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## TextAttack Model
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This `albert-base-v2` model was fine-tuned for sequence classification using TextAttack
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and the glue dataset loaded using the `nlp` library. The model was fine-tuned
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for 5 epochs with a batch size of 32, a learning
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rate of 3e-05, and a maximum sequence length of 128.
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## TextAttack Model CardThis `albert-base-v2` model was fine-tuned for sequence classification using TextAttack
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and the glue dataset loaded using the `nlp` library. The model was fine-tuned
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for 5 epochs with a batch size of 32, a learning
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| 4 |
rate of 3e-05, and a maximum sequence length of 128.
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