matthieulel's picture
End of training
2b2e4a5 verified
{
"best_metric": 0.855129650507328,
"best_model_checkpoint": "vit-large-patch16-224-finetuned-galaxy10-decals/checkpoint-906",
"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": 2.2239,
"step": 10
},
{
"epoch": 0.64,
"learning_rate": 2.1505376344086024e-05,
"loss": 1.609,
"step": 20
},
{
"epoch": 0.96,
"learning_rate": 3.2258064516129034e-05,
"loss": 1.0358,
"step": 30
},
{
"epoch": 0.99,
"eval_accuracy": 0.7361894024802705,
"eval_f1": 0.7266397888949025,
"eval_loss": 0.7598127126693726,
"eval_precision": 0.7424926838922145,
"eval_recall": 0.7361894024802705,
"eval_runtime": 17.3826,
"eval_samples_per_second": 102.056,
"eval_steps_per_second": 0.805,
"step": 31
},
{
"epoch": 1.28,
"learning_rate": 4.301075268817205e-05,
"loss": 0.8138,
"step": 40
},
{
"epoch": 1.6,
"learning_rate": 5.3763440860215054e-05,
"loss": 0.7072,
"step": 50
},
{
"epoch": 1.92,
"learning_rate": 6.451612903225807e-05,
"loss": 0.6822,
"step": 60
},
{
"epoch": 1.98,
"eval_accuracy": 0.7919954904171365,
"eval_f1": 0.7898931758849426,
"eval_loss": 0.6136134266853333,
"eval_precision": 0.7971665728434488,
"eval_recall": 0.7919954904171365,
"eval_runtime": 17.1163,
"eval_samples_per_second": 103.644,
"eval_steps_per_second": 0.818,
"step": 62
},
{
"epoch": 2.24,
"learning_rate": 7.526881720430108e-05,
"loss": 0.6682,
"step": 70
},
{
"epoch": 2.56,
"learning_rate": 8.60215053763441e-05,
"loss": 0.6424,
"step": 80
},
{
"epoch": 2.88,
"learning_rate": 9.677419354838711e-05,
"loss": 0.6535,
"step": 90
},
{
"epoch": 2.98,
"eval_accuracy": 0.8105975197294251,
"eval_f1": 0.8061910960708782,
"eval_loss": 0.5416004061698914,
"eval_precision": 0.8140360122948396,
"eval_recall": 0.8105975197294251,
"eval_runtime": 17.566,
"eval_samples_per_second": 100.99,
"eval_steps_per_second": 0.797,
"step": 93
},
{
"epoch": 3.2,
"learning_rate": 9.916367980884111e-05,
"loss": 0.6169,
"step": 100
},
{
"epoch": 3.52,
"learning_rate": 9.79689366786141e-05,
"loss": 0.6022,
"step": 110
},
{
"epoch": 3.84,
"learning_rate": 9.677419354838711e-05,
"loss": 0.5696,
"step": 120
},
{
"epoch": 4.0,
"eval_accuracy": 0.8162344983089064,
"eval_f1": 0.8139861710754493,
"eval_loss": 0.5304952263832092,
"eval_precision": 0.8195322178917354,
"eval_recall": 0.8162344983089064,
"eval_runtime": 17.3334,
"eval_samples_per_second": 102.346,
"eval_steps_per_second": 0.808,
"step": 125
},
{
"epoch": 4.16,
"learning_rate": 9.55794504181601e-05,
"loss": 0.5455,
"step": 130
},
{
"epoch": 4.48,
"learning_rate": 9.438470728793309e-05,
"loss": 0.5421,
"step": 140
},
{
"epoch": 4.8,
"learning_rate": 9.31899641577061e-05,
"loss": 0.5435,
"step": 150
},
{
"epoch": 4.99,
"eval_accuracy": 0.814543404735062,
"eval_f1": 0.8161156144737257,
"eval_loss": 0.5555492043495178,
"eval_precision": 0.8241810477987659,
"eval_recall": 0.814543404735062,
"eval_runtime": 17.1642,
"eval_samples_per_second": 103.354,
"eval_steps_per_second": 0.816,
"step": 156
