|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 3.1446540880503147, |
|
"eval_steps": 500, |
|
"global_step": 1000, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7293548387096774, |
|
"eval_loss": 3.176466703414917, |
|
"eval_runtime": 2.377, |
|
"eval_samples_per_second": 1304.166, |
|
"eval_steps_per_second": 27.345, |
|
"step": 318 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"learning_rate": 1.650593990216632e-05, |
|
"loss": 3.7036, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8590322580645161, |
|
"eval_loss": 1.5857902765274048, |
|
"eval_runtime": 2.438, |
|
"eval_samples_per_second": 1271.534, |
|
"eval_steps_per_second": 26.661, |
|
"step": 636 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.9109677419354839, |
|
"eval_loss": 0.7998820543289185, |
|
"eval_runtime": 2.447, |
|
"eval_samples_per_second": 1266.857, |
|
"eval_steps_per_second": 26.563, |
|
"step": 954 |
|
}, |
|
{ |
|
"epoch": 3.14, |
|
"learning_rate": 1.3011879804332637e-05, |
|
"loss": 1.3611, |
|
"step": 1000 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2862, |
|
"num_train_epochs": 9, |
|
"save_steps": 500, |
|
"total_flos": 342281797773552.0, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.9790781253363027, |
|
"num_train_epochs": 9, |
|
"temperature": 4 |
|
} |
|
} |
|
|