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I used two categories for testing, and the result was 0. In addition, I also used these two categories to train the model, with an accuracy of 100%, but the acc_ema was 0. Why is that the case?
[2025-01-09 13:01:32 vssm1_base_0229](main.py 340): INFO Test: [0/3] Time 6.340 (6.340) Loss 8.9609 (8.9609) Acc@1 0.000 (0.000) Acc@5 0.000 (0.000) Mem 18426MB
[2025-01-09 13:01:35 vssm1_base_0229](main.py 347): INFO * Acc@1 0.000 Acc@5 0.000
[2025-01-09 13:01:35 vssm1_base_0229](main.py 185): INFO Accuracy of the network on the 337 test images: 0.0%
[2025-01-09 13:01:39 vssm1_base_0229](main.py 340): INFO Test: [0/3] Time 4.610 (4.610) Loss 8.9609 (8.9609) Acc@1 0.000 (0.000) Acc@5 0.000 (0.000) Mem 18426MB
[2025-01-09 13:01:40 vssm1_base_0229](main.py 347): INFO * Acc@1 0.000 Acc@5 0.000
[2025-01-09 13:01:40 vssm1_base_0229](main.py 188): INFO Accuracy of the network ema on the 337 test images: 0.0%
The text was updated successfully, but these errors were encountered:
I used two categories for testing, and the result was 0. In addition, I also used these two categories to train the model, with an accuracy of 100%, but the acc_ema was 0. Why is that the case?
[2025-01-09 13:01:32 vssm1_base_0229](main.py 340): INFO Test: [0/3] Time 6.340 (6.340) Loss 8.9609 (8.9609) Acc@1 0.000 (0.000) Acc@5 0.000 (0.000) Mem 18426MB
[2025-01-09 13:01:35 vssm1_base_0229](main.py 347): INFO * Acc@1 0.000 Acc@5 0.000
[2025-01-09 13:01:35 vssm1_base_0229](main.py 185): INFO Accuracy of the network on the 337 test images: 0.0%
[2025-01-09 13:01:39 vssm1_base_0229](main.py 340): INFO Test: [0/3] Time 4.610 (4.610) Loss 8.9609 (8.9609) Acc@1 0.000 (0.000) Acc@5 0.000 (0.000) Mem 18426MB
[2025-01-09 13:01:40 vssm1_base_0229](main.py 347): INFO * Acc@1 0.000 Acc@5 0.000
[2025-01-09 13:01:40 vssm1_base_0229](main.py 188): INFO Accuracy of the network ema on the 337 test images: 0.0%
The text was updated successfully, but these errors were encountered: