run style check

Former-commit-id: 5ec33baf5f95df9fa2afe5523c825d3eda8a076b

src/llamafactory/train/tuner.py

@@ -37,14 +37,15 @@ from .trainer_utils import get_swanlab_callback
 
 if TYPE_CHECKING:
     from transformers import TrainerCallback
-    
+
 
 logger = logging.get_logger(__name__)
 
+
 def training_function(config: Dict[str, Any]) -> None:
     args = config.get("args", None)
     callbacks = config.get("callbacks", [])
-    
+
     callbacks.append(LogCallback())
     model_args, data_args, training_args, finetuning_args, generating_args = get_train_args(args)
 
@@ -71,15 +72,15 @@ def training_function(config: Dict[str, Any]) -> None:
     else:
         raise ValueError(f"Unknown task: {finetuning_args.stage}.")
 
+
 def run_exp(args: Optional[Dict[str, Any]] = None, callbacks: List["TrainerCallback"] = []) -> None:
-    
     args_dict = _read_args(args)
     ray_args = _parse_ray_args(args_dict)
-    
-    if ray_args.use_ray: 
+
+    if ray_args.use_ray:
         # Import lazily to avoid ray not installed error
         from ..integrations.ray.ray_train import get_ray_trainer
-        
+
         # Initialize ray trainer
         trainer = get_ray_trainer(
             training_function=training_function,