ocls-CIFAR100-seed0.out

nohup: ignoring input
INFO:root:called-params cls_configs/cls-cifar100-multi.yaml
INFO:root:loaded params....
{   'data': {   'batch_size': 128,
                'crop_size': 150,
                'model_name': 'vit_base',
                'num_classes': 100,
                'patch_size': 15,
                'probe_checkpoints': True,
                'probe_prefix': 'jepa-stl',
                'train_dataset_path': 'datasets/stl10/train_images',
                'val_dataset_path': 'datasets/stl10/val_images'},
    'logging': {   'checkpoint_freq': 1000,
                   'save_path': 'classifiers/jepa-stl-l2-seed2-classifier-pretrained-vitb'},
    'message': 'Multi classification back to back',
    'meta': {'device': 'cuda:0'},
    'multi_probing': [   'logs_STL/stl-l2-pkt-chunks-seed0/',
                         'logs_STL/stl-l2-seed0'],
    'optimization': {   'epochs': 200,
                        'lr': 0.001,
                        'use_last_n_blocks': 1,
                        'use_normalization': False}}
INFO:root:working on file logs_STL/stl-l2-pkt-chunks-seed0/jepa-stl-l2-pkt-chunks-seed0-ep100.pth.tar ...
Directory logs_STL/stl-l2-pkt-chunks-seed0/classifiers for saving the classifiers is now present
VisionTransformer(
  (patch_embed): PatchEmbed(
    (proj): Conv2d(3, 768, kernel_size=(15, 15), stride=(15, 15))
  )
  (blocks): ModuleList(
    (0-11): 12 x Block(
      (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (attn): Attention(
        (qkv): Linear(in_features=768, out_features=2304, bias=True)
        (attn_drop): Dropout(p=0.0, inplace=False)
        (proj): Linear(in_features=768, out_features=768, bias=True)
        (proj_drop): Dropout(p=0.0, inplace=False)
      )
      (drop_path): Identity()
      (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (mlp): MLP(
        (fc1): Linear(in_features=768, out_features=3072, bias=True)
        (act): GELU(approximate='none')
        (fc2): Linear(in_features=3072, out_features=768, bias=True)
        (drop): Dropout(p=0.0, inplace=False)
      )
    )
  )
  (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
)
Extracting features and saving them in memory..
Extracting features...
Done extracting features...
 Creating datasets
Created datasets...
 Creating data loaders
Done with data loaders
Commencing training
Epoch: 1/200 Train accuracy: 7.20800e-02 Validation accuracy: 1.06200e-01 Loss 3.56738e-02 Validation Loss 3.58281e-02 Time taken: 9.80 seconds 
Epoch: 2/200 Train accuracy: 1.10700e-01 Validation accuracy: 1.21700e-01 Loss 3.54057e-02 Validation Loss 3.57031e-02 Time taken: 9.71 seconds 
Epoch: 3/200 Train accuracy: 1.25580e-01 Validation accuracy: 1.28400e-01 Loss 3.52970e-02 Validation Loss 3.56311e-02 Time taken: 9.75 seconds 
Epoch: 4/200 Train accuracy: 1.34740e-01 Validation accuracy: 1.35600e-01 Loss 3.52290e-02 Validation Loss 3.55788e-02 Time taken: 9.83 seconds 
Epoch: 5/200 Train accuracy: 1.39320e-01 Validation accuracy: 1.40400e-01 Loss 3.51849e-02 Validation Loss 3.55397e-02 Time taken: 9.95 seconds 
Epoch: 6/200 Train accuracy: 1.46160e-01 Validation accuracy: 1.43400e-01 Loss 3.51417e-02 Validation Loss 3.54999e-02 Time taken: 9.34 seconds 
Epoch: 7/200 Train accuracy: 1.50680e-01 Validation accuracy: 1.50100e-01 Loss 3.51012e-02 Validation Loss 3.54669e-02 Time taken: 9.96 seconds 
Epoch: 8/200 Train accuracy: 1.54360e-01 Validation accuracy: 1.49500e-01 Loss 3.50726e-02 Validation Loss 3.54446e-02 Time taken: 10.29 seconds 
Epoch: 9/200 Train accuracy: 1.57640e-01 Validation accuracy: 1.54100e-01 Loss 3.50496e-02 Validation Loss 3.54234e-02 Time taken: 9.90 seconds 
Epoch: 10/200 Train accuracy: 1.59440e-01 Validation accuracy: 1.52900e-01 Loss 3.50293e-02 Validation Loss 3.54160e-02 Time taken: 10.00 seconds 
Epoch: 11/200 Train accuracy: 1.60840e-01 Validation accuracy: 1.55400e-01 Loss 3.50133e-02 Validation Loss 3.54007e-02 Time taken: 10.62 seconds 
Epoch: 12/200 Train accuracy: 1.62940e-01 Validation accuracy: 1.55600e-01 Loss 3.49982e-02 Validation Loss 3.53886e-02 Time taken: 10.15 seconds 
Epoch: 13/200 Train accuracy: 1.64520e-01 Validation accuracy: 1.59200e-01 Loss 3.49835e-02 Validation Loss 3.53732e-02 Time taken: 9.44 seconds 
Epoch: 14/200 Train accuracy: 1.65380e-01 Validation accuracy: 1.57900e-01 Loss 3.49721e-02 Validation Loss 3.53685e-02 Time taken: 9.54 seconds 
Epoch: 15/200 Train accuracy: 1.66360e-01 Validation accuracy: 1.58900e-01 Loss 3.49609e-02 Validation Loss 3.53543e-02 Time taken: 9.83 seconds 
Epoch: 16/200 Train accuracy: 1.67440e-01 Validation accuracy: 1.60100e-01 Loss 3.49518e-02 Validation Loss 3.53486e-02 Time taken: 10.34 seconds 
Epoch: 17/200 Train accuracy: 1.69020e-01 Validation accuracy: 1.60700e-01 Loss 3.49407e-02 Validation Loss 3.53417e-02 Time taken: 9.69 seconds 
Epoch: 18/200 Train accuracy: 1.69860e-01 Validation accuracy: 1.61700e-01 Loss 3.49319e-02 Validation Loss 3.53363e-02 Time taken: 9.57 seconds 
Epoch: 19/200 Train accuracy: 1.70580e-01 Validation accuracy: 1.63200e-01 Loss 3.49239e-02 Validation Loss 3.53271e-02 Time taken: 10.12 seconds 
Epoch: 20/200 Train accuracy: 1.71680e-01 Validation accuracy: 1.64000e-01 Loss 3.49158e-02 Validation Loss 3.53222e-02 Time taken: 9.55 seconds 
Epoch: 21/200 Train accuracy: 1.73640e-01 Validation accuracy: 1.64000e-01 Loss 3.49013e-02 Validation Loss 3.53036e-02 Time taken: 10.24 seconds 
Epoch: 22/200 Train accuracy: 1.77060e-01 Validation accuracy: 1.69400e-01 Loss 3.48765e-02 Validation Loss 3.52763e-02 Time taken: 10.02 seconds 
Epoch: 23/200 Train accuracy: 1.80080e-01 Validation accuracy: 1.69800e-01 Loss 3.48603e-02 Validation Loss 3.52660e-02 Time taken: 9.52 seconds 
Epoch: 24/200 Train accuracy: 1.80840e-01 Validation accuracy: 1.71400e-01 Loss 3.48498e-02 Validation Loss 3.52603e-02 Time taken: 9.96 seconds 
Epoch: 25/200 Train accuracy: 1.81560e-01 Validation accuracy: 1.73400e-01 Loss 3.48411e-02 Validation Loss 3.52463e-02 Time taken: 9.65 seconds 
Epoch: 26/200 Train accuracy: 1.83680e-01 Validation accuracy: 1.74400e-01 Loss 3.48315e-02 Validation Loss 3.52396e-02 Time taken: 9.61 seconds 
Epoch: 27/200 Train accuracy: 1.84060e-01 Validation accuracy: 1.75100e-01 Loss 3.48229e-02 Validation Loss 3.52342e-02 Time taken: 9.07 seconds 
Epoch: 28/200 Train accuracy: 1.84560e-01 Validation accuracy: 1.75800e-01 Loss 3.48168e-02 Validation Loss 3.52301e-02 Time taken: 9.43 seconds 
Epoch: 29/200 Train accuracy: 1.87140e-01 Validation accuracy: 1.76500e-01 Loss 3.48088e-02 Validation Loss 3.52207e-02 Time taken: 9.62 seconds 
Epoch: 30/200 Train accuracy: 1.86740e-01 Validation accuracy: 1.74400e-01 Loss 3.48020e-02 Validation Loss 3.52203e-02 Time taken: 9.52 seconds 
Epoch: 31/200 Train accuracy: 1.87800e-01 Validation accuracy: 1.76400e-01 Loss 3.47943e-02 Validation Loss 3.52076e-02 Time taken: 9.71 seconds 
Epoch: 32/200 Train accuracy: 1.89020e-01 Validation accuracy: 1.76400e-01 Loss 3.47857e-02 Validation Loss 3.52095e-02 Time taken: 9.76 seconds 
Epoch: 33/200 Train accuracy: 1.90140e-01 Validation accuracy: 1.79900e-01 Loss 3.47791e-02 Validation Loss 3.51969e-02 Time taken: 9.43 seconds 
Epoch: 34/200 Train accuracy: 1.90980e-01 Validation accuracy: 1.80000e-01 Loss 3.47720e-02 Validation Loss 3.51978e-02 Time taken: 10.17 seconds 
Epoch: 35/200 Train accuracy: 1.91700e-01 Validation accuracy: 1.80100e-01 Loss 3.47655e-02 Validation Loss 3.51922e-02 Time taken: 9.79 seconds 
Epoch: 36/200 Train accuracy: 1.92840e-01 Validation accuracy: 1.81000e-01 Loss 3.47598e-02 Validation Loss 3.51849e-02 Time taken: 10.16 seconds 
Epoch: 37/200 Train accuracy: 1.95600e-01 Validation accuracy: 1.82600e-01 Loss 3.47450e-02 Validation Loss 3.51681e-02 Time taken: 10.01 seconds 
Epoch: 38/200 Train accuracy: 1.97960e-01 Validation accuracy: 1.85600e-01 Loss 3.47303e-02 Validation Loss 3.51457e-02 Time taken: 9.60 seconds 
Epoch: 39/200 Train accuracy: 1.99440e-01 Validation accuracy: 1.88200e-01 Loss 3.47110e-02 Validation Loss 3.51332e-02 Time taken: 9.73 seconds 
Epoch: 40/200 Train accuracy: 2.01360e-01 Validation accuracy: 1.89700e-01 Loss 3.47009e-02 Validation Loss 3.51269e-02 Time taken: 10.68 seconds 
Epoch: 41/200 Train accuracy: 2.02620e-01 Validation accuracy: 1.91400e-01 Loss 3.46901e-02 Validation Loss 3.51188e-02 Time taken: 10.01 seconds 
Epoch: 42/200 Train accuracy: 2.05580e-01 Validation accuracy: 1.91600e-01 Loss 3.46769e-02 Validation Loss 3.51067e-02 Time taken: 9.60 seconds 
Epoch: 43/200 Train accuracy: 2.05520e-01 Validation accuracy: 1.94700e-01 Loss 3.46688e-02 Validation Loss 3.50948e-02 Time taken: 9.72 seconds 
Epoch: 44/200 Train accuracy: 2.06800e-01 Validation accuracy: 1.92000e-01 Loss 3.46617e-02 Validation Loss 3.50971e-02 Time taken: 9.73 seconds 
Epoch: 45/200 Train accuracy: 2.07100e-01 Validation accuracy: 1.92800e-01 Loss 3.46566e-02 Validation Loss 3.50953e-02 Time taken: 9.64 seconds 
Epoch: 46/200 Train accuracy: 2.07540e-01 Validation accuracy: 1.94100e-01 Loss 3.46524e-02 Validation Loss 3.50870e-02 Time taken: 9.80 seconds 
Epoch: 47/200 Train accuracy: 2.08460e-01 Validation accuracy: 1.94900e-01 Loss 3.46454e-02 Validation Loss 3.50845e-02 Time taken: 9.35 seconds 
Epoch: 48/200 Train accuracy: 2.09400e-01 Validation accuracy: 1.94200e-01 Loss 3.46415e-02 Validation Loss 3.50810e-02 Time taken: 9.72 seconds 
Epoch: 49/200 Train accuracy: 2.09740e-01 Validation accuracy: 1.93500e-01 Loss 3.46356e-02 Validation Loss 3.50815e-02 Time taken: 9.73 seconds 
Epoch: 50/200 Train accuracy: 2.10360e-01 Validation accuracy: 1.95800e-01 Loss 3.46317e-02 Validation Loss 3.50709e-02 Time taken: 9.52 seconds 
Epoch: 51/200 Train accuracy: 2.11380e-01 Validation accuracy: 1.97400e-01 Loss 3.46259e-02 Validation Loss 3.50693e-02 Time taken: 10.28 seconds 
Epoch: 52/200 Train accuracy: 2.10800e-01 Validation accuracy: 1.97800e-01 Loss 3.46228e-02 Validation Loss 3.50664e-02 Time taken: 9.67 seconds 
Epoch: 53/200 Train accuracy: 2.11740e-01 Validation accuracy: 1.95600e-01 Loss 3.46184e-02 Validation Loss 3.50672e-02 Time taken: 10.07 seconds 
Epoch: 54/200 Train accuracy: 2.13100e-01 Validation accuracy: 1.95800e-01 Loss 3.46137e-02 Validation Loss 3.50623e-02 Time taken: 9.71 seconds 
Epoch: 55/200 Train accuracy: 2.13140e-01 Validation accuracy: 1.96500e-01 Loss 3.46081e-02 Validation Loss 3.50595e-02 Time taken: 9.97 seconds 
Epoch: 56/200 Train accuracy: 2.14180e-01 Validation accuracy: 1.99300e-01 Loss 3.46035e-02 Validation Loss 3.50500e-02 Time taken: 9.85 seconds 
Epoch: 57/200 Train accuracy: 2.15640e-01 Validation accuracy: 1.97900e-01 Loss 3.45946e-02 Validation Loss 3.50522e-02 Time taken: 9.91 seconds 
Epoch: 58/200 Train accuracy: 2.16520e-01 Validation accuracy: 1.99800e-01 Loss 3.45893e-02 Validation Loss 3.50413e-02 Time taken: 9.58 seconds 
Epoch: 59/200 Train accuracy: 2.16460e-01 Validation accuracy: 1.99200e-01 Loss 3.45855e-02 Validation Loss 3.50424e-02 Time taken: 10.27 seconds 
Epoch: 60/200 Train accuracy: 2.17500e-01 Validation accuracy: 1.99200e-01 Loss 3.45812e-02 Validation Loss 3.50381e-02 Time taken: 9.24 seconds 
Epoch: 61/200 Train accuracy: 2.16780e-01 Validation accuracy: 2.00200e-01 Loss 3.45781e-02 Validation Loss 3.50357e-02 Time taken: 10.28 seconds 
Epoch: 62/200 Train accuracy: 2.17820e-01 Validation accuracy: 2.00600e-01 Loss 3.45746e-02 Validation Loss 3.50289e-02 Time taken: 9.96 seconds 
Epoch: 63/200 Train accuracy: 2.17820e-01 Validation accuracy: 2.00900e-01 Loss 3.45711e-02 Validation Loss 3.50328e-02 Time taken: 10.23 seconds 
Epoch: 64/200 Train accuracy: 2.18320e-01 Validation accuracy: 1.99200e-01 Loss 3.45673e-02 Validation Loss 3.50301e-02 Time taken: 9.27 seconds 
Epoch: 65/200 Train accuracy: 2.18860e-01 Validation accuracy: 2.02000e-01 Loss 3.45650e-02 Validation Loss 3.50243e-02 Time taken: 10.00 seconds 
Epoch: 66/200 Train accuracy: 2.19480e-01 Validation accuracy: 2.02400e-01 Loss 3.45617e-02 Validation Loss 3.50214e-02 Time taken: 10.38 seconds 
Epoch: 67/200 Train accuracy: 2.19600e-01 Validation accuracy: 2.02500e-01 Loss 3.45578e-02 Validation Loss 3.50202e-02 Time taken: 9.99 seconds 
Epoch: 68/200 Train accuracy: 2.20900e-01 Validation accuracy: 2.02500e-01 Loss 3.45561e-02 Validation Loss 3.50193e-02 Time taken: 11.03 seconds 
Epoch: 69/200 Train accuracy: 2.21180e-01 Validation accuracy: 2.03200e-01 Loss 3.45521e-02 Validation Loss 3.50174e-02 Time taken: 9.61 seconds 
Epoch: 70/200 Train accuracy: 2.20380e-01 Validation accuracy: 2.03400e-01 Loss 3.45493e-02 Validation Loss 3.50171e-02 Time taken: 9.74 seconds 
Epoch: 71/200 Train accuracy: 2.20820e-01 Validation accuracy: 2.03200e-01 Loss 3.45473e-02 Validation Loss 3.50137e-02 Time taken: 10.28 seconds 
Epoch: 72/200 Train accuracy: 2.21420e-01 Validation accuracy: 2.04000e-01 Loss 3.45446e-02 Validation Loss 3.50089e-02 Time taken: 10.18 seconds 
Epoch: 73/200 Train accuracy: 2.21720e-01 Validation accuracy: 2.03400e-01 Loss 3.45402e-02 Validation Loss 3.50121e-02 Time taken: 10.34 seconds 
Epoch: 74/200 Train accuracy: 2.22220e-01 Validation accuracy: 2.03600e-01 Loss 3.45400e-02 Validation Loss 3.50087e-02 Time taken: 9.62 seconds 
Epoch: 75/200 Train accuracy: 2.23060e-01 Validation accuracy: 2.04400e-01 Loss 3.45364e-02 Validation Loss 3.50059e-02 Time taken: 9.87 seconds 
Epoch: 76/200 Train accuracy: 2.22900e-01 Validation accuracy: 2.03200e-01 Loss 3.45351e-02 Validation Loss 3.50064e-02 Time taken: 9.88 seconds 
Epoch: 77/200 Train accuracy: 2.22520e-01 Validation accuracy: 2.05100e-01 Loss 3.45325e-02 Validation Loss 3.50037e-02 Time taken: 9.83 seconds 
Epoch: 78/200 Train accuracy: 2.22780e-01 Validation accuracy: 2.04200e-01 Loss 3.45302e-02 Validation Loss 3.50026e-02 Time taken: 9.98 seconds 
Epoch: 79/200 Train accuracy: 2.23480e-01 Validation accuracy: 2.03900e-01 Loss 3.45283e-02 Validation Loss 3.49989e-02 Time taken: 10.09 seconds 
Epoch: 80/200 Train accuracy: 2.23440e-01 Validation accuracy: 2.03200e-01 Loss 3.45245e-02 Validation Loss 3.50050e-02 Time taken: 9.82 seconds 
Epoch: 81/200 Train accuracy: 2.24620e-01 Validation accuracy: 2.03800e-01 Loss 3.45220e-02 Validation Loss 3.50049e-02 Time taken: 9.68 seconds 
Epoch: 82/200 Train accuracy: 2.25100e-01 Validation accuracy: 2.04400e-01 Loss 3.45190e-02 Validation Loss 3.50003e-02 Time taken: 9.63 seconds 
Epoch: 83/200 Train accuracy: 2.24820e-01 Validation accuracy: 2.06300e-01 Loss 3.45167e-02 Validation Loss 3.49895e-02 Time taken: 9.78 seconds 
Epoch: 84/200 Train accuracy: 2.26060e-01 Validation accuracy: 2.04800e-01 Loss 3.45123e-02 Validation Loss 3.49886e-02 Time taken: 9.92 seconds 
Epoch: 85/200 Train accuracy: 2.24820e-01 Validation accuracy: 2.04800e-01 Loss 3.45119e-02 Validation Loss 3.49927e-02 Time taken: 9.72 seconds 
Epoch: 86/200 Train accuracy: 2.26460e-01 Validation accuracy: 2.06400e-01 Loss 3.45105e-02 Validation Loss 3.49854e-02 Time taken: 9.97 seconds 
Epoch: 87/200 Train accuracy: 2.26500e-01 Validation accuracy: 2.06600e-01 Loss 3.45082e-02 Validation Loss 3.49867e-02 Time taken: 9.91 seconds 
Epoch: 88/200 Train accuracy: 2.26660e-01 Validation accuracy: 2.06400e-01 Loss 3.45064e-02 Validation Loss 3.49865e-02 Time taken: 9.80 seconds 
Epoch: 89/200 Train accuracy: 2.27460e-01 Validation accuracy: 2.07300e-01 Loss 3.45028e-02 Validation Loss 3.49859e-02 Time taken: 9.86 seconds 
Epoch: 90/200 Train accuracy: 2.27140e-01 Validation accuracy: 2.07400e-01 Loss 3.45026e-02 Validation Loss 3.49817e-02 Time taken: 9.60 seconds 
Epoch: 91/200 Train accuracy: 2.27660e-01 Validation accuracy: 2.07700e-01 Loss 3.45000e-02 Validation Loss 3.49805e-02 Time taken: 9.66 seconds 
Epoch: 92/200 Train accuracy: 2.27940e-01 Validation accuracy: 2.07000e-01 Loss 3.44978e-02 Validation Loss 3.49813e-02 Time taken: 9.89 seconds 
Epoch: 93/200 Train accuracy: 2.28480e-01 Validation accuracy: 2.07600e-01 Loss 3.44956e-02 Validation Loss 3.49750e-02 Time taken: 9.50 seconds 
Epoch: 94/200 Train accuracy: 2.28500e-01 Validation accuracy: 2.07700e-01 Loss 3.44943e-02 Validation Loss 3.49725e-02 Time taken: 9.78 seconds 
Epoch: 95/200 Train accuracy: 2.28940e-01 Validation accuracy: 2.07300e-01 Loss 3.44921e-02 Validation Loss 3.49716e-02 Time taken: 10.27 seconds 
Epoch: 96/200 Train accuracy: 2.28740e-01 Validation accuracy: 2.07700e-01 Loss 3.44899e-02 Validation Loss 3.49789e-02 Time taken: 10.04 seconds 
Epoch: 97/200 Train accuracy: 2.29400e-01 Validation accuracy: 2.06500e-01 Loss 3.44885e-02 Validation Loss 3.49776e-02 Time taken: 10.13 seconds 
Epoch: 98/200 Train accuracy: 2.29480e-01 Validation accuracy: 2.08600e-01 Loss 3.44881e-02 Validation Loss 3.49706e-02 Time taken: 9.73 seconds 
Epoch: 99/200 Train accuracy: 2.29840e-01 Validation accuracy: 2.08200e-01 Loss 3.44862e-02 Validation Loss 3.49750e-02 Time taken: 9.57 seconds 
Epoch: 100/200 Train accuracy: 2.30140e-01 Validation accuracy: 2.08300e-01 Loss 3.44842e-02 Validation Loss 3.49691e-02 Time taken: 10.03 seconds 
Epoch: 101/200 Train accuracy: 2.30200e-01 Validation accuracy: 2.08700e-01 Loss 3.44825e-02 Validation Loss 3.49734e-02 Time taken: 10.58 seconds 
Epoch: 102/200 Train accuracy: 2.30820e-01 Validation accuracy: 2.08100e-01 Loss 3.44806e-02 Validation Loss 3.49682e-02 Time taken: 10.01 seconds 
Epoch: 103/200 Train accuracy: 2.30780e-01 Validation accuracy: 2.08900e-01 Loss 3.44800e-02 Validation Loss 3.49699e-02 Time taken: 9.99 seconds 
Epoch: 104/200 Train accuracy: 2.31060e-01 Validation accuracy: 2.07000e-01 Loss 3.44771e-02 Validation Loss 3.49685e-02 Time taken: 10.46 seconds 
Epoch: 105/200 Train accuracy: 2.31320e-01 Validation accuracy: 2.09100e-01 Loss 3.44768e-02 Validation Loss 3.49661e-02 Time taken: 10.41 seconds 
Epoch: 106/200 Train accuracy: 2.31380e-01 Validation accuracy: 2.10900e-01 Loss 3.44746e-02 Validation Loss 3.49608e-02 Time taken: 9.71 seconds 
Epoch: 107/200 Train accuracy: 2.31060e-01 Validation accuracy: 2.09800e-01 Loss 3.44741e-02 Validation Loss 3.49651e-02 Time taken: 9.95 seconds 
Epoch: 108/200 Train accuracy: 2.31940e-01 Validation accuracy: 2.10200e-01 Loss 3.44708e-02 Validation Loss 3.49613e-02 Time taken: 9.86 seconds 
Epoch: 109/200 Train accuracy: 2.31560e-01 Validation accuracy: 2.09300e-01 Loss 3.44701e-02 Validation Loss 3.49594e-02 Time taken: 9.99 seconds 
Epoch: 110/200 Train accuracy: 2.32120e-01 Validation accuracy: 2.07900e-01 Loss 3.44679e-02 Validation Loss 3.49609e-02 Time taken: 9.59 seconds 
Epoch: 111/200 Train accuracy: 2.31760e-01 Validation accuracy: 2.07400e-01 Loss 3.44670e-02 Validation Loss 3.49673e-02 Time taken: 9.27 seconds 
Epoch: 112/200 Train accuracy: 2.32720e-01 Validation accuracy: 2.09400e-01 Loss 3.44677e-02 Validation Loss 3.49614e-02 Time taken: 10.57 seconds 
Epoch: 113/200 Train accuracy: 2.31740e-01 Validation accuracy: 2.10200e-01 Loss 3.44658e-02 Validation Loss 3.49601e-02 Time taken: 9.94 seconds 
Epoch: 114/200 Train accuracy: 2.32420e-01 Validation accuracy: 2.10800e-01 Loss 3.44632e-02 Validation Loss 3.49572e-02 Time taken: 9.47 seconds 
Epoch: 115/200 Train accuracy: 2.33360e-01 Validation accuracy: 2.09100e-01 Loss 3.44617e-02 Validation Loss 3.49572e-02 Time taken: 9.89 seconds 
Epoch: 116/200 Train accuracy: 2.33480e-01 Validation accuracy: 2.09500e-01 Loss 3.44592e-02 Validation Loss 3.49614e-02 Time taken: 9.39 seconds 
Epoch: 117/200 Train accuracy: 2.33580e-01 Validation accuracy: 2.09700e-01 Loss 3.44564e-02 Validation Loss 3.49555e-02 Time taken: 10.05 seconds 
Epoch: 118/200 Train accuracy: 2.34700e-01 Validation accuracy: 2.12300e-01 Loss 3.44551e-02 Validation Loss 3.49506e-02 Time taken: 9.69 seconds 
Epoch: 119/200 Train accuracy: 2.35500e-01 Validation accuracy: 2.12200e-01 Loss 3.44511e-02 Validation Loss 3.49489e-02 Time taken: 9.92 seconds 
Epoch: 120/200 Train accuracy: 2.35980e-01 Validation accuracy: 2.12200e-01 Loss 3.44467e-02 Validation Loss 3.49524e-02 Time taken: 9.85 seconds 
Epoch: 121/200 Train accuracy: 2.35960e-01 Validation accuracy: 2.10100e-01 Loss 3.44460e-02 Validation Loss 3.49528e-02 Time taken: 10.16 seconds 
Epoch: 122/200 Train accuracy: 2.35760e-01 Validation accuracy: 2.14900e-01 Loss 3.44431e-02 Validation Loss 3.49407e-02 Time taken: 10.14 seconds 
Epoch: 123/200 Train accuracy: 2.36980e-01 Validation accuracy: 2.12400e-01 Loss 3.44402e-02 Validation Loss 3.49425e-02 Time taken: 9.77 seconds 
Epoch: 124/200 Train accuracy: 2.36820e-01 Validation accuracy: 2.12000e-01 Loss 3.44369e-02 Validation Loss 3.49427e-02 Time taken: 10.07 seconds 
Epoch: 125/200 Train accuracy: 2.37180e-01 Validation accuracy: 2.12200e-01 Loss 3.44356e-02 Validation Loss 3.49382e-02 Time taken: 9.70 seconds 
Epoch: 126/200 Train accuracy: 2.38260e-01 Validation accuracy: 2.13400e-01 Loss 3.44326e-02 Validation Loss 3.49356e-02 Time taken: 9.63 seconds 
Epoch: 127/200 Train accuracy: 2.38600e-01 Validation accuracy: 2.13300e-01 Loss 3.44310e-02 Validation Loss 3.49367e-02 Time taken: 9.91 seconds 
Epoch: 128/200 Train accuracy: 2.39000e-01 Validation accuracy: 2.13500e-01 Loss 3.44285e-02 Validation Loss 3.49288e-02 Time taken: 9.89 seconds 
Epoch: 129/200 Train accuracy: 2.39200e-01 Validation accuracy: 2.15400e-01 Loss 3.44274e-02 Validation Loss 3.49289e-02 Time taken: 10.27 seconds 
Epoch: 130/200 Train accuracy: 2.38560e-01 Validation accuracy: 2.16100e-01 Loss 3.44262e-02 Validation Loss 3.49307e-02 Time taken: 10.14 seconds 
Epoch: 131/200 Train accuracy: 2.39400e-01 Validation accuracy: 2.14500e-01 Loss 3.44228e-02 Validation Loss 3.49282e-02 Time taken: 9.79 seconds 
Epoch: 132/200 Train accuracy: 2.39640e-01 Validation accuracy: 2.15700e-01 Loss 3.44215e-02 Validation Loss 3.49269e-02 Time taken: 10.15 seconds 
Epoch: 133/200 Train accuracy: 2.39780e-01 Validation accuracy: 2.16000e-01 Loss 3.44198e-02 Validation Loss 3.49247e-02 Time taken: 10.05 seconds 
Epoch: 134/200 Train accuracy: 2.40380e-01 Validation accuracy: 2.14600e-01 Loss 3.44193e-02 Validation Loss 3.49258e-02 Time taken: 9.53 seconds 
Epoch: 135/200 Train accuracy: 2.39880e-01 Validation accuracy: 2.15100e-01 Loss 3.44184e-02 Validation Loss 3.49261e-02 Time taken: 9.83 seconds 
Epoch: 136/200 Train accuracy: 2.40220e-01 Validation accuracy: 2.14400e-01 Loss 3.44159e-02 Validation Loss 3.49237e-02 Time taken: 9.69 seconds 
Epoch: 137/200 Train accuracy: 2.41100e-01 Validation accuracy: 2.14500e-01 Loss 3.44142e-02 Validation Loss 3.49261e-02 Time taken: 10.01 seconds 
Epoch: 138/200 Train accuracy: 2.40540e-01 Validation accuracy: 2.14800e-01 Loss 3.44131e-02 Validation Loss 3.49248e-02 Time taken: 9.47 seconds 
Epoch: 139/200 Train accuracy: 2.40980e-01 Validation accuracy: 2.15600e-01 Loss 3.44122e-02 Validation Loss 3.49241e-02 Time taken: 10.16 seconds 
Epoch: 140/200 Train accuracy: 2.40480e-01 Validation accuracy: 2.15600e-01 Loss 3.44113e-02 Validation Loss 3.49187e-02 Time taken: 10.38 seconds 
Epoch: 141/200 Train accuracy: 2.40900e-01 Validation accuracy: 2.16100e-01 Loss 3.44097e-02 Validation Loss 3.49234e-02 Time taken: 9.80 seconds 
Epoch: 142/200 Train accuracy: 2.42200e-01 Validation accuracy: 2.15300e-01 Loss 3.44062e-02 Validation Loss 3.49242e-02 Time taken: 9.90 seconds 
Epoch: 143/200 Train accuracy: 2.41360e-01 Validation accuracy: 2.14400e-01 Loss 3.44081e-02 Validation Loss 3.49212e-02 Time taken: 9.68 seconds 
Epoch: 144/200 Train accuracy: 2.41760e-01 Validation accuracy: 2.15400e-01 Loss 3.44056e-02 Validation Loss 3.49187e-02 Time taken: 9.90 seconds 
Epoch: 145/200 Train accuracy: 2.42640e-01 Validation accuracy: 2.14500e-01 Loss 3.44041e-02 Validation Loss 3.49201e-02 Time taken: 10.26 seconds 
Epoch: 146/200 Train accuracy: 2.42000e-01 Validation accuracy: 2.15400e-01 Loss 3.44033e-02 Validation Loss 3.49166e-02 Time taken: 10.05 seconds 
Epoch: 147/200 Train accuracy: 2.43740e-01 Validation accuracy: 2.14700e-01 Loss 3.44024e-02 Validation Loss 3.49179e-02 Time taken: 9.33 seconds 
Epoch: 148/200 Train accuracy: 2.43160e-01 Validation accuracy: 2.17700e-01 Loss 3.44006e-02 Validation Loss 3.49154e-02 Time taken: 9.60 seconds 
Epoch: 149/200 Train accuracy: 2.42440e-01 Validation accuracy: 2.16600e-01 Loss 3.43998e-02 Validation Loss 3.49147e-02 Time taken: 10.43 seconds 
Epoch: 150/200 Train accuracy: 2.42900e-01 Validation accuracy: 2.16700e-01 Loss 3.43983e-02 Validation Loss 3.49123e-02 Time taken: 9.97 seconds 
Epoch: 151/200 Train accuracy: 2.42300e-01 Validation accuracy: 2.16500e-01 Loss 3.43973e-02 Validation Loss 3.49137e-02 Time taken: 9.83 seconds 
Epoch: 152/200 Train accuracy: 2.42460e-01 Validation accuracy: 2.17400e-01 Loss 3.43975e-02 Validation Loss 3.49122e-02 Time taken: 9.93 seconds 
Epoch: 153/200 Train accuracy: 2.43020e-01 Validation accuracy: 2.16000e-01 Loss 3.43958e-02 Validation Loss 3.49066e-02 Time taken: 9.71 seconds 
Epoch: 154/200 Train accuracy: 2.43720e-01 Validation accuracy: 2.16600e-01 Loss 3.43923e-02 Validation Loss 3.49142e-02 Time taken: 9.76 seconds 
Epoch: 155/200 Train accuracy: 2.43260e-01 Validation accuracy: 2.18400e-01 Loss 3.43934e-02 Validation Loss 3.49075e-02 Time taken: 9.28 seconds 
Epoch: 156/200 Train accuracy: 2.43440e-01 Validation accuracy: 2.16900e-01 Loss 3.43907e-02 Validation Loss 3.49102e-02 Time taken: 9.34 seconds 
Epoch: 157/200 Train accuracy: 2.43860e-01 Validation accuracy: 2.16600e-01 Loss 3.43898e-02 Validation Loss 3.49055e-02 Time taken: 9.78 seconds 
Epoch: 158/200 Train accuracy: 2.43400e-01 Validation accuracy: 2.18100e-01 Loss 3.43895e-02 Validation Loss 3.49097e-02 Time taken: 9.90 seconds 
Epoch: 159/200 Train accuracy: 2.43760e-01 Validation accuracy: 2.16600e-01 Loss 3.43893e-02 Validation Loss 3.49067e-02 Time taken: 9.86 seconds 
Epoch: 160/200 Train accuracy: 2.44180e-01 Validation accuracy: 2.16500e-01 Loss 3.43868e-02 Validation Loss 3.49034e-02 Time taken: 9.90 seconds 
Epoch: 161/200 Train accuracy: 2.44380e-01 Validation accuracy: 2.19200e-01 Loss 3.43874e-02 Validation Loss 3.49054e-02 Time taken: 9.92 seconds 
Epoch: 162/200 Train accuracy: 2.45040e-01 Validation accuracy: 2.17500e-01 Loss 3.43858e-02 Validation Loss 3.49055e-02 Time taken: 9.50 seconds 
Epoch: 163/200 Train accuracy: 2.45120e-01 Validation accuracy: 2.18500e-01 Loss 3.43843e-02 Validation Loss 3.49056e-02 Time taken: 9.75 seconds 
Epoch: 164/200 Train accuracy: 2.45360e-01 Validation accuracy: 2.19700e-01 Loss 3.43821e-02 Validation Loss 3.48972e-02 Time taken: 10.01 seconds 
Epoch: 165/200 Train accuracy: 2.45300e-01 Validation accuracy: 2.18400e-01 Loss 3.43792e-02 Validation Loss 3.48984e-02 Time taken: 10.33 seconds 
Epoch: 166/200 Train accuracy: 2.45920e-01 Validation accuracy: 2.19200e-01 Loss 3.43792e-02 Validation Loss 3.48942e-02 Time taken: 9.51 seconds 
Epoch: 167/200 Train accuracy: 2.46020e-01 Validation accuracy: 2.17200e-01 Loss 3.43766e-02 Validation Loss 3.48997e-02 Time taken: 9.72 seconds 
Epoch: 168/200 Train accuracy: 2.45960e-01 Validation accuracy: 2.19100e-01 Loss 3.43750e-02 Validation Loss 3.48948e-02 Time taken: 9.76 seconds 
Epoch: 169/200 Train accuracy: 2.46440e-01 Validation accuracy: 2.19200e-01 Loss 3.43738e-02 Validation Loss 3.48948e-02 Time taken: 9.42 seconds 
Epoch: 170/200 Train accuracy: 2.46840e-01 Validation accuracy: 2.19500e-01 Loss 3.43733e-02 Validation Loss 3.48958e-02 Time taken: 9.80 seconds 
Epoch: 171/200 Train accuracy: 2.47080e-01 Validation accuracy: 2.20000e-01 Loss 3.43707e-02 Validation Loss 3.48919e-02 Time taken: 7.49 seconds 
Epoch: 172/200 Train accuracy: 2.46540e-01 Validation accuracy: 2.22200e-01 Loss 3.43713e-02 Validation Loss 3.48883e-02 Time taken: 7.28 seconds 
Epoch: 173/200 Train accuracy: 2.47320e-01 Validation accuracy: 2.19300e-01 Loss 3.43703e-02 Validation Loss 3.48887e-02 Time taken: 7.38 seconds 
Epoch: 174/200 Train accuracy: 2.47220e-01 Validation accuracy: 2.18700e-01 Loss 3.43692e-02 Validation Loss 3.48884e-02 Time taken: 7.62 seconds 
Epoch: 175/200 Train accuracy: 2.47880e-01 Validation accuracy: 2.20900e-01 Loss 3.43669e-02 Validation Loss 3.48860e-02 Time taken: 7.62 seconds 
Epoch: 176/200 Train accuracy: 2.48180e-01 Validation accuracy: 2.21400e-01 Loss 3.43648e-02 Validation Loss 3.48864e-02 Time taken: 7.68 seconds 
Epoch: 177/200 Train accuracy: 2.48040e-01 Validation accuracy: 2.21200e-01 Loss 3.43651e-02 Validation Loss 3.48887e-02 Time taken: 7.57 seconds 
Epoch: 178/200 Train accuracy: 2.48020e-01 Validation accuracy: 2.19900e-01 Loss 3.43623e-02 Validation Loss 3.48894e-02 Time taken: 7.60 seconds 
Epoch: 179/200 Train accuracy: 2.48780e-01 Validation accuracy: 2.22800e-01 Loss 3.43605e-02 Validation Loss 3.48813e-02 Time taken: 7.72 seconds 
Epoch: 180/200 Train accuracy: 2.48560e-01 Validation accuracy: 2.22900e-01 Loss 3.43586e-02 Validation Loss 3.48791e-02 Time taken: 7.61 seconds 
Epoch: 181/200 Train accuracy: 2.48720e-01 Validation accuracy: 2.23000e-01 Loss 3.43572e-02 Validation Loss 3.48766e-02 Time taken: 7.63 seconds 
Epoch: 182/200 Train accuracy: 2.49060e-01 Validation accuracy: 2.21400e-01 Loss 3.43558e-02 Validation Loss 3.48798e-02 Time taken: 7.72 seconds 
Epoch: 183/200 Train accuracy: 2.49260e-01 Validation accuracy: 2.21300e-01 Loss 3.43546e-02 Validation Loss 3.48746e-02 Time taken: 7.66 seconds 
Epoch: 184/200 Train accuracy: 2.49520e-01 Validation accuracy: 2.21900e-01 Loss 3.43538e-02 Validation Loss 3.48717e-02 Time taken: 7.54 seconds 
Epoch: 185/200 Train accuracy: 2.49840e-01 Validation accuracy: 2.22200e-01 Loss 3.43522e-02 Validation Loss 3.48768e-02 Time taken: 7.57 seconds 
Epoch: 186/200 Train accuracy: 2.50160e-01 Validation accuracy: 2.23100e-01 Loss 3.43504e-02 Validation Loss 3.48689e-02 Time taken: 7.50 seconds 
Epoch: 187/200 Train accuracy: 2.49880e-01 Validation accuracy: 2.23300e-01 Loss 3.43492e-02 Validation Loss 3.48684e-02 Time taken: 7.62 seconds 
Epoch: 188/200 Train accuracy: 2.50000e-01 Validation accuracy: 2.23400e-01 Loss 3.43481e-02 Validation Loss 3.48720e-02 Time taken: 7.62 seconds 
Epoch: 189/200 Train accuracy: 2.49920e-01 Validation accuracy: 2.23300e-01 Loss 3.43475e-02 Validation Loss 3.48680e-02 Time taken: 7.57 seconds 
Epoch: 190/200 Train accuracy: 2.50840e-01 Validation accuracy: 2.23900e-01 Loss 3.43460e-02 Validation Loss 3.48645e-02 Time taken: 7.57 seconds 
Epoch: 191/200 Train accuracy: 2.51280e-01 Validation accuracy: 2.23500e-01 Loss 3.43454e-02 Validation Loss 3.48668e-02 Time taken: 7.61 seconds 
Epoch: 192/200 Train accuracy: 2.51160e-01 Validation accuracy: 2.24000e-01 Loss 3.43436e-02 Validation Loss 3.48643e-02 Time taken: 8.56 seconds 
Epoch: 193/200 Train accuracy: 2.51740e-01 Validation accuracy: 2.24400e-01 Loss 3.43431e-02 Validation Loss 3.48659e-02 Time taken: 7.63 seconds 
Epoch: 194/200 Train accuracy: 2.51560e-01 Validation accuracy: 2.22300e-01 Loss 3.43414e-02 Validation Loss 3.48637e-02 Time taken: 7.62 seconds 
Epoch: 195/200 Train accuracy: 2.51980e-01 Validation accuracy: 2.24100e-01 Loss 3.43386e-02 Validation Loss 3.48671e-02 Time taken: 7.76 seconds 
Epoch: 196/200 Train accuracy: 2.51580e-01 Validation accuracy: 2.24600e-01 Loss 3.43386e-02 Validation Loss 3.48648e-02 Time taken: 9.97 seconds 
Epoch: 197/200 Train accuracy: 2.51540e-01 Validation accuracy: 2.23100e-01 Loss 3.43385e-02 Validation Loss 3.48642e-02 Time taken: 10.45 seconds 
Epoch: 198/200 Train accuracy: 2.52360e-01 Validation accuracy: 2.25100e-01 Loss 3.43377e-02 Validation Loss 3.48584e-02 Time taken: 10.15 seconds 
Epoch: 199/200 Train accuracy: 2.51640e-01 Validation accuracy: 2.24000e-01 Loss 3.43366e-02 Validation Loss 3.48621e-02 Time taken: 9.65 seconds 
Epoch: 200/200 Train accuracy: 2.52660e-01 Validation accuracy: 2.25200e-01 Loss 3.43355e-02 Validation Loss 3.48598e-02 Time taken: 10.27 seconds 
Total time taken 0:31:58.719297
Cleaning up intermediate feature (.pt) files
Done


working on file logs_STL/stl-l2-pkt-chunks-seed0/jepa-stl-l2-pkt-chunks-seed0-ep150.pth.tar ...
Directory logs_STL/stl-l2-pkt-chunks-seed0/classifiers for saving the classifiers is now present
VisionTransformer(
  (patch_embed): PatchEmbed(
    (proj): Conv2d(3, 768, kernel_size=(15, 15), stride=(15, 15))
  )
  (blocks): ModuleList(
    (0-11): 12 x Block(
      (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (attn): Attention(
        (qkv): Linear(in_features=768, out_features=2304, bias=True)
        (attn_drop): Dropout(p=0.0, inplace=False)
        (proj): Linear(in_features=768, out_features=768, bias=True)
        (proj_drop): Dropout(p=0.0, inplace=False)
      )
      (drop_path): Identity()
      (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (mlp): MLP(
        (fc1): Linear(in_features=768, out_features=3072, bias=True)
        (act): GELU(approximate='none')
        (fc2): Linear(in_features=3072, out_features=768, bias=True)
        (drop): Dropout(p=0.0, inplace=False)
      )
    )
  )
  (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
)
Extracting features and saving them in memory..
Extracting features...
Done extracting features...
 Creating datasets
Created datasets...
 Creating data loaders
Done with data loaders
Commencing training
Epoch: 1/200 Train accuracy: 7.81800e-02 Validation accuracy: 1.11100e-01 Loss 3.56274e-02 Validation Loss 3.57637e-02 Time taken: 10.27 seconds 
Epoch: 2/200 Train accuracy: 1.18540e-01 Validation accuracy: 1.27300e-01 Loss 3.53462e-02 Validation Loss 3.56361e-02 Time taken: 9.91 seconds 
Epoch: 3/200 Train accuracy: 1.32580e-01 Validation accuracy: 1.37600e-01 Loss 3.52371e-02 Validation Loss 3.55469e-02 Time taken: 9.55 seconds 
Epoch: 4/200 Train accuracy: 1.45320e-01 Validation accuracy: 1.47500e-01 Loss 3.51454e-02 Validation Loss 3.54825e-02 Time taken: 9.78 seconds 
Epoch: 5/200 Train accuracy: 1.52220e-01 Validation accuracy: 1.51000e-01 Loss 3.50877e-02 Validation Loss 3.54457e-02 Time taken: 10.25 seconds 
Epoch: 6/200 Train accuracy: 1.56420e-01 Validation accuracy: 1.55800e-01 Loss 3.50496e-02 Validation Loss 3.54094e-02 Time taken: 9.99 seconds 
Epoch: 7/200 Train accuracy: 1.61180e-01 Validation accuracy: 1.59600e-01 Loss 3.50154e-02 Validation Loss 3.53770e-02 Time taken: 10.15 seconds 
Epoch: 8/200 Train accuracy: 1.66540e-01 Validation accuracy: 1.63800e-01 Loss 3.49746e-02 Validation Loss 3.53472e-02 Time taken: 9.55 seconds 
Epoch: 9/200 Train accuracy: 1.71480e-01 Validation accuracy: 1.68200e-01 Loss 3.49383e-02 Validation Loss 3.53179e-02 Time taken: 10.24 seconds 
Epoch: 10/200 Train accuracy: 1.74300e-01 Validation accuracy: 1.70800e-01 Loss 3.49127e-02 Validation Loss 3.52924e-02 Time taken: 9.71 seconds 
Epoch: 11/200 Train accuracy: 1.76880e-01 Validation accuracy: 1.73200e-01 Loss 3.48938e-02 Validation Loss 3.52750e-02 Time taken: 9.72 seconds 
Epoch: 12/200 Train accuracy: 1.78840e-01 Validation accuracy: 1.73300e-01 Loss 3.48761e-02 Validation Loss 3.52672e-02 Time taken: 9.69 seconds 
Epoch: 13/200 Train accuracy: 1.80220e-01 Validation accuracy: 1.74500e-01 Loss 3.48617e-02 Validation Loss 3.52529e-02 Time taken: 10.49 seconds 
Epoch: 14/200 Train accuracy: 1.81440e-01 Validation accuracy: 1.76000e-01 Loss 3.48472e-02 Validation Loss 3.52457e-02 Time taken: 10.42 seconds 
Epoch: 15/200 Train accuracy: 1.83880e-01 Validation accuracy: 1.77700e-01 Loss 3.48355e-02 Validation Loss 3.52288e-02 Time taken: 9.78 seconds 
Epoch: 16/200 Train accuracy: 1.85140e-01 Validation accuracy: 1.77300e-01 Loss 3.48237e-02 Validation Loss 3.52243e-02 Time taken: 9.72 seconds 
Epoch: 17/200 Train accuracy: 1.85900e-01 Validation accuracy: 1.80100e-01 Loss 3.48134e-02 Validation Loss 3.52113e-02 Time taken: 9.43 seconds 
Epoch: 18/200 Train accuracy: 1.87220e-01 Validation accuracy: 1.80000e-01 Loss 3.48023e-02 Validation Loss 3.52031e-02 Time taken: 9.43 seconds 
Epoch: 19/200 Train accuracy: 1.88780e-01 Validation accuracy: 1.79500e-01 Loss 3.47940e-02 Validation Loss 3.51964e-02 Time taken: 9.23 seconds 
Epoch: 20/200 Train accuracy: 1.88720e-01 Validation accuracy: 1.82500e-01 Loss 3.47863e-02 Validation Loss 3.51865e-02 Time taken: 10.24 seconds 
Epoch: 21/200 Train accuracy: 1.89600e-01 Validation accuracy: 1.82300e-01 Loss 3.47764e-02 Validation Loss 3.51827e-02 Time taken: 9.39 seconds 
Epoch: 22/200 Train accuracy: 1.90660e-01 Validation accuracy: 1.84300e-01 Loss 3.47691e-02 Validation Loss 3.51715e-02 Time taken: 9.49 seconds 
Epoch: 23/200 Train accuracy: 1.91460e-01 Validation accuracy: 1.84300e-01 Loss 3.47606e-02 Validation Loss 3.51707e-02 Time taken: 10.43 seconds 
Epoch: 24/200 Train accuracy: 1.92420e-01 Validation accuracy: 1.84100e-01 Loss 3.47546e-02 Validation Loss 3.51650e-02 Time taken: 10.35 seconds 
Epoch: 25/200 Train accuracy: 1.93580e-01 Validation accuracy: 1.85300e-01 Loss 3.47462e-02 Validation Loss 3.51564e-02 Time taken: 9.64 seconds 
Epoch: 26/200 Train accuracy: 1.94000e-01 Validation accuracy: 1.86200e-01 Loss 3.47401e-02 Validation Loss 3.51538e-02 Time taken: 9.29 seconds 
Epoch: 27/200 Train accuracy: 1.94680e-01 Validation accuracy: 1.84500e-01 Loss 3.47344e-02 Validation Loss 3.51472e-02 Time taken: 9.46 seconds 
Epoch: 28/200 Train accuracy: 1.95800e-01 Validation accuracy: 1.86000e-01 Loss 3.47293e-02 Validation Loss 3.51449e-02 Time taken: 9.73 seconds 
Epoch: 29/200 Train accuracy: 1.96260e-01 Validation accuracy: 1.88600e-01 Loss 3.47213e-02 Validation Loss 3.51334e-02 Time taken: 9.42 seconds 
Epoch: 30/200 Train accuracy: 1.97920e-01 Validation accuracy: 1.87000e-01 Loss 3.47166e-02 Validation Loss 3.51340e-02 Time taken: 10.08 seconds 
Epoch: 31/200 Train accuracy: 1.97540e-01 Validation accuracy: 1.86100e-01 Loss 3.47121e-02 Validation Loss 3.51257e-02 Time taken: 10.08 seconds 
Epoch: 32/200 Train accuracy: 1.97920e-01 Validation accuracy: 1.87700e-01 Loss 3.47051e-02 Validation Loss 3.51281e-02 Time taken: 9.49 seconds 
Epoch: 33/200 Train accuracy: 1.99040e-01 Validation accuracy: 1.88100e-01 Loss 3.47009e-02 Validation Loss 3.51207e-02 Time taken: 9.66 seconds 
Epoch: 34/200 Train accuracy: 2.00080e-01 Validation accuracy: 1.89500e-01 Loss 3.46970e-02 Validation Loss 3.51133e-02 Time taken: 9.84 seconds 
Epoch: 35/200 Train accuracy: 1.99840e-01 Validation accuracy: 1.88400e-01 Loss 3.46921e-02 Validation Loss 3.51144e-02 Time taken: 9.83 seconds 
Epoch: 36/200 Train accuracy: 2.00840e-01 Validation accuracy: 1.89300e-01 Loss 3.46873e-02 Validation Loss 3.51056e-02 Time taken: 9.97 seconds 
Epoch: 37/200 Train accuracy: 2.01960e-01 Validation accuracy: 1.89300e-01 Loss 3.46830e-02 Validation Loss 3.51033e-02 Time taken: 10.11 seconds 
Epoch: 38/200 Train accuracy: 2.01800e-01 Validation accuracy: 1.90300e-01 Loss 3.46794e-02 Validation Loss 3.51021e-02 Time taken: 9.31 seconds 
Epoch: 39/200 Train accuracy: 2.03160e-01 Validation accuracy: 1.90600e-01 Loss 3.46737e-02 Validation Loss 3.50960e-02 Time taken: 9.89 seconds 
Epoch: 40/200 Train accuracy: 2.03000e-01 Validation accuracy: 1.90200e-01 Loss 3.46699e-02 Validation Loss 3.50946e-02 Time taken: 10.09 seconds 
Epoch: 41/200 Train accuracy: 2.02980e-01 Validation accuracy: 1.90700e-01 Loss 3.46650e-02 Validation Loss 3.50925e-02 Time taken: 10.67 seconds 
Epoch: 42/200 Train accuracy: 2.04620e-01 Validation accuracy: 1.93000e-01 Loss 3.46609e-02 Validation Loss 3.50807e-02 Time taken: 10.23 seconds 
Epoch: 43/200 Train accuracy: 2.04900e-01 Validation accuracy: 1.92700e-01 Loss 3.46577e-02 Validation Loss 3.50798e-02 Time taken: 9.88 seconds 
Epoch: 44/200 Train accuracy: 2.04980e-01 Validation accuracy: 1.90900e-01 Loss 3.46540e-02 Validation Loss 3.50827e-02 Time taken: 9.86 seconds 
Epoch: 45/200 Train accuracy: 2.05660e-01 Validation accuracy: 1.92800e-01 Loss 3.46507e-02 Validation Loss 3.50788e-02 Time taken: 10.08 seconds 
Epoch: 46/200 Train accuracy: 2.05760e-01 Validation accuracy: 1.93300e-01 Loss 3.46473e-02 Validation Loss 3.50734e-02 Time taken: 9.51 seconds 
Epoch: 47/200 Train accuracy: 2.06320e-01 Validation accuracy: 1.95000e-01 Loss 3.46436e-02 Validation Loss 3.50664e-02 Time taken: 9.73 seconds 
Epoch: 48/200 Train accuracy: 2.06540e-01 Validation accuracy: 1.93900e-01 Loss 3.46402e-02 Validation Loss 3.50681e-02 Time taken: 9.71 seconds 
Epoch: 49/200 Train accuracy: 2.07300e-01 Validation accuracy: 1.93400e-01 Loss 3.46370e-02 Validation Loss 3.50676e-02 Time taken: 9.62 seconds 
Epoch: 50/200 Train accuracy: 2.07640e-01 Validation accuracy: 1.93100e-01 Loss 3.46342e-02 Validation Loss 3.50618e-02 Time taken: 9.68 seconds 
Epoch: 51/200 Train accuracy: 2.07760e-01 Validation accuracy: 1.92800e-01 Loss 3.46311e-02 Validation Loss 3.50642e-02 Time taken: 9.50 seconds 
Epoch: 52/200 Train accuracy: 2.07880e-01 Validation accuracy: 1.94900e-01 Loss 3.46296e-02 Validation Loss 3.50567e-02 Time taken: 9.55 seconds 
Epoch: 53/200 Train accuracy: 2.08180e-01 Validation accuracy: 1.96600e-01 Loss 3.46246e-02 Validation Loss 3.50528e-02 Time taken: 9.92 seconds 
Epoch: 54/200 Train accuracy: 2.09420e-01 Validation accuracy: 1.94500e-01 Loss 3.46228e-02 Validation Loss 3.50561e-02 Time taken: 9.96 seconds 
Epoch: 55/200 Train accuracy: 2.09820e-01 Validation accuracy: 1.96200e-01 Loss 3.46195e-02 Validation Loss 3.50539e-02 Time taken: 10.09 seconds 
Epoch: 56/200 Train accuracy: 2.09840e-01 Validation accuracy: 1.95900e-01 Loss 3.46179e-02 Validation Loss 3.50505e-02 Time taken: 9.93 seconds 
Epoch: 57/200 Train accuracy: 2.10180e-01 Validation accuracy: 1.95500e-01 Loss 3.46150e-02 Validation Loss 3.50495e-02 Time taken: 10.28 seconds 
Epoch: 58/200 Train accuracy: 2.10840e-01 Validation accuracy: 1.95800e-01 Loss 3.46115e-02 Validation Loss 3.50425e-02 Time taken: 10.25 seconds 
Epoch: 59/200 Train accuracy: 2.10620e-01 Validation accuracy: 1.97100e-01 Loss 3.46079e-02 Validation Loss 3.50461e-02 Time taken: 9.40 seconds 
Epoch: 60/200 Train accuracy: 2.10520e-01 Validation accuracy: 1.97700e-01 Loss 3.46078e-02 Validation Loss 3.50402e-02 Time taken: 9.99 seconds 
Epoch: 61/200 Train accuracy: 2.11860e-01 Validation accuracy: 1.98500e-01 Loss 3.46047e-02 Validation Loss 3.50357e-02 Time taken: 9.85 seconds 
Epoch: 62/200 Train accuracy: 2.11840e-01 Validation accuracy: 1.96300e-01 Loss 3.46011e-02 Validation Loss 3.50387e-02 Time taken: 9.86 seconds 
Epoch: 63/200 Train accuracy: 2.12600e-01 Validation accuracy: 1.96600e-01 Loss 3.46005e-02 Validation Loss 3.50363e-02 Time taken: 9.67 seconds 
Epoch: 64/200 Train accuracy: 2.12160e-01 Validation accuracy: 1.96600e-01 Loss 3.45980e-02 Validation Loss 3.50374e-02 Time taken: 9.84 seconds 
Epoch: 65/200 Train accuracy: 2.12400e-01 Validation accuracy: 1.96400e-01 Loss 3.45954e-02 Validation Loss 3.50375e-02 Time taken: 10.52 seconds 
Epoch: 66/200 Train accuracy: 2.13520e-01 Validation accuracy: 1.97900e-01 Loss 3.45944e-02 Validation Loss 3.50310e-02 Time taken: 9.70 seconds 
Epoch: 67/200 Train accuracy: 2.12760e-01 Validation accuracy: 1.97000e-01 Loss 3.45920e-02 Validation Loss 3.50313e-02 Time taken: 9.58 seconds 
Epoch: 68/200 Train accuracy: 2.14100e-01 Validation accuracy: 1.98700e-01 Loss 3.45893e-02 Validation Loss 3.50339e-02 Time taken: 9.73 seconds 
Epoch: 69/200 Train accuracy: 2.13480e-01 Validation accuracy: 1.97800e-01 Loss 3.45884e-02 Validation Loss 3.50306e-02 Time taken: 9.98 seconds 
Epoch: 70/200 Train accuracy: 2.14240e-01 Validation accuracy: 1.98400e-01 Loss 3.45862e-02 Validation Loss 3.50244e-02 Time taken: 9.86 seconds 
Epoch: 71/200 Train accuracy: 2.14060e-01 Validation accuracy: 1.99000e-01 Loss 3.45834e-02 Validation Loss 3.50230e-02 Time taken: 9.57 seconds 
Epoch: 72/200 Train accuracy: 2.14120e-01 Validation accuracy: 1.98400e-01 Loss 3.45811e-02 Validation Loss 3.50283e-02 Time taken: 10.13 seconds 
Epoch: 73/200 Train accuracy: 2.14460e-01 Validation accuracy: 1.99200e-01 Loss 3.45814e-02 Validation Loss 3.50242e-02 Time taken: 9.90 seconds 
Epoch: 74/200 Train accuracy: 2.15120e-01 Validation accuracy: 1.99300e-01 Loss 3.45773e-02 Validation Loss 3.50206e-02 Time taken: 9.97 seconds 
Epoch: 75/200 Train accuracy: 2.15280e-01 Validation accuracy: 1.98900e-01 Loss 3.45770e-02 Validation Loss 3.50187e-02 Time taken: 9.61 seconds 
Epoch: 76/200 Train accuracy: 2.15160e-01 Validation accuracy: 2.00000e-01 Loss 3.45741e-02 Validation Loss 3.50173e-02 Time taken: 10.17 seconds 
Epoch: 77/200 Train accuracy: 2.16020e-01 Validation accuracy: 2.01500e-01 Loss 3.45733e-02 Validation Loss 3.50127e-02 Time taken: 9.81 seconds 
Epoch: 78/200 Train accuracy: 2.16040e-01 Validation accuracy: 2.00200e-01 Loss 3.45718e-02 Validation Loss 3.50165e-02 Time taken: 9.94 seconds 
Epoch: 79/200 Train accuracy: 2.15980e-01 Validation accuracy: 2.00400e-01 Loss 3.45688e-02 Validation Loss 3.50167e-02 Time taken: 10.15 seconds 
Epoch: 80/200 Train accuracy: 2.16680e-01 Validation accuracy: 2.00600e-01 Loss 3.45671e-02 Validation Loss 3.50161e-02 Time taken: 9.63 seconds 
Epoch: 81/200 Train accuracy: 2.16540e-01 Validation accuracy: 1.99800e-01 Loss 3.45663e-02 Validation Loss 3.50149e-02 Time taken: 10.37 seconds 
Epoch: 82/200 Train accuracy: 2.16620e-01 Validation accuracy: 2.00000e-01 Loss 3.45640e-02 Validation Loss 3.50115e-02 Time taken: 9.51 seconds 
Epoch: 83/200 Train accuracy: 2.17160e-01 Validation accuracy: 2.02000e-01 Loss 3.45636e-02 Validation Loss 3.50095e-02 Time taken: 10.19 seconds 
Epoch: 84/200 Train accuracy: 2.17200e-01 Validation accuracy: 2.01700e-01 Loss 3.45612e-02 Validation Loss 3.50092e-02 Time taken: 10.40 seconds 
Epoch: 85/200 Train accuracy: 2.18160e-01 Validation accuracy: 1.99500e-01 Loss 3.45599e-02 Validation Loss 3.50183e-02 Time taken: 9.81 seconds 
Epoch: 86/200 Train accuracy: 2.17860e-01 Validation accuracy: 2.00500e-01 Loss 3.45593e-02 Validation Loss 3.50110e-02 Time taken: 9.94 seconds 
Epoch: 87/200 Train accuracy: 2.18360e-01 Validation accuracy: 2.01900e-01 Loss 3.45560e-02 Validation Loss 3.50113e-02 Time taken: 10.41 seconds 
Epoch: 88/200 Train accuracy: 2.18620e-01 Validation accuracy: 2.02700e-01 Loss 3.45554e-02 Validation Loss 3.50055e-02 Time taken: 9.60 seconds 
Epoch: 89/200 Train accuracy: 2.18120e-01 Validation accuracy: 2.01200e-01 Loss 3.45540e-02 Validation Loss 3.50066e-02 Time taken: 9.56 seconds 
Epoch: 90/200 Train accuracy: 2.18700e-01 Validation accuracy: 2.02000e-01 Loss 3.45517e-02 Validation Loss 3.50024e-02 Time taken: 9.95 seconds 
Epoch: 91/200 Train accuracy: 2.18800e-01 Validation accuracy: 2.00900e-01 Loss 3.45498e-02 Validation Loss 3.50052e-02 Time taken: 9.76 seconds 
Epoch: 92/200 Train accuracy: 2.18580e-01 Validation accuracy: 2.01700e-01 Loss 3.45500e-02 Validation Loss 3.50021e-02 Time taken: 9.98 seconds 
Epoch: 93/200 Train accuracy: 2.19280e-01 Validation accuracy: 2.03300e-01 Loss 3.45468e-02 Validation Loss 3.50007e-02 Time taken: 9.56 seconds 
Epoch: 94/200 Train accuracy: 2.19880e-01 Validation accuracy: 2.02200e-01 Loss 3.45457e-02 Validation Loss 3.50009e-02 Time taken: 10.27 seconds 
Epoch: 95/200 Train accuracy: 2.19800e-01 Validation accuracy: 2.03100e-01 Loss 3.45442e-02 Validation Loss 3.49977e-02 Time taken: 9.61 seconds 
Epoch: 96/200 Train accuracy: 2.19560e-01 Validation accuracy: 2.02500e-01 Loss 3.45428e-02 Validation Loss 3.49959e-02 Time taken: 9.71 seconds 
Epoch: 97/200 Train accuracy: 2.20020e-01 Validation accuracy: 2.02600e-01 Loss 3.45414e-02 Validation Loss 3.49968e-02 Time taken: 10.35 seconds 
Epoch: 98/200 Train accuracy: 2.20300e-01 Validation accuracy: 2.03700e-01 Loss 3.45404e-02 Validation Loss 3.49938e-02 Time taken: 9.91 seconds 
Epoch: 99/200 Train accuracy: 2.20440e-01 Validation accuracy: 2.02500e-01 Loss 3.45384e-02 Validation Loss 3.49949e-02 Time taken: 9.93 seconds 
Epoch: 100/200 Train accuracy: 2.20760e-01 Validation accuracy: 2.02200e-01 Loss 3.45366e-02 Validation Loss 3.49979e-02 Time taken: 10.24 seconds 
Epoch: 101/200 Train accuracy: 2.21180e-01 Validation accuracy: 2.05400e-01 Loss 3.45349e-02 Validation Loss 3.49866e-02 Time taken: 9.80 seconds 
Epoch: 102/200 Train accuracy: 2.20920e-01 Validation accuracy: 2.02900e-01 Loss 3.45351e-02 Validation Loss 3.49910e-02 Time taken: 9.62 seconds 
Epoch: 103/200 Train accuracy: 2.21500e-01 Validation accuracy: 2.03700e-01 Loss 3.45320e-02 Validation Loss 3.49904e-02 Time taken: 9.68 seconds 
Epoch: 104/200 Train accuracy: 2.21700e-01 Validation accuracy: 2.03500e-01 Loss 3.45308e-02 Validation Loss 3.49891e-02 Time taken: 9.70 seconds 
Epoch: 105/200 Train accuracy: 2.21900e-01 Validation accuracy: 2.04400e-01 Loss 3.45313e-02 Validation Loss 3.49868e-02 Time taken: 10.57 seconds 
Epoch: 106/200 Train accuracy: 2.21580e-01 Validation accuracy: 2.04700e-01 Loss 3.45300e-02 Validation Loss 3.49855e-02 Time taken: 9.45 seconds 
Epoch: 107/200 Train accuracy: 2.22040e-01 Validation accuracy: 2.03600e-01 Loss 3.45299e-02 Validation Loss 3.49888e-02 Time taken: 9.55 seconds 
Epoch: 108/200 Train accuracy: 2.21960e-01 Validation accuracy: 2.04500e-01 Loss 3.45274e-02 Validation Loss 3.49871e-02 Time taken: 10.12 seconds 
Epoch: 109/200 Train accuracy: 2.22180e-01 Validation accuracy: 2.03600e-01 Loss 3.45256e-02 Validation Loss 3.49851e-02 Time taken: 10.10 seconds 
Epoch: 110/200 Train accuracy: 2.22720e-01 Validation accuracy: 2.05200e-01 Loss 3.45255e-02 Validation Loss 3.49830e-02 Time taken: 9.66 seconds 
Epoch: 111/200 Train accuracy: 2.22900e-01 Validation accuracy: 2.05000e-01 Loss 3.45227e-02 Validation Loss 3.49855e-02 Time taken: 10.05 seconds 
Epoch: 112/200 Train accuracy: 2.22800e-01 Validation accuracy: 2.04700e-01 Loss 3.45225e-02 Validation Loss 3.49813e-02 Time taken: 9.91 seconds 
Epoch: 113/200 Train accuracy: 2.23200e-01 Validation accuracy: 2.03300e-01 Loss 3.45198e-02 Validation Loss 3.49824e-02 Time taken: 10.71 seconds 
Epoch: 114/200 Train accuracy: 2.23300e-01 Validation accuracy: 2.03900e-01 Loss 3.45203e-02 Validation Loss 3.49862e-02 Time taken: 10.13 seconds 
Epoch: 115/200 Train accuracy: 2.22900e-01 Validation accuracy: 2.05000e-01 Loss 3.45188e-02 Validation Loss 3.49784e-02 Time taken: 10.38 seconds 
Epoch: 116/200 Train accuracy: 2.23200e-01 Validation accuracy: 2.02600e-01 Loss 3.45166e-02 Validation Loss 3.49798e-02 Time taken: 9.55 seconds 
Epoch: 117/200 Train accuracy: 2.24000e-01 Validation accuracy: 2.04200e-01 Loss 3.45171e-02 Validation Loss 3.49770e-02 Time taken: 9.85 seconds 
Epoch: 118/200 Train accuracy: 2.23480e-01 Validation accuracy: 2.04500e-01 Loss 3.45170e-02 Validation Loss 3.49800e-02 Time taken: 9.88 seconds 
Epoch: 119/200 Train accuracy: 2.24400e-01 Validation accuracy: 2.05900e-01 Loss 3.45130e-02 Validation Loss 3.49716e-02 Time taken: 9.88 seconds 
Epoch: 120/200 Train accuracy: 2.25220e-01 Validation accuracy: 2.06500e-01 Loss 3.45077e-02 Validation Loss 3.49703e-02 Time taken: 10.36 seconds 
Epoch: 121/200 Train accuracy: 2.25060e-01 Validation accuracy: 2.05900e-01 Loss 3.45064e-02 Validation Loss 3.49671e-02 Time taken: 9.82 seconds 
Epoch: 122/200 Train accuracy: 2.25400e-01 Validation accuracy: 2.06700e-01 Loss 3.45040e-02 Validation Loss 3.49639e-02 Time taken: 9.62 seconds 
Epoch: 123/200 Train accuracy: 2.25700e-01 Validation accuracy: 2.07500e-01 Loss 3.45038e-02 Validation Loss 3.49676e-02 Time taken: 10.06 seconds 
Epoch: 124/200 Train accuracy: 2.25420e-01 Validation accuracy: 2.06600e-01 Loss 3.45012e-02 Validation Loss 3.49634e-02 Time taken: 9.97 seconds 
Epoch: 125/200 Train accuracy: 2.25800e-01 Validation accuracy: 2.05600e-01 Loss 3.44994e-02 Validation Loss 3.49687e-02 Time taken: 9.86 seconds 
Epoch: 126/200 Train accuracy: 2.26060e-01 Validation accuracy: 2.08300e-01 Loss 3.44987e-02 Validation Loss 3.49599e-02 Time taken: 9.93 seconds 
Epoch: 127/200 Train accuracy: 2.26460e-01 Validation accuracy: 2.05600e-01 Loss 3.44988e-02 Validation Loss 3.49638e-02 Time taken: 9.83 seconds 
Epoch: 128/200 Train accuracy: 2.26740e-01 Validation accuracy: 2.07100e-01 Loss 3.44969e-02 Validation Loss 3.49619e-02 Time taken: 9.86 seconds 
Epoch: 129/200 Train accuracy: 2.26500e-01 Validation accuracy: 2.08000e-01 Loss 3.44952e-02 Validation Loss 3.49611e-02 Time taken: 9.73 seconds 
Epoch: 130/200 Train accuracy: 2.27180e-01 Validation accuracy: 2.07300e-01 Loss 3.44956e-02 Validation Loss 3.49592e-02 Time taken: 9.70 seconds 
Epoch: 131/200 Train accuracy: 2.26640e-01 Validation accuracy: 2.08800e-01 Loss 3.44939e-02 Validation Loss 3.49593e-02 Time taken: 9.15 seconds 
Epoch: 132/200 Train accuracy: 2.26820e-01 Validation accuracy: 2.07800e-01 Loss 3.44926e-02 Validation Loss 3.49591e-02 Time taken: 10.13 seconds 
Epoch: 133/200 Train accuracy: 2.26580e-01 Validation accuracy: 2.07100e-01 Loss 3.44910e-02 Validation Loss 3.49607e-02 Time taken: 10.22 seconds 
Epoch: 134/200 Train accuracy: 2.27260e-01 Validation accuracy: 2.07800e-01 Loss 3.44899e-02 Validation Loss 3.49562e-02 Time taken: 10.08 seconds 
Epoch: 135/200 Train accuracy: 2.27560e-01 Validation accuracy: 2.07300e-01 Loss 3.44899e-02 Validation Loss 3.49584e-02 Time taken: 10.39 seconds 
Epoch: 136/200 Train accuracy: 2.27680e-01 Validation accuracy: 2.07300e-01 Loss 3.44876e-02 Validation Loss 3.49583e-02 Time taken: 9.62 seconds 
Epoch: 137/200 Train accuracy: 2.28100e-01 Validation accuracy: 2.07400e-01 Loss 3.44871e-02 Validation Loss 3.49551e-02 Time taken: 9.97 seconds 
Epoch: 138/200 Train accuracy: 2.27960e-01 Validation accuracy: 2.08600e-01 Loss 3.44842e-02 Validation Loss 3.49513e-02 Time taken: 9.37 seconds 
Epoch: 139/200 Train accuracy: 2.28340e-01 Validation accuracy: 2.09500e-01 Loss 3.44826e-02 Validation Loss 3.49475e-02 Time taken: 10.01 seconds 
Epoch: 140/200 Train accuracy: 2.28240e-01 Validation accuracy: 2.08100e-01 Loss 3.44815e-02 Validation Loss 3.49541e-02 Time taken: 10.04 seconds 
Epoch: 141/200 Train accuracy: 2.28600e-01 Validation accuracy: 2.09500e-01 Loss 3.44801e-02 Validation Loss 3.49483e-02 Time taken: 10.07 seconds 
Epoch: 142/200 Train accuracy: 2.29480e-01 Validation accuracy: 2.08400e-01 Loss 3.44795e-02 Validation Loss 3.49527e-02 Time taken: 10.09 seconds 
Epoch: 143/200 Train accuracy: 2.29180e-01 Validation accuracy: 2.10300e-01 Loss 3.44776e-02 Validation Loss 3.49456e-02 Time taken: 9.91 seconds 
Epoch: 144/200 Train accuracy: 2.28920e-01 Validation accuracy: 2.08900e-01 Loss 3.44784e-02 Validation Loss 3.49461e-02 Time taken: 10.50 seconds 
Epoch: 145/200 Train accuracy: 2.29120e-01 Validation accuracy: 2.09300e-01 Loss 3.44764e-02 Validation Loss 3.49459e-02 Time taken: 9.49 seconds 
Epoch: 146/200 Train accuracy: 2.29240e-01 Validation accuracy: 2.07900e-01 Loss 3.44744e-02 Validation Loss 3.49487e-02 Time taken: 9.78 seconds 
Epoch: 147/200 Train accuracy: 2.30140e-01 Validation accuracy: 2.09600e-01 Loss 3.44745e-02 Validation Loss 3.49436e-02 Time taken: 9.98 seconds 
Epoch: 148/200 Train accuracy: 2.29620e-01 Validation accuracy: 2.08900e-01 Loss 3.44724e-02 Validation Loss 3.49452e-02 Time taken: 9.76 seconds 
Epoch: 149/200 Train accuracy: 2.30120e-01 Validation accuracy: 2.09600e-01 Loss 3.44718e-02 Validation Loss 3.49459e-02 Time taken: 9.45 seconds 
Epoch: 150/200 Train accuracy: 2.29720e-01 Validation accuracy: 2.10500e-01 Loss 3.44708e-02 Validation Loss 3.49398e-02 Time taken: 9.81 seconds 
Epoch: 151/200 Train accuracy: 2.30000e-01 Validation accuracy: 2.10600e-01 Loss 3.44694e-02 Validation Loss 3.49411e-02 Time taken: 9.75 seconds 
Epoch: 152/200 Train accuracy: 2.29420e-01 Validation accuracy: 2.10000e-01 Loss 3.44689e-02 Validation Loss 3.49419e-02 Time taken: 9.98 seconds 
Epoch: 153/200 Train accuracy: 2.30420e-01 Validation accuracy: 2.09800e-01 Loss 3.44672e-02 Validation Loss 3.49438e-02 Time taken: 9.91 seconds 
Epoch: 154/200 Train accuracy: 2.30620e-01 Validation accuracy: 2.10700e-01 Loss 3.44642e-02 Validation Loss 3.49384e-02 Time taken: 9.58 seconds 
Epoch: 155/200 Train accuracy: 2.31000e-01 Validation accuracy: 2.11100e-01 Loss 3.44631e-02 Validation Loss 3.49366e-02 Time taken: 9.69 seconds 
Epoch: 156/200 Train accuracy: 2.31320e-01 Validation accuracy: 2.09600e-01 Loss 3.44607e-02 Validation Loss 3.49370e-02 Time taken: 9.54 seconds 
Epoch: 157/200 Train accuracy: 2.31300e-01 Validation accuracy: 2.11200e-01 Loss 3.44597e-02 Validation Loss 3.49350e-02 Time taken: 9.75 seconds 
Epoch: 158/200 Train accuracy: 2.31840e-01 Validation accuracy: 2.10900e-01 Loss 3.44577e-02 Validation Loss 3.49338e-02 Time taken: 10.01 seconds 
Epoch: 159/200 Train accuracy: 2.31300e-01 Validation accuracy: 2.12300e-01 Loss 3.44555e-02 Validation Loss 3.49320e-02 Time taken: 10.07 seconds 
Epoch: 160/200 Train accuracy: 2.31860e-01 Validation accuracy: 2.12700e-01 Loss 3.44554e-02 Validation Loss 3.49277e-02 Time taken: 9.86 seconds 
Epoch: 161/200 Train accuracy: 2.32480e-01 Validation accuracy: 2.10900e-01 Loss 3.44511e-02 Validation Loss 3.49274e-02 Time taken: 9.73 seconds 
Epoch: 162/200 Train accuracy: 2.32820e-01 Validation accuracy: 2.13000e-01 Loss 3.44504e-02 Validation Loss 3.49267e-02 Time taken: 10.55 seconds 
Epoch: 163/200 Train accuracy: 2.32960e-01 Validation accuracy: 2.10500e-01 Loss 3.44462e-02 Validation Loss 3.49278e-02 Time taken: 9.56 seconds 
Epoch: 164/200 Train accuracy: 2.33180e-01 Validation accuracy: 2.11600e-01 Loss 3.44448e-02 Validation Loss 3.49211e-02 Time taken: 9.80 seconds 
Epoch: 165/200 Train accuracy: 2.33400e-01 Validation accuracy: 2.12900e-01 Loss 3.44452e-02 Validation Loss 3.49234e-02 Time taken: 10.23 seconds 
Epoch: 166/200 Train accuracy: 2.33500e-01 Validation accuracy: 2.12000e-01 Loss 3.44427e-02 Validation Loss 3.49221e-02 Time taken: 9.86 seconds 
Epoch: 167/200 Train accuracy: 2.34060e-01 Validation accuracy: 2.12400e-01 Loss 3.44405e-02 Validation Loss 3.49194e-02 Time taken: 9.71 seconds 
Epoch: 168/200 Train accuracy: 2.34360e-01 Validation accuracy: 2.13900e-01 Loss 3.44389e-02 Validation Loss 3.49137e-02 Time taken: 9.43 seconds 
Epoch: 169/200 Train accuracy: 2.34060e-01 Validation accuracy: 2.12800e-01 Loss 3.44373e-02 Validation Loss 3.49142e-02 Time taken: 9.28 seconds 
Epoch: 170/200 Train accuracy: 2.34540e-01 Validation accuracy: 2.12100e-01 Loss 3.44364e-02 Validation Loss 3.49169e-02 Time taken: 7.59 seconds 
Epoch: 171/200 Train accuracy: 2.34880e-01 Validation accuracy: 2.11800e-01 Loss 3.44357e-02 Validation Loss 3.49150e-02 Time taken: 7.37 seconds 
Epoch: 172/200 Train accuracy: 2.35560e-01 Validation accuracy: 2.13800e-01 Loss 3.44330e-02 Validation Loss 3.49148e-02 Time taken: 7.57 seconds 
Epoch: 173/200 Train accuracy: 2.35180e-01 Validation accuracy: 2.12500e-01 Loss 3.44318e-02 Validation Loss 3.49150e-02 Time taken: 7.74 seconds 
Epoch: 174/200 Train accuracy: 2.35760e-01 Validation accuracy: 2.13400e-01 Loss 3.44319e-02 Validation Loss 3.49115e-02 Time taken: 7.67 seconds 
Epoch: 175/200 Train accuracy: 2.35320e-01 Validation accuracy: 2.14000e-01 Loss 3.44304e-02 Validation Loss 3.49142e-02 Time taken: 7.49 seconds 
Epoch: 176/200 Train accuracy: 2.35640e-01 Validation accuracy: 2.13700e-01 Loss 3.44293e-02 Validation Loss 3.49116e-02 Time taken: 7.63 seconds 
Epoch: 177/200 Train accuracy: 2.36120e-01 Validation accuracy: 2.13700e-01 Loss 3.44276e-02 Validation Loss 3.49141e-02 Time taken: 8.03 seconds 
Epoch: 178/200 Train accuracy: 2.36320e-01 Validation accuracy: 2.13800e-01 Loss 3.44263e-02 Validation Loss 3.49124e-02 Time taken: 10.51 seconds 
Epoch: 179/200 Train accuracy: 2.35820e-01 Validation accuracy: 2.14800e-01 Loss 3.44265e-02 Validation Loss 3.49136e-02 Time taken: 7.70 seconds 
Epoch: 180/200 Train accuracy: 2.36440e-01 Validation accuracy: 2.14400e-01 Loss 3.44252e-02 Validation Loss 3.49101e-02 Time taken: 8.32 seconds 
Epoch: 181/200 Train accuracy: 2.36400e-01 Validation accuracy: 2.13800e-01 Loss 3.44261e-02 Validation Loss 3.49060e-02 Time taken: 9.46 seconds 
Epoch: 182/200 Train accuracy: 2.36200e-01 Validation accuracy: 2.14600e-01 Loss 3.44254e-02 Validation Loss 3.49061e-02 Time taken: 8.44 seconds 
Epoch: 183/200 Train accuracy: 2.36820e-01 Validation accuracy: 2.15500e-01 Loss 3.44220e-02 Validation Loss 3.49067e-02 Time taken: 7.72 seconds 
Epoch: 184/200 Train accuracy: 2.36400e-01 Validation accuracy: 2.14600e-01 Loss 3.44223e-02 Validation Loss 3.49099e-02 Time taken: 7.78 seconds 
Epoch: 185/200 Train accuracy: 2.37300e-01 Validation accuracy: 2.14400e-01 Loss 3.44206e-02 Validation Loss 3.49097e-02 Time taken: 7.53 seconds 
Epoch: 186/200 Train accuracy: 2.36620e-01 Validation accuracy: 2.14600e-01 Loss 3.44207e-02 Validation Loss 3.49038e-02 Time taken: 7.64 seconds 
Epoch: 187/200 Train accuracy: 2.37180e-01 Validation accuracy: 2.14700e-01 Loss 3.44204e-02 Validation Loss 3.49032e-02 Time taken: 7.74 seconds 
Epoch: 188/200 Train accuracy: 2.37360e-01 Validation accuracy: 2.14700e-01 Loss 3.44193e-02 Validation Loss 3.49062e-02 Time taken: 7.67 seconds 
Epoch: 189/200 Train accuracy: 2.37440e-01 Validation accuracy: 2.14600e-01 Loss 3.44195e-02 Validation Loss 3.49084e-02 Time taken: 7.60 seconds 
Epoch: 190/200 Train accuracy: 2.37020e-01 Validation accuracy: 2.13900e-01 Loss 3.44180e-02 Validation Loss 3.49058e-02 Time taken: 7.60 seconds 
Epoch: 191/200 Train accuracy: 2.37340e-01 Validation accuracy: 2.14800e-01 Loss 3.44171e-02 Validation Loss 3.49073e-02 Time taken: 8.37 seconds 
Epoch: 192/200 Train accuracy: 2.37800e-01 Validation accuracy: 2.13400e-01 Loss 3.44153e-02 Validation Loss 3.49067e-02 Time taken: 7.52 seconds 
Epoch: 193/200 Train accuracy: 2.37640e-01 Validation accuracy: 2.14800e-01 Loss 3.44170e-02 Validation Loss 3.49064e-02 Time taken: 7.69 seconds 
Epoch: 194/200 Train accuracy: 2.37680e-01 Validation accuracy: 2.16200e-01 Loss 3.44151e-02 Validation Loss 3.49048e-02 Time taken: 7.67 seconds 
Epoch: 195/200 Train accuracy: 2.37480e-01 Validation accuracy: 2.15000e-01 Loss 3.44156e-02 Validation Loss 3.49080e-02 Time taken: 10.02 seconds 
Epoch: 196/200 Train accuracy: 2.37620e-01 Validation accuracy: 2.14900e-01 Loss 3.44153e-02 Validation Loss 3.49019e-02 Time taken: 9.46 seconds 
Epoch: 197/200 Train accuracy: 2.37360e-01 Validation accuracy: 2.15600e-01 Loss 3.44130e-02 Validation Loss 3.48993e-02 Time taken: 9.86 seconds 
Epoch: 198/200 Train accuracy: 2.38380e-01 Validation accuracy: 2.14100e-01 Loss 3.44117e-02 Validation Loss 3.49024e-02 Time taken: 9.82 seconds 
Epoch: 199/200 Train accuracy: 2.38220e-01 Validation accuracy: 2.16600e-01 Loss 3.44110e-02 Validation Loss 3.49009e-02 Time taken: 9.95 seconds 
Epoch: 200/200 Train accuracy: 2.38280e-01 Validation accuracy: 2.13700e-01 Loss 3.44100e-02 Validation Loss 3.49036e-02 Time taken: 10.15 seconds 
Total time taken 0:32:07.075850
Cleaning up intermediate feature (.pt) files
Done


working on file logs_STL/stl-l2-pkt-chunks-seed0/jepa-stl-l2-pkt-chunks-seed0-ep200.pth.tar ...
Directory logs_STL/stl-l2-pkt-chunks-seed0/classifiers for saving the classifiers is now present
VisionTransformer(
  (patch_embed): PatchEmbed(
    (proj): Conv2d(3, 768, kernel_size=(15, 15), stride=(15, 15))
  )
  (blocks): ModuleList(
    (0-11): 12 x Block(
      (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (attn): Attention(
        (qkv): Linear(in_features=768, out_features=2304, bias=True)
        (attn_drop): Dropout(p=0.0, inplace=False)
        (proj): Linear(in_features=768, out_features=768, bias=True)
        (proj_drop): Dropout(p=0.0, inplace=False)
      )
      (drop_path): Identity()
      (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (mlp): MLP(
        (fc1): Linear(in_features=768, out_features=3072, bias=True)
        (act): GELU(approximate='none')
        (fc2): Linear(in_features=3072, out_features=768, bias=True)
        (drop): Dropout(p=0.0, inplace=False)
      )
    )
  )
  (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
)
Extracting features and saving them in memory..
Extracting features...
Done extracting features...
 Creating datasets
Created datasets...
 Creating data loaders
Done with data loaders
Commencing training
Epoch: 1/200 Train accuracy: 7.29400e-02 Validation accuracy: 1.05300e-01 Loss 3.56586e-02 Validation Loss 3.58057e-02 Time taken: 9.46 seconds 
Epoch: 2/200 Train accuracy: 1.16580e-01 Validation accuracy: 1.29000e-01 Loss 3.53672e-02 Validation Loss 3.56311e-02 Time taken: 10.16 seconds 
Epoch: 3/200 Train accuracy: 1.37700e-01 Validation accuracy: 1.44900e-01 Loss 3.52237e-02 Validation Loss 3.55304e-02 Time taken: 10.28 seconds 
Epoch: 4/200 Train accuracy: 1.45560e-01 Validation accuracy: 1.46900e-01 Loss 3.51469e-02 Validation Loss 3.54809e-02 Time taken: 9.84 seconds 
Epoch: 5/200 Train accuracy: 1.50400e-01 Validation accuracy: 1.49900e-01 Loss 3.51019e-02 Validation Loss 3.54459e-02 Time taken: 10.07 seconds 
Epoch: 6/200 Train accuracy: 1.53880e-01 Validation accuracy: 1.53800e-01 Loss 3.50655e-02 Validation Loss 3.54134e-02 Time taken: 9.89 seconds 
Epoch: 7/200 Train accuracy: 1.57640e-01 Validation accuracy: 1.52300e-01 Loss 3.50366e-02 Validation Loss 3.54041e-02 Time taken: 9.65 seconds 
Epoch: 8/200 Train accuracy: 1.60740e-01 Validation accuracy: 1.55800e-01 Loss 3.50115e-02 Validation Loss 3.53840e-02 Time taken: 9.59 seconds 
Epoch: 9/200 Train accuracy: 1.62360e-01 Validation accuracy: 1.58600e-01 Loss 3.49913e-02 Validation Loss 3.53618e-02 Time taken: 10.41 seconds 
Epoch: 10/200 Train accuracy: 1.63980e-01 Validation accuracy: 1.57500e-01 Loss 3.49727e-02 Validation Loss 3.53542e-02 Time taken: 9.70 seconds 
Epoch: 11/200 Train accuracy: 1.66680e-01 Validation accuracy: 1.58100e-01 Loss 3.49559e-02 Validation Loss 3.53479e-02 Time taken: 9.30 seconds 
Epoch: 12/200 Train accuracy: 1.68640e-01 Validation accuracy: 1.61000e-01 Loss 3.49434e-02 Validation Loss 3.53308e-02 Time taken: 9.87 seconds 
Epoch: 13/200 Train accuracy: 1.70500e-01 Validation accuracy: 1.64100e-01 Loss 3.49244e-02 Validation Loss 3.53078e-02 Time taken: 10.01 seconds 
Epoch: 14/200 Train accuracy: 1.73040e-01 Validation accuracy: 1.65000e-01 Loss 3.49093e-02 Validation Loss 3.53010e-02 Time taken: 9.62 seconds 
Epoch: 15/200 Train accuracy: 1.74500e-01 Validation accuracy: 1.66500e-01 Loss 3.48973e-02 Validation Loss 3.52938e-02 Time taken: 9.62 seconds 
Epoch: 16/200 Train accuracy: 1.75220e-01 Validation accuracy: 1.66000e-01 Loss 3.48862e-02 Validation Loss 3.52834e-02 Time taken: 9.67 seconds 
Epoch: 17/200 Train accuracy: 1.76520e-01 Validation accuracy: 1.69600e-01 Loss 3.48752e-02 Validation Loss 3.52691e-02 Time taken: 9.88 seconds 
Epoch: 18/200 Train accuracy: 1.78060e-01 Validation accuracy: 1.71400e-01 Loss 3.48642e-02 Validation Loss 3.52639e-02 Time taken: 10.42 seconds 
Epoch: 19/200 Train accuracy: 1.81100e-01 Validation accuracy: 1.73300e-01 Loss 3.48419e-02 Validation Loss 3.52404e-02 Time taken: 10.54 seconds 
Epoch: 20/200 Train accuracy: 1.83540e-01 Validation accuracy: 1.73900e-01 Loss 3.48265e-02 Validation Loss 3.52310e-02 Time taken: 10.16 seconds 
Epoch: 21/200 Train accuracy: 1.84300e-01 Validation accuracy: 1.75400e-01 Loss 3.48133e-02 Validation Loss 3.52249e-02 Time taken: 10.11 seconds 
Epoch: 22/200 Train accuracy: 1.86400e-01 Validation accuracy: 1.76800e-01 Loss 3.48042e-02 Validation Loss 3.52145e-02 Time taken: 9.69 seconds 
Epoch: 23/200 Train accuracy: 1.86580e-01 Validation accuracy: 1.77200e-01 Loss 3.47947e-02 Validation Loss 3.52032e-02 Time taken: 10.08 seconds 
Epoch: 24/200 Train accuracy: 1.87640e-01 Validation accuracy: 1.76400e-01 Loss 3.47867e-02 Validation Loss 3.52060e-02 Time taken: 9.52 seconds 
Epoch: 25/200 Train accuracy: 1.88920e-01 Validation accuracy: 1.79100e-01 Loss 3.47790e-02 Validation Loss 3.51945e-02 Time taken: 9.58 seconds 
Epoch: 26/200 Train accuracy: 1.89380e-01 Validation accuracy: 1.78400e-01 Loss 3.47744e-02 Validation Loss 3.51833e-02 Time taken: 10.47 seconds 
Epoch: 27/200 Train accuracy: 1.90420e-01 Validation accuracy: 1.81200e-01 Loss 3.47669e-02 Validation Loss 3.51787e-02 Time taken: 9.61 seconds 
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Epoch: 29/200 Train accuracy: 1.96160e-01 Validation accuracy: 1.87500e-01 Loss 3.47257e-02 Validation Loss 3.51357e-02 Time taken: 9.90 seconds 
Epoch: 30/200 Train accuracy: 1.98280e-01 Validation accuracy: 1.87300e-01 Loss 3.47124e-02 Validation Loss 3.51243e-02 Time taken: 9.68 seconds 
Epoch: 31/200 Train accuracy: 2.00280e-01 Validation accuracy: 1.90400e-01 Loss 3.46984e-02 Validation Loss 3.51153e-02 Time taken: 9.94 seconds 
Epoch: 32/200 Train accuracy: 2.01220e-01 Validation accuracy: 1.90900e-01 Loss 3.46910e-02 Validation Loss 3.51108e-02 Time taken: 9.69 seconds 
Epoch: 33/200 Train accuracy: 2.01360e-01 Validation accuracy: 1.91400e-01 Loss 3.46836e-02 Validation Loss 3.51054e-02 Time taken: 9.83 seconds 
Epoch: 34/200 Train accuracy: 2.03260e-01 Validation accuracy: 1.91300e-01 Loss 3.46747e-02 Validation Loss 3.50992e-02 Time taken: 9.84 seconds 
Epoch: 35/200 Train accuracy: 2.05580e-01 Validation accuracy: 1.93700e-01 Loss 3.46624e-02 Validation Loss 3.50878e-02 Time taken: 9.79 seconds 
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Epoch: 38/200 Train accuracy: 2.07800e-01 Validation accuracy: 1.96800e-01 Loss 3.46402e-02 Validation Loss 3.50657e-02 Time taken: 9.67 seconds 
Epoch: 39/200 Train accuracy: 2.08440e-01 Validation accuracy: 1.96200e-01 Loss 3.46353e-02 Validation Loss 3.50687e-02 Time taken: 9.62 seconds 
Epoch: 40/200 Train accuracy: 2.08620e-01 Validation accuracy: 1.96100e-01 Loss 3.46305e-02 Validation Loss 3.50608e-02 Time taken: 9.32 seconds 
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Epoch: 44/200 Train accuracy: 2.12520e-01 Validation accuracy: 1.99600e-01 Loss 3.46079e-02 Validation Loss 3.50402e-02 Time taken: 9.92 seconds 
Epoch: 45/200 Train accuracy: 2.12860e-01 Validation accuracy: 2.01100e-01 Loss 3.45982e-02 Validation Loss 3.50375e-02 Time taken: 9.32 seconds 
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Epoch: 50/200 Train accuracy: 2.16600e-01 Validation accuracy: 2.05200e-01 Loss 3.45734e-02 Validation Loss 3.50136e-02 Time taken: 9.81 seconds 
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Epoch: 55/200 Train accuracy: 2.19940e-01 Validation accuracy: 2.05600e-01 Loss 3.45517e-02 Validation Loss 3.50015e-02 Time taken: 10.32 seconds 
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Epoch: 59/200 Train accuracy: 2.21620e-01 Validation accuracy: 2.06900e-01 Loss 3.45387e-02 Validation Loss 3.49856e-02 Time taken: 9.92 seconds 
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Epoch: 61/200 Train accuracy: 2.22720e-01 Validation accuracy: 2.07800e-01 Loss 3.45304e-02 Validation Loss 3.49806e-02 Time taken: 9.98 seconds 
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Epoch: 63/200 Train accuracy: 2.22660e-01 Validation accuracy: 2.09400e-01 Loss 3.45259e-02 Validation Loss 3.49709e-02 Time taken: 9.93 seconds 
Epoch: 64/200 Train accuracy: 2.23680e-01 Validation accuracy: 2.08500e-01 Loss 3.45220e-02 Validation Loss 3.49782e-02 Time taken: 9.73 seconds 
Epoch: 65/200 Train accuracy: 2.24100e-01 Validation accuracy: 2.08500e-01 Loss 3.45193e-02 Validation Loss 3.49747e-02 Time taken: 9.32 seconds 
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Epoch: 78/200 Train accuracy: 2.27840e-01 Validation accuracy: 2.12700e-01 Loss 3.44880e-02 Validation Loss 3.49473e-02 Time taken: 9.99 seconds 
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Epoch: 99/200 Train accuracy: 2.31860e-01 Validation accuracy: 2.13900e-01 Loss 3.44532e-02 Validation Loss 3.49250e-02 Time taken: 9.79 seconds 
Epoch: 100/200 Train accuracy: 2.32980e-01 Validation accuracy: 2.15000e-01 Loss 3.44480e-02 Validation Loss 3.49231e-02 Time taken: 9.69 seconds 
Epoch: 101/200 Train accuracy: 2.33140e-01 Validation accuracy: 2.16900e-01 Loss 3.44488e-02 Validation Loss 3.49165e-02 Time taken: 9.99 seconds 
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Epoch: 105/200 Train accuracy: 2.34100e-01 Validation accuracy: 2.15200e-01 Loss 3.44417e-02 Validation Loss 3.49187e-02 Time taken: 9.40 seconds 
Epoch: 106/200 Train accuracy: 2.34660e-01 Validation accuracy: 2.15500e-01 Loss 3.44397e-02 Validation Loss 3.49165e-02 Time taken: 9.50 seconds 
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Epoch: 108/200 Train accuracy: 2.34860e-01 Validation accuracy: 2.15700e-01 Loss 3.44360e-02 Validation Loss 3.49145e-02 Time taken: 10.26 seconds 
Epoch: 109/200 Train accuracy: 2.35500e-01 Validation accuracy: 2.15900e-01 Loss 3.44346e-02 Validation Loss 3.49138e-02 Time taken: 10.04 seconds 
Epoch: 110/200 Train accuracy: 2.35560e-01 Validation accuracy: 2.16200e-01 Loss 3.44328e-02 Validation Loss 3.49110e-02 Time taken: 10.39 seconds 
Epoch: 111/200 Train accuracy: 2.34640e-01 Validation accuracy: 2.17100e-01 Loss 3.44323e-02 Validation Loss 3.49091e-02 Time taken: 9.73 seconds 
Epoch: 112/200 Train accuracy: 2.35420e-01 Validation accuracy: 2.17400e-01 Loss 3.44307e-02 Validation Loss 3.49051e-02 Time taken: 10.00 seconds 
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Epoch: 114/200 Train accuracy: 2.35960e-01 Validation accuracy: 2.16800e-01 Loss 3.44279e-02 Validation Loss 3.49070e-02 Time taken: 10.47 seconds 
Epoch: 115/200 Train accuracy: 2.36200e-01 Validation accuracy: 2.15900e-01 Loss 3.44267e-02 Validation Loss 3.49099e-02 Time taken: 9.82 seconds 
Epoch: 116/200 Train accuracy: 2.36860e-01 Validation accuracy: 2.16700e-01 Loss 3.44233e-02 Validation Loss 3.49069e-02 Time taken: 10.02 seconds 
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Epoch: 119/200 Train accuracy: 2.37080e-01 Validation accuracy: 2.15900e-01 Loss 3.44209e-02 Validation Loss 3.49093e-02 Time taken: 9.55 seconds 
Epoch: 120/200 Train accuracy: 2.37700e-01 Validation accuracy: 2.14900e-01 Loss 3.44186e-02 Validation Loss 3.49056e-02 Time taken: 9.60 seconds 
Epoch: 121/200 Train accuracy: 2.37460e-01 Validation accuracy: 2.17200e-01 Loss 3.44183e-02 Validation Loss 3.49009e-02 Time taken: 9.91 seconds 
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Epoch: 126/200 Train accuracy: 2.38940e-01 Validation accuracy: 2.17400e-01 Loss 3.44096e-02 Validation Loss 3.49009e-02 Time taken: 9.68 seconds 
Epoch: 127/200 Train accuracy: 2.38060e-01 Validation accuracy: 2.17500e-01 Loss 3.44071e-02 Validation Loss 3.48988e-02 Time taken: 9.59 seconds 
Epoch: 128/200 Train accuracy: 2.39680e-01 Validation accuracy: 2.16800e-01 Loss 3.44064e-02 Validation Loss 3.49025e-02 Time taken: 9.82 seconds 
Epoch: 129/200 Train accuracy: 2.39740e-01 Validation accuracy: 2.16900e-01 Loss 3.44048e-02 Validation Loss 3.48958e-02 Time taken: 9.52 seconds 
Epoch: 130/200 Train accuracy: 2.40460e-01 Validation accuracy: 2.16500e-01 Loss 3.44022e-02 Validation Loss 3.48994e-02 Time taken: 9.51 seconds 
Epoch: 131/200 Train accuracy: 2.39280e-01 Validation accuracy: 2.18200e-01 Loss 3.44020e-02 Validation Loss 3.48952e-02 Time taken: 9.81 seconds 
Epoch: 132/200 Train accuracy: 2.40400e-01 Validation accuracy: 2.17600e-01 Loss 3.44019e-02 Validation Loss 3.48971e-02 Time taken: 9.94 seconds 
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Epoch: 181/200 Train accuracy: 2.53460e-01 Validation accuracy: 2.26600e-01 Loss 3.43140e-02 Validation Loss 3.48373e-02 Time taken: 7.65 seconds 
Epoch: 182/200 Train accuracy: 2.53040e-01 Validation accuracy: 2.24000e-01 Loss 3.43117e-02 Validation Loss 3.48397e-02 Time taken: 7.50 seconds 
Epoch: 183/200 Train accuracy: 2.53960e-01 Validation accuracy: 2.25300e-01 Loss 3.43081e-02 Validation Loss 3.48358e-02 Time taken: 7.54 seconds 
Epoch: 184/200 Train accuracy: 2.52900e-01 Validation accuracy: 2.25200e-01 Loss 3.43100e-02 Validation Loss 3.48344e-02 Time taken: 7.53 seconds 
Epoch: 185/200 Train accuracy: 2.53420e-01 Validation accuracy: 2.26400e-01 Loss 3.43081e-02 Validation Loss 3.48333e-02 Time taken: 7.58 seconds 
Epoch: 186/200 Train accuracy: 2.53600e-01 Validation accuracy: 2.26500e-01 Loss 3.43059e-02 Validation Loss 3.48307e-02 Time taken: 7.62 seconds 
Epoch: 187/200 Train accuracy: 2.54500e-01 Validation accuracy: 2.26600e-01 Loss 3.43051e-02 Validation Loss 3.48261e-02 Time taken: 7.45 seconds 
Epoch: 188/200 Train accuracy: 2.54620e-01 Validation accuracy: 2.24500e-01 Loss 3.43030e-02 Validation Loss 3.48358e-02 Time taken: 7.57 seconds 
Epoch: 189/200 Train accuracy: 2.55060e-01 Validation accuracy: 2.26200e-01 Loss 3.43033e-02 Validation Loss 3.48297e-02 Time taken: 7.52 seconds 
Epoch: 190/200 Train accuracy: 2.55260e-01 Validation accuracy: 2.27600e-01 Loss 3.43015e-02 Validation Loss 3.48264e-02 Time taken: 8.07 seconds 
Epoch: 191/200 Train accuracy: 2.55380e-01 Validation accuracy: 2.27300e-01 Loss 3.42967e-02 Validation Loss 3.48237e-02 Time taken: 7.75 seconds 
Epoch: 192/200 Train accuracy: 2.55740e-01 Validation accuracy: 2.27700e-01 Loss 3.42935e-02 Validation Loss 3.48226e-02 Time taken: 7.52 seconds 
Epoch: 193/200 Train accuracy: 2.56680e-01 Validation accuracy: 2.27900e-01 Loss 3.42909e-02 Validation Loss 3.48202e-02 Time taken: 7.46 seconds 
Epoch: 194/200 Train accuracy: 2.55980e-01 Validation accuracy: 2.29000e-01 Loss 3.42903e-02 Validation Loss 3.48167e-02 Time taken: 8.04 seconds 
Epoch: 195/200 Train accuracy: 2.57060e-01 Validation accuracy: 2.29700e-01 Loss 3.42890e-02 Validation Loss 3.48175e-02 Time taken: 9.60 seconds 
Epoch: 196/200 Train accuracy: 2.56600e-01 Validation accuracy: 2.29400e-01 Loss 3.42889e-02 Validation Loss 3.48147e-02 Time taken: 9.63 seconds 
Epoch: 197/200 Train accuracy: 2.58240e-01 Validation accuracy: 2.27300e-01 Loss 3.42825e-02 Validation Loss 3.48215e-02 Time taken: 9.50 seconds 
Epoch: 198/200 Train accuracy: 2.56980e-01 Validation accuracy: 2.29000e-01 Loss 3.42851e-02 Validation Loss 3.48114e-02 Time taken: 9.58 seconds 
Epoch: 199/200 Train accuracy: 2.58500e-01 Validation accuracy: 2.28900e-01 Loss 3.42830e-02 Validation Loss 3.48083e-02 Time taken: 9.58 seconds 
Epoch: 200/200 Train accuracy: 2.58220e-01 Validation accuracy: 2.29800e-01 Loss 3.42811e-02 Validation Loss 3.48101e-02 Time taken: 9.92 seconds 
Total time taken 0:31:47.244455
Cleaning up intermediate feature (.pt) files
Done


working on file logs_STL/stl-l2-pkt-chunks-seed0/jepa-stl-l2-pkt-chunks-seed0-ep250.pth.tar ...
Directory logs_STL/stl-l2-pkt-chunks-seed0/classifiers for saving the classifiers is now present
VisionTransformer(
  (patch_embed): PatchEmbed(
    (proj): Conv2d(3, 768, kernel_size=(15, 15), stride=(15, 15))
  )
  (blocks): ModuleList(
    (0-11): 12 x Block(
      (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (attn): Attention(
        (qkv): Linear(in_features=768, out_features=2304, bias=True)
        (attn_drop): Dropout(p=0.0, inplace=False)
        (proj): Linear(in_features=768, out_features=768, bias=True)
        (proj_drop): Dropout(p=0.0, inplace=False)
      )
      (drop_path): Identity()
      (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (mlp): MLP(
        (fc1): Linear(in_features=768, out_features=3072, bias=True)
        (act): GELU(approximate='none')
        (fc2): Linear(in_features=3072, out_features=768, bias=True)
        (drop): Dropout(p=0.0, inplace=False)
      )
    )
  )
  (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
)
Extracting features and saving them in memory..
Extracting features...
Done extracting features...
 Creating datasets
Created datasets...
 Creating data loaders
Done with data loaders
Commencing training
Epoch: 1/200 Train accuracy: 8.32600e-02 Validation accuracy: 1.24800e-01 Loss 3.56195e-02 Validation Loss 3.56899e-02 Time taken: 9.55 seconds 
Epoch: 2/200 Train accuracy: 1.39220e-01 Validation accuracy: 1.50700e-01 Loss 3.52330e-02 Validation Loss 3.55048e-02 Time taken: 9.91 seconds 
Epoch: 3/200 Train accuracy: 1.59920e-01 Validation accuracy: 1.66200e-01 Loss 3.50756e-02 Validation Loss 3.53809e-02 Time taken: 9.74 seconds 
Epoch: 4/200 Train accuracy: 1.70640e-01 Validation accuracy: 1.70500e-01 Loss 3.49769e-02 Validation Loss 3.53211e-02 Time taken: 9.83 seconds 
Epoch: 5/200 Train accuracy: 1.76840e-01 Validation accuracy: 1.78600e-01 Loss 3.49207e-02 Validation Loss 3.52650e-02 Time taken: 9.34 seconds 
Epoch: 6/200 Train accuracy: 1.83260e-01 Validation accuracy: 1.84700e-01 Loss 3.48695e-02 Validation Loss 3.52172e-02 Time taken: 9.87 seconds 
Epoch: 7/200 Train accuracy: 1.90100e-01 Validation accuracy: 1.88600e-01 Loss 3.48196e-02 Validation Loss 3.51822e-02 Time taken: 9.92 seconds 
Epoch: 8/200 Train accuracy: 1.96580e-01 Validation accuracy: 1.93500e-01 Loss 3.47734e-02 Validation Loss 3.51439e-02 Time taken: 9.45 seconds 
Epoch: 9/200 Train accuracy: 2.01180e-01 Validation accuracy: 1.95300e-01 Loss 3.47377e-02 Validation Loss 3.51226e-02 Time taken: 9.77 seconds 
Epoch: 10/200 Train accuracy: 2.04240e-01 Validation accuracy: 1.98500e-01 Loss 3.47089e-02 Validation Loss 3.50951e-02 Time taken: 9.94 seconds 
Epoch: 11/200 Train accuracy: 2.07140e-01 Validation accuracy: 2.01700e-01 Loss 3.46803e-02 Validation Loss 3.50660e-02 Time taken: 9.67 seconds 
Epoch: 12/200 Train accuracy: 2.09300e-01 Validation accuracy: 2.04000e-01 Loss 3.46551e-02 Validation Loss 3.50440e-02 Time taken: 9.35 seconds 
Epoch: 13/200 Train accuracy: 2.12920e-01 Validation accuracy: 2.06100e-01 Loss 3.46351e-02 Validation Loss 3.50299e-02 Time taken: 9.51 seconds 
Epoch: 14/200 Train accuracy: 2.14620e-01 Validation accuracy: 2.07900e-01 Loss 3.46195e-02 Validation Loss 3.50138e-02 Time taken: 10.03 seconds 
Epoch: 15/200 Train accuracy: 2.16500e-01 Validation accuracy: 2.09200e-01 Loss 3.46021e-02 Validation Loss 3.49987e-02 Time taken: 9.22 seconds 
Epoch: 16/200 Train accuracy: 2.18780e-01 Validation accuracy: 2.11000e-01 Loss 3.45870e-02 Validation Loss 3.49900e-02 Time taken: 9.89 seconds 
Epoch: 17/200 Train accuracy: 2.20060e-01 Validation accuracy: 2.12100e-01 Loss 3.45744e-02 Validation Loss 3.49761e-02 Time taken: 9.98 seconds 
Epoch: 18/200 Train accuracy: 2.21920e-01 Validation accuracy: 2.14900e-01 Loss 3.45612e-02 Validation Loss 3.49618e-02 Time taken: 9.70 seconds 
Epoch: 19/200 Train accuracy: 2.23360e-01 Validation accuracy: 2.13300e-01 Loss 3.45489e-02 Validation Loss 3.49556e-02 Time taken: 10.41 seconds 
Epoch: 20/200 Train accuracy: 2.24960e-01 Validation accuracy: 2.16100e-01 Loss 3.45381e-02 Validation Loss 3.49466e-02 Time taken: 9.36 seconds 
Epoch: 21/200 Train accuracy: 2.25180e-01 Validation accuracy: 2.16900e-01 Loss 3.45280e-02 Validation Loss 3.49422e-02 Time taken: 9.46 seconds 
Epoch: 22/200 Train accuracy: 2.26180e-01 Validation accuracy: 2.16800e-01 Loss 3.45169e-02 Validation Loss 3.49254e-02 Time taken: 9.05 seconds 
Epoch: 23/200 Train accuracy: 2.27500e-01 Validation accuracy: 2.19600e-01 Loss 3.45068e-02 Validation Loss 3.49224e-02 Time taken: 9.62 seconds 
Epoch: 24/200 Train accuracy: 2.28940e-01 Validation accuracy: 2.19300e-01 Loss 3.44978e-02 Validation Loss 3.49171e-02 Time taken: 9.46 seconds 
Epoch: 25/200 Train accuracy: 2.29380e-01 Validation accuracy: 2.20200e-01 Loss 3.44897e-02 Validation Loss 3.49085e-02 Time taken: 10.03 seconds 
Epoch: 26/200 Train accuracy: 2.30880e-01 Validation accuracy: 2.21000e-01 Loss 3.44811e-02 Validation Loss 3.48999e-02 Time taken: 9.55 seconds 
Epoch: 27/200 Train accuracy: 2.31640e-01 Validation accuracy: 2.21300e-01 Loss 3.44743e-02 Validation Loss 3.48922e-02 Time taken: 9.69 seconds 
Epoch: 28/200 Train accuracy: 2.33200e-01 Validation accuracy: 2.20200e-01 Loss 3.44667e-02 Validation Loss 3.48943e-02 Time taken: 10.04 seconds 
Epoch: 29/200 Train accuracy: 2.32660e-01 Validation accuracy: 2.23400e-01 Loss 3.44610e-02 Validation Loss 3.48827e-02 Time taken: 9.39 seconds 
Epoch: 30/200 Train accuracy: 2.33720e-01 Validation accuracy: 2.25100e-01 Loss 3.44555e-02 Validation Loss 3.48782e-02 Time taken: 9.46 seconds 
Epoch: 31/200 Train accuracy: 2.34540e-01 Validation accuracy: 2.22500e-01 Loss 3.44463e-02 Validation Loss 3.48724e-02 Time taken: 9.50 seconds 
Epoch: 32/200 Train accuracy: 2.35620e-01 Validation accuracy: 2.22900e-01 Loss 3.44410e-02 Validation Loss 3.48703e-02 Time taken: 9.51 seconds 
Epoch: 33/200 Train accuracy: 2.35920e-01 Validation accuracy: 2.25500e-01 Loss 3.44365e-02 Validation Loss 3.48645e-02 Time taken: 9.80 seconds 
Epoch: 34/200 Train accuracy: 2.37580e-01 Validation accuracy: 2.23500e-01 Loss 3.44287e-02 Validation Loss 3.48615e-02 Time taken: 9.51 seconds 
Epoch: 35/200 Train accuracy: 2.38440e-01 Validation accuracy: 2.23900e-01 Loss 3.44216e-02 Validation Loss 3.48499e-02 Time taken: 10.24 seconds 
Epoch: 36/200 Train accuracy: 2.38580e-01 Validation accuracy: 2.27600e-01 Loss 3.44153e-02 Validation Loss 3.48478e-02 Time taken: 10.00 seconds 
Epoch: 37/200 Train accuracy: 2.39420e-01 Validation accuracy: 2.25400e-01 Loss 3.44116e-02 Validation Loss 3.48470e-02 Time taken: 9.24 seconds 
Epoch: 38/200 Train accuracy: 2.39880e-01 Validation accuracy: 2.27200e-01 Loss 3.44036e-02 Validation Loss 3.48370e-02 Time taken: 9.87 seconds 
Epoch: 39/200 Train accuracy: 2.40380e-01 Validation accuracy: 2.26100e-01 Loss 3.43981e-02 Validation Loss 3.48383e-02 Time taken: 9.90 seconds 
Epoch: 40/200 Train accuracy: 2.41200e-01 Validation accuracy: 2.26700e-01 Loss 3.43927e-02 Validation Loss 3.48344e-02 Time taken: 9.50 seconds 
Epoch: 41/200 Train accuracy: 2.43160e-01 Validation accuracy: 2.28400e-01 Loss 3.43857e-02 Validation Loss 3.48259e-02 Time taken: 9.51 seconds 
Epoch: 42/200 Train accuracy: 2.44480e-01 Validation accuracy: 2.29600e-01 Loss 3.43744e-02 Validation Loss 3.48238e-02 Time taken: 9.31 seconds 
Epoch: 43/200 Train accuracy: 2.45080e-01 Validation accuracy: 2.30000e-01 Loss 3.43682e-02 Validation Loss 3.48162e-02 Time taken: 9.61 seconds 
Epoch: 44/200 Train accuracy: 2.45760e-01 Validation accuracy: 2.31000e-01 Loss 3.43629e-02 Validation Loss 3.48115e-02 Time taken: 9.64 seconds 
Epoch: 45/200 Train accuracy: 2.46580e-01 Validation accuracy: 2.32100e-01 Loss 3.43551e-02 Validation Loss 3.48096e-02 Time taken: 9.37 seconds 
Epoch: 46/200 Train accuracy: 2.47920e-01 Validation accuracy: 2.31500e-01 Loss 3.43473e-02 Validation Loss 3.48030e-02 Time taken: 9.41 seconds 
Epoch: 47/200 Train accuracy: 2.50240e-01 Validation accuracy: 2.31500e-01 Loss 3.43361e-02 Validation Loss 3.47957e-02 Time taken: 10.11 seconds 
Epoch: 48/200 Train accuracy: 2.51140e-01 Validation accuracy: 2.34500e-01 Loss 3.43286e-02 Validation Loss 3.47917e-02 Time taken: 9.69 seconds 
Epoch: 49/200 Train accuracy: 2.52840e-01 Validation accuracy: 2.35900e-01 Loss 3.43194e-02 Validation Loss 3.47846e-02 Time taken: 9.04 seconds 
Epoch: 50/200 Train accuracy: 2.53100e-01 Validation accuracy: 2.36000e-01 Loss 3.43136e-02 Validation Loss 3.47752e-02 Time taken: 9.53 seconds 
Epoch: 51/200 Train accuracy: 2.54220e-01 Validation accuracy: 2.37700e-01 Loss 3.43044e-02 Validation Loss 3.47663e-02 Time taken: 9.28 seconds 
Epoch: 52/200 Train accuracy: 2.54420e-01 Validation accuracy: 2.37600e-01 Loss 3.42995e-02 Validation Loss 3.47626e-02 Time taken: 9.27 seconds 
Epoch: 53/200 Train accuracy: 2.56940e-01 Validation accuracy: 2.39700e-01 Loss 3.42882e-02 Validation Loss 3.47587e-02 Time taken: 9.68 seconds 
Epoch: 54/200 Train accuracy: 2.58380e-01 Validation accuracy: 2.39900e-01 Loss 3.42803e-02 Validation Loss 3.47532e-02 Time taken: 9.38 seconds 
Epoch: 55/200 Train accuracy: 2.58960e-01 Validation accuracy: 2.40100e-01 Loss 3.42749e-02 Validation Loss 3.47502e-02 Time taken: 9.86 seconds 
Epoch: 56/200 Train accuracy: 2.59180e-01 Validation accuracy: 2.41800e-01 Loss 3.42705e-02 Validation Loss 3.47395e-02 Time taken: 9.23 seconds 
Epoch: 57/200 Train accuracy: 2.60700e-01 Validation accuracy: 2.40300e-01 Loss 3.42617e-02 Validation Loss 3.47358e-02 Time taken: 9.18 seconds 
Epoch: 58/200 Train accuracy: 2.60580e-01 Validation accuracy: 2.41800e-01 Loss 3.42573e-02 Validation Loss 3.47315e-02 Time taken: 9.82 seconds 
Epoch: 59/200 Train accuracy: 2.63520e-01 Validation accuracy: 2.42500e-01 Loss 3.42494e-02 Validation Loss 3.47298e-02 Time taken: 9.55 seconds 
Epoch: 60/200 Train accuracy: 2.62740e-01 Validation accuracy: 2.46000e-01 Loss 3.42460e-02 Validation Loss 3.47153e-02 Time taken: 9.47 seconds 
Epoch: 61/200 Train accuracy: 2.63820e-01 Validation accuracy: 2.44400e-01 Loss 3.42409e-02 Validation Loss 3.47163e-02 Time taken: 9.64 seconds 
Epoch: 62/200 Train accuracy: 2.64140e-01 Validation accuracy: 2.44900e-01 Loss 3.42354e-02 Validation Loss 3.47131e-02 Time taken: 9.10 seconds 
Epoch: 63/200 Train accuracy: 2.65480e-01 Validation accuracy: 2.45100e-01 Loss 3.42296e-02 Validation Loss 3.47082e-02 Time taken: 9.40 seconds 
Epoch: 64/200 Train accuracy: 2.66300e-01 Validation accuracy: 2.43400e-01 Loss 3.42261e-02 Validation Loss 3.47086e-02 Time taken: 9.59 seconds 
Epoch: 65/200 Train accuracy: 2.65980e-01 Validation accuracy: 2.46200e-01 Loss 3.42219e-02 Validation Loss 3.47025e-02 Time taken: 9.93 seconds 
Epoch: 66/200 Train accuracy: 2.66780e-01 Validation accuracy: 2.46900e-01 Loss 3.42188e-02 Validation Loss 3.46937e-02 Time taken: 9.24 seconds 
Epoch: 67/200 Train accuracy: 2.67760e-01 Validation accuracy: 2.47900e-01 Loss 3.42143e-02 Validation Loss 3.46971e-02 Time taken: 9.83 seconds 
Epoch: 68/200 Train accuracy: 2.67760e-01 Validation accuracy: 2.47900e-01 Loss 3.42120e-02 Validation Loss 3.46910e-02 Time taken: 9.49 seconds 
Epoch: 69/200 Train accuracy: 2.68120e-01 Validation accuracy: 2.47500e-01 Loss 3.42095e-02 Validation Loss 3.46868e-02 Time taken: 9.68 seconds 
Epoch: 70/200 Train accuracy: 2.68740e-01 Validation accuracy: 2.47600e-01 Loss 3.42051e-02 Validation Loss 3.46906e-02 Time taken: 10.32 seconds 
Epoch: 71/200 Train accuracy: 2.69520e-01 Validation accuracy: 2.49700e-01 Loss 3.42014e-02 Validation Loss 3.46846e-02 Time taken: 9.97 seconds 
Epoch: 72/200 Train accuracy: 2.69680e-01 Validation accuracy: 2.49700e-01 Loss 3.41998e-02 Validation Loss 3.46816e-02 Time taken: 9.34 seconds 
Epoch: 73/200 Train accuracy: 2.70060e-01 Validation accuracy: 2.48000e-01 Loss 3.41935e-02 Validation Loss 3.46820e-02 Time taken: 9.34 seconds 
Epoch: 74/200 Train accuracy: 2.69740e-01 Validation accuracy: 2.48500e-01 Loss 3.41935e-02 Validation Loss 3.46783e-02 Time taken: 9.45 seconds 
Epoch: 75/200 Train accuracy: 2.70620e-01 Validation accuracy: 2.47400e-01 Loss 3.41888e-02 Validation Loss 3.46809e-02 Time taken: 9.61 seconds 
Epoch: 76/200 Train accuracy: 2.70200e-01 Validation accuracy: 2.50900e-01 Loss 3.41879e-02 Validation Loss 3.46711e-02 Time taken: 9.84 seconds 
Epoch: 77/200 Train accuracy: 2.71100e-01 Validation accuracy: 2.51500e-01 Loss 3.41834e-02 Validation Loss 3.46658e-02 Time taken: 9.57 seconds 
Epoch: 78/200 Train accuracy: 2.71440e-01 Validation accuracy: 2.50700e-01 Loss 3.41814e-02 Validation Loss 3.46654e-02 Time taken: 9.88 seconds 
Epoch: 79/200 Train accuracy: 2.72560e-01 Validation accuracy: 2.49800e-01 Loss 3.41777e-02 Validation Loss 3.46648e-02 Time taken: 9.18 seconds 
Epoch: 80/200 Train accuracy: 2.72220e-01 Validation accuracy: 2.49700e-01 Loss 3.41758e-02 Validation Loss 3.46618e-02 Time taken: 10.12 seconds 
Epoch: 81/200 Train accuracy: 2.72300e-01 Validation accuracy: 2.50100e-01 Loss 3.41737e-02 Validation Loss 3.46594e-02 Time taken: 9.37 seconds 
Epoch: 82/200 Train accuracy: 2.72500e-01 Validation accuracy: 2.49200e-01 Loss 3.41707e-02 Validation Loss 3.46668e-02 Time taken: 9.56 seconds 
Epoch: 83/200 Train accuracy: 2.73700e-01 Validation accuracy: 2.52100e-01 Loss 3.41672e-02 Validation Loss 3.46529e-02 Time taken: 9.59 seconds 
Epoch: 84/200 Train accuracy: 2.73160e-01 Validation accuracy: 2.51500e-01 Loss 3.41660e-02 Validation Loss 3.46574e-02 Time taken: 9.67 seconds 
Epoch: 85/200 Train accuracy: 2.74420e-01 Validation accuracy: 2.50500e-01 Loss 3.41641e-02 Validation Loss 3.46548e-02 Time taken: 9.83 seconds 
Epoch: 86/200 Train accuracy: 2.74720e-01 Validation accuracy: 2.50500e-01 Loss 3.41608e-02 Validation Loss 3.46592e-02 Time taken: 9.59 seconds 
Epoch: 87/200 Train accuracy: 2.74160e-01 Validation accuracy: 2.50900e-01 Loss 3.41584e-02 Validation Loss 3.46494e-02 Time taken: 10.12 seconds 
Epoch: 88/200 Train accuracy: 2.75340e-01 Validation accuracy: 2.52700e-01 Loss 3.41557e-02 Validation Loss 3.46468e-02 Time taken: 9.25 seconds 
Epoch: 89/200 Train accuracy: 2.74460e-01 Validation accuracy: 2.52300e-01 Loss 3.41538e-02 Validation Loss 3.46476e-02 Time taken: 9.72 seconds 
Epoch: 90/200 Train accuracy: 2.75000e-01 Validation accuracy: 2.52400e-01 Loss 3.41509e-02 Validation Loss 3.46445e-02 Time taken: 9.60 seconds 
Epoch: 91/200 Train accuracy: 2.75400e-01 Validation accuracy: 2.51900e-01 Loss 3.41497e-02 Validation Loss 3.46457e-02 Time taken: 9.74 seconds 
Epoch: 92/200 Train accuracy: 2.76420e-01 Validation accuracy: 2.53000e-01 Loss 3.41484e-02 Validation Loss 3.46424e-02 Time taken: 9.61 seconds 
Epoch: 93/200 Train accuracy: 2.75860e-01 Validation accuracy: 2.52400e-01 Loss 3.41447e-02 Validation Loss 3.46389e-02 Time taken: 10.18 seconds 
Epoch: 94/200 Train accuracy: 2.76900e-01 Validation accuracy: 2.52500e-01 Loss 3.41440e-02 Validation Loss 3.46382e-02 Time taken: 9.56 seconds 
Epoch: 95/200 Train accuracy: 2.76640e-01 Validation accuracy: 2.51400e-01 Loss 3.41412e-02 Validation Loss 3.46405e-02 Time taken: 9.96 seconds 
Epoch: 96/200 Train accuracy: 2.77320e-01 Validation accuracy: 2.53800e-01 Loss 3.41381e-02 Validation Loss 3.46365e-02 Time taken: 9.70 seconds 
Epoch: 97/200 Train accuracy: 2.77180e-01 Validation accuracy: 2.51300e-01 Loss 3.41376e-02 Validation Loss 3.46387e-02 Time taken: 9.62 seconds 
Epoch: 98/200 Train accuracy: 2.77080e-01 Validation accuracy: 2.54900e-01 Loss 3.41346e-02 Validation Loss 3.46334e-02 Time taken: 9.37 seconds 
Epoch: 99/200 Train accuracy: 2.78280e-01 Validation accuracy: 2.51500e-01 Loss 3.41348e-02 Validation Loss 3.46352e-02 Time taken: 9.43 seconds 
Epoch: 100/200 Train accuracy: 2.77780e-01 Validation accuracy: 2.53600e-01 Loss 3.41318e-02 Validation Loss 3.46298e-02 Time taken: 9.45 seconds 
Epoch: 101/200 Train accuracy: 2.78140e-01 Validation accuracy: 2.51700e-01 Loss 3.41299e-02 Validation Loss 3.46310e-02 Time taken: 9.95 seconds 
Epoch: 102/200 Train accuracy: 2.79080e-01 Validation accuracy: 2.53000e-01 Loss 3.41283e-02 Validation Loss 3.46318e-02 Time taken: 9.77 seconds 
Epoch: 103/200 Train accuracy: 2.78380e-01 Validation accuracy: 2.52800e-01 Loss 3.41271e-02 Validation Loss 3.46251e-02 Time taken: 9.58 seconds 
Epoch: 104/200 Train accuracy: 2.79180e-01 Validation accuracy: 2.55800e-01 Loss 3.41246e-02 Validation Loss 3.46232e-02 Time taken: 9.49 seconds 
Epoch: 105/200 Train accuracy: 2.79440e-01 Validation accuracy: 2.53900e-01 Loss 3.41231e-02 Validation Loss 3.46259e-02 Time taken: 9.67 seconds 
Epoch: 106/200 Train accuracy: 2.79500e-01 Validation accuracy: 2.52300e-01 Loss 3.41216e-02 Validation Loss 3.46281e-02 Time taken: 9.43 seconds 
Epoch: 107/200 Train accuracy: 2.79780e-01 Validation accuracy: 2.53500e-01 Loss 3.41206e-02 Validation Loss 3.46288e-02 Time taken: 10.43 seconds 
Epoch: 108/200 Train accuracy: 2.80200e-01 Validation accuracy: 2.52500e-01 Loss 3.41173e-02 Validation Loss 3.46265e-02 Time taken: 9.70 seconds 
Epoch: 109/200 Train accuracy: 2.80100e-01 Validation accuracy: 2.55000e-01 Loss 3.41175e-02 Validation Loss 3.46248e-02 Time taken: 8.87 seconds 
Epoch: 110/200 Train accuracy: 2.80440e-01 Validation accuracy: 2.55400e-01 Loss 3.41155e-02 Validation Loss 3.46193e-02 Time taken: 9.68 seconds 
Epoch: 111/200 Train accuracy: 2.80780e-01 Validation accuracy: 2.53800e-01 Loss 3.41136e-02 Validation Loss 3.46249e-02 Time taken: 9.24 seconds 
Epoch: 112/200 Train accuracy: 2.80280e-01 Validation accuracy: 2.55300e-01 Loss 3.41125e-02 Validation Loss 3.46188e-02 Time taken: 9.28 seconds 
Epoch: 113/200 Train accuracy: 2.80500e-01 Validation accuracy: 2.55600e-01 Loss 3.41097e-02 Validation Loss 3.46176e-02 Time taken: 9.58 seconds 
Epoch: 114/200 Train accuracy: 2.81280e-01 Validation accuracy: 2.54600e-01 Loss 3.41102e-02 Validation Loss 3.46162e-02 Time taken: 9.75 seconds 
Epoch: 115/200 Train accuracy: 2.81240e-01 Validation accuracy: 2.55200e-01 Loss 3.41062e-02 Validation Loss 3.46192e-02 Time taken: 9.58 seconds 
Epoch: 116/200 Train accuracy: 2.80920e-01 Validation accuracy: 2.55300e-01 Loss 3.41075e-02 Validation Loss 3.46135e-02 Time taken: 9.83 seconds 
Epoch: 117/200 Train accuracy: 2.81360e-01 Validation accuracy: 2.55800e-01 Loss 3.41041e-02 Validation Loss 3.46151e-02 Time taken: 10.03 seconds 
Epoch: 118/200 Train accuracy: 2.82200e-01 Validation accuracy: 2.54800e-01 Loss 3.41036e-02 Validation Loss 3.46135e-02 Time taken: 9.60 seconds 
Epoch: 119/200 Train accuracy: 2.81560e-01 Validation accuracy: 2.54100e-01 Loss 3.41017e-02 Validation Loss 3.46134e-02 Time taken: 9.57 seconds 
Epoch: 120/200 Train accuracy: 2.82820e-01 Validation accuracy: 2.55000e-01 Loss 3.40992e-02 Validation Loss 3.46123e-02 Time taken: 9.52 seconds 
Epoch: 121/200 Train accuracy: 2.82540e-01 Validation accuracy: 2.56600e-01 Loss 3.40990e-02 Validation Loss 3.46112e-02 Time taken: 9.63 seconds 
Epoch: 122/200 Train accuracy: 2.82820e-01 Validation accuracy: 2.54900e-01 Loss 3.40969e-02 Validation Loss 3.46103e-02 Time taken: 9.55 seconds 
Epoch: 123/200 Train accuracy: 2.82860e-01 Validation accuracy: 2.55400e-01 Loss 3.40961e-02 Validation Loss 3.46076e-02 Time taken: 10.05 seconds 
Epoch: 124/200 Train accuracy: 2.83140e-01 Validation accuracy: 2.56100e-01 Loss 3.40947e-02 Validation Loss 3.46106e-02 Time taken: 9.64 seconds 
Epoch: 125/200 Train accuracy: 2.83580e-01 Validation accuracy: 2.55500e-01 Loss 3.40929e-02 Validation Loss 3.46085e-02 Time taken: 9.57 seconds 
Epoch: 126/200 Train accuracy: 2.83700e-01 Validation accuracy: 2.55900e-01 Loss 3.40937e-02 Validation Loss 3.46078e-02 Time taken: 9.40 seconds 
Epoch: 127/200 Train accuracy: 2.83980e-01 Validation accuracy: 2.57100e-01 Loss 3.40901e-02 Validation Loss 3.46037e-02 Time taken: 9.91 seconds 
Epoch: 128/200 Train accuracy: 2.84060e-01 Validation accuracy: 2.55600e-01 Loss 3.40888e-02 Validation Loss 3.46118e-02 Time taken: 9.14 seconds 
Epoch: 129/200 Train accuracy: 2.83680e-01 Validation accuracy: 2.54500e-01 Loss 3.40876e-02 Validation Loss 3.46133e-02 Time taken: 9.54 seconds 
Epoch: 130/200 Train accuracy: 2.84440e-01 Validation accuracy: 2.56300e-01 Loss 3.40870e-02 Validation Loss 3.46025e-02 Time taken: 9.22 seconds 
Epoch: 131/200 Train accuracy: 2.84500e-01 Validation accuracy: 2.57000e-01 Loss 3.40853e-02 Validation Loss 3.46041e-02 Time taken: 9.67 seconds 
Epoch: 132/200 Train accuracy: 2.83600e-01 Validation accuracy: 2.55900e-01 Loss 3.40857e-02 Validation Loss 3.45997e-02 Time taken: 9.15 seconds 
Epoch: 133/200 Train accuracy: 2.85280e-01 Validation accuracy: 2.55700e-01 Loss 3.40835e-02 Validation Loss 3.45999e-02 Time taken: 9.46 seconds 
Epoch: 134/200 Train accuracy: 2.84940e-01 Validation accuracy: 2.55400e-01 Loss 3.40803e-02 Validation Loss 3.46043e-02 Time taken: 9.16 seconds 
Epoch: 135/200 Train accuracy: 2.85200e-01 Validation accuracy: 2.56900e-01 Loss 3.40801e-02 Validation Loss 3.45924e-02 Time taken: 9.37 seconds 
Epoch: 136/200 Train accuracy: 2.86140e-01 Validation accuracy: 2.57900e-01 Loss 3.40771e-02 Validation Loss 3.45973e-02 Time taken: 9.94 seconds 
Epoch: 137/200 Train accuracy: 2.86100e-01 Validation accuracy: 2.58600e-01 Loss 3.40752e-02 Validation Loss 3.45877e-02 Time taken: 9.43 seconds 
Epoch: 138/200 Train accuracy: 2.85580e-01 Validation accuracy: 2.58900e-01 Loss 3.40715e-02 Validation Loss 3.45868e-02 Time taken: 10.40 seconds 
Epoch: 139/200 Train accuracy: 2.86600e-01 Validation accuracy: 2.60100e-01 Loss 3.40706e-02 Validation Loss 3.45861e-02 Time taken: 9.40 seconds 
Epoch: 140/200 Train accuracy: 2.86220e-01 Validation accuracy: 2.57000e-01 Loss 3.40677e-02 Validation Loss 3.45869e-02 Time taken: 9.63 seconds 
Epoch: 141/200 Train accuracy: 2.87140e-01 Validation accuracy: 2.59000e-01 Loss 3.40671e-02 Validation Loss 3.45829e-02 Time taken: 10.04 seconds 
Epoch: 142/200 Train accuracy: 2.87280e-01 Validation accuracy: 2.59700e-01 Loss 3.40650e-02 Validation Loss 3.45789e-02 Time taken: 9.85 seconds 
Epoch: 143/200 Train accuracy: 2.87280e-01 Validation accuracy: 2.59800e-01 Loss 3.40644e-02 Validation Loss 3.45765e-02 Time taken: 9.77 seconds 
Epoch: 144/200 Train accuracy: 2.87700e-01 Validation accuracy: 2.60200e-01 Loss 3.40624e-02 Validation Loss 3.45742e-02 Time taken: 10.08 seconds 
Epoch: 145/200 Train accuracy: 2.87940e-01 Validation accuracy: 2.59900e-01 Loss 3.40601e-02 Validation Loss 3.45735e-02 Time taken: 9.43 seconds 
Epoch: 146/200 Train accuracy: 2.88100e-01 Validation accuracy: 2.58500e-01 Loss 3.40595e-02 Validation Loss 3.45772e-02 Time taken: 9.82 seconds 
Epoch: 147/200 Train accuracy: 2.88900e-01 Validation accuracy: 2.60100e-01 Loss 3.40576e-02 Validation Loss 3.45757e-02 Time taken: 9.56 seconds 
Epoch: 148/200 Train accuracy: 2.88680e-01 Validation accuracy: 2.61800e-01 Loss 3.40566e-02 Validation Loss 3.45699e-02 Time taken: 9.26 seconds 
Epoch: 149/200 Train accuracy: 2.89040e-01 Validation accuracy: 2.60800e-01 Loss 3.40560e-02 Validation Loss 3.45707e-02 Time taken: 9.32 seconds 
Epoch: 150/200 Train accuracy: 2.88320e-01 Validation accuracy: 2.62200e-01 Loss 3.40538e-02 Validation Loss 3.45694e-02 Time taken: 9.75 seconds 
Epoch: 151/200 Train accuracy: 2.89180e-01 Validation accuracy: 2.59500e-01 Loss 3.40520e-02 Validation Loss 3.45772e-02 Time taken: 9.49 seconds 
Epoch: 152/200 Train accuracy: 2.89260e-01 Validation accuracy: 2.59900e-01 Loss 3.40519e-02 Validation Loss 3.45744e-02 Time taken: 9.58 seconds 
Epoch: 153/200 Train accuracy: 2.89000e-01 Validation accuracy: 2.59000e-01 Loss 3.40518e-02 Validation Loss 3.45717e-02 Time taken: 9.14 seconds 
Epoch: 154/200 Train accuracy: 2.90340e-01 Validation accuracy: 2.60500e-01 Loss 3.40490e-02 Validation Loss 3.45680e-02 Time taken: 9.92 seconds 
Epoch: 155/200 Train accuracy: 2.90300e-01 Validation accuracy: 2.61200e-01 Loss 3.40483e-02 Validation Loss 3.45683e-02 Time taken: 9.88 seconds 
Epoch: 156/200 Train accuracy: 2.90140e-01 Validation accuracy: 2.63300e-01 Loss 3.40477e-02 Validation Loss 3.45627e-02 Time taken: 9.55 seconds 
Epoch: 157/200 Train accuracy: 2.89960e-01 Validation accuracy: 2.62100e-01 Loss 3.40472e-02 Validation Loss 3.45637e-02 Time taken: 9.43 seconds 
Epoch: 158/200 Train accuracy: 2.90380e-01 Validation accuracy: 2.62300e-01 Loss 3.40453e-02 Validation Loss 3.45637e-02 Time taken: 9.54 seconds 
Epoch: 159/200 Train accuracy: 2.91020e-01 Validation accuracy: 2.62600e-01 Loss 3.40435e-02 Validation Loss 3.45625e-02 Time taken: 9.17 seconds 
Epoch: 160/200 Train accuracy: 2.91080e-01 Validation accuracy: 2.61000e-01 Loss 3.40424e-02 Validation Loss 3.45625e-02 Time taken: 9.97 seconds 
Epoch: 161/200 Train accuracy: 2.90680e-01 Validation accuracy: 2.61600e-01 Loss 3.40430e-02 Validation Loss 3.45592e-02 Time taken: 9.26 seconds 
Epoch: 162/200 Train accuracy: 2.90640e-01 Validation accuracy: 2.62300e-01 Loss 3.40405e-02 Validation Loss 3.45601e-02 Time taken: 9.57 seconds 
Epoch: 163/200 Train accuracy: 2.90860e-01 Validation accuracy: 2.62400e-01 Loss 3.40413e-02 Validation Loss 3.45567e-02 Time taken: 9.39 seconds 
Epoch: 164/200 Train accuracy: 2.91180e-01 Validation accuracy: 2.61600e-01 Loss 3.40392e-02 Validation Loss 3.45637e-02 Time taken: 9.75 seconds 
Epoch: 165/200 Train accuracy: 2.91320e-01 Validation accuracy: 2.61600e-01 Loss 3.40387e-02 Validation Loss 3.45598e-02 Time taken: 9.14 seconds 
Epoch: 166/200 Train accuracy: 2.91320e-01 Validation accuracy: 2.62500e-01 Loss 3.40367e-02 Validation Loss 3.45596e-02 Time taken: 9.58 seconds 
Epoch: 167/200 Train accuracy: 2.91440e-01 Validation accuracy: 2.63200e-01 Loss 3.40368e-02 Validation Loss 3.45565e-02 Time taken: 9.63 seconds 
Epoch: 168/200 Train accuracy: 2.92160e-01 Validation accuracy: 2.61600e-01 Loss 3.40348e-02 Validation Loss 3.45649e-02 Time taken: 9.42 seconds 
Epoch: 169/200 Train accuracy: 2.91960e-01 Validation accuracy: 2.62100e-01 Loss 3.40345e-02 Validation Loss 3.45601e-02 Time taken: 9.61 seconds 
Epoch: 170/200 Train accuracy: 2.91740e-01 Validation accuracy: 2.62300e-01 Loss 3.40341e-02 Validation Loss 3.45574e-02 Time taken: 7.86 seconds 
Epoch: 171/200 Train accuracy: 2.92320e-01 Validation accuracy: 2.62600e-01 Loss 3.40333e-02 Validation Loss 3.45581e-02 Time taken: 7.29 seconds 
Epoch: 172/200 Train accuracy: 2.92540e-01 Validation accuracy: 2.62700e-01 Loss 3.40328e-02 Validation Loss 3.45574e-02 Time taken: 7.45 seconds 
Epoch: 173/200 Train accuracy: 2.92320e-01 Validation accuracy: 2.64200e-01 Loss 3.40311e-02 Validation Loss 3.45568e-02 Time taken: 7.47 seconds 
Epoch: 174/200 Train accuracy: 2.92200e-01 Validation accuracy: 2.63700e-01 Loss 3.40305e-02 Validation Loss 3.45510e-02 Time taken: 7.49 seconds 
Epoch: 175/200 Train accuracy: 2.92520e-01 Validation accuracy: 2.63600e-01 Loss 3.40270e-02 Validation Loss 3.45570e-02 Time taken: 7.50 seconds 
Epoch: 176/200 Train accuracy: 2.93740e-01 Validation accuracy: 2.64500e-01 Loss 3.40240e-02 Validation Loss 3.45455e-02 Time taken: 7.51 seconds 
Epoch: 177/200 Train accuracy: 2.94380e-01 Validation accuracy: 2.63700e-01 Loss 3.40228e-02 Validation Loss 3.45491e-02 Time taken: 7.64 seconds 
Epoch: 178/200 Train accuracy: 2.94400e-01 Validation accuracy: 2.64400e-01 Loss 3.40215e-02 Validation Loss 3.45450e-02 Time taken: 7.48 seconds 
Epoch: 179/200 Train accuracy: 2.94920e-01 Validation accuracy: 2.63300e-01 Loss 3.40187e-02 Validation Loss 3.45410e-02 Time taken: 7.43 seconds 
Epoch: 180/200 Train accuracy: 2.93900e-01 Validation accuracy: 2.63400e-01 Loss 3.40168e-02 Validation Loss 3.45436e-02 Time taken: 7.55 seconds 
Epoch: 181/200 Train accuracy: 2.94720e-01 Validation accuracy: 2.64500e-01 Loss 3.40164e-02 Validation Loss 3.45455e-02 Time taken: 7.55 seconds 
Epoch: 182/200 Train accuracy: 2.94560e-01 Validation accuracy: 2.62500e-01 Loss 3.40144e-02 Validation Loss 3.45424e-02 Time taken: 7.49 seconds 
Epoch: 183/200 Train accuracy: 2.94860e-01 Validation accuracy: 2.64400e-01 Loss 3.40136e-02 Validation Loss 3.45410e-02 Time taken: 7.53 seconds 
Epoch: 184/200 Train accuracy: 2.95060e-01 Validation accuracy: 2.63000e-01 Loss 3.40116e-02 Validation Loss 3.45464e-02 Time taken: 7.58 seconds 
Epoch: 185/200 Train accuracy: 2.95580e-01 Validation accuracy: 2.63600e-01 Loss 3.40106e-02 Validation Loss 3.45400e-02 Time taken: 7.59 seconds 
Epoch: 186/200 Train accuracy: 2.95340e-01 Validation accuracy: 2.65100e-01 Loss 3.40109e-02 Validation Loss 3.45395e-02 Time taken: 7.54 seconds 
Epoch: 187/200 Train accuracy: 2.95360e-01 Validation accuracy: 2.63000e-01 Loss 3.40091e-02 Validation Loss 3.45447e-02 Time taken: 7.51 seconds 
Epoch: 188/200 Train accuracy: 2.95740e-01 Validation accuracy: 2.64000e-01 Loss 3.40081e-02 Validation Loss 3.45356e-02 Time taken: 7.57 seconds 
Epoch: 189/200 Train accuracy: 2.96240e-01 Validation accuracy: 2.64300e-01 Loss 3.40085e-02 Validation Loss 3.45379e-02 Time taken: 7.49 seconds 
Epoch: 190/200 Train accuracy: 2.95780e-01 Validation accuracy: 2.64600e-01 Loss 3.40060e-02 Validation Loss 3.45372e-02 Time taken: 7.48 seconds 
Epoch: 191/200 Train accuracy: 2.96240e-01 Validation accuracy: 2.65900e-01 Loss 3.40055e-02 Validation Loss 3.45323e-02 Time taken: 8.37 seconds 
Epoch: 192/200 Train accuracy: 2.97060e-01 Validation accuracy: 2.63500e-01 Loss 3.40044e-02 Validation Loss 3.45379e-02 Time taken: 7.57 seconds 
Epoch: 193/200 Train accuracy: 2.96420e-01 Validation accuracy: 2.64400e-01 Loss 3.40044e-02 Validation Loss 3.45321e-02 Time taken: 7.54 seconds 
Epoch: 194/200 Train accuracy: 2.96220e-01 Validation accuracy: 2.64200e-01 Loss 3.40014e-02 Validation Loss 3.45366e-02 Time taken: 7.59 seconds 
Epoch: 195/200 Train accuracy: 2.96420e-01 Validation accuracy: 2.64200e-01 Loss 3.40020e-02 Validation Loss 3.45373e-02 Time taken: 9.52 seconds 
Epoch: 196/200 Train accuracy: 2.96300e-01 Validation accuracy: 2.66800e-01 Loss 3.40009e-02 Validation Loss 3.45273e-02 Time taken: 9.65 seconds 
Epoch: 197/200 Train accuracy: 2.96580e-01 Validation accuracy: 2.67000e-01 Loss 3.40016e-02 Validation Loss 3.45292e-02 Time taken: 9.99 seconds 
Epoch: 198/200 Train accuracy: 2.96800e-01 Validation accuracy: 2.64600e-01 Loss 3.40005e-02 Validation Loss 3.45269e-02 Time taken: 8.96 seconds 
Epoch: 199/200 Train accuracy: 2.96960e-01 Validation accuracy: 2.65700e-01 Loss 3.39985e-02 Validation Loss 3.45270e-02 Time taken: 9.18 seconds 
Epoch: 200/200 Train accuracy: 2.97120e-01 Validation accuracy: 2.64000e-01 Loss 3.39976e-02 Validation Loss 3.45345e-02 Time taken: 9.36 seconds 
Total time taken 0:31:10.957487
Cleaning up intermediate feature (.pt) files
Done


working on file logs_STL/stl-l2-pkt-chunks-seed0/jepa-stl-l2-pkt-chunks-seed0-ep300.pth.tar ...
Directory logs_STL/stl-l2-pkt-chunks-seed0/classifiers for saving the classifiers is now present
VisionTransformer(
  (patch_embed): PatchEmbed(
    (proj): Conv2d(3, 768, kernel_size=(15, 15), stride=(15, 15))
  )
  (blocks): ModuleList(
    (0-11): 12 x Block(
      (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (attn): Attention(
        (qkv): Linear(in_features=768, out_features=2304, bias=True)
        (attn_drop): Dropout(p=0.0, inplace=False)
        (proj): Linear(in_features=768, out_features=768, bias=True)
        (proj_drop): Dropout(p=0.0, inplace=False)
      )
      (drop_path): Identity()
      (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (mlp): MLP(
        (fc1): Linear(in_features=768, out_features=3072, bias=True)
        (act): GELU(approximate='none')
        (fc2): Linear(in_features=3072, out_features=768, bias=True)
        (drop): Dropout(p=0.0, inplace=False)
      )
    )
  )
  (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
)
Extracting features and saving them in memory..
Extracting features...
Done extracting features...
 Creating datasets
Created datasets...
 Creating data loaders
Done with data loaders
Commencing training
Epoch: 1/200 Train accuracy: 7.81400e-02 Validation accuracy: 1.16900e-01 Loss 3.56610e-02 Validation Loss 3.57854e-02 Time taken: 9.73 seconds 
Epoch: 2/200 Train accuracy: 1.30700e-01 Validation accuracy: 1.32800e-01 Loss 3.53170e-02 Validation Loss 3.56224e-02 Time taken: 9.12 seconds 
Epoch: 3/200 Train accuracy: 1.40000e-01 Validation accuracy: 1.38600e-01 Loss 3.52089e-02 Validation Loss 3.55528e-02 Time taken: 9.11 seconds 
Epoch: 4/200 Train accuracy: 1.45500e-01 Validation accuracy: 1.43800e-01 Loss 3.51469e-02 Validation Loss 3.55025e-02 Time taken: 9.87 seconds 
Epoch: 5/200 Train accuracy: 1.50940e-01 Validation accuracy: 1.46500e-01 Loss 3.50991e-02 Validation Loss 3.54718e-02 Time taken: 9.31 seconds 
Epoch: 6/200 Train accuracy: 1.54000e-01 Validation accuracy: 1.47800e-01 Loss 3.50672e-02 Validation Loss 3.54455e-02 Time taken: 8.94 seconds 
Epoch: 7/200 Train accuracy: 1.57220e-01 Validation accuracy: 1.53600e-01 Loss 3.50320e-02 Validation Loss 3.54133e-02 Time taken: 9.83 seconds 
Epoch: 8/200 Train accuracy: 1.60480e-01 Validation accuracy: 1.55000e-01 Loss 3.50067e-02 Validation Loss 3.53922e-02 Time taken: 9.75 seconds 
Epoch: 9/200 Train accuracy: 1.62080e-01 Validation accuracy: 1.56400e-01 Loss 3.49879e-02 Validation Loss 3.53804e-02 Time taken: 8.93 seconds 
Epoch: 10/200 Train accuracy: 1.63740e-01 Validation accuracy: 1.57300e-01 Loss 3.49725e-02 Validation Loss 3.53673e-02 Time taken: 9.25 seconds 
Epoch: 11/200 Train accuracy: 1.66640e-01 Validation accuracy: 1.60900e-01 Loss 3.49522e-02 Validation Loss 3.53443e-02 Time taken: 9.20 seconds 
Epoch: 12/200 Train accuracy: 1.70500e-01 Validation accuracy: 1.64200e-01 Loss 3.49287e-02 Validation Loss 3.53229e-02 Time taken: 9.50 seconds 
Epoch: 13/200 Train accuracy: 1.73220e-01 Validation accuracy: 1.67200e-01 Loss 3.49047e-02 Validation Loss 3.53032e-02 Time taken: 9.48 seconds 
Epoch: 14/200 Train accuracy: 1.74480e-01 Validation accuracy: 1.67900e-01 Loss 3.48920e-02 Validation Loss 3.52932e-02 Time taken: 9.63 seconds 
Epoch: 15/200 Train accuracy: 1.75780e-01 Validation accuracy: 1.67400e-01 Loss 3.48805e-02 Validation Loss 3.52856e-02 Time taken: 8.97 seconds 
Epoch: 16/200 Train accuracy: 1.77600e-01 Validation accuracy: 1.71300e-01 Loss 3.48689e-02 Validation Loss 3.52559e-02 Time taken: 10.27 seconds 
Epoch: 17/200 Train accuracy: 1.80320e-01 Validation accuracy: 1.72000e-01 Loss 3.48449e-02 Validation Loss 3.52444e-02 Time taken: 9.26 seconds 
Epoch: 18/200 Train accuracy: 1.81420e-01 Validation accuracy: 1.75400e-01 Loss 3.48327e-02 Validation Loss 3.52329e-02 Time taken: 9.22 seconds 
Epoch: 19/200 Train accuracy: 1.82460e-01 Validation accuracy: 1.73800e-01 Loss 3.48235e-02 Validation Loss 3.52260e-02 Time taken: 9.49 seconds 
Epoch: 20/200 Train accuracy: 1.83640e-01 Validation accuracy: 1.75700e-01 Loss 3.48154e-02 Validation Loss 3.52191e-02 Time taken: 9.33 seconds 
Epoch: 21/200 Train accuracy: 1.83380e-01 Validation accuracy: 1.75800e-01 Loss 3.48081e-02 Validation Loss 3.52127e-02 Time taken: 9.92 seconds 
Epoch: 22/200 Train accuracy: 1.84760e-01 Validation accuracy: 1.76900e-01 Loss 3.48006e-02 Validation Loss 3.52055e-02 Time taken: 9.44 seconds 
Epoch: 23/200 Train accuracy: 1.85520e-01 Validation accuracy: 1.74100e-01 Loss 3.47930e-02 Validation Loss 3.52116e-02 Time taken: 9.77 seconds 
Epoch: 24/200 Train accuracy: 1.85920e-01 Validation accuracy: 1.76700e-01 Loss 3.47874e-02 Validation Loss 3.51936e-02 Time taken: 10.21 seconds 
Epoch: 25/200 Train accuracy: 1.88880e-01 Validation accuracy: 1.81600e-01 Loss 3.47713e-02 Validation Loss 3.51733e-02 Time taken: 9.43 seconds 
Epoch: 26/200 Train accuracy: 1.92060e-01 Validation accuracy: 1.81500e-01 Loss 3.47512e-02 Validation Loss 3.51625e-02 Time taken: 9.51 seconds 
Epoch: 27/200 Train accuracy: 1.92320e-01 Validation accuracy: 1.85200e-01 Loss 3.47426e-02 Validation Loss 3.51556e-02 Time taken: 9.72 seconds 
Epoch: 28/200 Train accuracy: 1.94300e-01 Validation accuracy: 1.83800e-01 Loss 3.47319e-02 Validation Loss 3.51483e-02 Time taken: 9.79 seconds 
Epoch: 29/200 Train accuracy: 1.95620e-01 Validation accuracy: 1.84600e-01 Loss 3.47209e-02 Validation Loss 3.51415e-02 Time taken: 9.55 seconds 
Epoch: 30/200 Train accuracy: 1.96940e-01 Validation accuracy: 1.84700e-01 Loss 3.47114e-02 Validation Loss 3.51367e-02 Time taken: 9.62 seconds 
Epoch: 31/200 Train accuracy: 1.98300e-01 Validation accuracy: 1.87100e-01 Loss 3.47034e-02 Validation Loss 3.51311e-02 Time taken: 9.37 seconds 
Epoch: 32/200 Train accuracy: 1.98500e-01 Validation accuracy: 1.86200e-01 Loss 3.47001e-02 Validation Loss 3.51244e-02 Time taken: 9.36 seconds 
Epoch: 33/200 Train accuracy: 1.98780e-01 Validation accuracy: 1.87700e-01 Loss 3.46935e-02 Validation Loss 3.51192e-02 Time taken: 9.23 seconds 
Epoch: 34/200 Train accuracy: 1.99880e-01 Validation accuracy: 1.87700e-01 Loss 3.46881e-02 Validation Loss 3.51159e-02 Time taken: 9.52 seconds 
Epoch: 35/200 Train accuracy: 2.00440e-01 Validation accuracy: 1.86900e-01 Loss 3.46815e-02 Validation Loss 3.51108e-02 Time taken: 9.50 seconds 
Epoch: 36/200 Train accuracy: 2.01000e-01 Validation accuracy: 1.88600e-01 Loss 3.46752e-02 Validation Loss 3.51016e-02 Time taken: 9.55 seconds 
Epoch: 37/200 Train accuracy: 2.02140e-01 Validation accuracy: 1.88300e-01 Loss 3.46680e-02 Validation Loss 3.51025e-02 Time taken: 9.15 seconds 
Epoch: 38/200 Train accuracy: 2.02240e-01 Validation accuracy: 1.90600e-01 Loss 3.46640e-02 Validation Loss 3.50923e-02 Time taken: 9.36 seconds 
Epoch: 39/200 Train accuracy: 2.04220e-01 Validation accuracy: 1.90900e-01 Loss 3.46590e-02 Validation Loss 3.50880e-02 Time taken: 9.20 seconds 
Epoch: 40/200 Train accuracy: 2.04960e-01 Validation accuracy: 1.90000e-01 Loss 3.46510e-02 Validation Loss 3.50863e-02 Time taken: 9.89 seconds 
Epoch: 41/200 Train accuracy: 2.05780e-01 Validation accuracy: 1.92200e-01 Loss 3.46446e-02 Validation Loss 3.50772e-02 Time taken: 10.02 seconds 
Epoch: 42/200 Train accuracy: 2.06200e-01 Validation accuracy: 1.93100e-01 Loss 3.46386e-02 Validation Loss 3.50718e-02 Time taken: 9.15 seconds 
Epoch: 43/200 Train accuracy: 2.06780e-01 Validation accuracy: 1.93000e-01 Loss 3.46351e-02 Validation Loss 3.50733e-02 Time taken: 9.66 seconds 
Epoch: 44/200 Train accuracy: 2.07340e-01 Validation accuracy: 1.95000e-01 Loss 3.46296e-02 Validation Loss 3.50646e-02 Time taken: 9.72 seconds 
Epoch: 45/200 Train accuracy: 2.08980e-01 Validation accuracy: 1.95300e-01 Loss 3.46191e-02 Validation Loss 3.50474e-02 Time taken: 9.28 seconds 
Epoch: 46/200 Train accuracy: 2.11260e-01 Validation accuracy: 1.97600e-01 Loss 3.46078e-02 Validation Loss 3.50411e-02 Time taken: 9.80 seconds 
Epoch: 47/200 Train accuracy: 2.12140e-01 Validation accuracy: 1.97900e-01 Loss 3.46003e-02 Validation Loss 3.50364e-02 Time taken: 8.81 seconds 
Epoch: 48/200 Train accuracy: 2.13760e-01 Validation accuracy: 1.98600e-01 Loss 3.45921e-02 Validation Loss 3.50273e-02 Time taken: 8.95 seconds 
Epoch: 49/200 Train accuracy: 2.15100e-01 Validation accuracy: 1.99700e-01 Loss 3.45813e-02 Validation Loss 3.50211e-02 Time taken: 10.07 seconds 
Epoch: 50/200 Train accuracy: 2.15940e-01 Validation accuracy: 2.02000e-01 Loss 3.45756e-02 Validation Loss 3.50141e-02 Time taken: 9.58 seconds 
Epoch: 51/200 Train accuracy: 2.17760e-01 Validation accuracy: 2.01500e-01 Loss 3.45692e-02 Validation Loss 3.50150e-02 Time taken: 9.50 seconds 
Epoch: 52/200 Train accuracy: 2.17340e-01 Validation accuracy: 2.00500e-01 Loss 3.45650e-02 Validation Loss 3.50053e-02 Time taken: 9.24 seconds 
Epoch: 53/200 Train accuracy: 2.18060e-01 Validation accuracy: 2.03100e-01 Loss 3.45602e-02 Validation Loss 3.50026e-02 Time taken: 9.73 seconds 
Epoch: 54/200 Train accuracy: 2.18400e-01 Validation accuracy: 2.02300e-01 Loss 3.45559e-02 Validation Loss 3.50010e-02 Time taken: 9.42 seconds 
Epoch: 55/200 Train accuracy: 2.19240e-01 Validation accuracy: 2.01800e-01 Loss 3.45515e-02 Validation Loss 3.49950e-02 Time taken: 9.42 seconds 
Epoch: 56/200 Train accuracy: 2.19280e-01 Validation accuracy: 2.03700e-01 Loss 3.45480e-02 Validation Loss 3.49992e-02 Time taken: 9.71 seconds 
Epoch: 57/200 Train accuracy: 2.21040e-01 Validation accuracy: 2.03800e-01 Loss 3.45447e-02 Validation Loss 3.49932e-02 Time taken: 9.93 seconds 
Epoch: 58/200 Train accuracy: 2.20560e-01 Validation accuracy: 2.04900e-01 Loss 3.45414e-02 Validation Loss 3.49890e-02 Time taken: 9.26 seconds 
Epoch: 59/200 Train accuracy: 2.20520e-01 Validation accuracy: 2.05700e-01 Loss 3.45370e-02 Validation Loss 3.49839e-02 Time taken: 8.92 seconds 
Epoch: 60/200 Train accuracy: 2.20820e-01 Validation accuracy: 2.04500e-01 Loss 3.45339e-02 Validation Loss 3.49827e-02 Time taken: 9.60 seconds 
Epoch: 61/200 Train accuracy: 2.21760e-01 Validation accuracy: 2.05600e-01 Loss 3.45313e-02 Validation Loss 3.49848e-02 Time taken: 8.95 seconds 
Epoch: 62/200 Train accuracy: 2.21580e-01 Validation accuracy: 2.07700e-01 Loss 3.45283e-02 Validation Loss 3.49749e-02 Time taken: 9.52 seconds 
Epoch: 63/200 Train accuracy: 2.22280e-01 Validation accuracy: 2.06500e-01 Loss 3.45251e-02 Validation Loss 3.49702e-02 Time taken: 9.61 seconds 
Epoch: 64/200 Train accuracy: 2.23200e-01 Validation accuracy: 2.07500e-01 Loss 3.45222e-02 Validation Loss 3.49698e-02 Time taken: 9.07 seconds 
Epoch: 65/200 Train accuracy: 2.22620e-01 Validation accuracy: 2.08800e-01 Loss 3.45173e-02 Validation Loss 3.49694e-02 Time taken: 9.49 seconds 
Epoch: 66/200 Train accuracy: 2.23620e-01 Validation accuracy: 2.08000e-01 Loss 3.45162e-02 Validation Loss 3.49651e-02 Time taken: 9.71 seconds 
Epoch: 67/200 Train accuracy: 2.23200e-01 Validation accuracy: 2.07600e-01 Loss 3.45127e-02 Validation Loss 3.49664e-02 Time taken: 9.42 seconds 
Epoch: 68/200 Train accuracy: 2.24840e-01 Validation accuracy: 2.08900e-01 Loss 3.45098e-02 Validation Loss 3.49591e-02 Time taken: 9.17 seconds 
Epoch: 69/200 Train accuracy: 2.24440e-01 Validation accuracy: 2.09400e-01 Loss 3.45083e-02 Validation Loss 3.49582e-02 Time taken: 9.36 seconds 
Epoch: 70/200 Train accuracy: 2.25440e-01 Validation accuracy: 2.09400e-01 Loss 3.45037e-02 Validation Loss 3.49570e-02 Time taken: 9.64 seconds 
Epoch: 71/200 Train accuracy: 2.25240e-01 Validation accuracy: 2.10100e-01 Loss 3.45021e-02 Validation Loss 3.49567e-02 Time taken: 9.69 seconds 
Epoch: 72/200 Train accuracy: 2.26080e-01 Validation accuracy: 2.11100e-01 Loss 3.44993e-02 Validation Loss 3.49491e-02 Time taken: 9.49 seconds 
Epoch: 73/200 Train accuracy: 2.25760e-01 Validation accuracy: 2.10500e-01 Loss 3.44966e-02 Validation Loss 3.49512e-02 Time taken: 9.33 seconds 
Epoch: 74/200 Train accuracy: 2.26140e-01 Validation accuracy: 2.10300e-01 Loss 3.44948e-02 Validation Loss 3.49495e-02 Time taken: 9.78 seconds 
Epoch: 75/200 Train accuracy: 2.26020e-01 Validation accuracy: 2.11100e-01 Loss 3.44915e-02 Validation Loss 3.49419e-02 Time taken: 9.13 seconds 
Epoch: 76/200 Train accuracy: 2.27280e-01 Validation accuracy: 2.10700e-01 Loss 3.44854e-02 Validation Loss 3.49443e-02 Time taken: 9.93 seconds 
Epoch: 77/200 Train accuracy: 2.27580e-01 Validation accuracy: 2.11300e-01 Loss 3.44813e-02 Validation Loss 3.49441e-02 Time taken: 9.85 seconds 
Epoch: 78/200 Train accuracy: 2.28260e-01 Validation accuracy: 2.12400e-01 Loss 3.44776e-02 Validation Loss 3.49352e-02 Time taken: 9.71 seconds 
Epoch: 79/200 Train accuracy: 2.29080e-01 Validation accuracy: 2.10300e-01 Loss 3.44717e-02 Validation Loss 3.49355e-02 Time taken: 9.42 seconds 
Epoch: 80/200 Train accuracy: 2.29280e-01 Validation accuracy: 2.12300e-01 Loss 3.44697e-02 Validation Loss 3.49301e-02 Time taken: 9.26 seconds 
Epoch: 81/200 Train accuracy: 2.30100e-01 Validation accuracy: 2.13600e-01 Loss 3.44662e-02 Validation Loss 3.49256e-02 Time taken: 9.84 seconds 
Epoch: 82/200 Train accuracy: 2.30340e-01 Validation accuracy: 2.14000e-01 Loss 3.44630e-02 Validation Loss 3.49270e-02 Time taken: 9.75 seconds 
Epoch: 83/200 Train accuracy: 2.30480e-01 Validation accuracy: 2.13000e-01 Loss 3.44604e-02 Validation Loss 3.49250e-02 Time taken: 9.36 seconds 
Epoch: 84/200 Train accuracy: 2.30940e-01 Validation accuracy: 2.14000e-01 Loss 3.44575e-02 Validation Loss 3.49186e-02 Time taken: 9.74 seconds 
Epoch: 85/200 Train accuracy: 2.31400e-01 Validation accuracy: 2.14000e-01 Loss 3.44567e-02 Validation Loss 3.49204e-02 Time taken: 9.44 seconds 
Epoch: 86/200 Train accuracy: 2.31460e-01 Validation accuracy: 2.12100e-01 Loss 3.44539e-02 Validation Loss 3.49207e-02 Time taken: 9.83 seconds 
Epoch: 87/200 Train accuracy: 2.31760e-01 Validation accuracy: 2.14200e-01 Loss 3.44510e-02 Validation Loss 3.49197e-02 Time taken: 9.86 seconds 
Epoch: 88/200 Train accuracy: 2.32480e-01 Validation accuracy: 2.14800e-01 Loss 3.44500e-02 Validation Loss 3.49156e-02 Time taken: 9.10 seconds 
Epoch: 89/200 Train accuracy: 2.32080e-01 Validation accuracy: 2.14000e-01 Loss 3.44478e-02 Validation Loss 3.49127e-02 Time taken: 9.35 seconds 
Epoch: 90/200 Train accuracy: 2.33240e-01 Validation accuracy: 2.14800e-01 Loss 3.44456e-02 Validation Loss 3.49129e-02 Time taken: 9.34 seconds 
Epoch: 91/200 Train accuracy: 2.32960e-01 Validation accuracy: 2.13100e-01 Loss 3.44440e-02 Validation Loss 3.49123e-02 Time taken: 9.72 seconds 
