Training:
Epoch 0/29
----------
train Loss: 2.1273
Real Acc: 16.4667%
val Loss: 1.9676
Real Acc: 24.4500%

Epoch 1/29
----------
train Loss: 1.7759
Real Acc: 31.2917%
val Loss: 1.6623
Real Acc: 35.0250%

Epoch 2/29
----------
train Loss: 1.5021
Real Acc: 42.2417%
val Loss: 1.4561
Real Acc: 43.9750%

Epoch 3/29
----------
train Loss: 1.2490
Real Acc: 51.6750%
val Loss: 1.4422
Real Acc: 45.9750%

Epoch 4/29
----------
train Loss: 1.0087
Real Acc: 61.7833%
val Loss: 1.5060
Real Acc: 48.9750%

Epoch 5/29
----------
train Loss: 0.7989
Real Acc: 70.3083%
val Loss: 1.2986
Real Acc: 52.0250%

Epoch 6/29
----------
train Loss: 0.5930
Real Acc: 78.3917%
val Loss: 1.2370
Real Acc: 56.1500%

Epoch 7/29
----------
train Loss: 0.4467
Real Acc: 83.8000%
val Loss: 1.3151
Real Acc: 57.2000%

Epoch 8/29
----------
train Loss: 0.3082
Real Acc: 89.0333%
val Loss: 1.7117
Real Acc: 52.7000%

Epoch 9/29
----------
train Loss: 0.2523
Real Acc: 91.2583%
val Loss: 1.5950
Real Acc: 51.7750%

Epoch 10/29
----------
train Loss: 0.1003
Real Acc: 97.0583%
val Loss: 1.3544
Real Acc: 60.9750%

Epoch 11/29
----------
train Loss: 0.0429
Real Acc: 99.0583%
val Loss: 1.4600
Real Acc: 59.1250%

Epoch 12/29
----------
train Loss: 0.0254
Real Acc: 99.4500%
val Loss: 1.5344
Real Acc: 58.6500%

Epoch 13/29
----------
train Loss: 0.0270
Real Acc: 99.3667%
val Loss: 1.5850
Real Acc: 60.0000%

Epoch 14/29
----------
train Loss: 0.0424
Real Acc: 98.8417%
val Loss: 1.8854
Real Acc: 55.8500%

Epoch 15/29
----------
train Loss: 0.0422
Real Acc: 98.7833%
val Loss: 1.7959
Real Acc: 57.4750%

Epoch 16/29
----------
train Loss: 0.0546
Real Acc: 98.2833%
val Loss: 1.9755
Real Acc: 54.4250%

Epoch 17/29
----------
train Loss: 0.0472
Real Acc: 98.5417%
val Loss: 1.8705
Real Acc: 57.3000%

Epoch 18/29
----------
train Loss: 0.0372
Real Acc: 98.8833%
val Loss: 1.8895
Real Acc: 57.4750%

Epoch 19/29
----------
train Loss: 0.0452
Real Acc: 98.5083%
val Loss: 2.1098
Real Acc: 55.5500%

Epoch 20/29
----------
train Loss: 0.0216
Real Acc: 99.3583%
val Loss: 1.6473
Real Acc: 60.0750%

Epoch 21/29
----------
train Loss: 0.0088
Real Acc: 99.8500%
val Loss: 1.6561
Real Acc: 60.5000%

Epoch 22/29
----------
train Loss: 0.0057
Real Acc: 99.9167%
val Loss: 1.7044
Real Acc: 61.4000%

Epoch 23/29
----------
train Loss: 0.0055
Real Acc: 99.8750%
val Loss: 1.8257
Real Acc: 61.0000%

Epoch 24/29
----------
train Loss: 0.0046
Real Acc: 99.9167%
val Loss: 1.7694
Real Acc: 61.0000%

Epoch 25/29
----------
train Loss: 0.0043
Real Acc: 99.9583%
val Loss: 1.7329
Real Acc: 61.1000%

Epoch 26/29
----------
train Loss: 0.0023
Real Acc: 99.9833%
val Loss: 1.7681
Real Acc: 61.1250%

Epoch 27/29
----------
train Loss: 0.0148
Real Acc: 99.5917%
val Loss: 2.2281
Real Acc: 55.3000%

Epoch 28/29
----------
train Loss: 0.0192
Real Acc: 99.4667%
val Loss: 1.8948
Real Acc: 59.1000%

Epoch 29/29
----------
train Loss: 0.0075
Real Acc: 99.8417%
val Loss: 2.0165
Real Acc: 59.7750%

Training complete in 357m 54s
Best val Acc: 61.400000
[24.45, 35.025, 43.975, 45.975, 48.975, 52.025, 56.15, 57.2, 52.7, 51.775000000000006, 60.975, 59.12500000000001, 58.650000000000006, 60.0, 55.85, 57.475, 54.425000000000004, 57.300000000000004, 57.475, 55.55, 60.075, 60.5, 61.4, 61.0, 61.0, 61.1, 61.12499999999999, 55.300000000000004, 59.099999999999994, 59.775]

test C: 56.3%
test inC: 63.8%