vit-base-beans / trainer_state.json
yaxue's picture
End of training
bfacbb2
{
"best_metric": 0.083957239985466,
"best_model_checkpoint": "./beans_outputs/checkpoint-520",
"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": 1.0383,
"step": 10
},
{
"epoch": 0.15,
"learning_rate": 1.9384615384615386e-05,
"loss": 0.9151,
"step": 20
},
{
"epoch": 0.23,
"learning_rate": 1.907692307692308e-05,
"loss": 0.868,
"step": 30
},
{
"epoch": 0.31,
"learning_rate": 1.876923076923077e-05,
"loss": 0.7378,
"step": 40
},
{
"epoch": 0.38,
"learning_rate": 1.8461538461538465e-05,
"loss": 0.6322,
"step": 50
},
{
"epoch": 0.46,
"learning_rate": 1.8153846153846155e-05,
"loss": 0.6229,
"step": 60
},
{
"epoch": 0.54,
"learning_rate": 1.784615384615385e-05,
"loss": 0.5228,
"step": 70
},
{
"epoch": 0.62,
"learning_rate": 1.753846153846154e-05,
"loss": 0.5059,
"step": 80
},
{
"epoch": 0.69,
"learning_rate": 1.7230769230769234e-05,
"loss": 0.4123,
"step": 90
},
{
"epoch": 0.77,
"learning_rate": 1.6923076923076924e-05,
"loss": 0.3731,
"step": 100
},
{
"epoch": 0.85,
"learning_rate": 1.6615384615384618e-05,
"loss": 0.3125,
"step": 110
},
{
"epoch": 0.92,
"learning_rate": 1.630769230769231e-05,
"loss": 0.3045,
"step": 120
},
{
"epoch": 1.0,
"learning_rate": 1.6000000000000003e-05,
"loss": 0.2538,
"step": 130
},
{
"epoch": 1.0,
"eval_accuracy": 0.9624060150375939,
"eval_loss": 0.22525423765182495,
"eval_runtime": 48.6507,
"eval_samples_per_second": 2.734,
"eval_steps_per_second": 0.349,
"step": 130
},
{
"epoch": 1.08,
"learning_rate": 1.5692307692307693e-05,
"loss": 0.2641,
"step": 140
},
{
"epoch": 1.15,
"learning_rate": 1.5384615384615387e-05,
"loss": 0.2749,
"step": 150
},
{
"epoch": 1.23,
"learning_rate": 1.5076923076923078e-05,
"loss": 0.2022,
"step": 160
},
{
"epoch": 1.31,
"learning_rate": 1.4769230769230772e-05,
"loss": 0.2703,
"step": 170
},
{
"epoch": 1.38,
"learning_rate": 1.4461538461538462e-05,
"loss": 0.2298,
"step": 180
},
{
"epoch": 1.46,
"learning_rate": 1.4153846153846156e-05,
"loss": 0.1859,
"step": 190
},
{
"epoch": 1.54,
"learning_rate": 1.3846153846153847e-05,
"loss": 0.1677,
"step": 200
},
{
"epoch": 1.62,
"learning_rate": 1.353846153846154e-05,
"loss": 0.1753,
"step": 210
},
{
"epoch": 1.69,
"learning_rate": 1.3230769230769231e-05,
"loss": 0.1294,
"step": 220
},
{
"epoch": 1.77,
"learning_rate": 1.2923076923076925e-05,
"loss": 0.2059,
"step": 230
},
{
"epoch": 1.85,
"learning_rate": 1.2615384615384616e-05,
"loss": 0.1821,
"step": 240
},
{
"epoch": 1.92,
"learning_rate": 1.230769230769231e-05,
"loss": 0.253,
"step": 250
},
{
"epoch": 2.0,
"learning_rate": 1.2e-05,
"loss": 0.2861,
"step": 260
},
{
"epoch": 2.0,
"eval_accuracy": 0.9924812030075187,
"eval_loss": 0.10856203734874725,
"eval_runtime": 48.9808,
"eval_samples_per_second": 2.715,
"eval_steps_per_second": 0.347,
"step": 260
},
{
"epoch": 2.08,
"learning_rate": 1.1692307692307694e-05,
"loss": 0.1153,
"step": 270
},
{
"epoch": 2.15,
"learning_rate": 1.1384615384615385e-05,
"loss": 0.2358,
"step": 280
},
{
"epoch": 2.23,
"learning_rate": 1.1076923076923079e-05,
"loss": 0.158,
"step": 290
},
{
"epoch": 2.31,
"learning_rate": 1.076923076923077e-05,
"loss": 0.1536,
"step": 300
},
{
"epoch": 2.38,
"learning_rate": 1.0461538461538463e-05,
"loss": 0.1233,
"step": 310
},
{
"epoch": 2.46,
"learning_rate": 1.0153846153846154e-05,
"loss": 0.1578,
"step": 320
},
{
"epoch": 2.54,
"learning_rate": 9.846153846153848e-06,
"loss": 0.1404,
"step": 330
},
{
"epoch": 2.62,
"learning_rate": 9.53846153846154e-06,
"loss": 0.0759,
"step": 340
},
{
"epoch": 2.69,
