Training via CLI script yields only ~35% accuracy, while I previously observed ~99% accuracy using the GUI with the same parameters

VENKATESH · August 1, 2025, 9:07am

Project name: nRF52840DK-continous-motion-recognition
Project ID: 728239

I was using the REST API to post neural network settings to the Edge Impulse cloud. When I train the model using this CLI script, I consistently get around 35% accuracy. However, when I train the same neural network settings via the GUI, I get 99% accuracy.

I’ve verified that the parameters — including training cycles, learning rate, batch size, and optimizer settings — are identical between the CLI and GUI.

Can someone help me understand why the CLI training yields significantly lower accuracy despite matching the GUI configuration?

The below are my screenshots for both via GUI and CLI script:
a) via script

b) via GUI

Best Regards,
Venkatesh K.