Training:
Epoch 0/29
----------
train Loss: 2.1657
Real Acc: 14.0750%
val Loss: 2.0345
Real Acc: 20.9750%

Epoch 1/29
----------
train Loss: 1.8926
Real Acc: 26.9833%
val Loss: 1.8085
Real Acc: 30.2500%

Epoch 2/29
----------
train Loss: 1.6455
Real Acc: 37.7167%
val Loss: 1.6668
Real Acc: 37.5750%

Epoch 3/29
----------
train Loss: 1.4901
Real Acc: 43.7083%
val Loss: 1.5405
Real Acc: 41.3250%

Epoch 4/29
----------
train Loss: 1.3345
Real Acc: 49.5417%
val Loss: 1.5090
Real Acc: 45.3500%

Epoch 5/29
----------
train Loss: 1.1765
Real Acc: 55.9417%
val Loss: 1.3489
Real Acc: 49.7750%

Epoch 6/29
----------
train Loss: 0.9958
Real Acc: 62.6500%
val Loss: 1.3991
Real Acc: 50.2750%

Epoch 7/29
----------
train Loss: 0.7720
Real Acc: 71.1667%
val Loss: 1.6201
Real Acc: 42.8250%

Epoch 8/29
----------
train Loss: 0.5645
Real Acc: 79.6833%
val Loss: 1.6026
Real Acc: 50.3500%

Epoch 9/29
----------
train Loss: 0.3858
Real Acc: 86.5333%
val Loss: 1.7018
Real Acc: 49.7500%

Epoch 10/29
----------
train Loss: 0.1351
Real Acc: 96.6167%
val Loss: 1.6446
Real Acc: 52.9250%

Epoch 11/29
----------
train Loss: 0.0402
Real Acc: 99.4917%
val Loss: 1.6886
Real Acc: 53.8750%

Epoch 12/29
----------
train Loss: 0.0207
Real Acc: 99.7667%
val Loss: 1.7596
Real Acc: 53.0250%

Epoch 13/29
----------
train Loss: 0.0172
Real Acc: 99.8167%
val Loss: 1.8831
Real Acc: 51.2750%

Epoch 14/29
----------
train Loss: 0.0381
Real Acc: 99.1083%
val Loss: 2.1424
Real Acc: 50.1500%

Epoch 15/29
----------
train Loss: 0.0662
Real Acc: 98.0750%
val Loss: 2.0733
Real Acc: 51.4000%

Epoch 16/29
----------
train Loss: 0.0556
Real Acc: 98.3000%
val Loss: 2.1061
Real Acc: 52.0250%

Epoch 17/29
----------
train Loss: 0.0409
Real Acc: 98.8833%
val Loss: 2.1643
Real Acc: 51.5500%

Epoch 18/29
----------
train Loss: 0.0394
Real Acc: 98.9083%
val Loss: 2.3139
Real Acc: 49.2000%

Epoch 19/29
----------
train Loss: 0.0330
Real Acc: 99.1500%
val Loss: 2.2592
Real Acc: 51.2750%

Epoch 20/29
----------
train Loss: 0.0110
Real Acc: 99.8500%
val Loss: 2.0461
Real Acc: 53.1250%

Epoch 21/29
----------
train Loss: 0.0056
Real Acc: 99.9500%
val Loss: 2.1283
Real Acc: 52.6500%

Epoch 22/29
----------
train Loss: 0.0056
Real Acc: 99.9167%
val Loss: 2.1129
Real Acc: 52.6000%

Epoch 23/29
----------
train Loss: 0.0039
Real Acc: 99.9583%
val Loss: 2.0950
Real Acc: 53.3500%

Epoch 24/29
----------
train Loss: 0.0055
Real Acc: 99.9167%
val Loss: 2.1992
Real Acc: 53.5500%

Epoch 25/29
----------
train Loss: 0.0068
Real Acc: 99.8583%
val Loss: 2.3141
Real Acc: 51.6000%

Epoch 26/29
----------
train Loss: 0.0100
Real Acc: 99.7750%
val Loss: 2.2867
Real Acc: 51.7500%

Epoch 27/29
----------
train Loss: 0.0097
Real Acc: 99.7667%
val Loss: 2.2547
Real Acc: 52.3500%

Epoch 28/29
----------
train Loss: 0.0068
Real Acc: 99.8583%
val Loss: 2.3214
Real Acc: 50.8750%

Epoch 29/29
----------
train Loss: 0.0122
Real Acc: 99.6917%
val Loss: 2.4275
Real Acc: 51.1250%

Training complete in 359m 57s
Best val Acc: 53.875000
[20.974999999999998, 30.25, 37.575, 41.325, 45.35, 49.775000000000006, 50.275000000000006, 42.825, 50.35000000000001, 49.75, 52.925, 53.87500000000001, 53.025, 51.275000000000006, 50.150000000000006, 51.4, 52.025, 51.55, 49.2, 51.275000000000006, 53.125, 52.65, 52.6, 53.349999999999994, 53.55, 51.6, 51.74999999999999, 52.349999999999994, 50.875, 51.125]

test LR: 64.1%
test 3x3: 45.65%