Update README.md

README.md

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 # AmpGPT2
 
-AmpGPT2 is a language model capable of generating de novo antimicrobial peptides (AMPs). Generated sequences are predicted to be AMPs 95.83% of the time.
+AmpGPT2 is a language model capable of generating de novo antimicrobial peptides (AMPs). Over 95% of sequences generated by AmpGPT2 are predicted to have antimicrobial activities.
 
 ## Model description
 
 AmpGPT2 is a fine-tuned version of [nferruz/ProtGPT2](https://huggingface.co/nferruz/ProtGPT2) based on the GPT2 Transformer architecture. 
-
 | Model | sequences generated | AMP percentage (AMP%) | average length |
 |:------------:|:-----------:|:-----------:|:-----------:|
 | AmpGPT2| 1000 | 95.86| 64.08   |
 | ProtGPT2| 1000 | 51.85 | 222.59 |
 
+The results demonstrate that AmpGPT2 outperformes ProtGPT2 in AMP%, suggesting the model learned from the AMP-specific data.  
 To validate the results the Antimicrobial Peptide Scanner vr.2 (https://www.dveltri.com/ascan/v2/ascan.html) was used, which is a deep learning tool specifically designed for AMP recognition.
 
 ## Training and evaluation data