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# distilbert-spamEmail
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This model is a fine-tuned version of [tony4194/ditilbert-spamEmail](https://huggingface.co/tony4194/ditilbert-spamEmail) on an
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It achieves the following results on the evaluation set:
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- Loss: 0.0621
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- Accuracy: 0.9925
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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# distilbert-spamEmail
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This model is a second fine-tuned version of [tony4194/ditilbert-spamEmail](https://huggingface.co/tony4194/ditilbert-spamEmail) on an [SetFit/enron_spam](https://huggingface.co/datasets/SetFit/enron_spam) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0621
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- Accuracy: 0.9925
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## Model description
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To detect spam messages.
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## Intended uses & limitations
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Maximum paragraph or chunk_text is 512.
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## Training and evaluation data
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