ALM-AHME's picture
End of training
2dc96a6
{
"best_metric": 1.0,
"best_model_checkpoint": "beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-60-20-20/checkpoint-700",
"epoch": 4.9733570159857905,
"global_step": 700,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.04,
"learning_rate": 7.142857142857143e-07,
"loss": 1.6004,
"step": 5
},
{
"epoch": 0.07,
"learning_rate": 1.4285714285714286e-06,
"loss": 1.325,
"step": 10
},
{
"epoch": 0.11,
"learning_rate": 2.142857142857143e-06,
"loss": 0.9127,
"step": 15
},
{
"epoch": 0.14,
"learning_rate": 2.8571428571428573e-06,
"loss": 0.7454,
"step": 20
},
{
"epoch": 0.18,
"learning_rate": 3.5714285714285714e-06,
"loss": 0.5222,
"step": 25
},
{
"epoch": 0.21,
"learning_rate": 4.285714285714286e-06,
"loss": 0.3041,
"step": 30
},
{
"epoch": 0.25,
"learning_rate": 5e-06,
"loss": 0.2369,
"step": 35
},
{
"epoch": 0.28,
"learning_rate": 5.7142857142857145e-06,
"loss": 0.1788,
"step": 40
},
{
"epoch": 0.32,
"learning_rate": 6.428571428571429e-06,
"loss": 0.1364,
"step": 45
},
{
"epoch": 0.36,
"learning_rate": 7.142857142857143e-06,
"loss": 0.1518,
"step": 50
},
{
"epoch": 0.39,
"learning_rate": 7.857142857142858e-06,
"loss": 0.1596,
"step": 55
},
{
"epoch": 0.43,
"learning_rate": 8.571428571428573e-06,
"loss": 0.1156,
"step": 60
},
{
"epoch": 0.46,
"learning_rate": 9.285714285714286e-06,
"loss": 0.1384,
"step": 65
},
{
"epoch": 0.5,
"learning_rate": 1e-05,
"loss": 0.1503,
"step": 70
},
{
"epoch": 0.53,
"learning_rate": 1.0714285714285714e-05,
"loss": 0.118,
"step": 75
},
{
"epoch": 0.57,
"learning_rate": 1.1428571428571429e-05,
"loss": 0.142,
"step": 80
},
{
"epoch": 0.6,
"learning_rate": 1.2142857142857144e-05,
"loss": 0.1192,
"step": 85
},
{
"epoch": 0.64,
"learning_rate": 1.2857142857142857e-05,
"loss": 0.1385,
"step": 90
},
{
"epoch": 0.67,
"learning_rate": 1.357142857142857e-05,
"loss": 0.1238,
"step": 95
},
{
"epoch": 0.71,
"learning_rate": 1.4285714285714285e-05,
"loss": 0.1065,
"step": 100
},
{
"epoch": 0.75,
"learning_rate": 1.5e-05,
"loss": 0.0875,
"step": 105
},
{
"epoch": 0.78,
"learning_rate": 1.5714285714285715e-05,
"loss": 0.0809,
"step": 110
},
{
"epoch": 0.82,
"learning_rate": 1.642857142857143e-05,
"loss": 0.0808,
"step": 115
},
{
"epoch": 0.85,
"learning_rate": 1.7142857142857145e-05,
"loss": 0.0823,
"step": 120
},
{
"epoch": 0.89,
"learning_rate": 1.785714285714286e-05,
"loss": 0.1061,
"step": 125
},
{
"epoch": 0.92,
"learning_rate": 1.8571428571428572e-05,
"loss": 0.1104,
"step": 130
},
{
"epoch": 0.96,
"learning_rate": 1.928571428571429e-05,
"loss": 0.0421,
"step": 135
},
{
"epoch": 0.99,
"learning_rate": 2e-05,
"loss": 0.1071,
"step": 140
},
{
"epoch": 0.99,
"eval_accuracy": 0.993,
