|
{ |
|
"best_metric": 0.725, |
|
"best_model_checkpoint": "beit-base-patch16-224-pt22k-ft22k/checkpoint-16", |
|
"epoch": 3.0, |
|
"eval_steps": 500, |
|
"global_step": 24, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.275, |
|
"eval_loss": 2.470369815826416, |
|
"eval_runtime": 66.8165, |
|
"eval_samples_per_second": 3.592, |
|
"eval_steps_per_second": 0.12, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"learning_rate": 0.03333333333333333, |
|
"loss": 8.3532, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.725, |
|
"eval_loss": 0.685380756855011, |
|
"eval_runtime": 3.4245, |
|
"eval_samples_per_second": 70.083, |
|
"eval_steps_per_second": 2.336, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 2.5, |
|
"learning_rate": 0.009523809523809525, |
|
"loss": 0.9363, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.725, |
|
"eval_loss": 0.6314295530319214, |
|
"eval_runtime": 3.2582, |
|
"eval_samples_per_second": 73.66, |
|
"eval_steps_per_second": 2.455, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"step": 24, |
|
"total_flos": 2.77880533604352e+17, |
|
"train_loss": 3.9848953088124595, |
|
"train_runtime": 321.3932, |
|
"train_samples_per_second": 9.334, |
|
"train_steps_per_second": 0.075 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 24, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"total_flos": 2.77880533604352e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|