Update README.md

README.md

@@ -116,14 +116,14 @@ Each hypothesis was constructed using the following candidate labels:
 
 ### Training Hyperparameters
 
--Batch Size: 128
--Learning Rate: 2e-5
--Epochs: 3
--Label Smoothing Factor: 0.1
--Optimizer: AdamW
--Scheduler: Linear with warmup
--Loss Function: Weighted cross-entropy to address class imbalance.
--...
+- Batch Size: 128
+- Learning Rate: 2e-5
+- Epochs: 3
+- Label Smoothing Factor: 0.1
+- Optimizer: AdamW
+- Scheduler: Linear with warmup
+- Loss Function: Weighted cross-entropy to address class imbalance.
+- ...
 
 ## Evaluation