dima806's picture
Upload folder using huggingface_hub
1f1ec1a
raw
history blame contribute delete
No virus
14.3 kB
{
"best_metric": 0.18469373881816864,
"best_model_checkpoint": "vessel_ship_types_image_detection/checkpoint-6650",
"epoch": 50.0,
"eval_steps": 500,
"global_step": 6650,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.7160377358490566,
"eval_loss": 1.4629170894622803,
"eval_runtime": 18.5467,
"eval_samples_per_second": 114.306,
"eval_steps_per_second": 3.613,
"step": 133
},
{
"epoch": 2.0,
"eval_accuracy": 0.8495283018867924,
"eval_loss": 1.2206131219863892,
"eval_runtime": 18.2977,
"eval_samples_per_second": 115.862,
"eval_steps_per_second": 3.662,
"step": 266
},
{
"epoch": 3.0,
"eval_accuracy": 0.870754716981132,
"eval_loss": 1.0089887380599976,
"eval_runtime": 18.4043,
"eval_samples_per_second": 115.19,
"eval_steps_per_second": 3.64,
"step": 399
},
{
"epoch": 3.76,
"learning_rate": 1.8636363636363635e-06,
"loss": 1.1877,
"step": 500
},
{
"epoch": 4.0,
"eval_accuracy": 0.8962264150943396,
"eval_loss": 0.8400751352310181,
"eval_runtime": 18.4514,
"eval_samples_per_second": 114.896,
"eval_steps_per_second": 3.631,
"step": 532
},
{
"epoch": 5.0,
"eval_accuracy": 0.9155660377358491,
"eval_loss": 0.714967668056488,
"eval_runtime": 18.5178,
"eval_samples_per_second": 114.484,
"eval_steps_per_second": 3.618,
"step": 665
},
{
"epoch": 6.0,
"eval_accuracy": 0.9292452830188679,
"eval_loss": 0.625623345375061,
"eval_runtime": 18.8638,
"eval_samples_per_second": 112.385,
"eval_steps_per_second": 3.552,
"step": 798
},
{
"epoch": 7.0,
"eval_accuracy": 0.9382075471698114,
"eval_loss": 0.556588888168335,
"eval_runtime": 18.4533,
"eval_samples_per_second": 114.885,
"eval_steps_per_second": 3.631,
"step": 931
},
{
"epoch": 7.52,
"learning_rate": 1.712121212121212e-06,
"loss": 0.5507,
"step": 1000
},
{
"epoch": 8.0,
"eval_accuracy": 0.9424528301886792,
"eval_loss": 0.5028243064880371,
"eval_runtime": 18.7405,
"eval_samples_per_second": 113.124,
"eval_steps_per_second": 3.575,
"step": 1064
},
{
"epoch": 9.0,
"eval_accuracy": 0.9481132075471698,
"eval_loss": 0.4585725665092468,
"eval_runtime": 18.5812,
"eval_samples_per_second": 114.094,
"eval_steps_per_second": 3.606,
"step": 1197
},
{
"epoch": 10.0,
"eval_accuracy": 0.9495283018867925,
"eval_loss": 0.42831137776374817,
"eval_runtime": 18.6399,
"eval_samples_per_second": 113.734,
"eval_steps_per_second": 3.594,
"step": 1330
},
{
"epoch": 11.0,
"eval_accuracy": 0.9537735849056603,
"eval_loss": 0.398691326379776,
"eval_runtime": 18.7098,
"eval_samples_per_second": 113.309,
"eval_steps_per_second": 3.581,
"step": 1463
},
{
"epoch": 11.28,
"learning_rate": 1.5606060606060604e-06,
"loss": 0.3457,
"step": 1500
},
{
"epoch": 12.0,
"eval_accuracy": 0.9556603773584905,
"eval_loss": 0.37774720788002014,
"eval_runtime": 18.6811,
"eval_samples_per_second": 113.484,
"eval_steps_per_second": 3.587,
"step": 1596
},
{
"epoch": 13.0,
"eval_accuracy": 0.9570754716981132,
"eval_loss": 0.35789886116981506,
"eval_runtime": 19.0448,
"eval_samples_per_second": 111.317,
"eval_steps_per_second": 3.518,
"step": 1729
},
{
"epoch": 14.0,
"eval_accuracy": 0.9584905660377359,
"eval_loss": 0.3406927287578583,
"eval_runtime": 18.7362,
"eval_samples_per_second": 113.15,
"eval_steps_per_second": 3.576,
"step": 1862
},
{
"epoch": 15.0,
"eval_accuracy": 0.9580188679245283,
"eval_loss": 0.3256920874118805,
"eval_runtime": 18.4691,
"eval_samples_per_second": 114.786,
"eval_steps_per_second": 3.628,
"step": 1995
},
{
"epoch": 15.04,
"learning_rate": 1.409090909090909e-06,
"loss": 0.2582,
"step": 2000
},
{
"epoch": 16.0,
"eval_accuracy": 0.9589622641509434,
"eval_loss": 0.3142967224121094,
"eval_runtime": 18.7522,
"eval_samples_per_second": 113.053,
"eval_steps_per_second": 3.573,
"step": 2128
},
{
"epoch": 17.0,
"eval_accuracy": 0.9599056603773585,
"eval_loss": 0.30126336216926575,
"eval_runtime": 18.4133,
"eval_samples_per_second": 115.134,
"eval_steps_per_second": 3.639,
"step": 2261
},
{
"epoch": 18.0,
"eval_accuracy": 0.9627358490566038,
"eval_loss": 0.29247793555259705,
"eval_runtime": 18.4149,
"eval_samples_per_second": 115.124,
"eval_steps_per_second": 3.638,
"step": 2394
},
{
"epoch": 18.8,
"learning_rate": 1.2575757575757576e-06,
"loss": 0.2081,
"step": 2500
},
{
"epoch": 19.0,
"eval_accuracy": 0.9617924528301887,
"eval_loss": 0.2814226746559143,
"eval_runtime": 18.5345,
"eval_samples_per_second": 114.381,
"eval_steps_per_second": 3.615,
"step": 2527
},
{
"epoch": 20.0,
"eval_accuracy": 0.964622641509434,
"eval_loss": 0.27146387100219727,
"eval_runtime": 18.387,
"eval_samples_per_second": 115.299,
"eval_steps_per_second": 3.644,
"step": 2660
},
{
"epoch": 21.0,
"eval_accuracy": 0.9627358490566038,
"eval_loss": 0.26703450083732605,
"eval_runtime": 18.3186,
"eval_samples_per_second": 115.73,
"eval_steps_per_second": 3.657,
"step": 2793
},
{
"epoch": 22.0,
"eval_accuracy": 0.9650943396226415,
"eval_loss": 0.2572649121284485,
"eval_runtime": 18.5302,
"eval_samples_per_second": 114.408,
"eval_steps_per_second": 3.616,
"step": 2926
},
{
"epoch": 22.56,
"learning_rate": 1.106060606060606e-06,
"loss": 0.1768,
"step": 3000
},
{
"epoch": 23.0,
"eval_accuracy": 0.964622641509434,
"eval_loss": 0.2507427930831909,
"eval_runtime": 18.696,
"eval_samples_per_second": 113.393,
"eval_steps_per_second": 3.584,
"step": 3059
},
{
"epoch": 24.0,
"eval_accuracy": 0.9660377358490566,
"eval_loss": 0.24606208503246307,
"eval_runtime": 18.2252,
"eval_samples_per_second": 116.322,
"eval_steps_per_second": 3.676,
"step": 3192
},
{
"epoch": 25.0,
"eval_accuracy": 0.9679245283018868,
"eval_loss": 0.2419576346874237,
"eval_runtime": 18.4449,
"eval_samples_per_second": 114.937,
"eval_steps_per_second": 3.632,
