Update negbleurt.py

negbleurt.py

@@ -68,6 +68,6 @@ class NegBLEURT(evaluate.Metric):
 
         scores_negbleurt = []
         for i in range(0, len(references), batch_size):
-            tokenized = self.tokenizer(references[i:i+batch_size], candidates[i:i+batch_size], return_tensors='pt', padding=True, max_length=512, truncation=True)
+            tokenized = self.tokenizer(references[i:i+batch_size], predictions[i:i+batch_size], return_tensors='pt', padding=True, max_length=512, truncation=True)
             scores_negbleurt += self.model(**tokenized).logits.flatten().tolist()
         return {'negBLEURT': scores_negbleurt}