Training:
Epoch 0/29
----------
train Loss: 2.1267
Real Acc: 16.4500%
val Loss: 1.9520
Real Acc: 22.2000%

Epoch 1/29
----------
train Loss: 1.7680
Real Acc: 30.7000%
val Loss: 1.9024
Real Acc: 26.1500%

Epoch 2/29
----------
train Loss: 1.3692
Real Acc: 46.4500%
val Loss: 2.5943
Real Acc: 27.9000%

Epoch 3/29
----------
train Loss: 1.0122
Real Acc: 61.2333%
val Loss: 2.5010
Real Acc: 27.5000%

Epoch 4/29
----------
train Loss: 0.7124
Real Acc: 73.5000%
val Loss: 2.0664
Real Acc: 36.5000%

Epoch 5/29
----------
train Loss: 0.4402
Real Acc: 84.2167%
val Loss: 1.9916
Real Acc: 44.9500%

Epoch 6/29
----------
train Loss: 0.3102
Real Acc: 89.6500%
val Loss: 2.3424
Real Acc: 39.1000%

Epoch 7/29
----------
train Loss: 0.2039
Real Acc: 93.1167%
val Loss: 2.7744
Real Acc: 39.7000%

Epoch 8/29
----------
train Loss: 0.1498
Real Acc: 95.0833%
val Loss: 3.3866
Real Acc: 37.0500%

Epoch 9/29
----------
train Loss: 0.1340
Real Acc: 95.7000%
val Loss: 3.4502
Real Acc: 34.4500%

Epoch 10/29
----------
train Loss: 0.0622
Real Acc: 98.2000%
val Loss: 1.8066
Real Acc: 49.8500%

Epoch 11/29
----------
train Loss: 0.0207
Real Acc: 99.6000%
val Loss: 1.7492
Real Acc: 51.1500%

Epoch 12/29
----------
train Loss: 0.0151
Real Acc: 99.7833%
val Loss: 1.7797
Real Acc: 51.1500%

Epoch 13/29
----------
train Loss: 0.0111
Real Acc: 99.7500%
val Loss: 1.7804
Real Acc: 51.6500%

Epoch 14/29
----------
train Loss: 0.0110
Real Acc: 99.8000%
val Loss: 1.8391
Real Acc: 50.6500%

Epoch 15/29
----------
train Loss: 0.0074
Real Acc: 99.9000%
val Loss: 1.7878
Real Acc: 51.4500%

Epoch 16/29
----------
train Loss: 0.0048
Real Acc: 100.0000%
val Loss: 1.8278
Real Acc: 51.0000%

Epoch 17/29
----------
train Loss: 0.0048
Real Acc: 99.9833%
val Loss: 1.8738
Real Acc: 51.1000%

Epoch 18/29
----------
train Loss: 0.0059
Real Acc: 99.9333%
val Loss: 1.8820
Real Acc: 51.0000%

Epoch 19/29
----------
train Loss: 0.0051
Real Acc: 99.9500%
val Loss: 1.8907
Real Acc: 50.4500%

Epoch 20/29
----------
train Loss: 0.0049
Real Acc: 99.9500%
val Loss: 1.8884
Real Acc: 50.7000%

Epoch 21/29
----------
train Loss: 0.0035
Real Acc: 99.9833%
val Loss: 1.8766
Real Acc: 50.9000%

Epoch 22/29
----------
train Loss: 0.0029
Real Acc: 99.9833%
val Loss: 1.8919
Real Acc: 50.3500%

Epoch 23/29
----------
train Loss: 0.0024
Real Acc: 99.9667%
val Loss: 1.9318
Real Acc: 50.6500%

Epoch 24/29
----------
train Loss: 0.0026
Real Acc: 99.9833%
val Loss: 1.9226
Real Acc: 50.7000%

Epoch 25/29
----------
train Loss: 0.0026
Real Acc: 100.0000%
val Loss: 1.9622
Real Acc: 51.7500%

Epoch 26/29
----------
train Loss: 0.0027
Real Acc: 99.9833%
val Loss: 1.9351
Real Acc: 49.5000%

Epoch 27/29
----------
train Loss: 0.0030
Real Acc: 99.9500%
val Loss: 1.9215
Real Acc: 52.3500%

Epoch 28/29
----------
train Loss: 0.0019
Real Acc: 100.0000%
val Loss: 1.9812
Real Acc: 50.9500%

Epoch 29/29
----------
train Loss: 0.0018
Real Acc: 100.0000%
val Loss: 2.0002
Real Acc: 51.3500%

Training complete in 176m 57s
Best val Acc: 52.350000
[22.2, 26.150000000000002, 27.900000000000002, 27.500000000000004, 36.5, 44.95, 39.1, 39.7, 37.05, 34.45, 49.85, 51.150000000000006, 51.150000000000006, 51.65, 50.650000000000006, 51.449999999999996, 51.0, 51.1, 51.0, 50.45, 50.7, 50.9, 50.35000000000001, 50.650000000000006, 50.7, 51.74999999999999, 49.5, 52.349999999999994, 50.95, 51.349999999999994]

test: 51.7%