(Performance update: 33% training in about 2h50 min)
The IoU (aka Jaccard Similarity) is indistinguishable from 1 after 32% training (actual 0.993) but the predicted image is noticeably noisy. the loss over all epochs is small but non-zero. Can anyone shed some light on how the IoU is being calculated here?
Looking at global loss we also see this
Epoch 0 at the left of “Loss over all epochs” - is that 0 based counting?
And… validation loss = 0 at epoch 1. How is that possible? I believe the loss used is quadratic, rather than cross-entropy, and all losses must be +ve so no cancellation is possible.
All insights welcome!