Training:
Epoch 0/29
----------
train Loss: 1.8741
Real Acc: 27.6083%
val Loss: 1.5916
Real Acc: 40.1583%

Epoch 1/29
----------
train Loss: 1.4798
Real Acc: 43.2667%
val Loss: 1.3486
Real Acc: 48.2417%

Epoch 2/29
----------
train Loss: 1.2928
Real Acc: 49.5139%
val Loss: 1.2452
Real Acc: 51.4750%

Epoch 3/29
----------
train Loss: 1.1285
Real Acc: 55.6667%
val Loss: 1.0653
Real Acc: 58.9333%

Epoch 4/29
----------
train Loss: 0.9535
Real Acc: 63.0444%
val Loss: 0.9850
Real Acc: 63.5333%

Epoch 5/29
----------
train Loss: 0.8010
Real Acc: 68.6861%
val Loss: 0.9759
Real Acc: 62.9500%

Epoch 6/29
----------
train Loss: 0.6920
Real Acc: 72.4417%
val Loss: 0.8894
Real Acc: 65.9583%

Epoch 7/29
----------
train Loss: 0.5915
Real Acc: 75.4306%
val Loss: 1.2021
Real Acc: 58.3417%

Epoch 8/29
----------
train Loss: 0.5148
Real Acc: 77.9250%
val Loss: 0.8698
Real Acc: 69.1750%

Epoch 9/29
----------
train Loss: 0.4623
Real Acc: 79.9194%
val Loss: 0.9598
Real Acc: 67.9333%

Epoch 10/29
----------
train Loss: 0.2862
Real Acc: 86.7250%
val Loss: 0.9452
Real Acc: 70.0083%

Epoch 11/29
----------
train Loss: 0.2280
Real Acc: 89.6222%
val Loss: 1.0613
Real Acc: 70.2000%

Epoch 12/29
----------
train Loss: 0.1840
Real Acc: 92.6528%
val Loss: 1.1514
Real Acc: 70.6083%

Epoch 13/29
----------
train Loss: 0.1118
Real Acc: 96.1694%
val Loss: 1.2118
Real Acc: 70.2417%

Epoch 14/29
----------
train Loss: 0.0802
Real Acc: 97.4333%
val Loss: 1.4163
Real Acc: 66.7167%

Epoch 15/29
----------
train Loss: 0.0634
Real Acc: 98.0556%
val Loss: 1.3444
Real Acc: 70.2500%

Epoch 16/29
----------
train Loss: 0.0557
Real Acc: 98.3000%
val Loss: 1.5193
Real Acc: 66.6417%

Epoch 17/29
----------
train Loss: 0.0540
Real Acc: 98.2389%
val Loss: 1.4117
Real Acc: 69.5750%

Epoch 18/29
----------
train Loss: 0.0440
Real Acc: 98.5667%
val Loss: 1.4813
Real Acc: 69.7500%

Epoch 19/29
----------
train Loss: 0.0485
Real Acc: 98.4583%
val Loss: 1.4250
Real Acc: 70.4000%

Epoch 20/29
----------
train Loss: 0.0175
Real Acc: 99.5361%
val Loss: 1.3886
Real Acc: 71.7250%

Epoch 21/29
----------
train Loss: 0.0091
Real Acc: 99.7889%
val Loss: 1.4421
Real Acc: 71.8833%

Epoch 22/29
----------
train Loss: 0.0106
Real Acc: 99.7556%
val Loss: 1.6425
Real Acc: 70.1500%

Epoch 23/29
----------
train Loss: 0.0128
Real Acc: 99.6278%
val Loss: 1.4757
Real Acc: 72.0250%

Epoch 24/29
----------
train Loss: 0.0087
Real Acc: 99.7667%
val Loss: 2.0464
Real Acc: 66.0750%

Epoch 25/29
----------
train Loss: 0.0140
Real Acc: 99.6444%
val Loss: 1.5360
Real Acc: 71.2167%

Epoch 26/29
----------
train Loss: 0.0124
Real Acc: 99.6333%
val Loss: 1.5532
Real Acc: 71.6833%

Epoch 27/29
----------
train Loss: 0.0102
Real Acc: 99.7111%
val Loss: 1.6865
Real Acc: 70.5333%

Epoch 28/29
----------
train Loss: 0.0096
Real Acc: 99.7222%
val Loss: 1.6420
Real Acc: 71.0083%

Epoch 29/29
----------
train Loss: 0.0113
Real Acc: 99.6944%
val Loss: 1.6342
Real Acc: 71.4250%

Training complete in 1465m 26s
Best val Acc: 72.025000
[40.15833333333333, 48.24166666666667, 51.474999999999994, 58.93333333333332, 63.53333333333333, 62.949999999999996, 65.95833333333333, 58.34166666666667, 69.175, 67.93333333333334, 70.00833333333333, 70.19999999999999, 70.60833333333333, 70.24166666666667, 66.71666666666667, 70.25, 66.64166666666667, 69.575, 69.75, 70.39999999999999, 71.725, 71.88333333333333, 70.15, 72.02499999999999, 66.07499999999999, 71.21666666666667, 71.68333333333334, 70.53333333333333, 71.00833333333333, 71.425]

test C: 69.1%     
test 2x2: 45.5%
test 3x3: 49.5%
test LR: 81.65%
test UD: 81.2%
test inC: 78.85%
test in2x2: 70.15%