loocv transfer learning

[jalal@goku official_tut]$ python exp_loocv.py
dataset size is:  {'train': 10}
Using sample 0 as test data
Batch 0
Epoch 0/1
----------
train Loss: 0.0537 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0377 Acc: 0.1000

Training complete in 0m 0s
Batch 1
Epoch 0/1
----------
train Loss: 0.1477 Acc: 0.0000

Epoch 1/1
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train Loss: 0.1295 Acc: 0.0000

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Batch 2
Epoch 0/1
----------
train Loss: 0.0534 Acc: 0.1000

Epoch 1/1
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train Loss: 0.0660 Acc: 0.1000

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Batch 3
Epoch 0/1
----------
train Loss: 0.0765 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0560 Acc: 0.1000

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Batch 4
Epoch 0/1
----------
train Loss: 0.0840 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0843 Acc: 0.0000

Training complete in 0m 0s
Batch 5
Epoch 0/1
----------
train Loss: 0.0555 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0551 Acc: 0.1000

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Batch 6
Epoch 0/1
----------
train Loss: 0.0888 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0875 Acc: 0.0000

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Batch 7
Epoch 0/1
----------
train Loss: 0.0572 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0572 Acc: 0.1000

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Batch 8
Epoch 0/1
----------
train Loss: 0.0795 Acc: 0.0000

Epoch 1/1
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train Loss: 0.0793 Acc: 0.0000

Training complete in 0m 0s
torch.Size([1, 3, 224, 224])
Using sample 1 as test data
Batch 0
Epoch 0/1
----------
train Loss: 0.0550 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0551 Acc: 0.1000

Training complete in 0m 0s
Batch 1
Epoch 0/1
----------
train Loss: 0.0587 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0584 Acc: 0.1000

Training complete in 0m 0s
Batch 2
Epoch 0/1
----------
train Loss: 0.0788 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0788 Acc: 0.0000

Training complete in 0m 0s
Batch 3
Epoch 0/1
----------
train Loss: 0.0809 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0809 Acc: 0.0000

Training complete in 0m 0s
Batch 4
Epoch 0/1
----------
train Loss: 0.0822 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0822 Acc: 0.0000

Training complete in 0m 0s
Batch 5
Epoch 0/1
----------
train Loss: 0.0813 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0813 Acc: 0.0000

Training complete in 0m 0s
Batch 6
Epoch 0/1
----------
train Loss: 0.0832 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0832 Acc: 0.0000

Training complete in 0m 0s
Batch 7
Epoch 0/1
----------
train Loss: 0.0577 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0577 Acc: 0.1000

Training complete in 0m 0s
Batch 8
Epoch 0/1
----------
train Loss: 0.0594 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0594 Acc: 0.1000

Training complete in 0m 0s
torch.Size([1, 3, 224, 224])
Using sample 2 as test data
Batch 0
Epoch 0/1
----------
train Loss: 0.0572 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0572 Acc: 0.1000

Training complete in 0m 0s
Batch 1
Epoch 0/1
----------
train Loss: 0.0808 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0808 Acc: 0.0000

Training complete in 0m 0s
Batch 2
Epoch 0/1
----------
train Loss: 0.0799 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0799 Acc: 0.0000

Training complete in 0m 0s
Batch 3
Epoch 0/1
----------
train Loss: 0.0579 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0579 Acc: 0.1000

Training complete in 0m 0s
Batch 4
Epoch 0/1
----------
train Loss: 0.0844 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0844 Acc: 0.0000

Training complete in 0m 0s
Batch 5
Epoch 0/1
----------
train Loss: 0.0586 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0586 Acc: 0.1000

Training complete in 0m 0s
Batch 6
Epoch 0/1
----------
train Loss: 0.0818 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0818 Acc: 0.0000

Training complete in 0m 0s
Batch 7
Epoch 0/1
----------
train Loss: 0.0590 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0590 Acc: 0.1000

Training complete in 0m 0s
Batch 8
Epoch 0/1
----------
train Loss: 0.0833 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0833 Acc: 0.0000

Training complete in 0m 0s
torch.Size([1, 3, 224, 224])
Using sample 3 as test data
Batch 0
Epoch 0/1
----------
train Loss: 0.0581 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0581 Acc: 0.1000

Training complete in 0m 0s
Batch 1
Epoch 0/1
----------
train Loss: 0.0843 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0843 Acc: 0.0000

Training complete in 0m 0s
Batch 2
Epoch 0/1
----------
train Loss: 0.0809 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0809 Acc: 0.0000

Training complete in 0m 0s
Batch 3
Epoch 0/1
----------
train Loss: 0.0590 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0590 Acc: 0.1000

Training complete in 0m 0s
Batch 4
Epoch 0/1
----------
train Loss: 0.0777 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0777 Acc: 0.0000

Training complete in 0m 0s
Batch 5
Epoch 0/1
----------
train Loss: 0.0811 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0811 Acc: 0.0000

Training complete in 0m 0s
Batch 6
Epoch 0/1
----------
train Loss: 0.0569 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0569 Acc: 0.1000

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Batch 7
Epoch 0/1
----------
train Loss: 0.0570 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0570 Acc: 0.1000

Training complete in 0m 0s
Batch 8
Epoch 0/1
----------
train Loss: 0.0803 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0803 Acc: 0.0000

Training complete in 0m 0s
torch.Size([1, 3, 224, 224])
Using sample 4 as test data
Batch 0
Epoch 0/1
----------
train Loss: 0.0588 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0588 Acc: 0.1000

Training complete in 0m 0s
Batch 1
Epoch 0/1
----------
train Loss: 0.0833 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0833 Acc: 0.0000

Training complete in 0m 0s
Batch 2
Epoch 0/1
----------
train Loss: 0.0609 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0609 Acc: 0.1000

Training complete in 0m 0s
Batch 3
Epoch 0/1
----------
train Loss: 0.0815 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0815 Acc: 0.0000

Training complete in 0m 0s
Batch 4
Epoch 0/1
----------
train Loss: 0.0812 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0812 Acc: 0.0000

Training complete in 0m 0s
Batch 5
Epoch 0/1
----------
train Loss: 0.0826 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0826 Acc: 0.0000

Training complete in 0m 0s
Batch 6
Epoch 0/1
----------
train Loss: 0.0558 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0558 Acc: 0.1000

Training complete in 0m 0s
Batch 7
Epoch 0/1
----------
train Loss: 0.0843 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0843 Acc: 0.0000

Training complete in 0m 0s
Batch 8
Epoch 0/1
----------
train Loss: 0.0563 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0563 Acc: 0.1000

Training complete in 0m 0s
torch.Size([1, 3, 224, 224])
Using sample 5 as test data
Batch 0
Epoch 0/1
----------
train Loss: 0.0822 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0822 Acc: 0.0000

Training complete in 0m 0s
Batch 1
Epoch 0/1
----------
train Loss: 0.0805 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0805 Acc: 0.0000

Training complete in 0m 0s
Batch 2
Epoch 0/1
----------
train Loss: 0.0825 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0825 Acc: 0.0000

Training complete in 0m 0s
Batch 3
Epoch 0/1
----------
train Loss: 0.0587 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0587 Acc: 0.1000

Training complete in 0m 0s
Batch 4
Epoch 0/1
----------
train Loss: 0.0819 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0819 Acc: 0.0000

Training complete in 0m 0s
Batch 5
Epoch 0/1
----------
train Loss: 0.0591 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0591 Acc: 0.1000

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Batch 6
Epoch 0/1
----------
train Loss: 0.0578 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0578 Acc: 0.1000

Training complete in 0m 0s
Batch 7
Epoch 0/1
----------
train Loss: 0.0579 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0579 Acc: 0.1000

Training complete in 0m 0s
Batch 8
Epoch 0/1
----------
train Loss: 0.0590 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0590 Acc: 0.1000

Training complete in 0m 0s
torch.Size([1, 3, 224, 224])
Using sample 6 as test data
Batch 0
Epoch 0/1
----------
train Loss: 0.0820 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0820 Acc: 0.0000

Training complete in 0m 0s
Batch 1
Epoch 0/1
----------
train Loss: 0.0581 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0581 Acc: 0.1000

Training complete in 0m 0s
Batch 2
Epoch 0/1
----------
train Loss: 0.0836 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0836 Acc: 0.0000

Training complete in 0m 0s
Batch 3
Epoch 0/1
----------
train Loss: 0.0586 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0586 Acc: 0.1000

Training complete in 0m 0s
Batch 4
Epoch 0/1
----------
train Loss: 0.0579 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0579 Acc: 0.1000

Training complete in 0m 0s
Batch 5
Epoch 0/1
----------
train Loss: 0.0801 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0801 Acc: 0.0000

Training complete in 0m 0s
Batch 6
Epoch 0/1
----------
train Loss: 0.0572 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0572 Acc: 0.1000