},
{
"epoch": 5.12,
"learning_rate": 9.199522102747909e-05,
"loss": 0.5186,
"step": 160
},
{
"epoch": 5.44,
"learning_rate": 9.080047789725208e-05,
"loss": 0.5074,
"step": 170
},
{
"epoch": 5.76,
"learning_rate": 8.960573476702509e-05,
"loss": 0.4621,
"step": 180
},
{
"epoch": 5.98,
"eval_accuracy": 0.8297632468996617,
"eval_f1": 0.8254361806374156,
"eval_loss": 0.5074881315231323,
"eval_precision": 0.8343689618318259,
"eval_recall": 0.8297632468996617,
"eval_runtime": 17.1936,
"eval_samples_per_second": 103.178,
"eval_steps_per_second": 0.814,
"step": 187
},
{
"epoch": 6.08,
"learning_rate": 8.84109916367981e-05,
"loss": 0.4713,
"step": 190
},
{
"epoch": 6.4,
"learning_rate": 8.72162485065711e-05,
"loss": 0.4516,
"step": 200
},
{
"epoch": 6.72,
"learning_rate": 8.60215053763441e-05,
"loss": 0.4479,
"step": 210
},
{
"epoch": 6.98,
"eval_accuracy": 0.8280721533258174,
"eval_f1": 0.8268976469809478,
"eval_loss": 0.5117892622947693,
"eval_precision": 0.8290711099056762,
"eval_recall": 0.8280721533258174,
"eval_runtime": 17.1887,
"eval_samples_per_second": 103.207,
"eval_steps_per_second": 0.814,
"step": 218
},
{
"epoch": 7.04,
"learning_rate": 8.482676224611709e-05,
"loss": 0.4864,
"step": 220
},
{
"epoch": 7.36,
"learning_rate": 8.363201911589009e-05,
"loss": 0.4469,
"step": 230
},
{
"epoch": 7.68,
"learning_rate": 8.243727598566309e-05,
"loss": 0.4427,
"step": 240
},
{
"epoch": 8.0,
"learning_rate": 8.124253285543608e-05,
"loss": 0.4318,
"step": 250
},
{
"epoch": 8.0,
"eval_accuracy": 0.8196166854565953,
"eval_f1": 0.8165810295817906,
"eval_loss": 0.5163812041282654,
"eval_precision": 0.8254762320844335,
"eval_recall": 0.8196166854565953,
"eval_runtime": 17.2603,
"eval_samples_per_second": 102.779,
"eval_steps_per_second": 0.811,
"step": 250
},
{
"epoch": 8.32,
"learning_rate": 8.004778972520908e-05,
"loss": 0.3936,
"step": 260
},
{
"epoch": 8.64,
"learning_rate": 7.885304659498209e-05,
"loss": 0.4184,
"step": 270
},
{
"epoch": 8.96,
"learning_rate": 7.765830346475508e-05,
"loss": 0.4011,
"step": 280
},
{
"epoch": 8.99,
"eval_accuracy": 0.8410372040586246,
"eval_f1": 0.8361869699508147,
"eval_loss": 0.5086681246757507,
"eval_precision": 0.8369303660828149,
"eval_recall": 0.8410372040586246,
"eval_runtime": 17.2372,
"eval_samples_per_second": 102.917,
"eval_steps_per_second": 0.812,
"step": 281
},
{
"epoch": 9.28,
"learning_rate": 7.646356033452809e-05,
"loss": 0.3623,
"step": 290
},
{
"epoch": 9.6,
"learning_rate": 7.526881720430108e-05,
"loss": 0.3859,
"step": 300
},
{
"epoch": 9.92,
"learning_rate": 7.407407407407407e-05,
"loss": 0.355,
"step": 310
},
{
"epoch": 9.98,
"eval_accuracy": 0.8410372040586246,
"eval_f1": 0.8405397327667177,
"eval_loss": 0.5063195824623108,
"eval_precision": 0.8432750192889569,
"eval_recall": 0.8410372040586246,
"eval_runtime": 16.9471,
"eval_samples_per_second": 104.678,
"eval_steps_per_second": 0.826,
"step": 312
},
{
"epoch": 10.24,
"learning_rate": 7.287933094384708e-05,
