04678362573099415,
"grad_norm": 0.96484375,
"learning_rate": 1.95e-05,
"loss": 7.6499,
"mean_token_accuracy": 0.12550911605358123,
"num_tokens": 100934.0,
"step": 40
},
{
"entropy": 7.761408805847168,
"epoch": 0.05263157894736842,
"grad_norm": 1.1015625,
"learning_rate": 2.2e-05,
"loss": 7.6072,
"mean_token_accuracy": 0.12898701280355454,
"num_tokens": 112212.0,
"step": 45
},
{
"entropy": 7.740135717391968,
"epoch": 0.05847953216374269,
"grad_norm": 0.99609375,
"learning_rate": 2.4500000000000003e-05,
"loss": 7.6067,
"mean_token_accuracy": 0.12694446071982385,
"num_tokens": 126314.0,
"step": 50
},
{
"entropy": 7.718768978118897,
"epoch": 0.06432748538011696,
"grad_norm": 1.1015625,
"learning_rate": 2.7e-05,
"loss": 7.652,
"mean_token_accuracy": 0.13094937354326247,
"num_tokens": 138416.0,
"step": 55
},
{
"entropy": 7.7235801219940186,
"epoch": 0.07017543859649122,
"grad_norm": 1.0078125,
"learning_rate": 2.95e-05,
"loss": 7.6356,
"mean_token_accuracy": 0.12992877885699272,
"num_tokens": 149903.0,
"step": 60
},
{
"entropy": 7.728446578979492,
"epoch": 0.07602339181286549,
"grad_norm": 0.8515625,
"learning_rate": 3.2e-05,
"loss": 7.616,
"mean_token_accuracy": 0.13435307145118713,
"num_tokens": 163516.0,
"step": 65
},
{
"entropy": 7.745584630966187,
"epoch": 0.08187134502923976,
"grad_norm": 0.8984375,
"learning_rate": 3.4500000000000005e-05,
"loss": 7.6154,
"mean_token_accuracy": 0.12847506403923034,
"num_tokens": 176024.0,
"step": 70
},
{
"entropy": 7.79000825881958,
"epoch": 0.08771929824561403,
"grad_norm": 0.95703125,
"learning_rate": 3.7e-05,
"loss": 7.6904,
"mean_token_accuracy": 0.12912894561886787,
"num_tokens": 189337.0,
"step": 75
},
{
"entropy": 7.840251207351685,
"epoch": 0.0935672514619883,
"grad_norm": 1.0625,
"learning_rate": 3.95e-05,
"loss": 7.632,
"mean_token_accuracy": 0.1310859203338623,
"num_tokens": 201752.0,
"step": 80
},
{
"entropy": 7.792728662490845,
"epoch": 0.09941520467836257,
"grad_norm": 1.0546875,
"learning_rate": 4.2000000000000004e-05,
"loss": 7.7007,
"mean_token_accuracy": 0.1200527586042881,
"num_tokens": 214676.0,
"step": 85
},
{
"entropy": 7.769255495071411,
"epoch": 0.10526315789473684,
"grad_norm": 1.015625,
"learning_rate": 4.45e-05,
"loss": 7.6036,
"mean_token_accuracy": 0.1250310204923153,
"num_tokens": 225474.0,
"step": 90
},
{
"entropy": 7.832526683807373,
"epoch": 0.1111111111111111,
"grad_norm": 1.0859375,
"learning_rate": 4.7000000000000004e-05,
"loss": 7.6196,
"mean_token_accuracy": 0.13330849632620811,
"num_tokens": 237345.0,
"step": 95
},
{
"entropy": 7.786408853530884,
"epoch": 0.11695906432748537,
"grad_norm": 1.0078125,
"learning_rate": 4.9500000000000004e-05,
"loss": 7.5976,
"mean_token_accuracy": 0.13106755986809732,
"num_tokens": 249633.0,
"step": 100
},
{
"entropy": 7.785315036773682,
"epoch": 0.12280701754385964,
"grad_norm": 1.0546875,
"learning_rate": 5.2e-05,
"loss": 7.5707,
"mean_token_accuracy": 0.12854716926813126,
