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test.log
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test.log
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Preparing directory train_log
Using model resnet
Loading dataset imagenet from ../../QPyTorch/examples/IBM8/data/imagenet12/
=> using pre-trained model 'resnet18'
SWA training
accuracy
69.758
loss
1.2473143494415284
---- -------- --------- -------- --------- -------- ------------- ------------ ---------
ep lr tr_loss tr_acc te_loss te_acc swa_te_loss swa_te_acc time
---- -------- --------- -------- --------- -------- ------------- ------------ ---------
1 0.0000 14.0308 0.5497 1.2371 69.8060 8786.8764
accuracy
69.806
loss
1.2371169274902343
2 0.0000 14.0323 0.5471 8192.7992
accuracy
69.824
loss
1.2385469165039062
3 0.0000 14.0323 0.5551 7875.2347
accuracy
69.792
loss
1.2380775915908813
4 0.0000 14.0353 0.5563 7759.3093
accuracy
69.788
loss
1.2379955806732177
5 0.0000 14.0377 0.5503 1.2379 69.8660 1.2362 69.8380 15949.3359
accuracy
69.866
loss
1.237886040649414
6 0.0000 14.0372 0.5533 7699.9096
accuracy
69.81
loss
1.2393157048034669