IIPL_Code_Template

This project is a Code Template project conducted by Chung-Ang University Intelligent Information Processing Lab. Our goal is to create a code template that can be helpful not only to new students entering our lab but also to everyone who wants to research deep learning.

Dependencies

This code is written in Python. Dependencies include

• Python == 3.8
• PyTorch == 1.10.0
• Transformers (Huggingface) == 4.8.1
• sklearn (Scikit-Learn) == 1.3.0

Usable Data

Neural Machine Translation

• WMT 2014 translation task DE -> EN (Coming soon...)
• WMT 2016 multimodal DE -> EN (Coming soon...)
• Korpora EN -> KR (Coming soon...)

Text Style Transfer

• Grammarly's Yahho Answer Formality Corpus Informal -> Formal (Coming soon...)
• Wiki Neutrality Corpus Biased -> Neutral (Coming soon...)

Summarization

• CNN & Daily Mail News Summarization (Coming soon...)

Classification

• IMDB Sentiment Analysis (--task=classification --data_name=IMDB)
• NSMC Sentiment Analysis (Coming soon...)
• Korean Hate Speech Toxic Classification (Coming soon...)

Training

To train the model, add the training (--training) option. Currently, only the Transformer model is available, but RNN and Pre-trained Language Model will be added in the future.

python run.py --training