Update README.md

README.md

@@ -22,7 +22,7 @@ The training for the distilled model (student model) is designed to be the close
 
 The final loss function is a combination of these three losses functions. We use the following ponderation:
 
-$$Loss = 0.5 \times DistilLoss + 0.3 \times CosineLoss$$ + 0.2 \times MLMLoss
+$$Loss = 0.5 \times DistilLoss + 0.3 \times CosineLoss + 0.2 \times MLMLoss$$
 
 Dataset
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