mmomm25's picture
Training in progress, epoch 2
0289dd3 verified
raw
history blame
No virus
14.9 kB
{
"best_metric": 0.2781514525413513,
"best_model_checkpoint": "swin-tiny-patch4-window7-224-crack-detectorMAIN50epochsFINAL\\checkpoint-1115",
"epoch": 2.0,
"eval_steps": 500,
"global_step": 1115,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"learning_rate": 1.7953321364452426e-07,
"loss": 1.4257,
"step": 10
},
{
"epoch": 0.04,
"learning_rate": 3.590664272890485e-07,
"loss": 1.4227,
"step": 20
},
{
"epoch": 0.05,
"learning_rate": 5.385996409335728e-07,
"loss": 1.4112,
"step": 30
},
{
"epoch": 0.07,
"learning_rate": 7.18132854578097e-07,
"loss": 1.4052,
"step": 40
},
{
"epoch": 0.09,
"learning_rate": 8.976660682226213e-07,
"loss": 1.3954,
"step": 50
},
{
"epoch": 0.11,
"learning_rate": 1.0771992818671456e-06,
"loss": 1.3978,
"step": 60
},
{
"epoch": 0.13,
"learning_rate": 1.2567324955116697e-06,
"loss": 1.3862,
"step": 70
},
{
"epoch": 0.14,
"learning_rate": 1.436265709156194e-06,
"loss": 1.3651,
"step": 80
},
{
"epoch": 0.16,
"learning_rate": 1.6157989228007182e-06,
"loss": 1.359,
"step": 90
},
{
"epoch": 0.18,
"learning_rate": 1.7953321364452425e-06,
"loss": 1.3476,
"step": 100
},
{
"epoch": 0.2,
"learning_rate": 1.9748653500897667e-06,
"loss": 1.3303,
"step": 110
},
{
"epoch": 0.22,
"learning_rate": 2.1543985637342912e-06,
"loss": 1.3047,
"step": 120
},
{
"epoch": 0.23,
"learning_rate": 2.333931777378815e-06,
"loss": 1.2944,
"step": 130
},
{
"epoch": 0.25,
"learning_rate": 2.5134649910233395e-06,
"loss": 1.284,
"step": 140
},
{
"epoch": 0.27,
"learning_rate": 2.6929982046678636e-06,
"loss": 1.23,
"step": 150
},
{
"epoch": 0.29,
"learning_rate": 2.872531418312388e-06,
"loss": 1.2103,
"step": 160
},
{
"epoch": 0.3,
"learning_rate": 3.0520646319569123e-06,
"loss": 1.187,
"step": 170
},
{
"epoch": 0.32,
"learning_rate": 3.2315978456014364e-06,
"loss": 1.1591,
"step": 180
},
{
"epoch": 0.34,
"learning_rate": 3.411131059245961e-06,
"loss": 1.144,
"step": 190
},
{
"epoch": 0.36,
"learning_rate": 3.590664272890485e-06,
"loss": 1.0904,
"step": 200
},
{
"epoch": 0.38,
"learning_rate": 3.770197486535009e-06,
"loss": 1.0401,
"step": 210
},
{
"epoch": 0.39,
"learning_rate": 3.949730700179533e-06,
"loss": 1.0281,
"step": 220
},
{
"epoch": 0.41,
"learning_rate": 4.129263913824058e-06,
"loss": 0.9577,
"step": 230
},
{
"epoch": 0.43,
"learning_rate": 4.3087971274685824e-06,
"loss": 0.9251,
"step": 240
},
{
"epoch": 0.45,
"learning_rate": 4.488330341113106e-06,
"loss": 0.8964,
"step": 250
},
{
"epoch": 0.47,
"learning_rate": 4.66786355475763e-06,
"loss": 0.8897,
"step": 260
},
{
"epoch": 0.48,
"learning_rate": 4.847396768402154e-06,
"loss": 0.8481,
"step": 270
},
{
"epoch": 0.5,
"learning_rate": 5.026929982046679e-06,
