Update README.md

README.md

@@ -14,17 +14,18 @@ probably proofread and complete it, then remove this comment. -->
 
 # distilbert-hatespeech-classifier
 
+## Model description
+
 This model fine-tunes distilbert-base-uncased on the Davidson et al. (2017) hate speech and offensive language dataset loaded from HuggingFace. The classifier predicts whether a tweet is:
 
- (a) hate speech
- (b) offensive but not hate
- (c) neither, using a frozen DistilBERT base and a custom dense head.
+- (a) hate speech
+- (b) offensive but not hate
+- (c) neither
 
-The architecture consists of three dense layers (256 → 128 → 32, LeakyReLU and Swish activations), with dropout and batch normalization to improve generalization.
+Using a frozen DistilBERT base and a custom dense head.
 
-## Model description
+The architecture consists of three dense layers (256 → 128 → 32, LeakyReLU and Swish activations), with dropout and batch normalization to improve generalization.
 
-More information needed
 
 ## Intended uses & limitations