README.md

---
language:
- en
license: mit
tags:
- chemistry
- SMILES
- retrosynthesis
datasets:
- ORD
metrics:
- accuracy
---
# ⚠️This is an old version of [ReactionT5v2-retrosynthesis](https://huggingface.co/sagawa/ReactionT5v2-retrosynthesis). Prediction accuracy is worse.⚠️


# Model Card for ReactionT5v1-retrosynthesis

This is a ReactionT5 pre-trained to predict the reactants of reactions. 

### Model Sources

<!-- Provide the basic links for the model. -->

- **Repository:** https://github.com/sagawatatsuya/ReactionT5
- **Paper:** https://arxiv.org/abs/2311.06708

## Citation

<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
arxiv link: https://arxiv.org/abs/2311.06708
```
@misc{sagawa2023reactiont5,  
      title={ReactionT5: a large-scale pre-trained model towards application of limited reaction data}, 
      author={Tatsuya Sagawa and Ryosuke Kojima},  
      year={2023},  
      eprint={2311.06708},  
      archivePrefix={arXiv},  
      primaryClass={physics.chem-ph}  
}
```