diff --git a/src/llamafactory/data/template.py b/src/llamafactory/data/template.py
index bf07ec95..6acdebac 100644
--- a/src/llamafactory/data/template.py
+++ b/src/llamafactory/data/template.py
@@ -398,11 +398,11 @@ def get_template_and_fix_tokenizer(tokenizer: "PreTrainedTokenizer", data_args:
         if num_added_tokens > 0:
             logger.warning("New tokens have been added, make sure `resize_vocab` is True.")
 
-    if template.replace_jinja_template:
+    if tokenizer.chat_template is None or template.replace_jinja_template:
         try:
             tokenizer.chat_template = _get_jinja_template(template, tokenizer)
-        except ValueError:
-            logger.info("Cannot add this chat template to tokenizer.")
+        except ValueError as e:
+            logger.info(f"Cannot add this chat template to tokenizer: {e}.")
 
     return template
 
diff --git a/src/llamafactory/model/loader.py b/src/llamafactory/model/loader.py
index 5fdfd8c1..e117976f 100644
--- a/src/llamafactory/model/loader.py
+++ b/src/llamafactory/model/loader.py
@@ -100,7 +100,7 @@ def load_tokenizer(model_args: "ModelArguments") -> "TokenizerModule":
         processor = AutoProcessor.from_pretrained(model_args.model_name_or_path, **init_kwargs)
         patch_processor(processor, config, tokenizer, model_args)
     except Exception as e:
-        logger.warning(f"Processor was not found: {e}.")
+        logger.debug(f"Processor was not found: {e}.")
         processor = None
 
     # Avoid load tokenizer, see: