Training:
Epoch 0/29
----------
train Loss: 2.1443
Real Acc: 16.2667%
val Loss: 2.0397
Real Acc: 18.9250%

Epoch 1/29
----------
train Loss: 1.8693
Real Acc: 27.7083%
val Loss: 1.7987
Real Acc: 30.6000%

Epoch 2/29
----------
train Loss: 1.6102
Real Acc: 38.3000%
val Loss: 1.5802
Real Acc: 40.1750%

Epoch 3/29
----------
train Loss: 1.3603
Real Acc: 48.1000%
val Loss: 1.4080
Real Acc: 45.7250%

Epoch 4/29
----------
train Loss: 1.1550
Real Acc: 56.0083%
val Loss: 1.3540
Real Acc: 49.7750%

Epoch 5/29
----------
train Loss: 0.9623
Real Acc: 63.3250%
val Loss: 1.3814
Real Acc: 48.2750%

Epoch 6/29
----------
train Loss: 0.7458
Real Acc: 71.9417%
val Loss: 1.8238
Real Acc: 42.4250%

Epoch 7/29
----------
train Loss: 0.5562
Real Acc: 79.2083%
val Loss: 1.6577
Real Acc: 49.1500%

Epoch 8/29
----------
train Loss: 0.4101
Real Acc: 85.3917%
val Loss: 1.6164
Real Acc: 51.8750%

Epoch 9/29
----------
train Loss: 0.2806
Real Acc: 90.1000%
val Loss: 1.7281
Real Acc: 48.7500%

Epoch 10/29
----------
train Loss: 0.1114
Real Acc: 96.6667%
val Loss: 1.7396
Real Acc: 52.0000%

Epoch 11/29
----------
train Loss: 0.0402
Real Acc: 99.1917%
val Loss: 1.6495
Real Acc: 57.4500%

Epoch 12/29
----------
train Loss: 0.0326
Real Acc: 99.3500%
val Loss: 1.9354
Real Acc: 54.0250%

Epoch 13/29
----------
train Loss: 0.0306
Real Acc: 99.2833%
val Loss: 1.8575
Real Acc: 54.6250%

Epoch 14/29
----------
train Loss: 0.0518
Real Acc: 98.6333%
val Loss: 2.1747
Real Acc: 50.5750%

Epoch 15/29
----------
train Loss: 0.0466
Real Acc: 98.5833%
val Loss: 1.9251
Real Acc: 53.9000%

Epoch 16/29
----------
train Loss: 0.0504
Real Acc: 98.5083%
val Loss: 2.0755
Real Acc: 52.6500%

Epoch 17/29
----------
train Loss: 0.0495
Real Acc: 98.4333%
val Loss: 2.2122
Real Acc: 52.3750%

Epoch 18/29
----------
train Loss: 0.0661
Real Acc: 97.9083%
val Loss: 2.3629
Real Acc: 51.0500%

Epoch 19/29
----------
train Loss: 0.0387
Real Acc: 98.8667%
val Loss: 2.0794
Real Acc: 55.1500%

Epoch 20/29
----------
train Loss: 0.0163
Real Acc: 99.6083%
val Loss: 1.9561
Real Acc: 56.3750%

Epoch 21/29
----------
train Loss: 0.0062
Real Acc: 99.9250%
val Loss: 1.8892
Real Acc: 57.8750%

Epoch 22/29
----------
train Loss: 0.0053
Real Acc: 99.9167%
val Loss: 1.9482
Real Acc: 57.1500%

Epoch 23/29
----------
train Loss: 0.0058
Real Acc: 99.8833%
val Loss: 1.9934
Real Acc: 56.5500%

Epoch 24/29
----------
train Loss: 0.0038
Real Acc: 99.9583%
val Loss: 2.0229
Real Acc: 56.5000%

Epoch 25/29
----------
train Loss: 0.0044
Real Acc: 99.9417%
val Loss: 2.0583
Real Acc: 55.9250%

Epoch 26/29
----------
train Loss: 0.0086
Real Acc: 99.7417%
val Loss: 2.3912
Real Acc: 52.4000%

Epoch 27/29
----------
train Loss: 0.0196
Real Acc: 99.4333%
val Loss: 2.2447
Real Acc: 54.8750%

Epoch 28/29
----------
train Loss: 0.0125
Real Acc: 99.6917%
val Loss: 2.2247
Real Acc: 54.5500%

Epoch 29/29
----------
train Loss: 0.0126
Real Acc: 99.6750%
val Loss: 2.3432
Real Acc: 54.4500%

Training complete in 366m 2s
Best val Acc: 57.875000
[18.925, 30.599999999999998, 40.175, 45.725, 49.775000000000006, 48.275, 42.425000000000004, 49.15, 51.87500000000001, 48.75, 52.0, 57.45, 54.025, 54.625, 50.575, 53.900000000000006, 52.65, 52.37500000000001, 51.050000000000004, 55.15, 56.375, 57.875, 57.15, 56.55, 56.50000000000001, 55.925000000000004, 52.400000000000006, 54.87499999999999, 54.55, 54.449999999999996]

test C: 53.3%
test in2x2: 57.95%