{ "best_metric": 0.786692759295499, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-3/checkpoint-96", "epoch": 1.0, "eval_steps": 500, "global_step": 96, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 1.2690824270248413, "learning_rate": 0.00018636956997148543, "loss": 0.4818, "step": 96 }, { "epoch": 1.0, "eval_accuracy": 0.786692759295499, "eval_f1": 0.8039568345323741, "eval_loss": 0.4252791106700897, "eval_precision": 0.7437603993344426, "eval_recall": 0.8747553816046967, "eval_runtime": 31.9977, "eval_samples_per_second": 31.94, "eval_steps_per_second": 1.0, "step": 96 } ], "logging_steps": 500, "max_steps": 672, "num_input_tokens_seen": 0, "num_train_epochs": 7, "save_steps": 500, "total_flos": 235695197280.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.6895915406036343, "learning_rate": 0.000217431164966733, "num_train_epochs": 7, "temperature": 20 } }