"eval_loss": 0.01808181218802929,
"eval_runtime": 1679.5269,
"eval_samples_per_second": 1.786,
"eval_steps_per_second": 0.112,
"step": 140
},
{
"epoch": 1.03,
"learning_rate": 2.0714285714285718e-05,
"loss": 0.0572,
"step": 145
},
{
"epoch": 1.07,
"learning_rate": 2.1428571428571428e-05,
"loss": 0.0842,
"step": 150
},
{
"epoch": 1.1,
"learning_rate": 2.214285714285714e-05,
"loss": 0.0668,
"step": 155
},
{
"epoch": 1.14,
"learning_rate": 2.2857142857142858e-05,
"loss": 0.046,
"step": 160
},
{
"epoch": 1.17,
"learning_rate": 2.357142857142857e-05,
"loss": 0.0822,
"step": 165
},
{
"epoch": 1.21,
"learning_rate": 2.4285714285714288e-05,
"loss": 0.0689,
"step": 170
},
{
"epoch": 1.24,
"learning_rate": 2.5e-05,
"loss": 0.1075,
"step": 175
},
{
"epoch": 1.28,
"learning_rate": 2.5714285714285714e-05,
"loss": 0.0331,
"step": 180
},
{
"epoch": 1.31,
"learning_rate": 2.642857142857143e-05,
"loss": 0.0882,
"step": 185
},
{
"epoch": 1.35,
"learning_rate": 2.714285714285714e-05,
"loss": 0.0772,
"step": 190
},
{
"epoch": 1.39,
"learning_rate": 2.785714285714286e-05,
"loss": 0.1812,
"step": 195
},
{
"epoch": 1.42,
"learning_rate": 2.857142857142857e-05,
"loss": 0.1212,
"step": 200
},
{
"epoch": 1.46,
"learning_rate": 2.9285714285714288e-05,
"loss": 0.0471,
"step": 205
},
{
"epoch": 1.49,
"learning_rate": 3e-05,
"loss": 0.0938,
"step": 210
},
{
"epoch": 1.53,
"learning_rate": 3.071428571428572e-05,
"loss": 0.0362,
"step": 215
},
{
"epoch": 1.56,
"learning_rate": 3.142857142857143e-05,
"loss": 0.091,
"step": 220
},
{
"epoch": 1.6,
"learning_rate": 3.2142857142857144e-05,
"loss": 0.0912,
"step": 225
},
{
"epoch": 1.63,
"learning_rate": 3.285714285714286e-05,
"loss": 0.0398,
"step": 230
},
{
"epoch": 1.67,
"learning_rate": 3.357142857142857e-05,
"loss": 0.1107,
"step": 235
},
{
"epoch": 1.71,
"learning_rate": 3.428571428571429e-05,
"loss": 0.1248,
"step": 240
},
{
"epoch": 1.74,
"learning_rate": 3.5e-05,
"loss": 0.0597,
"step": 245
},
{
"epoch": 1.78,
"learning_rate": 3.571428571428572e-05,
"loss": 0.089,
"step": 250
},
{
"epoch": 1.81,
"learning_rate": 3.642857142857143e-05,
"loss": 0.0735,
"step": 255
},
{
"epoch": 1.85,
"learning_rate": 3.7142857142857143e-05,
"loss": 0.1365,
"step": 260
},
{
"epoch": 1.88,
"learning_rate": 3.785714285714286e-05,
"loss": 0.1206,
"step": 265
},
{
"epoch": 1.92,
"learning_rate": 3.857142857142858e-05,
"loss": 0.0985,
"step": 270
},
{
"epoch": 1.95,
"learning_rate": 3.928571428571429e-05,
"loss": 0.0522,
"step": 275
},
{
"epoch": 1.99,
"learning_rate": 4e-05,
"loss": 0.2317,
"step": 280
},
{
"epoch": 2.0,
"eval_accuracy": 0.983,
"eval_loss": 0.047446358948946,
"eval_runtime": 130.3008,
"eval_samples_per_second": 23.024,
"eval_steps_per_second": 1.443,
"step": 281