Epoch: 92/200 Train accuracy: 2.33500e-01 Validation accuracy: 2.14500e-01 Loss 3.44421e-02 Validation Loss 3.49103e-02 Time taken: 9.53 seconds 
Epoch: 93/200 Train accuracy: 2.33920e-01 Validation accuracy: 2.14700e-01 Loss 3.44403e-02 Validation Loss 3.49054e-02 Time taken: 9.79 seconds 
Epoch: 94/200 Train accuracy: 2.33540e-01 Validation accuracy: 2.13900e-01 Loss 3.44381e-02 Validation Loss 3.49085e-02 Time taken: 10.00 seconds 
Epoch: 95/200 Train accuracy: 2.33580e-01 Validation accuracy: 2.16100e-01 Loss 3.44370e-02 Validation Loss 3.49022e-02 Time taken: 9.57 seconds 
Epoch: 96/200 Train accuracy: 2.34660e-01 Validation accuracy: 2.14600e-01 Loss 3.44359e-02 Validation Loss 3.49031e-02 Time taken: 9.39 seconds 
Epoch: 97/200 Train accuracy: 2.34240e-01 Validation accuracy: 2.15700e-01 Loss 3.44328e-02 Validation Loss 3.49011e-02 Time taken: 9.57 seconds 
Epoch: 98/200 Train accuracy: 2.34300e-01 Validation accuracy: 2.16000e-01 Loss 3.44315e-02 Validation Loss 3.48969e-02 Time taken: 9.36 seconds 
Epoch: 99/200 Train accuracy: 2.34800e-01 Validation accuracy: 2.15500e-01 Loss 3.44289e-02 Validation Loss 3.49020e-02 Time taken: 9.62 seconds 
Epoch: 100/200 Train accuracy: 2.35120e-01 Validation accuracy: 2.16600e-01 Loss 3.44283e-02 Validation Loss 3.49009e-02 Time taken: 9.65 seconds 
Epoch: 101/200 Train accuracy: 2.35280e-01 Validation accuracy: 2.15700e-01 Loss 3.44282e-02 Validation Loss 3.48954e-02 Time taken: 9.28 seconds 
Epoch: 102/200 Train accuracy: 2.35240e-01 Validation accuracy: 2.14800e-01 Loss 3.44243e-02 Validation Loss 3.48986e-02 Time taken: 9.90 seconds 
Epoch: 103/200 Train accuracy: 2.35880e-01 Validation accuracy: 2.16600e-01 Loss 3.44239e-02 Validation Loss 3.48950e-02 Time taken: 9.68 seconds 
Epoch: 104/200 Train accuracy: 2.36220e-01 Validation accuracy: 2.16600e-01 Loss 3.44232e-02 Validation Loss 3.48949e-02 Time taken: 9.46 seconds 
Epoch: 105/200 Train accuracy: 2.36080e-01 Validation accuracy: 2.17000e-01 Loss 3.44206e-02 Validation Loss 3.48932e-02 Time taken: 9.30 seconds 
Epoch: 106/200 Train accuracy: 2.36180e-01 Validation accuracy: 2.16400e-01 Loss 3.44204e-02 Validation Loss 3.48912e-02 Time taken: 9.24 seconds 
Epoch: 107/200 Train accuracy: 2.36700e-01 Validation accuracy: 2.16800e-01 Loss 3.44176e-02 Validation Loss 3.48892e-02 Time taken: 9.56 seconds 
Epoch: 108/200 Train accuracy: 2.37100e-01 Validation accuracy: 2.17000e-01 Loss 3.44173e-02 Validation Loss 3.48851e-02 Time taken: 9.90 seconds 
Epoch: 109/200 Train accuracy: 2.37060e-01 Validation accuracy: 2.16500e-01 Loss 3.44147e-02 Validation Loss 3.48920e-02 Time taken: 9.56 seconds 
Epoch: 110/200 Train accuracy: 2.37240e-01 Validation accuracy: 2.17800e-01 Loss 3.44144e-02 Validation Loss 3.48864e-02 Time taken: 9.48 seconds 
Epoch: 111/200 Train accuracy: 2.37300e-01 Validation accuracy: 2.17600e-01 Loss 3.44128e-02 Validation Loss 3.48828e-02 Time taken: 9.23 seconds 
Epoch: 112/200 Train accuracy: 2.37020e-01 Validation accuracy: 2.16100e-01 Loss 3.44107e-02 Validation Loss 3.48860e-02 Time taken: 9.18 seconds 
Epoch: 113/200 Train accuracy: 2.37720e-01 Validation accuracy: 2.17700e-01 Loss 3.44108e-02 Validation Loss 3.48836e-02 Time taken: 9.21 seconds 
Epoch: 114/200 Train accuracy: 2.37920e-01 Validation accuracy: 2.17400e-01 Loss 3.44091e-02 Validation Loss 3.48856e-02 Time taken: 9.23 seconds 
Epoch: 115/200 Train accuracy: 2.38220e-01 Validation accuracy: 2.18200e-01 Loss 3.44077e-02 Validation Loss 3.48816e-02 Time taken: 9.33 seconds 
Epoch: 116/200 Train accuracy: 2.38340e-01 Validation accuracy: 2.18400e-01 Loss 3.44064e-02 Validation Loss 3.48809e-02 Time taken: 9.74 seconds 
Epoch: 117/200 Train accuracy: 2.38520e-01 Validation accuracy: 2.17500e-01 Loss 3.44055e-02 Validation Loss 3.48789e-02 Time taken: 9.38 seconds 
Epoch: 118/200 Train accuracy: 2.39300e-01 Validation accuracy: 2.17300e-01 Loss 3.44036e-02 Validation Loss 3.48819e-02 Time taken: 9.63 seconds 
Epoch: 119/200 Train accuracy: 2.38780e-01 Validation accuracy: 2.18600e-01 Loss 3.44031e-02 Validation Loss 3.48818e-02 Time taken: 9.60 seconds 
Epoch: 120/200 Train accuracy: 2.38900e-01 Validation accuracy: 2.18200e-01 Loss 3.44014e-02 Validation Loss 3.48821e-02 Time taken: 9.81 seconds 
Epoch: 121/200 Train accuracy: 2.38960e-01 Validation accuracy: 2.18600e-01 Loss 3.43999e-02 Validation Loss 3.48776e-02 Time taken: 9.51 seconds 
Epoch: 122/200 Train accuracy: 2.39300e-01 Validation accuracy: 2.18300e-01 Loss 3.43997e-02 Validation Loss 3.48761e-02 Time taken: 9.20 seconds 
Epoch: 123/200 Train accuracy: 2.38940e-01 Validation accuracy: 2.17800e-01 Loss 3.43987e-02 Validation Loss 3.48761e-02 Time taken: 9.42 seconds 
Epoch: 124/200 Train accuracy: 2.39700e-01 Validation accuracy: 2.18800e-01 Loss 3.43960e-02 Validation Loss 3.48754e-02 Time taken: 9.34 seconds 
Epoch: 125/200 Train accuracy: 2.40020e-01 Validation accuracy: 2.18200e-01 Loss 3.43958e-02 Validation Loss 3.48723e-02 Time taken: 9.88 seconds 
Epoch: 126/200 Train accuracy: 2.39720e-01 Validation accuracy: 2.19800e-01 Loss 3.43942e-02 Validation Loss 3.48726e-02 Time taken: 9.76 seconds 
Epoch: 127/200 Train accuracy: 2.40140e-01 Validation accuracy: 2.20400e-01 Loss 3.43927e-02 Validation Loss 3.48692e-02 Time taken: 9.88 seconds 
Epoch: 128/200 Train accuracy: 2.40240e-01 Validation accuracy: 2.19400e-01 Loss 3.43925e-02 Validation Loss 3.48688e-02 Time taken: 9.88 seconds 
Epoch: 129/200 Train accuracy: 2.40300e-01 Validation accuracy: 2.18100e-01 Loss 3.43918e-02 Validation Loss 3.48710e-02 Time taken: 9.57 seconds 
Epoch: 130/200 Train accuracy: 2.40600e-01 Validation accuracy: 2.20000e-01 Loss 3.43889e-02 Validation Loss 3.48694e-02 Time taken: 9.18 seconds 
Epoch: 131/200 Train accuracy: 2.40820e-01 Validation accuracy: 2.20200e-01 Loss 3.43897e-02 Validation Loss 3.48710e-02 Time taken: 9.51 seconds 
Epoch: 132/200 Train accuracy: 2.40760e-01 Validation accuracy: 2.19200e-01 Loss 3.43876e-02 Validation Loss 3.48690e-02 Time taken: 9.60 seconds 
Epoch: 133/200 Train accuracy: 2.41220e-01 Validation accuracy: 2.18700e-01 Loss 3.43877e-02 Validation Loss 3.48682e-02 Time taken: 9.39 seconds 
Epoch: 134/200 Train accuracy: 2.41040e-01 Validation accuracy: 2.18200e-01 Loss 3.43866e-02 Validation Loss 3.48698e-02 Time taken: 9.44 seconds 
Epoch: 135/200 Train accuracy: 2.41560e-01 Validation accuracy: 2.19900e-01 Loss 3.43854e-02 Validation Loss 3.48705e-02 Time taken: 9.49 seconds 
Epoch: 136/200 Train accuracy: 2.41460e-01 Validation accuracy: 2.18500e-01 Loss 3.43843e-02 Validation Loss 3.48705e-02 Time taken: 9.58 seconds 
Epoch: 137/200 Train accuracy: 2.41460e-01 Validation accuracy: 2.19100e-01 Loss 3.43833e-02 Validation Loss 3.48659e-02 Time taken: 9.70 seconds 
Epoch: 138/200 Train accuracy: 2.41540e-01 Validation accuracy: 2.19300e-01 Loss 3.43820e-02 Validation Loss 3.48653e-02 Time taken: 9.62 seconds 
Epoch: 139/200 Train accuracy: 2.42100e-01 Validation accuracy: 2.19600e-01 Loss 3.43820e-02 Validation Loss 3.48665e-02 Time taken: 9.27 seconds 
Epoch: 140/200 Train accuracy: 2.41900e-01 Validation accuracy: 2.19300e-01 Loss 3.43804e-02 Validation Loss 3.48622e-02 Time taken: 9.60 seconds 
Epoch: 141/200 Train accuracy: 2.42140e-01 Validation accuracy: 2.19500e-01 Loss 3.43794e-02 Validation Loss 3.48640e-02 Time taken: 9.76 seconds 
Epoch: 142/200 Train accuracy: 2.42080e-01 Validation accuracy: 2.19100e-01 Loss 3.43782e-02 Validation Loss 3.48698e-02 Time taken: 9.47 seconds 
Epoch: 143/200 Train accuracy: 2.41920e-01 Validation accuracy: 2.18800e-01 Loss 3.43773e-02 Validation Loss 3.48656e-02 Time taken: 9.59 seconds 
Epoch: 144/200 Train accuracy: 2.43180e-01 Validation accuracy: 2.20400e-01 Loss 3.43738e-02 Validation Loss 3.48567e-02 Time taken: 8.99 seconds 
Epoch: 145/200 Train accuracy: 2.44440e-01 Validation accuracy: 2.21300e-01 Loss 3.43686e-02 Validation Loss 3.48520e-02 Time taken: 9.49 seconds 
Epoch: 146/200 Train accuracy: 2.45180e-01 Validation accuracy: 2.23400e-01 Loss 3.43619e-02 Validation Loss 3.48477e-02 Time taken: 9.21 seconds 
Epoch: 147/200 Train accuracy: 2.45240e-01 Validation accuracy: 2.22500e-01 Loss 3.43582e-02 Validation Loss 3.48460e-02 Time taken: 9.62 seconds 
Epoch: 148/200 Train accuracy: 2.45640e-01 Validation accuracy: 2.23900e-01 Loss 3.43567e-02 Validation Loss 3.48391e-02 Time taken: 9.37 seconds 
Epoch: 149/200 Train accuracy: 2.46300e-01 Validation accuracy: 2.23700e-01 Loss 3.43521e-02 Validation Loss 3.48383e-02 Time taken: 9.47 seconds 
Epoch: 150/200 Train accuracy: 2.46980e-01 Validation accuracy: 2.23900e-01 Loss 3.43501e-02 Validation Loss 3.48392e-02 Time taken: 9.16 seconds 
Epoch: 151/200 Train accuracy: 2.47820e-01 Validation accuracy: 2.26200e-01 Loss 3.43474e-02 Validation Loss 3.48365e-02 Time taken: 10.12 seconds 
Epoch: 152/200 Train accuracy: 2.47520e-01 Validation accuracy: 2.26300e-01 Loss 3.43452e-02 Validation Loss 3.48351e-02 Time taken: 9.59 seconds 
Epoch: 153/200 Train accuracy: 2.47860e-01 Validation accuracy: 2.26600e-01 Loss 3.43427e-02 Validation Loss 3.48284e-02 Time taken: 9.24 seconds 
Epoch: 154/200 Train accuracy: 2.47880e-01 Validation accuracy: 2.25600e-01 Loss 3.43411e-02 Validation Loss 3.48273e-02 Time taken: 9.10 seconds 
Epoch: 155/200 Train accuracy: 2.47820e-01 Validation accuracy: 2.25200e-01 Loss 3.43379e-02 Validation Loss 3.48284e-02 Time taken: 9.53 seconds 
Epoch: 156/200 Train accuracy: 2.47680e-01 Validation accuracy: 2.25700e-01 Loss 3.43368e-02 Validation Loss 3.48270e-02 Time taken: 9.46 seconds 
Epoch: 157/200 Train accuracy: 2.49260e-01 Validation accuracy: 2.25900e-01 Loss 3.43349e-02 Validation Loss 3.48253e-02 Time taken: 9.36 seconds 
Epoch: 158/200 Train accuracy: 2.49540e-01 Validation accuracy: 2.26400e-01 Loss 3.43329e-02 Validation Loss 3.48255e-02 Time taken: 9.53 seconds 
Epoch: 159/200 Train accuracy: 2.49400e-01 Validation accuracy: 2.26300e-01 Loss 3.43314e-02 Validation Loss 3.48215e-02 Time taken: 9.02 seconds 
Epoch: 160/200 Train accuracy: 2.49200e-01 Validation accuracy: 2.27800e-01 Loss 3.43300e-02 Validation Loss 3.48169e-02 Time taken: 8.93 seconds 
Epoch: 161/200 Train accuracy: 2.49500e-01 Validation accuracy: 2.27800e-01 Loss 3.43287e-02 Validation Loss 3.48137e-02 Time taken: 10.08 seconds 
Epoch: 162/200 Train accuracy: 2.50340e-01 Validation accuracy: 2.26600e-01 Loss 3.43264e-02 Validation Loss 3.48178e-02 Time taken: 8.97 seconds 
Epoch: 163/200 Train accuracy: 2.49580e-01 Validation accuracy: 2.27500e-01 Loss 3.43254e-02 Validation Loss 3.48169e-02 Time taken: 9.26 seconds 
Epoch: 164/200 Train accuracy: 2.49980e-01 Validation accuracy: 2.28100e-01 Loss 3.43242e-02 Validation Loss 3.48154e-02 Time taken: 9.54 seconds 
Epoch: 165/200 Train accuracy: 2.50700e-01 Validation accuracy: 2.26400e-01 Loss 3.43220e-02 Validation Loss 3.48142e-02 Time taken: 9.34 seconds 
Epoch: 166/200 Train accuracy: 2.50420e-01 Validation accuracy: 2.27600e-01 Loss 3.43221e-02 Validation Loss 3.48112e-02 Time taken: 10.03 seconds 
Epoch: 167/200 Train accuracy: 2.51380e-01 Validation accuracy: 2.28500e-01 Loss 3.43197e-02 Validation Loss 3.48080e-02 Time taken: 9.48 seconds 
Epoch: 168/200 Train accuracy: 2.51480e-01 Validation accuracy: 2.29300e-01 Loss 3.43185e-02 Validation Loss 3.48085e-02 Time taken: 9.65 seconds 
Epoch: 169/200 Train accuracy: 2.51100e-01 Validation accuracy: 2.27700e-01 Loss 3.43182e-02 Validation Loss 3.48094e-02 Time taken: 9.58 seconds 
Epoch: 170/200 Train accuracy: 2.51500e-01 Validation accuracy: 2.29700e-01 Loss 3.43178e-02 Validation Loss 3.48074e-02 Time taken: 9.70 seconds 
Epoch: 171/200 Train accuracy: 2.51640e-01 Validation accuracy: 2.27700e-01 Loss 3.43149e-02 Validation Loss 3.48060e-02 Time taken: 8.11 seconds 
Epoch: 172/200 Train accuracy: 2.51740e-01 Validation accuracy: 2.29600e-01 Loss 3.43143e-02 Validation Loss 3.48058e-02 Time taken: 7.28 seconds 
Epoch: 173/200 Train accuracy: 2.52120e-01 Validation accuracy: 2.29100e-01 Loss 3.43131e-02 Validation Loss 3.48043e-02 Time taken: 7.38 seconds 
Epoch: 174/200 Train accuracy: 2.52600e-01 Validation accuracy: 2.27700e-01 Loss 3.43114e-02 Validation Loss 3.48114e-02 Time taken: 7.48 seconds 
Epoch: 175/200 Train accuracy: 2.52560e-01 Validation accuracy: 2.28600e-01 Loss 3.43124e-02 Validation Loss 3.48057e-02 Time taken: 7.49 seconds 
Epoch: 176/200 Train accuracy: 2.52660e-01 Validation accuracy: 2.29200e-01 Loss 3.43109e-02 Validation Loss 3.48051e-02 Time taken: 7.45 seconds 
Epoch: 177/200 Train accuracy: 2.53180e-01 Validation accuracy: 2.27000e-01 Loss 3.43103e-02 Validation Loss 3.48043e-02 Time taken: 7.52 seconds 
Epoch: 178/200 Train accuracy: 2.52840e-01 Validation accuracy: 2.30000e-01 Loss 3.43081e-02 Validation Loss 3.47985e-02 Time taken: 7.42 seconds 
Epoch: 179/200 Train accuracy: 2.52800e-01 Validation accuracy: 2.29400e-01 Loss 3.43075e-02 Validation Loss 3.47998e-02 Time taken: 7.62 seconds 
Epoch: 180/200 Train accuracy: 2.52480e-01 Validation accuracy: 2.28900e-01 Loss 3.43062e-02 Validation Loss 3.47998e-02 Time taken: 7.57 seconds 
Epoch: 181/200 Train accuracy: 2.52820e-01 Validation accuracy: 2.28700e-01 Loss 3.43066e-02 Validation Loss 3.47997e-02 Time taken: 7.56 seconds 
Epoch: 182/200 Train accuracy: 2.53240e-01 Validation accuracy: 2.28700e-01 Loss 3.43042e-02 Validation Loss 3.48016e-02 Time taken: 7.52 seconds 
Epoch: 183/200 Train accuracy: 2.53180e-01 Validation accuracy: 2.28700e-01 Loss 3.43042e-02 Validation Loss 3.47979e-02 Time taken: 7.55 seconds 
Epoch: 184/200 Train accuracy: 2.53120e-01 Validation accuracy: 2.29000e-01 Loss 3.43045e-02 Validation Loss 3.47970e-02 Time taken: 7.50 seconds 
Epoch: 185/200 Train accuracy: 2.53700e-01 Validation accuracy: 2.30500e-01 Loss 3.43026e-02 Validation Loss 3.47943e-02 Time taken: 7.61 seconds 
Epoch: 186/200 Train accuracy: 2.53560e-01 Validation accuracy: 2.29100e-01 Loss 3.43005e-02 Validation Loss 3.47987e-02 Time taken: 7.57 seconds 
Epoch: 187/200 Train accuracy: 2.53920e-01 Validation accuracy: 2.30300e-01 Loss 3.43008e-02 Validation Loss 3.47991e-02 Time taken: 7.40 seconds 
Epoch: 188/200 Train accuracy: 2.53140e-01 Validation accuracy: 2.30200e-01 Loss 3.43017e-02 Validation Loss 3.47999e-02 Time taken: 7.57 seconds 
Epoch: 189/200 Train accuracy: 2.53800e-01 Validation accuracy: 2.30500e-01 Loss 3.42995e-02 Validation Loss 3.47941e-02 Time taken: 7.40 seconds 
Epoch: 190/200 Train accuracy: 2.54100e-01 Validation accuracy: 2.29300e-01 Loss 3.42987e-02 Validation Loss 3.47955e-02 Time taken: 7.53 seconds 
Epoch: 191/200 Train accuracy: 2.54560e-01 Validation accuracy: 2.29600e-01 Loss 3.42975e-02 Validation Loss 3.47964e-02 Time taken: 7.51 seconds 
Epoch: 192/200 Train accuracy: 2.54180e-01 Validation accuracy: 2.29200e-01 Loss 3.42975e-02 Validation Loss 3.47959e-02 Time taken: 8.37 seconds 
Epoch: 193/200 Train accuracy: 2.54260e-01 Validation accuracy: 2.29100e-01 Loss 3.42966e-02 Validation Loss 3.47950e-02 Time taken: 7.69 seconds 
Epoch: 194/200 Train accuracy: 2.54100e-01 Validation accuracy: 2.31100e-01 Loss 3.42969e-02 Validation Loss 3.47919e-02 Time taken: 7.46 seconds 
Epoch: 195/200 Train accuracy: 2.54360e-01 Validation accuracy: 2.29000e-01 Loss 3.42963e-02 Validation Loss 3.47926e-02 Time taken: 7.51 seconds 
Epoch: 196/200 Train accuracy: 2.54680e-01 Validation accuracy: 2.32000e-01 Loss 3.42942e-02 Validation Loss 3.47893e-02 Time taken: 9.32 seconds 
Epoch: 197/200 Train accuracy: 2.55100e-01 Validation accuracy: 2.30300e-01 Loss 3.42935e-02 Validation Loss 3.47892e-02 Time taken: 9.42 seconds 
Epoch: 198/200 Train accuracy: 2.54400e-01 Validation accuracy: 2.29700e-01 Loss 3.42932e-02 Validation Loss 3.47918e-02 Time taken: 9.49 seconds 
Epoch: 199/200 Train accuracy: 2.54740e-01 Validation accuracy: 2.30600e-01 Loss 3.42921e-02 Validation Loss 3.47881e-02 Time taken: 9.81 seconds 
Epoch: 200/200 Train accuracy: 2.54640e-01 Validation accuracy: 2.31400e-01 Loss 3.42921e-02 Validation Loss 3.47903e-02 Time taken: 10.30 seconds 
Total time taken 0:30:52.812335
Cleaning up intermediate feature (.pt) files
Done


working on file logs_STL/stl-l2-pkt-chunks-seed0/jepa-stl-l2-pkt-chunks-seed0-ep50.pth.tar ...
Directory logs_STL/stl-l2-pkt-chunks-seed0/classifiers for saving the classifiers is now present
VisionTransformer(
  (patch_embed): PatchEmbed(
    (proj): Conv2d(3, 768, kernel_size=(15, 15), stride=(15, 15))
  )
  (blocks): ModuleList(
    (0-11): 12 x Block(
      (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (attn): Attention(
        (qkv): Linear(in_features=768, out_features=2304, bias=True)
        (attn_drop): Dropout(p=0.0, inplace=False)
        (proj): Linear(in_features=768, out_features=768, bias=True)
        (proj_drop): Dropout(p=0.0, inplace=False)
      )
      (drop_path): Identity()
      (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (mlp): MLP(
        (fc1): Linear(in_features=768, out_features=3072, bias=True)
        (act): GELU(approximate='none')
        (fc2): Linear(in_features=3072, out_features=768, bias=True)
        (drop): Dropout(p=0.0, inplace=False)
      )
    )
  )
  (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
)
Extracting features and saving them in memory..
Extracting features...
Done extracting features...
 Creating datasets
Created datasets...
 Creating data loaders
Done with data loaders
Commencing training
Epoch: 1/200 Train accuracy: 7.78000e-02 Validation accuracy: 1.12400e-01 Loss 3.56710e-02 Validation Loss 3.58098e-02 Time taken: 9.56 seconds 
Epoch: 2/200 Train accuracy: 1.19240e-01 Validation accuracy: 1.27800e-01 Loss 3.53712e-02 Validation Loss 3.56551e-02 Time taken: 9.55 seconds 
Epoch: 3/200 Train accuracy: 1.29680e-01 Validation accuracy: 1.37000e-01 Loss 3.52717e-02 Validation Loss 3.55781e-02 Time taken: 9.36 seconds 
Epoch: 4/200 Train accuracy: 1.36700e-01 Validation accuracy: 1.40400e-01 Loss 3.52113e-02 Validation Loss 3.55309e-02 Time taken: 9.09 seconds 
Epoch: 5/200 Train accuracy: 1.43820e-01 Validation accuracy: 1.49800e-01 Loss 3.51598e-02 Validation Loss 3.54781e-02 Time taken: 9.37 seconds 
Epoch: 6/200 Train accuracy: 1.50420e-01 Validation accuracy: 1.53700e-01 Loss 3.51159e-02 Validation Loss 3.54429e-02 Time taken: 9.64 seconds 
Epoch: 7/200 Train accuracy: 1.55440e-01 Validation accuracy: 1.57700e-01 Loss 3.50813e-02 Validation Loss 3.54185e-02 Time taken: 9.37 seconds 
Epoch: 8/200 Train accuracy: 1.57160e-01 Validation accuracy: 1.60300e-01 Loss 3.50554e-02 Validation Loss 3.53914e-02 Time taken: 9.67 seconds 
Epoch: 9/200 Train accuracy: 1.60860e-01 Validation accuracy: 1.63000e-01 Loss 3.50307e-02 Validation Loss 3.53697e-02 Time taken: 10.04 seconds 
Epoch: 10/200 Train accuracy: 1.63380e-01 Validation accuracy: 1.64800e-01 Loss 3.50108e-02 Validation Loss 3.53469e-02 Time taken: 9.84 seconds 
Epoch: 11/200 Train accuracy: 1.65080e-01 Validation accuracy: 1.66300e-01 Loss 3.49884e-02 Validation Loss 3.53343e-02 Time taken: 9.68 seconds 
Epoch: 12/200 Train accuracy: 1.67900e-01 Validation accuracy: 1.67700e-01 Loss 3.49665e-02 Validation Loss 3.53197e-02 Time taken: 9.67 seconds 
Epoch: 13/200 Train accuracy: 1.69400e-01 Validation accuracy: 1.70400e-01 Loss 3.49529e-02 Validation Loss 3.53052e-02 Time taken: 9.35 seconds 
Epoch: 14/200 Train accuracy: 1.70840e-01 Validation accuracy: 1.70200e-01 Loss 3.49397e-02 Validation Loss 3.52949e-02 Time taken: 9.08 seconds 
Epoch: 15/200 Train accuracy: 1.72220e-01 Validation accuracy: 1.69600e-01 Loss 3.49281e-02 Validation Loss 3.52864e-02 Time taken: 9.31 seconds 
Epoch: 16/200 Train accuracy: 1.73160e-01 Validation accuracy: 1.71900e-01 Loss 3.49166e-02 Validation Loss 3.52744e-02 Time taken: 9.20 seconds 
Epoch: 17/200 Train accuracy: 1.74600e-01 Validation accuracy: 1.73600e-01 Loss 3.49059e-02 Validation Loss 3.52631e-02 Time taken: 9.20 seconds 
Epoch: 18/200 Train accuracy: 1.75440e-01 Validation accuracy: 1.75200e-01 Loss 3.48936e-02 Validation Loss 3.52544e-02 Time taken: 9.53 seconds 
Epoch: 19/200 Train accuracy: 1.76800e-01 Validation accuracy: 1.75500e-01 Loss 3.48845e-02 Validation Loss 3.52470e-02 Time taken: 9.23 seconds 
Epoch: 20/200 Train accuracy: 1.78020e-01 Validation accuracy: 1.76300e-01 Loss 3.48750e-02 Validation Loss 3.52379e-02 Time taken: 9.46 seconds 
Epoch: 21/200 Train accuracy: 1.78480e-01 Validation accuracy: 1.74900e-01 Loss 3.48662e-02 Validation Loss 3.52372e-02 Time taken: 9.48 seconds 
Epoch: 22/200 Train accuracy: 1.79820e-01 Validation accuracy: 1.77200e-01 Loss 3.48586e-02 Validation Loss 3.52296e-02 Time taken: 9.24 seconds 
Epoch: 23/200 Train accuracy: 1.80580e-01 Validation accuracy: 1.77400e-01 Loss 3.48509e-02 Validation Loss 3.52234e-02 Time taken: 9.41 seconds 
Epoch: 24/200 Train accuracy: 1.81140e-01 Validation accuracy: 1.80600e-01 Loss 3.48422e-02 Validation Loss 3.51982e-02 Time taken: 9.56 seconds 
Epoch: 25/200 Train accuracy: 1.84880e-01 Validation accuracy: 1.82000e-01 Loss 3.48205e-02 Validation Loss 3.51910e-02 Time taken: 9.87 seconds 
Epoch: 26/200 Train accuracy: 1.85980e-01 Validation accuracy: 1.81800e-01 Loss 3.48096e-02 Validation Loss 3.51843e-02 Time taken: 9.61 seconds 
Epoch: 27/200 Train accuracy: 1.86280e-01 Validation accuracy: 1.82600e-01 Loss 3.48029e-02 Validation Loss 3.51783e-02 Time taken: 9.45 seconds 
Epoch: 28/200 Train accuracy: 1.87600e-01 Validation accuracy: 1.85400e-01 Loss 3.47947e-02 Validation Loss 3.51682e-02 Time taken: 9.71 seconds 
Epoch: 29/200 Train accuracy: 1.89620e-01 Validation accuracy: 1.86000e-01 Loss 3.47856e-02 Validation Loss 3.51614e-02 Time taken: 9.91 seconds 
Epoch: 30/200 Train accuracy: 1.90740e-01 Validation accuracy: 1.84900e-01 Loss 3.47768e-02 Validation Loss 3.51542e-02 Time taken: 10.02 seconds 
Epoch: 31/200 Train accuracy: 1.90600e-01 Validation accuracy: 1.86900e-01 Loss 3.47721e-02 Validation Loss 3.51488e-02 Time taken: 9.41 seconds 
Epoch: 32/200 Train accuracy: 1.92580e-01 Validation accuracy: 1.89400e-01 Loss 3.47625e-02 Validation Loss 3.51361e-02 Time taken: 9.46 seconds 
Epoch: 33/200 Train accuracy: 1.94620e-01 Validation accuracy: 1.90400e-01 Loss 3.47480e-02 Validation Loss 3.51286e-02 Time taken: 9.57 seconds 
Epoch: 34/200 Train accuracy: 1.95820e-01 Validation accuracy: 1.91200e-01 Loss 3.47392e-02 Validation Loss 3.51239e-02 Time taken: 9.88 seconds 
Epoch: 35/200 Train accuracy: 1.96660e-01 Validation accuracy: 1.90700e-01 Loss 3.47312e-02 Validation Loss 3.51159e-02 Time taken: 9.69 seconds 
Epoch: 36/200 Train accuracy: 1.98140e-01 Validation accuracy: 1.92900e-01 Loss 3.47241e-02 Validation Loss 3.51050e-02 Time taken: 9.40 seconds 
Epoch: 37/200 Train accuracy: 1.98360e-01 Validation accuracy: 1.93900e-01 Loss 3.47170e-02 Validation Loss 3.50977e-02 Time taken: 9.32 seconds 
Epoch: 38/200 Train accuracy: 1.99580e-01 Validation accuracy: 1.91700e-01 Loss 3.47106e-02 Validation Loss 3.50998e-02 Time taken: 9.63 seconds 
Epoch: 39/200 Train accuracy: 1.99380e-01 Validation accuracy: 1.93600e-01 Loss 3.47066e-02 Validation Loss 3.50959e-02 Time taken: 10.31 seconds 
Epoch: 40/200 Train accuracy: 2.00480e-01 Validation accuracy: 1.92900e-01 Loss 3.47011e-02 Validation Loss 3.50936e-02 Time taken: 9.58 seconds 
Epoch: 41/200 Train accuracy: 2.01420e-01 Validation accuracy: 1.94300e-01 Loss 3.46966e-02 Validation Loss 3.50897e-02 Time taken: 9.82 seconds 
Epoch: 42/200 Train accuracy: 2.02160e-01 Validation accuracy: 1.93100e-01 Loss 3.46921e-02 Validation Loss 3.50861e-02 Time taken: 9.07 seconds 
Epoch: 43/200 Train accuracy: 2.03080e-01 Validation accuracy: 1.95300e-01 Loss 3.46862e-02 Validation Loss 3.50801e-02 Time taken: 9.46 seconds 
Epoch: 44/200 Train accuracy: 2.03420e-01 Validation accuracy: 1.94900e-01 Loss 3.46829e-02 Validation Loss 3.50774e-02 Time taken: 9.72 seconds 
Epoch: 45/200 Train accuracy: 2.02780e-01 Validation accuracy: 1.95300e-01 Loss 3.46781e-02 Validation Loss 3.50734e-02 Time taken: 9.38 seconds 
Epoch: 46/200 Train accuracy: 2.03660e-01 Validation accuracy: 1.96400e-01 Loss 3.46740e-02 Validation Loss 3.50696e-02 Time taken: 9.69 seconds 
Epoch: 47/200 Train accuracy: 2.04520e-01 Validation accuracy: 1.95600e-01 Loss 3.46705e-02 Validation Loss 3.50728e-02 Time taken: 9.92 seconds 
Epoch: 48/200 Train accuracy: 2.04760e-01 Validation accuracy: 1.95900e-01 Loss 3.46682e-02 Validation Loss 3.50660e-02 Time taken: 9.92 seconds 
Epoch: 49/200 Train accuracy: 2.05880e-01 Validation accuracy: 1.97400e-01 Loss 3.46635e-02 Validation Loss 3.50633e-02 Time taken: 9.29 seconds 
Epoch: 50/200 Train accuracy: 2.05860e-01 Validation accuracy: 1.97300e-01 Loss 3.46610e-02 Validation Loss 3.50602e-02 Time taken: 8.98 seconds 
Epoch: 51/200 Train accuracy: 2.06700e-01 Validation accuracy: 1.96700e-01 Loss 3.46560e-02 Validation Loss 3.50598e-02 Time taken: 9.95 seconds 
Epoch: 52/200 Train accuracy: 2.06260e-01 Validation accuracy: 1.95800e-01 Loss 3.46534e-02 Validation Loss 3.50588e-02 Time taken: 9.49 seconds 
Epoch: 53/200 Train accuracy: 2.07160e-01 Validation accuracy: 1.98400e-01 Loss 3.46513e-02 Validation Loss 3.50569e-02 Time taken: 9.76 seconds 
Epoch: 54/200 Train accuracy: 2.07380e-01 Validation accuracy: 1.98300e-01 Loss 3.46467e-02 Validation Loss 3.50536e-02 Time taken: 9.74 seconds 
Epoch: 55/200 Train accuracy: 2.08180e-01 Validation accuracy: 1.98700e-01 Loss 3.46457e-02 Validation Loss 3.50501e-02 Time taken: 10.21 seconds 
Epoch: 56/200 Train accuracy: 2.08300e-01 Validation accuracy: 1.98300e-01 Loss 3.46413e-02 Validation Loss 3.50517e-02 Time taken: 9.89 seconds 
Epoch: 57/200 Train accuracy: 2.08180e-01 Validation accuracy: 1.99300e-01 Loss 3.46390e-02 Validation Loss 3.50421e-02 Time taken: 10.08 seconds 
Epoch: 58/200 Train accuracy: 2.08800e-01 Validation accuracy: 1.99600e-01 Loss 3.46361e-02 Validation Loss 3.50435e-02 Time taken: 9.89 seconds 
Epoch: 59/200 Train accuracy: 2.09440e-01 Validation accuracy: 2.00300e-01 Loss 3.46325e-02 Validation Loss 3.50383e-02 Time taken: 9.65 seconds 
Epoch: 60/200 Train accuracy: 2.09760e-01 Validation accuracy: 1.98300e-01 Loss 3.46310e-02 Validation Loss 3.50405e-02 Time taken: 9.48 seconds 
Epoch: 61/200 Train accuracy: 2.10100e-01 Validation accuracy: 1.99200e-01 Loss 3.46290e-02 Validation Loss 3.50392e-02 Time taken: 9.46 seconds 
Epoch: 62/200 Train accuracy: 2.10860e-01 Validation accuracy: 1.98300e-01 Loss 3.46267e-02 Validation Loss 3.50374e-02 Time taken: 9.81 seconds 
Epoch: 63/200 Train accuracy: 2.10020e-01 Validation accuracy: 1.99000e-01 Loss 3.46246e-02 Validation Loss 3.50373e-02 Time taken: 9.36 seconds 
Epoch: 64/200 Train accuracy: 2.11060e-01 Validation accuracy: 1.99800e-01 Loss 3.46213e-02 Validation Loss 3.50357e-02 Time taken: 9.93 seconds 
Epoch: 65/200 Train accuracy: 2.11220e-01 Validation accuracy: 1.99500e-01 Loss 3.46190e-02 Validation Loss 3.50342e-02 Time taken: 10.08 seconds 
Epoch: 66/200 Train accuracy: 2.11360e-01 Validation accuracy: 2.01600e-01 Loss 3.46161e-02 Validation Loss 3.50292e-02 Time taken: 9.78 seconds 
Epoch: 67/200 Train accuracy: 2.12180e-01 Validation accuracy: 1.99200e-01 Loss 3.46139e-02 Validation Loss 3.50279e-02 Time taken: 9.46 seconds 
Epoch: 68/200 Train accuracy: 2.11540e-01 Validation accuracy: 1.99700e-01 Loss 3.46127e-02 Validation Loss 3.50268e-02 Time taken: 9.84 seconds 
Epoch: 69/200 Train accuracy: 2.11780e-01 Validation accuracy: 1.99800e-01 Loss 3.46117e-02 Validation Loss 3.50213e-02 Time taken: 9.49 seconds 
Epoch: 70/200 Train accuracy: 2.12600e-01 Validation accuracy: 1.99900e-01 Loss 3.46088e-02 Validation Loss 3.50262e-02 Time taken: 9.90 seconds 
Epoch: 71/200 Train accuracy: 2.13360e-01 Validation accuracy: 2.00400e-01 Loss 3.46064e-02 Validation Loss 3.50240e-02 Time taken: 9.88 seconds 
Epoch: 72/200 Train accuracy: 2.12720e-01 Validation accuracy: 2.01300e-01 Loss 3.46047e-02 Validation Loss 3.50222e-02 Time taken: 9.46 seconds 
Epoch: 73/200 Train accuracy: 2.13340e-01 Validation accuracy: 2.01500e-01 Loss 3.46014e-02 Validation Loss 3.50170e-02 Time taken: 9.79 seconds 
Epoch: 74/200 Train accuracy: 2.13460e-01 Validation accuracy: 2.00600e-01 Loss 3.46016e-02 Validation Loss 3.50179e-02 Time taken: 9.82 seconds 
Epoch: 75/200 Train accuracy: 2.13280e-01 Validation accuracy: 2.02200e-01 Loss 3.45988e-02 Validation Loss 3.50178e-02 Time taken: 9.43 seconds 
Epoch: 76/200 Train accuracy: 2.13780e-01 Validation accuracy: 2.02000e-01 Loss 3.45963e-02 Validation Loss 3.50133e-02 Time taken: 9.88 seconds 
Epoch: 77/200 Train accuracy: 2.14420e-01 Validation accuracy: 2.01900e-01 Loss 3.45949e-02 Validation Loss 3.50126e-02 Time taken: 9.65 seconds 
Epoch: 78/200 Train accuracy: 2.13440e-01 Validation accuracy: 2.01300e-01 Loss 3.45934e-02 Validation Loss 3.50165e-02 Time taken: 9.63 seconds 
Epoch: 79/200 Train accuracy: 2.14620e-01 Validation accuracy: 2.02000e-01 Loss 3.45907e-02 Validation Loss 3.50079e-02 Time taken: 9.95 seconds 
Epoch: 80/200 Train accuracy: 2.14500e-01 Validation accuracy: 2.02500e-01 Loss 3.45903e-02 Validation Loss 3.50123e-02 Time taken: 9.37 seconds 
Epoch: 81/200 Train accuracy: 2.14720e-01 Validation accuracy: 2.02800e-01 Loss 3.45875e-02 Validation Loss 3.50126e-02 Time taken: 9.13 seconds 
Epoch: 82/200 Train accuracy: 2.15180e-01 Validation accuracy: 2.04000e-01 Loss 3.45859e-02 Validation Loss 3.50026e-02 Time taken: 9.48 seconds 
Epoch: 83/200 Train accuracy: 2.14940e-01 Validation accuracy: 2.03100e-01 Loss 3.45844e-02 Validation Loss 3.50086e-02 Time taken: 9.73 seconds 
Epoch: 84/200 Train accuracy: 2.15360e-01 Validation accuracy: 2.03500e-01 Loss 3.45833e-02 Validation Loss 3.50005e-02 Time taken: 10.09 seconds 
Epoch: 85/200 Train accuracy: 2.15860e-01 Validation accuracy: 2.03200e-01 Loss 3.45816e-02 Validation Loss 3.50020e-02 Time taken: 9.91 seconds 
Epoch: 86/200 Train accuracy: 2.15880e-01 Validation accuracy: 2.02600e-01 Loss 3.45787e-02 Validation Loss 3.50036e-02 Time taken: 9.70 seconds 
Epoch: 87/200 Train accuracy: 2.15760e-01 Validation accuracy: 2.04000e-01 Loss 3.45786e-02 Validation Loss 3.50017e-02 Time taken: 9.27 seconds 
Epoch: 88/200 Train accuracy: 2.16060e-01 Validation accuracy: 2.04200e-01 Loss 3.45754e-02 Validation Loss 3.49997e-02 Time taken: 10.20 seconds 
Epoch: 89/200 Train accuracy: 2.17180e-01 Validation accuracy: 2.04200e-01 Loss 3.45726e-02 Validation Loss 3.49999e-02 Time taken: 10.08 seconds 
Epoch: 90/200 Train accuracy: 2.17360e-01 Validation accuracy: 2.04100e-01 Loss 3.45717e-02 Validation Loss 3.49969e-02 Time taken: 9.60 seconds 
Epoch: 91/200 Train accuracy: 2.17480e-01 Validation accuracy: 2.03300e-01 Loss 3.45684e-02 Validation Loss 3.49999e-02 Time taken: 9.55 seconds 
Epoch: 92/200 Train accuracy: 2.17820e-01 Validation accuracy: 2.03600e-01 Loss 3.45656e-02 Validation Loss 3.50001e-02 Time taken: 8.98 seconds 
Epoch: 93/200 Train accuracy: 2.18300e-01 Validation accuracy: 2.05700e-01 Loss 3.45654e-02 Validation Loss 3.49922e-02 Time taken: 9.74 seconds 
Epoch: 94/200 Train accuracy: 2.17880e-01 Validation accuracy: 2.04700e-01 Loss 3.45649e-02 Validation Loss 3.49935e-02 Time taken: 9.82 seconds 
Epoch: 95/200 Train accuracy: 2.19060e-01 Validation accuracy: 2.05000e-01 Loss 3.45617e-02 Validation Loss 3.49926e-02 Time taken: 9.96 seconds 
Epoch: 96/200 Train accuracy: 2.18500e-01 Validation accuracy: 2.04200e-01 Loss 3.45601e-02 Validation Loss 3.49892e-02 Time taken: 9.62 seconds 
Epoch: 97/200 Train accuracy: 2.19440e-01 Validation accuracy: 2.04000e-01 Loss 3.45576e-02 Validation Loss 3.49958e-02 Time taken: 9.88 seconds 
Epoch: 98/200 Train accuracy: 2.19480e-01 Validation accuracy: 2.05400e-01 Loss 3.45549e-02 Validation Loss 3.49865e-02 Time taken: 9.19 seconds 
Epoch: 99/200 Train accuracy: 2.20540e-01 Validation accuracy: 2.05800e-01 Loss 3.45505e-02 Validation Loss 3.49848e-02 Time taken: 9.88 seconds 
Epoch: 100/200 Train accuracy: 2.21120e-01 Validation accuracy: 2.07700e-01 Loss 3.45443e-02 Validation Loss 3.49747e-02 Time taken: 9.93 seconds 
Epoch: 101/200 Train accuracy: 2.21920e-01 Validation accuracy: 2.06900e-01 Loss 3.45398e-02 Validation Loss 3.49714e-02 Time taken: 9.50 seconds 
Epoch: 102/200 Train accuracy: 2.22360e-01 Validation accuracy: 2.07900e-01 Loss 3.45363e-02 Validation Loss 3.49733e-02 Time taken: 9.67 seconds 
Epoch: 103/200 Train accuracy: 2.22020e-01 Validation accuracy: 2.07300e-01 Loss 3.45342e-02 Validation Loss 3.49708e-02 Time taken: 10.59 seconds 
Epoch: 104/200 Train accuracy: 2.23140e-01 Validation accuracy: 2.07300e-01 Loss 3.45301e-02 Validation Loss 3.49731e-02 Time taken: 9.39 seconds 
Epoch: 105/200 Train accuracy: 2.22920e-01 Validation accuracy: 2.07500e-01 Loss 3.45303e-02 Validation Loss 3.49676e-02 Time taken: 9.50 seconds 
Epoch: 106/200 Train accuracy: 2.22320e-01 Validation accuracy: 2.08700e-01 Loss 3.45291e-02 Validation Loss 3.49656e-02 Time taken: 9.29 seconds 
Epoch: 107/200 Train accuracy: 2.23880e-01 Validation accuracy: 2.08400e-01 Loss 3.45268e-02 Validation Loss 3.49669e-02 Time taken: 9.60 seconds 
Epoch: 108/200 Train accuracy: 2.23260e-01 Validation accuracy: 2.07800e-01 Loss 3.45240e-02 Validation Loss 3.49666e-02 Time taken: 9.80 seconds 
Epoch: 109/200 Train accuracy: 2.23380e-01 Validation accuracy: 2.08300e-01 Loss 3.45239e-02 Validation Loss 3.49649e-02 Time taken: 9.61 seconds 
Epoch: 110/200 Train accuracy: 2.23500e-01 Validation accuracy: 2.08700e-01 Loss 3.45226e-02 Validation Loss 3.49594e-02 Time taken: 9.91 seconds 
Epoch: 111/200 Train accuracy: 2.24240e-01 Validation accuracy: 2.07200e-01 Loss 3.45202e-02 Validation Loss 3.49617e-02 Time taken: 9.82 seconds 
Epoch: 112/200 Train accuracy: 2.23900e-01 Validation accuracy: 2.08200e-01 Loss 3.45192e-02 Validation Loss 3.49585e-02 Time taken: 9.51 seconds 
Epoch: 113/200 Train accuracy: 2.24620e-01 Validation accuracy: 2.08200e-01 Loss 3.45181e-02 Validation Loss 3.49597e-02 Time taken: 9.25 seconds 
Epoch: 114/200 Train accuracy: 2.24020e-01 Validation accuracy: 2.08500e-01 Loss 3.45159e-02 Validation Loss 3.49592e-02 Time taken: 9.39 seconds 
Epoch: 115/200 Train accuracy: 2.24540e-01 Validation accuracy: 2.09500e-01 Loss 3.45155e-02 Validation Loss 3.49580e-02 Time taken: 9.43 seconds 
Epoch: 116/200 Train accuracy: 2.24340e-01 Validation accuracy: 2.09400e-01 Loss 3.45138e-02 Validation Loss 3.49545e-02 Time taken: 9.27 seconds 
Epoch: 117/200 Train accuracy: 2.25000e-01 Validation accuracy: 2.09000e-01 Loss 3.45121e-02 Validation Loss 3.49556e-02 Time taken: 9.81 seconds 
Epoch: 118/200 Train accuracy: 2.24960e-01 Validation accuracy: 2.10100e-01 Loss 3.45111e-02 Validation Loss 3.49518e-02 Time taken: 9.53 seconds 
Epoch: 119/200 Train accuracy: 2.25080e-01 Validation accuracy: 2.09800e-01 Loss 3.45113e-02 Validation Loss 3.49517e-02 Time taken: 9.61 seconds 
Epoch: 120/200 Train accuracy: 2.25600e-01 Validation accuracy: 2.09500e-01 Loss 3.45093e-02 Validation Loss 3.49542e-02 Time taken: 9.28 seconds 
Epoch: 121/200 Train accuracy: 2.24680e-01 Validation accuracy: 2.10800e-01 Loss 3.45080e-02 Validation Loss 3.49507e-02 Time taken: 9.81 seconds 
Epoch: 122/200 Train accuracy: 2.25580e-01 Validation accuracy: 2.10600e-01 Loss 3.45065e-02 Validation Loss 3.49520e-02 Time taken: 10.31 seconds 
Epoch: 123/200 Train accuracy: 2.25340e-01 Validation accuracy: 2.11400e-01 Loss 3.45047e-02 Validation Loss 3.49486e-02 Time taken: 9.66 seconds 
Epoch: 124/200 Train accuracy: 2.25920e-01 Validation accuracy: 2.09200e-01 Loss 3.45053e-02 Validation Loss 3.49503e-02 Time taken: 9.57 seconds 
Epoch: 125/200 Train accuracy: 2.26740e-01 Validation accuracy: 2.10100e-01 Loss 3.45038e-02 Validation Loss 3.49502e-02 Time taken: 9.57 seconds 
Epoch: 126/200 Train accuracy: 2.25940e-01 Validation accuracy: 2.11300e-01 Loss 3.45023e-02 Validation Loss 3.49485e-02 Time taken: 9.87 seconds 
Epoch: 127/200 Train accuracy: 2.26660e-01 Validation accuracy: 2.09700e-01 Loss 3.45019e-02 Validation Loss 3.49481e-02 Time taken: 9.47 seconds 
Epoch: 128/200 Train accuracy: 2.26100e-01 Validation accuracy: 2.10400e-01 Loss 3.45001e-02 Validation Loss 3.49471e-02 Time taken: 9.82 seconds 
Epoch: 129/200 Train accuracy: 2.26920e-01 Validation accuracy: 2.10300e-01 Loss 3.44984e-02 Validation Loss 3.49451e-02 Time taken: 9.44 seconds 
Epoch: 130/200 Train accuracy: 2.26540e-01 Validation accuracy: 2.10100e-01 Loss 3.44979e-02 Validation Loss 3.49472e-02 Time taken: 9.75 seconds 
Epoch: 131/200 Train accuracy: 2.26740e-01 Validation accuracy: 2.10800e-01 Loss 3.44973e-02 Validation Loss 3.49453e-02 Time taken: 9.86 seconds 
Epoch: 132/200 Train accuracy: 2.26880e-01 Validation accuracy: 2.12100e-01 Loss 3.44966e-02 Validation Loss 3.49408e-02 Time taken: 10.08 seconds 
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Epoch: 134/200 Train accuracy: 2.27160e-01 Validation accuracy: 2.11800e-01 Loss 3.44937e-02 Validation Loss 3.49429e-02 Time taken: 9.83 seconds 
Epoch: 135/200 Train accuracy: 2.27600e-01 Validation accuracy: 2.12900e-01 Loss 3.44930e-02 Validation Loss 3.49386e-02 Time taken: 9.56 seconds 
Epoch: 136/200 Train accuracy: 2.27260e-01 Validation accuracy: 2.12100e-01 Loss 3.44931e-02 Validation Loss 3.49394e-02 Time taken: 9.60 seconds 
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Epoch: 138/200 Train accuracy: 2.27180e-01 Validation accuracy: 2.12000e-01 Loss 3.44903e-02 Validation Loss 3.49353e-02 Time taken: 9.07 seconds 
Epoch: 139/200 Train accuracy: 2.28680e-01 Validation accuracy: 2.10200e-01 Loss 3.44868e-02 Validation Loss 3.49360e-02 Time taken: 9.68 seconds 
Epoch: 140/200 Train accuracy: 2.30480e-01 Validation accuracy: 2.15400e-01 Loss 3.44735e-02 Validation Loss 3.49104e-02 Time taken: 10.30 seconds 
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Epoch: 142/200 Train accuracy: 2.32680e-01 Validation accuracy: 2.16800e-01 Loss 3.44585e-02 Validation Loss 3.49019e-02 Time taken: 9.55 seconds 
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Epoch: 150/200 Train accuracy: 2.35360e-01 Validation accuracy: 2.19500e-01 Loss 3.44417e-02 Validation Loss 3.48894e-02 Time taken: 9.41 seconds 
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Epoch: 153/200 Train accuracy: 2.35460e-01 Validation accuracy: 2.20000e-01 Loss 3.44366e-02 Validation Loss 3.48853e-02 Time taken: 9.95 seconds 
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Epoch: 159/200 Train accuracy: 2.36000e-01 Validation accuracy: 2.20700e-01 Loss 3.44291e-02 Validation Loss 3.48762e-02 Time taken: 10.36 seconds 
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Epoch: 161/200 Train accuracy: 2.37000e-01 Validation accuracy: 2.20500e-01 Loss 3.44261e-02 Validation Loss 3.48765e-02 Time taken: 9.44 seconds 
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Epoch: 166/200 Train accuracy: 2.37500e-01 Validation accuracy: 2.20700e-01 Loss 3.44221e-02 Validation Loss 3.48730e-02 Time taken: 9.26 seconds 
Epoch: 167/200 Train accuracy: 2.37560e-01 Validation accuracy: 2.20700e-01 Loss 3.44214e-02 Validation Loss 3.48720e-02 Time taken: 10.07 seconds 
Epoch: 168/200 Train accuracy: 2.38180e-01 Validation accuracy: 2.21900e-01 Loss 3.44187e-02 Validation Loss 3.48719e-02 Time taken: 9.79 seconds 
Epoch: 169/200 Train accuracy: 2.38080e-01 Validation accuracy: 2.21400e-01 Loss 3.44178e-02 Validation Loss 3.48712e-02 Time taken: 9.76 seconds 
Epoch: 170/200 Train accuracy: 2.38400e-01 Validation accuracy: 2.22100e-01 Loss 3.44181e-02 Validation Loss 3.48681e-02 Time taken: 7.74 seconds 
Epoch: 171/200 Train accuracy: 2.38100e-01 Validation accuracy: 2.21200e-01 Loss 3.44166e-02 Validation Loss 3.48725e-02 Time taken: 7.33 seconds 
Epoch: 172/200 Train accuracy: 2.38560e-01 Validation accuracy: 2.22300e-01 Loss 3.44167e-02 Validation Loss 3.48670e-02 Time taken: 7.43 seconds 
Epoch: 173/200 Train accuracy: 2.38960e-01 Validation accuracy: 2.21800e-01 Loss 3.44151e-02 Validation Loss 3.48714e-02 Time taken: 7.54 seconds 
Epoch: 174/200 Train accuracy: 2.38820e-01 Validation accuracy: 2.24100e-01 Loss 3.44148e-02 Validation Loss 3.48676e-02 Time taken: 7.53 seconds 
Epoch: 175/200 Train accuracy: 2.39660e-01 Validation accuracy: 2.22000e-01 Loss 3.44127e-02 Validation Loss 3.48675e-02 Time taken: 7.50 seconds 
Epoch: 176/200 Train accuracy: 2.38880e-01 Validation accuracy: 2.22600e-01 Loss 3.44125e-02 Validation Loss 3.48775e-02 Time taken: 7.49 seconds 
Epoch: 177/200 Train accuracy: 2.38940e-01 Validation accuracy: 2.22700e-01 Loss 3.44132e-02 Validation Loss 3.48679e-02 Time taken: 7.48 seconds 
Epoch: 178/200 Train accuracy: 2.38320e-01 Validation accuracy: 2.22500e-01 Loss 3.44111e-02 Validation Loss 3.48672e-02 Time taken: 7.71 seconds 
Epoch: 179/200 Train accuracy: 2.39460e-01 Validation accuracy: 2.21100e-01 Loss 3.44111e-02 Validation Loss 3.48683e-02 Time taken: 7.53 seconds 
Epoch: 180/200 Train accuracy: 2.39360e-01 Validation accuracy: 2.21500e-01 Loss 3.44102e-02 Validation Loss 3.48647e-02 Time taken: 7.64 seconds 
Epoch: 181/200 Train accuracy: 2.39300e-01 Validation accuracy: 2.22500e-01 Loss 3.44098e-02 Validation Loss 3.48646e-02 Time taken: 7.47 seconds 
Epoch: 182/200 Train accuracy: 2.39760e-01 Validation accuracy: 2.22000e-01 Loss 3.44097e-02 Validation Loss 3.48626e-02 Time taken: 7.68 seconds 
Epoch: 183/200 Train accuracy: 2.39420e-01 Validation accuracy: 2.22200e-01 Loss 3.44071e-02 Validation Loss 3.48622e-02 Time taken: 7.49 seconds 
Epoch: 184/200 Train accuracy: 2.40000e-01 Validation accuracy: 2.23300e-01 Loss 3.44051e-02 Validation Loss 3.48670e-02 Time taken: 7.63 seconds 
Epoch: 185/200 Train accuracy: 2.40500e-01 Validation accuracy: 2.21100e-01 Loss 3.44068e-02 Validation Loss 3.48650e-02 Time taken: 7.55 seconds 
Epoch: 186/200 Train accuracy: 2.39760e-01 Validation accuracy: 2.22500e-01 Loss 3.44047e-02 Validation Loss 3.48637e-02 Time taken: 7.66 seconds 
Epoch: 187/200 Train accuracy: 2.40440e-01 Validation accuracy: 2.23000e-01 Loss 3.44038e-02 Validation Loss 3.48674e-02 Time taken: 7.53 seconds 
Epoch: 188/200 Train accuracy: 2.40380e-01 Validation accuracy: 2.23900e-01 Loss 3.44044e-02 Validation Loss 3.48600e-02 Time taken: 7.53 seconds 
Epoch: 189/200 Train accuracy: 2.40660e-01 Validation accuracy: 2.22000e-01 Loss 3.44033e-02 Validation Loss 3.48611e-02 Time taken: 7.55 seconds 
Epoch: 190/200 Train accuracy: 2.40180e-01 Validation accuracy: 2.23100e-01 Loss 3.44017e-02 Validation Loss 3.48634e-02 Time taken: 7.59 seconds 
Epoch: 191/200 Train accuracy: 2.40940e-01 Validation accuracy: 2.23400e-01 Loss 3.44020e-02 Validation Loss 3.48637e-02 Time taken: 8.29 seconds 
Epoch: 192/200 Train accuracy: 2.40700e-01 Validation accuracy: 2.22200e-01 Loss 3.44017e-02 Validation Loss 3.48583e-02 Time taken: 7.55 seconds 
Epoch: 193/200 Train accuracy: 2.41020e-01 Validation accuracy: 2.23200e-01 Loss 3.44002e-02 Validation Loss 3.48574e-02 Time taken: 7.67 seconds 
Epoch: 194/200 Train accuracy: 2.40420e-01 Validation accuracy: 2.22500e-01 Loss 3.43990e-02 Validation Loss 3.48601e-02 Time taken: 7.69 seconds 
Epoch: 195/200 Train accuracy: 2.40600e-01 Validation accuracy: 2.23600e-01 Loss 3.43997e-02 Validation Loss 3.48568e-02 Time taken: 9.57 seconds 
Epoch: 196/200 Train accuracy: 2.41000e-01 Validation accuracy: 2.22200e-01 Loss 3.43988e-02 Validation Loss 3.48584e-02 Time taken: 9.74 seconds 
Epoch: 197/200 Train accuracy: 2.41040e-01 Validation accuracy: 2.24100e-01 Loss 3.43989e-02 Validation Loss 3.48555e-02 Time taken: 9.38 seconds 
Epoch: 198/200 Train accuracy: 2.41600e-01 Validation accuracy: 2.23600e-01 Loss 3.43976e-02 Validation Loss 3.48547e-02 Time taken: 9.66 seconds 
Epoch: 199/200 Train accuracy: 2.41140e-01 Validation accuracy: 2.23200e-01 Loss 3.43982e-02 Validation Loss 3.48550e-02 Time taken: 9.03 seconds 
Epoch: 200/200 Train accuracy: 2.41380e-01 Validation accuracy: 2.22200e-01 Loss 3.43972e-02 Validation Loss 3.48573e-02 Time taken: 9.64 seconds 
Total time taken 0:31:16.904359
Cleaning up intermediate feature (.pt) files
Done


working on file logs_STL/stl-l2-seed0/jepa-stl-l2-seed0-ep100.pth.tar ...
