log_r18.txt

 got the python script

=============== RUN 1561071 ===============
Running ...
Namespace(alpha=2.0, batch_size=128, data_dir='/srv/tempdd/svenkata/Datasets/data', dataset='cifar100', decay=0.0001, epochs=2000, gammas=[0.1, 0.1, 0.1], lr_=0.1, manualSeed=None, momentum=0.9, ngpu=1, num_classes=100, resume='', save_dir='/nfs/pyrex/raid6/svenkata/weights/AlignMixup_CVPR22/cifar100/', schedule=[500, 1000, 1500], start_epoch=0, workers=8)
Files already downloaded and verified
Files already downloaded and verified
Resnet_classifier(
  (encoder): ResNet(
    (conv1): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
    (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (layer1): Sequential(
      (0): PreActBlock(
        (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (shortcut): Sequential()
      )
      (1): PreActBlock(
        (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (shortcut): Sequential()
      )
    )
    (layer2): Sequential(
      (0): PreActBlock(
        (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (shortcut): Sequential(
          (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(2, 2), bias=False)
        )
      )
      (1): PreActBlock(
        (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (shortcut): Sequential()
      )
    )
    (layer3): Sequential(
      (0): PreActBlock(
        (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (shortcut): Sequential(
          (0): Conv2d(128, 256, kernel_size=(1, 1), stride=(2, 2), bias=False)
        )
      )
      (1): PreActBlock(
        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (shortcut): Sequential()
      )
    )
    (layer4): Sequential(
      (0): PreActBlock(
        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (shortcut): Sequential(
          (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)
        )
      )
      (1): PreActBlock(
        (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (shortcut): Sequential()
      )
    )
  )
  (classifier): Linear(in_features=512, out_features=100, bias=True)
)
epoch: 0 --> Train loss = 0.0334 Train Accuracy = 4.5740 
------> epoch: 0 --> Test loss = 0.0289 Test Accuracy = 12.1800 
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epoch: 1 --> Train loss = 0.0310 Train Accuracy = 8.0540 
------> epoch: 1 --> Test loss = 0.0249 Test Accuracy = 21.0700 
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epoch: 2 --> Train loss = 0.0286 Train Accuracy = 13.0940 
------> epoch: 2 --> Test loss = 0.0235 Test Accuracy = 26.2100 
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epoch: 3 --> Train loss = 0.0269 Train Accuracy = 16.8560 
------> epoch: 3 --> Test loss = 0.0194 Test Accuracy = 36.7200 
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epoch: 4 --> Train loss = 0.0252 Train Accuracy = 19.5660 
------> epoch: 4 --> Test loss = 0.0176 Test Accuracy = 42.4300 
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epoch: 5 --> Train loss = 0.0243 Train Accuracy = 22.8480 
------> epoch: 5 --> Test loss = 0.0158 Test Accuracy = 46.0800 
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epoch: 6 --> Train loss = 0.0233 Train Accuracy = 25.4920 
------> epoch: 6 --> Test loss = 0.0147 Test Accuracy = 50.5600 
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epoch: 7 --> Train loss = 0.0225 Train Accuracy = 26.0700 
------> epoch: 7 --> Test loss = 0.0135 Test Accuracy = 53.8000 
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epoch: 8 --> Train loss = 0.0220 Train Accuracy = 28.2660 
------> epoch: 8 --> Test loss = 0.0133 Test Accuracy = 54.8800 
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epoch: 9 --> Train loss = 0.0216 Train Accuracy = 25.4600 
------> epoch: 9 --> Test loss = 0.0128 Test Accuracy = 56.5800 
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epoch: 10 --> Train loss = 0.0213 Train Accuracy = 28.6780 
------> epoch: 10 --> Test loss = 0.0130 Test Accuracy = 56.9900 
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epoch: 11 --> Train loss = 0.0209 Train Accuracy = 31.8920 
------> epoch: 11 --> Test loss = 0.0119 Test Accuracy = 59.2800 
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epoch: 12 --> Train loss = 0.0203 Train Accuracy = 30.8420 
------> epoch: 12 --> Test loss = 0.0118 Test Accuracy = 59.3300 
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epoch: 13 --> Train loss = 0.0200 Train Accuracy = 33.0940 
------> epoch: 13 --> Test loss = 0.0117 Test Accuracy = 60.0200 
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epoch: 14 --> Train loss = 0.0198 Train Accuracy = 31.4020 
------> epoch: 14 --> Test loss = 0.0114 Test Accuracy = 61.1500 
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epoch: 15 --> Train loss = 0.0197 Train Accuracy = 31.9260 
------> epoch: 15 --> Test loss = 0.0121 Test Accuracy = 59.6400 
epoch: 16 --> Train loss = 0.0193 Train Accuracy = 33.5120 
------> epoch: 16 --> Test loss = 0.0112 Test Accuracy = 62.4900 
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epoch: 17 --> Train loss = 0.0187 Train Accuracy = 34.6540 
------> epoch: 17 --> Test loss = 0.0109 Test Accuracy = 62.4800 
epoch: 18 --> Train loss = 0.0190 Train Accuracy = 36.2900 
------> epoch: 18 --> Test loss = 0.0123 Test Accuracy = 59.3800 
epoch: 19 --> Train loss = 0.0186 Train Accuracy = 37.3700 
------> epoch: 19 --> Test loss = 0.0112 Test Accuracy = 62.6100 
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epoch: 20 --> Train loss = 0.0186 Train Accuracy = 36.6480 
------> epoch: 20 --> Test loss = 0.0108 Test Accuracy = 62.9300 
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epoch: 21 --> Train loss = 0.0183 Train Accuracy = 39.4200 
------> epoch: 21 --> Test loss = 0.0103 Test Accuracy = 65.0800 
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epoch: 22 --> Train loss = 0.0183 Train Accuracy = 35.8640 
------> epoch: 22 --> Test loss = 0.0108 Test Accuracy = 63.8400 
epoch: 23 --> Train loss = 0.0184 Train Accuracy = 37.2500 
------> epoch: 23 --> Test loss = 0.0103 Test Accuracy = 65.6600 
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epoch: 24 --> Train loss = 0.0179 Train Accuracy = 35.7880 
------> epoch: 24 --> Test loss = 0.0110 Test Accuracy = 64.9300 
epoch: 25 --> Train loss = 0.0177 Train Accuracy = 34.7760 
------> epoch: 25 --> Test loss = 0.0102 Test Accuracy = 65.4200 
epoch: 26 --> Train loss = 0.0181 Train Accuracy = 38.0400 
------> epoch: 26 --> Test loss = 0.0102 Test Accuracy = 65.8400 
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epoch: 27 --> Train loss = 0.0176 Train Accuracy = 38.5900 
------> epoch: 27 --> Test loss = 0.0107 Test Accuracy = 64.1600 
epoch: 28 --> Train loss = 0.0176 Train Accuracy = 37.0940 
------> epoch: 28 --> Test loss = 0.0111 Test Accuracy = 65.4000 
epoch: 29 --> Train loss = 0.0176 Train Accuracy = 37.4740 
------> epoch: 29 --> Test loss = 0.0103 Test Accuracy = 66.0900 
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epoch: 30 --> Train loss = 0.0174 Train Accuracy = 36.4060 
------> epoch: 30 --> Test loss = 0.0101 Test Accuracy = 66.3700 
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epoch: 31 --> Train loss = 0.0173 Train Accuracy = 37.9580 
------> epoch: 31 --> Test loss = 0.0098 Test Accuracy = 66.3600 
epoch: 32 --> Train loss = 0.0174 Train Accuracy = 35.4520 
------> epoch: 32 --> Test loss = 0.0105 Test Accuracy = 65.3100 
epoch: 33 --> Train loss = 0.0173 Train Accuracy = 39.1360 
------> epoch: 33 --> Test loss = 0.0099 Test Accuracy = 66.9400 
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epoch: 34 --> Train loss = 0.0171 Train Accuracy = 38.2680 
------> epoch: 34 --> Test loss = 0.0095 Test Accuracy = 67.9400 
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epoch: 35 --> Train loss = 0.0170 Train Accuracy = 38.0280 
------> epoch: 35 --> Test loss = 0.0092 Test Accuracy = 68.8000 
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epoch: 36 --> Train loss = 0.0172 Train Accuracy = 39.6320 
------> epoch: 36 --> Test loss = 0.0096 Test Accuracy = 68.3500 
epoch: 37 --> Train loss = 0.0170 Train Accuracy = 41.5340 
------> epoch: 37 --> Test loss = 0.0109 Test Accuracy = 65.5500 
epoch: 38 --> Train loss = 0.0170 Train Accuracy = 39.6500 
------> epoch: 38 --> Test loss = 0.0098 Test Accuracy = 68.1600 
epoch: 39 --> Train loss = 0.0172 Train Accuracy = 39.2080 
------> epoch: 39 --> Test loss = 0.0093 Test Accuracy = 69.3000 
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epoch: 40 --> Train loss = 0.0168 Train Accuracy = 39.8160 
------> epoch: 40 --> Test loss = 0.0097 Test Accuracy = 68.0500 
epoch: 41 --> Train loss = 0.0167 Train Accuracy = 39.1840 
------> epoch: 41 --> Test loss = 0.0101 Test Accuracy = 67.0800 
epoch: 42 --> Train loss = 0.0168 Train Accuracy = 38.4480 
------> epoch: 42 --> Test loss = 0.0098 Test Accuracy = 67.8000 
epoch: 43 --> Train loss = 0.0168 Train Accuracy = 38.6940 
------> epoch: 43 --> Test loss = 0.0105 Test Accuracy = 64.9700 
epoch: 44 --> Train loss = 0.0170 Train Accuracy = 39.0920 
------> epoch: 44 --> Test loss = 0.0097 Test Accuracy = 68.0400 
epoch: 45 --> Train loss = 0.0165 Train Accuracy = 39.6980 
------> epoch: 45 --> Test loss = 0.0106 Test Accuracy = 65.6800 
epoch: 46 --> Train loss = 0.0169 Train Accuracy = 41.0400 
------> epoch: 46 --> Test loss = 0.0101 Test Accuracy = 67.1500 
epoch: 47 --> Train loss = 0.0172 Train Accuracy = 39.6480 
------> epoch: 47 --> Test loss = 0.0094 Test Accuracy = 68.9200 
epoch: 48 --> Train loss = 0.0163 Train Accuracy = 39.5340 
------> epoch: 48 --> Test loss = 0.0100 Test Accuracy = 67.4000 
epoch: 49 --> Train loss = 0.0162 Train Accuracy = 41.8260 
------> epoch: 49 --> Test loss = 0.0094 Test Accuracy = 68.8800 
epoch: 50 --> Train loss = 0.0165 Train Accuracy = 40.7400 
------> epoch: 50 --> Test loss = 0.0091 Test Accuracy = 69.6500 
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epoch: 51 --> Train loss = 0.0163 Train Accuracy = 38.6660 
------> epoch: 51 --> Test loss = 0.0097 Test Accuracy = 67.9600 
epoch: 52 --> Train loss = 0.0164 Train Accuracy = 40.3080 
------> epoch: 52 --> Test loss = 0.0099 Test Accuracy = 68.0400 
epoch: 53 --> Train loss = 0.0162 Train Accuracy = 43.4560 
------> epoch: 53 --> Test loss = 0.0101 Test Accuracy = 67.1500 
epoch: 54 --> Train loss = 0.0164 Train Accuracy = 40.0600 
------> epoch: 54 --> Test loss = 0.0100 Test Accuracy = 67.5200 
epoch: 55 --> Train loss = 0.0160 Train Accuracy = 39.1900 
------> epoch: 55 --> Test loss = 0.0095 Test Accuracy = 68.9600 
epoch: 56 --> Train loss = 0.0163 Train Accuracy = 41.6320 
------> epoch: 56 --> Test loss = 0.0093 Test Accuracy = 69.1900 
epoch: 57 --> Train loss = 0.0161 Train Accuracy = 38.9240 
------> epoch: 57 --> Test loss = 0.0097 Test Accuracy = 68.4300 
epoch: 58 --> Train loss = 0.0162 Train Accuracy = 38.3560 
------> epoch: 58 --> Test loss = 0.0099 Test Accuracy = 68.3900 
epoch: 59 --> Train loss = 0.0158 Train Accuracy = 44.1220 
------> epoch: 59 --> Test loss = 0.0101 Test Accuracy = 67.9500 
epoch: 60 --> Train loss = 0.0158 Train Accuracy = 42.4420 
------> epoch: 60 --> Test loss = 0.0091 Test Accuracy = 69.7700 
Saving..
epoch: 61 --> Train loss = 0.0159 Train Accuracy = 42.3120 
------> epoch: 61 --> Test loss = 0.0095 Test Accuracy = 69.7100 
epoch: 62 --> Train loss = 0.0158 Train Accuracy = 38.6800 
------> epoch: 62 --> Test loss = 0.0103 Test Accuracy = 67.8400 
epoch: 63 --> Train loss = 0.0158 Train Accuracy = 40.7820 
------> epoch: 63 --> Test loss = 0.0101 Test Accuracy = 67.6500 
epoch: 64 --> Train loss = 0.0162 Train Accuracy = 37.9440 
------> epoch: 64 --> Test loss = 0.0097 Test Accuracy = 67.7800 
epoch: 65 --> Train loss = 0.0155 Train Accuracy = 40.4380 
------> epoch: 65 --> Test loss = 0.0094 Test Accuracy = 69.3000 
epoch: 66 --> Train loss = 0.0158 Train Accuracy = 43.2180 
------> epoch: 66 --> Test loss = 0.0094 Test Accuracy = 70.0300 
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epoch: 67 --> Train loss = 0.0162 Train Accuracy = 40.9260 
------> epoch: 67 --> Test loss = 0.0091 Test Accuracy = 70.7200 
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epoch: 68 --> Train loss = 0.0153 Train Accuracy = 42.9380 
------> epoch: 68 --> Test loss = 0.0092 Test Accuracy = 69.8700 
epoch: 69 --> Train loss = 0.0157 Train Accuracy = 38.5060 
------> epoch: 69 --> Test loss = 0.0091 Test Accuracy = 69.7300 
epoch: 70 --> Train loss = 0.0160 Train Accuracy = 42.1220 
------> epoch: 70 --> Test loss = 0.0101 Test Accuracy = 68.3000 
epoch: 71 --> Train loss = 0.0157 Train Accuracy = 38.2540 
------> epoch: 71 --> Test loss = 0.0097 Test Accuracy = 68.0900 
epoch: 72 --> Train loss = 0.0158 Train Accuracy = 42.2760 
------> epoch: 72 --> Test loss = 0.0105 Test Accuracy = 66.8900 
epoch: 73 --> Train loss = 0.0154 Train Accuracy = 43.0980 
------> epoch: 73 --> Test loss = 0.0092 Test Accuracy = 69.5400 
epoch: 74 --> Train loss = 0.0158 Train Accuracy = 43.6140 
------> epoch: 74 --> Test loss = 0.0098 Test Accuracy = 68.6200 
epoch: 75 --> Train loss = 0.0158 Train Accuracy = 39.3780 
------> epoch: 75 --> Test loss = 0.0090 Test Accuracy = 70.0300 
epoch: 76 --> Train loss = 0.0157 Train Accuracy = 44.7720 
------> epoch: 76 --> Test loss = 0.0091 Test Accuracy = 70.7800 
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epoch: 77 --> Train loss = 0.0154 Train Accuracy = 42.7040 
------> epoch: 77 --> Test loss = 0.0091 Test Accuracy = 70.3600 
epoch: 78 --> Train loss = 0.0157 Train Accuracy = 40.4680 
------> epoch: 78 --> Test loss = 0.0098 Test Accuracy = 68.1900 
epoch: 79 --> Train loss = 0.0159 Train Accuracy = 43.7980 
------> epoch: 79 --> Test loss = 0.0096 Test Accuracy = 68.7300 
epoch: 80 --> Train loss = 0.0155 Train Accuracy = 39.6900 
------> epoch: 80 --> Test loss = 0.0094 Test Accuracy = 68.8100 
epoch: 81 --> Train loss = 0.0158 Train Accuracy = 42.7700 
------> epoch: 81 --> Test loss = 0.0104 Test Accuracy = 66.6200 
epoch: 82 --> Train loss = 0.0158 Train Accuracy = 44.5360 
------> epoch: 82 --> Test loss = 0.0100 Test Accuracy = 69.5500 
epoch: 83 --> Train loss = 0.0154 Train Accuracy = 45.6840 
------> epoch: 83 --> Test loss = 0.0102 Test Accuracy = 67.3200 
epoch: 84 --> Train loss = 0.0159 Train Accuracy = 42.2980 
------> epoch: 84 --> Test loss = 0.0095 Test Accuracy = 69.6500 
epoch: 85 --> Train loss = 0.0162 Train Accuracy = 42.3540 
------> epoch: 85 --> Test loss = 0.0106 Test Accuracy = 66.8700 
epoch: 86 --> Train loss = 0.0155 Train Accuracy = 41.8400 
------> epoch: 86 --> Test loss = 0.0103 Test Accuracy = 67.2800 
epoch: 87 --> Train loss = 0.0155 Train Accuracy = 41.1420 
------> epoch: 87 --> Test loss = 0.0094 Test Accuracy = 69.6200 
epoch: 88 --> Train loss = 0.0153 Train Accuracy = 39.1600 
------> epoch: 88 --> Test loss = 0.0094 Test Accuracy = 68.9600 
epoch: 89 --> Train loss = 0.0155 Train Accuracy = 43.4800 
------> epoch: 89 --> Test loss = 0.0096 Test Accuracy = 68.8500 
epoch: 90 --> Train loss = 0.0150 Train Accuracy = 40.6440 
------> epoch: 90 --> Test loss = 0.0096 Test Accuracy = 68.5600 
epoch: 91 --> Train loss = 0.0155 Train Accuracy = 40.7780 
------> epoch: 91 --> Test loss = 0.0098 Test Accuracy = 68.7100 
epoch: 92 --> Train loss = 0.0156 Train Accuracy = 41.0480 
------> epoch: 92 --> Test loss = 0.0104 Test Accuracy = 66.6500 
epoch: 93 --> Train loss = 0.0152 Train Accuracy = 43.7920 
------> epoch: 93 --> Test loss = 0.0088 Test Accuracy = 70.5600 
epoch: 94 --> Train loss = 0.0154 Train Accuracy = 43.7640 
------> epoch: 94 --> Test loss = 0.0099 Test Accuracy = 69.1800 
epoch: 95 --> Train loss = 0.0150 Train Accuracy = 42.4540 
------> epoch: 95 --> Test loss = 0.0093 Test Accuracy = 69.6400 
epoch: 96 --> Train loss = 0.0153 Train Accuracy = 45.8860 
------> epoch: 96 --> Test loss = 0.0105 Test Accuracy = 66.2100 
epoch: 97 --> Train loss = 0.0156 Train Accuracy = 43.3180 
------> epoch: 97 --> Test loss = 0.0105 Test Accuracy = 67.3600 
epoch: 98 --> Train loss = 0.0155 Train Accuracy = 42.5140 
------> epoch: 98 --> Test loss = 0.0095 Test Accuracy = 69.4400 
epoch: 99 --> Train loss = 0.0155 Train Accuracy = 46.9820 
------> epoch: 99 --> Test loss = 0.0095 Test Accuracy = 69.2600 
epoch: 100 --> Train loss = 0.0153 Train Accuracy = 42.5000 
------> epoch: 100 --> Test loss = 0.0097 Test Accuracy = 68.9400 
epoch: 101 --> Train loss = 0.0153 Train Accuracy = 39.4000 
------> epoch: 101 --> Test loss = 0.0089 Test Accuracy = 71.0400 
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epoch: 102 --> Train loss = 0.0152 Train Accuracy = 45.1160 
------> epoch: 102 --> Test loss = 0.0097 Test Accuracy = 68.7200 
epoch: 103 --> Train loss = 0.0151 Train Accuracy = 42.7960 
------> epoch: 103 --> Test loss = 0.0103 Test Accuracy = 67.5400 
epoch: 104 --> Train loss = 0.0153 Train Accuracy = 41.8220 
------> epoch: 104 --> Test loss = 0.0102 Test Accuracy = 66.9300 
epoch: 105 --> Train loss = 0.0154 Train Accuracy = 40.0080 
------> epoch: 105 --> Test loss = 0.0097 Test Accuracy = 68.6000 
epoch: 106 --> Train loss = 0.0154 Train Accuracy = 43.1700 
------> epoch: 106 --> Test loss = 0.0095 Test Accuracy = 70.1100 
epoch: 107 --> Train loss = 0.0153 Train Accuracy = 44.4260 
------> epoch: 107 --> Test loss = 0.0088 Test Accuracy = 71.0800 
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epoch: 108 --> Train loss = 0.0152 Train Accuracy = 42.4380 
------> epoch: 108 --> Test loss = 0.0089 Test Accuracy = 71.1500 
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epoch: 109 --> Train loss = 0.0152 Train Accuracy = 44.3080 
------> epoch: 109 --> Test loss = 0.0100 Test Accuracy = 67.8800 
epoch: 110 --> Train loss = 0.0155 Train Accuracy = 41.3800 
------> epoch: 110 --> Test loss = 0.0104 Test Accuracy = 68.2400 
epoch: 111 --> Train loss = 0.0151 Train Accuracy = 40.3760 
------> epoch: 111 --> Test loss = 0.0096 Test Accuracy = 69.7100 
epoch: 112 --> Train loss = 0.0152 Train Accuracy = 43.2220 
------> epoch: 112 --> Test loss = 0.0090 Test Accuracy = 70.5100 
epoch: 113 --> Train loss = 0.0155 Train Accuracy = 45.7140 
------> epoch: 113 --> Test loss = 0.0092 Test Accuracy = 70.3000 
epoch: 114 --> Train loss = 0.0153 Train Accuracy = 42.6420 
------> epoch: 114 --> Test loss = 0.0091 Test Accuracy = 70.6600 
epoch: 115 --> Train loss = 0.0151 Train Accuracy = 44.2180 
------> epoch: 115 --> Test loss = 0.0090 Test Accuracy = 71.0900 
epoch: 116 --> Train loss = 0.0149 Train Accuracy = 47.7080 
------> epoch: 116 --> Test loss = 0.0098 Test Accuracy = 69.3500 
epoch: 117 --> Train loss = 0.0155 Train Accuracy = 43.7020 
------> epoch: 117 --> Test loss = 0.0092 Test Accuracy = 70.5000 
epoch: 118 --> Train loss = 0.0153 Train Accuracy = 40.1940 
------> epoch: 118 --> Test loss = 0.0097 Test Accuracy = 68.7800 
epoch: 119 --> Train loss = 0.0152 Train Accuracy = 45.3620 
------> epoch: 119 --> Test loss = 0.0098 Test Accuracy = 68.1900 
epoch: 120 --> Train loss = 0.0153 Train Accuracy = 42.7380 
------> epoch: 120 --> Test loss = 0.0109 Test Accuracy = 67.3200 
epoch: 121 --> Train loss = 0.0152 Train Accuracy = 41.2260 
------> epoch: 121 --> Test loss = 0.0097 Test Accuracy = 69.4400 
epoch: 122 --> Train loss = 0.0148 Train Accuracy = 45.6000 
------> epoch: 122 --> Test loss = 0.0094 Test Accuracy = 69.7100 
epoch: 123 --> Train loss = 0.0154 Train Accuracy = 44.7700 
------> epoch: 123 --> Test loss = 0.0096 Test Accuracy = 69.3600 
epoch: 124 --> Train loss = 0.0151 Train Accuracy = 44.2040 
------> epoch: 124 --> Test loss = 0.0096 Test Accuracy = 69.3200 
epoch: 125 --> Train loss = 0.0153 Train Accuracy = 43.4760 
------> epoch: 125 --> Test loss = 0.0098 Test Accuracy = 68.5300 
epoch: 126 --> Train loss = 0.0150 Train Accuracy = 42.8080 
------> epoch: 126 --> Test loss = 0.0098 Test Accuracy = 68.8100 
epoch: 127 --> Train loss = 0.0152 Train Accuracy = 43.6580 
------> epoch: 127 --> Test loss = 0.0092 Test Accuracy = 70.9700 
epoch: 128 --> Train loss = 0.0154 Train Accuracy = 43.5680 
------> epoch: 128 --> Test loss = 0.0092 Test Accuracy = 70.6300 
epoch: 129 --> Train loss = 0.0151 Train Accuracy = 42.5220 
------> epoch: 129 --> Test loss = 0.0095 Test Accuracy = 69.1200 
epoch: 130 --> Train loss = 0.0152 Train Accuracy = 44.3800 
------> epoch: 130 --> Test loss = 0.0106 Test Accuracy = 66.9900 
epoch: 131 --> Train loss = 0.0148 Train Accuracy = 41.9560 
------> epoch: 131 --> Test loss = 0.0105 Test Accuracy = 67.4800 
epoch: 132 --> Train loss = 0.0153 Train Accuracy = 42.1080 
------> epoch: 132 --> Test loss = 0.0092 Test Accuracy = 70.5500 
epoch: 133 --> Train loss = 0.0149 Train Accuracy = 41.7300 
------> epoch: 133 --> Test loss = 0.0094 Test Accuracy = 70.0600 
epoch: 134 --> Train loss = 0.0152 Train Accuracy = 42.1960 
------> epoch: 134 --> Test loss = 0.0094 Test Accuracy = 70.3700 
epoch: 135 --> Train loss = 0.0156 Train Accuracy = 42.5060 
------> epoch: 135 --> Test loss = 0.0091 Test Accuracy = 70.4400 
epoch: 136 --> Train loss = 0.0150 Train Accuracy = 44.8140 
------> epoch: 136 --> Test loss = 0.0097 Test Accuracy = 69.3600 
epoch: 137 --> Train loss = 0.0152 Train Accuracy = 42.3120 
------> epoch: 137 --> Test loss = 0.0098 Test Accuracy = 68.7200 
epoch: 138 --> Train loss = 0.0152 Train Accuracy = 43.1880 
------> epoch: 138 --> Test loss = 0.0107 Test Accuracy = 66.7400 
epoch: 139 --> Train loss = 0.0149 Train Accuracy = 43.7480 
------> epoch: 139 --> Test loss = 0.0100 Test Accuracy = 67.6600 
epoch: 140 --> Train loss = 0.0147 Train Accuracy = 43.7520 
------> epoch: 140 --> Test loss = 0.0097 Test Accuracy = 68.6500 
epoch: 141 --> Train loss = 0.0151 Train Accuracy = 42.6160 
------> epoch: 141 --> Test loss = 0.0089 Test Accuracy = 70.9700 
epoch: 142 --> Train loss = 0.0150 Train Accuracy = 45.0620 
------> epoch: 142 --> Test loss = 0.0113 Test Accuracy = 65.0300 
epoch: 143 --> Train loss = 0.0150 Train Accuracy = 38.9260 
------> epoch: 143 --> Test loss = 0.0090 Test Accuracy = 70.8100 
epoch: 144 --> Train loss = 0.0151 Train Accuracy = 44.0940 
------> epoch: 144 --> Test loss = 0.0098 Test Accuracy = 69.0100 
epoch: 145 --> Train loss = 0.0155 Train Accuracy = 44.6620 
------> epoch: 145 --> Test loss = 0.0103 Test Accuracy = 68.2700 
epoch: 146 --> Train loss = 0.0147 Train Accuracy = 43.7280 
------> epoch: 146 --> Test loss = 0.0094 Test Accuracy = 69.4100 
epoch: 147 --> Train loss = 0.0151 Train Accuracy = 44.0580 
------> epoch: 147 --> Test loss = 0.0094 Test Accuracy = 70.2000 
epoch: 148 --> Train loss = 0.0148 Train Accuracy = 41.6060 
------> epoch: 148 --> Test loss = 0.0098 Test Accuracy = 69.3600 
epoch: 149 --> Train loss = 0.0150 Train Accuracy = 44.4600 
------> epoch: 149 --> Test loss = 0.0101 Test Accuracy = 68.3200 
epoch: 150 --> Train loss = 0.0149 Train Accuracy = 42.4560 
------> epoch: 150 --> Test loss = 0.0103 Test Accuracy = 67.8800 
epoch: 151 --> Train loss = 0.0155 Train Accuracy = 41.0680 
------> epoch: 151 --> Test loss = 0.0091 Test Accuracy = 70.5500 
epoch: 152 --> Train loss = 0.0149 Train Accuracy = 43.6080 
------> epoch: 152 --> Test loss = 0.0097 Test Accuracy = 69.4800 
epoch: 153 --> Train loss = 0.0156 Train Accuracy = 44.9860 
------> epoch: 153 --> Test loss = 0.0091 Test Accuracy = 70.8000 
epoch: 154 --> Train loss = 0.0151 Train Accuracy = 40.2240 
------> epoch: 154 --> Test loss = 0.0095 Test Accuracy = 69.8900 
epoch: 155 --> Train loss = 0.0149 Train Accuracy = 46.9460 
------> epoch: 155 --> Test loss = 0.0097 Test Accuracy = 69.9100 
epoch: 156 --> Train loss = 0.0147 Train Accuracy = 44.9060 
------> epoch: 156 --> Test loss = 0.0098 Test Accuracy = 68.7000 
epoch: 157 --> Train loss = 0.0153 Train Accuracy = 41.5040 
------> epoch: 157 --> Test loss = 0.0093 Test Accuracy = 69.9900 
epoch: 158 --> Train loss = 0.0152 Train Accuracy = 40.8600 
------> epoch: 158 --> Test loss = 0.0105 Test Accuracy = 66.8500 
epoch: 159 --> Train loss = 0.0150 Train Accuracy = 45.6420 
------> epoch: 159 --> Test loss = 0.0093 Test Accuracy = 69.9700 
epoch: 160 --> Train loss = 0.0149 Train Accuracy = 45.1100 
------> epoch: 160 --> Test loss = 0.0090 Test Accuracy = 70.9200 
epoch: 161 --> Train loss = 0.0150 Train Accuracy = 42.3300 
------> epoch: 161 --> Test loss = 0.0094 Test Accuracy = 69.9000 
epoch: 162 --> Train loss = 0.0147 Train Accuracy = 43.9840 
------> epoch: 162 --> Test loss = 0.0091 Test Accuracy = 71.1900 
Saving..
epoch: 163 --> Train loss = 0.0151 Train Accuracy = 43.8100 
------> epoch: 163 --> Test loss = 0.0096 Test Accuracy = 69.8200 
epoch: 164 --> Train loss = 0.0148 Train Accuracy = 40.8920 
------> epoch: 164 --> Test loss = 0.0092 Test Accuracy = 70.0000 
epoch: 165 --> Train loss = 0.0153 Train Accuracy = 42.5320 
------> epoch: 165 --> Test loss = 0.0095 Test Accuracy = 70.3700 
epoch: 166 --> Train loss = 0.0152 Train Accuracy = 44.6140 
------> epoch: 166 --> Test loss = 0.0091 Test Accuracy = 70.7800 
epoch: 167 --> Train loss = 0.0151 Train Accuracy = 44.1640 
------> epoch: 167 --> Test loss = 0.0088 Test Accuracy = 71.6800 
Saving..
epoch: 168 --> Train loss = 0.0153 Train Accuracy = 44.2120 
------> epoch: 168 --> Test loss = 0.0096 Test Accuracy = 69.1200 
epoch: 169 --> Train loss = 0.0148 Train Accuracy = 42.2200 
------> epoch: 169 --> Test loss = 0.0100 Test Accuracy = 68.0800 
epoch: 170 --> Train loss = 0.0148 Train Accuracy = 42.5840 
------> epoch: 170 --> Test loss = 0.0096 Test Accuracy = 68.9200 
epoch: 171 --> Train loss = 0.0151 Train Accuracy = 46.1040 
------> epoch: 171 --> Test loss = 0.0094 Test Accuracy = 70.4900 
epoch: 172 --> Train loss = 0.0151 Train Accuracy = 43.1220 
------> epoch: 172 --> Test loss = 0.0094 Test Accuracy = 70.4500 
epoch: 173 --> Train loss = 0.0153 Train Accuracy = 44.6660 
------> epoch: 173 --> Test loss = 0.0089 Test Accuracy = 71.2900 
epoch: 174 --> Train loss = 0.0147 Train Accuracy = 39.5480 
------> epoch: 174 --> Test loss = 0.0095 Test Accuracy = 70.7900 
epoch: 175 --> Train loss = 0.0150 Train Accuracy = 42.2600 
------> epoch: 175 --> Test loss = 0.0094 Test Accuracy = 69.4200 
epoch: 176 --> Train loss = 0.0151 Train Accuracy = 42.0540 
------> epoch: 176 --> Test loss = 0.0095 Test Accuracy = 70.1500 
epoch: 177 --> Train loss = 0.0153 Train Accuracy = 45.9980 
------> epoch: 177 --> Test loss = 0.0097 Test Accuracy = 69.0800 
epoch: 178 --> Train loss = 0.0148 Train Accuracy = 42.9200 
------> epoch: 178 --> Test loss = 0.0095 Test Accuracy = 69.6600 
epoch: 179 --> Train loss = 0.0151 Train Accuracy = 40.9700 
------> epoch: 179 --> Test loss = 0.0096 Test Accuracy = 69.6700 
epoch: 180 --> Train loss = 0.0148 Train Accuracy = 43.2980 
------> epoch: 180 --> Test loss = 0.0097 Test Accuracy = 69.5500 
epoch: 181 --> Train loss = 0.0150 Train Accuracy = 43.4900 
------> epoch: 181 --> Test loss = 0.0093 Test Accuracy = 69.6600 
epoch: 182 --> Train loss = 0.0146 Train Accuracy = 46.2680 
------> epoch: 182 --> Test loss = 0.0096 Test Accuracy = 69.8700 
epoch: 183 --> Train loss = 0.0151 Train Accuracy = 43.2240 
------> epoch: 183 --> Test loss = 0.0097 Test Accuracy = 70.4100 
epoch: 184 --> Train loss = 0.0149 Train Accuracy = 41.7640 
------> epoch: 184 --> Test loss = 0.0096 Test Accuracy = 69.2200 
epoch: 185 --> Train loss = 0.0152 Train Accuracy = 42.2060 
------> epoch: 185 --> Test loss = 0.0096 Test Accuracy = 69.8600 
epoch: 186 --> Train loss = 0.0149 Train Accuracy = 42.1740 
------> epoch: 186 --> Test loss = 0.0092 Test Accuracy = 69.9200 
epoch: 187 --> Train loss = 0.0153 Train Accuracy = 44.5860 
------> epoch: 187 --> Test loss = 0.0095 Test Accuracy = 69.4600 
epoch: 188 --> Train loss = 0.0146 Train Accuracy = 44.1300 
------> epoch: 188 --> Test loss = 0.0089 Test Accuracy = 71.2700 
epoch: 189 --> Train loss = 0.0148 Train Accuracy = 42.0760 
------> epoch: 189 --> Test loss = 0.0094 Test Accuracy = 70.1700 
epoch: 190 --> Train loss = 0.0146 Train Accuracy = 45.4460 
------> epoch: 190 --> Test loss = 0.0094 Test Accuracy = 70.3800 
epoch: 191 --> Train loss = 0.0147 Train Accuracy = 38.5700 
------> epoch: 191 --> Test loss = 0.0089 Test Accuracy = 71.2200 
epoch: 192 --> Train loss = 0.0150 Train Accuracy = 42.5080 
------> epoch: 192 --> Test loss = 0.0096 Test Accuracy = 69.7000 
epoch: 193 --> Train loss = 0.0148 Train Accuracy = 43.0240 
------> epoch: 193 --> Test loss = 0.0097 Test Accuracy = 69.6700 
epoch: 194 --> Train loss = 0.0149 Train Accuracy = 45.5100 
------> epoch: 194 --> Test loss = 0.0097 Test Accuracy = 69.4000 
epoch: 195 --> Train loss = 0.0143 Train Accuracy = 44.9860 
------> epoch: 195 --> Test loss = 0.0098 Test Accuracy = 69.7500 
epoch: 196 --> Train loss = 0.0148 Train Accuracy = 42.3000 
------> epoch: 196 --> Test loss = 0.0092 Test Accuracy = 69.9800 
epoch: 197 --> Train loss = 0.0147 Train Accuracy = 40.1140 
------> epoch: 197 --> Test loss = 0.0092 Test Accuracy = 70.6300 
epoch: 198 --> Train loss = 0.0151 Train Accuracy = 41.3000 
------> epoch: 198 --> Test loss = 0.0093 Test Accuracy = 70.2700 
epoch: 199 --> Train loss = 0.0151 Train Accuracy = 43.0460 
------> epoch: 199 --> Test loss = 0.0095 Test Accuracy = 69.5800 
epoch: 200 --> Train loss = 0.0145 Train Accuracy = 45.3480 
------> epoch: 200 --> Test loss = 0.0098 Test Accuracy = 69.3700 
epoch: 201 --> Train loss = 0.0149 Train Accuracy = 44.3720 
------> epoch: 201 --> Test loss = 0.0096 Test Accuracy = 69.5500 
epoch: 202 --> Train loss = 0.0151 Train Accuracy = 38.7820 
------> epoch: 202 --> Test loss = 0.0093 Test Accuracy = 70.7900 
epoch: 203 --> Train loss = 0.0148 Train Accuracy = 42.7080 
------> epoch: 203 --> Test loss = 0.0088 Test Accuracy = 71.2200 
epoch: 204 --> Train loss = 0.0147 Train Accuracy = 46.9920 
------> epoch: 204 --> Test loss = 0.0091 Test Accuracy = 70.8500 
epoch: 205 --> Train loss = 0.0150 Train Accuracy = 43.3180 
------> epoch: 205 --> Test loss = 0.0096 Test Accuracy = 69.5200 
epoch: 206 --> Train loss = 0.0147 Train Accuracy = 42.6960 
------> epoch: 206 --> Test loss = 0.0090 Test Accuracy = 70.8000 
epoch: 207 --> Train loss = 0.0145 Train Accuracy = 44.5940 
------> epoch: 207 --> Test loss = 0.0091 Test Accuracy = 71.1100 
epoch: 208 --> Train loss = 0.0147 Train Accuracy = 42.0800 
------> epoch: 208 --> Test loss = 0.0092 Test Accuracy = 70.5300 
epoch: 209 --> Train loss = 0.0146 Train Accuracy = 41.5460 
------> epoch: 209 --> Test loss = 0.0092 Test Accuracy = 70.4800 
epoch: 210 --> Train loss = 0.0144 Train Accuracy = 42.4520 
------> epoch: 210 --> Test loss = 0.0094 Test Accuracy = 70.4300 
epoch: 211 --> Train loss = 0.0145 Train Accuracy = 43.5240 
------> epoch: 211 --> Test loss = 0.0098 Test Accuracy = 69.1800 
epoch: 212 --> Train loss = 0.0149 Train Accuracy = 45.6980 
------> epoch: 212 --> Test loss = 0.0093 Test Accuracy = 70.8000 
epoch: 213 --> Train loss = 0.0149 Train Accuracy = 43.8440 
------> epoch: 213 --> Test loss = 0.0094 Test Accuracy = 70.7800 
epoch: 214 --> Train loss = 0.0151 Train Accuracy = 42.4520 
------> epoch: 214 --> Test loss = 0.0102 Test Accuracy = 68.5500 
epoch: 215 --> Train loss = 0.0144 Train Accuracy = 42.6820 
------> epoch: 215 --> Test loss = 0.0098 Test Accuracy = 68.9200 
epoch: 216 --> Train loss = 0.0151 Train Accuracy = 40.3560 
------> epoch: 216 --> Test loss = 0.0092 Test Accuracy = 70.2000 
epoch: 217 --> Train loss = 0.0149 Train Accuracy = 43.2520 
------> epoch: 217 --> Test loss = 0.0094 Test Accuracy = 69.7800 
epoch: 218 --> Train loss = 0.0150 Train Accuracy = 44.3820 
------> epoch: 218 --> Test loss = 0.0099 Test Accuracy = 68.9800 
epoch: 219 --> Train loss = 0.0147 Train Accuracy = 41.1360 
------> epoch: 219 --> Test loss = 0.0092 Test Accuracy = 70.7200 
epoch: 220 --> Train loss = 0.0151 Train Accuracy = 41.4800 
------> epoch: 220 --> Test loss = 0.0091 Test Accuracy = 71.5200 
epoch: 221 --> Train loss = 0.0151 Train Accuracy = 42.2820 
------> epoch: 221 --> Test loss = 0.0098 Test Accuracy = 68.6000 
epoch: 222 --> Train loss = 0.0146 Train Accuracy = 45.2320 
------> epoch: 222 --> Test loss = 0.0095 Test Accuracy = 69.1300 
epoch: 223 --> Train loss = 0.0153 Train Accuracy = 45.1240 
------> epoch: 223 --> Test loss = 0.0091 Test Accuracy = 70.6600 
epoch: 224 --> Train loss = 0.0147 Train Accuracy = 43.0420 
------> epoch: 224 --> Test loss = 0.0097 Test Accuracy = 69.4800 
epoch: 225 --> Train loss = 0.0144 Train Accuracy = 46.8780 
------> epoch: 225 --> Test loss = 0.0089 Test Accuracy = 71.4800 
epoch: 226 --> Train loss = 0.0148 Train Accuracy = 43.1660 
------> epoch: 226 --> Test loss = 0.0095 Test Accuracy = 70.0400 
epoch: 227 --> Train loss = 0.0151 Train Accuracy = 40.8640 
------> epoch: 227 --> Test loss = 0.0091 Test Accuracy = 70.3100 
epoch: 228 --> Train loss = 0.0142 Train Accuracy = 45.5760 
------> epoch: 228 --> Test loss = 0.0094 Test Accuracy = 70.2900 
epoch: 229 --> Train loss = 0.0149 Train Accuracy = 44.0280 
------> epoch: 229 --> Test loss = 0.0094 Test Accuracy = 70.3100 
epoch: 230 --> Train loss = 0.0150 Train Accuracy = 44.7720 
------> epoch: 230 --> Test loss = 0.0094 Test Accuracy = 70.1000 
epoch: 231 --> Train loss = 0.0151 Train Accuracy = 41.9660 
------> epoch: 231 --> Test loss = 0.0096 Test Accuracy = 69.6900 
epoch: 232 --> Train loss = 0.0146 Train Accuracy = 43.3200 
------> epoch: 232 --> Test loss = 0.0095 Test Accuracy = 69.5900 
epoch: 233 --> Train loss = 0.0145 Train Accuracy = 45.4780 
------> epoch: 233 --> Test loss = 0.0098 Test Accuracy = 68.8800 
epoch: 234 --> Train loss = 0.0148 Train Accuracy = 43.4780 
------> epoch: 234 --> Test loss = 0.0091 Test Accuracy = 70.9700 
epoch: 235 --> Train loss = 0.0153 Train Accuracy = 44.0300 
------> epoch: 235 --> Test loss = 0.0089 Test Accuracy = 71.0400 
epoch: 236 --> Train loss = 0.0152 Train Accuracy = 43.0660 
------> epoch: 236 --> Test loss = 0.0089 Test Accuracy = 71.2200 
epoch: 237 --> Train loss = 0.0151 Train Accuracy = 44.4720 
------> epoch: 237 --> Test loss = 0.0102 Test Accuracy = 68.2300 
epoch: 238 --> Train loss = 0.0146 Train Accuracy = 43.0660 
------> epoch: 238 --> Test loss = 0.0093 Test Accuracy = 70.6100 
epoch: 239 --> Train loss = 0.0147 Train Accuracy = 42.4400 
------> epoch: 239 --> Test loss = 0.0092 Test Accuracy = 71.0400 
epoch: 240 --> Train loss = 0.0149 Train Accuracy = 41.7900 
------> epoch: 240 --> Test loss = 0.0089 Test Accuracy = 71.4200 
epoch: 241 --> Train loss = 0.0148 Train Accuracy = 44.1660 
------> epoch: 241 --> Test loss = 0.0094 Test Accuracy = 69.7900 
epoch: 242 --> Train loss = 0.0149 Train Accuracy = 45.8100 
------> epoch: 242 --> Test loss = 0.0099 Test Accuracy = 68.9300 
epoch: 243 --> Train loss = 0.0150 Train Accuracy = 40.8980 
------> epoch: 243 --> Test loss = 0.0096 Test Accuracy = 68.8100 
epoch: 244 --> Train loss = 0.0149 Train Accuracy = 43.8880 
------> epoch: 244 --> Test loss = 0.0096 Test Accuracy = 69.5600 
epoch: 245 --> Train loss = 0.0147 Train Accuracy = 44.0360 
------> epoch: 245 --> Test loss = 0.0097 Test Accuracy = 69.0900 
epoch: 246 --> Train loss = 0.0145 Train Accuracy = 41.0720 
------> epoch: 246 --> Test loss = 0.0092 Test Accuracy = 71.6800 
epoch: 247 --> Train loss = 0.0145 Train Accuracy = 44.1960 
------> epoch: 247 --> Test loss = 0.0091 Test Accuracy = 70.5100 
epoch: 248 --> Train loss = 0.0149 Train Accuracy = 43.0940 
------> epoch: 248 --> Test loss = 0.0089 Test Accuracy = 71.0200 
epoch: 249 --> Train loss = 0.0147 Train Accuracy = 43.9320 
------> epoch: 249 --> Test loss = 0.0093 Test Accuracy = 69.9900 
epoch: 250 --> Train loss = 0.0151 Train Accuracy = 43.8700 
------> epoch: 250 --> Test loss = 0.0090 Test Accuracy = 71.1400 
epoch: 251 --> Train loss = 0.0146 Train Accuracy = 44.5480 
------> epoch: 251 --> Test loss = 0.0093 Test Accuracy = 70.3300 
epoch: 252 --> Train loss = 0.0148 Train Accuracy = 41.7520 
------> epoch: 252 --> Test loss = 0.0093 Test Accuracy = 70.2100 
epoch: 253 --> Train loss = 0.0150 Train Accuracy = 44.3500 
------> epoch: 253 --> Test loss = 0.0095 Test Accuracy = 69.3300 
epoch: 254 --> Train loss = 0.0151 Train Accuracy = 40.2240 
------> epoch: 254 --> Test loss = 0.0087 Test Accuracy = 71.4400 
epoch: 255 --> Train loss = 0.0146 Train Accuracy = 43.2600 
------> epoch: 255 --> Test loss = 0.0091 Test Accuracy = 70.8800 
epoch: 256 --> Train loss = 0.0148 Train Accuracy = 44.8580 
------> epoch: 256 --> Test loss = 0.0095 Test Accuracy = 70.3600 
epoch: 257 --> Train loss = 0.0146 Train Accuracy = 45.7840 
------> epoch: 257 --> Test loss = 0.0096 Test Accuracy = 69.8500 
epoch: 258 --> Train loss = 0.0147 Train Accuracy = 43.4480 
------> epoch: 258 --> Test loss = 0.0089 Test Accuracy = 71.6800 
epoch: 259 --> Train loss = 0.0149 Train Accuracy = 46.0360 
------> epoch: 259 --> Test loss = 0.0093 Test Accuracy = 70.1000 
epoch: 260 --> Train loss = 0.0145 Train Accuracy = 42.8380 
------> epoch: 260 --> Test loss = 0.0092 Test Accuracy = 70.5200 
epoch: 261 --> Train loss = 0.0146 Train Accuracy = 44.0700 
------> epoch: 261 --> Test loss = 0.0089 Test Accuracy = 71.4900 
epoch: 262 --> Train loss = 0.0145 Train Accuracy = 42.9120 
------> epoch: 262 --> Test loss = 0.0097 Test Accuracy = 69.4200 
epoch: 263 --> Train loss = 0.0150 Train Accuracy = 43.2900 
------> epoch: 263 --> Test loss = 0.0092 Test Accuracy = 70.6800 
epoch: 264 --> Train loss = 0.0149 Train Accuracy = 44.6940 
------> epoch: 264 --> Test loss = 0.0095 Test Accuracy = 69.6500 
epoch: 265 --> Train loss = 0.0149 Train Accuracy = 41.7080 
------> epoch: 265 --> Test loss = 0.0097 Test Accuracy = 69.5500 
epoch: 266 --> Train loss = 0.0148 Train Accuracy = 44.5700 
------> epoch: 266 --> Test loss = 0.0095 Test Accuracy = 69.6000 
epoch: 267 --> Train loss = 0.0149 Train Accuracy = 44.9000 
------> epoch: 267 --> Test loss = 0.0092 Test Accuracy = 70.6200 
epoch: 268 --> Train loss = 0.0145 Train Accuracy = 43.3180 
------> epoch: 268 --> Test loss = 0.0091 Test Accuracy = 71.3100 
epoch: 269 --> Train loss = 0.0148 Train Accuracy = 43.3820 
------> epoch: 269 --> Test loss = 0.0092 Test Accuracy = 71.1100 
epoch: 270 --> Train loss = 0.0147 Train Accuracy = 41.5540 
------> epoch: 270 --> Test loss = 0.0094 Test Accuracy = 69.6900 
epoch: 271 --> Train loss = 0.0146 Train Accuracy = 45.7780 
------> epoch: 271 --> Test loss = 0.0092 Test Accuracy = 71.0700 
epoch: 272 --> Train loss = 0.0150 Train Accuracy = 44.1520 
------> epoch: 272 --> Test loss = 0.0097 Test Accuracy = 69.0900 
epoch: 273 --> Train loss = 0.0145 Train Accuracy = 46.3860 
------> epoch: 273 --> Test loss = 0.0092 Test Accuracy = 71.0400 
epoch: 274 --> Train loss = 0.0152 Train Accuracy = 40.9760 
------> epoch: 274 --> Test loss = 0.0089 Test Accuracy = 71.4500 
epoch: 275 --> Train loss = 0.0149 Train Accuracy = 44.8840 
------> epoch: 275 --> Test loss = 0.0087 Test Accuracy = 71.9100 
Saving..
epoch: 276 --> Train loss = 0.0151 Train Accuracy = 40.6720 
------> epoch: 276 --> Test loss = 0.0095 Test Accuracy = 70.0800 
epoch: 277 --> Train loss = 0.0146 Train Accuracy = 41.8400 
------> epoch: 277 --> Test loss = 0.0099 Test Accuracy = 68.9800 
epoch: 278 --> Train loss = 0.0145 Train Accuracy = 44.3460 
------> epoch: 278 --> Test loss = 0.0091 Test Accuracy = 70.6800 
epoch: 279 --> Train loss = 0.0145 Train Accuracy = 44.1060 
------> epoch: 279 --> Test loss = 0.0091 Test Accuracy = 71.1300 
epoch: 280 --> Train loss = 0.0144 Train Accuracy = 42.5960 
------> epoch: 280 --> Test loss = 0.0095 Test Accuracy = 70.3300 
epoch: 281 --> Train loss = 0.0149 Train Accuracy = 40.1100 
------> epoch: 281 --> Test loss = 0.0090 Test Accuracy = 71.1300 
epoch: 282 --> Train loss = 0.0147 Train Accuracy = 44.4660 
------> epoch: 282 --> Test loss = 0.0089 Test Accuracy = 71.3700 
epoch: 283 --> Train loss = 0.0146 Train Accuracy = 43.6980 
------> epoch: 283 --> Test loss = 0.0087 Test Accuracy = 72.2200 
Saving..
epoch: 284 --> Train loss = 0.0152 Train Accuracy = 43.8700 
------> epoch: 284 --> Test loss = 0.0093 Test Accuracy = 70.5000 
epoch: 285 --> Train loss = 0.0146 Train Accuracy = 41.1300 
------> epoch: 285 --> Test loss = 0.0092 Test Accuracy = 71.0200 
epoch: 286 --> Train loss = 0.0146 Train Accuracy = 43.8620 
------> epoch: 286 --> Test loss = 0.0091 Test Accuracy = 70.6000 
epoch: 287 --> Train loss = 0.0147 Train Accuracy = 44.6000 
------> epoch: 287 --> Test loss = 0.0094 Test Accuracy = 70.5700 
epoch: 288 --> Train loss = 0.0147 Train Accuracy = 42.9400 
------> epoch: 288 --> Test loss = 0.0098 Test Accuracy = 68.3300 
epoch: 289 --> Train loss = 0.0146 Train Accuracy = 43.4760 
------> epoch: 289 --> Test loss = 0.0096 Test Accuracy = 69.0500 
epoch: 290 --> Train loss = 0.0145 Train Accuracy = 45.5120 
------> epoch: 290 --> Test loss = 0.0098 Test Accuracy = 70.2700 
epoch: 291 --> Train loss = 0.0150 Train Accuracy = 41.7820 
------> epoch: 291 --> Test loss = 0.0097 Test Accuracy = 68.9100 
epoch: 292 --> Train loss = 0.0147 Train Accuracy = 42.0800 
------> epoch: 292 --> Test loss = 0.0095 Test Accuracy = 69.9400 
epoch: 293 --> Train loss = 0.0146 Train Accuracy = 43.7800 
------> epoch: 293 --> Test loss = 0.0091 Test Accuracy = 70.9300 
epoch: 294 --> Train loss = 0.0148 Train Accuracy = 42.4020 
------> epoch: 294 --> Test loss = 0.0087 Test Accuracy = 72.2200 
epoch: 295 --> Train loss = 0.0148 Train Accuracy = 44.3060 
------> epoch: 295 --> Test loss = 0.0091 Test Accuracy = 71.1100 
epoch: 296 --> Train loss = 0.0145 Train Accuracy = 44.7380 
------> epoch: 296 --> Test loss = 0.0093 Test Accuracy = 70.7700 
epoch: 297 --> Train loss = 0.0152 Train Accuracy = 46.3800 
------> epoch: 297 --> Test loss = 0.0092 Test Accuracy = 70.6800 
epoch: 298 --> Train loss = 0.0150 Train Accuracy = 42.5660 
------> epoch: 298 --> Test loss = 0.0093 Test Accuracy = 70.0700 
epoch: 299 --> Train loss = 0.0146 Train Accuracy = 44.3440 
------> epoch: 299 --> Test loss = 0.0090 Test Accuracy = 71.3200 
epoch: 300 --> Train loss = 0.0150 Train Accuracy = 46.9580 
------> epoch: 300 --> Test loss = 0.0095 Test Accuracy = 69.9500 
epoch: 301 --> Train loss = 0.0146 Train Accuracy = 42.7080 
------> epoch: 301 --> Test loss = 0.0095 Test Accuracy = 69.6200 
epoch: 302 --> Train loss = 0.0148 Train Accuracy = 45.6140 
------> epoch: 302 --> Test loss = 0.0093 Test Accuracy = 70.7600 
epoch: 303 --> Train loss = 0.0150 Train Accuracy = 41.3540 
------> epoch: 303 --> Test loss = 0.0099 Test Accuracy = 69.3200 
epoch: 304 --> Train loss = 0.0145 Train Accuracy = 43.7320 
------> epoch: 304 --> Test loss = 0.0098 Test Accuracy = 69.5700 
epoch: 305 --> Train loss = 0.0149 Train Accuracy = 44.3940 
------> epoch: 305 --> Test loss = 0.0091 Test Accuracy = 70.2300 
epoch: 306 --> Train loss = 0.0147 Train Accuracy = 42.7060 
------> epoch: 306 --> Test loss = 0.0096 Test Accuracy = 70.0600 
epoch: 307 --> Train loss = 0.0146 Train Accuracy = 45.9740 
------> epoch: 307 --> Test loss = 0.0093 Test Accuracy = 70.8200 
epoch: 308 --> Train loss = 0.0145 Train Accuracy = 45.5960 
------> epoch: 308 --> Test loss = 0.0095 Test Accuracy = 70.3300 
epoch: 309 --> Train loss = 0.0149 Train Accuracy = 44.1800 
------> epoch: 309 --> Test loss = 0.0085 Test Accuracy = 72.3200 
Saving..
epoch: 310 --> Train loss = 0.0145 Train Accuracy = 46.1440 
------> epoch: 310 --> Test loss = 0.0094 Test Accuracy = 70.5000 
epoch: 311 --> Train loss = 0.0147 Train Accuracy = 44.7000 
------> epoch: 311 --> Test loss = 0.0097 Test Accuracy = 69.6200 
epoch: 312 --> Train loss = 0.0146 Train Accuracy = 43.3200 
------> epoch: 312 --> Test loss = 0.0101 Test Accuracy = 69.1800 
epoch: 313 --> Train loss = 0.0145 Train Accuracy = 40.6540 
------> epoch: 313 --> Test loss = 0.0094 Test Accuracy = 71.0100 
epoch: 314 --> Train loss = 0.0143 Train Accuracy = 44.5860 
------> epoch: 314 --> Test loss = 0.0097 Test Accuracy = 69.4100 
epoch: 315 --> Train loss = 0.0148 Train Accuracy = 48.5500 
------> epoch: 315 --> Test loss = 0.0096 Test Accuracy = 68.9400 
epoch: 316 --> Train loss = 0.0149 Train Accuracy = 41.6300 
------> epoch: 316 --> Test loss = 0.0093 Test Accuracy = 70.5300 
epoch: 317 --> Train loss = 0.0148 Train Accuracy = 44.7600 
------> epoch: 317 --> Test loss = 0.0094 Test Accuracy = 71.0900 
epoch: 318 --> Train loss = 0.0146 Train Accuracy = 46.1400 
------> epoch: 318 --> Test loss = 0.0090 Test Accuracy = 71.3400 
epoch: 319 --> Train loss = 0.0147 Train Accuracy = 43.4080 
------> epoch: 319 --> Test loss = 0.0091 Test Accuracy = 71.0600 
epoch: 320 --> Train loss = 0.0148 Train Accuracy = 41.9900 
------> epoch: 320 --> Test loss = 0.0094 Test Accuracy = 70.2100 
epoch: 321 --> Train loss = 0.0144 Train Accuracy = 43.9860 
------> epoch: 321 --> Test loss = 0.0096 Test Accuracy = 69.6400 
epoch: 322 --> Train loss = 0.0144 Train Accuracy = 43.3180 
------> epoch: 322 --> Test loss = 0.0091 Test Accuracy = 71.3600 
epoch: 323 --> Train loss = 0.0146 Train Accuracy = 44.0100 
------> epoch: 323 --> Test loss = 0.0090 Test Accuracy = 71.7400 
epoch: 324 --> Train loss = 0.0144 Train Accuracy = 44.8520 
------> epoch: 324 --> Test loss = 0.0093 Test Accuracy = 70.2800 
epoch: 325 --> Train loss = 0.0148 Train Accuracy = 43.1160 
------> epoch: 325 --> Test loss = 0.0089 Test Accuracy = 71.1300 
epoch: 326 --> Train loss = 0.0142 Train Accuracy = 42.4880 
------> epoch: 326 --> Test loss = 0.0093 Test Accuracy = 69.8900 
epoch: 327 --> Train loss = 0.0145 Train Accuracy = 45.3260 
------> epoch: 327 --> Test loss = 0.0092 Test Accuracy = 71.0100 
epoch: 328 --> Train loss = 0.0145 Train Accuracy = 43.9700 
------> epoch: 328 --> Test loss = 0.0094 Test Accuracy = 70.4400 
epoch: 329 --> Train loss = 0.0144 Train Accuracy = 43.4820 
------> epoch: 329 --> Test loss = 0.0089 Test Accuracy = 71.0400 
epoch: 330 --> Train loss = 0.0143 Train Accuracy = 43.4060 
------> epoch: 330 --> Test loss = 0.0094 Test Accuracy = 70.1700 
epoch: 331 --> Train loss = 0.0143 Train Accuracy = 41.0780 
------> epoch: 331 --> Test loss = 0.0094 Test Accuracy = 70.7400 
epoch: 332 --> Train loss = 0.0141 Train Accuracy = 41.7060 
------> epoch: 332 --> Test loss = 0.0091 Test Accuracy = 71.5600 
epoch: 333 --> Train loss = 0.0151 Train Accuracy = 44.5300 
------> epoch: 333 --> Test loss = 0.0099 Test Accuracy = 69.6500 
epoch: 334 --> Train loss = 0.0146 Train Accuracy = 41.9980 
------> epoch: 334 --> Test loss = 0.0091 Test Accuracy = 70.7200 
epoch: 335 --> Train loss = 0.0145 Train Accuracy = 47.2700 
------> epoch: 335 --> Test loss = 0.0093 Test Accuracy = 70.1300 
epoch: 336 --> Train loss = 0.0146 Train Accuracy = 44.1020 
------> epoch: 336 --> Test loss = 0.0086 Test Accuracy = 72.4200 
Saving..
epoch: 337 --> Train loss = 0.0148 Train Accuracy = 43.9640 
------> epoch: 337 --> Test loss = 0.0091 Test Accuracy = 70.5500 
epoch: 338 --> Train loss = 0.0143 Train Accuracy = 44.5720 
------> epoch: 338 --> Test loss = 0.0088 Test Accuracy = 72.1300 
epoch: 339 --> Train loss = 0.0149 Train Accuracy = 42.3160 
------> epoch: 339 --> Test loss = 0.0098 Test Accuracy = 69.9300 
epoch: 340 --> Train loss = 0.0148 Train Accuracy = 43.5980 
------> epoch: 340 --> Test loss = 0.0089 Test Accuracy = 71.0800 
epoch: 341 --> Train loss = 0.0145 Train Accuracy = 45.3860 
------> epoch: 341 --> Test loss = 0.0098 Test Accuracy = 69.6900 
epoch: 342 --> Train loss = 0.0147 Train Accuracy = 45.1160 
------> epoch: 342 --> Test loss = 0.0094 Test Accuracy = 70.4000 
epoch: 343 --> Train loss = 0.0148 Train Accuracy = 40.6340 
------> epoch: 343 --> Test loss = 0.0088 Test Accuracy = 72.3500 
epoch: 344 --> Train loss = 0.0146 Train Accuracy = 41.2820 
------> epoch: 344 --> Test loss = 0.0095 Test Accuracy = 69.9800 
epoch: 345 --> Train loss = 0.0149 Train Accuracy = 44.9200 
------> epoch: 345 --> Test loss = 0.0094 Test Accuracy = 69.8800 
epoch: 346 --> Train loss = 0.0146 Train Accuracy = 46.6980 
------> epoch: 346 --> Test loss = 0.0091 Test Accuracy = 71.3400 
epoch: 347 --> Train loss = 0.0146 Train Accuracy = 41.7460 
------> epoch: 347 --> Test loss = 0.0092 Test Accuracy = 70.3500 
epoch: 348 --> Train loss = 0.0148 Train Accuracy = 42.6820 
------> epoch: 348 --> Test loss = 0.0090 Test Accuracy = 71.1900 
epoch: 349 --> Train loss = 0.0149 Train Accuracy = 43.8440 
------> epoch: 349 --> Test loss = 0.0089 Test Accuracy = 71.6400 
epoch: 350 --> Train loss = 0.0144 Train Accuracy = 46.6880 
------> epoch: 350 --> Test loss = 0.0095 Test Accuracy = 70.1700 
epoch: 351 --> Train loss = 0.0143 Train Accuracy = 42.3220 
------> epoch: 351 --> Test loss = 0.0093 Test Accuracy = 70.5300 
epoch: 352 --> Train loss = 0.0145 Train Accuracy = 46.0100 
------> epoch: 352 --> Test loss = 0.0093 Test Accuracy = 70.1900 
epoch: 353 --> Train loss = 0.0143 Train Accuracy = 41.8500 
------> epoch: 353 --> Test loss = 0.0101 Test Accuracy = 67.9400 
epoch: 354 --> Train loss = 0.0151 Train Accuracy = 42.6660 
------> epoch: 354 --> Test loss = 0.0091 Test Accuracy = 70.7900 
epoch: 355 --> Train loss = 0.0149 Train Accuracy = 43.7740 
------> epoch: 355 --> Test loss = 0.0095 Test Accuracy = 70.0200 
epoch: 356 --> Train loss = 0.0144 Train Accuracy = 42.5700 
------> epoch: 356 --> Test loss = 0.0098 Test Accuracy = 69.5000 
epoch: 357 --> Train loss = 0.0146 Train Accuracy = 47.6740 
------> epoch: 357 --> Test loss = 0.0087 Test Accuracy = 72.0400 
epoch: 358 --> Train loss = 0.0145 Train Accuracy = 42.7840 
------> epoch: 358 --> Test loss = 0.0093 Test Accuracy = 70.5500 
epoch: 359 --> Train loss = 0.0148 Train Accuracy = 42.4680 
------> epoch: 359 --> Test loss = 0.0089 Test Accuracy = 71.9500 
epoch: 360 --> Train loss = 0.0151 Train Accuracy = 42.9020 
------> epoch: 360 --> Test loss = 0.0091 Test Accuracy = 70.9900 
epoch: 361 --> Train loss = 0.0141 Train Accuracy = 44.1100 
------> epoch: 361 --> Test loss = 0.0096 Test Accuracy = 70.2400 
epoch: 362 --> Train loss = 0.0144 Train Accuracy = 41.7420 
------> epoch: 362 --> Test loss = 0.0088 Test Accuracy = 71.8500 
epoch: 363 --> Train loss = 0.0145 Train Accuracy = 44.5800 
------> epoch: 363 --> Test loss = 0.0098 Test Accuracy = 69.0700 
epoch: 364 --> Train loss = 0.0145 Train Accuracy = 43.2620 
------> epoch: 364 --> Test loss = 0.0092 Test Accuracy = 70.4200 
epoch: 365 --> Train loss = 0.0145 Train Accuracy = 45.0880 
------> epoch: 365 --> Test loss = 0.0087 Test Accuracy = 72.2700 
epoch: 366 --> Train loss = 0.0149 Train Accuracy = 43.9000 
------> epoch: 366 --> Test loss = 0.0093 Test Accuracy = 70.7700 
epoch: 367 --> Train loss = 0.0146 Train Accuracy = 42.0060 
------> epoch: 367 --> Test loss = 0.0099 Test Accuracy = 69.2800 
epoch: 368 --> Train loss = 0.0146 Train Accuracy = 44.6100 
------> epoch: 368 --> Test loss = 0.0094 Test Accuracy = 70.4100 
epoch: 369 --> Train loss = 0.0143 Train Accuracy = 45.5420 
------> epoch: 369 --> Test loss = 0.0092 Test Accuracy = 71.0400 
epoch: 370 --> Train loss = 0.0146 Train Accuracy = 41.9080 
------> epoch: 370 --> Test loss = 0.0088 Test Accuracy = 72.2200 
epoch: 371 --> Train loss = 0.0146 Train Accuracy = 42.2800 
------> epoch: 371 --> Test loss = 0.0090 Test Accuracy = 72.1100 
epoch: 372 --> Train loss = 0.0141 Train Accuracy = 43.0620 
------> epoch: 372 --> Test loss = 0.0095 Test Accuracy = 70.7600 
epoch: 373 --> Train loss = 0.0146 Train Accuracy = 43.1240 
------> epoch: 373 --> Test loss = 0.0088 Test Accuracy = 72.0300 
epoch: 374 --> Train loss = 0.0147 Train Accuracy = 38.5560 
------> epoch: 374 --> Test loss = 0.0089 Test Accuracy = 71.3500 
epoch: 375 --> Train loss = 0.0144 Train Accuracy = 42.7940 
------> epoch: 375 --> Test loss = 0.0091 Test Accuracy = 71.3900 
epoch: 376 --> Train loss = 0.0148 Train Accuracy = 46.0200 
------> epoch: 376 --> Test loss = 0.0092 Test Accuracy = 71.0200 
epoch: 377 --> Train loss = 0.0142 Train Accuracy = 46.7400 
------> epoch: 377 --> Test loss = 0.0087 Test Accuracy = 72.5800 
Saving..
epoch: 378 --> Train loss = 0.0146 Train Accuracy = 43.1160 
------> epoch: 378 --> Test loss = 0.0096 Test Accuracy = 69.9300 
epoch: 379 --> Train loss = 0.0142 Train Accuracy = 42.7540 
------> epoch: 379 --> Test loss = 0.0097 Test Accuracy = 70.3000 
epoch: 380 --> Train loss = 0.0145 Train Accuracy = 44.7460 
------> epoch: 380 --> Test loss = 0.0090 Test Accuracy = 71.6300 
epoch: 381 --> Train loss = 0.0146 Train Accuracy = 44.2800 
------> epoch: 381 --> Test loss = 0.0095 Test Accuracy = 70.0300 
epoch: 382 --> Train loss = 0.0148 Train Accuracy = 43.7100 
------> epoch: 382 --> Test loss = 0.0086 Test Accuracy = 72.4700 
epoch: 383 --> Train loss = 0.0143 Train Accuracy = 44.3280 
------> epoch: 383 --> Test loss = 0.0098 Test Accuracy = 69.4900 
epoch: 384 --> Train loss = 0.0151 Train Accuracy = 41.0840 
------> epoch: 384 --> Test loss = 0.0098 Test Accuracy = 69.0600 
epoch: 385 --> Train loss = 0.0144 Train Accuracy = 41.6480 
------> epoch: 385 --> Test loss = 0.0085 Test Accuracy = 73.1200 
Saving..
epoch: 386 --> Train loss = 0.0144 Train Accuracy = 43.1200 
------> epoch: 386 --> Test loss = 0.0094 Test Accuracy = 70.6200 
epoch: 387 --> Train loss = 0.0145 Train Accuracy = 41.9460 
------> epoch: 387 --> Test loss = 0.0094 Test Accuracy = 70.1700 
epoch: 388 --> Train loss = 0.0144 Train Accuracy = 44.0000 
------> epoch: 388 --> Test loss = 0.0091 Test Accuracy = 71.2800 
epoch: 389 --> Train loss = 0.0147 Train Accuracy = 43.4620 
------> epoch: 389 --> Test loss = 0.0092 Test Accuracy = 70.6000 
epoch: 390 --> Train loss = 0.0146 Train Accuracy = 45.6680 
------> epoch: 390 --> Test loss = 0.0092 Test Accuracy = 70.7100 
epoch: 391 --> Train loss = 0.0144 Train Accuracy = 40.9980 
------> epoch: 391 --> Test loss = 0.0095 Test Accuracy = 69.9500 
epoch: 392 --> Train loss = 0.0148 Train Accuracy = 42.3380 
------> epoch: 392 --> Test loss = 0.0094 Test Accuracy = 70.1500 
epoch: 393 --> Train loss = 0.0149 Train Accuracy = 41.9120 
------> epoch: 393 --> Test loss = 0.0095 Test Accuracy = 70.2900 
epoch: 394 --> Train loss = 0.0146 Train Accuracy = 43.0160 
------> epoch: 394 --> Test loss = 0.0090 Test Accuracy = 70.8600 
epoch: 395 --> Train loss = 0.0146 Train Accuracy = 44.5140 
------> epoch: 395 --> Test loss = 0.0098 Test Accuracy = 69.8400 
epoch: 396 --> Train loss = 0.0142 Train Accuracy = 46.4620 
------> epoch: 396 --> Test loss = 0.0091 Test Accuracy = 70.7200 
epoch: 397 --> Train loss = 0.0144 Train Accuracy = 43.6440 
------> epoch: 397 --> Test loss = 0.0097 Test Accuracy = 69.8300 
epoch: 398 --> Train loss = 0.0145 Train Accuracy = 45.7280 
------> epoch: 398 --> Test loss = 0.0092 Test Accuracy = 70.5300 
epoch: 399 --> Train loss = 0.0146 Train Accuracy = 46.7620 
------> epoch: 399 --> Test loss = 0.0086 Test Accuracy = 72.5100 
epoch: 400 --> Train loss = 0.0144 Train Accuracy = 42.0460 
------> epoch: 400 --> Test loss = 0.0094 Test Accuracy = 70.4000 
epoch: 401 --> Train loss = 0.0146 Train Accuracy = 43.3480 
------> epoch: 401 --> Test loss = 0.0094 Test Accuracy = 69.9600 
epoch: 402 --> Train loss = 0.0146 Train Accuracy = 42.5500 
------> epoch: 402 --> Test loss = 0.0090 Test Accuracy = 71.7100 
epoch: 403 --> Train loss = 0.0148 Train Accuracy = 43.7140 
------> epoch: 403 --> Test loss = 0.0097 Test Accuracy = 70.0400 
epoch: 404 --> Train loss = 0.0143 Train Accuracy = 46.7520 
------> epoch: 404 --> Test loss = 0.0091 Test Accuracy = 71.2200 
epoch: 405 --> Train loss = 0.0142 Train Accuracy = 43.5120 
------> epoch: 405 --> Test loss = 0.0088 Test Accuracy = 72.0400 
epoch: 406 --> Train loss = 0.0149 Train Accuracy = 43.8660 
------> epoch: 406 --> Test loss = 0.0098 Test Accuracy = 69.2200 
epoch: 407 --> Train loss = 0.0137 Train Accuracy = 41.4520 
------> epoch: 407 --> Test loss = 0.0090 Test Accuracy = 71.2100 
epoch: 408 --> Train loss = 0.0144 Train Accuracy = 43.6160 
------> epoch: 408 --> Test loss = 0.0090 Test Accuracy = 71.3900 
epoch: 409 --> Train loss = 0.0150 Train Accuracy = 39.3960 
------> epoch: 409 --> Test loss = 0.0092 Test Accuracy = 71.4200 
epoch: 410 --> Train loss = 0.0149 Train Accuracy = 42.9580 
------> epoch: 410 --> Test loss = 0.0088 Test Accuracy = 72.2100 
epoch: 411 --> Train loss = 0.0146 Train Accuracy = 41.2700 
------> epoch: 411 --> Test loss = 0.0094 Test Accuracy = 70.4100 
epoch: 412 --> Train loss = 0.0141 Train Accuracy = 43.0900 
------> epoch: 412 --> Test loss = 0.0095 Test Accuracy = 71.3300 
epoch: 413 --> Train loss = 0.0144 Train Accuracy = 40.0380 
------> epoch: 413 --> Test loss = 0.0092 Test Accuracy = 70.5500 
epoch: 414 --> Train loss = 0.0146 Train Accuracy = 45.6140 
------> epoch: 414 --> Test loss = 0.0091 Test Accuracy = 71.3200 
epoch: 415 --> Train loss = 0.0146 Train Accuracy = 44.9920 
------> epoch: 415 --> Test loss = 0.0092 Test Accuracy = 70.5500 
epoch: 416 --> Train loss = 0.0141 Train Accuracy = 42.4940 
------> epoch: 416 --> Test loss = 0.0096 Test Accuracy = 69.7800 
epoch: 417 --> Train loss = 0.0143 Train Accuracy = 41.7780 
------> epoch: 417 --> Test loss = 0.0091 Test Accuracy = 70.7300 
epoch: 418 --> Train loss = 0.0144 Train Accuracy = 47.0300 
------> epoch: 418 --> Test loss = 0.0087 Test Accuracy = 71.9400 
epoch: 419 --> Train loss = 0.0146 Train Accuracy = 39.9840 
------> epoch: 419 --> Test loss = 0.0092 Test Accuracy = 70.5300 
epoch: 420 --> Train loss = 0.0148 Train Accuracy = 45.2980 
------> epoch: 420 --> Test loss = 0.0092 Test Accuracy = 70.9800 
epoch: 421 --> Train loss = 0.0143 Train Accuracy = 43.4900 
------> epoch: 421 --> Test loss = 0.0094 Test Accuracy = 70.3600 
epoch: 422 --> Train loss = 0.0140 Train Accuracy = 42.7560 
------> epoch: 422 --> Test loss = 0.0097 Test Accuracy = 69.8900 
epoch: 423 --> Train loss = 0.0145 Train Accuracy = 42.3840 
------> epoch: 423 --> Test loss = 0.0090 Test Accuracy = 71.0500 
epoch: 424 --> Train loss = 0.0144 Train Accuracy = 48.4380 
------> epoch: 424 --> Test loss = 0.0091 Test Accuracy = 71.1300 
epoch: 425 --> Train loss = 0.0147 Train Accuracy = 43.5040 
------> epoch: 425 --> Test loss = 0.0088 Test Accuracy = 72.1200 
epoch: 426 --> Train loss = 0.0142 Train Accuracy = 45.1100 
------> epoch: 426 --> Test loss = 0.0093 Test Accuracy = 70.5300 
epoch: 427 --> Train loss = 0.0148 Train Accuracy = 46.5120 
------> epoch: 427 --> Test loss = 0.0090 Test Accuracy = 71.6400 
epoch: 428 --> Train loss = 0.0147 Train Accuracy = 45.8720 
------> epoch: 428 --> Test loss = 0.0093 Test Accuracy = 70.1800 
epoch: 429 --> Train loss = 0.0140 Train Accuracy = 44.0460 
------> epoch: 429 --> Test loss = 0.0092 Test Accuracy = 71.1600 
epoch: 430 --> Train loss = 0.0141 Train Accuracy = 46.3380 
------> epoch: 430 --> Test loss = 0.0091 Test Accuracy = 70.9200 
epoch: 431 --> Train loss = 0.0151 Train Accuracy = 41.4980 
------> epoch: 431 --> Test loss = 0.0090 Test Accuracy = 71.0200 
epoch: 432 --> Train loss = 0.0143 Train Accuracy = 45.3780 
------> epoch: 432 --> Test loss = 0.0097 Test Accuracy = 69.6200 
epoch: 433 --> Train loss = 0.0145 Train Accuracy = 42.6660 
------> epoch: 433 --> Test loss = 0.0099 Test Accuracy = 69.0900 
epoch: 434 --> Train loss = 0.0146 Train Accuracy = 43.8060 
------> epoch: 434 --> Test loss = 0.0096 Test Accuracy = 70.2400 
epoch: 435 --> Train loss = 0.0145 Train Accuracy = 46.1860 
------> epoch: 435 --> Test loss = 0.0093 Test Accuracy = 70.8000 
epoch: 436 --> Train loss = 0.0145 Train Accuracy = 46.9860 
------> epoch: 436 --> Test loss = 0.0092 Test Accuracy = 70.6200 
epoch: 437 --> Train loss = 0.0145 Train Accuracy = 46.4700 
------> epoch: 437 --> Test loss = 0.0092 Test Accuracy = 70.3300 
epoch: 438 --> Train loss = 0.0147 Train Accuracy = 44.3980 
------> epoch: 438 --> Test loss = 0.0097 Test Accuracy = 69.4700 
epoch: 439 --> Train loss = 0.0146 Train Accuracy = 46.5740 
------> epoch: 439 --> Test loss = 0.0090 Test Accuracy = 71.5200 
epoch: 440 --> Train loss = 0.0147 Train Accuracy = 42.0000 
------> epoch: 440 --> Test loss = 0.0094 Test Accuracy = 70.6400 
epoch: 441 --> Train loss = 0.0141 Train Accuracy = 45.1840 
------> epoch: 441 --> Test loss = 0.0088 Test Accuracy = 71.9800 
epoch: 442 --> Train loss = 0.0143 Train Accuracy = 46.0640 
------> epoch: 442 --> Test loss = 0.0093 Test Accuracy = 70.8400 
epoch: 443 --> Train loss = 0.0145 Train Accuracy = 43.4760 
------> epoch: 443 --> Test loss = 0.0094 Test Accuracy = 70.7600 
epoch: 444 --> Train loss = 0.0143 Train Accuracy = 45.9480 
------> epoch: 444 --> Test loss = 0.0094 Test Accuracy = 70.1200 
epoch: 445 --> Train loss = 0.0145 Train Accuracy = 41.6540 
------> epoch: 445 --> Test loss = 0.0096 Test Accuracy = 69.7700 
epoch: 446 --> Train loss = 0.0142 Train Accuracy = 46.4420 
------> epoch: 446 --> Test loss = 0.0092 Test Accuracy = 70.6900 
epoch: 447 --> Train loss = 0.0146 Train Accuracy = 43.0540 
------> epoch: 447 --> Test loss = 0.0088 Test Accuracy = 71.7100 
epoch: 448 --> Train loss = 0.0151 Train Accuracy = 45.1540 
------> epoch: 448 --> Test loss = 0.0093 Test Accuracy = 70.2800 
epoch: 449 --> Train loss = 0.0143 Train Accuracy = 40.3520 
------> epoch: 449 --> Test loss = 0.0092 Test Accuracy = 70.8600 
epoch: 450 --> Train loss = 0.0148 Train Accuracy = 44.5960 
------> epoch: 450 --> Test loss = 0.0093 Test Accuracy = 70.9100 
epoch: 451 --> Train loss = 0.0147 Train Accuracy = 45.1240 
------> epoch: 451 --> Test loss = 0.0089 Test Accuracy = 71.5600 
epoch: 452 --> Train loss = 0.0147 Train Accuracy = 46.5720 
------> epoch: 452 --> Test loss = 0.0093 Test Accuracy = 71.7100 
epoch: 453 --> Train loss = 0.0141 Train Accuracy = 41.0660 
------> epoch: 453 --> Test loss = 0.0089 Test Accuracy = 72.0800 
epoch: 454 --> Train loss = 0.0141 Train Accuracy = 43.5880 
------> epoch: 454 --> Test loss = 0.0089 Test Accuracy = 71.8000 
epoch: 455 --> Train loss = 0.0141 Train Accuracy = 42.0300 
------> epoch: 455 --> Test loss = 0.0086 Test Accuracy = 72.5000 
epoch: 456 --> Train loss = 0.0149 Train Accuracy = 42.0600 
------> epoch: 456 --> Test loss = 0.0096 Test Accuracy = 69.4200 
epoch: 457 --> Train loss = 0.0140 Train Accuracy = 47.4940 
------> epoch: 457 --> Test loss = 0.0091 Test Accuracy = 71.0200 
epoch: 458 --> Train loss = 0.0149 Train Accuracy = 42.8480 
------> epoch: 458 --> Test loss = 0.0089 Test Accuracy = 71.6500 
epoch: 459 --> Train loss = 0.0147 Train Accuracy = 44.0960 
------> epoch: 459 --> Test loss = 0.0095 Test Accuracy = 69.9600 
epoch: 460 --> Train loss = 0.0145 Train Accuracy = 44.1620 
------> epoch: 460 --> Test loss = 0.0087 Test Accuracy = 71.8200 
epoch: 461 --> Train loss = 0.0144 Train Accuracy = 44.2500 
------> epoch: 461 --> Test loss = 0.0092 Test Accuracy = 70.7900 
epoch: 462 --> Train loss = 0.0148 Train Accuracy = 46.4820 
------> epoch: 462 --> Test loss = 0.0089 Test Accuracy = 71.8100 
epoch: 463 --> Train loss = 0.0144 Train Accuracy = 43.3620 
------> epoch: 463 --> Test loss = 0.0094 Test Accuracy = 69.8500 
epoch: 464 --> Train loss = 0.0149 Train Accuracy = 41.3460 
------> epoch: 464 --> Test loss = 0.0099 Test Accuracy = 69.9600 
epoch: 465 --> Train loss = 0.0148 Train Accuracy = 44.3780 
------> epoch: 465 --> Test loss = 0.0092 Test Accuracy = 70.9700 
epoch: 466 --> Train loss = 0.0144 Train Accuracy = 43.0500 
------> epoch: 466 --> Test loss = 0.0100 Test Accuracy = 69.7700 
epoch: 467 --> Train loss = 0.0147 Train Accuracy = 43.6460 
------> epoch: 467 --> Test loss = 0.0092 Test Accuracy = 70.4100 
epoch: 468 --> Train loss = 0.0148 Train Accuracy = 45.2300 
------> epoch: 468 --> Test loss = 0.0090 Test Accuracy = 71.6500 
epoch: 469 --> Train loss = 0.0145 Train Accuracy = 44.8820 
------> epoch: 469 --> Test loss = 0.0098 Test Accuracy = 69.6500 
epoch: 470 --> Train loss = 0.0143 Train Accuracy = 46.6280 
------> epoch: 470 --> Test loss = 0.0090 Test Accuracy = 71.7400 
epoch: 471 --> Train loss = 0.0147 Train Accuracy = 47.4260 
------> epoch: 471 --> Test loss = 0.0090 Test Accuracy = 72.0200 
epoch: 472 --> Train loss = 0.0147 Train Accuracy = 43.3840 
------> epoch: 472 --> Test loss = 0.0089 Test Accuracy = 72.3500 
epoch: 473 --> Train loss = 0.0143 Train Accuracy = 43.9600 
------> epoch: 473 --> Test loss = 0.0090 Test Accuracy = 71.8400 
epoch: 474 --> Train loss = 0.0143 Train Accuracy = 46.0460 
------> epoch: 474 --> Test loss = 0.0091 Test Accuracy = 71.8600 
epoch: 475 --> Train loss = 0.0144 Train Accuracy = 43.4460 
------> epoch: 475 --> Test loss = 0.0088 Test Accuracy = 71.7800 
epoch: 476 --> Train loss = 0.0143 Train Accuracy = 43.9780 
------> epoch: 476 --> Test loss = 0.0097 Test Accuracy = 70.1700 
epoch: 477 --> Train loss = 0.0143 Train Accuracy = 45.1460 
------> epoch: 477 --> Test loss = 0.0092 Test Accuracy = 70.7500 
epoch: 478 --> Train loss = 0.0142 Train Accuracy = 46.4660 
------> epoch: 478 --> Test loss = 0.0091 Test Accuracy = 71.6000 
epoch: 479 --> Train loss = 0.0145 Train Accuracy = 43.2060 
------> epoch: 479 --> Test loss = 0.0089 Test Accuracy = 72.2300 
epoch: 480 --> Train loss = 0.0141 Train Accuracy = 43.4060 
------> epoch: 480 --> Test loss = 0.0091 Test Accuracy = 71.3900 
epoch: 481 --> Train loss = 0.0144 Train Accuracy = 47.2880 
------> epoch: 481 --> Test loss = 0.0089 Test Accuracy = 72.0800 
epoch: 482 --> Train loss = 0.0141 Train Accuracy = 42.8240 
------> epoch: 482 --> Test loss = 0.0090 Test Accuracy = 71.3800 
epoch: 483 --> Train loss = 0.0144 Train Accuracy = 46.7500 
------> epoch: 483 --> Test loss = 0.0094 Test Accuracy = 70.5800 
epoch: 484 --> Train loss = 0.0145 Train Accuracy = 44.0600 
------> epoch: 484 --> Test loss = 0.0088 Test Accuracy = 72.6100 
epoch: 485 --> Train loss = 0.0145 Train Accuracy = 42.3260 
------> epoch: 485 --> Test loss = 0.0092 Test Accuracy = 70.2200 
epoch: 486 --> Train loss = 0.0145 Train Accuracy = 43.4080 
------> epoch: 486 --> Test loss = 0.0099 Test Accuracy = 68.9600 
epoch: 487 --> Train loss = 0.0148 Train Accuracy = 41.9980 
------> epoch: 487 --> Test loss = 0.0101 Test Accuracy = 68.3200 
epoch: 488 --> Train loss = 0.0147 Train Accuracy = 44.8260 
------> epoch: 488 --> Test loss = 0.0089 Test Accuracy = 71.5300 
epoch: 489 --> Train loss = 0.0149 Train Accuracy = 45.5040 
------> epoch: 489 --> Test loss = 0.0098 Test Accuracy = 69.2800 
epoch: 490 --> Train loss = 0.0143 Train Accuracy = 47.3900 
------> epoch: 490 --> Test loss = 0.0094 Test Accuracy = 70.0600 
epoch: 491 --> Train loss = 0.0145 Train Accuracy = 43.6840 
------> epoch: 491 --> Test loss = 0.0088 Test Accuracy = 72.4000 
epoch: 492 --> Train loss = 0.0146 Train Accuracy = 45.9300 
------> epoch: 492 --> Test loss = 0.0093 Test Accuracy = 70.6000 
epoch: 493 --> Train loss = 0.0147 Train Accuracy = 44.7740 
------> epoch: 493 --> Test loss = 0.0091 Test Accuracy = 71.5400 
epoch: 494 --> Train loss = 0.0142 Train Accuracy = 42.1660 
------> epoch: 494 --> Test loss = 0.0097 Test Accuracy = 69.3300 
epoch: 495 --> Train loss = 0.0144 Train Accuracy = 42.6900 
------> epoch: 495 --> Test loss = 0.0086 Test Accuracy = 72.6400 
epoch: 496 --> Train loss = 0.0147 Train Accuracy = 44.2220 
------> epoch: 496 --> Test loss = 0.0095 Test Accuracy = 70.3800 
epoch: 497 --> Train loss = 0.0145 Train Accuracy = 42.2360 
------> epoch: 497 --> Test loss = 0.0088 Test Accuracy = 71.7500 
epoch: 498 --> Train loss = 0.0147 Train Accuracy = 45.9900 
------> epoch: 498 --> Test loss = 0.0093 Test Accuracy = 70.7200 
epoch: 499 --> Train loss = 0.0150 Train Accuracy = 43.9340 
------> epoch: 499 --> Test loss = 0.0096 Test Accuracy = 70.0700 
epoch: 500 --> Train loss = 0.0133 Train Accuracy = 44.2380 
------> epoch: 500 --> Test loss = 0.0070 Test Accuracy = 76.9300 
Saving..
