Philipp Schmid • 10/18/2022

Outperform OpenAI GPT-3 with SetFit for text-classification

Read Original

This technical tutorial explains how to use SetFit, a few-shot learning method, to build high-accuracy text-classification models with very little labeled data. It details how SetFit outperforms OpenAI GPT-3 on many tasks while being significantly smaller and faster to train, and provides a step-by-step guide on implementation, hyperparameter tuning, and dataset creation using Hugging Face libraries.

0 comments
#Machine Learning #Text Classification #Few Shot Learning
Outperform OpenAI GPT-3 with SetFit for text-classification

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
React, useEffect, and Stale Closures: How to Avoid Them with Dependencies and useRef
Jivbcoop • 4 votes
2
Better react-hook-form Smart Form Components
Maarten Hus • 2 votes
3
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook • 1 votes
4
Quoting Thariq Shihipar
Simon Willison • 1 votes
5
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft • 1 votes
6
Using Browser Apis In React Practical Guide
Jivbcoop • 1 votes