{ "best_metric": 0.8101761252446184, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-2/checkpoint-288", "epoch": 3.0, "eval_steps": 500, "global_step": 288, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 1.613167643547058, "learning_rate": 0.00027081825418014463, "loss": 0.516, "step": 96 }, { "epoch": 1.0, "eval_accuracy": 0.7837573385518591, "eval_f1": 0.8073234524847429, "eval_loss": 0.44109782576560974, "eval_precision": 0.7279874213836478, "eval_recall": 0.9060665362035225, "eval_runtime": 31.7637, "eval_samples_per_second": 32.175, "eval_steps_per_second": 1.007, "step": 96 }, { "epoch": 2.0, "grad_norm": 2.826476812362671, "learning_rate": 0.00013540912709007232, "loss": 0.4436, "step": 192 }, { "epoch": 2.0, "eval_accuracy": 0.7964774951076321, "eval_f1": 0.820069204152249, "eval_loss": 0.42240670323371887, "eval_precision": 0.7348837209302326, "eval_recall": 0.9275929549902152, "eval_runtime": 30.3967, "eval_samples_per_second": 33.622, "eval_steps_per_second": 1.053, "step": 192 }, { "epoch": 3.0, "grad_norm": 2.404919147491455, "learning_rate": 0.0, "loss": 0.4233, "step": 288 }, { "epoch": 3.0, "eval_accuracy": 0.8101761252446184, "eval_f1": 0.8264758497316635, "eval_loss": 0.41113388538360596, "eval_precision": 0.7611202635914333, "eval_recall": 0.9041095890410958, "eval_runtime": 30.8837, "eval_samples_per_second": 33.092, "eval_steps_per_second": 1.036, "step": 288 } ], "logging_steps": 500, "max_steps": 288, "num_input_tokens_seen": 0, "num_train_epochs": 3, "save_steps": 500, "total_flos": 707085591840.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.7853139256228429, "learning_rate": 0.00040622738127021695, "num_train_epochs": 3, "temperature": 5 } }