diff --git a/configs/faster_rcnn/_base_/faster_rcnn_swin_transformer.yml b/configs/faster_rcnn/_base_/faster_rcnn_swin_transformer.yml
index 918fc52f1b3b9f4b92c5fd31c971bb4949f01cc1..5cae9ba7b628a0168807850150e0d752f261a6ab 100644
--- a/configs/faster_rcnn/_base_/faster_rcnn_swin_transformer.yml
+++ b/configs/faster_rcnn/_base_/faster_rcnn_swin_transformer.yml
@@ -13,10 +13,9 @@ SwinTransformer:
   num_heads: [3, 6, 12, 24]
   window_size: 7
   ape: false
-  drop_path_rate: 0.1
+  drop_path_rate: 0.2
   patch_norm: true
   out_indices: [0,1,2,3]
-  drop_path_rate: 0.1
   pretrained: https://paddledet.bj.bcebos.com/models/pretrained/swin_tiny_patch4_window7_224.pdparams
 
 FPN:
diff --git a/ppdet/modeling/backbones/swin_transformer.py b/ppdet/modeling/backbones/swin_transformer.py
index f4411b2f527f1e968c27be42b34f954f772d1e53..8ee8bd66a9e2aafa0bcc50ac19f1cad6a1cbc767 100644
--- a/ppdet/modeling/backbones/swin_transformer.py
+++ b/ppdet/modeling/backbones/swin_transformer.py
@@ -673,9 +673,6 @@ class SwinTransformer(nn.Layer):
             else:  #model in local path
                 path = pretrained
             self.set_state_dict(paddle.load(path))
-            print('###################################################')
-            print('###############Success load the mode###############')
-            print('###################################################')
 
     def _freeze_stages(self):
         if self.frozen_stages >= 0: