Training:
Epoch 0/29
----------
train Loss: 2.0986
Real Acc: 17.8417%
val Loss: 1.8950
Real Acc: 27.6000%

Epoch 1/29
----------
train Loss: 1.7693
Real Acc: 30.7083%
val Loss: 1.9424
Real Acc: 29.8750%

Epoch 2/29
----------
train Loss: 1.4780
Real Acc: 42.4000%
val Loss: 1.5621
Real Acc: 39.6000%

Epoch 3/29
----------
train Loss: 1.2279
Real Acc: 53.0583%
val Loss: 1.7165
Real Acc: 36.8000%

Epoch 4/29
----------
train Loss: 1.0032
Real Acc: 62.2500%
val Loss: 1.5952
Real Acc: 40.8000%

Epoch 5/29
----------
train Loss: 0.7717
Real Acc: 71.1333%
val Loss: 1.8297
Real Acc: 42.5250%

Epoch 6/29
----------
train Loss: 0.5635
Real Acc: 80.1500%
val Loss: 1.7931
Real Acc: 44.4750%

Epoch 7/29
----------
train Loss: 0.3647
Real Acc: 87.5667%
val Loss: 2.3471
Real Acc: 41.7750%

Epoch 8/29
----------
train Loss: 0.2608
Real Acc: 91.2500%
val Loss: 2.1336
Real Acc: 43.9500%

Epoch 9/29
----------
train Loss: 0.2012
Real Acc: 93.2083%
val Loss: 2.7026
Real Acc: 38.4500%

Epoch 10/29
----------
train Loss: 0.0731
Real Acc: 98.0250%
val Loss: 2.0537
Real Acc: 46.1750%

Epoch 11/29
----------
train Loss: 0.0285
Real Acc: 99.5417%
val Loss: 2.0496
Real Acc: 46.9750%

Epoch 12/29
----------
train Loss: 0.0153
Real Acc: 99.8500%
val Loss: 2.1482
Real Acc: 47.0500%

Epoch 13/29
----------
train Loss: 0.0117
Real Acc: 99.8500%
val Loss: 2.2063
Real Acc: 46.7750%

Epoch 14/29
----------
train Loss: 0.0198
Real Acc: 99.5917%
val Loss: 2.5056
Real Acc: 45.8750%

Epoch 15/29
----------
train Loss: 0.0560
Real Acc: 98.1417%
val Loss: 2.6471
Real Acc: 43.0250%

Epoch 16/29
----------
train Loss: 0.0697
Real Acc: 97.9750%
val Loss: 2.5837
Real Acc: 41.5750%

Epoch 17/29
----------
train Loss: 0.0375
Real Acc: 99.0583%
val Loss: 2.4046
Real Acc: 44.8250%

Epoch 18/29
----------
train Loss: 0.0244
Real Acc: 99.3250%
val Loss: 2.4938
Real Acc: 45.1000%

Epoch 19/29
----------
train Loss: 0.0218
Real Acc: 99.5250%
val Loss: 2.8122
Real Acc: 43.6000%

Epoch 20/29
----------
train Loss: 0.0139
Real Acc: 99.6833%
val Loss: 2.4761
Real Acc: 45.9000%

Epoch 21/29
----------
train Loss: 0.0055
Real Acc: 99.9500%
val Loss: 2.4414
Real Acc: 46.8750%

Epoch 22/29
----------
train Loss: 0.0054
Real Acc: 99.9000%
val Loss: 2.5269
Real Acc: 46.3500%

Epoch 23/29
----------
train Loss: 0.0064
Real Acc: 99.8750%
val Loss: 2.5427
Real Acc: 46.6750%

Epoch 24/29
----------
train Loss: 0.0042
Real Acc: 99.9500%
val Loss: 2.5504
Real Acc: 46.4750%

Epoch 25/29
----------
train Loss: 0.0050
Real Acc: 99.9083%
val Loss: 2.5966
Real Acc: 46.5250%

Epoch 26/29
----------
train Loss: 0.0050
Real Acc: 99.9000%
val Loss: 2.6191
Real Acc: 46.2500%

Epoch 27/29
----------
train Loss: 0.0138
Real Acc: 99.6583%
val Loss: 2.7715
Real Acc: 44.9750%

Epoch 28/29
----------
train Loss: 0.0148
Real Acc: 99.5667%
val Loss: 2.6742
Real Acc: 45.7750%

Epoch 29/29
----------
train Loss: 0.0087
Real Acc: 99.8167%
val Loss: 2.8110
Real Acc: 45.9750%

Training complete in 356m 39s
Best val Acc: 47.050000
[27.6, 29.875, 39.6, 36.8, 40.800000000000004, 42.525, 44.475, 41.775, 43.95, 38.45, 46.175, 46.975, 47.050000000000004, 46.775, 45.875, 43.025000000000006, 41.575, 44.824999999999996, 45.1, 43.6, 45.9, 46.875, 46.35, 46.675, 46.475, 46.525, 46.25, 44.975, 45.775, 45.975]

test 2x2: 38.35%
test in2x2: 57%