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This model is part of the GrammarCorrector tool
https://github.com/akhmat-s/GrammarCorrector

Fine-tuning for the FlanT5 model uses a dataset called [JFLEG](https://arxiv.org/abs/1702.04066). The primary objective of the experiment was to develop a highly effective tool using a minimal dataset.

To accomplish this goal, we implement the key strategy:
- [Perplexity-Based Data](https://arxiv.org/abs/2405.20541) Pruning With Small Reference Models.

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+ ---
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+ datasets:
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+ - jhu-clsp/jfleg
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+ language:
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+ - en
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+ base_model:
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+ - google-t5/t5-base
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+ pipeline_tag: text2text-generation
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+ library_name: transformers
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+ tags:
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+ - text-generation-inference
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+ - grammar
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+ ---