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--- |
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license: apache-2.0 |
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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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for 3 epochs with a batch size of 8, |
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a maximum sequence length of 512, and an initial learning rate of 3e-05. |
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Since this was a classification task, the model was trained with a cross-entropy loss function. |
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The best score the model achieved on this task was 0.9713333333333334, 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). |
