mmomm25's picture
Training in progress, epoch 0
07cff62 verified
raw
history blame
14.4 kB
{
"best_metric": 0.4108576774597168,
"best_model_checkpoint": "vit-base-patch16-224-in21k-crack-detectorVITmain50epochs\\checkpoint-1114",
"epoch": 0.9993272034088361,
"eval_steps": 500,
"global_step": 1114,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 8.976660682226213e-08,
"loss": 1.3961,
"step": 10
},
{
"epoch": 0.02,
"learning_rate": 1.7953321364452426e-07,
"loss": 1.395,
"step": 20
},
{
"epoch": 0.03,
"learning_rate": 2.692998204667864e-07,
"loss": 1.3978,
"step": 30
},
{
"epoch": 0.04,
"learning_rate": 3.590664272890485e-07,
"loss": 1.3963,
"step": 40
},
{
"epoch": 0.04,
"learning_rate": 4.4883303411131064e-07,
"loss": 1.3907,
"step": 50
},
{
"epoch": 0.05,
"learning_rate": 5.385996409335728e-07,
"loss": 1.396,
"step": 60
},
{
"epoch": 0.06,
"learning_rate": 6.283662477558349e-07,
"loss": 1.3885,
"step": 70
},
{
"epoch": 0.07,
"learning_rate": 7.18132854578097e-07,
"loss": 1.387,
"step": 80
},
{
"epoch": 0.08,
"learning_rate": 8.078994614003591e-07,
"loss": 1.3894,
"step": 90
},
{
"epoch": 0.09,
"learning_rate": 8.976660682226213e-07,
"loss": 1.3806,
"step": 100
},
{
"epoch": 0.1,
"learning_rate": 9.874326750448833e-07,
"loss": 1.383,
"step": 110
},
{
"epoch": 0.11,
"learning_rate": 1.0771992818671456e-06,
"loss": 1.3764,
"step": 120
},
{
"epoch": 0.12,
"learning_rate": 1.1669658886894075e-06,
"loss": 1.3688,
"step": 130
},
{
"epoch": 0.13,
"learning_rate": 1.2567324955116697e-06,
"loss": 1.3708,
"step": 140
},
{
"epoch": 0.13,
"learning_rate": 1.3464991023339318e-06,
"loss": 1.366,
"step": 150
},
{
"epoch": 0.14,
"learning_rate": 1.436265709156194e-06,
"loss": 1.371,
"step": 160
},
{
"epoch": 0.15,
"learning_rate": 1.5260323159784561e-06,
"loss": 1.3558,
"step": 170
},
{
"epoch": 0.16,
"learning_rate": 1.6157989228007182e-06,
"loss": 1.3584,
"step": 180
},
{
"epoch": 0.17,
"learning_rate": 1.7055655296229805e-06,
"loss": 1.3409,
"step": 190
},
{
"epoch": 0.18,
"learning_rate": 1.7953321364452425e-06,
"loss": 1.346,
"step": 200
},
{
"epoch": 0.19,
"learning_rate": 1.8850987432675046e-06,
"loss": 1.3355,
"step": 210
},
{
"epoch": 0.2,
"learning_rate": 1.9748653500897667e-06,
"loss": 1.3323,
"step": 220
},
{
"epoch": 0.21,
"learning_rate": 2.064631956912029e-06,
"loss": 1.3231,
"step": 230
},
{
"epoch": 0.22,
"learning_rate": 2.1543985637342912e-06,
"loss": 1.3129,
"step": 240
},
{
"epoch": 0.22,
"learning_rate": 2.244165170556553e-06,
"loss": 1.3178,
"step": 250
},
{
"epoch": 0.23,
"learning_rate": 2.333931777378815e-06,
"loss": 1.2953,
"step": 260
},
{
"epoch": 0.24,
"learning_rate": 2.423698384201077e-06,
