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Update README.md
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README.md
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@@ -17,4 +17,11 @@ I trained this model to detect spam in german as there is no german labeled spam
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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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## 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
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