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ReactionT5v1-forward

Text2Text Generation

text-generation-inference

Inference Endpoints

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sagawa commited on Jul 28

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@@ -74,7 +74,7 @@ python train.py \
 | Molecular Transformer| USPTO                     | USPTO    | 88.8           | 92.6           | –              | 94.4           |
 | T5Chem               | USPTO                     | USPTO    | 90.4           | 94.2           | –              | 96.4           |
 | CompoundT5           | USPTO                     | USPTO    | 88.0           | 92.4           | 93.9           | 95.0           |
-| ReactionT5           | ORD                       | USPTO    | 0.0 <85.0>     | 0.0 <90.6>     | 0.0 <92.3>     | 0.0 <93.8>     |
 Performance comparison of Compound T5, ReactionT5, and other models in product prediction. The values enclosed in ‘<>’ in the table represent the scores of the model that was fine-tuned on 200 reactions from the USPTO dataset. The score enclosed in ‘()’ is the one reported in the original paper.

 | Molecular Transformer| USPTO                     | USPTO    | 88.8           | 92.6           | –              | 94.4           |
 | T5Chem               | USPTO                     | USPTO    | 90.4           | 94.2           | –              | 96.4           |
 | CompoundT5           | USPTO                     | USPTO    | 88.0           | 92.4           | 93.9           | 95.0           |
+| ReactionT5           | -                       | USPTO    | 0.0 <85.0>     | 0.0 <90.6>     | 0.0 <92.3>     | 0.0 <93.8>     |
 Performance comparison of Compound T5, ReactionT5, and other models in product prediction. The values enclosed in ‘<>’ in the table represent the scores of the model that was fine-tuned on 200 reactions from the USPTO dataset. The score enclosed in ‘()’ is the one reported in the original paper.