},
{
"epoch": 2.02,
"learning_rate": 4.0714285714285717e-05,
"loss": 0.1193,
"step": 285
},
{
"epoch": 2.06,
"learning_rate": 4.1428571428571437e-05,
"loss": 0.1147,
"step": 290
},
{
"epoch": 2.1,
"learning_rate": 4.214285714285714e-05,
"loss": 0.1097,
"step": 295
},
{
"epoch": 2.13,
"learning_rate": 4.2857142857142856e-05,
"loss": 0.0535,
"step": 300
},
{
"epoch": 2.17,
"learning_rate": 4.3571428571428576e-05,
"loss": 0.0363,
"step": 305
},
{
"epoch": 2.2,
"learning_rate": 4.428571428571428e-05,
"loss": 0.0717,
"step": 310
},
{
"epoch": 2.24,
"learning_rate": 4.5e-05,
"loss": 0.135,
"step": 315
},
{
"epoch": 2.27,
"learning_rate": 4.5714285714285716e-05,
"loss": 0.0782,
"step": 320
},
{
"epoch": 2.31,
"learning_rate": 4.642857142857143e-05,
"loss": 0.0318,
"step": 325
},
{
"epoch": 2.34,
"learning_rate": 4.714285714285714e-05,
"loss": 0.1323,
"step": 330
},
{
"epoch": 2.38,
"learning_rate": 4.785714285714286e-05,
"loss": 0.0224,
"step": 335
},
{
"epoch": 2.42,
"learning_rate": 4.8571428571428576e-05,
"loss": 0.0766,
"step": 340
},
{
"epoch": 2.45,
"learning_rate": 4.928571428571429e-05,
"loss": 0.055,
"step": 345
},
{
"epoch": 2.49,
"learning_rate": 5e-05,
"loss": 0.0659,
"step": 350
},
{
"epoch": 2.52,
"learning_rate": 4.928571428571429e-05,
"loss": 0.0177,
"step": 355
},
{
"epoch": 2.56,
"learning_rate": 4.8571428571428576e-05,
"loss": 0.0865,
"step": 360
},
{
"epoch": 2.59,
"learning_rate": 4.785714285714286e-05,
"loss": 0.0588,
"step": 365
},
{
"epoch": 2.63,
"learning_rate": 4.714285714285714e-05,
"loss": 0.1111,
"step": 370
},
{
"epoch": 2.66,
"learning_rate": 4.642857142857143e-05,
"loss": 0.0298,
"step": 375
},
{
"epoch": 2.7,
"learning_rate": 4.5714285714285716e-05,
"loss": 0.0682,
"step": 380
},
{
"epoch": 2.74,
"learning_rate": 4.5e-05,
"loss": 0.0502,
"step": 385
},
{
"epoch": 2.77,
"learning_rate": 4.428571428571428e-05,
"loss": 0.0522,
"step": 390
},
{
"epoch": 2.81,
"learning_rate": 4.3571428571428576e-05,
"loss": 0.089,
"step": 395
},
{
"epoch": 2.84,
"learning_rate": 4.2857142857142856e-05,
"loss": 0.0877,
"step": 400
},
{
"epoch": 2.88,
"learning_rate": 4.214285714285714e-05,
"loss": 0.0557,
"step": 405
},
{
"epoch": 2.91,
"learning_rate": 4.1428571428571437e-05,
"loss": 0.0448,
"step": 410
},
{
"epoch": 2.95,
"learning_rate": 4.0714285714285717e-05,
"loss": 0.0283,
"step": 415
},
{
"epoch": 2.98,
"learning_rate": 4e-05,
"loss": 0.0454,
"step": 420
},
{
"epoch": 3.0,
"eval_accuracy": 0.9926666666666667,
"eval_loss": 0.017334768548607826,
"eval_runtime": 129.9512,
"eval_samples_per_second": 23.086,
"eval_steps_per_second": 1.447,
"step": 422
},
{
"epoch": 3.02,
"learning_rate": 3.928571428571429e-05,
"loss": 0.0947,
"step": 425
},
{
