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Hello, I am reproducing your work as a baseline now.
I come up with a problem that the precision (top1&top%) in the test process is always zero.
During training, the performance of this model is nomal, like "INFO:main:Epoch: [13][170/226] Time 0.329 (0.339) Data 0.000 (0.006) Class 0.2847 (0.2877) Cons 0.0917 (0.0787) Prec@1 60.000 (58.871) Prec@5 62.000 (61.994)"
But in test, it performs like "INFO:main:Test: [10/20] Time 0.100 (0.242) Data 0.000 (0.143) Class 1.8608 (1.7321) Prec@1 0.000 (0.000) Prec@5 0.000 (0.000)"
Cloud you plz help me to solve this problem?Thank you so much.
The text was updated successfully, but these errors were encountered:
Hello, I am reproducing your work as a baseline now.
I come up with a problem that the precision (top1&top%) in the test process is always zero.
During training, the performance of this model is nomal, like
"INFO:main:Epoch: [13][170/226] Time 0.329 (0.339) Data 0.000 (0.006) Class 0.2847 (0.2877) Cons 0.0917 (0.0787) Prec@1 60.000 (58.871) Prec@5 62.000 (61.994)"
But in test, it performs like
"INFO:main:Test: [10/20] Time 0.100 (0.242) Data 0.000 (0.143) Class 1.8608 (1.7321) Prec@1 0.000 (0.000) Prec@5 0.000 (0.000)"
Cloud you plz help me to solve this problem?Thank you so much.
The text was updated successfully, but these errors were encountered: