Training:
Epoch 0/29
----------
train Loss: 2.0616
Real Acc: 19.4222%
val Loss: 1.8138
Real Acc: 29.1167%

Epoch 1/29
----------
train Loss: 1.7271
Real Acc: 33.9556%
val Loss: 1.5226
Real Acc: 41.8000%

Epoch 2/29
----------
train Loss: 1.4490
Real Acc: 45.0611%
val Loss: 1.5398
Real Acc: 42.5167%

Epoch 3/29
----------
train Loss: 1.2593
Real Acc: 50.9833%
val Loss: 1.3569
Real Acc: 49.0167%

Epoch 4/29
----------
train Loss: 1.1485
Real Acc: 54.1833%
val Loss: 1.2078
Real Acc: 52.4833%

Epoch 5/29
----------
train Loss: 1.0413
Real Acc: 56.9111%
val Loss: 1.1611
Real Acc: 53.9667%

Epoch 6/29
----------
train Loss: 0.9566
Real Acc: 60.0000%
val Loss: 2.3256
Real Acc: 40.7333%

Epoch 7/29
----------
train Loss: 0.9000
Real Acc: 62.0167%
val Loss: 1.1156
Real Acc: 56.8000%

Epoch 8/29
----------
train Loss: 0.7978
Real Acc: 67.1556%
val Loss: 1.1651
Real Acc: 56.3000%

Epoch 9/29
----------
train Loss: 0.6880
Real Acc: 72.7944%
val Loss: 1.6210
Real Acc: 49.8333%

Epoch 10/29
----------
train Loss: 0.3934
Real Acc: 85.4444%
val Loss: 1.1465
Real Acc: 62.0500%

Epoch 11/29
----------
train Loss: 0.2208
Real Acc: 92.5778%
val Loss: 1.2841
Real Acc: 61.8667%

Epoch 12/29
----------
train Loss: 0.1210
Real Acc: 96.5556%
val Loss: 1.4199
Real Acc: 62.3833%

Epoch 13/29
----------
train Loss: 0.0787
Real Acc: 97.8167%
val Loss: 1.5801
Real Acc: 60.8667%

Epoch 14/29
----------
train Loss: 0.0668
Real Acc: 98.0556%
val Loss: 1.7391
Real Acc: 59.0000%

Epoch 15/29
----------
train Loss: 0.0674
Real Acc: 97.9167%
val Loss: 1.6685
Real Acc: 60.5500%

Epoch 16/29
----------
train Loss: 0.0556
Real Acc: 98.3944%
val Loss: 1.6895
Real Acc: 61.7500%

Epoch 17/29
----------
train Loss: 0.0438
Real Acc: 98.7889%
val Loss: 1.7310
Real Acc: 62.6167%

Epoch 18/29
----------
train Loss: 0.0533
Real Acc: 98.3056%
val Loss: 1.9745
Real Acc: 60.6833%

Epoch 19/29
----------
train Loss: 0.0508
Real Acc: 98.3833%
val Loss: 1.8473
Real Acc: 61.0667%

Epoch 20/29
----------
train Loss: 0.0166
Real Acc: 99.5889%
val Loss: 1.7043
Real Acc: 63.7333%

Epoch 21/29
----------
train Loss: 0.0087
Real Acc: 99.8389%
val Loss: 1.7478
Real Acc: 63.6667%

Epoch 22/29
----------
train Loss: 0.0065
Real Acc: 99.9111%
val Loss: 1.7488
Real Acc: 63.6500%

Epoch 23/29
----------
train Loss: 0.0081
Real Acc: 99.8222%
val Loss: 1.8791
Real Acc: 62.4167%

Epoch 24/29
----------
train Loss: 0.0098
Real Acc: 99.7667%
val Loss: 1.9687
Real Acc: 62.1833%

Epoch 25/29
----------
train Loss: 0.0109
Real Acc: 99.7556%
val Loss: 1.9369
Real Acc: 62.6667%

Epoch 26/29
----------
train Loss: 0.0098
Real Acc: 99.7056%
val Loss: 2.0924
Real Acc: 61.1167%

Epoch 27/29
----------
train Loss: 0.0163
Real Acc: 99.5556%
val Loss: 1.9639
Real Acc: 62.5667%

Epoch 28/29
----------
train Loss: 0.0102
Real Acc: 99.7056%
val Loss: 2.0722
Real Acc: 60.4833%

Epoch 29/29
----------
train Loss: 0.0138
Real Acc: 99.5944%
val Loss: 1.9946
Real Acc: 62.8667%

Training complete in 538m 52s
Best val Acc: 63.733333
[29.116666666666664, 41.8, 42.516666666666666, 49.016666666666666, 52.48333333333333, 53.96666666666666, 40.733333333333334, 56.8, 56.3, 49.83333333333333, 62.05, 61.86666666666667, 62.38333333333333, 60.86666666666667, 59.0, 60.54999999999999, 61.74999999999999, 62.61666666666667, 60.68333333333334, 61.06666666666667, 63.733333333333334, 63.66666666666666, 63.65, 62.416666666666664, 62.18333333333334, 62.66666666666666, 61.11666666666666, 62.56666666666666, 60.483333333333334, 62.86666666666666]

test LR: 67.7%
test UD: 62.8%
test C: 56.8%