config.json

{
  "_name_or_path": "microsoft/layoutlmv2-base-uncased",
  "architectures": [
    "LayoutLMv2ForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "convert_sync_batchnorm": true,
  "coordinate_size": 128,
  "detectron2_config_args": {
    "MODEL.ANCHOR_GENERATOR.SIZES": [
      [
        32
      ],
      [
        64
      ],
      [
        128
      ],
      [
        256
      ],
      [
        512
      ]
    ],
    "MODEL.BACKBONE.NAME": "build_resnet_fpn_backbone",
    "MODEL.FPN.IN_FEATURES": [
      "res2",
      "res3",
      "res4",
      "res5"
    ],
    "MODEL.MASK_ON": true,
    "MODEL.PIXEL_STD": [
      57.375,
      57.12,
      58.395
    ],
    "MODEL.POST_NMS_TOPK_TEST": 1000,
    "MODEL.RESNETS.ASPECT_RATIOS": [
      [
        0.5,
        1.0,
        2.0
      ]
    ],
    "MODEL.RESNETS.DEPTH": 101,
    "MODEL.RESNETS.NUM_GROUPS": 32,
    "MODEL.RESNETS.OUT_FEATURES": [
      "res2",
      "res3",
      "res4",
      "res5"
    ],
    "MODEL.RESNETS.SIZES": [
      [
        32
      ],
      [
        64
      ],
      [
        128
      ],
      [
        256
      ],
      [
        512
      ]
    ],
    "MODEL.RESNETS.STRIDE_IN_1X1": false,
    "MODEL.RESNETS.WIDTH_PER_GROUP": 8,
    "MODEL.ROI_BOX_HEAD.NAME": "FastRCNNConvFCHead",
    "MODEL.ROI_BOX_HEAD.NUM_FC": 2,
    "MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION": 14,
    "MODEL.ROI_HEADS.IN_FEATURES": [
      "p2",
      "p3",
      "p4",
      "p5"
    ],
    "MODEL.ROI_HEADS.NAME": "StandardROIHeads",
    "MODEL.ROI_HEADS.NUM_CLASSES": 5,
    "MODEL.ROI_MASK_HEAD.NAME": "MaskRCNNConvUpsampleHead",
    "MODEL.ROI_MASK_HEAD.NUM_CONV": 4,
    "MODEL.ROI_MASK_HEAD.POOLER_RESOLUTION": 7,
    "MODEL.RPN.IN_FEATURES": [
      "p2",
      "p3",
      "p4",
      "p5",
      "p6"
    ],
    "MODEL.RPN.POST_NMS_TOPK_TRAIN": 1000,
    "MODEL.RPN.PRE_NMS_TOPK_TEST": 1000,
    "MODEL.RPN.PRE_NMS_TOPK_TRAIN": 2000
  },
  "fast_qkv": true,
  "gradient_checkpointing": false,
  "has_relative_attention_bias": true,
  "has_spatial_attention_bias": true,
  "has_visual_segment_embedding": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "E-PURCHASE_TIME",
    "1": "B-SUB_TOTAL",
    "2": "I-SUPPLIER_NAME",
    "3": "S-SUB_TOTAL",
    "4": "O",
    "5": "E-SUB_TOTAL",
    "6": "S-SUPPLIER_NAME",
    "7": "B-PURCHASE_TIME",
    "8": "I-RECEIPT_DATE",
    "9": "E-RECEIPT_DATE",
    "10": "I-TOTAL",
    "11": "S-TOTAL",
    "12": "S-TIP_AMOUNT",
    "13": "I-PURCHASE_TIME",
    "14": "B-RECEIPT_DATE",
    "15": "S-RECEIPT_DATE",
    "16": "E-TOTAL",
    "17": "B-SUPPLIER_NAME",
    "18": "I-SUB_TOTAL",
    "19": "B-SUPPLIER_ADDRESS",
    "20": "I-SUPPLIER_ADDRESS",
    "21": "S-PURCHASE_TIME",
    "22": "S-SUPPLIER_ADDRESS",
    "23": "S-TOTAL_TAX_AMOUNT",
    "24": "B-TOTAL",
    "25": "E-SUPPLIER_ADDRESS",
    "26": "E-SUPPLIER_NAME"
  },
  "image_feature_pool_shape": [
    7,
    7,
    256
  ],
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-PURCHASE_TIME": 7,
    "B-RECEIPT_DATE": 14,
    "B-SUB_TOTAL": 1,
    "B-SUPPLIER_ADDRESS": 19,
    "B-SUPPLIER_NAME": 17,
    "B-TOTAL": 24,
    "E-PURCHASE_TIME": 0,
    "E-RECEIPT_DATE": 9,
    "E-SUB_TOTAL": 5,
    "E-SUPPLIER_ADDRESS": 25,
    "E-SUPPLIER_NAME": 26,
    "E-TOTAL": 16,
    "I-PURCHASE_TIME": 13,
    "I-RECEIPT_DATE": 8,
    "I-SUB_TOTAL": 18,
    "I-SUPPLIER_ADDRESS": 20,
    "I-SUPPLIER_NAME": 2,
    "I-TOTAL": 10,
    "O": 4,
    "S-PURCHASE_TIME": 21,
    "S-RECEIPT_DATE": 15,
    "S-SUB_TOTAL": 3,
    "S-SUPPLIER_ADDRESS": 22,
    "S-SUPPLIER_NAME": 6,
    "S-TIP_AMOUNT": 12,
    "S-TOTAL": 11,
    "S-TOTAL_TAX_AMOUNT": 23
  },
  "layer_norm_eps": 1e-12,
  "max_2d_position_embeddings": 1024,
  "max_position_embeddings": 512,
  "max_rel_2d_pos": 256,
  "max_rel_pos": 128,
  "model_type": "layoutlmv2",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 0,
  "rel_2d_pos_bins": 64,
  "rel_pos_bins": 32,
  "shape_size": 128,
  "torch_dtype": "float32",
  "transformers_version": "4.25.0.dev0",
  "type_vocab_size": 2,
  "vocab_size": 30522
}