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README.md
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model-index:
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- name: fine_tuned_XLMROBERTA_cs_wikann
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results: []
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---
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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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# fine_tuned_XLMROBERTA_cs_wikann
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This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on an
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It achieves the following results on the evaluation set:
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- Loss: 0.1216
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- Overall Precision: 0.8919
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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model-index:
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- name: fine_tuned_XLMROBERTA_cs_wikann
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results: []
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datasets:
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- wikiann
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language:
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- cs
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pipeline_tag: token-classification
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---
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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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# fine_tuned_XLMROBERTA_cs_wikann
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This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on an wikiann dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1216
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- Overall Precision: 0.8919
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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