Hugging Face's logo

sagawa
/
ReactionT5v2-forward

Text2Text Generation
Transformers
Safetensors
English
t5
chemistry
SMILES
product
text-generation-inference
Inference Endpoints
Model card Files Community
sagawa commited on
Commit
b8f8f7e
·
verified ·
1 Parent(s): 223ef97

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -85,7 +85,7 @@ python train_without_duplicates.py \
85
  | Molecular Transformer| USPTO_MIT | USPTO_MIT | 88.8 | 92.6 | – | 94.4 |
86
  | T5Chem | USPTO_MIT | USPTO_MIT | 90.4 | 94.2 | – | 96.4 |
87
  | CompoundT5 | USPTO_MIT | USPTO_MIT | 86.6 | 89.5 | 90.4 | 91.2 |
88
- | ReactionT5 (This model) | ORD | USPTO_MIT | 92.8 | 95.6 | 96.4 | 97.1 |
89
  | ReactionT5 | USPTO_MIT | USPTO_MIT | 97.5 | 98.6 | 98.8 | 99.0 |
90
 
91
  Performance comparison of Compound T5, ReactionT5, and other models in product prediction.
 
85
  | Molecular Transformer| USPTO_MIT | USPTO_MIT | 88.8 | 92.6 | – | 94.4 |
86
  | T5Chem | USPTO_MIT | USPTO_MIT | 90.4 | 94.2 | – | 96.4 |
87
  | CompoundT5 | USPTO_MIT | USPTO_MIT | 86.6 | 89.5 | 90.4 | 91.2 |
88
+ | ReactionT5 (This model) | - | USPTO_MIT | 92.8 | 95.6 | 96.4 | 97.1 |
89
  | ReactionT5 | USPTO_MIT | USPTO_MIT | 97.5 | 98.6 | 98.8 | 99.0 |
90
 
91
  Performance comparison of Compound T5, ReactionT5, and other models in product prediction.