VanAnh's picture
End of training
6d24496 verified
{
"best_metric": 0.5909090909090909,
"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-isic217/checkpoint-563",
"epoch": 48.97959183673469,
"eval_steps": 500,
"global_step": 1200,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.40816326530612246,
"grad_norm": 19.762880325317383,
"learning_rate": 4.166666666666667e-06,
"loss": 2.2252,
"step": 10
},
{
"epoch": 0.8163265306122449,
"grad_norm": 15.404119491577148,
"learning_rate": 8.333333333333334e-06,
"loss": 2.2679,
"step": 20
},
{
"epoch": 0.9795918367346939,
"eval_accuracy": 0.09090909090909091,
"eval_loss": 2.1550188064575195,
"eval_runtime": 6.6011,
"eval_samples_per_second": 3.333,
"eval_steps_per_second": 1.666,
"step": 24
},
{
"epoch": 1.2244897959183674,
"grad_norm": 21.01092529296875,
"learning_rate": 1.25e-05,
"loss": 2.0909,
"step": 30
},
{
"epoch": 1.6326530612244898,
"grad_norm": 19.893291473388672,
"learning_rate": 1.6666666666666667e-05,
"loss": 2.0504,
"step": 40
},
{
"epoch": 2.0,
"eval_accuracy": 0.2727272727272727,
"eval_loss": 2.0559206008911133,
"eval_runtime": 3.7884,
"eval_samples_per_second": 5.807,
"eval_steps_per_second": 2.904,
"step": 49
},
{
"epoch": 2.0408163265306123,
"grad_norm": 18.42198944091797,
"learning_rate": 2.0833333333333336e-05,
"loss": 1.987,
"step": 50
},
{
"epoch": 2.4489795918367347,
"grad_norm": 29.596494674682617,
"learning_rate": 2.5e-05,
"loss": 1.8355,
"step": 60
},
{
"epoch": 2.857142857142857,
"grad_norm": 23.39991569519043,
"learning_rate": 2.916666666666667e-05,
"loss": 1.8943,
"step": 70
},
{
"epoch": 2.979591836734694,
"eval_accuracy": 0.22727272727272727,
"eval_loss": 2.0185506343841553,
"eval_runtime": 3.7191,
"eval_samples_per_second": 5.915,
"eval_steps_per_second": 2.958,
"step": 73
},
{
"epoch": 3.2653061224489797,
"grad_norm": 34.72861099243164,
"learning_rate": 3.3333333333333335e-05,
"loss": 1.6665,
"step": 80
},
{
"epoch": 3.673469387755102,
"grad_norm": 23.47280502319336,
"learning_rate": 3.7500000000000003e-05,
"loss": 1.5671,
"step": 90
},
{
"epoch": 4.0,
"eval_accuracy": 0.22727272727272727,
"eval_loss": 1.815375804901123,
"eval_runtime": 3.7909,
"eval_samples_per_second": 5.803,
"eval_steps_per_second": 2.902,
"step": 98
},
{
"epoch": 4.081632653061225,
"grad_norm": 28.841514587402344,
"learning_rate": 4.166666666666667e-05,
"loss": 1.664,
"step": 100
},
{
"epoch": 4.489795918367347,
"grad_norm": 30.53756332397461,
"learning_rate": 4.5833333333333334e-05,
"loss": 1.553,
"step": 110
},
{
"epoch": 4.8979591836734695,
"grad_norm": 47.8935432434082,
"learning_rate": 5e-05,
"loss": 1.3425,
"step": 120
},
{
"epoch": 4.979591836734694,
"eval_accuracy": 0.22727272727272727,
"eval_loss": 2.047502279281616,
"eval_runtime": 3.683,
"eval_samples_per_second": 5.973,
"eval_steps_per_second": 2.987,
"step": 122
},
{
"epoch": 5.3061224489795915,
"grad_norm": 21.777742385864258,
"learning_rate": 4.9537037037037035e-05,
"loss": 1.2543,
"step": 130
},
{
"epoch": 5.714285714285714,
"grad_norm": 32.264713287353516,
"learning_rate": 4.9074074074074075e-05,
"loss": 1.2758,
"step": 140
},
{
"epoch": 6.0,
"eval_accuracy": 0.22727272727272727,
"eval_loss": 2.1913788318634033,
"eval_runtime": 3.8174,
"eval_samples_per_second": 5.763,
"eval_steps_per_second": 2.882,
"step": 147
},
{
"epoch": 6.122448979591836,
"grad_norm": 30.771316528320312,
"learning_rate": 4.8611111111111115e-05,
"loss": 1.0049,
"step": 150
},
{
"epoch": 6.530612244897959,
"grad_norm": 37.03094482421875,
"learning_rate": 4.814814814814815e-05,
"loss": 0.9949,
"step": 160
},
{
"epoch": 6.938775510204081,
"grad_norm": 38.22206497192383,
"learning_rate": 4.768518518518519e-05,
"loss": 0.9808,
"step": 170
},
{
"epoch": 6.979591836734694,
"eval_accuracy": 0.36363636363636365,
"eval_loss": 2.047807455062866,
"eval_runtime": 3.6897,
"eval_samples_per_second": 5.963,
"eval_steps_per_second": 2.981,
"step": 171
},
{
"epoch": 7.346938775510204,
"grad_norm": 30.003612518310547,
"learning_rate": 4.722222222222222e-05,
"loss": 0.9797,
"step": 180
},
{
"epoch": 7.755102040816326,
"grad_norm": 48.88200378417969,
"learning_rate": 4.675925925925926e-05,
"loss": 0.7246,
"step": 190
},
{
"epoch": 8.0,
"eval_accuracy": 0.4090909090909091,
"eval_loss": 1.884019374847412,
"eval_runtime": 4.5579,
"eval_samples_per_second": 4.827,
"eval_steps_per_second": 2.413,
"step": 196
},
{
"epoch": 8.16326530612245,
"grad_norm": 25.771787643432617,
"learning_rate": 4.62962962962963e-05,
"loss": 0.8633,
"step": 200
},
{
"epoch": 8.571428571428571,
"grad_norm": 22.62033462524414,
"learning_rate": 4.5833333333333334e-05,
"loss": 0.5814,
"step": 210
},
{
"epoch": 8.979591836734693,
"grad_norm": 37.1585578918457,
"learning_rate": 4.5370370370370374e-05,
"loss": 0.7323,
"step": 220
},
{
"epoch": 8.979591836734693,
"eval_accuracy": 0.4090909090909091,
"eval_loss": 2.1831090450286865,
"eval_runtime": 3.7295,
"eval_samples_per_second": 5.899,
"eval_steps_per_second": 2.949,
"step": 220
},
{
"epoch": 9.387755102040817,
"grad_norm": 31.566368103027344,
"learning_rate": 4.490740740740741e-05,
"loss": 0.5923,
"step": 230
},
{
"epoch": 9.795918367346939,
"grad_norm": 61.39928436279297,
"learning_rate": 4.4444444444444447e-05,
"loss": 0.4881,
"step": 240
},
{
"epoch": 10.0,
"eval_accuracy": 0.36363636363636365,
"eval_loss": 2.286790132522583,
"eval_runtime": 3.7469,
"eval_samples_per_second": 5.872,
"eval_steps_per_second": 2.936,
"step": 245
},
{
"epoch": 10.204081632653061,
"grad_norm": 57.27079772949219,
"learning_rate": 4.3981481481481486e-05,
"loss": 0.4739,
"step": 250
},
{
"epoch": 10.612244897959183,
"grad_norm": 12.431879043579102,
"learning_rate": 4.351851851851852e-05,
"loss": 0.4346,
"step": 260
},
{
"epoch": 10.979591836734693,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.231236457824707,
"eval_runtime": 3.6895,
"eval_samples_per_second": 5.963,
"eval_steps_per_second": 2.981,
"step": 269
},
{
"epoch": 11.020408163265307,
"grad_norm": 13.14640998840332,
"learning_rate": 4.305555555555556e-05,
"loss": 0.3967,
"step": 270
},
{
"epoch": 11.428571428571429,
"grad_norm": 37.04918670654297,
"learning_rate": 4.259259259259259e-05,
"loss": 0.4297,
"step": 280
},
{
"epoch": 11.83673469387755,
"grad_norm": 35.07551574707031,
"learning_rate": 4.212962962962963e-05,
"loss": 0.5647,
"step": 290
},
{
"epoch": 12.0,
"eval_accuracy": 0.4090909090909091,
"eval_loss": 1.9897090196609497,
"eval_runtime": 3.8455,
"eval_samples_per_second": 5.721,
"eval_steps_per_second": 2.86,
"step": 294
},
{
"epoch": 12.244897959183673,
"grad_norm": 5.31343936920166,
"learning_rate": 4.166666666666667e-05,
"loss": 0.376,
"step": 300
},
{
"epoch": 12.653061224489797,
"grad_norm": 2.7732479572296143,
"learning_rate": 4.1203703703703705e-05,
"loss": 0.1464,
"step": 310
},
{
"epoch": 12.979591836734693,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.057887315750122,
"eval_runtime": 3.7271,
"eval_samples_per_second": 5.903,
"eval_steps_per_second": 2.951,
"step": 318
},
{
"epoch": 13.061224489795919,
"grad_norm": 27.16363525390625,
"learning_rate": 4.074074074074074e-05,
"loss": 0.4971,
"step": 320
},
{
"epoch": 13.46938775510204,
"grad_norm": 21.138622283935547,
"learning_rate": 4.027777777777778e-05,
"loss": 0.5071,
"step": 330
},
{
"epoch": 13.877551020408163,
"grad_norm": 79.29064178466797,
"learning_rate": 3.981481481481482e-05,
"loss": 0.5575,
"step": 340
},
{
"epoch": 14.0,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.1859312057495117,
"eval_runtime": 3.7744,
"eval_samples_per_second": 5.829,
"eval_steps_per_second": 2.914,
"step": 343
},
{
"epoch": 14.285714285714286,
"grad_norm": 1.0631258487701416,
"learning_rate": 3.935185185185186e-05,
"loss": 0.213,
"step": 350
},
{
"epoch": 14.693877551020408,
"grad_norm": 59.045860290527344,
"learning_rate": 3.888888888888889e-05,
"loss": 0.3894,
"step": 360
},
{
"epoch": 14.979591836734693,
"eval_accuracy": 0.36363636363636365,
"eval_loss": 2.7353034019470215,
"eval_runtime": 4.1695,
"eval_samples_per_second": 5.276,
"eval_steps_per_second": 2.638,
"step": 367
},
{
"epoch": 15.10204081632653,
"grad_norm": 7.641679763793945,
"learning_rate": 3.8425925925925924e-05,
"loss": 0.2927,
"step": 370
},
{
"epoch": 15.510204081632653,
"grad_norm": 30.950389862060547,
"learning_rate": 3.7962962962962964e-05,
"loss": 0.4006,
"step": 380
},
{
"epoch": 15.918367346938776,
"grad_norm": 6.0692524909973145,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.4326,
"step": 390
},
{
"epoch": 16.0,
"eval_accuracy": 0.36363636363636365,
"eval_loss": 2.4454774856567383,
"eval_runtime": 3.8093,
"eval_samples_per_second": 5.775,
"eval_steps_per_second": 2.888,
"step": 392
},
{
"epoch": 16.3265306122449,
"grad_norm": 37.877662658691406,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.381,
"step": 400
},
{
"epoch": 16.73469387755102,
"grad_norm": 6.306503772735596,
"learning_rate": 3.6574074074074076e-05,
"loss": 0.3715,
"step": 410
},
{
"epoch": 16.979591836734695,
"eval_accuracy": 0.5454545454545454,
"eval_loss": 2.310415744781494,
"eval_runtime": 3.7058,
"eval_samples_per_second": 5.937,
"eval_steps_per_second": 2.968,
"step": 416
},
{
"epoch": 17.142857142857142,
"grad_norm": 11.820294380187988,
"learning_rate": 3.611111111111111e-05,
"loss": 0.3212,
"step": 420
},
{
"epoch": 17.551020408163264,
"grad_norm": 49.839988708496094,
"learning_rate": 3.564814814814815e-05,
"loss": 0.2577,
"step": 430
},
{
"epoch": 17.959183673469386,
"grad_norm": 18.69984245300293,
"learning_rate": 3.518518518518519e-05,
"loss": 0.3966,
"step": 440
},
{
"epoch": 18.0,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.459726333618164,
"eval_runtime": 3.7623,
"eval_samples_per_second": 5.848,
"eval_steps_per_second": 2.924,
"step": 441
},
{
"epoch": 18.367346938775512,
"grad_norm": 53.232845306396484,
"learning_rate": 3.472222222222222e-05,
"loss": 0.2414,
"step": 450
},
{
"epoch": 18.775510204081634,
"grad_norm": 17.193056106567383,
"learning_rate": 3.425925925925926e-05,
"loss": 0.1855,
"step": 460
},
{
"epoch": 18.979591836734695,
"eval_accuracy": 0.36363636363636365,
"eval_loss": 2.3334853649139404,
"eval_runtime": 3.7675,
"eval_samples_per_second": 5.839,
"eval_steps_per_second": 2.92,
"step": 465
},
{
"epoch": 19.183673469387756,
"grad_norm": 83.63492584228516,
"learning_rate": 3.3796296296296295e-05,
"loss": 0.147,
"step": 470
},
{
"epoch": 19.591836734693878,
"grad_norm": 18.476999282836914,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.1192,
"step": 480
},
{
"epoch": 20.0,
"grad_norm": 4.202638626098633,
"learning_rate": 3.2870370370370375e-05,
"loss": 0.1528,
"step": 490
},
{
"epoch": 20.0,
"eval_accuracy": 0.4090909090909091,
"eval_loss": 2.3629674911499023,
"eval_runtime": 3.7957,
"eval_samples_per_second": 5.796,
"eval_steps_per_second": 2.898,
"step": 490
},
{
"epoch": 20.408163265306122,
"grad_norm": 69.58875274658203,
"learning_rate": 3.240740740740741e-05,
"loss": 0.1692,
"step": 500
},
{
"epoch": 20.816326530612244,
"grad_norm": 27.37713050842285,
"learning_rate": 3.194444444444444e-05,
"loss": 0.2036,
"step": 510
},
{
"epoch": 20.979591836734695,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.3520021438598633,
"eval_runtime": 3.6999,
"eval_samples_per_second": 5.946,
"eval_steps_per_second": 2.973,
"step": 514
},
{
"epoch": 21.224489795918366,
"grad_norm": 47.89410400390625,
"learning_rate": 3.148148148148148e-05,
"loss": 0.2093,
"step": 520
},
{
"epoch": 21.632653061224488,
"grad_norm": 42.28773880004883,
"learning_rate": 3.101851851851852e-05,
"loss": 0.2026,
"step": 530
},
{
"epoch": 22.0,
"eval_accuracy": 0.4090909090909091,
"eval_loss": 2.7011702060699463,
"eval_runtime": 4.0581,
"eval_samples_per_second": 5.421,
"eval_steps_per_second": 2.711,
"step": 539
},
{
"epoch": 22.040816326530614,
"grad_norm": 9.840641975402832,
"learning_rate": 3.055555555555556e-05,
"loss": 0.2354,
"step": 540
},
{
"epoch": 22.448979591836736,
"grad_norm": 292.9500732421875,
"learning_rate": 3.0092592592592593e-05,
"loss": 0.1092,
"step": 550
},
{
"epoch": 22.857142857142858,
"grad_norm": 3.9684982299804688,
"learning_rate": 2.962962962962963e-05,
"loss": 0.2127,
"step": 560
},
{
"epoch": 22.979591836734695,
"eval_accuracy": 0.5909090909090909,
"eval_loss": 2.3724472522735596,
"eval_runtime": 3.7338,
"eval_samples_per_second": 5.892,
"eval_steps_per_second": 2.946,
"step": 563
},
{
"epoch": 23.26530612244898,
"grad_norm": 33.97622299194336,
"learning_rate": 2.916666666666667e-05,
"loss": 0.287,
"step": 570
},
{
"epoch": 23.6734693877551,
"grad_norm": 64.21463012695312,
"learning_rate": 2.8703703703703706e-05,
"loss": 0.2719,
"step": 580
},
{
"epoch": 24.0,
"eval_accuracy": 0.3181818181818182,
"eval_loss": 3.0376410484313965,
"eval_runtime": 3.8252,
"eval_samples_per_second": 5.751,
"eval_steps_per_second": 2.876,
"step": 588
},
{
"epoch": 24.081632653061224,
"grad_norm": 18.13422203063965,
"learning_rate": 2.824074074074074e-05,
"loss": 0.1286,
"step": 590
},
{
"epoch": 24.489795918367346,
"grad_norm": 1.6358630657196045,
"learning_rate": 2.777777777777778e-05,
"loss": 0.0524,
"step": 600
},
{
"epoch": 24.897959183673468,
"grad_norm": 2.2687888145446777,
"learning_rate": 2.7314814814814816e-05,
"loss": 0.1292,
"step": 610
},
{
"epoch": 24.979591836734695,
"eval_accuracy": 0.5,
