Training:
Epoch 0/29
----------
train Loss: 2.0539
Real Acc: 19.3278%
val Loss: 1.8119
Real Acc: 28.9333%

Epoch 1/29
----------
train Loss: 1.6557
Real Acc: 34.3111%
val Loss: 1.5727
Real Acc: 36.9667%

Epoch 2/29
----------
train Loss: 1.3739
Real Acc: 46.0611%
val Loss: 1.4511
Real Acc: 43.2000%

Epoch 3/29
----------
train Loss: 1.1436
Real Acc: 55.1611%
val Loss: 1.2752
Real Acc: 48.5833%

Epoch 4/29
----------
train Loss: 0.9429
Real Acc: 63.9000%
val Loss: 1.2492
Real Acc: 50.5667%

Epoch 5/29
----------
train Loss: 0.7331
Real Acc: 72.7111%
val Loss: 1.2923
Real Acc: 52.5500%

Epoch 6/29
----------
train Loss: 0.5545
Real Acc: 79.5278%
val Loss: 1.3838
Real Acc: 52.3667%

Epoch 7/29
----------
train Loss: 0.4269
Real Acc: 85.1278%
val Loss: 1.5398
Real Acc: 51.4167%

Epoch 8/29
----------
train Loss: 0.2941
Real Acc: 90.0667%
val Loss: 1.5973
Real Acc: 53.0167%

Epoch 9/29
----------
train Loss: 0.2400
Real Acc: 91.7778%
val Loss: 1.7691
Real Acc: 52.9000%

Epoch 10/29
----------
train Loss: 0.0919
Real Acc: 97.3444%
val Loss: 1.5886
Real Acc: 55.8500%

Epoch 11/29
----------
train Loss: 0.0384
Real Acc: 99.0167%
val Loss: 1.6653
Real Acc: 55.5500%

Epoch 12/29
----------
train Loss: 0.0303
Real Acc: 99.3333%
val Loss: 1.7463
Real Acc: 55.6167%

Epoch 13/29
----------
train Loss: 0.0326
Real Acc: 99.0944%
val Loss: 2.0187
Real Acc: 53.0333%

Epoch 14/29
----------
train Loss: 0.0600
Real Acc: 98.1500%
val Loss: 2.0430
Real Acc: 53.4167%

Epoch 15/29
----------
train Loss: 0.0501
Real Acc: 98.4500%
val Loss: 2.0935
Real Acc: 53.6333%

Epoch 16/29
----------
train Loss: 0.0400
Real Acc: 98.7222%
val Loss: 2.4769
Real Acc: 51.1000%

Epoch 17/29
----------
train Loss: 0.0445
Real Acc: 98.5889%
val Loss: 2.2567
Real Acc: 51.8333%

Epoch 18/29
----------
train Loss: 0.0480
Real Acc: 98.4833%
val Loss: 2.2111
Real Acc: 52.4667%

Epoch 19/29
----------
train Loss: 0.0444
Real Acc: 98.6556%
val Loss: 2.0955
Real Acc: 54.5167%

Epoch 20/29
----------
train Loss: 0.0176
Real Acc: 99.4944%
val Loss: 1.9771
Real Acc: 56.0167%

Epoch 21/29
----------
train Loss: 0.0070
Real Acc: 99.8944%
val Loss: 2.0883
Real Acc: 55.4500%

Epoch 22/29
----------
train Loss: 0.0062
Real Acc: 99.9167%
val Loss: 2.0665
Real Acc: 55.9667%

Epoch 23/29
----------
train Loss: 0.0064
Real Acc: 99.8556%
val Loss: 2.0858
Real Acc: 55.0667%

Epoch 24/29
----------
train Loss: 0.0083
Real Acc: 99.8278%
val Loss: 2.0980
Real Acc: 56.0167%

Epoch 25/29
----------
train Loss: 0.0134
Real Acc: 99.6111%
val Loss: 2.1394
Real Acc: 55.0833%

Epoch 26/29
----------
train Loss: 0.0096
Real Acc: 99.7611%
val Loss: 2.1851
Real Acc: 54.8500%

Epoch 27/29
----------
train Loss: 0.0084
Real Acc: 99.7722%
val Loss: 2.2850
Real Acc: 53.9000%

Epoch 28/29
----------
train Loss: 0.0062
Real Acc: 99.8667%
val Loss: 2.2271
Real Acc: 54.2000%

Epoch 29/29
----------
train Loss: 0.0115
Real Acc: 99.6056%
val Loss: 2.3429
Real Acc: 55.1167%

Training complete in 537m 24s
Best val Acc: 56.016667
[28.933333333333334, 36.96666666666666, 43.2, 48.583333333333336, 50.56666666666666, 52.55, 52.36666666666666, 51.416666666666664, 53.016666666666666, 52.900000000000006, 55.85, 55.55, 55.61666666666667, 53.03333333333333, 53.41666666666667, 53.63333333333333, 51.1, 51.83333333333333, 52.46666666666666, 54.516666666666666, 56.01666666666667, 55.45, 55.96666666666666, 55.06666666666666, 56.01666666666667, 55.08333333333333, 54.85, 53.900000000000006, 54.2, 55.11666666666667]

test C: 56.4%    
test 3x3: 48.15%
test in2x2: 62.9%