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README.md
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@@ -109,62 +109,16 @@ The model was trained on 100M examples of SMILES-IUPAC pairs with lr=0.0003, bat
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## Evaluation
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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**APA:**
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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## Evaluation
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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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## Citation [optional]
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Coming soon.
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## Model Card Authors [optional]
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