Update README.md

README.md

@@ -1,7 +1,7 @@
 # Model Card: BART-based Sentiment Classification Model
-LABEL_0 
-LABEL_1 
-LABEL_2
+LABEL_0 = NEGATIVE
+LABEL_1  = NEUTRAL
+LABEL_2 = POSITIVE 
 
 # Model Details
 Model Name: BART-based Sentiment Classification Model
@@ -13,7 +13,7 @@ Pretrained Model: Facebook's BART-base
 # Intended Use
 Primary Task: Sentiment Classification
 Input: Textual message (string)
-Output: Sentiment category label (LABEL_0, LABEL_1, or LABEL_2)
+Output: Sentiment category label (LABEL_0(NEGATIVE), LABEL_1(NEUTRAL), or LABEL_2(POSITIVE))
 
 # Training Data
 Dataset: chat_dataset.csv