SVHNClassifier-PyTorch
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Issue evaluating
The model's evaluation accuracy maintains 0.00% throughout the entire training process. The model's loss decreases significantly but when evaluating on the validation set it returns 0% accuracy. No code was modified to perform training. Any idea of what the issue may be?
I got the same problem. Any solutions?
If you’re using Python 2, try to replace with float(len(self._loader.dataset)) at evaluator.py #47, or you could check the value of num_corrects