Update README.md

README.md

@@ -20,7 +20,7 @@ but this kicked away. maybe the explanation was not enough.
 - 1. choose one model and finetune the model to make a gap between the original one and fine-tuned one. it doesn't matter the evaluation score is higher or lower.
 - 2. merge two of them
 - 3. evaluate the merged model
-- 4. finetune a specific evaluation part if you need to increase score of the part of the model, 
+- 4. finetune a specific evaluation part if you need to increase score of the part of the model. sure it's not gonna work the way you think. but do it
 - 5. merge again
 - 6. evaluate again
 - 7. keep going until evaluate avg is higher then original one