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I am using the following settings: 628x628 random cropping, reflection padding, 4 mini-batch size (can't fit 8 into memory), 0.001 learning rate, 0.99 momentum, SGD.
The problem is that my test loss stays around 9 without changing and the train loss just jumps between 30 and 50. The test accuracy is 0. I tried increasing the iter_size without any success. Any idea what I might be doing wrong?
The text was updated successfully, but these errors were encountered:
Hello,
I am trying to train the front-end module on the Kitti dataset: http://adas.cvc.uab.es/s2uad/
I am using the following settings: 628x628 random cropping, reflection padding, 4 mini-batch size (can't fit 8 into memory), 0.001 learning rate, 0.99 momentum, SGD.
The problem is that my test loss stays around 9 without changing and the train loss just jumps between 30 and 50. The test accuracy is 0. I tried increasing the iter_size without any success. Any idea what I might be doing wrong?
The text was updated successfully, but these errors were encountered: