BilalMuftuoglu's picture
End of training
2d4839b verified
raw
history blame contribute delete
No virus
29.9 kB
{
"best_metric": 0.8450704225352113,
"best_model_checkpoint": "deit-base-distilled-patch16-224-65-fold4/checkpoint-182",
"epoch": 92.3076923076923,
"eval_steps": 500,
"global_step": 300,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.9230769230769231,
"eval_accuracy": 0.5211267605633803,
"eval_loss": 0.7144731879234314,
"eval_runtime": 1.0188,
"eval_samples_per_second": 69.692,
"eval_steps_per_second": 2.945,
"step": 3
},
{
"epoch": 1.8461538461538463,
"eval_accuracy": 0.5070422535211268,
"eval_loss": 0.7082186341285706,
"eval_runtime": 0.9339,
"eval_samples_per_second": 76.023,
"eval_steps_per_second": 3.212,
"step": 6
},
{
"epoch": 2.769230769230769,
"eval_accuracy": 0.6056338028169014,
"eval_loss": 0.6889063715934753,
"eval_runtime": 0.9191,
"eval_samples_per_second": 77.245,
"eval_steps_per_second": 3.264,
"step": 9
},
{
"epoch": 3.076923076923077,
"grad_norm": 3.284947633743286,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.6878,
"step": 10
},
{
"epoch": 4.0,
"eval_accuracy": 0.6619718309859155,
"eval_loss": 0.6703165173530579,
"eval_runtime": 0.9363,
"eval_samples_per_second": 75.83,
"eval_steps_per_second": 3.204,
"step": 13
},
{
"epoch": 4.923076923076923,
"eval_accuracy": 0.676056338028169,
"eval_loss": 0.6556025743484497,
"eval_runtime": 0.9344,
"eval_samples_per_second": 75.984,
"eval_steps_per_second": 3.211,
"step": 16
},
{
"epoch": 5.846153846153846,
"eval_accuracy": 0.6619718309859155,
"eval_loss": 0.642956554889679,
"eval_runtime": 0.9474,
"eval_samples_per_second": 74.941,
"eval_steps_per_second": 3.167,
"step": 19
},
{
"epoch": 6.153846153846154,
"grad_norm": 5.985997676849365,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.6203,
"step": 20
},
{
"epoch": 6.769230769230769,
"eval_accuracy": 0.676056338028169,
"eval_loss": 0.6249927282333374,
"eval_runtime": 0.9539,
"eval_samples_per_second": 74.435,
"eval_steps_per_second": 3.145,
"step": 22
},
{
"epoch": 8.0,
"eval_accuracy": 0.6197183098591549,
"eval_loss": 0.7463871240615845,
"eval_runtime": 0.9471,
"eval_samples_per_second": 74.963,
"eval_steps_per_second": 3.167,
"step": 26
},
{
"epoch": 8.923076923076923,
"eval_accuracy": 0.6056338028169014,
"eval_loss": 0.6646994352340698,
"eval_runtime": 0.9245,
"eval_samples_per_second": 76.797,
"eval_steps_per_second": 3.245,
"step": 29
},
{
"epoch": 9.23076923076923,
"grad_norm": 7.882161617279053,
"learning_rate": 5e-05,
"loss": 0.5703,
"step": 30
},
{
"epoch": 9.846153846153847,
"eval_accuracy": 0.704225352112676,
"eval_loss": 0.6096706390380859,
"eval_runtime": 0.9619,
"eval_samples_per_second": 73.809,
"eval_steps_per_second": 3.119,
"step": 32
},
{
"epoch": 10.76923076923077,
"eval_accuracy": 0.6619718309859155,
"eval_loss": 0.6261224746704102,
"eval_runtime": 0.9396,
"eval_samples_per_second": 75.56,
"eval_steps_per_second": 3.193,
"step": 35
},
{
"epoch": 12.0,
"eval_accuracy": 0.704225352112676,
"eval_loss": 0.5925809741020203,
"eval_runtime": 0.9277,
"eval_samples_per_second": 76.537,
"eval_steps_per_second": 3.234,
"step": 39
},
{
"epoch": 12.307692307692308,
"grad_norm": 5.672287940979004,
"learning_rate": 4.814814814814815e-05,
"loss": 0.5281,
"step": 40
},
{
"epoch": 12.923076923076923,
"eval_accuracy": 0.7464788732394366,
"eval_loss": 0.5370251536369324,
"eval_runtime": 0.9419,
"eval_samples_per_second": 75.378,
"eval_steps_per_second": 3.185,
"step": 42
},
{
"epoch": 13.846153846153847,
"eval_accuracy": 0.7464788732394366,
"eval_loss": 0.5637533664703369,
"eval_runtime": 0.9264,
"eval_samples_per_second": 76.638,
"eval_steps_per_second": 3.238,
"step": 45
},
{
"epoch": 14.76923076923077,
"eval_accuracy": 0.6056338028169014,
"eval_loss": 0.7175151109695435,
"eval_runtime": 0.9684,
"eval_samples_per_second": 73.32,
"eval_steps_per_second": 3.098,
"step": 48
},
{
"epoch": 15.384615384615385,
"grad_norm": 7.855106830596924,
"learning_rate": 4.62962962962963e-05,
"loss": 0.4616,
"step": 50
},
{
"epoch": 16.0,
"eval_accuracy": 0.5774647887323944,
"eval_loss": 0.8917320966720581,
"eval_runtime": 0.9446,
"eval_samples_per_second": 75.161,
"eval_steps_per_second": 3.176,
"step": 52
},
{
"epoch": 16.923076923076923,
"eval_accuracy": 0.676056338028169,
"eval_loss": 0.6760779023170471,
"eval_runtime": 0.9228,
"eval_samples_per_second": 76.943,
"eval_steps_per_second": 3.251,
"step": 55
},
{
"epoch": 17.846153846153847,
"eval_accuracy": 0.7323943661971831,
"eval_loss": 0.5606212019920349,
"eval_runtime": 0.9447,
"eval_samples_per_second": 75.157,
"eval_steps_per_second": 3.176,
"step": 58
},
{
"epoch": 18.46153846153846,
"grad_norm": 5.475687503814697,
"learning_rate": 4.4444444444444447e-05,
"loss": 0.4943,
"step": 60
},
{
"epoch": 18.76923076923077,
"eval_accuracy": 0.6338028169014085,
"eval_loss": 0.696312427520752,
"eval_runtime": 0.9291,
"eval_samples_per_second": 76.418,
"eval_steps_per_second": 3.229,
"step": 61
},
{
"epoch": 20.0,
"eval_accuracy": 0.6619718309859155,
"eval_loss": 0.6461552977561951,
"eval_runtime": 0.9441,
"eval_samples_per_second": 75.207,
"eval_steps_per_second": 3.178,
"step": 65
},
{
"epoch": 20.923076923076923,
"eval_accuracy": 0.7183098591549296,
"eval_loss": 0.6246035695075989,
"eval_runtime": 0.9435,
"eval_samples_per_second": 75.251,
"eval_steps_per_second": 3.18,
"step": 68
},
{
"epoch": 21.53846153846154,
"grad_norm": 4.991897106170654,
"learning_rate": 4.259259259259259e-05,
"loss": 0.4058,
"step": 70
},
{
"epoch": 21.846153846153847,
"eval_accuracy": 0.6619718309859155,
"eval_loss": 0.7336124181747437,
"eval_runtime": 0.9352,
"eval_samples_per_second": 75.921,
"eval_steps_per_second": 3.208,
"step": 71
},
{
"epoch": 22.76923076923077,
"eval_accuracy": 0.7323943661971831,
"eval_loss": 0.6270064115524292,
"eval_runtime": 0.9384,
"eval_samples_per_second": 75.658,
"eval_steps_per_second": 3.197,
"step": 74
},
{
"epoch": 24.0,
"eval_accuracy": 0.7183098591549296,
"eval_loss": 0.6096646189689636,
"eval_runtime": 0.941,
"eval_samples_per_second": 75.453,
"eval_steps_per_second": 3.188,
"step": 78
},
{
"epoch": 24.615384615384617,
"grad_norm": 4.380879878997803,
"learning_rate": 4.074074074074074e-05,
"loss": 0.3577,
"step": 80
},
{
"epoch": 24.923076923076923,
"eval_accuracy": 0.7605633802816901,
"eval_loss": 0.6699813008308411,
"eval_runtime": 0.9378,
"eval_samples_per_second": 75.708,
"eval_steps_per_second": 3.199,
"step": 81
},
{
"epoch": 25.846153846153847,
"eval_accuracy": 0.7183098591549296,
"eval_loss": 0.6676053404808044,
"eval_runtime": 0.9357,
"eval_samples_per_second": 75.876,
"eval_steps_per_second": 3.206,
"step": 84
},
{
"epoch": 26.76923076923077,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.5475191473960876,
"eval_runtime": 0.9411,
"eval_samples_per_second": 75.444,
"eval_steps_per_second": 3.188,
"step": 87
},
{
"epoch": 27.692307692307693,
"grad_norm": 2.8975579738616943,
"learning_rate": 3.888888888888889e-05,
"loss": 0.2988,
"step": 90
},
{
"epoch": 28.0,
"eval_accuracy": 0.8028169014084507,
"eval_loss": 0.5382919311523438,
"eval_runtime": 0.9412,
"eval_samples_per_second": 75.435,
"eval_steps_per_second": 3.187,
"step": 91
},
{
"epoch": 28.923076923076923,
"eval_accuracy": 0.7183098591549296,
"eval_loss": 0.5533848404884338,
"eval_runtime": 0.9288,
"eval_samples_per_second": 76.444,
"eval_steps_per_second": 3.23,
"step": 94
},
{
"epoch": 29.846153846153847,
"eval_accuracy": 0.8028169014084507,
"eval_loss": 0.5842180252075195,
"eval_runtime": 0.9277,
"eval_samples_per_second": 76.533,
"eval_steps_per_second": 3.234,
"step": 97
},
{
"epoch": 30.76923076923077,
"grad_norm": 3.0538382530212402,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.2595,
"step": 100
},
{
"epoch": 30.76923076923077,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.5964645743370056,
"eval_runtime": 0.9103,
"eval_samples_per_second": 77.994,
"eval_steps_per_second": 3.296,
"step": 100
},
{
"epoch": 32.0,
"eval_accuracy": 0.7605633802816901,
"eval_loss": 0.6219843626022339,
"eval_runtime": 0.9431,
"eval_samples_per_second": 75.281,
"eval_steps_per_second": 3.181,
"step": 104
},
{
"epoch": 32.92307692307692,
"eval_accuracy": 0.7605633802816901,
"eval_loss": 0.6026638150215149,
"eval_runtime": 0.9477,
"eval_samples_per_second": 74.916,
"eval_steps_per_second": 3.165,
"step": 107
},
{
"epoch": 33.84615384615385,
"grad_norm": 3.94685959815979,
"learning_rate": 3.518518518518519e-05,
"loss": 0.2422,
"step": 110
},
{
"epoch": 33.84615384615385,
"eval_accuracy": 0.7183098591549296,
"eval_loss": 0.6368895769119263,
"eval_runtime": 0.9216,
"eval_samples_per_second": 77.044,
"eval_steps_per_second": 3.255,
"step": 110
},
{
"epoch": 34.76923076923077,
"eval_accuracy": 0.7746478873239436,
"eval_loss": 0.6033357381820679,
"eval_runtime": 0.9401,
"eval_samples_per_second": 75.526,
"eval_steps_per_second": 3.191,
"step": 113
},
{
"epoch": 36.0,
"eval_accuracy": 0.7323943661971831,
"eval_loss": 0.6912439465522766,
"eval_runtime": 0.9337,
"eval_samples_per_second": 76.043,
"eval_steps_per_second": 3.213,
"step": 117
},
{
"epoch": 36.92307692307692,
"grad_norm": 1.8390007019042969,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.1927,
"step": 120
},
{
"epoch": 36.92307692307692,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.6582470536231995,
"eval_runtime": 0.9394,
"eval_samples_per_second": 75.581,
"eval_steps_per_second": 3.194,
"step": 120
},
{
"epoch": 37.84615384615385,
"eval_accuracy": 0.7746478873239436,
"eval_loss": 0.6320064067840576,
"eval_runtime": 0.9433,
"eval_samples_per_second": 75.271,
"eval_steps_per_second": 3.18,
"step": 123
},
{
"epoch": 38.76923076923077,
"eval_accuracy": 0.7605633802816901,
"eval_loss": 0.753158450126648,
"eval_runtime": 0.9223,
"eval_samples_per_second": 76.983,
"eval_steps_per_second": 3.253,
"step": 126
},
{
"epoch": 40.0,
"grad_norm": 8.522945404052734,
"learning_rate": 3.148148148148148e-05,
"loss": 0.2399,
"step": 130
},
{
"epoch": 40.0,
"eval_accuracy": 0.7605633802816901,
"eval_loss": 0.7909286618232727,
"eval_runtime": 0.9385,
"eval_samples_per_second": 75.651,
"eval_steps_per_second": 3.197,
"step": 130
},
{
"epoch": 40.92307692307692,
"eval_accuracy": 0.7464788732394366,
