|
{ |
|
"best_metric": 0.5579988016776513, |
|
"best_model_checkpoint": "bert-finetuned-spam/run-0/checkpoint-39", |
|
"epoch": 2.9433962264150946, |
|
"eval_steps": 500, |
|
"global_step": 39, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.9811320754716981, |
|
"eval_accuracy": 0.5125224685440384, |
|
"eval_loss": 0.6872516870498657, |
|
"eval_runtime": 102.1088, |
|
"eval_samples_per_second": 163.453, |
|
"eval_steps_per_second": 20.439, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 1.9622641509433962, |
|
"eval_accuracy": 0.544877171959257, |
|
"eval_loss": 0.6820595860481262, |
|
"eval_runtime": 102.1643, |
|
"eval_samples_per_second": 163.364, |
|
"eval_steps_per_second": 20.428, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 2.9433962264150946, |
|
"eval_accuracy": 0.5579988016776513, |
|
"eval_loss": 0.6797229647636414, |
|
"eval_runtime": 102.1497, |
|
"eval_samples_per_second": 163.388, |
|
"eval_steps_per_second": 20.431, |
|
"step": 39 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 39, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"total_flos": 0, |
|
"train_batch_size": 64, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 5.491420045821173e-06, |
|
"num_train_epochs": 3, |
|
"per_device_train_batch_size": 64, |
|
"seed": 30 |
|
} |
|
} |
|
|