I am trying to fine-tune BERT in knime for emotion detection. I created a workflow which is working well on a laptop with a GPU.
However, when I am trying to repeat the experience on a laptop with no GPU, it is consuming the CPU fully (100% usage in windows 10) with a high memory performance (more than 80%)
Also I cannot see any training report in the console.
I tuned knim.ini based on the tips in Memory/Heap space issues in version 4+, but it was not helpful.
The training time has been increased significantly rather than when I was using the GPU.
I will appreciate any ideas to tackle this problem.