Training:
Epoch 0/29
----------
train Loss: 2.2271
Real Acc: 13.1667%
val Loss: 2.0470
Real Acc: 17.1000%

Epoch 1/29
----------
train Loss: 2.0615
Real Acc: 19.2833%
val Loss: 1.9616
Real Acc: 22.9000%

Epoch 2/29
----------
train Loss: 1.8752
Real Acc: 27.4167%
val Loss: 1.8712
Real Acc: 25.8000%

Epoch 3/29
----------
train Loss: 1.6540
Real Acc: 37.1500%
val Loss: 1.8646
Real Acc: 28.5000%

Epoch 4/29
----------
train Loss: 1.4253
Real Acc: 46.6667%
val Loss: 2.1090
Real Acc: 28.7000%

Epoch 5/29
----------
train Loss: 1.0741
Real Acc: 60.8167%
val Loss: 2.2215
Real Acc: 27.8500%

Epoch 6/29
----------
train Loss: 0.6824
Real Acc: 76.2333%
val Loss: 2.4208
Real Acc: 28.1000%

Epoch 7/29
----------
train Loss: 0.3754
Real Acc: 87.8500%
val Loss: 2.9695
Real Acc: 26.2000%

Epoch 8/29
----------
train Loss: 0.2320
Real Acc: 92.7833%
val Loss: 2.5695
Real Acc: 29.3000%

Epoch 9/29
----------
train Loss: 0.1598
Real Acc: 95.2167%
val Loss: 3.0447
Real Acc: 27.4500%

Epoch 10/29
----------
train Loss: 0.0591
Real Acc: 98.8500%
val Loss: 2.4894
Real Acc: 31.7000%

Epoch 11/29
----------
train Loss: 0.0195
Real Acc: 99.8167%
val Loss: 2.4468
Real Acc: 34.2000%

Epoch 12/29
----------
train Loss: 0.0132
Real Acc: 99.9500%
val Loss: 2.4455
Real Acc: 32.6000%

Epoch 13/29
----------
train Loss: 0.0086
Real Acc: 99.9500%
val Loss: 2.5108
Real Acc: 32.4500%

Epoch 14/29
----------
train Loss: 0.0060
Real Acc: 100.0000%
val Loss: 2.5134
Real Acc: 32.7000%

Epoch 15/29
----------
train Loss: 0.0053
Real Acc: 100.0000%
val Loss: 2.5601
Real Acc: 32.4000%

Epoch 16/29
----------
train Loss: 0.0046
Real Acc: 100.0000%
val Loss: 2.5423
Real Acc: 32.3500%

Epoch 17/29
----------
train Loss: 0.0037
Real Acc: 100.0000%
val Loss: 2.5951
Real Acc: 32.3000%

Epoch 18/29
----------
train Loss: 0.0036
Real Acc: 100.0000%
val Loss: 2.5950
Real Acc: 31.7000%

Epoch 19/29
----------
train Loss: 0.0036
Real Acc: 100.0000%
val Loss: 2.6511
Real Acc: 30.7500%

Epoch 20/29
----------
train Loss: 0.0033
Real Acc: 100.0000%
val Loss: 2.5957
Real Acc: 31.8000%

Epoch 21/29
----------
train Loss: 0.0025
Real Acc: 100.0000%
val Loss: 2.6034
Real Acc: 32.0500%

Epoch 22/29
----------
train Loss: 0.0024
Real Acc: 99.9833%
val Loss: 2.6285
Real Acc: 32.1500%

Epoch 23/29
----------
train Loss: 0.0023
Real Acc: 99.9833%
val Loss: 2.6378
Real Acc: 31.1500%

Epoch 24/29
----------
train Loss: 0.0021
Real Acc: 100.0000%
val Loss: 2.6533
Real Acc: 31.4000%

Epoch 25/29
----------
train Loss: 0.0021
Real Acc: 100.0000%
val Loss: 2.7124
Real Acc: 31.2000%

Epoch 26/29
----------
train Loss: 0.0016
Real Acc: 100.0000%
val Loss: 2.7074
Real Acc: 31.2500%

Epoch 27/29
----------
train Loss: 0.0046
Real Acc: 99.9500%
val Loss: 2.7412
Real Acc: 32.2000%

Epoch 28/29
----------
train Loss: 0.0020
Real Acc: 100.0000%
val Loss: 2.7484
Real Acc: 31.7000%

Epoch 29/29
----------
train Loss: 0.0016
Real Acc: 100.0000%
val Loss: 2.7004
Real Acc: 31.3500%

Training complete in 177m 35s
Best val Acc: 34.200000
[17.1, 22.900000000000002, 25.8, 28.500000000000004, 28.700000000000003, 27.85, 28.1, 26.200000000000003, 29.299999999999997, 27.450000000000003, 31.7, 34.2, 32.6, 32.45, 32.7, 32.4, 32.35, 32.300000000000004, 31.7, 30.75, 31.8, 32.05, 32.15, 31.15, 31.4, 31.2, 31.25, 32.2, 31.7, 31.35]

test: 31.85%