"step": 3325
},
{
"epoch": 26.0,
"eval_accuracy": 0.965566037735849,
"eval_loss": 0.23377002775669098,
"eval_runtime": 18.4276,
"eval_samples_per_second": 115.045,
"eval_steps_per_second": 3.636,
"step": 3458
},
{
"epoch": 26.32,
"learning_rate": 9.545454545454546e-07,
"loss": 0.154,
"step": 3500
},
{
"epoch": 27.0,
"eval_accuracy": 0.9683962264150944,
"eval_loss": 0.22959384322166443,
"eval_runtime": 18.5635,
"eval_samples_per_second": 114.203,
"eval_steps_per_second": 3.609,
"step": 3591
},
{
"epoch": 28.0,
"eval_accuracy": 0.9674528301886792,
"eval_loss": 0.22633853554725647,
"eval_runtime": 18.435,
"eval_samples_per_second": 114.999,
"eval_steps_per_second": 3.634,
"step": 3724
},
{
"epoch": 29.0,
"eval_accuracy": 0.9669811320754716,
"eval_loss": 0.22211851179599762,
"eval_runtime": 18.6045,
"eval_samples_per_second": 113.951,
"eval_steps_per_second": 3.601,
"step": 3857
},
{
"epoch": 30.0,
"eval_accuracy": 0.9674528301886792,
"eval_loss": 0.21722418069839478,
"eval_runtime": 18.5078,
"eval_samples_per_second": 114.546,
"eval_steps_per_second": 3.62,
"step": 3990
},
{
"epoch": 30.08,
"learning_rate": 8.030303030303029e-07,
"loss": 0.137,
"step": 4000
},
{
"epoch": 31.0,
"eval_accuracy": 0.9688679245283018,
"eval_loss": 0.21657830476760864,
"eval_runtime": 18.4696,
"eval_samples_per_second": 114.783,
"eval_steps_per_second": 3.628,
"step": 4123
},
{
"epoch": 32.0,
"eval_accuracy": 0.9693396226415094,
"eval_loss": 0.21263349056243896,
"eval_runtime": 18.5165,
"eval_samples_per_second": 114.492,
"eval_steps_per_second": 3.618,
"step": 4256
},
{
"epoch": 33.0,
"eval_accuracy": 0.9693396226415094,
"eval_loss": 0.20656518638134003,
"eval_runtime": 18.53,
"eval_samples_per_second": 114.409,
"eval_steps_per_second": 3.616,
"step": 4389
},
{
"epoch": 33.83,
"learning_rate": 6.515151515151515e-07,
"loss": 0.1249,
"step": 4500
},
{
"epoch": 34.0,
"eval_accuracy": 0.9688679245283018,
"eval_loss": 0.2059292197227478,
"eval_runtime": 18.417,
"eval_samples_per_second": 115.111,
"eval_steps_per_second": 3.638,
"step": 4522
},
{
"epoch": 35.0,
"eval_accuracy": 0.9688679245283018,
"eval_loss": 0.202570378780365,
"eval_runtime": 18.4563,
"eval_samples_per_second": 114.866,
"eval_steps_per_second": 3.63,
"step": 4655
},
{
"epoch": 36.0,
"eval_accuracy": 0.9683962264150944,
"eval_loss": 0.20071472227573395,
"eval_runtime": 18.5005,
"eval_samples_per_second": 114.591,
"eval_steps_per_second": 3.622,
"step": 4788
},
{
"epoch": 37.0,
"eval_accuracy": 0.9702830188679246,
"eval_loss": 0.19722311198711395,
"eval_runtime": 18.4376,
"eval_samples_per_second": 114.982,
"eval_steps_per_second": 3.634,
"step": 4921
},
{
"epoch": 37.59,
"learning_rate": 5e-07,
"loss": 0.115,
"step": 5000
},
{
"epoch": 38.0,
"eval_accuracy": 0.9712264150943396,
"eval_loss": 0.19501303136348724,
"eval_runtime": 18.4088,
"eval_samples_per_second": 115.162,
