|
{
|
|
"best_metric": 0.7115384615384616,
|
|
"best_model_checkpoint": "swinv2-tiny-patch4-window8-256-ve-UH\\checkpoint-74",
|
|
"epoch": 80.0,
|
|
"eval_steps": 500,
|
|
"global_step": 160,
|
|
"is_hyper_param_search": false,
|
|
"is_local_process_zero": true,
|
|
"is_world_process_zero": true,
|
|
"log_history": [
|
|
{
|
|
"epoch": 1.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.609152913093567,
|
|
"eval_runtime": 0.6177,
|
|
"eval_samples_per_second": 84.178,
|
|
"eval_steps_per_second": 3.238,
|
|
"step": 2
|
|
},
|
|
{
|
|
"epoch": 2.0,
|
|
"eval_accuracy": 0.4230769230769231,
|
|
"eval_loss": 1.607539415359497,
|
|
"eval_runtime": 0.6151,
|
|
"eval_samples_per_second": 84.537,
|
|
"eval_steps_per_second": 3.251,
|
|
"step": 4
|
|
},
|
|
{
|
|
"epoch": 3.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.6036603450775146,
|
|
"eval_runtime": 0.6452,
|
|
"eval_samples_per_second": 80.598,
|
|
"eval_steps_per_second": 3.1,
|
|
"step": 6
|
|
},
|
|
{
|
|
"epoch": 4.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.5960490703582764,
|
|
"eval_runtime": 0.6216,
|
|
"eval_samples_per_second": 83.658,
|
|
"eval_steps_per_second": 3.218,
|
|
"step": 8
|
|
},
|
|
{
|
|
"epoch": 5.0,
|
|
"learning_rate": 2.5e-05,
|
|
"loss": 1.6041,
|
|
"step": 10
|
|
},
|
|
{
|
|
"epoch": 5.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.5820420980453491,
|
|
"eval_runtime": 0.6018,
|
|
"eval_samples_per_second": 86.403,
|
|
"eval_steps_per_second": 3.323,
|
|
"step": 10
|
|
},
|
|
{
|
|
"epoch": 6.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.557769536972046,
|
|
"eval_runtime": 0.6002,
|
|
"eval_samples_per_second": 86.637,
|
|
"eval_steps_per_second": 3.332,
|
|
"step": 12
|
|
},
|
|
{
|
|
"epoch": 7.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.5217629671096802,
|
|
"eval_runtime": 0.5994,
|
|
"eval_samples_per_second": 86.756,
|
|
"eval_steps_per_second": 3.337,
|
|
"step": 14
|
|
},
|
|
{
|
|
"epoch": 8.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.4849278926849365,
|
|
"eval_runtime": 0.5916,
|
|
"eval_samples_per_second": 87.892,
|
|
"eval_steps_per_second": 3.38,
|
|
"step": 16
|
|
},
|
|
{
|
|
"epoch": 9.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.4459120035171509,
|
|
"eval_runtime": 0.631,
|
|
"eval_samples_per_second": 82.411,
|
|
"eval_steps_per_second": 3.17,
|
|
"step": 18
|
|
},
|
|
{
|
|
"epoch": 10.0,
|
|
"learning_rate": 3.888888888888889e-05,
|
|
"loss": 1.4962,
|
|
"step": 20
|
|
},
|
|
{
|
|
"epoch": 10.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.4108681678771973,
|
|
"eval_runtime": 0.6792,
|
|
"eval_samples_per_second": 76.559,
|
|
"eval_steps_per_second": 2.945,
|
|
"step": 20
|
|
},
|
|
{
|
|
"epoch": 11.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.3940582275390625,
|
|
"eval_runtime": 0.6563,
|
|
"eval_samples_per_second": 79.237,
|
|
"eval_steps_per_second": 3.048,
|
|
"step": 22
|
|
},
|
|
{
|
|
"epoch": 12.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.3864620923995972,
|
|
"eval_runtime": 0.6095,
|
|
"eval_samples_per_second": 85.32,
|
|
"eval_steps_per_second": 3.282,
|
|
"step": 24
|
|
},
|
|
{
|
|
"epoch": 13.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.3753844499588013,
|
|
"eval_runtime": 0.5989,
|
|
"eval_samples_per_second": 86.825,
|
|
"eval_steps_per_second": 3.339,
|
|
"step": 26
|
|
},
|
|
{
|
|
"epoch": 14.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.3655123710632324,
|
|
"eval_runtime": 0.7862,
|
|
"eval_samples_per_second": 66.14,
|
|
"eval_steps_per_second": 2.544,
|
|
"step": 28
|
|
},
|
|
{
|
|
"epoch": 15.0,
|
|
"learning_rate": 3.6111111111111116e-05,
|
|
"loss": 1.3392,
|
|
"step": 30
|
|
},
|
|
{
|
|
"epoch": 15.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.3794106245040894,
|
|
"eval_runtime": 0.6509,
|
|
"eval_samples_per_second": 79.893,
|
|
"eval_steps_per_second": 3.073,
|
|
"step": 30
|
|
},
|
|
{
|
|
"epoch": 16.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.3799992799758911,
|
|
"eval_runtime": 0.6103,
|
|
"eval_samples_per_second": 85.198,
|
|
"eval_steps_per_second": 3.277,
|
|
"step": 32
|
|
},
|
|
{
|
|
"epoch": 17.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.3404345512390137,
|
|
"eval_runtime": 0.6343,
|
|
"eval_samples_per_second": 81.985,
|
|
"eval_steps_per_second": 3.153,
|
|
"step": 34
|
|
},
|
|
{
|
|
"epoch": 18.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.333656907081604,
|
|
"eval_runtime": 0.5981,
|
|
"eval_samples_per_second": 86.938,
|
|
"eval_steps_per_second": 3.344,
|
|
"step": 36
|
|
},
|
|
{
|
|
"epoch": 19.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.360221028327942,
|
|
"eval_runtime": 0.6045,
|
|
"eval_samples_per_second": 86.016,
|
|
"eval_steps_per_second": 3.308,
|
|
"step": 38
|
|
},
|
|
{
|
|
"epoch": 20.0,
|
|
"learning_rate": 3.3333333333333335e-05,
|
|
"loss": 1.2738,
|
|
"step": 40
|
|
},
|
|
{
|
|
"epoch": 20.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.3383551836013794,
|
|
"eval_runtime": 0.606,
|
|
"eval_samples_per_second": 85.809,
|
|
"eval_steps_per_second": 3.3,
|
|
"step": 40
|
|
},
|
|
{
|
|
"epoch": 21.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.324778437614441,
|
|
"eval_runtime": 0.6288,
|
|
"eval_samples_per_second": 82.703,
|
|
"eval_steps_per_second": 3.181,
|
|
"step": 42
|
|
},
|
|
{
|
|
"epoch": 22.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.2693126201629639,
|
|
"eval_runtime": 0.649,
|
|
"eval_samples_per_second": 80.121,
|
|
"eval_steps_per_second": 3.082,
|
|
"step": 44
|
|
},
|
|
{
|
|
"epoch": 23.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.2394922971725464,
|
|
"eval_runtime": 0.6309,
|
|
"eval_samples_per_second": 82.421,
|
|
"eval_steps_per_second": 3.17,
|
|
"step": 46
|
|
},
|
|
{
|
|
"epoch": 24.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.2427353858947754,
