{ "best_metric": 0.9400261630832187, "best_model_checkpoint": "model_saves/xlnet-large_spell_10k_2_p3/checkpoint-268", "epoch": 4.0, "global_step": 1072, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "eval_accuracy": 0.9400261630832187, "eval_loss": 0.4545843303203583, "eval_runtime": 5.2111, "eval_samples_per_second": 840.896, "eval_steps_per_second": 6.716, "step": 268 }, { "epoch": 2.0, "eval_accuracy": 0.9395509788794597, "eval_loss": 0.463368684053421, "eval_runtime": 4.9144, "eval_samples_per_second": 891.657, "eval_steps_per_second": 7.122, "step": 536 }, { "epoch": 3.0, "eval_accuracy": 0.9397242813537718, "eval_loss": 0.5049863457679749, "eval_runtime": 4.9181, "eval_samples_per_second": 890.999, "eval_steps_per_second": 7.117, "step": 804 }, { "epoch": 3.73, "learning_rate": 1e-05, "loss": 0.2924, "step": 1000 }, { "epoch": 4.0, "eval_accuracy": 0.9397075101465804, "eval_loss": 0.5557319521903992, "eval_runtime": 4.9099, "eval_samples_per_second": 892.485, "eval_steps_per_second": 7.128, "step": 1072 }, { "epoch": 4.0, "step": 1072, "total_flos": 1.7283799071064064e+16, "train_loss": 0.28738758724127245, "train_runtime": 454.0424, "train_samples_per_second": 1133.286, "train_steps_per_second": 8.854 } ], "max_steps": 4020, "num_train_epochs": 15, "total_flos": 1.7283799071064064e+16, "trial_name": null, "trial_params": null }