Updated READ.me

README.md

@@ -12,7 +12,7 @@ model-index:
 
 The rotten-tomatoes-model is a text-classification model. It used the `bert-base-cased` model, and was fine tuned on the `rotten_tomatoes` model. 
 
-After inputting a movie review, the model will output its prediction of how positive/negative the review is. LABEL_0 is Negative, while LABEL_1 is Positive.   
+After inputting a movie review, the model will output its prediction of how positive/negative the review is. `LABEL_0` is Negative, while `LABEL_1` is Positive.   
 
 ## Intended uses & limitations
 
@@ -22,7 +22,7 @@ An example use case for this model is taking in reviews spanning from the start
 
 ## Training and evaluation data
 
-As mentioned above, this model was fine-tuned on the rotten_tomatoes dataset, which contains 5,331 positive and 5,331 negative movie reviews from Rotten Tomatoes. 
+As mentioned above, this model was fine-tuned on the `rotten_tomatoes` dataset, which contains 5,331 positive and 5,331 negative movie reviews from Rotten Tomatoes. 
 
 
 ### Training results