diff --git a/video_prediction_tools/HPC_scripts/train_model_era5_container_template.sh b/video_prediction_tools/HPC_scripts/train_model_era5_container_template.sh
deleted file mode 100644
index ba4e60c2083785af223f345067cd727236a7dc8d..0000000000000000000000000000000000000000
--- a/video_prediction_tools/HPC_scripts/train_model_era5_container_template.sh
+++ /dev/null
@@ -1,50 +0,0 @@
-#!/bin/bash -x
-#SBATCH --account=deepacf
-#SBATCH --nodes=1
-#SBATCH --ntasks=1
-#SBATCH --output=train_model_era5_container-out.%j
-#SBATCH --error=train_model_era5_container-err.%j
-#SBATCH --time=24:00:00
-##SBATCH --time=00:20:00
-#SBATCH --gres=gpu:1
-#SBATCH --partition=booster
-#SBATCH --mail-type=ALL
-#SBATCH --mail-user=me@somewhere.com
-
-### Two nodes, 8 GPUs
-##SBATCH --nodes=2
-##SBATCH --ntasks=8
-##SBATCH --ntasks-per-node=4
-##SBATCH --gres=gpu:4
-## Also take care for the job submission with srun below!!!
-
-
-WORK_DIR=`pwd`
-BASE_DIR=$(dirname "$WORK_DIR")
-# Name of virtual environment
-VIRT_ENV_NAME="my_venv"
-# Name of container image (must be available in working directory)
-CONTAINER_IMG="${WORK_DIR}/tensorflow_21.09-tf1-py3.sif"
-
-# clean-up modules to avoid conflicts between host and container settings
-module purge
-
-# declare directory-variables which will be modified appropriately during Preprocessing (invoked by mpi_split_data_multi_years.py)
-source_dir=/my/path/to/tfrecords/files
-destination_dir=/my/model/output/path
-
-# valid identifiers for model-argument are: convLSTM, savp, mcnet and vae
-model=convLSTM
-datasplit_dict=${destination_dir}/data_split.json
-model_hparams=${destination_dir}/model_hparams.json
-
-# run training in container
-export CUDA_VISIBLE_DEVICES=0,1,2,3
-## One node, single GPU 
-srun --mpi=pspmix --cpu-bind=none \
-singularity exec --nv ${CONTAINER_IMG} ./wrapper_container.sh ${VIRT_ENV_NAME} python3 ${BASE_DIR}/main_scripts/main_train_models.py \
-	--input_dir ${source_dir}  --datasplit_dict ${datasplit_dict}  --dataset era5 --model ${model} --model_hparams_dict ${model_hparams} --output_dir ${destination_dir}/
-
-## Two nodes, 8 GPUs 
-#srun -N 2 -n 8 --ntasks-per-node 4 singularity exec --nv ${CONTAINER_IMG} ./wrapper_container.sh ${VIRT_ENV_NAME} python3 ${BASE_DIR}/main_scripts/main_train_models.py \
-#	--input_dir ${source_dir} --datasplit_dict ${datasplit_dict} --dataset era5 --model ${model} --model_hparams_dict ${model_hparams} --output_dir ${destination_dir}/