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ReactionT5v2-retrosynthesis

Text2Text Generation

text-generation-inference

Inference Endpoints

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sagawa commited on Aug 17

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@@ -83,8 +83,8 @@ python train_without_duplicates.py \
 | SCROP                | USPTO_50k                 | USPTO_50k    | 43.7           | -          | 60.0           | 65.2           |
 | T5Chem               | USPTO_50k                 | USPTO_50k    | 46.5           | -           | 64.4              | 70.5           |
 | CompoundT5           | USPTO_50k                 | USPTO_50k    | 44,2           | 55.2           | 61.4           | 67.3           |
-| ReactionT5 (This model) | -                       | USPTO_50k    | 13.8     | 18.6     | 21.4     | 26.2     |
-| ReactionT5           | USPTO_50k                       | USPTO_50k    | 71.2     | 81.4     | 84.9     | 88.2     |
 Performance comparison of Compound T5, ReactionT5, and other models in product prediction.

 | SCROP                | USPTO_50k                 | USPTO_50k    | 43.7           | -          | 60.0           | 65.2           |
 | T5Chem               | USPTO_50k                 | USPTO_50k    | 46.5           | -           | 64.4              | 70.5           |
 | CompoundT5           | USPTO_50k                 | USPTO_50k    | 44,2           | 55.2           | 61.4           | 67.3           |
+| [ReactionT5 (This model)](https://huggingface.co/sagawa/ReactionT5v2-retrosynthesis) | -                       | USPTO_50k    | 13.8     | 18.6     | 21.4     | 26.2     |
+| [ReactionT5](https://huggingface.co/sagawa/ReactionT5v2-retrosynthesis-USPTO_50k)           | USPTO_50k                       | USPTO_50k    | 71.2     | 81.4     | 84.9     | 88.2     |
 Performance comparison of Compound T5, ReactionT5, and other models in product prediction.