sedrickkeh's picture
End of training
488e640 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.9956108266276518,
"eval_steps": 500,
"global_step": 1023,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.029261155815654718,
"grad_norm": 1.313577356108148,
"learning_rate": 5e-06,
"loss": 0.7981,
"step": 10
},
{
"epoch": 0.058522311631309436,
"grad_norm": 1.3269701626701922,
"learning_rate": 5e-06,
"loss": 0.74,
"step": 20
},
{
"epoch": 0.08778346744696415,
"grad_norm": 1.295468305567646,
"learning_rate": 5e-06,
"loss": 0.7078,
"step": 30
},
{
"epoch": 0.11704462326261887,
"grad_norm": 1.0952569971898316,
"learning_rate": 5e-06,
"loss": 0.6971,
"step": 40
},
{
"epoch": 0.14630577907827358,
"grad_norm": 1.1522366437551468,
"learning_rate": 5e-06,
"loss": 0.6876,
"step": 50
},
{
"epoch": 0.1755669348939283,
"grad_norm": 0.9337304723699321,
"learning_rate": 5e-06,
"loss": 0.6773,
"step": 60
},
{
"epoch": 0.20482809070958302,
"grad_norm": 0.663457890098491,
"learning_rate": 5e-06,
"loss": 0.6705,
"step": 70
},
{
"epoch": 0.23408924652523774,
"grad_norm": 0.45676131712073714,
"learning_rate": 5e-06,
"loss": 0.665,
"step": 80
},
{
"epoch": 0.26335040234089246,
"grad_norm": 0.4288236647896689,
"learning_rate": 5e-06,
"loss": 0.6621,
"step": 90
},
{
"epoch": 0.29261155815654716,
"grad_norm": 0.3968045535268243,
"learning_rate": 5e-06,
"loss": 0.6545,
"step": 100
},
{
"epoch": 0.3218727139722019,
"grad_norm": 0.4005298417378183,
"learning_rate": 5e-06,
"loss": 0.6632,
"step": 110
},
{
"epoch": 0.3511338697878566,
"grad_norm": 0.37524287200965606,
"learning_rate": 5e-06,
"loss": 0.6682,
"step": 120
},
{
"epoch": 0.38039502560351135,
"grad_norm": 0.3838388476815443,
"learning_rate": 5e-06,
"loss": 0.652,
"step": 130
},
{
"epoch": 0.40965618141916604,
"grad_norm": 0.36960334592767113,
"learning_rate": 5e-06,
"loss": 0.6527,
"step": 140
},
{
"epoch": 0.4389173372348208,
"grad_norm": 0.3476368986908311,
"learning_rate": 5e-06,
"loss": 0.6481,
"step": 150
},
{
"epoch": 0.4681784930504755,
"grad_norm": 0.3852462502438018,
"learning_rate": 5e-06,
"loss": 0.65,
"step": 160
},
{
"epoch": 0.49743964886613024,
"grad_norm": 0.3669278975935387,
"learning_rate": 5e-06,
"loss": 0.655,
"step": 170
},
{
"epoch": 0.5267008046817849,
"grad_norm": 0.3333018116429125,
"learning_rate": 5e-06,
"loss": 0.6547,
"step": 180
},
{
"epoch": 0.5559619604974396,
"grad_norm": 0.35791354795329805,
"learning_rate": 5e-06,
"loss": 0.6432,
"step": 190
},
{
"epoch": 0.5852231163130943,
"grad_norm": 0.34384449798393535,
"learning_rate": 5e-06,
"loss": 0.6444,
"step": 200
},
{
"epoch": 0.6144842721287491,
"grad_norm": 0.3389276664582108,
"learning_rate": 5e-06,
"loss": 0.651,
"step": 210
},
{
"epoch": 0.6437454279444038,
"grad_norm": 0.3537068086163664,
"learning_rate": 5e-06,
"loss": 0.639,
"step": 220
},
{
"epoch": 0.6730065837600585,
"grad_norm": 0.36001482083394,
"learning_rate": 5e-06,
"loss": 0.6389,
"step": 230
},
{
"epoch": 0.7022677395757132,
"grad_norm": 0.3260238185984492,
"learning_rate": 5e-06,
"loss": 0.6458,
"step": 240
},
{
"epoch": 0.731528895391368,
"grad_norm": 0.3385112431681223,
"learning_rate": 5e-06,
"loss": 0.6441,
"step": 250
},
{
"epoch": 0.7607900512070227,
"grad_norm": 0.33741935574023685,
"learning_rate": 5e-06,
"loss": 0.6467,
"step": 260
},
{
"epoch": 0.7900512070226774,
