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{
  "add_cross_attention": false,
  "architectures": [
    "RobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "dtype": "float32",
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "Catastrophizing",
    "1": "Discounting the positive",
    "2": "Labeling and mislabeling",
    "3": "Mental filtering",
    "4": "Jumping to conclusions: mind reading",
    "5": "Jumping to conclusions: Fortune-telling",
    "6": "Overgeneralization",
    "7": "Personalization",
    "8": "Black-and-white or polarized thinking / All or nothing thinking",
    "9": "Should statements",
    "10": "None"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "is_decoder": false,
  "label2id": {
    "Black-and-white or polarized thinking / All or nothing thinking": 8,
    "Catastrophizing": 0,
    "Discounting the positive": 1,
    "Jumping to conclusions: Fortune-telling": 5,
    "Jumping to conclusions: mind reading": 4,
    "Labeling and mislabeling": 2,
    "Mental filtering": 3,
    "None": 10,
    "Overgeneralization": 6,
    "Personalization": 7,
    "Should statements": 9
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 1,
  "tie_word_embeddings": true,
  "transformers_version": "5.0.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}