vit-base-beans / trainer_state.json
amunchet's picture
End of training
379ef5e
{
"best_metric": 0.08573298156261444,
"best_model_checkpoint": "./beans_outputs/checkpoint-650",
"epoch": 5.0,
"eval_steps": 500,
"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": 1.0127,
"step": 10
},
{
"epoch": 0.15,
"learning_rate": 1.9384615384615386e-05,
"loss": 0.9814,
"step": 20
},
{
"epoch": 0.23,
"learning_rate": 1.907692307692308e-05,
"loss": 0.8535,
"step": 30
},
{
"epoch": 0.31,
"learning_rate": 1.876923076923077e-05,
"loss": 0.7647,
"step": 40
},
{
"epoch": 0.38,
"learning_rate": 1.8461538461538465e-05,
"loss": 0.6851,
"step": 50
},
{
"epoch": 0.46,
"learning_rate": 1.8153846153846155e-05,
"loss": 0.6329,
"step": 60
},
{
"epoch": 0.54,
"learning_rate": 1.784615384615385e-05,
"loss": 0.5597,
"step": 70
},
{
"epoch": 0.62,
"learning_rate": 1.753846153846154e-05,
"loss": 0.4329,
"step": 80
},
{
"epoch": 0.69,
"learning_rate": 1.7230769230769234e-05,
"loss": 0.3792,
"step": 90
},
{
"epoch": 0.77,
"learning_rate": 1.6923076923076924e-05,
"loss": 0.3258,
"step": 100
},
{
"epoch": 0.85,
"learning_rate": 1.6615384615384618e-05,
"loss": 0.3385,
"step": 110
},
{
"epoch": 0.92,
"learning_rate": 1.630769230769231e-05,
"loss": 0.2618,
"step": 120
},
{
"epoch": 1.0,
"learning_rate": 1.6000000000000003e-05,
"loss": 0.3152,
"step": 130
},
{
"epoch": 1.0,
"eval_accuracy": 0.9774436090225563,
"eval_loss": 0.20740537345409393,
"eval_runtime": 1.3462,
"eval_samples_per_second": 98.797,
"eval_steps_per_second": 12.628,
"step": 130
},
{
"epoch": 1.08,
"learning_rate": 1.5692307692307693e-05,
"loss": 0.2846,
"step": 140
},
{
"epoch": 1.15,
"learning_rate": 1.5384615384615387e-05,
"loss": 0.2402,
"step": 150
},
{
"epoch": 1.23,
"learning_rate": 1.5076923076923078e-05,
"loss": 0.2266,
"step": 160
},
{
"epoch": 1.31,
"learning_rate": 1.4769230769230772e-05,
"loss": 0.1481,
"step": 170
},
{
"epoch": 1.38,
"learning_rate": 1.4461538461538462e-05,
"loss": 0.1907,
"step": 180
},
{
"epoch": 1.46,
"learning_rate": 1.4153846153846156e-05,
"loss": 0.199,
"step": 190
},
{
"epoch": 1.54,
"learning_rate": 1.3846153846153847e-05,
"loss": 0.1521,
"step": 200
},
{
"epoch": 1.62,
"learning_rate": 1.353846153846154e-05,
"loss": 0.1448,
"step": 210
},
{
"epoch": 1.69,
"learning_rate": 1.3230769230769231e-05,
"loss": 0.1838,
"step": 220
},
{
"epoch": 1.77,
"learning_rate": 1.2923076923076925e-05,
"loss": 0.1932,
"step": 230
},
{
"epoch": 1.85,
"learning_rate": 1.2615384615384616e-05,
"loss": 0.1823,
"step": 240
},
{
"epoch": 1.92,
"learning_rate": 1.230769230769231e-05,
"loss": 0.2155,
"step": 250
},
{
"epoch": 2.0,
"learning_rate": 1.2e-05,
"loss": 0.2075,
"step": 260
},
{
"epoch": 2.0,
"eval_accuracy": 0.9699248120300752,
"eval_loss": 0.13271355628967285,
"eval_runtime": 1.3537,
"eval_samples_per_second": 98.247,
"eval_steps_per_second": 12.558,
"step": 260
},
{
"epoch": 2.08,
"learning_rate": 1.1692307692307694e-05,
"loss": 0.1515,
"step": 270
},
{
"epoch": 2.15,
"learning_rate": 1.1384615384615385e-05,
"loss": 0.1754,
"step": 280
},
{
"epoch": 2.23,
"learning_rate": 1.1076923076923079e-05,
"loss": 0.235,
"step": 290
},
{
"epoch": 2.31,
"learning_rate": 1.076923076923077e-05,
"loss": 0.1467,
"step": 300
},
{
"epoch": 2.38,
"learning_rate": 1.0461538461538463e-05,
"loss": 0.2069,
"step": 310
},
{
"epoch": 2.46,
"learning_rate": 1.0153846153846154e-05,
"loss": 0.1685,
"step": 320
},
{
"epoch": 2.54,
"learning_rate": 9.846153846153848e-06,
"loss": 0.1228,
"step": 330
},
{
"epoch": 2.62,
"learning_rate": 9.53846153846154e-06,
"loss": 0.169,
"step": 340
},
{
"epoch": 2.69,
"learning_rate": 9.230769230769232e-06,
