Training:
Epoch 0/29
----------
train Loss: 2.2205
Real Acc: 12.6167%
val Loss: 2.0687
Real Acc: 13.7500%

Epoch 1/29
----------
train Loss: 2.0935
Real Acc: 17.1167%
val Loss: 2.0045
Real Acc: 21.1500%

Epoch 2/29
----------
train Loss: 1.9210
Real Acc: 25.4000%
val Loss: 1.8438
Real Acc: 28.9000%

Epoch 3/29
----------
train Loss: 1.6956
Real Acc: 35.2667%
val Loss: 1.7713
Real Acc: 32.8500%

Epoch 4/29
----------
train Loss: 1.4298
Real Acc: 45.7333%
val Loss: 1.9959
Real Acc: 28.6500%

Epoch 5/29
----------
train Loss: 1.1605
Real Acc: 56.7333%
val Loss: 1.6751
Real Acc: 38.8500%

Epoch 6/29
----------
train Loss: 0.8711
Real Acc: 68.5667%
val Loss: 1.9777
Real Acc: 37.9500%

Epoch 7/29
----------
train Loss: 0.6196
Real Acc: 77.8500%
val Loss: 1.9960
Real Acc: 39.3000%

Epoch 8/29
----------
train Loss: 0.3813
Real Acc: 86.5333%
val Loss: 2.2957
Real Acc: 39.2500%

Epoch 9/29
----------
train Loss: 0.2671
Real Acc: 91.1333%
val Loss: 2.2238
Real Acc: 42.3000%

Epoch 10/29
----------
train Loss: 0.1034
Real Acc: 96.8833%
val Loss: 1.8801
Real Acc: 45.1000%

Epoch 11/29
----------
train Loss: 0.0330
Real Acc: 99.6833%
val Loss: 1.8756
Real Acc: 46.1500%

Epoch 12/29
----------
train Loss: 0.0197
Real Acc: 99.9167%
val Loss: 1.9295
Real Acc: 45.7000%

Epoch 13/29
----------
train Loss: 0.0165
Real Acc: 99.8333%
val Loss: 1.9335
Real Acc: 46.2000%

Epoch 14/29
----------
train Loss: 0.0113
Real Acc: 99.9333%
val Loss: 1.9428
Real Acc: 46.9500%

Epoch 15/29
----------
train Loss: 0.0113
Real Acc: 99.9500%
val Loss: 2.0126
Real Acc: 46.0500%

Epoch 16/29
----------
train Loss: 0.0112
Real Acc: 99.8500%
val Loss: 2.0577
Real Acc: 44.7500%

Epoch 17/29
----------
train Loss: 0.0112
Real Acc: 99.8667%
val Loss: 2.1604
Real Acc: 44.3000%

Epoch 18/29
----------
train Loss: 0.0192
Real Acc: 99.5833%
val Loss: 2.2833
Real Acc: 44.0000%

Epoch 19/29
----------
train Loss: 0.0462
Real Acc: 98.6167%
val Loss: 2.9767
Real Acc: 39.3000%

Epoch 20/29
----------
train Loss: 0.0329
Real Acc: 99.0500%
val Loss: 2.1713
Real Acc: 45.6500%

Epoch 21/29
----------
train Loss: 0.0104
Real Acc: 99.9500%
val Loss: 2.1172
Real Acc: 45.1000%

Epoch 22/29
----------
train Loss: 0.0077
Real Acc: 99.9333%
val Loss: 2.1392
Real Acc: 45.1500%

Epoch 23/29
----------
train Loss: 0.0056
Real Acc: 99.9500%
val Loss: 2.1684
Real Acc: 45.0500%

Epoch 24/29
----------
train Loss: 0.0043
Real Acc: 100.0000%
val Loss: 2.1484
Real Acc: 45.9000%

Epoch 25/29
----------
train Loss: 0.0037
Real Acc: 100.0000%
val Loss: 2.1536
Real Acc: 46.3500%

Epoch 26/29
----------
train Loss: 0.0033
Real Acc: 100.0000%
val Loss: 2.1621
Real Acc: 46.9500%

Epoch 27/29
----------
train Loss: 0.0031
Real Acc: 100.0000%
val Loss: 2.1835
Real Acc: 46.1500%

Epoch 28/29
----------
train Loss: 0.0029
Real Acc: 99.9833%
val Loss: 2.2443
Real Acc: 44.5000%

Epoch 29/29
----------
train Loss: 0.0034
Real Acc: 99.9833%
val Loss: 2.2578
Real Acc: 44.7500%

Training complete in 178m 4s
Best val Acc: 46.950000
[13.750000000000002, 21.15, 28.9, 32.85, 28.650000000000002, 38.85, 37.95, 39.300000000000004, 39.25, 42.3, 45.1, 46.150000000000006, 45.7, 46.2, 46.95, 46.050000000000004, 44.75, 44.3, 44.0, 39.300000000000004, 45.65, 45.1, 45.15, 45.050000000000004, 45.9, 46.35, 46.95, 46.150000000000006, 44.5, 44.75]

test: 46.95%