Update README.md

README.md

@@ -43,8 +43,7 @@ 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.
-LABEL_0 = Ham (Not spam)
-LABEL_1 = Spam
+\nLABEL_0 = Ham (Not spam), LABEL_1 = Spam
 
 ## Intended uses & limitations
 
@@ -53,7 +52,7 @@ This model can be used to detect spam texts. The primary limitation of this mode
 ## Training and evaluation data
 
 Training corpus = 80%
-Evaluation corpus = 20%
+\nEvaluation corpus = 20%
 
 
 ### Training hyperparameters