{ "best_metric": 0.2816171944141388, "best_model_checkpoint": "bert_tiny_olda_book_10_v1_qqp/checkpoint-4266", "epoch": 8.0, "eval_steps": 500, "global_step": 11376, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 2.653726100921631, "learning_rate": 4.9e-05, "loss": 0.3941, "step": 1422 }, { "epoch": 1.0, "eval_accuracy": 0.8495671531041306, "eval_combined_score": 0.8165937373603761, "eval_f1": 0.7836203216166217, "eval_loss": 0.336513489484787, "eval_runtime": 8.7955, "eval_samples_per_second": 4596.684, "eval_steps_per_second": 17.964, "step": 1422 }, { "epoch": 2.0, "grad_norm": 4.036668300628662, "learning_rate": 4.8e-05, "loss": 0.2912, "step": 2844 }, { "epoch": 2.0, "eval_accuracy": 0.871036359139253, "eval_combined_score": 0.8516432680452716, "eval_f1": 0.8322501769512901, "eval_loss": 0.2904755473136902, "eval_runtime": 8.7935, "eval_samples_per_second": 4597.69, "eval_steps_per_second": 17.968, "step": 2844 }, { "epoch": 3.0, "grad_norm": 4.329303741455078, "learning_rate": 4.7e-05, "loss": 0.2365, "step": 4266 }, { "epoch": 3.0, "eval_accuracy": 0.8799901063566659, "eval_combined_score": 0.8606206257473684, "eval_f1": 0.841251145138071, "eval_loss": 0.2816171944141388, "eval_runtime": 8.738, "eval_samples_per_second": 4626.891, "eval_steps_per_second": 18.082, "step": 4266 }, { "epoch": 4.0, "grad_norm": 4.775084495544434, "learning_rate": 4.600000000000001e-05, "loss": 0.1917, "step": 5688 }, { "epoch": 4.0, "eval_accuracy": 0.8807073954983923, "eval_combined_score": 0.8578104836468514, "eval_f1": 0.8349135717953107, "eval_loss": 0.29652276635169983, "eval_runtime": 8.7166, "eval_samples_per_second": 4638.258, "eval_steps_per_second": 18.126, "step": 5688 }, { "epoch": 5.0, "grad_norm": 4.788520812988281, "learning_rate": 4.5e-05, "loss": 0.157, "step": 7110 }, { "epoch": 5.0, "eval_accuracy": 0.8831313381152609, "eval_combined_score": 0.8652846319584087, "eval_f1": 0.8474379258015563, "eval_loss": 0.30863726139068604, "eval_runtime": 8.6769, "eval_samples_per_second": 4659.482, "eval_steps_per_second": 18.209, "step": 7110 }, { "epoch": 6.0, "grad_norm": 2.376418352127075, "learning_rate": 4.4000000000000006e-05, "loss": 0.1268, "step": 8532 }, { "epoch": 6.0, "eval_accuracy": 0.8849121939154093, "eval_combined_score": 0.8672451571846468, "eval_f1": 0.8495781204538843, "eval_loss": 0.32399794459342957, "eval_runtime": 8.6806, "eval_samples_per_second": 4657.523, "eval_steps_per_second": 18.202, "step": 8532 }, { "epoch": 7.0, "grad_norm": 3.879223346710205, "learning_rate": 4.3e-05, "loss": 0.1053, "step": 9954 }, { "epoch": 7.0, "eval_accuracy": 0.8877813504823151, "eval_combined_score": 0.8686826389052493, "eval_f1": 0.8495839273281836, "eval_loss": 0.35125985741615295, "eval_runtime": 8.7172, "eval_samples_per_second": 4637.939, "eval_steps_per_second": 18.125, "step": 9954 }, { "epoch": 8.0, "grad_norm": 3.2115604877471924, "learning_rate": 4.2e-05, "loss": 0.0878, "step": 11376 }, { "epoch": 8.0, "eval_accuracy": 0.8864457086322038, "eval_combined_score": 0.8692007331332958, "eval_f1": 0.8519557576343878, "eval_loss": 0.38166430592536926, "eval_runtime": 8.7563, "eval_samples_per_second": 4617.233, "eval_steps_per_second": 18.044, "step": 11376 }, { "epoch": 8.0, "step": 11376, "total_flos": 7.633075201391002e+16, "train_loss": 0.19880325113503072, "train_runtime": 1177.802, "train_samples_per_second": 15445.975, "train_steps_per_second": 60.367 } ], "logging_steps": 1, "max_steps": 71100, "num_input_tokens_seen": 0, "num_train_epochs": 50, "save_steps": 500, "stateful_callbacks": { "EarlyStoppingCallback": { "args": { "early_stopping_patience": 5, "early_stopping_threshold": 0.0 }, "attributes": { "early_stopping_patience_counter": 5 } }, "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 7.633075201391002e+16, "train_batch_size": 256, "trial_name": null, "trial_params": null }