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layoutxlm-finetuned-xfund-de

Token Classification
Transformers
PyTorch
TensorBoard
layoutlmv2
Generated from Trainer
Inference Endpoints
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layoutxlm-finetuned-xfund-de
File size: 3,152 Bytes 
09071ba
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "microsoft/layoutxlm-base",
  "architectures": [
    "LayoutLMv2ForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "convert_sync_batchnorm": true,
  "coordinate_size": 128,
  "detectron2_config_args": {
    "MODEL.ANCHOR_GENERATOR.SIZES": [
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    ],
    "MODEL.BACKBONE.NAME": "build_resnet_fpn_backbone",
    "MODEL.FPN.IN_FEATURES": [
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    "MODEL.MASK_ON": true,
    "MODEL.PIXEL_STD": [
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    ],
    "MODEL.POST_NMS_TOPK_TEST": 1000,
    "MODEL.RESNETS.ASPECT_RATIOS": [
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    "MODEL.RESNETS.DEPTH": 101,
    "MODEL.RESNETS.NUM_GROUPS": 32,
    "MODEL.RESNETS.OUT_FEATURES": [
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    "MODEL.RESNETS.SIZES": [
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    "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": [
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      "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,
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    "MODEL.RPN.IN_FEATURES": [
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      "p6"
    ],
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    "MODEL.RPN.PRE_NMS_TOPK_TEST": 1000,
    "MODEL.RPN.PRE_NMS_TOPK_TRAIN": 2000
  },
  "eos_token_id": 2,
  "fast_qkv": false,
  "gradient_checkpointing": false,
  "has_relative_attention_bias": false,
  "has_spatial_attention_bias": false,
  "has_visual_segment_embedding": true,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-QUESTION",
    "2": "B-ANSWER",
    "3": "B-HEADER",
    "4": "I-ANSWER",
    "5": "I-QUESTION",
    "6": "I-HEADER"
  },
  "image_feature_pool_shape": [
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  "intermediate_size": 3072,
  "label2id": {
    "B-ANSWER": 2,
    "B-HEADER": 3,
    "B-QUESTION": 1,
    "I-ANSWER": 4,
    "I-HEADER": 6,
    "I-QUESTION": 5,
    "O": 0
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  "layer_norm_eps": 1e-05,
  "max_2d_position_embeddings": 1024,
  "max_position_embeddings": 514,
  "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": 1,
  "rel_2d_pos_bins": 64,
  "rel_pos_bins": 32,
  "shape_size": 128,
  "tokenizer_class": "LayoutXLMTokenizer",
  "torch_dtype": "float32",
  "transformers_version": "4.24.0",
  "type_vocab_size": 1,
  "vocab_size": 250002
}