|
|
"eval_runtime": 0.5994,
|
|
"eval_samples_per_second": 86.758,
|
|
"eval_steps_per_second": 3.337,
|
|
"step": 48
|
|
},
|
|
{
|
|
"epoch": 25.0,
|
|
"learning_rate": 3.0555555555555554e-05,
|
|
"loss": 1.2283,
|
|
"step": 50
|
|
},
|
|
{
|
|
"epoch": 25.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.2884917259216309,
|
|
"eval_runtime": 0.6483,
|
|
"eval_samples_per_second": 80.212,
|
|
"eval_steps_per_second": 3.085,
|
|
"step": 50
|
|
},
|
|
{
|
|
"epoch": 26.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.2916259765625,
|
|
"eval_runtime": 0.6262,
|
|
"eval_samples_per_second": 83.039,
|
|
"eval_steps_per_second": 3.194,
|
|
"step": 52
|
|
},
|
|
{
|
|
"epoch": 27.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.2353298664093018,
|
|
"eval_runtime": 0.6205,
|
|
"eval_samples_per_second": 83.797,
|
|
"eval_steps_per_second": 3.223,
|
|
"step": 54
|
|
},
|
|
{
|
|
"epoch": 28.0,
|
|
"eval_accuracy": 0.40384615384615385,
|
|
"eval_loss": 1.2031632661819458,
|
|
"eval_runtime": 0.6285,
|
|
"eval_samples_per_second": 82.735,
|
|
"eval_steps_per_second": 3.182,
|
|
"step": 56
|
|
},
|
|
{
|
|
"epoch": 29.0,
|
|
"eval_accuracy": 0.5576923076923077,
|
|
"eval_loss": 1.209951639175415,
|
|
"eval_runtime": 0.6191,
|
|
"eval_samples_per_second": 83.997,
|
|
"eval_steps_per_second": 3.231,
|
|
"step": 58
|
|
},
|
|
{
|
|
"epoch": 30.0,
|
|
"learning_rate": 2.777777777777778e-05,
|
|
"loss": 1.1804,
|
|
"step": 60
|
|
},
|
|
{
|
|
"epoch": 30.0,
|
|
"eval_accuracy": 0.6153846153846154,
|
|
"eval_loss": 1.210994005203247,
|
|
"eval_runtime": 0.6216,
|
|
"eval_samples_per_second": 83.653,
|
|
"eval_steps_per_second": 3.217,
|
|
"step": 60
|
|
},
|
|
{
|
|
"epoch": 31.0,
|
|
"eval_accuracy": 0.6346153846153846,
|
|
"eval_loss": 1.17095947265625,
|
|
"eval_runtime": 0.6376,
|
|
"eval_samples_per_second": 81.553,
|
|
"eval_steps_per_second": 3.137,
|
|
"step": 62
|
|
},
|
|
{
|
|
"epoch": 32.0,
|
|
"eval_accuracy": 0.6153846153846154,
|
|
"eval_loss": 1.132305383682251,
|
|
"eval_runtime": 0.6381,
|
|
"eval_samples_per_second": 81.492,
|
|
"eval_steps_per_second": 3.134,
|
|
"step": 64
|
|
},
|
|
{
|
|
"epoch": 33.0,
|
|
"eval_accuracy": 0.5961538461538461,
|
|
"eval_loss": 1.1082764863967896,
|
|
"eval_runtime": 0.6131,
|
|
"eval_samples_per_second": 84.813,
|
|
"eval_steps_per_second": 3.262,
|
|
"step": 66
|
|
},
|
|
{
|
|
"epoch": 34.0,
|
|
"eval_accuracy": 0.5961538461538461,
|
|
"eval_loss": 1.09354829788208,
|
|
"eval_runtime": 0.6605,
|
|
"eval_samples_per_second": 78.734,
|
|
"eval_steps_per_second": 3.028,
|
|
"step": 68
|
|
},
|
|
{
|
|
"epoch": 35.0,
|
|
"learning_rate": 2.5e-05,
|
|
"loss": 1.0925,
|
|
"step": 70
|
|
},
|
|
{
|
|
"epoch": 35.0,
|
|
"eval_accuracy": 0.6346153846153846,
|
|
"eval_loss": 1.0853270292282104,
|
|
"eval_runtime": 0.6707,
|
|
"eval_samples_per_second": 77.535,
|
|
"eval_steps_per_second": 2.982,
