{
  "_name_or_path": "../../bert",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Agricultural and Biological Sciences",
    "1": "Biochemistry, Genetics and Molecular Biology",
    "2": "Chemical Engineering",
    "3": "Chemistry",
    "4": "Computer Science",
    "5": "Earth and Planetary",
    "6": "Economics, Econometrics and Finance",
    "7": "Engineering",
    "8": "Food Science",
    "9": "Immunology and Microbiology",
    "10": "Materials Science",
    "11": "Mathematics",
    "12": "Medicine and Dentistry",
    "13": "Neuroscience",
    "14": "Nursing and Health Professions",
    "15": "Pharmacology, Toxicology and Pharmaceutical Science",
    "16": "Physics and Astronomy",
    "17": "Psychology",
    "18": "Social Sciences",
    "19": "Veterinary Science and Veterinary Medicine"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Agricultural and Biological Sciences": 0,
    "Biochemistry, Genetics and Molecular Biology": 1,
    "Chemical Engineering": 2,
    "Chemistry": 3,
    "Computer Science": 4,
    "Earth and Planetary": 5,
    "Economics, Econometrics and Finance": 6,
    "Engineering": 7,
    "Food Science": 8,
    "Immunology and Microbiology": 9,
    "Materials Science": 10,
    "Mathematics": 11,
    "Medicine and Dentistry": 12,
    "Neuroscience": 13,
    "Nursing and Health Professions": 14,
    "Pharmacology, Toxicology and Pharmaceutical Science": 15,
    "Physics and Astronomy": 16,
    "Psychology": 17,
    "Social Sciences": 18,
    "Veterinary Science and Veterinary Medicine": 19
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.42.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}