Number of GPUs: 4
Namespace(aux=True, aux_weight=0.5, backbone='resnet101', batch_size=16, checkname='aug21', ctx=[gpu(0), gpu(1), gpu(2), gpu(3)], dataset='pascal_voc', dtype='float32', epochs=50, eval=False, kvstore='device', lr=0.0001, model='deeplab', model_zoo=None, momentum=0.9, ngpus=4, no_cuda=False, norm_kwargs={'num_devices': 4}, norm_layer=<class 'mxnet.gluon.contrib.nn.basic_layers.SyncBatchNorm'>, resume='runs/pascal_aug/deeplab/aug21/checkpoint.params', start_epoch=0, syncbn=True, test_batch_size=16, weight_decay=0.0001, workers=16)
DeepLabV3(
  (conv1): HybridSequential(
    (0): Conv2D(3 -> 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
    (1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_syncbatchnorm0_', in_channels=64)
    (2): Activation(relu)
    (3): Conv2D(64 -> 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
    (4): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_syncbatchnorm1_', in_channels=64)
    (5): Activation(relu)
    (6): Conv2D(64 -> 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  )
  (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_syncbatchnorm2_', in_channels=128)
  (relu): Activation(relu)
  (maxpool): MaxPool2D(size=(3, 3), stride=(2, 2), padding=(1, 1), ceil_mode=False)
  (layer1): HybridSequential(
    (0): BottleneckV1b(
      (conv1): Conv2D(128 -> 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers1_syncbatchnorm0_', in_channels=64)
      (conv2): Conv2D(64 -> 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers1_syncbatchnorm1_', in_channels=64)
      (conv3): Conv2D(64 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers1_syncbatchnorm2_', in_channels=256)
      (relu): Activation(relu)
      (downsample): HybridSequential(
        (0): Conv2D(128 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_down1_syncbatchnorm0_', in_channels=256)
      )
    )
    (1): BottleneckV1b(
      (conv1): Conv2D(256 -> 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers1_syncbatchnorm3_', in_channels=64)
      (conv2): Conv2D(64 -> 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers1_syncbatchnorm4_', in_channels=64)
      (conv3): Conv2D(64 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers1_syncbatchnorm5_', in_channels=256)
      (relu): Activation(relu)
    )
    (2): BottleneckV1b(
      (conv1): Conv2D(256 -> 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers1_syncbatchnorm6_', in_channels=64)
      (conv2): Conv2D(64 -> 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers1_syncbatchnorm7_', in_channels=64)
      (conv3): Conv2D(64 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers1_syncbatchnorm8_', in_channels=256)
      (relu): Activation(relu)
    )
  )
  (layer2): HybridSequential(
    (0): BottleneckV1b(
      (conv1): Conv2D(256 -> 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers2_syncbatchnorm0_', in_channels=128)
      (conv2): Conv2D(128 -> 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers2_syncbatchnorm1_', in_channels=128)
      (conv3): Conv2D(128 -> 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers2_syncbatchnorm2_', in_channels=512)
      (relu): Activation(relu)
      (downsample): HybridSequential(
        (0): Conv2D(256 -> 512, kernel_size=(1, 1), stride=(2, 2), bias=False)
        (1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_down2_syncbatchnorm0_', in_channels=512)
      )
    )
    (1): BottleneckV1b(
      (conv1): Conv2D(512 -> 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers2_syncbatchnorm3_', in_channels=128)
      (conv2): Conv2D(128 -> 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers2_syncbatchnorm4_', in_channels=128)
      (conv3): Conv2D(128 -> 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers2_syncbatchnorm5_', in_channels=512)
      (relu): Activation(relu)
    )
    (2): BottleneckV1b(
      (conv1): Conv2D(512 -> 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers2_syncbatchnorm6_', in_channels=128)
      (conv2): Conv2D(128 -> 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers2_syncbatchnorm7_', in_channels=128)
      (conv3): Conv2D(128 -> 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers2_syncbatchnorm8_', in_channels=512)
      (relu): Activation(relu)
    )
    (3): BottleneckV1b(
      (conv1): Conv2D(512 -> 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers2_syncbatchnorm9_', in_channels=128)
      (conv2): Conv2D(128 -> 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers2_syncbatchnorm10_', in_channels=128)
      (conv3): Conv2D(128 -> 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers2_syncbatchnorm11_', in_channels=512)
      (relu): Activation(relu)
    )
  )
  (layer3): HybridSequential(
    (0): BottleneckV1b(
      (conv1): Conv2D(512 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm0_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm1_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm2_', in_channels=1024)
      (relu): Activation(relu)
      (downsample): HybridSequential(
        (0): Conv2D(512 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_down3_syncbatchnorm0_', in_channels=1024)
      )
    )
    (1): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm3_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm4_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm5_', in_channels=1024)
      (relu): Activation(relu)
    )
    (2): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm6_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm7_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm8_', in_channels=1024)
      (relu): Activation(relu)
    )
    (3): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm9_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm10_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm11_', in_channels=1024)
      (relu): Activation(relu)
    )
    (4): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm12_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm13_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm14_', in_channels=1024)
      (relu): Activation(relu)
    )
    (5): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm15_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm16_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm17_', in_channels=1024)
      (relu): Activation(relu)
    )
    (6): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm18_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm19_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm20_', in_channels=1024)
      (relu): Activation(relu)
    )
    (7): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm21_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm22_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm23_', in_channels=1024)
      (relu): Activation(relu)
    )
    (8): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm24_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm25_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm26_', in_channels=1024)
      (relu): Activation(relu)
    )
    (9): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm27_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm28_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm29_', in_channels=1024)
      (relu): Activation(relu)
    )
    (10): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm30_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm31_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm32_', in_channels=1024)
      (relu): Activation(relu)
    )
    (11): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm33_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm34_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm35_', in_channels=1024)
      (relu): Activation(relu)
    )
    (12): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm36_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm37_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm38_', in_channels=1024)
      (relu): Activation(relu)
    )
    (13): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm39_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm40_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm41_', in_channels=1024)
      (relu): Activation(relu)
    )
    (14): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm42_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm43_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm44_', in_channels=1024)
      (relu): Activation(relu)
    )
    (15): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm45_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm46_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm47_', in_channels=1024)
      (relu): Activation(relu)
    )
    (16): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm48_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm49_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm50_', in_channels=1024)
      (relu): Activation(relu)
    )
    (17): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm51_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm52_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm53_', in_channels=1024)
      (relu): Activation(relu)
    )
    (18): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm54_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm55_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm56_', in_channels=1024)
      (relu): Activation(relu)
    )
    (19): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm57_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm58_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm59_', in_channels=1024)
      (relu): Activation(relu)
    )
    (20): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm60_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm61_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm62_', in_channels=1024)
      (relu): Activation(relu)
    )
    (21): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm63_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm64_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm65_', in_channels=1024)
      (relu): Activation(relu)
    )
    (22): BottleneckV1b(
      (conv1): Conv2D(1024 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm66_', in_channels=256)
      (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm67_', in_channels=256)
      (conv3): Conv2D(256 -> 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers3_syncbatchnorm68_', in_channels=1024)
      (relu): Activation(relu)
    )
  )
  (layer4): HybridSequential(
    (0): BottleneckV1b(
      (conv1): Conv2D(1024 -> 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers4_syncbatchnorm0_', in_channels=512)
      (conv2): Conv2D(512 -> 512, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers4_syncbatchnorm1_', in_channels=512)
      (conv3): Conv2D(512 -> 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers4_syncbatchnorm2_', in_channels=2048)
      (relu): Activation(relu)
      (downsample): HybridSequential(
        (0): Conv2D(1024 -> 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_down4_syncbatchnorm0_', in_channels=2048)
      )
    )
    (1): BottleneckV1b(
      (conv1): Conv2D(2048 -> 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers4_syncbatchnorm3_', in_channels=512)
      (conv2): Conv2D(512 -> 512, kernel_size=(3, 3), stride=(1, 1), padding=(4, 4), dilation=(4, 4), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers4_syncbatchnorm4_', in_channels=512)
      (conv3): Conv2D(512 -> 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers4_syncbatchnorm5_', in_channels=2048)
      (relu): Activation(relu)
    )
    (2): BottleneckV1b(
      (conv1): Conv2D(2048 -> 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers4_syncbatchnorm6_', in_channels=512)
      (conv2): Conv2D(512 -> 512, kernel_size=(3, 3), stride=(1, 1), padding=(4, 4), dilation=(4, 4), bias=False)
      (bn2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers4_syncbatchnorm7_', in_channels=512)
      (conv3): Conv2D(512 -> 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
      (bn3): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30_resnetv1b0_layers4_syncbatchnorm8_', in_channels=2048)
      (relu): Activation(relu)
    )
  )
  (head): _DeepLabHead(
    (aspp): _ASPP(
      (concurent): HybridConcurrent(
        (0): HybridSequential(
          (0): Conv2D(2048 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30__deeplabhead0_hybridsequential0_syncbatchnorm0_', in_channels=256)
          (2): Activation(relu)
        )
        (1): HybridSequential(
          (0): Conv2D(2048 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(12, 12), dilation=(12, 12), bias=False)
          (1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30__deeplabhead0_hybridsequential1_syncbatchnorm0_', in_channels=256)
          (2): Activation(relu)
        )
        (2): HybridSequential(
          (0): Conv2D(2048 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(24, 24), dilation=(24, 24), bias=False)
          (1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30__deeplabhead0_hybridsequential2_syncbatchnorm0_', in_channels=256)
          (2): Activation(relu)
        )
        (3): HybridSequential(
          (0): Conv2D(2048 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(36, 36), dilation=(36, 36), bias=False)
          (1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30__deeplabhead0_hybridsequential3_syncbatchnorm0_', in_channels=256)
          (2): Activation(relu)
        )
        (4): _AsppPooling(
          (gap): HybridSequential(
            (0): GlobalAvgPool2D(size=(1, 1), stride=(1, 1), padding=(0, 0), ceil_mode=True)
            (1): Conv2D(2048 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
            (2): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30__deeplabhead0_hybridsequential4_syncbatchnorm0_', in_channels=256)
            (3): Activation(relu)
          )
        )
      )
      (project): HybridSequential(
        (0): Conv2D(1280 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30__deeplabhead0_hybridsequential5_syncbatchnorm0_', in_channels=256)
        (2): Activation(relu)
        (3): Dropout(p = 0.5, axes=())
      )
    )
    (block): HybridSequential(
      (0): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30__deeplabhead0_syncbatchnorm0_', in_channels=256)
      (2): Activation(relu)
      (3): Dropout(p = 0.1, axes=())
      (4): Conv2D(256 -> 21, kernel_size=(1, 1), stride=(1, 1))
    )
  )
  (auxlayer): _FCNHead(
    (block): HybridSequential(
      (0): Conv2D(1024 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (1): SyncBatchNorm(eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, ndev=4, key='deeplabv30__fcnhead0_hybridsequential0_syncbatchnorm0_', in_channels=256)
      (2): Activation(relu)
      (3): Dropout(p = 0.1, axes=())
      (4): Conv2D(256 -> 21, kernel_size=(1, 1), stride=(1, 1))
    )
  )
)/home/ubuntu/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
/home/ubuntu/git/incubator-mxnet/python/mxnet/gluon/block.py:420: UserWarning: load_params is deprecated. Please use load_parameters.
  warnings.warn("load_params is deprecated. Please use load_parameters.")

  0%|          | 0/182 [00:00<?, ?it/s]
Starting Epoch: 0
Total Epoches: 50
[18:02:29] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:109: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)

Epoch 0, training loss 0.088:   0%|          | 0/182 [00:19<?, ?it/s]
Epoch 0, training loss 0.088:   1%|          | 1/182 [00:20<1:00:22, 20.02s/it]
Epoch 0, training loss 0.079:   1%|          | 1/182 [00:21<1:03:27, 21.03s/it]
Epoch 0, training loss 0.079:   1%|          | 2/182 [00:21<32:21, 10.78s/it]  
Epoch 0, training loss 0.201:   1%|          | 2/182 [00:22<33:17, 11.10s/it]
Epoch 0, training loss 0.201:   2%|▏         | 3/182 [00:22<22:35,  7.57s/it]
Epoch 0, training loss 0.165:   2%|▏         | 3/182 [00:23<23:10,  7.77s/it]
Epoch 0, training loss 0.165:   2%|▏         | 4/182 [00:23<17:39,  5.95s/it]
Epoch 0, training loss 0.185:   2%|▏         | 4/182 [00:24<18:05,  6.10s/it]
Epoch 0, training loss 0.185:   3%|▎         | 5/182 [00:24<14:41,  4.98s/it]
Epoch 0, training loss 0.166:   3%|▎         | 5/182 [00:25<15:01,  5.09s/it]
Epoch 0, training loss 0.166:   3%|▎         | 6/182 [00:25<12:41,  4.33s/it]
Epoch 0, training loss 0.183:   3%|▎         | 6/182 [00:26<13:01,  4.44s/it]
Epoch 0, training loss 0.183:   4%|▍         | 7/182 [00:27<11:17,  3.87s/it]
Epoch 0, training loss 0.166:   4%|▍         | 7/182 [00:27<11:34,  3.97s/it]
Epoch 0, training loss 0.166:   4%|▍         | 8/182 [00:28<10:14,  3.53s/it]
Epoch 0, training loss 0.166:   4%|▍         | 8/182 [00:28<10:27,  3.61s/it]
Epoch 0, training loss 0.166:   5%|▍         | 9/182 [00:29<09:24,  3.26s/it]
Epoch 0, training loss 0.162:   5%|▍         | 9/182 [00:29<09:36,  3.33s/it]
Epoch 0, training loss 0.162:   5%|▌         | 10/182 [00:30<08:43,  3.05s/it]
Epoch 0, training loss 0.187:   5%|▌         | 10/182 [00:31<08:55,  3.11s/it]
Epoch 0, training loss 0.187:   6%|▌         | 11/182 [00:31<08:11,  2.87s/it]
Epoch 0, training loss 0.176:   6%|▌         | 11/182 [00:32<08:21,  2.93s/it]
Epoch 0, training loss 0.176:   7%|▋         | 12/182 [00:32<07:43,  2.73s/it]
Epoch 0, training loss 0.171:   7%|▋         | 12/182 [00:33<07:51,  2.77s/it]
Epoch 0, training loss 0.171:   7%|▋         | 13/182 [00:33<07:18,  2.60s/it]
Epoch 0, training loss 0.264:   7%|▋         | 13/182 [00:34<07:26,  2.64s/it]
Epoch 0, training loss 0.264:   8%|▊         | 14/182 [00:34<06:58,  2.49s/it]
Epoch 0, training loss 0.249:   8%|▊         | 14/182 [00:35<07:05,  2.53s/it]
Epoch 0, training loss 0.249:   8%|▊         | 15/182 [00:35<06:40,  2.40s/it]
Epoch 0, training loss 0.246:   8%|▊         | 15/182 [00:36<06:46,  2.44s/it]
Epoch 0, training loss 0.246:   9%|▉         | 16/182 [00:37<06:24,  2.31s/it]
Epoch 0, training loss 0.236:   9%|▉         | 16/182 [00:37<06:31,  2.36s/it]
Epoch 0, training loss 0.236:   9%|▉         | 17/182 [00:38<06:10,  2.25s/it]
Epoch 0, training loss 0.227:   9%|▉         | 17/182 [00:38<06:16,  2.28s/it]
Epoch 0, training loss 0.227:  10%|▉         | 18/182 [00:39<05:57,  2.18s/it]
Epoch 0, training loss 0.229:  10%|▉         | 18/182 [00:39<06:03,  2.21s/it]
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Epoch 0, training loss 0.222:  10%|█         | 19/182 [00:40<05:51,  2.16s/it]
Epoch 0, training loss 0.222:  11%|█         | 20/182 [00:41<05:35,  2.07s/it]
Epoch 0, training loss 0.228:  11%|█         | 20/182 [00:42<05:40,  2.10s/it]
Epoch 0, training loss 0.228:  12%|█▏        | 21/182 [00:42<05:26,  2.03s/it]
Epoch 0, training loss 0.220:  12%|█▏        | 21/182 [00:43<05:31,  2.06s/it]
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Epoch 0, training loss 0.227:  13%|█▎        | 23/182 [00:44<05:10,  1.95s/it]
Epoch 0, training loss 0.218:  13%|█▎        | 23/182 [00:45<05:14,  1.98s/it]
