Training:
Epoch 0/29
----------
train Loss: 1.8999
Real Acc: 26.3056%
val Loss: 1.8492
Real Acc: 33.3333%

Epoch 1/29
----------
train Loss: 1.4078
Real Acc: 46.5056%
val Loss: 1.2765
Real Acc: 50.0000%

Epoch 2/29
----------
train Loss: 1.2140
Real Acc: 52.7889%
val Loss: 1.2292
Real Acc: 52.5833%

Epoch 3/29
----------
train Loss: 1.0276
Real Acc: 59.5500%
val Loss: 1.8113
Real Acc: 50.9667%

Epoch 4/29
----------
train Loss: 0.8044
Real Acc: 68.8667%
val Loss: 1.1923
Real Acc: 59.9000%

Epoch 5/29
----------
train Loss: 0.6302
Real Acc: 75.4000%
val Loss: 0.7955
Real Acc: 70.5667%

Epoch 6/29
----------
train Loss: 0.5070
Real Acc: 79.4944%
val Loss: 0.7513
Real Acc: 72.7000%

Epoch 7/29
----------
train Loss: 0.4157
Real Acc: 83.6667%
val Loss: 1.9319
Real Acc: 55.4167%

Epoch 8/29
----------
train Loss: 0.3204
Real Acc: 88.3944%
val Loss: 0.5902
Real Acc: 80.0500%

Epoch 9/29
----------
train Loss: 0.2353
Real Acc: 91.8111%
val Loss: 0.6084
Real Acc: 79.7667%

Epoch 10/29
----------
train Loss: 0.0792
Real Acc: 97.7611%
val Loss: 0.5055
Real Acc: 83.9833%

Epoch 11/29
----------
train Loss: 0.0416
Real Acc: 98.9278%
val Loss: 0.5443
Real Acc: 84.2000%

Epoch 12/29
----------
train Loss: 0.0350
Real Acc: 99.0333%
val Loss: 0.6439
Real Acc: 82.3667%

Epoch 13/29
----------
train Loss: 0.0450
Real Acc: 98.6056%
val Loss: 0.7416
Real Acc: 80.8000%

Epoch 14/29
----------
train Loss: 0.0568
Real Acc: 98.1778%
val Loss: 0.7787
Real Acc: 79.5667%

Epoch 15/29
----------
train Loss: 0.0327
Real Acc: 98.9667%
val Loss: 0.6200
Real Acc: 83.2167%

Epoch 16/29
----------
train Loss: 0.0489
Real Acc: 98.4278%
val Loss: 0.6202
Real Acc: 82.7667%

Epoch 17/29
----------
train Loss: 0.0322
Real Acc: 99.0167%
val Loss: 0.7013
Real Acc: 81.9500%

Epoch 18/29
----------
train Loss: 0.0379
Real Acc: 98.8778%
val Loss: 0.6817
Real Acc: 82.1333%

Epoch 19/29
----------
train Loss: 0.0247
Real Acc: 99.2778%
val Loss: 0.6969
Real Acc: 81.8500%

Epoch 20/29
----------
train Loss: 0.0128
Real Acc: 99.7000%
val Loss: 0.5410
Real Acc: 85.8833%

Epoch 21/29
----------
train Loss: 0.0044
Real Acc: 99.9500%
val Loss: 0.5762
Real Acc: 85.2500%

Epoch 22/29
----------
train Loss: 0.0031
Real Acc: 99.9778%
val Loss: 0.5618
Real Acc: 86.3333%

Epoch 23/29
----------
train Loss: 0.0021
Real Acc: 99.9778%
val Loss: 0.5571
Real Acc: 86.5833%

Epoch 24/29
----------
train Loss: 0.0204
Real Acc: 99.4333%
val Loss: 0.6223
Real Acc: 84.5000%

Epoch 25/29
----------
train Loss: 0.0081
Real Acc: 99.7778%
val Loss: 0.5880
Real Acc: 85.4833%

Epoch 26/29
----------
train Loss: 0.0055
Real Acc: 99.8778%
val Loss: 0.6191
Real Acc: 85.9500%

Epoch 27/29
----------
train Loss: 0.0048
Real Acc: 99.9056%
val Loss: 0.6281
Real Acc: 85.0833%

Epoch 28/29
----------
train Loss: 0.0177
Real Acc: 99.5389%
val Loss: 0.6683
Real Acc: 84.3333%

Epoch 29/29
----------
train Loss: 0.0053
Real Acc: 99.8944%
val Loss: 0.6700
Real Acc: 84.9167%

Training complete in 532m 11s
Best val Acc: 86.583333
[33.33333333333333, 50.0, 52.58333333333333, 50.96666666666666, 59.9, 70.56666666666666, 72.7, 55.41666666666667, 80.05, 79.76666666666667, 83.98333333333333, 84.2, 82.36666666666666, 80.8, 79.56666666666666, 83.21666666666665, 82.76666666666667, 81.95, 82.13333333333334, 81.85, 85.88333333333334, 85.24999999999999, 86.33333333333333, 86.58333333333333, 84.5, 85.48333333333333, 85.94999999999999, 85.08333333333333, 84.33333333333333, 84.91666666666666]

test LR: 88.75%
test UD: 87.15%
test inC: 82.8%