readme: ---
  license: cc-by-nc-sa-4.0
  ---
  # layoutlmv3-base-finetuned-publaynet
  
  The model [layoutlmv3-base-finetuned-publaynet](https://huggingface.co/HYPJUDY/layoutlmv3-base-finetuned-publaynet) is fine-tuned on the PubLayNet dataset initialized from [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base).
  This finetuned model achieves an overall mAP @ IOU [0.50:0.95] of 95.1 on the PubLayNet validation set.
  
  [Paper](https://arxiv.org/pdf/2204.08387.pdf) | [Code](https://aka.ms/layoutlmv3) | [Microsoft Document AI](https://www.microsoft.com/en-us/research/project/document-ai/)
  
  
  If you find LayoutLMv3 helpful, please cite the following paper:
  ```
  @inproceedings{huang2022layoutlmv3,
    author={Yupan Huang and Tengchao Lv and Lei Cui and Yutong Lu and Furu Wei},
    title={LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking},
    booktitle={Proceedings of the 30th ACM International Conference on Multimedia},
    year={2022}
  }
  ```
  
  
  ## License
  
  The content of this project itself is licensed under the [Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/).
  Portions of the source code are based on the [transformers](https://github.com/huggingface/transformers) project.
  [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct)