Training:
Epoch 0/29
----------
train Loss: 2.1505
Real Acc: 14.2750%
val Loss: 1.9939
Real Acc: 20.4500%

Epoch 1/29
----------
train Loss: 1.9195
Real Acc: 24.8500%
val Loss: 1.7503
Real Acc: 32.2250%

Epoch 2/29
----------
train Loss: 1.7086
Real Acc: 35.1583%
val Loss: 1.6955
Real Acc: 35.3000%

Epoch 3/29
----------
train Loss: 1.5328
Real Acc: 41.7667%
val Loss: 1.5508
Real Acc: 40.5000%

Epoch 4/29
----------
train Loss: 1.3513
Real Acc: 48.9000%
val Loss: 1.4940
Real Acc: 44.4000%

Epoch 5/29
----------
train Loss: 1.1238
Real Acc: 57.9583%
val Loss: 1.5784
Real Acc: 43.2250%

Epoch 6/29
----------
train Loss: 0.8706
Real Acc: 67.5833%
val Loss: 1.7876
Real Acc: 40.6000%

Epoch 7/29
----------
train Loss: 0.5940
Real Acc: 78.5583%
val Loss: 1.7031
Real Acc: 46.2000%

Epoch 8/29
----------
train Loss: 0.3814
Real Acc: 86.6583%
val Loss: 2.1652
Real Acc: 42.4500%

Epoch 9/29
----------
train Loss: 0.2570
Real Acc: 91.5750%
val Loss: 2.1594
Real Acc: 44.1000%

Epoch 10/29
----------
train Loss: 0.0885
Real Acc: 97.7333%
val Loss: 1.8648
Real Acc: 47.6750%

Epoch 11/29
----------
train Loss: 0.0315
Real Acc: 99.5333%
val Loss: 1.8862
Real Acc: 49.1500%

Epoch 12/29
----------
train Loss: 0.0210
Real Acc: 99.7250%
val Loss: 1.9639
Real Acc: 48.0500%

Epoch 13/29
----------
train Loss: 0.0159
Real Acc: 99.7833%
val Loss: 2.0285
Real Acc: 48.1500%

Epoch 14/29
----------
train Loss: 0.0178
Real Acc: 99.7083%
val Loss: 2.1705
Real Acc: 47.8750%

Epoch 15/29
----------
train Loss: 0.0244
Real Acc: 99.4333%
val Loss: 2.2783
Real Acc: 46.5250%

Epoch 16/29
----------
train Loss: 0.0617
Real Acc: 98.1750%
val Loss: 2.5540
Real Acc: 42.8750%

Epoch 17/29
----------
train Loss: 0.0796
Real Acc: 97.4167%
val Loss: 2.4209
Real Acc: 45.4500%

Epoch 18/29
----------
train Loss: 0.0478
Real Acc: 98.6250%
val Loss: 2.4224
Real Acc: 47.8750%

Epoch 19/29
----------
train Loss: 0.0365
Real Acc: 98.8750%
val Loss: 2.4680
Real Acc: 44.7000%

Epoch 20/29
----------
train Loss: 0.0187
Real Acc: 99.5417%
val Loss: 2.2269
Real Acc: 47.6000%

Epoch 21/29
----------
train Loss: 0.0076
Real Acc: 99.8500%
val Loss: 2.2466
Real Acc: 47.1000%

Epoch 22/29
----------
train Loss: 0.0045
Real Acc: 99.9667%
val Loss: 2.2948
Real Acc: 47.7000%

Epoch 23/29
----------
train Loss: 0.0044
Real Acc: 99.9583%
val Loss: 2.3135
Real Acc: 47.5500%

Epoch 24/29
----------
train Loss: 0.0050
Real Acc: 99.9083%
val Loss: 2.3650
Real Acc: 47.5750%

Epoch 25/29
----------
train Loss: 0.0035
Real Acc: 99.9917%
val Loss: 2.2909
Real Acc: 47.4500%

Epoch 26/29
----------
train Loss: 0.0023
Real Acc: 99.9917%
val Loss: 2.3658
Real Acc: 47.2750%

Epoch 27/29
----------
train Loss: 0.0019
Real Acc: 100.0000%
val Loss: 2.3682
Real Acc: 47.3500%

Epoch 28/29
----------
train Loss: 0.0050
Real Acc: 99.9083%
val Loss: 2.4894
Real Acc: 47.1500%

Epoch 29/29
----------
train Loss: 0.0149
Real Acc: 99.5583%
val Loss: 2.8934
Real Acc: 42.3500%

Training complete in 354m 59s
Best val Acc: 49.150000
[20.450000000000003, 32.225, 35.3, 40.5, 44.4, 43.225, 40.6, 46.2, 42.449999999999996, 44.1, 47.675, 49.15, 48.05, 48.15, 47.875, 46.525, 42.875, 45.45, 47.875, 44.7, 47.6, 47.1, 47.7, 47.550000000000004, 47.575, 47.45, 47.275, 47.35, 47.150000000000006, 42.35]

test C: 52.25%
test 2x2: 40.75%