{ "model": { "accuracy": 0.6445830085736555, "macro_f1": 0.6350839549911429, "f1_fake": 0.6939597315436241, "precision_fake": 0.775112443778111, "recall_fake": 0.6281895504252734, "roc_auc": 0.6959308468487506 }, "baseline_majority": { "accuracy": 0.6414653156664069, "macro_f1": 0.39078822412155745, "f1_fake": 0.7815764482431149, "precision_fake": 0.6414653156664069, "recall_fake": 1.0 }, "baseline_tfidf_logreg": { "accuracy": 0.6219797349961029, "macro_f1": 0.6025029496631283, "f1_fake": 0.6904913848117422, "precision_fake": 0.7271505376344086, "recall_fake": 0.6573511543134872, "roc_auc": 0.6495694437107086 }, "confusion_matrix": [ [ 310, 150 ], [ 306, 517 ] ], "ece": 0.04245237071162911, "per_class": [ { "label_name": "false", "n": 250, "accuracy": 0.652, "mean_p_fake": 0.5863052606582642, "binary": "FAKE" }, { "label_name": "half-true", "n": 267, "accuracy": 0.5318352059925093, "mean_p_fake": 0.5340710878372192, "binary": "FAKE" }, { "label_name": "mostly-true", "n": 249, "accuracy": 0.6626506024096386, "mean_p_fake": 0.45594820380210876, "binary": "REAL" }, { "label_name": "true", "n": 211, "accuracy": 0.6872037914691943, "mean_p_fake": 0.44890156388282776, "binary": "REAL" }, { "label_name": "barely-true", "n": 214, "accuracy": 0.6682242990654206, "mean_p_fake": 0.5944609642028809, "binary": "FAKE" }, { "label_name": "pants-fire", "n": 92, "accuracy": 0.75, "mean_p_fake": 0.6390070915222168, "binary": "FAKE" } ], "thresholds": [ { "threshold": 0.05, "precision": 0.6414653156664069, "recall": 1.0, "f1": 0.7815764482431149, "accuracy": 0.6414653156664069, "flagged_rate": 1.0 }, { "threshold": 0.1, "precision": 0.6414653156664069, "recall": 1.0, "f1": 0.7815764482431149, "accuracy": 0.6414653156664069, "flagged_rate": 1.0 }, { "threshold": 0.15, "precision": 0.6414653156664069, "recall": 1.0, "f1": 0.7815764482431149, "accuracy": 0.6414653156664069, "flagged_rate": 1.0 }, { "threshold": 0.2, "precision": 0.641965678627145, "recall": 1.0, "f1": 0.7819477434679335, "accuracy": 0.642244738893219, "flagged_rate": 0.9992205767731879 }, { "threshold": 0.25, "precision": 0.649164677804296, "recall": 0.991494532199271, "f1": 0.7846153846153846, "accuracy": 0.6508183943881528, "flagged_rate": 0.9797349961028838 }, { "threshold": 0.3, "precision": 0.6692640692640692, "recall": 0.9392466585662211, "f1": 0.78159757330637, "accuracy": 0.6632891660171473, "flagged_rate": 0.9002338269680437 }, { "threshold": 0.35, "precision": 0.7057057057057057, "recall": 0.8566221142162819, "f1": 0.7738748627881449, "accuracy": 0.6788776305533905, "flagged_rate": 0.7786438035853468 }, { "threshold": 0.4, "precision": 0.7332576617480137, "recall": 0.7849331713244229, "f1": 0.7582159624413145, "accuracy": 0.6788776305533905, "flagged_rate": 0.686671862821512 }, { "threshold": 0.45, "precision": 0.7464239271781534, "recall": 0.6974483596597812, "f1": 0.7211055276381909, "accuracy": 0.6539360872954014, "flagged_rate": 0.5993764614185503 }, { "threshold": 0.5, "precision": 0.775112443778111, "recall": 0.6281895504252734, "f1": 0.6939597315436241, "accuracy": 0.6445830085736555, "flagged_rate": 0.5198752922837101 }, { "threshold": 0.55, "precision": 0.7837370242214533, "recall": 0.5504252733900364, "f1": 0.6466809421841542, "accuracy": 0.6141855027279813, "flagged_rate": 0.4505066250974279 }, { "threshold": 0.6, "precision": 0.7964071856287425, "recall": 0.4848116646415553, "f1": 0.6027190332326284, "accuracy": 0.5900233826968043, "flagged_rate": 0.39049103663289164 }, { "threshold": 0.65, "precision": 0.8107416879795396, "recall": 0.38517618469015796, "f1": 0.5222405271828665, "accuracy": 0.5479345284489477, "flagged_rate": 0.3047544816835542 }, { "threshold": 0.7, "precision": 0.835016835016835, "recall": 0.30133657351154314, "f1": 0.44285714285714284, "accuracy": 0.5136399064692128, "flagged_rate": 0.23148869836321123 }, { "threshold": 0.75, "precision": 0.8564356435643564, "recall": 0.21020656136087484, "f1": 0.3375609756097561, "accuracy": 0.47077162899454406, "flagged_rate": 0.15744349181605613 }, { "threshold": 0.8, "precision": 0.8837209302325582, "recall": 0.1385176184690158, "f1": 0.23949579831932774, "accuracy": 0.4356975837879969, "flagged_rate": 0.10054559625876851 }, { "threshold": 0.85, "precision": 0.873015873015873, "recall": 0.06682867557715674, "f1": 0.12415349887133183, "accuracy": 0.3951675759937646, "flagged_rate": 0.049103663289166016 }, { "threshold": 0.9, "precision": 1.0, "recall": 0.014580801944106925, "f1": 0.02874251497005988, "accuracy": 0.36788776305533905, "flagged_rate": 0.009353078721745909 }, { "threshold": 0.95, "precision": 0.0, "recall": 0.0, "f1": 0.0, "accuracy": 0.35853468433359315, "flagged_rate": 0.0 } ], "label_map": { "false": 1, "half-true": 1, "mostly-true": 0, "true": 0, "barely-true": 1, "pants-fire": 1 }, "config": { "base_model": "roberta-base", "max_len": 128, "epochs": 3, "lr": 2e-05, "batch_size": 16, "seed": 42, "class_weights": [ 1.4071, 0.7756 ], "train_minutes": 5.5, "hardware": "Tesla T4", "data_source": "hub:ucsbnlp/liar" } }