Update README.md

README.md

@@ -11,12 +11,11 @@ This is a version of https://huggingface.co/answerdotai/ModernBERT-base that was
 - learning_rate=2e-6,
 - lr_scheduler_type="cosine",
 - fp16=True
-- 
+
 Model trained without the test set managed to reach from 0.74 to 0.75 on different runs. The final version submitted also incorporated samples from the public test set in the training set.
  
 **Other attempted methods**
  
-
 What we also attempted within the challenge :
 
 TF-IDF trained RandomForest, Logistic Regression or XGBoost : Performances were at around 0.54 on test set without overfitting