"eval_steps_per_second": 3.64,
"step": 5054
},
{
"epoch": 39.0,
"eval_accuracy": 0.9702830188679246,
"eval_loss": 0.19410006701946259,
"eval_runtime": 18.3341,
"eval_samples_per_second": 115.632,
"eval_steps_per_second": 3.654,
"step": 5187
},
{
"epoch": 40.0,
"eval_accuracy": 0.9702830188679246,
"eval_loss": 0.192692831158638,
"eval_runtime": 18.4143,
"eval_samples_per_second": 115.128,
"eval_steps_per_second": 3.638,
"step": 5320
},
{
"epoch": 41.0,
"eval_accuracy": 0.9693396226415094,
"eval_loss": 0.19077734649181366,
"eval_runtime": 18.4866,
"eval_samples_per_second": 114.678,
"eval_steps_per_second": 3.624,
"step": 5453
},
{
"epoch": 41.35,
"learning_rate": 3.484848484848485e-07,
"loss": 0.1092,
"step": 5500
},
{
"epoch": 42.0,
"eval_accuracy": 0.9712264150943396,
"eval_loss": 0.18846099078655243,
"eval_runtime": 18.4309,
"eval_samples_per_second": 115.024,
"eval_steps_per_second": 3.635,
"step": 5586
},
{
"epoch": 43.0,
"eval_accuracy": 0.970754716981132,
"eval_loss": 0.18755605816841125,
"eval_runtime": 18.4541,
"eval_samples_per_second": 114.88,
"eval_steps_per_second": 3.631,
"step": 5719
},
{
"epoch": 44.0,
"eval_accuracy": 0.9702830188679246,
"eval_loss": 0.18720585107803345,
"eval_runtime": 18.5754,
"eval_samples_per_second": 114.129,
"eval_steps_per_second": 3.607,
"step": 5852
},
{
"epoch": 45.0,
"eval_accuracy": 0.9726415094339622,
"eval_loss": 0.1874205619096756,
"eval_runtime": 18.384,
"eval_samples_per_second": 115.318,
"eval_steps_per_second": 3.644,
"step": 5985
},
{
"epoch": 45.11,
"learning_rate": 1.9696969696969696e-07,
"loss": 0.1037,
"step": 6000
},
{
"epoch": 46.0,
"eval_accuracy": 0.9726415094339622,
"eval_loss": 0.18643254041671753,
"eval_runtime": 18.3487,
"eval_samples_per_second": 115.54,
"eval_steps_per_second": 3.651,
"step": 6118
},
{
"epoch": 47.0,
"eval_accuracy": 0.9721698113207548,
"eval_loss": 0.1849406659603119,
"eval_runtime": 18.5194,
"eval_samples_per_second": 114.474,
"eval_steps_per_second": 3.618,
"step": 6251
},
{
"epoch": 48.0,
"eval_accuracy": 0.9712264150943396,
"eval_loss": 0.18540790677070618,
"eval_runtime": 18.5314,
"eval_samples_per_second": 114.4,
"eval_steps_per_second": 3.615,
"step": 6384
},
{
"epoch": 48.87,
"learning_rate": 4.545454545454545e-08,
"loss": 0.1022,
"step": 6500
},
{
"epoch": 49.0,
"eval_accuracy": 0.9712264150943396,
"eval_loss": 0.18494902551174164,
"eval_runtime": 18.5992,
"eval_samples_per_second": 113.983,
"eval_steps_per_second": 3.602,
"step": 6517
},
{
"epoch": 50.0,
"eval_accuracy": 0.9712264150943396,
"eval_loss": 0.18469373881816864,
"eval_runtime": 18.4003,
"eval_samples_per_second": 115.216,
"eval_steps_per_second": 3.641,
"step": 6650
}
],
"logging_steps": 500,
"max_steps": 6650,
"num_train_epochs": 50,
"save_steps": 500,
"total_flos": 3.285748704662323e+19,
"trial_name": null,
"trial_params": null
}