Update README.md

README.md

@@ -45,7 +45,7 @@ labels = [row[1] for row in csvreader if len(row) > 1]
 model = AutoModelForSequenceClassification.from_pretrained(MODEL)
 model.save_pretrained(MODEL)
 
-text = "Good night 😊"
+text = "Great, it broke the first day..."
 text = preprocess(text)
 encoded_input = tokenizer(text, return_tensors='pt')
 output = model(**encoded_input)
@@ -74,6 +74,6 @@ for i in range(scores.shape[0]):
 Output: 
 
 ```
-1) non_irony 0.9002
-2) irony 0.0998
+1) irony 0.914
+2) non_irony 0.086
 ```