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When executed (python cifar10_train.py --version='test') with the given hyper-params, I get the following top1 accuracies:
Train top1 error = 0.0078125 Validation top1 error = 0.1641 Validation loss = 0.650083
The validation error of 16.41% is way off the 3.65% number mentioned in the paper (Table 7). Any idea of what is going wrong?
The text was updated successfully, but these errors were encountered:
excuse me.I met the same problem as you.Did you solve the problem? I haved tried 4 ways to run the code
'python cifar10_train.py --version='test'' 'python cifar10_train.py --version='test',num_resnext_blocks=3,cardinality=4' 'python cifar10_train.py --version='test',num_resnext_blocks=3,cardinality=8' 'python cifar10_train.py --version='test',num_resnext_blocks=2,cardinality=64'
The validation error is still about 16%
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When executed (python cifar10_train.py --version='test') with the given hyper-params, I get the following top1 accuracies:
Train top1 error = 0.0078125
Validation top1 error = 0.1641
Validation loss = 0.650083
The validation error of 16.41% is way off the 3.65% number mentioned in the paper (Table 7).
Any idea of what is going wrong?
The text was updated successfully, but these errors were encountered: