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layoutlmv3-base-chinese
microsoft/layoutlmv3-base-chinese
layoutlmv3-base-chinese is a machine learning model from microsoft. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.
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At a glance
- Library
- transformers
- License
- cc-by-nc-sa-4.0
- Model type
- layoutlmv3
- Access
- Public
- Created
- Jun 16, 2022
- Updated
- Sep 16, 2022
- SHA
- 9300ed6a
Model card
From the Hugging Face model README
LayoutLMv3
Microsoft Document AI | GitHub
Model description
LayoutLMv3 is a pre-trained multimodal Transformer for Document AI with unified text and image masking. The simple unified architecture and training objectives make LayoutLMv3 a general-purpose pre-trained model. For example, LayoutLMv3 can be fine-tuned for both text-centric tasks, including form understanding, receipt understanding, and document visual question answering, and image-centric tasks such as document image classification and document layout analysis.
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking Yupan Huang, Tengchao Lv, Lei Cui, Yutong Lu, Furu Wei, Preprint 2022.
Results
| Dataset | Language | Precision | Recall | F1 |
|---|---|---|---|---|
| XFUND | ZH | 0.8980 | 0.9435 | 0.9202 |
| Dataset | Subject | Test Time | Name | School | Examination Number | Seat Number | Class | Student Number | Grade | Score | Mean |
|---|---|---|---|---|---|---|---|---|---|---|---|
| EPHOIE | 98.99 | 100.0 | 99.77 | 99.2 | 100.0 | 100.0 | 98.82 | 99.78 | 98.31 | 97.27 | 99.21 |
Citation
If you find LayoutLM useful in your research, 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). Portions of the source code are based on the transformers project. Microsoft Open Source Code of Conduct
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Languages
- zh
- Created
- Jun 16, 2022
- Updated
- Sep 16, 2022