var name typo

semscore.py

@@ -121,7 +121,7 @@ class SemScore(evaluate.Metric):
                 encoded_refs = self.tokenizer(batch_refs, padding=True, truncation=True, return_tensors='pt')
                 encoded_preds = self.tokenizer(batch_preds, padding=True, truncation=True, return_tensors='pt')
                 model_output_refs = self.model(**encoded_refs.to(device))
-                model_output_preds = self.model(**encoded_predictions.to(device))
+                model_output_preds = self.model(**encoded_preds.to(device))
                 batch_pooled_refs = mean_pooling(model_output_refs, encoded_refs['attention_mask'])
                 batch_pooled_preds = mean_pooling(model_output_preds, encoded_preds['attention_mask'])
                 pooled_refs.append(batch_pooled_refs)