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THUDM/P-tuning-v2 - GitHub Explorer | GitHub Explorer | Trending | Compare

P-tuning-v2

THUDM•PUBLIC

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

natural-language-processingp-tuningparameter-efficient-learningpretrained-language-modelprompt-tuning

Apache License 2.0

Created on Oct 14, 2021

Updated on Apr 1, 2026

Stars

2.1k

Forks

208

Watchers

2.1k

Open Issues

35

Repository Health Score

💛

74/100

Good

Overall repository health assessment

Score Breakdown

Activity

Active development - updated this week

30/30

100%

Community

2,074 stars, 208 forks

4/30

13%

Documentation

Has description, wiki, license

20/20

100%

Maintenance

1.7% issue ratio

20/20

100%

Health score is calculated based on activity, community engagement, documentation quality, and maintenance practices

Languages

Python

96.7%

Shell

3.3%

Issues Analytics

78

Total Issues

All time

34

Open

44% of total

44

Closed

56% of total

1w

Avg Close Time

Avg response

Issues Activity: Last 6 months

Hottest Issues

1

#22 Results of Multi-task Learning.

7

closed

2

#41 Questions about deep prompt per layer

6

closed

3

#36 DeBERTa P-Tuning v2 speed

6

closed

4

#24 有谁跑通过这代码吗？

6

closed

5

#18 sequence_classification.py

6

closed

Dependencies

No package.json found

This might not be a Node.js project

Top Contributors

1

Xiao9905

User

32

commits

2

rainatam

User

3

commits

3

sofyc

User

2

commits

Recent Commits

Update README.md

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remove colbert eval script

rainatam•3 years ago

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add batch evaluation scripts for oagqa

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update figures

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update figures

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Update the README

rainatam•3 years ago

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