"loss": 1.2938,
"step": 270
},
{
"epoch": 0.25,
"learning_rate": 2.5134649910233395e-06,
"loss": 1.2849,
"step": 280
},
{
"epoch": 0.26,
"learning_rate": 2.6032315978456015e-06,
"loss": 1.2813,
"step": 290
},
{
"epoch": 0.27,
"learning_rate": 2.6929982046678636e-06,
"loss": 1.2811,
"step": 300
},
{
"epoch": 0.28,
"learning_rate": 2.7827648114901257e-06,
"loss": 1.2526,
"step": 310
},
{
"epoch": 0.29,
"learning_rate": 2.872531418312388e-06,
"loss": 1.2438,
"step": 320
},
{
"epoch": 0.3,
"learning_rate": 2.9622980251346502e-06,
"loss": 1.2145,
"step": 330
},
{
"epoch": 0.31,
"learning_rate": 3.0520646319569123e-06,
"loss": 1.2146,
"step": 340
},
{
"epoch": 0.31,
"learning_rate": 3.1418312387791743e-06,
"loss": 1.1883,
"step": 350
},
{
"epoch": 0.32,
"learning_rate": 3.2315978456014364e-06,
"loss": 1.1891,
"step": 360
},
{
"epoch": 0.33,
"learning_rate": 3.321364452423698e-06,
"loss": 1.1723,
"step": 370
},
{
"epoch": 0.34,
"learning_rate": 3.411131059245961e-06,
"loss": 1.1417,
"step": 380
},
{
"epoch": 0.35,
"learning_rate": 3.500897666068223e-06,
"loss": 1.1338,
"step": 390
},
{
"epoch": 0.36,
"learning_rate": 3.590664272890485e-06,
"loss": 1.1004,
"step": 400
},
{
"epoch": 0.37,
"learning_rate": 3.680430879712747e-06,
"loss": 1.0873,
"step": 410
},
{
"epoch": 0.38,
"learning_rate": 3.770197486535009e-06,
"loss": 1.0358,
"step": 420
},
{
"epoch": 0.39,
"learning_rate": 3.859964093357271e-06,
"loss": 1.0517,
"step": 430
},
{
"epoch": 0.39,
"learning_rate": 3.949730700179533e-06,
"loss": 1.0139,
"step": 440
},
{
"epoch": 0.4,
"learning_rate": 4.039497307001795e-06,
"loss": 1.0294,
"step": 450
},
{
"epoch": 0.41,
"learning_rate": 4.129263913824058e-06,
"loss": 1.0171,
"step": 460
},
{
"epoch": 0.42,
"learning_rate": 4.21903052064632e-06,
"loss": 0.9827,
"step": 470
},
{
"epoch": 0.43,
"learning_rate": 4.3087971274685824e-06,
"loss": 0.9382,
"step": 480
},
{
"epoch": 0.44,
"learning_rate": 4.3985637342908445e-06,
"loss": 0.9145,
"step": 490
},
{
"epoch": 0.45,
"learning_rate": 4.488330341113106e-06,
"loss": 0.9276,
"step": 500
},
{
"epoch": 0.46,
"learning_rate": 4.578096947935368e-06,
"loss": 0.8801,
"step": 510
},
{
"epoch": 0.47,
"learning_rate": 4.66786355475763e-06,
"loss": 0.8906,
"step": 520
},
{
"epoch": 0.48,
"learning_rate": 4.757630161579892e-06,
"loss": 0.9025,
"step": 530
},
{
"epoch": 0.48,
"learning_rate": 4.847396768402154e-06,
"loss": 0.8621,
"step": 540
},
{
"epoch": 0.49,
"learning_rate": 4.937163375224417e-06,
"loss": 0.8653,
"step": 550
},
{
"epoch": 0.5,
"learning_rate": 5.026929982046679e-06,
"loss": 0.8292,
"step": 560
},
{
"epoch": 0.51,
"learning_rate": 5.116696588868941e-06,
"loss": 0.8195,
