|
{ |
|
"best_metric": 0.6514851485148515, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-32/checkpoint-594", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 594, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 2.0489678382873535, |
|
"learning_rate": 0.00030782109688346106, |
|
"loss": 0.6591, |
|
"step": 297 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.5366336633663367, |
|
"eval_f1": 0.20945945945945946, |
|
"eval_loss": 0.6587525606155396, |
|
"eval_mcc": 0.12699706368366073, |
|
"eval_precision": 0.7045454545454546, |
|
"eval_recall": 0.12301587301587301, |
|
"eval_runtime": 0.9347, |
|
"eval_samples_per_second": 540.253, |
|
"eval_steps_per_second": 17.117, |
|
"step": 297 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 1.570565104484558, |
|
"learning_rate": 0.00024625687750676884, |
|
"loss": 0.6201, |
|
"step": 594 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.6514851485148515, |
|
"eval_f1": 0.7095709570957095, |
|
"eval_loss": 0.6164775490760803, |
|
"eval_mcc": 0.33175059993848016, |
|
"eval_precision": 0.6073446327683616, |
|
"eval_recall": 0.8531746031746031, |
|
"eval_runtime": 0.94, |
|
"eval_samples_per_second": 537.23, |
|
"eval_steps_per_second": 17.021, |
|
"step": 594 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 1782, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 6, |
|
"save_steps": 500, |
|
"total_flos": 1461402531960.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.9361124407975862, |
|
"learning_rate": 0.0003693853162601533, |
|
"num_train_epochs": 6, |
|
"temperature": 21 |
|
} |
|
} |
|
|