diff --git a/README.md b/README.md
index 8a8402ff558b7a52a543d4ca35bbcf4e702513b9..1b56aff1ea078b6e630708ce073cc029edcc7306 100644
--- a/README.md
+++ b/README.md
@@ -14,6 +14,8 @@ cd ~/DeepLearningExamples/nnunet_for_pytorch_$VERSION/
 
 - Build the nnU-Net PyTorch Docker container
 Change the pytorch-lightning version to 1.5.10 to avoid the `from torchmetrics.utilities.data import get_num_classes as _get_num_classes` error.
+
+Add `ENV PYTHONNOUSERSITE=True` to the `Dockerfile` to disable the user packages.
 ```
 docker build -t nnunet .
 ```
diff --git a/scripts/benchmark_single_node.sbatch b/scripts/benchmark_single_node.sbatch
index 0cdc3aac570e0148b567b980003e9faeb784b784..a4c124bf03a58ee175a9c2203e775d008b431f01 100644
--- a/scripts/benchmark_single_node.sbatch
+++ b/scripts/benchmark_single_node.sbatch
@@ -10,10 +10,10 @@
 # This version does not run on multi-node
 # For apptainer
 rm -f results/benchmark_dim${1}_nodes${2}_gpus${3}_batchsize${4}_tf32_iteration${5}.json
-apptainer exec --nv --no-home -B ${PWD}/data:/data -B ${PWD}/results:/results nvidia_nnu-net_for_pytorch_21.11.0.sif bash -c "cd /workspace/nnunet_pyt && python scripts/benchmark.py --mode train --gpus ${3} --dim ${1} --batch_size ${4} --logname='benchmark_dim${1}_nodes${2}_gpus${3}_batchsize${4}_tf32_iteration${5}.json'"  
+apptainer exec --nv -B ${PWD}/data:/data -B ${PWD}/results:/results nvidia_nnu-net_for_pytorch_21.11.0.sif bash -c "cd /workspace/nnunet_pyt && python scripts/benchmark.py --mode train --gpus ${3} --dim ${1} --batch_size ${4} --logname='benchmark_dim${1}_nodes${2}_gpus${3}_batchsize${4}_tf32_iteration${5}.json'"  
 
 rm -f results/benchmark_dim${1}_nodes${2}_gpus${3}_batchsize${4}_amp_iteration${5}.json
-apptainer exec --nv --no-home -B ${PWD}/data:/data -B ${PWD}/results:/results nvidia_nnu-net_for_pytorch_21.11.0.sif bash -c "cd /workspace/nnunet_pyt && python scripts/benchmark.py --mode train --gpus ${3} --dim ${1} --batch_size ${4} --amp --logname='benchmark_dim${1}_nodes${2}_gpus${3}_batchsize${4}_amp_iteration${5}.json'"  
+apptainer exec --nv -B ${PWD}/data:/data -B ${PWD}/results:/results nvidia_nnu-net_for_pytorch_21.11.0.sif bash -c "cd /workspace/nnunet_pyt && python scripts/benchmark.py --mode train --gpus ${3} --dim ${1} --batch_size ${4} --amp --logname='benchmark_dim${1}_nodes${2}_gpus${3}_batchsize${4}_amp_iteration${5}.json'"  
 
 
 ###################22.11.0