epoch: 501 --> Train loss = 0.0128 Train Accuracy = 49.3460 
------> epoch: 501 --> Test loss = 0.0069 Test Accuracy = 77.6600 
Saving..
epoch: 502 --> Train loss = 0.0125 Train Accuracy = 46.2020 
------> epoch: 502 --> Test loss = 0.0068 Test Accuracy = 78.2600 
Saving..
epoch: 503 --> Train loss = 0.0126 Train Accuracy = 50.5620 
------> epoch: 503 --> Test loss = 0.0067 Test Accuracy = 78.2600 
epoch: 504 --> Train loss = 0.0128 Train Accuracy = 51.0580 
------> epoch: 504 --> Test loss = 0.0069 Test Accuracy = 78.1800 
epoch: 505 --> Train loss = 0.0123 Train Accuracy = 46.9300 
------> epoch: 505 --> Test loss = 0.0066 Test Accuracy = 78.5900 
Saving..
epoch: 506 --> Train loss = 0.0124 Train Accuracy = 48.3760 
------> epoch: 506 --> Test loss = 0.0067 Test Accuracy = 78.5500 
epoch: 507 --> Train loss = 0.0121 Train Accuracy = 49.7180 
------> epoch: 507 --> Test loss = 0.0064 Test Accuracy = 79.3900 
Saving..
epoch: 508 --> Train loss = 0.0122 Train Accuracy = 47.8820 
------> epoch: 508 --> Test loss = 0.0064 Test Accuracy = 79.1800 
epoch: 509 --> Train loss = 0.0122 Train Accuracy = 51.0040 
------> epoch: 509 --> Test loss = 0.0066 Test Accuracy = 78.9300 
epoch: 510 --> Train loss = 0.0123 Train Accuracy = 47.8400 
------> epoch: 510 --> Test loss = 0.0064 Test Accuracy = 79.1100 
epoch: 511 --> Train loss = 0.0123 Train Accuracy = 51.3080 
------> epoch: 511 --> Test loss = 0.0066 Test Accuracy = 78.8500 
epoch: 512 --> Train loss = 0.0122 Train Accuracy = 44.9620 
------> epoch: 512 --> Test loss = 0.0065 Test Accuracy = 78.6900 
epoch: 513 --> Train loss = 0.0119 Train Accuracy = 47.7400 
------> epoch: 513 --> Test loss = 0.0064 Test Accuracy = 79.0900 
epoch: 514 --> Train loss = 0.0117 Train Accuracy = 49.4040 
------> epoch: 514 --> Test loss = 0.0065 Test Accuracy = 79.3400 
epoch: 515 --> Train loss = 0.0120 Train Accuracy = 51.6260 
------> epoch: 515 --> Test loss = 0.0070 Test Accuracy = 78.4400 
epoch: 516 --> Train loss = 0.0121 Train Accuracy = 48.9260 
------> epoch: 516 --> Test loss = 0.0065 Test Accuracy = 79.3100 
epoch: 517 --> Train loss = 0.0116 Train Accuracy = 50.0660 
------> epoch: 517 --> Test loss = 0.0064 Test Accuracy = 79.3300 
epoch: 518 --> Train loss = 0.0122 Train Accuracy = 51.1560 
------> epoch: 518 --> Test loss = 0.0064 Test Accuracy = 79.2800 
epoch: 519 --> Train loss = 0.0122 Train Accuracy = 46.4860 
------> epoch: 519 --> Test loss = 0.0065 Test Accuracy = 79.1100 
epoch: 520 --> Train loss = 0.0117 Train Accuracy = 49.7640 
------> epoch: 520 --> Test loss = 0.0065 Test Accuracy = 79.0900 
epoch: 521 --> Train loss = 0.0119 Train Accuracy = 48.3780 
------> epoch: 521 --> Test loss = 0.0065 Test Accuracy = 79.3600 
epoch: 522 --> Train loss = 0.0120 Train Accuracy = 48.5880 
------> epoch: 522 --> Test loss = 0.0063 Test Accuracy = 79.2600 
epoch: 523 --> Train loss = 0.0119 Train Accuracy = 47.5620 
------> epoch: 523 --> Test loss = 0.0064 Test Accuracy = 79.0700 
epoch: 524 --> Train loss = 0.0119 Train Accuracy = 47.6440 
------> epoch: 524 --> Test loss = 0.0066 Test Accuracy = 79.0400 
epoch: 525 --> Train loss = 0.0117 Train Accuracy = 49.2420 
------> epoch: 525 --> Test loss = 0.0064 Test Accuracy = 79.1600 
epoch: 526 --> Train loss = 0.0116 Train Accuracy = 48.3860 
------> epoch: 526 --> Test loss = 0.0064 Test Accuracy = 79.5300 
Saving..
epoch: 527 --> Train loss = 0.0121 Train Accuracy = 50.6620 
------> epoch: 527 --> Test loss = 0.0065 Test Accuracy = 79.1400 
epoch: 528 --> Train loss = 0.0118 Train Accuracy = 49.2100 
------> epoch: 528 --> Test loss = 0.0063 Test Accuracy = 79.6200 
Saving..
epoch: 529 --> Train loss = 0.0119 Train Accuracy = 50.2960 
------> epoch: 529 --> Test loss = 0.0063 Test Accuracy = 79.4500 
epoch: 530 --> Train loss = 0.0117 Train Accuracy = 46.7560 
------> epoch: 530 --> Test loss = 0.0064 Test Accuracy = 79.3100 
epoch: 531 --> Train loss = 0.0116 Train Accuracy = 46.4540 
------> epoch: 531 --> Test loss = 0.0064 Test Accuracy = 79.7600 
Saving..
epoch: 532 --> Train loss = 0.0119 Train Accuracy = 47.7840 
------> epoch: 532 --> Test loss = 0.0064 Test Accuracy = 79.3900 
epoch: 533 --> Train loss = 0.0116 Train Accuracy = 46.2660 
------> epoch: 533 --> Test loss = 0.0064 Test Accuracy = 79.2000 
epoch: 534 --> Train loss = 0.0119 Train Accuracy = 47.9680 
------> epoch: 534 --> Test loss = 0.0064 Test Accuracy = 79.2300 
epoch: 535 --> Train loss = 0.0122 Train Accuracy = 47.7260 
------> epoch: 535 --> Test loss = 0.0063 Test Accuracy = 79.4700 
epoch: 536 --> Train loss = 0.0119 Train Accuracy = 48.4200 
------> epoch: 536 --> Test loss = 0.0064 Test Accuracy = 79.0400 
epoch: 537 --> Train loss = 0.0119 Train Accuracy = 45.2780 
------> epoch: 537 --> Test loss = 0.0068 Test Accuracy = 78.5100 
epoch: 538 --> Train loss = 0.0116 Train Accuracy = 50.9120 
------> epoch: 538 --> Test loss = 0.0064 Test Accuracy = 79.4600 
epoch: 539 --> Train loss = 0.0116 Train Accuracy = 44.9200 
------> epoch: 539 --> Test loss = 0.0064 Test Accuracy = 79.6100 
epoch: 540 --> Train loss = 0.0119 Train Accuracy = 48.9380 
------> epoch: 540 --> Test loss = 0.0065 Test Accuracy = 78.9500 
epoch: 541 --> Train loss = 0.0120 Train Accuracy = 47.0300 
------> epoch: 541 --> Test loss = 0.0063 Test Accuracy = 79.7300 
epoch: 542 --> Train loss = 0.0120 Train Accuracy = 48.9500 
------> epoch: 542 --> Test loss = 0.0065 Test Accuracy = 79.2500 
epoch: 543 --> Train loss = 0.0116 Train Accuracy = 50.2900 
------> epoch: 543 --> Test loss = 0.0065 Test Accuracy = 79.3200 
epoch: 544 --> Train loss = 0.0118 Train Accuracy = 47.9020 
------> epoch: 544 --> Test loss = 0.0064 Test Accuracy = 79.5500 
epoch: 545 --> Train loss = 0.0119 Train Accuracy = 45.6480 
------> epoch: 545 --> Test loss = 0.0063 Test Accuracy = 79.6700 
epoch: 546 --> Train loss = 0.0115 Train Accuracy = 48.4260 
------> epoch: 546 --> Test loss = 0.0064 Test Accuracy = 79.8000 
Saving..
epoch: 547 --> Train loss = 0.0115 Train Accuracy = 50.4540 
------> epoch: 547 --> Test loss = 0.0065 Test Accuracy = 79.4500 
epoch: 548 --> Train loss = 0.0116 Train Accuracy = 51.4460 
------> epoch: 548 --> Test loss = 0.0067 Test Accuracy = 79.0400 
epoch: 549 --> Train loss = 0.0118 Train Accuracy = 48.5720 
------> epoch: 549 --> Test loss = 0.0064 Test Accuracy = 79.3300 
epoch: 550 --> Train loss = 0.0118 Train Accuracy = 50.0760 
------> epoch: 550 --> Test loss = 0.0065 Test Accuracy = 79.3200 
epoch: 551 --> Train loss = 0.0114 Train Accuracy = 50.9900 
------> epoch: 551 --> Test loss = 0.0065 Test Accuracy = 79.1000 
epoch: 552 --> Train loss = 0.0112 Train Accuracy = 51.2860 
------> epoch: 552 --> Test loss = 0.0062 Test Accuracy = 80.1700 
Saving..
epoch: 553 --> Train loss = 0.0115 Train Accuracy = 48.2700 
------> epoch: 553 --> Test loss = 0.0066 Test Accuracy = 79.1700 
epoch: 554 --> Train loss = 0.0116 Train Accuracy = 50.2980 
------> epoch: 554 --> Test loss = 0.0065 Test Accuracy = 79.0500 
epoch: 555 --> Train loss = 0.0115 Train Accuracy = 50.1820 
------> epoch: 555 --> Test loss = 0.0065 Test Accuracy = 79.2700 
epoch: 556 --> Train loss = 0.0114 Train Accuracy = 47.6280 
------> epoch: 556 --> Test loss = 0.0063 Test Accuracy = 79.8700 
epoch: 557 --> Train loss = 0.0118 Train Accuracy = 46.5080 
------> epoch: 557 --> Test loss = 0.0064 Test Accuracy = 79.4200 
epoch: 558 --> Train loss = 0.0115 Train Accuracy = 45.3760 
------> epoch: 558 --> Test loss = 0.0063 Test Accuracy = 79.4100 
epoch: 559 --> Train loss = 0.0117 Train Accuracy = 50.1460 
------> epoch: 559 --> Test loss = 0.0065 Test Accuracy = 79.4600 
epoch: 560 --> Train loss = 0.0117 Train Accuracy = 48.0080 
------> epoch: 560 --> Test loss = 0.0066 Test Accuracy = 79.2000 
epoch: 561 --> Train loss = 0.0112 Train Accuracy = 48.6080 
------> epoch: 561 --> Test loss = 0.0064 Test Accuracy = 79.4200 
epoch: 562 --> Train loss = 0.0116 Train Accuracy = 47.5160 
------> epoch: 562 --> Test loss = 0.0066 Test Accuracy = 79.2400 
epoch: 563 --> Train loss = 0.0117 Train Accuracy = 46.7540 
------> epoch: 563 --> Test loss = 0.0066 Test Accuracy = 79.0900 
epoch: 564 --> Train loss = 0.0114 Train Accuracy = 42.9100 
------> epoch: 564 --> Test loss = 0.0065 Test Accuracy = 79.4200 
epoch: 565 --> Train loss = 0.0118 Train Accuracy = 47.3000 
------> epoch: 565 --> Test loss = 0.0064 Test Accuracy = 79.3000 
epoch: 566 --> Train loss = 0.0115 Train Accuracy = 51.6800 
------> epoch: 566 --> Test loss = 0.0063 Test Accuracy = 79.4800 
epoch: 567 --> Train loss = 0.0115 Train Accuracy = 47.5380 
------> epoch: 567 --> Test loss = 0.0063 Test Accuracy = 79.8800 
epoch: 568 --> Train loss = 0.0113 Train Accuracy = 49.8560 
------> epoch: 568 --> Test loss = 0.0063 Test Accuracy = 79.4700 
epoch: 569 --> Train loss = 0.0112 Train Accuracy = 50.3000 
------> epoch: 569 --> Test loss = 0.0063 Test Accuracy = 79.7300 
epoch: 570 --> Train loss = 0.0114 Train Accuracy = 46.9280 
------> epoch: 570 --> Test loss = 0.0064 Test Accuracy = 79.9300 
epoch: 571 --> Train loss = 0.0117 Train Accuracy = 44.5060 
------> epoch: 571 --> Test loss = 0.0063 Test Accuracy = 79.2300 
epoch: 572 --> Train loss = 0.0118 Train Accuracy = 47.0000 
------> epoch: 572 --> Test loss = 0.0064 Test Accuracy = 79.2900 
epoch: 573 --> Train loss = 0.0114 Train Accuracy = 50.8980 
------> epoch: 573 --> Test loss = 0.0064 Test Accuracy = 79.1400 
epoch: 574 --> Train loss = 0.0117 Train Accuracy = 49.9460 
------> epoch: 574 --> Test loss = 0.0063 Test Accuracy = 79.8700 
epoch: 575 --> Train loss = 0.0113 Train Accuracy = 44.0740 
------> epoch: 575 --> Test loss = 0.0064 Test Accuracy = 79.8200 
epoch: 576 --> Train loss = 0.0113 Train Accuracy = 50.6200 
------> epoch: 576 --> Test loss = 0.0064 Test Accuracy = 79.8100 
epoch: 577 --> Train loss = 0.0117 Train Accuracy = 45.7280 
------> epoch: 577 --> Test loss = 0.0063 Test Accuracy = 80.0000 
epoch: 578 --> Train loss = 0.0115 Train Accuracy = 50.7420 
------> epoch: 578 --> Test loss = 0.0066 Test Accuracy = 78.9600 
epoch: 579 --> Train loss = 0.0114 Train Accuracy = 49.8540 
------> epoch: 579 --> Test loss = 0.0067 Test Accuracy = 78.8700 
epoch: 580 --> Train loss = 0.0117 Train Accuracy = 50.2520 
------> epoch: 580 --> Test loss = 0.0064 Test Accuracy = 79.2700 
epoch: 581 --> Train loss = 0.0113 Train Accuracy = 48.7700 
------> epoch: 581 --> Test loss = 0.0065 Test Accuracy = 79.1400 
epoch: 582 --> Train loss = 0.0117 Train Accuracy = 51.7740 
------> epoch: 582 --> Test loss = 0.0065 Test Accuracy = 78.9800 
epoch: 583 --> Train loss = 0.0110 Train Accuracy = 49.4400 
------> epoch: 583 --> Test loss = 0.0065 Test Accuracy = 79.5100 
epoch: 584 --> Train loss = 0.0113 Train Accuracy = 48.0000 
------> epoch: 584 --> Test loss = 0.0065 Test Accuracy = 79.3700 
epoch: 585 --> Train loss = 0.0117 Train Accuracy = 49.1200 
------> epoch: 585 --> Test loss = 0.0066 Test Accuracy = 79.2500 
epoch: 586 --> Train loss = 0.0117 Train Accuracy = 48.5460 
------> epoch: 586 --> Test loss = 0.0065 Test Accuracy = 79.1200 
epoch: 587 --> Train loss = 0.0115 Train Accuracy = 45.5240 
------> epoch: 587 --> Test loss = 0.0066 Test Accuracy = 79.0200 
epoch: 588 --> Train loss = 0.0114 Train Accuracy = 48.0440 
------> epoch: 588 --> Test loss = 0.0069 Test Accuracy = 78.0100 
epoch: 589 --> Train loss = 0.0111 Train Accuracy = 52.1480 
------> epoch: 589 --> Test loss = 0.0063 Test Accuracy = 79.5200 
epoch: 590 --> Train loss = 0.0113 Train Accuracy = 48.6520 
------> epoch: 590 --> Test loss = 0.0065 Test Accuracy = 79.3500 
epoch: 591 --> Train loss = 0.0114 Train Accuracy = 53.0300 
------> epoch: 591 --> Test loss = 0.0064 Test Accuracy = 79.2300 
epoch: 592 --> Train loss = 0.0116 Train Accuracy = 44.9740 
------> epoch: 592 --> Test loss = 0.0064 Test Accuracy = 79.5800 
epoch: 593 --> Train loss = 0.0118 Train Accuracy = 45.8480 
------> epoch: 593 --> Test loss = 0.0063 Test Accuracy = 79.8400 
epoch: 594 --> Train loss = 0.0118 Train Accuracy = 49.6080 
------> epoch: 594 --> Test loss = 0.0067 Test Accuracy = 79.0800 
epoch: 595 --> Train loss = 0.0114 Train Accuracy = 48.3860 
------> epoch: 595 --> Test loss = 0.0065 Test Accuracy = 79.4800 
epoch: 596 --> Train loss = 0.0115 Train Accuracy = 49.9160 
------> epoch: 596 --> Test loss = 0.0064 Test Accuracy = 79.4800 
epoch: 597 --> Train loss = 0.0118 Train Accuracy = 49.3320 
------> epoch: 597 --> Test loss = 0.0064 Test Accuracy = 79.5100 
epoch: 598 --> Train loss = 0.0113 Train Accuracy = 47.1800 
------> epoch: 598 --> Test loss = 0.0063 Test Accuracy = 79.3500 
epoch: 599 --> Train loss = 0.0113 Train Accuracy = 53.1740 
------> epoch: 599 --> Test loss = 0.0063 Test Accuracy = 79.3900 
epoch: 600 --> Train loss = 0.0113 Train Accuracy = 48.1980 
------> epoch: 600 --> Test loss = 0.0065 Test Accuracy = 79.4100 
epoch: 601 --> Train loss = 0.0116 Train Accuracy = 48.8340 
------> epoch: 601 --> Test loss = 0.0063 Test Accuracy = 79.7000 
epoch: 602 --> Train loss = 0.0115 Train Accuracy = 51.4560 
------> epoch: 602 --> Test loss = 0.0065 Test Accuracy = 79.0500 
epoch: 603 --> Train loss = 0.0116 Train Accuracy = 48.6700 
------> epoch: 603 --> Test loss = 0.0067 Test Accuracy = 78.7700 
epoch: 604 --> Train loss = 0.0117 Train Accuracy = 46.7880 
------> epoch: 604 --> Test loss = 0.0064 Test Accuracy = 79.8300 
epoch: 605 --> Train loss = 0.0114 Train Accuracy = 48.7540 
------> epoch: 605 --> Test loss = 0.0065 Test Accuracy = 79.0200 
epoch: 606 --> Train loss = 0.0112 Train Accuracy = 50.4260 
------> epoch: 606 --> Test loss = 0.0065 Test Accuracy = 79.4300 
epoch: 607 --> Train loss = 0.0116 Train Accuracy = 51.6680 
------> epoch: 607 --> Test loss = 0.0063 Test Accuracy = 79.7700 
epoch: 608 --> Train loss = 0.0114 Train Accuracy = 49.1680 
------> epoch: 608 --> Test loss = 0.0064 Test Accuracy = 79.4700 
epoch: 609 --> Train loss = 0.0114 Train Accuracy = 45.7440 
------> epoch: 609 --> Test loss = 0.0064 Test Accuracy = 79.8900 
epoch: 610 --> Train loss = 0.0114 Train Accuracy = 49.2780 
------> epoch: 610 --> Test loss = 0.0063 Test Accuracy = 79.5400 
epoch: 611 --> Train loss = 0.0112 Train Accuracy = 48.1100 
------> epoch: 611 --> Test loss = 0.0064 Test Accuracy = 79.8100 
epoch: 612 --> Train loss = 0.0114 Train Accuracy = 49.1980 
------> epoch: 612 --> Test loss = 0.0063 Test Accuracy = 79.5500 
epoch: 613 --> Train loss = 0.0115 Train Accuracy = 48.2080 
------> epoch: 613 --> Test loss = 0.0068 Test Accuracy = 79.0100 
epoch: 614 --> Train loss = 0.0113 Train Accuracy = 48.8300 
------> epoch: 614 --> Test loss = 0.0067 Test Accuracy = 78.8000 
epoch: 615 --> Train loss = 0.0114 Train Accuracy = 49.4440 
------> epoch: 615 --> Test loss = 0.0067 Test Accuracy = 78.7200 
epoch: 616 --> Train loss = 0.0112 Train Accuracy = 51.6480 
------> epoch: 616 --> Test loss = 0.0064 Test Accuracy = 78.9400 
epoch: 617 --> Train loss = 0.0112 Train Accuracy = 48.3780 
------> epoch: 617 --> Test loss = 0.0064 Test Accuracy = 79.4500 
epoch: 618 --> Train loss = 0.0113 Train Accuracy = 48.6420 
------> epoch: 618 --> Test loss = 0.0065 Test Accuracy = 79.0200 
epoch: 619 --> Train loss = 0.0113 Train Accuracy = 51.1440 
------> epoch: 619 --> Test loss = 0.0064 Test Accuracy = 79.1900 
epoch: 620 --> Train loss = 0.0112 Train Accuracy = 50.9000 
------> epoch: 620 --> Test loss = 0.0066 Test Accuracy = 79.1000 
epoch: 621 --> Train loss = 0.0115 Train Accuracy = 48.6780 
------> epoch: 621 --> Test loss = 0.0064 Test Accuracy = 79.5300 
epoch: 622 --> Train loss = 0.0115 Train Accuracy = 47.8860 
------> epoch: 622 --> Test loss = 0.0065 Test Accuracy = 78.9500 
epoch: 623 --> Train loss = 0.0111 Train Accuracy = 51.4780 
------> epoch: 623 --> Test loss = 0.0066 Test Accuracy = 78.9700 
epoch: 624 --> Train loss = 0.0116 Train Accuracy = 49.9300 
------> epoch: 624 --> Test loss = 0.0067 Test Accuracy = 78.9700 
epoch: 625 --> Train loss = 0.0110 Train Accuracy = 51.3360 
------> epoch: 625 --> Test loss = 0.0065 Test Accuracy = 79.3900 
epoch: 626 --> Train loss = 0.0115 Train Accuracy = 50.6020 
------> epoch: 626 --> Test loss = 0.0063 Test Accuracy = 79.5300 
epoch: 627 --> Train loss = 0.0113 Train Accuracy = 48.9380 
------> epoch: 627 --> Test loss = 0.0063 Test Accuracy = 79.5500 
epoch: 628 --> Train loss = 0.0112 Train Accuracy = 43.6460 
------> epoch: 628 --> Test loss = 0.0064 Test Accuracy = 79.1400 
epoch: 629 --> Train loss = 0.0115 Train Accuracy = 48.4760 
------> epoch: 629 --> Test loss = 0.0063 Test Accuracy = 79.6700 
epoch: 630 --> Train loss = 0.0114 Train Accuracy = 49.4720 
------> epoch: 630 --> Test loss = 0.0064 Test Accuracy = 79.4500 
epoch: 631 --> Train loss = 0.0112 Train Accuracy = 49.6000 
------> epoch: 631 --> Test loss = 0.0065 Test Accuracy = 79.3000 
epoch: 632 --> Train loss = 0.0114 Train Accuracy = 46.5320 
------> epoch: 632 --> Test loss = 0.0063 Test Accuracy = 79.8000 
epoch: 633 --> Train loss = 0.0113 Train Accuracy = 46.7700 
------> epoch: 633 --> Test loss = 0.0063 Test Accuracy = 79.7900 
epoch: 634 --> Train loss = 0.0117 Train Accuracy = 49.0400 
------> epoch: 634 --> Test loss = 0.0066 Test Accuracy = 79.1300 
epoch: 635 --> Train loss = 0.0113 Train Accuracy = 51.5440 
------> epoch: 635 --> Test loss = 0.0065 Test Accuracy = 79.2300 
epoch: 636 --> Train loss = 0.0116 Train Accuracy = 49.4360 
------> epoch: 636 --> Test loss = 0.0064 Test Accuracy = 79.7300 
epoch: 637 --> Train loss = 0.0115 Train Accuracy = 47.8320 
------> epoch: 637 --> Test loss = 0.0065 Test Accuracy = 79.3700 
epoch: 638 --> Train loss = 0.0111 Train Accuracy = 51.0440 
------> epoch: 638 --> Test loss = 0.0065 Test Accuracy = 79.0000 
epoch: 639 --> Train loss = 0.0116 Train Accuracy = 52.2780 
------> epoch: 639 --> Test loss = 0.0064 Test Accuracy = 79.1800 
epoch: 640 --> Train loss = 0.0113 Train Accuracy = 50.6880 
------> epoch: 640 --> Test loss = 0.0065 Test Accuracy = 78.9200 
epoch: 641 --> Train loss = 0.0116 Train Accuracy = 45.0980 
------> epoch: 641 --> Test loss = 0.0066 Test Accuracy = 78.6000 
epoch: 642 --> Train loss = 0.0119 Train Accuracy = 45.5860 
------> epoch: 642 --> Test loss = 0.0066 Test Accuracy = 78.9400 
epoch: 643 --> Train loss = 0.0115 Train Accuracy = 47.9380 
------> epoch: 643 --> Test loss = 0.0065 Test Accuracy = 79.2100 
epoch: 644 --> Train loss = 0.0115 Train Accuracy = 48.7400 
------> epoch: 644 --> Test loss = 0.0067 Test Accuracy = 78.1400 
epoch: 645 --> Train loss = 0.0115 Train Accuracy = 49.3240 
------> epoch: 645 --> Test loss = 0.0067 Test Accuracy = 78.1700 
epoch: 646 --> Train loss = 0.0114 Train Accuracy = 48.2960 
------> epoch: 646 --> Test loss = 0.0065 Test Accuracy = 79.2500 
epoch: 647 --> Train loss = 0.0115 Train Accuracy = 48.4480 
------> epoch: 647 --> Test loss = 0.0067 Test Accuracy = 78.2500 
epoch: 648 --> Train loss = 0.0117 Train Accuracy = 49.9960 
------> epoch: 648 --> Test loss = 0.0064 Test Accuracy = 78.9600 
epoch: 649 --> Train loss = 0.0114 Train Accuracy = 49.5560 
------> epoch: 649 --> Test loss = 0.0065 Test Accuracy = 78.9100 
epoch: 650 --> Train loss = 0.0115 Train Accuracy = 48.1120 
------> epoch: 650 --> Test loss = 0.0065 Test Accuracy = 79.0600 
epoch: 651 --> Train loss = 0.0115 Train Accuracy = 47.5100 
------> epoch: 651 --> Test loss = 0.0066 Test Accuracy = 78.6000 
epoch: 652 --> Train loss = 0.0111 Train Accuracy = 53.3740 
------> epoch: 652 --> Test loss = 0.0065 Test Accuracy = 79.0700 
epoch: 653 --> Train loss = 0.0115 Train Accuracy = 49.2840 
------> epoch: 653 --> Test loss = 0.0064 Test Accuracy = 79.4800 
epoch: 654 --> Train loss = 0.0111 Train Accuracy = 50.4440 
------> epoch: 654 --> Test loss = 0.0068 Test Accuracy = 78.5900 
epoch: 655 --> Train loss = 0.0115 Train Accuracy = 48.6740 
------> epoch: 655 --> Test loss = 0.0065 Test Accuracy = 79.0200 
epoch: 656 --> Train loss = 0.0116 Train Accuracy = 51.0160 
------> epoch: 656 --> Test loss = 0.0064 Test Accuracy = 79.3300 
epoch: 657 --> Train loss = 0.0112 Train Accuracy = 46.5540 
------> epoch: 657 --> Test loss = 0.0064 Test Accuracy = 79.4700 
epoch: 658 --> Train loss = 0.0114 Train Accuracy = 49.3700 
------> epoch: 658 --> Test loss = 0.0065 Test Accuracy = 79.2800 
epoch: 659 --> Train loss = 0.0115 Train Accuracy = 47.5720 
------> epoch: 659 --> Test loss = 0.0066 Test Accuracy = 78.3000 
epoch: 660 --> Train loss = 0.0116 Train Accuracy = 48.4600 
------> epoch: 660 --> Test loss = 0.0065 Test Accuracy = 78.7600 
epoch: 661 --> Train loss = 0.0114 Train Accuracy = 48.3060 
------> epoch: 661 --> Test loss = 0.0064 Test Accuracy = 79.1400 
epoch: 662 --> Train loss = 0.0116 Train Accuracy = 50.3520 
------> epoch: 662 --> Test loss = 0.0065 Test Accuracy = 79.3200 
epoch: 663 --> Train loss = 0.0115 Train Accuracy = 48.7620 
------> epoch: 663 --> Test loss = 0.0066 Test Accuracy = 78.9300 
epoch: 664 --> Train loss = 0.0117 Train Accuracy = 47.7680 
------> epoch: 664 --> Test loss = 0.0066 Test Accuracy = 78.5700 
epoch: 665 --> Train loss = 0.0116 Train Accuracy = 46.3260 
------> epoch: 665 --> Test loss = 0.0069 Test Accuracy = 77.9100 
epoch: 666 --> Train loss = 0.0114 Train Accuracy = 46.7900 
------> epoch: 666 --> Test loss = 0.0065 Test Accuracy = 78.9000 
epoch: 667 --> Train loss = 0.0115 Train Accuracy = 49.0360 
------> epoch: 667 --> Test loss = 0.0067 Test Accuracy = 78.7200 
epoch: 668 --> Train loss = 0.0116 Train Accuracy = 48.8540 
------> epoch: 668 --> Test loss = 0.0066 Test Accuracy = 78.8600 
epoch: 669 --> Train loss = 0.0112 Train Accuracy = 47.8320 
------> epoch: 669 --> Test loss = 0.0066 Test Accuracy = 79.0900 
epoch: 670 --> Train loss = 0.0115 Train Accuracy = 48.2200 
------> epoch: 670 --> Test loss = 0.0064 Test Accuracy = 79.1700 
epoch: 671 --> Train loss = 0.0118 Train Accuracy = 51.5900 
------> epoch: 671 --> Test loss = 0.0067 Test Accuracy = 78.4300 
epoch: 672 --> Train loss = 0.0115 Train Accuracy = 46.9340 
------> epoch: 672 --> Test loss = 0.0071 Test Accuracy = 77.5500 
epoch: 673 --> Train loss = 0.0113 Train Accuracy = 48.2700 
------> epoch: 673 --> Test loss = 0.0066 Test Accuracy = 78.9200 
epoch: 674 --> Train loss = 0.0113 Train Accuracy = 49.8440 
------> epoch: 674 --> Test loss = 0.0066 Test Accuracy = 78.9200 
epoch: 675 --> Train loss = 0.0113 Train Accuracy = 45.4040 
------> epoch: 675 --> Test loss = 0.0066 Test Accuracy = 78.4600 
epoch: 676 --> Train loss = 0.0113 Train Accuracy = 49.6780 
------> epoch: 676 --> Test loss = 0.0064 Test Accuracy = 79.2100 
epoch: 677 --> Train loss = 0.0113 Train Accuracy = 46.7000 
------> epoch: 677 --> Test loss = 0.0068 Test Accuracy = 78.2500 
epoch: 678 --> Train loss = 0.0111 Train Accuracy = 47.5040 
------> epoch: 678 --> Test loss = 0.0067 Test Accuracy = 78.7200 
epoch: 679 --> Train loss = 0.0113 Train Accuracy = 45.9080 
------> epoch: 679 --> Test loss = 0.0065 Test Accuracy = 78.8600 
epoch: 680 --> Train loss = 0.0112 Train Accuracy = 50.9640 
------> epoch: 680 --> Test loss = 0.0066 Test Accuracy = 79.4200 
epoch: 681 --> Train loss = 0.0116 Train Accuracy = 48.2980 
------> epoch: 681 --> Test loss = 0.0064 Test Accuracy = 79.2100 
epoch: 682 --> Train loss = 0.0114 Train Accuracy = 47.4100 
------> epoch: 682 --> Test loss = 0.0068 Test Accuracy = 78.4700 
epoch: 683 --> Train loss = 0.0114 Train Accuracy = 48.6540 
------> epoch: 683 --> Test loss = 0.0067 Test Accuracy = 78.3900 
epoch: 684 --> Train loss = 0.0114 Train Accuracy = 47.5800 
------> epoch: 684 --> Test loss = 0.0067 Test Accuracy = 78.7200 
epoch: 685 --> Train loss = 0.0112 Train Accuracy = 49.5900 
------> epoch: 685 --> Test loss = 0.0066 Test Accuracy = 78.6700 
epoch: 686 --> Train loss = 0.0115 Train Accuracy = 49.2200 
------> epoch: 686 --> Test loss = 0.0066 Test Accuracy = 78.7600 
epoch: 687 --> Train loss = 0.0117 Train Accuracy = 44.9960 
------> epoch: 687 --> Test loss = 0.0069 Test Accuracy = 78.1300 
epoch: 688 --> Train loss = 0.0110 Train Accuracy = 50.1880 
------> epoch: 688 --> Test loss = 0.0065 Test Accuracy = 79.0100 
epoch: 689 --> Train loss = 0.0113 Train Accuracy = 47.3680 
------> epoch: 689 --> Test loss = 0.0066 Test Accuracy = 78.8400 
epoch: 690 --> Train loss = 0.0115 Train Accuracy = 45.7840 
------> epoch: 690 --> Test loss = 0.0067 Test Accuracy = 78.5500 
epoch: 691 --> Train loss = 0.0115 Train Accuracy = 49.1000 
------> epoch: 691 --> Test loss = 0.0066 Test Accuracy = 78.7000 
epoch: 692 --> Train loss = 0.0112 Train Accuracy = 51.9680 
------> epoch: 692 --> Test loss = 0.0066 Test Accuracy = 78.5400 
epoch: 693 --> Train loss = 0.0115 Train Accuracy = 48.5980 
------> epoch: 693 --> Test loss = 0.0067 Test Accuracy = 78.7900 
epoch: 694 --> Train loss = 0.0112 Train Accuracy = 47.5760 
------> epoch: 694 --> Test loss = 0.0065 Test Accuracy = 78.4800 
epoch: 695 --> Train loss = 0.0114 Train Accuracy = 47.5020 
------> epoch: 695 --> Test loss = 0.0065 Test Accuracy = 78.4400 
epoch: 696 --> Train loss = 0.0115 Train Accuracy = 49.4640 
------> epoch: 696 --> Test loss = 0.0066 Test Accuracy = 78.7100 
epoch: 697 --> Train loss = 0.0115 Train Accuracy = 49.1140 
------> epoch: 697 --> Test loss = 0.0065 Test Accuracy = 78.7500 
epoch: 698 --> Train loss = 0.0117 Train Accuracy = 46.4860 
------> epoch: 698 --> Test loss = 0.0070 Test Accuracy = 77.8900 
epoch: 699 --> Train loss = 0.0117 Train Accuracy = 47.2840 
------> epoch: 699 --> Test loss = 0.0066 Test Accuracy = 78.6400 
epoch: 700 --> Train loss = 0.0111 Train Accuracy = 45.3120 
------> epoch: 700 --> Test loss = 0.0067 Test Accuracy = 78.2500 
epoch: 701 --> Train loss = 0.0116 Train Accuracy = 47.8160 
------> epoch: 701 --> Test loss = 0.0067 Test Accuracy = 78.5000 
epoch: 702 --> Train loss = 0.0111 Train Accuracy = 48.5960 
------> epoch: 702 --> Test loss = 0.0067 Test Accuracy = 78.3400 
epoch: 703 --> Train loss = 0.0115 Train Accuracy = 46.9220 
------> epoch: 703 --> Test loss = 0.0066 Test Accuracy = 78.6800 
epoch: 704 --> Train loss = 0.0115 Train Accuracy = 47.1560 
------> epoch: 704 --> Test loss = 0.0067 Test Accuracy = 78.4300 
epoch: 705 --> Train loss = 0.0116 Train Accuracy = 47.4820 
------> epoch: 705 --> Test loss = 0.0067 Test Accuracy = 78.4300 
epoch: 706 --> Train loss = 0.0114 Train Accuracy = 49.8560 
------> epoch: 706 --> Test loss = 0.0068 Test Accuracy = 78.1400 
epoch: 707 --> Train loss = 0.0112 Train Accuracy = 48.5460 
------> epoch: 707 --> Test loss = 0.0066 Test Accuracy = 78.5900 
epoch: 708 --> Train loss = 0.0112 Train Accuracy = 49.1140 
------> epoch: 708 --> Test loss = 0.0066 Test Accuracy = 79.0200 
epoch: 709 --> Train loss = 0.0111 Train Accuracy = 45.2520 
------> epoch: 709 --> Test loss = 0.0067 Test Accuracy = 78.5600 
epoch: 710 --> Train loss = 0.0112 Train Accuracy = 48.7740 
------> epoch: 710 --> Test loss = 0.0066 Test Accuracy = 78.7000 
epoch: 711 --> Train loss = 0.0113 Train Accuracy = 47.9200 
------> epoch: 711 --> Test loss = 0.0066 Test Accuracy = 78.8900 
epoch: 712 --> Train loss = 0.0115 Train Accuracy = 50.8480 
------> epoch: 712 --> Test loss = 0.0068 Test Accuracy = 77.9600 
epoch: 713 --> Train loss = 0.0113 Train Accuracy = 50.1260 
------> epoch: 713 --> Test loss = 0.0068 Test Accuracy = 78.1300 
epoch: 714 --> Train loss = 0.0117 Train Accuracy = 49.4160 
------> epoch: 714 --> Test loss = 0.0070 Test Accuracy = 77.5000 
epoch: 715 --> Train loss = 0.0116 Train Accuracy = 49.5400 
------> epoch: 715 --> Test loss = 0.0066 Test Accuracy = 78.7400 
epoch: 716 --> Train loss = 0.0116 Train Accuracy = 46.5140 
------> epoch: 716 --> Test loss = 0.0067 Test Accuracy = 78.1000 
epoch: 717 --> Train loss = 0.0115 Train Accuracy = 47.8460 
------> epoch: 717 --> Test loss = 0.0066 Test Accuracy = 78.8100 
epoch: 718 --> Train loss = 0.0114 Train Accuracy = 45.8860 
------> epoch: 718 --> Test loss = 0.0066 Test Accuracy = 78.6700 
epoch: 719 --> Train loss = 0.0115 Train Accuracy = 49.1500 
------> epoch: 719 --> Test loss = 0.0069 Test Accuracy = 78.0700 
epoch: 720 --> Train loss = 0.0115 Train Accuracy = 47.3380 
------> epoch: 720 --> Test loss = 0.0069 Test Accuracy = 77.9200 
epoch: 721 --> Train loss = 0.0113 Train Accuracy = 51.8620 
------> epoch: 721 --> Test loss = 0.0066 Test Accuracy = 78.8000 
epoch: 722 --> Train loss = 0.0114 Train Accuracy = 52.4820 
------> epoch: 722 --> Test loss = 0.0065 Test Accuracy = 78.7500 
epoch: 723 --> Train loss = 0.0113 Train Accuracy = 46.7660 
------> epoch: 723 --> Test loss = 0.0065 Test Accuracy = 78.5500 
epoch: 724 --> Train loss = 0.0113 Train Accuracy = 53.0820 
------> epoch: 724 --> Test loss = 0.0067 Test Accuracy = 78.2100 
epoch: 725 --> Train loss = 0.0110 Train Accuracy = 46.9540 
------> epoch: 725 --> Test loss = 0.0067 Test Accuracy = 77.9800 
epoch: 726 --> Train loss = 0.0114 Train Accuracy = 49.6400 
------> epoch: 726 --> Test loss = 0.0067 Test Accuracy = 78.7400 
epoch: 727 --> Train loss = 0.0111 Train Accuracy = 49.9400 
------> epoch: 727 --> Test loss = 0.0067 Test Accuracy = 78.4000 
epoch: 728 --> Train loss = 0.0116 Train Accuracy = 51.0400 
------> epoch: 728 --> Test loss = 0.0067 Test Accuracy = 78.4700 
epoch: 729 --> Train loss = 0.0111 Train Accuracy = 48.8420 
------> epoch: 729 --> Test loss = 0.0067 Test Accuracy = 79.1400 
epoch: 730 --> Train loss = 0.0115 Train Accuracy = 48.5060 
------> epoch: 730 --> Test loss = 0.0070 Test Accuracy = 77.9600 
epoch: 731 --> Train loss = 0.0112 Train Accuracy = 47.2520 
------> epoch: 731 --> Test loss = 0.0067 Test Accuracy = 78.4900 
epoch: 732 --> Train loss = 0.0117 Train Accuracy = 51.8300 
------> epoch: 732 --> Test loss = 0.0068 Test Accuracy = 78.0700 
epoch: 733 --> Train loss = 0.0115 Train Accuracy = 49.0240 
------> epoch: 733 --> Test loss = 0.0067 Test Accuracy = 78.5100 
epoch: 734 --> Train loss = 0.0115 Train Accuracy = 47.9880 
------> epoch: 734 --> Test loss = 0.0068 Test Accuracy = 78.2400 
epoch: 735 --> Train loss = 0.0112 Train Accuracy = 50.2860 
------> epoch: 735 --> Test loss = 0.0066 Test Accuracy = 78.5500 
epoch: 736 --> Train loss = 0.0115 Train Accuracy = 49.8580 
------> epoch: 736 --> Test loss = 0.0068 Test Accuracy = 78.3500 
epoch: 737 --> Train loss = 0.0116 Train Accuracy = 49.1400 
------> epoch: 737 --> Test loss = 0.0069 Test Accuracy = 78.2200 
epoch: 738 --> Train loss = 0.0113 Train Accuracy = 48.0460 
------> epoch: 738 --> Test loss = 0.0068 Test Accuracy = 78.4500 
epoch: 739 --> Train loss = 0.0113 Train Accuracy = 48.3320 
------> epoch: 739 --> Test loss = 0.0067 Test Accuracy = 78.0800 
epoch: 740 --> Train loss = 0.0112 Train Accuracy = 50.5140 
------> epoch: 740 --> Test loss = 0.0066 Test Accuracy = 79.1200 
epoch: 741 --> Train loss = 0.0114 Train Accuracy = 46.3960 
------> epoch: 741 --> Test loss = 0.0068 Test Accuracy = 78.1900 
epoch: 742 --> Train loss = 0.0114 Train Accuracy = 49.2840 
------> epoch: 742 --> Test loss = 0.0067 Test Accuracy = 78.2700 
epoch: 743 --> Train loss = 0.0115 Train Accuracy = 48.6860 
------> epoch: 743 --> Test loss = 0.0068 Test Accuracy = 78.1200 
epoch: 744 --> Train loss = 0.0115 Train Accuracy = 49.9760 
------> epoch: 744 --> Test loss = 0.0066 Test Accuracy = 78.8300 
epoch: 745 --> Train loss = 0.0115 Train Accuracy = 44.5320 
------> epoch: 745 --> Test loss = 0.0067 Test Accuracy = 78.2100 
epoch: 746 --> Train loss = 0.0113 Train Accuracy = 48.7760 
------> epoch: 746 --> Test loss = 0.0068 Test Accuracy = 78.0900 
epoch: 747 --> Train loss = 0.0113 Train Accuracy = 49.8860 
------> epoch: 747 --> Test loss = 0.0069 Test Accuracy = 78.2600 
epoch: 748 --> Train loss = 0.0112 Train Accuracy = 45.3580 
------> epoch: 748 --> Test loss = 0.0070 Test Accuracy = 77.4800 
epoch: 749 --> Train loss = 0.0114 Train Accuracy = 49.7960 
------> epoch: 749 --> Test loss = 0.0070 Test Accuracy = 78.0000 
epoch: 750 --> Train loss = 0.0114 Train Accuracy = 51.0940 
------> epoch: 750 --> Test loss = 0.0069 Test Accuracy = 78.2400 
epoch: 751 --> Train loss = 0.0115 Train Accuracy = 44.9540 
------> epoch: 751 --> Test loss = 0.0070 Test Accuracy = 77.5900 
epoch: 752 --> Train loss = 0.0114 Train Accuracy = 46.9780 
------> epoch: 752 --> Test loss = 0.0067 Test Accuracy = 78.4800 
epoch: 753 --> Train loss = 0.0115 Train Accuracy = 50.2840 
------> epoch: 753 --> Test loss = 0.0069 Test Accuracy = 78.0500 
epoch: 754 --> Train loss = 0.0113 Train Accuracy = 47.1720 
------> epoch: 754 --> Test loss = 0.0067 Test Accuracy = 78.8000 
epoch: 755 --> Train loss = 0.0114 Train Accuracy = 46.6200 
------> epoch: 755 --> Test loss = 0.0065 Test Accuracy = 79.3400 
epoch: 756 --> Train loss = 0.0116 Train Accuracy = 45.6420 
------> epoch: 756 --> Test loss = 0.0067 Test Accuracy = 78.3300 
epoch: 757 --> Train loss = 0.0114 Train Accuracy = 49.1100 
------> epoch: 757 --> Test loss = 0.0067 Test Accuracy = 77.9100 
epoch: 758 --> Train loss = 0.0117 Train Accuracy = 48.9440 
------> epoch: 758 --> Test loss = 0.0067 Test Accuracy = 78.5500 
epoch: 759 --> Train loss = 0.0115 Train Accuracy = 49.3720 
------> epoch: 759 --> Test loss = 0.0067 Test Accuracy = 78.6800 
epoch: 760 --> Train loss = 0.0114 Train Accuracy = 51.7720 
------> epoch: 760 --> Test loss = 0.0072 Test Accuracy = 77.1500 
epoch: 761 --> Train loss = 0.0113 Train Accuracy = 52.7060 
------> epoch: 761 --> Test loss = 0.0071 Test Accuracy = 77.9800 
epoch: 762 --> Train loss = 0.0115 Train Accuracy = 49.4820 
------> epoch: 762 --> Test loss = 0.0065 Test Accuracy = 78.8100 
epoch: 763 --> Train loss = 0.0112 Train Accuracy = 49.7680 
------> epoch: 763 --> Test loss = 0.0066 Test Accuracy = 79.1500 
epoch: 764 --> Train loss = 0.0117 Train Accuracy = 49.9860 
------> epoch: 764 --> Test loss = 0.0066 Test Accuracy = 78.5400 
epoch: 765 --> Train loss = 0.0115 Train Accuracy = 47.4000 
------> epoch: 765 --> Test loss = 0.0067 Test Accuracy = 78.6100 
epoch: 766 --> Train loss = 0.0115 Train Accuracy = 48.1300 
------> epoch: 766 --> Test loss = 0.0065 Test Accuracy = 78.6700 
epoch: 767 --> Train loss = 0.0115 Train Accuracy = 47.9580 
------> epoch: 767 --> Test loss = 0.0070 Test Accuracy = 77.9900 
epoch: 768 --> Train loss = 0.0113 Train Accuracy = 47.6120 
------> epoch: 768 --> Test loss = 0.0067 Test Accuracy = 78.3500 
epoch: 769 --> Train loss = 0.0114 Train Accuracy = 48.7820 
------> epoch: 769 --> Test loss = 0.0068 Test Accuracy = 77.7400 
epoch: 770 --> Train loss = 0.0112 Train Accuracy = 49.8160 
------> epoch: 770 --> Test loss = 0.0066 Test Accuracy = 79.1600 
epoch: 771 --> Train loss = 0.0112 Train Accuracy = 45.5440 
------> epoch: 771 --> Test loss = 0.0068 Test Accuracy = 78.5500 
epoch: 772 --> Train loss = 0.0112 Train Accuracy = 48.2980 
------> epoch: 772 --> Test loss = 0.0066 Test Accuracy = 78.3900 
epoch: 773 --> Train loss = 0.0115 Train Accuracy = 43.1300 
------> epoch: 773 --> Test loss = 0.0068 Test Accuracy = 78.1500 
epoch: 774 --> Train loss = 0.0115 Train Accuracy = 48.9280 
------> epoch: 774 --> Test loss = 0.0068 Test Accuracy = 78.1400 
epoch: 775 --> Train loss = 0.0114 Train Accuracy = 49.1260 
------> epoch: 775 --> Test loss = 0.0067 Test Accuracy = 78.2300 
epoch: 776 --> Train loss = 0.0111 Train Accuracy = 44.2300 
------> epoch: 776 --> Test loss = 0.0067 Test Accuracy = 78.3900 
epoch: 777 --> Train loss = 0.0115 Train Accuracy = 49.6640 
------> epoch: 777 --> Test loss = 0.0069 Test Accuracy = 77.5700 
epoch: 778 --> Train loss = 0.0115 Train Accuracy = 44.5700 
------> epoch: 778 --> Test loss = 0.0068 Test Accuracy = 77.9800 
epoch: 779 --> Train loss = 0.0113 Train Accuracy = 46.7240 
------> epoch: 779 --> Test loss = 0.0067 Test Accuracy = 78.3900 
epoch: 780 --> Train loss = 0.0117 Train Accuracy = 48.2720 
------> epoch: 780 --> Test loss = 0.0068 Test Accuracy = 78.2300 
epoch: 781 --> Train loss = 0.0117 Train Accuracy = 47.2440 
------> epoch: 781 --> Test loss = 0.0065 Test Accuracy = 78.7400 
epoch: 782 --> Train loss = 0.0116 Train Accuracy = 51.8620 
------> epoch: 782 --> Test loss = 0.0068 Test Accuracy = 77.9300 
epoch: 783 --> Train loss = 0.0115 Train Accuracy = 50.1720 
------> epoch: 783 --> Test loss = 0.0067 Test Accuracy = 78.3200 
epoch: 784 --> Train loss = 0.0118 Train Accuracy = 48.6760 
------> epoch: 784 --> Test loss = 0.0067 Test Accuracy = 78.5800 
epoch: 785 --> Train loss = 0.0112 Train Accuracy = 48.9940 
------> epoch: 785 --> Test loss = 0.0069 Test Accuracy = 77.9800 
epoch: 786 --> Train loss = 0.0113 Train Accuracy = 51.8240 
------> epoch: 786 --> Test loss = 0.0069 Test Accuracy = 77.9700 
epoch: 787 --> Train loss = 0.0115 Train Accuracy = 47.9100 
------> epoch: 787 --> Test loss = 0.0070 Test Accuracy = 77.7400 
epoch: 788 --> Train loss = 0.0114 Train Accuracy = 47.6520 
------> epoch: 788 --> Test loss = 0.0069 Test Accuracy = 78.0600 
epoch: 789 --> Train loss = 0.0111 Train Accuracy = 50.7660 
------> epoch: 789 --> Test loss = 0.0072 Test Accuracy = 77.3700 
epoch: 790 --> Train loss = 0.0116 Train Accuracy = 49.1800 
------> epoch: 790 --> Test loss = 0.0069 Test Accuracy = 77.7600 
epoch: 791 --> Train loss = 0.0114 Train Accuracy = 48.2540 
------> epoch: 791 --> Test loss = 0.0068 Test Accuracy = 78.2400 
epoch: 792 --> Train loss = 0.0111 Train Accuracy = 44.5320 
------> epoch: 792 --> Test loss = 0.0068 Test Accuracy = 78.2500 
epoch: 793 --> Train loss = 0.0113 Train Accuracy = 48.3540 
------> epoch: 793 --> Test loss = 0.0068 Test Accuracy = 78.0400 
epoch: 794 --> Train loss = 0.0116 Train Accuracy = 49.0640 
------> epoch: 794 --> Test loss = 0.0067 Test Accuracy = 78.7300 
epoch: 795 --> Train loss = 0.0112 Train Accuracy = 48.6640 
------> epoch: 795 --> Test loss = 0.0067 Test Accuracy = 78.7300 
epoch: 796 --> Train loss = 0.0111 Train Accuracy = 47.6580 
------> epoch: 796 --> Test loss = 0.0067 Test Accuracy = 78.5500 
epoch: 797 --> Train loss = 0.0114 Train Accuracy = 47.0200 
------> epoch: 797 --> Test loss = 0.0067 Test Accuracy = 78.4700 
epoch: 798 --> Train loss = 0.0111 Train Accuracy = 46.6520 
------> epoch: 798 --> Test loss = 0.0068 Test Accuracy = 79.1100 
epoch: 799 --> Train loss = 0.0115 Train Accuracy = 47.3520 
------> epoch: 799 --> Test loss = 0.0071 Test Accuracy = 77.0100 
epoch: 800 --> Train loss = 0.0114 Train Accuracy = 46.9540 
------> epoch: 800 --> Test loss = 0.0065 Test Accuracy = 78.9500 
epoch: 801 --> Train loss = 0.0115 Train Accuracy = 49.2580 
------> epoch: 801 --> Test loss = 0.0069 Test Accuracy = 78.0400 
epoch: 802 --> Train loss = 0.0116 Train Accuracy = 48.1480 
------> epoch: 802 --> Test loss = 0.0070 Test Accuracy = 77.6100 
epoch: 803 --> Train loss = 0.0112 Train Accuracy = 45.8620 
------> epoch: 803 --> Test loss = 0.0068 Test Accuracy = 78.1600 
epoch: 804 --> Train loss = 0.0111 Train Accuracy = 46.2480 
------> epoch: 804 --> Test loss = 0.0068 Test Accuracy = 78.1600 
epoch: 805 --> Train loss = 0.0114 Train Accuracy = 52.2440 
------> epoch: 805 --> Test loss = 0.0067 Test Accuracy = 78.4000 
epoch: 806 --> Train loss = 0.0116 Train Accuracy = 48.0980 
------> epoch: 806 --> Test loss = 0.0067 Test Accuracy = 78.7400 
epoch: 807 --> Train loss = 0.0113 Train Accuracy = 47.6980 
------> epoch: 807 --> Test loss = 0.0069 Test Accuracy = 78.5800 
epoch: 808 --> Train loss = 0.0111 Train Accuracy = 49.4540 
------> epoch: 808 --> Test loss = 0.0071 Test Accuracy = 77.4600 
epoch: 809 --> Train loss = 0.0114 Train Accuracy = 44.3360 
------> epoch: 809 --> Test loss = 0.0069 Test Accuracy = 78.2100 
epoch: 810 --> Train loss = 0.0111 Train Accuracy = 46.5740 
------> epoch: 810 --> Test loss = 0.0068 Test Accuracy = 78.5800 
epoch: 811 --> Train loss = 0.0109 Train Accuracy = 50.4140 
------> epoch: 811 --> Test loss = 0.0066 Test Accuracy = 79.0300 
epoch: 812 --> Train loss = 0.0114 Train Accuracy = 49.8440 
------> epoch: 812 --> Test loss = 0.0067 Test Accuracy = 78.7000 
epoch: 813 --> Train loss = 0.0114 Train Accuracy = 47.9940 
------> epoch: 813 --> Test loss = 0.0068 Test Accuracy = 77.9200 
epoch: 814 --> Train loss = 0.0114 Train Accuracy = 48.0800 
------> epoch: 814 --> Test loss = 0.0066 Test Accuracy = 78.3900 
epoch: 815 --> Train loss = 0.0115 Train Accuracy = 50.4100 
------> epoch: 815 --> Test loss = 0.0068 Test Accuracy = 78.1200 
epoch: 816 --> Train loss = 0.0114 Train Accuracy = 48.0760 
------> epoch: 816 --> Test loss = 0.0067 Test Accuracy = 79.1900 
epoch: 817 --> Train loss = 0.0114 Train Accuracy = 48.9480 
------> epoch: 817 --> Test loss = 0.0068 Test Accuracy = 78.2200 
epoch: 818 --> Train loss = 0.0112 Train Accuracy = 47.2860 
------> epoch: 818 --> Test loss = 0.0069 Test Accuracy = 77.9600 
epoch: 819 --> Train loss = 0.0113 Train Accuracy = 45.5840 
------> epoch: 819 --> Test loss = 0.0068 Test Accuracy = 78.0700 
epoch: 820 --> Train loss = 0.0113 Train Accuracy = 44.5580 
------> epoch: 820 --> Test loss = 0.0069 Test Accuracy = 77.2100 
epoch: 821 --> Train loss = 0.0115 Train Accuracy = 48.6720 
------> epoch: 821 --> Test loss = 0.0067 Test Accuracy = 78.3400 
epoch: 822 --> Train loss = 0.0113 Train Accuracy = 50.4580 
------> epoch: 822 --> Test loss = 0.0069 Test Accuracy = 77.7700 
epoch: 823 --> Train loss = 0.0112 Train Accuracy = 46.5340 
------> epoch: 823 --> Test loss = 0.0067 Test Accuracy = 78.8900 
epoch: 824 --> Train loss = 0.0111 Train Accuracy = 46.6740 
------> epoch: 824 --> Test loss = 0.0067 Test Accuracy = 78.7800 
epoch: 825 --> Train loss = 0.0114 Train Accuracy = 49.2000 
------> epoch: 825 --> Test loss = 0.0069 Test Accuracy = 78.0400 
epoch: 826 --> Train loss = 0.0111 Train Accuracy = 49.2960 
------> epoch: 826 --> Test loss = 0.0069 Test Accuracy = 78.4300 
epoch: 827 --> Train loss = 0.0111 Train Accuracy = 44.6940 
------> epoch: 827 --> Test loss = 0.0071 Test Accuracy = 77.5300 
epoch: 828 --> Train loss = 0.0118 Train Accuracy = 49.8980 
------> epoch: 828 --> Test loss = 0.0075 Test Accuracy = 76.9200 
epoch: 829 --> Train loss = 0.0113 Train Accuracy = 48.8000 
------> epoch: 829 --> Test loss = 0.0069 Test Accuracy = 78.0700 
epoch: 830 --> Train loss = 0.0114 Train Accuracy = 50.5760 
------> epoch: 830 --> Test loss = 0.0069 Test Accuracy = 77.8700 
epoch: 831 --> Train loss = 0.0112 Train Accuracy = 49.7440 
------> epoch: 831 --> Test loss = 0.0067 Test Accuracy = 78.7200 
epoch: 832 --> Train loss = 0.0112 Train Accuracy = 49.6640 
------> epoch: 832 --> Test loss = 0.0067 Test Accuracy = 78.9000 
epoch: 833 --> Train loss = 0.0111 Train Accuracy = 46.2540 
------> epoch: 833 --> Test loss = 0.0069 Test Accuracy = 78.4600 
epoch: 834 --> Train loss = 0.0113 Train Accuracy = 44.0860 
------> epoch: 834 --> Test loss = 0.0067 Test Accuracy = 78.5700 
epoch: 835 --> Train loss = 0.0115 Train Accuracy = 48.3580 
------> epoch: 835 --> Test loss = 0.0066 Test Accuracy = 79.0800 
epoch: 836 --> Train loss = 0.0116 Train Accuracy = 45.8860 
------> epoch: 836 --> Test loss = 0.0070 Test Accuracy = 77.6200 
epoch: 837 --> Train loss = 0.0112 Train Accuracy = 48.4060 
------> epoch: 837 --> Test loss = 0.0068 Test Accuracy = 78.7300 
epoch: 838 --> Train loss = 0.0114 Train Accuracy = 47.2040 
------> epoch: 838 --> Test loss = 0.0066 Test Accuracy = 79.1400 
epoch: 839 --> Train loss = 0.0116 Train Accuracy = 47.5180 
------> epoch: 839 --> Test loss = 0.0069 Test Accuracy = 78.2300 
epoch: 840 --> Train loss = 0.0111 Train Accuracy = 45.8260 
------> epoch: 840 --> Test loss = 0.0066 Test Accuracy = 78.9800 
epoch: 841 --> Train loss = 0.0114 Train Accuracy = 46.7120 
------> epoch: 841 --> Test loss = 0.0070 Test Accuracy = 78.4900 
epoch: 842 --> Train loss = 0.0116 Train Accuracy = 45.9480 
------> epoch: 842 --> Test loss = 0.0070 Test Accuracy = 77.5700 
epoch: 843 --> Train loss = 0.0111 Train Accuracy = 49.1280 
------> epoch: 843 --> Test loss = 0.0067 Test Accuracy = 79.0500 
epoch: 844 --> Train loss = 0.0115 Train Accuracy = 51.2720 
------> epoch: 844 --> Test loss = 0.0069 Test Accuracy = 78.6300 
epoch: 845 --> Train loss = 0.0114 Train Accuracy = 48.4060 
------> epoch: 845 --> Test loss = 0.0068 Test Accuracy = 78.6000 
epoch: 846 --> Train loss = 0.0112 Train Accuracy = 47.2440 
------> epoch: 846 --> Test loss = 0.0068 Test Accuracy = 78.5200 
epoch: 847 --> Train loss = 0.0111 Train Accuracy = 48.0660 
------> epoch: 847 --> Test loss = 0.0069 Test Accuracy = 78.1300 
epoch: 848 --> Train loss = 0.0112 Train Accuracy = 50.8840 
------> epoch: 848 --> Test loss = 0.0067 Test Accuracy = 78.5900 
epoch: 849 --> Train loss = 0.0115 Train Accuracy = 47.3680 
------> epoch: 849 --> Test loss = 0.0070 Test Accuracy = 77.9700 
epoch: 850 --> Train loss = 0.0114 Train Accuracy = 50.8180 
------> epoch: 850 --> Test loss = 0.0071 Test Accuracy = 77.6000 
epoch: 851 --> Train loss = 0.0111 Train Accuracy = 48.8520 
------> epoch: 851 --> Test loss = 0.0069 Test Accuracy = 78.1900 
epoch: 852 --> Train loss = 0.0113 Train Accuracy = 50.6740 
------> epoch: 852 --> Test loss = 0.0070 Test Accuracy = 77.8300 
epoch: 853 --> Train loss = 0.0111 Train Accuracy = 49.6780 
------> epoch: 853 --> Test loss = 0.0071 Test Accuracy = 77.9400 
epoch: 854 --> Train loss = 0.0112 Train Accuracy = 50.5500 
------> epoch: 854 --> Test loss = 0.0068 Test Accuracy = 78.1200 
epoch: 855 --> Train loss = 0.0115 Train Accuracy = 47.9960 
------> epoch: 855 --> Test loss = 0.0069 Test Accuracy = 78.3700 
epoch: 856 --> Train loss = 0.0114 Train Accuracy = 46.2040 
------> epoch: 856 --> Test loss = 0.0068 Test Accuracy = 79.5400 
epoch: 857 --> Train loss = 0.0112 Train Accuracy = 50.3640 
------> epoch: 857 --> Test loss = 0.0069 Test Accuracy = 78.2100 
epoch: 858 --> Train loss = 0.0116 Train Accuracy = 45.1980 
------> epoch: 858 --> Test loss = 0.0071 Test Accuracy = 77.8000 
epoch: 859 --> Train loss = 0.0113 Train Accuracy = 46.7320 
------> epoch: 859 --> Test loss = 0.0067 Test Accuracy = 79.3500 
epoch: 860 --> Train loss = 0.0118 Train Accuracy = 47.4260 
------> epoch: 860 --> Test loss = 0.0071 Test Accuracy = 77.6000 
epoch: 861 --> Train loss = 0.0111 Train Accuracy = 52.8200 
------> epoch: 861 --> Test loss = 0.0068 Test Accuracy = 78.6000 
epoch: 862 --> Train loss = 0.0113 Train Accuracy = 42.2180 
------> epoch: 862 --> Test loss = 0.0071 Test Accuracy = 77.8200 
epoch: 863 --> Train loss = 0.0112 Train Accuracy = 48.4540 
------> epoch: 863 --> Test loss = 0.0069 Test Accuracy = 78.2800 
epoch: 864 --> Train loss = 0.0112 Train Accuracy = 45.5780 
------> epoch: 864 --> Test loss = 0.0068 Test Accuracy = 78.4900 
epoch: 865 --> Train loss = 0.0112 Train Accuracy = 45.1560 
------> epoch: 865 --> Test loss = 0.0069 Test Accuracy = 78.1400 
epoch: 866 --> Train loss = 0.0114 Train Accuracy = 44.7720 
------> epoch: 866 --> Test loss = 0.0070 Test Accuracy = 77.9600 
epoch: 867 --> Train loss = 0.0114 Train Accuracy = 47.5560 
------> epoch: 867 --> Test loss = 0.0068 Test Accuracy = 78.2800 
epoch: 868 --> Train loss = 0.0114 Train Accuracy = 52.0380 
------> epoch: 868 --> Test loss = 0.0069 Test Accuracy = 77.7900 
epoch: 869 --> Train loss = 0.0114 Train Accuracy = 48.8480 
------> epoch: 869 --> Test loss = 0.0068 Test Accuracy = 78.0000 
epoch: 870 --> Train loss = 0.0112 Train Accuracy = 47.8000 
------> epoch: 870 --> Test loss = 0.0068 Test Accuracy = 78.5300 
epoch: 871 --> Train loss = 0.0113 Train Accuracy = 46.7180 
------> epoch: 871 --> Test loss = 0.0069 Test Accuracy = 78.1900 
epoch: 872 --> Train loss = 0.0112 Train Accuracy = 48.5640 
------> epoch: 872 --> Test loss = 0.0068 Test Accuracy = 78.4200 
epoch: 873 --> Train loss = 0.0115 Train Accuracy = 47.2600 
------> epoch: 873 --> Test loss = 0.0067 Test Accuracy = 78.7600 
epoch: 874 --> Train loss = 0.0114 Train Accuracy = 47.9020 
------> epoch: 874 --> Test loss = 0.0067 Test Accuracy = 78.8100 
epoch: 875 --> Train loss = 0.0113 Train Accuracy = 49.8060 
------> epoch: 875 --> Test loss = 0.0069 Test Accuracy = 78.2200 
epoch: 876 --> Train loss = 0.0116 Train Accuracy = 50.5880 
------> epoch: 876 --> Test loss = 0.0068 Test Accuracy = 78.3400 
epoch: 877 --> Train loss = 0.0111 Train Accuracy = 52.3640 
------> epoch: 877 --> Test loss = 0.0070 Test Accuracy = 77.8600 
epoch: 878 --> Train loss = 0.0111 Train Accuracy = 49.4820 
------> epoch: 878 --> Test loss = 0.0066 Test Accuracy = 79.1000 
epoch: 879 --> Train loss = 0.0114 Train Accuracy = 48.1700 
------> epoch: 879 --> Test loss = 0.0070 Test Accuracy = 78.7800 
epoch: 880 --> Train loss = 0.0111 Train Accuracy = 48.9620 
------> epoch: 880 --> Test loss = 0.0067 Test Accuracy = 78.5900 
epoch: 881 --> Train loss = 0.0115 Train Accuracy = 49.7120 
------> epoch: 881 --> Test loss = 0.0071 Test Accuracy = 77.8000 
epoch: 882 --> Train loss = 0.0112 Train Accuracy = 48.7500 
------> epoch: 882 --> Test loss = 0.0068 Test Accuracy = 78.6500 
epoch: 883 --> Train loss = 0.0111 Train Accuracy = 51.1620 
------> epoch: 883 --> Test loss = 0.0067 Test Accuracy = 78.6500 
epoch: 884 --> Train loss = 0.0114 Train Accuracy = 48.3800 
------> epoch: 884 --> Test loss = 0.0072 Test Accuracy = 77.3700 
epoch: 885 --> Train loss = 0.0112 Train Accuracy = 50.9000 
------> epoch: 885 --> Test loss = 0.0068 Test Accuracy = 78.3200 
epoch: 886 --> Train loss = 0.0113 Train Accuracy = 49.9260 
------> epoch: 886 --> Test loss = 0.0067 Test Accuracy = 78.3400 
epoch: 887 --> Train loss = 0.0112 Train Accuracy = 48.4680 
------> epoch: 887 --> Test loss = 0.0069 Test Accuracy = 78.1900 
epoch: 888 --> Train loss = 0.0116 Train Accuracy = 51.2900 
------> epoch: 888 --> Test loss = 0.0069 Test Accuracy = 78.2700 
epoch: 889 --> Train loss = 0.0112 Train Accuracy = 49.2340 
------> epoch: 889 --> Test loss = 0.0068 Test Accuracy = 78.4900 
epoch: 890 --> Train loss = 0.0116 Train Accuracy = 47.1960 
------> epoch: 890 --> Test loss = 0.0069 Test Accuracy = 78.1900 
epoch: 891 --> Train loss = 0.0114 Train Accuracy = 47.3720 
------> epoch: 891 --> Test loss = 0.0067 Test Accuracy = 78.8000 
epoch: 892 --> Train loss = 0.0113 Train Accuracy = 51.4400 
------> epoch: 892 --> Test loss = 0.0070 Test Accuracy = 77.7400 
epoch: 893 --> Train loss = 0.0113 Train Accuracy = 48.1120 
------> epoch: 893 --> Test loss = 0.0069 Test Accuracy = 78.1900 
epoch: 894 --> Train loss = 0.0116 Train Accuracy = 49.8320 
------> epoch: 894 --> Test loss = 0.0069 Test Accuracy = 78.0100 
epoch: 895 --> Train loss = 0.0114 Train Accuracy = 50.9120 
------> epoch: 895 --> Test loss = 0.0068 Test Accuracy = 77.9100 
epoch: 896 --> Train loss = 0.0109 Train Accuracy = 49.2520 
------> epoch: 896 --> Test loss = 0.0069 Test Accuracy = 77.7800 
epoch: 897 --> Train loss = 0.0115 Train Accuracy = 44.1580 
------> epoch: 897 --> Test loss = 0.0068 Test Accuracy = 78.4100 
epoch: 898 --> Train loss = 0.0115 Train Accuracy = 51.2980 
------> epoch: 898 --> Test loss = 0.0069 Test Accuracy = 78.1400 
epoch: 899 --> Train loss = 0.0113 Train Accuracy = 48.9240 
------> epoch: 899 --> Test loss = 0.0070 Test Accuracy = 78.4700 
epoch: 900 --> Train loss = 0.0113 Train Accuracy = 49.1160 
------> epoch: 900 --> Test loss = 0.0068 Test Accuracy = 78.2500 
epoch: 901 --> Train loss = 0.0114 Train Accuracy = 50.8360 
------> epoch: 901 --> Test loss = 0.0067 Test Accuracy = 78.5300 
epoch: 902 --> Train loss = 0.0111 Train Accuracy = 47.6040 
------> epoch: 902 --> Test loss = 0.0068 Test Accuracy = 78.6800 
epoch: 903 --> Train loss = 0.0113 Train Accuracy = 50.6600 
------> epoch: 903 --> Test loss = 0.0070 Test Accuracy = 77.4000 
epoch: 904 --> Train loss = 0.0111 Train Accuracy = 48.5220 
------> epoch: 904 --> Test loss = 0.0072 Test Accuracy = 77.3000 
epoch: 905 --> Train loss = 0.0112 Train Accuracy = 51.8960 
------> epoch: 905 --> Test loss = 0.0067 Test Accuracy = 78.6900 
epoch: 906 --> Train loss = 0.0110 Train Accuracy = 46.4460 
------> epoch: 906 --> Test loss = 0.0070 Test Accuracy = 77.8800 
epoch: 907 --> Train loss = 0.0113 Train Accuracy = 45.1980 
------> epoch: 907 --> Test loss = 0.0068 Test Accuracy = 78.9800 
epoch: 908 --> Train loss = 0.0116 Train Accuracy = 47.7320 
------> epoch: 908 --> Test loss = 0.0068 Test Accuracy = 78.3500 
epoch: 909 --> Train loss = 0.0111 Train Accuracy = 48.3120 
------> epoch: 909 --> Test loss = 0.0069 Test Accuracy = 77.8900 
epoch: 910 --> Train loss = 0.0113 Train Accuracy = 50.9820 
------> epoch: 910 --> Test loss = 0.0069 Test Accuracy = 78.3600 
epoch: 911 --> Train loss = 0.0114 Train Accuracy = 47.7260 
------> epoch: 911 --> Test loss = 0.0070 Test Accuracy = 78.1800 
epoch: 912 --> Train loss = 0.0110 Train Accuracy = 52.5140 
------> epoch: 912 --> Test loss = 0.0070 Test Accuracy = 77.9000 
epoch: 913 --> Train loss = 0.0113 Train Accuracy = 50.2520 
------> epoch: 913 --> Test loss = 0.0069 Test Accuracy = 79.3900 
epoch: 914 --> Train loss = 0.0113 Train Accuracy = 49.9440 
------> epoch: 914 --> Test loss = 0.0071 Test Accuracy = 77.9500 
epoch: 915 --> Train loss = 0.0111 Train Accuracy = 50.0480 
------> epoch: 915 --> Test loss = 0.0069 Test Accuracy = 78.6300 
epoch: 916 --> Train loss = 0.0111 Train Accuracy = 45.7600 
------> epoch: 916 --> Test loss = 0.0069 Test Accuracy = 78.5500 
epoch: 917 --> Train loss = 0.0110 Train Accuracy = 50.5700 
------> epoch: 917 --> Test loss = 0.0072 Test Accuracy = 77.4200 
epoch: 918 --> Train loss = 0.0108 Train Accuracy = 51.2580 
------> epoch: 918 --> Test loss = 0.0070 Test Accuracy = 77.4200 
epoch: 919 --> Train loss = 0.0112 Train Accuracy = 51.0240 
------> epoch: 919 --> Test loss = 0.0071 Test Accuracy = 77.7900 
epoch: 920 --> Train loss = 0.0114 Train Accuracy = 48.2020 
------> epoch: 920 --> Test loss = 0.0072 Test Accuracy = 77.6900 
epoch: 921 --> Train loss = 0.0111 Train Accuracy = 48.9600 
------> epoch: 921 --> Test loss = 0.0070 Test Accuracy = 77.7300 
epoch: 922 --> Train loss = 0.0114 Train Accuracy = 44.6600 
------> epoch: 922 --> Test loss = 0.0073 Test Accuracy = 77.1400 
epoch: 923 --> Train loss = 0.0111 Train Accuracy = 49.7280 
------> epoch: 923 --> Test loss = 0.0069 Test Accuracy = 78.2500 
epoch: 924 --> Train loss = 0.0110 Train Accuracy = 46.9520 
------> epoch: 924 --> Test loss = 0.0069 Test Accuracy = 78.1300 
epoch: 925 --> Train loss = 0.0111 Train Accuracy = 51.5060 
------> epoch: 925 --> Test loss = 0.0068 Test Accuracy = 78.3900 
epoch: 926 --> Train loss = 0.0112 Train Accuracy = 51.5260 
------> epoch: 926 --> Test loss = 0.0070 Test Accuracy = 77.4400 
epoch: 927 --> Train loss = 0.0113 Train Accuracy = 47.1220 
------> epoch: 927 --> Test loss = 0.0069 Test Accuracy = 78.1400 
epoch: 928 --> Train loss = 0.0112 Train Accuracy = 46.0780 
------> epoch: 928 --> Test loss = 0.0070 Test Accuracy = 78.1500 
epoch: 929 --> Train loss = 0.0113 Train Accuracy = 47.3580 
------> epoch: 929 --> Test loss = 0.0070 Test Accuracy = 77.6600 
epoch: 930 --> Train loss = 0.0108 Train Accuracy = 49.9140 
------> epoch: 930 --> Test loss = 0.0071 Test Accuracy = 77.8000 
epoch: 931 --> Train loss = 0.0113 Train Accuracy = 51.4260 
------> epoch: 931 --> Test loss = 0.0069 Test Accuracy = 78.7700 
epoch: 932 --> Train loss = 0.0113 Train Accuracy = 51.4460 
------> epoch: 932 --> Test loss = 0.0068 Test Accuracy = 78.4400 
epoch: 933 --> Train loss = 0.0110 Train Accuracy = 48.5760 
------> epoch: 933 --> Test loss = 0.0071 Test Accuracy = 77.9800 
epoch: 934 --> Train loss = 0.0115 Train Accuracy = 45.9660 
------> epoch: 934 --> Test loss = 0.0070 Test Accuracy = 77.7100 
epoch: 935 --> Train loss = 0.0111 Train Accuracy = 47.5000 
------> epoch: 935 --> Test loss = 0.0067 Test Accuracy = 78.7100 
epoch: 936 --> Train loss = 0.0113 Train Accuracy = 50.1120 
------> epoch: 936 --> Test loss = 0.0068 Test Accuracy = 78.3700 
epoch: 937 --> Train loss = 0.0114 Train Accuracy = 48.1060 
------> epoch: 937 --> Test loss = 0.0068 Test Accuracy = 78.7300 
epoch: 938 --> Train loss = 0.0114 Train Accuracy = 49.8860 
------> epoch: 938 --> Test loss = 0.0068 Test Accuracy = 78.6900 
epoch: 939 --> Train loss = 0.0116 Train Accuracy = 46.5640 
------> epoch: 939 --> Test loss = 0.0069 Test Accuracy = 78.5700 
epoch: 940 --> Train loss = 0.0113 Train Accuracy = 47.5460 
------> epoch: 940 --> Test loss = 0.0070 Test Accuracy = 78.0900 
epoch: 941 --> Train loss = 0.0113 Train Accuracy = 46.2120 
------> epoch: 941 --> Test loss = 0.0068 Test Accuracy = 78.3400 
epoch: 942 --> Train loss = 0.0112 Train Accuracy = 50.5620 
------> epoch: 942 --> Test loss = 0.0067 Test Accuracy = 78.7900 
epoch: 943 --> Train loss = 0.0117 Train Accuracy = 47.8520 
------> epoch: 943 --> Test loss = 0.0069 Test Accuracy = 78.2200 
epoch: 944 --> Train loss = 0.0114 Train Accuracy = 50.4940 
------> epoch: 944 --> Test loss = 0.0069 Test Accuracy = 77.7200 
epoch: 945 --> Train loss = 0.0112 Train Accuracy = 48.6400 
------> epoch: 945 --> Test loss = 0.0067 Test Accuracy = 78.9700 
epoch: 946 --> Train loss = 0.0111 Train Accuracy = 49.3620 
------> epoch: 946 --> Test loss = 0.0071 Test Accuracy = 78.0100 
epoch: 947 --> Train loss = 0.0116 Train Accuracy = 46.8020 
------> epoch: 947 --> Test loss = 0.0070 Test Accuracy = 78.4000 
epoch: 948 --> Train loss = 0.0113 Train Accuracy = 47.7140 
------> epoch: 948 --> Test loss = 0.0072 Test Accuracy = 77.8500 
epoch: 949 --> Train loss = 0.0112 Train Accuracy = 50.1080 
------> epoch: 949 --> Test loss = 0.0069 Test Accuracy = 79.2200 
epoch: 950 --> Train loss = 0.0108 Train Accuracy = 49.5620 
------> epoch: 950 --> Test loss = 0.0072 Test Accuracy = 78.0900 
epoch: 951 --> Train loss = 0.0112 Train Accuracy = 47.6480 
------> epoch: 951 --> Test loss = 0.0070 Test Accuracy = 77.9500 
epoch: 952 --> Train loss = 0.0114 Train Accuracy = 49.5460 
------> epoch: 952 --> Test loss = 0.0068 Test Accuracy = 79.1000 
epoch: 953 --> Train loss = 0.0113 Train Accuracy = 49.5240 
------> epoch: 953 --> Test loss = 0.0070 Test Accuracy = 78.3500 
epoch: 954 --> Train loss = 0.0112 Train Accuracy = 45.8000 
------> epoch: 954 --> Test loss = 0.0067 Test Accuracy = 78.5900 
epoch: 955 --> Train loss = 0.0115 Train Accuracy = 48.0220 
------> epoch: 955 --> Test loss = 0.0072 Test Accuracy = 77.6000 
epoch: 956 --> Train loss = 0.0114 Train Accuracy = 50.6180 
------> epoch: 956 --> Test loss = 0.0068 Test Accuracy = 78.3400 
epoch: 957 --> Train loss = 0.0109 Train Accuracy = 50.8560 
------> epoch: 957 --> Test loss = 0.0069 Test Accuracy = 78.4300 
epoch: 958 --> Train loss = 0.0113 Train Accuracy = 45.9380 
------> epoch: 958 --> Test loss = 0.0071 Test Accuracy = 77.8400 
epoch: 959 --> Train loss = 0.0113 Train Accuracy = 48.2160 
------> epoch: 959 --> Test loss = 0.0069 Test Accuracy = 78.0300 
epoch: 960 --> Train loss = 0.0112 Train Accuracy = 49.9500 
------> epoch: 960 --> Test loss = 0.0069 Test Accuracy = 78.8000 
epoch: 961 --> Train loss = 0.0109 Train Accuracy = 46.4220 
------> epoch: 961 --> Test loss = 0.0068 Test Accuracy = 78.1600 
epoch: 962 --> Train loss = 0.0113 Train Accuracy = 47.7200 
------> epoch: 962 --> Test loss = 0.0068 Test Accuracy = 79.1500 
epoch: 963 --> Train loss = 0.0113 Train Accuracy = 48.0100 
------> epoch: 963 --> Test loss = 0.0070 Test Accuracy = 78.6500 
epoch: 964 --> Train loss = 0.0113 Train Accuracy = 44.5640 
------> epoch: 964 --> Test loss = 0.0070 Test Accuracy = 78.5000 
epoch: 965 --> Train loss = 0.0114 Train Accuracy = 48.2020 
------> epoch: 965 --> Test loss = 0.0073 Test Accuracy = 77.4500 
epoch: 966 --> Train loss = 0.0111 Train Accuracy = 49.1860 
------> epoch: 966 --> Test loss = 0.0069 Test Accuracy = 78.3100 
epoch: 967 --> Train loss = 0.0112 Train Accuracy = 46.5780 
------> epoch: 967 --> Test loss = 0.0068 Test Accuracy = 78.7300 
epoch: 968 --> Train loss = 0.0115 Train Accuracy = 49.2580 
------> epoch: 968 --> Test loss = 0.0070 Test Accuracy = 78.4200 
epoch: 969 --> Train loss = 0.0112 Train Accuracy = 46.6480 
------> epoch: 969 --> Test loss = 0.0069 Test Accuracy = 78.2900 
epoch: 970 --> Train loss = 0.0114 Train Accuracy = 47.8460 
------> epoch: 970 --> Test loss = 0.0068 Test Accuracy = 78.7200 
epoch: 971 --> Train loss = 0.0111 Train Accuracy = 51.8620 
------> epoch: 971 --> Test loss = 0.0069 Test Accuracy = 78.2000 
epoch: 972 --> Train loss = 0.0111 Train Accuracy = 51.8880 
------> epoch: 972 --> Test loss = 0.0072 Test Accuracy = 77.6400 
epoch: 973 --> Train loss = 0.0112 Train Accuracy = 46.5760 
------> epoch: 973 --> Test loss = 0.0070 Test Accuracy = 78.4200 
epoch: 974 --> Train loss = 0.0110 Train Accuracy = 47.7380 
------> epoch: 974 --> Test loss = 0.0070 Test Accuracy = 77.6600 
epoch: 975 --> Train loss = 0.0111 Train Accuracy = 49.0020 
------> epoch: 975 --> Test loss = 0.0071 Test Accuracy = 77.8500 
epoch: 976 --> Train loss = 0.0111 Train Accuracy = 48.3400 
------> epoch: 976 --> Test loss = 0.0070 Test Accuracy = 78.3100 
epoch: 977 --> Train loss = 0.0110 Train Accuracy = 49.3640 
------> epoch: 977 --> Test loss = 0.0071 Test Accuracy = 77.8100 
epoch: 978 --> Train loss = 0.0110 Train Accuracy = 46.9020 
------> epoch: 978 --> Test loss = 0.0068 Test Accuracy = 78.2700 
epoch: 979 --> Train loss = 0.0111 Train Accuracy = 49.0460 
------> epoch: 979 --> Test loss = 0.0069 Test Accuracy = 78.1500 
epoch: 980 --> Train loss = 0.0111 Train Accuracy = 48.8140 
------> epoch: 980 --> Test loss = 0.0071 Test Accuracy = 78.0200 
epoch: 981 --> Train loss = 0.0112 Train Accuracy = 47.5600 
------> epoch: 981 --> Test loss = 0.0068 Test Accuracy = 78.5900 
epoch: 982 --> Train loss = 0.0111 Train Accuracy = 48.0320 
------> epoch: 982 --> Test loss = 0.0070 Test Accuracy = 78.7200 
epoch: 983 --> Train loss = 0.0109 Train Accuracy = 48.0640 
------> epoch: 983 --> Test loss = 0.0069 Test Accuracy = 78.2200 
epoch: 984 --> Train loss = 0.0113 Train Accuracy = 46.3060 
------> epoch: 984 --> Test loss = 0.0072 Test Accuracy = 77.4600 
epoch: 985 --> Train loss = 0.0112 Train Accuracy = 49.0320 
------> epoch: 985 --> Test loss = 0.0070 Test Accuracy = 78.8500 
epoch: 986 --> Train loss = 0.0114 Train Accuracy = 52.1280 
------> epoch: 986 --> Test loss = 0.0069 Test Accuracy = 78.6600 
epoch: 987 --> Train loss = 0.0112 Train Accuracy = 50.4260 
------> epoch: 987 --> Test loss = 0.0068 Test Accuracy = 78.7400 
epoch: 988 --> Train loss = 0.0113 Train Accuracy = 45.1700 
------> epoch: 988 --> Test loss = 0.0068 Test Accuracy = 78.4100 
epoch: 989 --> Train loss = 0.0109 Train Accuracy = 44.3300 
------> epoch: 989 --> Test loss = 0.0071 Test Accuracy = 77.6800 
epoch: 990 --> Train loss = 0.0111 Train Accuracy = 48.4280 
------> epoch: 990 --> Test loss = 0.0069 Test Accuracy = 78.5200 
epoch: 991 --> Train loss = 0.0113 Train Accuracy = 48.8600 
------> epoch: 991 --> Test loss = 0.0068 Test Accuracy = 78.4000 
epoch: 992 --> Train loss = 0.0110 Train Accuracy = 50.4060 
------> epoch: 992 --> Test loss = 0.0067 Test Accuracy = 78.3700 
epoch: 993 --> Train loss = 0.0112 Train Accuracy = 44.3800 
------> epoch: 993 --> Test loss = 0.0071 Test Accuracy = 77.7900 
epoch: 994 --> Train loss = 0.0116 Train Accuracy = 50.6580 
------> epoch: 994 --> Test loss = 0.0071 Test Accuracy = 78.1900 
epoch: 995 --> Train loss = 0.0117 Train Accuracy = 46.0300 
------> epoch: 995 --> Test loss = 0.0072 Test Accuracy = 77.7300 
epoch: 996 --> Train loss = 0.0112 Train Accuracy = 46.0060 
------> epoch: 996 --> Test loss = 0.0070 Test Accuracy = 78.4200 
epoch: 997 --> Train loss = 0.0110 Train Accuracy = 51.0280 
------> epoch: 997 --> Test loss = 0.0068 Test Accuracy = 78.4200 
epoch: 998 --> Train loss = 0.0112 Train Accuracy = 50.5480 
------> epoch: 998 --> Test loss = 0.0072 Test Accuracy = 77.4300 
epoch: 999 --> Train loss = 0.0111 Train Accuracy = 45.7580 
------> epoch: 999 --> Test loss = 0.0070 Test Accuracy = 77.8700 
epoch: 1000 --> Train loss = 0.0109 Train Accuracy = 49.7800 
------> epoch: 1000 --> Test loss = 0.0064 Test Accuracy = 80.0400 
epoch: 1001 --> Train loss = 0.0108 Train Accuracy = 46.9920 
------> epoch: 1001 --> Test loss = 0.0063 Test Accuracy = 79.9600 
epoch: 1002 --> Train loss = 0.0107 Train Accuracy = 44.2180 
------> epoch: 1002 --> Test loss = 0.0063 Test Accuracy = 80.3300 
Saving..
epoch: 1003 --> Train loss = 0.0109 Train Accuracy = 49.2640 
------> epoch: 1003 --> Test loss = 0.0063 Test Accuracy = 79.7800 
epoch: 1004 --> Train loss = 0.0104 Train Accuracy = 50.2600 
------> epoch: 1004 --> Test loss = 0.0062 Test Accuracy = 80.0600 
epoch: 1005 --> Train loss = 0.0107 Train Accuracy = 48.9520 
------> epoch: 1005 --> Test loss = 0.0062 Test Accuracy = 80.0700 
epoch: 1006 --> Train loss = 0.0107 Train Accuracy = 48.4860 
------> epoch: 1006 --> Test loss = 0.0062 Test Accuracy = 80.4900 
Saving..