"loss": 0.8048,
"step": 280
},
{
"epoch": 0.52,
"learning_rate": 5.206463195691203e-06,
"loss": 0.8014,
"step": 290
},
{
"epoch": 0.54,
"learning_rate": 5.385996409335727e-06,
"loss": 0.7511,
"step": 300
},
{
"epoch": 0.56,
"learning_rate": 5.565529622980251e-06,
"loss": 0.741,
"step": 310
},
{
"epoch": 0.57,
"learning_rate": 5.745062836624776e-06,
"loss": 0.7327,
"step": 320
},
{
"epoch": 0.59,
"learning_rate": 5.9245960502693004e-06,
"loss": 0.7492,
"step": 330
},
{
"epoch": 0.61,
"learning_rate": 6.1041292639138246e-06,
"loss": 0.7613,
"step": 340
},
{
"epoch": 0.63,
"learning_rate": 6.283662477558349e-06,
"loss": 0.6902,
"step": 350
},
{
"epoch": 0.65,
"learning_rate": 6.463195691202873e-06,
"loss": 0.6687,
"step": 360
},
{
"epoch": 0.66,
"learning_rate": 6.642728904847396e-06,
"loss": 0.6623,
"step": 370
},
{
"epoch": 0.68,
"learning_rate": 6.822262118491922e-06,
"loss": 0.6901,
"step": 380
},
{
"epoch": 0.7,
"learning_rate": 7.001795332136446e-06,
"loss": 0.6638,
"step": 390
},
{
"epoch": 0.72,
"learning_rate": 7.18132854578097e-06,
"loss": 0.6414,
"step": 400
},
{
"epoch": 0.74,
"learning_rate": 7.360861759425494e-06,
"loss": 0.6877,
"step": 410
},
{
"epoch": 0.75,
"learning_rate": 7.540394973070018e-06,
"loss": 0.6249,
"step": 420
},
{
"epoch": 0.77,
"learning_rate": 7.719928186714543e-06,
"loss": 0.6099,
"step": 430
},
{
"epoch": 0.79,
"learning_rate": 7.899461400359067e-06,
"loss": 0.6321,
"step": 440
},
{
"epoch": 0.81,
"learning_rate": 8.07899461400359e-06,
"loss": 0.6431,
"step": 450
},
{
"epoch": 0.83,
"learning_rate": 8.258527827648117e-06,
"loss": 0.6404,
"step": 460
},
{
"epoch": 0.84,
"learning_rate": 8.43806104129264e-06,
"loss": 0.6148,
"step": 470
},
{
"epoch": 0.86,
"learning_rate": 8.617594254937165e-06,
"loss": 0.5844,
"step": 480
},
{
"epoch": 0.88,
"learning_rate": 8.797127468581689e-06,
"loss": 0.6316,
"step": 490
},
{
"epoch": 0.9,
"learning_rate": 8.976660682226211e-06,
"loss": 0.6018,
"step": 500
},
{
"epoch": 0.91,
"learning_rate": 9.156193895870736e-06,
"loss": 0.5843,
"step": 510
},
{
"epoch": 0.93,
"learning_rate": 9.33572710951526e-06,
"loss": 0.5986,
"step": 520
},
{
"epoch": 0.95,
"learning_rate": 9.515260323159784e-06,
"loss": 0.5718,
"step": 530
},
{
"epoch": 0.97,
"learning_rate": 9.694793536804308e-06,
"loss": 0.5163,
"step": 540
},
{
"epoch": 0.99,
"learning_rate": 9.874326750448834e-06,
"loss": 0.5448,
"step": 550
},
{
"epoch": 1.0,
"eval_accuracy": {
"accuracy": 0.8387530836510428
},
"eval_f1": {
"f1": 0.8242528613153339
},
"eval_loss": 0.43474748730659485,
"eval_precision": {
"precision": 0.8238035334510331
},
"eval_recall": {
"recall": 0.8266051811271123
},
"eval_runtime": 171.551,
"eval_samples_per_second": 103.969,
"eval_steps_per_second": 3.253,
"step": 557
},
{
