BilalMuftuoglu's picture
End of training
55be82c verified
{
"best_metric": 0.6666666666666666,
"best_model_checkpoint": "deit-base-distilled-patch16-224-hasta-55-fold2/checkpoint-89",
"epoch": 57.142857142857146,
"eval_steps": 500,
"global_step": 100,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.5714285714285714,
"eval_accuracy": 0.3611111111111111,
"eval_loss": 1.3240900039672852,
"eval_runtime": 0.5104,
"eval_samples_per_second": 70.53,
"eval_steps_per_second": 3.918,
"step": 1
},
{
"epoch": 1.7142857142857144,
"eval_accuracy": 0.3055555555555556,
"eval_loss": 1.1597557067871094,
"eval_runtime": 0.5022,
"eval_samples_per_second": 71.682,
"eval_steps_per_second": 3.982,
"step": 3
},
{
"epoch": 2.857142857142857,
"eval_accuracy": 0.3888888888888889,
"eval_loss": 1.192773699760437,
"eval_runtime": 0.5084,
"eval_samples_per_second": 70.809,
"eval_steps_per_second": 3.934,
"step": 5
},
{
"epoch": 4.0,
"eval_accuracy": 0.3333333333333333,
"eval_loss": 1.1229112148284912,
"eval_runtime": 0.5131,
"eval_samples_per_second": 70.162,
"eval_steps_per_second": 3.898,
"step": 7
},
{
"epoch": 4.571428571428571,
"eval_accuracy": 0.3333333333333333,
"eval_loss": 1.111149787902832,
"eval_runtime": 0.5069,
"eval_samples_per_second": 71.02,
"eval_steps_per_second": 3.946,
"step": 8
},
{
"epoch": 5.714285714285714,
"grad_norm": 2.360438108444214,
"learning_rate": 5e-05,
"loss": 1.13,
"step": 10
},
{
"epoch": 5.714285714285714,
"eval_accuracy": 0.3611111111111111,
"eval_loss": 1.1062475442886353,
"eval_runtime": 0.493,
"eval_samples_per_second": 73.017,
"eval_steps_per_second": 4.056,
"step": 10
},
{
"epoch": 6.857142857142857,
"eval_accuracy": 0.4722222222222222,
"eval_loss": 1.0655484199523926,
"eval_runtime": 0.4943,
"eval_samples_per_second": 72.825,
"eval_steps_per_second": 4.046,
"step": 12
},
{
"epoch": 8.0,
"eval_accuracy": 0.3888888888888889,
"eval_loss": 1.0526686906814575,
"eval_runtime": 0.5085,
"eval_samples_per_second": 70.799,
"eval_steps_per_second": 3.933,
"step": 14
},
{
"epoch": 8.571428571428571,
"eval_accuracy": 0.4444444444444444,
"eval_loss": 1.0448135137557983,
"eval_runtime": 0.4842,
"eval_samples_per_second": 74.357,
"eval_steps_per_second": 4.131,
"step": 15
},
{
"epoch": 9.714285714285714,
"eval_accuracy": 0.5555555555555556,
"eval_loss": 0.9955484867095947,
"eval_runtime": 0.4943,
"eval_samples_per_second": 72.838,
"eval_steps_per_second": 4.047,
"step": 17
},
{
"epoch": 10.857142857142858,
"eval_accuracy": 0.5555555555555556,
"eval_loss": 0.9818601608276367,
"eval_runtime": 0.4991,
"eval_samples_per_second": 72.131,
"eval_steps_per_second": 4.007,
"step": 19
},
{
"epoch": 11.428571428571429,
"grad_norm": 4.555427074432373,
"learning_rate": 4.4444444444444447e-05,
"loss": 0.9629,
"step": 20
},
{
"epoch": 12.0,
"eval_accuracy": 0.5,
"eval_loss": 0.9722151160240173,
"eval_runtime": 0.515,
"eval_samples_per_second": 69.903,
"eval_steps_per_second": 3.884,
"step": 21
},
{
"epoch": 12.571428571428571,
"eval_accuracy": 0.4444444444444444,
"eval_loss": 0.9777337312698364,
"eval_runtime": 0.5112,
"eval_samples_per_second": 70.422,
"eval_steps_per_second": 3.912,
"step": 22
},
{
"epoch": 13.714285714285714,
"eval_accuracy": 0.5555555555555556,
"eval_loss": 0.9125936031341553,
"eval_runtime": 0.5049,
"eval_samples_per_second": 71.306,
"eval_steps_per_second": 3.961,
"step": 24
},
{
"epoch": 14.857142857142858,
"eval_accuracy": 0.5555555555555556,
"eval_loss": 0.9931738972663879,
"eval_runtime": 0.4932,
