Update README.md

README.md

@@ -49,7 +49,7 @@ running the model in zero-shot is that it doesn't require any further training.
 ### **Example 1: Generating nitrilases (EC 3.5.5.1)**  
 
 The script below will be used for the generation of any BRENDA class in a zero-shot fashion, 
-here we showcase the generation of novel dehalogenases.
+here we showcase the generation of novel nitrilases.
 
 To run this script, you should download ZymCTRL to a local folder in your workstation. 
 Then replace the placeholders in the script with your actual folder path.
@@ -62,8 +62,8 @@ it will store the sequence's computed perplexity value. Perplexity is a measure
 in that generation, with lower values being better. The sequences are ordered by perplexity before writing them out,
 so those that finish in *_0.fasta and *_1.fasta will be the best ones per batch. 
 
-**Given that generation runs so fast, we recommend generating hundreds or thousands and then only picking the best 5%. 
-With the script below, that would mean picking only those that finish in '_0.fasta'**
+**Given that generation runs so fast, we recommend generating hundreds or thousands and then only picking the best 5% or less. 
+With the script below, that would mean picking only those that finish in '_0.fasta'. Good perplexity values for this model so be below 1.75-1.5.** 
 
 ```
 import torch