Training:
Epoch 0/29
----------
train Loss: 1.8433
Real Acc: 28.0083%
val Loss: 1.4866
Real Acc: 41.6250%

Epoch 1/29
----------
train Loss: 1.3461
Real Acc: 48.0778%
val Loss: 1.2385
Real Acc: 52.9750%

Epoch 2/29
----------
train Loss: 1.0877
Real Acc: 58.8139%
val Loss: 1.1534
Real Acc: 56.8083%

Epoch 3/29
----------
train Loss: 0.8818
Real Acc: 66.4806%
val Loss: 0.9857
Real Acc: 63.3083%

Epoch 4/29
----------
train Loss: 0.7288
Real Acc: 72.4389%
val Loss: 0.8905
Real Acc: 66.3667%

Epoch 5/29
----------
train Loss: 0.6053
Real Acc: 77.4944%
val Loss: 0.9265
Real Acc: 66.3750%

Epoch 6/29
----------
train Loss: 0.5148
Real Acc: 80.7528%
val Loss: 0.8591
Real Acc: 68.5083%

Epoch 7/29
----------
train Loss: 0.4137
Real Acc: 84.8611%
val Loss: 0.9040
Real Acc: 69.3833%

Epoch 8/29
----------
train Loss: 0.3329
Real Acc: 87.8889%
val Loss: 0.9526
Real Acc: 69.5667%

Epoch 9/29
----------
train Loss: 0.2638
Real Acc: 90.4139%
val Loss: 1.0802
Real Acc: 69.5083%

Epoch 10/29
----------
train Loss: 0.1027
Real Acc: 96.6250%
val Loss: 1.0656
Real Acc: 72.4000%

Epoch 11/29
----------
train Loss: 0.0642
Real Acc: 98.0389%
val Loss: 1.1960
Real Acc: 71.4333%

Epoch 12/29
----------
train Loss: 0.0632
Real Acc: 97.9611%
val Loss: 1.2198
Real Acc: 71.6167%

Epoch 13/29
----------
train Loss: 0.0555
Real Acc: 98.2306%
val Loss: 1.3363
Real Acc: 70.4250%

Epoch 14/29
----------
train Loss: 0.0489
Real Acc: 98.3972%
val Loss: 1.3692
Real Acc: 70.8333%

Epoch 15/29
----------
train Loss: 0.0450
Real Acc: 98.6139%
val Loss: 1.3549
Real Acc: 71.4667%

Epoch 16/29
----------
train Loss: 0.0467
Real Acc: 98.4528%
val Loss: 1.4876
Real Acc: 69.2833%

Epoch 17/29
----------
train Loss: 0.0398
Real Acc: 98.6917%
val Loss: 1.4069
Real Acc: 70.9083%

Epoch 18/29
----------
train Loss: 0.0435
Real Acc: 98.5583%
val Loss: 1.4557
Real Acc: 71.3000%

Epoch 19/29
----------
train Loss: 0.0401
Real Acc: 98.6917%
val Loss: 1.4467
Real Acc: 71.2167%

Epoch 20/29
----------
train Loss: 0.0156
Real Acc: 99.5611%
val Loss: 1.3847
Real Acc: 72.9750%

Epoch 21/29
----------
train Loss: 0.0095
Real Acc: 99.7639%
val Loss: 1.4421
Real Acc: 72.8333%

Epoch 22/29
----------
train Loss: 0.0112
Real Acc: 99.7139%
val Loss: 1.4509
Real Acc: 72.5667%

Epoch 23/29
----------
train Loss: 0.0084
Real Acc: 99.7861%
val Loss: 1.4780
Real Acc: 73.0917%

Epoch 24/29
----------
train Loss: 0.0096
Real Acc: 99.7250%
val Loss: 1.5344
Real Acc: 72.1500%

Epoch 25/29
----------
train Loss: 0.0107
Real Acc: 99.6722%
val Loss: 1.5170
Real Acc: 72.3583%

Epoch 26/29
----------
train Loss: 0.0080
Real Acc: 99.7639%
val Loss: 1.5008
Real Acc: 72.7750%

Epoch 27/29
----------
train Loss: 0.0088
Real Acc: 99.7278%
val Loss: 1.5704
Real Acc: 72.4167%

Epoch 28/29
----------
train Loss: 0.0089
Real Acc: 99.7778%
val Loss: 1.5135
Real Acc: 72.9667%

Epoch 29/29
----------
train Loss: 0.0117
Real Acc: 99.6722%
val Loss: 1.6079
Real Acc: 71.4417%

Training complete in 1065m 28s
Best val Acc: 73.091667
[41.625, 52.974999999999994, 56.80833333333333, 63.30833333333333, 66.36666666666666, 66.375, 68.50833333333333, 69.38333333333333, 69.56666666666666, 69.50833333333333, 72.39999999999999, 71.43333333333332, 71.61666666666666, 70.425, 70.83333333333333, 71.46666666666667, 69.28333333333333, 70.90833333333333, 71.3, 71.21666666666667, 72.975, 72.83333333333333, 72.56666666666666, 73.09166666666667, 72.15, 72.35833333333333, 72.775, 72.41666666666666, 72.96666666666667, 71.44166666666666]

test C: 75.65%
test 2x2: 55.2%
test 3x3: 56.45%
test LR: 70.15%
test UD: 87.6%
test inC: 83.85%
test in2x2: 73.95%