"loss": 0.3546,
"step": 320
},
{
"epoch": 10.56,
"learning_rate": 7.168458781362007e-05,
"loss": 0.3651,
"step": 330
},
{
"epoch": 10.88,
"learning_rate": 7.048984468339306e-05,
"loss": 0.3655,
"step": 340
},
{
"epoch": 10.98,
"eval_accuracy": 0.8325817361894025,
"eval_f1": 0.8304645126548728,
"eval_loss": 0.5418781042098999,
"eval_precision": 0.8342869154143101,
"eval_recall": 0.8325817361894025,
"eval_runtime": 17.1542,
"eval_samples_per_second": 103.415,
"eval_steps_per_second": 0.816,
"step": 343
},
{
"epoch": 11.2,
"learning_rate": 6.929510155316607e-05,
"loss": 0.321,
"step": 350
},
{
"epoch": 11.52,
"learning_rate": 6.810035842293908e-05,
"loss": 0.3149,
"step": 360
},
{
"epoch": 11.84,
"learning_rate": 6.690561529271207e-05,
"loss": 0.3292,
"step": 370
},
{
"epoch": 12.0,
"eval_accuracy": 0.8438556933483653,
"eval_f1": 0.8414694905603178,
"eval_loss": 0.5134132504463196,
"eval_precision": 0.8441999477281247,
"eval_recall": 0.8438556933483653,
"eval_runtime": 17.5078,
"eval_samples_per_second": 101.326,
"eval_steps_per_second": 0.8,
"step": 375
},
{
"epoch": 12.16,
"learning_rate": 6.571087216248507e-05,
"loss": 0.307,
"step": 380
},
{
"epoch": 12.48,
"learning_rate": 6.451612903225807e-05,
"loss": 0.2954,
"step": 390
},
{
"epoch": 12.8,
"learning_rate": 6.332138590203107e-05,
"loss": 0.3207,
"step": 400
},
{
"epoch": 12.99,
"eval_accuracy": 0.818489289740699,
"eval_f1": 0.8178062229123537,
"eval_loss": 0.6284513473510742,
"eval_precision": 0.8292555687045076,
"eval_recall": 0.818489289740699,
"eval_runtime": 17.3492,
"eval_samples_per_second": 102.253,
"eval_steps_per_second": 0.807,
"step": 406
},
{
"epoch": 13.12,
"learning_rate": 6.212664277180407e-05,
"loss": 0.3036,
"step": 410
},
{
"epoch": 13.44,
"learning_rate": 6.093189964157706e-05,
"loss": 0.2996,
"step": 420
},
{
"epoch": 13.76,
"learning_rate": 5.9737156511350064e-05,
"loss": 0.2931,
"step": 430
},
{
"epoch": 13.98,
"eval_accuracy": 0.8382187147688839,
"eval_f1": 0.8370541465865403,
"eval_loss": 0.5627130270004272,
"eval_precision": 0.839486824110364,
"eval_recall": 0.8382187147688839,
"eval_runtime": 17.3615,
"eval_samples_per_second": 102.18,
"eval_steps_per_second": 0.806,
"step": 437
},
{
"epoch": 14.08,
"learning_rate": 5.8542413381123063e-05,
"loss": 0.285,
"step": 440
},
{
"epoch": 14.4,
"learning_rate": 5.7347670250896056e-05,
"loss": 0.2668,
"step": 450
},
{
"epoch": 14.72,
"learning_rate": 5.615292712066906e-05,
"loss": 0.2817,
"step": 460
},
{
"epoch": 14.98,
"eval_accuracy": 0.8207440811724915,
"eval_f1": 0.8215045979425666,
"eval_loss": 0.6059415936470032,
"eval_precision": 0.8277800413747494,
"eval_recall": 0.8207440811724915,
"eval_runtime": 17.4368,
"eval_samples_per_second": 101.739,
"eval_steps_per_second": 0.803,
"step": 468
},
{
"epoch": 15.04,
"learning_rate": 5.495818399044206e-05,
"loss": 0.2788,
"step": 470
},
{
"epoch": 15.36,
"learning_rate": 5.3763440860215054e-05,
"loss": 0.2477,
"step": 480
},
{
"epoch": 15.68,
"learning_rate": 5.256869772998806e-05,
"loss": 0.2632,
"step": 490
},
{
"epoch": 16.0,
"learning_rate": 5.137395459976105e-05,
"loss": 0.2713,
"step": 500
},
{
"epoch": 16.0,
"eval_accuracy": 0.8382187147688839,
"eval_f1": 0.833707206410208,
"eval_loss": 0.6140456795692444,
"eval_precision": 0.8367410596472065,
"eval_recall": 0.8382187147688839,
"eval_runtime": 16.853,
"eval_samples_per_second": 105.263,
"eval_steps_per_second": 0.831,
"step": 500
},
{
"epoch": 16.32,
"learning_rate": 5.017921146953405e-05,
"loss": 0.2436,
"step": 510
},
{
"epoch": 16.64,
"learning_rate": 4.898446833930705e-05,
"loss": 0.2609,
"step": 520
},
{
"epoch": 16.96,
"learning_rate": 4.778972520908005e-05,
"loss": 0.233,
"step": 530
},
{
"epoch": 16.99,
"eval_accuracy": 0.8382187147688839,
"eval_f1": 0.8374417130087097,
"eval_loss": 0.5992226004600525,
"eval_precision": 0.8384211210396012,
"eval_recall": 0.8382187147688839,
"eval_runtime": 17.2766,
"eval_samples_per_second": 102.682,
"eval_steps_per_second": 0.81,
"step": 531
},
{
"epoch": 17.28,
"learning_rate": 4.659498207885305e-05,
"loss": 0.2495,
"step": 540
},
{
"epoch": 17.6,
"learning_rate": 4.540023894862604e-05,
"loss": 0.2439,
"step": 550
},
{
"epoch": 17.92,
"learning_rate": 4.420549581839905e-05,
"loss": 0.2313,
"step": 560
},
{
"epoch": 17.98,
"eval_accuracy": 0.8291995490417137,
"eval_f1": 0.8277700567784572,
"eval_loss": 0.6679310202598572,
"eval_precision": 0.8343220081023114,
"eval_recall": 0.8291995490417137,
"eval_runtime": 17.1635,
"eval_samples_per_second": 103.359,
"eval_steps_per_second": 0.816,
"step": 562
},
{
"epoch": 18.24,
"learning_rate": 4.301075268817205e-05,
"loss": 0.2372,
"step": 570
},
{
"epoch": 18.56,
"learning_rate": 4.1816009557945046e-05,
"loss": 0.2221,
"step": 580
},
{
"epoch": 18.88,
"learning_rate": 4.062126642771804e-05,
"loss": 0.223,
"step": 590
},
{
"epoch": 18.98,
"eval_accuracy": 0.8342728297632469,
"eval_f1": 0.8347284925921231,
"eval_loss": 0.650068461894989,
"eval_precision": 0.83863912442667,
"eval_recall": 0.8342728297632469,
"eval_runtime": 17.3595,
"eval_samples_per_second": 102.192,
"eval_steps_per_second": 0.806,
"step": 593
},
{
"epoch": 19.2,
"learning_rate": 3.9426523297491045e-05,
"loss": 0.2233,
"step": 600
},
{
"epoch": 19.52,
"learning_rate": 3.8231780167264044e-05,
"loss": 0.2252,
"step": 610
},
{
"epoch": 19.84,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.2126,
"step": 620
},
{
"epoch": 20.0,
"eval_accuracy": 0.8342728297632469,
"eval_f1": 0.8296208996152092,
"eval_loss": 0.6730501651763916,
"eval_precision": 0.8304365724870174,
"eval_recall": 0.8342728297632469,
"eval_runtime": 17.1049,
"eval_samples_per_second": 103.713,
"eval_steps_per_second": 0.818,
"step": 625
},
{
"epoch": 20.16,
"learning_rate": 3.5842293906810036e-05,
"loss": 0.2106,
"step": 630
},
{
"epoch": 20.48,
"learning_rate": 3.4647550776583035e-05,
"loss": 0.2086,
"step": 640
},
{
"epoch": 20.8,
"learning_rate": 3.3452807646356034e-05,