"grad_norm": 0.37090927004388813,
"learning_rate": 5e-06,
"loss": 0.649,
"step": 270
},
{
"epoch": 0.8193123628383321,
"grad_norm": 0.34506670056383226,
"learning_rate": 5e-06,
"loss": 0.6478,
"step": 280
},
{
"epoch": 0.8485735186539868,
"grad_norm": 0.33968288467400815,
"learning_rate": 5e-06,
"loss": 0.64,
"step": 290
},
{
"epoch": 0.8778346744696416,
"grad_norm": 0.3468850912982488,
"learning_rate": 5e-06,
"loss": 0.6319,
"step": 300
},
{
"epoch": 0.9070958302852963,
"grad_norm": 0.35133173438186993,
"learning_rate": 5e-06,
"loss": 0.645,
"step": 310
},
{
"epoch": 0.936356986100951,
"grad_norm": 0.3350013657985102,
"learning_rate": 5e-06,
"loss": 0.637,
"step": 320
},
{
"epoch": 0.9656181419166057,
"grad_norm": 0.3761018877235313,
"learning_rate": 5e-06,
"loss": 0.6402,
"step": 330
},
{
"epoch": 0.9948792977322605,
"grad_norm": 0.3507305461467966,
"learning_rate": 5e-06,
"loss": 0.6362,
"step": 340
},
{
"epoch": 0.9978054133138259,
"eval_loss": 0.640738844871521,
"eval_runtime": 341.9935,
"eval_samples_per_second": 26.927,
"eval_steps_per_second": 0.421,
"step": 341
},
{
"epoch": 1.025237746891002,
"grad_norm": 0.37016017200964146,
"learning_rate": 5e-06,
"loss": 0.6517,
"step": 350
},
{
"epoch": 1.054498902706657,
"grad_norm": 0.35451517967031254,
"learning_rate": 5e-06,
"loss": 0.606,
"step": 360
},
{
"epoch": 1.0837600585223117,
"grad_norm": 0.4093464489183681,
"learning_rate": 5e-06,
"loss": 0.6093,
"step": 370
},
{
"epoch": 1.1130212143379663,
"grad_norm": 0.3328609668211424,
"learning_rate": 5e-06,
"loss": 0.6067,
"step": 380
},
{
"epoch": 1.142282370153621,
"grad_norm": 0.3929172278235903,
"learning_rate": 5e-06,
"loss": 0.612,
"step": 390
},
{
"epoch": 1.1715435259692757,
"grad_norm": 0.36956263451829535,
"learning_rate": 5e-06,
"loss": 0.6135,
"step": 400
},
{
"epoch": 1.2008046817849305,
"grad_norm": 0.35625492540137693,
"learning_rate": 5e-06,
"loss": 0.6131,
"step": 410
},
{
"epoch": 1.2300658376005853,
"grad_norm": 0.3805534450160043,
"learning_rate": 5e-06,
"loss": 0.6013,
"step": 420
},
{
"epoch": 1.2593269934162399,
"grad_norm": 0.35722847933137475,
"learning_rate": 5e-06,
"loss": 0.6114,
"step": 430
},
{
"epoch": 1.2885881492318947,
"grad_norm": 0.34455850114898495,
"learning_rate": 5e-06,
"loss": 0.604,
"step": 440
},
{
"epoch": 1.3178493050475493,
"grad_norm": 0.36847098245047766,
"learning_rate": 5e-06,
"loss": 0.6078,
"step": 450
},
{
"epoch": 1.347110460863204,
"grad_norm": 0.373128115016406,
"learning_rate": 5e-06,
"loss": 0.6055,
"step": 460
},
{
"epoch": 1.3763716166788589,
"grad_norm": 0.32106596594422865,
"learning_rate": 5e-06,
"loss": 0.6028,
"step": 470
},
{
"epoch": 1.4056327724945135,
"grad_norm": 0.36636054815544133,
"learning_rate": 5e-06,
"loss": 0.6037,
"step": 480
},
{
"epoch": 1.4348939283101683,
"grad_norm": 0.3456331896000125,
"learning_rate": 5e-06,
"loss": 0.61,
"step": 490
},
{
"epoch": 1.464155084125823,
"grad_norm": 0.34045661745043854,
"learning_rate": 5e-06,
"loss": 0.5984,
"step": 500
},
{
"epoch": 1.4934162399414777,
"grad_norm": 0.3438707843118531,
"learning_rate": 5e-06,
"loss": 0.6063,
"step": 510
},
{
"epoch": 1.5226773957571325,
"grad_norm": 0.3807401104516723,
"learning_rate": 5e-06,
"loss": 0.6087,
"step": 520
},
{
"epoch": 1.5519385515727873,
"grad_norm": 0.3476316988283133,