epoch: 1007 --> Train loss = 0.0105 Train Accuracy = 46.7960 
------> epoch: 1007 --> Test loss = 0.0063 Test Accuracy = 80.0900 
epoch: 1008 --> Train loss = 0.0109 Train Accuracy = 52.4400 
------> epoch: 1008 --> Test loss = 0.0062 Test Accuracy = 80.0000 
epoch: 1009 --> Train loss = 0.0108 Train Accuracy = 47.1300 
------> epoch: 1009 --> Test loss = 0.0063 Test Accuracy = 79.7400 
epoch: 1010 --> Train loss = 0.0105 Train Accuracy = 49.7260 
------> epoch: 1010 --> Test loss = 0.0062 Test Accuracy = 80.4400 
epoch: 1011 --> Train loss = 0.0104 Train Accuracy = 45.9460 
------> epoch: 1011 --> Test loss = 0.0062 Test Accuracy = 80.6300 
Saving..
epoch: 1012 --> Train loss = 0.0105 Train Accuracy = 50.9800 
------> epoch: 1012 --> Test loss = 0.0062 Test Accuracy = 80.4400 
epoch: 1013 --> Train loss = 0.0106 Train Accuracy = 45.6500 
------> epoch: 1013 --> Test loss = 0.0063 Test Accuracy = 79.9800 
epoch: 1014 --> Train loss = 0.0104 Train Accuracy = 47.6400 
------> epoch: 1014 --> Test loss = 0.0061 Test Accuracy = 80.7000 
Saving..
epoch: 1015 --> Train loss = 0.0105 Train Accuracy = 49.5260 
------> epoch: 1015 --> Test loss = 0.0062 Test Accuracy = 80.2900 
epoch: 1016 --> Train loss = 0.0105 Train Accuracy = 49.2840 
------> epoch: 1016 --> Test loss = 0.0061 Test Accuracy = 80.6000 
epoch: 1017 --> Train loss = 0.0104 Train Accuracy = 50.2440 
------> epoch: 1017 --> Test loss = 0.0063 Test Accuracy = 79.9300 
epoch: 1018 --> Train loss = 0.0103 Train Accuracy = 46.8760 
------> epoch: 1018 --> Test loss = 0.0061 Test Accuracy = 80.6500 
epoch: 1019 --> Train loss = 0.0105 Train Accuracy = 48.5500 
------> epoch: 1019 --> Test loss = 0.0062 Test Accuracy = 80.3000 
epoch: 1020 --> Train loss = 0.0107 Train Accuracy = 50.4040 
------> epoch: 1020 --> Test loss = 0.0062 Test Accuracy = 80.0500 
epoch: 1021 --> Train loss = 0.0102 Train Accuracy = 51.6780 
------> epoch: 1021 --> Test loss = 0.0061 Test Accuracy = 80.4100 
epoch: 1022 --> Train loss = 0.0105 Train Accuracy = 48.9180 
------> epoch: 1022 --> Test loss = 0.0061 Test Accuracy = 80.4500 
epoch: 1023 --> Train loss = 0.0105 Train Accuracy = 51.0540 
------> epoch: 1023 --> Test loss = 0.0061 Test Accuracy = 80.5500 
epoch: 1024 --> Train loss = 0.0104 Train Accuracy = 47.2660 
------> epoch: 1024 --> Test loss = 0.0062 Test Accuracy = 80.4300 
epoch: 1025 --> Train loss = 0.0105 Train Accuracy = 48.5980 
------> epoch: 1025 --> Test loss = 0.0062 Test Accuracy = 80.3000 
epoch: 1026 --> Train loss = 0.0103 Train Accuracy = 45.3680 
------> epoch: 1026 --> Test loss = 0.0061 Test Accuracy = 80.3600 
epoch: 1027 --> Train loss = 0.0103 Train Accuracy = 46.9720 
------> epoch: 1027 --> Test loss = 0.0062 Test Accuracy = 80.2200 
epoch: 1028 --> Train loss = 0.0104 Train Accuracy = 53.6660 
------> epoch: 1028 --> Test loss = 0.0061 Test Accuracy = 80.6200 
epoch: 1029 --> Train loss = 0.0104 Train Accuracy = 48.2420 
------> epoch: 1029 --> Test loss = 0.0060 Test Accuracy = 80.6600 
epoch: 1030 --> Train loss = 0.0103 Train Accuracy = 49.0780 
------> epoch: 1030 --> Test loss = 0.0060 Test Accuracy = 80.5900 
epoch: 1031 --> Train loss = 0.0102 Train Accuracy = 54.0500 
------> epoch: 1031 --> Test loss = 0.0060 Test Accuracy = 80.6400 
epoch: 1032 --> Train loss = 0.0105 Train Accuracy = 50.0680 
------> epoch: 1032 --> Test loss = 0.0061 Test Accuracy = 80.6700 
epoch: 1033 --> Train loss = 0.0105 Train Accuracy = 48.4180 
------> epoch: 1033 --> Test loss = 0.0062 Test Accuracy = 80.3900 
epoch: 1034 --> Train loss = 0.0105 Train Accuracy = 47.4580 
------> epoch: 1034 --> Test loss = 0.0061 Test Accuracy = 80.5100 
epoch: 1035 --> Train loss = 0.0105 Train Accuracy = 46.4800 
------> epoch: 1035 --> Test loss = 0.0061 Test Accuracy = 80.3200 
epoch: 1036 --> Train loss = 0.0101 Train Accuracy = 51.9760 
------> epoch: 1036 --> Test loss = 0.0061 Test Accuracy = 81.2400 
Saving..
epoch: 1037 --> Train loss = 0.0104 Train Accuracy = 48.6760 
------> epoch: 1037 --> Test loss = 0.0061 Test Accuracy = 80.4400 
epoch: 1038 --> Train loss = 0.0104 Train Accuracy = 49.7020 
------> epoch: 1038 --> Test loss = 0.0061 Test Accuracy = 80.5500 
epoch: 1039 --> Train loss = 0.0102 Train Accuracy = 47.2740 
------> epoch: 1039 --> Test loss = 0.0060 Test Accuracy = 80.5100 
epoch: 1040 --> Train loss = 0.0105 Train Accuracy = 49.4620 
------> epoch: 1040 --> Test loss = 0.0062 Test Accuracy = 80.7700 
epoch: 1041 --> Train loss = 0.0102 Train Accuracy = 51.1820 
------> epoch: 1041 --> Test loss = 0.0061 Test Accuracy = 80.6600 
epoch: 1042 --> Train loss = 0.0104 Train Accuracy = 49.1420 
------> epoch: 1042 --> Test loss = 0.0061 Test Accuracy = 80.9300 
epoch: 1043 --> Train loss = 0.0105 Train Accuracy = 45.3620 
------> epoch: 1043 --> Test loss = 0.0061 Test Accuracy = 80.5100 
epoch: 1044 --> Train loss = 0.0103 Train Accuracy = 45.8320 
------> epoch: 1044 --> Test loss = 0.0060 Test Accuracy = 80.9700 
epoch: 1045 --> Train loss = 0.0102 Train Accuracy = 54.7500 
------> epoch: 1045 --> Test loss = 0.0061 Test Accuracy = 80.9100 
epoch: 1046 --> Train loss = 0.0102 Train Accuracy = 52.1780 
------> epoch: 1046 --> Test loss = 0.0060 Test Accuracy = 80.6600 
epoch: 1047 --> Train loss = 0.0103 Train Accuracy = 49.0100 
------> epoch: 1047 --> Test loss = 0.0060 Test Accuracy = 80.6300 
epoch: 1048 --> Train loss = 0.0103 Train Accuracy = 47.0040 
------> epoch: 1048 --> Test loss = 0.0060 Test Accuracy = 80.9700 
epoch: 1049 --> Train loss = 0.0105 Train Accuracy = 52.5460 
------> epoch: 1049 --> Test loss = 0.0061 Test Accuracy = 80.6200 
epoch: 1050 --> Train loss = 0.0102 Train Accuracy = 49.1900 
------> epoch: 1050 --> Test loss = 0.0060 Test Accuracy = 80.6400 
epoch: 1051 --> Train loss = 0.0104 Train Accuracy = 48.1500 
------> epoch: 1051 --> Test loss = 0.0061 Test Accuracy = 80.5900 
epoch: 1052 --> Train loss = 0.0104 Train Accuracy = 44.1940 
------> epoch: 1052 --> Test loss = 0.0061 Test Accuracy = 80.6300 
epoch: 1053 --> Train loss = 0.0105 Train Accuracy = 47.8400 
------> epoch: 1053 --> Test loss = 0.0062 Test Accuracy = 80.5000 
epoch: 1054 --> Train loss = 0.0103 Train Accuracy = 47.2700 
------> epoch: 1054 --> Test loss = 0.0060 Test Accuracy = 80.8700 
epoch: 1055 --> Train loss = 0.0106 Train Accuracy = 46.9200 
------> epoch: 1055 --> Test loss = 0.0061 Test Accuracy = 80.9100 
epoch: 1056 --> Train loss = 0.0102 Train Accuracy = 47.0920 
------> epoch: 1056 --> Test loss = 0.0062 Test Accuracy = 80.4200 
epoch: 1057 --> Train loss = 0.0102 Train Accuracy = 51.9400 
------> epoch: 1057 --> Test loss = 0.0063 Test Accuracy = 80.1300 
epoch: 1058 --> Train loss = 0.0102 Train Accuracy = 50.5860 
------> epoch: 1058 --> Test loss = 0.0061 Test Accuracy = 80.4900 
epoch: 1059 --> Train loss = 0.0107 Train Accuracy = 49.0700 
------> epoch: 1059 --> Test loss = 0.0061 Test Accuracy = 80.4700 
epoch: 1060 --> Train loss = 0.0101 Train Accuracy = 45.8220 
------> epoch: 1060 --> Test loss = 0.0061 Test Accuracy = 81.0900 
epoch: 1061 --> Train loss = 0.0105 Train Accuracy = 49.2680 
------> epoch: 1061 --> Test loss = 0.0060 Test Accuracy = 80.8700 
epoch: 1062 --> Train loss = 0.0104 Train Accuracy = 45.0260 
------> epoch: 1062 --> Test loss = 0.0061 Test Accuracy = 80.5100 
epoch: 1063 --> Train loss = 0.0103 Train Accuracy = 46.9320 
------> epoch: 1063 --> Test loss = 0.0062 Test Accuracy = 80.5700 
epoch: 1064 --> Train loss = 0.0103 Train Accuracy = 51.3840 
------> epoch: 1064 --> Test loss = 0.0061 Test Accuracy = 80.4500 
epoch: 1065 --> Train loss = 0.0100 Train Accuracy = 51.9820 
------> epoch: 1065 --> Test loss = 0.0060 Test Accuracy = 80.8600 
epoch: 1066 --> Train loss = 0.0103 Train Accuracy = 51.7600 
------> epoch: 1066 --> Test loss = 0.0060 Test Accuracy = 80.9200 
epoch: 1067 --> Train loss = 0.0103 Train Accuracy = 50.6620 
------> epoch: 1067 --> Test loss = 0.0061 Test Accuracy = 80.6600 
epoch: 1068 --> Train loss = 0.0102 Train Accuracy = 50.1140 
------> epoch: 1068 --> Test loss = 0.0061 Test Accuracy = 80.8900 
epoch: 1069 --> Train loss = 0.0101 Train Accuracy = 48.5600 
------> epoch: 1069 --> Test loss = 0.0060 Test Accuracy = 81.1100 
epoch: 1070 --> Train loss = 0.0103 Train Accuracy = 50.7840 
------> epoch: 1070 --> Test loss = 0.0061 Test Accuracy = 80.6400 
epoch: 1071 --> Train loss = 0.0100 Train Accuracy = 48.9740 
------> epoch: 1071 --> Test loss = 0.0060 Test Accuracy = 81.2000 
epoch: 1072 --> Train loss = 0.0104 Train Accuracy = 49.0900 
------> epoch: 1072 --> Test loss = 0.0060 Test Accuracy = 81.1400 
epoch: 1073 --> Train loss = 0.0103 Train Accuracy = 52.0180 
------> epoch: 1073 --> Test loss = 0.0060 Test Accuracy = 81.1700 
epoch: 1074 --> Train loss = 0.0103 Train Accuracy = 49.6300 
------> epoch: 1074 --> Test loss = 0.0063 Test Accuracy = 80.0300 
epoch: 1075 --> Train loss = 0.0102 Train Accuracy = 49.8900 
------> epoch: 1075 --> Test loss = 0.0060 Test Accuracy = 80.9900 
epoch: 1076 --> Train loss = 0.0103 Train Accuracy = 51.6360 
------> epoch: 1076 --> Test loss = 0.0061 Test Accuracy = 80.4800 
epoch: 1077 --> Train loss = 0.0105 Train Accuracy = 47.3260 
------> epoch: 1077 --> Test loss = 0.0061 Test Accuracy = 80.5400 
epoch: 1078 --> Train loss = 0.0101 Train Accuracy = 49.3660 
------> epoch: 1078 --> Test loss = 0.0061 Test Accuracy = 80.5600 
epoch: 1079 --> Train loss = 0.0105 Train Accuracy = 49.0380 
------> epoch: 1079 --> Test loss = 0.0061 Test Accuracy = 80.7900 
epoch: 1080 --> Train loss = 0.0101 Train Accuracy = 48.9620 
------> epoch: 1080 --> Test loss = 0.0060 Test Accuracy = 80.9100 
epoch: 1081 --> Train loss = 0.0103 Train Accuracy = 49.7160 
------> epoch: 1081 --> Test loss = 0.0062 Test Accuracy = 80.4300 
epoch: 1082 --> Train loss = 0.0103 Train Accuracy = 49.7420 
------> epoch: 1082 --> Test loss = 0.0060 Test Accuracy = 80.5400 
epoch: 1083 --> Train loss = 0.0102 Train Accuracy = 49.0940 
------> epoch: 1083 --> Test loss = 0.0061 Test Accuracy = 80.6000 
epoch: 1084 --> Train loss = 0.0103 Train Accuracy = 46.8120 
------> epoch: 1084 --> Test loss = 0.0061 Test Accuracy = 80.9600 
epoch: 1085 --> Train loss = 0.0103 Train Accuracy = 44.8880 
------> epoch: 1085 --> Test loss = 0.0060 Test Accuracy = 81.0000 
epoch: 1086 --> Train loss = 0.0102 Train Accuracy = 48.9800 
------> epoch: 1086 --> Test loss = 0.0063 Test Accuracy = 80.4700 
epoch: 1087 --> Train loss = 0.0101 Train Accuracy = 48.7880 
------> epoch: 1087 --> Test loss = 0.0060 Test Accuracy = 81.3000 
Saving..
epoch: 1088 --> Train loss = 0.0102 Train Accuracy = 51.1720 
------> epoch: 1088 --> Test loss = 0.0060 Test Accuracy = 80.8100 
epoch: 1089 --> Train loss = 0.0099 Train Accuracy = 49.4920 
------> epoch: 1089 --> Test loss = 0.0059 Test Accuracy = 81.0100 
epoch: 1090 --> Train loss = 0.0103 Train Accuracy = 51.1360 
------> epoch: 1090 --> Test loss = 0.0061 Test Accuracy = 80.7700 
epoch: 1091 --> Train loss = 0.0104 Train Accuracy = 51.0600 
------> epoch: 1091 --> Test loss = 0.0062 Test Accuracy = 80.5400 
epoch: 1092 --> Train loss = 0.0104 Train Accuracy = 50.0640 
------> epoch: 1092 --> Test loss = 0.0060 Test Accuracy = 80.8400 
epoch: 1093 --> Train loss = 0.0101 Train Accuracy = 48.0320 
------> epoch: 1093 --> Test loss = 0.0061 Test Accuracy = 81.0000 
epoch: 1094 --> Train loss = 0.0104 Train Accuracy = 49.3500 
------> epoch: 1094 --> Test loss = 0.0061 Test Accuracy = 80.6700 
epoch: 1095 --> Train loss = 0.0103 Train Accuracy = 45.1480 
------> epoch: 1095 --> Test loss = 0.0060 Test Accuracy = 80.9600 
epoch: 1096 --> Train loss = 0.0103 Train Accuracy = 48.9440 
------> epoch: 1096 --> Test loss = 0.0060 Test Accuracy = 81.0600 
epoch: 1097 --> Train loss = 0.0103 Train Accuracy = 47.3260 
------> epoch: 1097 --> Test loss = 0.0060 Test Accuracy = 80.6200 
epoch: 1098 --> Train loss = 0.0103 Train Accuracy = 50.3720 
------> epoch: 1098 --> Test loss = 0.0061 Test Accuracy = 80.5000 
epoch: 1099 --> Train loss = 0.0101 Train Accuracy = 47.9840 
------> epoch: 1099 --> Test loss = 0.0059 Test Accuracy = 81.2000 
epoch: 1100 --> Train loss = 0.0103 Train Accuracy = 46.7620 
------> epoch: 1100 --> Test loss = 0.0061 Test Accuracy = 81.0000 
epoch: 1101 --> Train loss = 0.0102 Train Accuracy = 45.2660 
------> epoch: 1101 --> Test loss = 0.0060 Test Accuracy = 81.0400 
epoch: 1102 --> Train loss = 0.0100 Train Accuracy = 47.1080 
------> epoch: 1102 --> Test loss = 0.0061 Test Accuracy = 80.6900 
epoch: 1103 --> Train loss = 0.0103 Train Accuracy = 51.2280 
------> epoch: 1103 --> Test loss = 0.0061 Test Accuracy = 80.6500 
epoch: 1104 --> Train loss = 0.0103 Train Accuracy = 47.1620 
------> epoch: 1104 --> Test loss = 0.0060 Test Accuracy = 80.9600 
epoch: 1105 --> Train loss = 0.0101 Train Accuracy = 48.0280 
------> epoch: 1105 --> Test loss = 0.0059 Test Accuracy = 81.0700 
epoch: 1106 --> Train loss = 0.0099 Train Accuracy = 50.4400 
------> epoch: 1106 --> Test loss = 0.0062 Test Accuracy = 80.6200 
epoch: 1107 --> Train loss = 0.0103 Train Accuracy = 48.1680 
------> epoch: 1107 --> Test loss = 0.0060 Test Accuracy = 81.0900 
epoch: 1108 --> Train loss = 0.0100 Train Accuracy = 51.6560 
------> epoch: 1108 --> Test loss = 0.0060 Test Accuracy = 81.1100 
epoch: 1109 --> Train loss = 0.0102 Train Accuracy = 49.2540 
------> epoch: 1109 --> Test loss = 0.0060 Test Accuracy = 81.5300 
Saving..
epoch: 1110 --> Train loss = 0.0100 Train Accuracy = 45.8060 
------> epoch: 1110 --> Test loss = 0.0060 Test Accuracy = 80.9600 
epoch: 1111 --> Train loss = 0.0100 Train Accuracy = 49.4520 
------> epoch: 1111 --> Test loss = 0.0060 Test Accuracy = 81.1500 
epoch: 1112 --> Train loss = 0.0103 Train Accuracy = 50.2100 
------> epoch: 1112 --> Test loss = 0.0060 Test Accuracy = 81.4000 
epoch: 1113 --> Train loss = 0.0102 Train Accuracy = 47.6220 
------> epoch: 1113 --> Test loss = 0.0061 Test Accuracy = 81.3900 
epoch: 1114 --> Train loss = 0.0102 Train Accuracy = 50.1600 
------> epoch: 1114 --> Test loss = 0.0060 Test Accuracy = 81.2900 
epoch: 1115 --> Train loss = 0.0103 Train Accuracy = 48.8440 
------> epoch: 1115 --> Test loss = 0.0060 Test Accuracy = 80.8600 
epoch: 1116 --> Train loss = 0.0102 Train Accuracy = 53.4020 
------> epoch: 1116 --> Test loss = 0.0060 Test Accuracy = 81.4400 
epoch: 1117 --> Train loss = 0.0103 Train Accuracy = 45.2700 
------> epoch: 1117 --> Test loss = 0.0060 Test Accuracy = 81.0900 
epoch: 1118 --> Train loss = 0.0100 Train Accuracy = 49.6920 
------> epoch: 1118 --> Test loss = 0.0059 Test Accuracy = 81.3400 
epoch: 1119 --> Train loss = 0.0103 Train Accuracy = 46.4320 
------> epoch: 1119 --> Test loss = 0.0060 Test Accuracy = 80.8900 
epoch: 1120 --> Train loss = 0.0101 Train Accuracy = 49.5260 
------> epoch: 1120 --> Test loss = 0.0060 Test Accuracy = 81.2200 
epoch: 1121 --> Train loss = 0.0100 Train Accuracy = 49.5440 
------> epoch: 1121 --> Test loss = 0.0060 Test Accuracy = 81.0000 
epoch: 1122 --> Train loss = 0.0102 Train Accuracy = 53.3100 
------> epoch: 1122 --> Test loss = 0.0061 Test Accuracy = 80.7500 
epoch: 1123 --> Train loss = 0.0101 Train Accuracy = 51.3100 
------> epoch: 1123 --> Test loss = 0.0059 Test Accuracy = 81.0900 
epoch: 1124 --> Train loss = 0.0100 Train Accuracy = 46.2520 
------> epoch: 1124 --> Test loss = 0.0059 Test Accuracy = 81.4400 
epoch: 1125 --> Train loss = 0.0101 Train Accuracy = 48.5600 
------> epoch: 1125 --> Test loss = 0.0060 Test Accuracy = 81.0600 
epoch: 1126 --> Train loss = 0.0101 Train Accuracy = 50.7880 
------> epoch: 1126 --> Test loss = 0.0060 Test Accuracy = 81.4500 
epoch: 1127 --> Train loss = 0.0101 Train Accuracy = 44.7120 
------> epoch: 1127 --> Test loss = 0.0060 Test Accuracy = 81.1800 
epoch: 1128 --> Train loss = 0.0103 Train Accuracy = 48.6500 
------> epoch: 1128 --> Test loss = 0.0064 Test Accuracy = 80.2300 
epoch: 1129 --> Train loss = 0.0105 Train Accuracy = 48.3520 
------> epoch: 1129 --> Test loss = 0.0059 Test Accuracy = 81.4200 
epoch: 1130 --> Train loss = 0.0102 Train Accuracy = 49.5760 
------> epoch: 1130 --> Test loss = 0.0059 Test Accuracy = 81.2900 
epoch: 1131 --> Train loss = 0.0102 Train Accuracy = 48.8880 
------> epoch: 1131 --> Test loss = 0.0058 Test Accuracy = 81.6000 
Saving..
epoch: 1132 --> Train loss = 0.0101 Train Accuracy = 49.8960 
------> epoch: 1132 --> Test loss = 0.0059 Test Accuracy = 81.5100 
epoch: 1133 --> Train loss = 0.0100 Train Accuracy = 51.8800 
------> epoch: 1133 --> Test loss = 0.0059 Test Accuracy = 81.2400 
epoch: 1134 --> Train loss = 0.0101 Train Accuracy = 51.3080 
------> epoch: 1134 --> Test loss = 0.0060 Test Accuracy = 80.8600 
epoch: 1135 --> Train loss = 0.0102 Train Accuracy = 48.4580 
------> epoch: 1135 --> Test loss = 0.0063 Test Accuracy = 80.6600 
epoch: 1136 --> Train loss = 0.0101 Train Accuracy = 49.6820 
------> epoch: 1136 --> Test loss = 0.0059 Test Accuracy = 81.3200 
epoch: 1137 --> Train loss = 0.0102 Train Accuracy = 49.6800 
------> epoch: 1137 --> Test loss = 0.0061 Test Accuracy = 80.8500 
epoch: 1138 --> Train loss = 0.0102 Train Accuracy = 48.9440 
------> epoch: 1138 --> Test loss = 0.0059 Test Accuracy = 81.0500 
epoch: 1139 --> Train loss = 0.0102 Train Accuracy = 51.6760 
------> epoch: 1139 --> Test loss = 0.0059 Test Accuracy = 81.1700 
epoch: 1140 --> Train loss = 0.0100 Train Accuracy = 46.6240 
------> epoch: 1140 --> Test loss = 0.0060 Test Accuracy = 81.1200 
epoch: 1141 --> Train loss = 0.0100 Train Accuracy = 46.8720 
------> epoch: 1141 --> Test loss = 0.0059 Test Accuracy = 81.1100 
epoch: 1142 --> Train loss = 0.0102 Train Accuracy = 49.5960 
------> epoch: 1142 --> Test loss = 0.0059 Test Accuracy = 81.1600 
epoch: 1143 --> Train loss = 0.0104 Train Accuracy = 45.8060 
------> epoch: 1143 --> Test loss = 0.0060 Test Accuracy = 81.1500 
epoch: 1144 --> Train loss = 0.0104 Train Accuracy = 49.7300 
------> epoch: 1144 --> Test loss = 0.0061 Test Accuracy = 81.1800 
epoch: 1145 --> Train loss = 0.0099 Train Accuracy = 57.1600 
------> epoch: 1145 --> Test loss = 0.0062 Test Accuracy = 80.7200 
epoch: 1146 --> Train loss = 0.0103 Train Accuracy = 52.5560 
------> epoch: 1146 --> Test loss = 0.0060 Test Accuracy = 80.9100 
epoch: 1147 --> Train loss = 0.0103 Train Accuracy = 49.8280 
------> epoch: 1147 --> Test loss = 0.0059 Test Accuracy = 81.0300 
epoch: 1148 --> Train loss = 0.0102 Train Accuracy = 48.4120 
------> epoch: 1148 --> Test loss = 0.0060 Test Accuracy = 81.2000 
epoch: 1149 --> Train loss = 0.0100 Train Accuracy = 50.7760 
------> epoch: 1149 --> Test loss = 0.0060 Test Accuracy = 80.9700 
epoch: 1150 --> Train loss = 0.0102 Train Accuracy = 48.0520 
------> epoch: 1150 --> Test loss = 0.0063 Test Accuracy = 80.0800 
epoch: 1151 --> Train loss = 0.0101 Train Accuracy = 48.9280 
------> epoch: 1151 --> Test loss = 0.0060 Test Accuracy = 81.0900 
epoch: 1152 --> Train loss = 0.0104 Train Accuracy = 51.2600 
------> epoch: 1152 --> Test loss = 0.0060 Test Accuracy = 81.2400 
epoch: 1153 --> Train loss = 0.0102 Train Accuracy = 46.7120 
------> epoch: 1153 --> Test loss = 0.0060 Test Accuracy = 80.8000 
epoch: 1154 --> Train loss = 0.0099 Train Accuracy = 50.6960 
------> epoch: 1154 --> Test loss = 0.0060 Test Accuracy = 81.0500 
epoch: 1155 --> Train loss = 0.0102 Train Accuracy = 51.5900 
------> epoch: 1155 --> Test loss = 0.0060 Test Accuracy = 81.1000 
epoch: 1156 --> Train loss = 0.0100 Train Accuracy = 47.1860 
------> epoch: 1156 --> Test loss = 0.0061 Test Accuracy = 80.8900 
epoch: 1157 --> Train loss = 0.0104 Train Accuracy = 49.3580 
------> epoch: 1157 --> Test loss = 0.0060 Test Accuracy = 80.8800 
epoch: 1158 --> Train loss = 0.0101 Train Accuracy = 49.0440 
------> epoch: 1158 --> Test loss = 0.0060 Test Accuracy = 81.2600 
epoch: 1159 --> Train loss = 0.0101 Train Accuracy = 50.8180 
------> epoch: 1159 --> Test loss = 0.0060 Test Accuracy = 81.1400 
epoch: 1160 --> Train loss = 0.0098 Train Accuracy = 51.3960 
------> epoch: 1160 --> Test loss = 0.0059 Test Accuracy = 81.2300 
epoch: 1161 --> Train loss = 0.0102 Train Accuracy = 47.6460 
------> epoch: 1161 --> Test loss = 0.0060 Test Accuracy = 80.8000 
epoch: 1162 --> Train loss = 0.0101 Train Accuracy = 50.2940 
------> epoch: 1162 --> Test loss = 0.0060 Test Accuracy = 80.6700 
epoch: 1163 --> Train loss = 0.0101 Train Accuracy = 48.3240 
------> epoch: 1163 --> Test loss = 0.0060 Test Accuracy = 80.9300 
epoch: 1164 --> Train loss = 0.0102 Train Accuracy = 49.3220 
------> epoch: 1164 --> Test loss = 0.0061 Test Accuracy = 80.8900 
epoch: 1165 --> Train loss = 0.0103 Train Accuracy = 50.0140 
------> epoch: 1165 --> Test loss = 0.0059 Test Accuracy = 80.7300 
epoch: 1166 --> Train loss = 0.0099 Train Accuracy = 51.8940 
------> epoch: 1166 --> Test loss = 0.0061 Test Accuracy = 80.7100 
epoch: 1167 --> Train loss = 0.0104 Train Accuracy = 48.7580 
------> epoch: 1167 --> Test loss = 0.0060 Test Accuracy = 81.1500 
epoch: 1168 --> Train loss = 0.0100 Train Accuracy = 48.9760 
------> epoch: 1168 --> Test loss = 0.0059 Test Accuracy = 81.0300 
epoch: 1169 --> Train loss = 0.0102 Train Accuracy = 46.6360 
------> epoch: 1169 --> Test loss = 0.0060 Test Accuracy = 81.1100 
epoch: 1170 --> Train loss = 0.0099 Train Accuracy = 48.9120 
------> epoch: 1170 --> Test loss = 0.0060 Test Accuracy = 81.2200 
epoch: 1171 --> Train loss = 0.0101 Train Accuracy = 48.6620 
------> epoch: 1171 --> Test loss = 0.0059 Test Accuracy = 81.0500 
epoch: 1172 --> Train loss = 0.0101 Train Accuracy = 49.1260 
------> epoch: 1172 --> Test loss = 0.0063 Test Accuracy = 80.2100 
epoch: 1173 --> Train loss = 0.0103 Train Accuracy = 51.2700 
------> epoch: 1173 --> Test loss = 0.0061 Test Accuracy = 80.6400 
epoch: 1174 --> Train loss = 0.0100 Train Accuracy = 48.9380 
------> epoch: 1174 --> Test loss = 0.0062 Test Accuracy = 80.5500 
epoch: 1175 --> Train loss = 0.0103 Train Accuracy = 48.6420 
------> epoch: 1175 --> Test loss = 0.0060 Test Accuracy = 80.8600 
epoch: 1176 --> Train loss = 0.0101 Train Accuracy = 52.9360 
------> epoch: 1176 --> Test loss = 0.0060 Test Accuracy = 80.9900 
epoch: 1177 --> Train loss = 0.0103 Train Accuracy = 51.5440 
------> epoch: 1177 --> Test loss = 0.0060 Test Accuracy = 80.8000 
epoch: 1178 --> Train loss = 0.0101 Train Accuracy = 48.0300 
------> epoch: 1178 --> Test loss = 0.0060 Test Accuracy = 80.6900 
epoch: 1179 --> Train loss = 0.0100 Train Accuracy = 52.4980 
------> epoch: 1179 --> Test loss = 0.0059 Test Accuracy = 81.0100 
epoch: 1180 --> Train loss = 0.0102 Train Accuracy = 49.7780 
------> epoch: 1180 --> Test loss = 0.0060 Test Accuracy = 81.1400 
epoch: 1181 --> Train loss = 0.0100 Train Accuracy = 49.4300 
------> epoch: 1181 --> Test loss = 0.0060 Test Accuracy = 80.9500 
epoch: 1182 --> Train loss = 0.0101 Train Accuracy = 49.5680 
------> epoch: 1182 --> Test loss = 0.0060 Test Accuracy = 80.9100 
epoch: 1183 --> Train loss = 0.0102 Train Accuracy = 52.4060 
------> epoch: 1183 --> Test loss = 0.0062 Test Accuracy = 80.5500 
epoch: 1184 --> Train loss = 0.0101 Train Accuracy = 48.2680 
------> epoch: 1184 --> Test loss = 0.0060 Test Accuracy = 80.7300 
epoch: 1185 --> Train loss = 0.0102 Train Accuracy = 45.7240 
------> epoch: 1185 --> Test loss = 0.0059 Test Accuracy = 80.9300 
epoch: 1186 --> Train loss = 0.0101 Train Accuracy = 49.4560 
------> epoch: 1186 --> Test loss = 0.0059 Test Accuracy = 81.1500 
epoch: 1187 --> Train loss = 0.0103 Train Accuracy = 50.0580 
------> epoch: 1187 --> Test loss = 0.0059 Test Accuracy = 81.1300 
epoch: 1188 --> Train loss = 0.0101 Train Accuracy = 51.2940 
------> epoch: 1188 --> Test loss = 0.0061 Test Accuracy = 81.0100 
epoch: 1189 --> Train loss = 0.0102 Train Accuracy = 50.1180 
------> epoch: 1189 --> Test loss = 0.0061 Test Accuracy = 81.1900 
epoch: 1190 --> Train loss = 0.0100 Train Accuracy = 50.3420 
------> epoch: 1190 --> Test loss = 0.0060 Test Accuracy = 81.1600 
epoch: 1191 --> Train loss = 0.0101 Train Accuracy = 48.1920 
------> epoch: 1191 --> Test loss = 0.0060 Test Accuracy = 80.8100 
epoch: 1192 --> Train loss = 0.0100 Train Accuracy = 51.0000 
------> epoch: 1192 --> Test loss = 0.0060 Test Accuracy = 80.8600 
epoch: 1193 --> Train loss = 0.0098 Train Accuracy = 48.0600 
------> epoch: 1193 --> Test loss = 0.0059 Test Accuracy = 80.9300 
epoch: 1194 --> Train loss = 0.0101 Train Accuracy = 52.3460 
------> epoch: 1194 --> Test loss = 0.0060 Test Accuracy = 81.0600 
epoch: 1195 --> Train loss = 0.0100 Train Accuracy = 51.7240 
------> epoch: 1195 --> Test loss = 0.0061 Test Accuracy = 80.6300 
epoch: 1196 --> Train loss = 0.0102 Train Accuracy = 50.2420 
------> epoch: 1196 --> Test loss = 0.0060 Test Accuracy = 80.9700 
epoch: 1197 --> Train loss = 0.0100 Train Accuracy = 50.8540 
------> epoch: 1197 --> Test loss = 0.0059 Test Accuracy = 81.1300 
epoch: 1198 --> Train loss = 0.0101 Train Accuracy = 49.8120 
------> epoch: 1198 --> Test loss = 0.0064 Test Accuracy = 80.3800 
epoch: 1199 --> Train loss = 0.0102 Train Accuracy = 50.5020 
------> epoch: 1199 --> Test loss = 0.0059 Test Accuracy = 81.1200 
epoch: 1200 --> Train loss = 0.0102 Train Accuracy = 52.4280 
------> epoch: 1200 --> Test loss = 0.0059 Test Accuracy = 81.3000 
epoch: 1201 --> Train loss = 0.0102 Train Accuracy = 50.7720 
------> epoch: 1201 --> Test loss = 0.0060 Test Accuracy = 81.3800 
epoch: 1202 --> Train loss = 0.0101 Train Accuracy = 50.2280 
------> epoch: 1202 --> Test loss = 0.0060 Test Accuracy = 81.1100 
epoch: 1203 --> Train loss = 0.0101 Train Accuracy = 49.0160 
------> epoch: 1203 --> Test loss = 0.0060 Test Accuracy = 81.2300 
epoch: 1204 --> Train loss = 0.0100 Train Accuracy = 48.3860 
------> epoch: 1204 --> Test loss = 0.0060 Test Accuracy = 81.1500 
epoch: 1205 --> Train loss = 0.0102 Train Accuracy = 49.4920 
------> epoch: 1205 --> Test loss = 0.0059 Test Accuracy = 81.2400 
epoch: 1206 --> Train loss = 0.0100 Train Accuracy = 51.2540 
------> epoch: 1206 --> Test loss = 0.0059 Test Accuracy = 81.2000 
epoch: 1207 --> Train loss = 0.0098 Train Accuracy = 45.8660 
------> epoch: 1207 --> Test loss = 0.0060 Test Accuracy = 80.8900 
epoch: 1208 --> Train loss = 0.0101 Train Accuracy = 51.0600 
------> epoch: 1208 --> Test loss = 0.0060 Test Accuracy = 81.0300 
epoch: 1209 --> Train loss = 0.0099 Train Accuracy = 45.7220 
------> epoch: 1209 --> Test loss = 0.0061 Test Accuracy = 80.5300 
epoch: 1210 --> Train loss = 0.0102 Train Accuracy = 49.7500 
------> epoch: 1210 --> Test loss = 0.0059 Test Accuracy = 81.3000 
epoch: 1211 --> Train loss = 0.0100 Train Accuracy = 51.7460 
------> epoch: 1211 --> Test loss = 0.0062 Test Accuracy = 80.5200 
epoch: 1212 --> Train loss = 0.0100 Train Accuracy = 49.8060 
------> epoch: 1212 --> Test loss = 0.0059 Test Accuracy = 81.5500 
epoch: 1213 --> Train loss = 0.0100 Train Accuracy = 50.6780 
------> epoch: 1213 --> Test loss = 0.0060 Test Accuracy = 80.9300 
epoch: 1214 --> Train loss = 0.0101 Train Accuracy = 53.8640 
------> epoch: 1214 --> Test loss = 0.0061 Test Accuracy = 80.8500 
epoch: 1215 --> Train loss = 0.0101 Train Accuracy = 50.9560 
------> epoch: 1215 --> Test loss = 0.0059 Test Accuracy = 80.8800 
epoch: 1216 --> Train loss = 0.0101 Train Accuracy = 46.6040 
------> epoch: 1216 --> Test loss = 0.0061 Test Accuracy = 80.4100 
epoch: 1217 --> Train loss = 0.0102 Train Accuracy = 48.7280 
------> epoch: 1217 --> Test loss = 0.0060 Test Accuracy = 80.8400 
epoch: 1218 --> Train loss = 0.0101 Train Accuracy = 46.2760 
------> epoch: 1218 --> Test loss = 0.0063 Test Accuracy = 80.3800 
epoch: 1219 --> Train loss = 0.0100 Train Accuracy = 48.8240 
------> epoch: 1219 --> Test loss = 0.0061 Test Accuracy = 80.9200 
epoch: 1220 --> Train loss = 0.0100 Train Accuracy = 48.2000 
------> epoch: 1220 --> Test loss = 0.0060 Test Accuracy = 81.0000 
epoch: 1221 --> Train loss = 0.0101 Train Accuracy = 48.5000 
------> epoch: 1221 --> Test loss = 0.0060 Test Accuracy = 80.9000 
epoch: 1222 --> Train loss = 0.0102 Train Accuracy = 48.1260 
------> epoch: 1222 --> Test loss = 0.0061 Test Accuracy = 80.9500 
epoch: 1223 --> Train loss = 0.0101 Train Accuracy = 52.3520 
------> epoch: 1223 --> Test loss = 0.0060 Test Accuracy = 81.6100 
Saving..
