tiny fix

src/utils/common.py

@@ -279,6 +279,9 @@ def prepare_args(
     if training_args.do_train and (not training_args.fp16):
         logger.warning("We recommend enable fp16 mixed precision training.")
 
+    if data_args.prompt_template == "alpaca":
+        logger.warning("Please specify `prompt_template` if you are using other pre-trained models.")
+
     if training_args.local_rank != -1 and training_args.ddp_find_unused_parameters is None:
         logger.warning("`ddp_find_unused_parameters` needs to be set as False in DDP training.")
         training_args.ddp_find_unused_parameters = False
@@ -318,6 +321,9 @@ def prepare_infer_args() -> Tuple[ModelArguments, DataTrainingArguments, Finetun
     if model_args.quantization_bit is not None and finetuning_args.finetuning_type != "lora":
         raise ValueError("Quantization is only compatible with the LoRA method.")
 
+    if data_args.prompt_template == "alpaca":
+        logger.warning("Please specify `prompt_template` if you are using other pre-trained models.")
+
     return model_args, data_args, finetuning_args