update get template

src/llamafactory/eval/evaluator.py

@@ -59,7 +59,7 @@ class Evaluator:
         self.model_args, self.data_args, self.eval_args, finetuning_args = get_eval_args(args)
         self.tokenizer = load_tokenizer(self.model_args)["tokenizer"]
         self.tokenizer.padding_side = "right"  # avoid overflow issue in batched inference for llama2
-        self.template = get_template_and_fix_tokenizer(self.tokenizer, self.data_args.template)
+        self.template = get_template_and_fix_tokenizer(self.tokenizer, self.data_args)
         self.model = load_model(self.tokenizer, self.model_args, finetuning_args)
         self.eval_template = get_eval_template(self.eval_args.lang)
         self.choice_inputs = [self.tokenizer.encode(ch, add_special_tokens=False)[-1] for ch in CHOICES]