|
{ |
|
"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": 0.6954838709677419, |
|
"eval_loss": 0.4076870381832123, |
|
"eval_runtime": 5.73, |
|
"eval_samples_per_second": 541.016, |
|
"eval_steps_per_second": 11.344, |
|
"step": 318 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"learning_rate": 1.650593990216632e-05, |
|
"loss": 0.6428, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8416129032258064, |
|
"eval_loss": 0.13920199871063232, |
|
"eval_runtime": 5.8961, |
|
"eval_samples_per_second": 525.773, |
|
"eval_steps_per_second": 11.024, |
|
"step": 636 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8987096774193548, |
|
"eval_loss": 0.07036732137203217, |
|
"eval_runtime": 5.922, |
|
"eval_samples_per_second": 523.468, |
|
"eval_steps_per_second": 10.976, |
|
"step": 954 |
|
}, |
|
{ |
|
"epoch": 3.14, |
|
"learning_rate": 1.3011879804332637e-05, |
|
"loss": 0.163, |
|
"step": 1000 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2862, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9, |
|
"save_steps": 500, |
|
"total_flos": 507156838101732.0, |
|
"train_batch_size": 48, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.9464628409873767, |
|
"num_train_epochs": 9, |
|
"temperature": 2 |
|
} |
|
} |
|
|