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Official Implementation for ACL 2022 Paper "LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration Memory"

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JudePark96/LM-BFF-MS

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LM-BFF-MS

Official Implementation for ACL 2022 Paper "LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration Memory"

This code is reimplemented as a fork of LM-BFF.

Requirements

To run our code, please install all the dependency packages by using the following command:

pip3 install -r requirements.txt

Note that we support only PyTorch.

Running

python3 trainer.py configs/sst2/16-13-sst2-conti-demon-prompting.json

Contact

Do not hesitate to ask a question. Send me your question below email!

Eunhwan Park (judepark@jbnu.ac.kr)

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Official Implementation for ACL 2022 Paper "LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration Memory"

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