diff --git a/turtorial/finetune_hrnet.md b/turtorial/finetune_hrnet.md
index f7feb9ddafd909fa829cf5f3e3d1c66c82505f57..dc746b6b90256dc138ade72994937bdccecf1b37 100644
--- a/turtorial/finetune_hrnet.md
+++ b/turtorial/finetune_hrnet.md
@@ -120,7 +120,7 @@ python pdseg/eval.py --use_gpu --cfg ./configs/hrnet_w18_pet.yaml
|预训练模型名称|BackBone|Norm Type|数据集|配置|
|-|-|-|-|-|
-|hrnet_w18_bn_cityscapes|-|bn| ImageNet | MODEL.MODEL_NAME: hrnet
MODEL.HRNET.STAGE2.NUM_CHANNELS: [18, 36]
MODEL.HRNET.STAGE3.NUM_CHANNELS: [18, 36, 72]
MODEL.HRNET.STAGE4.NUM_CHANNELS: [18, 36, 72, 144]
MODEL.DEFAULT_NORM_TYPE: bn|
+|hrnet_w18_bn_cityscapes|-|bn| Cityscapes | MODEL.MODEL_NAME: hrnet
MODEL.HRNET.STAGE2.NUM_CHANNELS: [18, 36]
MODEL.HRNET.STAGE3.NUM_CHANNELS: [18, 36, 72]
MODEL.HRNET.STAGE4.NUM_CHANNELS: [18, 36, 72, 144]
MODEL.DEFAULT_NORM_TYPE: bn|
| hrnet_w18_bn_imagenet |-|bn| ImageNet | MODEL.MODEL_NAME: hrnet
MODEL.HRNET.STAGE2.NUM_CHANNELS: [18, 36]
MODEL.HRNET.STAGE3.NUM_CHANNELS: [18, 36, 72]
MODEL.HRNET.STAGE4.NUM_CHANNELS: [18, 36, 72, 144]
MODEL.DEFAULT_NORM_TYPE: bn |
| hrnet_w30_bn_imagenet |-|bn| ImageNet | MODEL.MODEL_NAME: hrnet
MODEL.HRNET.STAGE2.NUM_CHANNELS: [30, 60]
MODEL.HRNET.STAGE3.NUM_CHANNELS: [30, 60, 120]
MODEL.HRNET.STAGE4.NUM_CHANNELS: [30, 60, 120, 240]
MODEL.DEFAULT_NORM_TYPE: bn |
| hrnet_w32_bn_imagenet |-|bn| ImageNet | MODEL.MODEL_NAME: hrnet
MODEL.HRNET.STAGE2.NUM_CHANNELS: [32, 64]
MODEL.HRNET.STAGE3.NUM_CHANNELS: [32, 64, 128]
MODEL.HRNET.STAGE4.NUM_CHANNELS: [32, 64, 128, 256]
MODEL.DEFAULT_NORM_TYPE: bn |