"eval_loss": 2.568352699279785,
"eval_runtime": 3.7655,
"eval_samples_per_second": 5.842,
"eval_steps_per_second": 2.921,
"step": 612
},
{
"epoch": 25.306122448979593,
"grad_norm": 0.1713099479675293,
"learning_rate": 2.6851851851851855e-05,
"loss": 0.2063,
"step": 620
},
{
"epoch": 25.714285714285715,
"grad_norm": 0.19898605346679688,
"learning_rate": 2.6388888888888892e-05,
"loss": 0.2533,
"step": 630
},
{
"epoch": 26.0,
"eval_accuracy": 0.4090909090909091,
"eval_loss": 2.6974411010742188,
"eval_runtime": 4.1166,
"eval_samples_per_second": 5.344,
"eval_steps_per_second": 2.672,
"step": 637
},
{
"epoch": 26.122448979591837,
"grad_norm": 10.351354598999023,
"learning_rate": 2.5925925925925925e-05,
"loss": 0.0784,
"step": 640
},
{
"epoch": 26.53061224489796,
"grad_norm": 53.10356903076172,
"learning_rate": 2.5462962962962965e-05,
"loss": 0.102,
"step": 650
},
{
"epoch": 26.93877551020408,
"grad_norm": 34.5041389465332,
"learning_rate": 2.5e-05,
"loss": 0.1947,
"step": 660
},
{
"epoch": 26.979591836734695,
"eval_accuracy": 0.4090909090909091,
"eval_loss": 2.695702075958252,
"eval_runtime": 3.6793,
"eval_samples_per_second": 5.979,
"eval_steps_per_second": 2.99,
"step": 661
},
{
"epoch": 27.346938775510203,
"grad_norm": 0.4286749064922333,
"learning_rate": 2.4537037037037038e-05,
"loss": 0.1586,
"step": 670
},
{
"epoch": 27.755102040816325,
"grad_norm": 1.2722495794296265,
"learning_rate": 2.4074074074074074e-05,
"loss": 0.1805,
"step": 680
},
{
"epoch": 28.0,
"eval_accuracy": 0.4090909090909091,
"eval_loss": 2.8953325748443604,
"eval_runtime": 3.8043,
"eval_samples_per_second": 5.783,
"eval_steps_per_second": 2.891,
"step": 686
},
{
"epoch": 28.163265306122447,
"grad_norm": 9.904804229736328,
"learning_rate": 2.361111111111111e-05,
"loss": 0.3122,
"step": 690
},
{
"epoch": 28.571428571428573,
"grad_norm": 34.21662521362305,
"learning_rate": 2.314814814814815e-05,
"loss": 0.0842,
"step": 700
},
{
"epoch": 28.979591836734695,
"grad_norm": 0.2031356394290924,
"learning_rate": 2.2685185185185187e-05,
"loss": 0.1123,
"step": 710
},
{
"epoch": 28.979591836734695,
"eval_accuracy": 0.4090909090909091,
"eval_loss": 2.824019432067871,
"eval_runtime": 4.2297,
"eval_samples_per_second": 5.201,
"eval_steps_per_second": 2.601,
"step": 710
},
{
"epoch": 29.387755102040817,
"grad_norm": 0.74458909034729,
"learning_rate": 2.2222222222222223e-05,
"loss": 0.1034,
"step": 720
},
{
"epoch": 29.79591836734694,
"grad_norm": 52.627017974853516,
"learning_rate": 2.175925925925926e-05,
"loss": 0.2143,
"step": 730
},
{
"epoch": 30.0,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.3879992961883545,
"eval_runtime": 3.7999,
"eval_samples_per_second": 5.79,
"eval_steps_per_second": 2.895,
"step": 735
},
{
"epoch": 30.20408163265306,
"grad_norm": 18.753475189208984,
"learning_rate": 2.1296296296296296e-05,
"loss": 0.1084,
"step": 740
},
{
"epoch": 30.612244897959183,
"grad_norm": 36.20948028564453,
"learning_rate": 2.0833333333333336e-05,
"loss": 0.1845,
"step": 750
},
{
"epoch": 30.979591836734695,
"eval_accuracy": 0.36363636363636365,
"eval_loss": 2.607203483581543,
"eval_runtime": 3.7239,
"eval_samples_per_second": 5.908,
"eval_steps_per_second": 2.954,
"step": 759
},
{
"epoch": 31.020408163265305,
"grad_norm": 125.52183532714844,
"learning_rate": 2.037037037037037e-05,