"epoch": 3.06,
"learning_rate": 3.857142857142858e-05,
"loss": 0.0823,
"step": 430
},
{
"epoch": 3.09,
"learning_rate": 3.785714285714286e-05,
"loss": 0.0826,
"step": 435
},
{
"epoch": 3.13,
"learning_rate": 3.7142857142857143e-05,
"loss": 0.0438,
"step": 440
},
{
"epoch": 3.16,
"learning_rate": 3.642857142857143e-05,
"loss": 0.0302,
"step": 445
},
{
"epoch": 3.2,
"learning_rate": 3.571428571428572e-05,
"loss": 0.0235,
"step": 450
},
{
"epoch": 3.23,
"learning_rate": 3.5e-05,
"loss": 0.0544,
"step": 455
},
{
"epoch": 3.27,
"learning_rate": 3.428571428571429e-05,
"loss": 0.0493,
"step": 460
},
{
"epoch": 3.3,
"learning_rate": 3.357142857142857e-05,
"loss": 0.0836,
"step": 465
},
{
"epoch": 3.34,
"learning_rate": 3.285714285714286e-05,
"loss": 0.0215,
"step": 470
},
{
"epoch": 3.37,
"learning_rate": 3.2142857142857144e-05,
"loss": 0.0257,
"step": 475
},
{
"epoch": 3.41,
"learning_rate": 3.142857142857143e-05,
"loss": 0.0074,
"step": 480
},
{
"epoch": 3.45,
"learning_rate": 3.071428571428572e-05,
"loss": 0.0548,
"step": 485
},
{
"epoch": 3.48,
"learning_rate": 3e-05,
"loss": 0.0118,
"step": 490
},
{
"epoch": 3.52,
"learning_rate": 2.9285714285714288e-05,
"loss": 0.0219,
"step": 495
},
{
"epoch": 3.55,
"learning_rate": 2.857142857142857e-05,
"loss": 0.0183,
"step": 500
},
{
"epoch": 3.59,
"learning_rate": 2.785714285714286e-05,
"loss": 0.0076,
"step": 505
},
{
"epoch": 3.62,
"learning_rate": 2.714285714285714e-05,
"loss": 0.0566,
"step": 510
},
{
"epoch": 3.66,
"learning_rate": 2.642857142857143e-05,
"loss": 0.0416,
"step": 515
},
{
"epoch": 3.69,
"learning_rate": 2.5714285714285714e-05,
"loss": 0.0093,
"step": 520
},
{
"epoch": 3.73,
"learning_rate": 2.5e-05,
"loss": 0.0252,
"step": 525
},
{
"epoch": 3.77,
"learning_rate": 2.4285714285714288e-05,
"loss": 0.0375,
"step": 530
},
{
"epoch": 3.8,
"learning_rate": 2.357142857142857e-05,
"loss": 0.0286,
"step": 535
},
{
"epoch": 3.84,
"learning_rate": 2.2857142857142858e-05,
"loss": 0.0489,
"step": 540
},
{
"epoch": 3.87,
"learning_rate": 2.214285714285714e-05,
"loss": 0.0116,
"step": 545
},
{
"epoch": 3.91,
"learning_rate": 2.1428571428571428e-05,
"loss": 0.0326,
"step": 550
},
{
"epoch": 3.94,
"learning_rate": 2.0714285714285718e-05,
"loss": 0.0452,
"step": 555
},
{
"epoch": 3.98,
"learning_rate": 2e-05,
"loss": 0.0299,
"step": 560
},
{
"epoch": 4.0,
"eval_accuracy": 0.994,
"eval_loss": 0.015278426930308342,
"eval_runtime": 129.7962,
"eval_samples_per_second": 23.113,
"eval_steps_per_second": 1.448,
"step": 563
},
{
"epoch": 4.01,
"learning_rate": 1.928571428571429e-05,
"loss": 0.0435,
"step": 565
},
{
"epoch": 4.05,
"learning_rate": 1.8571428571428572e-05,
"loss": 0.04,
"step": 570
},
{
"epoch": 4.09,
