| { | |
| "best_metric": 0.5070207143299597, | |
| "best_model_checkpoint": "distilbert-base-uncased-finetuned-cola/run-4/checkpoint-804", | |
| "epoch": 3.0, | |
| "eval_steps": 500, | |
| "global_step": 804, | |
| "is_hyper_param_search": true, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 0.478412002325058, | |
| "eval_matthews_correlation": 0.4981947529906373, | |
| "eval_runtime": 0.7412, | |
| "eval_samples_per_second": 1407.09, | |
| "eval_steps_per_second": 89.039, | |
| "step": 268 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "learning_rate": 8.253927295488848e-06, | |
| "loss": 0.4708, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 0.45441004633903503, | |
| "eval_matthews_correlation": 0.5010631117439056, | |
| "eval_runtime": 0.8128, | |
| "eval_samples_per_second": 1283.245, | |
| "eval_steps_per_second": 81.202, | |
| "step": 536 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_loss": 0.5127615332603455, | |
| "eval_matthews_correlation": 0.5070207143299597, | |
| "eval_runtime": 0.7719, | |
| "eval_samples_per_second": 1351.188, | |
| "eval_steps_per_second": 85.502, | |
| "step": 804 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 1072, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 4, | |
| "save_steps": 500, | |
| "total_flos": 95450522493288.0, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": { | |
| "learning_rate": 1.546889870762945e-05, | |
| "num_train_epochs": 4, | |
| "per_device_train_batch_size": 32, | |
| "seed": 6 | |
| } | |
| } | |