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## TextAttack Model Card
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This `bert` model was fine-tuned using TextAttack. The model was fine-tuned
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The best score the model achieved on this task was 0.9556666666666667, as measured by the
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eval set accuracy, found after 3 epochs.
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For more information, check out [TextAttack on Github](https://github.com/QData/TextAttack).
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---
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language:
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- zh
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metrics:
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- accuracy
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pipeline_tag: text-classification
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---
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## TextAttack Model Card
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This `bert` model was fine-tuned using TextAttack. The model was fine-tuned
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The best score the model achieved on this task was 0.9556666666666667, as measured by the
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eval set accuracy, found after 3 epochs.
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For more information, check out [TextAttack on Github](https://github.com/QData/TextAttack).
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