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This is an instance of [xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) that was fine-tuned on binary toxicity classification task based on our updated (2025) dataset [textdetox/multilingual_toxicity_dataset](https://huggingface.co/datasets/textdetox/multilingual_toxicity_dataset).
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Now, the models covers 15 languages from various language families:
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* English (en)
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* Russian (ru)
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* Ukrainian (uk)
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* German (de)
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* Spanish (es)
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* Arabic (ar)
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* Amharic (am)
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* Hindi (hi)
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* Chinese (zh)
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* Italian (it)
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* French (fr)
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* Hinglish (hin)
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* Hebrew (he)
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* Japanese (ja)
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* Tatar (tt)
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The evaluation results on the test set are the following:
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| en | 0.9650|
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| ru | 0.9790|
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| uk | 0.9251|
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| de | 0.8758|
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| es | 0.8700|
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| ar | 0.7780|
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| am | 0.7780|
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| hi | 0.9360|
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| zh | 0.7315|
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| it | |
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| fr | |
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| hin | |
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| he | |
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| ja | |
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| tt | |
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## Citation
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This is an instance of [xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) that was fine-tuned on binary toxicity classification task based on our updated (2025) dataset [textdetox/multilingual_toxicity_dataset](https://huggingface.co/datasets/textdetox/multilingual_toxicity_dataset).
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Now, the models covers 15 languages from various language families:
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* English (en); F1:
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* Russian (ru); F1:
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* Ukrainian (uk); F1:
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* German (de); F1:
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* Spanish (es); F1:
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* Arabic (ar); F1:
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* Amharic (am); F1:
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* Hindi (hi); F1:
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* Chinese (zh); F1:
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* Italian (it); F1:
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* French (fr); F1:
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* Hinglish (hin); F1:
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* Hebrew (he); F1:
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* Japanese (ja); F1:
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* Tatar (tt); F1:
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## Citation
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