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{
  "_name_or_path": "AutoTrain",
  "_num_labels": 14,
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "AnthropologyAndSociology",
    "1": "ArtAndLiterature",
    "2": "Culture",
    "3": "Education",
    "4": "History",
    "5": "LanguageAndLiguistics",
    "6": "Law",
    "7": "Medical",
    "8": "Philosophy",
    "9": "Politics",
    "10": "Religion",
    "11": "Sports",
    "12": "finance-and-economy",
    "13": "science-and-technology"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "AnthropologyAndSociology": 0,
    "ArtAndLiterature": 1,
    "Culture": 2,
    "Education": 3,
    "History": 4,
    "LanguageAndLiguistics": 5,
    "Law": 6,
    "Medical": 7,
    "Philosophy": 8,
    "Politics": 9,
    "Religion": 10,
    "Sports": 11,
    "finance-and-economy": 12,
    "science-and-technology": 13
  },
  "layer_norm_eps": 1e-12,
  "max_length": 64,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "padding": "max_length",
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.29.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 64000
}