"eval_loss": 0.6808232665061951,
"eval_runtime": 0.929,
"eval_samples_per_second": 76.424,
"eval_steps_per_second": 3.229,
"step": 133
},
{
"epoch": 41.84615384615385,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.5815951824188232,
"eval_runtime": 0.9333,
"eval_samples_per_second": 76.072,
"eval_steps_per_second": 3.214,
"step": 136
},
{
"epoch": 42.76923076923077,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.5473891496658325,
"eval_runtime": 0.9353,
"eval_samples_per_second": 75.912,
"eval_steps_per_second": 3.208,
"step": 139
},
{
"epoch": 43.07692307692308,
"grad_norm": 3.9758527278900146,
"learning_rate": 2.962962962962963e-05,
"loss": 0.2218,
"step": 140
},
{
"epoch": 44.0,
"eval_accuracy": 0.704225352112676,
"eval_loss": 0.6309952139854431,
"eval_runtime": 0.9488,
"eval_samples_per_second": 74.835,
"eval_steps_per_second": 3.162,
"step": 143
},
{
"epoch": 44.92307692307692,
"eval_accuracy": 0.8028169014084507,
"eval_loss": 0.6452985405921936,
"eval_runtime": 0.9466,
"eval_samples_per_second": 75.001,
"eval_steps_per_second": 3.169,
"step": 146
},
{
"epoch": 45.84615384615385,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.616996169090271,
"eval_runtime": 0.934,
"eval_samples_per_second": 76.018,
"eval_steps_per_second": 3.212,
"step": 149
},
{
"epoch": 46.15384615384615,
"grad_norm": 3.51767635345459,
"learning_rate": 2.777777777777778e-05,
"loss": 0.1817,
"step": 150
},
{
"epoch": 46.76923076923077,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.603383481502533,
"eval_runtime": 0.9385,
"eval_samples_per_second": 75.653,
"eval_steps_per_second": 3.197,
"step": 152
},
{
"epoch": 48.0,
"eval_accuracy": 0.8309859154929577,
"eval_loss": 0.6349979043006897,
"eval_runtime": 0.9472,
"eval_samples_per_second": 74.957,
"eval_steps_per_second": 3.167,
"step": 156
},
{
"epoch": 48.92307692307692,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.6026537418365479,
"eval_runtime": 0.9329,
"eval_samples_per_second": 76.103,
"eval_steps_per_second": 3.216,
"step": 159
},
{
"epoch": 49.23076923076923,
"grad_norm": 2.8314857482910156,
"learning_rate": 2.5925925925925925e-05,
"loss": 0.1483,
"step": 160
},
{
"epoch": 49.84615384615385,
"eval_accuracy": 0.8028169014084507,
"eval_loss": 0.559914767742157,
"eval_runtime": 0.9519,
"eval_samples_per_second": 74.59,
"eval_steps_per_second": 3.152,
"step": 162
},
{
"epoch": 50.76923076923077,
"eval_accuracy": 0.8309859154929577,
"eval_loss": 0.5817492604255676,
"eval_runtime": 0.9277,
"eval_samples_per_second": 76.537,
"eval_steps_per_second": 3.234,
"step": 165
},
{
"epoch": 52.0,
"eval_accuracy": 0.7746478873239436,
"eval_loss": 0.6085928082466125,
"eval_runtime": 0.9365,
"eval_samples_per_second": 75.816,
"eval_steps_per_second": 3.203,
"step": 169
},
{
"epoch": 52.30769230769231,
"grad_norm": 4.343232154846191,
"learning_rate": 2.4074074074074074e-05,
"loss": 0.1668,
"step": 170
},
{
"epoch": 52.92307692307692,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.5743552446365356,
"eval_runtime": 0.9412,
"eval_samples_per_second": 75.439,
"eval_steps_per_second": 3.188,
"step": 172
},
{
"epoch": 53.84615384615385,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.605885922908783,
"eval_runtime": 0.9418,
"eval_samples_per_second": 75.387,
"eval_steps_per_second": 3.185,
"step": 175
},
{
"epoch": 54.76923076923077,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.6454694867134094,
