Training:
Epoch 0/29
----------
train Loss: 2.1678
Real Acc: 15.2000%
val Loss: 2.0443
Real Acc: 17.3000%

Epoch 1/29
----------
train Loss: 1.8716
Real Acc: 28.5333%
val Loss: 1.6550
Real Acc: 38.3500%

Epoch 2/29
----------
train Loss: 1.5827
Real Acc: 40.3333%
val Loss: 1.5888
Real Acc: 38.4500%

Epoch 3/29
----------
train Loss: 1.2987
Real Acc: 51.7667%
val Loss: 1.3211
Real Acc: 50.0000%

Epoch 4/29
----------
train Loss: 1.0224
Real Acc: 62.5667%
val Loss: 1.4085
Real Acc: 48.0500%

Epoch 5/29
----------
train Loss: 0.8059
Real Acc: 70.5167%
val Loss: 1.2809
Real Acc: 53.9500%

Epoch 6/29
----------
train Loss: 0.5652
Real Acc: 79.8833%
val Loss: 1.2567
Real Acc: 57.8500%

Epoch 7/29
----------
train Loss: 0.4020
Real Acc: 86.0333%
val Loss: 1.6879
Real Acc: 49.7000%

Epoch 8/29
----------
train Loss: 0.2891
Real Acc: 90.4833%
val Loss: 1.5327
Real Acc: 52.8000%

Epoch 9/29
----------
train Loss: 0.2088
Real Acc: 93.1667%
val Loss: 1.4505
Real Acc: 58.8000%

Epoch 10/29
----------
train Loss: 0.0907
Real Acc: 97.6000%
val Loss: 1.0186
Real Acc: 67.5500%

Epoch 11/29
----------
train Loss: 0.0282
Real Acc: 99.6833%
val Loss: 0.9749
Real Acc: 69.2500%

Epoch 12/29
----------
train Loss: 0.0186
Real Acc: 99.8000%
val Loss: 1.0133
Real Acc: 69.7500%

Epoch 13/29
----------
train Loss: 0.0123
Real Acc: 99.9333%
val Loss: 1.0337
Real Acc: 69.9500%

Epoch 14/29
----------
train Loss: 0.0078
Real Acc: 99.9833%
val Loss: 1.0241
Real Acc: 70.6000%

Epoch 15/29
----------
train Loss: 0.0068
Real Acc: 99.9667%
val Loss: 1.0597
Real Acc: 69.4000%

Epoch 16/29
----------
train Loss: 0.0102
Real Acc: 99.8833%
val Loss: 1.1033
Real Acc: 70.2000%

Epoch 17/29
----------
train Loss: 0.0090
Real Acc: 99.9000%
val Loss: 1.1183
Real Acc: 66.6000%

Epoch 18/29
----------
train Loss: 0.0197
Real Acc: 99.5833%
val Loss: 1.3981
Real Acc: 63.6000%

Epoch 19/29
----------
train Loss: 0.0692
Real Acc: 97.9000%
val Loss: 1.6493
Real Acc: 59.3500%

Epoch 20/29
----------
train Loss: 0.0386
Real Acc: 99.0000%
val Loss: 1.1845
Real Acc: 68.5000%

Epoch 21/29
----------
train Loss: 0.0124
Real Acc: 99.8167%
val Loss: 1.0858
Real Acc: 69.1000%

Epoch 22/29
----------
train Loss: 0.0069
Real Acc: 99.9667%
val Loss: 1.0976
Real Acc: 70.1000%

Epoch 23/29
----------
train Loss: 0.0055
Real Acc: 99.9667%
val Loss: 1.1387
Real Acc: 68.9000%

Epoch 24/29
----------
train Loss: 0.0036
Real Acc: 100.0000%
val Loss: 1.1060
Real Acc: 70.2000%

Epoch 25/29
----------
train Loss: 0.0031
Real Acc: 99.9833%
val Loss: 1.0916
Real Acc: 70.1000%

Epoch 26/29
----------
train Loss: 0.0027
Real Acc: 100.0000%
val Loss: 1.1220
Real Acc: 69.2500%

Epoch 27/29
----------
train Loss: 0.0021
Real Acc: 100.0000%
val Loss: 1.1199
Real Acc: 69.9000%

Epoch 28/29
----------
train Loss: 0.0021
Real Acc: 100.0000%
val Loss: 1.1489
Real Acc: 68.9000%

Epoch 29/29
----------
train Loss: 0.0026
Real Acc: 99.9833%
val Loss: 1.1861
Real Acc: 68.5000%

Training complete in 227m 39s
Best val Acc: 70.600000
[17.3, 38.35, 38.45, 50.0, 48.05, 53.949999999999996, 57.85, 49.7, 52.800000000000004, 58.8, 67.55, 69.25, 69.75, 69.95, 70.6, 69.4, 70.2, 66.60000000000001, 63.6, 59.35, 68.5, 69.10000000000001, 70.10000000000001, 68.9, 70.2, 70.10000000000001, 69.25, 69.9, 68.9, 68.5]

test: 68.45%