Abhi4's picture
End of training
3b26b96
{
"best_metric": 0.9542522341244007,
"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-891",
"epoch": 2.9974768713204374,
"eval_steps": 500,
"global_step": 891,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03,
"learning_rate": 5.555555555555556e-06,
"loss": 1.4401,
"step": 10
},
{
"epoch": 0.07,
"learning_rate": 1.1111111111111112e-05,
"loss": 1.2308,
"step": 20
},
{
"epoch": 0.1,
"learning_rate": 1.6666666666666667e-05,
"loss": 1.0281,
"step": 30
},
{
"epoch": 0.13,
"learning_rate": 2.2222222222222223e-05,
"loss": 0.7868,
"step": 40
},
{
"epoch": 0.17,
"learning_rate": 2.777777777777778e-05,
"loss": 0.6257,
"step": 50
},
{
"epoch": 0.2,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.5137,
"step": 60
},
{
"epoch": 0.24,
"learning_rate": 3.888888888888889e-05,
"loss": 0.4353,
"step": 70
},
{
"epoch": 0.27,
"learning_rate": 4.4444444444444447e-05,
"loss": 0.3919,
"step": 80
},
{
"epoch": 0.3,
"learning_rate": 5e-05,
"loss": 0.3527,
"step": 90
},
{
"epoch": 0.34,
"learning_rate": 4.937578027465668e-05,
"loss": 0.3347,
"step": 100
},
{
"epoch": 0.37,
"learning_rate": 4.875156054931336e-05,
"loss": 0.3382,
"step": 110
},
{
"epoch": 0.4,
"learning_rate": 4.812734082397004e-05,
"loss": 0.3293,
"step": 120
},
{
"epoch": 0.44,
"learning_rate": 4.750312109862672e-05,
"loss": 0.306,
"step": 130
},
{
"epoch": 0.47,
"learning_rate": 4.6878901373283394e-05,
"loss": 0.3289,
"step": 140
},
{
"epoch": 0.5,
"learning_rate": 4.625468164794008e-05,
"loss": 0.3055,
"step": 150
},
{
"epoch": 0.54,
"learning_rate": 4.563046192259676e-05,
"loss": 0.2949,
"step": 160
},
{
"epoch": 0.57,
"learning_rate": 4.500624219725343e-05,
"loss": 0.2854,
"step": 170
},
{
"epoch": 0.61,
"learning_rate": 4.438202247191011e-05,
"loss": 0.268,
"step": 180
},
{
"epoch": 0.64,
"learning_rate": 4.37578027465668e-05,
"loss": 0.2899,
"step": 190
},
{
"epoch": 0.67,
"learning_rate": 4.313358302122347e-05,
"loss": 0.2937,
"step": 200
},
{
"epoch": 0.71,
"learning_rate": 4.250936329588015e-05,
"loss": 0.2753,
"step": 210
},
{
"epoch": 0.74,
"learning_rate": 4.188514357053683e-05,
"loss": 0.2696,
"step": 220
},
{
"epoch": 0.77,
"learning_rate": 4.126092384519351e-05,
"loss": 0.2766,
"step": 230
},
{
"epoch": 0.81,
"learning_rate": 4.063670411985019e-05,
"loss": 0.2766,
"step": 240
},
{
"epoch": 0.84,
"learning_rate": 4.001248439450687e-05,
"loss": 0.2655,
"step": 250
},
{
"epoch": 0.87,
"learning_rate": 3.938826466916355e-05,
"loss": 0.2761,
"step": 260
},
{
"epoch": 0.91,
"learning_rate": 3.876404494382023e-05,
"loss": 0.2692,
"step": 270
},
{
"epoch": 0.94,
"learning_rate": 3.813982521847691e-05,
"loss": 0.2506,
"step": 280
},
{
"epoch": 0.98,
"learning_rate": 3.751560549313358e-05,
"loss": 0.2667,
"step": 290
},
{
"epoch": 1.0,
"eval_accuracy": 0.937740427294786,
"eval_loss": 0.18165645003318787,
"eval_runtime": 229.3453,
"eval_samples_per_second": 73.675,
"eval_steps_per_second": 0.58,
"step": 297
},
{
"epoch": 1.01,
"learning_rate": 3.689138576779027e-05,