"loss": 0.1467,
"step": 760
},
{
"epoch": 31.428571428571427,
"grad_norm": 0.5813603401184082,
"learning_rate": 1.990740740740741e-05,
"loss": 0.073,
"step": 770
},
{
"epoch": 31.836734693877553,
"grad_norm": 29.528520584106445,
"learning_rate": 1.9444444444444445e-05,
"loss": 0.0921,
"step": 780
},
{
"epoch": 32.0,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.7255632877349854,
"eval_runtime": 3.7809,
"eval_samples_per_second": 5.819,
"eval_steps_per_second": 2.909,
"step": 784
},
{
"epoch": 32.244897959183675,
"grad_norm": 23.8216495513916,
"learning_rate": 1.8981481481481482e-05,
"loss": 0.0362,
"step": 790
},
{
"epoch": 32.6530612244898,
"grad_norm": 8.946208000183105,
"learning_rate": 1.8518518518518518e-05,
"loss": 0.0276,
"step": 800
},
{
"epoch": 32.97959183673469,
"eval_accuracy": 0.4090909090909091,
"eval_loss": 2.4073522090911865,
"eval_runtime": 3.7423,
"eval_samples_per_second": 5.879,
"eval_steps_per_second": 2.939,
"step": 808
},
{
"epoch": 33.06122448979592,
"grad_norm": 11.886552810668945,
"learning_rate": 1.8055555555555555e-05,
"loss": 0.0145,
"step": 810
},
{
"epoch": 33.46938775510204,
"grad_norm": 2.590672492980957,
"learning_rate": 1.7592592592592595e-05,
"loss": 0.0735,
"step": 820
},
{
"epoch": 33.87755102040816,
"grad_norm": 2.8415122032165527,
"learning_rate": 1.712962962962963e-05,
"loss": 0.0876,
"step": 830
},
{
"epoch": 34.0,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.6042609214782715,
"eval_runtime": 3.8508,
"eval_samples_per_second": 5.713,
"eval_steps_per_second": 2.857,
"step": 833
},
{
"epoch": 34.285714285714285,
"grad_norm": 0.48890063166618347,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.0343,
"step": 840
},
{
"epoch": 34.69387755102041,
"grad_norm": 5.784631252288818,
"learning_rate": 1.6203703703703704e-05,
"loss": 0.0253,
"step": 850
},
{
"epoch": 34.97959183673469,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.76198673248291,
"eval_runtime": 3.6773,
"eval_samples_per_second": 5.983,
"eval_steps_per_second": 2.991,
"step": 857
},
{
"epoch": 35.10204081632653,
"grad_norm": 3.974219560623169,
"learning_rate": 1.574074074074074e-05,
"loss": 0.1737,
"step": 860
},
{
"epoch": 35.51020408163265,
"grad_norm": 0.8458910584449768,
"learning_rate": 1.527777777777778e-05,
"loss": 0.1227,
"step": 870
},
{
"epoch": 35.91836734693877,
"grad_norm": 49.0916748046875,
"learning_rate": 1.4814814814814815e-05,
"loss": 0.1904,
"step": 880
},
{
"epoch": 36.0,
"eval_accuracy": 0.4090909090909091,
"eval_loss": 2.6911137104034424,
"eval_runtime": 4.2847,
"eval_samples_per_second": 5.135,
"eval_steps_per_second": 2.567,
"step": 882
},
{
"epoch": 36.326530612244895,
"grad_norm": 33.6256103515625,
"learning_rate": 1.4351851851851853e-05,
"loss": 0.2075,
"step": 890
},
{
"epoch": 36.734693877551024,
"grad_norm": 0.20336776971817017,
"learning_rate": 1.388888888888889e-05,
"loss": 0.072,
"step": 900
},
{
"epoch": 36.97959183673469,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.6528260707855225,
"eval_runtime": 3.7052,
"eval_samples_per_second": 5.938,
"eval_steps_per_second": 2.969,
"step": 906
},
{
"epoch": 37.142857142857146,
"grad_norm": 18.30384063720703,
"learning_rate": 1.3425925925925928e-05,
"loss": 0.1398,
"step": 910
},
{
"epoch": 37.55102040816327,
"grad_norm": 0.07602863758802414,
