Update README.md

README.md

@@ -43,7 +43,8 @@ print(result)
 ## Model description
 
 This model is a fine-tuned version of the [BERT](https://huggingface.co/bert-base-uncased) model on [Spam-Ham](https://huggingface.co/datasets/SalehAhmad/Spam-Ham) dataset to improve the performance of sentiment analysis on Spam Detection tasks.
-\nLABEL_0 = Ham (Not spam), LABEL_1 = Spam
+- LABEL_0 = Ham (Not spam)
+-  LABEL_1 = Spam
 
 ## Intended uses & limitations
 
@@ -51,8 +52,8 @@ This model can be used to detect spam texts. The primary limitation of this mode
 
 ## Training and evaluation data
 
-Training corpus = 80%
-\nEvaluation corpus = 20%
+- Training corpus = 80%
+- Evaluation corpus = 20%
 
 
 ### Training hyperparameters