matthieulel's picture
End of training
d675389 verified
{
"best_metric": 0.8613303269447576,
"best_model_checkpoint": "vit-base-patch16-384-finetuned-galaxy10-decals/checkpoint-781",
"epoch": 29.76,
"eval_steps": 500,
"global_step": 930,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.32,
"learning_rate": 1.0752688172043012e-05,
"loss": 2.2974,
"step": 10
},
{
"epoch": 0.64,
"learning_rate": 2.1505376344086024e-05,
"loss": 2.0265,
"step": 20
},
{
"epoch": 0.96,
"learning_rate": 3.2258064516129034e-05,
"loss": 1.5894,
"step": 30
},
{
"epoch": 0.99,
"eval_accuracy": 0.5744081172491544,
"eval_f1": 0.5480702796340504,
"eval_loss": 1.2731903791427612,
"eval_precision": 0.5408951469363718,
"eval_recall": 0.5744081172491544,
"eval_runtime": 21.8126,
"eval_samples_per_second": 81.329,
"eval_steps_per_second": 0.642,
"step": 31
},
{
"epoch": 1.28,
"learning_rate": 4.301075268817205e-05,
"loss": 1.2296,
"step": 40
},
{
"epoch": 1.6,
"learning_rate": 5.3763440860215054e-05,
"loss": 0.9378,
"step": 50
},
{
"epoch": 1.92,
"learning_rate": 6.451612903225807e-05,
"loss": 0.8001,
"step": 60
},
{
"epoch": 1.98,
"eval_accuracy": 0.7976324689966178,
"eval_f1": 0.7879640575454192,
"eval_loss": 0.618441641330719,
"eval_precision": 0.7933566799249927,
"eval_recall": 0.7976324689966178,
"eval_runtime": 22.1643,
"eval_samples_per_second": 80.039,
"eval_steps_per_second": 0.632,
"step": 62
},
{
"epoch": 2.24,
"learning_rate": 7.526881720430108e-05,
"loss": 0.742,
"step": 70
},
{
"epoch": 2.56,
"learning_rate": 8.60215053763441e-05,
"loss": 0.6869,
"step": 80
},
{
"epoch": 2.88,
"learning_rate": 9.677419354838711e-05,
"loss": 0.6895,
"step": 90
},
{
"epoch": 2.98,
"eval_accuracy": 0.8066516347237881,
"eval_f1": 0.7955335694474486,
"eval_loss": 0.5823069214820862,
"eval_precision": 0.7990571311786572,
"eval_recall": 0.8066516347237881,
"eval_runtime": 22.3324,
"eval_samples_per_second": 79.436,
"eval_steps_per_second": 0.627,
"step": 93
},
{
"epoch": 3.2,
"learning_rate": 9.916367980884111e-05,
"loss": 0.6689,
"step": 100
},
{
"epoch": 3.52,
"learning_rate": 9.79689366786141e-05,
"loss": 0.6449,
"step": 110
},
{
"epoch": 3.84,
"learning_rate": 9.677419354838711e-05,
"loss": 0.6259,
"step": 120
},
{
"epoch": 4.0,
"eval_accuracy": 0.8432919954904171,
"eval_f1": 0.8367752646524916,
"eval_loss": 0.49104946851730347,
"eval_precision": 0.8426702265640142,
"eval_recall": 0.8432919954904171,
"eval_runtime": 22.0094,
"eval_samples_per_second": 80.602,
"eval_steps_per_second": 0.636,
"step": 125
},
{
"epoch": 4.16,
"learning_rate": 9.55794504181601e-05,
"loss": 0.5898,
"step": 130
},
{
"epoch": 4.48,
"learning_rate": 9.438470728793309e-05,
"loss": 0.5565,
"step": 140
},
{
"epoch": 4.8,
"learning_rate": 9.31899641577061e-05,
"loss": 0.556,
"step": 150
},
{
"epoch": 4.99,
"eval_accuracy": 0.846674182638106,
"eval_f1": 0.8464510661392919,
"eval_loss": 0.48742011189460754,
"eval_precision": 0.8465088132210393,
"eval_recall": 0.846674182638106,
"eval_runtime": 22.0562,
"eval_samples_per_second": 80.431,
"eval_steps_per_second": 0.635,
"step": 156
},
{
"epoch": 5.12,
"learning_rate": 9.199522102747909e-05,
"loss": 0.5251,
"step": 160
},
{
"epoch": 5.44,
"learning_rate": 9.080047789725208e-05,
"loss": 0.5217,
"step": 170
},
{
"epoch": 5.76,
"learning_rate": 8.960573476702509e-05,
"loss": 0.5116,
"step": 180
},
{
"epoch": 5.98,
"eval_accuracy": 0.85456595264938,
"eval_f1": 0.8517657628179492,
"eval_loss": 0.47338515520095825,
"eval_precision": 0.8568577324587641,
"eval_recall": 0.85456595264938,
"eval_runtime": 22.2468,
"eval_samples_per_second": 79.742,
"eval_steps_per_second": 0.629,
"step": 187
},
{
"epoch": 6.08,
"learning_rate": 8.84109916367981e-05,
"loss": 0.5088,
"step": 190
},
{
"epoch": 6.4,
"learning_rate": 8.72162485065711e-05,
"loss": 0.4811,
"step": 200
},
{
"epoch": 6.72,
"learning_rate": 8.60215053763441e-05,
"loss": 0.4877,
"step": 210
},
{
"epoch": 6.98,
"eval_accuracy": 0.8461104847801578,
"eval_f1": 0.8428422926421464,
"eval_loss": 0.4538511335849762,
"eval_precision": 0.8428871947589589,
"eval_recall": 0.8461104847801578,
"eval_runtime": 22.0712,
"eval_samples_per_second": 80.376,
"eval_steps_per_second": 0.634,
"step": 218
},
{
"epoch": 7.04,
"learning_rate": 8.482676224611709e-05,
"loss": 0.4978,
"step": 220
},
{
"epoch": 7.36,
"learning_rate": 8.363201911589009e-05,
"loss": 0.4539,
"step": 230
},
{
"epoch": 7.68,
"learning_rate": 8.243727598566309e-05,
"loss": 0.4677,
"step": 240
},
{
"epoch": 8.0,
"learning_rate": 8.124253285543608e-05,
"loss": 0.4383,
"step": 250
},
{
"epoch": 8.0,
"eval_accuracy": 0.8376550169109357,
"eval_f1": 0.8344803158108158,
"eval_loss": 0.4715927839279175,
"eval_precision": 0.8399037217806676,
"eval_recall": 0.8376550169109357,
"eval_runtime": 21.9794,
"eval_samples_per_second": 80.712,
"eval_steps_per_second": 0.637,
"step": 250
},
{
"epoch": 8.32,
"learning_rate": 8.004778972520908e-05,
"loss": 0.4267,
"step": 260
},
{
"epoch": 8.64,
"learning_rate": 7.885304659498209e-05,
"loss": 0.4439,
"step": 270
},
{
"epoch": 8.96,
"learning_rate": 7.765830346475508e-05,
"loss": 0.4267,
"step": 280
},
{
"epoch": 8.99,
"eval_accuracy": 0.8602029312288614,
"eval_f1": 0.8558609549343756,
"eval_loss": 0.43548089265823364,
"eval_precision": 0.8576044168006902,
"eval_recall": 0.8602029312288614,
"eval_runtime": 22.1787,
"eval_samples_per_second": 79.987,
"eval_steps_per_second": 0.631,
"step": 281
},
{
"epoch": 9.28,
"learning_rate": 7.646356033452809e-05,
"loss": 0.3988,
"step": 290
},
{
"epoch": 9.6,
"learning_rate": 7.526881720430108e-05,
"loss": 0.4008,
"step": 300
},
{
"epoch": 9.92,
"learning_rate": 7.407407407407407e-05,
"loss": 0.4022,
"step": 310
},
{
"epoch": 9.98,
"eval_accuracy": 0.8376550169109357,
"eval_f1": 0.8355648091511257,
"eval_loss": 0.47575539350509644,
"eval_precision": 0.8377044905358585,
"eval_recall": 0.8376550169109357,
"eval_runtime": 22.2342,
"eval_samples_per_second": 79.787,
"eval_steps_per_second": 0.63,
"step": 312
},
{
"epoch": 10.24,
"learning_rate": 7.287933094384708e-05,
"loss": 0.3884,
"step": 320
},
{
"epoch": 10.56,
"learning_rate": 7.168458781362007e-05,
"loss": 0.3949,
"step": 330
},
{
"epoch": 10.88,
"learning_rate": 7.048984468339306e-05,
"loss": 0.3811,
"step": 340
},
{
"epoch": 10.98,
"eval_accuracy": 0.8494926719278467,
"eval_f1": 0.8474377896340821,
"eval_loss": 0.4537804424762726,
"eval_precision": 0.8471164348108314,
"eval_recall": 0.8494926719278467,
"eval_runtime": 21.9928,
"eval_samples_per_second": 80.663,
"eval_steps_per_second": 0.637,
"step": 343
},
{
"epoch": 11.2,
"learning_rate": 6.929510155316607e-05,
"loss": 0.3545,
"step": 350
},
{
"epoch": 11.52,
"learning_rate": 6.810035842293908e-05,
"loss": 0.3437,
"step": 360
},
{
"epoch": 11.84,
"learning_rate": 6.690561529271207e-05,
"loss": 0.3612,
"step": 370
},
{
"epoch": 12.0,
"eval_accuracy": 0.8438556933483653,
"eval_f1": 0.83986286467956,
"eval_loss": 0.4807531237602234,
"eval_precision": 0.8412077042410786,
"eval_recall": 0.8438556933483653,
"eval_runtime": 21.9365,
"eval_samples_per_second": 80.87,
"eval_steps_per_second": 0.638,
"step": 375
},
{
"epoch": 12.16,
"learning_rate": 6.571087216248507e-05,
"loss": 0.3442,
"step": 380
},
{
"epoch": 12.48,
"learning_rate": 6.451612903225807e-05,
"loss": 0.3353,
"step": 390
},
{
"epoch": 12.8,
"learning_rate": 6.332138590203107e-05,
"loss": 0.363,
"step": 400
},
{
"epoch": 12.99,
"eval_accuracy": 0.846674182638106,
"eval_f1": 0.8458450902771538,
"eval_loss": 0.4751308262348175,
"eval_precision": 0.8502119134878978,
"eval_recall": 0.846674182638106,
"eval_runtime": 22.1071,
"eval_samples_per_second": 80.246,
"eval_steps_per_second": 0.633,
"step": 406
},
{
"epoch": 13.12,
"learning_rate": 6.212664277180407e-05,
"loss": 0.3409,
"step": 410
},
{
"epoch": 13.44,
"learning_rate": 6.093189964157706e-05,
"loss": 0.3311,
"step": 420
},
{
"epoch": 13.76,
"learning_rate": 5.9737156511350064e-05,
"loss": 0.3198,
"step": 430
},
{
"epoch": 13.98,
"eval_accuracy": 0.8489289740698985,
"eval_f1": 0.8450237290199628,
"eval_loss": 0.47995442152023315,
"eval_precision": 0.8497216931511434,
"eval_recall": 0.8489289740698985,
"eval_runtime": 22.3525,
"eval_samples_per_second": 79.365,
"eval_steps_per_second": 0.626,
"step": 437
},
{
"epoch": 14.08,
"learning_rate": 5.8542413381123063e-05,
"loss": 0.3169,
"step": 440
},
{
"epoch": 14.4,
"learning_rate": 5.7347670250896056e-05,
"loss": 0.3034,
"step": 450
},
{
"epoch": 14.72,
"learning_rate": 5.615292712066906e-05,
"loss": 0.3192,
"step": 460
},
{
"epoch": 14.98,
"eval_accuracy": 0.8573844419391207,
"eval_f1": 0.857032095022158,
"eval_loss": 0.48344284296035767,
"eval_precision": 0.8580034765886128,
"eval_recall": 0.8573844419391207,
"eval_runtime": 22.221,
"eval_samples_per_second": 79.834,
"eval_steps_per_second": 0.63,
"step": 468
},
{
"epoch": 15.04,
"learning_rate": 5.495818399044206e-05,
"loss": 0.2982,
"step": 470
},
{
"epoch": 15.36,
"learning_rate": 5.3763440860215054e-05,
