Text Classification
Transformers
Safetensors
xlm-roberta
Inference Endpoints
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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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-
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- The evaluation results on the test set are the following:
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-
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- | | F1 |
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- |----------|-------|
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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