|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 5.0, |
|
"global_step": 200, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 1.6000000000000003e-05, |
|
"loss": 0.7299, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.5633802816901409, |
|
"eval_loss": 0.6923056840896606, |
|
"eval_runtime": 0.73, |
|
"eval_samples_per_second": 97.265, |
|
"eval_steps_per_second": 12.329, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 1.2e-05, |
|
"loss": 0.6982, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.38028169014084506, |
|
"eval_loss": 0.7026631832122803, |
|
"eval_runtime": 0.7338, |
|
"eval_samples_per_second": 96.754, |
|
"eval_steps_per_second": 12.265, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 8.000000000000001e-06, |
|
"loss": 0.6972, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.4507042253521127, |
|
"eval_loss": 0.7005189657211304, |
|
"eval_runtime": 0.7321, |
|
"eval_samples_per_second": 96.982, |
|
"eval_steps_per_second": 12.293, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 4.000000000000001e-06, |
|
"loss": 0.6992, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.5352112676056338, |
|
"eval_loss": 0.6976626515388489, |
|
"eval_runtime": 0.7339, |
|
"eval_samples_per_second": 96.738, |
|
"eval_steps_per_second": 12.263, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 0.0, |
|
"loss": 0.699, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.4647887323943662, |
|
"eval_loss": 0.6995509266853333, |
|
"eval_runtime": 0.7321, |
|
"eval_samples_per_second": 96.976, |
|
"eval_steps_per_second": 12.293, |
|
"step": 200 |
|
} |
|
], |
|
"max_steps": 200, |
|
"num_train_epochs": 5, |
|
"total_flos": 835377600768000.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|