minor fix

README.md

@@ -376,11 +376,11 @@ Since this model was trained on publicly available speech datasets, the performa
   
 ### Performance
 
-**Test Hardware:** A100-SXM4-80GB
-**Batch Size:** 32
-**Precision:** float32
-**Use AMP:** False
-**Matmul Precision:** High
+- **Test Hardware:** A100-SXM4-80GB
+- **Batch Size:** 32
+- **Precision:** float32
+- **Use AMP:** False
+- **Matmul Precision:** High
 
 The performance of Automatic Speech Recognition models is measured using Word Error Rate (WER) and Char Error Rate (CER).
 Since this dataset is trained on multiple domains, it will generally perform well at transcribing audio in general.