P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks

Last update: Dec 30, 2022

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P-tuning v2

P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks

An optimized prompt tuning strategy for smaller models and hard natural language understanding (NLU) tasks (e.g., sequence tagging).

This repo is still under construction (2-4 weeks expected). Your kindly starring our repo could encourage us to work harder :)

Owner

THUDM

Data Mining Research Group at Tsinghua University

GitHub Repository

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P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks

Related tags

Overview

P-tuning v2

Owner

THUDM

ParaGen is a PyTorch deep learning framework for parallel sequence generation

A simple editor for captions in .SRT file extension

Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"

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