"loss": 0.2866,
"step": 480
},
{
"epoch": 15.68,
"learning_rate": 5.256869772998806e-05,
"loss": 0.2877,
"step": 490
},
{
"epoch": 16.0,
"learning_rate": 5.137395459976105e-05,
"loss": 0.3041,
"step": 500
},
{
"epoch": 16.0,
"eval_accuracy": 0.8494926719278467,
"eval_f1": 0.8443027737508426,
"eval_loss": 0.4879484176635742,
"eval_precision": 0.8500026597900313,
"eval_recall": 0.8494926719278467,
"eval_runtime": 22.0401,
"eval_samples_per_second": 80.49,
"eval_steps_per_second": 0.635,
"step": 500
},
{
"epoch": 16.32,
"learning_rate": 5.017921146953405e-05,
"loss": 0.2706,
"step": 510
},
{
"epoch": 16.64,
"learning_rate": 4.898446833930705e-05,
"loss": 0.2924,
"step": 520
},
{
"epoch": 16.96,
"learning_rate": 4.778972520908005e-05,
"loss": 0.2607,
"step": 530
},
{
"epoch": 16.99,
"eval_accuracy": 0.8540022547914318,
"eval_f1": 0.8523463281841663,
"eval_loss": 0.49578550457954407,
"eval_precision": 0.8528831157271395,
"eval_recall": 0.8540022547914318,
"eval_runtime": 22.033,
"eval_samples_per_second": 80.515,
"eval_steps_per_second": 0.635,
"step": 531
},
{
"epoch": 17.28,
"learning_rate": 4.659498207885305e-05,
"loss": 0.2715,
"step": 540
},
{
"epoch": 17.6,
"learning_rate": 4.540023894862604e-05,
"loss": 0.2834,
"step": 550
},
{
"epoch": 17.92,
"learning_rate": 4.420549581839905e-05,
"loss": 0.2649,
"step": 560
},
{
"epoch": 17.98,
"eval_accuracy": 0.8579481397970687,
"eval_f1": 0.8562326829930054,
"eval_loss": 0.49265938997268677,
"eval_precision": 0.8570005813023908,
"eval_recall": 0.8579481397970687,
"eval_runtime": 22.3417,
"eval_samples_per_second": 79.403,
"eval_steps_per_second": 0.627,
"step": 562
},
{
"epoch": 18.24,
"learning_rate": 4.301075268817205e-05,
"loss": 0.2624,
"step": 570
},
{
"epoch": 18.56,
"learning_rate": 4.1816009557945046e-05,
"loss": 0.2423,
"step": 580
},
{
"epoch": 18.88,
"learning_rate": 4.062126642771804e-05,
"loss": 0.2553,
"step": 590
},
{
"epoch": 18.98,
"eval_accuracy": 0.8494926719278467,
"eval_f1": 0.8473638848040509,
"eval_loss": 0.5094860196113586,
"eval_precision": 0.847257566255885,
"eval_recall": 0.8494926719278467,
"eval_runtime": 21.8356,
"eval_samples_per_second": 81.244,
"eval_steps_per_second": 0.641,
"step": 593
},
{
"epoch": 19.2,
"learning_rate": 3.9426523297491045e-05,
"loss": 0.2515,
"step": 600
},
{
"epoch": 19.52,
"learning_rate": 3.8231780167264044e-05,
"loss": 0.2526,
"step": 610
},
{
"epoch": 19.84,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.2453,
"step": 620
},
{
"epoch": 20.0,
"eval_accuracy": 0.8494926719278467,
"eval_f1": 0.8467359900263874,
"eval_loss": 0.5161798000335693,
"eval_precision": 0.8467382302648213,
"eval_recall": 0.8494926719278467,
"eval_runtime": 22.0357,
"eval_samples_per_second": 80.506,
"eval_steps_per_second": 0.635,
"step": 625
},
{
"epoch": 20.16,
"learning_rate": 3.5842293906810036e-05,
"loss": 0.2427,
"step": 630
},
{
"epoch": 20.48,
"learning_rate": 3.4647550776583035e-05,
"loss": 0.2364,
"step": 640
},
{
"epoch": 20.8,
"learning_rate": 3.3452807646356034e-05,
"loss": 0.2417,
"step": 650
},
{
"epoch": 20.99,
"eval_accuracy": 0.8579481397970687,
"eval_f1": 0.8542523881152531,
"eval_loss": 0.5374500751495361,
"eval_precision": 0.8572760382500455,
"eval_recall": 0.8579481397970687,
"eval_runtime": 22.3872,
"eval_samples_per_second": 79.242,
"eval_steps_per_second": 0.625,
"step": 656
},
{
"epoch": 21.12,
"learning_rate": 3.2258064516129034e-05,
"loss": 0.229,
"step": 660
},
{
"epoch": 21.44,
"learning_rate": 3.106332138590203e-05,
"loss": 0.2359,
"step": 670
},
{
"epoch": 21.76,
"learning_rate": 2.9868578255675032e-05,
"loss": 0.241,
"step": 680
},
{
"epoch": 21.98,
"eval_accuracy": 0.8568207440811725,
"eval_f1": 0.8547169886868239,
"eval_loss": 0.512915313243866,
"eval_precision": 0.8545685444650545,
"eval_recall": 0.8568207440811725,
"eval_runtime": 22.1438,
"eval_samples_per_second": 80.113,
"eval_steps_per_second": 0.632,
"step": 687
},
{
"epoch": 22.08,
"learning_rate": 2.8673835125448028e-05,
"loss": 0.2366,
"step": 690
},
{
"epoch": 22.4,
"learning_rate": 2.747909199522103e-05,
"loss": 0.2258,
"step": 700
},
{
"epoch": 22.72,
"learning_rate": 2.628434886499403e-05,
"loss": 0.2257,
"step": 710
},
{
"epoch": 22.98,
"eval_accuracy": 0.8596392333709132,
"eval_f1": 0.8570784965746712,
"eval_loss": 0.5315744280815125,
"eval_precision": 0.8583802070333396,
"eval_recall": 0.8596392333709132,
"eval_runtime": 22.2978,
"eval_samples_per_second": 79.559,
"eval_steps_per_second": 0.628,
"step": 718
},
{
"epoch": 23.04,
"learning_rate": 2.5089605734767026e-05,
"loss": 0.2263,
"step": 720
},
{
"epoch": 23.36,
"learning_rate": 2.3894862604540025e-05,
"loss": 0.2182,
"step": 730
},
{
"epoch": 23.68,
"learning_rate": 2.270011947431302e-05,
"loss": 0.2297,
"step": 740
},
{
"epoch": 24.0,
"learning_rate": 2.1505376344086024e-05,
"loss": 0.2087,
"step": 750
},
{
"epoch": 24.0,
"eval_accuracy": 0.8511837655016911,
"eval_f1": 0.848921831106386,
"eval_loss": 0.5529980659484863,
"eval_precision": 0.849654051064782,
"eval_recall": 0.8511837655016911,
"eval_runtime": 22.0692,
"eval_samples_per_second": 80.383,
"eval_steps_per_second": 0.634,
"step": 750
},
{
"epoch": 24.32,
"learning_rate": 2.031063321385902e-05,
"loss": 0.2279,
"step": 760
},
{
"epoch": 24.64,
"learning_rate": 1.9115890083632022e-05,
"loss": 0.2103,
"step": 770
},
{
"epoch": 24.96,
"learning_rate": 1.7921146953405018e-05,
"loss": 0.2196,
"step": 780
},
{
"epoch": 24.99,
"eval_accuracy": 0.8613303269447576,
"eval_f1": 0.8596444828561277,
"eval_loss": 0.5422354936599731,
"eval_precision": 0.8600050951653831,
"eval_recall": 0.8613303269447576,
"eval_runtime": 22.3792,
"eval_samples_per_second": 79.27,
"eval_steps_per_second": 0.626,
"step": 781
},
{
"epoch": 25.28,
"learning_rate": 1.6726403823178017e-05,
"loss": 0.1947,
"step": 790
},
{
"epoch": 25.6,
"learning_rate": 1.5531660692951016e-05,
"loss": 0.2016,
"step": 800
},
{
"epoch": 25.92,
"learning_rate": 1.4336917562724014e-05,
"loss": 0.1975,
"step": 810
},
{
"epoch": 25.98,
"eval_accuracy": 0.8528748590755355,
"eval_f1": 0.850826122514615,
"eval_loss": 0.5671515464782715,
"eval_precision": 0.8533722924188255,
"eval_recall": 0.8528748590755355,
"eval_runtime": 22.1344,
"eval_samples_per_second": 80.147,
"eval_steps_per_second": 0.632,
"step": 812
},
{
"epoch": 26.24,
"learning_rate": 1.3142174432497015e-05,
"loss": 0.2206,
"step": 820
},
{
"epoch": 26.56,
"learning_rate": 1.1947431302270013e-05,
"loss": 0.2007,
"step": 830
},
{
"epoch": 26.88,
"learning_rate": 1.0752688172043012e-05,
"loss": 0.2135,
"step": 840
},
{
"epoch": 26.98,
"eval_accuracy": 0.8523111612175873,
"eval_f1": 0.8508686765834379,
"eval_loss": 0.5697333216667175,
"eval_precision": 0.8512784330826557,
"eval_recall": 0.8523111612175873,
"eval_runtime": 21.9964,
"eval_samples_per_second": 80.65,
"eval_steps_per_second": 0.636,
"step": 843
},
{
"epoch": 27.2,
"learning_rate": 9.557945041816011e-06,
"loss": 0.2134,
"step": 850
},
{
"epoch": 27.52,
"learning_rate": 8.363201911589009e-06,
"loss": 0.2157,
"step": 860
},
{
"epoch": 27.84,
"learning_rate": 7.168458781362007e-06,
"loss": 0.1946,
"step": 870
},
{
"epoch": 28.0,
"eval_accuracy": 0.8556933483652762,
"eval_f1": 0.8536344252156703,
"eval_loss": 0.5598114728927612,
"eval_precision": 0.854160182325068,
"eval_recall": 0.8556933483652762,
"eval_runtime": 22.2731,
"eval_samples_per_second": 79.648,
"eval_steps_per_second": 0.629,
"step": 875
},
{
"epoch": 28.16,
"learning_rate": 5.973715651135006e-06,
"loss": 0.2131,
"step": 880
},
{
"epoch": 28.48,
"learning_rate": 4.7789725209080055e-06,
"loss": 0.1988,
"step": 890
},
{
"epoch": 28.8,
"learning_rate": 3.5842293906810035e-06,
"loss": 0.2006,
"step": 900
},
{
"epoch": 28.99,
"eval_accuracy": 0.859075535512965,
"eval_f1": 0.8559520451985321,
"eval_loss": 0.5581933259963989,
"eval_precision": 0.8565751475892288,
"eval_recall": 0.859075535512965,
"eval_runtime": 22.1527,
"eval_samples_per_second": 80.081,
"eval_steps_per_second": 0.632,
"step": 906
},
{
"epoch": 29.12,
"learning_rate": 2.3894862604540028e-06,
"loss": 0.2068,
"step": 910
},
{
"epoch": 29.44,
"learning_rate": 1.1947431302270014e-06,
"loss": 0.188,
"step": 920
},
{
"epoch": 29.76,
"learning_rate": 0.0,
"loss": 0.1968,
"step": 930
},
{
"epoch": 29.76,
"eval_accuracy": 0.859075535512965,
"eval_f1": 0.8563712215450049,
"eval_loss": 0.5570882558822632,
"eval_precision": 0.8570535356400701,
"eval_recall": 0.859075535512965,
"eval_runtime": 22.3987,
"eval_samples_per_second": 79.201,
"eval_steps_per_second": 0.625,
"step": 930
},
{
"epoch": 29.76,
"step": 930,
"total_flos": 1.0856143898633267e+20,
"train_loss": 0.41153401379944177,
"train_runtime": 9651.1603,
"train_samples_per_second": 49.617,
"train_steps_per_second": 0.096
}
],
"logging_steps": 10,
"max_steps": 930,
"num_input_tokens_seen": 0,
"num_train_epochs": 30,
"save_steps": 500,
"total_flos": 1.0856143898633267e+20,
"train_batch_size": 128,
"trial_name": null,
"trial_params": null
}