|
|
"step": 70
|
|
},
|
|
{
|
|
"epoch": 36.0,
|
|
"eval_accuracy": 0.6730769230769231,
|
|
"eval_loss": 1.0622206926345825,
|
|
"eval_runtime": 0.6098,
|
|
"eval_samples_per_second": 85.28,
|
|
"eval_steps_per_second": 3.28,
|
|
"step": 72
|
|
},
|
|
{
|
|
"epoch": 37.0,
|
|
"eval_accuracy": 0.7115384615384616,
|
|
"eval_loss": 1.015413522720337,
|
|
"eval_runtime": 0.6146,
|
|
"eval_samples_per_second": 84.601,
|
|
"eval_steps_per_second": 3.254,
|
|
"step": 74
|
|
},
|
|
{
|
|
"epoch": 38.0,
|
|
"eval_accuracy": 0.7115384615384616,
|
|
"eval_loss": 0.9900897145271301,
|
|
"eval_runtime": 0.6263,
|
|
"eval_samples_per_second": 83.028,
|
|
"eval_steps_per_second": 3.193,
|
|
"step": 76
|
|
},
|
|
{
|
|
"epoch": 39.0,
|
|
"eval_accuracy": 0.6923076923076923,
|
|
"eval_loss": 0.992486834526062,
|
|
"eval_runtime": 0.6363,
|
|
"eval_samples_per_second": 81.717,
|
|
"eval_steps_per_second": 3.143,
|
|
"step": 78
|
|
},
|
|
{
|
|
"epoch": 40.0,
|
|
"learning_rate": 2.2222222222222227e-05,
|
|
"loss": 0.9981,
|
|
"step": 80
|
|
},
|
|
{
|
|
"epoch": 40.0,
|
|
"eval_accuracy": 0.6730769230769231,
|
|
"eval_loss": 0.9864760041236877,
|
|
"eval_runtime": 0.61,
|
|
"eval_samples_per_second": 85.242,
|
|
"eval_steps_per_second": 3.279,
|
|
"step": 80
|
|
},
|
|
{
|
|
"epoch": 41.0,
|
|
"eval_accuracy": 0.6730769230769231,
|
|
"eval_loss": 0.9539706110954285,
|
|
"eval_runtime": 0.6046,
|
|
"eval_samples_per_second": 86.003,
|
|
"eval_steps_per_second": 3.308,
|
|
"step": 82
|
|
},
|
|
{
|
|
"epoch": 42.0,
|
|
"eval_accuracy": 0.7115384615384616,
|
|
"eval_loss": 0.931605875492096,
|
|
"eval_runtime": 0.61,
|
|
"eval_samples_per_second": 85.247,
|
|
"eval_steps_per_second": 3.279,
|
|
"step": 84
|
|
},
|
|
{
|
|
"epoch": 43.0,
|
|
"eval_accuracy": 0.7115384615384616,
|
|
"eval_loss": 0.9304342269897461,
|
|
"eval_runtime": 0.6185,
|
|
"eval_samples_per_second": 84.076,
|
|
"eval_steps_per_second": 3.234,
|
|
"step": 86
|
|
},
|
|
{
|
|
"epoch": 44.0,
|
|
"eval_accuracy": 0.6923076923076923,
|
|
"eval_loss": 0.9246343970298767,
|
|
"eval_runtime": 0.6813,
|
|
"eval_samples_per_second": 76.322,
|
|
"eval_steps_per_second": 2.935,
|
|
"step": 88
|
|
},
|
|
{
|
|
"epoch": 45.0,
|
|
"learning_rate": 1.9444444444444445e-05,
|
|
"loss": 0.9102,
|
|
"step": 90
|
|
},
|
|
{
|
|
"epoch": 45.0,
|
|
"eval_accuracy": 0.7115384615384616,
|
|
"eval_loss": 0.8784506916999817,
|
|
"eval_runtime": 0.6181,
|
|
"eval_samples_per_second": 84.124,
|
|
"eval_steps_per_second": 3.236,
|
|
"step": 90
|
|
},
|
|
{
|
|
"epoch": 46.0,
|
|
"eval_accuracy": 0.7115384615384616,
|
|
"eval_loss": 0.8422226309776306,
|
|
"eval_runtime": 0.6163,
|
|
"eval_samples_per_second": 84.379,
|
|
"eval_steps_per_second": 3.245,
|
|
"step": 92
|
|
},
|
|
{
|
|
"epoch": 47.0,
|
|
"eval_accuracy": 0.7115384615384616,
|
|
"eval_loss": 0.8381490707397461,
|
|
"eval_runtime": 0.6224,
|
|
"eval_samples_per_second": 83.552,