"step": 570
},
{
"epoch": 0.52,
"learning_rate": 5.206463195691203e-06,
"loss": 0.8026,
"step": 580
},
{
"epoch": 0.53,
"learning_rate": 5.296229802513465e-06,
"loss": 0.841,
"step": 590
},
{
"epoch": 0.54,
"learning_rate": 5.385996409335727e-06,
"loss": 0.778,
"step": 600
},
{
"epoch": 0.55,
"learning_rate": 5.475763016157989e-06,
"loss": 0.7706,
"step": 610
},
{
"epoch": 0.56,
"learning_rate": 5.565529622980251e-06,
"loss": 0.733,
"step": 620
},
{
"epoch": 0.57,
"learning_rate": 5.655296229802514e-06,
"loss": 0.7437,
"step": 630
},
{
"epoch": 0.57,
"learning_rate": 5.745062836624776e-06,
"loss": 0.7644,
"step": 640
},
{
"epoch": 0.58,
"learning_rate": 5.834829443447038e-06,
"loss": 0.7125,
"step": 650
},
{
"epoch": 0.59,
"learning_rate": 5.9245960502693004e-06,
"loss": 0.7146,
"step": 660
},
{
"epoch": 0.6,
"learning_rate": 6.0143626570915625e-06,
"loss": 0.7201,
"step": 670
},
{
"epoch": 0.61,
"learning_rate": 6.1041292639138246e-06,
"loss": 0.6851,
"step": 680
},
{
"epoch": 0.62,
"learning_rate": 6.193895870736087e-06,
"loss": 0.6417,
"step": 690
},
{
"epoch": 0.63,
"learning_rate": 6.283662477558349e-06,
"loss": 0.6656,
"step": 700
},
{
"epoch": 0.64,
"learning_rate": 6.373429084380611e-06,
"loss": 0.6122,
"step": 710
},
{
"epoch": 0.65,
"learning_rate": 6.463195691202873e-06,
"loss": 0.6536,
"step": 720
},
{
"epoch": 0.65,
"learning_rate": 6.552962298025135e-06,
"loss": 0.6315,
"step": 730
},
{
"epoch": 0.66,
"learning_rate": 6.642728904847396e-06,
"loss": 0.6618,
"step": 740
},
{
"epoch": 0.67,
"learning_rate": 6.732495511669659e-06,
"loss": 0.6346,
"step": 750
},
{
"epoch": 0.68,
"learning_rate": 6.822262118491922e-06,
"loss": 0.6866,
"step": 760
},
{
"epoch": 0.69,
"learning_rate": 6.912028725314183e-06,
"loss": 0.6093,
"step": 770
},
{
"epoch": 0.7,
"learning_rate": 7.001795332136446e-06,
"loss": 0.6116,
"step": 780
},
{
"epoch": 0.71,
"learning_rate": 7.091561938958707e-06,
"loss": 0.602,
"step": 790
},
{
"epoch": 0.72,
"learning_rate": 7.18132854578097e-06,
"loss": 0.6266,
"step": 800
},
{
"epoch": 0.73,
"learning_rate": 7.271095152603231e-06,
"loss": 0.6082,
"step": 810
},
{
"epoch": 0.74,
"learning_rate": 7.360861759425494e-06,
"loss": 0.6194,
"step": 820
},
{
"epoch": 0.74,
"learning_rate": 7.4506283662477555e-06,
"loss": 0.6277,
"step": 830
},
{
"epoch": 0.75,
"learning_rate": 7.540394973070018e-06,
"loss": 0.609,
"step": 840
},
{
"epoch": 0.76,
"learning_rate": 7.630161579892281e-06,
"loss": 0.6252,
"step": 850
},
{
"epoch": 0.77,
"learning_rate": 7.719928186714543e-06,
"loss": 0.5813,
"step": 860
},
{
"epoch": 0.78,
"learning_rate": 7.809694793536805e-06,
"loss": 0.5799,
"step": 870
},
{
"epoch": 0.79,