epoch: 1224 --> Train loss = 0.0101 Train Accuracy = 48.2880 
------> epoch: 1224 --> Test loss = 0.0059 Test Accuracy = 81.0500 
epoch: 1225 --> Train loss = 0.0102 Train Accuracy = 48.6740 
------> epoch: 1225 --> Test loss = 0.0065 Test Accuracy = 80.1400 
epoch: 1226 --> Train loss = 0.0100 Train Accuracy = 48.1140 
------> epoch: 1226 --> Test loss = 0.0060 Test Accuracy = 81.1500 
epoch: 1227 --> Train loss = 0.0101 Train Accuracy = 50.8560 
------> epoch: 1227 --> Test loss = 0.0059 Test Accuracy = 81.0600 
epoch: 1228 --> Train loss = 0.0102 Train Accuracy = 50.2100 
------> epoch: 1228 --> Test loss = 0.0060 Test Accuracy = 80.8900 
epoch: 1229 --> Train loss = 0.0100 Train Accuracy = 49.6540 
------> epoch: 1229 --> Test loss = 0.0059 Test Accuracy = 81.3500 
epoch: 1230 --> Train loss = 0.0100 Train Accuracy = 47.1160 
------> epoch: 1230 --> Test loss = 0.0060 Test Accuracy = 80.9300 
epoch: 1231 --> Train loss = 0.0101 Train Accuracy = 51.1720 
------> epoch: 1231 --> Test loss = 0.0059 Test Accuracy = 81.0900 
epoch: 1232 --> Train loss = 0.0102 Train Accuracy = 49.2600 
------> epoch: 1232 --> Test loss = 0.0059 Test Accuracy = 81.3700 
epoch: 1233 --> Train loss = 0.0101 Train Accuracy = 47.3720 
------> epoch: 1233 --> Test loss = 0.0058 Test Accuracy = 81.2000 
epoch: 1234 --> Train loss = 0.0100 Train Accuracy = 49.5940 
------> epoch: 1234 --> Test loss = 0.0059 Test Accuracy = 81.5600 
epoch: 1235 --> Train loss = 0.0101 Train Accuracy = 52.4060 
------> epoch: 1235 --> Test loss = 0.0061 Test Accuracy = 80.6000 
epoch: 1236 --> Train loss = 0.0101 Train Accuracy = 48.4420 
------> epoch: 1236 --> Test loss = 0.0059 Test Accuracy = 81.2400 
epoch: 1237 --> Train loss = 0.0099 Train Accuracy = 49.7880 
------> epoch: 1237 --> Test loss = 0.0060 Test Accuracy = 80.9600 
epoch: 1238 --> Train loss = 0.0102 Train Accuracy = 49.0040 
------> epoch: 1238 --> Test loss = 0.0060 Test Accuracy = 80.8200 
epoch: 1239 --> Train loss = 0.0099 Train Accuracy = 49.4960 
------> epoch: 1239 --> Test loss = 0.0061 Test Accuracy = 80.8900 
epoch: 1240 --> Train loss = 0.0102 Train Accuracy = 50.4740 
------> epoch: 1240 --> Test loss = 0.0060 Test Accuracy = 80.9900 
epoch: 1241 --> Train loss = 0.0100 Train Accuracy = 48.9400 
------> epoch: 1241 --> Test loss = 0.0059 Test Accuracy = 81.2900 
epoch: 1242 --> Train loss = 0.0099 Train Accuracy = 50.0240 
------> epoch: 1242 --> Test loss = 0.0059 Test Accuracy = 81.0900 
epoch: 1243 --> Train loss = 0.0100 Train Accuracy = 51.0340 
------> epoch: 1243 --> Test loss = 0.0062 Test Accuracy = 80.8100 
epoch: 1244 --> Train loss = 0.0101 Train Accuracy = 51.3000 
------> epoch: 1244 --> Test loss = 0.0060 Test Accuracy = 81.3500 
epoch: 1245 --> Train loss = 0.0099 Train Accuracy = 48.5020 
------> epoch: 1245 --> Test loss = 0.0060 Test Accuracy = 81.1600 
epoch: 1246 --> Train loss = 0.0101 Train Accuracy = 51.5700 
------> epoch: 1246 --> Test loss = 0.0060 Test Accuracy = 81.1400 
epoch: 1247 --> Train loss = 0.0101 Train Accuracy = 47.9040 
------> epoch: 1247 --> Test loss = 0.0061 Test Accuracy = 81.0600 
epoch: 1248 --> Train loss = 0.0100 Train Accuracy = 48.2680 
------> epoch: 1248 --> Test loss = 0.0058 Test Accuracy = 81.2400 
epoch: 1249 --> Train loss = 0.0101 Train Accuracy = 48.0760 
------> epoch: 1249 --> Test loss = 0.0059 Test Accuracy = 81.1000 
epoch: 1250 --> Train loss = 0.0101 Train Accuracy = 43.9520 
------> epoch: 1250 --> Test loss = 0.0061 Test Accuracy = 80.8500 
epoch: 1251 --> Train loss = 0.0099 Train Accuracy = 48.9120 
------> epoch: 1251 --> Test loss = 0.0060 Test Accuracy = 80.7600 
epoch: 1252 --> Train loss = 0.0101 Train Accuracy = 47.6320 
------> epoch: 1252 --> Test loss = 0.0059 Test Accuracy = 80.9800 
epoch: 1253 --> Train loss = 0.0099 Train Accuracy = 49.6940 
------> epoch: 1253 --> Test loss = 0.0060 Test Accuracy = 80.9500 
epoch: 1254 --> Train loss = 0.0101 Train Accuracy = 52.6620 
------> epoch: 1254 --> Test loss = 0.0061 Test Accuracy = 80.8900 
epoch: 1255 --> Train loss = 0.0101 Train Accuracy = 49.7180 
------> epoch: 1255 --> Test loss = 0.0061 Test Accuracy = 80.5700 
epoch: 1256 --> Train loss = 0.0100 Train Accuracy = 49.9100 
------> epoch: 1256 --> Test loss = 0.0060 Test Accuracy = 81.2100 
epoch: 1257 --> Train loss = 0.0099 Train Accuracy = 51.8740 
------> epoch: 1257 --> Test loss = 0.0059 Test Accuracy = 81.2300 
epoch: 1258 --> Train loss = 0.0102 Train Accuracy = 50.9160 
------> epoch: 1258 --> Test loss = 0.0059 Test Accuracy = 81.0800 
epoch: 1259 --> Train loss = 0.0099 Train Accuracy = 46.5520 
------> epoch: 1259 --> Test loss = 0.0060 Test Accuracy = 81.1800 
epoch: 1260 --> Train loss = 0.0097 Train Accuracy = 48.4320 
------> epoch: 1260 --> Test loss = 0.0060 Test Accuracy = 81.0300 
epoch: 1261 --> Train loss = 0.0100 Train Accuracy = 44.7960 
------> epoch: 1261 --> Test loss = 0.0059 Test Accuracy = 81.3300 
epoch: 1262 --> Train loss = 0.0100 Train Accuracy = 46.3360 
------> epoch: 1262 --> Test loss = 0.0059 Test Accuracy = 81.3300 
epoch: 1263 --> Train loss = 0.0100 Train Accuracy = 52.2860 
------> epoch: 1263 --> Test loss = 0.0059 Test Accuracy = 81.1900 
epoch: 1264 --> Train loss = 0.0100 Train Accuracy = 47.4660 
------> epoch: 1264 --> Test loss = 0.0059 Test Accuracy = 81.1600 
epoch: 1265 --> Train loss = 0.0099 Train Accuracy = 49.7860 
------> epoch: 1265 --> Test loss = 0.0059 Test Accuracy = 81.2700 
epoch: 1266 --> Train loss = 0.0102 Train Accuracy = 47.8820 
------> epoch: 1266 --> Test loss = 0.0059 Test Accuracy = 81.1700 
epoch: 1267 --> Train loss = 0.0100 Train Accuracy = 49.7540 
------> epoch: 1267 --> Test loss = 0.0060 Test Accuracy = 81.6000 
epoch: 1268 --> Train loss = 0.0101 Train Accuracy = 49.0880 
------> epoch: 1268 --> Test loss = 0.0060 Test Accuracy = 80.9300 
epoch: 1269 --> Train loss = 0.0100 Train Accuracy = 50.7140 
------> epoch: 1269 --> Test loss = 0.0060 Test Accuracy = 80.9700 
epoch: 1270 --> Train loss = 0.0101 Train Accuracy = 48.9500 
------> epoch: 1270 --> Test loss = 0.0060 Test Accuracy = 80.8100 
epoch: 1271 --> Train loss = 0.0102 Train Accuracy = 52.2140 
------> epoch: 1271 --> Test loss = 0.0059 Test Accuracy = 81.2700 
epoch: 1272 --> Train loss = 0.0101 Train Accuracy = 46.7880 
------> epoch: 1272 --> Test loss = 0.0060 Test Accuracy = 81.2600 
epoch: 1273 --> Train loss = 0.0099 Train Accuracy = 50.4140 
------> epoch: 1273 --> Test loss = 0.0062 Test Accuracy = 80.4500 
epoch: 1274 --> Train loss = 0.0101 Train Accuracy = 45.3940 
------> epoch: 1274 --> Test loss = 0.0061 Test Accuracy = 80.6200 
epoch: 1275 --> Train loss = 0.0101 Train Accuracy = 50.7320 
------> epoch: 1275 --> Test loss = 0.0059 Test Accuracy = 81.2300 
epoch: 1276 --> Train loss = 0.0100 Train Accuracy = 48.2140 
------> epoch: 1276 --> Test loss = 0.0060 Test Accuracy = 80.9800 
epoch: 1277 --> Train loss = 0.0098 Train Accuracy = 50.3740 
------> epoch: 1277 --> Test loss = 0.0061 Test Accuracy = 80.7700 
epoch: 1278 --> Train loss = 0.0100 Train Accuracy = 50.1480 
------> epoch: 1278 --> Test loss = 0.0059 Test Accuracy = 81.4000 
epoch: 1279 --> Train loss = 0.0102 Train Accuracy = 49.5140 
------> epoch: 1279 --> Test loss = 0.0060 Test Accuracy = 80.9200 
epoch: 1280 --> Train loss = 0.0101 Train Accuracy = 51.0920 
------> epoch: 1280 --> Test loss = 0.0059 Test Accuracy = 81.2100 
epoch: 1281 --> Train loss = 0.0101 Train Accuracy = 50.8120 
------> epoch: 1281 --> Test loss = 0.0059 Test Accuracy = 81.0700 
epoch: 1282 --> Train loss = 0.0100 Train Accuracy = 48.1700 
------> epoch: 1282 --> Test loss = 0.0059 Test Accuracy = 81.1100 
epoch: 1283 --> Train loss = 0.0101 Train Accuracy = 48.1980 
------> epoch: 1283 --> Test loss = 0.0061 Test Accuracy = 80.8800 
epoch: 1284 --> Train loss = 0.0100 Train Accuracy = 51.2920 
------> epoch: 1284 --> Test loss = 0.0061 Test Accuracy = 81.0100 
epoch: 1285 --> Train loss = 0.0099 Train Accuracy = 47.7040 
------> epoch: 1285 --> Test loss = 0.0059 Test Accuracy = 81.1600 
epoch: 1286 --> Train loss = 0.0101 Train Accuracy = 52.3260 
------> epoch: 1286 --> Test loss = 0.0059 Test Accuracy = 81.0500 
epoch: 1287 --> Train loss = 0.0096 Train Accuracy = 49.3960 
------> epoch: 1287 --> Test loss = 0.0060 Test Accuracy = 81.0700 
epoch: 1288 --> Train loss = 0.0098 Train Accuracy = 48.7340 
------> epoch: 1288 --> Test loss = 0.0059 Test Accuracy = 81.0000 
epoch: 1289 --> Train loss = 0.0101 Train Accuracy = 44.3800 
------> epoch: 1289 --> Test loss = 0.0060 Test Accuracy = 80.6900 
epoch: 1290 --> Train loss = 0.0100 Train Accuracy = 51.6560 
------> epoch: 1290 --> Test loss = 0.0060 Test Accuracy = 80.8800 
epoch: 1291 --> Train loss = 0.0102 Train Accuracy = 48.7460 
------> epoch: 1291 --> Test loss = 0.0062 Test Accuracy = 80.6900 
epoch: 1292 --> Train loss = 0.0099 Train Accuracy = 48.1540 
------> epoch: 1292 --> Test loss = 0.0059 Test Accuracy = 81.2500 
epoch: 1293 --> Train loss = 0.0103 Train Accuracy = 49.4700 
------> epoch: 1293 --> Test loss = 0.0061 Test Accuracy = 80.5900 
epoch: 1294 --> Train loss = 0.0099 Train Accuracy = 46.2000 
------> epoch: 1294 --> Test loss = 0.0059 Test Accuracy = 81.4300 
epoch: 1295 --> Train loss = 0.0099 Train Accuracy = 52.4200 
------> epoch: 1295 --> Test loss = 0.0061 Test Accuracy = 81.1500 
epoch: 1296 --> Train loss = 0.0101 Train Accuracy = 51.2740 
------> epoch: 1296 --> Test loss = 0.0061 Test Accuracy = 81.1400 
epoch: 1297 --> Train loss = 0.0100 Train Accuracy = 51.6320 
------> epoch: 1297 --> Test loss = 0.0058 Test Accuracy = 81.4100 
epoch: 1298 --> Train loss = 0.0103 Train Accuracy = 49.4580 
------> epoch: 1298 --> Test loss = 0.0059 Test Accuracy = 81.0400 
epoch: 1299 --> Train loss = 0.0098 Train Accuracy = 53.0280 
------> epoch: 1299 --> Test loss = 0.0059 Test Accuracy = 81.4900 
epoch: 1300 --> Train loss = 0.0100 Train Accuracy = 51.2120 
------> epoch: 1300 --> Test loss = 0.0059 Test Accuracy = 81.3200 
epoch: 1301 --> Train loss = 0.0098 Train Accuracy = 49.6300 
------> epoch: 1301 --> Test loss = 0.0060 Test Accuracy = 80.9900 
epoch: 1302 --> Train loss = 0.0099 Train Accuracy = 53.8220 
------> epoch: 1302 --> Test loss = 0.0060 Test Accuracy = 81.3000 
epoch: 1303 --> Train loss = 0.0101 Train Accuracy = 50.0180 
------> epoch: 1303 --> Test loss = 0.0063 Test Accuracy = 80.4500 
epoch: 1304 --> Train loss = 0.0100 Train Accuracy = 50.2640 
------> epoch: 1304 --> Test loss = 0.0059 Test Accuracy = 81.3100 
epoch: 1305 --> Train loss = 0.0099 Train Accuracy = 49.7660 
------> epoch: 1305 --> Test loss = 0.0059 Test Accuracy = 81.6200 
Saving..
epoch: 1306 --> Train loss = 0.0097 Train Accuracy = 46.0060 
------> epoch: 1306 --> Test loss = 0.0060 Test Accuracy = 81.0900 
epoch: 1307 --> Train loss = 0.0101 Train Accuracy = 48.5780 
------> epoch: 1307 --> Test loss = 0.0059 Test Accuracy = 81.1100 
epoch: 1308 --> Train loss = 0.0098 Train Accuracy = 53.5980 
------> epoch: 1308 --> Test loss = 0.0061 Test Accuracy = 80.9000 
epoch: 1309 --> Train loss = 0.0100 Train Accuracy = 48.1340 
------> epoch: 1309 --> Test loss = 0.0060 Test Accuracy = 81.1100 
epoch: 1310 --> Train loss = 0.0101 Train Accuracy = 53.1540 
------> epoch: 1310 --> Test loss = 0.0059 Test Accuracy = 81.4200 
epoch: 1311 --> Train loss = 0.0097 Train Accuracy = 49.0120 
------> epoch: 1311 --> Test loss = 0.0060 Test Accuracy = 80.7300 
epoch: 1312 --> Train loss = 0.0100 Train Accuracy = 48.0560 
------> epoch: 1312 --> Test loss = 0.0060 Test Accuracy = 80.7400 
epoch: 1313 --> Train loss = 0.0099 Train Accuracy = 49.7240 
------> epoch: 1313 --> Test loss = 0.0061 Test Accuracy = 80.7700 
epoch: 1314 --> Train loss = 0.0100 Train Accuracy = 50.5620 
------> epoch: 1314 --> Test loss = 0.0059 Test Accuracy = 80.8800 
epoch: 1315 --> Train loss = 0.0100 Train Accuracy = 50.5840 
------> epoch: 1315 --> Test loss = 0.0059 Test Accuracy = 81.0900 
epoch: 1316 --> Train loss = 0.0101 Train Accuracy = 48.8860 
------> epoch: 1316 --> Test loss = 0.0060 Test Accuracy = 81.1700 
epoch: 1317 --> Train loss = 0.0101 Train Accuracy = 50.4440 
------> epoch: 1317 --> Test loss = 0.0060 Test Accuracy = 81.3100 
epoch: 1318 --> Train loss = 0.0100 Train Accuracy = 49.4200 
------> epoch: 1318 --> Test loss = 0.0059 Test Accuracy = 81.2500 
epoch: 1319 --> Train loss = 0.0100 Train Accuracy = 52.5120 
------> epoch: 1319 --> Test loss = 0.0059 Test Accuracy = 81.3000 
epoch: 1320 --> Train loss = 0.0099 Train Accuracy = 44.6440 
------> epoch: 1320 --> Test loss = 0.0059 Test Accuracy = 81.3100 
epoch: 1321 --> Train loss = 0.0098 Train Accuracy = 47.2860 
------> epoch: 1321 --> Test loss = 0.0060 Test Accuracy = 80.9600 
epoch: 1322 --> Train loss = 0.0101 Train Accuracy = 49.4060 
------> epoch: 1322 --> Test loss = 0.0059 Test Accuracy = 81.2000 
epoch: 1323 --> Train loss = 0.0100 Train Accuracy = 48.2080 
------> epoch: 1323 --> Test loss = 0.0059 Test Accuracy = 81.3100 
epoch: 1324 --> Train loss = 0.0099 Train Accuracy = 48.9820 
------> epoch: 1324 --> Test loss = 0.0059 Test Accuracy = 81.4400 
epoch: 1325 --> Train loss = 0.0101 Train Accuracy = 43.9820 
------> epoch: 1325 --> Test loss = 0.0060 Test Accuracy = 80.9000 
epoch: 1326 --> Train loss = 0.0099 Train Accuracy = 51.1660 
------> epoch: 1326 --> Test loss = 0.0059 Test Accuracy = 81.3100 
epoch: 1327 --> Train loss = 0.0099 Train Accuracy = 50.4040 
------> epoch: 1327 --> Test loss = 0.0059 Test Accuracy = 81.2900 
epoch: 1328 --> Train loss = 0.0101 Train Accuracy = 44.4580 
------> epoch: 1328 --> Test loss = 0.0059 Test Accuracy = 81.4600 
epoch: 1329 --> Train loss = 0.0096 Train Accuracy = 47.8960 
------> epoch: 1329 --> Test loss = 0.0060 Test Accuracy = 81.0400 
epoch: 1330 --> Train loss = 0.0101 Train Accuracy = 50.4220 
------> epoch: 1330 --> Test loss = 0.0061 Test Accuracy = 80.5800 
epoch: 1331 --> Train loss = 0.0099 Train Accuracy = 49.0900 
------> epoch: 1331 --> Test loss = 0.0060 Test Accuracy = 81.0500 
epoch: 1332 --> Train loss = 0.0098 Train Accuracy = 46.9740 
------> epoch: 1332 --> Test loss = 0.0060 Test Accuracy = 81.4400 
epoch: 1333 --> Train loss = 0.0100 Train Accuracy = 46.7440 
------> epoch: 1333 --> Test loss = 0.0059 Test Accuracy = 81.3000 
epoch: 1334 --> Train loss = 0.0101 Train Accuracy = 53.7700 
------> epoch: 1334 --> Test loss = 0.0061 Test Accuracy = 80.8600 
epoch: 1335 --> Train loss = 0.0100 Train Accuracy = 51.2140 
------> epoch: 1335 --> Test loss = 0.0059 Test Accuracy = 81.3100 
epoch: 1336 --> Train loss = 0.0101 Train Accuracy = 55.1320 
------> epoch: 1336 --> Test loss = 0.0060 Test Accuracy = 81.3800 
epoch: 1337 --> Train loss = 0.0102 Train Accuracy = 50.4420 
------> epoch: 1337 --> Test loss = 0.0060 Test Accuracy = 81.2100 
epoch: 1338 --> Train loss = 0.0100 Train Accuracy = 48.2140 
------> epoch: 1338 --> Test loss = 0.0059 Test Accuracy = 81.3900 
epoch: 1339 --> Train loss = 0.0100 Train Accuracy = 49.7160 
------> epoch: 1339 --> Test loss = 0.0059 Test Accuracy = 81.5300 
epoch: 1340 --> Train loss = 0.0099 Train Accuracy = 49.6920 
------> epoch: 1340 --> Test loss = 0.0060 Test Accuracy = 81.0800 
epoch: 1341 --> Train loss = 0.0100 Train Accuracy = 48.2860 
------> epoch: 1341 --> Test loss = 0.0059 Test Accuracy = 81.3800 
epoch: 1342 --> Train loss = 0.0101 Train Accuracy = 50.2140 
------> epoch: 1342 --> Test loss = 0.0059 Test Accuracy = 81.3300 
epoch: 1343 --> Train loss = 0.0099 Train Accuracy = 50.1720 
------> epoch: 1343 --> Test loss = 0.0059 Test Accuracy = 81.0900 
epoch: 1344 --> Train loss = 0.0099 Train Accuracy = 45.6920 
------> epoch: 1344 --> Test loss = 0.0060 Test Accuracy = 81.1900 
epoch: 1345 --> Train loss = 0.0097 Train Accuracy = 47.4880 
------> epoch: 1345 --> Test loss = 0.0059 Test Accuracy = 81.1300 
epoch: 1346 --> Train loss = 0.0098 Train Accuracy = 53.7760 
------> epoch: 1346 --> Test loss = 0.0059 Test Accuracy = 81.4300 
epoch: 1347 --> Train loss = 0.0098 Train Accuracy = 50.4260 
------> epoch: 1347 --> Test loss = 0.0061 Test Accuracy = 80.7000 
epoch: 1348 --> Train loss = 0.0101 Train Accuracy = 49.8040 
------> epoch: 1348 --> Test loss = 0.0061 Test Accuracy = 80.8900 
epoch: 1349 --> Train loss = 0.0101 Train Accuracy = 48.1200 
------> epoch: 1349 --> Test loss = 0.0060 Test Accuracy = 81.0600 
epoch: 1350 --> Train loss = 0.0099 Train Accuracy = 46.8420 
------> epoch: 1350 --> Test loss = 0.0060 Test Accuracy = 80.8800 
epoch: 1351 --> Train loss = 0.0101 Train Accuracy = 48.1400 
------> epoch: 1351 --> Test loss = 0.0059 Test Accuracy = 81.1600 
epoch: 1352 --> Train loss = 0.0101 Train Accuracy = 48.7200 
------> epoch: 1352 --> Test loss = 0.0060 Test Accuracy = 81.4800 
epoch: 1353 --> Train loss = 0.0098 Train Accuracy = 51.9180 
------> epoch: 1353 --> Test loss = 0.0060 Test Accuracy = 80.8800 
epoch: 1354 --> Train loss = 0.0099 Train Accuracy = 49.9440 
------> epoch: 1354 --> Test loss = 0.0060 Test Accuracy = 80.7600 
epoch: 1355 --> Train loss = 0.0099 Train Accuracy = 47.7300 
------> epoch: 1355 --> Test loss = 0.0059 Test Accuracy = 81.4500 
epoch: 1356 --> Train loss = 0.0100 Train Accuracy = 51.3400 
------> epoch: 1356 --> Test loss = 0.0060 Test Accuracy = 81.1700 
epoch: 1357 --> Train loss = 0.0099 Train Accuracy = 48.0420 
------> epoch: 1357 --> Test loss = 0.0060 Test Accuracy = 81.4200 
epoch: 1358 --> Train loss = 0.0099 Train Accuracy = 51.6960 
------> epoch: 1358 --> Test loss = 0.0060 Test Accuracy = 81.1300 
epoch: 1359 --> Train loss = 0.0100 Train Accuracy = 45.7420 
------> epoch: 1359 --> Test loss = 0.0061 Test Accuracy = 81.5400 
epoch: 1360 --> Train loss = 0.0099 Train Accuracy = 51.7360 
------> epoch: 1360 --> Test loss = 0.0060 Test Accuracy = 80.8600 
epoch: 1361 --> Train loss = 0.0098 Train Accuracy = 53.6120 
------> epoch: 1361 --> Test loss = 0.0061 Test Accuracy = 80.9800 
epoch: 1362 --> Train loss = 0.0101 Train Accuracy = 51.3800 
------> epoch: 1362 --> Test loss = 0.0060 Test Accuracy = 81.3500 
epoch: 1363 --> Train loss = 0.0102 Train Accuracy = 55.9060 
------> epoch: 1363 --> Test loss = 0.0064 Test Accuracy = 80.1900 
epoch: 1364 --> Train loss = 0.0100 Train Accuracy = 50.8080 
------> epoch: 1364 --> Test loss = 0.0060 Test Accuracy = 81.1600 
epoch: 1365 --> Train loss = 0.0099 Train Accuracy = 51.4140 
------> epoch: 1365 --> Test loss = 0.0059 Test Accuracy = 81.2400 
epoch: 1366 --> Train loss = 0.0100 Train Accuracy = 50.9740 
------> epoch: 1366 --> Test loss = 0.0063 Test Accuracy = 80.2300 
epoch: 1367 --> Train loss = 0.0099 Train Accuracy = 50.8560 
------> epoch: 1367 --> Test loss = 0.0061 Test Accuracy = 81.0800 
epoch: 1368 --> Train loss = 0.0101 Train Accuracy = 50.9340 
------> epoch: 1368 --> Test loss = 0.0060 Test Accuracy = 80.9400 
epoch: 1369 --> Train loss = 0.0100 Train Accuracy = 52.0520 
------> epoch: 1369 --> Test loss = 0.0059 Test Accuracy = 81.3300 
epoch: 1370 --> Train loss = 0.0100 Train Accuracy = 51.9840 
------> epoch: 1370 --> Test loss = 0.0059 Test Accuracy = 81.1200 
epoch: 1371 --> Train loss = 0.0100 Train Accuracy = 51.0860 
------> epoch: 1371 --> Test loss = 0.0061 Test Accuracy = 80.6100 
epoch: 1372 --> Train loss = 0.0100 Train Accuracy = 51.6040 
------> epoch: 1372 --> Test loss = 0.0060 Test Accuracy = 81.2500 
epoch: 1373 --> Train loss = 0.0098 Train Accuracy = 50.5180 
------> epoch: 1373 --> Test loss = 0.0060 Test Accuracy = 80.7600 
epoch: 1374 --> Train loss = 0.0099 Train Accuracy = 49.6400 
------> epoch: 1374 --> Test loss = 0.0059 Test Accuracy = 81.3300 
epoch: 1375 --> Train loss = 0.0099 Train Accuracy = 46.2880 
------> epoch: 1375 --> Test loss = 0.0060 Test Accuracy = 80.8800 
epoch: 1376 --> Train loss = 0.0101 Train Accuracy = 46.9260 
------> epoch: 1376 --> Test loss = 0.0061 Test Accuracy = 80.6000 
epoch: 1377 --> Train loss = 0.0099 Train Accuracy = 48.9800 
------> epoch: 1377 --> Test loss = 0.0060 Test Accuracy = 80.7800 
epoch: 1378 --> Train loss = 0.0100 Train Accuracy = 51.0560 
------> epoch: 1378 --> Test loss = 0.0059 Test Accuracy = 81.0700 
epoch: 1379 --> Train loss = 0.0100 Train Accuracy = 49.2480 
------> epoch: 1379 --> Test loss = 0.0060 Test Accuracy = 81.2300 
epoch: 1380 --> Train loss = 0.0099 Train Accuracy = 50.9060 
------> epoch: 1380 --> Test loss = 0.0060 Test Accuracy = 81.0200 
epoch: 1381 --> Train loss = 0.0098 Train Accuracy = 50.2800 
------> epoch: 1381 --> Test loss = 0.0059 Test Accuracy = 80.8800 
epoch: 1382 --> Train loss = 0.0098 Train Accuracy = 52.2940 
------> epoch: 1382 --> Test loss = 0.0059 Test Accuracy = 81.2500 
epoch: 1383 --> Train loss = 0.0098 Train Accuracy = 52.3300 
------> epoch: 1383 --> Test loss = 0.0060 Test Accuracy = 81.3300 
epoch: 1384 --> Train loss = 0.0099 Train Accuracy = 48.5100 
------> epoch: 1384 --> Test loss = 0.0060 Test Accuracy = 80.8300 
epoch: 1385 --> Train loss = 0.0102 Train Accuracy = 53.0360 
------> epoch: 1385 --> Test loss = 0.0059 Test Accuracy = 81.0600 
epoch: 1386 --> Train loss = 0.0099 Train Accuracy = 48.1960 
------> epoch: 1386 --> Test loss = 0.0059 Test Accuracy = 81.2900 
epoch: 1387 --> Train loss = 0.0098 Train Accuracy = 49.3600 
------> epoch: 1387 --> Test loss = 0.0058 Test Accuracy = 81.3900 
epoch: 1388 --> Train loss = 0.0101 Train Accuracy = 47.0060 
------> epoch: 1388 --> Test loss = 0.0059 Test Accuracy = 81.2700 
epoch: 1389 --> Train loss = 0.0100 Train Accuracy = 44.0360 
------> epoch: 1389 --> Test loss = 0.0060 Test Accuracy = 81.2700 
epoch: 1390 --> Train loss = 0.0099 Train Accuracy = 48.7360 
------> epoch: 1390 --> Test loss = 0.0060 Test Accuracy = 80.9300 
epoch: 1391 --> Train loss = 0.0100 Train Accuracy = 50.1140 
------> epoch: 1391 --> Test loss = 0.0059 Test Accuracy = 81.2400 
epoch: 1392 --> Train loss = 0.0100 Train Accuracy = 51.2100 
------> epoch: 1392 --> Test loss = 0.0059 Test Accuracy = 81.2600 
epoch: 1393 --> Train loss = 0.0102 Train Accuracy = 51.4900 
------> epoch: 1393 --> Test loss = 0.0060 Test Accuracy = 80.9700 
epoch: 1394 --> Train loss = 0.0099 Train Accuracy = 46.8700 
------> epoch: 1394 --> Test loss = 0.0059 Test Accuracy = 81.2000 
epoch: 1395 --> Train loss = 0.0098 Train Accuracy = 51.6600 
------> epoch: 1395 --> Test loss = 0.0059 Test Accuracy = 81.2100 
epoch: 1396 --> Train loss = 0.0099 Train Accuracy = 49.2000 
------> epoch: 1396 --> Test loss = 0.0059 Test Accuracy = 81.1100 
epoch: 1397 --> Train loss = 0.0099 Train Accuracy = 50.7160 
------> epoch: 1397 --> Test loss = 0.0060 Test Accuracy = 81.2800 
epoch: 1398 --> Train loss = 0.0100 Train Accuracy = 51.8260 
------> epoch: 1398 --> Test loss = 0.0060 Test Accuracy = 81.4300 
epoch: 1399 --> Train loss = 0.0100 Train Accuracy = 50.0220 
------> epoch: 1399 --> Test loss = 0.0059 Test Accuracy = 81.4500 
epoch: 1400 --> Train loss = 0.0099 Train Accuracy = 50.6100 
------> epoch: 1400 --> Test loss = 0.0061 Test Accuracy = 80.9300 
epoch: 1401 --> Train loss = 0.0098 Train Accuracy = 52.2340 
------> epoch: 1401 --> Test loss = 0.0061 Test Accuracy = 81.4000 
epoch: 1402 --> Train loss = 0.0101 Train Accuracy = 45.6340 
------> epoch: 1402 --> Test loss = 0.0059 Test Accuracy = 81.5500 
epoch: 1403 --> Train loss = 0.0099 Train Accuracy = 49.0280 
------> epoch: 1403 --> Test loss = 0.0060 Test Accuracy = 81.2300 
epoch: 1404 --> Train loss = 0.0099 Train Accuracy = 50.5920 
------> epoch: 1404 --> Test loss = 0.0060 Test Accuracy = 81.3700 
epoch: 1405 --> Train loss = 0.0099 Train Accuracy = 51.4540 
------> epoch: 1405 --> Test loss = 0.0061 Test Accuracy = 80.7900 
epoch: 1406 --> Train loss = 0.0099 Train Accuracy = 51.8420 
------> epoch: 1406 --> Test loss = 0.0059 Test Accuracy = 81.2100 
epoch: 1407 --> Train loss = 0.0099 Train Accuracy = 49.1580 
------> epoch: 1407 --> Test loss = 0.0061 Test Accuracy = 80.6800 
epoch: 1408 --> Train loss = 0.0097 Train Accuracy = 49.0720 
------> epoch: 1408 --> Test loss = 0.0060 Test Accuracy = 81.3400 
epoch: 1409 --> Train loss = 0.0100 Train Accuracy = 47.8620 
------> epoch: 1409 --> Test loss = 0.0059 Test Accuracy = 81.1300 
epoch: 1410 --> Train loss = 0.0099 Train Accuracy = 48.4300 
------> epoch: 1410 --> Test loss = 0.0061 Test Accuracy = 80.6100 
epoch: 1411 --> Train loss = 0.0100 Train Accuracy = 48.4360 
------> epoch: 1411 --> Test loss = 0.0059 Test Accuracy = 80.9900 
epoch: 1412 --> Train loss = 0.0101 Train Accuracy = 50.9820 
------> epoch: 1412 --> Test loss = 0.0058 Test Accuracy = 81.4900 
epoch: 1413 --> Train loss = 0.0098 Train Accuracy = 50.5540 
------> epoch: 1413 --> Test loss = 0.0059 Test Accuracy = 81.3000 
epoch: 1414 --> Train loss = 0.0100 Train Accuracy = 49.4420 
------> epoch: 1414 --> Test loss = 0.0059 Test Accuracy = 81.6300 
Saving..
epoch: 1415 --> Train loss = 0.0100 Train Accuracy = 48.6960 
------> epoch: 1415 --> Test loss = 0.0059 Test Accuracy = 81.3200 
epoch: 1416 --> Train loss = 0.0100 Train Accuracy = 49.9080 
------> epoch: 1416 --> Test loss = 0.0059 Test Accuracy = 81.2800 
epoch: 1417 --> Train loss = 0.0097 Train Accuracy = 52.7980 
------> epoch: 1417 --> Test loss = 0.0060 Test Accuracy = 81.1400 
epoch: 1418 --> Train loss = 0.0099 Train Accuracy = 49.8900 
------> epoch: 1418 --> Test loss = 0.0060 Test Accuracy = 81.2200 
epoch: 1419 --> Train loss = 0.0100 Train Accuracy = 48.2660 
------> epoch: 1419 --> Test loss = 0.0059 Test Accuracy = 81.4100 
epoch: 1420 --> Train loss = 0.0098 Train Accuracy = 47.2760 
------> epoch: 1420 --> Test loss = 0.0059 Test Accuracy = 81.3300 
epoch: 1421 --> Train loss = 0.0101 Train Accuracy = 49.8660 
------> epoch: 1421 --> Test loss = 0.0059 Test Accuracy = 81.4000 
epoch: 1422 --> Train loss = 0.0098 Train Accuracy = 49.7660 
------> epoch: 1422 --> Test loss = 0.0059 Test Accuracy = 80.9800 
epoch: 1423 --> Train loss = 0.0099 Train Accuracy = 50.7180 
------> epoch: 1423 --> Test loss = 0.0059 Test Accuracy = 81.2000 
epoch: 1424 --> Train loss = 0.0099 Train Accuracy = 48.8060 
------> epoch: 1424 --> Test loss = 0.0059 Test Accuracy = 80.9300 
epoch: 1425 --> Train loss = 0.0099 Train Accuracy = 50.3600 
------> epoch: 1425 --> Test loss = 0.0059 Test Accuracy = 81.2200 
epoch: 1426 --> Train loss = 0.0100 Train Accuracy = 49.3120 
------> epoch: 1426 --> Test loss = 0.0059 Test Accuracy = 81.1200 
epoch: 1427 --> Train loss = 0.0100 Train Accuracy = 49.0320 
------> epoch: 1427 --> Test loss = 0.0059 Test Accuracy = 81.4300 
epoch: 1428 --> Train loss = 0.0099 Train Accuracy = 49.8040 
------> epoch: 1428 --> Test loss = 0.0059 Test Accuracy = 81.4100 
epoch: 1429 --> Train loss = 0.0099 Train Accuracy = 53.7680 
------> epoch: 1429 --> Test loss = 0.0059 Test Accuracy = 81.2000 
epoch: 1430 --> Train loss = 0.0097 Train Accuracy = 49.2360 
------> epoch: 1430 --> Test loss = 0.0058 Test Accuracy = 81.2900 
epoch: 1431 --> Train loss = 0.0101 Train Accuracy = 49.8380 
------> epoch: 1431 --> Test loss = 0.0059 Test Accuracy = 81.2200 
epoch: 1432 --> Train loss = 0.0100 Train Accuracy = 45.2260 
------> epoch: 1432 --> Test loss = 0.0059 Test Accuracy = 81.3000 
epoch: 1433 --> Train loss = 0.0100 Train Accuracy = 48.2600 
------> epoch: 1433 --> Test loss = 0.0059 Test Accuracy = 81.3600 
epoch: 1434 --> Train loss = 0.0100 Train Accuracy = 51.4900 
------> epoch: 1434 --> Test loss = 0.0060 Test Accuracy = 81.1000 
epoch: 1435 --> Train loss = 0.0100 Train Accuracy = 50.1900 
------> epoch: 1435 --> Test loss = 0.0060 Test Accuracy = 81.1300 
epoch: 1436 --> Train loss = 0.0100 Train Accuracy = 53.6640 
------> epoch: 1436 --> Test loss = 0.0060 Test Accuracy = 81.4400 
epoch: 1437 --> Train loss = 0.0098 Train Accuracy = 48.6820 
------> epoch: 1437 --> Test loss = 0.0059 Test Accuracy = 81.2300 
epoch: 1438 --> Train loss = 0.0098 Train Accuracy = 49.7560 
------> epoch: 1438 --> Test loss = 0.0060 Test Accuracy = 80.8500 
epoch: 1439 --> Train loss = 0.0097 Train Accuracy = 49.3460 
------> epoch: 1439 --> Test loss = 0.0060 Test Accuracy = 81.1100 
epoch: 1440 --> Train loss = 0.0102 Train Accuracy = 48.7280 
------> epoch: 1440 --> Test loss = 0.0059 Test Accuracy = 81.3200 
epoch: 1441 --> Train loss = 0.0098 Train Accuracy = 47.6980 
------> epoch: 1441 --> Test loss = 0.0059 Test Accuracy = 81.1100 
epoch: 1442 --> Train loss = 0.0099 Train Accuracy = 51.4200 
------> epoch: 1442 --> Test loss = 0.0060 Test Accuracy = 80.9600 
epoch: 1443 --> Train loss = 0.0097 Train Accuracy = 50.8100 
------> epoch: 1443 --> Test loss = 0.0059 Test Accuracy = 81.1700 
epoch: 1444 --> Train loss = 0.0098 Train Accuracy = 48.1080 
------> epoch: 1444 --> Test loss = 0.0059 Test Accuracy = 80.9800 
epoch: 1445 --> Train loss = 0.0101 Train Accuracy = 49.2020 
------> epoch: 1445 --> Test loss = 0.0059 Test Accuracy = 80.9400 
epoch: 1446 --> Train loss = 0.0099 Train Accuracy = 47.6280 
------> epoch: 1446 --> Test loss = 0.0060 Test Accuracy = 81.2000 
epoch: 1447 --> Train loss = 0.0099 Train Accuracy = 46.4240 
------> epoch: 1447 --> Test loss = 0.0059 Test Accuracy = 81.2000 
epoch: 1448 --> Train loss = 0.0100 Train Accuracy = 51.7300 
------> epoch: 1448 --> Test loss = 0.0059 Test Accuracy = 80.9800 
epoch: 1449 --> Train loss = 0.0098 Train Accuracy = 49.5880 
------> epoch: 1449 --> Test loss = 0.0059 Test Accuracy = 81.2900 
epoch: 1450 --> Train loss = 0.0100 Train Accuracy = 50.2140 
------> epoch: 1450 --> Test loss = 0.0059 Test Accuracy = 81.0200 
epoch: 1451 --> Train loss = 0.0100 Train Accuracy = 49.4100 
------> epoch: 1451 --> Test loss = 0.0060 Test Accuracy = 81.1000 
epoch: 1452 --> Train loss = 0.0101 Train Accuracy = 51.3200 
------> epoch: 1452 --> Test loss = 0.0060 Test Accuracy = 81.3200 
epoch: 1453 --> Train loss = 0.0100 Train Accuracy = 45.4920 
------> epoch: 1453 --> Test loss = 0.0060 Test Accuracy = 80.8400 
epoch: 1454 --> Train loss = 0.0098 Train Accuracy = 47.5640 
------> epoch: 1454 --> Test loss = 0.0059 Test Accuracy = 81.0900 
epoch: 1455 --> Train loss = 0.0100 Train Accuracy = 45.4580 
------> epoch: 1455 --> Test loss = 0.0059 Test Accuracy = 81.1000 
epoch: 1456 --> Train loss = 0.0099 Train Accuracy = 48.5440 
------> epoch: 1456 --> Test loss = 0.0061 Test Accuracy = 80.7700 
epoch: 1457 --> Train loss = 0.0100 Train Accuracy = 51.3300 
------> epoch: 1457 --> Test loss = 0.0060 Test Accuracy = 80.8300 
epoch: 1458 --> Train loss = 0.0100 Train Accuracy = 50.4700 
------> epoch: 1458 --> Test loss = 0.0059 Test Accuracy = 81.3000 
epoch: 1459 --> Train loss = 0.0099 Train Accuracy = 49.5640 
------> epoch: 1459 --> Test loss = 0.0059 Test Accuracy = 80.9200 
epoch: 1460 --> Train loss = 0.0099 Train Accuracy = 47.6040 
------> epoch: 1460 --> Test loss = 0.0060 Test Accuracy = 80.6600 
epoch: 1461 --> Train loss = 0.0101 Train Accuracy = 47.6600 
------> epoch: 1461 --> Test loss = 0.0058 Test Accuracy = 81.0900 
epoch: 1462 --> Train loss = 0.0098 Train Accuracy = 49.9180 
------> epoch: 1462 --> Test loss = 0.0059 Test Accuracy = 81.1600 
epoch: 1463 --> Train loss = 0.0098 Train Accuracy = 50.1740 
------> epoch: 1463 --> Test loss = 0.0060 Test Accuracy = 81.2100 
epoch: 1464 --> Train loss = 0.0100 Train Accuracy = 48.4320 
------> epoch: 1464 --> Test loss = 0.0059 Test Accuracy = 81.3200 
epoch: 1465 --> Train loss = 0.0099 Train Accuracy = 47.9040 
------> epoch: 1465 --> Test loss = 0.0059 Test Accuracy = 81.0700 
epoch: 1466 --> Train loss = 0.0100 Train Accuracy = 50.8120 
------> epoch: 1466 --> Test loss = 0.0059 Test Accuracy = 81.0800 
epoch: 1467 --> Train loss = 0.0100 Train Accuracy = 49.0660 
------> epoch: 1467 --> Test loss = 0.0060 Test Accuracy = 81.3800 
epoch: 1468 --> Train loss = 0.0100 Train Accuracy = 48.4300 
------> epoch: 1468 --> Test loss = 0.0059 Test Accuracy = 81.1500 
epoch: 1469 --> Train loss = 0.0098 Train Accuracy = 49.9180 
------> epoch: 1469 --> Test loss = 0.0060 Test Accuracy = 80.9400 
epoch: 1470 --> Train loss = 0.0100 Train Accuracy = 47.1480 
------> epoch: 1470 --> Test loss = 0.0060 Test Accuracy = 81.0400 
epoch: 1471 --> Train loss = 0.0102 Train Accuracy = 48.8980 
------> epoch: 1471 --> Test loss = 0.0060 Test Accuracy = 80.7800 
epoch: 1472 --> Train loss = 0.0098 Train Accuracy = 50.2180 
------> epoch: 1472 --> Test loss = 0.0059 Test Accuracy = 81.1100 
epoch: 1473 --> Train loss = 0.0099 Train Accuracy = 53.2200 
------> epoch: 1473 --> Test loss = 0.0059 Test Accuracy = 81.2300 
epoch: 1474 --> Train loss = 0.0100 Train Accuracy = 52.5700 
------> epoch: 1474 --> Test loss = 0.0059 Test Accuracy = 81.2700 
epoch: 1475 --> Train loss = 0.0099 Train Accuracy = 49.6520 
------> epoch: 1475 --> Test loss = 0.0061 Test Accuracy = 80.7100 
epoch: 1476 --> Train loss = 0.0100 Train Accuracy = 49.4780 
------> epoch: 1476 --> Test loss = 0.0060 Test Accuracy = 80.9900 
epoch: 1477 --> Train loss = 0.0099 Train Accuracy = 49.3280 
------> epoch: 1477 --> Test loss = 0.0059 Test Accuracy = 81.0300 
epoch: 1478 --> Train loss = 0.0098 Train Accuracy = 50.9740 
------> epoch: 1478 --> Test loss = 0.0059 Test Accuracy = 81.4400 
epoch: 1479 --> Train loss = 0.0099 Train Accuracy = 49.7520 
------> epoch: 1479 --> Test loss = 0.0060 Test Accuracy = 80.9200 
epoch: 1480 --> Train loss = 0.0098 Train Accuracy = 49.9080 
------> epoch: 1480 --> Test loss = 0.0061 Test Accuracy = 81.6400 
Saving..
epoch: 1481 --> Train loss = 0.0098 Train Accuracy = 47.6240 
------> epoch: 1481 --> Test loss = 0.0059 Test Accuracy = 81.1100 
epoch: 1482 --> Train loss = 0.0100 Train Accuracy = 47.0440 
------> epoch: 1482 --> Test loss = 0.0059 Test Accuracy = 81.1300 
epoch: 1483 --> Train loss = 0.0099 Train Accuracy = 49.9500 
------> epoch: 1483 --> Test loss = 0.0060 Test Accuracy = 81.5600 
epoch: 1484 --> Train loss = 0.0100 Train Accuracy = 49.0680 
------> epoch: 1484 --> Test loss = 0.0060 Test Accuracy = 81.4800 
epoch: 1485 --> Train loss = 0.0100 Train Accuracy = 48.1760 
------> epoch: 1485 --> Test loss = 0.0059 Test Accuracy = 81.1300 
epoch: 1486 --> Train loss = 0.0099 Train Accuracy = 51.7300 
------> epoch: 1486 --> Test loss = 0.0059 Test Accuracy = 81.2100 
epoch: 1487 --> Train loss = 0.0099 Train Accuracy = 49.4400 
------> epoch: 1487 --> Test loss = 0.0060 Test Accuracy = 81.0700 
epoch: 1488 --> Train loss = 0.0100 Train Accuracy = 53.4140 
------> epoch: 1488 --> Test loss = 0.0059 Test Accuracy = 81.2400 
epoch: 1489 --> Train loss = 0.0101 Train Accuracy = 49.4400 
------> epoch: 1489 --> Test loss = 0.0060 Test Accuracy = 80.7600 
epoch: 1490 --> Train loss = 0.0098 Train Accuracy = 53.1460 
------> epoch: 1490 --> Test loss = 0.0060 Test Accuracy = 81.5000 
epoch: 1491 --> Train loss = 0.0099 Train Accuracy = 46.1800 
------> epoch: 1491 --> Test loss = 0.0060 Test Accuracy = 81.4500 
epoch: 1492 --> Train loss = 0.0100 Train Accuracy = 48.7600 
------> epoch: 1492 --> Test loss = 0.0059 Test Accuracy = 81.1100 
epoch: 1493 --> Train loss = 0.0097 Train Accuracy = 47.2880 
------> epoch: 1493 --> Test loss = 0.0062 Test Accuracy = 80.7500 
epoch: 1494 --> Train loss = 0.0099 Train Accuracy = 49.3300 
------> epoch: 1494 --> Test loss = 0.0060 Test Accuracy = 81.1000 
epoch: 1495 --> Train loss = 0.0097 Train Accuracy = 53.0340 
------> epoch: 1495 --> Test loss = 0.0060 Test Accuracy = 81.1900 
epoch: 1496 --> Train loss = 0.0099 Train Accuracy = 48.7380 
------> epoch: 1496 --> Test loss = 0.0059 Test Accuracy = 81.1000 
epoch: 1497 --> Train loss = 0.0099 Train Accuracy = 48.5420 
------> epoch: 1497 --> Test loss = 0.0059 Test Accuracy = 81.1900 
epoch: 1498 --> Train loss = 0.0098 Train Accuracy = 49.7220 
------> epoch: 1498 --> Test loss = 0.0060 Test Accuracy = 81.5500 
epoch: 1499 --> Train loss = 0.0101 Train Accuracy = 52.1680 
------> epoch: 1499 --> Test loss = 0.0060 Test Accuracy = 81.1100 
epoch: 1500 --> Train loss = 0.0099 Train Accuracy = 46.6460 
------> epoch: 1500 --> Test loss = 0.0060 Test Accuracy = 81.1500 
epoch: 1501 --> Train loss = 0.0097 Train Accuracy = 50.1480 
------> epoch: 1501 --> Test loss = 0.0061 Test Accuracy = 81.0300 
epoch: 1502 --> Train loss = 0.0099 Train Accuracy = 50.9180 
------> epoch: 1502 --> Test loss = 0.0061 Test Accuracy = 80.8500 
epoch: 1503 --> Train loss = 0.0099 Train Accuracy = 52.1160 
------> epoch: 1503 --> Test loss = 0.0059 Test Accuracy = 81.2100 
epoch: 1504 --> Train loss = 0.0100 Train Accuracy = 49.8320 
------> epoch: 1504 --> Test loss = 0.0060 Test Accuracy = 81.1600 
epoch: 1505 --> Train loss = 0.0099 Train Accuracy = 49.5180 
------> epoch: 1505 --> Test loss = 0.0059 Test Accuracy = 81.3400 
epoch: 1506 --> Train loss = 0.0098 Train Accuracy = 49.0720 
------> epoch: 1506 --> Test loss = 0.0060 Test Accuracy = 80.9700 
epoch: 1507 --> Train loss = 0.0099 Train Accuracy = 51.3720 
------> epoch: 1507 --> Test loss = 0.0059 Test Accuracy = 81.3000 
epoch: 1508 --> Train loss = 0.0100 Train Accuracy = 47.2660 
------> epoch: 1508 --> Test loss = 0.0060 Test Accuracy = 81.1400 
epoch: 1509 --> Train loss = 0.0097 Train Accuracy = 50.6160 
------> epoch: 1509 --> Test loss = 0.0060 Test Accuracy = 80.9500 
epoch: 1510 --> Train loss = 0.0098 Train Accuracy = 44.7960 
------> epoch: 1510 --> Test loss = 0.0059 Test Accuracy = 81.6300 
epoch: 1511 --> Train loss = 0.0098 Train Accuracy = 49.9440 
------> epoch: 1511 --> Test loss = 0.0060 Test Accuracy = 81.0400 
epoch: 1512 --> Train loss = 0.0098 Train Accuracy = 48.1220 
------> epoch: 1512 --> Test loss = 0.0059 Test Accuracy = 81.5200 
epoch: 1513 --> Train loss = 0.0096 Train Accuracy = 51.5020 
------> epoch: 1513 --> Test loss = 0.0059 Test Accuracy = 81.2500 
epoch: 1514 --> Train loss = 0.0098 Train Accuracy = 52.8040 
------> epoch: 1514 --> Test loss = 0.0059 Test Accuracy = 81.2000 
epoch: 1515 --> Train loss = 0.0099 Train Accuracy = 48.4100 
------> epoch: 1515 --> Test loss = 0.0061 Test Accuracy = 80.9500 
epoch: 1516 --> Train loss = 0.0099 Train Accuracy = 49.4460 
------> epoch: 1516 --> Test loss = 0.0059 Test Accuracy = 81.0800 
epoch: 1517 --> Train loss = 0.0098 Train Accuracy = 47.6340 
------> epoch: 1517 --> Test loss = 0.0059 Test Accuracy = 81.3200 
epoch: 1518 --> Train loss = 0.0097 Train Accuracy = 51.7520 
------> epoch: 1518 --> Test loss = 0.0059 Test Accuracy = 81.1900 
epoch: 1519 --> Train loss = 0.0097 Train Accuracy = 49.5360 
------> epoch: 1519 --> Test loss = 0.0059 Test Accuracy = 81.5200 
epoch: 1520 --> Train loss = 0.0100 Train Accuracy = 54.2400 
------> epoch: 1520 --> Test loss = 0.0059 Test Accuracy = 81.1900 
epoch: 1521 --> Train loss = 0.0099 Train Accuracy = 45.8540 
------> epoch: 1521 --> Test loss = 0.0059 Test Accuracy = 81.1000 
epoch: 1522 --> Train loss = 0.0099 Train Accuracy = 49.9080 
------> epoch: 1522 --> Test loss = 0.0059 Test Accuracy = 81.6200 
epoch: 1523 --> Train loss = 0.0096 Train Accuracy = 52.4560 
------> epoch: 1523 --> Test loss = 0.0059 Test Accuracy = 81.6800 
Saving..
