Update README.md

README.md

@@ -32,7 +32,7 @@ entities_per_query = model.predict(test_query)
 
 for entities in entities_per_query:
     for entity in entities:
-        print(entity["span"], "=>", entity["label"])
+        print(entity["span"], "-->", entity["label"])
 ```
 
 ## Training and evaluation data
@@ -59,7 +59,7 @@ It achieves the following results on the evaluation set:
 - Overall Recall: 0.7947
 - Overall F1: 0.7791
 - Overall Accuracy: 0.9397
-- 
+  
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |