Training:
Epoch 0/29
----------
train Loss: 2.1749
Real Acc: 15.5000%
val Loss: 2.0075
Real Acc: 18.4500%

Epoch 1/29
----------
train Loss: 1.9364
Real Acc: 24.8333%
val Loss: 1.9138
Real Acc: 23.9000%

Epoch 2/29
----------
train Loss: 1.7326
Real Acc: 34.5333%
val Loss: 1.8457
Real Acc: 29.1000%

Epoch 3/29
----------
train Loss: 1.4871
Real Acc: 43.6000%
val Loss: 1.9493
Real Acc: 29.1500%

Epoch 4/29
----------
train Loss: 1.2027
Real Acc: 55.4167%
val Loss: 2.0251
Real Acc: 30.1000%

Epoch 5/29
----------
train Loss: 0.8058
Real Acc: 71.3500%
val Loss: 2.6956
Real Acc: 30.9000%

Epoch 6/29
----------
train Loss: 0.4892
Real Acc: 83.0667%
val Loss: 2.6047
Real Acc: 28.9000%

Epoch 7/29
----------
train Loss: 0.2472
Real Acc: 92.1667%
val Loss: 3.1869
Real Acc: 28.0000%

Epoch 8/29
----------
train Loss: 0.1625
Real Acc: 95.4000%
val Loss: 2.7290
Real Acc: 30.2500%

Epoch 9/29
----------
train Loss: 0.1214
Real Acc: 96.5000%
val Loss: 2.8905
Real Acc: 29.0500%

Epoch 10/29
----------
train Loss: 0.0494
Real Acc: 99.0500%
val Loss: 2.4920
Real Acc: 31.6000%

Epoch 11/29
----------
train Loss: 0.0160
Real Acc: 99.9333%
val Loss: 2.4698
Real Acc: 32.2500%

Epoch 12/29
----------
train Loss: 0.0113
Real Acc: 99.9667%
val Loss: 2.5185
Real Acc: 31.1500%

Epoch 13/29
----------
train Loss: 0.0083
Real Acc: 99.9500%
val Loss: 2.4876
Real Acc: 31.8000%

Epoch 14/29
----------
train Loss: 0.0060
Real Acc: 100.0000%
val Loss: 2.4912
Real Acc: 31.7000%

Epoch 15/29
----------
train Loss: 0.0056
Real Acc: 99.9833%
val Loss: 2.4941
Real Acc: 31.9500%

Epoch 16/29
----------
train Loss: 0.0039
Real Acc: 100.0000%
val Loss: 2.5049
Real Acc: 31.5000%

Epoch 17/29
----------
train Loss: 0.0037
Real Acc: 100.0000%
val Loss: 2.5584
Real Acc: 31.6000%

Epoch 18/29
----------
train Loss: 0.0033
Real Acc: 100.0000%
val Loss: 2.5692
Real Acc: 30.8500%

Epoch 19/29
----------
train Loss: 0.0028
Real Acc: 100.0000%
val Loss: 2.6656
Real Acc: 31.9500%

Epoch 20/29
----------
train Loss: 0.0031
Real Acc: 100.0000%
val Loss: 2.5711
Real Acc: 31.2000%

Epoch 21/29
----------
train Loss: 0.0020
Real Acc: 100.0000%
val Loss: 2.5726
Real Acc: 32.5500%

Epoch 22/29
----------
train Loss: 0.0019
Real Acc: 100.0000%
val Loss: 2.5693
Real Acc: 31.7000%

Epoch 23/29
----------
train Loss: 0.0020
Real Acc: 100.0000%
val Loss: 2.6130
Real Acc: 31.2000%

Epoch 24/29
----------
train Loss: 0.0016
Real Acc: 100.0000%
val Loss: 2.5774
Real Acc: 30.3500%

Epoch 25/29
----------
train Loss: 0.0015
Real Acc: 100.0000%
val Loss: 2.6425
Real Acc: 29.8000%

Epoch 26/29
----------
train Loss: 0.0015
Real Acc: 100.0000%
val Loss: 2.6108
Real Acc: 30.3500%

Epoch 27/29
----------
train Loss: 0.0014
Real Acc: 100.0000%
val Loss: 2.6106
Real Acc: 29.5500%

Epoch 28/29
----------
train Loss: 0.0013
Real Acc: 100.0000%
val Loss: 2.6604
Real Acc: 30.6000%

Epoch 29/29
----------
train Loss: 0.0012
Real Acc: 100.0000%
val Loss: 2.6412
Real Acc: 31.4000%

Training complete in 177m 19s
Best val Acc: 32.550000
[18.45, 23.900000000000002, 29.099999999999998, 29.15, 30.099999999999998, 30.9, 28.9, 28.000000000000004, 30.25, 29.049999999999997, 31.6, 32.25, 31.15, 31.8, 31.7, 31.95, 31.5, 31.6, 30.85, 31.95, 31.2, 32.550000000000004, 31.7, 31.2, 30.349999999999998, 29.799999999999997, 30.349999999999998, 29.549999999999997, 30.599999999999998, 31.4]

test: 32.1%