"loss": 0.2078,
"step": 650
},
{
"epoch": 20.99,
"eval_accuracy": 0.8387824126268321,
"eval_f1": 0.8383399204498011,
"eval_loss": 0.6334655284881592,
"eval_precision": 0.8409778004650714,
"eval_recall": 0.8387824126268321,
"eval_runtime": 16.9486,
"eval_samples_per_second": 104.669,
"eval_steps_per_second": 0.826,
"step": 656
},
{
"epoch": 21.12,
"learning_rate": 3.2258064516129034e-05,
"loss": 0.2071,
"step": 660
},
{
"epoch": 21.44,
"learning_rate": 3.106332138590203e-05,
"loss": 0.2069,
"step": 670
},
{
"epoch": 21.76,
"learning_rate": 2.9868578255675032e-05,
"loss": 0.201,
"step": 680
},
{
"epoch": 21.98,
"eval_accuracy": 0.850620067643743,
"eval_f1": 0.8485040018671677,
"eval_loss": 0.6119940876960754,
"eval_precision": 0.84779749511018,
"eval_recall": 0.850620067643743,
"eval_runtime": 17.2379,
"eval_samples_per_second": 102.913,
"eval_steps_per_second": 0.812,
"step": 687
},
{
"epoch": 22.08,
"learning_rate": 2.8673835125448028e-05,
"loss": 0.2058,
"step": 690
},
{
"epoch": 22.4,
"learning_rate": 2.747909199522103e-05,
"loss": 0.1894,
"step": 700
},
{
"epoch": 22.72,
"learning_rate": 2.628434886499403e-05,
"loss": 0.2045,
"step": 710
},
{
"epoch": 22.98,
"eval_accuracy": 0.8410372040586246,
"eval_f1": 0.8370636059789568,
"eval_loss": 0.6590279340744019,
"eval_precision": 0.8389140338894852,
"eval_recall": 0.8410372040586246,
"eval_runtime": 17.4487,
"eval_samples_per_second": 101.669,
"eval_steps_per_second": 0.802,
"step": 718
},
{
"epoch": 23.04,
"learning_rate": 2.5089605734767026e-05,
"loss": 0.2042,
"step": 720
},
{
"epoch": 23.36,
"learning_rate": 2.3894862604540025e-05,
"loss": 0.2018,
"step": 730
},
{
"epoch": 23.68,
"learning_rate": 2.270011947431302e-05,
"loss": 0.201,
"step": 740
},
{
"epoch": 24.0,
"learning_rate": 2.1505376344086024e-05,
"loss": 0.1759,
"step": 750
},
{
"epoch": 24.0,
"eval_accuracy": 0.8489289740698985,
"eval_f1": 0.8457283475787394,
"eval_loss": 0.6477726697921753,
"eval_precision": 0.8463914374344644,
"eval_recall": 0.8489289740698985,
"eval_runtime": 17.1928,
"eval_samples_per_second": 103.183,
"eval_steps_per_second": 0.814,
"step": 750
},
{
"epoch": 24.32,
"learning_rate": 2.031063321385902e-05,
"loss": 0.2004,
"step": 760
},
{
"epoch": 24.64,
"learning_rate": 1.9115890083632022e-05,
"loss": 0.1828,
"step": 770
},
{
"epoch": 24.96,
"learning_rate": 1.7921146953405018e-05,
"loss": 0.1856,
"step": 780
},
{
"epoch": 24.99,
"eval_accuracy": 0.8444193912063134,
"eval_f1": 0.8420114736469138,
"eval_loss": 0.6604239344596863,
"eval_precision": 0.8413499043245124,
"eval_recall": 0.8444193912063134,
"eval_runtime": 17.0578,
"eval_samples_per_second": 103.999,
"eval_steps_per_second": 0.821,
"step": 781
},
{
"epoch": 25.28,
"learning_rate": 1.6726403823178017e-05,
"loss": 0.1685,
"step": 790
},
{
"epoch": 25.6,
"learning_rate": 1.5531660692951016e-05,
"loss": 0.1717,
"step": 800
},
{
"epoch": 25.92,
"learning_rate": 1.4336917562724014e-05,
"loss": 0.1766,
"step": 810
},
{
