Training:
Epoch 0/29
----------
train Loss: 2.2078
Real Acc: 13.3833%
val Loss: 2.0372
Real Acc: 17.9500%

Epoch 1/29
----------
train Loss: 1.9026
Real Acc: 26.8833%
val Loss: 1.6714
Real Acc: 37.6000%

Epoch 2/29
----------
train Loss: 1.5619
Real Acc: 40.8000%
val Loss: 1.5563
Real Acc: 41.7000%

Epoch 3/29
----------
train Loss: 1.3078
Real Acc: 51.0333%
val Loss: 1.3426
Real Acc: 49.6500%

Epoch 4/29
----------
train Loss: 1.0950
Real Acc: 58.5833%
val Loss: 1.4288
Real Acc: 47.9000%

Epoch 5/29
----------
train Loss: 0.8859
Real Acc: 66.8000%
val Loss: 1.6813
Real Acc: 44.3000%

Epoch 6/29
----------
train Loss: 0.6931
Real Acc: 75.1667%
val Loss: 1.4046
Real Acc: 52.7500%

Epoch 7/29
----------
train Loss: 0.4935
Real Acc: 82.2167%
val Loss: 1.3949
Real Acc: 56.9000%

Epoch 8/29
----------
train Loss: 0.3725
Real Acc: 86.8667%
val Loss: 1.4849
Real Acc: 56.7000%

Epoch 9/29
----------
train Loss: 0.3016
Real Acc: 89.8833%
val Loss: 2.5241
Real Acc: 38.9500%

Epoch 10/29
----------
train Loss: 0.1042
Real Acc: 97.2833%
val Loss: 1.2355
Real Acc: 62.7500%

Epoch 11/29
----------
train Loss: 0.0440
Real Acc: 99.2667%
val Loss: 1.3264
Real Acc: 61.8500%

Epoch 12/29
----------
train Loss: 0.0225
Real Acc: 99.8000%
val Loss: 1.3173
Real Acc: 62.3500%

Epoch 13/29
----------
train Loss: 0.0156
Real Acc: 99.8500%
val Loss: 1.3516
Real Acc: 62.2500%

Epoch 14/29
----------
train Loss: 0.0126
Real Acc: 99.9333%
val Loss: 1.3736
Real Acc: 62.7500%

Epoch 15/29
----------
train Loss: 0.0085
Real Acc: 99.9833%
val Loss: 1.3975
Real Acc: 62.8000%

Epoch 16/29
----------
train Loss: 0.0128
Real Acc: 99.8167%
val Loss: 1.4545
Real Acc: 62.1000%

Epoch 17/29
----------
train Loss: 0.0165
Real Acc: 99.6833%
val Loss: 2.5623
Real Acc: 46.2500%

Epoch 18/29
----------
train Loss: 0.0524
Real Acc: 98.5000%
val Loss: 1.6587
Real Acc: 58.4000%

Epoch 19/29
----------
train Loss: 0.0518
Real Acc: 98.5333%
val Loss: 1.9105
Real Acc: 53.2500%

Epoch 20/29
----------
train Loss: 0.0239
Real Acc: 99.5333%
val Loss: 1.4382
Real Acc: 62.3000%

Epoch 21/29
----------
train Loss: 0.0089
Real Acc: 99.9333%
val Loss: 1.4300
Real Acc: 63.5500%

Epoch 22/29
----------
train Loss: 0.0064
Real Acc: 99.9667%
val Loss: 1.4310
Real Acc: 63.1000%

Epoch 23/29
----------
train Loss: 0.0039
Real Acc: 100.0000%
val Loss: 1.4261
Real Acc: 63.0000%

Epoch 24/29
----------
train Loss: 0.0040
Real Acc: 100.0000%
val Loss: 1.4640
Real Acc: 62.8000%

Epoch 25/29
----------
train Loss: 0.0039
Real Acc: 99.9833%
val Loss: 1.5029
Real Acc: 63.3000%

Epoch 26/29
----------
train Loss: 0.0027
Real Acc: 100.0000%
val Loss: 1.4728
Real Acc: 62.9500%

Epoch 27/29
----------
train Loss: 0.0024
Real Acc: 100.0000%
val Loss: 1.5065
Real Acc: 63.4500%

Epoch 28/29
----------
train Loss: 0.0024
Real Acc: 100.0000%
val Loss: 1.5395
Real Acc: 62.2000%

Epoch 29/29
----------
train Loss: 0.0020
Real Acc: 100.0000%
val Loss: 1.5237
Real Acc: 62.9000%

Training complete in 180m 11s
Best val Acc: 63.550000
[17.95, 37.6, 41.699999999999996, 49.65, 47.900000000000006, 44.3, 52.75, 56.900000000000006, 56.7, 38.95, 62.75000000000001, 61.85000000000001, 62.35000000000001, 62.25000000000001, 62.75000000000001, 62.8, 62.1, 46.25, 58.4, 53.25, 62.3, 63.550000000000004, 63.1, 63.0, 62.8, 63.3, 62.95, 63.45, 62.2, 62.9]

test: 58.45%