diff --git a/src/llamafactory/hparams/finetuning_args.py b/src/llamafactory/hparams/finetuning_args.py
index 69c4ef77..483e9f4a 100644
--- a/src/llamafactory/hparams/finetuning_args.py
+++ b/src/llamafactory/hparams/finetuning_args.py
@@ -375,6 +375,14 @@ class SwanLabArguments:
         default=None,
         metadata={"help": "The log directory for SwanLab."},
     )
+    swanlab_lark_webhook_url: Optional[str] = field(
+        default=None,
+        metadata={"help": "The Lark(飞书) webhook URL for SwanLab."},
+    )
+    swanlab_lark_secret: Optional[str] = field(
+        default=None,
+        metadata={"help": "The Lark(飞书) secret for SwanLab."},
+    )
 
 
 @dataclass
diff --git a/src/llamafactory/train/trainer_utils.py b/src/llamafactory/train/trainer_utils.py
index 2380540e..e9e58d7e 100644
--- a/src/llamafactory/train/trainer_utils.py
+++ b/src/llamafactory/train/trainer_utils.py
@@ -599,6 +599,15 @@ def get_swanlab_callback(finetuning_args: "FinetuningArguments") -> "TrainerCall
     if finetuning_args.swanlab_api_key is not None:
         swanlab.login(api_key=finetuning_args.swanlab_api_key)
 
+    if finetuning_args.swanlab_lark_webhook_url is not None:
+        from swanlab.plugin.notification import LarkCallback  # type: ignore
+
+        lark_callback = LarkCallback(
+            webhook_url=finetuning_args.swanlab_lark_webhook_url,
+            secret=finetuning_args.swanlab_lark_secret,
+        )
+        swanlab.register_callbacks([lark_callback])
+
     class SwanLabCallbackExtension(SwanLabCallback):
         def setup(self, args: "TrainingArguments", state: "TrainerState", model: "PreTrainedModel", **kwargs):
             if not state.is_world_process_zero: