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{
  "_name_or_path": "AutoNLP",
  "_num_labels": 11,
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "cyclone",
    "1": "earthquake",
    "2": "explosion",
    "3": "fire",
    "4": "flood",
    "5": "hurricane",
    "6": "medical",
    "7": "pollution",
    "8": "tornado",
    "9": "typhoon",
    "10": "volcano"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "cyclone": 0,
    "earthquake": 1,
    "explosion": 2,
    "fire": 3,
    "flood": 4,
    "hurricane": 5,
    "medical": 6,
    "pollution": 7,
    "tornado": 8,
    "typhoon": 9,
    "volcano": 10
  },
  "layer_norm_eps": 1e-12,
  "max_length": 256,
  "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",
  "transformers_version": "4.8.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}