diff --git a/.gitignore b/.gitignore
index 6dc2f3392135d3b43923f87460f274b5aea104fe..b307960622eebe482180a5fff0f91dde96931ff1 100644
--- a/.gitignore
+++ b/.gitignore
@@ -124,6 +124,7 @@ virt_env*/
 # Ignore (Batch) runscripts
 video_prediction_tools/HPC_scripts/**
 !video_prediction_tools/HPC_scripts/*_template.sh
+!video_predcition_tools/HPC_scripts/config_train.py
 video_prediction_tools/Zam347_scripts/**
 !video_prediction_tools/Zam347_scripts/*_template.sh
- 
+!video_predcition_tools/Zam347_scripts/config_train.py
diff --git a/video_prediction_tools/HPC_scripts/config_train.py b/video_prediction_tools/HPC_scripts/config_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..66a47f58bb584cca35261e908a143b9a0df560d8
--- /dev/null
+++ b/video_prediction_tools/HPC_scripts/config_train.py
@@ -0,0 +1,67 @@
+"""
+Basic task of the Python-script:
+
+Creates user-defined runscripts for training, set ups a user-defined target directory and allows for full control
+on the setting of hyperparameters.
+"""
+
+__email__ = "b.gong@fz-juelich.de"
+__authors__ = "Bing Gong, Scarlet Stadtler,Michael Langguth"
+__date__ = "2020-10-27"
+
+# import modules
+import sys, os, glob
+import numpy as np
+import datetime as dt
+import json as js
+import metadata
+sys.path.append(path.abspath('../video_prediction/'))
+from models import get_model_class
+
+known_architectures = ["savp","convLSTM","vae","mcnet"]
+if not (model in known_architectures):
+
+
+# start script
+
+def main():
+    # get required information from the user by keyboard interaction
+
+    # path to preprocessed data
+    exp_dir = input("Enter the path to the preprocessed data (directory where tf-records files are located):\n")
+    exp_dir = os.path.join(exp_dir,"train")
+    # sanity check (does preprocessed data exist?)
+    if not (os.path.isdir(exp_dir)):
+        raise NotADirectoryError("Passed path to preprocessed data '"+exp_dir+"' does not exist!")
+    file_list = glob.glob(os.path.join(exp_dir,"sequence*.tfrecords"))
+    if len(file_list) == 0:
+        raise FileNotFoundError("Passed path to preprocessed data '"+exp_dir+"' exists,"+\
+                                "but no tfrecord-files can be found therein")
+
+    # path to virtual environment to be used
+    venv_name = input("Enter the name of the virtual environment which should be used:\n")
+
+    # sanity check (does virtual environment exist?)
+    if not (os.path.isfile("../",venv_name,"bin","activate")):
+        raise FileNotFoundError("Could not find a virtual environment named "+venv_name)
+
+    # model
+
+
+    # experimental ID
+    exp_id = input("Enter your desired experimental id:\n")
+
+    # also get current timestamp and user-name
+    timestamp = dt.datetime.now().strftime("%Y%m%dT%H%M%S")
+    user_name = os.environ["USER"]
+
+
+
+
+
+
+
+
+
+
+