epoch: 1524 --> Train loss = 0.0097 Train Accuracy = 50.5300 
------> epoch: 1524 --> Test loss = 0.0059 Test Accuracy = 81.3900 
epoch: 1525 --> Train loss = 0.0099 Train Accuracy = 51.1280 
------> epoch: 1525 --> Test loss = 0.0060 Test Accuracy = 80.9900 
epoch: 1526 --> Train loss = 0.0100 Train Accuracy = 53.3140 
------> epoch: 1526 --> Test loss = 0.0060 Test Accuracy = 80.9000 
epoch: 1527 --> Train loss = 0.0097 Train Accuracy = 50.1420 
------> epoch: 1527 --> Test loss = 0.0059 Test Accuracy = 81.5700 
epoch: 1528 --> Train loss = 0.0096 Train Accuracy = 47.7820 
------> epoch: 1528 --> Test loss = 0.0060 Test Accuracy = 81.3500 
epoch: 1529 --> Train loss = 0.0097 Train Accuracy = 51.3140 
------> epoch: 1529 --> Test loss = 0.0060 Test Accuracy = 81.0400 
epoch: 1530 --> Train loss = 0.0098 Train Accuracy = 51.3960 
------> epoch: 1530 --> Test loss = 0.0059 Test Accuracy = 81.4800 
epoch: 1531 --> Train loss = 0.0098 Train Accuracy = 50.5180 
------> epoch: 1531 --> Test loss = 0.0060 Test Accuracy = 81.1800 
epoch: 1532 --> Train loss = 0.0096 Train Accuracy = 50.1740 
------> epoch: 1532 --> Test loss = 0.0059 Test Accuracy = 81.4400 
epoch: 1533 --> Train loss = 0.0097 Train Accuracy = 47.2740 
------> epoch: 1533 --> Test loss = 0.0059 Test Accuracy = 81.1000 
epoch: 1534 --> Train loss = 0.0097 Train Accuracy = 50.2500 
------> epoch: 1534 --> Test loss = 0.0065 Test Accuracy = 80.4700 
epoch: 1535 --> Train loss = 0.0097 Train Accuracy = 52.3680 
------> epoch: 1535 --> Test loss = 0.0058 Test Accuracy = 81.4100 
epoch: 1536 --> Train loss = 0.0097 Train Accuracy = 53.7760 
------> epoch: 1536 --> Test loss = 0.0060 Test Accuracy = 81.1100 
epoch: 1537 --> Train loss = 0.0096 Train Accuracy = 51.7640 
------> epoch: 1537 --> Test loss = 0.0060 Test Accuracy = 81.0100 
epoch: 1538 --> Train loss = 0.0098 Train Accuracy = 49.7560 
------> epoch: 1538 --> Test loss = 0.0058 Test Accuracy = 81.4400 
epoch: 1539 --> Train loss = 0.0100 Train Accuracy = 47.6020 
------> epoch: 1539 --> Test loss = 0.0059 Test Accuracy = 81.5600 
epoch: 1540 --> Train loss = 0.0097 Train Accuracy = 47.1360 
------> epoch: 1540 --> Test loss = 0.0059 Test Accuracy = 81.4300 
epoch: 1541 --> Train loss = 0.0098 Train Accuracy = 53.6900 
------> epoch: 1541 --> Test loss = 0.0059 Test Accuracy = 81.4200 
epoch: 1542 --> Train loss = 0.0101 Train Accuracy = 50.2860 
------> epoch: 1542 --> Test loss = 0.0060 Test Accuracy = 81.1100 
epoch: 1543 --> Train loss = 0.0097 Train Accuracy = 49.7320 
------> epoch: 1543 --> Test loss = 0.0058 Test Accuracy = 81.4800 
epoch: 1544 --> Train loss = 0.0099 Train Accuracy = 49.3360 
------> epoch: 1544 --> Test loss = 0.0060 Test Accuracy = 81.0900 
epoch: 1545 --> Train loss = 0.0099 Train Accuracy = 47.3760 
------> epoch: 1545 --> Test loss = 0.0058 Test Accuracy = 81.3800 
epoch: 1546 --> Train loss = 0.0099 Train Accuracy = 48.6680 
------> epoch: 1546 --> Test loss = 0.0059 Test Accuracy = 81.1700 
epoch: 1547 --> Train loss = 0.0098 Train Accuracy = 47.9580 
------> epoch: 1547 --> Test loss = 0.0058 Test Accuracy = 81.4800 
epoch: 1548 --> Train loss = 0.0097 Train Accuracy = 45.6480 
------> epoch: 1548 --> Test loss = 0.0058 Test Accuracy = 81.4900 
epoch: 1549 --> Train loss = 0.0099 Train Accuracy = 47.7640 
------> epoch: 1549 --> Test loss = 0.0059 Test Accuracy = 81.2600 
epoch: 1550 --> Train loss = 0.0097 Train Accuracy = 50.7900 
------> epoch: 1550 --> Test loss = 0.0058 Test Accuracy = 81.5200 
epoch: 1551 --> Train loss = 0.0100 Train Accuracy = 49.5200 
------> epoch: 1551 --> Test loss = 0.0062 Test Accuracy = 80.7300 
epoch: 1552 --> Train loss = 0.0099 Train Accuracy = 46.4380 
------> epoch: 1552 --> Test loss = 0.0058 Test Accuracy = 81.4600 
epoch: 1553 --> Train loss = 0.0099 Train Accuracy = 51.2980 
------> epoch: 1553 --> Test loss = 0.0059 Test Accuracy = 81.2000 
epoch: 1554 --> Train loss = 0.0098 Train Accuracy = 49.7220 
------> epoch: 1554 --> Test loss = 0.0059 Test Accuracy = 81.3200 
epoch: 1555 --> Train loss = 0.0099 Train Accuracy = 49.5860 
------> epoch: 1555 --> Test loss = 0.0059 Test Accuracy = 81.4600 
epoch: 1556 --> Train loss = 0.0097 Train Accuracy = 50.2500 
------> epoch: 1556 --> Test loss = 0.0058 Test Accuracy = 81.6500 
epoch: 1557 --> Train loss = 0.0098 Train Accuracy = 51.8400 
------> epoch: 1557 --> Test loss = 0.0059 Test Accuracy = 81.5000 
epoch: 1558 --> Train loss = 0.0098 Train Accuracy = 46.3200 
------> epoch: 1558 --> Test loss = 0.0059 Test Accuracy = 81.3600 
epoch: 1559 --> Train loss = 0.0097 Train Accuracy = 48.6240 
------> epoch: 1559 --> Test loss = 0.0058 Test Accuracy = 81.4100 
epoch: 1560 --> Train loss = 0.0100 Train Accuracy = 50.4280 
------> epoch: 1560 --> Test loss = 0.0058 Test Accuracy = 81.4700 
epoch: 1561 --> Train loss = 0.0097 Train Accuracy = 51.1780 
------> epoch: 1561 --> Test loss = 0.0061 Test Accuracy = 81.1900 
epoch: 1562 --> Train loss = 0.0098 Train Accuracy = 49.9140 
------> epoch: 1562 --> Test loss = 0.0059 Test Accuracy = 81.4600 
epoch: 1563 --> Train loss = 0.0100 Train Accuracy = 49.9140 
------> epoch: 1563 --> Test loss = 0.0058 Test Accuracy = 81.5200 
epoch: 1564 --> Train loss = 0.0098 Train Accuracy = 51.7420 
------> epoch: 1564 --> Test loss = 0.0059 Test Accuracy = 81.3900 
epoch: 1565 --> Train loss = 0.0097 Train Accuracy = 45.7760 
------> epoch: 1565 --> Test loss = 0.0059 Test Accuracy = 81.3500 
epoch: 1566 --> Train loss = 0.0099 Train Accuracy = 54.7220 
------> epoch: 1566 --> Test loss = 0.0058 Test Accuracy = 81.4700 
epoch: 1567 --> Train loss = 0.0097 Train Accuracy = 48.1020 
------> epoch: 1567 --> Test loss = 0.0061 Test Accuracy = 80.9700 
epoch: 1568 --> Train loss = 0.0098 Train Accuracy = 51.0540 
------> epoch: 1568 --> Test loss = 0.0059 Test Accuracy = 81.4100 
epoch: 1569 --> Train loss = 0.0099 Train Accuracy = 52.8920 
------> epoch: 1569 --> Test loss = 0.0059 Test Accuracy = 81.3800 
epoch: 1570 --> Train loss = 0.0097 Train Accuracy = 47.4100 
------> epoch: 1570 --> Test loss = 0.0058 Test Accuracy = 81.4200 
epoch: 1571 --> Train loss = 0.0096 Train Accuracy = 49.0720 
------> epoch: 1571 --> Test loss = 0.0058 Test Accuracy = 81.3300 
epoch: 1572 --> Train loss = 0.0097 Train Accuracy = 53.3600 
------> epoch: 1572 --> Test loss = 0.0058 Test Accuracy = 81.3200 
epoch: 1573 --> Train loss = 0.0098 Train Accuracy = 52.6060 
------> epoch: 1573 --> Test loss = 0.0060 Test Accuracy = 81.2100 
epoch: 1574 --> Train loss = 0.0098 Train Accuracy = 48.0020 
------> epoch: 1574 --> Test loss = 0.0059 Test Accuracy = 81.7000 
Saving..
epoch: 1575 --> Train loss = 0.0098 Train Accuracy = 51.3360 
------> epoch: 1575 --> Test loss = 0.0058 Test Accuracy = 81.3200 
epoch: 1576 --> Train loss = 0.0099 Train Accuracy = 45.3060 
------> epoch: 1576 --> Test loss = 0.0060 Test Accuracy = 81.5500 
epoch: 1577 --> Train loss = 0.0097 Train Accuracy = 53.1520 
------> epoch: 1577 --> Test loss = 0.0059 Test Accuracy = 81.4400 
epoch: 1578 --> Train loss = 0.0097 Train Accuracy = 51.8140 
------> epoch: 1578 --> Test loss = 0.0059 Test Accuracy = 81.0000 
epoch: 1579 --> Train loss = 0.0097 Train Accuracy = 51.3000 
------> epoch: 1579 --> Test loss = 0.0059 Test Accuracy = 81.1600 
epoch: 1580 --> Train loss = 0.0095 Train Accuracy = 50.0560 
------> epoch: 1580 --> Test loss = 0.0059 Test Accuracy = 81.6000 
epoch: 1581 --> Train loss = 0.0098 Train Accuracy = 47.7040 
------> epoch: 1581 --> Test loss = 0.0058 Test Accuracy = 81.7000 
epoch: 1582 --> Train loss = 0.0097 Train Accuracy = 49.6460 
------> epoch: 1582 --> Test loss = 0.0059 Test Accuracy = 81.7000 
epoch: 1583 --> Train loss = 0.0099 Train Accuracy = 51.7820 
------> epoch: 1583 --> Test loss = 0.0059 Test Accuracy = 81.3600 
epoch: 1584 --> Train loss = 0.0097 Train Accuracy = 46.6980 
------> epoch: 1584 --> Test loss = 0.0060 Test Accuracy = 81.2300 
epoch: 1585 --> Train loss = 0.0099 Train Accuracy = 46.5780 
------> epoch: 1585 --> Test loss = 0.0058 Test Accuracy = 81.3400 
epoch: 1586 --> Train loss = 0.0098 Train Accuracy = 47.2400 
------> epoch: 1586 --> Test loss = 0.0058 Test Accuracy = 81.3300 
epoch: 1587 --> Train loss = 0.0097 Train Accuracy = 50.0420 
------> epoch: 1587 --> Test loss = 0.0058 Test Accuracy = 81.4400 
epoch: 1588 --> Train loss = 0.0099 Train Accuracy = 51.0320 
------> epoch: 1588 --> Test loss = 0.0061 Test Accuracy = 80.9700 
epoch: 1589 --> Train loss = 0.0097 Train Accuracy = 49.2460 
------> epoch: 1589 --> Test loss = 0.0059 Test Accuracy = 81.4200 
epoch: 1590 --> Train loss = 0.0097 Train Accuracy = 47.7780 
------> epoch: 1590 --> Test loss = 0.0059 Test Accuracy = 81.3000 
epoch: 1591 --> Train loss = 0.0098 Train Accuracy = 50.9240 
------> epoch: 1591 --> Test loss = 0.0059 Test Accuracy = 81.3700 
epoch: 1592 --> Train loss = 0.0097 Train Accuracy = 53.6700 
------> epoch: 1592 --> Test loss = 0.0060 Test Accuracy = 81.3500 
epoch: 1593 --> Train loss = 0.0097 Train Accuracy = 51.5620 
------> epoch: 1593 --> Test loss = 0.0061 Test Accuracy = 81.1900 
epoch: 1594 --> Train loss = 0.0099 Train Accuracy = 49.6580 
------> epoch: 1594 --> Test loss = 0.0059 Test Accuracy = 81.2100 
epoch: 1595 --> Train loss = 0.0097 Train Accuracy = 45.5480 
------> epoch: 1595 --> Test loss = 0.0059 Test Accuracy = 81.3900 
epoch: 1596 --> Train loss = 0.0097 Train Accuracy = 51.2700 
------> epoch: 1596 --> Test loss = 0.0059 Test Accuracy = 81.5300 
epoch: 1597 --> Train loss = 0.0097 Train Accuracy = 51.4720 
------> epoch: 1597 --> Test loss = 0.0059 Test Accuracy = 81.1300 
epoch: 1598 --> Train loss = 0.0098 Train Accuracy = 48.7160 
------> epoch: 1598 --> Test loss = 0.0059 Test Accuracy = 81.2400 
epoch: 1599 --> Train loss = 0.0098 Train Accuracy = 49.2180 
------> epoch: 1599 --> Test loss = 0.0059 Test Accuracy = 81.3700 
epoch: 1600 --> Train loss = 0.0096 Train Accuracy = 51.6640 
------> epoch: 1600 --> Test loss = 0.0058 Test Accuracy = 81.5300 
epoch: 1601 --> Train loss = 0.0098 Train Accuracy = 53.2420 
------> epoch: 1601 --> Test loss = 0.0059 Test Accuracy = 81.4500 
epoch: 1602 --> Train loss = 0.0099 Train Accuracy = 57.2000 
------> epoch: 1602 --> Test loss = 0.0059 Test Accuracy = 81.3900 
epoch: 1603 --> Train loss = 0.0097 Train Accuracy = 47.1300 
------> epoch: 1603 --> Test loss = 0.0059 Test Accuracy = 81.7000 
epoch: 1604 --> Train loss = 0.0098 Train Accuracy = 51.4580 
------> epoch: 1604 --> Test loss = 0.0059 Test Accuracy = 81.1900 
epoch: 1605 --> Train loss = 0.0097 Train Accuracy = 49.1980 
------> epoch: 1605 --> Test loss = 0.0059 Test Accuracy = 81.2500 
epoch: 1606 --> Train loss = 0.0098 Train Accuracy = 50.2300 
------> epoch: 1606 --> Test loss = 0.0058 Test Accuracy = 81.5700 
epoch: 1607 --> Train loss = 0.0096 Train Accuracy = 51.8320 
------> epoch: 1607 --> Test loss = 0.0058 Test Accuracy = 81.6800 
epoch: 1608 --> Train loss = 0.0097 Train Accuracy = 48.9660 
------> epoch: 1608 --> Test loss = 0.0058 Test Accuracy = 81.6300 
epoch: 1609 --> Train loss = 0.0098 Train Accuracy = 48.5260 
------> epoch: 1609 --> Test loss = 0.0059 Test Accuracy = 81.5400 
epoch: 1610 --> Train loss = 0.0097 Train Accuracy = 50.5640 
------> epoch: 1610 --> Test loss = 0.0059 Test Accuracy = 81.4800 
epoch: 1611 --> Train loss = 0.0099 Train Accuracy = 48.3140 
------> epoch: 1611 --> Test loss = 0.0058 Test Accuracy = 81.5800 
epoch: 1612 --> Train loss = 0.0098 Train Accuracy = 49.1800 
------> epoch: 1612 --> Test loss = 0.0059 Test Accuracy = 81.2900 
epoch: 1613 --> Train loss = 0.0097 Train Accuracy = 46.3120 
------> epoch: 1613 --> Test loss = 0.0059 Test Accuracy = 81.4700 
epoch: 1614 --> Train loss = 0.0097 Train Accuracy = 50.4740 
------> epoch: 1614 --> Test loss = 0.0058 Test Accuracy = 81.5100 
epoch: 1615 --> Train loss = 0.0097 Train Accuracy = 51.0560 
------> epoch: 1615 --> Test loss = 0.0058 Test Accuracy = 81.1400 
epoch: 1616 --> Train loss = 0.0098 Train Accuracy = 45.1620 
------> epoch: 1616 --> Test loss = 0.0059 Test Accuracy = 81.1400 
epoch: 1617 --> Train loss = 0.0097 Train Accuracy = 49.3640 
------> epoch: 1617 --> Test loss = 0.0059 Test Accuracy = 81.3300 
epoch: 1618 --> Train loss = 0.0097 Train Accuracy = 47.5420 
------> epoch: 1618 --> Test loss = 0.0058 Test Accuracy = 81.5500 
epoch: 1619 --> Train loss = 0.0097 Train Accuracy = 45.6600 
------> epoch: 1619 --> Test loss = 0.0058 Test Accuracy = 81.4700 
epoch: 1620 --> Train loss = 0.0095 Train Accuracy = 49.7800 
------> epoch: 1620 --> Test loss = 0.0059 Test Accuracy = 81.5600 
epoch: 1621 --> Train loss = 0.0098 Train Accuracy = 51.3240 
------> epoch: 1621 --> Test loss = 0.0059 Test Accuracy = 81.5700 
epoch: 1622 --> Train loss = 0.0097 Train Accuracy = 47.4900 
------> epoch: 1622 --> Test loss = 0.0059 Test Accuracy = 81.6300 
epoch: 1623 --> Train loss = 0.0097 Train Accuracy = 50.5380 
------> epoch: 1623 --> Test loss = 0.0058 Test Accuracy = 81.5500 
epoch: 1624 --> Train loss = 0.0095 Train Accuracy = 48.9880 
------> epoch: 1624 --> Test loss = 0.0058 Test Accuracy = 81.4000 
epoch: 1625 --> Train loss = 0.0097 Train Accuracy = 49.8020 
------> epoch: 1625 --> Test loss = 0.0059 Test Accuracy = 81.2600 
epoch: 1626 --> Train loss = 0.0099 Train Accuracy = 51.0880 
------> epoch: 1626 --> Test loss = 0.0063 Test Accuracy = 80.7400 
epoch: 1627 --> Train loss = 0.0099 Train Accuracy = 47.4920 
------> epoch: 1627 --> Test loss = 0.0058 Test Accuracy = 81.5500 
epoch: 1628 --> Train loss = 0.0098 Train Accuracy = 50.8440 
------> epoch: 1628 --> Test loss = 0.0059 Test Accuracy = 81.2100 
epoch: 1629 --> Train loss = 0.0095 Train Accuracy = 52.1460 
------> epoch: 1629 --> Test loss = 0.0058 Test Accuracy = 81.4200 
epoch: 1630 --> Train loss = 0.0098 Train Accuracy = 49.5080 
------> epoch: 1630 --> Test loss = 0.0059 Test Accuracy = 81.3100 
epoch: 1631 --> Train loss = 0.0096 Train Accuracy = 48.7260 
------> epoch: 1631 --> Test loss = 0.0059 Test Accuracy = 81.5400 
epoch: 1632 --> Train loss = 0.0095 Train Accuracy = 49.7080 
------> epoch: 1632 --> Test loss = 0.0058 Test Accuracy = 81.4800 
epoch: 1633 --> Train loss = 0.0098 Train Accuracy = 48.5140 
------> epoch: 1633 --> Test loss = 0.0059 Test Accuracy = 81.2300 
epoch: 1634 --> Train loss = 0.0097 Train Accuracy = 51.9720 
------> epoch: 1634 --> Test loss = 0.0059 Test Accuracy = 81.4100 
epoch: 1635 --> Train loss = 0.0097 Train Accuracy = 51.4380 
------> epoch: 1635 --> Test loss = 0.0058 Test Accuracy = 81.7000 
epoch: 1636 --> Train loss = 0.0095 Train Accuracy = 51.1620 
------> epoch: 1636 --> Test loss = 0.0059 Test Accuracy = 81.3700 
epoch: 1637 --> Train loss = 0.0097 Train Accuracy = 51.6280 
------> epoch: 1637 --> Test loss = 0.0059 Test Accuracy = 81.4600 
epoch: 1638 --> Train loss = 0.0099 Train Accuracy = 50.5000 
------> epoch: 1638 --> Test loss = 0.0060 Test Accuracy = 81.1000 
epoch: 1639 --> Train loss = 0.0098 Train Accuracy = 51.7080 
------> epoch: 1639 --> Test loss = 0.0058 Test Accuracy = 81.2600 
epoch: 1640 --> Train loss = 0.0099 Train Accuracy = 49.7540 
------> epoch: 1640 --> Test loss = 0.0061 Test Accuracy = 80.9300 
epoch: 1641 --> Train loss = 0.0099 Train Accuracy = 50.0660 
------> epoch: 1641 --> Test loss = 0.0059 Test Accuracy = 81.3500 
epoch: 1642 --> Train loss = 0.0098 Train Accuracy = 49.9560 
------> epoch: 1642 --> Test loss = 0.0058 Test Accuracy = 81.5400 
epoch: 1643 --> Train loss = 0.0097 Train Accuracy = 50.1660 
------> epoch: 1643 --> Test loss = 0.0058 Test Accuracy = 81.4500 
epoch: 1644 --> Train loss = 0.0098 Train Accuracy = 48.5920 
------> epoch: 1644 --> Test loss = 0.0059 Test Accuracy = 81.7000 
epoch: 1645 --> Train loss = 0.0098 Train Accuracy = 49.8160 
------> epoch: 1645 --> Test loss = 0.0058 Test Accuracy = 81.5700 
epoch: 1646 --> Train loss = 0.0097 Train Accuracy = 50.5860 
------> epoch: 1646 --> Test loss = 0.0059 Test Accuracy = 81.2500 
epoch: 1647 --> Train loss = 0.0097 Train Accuracy = 54.3200 
------> epoch: 1647 --> Test loss = 0.0059 Test Accuracy = 81.4000 
epoch: 1648 --> Train loss = 0.0099 Train Accuracy = 45.1120 
------> epoch: 1648 --> Test loss = 0.0058 Test Accuracy = 81.6400 
epoch: 1649 --> Train loss = 0.0099 Train Accuracy = 47.0920 
------> epoch: 1649 --> Test loss = 0.0060 Test Accuracy = 81.0100 
epoch: 1650 --> Train loss = 0.0098 Train Accuracy = 48.3740 
------> epoch: 1650 --> Test loss = 0.0059 Test Accuracy = 81.3800 
epoch: 1651 --> Train loss = 0.0100 Train Accuracy = 48.6140 
------> epoch: 1651 --> Test loss = 0.0059 Test Accuracy = 81.5600 
epoch: 1652 --> Train loss = 0.0097 Train Accuracy = 52.9400 
------> epoch: 1652 --> Test loss = 0.0059 Test Accuracy = 81.1500 
epoch: 1653 --> Train loss = 0.0098 Train Accuracy = 51.3920 
------> epoch: 1653 --> Test loss = 0.0060 Test Accuracy = 81.1100 
epoch: 1654 --> Train loss = 0.0098 Train Accuracy = 50.4660 
------> epoch: 1654 --> Test loss = 0.0059 Test Accuracy = 81.6400 
epoch: 1655 --> Train loss = 0.0098 Train Accuracy = 48.3300 
------> epoch: 1655 --> Test loss = 0.0058 Test Accuracy = 81.5600 
epoch: 1656 --> Train loss = 0.0096 Train Accuracy = 51.5700 
------> epoch: 1656 --> Test loss = 0.0059 Test Accuracy = 81.5700 
epoch: 1657 --> Train loss = 0.0097 Train Accuracy = 48.4440 
------> epoch: 1657 --> Test loss = 0.0059 Test Accuracy = 81.6500 
epoch: 1658 --> Train loss = 0.0098 Train Accuracy = 50.8740 
------> epoch: 1658 --> Test loss = 0.0058 Test Accuracy = 81.4900 
epoch: 1659 --> Train loss = 0.0097 Train Accuracy = 49.3620 
------> epoch: 1659 --> Test loss = 0.0059 Test Accuracy = 81.2700 
epoch: 1660 --> Train loss = 0.0095 Train Accuracy = 51.3280 
------> epoch: 1660 --> Test loss = 0.0058 Test Accuracy = 81.6300 
epoch: 1661 --> Train loss = 0.0100 Train Accuracy = 45.8660 
------> epoch: 1661 --> Test loss = 0.0058 Test Accuracy = 81.3600 
epoch: 1662 --> Train loss = 0.0097 Train Accuracy = 51.7560 
------> epoch: 1662 --> Test loss = 0.0060 Test Accuracy = 81.2700 
epoch: 1663 --> Train loss = 0.0096 Train Accuracy = 49.9160 
------> epoch: 1663 --> Test loss = 0.0059 Test Accuracy = 81.4900 
epoch: 1664 --> Train loss = 0.0099 Train Accuracy = 48.9040 
------> epoch: 1664 --> Test loss = 0.0061 Test Accuracy = 80.9100 
epoch: 1665 --> Train loss = 0.0096 Train Accuracy = 51.3360 
------> epoch: 1665 --> Test loss = 0.0058 Test Accuracy = 81.7000 
epoch: 1666 --> Train loss = 0.0096 Train Accuracy = 49.9720 
------> epoch: 1666 --> Test loss = 0.0060 Test Accuracy = 81.6700 
epoch: 1667 --> Train loss = 0.0096 Train Accuracy = 47.7980 
------> epoch: 1667 --> Test loss = 0.0059 Test Accuracy = 81.5800 
epoch: 1668 --> Train loss = 0.0099 Train Accuracy = 45.6100 
------> epoch: 1668 --> Test loss = 0.0059 Test Accuracy = 81.6000 
epoch: 1669 --> Train loss = 0.0098 Train Accuracy = 53.9920 
------> epoch: 1669 --> Test loss = 0.0058 Test Accuracy = 81.6500 
epoch: 1670 --> Train loss = 0.0098 Train Accuracy = 47.6160 
------> epoch: 1670 --> Test loss = 0.0058 Test Accuracy = 81.7000 
epoch: 1671 --> Train loss = 0.0097 Train Accuracy = 51.2660 
------> epoch: 1671 --> Test loss = 0.0058 Test Accuracy = 81.7000 
epoch: 1672 --> Train loss = 0.0099 Train Accuracy = 50.2420 
------> epoch: 1672 --> Test loss = 0.0058 Test Accuracy = 81.6000 
epoch: 1673 --> Train loss = 0.0098 Train Accuracy = 49.6100 
------> epoch: 1673 --> Test loss = 0.0060 Test Accuracy = 81.3400 
epoch: 1674 --> Train loss = 0.0098 Train Accuracy = 50.2520 
------> epoch: 1674 --> Test loss = 0.0059 Test Accuracy = 81.5300 
epoch: 1675 --> Train loss = 0.0097 Train Accuracy = 45.9000 
------> epoch: 1675 --> Test loss = 0.0058 Test Accuracy = 81.6200 
epoch: 1676 --> Train loss = 0.0096 Train Accuracy = 49.5620 
------> epoch: 1676 --> Test loss = 0.0058 Test Accuracy = 81.5600 
epoch: 1677 --> Train loss = 0.0098 Train Accuracy = 47.9660 
------> epoch: 1677 --> Test loss = 0.0059 Test Accuracy = 81.2400 
epoch: 1678 --> Train loss = 0.0095 Train Accuracy = 53.2380 
------> epoch: 1678 --> Test loss = 0.0062 Test Accuracy = 81.1000 
epoch: 1679 --> Train loss = 0.0099 Train Accuracy = 48.6400 
------> epoch: 1679 --> Test loss = 0.0058 Test Accuracy = 81.5900 
epoch: 1680 --> Train loss = 0.0100 Train Accuracy = 45.4020 
------> epoch: 1680 --> Test loss = 0.0058 Test Accuracy = 81.5100 
epoch: 1681 --> Train loss = 0.0096 Train Accuracy = 50.7680 
------> epoch: 1681 --> Test loss = 0.0058 Test Accuracy = 81.6700 
epoch: 1682 --> Train loss = 0.0097 Train Accuracy = 51.7880 
------> epoch: 1682 --> Test loss = 0.0059 Test Accuracy = 81.2400 
epoch: 1683 --> Train loss = 0.0096 Train Accuracy = 48.1700 
------> epoch: 1683 --> Test loss = 0.0059 Test Accuracy = 81.4300 
epoch: 1684 --> Train loss = 0.0097 Train Accuracy = 51.2380 
------> epoch: 1684 --> Test loss = 0.0058 Test Accuracy = 81.5600 
epoch: 1685 --> Train loss = 0.0097 Train Accuracy = 52.6600 
------> epoch: 1685 --> Test loss = 0.0058 Test Accuracy = 81.5800 
epoch: 1686 --> Train loss = 0.0097 Train Accuracy = 51.6020 
------> epoch: 1686 --> Test loss = 0.0058 Test Accuracy = 81.3500 
epoch: 1687 --> Train loss = 0.0099 Train Accuracy = 50.6100 
------> epoch: 1687 --> Test loss = 0.0058 Test Accuracy = 81.3900 
epoch: 1688 --> Train loss = 0.0096 Train Accuracy = 51.3680 
------> epoch: 1688 --> Test loss = 0.0058 Test Accuracy = 81.5200 
epoch: 1689 --> Train loss = 0.0099 Train Accuracy = 49.7300 
------> epoch: 1689 --> Test loss = 0.0058 Test Accuracy = 81.6300 
epoch: 1690 --> Train loss = 0.0098 Train Accuracy = 47.6840 
------> epoch: 1690 --> Test loss = 0.0061 Test Accuracy = 80.9700 
epoch: 1691 --> Train loss = 0.0096 Train Accuracy = 48.1820 
------> epoch: 1691 --> Test loss = 0.0063 Test Accuracy = 80.7500 
epoch: 1692 --> Train loss = 0.0096 Train Accuracy = 49.8060 
------> epoch: 1692 --> Test loss = 0.0058 Test Accuracy = 81.4300 
epoch: 1693 --> Train loss = 0.0096 Train Accuracy = 50.7320 
------> epoch: 1693 --> Test loss = 0.0059 Test Accuracy = 81.5600 
epoch: 1694 --> Train loss = 0.0099 Train Accuracy = 50.1900 
------> epoch: 1694 --> Test loss = 0.0059 Test Accuracy = 81.2800 
epoch: 1695 --> Train loss = 0.0097 Train Accuracy = 50.3520 
------> epoch: 1695 --> Test loss = 0.0058 Test Accuracy = 81.3400 
epoch: 1696 --> Train loss = 0.0098 Train Accuracy = 48.9440 
------> epoch: 1696 --> Test loss = 0.0061 Test Accuracy = 80.9700 
epoch: 1697 --> Train loss = 0.0097 Train Accuracy = 47.0700 
------> epoch: 1697 --> Test loss = 0.0058 Test Accuracy = 81.3000 
epoch: 1698 --> Train loss = 0.0097 Train Accuracy = 46.8000 
------> epoch: 1698 --> Test loss = 0.0059 Test Accuracy = 81.3200 
epoch: 1699 --> Train loss = 0.0098 Train Accuracy = 50.9900 
------> epoch: 1699 --> Test loss = 0.0058 Test Accuracy = 81.6500 
epoch: 1700 --> Train loss = 0.0099 Train Accuracy = 51.5560 
------> epoch: 1700 --> Test loss = 0.0058 Test Accuracy = 81.4600 
epoch: 1701 --> Train loss = 0.0097 Train Accuracy = 49.2520 
------> epoch: 1701 --> Test loss = 0.0058 Test Accuracy = 81.5600 
epoch: 1702 --> Train loss = 0.0097 Train Accuracy = 49.7260 
------> epoch: 1702 --> Test loss = 0.0059 Test Accuracy = 81.5800 
epoch: 1703 --> Train loss = 0.0097 Train Accuracy = 50.4420 
------> epoch: 1703 --> Test loss = 0.0059 Test Accuracy = 81.2300 
epoch: 1704 --> Train loss = 0.0096 Train Accuracy = 50.0700 
------> epoch: 1704 --> Test loss = 0.0058 Test Accuracy = 81.5200 
epoch: 1705 --> Train loss = 0.0099 Train Accuracy = 50.7660 
------> epoch: 1705 --> Test loss = 0.0058 Test Accuracy = 81.3800 
epoch: 1706 --> Train loss = 0.0097 Train Accuracy = 46.9980 
------> epoch: 1706 --> Test loss = 0.0060 Test Accuracy = 81.0500 
epoch: 1707 --> Train loss = 0.0097 Train Accuracy = 52.6960 
------> epoch: 1707 --> Test loss = 0.0058 Test Accuracy = 81.5500 
epoch: 1708 --> Train loss = 0.0096 Train Accuracy = 47.4180 
------> epoch: 1708 --> Test loss = 0.0058 Test Accuracy = 81.6100 
epoch: 1709 --> Train loss = 0.0097 Train Accuracy = 48.8320 
------> epoch: 1709 --> Test loss = 0.0058 Test Accuracy = 81.4100 
epoch: 1710 --> Train loss = 0.0098 Train Accuracy = 48.2440 
------> epoch: 1710 --> Test loss = 0.0058 Test Accuracy = 81.4700 
epoch: 1711 --> Train loss = 0.0098 Train Accuracy = 48.7460 
------> epoch: 1711 --> Test loss = 0.0058 Test Accuracy = 81.4800 
epoch: 1712 --> Train loss = 0.0095 Train Accuracy = 51.9460 
------> epoch: 1712 --> Test loss = 0.0058 Test Accuracy = 81.5000 
epoch: 1713 --> Train loss = 0.0097 Train Accuracy = 52.0420 
------> epoch: 1713 --> Test loss = 0.0058 Test Accuracy = 81.6200 
epoch: 1714 --> Train loss = 0.0096 Train Accuracy = 51.0720 
------> epoch: 1714 --> Test loss = 0.0058 Test Accuracy = 81.6400 
epoch: 1715 --> Train loss = 0.0099 Train Accuracy = 47.1320 
------> epoch: 1715 --> Test loss = 0.0059 Test Accuracy = 81.4900 
epoch: 1716 --> Train loss = 0.0097 Train Accuracy = 51.7960 
------> epoch: 1716 --> Test loss = 0.0059 Test Accuracy = 81.6200 
epoch: 1717 --> Train loss = 0.0098 Train Accuracy = 47.1120 
------> epoch: 1717 --> Test loss = 0.0058 Test Accuracy = 81.4200 
epoch: 1718 --> Train loss = 0.0097 Train Accuracy = 55.0560 
------> epoch: 1718 --> Test loss = 0.0059 Test Accuracy = 81.2900 
epoch: 1719 --> Train loss = 0.0095 Train Accuracy = 48.6000 
------> epoch: 1719 --> Test loss = 0.0058 Test Accuracy = 81.4900 
epoch: 1720 --> Train loss = 0.0098 Train Accuracy = 46.7520 
------> epoch: 1720 --> Test loss = 0.0058 Test Accuracy = 81.6700 
epoch: 1721 --> Train loss = 0.0098 Train Accuracy = 48.6900 
------> epoch: 1721 --> Test loss = 0.0058 Test Accuracy = 81.3300 
epoch: 1722 --> Train loss = 0.0097 Train Accuracy = 52.3120 
------> epoch: 1722 --> Test loss = 0.0058 Test Accuracy = 81.6200 
epoch: 1723 --> Train loss = 0.0099 Train Accuracy = 44.7500 
------> epoch: 1723 --> Test loss = 0.0059 Test Accuracy = 81.3600 
epoch: 1724 --> Train loss = 0.0098 Train Accuracy = 47.0820 
------> epoch: 1724 --> Test loss = 0.0059 Test Accuracy = 81.4000 
epoch: 1725 --> Train loss = 0.0099 Train Accuracy = 52.6640 
------> epoch: 1725 --> Test loss = 0.0059 Test Accuracy = 81.3100 
epoch: 1726 --> Train loss = 0.0098 Train Accuracy = 47.7640 
------> epoch: 1726 --> Test loss = 0.0059 Test Accuracy = 81.5400 
epoch: 1727 --> Train loss = 0.0099 Train Accuracy = 47.6800 
------> epoch: 1727 --> Test loss = 0.0058 Test Accuracy = 81.5000 
epoch: 1728 --> Train loss = 0.0098 Train Accuracy = 50.9280 
------> epoch: 1728 --> Test loss = 0.0058 Test Accuracy = 81.6800 
epoch: 1729 --> Train loss = 0.0097 Train Accuracy = 50.4480 
------> epoch: 1729 --> Test loss = 0.0058 Test Accuracy = 81.6000 
epoch: 1730 --> Train loss = 0.0099 Train Accuracy = 50.5200 
------> epoch: 1730 --> Test loss = 0.0059 Test Accuracy = 81.3800 
epoch: 1731 --> Train loss = 0.0097 Train Accuracy = 51.7300 
------> epoch: 1731 --> Test loss = 0.0059 Test Accuracy = 81.5800 
epoch: 1732 --> Train loss = 0.0098 Train Accuracy = 49.2160 
------> epoch: 1732 --> Test loss = 0.0059 Test Accuracy = 81.7000 
epoch: 1733 --> Train loss = 0.0097 Train Accuracy = 45.5880 
------> epoch: 1733 --> Test loss = 0.0059 Test Accuracy = 81.3100 
epoch: 1734 --> Train loss = 0.0097 Train Accuracy = 50.9920 
------> epoch: 1734 --> Test loss = 0.0058 Test Accuracy = 81.6100 
epoch: 1735 --> Train loss = 0.0097 Train Accuracy = 51.9560 
------> epoch: 1735 --> Test loss = 0.0060 Test Accuracy = 81.2700 
epoch: 1736 --> Train loss = 0.0099 Train Accuracy = 51.1820 
------> epoch: 1736 --> Test loss = 0.0058 Test Accuracy = 81.4700 
epoch: 1737 --> Train loss = 0.0097 Train Accuracy = 50.6220 
------> epoch: 1737 --> Test loss = 0.0058 Test Accuracy = 81.6200 
epoch: 1738 --> Train loss = 0.0098 Train Accuracy = 47.9240 
------> epoch: 1738 --> Test loss = 0.0062 Test Accuracy = 80.8500 
epoch: 1739 --> Train loss = 0.0095 Train Accuracy = 49.7660 
------> epoch: 1739 --> Test loss = 0.0058 Test Accuracy = 81.6200 
epoch: 1740 --> Train loss = 0.0099 Train Accuracy = 48.1860 
------> epoch: 1740 --> Test loss = 0.0058 Test Accuracy = 81.4500 
epoch: 1741 --> Train loss = 0.0097 Train Accuracy = 49.9900 
------> epoch: 1741 --> Test loss = 0.0059 Test Accuracy = 81.4800 
epoch: 1742 --> Train loss = 0.0098 Train Accuracy = 48.6700 
------> epoch: 1742 --> Test loss = 0.0059 Test Accuracy = 81.6700 
epoch: 1743 --> Train loss = 0.0098 Train Accuracy = 50.7620 
------> epoch: 1743 --> Test loss = 0.0058 Test Accuracy = 81.6400 
epoch: 1744 --> Train loss = 0.0098 Train Accuracy = 46.6720 
------> epoch: 1744 --> Test loss = 0.0058 Test Accuracy = 81.5000 
epoch: 1745 --> Train loss = 0.0097 Train Accuracy = 48.2720 
------> epoch: 1745 --> Test loss = 0.0059 Test Accuracy = 81.6600 
epoch: 1746 --> Train loss = 0.0096 Train Accuracy = 47.7820 
------> epoch: 1746 --> Test loss = 0.0059 Test Accuracy = 81.5000 
epoch: 1747 --> Train loss = 0.0097 Train Accuracy = 50.3400 
------> epoch: 1747 --> Test loss = 0.0059 Test Accuracy = 81.4500 
epoch: 1748 --> Train loss = 0.0095 Train Accuracy = 46.9800 
------> epoch: 1748 --> Test loss = 0.0058 Test Accuracy = 81.6500 
epoch: 1749 --> Train loss = 0.0097 Train Accuracy = 53.1120 
------> epoch: 1749 --> Test loss = 0.0060 Test Accuracy = 81.1800 
epoch: 1750 --> Train loss = 0.0098 Train Accuracy = 50.9200 
------> epoch: 1750 --> Test loss = 0.0059 Test Accuracy = 81.6300 
epoch: 1751 --> Train loss = 0.0097 Train Accuracy = 49.3280 
------> epoch: 1751 --> Test loss = 0.0058 Test Accuracy = 81.4500 
epoch: 1752 --> Train loss = 0.0095 Train Accuracy = 48.9360 
------> epoch: 1752 --> Test loss = 0.0059 Test Accuracy = 81.4900 
epoch: 1753 --> Train loss = 0.0097 Train Accuracy = 48.5840 
------> epoch: 1753 --> Test loss = 0.0061 Test Accuracy = 81.0500 
epoch: 1754 --> Train loss = 0.0095 Train Accuracy = 49.8960 
------> epoch: 1754 --> Test loss = 0.0059 Test Accuracy = 81.5200 
epoch: 1755 --> Train loss = 0.0096 Train Accuracy = 51.6900 
------> epoch: 1755 --> Test loss = 0.0058 Test Accuracy = 81.5900 
epoch: 1756 --> Train loss = 0.0096 Train Accuracy = 48.0800 
------> epoch: 1756 --> Test loss = 0.0059 Test Accuracy = 81.3300 
epoch: 1757 --> Train loss = 0.0098 Train Accuracy = 51.5600 
------> epoch: 1757 --> Test loss = 0.0059 Test Accuracy = 81.5500 
epoch: 1758 --> Train loss = 0.0097 Train Accuracy = 52.8920 
------> epoch: 1758 --> Test loss = 0.0058 Test Accuracy = 81.5700 
epoch: 1759 --> Train loss = 0.0098 Train Accuracy = 48.7800 
------> epoch: 1759 --> Test loss = 0.0059 Test Accuracy = 81.3700 
epoch: 1760 --> Train loss = 0.0098 Train Accuracy = 50.1100 
------> epoch: 1760 --> Test loss = 0.0060 Test Accuracy = 81.2500 
epoch: 1761 --> Train loss = 0.0097 Train Accuracy = 50.1780 
------> epoch: 1761 --> Test loss = 0.0059 Test Accuracy = 81.1900 
epoch: 1762 --> Train loss = 0.0099 Train Accuracy = 48.7920 
------> epoch: 1762 --> Test loss = 0.0058 Test Accuracy = 81.6600 
epoch: 1763 --> Train loss = 0.0095 Train Accuracy = 53.6720 
------> epoch: 1763 --> Test loss = 0.0058 Test Accuracy = 81.4100 
epoch: 1764 --> Train loss = 0.0096 Train Accuracy = 49.4120 
------> epoch: 1764 --> Test loss = 0.0059 Test Accuracy = 81.6200 
epoch: 1765 --> Train loss = 0.0098 Train Accuracy = 49.9500 
------> epoch: 1765 --> Test loss = 0.0059 Test Accuracy = 81.2600 
epoch: 1766 --> Train loss = 0.0096 Train Accuracy = 46.2720 
------> epoch: 1766 --> Test loss = 0.0058 Test Accuracy = 81.5900 
epoch: 1767 --> Train loss = 0.0098 Train Accuracy = 47.0060 
------> epoch: 1767 --> Test loss = 0.0058 Test Accuracy = 81.3800 
epoch: 1768 --> Train loss = 0.0097 Train Accuracy = 49.6420 
------> epoch: 1768 --> Test loss = 0.0059 Test Accuracy = 81.0600 
epoch: 1769 --> Train loss = 0.0096 Train Accuracy = 49.7900 
------> epoch: 1769 --> Test loss = 0.0058 Test Accuracy = 81.5300 
epoch: 1770 --> Train loss = 0.0096 Train Accuracy = 51.9900 
------> epoch: 1770 --> Test loss = 0.0059 Test Accuracy = 81.2200 
epoch: 1771 --> Train loss = 0.0099 Train Accuracy = 50.9080 
------> epoch: 1771 --> Test loss = 0.0058 Test Accuracy = 81.6300 
epoch: 1772 --> Train loss = 0.0097 Train Accuracy = 51.3880 
------> epoch: 1772 --> Test loss = 0.0058 Test Accuracy = 81.5700 
epoch: 1773 --> Train loss = 0.0097 Train Accuracy = 46.8700 
------> epoch: 1773 --> Test loss = 0.0060 Test Accuracy = 81.2700 
epoch: 1774 --> Train loss = 0.0098 Train Accuracy = 52.5960 
------> epoch: 1774 --> Test loss = 0.0057 Test Accuracy = 81.6400 
epoch: 1775 --> Train loss = 0.0098 Train Accuracy = 46.8780 
------> epoch: 1775 --> Test loss = 0.0058 Test Accuracy = 81.5300 
epoch: 1776 --> Train loss = 0.0096 Train Accuracy = 49.5020 
------> epoch: 1776 --> Test loss = 0.0058 Test Accuracy = 81.5500 
epoch: 1777 --> Train loss = 0.0096 Train Accuracy = 50.7300 
------> epoch: 1777 --> Test loss = 0.0059 Test Accuracy = 81.5800 
epoch: 1778 --> Train loss = 0.0097 Train Accuracy = 48.4620 
------> epoch: 1778 --> Test loss = 0.0058 Test Accuracy = 81.3700 
epoch: 1779 --> Train loss = 0.0097 Train Accuracy = 51.3860 
------> epoch: 1779 --> Test loss = 0.0058 Test Accuracy = 81.5000 
epoch: 1780 --> Train loss = 0.0097 Train Accuracy = 47.1920 
------> epoch: 1780 --> Test loss = 0.0058 Test Accuracy = 81.6100 
epoch: 1781 --> Train loss = 0.0096 Train Accuracy = 47.6000 
------> epoch: 1781 --> Test loss = 0.0058 Test Accuracy = 81.4300 
epoch: 1782 --> Train loss = 0.0097 Train Accuracy = 43.2440 
------> epoch: 1782 --> Test loss = 0.0059 Test Accuracy = 81.3700 
epoch: 1783 --> Train loss = 0.0096 Train Accuracy = 49.0220 
------> epoch: 1783 --> Test loss = 0.0059 Test Accuracy = 81.2300 
epoch: 1784 --> Train loss = 0.0096 Train Accuracy = 48.0780 
------> epoch: 1784 --> Test loss = 0.0059 Test Accuracy = 81.6800 
epoch: 1785 --> Train loss = 0.0096 Train Accuracy = 46.5740 
------> epoch: 1785 --> Test loss = 0.0059 Test Accuracy = 81.3900 
epoch: 1786 --> Train loss = 0.0097 Train Accuracy = 48.4780 
------> epoch: 1786 --> Test loss = 0.0058 Test Accuracy = 81.6200 
epoch: 1787 --> Train loss = 0.0098 Train Accuracy = 51.6440 
------> epoch: 1787 --> Test loss = 0.0059 Test Accuracy = 81.5100 
epoch: 1788 --> Train loss = 0.0098 Train Accuracy = 48.6220 
------> epoch: 1788 --> Test loss = 0.0058 Test Accuracy = 81.5600 
epoch: 1789 --> Train loss = 0.0097 Train Accuracy = 52.0260 
------> epoch: 1789 --> Test loss = 0.0058 Test Accuracy = 81.5400 
epoch: 1790 --> Train loss = 0.0098 Train Accuracy = 49.9820 
------> epoch: 1790 --> Test loss = 0.0058 Test Accuracy = 81.3100 
epoch: 1791 --> Train loss = 0.0095 Train Accuracy = 50.4780 
------> epoch: 1791 --> Test loss = 0.0059 Test Accuracy = 81.5600 
epoch: 1792 --> Train loss = 0.0097 Train Accuracy = 50.1560 
------> epoch: 1792 --> Test loss = 0.0058 Test Accuracy = 81.6500 
epoch: 1793 --> Train loss = 0.0096 Train Accuracy = 48.3020 
------> epoch: 1793 --> Test loss = 0.0058 Test Accuracy = 81.4300 
epoch: 1794 --> Train loss = 0.0097 Train Accuracy = 52.2740 
------> epoch: 1794 --> Test loss = 0.0059 Test Accuracy = 81.5800 
epoch: 1795 --> Train loss = 0.0099 Train Accuracy = 48.1400 
------> epoch: 1795 --> Test loss = 0.0058 Test Accuracy = 81.4500 
epoch: 1796 --> Train loss = 0.0098 Train Accuracy = 52.3900 
------> epoch: 1796 --> Test loss = 0.0060 Test Accuracy = 80.9000 
epoch: 1797 --> Train loss = 0.0096 Train Accuracy = 50.1500 
------> epoch: 1797 --> Test loss = 0.0059 Test Accuracy = 81.1300 
epoch: 1798 --> Train loss = 0.0096 Train Accuracy = 46.4080 
------> epoch: 1798 --> Test loss = 0.0059 Test Accuracy = 81.5200 
epoch: 1799 --> Train loss = 0.0097 Train Accuracy = 49.0380 
------> epoch: 1799 --> Test loss = 0.0058 Test Accuracy = 81.5200 
epoch: 1800 --> Train loss = 0.0099 Train Accuracy = 49.8020 
------> epoch: 1800 --> Test loss = 0.0060 Test Accuracy = 81.1000 
epoch: 1801 --> Train loss = 0.0097 Train Accuracy = 49.0180 
------> epoch: 1801 --> Test loss = 0.0059 Test Accuracy = 81.2500 
epoch: 1802 --> Train loss = 0.0098 Train Accuracy = 50.4800 
------> epoch: 1802 --> Test loss = 0.0058 Test Accuracy = 81.5400 
epoch: 1803 --> Train loss = 0.0099 Train Accuracy = 51.2260 
------> epoch: 1803 --> Test loss = 0.0059 Test Accuracy = 81.3200 
epoch: 1804 --> Train loss = 0.0097 Train Accuracy = 47.8560 
------> epoch: 1804 --> Test loss = 0.0058 Test Accuracy = 81.4600 
epoch: 1805 --> Train loss = 0.0096 Train Accuracy = 50.9100 
------> epoch: 1805 --> Test loss = 0.0058 Test Accuracy = 81.4600 
epoch: 1806 --> Train loss = 0.0099 Train Accuracy = 47.2280 
------> epoch: 1806 --> Test loss = 0.0058 Test Accuracy = 81.4500 
epoch: 1807 --> Train loss = 0.0098 Train Accuracy = 53.0560 
------> epoch: 1807 --> Test loss = 0.0060 Test Accuracy = 81.0800 
epoch: 1808 --> Train loss = 0.0098 Train Accuracy = 47.1900 
------> epoch: 1808 --> Test loss = 0.0058 Test Accuracy = 81.6000 
epoch: 1809 --> Train loss = 0.0096 Train Accuracy = 50.4880 
------> epoch: 1809 --> Test loss = 0.0058 Test Accuracy = 81.5100 
epoch: 1810 --> Train loss = 0.0098 Train Accuracy = 52.0560 
------> epoch: 1810 --> Test loss = 0.0059 Test Accuracy = 81.6000 
epoch: 1811 --> Train loss = 0.0097 Train Accuracy = 45.8940 
------> epoch: 1811 --> Test loss = 0.0058 Test Accuracy = 81.5900 
epoch: 1812 --> Train loss = 0.0097 Train Accuracy = 48.5560 
------> epoch: 1812 --> Test loss = 0.0058 Test Accuracy = 81.5800 
epoch: 1813 --> Train loss = 0.0097 Train Accuracy = 52.0180 
------> epoch: 1813 --> Test loss = 0.0059 Test Accuracy = 81.3300 
epoch: 1814 --> Train loss = 0.0097 Train Accuracy = 49.8720 
------> epoch: 1814 --> Test loss = 0.0058 Test Accuracy = 81.5400 
epoch: 1815 --> Train loss = 0.0097 Train Accuracy = 51.7740 
------> epoch: 1815 --> Test loss = 0.0058 Test Accuracy = 81.4200 
epoch: 1816 --> Train loss = 0.0097 Train Accuracy = 45.8520 
------> epoch: 1816 --> Test loss = 0.0059 Test Accuracy = 81.6100 
epoch: 1817 --> Train loss = 0.0097 Train Accuracy = 49.1280 
------> epoch: 1817 --> Test loss = 0.0059 Test Accuracy = 81.0800 
epoch: 1818 --> Train loss = 0.0096 Train Accuracy = 54.9920 
------> epoch: 1818 --> Test loss = 0.0058 Test Accuracy = 81.3300 
epoch: 1819 --> Train loss = 0.0098 Train Accuracy = 51.6340 
------> epoch: 1819 --> Test loss = 0.0058 Test Accuracy = 81.3400 
epoch: 1820 --> Train loss = 0.0097 Train Accuracy = 47.6040 
------> epoch: 1820 --> Test loss = 0.0059 Test Accuracy = 81.6000 
epoch: 1821 --> Train loss = 0.0098 Train Accuracy = 46.6200 
------> epoch: 1821 --> Test loss = 0.0059 Test Accuracy = 81.2800 
epoch: 1822 --> Train loss = 0.0098 Train Accuracy = 49.7720 
------> epoch: 1822 --> Test loss = 0.0059 Test Accuracy = 81.1900 
epoch: 1823 --> Train loss = 0.0097 Train Accuracy = 51.1420 
------> epoch: 1823 --> Test loss = 0.0058 Test Accuracy = 81.6600 
epoch: 1824 --> Train loss = 0.0098 Train Accuracy = 50.3960 
------> epoch: 1824 --> Test loss = 0.0059 Test Accuracy = 81.5400 
epoch: 1825 --> Train loss = 0.0094 Train Accuracy = 51.4000 
------> epoch: 1825 --> Test loss = 0.0059 Test Accuracy = 81.7100 
Saving..
