BilalMuftuoglu's picture
End of training
618ae6d verified
raw
history blame contribute delete
No virus
17.5 kB
{
"best_metric": 0.5555555555555556,
"best_model_checkpoint": "deit-base-distilled-patch16-224-hasta-65-fold5/checkpoint-59",
"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": 0.3888888888888889,
"eval_loss": 1.1751261949539185,
"eval_runtime": 0.4879,
"eval_samples_per_second": 73.787,
"eval_steps_per_second": 4.099,
"step": 1
},
{
"epoch": 1.7142857142857144,
"eval_accuracy": 0.4722222222222222,
"eval_loss": 1.0340763330459595,
"eval_runtime": 0.489,
"eval_samples_per_second": 73.621,
"eval_steps_per_second": 4.09,
"step": 3
},
{
"epoch": 2.857142857142857,
"eval_accuracy": 0.2777777777777778,
"eval_loss": 1.3058849573135376,
"eval_runtime": 0.5086,
"eval_samples_per_second": 70.788,
"eval_steps_per_second": 3.933,
"step": 5
},
{
"epoch": 4.0,
"eval_accuracy": 0.2777777777777778,
"eval_loss": 1.3255195617675781,
"eval_runtime": 0.5171,
"eval_samples_per_second": 69.615,
"eval_steps_per_second": 3.868,
"step": 7
},
{
"epoch": 4.571428571428571,
"eval_accuracy": 0.2777777777777778,
"eval_loss": 1.1834439039230347,
"eval_runtime": 0.4928,
"eval_samples_per_second": 73.049,
"eval_steps_per_second": 4.058,
"step": 8
},
{
"epoch": 5.714285714285714,
"grad_norm": 2.6557154655456543,
"learning_rate": 5e-05,
"loss": 1.1839,
"step": 10
},
{
"epoch": 5.714285714285714,
"eval_accuracy": 0.5277777777777778,
"eval_loss": 1.0356624126434326,
"eval_runtime": 0.4894,
"eval_samples_per_second": 73.563,
"eval_steps_per_second": 4.087,
"step": 10
},
{
"epoch": 6.857142857142857,
"eval_accuracy": 0.3888888888888889,
"eval_loss": 1.060836672782898,
"eval_runtime": 0.4874,
"eval_samples_per_second": 73.855,
"eval_steps_per_second": 4.103,
"step": 12
},
{
"epoch": 8.0,
"eval_accuracy": 0.3333333333333333,
"eval_loss": 1.2059739828109741,
"eval_runtime": 0.4931,
"eval_samples_per_second": 73.015,
"eval_steps_per_second": 4.056,
"step": 14
},
{
"epoch": 8.571428571428571,
"eval_accuracy": 0.3888888888888889,
"eval_loss": 1.1938085556030273,
"eval_runtime": 0.4908,
"eval_samples_per_second": 73.347,
"eval_steps_per_second": 4.075,
"step": 15
},
{
"epoch": 9.714285714285714,
"eval_accuracy": 0.5,
"eval_loss": 1.082518219947815,
"eval_runtime": 0.4851,
"eval_samples_per_second": 74.208,
"eval_steps_per_second": 4.123,
"step": 17
},
{
"epoch": 10.857142857142858,
"eval_accuracy": 0.3888888888888889,
"eval_loss": 1.148760199546814,
"eval_runtime": 0.4962,
"eval_samples_per_second": 72.544,
"eval_steps_per_second": 4.03,
"step": 19
},
{
"epoch": 11.428571428571429,
"grad_norm": 3.6616809368133545,
"learning_rate": 4.4444444444444447e-05,
"loss": 0.9707,
"step": 20
},
{
"epoch": 12.0,
"eval_accuracy": 0.3888888888888889,
"eval_loss": 1.1268404722213745,
"eval_runtime": 0.4917,
"eval_samples_per_second": 73.22,
"eval_steps_per_second": 4.068,
"step": 21
},
{
"epoch": 12.571428571428571,
"eval_accuracy": 0.5,
"eval_loss": 1.0563452243804932,
"eval_runtime": 0.4999,
"eval_samples_per_second": 72.018,
"eval_steps_per_second": 4.001,
"step": 22
},
{
"epoch": 13.714285714285714,
"eval_accuracy": 0.5277777777777778,
"eval_loss": 1.0570094585418701,
"eval_runtime": 0.4934,
"eval_samples_per_second": 72.957,
"eval_steps_per_second": 4.053,
"step": 24
},
{
"epoch": 14.857142857142858,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.1166433095932007,
"eval_runtime": 0.4883,