"eval_samples_per_second": 72.999,
"eval_steps_per_second": 4.055,
"step": 26
},
{
"epoch": 16.0,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 0.9945557713508606,
"eval_runtime": 0.4975,
"eval_samples_per_second": 72.361,
"eval_steps_per_second": 4.02,
"step": 28
},
{
"epoch": 16.571428571428573,
"eval_accuracy": 0.5555555555555556,
"eval_loss": 0.9689527153968811,
"eval_runtime": 0.4915,
"eval_samples_per_second": 73.247,
"eval_steps_per_second": 4.069,
"step": 29
},
{
"epoch": 17.142857142857142,
"grad_norm": 5.037437915802002,
"learning_rate": 3.888888888888889e-05,
"loss": 0.822,
"step": 30
},
{
"epoch": 17.714285714285715,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 0.9163329005241394,
"eval_runtime": 0.5011,
"eval_samples_per_second": 71.847,
"eval_steps_per_second": 3.992,
"step": 31
},
{
"epoch": 18.857142857142858,
"eval_accuracy": 0.6388888888888888,
"eval_loss": 0.9798648357391357,
"eval_runtime": 0.5146,
"eval_samples_per_second": 69.964,
"eval_steps_per_second": 3.887,
"step": 33
},
{
"epoch": 20.0,
"eval_accuracy": 0.6388888888888888,
"eval_loss": 0.927280843257904,
"eval_runtime": 0.5069,
"eval_samples_per_second": 71.026,
"eval_steps_per_second": 3.946,
"step": 35
},
{
"epoch": 20.571428571428573,
"eval_accuracy": 0.6388888888888888,
"eval_loss": 0.9007765650749207,
"eval_runtime": 0.5031,
"eval_samples_per_second": 71.557,
"eval_steps_per_second": 3.975,
"step": 36
},
{
"epoch": 21.714285714285715,
"eval_accuracy": 0.5,
"eval_loss": 1.0304814577102661,
"eval_runtime": 0.5055,
"eval_samples_per_second": 71.219,
"eval_steps_per_second": 3.957,
"step": 38
},
{
"epoch": 22.857142857142858,
"grad_norm": 4.266380786895752,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.7066,
"step": 40
},
{
"epoch": 22.857142857142858,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 0.9330142140388489,
"eval_runtime": 0.4996,
"eval_samples_per_second": 72.058,
"eval_steps_per_second": 4.003,
"step": 40
},
{
"epoch": 24.0,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 0.9151402711868286,
"eval_runtime": 0.496,
"eval_samples_per_second": 72.587,
"eval_steps_per_second": 4.033,
"step": 42
},
{
"epoch": 24.571428571428573,
"eval_accuracy": 0.6111111111111112,
"eval_loss": 0.9213579893112183,
"eval_runtime": 0.5032,
"eval_samples_per_second": 71.546,
"eval_steps_per_second": 3.975,
"step": 43
},
{
"epoch": 25.714285714285715,
"eval_accuracy": 0.6111111111111112,
"eval_loss": 0.9322340488433838,
"eval_runtime": 0.5005,
"eval_samples_per_second": 71.923,
"eval_steps_per_second": 3.996,
"step": 45
},
{
"epoch": 26.857142857142858,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 1.0533533096313477,
"eval_runtime": 0.5031,
"eval_samples_per_second": 71.554,
"eval_steps_per_second": 3.975,
"step": 47
},
{
"epoch": 28.0,
"eval_accuracy": 0.5555555555555556,
"eval_loss": 1.1222937107086182,
"eval_runtime": 0.5022,
"eval_samples_per_second": 71.683,
"eval_steps_per_second": 3.982,
"step": 49
},
{
"epoch": 28.571428571428573,
"grad_norm": 4.958626747131348,
"learning_rate": 2.777777777777778e-05,
"loss": 0.5702,
"step": 50
},
{
"epoch": 28.571428571428573,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 1.0080817937850952,
"eval_runtime": 0.5117,
"eval_samples_per_second": 70.357,
"eval_steps_per_second": 3.909,
"step": 50
},
{
"epoch": 29.714285714285715,
"eval_accuracy": 0.6388888888888888,
"eval_loss": 0.8680193424224854,
"eval_runtime": 0.5019,
"eval_samples_per_second": 71.721,
"eval_steps_per_second": 3.984,
"step": 52
},
{
"epoch": 30.857142857142858,
"eval_accuracy": 0.6111111111111112,
"eval_loss": 0.9258506298065186,
"eval_runtime": 0.5016,
"eval_samples_per_second": 71.769,
"eval_steps_per_second": 3.987,
"step": 54
},
{
"epoch": 32.0,
"eval_accuracy": 0.6111111111111112,
"eval_loss": 0.9936321973800659,
"eval_runtime": 0.4931,
"eval_samples_per_second": 73.009,
"eval_steps_per_second": 4.056,
"step": 56
},
{
"epoch": 32.57142857142857,
"eval_accuracy": 0.6111111111111112,
"eval_loss": 0.97624272108078,
"eval_runtime": 0.4976,
"eval_samples_per_second": 72.352,
"eval_steps_per_second": 4.02,
"step": 57
},
{
"epoch": 33.714285714285715,
"eval_accuracy": 0.6111111111111112,
"eval_loss": 0.9298437833786011,
"eval_runtime": 0.5064,
"eval_samples_per_second": 71.096,
"eval_steps_per_second": 3.95,
"step": 59
},
{
"epoch": 34.285714285714285,
"grad_norm": 3.622584342956543,
"learning_rate": 2.2222222222222223e-05,
"loss": 0.4903,
"step": 60
},
{
"epoch": 34.857142857142854,
"eval_accuracy": 0.6111111111111112,
"eval_loss": 0.9352247714996338,
"eval_runtime": 0.5084,
"eval_samples_per_second": 70.807,
"eval_steps_per_second": 3.934,
"step": 61
},
{
"epoch": 36.0,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 0.9918670654296875,
"eval_runtime": 0.4987,
"eval_samples_per_second": 72.181,
"eval_steps_per_second": 4.01,
"step": 63
},
{
"epoch": 36.57142857142857,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 0.9660681486129761,
"eval_runtime": 0.4985,
"eval_samples_per_second": 72.222,
"eval_steps_per_second": 4.012,
"step": 64
},
{
"epoch": 37.714285714285715,
"eval_accuracy": 0.6388888888888888,
"eval_loss": 0.9763928651809692,
"eval_runtime": 0.4967,
"eval_samples_per_second": 72.481,
"eval_steps_per_second": 4.027,
"step": 66
},
{
"epoch": 38.857142857142854,
"eval_accuracy": 0.6388888888888888,
"eval_loss": 0.9909236431121826,
"eval_runtime": 0.5073,
"eval_samples_per_second": 70.958,
"eval_steps_per_second": 3.942,
"step": 68
},
{
"epoch": 40.0,
"grad_norm": 5.279661178588867,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.3959,
"step": 70
},
{
"epoch": 40.0,
"eval_accuracy": 0.6388888888888888,
"eval_loss": 0.9905844926834106,
"eval_runtime": 0.5026,
"eval_samples_per_second": 71.632,
"eval_steps_per_second": 3.98,
"step": 70
},
{
"epoch": 40.57142857142857,
"eval_accuracy": 0.6388888888888888,
"eval_loss": 0.9788994193077087,
"eval_runtime": 0.5022,
"eval_samples_per_second": 71.686,
"eval_steps_per_second": 3.983,
"step": 71
},
{
"epoch": 41.714285714285715,
"eval_accuracy": 0.6388888888888888,
"eval_loss": 0.9528616666793823,
"eval_runtime": 0.5003,
"eval_samples_per_second": 71.955,
"eval_steps_per_second": 3.998,
"step": 73
},
{
"epoch": 42.857142857142854,
"eval_accuracy": 0.6388888888888888,
"eval_loss": 0.9729149341583252,
"eval_runtime": 0.4998,
"eval_samples_per_second": 72.031,
"eval_steps_per_second": 4.002,
"step": 75
},
{
"epoch": 44.0,
"eval_accuracy": 0.6111111111111112,
"eval_loss": 1.0425068140029907,
"eval_runtime": 0.5045,
"eval_samples_per_second": 71.364,
"eval_steps_per_second": 3.965,
"step": 77
},
{
"epoch": 44.57142857142857,
"eval_accuracy": 0.6111111111111112,
"eval_loss": 1.0531220436096191,
"eval_runtime": 0.5005,
"eval_samples_per_second": 71.935,
"eval_steps_per_second": 3.996,
"step": 78
},
{
"epoch": 45.714285714285715,
"grad_norm": 4.175187110900879,
"learning_rate": 1.1111111111111112e-05,
"loss": 0.3792,
"step": 80
},
{
"epoch": 45.714285714285715,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 0.9799526929855347,
"eval_runtime": 0.5041,
"eval_samples_per_second": 71.411,
"eval_steps_per_second": 3.967,
"step": 80
},
{
"epoch": 46.857142857142854,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 0.9608871936798096,
"eval_runtime": 0.4995,
"eval_samples_per_second": 72.067,
"eval_steps_per_second": 4.004,
"step": 82
},
{
"epoch": 48.0,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 0.9819880723953247,
"eval_runtime": 0.5009,
"eval_samples_per_second": 71.877,
"eval_steps_per_second": 3.993,
"step": 84
},
{
"epoch": 48.57142857142857,
"eval_accuracy": 0.6388888888888888,
"eval_loss": 1.025152564048767,
"eval_runtime": 0.5001,
"eval_samples_per_second": 71.982,
"eval_steps_per_second": 3.999,
"step": 85
},
{
"epoch": 49.714285714285715,
"eval_accuracy": 0.6111111111111112,
"eval_loss": 1.0591676235198975,
"eval_runtime": 0.498,
"eval_samples_per_second": 72.294,
"eval_steps_per_second": 4.016,
"step": 87
},
{
"epoch": 50.857142857142854,
"eval_accuracy": 0.6666666666666666,
"eval_loss": 1.023190975189209,
"eval_runtime": 0.5158,
"eval_samples_per_second": 69.8,
"eval_steps_per_second": 3.878,
"step": 89
},
{
"epoch": 51.42857142857143,
"grad_norm": 3.914527416229248,
"learning_rate": 5.555555555555556e-06,
"loss": 0.3267,
"step": 90
},
{
"epoch": 52.0,
"eval_accuracy": 0.6111111111111112,
"eval_loss": 0.9972048997879028,
"eval_runtime": 0.4946,
"eval_samples_per_second": 72.792,
"eval_steps_per_second": 4.044,
"step": 91
},
{
"epoch": 52.57142857142857,
"eval_accuracy": 0.6111111111111112,
"eval_loss": 0.9925190806388855,
"eval_runtime": 0.4949,
"eval_samples_per_second": 72.735,
"eval_steps_per_second": 4.041,
"step": 92
},
{
"epoch": 53.714285714285715,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 1.000749945640564,
"eval_runtime": 0.5035,
"eval_samples_per_second": 71.494,
"eval_steps_per_second": 3.972,
"step": 94
},
{
"epoch": 54.857142857142854,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 1.0168888568878174,
"eval_runtime": 0.5013,
"eval_samples_per_second": 71.811,
"eval_steps_per_second": 3.989,
"step": 96
},
{
"epoch": 56.0,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 1.0303747653961182,
"eval_runtime": 0.4993,
"eval_samples_per_second": 72.106,
"eval_steps_per_second": 4.006,
"step": 98
},
{
"epoch": 56.57142857142857,
"eval_accuracy": 0.6111111111111112,
"eval_loss": 1.035979151725769,
"eval_runtime": 0.4966,
"eval_samples_per_second": 72.486,
"eval_steps_per_second": 4.027,
"step": 99
},
{
"epoch": 57.142857142857146,
"grad_norm": 5.318258762359619,
"learning_rate": 0.0,
"loss": 0.2959,
"step": 100
},
{
"epoch": 57.142857142857146,
"eval_accuracy": 0.6111111111111112,
"eval_loss": 1.0385332107543945,
"eval_runtime": 0.5052,
"eval_samples_per_second": 71.254,
"eval_steps_per_second": 3.959,
"step": 100
},
{
"epoch": 57.142857142857146,
"step": 100,
"total_flos": 8.770779002957046e+17,
"train_loss": 0.6079896140098572,
"train_runtime": 548.0225,
"train_samples_per_second": 36.13,
"train_steps_per_second": 0.182
},
{
"epoch": 57.142857142857146,
"eval_accuracy": 0.6666666666666666,
"eval_loss": 1.023190975189209,
"eval_runtime": 0.5699,
"eval_samples_per_second": 63.166,
"eval_steps_per_second": 3.509,
"step": 100
}
],
"logging_steps": 10,
"max_steps": 100,
"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": 8.770779002957046e+17,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}