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[D] Reasons for an increasing loss while having a steady accuracy?

I have this phenomenon that I don’t understand.

My loss is the cross entropy of the softmax prediction with one-hot encoded labels. The accuracy is a simple argmax comparison.

While the accuracy stays the same, the loss is heavily increasing. I would guess the reason is that all outputs get more equal but the correct label stays the highest values.

But what could be the reason for such a behavior? Why is that happening? What can I do about it?

submitted by /u/Spenhouet
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.