Directory logs_STL/stl-l2-seed0/classifiers for saving the classifiers is now present
VisionTransformer(
  (patch_embed): PatchEmbed(
    (proj): Conv2d(3, 768, kernel_size=(15, 15), stride=(15, 15))
  )
  (blocks): ModuleList(
    (0-11): 12 x Block(
      (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (attn): Attention(
        (qkv): Linear(in_features=768, out_features=2304, bias=True)
        (attn_drop): Dropout(p=0.0, inplace=False)
        (proj): Linear(in_features=768, out_features=768, bias=True)
        (proj_drop): Dropout(p=0.0, inplace=False)
      )
      (drop_path): Identity()
      (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (mlp): MLP(
        (fc1): Linear(in_features=768, out_features=3072, bias=True)
        (act): GELU(approximate='none')
        (fc2): Linear(in_features=3072, out_features=768, bias=True)
        (drop): Dropout(p=0.0, inplace=False)
      )
    )
  )
  (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
)
Extracting features and saving them in memory..
Extracting features...
Done extracting features...
 Creating datasets
Created datasets...
 Creating data loaders
Done with data loaders
Commencing training
Epoch: 1/200 Train accuracy: 7.87800e-02 Validation accuracy: 1.16900e-01 Loss 3.56506e-02 Validation Loss 3.57661e-02 Time taken: 9.97 seconds 
Epoch: 2/200 Train accuracy: 1.30200e-01 Validation accuracy: 1.36700e-01 Loss 3.53210e-02 Validation Loss 3.55953e-02 Time taken: 9.18 seconds 
Epoch: 3/200 Train accuracy: 1.43980e-01 Validation accuracy: 1.46700e-01 Loss 3.51989e-02 Validation Loss 3.55097e-02 Time taken: 9.69 seconds 
Epoch: 4/200 Train accuracy: 1.51380e-01 Validation accuracy: 1.53900e-01 Loss 3.51308e-02 Validation Loss 3.54524e-02 Time taken: 9.58 seconds 
Epoch: 5/200 Train accuracy: 1.57020e-01 Validation accuracy: 1.61000e-01 Loss 3.50784e-02 Validation Loss 3.54030e-02 Time taken: 9.94 seconds 
Epoch: 6/200 Train accuracy: 1.64720e-01 Validation accuracy: 1.65800e-01 Loss 3.50226e-02 Validation Loss 3.53555e-02 Time taken: 10.09 seconds 
Epoch: 7/200 Train accuracy: 1.69900e-01 Validation accuracy: 1.68800e-01 Loss 3.49820e-02 Validation Loss 3.53260e-02 Time taken: 9.14 seconds 
Epoch: 8/200 Train accuracy: 1.74740e-01 Validation accuracy: 1.75200e-01 Loss 3.49433e-02 Validation Loss 3.52818e-02 Time taken: 9.35 seconds 
Epoch: 9/200 Train accuracy: 1.79640e-01 Validation accuracy: 1.76800e-01 Loss 3.49046e-02 Validation Loss 3.52521e-02 Time taken: 9.71 seconds 
Epoch: 10/200 Train accuracy: 1.82280e-01 Validation accuracy: 1.78200e-01 Loss 3.48805e-02 Validation Loss 3.52361e-02 Time taken: 9.18 seconds 
Epoch: 11/200 Train accuracy: 1.84600e-01 Validation accuracy: 1.81700e-01 Loss 3.48592e-02 Validation Loss 3.52151e-02 Time taken: 9.77 seconds 
Epoch: 12/200 Train accuracy: 1.87040e-01 Validation accuracy: 1.82800e-01 Loss 3.48395e-02 Validation Loss 3.51996e-02 Time taken: 9.43 seconds 
Epoch: 13/200 Train accuracy: 1.88840e-01 Validation accuracy: 1.83300e-01 Loss 3.48225e-02 Validation Loss 3.51910e-02 Time taken: 9.76 seconds 
Epoch: 14/200 Train accuracy: 1.90940e-01 Validation accuracy: 1.86000e-01 Loss 3.48035e-02 Validation Loss 3.51689e-02 Time taken: 8.92 seconds 
Epoch: 15/200 Train accuracy: 1.93700e-01 Validation accuracy: 1.88600e-01 Loss 3.47857e-02 Validation Loss 3.51573e-02 Time taken: 9.68 seconds 
Epoch: 16/200 Train accuracy: 1.94320e-01 Validation accuracy: 1.88000e-01 Loss 3.47733e-02 Validation Loss 3.51485e-02 Time taken: 9.70 seconds 
Epoch: 17/200 Train accuracy: 1.95820e-01 Validation accuracy: 1.87500e-01 Loss 3.47584e-02 Validation Loss 3.51367e-02 Time taken: 9.34 seconds 
Epoch: 18/200 Train accuracy: 1.97300e-01 Validation accuracy: 1.89700e-01 Loss 3.47490e-02 Validation Loss 3.51312e-02 Time taken: 9.29 seconds 
Epoch: 19/200 Train accuracy: 1.97740e-01 Validation accuracy: 1.90400e-01 Loss 3.47371e-02 Validation Loss 3.51209e-02 Time taken: 9.74 seconds 
Epoch: 20/200 Train accuracy: 1.99000e-01 Validation accuracy: 1.90800e-01 Loss 3.47289e-02 Validation Loss 3.51143e-02 Time taken: 9.81 seconds 
Epoch: 21/200 Train accuracy: 2.00200e-01 Validation accuracy: 1.92000e-01 Loss 3.47186e-02 Validation Loss 3.51092e-02 Time taken: 9.62 seconds 
Epoch: 22/200 Train accuracy: 2.00720e-01 Validation accuracy: 1.93500e-01 Loss 3.47105e-02 Validation Loss 3.50994e-02 Time taken: 9.09 seconds 
Epoch: 23/200 Train accuracy: 2.01740e-01 Validation accuracy: 1.91300e-01 Loss 3.47019e-02 Validation Loss 3.50987e-02 Time taken: 9.88 seconds 
Epoch: 24/200 Train accuracy: 2.03040e-01 Validation accuracy: 1.92800e-01 Loss 3.46948e-02 Validation Loss 3.50887e-02 Time taken: 9.47 seconds 
Epoch: 25/200 Train accuracy: 2.04560e-01 Validation accuracy: 1.96500e-01 Loss 3.46827e-02 Validation Loss 3.50750e-02 Time taken: 9.48 seconds 
Epoch: 26/200 Train accuracy: 2.06940e-01 Validation accuracy: 1.99400e-01 Loss 3.46684e-02 Validation Loss 3.50606e-02 Time taken: 9.47 seconds 
Epoch: 27/200 Train accuracy: 2.08500e-01 Validation accuracy: 1.98900e-01 Loss 3.46590e-02 Validation Loss 3.50540e-02 Time taken: 9.37 seconds 
Epoch: 28/200 Train accuracy: 2.09160e-01 Validation accuracy: 1.99400e-01 Loss 3.46506e-02 Validation Loss 3.50521e-02 Time taken: 9.80 seconds 
Epoch: 29/200 Train accuracy: 2.09880e-01 Validation accuracy: 1.99700e-01 Loss 3.46439e-02 Validation Loss 3.50486e-02 Time taken: 9.93 seconds 
Epoch: 30/200 Train accuracy: 2.10640e-01 Validation accuracy: 2.00300e-01 Loss 3.46377e-02 Validation Loss 3.50391e-02 Time taken: 9.44 seconds 
Epoch: 31/200 Train accuracy: 2.10780e-01 Validation accuracy: 1.98700e-01 Loss 3.46317e-02 Validation Loss 3.50368e-02 Time taken: 9.80 seconds 
Epoch: 32/200 Train accuracy: 2.11480e-01 Validation accuracy: 2.01200e-01 Loss 3.46254e-02 Validation Loss 3.50359e-02 Time taken: 9.42 seconds 
Epoch: 33/200 Train accuracy: 2.12540e-01 Validation accuracy: 2.00400e-01 Loss 3.46200e-02 Validation Loss 3.50314e-02 Time taken: 9.57 seconds 
Epoch: 34/200 Train accuracy: 2.13480e-01 Validation accuracy: 2.02500e-01 Loss 3.46143e-02 Validation Loss 3.50219e-02 Time taken: 9.68 seconds 
Epoch: 35/200 Train accuracy: 2.14120e-01 Validation accuracy: 2.04800e-01 Loss 3.46069e-02 Validation Loss 3.50141e-02 Time taken: 9.55 seconds 
Epoch: 36/200 Train accuracy: 2.17720e-01 Validation accuracy: 2.04900e-01 Loss 3.45822e-02 Validation Loss 3.49991e-02 Time taken: 9.28 seconds 
Epoch: 37/200 Train accuracy: 2.19660e-01 Validation accuracy: 2.07200e-01 Loss 3.45708e-02 Validation Loss 3.49898e-02 Time taken: 9.60 seconds 
Epoch: 38/200 Train accuracy: 2.20580e-01 Validation accuracy: 2.08900e-01 Loss 3.45623e-02 Validation Loss 3.49821e-02 Time taken: 9.34 seconds 
Epoch: 39/200 Train accuracy: 2.20780e-01 Validation accuracy: 2.09300e-01 Loss 3.45556e-02 Validation Loss 3.49769e-02 Time taken: 9.93 seconds 
Epoch: 40/200 Train accuracy: 2.22180e-01 Validation accuracy: 2.09700e-01 Loss 3.45483e-02 Validation Loss 3.49707e-02 Time taken: 9.89 seconds 
Epoch: 41/200 Train accuracy: 2.22440e-01 Validation accuracy: 2.08200e-01 Loss 3.45438e-02 Validation Loss 3.49707e-02 Time taken: 9.55 seconds 
Epoch: 42/200 Train accuracy: 2.23960e-01 Validation accuracy: 2.09300e-01 Loss 3.45399e-02 Validation Loss 3.49656e-02 Time taken: 10.24 seconds 
Epoch: 43/200 Train accuracy: 2.24500e-01 Validation accuracy: 2.10700e-01 Loss 3.45327e-02 Validation Loss 3.49647e-02 Time taken: 9.23 seconds 
Epoch: 44/200 Train accuracy: 2.25300e-01 Validation accuracy: 2.10900e-01 Loss 3.45283e-02 Validation Loss 3.49578e-02 Time taken: 9.34 seconds 
Epoch: 45/200 Train accuracy: 2.25780e-01 Validation accuracy: 2.11200e-01 Loss 3.45237e-02 Validation Loss 3.49510e-02 Time taken: 9.57 seconds 
Epoch: 46/200 Train accuracy: 2.26900e-01 Validation accuracy: 2.11300e-01 Loss 3.45180e-02 Validation Loss 3.49503e-02 Time taken: 9.85 seconds 
Epoch: 47/200 Train accuracy: 2.26420e-01 Validation accuracy: 2.12500e-01 Loss 3.45133e-02 Validation Loss 3.49461e-02 Time taken: 9.47 seconds 
Epoch: 48/200 Train accuracy: 2.28440e-01 Validation accuracy: 2.11400e-01 Loss 3.45080e-02 Validation Loss 3.49381e-02 Time taken: 9.69 seconds 
Epoch: 49/200 Train accuracy: 2.28260e-01 Validation accuracy: 2.13100e-01 Loss 3.45058e-02 Validation Loss 3.49372e-02 Time taken: 10.06 seconds 
Epoch: 50/200 Train accuracy: 2.29180e-01 Validation accuracy: 2.13000e-01 Loss 3.44997e-02 Validation Loss 3.49342e-02 Time taken: 9.76 seconds 
Epoch: 51/200 Train accuracy: 2.29840e-01 Validation accuracy: 2.12000e-01 Loss 3.44959e-02 Validation Loss 3.49368e-02 Time taken: 9.82 seconds 
Epoch: 52/200 Train accuracy: 2.30720e-01 Validation accuracy: 2.13400e-01 Loss 3.44925e-02 Validation Loss 3.49294e-02 Time taken: 9.64 seconds 
Epoch: 53/200 Train accuracy: 2.30460e-01 Validation accuracy: 2.12300e-01 Loss 3.44888e-02 Validation Loss 3.49248e-02 Time taken: 10.21 seconds 
Epoch: 54/200 Train accuracy: 2.30660e-01 Validation accuracy: 2.13200e-01 Loss 3.44858e-02 Validation Loss 3.49254e-02 Time taken: 8.94 seconds 
Epoch: 55/200 Train accuracy: 2.30760e-01 Validation accuracy: 2.14000e-01 Loss 3.44823e-02 Validation Loss 3.49202e-02 Time taken: 9.19 seconds 
Epoch: 56/200 Train accuracy: 2.31140e-01 Validation accuracy: 2.14700e-01 Loss 3.44790e-02 Validation Loss 3.49174e-02 Time taken: 9.44 seconds 
Epoch: 57/200 Train accuracy: 2.32380e-01 Validation accuracy: 2.15400e-01 Loss 3.44751e-02 Validation Loss 3.49185e-02 Time taken: 9.76 seconds 
Epoch: 58/200 Train accuracy: 2.32480e-01 Validation accuracy: 2.15000e-01 Loss 3.44728e-02 Validation Loss 3.49144e-02 Time taken: 9.54 seconds 
Epoch: 59/200 Train accuracy: 2.33320e-01 Validation accuracy: 2.15300e-01 Loss 3.44689e-02 Validation Loss 3.49108e-02 Time taken: 9.44 seconds 
Epoch: 60/200 Train accuracy: 2.33100e-01 Validation accuracy: 2.14600e-01 Loss 3.44658e-02 Validation Loss 3.49112e-02 Time taken: 9.66 seconds 
Epoch: 61/200 Train accuracy: 2.33180e-01 Validation accuracy: 2.14200e-01 Loss 3.44621e-02 Validation Loss 3.49115e-02 Time taken: 9.32 seconds 
Epoch: 62/200 Train accuracy: 2.33620e-01 Validation accuracy: 2.15700e-01 Loss 3.44609e-02 Validation Loss 3.49063e-02 Time taken: 9.44 seconds 
Epoch: 63/200 Train accuracy: 2.33960e-01 Validation accuracy: 2.16600e-01 Loss 3.44578e-02 Validation Loss 3.49014e-02 Time taken: 9.44 seconds 
Epoch: 64/200 Train accuracy: 2.34420e-01 Validation accuracy: 2.16200e-01 Loss 3.44560e-02 Validation Loss 3.49023e-02 Time taken: 9.69 seconds 
Epoch: 65/200 Train accuracy: 2.34920e-01 Validation accuracy: 2.15700e-01 Loss 3.44525e-02 Validation Loss 3.48995e-02 Time taken: 9.53 seconds 
Epoch: 66/200 Train accuracy: 2.35420e-01 Validation accuracy: 2.16300e-01 Loss 3.44498e-02 Validation Loss 3.49003e-02 Time taken: 10.02 seconds 
Epoch: 67/200 Train accuracy: 2.35680e-01 Validation accuracy: 2.16900e-01 Loss 3.44469e-02 Validation Loss 3.48974e-02 Time taken: 9.69 seconds 
Epoch: 68/200 Train accuracy: 2.35540e-01 Validation accuracy: 2.17800e-01 Loss 3.44450e-02 Validation Loss 3.48929e-02 Time taken: 9.51 seconds 
Epoch: 69/200 Train accuracy: 2.36280e-01 Validation accuracy: 2.16300e-01 Loss 3.44423e-02 Validation Loss 3.48910e-02 Time taken: 9.70 seconds 
Epoch: 70/200 Train accuracy: 2.36320e-01 Validation accuracy: 2.16700e-01 Loss 3.44406e-02 Validation Loss 3.48932e-02 Time taken: 9.47 seconds 
Epoch: 71/200 Train accuracy: 2.36400e-01 Validation accuracy: 2.17300e-01 Loss 3.44377e-02 Validation Loss 3.48930e-02 Time taken: 9.37 seconds 
Epoch: 72/200 Train accuracy: 2.37200e-01 Validation accuracy: 2.17600e-01 Loss 3.44346e-02 Validation Loss 3.48860e-02 Time taken: 9.84 seconds 
Epoch: 73/200 Train accuracy: 2.37540e-01 Validation accuracy: 2.17200e-01 Loss 3.44321e-02 Validation Loss 3.48857e-02 Time taken: 9.41 seconds 
Epoch: 74/200 Train accuracy: 2.37820e-01 Validation accuracy: 2.18000e-01 Loss 3.44304e-02 Validation Loss 3.48859e-02 Time taken: 9.14 seconds 
Epoch: 75/200 Train accuracy: 2.38340e-01 Validation accuracy: 2.18000e-01 Loss 3.44292e-02 Validation Loss 3.48829e-02 Time taken: 9.79 seconds 
Epoch: 76/200 Train accuracy: 2.38040e-01 Validation accuracy: 2.17500e-01 Loss 3.44265e-02 Validation Loss 3.48835e-02 Time taken: 9.37 seconds 
Epoch: 77/200 Train accuracy: 2.37760e-01 Validation accuracy: 2.18000e-01 Loss 3.44249e-02 Validation Loss 3.48789e-02 Time taken: 9.26 seconds 
Epoch: 78/200 Train accuracy: 2.38520e-01 Validation accuracy: 2.19100e-01 Loss 3.44212e-02 Validation Loss 3.48794e-02 Time taken: 9.99 seconds 
Epoch: 79/200 Train accuracy: 2.39240e-01 Validation accuracy: 2.18600e-01 Loss 3.44197e-02 Validation Loss 3.48847e-02 Time taken: 9.31 seconds 
Epoch: 80/200 Train accuracy: 2.39060e-01 Validation accuracy: 2.18200e-01 Loss 3.44174e-02 Validation Loss 3.48786e-02 Time taken: 9.43 seconds 
Epoch: 81/200 Train accuracy: 2.39120e-01 Validation accuracy: 2.18800e-01 Loss 3.44165e-02 Validation Loss 3.48738e-02 Time taken: 9.10 seconds 
Epoch: 82/200 Train accuracy: 2.40020e-01 Validation accuracy: 2.18600e-01 Loss 3.44137e-02 Validation Loss 3.48788e-02 Time taken: 9.28 seconds 
Epoch: 83/200 Train accuracy: 2.40260e-01 Validation accuracy: 2.19100e-01 Loss 3.44110e-02 Validation Loss 3.48716e-02 Time taken: 9.54 seconds 
Epoch: 84/200 Train accuracy: 2.40460e-01 Validation accuracy: 2.20500e-01 Loss 3.44055e-02 Validation Loss 3.48644e-02 Time taken: 9.21 seconds 
Epoch: 85/200 Train accuracy: 2.41680e-01 Validation accuracy: 2.20800e-01 Loss 3.44014e-02 Validation Loss 3.48580e-02 Time taken: 9.33 seconds 
Epoch: 86/200 Train accuracy: 2.42340e-01 Validation accuracy: 2.21000e-01 Loss 3.43975e-02 Validation Loss 3.48568e-02 Time taken: 9.64 seconds 
Epoch: 87/200 Train accuracy: 2.43120e-01 Validation accuracy: 2.21600e-01 Loss 3.43914e-02 Validation Loss 3.48568e-02 Time taken: 9.49 seconds 
Epoch: 88/200 Train accuracy: 2.43100e-01 Validation accuracy: 2.22000e-01 Loss 3.43899e-02 Validation Loss 3.48561e-02 Time taken: 9.17 seconds 
Epoch: 89/200 Train accuracy: 2.43360e-01 Validation accuracy: 2.22600e-01 Loss 3.43856e-02 Validation Loss 3.48483e-02 Time taken: 9.33 seconds 
Epoch: 90/200 Train accuracy: 2.43920e-01 Validation accuracy: 2.22200e-01 Loss 3.43834e-02 Validation Loss 3.48510e-02 Time taken: 9.36 seconds 
Epoch: 91/200 Train accuracy: 2.43900e-01 Validation accuracy: 2.22000e-01 Loss 3.43819e-02 Validation Loss 3.48450e-02 Time taken: 9.57 seconds 
Epoch: 92/200 Train accuracy: 2.44600e-01 Validation accuracy: 2.22700e-01 Loss 3.43795e-02 Validation Loss 3.48464e-02 Time taken: 9.55 seconds 
Epoch: 93/200 Train accuracy: 2.44920e-01 Validation accuracy: 2.24900e-01 Loss 3.43756e-02 Validation Loss 3.48399e-02 Time taken: 9.17 seconds 
Epoch: 94/200 Train accuracy: 2.45160e-01 Validation accuracy: 2.24200e-01 Loss 3.43749e-02 Validation Loss 3.48399e-02 Time taken: 9.70 seconds 
Epoch: 95/200 Train accuracy: 2.46360e-01 Validation accuracy: 2.23200e-01 Loss 3.43711e-02 Validation Loss 3.48387e-02 Time taken: 9.57 seconds 
Epoch: 96/200 Train accuracy: 2.45800e-01 Validation accuracy: 2.23700e-01 Loss 3.43696e-02 Validation Loss 3.48420e-02 Time taken: 10.00 seconds 
Epoch: 97/200 Train accuracy: 2.45920e-01 Validation accuracy: 2.24400e-01 Loss 3.43687e-02 Validation Loss 3.48355e-02 Time taken: 10.05 seconds 
Epoch: 98/200 Train accuracy: 2.46280e-01 Validation accuracy: 2.24100e-01 Loss 3.43670e-02 Validation Loss 3.48363e-02 Time taken: 9.37 seconds 
Epoch: 99/200 Train accuracy: 2.47100e-01 Validation accuracy: 2.24300e-01 Loss 3.43645e-02 Validation Loss 3.48376e-02 Time taken: 9.05 seconds 
Epoch: 100/200 Train accuracy: 2.46960e-01 Validation accuracy: 2.24000e-01 Loss 3.43619e-02 Validation Loss 3.48351e-02 Time taken: 9.34 seconds 
Epoch: 101/200 Train accuracy: 2.46800e-01 Validation accuracy: 2.23400e-01 Loss 3.43599e-02 Validation Loss 3.48385e-02 Time taken: 9.64 seconds 
Epoch: 102/200 Train accuracy: 2.47160e-01 Validation accuracy: 2.24700e-01 Loss 3.43590e-02 Validation Loss 3.48305e-02 Time taken: 9.79 seconds 
Epoch: 103/200 Train accuracy: 2.47560e-01 Validation accuracy: 2.23800e-01 Loss 3.43567e-02 Validation Loss 3.48321e-02 Time taken: 9.22 seconds 
Epoch: 104/200 Train accuracy: 2.48080e-01 Validation accuracy: 2.24500e-01 Loss 3.43560e-02 Validation Loss 3.48289e-02 Time taken: 9.34 seconds 
Epoch: 105/200 Train accuracy: 2.47760e-01 Validation accuracy: 2.24800e-01 Loss 3.43541e-02 Validation Loss 3.48270e-02 Time taken: 9.69 seconds 
Epoch: 106/200 Train accuracy: 2.48420e-01 Validation accuracy: 2.24200e-01 Loss 3.43518e-02 Validation Loss 3.48262e-02 Time taken: 9.11 seconds 
Epoch: 107/200 Train accuracy: 2.47880e-01 Validation accuracy: 2.25700e-01 Loss 3.43491e-02 Validation Loss 3.48292e-02 Time taken: 9.76 seconds 
Epoch: 108/200 Train accuracy: 2.48700e-01 Validation accuracy: 2.24300e-01 Loss 3.43491e-02 Validation Loss 3.48293e-02 Time taken: 10.09 seconds 
Epoch: 109/200 Train accuracy: 2.49240e-01 Validation accuracy: 2.21800e-01 Loss 3.43476e-02 Validation Loss 3.48291e-02 Time taken: 9.37 seconds 
Epoch: 110/200 Train accuracy: 2.48680e-01 Validation accuracy: 2.25000e-01 Loss 3.43447e-02 Validation Loss 3.48255e-02 Time taken: 9.60 seconds 
Epoch: 111/200 Train accuracy: 2.49060e-01 Validation accuracy: 2.23800e-01 Loss 3.43430e-02 Validation Loss 3.48266e-02 Time taken: 9.77 seconds 
Epoch: 112/200 Train accuracy: 2.49060e-01 Validation accuracy: 2.25400e-01 Loss 3.43430e-02 Validation Loss 3.48226e-02 Time taken: 9.16 seconds 
Epoch: 113/200 Train accuracy: 2.50500e-01 Validation accuracy: 2.26500e-01 Loss 3.43401e-02 Validation Loss 3.48191e-02 Time taken: 9.58 seconds 
Epoch: 114/200 Train accuracy: 2.50240e-01 Validation accuracy: 2.24100e-01 Loss 3.43379e-02 Validation Loss 3.48203e-02 Time taken: 9.21 seconds 
Epoch: 115/200 Train accuracy: 2.50140e-01 Validation accuracy: 2.23800e-01 Loss 3.43367e-02 Validation Loss 3.48200e-02 Time taken: 9.66 seconds 
Epoch: 116/200 Train accuracy: 2.51000e-01 Validation accuracy: 2.25400e-01 Loss 3.43361e-02 Validation Loss 3.48134e-02 Time taken: 9.19 seconds 
Epoch: 117/200 Train accuracy: 2.50380e-01 Validation accuracy: 2.25800e-01 Loss 3.43340e-02 Validation Loss 3.48150e-02 Time taken: 10.00 seconds 
Epoch: 118/200 Train accuracy: 2.51320e-01 Validation accuracy: 2.26300e-01 Loss 3.43320e-02 Validation Loss 3.48147e-02 Time taken: 9.57 seconds 
Epoch: 119/200 Train accuracy: 2.51180e-01 Validation accuracy: 2.24900e-01 Loss 3.43306e-02 Validation Loss 3.48199e-02 Time taken: 9.52 seconds 
Epoch: 120/200 Train accuracy: 2.52020e-01 Validation accuracy: 2.27100e-01 Loss 3.43291e-02 Validation Loss 3.48142e-02 Time taken: 9.64 seconds 
Epoch: 121/200 Train accuracy: 2.51420e-01 Validation accuracy: 2.26500e-01 Loss 3.43278e-02 Validation Loss 3.48110e-02 Time taken: 9.67 seconds 
Epoch: 122/200 Train accuracy: 2.52020e-01 Validation accuracy: 2.25100e-01 Loss 3.43278e-02 Validation Loss 3.48127e-02 Time taken: 9.55 seconds 
Epoch: 123/200 Train accuracy: 2.51860e-01 Validation accuracy: 2.26000e-01 Loss 3.43251e-02 Validation Loss 3.48133e-02 Time taken: 9.16 seconds 
Epoch: 124/200 Train accuracy: 2.51440e-01 Validation accuracy: 2.26400e-01 Loss 3.43254e-02 Validation Loss 3.48088e-02 Time taken: 9.53 seconds 
Epoch: 125/200 Train accuracy: 2.52180e-01 Validation accuracy: 2.25600e-01 Loss 3.43238e-02 Validation Loss 3.48116e-02 Time taken: 9.38 seconds 
Epoch: 126/200 Train accuracy: 2.52840e-01 Validation accuracy: 2.27200e-01 Loss 3.43221e-02 Validation Loss 3.48097e-02 Time taken: 9.73 seconds 
Epoch: 127/200 Train accuracy: 2.52600e-01 Validation accuracy: 2.26100e-01 Loss 3.43224e-02 Validation Loss 3.48062e-02 Time taken: 10.00 seconds 
Epoch: 128/200 Train accuracy: 2.52540e-01 Validation accuracy: 2.27100e-01 Loss 3.43204e-02 Validation Loss 3.48054e-02 Time taken: 9.47 seconds 
Epoch: 129/200 Train accuracy: 2.52920e-01 Validation accuracy: 2.25200e-01 Loss 3.43179e-02 Validation Loss 3.48071e-02 Time taken: 9.43 seconds 
Epoch: 130/200 Train accuracy: 2.52340e-01 Validation accuracy: 2.26800e-01 Loss 3.43170e-02 Validation Loss 3.48037e-02 Time taken: 9.94 seconds 
Epoch: 131/200 Train accuracy: 2.53520e-01 Validation accuracy: 2.27600e-01 Loss 3.43149e-02 Validation Loss 3.48003e-02 Time taken: 9.58 seconds 
Epoch: 132/200 Train accuracy: 2.53020e-01 Validation accuracy: 2.27000e-01 Loss 3.43135e-02 Validation Loss 3.48057e-02 Time taken: 9.62 seconds 
Epoch: 133/200 Train accuracy: 2.53240e-01 Validation accuracy: 2.26900e-01 Loss 3.43135e-02 Validation Loss 3.47998e-02 Time taken: 9.88 seconds 
Epoch: 134/200 Train accuracy: 2.53100e-01 Validation accuracy: 2.27300e-01 Loss 3.43106e-02 Validation Loss 3.47970e-02 Time taken: 9.28 seconds 
Epoch: 135/200 Train accuracy: 2.54380e-01 Validation accuracy: 2.27800e-01 Loss 3.43087e-02 Validation Loss 3.47992e-02 Time taken: 9.79 seconds 
Epoch: 136/200 Train accuracy: 2.53920e-01 Validation accuracy: 2.27300e-01 Loss 3.43087e-02 Validation Loss 3.47988e-02 Time taken: 9.30 seconds 
Epoch: 137/200 Train accuracy: 2.54300e-01 Validation accuracy: 2.28700e-01 Loss 3.43072e-02 Validation Loss 3.47899e-02 Time taken: 9.28 seconds 
Epoch: 138/200 Train accuracy: 2.53880e-01 Validation accuracy: 2.28700e-01 Loss 3.43070e-02 Validation Loss 3.47978e-02 Time taken: 9.63 seconds 
Epoch: 139/200 Train accuracy: 2.54060e-01 Validation accuracy: 2.29000e-01 Loss 3.43060e-02 Validation Loss 3.47947e-02 Time taken: 9.86 seconds 
Epoch: 140/200 Train accuracy: 2.54660e-01 Validation accuracy: 2.27500e-01 Loss 3.43046e-02 Validation Loss 3.47950e-02 Time taken: 9.80 seconds 
Epoch: 141/200 Train accuracy: 2.54320e-01 Validation accuracy: 2.27000e-01 Loss 3.43020e-02 Validation Loss 3.47976e-02 Time taken: 10.02 seconds 
Epoch: 142/200 Train accuracy: 2.55140e-01 Validation accuracy: 2.29700e-01 Loss 3.43019e-02 Validation Loss 3.47908e-02 Time taken: 9.85 seconds 
Epoch: 143/200 Train accuracy: 2.55180e-01 Validation accuracy: 2.28600e-01 Loss 3.43007e-02 Validation Loss 3.47884e-02 Time taken: 9.73 seconds 
Epoch: 144/200 Train accuracy: 2.54980e-01 Validation accuracy: 2.28400e-01 Loss 3.42995e-02 Validation Loss 3.47946e-02 Time taken: 9.43 seconds 
Epoch: 145/200 Train accuracy: 2.55540e-01 Validation accuracy: 2.30600e-01 Loss 3.42969e-02 Validation Loss 3.47893e-02 Time taken: 9.69 seconds 
Epoch: 146/200 Train accuracy: 2.56080e-01 Validation accuracy: 2.29900e-01 Loss 3.42954e-02 Validation Loss 3.47859e-02 Time taken: 9.80 seconds 
Epoch: 147/200 Train accuracy: 2.56660e-01 Validation accuracy: 2.29500e-01 Loss 3.42934e-02 Validation Loss 3.47861e-02 Time taken: 10.41 seconds 
Epoch: 148/200 Train accuracy: 2.56240e-01 Validation accuracy: 2.30300e-01 Loss 3.42911e-02 Validation Loss 3.47837e-02 Time taken: 9.48 seconds 
Epoch: 149/200 Train accuracy: 2.56780e-01 Validation accuracy: 2.28600e-01 Loss 3.42903e-02 Validation Loss 3.47877e-02 Time taken: 9.24 seconds 
Epoch: 150/200 Train accuracy: 2.57200e-01 Validation accuracy: 2.30300e-01 Loss 3.42879e-02 Validation Loss 3.47836e-02 Time taken: 9.64 seconds 
Epoch: 151/200 Train accuracy: 2.57460e-01 Validation accuracy: 2.30500e-01 Loss 3.42879e-02 Validation Loss 3.47867e-02 Time taken: 9.42 seconds 
Epoch: 152/200 Train accuracy: 2.58040e-01 Validation accuracy: 2.28600e-01 Loss 3.42863e-02 Validation Loss 3.47865e-02 Time taken: 9.55 seconds 
Epoch: 153/200 Train accuracy: 2.57200e-01 Validation accuracy: 2.30500e-01 Loss 3.42851e-02 Validation Loss 3.47849e-02 Time taken: 9.30 seconds 
Epoch: 154/200 Train accuracy: 2.57660e-01 Validation accuracy: 2.30100e-01 Loss 3.42841e-02 Validation Loss 3.47867e-02 Time taken: 9.28 seconds 
Epoch: 155/200 Train accuracy: 2.57800e-01 Validation accuracy: 2.29600e-01 Loss 3.42823e-02 Validation Loss 3.47831e-02 Time taken: 9.48 seconds 
Epoch: 156/200 Train accuracy: 2.58340e-01 Validation accuracy: 2.29200e-01 Loss 3.42820e-02 Validation Loss 3.47793e-02 Time taken: 9.33 seconds 
Epoch: 157/200 Train accuracy: 2.57440e-01 Validation accuracy: 2.31500e-01 Loss 3.42793e-02 Validation Loss 3.47781e-02 Time taken: 9.67 seconds 
Epoch: 158/200 Train accuracy: 2.58640e-01 Validation accuracy: 2.31500e-01 Loss 3.42770e-02 Validation Loss 3.47745e-02 Time taken: 10.13 seconds 
Epoch: 159/200 Train accuracy: 2.59680e-01 Validation accuracy: 2.31500e-01 Loss 3.42740e-02 Validation Loss 3.47746e-02 Time taken: 9.74 seconds 
Epoch: 160/200 Train accuracy: 2.59780e-01 Validation accuracy: 2.31400e-01 Loss 3.42713e-02 Validation Loss 3.47709e-02 Time taken: 9.21 seconds 
Epoch: 161/200 Train accuracy: 2.59280e-01 Validation accuracy: 2.32000e-01 Loss 3.42698e-02 Validation Loss 3.47688e-02 Time taken: 9.56 seconds 
Epoch: 162/200 Train accuracy: 2.59960e-01 Validation accuracy: 2.32900e-01 Loss 3.42686e-02 Validation Loss 3.47655e-02 Time taken: 9.67 seconds 
Epoch: 163/200 Train accuracy: 2.61020e-01 Validation accuracy: 2.33200e-01 Loss 3.42672e-02 Validation Loss 3.47677e-02 Time taken: 9.70 seconds 
Epoch: 164/200 Train accuracy: 2.60500e-01 Validation accuracy: 2.32700e-01 Loss 3.42648e-02 Validation Loss 3.47629e-02 Time taken: 9.14 seconds 
Epoch: 165/200 Train accuracy: 2.60360e-01 Validation accuracy: 2.32400e-01 Loss 3.42644e-02 Validation Loss 3.47639e-02 Time taken: 9.54 seconds 
Epoch: 166/200 Train accuracy: 2.61000e-01 Validation accuracy: 2.32700e-01 Loss 3.42623e-02 Validation Loss 3.47635e-02 Time taken: 10.05 seconds 
Epoch: 167/200 Train accuracy: 2.60980e-01 Validation accuracy: 2.32900e-01 Loss 3.42614e-02 Validation Loss 3.47632e-02 Time taken: 9.89 seconds 
Epoch: 168/200 Train accuracy: 2.61180e-01 Validation accuracy: 2.33800e-01 Loss 3.42604e-02 Validation Loss 3.47592e-02 Time taken: 9.65 seconds 
Epoch: 169/200 Train accuracy: 2.61280e-01 Validation accuracy: 2.32100e-01 Loss 3.42594e-02 Validation Loss 3.47598e-02 Time taken: 9.42 seconds 
Epoch: 170/200 Train accuracy: 2.61660e-01 Validation accuracy: 2.33900e-01 Loss 3.42580e-02 Validation Loss 3.47626e-02 Time taken: 7.77 seconds 
Epoch: 171/200 Train accuracy: 2.62020e-01 Validation accuracy: 2.33000e-01 Loss 3.42555e-02 Validation Loss 3.47620e-02 Time taken: 7.33 seconds 
Epoch: 172/200 Train accuracy: 2.61820e-01 Validation accuracy: 2.34200e-01 Loss 3.42557e-02 Validation Loss 3.47585e-02 Time taken: 7.51 seconds 
Epoch: 173/200 Train accuracy: 2.62340e-01 Validation accuracy: 2.34800e-01 Loss 3.42548e-02 Validation Loss 3.47561e-02 Time taken: 7.47 seconds 
Epoch: 174/200 Train accuracy: 2.61800e-01 Validation accuracy: 2.34600e-01 Loss 3.42526e-02 Validation Loss 3.47639e-02 Time taken: 7.43 seconds 
Epoch: 175/200 Train accuracy: 2.62600e-01 Validation accuracy: 2.32300e-01 Loss 3.42517e-02 Validation Loss 3.47623e-02 Time taken: 7.52 seconds 
Epoch: 176/200 Train accuracy: 2.62600e-01 Validation accuracy: 2.34600e-01 Loss 3.42512e-02 Validation Loss 3.47547e-02 Time taken: 7.63 seconds 
Epoch: 177/200 Train accuracy: 2.62840e-01 Validation accuracy: 2.34200e-01 Loss 3.42512e-02 Validation Loss 3.47564e-02 Time taken: 7.48 seconds 
Epoch: 178/200 Train accuracy: 2.62680e-01 Validation accuracy: 2.34500e-01 Loss 3.42495e-02 Validation Loss 3.47524e-02 Time taken: 7.55 seconds 
Epoch: 179/200 Train accuracy: 2.62860e-01 Validation accuracy: 2.33700e-01 Loss 3.42489e-02 Validation Loss 3.47536e-02 Time taken: 7.44 seconds 
Epoch: 180/200 Train accuracy: 2.62920e-01 Validation accuracy: 2.35000e-01 Loss 3.42471e-02 Validation Loss 3.47520e-02 Time taken: 7.59 seconds 
Epoch: 181/200 Train accuracy: 2.63200e-01 Validation accuracy: 2.34100e-01 Loss 3.42454e-02 Validation Loss 3.47533e-02 Time taken: 7.53 seconds 
Epoch: 182/200 Train accuracy: 2.63220e-01 Validation accuracy: 2.33600e-01 Loss 3.42461e-02 Validation Loss 3.47555e-02 Time taken: 7.64 seconds 
Epoch: 183/200 Train accuracy: 2.63340e-01 Validation accuracy: 2.35700e-01 Loss 3.42442e-02 Validation Loss 3.47542e-02 Time taken: 7.45 seconds 
Epoch: 184/200 Train accuracy: 2.63100e-01 Validation accuracy: 2.33700e-01 Loss 3.42432e-02 Validation Loss 3.47590e-02 Time taken: 7.52 seconds 
Epoch: 185/200 Train accuracy: 2.63560e-01 Validation accuracy: 2.35200e-01 Loss 3.42427e-02 Validation Loss 3.47496e-02 Time taken: 7.57 seconds 
Epoch: 186/200 Train accuracy: 2.64020e-01 Validation accuracy: 2.35900e-01 Loss 3.42406e-02 Validation Loss 3.47476e-02 Time taken: 7.52 seconds 
Epoch: 187/200 Train accuracy: 2.64900e-01 Validation accuracy: 2.35400e-01 Loss 3.42393e-02 Validation Loss 3.47475e-02 Time taken: 7.57 seconds 
Epoch: 188/200 Train accuracy: 2.64920e-01 Validation accuracy: 2.36500e-01 Loss 3.42382e-02 Validation Loss 3.47403e-02 Time taken: 7.51 seconds 
Epoch: 189/200 Train accuracy: 2.64960e-01 Validation accuracy: 2.36000e-01 Loss 3.42362e-02 Validation Loss 3.47406e-02 Time taken: 7.56 seconds 
Epoch: 190/200 Train accuracy: 2.64660e-01 Validation accuracy: 2.37100e-01 Loss 3.42350e-02 Validation Loss 3.47399e-02 Time taken: 7.84 seconds 
Epoch: 191/200 Train accuracy: 2.65700e-01 Validation accuracy: 2.37700e-01 Loss 3.42341e-02 Validation Loss 3.47365e-02 Time taken: 7.97 seconds 
Epoch: 192/200 Train accuracy: 2.65160e-01 Validation accuracy: 2.36600e-01 Loss 3.42325e-02 Validation Loss 3.47380e-02 Time taken: 7.53 seconds 
Epoch: 193/200 Train accuracy: 2.65060e-01 Validation accuracy: 2.35900e-01 Loss 3.42325e-02 Validation Loss 3.47389e-02 Time taken: 7.44 seconds 
Epoch: 194/200 Train accuracy: 2.65040e-01 Validation accuracy: 2.36200e-01 Loss 3.42317e-02 Validation Loss 3.47355e-02 Time taken: 7.75 seconds 
Epoch: 195/200 Train accuracy: 2.65120e-01 Validation accuracy: 2.36600e-01 Loss 3.42315e-02 Validation Loss 3.47411e-02 Time taken: 9.88 seconds 
Epoch: 196/200 Train accuracy: 2.66180e-01 Validation accuracy: 2.35300e-01 Loss 3.42293e-02 Validation Loss 3.47438e-02 Time taken: 9.85 seconds 
Epoch: 197/200 Train accuracy: 2.65360e-01 Validation accuracy: 2.36100e-01 Loss 3.42286e-02 Validation Loss 3.47369e-02 Time taken: 9.45 seconds 
Epoch: 198/200 Train accuracy: 2.66240e-01 Validation accuracy: 2.37200e-01 Loss 3.42278e-02 Validation Loss 3.47363e-02 Time taken: 9.61 seconds 
Epoch: 199/200 Train accuracy: 2.64820e-01 Validation accuracy: 2.35400e-01 Loss 3.42274e-02 Validation Loss 3.47398e-02 Time taken: 9.31 seconds 
Epoch: 200/200 Train accuracy: 2.65500e-01 Validation accuracy: 2.36300e-01 Loss 3.42268e-02 Validation Loss 3.47379e-02 Time taken: 9.71 seconds 
Total time taken 0:31:04.187034
Cleaning up intermediate feature (.pt) files
Done


working on file logs_STL/stl-l2-seed0/jepa-stl-l2-seed0-ep150.pth.tar ...
Directory logs_STL/stl-l2-seed0/classifiers for saving the classifiers is now present
VisionTransformer(
  (patch_embed): PatchEmbed(
    (proj): Conv2d(3, 768, kernel_size=(15, 15), stride=(15, 15))
  )
  (blocks): ModuleList(
    (0-11): 12 x Block(
      (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (attn): Attention(
        (qkv): Linear(in_features=768, out_features=2304, bias=True)
        (attn_drop): Dropout(p=0.0, inplace=False)
        (proj): Linear(in_features=768, out_features=768, bias=True)
        (proj_drop): Dropout(p=0.0, inplace=False)
      )
      (drop_path): Identity()
      (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (mlp): MLP(
        (fc1): Linear(in_features=768, out_features=3072, bias=True)
        (act): GELU(approximate='none')
        (fc2): Linear(in_features=3072, out_features=768, bias=True)
        (drop): Dropout(p=0.0, inplace=False)
      )
    )
  )
  (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
)
Extracting features and saving them in memory..
Extracting features...
Done extracting features...
 Creating datasets
Created datasets...
 Creating data loaders
Done with data loaders
Commencing training
Epoch: 1/200 Train accuracy: 7.89600e-02 Validation accuracy: 1.13000e-01 Loss 3.56306e-02 Validation Loss 3.57718e-02 Time taken: 9.48 seconds 
Epoch: 2/200 Train accuracy: 1.22920e-01 Validation accuracy: 1.35000e-01 Loss 3.53298e-02 Validation Loss 3.56070e-02 Time taken: 9.57 seconds 
Epoch: 3/200 Train accuracy: 1.38220e-01 Validation accuracy: 1.45000e-01 Loss 3.52052e-02 Validation Loss 3.55244e-02 Time taken: 9.60 seconds 
Epoch: 4/200 Train accuracy: 1.49380e-01 Validation accuracy: 1.55000e-01 Loss 3.51270e-02 Validation Loss 3.54573e-02 Time taken: 9.50 seconds 
Epoch: 5/200 Train accuracy: 1.59720e-01 Validation accuracy: 1.59500e-01 Loss 3.50562e-02 Validation Loss 3.54068e-02 Time taken: 9.72 seconds 
Epoch: 6/200 Train accuracy: 1.64700e-01 Validation accuracy: 1.63100e-01 Loss 3.50095e-02 Validation Loss 3.53721e-02 Time taken: 8.90 seconds 
Epoch: 7/200 Train accuracy: 1.67800e-01 Validation accuracy: 1.63700e-01 Loss 3.49760e-02 Validation Loss 3.53552e-02 Time taken: 9.71 seconds 
Epoch: 8/200 Train accuracy: 1.69180e-01 Validation accuracy: 1.66000e-01 Loss 3.49531e-02 Validation Loss 3.53339e-02 Time taken: 10.13 seconds 
Epoch: 9/200 Train accuracy: 1.71460e-01 Validation accuracy: 1.68100e-01 Loss 3.49316e-02 Validation Loss 3.53152e-02 Time taken: 9.34 seconds 
Epoch: 10/200 Train accuracy: 1.72920e-01 Validation accuracy: 1.68600e-01 Loss 3.49135e-02 Validation Loss 3.53045e-02 Time taken: 9.18 seconds 
Epoch: 11/200 Train accuracy: 1.74380e-01 Validation accuracy: 1.69900e-01 Loss 3.48991e-02 Validation Loss 3.52917e-02 Time taken: 9.75 seconds 
Epoch: 12/200 Train accuracy: 1.76060e-01 Validation accuracy: 1.69400e-01 Loss 3.48851e-02 Validation Loss 3.52826e-02 Time taken: 10.18 seconds 
Epoch: 13/200 Train accuracy: 1.76800e-01 Validation accuracy: 1.71700e-01 Loss 3.48734e-02 Validation Loss 3.52657e-02 Time taken: 9.60 seconds 
Epoch: 14/200 Train accuracy: 1.79000e-01 Validation accuracy: 1.73700e-01 Loss 3.48587e-02 Validation Loss 3.52600e-02 Time taken: 9.57 seconds 
Epoch: 15/200 Train accuracy: 1.80640e-01 Validation accuracy: 1.75900e-01 Loss 3.48457e-02 Validation Loss 3.52402e-02 Time taken: 9.74 seconds 
Epoch: 16/200 Train accuracy: 1.82100e-01 Validation accuracy: 1.74800e-01 Loss 3.48342e-02 Validation Loss 3.52374e-02 Time taken: 9.52 seconds 
Epoch: 17/200 Train accuracy: 1.82540e-01 Validation accuracy: 1.74200e-01 Loss 3.48255e-02 Validation Loss 3.52219e-02 Time taken: 9.67 seconds 
Epoch: 18/200 Train accuracy: 1.84240e-01 Validation accuracy: 1.78000e-01 Loss 3.48149e-02 Validation Loss 3.52129e-02 Time taken: 9.78 seconds 
Epoch: 19/200 Train accuracy: 1.85020e-01 Validation accuracy: 1.78200e-01 Loss 3.48056e-02 Validation Loss 3.52125e-02 Time taken: 9.67 seconds 
Epoch: 20/200 Train accuracy: 1.86320e-01 Validation accuracy: 1.82000e-01 Loss 3.47974e-02 Validation Loss 3.51996e-02 Time taken: 9.22 seconds 
Epoch: 21/200 Train accuracy: 1.86440e-01 Validation accuracy: 1.80400e-01 Loss 3.47919e-02 Validation Loss 3.51950e-02 Time taken: 9.82 seconds 
Epoch: 22/200 Train accuracy: 1.87980e-01 Validation accuracy: 1.80600e-01 Loss 3.47834e-02 Validation Loss 3.51873e-02 Time taken: 9.57 seconds 
Epoch: 23/200 Train accuracy: 1.89160e-01 Validation accuracy: 1.81800e-01 Loss 3.47777e-02 Validation Loss 3.51813e-02 Time taken: 9.84 seconds 
Epoch: 24/200 Train accuracy: 1.88880e-01 Validation accuracy: 1.80900e-01 Loss 3.47698e-02 Validation Loss 3.51767e-02 Time taken: 9.66 seconds 
Epoch: 25/200 Train accuracy: 1.89780e-01 Validation accuracy: 1.81500e-01 Loss 3.47647e-02 Validation Loss 3.51744e-02 Time taken: 9.24 seconds 
Epoch: 26/200 Train accuracy: 1.91100e-01 Validation accuracy: 1.82500e-01 Loss 3.47600e-02 Validation Loss 3.51697e-02 Time taken: 9.92 seconds 
Epoch: 27/200 Train accuracy: 1.91580e-01 Validation accuracy: 1.82400e-01 Loss 3.47539e-02 Validation Loss 3.51700e-02 Time taken: 9.64 seconds 
Epoch: 28/200 Train accuracy: 1.91740e-01 Validation accuracy: 1.82600e-01 Loss 3.47461e-02 Validation Loss 3.51676e-02 Time taken: 9.72 seconds 
Epoch: 29/200 Train accuracy: 1.92960e-01 Validation accuracy: 1.82900e-01 Loss 3.47403e-02 Validation Loss 3.51585e-02 Time taken: 9.45 seconds 
Epoch: 30/200 Train accuracy: 1.94360e-01 Validation accuracy: 1.83800e-01 Loss 3.47349e-02 Validation Loss 3.51550e-02 Time taken: 9.95 seconds 
Epoch: 31/200 Train accuracy: 1.95080e-01 Validation accuracy: 1.83500e-01 Loss 3.47288e-02 Validation Loss 3.51520e-02 Time taken: 9.40 seconds 
Epoch: 32/200 Train accuracy: 1.95020e-01 Validation accuracy: 1.86000e-01 Loss 3.47226e-02 Validation Loss 3.51411e-02 Time taken: 9.55 seconds 
Epoch: 33/200 Train accuracy: 1.96200e-01 Validation accuracy: 1.85000e-01 Loss 3.47170e-02 Validation Loss 3.51396e-02 Time taken: 9.76 seconds 
Epoch: 34/200 Train accuracy: 1.97220e-01 Validation accuracy: 1.86500e-01 Loss 3.47105e-02 Validation Loss 3.51359e-02 Time taken: 9.47 seconds 
Epoch: 35/200 Train accuracy: 1.97700e-01 Validation accuracy: 1.86300e-01 Loss 3.47038e-02 Validation Loss 3.51320e-02 Time taken: 9.25 seconds 
Epoch: 36/200 Train accuracy: 2.00420e-01 Validation accuracy: 1.89700e-01 Loss 3.46900e-02 Validation Loss 3.51094e-02 Time taken: 9.14 seconds 
Epoch: 37/200 Train accuracy: 2.02560e-01 Validation accuracy: 1.90200e-01 Loss 3.46719e-02 Validation Loss 3.51022e-02 Time taken: 9.41 seconds 
Epoch: 38/200 Train accuracy: 2.04100e-01 Validation accuracy: 1.91100e-01 Loss 3.46624e-02 Validation Loss 3.50973e-02 Time taken: 9.29 seconds 
Epoch: 39/200 Train accuracy: 2.04280e-01 Validation accuracy: 1.91000e-01 Loss 3.46591e-02 Validation Loss 3.50932e-02 Time taken: 9.60 seconds 
Epoch: 40/200 Train accuracy: 2.04880e-01 Validation accuracy: 1.90600e-01 Loss 3.46535e-02 Validation Loss 3.50880e-02 Time taken: 9.45 seconds 
Epoch: 41/200 Train accuracy: 2.05600e-01 Validation accuracy: 1.90200e-01 Loss 3.46494e-02 Validation Loss 3.50899e-02 Time taken: 9.32 seconds 
Epoch: 42/200 Train accuracy: 2.05680e-01 Validation accuracy: 1.91100e-01 Loss 3.46452e-02 Validation Loss 3.50815e-02 Time taken: 9.57 seconds 
Epoch: 43/200 Train accuracy: 2.06940e-01 Validation accuracy: 1.92900e-01 Loss 3.46403e-02 Validation Loss 3.50800e-02 Time taken: 9.62 seconds 
Epoch: 44/200 Train accuracy: 2.07220e-01 Validation accuracy: 1.92200e-01 Loss 3.46372e-02 Validation Loss 3.50778e-02 Time taken: 9.50 seconds 
Epoch: 45/200 Train accuracy: 2.07440e-01 Validation accuracy: 1.92800e-01 Loss 3.46322e-02 Validation Loss 3.50729e-02 Time taken: 9.56 seconds 
Epoch: 46/200 Train accuracy: 2.08080e-01 Validation accuracy: 1.90900e-01 Loss 3.46284e-02 Validation Loss 3.50754e-02 Time taken: 9.51 seconds 
Epoch: 47/200 Train accuracy: 2.08140e-01 Validation accuracy: 1.92500e-01 Loss 3.46262e-02 Validation Loss 3.50701e-02 Time taken: 9.34 seconds 
Epoch: 48/200 Train accuracy: 2.09360e-01 Validation accuracy: 1.93400e-01 Loss 3.46219e-02 Validation Loss 3.50651e-02 Time taken: 9.22 seconds 
Epoch: 49/200 Train accuracy: 2.09840e-01 Validation accuracy: 1.93500e-01 Loss 3.46185e-02 Validation Loss 3.50627e-02 Time taken: 9.39 seconds 
Epoch: 50/200 Train accuracy: 2.10100e-01 Validation accuracy: 1.92600e-01 Loss 3.46155e-02 Validation Loss 3.50640e-02 Time taken: 10.03 seconds 
Epoch: 51/200 Train accuracy: 2.10840e-01 Validation accuracy: 1.92000e-01 Loss 3.46118e-02 Validation Loss 3.50605e-02 Time taken: 9.37 seconds 
Epoch: 52/200 Train accuracy: 2.10900e-01 Validation accuracy: 1.94300e-01 Loss 3.46078e-02 Validation Loss 3.50579e-02 Time taken: 9.73 seconds 
Epoch: 53/200 Train accuracy: 2.10680e-01 Validation accuracy: 1.95200e-01 Loss 3.46063e-02 Validation Loss 3.50522e-02 Time taken: 9.43 seconds 
Epoch: 54/200 Train accuracy: 2.11280e-01 Validation accuracy: 1.95200e-01 Loss 3.46031e-02 Validation Loss 3.50527e-02 Time taken: 9.26 seconds 
Epoch: 55/200 Train accuracy: 2.12560e-01 Validation accuracy: 1.95800e-01 Loss 3.45989e-02 Validation Loss 3.50500e-02 Time taken: 9.57 seconds 
Epoch: 56/200 Train accuracy: 2.12520e-01 Validation accuracy: 1.95400e-01 Loss 3.45977e-02 Validation Loss 3.50490e-02 Time taken: 9.80 seconds 
Epoch: 57/200 Train accuracy: 2.13120e-01 Validation accuracy: 1.95200e-01 Loss 3.45947e-02 Validation Loss 3.50503e-02 Time taken: 9.58 seconds 
Epoch: 58/200 Train accuracy: 2.12900e-01 Validation accuracy: 1.93100e-01 Loss 3.45916e-02 Validation Loss 3.50499e-02 Time taken: 9.70 seconds 
Epoch: 59/200 Train accuracy: 2.13680e-01 Validation accuracy: 1.94600e-01 Loss 3.45888e-02 Validation Loss 3.50470e-02 Time taken: 9.82 seconds 
Epoch: 60/200 Train accuracy: 2.14660e-01 Validation accuracy: 1.94700e-01 Loss 3.45850e-02 Validation Loss 3.50454e-02 Time taken: 9.92 seconds 
Epoch: 61/200 Train accuracy: 2.13540e-01 Validation accuracy: 1.99500e-01 Loss 3.45832e-02 Validation Loss 3.50338e-02 Time taken: 9.12 seconds 
Epoch: 62/200 Train accuracy: 2.15340e-01 Validation accuracy: 1.97500e-01 Loss 3.45807e-02 Validation Loss 3.50383e-02 Time taken: 9.18 seconds 
Epoch: 63/200 Train accuracy: 2.15160e-01 Validation accuracy: 1.95600e-01 Loss 3.45784e-02 Validation Loss 3.50355e-02 Time taken: 9.17 seconds 
Epoch: 64/200 Train accuracy: 2.14620e-01 Validation accuracy: 1.97300e-01 Loss 3.45762e-02 Validation Loss 3.50356e-02 Time taken: 9.50 seconds 
Epoch: 65/200 Train accuracy: 2.14840e-01 Validation accuracy: 1.97800e-01 Loss 3.45754e-02 Validation Loss 3.50323e-02 Time taken: 9.84 seconds 
Epoch: 66/200 Train accuracy: 2.15800e-01 Validation accuracy: 1.98400e-01 Loss 3.45710e-02 Validation Loss 3.50281e-02 Time taken: 9.40 seconds 
Epoch: 67/200 Train accuracy: 2.15740e-01 Validation accuracy: 1.96200e-01 Loss 3.45700e-02 Validation Loss 3.50302e-02 Time taken: 9.45 seconds 
Epoch: 68/200 Train accuracy: 2.15980e-01 Validation accuracy: 1.97100e-01 Loss 3.45691e-02 Validation Loss 3.50322e-02 Time taken: 9.59 seconds 
Epoch: 69/200 Train accuracy: 2.16620e-01 Validation accuracy: 1.98200e-01 Loss 3.45656e-02 Validation Loss 3.50279e-02 Time taken: 9.76 seconds 
Epoch: 70/200 Train accuracy: 2.17500e-01 Validation accuracy: 1.96200e-01 Loss 3.45628e-02 Validation Loss 3.50266e-02 Time taken: 9.93 seconds 
Epoch: 71/200 Train accuracy: 2.18080e-01 Validation accuracy: 1.98400e-01 Loss 3.45621e-02 Validation Loss 3.50245e-02 Time taken: 9.35 seconds 
Epoch: 72/200 Train accuracy: 2.17320e-01 Validation accuracy: 1.99100e-01 Loss 3.45596e-02 Validation Loss 3.50203e-02 Time taken: 9.39 seconds 
Epoch: 73/200 Train accuracy: 2.18000e-01 Validation accuracy: 1.96300e-01 Loss 3.45559e-02 Validation Loss 3.50248e-02 Time taken: 9.32 seconds 
Epoch: 74/200 Train accuracy: 2.18420e-01 Validation accuracy: 1.97300e-01 Loss 3.45555e-02 Validation Loss 3.50226e-02 Time taken: 9.25 seconds 
Epoch: 75/200 Train accuracy: 2.18200e-01 Validation accuracy: 1.99500e-01 Loss 3.45540e-02 Validation Loss 3.50113e-02 Time taken: 9.62 seconds 
Epoch: 76/200 Train accuracy: 2.19580e-01 Validation accuracy: 1.99000e-01 Loss 3.45501e-02 Validation Loss 3.50121e-02 Time taken: 9.45 seconds 
Epoch: 77/200 Train accuracy: 2.20020e-01 Validation accuracy: 1.98700e-01 Loss 3.45469e-02 Validation Loss 3.50105e-02 Time taken: 9.80 seconds 
Epoch: 78/200 Train accuracy: 2.19980e-01 Validation accuracy: 2.00000e-01 Loss 3.45442e-02 Validation Loss 3.50108e-02 Time taken: 9.19 seconds 
Epoch: 79/200 Train accuracy: 2.19980e-01 Validation accuracy: 2.00000e-01 Loss 3.45426e-02 Validation Loss 3.50074e-02 Time taken: 9.37 seconds 
Epoch: 80/200 Train accuracy: 2.20680e-01 Validation accuracy: 2.01900e-01 Loss 3.45392e-02 Validation Loss 3.50031e-02 Time taken: 9.94 seconds 
Epoch: 81/200 Train accuracy: 2.20980e-01 Validation accuracy: 1.99900e-01 Loss 3.45391e-02 Validation Loss 3.50067e-02 Time taken: 9.67 seconds 
Epoch: 82/200 Train accuracy: 2.20900e-01 Validation accuracy: 2.01100e-01 Loss 3.45357e-02 Validation Loss 3.50035e-02 Time taken: 9.39 seconds 
Epoch: 83/200 Train accuracy: 2.21080e-01 Validation accuracy: 2.01900e-01 Loss 3.45366e-02 Validation Loss 3.50008e-02 Time taken: 9.34 seconds 
Epoch: 84/200 Train accuracy: 2.21900e-01 Validation accuracy: 2.00900e-01 Loss 3.45321e-02 Validation Loss 3.49968e-02 Time taken: 9.56 seconds 
Epoch: 85/200 Train accuracy: 2.21220e-01 Validation accuracy: 2.02400e-01 Loss 3.45312e-02 Validation Loss 3.49985e-02 Time taken: 9.97 seconds 
Epoch: 86/200 Train accuracy: 2.22400e-01 Validation accuracy: 2.02900e-01 Loss 3.45266e-02 Validation Loss 3.49923e-02 Time taken: 9.06 seconds 
Epoch: 87/200 Train accuracy: 2.23120e-01 Validation accuracy: 2.03100e-01 Loss 3.45233e-02 Validation Loss 3.49940e-02 Time taken: 9.36 seconds 
Epoch: 88/200 Train accuracy: 2.23360e-01 Validation accuracy: 2.04300e-01 Loss 3.45194e-02 Validation Loss 3.49868e-02 Time taken: 9.62 seconds 
Epoch: 89/200 Train accuracy: 2.23180e-01 Validation accuracy: 2.03300e-01 Loss 3.45188e-02 Validation Loss 3.49898e-02 Time taken: 9.42 seconds 
Epoch: 90/200 Train accuracy: 2.23200e-01 Validation accuracy: 2.03100e-01 Loss 3.45176e-02 Validation Loss 3.49878e-02 Time taken: 9.66 seconds 
Epoch: 91/200 Train accuracy: 2.23940e-01 Validation accuracy: 2.04400e-01 Loss 3.45151e-02 Validation Loss 3.49827e-02 Time taken: 9.58 seconds 
Epoch: 92/200 Train accuracy: 2.23780e-01 Validation accuracy: 2.05000e-01 Loss 3.45128e-02 Validation Loss 3.49818e-02 Time taken: 9.87 seconds 
Epoch: 93/200 Train accuracy: 2.23700e-01 Validation accuracy: 2.04100e-01 Loss 3.45130e-02 Validation Loss 3.49840e-02 Time taken: 9.90 seconds 
Epoch: 94/200 Train accuracy: 2.24540e-01 Validation accuracy: 2.03500e-01 Loss 3.45102e-02 Validation Loss 3.49806e-02 Time taken: 9.81 seconds 
Epoch: 95/200 Train accuracy: 2.24340e-01 Validation accuracy: 2.07700e-01 Loss 3.45081e-02 Validation Loss 3.49728e-02 Time taken: 9.79 seconds 
Epoch: 96/200 Train accuracy: 2.24820e-01 Validation accuracy: 2.05500e-01 Loss 3.45068e-02 Validation Loss 3.49757e-02 Time taken: 9.34 seconds 
Epoch: 97/200 Train accuracy: 2.25080e-01 Validation accuracy: 2.06000e-01 Loss 3.45048e-02 Validation Loss 3.49736e-02 Time taken: 9.68 seconds 
Epoch: 98/200 Train accuracy: 2.25040e-01 Validation accuracy: 2.05300e-01 Loss 3.45013e-02 Validation Loss 3.49773e-02 Time taken: 9.81 seconds 
Epoch: 99/200 Train accuracy: 2.24980e-01 Validation accuracy: 2.05900e-01 Loss 3.45028e-02 Validation Loss 3.49702e-02 Time taken: 9.74 seconds 
Epoch: 100/200 Train accuracy: 2.25020e-01 Validation accuracy: 2.05700e-01 Loss 3.45001e-02 Validation Loss 3.49766e-02 Time taken: 9.69 seconds 
Epoch: 101/200 Train accuracy: 2.25640e-01 Validation accuracy: 2.05700e-01 Loss 3.44991e-02 Validation Loss 3.49714e-02 Time taken: 9.39 seconds 
Epoch: 102/200 Train accuracy: 2.26480e-01 Validation accuracy: 2.04900e-01 Loss 3.44975e-02 Validation Loss 3.49751e-02 Time taken: 9.78 seconds 
Epoch: 103/200 Train accuracy: 2.26140e-01 Validation accuracy: 2.05100e-01 Loss 3.44955e-02 Validation Loss 3.49747e-02 Time taken: 9.61 seconds 
Epoch: 104/200 Train accuracy: 2.26020e-01 Validation accuracy: 2.05100e-01 Loss 3.44949e-02 Validation Loss 3.49752e-02 Time taken: 10.12 seconds 
Epoch: 105/200 Train accuracy: 2.26640e-01 Validation accuracy: 2.07000e-01 Loss 3.44937e-02 Validation Loss 3.49665e-02 Time taken: 9.38 seconds 
Epoch: 106/200 Train accuracy: 2.26740e-01 Validation accuracy: 2.06800e-01 Loss 3.44910e-02 Validation Loss 3.49670e-02 Time taken: 9.63 seconds 
Epoch: 107/200 Train accuracy: 2.27440e-01 Validation accuracy: 2.08300e-01 Loss 3.44897e-02 Validation Loss 3.49712e-02 Time taken: 9.38 seconds 
Epoch: 108/200 Train accuracy: 2.27140e-01 Validation accuracy: 2.05900e-01 Loss 3.44897e-02 Validation Loss 3.49678e-02 Time taken: 9.81 seconds 
Epoch: 109/200 Train accuracy: 2.27160e-01 Validation accuracy: 2.06900e-01 Loss 3.44880e-02 Validation Loss 3.49609e-02 Time taken: 9.79 seconds 
Epoch: 110/200 Train accuracy: 2.27180e-01 Validation accuracy: 2.05500e-01 Loss 3.44864e-02 Validation Loss 3.49640e-02 Time taken: 10.04 seconds 
Epoch: 111/200 Train accuracy: 2.27500e-01 Validation accuracy: 2.06000e-01 Loss 3.44839e-02 Validation Loss 3.49642e-02 Time taken: 9.06 seconds 
Epoch: 112/200 Train accuracy: 2.27800e-01 Validation accuracy: 2.07000e-01 Loss 3.44847e-02 Validation Loss 3.49620e-02 Time taken: 9.23 seconds 
Epoch: 113/200 Train accuracy: 2.28560e-01 Validation accuracy: 2.07000e-01 Loss 3.44818e-02 Validation Loss 3.49582e-02 Time taken: 9.89 seconds 
Epoch: 114/200 Train accuracy: 2.28260e-01 Validation accuracy: 2.06700e-01 Loss 3.44818e-02 Validation Loss 3.49577e-02 Time taken: 9.77 seconds 
Epoch: 115/200 Train accuracy: 2.28580e-01 Validation accuracy: 2.07500e-01 Loss 3.44797e-02 Validation Loss 3.49604e-02 Time taken: 9.77 seconds 
Epoch: 116/200 Train accuracy: 2.28060e-01 Validation accuracy: 2.06200e-01 Loss 3.44791e-02 Validation Loss 3.49558e-02 Time taken: 9.55 seconds 
Epoch: 117/200 Train accuracy: 2.28260e-01 Validation accuracy: 2.08400e-01 Loss 3.44777e-02 Validation Loss 3.49602e-02 Time taken: 9.40 seconds 
Epoch: 118/200 Train accuracy: 2.28340e-01 Validation accuracy: 2.07000e-01 Loss 3.44766e-02 Validation Loss 3.49594e-02 Time taken: 9.74 seconds 
Epoch: 119/200 Train accuracy: 2.28780e-01 Validation accuracy: 2.06400e-01 Loss 3.44756e-02 Validation Loss 3.49599e-02 Time taken: 9.56 seconds 
Epoch: 120/200 Train accuracy: 2.28580e-01 Validation accuracy: 2.05400e-01 Loss 3.44740e-02 Validation Loss 3.49588e-02 Time taken: 9.92 seconds 
Epoch: 121/200 Train accuracy: 2.29560e-01 Validation accuracy: 2.07100e-01 Loss 3.44726e-02 Validation Loss 3.49572e-02 Time taken: 9.35 seconds 
Epoch: 122/200 Train accuracy: 2.29700e-01 Validation accuracy: 2.06900e-01 Loss 3.44717e-02 Validation Loss 3.49509e-02 Time taken: 9.58 seconds 
Epoch: 123/200 Train accuracy: 2.29260e-01 Validation accuracy: 2.08700e-01 Loss 3.44702e-02 Validation Loss 3.49517e-02 Time taken: 9.41 seconds 
Epoch: 124/200 Train accuracy: 2.29480e-01 Validation accuracy: 2.09900e-01 Loss 3.44695e-02 Validation Loss 3.49487e-02 Time taken: 8.86 seconds 
Epoch: 125/200 Train accuracy: 2.30060e-01 Validation accuracy: 2.09200e-01 Loss 3.44677e-02 Validation Loss 3.49470e-02 Time taken: 9.35 seconds 
Epoch: 126/200 Train accuracy: 2.30160e-01 Validation accuracy: 2.07800e-01 Loss 3.44671e-02 Validation Loss 3.49454e-02 Time taken: 9.23 seconds 
Epoch: 127/200 Train accuracy: 2.30400e-01 Validation accuracy: 2.09000e-01 Loss 3.44658e-02 Validation Loss 3.49525e-02 Time taken: 9.18 seconds 
Epoch: 128/200 Train accuracy: 2.30360e-01 Validation accuracy: 2.08700e-01 Loss 3.44632e-02 Validation Loss 3.49473e-02 Time taken: 9.70 seconds 
Epoch: 129/200 Train accuracy: 2.30280e-01 Validation accuracy: 2.08900e-01 Loss 3.44634e-02 Validation Loss 3.49421e-02 Time taken: 9.50 seconds 
Epoch: 130/200 Train accuracy: 2.30900e-01 Validation accuracy: 2.08600e-01 Loss 3.44620e-02 Validation Loss 3.49456e-02 Time taken: 9.39 seconds 
Epoch: 131/200 Train accuracy: 2.30660e-01 Validation accuracy: 2.10900e-01 Loss 3.44618e-02 Validation Loss 3.49423e-02 Time taken: 9.35 seconds 
Epoch: 132/200 Train accuracy: 2.30660e-01 Validation accuracy: 2.09000e-01 Loss 3.44611e-02 Validation Loss 3.49404e-02 Time taken: 9.45 seconds 
Epoch: 133/200 Train accuracy: 2.31440e-01 Validation accuracy: 2.08500e-01 Loss 3.44597e-02 Validation Loss 3.49419e-02 Time taken: 9.61 seconds 
Epoch: 134/200 Train accuracy: 2.31940e-01 Validation accuracy: 2.10500e-01 Loss 3.44573e-02 Validation Loss 3.49384e-02 Time taken: 9.93 seconds 
Epoch: 135/200 Train accuracy: 2.31740e-01 Validation accuracy: 2.10800e-01 Loss 3.44574e-02 Validation Loss 3.49404e-02 Time taken: 9.43 seconds 
Epoch: 136/200 Train accuracy: 2.31140e-01 Validation accuracy: 2.10900e-01 Loss 3.44566e-02 Validation Loss 3.49408e-02 Time taken: 9.30 seconds 
Epoch: 137/200 Train accuracy: 2.32000e-01 Validation accuracy: 2.10300e-01 Loss 3.44557e-02 Validation Loss 3.49351e-02 Time taken: 9.62 seconds 
Epoch: 138/200 Train accuracy: 2.31300e-01 Validation accuracy: 2.09200e-01 Loss 3.44554e-02 Validation Loss 3.49390e-02 Time taken: 9.81 seconds 
Epoch: 139/200 Train accuracy: 2.31860e-01 Validation accuracy: 2.09300e-01 Loss 3.44521e-02 Validation Loss 3.49409e-02 Time taken: 9.56 seconds 
Epoch: 140/200 Train accuracy: 2.32040e-01 Validation accuracy: 2.10900e-01 Loss 3.44520e-02 Validation Loss 3.49360e-02 Time taken: 9.68 seconds 
Epoch: 141/200 Train accuracy: 2.32800e-01 Validation accuracy: 2.09800e-01 Loss 3.44500e-02 Validation Loss 3.49416e-02 Time taken: 9.68 seconds 
Epoch: 142/200 Train accuracy: 2.32540e-01 Validation accuracy: 2.09500e-01 Loss 3.44494e-02 Validation Loss 3.49365e-02 Time taken: 9.16 seconds 
Epoch: 143/200 Train accuracy: 2.33180e-01 Validation accuracy: 2.09900e-01 Loss 3.44494e-02 Validation Loss 3.49368e-02 Time taken: 9.85 seconds 
Epoch: 144/200 Train accuracy: 2.32640e-01 Validation accuracy: 2.10700e-01 Loss 3.44492e-02 Validation Loss 3.49345e-02 Time taken: 9.65 seconds 
Epoch: 145/200 Train accuracy: 2.32620e-01 Validation accuracy: 2.10200e-01 Loss 3.44475e-02 Validation Loss 3.49368e-02 Time taken: 10.06 seconds 
Epoch: 146/200 Train accuracy: 2.33120e-01 Validation accuracy: 2.11600e-01 Loss 3.44473e-02 Validation Loss 3.49311e-02 Time taken: 9.63 seconds 
Epoch: 147/200 Train accuracy: 2.33320e-01 Validation accuracy: 2.10000e-01 Loss 3.44457e-02 Validation Loss 3.49395e-02 Time taken: 9.68 seconds 
Epoch: 148/200 Train accuracy: 2.33060e-01 Validation accuracy: 2.11000e-01 Loss 3.44451e-02 Validation Loss 3.49351e-02 Time taken: 9.33 seconds 
Epoch: 149/200 Train accuracy: 2.32440e-01 Validation accuracy: 2.10800e-01 Loss 3.44440e-02 Validation Loss 3.49326e-02 Time taken: 9.57 seconds 
Epoch: 150/200 Train accuracy: 2.32920e-01 Validation accuracy: 2.09200e-01 Loss 3.44426e-02 Validation Loss 3.49346e-02 Time taken: 9.06 seconds 
Epoch: 151/200 Train accuracy: 2.33400e-01 Validation accuracy: 2.09300e-01 Loss 3.44419e-02 Validation Loss 3.49336e-02 Time taken: 9.65 seconds 
Epoch: 152/200 Train accuracy: 2.34140e-01 Validation accuracy: 2.10300e-01 Loss 3.44415e-02 Validation Loss 3.49318e-02 Time taken: 9.58 seconds 
Epoch: 153/200 Train accuracy: 2.33780e-01 Validation accuracy: 2.10500e-01 Loss 3.44406e-02 Validation Loss 3.49322e-02 Time taken: 9.21 seconds 
Epoch: 154/200 Train accuracy: 2.33960e-01 Validation accuracy: 2.10600e-01 Loss 3.44401e-02 Validation Loss 3.49322e-02 Time taken: 9.30 seconds 
Epoch: 155/200 Train accuracy: 2.33520e-01 Validation accuracy: 2.10700e-01 Loss 3.44400e-02 Validation Loss 3.49284e-02 Time taken: 8.95 seconds 
Epoch: 156/200 Train accuracy: 2.34380e-01 Validation accuracy: 2.10100e-01 Loss 3.44383e-02 Validation Loss 3.49303e-02 Time taken: 9.26 seconds 
Epoch: 157/200 Train accuracy: 2.33880e-01 Validation accuracy: 2.11500e-01 Loss 3.44372e-02 Validation Loss 3.49296e-02 Time taken: 9.71 seconds 
Epoch: 158/200 Train accuracy: 2.34240e-01 Validation accuracy: 2.12600e-01 Loss 3.44375e-02 Validation Loss 3.49243e-02 Time taken: 9.60 seconds 
Epoch: 159/200 Train accuracy: 2.34220e-01 Validation accuracy: 2.12600e-01 Loss 3.44359e-02 Validation Loss 3.49252e-02 Time taken: 9.29 seconds 
Epoch: 160/200 Train accuracy: 2.34680e-01 Validation accuracy: 2.11200e-01 Loss 3.44341e-02 Validation Loss 3.49272e-02 Time taken: 9.78 seconds 
Epoch: 161/200 Train accuracy: 2.34920e-01 Validation accuracy: 2.11600e-01 Loss 3.44343e-02 Validation Loss 3.49266e-02 Time taken: 9.76 seconds 
Epoch: 162/200 Train accuracy: 2.35200e-01 Validation accuracy: 2.11400e-01 Loss 3.44326e-02 Validation Loss 3.49265e-02 Time taken: 9.45 seconds 
Epoch: 163/200 Train accuracy: 2.35020e-01 Validation accuracy: 2.12400e-01 Loss 3.44312e-02 Validation Loss 3.49219e-02 Time taken: 9.29 seconds 
Epoch: 164/200 Train accuracy: 2.35140e-01 Validation accuracy: 2.13300e-01 Loss 3.44307e-02 Validation Loss 3.49221e-02 Time taken: 9.81 seconds 
Epoch: 165/200 Train accuracy: 2.35920e-01 Validation accuracy: 2.14800e-01 Loss 3.44293e-02 Validation Loss 3.49202e-02 Time taken: 9.72 seconds 
Epoch: 166/200 Train accuracy: 2.35580e-01 Validation accuracy: 2.11600e-01 Loss 3.44297e-02 Validation Loss 3.49263e-02 Time taken: 9.60 seconds 
Epoch: 167/200 Train accuracy: 2.35560e-01 Validation accuracy: 2.11600e-01 Loss 3.44286e-02 Validation Loss 3.49213e-02 Time taken: 9.25 seconds 
Epoch: 168/200 Train accuracy: 2.35580e-01 Validation accuracy: 2.10900e-01 Loss 3.44262e-02 Validation Loss 3.49211e-02 Time taken: 9.76 seconds 
Epoch: 169/200 Train accuracy: 2.35640e-01 Validation accuracy: 2.13000e-01 Loss 3.44269e-02 Validation Loss 3.49179e-02 Time taken: 9.52 seconds 
Epoch: 170/200 Train accuracy: 2.36700e-01 Validation accuracy: 2.12700e-01 Loss 3.44257e-02 Validation Loss 3.49189e-02 Time taken: 9.51 seconds 
Epoch: 171/200 Train accuracy: 2.36160e-01 Validation accuracy: 2.12800e-01 Loss 3.44259e-02 Validation Loss 3.49153e-02 Time taken: 7.86 seconds 
Epoch: 172/200 Train accuracy: 2.35920e-01 Validation accuracy: 2.14300e-01 Loss 3.44236e-02 Validation Loss 3.49132e-02 Time taken: 7.28 seconds 
Epoch: 173/200 Train accuracy: 2.35880e-01 Validation accuracy: 2.12400e-01 Loss 3.44227e-02 Validation Loss 3.49213e-02 Time taken: 7.52 seconds 
Epoch: 174/200 Train accuracy: 2.36740e-01 Validation accuracy: 2.11900e-01 Loss 3.44233e-02 Validation Loss 3.49185e-02 Time taken: 7.54 seconds 
Epoch: 175/200 Train accuracy: 2.36280e-01 Validation accuracy: 2.12400e-01 Loss 3.44227e-02 Validation Loss 3.49132e-02 Time taken: 7.52 seconds 
Epoch: 176/200 Train accuracy: 2.36740e-01 Validation accuracy: 2.13300e-01 Loss 3.44211e-02 Validation Loss 3.49137e-02 Time taken: 7.62 seconds 
Epoch: 177/200 Train accuracy: 2.36040e-01 Validation accuracy: 2.12000e-01 Loss 3.44212e-02 Validation Loss 3.49156e-02 Time taken: 7.54 seconds 
Epoch: 178/200 Train accuracy: 2.37060e-01 Validation accuracy: 2.11600e-01 Loss 3.44193e-02 Validation Loss 3.49191e-02 Time taken: 7.52 seconds 
Epoch: 179/200 Train accuracy: 2.37020e-01 Validation accuracy: 2.13800e-01 Loss 3.44194e-02 Validation Loss 3.49128e-02 Time taken: 7.58 seconds 
Epoch: 180/200 Train accuracy: 2.36860e-01 Validation accuracy: 2.14700e-01 Loss 3.44198e-02 Validation Loss 3.49121e-02 Time taken: 7.61 seconds 
Epoch: 181/200 Train accuracy: 2.36660e-01 Validation accuracy: 2.12600e-01 Loss 3.44169e-02 Validation Loss 3.49135e-02 Time taken: 7.57 seconds 
Epoch: 182/200 Train accuracy: 2.36700e-01 Validation accuracy: 2.13800e-01 Loss 3.44167e-02 Validation Loss 3.49109e-02 Time taken: 7.54 seconds 
Epoch: 183/200 Train accuracy: 2.37280e-01 Validation accuracy: 2.12600e-01 Loss 3.44165e-02 Validation Loss 3.49164e-02 Time taken: 7.52 seconds 
Epoch: 184/200 Train accuracy: 2.37260e-01 Validation accuracy: 2.13500e-01 Loss 3.44164e-02 Validation Loss 3.49122e-02 Time taken: 7.62 seconds 
Epoch: 185/200 Train accuracy: 2.38240e-01 Validation accuracy: 2.13500e-01 Loss 3.44148e-02 Validation Loss 3.49105e-02 Time taken: 7.49 seconds 
Epoch: 186/200 Train accuracy: 2.37840e-01 Validation accuracy: 2.14000e-01 Loss 3.44102e-02 Validation Loss 3.49024e-02 Time taken: 7.52 seconds 
Epoch: 187/200 Train accuracy: 2.38440e-01 Validation accuracy: 2.15400e-01 Loss 3.44099e-02 Validation Loss 3.49037e-02 Time taken: 7.54 seconds 
Epoch: 188/200 Train accuracy: 2.39080e-01 Validation accuracy: 2.14300e-01 Loss 3.44081e-02 Validation Loss 3.49027e-02 Time taken: 7.53 seconds 
Epoch: 189/200 Train accuracy: 2.38440e-01 Validation accuracy: 2.14900e-01 Loss 3.44066e-02 Validation Loss 3.48975e-02 Time taken: 7.58 seconds 
Epoch: 190/200 Train accuracy: 2.38220e-01 Validation accuracy: 2.14400e-01 Loss 3.44060e-02 Validation Loss 3.48989e-02 Time taken: 7.61 seconds 
Epoch: 191/200 Train accuracy: 2.39580e-01 Validation accuracy: 2.14800e-01 Loss 3.44028e-02 Validation Loss 3.49019e-02 Time taken: 8.31 seconds 
Epoch: 192/200 Train accuracy: 2.39560e-01 Validation accuracy: 2.15000e-01 Loss 3.44025e-02 Validation Loss 3.48996e-02 Time taken: 7.64 seconds 
Epoch: 193/200 Train accuracy: 2.38920e-01 Validation accuracy: 2.16000e-01 Loss 3.44038e-02 Validation Loss 3.48963e-02 Time taken: 7.48 seconds 
Epoch: 194/200 Train accuracy: 2.40060e-01 Validation accuracy: 2.14900e-01 Loss 3.43998e-02 Validation Loss 3.49001e-02 Time taken: 7.55 seconds 
Epoch: 195/200 Train accuracy: 2.40360e-01 Validation accuracy: 2.15300e-01 Loss 3.43989e-02 Validation Loss 3.48960e-02 Time taken: 8.72 seconds 
Epoch: 196/200 Train accuracy: 2.39780e-01 Validation accuracy: 2.15200e-01 Loss 3.43986e-02 Validation Loss 3.48953e-02 Time taken: 9.52 seconds 
Epoch: 197/200 Train accuracy: 2.40300e-01 Validation accuracy: 2.16000e-01 Loss 3.43978e-02 Validation Loss 3.48958e-02 Time taken: 9.32 seconds 
Epoch: 198/200 Train accuracy: 2.40420e-01 Validation accuracy: 2.16000e-01 Loss 3.43950e-02 Validation Loss 3.48953e-02 Time taken: 9.43 seconds 
Epoch: 199/200 Train accuracy: 2.40780e-01 Validation accuracy: 2.15300e-01 Loss 3.43931e-02 Validation Loss 3.48979e-02 Time taken: 9.47 seconds 
Epoch: 200/200 Train accuracy: 2.41700e-01 Validation accuracy: 2.15800e-01 Loss 3.43921e-02 Validation Loss 3.48967e-02 Time taken: 9.90 seconds 
Total time taken 0:31:02.790844
Cleaning up intermediate feature (.pt) files
Done


working on file logs_STL/stl-l2-seed0/jepa-stl-l2-seed0-ep200.pth.tar ...
Directory logs_STL/stl-l2-seed0/classifiers for saving the classifiers is now present
VisionTransformer(
  (patch_embed): PatchEmbed(
    (proj): Conv2d(3, 768, kernel_size=(15, 15), stride=(15, 15))
  )
  (blocks): ModuleList(
    (0-11): 12 x Block(
      (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (attn): Attention(
        (qkv): Linear(in_features=768, out_features=2304, bias=True)
        (attn_drop): Dropout(p=0.0, inplace=False)
        (proj): Linear(in_features=768, out_features=768, bias=True)
        (proj_drop): Dropout(p=0.0, inplace=False)
      )
      (drop_path): Identity()
      (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (mlp): MLP(
        (fc1): Linear(in_features=768, out_features=3072, bias=True)
        (act): GELU(approximate='none')
        (fc2): Linear(in_features=3072, out_features=768, bias=True)
        (drop): Dropout(p=0.0, inplace=False)
      )
    )
  )
  (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
)
Extracting features and saving them in memory..
Extracting features...
Done extracting features...
 Creating datasets
Created datasets...
 Creating data loaders
Done with data loaders
Commencing training
Epoch: 1/200 Train accuracy: 8.02400e-02 Validation accuracy: 1.23600e-01 Loss 3.56203e-02 Validation Loss 3.57075e-02 Time taken: 9.67 seconds 
Epoch: 2/200 Train accuracy: 1.26460e-01 Validation accuracy: 1.38100e-01 Loss 3.53003e-02 Validation Loss 3.55694e-02 Time taken: 9.23 seconds 
Epoch: 3/200 Train accuracy: 1.38600e-01 Validation accuracy: 1.50100e-01 Loss 3.51976e-02 Validation Loss 3.54774e-02 Time taken: 9.42 seconds 
Epoch: 4/200 Train accuracy: 1.48740e-01 Validation accuracy: 1.55900e-01 Loss 3.51214e-02 Validation Loss 3.54196e-02 Time taken: 9.55 seconds 
Epoch: 5/200 Train accuracy: 1.56520e-01 Validation accuracy: 1.58900e-01 Loss 3.50616e-02 Validation Loss 3.53858e-02 Time taken: 9.75 seconds 
Epoch: 6/200 Train accuracy: 1.60720e-01 Validation accuracy: 1.63400e-01 Loss 3.50207e-02 Validation Loss 3.53493e-02 Time taken: 9.67 seconds 
Epoch: 7/200 Train accuracy: 1.63260e-01 Validation accuracy: 1.66000e-01 Loss 3.49887e-02 Validation Loss 3.53255e-02 Time taken: 9.57 seconds 
Epoch: 8/200 Train accuracy: 1.68160e-01 Validation accuracy: 1.71200e-01 Loss 3.49567e-02 Validation Loss 3.52913e-02 Time taken: 9.72 seconds 
Epoch: 9/200 Train accuracy: 1.72700e-01 Validation accuracy: 1.73500e-01 Loss 3.49225e-02 Validation Loss 3.52675e-02 Time taken: 9.58 seconds 
Epoch: 10/200 Train accuracy: 1.75800e-01 Validation accuracy: 1.74000e-01 Loss 3.48965e-02 Validation Loss 3.52503e-02 Time taken: 9.54 seconds 
Epoch: 11/200 Train accuracy: 1.78460e-01 Validation accuracy: 1.75500e-01 Loss 3.48746e-02 Validation Loss 3.52369e-02 Time taken: 9.78 seconds 
Epoch: 12/200 Train accuracy: 1.80260e-01 Validation accuracy: 1.77700e-01 Loss 3.48582e-02 Validation Loss 3.52212e-02 Time taken: 9.75 seconds 
Epoch: 13/200 Train accuracy: 1.81200e-01 Validation accuracy: 1.76200e-01 Loss 3.48446e-02 Validation Loss 3.52139e-02 Time taken: 9.33 seconds 
Epoch: 14/200 Train accuracy: 1.83400e-01 Validation accuracy: 1.78400e-01 Loss 3.48303e-02 Validation Loss 3.52030e-02 Time taken: 9.84 seconds 
Epoch: 15/200 Train accuracy: 1.84400e-01 Validation accuracy: 1.80000e-01 Loss 3.48186e-02 Validation Loss 3.51938e-02 Time taken: 9.68 seconds 
Epoch: 16/200 Train accuracy: 1.85920e-01 Validation accuracy: 1.80600e-01 Loss 3.48080e-02 Validation Loss 3.51823e-02 Time taken: 9.37 seconds 
Epoch: 17/200 Train accuracy: 1.87360e-01 Validation accuracy: 1.80600e-01 Loss 3.47952e-02 Validation Loss 3.51791e-02 Time taken: 9.43 seconds 
Epoch: 18/200 Train accuracy: 1.89240e-01 Validation accuracy: 1.81900e-01 Loss 3.47839e-02 Validation Loss 3.51595e-02 Time taken: 9.68 seconds 
Epoch: 19/200 Train accuracy: 1.90180e-01 Validation accuracy: 1.83100e-01 Loss 3.47711e-02 Validation Loss 3.51541e-02 Time taken: 9.78 seconds 
Epoch: 20/200 Train accuracy: 1.91700e-01 Validation accuracy: 1.84100e-01 Loss 3.47602e-02 Validation Loss 3.51457e-02 Time taken: 9.47 seconds 
Epoch: 21/200 Train accuracy: 1.92180e-01 Validation accuracy: 1.84900e-01 Loss 3.47515e-02 Validation Loss 3.51371e-02 Time taken: 9.14 seconds 
Epoch: 22/200 Train accuracy: 1.94940e-01 Validation accuracy: 1.86900e-01 Loss 3.47383e-02 Validation Loss 3.51243e-02 Time taken: 9.18 seconds 
Epoch: 23/200 Train accuracy: 1.97020e-01 Validation accuracy: 1.88900e-01 Loss 3.47207e-02 Validation Loss 3.51124e-02 Time taken: 9.75 seconds 
Epoch: 24/200 Train accuracy: 1.98340e-01 Validation accuracy: 1.89700e-01 Loss 3.47079e-02 Validation Loss 3.51007e-02 Time taken: 9.62 seconds 
Epoch: 25/200 Train accuracy: 2.01060e-01 Validation accuracy: 1.91000e-01 Loss 3.46943e-02 Validation Loss 3.50986e-02 Time taken: 9.72 seconds 
Epoch: 26/200 Train accuracy: 2.02400e-01 Validation accuracy: 1.91500e-01 Loss 3.46808e-02 Validation Loss 3.50893e-02 Time taken: 9.76 seconds 
Epoch: 27/200 Train accuracy: 2.03840e-01 Validation accuracy: 1.92700e-01 Loss 3.46717e-02 Validation Loss 3.50781e-02 Time taken: 9.81 seconds 
Epoch: 28/200 Train accuracy: 2.04860e-01 Validation accuracy: 1.93200e-01 Loss 3.46635e-02 Validation Loss 3.50719e-02 Time taken: 9.63 seconds 
Epoch: 29/200 Train accuracy: 2.05760e-01 Validation accuracy: 1.94100e-01 Loss 3.46560e-02 Validation Loss 3.50707e-02 Time taken: 9.72 seconds 
Epoch: 30/200 Train accuracy: 2.06580e-01 Validation accuracy: 1.94800e-01 Loss 3.46501e-02 Validation Loss 3.50606e-02 Time taken: 9.68 seconds 
Epoch: 31/200 Train accuracy: 2.06660e-01 Validation accuracy: 1.95000e-01 Loss 3.46444e-02 Validation Loss 3.50568e-02 Time taken: 9.80 seconds 
Epoch: 32/200 Train accuracy: 2.08240e-01 Validation accuracy: 1.95800e-01 Loss 3.46344e-02 Validation Loss 3.50505e-02 Time taken: 9.33 seconds 
Epoch: 33/200 Train accuracy: 2.10060e-01 Validation accuracy: 1.97600e-01 Loss 3.46243e-02 Validation Loss 3.50408e-02 Time taken: 9.84 seconds 
Epoch: 34/200 Train accuracy: 2.10940e-01 Validation accuracy: 1.97900e-01 Loss 3.46163e-02 Validation Loss 3.50363e-02 Time taken: 9.76 seconds 
Epoch: 35/200 Train accuracy: 2.12100e-01 Validation accuracy: 1.99600e-01 Loss 3.46088e-02 Validation Loss 3.50306e-02 Time taken: 9.57 seconds 
Epoch: 36/200 Train accuracy: 2.12980e-01 Validation accuracy: 1.99900e-01 Loss 3.46025e-02 Validation Loss 3.50250e-02 Time taken: 9.67 seconds 
Epoch: 37/200 Train accuracy: 2.13840e-01 Validation accuracy: 1.99000e-01 Loss 3.45964e-02 Validation Loss 3.50238e-02 Time taken: 9.22 seconds 
Epoch: 38/200 Train accuracy: 2.14660e-01 Validation accuracy: 2.00800e-01 Loss 3.45916e-02 Validation Loss 3.50143e-02 Time taken: 9.35 seconds 
Epoch: 39/200 Train accuracy: 2.15880e-01 Validation accuracy: 2.01500e-01 Loss 3.45847e-02 Validation Loss 3.50125e-02 Time taken: 9.39 seconds 
Epoch: 40/200 Train accuracy: 2.15680e-01 Validation accuracy: 2.02200e-01 Loss 3.45791e-02 Validation Loss 3.50052e-02 Time taken: 9.81 seconds 
Epoch: 41/200 Train accuracy: 2.18540e-01 Validation accuracy: 2.01900e-01 Loss 3.45672e-02 Validation Loss 3.50034e-02 Time taken: 10.09 seconds 
Epoch: 42/200 Train accuracy: 2.19920e-01 Validation accuracy: 2.02800e-01 Loss 3.45586e-02 Validation Loss 3.49930e-02 Time taken: 9.45 seconds 
Epoch: 43/200 Train accuracy: 2.21180e-01 Validation accuracy: 2.03200e-01 Loss 3.45507e-02 Validation Loss 3.49895e-02 Time taken: 9.35 seconds 
Epoch: 44/200 Train accuracy: 2.21620e-01 Validation accuracy: 2.03500e-01 Loss 3.45454e-02 Validation Loss 3.49814e-02 Time taken: 9.64 seconds 
Epoch: 45/200 Train accuracy: 2.22560e-01 Validation accuracy: 2.05200e-01 Loss 3.45398e-02 Validation Loss 3.49778e-02 Time taken: 9.68 seconds 
Epoch: 46/200 Train accuracy: 2.22240e-01 Validation accuracy: 2.04900e-01 Loss 3.45351e-02 Validation Loss 3.49743e-02 Time taken: 9.81 seconds 
Epoch: 47/200 Train accuracy: 2.22960e-01 Validation accuracy: 2.04200e-01 Loss 3.45316e-02 Validation Loss 3.49773e-02 Time taken: 9.68 seconds 
Epoch: 48/200 Train accuracy: 2.23840e-01 Validation accuracy: 2.05000e-01 Loss 3.45267e-02 Validation Loss 3.49737e-02 Time taken: 9.51 seconds 
Epoch: 49/200 Train accuracy: 2.24240e-01 Validation accuracy: 2.05100e-01 Loss 3.45209e-02 Validation Loss 3.49712e-02 Time taken: 9.08 seconds 
Epoch: 50/200 Train accuracy: 2.24480e-01 Validation accuracy: 2.07100e-01 Loss 3.45186e-02 Validation Loss 3.49618e-02 Time taken: 9.42 seconds 
Epoch: 51/200 Train accuracy: 2.25480e-01 Validation accuracy: 2.08000e-01 Loss 3.45132e-02 Validation Loss 3.49597e-02 Time taken: 9.90 seconds 
Epoch: 52/200 Train accuracy: 2.25900e-01 Validation accuracy: 2.05900e-01 Loss 3.45103e-02 Validation Loss 3.49586e-02 Time taken: 9.59 seconds 
Epoch: 53/200 Train accuracy: 2.26620e-01 Validation accuracy: 2.06200e-01 Loss 3.45044e-02 Validation Loss 3.49612e-02 Time taken: 9.37 seconds 
Epoch: 54/200 Train accuracy: 2.26280e-01 Validation accuracy: 2.07400e-01 Loss 3.45013e-02 Validation Loss 3.49508e-02 Time taken: 9.57 seconds 
Epoch: 55/200 Train accuracy: 2.27280e-01 Validation accuracy: 2.08300e-01 Loss 3.44969e-02 Validation Loss 3.49471e-02 Time taken: 9.27 seconds 
Epoch: 56/200 Train accuracy: 2.28240e-01 Validation accuracy: 2.09800e-01 Loss 3.44919e-02 Validation Loss 3.49429e-02 Time taken: 10.20 seconds 
Epoch: 57/200 Train accuracy: 2.28400e-01 Validation accuracy: 2.07900e-01 Loss 3.44873e-02 Validation Loss 3.49478e-02 Time taken: 9.48 seconds 
Epoch: 58/200 Train accuracy: 2.28800e-01 Validation accuracy: 2.09300e-01 Loss 3.44829e-02 Validation Loss 3.49375e-02 Time taken: 9.83 seconds 
Epoch: 59/200 Train accuracy: 2.28820e-01 Validation accuracy: 2.08800e-01 Loss 3.44813e-02 Validation Loss 3.49348e-02 Time taken: 9.56 seconds 
Epoch: 60/200 Train accuracy: 2.29480e-01 Validation accuracy: 2.11100e-01 Loss 3.44777e-02 Validation Loss 3.49330e-02 Time taken: 9.62 seconds 
Epoch: 61/200 Train accuracy: 2.30080e-01 Validation accuracy: 2.09000e-01 Loss 3.44738e-02 Validation Loss 3.49356e-02 Time taken: 9.27 seconds 
Epoch: 62/200 Train accuracy: 2.30440e-01 Validation accuracy: 2.10100e-01 Loss 3.44710e-02 Validation Loss 3.49289e-02 Time taken: 9.38 seconds 
Epoch: 63/200 Train accuracy: 2.30240e-01 Validation accuracy: 2.11000e-01 Loss 3.44663e-02 Validation Loss 3.49230e-02 Time taken: 9.30 seconds 
Epoch: 64/200 Train accuracy: 2.31460e-01 Validation accuracy: 2.10600e-01 Loss 3.44636e-02 Validation Loss 3.49315e-02 Time taken: 9.93 seconds 
Epoch: 65/200 Train accuracy: 2.31320e-01 Validation accuracy: 2.11000e-01 Loss 3.44615e-02 Validation Loss 3.49194e-02 Time taken: 10.05 seconds 
Epoch: 66/200 Train accuracy: 2.32420e-01 Validation accuracy: 2.10200e-01 Loss 3.44578e-02 Validation Loss 3.49238e-02 Time taken: 9.90 seconds 
Epoch: 67/200 Train accuracy: 2.32120e-01 Validation accuracy: 2.13100e-01 Loss 3.44547e-02 Validation Loss 3.49139e-02 Time taken: 9.31 seconds 
Epoch: 68/200 Train accuracy: 2.31780e-01 Validation accuracy: 2.14100e-01 Loss 3.44530e-02 Validation Loss 3.49139e-02 Time taken: 9.55 seconds 
Epoch: 69/200 Train accuracy: 2.32460e-01 Validation accuracy: 2.12000e-01 Loss 3.44514e-02 Validation Loss 3.49148e-02 Time taken: 9.82 seconds 
Epoch: 70/200 Train accuracy: 2.33100e-01 Validation accuracy: 2.13400e-01 Loss 3.44467e-02 Validation Loss 3.49132e-02 Time taken: 9.63 seconds 
Epoch: 71/200 Train accuracy: 2.33980e-01 Validation accuracy: 2.13400e-01 Loss 3.44452e-02 Validation Loss 3.49094e-02 Time taken: 9.29 seconds 
Epoch: 72/200 Train accuracy: 2.33700e-01 Validation accuracy: 2.13800e-01 Loss 3.44426e-02 Validation Loss 3.49064e-02 Time taken: 9.69 seconds 
Epoch: 73/200 Train accuracy: 2.34760e-01 Validation accuracy: 2.14300e-01 Loss 3.44386e-02 Validation Loss 3.49044e-02 Time taken: 9.74 seconds 
Epoch: 74/200 Train accuracy: 2.34920e-01 Validation accuracy: 2.13300e-01 Loss 3.44370e-02 Validation Loss 3.48998e-02 Time taken: 9.46 seconds 
Epoch: 75/200 Train accuracy: 2.34400e-01 Validation accuracy: 2.12700e-01 Loss 3.44357e-02 Validation Loss 3.49007e-02 Time taken: 9.57 seconds 
Epoch: 76/200 Train accuracy: 2.35020e-01 Validation accuracy: 2.13500e-01 Loss 3.44313e-02 Validation Loss 3.48986e-02 Time taken: 9.50 seconds 
Epoch: 77/200 Train accuracy: 2.35160e-01 Validation accuracy: 2.13800e-01 Loss 3.44299e-02 Validation Loss 3.48970e-02 Time taken: 9.49 seconds 
Epoch: 78/200 Train accuracy: 2.36140e-01 Validation accuracy: 2.14800e-01 Loss 3.44266e-02 Validation Loss 3.48950e-02 Time taken: 9.66 seconds 
Epoch: 79/200 Train accuracy: 2.36260e-01 Validation accuracy: 2.15600e-01 Loss 3.44257e-02 Validation Loss 3.48904e-02 Time taken: 9.66 seconds 
Epoch: 80/200 Train accuracy: 2.36420e-01 Validation accuracy: 2.16400e-01 Loss 3.44243e-02 Validation Loss 3.48872e-02 Time taken: 9.60 seconds 
Epoch: 81/200 Train accuracy: 2.37460e-01 Validation accuracy: 2.13800e-01 Loss 3.44208e-02 Validation Loss 3.48951e-02 Time taken: 9.76 seconds 
Epoch: 82/200 Train accuracy: 2.37320e-01 Validation accuracy: 2.15900e-01 Loss 3.44191e-02 Validation Loss 3.48871e-02 Time taken: 10.11 seconds 
Epoch: 83/200 Train accuracy: 2.37220e-01 Validation accuracy: 2.16500e-01 Loss 3.44168e-02 Validation Loss 3.48817e-02 Time taken: 9.86 seconds 
Epoch: 84/200 Train accuracy: 2.37600e-01 Validation accuracy: 2.15200e-01 Loss 3.44141e-02 Validation Loss 3.48896e-02 Time taken: 9.48 seconds 
Epoch: 85/200 Train accuracy: 2.38260e-01 Validation accuracy: 2.15400e-01 Loss 3.44133e-02 Validation Loss 3.48862e-02 Time taken: 9.50 seconds 
Epoch: 86/200 Train accuracy: 2.37440e-01 Validation accuracy: 2.16200e-01 Loss 3.44114e-02 Validation Loss 3.48822e-02 Time taken: 9.05 seconds 
Epoch: 87/200 Train accuracy: 2.38200e-01 Validation accuracy: 2.17100e-01 Loss 3.44089e-02 Validation Loss 3.48798e-02 Time taken: 9.44 seconds 
Epoch: 88/200 Train accuracy: 2.38260e-01 Validation accuracy: 2.16700e-01 Loss 3.44083e-02 Validation Loss 3.48807e-02 Time taken: 9.89 seconds 
Epoch: 89/200 Train accuracy: 2.39360e-01 Validation accuracy: 2.17400e-01 Loss 3.44049e-02 Validation Loss 3.48755e-02 Time taken: 10.19 seconds 
Epoch: 90/200 Train accuracy: 2.38580e-01 Validation accuracy: 2.16300e-01 Loss 3.44043e-02 Validation Loss 3.48810e-02 Time taken: 10.14 seconds 
Epoch: 91/200 Train accuracy: 2.39740e-01 Validation accuracy: 2.17900e-01 Loss 3.44015e-02 Validation Loss 3.48743e-02 Time taken: 10.04 seconds 
Epoch: 92/200 Train accuracy: 2.39780e-01 Validation accuracy: 2.17500e-01 Loss 3.44005e-02 Validation Loss 3.48753e-02 Time taken: 9.42 seconds 
Epoch: 93/200 Train accuracy: 2.39160e-01 Validation accuracy: 2.17800e-01 Loss 3.43974e-02 Validation Loss 3.48713e-02 Time taken: 8.84 seconds 
Epoch: 94/200 Train accuracy: 2.40480e-01 Validation accuracy: 2.19700e-01 Loss 3.43968e-02 Validation Loss 3.48660e-02 Time taken: 9.45 seconds 
Epoch: 95/200 Train accuracy: 2.40560e-01 Validation accuracy: 2.17900e-01 Loss 3.43948e-02 Validation Loss 3.48708e-02 Time taken: 9.37 seconds 
Epoch: 96/200 Train accuracy: 2.40120e-01 Validation accuracy: 2.20100e-01 Loss 3.43939e-02 Validation Loss 3.48700e-02 Time taken: 10.01 seconds 
Epoch: 97/200 Train accuracy: 2.40700e-01 Validation accuracy: 2.17400e-01 Loss 3.43918e-02 Validation Loss 3.48752e-02 Time taken: 9.69 seconds 
Epoch: 98/200 Train accuracy: 2.39580e-01 Validation accuracy: 2.19100e-01 Loss 3.43917e-02 Validation Loss 3.48644e-02 Time taken: 9.32 seconds 
Epoch: 99/200 Train accuracy: 2.41240e-01 Validation accuracy: 2.18500e-01 Loss 3.43895e-02 Validation Loss 3.48652e-02 Time taken: 9.98 seconds 
Epoch: 100/200 Train accuracy: 2.41420e-01 Validation accuracy: 2.16100e-01 Loss 3.43877e-02 Validation Loss 3.48743e-02 Time taken: 9.52 seconds 
Epoch: 101/200 Train accuracy: 2.41240e-01 Validation accuracy: 2.18500e-01 Loss 3.43872e-02 Validation Loss 3.48642e-02 Time taken: 9.60 seconds 
Epoch: 102/200 Train accuracy: 2.41160e-01 Validation accuracy: 2.17900e-01 Loss 3.43846e-02 Validation Loss 3.48649e-02 Time taken: 9.57 seconds 
Epoch: 103/200 Train accuracy: 2.42140e-01 Validation accuracy: 2.21000e-01 Loss 3.43825e-02 Validation Loss 3.48488e-02 Time taken: 9.83 seconds 
Epoch: 104/200 Train accuracy: 2.45440e-01 Validation accuracy: 2.22300e-01 Loss 3.43678e-02 Validation Loss 3.48406e-02 Time taken: 9.65 seconds 
Epoch: 105/200 Train accuracy: 2.45020e-01 Validation accuracy: 2.21300e-01 Loss 3.43631e-02 Validation Loss 3.48380e-02 Time taken: 9.46 seconds 
Epoch: 106/200 Train accuracy: 2.46220e-01 Validation accuracy: 2.23700e-01 Loss 3.43572e-02 Validation Loss 3.48336e-02 Time taken: 9.63 seconds 
Epoch: 107/200 Train accuracy: 2.45860e-01 Validation accuracy: 2.21600e-01 Loss 3.43567e-02 Validation Loss 3.48395e-02 Time taken: 9.65 seconds 
Epoch: 108/200 Train accuracy: 2.46760e-01 Validation accuracy: 2.21500e-01 Loss 3.43547e-02 Validation Loss 3.48416e-02 Time taken: 9.16 seconds 
Epoch: 109/200 Train accuracy: 2.47120e-01 Validation accuracy: 2.22700e-01 Loss 3.43532e-02 Validation Loss 3.48356e-02 Time taken: 9.58 seconds 
Epoch: 110/200 Train accuracy: 2.46060e-01 Validation accuracy: 2.24700e-01 Loss 3.43511e-02 Validation Loss 3.48298e-02 Time taken: 9.33 seconds 
Epoch: 111/200 Train accuracy: 2.46500e-01 Validation accuracy: 2.21700e-01 Loss 3.43488e-02 Validation Loss 3.48314e-02 Time taken: 9.45 seconds 
Epoch: 112/200 Train accuracy: 2.47640e-01 Validation accuracy: 2.22900e-01 Loss 3.43469e-02 Validation Loss 3.48367e-02 Time taken: 9.58 seconds 
Epoch: 113/200 Train accuracy: 2.47060e-01 Validation accuracy: 2.23500e-01 Loss 3.43470e-02 Validation Loss 3.48283e-02 Time taken: 9.42 seconds 
Epoch: 114/200 Train accuracy: 2.47480e-01 Validation accuracy: 2.22700e-01 Loss 3.43421e-02 Validation Loss 3.48351e-02 Time taken: 9.65 seconds 
Epoch: 115/200 Train accuracy: 2.48260e-01 Validation accuracy: 2.23500e-01 Loss 3.43403e-02 Validation Loss 3.48269e-02 Time taken: 9.76 seconds 
Epoch: 116/200 Train accuracy: 2.48400e-01 Validation accuracy: 2.25400e-01 Loss 3.43363e-02 Validation Loss 3.48194e-02 Time taken: 9.18 seconds 
Epoch: 117/200 Train accuracy: 2.48980e-01 Validation accuracy: 2.24000e-01 Loss 3.43347e-02 Validation Loss 3.48213e-02 Time taken: 9.07 seconds 
Epoch: 118/200 Train accuracy: 2.49600e-01 Validation accuracy: 2.25900e-01 Loss 3.43316e-02 Validation Loss 3.48144e-02 Time taken: 9.65 seconds 
Epoch: 119/200 Train accuracy: 2.49400e-01 Validation accuracy: 2.25500e-01 Loss 3.43300e-02 Validation Loss 3.48139e-02 Time taken: 9.49 seconds 
Epoch: 120/200 Train accuracy: 2.49960e-01 Validation accuracy: 2.25200e-01 Loss 3.43290e-02 Validation Loss 3.48096e-02 Time taken: 9.57 seconds 
Epoch: 121/200 Train accuracy: 2.50100e-01 Validation accuracy: 2.24400e-01 Loss 3.43266e-02 Validation Loss 3.48130e-02 Time taken: 9.27 seconds 
Epoch: 122/200 Train accuracy: 2.50380e-01 Validation accuracy: 2.28900e-01 Loss 3.43253e-02 Validation Loss 3.48038e-02 Time taken: 9.43 seconds 
Epoch: 123/200 Train accuracy: 2.49940e-01 Validation accuracy: 2.25900e-01 Loss 3.43240e-02 Validation Loss 3.48060e-02 Time taken: 9.13 seconds 
Epoch: 124/200 Train accuracy: 2.50900e-01 Validation accuracy: 2.26800e-01 Loss 3.43224e-02 Validation Loss 3.48060e-02 Time taken: 9.63 seconds 
Epoch: 125/200 Train accuracy: 2.51280e-01 Validation accuracy: 2.28000e-01 Loss 3.43201e-02 Validation Loss 3.48053e-02 Time taken: 9.47 seconds 
Epoch: 126/200 Train accuracy: 2.50800e-01 Validation accuracy: 2.28100e-01 Loss 3.43193e-02 Validation Loss 3.48039e-02 Time taken: 9.59 seconds 
Epoch: 127/200 Train accuracy: 2.51380e-01 Validation accuracy: 2.28800e-01 Loss 3.43174e-02 Validation Loss 3.48016e-02 Time taken: 9.52 seconds 
Epoch: 128/200 Train accuracy: 2.51400e-01 Validation accuracy: 2.29300e-01 Loss 3.43172e-02 Validation Loss 3.47975e-02 Time taken: 9.69 seconds 
Epoch: 129/200 Train accuracy: 2.51260e-01 Validation accuracy: 2.27100e-01 Loss 3.43152e-02 Validation Loss 3.48004e-02 Time taken: 9.84 seconds 
Epoch: 130/200 Train accuracy: 2.51500e-01 Validation accuracy: 2.27300e-01 Loss 3.43135e-02 Validation Loss 3.47998e-02 Time taken: 9.36 seconds 
Epoch: 131/200 Train accuracy: 2.52020e-01 Validation accuracy: 2.28300e-01 Loss 3.43132e-02 Validation Loss 3.48018e-02 Time taken: 9.94 seconds 
Epoch: 132/200 Train accuracy: 2.51520e-01 Validation accuracy: 2.29300e-01 Loss 3.43132e-02 Validation Loss 3.47974e-02 Time taken: 9.89 seconds 
Epoch: 133/200 Train accuracy: 2.51940e-01 Validation accuracy: 2.27300e-01 Loss 3.43089e-02 Validation Loss 3.47971e-02 Time taken: 9.23 seconds 
Epoch: 134/200 Train accuracy: 2.51900e-01 Validation accuracy: 2.29000e-01 Loss 3.43098e-02 Validation Loss 3.47940e-02 Time taken: 9.59 seconds 
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Epoch: 151/200 Train accuracy: 2.55180e-01 Validation accuracy: 2.30600e-01 Loss 3.42926e-02 Validation Loss 3.47800e-02 Time taken: 9.49 seconds 
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Epoch: 156/200 Train accuracy: 2.55640e-01 Validation accuracy: 2.30600e-01 Loss 3.42882e-02 Validation Loss 3.47810e-02 Time taken: 9.40 seconds 
Epoch: 157/200 Train accuracy: 2.55300e-01 Validation accuracy: 2.32400e-01 Loss 3.42875e-02 Validation Loss 3.47752e-02 Time taken: 9.41 seconds 
Epoch: 158/200 Train accuracy: 2.56200e-01 Validation accuracy: 2.30800e-01 Loss 3.42866e-02 Validation Loss 3.47835e-02 Time taken: 9.63 seconds 
Epoch: 159/200 Train accuracy: 2.55320e-01 Validation accuracy: 2.29100e-01 Loss 3.42844e-02 Validation Loss 3.47888e-02 Time taken: 10.10 seconds 
Epoch: 160/200 Train accuracy: 2.56240e-01 Validation accuracy: 2.29100e-01 Loss 3.42844e-02 Validation Loss 3.47807e-02 Time taken: 9.33 seconds 
Epoch: 161/200 Train accuracy: 2.56120e-01 Validation accuracy: 2.32100e-01 Loss 3.42840e-02 Validation Loss 3.47767e-02 Time taken: 10.16 seconds 
Epoch: 162/200 Train accuracy: 2.56160e-01 Validation accuracy: 2.31700e-01 Loss 3.42829e-02 Validation Loss 3.47742e-02 Time taken: 9.32 seconds 
Epoch: 163/200 Train accuracy: 2.56660e-01 Validation accuracy: 2.31000e-01 Loss 3.42826e-02 Validation Loss 3.47728e-02 Time taken: 9.48 seconds 
Epoch: 164/200 Train accuracy: 2.55740e-01 Validation accuracy: 2.30400e-01 Loss 3.42822e-02 Validation Loss 3.47742e-02 Time taken: 9.82 seconds 
Epoch: 165/200 Train accuracy: 2.55700e-01 Validation accuracy: 2.30700e-01 Loss 3.42815e-02 Validation Loss 3.47817e-02 Time taken: 9.32 seconds 
Epoch: 166/200 Train accuracy: 2.56340e-01 Validation accuracy: 2.28800e-01 Loss 3.42792e-02 Validation Loss 3.47805e-02 Time taken: 10.04 seconds 
Epoch: 167/200 Train accuracy: 2.56160e-01 Validation accuracy: 2.31700e-01 Loss 3.42805e-02 Validation Loss 3.47727e-02 Time taken: 9.73 seconds 
Epoch: 168/200 Train accuracy: 2.56740e-01 Validation accuracy: 2.30300e-01 Loss 3.42802e-02 Validation Loss 3.47767e-02 Time taken: 9.21 seconds 
Epoch: 169/200 Train accuracy: 2.56560e-01 Validation accuracy: 2.30400e-01 Loss 3.42767e-02 Validation Loss 3.47737e-02 Time taken: 7.48 seconds 
Epoch: 170/200 Train accuracy: 2.57180e-01 Validation accuracy: 2.31500e-01 Loss 3.42742e-02 Validation Loss 3.47705e-02 Time taken: 7.30 seconds 
Epoch: 171/200 Train accuracy: 2.58220e-01 Validation accuracy: 2.31500e-01 Loss 3.42737e-02 Validation Loss 3.47696e-02 Time taken: 7.52 seconds 
Epoch: 172/200 Train accuracy: 2.57320e-01 Validation accuracy: 2.30800e-01 Loss 3.42736e-02 Validation Loss 3.47677e-02 Time taken: 7.50 seconds 
Epoch: 173/200 Train accuracy: 2.57940e-01 Validation accuracy: 2.31600e-01 Loss 3.42707e-02 Validation Loss 3.47674e-02 Time taken: 7.53 seconds 
Epoch: 174/200 Train accuracy: 2.57440e-01 Validation accuracy: 2.31500e-01 Loss 3.42703e-02 Validation Loss 3.47636e-02 Time taken: 7.59 seconds 
Epoch: 175/200 Train accuracy: 2.58160e-01 Validation accuracy: 2.32700e-01 Loss 3.42694e-02 Validation Loss 3.47650e-02 Time taken: 7.51 seconds 
Epoch: 176/200 Train accuracy: 2.58020e-01 Validation accuracy: 2.30800e-01 Loss 3.42680e-02 Validation Loss 3.47684e-02 Time taken: 7.57 seconds 
Epoch: 177/200 Train accuracy: 2.57500e-01 Validation accuracy: 2.31500e-01 Loss 3.42681e-02 Validation Loss 3.47682e-02 Time taken: 7.44 seconds 
Epoch: 178/200 Train accuracy: 2.58060e-01 Validation accuracy: 2.31400e-01 Loss 3.42658e-02 Validation Loss 3.47652e-02 Time taken: 7.53 seconds 
Epoch: 179/200 Train accuracy: 2.59100e-01 Validation accuracy: 2.34100e-01 Loss 3.42636e-02 Validation Loss 3.47605e-02 Time taken: 7.51 seconds 
Epoch: 180/200 Train accuracy: 2.59220e-01 Validation accuracy: 2.32500e-01 Loss 3.42630e-02 Validation Loss 3.47661e-02 Time taken: 7.62 seconds 
Epoch: 181/200 Train accuracy: 2.58980e-01 Validation accuracy: 2.33900e-01 Loss 3.42635e-02 Validation Loss 3.47582e-02 Time taken: 7.40 seconds 
Epoch: 182/200 Train accuracy: 2.58680e-01 Validation accuracy: 2.33700e-01 Loss 3.42617e-02 Validation Loss 3.47636e-02 Time taken: 7.48 seconds 
Epoch: 183/200 Train accuracy: 2.59560e-01 Validation accuracy: 2.32600e-01 Loss 3.42610e-02 Validation Loss 3.47618e-02 Time taken: 7.46 seconds 
Epoch: 184/200 Train accuracy: 2.58780e-01 Validation accuracy: 2.34200e-01 Loss 3.42595e-02 Validation Loss 3.47580e-02 Time taken: 7.51 seconds 
Epoch: 185/200 Train accuracy: 2.59480e-01 Validation accuracy: 2.35300e-01 Loss 3.42590e-02 Validation Loss 3.47537e-02 Time taken: 7.56 seconds 
Epoch: 186/200 Train accuracy: 2.59340e-01 Validation accuracy: 2.35000e-01 Loss 3.42591e-02 Validation Loss 3.47538e-02 Time taken: 7.51 seconds 
Epoch: 187/200 Train accuracy: 2.60540e-01 Validation accuracy: 2.34400e-01 Loss 3.42569e-02 Validation Loss 3.47565e-02 Time taken: 7.48 seconds 
Epoch: 188/200 Train accuracy: 2.59780e-01 Validation accuracy: 2.36000e-01 Loss 3.42571e-02 Validation Loss 3.47533e-02 Time taken: 7.55 seconds 
Epoch: 189/200 Train accuracy: 2.60420e-01 Validation accuracy: 2.34500e-01 Loss 3.42551e-02 Validation Loss 3.47535e-02 Time taken: 8.43 seconds 
Epoch: 190/200 Train accuracy: 2.60660e-01 Validation accuracy: 2.32600e-01 Loss 3.42544e-02 Validation Loss 3.47583e-02 Time taken: 7.52 seconds 
Epoch: 191/200 Train accuracy: 2.60820e-01 Validation accuracy: 2.35600e-01 Loss 3.42548e-02 Validation Loss 3.47520e-02 Time taken: 7.49 seconds 
Epoch: 192/200 Train accuracy: 2.61120e-01 Validation accuracy: 2.34400e-01 Loss 3.42531e-02 Validation Loss 3.47543e-02 Time taken: 7.47 seconds 
Epoch: 193/200 Train accuracy: 2.59500e-01 Validation accuracy: 2.32400e-01 Loss 3.42529e-02 Validation Loss 3.47553e-02 Time taken: 8.14 seconds 
Epoch: 194/200 Train accuracy: 2.60960e-01 Validation accuracy: 2.33900e-01 Loss 3.42523e-02 Validation Loss 3.47551e-02 Time taken: 9.76 seconds 
Epoch: 195/200 Train accuracy: 2.60260e-01 Validation accuracy: 2.34900e-01 Loss 3.42523e-02 Validation Loss 3.47526e-02 Time taken: 9.28 seconds 
Epoch: 196/200 Train accuracy: 2.61260e-01 Validation accuracy: 2.34300e-01 Loss 3.42507e-02 Validation Loss 3.47555e-02 Time taken: 9.54 seconds 
Epoch: 197/200 Train accuracy: 2.60780e-01 Validation accuracy: 2.34900e-01 Loss 3.42506e-02 Validation Loss 3.47548e-02 Time taken: 9.51 seconds 
Epoch: 198/200 Train accuracy: 2.61320e-01 Validation accuracy: 2.36600e-01 Loss 3.42496e-02 Validation Loss 3.47475e-02 Time taken: 9.56 seconds 
Epoch: 199/200 Train accuracy: 2.60940e-01 Validation accuracy: 2.36000e-01 Loss 3.42496e-02 Validation Loss 3.47535e-02 Time taken: 9.84 seconds 
Epoch: 200/200 Train accuracy: 2.61240e-01 Validation accuracy: 2.34300e-01 Loss 3.42481e-02 Validation Loss 3.47517e-02 Time taken: 9.35 seconds 
Total time taken 0:31:07.374213
Cleaning up intermediate feature (.pt) files
Done


working on file logs_STL/stl-l2-seed0/jepa-stl-l2-seed0-ep250.pth.tar ...
