---
library_name: transformers
license: mit
language:
- en
metrics:
- spearmanr
---

# MCSE: Multimodal Contrastive Learning of Sentence Embeddings (NAACL 2022)

Paper link: https://aclanthology.org/2022.naacl-main.436/  
Github: https://github.com/uds-lsv/MCSE  
Author list: Miaoran Zhang, Marius Mosbach, David Adelani, Michael Hedderich, Dietrich Klakow

## Model Details
- base model: [roberta-base](https://huggingface.co/FacebookAI/roberta-base)
- training data: Wiki1M + Flicker30k

## Evaluation Results
|  STS12 |  STS13 |  STS14 |  STS15 |  STS16 | STSBenchmark | SICKRelatedness |  Avg.  |
|:------:|:------:|:------:|:------:|:------:|:------------:|:---------------:|:------:|
| 71.74  | 82.60  | 75.67  | 84.49  | 80.74  |    81.52     |      72.30      | 78.44  |