BilalMuftuoglu's picture
End of training
44b2a5e verified
raw
history blame
26.6 kB
{
"best_metric": 1.0,
"best_model_checkpoint": "deit-base-distilled-patch16-224-hasta-75-fold1/checkpoint-17",
"epoch": 100.0,
"eval_steps": 500,
"global_step": 100,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 1.0838725566864014,
"eval_runtime": 0.1691,
"eval_samples_per_second": 70.976,
"eval_steps_per_second": 5.915,
"step": 1
},
{
"epoch": 2.0,
"eval_accuracy": 0.6666666666666666,
"eval_loss": 0.8911231160163879,
"eval_runtime": 0.1696,
"eval_samples_per_second": 70.757,
"eval_steps_per_second": 5.896,
"step": 2
},
{
"epoch": 3.0,
"eval_accuracy": 0.75,
"eval_loss": 0.5836748480796814,
"eval_runtime": 0.1676,
"eval_samples_per_second": 71.579,
"eval_steps_per_second": 5.965,
"step": 3
},
{
"epoch": 4.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.34806403517723083,
"eval_runtime": 0.1645,
"eval_samples_per_second": 72.934,
"eval_steps_per_second": 6.078,
"step": 4
},
{
"epoch": 5.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.2815200686454773,
"eval_runtime": 0.164,
"eval_samples_per_second": 73.162,
"eval_steps_per_second": 6.097,
"step": 5
},
{
"epoch": 6.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.28391170501708984,
"eval_runtime": 0.1402,
"eval_samples_per_second": 85.569,
"eval_steps_per_second": 7.131,
"step": 6
},
{
"epoch": 7.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.2837619185447693,
"eval_runtime": 0.1695,
"eval_samples_per_second": 70.809,
"eval_steps_per_second": 5.901,
"step": 7
},
{
"epoch": 8.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.26923567056655884,
"eval_runtime": 0.1682,
"eval_samples_per_second": 71.361,
"eval_steps_per_second": 5.947,
"step": 8
},
{
"epoch": 9.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.27014538645744324,
"eval_runtime": 0.159,
"eval_samples_per_second": 75.493,
"eval_steps_per_second": 6.291,
"step": 9
},
{
"epoch": 10.0,
"grad_norm": 1.2129414081573486,
"learning_rate": 5e-05,
"loss": 0.3107,
"step": 10
},
{
"epoch": 10.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.33633777499198914,
"eval_runtime": 0.1692,
"eval_samples_per_second": 70.904,
"eval_steps_per_second": 5.909,
"step": 10
},
{
"epoch": 11.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.38160809874534607,
"eval_runtime": 0.1738,
"eval_samples_per_second": 69.048,
"eval_steps_per_second": 5.754,
"step": 11
},
{
"epoch": 12.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.3427475392818451,
"eval_runtime": 0.1732,
"eval_samples_per_second": 69.302,
"eval_steps_per_second": 5.775,
"step": 12
},
{
"epoch": 13.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.27277496457099915,
"eval_runtime": 0.1761,
"eval_samples_per_second": 68.13,
"eval_steps_per_second": 5.677,
"step": 13
},
{
"epoch": 14.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.22727306187152863,
"eval_runtime": 0.1733,
"eval_samples_per_second": 69.232,
"eval_steps_per_second": 5.769,
"step": 14
},
{
"epoch": 15.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.20517520606517792,
"eval_runtime": 0.1738,
"eval_samples_per_second": 69.061,
"eval_steps_per_second": 5.755,
"step": 15
},
{
"epoch": 16.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.18395300209522247,
"eval_runtime": 0.1698,
"eval_samples_per_second": 70.673,
"eval_steps_per_second": 5.889,
"step": 16
},
{
"epoch": 17.0,
"eval_accuracy": 1.0,
"eval_loss": 0.19073201715946198,
