Training:
Epoch 0/29
----------
train Loss: 2.0938
Real Acc: 19.7083%
val Loss: 1.7626
Real Acc: 32.3750%

Epoch 1/29
----------
train Loss: 1.6021
Real Acc: 39.2333%
val Loss: 1.5434
Real Acc: 40.0750%

Epoch 2/29
----------
train Loss: 1.3177
Real Acc: 49.2500%
val Loss: 1.2468
Real Acc: 50.4500%

Epoch 3/29
----------
train Loss: 1.1240
Real Acc: 56.5167%
val Loss: 1.1642
Real Acc: 55.7500%

Epoch 4/29
----------
train Loss: 0.9358
Real Acc: 63.7917%
val Loss: 1.1791
Real Acc: 57.7500%

Epoch 5/29
----------
train Loss: 0.7579
Real Acc: 70.8167%
val Loss: 1.1166
Real Acc: 61.2000%

Epoch 6/29
----------
train Loss: 0.6233
Real Acc: 76.6167%
val Loss: 0.9881
Real Acc: 65.4750%

Epoch 7/29
----------
train Loss: 0.4626
Real Acc: 83.0750%
val Loss: 0.9095
Real Acc: 67.3000%

Epoch 8/29
----------
train Loss: 0.3674
Real Acc: 87.0000%
val Loss: 0.7693
Real Acc: 72.3000%

Epoch 9/29
----------
train Loss: 0.2802
Real Acc: 90.3167%
val Loss: 0.9201
Real Acc: 71.5750%

Epoch 10/29
----------
train Loss: 0.0927
Real Acc: 97.5333%
val Loss: 0.7422
Real Acc: 75.9500%

Epoch 11/29
----------
train Loss: 0.0405
Real Acc: 99.2250%
val Loss: 0.8358
Real Acc: 75.6000%

Epoch 12/29
----------
train Loss: 0.0297
Real Acc: 99.5000%
val Loss: 0.8177
Real Acc: 76.1750%

Epoch 13/29
----------
train Loss: 0.0283
Real Acc: 99.4250%
val Loss: 0.8801
Real Acc: 75.4750%

Epoch 14/29
----------
train Loss: 0.0377
Real Acc: 98.9333%
val Loss: 1.1326
Real Acc: 70.1000%

Epoch 15/29
----------
train Loss: 0.0363
Real Acc: 99.0583%
val Loss: 1.3857
Real Acc: 64.8500%

Epoch 16/29
----------
train Loss: 0.0552
Real Acc: 98.3583%
val Loss: 0.9464
Real Acc: 74.3000%

Epoch 17/29
----------
train Loss: 0.0436
Real Acc: 98.8083%
val Loss: 1.3026
Real Acc: 68.4750%

Epoch 18/29
----------
train Loss: 0.0472
Real Acc: 98.5917%
val Loss: 1.0573
Real Acc: 72.2250%

Epoch 19/29
----------
train Loss: 0.0352
Real Acc: 98.9833%
val Loss: 1.0248
Real Acc: 74.2000%

Epoch 20/29
----------
train Loss: 0.0117
Real Acc: 99.8250%
val Loss: 0.9003
Real Acc: 76.7000%

Epoch 21/29
----------
train Loss: 0.0050
Real Acc: 99.9750%
val Loss: 0.9246
Real Acc: 76.9000%

Epoch 22/29
----------
train Loss: 0.0042
Real Acc: 99.9583%
val Loss: 0.9100
Real Acc: 77.2000%

Epoch 23/29
----------
train Loss: 0.0033
Real Acc: 99.9750%
val Loss: 0.9407
Real Acc: 76.6000%

Epoch 24/29
----------
train Loss: 0.0054
Real Acc: 99.9000%
val Loss: 0.9830
Real Acc: 76.1250%

Epoch 25/29
----------
train Loss: 0.0065
Real Acc: 99.9000%
val Loss: 1.0977
Real Acc: 74.1000%

Epoch 26/29
----------
train Loss: 0.0103
Real Acc: 99.7417%
val Loss: 1.0081
Real Acc: 76.2250%

Epoch 27/29
----------
train Loss: 0.0135
Real Acc: 99.6167%
val Loss: 1.1082
Real Acc: 73.7500%

Epoch 28/29
----------
train Loss: 0.0108
Real Acc: 99.7417%
val Loss: 1.0501
Real Acc: 75.7000%

Epoch 29/29
----------
train Loss: 0.0051
Real Acc: 99.9000%
val Loss: 1.0085
Real Acc: 76.5750%

Training complete in 1999m 33s
Best val Acc: 77.200000
[32.375, 40.075, 50.45, 55.75, 57.75, 61.199999999999996, 65.47500000000001, 67.30000000000001, 72.3, 71.575, 75.95, 75.6, 76.175, 75.47500000000001, 70.10000000000001, 64.85, 74.3, 68.475, 72.22500000000001, 74.2, 76.7, 76.9, 77.2, 76.6, 76.125, 74.1, 76.225, 73.75, 75.7, 76.575]

test LR: 76%
test UD: 75.8%