{
  "label_map": {
    "0": "ad hominem",
    "1": "ad populum",
    "2": "appeal to emotion",
    "3": "argument from alternatives",
    "4": "argument from analogy",
    "5": "argument from cause to effect",
    "6": "argument from commitment",
    "7": "argument from example",
    "8": "argument from expert opinion",
    "9": "argument from negative consequences",
    "10": "argument from positive consequences",
    "11": "argument from practical reasoning",
    "12": "argument from sign",
    "13": "argument from values",
    "14": "circular reasoning",
    "15": "equivocation",
    "16": "fallacy of credibility",
    "17": "fallacy of extension",
    "18": "fallacy of logic",
    "19": "fallacy of relevance",
    "20": "false causality",
    "21": "false dilemma",
    "22": "faulty generalization",
    "23": "intentional"
  },
  "scheme_ids": [
    3,
    4,
    5,
    6,
    7,
    8,
    9,
    10,
    11,
    12,
    13
  ],
  "fallacy_ids": [
    0,
    1,
    2,
    14,
    15,
    16,
    17,
    18,
    19,
    20,
    21,
    22,
    23
  ],
  "scheme_labels": [
    "argument from cause to effect",
    "argument from negative consequences",
    "argument from analogy",
    "argument from commitment",
    "argument from values",
    "argument from example",
    "argument from alternatives",
    "argument from sign",
    "argument from practical reasoning",
    "argument from expert opinion",
    "argument from positive consequences"
  ],
  "fallacy_labels": [
    "intentional",
    "ad hominem",
    "fallacy of relevance",
    "false causality",
    "ad populum",
    "fallacy of credibility",
    "faulty generalization",
    "false dilemma",
    "fallacy of logic",
    "appeal to emotion",
    "circular reasoning",
    "equivocation",
    "fallacy of extension"
  ],
  "num_classes": 24,
  "model_name": "roberta-large",
  "max_len": 128,
  "best_val_f1": null,
  "best_val_loss": 1.8465,
  "epochs_trained": 5
}