{ "best_metric": 0.6096339821815491, "best_model_checkpoint": "BERT-WMM/run-1/checkpoint-1066", "epoch": 3.0, "eval_steps": 500, "global_step": 1599, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.94, "grad_norm": 13.094008445739746, "learning_rate": 6.009687524192743e-06, "loss": 0.7652, "step": 500 }, { "epoch": 1.0, "eval_accuracy": 0.7244131455399061, "eval_loss": 0.6637173295021057, "eval_runtime": 2.0459, "eval_samples_per_second": 1041.116, "eval_steps_per_second": 65.497, "step": 533 }, { "epoch": 1.88, "grad_norm": 24.103755950927734, "learning_rate": 3.27552577524245e-06, "loss": 0.543, "step": 1000 }, { "epoch": 2.0, "eval_accuracy": 0.7615023474178404, "eval_loss": 0.6096339821815491, "eval_runtime": 2.2188, "eval_samples_per_second": 959.966, "eval_steps_per_second": 60.392, "step": 1066 }, { "epoch": 2.81, "grad_norm": 58.51288986206055, "learning_rate": 5.413640262921578e-07, "loss": 0.4444, "step": 1500 }, { "epoch": 3.0, "eval_accuracy": 0.7596244131455399, "eval_loss": 0.6346573233604431, "eval_runtime": 2.0157, "eval_samples_per_second": 1056.709, "eval_steps_per_second": 66.478, "step": 1599 } ], "logging_steps": 500, "max_steps": 1599, "num_input_tokens_seen": 0, "num_train_epochs": 3, "save_steps": 500, "total_flos": 507646505902536.0, "train_batch_size": 16, "trial_name": null, "trial_params": { "learning_rate": 8.743849273143035e-06 } }