|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 4.991735537190083, |
|
"global_step": 300, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.66, |
|
"learning_rate": 6.666666666666667e-05, |
|
"loss": 1.3311, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 1.66, |
|
"eval_accuracy": 0.6033057570457458, |
|
"eval_loss": 1.0739655494689941, |
|
"eval_runtime": 74.6016, |
|
"eval_samples_per_second": 1.622, |
|
"eval_steps_per_second": 0.416, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 3.33, |
|
"learning_rate": 3.3333333333333335e-05, |
|
"loss": 0.6235, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 3.33, |
|
"eval_accuracy": 0.8512396812438965, |
|
"eval_loss": 0.47899967432022095, |
|
"eval_runtime": 71.6672, |
|
"eval_samples_per_second": 1.688, |
|
"eval_steps_per_second": 0.433, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 4.99, |
|
"learning_rate": 0.0, |
|
"loss": 0.2154, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 4.99, |
|
"eval_accuracy": 0.9008264541625977, |
|
"eval_loss": 0.3769935369491577, |
|
"eval_runtime": 73.3118, |
|
"eval_samples_per_second": 1.65, |
|
"eval_steps_per_second": 0.423, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 4.99, |
|
"step": 300, |
|
"total_flos": 4.279570856908188e+17, |
|
"train_loss": 0.7233316548665365, |
|
"train_runtime": 4793.1545, |
|
"train_samples_per_second": 0.504, |
|
"train_steps_per_second": 0.063 |
|
} |
|
], |
|
"max_steps": 300, |
|
"num_train_epochs": 5, |
|
"total_flos": 4.279570856908188e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|