Update README.md

README.md

@@ -22,4 +22,27 @@ Introduces contrastive learning alongside multi-task regression, and masked lang
 
 ### Pretraining steps for this model:
 
-- Pretrain BERT model with Masked language modeling with masked proportion set to 15% on Guacamol datasetFore more details please see our [github repository](https://github.com/uds-lsv/enumeration-aware-molecule-transformers).
+- Pretrain BERT model with Masked language modeling with masked proportion set to 15% on Guacamol datasetFore more details please see our [github repository](https://github.com/uds-lsv/enumeration-aware-molecule-transformers).
+
+- ### Virtual Screening Benchmark ([Github Repository](https://github.com/MoleculeTransformers/rdkit-benchmarking-platform-transformers))
+
+original version presented in
+S. Riniker, G. Landrum, J. Cheminf., 5, 26 (2013),
+DOI: 10.1186/1758-2946-5-26,
+URL: http://www.jcheminf.com/content/5/1/26
+
+extended version presented in
+S. Riniker, N. Fechner, G. Landrum, J. Chem. Inf. Model., 53, 2829, (2013),
+DOI: 10.1021/ci400466r,
+URL: http://pubs.acs.org/doi/abs/10.1021/ci400466r
+
+## Model List
+
+Our released models are listed as following. You can import these models by using the `smiles-featurizers` package or using [HuggingFace's Transformers](https://github.com/huggingface/transformers).
+| Model | Type |AUROC| BEDROC|
+|:-------------------------------|:--------:|:--------:|:--------:|
+| [UdS-LSV/smole-bert](https://huggingface.co/UdS-LSV/smole-bert) | `Bert`|0.615 | 0.225 |
+| [UdS-LSV/smole-bert-mtr](https://huggingface.co/UdS-LSV/smole-bert-mtr) | `Bert`|0.621 | 0.262 |
+| [UdS-LSV/smole-bart](https://huggingface.co/UdS-LSV/smole-bart) | `Bart`|0.660 | 0.263 |
+| [UdS-LSV/muv2x-simcse-smole-bart](https://huggingface.co/UdS-LSV/muv2x-simcse-smole-bert) | `Simcse`|0.697 | 0.270 |
+| [UdS-LSV/siamese-smole-bert-muv-1x](https://huggingface.co/UdS-LSV/siamese-smole-bert-muv-1x) | `SentenceTransformer`|0.673 | 0.274 |