pytorch官方tutorial-cifar-10

[1, 2000] loss: 2.204
[1, 4000] loss: 1.842
[1, 6000] loss: 1.676
[1, 8000] loss: 1.591
[1, 10000] loss: 1.507
[1, 12000] loss: 1.449

[2, 2000] loss: 1.380
[2, 4000] loss: 1.359
[2, 6000] loss: 1.311
[2, 8000] loss: 1.310
[2, 10000] loss: 1.273
[2, 12000] loss: 1.274
Finished Training

GroundTruth: ship car horse deer
Predicted: car car horse cat

Accuracy of the network on the 10000 test images: 57 %

Accuracy for class: plane is 63.9 %
Accuracy for class: car is 86.6 %
Accuracy for class: bird is 36.3 %
Accuracy for class: cat is 37.1 %
Accuracy for class: deer is 36.0 %
Accuracy for class: dog is 44.4 %
Accuracy for class: frog is 68.4 %
Accuracy for class: horse is 75.3 %
Accuracy for class: ship is 75.0 %
Accuracy for class: truck is 56.8 %