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ZhengxiangShi
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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