{
  "_name_or_path": "riteshbehera857/layoutlm-base-uncased-finetuned-invoices-1",
  "architectures": [
    "LayoutLMForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "Invoice no",
    "2": "Order id",
    "3": "Order date",
    "4": "GST no",
    "5": "Total net",
    "6": "Total gross",
    "7": "S-name",
    "8": "B-name",
    "9": "S-adress",
    "10": "B-adress"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-adress": 10,
    "B-name": 8,
    "GST no": 4,
    "Invoice no": 1,
    "O": 0,
    "Order date": 3,
    "Order id": 2,
    "S-adress": 9,
    "S-name": 7,
    "Total gross": 6,
    "Total net": 5
  },
  "layer_norm_eps": 1e-12,
  "max_2d_position_embeddings": 1024,
  "max_position_embeddings": 512,
  "model_type": "layoutlm",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.44.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}