diff --git a/pretrained_model/download_model.py b/pretrained_model/download_model.py
index a4cee72cb41014268644fdc11bb4856a500eed90..7b44c8038a6c09add5c1a8be292975a21b38fbb0 100644
--- a/pretrained_model/download_model.py
+++ b/pretrained_model/download_model.py
@@ -57,7 +57,7 @@ model_urls = {
     "https://paddleseg.bj.bcebos.com/models/unet_coco_v3.tgz",
     "icnet_bn_cityscapes":
     "https://paddleseg.bj.bcebos.com/models/icnet_cityscapes.tar.gz",
-    "pspnet50_cityscapes":
+    "pspnet50_bn_cityscapes":
     "https://paddleseg.bj.bcebos.com/models/pspnet50_cityscapes.tgz"
 }
 
diff --git a/turtorial/finetune_pspnet.md b/turtorial/finetune_pspnet.md
index e15e23cb1f27fc0811c6e5bdaa839e66dde7bc8f..34d20dda85cf56399710d0f70d610fed9997a042 100644
--- a/turtorial/finetune_pspnet.md
+++ b/turtorial/finetune_pspnet.md
@@ -21,7 +21,7 @@ python dataset/download_pet.py
 接着下载对应的预训练模型
 
 ```shell
-python pretrained_model/download_model.py pspnet50_cityscapes
+python pretrained_model/download_model.py pspnet50_bn_cityscapes
 ```
 
 ## 三. 准备配置
@@ -117,5 +117,5 @@ python pdseg/eval.py --use_gpu --cfg ./configs/test_pet.yaml
 
 |预训练模型名称|BackBone|Norm|数据集|配置|
 |-|-|-|-|-|
-|pspnet50_cityscapes|ResNet50|bn|Cityscapes|MODEL.MODEL_NAME: pspnet <br> MODEL.DEFAULT_NORM_TYPE: bn <br> MODEL.PSPNET.LAYERS: 50|
-|pspnet101_cityscapes|ResNet101|bn|Cityscapes|MODEL.MODEL_NAME: pspnet <br> MODEL.DEFAULT_NORM_TYPE: bn <br> MODEL.PSPNET.LAYERS: 101|
+|pspnet50_bn_cityscapes|ResNet50|bn|Cityscapes|MODEL.MODEL_NAME: pspnet <br> MODEL.DEFAULT_NORM_TYPE: bn <br> MODEL.PSPNET.LAYERS: 50|
+|pspnet101_bn_cityscapes|ResNet101|bn|Cityscapes|MODEL.MODEL_NAME: pspnet <br> MODEL.DEFAULT_NORM_TYPE: bn <br> MODEL.PSPNET.LAYERS: 101|