|
{ |
|
"best_metric": 1.0, |
|
"best_model_checkpoint": "beit-base-patch16-224-pt22k-ft22k-finetunedt/checkpoint-25", |
|
"epoch": 10.0, |
|
"global_step": 250, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.4, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7791, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"learning_rate": 4e-05, |
|
"loss": 0.4714, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 1.0, |
|
"eval_loss": 0.01467892061918974, |
|
"eval_runtime": 6.0168, |
|
"eval_samples_per_second": 59.167, |
|
"eval_steps_per_second": 1.994, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"learning_rate": 4.888888888888889e-05, |
|
"loss": 0.044, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 1.6, |
|
"learning_rate": 4.666666666666667e-05, |
|
"loss": 0.0126, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 4.4444444444444447e-05, |
|
"loss": 0.0089, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 1.0, |
|
"eval_loss": 0.0007656927919015288, |
|
"eval_runtime": 5.0843, |
|
"eval_samples_per_second": 70.02, |
|
"eval_steps_per_second": 2.36, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"learning_rate": 4.222222222222222e-05, |
|
"loss": 0.0071, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 2.8, |
|
"learning_rate": 4e-05, |
|
"loss": 0.0101, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 1.0, |
|
"eval_loss": 0.00026955531211569905, |
|
"eval_runtime": 4.9485, |
|
"eval_samples_per_second": 71.941, |
|
"eval_steps_per_second": 2.425, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 3.2, |
|
"learning_rate": 3.777777777777778e-05, |
|
"loss": 0.005, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 3.6, |
|
"learning_rate": 3.555555555555556e-05, |
|
"loss": 0.0057, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 3.3333333333333335e-05, |
|
"loss": 0.0021, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 1.0, |
|
"eval_loss": 0.00016395412967540324, |
|
"eval_runtime": 4.9361, |
|
"eval_samples_per_second": 72.121, |
|
"eval_steps_per_second": 2.431, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 4.4, |
|
"learning_rate": 3.111111111111111e-05, |
|
"loss": 0.002, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 4.8, |
|
"learning_rate": 2.8888888888888888e-05, |
|
"loss": 0.0028, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 1.0, |
|
"eval_loss": 0.00011135207751067355, |
|
"eval_runtime": 5.1657, |
|
"eval_samples_per_second": 68.917, |
|
"eval_steps_per_second": 2.323, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 5.2, |
|
"learning_rate": 2.6666666666666667e-05, |
|
"loss": 0.0012, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 5.6, |
|
"learning_rate": 2.4444444444444445e-05, |
|
"loss": 0.0013, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"learning_rate": 2.2222222222222223e-05, |
|
"loss": 0.0016, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 1.0, |
|
"eval_loss": 0.00014620741421822459, |
|
"eval_runtime": 4.9247, |
|
"eval_samples_per_second": 72.289, |
|
"eval_steps_per_second": 2.437, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 6.4, |
|
"learning_rate": 2e-05, |
|
"loss": 0.0007, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 6.8, |
|
"learning_rate": 1.777777777777778e-05, |
|
"loss": 0.0044, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 1.0, |
|
"eval_loss": 9.979216702049598e-05, |
|
"eval_runtime": 4.9812, |
|
"eval_samples_per_second": 71.469, |
|
"eval_steps_per_second": 2.409, |
|
"step": 175 |
|
}, |
|
{ |
|
"epoch": 7.2, |
|
"learning_rate": 1.5555555555555555e-05, |
|
"loss": 0.0003, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 7.6, |
|
"learning_rate": 1.3333333333333333e-05, |
|
"loss": 0.0023, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"learning_rate": 1.1111111111111112e-05, |
|
"loss": 0.0007, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 1.0, |
|
"eval_loss": 8.071383490459993e-05, |
|
"eval_runtime": 5.0468, |
|
"eval_samples_per_second": 70.539, |
|
"eval_steps_per_second": 2.378, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 8.4, |
|
"learning_rate": 8.88888888888889e-06, |
|
"loss": 0.0003, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 8.8, |
|
"learning_rate": 6.666666666666667e-06, |
|
"loss": 0.0013, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 1.0, |
|
"eval_loss": 8.012407488422468e-05, |
|
"eval_runtime": 5.1177, |
|
"eval_samples_per_second": 69.563, |
|
"eval_steps_per_second": 2.345, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 9.2, |
|
"learning_rate": 4.444444444444445e-06, |
|
"loss": 0.0021, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 9.6, |
|
"learning_rate": 2.2222222222222225e-06, |
|
"loss": 0.0019, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"learning_rate": 0.0, |
|
"loss": 0.0004, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 1.0, |
|
"eval_loss": 7.809004455339164e-05, |
|
"eval_runtime": 4.9442, |
|
"eval_samples_per_second": 72.004, |
|
"eval_steps_per_second": 2.427, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"step": 250, |
|
"total_flos": 2.4764710519574323e+18, |
|
"train_loss": 0.09477622657828033, |
|
"train_runtime": 1542.5779, |
|
"train_samples_per_second": 20.725, |
|
"train_steps_per_second": 0.162 |
|
} |
|
], |
|
"max_steps": 250, |
|
"num_train_epochs": 10, |
|
"total_flos": 2.4764710519574323e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|