Text Classification
Transformers
Safetensors
xlm-roberta
Inference Endpoints
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@@ -29,24 +29,24 @@ base_model:
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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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- The model is prepared for TextDetox 2025 Shared Task evaluation.
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  Citation TBD soon.
 
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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: 0.9225
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+ * Russian (ru); F1: 0.9525
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+ * Ukrainian (uk); F1: 0.96
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+ * German (de); F1: 0.7325
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+ * Spanish (es); F1: 0.7125
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+ * Arabic (ar); F1: 0.6625
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+ * Amharic (am); F1: 0.5575
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+ * Hindi (hi); F1: 0.9725
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+ * Chinese (zh); F1: 0.9175
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+ * Italian (it); F1: 0.5864
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+ * French (fr); F1: 0.9235
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+ * Hinglish (hin); F1: 0.61
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+ * Hebrew (he); F1: 0.8775
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+ * Japanese (ja); F1: 0.8773
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+ * Tatar (tt); F1: 0.5744
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  ## Citation
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+ The model is prepared for [TextDetox 2025 Shared Task](https://pan.webis.de/clef25/pan25-web/text-detoxification.html) evaluation.
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  Citation TBD soon.