"learning_rate": 1.2962962962962962e-05,
"loss": 0.069,
"step": 920
},
{
"epoch": 37.95918367346939,
"grad_norm": 8.712791442871094,
"learning_rate": 1.25e-05,
"loss": 0.169,
"step": 930
},
{
"epoch": 38.0,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.645385265350342,
"eval_runtime": 3.7757,
"eval_samples_per_second": 5.827,
"eval_steps_per_second": 2.913,
"step": 931
},
{
"epoch": 38.36734693877551,
"grad_norm": 0.9796821475028992,
"learning_rate": 1.2037037037037037e-05,
"loss": 0.0137,
"step": 940
},
{
"epoch": 38.775510204081634,
"grad_norm": 0.2808334529399872,
"learning_rate": 1.1574074074074075e-05,
"loss": 0.0978,
"step": 950
},
{
"epoch": 38.97959183673469,
"eval_accuracy": 0.5,
"eval_loss": 2.626924514770508,
"eval_runtime": 3.7403,
"eval_samples_per_second": 5.882,
"eval_steps_per_second": 2.941,
"step": 955
},
{
"epoch": 39.183673469387756,
"grad_norm": 0.008785932324826717,
"learning_rate": 1.1111111111111112e-05,
"loss": 0.0195,
"step": 960
},
{
"epoch": 39.59183673469388,
"grad_norm": 0.38346049189567566,
"learning_rate": 1.0648148148148148e-05,
"loss": 0.0283,
"step": 970
},
{
"epoch": 40.0,
"grad_norm": 91.21365356445312,
"learning_rate": 1.0185185185185185e-05,
"loss": 0.069,
"step": 980
},
{
"epoch": 40.0,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.4153661727905273,
"eval_runtime": 3.8277,
"eval_samples_per_second": 5.748,
"eval_steps_per_second": 2.874,
"step": 980
},
{
"epoch": 40.40816326530612,
"grad_norm": 50.51347351074219,
"learning_rate": 9.722222222222223e-06,
"loss": 0.1111,
"step": 990
},
{
"epoch": 40.816326530612244,
"grad_norm": 0.06127191707491875,
"learning_rate": 9.259259259259259e-06,
"loss": 0.0159,
"step": 1000
},
{
"epoch": 40.97959183673469,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.7026443481445312,
"eval_runtime": 3.6976,
"eval_samples_per_second": 5.95,
"eval_steps_per_second": 2.975,
"step": 1004
},
{
"epoch": 41.224489795918366,
"grad_norm": 0.4312690794467926,
"learning_rate": 8.796296296296297e-06,
"loss": 0.1659,
"step": 1010
},
{
"epoch": 41.63265306122449,
"grad_norm": 0.1739516258239746,
"learning_rate": 8.333333333333334e-06,
"loss": 0.2046,
"step": 1020
},
{
"epoch": 42.0,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.521285057067871,
"eval_runtime": 4.0417,
"eval_samples_per_second": 5.443,
"eval_steps_per_second": 2.722,
"step": 1029
},
{
"epoch": 42.04081632653061,
"grad_norm": 0.023499183356761932,
"learning_rate": 7.87037037037037e-06,
"loss": 0.0502,
"step": 1030
},
{
"epoch": 42.44897959183673,
"grad_norm": 8.13757038116455,
"learning_rate": 7.4074074074074075e-06,
"loss": 0.1637,
"step": 1040
},
{
"epoch": 42.857142857142854,
"grad_norm": 0.8705015778541565,
"learning_rate": 6.944444444444445e-06,
"loss": 0.0329,
"step": 1050
},
{
"epoch": 42.97959183673469,
"eval_accuracy": 0.5,
"eval_loss": 2.639939069747925,
"eval_runtime": 4.1783,
"eval_samples_per_second": 5.265,
"eval_steps_per_second": 2.633,
"step": 1053
},
{
"epoch": 43.265306122448976,
"grad_norm": 0.7091279029846191,
"learning_rate": 6.481481481481481e-06,
"loss": 0.008,
"step": 1060
},
{
"epoch": 43.673469387755105,
"grad_norm": 0.27460241317749023,
"learning_rate": 6.0185185185185185e-06,
"loss": 0.0166,
"step": 1070
},
{
"epoch": 44.0,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.778676986694336,