"num_tokens": 261840.0,
"step": 105
},
{
"entropy": 7.7381500720977785,
"epoch": 0.1286549707602339,
"grad_norm": 1.0234375,
"learning_rate": 5.45e-05,
"loss": 7.6581,
"mean_token_accuracy": 0.12695110440254212,
"num_tokens": 273838.0,
"step": 110
},
{
"entropy": 7.7819578647613525,
"epoch": 0.13450292397660818,
"grad_norm": 1.0,
"learning_rate": 5.7e-05,
"loss": 7.6314,
"mean_token_accuracy": 0.12518885657191275,
"num_tokens": 286001.0,
"step": 115
},
{
"entropy": 7.892224454879761,
"epoch": 0.14035087719298245,
"grad_norm": 1.1171875,
"learning_rate": 5.9499999999999996e-05,
"loss": 7.5622,
"mean_token_accuracy": 0.1403429314494133,
"num_tokens": 299052.0,
"step": 120
},
{
"entropy": 7.751383972167969,
"epoch": 0.14619883040935672,
"grad_norm": 1.1640625,
"learning_rate": 6.2e-05,
"loss": 7.6007,
"mean_token_accuracy": 0.12698042243719102,
"num_tokens": 311803.0,
"step": 125
},
{
"entropy": 7.862428855895996,
"epoch": 0.15204678362573099,
"grad_norm": 1.0703125,
"learning_rate": 6.450000000000001e-05,
"loss": 7.6155,
"mean_token_accuracy": 0.1285979501903057,
"num_tokens": 323712.0,
"step": 130
},
{
"entropy": 7.733092164993286,
"epoch": 0.15789473684210525,
"grad_norm": 1.03125,
"learning_rate": 6.7e-05,
"loss": 7.5735,
"mean_token_accuracy": 0.1340746872127056,
"num_tokens": 335171.0,
"step": 135
},
{
"entropy": 7.840703058242798,
"epoch": 0.16374269005847952,
"grad_norm": 1.1015625,
"learning_rate": 6.950000000000001e-05,
"loss": 7.6469,
"mean_token_accuracy": 0.12687307894229888,
"num_tokens": 347185.0,
"step": 140
},
{
"entropy": 7.806375932693482,
"epoch": 0.1695906432748538,
"grad_norm": 1.796875,
"learning_rate": 7.2e-05,
"loss": 7.5806,
"mean_token_accuracy": 0.12792280316352844,
"num_tokens": 359695.0,
"step": 145
},
{
"entropy": 7.806016826629639,
"epoch": 0.17543859649122806,
"grad_norm": 1.0625,
"learning_rate": 7.45e-05,
"loss": 7.6646,
"mean_token_accuracy": 0.13149451091885567,
"num_tokens": 373805.0,
"step": 150
},
{
"entropy": 7.811039972305298,
"epoch": 0.18128654970760233,
"grad_norm": 1.203125,
"learning_rate": 7.7e-05,
"loss": 7.615,
"mean_token_accuracy": 0.13272017240524292,
"num_tokens": 385772.0,
"step": 155
},
{
"entropy": 7.7556663990020756,
"epoch": 0.1871345029239766,
"grad_norm": 0.98828125,
"learning_rate": 7.950000000000001e-05,
"loss": 7.5329,
"mean_token_accuracy": 0.13663637787103652,
"num_tokens": 397641.0,
"step": 160
},
{
"entropy": 7.7673561573028564,
"epoch": 0.19298245614035087,
"grad_norm": 1.03125,
"learning_rate": 8.2e-05,
"loss": 7.5761,
"mean_token_accuracy": 0.13438102826476098,
"num_tokens": 410241.0,
"step": 165
},
{
"entropy": 7.851863145828247,
"epoch": 0.19883040935672514,
"grad_norm": 1.0,
"learning_rate": 8.450000000000001e-05,
"loss": 7.5371,
"mean_token_accuracy": 0.12968598157167435,
"num_tokens": 422079.0,
"step": 170
},
{
"entropy": 7.722187614440918,
"epoch": 0.2046783625730994,
"grad_norm": 1.046875,
"learning_rate": 8.7e-05,
"loss": 7.6151,
"mean_token_accuracy": 0.12510994151234628,
"num_tokens": 435187.0,
"step": 175
},
{
"entropy": 7.802532577514649,
"epoch": 0.21052631578947367,
"grad_norm": 1.0078125,
"learning_rate": 8.95e-05,
"loss": 7.59,
"mean_token_accuracy": 0.12483937367796898,
"num_tokens": 447329.0,
"step": 180
},
{
"entropy": 7.7081256866455075,
"epoch": 0.21637426900584794,
"grad_norm": 1.1015625,
"learning_rate": 9.2e-05,
"loss": 7.5244,
"mean_token_accuracy": 0.13455075845122338,
"num_tokens": 459316.0,
"step": 185
},
{
"entropy": 7.866452074050903,
"epoch": 0.2222222222222222,
"grad_norm": 1.2421875,
"learning_rate": 9.45e-05,
"loss": 7.602,
"mean_token_accuracy": 0.13409386128187178,
"num_tokens": 471184.0,
"step": 190
},
{
"entropy": 7.7785547256469725,
"epoch": 0.22807017543859648,
"grad_norm": 1.015625,
"learning_rate": 9.7e-05,
"loss": 7.5964,
"mean_token_accuracy": 0.13105484768748282,
"num_tokens": 483988.0,
"step": 195
},
{
"entropy": 7.754951095581054,
"epoch": 0.23391812865497075,
"grad_norm": 1.0390625,
"learning_rate": 9.95e-05,
"loss": 7.6021,
"mean_token_accuracy": 0.12733055427670478,
"num_tokens": 495995.0,
"step": 200
},
{
"entropy": 7.760473966598511,
"epoch": 0.23976608187134502,
"grad_norm": 1.015625,
"learning_rate": 0.000102,
"loss": 7.5481,
"mean_token_accuracy": 0.13547581657767296,
"num_tokens": 507382.0,
"step": 205
},
{
"entropy": 7.720216274261475,
"epoch": 0.24561403508771928,
"grad_norm": 1.1875,
"learning_rate": 0.00010449999999999999,
"loss": 7.5492,
"mean_token_accuracy": 0.1361517131328583,
"num_tokens": 518748.0,
"step": 210
},
{
"entropy": 7.7840687274932865,
"epoch": 0.25146198830409355,
"grad_norm": 1.0390625,
"learning_rate": 0.000107,
"loss": 7.5697,
"mean_token_accuracy": 0.12845324501395225,
"num_tokens": 531571.0,
"step": 215
},
{
"entropy": 7.810080337524414,
"epoch": 0.2573099415204678,
"grad_norm": 0.99609375,
"learning_rate": 0.0001095,
"loss": 7.5872,
"mean_token_accuracy": 0.1274337127804756,
"num_tokens": 544699.0,
"step": 220
},
{
"entropy": 7.742982816696167,
"epoch": 0.2631578947368421,
"grad_norm": 1.0703125,
"learning_rate": 0.000112,
"loss": 7.5439,
"mean_token_accuracy": 0.13237009420990944,
"num_tokens": 558110.0,
"step": 225
},
{
"entropy": 7.847256898880005,
"epoch": 0.26900584795321636,
"grad_norm": 1.0625,
"learning_rate": 0.0001145,
"loss": 7.6277,
"mean_token_accuracy": 0.12315782383084298,
"num_tokens": 571566.0,
"step": 230
},
{
"entropy": 7.752783679962159,
"epoch": 0.27485380116959063,
"grad_norm": 1.3125,
"learning_rate": 0.00011700000000000001,
"loss": 7.5427,
"mean_token_accuracy": 0.130996935069561,
"num_tokens": 583149.0,
"step": 235
},
{
"entropy": 7.764012479782105,
"epoch": 0.2807017543859649,
"grad_norm": 1.203125,
"learning_rate": 0.00011949999999999999,
"loss": 7.5734,
"mean_token_accuracy": 0.1311168886721134,
"num_tokens": 596360.0,
"step": 240
