{
  "architectures": [
    "MultiTaskClassifier"
  ],
  "classes": [
    [
      "satire",
      "opinion",
      "reporting"
    ],
    [
      "Economic",
      "Capacity_and_resources",
      "Morality",
      "Fairness_and_equality",
      "Legality_Constitutionality_and_jurisprudence",
      "Policy_prescription_and_evaluation",
      "Crime_and_punishment",
      "Security_and_defense",
      "Health_and_safety",
      "Quality_of_life",
      "Cultural_identity",
      "Public_opinion",
      "Political",
      "External_regulation_and_reputation"
    ],
    [
      "Appeal_to_Authority",
      "Appeal_to_Popularity",
      "Appeal_to_Values",
      "Appeal_to_Fear-Prejudice",
      "Flag_Waving",
      "Causal_Oversimplification",
      "False_Dilemma-No_Choice",
      "Consequential_Oversimplification",
      "Straw_Man",
      "Red_Herring",
      "Whataboutism",
      "Slogans",
      "Appeal_to_Time",
      "Conversation_Killer",
      "Loaded_Language",
      "Repetition",
      "Exaggeration-Minimisation",
      "Obfuscation-Vagueness-Confusion",
      "Name_Calling-Labeling",
      "Doubt",
      "Guilt_by_Association",
      "Appeal_to_Hypocrisy",
      "Questioning_the_Reputation"
    ]
  ],
  "final_layer_size": 32,
  "model_type": "MultiTaskClassifier",
  "second_transformer_checkpoint": null,
  "t1_last_layer_size": 768,
  "t2_last_layer_size": null,
  "task_nums": 3,
  "torch_dtype": "float32",
  "transformer_checkpoint": "xlm-roberta-base",
  "transformers_version": "4.34.0",
  "use_auto_encoder": false
}