readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - nielsr/funsd-layoutlmv3
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: layoutlmv3-finetuned-funsd
    results:
    - task:
        name: Token Classification
        type: token-classification
      dataset:
        name: nielsr/funsd-layoutlmv3
        type: nielsr/funsd-layoutlmv3
        args: funsd
      metrics:
      - name: Precision
        type: precision
        value: 0.918177	
      - name: Recall
        type: recall
        value: 0.930949
      - name: F1
        type: f1
        value: 0.924519
      - name: Accuracy
        type: accuracy
        value: 0.859979
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # layoutlmv3-finetuned-funsd
  
  This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the nielsr/funsd-layoutlmv3 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.038318	
  - Precision: 0.918177	
  - Recall: 0.930949	
  - F1: 0.924519
  - Accuracy: 0.859979
  
  
  