config.json

{
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "ADJ",
    "1": "ADV",
    "2": "CCONJ",
    "3": "PUNCT",
    "4": "PRON",
    "5": "DET",
    "6": "AUX",
    "7": "NUM",
    "8": "PART",
    "9": "SCONJ",
    "10": "INTJ",
    "11": "NOUN",
    "12": "PROPN",
    "13": "SYM",
    "14": "X",
    "15": "VERB",
    "16": "ADP"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "ADJ": 0,
    "ADP": 16,
    "ADV": 1,
    "AUX": 6,
    "CCONJ": 2,
    "DET": 5,
    "INTJ": 10,
    "NOUN": 11,
    "NUM": 7,
    "PART": 8,
    "PRON": 4,
    "PROPN": 12,
    "PUNCT": 3,
    "SCONJ": 9,
    "SYM": 13,
    "VERB": 15,
    "X": 14
  },
  "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",
  "transformers_version": "4.51.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 64000
}