Shypd.aiThe largest open index of AI toolsPET (Pattern-Exploiting Training) is an open-source research tool that reformulates input examples as cloze-style phrases for few-shot text classification and natural language inference. It significantly outperforms regular supervised training in low-resource settings.
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PET (Pattern-Exploiting Training) is an open-source research tool designed for few-shot text classification and natural language inference. It employs a semi-supervised training procedure that reformulates input examples as cloze-style phrases, allowing language models to better understand tasks. The tool, along with its iterative variant iPET, demonstrates significant performance improvements over traditional supervised training and other semi-supervised baselines, even surpassing GPT-3 in some low-resource scenarios while requiring substantially fewer parameters. It supports various training modes including PET, iPET, and supervised training, and offers evaluation methods like unsupervised and priming. Researchers can use PET for 13 different tasks, including SuperGLUE tasks, and can also customize it for their own specific applications by defining DataProcessors and PVPs (Pattern-Verbalizer Pairs).
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