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itspt's Introduction

This is the repository for the "Iterative Soft Prompt-tuning for Unsupervised Domain Adaptation".

You should install OpenPrompt https://github.com/thunlp/OpenPrompt

First, Predict initial pseudo-label for the target domain from source domain data.

Second, Adjust initial target domain data pseudo-label, divide target domain data and iterative training model.

Then, Adjust all target domain data pseudo-label and voted invariant label.

Final, Average the experimental results three times.

Note that the file paths should be changed according to the running environment.

example shell scripts:

  • python fewshot.py --result_file ./output_fewshot.txt --dataset newsgroups1 --template_id 0 --seed 144 --shot 20 --verbalizer manual
  • python adj_data.py
  • python div_data.py
  • python itera_model.py
  • python adj_label.py
  • python voted_label.py
  • python final_test.py

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