Training:
Epoch 0/29
----------
train Loss: 2.1308
Real Acc: 15.5417%
val Loss: 2.0061
Real Acc: 23.3750%

Epoch 1/29
----------
train Loss: 1.8103
Real Acc: 30.2417%
val Loss: 1.6935
Real Acc: 34.4000%

Epoch 2/29
----------
train Loss: 1.5695
Real Acc: 40.5583%
val Loss: 1.4743
Real Acc: 43.1500%

Epoch 3/29
----------
train Loss: 1.3487
Real Acc: 49.6833%
val Loss: 1.3800
Real Acc: 46.9000%

Epoch 4/29
----------
train Loss: 1.1491
Real Acc: 56.3667%
val Loss: 1.4668
Real Acc: 45.8250%

Epoch 5/29
----------
train Loss: 0.9788
Real Acc: 63.8000%
val Loss: 1.3155
Real Acc: 50.1750%

Epoch 6/29
----------
train Loss: 0.7927
Real Acc: 70.7833%
val Loss: 1.4938
Real Acc: 47.4750%

Epoch 7/29
----------
train Loss: 0.5959
Real Acc: 78.0833%
val Loss: 1.8847
Real Acc: 44.2250%

Epoch 8/29
----------
train Loss: 0.4395
Real Acc: 84.5083%
val Loss: 1.6326
Real Acc: 49.8250%

Epoch 9/29
----------
train Loss: 0.2952
Real Acc: 89.7583%
val Loss: 1.8638
Real Acc: 49.8250%

Epoch 10/29
----------
train Loss: 0.1022
Real Acc: 97.4333%
val Loss: 1.6329
Real Acc: 55.4000%

Epoch 11/29
----------
train Loss: 0.0370
Real Acc: 99.3500%
val Loss: 1.7132
Real Acc: 55.5250%

Epoch 12/29
----------
train Loss: 0.0193
Real Acc: 99.8583%
val Loss: 1.7503
Real Acc: 54.7250%

Epoch 13/29
----------
train Loss: 0.0222
Real Acc: 99.6167%
val Loss: 1.8692
Real Acc: 53.6250%

Epoch 14/29
----------
train Loss: 0.0277
Real Acc: 99.4583%
val Loss: 1.9879
Real Acc: 53.3750%

Epoch 15/29
----------
train Loss: 0.0408
Real Acc: 98.8667%
val Loss: 2.3306
Real Acc: 49.0500%

Epoch 16/29
----------
train Loss: 0.0551
Real Acc: 98.3167%
val Loss: 2.1194
Real Acc: 52.1000%

Epoch 17/29
----------
train Loss: 0.0366
Real Acc: 98.9500%
val Loss: 2.3135
Real Acc: 50.2750%

Epoch 18/29
----------
train Loss: 0.0419
Real Acc: 98.8250%
val Loss: 2.1589
Real Acc: 51.9000%

Epoch 19/29
----------
train Loss: 0.0491
Real Acc: 98.4333%
val Loss: 2.2939
Real Acc: 49.0750%

Epoch 20/29
----------
train Loss: 0.0190
Real Acc: 99.5833%
val Loss: 2.0415
Real Acc: 53.0000%

Epoch 21/29
----------
train Loss: 0.0071
Real Acc: 99.9333%
val Loss: 1.9976
Real Acc: 53.7250%

Epoch 22/29
----------
train Loss: 0.0046
Real Acc: 99.9667%
val Loss: 2.0617
Real Acc: 54.4500%

Epoch 23/29
----------
train Loss: 0.0048
Real Acc: 99.9333%
val Loss: 2.0739
Real Acc: 53.5250%

Epoch 24/29
----------
train Loss: 0.0037
Real Acc: 99.9833%
val Loss: 2.0994
Real Acc: 54.2500%

Epoch 25/29
----------
train Loss: 0.0031
Real Acc: 99.9500%
val Loss: 2.1432
Real Acc: 53.9250%

Epoch 26/29
----------
train Loss: 0.0027
Real Acc: 99.9833%
val Loss: 2.1302
Real Acc: 54.5000%

Epoch 27/29
----------
train Loss: 0.0188
Real Acc: 99.4333%
val Loss: 2.3652
Real Acc: 52.0500%

Epoch 28/29
----------
train Loss: 0.0100
Real Acc: 99.8250%
val Loss: 2.2536
Real Acc: 53.5000%

Epoch 29/29
----------
train Loss: 0.0073
Real Acc: 99.8250%
val Loss: 2.2830
Real Acc: 54.0500%

Training complete in 358m 27s
Best val Acc: 55.525000
[23.375, 34.400000000000006, 43.15, 46.900000000000006, 45.824999999999996, 50.175000000000004, 47.475, 44.225, 49.825, 49.825, 55.400000000000006, 55.525000000000006, 54.725, 53.625, 53.37500000000001, 49.05, 52.1, 50.275000000000006, 51.9, 49.075, 53.0, 53.725, 54.449999999999996, 53.525, 54.25, 53.925, 54.50000000000001, 52.05, 53.5, 54.05]

test UD: 63.7%
test 3x3: 47.55%