"learning_rate": 5e-06,
"loss": 0.6073,
"step": 530
},
{
"epoch": 1.5811997073884418,
"grad_norm": 0.37180861974943186,
"learning_rate": 5e-06,
"loss": 0.6139,
"step": 540
},
{
"epoch": 1.6104608632040964,
"grad_norm": 0.3584155358816698,
"learning_rate": 5e-06,
"loss": 0.6049,
"step": 550
},
{
"epoch": 1.6397220190197512,
"grad_norm": 0.350475088364943,
"learning_rate": 5e-06,
"loss": 0.6066,
"step": 560
},
{
"epoch": 1.668983174835406,
"grad_norm": 0.3217698359289029,
"learning_rate": 5e-06,
"loss": 0.5972,
"step": 570
},
{
"epoch": 1.6982443306510606,
"grad_norm": 0.34896778513585464,
"learning_rate": 5e-06,
"loss": 0.6066,
"step": 580
},
{
"epoch": 1.7275054864667154,
"grad_norm": 0.4043798899680667,
"learning_rate": 5e-06,
"loss": 0.6068,
"step": 590
},
{
"epoch": 1.7567666422823702,
"grad_norm": 0.33940611207252186,
"learning_rate": 5e-06,
"loss": 0.6037,
"step": 600
},
{
"epoch": 1.7860277980980248,
"grad_norm": 0.3427753606881015,
"learning_rate": 5e-06,
"loss": 0.6061,
"step": 610
},
{
"epoch": 1.8152889539136796,
"grad_norm": 0.3213976735602389,
"learning_rate": 5e-06,
"loss": 0.6066,
"step": 620
},
{
"epoch": 1.8445501097293344,
"grad_norm": 0.3527145844560201,
"learning_rate": 5e-06,
"loss": 0.6056,
"step": 630
},
{
"epoch": 1.873811265544989,
"grad_norm": 0.32813676744746023,
"learning_rate": 5e-06,
"loss": 0.6005,
"step": 640
},
{
"epoch": 1.9030724213606436,
"grad_norm": 0.3638376151394638,
"learning_rate": 5e-06,
"loss": 0.6062,
"step": 650
},
{
"epoch": 1.9323335771762986,
"grad_norm": 0.34443917263076446,
"learning_rate": 5e-06,
"loss": 0.6067,
"step": 660
},
{
"epoch": 1.9615947329919532,
"grad_norm": 0.3322566789880142,
"learning_rate": 5e-06,
"loss": 0.5955,
"step": 670
},
{
"epoch": 1.9908558888076078,
"grad_norm": 0.35385249127498575,
"learning_rate": 5e-06,
"loss": 0.61,
"step": 680
},
{
"epoch": 1.9967081199707388,
"eval_loss": 0.633293867111206,
"eval_runtime": 344.1509,
"eval_samples_per_second": 26.759,
"eval_steps_per_second": 0.418,
"step": 682
},
{
"epoch": 2.0212143379663496,
"grad_norm": 0.39491322770292114,
"learning_rate": 5e-06,
"loss": 0.6203,
"step": 690
},
{
"epoch": 2.050475493782004,
"grad_norm": 0.4352323735803224,
"learning_rate": 5e-06,
"loss": 0.568,
"step": 700
},
{
"epoch": 2.0797366495976592,
"grad_norm": 0.35548597343547844,
"learning_rate": 5e-06,
"loss": 0.5701,
"step": 710
},
{
"epoch": 2.108997805413314,
"grad_norm": 0.36917361599584547,
"learning_rate": 5e-06,
"loss": 0.5711,
"step": 720
},
{
"epoch": 2.1382589612289684,
"grad_norm": 0.35132763692404273,
"learning_rate": 5e-06,
"loss": 0.573,
"step": 730
},
{
"epoch": 2.1675201170446234,
"grad_norm": 0.35336419936754826,
"learning_rate": 5e-06,
"loss": 0.5782,
"step": 740
},
{
"epoch": 2.196781272860278,
"grad_norm": 0.3142941595586366,
"learning_rate": 5e-06,
"loss": 0.5769,
"step": 750
},
{
"epoch": 2.2260424286759326,
"grad_norm": 0.36678679238628564,
"learning_rate": 5e-06,
"loss": 0.5744,
"step": 760
},
{
"epoch": 2.255303584491587,
"grad_norm": 0.3376459499493842,
"learning_rate": 5e-06,
"loss": 0.5732,
"step": 770
},
{
"epoch": 2.284564740307242,
"grad_norm": 0.3329859631258577,
"learning_rate": 5e-06,
"loss": 0.5722,
"step": 780
},
{
"epoch": 2.313825896122897,
"grad_norm": 0.3306554971721492,
"learning_rate": 5e-06,
"loss": 0.5705,
