SetFit: Efficient Few-Shot Learning Without Prompts
📰 Hugging Face Blog
SetFit enables efficient few-shot learning without prompts, outperforming standard fine-tuning in sample efficiency and robustness to noise
Action Steps
- Understand the concept of few-shot learning and its challenges
- Explore the SetFit approach and its advantages over standard fine-tuning
- Evaluate the performance of SetFit using benchmarking tools and datasets
- Train and fine-tune models using SetFit for specific use cases
Who Needs to Know This
Machine learning engineers and researchers can benefit from SetFit to improve the performance of their models with limited training data, while product managers can leverage this technology to develop more efficient AI-powered products
Key Insight
💡 SetFit achieves significant improvements in sample efficiency and robustness to noise compared to standard fine-tuning
Share This
🚀 SetFit revolutionizes few-shot learning without prompts! 💡
Key Takeaways
SetFit enables efficient few-shot learning without prompts, outperforming standard fine-tuning in sample efficiency and robustness to noise
Full Article
Published Time: 2022-09-26T00:00:00.129Z
# SetFit: Efficient Few-Shot Learning Without Prompts
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# [](https://huggingface.co/blog/setfit#setfit-efficient-few-shot-learning-without-prompts) SetFit: Efficient Few-Shot Learning Without Prompts
Published September 26, 2022
[Update on GitHub](https://github.com/huggingface/blog/blob/main/setfit.md)
[- [x] Upvote 40](https://huggingface.co/login?next=%2Fblog%2Fsetfit)
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* +34
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[Unso Eun Seo Jo Unso Follow](https://huggingface.co/Unso)
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[Lewis Tunstall lewtun Follow](https://huggingface.co/lewtun)
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[Luke Bates luketheduke Follow](https://huggingface.co/luketheduke)
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[Daniel Korat danielkorat Follow](https://huggingface.co/danielkorat)
[](https://huggingface.co/orenpereg)
[Oren Pereg orenpereg Follow](https://huggingface.co/orenpereg)
[](https://huggingface.co/moshew)
[Moshe Wasserblat moshew Follow](https://huggingface.co/moshew)
_SetFit is significantly more sample efficient and robust to noise than standard fine-tuning._
* [How does it work?](https://huggingface.co/blog/setfit#how-does-it-work "How does it work?")
* [Benchmarking SetFit](https://huggingface.co/blog/setfit#benchmarking-setfit "Benchmarking SetFit")
* [Fast training and inference](https://huggingface.co/blog/setfit#fast-training-and-inference "Fast training and inference")
* [Training your own model](https://huggingface.co/blog/setfit#training-your-own-model "Training your own model")
* [Next
# SetFit: Efficient Few-Shot Learning Without Prompts
[Hugging Face](https://huggingface.co/)
* [Models](https://huggingface.co/models)
* [Datasets](https://huggingface.co/datasets)
* [Spaces](https://huggingface.co/spaces)
* [Buckets new](https://huggingface.co/storage)
* [Docs](https://huggingface.co/docs)
* [Enterprise](https://huggingface.co/enterprise)
* [Pricing](https://huggingface.co/pricing)
*
*
* * *
* [Log In](https://huggingface.co/login)
* [Sign Up](https://huggingface.co/join)
[Back to Articles](https://huggingface.co/blog)
# [](https://huggingface.co/blog/setfit#setfit-efficient-few-shot-learning-without-prompts) SetFit: Efficient Few-Shot Learning Without Prompts
Published September 26, 2022
[Update on GitHub](https://github.com/huggingface/blog/blob/main/setfit.md)
[- [x] Upvote 40](https://huggingface.co/login?next=%2Fblog%2Fsetfit)
* [](https://huggingface.co/danielkorat "danielkorat")
* [](https://huggingface.co/orenpereg "orenpereg")
* [](https://huggingface.co/taners "taners")
* [](https://huggingface.co/Ivanrs "Ivanrs")
* [](https://huggingface.co/bethrezen "bethrezen")
* [](https://huggingface.co/pkghf "pkghf")
* +34
[](https://huggingface.co/Unso)
[Unso Eun Seo Jo Unso Follow](https://huggingface.co/Unso)
[](https://huggingface.co/lewtun)
[Lewis Tunstall lewtun Follow](https://huggingface.co/lewtun)
[](https://huggingface.co/luketheduke)
[Luke Bates luketheduke Follow](https://huggingface.co/luketheduke)
[](https://huggingface.co/danielkorat)
[Daniel Korat danielkorat Follow](https://huggingface.co/danielkorat)
[](https://huggingface.co/orenpereg)
[Oren Pereg orenpereg Follow](https://huggingface.co/orenpereg)
[](https://huggingface.co/moshew)
[Moshe Wasserblat moshew Follow](https://huggingface.co/moshew)
_SetFit is significantly more sample efficient and robust to noise than standard fine-tuning._
* [How does it work?](https://huggingface.co/blog/setfit#how-does-it-work "How does it work?")
* [Benchmarking SetFit](https://huggingface.co/blog/setfit#benchmarking-setfit "Benchmarking SetFit")
* [Fast training and inference](https://huggingface.co/blog/setfit#fast-training-and-inference "Fast training and inference")
* [Training your own model](https://huggingface.co/blog/setfit#training-your-own-model "Training your own model")
* [Next
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