wcosmas's picture
End of training
98dc985 verified
raw
history blame
28.3 kB
{
"best_metric": 0.9411764705882353,
"best_model_checkpoint": "vit-base-patch16-224-in21k-finetuned-papsmear/checkpoint-765",
"epoch": 29.80392156862745,
"eval_steps": 500,
"global_step": 1140,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.26143790849673204,
"grad_norm": 1.524962306022644,
"learning_rate": 4.3859649122807014e-06,
"loss": 1.8303,
"step": 10
},
{
"epoch": 0.5228758169934641,
"grad_norm": 1.3496487140655518,
"learning_rate": 8.771929824561403e-06,
"loss": 1.7834,
"step": 20
},
{
"epoch": 0.7843137254901961,
"grad_norm": 1.857043981552124,
"learning_rate": 1.3157894736842106e-05,
"loss": 1.6954,
"step": 30
},
{
"epoch": 0.9934640522875817,
"eval_accuracy": 0.34558823529411764,
"eval_loss": 1.610603928565979,
"eval_runtime": 33.3958,
"eval_samples_per_second": 4.072,
"eval_steps_per_second": 0.509,
"step": 38
},
{
"epoch": 1.0457516339869282,
"grad_norm": 1.5567628145217896,
"learning_rate": 1.7543859649122806e-05,
"loss": 1.5872,
"step": 40
},
{
"epoch": 1.3071895424836601,
"grad_norm": 1.5087599754333496,
"learning_rate": 2.1929824561403507e-05,
"loss": 1.4855,
"step": 50
},
{
"epoch": 1.5686274509803921,
"grad_norm": 1.6773402690887451,
"learning_rate": 2.6315789473684212e-05,
"loss": 1.3823,
"step": 60
},
{
"epoch": 1.8300653594771243,
"grad_norm": 1.4024033546447754,
"learning_rate": 3.0701754385964913e-05,
"loss": 1.2818,
"step": 70
},
{
"epoch": 1.9869281045751634,
"eval_accuracy": 0.5735294117647058,
"eval_loss": 1.2412389516830444,
"eval_runtime": 32.7103,
"eval_samples_per_second": 4.158,
"eval_steps_per_second": 0.52,
"step": 76
},
{
"epoch": 2.0915032679738563,
"grad_norm": 1.6061407327651978,
"learning_rate": 3.508771929824561e-05,
"loss": 1.2088,
"step": 80
},
{
"epoch": 2.3529411764705883,
"grad_norm": 3.8964905738830566,
"learning_rate": 3.9473684210526316e-05,
"loss": 1.0983,
"step": 90
},
{
"epoch": 2.6143790849673203,
"grad_norm": 3.24979305267334,
"learning_rate": 4.3859649122807014e-05,
"loss": 1.0632,
"step": 100
},
{
"epoch": 2.8758169934640523,
"grad_norm": 2.1930079460144043,
"learning_rate": 4.824561403508772e-05,
"loss": 1.0023,
"step": 110
},
{
"epoch": 2.980392156862745,
"eval_accuracy": 0.7132352941176471,
"eval_loss": 0.9875355958938599,
"eval_runtime": 32.8626,
"eval_samples_per_second": 4.138,
"eval_steps_per_second": 0.517,
"step": 114
},
{
"epoch": 3.1372549019607843,
"grad_norm": 2.084902048110962,
"learning_rate": 4.970760233918128e-05,
"loss": 0.823,
"step": 120
},
{
"epoch": 3.3986928104575163,
"grad_norm": 1.8761796951293945,
"learning_rate": 4.9220272904483435e-05,
"loss": 0.785,
"step": 130
},
{
"epoch": 3.6601307189542482,
"grad_norm": 3.031520128250122,
"learning_rate": 4.8732943469785574e-05,
"loss": 0.7775,
"step": 140
},
{
"epoch": 3.9215686274509802,
"grad_norm": 2.1056406497955322,
"learning_rate": 4.824561403508772e-05,
"loss": 0.7163,
"step": 150
},
{
"epoch": 4.0,
"eval_accuracy": 0.6911764705882353,
"eval_loss": 0.8399065136909485,
"eval_runtime": 32.9831,
"eval_samples_per_second": 4.123,
"eval_steps_per_second": 0.515,
"step": 153
},
{
"epoch": 4.183006535947713,
