5e-4-xlsr-wav2vec2 / trainer_state.json
soba1911's picture
Upload 7 files
1c8d5b1 verified
raw
history blame contribute delete
No virus
24.5 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.23143277929728592,
"eval_steps": 10,
"global_step": 550,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.004207868714496108,
"grad_norm": 10.497783660888672,
"learning_rate": 0.0004909090909090909,
"loss": 0.7938,
"step": 10
},
{
"epoch": 0.004207868714496108,
"eval_accuracy": 0.5304018259048462,
"eval_loss": 0.7331877946853638,
"eval_runtime": 568.2697,
"eval_samples_per_second": 8.364,
"eval_steps_per_second": 2.092,
"step": 10
},
{
"epoch": 0.008415737428992216,
"grad_norm": 2.557694435119629,
"learning_rate": 0.00048181818181818184,
"loss": 0.7504,
"step": 20
},
{
"epoch": 0.008415737428992216,
"eval_accuracy": 0.5634336471557617,
"eval_loss": 0.7359612584114075,
"eval_runtime": 559.3032,
"eval_samples_per_second": 8.498,
"eval_steps_per_second": 2.126,
"step": 20
},
{
"epoch": 0.012623606143488323,
"grad_norm": 3.9564919471740723,
"learning_rate": 0.0004727272727272727,
"loss": 0.7866,
"step": 30
},
{
"epoch": 0.012623606143488323,
"eval_accuracy": 0.4085840582847595,
"eval_loss": 0.7127184271812439,
"eval_runtime": 567.0848,
"eval_samples_per_second": 8.381,
"eval_steps_per_second": 2.097,
"step": 30
},
{
"epoch": 0.016831474857984433,
"grad_norm": 29.89333724975586,
"learning_rate": 0.00046363636363636366,
"loss": 0.678,
"step": 40
},
{
"epoch": 0.016831474857984433,
"eval_accuracy": 0.6875657439231873,
"eval_loss": 0.6557931303977966,
"eval_runtime": 563.9541,
"eval_samples_per_second": 8.428,
"eval_steps_per_second": 2.108,
"step": 40
},
{
"epoch": 0.021039343572480537,
"grad_norm": 1.9482946395874023,
"learning_rate": 0.00045454545454545455,
"loss": 0.8634,
"step": 50
},
{
"epoch": 0.021039343572480537,
"eval_accuracy": 0.6572691202163696,
"eval_loss": 0.613047182559967,
"eval_runtime": 565.9198,
"eval_samples_per_second": 8.399,
"eval_steps_per_second": 2.101,
"step": 50
},
{
"epoch": 0.025247212286976645,
"grad_norm": 1.0520250797271729,
"learning_rate": 0.00044545454545454543,
"loss": 0.5117,
"step": 60
},
{
"epoch": 0.025247212286976645,
"eval_accuracy": 0.7416368722915649,
"eval_loss": 0.5154983997344971,
"eval_runtime": 566.7191,
"eval_samples_per_second": 8.387,
"eval_steps_per_second": 2.098,
"step": 60
},
{
"epoch": 0.029455081001472753,
"grad_norm": 3.958573341369629,
"learning_rate": 0.00043636363636363637,
"loss": 0.6066,
"step": 70
},
{
"epoch": 0.029455081001472753,
"eval_accuracy": 0.7858194708824158,
"eval_loss": 0.5255141854286194,
"eval_runtime": 561.6163,
"eval_samples_per_second": 8.463,
"eval_steps_per_second": 2.117,
"step": 70
},
{
"epoch": 0.033662949715968865,
"grad_norm": 7.255526542663574,
"learning_rate": 0.00042727272727272726,
"loss": 0.5282,
"step": 80
},
{
"epoch": 0.033662949715968865,
"eval_accuracy": 0.8045445084571838,
"eval_loss": 0.6335883140563965,
"eval_runtime": 565.1826,
"eval_samples_per_second": 8.41,
"eval_steps_per_second": 2.104,
"step": 80
},
{
"epoch": 0.03787081843046497,
"grad_norm": 4.439815521240234,
"learning_rate": 0.00041818181818181814,
"loss": 0.3694,
"step": 90
},
{
"epoch": 0.03787081843046497,
"eval_accuracy": 0.8161161541938782,
"eval_loss": 0.464495450258255,
"eval_runtime": 562.0768,
"eval_samples_per_second": 8.456,
"eval_steps_per_second": 2.115,
"step": 90
},
{
"epoch": 0.042078687144961074,
"grad_norm": 1.75038743019104,
"learning_rate": 0.00040909090909090913,
"loss": 0.4786,
"step": 100
},
{
"epoch": 0.042078687144961074,
"eval_accuracy": 0.8079107999801636,
"eval_loss": 0.4171961545944214,
"eval_runtime": 555.7896,
"eval_samples_per_second": 8.552,
"eval_steps_per_second": 2.139,
"step": 100
},
{
"epoch": 0.046286555859457186,
"grad_norm": 2.398599624633789,
"learning_rate": 0.0004,
"loss": 0.3394,
"step": 110
},
{
"epoch": 0.046286555859457186,
"eval_accuracy": 0.8739743232727051,
"eval_loss": 0.353726327419281,
"eval_runtime": 558.2722,
"eval_samples_per_second": 8.514,
"eval_steps_per_second": 2.13,
"step": 110
},
{
"epoch": 0.05049442457395329,
"grad_norm": 2.4667985439300537,
"learning_rate": 0.00039090909090909096,
"loss": 0.4313,
"step": 120
},
{
"epoch": 0.05049442457395329,
"eval_accuracy": 0.8889122605323792,
"eval_loss": 0.2820029556751251,
"eval_runtime": 563.3341,
"eval_samples_per_second": 8.437,
"eval_steps_per_second": 2.111,
"step": 120
},
{
"epoch": 0.0547022932884494,
"grad_norm": 1.1293903589248657,
"learning_rate": 0.00038181818181818184,
"loss": 0.3352,
"step": 130
},
{
"epoch": 0.0547022932884494,
"eval_accuracy": 0.8889122605323792,
"eval_loss": 0.28811973333358765,
"eval_runtime": 563.2561,
"eval_samples_per_second": 8.438,
"eval_steps_per_second": 2.111,
"step": 130
},
{
"epoch": 0.05891016200294551,
"grad_norm": 17.52765655517578,
"learning_rate": 0.00037272727272727273,
"loss": 0.3772,
"step": 140
},
{
"epoch": 0.05891016200294551,
"eval_accuracy": 0.8116979002952576,
"eval_loss": 0.4701159596443176,
"eval_runtime": 565.5511,
"eval_samples_per_second": 8.404,
"eval_steps_per_second": 2.102,
"step": 140
},
{
"epoch": 0.06311803071744161,
"grad_norm": 2.1096954345703125,
"learning_rate": 0.00036363636363636367,
"loss": 0.3699,
"step": 150
},
{
"epoch": 0.06311803071744161,
"eval_accuracy": 0.8693456649780273,
"eval_loss": 0.32162848114967346,
"eval_runtime": 561.7642,
"eval_samples_per_second": 8.461,
"eval_steps_per_second": 2.117,
"step": 150
},
{
"epoch": 0.06732589943193773,
"grad_norm": 0.7017167210578918,
"learning_rate": 0.00035454545454545455,
"loss": 0.4895,
"step": 160
},
{
"epoch": 0.06732589943193773,
"eval_accuracy": 0.8817588686943054,
"eval_loss": 0.36469992995262146,
"eval_runtime": 563.6361,
"eval_samples_per_second": 8.433,
"eval_steps_per_second": 2.11,
"step": 160
},
{
"epoch": 0.07153376814643383,
"grad_norm": 0.48568668961524963,
"learning_rate": 0.00034545454545454544,
"loss": 0.46,
"step": 170
},
{
"epoch": 0.07153376814643383,
"eval_accuracy": 0.8449400663375854,
"eval_loss": 0.35531896352767944,
"eval_runtime": 566.3467,
"eval_samples_per_second": 8.392,
"eval_steps_per_second": 2.099,
"step": 170
},
{
"epoch": 0.07574163686092994,
"grad_norm": 0.6846579909324646,
"learning_rate": 0.0003363636363636364,
"loss": 0.3931,
"step": 180
},
{
"epoch": 0.07574163686092994,
"eval_accuracy": 0.8916473984718323,
"eval_loss": 0.2812640070915222,
"eval_runtime": 565.8446,
"eval_samples_per_second": 8.4,
"eval_steps_per_second": 2.101,