},
{
"entropy": 7.776003646850586,
"epoch": 0.28654970760233917,
"grad_norm": 1.0390625,
"learning_rate": 0.000122,
"loss": 7.57,
"mean_token_accuracy": 0.12710137963294982,
"num_tokens": 607719.0,
"step": 245
},
{
"entropy": 7.803481483459473,
"epoch": 0.29239766081871343,
"grad_norm": 1.1796875,
"learning_rate": 0.0001245,
"loss": 7.5331,
"mean_token_accuracy": 0.13498716056346893,
"num_tokens": 619002.0,
"step": 250
},
{
"entropy": 7.713655710220337,
"epoch": 0.2982456140350877,
"grad_norm": 1.1484375,
"learning_rate": 0.000127,
"loss": 7.5076,
"mean_token_accuracy": 0.13216801062226297,
"num_tokens": 631437.0,
"step": 255
},
{
"entropy": 7.640055465698242,
"epoch": 0.30409356725146197,
"grad_norm": 1.1875,
"learning_rate": 0.0001295,
"loss": 7.5087,
"mean_token_accuracy": 0.13282301425933837,
"num_tokens": 642611.0,
"step": 260
},
{
"entropy": 7.83185043334961,
"epoch": 0.30994152046783624,
"grad_norm": 1.015625,
"learning_rate": 0.000132,
"loss": 7.5447,
"mean_token_accuracy": 0.1268044739961624,
"num_tokens": 654874.0,
"step": 265
},
{
"entropy": 7.68661732673645,
"epoch": 0.3157894736842105,
"grad_norm": 1.109375,
"learning_rate": 0.00013450000000000002,
"loss": 7.629,
"mean_token_accuracy": 0.1293095037341118,
"num_tokens": 669141.0,
"step": 270
},
{
"entropy": 7.781434631347656,
"epoch": 0.3216374269005848,
"grad_norm": 1.28125,
"learning_rate": 0.00013700000000000002,
"loss": 7.5456,
"mean_token_accuracy": 0.13286237716674804,
"num_tokens": 681192.0,
"step": 275
},
{
"entropy": 7.814055967330932,
"epoch": 0.32748538011695905,
"grad_norm": 1.171875,
"learning_rate": 0.0001395,
"loss": 7.5423,
"mean_token_accuracy": 0.13368416726589202,
"num_tokens": 693191.0,
"step": 280
},
{
"entropy": 7.664337110519409,
"epoch": 0.3333333333333333,
"grad_norm": 1.2578125,
"learning_rate": 0.00014199999999999998,
"loss": 7.5257,
"mean_token_accuracy": 0.1304435022175312,
"num_tokens": 705131.0,
"step": 285
},
{
"entropy": 7.808525848388672,
"epoch": 0.3391812865497076,
"grad_norm": 1.1015625,
"learning_rate": 0.0001445,
"loss": 7.5226,
"mean_token_accuracy": 0.1330956645309925,
"num_tokens": 717873.0,
"step": 290
},
{
"entropy": 7.779027700424194,
"epoch": 0.34502923976608185,
"grad_norm": 1.1171875,
"learning_rate": 0.000147,
"loss": 7.5753,
"mean_token_accuracy": 0.12839027419686316,
"num_tokens": 730527.0,
"step": 295
},
{
"entropy": 7.754869270324707,
"epoch": 0.3508771929824561,
"grad_norm": 1.09375,
"learning_rate": 0.0001495,
"loss": 7.6158,
"mean_token_accuracy": 0.1226100891828537,
"num_tokens": 743263.0,
"step": 300
},
{
"entropy": 7.853420972824097,
"epoch": 0.3567251461988304,
"grad_norm": 1.1640625,
"learning_rate": 0.000152,
"loss": 7.6122,
"mean_token_accuracy": 0.12751553878188132,
"num_tokens": 755422.0,
"step": 305
},
{
"entropy": 7.644754314422608,
"epoch": 0.36257309941520466,
"grad_norm": 1.375,
"learning_rate": 0.00015450000000000001,
