| { |
| "best_metric": 0.2669081389904022, |
| "best_model_checkpoint": "bert-finetuned-das/run-2/checkpoint-820", |
| "epoch": 2.0, |
| "eval_steps": 500, |
| "global_step": 820, |
| "is_hyper_param_search": true, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.8903775883069428, |
| "eval_loss": 0.3384491503238678, |
| "eval_runtime": 2.0928, |
| "eval_samples_per_second": 392.288, |
| "eval_steps_per_second": 24.847, |
| "step": 410 |
| }, |
| { |
| "epoch": 1.2195121951219512, |
| "grad_norm": 1.6518828868865967, |
| "learning_rate": 5.3856111022740605e-06, |
| "loss": 0.4169, |
| "step": 500 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.9086479902557856, |
| "eval_loss": 0.2669081389904022, |
| "eval_runtime": 2.1495, |
| "eval_samples_per_second": 381.941, |
| "eval_steps_per_second": 24.191, |
| "step": 820 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 1230, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 3, |
| "save_steps": 500, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": false |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 113814292959792.0, |
| "train_batch_size": 8, |
| "trial_name": null, |
| "trial_params": { |
| "learning_rate": 9.074385829859034e-06, |
| "num_train_epochs": 3, |
| "per_device_train_batch_size": 8, |
| "seed": 37 |
| } |
| } |
|
|