"loss": 0.1209,
"step": 350
},
{
"epoch": 2.77,
"learning_rate": 8.923076923076925e-06,
"loss": 0.1179,
"step": 360
},
{
"epoch": 2.85,
"learning_rate": 8.615384615384617e-06,
"loss": 0.145,
"step": 370
},
{
"epoch": 2.92,
"learning_rate": 8.307692307692309e-06,
"loss": 0.098,
"step": 380
},
{
"epoch": 3.0,
"learning_rate": 8.000000000000001e-06,
"loss": 0.1856,
"step": 390
},
{
"epoch": 3.0,
"eval_accuracy": 0.9774436090225563,
"eval_loss": 0.11364001780748367,
"eval_runtime": 1.3571,
"eval_samples_per_second": 98.004,
"eval_steps_per_second": 12.527,
"step": 390
},
{
"epoch": 3.08,
"learning_rate": 7.692307692307694e-06,
"loss": 0.1148,
"step": 400
},
{
"epoch": 3.15,
"learning_rate": 7.384615384615386e-06,
"loss": 0.1497,
"step": 410
},
{
"epoch": 3.23,
"learning_rate": 7.076923076923078e-06,
"loss": 0.0981,
"step": 420
},
{
"epoch": 3.31,
"learning_rate": 6.76923076923077e-06,
"loss": 0.1237,
"step": 430
},
{
"epoch": 3.38,
"learning_rate": 6.461538461538463e-06,
"loss": 0.1582,
"step": 440
},
{
"epoch": 3.46,
"learning_rate": 6.153846153846155e-06,
"loss": 0.0982,
"step": 450
},
{
"epoch": 3.54,
"learning_rate": 5.846153846153847e-06,
"loss": 0.1278,
"step": 460
},
{
"epoch": 3.62,
"learning_rate": 5.538461538461539e-06,
"loss": 0.2417,
"step": 470
},
{
"epoch": 3.69,
"learning_rate": 5.230769230769232e-06,
"loss": 0.1011,
"step": 480
},
{
"epoch": 3.77,
"learning_rate": 4.923076923076924e-06,
"loss": 0.1073,
"step": 490
},
{
"epoch": 3.85,
"learning_rate": 4.615384615384616e-06,
"loss": 0.0576,
"step": 500
},
{
"epoch": 3.92,
"learning_rate": 4.307692307692308e-06,
"loss": 0.147,
"step": 510
},
{
"epoch": 4.0,
"learning_rate": 4.000000000000001e-06,
"loss": 0.0837,
"step": 520
},
{
"epoch": 4.0,
"eval_accuracy": 0.9774436090225563,
"eval_loss": 0.10141011327505112,
"eval_runtime": 1.3712,
"eval_samples_per_second": 96.992,
"eval_steps_per_second": 12.397,
"step": 520
},
{
"epoch": 4.08,
"learning_rate": 3.692307692307693e-06,
"loss": 0.116,
"step": 530
},
{
"epoch": 4.15,
"learning_rate": 3.384615384615385e-06,
"loss": 0.0817,
"step": 540
},
{
"epoch": 4.23,
"learning_rate": 3.0769230769230774e-06,
"loss": 0.1356,
"step": 550
},
{
"epoch": 4.31,
"learning_rate": 2.7692307692307697e-06,
"loss": 0.1341,
"step": 560
},
{
"epoch": 4.38,
"learning_rate": 2.461538461538462e-06,
"loss": 0.1291,
"step": 570
},
{
"epoch": 4.46,
"learning_rate": 2.153846153846154e-06,
"loss": 0.0696,
"step": 580
},
{
"epoch": 4.54,
"learning_rate": 1.8461538461538465e-06,
"loss": 0.0832,
"step": 590
},
{
"epoch": 4.62,
"learning_rate": 1.5384615384615387e-06,
"loss": 0.0722,
"step": 600
},
{
"epoch": 4.69,
"learning_rate": 1.230769230769231e-06,
"loss": 0.0908,
"step": 610
},
{
"epoch": 4.77,
"learning_rate": 9.230769230769232e-07,
"loss": 0.0952,
"step": 620
},
{
"epoch": 4.85,
"learning_rate": 6.153846153846155e-07,
"loss": 0.1288,
"step": 630
},
{
"epoch": 4.92,
"learning_rate": 3.0769230769230774e-07,
"loss": 0.1318,
"step": 640
},
{
"epoch": 5.0,
"learning_rate": 0.0,
"loss": 0.1271,
"step": 650
},
{
"epoch": 5.0,
"eval_accuracy": 0.9849624060150376,
"eval_loss": 0.08573298156261444,
"eval_runtime": 1.3585,
"eval_samples_per_second": 97.903,
"eval_steps_per_second": 12.514,
"step": 650
},
{
"epoch": 5.0,
"step": 650,
"total_flos": 4.006371770595533e+17,
"train_loss": 0.23321556008779085,
"train_runtime": 140.5356,
"train_samples_per_second": 36.788,
"train_steps_per_second": 4.625
}
],
"logging_steps": 10,
"max_steps": 650,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 500,
"total_flos": 4.006371770595533e+17,
"trial_name": null,
"trial_params": null
}