"eval_runtime": 0.172,
"eval_samples_per_second": 69.748,
"eval_steps_per_second": 5.812,
"step": 17
},
{
"epoch": 18.0,
"eval_accuracy": 1.0,
"eval_loss": 0.17612700164318085,
"eval_runtime": 0.1704,
"eval_samples_per_second": 70.428,
"eval_steps_per_second": 5.869,
"step": 18
},
{
"epoch": 19.0,
"eval_accuracy": 1.0,
"eval_loss": 0.13020874559879303,
"eval_runtime": 0.1765,
"eval_samples_per_second": 67.981,
"eval_steps_per_second": 5.665,
"step": 19
},
{
"epoch": 20.0,
"grad_norm": 0.7908862829208374,
"learning_rate": 4.4444444444444447e-05,
"loss": 0.1503,
"step": 20
},
{
"epoch": 20.0,
"eval_accuracy": 1.0,
"eval_loss": 0.09369927644729614,
"eval_runtime": 0.1701,
"eval_samples_per_second": 70.561,
"eval_steps_per_second": 5.88,
"step": 20
},
{
"epoch": 21.0,
"eval_accuracy": 1.0,
"eval_loss": 0.07672286778688431,
"eval_runtime": 0.1649,
"eval_samples_per_second": 72.764,
"eval_steps_per_second": 6.064,
"step": 21
},
{
"epoch": 22.0,
"eval_accuracy": 1.0,
"eval_loss": 0.0641578882932663,
"eval_runtime": 0.1749,
"eval_samples_per_second": 68.596,
"eval_steps_per_second": 5.716,
"step": 22
},
{
"epoch": 23.0,
"eval_accuracy": 1.0,
"eval_loss": 0.0730399563908577,
"eval_runtime": 0.1666,
"eval_samples_per_second": 72.022,
"eval_steps_per_second": 6.002,
"step": 23
},
{
"epoch": 24.0,
"eval_accuracy": 1.0,
"eval_loss": 0.0937485471367836,
"eval_runtime": 0.1714,
"eval_samples_per_second": 70.03,
"eval_steps_per_second": 5.836,
"step": 24
},
{
"epoch": 25.0,
"eval_accuracy": 1.0,
"eval_loss": 0.07131379097700119,
"eval_runtime": 0.1686,
"eval_samples_per_second": 71.16,
"eval_steps_per_second": 5.93,
"step": 25
},
{
"epoch": 26.0,
"eval_accuracy": 1.0,
"eval_loss": 0.0475582480430603,
"eval_runtime": 0.1744,
"eval_samples_per_second": 68.813,
"eval_steps_per_second": 5.734,
"step": 26
},
{
"epoch": 27.0,
"eval_accuracy": 1.0,
"eval_loss": 0.04617106541991234,
"eval_runtime": 0.1731,
"eval_samples_per_second": 69.315,
"eval_steps_per_second": 5.776,
"step": 27
},
{
"epoch": 28.0,
"eval_accuracy": 1.0,
"eval_loss": 0.05526432394981384,
"eval_runtime": 0.1758,
"eval_samples_per_second": 68.273,
"eval_steps_per_second": 5.689,
"step": 28
},
{
"epoch": 29.0,
"eval_accuracy": 1.0,
"eval_loss": 0.06893330812454224,
"eval_runtime": 0.1778,
"eval_samples_per_second": 67.474,
"eval_steps_per_second": 5.623,
"step": 29
},
{
"epoch": 30.0,
"grad_norm": 1.3284376859664917,
"learning_rate": 3.888888888888889e-05,
"loss": 0.068,
"step": 30
},
{
"epoch": 30.0,
"eval_accuracy": 1.0,
"eval_loss": 0.06763923913240433,
"eval_runtime": 0.1692,
"eval_samples_per_second": 70.913,
"eval_steps_per_second": 5.909,
"step": 30
},
{
"epoch": 31.0,
"eval_accuracy": 1.0,
"eval_loss": 0.05344026908278465,
"eval_runtime": 0.1748,
"eval_samples_per_second": 68.65,
"eval_steps_per_second": 5.721,
"step": 31
},
{
"epoch": 32.0,
"eval_accuracy": 1.0,
"eval_loss": 0.04723837599158287,
"eval_runtime": 0.1773,
"eval_samples_per_second": 67.677,
"eval_steps_per_second": 5.64,
"step": 32
},
{
"epoch": 33.0,
"eval_accuracy": 1.0,
"eval_loss": 0.057503703981637955,
"eval_runtime": 0.171,
"eval_samples_per_second": 70.184,
"eval_steps_per_second": 5.849,
"step": 33
},
{
"epoch": 34.0,
"eval_accuracy": 1.0,
"eval_loss": 0.061442967504262924,
"eval_runtime": 0.1735,
"eval_samples_per_second": 69.145,
"eval_steps_per_second": 5.762,
"step": 34
},
{
"epoch": 35.0,
"eval_accuracy": 1.0,
"eval_loss": 0.05957895517349243,