"step": 790
},
{
"epoch": 2.3430870519385514,
"grad_norm": 0.35902042471365553,
"learning_rate": 5e-06,
"loss": 0.5782,
"step": 800
},
{
"epoch": 2.3723482077542064,
"grad_norm": 0.3312419229224188,
"learning_rate": 5e-06,
"loss": 0.5735,
"step": 810
},
{
"epoch": 2.401609363569861,
"grad_norm": 0.3327307706986044,
"learning_rate": 5e-06,
"loss": 0.5798,
"step": 820
},
{
"epoch": 2.4308705193855156,
"grad_norm": 0.31672285917768106,
"learning_rate": 5e-06,
"loss": 0.5721,
"step": 830
},
{
"epoch": 2.4601316752011706,
"grad_norm": 0.3517058777467751,
"learning_rate": 5e-06,
"loss": 0.5725,
"step": 840
},
{
"epoch": 2.489392831016825,
"grad_norm": 0.349159379504596,
"learning_rate": 5e-06,
"loss": 0.5747,
"step": 850
},
{
"epoch": 2.5186539868324798,
"grad_norm": 0.35617064549859445,
"learning_rate": 5e-06,
"loss": 0.5677,
"step": 860
},
{
"epoch": 2.547915142648135,
"grad_norm": 0.39354050339723484,
"learning_rate": 5e-06,
"loss": 0.5702,
"step": 870
},
{
"epoch": 2.5771762984637894,
"grad_norm": 0.34753777557024923,
"learning_rate": 5e-06,
"loss": 0.5744,
"step": 880
},
{
"epoch": 2.606437454279444,
"grad_norm": 0.3680124888704586,
"learning_rate": 5e-06,
"loss": 0.5737,
"step": 890
},
{
"epoch": 2.6356986100950985,
"grad_norm": 0.3413167162283287,
"learning_rate": 5e-06,
"loss": 0.5783,
"step": 900
},
{
"epoch": 2.6649597659107536,
"grad_norm": 0.35574416904205275,
"learning_rate": 5e-06,
"loss": 0.5784,
"step": 910
},
{
"epoch": 2.694220921726408,
"grad_norm": 0.358995127200404,
"learning_rate": 5e-06,
"loss": 0.5728,
"step": 920
},
{
"epoch": 2.723482077542063,
"grad_norm": 0.35213516458107996,
"learning_rate": 5e-06,
"loss": 0.5764,
"step": 930
},
{
"epoch": 2.7527432333577178,
"grad_norm": 0.3453618453932275,
"learning_rate": 5e-06,
"loss": 0.5754,
"step": 940
},
{
"epoch": 2.7820043891733723,
"grad_norm": 0.33383973563266417,
"learning_rate": 5e-06,
"loss": 0.5741,
"step": 950
},
{
"epoch": 2.811265544989027,
"grad_norm": 0.3717714129794388,
"learning_rate": 5e-06,
"loss": 0.5779,
"step": 960
},
{
"epoch": 2.840526700804682,
"grad_norm": 0.3415472887200101,
"learning_rate": 5e-06,
"loss": 0.5736,
"step": 970
},
{
"epoch": 2.8697878566203365,
"grad_norm": 0.37787318934941566,
"learning_rate": 5e-06,
"loss": 0.5735,
"step": 980
},
{
"epoch": 2.899049012435991,
"grad_norm": 0.3302379886701318,
"learning_rate": 5e-06,
"loss": 0.5665,
"step": 990
},
{
"epoch": 2.928310168251646,
"grad_norm": 0.3247773766219703,
"learning_rate": 5e-06,
"loss": 0.5743,
"step": 1000
},
{
"epoch": 2.9575713240673007,
"grad_norm": 0.355132160394971,
"learning_rate": 5e-06,
"loss": 0.5661,
"step": 1010
},
{
"epoch": 2.9868324798829553,
"grad_norm": 0.33688535053100965,
"learning_rate": 5e-06,
"loss": 0.5777,
"step": 1020
},
{
"epoch": 2.9956108266276518,
"eval_loss": 0.6330391764640808,
"eval_runtime": 344.7903,
"eval_samples_per_second": 26.709,
"eval_steps_per_second": 0.418,
"step": 1023
},
{
"epoch": 2.9956108266276518,
"step": 1023,
"total_flos": 2144987064041472.0,
"train_loss": 0.6145497837840403,
"train_runtime": 54980.8916,
"train_samples_per_second": 9.546,
"train_steps_per_second": 0.019
}
],
"logging_steps": 10,
"max_steps": 1023,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 2144987064041472.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}