"learning_rate": 1.785714285714286e-05,
"loss": 0.026,
"step": 575
},
{
"epoch": 4.12,
"learning_rate": 1.7142857142857145e-05,
"loss": 0.0144,
"step": 580
},
{
"epoch": 4.16,
"learning_rate": 1.642857142857143e-05,
"loss": 0.0621,
"step": 585
},
{
"epoch": 4.19,
"learning_rate": 1.5714285714285715e-05,
"loss": 0.0041,
"step": 590
},
{
"epoch": 4.23,
"learning_rate": 1.5e-05,
"loss": 0.0172,
"step": 595
},
{
"epoch": 4.26,
"learning_rate": 1.4285714285714285e-05,
"loss": 0.0023,
"step": 600
},
{
"epoch": 4.3,
"learning_rate": 1.357142857142857e-05,
"loss": 0.0239,
"step": 605
},
{
"epoch": 4.33,
"learning_rate": 1.2857142857142857e-05,
"loss": 0.0153,
"step": 610
},
{
"epoch": 4.37,
"learning_rate": 1.2142857142857144e-05,
"loss": 0.0142,
"step": 615
},
{
"epoch": 4.4,
"learning_rate": 1.1428571428571429e-05,
"loss": 0.0156,
"step": 620
},
{
"epoch": 4.44,
"learning_rate": 1.0714285714285714e-05,
"loss": 0.0158,
"step": 625
},
{
"epoch": 4.48,
"learning_rate": 1e-05,
"loss": 0.0434,
"step": 630
},
{
"epoch": 4.51,
"learning_rate": 9.285714285714286e-06,
"loss": 0.0107,
"step": 635
},
{
"epoch": 4.55,
"learning_rate": 8.571428571428573e-06,
"loss": 0.0443,
"step": 640
},
{
"epoch": 4.58,
"learning_rate": 7.857142857142858e-06,
"loss": 0.0151,
"step": 645
},
{
"epoch": 4.62,
"learning_rate": 7.142857142857143e-06,
"loss": 0.0074,
"step": 650
},
{
"epoch": 4.65,
"learning_rate": 6.428571428571429e-06,
"loss": 0.0024,
"step": 655
},
{
"epoch": 4.69,
"learning_rate": 5.7142857142857145e-06,
"loss": 0.0114,
"step": 660
},
{
"epoch": 4.72,
"learning_rate": 5e-06,
"loss": 0.0011,
"step": 665
},
{
"epoch": 4.76,
"learning_rate": 4.285714285714286e-06,
"loss": 0.01,
"step": 670
},
{
"epoch": 4.8,
"learning_rate": 3.5714285714285714e-06,
"loss": 0.0225,
"step": 675
},
{
"epoch": 4.83,
"learning_rate": 2.8571428571428573e-06,
"loss": 0.0255,
"step": 680
},
{
"epoch": 4.87,
"learning_rate": 2.142857142857143e-06,
"loss": 0.0012,
"step": 685
},
{
"epoch": 4.9,
"learning_rate": 1.4285714285714286e-06,
"loss": 0.0259,
"step": 690
},
{
"epoch": 4.94,
"learning_rate": 7.142857142857143e-07,
"loss": 0.0208,
"step": 695
},
{
"epoch": 4.97,
"learning_rate": 0.0,
"loss": 0.0055,
"step": 700
},
{
"epoch": 4.97,
"eval_accuracy": 1.0,
"eval_loss": 0.00011626419291133061,
"eval_runtime": 129.4487,
"eval_samples_per_second": 23.175,
"eval_steps_per_second": 1.452,
"step": 700
},
{
"epoch": 4.97,
"step": 700,
"total_flos": 1.2267729254916882e+19,
"train_loss": 0.10130466574936041,
"train_runtime": 12554.5867,
"train_samples_per_second": 3.584,
"train_steps_per_second": 0.056
}
],
"max_steps": 700,
"num_train_epochs": 5,
"total_flos": 1.2267729254916882e+19,
"trial_name": null,
"trial_params": null
}