"eval_samples_per_second": 73.728,
"eval_steps_per_second": 4.096,
"step": 26
},
{
"epoch": 16.0,
"eval_accuracy": 0.4444444444444444,
"eval_loss": 1.0609068870544434,
"eval_runtime": 0.4936,
"eval_samples_per_second": 72.941,
"eval_steps_per_second": 4.052,
"step": 28
},
{
"epoch": 16.571428571428573,
"eval_accuracy": 0.4722222222222222,
"eval_loss": 1.0378516912460327,
"eval_runtime": 0.4863,
"eval_samples_per_second": 74.034,
"eval_steps_per_second": 4.113,
"step": 29
},
{
"epoch": 17.142857142857142,
"grad_norm": 4.919348239898682,
"learning_rate": 3.888888888888889e-05,
"loss": 0.8668,
"step": 30
},
{
"epoch": 17.714285714285715,
"eval_accuracy": 0.4444444444444444,
"eval_loss": 1.0610023736953735,
"eval_runtime": 0.4887,
"eval_samples_per_second": 73.661,
"eval_steps_per_second": 4.092,
"step": 31
},
{
"epoch": 18.857142857142858,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.1810537576675415,
"eval_runtime": 0.4883,
"eval_samples_per_second": 73.727,
"eval_steps_per_second": 4.096,
"step": 33
},
{
"epoch": 20.0,
"eval_accuracy": 0.4444444444444444,
"eval_loss": 1.102830410003662,
"eval_runtime": 0.5057,
"eval_samples_per_second": 71.192,
"eval_steps_per_second": 3.955,
"step": 35
},
{
"epoch": 20.571428571428573,
"eval_accuracy": 0.4444444444444444,
"eval_loss": 1.0949718952178955,
"eval_runtime": 0.4917,
"eval_samples_per_second": 73.219,
"eval_steps_per_second": 4.068,
"step": 36
},
{
"epoch": 21.714285714285715,
"eval_accuracy": 0.4722222222222222,
"eval_loss": 1.1424427032470703,
"eval_runtime": 0.4936,
"eval_samples_per_second": 72.934,
"eval_steps_per_second": 4.052,
"step": 38
},
{
"epoch": 22.857142857142858,
"grad_norm": 6.751219272613525,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.6889,
"step": 40
},
{
"epoch": 22.857142857142858,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.3027087450027466,
"eval_runtime": 0.489,
"eval_samples_per_second": 73.623,
"eval_steps_per_second": 4.09,
"step": 40
},
{
"epoch": 24.0,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.2030115127563477,
"eval_runtime": 0.4898,
"eval_samples_per_second": 73.499,
"eval_steps_per_second": 4.083,
"step": 42
},
{
"epoch": 24.571428571428573,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.2148040533065796,
"eval_runtime": 0.5046,
"eval_samples_per_second": 71.339,
"eval_steps_per_second": 3.963,
"step": 43
},
{
"epoch": 25.714285714285715,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.3066232204437256,
"eval_runtime": 0.4837,
"eval_samples_per_second": 74.426,
"eval_steps_per_second": 4.135,
"step": 45
},
{
"epoch": 26.857142857142858,
"eval_accuracy": 0.3611111111111111,
"eval_loss": 1.388055443763733,
"eval_runtime": 0.4929,
"eval_samples_per_second": 73.037,
"eval_steps_per_second": 4.058,
"step": 47
},
{
"epoch": 28.0,
"eval_accuracy": 0.4444444444444444,
"eval_loss": 1.2565866708755493,
"eval_runtime": 0.4954,
"eval_samples_per_second": 72.666,
"eval_steps_per_second": 4.037,
"step": 49
},
{
"epoch": 28.571428571428573,
"grad_norm": 4.931034564971924,
"learning_rate": 2.777777777777778e-05,
"loss": 0.576,
"step": 50
},
{
"epoch": 28.571428571428573,
"eval_accuracy": 0.4444444444444444,
"eval_loss": 1.1890705823898315,
"eval_runtime": 0.485,
"eval_samples_per_second": 74.228,
"eval_steps_per_second": 4.124,
"step": 50
},
{
"epoch": 29.714285714285715,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.163759708404541,
