Update README.md

README.md

@@ -38,10 +38,13 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification
 tokenizer = AutoTokenizer.from_pretrained("salesken/query_wellformedness_score")
 model = AutoModelForSequenceClassification.from_pretrained("salesken/query_wellformedness_score")
 sentences = [
-    'what was the reason for everyone to leave the company', 
-    'What was the reason behind everyone leaving the company', 
-    # ... other sentences
+    "The quarterly financial report are showing an increase.",  # Incorrect
+    "Him has completed the audit for last fiscal year.",  # Incorrect
+    "Please to inform the board about the recent developments.",  # Incorrect
+    "The team successfully achieved all its targets for the last quarter.",  # Correct
+    "Our company is exploring new ventures in the European market."  # Correct
 ]
+
 features = tokenizer(sentences, padding=True, truncation=True, return_tensors="pt")
 model.eval()
 with torch.no_grad():