{ "best_metric": 0.8, "best_model_checkpoint": "bert-base-multilingual-uncased-sentiment-finetuned-mnli/checkpoint-1080", "epoch": 2.0, "global_step": 2160, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.46, "learning_rate": 1.537037037037037e-05, "loss": 0.5815, "step": 500 }, { "epoch": 0.93, "learning_rate": 1.0740740740740742e-05, "loss": 0.5554, "step": 1000 }, { "epoch": 1.0, "eval_accuracy": 0.8, "eval_loss": 0.5202942490577698, "eval_runtime": 45.5353, "eval_samples_per_second": 94.872, "eval_steps_per_second": 5.929, "step": 1080 }, { "epoch": 1.39, "learning_rate": 6.111111111111112e-06, "loss": 0.4584, "step": 1500 }, { "epoch": 1.85, "learning_rate": 1.4814814814814815e-06, "loss": 0.4243, "step": 2000 }, { "epoch": 2.0, "eval_accuracy": 0.7983796296296296, "eval_loss": 0.549648642539978, "eval_runtime": 45.476, "eval_samples_per_second": 94.995, "eval_steps_per_second": 5.937, "step": 2160 } ], "max_steps": 2160, "num_train_epochs": 2, "total_flos": 9093363003555840.0, "trial_name": null, "trial_params": null }