Training:
Epoch 0/29
----------
train Loss: 1.8342
Real Acc: 29.1967%
val Loss: 1.4758
Real Acc: 43.8300%

Epoch 1/29
----------
train Loss: 1.2343
Real Acc: 53.3900%
val Loss: 1.2961
Real Acc: 54.0900%

Epoch 2/29
----------
train Loss: 0.9210
Real Acc: 65.3700%
val Loss: 0.9473
Real Acc: 63.9900%

Epoch 3/29
----------
train Loss: 0.7396
Real Acc: 71.1833%
val Loss: 0.7778
Real Acc: 69.9700%

Epoch 4/29
----------
train Loss: 0.6195
Real Acc: 75.2833%
val Loss: 0.9753
Real Acc: 64.8000%

Epoch 5/29
----------
train Loss: 0.5329
Real Acc: 77.7333%
val Loss: 0.6934
Real Acc: 72.6900%

Epoch 6/29
----------
train Loss: 0.4692
Real Acc: 79.7700%
val Loss: 0.8481
Real Acc: 70.1700%

Epoch 7/29
----------
train Loss: 0.4202
Real Acc: 81.4900%
val Loss: 0.9193
Real Acc: 68.0500%

Epoch 8/29
----------
train Loss: 0.3776
Real Acc: 83.2900%
val Loss: 0.8588
Real Acc: 71.1700%

Epoch 9/29
----------
train Loss: 0.3366
Real Acc: 85.3333%
val Loss: 0.7739
Real Acc: 73.5000%

Epoch 10/29
----------
train Loss: 0.1913
Real Acc: 91.9800%
val Loss: 0.7291
Real Acc: 77.6800%

Epoch 11/29
----------
train Loss: 0.1239
Real Acc: 95.4367%
val Loss: 0.6877
Real Acc: 80.3000%

Epoch 12/29
----------
train Loss: 0.0820
Real Acc: 97.3967%
val Loss: 0.8322
Real Acc: 77.5800%

Epoch 13/29
----------
train Loss: 0.0633
Real Acc: 97.9367%
val Loss: 1.5432
Real Acc: 70.6100%

Epoch 14/29
----------
train Loss: 0.0553
Real Acc: 98.2167%
val Loss: 0.9170
Real Acc: 78.8900%

Epoch 15/29
----------
train Loss: 0.0615
Real Acc: 97.9900%
val Loss: 0.9225
Real Acc: 77.6000%

Epoch 16/29
----------
train Loss: 0.0376
Real Acc: 98.8067%
val Loss: 0.9091
Real Acc: 78.8600%

Epoch 17/29
----------
train Loss: 0.0368
Real Acc: 98.7767%
val Loss: 1.0551
Real Acc: 77.9200%

Epoch 18/29
----------
train Loss: 0.0467
Real Acc: 98.4867%
val Loss: 0.9245
Real Acc: 78.8400%

Epoch 19/29
----------
train Loss: 0.0343
Real Acc: 98.8800%
val Loss: 0.9844
Real Acc: 78.3700%

Epoch 20/29
----------
train Loss: 0.0122
Real Acc: 99.6867%
val Loss: 0.8754
Real Acc: 80.4900%

Epoch 21/29
----------
train Loss: 0.0056
Real Acc: 99.8933%
val Loss: 0.9060
Real Acc: 80.8600%

Epoch 22/29
----------
train Loss: 0.0077
Real Acc: 99.7933%
val Loss: 0.9686
Real Acc: 80.4900%

Epoch 23/29
----------
train Loss: 0.0111
Real Acc: 99.7100%
val Loss: 0.9951
Real Acc: 79.9200%

Epoch 24/29
----------
train Loss: 0.0099
Real Acc: 99.7000%
val Loss: 0.9891
Real Acc: 79.8500%

Epoch 25/29
----------
train Loss: 0.0101
Real Acc: 99.7133%
val Loss: 0.9723
Real Acc: 80.8000%

Epoch 26/29
----------
train Loss: 0.0074
Real Acc: 99.8033%
val Loss: 1.0782
Real Acc: 79.5400%

Epoch 27/29
----------
train Loss: 0.0118
Real Acc: 99.6367%
val Loss: 1.0159
Real Acc: 80.0500%

Epoch 28/29
----------
train Loss: 0.0076
Real Acc: 99.7800%
val Loss: 1.0869
Real Acc: 79.4800%

Epoch 29/29
----------
train Loss: 0.0119
Real Acc: 99.6500%
val Loss: 0.9964
Real Acc: 80.2100%

Training complete in 888m 9s
Best val Acc: 80.860000
[43.830000000000005, 54.09, 63.99, 69.97, 64.8, 72.69, 70.17, 68.05, 71.17, 73.5, 77.68, 80.30000000000001, 77.58, 70.61, 78.89, 77.60000000000001, 78.86000000000001, 77.92, 78.84, 78.37, 80.49000000000001, 80.86, 80.49000000000001, 79.92, 79.85, 80.80000000000001, 79.54, 80.05, 79.48, 80.21000000000001]

test C: 73.55%   
test 2x2: 47.15%
test 3x3: 43.9%
test LR: 85.25%
test UD: 85.75%
test inC: 82.5%
test in2x2: 71.8%