"epoch": 1.0,
"learning_rate": 1.0053859964093358e-05,
"loss": 0.58,
"step": 560
},
{
"epoch": 1.02,
"learning_rate": 1.0233393177737882e-05,
"loss": 0.5298,
"step": 570
},
{
"epoch": 1.04,
"learning_rate": 1.0412926391382406e-05,
"loss": 0.5592,
"step": 580
},
{
"epoch": 1.06,
"learning_rate": 1.059245960502693e-05,
"loss": 0.5352,
"step": 590
},
{
"epoch": 1.08,
"learning_rate": 1.0771992818671454e-05,
"loss": 0.5683,
"step": 600
},
{
"epoch": 1.09,
"learning_rate": 1.0951526032315979e-05,
"loss": 0.571,
"step": 610
},
{
"epoch": 1.11,
"learning_rate": 1.1131059245960503e-05,
"loss": 0.5603,
"step": 620
},
{
"epoch": 1.13,
"learning_rate": 1.1310592459605028e-05,
"loss": 0.5157,
"step": 630
},
{
"epoch": 1.15,
"learning_rate": 1.1490125673249553e-05,
"loss": 0.4885,
"step": 640
},
{
"epoch": 1.17,
"learning_rate": 1.1669658886894077e-05,
"loss": 0.5005,
"step": 650
},
{
"epoch": 1.18,
"learning_rate": 1.1849192100538601e-05,
"loss": 0.4951,
"step": 660
},
{
"epoch": 1.2,
"learning_rate": 1.2028725314183125e-05,
"loss": 0.5197,
"step": 670
},
{
"epoch": 1.22,
"learning_rate": 1.2208258527827649e-05,
"loss": 0.4746,
"step": 680
},
{
"epoch": 1.24,
"learning_rate": 1.2387791741472173e-05,
"loss": 0.486,
"step": 690
},
{
"epoch": 1.26,
"learning_rate": 1.2567324955116697e-05,
"loss": 0.4932,
"step": 700
},
{
"epoch": 1.27,
"learning_rate": 1.2746858168761221e-05,
"loss": 0.5222,
"step": 710
},
{
"epoch": 1.29,
"learning_rate": 1.2926391382405746e-05,
"loss": 0.434,
"step": 720
},
{
"epoch": 1.31,
"learning_rate": 1.310592459605027e-05,
"loss": 0.4817,
"step": 730
},
{
"epoch": 1.33,
"learning_rate": 1.3285457809694792e-05,
"loss": 0.487,
"step": 740
},
{
"epoch": 1.35,
"learning_rate": 1.3464991023339318e-05,
"loss": 0.4478,
"step": 750
},
{
"epoch": 1.36,
"learning_rate": 1.3644524236983844e-05,
"loss": 0.4564,
"step": 760
},
{
"epoch": 1.38,
"learning_rate": 1.3824057450628366e-05,
"loss": 0.4455,
"step": 770
},
{
"epoch": 1.4,
"learning_rate": 1.4003590664272892e-05,
"loss": 0.4701,
"step": 780
},
{
"epoch": 1.42,
"learning_rate": 1.4183123877917415e-05,
"loss": 0.4333,
"step": 790
},
{
"epoch": 1.43,
"learning_rate": 1.436265709156194e-05,
"loss": 0.4409,
"step": 800
},
{
"epoch": 1.45,
"learning_rate": 1.4542190305206463e-05,
"loss": 0.4639,
"step": 810
},
{
"epoch": 1.47,
"learning_rate": 1.4721723518850989e-05,
"loss": 0.4552,
"step": 820
},
{
"epoch": 1.49,
"learning_rate": 1.4901256732495511e-05,
"loss": 0.4759,
"step": 830
},
{
"epoch": 1.51,
"learning_rate": 1.5080789946140037e-05,
"loss": 0.4584,
"step": 840
},
{
"epoch": 1.52,
"learning_rate": 1.5260323159784563e-05,
"loss": 0.4502,
"step": 850
},
{
"epoch": 1.54,
"learning_rate": 1.5439856373429085e-05,
"loss": 0.4519,
"step": 860
},
{
"epoch": 1.56,
