{
  "_num_labels": 22,
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "_",
    "2": "ATR",
    "3": "ATR.d",
    "4": "CAG",
    "5": "CC",
    "6": "CD",
    "7": "CD.Q",
    "8": "CI",
    "9": "CPRED",
    "10": "CPRED.CD",
    "11": "CPRED.SUJ",
    "12": "CREG",
    "13": "ET",
    "14": "IMPERS",
    "15": "MOD",
    "16": "NEG",
    "17": "PASS",
    "18": "PUNC",
    "19": "ROOT",
    "20": "SUJ",
    "21": "VOC"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "ATR": 2,
    "ATR.d": 3,
    "CAG": 4,
    "CC": 5,
    "CD": 6,
    "CD.Q": 7,
    "CI": 8,
    "CPRED": 9,
    "CPRED.CD": 10,
    "CPRED.SUJ": 11,
    "CREG": 12,
    "ET": 13,
    "IMPERS": 14,
    "MOD": 15,
    "NEG": 16,
    "O": 0,
    "PASS": 17,
    "PUNC": 18,
    "ROOT": 19,
    "SUJ": 20,
    "VOC": 21,
    "_": 1
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "type_vocab_size": 2,
  "vocab_size": 31002
}