Training:
Epoch 0/29
----------
train Loss: 2.1669
Real Acc: 15.0083%
val Loss: 1.9751
Real Acc: 19.5750%

Epoch 1/29
----------
train Loss: 1.8382
Real Acc: 28.5000%
val Loss: 1.7621
Real Acc: 31.7250%

Epoch 2/29
----------
train Loss: 1.5699
Real Acc: 39.7917%
val Loss: 1.5204
Real Acc: 41.2000%

Epoch 3/29
----------
train Loss: 1.3526
Real Acc: 48.6083%
val Loss: 1.4817
Real Acc: 42.9250%

Epoch 4/29
----------
train Loss: 1.1395
Real Acc: 56.5750%
val Loss: 1.5016
Real Acc: 45.2500%

Epoch 5/29
----------
train Loss: 0.9312
Real Acc: 65.0250%
val Loss: 1.3885
Real Acc: 50.0000%

Epoch 6/29
----------
train Loss: 0.7464
Real Acc: 72.4083%
val Loss: 1.5575
Real Acc: 47.3750%

Epoch 7/29
----------
train Loss: 0.5308
Real Acc: 81.0667%
val Loss: 1.5729
Real Acc: 50.3250%

Epoch 8/29
----------
train Loss: 0.3756
Real Acc: 86.8583%
val Loss: 1.7177
Real Acc: 48.2750%

Epoch 9/29
----------
train Loss: 0.2729
Real Acc: 90.8750%
val Loss: 1.8177
Real Acc: 49.8000%

Epoch 10/29
----------
train Loss: 0.0953
Real Acc: 97.3833%
val Loss: 1.6225
Real Acc: 54.0750%

Epoch 11/29
----------
train Loss: 0.0321
Real Acc: 99.5250%
val Loss: 1.5921
Real Acc: 55.7000%

Epoch 12/29
----------
train Loss: 0.0199
Real Acc: 99.8083%
val Loss: 1.7501
Real Acc: 54.8750%

Epoch 13/29
----------
train Loss: 0.0217
Real Acc: 99.7083%
val Loss: 1.8315
Real Acc: 53.0000%

Epoch 14/29
----------
train Loss: 0.0283
Real Acc: 99.3500%
val Loss: 2.0868
Real Acc: 50.6500%

Epoch 15/29
----------
train Loss: 0.0441
Real Acc: 98.7750%
val Loss: 2.1421
Real Acc: 50.0000%

Epoch 16/29
----------
train Loss: 0.0552
Real Acc: 98.4917%
val Loss: 2.0453
Real Acc: 51.3000%

Epoch 17/29
----------
train Loss: 0.0535
Real Acc: 98.3500%
val Loss: 2.1007
Real Acc: 51.8750%

Epoch 18/29
----------
train Loss: 0.0347
Real Acc: 99.0500%
val Loss: 2.0444
Real Acc: 52.7750%

Epoch 19/29
----------
train Loss: 0.0342
Real Acc: 99.0167%
val Loss: 2.1410
Real Acc: 54.0250%

Epoch 20/29
----------
train Loss: 0.0169
Real Acc: 99.5833%
val Loss: 1.9097
Real Acc: 56.0750%

Epoch 21/29
----------
train Loss: 0.0051
Real Acc: 99.9750%
val Loss: 1.9278
Real Acc: 56.1000%

Epoch 22/29
----------
train Loss: 0.0053
Real Acc: 99.9417%
val Loss: 2.0419
Real Acc: 55.5250%

Epoch 23/29
----------
train Loss: 0.0066
Real Acc: 99.8833%
val Loss: 2.0042
Real Acc: 55.6500%

Epoch 24/29
----------
train Loss: 0.0037
Real Acc: 99.9750%
val Loss: 2.0009
Real Acc: 55.7250%

Epoch 25/29
----------
train Loss: 0.0032
Real Acc: 99.9750%
val Loss: 2.0332
Real Acc: 55.3750%

Epoch 26/29
----------
train Loss: 0.0066
Real Acc: 99.8917%
val Loss: 2.3989
Real Acc: 50.9250%

Epoch 27/29
----------
train Loss: 0.0216
Real Acc: 99.3833%
val Loss: 2.2106
Real Acc: 53.0000%

Epoch 28/29
----------
train Loss: 0.0085
Real Acc: 99.8083%
val Loss: 2.1113
Real Acc: 54.5250%

Epoch 29/29
----------
train Loss: 0.0099
Real Acc: 99.7417%
val Loss: 2.2593
Real Acc: 53.2250%

Training complete in 354m 53s
Best val Acc: 56.100000
[19.575, 31.725, 41.2, 42.925000000000004, 45.25, 50.0, 47.375, 50.324999999999996, 48.275, 49.8, 54.075, 55.7, 54.87499999999999, 53.0, 50.650000000000006, 50.0, 51.300000000000004, 51.87500000000001, 52.775000000000006, 54.025, 56.074999999999996, 56.10000000000001, 55.525000000000006, 55.65, 55.725, 55.375, 50.925, 53.0, 54.525, 53.225]

test LR: 63.1%
test 2x2: 41.6%