epoch: 1826 --> Train loss = 0.0096 Train Accuracy = 52.4460 
------> epoch: 1826 --> Test loss = 0.0059 Test Accuracy = 81.4600 
epoch: 1827 --> Train loss = 0.0097 Train Accuracy = 51.6560 
------> epoch: 1827 --> Test loss = 0.0057 Test Accuracy = 81.6100 
epoch: 1828 --> Train loss = 0.0098 Train Accuracy = 49.0860 
------> epoch: 1828 --> Test loss = 0.0058 Test Accuracy = 81.4500 
epoch: 1829 --> Train loss = 0.0097 Train Accuracy = 50.1840 
------> epoch: 1829 --> Test loss = 0.0058 Test Accuracy = 81.4600 
epoch: 1830 --> Train loss = 0.0097 Train Accuracy = 57.0300 
------> epoch: 1830 --> Test loss = 0.0059 Test Accuracy = 81.1500 
epoch: 1831 --> Train loss = 0.0098 Train Accuracy = 48.6980 
------> epoch: 1831 --> Test loss = 0.0059 Test Accuracy = 81.2200 
epoch: 1832 --> Train loss = 0.0098 Train Accuracy = 53.0740 
------> epoch: 1832 --> Test loss = 0.0059 Test Accuracy = 81.2300 
epoch: 1833 --> Train loss = 0.0098 Train Accuracy = 49.1560 
------> epoch: 1833 --> Test loss = 0.0059 Test Accuracy = 81.3100 
epoch: 1834 --> Train loss = 0.0096 Train Accuracy = 49.2860 
------> epoch: 1834 --> Test loss = 0.0058 Test Accuracy = 81.5700 
epoch: 1835 --> Train loss = 0.0098 Train Accuracy = 48.3720 
------> epoch: 1835 --> Test loss = 0.0058 Test Accuracy = 81.3200 
epoch: 1836 --> Train loss = 0.0097 Train Accuracy = 50.6660 
------> epoch: 1836 --> Test loss = 0.0058 Test Accuracy = 81.6700 
epoch: 1837 --> Train loss = 0.0096 Train Accuracy = 46.7840 
------> epoch: 1837 --> Test loss = 0.0058 Test Accuracy = 81.4100 
epoch: 1838 --> Train loss = 0.0098 Train Accuracy = 47.5900 
------> epoch: 1838 --> Test loss = 0.0058 Test Accuracy = 81.6600 
epoch: 1839 --> Train loss = 0.0098 Train Accuracy = 50.2160 
------> epoch: 1839 --> Test loss = 0.0059 Test Accuracy = 81.5800 
epoch: 1840 --> Train loss = 0.0095 Train Accuracy = 47.1060 
------> epoch: 1840 --> Test loss = 0.0060 Test Accuracy = 81.2700 
epoch: 1841 --> Train loss = 0.0102 Train Accuracy = 48.7880 
------> epoch: 1841 --> Test loss = 0.0060 Test Accuracy = 81.1900 
epoch: 1842 --> Train loss = 0.0098 Train Accuracy = 49.3600 
------> epoch: 1842 --> Test loss = 0.0058 Test Accuracy = 81.5400 
epoch: 1843 --> Train loss = 0.0098 Train Accuracy = 48.1200 
------> epoch: 1843 --> Test loss = 0.0058 Test Accuracy = 81.6600 
epoch: 1844 --> Train loss = 0.0098 Train Accuracy = 51.3440 
------> epoch: 1844 --> Test loss = 0.0058 Test Accuracy = 81.4200 
epoch: 1845 --> Train loss = 0.0096 Train Accuracy = 50.9260 
------> epoch: 1845 --> Test loss = 0.0059 Test Accuracy = 81.4100 
epoch: 1846 --> Train loss = 0.0096 Train Accuracy = 49.2920 
------> epoch: 1846 --> Test loss = 0.0058 Test Accuracy = 81.5400 
epoch: 1847 --> Train loss = 0.0099 Train Accuracy = 48.6640 
------> epoch: 1847 --> Test loss = 0.0058 Test Accuracy = 81.5500 
epoch: 1848 --> Train loss = 0.0098 Train Accuracy = 51.5600 
------> epoch: 1848 --> Test loss = 0.0058 Test Accuracy = 81.4900 
epoch: 1849 --> Train loss = 0.0098 Train Accuracy = 50.7160 
------> epoch: 1849 --> Test loss = 0.0059 Test Accuracy = 81.6900 
epoch: 1850 --> Train loss = 0.0098 Train Accuracy = 47.5700 
------> epoch: 1850 --> Test loss = 0.0058 Test Accuracy = 81.4700 
epoch: 1851 --> Train loss = 0.0098 Train Accuracy = 46.2640 
------> epoch: 1851 --> Test loss = 0.0058 Test Accuracy = 81.4300 
epoch: 1852 --> Train loss = 0.0099 Train Accuracy = 52.3840 
------> epoch: 1852 --> Test loss = 0.0064 Test Accuracy = 80.6300 
epoch: 1853 --> Train loss = 0.0096 Train Accuracy = 48.6600 
------> epoch: 1853 --> Test loss = 0.0058 Test Accuracy = 81.6500 
epoch: 1854 --> Train loss = 0.0099 Train Accuracy = 50.1800 
------> epoch: 1854 --> Test loss = 0.0059 Test Accuracy = 81.2000 
epoch: 1855 --> Train loss = 0.0096 Train Accuracy = 50.3660 
------> epoch: 1855 --> Test loss = 0.0059 Test Accuracy = 81.2900 
epoch: 1856 --> Train loss = 0.0097 Train Accuracy = 52.2720 
------> epoch: 1856 --> Test loss = 0.0058 Test Accuracy = 81.5500 
epoch: 1857 --> Train loss = 0.0096 Train Accuracy = 50.1060 
------> epoch: 1857 --> Test loss = 0.0059 Test Accuracy = 81.4500 
epoch: 1858 --> Train loss = 0.0097 Train Accuracy = 50.9280 
------> epoch: 1858 --> Test loss = 0.0058 Test Accuracy = 81.4600 
epoch: 1859 --> Train loss = 0.0099 Train Accuracy = 49.0960 
------> epoch: 1859 --> Test loss = 0.0060 Test Accuracy = 81.0400 
epoch: 1860 --> Train loss = 0.0098 Train Accuracy = 50.1640 
------> epoch: 1860 --> Test loss = 0.0059 Test Accuracy = 81.5200 
epoch: 1861 --> Train loss = 0.0096 Train Accuracy = 48.5280 
------> epoch: 1861 --> Test loss = 0.0059 Test Accuracy = 81.3700 
epoch: 1862 --> Train loss = 0.0096 Train Accuracy = 50.1440 
------> epoch: 1862 --> Test loss = 0.0059 Test Accuracy = 81.6000 
epoch: 1863 --> Train loss = 0.0097 Train Accuracy = 52.2240 
------> epoch: 1863 --> Test loss = 0.0059 Test Accuracy = 81.6700 
epoch: 1864 --> Train loss = 0.0097 Train Accuracy = 48.8160 
------> epoch: 1864 --> Test loss = 0.0059 Test Accuracy = 81.5000 
epoch: 1865 --> Train loss = 0.0097 Train Accuracy = 48.1820 
------> epoch: 1865 --> Test loss = 0.0059 Test Accuracy = 81.6100 
epoch: 1866 --> Train loss = 0.0098 Train Accuracy = 47.2680 
------> epoch: 1866 --> Test loss = 0.0058 Test Accuracy = 81.4500 
epoch: 1867 --> Train loss = 0.0098 Train Accuracy = 47.6360 
------> epoch: 1867 --> Test loss = 0.0058 Test Accuracy = 81.6900 
epoch: 1868 --> Train loss = 0.0097 Train Accuracy = 54.3000 
------> epoch: 1868 --> Test loss = 0.0058 Test Accuracy = 81.6400 
epoch: 1869 --> Train loss = 0.0098 Train Accuracy = 49.4380 
------> epoch: 1869 --> Test loss = 0.0058 Test Accuracy = 81.5800 
epoch: 1870 --> Train loss = 0.0096 Train Accuracy = 48.4820 
------> epoch: 1870 --> Test loss = 0.0058 Test Accuracy = 81.3600 
epoch: 1871 --> Train loss = 0.0100 Train Accuracy = 49.0300 
------> epoch: 1871 --> Test loss = 0.0058 Test Accuracy = 81.5100 
epoch: 1872 --> Train loss = 0.0096 Train Accuracy = 52.2020 
------> epoch: 1872 --> Test loss = 0.0058 Test Accuracy = 81.6600 
epoch: 1873 --> Train loss = 0.0096 Train Accuracy = 53.6320 
------> epoch: 1873 --> Test loss = 0.0059 Test Accuracy = 81.6700 
epoch: 1874 --> Train loss = 0.0096 Train Accuracy = 49.9940 
------> epoch: 1874 --> Test loss = 0.0058 Test Accuracy = 81.7100 
epoch: 1875 --> Train loss = 0.0098 Train Accuracy = 47.8540 
------> epoch: 1875 --> Test loss = 0.0058 Test Accuracy = 81.6400 
epoch: 1876 --> Train loss = 0.0097 Train Accuracy = 51.8720 
------> epoch: 1876 --> Test loss = 0.0061 Test Accuracy = 80.9800 
epoch: 1877 --> Train loss = 0.0099 Train Accuracy = 48.8460 
------> epoch: 1877 --> Test loss = 0.0059 Test Accuracy = 81.6600 
epoch: 1878 --> Train loss = 0.0097 Train Accuracy = 49.5500 
------> epoch: 1878 --> Test loss = 0.0058 Test Accuracy = 81.6000 
epoch: 1879 --> Train loss = 0.0096 Train Accuracy = 50.1380 
------> epoch: 1879 --> Test loss = 0.0059 Test Accuracy = 81.5500 
epoch: 1880 --> Train loss = 0.0096 Train Accuracy = 45.5480 
------> epoch: 1880 --> Test loss = 0.0060 Test Accuracy = 81.1700 
epoch: 1881 --> Train loss = 0.0097 Train Accuracy = 48.5560 
------> epoch: 1881 --> Test loss = 0.0058 Test Accuracy = 81.5300 
epoch: 1882 --> Train loss = 0.0098 Train Accuracy = 52.5520 
------> epoch: 1882 --> Test loss = 0.0059 Test Accuracy = 81.2200 
epoch: 1883 --> Train loss = 0.0098 Train Accuracy = 53.8960 
------> epoch: 1883 --> Test loss = 0.0058 Test Accuracy = 81.6500 
epoch: 1884 --> Train loss = 0.0095 Train Accuracy = 48.2360 
------> epoch: 1884 --> Test loss = 0.0058 Test Accuracy = 81.5100 
epoch: 1885 --> Train loss = 0.0096 Train Accuracy = 50.1860 
------> epoch: 1885 --> Test loss = 0.0058 Test Accuracy = 81.4800 
epoch: 1886 --> Train loss = 0.0098 Train Accuracy = 49.8560 
------> epoch: 1886 --> Test loss = 0.0058 Test Accuracy = 81.5600 
epoch: 1887 --> Train loss = 0.0098 Train Accuracy = 52.8100 
------> epoch: 1887 --> Test loss = 0.0058 Test Accuracy = 81.6400 
epoch: 1888 --> Train loss = 0.0097 Train Accuracy = 45.2140 
------> epoch: 1888 --> Test loss = 0.0058 Test Accuracy = 81.4600 
epoch: 1889 --> Train loss = 0.0097 Train Accuracy = 48.5420 
------> epoch: 1889 --> Test loss = 0.0059 Test Accuracy = 81.6100 
epoch: 1890 --> Train loss = 0.0097 Train Accuracy = 54.3860 
------> epoch: 1890 --> Test loss = 0.0058 Test Accuracy = 81.6500 
epoch: 1891 --> Train loss = 0.0095 Train Accuracy = 48.6620 
------> epoch: 1891 --> Test loss = 0.0059 Test Accuracy = 81.6800 
epoch: 1892 --> Train loss = 0.0097 Train Accuracy = 45.7560 
------> epoch: 1892 --> Test loss = 0.0058 Test Accuracy = 81.6200 
epoch: 1893 --> Train loss = 0.0095 Train Accuracy = 50.5880 
------> epoch: 1893 --> Test loss = 0.0059 Test Accuracy = 81.1000 
epoch: 1894 --> Train loss = 0.0097 Train Accuracy = 51.0260 
------> epoch: 1894 --> Test loss = 0.0058 Test Accuracy = 81.4600 
epoch: 1895 --> Train loss = 0.0095 Train Accuracy = 54.5620 
------> epoch: 1895 --> Test loss = 0.0059 Test Accuracy = 81.6500 
epoch: 1896 --> Train loss = 0.0097 Train Accuracy = 52.3600 
------> epoch: 1896 --> Test loss = 0.0059 Test Accuracy = 81.5400 
epoch: 1897 --> Train loss = 0.0094 Train Accuracy = 48.6640 
------> epoch: 1897 --> Test loss = 0.0058 Test Accuracy = 81.5900 
epoch: 1898 --> Train loss = 0.0097 Train Accuracy = 49.4620 
------> epoch: 1898 --> Test loss = 0.0060 Test Accuracy = 81.3000 
epoch: 1899 --> Train loss = 0.0098 Train Accuracy = 47.2320 
------> epoch: 1899 --> Test loss = 0.0058 Test Accuracy = 81.4200 
epoch: 1900 --> Train loss = 0.0096 Train Accuracy = 47.7920 
------> epoch: 1900 --> Test loss = 0.0059 Test Accuracy = 81.6100 
epoch: 1901 --> Train loss = 0.0098 Train Accuracy = 49.1800 
------> epoch: 1901 --> Test loss = 0.0058 Test Accuracy = 81.6200 
epoch: 1902 --> Train loss = 0.0098 Train Accuracy = 48.5760 
------> epoch: 1902 --> Test loss = 0.0059 Test Accuracy = 81.2000 
epoch: 1903 --> Train loss = 0.0099 Train Accuracy = 51.3600 
------> epoch: 1903 --> Test loss = 0.0058 Test Accuracy = 81.4900 
epoch: 1904 --> Train loss = 0.0099 Train Accuracy = 48.9140 
------> epoch: 1904 --> Test loss = 0.0059 Test Accuracy = 81.2600 
epoch: 1905 --> Train loss = 0.0097 Train Accuracy = 51.6920 
------> epoch: 1905 --> Test loss = 0.0058 Test Accuracy = 81.4100 
epoch: 1906 --> Train loss = 0.0098 Train Accuracy = 51.7400 
------> epoch: 1906 --> Test loss = 0.0059 Test Accuracy = 81.3300 
epoch: 1907 --> Train loss = 0.0098 Train Accuracy = 45.4820 
------> epoch: 1907 --> Test loss = 0.0059 Test Accuracy = 81.0700 
epoch: 1908 --> Train loss = 0.0096 Train Accuracy = 52.3920 
------> epoch: 1908 --> Test loss = 0.0059 Test Accuracy = 81.6000 
epoch: 1909 --> Train loss = 0.0095 Train Accuracy = 47.8560 
------> epoch: 1909 --> Test loss = 0.0059 Test Accuracy = 81.4000 
epoch: 1910 --> Train loss = 0.0096 Train Accuracy = 51.8220 
------> epoch: 1910 --> Test loss = 0.0059 Test Accuracy = 81.6100 
epoch: 1911 --> Train loss = 0.0098 Train Accuracy = 50.9060 
------> epoch: 1911 --> Test loss = 0.0060 Test Accuracy = 81.2300 
epoch: 1912 --> Train loss = 0.0096 Train Accuracy = 53.4200 
------> epoch: 1912 --> Test loss = 0.0060 Test Accuracy = 81.1600 
epoch: 1913 --> Train loss = 0.0097 Train Accuracy = 48.4540 
------> epoch: 1913 --> Test loss = 0.0058 Test Accuracy = 81.5800 
epoch: 1914 --> Train loss = 0.0096 Train Accuracy = 48.8400 
------> epoch: 1914 --> Test loss = 0.0058 Test Accuracy = 81.3700 
epoch: 1915 --> Train loss = 0.0098 Train Accuracy = 51.1160 
------> epoch: 1915 --> Test loss = 0.0059 Test Accuracy = 81.1600 
epoch: 1916 --> Train loss = 0.0097 Train Accuracy = 51.9080 
------> epoch: 1916 --> Test loss = 0.0058 Test Accuracy = 81.5300 
epoch: 1917 --> Train loss = 0.0098 Train Accuracy = 53.6360 
------> epoch: 1917 --> Test loss = 0.0058 Test Accuracy = 81.5600 
epoch: 1918 --> Train loss = 0.0101 Train Accuracy = 48.7540 
------> epoch: 1918 --> Test loss = 0.0058 Test Accuracy = 81.5700 
epoch: 1919 --> Train loss = 0.0097 Train Accuracy = 53.6360 
------> epoch: 1919 --> Test loss = 0.0058 Test Accuracy = 81.4900 
epoch: 1920 --> Train loss = 0.0097 Train Accuracy = 50.0640 
------> epoch: 1920 --> Test loss = 0.0059 Test Accuracy = 81.5400 
epoch: 1921 --> Train loss = 0.0096 Train Accuracy = 49.5840 
------> epoch: 1921 --> Test loss = 0.0058 Test Accuracy = 81.3600 
epoch: 1922 --> Train loss = 0.0098 Train Accuracy = 50.5700 
------> epoch: 1922 --> Test loss = 0.0059 Test Accuracy = 81.5800 
epoch: 1923 --> Train loss = 0.0096 Train Accuracy = 49.0300 
------> epoch: 1923 --> Test loss = 0.0059 Test Accuracy = 81.4400 
epoch: 1924 --> Train loss = 0.0099 Train Accuracy = 51.0960 
------> epoch: 1924 --> Test loss = 0.0059 Test Accuracy = 81.6000 
epoch: 1925 --> Train loss = 0.0097 Train Accuracy = 49.3400 
------> epoch: 1925 --> Test loss = 0.0059 Test Accuracy = 81.4200 
epoch: 1926 --> Train loss = 0.0095 Train Accuracy = 52.6460 
------> epoch: 1926 --> Test loss = 0.0059 Test Accuracy = 81.3700 
epoch: 1927 --> Train loss = 0.0096 Train Accuracy = 49.2380 
------> epoch: 1927 --> Test loss = 0.0059 Test Accuracy = 81.4500 
epoch: 1928 --> Train loss = 0.0096 Train Accuracy = 48.8520 
------> epoch: 1928 --> Test loss = 0.0059 Test Accuracy = 81.6300 
epoch: 1929 --> Train loss = 0.0099 Train Accuracy = 55.1060 
------> epoch: 1929 --> Test loss = 0.0058 Test Accuracy = 81.7100 
epoch: 1930 --> Train loss = 0.0096 Train Accuracy = 50.0180 
------> epoch: 1930 --> Test loss = 0.0059 Test Accuracy = 81.3000 
epoch: 1931 --> Train loss = 0.0096 Train Accuracy = 50.4860 
------> epoch: 1931 --> Test loss = 0.0058 Test Accuracy = 81.6300 
epoch: 1932 --> Train loss = 0.0099 Train Accuracy = 50.8780 
------> epoch: 1932 --> Test loss = 0.0059 Test Accuracy = 81.6400 
epoch: 1933 --> Train loss = 0.0098 Train Accuracy = 48.7120 
------> epoch: 1933 --> Test loss = 0.0058 Test Accuracy = 81.3600 
epoch: 1934 --> Train loss = 0.0098 Train Accuracy = 48.3920 
------> epoch: 1934 --> Test loss = 0.0059 Test Accuracy = 81.5000 
epoch: 1935 --> Train loss = 0.0097 Train Accuracy = 51.0740 
------> epoch: 1935 --> Test loss = 0.0059 Test Accuracy = 81.4300 
epoch: 1936 --> Train loss = 0.0097 Train Accuracy = 49.2240 
------> epoch: 1936 --> Test loss = 0.0058 Test Accuracy = 81.6000 
epoch: 1937 --> Train loss = 0.0096 Train Accuracy = 50.1800 
------> epoch: 1937 --> Test loss = 0.0059 Test Accuracy = 81.3800 
epoch: 1938 --> Train loss = 0.0098 Train Accuracy = 50.2580 
------> epoch: 1938 --> Test loss = 0.0058 Test Accuracy = 81.4600 
epoch: 1939 --> Train loss = 0.0097 Train Accuracy = 49.4860 
------> epoch: 1939 --> Test loss = 0.0058 Test Accuracy = 81.5900 
epoch: 1940 --> Train loss = 0.0099 Train Accuracy = 55.9520 
------> epoch: 1940 --> Test loss = 0.0058 Test Accuracy = 81.6300 
epoch: 1941 --> Train loss = 0.0099 Train Accuracy = 52.0340 
------> epoch: 1941 --> Test loss = 0.0058 Test Accuracy = 81.4400 
epoch: 1942 --> Train loss = 0.0096 Train Accuracy = 48.8040 
------> epoch: 1942 --> Test loss = 0.0058 Test Accuracy = 81.4800 
epoch: 1943 --> Train loss = 0.0097 Train Accuracy = 51.1400 
------> epoch: 1943 --> Test loss = 0.0058 Test Accuracy = 81.6500 
epoch: 1944 --> Train loss = 0.0097 Train Accuracy = 45.0680 
------> epoch: 1944 --> Test loss = 0.0058 Test Accuracy = 81.6400 
epoch: 1945 --> Train loss = 0.0097 Train Accuracy = 49.2580 
------> epoch: 1945 --> Test loss = 0.0058 Test Accuracy = 81.5100 
epoch: 1946 --> Train loss = 0.0096 Train Accuracy = 48.5720 
------> epoch: 1946 --> Test loss = 0.0058 Test Accuracy = 81.4400 
epoch: 1947 --> Train loss = 0.0098 Train Accuracy = 49.6620 
------> epoch: 1947 --> Test loss = 0.0058 Test Accuracy = 81.5400 
epoch: 1948 --> Train loss = 0.0097 Train Accuracy = 47.6420 
------> epoch: 1948 --> Test loss = 0.0059 Test Accuracy = 81.2700 
epoch: 1949 --> Train loss = 0.0097 Train Accuracy = 51.8400 
------> epoch: 1949 --> Test loss = 0.0058 Test Accuracy = 81.4500 
epoch: 1950 --> Train loss = 0.0097 Train Accuracy = 45.0200 
------> epoch: 1950 --> Test loss = 0.0059 Test Accuracy = 81.2600 
epoch: 1951 --> Train loss = 0.0098 Train Accuracy = 50.2380 
------> epoch: 1951 --> Test loss = 0.0058 Test Accuracy = 81.4200 
epoch: 1952 --> Train loss = 0.0097 Train Accuracy = 53.5080 
------> epoch: 1952 --> Test loss = 0.0058 Test Accuracy = 81.7100 
epoch: 1953 --> Train loss = 0.0095 Train Accuracy = 51.7400 
------> epoch: 1953 --> Test loss = 0.0059 Test Accuracy = 81.6900 
epoch: 1954 --> Train loss = 0.0094 Train Accuracy = 45.2080 
------> epoch: 1954 --> Test loss = 0.0058 Test Accuracy = 81.6500 
epoch: 1955 --> Train loss = 0.0098 Train Accuracy = 49.5400 
------> epoch: 1955 --> Test loss = 0.0059 Test Accuracy = 81.1900 
epoch: 1956 --> Train loss = 0.0097 Train Accuracy = 49.4860 
------> epoch: 1956 --> Test loss = 0.0060 Test Accuracy = 81.2300 
epoch: 1957 --> Train loss = 0.0098 Train Accuracy = 53.5940 
------> epoch: 1957 --> Test loss = 0.0059 Test Accuracy = 81.5700 
epoch: 1958 --> Train loss = 0.0097 Train Accuracy = 48.4000 
------> epoch: 1958 --> Test loss = 0.0060 Test Accuracy = 81.0300 
epoch: 1959 --> Train loss = 0.0096 Train Accuracy = 50.9680 
------> epoch: 1959 --> Test loss = 0.0058 Test Accuracy = 81.5700 
epoch: 1960 --> Train loss = 0.0098 Train Accuracy = 50.6940 
------> epoch: 1960 --> Test loss = 0.0059 Test Accuracy = 81.5700 
epoch: 1961 --> Train loss = 0.0098 Train Accuracy = 47.6500 
------> epoch: 1961 --> Test loss = 0.0058 Test Accuracy = 81.6200 
epoch: 1962 --> Train loss = 0.0098 Train Accuracy = 51.8260 
------> epoch: 1962 --> Test loss = 0.0061 Test Accuracy = 81.1000 
epoch: 1963 --> Train loss = 0.0096 Train Accuracy = 51.3780 
------> epoch: 1963 --> Test loss = 0.0059 Test Accuracy = 81.3400 
epoch: 1964 --> Train loss = 0.0096 Train Accuracy = 47.8040 
------> epoch: 1964 --> Test loss = 0.0058 Test Accuracy = 81.4500 
epoch: 1965 --> Train loss = 0.0097 Train Accuracy = 48.4340 
------> epoch: 1965 --> Test loss = 0.0060 Test Accuracy = 81.1500 
epoch: 1966 --> Train loss = 0.0096 Train Accuracy = 49.1160 
------> epoch: 1966 --> Test loss = 0.0061 Test Accuracy = 80.9300 
epoch: 1967 --> Train loss = 0.0098 Train Accuracy = 49.3300 
------> epoch: 1967 --> Test loss = 0.0059 Test Accuracy = 81.5200 
epoch: 1968 --> Train loss = 0.0097 Train Accuracy = 48.8700 
------> epoch: 1968 --> Test loss = 0.0058 Test Accuracy = 81.2900 
epoch: 1969 --> Train loss = 0.0098 Train Accuracy = 49.0060 
------> epoch: 1969 --> Test loss = 0.0059 Test Accuracy = 81.1600 
epoch: 1970 --> Train loss = 0.0099 Train Accuracy = 50.0720 
------> epoch: 1970 --> Test loss = 0.0058 Test Accuracy = 81.4700 
epoch: 1971 --> Train loss = 0.0096 Train Accuracy = 50.7800 
------> epoch: 1971 --> Test loss = 0.0058 Test Accuracy = 81.3400 
epoch: 1972 --> Train loss = 0.0096 Train Accuracy = 50.6700 
------> epoch: 1972 --> Test loss = 0.0058 Test Accuracy = 81.7000 
epoch: 1973 --> Train loss = 0.0097 Train Accuracy = 50.2160 
------> epoch: 1973 --> Test loss = 0.0058 Test Accuracy = 81.5800 
epoch: 1974 --> Train loss = 0.0097 Train Accuracy = 47.8140 
------> epoch: 1974 --> Test loss = 0.0058 Test Accuracy = 81.3000 
epoch: 1975 --> Train loss = 0.0096 Train Accuracy = 52.5300 
------> epoch: 1975 --> Test loss = 0.0058 Test Accuracy = 81.3400 
epoch: 1976 --> Train loss = 0.0096 Train Accuracy = 49.3200 
------> epoch: 1976 --> Test loss = 0.0058 Test Accuracy = 81.5800 
epoch: 1977 --> Train loss = 0.0099 Train Accuracy = 47.4540 
------> epoch: 1977 --> Test loss = 0.0059 Test Accuracy = 81.4600 
epoch: 1978 --> Train loss = 0.0095 Train Accuracy = 52.1460 
------> epoch: 1978 --> Test loss = 0.0059 Test Accuracy = 81.4700 
epoch: 1979 --> Train loss = 0.0096 Train Accuracy = 51.0100 
------> epoch: 1979 --> Test loss = 0.0058 Test Accuracy = 81.3800 
epoch: 1980 --> Train loss = 0.0097 Train Accuracy = 48.8760 
------> epoch: 1980 --> Test loss = 0.0059 Test Accuracy = 81.2500 
epoch: 1981 --> Train loss = 0.0097 Train Accuracy = 47.6440 
------> epoch: 1981 --> Test loss = 0.0058 Test Accuracy = 81.4500 
epoch: 1982 --> Train loss = 0.0097 Train Accuracy = 51.9420 
------> epoch: 1982 --> Test loss = 0.0058 Test Accuracy = 81.3500 
epoch: 1983 --> Train loss = 0.0097 Train Accuracy = 48.7260 
------> epoch: 1983 --> Test loss = 0.0059 Test Accuracy = 81.1900 
epoch: 1984 --> Train loss = 0.0096 Train Accuracy = 47.4820 
------> epoch: 1984 --> Test loss = 0.0059 Test Accuracy = 81.3000 
epoch: 1985 --> Train loss = 0.0097 Train Accuracy = 52.3480 
------> epoch: 1985 --> Test loss = 0.0059 Test Accuracy = 81.4500 
epoch: 1986 --> Train loss = 0.0098 Train Accuracy = 44.0340 
------> epoch: 1986 --> Test loss = 0.0058 Test Accuracy = 81.5300 
epoch: 1987 --> Train loss = 0.0098 Train Accuracy = 48.4780 
------> epoch: 1987 --> Test loss = 0.0058 Test Accuracy = 81.4900 
epoch: 1988 --> Train loss = 0.0096 Train Accuracy = 50.4640 
------> epoch: 1988 --> Test loss = 0.0058 Test Accuracy = 81.5900 
epoch: 1989 --> Train loss = 0.0097 Train Accuracy = 50.3560 
------> epoch: 1989 --> Test loss = 0.0060 Test Accuracy = 81.0600 
epoch: 1990 --> Train loss = 0.0096 Train Accuracy = 49.4100 
------> epoch: 1990 --> Test loss = 0.0058 Test Accuracy = 81.4100 
epoch: 1991 --> Train loss = 0.0098 Train Accuracy = 50.0360 
------> epoch: 1991 --> Test loss = 0.0059 Test Accuracy = 81.4700 
epoch: 1992 --> Train loss = 0.0098 Train Accuracy = 49.0040 
------> epoch: 1992 --> Test loss = 0.0058 Test Accuracy = 81.5100 
epoch: 1993 --> Train loss = 0.0097 Train Accuracy = 49.4300 
------> epoch: 1993 --> Test loss = 0.0058 Test Accuracy = 81.5200 
epoch: 1994 --> Train loss = 0.0096 Train Accuracy = 48.6460 
------> epoch: 1994 --> Test loss = 0.0058 Test Accuracy = 81.5900 
epoch: 1995 --> Train loss = 0.0095 Train Accuracy = 48.6520 
------> epoch: 1995 --> Test loss = 0.0059 Test Accuracy = 81.1900 
epoch: 1996 --> Train loss = 0.0096 Train Accuracy = 49.9860 
------> epoch: 1996 --> Test loss = 0.0058 Test Accuracy = 81.2900 
epoch: 1997 --> Train loss = 0.0096 Train Accuracy = 48.7780 
------> epoch: 1997 --> Test loss = 0.0058 Test Accuracy = 81.4600 
epoch: 1998 --> Train loss = 0.0097 Train Accuracy = 48.4200 
------> epoch: 1998 --> Test loss = 0.0059 Test Accuracy = 81.4400 
epoch: 1999 --> Train loss = 0.0096 Train Accuracy = 47.7300 
------> epoch: 1999 --> Test loss = 0.0059 Test Accuracy = 81.5400 
Best Accuracy =  tensor(81.7100)