|
{ |
|
"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": 0.6780645161290323, |
|
"eval_loss": 0.40519121289253235, |
|
"eval_runtime": 1.9988, |
|
"eval_samples_per_second": 1550.899, |
|
"eval_steps_per_second": 32.519, |
|
"step": 318 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"grad_norm": 0.8578532934188843, |
|
"learning_rate": 1.650593990216632e-05, |
|
"loss": 0.6413, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8396774193548387, |
|
"eval_loss": 0.14012566208839417, |
|
"eval_runtime": 2.0694, |
|
"eval_samples_per_second": 1498.034, |
|
"eval_steps_per_second": 31.41, |
|
"step": 636 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8964516129032258, |
|
"eval_loss": 0.07267240434885025, |
|
"eval_runtime": 2.0542, |
|
"eval_samples_per_second": 1509.101, |
|
"eval_steps_per_second": 31.642, |
|
"step": 954 |
|
}, |
|
{ |
|
"epoch": 3.14, |
|
"grad_norm": 0.5715540051460266, |
|
"learning_rate": 1.3011879804332637e-05, |
|
"loss": 0.1635, |
|
"step": 1000 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2862, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9, |
|
"save_steps": 500, |
|
"total_flos": 260941334653608.0, |
|
"train_batch_size": 48, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.8018818773384359, |
|
"num_train_epochs": 9, |
|
"temperature": 2 |
|
} |
|
} |
|
|