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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 [DeBERTa (large)](https://huggingface.co/microsoft/deberta-v3-large). Then, it was fine-tuned on the English corpus for fomality classiication [GYAFC](https://arxiv.org/abs/1803.06535).
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- In our experiments, the model showed the best results within Transformer-based models for the task. More details, code and data can be found [here](https://github.com/s-nlp/paradetox).
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  **Evaluation Results**
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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 [DeBERTa (large)](https://huggingface.co/microsoft/deberta-v3-large). Then, it was fine-tuned on the English corpus for fomality classiication [GYAFC](https://arxiv.org/abs/1803.06535).
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+ In our experiments, the model showed the best results within Transformer-based models for the task. More details, code and data can be found [here](https://github.com/s-nlp/formality).
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  **Evaluation Results**
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