Epoch 0, training loss 0.218:  13%|█▎        | 24/182 [00:45<05:02,  1.91s/it]
Epoch 0, training loss 0.238:  13%|█▎        | 24/182 [00:46<05:05,  1.94s/it]
Epoch 0, training loss 0.238:  14%|█▎        | 25/182 [00:46<04:54,  1.88s/it]
Epoch 0, training loss 0.237:  14%|█▎        | 25/182 [00:47<04:58,  1.90s/it]
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Epoch 0, training loss 0.234:  14%|█▍        | 26/182 [00:48<04:51,  1.87s/it]
Epoch 0, training loss 0.234:  15%|█▍        | 27/182 [00:49<04:41,  1.82s/it]
Epoch 0, training loss 0.230:  15%|█▍        | 27/182 [00:49<04:44,  1.84s/it]
Epoch 0, training loss 0.230:  15%|█▌        | 28/182 [00:50<04:35,  1.79s/it]
Epoch 0, training loss 0.224:  15%|█▌        | 28/182 [00:50<04:38,  1.81s/it]
Epoch 0, training loss 0.224:  16%|█▌        | 29/182 [00:51<04:29,  1.76s/it]
Epoch 0, training loss 0.220:  16%|█▌        | 29/182 [00:51<04:32,  1.78s/it]
Epoch 0, training loss 0.220:  16%|█▋        | 30/182 [00:52<04:24,  1.74s/it]
Epoch 0, training loss 0.214:  16%|█▋        | 30/182 [00:52<04:27,  1.76s/it]
Epoch 0, training loss 0.214:  17%|█▋        | 31/182 [00:53<04:19,  1.72s/it]
Epoch 0, training loss 0.216:  17%|█▋        | 31/182 [00:53<04:22,  1.74s/it]
Epoch 0, training loss 0.216:  18%|█▊        | 32/182 [00:54<04:14,  1.70s/it]
Epoch 0, training loss 0.215:  18%|█▊        | 32/182 [00:54<04:17,  1.72s/it]
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Epoch 0, training loss 0.210:  18%|█▊        | 33/182 [00:56<04:12,  1.70s/it]
Epoch 0, training loss 0.210:  19%|█▊        | 34/182 [00:56<04:05,  1.66s/it]
Epoch 0, training loss 0.205:  19%|█▊        | 34/182 [00:57<04:08,  1.68s/it]
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Epoch 0, training loss 0.201:  19%|█▉        | 35/182 [00:58<04:04,  1.66s/it]
Epoch 0, training loss 0.201:  20%|█▉        | 36/182 [00:58<03:58,  1.63s/it]
Epoch 0, training loss 0.207:  20%|█▉        | 36/182 [00:59<04:00,  1.65s/it]
Epoch 0, training loss 0.207:  20%|██        | 37/182 [00:59<03:54,  1.62s/it]
Epoch 0, training loss 0.204:  20%|██        | 37/182 [01:00<03:56,  1.63s/it]
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Epoch 0, training loss 0.202:  21%|██        | 38/182 [01:01<03:52,  1.62s/it]
Epoch 0, training loss 0.202:  21%|██▏       | 39/182 [01:01<03:47,  1.59s/it]
Epoch 0, training loss 0.199:  21%|██▏       | 39/182 [01:02<03:49,  1.60s/it]
Epoch 0, training loss 0.199:  22%|██▏       | 40/182 [01:03<03:43,  1.58s/it]
Epoch 0, training loss 0.197:  22%|██▏       | 40/182 [01:03<03:46,  1.59s/it]
Epoch 0, training loss 0.197:  23%|██▎       | 41/182 [01:04<03:40,  1.56s/it]
Epoch 0, training loss 0.204:  23%|██▎       | 41/182 [01:04<03:42,  1.58s/it]
Epoch 0, training loss 0.204:  23%|██▎       | 42/182 [01:05<03:37,  1.55s/it]
Epoch 0, training loss 0.202:  23%|██▎       | 42/182 [01:05<03:39,  1.57s/it]
Epoch 0, training loss 0.202:  24%|██▎       | 43/182 [01:06<03:34,  1.54s/it]
Epoch 0, training loss 0.202:  24%|██▎       | 43/182 [01:06<03:36,  1.56s/it]
Epoch 0, training loss 0.202:  24%|██▍       | 44/182 [01:07<03:31,  1.53s/it]
Epoch 0, training loss 0.206:  24%|██▍       | 44/182 [01:08<03:33,  1.55s/it]
Epoch 0, training loss 0.206:  25%|██▍       | 45/182 [01:08<03:28,  1.52s/it]
Epoch 0, training loss 0.202:  25%|██▍       | 45/182 [01:09<03:30,  1.54s/it]
Epoch 0, training loss 0.202:  25%|██▌       | 46/182 [01:09<03:26,  1.52s/it]
Epoch 0, training loss 0.199:  25%|██▌       | 46/182 [01:10<03:28,  1.53s/it]
Epoch 0, training loss 0.199:  26%|██▌       | 47/182 [01:10<03:23,  1.51s/it]
Epoch 0, training loss 0.197:  26%|██▌       | 47/182 [01:11<03:26,  1.53s/it]
Epoch 0, training loss 0.197:  26%|██▋       | 48/182 [01:12<03:21,  1.51s/it]
Epoch 0, training loss 0.194:  26%|██▋       | 48/182 [01:12<03:23,  1.52s/it]
Epoch 0, training loss 0.194:  27%|██▋       | 49/182 [01:13<03:19,  1.50s/it]
Epoch 0, training loss 0.192:  27%|██▋       | 49/182 [01:14<03:22,  1.53s/it]
Epoch 0, training loss 0.192:  27%|██▋       | 50/182 [01:15<03:18,  1.51s/it]
Epoch 0, training loss 0.190:  27%|██▋       | 50/182 [01:16<03:21,  1.53s/it]
Epoch 0, training loss 0.190:  28%|██▊       | 51/182 [01:16<03:17,  1.51s/it]
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Epoch 0, training loss 0.192:  29%|██▊       | 52/182 [01:18<03:15,  1.50s/it]
Epoch 0, training loss 0.189:  29%|██▊       | 52/182 [01:18<03:16,  1.51s/it]
Epoch 0, training loss 0.189:  29%|██▉       | 53/182 [01:19<03:12,  1.49s/it]
Epoch 0, training loss 0.187:  29%|██▉       | 53/182 [01:19<03:14,  1.51s/it]
Epoch 0, training loss 0.187:  30%|██▉       | 54/182 [01:20<03:10,  1.49s/it]
Epoch 0, training loss 0.190:  30%|██▉       | 54/182 [01:21<03:12,  1.50s/it]
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Epoch 0, training loss 0.189:  30%|███       | 55/182 [01:22<03:09,  1.49s/it]
Epoch 0, training loss 0.189:  31%|███       | 56/182 [01:22<03:05,  1.47s/it]
Epoch 0, training loss 0.186:  31%|███       | 56/182 [01:23<03:07,  1.49s/it]
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Epoch 0, training loss 0.184:  31%|███▏      | 57/182 [01:24<03:04,  1.48s/it]
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Epoch 0, training loss 0.183:  32%|███▏      | 58/182 [01:25<03:02,  1.47s/it]
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Epoch 0, training loss 0.181:  32%|███▏      | 59/182 [01:26<03:00,  1.47s/it]
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Epoch 0, training loss 0.178:  33%|███▎      | 60/182 [01:27<02:58,  1.46s/it]
Epoch 0, training loss 0.178:  34%|███▎      | 61/182 [01:28<02:54,  1.44s/it]
Epoch 0, training loss 0.180:  34%|███▎      | 61/182 [01:28<02:55,  1.45s/it]
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Epoch 0, training loss 0.178:  35%|███▍      | 63/182 [01:30<02:50,  1.43s/it]
Epoch 0, training loss 0.177:  35%|███▍      | 63/182 [01:30<02:51,  1.44s/it]
Epoch 0, training loss 0.177:  35%|███▌      | 64/182 [01:31<02:48,  1.43s/it]
Epoch 0, training loss 0.175:  35%|███▌      | 64/182 [01:32<02:49,  1.44s/it]
Epoch 0, training loss 0.175:  36%|███▌      | 65/182 [01:32<02:46,  1.42s/it]
Epoch 0, training loss 0.174:  36%|███▌      | 65/182 [01:33<02:47,  1.43s/it]
Epoch 0, training loss 0.174:  36%|███▋      | 66/182 [01:33<02:44,  1.42s/it]
Epoch 0, training loss 0.173:  36%|███▋      | 66/182 [01:34<02:45,  1.43s/it]
Epoch 0, training loss 0.173:  37%|███▋      | 67/182 [01:34<02:42,  1.41s/it]
Epoch 0, training loss 0.172:  37%|███▋      | 67/182 [01:35<02:43,  1.42s/it]
Epoch 0, training loss 0.172:  37%|███▋      | 68/182 [01:35<02:40,  1.41s/it]
Epoch 0, training loss 0.173:  37%|███▋      | 68/182 [01:36<02:41,  1.42s/it]
Epoch 0, training loss 0.173:  38%|███▊      | 69/182 [01:37<02:38,  1.41s/it]
Epoch 0, training loss 0.173:  38%|███▊      | 69/182 [01:37<02:39,  1.41s/it]
Epoch 0, training loss 0.173:  38%|███▊      | 70/182 [01:38<02:36,  1.40s/it]
Epoch 0, training loss 0.172:  38%|███▊      | 70/182 [01:38<02:37,  1.41s/it]
Epoch 0, training loss 0.172:  39%|███▉      | 71/182 [01:39<02:35,  1.40s/it]
Epoch 0, training loss 0.172:  39%|███▉      | 71/182 [01:39<02:35,  1.40s/it]
Epoch 0, training loss 0.172:  40%|███▉      | 72/182 [01:40<02:33,  1.39s/it]
Epoch 0, training loss 0.170:  40%|███▉      | 72/182 [01:40<02:33,  1.40s/it]
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Epoch 0, training loss 0.170:  40%|████      | 73/182 [01:41<02:32,  1.39s/it]
Epoch 0, training loss 0.170:  41%|████      | 74/182 [01:42<02:29,  1.38s/it]
Epoch 0, training loss 0.168:  41%|████      | 74/182 [01:42<02:30,  1.39s/it]
Epoch 0, training loss 0.168:  41%|████      | 75/182 [01:43<02:27,  1.38s/it]
Epoch 0, training loss 0.174:  41%|████      | 75/182 [01:44<02:28,  1.39s/it]
Epoch 0, training loss 0.174:  42%|████▏     | 76/182 [01:44<02:25,  1.38s/it]
Epoch 0, training loss 0.174:  42%|████▏     | 76/182 [01:45<02:26,  1.38s/it]
Epoch 0, training loss 0.174:  42%|████▏     | 77/182 [01:45<02:24,  1.37s/it]
Epoch 0, training loss 0.179:  42%|████▏     | 77/182 [01:46<02:24,  1.38s/it]
Epoch 0, training loss 0.179:  43%|████▎     | 78/182 [01:46<02:22,  1.37s/it]
Epoch 0, training loss 0.178:  43%|████▎     | 78/182 [01:47<02:23,  1.38s/it]
Epoch 0, training loss 0.178:  43%|████▎     | 79/182 [01:47<02:20,  1.36s/it]
Epoch 0, training loss 0.178:  43%|████▎     | 79/182 [01:48<02:21,  1.37s/it]
Epoch 0, training loss 0.178:  44%|████▍     | 80/182 [01:48<02:18,  1.36s/it]
Epoch 0, training loss 0.188:  44%|████▍     | 80/182 [01:49<02:19,  1.37s/it]
Epoch 0, training loss 0.188:  45%|████▍     | 81/182 [01:49<02:17,  1.36s/it]
Epoch 0, training loss 0.186:  45%|████▍     | 81/182 [01:50<02:17,  1.37s/it]
Epoch 0, training loss 0.186:  45%|████▌     | 82/182 [01:51<02:15,  1.36s/it]
Epoch 0, training loss 0.185:  45%|████▌     | 82/182 [01:51<02:16,  1.36s/it]
Epoch 0, training loss 0.185:  46%|████▌     | 83/182 [01:52<02:13,  1.35s/it]
Epoch 0, training loss 0.183:  46%|████▌     | 83/182 [01:52<02:14,  1.36s/it]
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Epoch 0, training loss 0.184:  46%|████▌     | 84/182 [01:53<02:12,  1.36s/it]
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Epoch 0, training loss 0.187:  47%|████▋     | 85/182 [01:54<02:11,  1.35s/it]
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Epoch 0, training loss 0.186:  49%|████▉     | 90/182 [02:00<02:03,  1.34s/it]
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Epoch 0, training loss 0.181:  52%|█████▏    | 95/182 [02:05<01:54,  1.32s/it]
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Epoch 0, training loss 0.178:  55%|█████▍    | 100/182 [02:11<01:47,  1.31s/it]
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Epoch 0, training loss 0.177:  58%|█████▊    | 105/182 [02:16<01:40,  1.30s/it]
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Epoch 0, training loss 0.182:  60%|█████▉    | 109/182 [02:21<01:34,  1.30s/it]
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Epoch 0, training loss 0.181:  60%|██████    | 110/182 [02:22<01:33,  1.30s/it]
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Epoch 0, training loss 0.181:  61%|██████    | 111/182 [02:23<01:31,  1.29s/it]
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Epoch 0, training loss 0.181:  62%|██████▏   | 113/182 [02:25<01:28,  1.29s/it]
Epoch 0, training loss 0.180:  62%|██████▏   | 113/182 [02:26<01:29,  1.29s/it]
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Epoch 0, training loss 0.180:  63%|██████▎   | 115/182 [02:27<01:26,  1.28s/it]
Epoch 0, training loss 0.180:  63%|██████▎   | 115/182 [02:28<01:26,  1.29s/it]
Epoch 0, training loss 0.180:  64%|██████▎   | 116/182 [02:29<01:24,  1.29s/it]
Epoch 0, training loss 0.181:  64%|██████▎   | 116/182 [02:30<01:25,  1.30s/it]
Epoch 0, training loss 0.181:  64%|██████▍   | 117/182 [02:30<01:23,  1.29s/it]
Epoch 0, training loss 0.180:  64%|██████▍   | 117/182 [02:31<01:24,  1.29s/it]
Epoch 0, training loss 0.180:  65%|██████▍   | 118/182 [02:32<01:22,  1.29s/it]
Epoch 0, training loss 0.180:  65%|██████▍   | 118/182 [02:32<01:22,  1.29s/it]
Epoch 0, training loss 0.180:  65%|██████▌   | 119/182 [02:33<01:21,  1.29s/it]
Epoch 0, training loss 0.186:  65%|██████▌   | 119/182 [02:33<01:21,  1.29s/it]
Epoch 0, training loss 0.186:  66%|██████▌   | 120/182 [02:34<01:19,  1.29s/it]
Epoch 0, training loss 0.186:  66%|██████▌   | 120/182 [02:34<01:20,  1.29s/it]
Epoch 0, training loss 0.186:  66%|██████▋   | 121/182 [02:35<01:18,  1.28s/it]
Epoch 0, training loss 0.186:  66%|██████▋   | 121/182 [02:36<01:18,  1.29s/it]
Epoch 0, training loss 0.186:  67%|██████▋   | 122/182 [02:36<01:16,  1.28s/it]
Epoch 0, training loss 0.187:  67%|██████▋   | 122/182 [02:37<01:17,  1.29s/it]
Epoch 0, training loss 0.187:  68%|██████▊   | 123/182 [02:37<01:15,  1.28s/it]
Epoch 0, training loss 0.186:  68%|██████▊   | 123/182 [02:38<01:15,  1.29s/it]
Epoch 0, training loss 0.186:  68%|██████▊   | 124/182 [02:38<01:14,  1.28s/it]
Epoch 0, training loss 0.189:  68%|██████▊   | 124/182 [02:39<01:14,  1.28s/it]
Epoch 0, training loss 0.189:  69%|██████▊   | 125/182 [02:39<01:12,  1.28s/it]
Epoch 0, training loss 0.189:  69%|██████▊   | 125/182 [02:40<01:13,  1.28s/it]
Epoch 0, training loss 0.189:  69%|██████▉   | 126/182 [02:40<01:11,  1.28s/it]
Epoch 0, training loss 0.187:  69%|██████▉   | 126/182 [02:41<01:11,  1.28s/it]
Epoch 0, training loss 0.187:  70%|██████▉   | 127/182 [02:42<01:10,  1.28s/it]
Epoch 0, training loss 0.186:  70%|██████▉   | 127/182 [02:42<01:10,  1.28s/it]
Epoch 0, training loss 0.186:  70%|███████   | 128/182 [02:43<01:08,  1.27s/it]
Epoch 0, training loss 0.186:  70%|███████   | 128/182 [02:43<01:09,  1.28s/it]
Epoch 0, training loss 0.186:  71%|███████   | 129/182 [02:44<01:07,  1.27s/it]
Epoch 0, training loss 0.185:  71%|███████   | 129/182 [02:44<01:07,  1.28s/it]
Epoch 0, training loss 0.185:  71%|███████▏  | 130/182 [02:45<01:06,  1.27s/it]
Epoch 0, training loss 0.184:  71%|███████▏  | 130/182 [02:45<01:06,  1.28s/it]
Epoch 0, training loss 0.184:  72%|███████▏  | 131/182 [02:46<01:04,  1.27s/it]
Epoch 0, training loss 0.184:  72%|███████▏  | 131/182 [02:47<01:05,  1.28s/it]
Epoch 0, training loss 0.184:  73%|███████▎  | 132/182 [02:47<01:03,  1.27s/it]
Epoch 0, training loss 0.183:  73%|███████▎  | 132/182 [02:48<01:03,  1.28s/it]
Epoch 0, training loss 0.183:  73%|███████▎  | 133/182 [02:48<01:02,  1.27s/it]
Epoch 0, training loss 0.182:  73%|███████▎  | 133/182 [02:49<01:02,  1.27s/it]
Epoch 0, training loss 0.182:  74%|███████▎  | 134/182 [02:49<01:00,  1.27s/it]
Epoch 0, training loss 0.191:  74%|███████▎  | 134/182 [02:50<01:01,  1.27s/it]
Epoch 0, training loss 0.191:  74%|███████▍  | 135/182 [02:50<00:59,  1.27s/it]
Epoch 0, training loss 0.191:  74%|███████▍  | 135/182 [02:51<00:59,  1.27s/it]
Epoch 0, training loss 0.191:  75%|███████▍  | 136/182 [02:52<00:58,  1.27s/it]
Epoch 0, training loss 0.190:  75%|███████▍  | 136/182 [02:52<00:58,  1.27s/it]
Epoch 0, training loss 0.190:  75%|███████▌  | 137/182 [02:53<00:56,  1.26s/it]
Epoch 0, training loss 0.189:  75%|███████▌  | 137/182 [02:53<00:57,  1.27s/it]
Epoch 0, training loss 0.189:  76%|███████▌  | 138/182 [02:54<00:55,  1.26s/it]
Epoch 0, training loss 0.188:  76%|███████▌  | 138/182 [02:54<00:55,  1.27s/it]
Epoch 0, training loss 0.188:  76%|███████▋  | 139/182 [02:55<00:54,  1.26s/it]
Epoch 0, training loss 0.187:  76%|███████▋  | 139/182 [02:55<00:54,  1.27s/it]
Epoch 0, training loss 0.187:  77%|███████▋  | 140/182 [02:56<00:52,  1.26s/it]
Epoch 0, training loss 0.187:  77%|███████▋  | 140/182 [02:56<00:53,  1.26s/it]
Epoch 0, training loss 0.187:  77%|███████▋  | 141/182 [02:57<00:51,  1.26s/it]
Epoch 0, training loss 0.186:  77%|███████▋  | 141/182 [02:58<00:51,  1.26s/it]
Epoch 0, training loss 0.186:  78%|███████▊  | 142/182 [02:58<00:50,  1.26s/it]
Epoch 0, training loss 0.186:  78%|███████▊  | 142/182 [02:59<00:50,  1.26s/it]
Epoch 0, training loss 0.186:  79%|███████▊  | 143/182 [02:59<00:49,  1.26s/it]
Epoch 0, training loss 0.187:  79%|███████▊  | 143/182 [03:00<00:49,  1.26s/it]
Epoch 0, training loss 0.187:  79%|███████▉  | 144/182 [03:00<00:47,  1.26s/it]
Epoch 0, training loss 0.188:  79%|███████▉  | 144/182 [03:01<00:47,  1.26s/it]
Epoch 0, training loss 0.188:  80%|███████▉  | 145/182 [03:01<00:46,  1.25s/it]
Epoch 0, training loss 0.188:  80%|███████▉  | 145/182 [03:02<00:46,  1.26s/it]
Epoch 0, training loss 0.188:  80%|████████  | 146/182 [03:03<00:45,  1.25s/it]
Epoch 0, training loss 0.189:  80%|████████  | 146/182 [03:03<00:45,  1.26s/it]
Epoch 0, training loss 0.189:  81%|████████  | 147/182 [03:04<00:43,  1.25s/it]
Epoch 0, training loss 0.189:  81%|████████  | 147/182 [03:04<00:44,  1.26s/it]
Epoch 0, training loss 0.189:  81%|████████▏ | 148/182 [03:05<00:42,  1.25s/it]
Epoch 0, training loss 0.188:  81%|████████▏ | 148/182 [03:05<00:42,  1.26s/it]
Epoch 0, training loss 0.188:  82%|████████▏ | 149/182 [03:06<00:41,  1.25s/it]
Epoch 0, training loss 0.187:  82%|████████▏ | 149/182 [03:07<00:41,  1.26s/it]
Epoch 0, training loss 0.187:  82%|████████▏ | 150/182 [03:07<00:40,  1.25s/it]
Epoch 0, training loss 0.186:  82%|████████▏ | 150/182 [03:08<00:40,  1.25s/it]
Epoch 0, training loss 0.186:  83%|████████▎ | 151/182 [03:08<00:38,  1.25s/it]
Epoch 0, training loss 0.185:  83%|████████▎ | 151/182 [03:09<00:38,  1.25s/it]
Epoch 0, training loss 0.185:  84%|████████▎ | 152/182 [03:09<00:37,  1.25s/it]
Epoch 0, training loss 0.184:  84%|████████▎ | 152/182 [03:10<00:37,  1.25s/it]
Epoch 0, training loss 0.184:  84%|████████▍ | 153/182 [03:10<00:36,  1.25s/it]
Epoch 0, training loss 0.184:  84%|████████▍ | 153/182 [03:11<00:36,  1.25s/it]
Epoch 0, training loss 0.184:  85%|████████▍ | 154/182 [03:11<00:34,  1.25s/it]
Epoch 0, training loss 0.184:  85%|████████▍ | 154/182 [03:12<00:35,  1.25s/it]
Epoch 0, training loss 0.184:  85%|████████▌ | 155/182 [03:13<00:33,  1.25s/it]
Epoch 0, training loss 0.184:  85%|████████▌ | 155/182 [03:13<00:33,  1.25s/it]
Epoch 0, training loss 0.184:  86%|████████▌ | 156/182 [03:14<00:32,  1.25s/it]
Epoch 0, training loss 0.183:  86%|████████▌ | 156/182 [03:14<00:32,  1.25s/it]
Epoch 0, training loss 0.183:  86%|████████▋ | 157/182 [03:15<00:31,  1.24s/it]
Epoch 0, training loss 0.183:  86%|████████▋ | 157/182 [03:16<00:31,  1.25s/it]
Epoch 0, training loss 0.183:  87%|████████▋ | 158/182 [03:16<00:29,  1.24s/it]
Epoch 0, training loss 0.183:  87%|████████▋ | 158/182 [03:17<00:29,  1.25s/it]
Epoch 0, training loss 0.183:  87%|████████▋ | 159/182 [03:17<00:28,  1.24s/it]
Epoch 0, training loss 0.182:  87%|████████▋ | 159/182 [03:18<00:28,  1.25s/it]
Epoch 0, training loss 0.182:  88%|████████▊ | 160/182 [03:18<00:27,  1.24s/it]
Epoch 0, training loss 0.182:  88%|████████▊ | 160/182 [03:19<00:27,  1.25s/it]
Epoch 0, training loss 0.182:  88%|████████▊ | 161/182 [03:19<00:26,  1.24s/it]
Epoch 0, training loss 0.182:  88%|████████▊ | 161/182 [03:20<00:26,  1.25s/it]
Epoch 0, training loss 0.182:  89%|████████▉ | 162/182 [03:20<00:24,  1.24s/it]
Epoch 0, training loss 0.181:  89%|████████▉ | 162/182 [03:21<00:24,  1.24s/it]
Epoch 0, training loss 0.181:  90%|████████▉ | 163/182 [03:22<00:23,  1.24s/it]
Epoch 0, training loss 0.180:  90%|████████▉ | 163/182 [03:22<00:23,  1.24s/it]
Epoch 0, training loss 0.180:  90%|█████████ | 164/182 [03:23<00:22,  1.24s/it]
Epoch 0, training loss 0.182:  90%|█████████ | 164/182 [03:23<00:22,  1.24s/it]
Epoch 0, training loss 0.182:  91%|█████████ | 165/182 [03:24<00:21,  1.24s/it]
Epoch 0, training loss 0.181:  91%|█████████ | 165/182 [03:24<00:21,  1.24s/it]
Epoch 0, training loss 0.181:  91%|█████████ | 166/182 [03:25<00:19,  1.24s/it]
Epoch 0, training loss 0.183:  91%|█████████ | 166/182 [03:25<00:19,  1.24s/it]
Epoch 0, training loss 0.183:  92%|█████████▏| 167/182 [03:26<00:18,  1.24s/it]
Epoch 0, training loss 0.183:  92%|█████████▏| 167/182 [03:27<00:18,  1.24s/it]
Epoch 0, training loss 0.183:  92%|█████████▏| 168/182 [03:27<00:17,  1.24s/it]
Epoch 0, training loss 0.183:  92%|█████████▏| 168/182 [03:28<00:17,  1.24s/it]
Epoch 0, training loss 0.183:  93%|█████████▎| 169/182 [03:28<00:16,  1.23s/it]
Epoch 0, training loss 0.183:  93%|█████████▎| 169/182 [03:29<00:16,  1.24s/it]
Epoch 0, training loss 0.183:  93%|█████████▎| 170/182 [03:29<00:14,  1.23s/it]
Epoch 0, training loss 0.182:  93%|█████████▎| 170/182 [03:30<00:14,  1.24s/it]
Epoch 0, training loss 0.182:  94%|█████████▍| 171/182 [03:30<00:13,  1.23s/it]
Epoch 0, training loss 0.183:  94%|█████████▍| 171/182 [03:31<00:13,  1.24s/it]
Epoch 0, training loss 0.183:  95%|█████████▍| 172/182 [03:32<00:12,  1.23s/it]
Epoch 0, training loss 0.182:  95%|█████████▍| 172/182 [03:32<00:12,  1.24s/it]
Epoch 0, training loss 0.182:  95%|█████████▌| 173/182 [03:33<00:11,  1.23s/it]
Epoch 0, training loss 0.182:  95%|█████████▌| 173/182 [03:33<00:11,  1.24s/it]
Epoch 0, training loss 0.182:  96%|█████████▌| 174/182 [03:34<00:09,  1.23s/it]
Epoch 0, training loss 0.182:  96%|█████████▌| 174/182 [03:34<00:09,  1.23s/it]
Epoch 0, training loss 0.182:  96%|█████████▌| 175/182 [03:35<00:08,  1.23s/it]
Epoch 0, training loss 0.181:  96%|█████████▌| 175/182 [03:35<00:08,  1.23s/it]
Epoch 0, training loss 0.181:  97%|█████████▋| 176/182 [03:36<00:07,  1.23s/it]
Epoch 0, training loss 0.181:  97%|█████████▋| 176/182 [03:37<00:07,  1.23s/it]
Epoch 0, training loss 0.181:  97%|█████████▋| 177/182 [03:37<00:06,  1.23s/it]
Epoch 0, training loss 0.180:  97%|█████████▋| 177/182 [03:38<00:06,  1.23s/it]
Epoch 0, training loss 0.180:  98%|█████████▊| 178/182 [03:38<00:04,  1.23s/it]
Epoch 0, training loss 0.180:  98%|█████████▊| 178/182 [03:39<00:04,  1.23s/it]
Epoch 0, training loss 0.180:  98%|█████████▊| 179/182 [03:39<00:03,  1.23s/it]
Epoch 0, training loss 0.186:  98%|█████████▊| 179/182 [03:40<00:03,  1.23s/it]
Epoch 0, training loss 0.186:  99%|█████████▉| 180/182 [03:40<00:02,  1.23s/it]
Epoch 0, training loss 0.186:  99%|█████████▉| 180/182 [03:41<00:02,  1.23s/it]
Epoch 0, training loss 0.186:  99%|█████████▉| 181/182 [03:42<00:01,  1.23s/it]
Epoch 0, training loss 0.185:  99%|█████████▉| 181/182 [03:42<00:01,  1.23s/it]
Epoch 0, training loss 0.185: 100%|██████████| 182/182 [03:43<00:00,  1.23s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.504:   0%|          | 0/90 [00:05<?, ?it/s]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.504:   1%|          | 1/90 [00:05<07:37,  5.14s/it]
Epoch 0, validation pixAcc: 0.967, mIoU: 0.645:   1%|          | 1/90 [00:05<08:18,  5.60s/it]
Epoch 0, validation pixAcc: 0.967, mIoU: 0.645:   2%|▏         | 2/90 [00:05<04:06,  2.80s/it]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.760:   2%|▏         | 2/90 [00:06<04:26,  3.02s/it]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.760:   3%|▎         | 3/90 [00:06<02:55,  2.02s/it]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.804:   3%|▎         | 3/90 [00:06<03:08,  2.17s/it]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.804:   4%|▍         | 4/90 [00:06<02:19,  1.62s/it]
Epoch 0, validation pixAcc: 0.968, mIoU: 0.860:   4%|▍         | 4/90 [00:06<02:29,  1.74s/it]
Epoch 0, validation pixAcc: 0.968, mIoU: 0.860:   6%|▌         | 5/90 [00:06<01:58,  1.39s/it]
Epoch 0, validation pixAcc: 0.954, mIoU: 0.811:   6%|▌         | 5/90 [00:07<02:05,  1.47s/it]
Epoch 0, validation pixAcc: 0.954, mIoU: 0.811:   7%|▋         | 6/90 [00:07<01:43,  1.23s/it]
Epoch 0, validation pixAcc: 0.955, mIoU: 0.817:   7%|▋         | 6/90 [00:07<01:49,  1.30s/it]
Epoch 0, validation pixAcc: 0.955, mIoU: 0.817:   8%|▊         | 7/90 [00:07<01:32,  1.12s/it]
Epoch 0, validation pixAcc: 0.957, mIoU: 0.814:   8%|▊         | 7/90 [00:08<01:37,  1.18s/it]
Epoch 0, validation pixAcc: 0.957, mIoU: 0.814:   9%|▉         | 8/90 [00:08<01:24,  1.03s/it]
Epoch 0, validation pixAcc: 0.959, mIoU: 0.822:   9%|▉         | 8/90 [00:08<01:28,  1.08s/it]
Epoch 0, validation pixAcc: 0.959, mIoU: 0.822:  10%|█         | 9/90 [00:08<01:17,  1.04it/s]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.835:  10%|█         | 9/90 [00:09<01:21,  1.01s/it]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.835:  11%|█         | 10/90 [00:09<01:12,  1.10it/s]
Epoch 0, validation pixAcc: 0.962, mIoU: 0.835:  11%|█         | 10/90 [00:09<01:16,  1.05it/s]
Epoch 0, validation pixAcc: 0.962, mIoU: 0.835:  12%|█▏        | 11/90 [00:09<01:08,  1.16it/s]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.828:  12%|█▏        | 11/90 [00:09<01:11,  1.11it/s]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.828:  13%|█▎        | 12/90 [00:09<01:04,  1.21it/s]
Epoch 0, validation pixAcc: 0.961, mIoU: 0.838:  13%|█▎        | 12/90 [00:10<01:07,  1.16it/s]
Epoch 0, validation pixAcc: 0.961, mIoU: 0.838:  14%|█▍        | 13/90 [00:10<01:01,  1.26it/s]
Epoch 0, validation pixAcc: 0.962, mIoU: 0.839:  14%|█▍        | 13/90 [00:10<01:03,  1.22it/s]
Epoch 0, validation pixAcc: 0.962, mIoU: 0.839:  16%|█▌        | 14/90 [00:10<00:58,  1.31it/s]
Epoch 0, validation pixAcc: 0.961, mIoU: 0.835:  16%|█▌        | 14/90 [00:11<01:00,  1.26it/s]
Epoch 0, validation pixAcc: 0.961, mIoU: 0.835:  17%|█▋        | 15/90 [00:11<00:55,  1.35it/s]
Epoch 0, validation pixAcc: 0.961, mIoU: 0.841:  17%|█▋        | 15/90 [00:11<00:57,  1.30it/s]
Epoch 0, validation pixAcc: 0.961, mIoU: 0.841:  18%|█▊        | 16/90 [00:11<00:53,  1.39it/s]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.841:  18%|█▊        | 16/90 [00:12<00:55,  1.33it/s]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.841:  19%|█▉        | 17/90 [00:12<00:51,  1.42it/s]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.835:  19%|█▉        | 17/90 [00:12<00:53,  1.37it/s]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.835:  20%|██        | 18/90 [00:12<00:49,  1.45it/s]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.833:  20%|██        | 18/90 [00:12<00:51,  1.40it/s]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.833:  21%|██        | 19/90 [00:12<00:48,  1.47it/s]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.831:  21%|██        | 19/90 [00:13<00:49,  1.43it/s]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.831:  22%|██▏       | 20/90 [00:13<00:46,  1.50it/s]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.836:  22%|██▏       | 20/90 [00:13<00:48,  1.45it/s]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.836:  23%|██▎       | 21/90 [00:13<00:45,  1.53it/s]
Epoch 0, validation pixAcc: 0.961, mIoU: 0.838:  23%|██▎       | 21/90 [00:14<00:46,  1.48it/s]
Epoch 0, validation pixAcc: 0.961, mIoU: 0.838:  24%|██▍       | 22/90 [00:14<00:43,  1.55it/s]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.835:  24%|██▍       | 22/90 [00:14<00:45,  1.51it/s]
Epoch 0, validation pixAcc: 0.960, mIoU: 0.835:  26%|██▌       | 23/90 [00:14<00:42,  1.58it/s]
Epoch 0, validation pixAcc: 0.961, mIoU: 0.836:  26%|██▌       | 23/90 [00:15<00:43,  1.53it/s]
Epoch 0, validation pixAcc: 0.961, mIoU: 0.836:  27%|██▋       | 24/90 [00:15<00:41,  1.60it/s]
Epoch 0, validation pixAcc: 0.961, mIoU: 0.838:  27%|██▋       | 24/90 [00:15<00:42,  1.55it/s]
Epoch 0, validation pixAcc: 0.961, mIoU: 0.838:  28%|██▊       | 25/90 [00:15<00:40,  1.62it/s]
Epoch 0, validation pixAcc: 0.961, mIoU: 0.839:  28%|██▊       | 25/90 [00:15<00:41,  1.58it/s]
Epoch 0, validation pixAcc: 0.961, mIoU: 0.839:  29%|██▉       | 26/90 [00:15<00:39,  1.64it/s]
Epoch 0, validation pixAcc: 0.962, mIoU: 0.845:  29%|██▉       | 26/90 [00:16<00:40,  1.60it/s]
Epoch 0, validation pixAcc: 0.962, mIoU: 0.845:  30%|███       | 27/90 [00:16<00:37,  1.66it/s]
Epoch 0, validation pixAcc: 0.962, mIoU: 0.845:  30%|███       | 27/90 [00:16<00:39,  1.62it/s]
Epoch 0, validation pixAcc: 0.962, mIoU: 0.845:  31%|███       | 28/90 [00:16<00:37,  1.67it/s]
Epoch 0, validation pixAcc: 0.962, mIoU: 0.845:  31%|███       | 28/90 [00:17<00:38,  1.63it/s]
Epoch 0, validation pixAcc: 0.962, mIoU: 0.845:  32%|███▏      | 29/90 [00:17<00:36,  1.69it/s]
Epoch 0, validation pixAcc: 0.963, mIoU: 0.848:  32%|███▏      | 29/90 [00:17<00:37,  1.65it/s]
Epoch 0, validation pixAcc: 0.963, mIoU: 0.848:  33%|███▎      | 30/90 [00:17<00:35,  1.70it/s]
Epoch 0, validation pixAcc: 0.964, mIoU: 0.850:  33%|███▎      | 30/90 [00:18<00:36,  1.66it/s]
Epoch 0, validation pixAcc: 0.964, mIoU: 0.850:  34%|███▍      | 31/90 [00:18<00:34,  1.72it/s]
Epoch 0, validation pixAcc: 0.964, mIoU: 0.851:  34%|███▍      | 31/90 [00:18<00:35,  1.68it/s]
Epoch 0, validation pixAcc: 0.964, mIoU: 0.851:  36%|███▌      | 32/90 [00:18<00:33,  1.73it/s]
Epoch 0, validation pixAcc: 0.965, mIoU: 0.854:  36%|███▌      | 32/90 [00:18<00:34,  1.69it/s]
Epoch 0, validation pixAcc: 0.965, mIoU: 0.854:  37%|███▋      | 33/90 [00:18<00:32,  1.75it/s]
Epoch 0, validation pixAcc: 0.965, mIoU: 0.855:  37%|███▋      | 33/90 [00:19<00:33,  1.71it/s]
Epoch 0, validation pixAcc: 0.965, mIoU: 0.855:  38%|███▊      | 34/90 [00:19<00:31,  1.76it/s]
Epoch 0, validation pixAcc: 0.965, mIoU: 0.855:  38%|███▊      | 34/90 [00:19<00:32,  1.72it/s]
Epoch 0, validation pixAcc: 0.965, mIoU: 0.855:  39%|███▉      | 35/90 [00:19<00:31,  1.77it/s]
Epoch 0, validation pixAcc: 0.965, mIoU: 0.855:  39%|███▉      | 35/90 [00:20<00:31,  1.73it/s]
Epoch 0, validation pixAcc: 0.965, mIoU: 0.855:  40%|████      | 36/90 [00:20<00:30,  1.78it/s]
Epoch 0, validation pixAcc: 0.965, mIoU: 0.856:  40%|████      | 36/90 [00:20<00:30,  1.74it/s]
Epoch 0, validation pixAcc: 0.965, mIoU: 0.856:  41%|████      | 37/90 [00:20<00:29,  1.79it/s]
Epoch 0, validation pixAcc: 0.965, mIoU: 0.856:  41%|████      | 37/90 [00:21<00:30,  1.76it/s]
Epoch 0, validation pixAcc: 0.965, mIoU: 0.856:  42%|████▏     | 38/90 [00:21<00:28,  1.80it/s]
Epoch 0, validation pixAcc: 0.966, mIoU: 0.858:  42%|████▏     | 38/90 [00:21<00:29,  1.76it/s]
Epoch 0, validation pixAcc: 0.966, mIoU: 0.858:  43%|████▎     | 39/90 [00:21<00:28,  1.81it/s]
Epoch 0, validation pixAcc: 0.965, mIoU: 0.858:  43%|████▎     | 39/90 [00:21<00:28,  1.77it/s]
Epoch 0, validation pixAcc: 0.965, mIoU: 0.858:  44%|████▍     | 40/90 [00:21<00:27,  1.82it/s]
Epoch 0, validation pixAcc: 0.966, mIoU: 0.859:  44%|████▍     | 40/90 [00:22<00:28,  1.78it/s]
Epoch 0, validation pixAcc: 0.966, mIoU: 0.859:  46%|████▌     | 41/90 [00:22<00:26,  1.83it/s]
Epoch 0, validation pixAcc: 0.966, mIoU: 0.860:  46%|████▌     | 41/90 [00:22<00:27,  1.79it/s]
Epoch 0, validation pixAcc: 0.966, mIoU: 0.860:  47%|████▋     | 42/90 [00:22<00:26,  1.83it/s]
Epoch 0, validation pixAcc: 0.966, mIoU: 0.861:  47%|████▋     | 42/90 [00:23<00:26,  1.80it/s]
Epoch 0, validation pixAcc: 0.966, mIoU: 0.861:  48%|████▊     | 43/90 [00:23<00:25,  1.84it/s]
Epoch 0, validation pixAcc: 0.967, mIoU: 0.862:  48%|████▊     | 43/90 [00:23<00:26,  1.81it/s]
Epoch 0, validation pixAcc: 0.967, mIoU: 0.862:  49%|████▉     | 44/90 [00:23<00:24,  1.85it/s]
Epoch 0, validation pixAcc: 0.967, mIoU: 0.864:  49%|████▉     | 44/90 [00:24<00:25,  1.82it/s]
Epoch 0, validation pixAcc: 0.967, mIoU: 0.864:  50%|█████     | 45/90 [00:24<00:24,  1.86it/s]
Epoch 0, validation pixAcc: 0.967, mIoU: 0.864:  50%|█████     | 45/90 [00:24<00:24,  1.83it/s]
Epoch 0, validation pixAcc: 0.967, mIoU: 0.864:  51%|█████     | 46/90 [00:24<00:23,  1.87it/s]
Epoch 0, validation pixAcc: 0.968, mIoU: 0.866:  51%|█████     | 46/90 [00:25<00:23,  1.83it/s]
Epoch 0, validation pixAcc: 0.968, mIoU: 0.866:  52%|█████▏    | 47/90 [00:25<00:22,  1.87it/s]
Epoch 0, validation pixAcc: 0.968, mIoU: 0.865:  52%|█████▏    | 47/90 [00:25<00:23,  1.84it/s]
Epoch 0, validation pixAcc: 0.968, mIoU: 0.865:  53%|█████▎    | 48/90 [00:25<00:22,  1.88it/s]
Epoch 0, validation pixAcc: 0.968, mIoU: 0.866:  53%|█████▎    | 48/90 [00:25<00:22,  1.85it/s]
Epoch 0, validation pixAcc: 0.968, mIoU: 0.866:  54%|█████▍    | 49/90 [00:25<00:21,  1.89it/s]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.867:  54%|█████▍    | 49/90 [00:26<00:22,  1.86it/s]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.867:  56%|█████▌    | 50/90 [00:26<00:21,  1.90it/s]
Epoch 0, validation pixAcc: 0.968, mIoU: 0.868:  56%|█████▌    | 50/90 [00:26<00:21,  1.87it/s]
Epoch 0, validation pixAcc: 0.968, mIoU: 0.868:  57%|█████▋    | 51/90 [00:26<00:20,  1.91it/s]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.868:  57%|█████▋    | 51/90 [00:27<00:20,  1.88it/s]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.868:  58%|█████▊    | 52/90 [00:27<00:19,  1.91it/s]
Epoch 0, validation pixAcc: 0.968, mIoU: 0.868:  58%|█████▊    | 52/90 [00:27<00:20,  1.88it/s]
Epoch 0, validation pixAcc: 0.968, mIoU: 0.868:  59%|█████▉    | 53/90 [00:27<00:19,  1.92it/s]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.868:  59%|█████▉    | 53/90 [00:28<00:19,  1.89it/s]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.868:  60%|██████    | 54/90 [00:28<00:18,  1.93it/s]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.869:  60%|██████    | 54/90 [00:28<00:18,  1.90it/s]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.869:  61%|██████    | 55/90 [00:28<00:18,  1.93it/s]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.870:  61%|██████    | 55/90 [00:28<00:18,  1.91it/s]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.870:  62%|██████▏   | 56/90 [00:28<00:17,  1.94it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.870:  62%|██████▏   | 56/90 [00:29<00:17,  1.91it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.870:  63%|██████▎   | 57/90 [00:29<00:16,  1.95it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.870:  63%|██████▎   | 57/90 [00:29<00:17,  1.92it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.870:  64%|██████▍   | 58/90 [00:29<00:16,  1.95it/s]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.869:  64%|██████▍   | 58/90 [00:30<00:16,  1.92it/s]
Epoch 0, validation pixAcc: 0.969, mIoU: 0.869:  66%|██████▌   | 59/90 [00:30<00:15,  1.96it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.871:  66%|██████▌   | 59/90 [00:30<00:16,  1.93it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.871:  67%|██████▋   | 60/90 [00:30<00:15,  1.96it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.872:  67%|██████▋   | 60/90 [00:31<00:15,  1.93it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.872:  68%|██████▊   | 61/90 [00:31<00:14,  1.96it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.872:  68%|██████▊   | 61/90 [00:31<00:14,  1.94it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.872:  69%|██████▉   | 62/90 [00:31<00:14,  1.97it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.873:  69%|██████▉   | 62/90 [00:31<00:14,  1.94it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.873:  70%|███████   | 63/90 [00:31<00:13,  1.97it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.874:  70%|███████   | 63/90 [00:32<00:13,  1.95it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.874:  71%|███████   | 64/90 [00:32<00:13,  1.98it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.875:  71%|███████   | 64/90 [00:32<00:13,  1.95it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.875:  72%|███████▏  | 65/90 [00:32<00:12,  1.98it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.874:  72%|███████▏  | 65/90 [00:33<00:12,  1.96it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.874:  73%|███████▎  | 66/90 [00:33<00:12,  1.99it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.874:  73%|███████▎  | 66/90 [00:33<00:12,  1.96it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.874:  74%|███████▍  | 67/90 [00:33<00:11,  1.99it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.875:  74%|███████▍  | 67/90 [00:34<00:11,  1.97it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.875:  76%|███████▌  | 68/90 [00:34<00:11,  2.00it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.875:  76%|███████▌  | 68/90 [00:34<00:11,  1.97it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.875:  77%|███████▋  | 69/90 [00:34<00:10,  2.00it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.875:  77%|███████▋  | 69/90 [00:34<00:10,  1.98it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.875:  78%|███████▊  | 70/90 [00:34<00:09,  2.01it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  78%|███████▊  | 70/90 [00:35<00:10,  1.98it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  79%|███████▉  | 71/90 [00:35<00:09,  2.01it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  79%|███████▉  | 71/90 [00:35<00:09,  1.99it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  80%|████████  | 72/90 [00:35<00:08,  2.01it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  80%|████████  | 72/90 [00:36<00:09,  1.99it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  81%|████████  | 73/90 [00:36<00:08,  2.02it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  81%|████████  | 73/90 [00:36<00:08,  1.99it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  82%|████████▏ | 74/90 [00:36<00:07,  2.02it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.875:  82%|████████▏ | 74/90 [00:37<00:08,  1.99it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.875:  83%|████████▎ | 75/90 [00:37<00:07,  2.02it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.875:  83%|████████▎ | 75/90 [00:37<00:07,  2.00it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.875:  84%|████████▍ | 76/90 [00:37<00:06,  2.02it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  84%|████████▍ | 76/90 [00:38<00:07,  2.00it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  86%|████████▌ | 77/90 [00:38<00:06,  2.03it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.875:  86%|████████▌ | 77/90 [00:38<00:06,  2.00it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.875:  87%|████████▋ | 78/90 [00:38<00:05,  2.03it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  87%|████████▋ | 78/90 [00:38<00:05,  2.01it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  88%|████████▊ | 79/90 [00:38<00:05,  2.03it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  88%|████████▊ | 79/90 [00:39<00:05,  2.01it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  89%|████████▉ | 80/90 [00:39<00:04,  2.04it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.877:  89%|████████▉ | 80/90 [00:39<00:04,  2.02it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.877:  90%|█████████ | 81/90 [00:39<00:04,  2.04it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.877:  90%|█████████ | 81/90 [00:40<00:04,  2.02it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.877:  91%|█████████ | 82/90 [00:40<00:03,  2.05it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.878:  91%|█████████ | 82/90 [00:40<00:03,  2.02it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.878:  92%|█████████▏| 83/90 [00:40<00:03,  2.05it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.878:  92%|█████████▏| 83/90 [00:40<00:03,  2.03it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.878:  93%|█████████▎| 84/90 [00:40<00:02,  2.05it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.877:  93%|█████████▎| 84/90 [00:41<00:02,  2.03it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.877:  94%|█████████▍| 85/90 [00:41<00:02,  2.06it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  94%|█████████▍| 85/90 [00:41<00:02,  2.04it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  96%|█████████▌| 86/90 [00:41<00:01,  2.06it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  96%|█████████▌| 86/90 [00:42<00:01,  2.04it/s]
Epoch 0, validation pixAcc: 0.971, mIoU: 0.876:  97%|█████████▋| 87/90 [00:42<00:01,  2.06it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.875:  97%|█████████▋| 87/90 [00:42<00:01,  2.04it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.875:  98%|█████████▊| 88/90 [00:42<00:00,  2.07it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.875:  98%|█████████▊| 88/90 [00:42<00:00,  2.05it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.875:  99%|█████████▉| 89/90 [00:42<00:00,  2.07it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.874:  99%|█████████▉| 89/90 [00:43<00:00,  2.05it/s]
Epoch 0, validation pixAcc: 0.970, mIoU: 0.874: 100%|██████████| 90/90 [00:43<00:00,  2.07it/s]

  0%|          | 0/182 [00:00<?, ?it/s]
Epoch 1, training loss 0.051:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 1, training loss 0.051:   1%|          | 1/182 [00:05<16:15,  5.39s/it]
Epoch 1, training loss 0.136:   1%|          | 1/182 [00:06<18:22,  6.09s/it]
Epoch 1, training loss 0.136:   1%|          | 2/182 [00:06<09:54,  3.30s/it]
Epoch 1, training loss 0.139:   1%|          | 2/182 [00:07<10:57,  3.65s/it]
Epoch 1, training loss 0.139:   2%|▏         | 3/182 [00:07<07:44,  2.60s/it]
Epoch 1, training loss 0.140:   2%|▏         | 3/182 [00:08<08:22,  2.80s/it]
Epoch 1, training loss 0.140:   2%|▏         | 4/182 [00:08<06:38,  2.24s/it]
Epoch 1, training loss 0.134:   2%|▏         | 4/182 [00:09<07:10,  2.42s/it]
Epoch 1, training loss 0.134:   3%|▎         | 5/182 [00:10<06:00,  2.03s/it]
Epoch 1, training loss 0.135:   3%|▎         | 5/182 [00:10<06:24,  2.17s/it]
Epoch 1, training loss 0.135:   3%|▎         | 6/182 [00:11<05:32,  1.89s/it]
Epoch 1, training loss 0.125:   3%|▎         | 6/182 [00:12<05:52,  2.00s/it]
Epoch 1, training loss 0.125:   4%|▍         | 7/182 [00:12<05:12,  1.78s/it]
Epoch 1, training loss 0.147:   4%|▍         | 7/182 [00:13<05:26,  1.86s/it]
Epoch 1, training loss 0.147:   4%|▍         | 8/182 [00:13<04:54,  1.69s/it]
Epoch 1, training loss 0.139:   4%|▍         | 8/182 [00:14<05:07,  1.77s/it]
Epoch 1, training loss 0.139:   5%|▍         | 9/182 [00:14<04:41,  1.63s/it]
Epoch 1, training loss 0.140:   5%|▍         | 9/182 [00:15<04:54,  1.70s/it]
Epoch 1, training loss 0.140:   5%|▌         | 10/182 [00:15<04:32,  1.58s/it]
Epoch 1, training loss 0.130:   5%|▌         | 10/182 [00:16<04:41,  1.64s/it]
Epoch 1, training loss 0.130:   6%|▌         | 11/182 [00:16<04:22,  1.54s/it]
Epoch 1, training loss 0.154:   6%|▌         | 11/182 [00:17<04:33,  1.60s/it]
Epoch 1, training loss 0.154:   7%|▋         | 12/182 [00:18<04:16,  1.51s/it]
Epoch 1, training loss 0.167:   7%|▋         | 12/182 [00:18<04:24,  1.56s/it]
Epoch 1, training loss 0.167:   7%|▋         | 13/182 [00:19<04:09,  1.48s/it]
Epoch 1, training loss 0.172:   7%|▋         | 13/182 [00:19<04:18,  1.53s/it]
Epoch 1, training loss 0.172:   8%|▊         | 14/182 [00:20<04:04,  1.45s/it]
Epoch 1, training loss 0.163:   8%|▊         | 14/182 [00:20<04:11,  1.50s/it]
Epoch 1, training loss 0.163:   8%|▊         | 15/182 [00:21<03:59,  1.43s/it]
Epoch 1, training loss 0.158:   8%|▊         | 15/182 [00:22<04:05,  1.47s/it]
Epoch 1, training loss 0.158:   9%|▉         | 16/182 [00:22<03:53,  1.41s/it]
Epoch 1, training loss 0.162:   9%|▉         | 16/182 [00:23<04:00,  1.45s/it]
Epoch 1, training loss 0.162:   9%|▉         | 17/182 [00:23<03:50,  1.40s/it]
Epoch 1, training loss 0.157:   9%|▉         | 17/182 [00:24<03:56,  1.43s/it]
Epoch 1, training loss 0.157:  10%|▉         | 18/182 [00:24<03:46,  1.38s/it]
Epoch 1, training loss 0.152:  10%|▉         | 18/182 [00:25<03:51,  1.41s/it]
Epoch 1, training loss 0.152:  10%|█         | 19/182 [00:25<03:42,  1.36s/it]
Epoch 1, training loss 0.147:  10%|█         | 19/182 [00:26<03:48,  1.40s/it]
Epoch 1, training loss 0.147:  11%|█         | 20/182 [00:27<03:40,  1.36s/it]
Epoch 1, training loss 0.145:  11%|█         | 20/182 [00:27<03:45,  1.39s/it]
Epoch 1, training loss 0.145:  12%|█▏        | 21/182 [00:28<03:37,  1.35s/it]
Epoch 1, training loss 0.147:  12%|█▏        | 21/182 [00:28<03:42,  1.38s/it]
Epoch 1, training loss 0.147:  12%|█▏        | 22/182 [00:29<03:34,  1.34s/it]
Epoch 1, training loss 0.144:  12%|█▏        | 22/182 [00:30<03:38,  1.37s/it]
Epoch 1, training loss 0.144:  13%|█▎        | 23/182 [00:30<03:31,  1.33s/it]
Epoch 1, training loss 0.139:  13%|█▎        | 23/182 [00:31<03:35,  1.36s/it]
Epoch 1, training loss 0.139:  13%|█▎        | 24/182 [00:31<03:28,  1.32s/it]
Epoch 1, training loss 0.135:  13%|█▎        | 24/182 [00:32<03:33,  1.35s/it]
Epoch 1, training loss 0.135:  14%|█▎        | 25/182 [00:32<03:26,  1.32s/it]
Epoch 1, training loss 0.139:  14%|█▎        | 25/182 [00:33<03:30,  1.34s/it]
Epoch 1, training loss 0.139:  14%|█▍        | 26/182 [00:34<03:24,  1.31s/it]
Epoch 1, training loss 0.136:  14%|█▍        | 26/182 [00:34<03:28,  1.34s/it]
Epoch 1, training loss 0.136:  15%|█▍        | 27/182 [00:35<03:22,  1.31s/it]
Epoch 1, training loss 0.134:  15%|█▍        | 27/182 [00:35<03:26,  1.33s/it]
Epoch 1, training loss 0.134:  15%|█▌        | 28/182 [00:36<03:20,  1.30s/it]
Epoch 1, training loss 0.134:  15%|█▌        | 28/182 [00:37<03:24,  1.33s/it]
Epoch 1, training loss 0.134:  16%|█▌        | 29/182 [00:37<03:18,  1.30s/it]
Epoch 1, training loss 0.132:  16%|█▌        | 29/182 [00:38<03:21,  1.32s/it]
Epoch 1, training loss 0.132:  16%|█▋        | 30/182 [00:38<03:16,  1.29s/it]
Epoch 1, training loss 0.138:  16%|█▋        | 30/182 [00:39<03:20,  1.32s/it]
Epoch 1, training loss 0.138:  17%|█▋        | 31/182 [00:39<03:14,  1.29s/it]
Epoch 1, training loss 0.142:  17%|█▋        | 31/182 [00:40<03:17,  1.31s/it]
Epoch 1, training loss 0.142:  18%|█▊        | 32/182 [00:41<03:12,  1.28s/it]
Epoch 1, training loss 0.146:  18%|█▊        | 32/182 [00:41<03:15,  1.30s/it]
Epoch 1, training loss 0.146:  18%|█▊        | 33/182 [00:42<03:10,  1.28s/it]
Epoch 1, training loss 0.142:  18%|█▊        | 33/182 [00:42<03:13,  1.30s/it]
Epoch 1, training loss 0.142:  19%|█▊        | 34/182 [00:43<03:08,  1.28s/it]
Epoch 1, training loss 0.139:  19%|█▊        | 34/182 [00:44<03:11,  1.30s/it]
Epoch 1, training loss 0.139:  19%|█▉        | 35/182 [00:44<03:07,  1.27s/it]
Epoch 1, training loss 0.140:  19%|█▉        | 35/182 [00:45<03:10,  1.29s/it]
Epoch 1, training loss 0.140:  20%|█▉        | 36/182 [00:45<03:05,  1.27s/it]
Epoch 1, training loss 0.138:  20%|█▉        | 36/182 [00:46<03:08,  1.29s/it]
Epoch 1, training loss 0.138:  20%|██        | 37/182 [00:46<03:03,  1.27s/it]
Epoch 1, training loss 0.139:  20%|██        | 37/182 [00:47<03:06,  1.29s/it]
Epoch 1, training loss 0.139:  21%|██        | 38/182 [00:48<03:02,  1.27s/it]
Epoch 1, training loss 0.139:  21%|██        | 38/182 [00:48<03:05,  1.28s/it]
Epoch 1, training loss 0.139:  21%|██▏       | 39/182 [00:49<03:00,  1.26s/it]
Epoch 1, training loss 0.136:  21%|██▏       | 39/182 [00:49<03:02,  1.28s/it]
Epoch 1, training loss 0.136:  22%|██▏       | 40/182 [00:50<02:58,  1.26s/it]
Epoch 1, training loss 0.135:  22%|██▏       | 40/182 [00:50<03:00,  1.27s/it]
Epoch 1, training loss 0.135:  23%|██▎       | 41/182 [00:51<02:56,  1.26s/it]
Epoch 1, training loss 0.134:  23%|██▎       | 41/182 [00:52<02:59,  1.27s/it]
Epoch 1, training loss 0.134:  23%|██▎       | 42/182 [00:52<02:55,  1.25s/it]
Epoch 1, training loss 0.132:  23%|██▎       | 42/182 [00:53<02:57,  1.27s/it]
Epoch 1, training loss 0.132:  24%|██▎       | 43/182 [00:53<02:53,  1.25s/it]
Epoch 1, training loss 0.131:  24%|██▎       | 43/182 [00:54<02:55,  1.27s/it]
Epoch 1, training loss 0.131:  24%|██▍       | 44/182 [00:54<02:52,  1.25s/it]
Epoch 1, training loss 0.129:  24%|██▍       | 44/182 [00:55<02:54,  1.27s/it]
Epoch 1, training loss 0.129:  25%|██▍       | 45/182 [00:56<02:51,  1.25s/it]
Epoch 1, training loss 0.133:  25%|██▍       | 45/182 [00:56<02:53,  1.26s/it]
Epoch 1, training loss 0.133:  25%|██▌       | 46/182 [00:57<02:49,  1.25s/it]
Epoch 1, training loss 0.141:  25%|██▌       | 46/182 [00:58<02:51,  1.26s/it]
Epoch 1, training loss 0.141:  26%|██▌       | 47/182 [00:58<02:48,  1.25s/it]
Epoch 1, training loss 0.150:  26%|██▌       | 47/182 [00:59<02:49,  1.26s/it]
Epoch 1, training loss 0.150:  26%|██▋       | 48/182 [00:59<02:46,  1.24s/it]
Epoch 1, training loss 0.154:  26%|██▋       | 48/182 [01:00<02:48,  1.26s/it]
Epoch 1, training loss 0.154:  27%|██▋       | 49/182 [01:00<02:44,  1.24s/it]
Epoch 1, training loss 0.151:  27%|██▋       | 49/182 [01:01<02:46,  1.25s/it]
Epoch 1, training loss 0.151:  27%|██▋       | 50/182 [01:01<02:43,  1.24s/it]
Epoch 1, training loss 0.150:  27%|██▋       | 50/182 [01:02<02:45,  1.25s/it]
Epoch 1, training loss 0.150:  28%|██▊       | 51/182 [01:03<02:41,  1.24s/it]
Epoch 1, training loss 0.148:  28%|██▊       | 51/182 [01:03<02:43,  1.25s/it]
Epoch 1, training loss 0.148:  29%|██▊       | 52/182 [01:04<02:40,  1.24s/it]
Epoch 1, training loss 0.146:  29%|██▊       | 52/182 [01:04<02:42,  1.25s/it]
Epoch 1, training loss 0.146:  29%|██▉       | 53/182 [01:05<02:39,  1.24s/it]
Epoch 1, training loss 0.144:  29%|██▉       | 53/182 [01:06<02:40,  1.25s/it]
Epoch 1, training loss 0.144:  30%|██▉       | 54/182 [01:06<02:37,  1.23s/it]
Epoch 1, training loss 0.143:  30%|██▉       | 54/182 [01:07<02:39,  1.25s/it]
Epoch 1, training loss 0.143:  30%|███       | 55/182 [01:07<02:36,  1.23s/it]
Epoch 1, training loss 0.142:  30%|███       | 55/182 [01:08<02:37,  1.24s/it]
Epoch 1, training loss 0.142:  31%|███       | 56/182 [01:08<02:34,  1.23s/it]
Epoch 1, training loss 0.143:  31%|███       | 56/182 [01:09<02:36,  1.24s/it]
Epoch 1, training loss 0.143:  31%|███▏      | 57/182 [01:09<02:33,  1.23s/it]
Epoch 1, training loss 0.141:  31%|███▏      | 57/182 [01:10<02:34,  1.24s/it]
Epoch 1, training loss 0.141:  32%|███▏      | 58/182 [01:11<02:32,  1.23s/it]
Epoch 1, training loss 0.142:  32%|███▏      | 58/182 [01:11<02:33,  1.24s/it]
Epoch 1, training loss 0.142:  32%|███▏      | 59/182 [01:12<02:30,  1.23s/it]
Epoch 1, training loss 0.142:  32%|███▏      | 59/182 [01:12<02:32,  1.24s/it]
Epoch 1, training loss 0.142:  33%|███▎      | 60/182 [01:13<02:29,  1.22s/it]
Epoch 1, training loss 0.142:  33%|███▎      | 60/182 [01:14<02:30,  1.24s/it]
Epoch 1, training loss 0.142:  34%|███▎      | 61/182 [01:14<02:28,  1.23s/it]
Epoch 1, training loss 0.142:  34%|███▎      | 61/182 [01:15<02:29,  1.24s/it]
Epoch 1, training loss 0.142:  34%|███▍      | 62/182 [01:15<02:26,  1.22s/it]
Epoch 1, training loss 0.152:  34%|███▍      | 62/182 [01:16<02:28,  1.24s/it]
Epoch 1, training loss 0.152:  35%|███▍      | 63/182 [01:17<02:25,  1.22s/it]
Epoch 1, training loss 0.150:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 1, training loss 0.150:  35%|███▌      | 64/182 [01:18<02:24,  1.22s/it]
Epoch 1, training loss 0.148:  35%|███▌      | 64/182 [01:18<02:25,  1.23s/it]
Epoch 1, training loss 0.148:  36%|███▌      | 65/182 [01:19<02:22,  1.22s/it]
Epoch 1, training loss 0.150:  36%|███▌      | 65/182 [01:19<02:23,  1.23s/it]
Epoch 1, training loss 0.150:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 1, training loss 0.156:  36%|███▋      | 66/182 [01:21<02:22,  1.23s/it]
Epoch 1, training loss 0.156:  37%|███▋      | 67/182 [01:21<02:20,  1.22s/it]
Epoch 1, training loss 0.158:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 1, training loss 0.158:  37%|███▋      | 68/182 [01:22<02:18,  1.22s/it]
Epoch 1, training loss 0.157:  37%|███▋      | 68/182 [01:23<02:20,  1.23s/it]
Epoch 1, training loss 0.157:  38%|███▊      | 69/182 [01:23<02:17,  1.22s/it]
Epoch 1, training loss 0.155:  38%|███▊      | 69/182 [01:24<02:18,  1.23s/it]
Epoch 1, training loss 0.155:  38%|███▊      | 70/182 [01:25<02:16,  1.22s/it]
Epoch 1, training loss 0.155:  38%|███▊      | 70/182 [01:25<02:17,  1.23s/it]
Epoch 1, training loss 0.155:  39%|███▉      | 71/182 [01:26<02:14,  1.22s/it]
Epoch 1, training loss 0.154:  39%|███▉      | 71/182 [01:26<02:15,  1.22s/it]
Epoch 1, training loss 0.154:  40%|███▉      | 72/182 [01:27<02:13,  1.21s/it]
Epoch 1, training loss 0.155:  40%|███▉      | 72/182 [01:28<02:14,  1.22s/it]
Epoch 1, training loss 0.155:  40%|████      | 73/182 [01:28<02:12,  1.21s/it]
Epoch 1, training loss 0.156:  40%|████      | 73/182 [01:29<02:13,  1.22s/it]
Epoch 1, training loss 0.156:  41%|████      | 74/182 [01:29<02:10,  1.21s/it]
Epoch 1, training loss 0.155:  41%|████      | 74/182 [01:30<02:11,  1.22s/it]
Epoch 1, training loss 0.155:  41%|████      | 75/182 [01:30<02:09,  1.21s/it]
Epoch 1, training loss 0.157:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 1, training loss 0.157:  42%|████▏     | 76/182 [01:31<02:08,  1.21s/it]
Epoch 1, training loss 0.156:  42%|████▏     | 76/182 [01:32<02:09,  1.22s/it]
Epoch 1, training loss 0.156:  42%|████▏     | 77/182 [01:33<02:06,  1.21s/it]
Epoch 1, training loss 0.155:  42%|████▏     | 77/182 [01:33<02:07,  1.22s/it]
Epoch 1, training loss 0.155:  43%|████▎     | 78/182 [01:34<02:05,  1.21s/it]
Epoch 1, training loss 0.155:  43%|████▎     | 78/182 [01:34<02:06,  1.22s/it]
Epoch 1, training loss 0.155:  43%|████▎     | 79/182 [01:35<02:04,  1.21s/it]
Epoch 1, training loss 0.155:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
Epoch 1, training loss 0.155:  44%|████▍     | 80/182 [01:36<02:03,  1.21s/it]
Epoch 1, training loss 0.156:  44%|████▍     | 80/182 [01:37<02:03,  1.21s/it]
Epoch 1, training loss 0.156:  45%|████▍     | 81/182 [01:37<02:01,  1.21s/it]
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Epoch 1, training loss 0.155:  45%|████▌     | 82/182 [01:38<02:00,  1.21s/it]
Epoch 1, training loss 0.157:  45%|████▌     | 82/182 [01:39<02:01,  1.21s/it]
Epoch 1, training loss 0.157:  46%|████▌     | 83/182 [01:39<01:59,  1.20s/it]
Epoch 1, training loss 0.155:  46%|████▌     | 83/182 [01:40<02:00,  1.21s/it]
Epoch 1, training loss 0.155:  46%|████▌     | 84/182 [01:41<01:57,  1.20s/it]
Epoch 1, training loss 0.154:  46%|████▌     | 84/182 [01:41<01:58,  1.21s/it]
Epoch 1, training loss 0.154:  47%|████▋     | 85/182 [01:42<01:56,  1.20s/it]
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Epoch 1, training loss 0.155:  47%|████▋     | 86/182 [01:43<01:55,  1.20s/it]
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Epoch 1, training loss 0.155:  48%|████▊     | 87/182 [01:44<01:54,  1.20s/it]
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Epoch 1, training loss 0.154:  48%|████▊     | 88/182 [01:45<01:52,  1.20s/it]
Epoch 1, training loss 0.153:  48%|████▊     | 88/182 [01:46<01:53,  1.21s/it]
Epoch 1, training loss 0.153:  49%|████▉     | 89/182 [01:46<01:51,  1.20s/it]
Epoch 1, training loss 0.154:  49%|████▉     | 89/182 [01:47<01:52,  1.21s/it]
Epoch 1, training loss 0.154:  49%|████▉     | 90/182 [01:48<01:50,  1.20s/it]
Epoch 1, training loss 0.153:  49%|████▉     | 90/182 [01:48<01:51,  1.21s/it]
Epoch 1, training loss 0.153:  50%|█████     | 91/182 [01:49<01:49,  1.20s/it]
Epoch 1, training loss 0.152:  50%|█████     | 91/182 [01:49<01:49,  1.21s/it]
Epoch 1, training loss 0.152:  51%|█████     | 92/182 [01:50<01:47,  1.20s/it]
Epoch 1, training loss 0.152:  51%|█████     | 92/182 [01:50<01:48,  1.21s/it]
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Epoch 1, training loss 0.151:  51%|█████     | 93/182 [01:52<01:47,  1.20s/it]
Epoch 1, training loss 0.151:  52%|█████▏    | 94/182 [01:52<01:45,  1.20s/it]
Epoch 1, training loss 0.150:  52%|█████▏    | 94/182 [01:53<01:46,  1.21s/it]
Epoch 1, training loss 0.150:  52%|█████▏    | 95/182 [01:53<01:44,  1.20s/it]
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Epoch 1, training loss 0.150:  53%|█████▎    | 96/182 [01:55<01:43,  1.20s/it]
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Epoch 1, training loss 0.155:  53%|█████▎    | 97/182 [01:56<01:41,  1.20s/it]
Epoch 1, training loss 0.155:  53%|█████▎    | 97/182 [01:56<01:42,  1.20s/it]
Epoch 1, training loss 0.155:  54%|█████▍    | 98/182 [01:57<01:40,  1.20s/it]
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Epoch 1, training loss 0.155:  54%|█████▍    | 99/182 [01:58<01:39,  1.20s/it]
Epoch 1, training loss 0.157:  54%|█████▍    | 99/182 [01:58<01:39,  1.20s/it]
Epoch 1, training loss 0.157:  55%|█████▍    | 100/182 [01:59<01:37,  1.19s/it]
Epoch 1, training loss 0.157:  55%|█████▍    | 100/182 [02:00<01:38,  1.20s/it]
Epoch 1, training loss 0.157:  55%|█████▌    | 101/182 [02:00<01:36,  1.19s/it]
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Epoch 1, training loss 0.157:  56%|█████▌    | 102/182 [02:01<01:35,  1.19s/it]
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Epoch 1, training loss 0.157:  57%|█████▋    | 103/182 [02:03<01:34,  1.20s/it]
Epoch 1, training loss 0.157:  57%|█████▋    | 104/182 [02:03<01:32,  1.19s/it]
Epoch 1, training loss 0.157:  57%|█████▋    | 104/182 [02:04<01:33,  1.20s/it]
Epoch 1, training loss 0.157:  58%|█████▊    | 105/182 [02:04<01:31,  1.19s/it]
Epoch 1, training loss 0.157:  58%|█████▊    | 105/182 [02:05<01:32,  1.20s/it]
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Epoch 1, training loss 0.155:  59%|█████▉    | 107/182 [02:08<01:29,  1.20s/it]
Epoch 1, training loss 0.155:  59%|█████▉    | 108/182 [02:08<01:28,  1.19s/it]
Epoch 1, training loss 0.154:  59%|█████▉    | 108/182 [02:09<01:28,  1.20s/it]
Epoch 1, training loss 0.154:  60%|█████▉    | 109/182 [02:09<01:26,  1.19s/it]
Epoch 1, training loss 0.154:  60%|█████▉    | 109/182 [02:10<01:27,  1.19s/it]
Epoch 1, training loss 0.154:  60%|██████    | 110/182 [02:10<01:25,  1.19s/it]
Epoch 1, training loss 0.155:  60%|██████    | 110/182 [02:11<01:26,  1.19s/it]
Epoch 1, training loss 0.155:  61%|██████    | 111/182 [02:11<01:24,  1.19s/it]
Epoch 1, training loss 0.155:  61%|██████    | 111/182 [02:12<01:24,  1.19s/it]
Epoch 1, training loss 0.155:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 1, training loss 0.155:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 1, training loss 0.155:  62%|██████▏   | 113/182 [02:14<01:21,  1.19s/it]
Epoch 1, training loss 0.162:  62%|██████▏   | 113/182 [02:14<01:22,  1.19s/it]
Epoch 1, training loss 0.162:  63%|██████▎   | 114/182 [02:15<01:20,  1.19s/it]
Epoch 1, training loss 0.162:  63%|██████▎   | 114/182 [02:15<01:20,  1.19s/it]
Epoch 1, training loss 0.162:  63%|██████▎   | 115/182 [02:16<01:19,  1.18s/it]
Epoch 1, training loss 0.161:  63%|██████▎   | 115/182 [02:16<01:19,  1.19s/it]
Epoch 1, training loss 0.161:  64%|██████▎   | 116/182 [02:17<01:18,  1.18s/it]
