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SMILES2IUPAC-canonical-small

Text2Text Generation
Transformers
Safetensors
mt5
chemistry
biology
medical
smiles
iupac
text-generation-inference
Inference Endpoints
Model card Files Community
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@@ -111,8 +111,8 @@ The model was trained on 100M examples of SMILES-IUPAC pairs with lr=0.0003, bat
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  | Model | Accuracy | Average BLEU-4 score | Size(MB) |
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  |-------------------------------------|---------|----------------------|----------|
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- | SMILES2IUPAC-canonical-small |0.75| 0.93 | 23 |
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- | SMILES2IUPAC-canonical-base ||||
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  | STOUT V2.0\* | 66.65% | 0.92 | 128 |
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  | STOUT V2.0 (according to our tests) | | 0.89 | 128 |
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  *According to the original paper https://jcheminf.biomedcentral.com/articles/10.1186/s13321-021-00512-4
 
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  | Model | Accuracy | Average BLEU-4 score | Size(MB) |
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  |-------------------------------------|---------|----------------------|----------|
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+ | SMILES2IUPAC-canonical-small |75%| 0.93 | 23 |
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+ | SMILES2IUPAC-canonical-base |86.9%|0.964|180|
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  | STOUT V2.0\* | 66.65% | 0.92 | 128 |
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  | STOUT V2.0 (according to our tests) | | 0.89 | 128 |
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  *According to the original paper https://jcheminf.biomedcentral.com/articles/10.1186/s13321-021-00512-4