"grad_norm": 3.3159000873565674,
"learning_rate": 4.7758284600389865e-05,
"loss": 0.6677,
"step": 160
},
{
"epoch": 4.444444444444445,
"grad_norm": 2.1595349311828613,
"learning_rate": 4.727095516569201e-05,
"loss": 0.6366,
"step": 170
},
{
"epoch": 4.705882352941177,
"grad_norm": 2.2182297706604004,
"learning_rate": 4.678362573099415e-05,
"loss": 0.5876,
"step": 180
},
{
"epoch": 4.967320261437909,
"grad_norm": 5.272632122039795,
"learning_rate": 4.62962962962963e-05,
"loss": 0.5173,
"step": 190
},
{
"epoch": 4.993464052287582,
"eval_accuracy": 0.8161764705882353,
"eval_loss": 0.6545882821083069,
"eval_runtime": 31.9706,
"eval_samples_per_second": 4.254,
"eval_steps_per_second": 0.532,
"step": 191
},
{
"epoch": 5.228758169934641,
"grad_norm": 5.355340003967285,
"learning_rate": 4.580896686159844e-05,
"loss": 0.5057,
"step": 200
},
{
"epoch": 5.490196078431373,
"grad_norm": 2.3517274856567383,
"learning_rate": 4.5321637426900585e-05,
"loss": 0.4577,
"step": 210
},
{
"epoch": 5.751633986928105,
"grad_norm": 7.760730266571045,
"learning_rate": 4.483430799220273e-05,
"loss": 0.5057,
"step": 220
},
{
"epoch": 5.9869281045751634,
"eval_accuracy": 0.8308823529411765,
"eval_loss": 0.6250559091567993,
"eval_runtime": 32.3916,
"eval_samples_per_second": 4.199,
"eval_steps_per_second": 0.525,
"step": 229
},
{
"epoch": 6.0130718954248366,
"grad_norm": 3.0986075401306152,
"learning_rate": 4.4346978557504876e-05,
"loss": 0.4856,
"step": 230
},
{
"epoch": 6.2745098039215685,
"grad_norm": 7.31836462020874,
"learning_rate": 4.3859649122807014e-05,
"loss": 0.5036,
"step": 240
},
{
"epoch": 6.5359477124183005,
"grad_norm": 2.5667953491210938,
"learning_rate": 4.3372319688109166e-05,
"loss": 0.4063,
"step": 250
},
{
"epoch": 6.7973856209150325,
"grad_norm": 2.488330602645874,
"learning_rate": 4.2884990253411305e-05,
"loss": 0.4313,
"step": 260
},
{
"epoch": 6.980392156862745,
"eval_accuracy": 0.8308823529411765,
"eval_loss": 0.5696418881416321,
"eval_runtime": 32.7903,
"eval_samples_per_second": 4.148,
"eval_steps_per_second": 0.518,
"step": 267
},
{
"epoch": 7.0588235294117645,
"grad_norm": 4.5028228759765625,
"learning_rate": 4.239766081871345e-05,
"loss": 0.3409,
"step": 270
},
{
"epoch": 7.3202614379084965,
"grad_norm": 3.8160030841827393,
"learning_rate": 4.1910331384015596e-05,
"loss": 0.4005,
"step": 280
},
{
"epoch": 7.5816993464052285,
"grad_norm": 7.039416790008545,
"learning_rate": 4.142300194931774e-05,
"loss": 0.4047,
"step": 290
},
{
"epoch": 7.8431372549019605,
"grad_norm": 2.3010506629943848,
"learning_rate": 4.093567251461988e-05,
"loss": 0.325,
"step": 300
},
{
"epoch": 8.0,
"eval_accuracy": 0.8308823529411765,
"eval_loss": 0.5506752133369446,
"eval_runtime": 33.2532,
"eval_samples_per_second": 4.09,
"eval_steps_per_second": 0.511,
"step": 306
},
{
"epoch": 8.104575163398692,
"grad_norm": 2.194329023361206,
"learning_rate": 4.044834307992203e-05,
"loss": 0.3016,
"step": 310
},
{
"epoch": 8.366013071895425,
"grad_norm": 4.172213554382324,
"learning_rate": 3.996101364522417e-05,
"loss": 0.3194,
"step": 320
},
{
"epoch": 8.627450980392156,
"grad_norm": 3.775691270828247,
"learning_rate": 3.9473684210526316e-05,
