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README.md
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This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on an dataset combining manually labelled tweets into either instructions or spam, and pre-processed instructions from the flan dataset that are less than 250 characters long to be used as positive instructions.
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It achieves the following results on the evaluation set based on the best checkpoint:
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- Loss: 0.
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- Accuracy: 0.9751
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## Model description
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This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on an dataset combining manually labelled tweets into either instructions or spam, and pre-processed instructions from the flan dataset that are less than 250 characters long to be used as positive instructions.
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It achieves the following results on the evaluation set based on the best checkpoint:
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- Loss: 0.1102
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- Accuracy: 0.9751
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## Model description
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