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README.md
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- formality
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licenses:
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- cc-by-nc-sa
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license:
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---
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**Model Overview**
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This is the model presented in the paper "Detecting Text Formality: A Study of Text Classification Approaches".
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The original model is [mDeBERTa (base)](https://huggingface.co/microsoft/mdeberta-v3-base). Then, it was fine-tuned on the multilingual corpus for fomality classiication [X-FORMAL](https://arxiv.org/abs/2104.04108) that consists of 4 languages -- English (from [GYAFC](https://arxiv.org/abs/1803.06535)), French, Italian, and Brazilian Portuguese.
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In our experiments, the model showed the best results within Transformer-based models for the multilingual formality classification task. More details, code and data can be found [here](https://github.com/s-nlp/formality).
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## Licensing Information
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[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]
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[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
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[cc-by-nc-sa-image]: https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png
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- formality
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licenses:
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license: openrail++
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base_model:
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- microsoft/mdeberta-v3-base
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---
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**Model Overview**
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This is the model presented in the paper ["Detecting Text Formality: A Study of Text Classification Approaches"]((https://aclanthology.org/2023.ranlp-1.31/)).
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The original model is [mDeBERTa (base)](https://huggingface.co/microsoft/mdeberta-v3-base). Then, it was fine-tuned on the multilingual corpus for fomality classiication [X-FORMAL](https://arxiv.org/abs/2104.04108) that consists of 4 languages -- English (from [GYAFC](https://arxiv.org/abs/1803.06535)), French, Italian, and Brazilian Portuguese.
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In our experiments, the model showed the best results within Transformer-based models for the multilingual formality classification task. More details, code and data can be found [here](https://github.com/s-nlp/formality).
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## Licensing Information
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This model is licensed under the OpenRAIL++ License, which supports the development of various technologies—both industrial and academic—that serve the public good.
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