|
{ |
|
"best_metric": 0.8898797983714618, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-0/checkpoint-645", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 1290, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 0.770919680595398, |
|
"learning_rate": 0.00045575725544182215, |
|
"loss": 0.2361, |
|
"step": 645 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8898797983714618, |
|
"eval_f1": 0.003508771929824561, |
|
"eval_loss": 0.22947192192077637, |
|
"eval_mcc": 0.039546160983878816, |
|
"eval_precision": 1.0, |
|
"eval_recall": 0.0017574692442882249, |
|
"eval_runtime": 9.9701, |
|
"eval_samples_per_second": 517.345, |
|
"eval_steps_per_second": 16.249, |
|
"step": 645 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.8797195553779602, |
|
"learning_rate": 0.00040511756039273084, |
|
"loss": 0.2287, |
|
"step": 1290 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8896859247770453, |
|
"eval_f1": 0.0, |
|
"eval_loss": 0.22863532602787018, |
|
"eval_mcc": 0.0, |
|
"eval_precision": 0.0, |
|
"eval_recall": 0.0, |
|
"eval_runtime": 10.133, |
|
"eval_samples_per_second": 509.028, |
|
"eval_steps_per_second": 15.987, |
|
"step": 1290 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 6450, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"total_flos": 3173885065200.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.6185480031675171, |
|
"learning_rate": 0.0005063969504909135, |
|
"num_train_epochs": 10, |
|
"temperature": 26 |
|
} |
|
} |
|
|