Training:
Epoch 0/29
----------
train Loss: 2.1230
Real Acc: 16.8750%
val Loss: 1.9262
Real Acc: 23.6750%

Epoch 1/29
----------
train Loss: 1.8372
Real Acc: 27.2417%
val Loss: 1.8918
Real Acc: 26.5500%

Epoch 2/29
----------
train Loss: 1.6258
Real Acc: 36.8750%
val Loss: 1.6465
Real Acc: 35.3750%

Epoch 3/29
----------
train Loss: 1.4209
Real Acc: 45.6250%
val Loss: 1.7011
Real Acc: 35.7250%

Epoch 4/29
----------
train Loss: 1.2073
Real Acc: 54.6250%
val Loss: 1.6938
Real Acc: 37.1250%

Epoch 5/29
----------
train Loss: 0.9438
Real Acc: 65.0917%
val Loss: 1.9575
Real Acc: 36.5500%

Epoch 6/29
----------
train Loss: 0.6336
Real Acc: 77.5750%
val Loss: 2.0388
Real Acc: 37.4500%

Epoch 7/29
----------
train Loss: 0.3943
Real Acc: 86.8000%
val Loss: 2.3201
Real Acc: 36.9500%

Epoch 8/29
----------
train Loss: 0.2613
Real Acc: 91.4667%
val Loss: 2.2755
Real Acc: 39.6750%

Epoch 9/29
----------
train Loss: 0.2045
Real Acc: 93.4667%
val Loss: 2.4490
Real Acc: 38.8000%

Epoch 10/29
----------
train Loss: 0.0732
Real Acc: 98.1167%
val Loss: 2.2130
Real Acc: 40.9000%

Epoch 11/29
----------
train Loss: 0.0247
Real Acc: 99.6667%
val Loss: 2.2236
Real Acc: 41.2000%

Epoch 12/29
----------
train Loss: 0.0158
Real Acc: 99.8083%
val Loss: 2.3184
Real Acc: 40.5500%

Epoch 13/29
----------
train Loss: 0.0133
Real Acc: 99.8750%
val Loss: 2.4108
Real Acc: 40.2250%

Epoch 14/29
----------
train Loss: 0.0142
Real Acc: 99.7833%
val Loss: 2.5045
Real Acc: 39.5500%

Epoch 15/29
----------
train Loss: 0.0309
Real Acc: 99.1917%
val Loss: 2.7744
Real Acc: 37.6250%

Epoch 16/29
----------
train Loss: 0.0659
Real Acc: 98.0250%
val Loss: 2.8349
Real Acc: 37.9750%

Epoch 17/29
----------
train Loss: 0.0571
Real Acc: 98.2917%
val Loss: 2.7116
Real Acc: 37.9750%

Epoch 18/29
----------
train Loss: 0.0387
Real Acc: 98.9500%
val Loss: 2.7366
Real Acc: 38.2250%

Epoch 19/29
----------
train Loss: 0.0225
Real Acc: 99.5167%
val Loss: 2.8282
Real Acc: 39.0250%

Epoch 20/29
----------
train Loss: 0.0123
Real Acc: 99.7583%
val Loss: 2.6027
Real Acc: 40.0250%

Epoch 21/29
----------
train Loss: 0.0053
Real Acc: 99.9583%
val Loss: 2.6537
Real Acc: 39.8500%

Epoch 22/29
----------
train Loss: 0.0044
Real Acc: 99.9333%
val Loss: 2.6575
Real Acc: 40.0250%

Epoch 23/29
----------
train Loss: 0.0055
Real Acc: 99.9583%
val Loss: 2.6503
Real Acc: 40.5250%

Epoch 24/29
----------
train Loss: 0.0030
Real Acc: 99.9917%
val Loss: 2.6714
Real Acc: 39.6750%

Epoch 25/29
----------
train Loss: 0.0030
Real Acc: 99.9833%
val Loss: 2.7484
Real Acc: 39.3750%

Epoch 26/29
----------
train Loss: 0.0032
Real Acc: 99.9833%
val Loss: 2.8964
Real Acc: 38.5250%

Epoch 27/29
----------
train Loss: 0.0107
Real Acc: 99.8333%
val Loss: 2.9300
Real Acc: 37.9500%

Epoch 28/29
----------
train Loss: 0.0112
Real Acc: 99.7583%
val Loss: 2.9663
Real Acc: 37.3500%

Epoch 29/29
----------
train Loss: 0.0119
Real Acc: 99.6500%
val Loss: 3.0567
Real Acc: 38.7500%

Training complete in 353m 59s
Best val Acc: 41.200000
[23.675, 26.55, 35.375, 35.725, 37.125, 36.55, 37.45, 36.95, 39.675, 38.800000000000004, 40.900000000000006, 41.2, 40.550000000000004, 40.225, 39.550000000000004, 37.625, 37.975, 37.975, 38.225, 39.025, 40.025, 39.85, 40.025, 40.525, 39.675, 39.375, 38.525, 37.95, 37.35, 38.75]

test 2x2: 37.15%
test 3x3: 40.45%