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  # xlm-roberta-base-finetuned-panx-it
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- This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2445
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  - F1: 0.8215
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  # xlm-roberta-base-finetuned-panx-it
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+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the PAN-X dataset. The model is trained in Chapter 4: Multilingual Named Entity Recognition in the [NLP with Transformers book](https://learning.oreilly.com/library/view/natural-language-processing/9781098103231/). You can find the full code in the accompanying [Github repository](https://github.com/nlp-with-transformers/notebooks/blob/main/04_multilingual-ner.ipynb).
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2445
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  - F1: 0.8215