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README.md
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---
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license: mit
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pipeline_tag: fill-mask
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tags:
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- code
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---
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# Zero-shot text classification (base-sized model) trained with self-supervised tuning
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## Model description
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The model is tuned with unlabeled data using a learning objective called first sentence prediction (FSP).
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The FSP task is designed by considering both the nature of the unlabeled corpus and the input/output format of classification tasks.
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The training and validation sets are constructed from the unlabeled corpus using FSP.
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---
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license: mit
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tags:
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- code
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- Zero-Shot Classification
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---
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# Zero-shot text classification (base-sized model) trained with self-supervised tuning
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## Model description
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+
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The model is tuned with unlabeled data using a learning objective called first sentence prediction (FSP).
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The FSP task is designed by considering both the nature of the unlabeled corpus and the input/output format of classification tasks.
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The training and validation sets are constructed from the unlabeled corpus using FSP.
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