Update README.md

README.md

@@ -73,7 +73,7 @@ See below for information about the models' performance in different in-silico t
 ## **Model description**
 
 REXzyme is based on the [Efficient T5 Large Transformer](https://huggingface.co/google/t5-efficient-large) architecture (which in turn is very similar to the current version of Google Translator)
-and contains 48 (24 el/ 24 dl) layers with a model dimensionality of 1024, totaling 737.72 million parameters. 
+and contains 48 (24 encoder/ 24 decoder) layers with a model dimensionality of 1024, totaling 737.72 million parameters. 
 
 REXzyme is a translation machine trained on portion the RHEA database containing 31970152 reaction-enzyme pairs. 
 The pre-training was done on pairs of smiles and amino acid sequences, tokenized with a char-level