|
|
"eval_steps_per_second": 3.214,
|
|
"step": 94
|
|
},
|
|
{
|
|
"epoch": 48.0,
|
|
"eval_accuracy": 0.7115384615384616,
|
|
"eval_loss": 0.8359355926513672,
|
|
"eval_runtime": 0.7117,
|
|
"eval_samples_per_second": 73.061,
|
|
"eval_steps_per_second": 2.81,
|
|
"step": 96
|
|
},
|
|
{
|
|
"epoch": 49.0,
|
|
"eval_accuracy": 0.7115384615384616,
|
|
"eval_loss": 0.8444095253944397,
|
|
"eval_runtime": 0.6236,
|
|
"eval_samples_per_second": 83.381,
|
|
"eval_steps_per_second": 3.207,
|
|
"step": 98
|
|
},
|
|
{
|
|
"epoch": 50.0,
|
|
"learning_rate": 1.6666666666666667e-05,
|
|
"loss": 0.8496,
|
|
"step": 100
|
|
},
|
|
{
|
|
"epoch": 50.0,
|
|
"eval_accuracy": 0.6730769230769231,
|
|
"eval_loss": 0.8286628127098083,
|
|
"eval_runtime": 0.6989,
|
|
"eval_samples_per_second": 74.398,
|
|
"eval_steps_per_second": 2.861,
|
|
"step": 100
|
|
},
|
|
{
|
|
"epoch": 51.0,
|
|
"eval_accuracy": 0.6923076923076923,
|
|
"eval_loss": 0.7973195314407349,
|
|
"eval_runtime": 0.6329,
|
|
"eval_samples_per_second": 82.162,
|
|
"eval_steps_per_second": 3.16,
|
|
"step": 102
|
|
},
|
|
{
|
|
"epoch": 52.0,
|
|
"eval_accuracy": 0.6923076923076923,
|
|
"eval_loss": 0.779899537563324,
|
|
"eval_runtime": 0.6256,
|
|
"eval_samples_per_second": 83.126,
|
|
"eval_steps_per_second": 3.197,
|
|
"step": 104
|
|
},
|
|
{
|
|
"epoch": 53.0,
|
|
"eval_accuracy": 0.6923076923076923,
|
|
"eval_loss": 0.7779891490936279,
|
|
"eval_runtime": 0.6343,
|
|
"eval_samples_per_second": 81.978,
|
|
"eval_steps_per_second": 3.153,
|
|
"step": 106
|
|
},
|
|
{
|
|
"epoch": 54.0,
|
|
"eval_accuracy": 0.7115384615384616,
|
|
"eval_loss": 0.7819709181785583,
|
|
"eval_runtime": 0.6007,
|
|
"eval_samples_per_second": 86.573,
|
|
"eval_steps_per_second": 3.33,
|
|
"step": 108
|
|
},
|
|
{
|
|
"epoch": 55.0,
|
|
"learning_rate": 1.388888888888889e-05,
|
|
"loss": 0.7808,
|
|
"step": 110
|
|
},
|
|
{
|
|
"epoch": 55.0,
|
|
"eval_accuracy": 0.7115384615384616,
|
|
"eval_loss": 0.7896474599838257,
|
|
"eval_runtime": 0.6289,
|
|
"eval_samples_per_second": 82.683,
|
|
"eval_steps_per_second": 3.18,
|
|
"step": 110
|
|
},
|
|
{
|
|
"epoch": 56.0,
|
|
"eval_accuracy": 0.6923076923076923,
|
|
"eval_loss": 0.7737353444099426,
|
|
"eval_runtime": 0.6167,
|
|
"eval_samples_per_second": 84.318,
|
|
"eval_steps_per_second": 3.243,
|
|
"step": 112
|
|
},
|
|
{
|
|
"epoch": 57.0,
|
|
"eval_accuracy": 0.6730769230769231,
|
|
"eval_loss": 0.763085663318634,
|
|
"eval_runtime": 0.6137,
|
|
"eval_samples_per_second": 84.73,
|
|
"eval_steps_per_second": 3.259,
|
|
"step": 114
|
|
},
|
|
{
|
|
"epoch": 58.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.7635093927383423,
|
|
"eval_runtime": 0.6433,
|
|
"eval_samples_per_second": 80.831,
|
|
"eval_steps_per_second": 3.109,
|
|
"step": 116
|
|
},
|
|
{
|
|
"epoch": 59.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.7779039144515991,
|
|
"eval_runtime": 0.6338,
