Update README.md

README.md

@@ -23,7 +23,7 @@ SMILES2IUPAC-canonical-base was designed to accurately translate SMILES chemical
 
 ### Model Description
 
-SMILES2IUPAC-canonical-small is based on the MT5 model with optimizations in implementing different tokenizers for the encoder and decoder. 
+SMILES2IUPAC-canonical-base is based on the MT5 model with optimizations in implementing different tokenizers for the encoder and decoder. 
 - **Developed by:** Knowladgator Engineering
 - **Model type:** Encoder-Decoder with attention mechanism
 - **Language(s) (NLP):** SMILES, IUPAC (English)
@@ -111,10 +111,10 @@ The model was trained on 100M examples of SMILES-IUPAC pairs with lr=0.0003, bat
 
 | Model                               | Accuracy | BLEU-4 score | Size(MB) |
 |-------------------------------------|---------|------------------|----------|
-| SMILES2IUPAC-canonical-small        |75%| 0.93                 | 23       |
-| SMILES2IUPAC-canonical-base         |86.9%|0.964|180|
-| STOUT V2.0\*                        | 66.65%  | 0.92                 | 128      |
-| STOUT V2.0 (according to our tests) |         | 0.89                 | 128      |
+| SMILES2IUPAC-canonical-small        |75%      |0.93              |23        |
+| SMILES2IUPAC-canonical-base         |86.9%    |0.964             |180       |
+| STOUT V2.0\*                        |66.65%   |0.92              |128       |
+| STOUT V2.0 (according to our tests) |         |0.89              |128       |
 *According to the original paper https://jcheminf.biomedcentral.com/articles/10.1186/s13321-021-00512-4
 
 ## Citation