{ "best_metric": 0.5188118811881188, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-1/checkpoint-297", "epoch": 1.0, "eval_steps": 500, "global_step": 297, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 0.8816747665405273, "learning_rate": 0.0001319007893143593, "loss": 0.4812, "step": 297 }, { "epoch": 1.0, "eval_accuracy": 0.5188118811881188, "eval_loss": 0.4719693958759308, "eval_runtime": 14.5929, "eval_samples_per_second": 34.606, "eval_steps_per_second": 1.096, "step": 297 } ], "logging_steps": 500, "max_steps": 2970, "num_input_tokens_seen": 0, "num_train_epochs": 10, "save_steps": 500, "total_flos": 777843283140.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.6312656697409034, "learning_rate": 0.00014655643257151032, "num_train_epochs": 10, "temperature": 21 } }