{ "best_metric": 0.7901376146788991, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-2/checkpoint-1054", "epoch": 2.0, "eval_steps": 500, "global_step": 1054, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 7.264369964599609, "learning_rate": 2.1662503772415e-05, "loss": 0.9021, "step": 527 }, { "epoch": 1.0, "eval_accuracy": 0.783256880733945, "eval_loss": 0.7694150805473328, "eval_runtime": 2.5918, "eval_samples_per_second": 336.446, "eval_steps_per_second": 2.701, "step": 527 }, { "epoch": 2.0, "grad_norm": 13.286161422729492, "learning_rate": 0.0, "loss": 0.6713, "step": 1054 }, { "epoch": 2.0, "eval_accuracy": 0.7901376146788991, "eval_loss": 0.7401114702224731, "eval_runtime": 2.6174, "eval_samples_per_second": 333.153, "eval_steps_per_second": 2.674, "step": 1054 } ], "logging_steps": 500, "max_steps": 1054, "num_input_tokens_seen": 0, "num_train_epochs": 2, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 16141525436100.0, "train_batch_size": 128, "trial_name": null, "trial_params": { "alpha": 0.8796304515753969, "learning_rate": 4.332500754483e-05, "num_train_epochs": 2, "temperature": 9 } }