"learning_rate": 9.230769230769232e-06,
"loss": 0.1491,
"step": 350
},
{
"epoch": 2.77,
"learning_rate": 8.923076923076925e-06,
"loss": 0.0795,
"step": 360
},
{
"epoch": 2.85,
"learning_rate": 8.615384615384617e-06,
"loss": 0.0849,
"step": 370
},
{
"epoch": 2.92,
"learning_rate": 8.307692307692309e-06,
"loss": 0.0932,
"step": 380
},
{
"epoch": 3.0,
"learning_rate": 8.000000000000001e-06,
"loss": 0.1625,
"step": 390
},
{
"epoch": 3.0,
"eval_accuracy": 0.9924812030075187,
"eval_loss": 0.09895395487546921,
"eval_runtime": 47.5471,
"eval_samples_per_second": 2.797,
"eval_steps_per_second": 0.358,
"step": 390
},
{
"epoch": 3.08,
"learning_rate": 7.692307692307694e-06,
"loss": 0.0743,
"step": 400
},
{
"epoch": 3.15,
"learning_rate": 7.384615384615386e-06,
"loss": 0.1904,
"step": 410
},
{
"epoch": 3.23,
"learning_rate": 7.076923076923078e-06,
"loss": 0.1038,
"step": 420
},
{
"epoch": 3.31,
"learning_rate": 6.76923076923077e-06,
"loss": 0.1133,
"step": 430
},
{
"epoch": 3.38,
"learning_rate": 6.461538461538463e-06,
"loss": 0.1817,
"step": 440
},
{
"epoch": 3.46,
"learning_rate": 6.153846153846155e-06,
"loss": 0.1402,
"step": 450
},
{
"epoch": 3.54,
"learning_rate": 5.846153846153847e-06,
"loss": 0.1442,
"step": 460
},
{
"epoch": 3.62,
"learning_rate": 5.538461538461539e-06,
"loss": 0.118,
"step": 470
},
{
"epoch": 3.69,
"learning_rate": 5.230769230769232e-06,
"loss": 0.062,
"step": 480
},
{
"epoch": 3.77,
"learning_rate": 4.923076923076924e-06,
"loss": 0.1405,
"step": 490
},
{
"epoch": 3.85,
"learning_rate": 4.615384615384616e-06,
"loss": 0.1673,
"step": 500
},
{
"epoch": 3.92,
"learning_rate": 4.307692307692308e-06,
"loss": 0.154,
"step": 510
},
{
"epoch": 4.0,
"learning_rate": 4.000000000000001e-06,
"loss": 0.0932,
"step": 520
},
{
"epoch": 4.0,
"eval_accuracy": 0.9849624060150376,
"eval_loss": 0.083957239985466,
"eval_runtime": 47.9222,
"eval_samples_per_second": 2.775,
"eval_steps_per_second": 0.355,
"step": 520
},
{
"epoch": 4.08,
"learning_rate": 3.692307692307693e-06,
"loss": 0.057,
"step": 530
},
{
"epoch": 4.15,
"learning_rate": 3.384615384615385e-06,
"loss": 0.0973,
"step": 540
},
{
"epoch": 4.23,
"learning_rate": 3.0769230769230774e-06,
"loss": 0.136,
"step": 550
},
{
"epoch": 4.31,
"learning_rate": 2.7692307692307697e-06,
"loss": 0.0741,
"step": 560
},
{
"epoch": 4.38,
"learning_rate": 2.461538461538462e-06,
"loss": 0.1656,
"step": 570
},
{
"epoch": 4.46,
"learning_rate": 2.153846153846154e-06,
"loss": 0.1112,
"step": 580
},
{
"epoch": 4.54,
"learning_rate": 1.8461538461538465e-06,
"loss": 0.0484,
"step": 590
},
{
"epoch": 4.62,
"learning_rate": 1.5384615384615387e-06,
"loss": 0.1222,
"step": 600
},
{
"epoch": 4.69,
"learning_rate": 1.230769230769231e-06,
"loss": 0.1423,
"step": 610
},
{
"epoch": 4.77,
"learning_rate": 9.230769230769232e-07,
"loss": 0.093,
"step": 620
},
{
"epoch": 4.85,
"learning_rate": 6.153846153846155e-07,
"loss": 0.2232,
"step": 630
},
{
"epoch": 4.92,
"learning_rate": 3.0769230769230774e-07,
"loss": 0.0968,
"step": 640
},
{
"epoch": 5.0,
"learning_rate": 0.0,
"loss": 0.1535,
"step": 650
},
{
"epoch": 5.0,
"eval_accuracy": 0.9849624060150376,
"eval_loss": 0.0848444476723671,
"eval_runtime": 48.3798,
"eval_samples_per_second": 2.749,
"eval_steps_per_second": 0.351,
"step": 650
},
{
"epoch": 5.0,
"step": 650,
"total_flos": 4.006371770595533e+17,
"train_loss": 0.07588751036387223,
"train_runtime": 3730.683,
"train_samples_per_second": 1.386,
"train_steps_per_second": 0.174
}
],
"max_steps": 650,
"num_train_epochs": 5,
"total_flos": 4.006371770595533e+17,
"trial_name": null,
"trial_params": null
}