diff --git a/PaddleCV/rcnn/.run_ce.sh b/PaddleCV/rcnn/.run_ce.sh
index 15023b716a24c82d7a2ee282a7f0291cc4fa781e..e0e8fd52bef805177a27fc0e5c009e395016a120 100755
--- a/PaddleCV/rcnn/.run_ce.sh
+++ b/PaddleCV/rcnn/.run_ce.sh
@@ -7,11 +7,11 @@ export OMP_NUM_THREADS=1
 cudaid=${face_detection:=0} # use 0-th card as default
 export CUDA_VISIBLE_DEVICES=$cudaid
 
-FLAGS_benchmark=true  python train.py --model_save_dir=output/ --data_dir=dataset/coco/ --max_iter=100 --enable_ce --pretrained_model=./imagenet_resnet50_fusebn | python _ce.py
+FLAGS_benchmark=true  python train.py --model_save_dir=output/ --data_dir=dataset/coco/ --max_iter=500 --enable_ce --pretrained_model=./imagenet_resnet50_fusebn --learning_rate=0.00125 | python _ce.py
 
 
 cudaid=${face_detection_m:=0,1,2,3} # use 0,1,2,3 card as default
 export CUDA_VISIBLE_DEVICES=$cudaid
 
-FLAGS_benchmark=true  python train.py --model_save_dir=output/ --data_dir=dataset/coco/ --max_iter=100 --enable_ce --pretrained_model=./imagenet_resnet50_fusebn | python _ce.py
+FLAGS_benchmark=true  python train.py --model_save_dir=output/ --data_dir=dataset/coco/ --max_iter=500 --enable_ce --pretrained_model=./imagenet_resnet50_fusebn --learning_rate-0.005 | python _ce.py