"eval_runtime": 0.1743,
"eval_samples_per_second": 68.863,
"eval_steps_per_second": 5.739,
"step": 35
},
{
"epoch": 36.0,
"eval_accuracy": 1.0,
"eval_loss": 0.0503091923892498,
"eval_runtime": 0.1743,
"eval_samples_per_second": 68.828,
"eval_steps_per_second": 5.736,
"step": 36
},
{
"epoch": 37.0,
"eval_accuracy": 1.0,
"eval_loss": 0.05713028088212013,
"eval_runtime": 0.1741,
"eval_samples_per_second": 68.934,
"eval_steps_per_second": 5.745,
"step": 37
},
{
"epoch": 38.0,
"eval_accuracy": 1.0,
"eval_loss": 0.06938361376523972,
"eval_runtime": 0.1755,
"eval_samples_per_second": 68.376,
"eval_steps_per_second": 5.698,
"step": 38
},
{
"epoch": 39.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.0869433656334877,
"eval_runtime": 0.1709,
"eval_samples_per_second": 70.212,
"eval_steps_per_second": 5.851,
"step": 39
},
{
"epoch": 40.0,
"grad_norm": 1.0563879013061523,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.0416,
"step": 40
},
{
"epoch": 40.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.10385680943727493,
"eval_runtime": 0.1741,
"eval_samples_per_second": 68.935,
"eval_steps_per_second": 5.745,
"step": 40
},
{
"epoch": 41.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.11296293884515762,
"eval_runtime": 0.1682,
"eval_samples_per_second": 71.335,
"eval_steps_per_second": 5.945,
"step": 41
},
{
"epoch": 42.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.1127309575676918,
"eval_runtime": 0.1673,
"eval_samples_per_second": 71.714,
"eval_steps_per_second": 5.976,
"step": 42
},
{
"epoch": 43.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.1028260588645935,
"eval_runtime": 0.1773,
"eval_samples_per_second": 67.664,
"eval_steps_per_second": 5.639,
"step": 43
},
{
"epoch": 44.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.08404495567083359,
"eval_runtime": 0.1803,
"eval_samples_per_second": 66.548,
"eval_steps_per_second": 5.546,
"step": 44
},
{
"epoch": 45.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.07033081352710724,
"eval_runtime": 0.1683,
"eval_samples_per_second": 71.306,
"eval_steps_per_second": 5.942,
"step": 45
},
{
"epoch": 46.0,
"eval_accuracy": 1.0,
"eval_loss": 0.056403230875730515,
"eval_runtime": 0.1695,
"eval_samples_per_second": 70.785,
"eval_steps_per_second": 5.899,
"step": 46
},
{
"epoch": 47.0,
"eval_accuracy": 1.0,
"eval_loss": 0.05716688930988312,
"eval_runtime": 0.1751,
"eval_samples_per_second": 68.533,
"eval_steps_per_second": 5.711,
"step": 47
},
{
"epoch": 48.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.06894658505916595,
"eval_runtime": 0.1733,
"eval_samples_per_second": 69.246,
"eval_steps_per_second": 5.77,
"step": 48
},
{
"epoch": 49.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.09668171405792236,
"eval_runtime": 0.1834,
"eval_samples_per_second": 65.426,
"eval_steps_per_second": 5.452,
"step": 49
},
{
"epoch": 50.0,
"grad_norm": 1.5291131734848022,
"learning_rate": 2.777777777777778e-05,
"loss": 0.048,
"step": 50
},
{
"epoch": 50.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.14398609101772308,
"eval_runtime": 0.163,
"eval_samples_per_second": 73.617,
"eval_steps_per_second": 6.135,
"step": 50
},
{
"epoch": 51.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.16672177612781525,
"eval_runtime": 0.1711,
"eval_samples_per_second": 70.115,
"eval_steps_per_second": 5.843,
"step": 51
},
{
"epoch": 52.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.1823185831308365,
"eval_runtime": 0.1741,
"eval_samples_per_second": 68.928,
"eval_steps_per_second": 5.744,
"step": 52
},
{
"epoch": 53.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.17343102395534515,
"eval_runtime": 0.1673,
"eval_samples_per_second": 71.742,
"eval_steps_per_second": 5.979,
"step": 53
},
{
"epoch": 54.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.154280886054039,
"eval_runtime": 0.1801,
"eval_samples_per_second": 66.619,
"eval_steps_per_second": 5.552,
"step": 54
},
{
"epoch": 55.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.13834944367408752,
"eval_runtime": 0.1765,
"eval_samples_per_second": 68.007,
"eval_steps_per_second": 5.667,
"step": 55
},
{
"epoch": 56.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.12664343416690826,
"eval_runtime": 0.1668,
"eval_samples_per_second": 71.951,
"eval_steps_per_second": 5.996,
"step": 56
},
{
"epoch": 57.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.10125861316919327,
"eval_runtime": 0.1697,
"eval_samples_per_second": 70.734,
"eval_steps_per_second": 5.894,
"step": 57
},
{
"epoch": 58.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.08296892791986465,
"eval_runtime": 0.1741,
"eval_samples_per_second": 68.927,
"eval_steps_per_second": 5.744,
"step": 58
},
{
"epoch": 59.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.07803661376237869,
"eval_runtime": 0.1724,
"eval_samples_per_second": 69.607,
"eval_steps_per_second": 5.801,
"step": 59
},
{
"epoch": 60.0,
"grad_norm": 0.15691009163856506,
"learning_rate": 2.2222222222222223e-05,
"loss": 0.0118,
"step": 60
},
{
"epoch": 60.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.07563833892345428,
"eval_runtime": 0.1682,
"eval_samples_per_second": 71.331,
"eval_steps_per_second": 5.944,
"step": 60
},
{
"epoch": 61.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.07225405424833298,
"eval_runtime": 0.1725,
"eval_samples_per_second": 69.554,
"eval_steps_per_second": 5.796,
"step": 61
},
{
"epoch": 62.0,
"eval_accuracy": 1.0,
"eval_loss": 0.056341033428907394,
"eval_runtime": 0.1665,
"eval_samples_per_second": 72.093,
"eval_steps_per_second": 6.008,
"step": 62
},
{
"epoch": 63.0,
"eval_accuracy": 1.0,
"eval_loss": 0.04702509567141533,
"eval_runtime": 0.1841,
"eval_samples_per_second": 65.192,
"eval_steps_per_second": 5.433,
"step": 63
},
{
"epoch": 64.0,
"eval_accuracy": 1.0,
"eval_loss": 0.046886246651411057,
"eval_runtime": 0.1732,
"eval_samples_per_second": 69.274,
"eval_steps_per_second": 5.773,
"step": 64
},
{
"epoch": 65.0,
"eval_accuracy": 1.0,
"eval_loss": 0.052169691771268845,
"eval_runtime": 0.1736,
"eval_samples_per_second": 69.127,
"eval_steps_per_second": 5.761,
"step": 65
},
{
"epoch": 66.0,
"eval_accuracy": 1.0,
"eval_loss": 0.05759477615356445,
"eval_runtime": 0.1746,
"eval_samples_per_second": 68.735,
"eval_steps_per_second": 5.728,
"step": 66
},
{
"epoch": 67.0,
"eval_accuracy": 1.0,
"eval_loss": 0.06394201517105103,
"eval_runtime": 0.1687,
"eval_samples_per_second": 71.123,
"eval_steps_per_second": 5.927,
"step": 67
},
{
"epoch": 68.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.08266932517290115,
"eval_runtime": 0.1723,
"eval_samples_per_second": 69.652,
"eval_steps_per_second": 5.804,
"step": 68
},
{
"epoch": 69.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.10889662057161331,
"eval_runtime": 0.1757,
"eval_samples_per_second": 68.286,
"eval_steps_per_second": 5.691,
"step": 69
},
{
"epoch": 70.0,
"grad_norm": 0.38948971033096313,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.0271,
"step": 70
},
{
"epoch": 70.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.13427671790122986,
"eval_runtime": 0.171,
"eval_samples_per_second": 70.179,
"eval_steps_per_second": 5.848,
"step": 70
},
{
"epoch": 71.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.15138830244541168,
"eval_runtime": 0.1681,
"eval_samples_per_second": 71.38,
"eval_steps_per_second": 5.948,
"step": 71
},
{
"epoch": 72.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.15523149073123932,
"eval_runtime": 0.1734,
"eval_samples_per_second": 69.188,
"eval_steps_per_second": 5.766,
"step": 72
},
{
"epoch": 73.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.1500328928232193,
"eval_runtime": 0.1728,
"eval_samples_per_second": 69.463,
"eval_steps_per_second": 5.789,
"step": 73
},
{
"epoch": 74.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.13924731314182281,
"eval_runtime": 0.1749,
"eval_samples_per_second": 68.628,
"eval_steps_per_second": 5.719,
"step": 74
},
{
"epoch": 75.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.12288343161344528,
"eval_runtime": 0.1757,
"eval_samples_per_second": 68.307,
"eval_steps_per_second": 5.692,
"step": 75
},
{
"epoch": 76.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.10091481357812881,
"eval_runtime": 0.1739,
"eval_samples_per_second": 69.008,
"eval_steps_per_second": 5.751,
"step": 76
},
{
"epoch": 77.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.08581729978322983,
"eval_runtime": 0.168,
"eval_samples_per_second": 71.423,
"eval_steps_per_second": 5.952,
"step": 77
},
{
"epoch": 78.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.08439955860376358,
"eval_runtime": 0.1701,
"eval_samples_per_second": 70.534,
"eval_steps_per_second": 5.878,
"step": 78
},
{
"epoch": 79.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.08550930768251419,
"eval_runtime": 0.1809,
"eval_samples_per_second": 66.325,
"eval_steps_per_second": 5.527,
"step": 79
},
{
"epoch": 80.0,
"grad_norm": 1.0177083015441895,
"learning_rate": 1.1111111111111112e-05,
"loss": 0.0462,
"step": 80
},
{
"epoch": 80.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.0972227081656456,
"eval_runtime": 0.1692,
"eval_samples_per_second": 70.917,
"eval_steps_per_second": 5.91,
"step": 80
},
{
"epoch": 81.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.11395915597677231,
"eval_runtime": 0.1682,
"eval_samples_per_second": 71.336,
"eval_steps_per_second": 5.945,
"step": 81
},
{
"epoch": 82.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.13984452188014984,
"eval_runtime": 0.17,
"eval_samples_per_second": 70.587,
"eval_steps_per_second": 5.882,
"step": 82
},
{
"epoch": 83.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.16390566527843475,
"eval_runtime": 0.1702,
"eval_samples_per_second": 70.502,
"eval_steps_per_second": 5.875,
"step": 83
},
{
"epoch": 84.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.18424014747142792,
"eval_runtime": 0.1721,
"eval_samples_per_second": 69.737,
"eval_steps_per_second": 5.811,
"step": 84
},
{
"epoch": 85.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.1938496083021164,
"eval_runtime": 0.1864,
"eval_samples_per_second": 64.387,
"eval_steps_per_second": 5.366,
"step": 85
},
{
"epoch": 86.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.20000122487545013,
"eval_runtime": 0.1802,
"eval_samples_per_second": 66.596,
"eval_steps_per_second": 5.55,
"step": 86
},
{
"epoch": 87.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.20081685483455658,
"eval_runtime": 0.1707,
"eval_samples_per_second": 70.294,
"eval_steps_per_second": 5.858,
"step": 87
},
{
"epoch": 88.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.19491897523403168,
"eval_runtime": 0.1725,
"eval_samples_per_second": 69.551,
"eval_steps_per_second": 5.796,
"step": 88
},
{
"epoch": 89.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.18955135345458984,
"eval_runtime": 0.1729,
"eval_samples_per_second": 69.415,
"eval_steps_per_second": 5.785,
"step": 89
},
{
"epoch": 90.0,
"grad_norm": 1.028542399406433,
"learning_rate": 5.555555555555556e-06,
"loss": 0.022,
"step": 90
},
{
"epoch": 90.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.17976105213165283,
"eval_runtime": 0.1649,
"eval_samples_per_second": 72.769,
"eval_steps_per_second": 6.064,
"step": 90
},
{
"epoch": 91.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.16998781263828278,
"eval_runtime": 0.1686,
"eval_samples_per_second": 71.156,
"eval_steps_per_second": 5.93,
"step": 91
},
{
"epoch": 92.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.161741703748703,
"eval_runtime": 0.1757,
"eval_samples_per_second": 68.313,
"eval_steps_per_second": 5.693,
"step": 92
},
{
"epoch": 93.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.1549077183008194,
"eval_runtime": 0.1813,
"eval_samples_per_second": 66.195,
"eval_steps_per_second": 5.516,
"step": 93
},
{
"epoch": 94.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.14918744564056396,
"eval_runtime": 0.1697,
"eval_samples_per_second": 70.715,
"eval_steps_per_second": 5.893,
"step": 94
},
{
"epoch": 95.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.14473901689052582,
"eval_runtime": 0.1757,
"eval_samples_per_second": 68.292,
"eval_steps_per_second": 5.691,
"step": 95
},
{
"epoch": 96.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.14346013963222504,
"eval_runtime": 0.1696,
"eval_samples_per_second": 70.75,
"eval_steps_per_second": 5.896,
"step": 96
},
{
"epoch": 97.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.14305876195430756,
"eval_runtime": 0.168,
"eval_samples_per_second": 71.43,
"eval_steps_per_second": 5.952,
"step": 97
},
{
"epoch": 98.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.1418064534664154,
"eval_runtime": 0.1807,
"eval_samples_per_second": 66.421,
"eval_steps_per_second": 5.535,
"step": 98
},
{
"epoch": 99.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.14111365377902985,
"eval_runtime": 0.1677,
"eval_samples_per_second": 71.558,
"eval_steps_per_second": 5.963,
"step": 99
},
{
"epoch": 100.0,
"grad_norm": 1.2945746183395386,
"learning_rate": 0.0,
"loss": 0.0236,
"step": 100
},
{
"epoch": 100.0,
"eval_accuracy": 0.9166666666666666,
"eval_loss": 0.1407879739999771,
"eval_runtime": 0.1684,
"eval_samples_per_second": 71.262,
"eval_steps_per_second": 5.938,
"step": 100
},
{
"epoch": 100.0,
"step": 100,
"total_flos": 4.804632427843584e+17,
"train_loss": 0.07493457712233066,
"train_runtime": 422.9864,
"train_samples_per_second": 14.658,
"train_steps_per_second": 0.236
},
{
"epoch": 100.0,
"eval_accuracy": 1.0,
"eval_loss": 0.19073201715946198,
"eval_runtime": 0.2201,
"eval_samples_per_second": 54.512,
"eval_steps_per_second": 4.543,
"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": 4.804632427843584e+17,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}