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. Author manuscript; available in PMC: 2023 Mar 28.
Published in final edited form as: J Chem Inf Model. 2022 Mar 10;62(6):1376–1387. doi: 10.1021/acs.jcim.1c01467

Table 7:

Multi-task testing results with T5Chem on USPTO_500_MT. The five tasks are grouped into two subgroups. The first subgroup includes forward reaction prediction, single-step retrosynthesis and reagents prediction, as they are all sequence-to-sequence tasks and can share the same model architecture. The second subgroup consists of reaction classification and reaction yield prediction. Both tasks take the whole reaction sequence as inputs, and can be trained at the same time by combining their loss functions together. Only one model was trained per group with the mixed dataset.

Task Type Forward Retrosynthesis Reagents Classification Yield
Metrics Top-1 Accuracy Top-1 Accuracy Top-1 Accuracy Accuracy R
Results 97.5% 72.9% 24.9% 99.4% 0.46