Epoch 1, training loss 0.161:  64%|██████▎   | 116/182 [02:18<01:18,  1.19s/it]
Epoch 1, training loss 0.161:  64%|██████▍   | 117/182 [02:18<01:16,  1.18s/it]
Epoch 1, training loss 0.160:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 1, training loss 0.160:  65%|██████▍   | 118/182 [02:19<01:15,  1.18s/it]
Epoch 1, training loss 0.159:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 1, training loss 0.159:  65%|██████▌   | 119/182 [02:20<01:14,  1.18s/it]
Epoch 1, training loss 0.163:  65%|██████▌   | 119/182 [02:21<01:14,  1.19s/it]
Epoch 1, training loss 0.163:  66%|██████▌   | 120/182 [02:21<01:13,  1.18s/it]
Epoch 1, training loss 0.163:  66%|██████▌   | 120/182 [02:22<01:13,  1.19s/it]
Epoch 1, training loss 0.163:  66%|██████▋   | 121/182 [02:23<01:12,  1.18s/it]
Epoch 1, training loss 0.163:  66%|██████▋   | 121/182 [02:23<01:12,  1.19s/it]
Epoch 1, training loss 0.163:  67%|██████▋   | 122/182 [02:24<01:10,  1.18s/it]
Epoch 1, training loss 0.168:  67%|██████▋   | 122/182 [02:24<01:11,  1.19s/it]
Epoch 1, training loss 0.168:  68%|██████▊   | 123/182 [02:25<01:09,  1.18s/it]
Epoch 1, training loss 0.169:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 1, training loss 0.169:  68%|██████▊   | 124/182 [02:26<01:08,  1.18s/it]
Epoch 1, training loss 0.168:  68%|██████▊   | 124/182 [02:27<01:08,  1.19s/it]
Epoch 1, training loss 0.168:  69%|██████▊   | 125/182 [02:27<01:07,  1.18s/it]
Epoch 1, training loss 0.169:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 1, training loss 0.169:  69%|██████▉   | 126/182 [02:28<01:06,  1.18s/it]
Epoch 1, training loss 0.168:  69%|██████▉   | 126/182 [02:29<01:06,  1.19s/it]
Epoch 1, training loss 0.168:  70%|██████▉   | 127/182 [02:29<01:04,  1.18s/it]
Epoch 1, training loss 0.169:  70%|██████▉   | 127/182 [02:30<01:05,  1.19s/it]
Epoch 1, training loss 0.169:  70%|███████   | 128/182 [02:31<01:03,  1.18s/it]
Epoch 1, training loss 0.168:  70%|███████   | 128/182 [02:31<01:04,  1.19s/it]
Epoch 1, training loss 0.168:  71%|███████   | 129/182 [02:32<01:02,  1.18s/it]
Epoch 1, training loss 0.167:  71%|███████   | 129/182 [02:32<01:02,  1.18s/it]
Epoch 1, training loss 0.167:  71%|███████▏  | 130/182 [02:33<01:01,  1.18s/it]
Epoch 1, training loss 0.167:  71%|███████▏  | 130/182 [02:33<01:01,  1.18s/it]
Epoch 1, training loss 0.167:  72%|███████▏  | 131/182 [02:34<01:00,  1.18s/it]
Epoch 1, training loss 0.166:  72%|███████▏  | 131/182 [02:35<01:00,  1.18s/it]
Epoch 1, training loss 0.166:  73%|███████▎  | 132/182 [02:35<00:58,  1.18s/it]
Epoch 1, training loss 0.165:  73%|███████▎  | 132/182 [02:36<00:59,  1.18s/it]
Epoch 1, training loss 0.165:  73%|███████▎  | 133/182 [02:36<00:57,  1.18s/it]
Epoch 1, training loss 0.164:  73%|███████▎  | 133/182 [02:37<00:58,  1.18s/it]
Epoch 1, training loss 0.164:  74%|███████▎  | 134/182 [02:37<00:56,  1.18s/it]
Epoch 1, training loss 0.173:  74%|███████▎  | 134/182 [02:38<00:56,  1.18s/it]
Epoch 1, training loss 0.173:  74%|███████▍  | 135/182 [02:39<00:55,  1.18s/it]
Epoch 1, training loss 0.172:  74%|███████▍  | 135/182 [02:39<00:55,  1.18s/it]
Epoch 1, training loss 0.172:  75%|███████▍  | 136/182 [02:40<00:54,  1.18s/it]
Epoch 1, training loss 0.172:  75%|███████▍  | 136/182 [02:40<00:54,  1.18s/it]
Epoch 1, training loss 0.172:  75%|███████▌  | 137/182 [02:41<00:53,  1.18s/it]
Epoch 1, training loss 0.171:  75%|███████▌  | 137/182 [02:42<00:53,  1.18s/it]
Epoch 1, training loss 0.171:  76%|███████▌  | 138/182 [02:42<00:51,  1.18s/it]
Epoch 1, training loss 0.171:  76%|███████▌  | 138/182 [02:43<00:52,  1.18s/it]
Epoch 1, training loss 0.171:  76%|███████▋  | 139/182 [02:43<00:50,  1.18s/it]
Epoch 1, training loss 0.171:  76%|███████▋  | 139/182 [02:44<00:50,  1.18s/it]
Epoch 1, training loss 0.171:  77%|███████▋  | 140/182 [02:44<00:49,  1.18s/it]
Epoch 1, training loss 0.170:  77%|███████▋  | 140/182 [02:45<00:49,  1.18s/it]
Epoch 1, training loss 0.170:  77%|███████▋  | 141/182 [02:45<00:48,  1.18s/it]
Epoch 1, training loss 0.170:  77%|███████▋  | 141/182 [02:46<00:48,  1.18s/it]
Epoch 1, training loss 0.170:  78%|███████▊  | 142/182 [02:47<00:47,  1.18s/it]
Epoch 1, training loss 0.172:  78%|███████▊  | 142/182 [02:47<00:47,  1.18s/it]
Epoch 1, training loss 0.172:  79%|███████▊  | 143/182 [02:48<00:45,  1.18s/it]
Epoch 1, training loss 0.172:  79%|███████▊  | 143/182 [02:48<00:46,  1.18s/it]
Epoch 1, training loss 0.172:  79%|███████▉  | 144/182 [02:49<00:44,  1.18s/it]
Epoch 1, training loss 0.172:  79%|███████▉  | 144/182 [02:50<00:44,  1.18s/it]
Epoch 1, training loss 0.172:  80%|███████▉  | 145/182 [02:50<00:43,  1.18s/it]
Epoch 1, training loss 0.171:  80%|███████▉  | 145/182 [02:51<00:43,  1.18s/it]
Epoch 1, training loss 0.171:  80%|████████  | 146/182 [02:51<00:42,  1.18s/it]
Epoch 1, training loss 0.170:  80%|████████  | 146/182 [02:52<00:42,  1.18s/it]
Epoch 1, training loss 0.170:  81%|████████  | 147/182 [02:52<00:41,  1.18s/it]
Epoch 1, training loss 0.169:  81%|████████  | 147/182 [02:53<00:41,  1.18s/it]
Epoch 1, training loss 0.169:  81%|████████▏ | 148/182 [02:54<00:40,  1.18s/it]
Epoch 1, training loss 0.171:  81%|████████▏ | 148/182 [02:54<00:40,  1.18s/it]
Epoch 1, training loss 0.171:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 1, training loss 0.172:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 1, training loss 0.172:  82%|████████▏ | 150/182 [02:56<00:37,  1.18s/it]
Epoch 1, training loss 0.172:  82%|████████▏ | 150/182 [02:57<00:37,  1.18s/it]
Epoch 1, training loss 0.172:  83%|████████▎ | 151/182 [02:57<00:36,  1.18s/it]
Epoch 1, training loss 0.176:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 1, training loss 0.176:  84%|████████▎ | 152/182 [02:58<00:35,  1.18s/it]
Epoch 1, training loss 0.176:  84%|████████▎ | 152/182 [02:59<00:35,  1.18s/it]
Epoch 1, training loss 0.176:  84%|████████▍ | 153/182 [02:59<00:34,  1.18s/it]
Epoch 1, training loss 0.176:  84%|████████▍ | 153/182 [03:00<00:34,  1.18s/it]
Epoch 1, training loss 0.176:  85%|████████▍ | 154/182 [03:01<00:32,  1.18s/it]
Epoch 1, training loss 0.175:  85%|████████▍ | 154/182 [03:01<00:33,  1.18s/it]
Epoch 1, training loss 0.175:  85%|████████▌ | 155/182 [03:02<00:31,  1.18s/it]
Epoch 1, training loss 0.175:  85%|████████▌ | 155/182 [03:02<00:31,  1.18s/it]
Epoch 1, training loss 0.175:  86%|████████▌ | 156/182 [03:03<00:30,  1.17s/it]
Epoch 1, training loss 0.174:  86%|████████▌ | 156/182 [03:03<00:30,  1.18s/it]
Epoch 1, training loss 0.174:  86%|████████▋ | 157/182 [03:04<00:29,  1.17s/it]
Epoch 1, training loss 0.174:  86%|████████▋ | 157/182 [03:04<00:29,  1.18s/it]
Epoch 1, training loss 0.174:  87%|████████▋ | 158/182 [03:05<00:28,  1.17s/it]
Epoch 1, training loss 0.173:  87%|████████▋ | 158/182 [03:06<00:28,  1.18s/it]
Epoch 1, training loss 0.173:  87%|████████▋ | 159/182 [03:06<00:26,  1.17s/it]
Epoch 1, training loss 0.174:  87%|████████▋ | 159/182 [03:07<00:27,  1.18s/it]
Epoch 1, training loss 0.174:  88%|████████▊ | 160/182 [03:07<00:25,  1.17s/it]
Epoch 1, training loss 0.175:  88%|████████▊ | 160/182 [03:08<00:25,  1.18s/it]
Epoch 1, training loss 0.175:  88%|████████▊ | 161/182 [03:08<00:24,  1.17s/it]
Epoch 1, training loss 0.174:  88%|████████▊ | 161/182 [03:09<00:24,  1.18s/it]
Epoch 1, training loss 0.174:  89%|████████▉ | 162/182 [03:09<00:23,  1.17s/it]
Epoch 1, training loss 0.174:  89%|████████▉ | 162/182 [03:10<00:23,  1.18s/it]
Epoch 1, training loss 0.174:  90%|████████▉ | 163/182 [03:11<00:22,  1.17s/it]
Epoch 1, training loss 0.174:  90%|████████▉ | 163/182 [03:11<00:22,  1.18s/it]
Epoch 1, training loss 0.174:  90%|█████████ | 164/182 [03:12<00:21,  1.17s/it]
Epoch 1, training loss 0.173:  90%|█████████ | 164/182 [03:12<00:21,  1.18s/it]
Epoch 1, training loss 0.173:  91%|█████████ | 165/182 [03:13<00:19,  1.17s/it]
Epoch 1, training loss 0.173:  91%|█████████ | 165/182 [03:13<00:19,  1.18s/it]
Epoch 1, training loss 0.173:  91%|█████████ | 166/182 [03:14<00:18,  1.17s/it]
Epoch 1, training loss 0.174:  91%|█████████ | 166/182 [03:15<00:18,  1.17s/it]
Epoch 1, training loss 0.174:  92%|█████████▏| 167/182 [03:15<00:17,  1.17s/it]
Epoch 1, training loss 0.174:  92%|█████████▏| 167/182 [03:16<00:17,  1.17s/it]
Epoch 1, training loss 0.174:  92%|█████████▏| 168/182 [03:16<00:16,  1.17s/it]
Epoch 1, training loss 0.174:  92%|█████████▏| 168/182 [03:17<00:16,  1.17s/it]
Epoch 1, training loss 0.174:  93%|█████████▎| 169/182 [03:17<00:15,  1.17s/it]
Epoch 1, training loss 0.174:  93%|█████████▎| 169/182 [03:18<00:15,  1.17s/it]
Epoch 1, training loss 0.174:  93%|█████████▎| 170/182 [03:18<00:14,  1.17s/it]
Epoch 1, training loss 0.173:  93%|█████████▎| 170/182 [03:19<00:14,  1.17s/it]
Epoch 1, training loss 0.173:  94%|█████████▍| 171/182 [03:20<00:12,  1.17s/it]
Epoch 1, training loss 0.173:  94%|█████████▍| 171/182 [03:20<00:12,  1.17s/it]
Epoch 1, training loss 0.173:  95%|█████████▍| 172/182 [03:21<00:11,  1.17s/it]
Epoch 1, training loss 0.173:  95%|█████████▍| 172/182 [03:21<00:11,  1.17s/it]
Epoch 1, training loss 0.173:  95%|█████████▌| 173/182 [03:22<00:10,  1.17s/it]
Epoch 1, training loss 0.173:  95%|█████████▌| 173/182 [03:22<00:10,  1.17s/it]
Epoch 1, training loss 0.173:  96%|█████████▌| 174/182 [03:23<00:09,  1.17s/it]
Epoch 1, training loss 0.173:  96%|█████████▌| 174/182 [03:24<00:09,  1.17s/it]
Epoch 1, training loss 0.173:  96%|█████████▌| 175/182 [03:24<00:08,  1.17s/it]
Epoch 1, training loss 0.172:  96%|█████████▌| 175/182 [03:25<00:08,  1.17s/it]
Epoch 1, training loss 0.172:  97%|█████████▋| 176/182 [03:25<00:07,  1.17s/it]
Epoch 1, training loss 0.172:  97%|█████████▋| 176/182 [03:26<00:07,  1.17s/it]
Epoch 1, training loss 0.172:  97%|█████████▋| 177/182 [03:26<00:05,  1.17s/it]
Epoch 1, training loss 0.171:  97%|█████████▋| 177/182 [03:27<00:05,  1.17s/it]
Epoch 1, training loss 0.171:  98%|█████████▊| 178/182 [03:27<00:04,  1.17s/it]
Epoch 1, training loss 0.178:  98%|█████████▊| 178/182 [03:28<00:04,  1.17s/it]
Epoch 1, training loss 0.178:  98%|█████████▊| 179/182 [03:28<00:03,  1.17s/it]
Epoch 1, training loss 0.177:  98%|█████████▊| 179/182 [03:29<00:03,  1.17s/it]
Epoch 1, training loss 0.177:  99%|█████████▉| 180/182 [03:30<00:02,  1.17s/it]
Epoch 1, training loss 0.176:  99%|█████████▉| 180/182 [03:30<00:02,  1.17s/it]
Epoch 1, training loss 0.176:  99%|█████████▉| 181/182 [03:31<00:01,  1.17s/it]
Epoch 1, training loss 0.175:  99%|█████████▉| 181/182 [03:31<00:01,  1.17s/it]
Epoch 1, training loss 0.175: 100%|██████████| 182/182 [03:32<00:00,  1.17s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 1, validation pixAcc: 0.965, mIoU: 0.566:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 1, validation pixAcc: 0.965, mIoU: 0.566:   1%|          | 1/91 [00:04<06:33,  4.38s/it]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.715:   1%|          | 1/91 [00:04<07:14,  4.83s/it]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.715:   2%|▏         | 2/91 [00:04<03:34,  2.41s/it]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.730:   2%|▏         | 2/91 [00:05<03:54,  2.64s/it]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.730:   3%|▎         | 3/91 [00:05<02:34,  1.76s/it]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.759:   3%|▎         | 3/91 [00:05<02:46,  1.89s/it]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.759:   4%|▍         | 4/91 [00:05<02:03,  1.42s/it]
Epoch 1, validation pixAcc: 0.969, mIoU: 0.853:   4%|▍         | 4/91 [00:06<02:13,  1.53s/it]
Epoch 1, validation pixAcc: 0.969, mIoU: 0.853:   5%|▌         | 5/91 [00:06<01:45,  1.23s/it]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.852:   5%|▌         | 5/91 [00:06<01:54,  1.33s/it]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.852:   7%|▋         | 6/91 [00:06<01:33,  1.11s/it]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.850:   7%|▋         | 6/91 [00:07<01:40,  1.18s/it]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.850:   8%|▊         | 7/91 [00:07<01:25,  1.01s/it]
Epoch 1, validation pixAcc: 0.966, mIoU: 0.839:   8%|▊         | 7/91 [00:07<01:30,  1.07s/it]
Epoch 1, validation pixAcc: 0.966, mIoU: 0.839:   9%|▉         | 8/91 [00:07<01:18,  1.06it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.843:   9%|▉         | 8/91 [00:07<01:22,  1.00it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.843:  10%|▉         | 9/91 [00:07<01:12,  1.13it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.857:  10%|▉         | 9/91 [00:08<01:16,  1.07it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.857:  11%|█         | 10/91 [00:08<01:08,  1.19it/s]
Epoch 1, validation pixAcc: 0.969, mIoU: 0.856:  11%|█         | 10/91 [00:08<01:11,  1.13it/s]
Epoch 1, validation pixAcc: 0.969, mIoU: 0.856:  12%|█▏        | 11/91 [00:08<01:04,  1.24it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.854:  12%|█▏        | 11/91 [00:09<01:07,  1.19it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.854:  13%|█▎        | 12/91 [00:09<01:00,  1.30it/s]
Epoch 1, validation pixAcc: 0.969, mIoU: 0.850:  13%|█▎        | 12/91 [00:09<01:03,  1.24it/s]
Epoch 1, validation pixAcc: 0.969, mIoU: 0.850:  14%|█▍        | 13/91 [00:09<00:58,  1.34it/s]
Epoch 1, validation pixAcc: 0.969, mIoU: 0.862:  14%|█▍        | 13/91 [00:10<01:00,  1.28it/s]
Epoch 1, validation pixAcc: 0.969, mIoU: 0.862:  15%|█▌        | 14/91 [00:10<00:55,  1.38it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.859:  15%|█▌        | 14/91 [00:10<00:58,  1.32it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.859:  16%|█▋        | 15/91 [00:10<00:53,  1.42it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.861:  16%|█▋        | 15/91 [00:11<00:55,  1.36it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.861:  18%|█▊        | 16/91 [00:11<00:51,  1.45it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.858:  18%|█▊        | 16/91 [00:11<00:53,  1.40it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.858:  19%|█▊        | 17/91 [00:11<00:49,  1.49it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.861:  19%|█▊        | 17/91 [00:11<00:51,  1.44it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.861:  20%|█▉        | 18/91 [00:11<00:47,  1.52it/s]
Epoch 1, validation pixAcc: 0.967, mIoU: 0.856:  20%|█▉        | 18/91 [00:12<00:49,  1.48it/s]
Epoch 1, validation pixAcc: 0.967, mIoU: 0.856:  21%|██        | 19/91 [00:12<00:46,  1.56it/s]
Epoch 1, validation pixAcc: 0.965, mIoU: 0.850:  21%|██        | 19/91 [00:12<00:47,  1.51it/s]
Epoch 1, validation pixAcc: 0.965, mIoU: 0.850:  22%|██▏       | 20/91 [00:12<00:44,  1.59it/s]
Epoch 1, validation pixAcc: 0.967, mIoU: 0.855:  22%|██▏       | 20/91 [00:13<00:46,  1.53it/s]
Epoch 1, validation pixAcc: 0.967, mIoU: 0.855:  23%|██▎       | 21/91 [00:13<00:43,  1.61it/s]
Epoch 1, validation pixAcc: 0.967, mIoU: 0.857:  23%|██▎       | 21/91 [00:13<00:44,  1.56it/s]
Epoch 1, validation pixAcc: 0.967, mIoU: 0.857:  24%|██▍       | 22/91 [00:13<00:42,  1.63it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.860:  24%|██▍       | 22/91 [00:13<00:43,  1.58it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.860:  25%|██▌       | 23/91 [00:13<00:41,  1.65it/s]
Epoch 1, validation pixAcc: 0.966, mIoU: 0.856:  25%|██▌       | 23/91 [00:14<00:42,  1.60it/s]
Epoch 1, validation pixAcc: 0.966, mIoU: 0.856:  26%|██▋       | 24/91 [00:14<00:40,  1.67it/s]
Epoch 1, validation pixAcc: 0.967, mIoU: 0.857:  26%|██▋       | 24/91 [00:14<00:41,  1.62it/s]
Epoch 1, validation pixAcc: 0.967, mIoU: 0.857:  27%|██▋       | 25/91 [00:14<00:39,  1.69it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.859:  27%|██▋       | 25/91 [00:15<00:40,  1.65it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.859:  29%|██▊       | 26/91 [00:15<00:37,  1.71it/s]
Epoch 1, validation pixAcc: 0.967, mIoU: 0.861:  29%|██▊       | 26/91 [00:15<00:39,  1.66it/s]
Epoch 1, validation pixAcc: 0.967, mIoU: 0.861:  30%|██▉       | 27/91 [00:15<00:37,  1.73it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.864:  30%|██▉       | 27/91 [00:16<00:38,  1.68it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.864:  31%|███       | 28/91 [00:16<00:36,  1.74it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.864:  31%|███       | 28/91 [00:16<00:37,  1.69it/s]
Epoch 1, validation pixAcc: 0.968, mIoU: 0.864:  32%|███▏      | 29/91 [00:16<00:35,  1.75it/s]
Epoch 1, validation pixAcc: 0.969, mIoU: 0.866:  32%|███▏      | 29/91 [00:17<00:36,  1.70it/s]
Epoch 1, validation pixAcc: 0.969, mIoU: 0.866:  33%|███▎      | 30/91 [00:17<00:34,  1.76it/s]
Epoch 1, validation pixAcc: 0.969, mIoU: 0.868:  33%|███▎      | 30/91 [00:17<00:35,  1.72it/s]
Epoch 1, validation pixAcc: 0.969, mIoU: 0.868:  34%|███▍      | 31/91 [00:17<00:33,  1.78it/s]
Epoch 1, validation pixAcc: 0.969, mIoU: 0.870:  34%|███▍      | 31/91 [00:17<00:34,  1.73it/s]
Epoch 1, validation pixAcc: 0.969, mIoU: 0.870:  35%|███▌      | 32/91 [00:17<00:32,  1.79it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.871:  35%|███▌      | 32/91 [00:18<00:33,  1.75it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.871:  36%|███▋      | 33/91 [00:18<00:32,  1.80it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.873:  36%|███▋      | 33/91 [00:18<00:32,  1.76it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.873:  37%|███▋      | 34/91 [00:18<00:31,  1.81it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.873:  37%|███▋      | 34/91 [00:19<00:32,  1.77it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.873:  38%|███▊      | 35/91 [00:19<00:30,  1.82it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.873:  38%|███▊      | 35/91 [00:19<00:31,  1.78it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.873:  40%|███▉      | 36/91 [00:19<00:29,  1.84it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.873:  40%|███▉      | 36/91 [00:20<00:30,  1.79it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.873:  41%|████      | 37/91 [00:20<00:29,  1.84it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.873:  41%|████      | 37/91 [00:20<00:29,  1.80it/s]
Epoch 1, validation pixAcc: 0.970, mIoU: 0.873:  42%|████▏     | 38/91 [00:20<00:28,  1.85it/s]
Epoch 1, validation pixAcc: 0.971, mIoU: 0.874:  42%|████▏     | 38/91 [00:20<00:29,  1.82it/s]
Epoch 1, validation pixAcc: 0.971, mIoU: 0.874:  43%|████▎     | 39/91 [00:20<00:27,  1.86it/s]
Epoch 1, validation pixAcc: 0.971, mIoU: 0.876:  43%|████▎     | 39/91 [00:21<00:28,  1.83it/s]
Epoch 1, validation pixAcc: 0.971, mIoU: 0.876:  44%|████▍     | 40/91 [00:21<00:27,  1.87it/s]
Epoch 1, validation pixAcc: 0.971, mIoU: 0.876:  44%|████▍     | 40/91 [00:21<00:27,  1.84it/s]
Epoch 1, validation pixAcc: 0.971, mIoU: 0.876:  45%|████▌     | 41/91 [00:21<00:26,  1.88it/s]
Epoch 1, validation pixAcc: 0.971, mIoU: 0.878:  45%|████▌     | 41/91 [00:22<00:27,  1.85it/s]
Epoch 1, validation pixAcc: 0.971, mIoU: 0.878:  46%|████▌     | 42/91 [00:22<00:25,  1.89it/s]
Epoch 1, validation pixAcc: 0.971, mIoU: 0.878:  46%|████▌     | 42/91 [00:22<00:26,  1.86it/s]