"learning_rate": 1.561938958707361e-05,
"loss": 0.4695,
"step": 870
},
{
"epoch": 1.58,
"learning_rate": 1.5798922800718133e-05,
"loss": 0.4466,
"step": 880
},
{
"epoch": 1.6,
"learning_rate": 1.597845601436266e-05,
"loss": 0.4531,
"step": 890
},
{
"epoch": 1.61,
"learning_rate": 1.615798922800718e-05,
"loss": 0.4674,
"step": 900
},
{
"epoch": 1.63,
"learning_rate": 1.6337522441651707e-05,
"loss": 0.4262,
"step": 910
},
{
"epoch": 1.65,
"learning_rate": 1.6517055655296233e-05,
"loss": 0.3945,
"step": 920
},
{
"epoch": 1.67,
"learning_rate": 1.6696588868940756e-05,
"loss": 0.4318,
"step": 930
},
{
"epoch": 1.69,
"learning_rate": 1.687612208258528e-05,
"loss": 0.439,
"step": 940
},
{
"epoch": 1.7,
"learning_rate": 1.7055655296229804e-05,
"loss": 0.4036,
"step": 950
},
{
"epoch": 1.72,
"learning_rate": 1.723518850987433e-05,
"loss": 0.422,
"step": 960
},
{
"epoch": 1.74,
"learning_rate": 1.7414721723518852e-05,
"loss": 0.4315,
"step": 970
},
{
"epoch": 1.76,
"learning_rate": 1.7594254937163378e-05,
"loss": 0.4516,
"step": 980
},
{
"epoch": 1.78,
"learning_rate": 1.77737881508079e-05,
"loss": 0.4092,
"step": 990
},
{
"epoch": 1.79,
"learning_rate": 1.7953321364452423e-05,
"loss": 0.4367,
"step": 1000
},
{
"epoch": 1.81,
"learning_rate": 1.813285457809695e-05,
"loss": 0.4321,
"step": 1010
},
{
"epoch": 1.83,
"learning_rate": 1.831238779174147e-05,
"loss": 0.3859,
"step": 1020
},
{
"epoch": 1.85,
"learning_rate": 1.8491921005385997e-05,
"loss": 0.415,
"step": 1030
},
{
"epoch": 1.87,
"learning_rate": 1.867145421903052e-05,
"loss": 0.4388,
"step": 1040
},
{
"epoch": 1.88,
"learning_rate": 1.8850987432675045e-05,
"loss": 0.3968,
"step": 1050
},
{
"epoch": 1.9,
"learning_rate": 1.9030520646319568e-05,
"loss": 0.4172,
"step": 1060
},
{
"epoch": 1.92,
"learning_rate": 1.9210053859964093e-05,
"loss": 0.4593,
"step": 1070
},
{
"epoch": 1.94,
"learning_rate": 1.9389587073608616e-05,
"loss": 0.3924,
"step": 1080
},
{
"epoch": 1.96,
"learning_rate": 1.9569120287253142e-05,
"loss": 0.4067,
"step": 1090
},
{
"epoch": 1.97,
"learning_rate": 1.9748653500897668e-05,
"loss": 0.3906,
"step": 1100
},
{
"epoch": 1.99,
"learning_rate": 1.992818671454219e-05,
"loss": 0.3915,
"step": 1110
},
{
"epoch": 2.0,
"eval_accuracy": {
"accuracy": 0.8952679973088137
},
"eval_f1": {
"f1": 0.8895212539619177
},
"eval_loss": 0.2781514525413513,
"eval_precision": {
"precision": 0.8895590270096669
},
"eval_recall": {
"recall": 0.892156947982043
},
"eval_runtime": 99.0662,
"eval_samples_per_second": 180.041,
"eval_steps_per_second": 5.633,
"step": 1115
}
],
"logging_steps": 10,
"max_steps": 27850,
"num_input_tokens_seen": 0,
"num_train_epochs": 50,
"save_steps": 500,
"total_flos": 3.546650701349683e+18,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}