"loss": 0.249,
"step": 300
},
{
"epoch": 1.04,
"learning_rate": 3.626716604244694e-05,
"loss": 0.2632,
"step": 310
},
{
"epoch": 1.08,
"learning_rate": 3.564294631710362e-05,
"loss": 0.2292,
"step": 320
},
{
"epoch": 1.11,
"learning_rate": 3.5018726591760305e-05,
"loss": 0.2536,
"step": 330
},
{
"epoch": 1.14,
"learning_rate": 3.439450686641698e-05,
"loss": 0.238,
"step": 340
},
{
"epoch": 1.18,
"learning_rate": 3.377028714107366e-05,
"loss": 0.2302,
"step": 350
},
{
"epoch": 1.21,
"learning_rate": 3.314606741573034e-05,
"loss": 0.2605,
"step": 360
},
{
"epoch": 1.24,
"learning_rate": 3.252184769038702e-05,
"loss": 0.2571,
"step": 370
},
{
"epoch": 1.28,
"learning_rate": 3.1897627965043697e-05,
"loss": 0.2433,
"step": 380
},
{
"epoch": 1.31,
"learning_rate": 3.1273408239700376e-05,
"loss": 0.2536,
"step": 390
},
{
"epoch": 1.35,
"learning_rate": 3.0649188514357056e-05,
"loss": 0.226,
"step": 400
},
{
"epoch": 1.38,
"learning_rate": 3.0024968789013735e-05,
"loss": 0.2288,
"step": 410
},
{
"epoch": 1.41,
"learning_rate": 2.940074906367041e-05,
"loss": 0.2502,
"step": 420
},
{
"epoch": 1.45,
"learning_rate": 2.877652933832709e-05,
"loss": 0.2209,
"step": 430
},
{
"epoch": 1.48,
"learning_rate": 2.8152309612983774e-05,
"loss": 0.2293,
"step": 440
},
{
"epoch": 1.51,
"learning_rate": 2.752808988764045e-05,
"loss": 0.2247,
"step": 450
},
{
"epoch": 1.55,
"learning_rate": 2.690387016229713e-05,
"loss": 0.2417,
"step": 460
},
{
"epoch": 1.58,
"learning_rate": 2.6279650436953806e-05,
"loss": 0.2214,
"step": 470
},
{
"epoch": 1.61,
"learning_rate": 2.565543071161049e-05,
"loss": 0.2261,
"step": 480
},
{
"epoch": 1.65,
"learning_rate": 2.503121098626717e-05,
"loss": 0.2205,
"step": 490
},
{
"epoch": 1.68,
"learning_rate": 2.4406991260923848e-05,
"loss": 0.2222,
"step": 500
},
{
"epoch": 1.72,
"learning_rate": 2.3782771535580524e-05,
"loss": 0.2303,
"step": 510
},
{
"epoch": 1.75,
"learning_rate": 2.3158551810237207e-05,
"loss": 0.2364,
"step": 520
},
{
"epoch": 1.78,
"learning_rate": 2.2534332084893883e-05,
"loss": 0.2258,
"step": 530
},
{
"epoch": 1.82,
"learning_rate": 2.1910112359550563e-05,
"loss": 0.2136,
"step": 540
},
{
"epoch": 1.85,
"learning_rate": 2.1285892634207243e-05,
"loss": 0.2143,
"step": 550
},
{
"epoch": 1.88,
"learning_rate": 2.0661672908863922e-05,
"loss": 0.2158,
"step": 560
},
{
"epoch": 1.92,
"learning_rate": 2.00374531835206e-05,
"loss": 0.2145,
"step": 570
},
{
"epoch": 1.95,
"learning_rate": 1.9413233458177278e-05,
"loss": 0.2095,
"step": 580
},
{
"epoch": 1.98,
"learning_rate": 1.8789013732833958e-05,
"loss": 0.2182,
"step": 590
},
{
"epoch": 2.0,
"eval_accuracy": 0.9513523110611352,
"eval_loss": 0.13847923278808594,
"eval_runtime": 213.5242,
"eval_samples_per_second": 79.134,
"eval_steps_per_second": 0.623,
"step": 594
},
{
"epoch": 2.02,
"learning_rate": 1.8164794007490637e-05,
"loss": 0.2117,
"step": 600
},
{
"epoch": 2.05,
"learning_rate": 1.7540574282147317e-05,
"loss": 0.2208,
"step": 610
},
{
"epoch": 2.09,
"learning_rate": 1.6916354556803996e-05,
"loss": 0.2172,
"step": 620
},
{
"epoch": 2.12,
"learning_rate": 1.6292134831460676e-05,
"loss": 0.217,
"step": 630
},
{
"epoch": 2.15,
"learning_rate": 1.5667915106117352e-05,
"loss": 0.224,
"step": 640
},
{
"epoch": 2.19,
"learning_rate": 1.5043695380774033e-05,
"loss": 0.2207,
"step": 650
},
{
"epoch": 2.22,
"learning_rate": 1.4419475655430711e-05,
"loss": 0.2246,
"step": 660
},
{
"epoch": 2.25,
"learning_rate": 1.3795255930087393e-05,
"loss": 0.2191,
"step": 670
},
{
"epoch": 2.29,
"learning_rate": 1.3171036204744069e-05,
"loss": 0.2131,
"step": 680
},
{
"epoch": 2.32,
"learning_rate": 1.254681647940075e-05,
"loss": 0.215,
"step": 690
},
{
"epoch": 2.35,
"learning_rate": 1.192259675405743e-05,
"loss": 0.2187,
"step": 700
},
{
"epoch": 2.39,
"learning_rate": 1.1298377028714107e-05,
"loss": 0.2083,
"step": 710
},
{
"epoch": 2.42,
"learning_rate": 1.0674157303370787e-05,
"loss": 0.2087,
"step": 720
},
{
"epoch": 2.46,
"learning_rate": 1.0049937578027465e-05,
"loss": 0.2124,
"step": 730
},
{
"epoch": 2.49,
"learning_rate": 9.425717852684144e-06,
"loss": 0.2159,
"step": 740
},
{
"epoch": 2.52,
"learning_rate": 8.801498127340826e-06,
"loss": 0.2225,
"step": 750
},
{
"epoch": 2.56,
"learning_rate": 8.177278401997504e-06,
"loss": 0.2092,
"step": 760
},
{
"epoch": 2.59,
"learning_rate": 7.553058676654183e-06,
"loss": 0.2158,
"step": 770
},
{
"epoch": 2.62,
"learning_rate": 6.928838951310862e-06,
"loss": 0.2133,
"step": 780
},
{
"epoch": 2.66,
"learning_rate": 6.304619225967541e-06,
"loss": 0.2096,
"step": 790
},
{
"epoch": 2.69,
"learning_rate": 5.68039950062422e-06,
"loss": 0.2188,
"step": 800
},
{
"epoch": 2.72,
"learning_rate": 5.056179775280899e-06,
"loss": 0.2079,
"step": 810
},
{
"epoch": 2.76,
"learning_rate": 4.431960049937578e-06,
"loss": 0.1982,
"step": 820
},
{
"epoch": 2.79,
"learning_rate": 3.8077403245942577e-06,
"loss": 0.2136,
"step": 830
},
{
"epoch": 2.83,
"learning_rate": 3.1835205992509364e-06,
"loss": 0.2107,
"step": 840
},
{
"epoch": 2.86,
"learning_rate": 2.5593008739076156e-06,
"loss": 0.207,
"step": 850
},
{
"epoch": 2.89,
"learning_rate": 1.9350811485642947e-06,
"loss": 0.22,
"step": 860
},
{
"epoch": 2.93,
"learning_rate": 1.310861423220974e-06,
"loss": 0.2026,
"step": 870
},
{
"epoch": 2.96,
"learning_rate": 6.86641697877653e-07,
"loss": 0.1997,
"step": 880
},
{
"epoch": 2.99,
"learning_rate": 6.242197253433209e-08,
"loss": 0.1934,
"step": 890
},
{
"epoch": 3.0,
"eval_accuracy": 0.9542522341244007,
"eval_loss": 0.12796051800251007,
"eval_runtime": 168.4469,
"eval_samples_per_second": 100.311,
"eval_steps_per_second": 0.79,
"step": 891
},
{
"epoch": 3.0,
"step": 891,
"total_flos": 1.1333721525654528e+19,
"train_loss": 0.29157684335336675,
"train_runtime": 8152.4652,
"train_samples_per_second": 55.96,
"train_steps_per_second": 0.109
}
],
"logging_steps": 10,
"max_steps": 891,
"num_train_epochs": 3,
"save_steps": 500,
"total_flos": 1.1333721525654528e+19,
"trial_name": null,
"trial_params": null
}