Training:
Epoch 0/29
----------
train Loss: 1.8663
Real Acc: 26.8278%
val Loss: 1.5196
Real Acc: 41.6250%

Epoch 1/29
----------
train Loss: 1.3417
Real Acc: 48.2306%
val Loss: 1.4763
Real Acc: 45.5583%

Epoch 2/29
----------
train Loss: 1.0472
Real Acc: 59.7417%
val Loss: 0.9813
Real Acc: 61.8333%

Epoch 3/29
----------
train Loss: 0.8406
Real Acc: 68.0528%
val Loss: 0.9733
Real Acc: 62.9167%

Epoch 4/29
----------
train Loss: 0.7060
Real Acc: 73.3222%
val Loss: 0.8679
Real Acc: 67.7667%

Epoch 5/29
----------
train Loss: 0.5779
Real Acc: 78.2917%
val Loss: 1.0169
Real Acc: 63.5833%

Epoch 6/29
----------
train Loss: 0.4808
Real Acc: 82.1667%
val Loss: 0.9627
Real Acc: 68.0833%

Epoch 7/29
----------
train Loss: 0.3982
Real Acc: 85.3528%
val Loss: 1.3171
Real Acc: 60.1500%

Epoch 8/29
----------
train Loss: 0.3138
Real Acc: 88.8167%
val Loss: 1.0099
Real Acc: 68.9417%

Epoch 9/29
----------
train Loss: 0.2582
Real Acc: 90.7722%
val Loss: 1.1028
Real Acc: 67.7250%

Epoch 10/29
----------
train Loss: 0.0944
Real Acc: 97.0694%
val Loss: 1.0429
Real Acc: 72.0250%

Epoch 11/29
----------
train Loss: 0.0648
Real Acc: 98.0194%
val Loss: 1.1240
Real Acc: 71.4583%

Epoch 12/29
----------
train Loss: 0.0577
Real Acc: 98.2000%
val Loss: 1.1996
Real Acc: 71.3000%

Epoch 13/29
----------
train Loss: 0.0471
Real Acc: 98.5333%
val Loss: 1.3660
Real Acc: 69.7917%

Epoch 14/29
----------
train Loss: 0.0467
Real Acc: 98.5083%
val Loss: 1.3679
Real Acc: 70.8167%

Epoch 15/29
----------
train Loss: 0.0451
Real Acc: 98.5583%
val Loss: 1.3598
Real Acc: 71.2000%

Epoch 16/29
----------
train Loss: 0.0476
Real Acc: 98.4167%
val Loss: 1.3695
Real Acc: 69.6833%

Epoch 17/29
----------
train Loss: 0.0384
Real Acc: 98.7361%
val Loss: 1.3774
Real Acc: 70.9333%

Epoch 18/29
----------
train Loss: 0.0412
Real Acc: 98.6444%
val Loss: 1.4891
Real Acc: 70.0333%

Epoch 19/29
----------
train Loss: 0.0352
Real Acc: 98.8778%
val Loss: 1.4533
Real Acc: 70.7750%

Epoch 20/29
----------
train Loss: 0.0129
Real Acc: 99.6722%
val Loss: 1.3766
Real Acc: 72.5583%

Epoch 21/29
----------
train Loss: 0.0059
Real Acc: 99.8833%
val Loss: 1.4132
Real Acc: 72.8583%

Epoch 22/29
----------
train Loss: 0.0103
Real Acc: 99.7167%
val Loss: 1.4290
Real Acc: 72.3750%

Epoch 23/29
----------
train Loss: 0.0090
Real Acc: 99.7556%
val Loss: 1.4842
Real Acc: 72.0667%

Epoch 24/29
----------
train Loss: 0.0088
Real Acc: 99.7250%
val Loss: 1.4949
Real Acc: 71.8917%

Epoch 25/29
----------
train Loss: 0.0128
Real Acc: 99.6222%
val Loss: 1.5106
Real Acc: 71.6417%

Epoch 26/29
----------
train Loss: 0.0083
Real Acc: 99.7611%
val Loss: 1.5366
Real Acc: 71.5583%

Epoch 27/29
----------
train Loss: 0.0055
Real Acc: 99.8528%
val Loss: 1.5140
Real Acc: 72.0583%

Epoch 28/29
----------
train Loss: 0.0092
Real Acc: 99.7083%
val Loss: 1.5765
Real Acc: 71.4250%

Epoch 29/29
----------
train Loss: 0.0112
Real Acc: 99.6944%
val Loss: 1.5347
Real Acc: 72.0500%

Training complete in 1066m 47s
Best val Acc: 72.858333
[41.625, 45.55833333333334, 61.83333333333333, 62.916666666666664, 67.76666666666667, 63.583333333333336, 68.08333333333333, 60.150000000000006, 68.94166666666666, 67.72500000000001, 72.02499999999999, 71.45833333333333, 71.3, 69.79166666666666, 70.81666666666666, 71.2, 69.68333333333334, 70.93333333333332, 70.03333333333333, 70.775, 72.55833333333334, 72.85833333333333, 72.375, 72.06666666666666, 71.89166666666667, 71.64166666666667, 71.55833333333334, 72.05833333333334, 71.425, 72.05]

test C: 77.7%
test 2x2: 53.25%
test 3x3: 56.85%
test LR: 88.15%
test UD: 75.7%
test inC: 84.7%
test in2x2: 74.15%