Epoch 1, validation pixAcc: 0.971, mIoU: 0.878:  47%|████▋     | 43/91 [00:22<00:25,  1.90it/s]
Epoch 1, validation pixAcc: 0.972, mIoU: 0.879:  47%|████▋     | 43/91 [00:23<00:25,  1.86it/s]
Epoch 1, validation pixAcc: 0.972, mIoU: 0.879:  48%|████▊     | 44/91 [00:23<00:24,  1.91it/s]
Epoch 1, validation pixAcc: 0.972, mIoU: 0.880:  48%|████▊     | 44/91 [00:23<00:25,  1.87it/s]
Epoch 1, validation pixAcc: 0.972, mIoU: 0.880:  49%|████▉     | 45/91 [00:23<00:24,  1.91it/s]
Epoch 1, validation pixAcc: 0.972, mIoU: 0.881:  49%|████▉     | 45/91 [00:23<00:24,  1.88it/s]
Epoch 1, validation pixAcc: 0.972, mIoU: 0.881:  51%|█████     | 46/91 [00:23<00:23,  1.92it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.882:  51%|█████     | 46/91 [00:24<00:23,  1.89it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.882:  52%|█████▏    | 47/91 [00:24<00:22,  1.93it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.882:  52%|█████▏    | 47/91 [00:24<00:23,  1.90it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.882:  53%|█████▎    | 48/91 [00:24<00:22,  1.94it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.881:  53%|█████▎    | 48/91 [00:25<00:22,  1.91it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.881:  54%|█████▍    | 49/91 [00:25<00:21,  1.94it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.882:  54%|█████▍    | 49/91 [00:25<00:21,  1.91it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.882:  55%|█████▍    | 50/91 [00:25<00:20,  1.95it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.882:  55%|█████▍    | 50/91 [00:25<00:21,  1.92it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.882:  56%|█████▌    | 51/91 [00:25<00:20,  1.96it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.883:  56%|█████▌    | 51/91 [00:26<00:20,  1.93it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.883:  57%|█████▋    | 52/91 [00:26<00:19,  1.97it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.883:  57%|█████▋    | 52/91 [00:26<00:20,  1.94it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.883:  58%|█████▊    | 53/91 [00:26<00:19,  1.97it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.883:  58%|█████▊    | 53/91 [00:27<00:19,  1.94it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.883:  59%|█████▉    | 54/91 [00:27<00:18,  1.98it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.883:  59%|█████▉    | 54/91 [00:27<00:18,  1.95it/s]
Epoch 1, validation pixAcc: 0.973, mIoU: 0.883:  60%|██████    | 55/91 [00:27<00:18,  1.98it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.884:  60%|██████    | 55/91 [00:28<00:18,  1.95it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.884:  62%|██████▏   | 56/91 [00:28<00:17,  1.99it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.884:  62%|██████▏   | 56/91 [00:28<00:17,  1.96it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.884:  63%|██████▎   | 57/91 [00:28<00:17,  1.99it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.885:  63%|██████▎   | 57/91 [00:29<00:17,  1.96it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.885:  64%|██████▎   | 58/91 [00:29<00:16,  2.00it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.884:  64%|██████▎   | 58/91 [00:29<00:16,  1.97it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.884:  65%|██████▍   | 59/91 [00:29<00:15,  2.00it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.884:  65%|██████▍   | 59/91 [00:29<00:16,  1.98it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.884:  66%|██████▌   | 60/91 [00:29<00:15,  2.01it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.886:  66%|██████▌   | 60/91 [00:30<00:15,  1.98it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.886:  67%|██████▋   | 61/91 [00:30<00:14,  2.01it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.886:  67%|██████▋   | 61/91 [00:30<00:15,  1.99it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.886:  68%|██████▊   | 62/91 [00:30<00:14,  2.02it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.887:  68%|██████▊   | 62/91 [00:31<00:14,  1.99it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.887:  69%|██████▉   | 63/91 [00:31<00:13,  2.02it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.888:  69%|██████▉   | 63/91 [00:31<00:14,  1.99it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.888:  70%|███████   | 64/91 [00:31<00:13,  2.03it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.888:  70%|███████   | 64/91 [00:32<00:13,  2.00it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.888:  71%|███████▏  | 65/91 [00:32<00:12,  2.03it/s]
Epoch 1, validation pixAcc: 0.976, mIoU: 0.889:  71%|███████▏  | 65/91 [00:32<00:12,  2.00it/s]
Epoch 1, validation pixAcc: 0.976, mIoU: 0.889:  73%|███████▎  | 66/91 [00:32<00:12,  2.03it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.888:  73%|███████▎  | 66/91 [00:32<00:12,  2.01it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.888:  74%|███████▎  | 67/91 [00:32<00:11,  2.04it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.888:  74%|███████▎  | 67/91 [00:33<00:11,  2.01it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.888:  75%|███████▍  | 68/91 [00:33<00:11,  2.04it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.889:  75%|███████▍  | 68/91 [00:33<00:11,  2.01it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.889:  76%|███████▌  | 69/91 [00:33<00:10,  2.04it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.889:  76%|███████▌  | 69/91 [00:34<00:10,  2.02it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.889:  77%|███████▋  | 70/91 [00:34<00:10,  2.05it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  77%|███████▋  | 70/91 [00:34<00:10,  2.02it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  78%|███████▊  | 71/91 [00:34<00:09,  2.05it/s]
Epoch 1, validation pixAcc: 0.976, mIoU: 0.890:  78%|███████▊  | 71/91 [00:35<00:09,  2.02it/s]
Epoch 1, validation pixAcc: 0.976, mIoU: 0.890:  79%|███████▉  | 72/91 [00:35<00:09,  2.05it/s]
Epoch 1, validation pixAcc: 0.976, mIoU: 0.890:  79%|███████▉  | 72/91 [00:35<00:09,  2.03it/s]
Epoch 1, validation pixAcc: 0.976, mIoU: 0.890:  80%|████████  | 73/91 [00:35<00:08,  2.06it/s]
Epoch 1, validation pixAcc: 0.976, mIoU: 0.890:  80%|████████  | 73/91 [00:35<00:08,  2.03it/s]
Epoch 1, validation pixAcc: 0.976, mIoU: 0.890:  81%|████████▏ | 74/91 [00:35<00:08,  2.06it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  81%|████████▏ | 74/91 [00:36<00:08,  2.03it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  82%|████████▏ | 75/91 [00:36<00:07,  2.06it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.888:  82%|████████▏ | 75/91 [00:36<00:07,  2.04it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.888:  84%|████████▎ | 76/91 [00:36<00:07,  2.07it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.889:  84%|████████▎ | 76/91 [00:37<00:07,  2.04it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.889:  85%|████████▍ | 77/91 [00:37<00:06,  2.07it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.889:  85%|████████▍ | 77/91 [00:37<00:06,  2.05it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.889:  86%|████████▌ | 78/91 [00:37<00:06,  2.07it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.888:  86%|████████▌ | 78/91 [00:38<00:06,  2.05it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.888:  87%|████████▋ | 79/91 [00:38<00:05,  2.08it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  87%|████████▋ | 79/91 [00:38<00:05,  2.06it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  88%|████████▊ | 80/91 [00:38<00:05,  2.08it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  88%|████████▊ | 80/91 [00:38<00:05,  2.06it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  89%|████████▉ | 81/91 [00:38<00:04,  2.08it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  89%|████████▉ | 81/91 [00:39<00:04,  2.06it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  90%|█████████ | 82/91 [00:39<00:04,  2.08it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.891:  90%|█████████ | 82/91 [00:39<00:04,  2.06it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.891:  91%|█████████ | 83/91 [00:39<00:03,  2.09it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.891:  91%|█████████ | 83/91 [00:40<00:03,  2.06it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.891:  92%|█████████▏| 84/91 [00:40<00:03,  2.09it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  92%|█████████▏| 84/91 [00:40<00:03,  2.07it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  93%|█████████▎| 85/91 [00:40<00:02,  2.09it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  93%|█████████▎| 85/91 [00:41<00:02,  2.07it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  95%|█████████▍| 86/91 [00:41<00:02,  2.10it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  95%|█████████▍| 86/91 [00:41<00:02,  2.07it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.890:  96%|█████████▌| 87/91 [00:41<00:01,  2.10it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.889:  96%|█████████▌| 87/91 [00:41<00:01,  2.08it/s]
Epoch 1, validation pixAcc: 0.975, mIoU: 0.889:  97%|█████████▋| 88/91 [00:41<00:01,  2.10it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.888:  97%|█████████▋| 88/91 [00:42<00:01,  2.08it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.888:  98%|█████████▊| 89/91 [00:42<00:00,  2.10it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.889:  98%|█████████▊| 89/91 [00:42<00:00,  2.08it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.889:  99%|█████████▉| 90/91 [00:42<00:00,  2.11it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.888:  99%|█████████▉| 90/91 [00:43<00:00,  2.09it/s]
Epoch 1, validation pixAcc: 0.974, mIoU: 0.888: 100%|██████████| 91/91 [00:43<00:00,  2.11it/s]

  0%|          | 0/182 [00:00<?, ?it/s]
Epoch 2, training loss 0.065:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 2, training loss 0.065:   1%|          | 1/182 [00:05<15:30,  5.14s/it]
Epoch 2, training loss 0.120:   1%|          | 1/182 [00:05<17:34,  5.83s/it]
Epoch 2, training loss 0.120:   1%|          | 2/182 [00:06<09:27,  3.15s/it]
Epoch 2, training loss 0.230:   1%|          | 2/182 [00:06<10:29,  3.50s/it]
Epoch 2, training loss 0.230:   2%|▏         | 3/182 [00:07<07:27,  2.50s/it]
Epoch 2, training loss 0.202:   2%|▏         | 3/182 [00:08<08:07,  2.72s/it]
Epoch 2, training loss 0.202:   2%|▏         | 4/182 [00:08<06:25,  2.17s/it]
Epoch 2, training loss 0.236:   2%|▏         | 4/182 [00:09<06:51,  2.31s/it]
Epoch 2, training loss 0.236:   3%|▎         | 5/182 [00:09<05:45,  1.95s/it]
Epoch 2, training loss 0.203:   3%|▎         | 5/182 [00:10<06:12,  2.10s/it]
Epoch 2, training loss 0.203:   3%|▎         | 6/182 [00:11<05:23,  1.84s/it]
Epoch 2, training loss 0.188:   3%|▎         | 6/182 [00:11<05:42,  1.95s/it]
Epoch 2, training loss 0.188:   4%|▍         | 7/182 [00:12<05:04,  1.74s/it]
Epoch 2, training loss 0.171:   4%|▍         | 7/182 [00:12<05:20,  1.83s/it]
Epoch 2, training loss 0.171:   4%|▍         | 8/182 [00:13<04:49,  1.66s/it]
Epoch 2, training loss 0.159:   4%|▍         | 8/182 [00:13<05:03,  1.74s/it]
Epoch 2, training loss 0.159:   5%|▍         | 9/182 [00:14<04:37,  1.60s/it]
Epoch 2, training loss 0.156:   5%|▍         | 9/182 [00:15<04:50,  1.68s/it]
Epoch 2, training loss 0.156:   5%|▌         | 10/182 [00:15<04:28,  1.56s/it]
Epoch 2, training loss 0.158:   5%|▌         | 10/182 [00:16<04:41,  1.64s/it]
Epoch 2, training loss 0.158:   6%|▌         | 11/182 [00:16<04:22,  1.53s/it]
Epoch 2, training loss 0.155:   6%|▌         | 11/182 [00:17<04:32,  1.59s/it]
Epoch 2, training loss 0.155:   7%|▋         | 12/182 [00:18<04:15,  1.50s/it]
Epoch 2, training loss 0.152:   7%|▋         | 12/182 [00:18<04:25,  1.56s/it]
Epoch 2, training loss 0.152:   7%|▋         | 13/182 [00:19<04:10,  1.48s/it]
Epoch 2, training loss 0.147:   7%|▋         | 13/182 [00:19<04:18,  1.53s/it]
Epoch 2, training loss 0.147:   8%|▊         | 14/182 [00:20<04:05,  1.46s/it]
Epoch 2, training loss 0.148:   8%|▊         | 14/182 [00:21<04:13,  1.51s/it]
Epoch 2, training loss 0.148:   8%|▊         | 15/182 [00:21<04:00,  1.44s/it]
Epoch 2, training loss 0.149:   8%|▊         | 15/182 [00:22<04:07,  1.48s/it]
Epoch 2, training loss 0.149:   9%|▉         | 16/182 [00:22<03:55,  1.42s/it]
Epoch 2, training loss 0.149:   9%|▉         | 16/182 [00:23<04:02,  1.46s/it]
Epoch 2, training loss 0.149:   9%|▉         | 17/182 [00:23<03:52,  1.41s/it]
Epoch 2, training loss 0.145:   9%|▉         | 17/182 [00:24<03:58,  1.44s/it]
Epoch 2, training loss 0.145:  10%|▉         | 18/182 [00:25<03:48,  1.39s/it]
Epoch 2, training loss 0.143:  10%|▉         | 18/182 [00:25<03:53,  1.43s/it]
Epoch 2, training loss 0.143:  10%|█         | 19/182 [00:26<03:44,  1.38s/it]
Epoch 2, training loss 0.141:  10%|█         | 19/182 [00:26<03:49,  1.41s/it]
Epoch 2, training loss 0.141:  11%|█         | 20/182 [00:27<03:41,  1.36s/it]
Epoch 2, training loss 0.137:  11%|█         | 20/182 [00:27<03:46,  1.40s/it]
Epoch 2, training loss 0.137:  12%|█▏        | 21/182 [00:28<03:37,  1.35s/it]
Epoch 2, training loss 0.137:  12%|█▏        | 21/182 [00:28<03:42,  1.38s/it]
Epoch 2, training loss 0.137:  12%|█▏        | 22/182 [00:29<03:34,  1.34s/it]
Epoch 2, training loss 0.136:  12%|█▏        | 22/182 [00:30<03:38,  1.37s/it]
Epoch 2, training loss 0.136:  13%|█▎        | 23/182 [00:30<03:31,  1.33s/it]
Epoch 2, training loss 0.137:  13%|█▎        | 23/182 [00:31<03:35,  1.35s/it]
Epoch 2, training loss 0.137:  13%|█▎        | 24/182 [00:31<03:28,  1.32s/it]
Epoch 2, training loss 0.134:  13%|█▎        | 24/182 [00:32<03:32,  1.35s/it]
Epoch 2, training loss 0.134:  14%|█▎        | 25/182 [00:32<03:26,  1.31s/it]
Epoch 2, training loss 0.134:  14%|█▎        | 25/182 [00:33<03:30,  1.34s/it]
Epoch 2, training loss 0.134:  14%|█▍        | 26/182 [00:34<03:24,  1.31s/it]
Epoch 2, training loss 0.131:  14%|█▍        | 26/182 [00:34<03:28,  1.34s/it]
Epoch 2, training loss 0.131:  15%|█▍        | 27/182 [00:35<03:22,  1.30s/it]
Epoch 2, training loss 0.129:  15%|█▍        | 27/182 [00:35<03:25,  1.33s/it]
Epoch 2, training loss 0.129:  15%|█▌        | 28/182 [00:36<03:20,  1.30s/it]
Epoch 2, training loss 0.133:  15%|█▌        | 28/182 [00:36<03:23,  1.32s/it]
Epoch 2, training loss 0.133:  16%|█▌        | 29/182 [00:37<03:17,  1.29s/it]
Epoch 2, training loss 0.131:  16%|█▌        | 29/182 [00:38<03:20,  1.31s/it]
Epoch 2, training loss 0.131:  16%|█▋        | 30/182 [00:38<03:15,  1.29s/it]
Epoch 2, training loss 0.128:  16%|█▋        | 30/182 [00:39<03:18,  1.31s/it]
Epoch 2, training loss 0.128:  17%|█▋        | 31/182 [00:39<03:13,  1.28s/it]
Epoch 2, training loss 0.125:  17%|█▋        | 31/182 [00:40<03:16,  1.30s/it]
Epoch 2, training loss 0.125:  18%|█▊        | 32/182 [00:40<03:11,  1.27s/it]
Epoch 2, training loss 0.139:  18%|█▊        | 32/182 [00:41<03:13,  1.29s/it]
Epoch 2, training loss 0.139:  18%|█▊        | 33/182 [00:41<03:09,  1.27s/it]
Epoch 2, training loss 0.139:  18%|█▊        | 33/182 [00:42<03:11,  1.29s/it]
Epoch 2, training loss 0.139:  19%|█▊        | 34/182 [00:42<03:07,  1.26s/it]
Epoch 2, training loss 0.142:  19%|█▊        | 34/182 [00:43<03:09,  1.28s/it]
Epoch 2, training loss 0.142:  19%|█▉        | 35/182 [00:44<03:05,  1.26s/it]
Epoch 2, training loss 0.140:  19%|█▉        | 35/182 [00:44<03:08,  1.28s/it]
Epoch 2, training loss 0.140:  20%|█▉        | 36/182 [00:45<03:03,  1.26s/it]
Epoch 2, training loss 0.142:  20%|█▉        | 36/182 [00:45<03:06,  1.28s/it]
Epoch 2, training loss 0.142:  20%|██        | 37/182 [00:46<03:01,  1.25s/it]
Epoch 2, training loss 0.145:  20%|██        | 37/182 [00:47<03:04,  1.27s/it]
Epoch 2, training loss 0.145:  21%|██        | 38/182 [00:47<03:00,  1.25s/it]
Epoch 2, training loss 0.143:  21%|██        | 38/182 [00:48<03:03,  1.27s/it]
Epoch 2, training loss 0.143:  21%|██▏       | 39/182 [00:48<02:59,  1.25s/it]
Epoch 2, training loss 0.140:  21%|██▏       | 39/182 [00:49<03:01,  1.27s/it]
Epoch 2, training loss 0.140:  22%|██▏       | 40/182 [00:50<02:57,  1.25s/it]
Epoch 2, training loss 0.138:  22%|██▏       | 40/182 [00:50<02:59,  1.27s/it]
Epoch 2, training loss 0.138:  23%|██▎       | 41/182 [00:51<02:55,  1.25s/it]
Epoch 2, training loss 0.137:  23%|██▎       | 41/182 [00:51<02:57,  1.26s/it]
Epoch 2, training loss 0.137:  23%|██▎       | 42/182 [00:52<02:54,  1.24s/it]
Epoch 2, training loss 0.135:  23%|██▎       | 42/182 [00:52<02:56,  1.26s/it]
Epoch 2, training loss 0.135:  24%|██▎       | 43/182 [00:53<02:52,  1.24s/it]
Epoch 2, training loss 0.133:  24%|██▎       | 43/182 [00:53<02:54,  1.26s/it]
Epoch 2, training loss 0.133:  24%|██▍       | 44/182 [00:54<02:50,  1.24s/it]
Epoch 2, training loss 0.135:  24%|██▍       | 44/182 [00:55<02:53,  1.25s/it]
Epoch 2, training loss 0.135:  25%|██▍       | 45/182 [00:55<02:49,  1.24s/it]
Epoch 2, training loss 0.134:  25%|██▍       | 45/182 [00:56<02:51,  1.25s/it]
Epoch 2, training loss 0.134:  25%|██▌       | 46/182 [00:56<02:47,  1.23s/it]
Epoch 2, training loss 0.134:  25%|██▌       | 46/182 [00:57<02:49,  1.25s/it]
Epoch 2, training loss 0.134:  26%|██▌       | 47/182 [00:57<02:46,  1.23s/it]
Epoch 2, training loss 0.133:  26%|██▌       | 47/182 [00:58<02:48,  1.25s/it]
Epoch 2, training loss 0.133:  26%|██▋       | 48/182 [00:59<02:45,  1.23s/it]
Epoch 2, training loss 0.141:  26%|██▋       | 48/182 [00:59<02:46,  1.25s/it]
Epoch 2, training loss 0.141:  27%|██▋       | 49/182 [01:00<02:43,  1.23s/it]
Epoch 2, training loss 0.141:  27%|██▋       | 49/182 [01:00<02:45,  1.24s/it]
Epoch 2, training loss 0.141:  27%|██▋       | 50/182 [01:01<02:42,  1.23s/it]
Epoch 2, training loss 0.142:  27%|██▋       | 50/182 [01:02<02:43,  1.24s/it]
Epoch 2, training loss 0.142:  28%|██▊       | 51/182 [01:02<02:40,  1.23s/it]
Epoch 2, training loss 0.143:  28%|██▊       | 51/182 [01:03<02:42,  1.24s/it]
Epoch 2, training loss 0.143:  29%|██▊       | 52/182 [01:03<02:39,  1.22s/it]
Epoch 2, training loss 0.144:  29%|██▊       | 52/182 [01:04<02:40,  1.24s/it]
Epoch 2, training loss 0.144:  29%|██▉       | 53/182 [01:04<02:37,  1.22s/it]
Epoch 2, training loss 0.142:  29%|██▉       | 53/182 [01:05<02:39,  1.23s/it]
Epoch 2, training loss 0.142:  30%|██▉       | 54/182 [01:05<02:36,  1.22s/it]
Epoch 2, training loss 0.142:  30%|██▉       | 54/182 [01:06<02:37,  1.23s/it]
Epoch 2, training loss 0.142:  30%|███       | 55/182 [01:07<02:35,  1.22s/it]
Epoch 2, training loss 0.142:  30%|███       | 55/182 [01:07<02:36,  1.23s/it]
Epoch 2, training loss 0.142:  31%|███       | 56/182 [01:08<02:33,  1.22s/it]
Epoch 2, training loss 0.143:  31%|███       | 56/182 [01:09<02:35,  1.23s/it]
Epoch 2, training loss 0.143:  31%|███▏      | 57/182 [01:09<02:32,  1.22s/it]
Epoch 2, training loss 0.147:  31%|███▏      | 57/182 [01:10<02:34,  1.23s/it]
Epoch 2, training loss 0.147:  32%|███▏      | 58/182 [01:10<02:31,  1.22s/it]
Epoch 2, training loss 0.145:  32%|███▏      | 58/182 [01:11<02:32,  1.23s/it]
