vit-base-beans / trainer_state.json
amyeroberts's picture
amyeroberts HF staff
End of training
3440cc3
raw history blame
No virus
9.63 kB
{
"best_metric": 0.0629788488149643,
"best_model_checkpoint": "./beans_outputs/checkpoint-650",
"epoch": 5.0,
"global_step": 650,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.08,
"learning_rate": 1.9692307692307696e-05,
"loss": 1.0376,
"step": 10
},
{
"epoch": 0.15,
"learning_rate": 1.9384615384615386e-05,
"loss": 0.9321,
"step": 20
},
{
"epoch": 0.23,
"learning_rate": 1.907692307692308e-05,
"loss": 0.8443,
"step": 30
},
{
"epoch": 0.31,
"learning_rate": 1.876923076923077e-05,
"loss": 0.6961,
"step": 40
},
{
"epoch": 0.38,
"learning_rate": 1.8461538461538465e-05,
"loss": 0.6817,
"step": 50
},
{
"epoch": 0.46,
"learning_rate": 1.8153846153846155e-05,
"loss": 0.6014,
"step": 60
},
{
"epoch": 0.54,
"learning_rate": 1.784615384615385e-05,
"loss": 0.5399,
"step": 70
},
{
"epoch": 0.62,
"learning_rate": 1.753846153846154e-05,
"loss": 0.4494,
"step": 80
},
{
"epoch": 0.69,
"learning_rate": 1.7230769230769234e-05,
"loss": 0.4639,
"step": 90
},
{
"epoch": 0.77,
"learning_rate": 1.6923076923076924e-05,
"loss": 0.3812,
"step": 100
},
{
"epoch": 0.85,
"learning_rate": 1.6615384615384618e-05,
"loss": 0.2879,
"step": 110
},
{
"epoch": 0.92,
"learning_rate": 1.630769230769231e-05,
"loss": 0.2905,
"step": 120
},
{
"epoch": 1.0,
"learning_rate": 1.6000000000000003e-05,
"loss": 0.3038,
"step": 130
},
{
"epoch": 1.0,
"eval_accuracy": 0.9624060150375939,
"eval_loss": 0.23956194519996643,
"eval_runtime": 9.1028,
"eval_samples_per_second": 14.611,
"eval_steps_per_second": 1.868,
"step": 130
},
{
"epoch": 1.08,
"learning_rate": 1.5692307692307693e-05,
"loss": 0.1833,
"step": 140
},
{
"epoch": 1.15,
"learning_rate": 1.5384615384615387e-05,
"loss": 0.2351,
"step": 150
},
{
"epoch": 1.23,
"learning_rate": 1.5076923076923078e-05,
"loss": 0.2677,
"step": 160
},
{
"epoch": 1.31,
"learning_rate": 1.4769230769230772e-05,
"loss": 0.1575,
"step": 170
},
{
"epoch": 1.38,
"learning_rate": 1.4461538461538462e-05,
"loss": 0.2751,
"step": 180
},
{
"epoch": 1.46,
"learning_rate": 1.4153846153846156e-05,
"loss": 0.189,
"step": 190
},
{
"epoch": 1.54,
"learning_rate": 1.3846153846153847e-05,
"loss": 0.1909,
"step": 200
},
{
"epoch": 1.62,
"learning_rate": 1.353846153846154e-05,
"loss": 0.2285,
"step": 210
},
{
"epoch": 1.69,
"learning_rate": 1.3230769230769231e-05,
"loss": 0.2254,
"step": 220
},
{
"epoch": 1.77,
"learning_rate": 1.2923076923076925e-05,
"loss": 0.1991,
"step": 230
},
{
"epoch": 1.85,
"learning_rate": 1.2615384615384616e-05,
"loss": 0.1753,
"step": 240
},
{
"epoch": 1.92,
"learning_rate": 1.230769230769231e-05,
"loss": 0.0943,
"step": 250
},
{
"epoch": 2.0,
"learning_rate": 1.2e-05,
"loss": 0.1609,
"step": 260
},
{
"epoch": 2.0,
"eval_accuracy": 0.9774436090225563,
"eval_loss": 0.11299962550401688,
"eval_runtime": 8.6644,
"eval_samples_per_second": 15.35,
"eval_steps_per_second": 1.962,
"step": 260
},
{
"epoch": 2.08,
"learning_rate": 1.1692307692307694e-05,
"loss": 0.1253,
"step": 270
},
{
"epoch": 2.15,
"learning_rate": 1.1384615384615385e-05,
"loss": 0.1537,
"step": 280
},
{
"epoch": 2.23,
"learning_rate": 1.1076923076923079e-05,
"loss": 0.0875,
"step": 290
},
{
"epoch": 2.31,
"learning_rate": 1.076923076923077e-05,
"loss": 0.1023,
"step": 300
},
{
"epoch": 2.38,
"learning_rate": 1.0461538461538463e-05,
"loss": 0.1109,
"step": 310
},
{
"epoch": 2.46,
"learning_rate": 1.0153846153846154e-05,
"loss": 0.2311,
"step": 320
},
{
"epoch": 2.54,
"learning_rate": 9.846153846153848e-06,
"loss": 0.1223,
"step": 330
},
{
"epoch": 2.62,
"learning_rate": 9.53846153846154e-06,
