# layoutlmv3-base-finetuned-funsd

The model [layoutlmv3-base-finetuned-funsd](https://huggingface.co/HYPJUDY/layoutlmv3-base-finetuned-funsd) is fine-tuned on the FUNSD dataset initialized from [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base).
This finetuned model achieves an F1 score of 90.59 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

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)

{"license": "cc-by-nc-sa-4.0"}
transformers pytorch tensorboard layoutlmv3 token-classification arxiv:2204.08387 license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tensorboard #layoutlmv3 #token-classification #arxiv-2204.08387 #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

# layoutlmv3-base-finetuned-funsd

The model layoutlmv3-base-finetuned-funsd is fine-tuned on the FUNSD dataset initialized from microsoft/layoutlmv3-base.
This finetuned model achieves an F1 score of 90.59 on the test split of the FUNSD dataset.

Paper | Code | Microsoft Document AI


If you find LayoutLMv3 helpful, please cite the following paper:


## License

The content of this project itself is licensed under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Portions of the source code are based on the transformers project.
Microsoft Open Source Code of Conduct

# layoutlmv3-base-finetuned-funsd

The model layoutlmv3-base-finetuned-funsd is fine-tuned on the FUNSD dataset initialized from microsoft/layoutlmv3-base.
This finetuned model achieves an F1 score of 90.59 on the test split of the FUNSD dataset.

Paper | Code | Microsoft Document AI


If you find LayoutLMv3 helpful, please cite the following paper: ## License

The content of this project itself is licensed under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Portions of the source code are based on the transformers project.
Microsoft Open Source Code of Conduct
TAGS
#transformers #pytorch #tensorboard #layoutlmv3 #token-classification #arxiv-2204.08387 #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # layoutlmv3-base-finetuned-funsd

The model layoutlmv3-base-finetuned-funsd is fine-tuned on the FUNSD dataset initialized from microsoft/layoutlmv3-base.
This finetuned model achieves an F1 score of 90.59 on the test split of the FUNSD dataset.

Paper | Code | Microsoft Document AI


If you find LayoutLMv3 helpful, please cite the following paper: ## License

The content of this project itself is licensed under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Portions of the source code are based on the transformers project.
Microsoft Open Source Code of Conduct
passage: TAGS
#transformers #pytorch #tensorboard #layoutlmv3 #token-classification #arxiv-2204.08387 #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
# layoutlmv3-base-finetuned-funsd

The model layoutlmv3-base-finetuned-funsd is fine-tuned on the FUNSD dataset initialized from microsoft/layoutlmv3-base.
This finetuned model achieves an F1 score of 90.59 on the test split of the FUNSD dataset.

Paper | Code | Microsoft Document AI


If you find LayoutLMv3 helpful, please cite the following paper:## License

The content of this project itself is licensed under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Portions of the source code are based on the transformers project.
Microsoft Open Source Code of Conduct