How do I avoid an ARIMA Learner maximal count exceeded error within a Group Loop?

I’m running an ARIMA prediction within a group loop that loops 242 times and outputs individual files. When test run individually, files process as expected; each file contains 396 rows and 14 columns. However, when the prediction model is placed within the loop, the ARIMA Lerner node fails execution after only 6 iterations.

I’m given this error message from the ARIMA Learner node: “Execute failed: illegal state: maximal count (2,147,483,647) exceeded: evaluations”

I’ve already modified the knime.ini file to have the Xmx size increased from 8048 to 16096, with zero effect, so I reverted back to 8048.

I would think that every time the loop started over again, the ARIMA Learner node would be reset and rerun and never get close to a processing limit.

Is there a way to avoid this or “clear the cache” for each loop?