Update README.md

README.md

@@ -21,6 +21,11 @@ It achieves the following results on the evaluation set:
 - Loss: 0.2084
 - Accuracy: 0.9735
 
+On a production data(not used as part of training), model achieves an accuracy of ~98.8% for comparison, the ```distilbert``` version achieves ~98.4%.
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+While there is a detectable increase in performance, I'm not sure if it's worth. Personally I'm still sticking with distilbert version.
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 ## Model description
 
 This model came to be because currently available moderation tools are not strict enough. Good example is OpenAI omni-moderation-latest.