Comments (3)
I would say that your curves indicate that you need more training time. You also see that the losses are still going down and the IoU goes still up.
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I would say that your curves indicate that you need more training time. You also see that the losses are still going down and the IoU goes still up.
Thank you for your reply !
I will keep training it and see what will happen.
Do you know how long it usually takes to train a model like SqueezeSeg ?
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I have just checked, and training was done for roughly 300 epochs.
Convergence will be faster than that, at 150-200 epochs, but I kept training for fairness to the original method, because I wanted to make sure there would be no improvement. I'm closing this now, if there is more questions feel free to keep commenting.
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Related Issues (20)
- Expected object of scalar type Long but got scalar type Int for argument #2 'target'
- Question about speed after tensorrt of rangenet++ HOT 2
- Possibility of rosifying the process HOT 1
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- RangeNet++
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- IndexError: index -2147483648 is out of bounds for axis 0 with size 64 HOT 6
- About learning_map in semantic-kitti.yaml file HOT 3
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