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KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning

This repository contains code and pre-trained models for our NAACL-2024 paper KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning.

Quickstart

Setup

pip install -r requirements.txt

Data Preparation

Please organize the data directory as following:

REPO ROOT
|
|--data    
|  |--wiki1m_for_simcse.txt  
|  |--flickr30k_ViT_L14.json
|  |--train_coco_ViT_L14.json

Wiki1M

wget https://huggingface.co/datasets/princeton-nlp/datasets-for-simcse/resolve/main/wiki1m_for_simcse.txt

Flickr30k & MS-COCO
Download the preprocessed data:

Or preprocess the data by yourself (using raw images from Flickr and COCO with CLIP).

Train & Evaluation

  1. Prepare the senteval datasets for evaluation:

    cd SentEval/data/downstream/
bash download_dataset.sh

  2. Run scripts:

    # For example:
sh scripts/run_wiki_flickr.sh

sh scripts/run_wiki_coco.sh

Acknowledgements