| license: apache-2.0 | |
| # layoutlmv3-large-finetuned-funsd | |
| The model [layoutlmv3-large-finetuned-funsd](https://huggingface.co/HYPJUDY/layoutlmv3-large-finetuned-funsd) is fine-tuned on the FUNSD dataset initialized from [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlmv3-large). | |
| This finetuned model achieves an F1 score of 92.15 on the test split of the FUNSD dataset. | |
| [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 | |
| Apache license 2.0. | |
| 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) | |