| { | |
| "best_metric": 0.6792079207920793, | |
| "best_model_checkpoint": "tiny-bert-sst2-distilled/run-10/checkpoint-1485", | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 1485, | |
| "is_hyper_param_search": true, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 2.256939649581909, | |
| "learning_rate": 0.00020003476406791257, | |
| "loss": 0.6792, | |
| "step": 297 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5623762376237624, | |
| "eval_f1": 0.4199475065616798, | |
| "eval_loss": 0.6835970878601074, | |
| "eval_mcc": 0.14191809339823447, | |
| "eval_precision": 0.6201550387596899, | |
| "eval_recall": 0.31746031746031744, | |
| "eval_runtime": 0.9302, | |
| "eval_samples_per_second": 542.921, | |
| "eval_steps_per_second": 17.201, | |
| "step": 297 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 2.075068712234497, | |
| "learning_rate": 0.00016002781125433002, | |
| "loss": 0.6413, | |
| "step": 594 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.6475247524752475, | |
| "eval_f1": 0.6920415224913495, | |
| "eval_loss": 0.6267873644828796, | |
| "eval_mcc": 0.3090077890032306, | |
| "eval_precision": 0.6134969325153374, | |
| "eval_recall": 0.7936507936507936, | |
| "eval_runtime": 0.9329, | |
| "eval_samples_per_second": 541.318, | |
| "eval_steps_per_second": 17.151, | |
| "step": 594 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 2.5431761741638184, | |
| "learning_rate": 0.00012002085844074753, | |
| "loss": 0.6128, | |
| "step": 891 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.6376237623762376, | |
| "eval_f1": 0.7127158555729984, | |
| "eval_loss": 0.6455628275871277, | |
| "eval_mcc": 0.3245645841843151, | |
| "eval_precision": 0.5896103896103896, | |
| "eval_recall": 0.9007936507936508, | |
| "eval_runtime": 0.9321, | |
| "eval_samples_per_second": 541.772, | |
| "eval_steps_per_second": 17.165, | |
| "step": 891 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 1.826803207397461, | |
| "learning_rate": 8.001390562716501e-05, | |
| "loss": 0.5934, | |
| "step": 1188 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.6554455445544555, | |
| "eval_f1": 0.7156862745098039, | |
| "eval_loss": 0.6337190866470337, | |
| "eval_mcc": 0.3445175537543676, | |
| "eval_precision": 0.6083333333333333, | |
| "eval_recall": 0.8690476190476191, | |
| "eval_runtime": 0.9303, | |
| "eval_samples_per_second": 542.814, | |
| "eval_steps_per_second": 17.198, | |
| "step": 1188 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 3.4030377864837646, | |
| "learning_rate": 4.0006952813582505e-05, | |
| "loss": 0.5801, | |
| "step": 1485 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.6792079207920793, | |
| "eval_f1": 0.7054545454545453, | |
| "eval_loss": 0.6095411777496338, | |
| "eval_mcc": 0.3647441045625896, | |
| "eval_precision": 0.6510067114093959, | |
| "eval_recall": 0.7698412698412699, | |
| "eval_runtime": 0.9333, | |
| "eval_samples_per_second": 541.076, | |
| "eval_steps_per_second": 17.143, | |
| "step": 1485 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 1782, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 6, | |
| "save_steps": 500, | |
| "total_flos": 3653506329900.0, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": { | |
| "alpha": 0.9802546625572438, | |
| "learning_rate": 0.00024004171688149506, | |
| "num_train_epochs": 6, | |
| "temperature": 49 | |
| } | |
| } | |