"loss": 0.3115,
"step": 330
},
{
"epoch": 8.88888888888889,
"grad_norm": 3.285763740539551,
"learning_rate": 3.898635477582846e-05,
"loss": 0.3811,
"step": 340
},
{
"epoch": 8.993464052287582,
"eval_accuracy": 0.8676470588235294,
"eval_loss": 0.4429008662700653,
"eval_runtime": 32.2721,
"eval_samples_per_second": 4.214,
"eval_steps_per_second": 0.527,
"step": 344
},
{
"epoch": 9.15032679738562,
"grad_norm": 2.8171193599700928,
"learning_rate": 3.849902534113061e-05,
"loss": 0.3617,
"step": 350
},
{
"epoch": 9.411764705882353,
"grad_norm": 2.766669273376465,
"learning_rate": 3.8011695906432746e-05,
"loss": 0.2679,
"step": 360
},
{
"epoch": 9.673202614379084,
"grad_norm": 5.8598833084106445,
"learning_rate": 3.75243664717349e-05,
"loss": 0.2909,
"step": 370
},
{
"epoch": 9.934640522875817,
"grad_norm": 4.5529608726501465,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.2341,
"step": 380
},
{
"epoch": 9.986928104575163,
"eval_accuracy": 0.875,
"eval_loss": 0.42220985889434814,
"eval_runtime": 32.0969,
"eval_samples_per_second": 4.237,
"eval_steps_per_second": 0.53,
"step": 382
},
{
"epoch": 10.196078431372548,
"grad_norm": 3.98348069190979,
"learning_rate": 3.654970760233918e-05,
"loss": 0.2612,
"step": 390
},
{
"epoch": 10.457516339869281,
"grad_norm": 5.887331485748291,
"learning_rate": 3.606237816764133e-05,
"loss": 0.2518,
"step": 400
},
{
"epoch": 10.718954248366012,
"grad_norm": 3.759489059448242,
"learning_rate": 3.557504873294347e-05,
"loss": 0.2361,
"step": 410
},
{
"epoch": 10.980392156862745,
"grad_norm": 6.444194793701172,
"learning_rate": 3.508771929824561e-05,
"loss": 0.3082,
"step": 420
},
{
"epoch": 10.980392156862745,
"eval_accuracy": 0.7720588235294118,
"eval_loss": 0.6572562456130981,
"eval_runtime": 32.1021,
"eval_samples_per_second": 4.236,
"eval_steps_per_second": 0.53,
"step": 420
},
{
"epoch": 11.241830065359476,
"grad_norm": 2.5144402980804443,
"learning_rate": 3.4600389863547764e-05,
"loss": 0.2284,
"step": 430
},
{
"epoch": 11.50326797385621,
"grad_norm": 5.127187728881836,
"learning_rate": 3.41130604288499e-05,
"loss": 0.2353,
"step": 440
},
{
"epoch": 11.764705882352942,
"grad_norm": 3.2781078815460205,
"learning_rate": 3.362573099415205e-05,
"loss": 0.2571,
"step": 450
},
{
"epoch": 12.0,
"eval_accuracy": 0.8897058823529411,
"eval_loss": 0.4229148328304291,
"eval_runtime": 31.8733,
"eval_samples_per_second": 4.267,
"eval_steps_per_second": 0.533,
"step": 459
},
{
"epoch": 12.026143790849673,
"grad_norm": 1.4445286989212036,
"learning_rate": 3.313840155945419e-05,
"loss": 0.2537,
"step": 460
},
{
"epoch": 12.287581699346406,
"grad_norm": 3.5303471088409424,
"learning_rate": 3.265107212475634e-05,
"loss": 0.23,
"step": 470
},
{
"epoch": 12.549019607843137,
"grad_norm": 4.927082538604736,
"learning_rate": 3.216374269005848e-05,
"loss": 0.1693,
"step": 480
},
{
"epoch": 12.81045751633987,
"grad_norm": 1.5047080516815186,
"learning_rate": 3.167641325536063e-05,
"loss": 0.2374,
"step": 490
},
{
"epoch": 12.993464052287582,
"eval_accuracy": 0.875,
"eval_loss": 0.42333418130874634,
"eval_runtime": 32.071,
"eval_samples_per_second": 4.241,
"eval_steps_per_second": 0.53,
"step": 497