"loss": 7.4967,
"mean_token_accuracy": 0.13192886114120483,
"num_tokens": 767854.0,
"step": 310
},
{
"entropy": 7.757552576065064,
"epoch": 0.3684210526315789,
"grad_norm": 1.03125,
"learning_rate": 0.000157,
"loss": 7.4794,
"mean_token_accuracy": 0.13279144391417502,
"num_tokens": 779969.0,
"step": 315
},
{
"entropy": 7.734856033325196,
"epoch": 0.3742690058479532,
"grad_norm": 1.0078125,
"learning_rate": 0.0001595,
"loss": 7.5177,
"mean_token_accuracy": 0.12462197691202163,
"num_tokens": 792544.0,
"step": 320
},
{
"entropy": 7.747901725769043,
"epoch": 0.38011695906432746,
"grad_norm": 1.0703125,
"learning_rate": 0.000162,
"loss": 7.5284,
"mean_token_accuracy": 0.1278999462723732,
"num_tokens": 804603.0,
"step": 325
},
{
"entropy": 7.6661285877227785,
"epoch": 0.38596491228070173,
"grad_norm": 1.3203125,
"learning_rate": 0.00016450000000000001,
"loss": 7.4698,
"mean_token_accuracy": 0.1412305675446987,
"num_tokens": 816006.0,
"step": 330
},
{
"entropy": 7.718921327590943,
"epoch": 0.391812865497076,
"grad_norm": 1.078125,
"learning_rate": 0.00016700000000000002,
"loss": 7.4472,
"mean_token_accuracy": 0.13868665173649788,
"num_tokens": 828003.0,
"step": 335
},
{
"entropy": 7.650281476974487,
"epoch": 0.39766081871345027,
"grad_norm": 1.1875,
"learning_rate": 0.00016950000000000003,
"loss": 7.5019,
"mean_token_accuracy": 0.13453598469495773,
"num_tokens": 840649.0,
"step": 340
},
{
"entropy": 7.828660154342652,
"epoch": 0.40350877192982454,
"grad_norm": 1.234375,
"learning_rate": 0.00017199999999999998,
"loss": 7.5351,
"mean_token_accuracy": 0.12318970710039139,
"num_tokens": 853736.0,
"step": 345
},
{
"entropy": 7.61459264755249,
"epoch": 0.4093567251461988,
"grad_norm": 1.1953125,
"learning_rate": 0.00017449999999999999,
"loss": 7.5521,
"mean_token_accuracy": 0.1260755755007267,
"num_tokens": 866346.0,
"step": 350
},
{
"entropy": 7.783421611785888,
"epoch": 0.4152046783625731,
"grad_norm": 1.0546875,
"learning_rate": 0.000177,
"loss": 7.4784,
"mean_token_accuracy": 0.12796891778707503,
"num_tokens": 879163.0,
"step": 355
},
{
"entropy": 7.739914035797119,
"epoch": 0.42105263157894735,
"grad_norm": 1.1875,
"learning_rate": 0.0001795,
"loss": 7.5281,
"mean_token_accuracy": 0.1271045207977295,
"num_tokens": 891452.0,
"step": 360
},
{
"entropy": 7.692205429077148,
"epoch": 0.4269005847953216,
"grad_norm": 1.390625,
"learning_rate": 0.000182,
"loss": 7.5409,
"mean_token_accuracy": 0.13060612305998803,
"num_tokens": 903351.0,
"step": 365
},
{
"entropy": 7.750999116897583,
"epoch": 0.4327485380116959,
"grad_norm": 1.203125,
"learning_rate": 0.0001845,
"loss": 7.4841,
"mean_token_accuracy": 0.1305551879107952,
"num_tokens": 914818.0,
"step": 370
},
{
"entropy": 7.551722192764283,
"epoch": 0.43859649122807015,
"grad_norm": 1.1484375,
"learning_rate": 0.000187,
"loss": 7.3844,
"mean_token_accuracy": 0.14969016388058662,
"num_tokens": 927337.0,
"step": 375
},
{
