|
{ |
|
"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": 0.5793548387096774, |
|
"eval_loss": 0.20042110979557037, |
|
"eval_runtime": 5.4295, |
|
"eval_samples_per_second": 570.955, |
|
"eval_steps_per_second": 11.972, |
|
"step": 318 |
|
}, |
|
{ |
|
"epoch": 1.5723270440251573, |
|
"grad_norm": 0.5317145586013794, |
|
"learning_rate": 1.550763701707098e-05, |
|
"loss": 0.3197, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8148387096774193, |
|
"eval_loss": 0.09952177852392197, |
|
"eval_runtime": 5.6253, |
|
"eval_samples_per_second": 551.079, |
|
"eval_steps_per_second": 11.555, |
|
"step": 636 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8722580645161291, |
|
"eval_loss": 0.06819746643304825, |
|
"eval_runtime": 5.4054, |
|
"eval_samples_per_second": 573.499, |
|
"eval_steps_per_second": 12.025, |
|
"step": 954 |
|
}, |
|
{ |
|
"epoch": 3.1446540880503147, |
|
"grad_norm": 0.45249998569488525, |
|
"learning_rate": 1.101527403414196e-05, |
|
"loss": 0.1151, |
|
"step": 1000 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2226, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 7, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 260941334653608.0, |
|
"train_batch_size": 48, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.7983650996847113, |
|
"num_train_epochs": 7, |
|
"temperature": 12 |
|
} |
|
} |
|
|