{ "best_metric": 0.8523994617102314, "best_model_checkpoint": "distilhubert-finetuned-mixed-data/checkpoint-54", "epoch": 12.0, "eval_steps": 500, "global_step": 54, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.8888888888888888, "eval_accuracy": 0.63003663003663, "eval_confusion_matrix": [ [ 53, 0, 16, 3 ], [ 28, 1, 31, 0 ], [ 13, 0, 62, 1 ], [ 3, 0, 6, 56 ] ], "eval_f1": 0.566693372031096, "eval_loss": 1.31327486038208, "eval_precision": 0.7361933549293478, "eval_recall": 0.63003663003663, "eval_runtime": 2.8436, "eval_samples_per_second": 96.005, "eval_steps_per_second": 1.055, "step": 4 }, { "epoch": 2.0, "eval_accuracy": 0.6593406593406593, "eval_confusion_matrix": [ [ 41, 10, 16, 5 ], [ 21, 1, 38, 0 ], [ 1, 2, 73, 0 ], [ 0, 0, 0, 65 ] ], "eval_f1": 0.595713773130153, "eval_loss": 0.9242589473724365, "eval_precision": 0.5696509512811321, "eval_recall": 0.6593406593406593, "eval_runtime": 2.8668, "eval_samples_per_second": 95.227, "eval_steps_per_second": 1.046, "step": 9 }, { "epoch": 2.888888888888889, "eval_accuracy": 0.717948717948718, "eval_confusion_matrix": [ [ 52, 8, 7, 5 ], [ 18, 5, 37, 0 ], [ 1, 0, 75, 0 ], [ 1, 0, 0, 64 ] ], "eval_f1": 0.6621621567125869, "eval_loss": 0.8232662081718445, "eval_precision": 0.671303801513745, "eval_recall": 0.717948717948718, "eval_runtime": 2.8711, "eval_samples_per_second": 95.084, "eval_steps_per_second": 1.045, "step": 13 }, { "epoch": 4.0, "eval_accuracy": 0.6959706959706959, "eval_confusion_matrix": [ [ 45, 9, 13, 5 ], [ 13, 5, 42, 0 ], [ 1, 0, 75, 0 ], [ 0, 0, 0, 65 ] ], "eval_f1": 0.6428796900399459, "eval_loss": 0.951453447341919, "eval_precision": 0.6613447705829899, "eval_recall": 0.6959706959706959, "eval_runtime": 2.8813, "eval_samples_per_second": 94.75, "eval_steps_per_second": 1.041, "step": 18 }, { "epoch": 4.888888888888889, "eval_accuracy": 0.6666666666666666, "eval_confusion_matrix": [ [ 16, 49, 3, 4 ], [ 1, 26, 33, 0 ], [ 0, 1, 75, 0 ], [ 0, 0, 0, 65 ] ], "eval_f1": 0.6331541584523206, "eval_loss": 1.0080645084381104, "eval_precision": 0.7358031394913882, "eval_recall": 0.6666666666666666, "eval_runtime": 2.9108, "eval_samples_per_second": 93.789, "eval_steps_per_second": 1.031, "step": 22 }, { "epoch": 6.0, "eval_accuracy": 0.652014652014652, "eval_confusion_matrix": [ [ 66, 0, 0, 6 ], [ 36, 16, 8, 0 ], [ 10, 35, 31, 0 ], [ 0, 0, 0, 65 ] ], "eval_f1": 0.6302407955860642, "eval_loss": 0.9598046541213989, "eval_precision": 0.6636241740077424, "eval_recall": 0.652014652014652, "eval_runtime": 2.9773, "eval_samples_per_second": 91.693, "eval_steps_per_second": 1.008, "step": 27 }, { "epoch": 6.888888888888889, "eval_accuracy": 0.7692307692307693, "eval_confusion_matrix": [ [ 66, 0, 0, 6 ], [ 29, 21, 10, 0 ], [ 3, 15, 58, 0 ], [ 0, 0, 0, 65 ] ], "eval_f1": 0.7527855586679116, "eval_loss": 0.7898163795471191, "eval_precision": 0.7612467677056892, "eval_recall": 0.7692307692307693, "eval_runtime": 2.8918, "eval_samples_per_second": 94.404, "eval_steps_per_second": 1.037, "step": 31 }, { "epoch": 8.0, "eval_accuracy": 0.7802197802197802, "eval_confusion_matrix": [ [ 66, 0, 0, 6 ], [ 25, 15, 19, 1 ], [ 1, 6, 68, 1 ], [ 1, 0, 0, 64 ] ], "eval_f1": 0.7471179200524057, "eval_loss": 0.7337484359741211, "eval_precision": 0.7733845922309294, "eval_recall": 0.7802197802197802, "eval_runtime": 2.9006, "eval_samples_per_second": 94.119, "eval_steps_per_second": 1.034, "step": 36 }, { "epoch": 8.88888888888889, "eval_accuracy": 0.7912087912087912, "eval_confusion_matrix": [ [ 57, 8, 3, 4 ], [ 13, 24, 23, 0 ], [ 0, 5, 71, 0 ], [ 1, 0, 0, 64 ] ], "eval_f1": 0.7766564722186922, "eval_loss": 0.7148727178573608, "eval_precision": 0.7821504483074875, "eval_recall": 0.7912087912087912, "eval_runtime": 2.8866, "eval_samples_per_second": 94.576, "eval_steps_per_second": 1.039, "step": 40 }, { "epoch": 10.0, "eval_accuracy": 0.8168498168498168, "eval_confusion_matrix": [ [ 51, 8, 1, 12 ], [ 10, 36, 14, 0 ], [ 0, 5, 71, 0 ], [ 0, 0, 0, 65 ] ], "eval_f1": 0.8094336953840884, "eval_loss": 0.7574812173843384, "eval_precision": 0.8127936625684181, "eval_recall": 0.8168498168498168, "eval_runtime": 2.8967, "eval_samples_per_second": 94.245, "eval_steps_per_second": 1.036, "step": 45 }, { "epoch": 10.88888888888889, "eval_accuracy": 0.8021978021978022, "eval_confusion_matrix": [ [ 48, 18, 2, 4 ], [ 4, 41, 15, 0 ], [ 0, 7, 69, 0 ], [ 3, 0, 1, 61 ] ], "eval_f1": 0.801525180147331, "eval_loss": 0.7140281200408936, "eval_precision": 0.8109338936925145, "eval_recall": 0.8021978021978022, "eval_runtime": 2.917, "eval_samples_per_second": 93.589, "eval_steps_per_second": 1.028, "step": 49 }, { "epoch": 12.0, "eval_accuracy": 0.8534798534798534, "eval_confusion_matrix": [ [ 56, 12, 0, 4 ], [ 6, 43, 11, 0 ], [ 0, 6, 70, 0 ], [ 1, 0, 0, 64 ] ], "eval_f1": 0.8523994617102314, "eval_loss": 0.6672152280807495, "eval_precision": 0.8540313732642031, "eval_recall": 0.8534798534798534, "eval_runtime": 2.8969, "eval_samples_per_second": 94.238, "eval_steps_per_second": 1.036, "step": 54 } ], "logging_steps": 500, "max_steps": 180, "num_input_tokens_seen": 0, "num_train_epochs": 45, "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": 2.97468834048e+16, "train_batch_size": 128, "trial_name": null, "trial_params": null }