Epoch 2, training loss 0.145:  32%|███▏      | 59/182 [01:11<02:29,  1.22s/it]
Epoch 2, training loss 0.143:  32%|███▏      | 59/182 [01:12<02:31,  1.23s/it]
Epoch 2, training loss 0.143:  33%|███▎      | 60/182 [01:12<02:28,  1.22s/it]
Epoch 2, training loss 0.142:  33%|███▎      | 60/182 [01:13<02:29,  1.23s/it]
Epoch 2, training loss 0.142:  34%|███▎      | 61/182 [01:14<02:27,  1.22s/it]
Epoch 2, training loss 0.142:  34%|███▎      | 61/182 [01:14<02:28,  1.23s/it]
Epoch 2, training loss 0.142:  34%|███▍      | 62/182 [01:15<02:25,  1.22s/it]
Epoch 2, training loss 0.147:  34%|███▍      | 62/182 [01:15<02:27,  1.23s/it]
Epoch 2, training loss 0.147:  35%|███▍      | 63/182 [01:16<02:24,  1.21s/it]
Epoch 2, training loss 0.148:  35%|███▍      | 63/182 [01:17<02:25,  1.22s/it]
Epoch 2, training loss 0.148:  35%|███▌      | 64/182 [01:17<02:22,  1.21s/it]
Epoch 2, training loss 0.148:  35%|███▌      | 64/182 [01:18<02:24,  1.22s/it]
Epoch 2, training loss 0.148:  36%|███▌      | 65/182 [01:18<02:21,  1.21s/it]
Epoch 2, training loss 0.150:  36%|███▌      | 65/182 [01:19<02:22,  1.22s/it]
Epoch 2, training loss 0.150:  36%|███▋      | 66/182 [01:19<02:20,  1.21s/it]
Epoch 2, training loss 0.149:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 2, training loss 0.149:  37%|███▋      | 67/182 [01:20<02:18,  1.21s/it]
Epoch 2, training loss 0.149:  37%|███▋      | 67/182 [01:21<02:20,  1.22s/it]
Epoch 2, training loss 0.149:  37%|███▋      | 68/182 [01:22<02:17,  1.21s/it]
Epoch 2, training loss 0.149:  37%|███▋      | 68/182 [01:22<02:18,  1.22s/it]
Epoch 2, training loss 0.149:  38%|███▊      | 69/182 [01:23<02:16,  1.21s/it]
Epoch 2, training loss 0.150:  38%|███▊      | 69/182 [01:24<02:17,  1.22s/it]
Epoch 2, training loss 0.150:  38%|███▊      | 70/182 [01:24<02:15,  1.21s/it]
Epoch 2, training loss 0.149:  38%|███▊      | 70/182 [01:25<02:16,  1.22s/it]
Epoch 2, training loss 0.149:  39%|███▉      | 71/182 [01:25<02:14,  1.21s/it]
Epoch 2, training loss 0.159:  39%|███▉      | 71/182 [01:26<02:14,  1.22s/it]
Epoch 2, training loss 0.159:  40%|███▉      | 72/182 [01:26<02:12,  1.21s/it]
Epoch 2, training loss 0.157:  40%|███▉      | 72/182 [01:27<02:13,  1.22s/it]
Epoch 2, training loss 0.157:  40%|████      | 73/182 [01:28<02:11,  1.21s/it]
Epoch 2, training loss 0.157:  40%|████      | 73/182 [01:28<02:12,  1.21s/it]
Epoch 2, training loss 0.157:  41%|████      | 74/182 [01:29<02:10,  1.20s/it]
Epoch 2, training loss 0.155:  41%|████      | 74/182 [01:29<02:11,  1.21s/it]
Epoch 2, training loss 0.155:  41%|████      | 75/182 [01:30<02:08,  1.20s/it]
Epoch 2, training loss 0.156:  41%|████      | 75/182 [01:30<02:09,  1.21s/it]
Epoch 2, training loss 0.156:  42%|████▏     | 76/182 [01:31<02:07,  1.20s/it]
Epoch 2, training loss 0.156:  42%|████▏     | 76/182 [01:31<02:08,  1.21s/it]
Epoch 2, training loss 0.156:  42%|████▏     | 77/182 [01:32<02:06,  1.20s/it]
Epoch 2, training loss 0.155:  42%|████▏     | 77/182 [01:33<02:06,  1.21s/it]
Epoch 2, training loss 0.155:  43%|████▎     | 78/182 [01:33<02:04,  1.20s/it]
Epoch 2, training loss 0.155:  43%|████▎     | 78/182 [01:34<02:05,  1.21s/it]
Epoch 2, training loss 0.155:  43%|████▎     | 79/182 [01:34<02:03,  1.20s/it]
Epoch 2, training loss 0.154:  43%|████▎     | 79/182 [01:35<02:04,  1.21s/it]
Epoch 2, training loss 0.154:  44%|████▍     | 80/182 [01:35<02:02,  1.20s/it]
Epoch 2, training loss 0.155:  44%|████▍     | 80/182 [01:36<02:03,  1.21s/it]
Epoch 2, training loss 0.155:  45%|████▍     | 81/182 [01:37<02:01,  1.20s/it]
Epoch 2, training loss 0.153:  45%|████▍     | 81/182 [01:37<02:01,  1.21s/it]
Epoch 2, training loss 0.153:  45%|████▌     | 82/182 [01:38<01:59,  1.20s/it]
Epoch 2, training loss 0.164:  45%|████▌     | 82/182 [01:38<02:00,  1.21s/it]
Epoch 2, training loss 0.164:  46%|████▌     | 83/182 [01:39<01:58,  1.20s/it]
Epoch 2, training loss 0.163:  46%|████▌     | 83/182 [01:40<01:59,  1.21s/it]
Epoch 2, training loss 0.163:  46%|████▌     | 84/182 [01:40<01:57,  1.20s/it]
Epoch 2, training loss 0.162:  46%|████▌     | 84/182 [01:41<01:57,  1.20s/it]
Epoch 2, training loss 0.162:  47%|████▋     | 85/182 [01:41<01:55,  1.20s/it]
Epoch 2, training loss 0.161:  47%|████▋     | 85/182 [01:42<01:56,  1.20s/it]
Epoch 2, training loss 0.161:  47%|████▋     | 86/182 [01:42<01:54,  1.19s/it]
Epoch 2, training loss 0.161:  47%|████▋     | 86/182 [01:43<01:55,  1.20s/it]
Epoch 2, training loss 0.161:  48%|████▊     | 87/182 [01:43<01:53,  1.19s/it]
Epoch 2, training loss 0.160:  48%|████▊     | 87/182 [01:44<01:54,  1.20s/it]
Epoch 2, training loss 0.160:  48%|████▊     | 88/182 [01:45<01:52,  1.19s/it]
Epoch 2, training loss 0.160:  48%|████▊     | 88/182 [01:45<01:52,  1.20s/it]
Epoch 2, training loss 0.160:  49%|████▉     | 89/182 [01:46<01:50,  1.19s/it]
Epoch 2, training loss 0.160:  49%|████▉     | 89/182 [01:46<01:51,  1.20s/it]
Epoch 2, training loss 0.160:  49%|████▉     | 90/182 [01:47<01:49,  1.19s/it]
Epoch 2, training loss 0.160:  49%|████▉     | 90/182 [01:48<01:50,  1.20s/it]
Epoch 2, training loss 0.160:  50%|█████     | 91/182 [01:48<01:48,  1.19s/it]
Epoch 2, training loss 0.163:  50%|█████     | 91/182 [01:49<01:49,  1.20s/it]
Epoch 2, training loss 0.163:  51%|█████     | 92/182 [01:49<01:47,  1.19s/it]
Epoch 2, training loss 0.162:  51%|█████     | 92/182 [01:50<01:47,  1.20s/it]
Epoch 2, training loss 0.162:  51%|█████     | 93/182 [01:50<01:46,  1.19s/it]
Epoch 2, training loss 0.166:  51%|█████     | 93/182 [01:51<01:46,  1.20s/it]
Epoch 2, training loss 0.166:  52%|█████▏    | 94/182 [01:52<01:44,  1.19s/it]
Epoch 2, training loss 0.165:  52%|█████▏    | 94/182 [01:52<01:45,  1.20s/it]
Epoch 2, training loss 0.165:  52%|█████▏    | 95/182 [01:53<01:43,  1.19s/it]
Epoch 2, training loss 0.164:  52%|█████▏    | 95/182 [01:53<01:44,  1.20s/it]
Epoch 2, training loss 0.164:  53%|█████▎    | 96/182 [01:54<01:42,  1.19s/it]
Epoch 2, training loss 0.164:  53%|█████▎    | 96/182 [01:54<01:42,  1.20s/it]
Epoch 2, training loss 0.164:  53%|█████▎    | 97/182 [01:55<01:41,  1.19s/it]
Epoch 2, training loss 0.162:  53%|█████▎    | 97/182 [01:56<01:41,  1.20s/it]
Epoch 2, training loss 0.162:  54%|█████▍    | 98/182 [01:56<01:39,  1.19s/it]
Epoch 2, training loss 0.162:  54%|█████▍    | 98/182 [01:57<01:40,  1.20s/it]
Epoch 2, training loss 0.162:  54%|█████▍    | 99/182 [01:57<01:38,  1.19s/it]
Epoch 2, training loss 0.161:  54%|█████▍    | 99/182 [01:58<01:39,  1.20s/it]
Epoch 2, training loss 0.161:  55%|█████▍    | 100/182 [01:58<01:37,  1.19s/it]
Epoch 2, training loss 0.159:  55%|█████▍    | 100/182 [01:59<01:38,  1.20s/it]
Epoch 2, training loss 0.159:  55%|█████▌    | 101/182 [02:00<01:36,  1.19s/it]
Epoch 2, training loss 0.158:  55%|█████▌    | 101/182 [02:00<01:36,  1.20s/it]
Epoch 2, training loss 0.158:  56%|█████▌    | 102/182 [02:01<01:35,  1.19s/it]
Epoch 2, training loss 0.159:  56%|█████▌    | 102/182 [02:02<01:35,  1.20s/it]
Epoch 2, training loss 0.159:  57%|█████▋    | 103/182 [02:02<01:33,  1.19s/it]
Epoch 2, training loss 0.165:  57%|█████▋    | 103/182 [02:03<01:34,  1.20s/it]
Epoch 2, training loss 0.165:  57%|█████▋    | 104/182 [02:03<01:32,  1.19s/it]
Epoch 2, training loss 0.164:  57%|█████▋    | 104/182 [02:04<01:33,  1.20s/it]
Epoch 2, training loss 0.164:  58%|█████▊    | 105/182 [02:04<01:31,  1.19s/it]
Epoch 2, training loss 0.163:  58%|█████▊    | 105/182 [02:05<01:32,  1.19s/it]
Epoch 2, training loss 0.163:  58%|█████▊    | 106/182 [02:05<01:30,  1.19s/it]
Epoch 2, training loss 0.165:  58%|█████▊    | 106/182 [02:06<01:30,  1.19s/it]
Epoch 2, training loss 0.165:  59%|█████▉    | 107/182 [02:07<01:29,  1.19s/it]
Epoch 2, training loss 0.169:  59%|█████▉    | 107/182 [02:07<01:29,  1.19s/it]
Epoch 2, training loss 0.169:  59%|█████▉    | 108/182 [02:08<01:27,  1.19s/it]
Epoch 2, training loss 0.170:  59%|█████▉    | 108/182 [02:08<01:28,  1.19s/it]
Epoch 2, training loss 0.170:  60%|█████▉    | 109/182 [02:09<01:26,  1.19s/it]
Epoch 2, training loss 0.169:  60%|█████▉    | 109/182 [02:10<01:27,  1.19s/it]
Epoch 2, training loss 0.169:  60%|██████    | 110/182 [02:10<01:25,  1.19s/it]
Epoch 2, training loss 0.168:  60%|██████    | 110/182 [02:11<01:25,  1.19s/it]
Epoch 2, training loss 0.168:  61%|██████    | 111/182 [02:11<01:24,  1.19s/it]
Epoch 2, training loss 0.167:  61%|██████    | 111/182 [02:12<01:24,  1.19s/it]
Epoch 2, training loss 0.167:  62%|██████▏   | 112/182 [02:12<01:23,  1.19s/it]
Epoch 2, training loss 0.166:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 2, training loss 0.166:  62%|██████▏   | 113/182 [02:14<01:21,  1.19s/it]
Epoch 2, training loss 0.167:  62%|██████▏   | 113/182 [02:14<01:22,  1.19s/it]
Epoch 2, training loss 0.167:  63%|██████▎   | 114/182 [02:15<01:20,  1.19s/it]
Epoch 2, training loss 0.167:  63%|██████▎   | 114/182 [02:15<01:21,  1.19s/it]
Epoch 2, training loss 0.167:  63%|██████▎   | 115/182 [02:16<01:19,  1.19s/it]
Epoch 2, training loss 0.166:  63%|██████▎   | 115/182 [02:17<01:19,  1.19s/it]
Epoch 2, training loss 0.166:  64%|██████▎   | 116/182 [02:17<01:18,  1.19s/it]
Epoch 2, training loss 0.166:  64%|██████▎   | 116/182 [02:18<01:18,  1.19s/it]
Epoch 2, training loss 0.166:  64%|██████▍   | 117/182 [02:18<01:17,  1.19s/it]
Epoch 2, training loss 0.165:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 2, training loss 0.165:  65%|██████▍   | 118/182 [02:19<01:15,  1.19s/it]
Epoch 2, training loss 0.167:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 2, training loss 0.167:  65%|██████▌   | 119/182 [02:21<01:14,  1.19s/it]
Epoch 2, training loss 0.175:  65%|██████▌   | 119/182 [02:21<01:15,  1.19s/it]
Epoch 2, training loss 0.175:  66%|██████▌   | 120/182 [02:22<01:13,  1.19s/it]
Epoch 2, training loss 0.174:  66%|██████▌   | 120/182 [02:22<01:13,  1.19s/it]
Epoch 2, training loss 0.174:  66%|██████▋   | 121/182 [02:23<01:12,  1.18s/it]
Epoch 2, training loss 0.176:  66%|██████▋   | 121/182 [02:24<01:12,  1.19s/it]
Epoch 2, training loss 0.176:  67%|██████▋   | 122/182 [02:24<01:11,  1.18s/it]
Epoch 2, training loss 0.176:  67%|██████▋   | 122/182 [02:25<01:11,  1.19s/it]
Epoch 2, training loss 0.176:  68%|██████▊   | 123/182 [02:25<01:09,  1.18s/it]
Epoch 2, training loss 0.176:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 2, training loss 0.176:  68%|██████▊   | 124/182 [02:26<01:08,  1.18s/it]
Epoch 2, training loss 0.176:  68%|██████▊   | 124/182 [02:27<01:08,  1.19s/it]
Epoch 2, training loss 0.176:  69%|██████▊   | 125/182 [02:27<01:07,  1.18s/it]
Epoch 2, training loss 0.176:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 2, training loss 0.176:  69%|██████▉   | 126/182 [02:29<01:06,  1.18s/it]
Epoch 2, training loss 0.175:  69%|██████▉   | 126/182 [02:29<01:06,  1.19s/it]
Epoch 2, training loss 0.175:  70%|██████▉   | 127/182 [02:30<01:05,  1.18s/it]
Epoch 2, training loss 0.175:  70%|██████▉   | 127/182 [02:30<01:05,  1.19s/it]
Epoch 2, training loss 0.175:  70%|███████   | 128/182 [02:31<01:03,  1.18s/it]
Epoch 2, training loss 0.174:  70%|███████   | 128/182 [02:32<01:04,  1.19s/it]
Epoch 2, training loss 0.174:  71%|███████   | 129/182 [02:32<01:02,  1.18s/it]
Epoch 2, training loss 0.174:  71%|███████   | 129/182 [02:33<01:02,  1.19s/it]
Epoch 2, training loss 0.174:  71%|███████▏  | 130/182 [02:33<01:01,  1.18s/it]
Epoch 2, training loss 0.176:  71%|███████▏  | 130/182 [02:34<01:01,  1.19s/it]
Epoch 2, training loss 0.176:  72%|███████▏  | 131/182 [02:34<01:00,  1.18s/it]
Epoch 2, training loss 0.183:  72%|███████▏  | 131/182 [02:35<01:00,  1.19s/it]
Epoch 2, training loss 0.183:  73%|███████▎  | 132/182 [02:36<00:59,  1.18s/it]
Epoch 2, training loss 0.183:  73%|███████▎  | 132/182 [02:36<00:59,  1.19s/it]
Epoch 2, training loss 0.183:  73%|███████▎  | 133/182 [02:37<00:57,  1.18s/it]
Epoch 2, training loss 0.182:  73%|███████▎  | 133/182 [02:38<00:58,  1.19s/it]
Epoch 2, training loss 0.182:  74%|███████▎  | 134/182 [02:38<00:56,  1.18s/it]
Epoch 2, training loss 0.181:  74%|███████▎  | 134/182 [02:39<00:56,  1.19s/it]
Epoch 2, training loss 0.181:  74%|███████▍  | 135/182 [02:39<00:55,  1.18s/it]
Epoch 2, training loss 0.180:  74%|███████▍  | 135/182 [02:40<00:55,  1.19s/it]
Epoch 2, training loss 0.180:  75%|███████▍  | 136/182 [02:40<00:54,  1.18s/it]
Epoch 2, training loss 0.181:  75%|███████▍  | 136/182 [02:41<00:54,  1.19s/it]
Epoch 2, training loss 0.181:  75%|███████▌  | 137/182 [02:41<00:53,  1.18s/it]
Epoch 2, training loss 0.181:  75%|███████▌  | 137/182 [02:42<00:53,  1.19s/it]
Epoch 2, training loss 0.181:  76%|███████▌  | 138/182 [02:42<00:51,  1.18s/it]
Epoch 2, training loss 0.182:  76%|███████▌  | 138/182 [02:43<00:52,  1.18s/it]
Epoch 2, training loss 0.182:  76%|███████▋  | 139/182 [02:44<00:50,  1.18s/it]
Epoch 2, training loss 0.181:  76%|███████▋  | 139/182 [02:44<00:50,  1.18s/it]
Epoch 2, training loss 0.181:  77%|███████▋  | 140/182 [02:45<00:49,  1.18s/it]
Epoch 2, training loss 0.181:  77%|███████▋  | 140/182 [02:45<00:49,  1.18s/it]
Epoch 2, training loss 0.181:  77%|███████▋  | 141/182 [02:46<00:48,  1.18s/it]
Epoch 2, training loss 0.181:  77%|███████▋  | 141/182 [02:46<00:48,  1.18s/it]
Epoch 2, training loss 0.181:  78%|███████▊  | 142/182 [02:47<00:47,  1.18s/it]
Epoch 2, training loss 0.181:  78%|███████▊  | 142/182 [02:47<00:47,  1.18s/it]
Epoch 2, training loss 0.181:  79%|███████▊  | 143/182 [02:48<00:45,  1.18s/it]
Epoch 2, training loss 0.180:  79%|███████▊  | 143/182 [02:49<00:46,  1.18s/it]
Epoch 2, training loss 0.180:  79%|███████▉  | 144/182 [02:49<00:44,  1.18s/it]
Epoch 2, training loss 0.179:  79%|███████▉  | 144/182 [02:50<00:44,  1.18s/it]
Epoch 2, training loss 0.179:  80%|███████▉  | 145/182 [02:50<00:43,  1.18s/it]
Epoch 2, training loss 0.182:  80%|███████▉  | 145/182 [02:51<00:43,  1.18s/it]
Epoch 2, training loss 0.182:  80%|████████  | 146/182 [02:52<00:42,  1.18s/it]
Epoch 2, training loss 0.181:  80%|████████  | 146/182 [02:52<00:42,  1.18s/it]
Epoch 2, training loss 0.181:  81%|████████  | 147/182 [02:53<00:41,  1.18s/it]
Epoch 2, training loss 0.181:  81%|████████  | 147/182 [02:53<00:41,  1.18s/it]
Epoch 2, training loss 0.181:  81%|████████▏ | 148/182 [02:54<00:40,  1.18s/it]
Epoch 2, training loss 0.180:  81%|████████▏ | 148/182 [02:55<00:40,  1.18s/it]
Epoch 2, training loss 0.180:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 2, training loss 0.179:  82%|████████▏ | 149/182 [02:56<00:39,  1.18s/it]
Epoch 2, training loss 0.179:  82%|████████▏ | 150/182 [02:56<00:37,  1.18s/it]
Epoch 2, training loss 0.178:  82%|████████▏ | 150/182 [02:57<00:37,  1.18s/it]
Epoch 2, training loss 0.178:  83%|████████▎ | 151/182 [02:57<00:36,  1.18s/it]
Epoch 2, training loss 0.178:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 2, training loss 0.178:  84%|████████▎ | 152/182 [02:59<00:35,  1.18s/it]
Epoch 2, training loss 0.178:  84%|████████▎ | 152/182 [02:59<00:35,  1.18s/it]
Epoch 2, training loss 0.178:  84%|████████▍ | 153/182 [03:00<00:34,  1.18s/it]
Epoch 2, training loss 0.177:  84%|████████▍ | 153/182 [03:00<00:34,  1.18s/it]
Epoch 2, training loss 0.177:  85%|████████▍ | 154/182 [03:01<00:32,  1.18s/it]
Epoch 2, training loss 0.176:  85%|████████▍ | 154/182 [03:02<00:33,  1.18s/it]
Epoch 2, training loss 0.176:  85%|████████▌ | 155/182 [03:02<00:31,  1.18s/it]
Epoch 2, training loss 0.176:  85%|████████▌ | 155/182 [03:03<00:31,  1.18s/it]
Epoch 2, training loss 0.176:  86%|████████▌ | 156/182 [03:03<00:30,  1.18s/it]
Epoch 2, training loss 0.176:  86%|████████▌ | 156/182 [03:04<00:30,  1.18s/it]
Epoch 2, training loss 0.176:  86%|████████▋ | 157/182 [03:04<00:29,  1.18s/it]
Epoch 2, training loss 0.175:  86%|████████▋ | 157/182 [03:05<00:29,  1.18s/it]
Epoch 2, training loss 0.175:  87%|████████▋ | 158/182 [03:05<00:28,  1.18s/it]
Epoch 2, training loss 0.175:  87%|████████▋ | 158/182 [03:06<00:28,  1.18s/it]
Epoch 2, training loss 0.175:  87%|████████▋ | 159/182 [03:07<00:27,  1.18s/it]
Epoch 2, training loss 0.177:  87%|████████▋ | 159/182 [03:07<00:27,  1.18s/it]
Epoch 2, training loss 0.177:  88%|████████▊ | 160/182 [03:08<00:25,  1.18s/it]
Epoch 2, training loss 0.177:  88%|████████▊ | 160/182 [03:09<00:25,  1.18s/it]
Epoch 2, training loss 0.177:  88%|████████▊ | 161/182 [03:09<00:24,  1.18s/it]
Epoch 2, training loss 0.176:  88%|████████▊ | 161/182 [03:10<00:24,  1.18s/it]
Epoch 2, training loss 0.176:  89%|████████▉ | 162/182 [03:10<00:23,  1.18s/it]
Epoch 2, training loss 0.176:  89%|████████▉ | 162/182 [03:11<00:23,  1.18s/it]
Epoch 2, training loss 0.176:  90%|████████▉ | 163/182 [03:11<00:22,  1.18s/it]
Epoch 2, training loss 0.178:  90%|████████▉ | 163/182 [03:12<00:22,  1.18s/it]
Epoch 2, training loss 0.178:  90%|█████████ | 164/182 [03:12<00:21,  1.18s/it]
Epoch 2, training loss 0.177:  90%|█████████ | 164/182 [03:13<00:21,  1.18s/it]
Epoch 2, training loss 0.177:  91%|█████████ | 165/182 [03:14<00:19,  1.18s/it]
Epoch 2, training loss 0.177:  91%|█████████ | 165/182 [03:14<00:20,  1.18s/it]
Epoch 2, training loss 0.177:  91%|█████████ | 166/182 [03:15<00:18,  1.18s/it]
Epoch 2, training loss 0.176:  91%|█████████ | 166/182 [03:15<00:18,  1.18s/it]
Epoch 2, training loss 0.176:  92%|█████████▏| 167/182 [03:16<00:17,  1.18s/it]
Epoch 2, training loss 0.177:  92%|█████████▏| 167/182 [03:17<00:17,  1.18s/it]
Epoch 2, training loss 0.177:  92%|█████████▏| 168/182 [03:17<00:16,  1.18s/it]
Epoch 2, training loss 0.176:  92%|█████████▏| 168/182 [03:18<00:16,  1.18s/it]
Epoch 2, training loss 0.176:  93%|█████████▎| 169/182 [03:18<00:15,  1.18s/it]
Epoch 2, training loss 0.176:  93%|█████████▎| 169/182 [03:19<00:15,  1.18s/it]
Epoch 2, training loss 0.176:  93%|█████████▎| 170/182 [03:19<00:14,  1.18s/it]
Epoch 2, training loss 0.175:  93%|█████████▎| 170/182 [03:20<00:14,  1.18s/it]
Epoch 2, training loss 0.175:  94%|█████████▍| 171/182 [03:21<00:12,  1.18s/it]
Epoch 2, training loss 0.175:  94%|█████████▍| 171/182 [03:21<00:12,  1.18s/it]
Epoch 2, training loss 0.175:  95%|█████████▍| 172/182 [03:22<00:11,  1.18s/it]
Epoch 2, training loss 0.175:  95%|█████████▍| 172/182 [03:22<00:11,  1.18s/it]
Epoch 2, training loss 0.175:  95%|█████████▌| 173/182 [03:23<00:10,  1.17s/it]
Epoch 2, training loss 0.175:  95%|█████████▌| 173/182 [03:23<00:10,  1.18s/it]
Epoch 2, training loss 0.175:  96%|█████████▌| 174/182 [03:24<00:09,  1.17s/it]
Epoch 2, training loss 0.174:  96%|█████████▌| 174/182 [03:25<00:09,  1.18s/it]
Epoch 2, training loss 0.174:  96%|█████████▌| 175/182 [03:25<00:08,  1.17s/it]
Epoch 2, training loss 0.174:  96%|█████████▌| 175/182 [03:26<00:08,  1.18s/it]
Epoch 2, training loss 0.174:  97%|█████████▋| 176/182 [03:26<00:07,  1.17s/it]
Epoch 2, training loss 0.173:  97%|█████████▋| 176/182 [03:27<00:07,  1.18s/it]
Epoch 2, training loss 0.173:  97%|█████████▋| 177/182 [03:27<00:05,  1.17s/it]
Epoch 2, training loss 0.173:  97%|█████████▋| 177/182 [03:28<00:05,  1.18s/it]
Epoch 2, training loss 0.173:  98%|█████████▊| 178/182 [03:28<00:04,  1.17s/it]
Epoch 2, training loss 0.174:  98%|█████████▊| 178/182 [03:29<00:04,  1.18s/it]
