diff --git a/cv/classification/resnet50/pytorch/README.md b/cv/classification/resnet50/pytorch/README.md
index 6e4e5da3810c18cf953c5271dee03cff3877443e..5a4f9318ca88b8ad6fb6135e5a595322c691cc2d 100644
--- a/cv/classification/resnet50/pytorch/README.md
+++ b/cv/classification/resnet50/pytorch/README.md
@@ -4,7 +4,7 @@ Residual Networks, or ResNets, learn residual functions with reference to the la
 
 ## Step 1: Installing
 ```bash
-pip3 install -r requirements.txt
+pip3 install torch torchvision
 ```
 :beers: Done!
 
diff --git a/cv/classification/vgg/pytorch/train_vgg16_amp_dist.sh b/cv/classification/vgg/pytorch/train_vgg16_amp_dist.sh
index 68e3ff1871ce5cf1c88eb552cfa1a5ad8b421044..4fa6953dae786cd10ae4ef1594593b04b8f61b49 100755
--- a/cv/classification/vgg/pytorch/train_vgg16_amp_dist.sh
+++ b/cv/classification/vgg/pytorch/train_vgg16_amp_dist.sh
@@ -26,5 +26,5 @@ fi
 cd ${ROOT_DIR}
 python3  $PYTHONARG ${ROOT_DIR}/run_train.py  \
 	--model vgg16 --dali --dali-cpu  --data-path $DATA_PATH  \
-	--opt fused_sgd --batch-size 300 --lr 1e-2   \
+	--opt fused_sgd --batch-size 200 --lr 1e-2   \
 	--amp --nhwc "$@"