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README.md
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## TextAttack Model Card
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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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The best score the model achieved on this task was 0.8970588235294118, as measured by the
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eval set accuracy, found after 4 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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license: apache-2.0
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datasets:
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- openai/webgpt_comparisons
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metrics:
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- bleu
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library_name: flair
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pipeline_tag: zero-shot-image-classification
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tags:
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- chemistry
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- biomedical
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- finance
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- legal
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- science
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- waifu-diffusion
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- music
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---
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## TextAttack Model Card
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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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The best score the model achieved on this task was 0.8970588235294118, as measured by the
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eval set accuracy, found after 4 epochs.
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For more information, check out [TextAttack on Github](https://github.com/QData/TextAttack).
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