"step": 180
},
{
"epoch": 0.07994950557542604,
"grad_norm": 2.391395092010498,
"learning_rate": 0.00032727272727272726,
"loss": 0.3666,
"step": 190
},
{
"epoch": 0.07994950557542604,
"eval_accuracy": 0.8321060538291931,
"eval_loss": 0.4278256595134735,
"eval_runtime": 562.6059,
"eval_samples_per_second": 8.448,
"eval_steps_per_second": 2.113,
"step": 190
},
{
"epoch": 0.08415737428992215,
"grad_norm": 1.708675503730774,
"learning_rate": 0.0003181818181818182,
"loss": 0.3471,
"step": 200
},
{
"epoch": 0.08415737428992215,
"eval_accuracy": 0.9156322479248047,
"eval_loss": 0.23789770901203156,
"eval_runtime": 565.4642,
"eval_samples_per_second": 8.405,
"eval_steps_per_second": 2.103,
"step": 200
},
{
"epoch": 0.08836524300441827,
"grad_norm": 0.4107959270477295,
"learning_rate": 0.0003090909090909091,
"loss": 0.4351,
"step": 210
},
{
"epoch": 0.08836524300441827,
"eval_accuracy": 0.8889122605323792,
"eval_loss": 0.29446446895599365,
"eval_runtime": 562.2329,
"eval_samples_per_second": 8.454,
"eval_steps_per_second": 2.115,
"step": 210
},
{
"epoch": 0.09257311171891437,
"grad_norm": 10.296160697937012,
"learning_rate": 0.0003,
"loss": 0.262,
"step": 220
},
{
"epoch": 0.09257311171891437,
"eval_accuracy": 0.9017462730407715,
"eval_loss": 0.307280033826828,
"eval_runtime": 561.3167,
"eval_samples_per_second": 8.468,
"eval_steps_per_second": 2.118,
"step": 220
},
{
"epoch": 0.09678098043341048,
"grad_norm": 0.6356618404388428,
"learning_rate": 0.0002909090909090909,
"loss": 0.3291,
"step": 230
},
{
"epoch": 0.09678098043341048,
"eval_accuracy": 0.8752366900444031,
"eval_loss": 0.3042367994785309,
"eval_runtime": 567.4141,
"eval_samples_per_second": 8.377,
"eval_steps_per_second": 2.095,
"step": 230
},
{
"epoch": 0.10098884914790658,
"grad_norm": 1.1508342027664185,
"learning_rate": 0.0002818181818181818,
"loss": 0.239,
"step": 240
},
{
"epoch": 0.10098884914790658,
"eval_accuracy": 0.9150010347366333,
"eval_loss": 0.20924389362335205,
"eval_runtime": 564.144,
"eval_samples_per_second": 8.425,
"eval_steps_per_second": 2.108,
"step": 240
},
{
"epoch": 0.1051967178624027,
"grad_norm": 1.0988367795944214,
"learning_rate": 0.00027272727272727274,
"loss": 0.4306,
"step": 250
},
{
"epoch": 0.1051967178624027,
"eval_accuracy": 0.905954122543335,
"eval_loss": 0.24196282029151917,
"eval_runtime": 565.5038,
"eval_samples_per_second": 8.405,
"eval_steps_per_second": 2.103,
"step": 250
},
{
"epoch": 0.1094045865768988,
"grad_norm": 1.5871909856796265,
"learning_rate": 0.0002636363636363636,
"loss": 0.2757,
"step": 260
},
{
"epoch": 0.1094045865768988,
"eval_accuracy": 0.8415737152099609,
"eval_loss": 0.3900565505027771,
"eval_runtime": 566.4852,
"eval_samples_per_second": 8.39,
"eval_steps_per_second": 2.099,
"step": 260
},
{
"epoch": 0.11361245529139491,
"grad_norm": 0.33946001529693604,
"learning_rate": 0.0002545454545454545,
"loss": 0.1851,
"step": 270
},
{
"epoch": 0.11361245529139491,
"eval_accuracy": 0.9040606021881104,
"eval_loss": 0.2729853093624115,
"eval_runtime": 563.3502,
"eval_samples_per_second": 8.437,
"eval_steps_per_second": 2.111,
"step": 270
},
{
"epoch": 0.11782032400589101,
"grad_norm": 0.7806110978126526,
"learning_rate": 0.00024545454545454545,
"loss": 0.2655,
"step": 280