"loss": 0.243,
"step": 340
},
{
"epoch": 2.69,
"learning_rate": 9.230769230769232e-06,
"loss": 0.244,
"step": 350
},
{
"epoch": 2.77,
"learning_rate": 8.923076923076925e-06,
"loss": 0.1226,
"step": 360
},
{
"epoch": 2.85,
"learning_rate": 8.615384615384617e-06,
"loss": 0.1115,
"step": 370
},
{
"epoch": 2.92,
"learning_rate": 8.307692307692309e-06,
"loss": 0.0942,
"step": 380
},
{
"epoch": 3.0,
"learning_rate": 8.000000000000001e-06,
"loss": 0.2313,
"step": 390
},
{
"epoch": 3.0,
"eval_accuracy": 0.9849624060150376,
"eval_loss": 0.08092895895242691,
"eval_runtime": 9.1773,
"eval_samples_per_second": 14.492,
"eval_steps_per_second": 1.852,
"step": 390
},
{
"epoch": 3.08,
"learning_rate": 7.692307692307694e-06,
"loss": 0.1309,
"step": 400
},
{
"epoch": 3.15,
"learning_rate": 7.384615384615386e-06,
"loss": 0.1914,
"step": 410
},
{
"epoch": 3.23,
"learning_rate": 7.076923076923078e-06,
"loss": 0.181,
"step": 420
},
{
"epoch": 3.31,
"learning_rate": 6.76923076923077e-06,
"loss": 0.1004,
"step": 430
},
{
"epoch": 3.38,
"learning_rate": 6.461538461538463e-06,
"loss": 0.1426,
"step": 440
},
{
"epoch": 3.46,
"learning_rate": 6.153846153846155e-06,
"loss": 0.1059,
"step": 450
},
{
"epoch": 3.54,
"learning_rate": 5.846153846153847e-06,
"loss": 0.1353,
"step": 460
},
{
"epoch": 3.62,
"learning_rate": 5.538461538461539e-06,
"loss": 0.1861,
"step": 470
},
{
"epoch": 3.69,
"learning_rate": 5.230769230769232e-06,
"loss": 0.1331,
"step": 480
},
{
"epoch": 3.77,
"learning_rate": 4.923076923076924e-06,
"loss": 0.0799,
"step": 490
},
{
"epoch": 3.85,
"learning_rate": 4.615384615384616e-06,
"loss": 0.1271,
"step": 500
},
{
"epoch": 3.92,
"learning_rate": 4.307692307692308e-06,
"loss": 0.1483,
"step": 510
},
{
"epoch": 4.0,
"learning_rate": 4.000000000000001e-06,
"loss": 0.1436,
"step": 520
},
{
"epoch": 4.0,
"eval_accuracy": 0.9849624060150376,
"eval_loss": 0.07378804683685303,
"eval_runtime": 9.6033,
"eval_samples_per_second": 13.849,
"eval_steps_per_second": 1.77,
"step": 520
},
{
"epoch": 4.08,
"learning_rate": 3.692307692307693e-06,
"loss": 0.0915,
"step": 530
},
{
"epoch": 4.15,
"learning_rate": 3.384615384615385e-06,
"loss": 0.0917,
"step": 540
},
{
"epoch": 4.23,
"learning_rate": 3.0769230769230774e-06,
"loss": 0.0608,
"step": 550
},
{
"epoch": 4.31,
"learning_rate": 2.7692307692307697e-06,
"loss": 0.0646,
"step": 560
},
{
"epoch": 4.38,
"learning_rate": 2.461538461538462e-06,
"loss": 0.1057,
"step": 570
},
{
"epoch": 4.46,
"learning_rate": 2.153846153846154e-06,
"loss": 0.0616,
"step": 580
},
{
"epoch": 4.54,
"learning_rate": 1.8461538461538465e-06,
"loss": 0.0472,
"step": 590
},
{
"epoch": 4.62,
"learning_rate": 1.5384615384615387e-06,
"loss": 0.2017,
"step": 600
},
{
"epoch": 4.69,
"learning_rate": 1.230769230769231e-06,
"loss": 0.1336,
"step": 610
},
{
"epoch": 4.77,
"learning_rate": 9.230769230769232e-07,
"loss": 0.1378,
"step": 620
},
{
"epoch": 4.85,
"learning_rate": 6.153846153846155e-07,
"loss": 0.1161,
"step": 630
},
{
"epoch": 4.92,
"learning_rate": 3.0769230769230774e-07,
"loss": 0.1167,
"step": 640
},
{
"epoch": 5.0,
"learning_rate": 0.0,
"loss": 0.1086,
"step": 650
},
{
"epoch": 5.0,
"eval_accuracy": 0.9849624060150376,
"eval_loss": 0.0629788488149643,
"eval_runtime": 9.6544,
"eval_samples_per_second": 13.776,
"eval_steps_per_second": 1.761,
"step": 650
},
{
"epoch": 5.0,
"step": 650,
"total_flos": 4.006371770595533e+17,
"train_loss": 0.23407576583898984,
"train_runtime": 956.3524,
"train_samples_per_second": 5.406,
"train_steps_per_second": 0.68
}
],
"max_steps": 650,
"num_train_epochs": 5,
"total_flos": 4.006371770595533e+17,
"trial_name": null,
"trial_params": null
}