"epoch": 25.98,
"eval_accuracy": 0.8500563697857948,
"eval_f1": 0.8484278487289038,
"eval_loss": 0.6922361850738525,
"eval_precision": 0.8491261339823137,
"eval_recall": 0.8500563697857948,
"eval_runtime": 17.4796,
"eval_samples_per_second": 101.49,
"eval_steps_per_second": 0.801,
"step": 812
},
{
"epoch": 26.24,
"learning_rate": 1.3142174432497015e-05,
"loss": 0.1839,
"step": 820
},
{
"epoch": 26.56,
"learning_rate": 1.1947431302270013e-05,
"loss": 0.1758,
"step": 830
},
{
"epoch": 26.88,
"learning_rate": 1.0752688172043012e-05,
"loss": 0.1841,
"step": 840
},
{
"epoch": 26.98,
"eval_accuracy": 0.8500563697857948,
"eval_f1": 0.8485537434372422,
"eval_loss": 0.6484794616699219,
"eval_precision": 0.8493151913843657,
"eval_recall": 0.8500563697857948,
"eval_runtime": 17.1293,
"eval_samples_per_second": 103.565,
"eval_steps_per_second": 0.817,
"step": 843
},
{
"epoch": 27.2,
"learning_rate": 9.557945041816011e-06,
"loss": 0.1818,
"step": 850
},
{
"epoch": 27.52,
"learning_rate": 8.363201911589009e-06,
"loss": 0.1798,
"step": 860
},
{
"epoch": 27.84,
"learning_rate": 7.168458781362007e-06,
"loss": 0.1707,
"step": 870
},
{
"epoch": 28.0,
"eval_accuracy": 0.846674182638106,
"eval_f1": 0.844633535513836,
"eval_loss": 0.6392838954925537,
"eval_precision": 0.8439910314731612,
"eval_recall": 0.846674182638106,
"eval_runtime": 17.3476,
"eval_samples_per_second": 102.262,
"eval_steps_per_second": 0.807,
"step": 875
},
{
"epoch": 28.16,
"learning_rate": 5.973715651135006e-06,
"loss": 0.1883,
"step": 880
},
{
"epoch": 28.48,
"learning_rate": 4.7789725209080055e-06,
"loss": 0.1712,
"step": 890
},
{
"epoch": 28.8,
"learning_rate": 3.5842293906810035e-06,
"loss": 0.1792,
"step": 900
},
{
"epoch": 28.99,
"eval_accuracy": 0.855129650507328,
"eval_f1": 0.8525596225280389,
"eval_loss": 0.6403793692588806,
"eval_precision": 0.8525018926508404,
"eval_recall": 0.855129650507328,
"eval_runtime": 17.1962,
"eval_samples_per_second": 103.162,
"eval_steps_per_second": 0.814,
"step": 906
},
{
"epoch": 29.12,
"learning_rate": 2.3894862604540028e-06,
"loss": 0.1795,
"step": 910
},
{
"epoch": 29.44,
"learning_rate": 1.1947431302270014e-06,
"loss": 0.1619,
"step": 920
},
{
"epoch": 29.76,
"learning_rate": 0.0,
"loss": 0.1713,
"step": 930
},
{
"epoch": 29.76,
"eval_accuracy": 0.8534385569334837,
"eval_f1": 0.851097208124706,
"eval_loss": 0.6397678256034851,
"eval_precision": 0.8513110036968645,
"eval_recall": 0.8534385569334837,
"eval_runtime": 17.1103,
"eval_samples_per_second": 103.68,
"eval_steps_per_second": 0.818,
"step": 930
},
{
"epoch": 29.76,
"step": 930,
"total_flos": 1.3013814188701234e+20,
"train_loss": 0.3639387649874533,
"train_runtime": 9909.908,
"train_samples_per_second": 48.321,
"train_steps_per_second": 0.094
}
],
"logging_steps": 10,
"max_steps": 930,
"num_input_tokens_seen": 0,
"num_train_epochs": 30,
"save_steps": 500,
"total_flos": 1.3013814188701234e+20,
"train_batch_size": 128,
"trial_name": null,
"trial_params": null
}