config.json

{
  "_name_or_path": "bert-base-cased",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-Brand",
    "10": "I-TM",
    "11": "B-Color",
    "12": "I-Color",
    "13": "B-Tahun",
    "14": "I-Tahun",
    "2": "I-Brand",
    "3": "B-Model",
    "4": "I-Model",
    "5": "B-Tipe",
    "6": "I-Tipe",
    "7": "B-CC",
    "8": "I-CC",
    "9": "B-TM"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-Brand": "1",
    "B-CC": "7",
    "B-Color": "11",
    "B-Model": "3",
    "B-TM": "9",
    "B-Tahun": "13",
    "B-Tipe": "5",
    "I-Brand": "2",
    "I-CC": "8",
    "I-Color": "12",
    "I-Model": "4",
    "I-TM": "10",
    "I-Tahun": "14",
    "I-Tipe": "6",
    "O": "0"
  },
  "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": "4.22.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996
}