"entropy": 7.822294139862061,
"epoch": 0.4444444444444444,
"grad_norm": 1.1640625,
"learning_rate": 0.0001895,
"loss": 7.5932,
"mean_token_accuracy": 0.1261659525334835,
"num_tokens": 940058.0,
"step": 380
},
{
"entropy": 7.664493227005005,
"epoch": 0.4502923976608187,
"grad_norm": 1.390625,
"learning_rate": 0.000192,
"loss": 7.3961,
"mean_token_accuracy": 0.13526701480150222,
"num_tokens": 952820.0,
"step": 385
},
{
"entropy": 7.564838886260986,
"epoch": 0.45614035087719296,
"grad_norm": 1.328125,
"learning_rate": 0.0001945,
"loss": 7.4493,
"mean_token_accuracy": 0.13812072202563286,
"num_tokens": 965132.0,
"step": 390
},
{
"entropy": 7.727004194259644,
"epoch": 0.4619883040935672,
"grad_norm": 1.0703125,
"learning_rate": 0.00019700000000000002,
"loss": 7.4848,
"mean_token_accuracy": 0.1320212572813034,
"num_tokens": 978695.0,
"step": 395
},
{
"entropy": 7.706100749969482,
"epoch": 0.4678362573099415,
"grad_norm": 1.3046875,
"learning_rate": 0.00019950000000000002,
"loss": 7.4478,
"mean_token_accuracy": 0.13389745727181435,
"num_tokens": 992427.0,
"step": 400
},
{
"entropy": 7.581472444534302,
"epoch": 0.47368421052631576,
"grad_norm": 1.2109375,
"learning_rate": 0.000202,
"loss": 7.4625,
"mean_token_accuracy": 0.13692987337708473,
"num_tokens": 1005090.0,
"step": 405
},
{
"entropy": 7.768648767471314,
"epoch": 0.47953216374269003,
"grad_norm": 1.21875,
"learning_rate": 0.00020449999999999998,
"loss": 7.4654,
"mean_token_accuracy": 0.13497180566191674,
"num_tokens": 1017219.0,
"step": 410
},
{
"entropy": 7.577150154113769,
"epoch": 0.4853801169590643,
"grad_norm": 1.109375,
"learning_rate": 0.000207,
"loss": 7.5118,
"mean_token_accuracy": 0.12923638001084328,
"num_tokens": 1029576.0,
"step": 415
},
{
"entropy": 7.703565454483032,
"epoch": 0.49122807017543857,
"grad_norm": 1.25,
"learning_rate": 0.0002095,
"loss": 7.5447,
"mean_token_accuracy": 0.12888929918408393,
"num_tokens": 1042259.0,
"step": 420
},
{
"entropy": 7.760423231124878,
"epoch": 0.49707602339181284,
"grad_norm": 1.2109375,
"learning_rate": 0.000212,
"loss": 7.4665,
"mean_token_accuracy": 0.12709181681275367,
"num_tokens": 1054965.0,
"step": 425
},
{
"entropy": 7.540304946899414,
"epoch": 0.5029239766081871,
"grad_norm": 1.171875,
"learning_rate": 0.0002145,
"loss": 7.4192,
"mean_token_accuracy": 0.13073362559080123,
"num_tokens": 1067346.0,
"step": 430
},
{
"entropy": 7.69997730255127,
"epoch": 0.5087719298245614,
"grad_norm": 1.1171875,
"learning_rate": 0.00021700000000000002,
"loss": 7.4084,
"mean_token_accuracy": 0.12967713326215743,
"num_tokens": 1080366.0,
"step": 435
},
{
"entropy": 7.659937810897827,
"epoch": 0.5146198830409356,
"grad_norm": 1.140625,
"learning_rate": 0.0002195,
"loss": 7.3841,
"mean_token_accuracy": 0.1347927011549473,
"num_tokens": 1091904.0,
"step": 440
},
{
"entropy": 7.573716306686402,
"epoch": 0.52046783625731,
"grad_norm": 1.2109375,
"learning_rate": 0.000222,
"loss": 7.3977,