},
{
"epoch": 0.11782032400589101,
"eval_accuracy": 0.8645066022872925,
"eval_loss": 0.3478306829929352,
"eval_runtime": 565.4573,
"eval_samples_per_second": 8.406,
"eval_steps_per_second": 2.103,
"step": 280
},
{
"epoch": 0.12202819272038712,
"grad_norm": 1.8319846391677856,
"learning_rate": 0.00023636363636363636,
"loss": 0.2119,
"step": 290
},
{
"epoch": 0.12202819272038712,
"eval_accuracy": 0.9112139940261841,
"eval_loss": 0.23500923812389374,
"eval_runtime": 563.7148,
"eval_samples_per_second": 8.432,
"eval_steps_per_second": 2.109,
"step": 290
},
{
"epoch": 0.12623606143488322,
"grad_norm": 1.5416840314865112,
"learning_rate": 0.00022727272727272727,
"loss": 0.1477,
"step": 300
},
{
"epoch": 0.12623606143488322,
"eval_accuracy": 0.9219440221786499,
"eval_loss": 0.3015914261341095,
"eval_runtime": 561.7407,
"eval_samples_per_second": 8.461,
"eval_steps_per_second": 2.117,
"step": 300
},
{
"epoch": 0.13044393014937933,
"grad_norm": 3.576409101486206,
"learning_rate": 0.00021818181818181818,
"loss": 0.2137,
"step": 310
},
{
"epoch": 0.13044393014937933,
"eval_accuracy": 0.9282558560371399,
"eval_loss": 0.30129292607307434,
"eval_runtime": 563.5899,
"eval_samples_per_second": 8.433,
"eval_steps_per_second": 2.11,
"step": 310
},
{
"epoch": 0.13465179886387546,
"grad_norm": 9.926487922668457,
"learning_rate": 0.00020909090909090907,
"loss": 0.1136,
"step": 320
},
{
"epoch": 0.13465179886387546,
"eval_accuracy": 0.9307805299758911,
"eval_loss": 0.2483457773923874,
"eval_runtime": 564.5525,
"eval_samples_per_second": 8.419,
"eval_steps_per_second": 2.106,
"step": 320
},
{
"epoch": 0.13885966757837157,
"grad_norm": 1.2627246379852295,
"learning_rate": 0.0002,
"loss": 0.197,
"step": 330
},
{
"epoch": 0.13885966757837157,
"eval_accuracy": 0.913528323173523,
"eval_loss": 0.3319007456302643,
"eval_runtime": 557.94,
"eval_samples_per_second": 8.519,
"eval_steps_per_second": 2.131,
"step": 330
},
{
"epoch": 0.14306753629286767,
"grad_norm": 14.595890998840332,
"learning_rate": 0.00019090909090909092,
"loss": 0.1492,
"step": 340
},
{
"epoch": 0.14306753629286767,
"eval_accuracy": 0.8773406147956848,
"eval_loss": 0.4927380383014679,
"eval_runtime": 565.4025,
"eval_samples_per_second": 8.406,
"eval_steps_per_second": 2.103,
"step": 340
},
{
"epoch": 0.14727540500736377,
"grad_norm": 0.08015768229961395,
"learning_rate": 0.00018181818181818183,
"loss": 0.0394,
"step": 350
},
{
"epoch": 0.14727540500736377,
"eval_accuracy": 0.8889122605323792,
"eval_loss": 0.5241063833236694,
"eval_runtime": 567.4727,
"eval_samples_per_second": 8.376,
"eval_steps_per_second": 2.095,
"step": 350
},
{
"epoch": 0.15148327372185988,
"grad_norm": 1.9829438924789429,
"learning_rate": 0.00017272727272727272,
"loss": 0.284,
"step": 360
},
{
"epoch": 0.15148327372185988,
"eval_accuracy": 0.924679160118103,
"eval_loss": 0.3283034563064575,
"eval_runtime": 565.6368,
"eval_samples_per_second": 8.403,
"eval_steps_per_second": 2.102,
"step": 360
},
{
"epoch": 0.15569114243635598,
"grad_norm": 0.26033639907836914,
"learning_rate": 0.00016363636363636363,
"loss": 0.1096,
"step": 370
},
{
"epoch": 0.15569114243635598,
"eval_accuracy": 0.9179465770721436,
"eval_loss": 0.2719731330871582,
"eval_runtime": 568.9149,
"eval_samples_per_second": 8.355,
"eval_steps_per_second": 2.09,
"step": 370
},
{
"epoch": 0.1598990111508521,
"grad_norm": 0.4041542112827301,
"learning_rate": 0.00015454545454545454,
"loss": 0.3147,
"step": 380
},
{
"epoch": 0.1598990111508521,
"eval_accuracy": 0.9389858841896057,
"eval_loss": 0.20388783514499664,
"eval_runtime": 576.8924,
"eval_samples_per_second": 8.239,
"eval_steps_per_second": 2.061,
"step": 380
},
{
"epoch": 0.1641068798653482,
"grad_norm": 0.7307087182998657,
"learning_rate": 0.00014545454545454546,
"loss": 0.1,
"step": 390
},
{
"epoch": 0.1641068798653482,
"eval_accuracy": 0.9320428967475891,
"eval_loss": 0.2630753219127655,
"eval_runtime": 572.9749,
"eval_samples_per_second": 8.295,
"eval_steps_per_second": 2.075,
"step": 390
},
{
"epoch": 0.1683147485798443,
"grad_norm": 0.9732351303100586,
"learning_rate": 0.00013636363636363637,
"loss": 0.1954,
"step": 400
},
{
"epoch": 0.1683147485798443,
"eval_accuracy": 0.93309485912323,
"eval_loss": 0.265785813331604,
"eval_runtime": 571.5753,
"eval_samples_per_second": 8.316,
"eval_steps_per_second": 2.08,
"step": 400
},
{
"epoch": 0.17252261729434043,
"grad_norm": 3.890988826751709,
"learning_rate": 0.00012727272727272725,
"loss": 0.1332,
"step": 410
},
{
"epoch": 0.17252261729434043,
"eval_accuracy": 0.9469808340072632,
"eval_loss": 0.2041083574295044,
"eval_runtime": 572.7877,
"eval_samples_per_second": 8.298,
"eval_steps_per_second": 2.076,
"step": 410
},
{
"epoch": 0.17673048600883653,
"grad_norm": 0.22084006667137146,
"learning_rate": 0.00011818181818181818,
"loss": 0.116,
"step": 420
},
{
"epoch": 0.17673048600883653,
"eval_accuracy": 0.9162634015083313,
"eval_loss": 0.3249155879020691,
"eval_runtime": 572.8138,
"eval_samples_per_second": 8.298,
"eval_steps_per_second": 2.076,
"step": 420
},
{
"epoch": 0.18093835472333264,
"grad_norm": 0.09070427715778351,
"learning_rate": 0.00010909090909090909,
"loss": 0.3625,
"step": 430
},
{
"epoch": 0.18093835472333264,
"eval_accuracy": 0.9541342258453369,
"eval_loss": 0.16712911427021027,
"eval_runtime": 570.8705,
"eval_samples_per_second": 8.326,
"eval_steps_per_second": 2.083,
"step": 430
},
{
"epoch": 0.18514622343782874,
"grad_norm": 3.719890594482422,
"learning_rate": 0.0001,
"loss": 0.203,
"step": 440
},
{
"epoch": 0.18514622343782874,
"eval_accuracy": 0.9591836929321289,
"eval_loss": 0.11601703613996506,
"eval_runtime": 559.6205,
"eval_samples_per_second": 8.493,
"eval_steps_per_second": 2.125,
"step": 440
},
{
"epoch": 0.18935409215232485,
"grad_norm": 1.8163635730743408,
"learning_rate": 9.090909090909092e-05,
"loss": 0.1065,
"step": 450
},
{
"epoch": 0.18935409215232485,
"eval_accuracy": 0.9663370251655579,
"eval_loss": 0.11517694592475891,
"eval_runtime": 564.4747,
"eval_samples_per_second": 8.42,
"eval_steps_per_second": 2.106,
"step": 450
},
{
"epoch": 0.19356196086682095,
"grad_norm": 0.489663302898407,
"learning_rate": 8.181818181818182e-05,
"loss": 0.0797,
"step": 460
},
{
"epoch": 0.19356196086682095,
"eval_accuracy": 0.9524511098861694,
"eval_loss": 0.17924398183822632,
"eval_runtime": 566.5969,
"eval_samples_per_second": 8.389,
"eval_steps_per_second": 2.098,
"step": 460
},
{
"epoch": 0.19776982958131706,
"grad_norm": 0.12014146894216537,
