diff --git a/dynamics_learning/entrypoint.sh b/dynamics_learning/entrypoint.sh
index 87e40dd0cd77b01a8478ea649e2e97e8cb374590..d1413e6b9aa16fb7b7a4aaa3c5286093f2549813 100755
--- a/dynamics_learning/entrypoint.sh
+++ b/dynamics_learning/entrypoint.sh
@@ -4,7 +4,7 @@
 printenv >> /etc/environment
 
 # Write out the cron job to a file
-echo "* * * * * /usr/bin/env python3 /app/dynamics_learning/foundation_model.py >> /var/log/cron.log 2>&1" > /etc/cron.d/mycron
+echo "* 2 * * * /usr/bin/env python3 /app/dynamics_learning/foundation_model.py >> /var/log/cron.log 2>&1" > /etc/cron.d/mycron
 
 # Apply cron job
 crontab /etc/cron.d/mycron
diff --git a/dynamics_learning/foundation_model.py b/dynamics_learning/foundation_model.py
index 1e49ed4b8224a0d50f5b87a45f8adbf7b900e799..ddc78593c07aba75ffaf32573cbb1760e9b614a1 100644
--- a/dynamics_learning/foundation_model.py
+++ b/dynamics_learning/foundation_model.py
@@ -72,9 +72,9 @@ if __name__ == "__main__":
         if model:
             logger.info("Evaluating current model with test data.")
             test_dataset = Dataset(type="test")
-            test_dataset.download()  # FIXME
+            test_dataset.download()
             interpolate("/app/dynamics_learning/Trajectory Data/test")
-            model_analysis(test_dataset, model)  # FIXME
+            model_analysis(test_dataset, model)
             "\n=====================================\nModel evaluated\n=====================================\n"
         else:
             logger.info("Model is not being evaluated.")
diff --git a/dynamics_learning/train_instance.py b/dynamics_learning/train_instance.py
new file mode 100644
index 0000000000000000000000000000000000000000..38fb8ccaa481e7019ed1fa082a353ffe8caa2a39
--- /dev/null
+++ b/dynamics_learning/train_instance.py
@@ -0,0 +1 @@
+# 5vlv6m3t: ITA instance from scratch (used to train LLT instance)