{ "best_metric": 0.8173333333333334, "best_model_checkpoint": "Bert_tinybert-distilled/run-31/checkpoint-688", "epoch": 6.0, "eval_steps": 500, "global_step": 1032, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 0.9708962440490723, "learning_rate": 0.00018007353154788933, "loss": 0.5186, "step": 172 }, { "epoch": 1.0, "eval_AUC": 0.8338702222222223, "eval_BAC": 0.758, "eval_MCC": 0.5164413442563544, "eval_PR_AUC": 0.7903470719520844, "eval_accuracy": 0.758, "eval_loss": 0.45808151364326477, "eval_runtime": 6.2856, "eval_samples_per_second": 238.642, "eval_steps_per_second": 7.477, "step": 172 }, { "epoch": 2.0, "grad_norm": 1.5569114685058594, "learning_rate": 0.0001543487413267623, "loss": 0.4771, "step": 344 }, { "epoch": 2.0, "eval_AUC": 0.8571271111111111, "eval_BAC": 0.7793333333333333, "eval_MCC": 0.591094330111451, "eval_PR_AUC": 0.8037547287750328, "eval_accuracy": 0.7793333333333333, "eval_loss": 0.4492648243904114, "eval_runtime": 6.2364, "eval_samples_per_second": 240.525, "eval_steps_per_second": 7.536, "step": 344 }, { "epoch": 3.0, "grad_norm": 2.398871898651123, "learning_rate": 0.00012862395110563524, "loss": 0.4628, "step": 516 }, { "epoch": 3.0, "eval_AUC": 0.8642417777777778, "eval_BAC": 0.7986666666666666, "eval_MCC": 0.5973864367101849, "eval_PR_AUC": 0.8284732954100074, "eval_accuracy": 0.7986666666666666, "eval_loss": 0.425106942653656, "eval_runtime": 6.229, "eval_samples_per_second": 240.809, "eval_steps_per_second": 7.545, "step": 516 }, { "epoch": 4.0, "grad_norm": 2.736416816711426, "learning_rate": 0.0001028991608845082, "loss": 0.453, "step": 688 }, { "epoch": 4.0, "eval_AUC": 0.8754026666666667, "eval_BAC": 0.8173333333333332, "eval_MCC": 0.6381270399870552, "eval_PR_AUC": 0.8391884252076478, "eval_accuracy": 0.8173333333333334, "eval_loss": 0.4091016352176666, "eval_runtime": 6.2348, "eval_samples_per_second": 240.585, "eval_steps_per_second": 7.538, "step": 688 }, { "epoch": 5.0, "grad_norm": 2.7166924476623535, "learning_rate": 7.717437066338115e-05, "loss": 0.4436, "step": 860 }, { "epoch": 5.0, "eval_AUC": 0.8772906666666666, "eval_BAC": 0.8113333333333334, "eval_MCC": 0.6330057971036138, "eval_PR_AUC": 0.8365753409728844, "eval_accuracy": 0.8113333333333334, "eval_loss": 0.4114744961261749, "eval_runtime": 6.2226, "eval_samples_per_second": 241.056, "eval_steps_per_second": 7.553, "step": 860 }, { "epoch": 6.0, "grad_norm": 4.523271560668945, "learning_rate": 5.14495804422541e-05, "loss": 0.4382, "step": 1032 }, { "epoch": 6.0, "eval_AUC": 0.8797031111111111, "eval_BAC": 0.8173333333333334, "eval_MCC": 0.6408579236799679, "eval_PR_AUC": 0.8454815799054289, "eval_accuracy": 0.8173333333333334, "eval_loss": 0.4119183421134949, "eval_runtime": 6.233, "eval_samples_per_second": 240.656, "eval_steps_per_second": 7.541, "step": 1032 } ], "logging_steps": 500, "max_steps": 1376, "num_input_tokens_seen": 0, "num_train_epochs": 8, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 2702266380000.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.8022374115576867, "learning_rate": 0.0002057983217690164, "num_train_epochs": 8, "temperature": 4 } }