config.json

{
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "_",
    "1": "2",
    "10": "Lni",
    "11": "N",
    "12": "p",
    "13": "P",
    "14": "S",
    "15": "T",
    "16": "V",
    "17": "X",
    "18": "Y",
    "19": "Z",
    "2": "A",
    "3": "D",
    "4": "G",
    "5": "I",
    "6": "J",
    "7": "K",
    "8": "ks",
    "9": "L0"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "2": 1,
    "A": 2,
    "D": 3,
    "G": 4,
    "I": 5,
    "J": 6,
    "K": 7,
    "L0": 9,
    "Lni": 10,
    "N": 11,
    "P": 13,
    "S": 14,
    "T": 15,
    "V": 16,
    "X": 17,
    "Y": 18,
    "Z": 19,
    "_": 0,
    "ks": 8,
    "p": 12
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "type_vocab_size": 2,
  "vocab_size": 50000
}