fix NameError

evaluate_data.py

@@ -33,7 +33,7 @@ with open(feature_path, 'rb') as f:
 ner_model = AutoModelForTokenClassification.from_pretrained(checkpoint)
 
 
-tokenized_dataset = test.map(
+tokenized_test = test.map(
     tokenize_and_align_labels,
     batched=True,
     batch_size=None,
@@ -52,7 +52,7 @@ def collate_fn(data):
     
     return input_ids, token_type_ids, attention_mask, labels
 
-loader = torch.utils.data.DataLoader(tokenized_test, batch_size=32, collate_fn=collate_fn2)
+loader = torch.utils.data.DataLoader(tokenized_test, batch_size=32, collate_fn=collate_fn)
 device = torch.device('cuda:0') if torch.cuda.is_available() else torch.device('cpu')
 
 ner_model = ner_model.eval()