{ "best_metric": 0.8314220183486238, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-41/checkpoint-527", "epoch": 4.0, "eval_steps": 500, "global_step": 2108, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 13.133516311645508, "learning_rate": 0.00019951632086846584, "loss": 0.9141, "step": 527 }, { "epoch": 1.0, "eval_accuracy": 0.8314220183486238, "eval_loss": 0.9435493350028992, "eval_runtime": 2.8138, "eval_samples_per_second": 309.897, "eval_steps_per_second": 2.488, "step": 527 }, { "epoch": 2.0, "grad_norm": 6.979046821594238, "learning_rate": 0.00013301088057897722, "loss": 0.4473, "step": 1054 }, { "epoch": 2.0, "eval_accuracy": 0.8268348623853211, "eval_loss": 1.0495487451553345, "eval_runtime": 2.8143, "eval_samples_per_second": 309.848, "eval_steps_per_second": 2.487, "step": 1054 }, { "epoch": 3.0, "grad_norm": 42.47988510131836, "learning_rate": 6.650544028948861e-05, "loss": 0.3269, "step": 1581 }, { "epoch": 3.0, "eval_accuracy": 0.8176605504587156, "eval_loss": 1.1648478507995605, "eval_runtime": 2.825, "eval_samples_per_second": 308.672, "eval_steps_per_second": 2.478, "step": 1581 }, { "epoch": 4.0, "grad_norm": 6.063735008239746, "learning_rate": 0.0, "loss": 0.2671, "step": 2108 }, { "epoch": 4.0, "eval_accuracy": 0.8222477064220184, "eval_loss": 1.1299054622650146, "eval_runtime": 2.8134, "eval_samples_per_second": 309.941, "eval_steps_per_second": 2.488, "step": 2108 } ], "logging_steps": 500, "max_steps": 2108, "num_input_tokens_seen": 0, "num_train_epochs": 4, "save_steps": 500, "total_flos": 32337743850420.0, "train_batch_size": 128, "trial_name": null, "trial_params": { "alpha": 0.6708040997397258, "learning_rate": 0.00026602176115795445, "num_train_epochs": 4, "temperature": 9 } }