},
{
"epoch": 13.071895424836601,
"grad_norm": 1.6010866165161133,
"learning_rate": 3.118908382066277e-05,
"loss": 0.2091,
"step": 500
},
{
"epoch": 13.333333333333334,
"grad_norm": 1.0056742429733276,
"learning_rate": 3.0701754385964913e-05,
"loss": 0.2203,
"step": 510
},
{
"epoch": 13.594771241830065,
"grad_norm": 0.8992928266525269,
"learning_rate": 3.0214424951267055e-05,
"loss": 0.1784,
"step": 520
},
{
"epoch": 13.856209150326798,
"grad_norm": 1.4664764404296875,
"learning_rate": 2.9727095516569204e-05,
"loss": 0.128,
"step": 530
},
{
"epoch": 13.986928104575163,
"eval_accuracy": 0.8970588235294118,
"eval_loss": 0.367097944021225,
"eval_runtime": 31.5031,
"eval_samples_per_second": 4.317,
"eval_steps_per_second": 0.54,
"step": 535
},
{
"epoch": 14.117647058823529,
"grad_norm": 2.8378169536590576,
"learning_rate": 2.9239766081871346e-05,
"loss": 0.1436,
"step": 540
},
{
"epoch": 14.379084967320262,
"grad_norm": 1.6675957441329956,
"learning_rate": 2.875243664717349e-05,
"loss": 0.1986,
"step": 550
},
{
"epoch": 14.640522875816993,
"grad_norm": 8.45456314086914,
"learning_rate": 2.8265107212475634e-05,
"loss": 0.1711,
"step": 560
},
{
"epoch": 14.901960784313726,
"grad_norm": 6.542934417724609,
"learning_rate": 2.777777777777778e-05,
"loss": 0.1718,
"step": 570
},
{
"epoch": 14.980392156862745,
"eval_accuracy": 0.8970588235294118,
"eval_loss": 0.34296926856040955,
"eval_runtime": 31.8312,
"eval_samples_per_second": 4.273,
"eval_steps_per_second": 0.534,
"step": 573
},
{
"epoch": 15.163398692810457,
"grad_norm": 4.025688171386719,
"learning_rate": 2.729044834307992e-05,
"loss": 0.1681,
"step": 580
},
{
"epoch": 15.42483660130719,
"grad_norm": 0.5761296153068542,
"learning_rate": 2.680311890838207e-05,
"loss": 0.1558,
"step": 590
},
{
"epoch": 15.686274509803921,
"grad_norm": 3.5217578411102295,
"learning_rate": 2.6315789473684212e-05,
"loss": 0.1413,
"step": 600
},
{
"epoch": 15.947712418300654,
"grad_norm": 5.222166538238525,
"learning_rate": 2.5828460038986357e-05,
"loss": 0.16,
"step": 610
},
{
"epoch": 16.0,
"eval_accuracy": 0.875,
"eval_loss": 0.41041284799575806,
"eval_runtime": 32.0124,
"eval_samples_per_second": 4.248,
"eval_steps_per_second": 0.531,
"step": 612
},
{
"epoch": 16.209150326797385,
"grad_norm": 4.111217021942139,
"learning_rate": 2.53411306042885e-05,
"loss": 0.136,
"step": 620
},
{
"epoch": 16.470588235294116,
"grad_norm": 4.035433769226074,
"learning_rate": 2.485380116959064e-05,
"loss": 0.1369,
"step": 630
},
{
"epoch": 16.73202614379085,
"grad_norm": 1.081305980682373,
"learning_rate": 2.4366471734892787e-05,
"loss": 0.1331,
"step": 640
},
{
"epoch": 16.99346405228758,
"grad_norm": 0.21553057432174683,
"learning_rate": 2.3879142300194932e-05,
"loss": 0.1096,
"step": 650
},
{
"epoch": 16.99346405228758,
"eval_accuracy": 0.9117647058823529,
"eval_loss": 0.2919999659061432,
"eval_runtime": 32.5572,
"eval_samples_per_second": 4.177,
"eval_steps_per_second": 0.522,
"step": 650
},
{
"epoch": 17.254901960784313,
"grad_norm": 5.312492847442627,
"learning_rate": 2.3391812865497074e-05,
"loss": 0.0943,
"step": 660
},
{
"epoch": 17.516339869281047,
"grad_norm": 0.38019096851348877,