"mean_token_accuracy": 0.13465345576405524,
"num_tokens": 1103363.0,
"step": 445
},
{
"entropy": 7.556374645233154,
"epoch": 0.5263157894736842,
"grad_norm": 1.1171875,
"learning_rate": 0.0002245,
"loss": 7.4271,
"mean_token_accuracy": 0.1363191269338131,
"num_tokens": 1115178.0,
"step": 450
},
{
"entropy": 7.6787323474884035,
"epoch": 0.5321637426900585,
"grad_norm": 1.3125,
"learning_rate": 0.00022700000000000002,
"loss": 7.364,
"mean_token_accuracy": 0.13259132504463195,
"num_tokens": 1128276.0,
"step": 455
},
{
"entropy": 7.688528728485108,
"epoch": 0.5380116959064327,
"grad_norm": 1.2421875,
"learning_rate": 0.00022950000000000002,
"loss": 7.4907,
"mean_token_accuracy": 0.13230301365256308,
"num_tokens": 1142100.0,
"step": 460
},
{
"entropy": 7.469075775146484,
"epoch": 0.543859649122807,
"grad_norm": 1.234375,
"learning_rate": 0.00023200000000000003,
"loss": 7.4026,
"mean_token_accuracy": 0.13583226278424262,
"num_tokens": 1154928.0,
"step": 465
},
{
"entropy": 7.702433824539185,
"epoch": 0.5497076023391813,
"grad_norm": 1.328125,
"learning_rate": 0.00023449999999999998,
"loss": 7.4994,
"mean_token_accuracy": 0.1225062869489193,
"num_tokens": 1166937.0,
"step": 470
},
{
"entropy": 7.537669372558594,
"epoch": 0.5555555555555556,
"grad_norm": 1.2578125,
"learning_rate": 0.000237,
"loss": 7.4175,
"mean_token_accuracy": 0.1342865504324436,
"num_tokens": 1180008.0,
"step": 475
},
{
"entropy": 7.674032211303711,
"epoch": 0.5614035087719298,
"grad_norm": 1.2578125,
"learning_rate": 0.0002395,
"loss": 7.4255,
"mean_token_accuracy": 0.12588841170072557,
"num_tokens": 1191926.0,
"step": 480
},
{
"entropy": 7.737406444549561,
"epoch": 0.5672514619883041,
"grad_norm": 1.0625,
"learning_rate": 0.000242,
"loss": 7.4953,
"mean_token_accuracy": 0.12321070730686187,
"num_tokens": 1204904.0,
"step": 485
},
{
"entropy": 7.525170803070068,
"epoch": 0.5730994152046783,
"grad_norm": 1.109375,
"learning_rate": 0.0002445,
"loss": 7.3645,
"mean_token_accuracy": 0.13284065276384355,
"num_tokens": 1217006.0,
"step": 490
},
{
"entropy": 7.552954483032226,
"epoch": 0.5789473684210527,
"grad_norm": 1.21875,
"learning_rate": 0.000247,
"loss": 7.3799,
"mean_token_accuracy": 0.13598829582333566,
"num_tokens": 1228460.0,
"step": 495
},
{
"entropy": 7.607265853881836,
"epoch": 0.5847953216374269,
"grad_norm": 1.1796875,
"learning_rate": 0.0002495,
"loss": 7.4021,
"mean_token_accuracy": 0.1343585431575775,
"num_tokens": 1240891.0,
"step": 500
},
{
"epoch": 0.5847953216374269,
"eval_entropy": 7.373745485041345,
"eval_loss": 7.422036647796631,
"eval_mean_token_accuracy": 0.12701122225660577,
"eval_num_tokens": 1240891.0,
"eval_runtime": 2.2961,
"eval_samples_per_second": 1178.964,
"eval_steps_per_second": 147.643,
"step": 500
}
],
"logging_steps": 5,
"max_steps": 8540,
"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": 1778933311488000.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}