Directory logs_STL/stl-l2-seed0/classifiers for saving the classifiers is now present
VisionTransformer(
  (patch_embed): PatchEmbed(
    (proj): Conv2d(3, 768, kernel_size=(15, 15), stride=(15, 15))
  )
  (blocks): ModuleList(
    (0-11): 12 x Block(
      (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (attn): Attention(
        (qkv): Linear(in_features=768, out_features=2304, bias=True)
        (attn_drop): Dropout(p=0.0, inplace=False)
        (proj): Linear(in_features=768, out_features=768, bias=True)
        (proj_drop): Dropout(p=0.0, inplace=False)
      )
      (drop_path): Identity()
      (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (mlp): MLP(
        (fc1): Linear(in_features=768, out_features=3072, bias=True)
        (act): GELU(approximate='none')
        (fc2): Linear(in_features=3072, out_features=768, bias=True)
        (drop): Dropout(p=0.0, inplace=False)
      )
    )
  )
  (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
)
Extracting features and saving them in memory..
Extracting features...
Done extracting features...
 Creating datasets
Created datasets...
 Creating data loaders
Done with data loaders
Commencing training
Epoch: 1/200 Train accuracy: 6.68000e-02 Validation accuracy: 1.04600e-01 Loss 3.57046e-02 Validation Loss 3.58327e-02 Time taken: 9.99 seconds 
Epoch: 2/200 Train accuracy: 1.21000e-01 Validation accuracy: 1.32900e-01 Loss 3.53594e-02 Validation Loss 3.56270e-02 Time taken: 9.55 seconds 
Epoch: 3/200 Train accuracy: 1.39380e-01 Validation accuracy: 1.42700e-01 Loss 3.52115e-02 Validation Loss 3.55400e-02 Time taken: 9.94 seconds 
Epoch: 4/200 Train accuracy: 1.48680e-01 Validation accuracy: 1.48000e-01 Loss 3.51391e-02 Validation Loss 3.54879e-02 Time taken: 9.77 seconds 
Epoch: 5/200 Train accuracy: 1.52780e-01 Validation accuracy: 1.51100e-01 Loss 3.50905e-02 Validation Loss 3.54479e-02 Time taken: 9.48 seconds 
Epoch: 6/200 Train accuracy: 1.58060e-01 Validation accuracy: 1.53900e-01 Loss 3.50457e-02 Validation Loss 3.54224e-02 Time taken: 9.39 seconds 
Epoch: 7/200 Train accuracy: 1.62480e-01 Validation accuracy: 1.59400e-01 Loss 3.50129e-02 Validation Loss 3.53913e-02 Time taken: 9.26 seconds 
Epoch: 8/200 Train accuracy: 1.64820e-01 Validation accuracy: 1.60000e-01 Loss 3.49877e-02 Validation Loss 3.53695e-02 Time taken: 9.19 seconds 
Epoch: 9/200 Train accuracy: 1.66200e-01 Validation accuracy: 1.62800e-01 Loss 3.49673e-02 Validation Loss 3.53469e-02 Time taken: 9.60 seconds 
Epoch: 10/200 Train accuracy: 1.70260e-01 Validation accuracy: 1.65000e-01 Loss 3.49427e-02 Validation Loss 3.53332e-02 Time taken: 9.22 seconds 
Epoch: 11/200 Train accuracy: 1.71680e-01 Validation accuracy: 1.68300e-01 Loss 3.49259e-02 Validation Loss 3.53187e-02 Time taken: 9.35 seconds 
Epoch: 12/200 Train accuracy: 1.73620e-01 Validation accuracy: 1.66500e-01 Loss 3.49101e-02 Validation Loss 3.53036e-02 Time taken: 9.91 seconds 
Epoch: 13/200 Train accuracy: 1.74940e-01 Validation accuracy: 1.69900e-01 Loss 3.48982e-02 Validation Loss 3.52921e-02 Time taken: 9.43 seconds 
Epoch: 14/200 Train accuracy: 1.75820e-01 Validation accuracy: 1.68900e-01 Loss 3.48846e-02 Validation Loss 3.52850e-02 Time taken: 9.71 seconds 
Epoch: 15/200 Train accuracy: 1.78340e-01 Validation accuracy: 1.72200e-01 Loss 3.48669e-02 Validation Loss 3.52650e-02 Time taken: 9.29 seconds 
Epoch: 16/200 Train accuracy: 1.81480e-01 Validation accuracy: 1.74400e-01 Loss 3.48482e-02 Validation Loss 3.52547e-02 Time taken: 9.31 seconds 
Epoch: 17/200 Train accuracy: 1.84340e-01 Validation accuracy: 1.74500e-01 Loss 3.48336e-02 Validation Loss 3.52495e-02 Time taken: 9.27 seconds 
Epoch: 18/200 Train accuracy: 1.84500e-01 Validation accuracy: 1.74500e-01 Loss 3.48216e-02 Validation Loss 3.52371e-02 Time taken: 9.47 seconds 
Epoch: 19/200 Train accuracy: 1.87000e-01 Validation accuracy: 1.78900e-01 Loss 3.48078e-02 Validation Loss 3.52150e-02 Time taken: 9.69 seconds 
Epoch: 20/200 Train accuracy: 1.89920e-01 Validation accuracy: 1.80500e-01 Loss 3.47843e-02 Validation Loss 3.52011e-02 Time taken: 9.68 seconds 
Epoch: 21/200 Train accuracy: 1.91540e-01 Validation accuracy: 1.80800e-01 Loss 3.47732e-02 Validation Loss 3.51893e-02 Time taken: 9.44 seconds 
Epoch: 22/200 Train accuracy: 1.93680e-01 Validation accuracy: 1.85800e-01 Loss 3.47577e-02 Validation Loss 3.51708e-02 Time taken: 9.30 seconds 
Epoch: 23/200 Train accuracy: 1.97960e-01 Validation accuracy: 1.86200e-01 Loss 3.47363e-02 Validation Loss 3.51525e-02 Time taken: 9.55 seconds 
Epoch: 24/200 Train accuracy: 1.98780e-01 Validation accuracy: 1.88300e-01 Loss 3.47225e-02 Validation Loss 3.51436e-02 Time taken: 9.52 seconds 
Epoch: 25/200 Train accuracy: 2.00160e-01 Validation accuracy: 1.88800e-01 Loss 3.47110e-02 Validation Loss 3.51374e-02 Time taken: 9.07 seconds 
Epoch: 26/200 Train accuracy: 2.00960e-01 Validation accuracy: 1.89200e-01 Loss 3.47013e-02 Validation Loss 3.51294e-02 Time taken: 9.27 seconds 
Epoch: 27/200 Train accuracy: 2.02400e-01 Validation accuracy: 1.90400e-01 Loss 3.46939e-02 Validation Loss 3.51216e-02 Time taken: 9.13 seconds 
Epoch: 28/200 Train accuracy: 2.03060e-01 Validation accuracy: 1.90600e-01 Loss 3.46860e-02 Validation Loss 3.51168e-02 Time taken: 9.80 seconds 
Epoch: 29/200 Train accuracy: 2.04100e-01 Validation accuracy: 1.89500e-01 Loss 3.46784e-02 Validation Loss 3.51189e-02 Time taken: 9.75 seconds 
Epoch: 30/200 Train accuracy: 2.04660e-01 Validation accuracy: 1.90900e-01 Loss 3.46710e-02 Validation Loss 3.51085e-02 Time taken: 9.50 seconds 
Epoch: 31/200 Train accuracy: 2.05620e-01 Validation accuracy: 1.91400e-01 Loss 3.46665e-02 Validation Loss 3.51054e-02 Time taken: 9.43 seconds 
Epoch: 32/200 Train accuracy: 2.06160e-01 Validation accuracy: 1.92300e-01 Loss 3.46596e-02 Validation Loss 3.50969e-02 Time taken: 9.82 seconds 
Epoch: 33/200 Train accuracy: 2.06480e-01 Validation accuracy: 1.93100e-01 Loss 3.46553e-02 Validation Loss 3.50948e-02 Time taken: 9.73 seconds 
Epoch: 34/200 Train accuracy: 2.07480e-01 Validation accuracy: 1.92900e-01 Loss 3.46486e-02 Validation Loss 3.50895e-02 Time taken: 9.52 seconds 
Epoch: 35/200 Train accuracy: 2.07880e-01 Validation accuracy: 1.93000e-01 Loss 3.46432e-02 Validation Loss 3.50894e-02 Time taken: 9.63 seconds 
Epoch: 36/200 Train accuracy: 2.07860e-01 Validation accuracy: 1.94500e-01 Loss 3.46378e-02 Validation Loss 3.50864e-02 Time taken: 9.19 seconds 
Epoch: 37/200 Train accuracy: 2.09220e-01 Validation accuracy: 1.93000e-01 Loss 3.46328e-02 Validation Loss 3.50760e-02 Time taken: 9.90 seconds 
Epoch: 38/200 Train accuracy: 2.10020e-01 Validation accuracy: 1.94900e-01 Loss 3.46261e-02 Validation Loss 3.50726e-02 Time taken: 9.30 seconds 
Epoch: 39/200 Train accuracy: 2.10500e-01 Validation accuracy: 1.93700e-01 Loss 3.46205e-02 Validation Loss 3.50742e-02 Time taken: 9.69 seconds 
Epoch: 40/200 Train accuracy: 2.11960e-01 Validation accuracy: 1.95200e-01 Loss 3.46158e-02 Validation Loss 3.50692e-02 Time taken: 9.79 seconds 
Epoch: 41/200 Train accuracy: 2.11340e-01 Validation accuracy: 1.94800e-01 Loss 3.46111e-02 Validation Loss 3.50671e-02 Time taken: 9.78 seconds 
Epoch: 42/200 Train accuracy: 2.12340e-01 Validation accuracy: 1.95100e-01 Loss 3.46063e-02 Validation Loss 3.50604e-02 Time taken: 9.83 seconds 
Epoch: 43/200 Train accuracy: 2.13700e-01 Validation accuracy: 1.96900e-01 Loss 3.46014e-02 Validation Loss 3.50557e-02 Time taken: 9.56 seconds 
Epoch: 44/200 Train accuracy: 2.13320e-01 Validation accuracy: 1.96700e-01 Loss 3.45960e-02 Validation Loss 3.50498e-02 Time taken: 9.28 seconds 
Epoch: 45/200 Train accuracy: 2.14100e-01 Validation accuracy: 1.97100e-01 Loss 3.45922e-02 Validation Loss 3.50479e-02 Time taken: 9.96 seconds 
Epoch: 46/200 Train accuracy: 2.15300e-01 Validation accuracy: 1.96900e-01 Loss 3.45876e-02 Validation Loss 3.50479e-02 Time taken: 9.39 seconds 
Epoch: 47/200 Train accuracy: 2.15320e-01 Validation accuracy: 1.96500e-01 Loss 3.45839e-02 Validation Loss 3.50453e-02 Time taken: 9.62 seconds 
Epoch: 48/200 Train accuracy: 2.15260e-01 Validation accuracy: 1.98100e-01 Loss 3.45809e-02 Validation Loss 3.50389e-02 Time taken: 9.93 seconds 
Epoch: 49/200 Train accuracy: 2.15540e-01 Validation accuracy: 1.96300e-01 Loss 3.45764e-02 Validation Loss 3.50423e-02 Time taken: 9.61 seconds 
Epoch: 50/200 Train accuracy: 2.16880e-01 Validation accuracy: 1.97300e-01 Loss 3.45727e-02 Validation Loss 3.50357e-02 Time taken: 9.46 seconds 
Epoch: 51/200 Train accuracy: 2.17400e-01 Validation accuracy: 1.97000e-01 Loss 3.45694e-02 Validation Loss 3.50378e-02 Time taken: 9.17 seconds 
Epoch: 52/200 Train accuracy: 2.17480e-01 Validation accuracy: 1.99100e-01 Loss 3.45665e-02 Validation Loss 3.50333e-02 Time taken: 9.21 seconds 
Epoch: 53/200 Train accuracy: 2.18260e-01 Validation accuracy: 1.98000e-01 Loss 3.45624e-02 Validation Loss 3.50298e-02 Time taken: 9.47 seconds 
Epoch: 54/200 Train accuracy: 2.18660e-01 Validation accuracy: 1.98800e-01 Loss 3.45606e-02 Validation Loss 3.50278e-02 Time taken: 9.42 seconds 
Epoch: 55/200 Train accuracy: 2.19180e-01 Validation accuracy: 1.98200e-01 Loss 3.45564e-02 Validation Loss 3.50268e-02 Time taken: 9.31 seconds 
Epoch: 56/200 Train accuracy: 2.19620e-01 Validation accuracy: 2.00500e-01 Loss 3.45526e-02 Validation Loss 3.50248e-02 Time taken: 9.56 seconds 
Epoch: 57/200 Train accuracy: 2.19320e-01 Validation accuracy: 1.98400e-01 Loss 3.45497e-02 Validation Loss 3.50249e-02 Time taken: 9.30 seconds 
Epoch: 58/200 Train accuracy: 2.19900e-01 Validation accuracy: 2.00700e-01 Loss 3.45444e-02 Validation Loss 3.50141e-02 Time taken: 9.42 seconds 
Epoch: 59/200 Train accuracy: 2.20600e-01 Validation accuracy: 1.98600e-01 Loss 3.45422e-02 Validation Loss 3.50147e-02 Time taken: 9.58 seconds 
Epoch: 60/200 Train accuracy: 2.20900e-01 Validation accuracy: 2.01200e-01 Loss 3.45387e-02 Validation Loss 3.50137e-02 Time taken: 9.39 seconds 
Epoch: 61/200 Train accuracy: 2.21020e-01 Validation accuracy: 2.00500e-01 Loss 3.45368e-02 Validation Loss 3.50068e-02 Time taken: 9.58 seconds 
Epoch: 62/200 Train accuracy: 2.21440e-01 Validation accuracy: 2.01700e-01 Loss 3.45331e-02 Validation Loss 3.50092e-02 Time taken: 10.02 seconds 
Epoch: 63/200 Train accuracy: 2.21960e-01 Validation accuracy: 2.00600e-01 Loss 3.45312e-02 Validation Loss 3.50072e-02 Time taken: 9.62 seconds 
Epoch: 64/200 Train accuracy: 2.22460e-01 Validation accuracy: 2.01000e-01 Loss 3.45280e-02 Validation Loss 3.50005e-02 Time taken: 9.48 seconds 
Epoch: 65/200 Train accuracy: 2.22720e-01 Validation accuracy: 2.02000e-01 Loss 3.45250e-02 Validation Loss 3.50016e-02 Time taken: 9.14 seconds 
Epoch: 66/200 Train accuracy: 2.22900e-01 Validation accuracy: 2.01200e-01 Loss 3.45231e-02 Validation Loss 3.50027e-02 Time taken: 9.85 seconds 
Epoch: 67/200 Train accuracy: 2.23100e-01 Validation accuracy: 2.01700e-01 Loss 3.45188e-02 Validation Loss 3.50006e-02 Time taken: 9.84 seconds 
Epoch: 68/200 Train accuracy: 2.23620e-01 Validation accuracy: 2.02400e-01 Loss 3.45176e-02 Validation Loss 3.49986e-02 Time taken: 9.61 seconds 
Epoch: 69/200 Train accuracy: 2.24540e-01 Validation accuracy: 2.03600e-01 Loss 3.45157e-02 Validation Loss 3.49914e-02 Time taken: 9.76 seconds 
Epoch: 70/200 Train accuracy: 2.25080e-01 Validation accuracy: 2.03600e-01 Loss 3.45132e-02 Validation Loss 3.49937e-02 Time taken: 9.55 seconds 
Epoch: 71/200 Train accuracy: 2.24440e-01 Validation accuracy: 2.03100e-01 Loss 3.45118e-02 Validation Loss 3.49896e-02 Time taken: 9.41 seconds 
Epoch: 72/200 Train accuracy: 2.25200e-01 Validation accuracy: 2.04000e-01 Loss 3.45082e-02 Validation Loss 3.49894e-02 Time taken: 9.36 seconds 
Epoch: 73/200 Train accuracy: 2.25120e-01 Validation accuracy: 2.03000e-01 Loss 3.45065e-02 Validation Loss 3.49882e-02 Time taken: 9.51 seconds 
Epoch: 74/200 Train accuracy: 2.25620e-01 Validation accuracy: 2.03100e-01 Loss 3.45047e-02 Validation Loss 3.49848e-02 Time taken: 9.51 seconds 
Epoch: 75/200 Train accuracy: 2.26020e-01 Validation accuracy: 2.03400e-01 Loss 3.45020e-02 Validation Loss 3.49881e-02 Time taken: 9.48 seconds 
Epoch: 76/200 Train accuracy: 2.26380e-01 Validation accuracy: 2.03300e-01 Loss 3.44996e-02 Validation Loss 3.49843e-02 Time taken: 9.38 seconds 
Epoch: 77/200 Train accuracy: 2.26380e-01 Validation accuracy: 2.05700e-01 Loss 3.44969e-02 Validation Loss 3.49793e-02 Time taken: 9.84 seconds 
Epoch: 78/200 Train accuracy: 2.27140e-01 Validation accuracy: 2.04500e-01 Loss 3.44955e-02 Validation Loss 3.49782e-02 Time taken: 9.49 seconds 
Epoch: 79/200 Train accuracy: 2.27300e-01 Validation accuracy: 2.04200e-01 Loss 3.44923e-02 Validation Loss 3.49749e-02 Time taken: 9.27 seconds 
Epoch: 80/200 Train accuracy: 2.27420e-01 Validation accuracy: 2.05200e-01 Loss 3.44912e-02 Validation Loss 3.49757e-02 Time taken: 9.96 seconds 
Epoch: 81/200 Train accuracy: 2.27620e-01 Validation accuracy: 2.06100e-01 Loss 3.44880e-02 Validation Loss 3.49726e-02 Time taken: 9.24 seconds 
Epoch: 82/200 Train accuracy: 2.28120e-01 Validation accuracy: 2.06200e-01 Loss 3.44852e-02 Validation Loss 3.49700e-02 Time taken: 9.11 seconds 
Epoch: 83/200 Train accuracy: 2.29180e-01 Validation accuracy: 2.04500e-01 Loss 3.44838e-02 Validation Loss 3.49716e-02 Time taken: 9.14 seconds 
Epoch: 84/200 Train accuracy: 2.28900e-01 Validation accuracy: 2.07000e-01 Loss 3.44809e-02 Validation Loss 3.49662e-02 Time taken: 9.66 seconds 
Epoch: 85/200 Train accuracy: 2.29920e-01 Validation accuracy: 2.07900e-01 Loss 3.44762e-02 Validation Loss 3.49661e-02 Time taken: 10.14 seconds 
Epoch: 86/200 Train accuracy: 2.30800e-01 Validation accuracy: 2.07900e-01 Loss 3.44730e-02 Validation Loss 3.49589e-02 Time taken: 9.87 seconds 
Epoch: 87/200 Train accuracy: 2.30060e-01 Validation accuracy: 2.07900e-01 Loss 3.44713e-02 Validation Loss 3.49613e-02 Time taken: 9.52 seconds 
Epoch: 88/200 Train accuracy: 2.31000e-01 Validation accuracy: 2.08500e-01 Loss 3.44689e-02 Validation Loss 3.49544e-02 Time taken: 9.44 seconds 
Epoch: 89/200 Train accuracy: 2.31000e-01 Validation accuracy: 2.08400e-01 Loss 3.44665e-02 Validation Loss 3.49560e-02 Time taken: 9.62 seconds 
Epoch: 90/200 Train accuracy: 2.31320e-01 Validation accuracy: 2.09200e-01 Loss 3.44648e-02 Validation Loss 3.49514e-02 Time taken: 9.50 seconds 
Epoch: 91/200 Train accuracy: 2.31320e-01 Validation accuracy: 2.08800e-01 Loss 3.44619e-02 Validation Loss 3.49543e-02 Time taken: 9.07 seconds 
Epoch: 92/200 Train accuracy: 2.31640e-01 Validation accuracy: 2.09400e-01 Loss 3.44612e-02 Validation Loss 3.49499e-02 Time taken: 9.45 seconds 
Epoch: 93/200 Train accuracy: 2.32000e-01 Validation accuracy: 2.08200e-01 Loss 3.44591e-02 Validation Loss 3.49559e-02 Time taken: 10.05 seconds 
Epoch: 94/200 Train accuracy: 2.32260e-01 Validation accuracy: 2.08800e-01 Loss 3.44568e-02 Validation Loss 3.49510e-02 Time taken: 9.57 seconds 
Epoch: 95/200 Train accuracy: 2.32320e-01 Validation accuracy: 2.08900e-01 Loss 3.44552e-02 Validation Loss 3.49520e-02 Time taken: 9.70 seconds 
Epoch: 96/200 Train accuracy: 2.32320e-01 Validation accuracy: 2.09400e-01 Loss 3.44527e-02 Validation Loss 3.49460e-02 Time taken: 9.46 seconds 
Epoch: 97/200 Train accuracy: 2.32900e-01 Validation accuracy: 2.12200e-01 Loss 3.44518e-02 Validation Loss 3.49455e-02 Time taken: 9.89 seconds 
Epoch: 98/200 Train accuracy: 2.33060e-01 Validation accuracy: 2.11500e-01 Loss 3.44497e-02 Validation Loss 3.49443e-02 Time taken: 9.46 seconds 
Epoch: 99/200 Train accuracy: 2.33440e-01 Validation accuracy: 2.11100e-01 Loss 3.44480e-02 Validation Loss 3.49398e-02 Time taken: 9.22 seconds 
Epoch: 100/200 Train accuracy: 2.33620e-01 Validation accuracy: 2.10400e-01 Loss 3.44465e-02 Validation Loss 3.49403e-02 Time taken: 9.19 seconds 
Epoch: 101/200 Train accuracy: 2.33780e-01 Validation accuracy: 2.11300e-01 Loss 3.44446e-02 Validation Loss 3.49392e-02 Time taken: 10.08 seconds 
Epoch: 102/200 Train accuracy: 2.33340e-01 Validation accuracy: 2.10300e-01 Loss 3.44425e-02 Validation Loss 3.49409e-02 Time taken: 9.83 seconds 
Epoch: 103/200 Train accuracy: 2.34480e-01 Validation accuracy: 2.11800e-01 Loss 3.44412e-02 Validation Loss 3.49368e-02 Time taken: 9.50 seconds 
Epoch: 104/200 Train accuracy: 2.34320e-01 Validation accuracy: 2.11100e-01 Loss 3.44402e-02 Validation Loss 3.49415e-02 Time taken: 9.40 seconds 
Epoch: 105/200 Train accuracy: 2.34860e-01 Validation accuracy: 2.10600e-01 Loss 3.44395e-02 Validation Loss 3.49400e-02 Time taken: 9.56 seconds 
Epoch: 106/200 Train accuracy: 2.35740e-01 Validation accuracy: 2.11600e-01 Loss 3.44369e-02 Validation Loss 3.49322e-02 Time taken: 9.24 seconds 
Epoch: 107/200 Train accuracy: 2.35300e-01 Validation accuracy: 2.12100e-01 Loss 3.44366e-02 Validation Loss 3.49304e-02 Time taken: 9.39 seconds 
Epoch: 108/200 Train accuracy: 2.35840e-01 Validation accuracy: 2.12900e-01 Loss 3.44346e-02 Validation Loss 3.49274e-02 Time taken: 9.62 seconds 
Epoch: 109/200 Train accuracy: 2.35720e-01 Validation accuracy: 2.11200e-01 Loss 3.44332e-02 Validation Loss 3.49306e-02 Time taken: 9.27 seconds 
Epoch: 110/200 Train accuracy: 2.36200e-01 Validation accuracy: 2.12500e-01 Loss 3.44306e-02 Validation Loss 3.49285e-02 Time taken: 9.12 seconds 
Epoch: 111/200 Train accuracy: 2.36080e-01 Validation accuracy: 2.11500e-01 Loss 3.44300e-02 Validation Loss 3.49299e-02 Time taken: 9.38 seconds 
Epoch: 112/200 Train accuracy: 2.35820e-01 Validation accuracy: 2.13700e-01 Loss 3.44296e-02 Validation Loss 3.49240e-02 Time taken: 9.49 seconds 
Epoch: 113/200 Train accuracy: 2.36360e-01 Validation accuracy: 2.12000e-01 Loss 3.44262e-02 Validation Loss 3.49249e-02 Time taken: 9.43 seconds 
Epoch: 114/200 Train accuracy: 2.36420e-01 Validation accuracy: 2.12500e-01 Loss 3.44268e-02 Validation Loss 3.49271e-02 Time taken: 9.83 seconds 
Epoch: 115/200 Train accuracy: 2.36520e-01 Validation accuracy: 2.11700e-01 Loss 3.44249e-02 Validation Loss 3.49301e-02 Time taken: 9.34 seconds 
Epoch: 116/200 Train accuracy: 2.37080e-01 Validation accuracy: 2.12600e-01 Loss 3.44234e-02 Validation Loss 3.49242e-02 Time taken: 9.82 seconds 
Epoch: 117/200 Train accuracy: 2.36980e-01 Validation accuracy: 2.14400e-01 Loss 3.44227e-02 Validation Loss 3.49219e-02 Time taken: 9.12 seconds 
Epoch: 118/200 Train accuracy: 2.37100e-01 Validation accuracy: 2.13400e-01 Loss 3.44212e-02 Validation Loss 3.49241e-02 Time taken: 9.39 seconds 
Epoch: 119/200 Train accuracy: 2.37860e-01 Validation accuracy: 2.14200e-01 Loss 3.44181e-02 Validation Loss 3.49191e-02 Time taken: 9.91 seconds 
Epoch: 120/200 Train accuracy: 2.39340e-01 Validation accuracy: 2.15100e-01 Loss 3.44130e-02 Validation Loss 3.49112e-02 Time taken: 9.20 seconds 
Epoch: 121/200 Train accuracy: 2.38780e-01 Validation accuracy: 2.15300e-01 Loss 3.44123e-02 Validation Loss 3.49109e-02 Time taken: 9.29 seconds 
Epoch: 122/200 Train accuracy: 2.39400e-01 Validation accuracy: 2.15400e-01 Loss 3.44091e-02 Validation Loss 3.49140e-02 Time taken: 8.98 seconds 
Epoch: 123/200 Train accuracy: 2.39380e-01 Validation accuracy: 2.13800e-01 Loss 3.44067e-02 Validation Loss 3.49135e-02 Time taken: 10.01 seconds 
Epoch: 124/200 Train accuracy: 2.39760e-01 Validation accuracy: 2.13900e-01 Loss 3.44057e-02 Validation Loss 3.49166e-02 Time taken: 9.67 seconds 
Epoch: 125/200 Train accuracy: 2.40000e-01 Validation accuracy: 2.15800e-01 Loss 3.44040e-02 Validation Loss 3.49063e-02 Time taken: 9.52 seconds 
Epoch: 126/200 Train accuracy: 2.40680e-01 Validation accuracy: 2.14800e-01 Loss 3.44018e-02 Validation Loss 3.49105e-02 Time taken: 9.38 seconds 
Epoch: 127/200 Train accuracy: 2.40680e-01 Validation accuracy: 2.15300e-01 Loss 3.44012e-02 Validation Loss 3.49050e-02 Time taken: 9.69 seconds 
Epoch: 128/200 Train accuracy: 2.40880e-01 Validation accuracy: 2.15000e-01 Loss 3.44000e-02 Validation Loss 3.49068e-02 Time taken: 10.11 seconds 
Epoch: 129/200 Train accuracy: 2.40600e-01 Validation accuracy: 2.15700e-01 Loss 3.43984e-02 Validation Loss 3.49067e-02 Time taken: 9.51 seconds 
Epoch: 130/200 Train accuracy: 2.41340e-01 Validation accuracy: 2.16400e-01 Loss 3.43957e-02 Validation Loss 3.49011e-02 Time taken: 9.42 seconds 
Epoch: 131/200 Train accuracy: 2.41300e-01 Validation accuracy: 2.16100e-01 Loss 3.43952e-02 Validation Loss 3.49028e-02 Time taken: 9.72 seconds 
Epoch: 132/200 Train accuracy: 2.41820e-01 Validation accuracy: 2.16200e-01 Loss 3.43938e-02 Validation Loss 3.49013e-02 Time taken: 9.16 seconds 
Epoch: 133/200 Train accuracy: 2.41880e-01 Validation accuracy: 2.16000e-01 Loss 3.43926e-02 Validation Loss 3.49012e-02 Time taken: 8.95 seconds 
Epoch: 134/200 Train accuracy: 2.41500e-01 Validation accuracy: 2.16000e-01 Loss 3.43922e-02 Validation Loss 3.49025e-02 Time taken: 9.93 seconds 
Epoch: 135/200 Train accuracy: 2.42200e-01 Validation accuracy: 2.15000e-01 Loss 3.43912e-02 Validation Loss 3.49043e-02 Time taken: 9.38 seconds 
Epoch: 136/200 Train accuracy: 2.42240e-01 Validation accuracy: 2.14500e-01 Loss 3.43899e-02 Validation Loss 3.49008e-02 Time taken: 9.55 seconds 
Epoch: 137/200 Train accuracy: 2.41900e-01 Validation accuracy: 2.14900e-01 Loss 3.43893e-02 Validation Loss 3.48987e-02 Time taken: 10.01 seconds 
Epoch: 138/200 Train accuracy: 2.42460e-01 Validation accuracy: 2.15600e-01 Loss 3.43877e-02 Validation Loss 3.49016e-02 Time taken: 9.46 seconds 
Epoch: 139/200 Train accuracy: 2.42620e-01 Validation accuracy: 2.16800e-01 Loss 3.43870e-02 Validation Loss 3.48956e-02 Time taken: 9.14 seconds 
Epoch: 140/200 Train accuracy: 2.42960e-01 Validation accuracy: 2.18600e-01 Loss 3.43860e-02 Validation Loss 3.48945e-02 Time taken: 9.99 seconds 
Epoch: 141/200 Train accuracy: 2.42940e-01 Validation accuracy: 2.17100e-01 Loss 3.43844e-02 Validation Loss 3.48954e-02 Time taken: 9.68 seconds 
Epoch: 142/200 Train accuracy: 2.43240e-01 Validation accuracy: 2.17700e-01 Loss 3.43828e-02 Validation Loss 3.48920e-02 Time taken: 9.15 seconds 
Epoch: 143/200 Train accuracy: 2.43280e-01 Validation accuracy: 2.16100e-01 Loss 3.43814e-02 Validation Loss 3.48977e-02 Time taken: 9.40 seconds 
Epoch: 144/200 Train accuracy: 2.44020e-01 Validation accuracy: 2.18000e-01 Loss 3.43813e-02 Validation Loss 3.48916e-02 Time taken: 9.42 seconds 
Epoch: 145/200 Train accuracy: 2.43400e-01 Validation accuracy: 2.18500e-01 Loss 3.43794e-02 Validation Loss 3.48937e-02 Time taken: 9.21 seconds 
Epoch: 146/200 Train accuracy: 2.43820e-01 Validation accuracy: 2.17000e-01 Loss 3.43796e-02 Validation Loss 3.48926e-02 Time taken: 9.37 seconds 
Epoch: 147/200 Train accuracy: 2.44400e-01 Validation accuracy: 2.16200e-01 Loss 3.43784e-02 Validation Loss 3.48913e-02 Time taken: 10.05 seconds 
Epoch: 148/200 Train accuracy: 2.43840e-01 Validation accuracy: 2.16900e-01 Loss 3.43748e-02 Validation Loss 3.48907e-02 Time taken: 9.77 seconds 
Epoch: 149/200 Train accuracy: 2.44160e-01 Validation accuracy: 2.17200e-01 Loss 3.43763e-02 Validation Loss 3.48919e-02 Time taken: 9.11 seconds 
Epoch: 150/200 Train accuracy: 2.44780e-01 Validation accuracy: 2.17300e-01 Loss 3.43751e-02 Validation Loss 3.48878e-02 Time taken: 9.19 seconds 
Epoch: 151/200 Train accuracy: 2.44460e-01 Validation accuracy: 2.15900e-01 Loss 3.43736e-02 Validation Loss 3.48966e-02 Time taken: 10.01 seconds 
Epoch: 152/200 Train accuracy: 2.45180e-01 Validation accuracy: 2.17800e-01 Loss 3.43730e-02 Validation Loss 3.48888e-02 Time taken: 9.62 seconds 
Epoch: 153/200 Train accuracy: 2.45000e-01 Validation accuracy: 2.18000e-01 Loss 3.43720e-02 Validation Loss 3.48841e-02 Time taken: 9.54 seconds 
Epoch: 154/200 Train accuracy: 2.45020e-01 Validation accuracy: 2.17200e-01 Loss 3.43712e-02 Validation Loss 3.48849e-02 Time taken: 9.59 seconds 
Epoch: 155/200 Train accuracy: 2.45220e-01 Validation accuracy: 2.18500e-01 Loss 3.43699e-02 Validation Loss 3.48820e-02 Time taken: 9.58 seconds 
Epoch: 156/200 Train accuracy: 2.44720e-01 Validation accuracy: 2.18700e-01 Loss 3.43705e-02 Validation Loss 3.48842e-02 Time taken: 9.56 seconds 
Epoch: 157/200 Train accuracy: 2.45420e-01 Validation accuracy: 2.17700e-01 Loss 3.43681e-02 Validation Loss 3.48852e-02 Time taken: 9.15 seconds 
Epoch: 158/200 Train accuracy: 2.45480e-01 Validation accuracy: 2.18400e-01 Loss 3.43678e-02 Validation Loss 3.48807e-02 Time taken: 9.89 seconds 
Epoch: 159/200 Train accuracy: 2.44540e-01 Validation accuracy: 2.18400e-01 Loss 3.43673e-02 Validation Loss 3.48789e-02 Time taken: 9.77 seconds 
Epoch: 160/200 Train accuracy: 2.45780e-01 Validation accuracy: 2.19600e-01 Loss 3.43673e-02 Validation Loss 3.48808e-02 Time taken: 9.82 seconds 
Epoch: 161/200 Train accuracy: 2.45180e-01 Validation accuracy: 2.19400e-01 Loss 3.43663e-02 Validation Loss 3.48798e-02 Time taken: 9.52 seconds 
Epoch: 162/200 Train accuracy: 2.46100e-01 Validation accuracy: 2.19100e-01 Loss 3.43639e-02 Validation Loss 3.48786e-02 Time taken: 9.38 seconds 
Epoch: 163/200 Train accuracy: 2.45640e-01 Validation accuracy: 2.17900e-01 Loss 3.43634e-02 Validation Loss 3.48767e-02 Time taken: 9.71 seconds 
Epoch: 164/200 Train accuracy: 2.45960e-01 Validation accuracy: 2.18800e-01 Loss 3.43619e-02 Validation Loss 3.48833e-02 Time taken: 9.75 seconds 
Epoch: 165/200 Train accuracy: 2.46340e-01 Validation accuracy: 2.18200e-01 Loss 3.43635e-02 Validation Loss 3.48822e-02 Time taken: 9.12 seconds 
Epoch: 166/200 Train accuracy: 2.46440e-01 Validation accuracy: 2.19900e-01 Loss 3.43610e-02 Validation Loss 3.48784e-02 Time taken: 9.65 seconds 
Epoch: 167/200 Train accuracy: 2.46000e-01 Validation accuracy: 2.18200e-01 Loss 3.43606e-02 Validation Loss 3.48777e-02 Time taken: 9.77 seconds 
Epoch: 168/200 Train accuracy: 2.46720e-01 Validation accuracy: 2.20300e-01 Loss 3.43593e-02 Validation Loss 3.48756e-02 Time taken: 9.62 seconds 
Epoch: 169/200 Train accuracy: 2.46740e-01 Validation accuracy: 2.19600e-01 Loss 3.43584e-02 Validation Loss 3.48760e-02 Time taken: 9.21 seconds 
Epoch: 170/200 Train accuracy: 2.46240e-01 Validation accuracy: 2.20400e-01 Loss 3.43589e-02 Validation Loss 3.48753e-02 Time taken: 10.24 seconds 
Epoch: 171/200 Train accuracy: 2.46560e-01 Validation accuracy: 2.19300e-01 Loss 3.43584e-02 Validation Loss 3.48725e-02 Time taken: 7.66 seconds 
Epoch: 172/200 Train accuracy: 2.47020e-01 Validation accuracy: 2.17500e-01 Loss 3.43561e-02 Validation Loss 3.48720e-02 Time taken: 7.47 seconds 
Epoch: 173/200 Train accuracy: 2.46360e-01 Validation accuracy: 2.19200e-01 Loss 3.43570e-02 Validation Loss 3.48712e-02 Time taken: 7.43 seconds 
Epoch: 174/200 Train accuracy: 2.47960e-01 Validation accuracy: 2.20400e-01 Loss 3.43539e-02 Validation Loss 3.48715e-02 Time taken: 7.49 seconds 
Epoch: 175/200 Train accuracy: 2.48560e-01 Validation accuracy: 2.18700e-01 Loss 3.43493e-02 Validation Loss 3.48703e-02 Time taken: 7.34 seconds 
Epoch: 176/200 Train accuracy: 2.48120e-01 Validation accuracy: 2.19700e-01 Loss 3.43468e-02 Validation Loss 3.48732e-02 Time taken: 7.37 seconds 
Epoch: 177/200 Train accuracy: 2.48900e-01 Validation accuracy: 2.20900e-01 Loss 3.43459e-02 Validation Loss 3.48691e-02 Time taken: 7.36 seconds 
Epoch: 178/200 Train accuracy: 2.48460e-01 Validation accuracy: 2.19800e-01 Loss 3.43450e-02 Validation Loss 3.48681e-02 Time taken: 7.45 seconds 
Epoch: 179/200 Train accuracy: 2.48860e-01 Validation accuracy: 2.19900e-01 Loss 3.43430e-02 Validation Loss 3.48686e-02 Time taken: 7.47 seconds 
Epoch: 180/200 Train accuracy: 2.49600e-01 Validation accuracy: 2.21900e-01 Loss 3.43415e-02 Validation Loss 3.48671e-02 Time taken: 7.50 seconds 
Epoch: 181/200 Train accuracy: 2.49640e-01 Validation accuracy: 2.21600e-01 Loss 3.43396e-02 Validation Loss 3.48655e-02 Time taken: 7.39 seconds 
Epoch: 182/200 Train accuracy: 2.49820e-01 Validation accuracy: 2.19400e-01 Loss 3.43384e-02 Validation Loss 3.48634e-02 Time taken: 7.42 seconds 
Epoch: 183/200 Train accuracy: 2.49740e-01 Validation accuracy: 2.18700e-01 Loss 3.43374e-02 Validation Loss 3.48685e-02 Time taken: 7.42 seconds 
Epoch: 184/200 Train accuracy: 2.49680e-01 Validation accuracy: 2.19300e-01 Loss 3.43364e-02 Validation Loss 3.48628e-02 Time taken: 7.47 seconds 
Epoch: 185/200 Train accuracy: 2.49860e-01 Validation accuracy: 2.20100e-01 Loss 3.43355e-02 Validation Loss 3.48631e-02 Time taken: 7.42 seconds 
Epoch: 186/200 Train accuracy: 2.50480e-01 Validation accuracy: 2.22200e-01 Loss 3.43347e-02 Validation Loss 3.48563e-02 Time taken: 7.54 seconds 
Epoch: 187/200 Train accuracy: 2.50760e-01 Validation accuracy: 2.21900e-01 Loss 3.43329e-02 Validation Loss 3.48601e-02 Time taken: 7.51 seconds 
Epoch: 188/200 Train accuracy: 2.49900e-01 Validation accuracy: 2.22000e-01 Loss 3.43341e-02 Validation Loss 3.48577e-02 Time taken: 7.46 seconds 
Epoch: 189/200 Train accuracy: 2.50340e-01 Validation accuracy: 2.21300e-01 Loss 3.43333e-02 Validation Loss 3.48584e-02 Time taken: 7.36 seconds 
Epoch: 190/200 Train accuracy: 2.50780e-01 Validation accuracy: 2.20300e-01 Loss 3.43314e-02 Validation Loss 3.48571e-02 Time taken: 7.41 seconds 
Epoch: 191/200 Train accuracy: 2.50780e-01 Validation accuracy: 2.21400e-01 Loss 3.43305e-02 Validation Loss 3.48591e-02 Time taken: 8.30 seconds 
Epoch: 192/200 Train accuracy: 2.50820e-01 Validation accuracy: 2.23100e-01 Loss 3.43301e-02 Validation Loss 3.48550e-02 Time taken: 7.46 seconds 
Epoch: 193/200 Train accuracy: 2.50360e-01 Validation accuracy: 2.20300e-01 Loss 3.43287e-02 Validation Loss 3.48576e-02 Time taken: 7.49 seconds 
Epoch: 194/200 Train accuracy: 2.51400e-01 Validation accuracy: 2.21500e-01 Loss 3.43278e-02 Validation Loss 3.48556e-02 Time taken: 7.51 seconds 
Epoch: 195/200 Train accuracy: 2.51080e-01 Validation accuracy: 2.22400e-01 Loss 3.43274e-02 Validation Loss 3.48570e-02 Time taken: 8.90 seconds 
Epoch: 196/200 Train accuracy: 2.51000e-01 Validation accuracy: 2.21800e-01 Loss 3.43264e-02 Validation Loss 3.48537e-02 Time taken: 9.27 seconds 
Epoch: 197/200 Train accuracy: 2.51080e-01 Validation accuracy: 2.21400e-01 Loss 3.43266e-02 Validation Loss 3.48571e-02 Time taken: 9.32 seconds 
Epoch: 198/200 Train accuracy: 2.51720e-01 Validation accuracy: 2.21800e-01 Loss 3.43259e-02 Validation Loss 3.48513e-02 Time taken: 9.63 seconds 
Epoch: 199/200 Train accuracy: 2.51620e-01 Validation accuracy: 2.21400e-01 Loss 3.43240e-02 Validation Loss 3.48511e-02 Time taken: 9.61 seconds 
Epoch: 200/200 Train accuracy: 2.52560e-01 Validation accuracy: 2.23300e-01 Loss 3.43240e-02 Validation Loss 3.48500e-02 Time taken: 9.46 seconds 
Total time taken 0:30:56.986756
Cleaning up intermediate feature (.pt) files
Done


working on file logs_STL/stl-l2-seed0/jepa-stl-l2-seed0-ep300.pth.tar ...
Directory logs_STL/stl-l2-seed0/classifiers for saving the classifiers is now present
VisionTransformer(
  (patch_embed): PatchEmbed(
    (proj): Conv2d(3, 768, kernel_size=(15, 15), stride=(15, 15))
  )
  (blocks): ModuleList(
    (0-11): 12 x Block(
      (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (attn): Attention(
        (qkv): Linear(in_features=768, out_features=2304, bias=True)
        (attn_drop): Dropout(p=0.0, inplace=False)
        (proj): Linear(in_features=768, out_features=768, bias=True)
        (proj_drop): Dropout(p=0.0, inplace=False)
      )
      (drop_path): Identity()
      (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (mlp): MLP(
        (fc1): Linear(in_features=768, out_features=3072, bias=True)
        (act): GELU(approximate='none')
        (fc2): Linear(in_features=3072, out_features=768, bias=True)
        (drop): Dropout(p=0.0, inplace=False)
      )
    )
  )
  (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
)
Extracting features and saving them in memory..
Extracting features...
Done extracting features...
 Creating datasets
Created datasets...
 Creating data loaders
Done with data loaders
Commencing training
Epoch: 1/200 Train accuracy: 6.96200e-02 Validation accuracy: 1.11300e-01 Loss 3.57091e-02 Validation Loss 3.58353e-02 Time taken: 9.67 seconds 
Epoch: 2/200 Train accuracy: 1.28440e-01 Validation accuracy: 1.42800e-01 Loss 3.53625e-02 Validation Loss 3.56216e-02 Time taken: 9.92 seconds 
Epoch: 3/200 Train accuracy: 1.43840e-01 Validation accuracy: 1.50000e-01 Loss 3.52200e-02 Validation Loss 3.55364e-02 Time taken: 9.32 seconds 
Epoch: 4/200 Train accuracy: 1.49280e-01 Validation accuracy: 1.52300e-01 Loss 3.51491e-02 Validation Loss 3.54877e-02 Time taken: 9.11 seconds 
Epoch: 5/200 Train accuracy: 1.54180e-01 Validation accuracy: 1.54400e-01 Loss 3.51019e-02 Validation Loss 3.54546e-02 Time taken: 9.59 seconds 
Epoch: 6/200 Train accuracy: 1.57420e-01 Validation accuracy: 1.59100e-01 Loss 3.50666e-02 Validation Loss 3.54266e-02 Time taken: 9.61 seconds 
Epoch: 7/200 Train accuracy: 1.60620e-01 Validation accuracy: 1.63400e-01 Loss 3.50368e-02 Validation Loss 3.53916e-02 Time taken: 9.81 seconds 
Epoch: 8/200 Train accuracy: 1.66000e-01 Validation accuracy: 1.66700e-01 Loss 3.50019e-02 Validation Loss 3.53629e-02 Time taken: 9.79 seconds 
Epoch: 9/200 Train accuracy: 1.67680e-01 Validation accuracy: 1.70200e-01 Loss 3.49783e-02 Validation Loss 3.53375e-02 Time taken: 9.75 seconds 
Epoch: 10/200 Train accuracy: 1.70780e-01 Validation accuracy: 1.72800e-01 Loss 3.49538e-02 Validation Loss 3.53144e-02 Time taken: 9.87 seconds 
Epoch: 11/200 Train accuracy: 1.74200e-01 Validation accuracy: 1.74200e-01 Loss 3.49283e-02 Validation Loss 3.52883e-02 Time taken: 10.21 seconds 
Epoch: 12/200 Train accuracy: 1.77600e-01 Validation accuracy: 1.76300e-01 Loss 3.49044e-02 Validation Loss 3.52723e-02 Time taken: 9.46 seconds 
Epoch: 13/200 Train accuracy: 1.78280e-01 Validation accuracy: 1.77900e-01 Loss 3.48878e-02 Validation Loss 3.52597e-02 Time taken: 9.48 seconds 
Epoch: 14/200 Train accuracy: 1.80820e-01 Validation accuracy: 1.79100e-01 Loss 3.48728e-02 Validation Loss 3.52464e-02 Time taken: 9.85 seconds 
Epoch: 15/200 Train accuracy: 1.83740e-01 Validation accuracy: 1.81800e-01 Loss 3.48533e-02 Validation Loss 3.52310e-02 Time taken: 9.83 seconds 
Epoch: 16/200 Train accuracy: 1.85380e-01 Validation accuracy: 1.82100e-01 Loss 3.48388e-02 Validation Loss 3.52228e-02 Time taken: 9.42 seconds 
Epoch: 17/200 Train accuracy: 1.85640e-01 Validation accuracy: 1.82300e-01 Loss 3.48282e-02 Validation Loss 3.52109e-02 Time taken: 9.61 seconds 
Epoch: 18/200 Train accuracy: 1.86900e-01 Validation accuracy: 1.84800e-01 Loss 3.48171e-02 Validation Loss 3.51989e-02 Time taken: 9.46 seconds 
Epoch: 19/200 Train accuracy: 1.88080e-01 Validation accuracy: 1.86200e-01 Loss 3.48063e-02 Validation Loss 3.51894e-02 Time taken: 9.42 seconds 
Epoch: 20/200 Train accuracy: 1.88860e-01 Validation accuracy: 1.85500e-01 Loss 3.47958e-02 Validation Loss 3.51832e-02 Time taken: 9.77 seconds 
Epoch: 21/200 Train accuracy: 1.90680e-01 Validation accuracy: 1.86800e-01 Loss 3.47855e-02 Validation Loss 3.51682e-02 Time taken: 9.12 seconds 
Epoch: 22/200 Train accuracy: 1.94040e-01 Validation accuracy: 1.89400e-01 Loss 3.47690e-02 Validation Loss 3.51612e-02 Time taken: 9.82 seconds 
Epoch: 23/200 Train accuracy: 1.94960e-01 Validation accuracy: 1.90200e-01 Loss 3.47578e-02 Validation Loss 3.51504e-02 Time taken: 9.37 seconds 
Epoch: 24/200 Train accuracy: 1.98640e-01 Validation accuracy: 1.92600e-01 Loss 3.47367e-02 Validation Loss 3.51289e-02 Time taken: 9.72 seconds 
Epoch: 25/200 Train accuracy: 2.00280e-01 Validation accuracy: 1.94500e-01 Loss 3.47219e-02 Validation Loss 3.51149e-02 Time taken: 9.74 seconds 
Epoch: 26/200 Train accuracy: 2.01280e-01 Validation accuracy: 1.95600e-01 Loss 3.47114e-02 Validation Loss 3.51101e-02 Time taken: 9.22 seconds 
Epoch: 27/200 Train accuracy: 2.02080e-01 Validation accuracy: 1.96100e-01 Loss 3.47014e-02 Validation Loss 3.51015e-02 Time taken: 9.45 seconds 
Epoch: 28/200 Train accuracy: 2.03440e-01 Validation accuracy: 1.98700e-01 Loss 3.46938e-02 Validation Loss 3.50895e-02 Time taken: 9.52 seconds 
Epoch: 29/200 Train accuracy: 2.04640e-01 Validation accuracy: 1.98200e-01 Loss 3.46841e-02 Validation Loss 3.50865e-02 Time taken: 9.51 seconds 
Epoch: 30/200 Train accuracy: 2.04760e-01 Validation accuracy: 1.98800e-01 Loss 3.46767e-02 Validation Loss 3.50786e-02 Time taken: 9.87 seconds 
Epoch: 31/200 Train accuracy: 2.06580e-01 Validation accuracy: 2.01200e-01 Loss 3.46663e-02 Validation Loss 3.50660e-02 Time taken: 9.75 seconds 
Epoch: 32/200 Train accuracy: 2.08480e-01 Validation accuracy: 2.01400e-01 Loss 3.46572e-02 Validation Loss 3.50602e-02 Time taken: 9.38 seconds 
Epoch: 33/200 Train accuracy: 2.08800e-01 Validation accuracy: 2.00800e-01 Loss 3.46487e-02 Validation Loss 3.50583e-02 Time taken: 9.28 seconds 
Epoch: 34/200 Train accuracy: 2.09580e-01 Validation accuracy: 2.02500e-01 Loss 3.46441e-02 Validation Loss 3.50514e-02 Time taken: 9.48 seconds 
Epoch: 35/200 Train accuracy: 2.10500e-01 Validation accuracy: 2.04600e-01 Loss 3.46367e-02 Validation Loss 3.50426e-02 Time taken: 9.18 seconds 
Epoch: 36/200 Train accuracy: 2.10800e-01 Validation accuracy: 2.03700e-01 Loss 3.46326e-02 Validation Loss 3.50410e-02 Time taken: 9.82 seconds 
Epoch: 37/200 Train accuracy: 2.11800e-01 Validation accuracy: 2.04400e-01 Loss 3.46264e-02 Validation Loss 3.50353e-02 Time taken: 9.32 seconds 
Epoch: 38/200 Train accuracy: 2.12280e-01 Validation accuracy: 2.05600e-01 Loss 3.46182e-02 Validation Loss 3.50290e-02 Time taken: 9.73 seconds 
Epoch: 39/200 Train accuracy: 2.13200e-01 Validation accuracy: 2.04100e-01 Loss 3.46116e-02 Validation Loss 3.50231e-02 Time taken: 9.47 seconds 
Epoch: 40/200 Train accuracy: 2.14540e-01 Validation accuracy: 2.06200e-01 Loss 3.46076e-02 Validation Loss 3.50196e-02 Time taken: 9.89 seconds 
Epoch: 41/200 Train accuracy: 2.14620e-01 Validation accuracy: 2.05100e-01 Loss 3.46008e-02 Validation Loss 3.50190e-02 Time taken: 9.72 seconds 
Epoch: 42/200 Train accuracy: 2.15000e-01 Validation accuracy: 2.06400e-01 Loss 3.45963e-02 Validation Loss 3.50131e-02 Time taken: 8.87 seconds 
Epoch: 43/200 Train accuracy: 2.16120e-01 Validation accuracy: 2.06300e-01 Loss 3.45897e-02 Validation Loss 3.50085e-02 Time taken: 9.74 seconds 
Epoch: 44/200 Train accuracy: 2.16540e-01 Validation accuracy: 2.08600e-01 Loss 3.45837e-02 Validation Loss 3.50054e-02 Time taken: 9.45 seconds 
Epoch: 45/200 Train accuracy: 2.17300e-01 Validation accuracy: 2.08600e-01 Loss 3.45792e-02 Validation Loss 3.49970e-02 Time taken: 9.38 seconds 
Epoch: 46/200 Train accuracy: 2.17760e-01 Validation accuracy: 2.11800e-01 Loss 3.45731e-02 Validation Loss 3.49801e-02 Time taken: 9.50 seconds 
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Epoch: 123/200 Train accuracy: 2.54920e-01 Validation accuracy: 2.36700e-01 Loss 3.42981e-02 Validation Loss 3.47681e-02 Time taken: 9.91 seconds 
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Total time taken 0:30:57.736629
Cleaning up intermediate feature (.pt) files
Done


working on file logs_STL/stl-l2-seed0/jepa-stl-l2-seed0-ep50.pth.tar ...
Directory logs_STL/stl-l2-seed0/classifiers for saving the classifiers is now present
VisionTransformer(
  (patch_embed): PatchEmbed(
    (proj): Conv2d(3, 768, kernel_size=(15, 15), stride=(15, 15))
  )
  (blocks): ModuleList(
    (0-11): 12 x Block(
      (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (attn): Attention(
        (qkv): Linear(in_features=768, out_features=2304, bias=True)
        (attn_drop): Dropout(p=0.0, inplace=False)
        (proj): Linear(in_features=768, out_features=768, bias=True)
        (proj_drop): Dropout(p=0.0, inplace=False)
      )
      (drop_path): Identity()
      (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
      (mlp): MLP(
        (fc1): Linear(in_features=768, out_features=3072, bias=True)
        (act): GELU(approximate='none')
        (fc2): Linear(in_features=3072, out_features=768, bias=True)
        (drop): Dropout(p=0.0, inplace=False)
      )
    )
  )
  (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
)
Extracting features and saving them in memory..
Extracting features...
Done extracting features...
 Creating datasets
Created datasets...
 Creating data loaders
Done with data loaders
Commencing training
Epoch: 1/200 Train accuracy: 7.21200e-02 Validation accuracy: 1.14000e-01 Loss 3.57053e-02 Validation Loss 3.58122e-02 Time taken: 9.23 seconds 
Epoch: 2/200 Train accuracy: 1.20260e-01 Validation accuracy: 1.27000e-01 Loss 3.53860e-02 Validation Loss 3.56677e-02 Time taken: 9.88 seconds 
Epoch: 3/200 Train accuracy: 1.29220e-01 Validation accuracy: 1.32600e-01 Loss 3.52870e-02 Validation Loss 3.55966e-02 Time taken: 9.77 seconds 
Epoch: 4/200 Train accuracy: 1.38300e-01 Validation accuracy: 1.40500e-01 Loss 3.52201e-02 Validation Loss 3.55398e-02 Time taken: 9.65 seconds 
Epoch: 5/200 Train accuracy: 1.47300e-01 Validation accuracy: 1.51200e-01 Loss 3.51526e-02 Validation Loss 3.54709e-02 Time taken: 9.69 seconds 
Epoch: 6/200 Train accuracy: 1.52620e-01 Validation accuracy: 1.56000e-01 Loss 3.51055e-02 Validation Loss 3.54303e-02 Time taken: 9.71 seconds 
Epoch: 7/200 Train accuracy: 1.58520e-01 Validation accuracy: 1.58800e-01 Loss 3.50586e-02 Validation Loss 3.53936e-02 Time taken: 9.55 seconds 
Epoch: 8/200 Train accuracy: 1.61680e-01 Validation accuracy: 1.62900e-01 Loss 3.50271e-02 Validation Loss 3.53716e-02 Time taken: 9.89 seconds 
Epoch: 9/200 Train accuracy: 1.64480e-01 Validation accuracy: 1.61400e-01 Loss 3.50032e-02 Validation Loss 3.53577e-02 Time taken: 9.32 seconds 
Epoch: 10/200 Train accuracy: 1.66280e-01 Validation accuracy: 1.63900e-01 Loss 3.49835e-02 Validation Loss 3.53418e-02 Time taken: 9.58 seconds 
Epoch: 11/200 Train accuracy: 1.67480e-01 Validation accuracy: 1.65400e-01 Loss 3.49676e-02 Validation Loss 3.53251e-02 Time taken: 9.09 seconds 
Epoch: 12/200 Train accuracy: 1.69540e-01 Validation accuracy: 1.69700e-01 Loss 3.49500e-02 Validation Loss 3.53107e-02 Time taken: 9.77 seconds 
Epoch: 13/200 Train accuracy: 1.71700e-01 Validation accuracy: 1.67300e-01 Loss 3.49300e-02 Validation Loss 3.52985e-02 Time taken: 9.59 seconds 
Epoch: 14/200 Train accuracy: 1.73420e-01 Validation accuracy: 1.67500e-01 Loss 3.49167e-02 Validation Loss 3.52912e-02 Time taken: 9.17 seconds 
Epoch: 15/200 Train accuracy: 1.74340e-01 Validation accuracy: 1.70600e-01 Loss 3.49047e-02 Validation Loss 3.52778e-02 Time taken: 9.93 seconds 
Epoch: 16/200 Train accuracy: 1.75880e-01 Validation accuracy: 1.71900e-01 Loss 3.48926e-02 Validation Loss 3.52666e-02 Time taken: 9.26 seconds 
Epoch: 17/200 Train accuracy: 1.77980e-01 Validation accuracy: 1.74300e-01 Loss 3.48778e-02 Validation Loss 3.52467e-02 Time taken: 9.67 seconds 
Epoch: 18/200 Train accuracy: 1.80700e-01 Validation accuracy: 1.75700e-01 Loss 3.48605e-02 Validation Loss 3.52398e-02 Time taken: 9.51 seconds 
Epoch: 19/200 Train accuracy: 1.82000e-01 Validation accuracy: 1.75100e-01 Loss 3.48499e-02 Validation Loss 3.52324e-02 Time taken: 9.60 seconds 
Epoch: 20/200 Train accuracy: 1.82960e-01 Validation accuracy: 1.76900e-01 Loss 3.48407e-02 Validation Loss 3.52222e-02 Time taken: 9.35 seconds 
Epoch: 21/200 Train accuracy: 1.84160e-01 Validation accuracy: 1.77600e-01 Loss 3.48302e-02 Validation Loss 3.52186e-02 Time taken: 9.83 seconds 
Epoch: 22/200 Train accuracy: 1.85960e-01 Validation accuracy: 1.80500e-01 Loss 3.48201e-02 Validation Loss 3.52043e-02 Time taken: 9.33 seconds 
Epoch: 23/200 Train accuracy: 1.87060e-01 Validation accuracy: 1.80300e-01 Loss 3.48106e-02 Validation Loss 3.51994e-02 Time taken: 9.46 seconds 
Epoch: 24/200 Train accuracy: 1.88420e-01 Validation accuracy: 1.80300e-01 Loss 3.48010e-02 Validation Loss 3.51964e-02 Time taken: 9.01 seconds 
Epoch: 25/200 Train accuracy: 1.89320e-01 Validation accuracy: 1.81500e-01 Loss 3.47936e-02 Validation Loss 3.51896e-02 Time taken: 9.26 seconds 
Epoch: 26/200 Train accuracy: 1.90140e-01 Validation accuracy: 1.82300e-01 Loss 3.47852e-02 Validation Loss 3.51808e-02 Time taken: 9.55 seconds 
Epoch: 27/200 Train accuracy: 1.91740e-01 Validation accuracy: 1.83900e-01 Loss 3.47789e-02 Validation Loss 3.51773e-02 Time taken: 9.71 seconds 
Epoch: 28/200 Train accuracy: 1.92480e-01 Validation accuracy: 1.83000e-01 Loss 3.47715e-02 Validation Loss 3.51698e-02 Time taken: 9.70 seconds 
Epoch: 29/200 Train accuracy: 1.93700e-01 Validation accuracy: 1.84900e-01 Loss 3.47614e-02 Validation Loss 3.51607e-02 Time taken: 9.65 seconds 
Epoch: 30/200 Train accuracy: 1.94480e-01 Validation accuracy: 1.85300e-01 Loss 3.47494e-02 Validation Loss 3.51563e-02 Time taken: 9.48 seconds 
Epoch: 31/200 Train accuracy: 1.96000e-01 Validation accuracy: 1.86600e-01 Loss 3.47449e-02 Validation Loss 3.51499e-02 Time taken: 9.84 seconds 
Epoch: 32/200 Train accuracy: 1.97140e-01 Validation accuracy: 1.86900e-01 Loss 3.47378e-02 Validation Loss 3.51444e-02 Time taken: 9.37 seconds 
Epoch: 33/200 Train accuracy: 1.96840e-01 Validation accuracy: 1.86700e-01 Loss 3.47324e-02 Validation Loss 3.51422e-02 Time taken: 9.62 seconds 
Epoch: 34/200 Train accuracy: 1.98460e-01 Validation accuracy: 1.86600e-01 Loss 3.47260e-02 Validation Loss 3.51416e-02 Time taken: 9.35 seconds 
Epoch: 35/200 Train accuracy: 1.97960e-01 Validation accuracy: 1.88500e-01 Loss 3.47220e-02 Validation Loss 3.51319e-02 Time taken: 9.89 seconds 
Epoch: 36/200 Train accuracy: 1.99300e-01 Validation accuracy: 1.89600e-01 Loss 3.47160e-02 Validation Loss 3.51262e-02 Time taken: 9.32 seconds 
Epoch: 37/200 Train accuracy: 1.99900e-01 Validation accuracy: 1.88900e-01 Loss 3.47107e-02 Validation Loss 3.51245e-02 Time taken: 9.29 seconds 
Epoch: 38/200 Train accuracy: 2.00620e-01 Validation accuracy: 1.89400e-01 Loss 3.47058e-02 Validation Loss 3.51204e-02 Time taken: 9.56 seconds 
Epoch: 39/200 Train accuracy: 2.01320e-01 Validation accuracy: 1.89800e-01 Loss 3.47018e-02 Validation Loss 3.51173e-02 Time taken: 9.16 seconds 
Epoch: 40/200 Train accuracy: 2.01800e-01 Validation accuracy: 1.91700e-01 Loss 3.46959e-02 Validation Loss 3.51110e-02 Time taken: 9.73 seconds 
Epoch: 41/200 Train accuracy: 2.02840e-01 Validation accuracy: 1.91700e-01 Loss 3.46912e-02 Validation Loss 3.51081e-02 Time taken: 9.05 seconds 
Epoch: 42/200 Train accuracy: 2.03180e-01 Validation accuracy: 1.93100e-01 Loss 3.46876e-02 Validation Loss 3.51028e-02 Time taken: 9.62 seconds 
Epoch: 43/200 Train accuracy: 2.03460e-01 Validation accuracy: 1.92700e-01 Loss 3.46826e-02 Validation Loss 3.51000e-02 Time taken: 9.78 seconds 
Epoch: 44/200 Train accuracy: 2.04520e-01 Validation accuracy: 1.92200e-01 Loss 3.46778e-02 Validation Loss 3.50960e-02 Time taken: 9.43 seconds 
Epoch: 45/200 Train accuracy: 2.05100e-01 Validation accuracy: 1.94100e-01 Loss 3.46729e-02 Validation Loss 3.50893e-02 Time taken: 9.63 seconds 
Epoch: 46/200 Train accuracy: 2.05880e-01 Validation accuracy: 1.93200e-01 Loss 3.46675e-02 Validation Loss 3.50848e-02 Time taken: 9.89 seconds 
Epoch: 47/200 Train accuracy: 2.06280e-01 Validation accuracy: 1.95000e-01 Loss 3.46626e-02 Validation Loss 3.50835e-02 Time taken: 9.52 seconds 
Epoch: 48/200 Train accuracy: 2.06540e-01 Validation accuracy: 1.95400e-01 Loss 3.46591e-02 Validation Loss 3.50808e-02 Time taken: 9.72 seconds 
Epoch: 49/200 Train accuracy: 2.07520e-01 Validation accuracy: 1.94900e-01 Loss 3.46555e-02 Validation Loss 3.50773e-02 Time taken: 9.24 seconds 
Epoch: 50/200 Train accuracy: 2.07500e-01 Validation accuracy: 1.95900e-01 Loss 3.46520e-02 Validation Loss 3.50715e-02 Time taken: 9.50 seconds 
Epoch: 51/200 Train accuracy: 2.08720e-01 Validation accuracy: 1.95000e-01 Loss 3.46479e-02 Validation Loss 3.50724e-02 Time taken: 9.48 seconds 
Epoch: 52/200 Train accuracy: 2.08800e-01 Validation accuracy: 1.95700e-01 Loss 3.46442e-02 Validation Loss 3.50696e-02 Time taken: 9.54 seconds 
Epoch: 53/200 Train accuracy: 2.09780e-01 Validation accuracy: 1.94700e-01 Loss 3.46407e-02 Validation Loss 3.50670e-02 Time taken: 9.38 seconds 
Epoch: 54/200 Train accuracy: 2.10360e-01 Validation accuracy: 1.96600e-01 Loss 3.46371e-02 Validation Loss 3.50615e-02 Time taken: 9.68 seconds 
Epoch: 55/200 Train accuracy: 2.10320e-01 Validation accuracy: 1.97100e-01 Loss 3.46343e-02 Validation Loss 3.50613e-02 Time taken: 9.35 seconds 
Epoch: 56/200 Train accuracy: 2.11240e-01 Validation accuracy: 1.97000e-01 Loss 3.46310e-02 Validation Loss 3.50590e-02 Time taken: 9.70 seconds 
Epoch: 57/200 Train accuracy: 2.11340e-01 Validation accuracy: 1.97300e-01 Loss 3.46270e-02 Validation Loss 3.50546e-02 Time taken: 9.80 seconds 
Epoch: 58/200 Train accuracy: 2.11980e-01 Validation accuracy: 1.97200e-01 Loss 3.46256e-02 Validation Loss 3.50524e-02 Time taken: 9.43 seconds 
Epoch: 59/200 Train accuracy: 2.12600e-01 Validation accuracy: 1.97500e-01 Loss 3.46215e-02 Validation Loss 3.50491e-02 Time taken: 9.66 seconds 
Epoch: 60/200 Train accuracy: 2.12560e-01 Validation accuracy: 1.97900e-01 Loss 3.46183e-02 Validation Loss 3.50451e-02 Time taken: 9.23 seconds 
Epoch: 61/200 Train accuracy: 2.13820e-01 Validation accuracy: 1.99300e-01 Loss 3.46120e-02 Validation Loss 3.50417e-02 Time taken: 9.13 seconds 
Epoch: 62/200 Train accuracy: 2.14540e-01 Validation accuracy: 2.00600e-01 Loss 3.46030e-02 Validation Loss 3.50342e-02 Time taken: 9.39 seconds 
Epoch: 63/200 Train accuracy: 2.15620e-01 Validation accuracy: 2.00300e-01 Loss 3.45988e-02 Validation Loss 3.50285e-02 Time taken: 10.09 seconds 
Epoch: 64/200 Train accuracy: 2.15960e-01 Validation accuracy: 1.99900e-01 Loss 3.45952e-02 Validation Loss 3.50300e-02 Time taken: 9.05 seconds 
Epoch: 65/200 Train accuracy: 2.15800e-01 Validation accuracy: 1.99400e-01 Loss 3.45921e-02 Validation Loss 3.50273e-02 Time taken: 9.53 seconds 
Epoch: 66/200 Train accuracy: 2.17380e-01 Validation accuracy: 2.00500e-01 Loss 3.45891e-02 Validation Loss 3.50280e-02 Time taken: 9.13 seconds 
Epoch: 67/200 Train accuracy: 2.17160e-01 Validation accuracy: 2.00300e-01 Loss 3.45887e-02 Validation Loss 3.50196e-02 Time taken: 9.64 seconds 
Epoch: 68/200 Train accuracy: 2.17500e-01 Validation accuracy: 2.01300e-01 Loss 3.45839e-02 Validation Loss 3.50211e-02 Time taken: 9.50 seconds 
Epoch: 69/200 Train accuracy: 2.18140e-01 Validation accuracy: 2.01000e-01 Loss 3.45814e-02 Validation Loss 3.50194e-02 Time taken: 9.77 seconds 
Epoch: 70/200 Train accuracy: 2.17920e-01 Validation accuracy: 2.02000e-01 Loss 3.45767e-02 Validation Loss 3.50199e-02 Time taken: 9.73 seconds 
Epoch: 71/200 Train accuracy: 2.18940e-01 Validation accuracy: 2.00700e-01 Loss 3.45745e-02 Validation Loss 3.50194e-02 Time taken: 9.43 seconds 
Epoch: 72/200 Train accuracy: 2.19460e-01 Validation accuracy: 2.01900e-01 Loss 3.45726e-02 Validation Loss 3.50137e-02 Time taken: 9.47 seconds 
Epoch: 73/200 Train accuracy: 2.19340e-01 Validation accuracy: 2.01500e-01 Loss 3.45696e-02 Validation Loss 3.50103e-02 Time taken: 9.22 seconds 
Epoch: 74/200 Train accuracy: 2.20060e-01 Validation accuracy: 2.00200e-01 Loss 3.45659e-02 Validation Loss 3.50117e-02 Time taken: 9.40 seconds 
Epoch: 75/200 Train accuracy: 2.19740e-01 Validation accuracy: 2.01700e-01 Loss 3.45653e-02 Validation Loss 3.50104e-02 Time taken: 9.59 seconds 
Epoch: 76/200 Train accuracy: 2.19640e-01 Validation accuracy: 2.01900e-01 Loss 3.45625e-02 Validation Loss 3.50066e-02 Time taken: 9.91 seconds 
Epoch: 77/200 Train accuracy: 2.20680e-01 Validation accuracy: 2.02700e-01 Loss 3.45597e-02 Validation Loss 3.50089e-02 Time taken: 9.48 seconds 
Epoch: 78/200 Train accuracy: 2.21240e-01 Validation accuracy: 2.02200e-01 Loss 3.45568e-02 Validation Loss 3.50078e-02 Time taken: 9.44 seconds 
Epoch: 79/200 Train accuracy: 2.21300e-01 Validation accuracy: 2.01300e-01 Loss 3.45549e-02 Validation Loss 3.50055e-02 Time taken: 10.02 seconds 
Epoch: 80/200 Train accuracy: 2.21860e-01 Validation accuracy: 2.02200e-01 Loss 3.45542e-02 Validation Loss 3.50030e-02 Time taken: 9.52 seconds 
Epoch: 81/200 Train accuracy: 2.21180e-01 Validation accuracy: 2.03600e-01 Loss 3.45523e-02 Validation Loss 3.49999e-02 Time taken: 9.33 seconds 
Epoch: 82/200 Train accuracy: 2.21920e-01 Validation accuracy: 2.02800e-01 Loss 3.45492e-02 Validation Loss 3.50016e-02 Time taken: 9.35 seconds 
Epoch: 83/200 Train accuracy: 2.22760e-01 Validation accuracy: 2.01300e-01 Loss 3.45460e-02 Validation Loss 3.50011e-02 Time taken: 9.79 seconds 
Epoch: 84/200 Train accuracy: 2.22420e-01 Validation accuracy: 2.02500e-01 Loss 3.45454e-02 Validation Loss 3.49965e-02 Time taken: 9.77 seconds 
Epoch: 85/200 Train accuracy: 2.23100e-01 Validation accuracy: 2.04100e-01 Loss 3.45433e-02 Validation Loss 3.49991e-02 Time taken: 9.47 seconds 
Epoch: 86/200 Train accuracy: 2.23160e-01 Validation accuracy: 2.02900e-01 Loss 3.45411e-02 Validation Loss 3.49974e-02 Time taken: 9.50 seconds 
Epoch: 87/200 Train accuracy: 2.23400e-01 Validation accuracy: 2.04100e-01 Loss 3.45383e-02 Validation Loss 3.49962e-02 Time taken: 9.67 seconds 
Epoch: 88/200 Train accuracy: 2.23580e-01 Validation accuracy: 2.02300e-01 Loss 3.45375e-02 Validation Loss 3.49946e-02 Time taken: 9.40 seconds 
Epoch: 89/200 Train accuracy: 2.23360e-01 Validation accuracy: 2.02600e-01 Loss 3.45349e-02 Validation Loss 3.49958e-02 Time taken: 9.27 seconds 
Epoch: 90/200 Train accuracy: 2.24580e-01 Validation accuracy: 2.02500e-01 Loss 3.45342e-02 Validation Loss 3.49934e-02 Time taken: 9.44 seconds 
Epoch: 91/200 Train accuracy: 2.24280e-01 Validation accuracy: 2.03700e-01 Loss 3.45324e-02 Validation Loss 3.49922e-02 Time taken: 9.71 seconds 
Epoch: 92/200 Train accuracy: 2.24480e-01 Validation accuracy: 2.05000e-01 Loss 3.45309e-02 Validation Loss 3.49888e-02 Time taken: 9.34 seconds 
Epoch: 93/200 Train accuracy: 2.24940e-01 Validation accuracy: 2.03000e-01 Loss 3.45281e-02 Validation Loss 3.49927e-02 Time taken: 9.63 seconds 
Epoch: 94/200 Train accuracy: 2.25660e-01 Validation accuracy: 2.03700e-01 Loss 3.45266e-02 Validation Loss 3.49876e-02 Time taken: 9.08 seconds 
Epoch: 95/200 Train accuracy: 2.25560e-01 Validation accuracy: 2.03800e-01 Loss 3.45244e-02 Validation Loss 3.49868e-02 Time taken: 9.25 seconds 
Epoch: 96/200 Train accuracy: 2.26380e-01 Validation accuracy: 2.05800e-01 Loss 3.45240e-02 Validation Loss 3.49840e-02 Time taken: 9.71 seconds 
Epoch: 97/200 Train accuracy: 2.25920e-01 Validation accuracy: 2.06700e-01 Loss 3.45220e-02 Validation Loss 3.49845e-02 Time taken: 9.21 seconds 
Epoch: 98/200 Train accuracy: 2.26060e-01 Validation accuracy: 2.06900e-01 Loss 3.45203e-02 Validation Loss 3.49819e-02 Time taken: 9.44 seconds 
Epoch: 99/200 Train accuracy: 2.26300e-01 Validation accuracy: 2.06000e-01 Loss 3.45193e-02 Validation Loss 3.49779e-02 Time taken: 10.00 seconds 
Epoch: 100/200 Train accuracy: 2.26020e-01 Validation accuracy: 2.05100e-01 Loss 3.45173e-02 Validation Loss 3.49812e-02 Time taken: 9.26 seconds 
Epoch: 101/200 Train accuracy: 2.26780e-01 Validation accuracy: 2.05200e-01 Loss 3.45154e-02 Validation Loss 3.49825e-02 Time taken: 9.26 seconds 
Epoch: 102/200 Train accuracy: 2.27080e-01 Validation accuracy: 2.05300e-01 Loss 3.45139e-02 Validation Loss 3.49807e-02 Time taken: 10.01 seconds 
Epoch: 103/200 Train accuracy: 2.27280e-01 Validation accuracy: 2.04700e-01 Loss 3.45121e-02 Validation Loss 3.49810e-02 Time taken: 9.63 seconds 
Epoch: 104/200 Train accuracy: 2.26660e-01 Validation accuracy: 2.05200e-01 Loss 3.45114e-02 Validation Loss 3.49789e-02 Time taken: 9.50 seconds 
Epoch: 105/200 Train accuracy: 2.27500e-01 Validation accuracy: 2.06200e-01 Loss 3.45090e-02 Validation Loss 3.49730e-02 Time taken: 9.95 seconds 
Epoch: 106/200 Train accuracy: 2.27380e-01 Validation accuracy: 2.05900e-01 Loss 3.45075e-02 Validation Loss 3.49749e-02 Time taken: 9.51 seconds 
Epoch: 107/200 Train accuracy: 2.27720e-01 Validation accuracy: 2.06000e-01 Loss 3.45072e-02 Validation Loss 3.49763e-02 Time taken: 9.64 seconds 
Epoch: 108/200 Train accuracy: 2.27580e-01 Validation accuracy: 2.06800e-01 Loss 3.45054e-02 Validation Loss 3.49728e-02 Time taken: 9.36 seconds 
Epoch: 109/200 Train accuracy: 2.28380e-01 Validation accuracy: 2.06500e-01 Loss 3.45026e-02 Validation Loss 3.49772e-02 Time taken: 9.41 seconds 
Epoch: 110/200 Train accuracy: 2.28420e-01 Validation accuracy: 2.06600e-01 Loss 3.45022e-02 Validation Loss 3.49730e-02 Time taken: 9.74 seconds 
Epoch: 111/200 Train accuracy: 2.28820e-01 Validation accuracy: 2.06800e-01 Loss 3.45014e-02 Validation Loss 3.49725e-02 Time taken: 9.79 seconds 
Epoch: 112/200 Train accuracy: 2.28800e-01 Validation accuracy: 2.05800e-01 Loss 3.45001e-02 Validation Loss 3.49748e-02 Time taken: 9.92 seconds 
Epoch: 113/200 Train accuracy: 2.28540e-01 Validation accuracy: 2.07000e-01 Loss 3.44999e-02 Validation Loss 3.49697e-02 Time taken: 9.09 seconds 
Epoch: 114/200 Train accuracy: 2.28720e-01 Validation accuracy: 2.06900e-01 Loss 3.44974e-02 Validation Loss 3.49678e-02 Time taken: 9.53 seconds 
Epoch: 115/200 Train accuracy: 2.29260e-01 Validation accuracy: 2.07100e-01 Loss 3.44964e-02 Validation Loss 3.49702e-02 Time taken: 9.99 seconds 
Epoch: 116/200 Train accuracy: 2.29820e-01 Validation accuracy: 2.07200e-01 Loss 3.44953e-02 Validation Loss 3.49704e-02 Time taken: 9.63 seconds 
Epoch: 117/200 Train accuracy: 2.29400e-01 Validation accuracy: 2.09400e-01 Loss 3.44933e-02 Validation Loss 3.49649e-02 Time taken: 9.74 seconds 
Epoch: 118/200 Train accuracy: 2.29220e-01 Validation accuracy: 2.05800e-01 Loss 3.44928e-02 Validation Loss 3.49650e-02 Time taken: 9.97 seconds 
Epoch: 119/200 Train accuracy: 2.29740e-01 Validation accuracy: 2.08600e-01 Loss 3.44917e-02 Validation Loss 3.49640e-02 Time taken: 9.24 seconds 
Epoch: 120/200 Train accuracy: 2.29700e-01 Validation accuracy: 2.06900e-01 Loss 3.44901e-02 Validation Loss 3.49661e-02 Time taken: 9.36 seconds 
Epoch: 121/200 Train accuracy: 2.29900e-01 Validation accuracy: 2.07100e-01 Loss 3.44888e-02 Validation Loss 3.49656e-02 Time taken: 9.45 seconds 
Epoch: 122/200 Train accuracy: 2.30020e-01 Validation accuracy: 2.08300e-01 Loss 3.44877e-02 Validation Loss 3.49648e-02 Time taken: 9.84 seconds 
Epoch: 123/200 Train accuracy: 2.30400e-01 Validation accuracy: 2.06900e-01 Loss 3.44864e-02 Validation Loss 3.49621e-02 Time taken: 9.17 seconds 
Epoch: 124/200 Train accuracy: 2.29980e-01 Validation accuracy: 2.08100e-01 Loss 3.44863e-02 Validation Loss 3.49615e-02 Time taken: 9.44 seconds 
Epoch: 125/200 Train accuracy: 2.31020e-01 Validation accuracy: 2.06700e-01 Loss 3.44842e-02 Validation Loss 3.49608e-02 Time taken: 9.71 seconds 
Epoch: 126/200 Train accuracy: 2.30900e-01 Validation accuracy: 2.07400e-01 Loss 3.44825e-02 Validation Loss 3.49618e-02 Time taken: 9.21 seconds 
Epoch: 127/200 Train accuracy: 2.30820e-01 Validation accuracy: 2.08200e-01 Loss 3.44825e-02 Validation Loss 3.49599e-02 Time taken: 9.16 seconds 
Epoch: 128/200 Train accuracy: 2.31080e-01 Validation accuracy: 2.09500e-01 Loss 3.44818e-02 Validation Loss 3.49601e-02 Time taken: 9.69 seconds 
Epoch: 129/200 Train accuracy: 2.30620e-01 Validation accuracy: 2.07500e-01 Loss 3.44802e-02 Validation Loss 3.49608e-02 Time taken: 9.68 seconds 
Epoch: 130/200 Train accuracy: 2.31000e-01 Validation accuracy: 2.06500e-01 Loss 3.44788e-02 Validation Loss 3.49610e-02 Time taken: 9.24 seconds 
Epoch: 131/200 Train accuracy: 2.31180e-01 Validation accuracy: 2.07900e-01 Loss 3.44784e-02 Validation Loss 3.49569e-02 Time taken: 10.11 seconds 
Epoch: 132/200 Train accuracy: 2.31720e-01 Validation accuracy: 2.08500e-01 Loss 3.44773e-02 Validation Loss 3.49584e-02 Time taken: 9.68 seconds 
Epoch: 133/200 Train accuracy: 2.31400e-01 Validation accuracy: 2.08900e-01 Loss 3.44769e-02 Validation Loss 3.49551e-02 Time taken: 9.39 seconds 
Epoch: 134/200 Train accuracy: 2.32060e-01 Validation accuracy: 2.09000e-01 Loss 3.44744e-02 Validation Loss 3.49552e-02 Time taken: 9.53 seconds 
Epoch: 135/200 Train accuracy: 2.31680e-01 Validation accuracy: 2.09000e-01 Loss 3.44747e-02 Validation Loss 3.49542e-02 Time taken: 9.44 seconds 
Epoch: 136/200 Train accuracy: 2.31580e-01 Validation accuracy: 2.09700e-01 Loss 3.44742e-02 Validation Loss 3.49543e-02 Time taken: 9.55 seconds 
Epoch: 137/200 Train accuracy: 2.31960e-01 Validation accuracy: 2.08900e-01 Loss 3.44737e-02 Validation Loss 3.49525e-02 Time taken: 9.28 seconds 
Epoch: 138/200 Train accuracy: 2.32420e-01 Validation accuracy: 2.09900e-01 Loss 3.44723e-02 Validation Loss 3.49523e-02 Time taken: 10.35 seconds 
Epoch: 139/200 Train accuracy: 2.32580e-01 Validation accuracy: 2.10400e-01 Loss 3.44703e-02 Validation Loss 3.49517e-02 Time taken: 10.11 seconds 
Epoch: 140/200 Train accuracy: 2.32360e-01 Validation accuracy: 2.08700e-01 Loss 3.44708e-02 Validation Loss 3.49541e-02 Time taken: 9.91 seconds 
Epoch: 141/200 Train accuracy: 2.32980e-01 Validation accuracy: 2.08900e-01 Loss 3.44694e-02 Validation Loss 3.49510e-02 Time taken: 9.75 seconds 
Epoch: 142/200 Train accuracy: 2.32800e-01 Validation accuracy: 2.08700e-01 Loss 3.44688e-02 Validation Loss 3.49512e-02 Time taken: 9.51 seconds 
Epoch: 143/200 Train accuracy: 2.32880e-01 Validation accuracy: 2.09000e-01 Loss 3.44688e-02 Validation Loss 3.49512e-02 Time taken: 9.28 seconds 
Epoch: 144/200 Train accuracy: 2.33180e-01 Validation accuracy: 2.07800e-01 Loss 3.44658e-02 Validation Loss 3.49513e-02 Time taken: 9.23 seconds 
Epoch: 145/200 Train accuracy: 2.33120e-01 Validation accuracy: 2.09100e-01 Loss 3.44670e-02 Validation Loss 3.49501e-02 Time taken: 9.72 seconds 
Epoch: 146/200 Train accuracy: 2.32800e-01 Validation accuracy: 2.10900e-01 Loss 3.44643e-02 Validation Loss 3.49485e-02 Time taken: 9.39 seconds 
Epoch: 147/200 Train accuracy: 2.33580e-01 Validation accuracy: 2.08800e-01 Loss 3.44635e-02 Validation Loss 3.49505e-02 Time taken: 9.69 seconds 
Epoch: 148/200 Train accuracy: 2.33580e-01 Validation accuracy: 2.10000e-01 Loss 3.44635e-02 Validation Loss 3.49481e-02 Time taken: 9.68 seconds 
Epoch: 149/200 Train accuracy: 2.33920e-01 Validation accuracy: 2.10400e-01 Loss 3.44623e-02 Validation Loss 3.49468e-02 Time taken: 9.64 seconds 
Epoch: 150/200 Train accuracy: 2.33740e-01 Validation accuracy: 2.09500e-01 Loss 3.44614e-02 Validation Loss 3.49490e-02 Time taken: 9.25 seconds 
Epoch: 151/200 Train accuracy: 2.34040e-01 Validation accuracy: 2.09700e-01 Loss 3.44607e-02 Validation Loss 3.49476e-02 Time taken: 9.28 seconds 
Epoch: 152/200 Train accuracy: 2.34200e-01 Validation accuracy: 2.11800e-01 Loss 3.44592e-02 Validation Loss 3.49450e-02 Time taken: 9.93 seconds 
Epoch: 153/200 Train accuracy: 2.34160e-01 Validation accuracy: 2.11100e-01 Loss 3.44590e-02 Validation Loss 3.49452e-02 Time taken: 9.34 seconds 
Epoch: 154/200 Train accuracy: 2.34140e-01 Validation accuracy: 2.10800e-01 Loss 3.44589e-02 Validation Loss 3.49454e-02 Time taken: 10.08 seconds 
Epoch: 155/200 Train accuracy: 2.33960e-01 Validation accuracy: 2.09700e-01 Loss 3.44577e-02 Validation Loss 3.49471e-02 Time taken: 9.74 seconds 
Epoch: 156/200 Train accuracy: 2.34340e-01 Validation accuracy: 2.09000e-01 Loss 3.44572e-02 Validation Loss 3.49421e-02 Time taken: 9.77 seconds 
Epoch: 157/200 Train accuracy: 2.34380e-01 Validation accuracy: 2.10400e-01 Loss 3.44567e-02 Validation Loss 3.49453e-02 Time taken: 9.87 seconds 
Epoch: 158/200 Train accuracy: 2.34840e-01 Validation accuracy: 2.09900e-01 Loss 3.44557e-02 Validation Loss 3.49441e-02 Time taken: 10.04 seconds 
Epoch: 159/200 Train accuracy: 2.34960e-01 Validation accuracy: 2.11400e-01 Loss 3.44539e-02 Validation Loss 3.49432e-02 Time taken: 9.51 seconds 
Epoch: 160/200 Train accuracy: 2.34860e-01 Validation accuracy: 2.09200e-01 Loss 3.44539e-02 Validation Loss 3.49435e-02 Time taken: 9.91 seconds 
Epoch: 161/200 Train accuracy: 2.34880e-01 Validation accuracy: 2.10700e-01 Loss 3.44528e-02 Validation Loss 3.49448e-02 Time taken: 9.12 seconds 
Epoch: 162/200 Train accuracy: 2.35400e-01 Validation accuracy: 2.11000e-01 Loss 3.44521e-02 Validation Loss 3.49408e-02 Time taken: 9.12 seconds 
Epoch: 163/200 Train accuracy: 2.34960e-01 Validation accuracy: 2.10000e-01 Loss 3.44523e-02 Validation Loss 3.49427e-02 Time taken: 9.36 seconds 
Epoch: 164/200 Train accuracy: 2.35920e-01 Validation accuracy: 2.10300e-01 Loss 3.44516e-02 Validation Loss 3.49425e-02 Time taken: 9.21 seconds 
Epoch: 165/200 Train accuracy: 2.35180e-01 Validation accuracy: 2.10200e-01 Loss 3.44502e-02 Validation Loss 3.49401e-02 Time taken: 9.83 seconds 
Epoch: 166/200 Train accuracy: 2.35540e-01 Validation accuracy: 2.10600e-01 Loss 3.44502e-02 Validation Loss 3.49409e-02 Time taken: 9.94 seconds 
Epoch: 167/200 Train accuracy: 2.35700e-01 Validation accuracy: 2.11100e-01 Loss 3.44498e-02 Validation Loss 3.49392e-02 Time taken: 9.90 seconds 
Epoch: 168/200 Train accuracy: 2.35220e-01 Validation accuracy: 2.10600e-01 Loss 3.44479e-02 Validation Loss 3.49407e-02 Time taken: 9.73 seconds 
Epoch: 169/200 Train accuracy: 2.35380e-01 Validation accuracy: 2.12200e-01 Loss 3.44472e-02 Validation Loss 3.49379e-02 Time taken: 9.56 seconds 
Epoch: 170/200 Train accuracy: 2.35700e-01 Validation accuracy: 2.10600e-01 Loss 3.44467e-02 Validation Loss 3.49396e-02 Time taken: 8.43 seconds 
Epoch: 171/200 Train accuracy: 2.36360e-01 Validation accuracy: 2.11000e-01 Loss 3.44459e-02 Validation Loss 3.49375e-02 Time taken: 7.12 seconds 
Epoch: 172/200 Train accuracy: 2.36460e-01 Validation accuracy: 2.10500e-01 Loss 3.44460e-02 Validation Loss 3.49372e-02 Time taken: 7.12 seconds 
Epoch: 173/200 Train accuracy: 2.35440e-01 Validation accuracy: 2.11400e-01 Loss 3.44450e-02 Validation Loss 3.49377e-02 Time taken: 7.10 seconds 
Epoch: 174/200 Train accuracy: 2.36700e-01 Validation accuracy: 2.12500e-01 Loss 3.44436e-02 Validation Loss 3.49359e-02 Time taken: 7.06 seconds 
Epoch: 175/200 Train accuracy: 2.36020e-01 Validation accuracy: 2.14000e-01 Loss 3.44440e-02 Validation Loss 3.49375e-02 Time taken: 7.12 seconds 
Epoch: 176/200 Train accuracy: 2.36400e-01 Validation accuracy: 2.12400e-01 Loss 3.44432e-02 Validation Loss 3.49370e-02 Time taken: 7.12 seconds 
Epoch: 177/200 Train accuracy: 2.37160e-01 Validation accuracy: 2.11900e-01 Loss 3.44422e-02 Validation Loss 3.49363e-02 Time taken: 7.14 seconds 
Epoch: 178/200 Train accuracy: 2.35920e-01 Validation accuracy: 2.11800e-01 Loss 3.44413e-02 Validation Loss 3.49361e-02 Time taken: 7.15 seconds 
Epoch: 179/200 Train accuracy: 2.36380e-01 Validation accuracy: 2.10700e-01 Loss 3.44410e-02 Validation Loss 3.49337e-02 Time taken: 7.08 seconds 
Epoch: 180/200 Train accuracy: 2.36860e-01 Validation accuracy: 2.11200e-01 Loss 3.44401e-02 Validation Loss 3.49356e-02 Time taken: 7.10 seconds 
Epoch: 181/200 Train accuracy: 2.36880e-01 Validation accuracy: 2.11100e-01 Loss 3.44392e-02 Validation Loss 3.49378e-02 Time taken: 7.14 seconds 
Epoch: 182/200 Train accuracy: 2.37060e-01 Validation accuracy: 2.10800e-01 Loss 3.44397e-02 Validation Loss 3.49358e-02 Time taken: 7.13 seconds 
Epoch: 183/200 Train accuracy: 2.36660e-01 Validation accuracy: 2.11100e-01 Loss 3.44389e-02 Validation Loss 3.49376e-02 Time taken: 7.09 seconds 
Epoch: 184/200 Train accuracy: 2.37060e-01 Validation accuracy: 2.12100e-01 Loss 3.44381e-02 Validation Loss 3.49347e-02 Time taken: 7.17 seconds 
Epoch: 185/200 Train accuracy: 2.36860e-01 Validation accuracy: 2.12100e-01 Loss 3.44364e-02 Validation Loss 3.49345e-02 Time taken: 7.10 seconds 
Epoch: 186/200 Train accuracy: 2.37100e-01 Validation accuracy: 2.12300e-01 Loss 3.44364e-02 Validation Loss 3.49363e-02 Time taken: 7.08 seconds 
Epoch: 187/200 Train accuracy: 2.36960e-01 Validation accuracy: 2.12800e-01 Loss 3.44370e-02 Validation Loss 3.49310e-02 Time taken: 7.12 seconds 
Epoch: 188/200 Train accuracy: 2.37380e-01 Validation accuracy: 2.10900e-01 Loss 3.44356e-02 Validation Loss 3.49324e-02 Time taken: 7.12 seconds 
Epoch: 189/200 Train accuracy: 2.37960e-01 Validation accuracy: 2.12400e-01 Loss 3.44354e-02 Validation Loss 3.49341e-02 Time taken: 7.08 seconds 
Epoch: 190/200 Train accuracy: 2.37760e-01 Validation accuracy: 2.10900e-01 Loss 3.44336e-02 Validation Loss 3.49303e-02 Time taken: 7.16 seconds 
Epoch: 191/200 Train accuracy: 2.37280e-01 Validation accuracy: 2.12500e-01 Loss 3.44343e-02 Validation Loss 3.49334e-02 Time taken: 7.11 seconds 
Epoch: 192/200 Train accuracy: 2.37820e-01 Validation accuracy: 2.12100e-01 Loss 3.44340e-02 Validation Loss 3.49299e-02 Time taken: 7.14 seconds 
Epoch: 193/200 Train accuracy: 2.38080e-01 Validation accuracy: 2.10900e-01 Loss 3.44337e-02 Validation Loss 3.49322e-02 Time taken: 7.16 seconds 
Epoch: 194/200 Train accuracy: 2.38280e-01 Validation accuracy: 2.12100e-01 Loss 3.44325e-02 Validation Loss 3.49297e-02 Time taken: 7.10 seconds 
Epoch: 195/200 Train accuracy: 2.37180e-01 Validation accuracy: 2.11500e-01 Loss 3.44333e-02 Validation Loss 3.49277e-02 Time taken: 7.10 seconds 
Epoch: 196/200 Train accuracy: 2.37900e-01 Validation accuracy: 2.12400e-01 Loss 3.44316e-02 Validation Loss 3.49284e-02 Time taken: 7.15 seconds 
Epoch: 197/200 Train accuracy: 2.38220e-01 Validation accuracy: 2.12100e-01 Loss 3.44311e-02 Validation Loss 3.49307e-02 Time taken: 7.10 seconds 
Epoch: 198/200 Train accuracy: 2.38520e-01 Validation accuracy: 2.11500e-01 Loss 3.44301e-02 Validation Loss 3.49306e-02 Time taken: 7.06 seconds 
Epoch: 199/200 Train accuracy: 2.38340e-01 Validation accuracy: 2.10700e-01 Loss 3.44305e-02 Validation Loss 3.49320e-02 Time taken: 7.16 seconds 
Epoch: 200/200 Train accuracy: 2.38400e-01 Validation accuracy: 2.11100e-01 Loss 3.44295e-02 Validation Loss 3.49307e-02 Time taken: 7.07 seconds 
Total time taken 0:30:37.013931
Cleaning up intermediate feature (.pt) files
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