config.json

{
  "_name_or_path": "SCUT-DLVCLab/lilt-roberta-en-base",
  "architectures": [
    "LiltForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "channel_shrink_ratio": 4,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "name",
    "1": "dob",
    "2": "gender",
    "3": "aadhaar_number",
    "4": "address_front",
    "5": "father_name_front_top",
    "6": "mobile_number",
    "7": "address_back",
    "8": "father_name_back",
    "9": "father_name",
    "10": "mother_name",
    "11": "husband_name",
    "12": "other"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "aadhaar_number": 3,
    "address_back": 7,
    "address_front": 4,
    "dob": 1,
    "father_name": 9,
    "father_name_back": 8,
    "father_name_front_top": 5,
    "gender": 2,
    "husband_name": 11,
    "mobile_number": 6,
    "mother_name": 10,
    "name": 0,
    "other": 12
  },
  "layer_norm_eps": 1e-05,
  "max_2d_position_embeddings": 1024,
  "max_position_embeddings": 514,
  "model_type": "lilt",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.38.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}