|
|
"eval_samples_per_second": 82.04,
|
|
"eval_steps_per_second": 3.155,
|
|
"step": 118
|
|
},
|
|
{
|
|
"epoch": 60.0,
|
|
"learning_rate": 1.1111111111111113e-05,
|
|
"loss": 0.757,
|
|
"step": 120
|
|
},
|
|
{
|
|
"epoch": 60.0,
|
|
"eval_accuracy": 0.6730769230769231,
|
|
"eval_loss": 0.7990029454231262,
|
|
"eval_runtime": 0.6164,
|
|
"eval_samples_per_second": 84.361,
|
|
"eval_steps_per_second": 3.245,
|
|
"step": 120
|
|
},
|
|
{
|
|
"epoch": 61.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.8221505880355835,
|
|
"eval_runtime": 0.7222,
|
|
"eval_samples_per_second": 72.007,
|
|
"eval_steps_per_second": 2.769,
|
|
"step": 122
|
|
},
|
|
{
|
|
"epoch": 62.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.8203845620155334,
|
|
"eval_runtime": 0.6138,
|
|
"eval_samples_per_second": 84.723,
|
|
"eval_steps_per_second": 3.259,
|
|
"step": 124
|
|
},
|
|
{
|
|
"epoch": 63.0,
|
|
"eval_accuracy": 0.6730769230769231,
|
|
"eval_loss": 0.7964361906051636,
|
|
"eval_runtime": 0.6279,
|
|
"eval_samples_per_second": 82.819,
|
|
"eval_steps_per_second": 3.185,
|
|
"step": 126
|
|
},
|
|
{
|
|
"epoch": 64.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.7818092107772827,
|
|
"eval_runtime": 0.6388,
|
|
"eval_samples_per_second": 81.404,
|
|
"eval_steps_per_second": 3.131,
|
|
"step": 128
|
|
},
|
|
{
|
|
"epoch": 65.0,
|
|
"learning_rate": 8.333333333333334e-06,
|
|
"loss": 0.6919,
|
|
"step": 130
|
|
},
|
|
{
|
|
"epoch": 65.0,
|
|
"eval_accuracy": 0.6346153846153846,
|
|
"eval_loss": 0.7795537710189819,
|
|
"eval_runtime": 0.6964,
|
|
"eval_samples_per_second": 74.666,
|
|
"eval_steps_per_second": 2.872,
|
|
"step": 130
|
|
},
|
|
{
|
|
"epoch": 66.0,
|
|
"eval_accuracy": 0.6346153846153846,
|
|
"eval_loss": 0.7831135392189026,
|
|
"eval_runtime": 0.6247,
|
|
"eval_samples_per_second": 83.245,
|
|
"eval_steps_per_second": 3.202,
|
|
"step": 132
|
|
},
|
|
{
|
|
"epoch": 67.0,
|
|
"eval_accuracy": 0.6346153846153846,
|
|
"eval_loss": 0.7866898775100708,
|
|
"eval_runtime": 0.6084,
|
|
"eval_samples_per_second": 85.464,
|
|
"eval_steps_per_second": 3.287,
|
|
"step": 134
|
|
},
|
|
{
|
|
"epoch": 68.0,
|
|
"eval_accuracy": 0.6346153846153846,
|
|
"eval_loss": 0.785628080368042,
|
|
"eval_runtime": 0.6378,
|
|
"eval_samples_per_second": 81.531,
|
|
"eval_steps_per_second": 3.136,
|
|
"step": 136
|
|
},
|
|
{
|
|
"epoch": 69.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.7793223857879639,
|
|
"eval_runtime": 0.6338,
|
|
"eval_samples_per_second": 82.043,
|
|
"eval_steps_per_second": 3.156,
|
|
"step": 138
|
|
},
|
|
{
|
|
"epoch": 70.0,
|
|
"learning_rate": 5.555555555555557e-06,
|
|
"loss": 0.6722,
|
|
"step": 140
|
|
},
|
|
{
|
|
"epoch": 70.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.7736176252365112,
|
|
"eval_runtime": 0.6283,
|
|
"eval_samples_per_second": 82.765,
|
|
"eval_steps_per_second": 3.183,
|
|
"step": 140
|
|
},
|
|
{
|
|
"epoch": 71.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.7681865692138672,
|
|
"eval_runtime": 0.6291,
|
|
"eval_samples_per_second": 82.652,
|
|
"eval_steps_per_second": 3.179,
|
|
"step": 142
|
|
},
|
|
{
|
|
"epoch": 72.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.7681340575218201,
|
|
"eval_runtime": 0.6524,
|
|
"eval_samples_per_second": 79.701,
|
|
"eval_steps_per_second": 3.065,
|
|
"step": 144
|
|
},
|
|
{
|
|
"epoch": 73.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.767238199710846,
|
|
"eval_runtime": 0.7594,
|
|
"eval_samples_per_second": 68.472,
|
|
"eval_steps_per_second": 2.634,
|
|
"step": 146
|
|
},
|
|
{
|
|
"epoch": 74.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.7654622793197632,
|
|
"eval_runtime": 0.667,
|
|
"eval_samples_per_second": 77.964,
|
|
"eval_steps_per_second": 2.999,
|
|
"step": 148
|
|
},
|
|
{
|
|
"epoch": 75.0,
|
|
"learning_rate": 2.7777777777777783e-06,
|
|
"loss": 0.6642,
|
|
"step": 150
|
|
},
|
|
{
|
|
"epoch": 75.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.7645394802093506,
|
|
"eval_runtime": 0.6584,
|
|
"eval_samples_per_second": 78.985,
|
|
"eval_steps_per_second": 3.038,
|
|
"step": 150
|
|
},
|
|
{
|
|
"epoch": 76.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.7657662630081177,
|
|
"eval_runtime": 0.6248,
|
|
"eval_samples_per_second": 83.227,
|
|
"eval_steps_per_second": 3.201,
|
|
"step": 152
|
|
},
|
|
{
|
|
"epoch": 77.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.7677300572395325,
|
|
"eval_runtime": 0.6243,
|
|
"eval_samples_per_second": 83.292,
|
|
"eval_steps_per_second": 3.204,
|
|
"step": 154
|
|
},
|
|
{
|
|
"epoch": 78.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.7683091759681702,
|
|
"eval_runtime": 0.619,
|
|
"eval_samples_per_second": 84.01,
|
|
"eval_steps_per_second": 3.231,
|
|
"step": 156
|
|
},
|
|
{
|
|
"epoch": 79.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.7683802247047424,
|
|
"eval_runtime": 0.6429,
|
|
"eval_samples_per_second": 80.882,
|
|
"eval_steps_per_second": 3.111,
|
|
"step": 158
|
|
},
|
|
{
|
|
"epoch": 80.0,
|
|
"learning_rate": 0.0,
|
|
"loss": 0.6491,
|
|
"step": 160
|
|
},
|
|
{
|
|
"epoch": 80.0,
|
|
"eval_accuracy": 0.6538461538461539,
|
|
"eval_loss": 0.7686132192611694,
|
|
"eval_runtime": 0.7019,
|
|
"eval_samples_per_second": 74.089,
|
|
"eval_steps_per_second": 2.85,
|
|
"step": 160
|
|
},
|
|
{
|
|
"epoch": 80.0,
|
|
"step": 160,
|
|
"total_flos": 6.195054311689421e+17,
|
|
"train_loss": 1.0117311209440232,
|
|
"train_runtime": 462.6508,
|
|
"train_samples_per_second": 41.154,
|
|
"train_steps_per_second": 0.346
|
|
}
|
|
],
|
|
"logging_steps": 10,
|
|
"max_steps": 160,
|
|
"num_input_tokens_seen": 0,
|
|
"num_train_epochs": 80,
|
|
"save_steps": 500,
|
|
"total_flos": 6.195054311689421e+17,
|
|
"train_batch_size": 32,
|
|
"trial_name": null,
|
|
"trial_params": null
|
|
}
|
|
|