"learning_rate": 2.290448343079922e-05,
"loss": 0.1058,
"step": 670
},
{
"epoch": 17.77777777777778,
"grad_norm": 9.7896089553833,
"learning_rate": 2.2417153996101365e-05,
"loss": 0.1408,
"step": 680
},
{
"epoch": 17.986928104575163,
"eval_accuracy": 0.9044117647058824,
"eval_loss": 0.26298093795776367,
"eval_runtime": 31.7137,
"eval_samples_per_second": 4.288,
"eval_steps_per_second": 0.536,
"step": 688
},
{
"epoch": 18.03921568627451,
"grad_norm": 1.3320598602294922,
"learning_rate": 2.1929824561403507e-05,
"loss": 0.1352,
"step": 690
},
{
"epoch": 18.30065359477124,
"grad_norm": 1.0650367736816406,
"learning_rate": 2.1442495126705653e-05,
"loss": 0.1149,
"step": 700
},
{
"epoch": 18.562091503267975,
"grad_norm": 0.5184645056724548,
"learning_rate": 2.0955165692007798e-05,
"loss": 0.1414,
"step": 710
},
{
"epoch": 18.823529411764707,
"grad_norm": 0.20009098947048187,
"learning_rate": 2.046783625730994e-05,
"loss": 0.113,
"step": 720
},
{
"epoch": 18.980392156862745,
"eval_accuracy": 0.8823529411764706,
"eval_loss": 0.30839478969573975,
"eval_runtime": 31.8589,
"eval_samples_per_second": 4.269,
"eval_steps_per_second": 0.534,
"step": 726
},
{
"epoch": 19.084967320261438,
"grad_norm": 0.23899152874946594,
"learning_rate": 1.9980506822612085e-05,
"loss": 0.082,
"step": 730
},
{
"epoch": 19.34640522875817,
"grad_norm": 2.6471519470214844,
"learning_rate": 1.949317738791423e-05,
"loss": 0.0818,
"step": 740
},
{
"epoch": 19.607843137254903,
"grad_norm": 3.0529627799987793,
"learning_rate": 1.9005847953216373e-05,
"loss": 0.1271,
"step": 750
},
{
"epoch": 19.869281045751634,
"grad_norm": 0.2476678043603897,
"learning_rate": 1.8518518518518518e-05,
"loss": 0.1272,
"step": 760
},
{
"epoch": 20.0,
"eval_accuracy": 0.9411764705882353,
"eval_loss": 0.2523283064365387,
"eval_runtime": 31.804,
"eval_samples_per_second": 4.276,
"eval_steps_per_second": 0.535,
"step": 765
},
{
"epoch": 20.130718954248366,
"grad_norm": 11.856123924255371,
"learning_rate": 1.8031189083820664e-05,
"loss": 0.1052,
"step": 770
},
{
"epoch": 20.392156862745097,
"grad_norm": 3.1671411991119385,
"learning_rate": 1.7543859649122806e-05,
"loss": 0.1264,
"step": 780
},
{
"epoch": 20.65359477124183,
"grad_norm": 0.7181591391563416,
"learning_rate": 1.705653021442495e-05,
"loss": 0.1141,
"step": 790
},
{
"epoch": 20.915032679738562,
"grad_norm": 3.510709762573242,
"learning_rate": 1.6569200779727097e-05,
"loss": 0.119,
"step": 800
},
{
"epoch": 20.99346405228758,
"eval_accuracy": 0.8823529411764706,
"eval_loss": 0.42536023259162903,
"eval_runtime": 32.0193,
"eval_samples_per_second": 4.247,
"eval_steps_per_second": 0.531,
"step": 803
},
{
"epoch": 21.176470588235293,
"grad_norm": 2.389382839202881,
"learning_rate": 1.608187134502924e-05,
"loss": 0.1316,
"step": 810
},
{
"epoch": 21.437908496732025,
"grad_norm": 6.068481922149658,
"learning_rate": 1.5594541910331384e-05,
"loss": 0.1126,
"step": 820
},
{
"epoch": 21.69934640522876,
"grad_norm": 0.7834749817848206,
"learning_rate": 1.5107212475633528e-05,
"loss": 0.0782,
"step": 830
},
{
"epoch": 21.96078431372549,
"grad_norm": 2.6613547801971436,
"learning_rate": 1.4619883040935673e-05,
"loss": 0.1068,
"step": 840
},
{
"epoch": 21.986928104575163,
"eval_accuracy": 0.8970588235294118,
"eval_loss": 0.35191574692726135,
"eval_runtime": 31.8243,
"eval_samples_per_second": 4.273,
"eval_steps_per_second": 0.534,
"step": 841
},
{
"epoch": 22.22222222222222,
"grad_norm": 2.7536206245422363,
"learning_rate": 1.4132553606237817e-05,
"loss": 0.1058,
"step": 850
},
{
"epoch": 22.483660130718953,
"grad_norm": 5.085578441619873,
"learning_rate": 1.364522417153996e-05,
"loss": 0.0847,
"step": 860
},
{
"epoch": 22.745098039215687,
"grad_norm": 1.596222996711731,
"learning_rate": 1.3157894736842106e-05,
"loss": 0.0723,
"step": 870
},
{
"epoch": 22.980392156862745,
"eval_accuracy": 0.9191176470588235,
"eval_loss": 0.32932135462760925,
"eval_runtime": 33.5379,
"eval_samples_per_second": 4.055,
"eval_steps_per_second": 0.507,
"step": 879
},
{
"epoch": 23.00653594771242,
"grad_norm": 1.2901531457901,
"learning_rate": 1.267056530214425e-05,
"loss": 0.0937,
"step": 880
},
{
"epoch": 23.26797385620915,
"grad_norm": 0.6107073426246643,
"learning_rate": 1.2183235867446393e-05,
"loss": 0.076,
"step": 890
},
{
"epoch": 23.529411764705884,
"grad_norm": 0.1317284107208252,
"learning_rate": 1.1695906432748537e-05,
"loss": 0.0742,
"step": 900
},
{
"epoch": 23.790849673202615,
"grad_norm": 1.982415795326233,
"learning_rate": 1.1208576998050683e-05,
"loss": 0.0769,
"step": 910
},
{
"epoch": 24.0,
"eval_accuracy": 0.9264705882352942,
"eval_loss": 0.2613476812839508,
"eval_runtime": 32.3164,
"eval_samples_per_second": 4.208,
"eval_steps_per_second": 0.526,
"step": 918
},
{
"epoch": 24.052287581699346,
"grad_norm": 0.13533662259578705,
"learning_rate": 1.0721247563352826e-05,
"loss": 0.0872,
"step": 920
},
{
"epoch": 24.313725490196077,
"grad_norm": 0.18768663704395294,
"learning_rate": 1.023391812865497e-05,
"loss": 0.0836,
"step": 930
},
{
"epoch": 24.575163398692812,
"grad_norm": 1.9041831493377686,
"learning_rate": 9.746588693957115e-06,
"loss": 0.0968,
"step": 940
},
{
"epoch": 24.836601307189543,
"grad_norm": 1.782492756843567,
"learning_rate": 9.259259259259259e-06,
"loss": 0.095,
"step": 950
},
{
"epoch": 24.99346405228758,
"eval_accuracy": 0.9411764705882353,
"eval_loss": 0.26091232895851135,
"eval_runtime": 32.1423,
"eval_samples_per_second": 4.231,
"eval_steps_per_second": 0.529,
"step": 956
},
{
"epoch": 25.098039215686274,
"grad_norm": 0.38502180576324463,
"learning_rate": 8.771929824561403e-06,
"loss": 0.0871,
"step": 960
},
{
"epoch": 25.359477124183005,
"grad_norm": 7.287825584411621,
"learning_rate": 8.284600389863548e-06,
"loss": 0.0662,
"step": 970
},
{
"epoch": 25.62091503267974,
"grad_norm": 3.129642963409424,
"learning_rate": 7.797270955165692e-06,
"loss": 0.0506,
"step": 980
},
{
"epoch": 25.88235294117647,
"grad_norm": 0.24554868042469025,
"learning_rate": 7.3099415204678366e-06,
"loss": 0.0863,
"step": 990
},
{
"epoch": 25.986928104575163,
"eval_accuracy": 0.9264705882352942,
"eval_loss": 0.264960914850235,
"eval_runtime": 32.1045,
"eval_samples_per_second": 4.236,
"eval_steps_per_second": 0.53,
"step": 994
},
{
"epoch": 26.143790849673202,
"grad_norm": 1.0143533945083618,
"learning_rate": 6.82261208576998e-06,
