ZhengxiangShi DePT issues - Githubissues

ZhengxiangShi / DePT

[ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"

http://arxiv.org/abs/2309.05173

MIT License

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Source Tasks for Few-Shot Experiments

#12 khalilbalaree opened 3 months ago
0
The problem of decomposing the prompt into the sum of smaller prompts and low-rank products.

#11 GarinLL closed 5 months ago
2
About the hyperparameters of large models

#10 yuchen3890 closed 4 months ago
1
Could you please provide the checkpoints of MRQA datasets?

#9 HungerPWAY closed 7 months ago
6
General question about padding in the setting of soft-prompt tuning

#8 krishnakanthnakkav2 closed 7 months ago
2
About the max_length of SuperGLUE-MultiRC dataset

#7 yuchen3890 closed 7 months ago
2
About the hyperparameters

#6 HungerPWAY closed 8 months ago
4
Some tensors share memory, this will lead to duplicate memory

#4 hoangtrungnguyen1010 closed 10 months ago
3
Runing Time

#3 HungerPWAY closed 10 months ago
2
LLaMA 2 finetuning

#2 Ahmed-Roushdy closed 12 months ago
2
Fix typo in README.md

#1 eltociear closed 1 year ago
1