"eval_runtime": 0.4917,
"eval_samples_per_second": 73.21,
"eval_steps_per_second": 4.067,
"step": 52
},
{
"epoch": 30.857142857142858,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.253006935119629,
"eval_runtime": 0.4917,
"eval_samples_per_second": 73.209,
"eval_steps_per_second": 4.067,
"step": 54
},
{
"epoch": 32.0,
"eval_accuracy": 0.5,
"eval_loss": 1.13831627368927,
"eval_runtime": 0.4952,
"eval_samples_per_second": 72.692,
"eval_steps_per_second": 4.038,
"step": 56
},
{
"epoch": 32.57142857142857,
"eval_accuracy": 0.5,
"eval_loss": 1.0968199968338013,
"eval_runtime": 0.4993,
"eval_samples_per_second": 72.096,
"eval_steps_per_second": 4.005,
"step": 57
},
{
"epoch": 33.714285714285715,
"eval_accuracy": 0.5555555555555556,
"eval_loss": 1.0162580013275146,
"eval_runtime": 0.4924,
"eval_samples_per_second": 73.107,
"eval_steps_per_second": 4.061,
"step": 59
},
{
"epoch": 34.285714285714285,
"grad_norm": 6.734873294830322,
"learning_rate": 2.2222222222222223e-05,
"loss": 0.4773,
"step": 60
},
{
"epoch": 34.857142857142854,
"eval_accuracy": 0.5,
"eval_loss": 1.1107090711593628,
"eval_runtime": 0.4902,
"eval_samples_per_second": 73.44,
"eval_steps_per_second": 4.08,
"step": 61
},
{
"epoch": 36.0,
"eval_accuracy": 0.5,
"eval_loss": 1.1340625286102295,
"eval_runtime": 0.4891,
"eval_samples_per_second": 73.602,
"eval_steps_per_second": 4.089,
"step": 63
},
{
"epoch": 36.57142857142857,
"eval_accuracy": 0.5277777777777778,
"eval_loss": 1.1151530742645264,
"eval_runtime": 0.4831,
"eval_samples_per_second": 74.516,
"eval_steps_per_second": 4.14,
"step": 64
},
{
"epoch": 37.714285714285715,
"eval_accuracy": 0.5555555555555556,
"eval_loss": 1.115782380104065,
"eval_runtime": 0.5062,
"eval_samples_per_second": 71.115,
"eval_steps_per_second": 3.951,
"step": 66
},
{
"epoch": 38.857142857142854,
"eval_accuracy": 0.4722222222222222,
"eval_loss": 1.1627553701400757,
"eval_runtime": 0.4965,
"eval_samples_per_second": 72.512,
"eval_steps_per_second": 4.028,
"step": 68
},
{
"epoch": 40.0,
"grad_norm": 4.625010967254639,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.4186,
"step": 70
},
{
"epoch": 40.0,
"eval_accuracy": 0.4444444444444444,
"eval_loss": 1.2304986715316772,
"eval_runtime": 0.5035,
"eval_samples_per_second": 71.502,
"eval_steps_per_second": 3.972,
"step": 70
},
{
"epoch": 40.57142857142857,
"eval_accuracy": 0.4722222222222222,
"eval_loss": 1.2181116342544556,
"eval_runtime": 0.4887,
"eval_samples_per_second": 73.665,
"eval_steps_per_second": 4.093,
"step": 71
},
{
"epoch": 41.714285714285715,
"eval_accuracy": 0.5,
"eval_loss": 1.216411828994751,
"eval_runtime": 0.4978,
"eval_samples_per_second": 72.325,
"eval_steps_per_second": 4.018,
"step": 73
},
{
"epoch": 42.857142857142854,
"eval_accuracy": 0.5,
"eval_loss": 1.2224550247192383,
"eval_runtime": 0.5007,
"eval_samples_per_second": 71.898,
"eval_steps_per_second": 3.994,
"step": 75
},
{
"epoch": 44.0,
"eval_accuracy": 0.5,
"eval_loss": 1.2297773361206055,
"eval_runtime": 0.492,
"eval_samples_per_second": 73.173,
"eval_steps_per_second": 4.065,
"step": 77
},
{
"epoch": 44.57142857142857,
"eval_accuracy": 0.4722222222222222,
"eval_loss": 1.2651033401489258,
"eval_runtime": 0.4869,
"eval_samples_per_second": 73.937,
"eval_steps_per_second": 4.108,
"step": 78
},
{
"epoch": 45.714285714285715,
"grad_norm": 4.358370304107666,
"learning_rate": 1.1111111111111112e-05,
"loss": 0.3318,
"step": 80
},
{
"epoch": 45.714285714285715,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.3628058433532715,
"eval_runtime": 0.4972,
"eval_samples_per_second": 72.408,
"eval_steps_per_second": 4.023,
"step": 80
},
{
"epoch": 46.857142857142854,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.3817496299743652,
"eval_runtime": 0.5101,
"eval_samples_per_second": 70.572,
"eval_steps_per_second": 3.921,
"step": 82
},
{
"epoch": 48.0,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.359439492225647,
"eval_runtime": 0.5012,
"eval_samples_per_second": 71.825,
"eval_steps_per_second": 3.99,
"step": 84
},
{
"epoch": 48.57142857142857,
"eval_accuracy": 0.4444444444444444,
"eval_loss": 1.355283260345459,
"eval_runtime": 0.4956,
"eval_samples_per_second": 72.644,
"eval_steps_per_second": 4.036,
"step": 85
},
{
"epoch": 49.714285714285715,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.3547987937927246,
"eval_runtime": 0.4823,
"eval_samples_per_second": 74.639,
"eval_steps_per_second": 4.147,
"step": 87
},
{
"epoch": 50.857142857142854,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.4113057851791382,
"eval_runtime": 0.4928,
"eval_samples_per_second": 73.049,
"eval_steps_per_second": 4.058,
"step": 89
},
{
"epoch": 51.42857142857143,
"grad_norm": 5.402642726898193,
"learning_rate": 5.555555555555556e-06,
"loss": 0.344,
"step": 90
},
{
"epoch": 52.0,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.4433233737945557,
"eval_runtime": 0.4954,
"eval_samples_per_second": 72.67,
"eval_steps_per_second": 4.037,
"step": 91
},
{
"epoch": 52.57142857142857,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.4449433088302612,
"eval_runtime": 0.5015,
"eval_samples_per_second": 71.781,
"eval_steps_per_second": 3.988,
"step": 92
},
{
"epoch": 53.714285714285715,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.4513975381851196,
"eval_runtime": 0.4877,
"eval_samples_per_second": 73.809,
"eval_steps_per_second": 4.101,
"step": 94
},
{
"epoch": 54.857142857142854,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.4684746265411377,
"eval_runtime": 0.4939,
"eval_samples_per_second": 72.889,
"eval_steps_per_second": 4.049,
"step": 96
},
{
"epoch": 56.0,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.473361611366272,
"eval_runtime": 0.5076,
"eval_samples_per_second": 70.919,
"eval_steps_per_second": 3.94,
"step": 98
},
{
"epoch": 56.57142857142857,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.4746534824371338,
"eval_runtime": 0.4963,
"eval_samples_per_second": 72.541,
"eval_steps_per_second": 4.03,
"step": 99
},
{
"epoch": 57.142857142857146,
"grad_norm": 5.429214000701904,
"learning_rate": 0.0,
"loss": 0.3305,
"step": 100
},
{
"epoch": 57.142857142857146,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.4732346534729004,
"eval_runtime": 0.4898,
"eval_samples_per_second": 73.493,
"eval_steps_per_second": 4.083,
"step": 100
},
{
"epoch": 57.142857142857146,
"step": 100,
"total_flos": 8.903293865079828e+17,
"train_loss": 0.6188502907752991,
"train_runtime": 552.0025,
"train_samples_per_second": 36.413,
"train_steps_per_second": 0.181
},
{
"epoch": 57.142857142857146,
"eval_accuracy": 0.5555555555555556,
"eval_loss": 1.0162580013275146,
"eval_runtime": 0.5216,
"eval_samples_per_second": 69.013,
"eval_steps_per_second": 3.834,
"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": 8.903293865079828e+17,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}