Training complete in 0m 0s
Batch 7
Epoch 0/1
----------
train Loss: 0.0821 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0821 Acc: 0.0000

Training complete in 0m 0s
Batch 8
Epoch 0/1
----------
train Loss: 0.0565 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0565 Acc: 0.1000

Training complete in 0m 0s
torch.Size([1, 3, 224, 224])
Using sample 7 as test data
Batch 0
Epoch 0/1
----------
train Loss: 0.0801 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0801 Acc: 0.0000

Training complete in 0m 0s
Batch 1
Epoch 0/1
----------
train Loss: 0.0594 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0594 Acc: 0.1000

Training complete in 0m 0s
Batch 2
Epoch 0/1
----------
train Loss: 0.0563 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0563 Acc: 0.1000

Training complete in 0m 0s
Batch 3
Epoch 0/1
----------
train Loss: 0.0587 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0587 Acc: 0.1000

Training complete in 0m 0s
Batch 4
Epoch 0/1
----------
train Loss: 0.0801 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0801 Acc: 0.0000

Training complete in 0m 0s
Batch 5
Epoch 0/1
----------
train Loss: 0.0822 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0822 Acc: 0.0000

Training complete in 0m 0s
Batch 6
Epoch 0/1
----------
train Loss: 0.0588 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0588 Acc: 0.1000

Training complete in 0m 0s
Batch 7
Epoch 0/1
----------
train Loss: 0.0806 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0806 Acc: 0.0000

Training complete in 0m 0s
Batch 8
Epoch 0/1
----------
train Loss: 0.0590 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0590 Acc: 0.1000

Training complete in 0m 0s
torch.Size([1, 3, 224, 224])
Using sample 8 as test data
Batch 0
Epoch 0/1
----------
train Loss: 0.0555 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0555 Acc: 0.1000

Training complete in 0m 0s
Batch 1
Epoch 0/1
----------
train Loss: 0.0555 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0555 Acc: 0.1000

Training complete in 0m 0s
Batch 2
Epoch 0/1
----------
train Loss: 0.0819 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0819 Acc: 0.0000

Training complete in 0m 0s
Batch 3
Epoch 0/1
----------
train Loss: 0.0590 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0590 Acc: 0.1000

Training complete in 0m 0s
Batch 4
Epoch 0/1
----------
train Loss: 0.0809 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0809 Acc: 0.0000

Training complete in 0m 0s
Batch 5
Epoch 0/1
----------
train Loss: 0.0813 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0813 Acc: 0.0000

Training complete in 0m 0s
Batch 6
Epoch 0/1
----------
train Loss: 0.0591 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0591 Acc: 0.1000

Training complete in 0m 0s
Batch 7
Epoch 0/1
----------
train Loss: 0.0591 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0591 Acc: 0.1000

Training complete in 0m 0s
Batch 8
Epoch 0/1
----------
train Loss: 0.0832 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0832 Acc: 0.0000

Training complete in 0m 0s
torch.Size([1, 3, 224, 224])
Using sample 9 as test data
Batch 0
Epoch 0/1
----------
train Loss: 0.0827 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0827 Acc: 0.0000

Training complete in 0m 0s
Batch 1
Epoch 0/1
----------
train Loss: 0.0583 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0583 Acc: 0.1000

Training complete in 0m 0s
Batch 2
Epoch 0/1
----------
train Loss: 0.0571 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0571 Acc: 0.1000

Training complete in 0m 0s
Batch 3
Epoch 0/1
----------
train Loss: 0.0589 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0589 Acc: 0.1000

Training complete in 0m 0s
Batch 4
Epoch 0/1
----------
train Loss: 0.0799 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0799 Acc: 0.0000

Training complete in 0m 0s
Batch 5
Epoch 0/1
----------
train Loss: 0.0817 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0817 Acc: 0.0000

Training complete in 0m 0s
Batch 6
Epoch 0/1
----------
train Loss: 0.0822 Acc: 0.0000

Epoch 1/1
----------
train Loss: 0.0822 Acc: 0.0000

Training complete in 0m 0s
Batch 7
Epoch 0/1
----------
train Loss: 0.0581 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0581 Acc: 0.1000

Training complete in 0m 0s
Batch 8
Epoch 0/1
----------
train Loss: 0.0575 Acc: 0.1000

Epoch 1/1
----------
train Loss: 0.0575 Acc: 0.1000

Training complete in 0m 0s
torch.Size([1, 3, 224, 224])
[jalal@goku official_tut]$