Update README.md

README.md

@@ -79,13 +79,13 @@ Data preprocessing involved tokenization using DeBERTa's tokenizer, padding to a
 
 #### Training Hyperparameters
 Training Hyperparameters
--**Batch size**: 32
--**Learning rate**: 5e-5
--**Epochs**: 10
--**Optimizer**: AdamW
+- **Batch size:** 32
+- **Learning rate:** 5e-5
+- **Epochs:** 10
+- **Optimizer:** AdamW
 
 ### Results
 The model achieved the following accuracy scores:
--**Emotion Detection**: 92%
--**Polarity Classification**: 95%
--**Hate Speech Detection**: 99%
+- **Emotion Detection:** 92%
+- **Polarity Classification:** 95%
+- **Hate Speech Detection:** 99%