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--- |
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license: mit |
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datasets: |
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- SetFit/enron_spam |
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metrics: |
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- accuracy |
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library_name: transformers |
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pipeline_tag: text-classification |
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tags: |
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- email |
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- multilingual |
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--- |
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# XLM-RoBERTa for multilingual spam detection |
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I trained this model to detect spam in german as there is no german labeled spam mail dataset, and I could not find an already pretrained multilingual model for the enron spam dataset. |
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## Intended use |
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Identifying spam mail in any XLM-RoBERTa-supported language. |
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Note that there was no thorough testing on it's intended use - only validation on the enron mail dataset. |
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## Evaluation |
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Eval on test set of enron spam: |
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- loss: 0.0315 |
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- accuracy: 0.996 |
