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  - formal or informal classification
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  licenses:
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  - cc-by-nc-sa
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- license: cc-by-nc-sa-4.0
 
 
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  ---
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- XLMRoberta-based classifier trained on XFORMAL.
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- all
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  | | precision | recall | f1-score | support |
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  |--------------|-----------|----------|----------|---------|
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  | macro avg | 0.785587 | 0.753933 | 0.753081 | 40960 |
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  | weighted avg | 0.781743 | 0.762646 | 0.755826 | 40960 |
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  ## How to use
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  ```python
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  from transformers import XLMRobertaTokenizerFast, XLMRobertaForSequenceClassification
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  ## Licensing Information
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- [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].
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-
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- [![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]
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-
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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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  - formal or informal classification
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  licenses:
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  - cc-by-nc-sa
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+ license: openrail++
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+ base_model:
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+ - FacebookAI/xlm-roberta-base
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  ---
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+ XLM-Roberta-based classifier trained on [XFORMAL](https://aclanthology.org/2021.naacl-main.256.bib) -- a multilingual formality classification dataset.
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+ all languages
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  | | precision | recall | f1-score | support |
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  |--------------|-----------|----------|----------|---------|
 
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  | macro avg | 0.785587 | 0.753933 | 0.753081 | 40960 |
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  | weighted avg | 0.781743 | 0.762646 | 0.755826 | 40960 |
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+
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  ## How to use
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  ```python
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  from transformers import XLMRobertaTokenizerFast, XLMRobertaForSequenceClassification
 
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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.