Training:
Epoch 0/29
----------
train Loss: 1.9593
Real Acc: 23.8667%
val Loss: 1.9779
Real Acc: 32.3750%

Epoch 1/29
----------
train Loss: 1.3068
Real Acc: 48.5667%
val Loss: 1.4099
Real Acc: 45.3250%

Epoch 2/29
----------
train Loss: 0.9464
Real Acc: 62.5583%
val Loss: 1.1938
Real Acc: 54.6000%

Epoch 3/29
----------
train Loss: 0.7009
Real Acc: 72.4333%
val Loss: 1.1747
Real Acc: 56.6500%

Epoch 4/29
----------
train Loss: 0.5188
Real Acc: 80.5333%
val Loss: 1.1880
Real Acc: 58.9250%

Epoch 5/29
----------
train Loss: 0.3988
Real Acc: 85.7083%
val Loss: 1.4365
Real Acc: 61.0250%

Epoch 6/29
----------
train Loss: 0.2747
Real Acc: 90.1417%
val Loss: 1.1460
Real Acc: 61.8000%

Epoch 7/29
----------
train Loss: 0.2087
Real Acc: 92.8667%
val Loss: 1.3539
Real Acc: 59.9000%

Epoch 8/29
----------
train Loss: 0.2017
Real Acc: 92.8917%
val Loss: 1.5921
Real Acc: 57.8500%

Epoch 9/29
----------
train Loss: 0.1391
Real Acc: 95.4583%
val Loss: 1.9797
Real Acc: 55.9000%

Epoch 10/29
----------
train Loss: 0.0554
Real Acc: 98.4250%
val Loss: 1.2120
Real Acc: 67.7500%

Epoch 11/29
----------
train Loss: 0.0250
Real Acc: 99.2750%
val Loss: 1.1051
Real Acc: 70.1250%

Epoch 12/29
----------
train Loss: 0.0192
Real Acc: 99.5417%
val Loss: 1.1697
Real Acc: 69.8750%

Epoch 13/29
----------
train Loss: 0.0304
Real Acc: 99.1000%
val Loss: 1.7426
Real Acc: 61.7250%

Epoch 14/29
----------
train Loss: 0.0279
Real Acc: 99.2000%
val Loss: 1.3115
Real Acc: 67.3000%

Epoch 15/29
----------
train Loss: 0.0444
Real Acc: 98.5833%
val Loss: 1.2767
Real Acc: 67.5750%

Epoch 16/29
----------
train Loss: 0.0356
Real Acc: 98.8750%
val Loss: 1.3935
Real Acc: 67.2000%

Epoch 17/29
----------
train Loss: 0.0404
Real Acc: 98.6750%
val Loss: 1.3831
Real Acc: 67.6250%

Epoch 18/29
----------
train Loss: 0.0261
Real Acc: 99.2000%
val Loss: 1.4383
Real Acc: 65.9000%

Epoch 19/29
----------
train Loss: 0.0286
Real Acc: 99.1917%
val Loss: 1.7621
Real Acc: 63.2500%

Epoch 20/29
----------
train Loss: 0.0152
Real Acc: 99.5583%
val Loss: 1.2759
Real Acc: 68.9250%

Epoch 21/29
----------
train Loss: 0.0064
Real Acc: 99.8583%
val Loss: 1.2388
Real Acc: 70.4250%

Epoch 22/29
----------
train Loss: 0.0046
Real Acc: 99.9000%
val Loss: 1.3351
Real Acc: 69.6750%

Epoch 23/29
----------
train Loss: 0.0044
Real Acc: 99.9417%
val Loss: 1.3020
Real Acc: 69.9750%

Epoch 24/29
----------
train Loss: 0.0025
Real Acc: 99.9583%
val Loss: 1.2955
Real Acc: 70.0250%

Epoch 25/29
----------
train Loss: 0.0037
Real Acc: 99.9333%
val Loss: 1.3071
Real Acc: 69.5750%

Epoch 26/29
----------
train Loss: 0.0116
Real Acc: 99.7083%
val Loss: 1.6277
Real Acc: 66.0000%

Epoch 27/29
----------
train Loss: 0.0142
Real Acc: 99.5500%
val Loss: 1.4722
Real Acc: 69.2000%

Epoch 28/29
----------
train Loss: 0.0049
Real Acc: 99.9333%
val Loss: 1.4342
Real Acc: 68.6250%

Epoch 29/29
----------
train Loss: 0.0052
Real Acc: 99.8667%
val Loss: 1.3860
Real Acc: 69.1250%

Training complete in 380m 24s
Best val Acc: 70.425000
[32.375, 45.324999999999996, 54.6, 56.65, 58.925000000000004, 61.025, 61.8, 59.9, 57.85, 55.900000000000006, 67.75, 70.125, 69.875, 61.724999999999994, 67.30000000000001, 67.575, 67.2, 67.625, 65.9, 63.25000000000001, 68.925, 70.42500000000001, 69.675, 69.975, 70.025, 69.575, 66.0, 69.2, 68.625, 69.125]

test inC: 73.25%
test in2x2: 70.25%