"eval_runtime": 0.9437,
"eval_samples_per_second": 75.239,
"eval_steps_per_second": 3.179,
"step": 178
},
{
"epoch": 55.38461538461539,
"grad_norm": 4.7387166023254395,
"learning_rate": 2.2222222222222223e-05,
"loss": 0.1372,
"step": 180
},
{
"epoch": 56.0,
"eval_accuracy": 0.8450704225352113,
"eval_loss": 0.5367295145988464,
"eval_runtime": 0.9301,
"eval_samples_per_second": 76.34,
"eval_steps_per_second": 3.226,
"step": 182
},
{
"epoch": 56.92307692307692,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.5615168213844299,
"eval_runtime": 0.9333,
"eval_samples_per_second": 76.074,
"eval_steps_per_second": 3.214,
"step": 185
},
{
"epoch": 57.84615384615385,
"eval_accuracy": 0.8028169014084507,
"eval_loss": 0.6377549767494202,
"eval_runtime": 0.9271,
"eval_samples_per_second": 76.581,
"eval_steps_per_second": 3.236,
"step": 188
},
{
"epoch": 58.46153846153846,
"grad_norm": 3.1127660274505615,
"learning_rate": 2.037037037037037e-05,
"loss": 0.1485,
"step": 190
},
{
"epoch": 58.76923076923077,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.5687428116798401,
"eval_runtime": 0.9342,
"eval_samples_per_second": 75.999,
"eval_steps_per_second": 3.211,
"step": 191
},
{
"epoch": 60.0,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.48974475264549255,
"eval_runtime": 0.9499,
"eval_samples_per_second": 74.743,
"eval_steps_per_second": 3.158,
"step": 195
},
{
"epoch": 60.92307692307692,
"eval_accuracy": 0.8450704225352113,
"eval_loss": 0.43841129541397095,
"eval_runtime": 0.9329,
"eval_samples_per_second": 76.104,
"eval_steps_per_second": 3.216,
"step": 198
},
{
"epoch": 61.53846153846154,
"grad_norm": 2.5722365379333496,
"learning_rate": 1.8518518518518518e-05,
"loss": 0.1426,
"step": 200
},
{
"epoch": 61.84615384615385,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.5086758732795715,
"eval_runtime": 0.9371,
"eval_samples_per_second": 75.766,
"eval_steps_per_second": 3.201,
"step": 201
},
{
"epoch": 62.76923076923077,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.47570785880088806,
"eval_runtime": 0.935,
"eval_samples_per_second": 75.939,
"eval_steps_per_second": 3.209,
"step": 204
},
{
"epoch": 64.0,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.4372512102127075,
"eval_runtime": 0.9455,
"eval_samples_per_second": 75.095,
"eval_steps_per_second": 3.173,
"step": 208
},
{
"epoch": 64.61538461538461,
"grad_norm": 3.0248568058013916,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.1333,
"step": 210
},
{
"epoch": 64.92307692307692,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.4512348473072052,
"eval_runtime": 0.9662,
"eval_samples_per_second": 73.486,
"eval_steps_per_second": 3.105,
"step": 211
},
{
"epoch": 65.84615384615384,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.4619483947753906,
"eval_runtime": 0.9227,
"eval_samples_per_second": 76.949,
"eval_steps_per_second": 3.251,
"step": 214
},
{
"epoch": 66.76923076923077,
"eval_accuracy": 0.8028169014084507,
"eval_loss": 0.5519948601722717,
"eval_runtime": 0.9387,
"eval_samples_per_second": 75.634,
"eval_steps_per_second": 3.196,
"step": 217
},
{
"epoch": 67.6923076923077,
"grad_norm": 3.7715258598327637,
"learning_rate": 1.4814814814814815e-05,
"loss": 0.1306,
"step": 220
},
{
"epoch": 68.0,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.5160856246948242,
"eval_runtime": 0.9414,
"eval_samples_per_second": 75.417,
