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---
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 + MS-COCO
## Evaluation Results
| STS12 | STS13 | STS14 | STS15 | STS16 | STSBenchmark | SICKRelatedness | Avg. |
|:------:|:------:|:------:|:------:|:------:|:------------:|:---------------:|:------:|
|70.79 | 82.81 | 76.16 | 83.13 | 81.76 | 81.72 | 70.81 | 78.17 |
|