"loss": 0.0604,
"step": 1000
},
{
"epoch": 26.405228758169933,
"grad_norm": 0.31393057107925415,
"learning_rate": 6.335282651072125e-06,
"loss": 0.0589,
"step": 1010
},
{
"epoch": 26.666666666666668,
"grad_norm": 5.615325450897217,
"learning_rate": 5.8479532163742686e-06,
"loss": 0.0654,
"step": 1020
},
{
"epoch": 26.9281045751634,
"grad_norm": 0.4632560610771179,
"learning_rate": 5.360623781676413e-06,
"loss": 0.0795,
"step": 1030
},
{
"epoch": 26.980392156862745,
"eval_accuracy": 0.9117647058823529,
"eval_loss": 0.297785222530365,
"eval_runtime": 31.5613,
"eval_samples_per_second": 4.309,
"eval_steps_per_second": 0.539,
"step": 1032
},
{
"epoch": 27.18954248366013,
"grad_norm": 0.2585015594959259,
"learning_rate": 4.873294346978558e-06,
"loss": 0.0719,
"step": 1040
},
{
"epoch": 27.45098039215686,
"grad_norm": 0.364827960729599,
"learning_rate": 4.3859649122807014e-06,
"loss": 0.0837,
"step": 1050
},
{
"epoch": 27.712418300653596,
"grad_norm": 0.14460325241088867,
"learning_rate": 3.898635477582846e-06,
"loss": 0.0483,
"step": 1060
},
{
"epoch": 27.973856209150327,
"grad_norm": 0.43661826848983765,
"learning_rate": 3.41130604288499e-06,
"loss": 0.0564,
"step": 1070
},
{
"epoch": 28.0,
"eval_accuracy": 0.9191176470588235,
"eval_loss": 0.2736634314060211,
"eval_runtime": 31.9037,
"eval_samples_per_second": 4.263,
"eval_steps_per_second": 0.533,
"step": 1071
},
{
"epoch": 28.235294117647058,
"grad_norm": 0.2871550917625427,
"learning_rate": 2.9239766081871343e-06,
"loss": 0.0676,
"step": 1080
},
{
"epoch": 28.49673202614379,
"grad_norm": 0.19494622945785522,
"learning_rate": 2.436647173489279e-06,
"loss": 0.055,
"step": 1090
},
{
"epoch": 28.758169934640524,
"grad_norm": 0.46231183409690857,
"learning_rate": 1.949317738791423e-06,
"loss": 0.0562,
"step": 1100
},
{
"epoch": 28.99346405228758,
"eval_accuracy": 0.9191176470588235,
"eval_loss": 0.2940830886363983,
"eval_runtime": 32.3077,
"eval_samples_per_second": 4.21,
"eval_steps_per_second": 0.526,
"step": 1109
},
{
"epoch": 29.019607843137255,
"grad_norm": 0.13441592454910278,
"learning_rate": 1.4619883040935671e-06,
"loss": 0.049,
"step": 1110
},
{
"epoch": 29.281045751633986,
"grad_norm": 5.47345495223999,
"learning_rate": 9.746588693957115e-07,
"loss": 0.0712,
"step": 1120
},
{
"epoch": 29.54248366013072,
"grad_norm": 0.6587017178535461,
"learning_rate": 4.873294346978557e-07,
"loss": 0.0679,
"step": 1130
},
{
"epoch": 29.80392156862745,
"grad_norm": 0.12627951800823212,
"learning_rate": 0.0,
"loss": 0.0751,
"step": 1140
},
{
"epoch": 29.80392156862745,
"eval_accuracy": 0.9191176470588235,
"eval_loss": 0.3110995590686798,
"eval_runtime": 33.2625,
"eval_samples_per_second": 4.089,
"eval_steps_per_second": 0.511,
"step": 1140
},
{
"epoch": 29.80392156862745,
"step": 1140,
"total_flos": 2.827009127861453e+18,
"train_loss": 0.3311853929046999,
"train_runtime": 10131.822,
"train_samples_per_second": 3.624,
"train_steps_per_second": 0.113
}
],
"logging_steps": 10,
"max_steps": 1140,
"num_input_tokens_seen": 0,
"num_train_epochs": 30,
"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": 2.827009127861453e+18,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}