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results: []
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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#
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It achieves the following results on the evaluation set:
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- Loss: 0.0123
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- Precision: 0.9859
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- F1: 0.9845
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- Accuracy: 0.9412
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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results: []
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# Polyglot Tagger: Multi-label Language Identification
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Refer to `polyglot-tagger/language-identification`. It is trained on the same dataset as a text-classifier rather than as a token classifier.
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base).
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It achieves the following results on the evaluation set:
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- Loss: 0.0123
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- Precision: 0.9859
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- F1: 0.9845
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- Accuracy: 0.9412
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## Training procedure
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