Training:
Epoch 0/29
----------
train Loss: 1.8117
Real Acc: 29.6452%
val Loss: 1.3998
Real Acc: 45.2500%

Epoch 1/29
----------
train Loss: 1.2325
Real Acc: 52.5357%
val Loss: 1.1055
Real Acc: 56.9929%

Epoch 2/29
----------
train Loss: 1.0010
Real Acc: 61.8238%
val Loss: 0.9425
Real Acc: 64.6143%

Epoch 3/29
----------
train Loss: 0.8432
Real Acc: 68.4690%
val Loss: 0.8475
Real Acc: 68.6071%

Epoch 4/29
----------
train Loss: 0.7081
Real Acc: 74.2095%
val Loss: 0.8394
Real Acc: 69.6714%

Epoch 5/29
----------
train Loss: 0.5902
Real Acc: 78.2690%
val Loss: 0.7239
Real Acc: 73.8214%

Epoch 6/29
----------
train Loss: 0.4901
Real Acc: 81.9405%
val Loss: 0.8269
Real Acc: 71.4714%

Epoch 7/29
----------
train Loss: 0.4115
Real Acc: 84.6952%
val Loss: 0.7982
Real Acc: 74.2143%

Epoch 8/29
----------
train Loss: 0.3388
Real Acc: 87.5381%
val Loss: 0.7138
Real Acc: 76.1786%

Epoch 9/29
----------
train Loss: 0.2775
Real Acc: 89.8976%
val Loss: 0.8233
Real Acc: 74.5429%

Epoch 10/29
----------
train Loss: 0.1175
Real Acc: 96.1357%
val Loss: 0.8391
Real Acc: 77.6714%

Epoch 11/29
----------
train Loss: 0.0747
Real Acc: 97.6619%
val Loss: 0.9584
Real Acc: 76.9786%

Epoch 12/29
----------
train Loss: 0.0612
Real Acc: 98.0429%
val Loss: 1.0220
Real Acc: 76.8500%

Epoch 13/29
----------
train Loss: 0.0583
Real Acc: 98.0738%
val Loss: 1.0319
Real Acc: 76.7714%

Epoch 14/29
----------
train Loss: 0.0516
Real Acc: 98.3857%
val Loss: 1.3569
Real Acc: 73.0643%

Epoch 15/29
----------
train Loss: 0.0474
Real Acc: 98.5143%
val Loss: 1.1740
Real Acc: 76.1143%

Epoch 16/29
----------
train Loss: 0.0490
Real Acc: 98.3881%
val Loss: 1.2519
Real Acc: 74.5786%

Epoch 17/29
----------
train Loss: 0.0377
Real Acc: 98.8190%
val Loss: 1.1336
Real Acc: 77.1071%

Epoch 18/29
----------
train Loss: 0.0478
Real Acc: 98.4976%
val Loss: 1.1329
Real Acc: 77.3571%

Epoch 19/29
----------
train Loss: 0.0358
Real Acc: 98.8619%
val Loss: 1.2380
Real Acc: 76.0071%

Epoch 20/29
----------
train Loss: 0.0146
Real Acc: 99.5714%
val Loss: 1.1697
Real Acc: 77.7786%

Epoch 21/29
----------
train Loss: 0.0088
Real Acc: 99.7738%
val Loss: 1.1948
Real Acc: 77.9286%

Epoch 22/29
----------
train Loss: 0.0121
Real Acc: 99.6429%
val Loss: 1.2068
Real Acc: 78.0214%

Epoch 23/29
----------
train Loss: 0.0114
Real Acc: 99.6500%
val Loss: 1.2269
Real Acc: 77.8571%

Epoch 24/29
----------
train Loss: 0.0081
Real Acc: 99.7714%
val Loss: 1.2398
Real Acc: 78.0714%

Epoch 25/29
----------
train Loss: 0.0091
Real Acc: 99.7476%
val Loss: 1.3517
Real Acc: 76.9857%

Epoch 26/29
----------
train Loss: 0.0076
Real Acc: 99.7976%
val Loss: 1.2933
Real Acc: 77.9214%

Epoch 27/29
----------
train Loss: 0.0121
Real Acc: 99.6452%
val Loss: 1.2575
Real Acc: 78.2500%

Epoch 28/29
----------
train Loss: 0.0095
Real Acc: 99.7214%
val Loss: 1.2860
Real Acc: 78.2500%

Epoch 29/29
----------
train Loss: 0.0074
Real Acc: 99.8024%
val Loss: 1.3081
Real Acc: 77.7643%

Training complete in 1241m 24s
Best val Acc: 78.250000
[45.25, 56.99285714285715, 64.61428571428573, 68.60714285714286, 69.67142857142858, 73.82142857142858, 71.47142857142858, 74.21428571428572, 76.17857142857143, 74.54285714285714, 77.67142857142858, 76.97857142857143, 76.85000000000001, 76.77142857142857, 73.06428571428572, 76.11428571428573, 74.57857142857144, 77.10714285714286, 77.35714285714286, 76.00714285714287, 77.77857142857142, 77.92857142857143, 78.02142857142857, 77.85714285714286, 78.07142857142858, 76.9857142857143, 77.92142857142858, 78.25000000000001, 78.25000000000001, 77.76428571428572]

test C: 78.3%
test 2x2: 56.1%
test 3x3: 59.65%
test LR: 92.5%
test UD: 91.15%
test inC: 86.25%
test in2x2: 75.5%