"learning_rate": 7.899461400359067e-06,
"loss": 0.6398,
"step": 880
},
{
"epoch": 0.8,
"learning_rate": 7.98922800718133e-06,
"loss": 0.5549,
"step": 890
},
{
"epoch": 0.81,
"learning_rate": 8.07899461400359e-06,
"loss": 0.6023,
"step": 900
},
{
"epoch": 0.82,
"learning_rate": 8.168761220825854e-06,
"loss": 0.582,
"step": 910
},
{
"epoch": 0.83,
"learning_rate": 8.258527827648117e-06,
"loss": 0.544,
"step": 920
},
{
"epoch": 0.83,
"learning_rate": 8.348294434470378e-06,
"loss": 0.5912,
"step": 930
},
{
"epoch": 0.84,
"learning_rate": 8.43806104129264e-06,
"loss": 0.5461,
"step": 940
},
{
"epoch": 0.85,
"learning_rate": 8.527827648114902e-06,
"loss": 0.5238,
"step": 950
},
{
"epoch": 0.86,
"learning_rate": 8.617594254937165e-06,
"loss": 0.5558,
"step": 960
},
{
"epoch": 0.87,
"learning_rate": 8.707360861759426e-06,
"loss": 0.5371,
"step": 970
},
{
"epoch": 0.88,
"learning_rate": 8.797127468581689e-06,
"loss": 0.5529,
"step": 980
},
{
"epoch": 0.89,
"learning_rate": 8.88689407540395e-06,
"loss": 0.5691,
"step": 990
},
{
"epoch": 0.9,
"learning_rate": 8.976660682226211e-06,
"loss": 0.5567,
"step": 1000
},
{
"epoch": 0.91,
"learning_rate": 9.066427289048474e-06,
"loss": 0.5135,
"step": 1010
},
{
"epoch": 0.92,
"learning_rate": 9.156193895870736e-06,
"loss": 0.5099,
"step": 1020
},
{
"epoch": 0.92,
"learning_rate": 9.245960502692998e-06,
"loss": 0.5422,
"step": 1030
},
{
"epoch": 0.93,
"learning_rate": 9.33572710951526e-06,
"loss": 0.5106,
"step": 1040
},
{
"epoch": 0.94,
"learning_rate": 9.425493716337523e-06,
"loss": 0.4892,
"step": 1050
},
{
"epoch": 0.95,
"learning_rate": 9.515260323159784e-06,
"loss": 0.4541,
"step": 1060
},
{
"epoch": 0.96,
"learning_rate": 9.605026929982047e-06,
"loss": 0.4675,
"step": 1070
},
{
"epoch": 0.97,
"learning_rate": 9.694793536804308e-06,
"loss": 0.5123,
"step": 1080
},
{
"epoch": 0.98,
"learning_rate": 9.784560143626571e-06,
"loss": 0.5089,
"step": 1090
},
{
"epoch": 0.99,
"learning_rate": 9.874326750448834e-06,
"loss": 0.5233,
"step": 1100
},
{
"epoch": 1.0,
"learning_rate": 9.964093357271095e-06,
"loss": 0.5622,
"step": 1110
},
{
"epoch": 1.0,
"eval_accuracy": {
"accuracy": 0.8736263736263736
},
"eval_f1": {
"f1": 0.8653360894930927
},
"eval_loss": 0.4108576774597168,
"eval_precision": {
"precision": 0.8669392826942903
},
"eval_recall": {
"recall": 0.8641606609285752
},
"eval_runtime": 236.9507,
"eval_samples_per_second": 75.273,
"eval_steps_per_second": 4.706,
"step": 1114
}
],
"logging_steps": 10,
"max_steps": 55700,
"num_input_tokens_seen": 0,
"num_train_epochs": 50,
"save_steps": 500,
"total_flos": 5.528377635528868e+18,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}