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# xlm-roberta-base-finetuned-panx-de-fr
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.1616
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- F1: 0.8590
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# xlm-roberta-base-finetuned-panx-de-fr
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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: 0.1616
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- F1: 0.8590
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