Implementation of SimCSE for unsupervised approach in Pytorch
This repo has simple code for the implementation of (SimCSE)[https://arxiv.org/abs/2104.08821] for unsupervised approach in Pytorch.
Setup environment
python3 -m virtualenv env
source env/bin/activate
pip install -r requirements.txt
Data
For unsupervised SimCSE, 1 million sentences from English Wikipedia are sampled. You can run data/download_wiki.sh to download the dataset.Pleae ensure that data folder has wiki1m_for_simcse.txt file before procedding further.
source data/download_wiki.sh
Training:
The hyperparamers for model traing and the output directory are set in class Arguments in train.py. Change the variables in the Arguments class for epxerimentation. overwrite flag is set to True by default, so every time the train.py is run, the output directory is overwritten.
To run,
python train.py