"learning_rate": 7.272727272727273e-05,
"loss": 0.158,
"step": 470
},
{
"epoch": 0.19776982958131706,
"eval_accuracy": 0.9545550346374512,
"eval_loss": 0.17613738775253296,
"eval_runtime": 565.847,
"eval_samples_per_second": 8.4,
"eval_steps_per_second": 2.101,
"step": 470
},
{
"epoch": 0.20197769829581316,
"grad_norm": 0.30841195583343506,
"learning_rate": 6.363636363636363e-05,
"loss": 0.1226,
"step": 480
},
{
"epoch": 0.20197769829581316,
"eval_accuracy": 0.954344630241394,
"eval_loss": 0.1746922880411148,
"eval_runtime": 566.983,
"eval_samples_per_second": 8.383,
"eval_steps_per_second": 2.097,
"step": 480
},
{
"epoch": 0.20618556701030927,
"grad_norm": 0.17474113404750824,
"learning_rate": 5.4545454545454546e-05,
"loss": 0.0502,
"step": 490
},
{
"epoch": 0.20618556701030927,
"eval_accuracy": 0.9596044421195984,
"eval_loss": 0.16830527782440186,
"eval_runtime": 566.0043,
"eval_samples_per_second": 8.397,
"eval_steps_per_second": 2.101,
"step": 490
},
{
"epoch": 0.2103934357248054,
"grad_norm": 0.19428321719169617,
"learning_rate": 4.545454545454546e-05,
"loss": 0.0346,
"step": 500
},
{
"epoch": 0.2103934357248054,
"eval_accuracy": 0.9585524797439575,
"eval_loss": 0.17505739629268646,
"eval_runtime": 564.2226,
"eval_samples_per_second": 8.424,
"eval_steps_per_second": 2.107,
"step": 500
},
{
"epoch": 0.2146013044393015,
"grad_norm": 0.13528193533420563,
"learning_rate": 3.6363636363636364e-05,
"loss": 0.0168,
"step": 510
},
{
"epoch": 0.2146013044393015,
"eval_accuracy": 0.958131730556488,
"eval_loss": 0.18199646472930908,
"eval_runtime": 563.8378,
"eval_samples_per_second": 8.43,
"eval_steps_per_second": 2.109,
"step": 510
},
{
"epoch": 0.2188091731537976,
"grad_norm": 0.03537715971469879,
"learning_rate": 2.7272727272727273e-05,
"loss": 0.1428,
"step": 520
},
{
"epoch": 0.2188091731537976,
"eval_accuracy": 0.9562381505966187,
"eval_loss": 0.1906786561012268,
"eval_runtime": 567.1515,
"eval_samples_per_second": 8.38,
"eval_steps_per_second": 2.096,
"step": 520
},
{
"epoch": 0.22301704186829371,
"grad_norm": 0.5100229978561401,
"learning_rate": 1.8181818181818182e-05,
"loss": 0.0336,
"step": 530
},
{
"epoch": 0.22301704186829371,
"eval_accuracy": 0.9503471255302429,
"eval_loss": 0.2207876741886139,
"eval_runtime": 564.0513,
"eval_samples_per_second": 8.427,
"eval_steps_per_second": 2.108,
"step": 530
},
{
"epoch": 0.22722491058278982,
"grad_norm": 5.639271259307861,
"learning_rate": 9.090909090909091e-06,
"loss": 0.1161,
"step": 540
},
{
"epoch": 0.22722491058278982,
"eval_accuracy": 0.9488744139671326,
"eval_loss": 0.2279575914144516,
"eval_runtime": 564.6939,
"eval_samples_per_second": 8.417,
"eval_steps_per_second": 2.106,
"step": 540
},
{
"epoch": 0.23143277929728592,
"grad_norm": 0.09282880276441574,
"learning_rate": 0.0,
"loss": 0.0377,
"step": 550
},
{
"epoch": 0.23143277929728592,
"eval_accuracy": 0.9495055675506592,
"eval_loss": 0.22491338849067688,
"eval_runtime": 556.6035,
"eval_samples_per_second": 8.539,
"eval_steps_per_second": 2.136,
"step": 550
}
],
"logging_steps": 10,
"max_steps": 550,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 10,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 6.208452205931052e+17,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}