"eval_steps_per_second": 3.187,
"step": 221
},
{
"epoch": 68.92307692307692,
"eval_accuracy": 0.7605633802816901,
"eval_loss": 0.5180492401123047,
"eval_runtime": 0.9311,
"eval_samples_per_second": 76.252,
"eval_steps_per_second": 3.222,
"step": 224
},
{
"epoch": 69.84615384615384,
"eval_accuracy": 0.8028169014084507,
"eval_loss": 0.5777754783630371,
"eval_runtime": 0.9362,
"eval_samples_per_second": 75.843,
"eval_steps_per_second": 3.205,
"step": 227
},
{
"epoch": 70.76923076923077,
"grad_norm": 2.9611454010009766,
"learning_rate": 1.2962962962962962e-05,
"loss": 0.1327,
"step": 230
},
{
"epoch": 70.76923076923077,
"eval_accuracy": 0.8028169014084507,
"eval_loss": 0.593269407749176,
"eval_runtime": 0.9395,
"eval_samples_per_second": 75.57,
"eval_steps_per_second": 3.193,
"step": 230
},
{
"epoch": 72.0,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.5222498178482056,
"eval_runtime": 0.9354,
"eval_samples_per_second": 75.903,
"eval_steps_per_second": 3.207,
"step": 234
},
{
"epoch": 72.92307692307692,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.5103858709335327,
"eval_runtime": 0.941,
"eval_samples_per_second": 75.455,
"eval_steps_per_second": 3.188,
"step": 237
},
{
"epoch": 73.84615384615384,
"grad_norm": 2.8741390705108643,
"learning_rate": 1.1111111111111112e-05,
"loss": 0.1171,
"step": 240
},
{
"epoch": 73.84615384615384,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.5024046301841736,
"eval_runtime": 0.943,
"eval_samples_per_second": 75.292,
"eval_steps_per_second": 3.181,
"step": 240
},
{
"epoch": 74.76923076923077,
"eval_accuracy": 0.8028169014084507,
"eval_loss": 0.50595623254776,
"eval_runtime": 0.944,
"eval_samples_per_second": 75.213,
"eval_steps_per_second": 3.178,
"step": 243
},
{
"epoch": 76.0,
"eval_accuracy": 0.7746478873239436,
"eval_loss": 0.5267102718353271,
"eval_runtime": 0.937,
"eval_samples_per_second": 75.772,
"eval_steps_per_second": 3.202,
"step": 247
},
{
"epoch": 76.92307692307692,
"grad_norm": 3.9980766773223877,
"learning_rate": 9.259259259259259e-06,
"loss": 0.1227,
"step": 250
},
{
"epoch": 76.92307692307692,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.4774617552757263,
"eval_runtime": 0.9456,
"eval_samples_per_second": 75.082,
"eval_steps_per_second": 3.172,
"step": 250
},
{
"epoch": 77.84615384615384,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.5019908547401428,
"eval_runtime": 0.9328,
"eval_samples_per_second": 76.116,
"eval_steps_per_second": 3.216,
"step": 253
},
{
"epoch": 78.76923076923077,
"eval_accuracy": 0.7605633802816901,
"eval_loss": 0.5243141651153564,
"eval_runtime": 0.9369,
"eval_samples_per_second": 75.782,
"eval_steps_per_second": 3.202,
"step": 256
},
{
"epoch": 80.0,
"grad_norm": 5.15329647064209,
"learning_rate": 7.4074074074074075e-06,
"loss": 0.1304,
"step": 260
},
{
"epoch": 80.0,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.6195448637008667,
"eval_runtime": 0.9685,
"eval_samples_per_second": 73.307,
"eval_steps_per_second": 3.097,
"step": 260
},
{
"epoch": 80.92307692307692,
"eval_accuracy": 0.7605633802816901,
"eval_loss": 0.5740300416946411,
"eval_runtime": 0.9291,
"eval_samples_per_second": 76.417,
"eval_steps_per_second": 3.229,
"step": 263
},
{
"epoch": 81.84615384615384,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.5652071237564087,
"eval_runtime": 0.9331,
"eval_samples_per_second": 76.091,
"eval_steps_per_second": 3.215,
"step": 266
},
{
"epoch": 82.76923076923077,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.5749574303627014,
"eval_runtime": 0.9389,
"eval_samples_per_second": 75.618,
"eval_steps_per_second": 3.195,
"step": 269
},
{
"epoch": 83.07692307692308,
"grad_norm": 2.7778007984161377,
"learning_rate": 5.555555555555556e-06,
"loss": 0.1152,
"step": 270
},
{
"epoch": 84.0,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.5829400420188904,
"eval_runtime": 0.9675,
"eval_samples_per_second": 73.381,
"eval_steps_per_second": 3.101,
"step": 273
},
{
"epoch": 84.92307692307692,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.5853610038757324,
"eval_runtime": 0.9581,
"eval_samples_per_second": 74.104,
"eval_steps_per_second": 3.131,
"step": 276
},
{
"epoch": 85.84615384615384,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.5853627324104309,
"eval_runtime": 0.9385,
"eval_samples_per_second": 75.649,
"eval_steps_per_second": 3.196,
"step": 279
},
{
"epoch": 86.15384615384616,
"grad_norm": 2.607625722885132,
"learning_rate": 3.7037037037037037e-06,
"loss": 0.1069,
"step": 280
},
{
"epoch": 86.76923076923077,
"eval_accuracy": 0.8028169014084507,
"eval_loss": 0.5825924277305603,
"eval_runtime": 0.9377,
"eval_samples_per_second": 75.72,
"eval_steps_per_second": 3.199,
"step": 282
},
{
"epoch": 88.0,
"eval_accuracy": 0.7887323943661971,
"eval_loss": 0.5838791728019714,
"eval_runtime": 0.9668,
"eval_samples_per_second": 73.437,
"eval_steps_per_second": 3.103,
"step": 286
},
{
"epoch": 88.92307692307692,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.5792059898376465,
"eval_runtime": 0.9421,
"eval_samples_per_second": 75.36,
"eval_steps_per_second": 3.184,
"step": 289
},
{
"epoch": 89.23076923076923,
"grad_norm": 3.399799108505249,
"learning_rate": 1.8518518518518519e-06,
"loss": 0.122,
"step": 290
},
{
"epoch": 89.84615384615384,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.5755288600921631,
"eval_runtime": 0.9561,
"eval_samples_per_second": 74.263,
"eval_steps_per_second": 3.138,
"step": 292
},
{
"epoch": 90.76923076923077,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.5751092433929443,
"eval_runtime": 0.9263,
"eval_samples_per_second": 76.65,
"eval_steps_per_second": 3.239,
"step": 295
},
{
"epoch": 92.0,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.5747934579849243,
"eval_runtime": 0.9473,
"eval_samples_per_second": 74.952,
"eval_steps_per_second": 3.167,
"step": 299
},
{
"epoch": 92.3076923076923,
"grad_norm": 2.51318621635437,
"learning_rate": 0.0,
"loss": 0.1268,
"step": 300
},
{
"epoch": 92.3076923076923,
"eval_accuracy": 0.8169014084507042,
"eval_loss": 0.5748143196105957,
"eval_runtime": 0.9381,
"eval_samples_per_second": 75.682,
"eval_steps_per_second": 3.198,
"step": 300
},
{
"epoch": 92.3076923076923,
"step": 300,
"total_flos": 2.8402872494292173e+18,
"train_loss": 0.25812069336573285,
"train_runtime": 1594.5895,
"train_samples_per_second": 24.897,
"train_steps_per_second": 0.188
},
{
"epoch": 92.3076923076923,
"eval_accuracy": 0.8450704225352113,
"eval_loss": 0.5367295145988464,
"eval_runtime": 0.9601,
"eval_samples_per_second": 73.951,
"eval_steps_per_second": 3.125,
"step": 300
}
],
"logging_steps": 10,
"max_steps": 300,
"num_input_tokens_seen": 0,
"num_train_epochs": 100,
"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": 2.8402872494292173e+18,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}