"eval_runtime": 3.8444,
"eval_samples_per_second": 5.723,
"eval_steps_per_second": 2.861,
"step": 1078
},
{
"epoch": 44.08163265306123,
"grad_norm": 9.933192253112793,
"learning_rate": 5.555555555555556e-06,
"loss": 0.0275,
"step": 1080
},
{
"epoch": 44.48979591836735,
"grad_norm": 0.6145612001419067,
"learning_rate": 5.092592592592592e-06,
"loss": 0.0086,
"step": 1090
},
{
"epoch": 44.89795918367347,
"grad_norm": 0.030872033908963203,
"learning_rate": 4.6296296296296296e-06,
"loss": 0.0812,
"step": 1100
},
{
"epoch": 44.97959183673469,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.8176286220550537,
"eval_runtime": 3.7182,
"eval_samples_per_second": 5.917,
"eval_steps_per_second": 2.958,
"step": 1102
},
{
"epoch": 45.30612244897959,
"grad_norm": 0.21678821742534637,
"learning_rate": 4.166666666666667e-06,
"loss": 0.0005,
"step": 1110
},
{
"epoch": 45.714285714285715,
"grad_norm": 1.7509175539016724,
"learning_rate": 3.7037037037037037e-06,
"loss": 0.0197,
"step": 1120
},
{
"epoch": 46.0,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.804949998855591,
"eval_runtime": 3.8321,
"eval_samples_per_second": 5.741,
"eval_steps_per_second": 2.87,
"step": 1127
},
{
"epoch": 46.12244897959184,
"grad_norm": 0.18609049916267395,
"learning_rate": 3.2407407407407406e-06,
"loss": 0.2891,
"step": 1130
},
{
"epoch": 46.53061224489796,
"grad_norm": 0.7729312777519226,
"learning_rate": 2.777777777777778e-06,
"loss": 0.0178,
"step": 1140
},
{
"epoch": 46.93877551020408,
"grad_norm": 1.1792634725570679,
"learning_rate": 2.3148148148148148e-06,
"loss": 0.0989,
"step": 1150
},
{
"epoch": 46.97959183673469,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.7478928565979004,
"eval_runtime": 3.7127,
"eval_samples_per_second": 5.926,
"eval_steps_per_second": 2.963,
"step": 1151
},
{
"epoch": 47.3469387755102,
"grad_norm": 0.029640546068549156,
"learning_rate": 1.8518518518518519e-06,
"loss": 0.0158,
"step": 1160
},
{
"epoch": 47.755102040816325,
"grad_norm": 0.2686777412891388,
"learning_rate": 1.388888888888889e-06,
"loss": 0.054,
"step": 1170
},
{
"epoch": 48.0,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 2.761411190032959,
"eval_runtime": 3.8702,
"eval_samples_per_second": 5.684,
"eval_steps_per_second": 2.842,
"step": 1176
},
{
"epoch": 48.16326530612245,
"grad_norm": 0.17129023373126984,
"learning_rate": 9.259259259259259e-07,
"loss": 0.0709,
"step": 1180
},
{
"epoch": 48.57142857142857,
"grad_norm": 0.13873820006847382,
"learning_rate": 4.6296296296296297e-07,
"loss": 0.0133,
"step": 1190
},
{
"epoch": 48.97959183673469,
"grad_norm": 0.48775115609169006,
"learning_rate": 0.0,
"loss": 0.1095,
"step": 1200
},
{
"epoch": 48.97959183673469,
"eval_accuracy": 0.5,
"eval_loss": 2.7604033946990967,
"eval_runtime": 3.7642,
"eval_samples_per_second": 5.845,
"eval_steps_per_second": 2.922,
"step": 1200
},
{
"epoch": 48.97959183673469,
"step": 1200,
"total_flos": 2.374708462608384e+17,
"train_loss": 0.4113796023776134,
"train_runtime": 1728.9004,
"train_samples_per_second": 5.639,
"train_steps_per_second": 0.694
}
],
"logging_steps": 10,
"max_steps": 1200,
"num_input_tokens_seen": 0,
"num_train_epochs": 50,
"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": 2.374708462608384e+17,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}