Training:
Epoch 0/29
----------
train Loss: 2.0892
Real Acc: 17.6389%
val Loss: 1.9326
Real Acc: 25.4833%

Epoch 1/29
----------
train Loss: 1.7315
Real Acc: 32.1778%
val Loss: 1.6457
Real Acc: 36.1500%

Epoch 2/29
----------
train Loss: 1.4702
Real Acc: 42.6833%
val Loss: 2.0203
Real Acc: 27.4667%

Epoch 3/29
----------
train Loss: 1.2505
Real Acc: 52.0278%
val Loss: 1.3558
Real Acc: 48.9667%

Epoch 4/29
----------
train Loss: 1.0546
Real Acc: 60.2167%
val Loss: 1.2571
Real Acc: 51.0000%

Epoch 5/29
----------
train Loss: 0.8390
Real Acc: 68.8444%
val Loss: 1.3013
Real Acc: 53.8833%

Epoch 6/29
----------
train Loss: 0.6682
Real Acc: 75.1556%
val Loss: 1.4980
Real Acc: 50.8167%

Epoch 7/29
----------
train Loss: 0.4901
Real Acc: 82.3444%
val Loss: 1.5384
Real Acc: 53.5833%

Epoch 8/29
----------
train Loss: 0.3538
Real Acc: 87.6722%
val Loss: 1.6372
Real Acc: 53.3333%

Epoch 9/29
----------
train Loss: 0.2542
Real Acc: 91.3556%
val Loss: 1.7395
Real Acc: 52.9833%

Epoch 10/29
----------
train Loss: 0.0884
Real Acc: 97.4278%
val Loss: 1.6639
Real Acc: 57.0000%

Epoch 11/29
----------
train Loss: 0.0379
Real Acc: 99.1222%
val Loss: 1.6583
Real Acc: 58.4167%

Epoch 12/29
----------
train Loss: 0.0274
Real Acc: 99.3611%
val Loss: 1.9083
Real Acc: 55.5167%

Epoch 13/29
----------
train Loss: 0.0426
Real Acc: 98.8222%
val Loss: 2.2462
Real Acc: 51.1500%

Epoch 14/29
----------
train Loss: 0.0702
Real Acc: 97.8667%
val Loss: 2.0446
Real Acc: 54.0333%

Epoch 15/29
----------
train Loss: 0.0461
Real Acc: 98.6278%
val Loss: 2.1055
Real Acc: 54.5000%

Epoch 16/29
----------
train Loss: 0.0458
Real Acc: 98.4833%
val Loss: 2.1628
Real Acc: 54.3667%

Epoch 17/29
----------
train Loss: 0.0397
Real Acc: 98.8833%
val Loss: 2.0837
Real Acc: 55.2667%

Epoch 18/29
----------
train Loss: 0.0470
Real Acc: 98.4611%
val Loss: 2.2512
Real Acc: 53.5667%

Epoch 19/29
----------
train Loss: 0.0401
Real Acc: 98.7944%
val Loss: 2.0744
Real Acc: 56.2500%

Epoch 20/29
----------
train Loss: 0.0145
Real Acc: 99.6444%
val Loss: 2.0340
Real Acc: 56.8167%

Epoch 21/29
----------
train Loss: 0.0063
Real Acc: 99.9167%
val Loss: 2.0372
Real Acc: 56.4167%

Epoch 22/29
----------
train Loss: 0.0076
Real Acc: 99.8611%
val Loss: 2.0771
Real Acc: 57.7833%

Epoch 23/29
----------
train Loss: 0.0061
Real Acc: 99.8667%
val Loss: 2.1316
Real Acc: 55.8667%

Epoch 24/29
----------
train Loss: 0.0102
Real Acc: 99.7389%
val Loss: 2.2174
Real Acc: 56.1500%

Epoch 25/29
----------
train Loss: 0.0107
Real Acc: 99.7000%
val Loss: 2.1887
Real Acc: 56.5000%

Epoch 26/29
----------
train Loss: 0.0134
Real Acc: 99.5611%
val Loss: 2.2310
Real Acc: 56.0000%

Epoch 27/29
----------
train Loss: 0.0088
Real Acc: 99.7667%
val Loss: 2.2633
Real Acc: 55.8167%

Epoch 28/29
----------
train Loss: 0.0067
Real Acc: 99.8389%
val Loss: 2.3060
Real Acc: 56.8000%

Epoch 29/29
----------
train Loss: 0.0123
Real Acc: 99.6667%
val Loss: 2.3541
Real Acc: 54.9833%

Training complete in 2756m 34s
Best val Acc: 58.416667
[25.48333333333333, 36.15, 27.46666666666667, 48.96666666666666, 51.0, 53.883333333333326, 50.81666666666666, 53.58333333333333, 53.333333333333336, 52.98333333333333, 56.99999999999999, 58.416666666666664, 55.51666666666667, 51.15, 54.03333333333333, 54.49999999999999, 54.36666666666666, 55.266666666666666, 53.56666666666666, 56.25, 56.81666666666666, 56.41666666666666, 57.78333333333333, 55.86666666666667, 56.15, 56.49999999999999, 55.99999999999999, 55.81666666666667, 56.8, 54.98333333333333]

test C: 63.65%
test 2x2: 46.05%
test in2x2: 63.5%