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  ### Results
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  ## Citation [optional]
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  ### Results
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+ | Model | Training set | Test set | Top-1 [% acc.] | Top-2 [% acc.] | Top-3 [% acc.] | Top-5 [% acc.] |
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+ |----------------------|---------------------------|----------|----------------|----------------|----------------|----------------|
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+ | Sequence-to-sequence | USPTO | USPTO | 80.3 | 84.7 | 86.2 | 87.5 |
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+ | WLDN | USPTO | USPTO | 80.6 (85.6) | 90.5 | 92.8 | 93.4 |
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+ | Molecular Transformer| USPTO | USPTO | 88.8 | 92.6 | – | 94.4 |
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+ | T5Chem | USPTO | USPTO | 90.4 | 94.2 | – | 96.4 |
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+ | CompoundT5 | USPTO | USPTO | 88.0 | 92.4 | 93.9 | 95.0 |
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+ | ReactionT5 | ORD | USPTO | 0.0 <85.0> | 0.0 <90.6> | 0.0 <92.3> | 0.0 <93.8> |
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+ Performance comparison of Compound T5, ReactionT5, and other models in product prediction. The values enclosed in β€˜<>’ in the table represent the scores of the model that was fine-tuned on 200 reactions from the USPTO dataset. The score enclosed in β€˜()’ is the one reported in the original paper.
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  ## Citation [optional]
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