|
{ |
|
"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": 0.6277419354838709, |
|
"eval_loss": 0.24846285581588745, |
|
"eval_runtime": 5.3051, |
|
"eval_samples_per_second": 584.343, |
|
"eval_steps_per_second": 12.252, |
|
"step": 318 |
|
}, |
|
{ |
|
"epoch": 1.5723270440251573, |
|
"grad_norm": 0.6000988483428955, |
|
"learning_rate": 1.650593990216632e-05, |
|
"loss": 0.3981, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8409677419354838, |
|
"eval_loss": 0.10887154191732407, |
|
"eval_runtime": 5.5562, |
|
"eval_samples_per_second": 557.931, |
|
"eval_steps_per_second": 11.699, |
|
"step": 636 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8890322580645161, |
|
"eval_loss": 0.06698033213615417, |
|
"eval_runtime": 5.3775, |
|
"eval_samples_per_second": 576.472, |
|
"eval_steps_per_second": 12.087, |
|
"step": 954 |
|
}, |
|
{ |
|
"epoch": 3.1446540880503147, |
|
"grad_norm": 0.5247102975845337, |
|
"learning_rate": 1.3011879804332637e-05, |
|
"loss": 0.1276, |
|
"step": 1000 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2862, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9, |
|
"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": 0.9421205475638533, |
|
"num_train_epochs": 9, |
|
"temperature": 4 |
|
} |
|
} |
|
|