Epoch 2, training loss 0.174:  98%|█████████▊| 179/182 [03:30<00:03,  1.17s/it]
Epoch 2, training loss 0.174:  98%|█████████▊| 179/182 [03:30<00:03,  1.18s/it]
Epoch 2, training loss 0.174:  99%|█████████▉| 180/182 [03:31<00:02,  1.17s/it]
Epoch 2, training loss 0.174:  99%|█████████▉| 180/182 [03:31<00:02,  1.18s/it]
Epoch 2, training loss 0.174:  99%|█████████▉| 181/182 [03:32<00:01,  1.17s/it]
Epoch 2, training loss 0.173:  99%|█████████▉| 181/182 [03:32<00:01,  1.18s/it]
Epoch 2, training loss 0.173: 100%|██████████| 182/182 [03:33<00:00,  1.17s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.540:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.540:   1%|          | 1/90 [00:04<06:24,  4.32s/it]
Epoch 2, validation pixAcc: 0.965, mIoU: 0.681:   1%|          | 1/90 [00:04<07:01,  4.74s/it]
Epoch 2, validation pixAcc: 0.965, mIoU: 0.681:   2%|▏         | 2/90 [00:04<03:28,  2.37s/it]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.755:   2%|▏         | 2/90 [00:05<03:45,  2.56s/it]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.755:   3%|▎         | 3/90 [00:05<02:28,  1.71s/it]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.803:   3%|▎         | 3/90 [00:05<02:41,  1.86s/it]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.803:   4%|▍         | 4/90 [00:05<01:59,  1.39s/it]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.859:   4%|▍         | 4/90 [00:05<02:08,  1.49s/it]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.859:   6%|▌         | 5/90 [00:05<01:41,  1.20s/it]
Epoch 2, validation pixAcc: 0.966, mIoU: 0.858:   6%|▌         | 5/90 [00:06<01:48,  1.28s/it]
Epoch 2, validation pixAcc: 0.966, mIoU: 0.858:   7%|▋         | 6/90 [00:06<01:29,  1.07s/it]
Epoch 2, validation pixAcc: 0.965, mIoU: 0.853:   7%|▋         | 6/90 [00:06<01:35,  1.14s/it]
Epoch 2, validation pixAcc: 0.965, mIoU: 0.853:   8%|▊         | 7/90 [00:06<01:21,  1.02it/s]
Epoch 2, validation pixAcc: 0.966, mIoU: 0.843:   8%|▊         | 7/90 [00:07<01:26,  1.04s/it]
Epoch 2, validation pixAcc: 0.966, mIoU: 0.843:   9%|▉         | 8/90 [00:07<01:14,  1.10it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.847:   9%|▉         | 8/90 [00:07<01:18,  1.04it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.847:  10%|█         | 9/90 [00:07<01:09,  1.17it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.855:  10%|█         | 9/90 [00:08<01:13,  1.10it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.855:  11%|█         | 10/90 [00:08<01:05,  1.23it/s]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.855:  11%|█         | 10/90 [00:08<01:08,  1.16it/s]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.855:  12%|█▏        | 11/90 [00:08<01:01,  1.28it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.850:  12%|█▏        | 11/90 [00:09<01:04,  1.22it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.850:  13%|█▎        | 12/90 [00:09<00:58,  1.33it/s]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.858:  13%|█▎        | 12/90 [00:09<01:01,  1.27it/s]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.858:  14%|█▍        | 13/90 [00:09<00:56,  1.37it/s]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.862:  14%|█▍        | 13/90 [00:09<00:58,  1.31it/s]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.862:  16%|█▌        | 14/90 [00:09<00:53,  1.41it/s]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.864:  16%|█▌        | 14/90 [00:10<00:56,  1.35it/s]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.864:  17%|█▋        | 15/90 [00:10<00:51,  1.45it/s]
Epoch 2, validation pixAcc: 0.970, mIoU: 0.871:  17%|█▋        | 15/90 [00:10<00:53,  1.39it/s]
Epoch 2, validation pixAcc: 0.970, mIoU: 0.871:  18%|█▊        | 16/90 [00:10<00:49,  1.48it/s]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.869:  18%|█▊        | 16/90 [00:11<00:51,  1.42it/s]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.869:  19%|█▉        | 17/90 [00:11<00:48,  1.51it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.863:  19%|█▉        | 17/90 [00:11<00:50,  1.45it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.863:  20%|██        | 18/90 [00:11<00:46,  1.54it/s]
Epoch 2, validation pixAcc: 0.967, mIoU: 0.857:  20%|██        | 18/90 [00:12<00:48,  1.49it/s]
Epoch 2, validation pixAcc: 0.967, mIoU: 0.857:  21%|██        | 19/90 [00:12<00:45,  1.57it/s]
Epoch 2, validation pixAcc: 0.966, mIoU: 0.857:  21%|██        | 19/90 [00:12<00:46,  1.51it/s]
Epoch 2, validation pixAcc: 0.966, mIoU: 0.857:  22%|██▏       | 20/90 [00:12<00:43,  1.59it/s]
Epoch 2, validation pixAcc: 0.967, mIoU: 0.859:  22%|██▏       | 20/90 [00:12<00:45,  1.54it/s]
Epoch 2, validation pixAcc: 0.967, mIoU: 0.859:  23%|██▎       | 21/90 [00:12<00:42,  1.62it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.860:  23%|██▎       | 21/90 [00:13<00:43,  1.57it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.860:  24%|██▍       | 22/90 [00:13<00:41,  1.64it/s]
Epoch 2, validation pixAcc: 0.966, mIoU: 0.859:  24%|██▍       | 22/90 [00:13<00:42,  1.59it/s]
Epoch 2, validation pixAcc: 0.966, mIoU: 0.859:  26%|██▌       | 23/90 [00:13<00:40,  1.66it/s]
Epoch 2, validation pixAcc: 0.967, mIoU: 0.858:  26%|██▌       | 23/90 [00:14<00:41,  1.61it/s]
Epoch 2, validation pixAcc: 0.967, mIoU: 0.858:  27%|██▋       | 24/90 [00:14<00:39,  1.68it/s]
Epoch 2, validation pixAcc: 0.967, mIoU: 0.860:  27%|██▋       | 24/90 [00:14<00:40,  1.63it/s]
Epoch 2, validation pixAcc: 0.967, mIoU: 0.860:  28%|██▊       | 25/90 [00:14<00:38,  1.70it/s]
Epoch 2, validation pixAcc: 0.967, mIoU: 0.861:  28%|██▊       | 25/90 [00:15<00:39,  1.65it/s]
Epoch 2, validation pixAcc: 0.967, mIoU: 0.861:  29%|██▉       | 26/90 [00:15<00:37,  1.72it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.865:  29%|██▉       | 26/90 [00:15<00:38,  1.67it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.865:  30%|███       | 27/90 [00:15<00:36,  1.73it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.866:  30%|███       | 27/90 [00:16<00:37,  1.68it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.866:  31%|███       | 28/90 [00:16<00:35,  1.74it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.866:  31%|███       | 28/90 [00:16<00:36,  1.70it/s]
Epoch 2, validation pixAcc: 0.968, mIoU: 0.866:  32%|███▏      | 29/90 [00:16<00:34,  1.76it/s]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.869:  32%|███▏      | 29/90 [00:16<00:35,  1.72it/s]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.869:  33%|███▎      | 30/90 [00:16<00:33,  1.78it/s]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.871:  33%|███▎      | 30/90 [00:17<00:34,  1.73it/s]
Epoch 2, validation pixAcc: 0.969, mIoU: 0.871:  34%|███▍      | 31/90 [00:17<00:32,  1.79it/s]
Epoch 2, validation pixAcc: 0.970, mIoU: 0.872:  34%|███▍      | 31/90 [00:17<00:33,  1.75it/s]
Epoch 2, validation pixAcc: 0.970, mIoU: 0.872:  36%|███▌      | 32/90 [00:17<00:32,  1.80it/s]
Epoch 2, validation pixAcc: 0.970, mIoU: 0.873:  36%|███▌      | 32/90 [00:18<00:32,  1.76it/s]
Epoch 2, validation pixAcc: 0.970, mIoU: 0.873:  37%|███▋      | 33/90 [00:18<00:31,  1.81it/s]
Epoch 2, validation pixAcc: 0.970, mIoU: 0.876:  37%|███▋      | 33/90 [00:18<00:32,  1.77it/s]
Epoch 2, validation pixAcc: 0.970, mIoU: 0.876:  38%|███▊      | 34/90 [00:18<00:30,  1.83it/s]
Epoch 2, validation pixAcc: 0.970, mIoU: 0.876:  38%|███▊      | 34/90 [00:19<00:31,  1.79it/s]
Epoch 2, validation pixAcc: 0.970, mIoU: 0.876:  39%|███▉      | 35/90 [00:19<00:29,  1.84it/s]
Epoch 2, validation pixAcc: 0.970, mIoU: 0.875:  39%|███▉      | 35/90 [00:19<00:30,  1.80it/s]
Epoch 2, validation pixAcc: 0.970, mIoU: 0.875:  40%|████      | 36/90 [00:19<00:29,  1.85it/s]
Epoch 2, validation pixAcc: 0.971, mIoU: 0.876:  40%|████      | 36/90 [00:19<00:29,  1.80it/s]
Epoch 2, validation pixAcc: 0.971, mIoU: 0.876:  41%|████      | 37/90 [00:19<00:28,  1.86it/s]
Epoch 2, validation pixAcc: 0.971, mIoU: 0.876:  41%|████      | 37/90 [00:20<00:29,  1.81it/s]
Epoch 2, validation pixAcc: 0.971, mIoU: 0.876:  42%|████▏     | 38/90 [00:20<00:27,  1.86it/s]
Epoch 2, validation pixAcc: 0.971, mIoU: 0.877:  42%|████▏     | 38/90 [00:20<00:28,  1.82it/s]
Epoch 2, validation pixAcc: 0.971, mIoU: 0.877:  43%|████▎     | 39/90 [00:20<00:27,  1.87it/s]
Epoch 2, validation pixAcc: 0.971, mIoU: 0.878:  43%|████▎     | 39/90 [00:21<00:27,  1.83it/s]
Epoch 2, validation pixAcc: 0.971, mIoU: 0.878:  44%|████▍     | 40/90 [00:21<00:26,  1.88it/s]
Epoch 2, validation pixAcc: 0.972, mIoU: 0.878:  44%|████▍     | 40/90 [00:21<00:27,  1.84it/s]
Epoch 2, validation pixAcc: 0.972, mIoU: 0.878:  46%|████▌     | 41/90 [00:21<00:25,  1.89it/s]
Epoch 2, validation pixAcc: 0.972, mIoU: 0.880:  46%|████▌     | 41/90 [00:22<00:26,  1.85it/s]
Epoch 2, validation pixAcc: 0.972, mIoU: 0.880:  47%|████▋     | 42/90 [00:22<00:25,  1.89it/s]
Epoch 2, validation pixAcc: 0.972, mIoU: 0.882:  47%|████▋     | 42/90 [00:22<00:25,  1.86it/s]
Epoch 2, validation pixAcc: 0.972, mIoU: 0.882:  48%|████▊     | 43/90 [00:22<00:24,  1.90it/s]
Epoch 2, validation pixAcc: 0.973, mIoU: 0.882:  48%|████▊     | 43/90 [00:23<00:25,  1.86it/s]
Epoch 2, validation pixAcc: 0.973, mIoU: 0.882:  49%|████▉     | 44/90 [00:23<00:24,  1.91it/s]
Epoch 2, validation pixAcc: 0.973, mIoU: 0.883:  49%|████▉     | 44/90 [00:23<00:24,  1.87it/s]
Epoch 2, validation pixAcc: 0.973, mIoU: 0.883:  50%|█████     | 45/90 [00:23<00:23,  1.91it/s]
Epoch 2, validation pixAcc: 0.973, mIoU: 0.884:  50%|█████     | 45/90 [00:23<00:23,  1.88it/s]
Epoch 2, validation pixAcc: 0.973, mIoU: 0.884:  51%|█████     | 46/90 [00:23<00:22,  1.92it/s]
Epoch 2, validation pixAcc: 0.973, mIoU: 0.885:  51%|█████     | 46/90 [00:24<00:23,  1.89it/s]
Epoch 2, validation pixAcc: 0.973, mIoU: 0.885:  52%|█████▏    | 47/90 [00:24<00:22,  1.93it/s]
Epoch 2, validation pixAcc: 0.973, mIoU: 0.884:  52%|█████▏    | 47/90 [00:24<00:22,  1.90it/s]
Epoch 2, validation pixAcc: 0.973, mIoU: 0.884:  53%|█████▎    | 48/90 [00:24<00:21,  1.94it/s]
Epoch 2, validation pixAcc: 0.973, mIoU: 0.884:  53%|█████▎    | 48/90 [00:25<00:22,  1.90it/s]
Epoch 2, validation pixAcc: 0.973, mIoU: 0.884:  54%|█████▍    | 49/90 [00:25<00:21,  1.94it/s]
Epoch 2, validation pixAcc: 0.974, mIoU: 0.885:  54%|█████▍    | 49/90 [00:25<00:21,  1.91it/s]
Epoch 2, validation pixAcc: 0.974, mIoU: 0.885:  56%|█████▌    | 50/90 [00:25<00:20,  1.95it/s]
Epoch 2, validation pixAcc: 0.974, mIoU: 0.886:  56%|█████▌    | 50/90 [00:26<00:20,  1.92it/s]
Epoch 2, validation pixAcc: 0.974, mIoU: 0.886:  57%|█████▋    | 51/90 [00:26<00:19,  1.95it/s]
Epoch 2, validation pixAcc: 0.974, mIoU: 0.887:  57%|█████▋    | 51/90 [00:26<00:20,  1.92it/s]
Epoch 2, validation pixAcc: 0.974, mIoU: 0.887:  58%|█████▊    | 52/90 [00:26<00:19,  1.96it/s]
Epoch 2, validation pixAcc: 0.974, mIoU: 0.886:  58%|█████▊    | 52/90 [00:26<00:19,  1.93it/s]
Epoch 2, validation pixAcc: 0.974, mIoU: 0.886:  59%|█████▉    | 53/90 [00:26<00:18,  1.97it/s]
Epoch 2, validation pixAcc: 0.974, mIoU: 0.887:  59%|█████▉    | 53/90 [00:27<00:19,  1.94it/s]
Epoch 2, validation pixAcc: 0.974, mIoU: 0.887:  60%|██████    | 54/90 [00:27<00:18,  1.97it/s]
Epoch 2, validation pixAcc: 0.974, mIoU: 0.887:  60%|██████    | 54/90 [00:27<00:18,  1.94it/s]
Epoch 2, validation pixAcc: 0.974, mIoU: 0.887:  61%|██████    | 55/90 [00:27<00:17,  1.98it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.888:  61%|██████    | 55/90 [00:28<00:17,  1.95it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.888:  62%|██████▏   | 56/90 [00:28<00:17,  1.98it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.887:  62%|██████▏   | 56/90 [00:28<00:17,  1.95it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.887:  63%|██████▎   | 57/90 [00:28<00:16,  1.99it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.888:  63%|██████▎   | 57/90 [00:29<00:16,  1.96it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.888:  64%|██████▍   | 58/90 [00:29<00:16,  1.99it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.887:  64%|██████▍   | 58/90 [00:29<00:16,  1.96it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.887:  66%|██████▌   | 59/90 [00:29<00:15,  2.00it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.888:  66%|██████▌   | 59/90 [00:29<00:15,  1.97it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.888:  67%|██████▋   | 60/90 [00:29<00:14,  2.00it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.889:  67%|██████▋   | 60/90 [00:30<00:15,  1.97it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.889:  68%|██████▊   | 61/90 [00:30<00:14,  2.00it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.889:  68%|██████▊   | 61/90 [00:30<00:14,  1.98it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.889:  69%|██████▉   | 62/90 [00:30<00:13,  2.01it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.889:  69%|██████▉   | 62/90 [00:31<00:14,  1.98it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.889:  70%|███████   | 63/90 [00:31<00:13,  2.01it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.890:  70%|███████   | 63/90 [00:31<00:13,  1.99it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.890:  71%|███████   | 64/90 [00:31<00:12,  2.02it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.891:  71%|███████   | 64/90 [00:32<00:13,  1.99it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.891:  72%|███████▏  | 65/90 [00:32<00:12,  2.02it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.891:  72%|███████▏  | 65/90 [00:32<00:12,  2.00it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.891:  73%|███████▎  | 66/90 [00:32<00:11,  2.03it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.891:  73%|███████▎  | 66/90 [00:32<00:11,  2.00it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.891:  74%|███████▍  | 67/90 [00:32<00:11,  2.03it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.891:  74%|███████▍  | 67/90 [00:33<00:11,  2.01it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.891:  76%|███████▌  | 68/90 [00:33<00:10,  2.04it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.891:  76%|███████▌  | 68/90 [00:33<00:10,  2.01it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.891:  77%|███████▋  | 69/90 [00:33<00:10,  2.04it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.892:  77%|███████▋  | 69/90 [00:34<00:10,  2.01it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.892:  78%|███████▊  | 70/90 [00:34<00:09,  2.04it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.892:  78%|███████▊  | 70/90 [00:34<00:09,  2.02it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.892:  79%|███████▉  | 71/90 [00:34<00:09,  2.05it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.893:  79%|███████▉  | 71/90 [00:35<00:09,  2.02it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.893:  80%|████████  | 72/90 [00:35<00:08,  2.05it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.892:  80%|████████  | 72/90 [00:35<00:08,  2.02it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.892:  81%|████████  | 73/90 [00:35<00:08,  2.05it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.892:  81%|████████  | 73/90 [00:36<00:08,  2.03it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.892:  82%|████████▏ | 74/90 [00:36<00:07,  2.05it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.891:  82%|████████▏ | 74/90 [00:36<00:07,  2.03it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.891:  83%|████████▎ | 75/90 [00:36<00:07,  2.06it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.891:  83%|████████▎ | 75/90 [00:36<00:07,  2.03it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.891:  84%|████████▍ | 76/90 [00:36<00:06,  2.06it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.891:  84%|████████▍ | 76/90 [00:37<00:06,  2.03it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.891:  86%|████████▌ | 77/90 [00:37<00:06,  2.06it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.891:  86%|████████▌ | 77/90 [00:37<00:06,  2.04it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.891:  87%|████████▋ | 78/90 [00:37<00:05,  2.07it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.892:  87%|████████▋ | 78/90 [00:38<00:05,  2.04it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.892:  88%|████████▊ | 79/90 [00:38<00:05,  2.07it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.892:  88%|████████▊ | 79/90 [00:38<00:05,  2.05it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.892:  89%|████████▉ | 80/90 [00:38<00:04,  2.07it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.892:  89%|████████▉ | 80/90 [00:39<00:04,  2.05it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.892:  90%|█████████ | 81/90 [00:39<00:04,  2.08it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.893:  90%|█████████ | 81/90 [00:39<00:04,  2.05it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.893:  91%|█████████ | 82/90 [00:39<00:03,  2.08it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.894:  91%|█████████ | 82/90 [00:39<00:03,  2.05it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.894:  92%|█████████▏| 83/90 [00:39<00:03,  2.08it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.894:  92%|█████████▏| 83/90 [00:40<00:03,  2.06it/s]
Epoch 2, validation pixAcc: 0.976, mIoU: 0.894:  93%|█████████▎| 84/90 [00:40<00:02,  2.08it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.892:  93%|█████████▎| 84/90 [00:40<00:02,  2.06it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.892:  94%|█████████▍| 85/90 [00:40<00:02,  2.08it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.892:  94%|█████████▍| 85/90 [00:41<00:02,  2.06it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.892:  96%|█████████▌| 86/90 [00:41<00:01,  2.09it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.893:  96%|█████████▌| 86/90 [00:41<00:01,  2.07it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.893:  97%|█████████▋| 87/90 [00:41<00:01,  2.09it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.891:  97%|█████████▋| 87/90 [00:42<00:01,  2.07it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.891:  98%|█████████▊| 88/90 [00:42<00:00,  2.09it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.891:  98%|█████████▊| 88/90 [00:42<00:00,  2.07it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.891:  99%|█████████▉| 89/90 [00:42<00:00,  2.10it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.890:  99%|█████████▉| 89/90 [00:42<00:00,  2.08it/s]
Epoch 2, validation pixAcc: 0.975, mIoU: 0.890: 100%|██████████| 90/90 [00:42<00:00,  2.10it/s]

  0%|          | 0/182 [00:00<?, ?it/s]
Epoch 3, training loss 0.181:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 3, training loss 0.181:   1%|          | 1/182 [00:05<16:12,  5.38s/it]
Epoch 3, training loss 0.108:   1%|          | 1/182 [00:06<18:14,  6.04s/it]
Epoch 3, training loss 0.108:   1%|          | 2/182 [00:06<09:49,  3.27s/it]
Epoch 3, training loss 0.108:   1%|          | 2/182 [00:07<10:49,  3.61s/it]
Epoch 3, training loss 0.108:   2%|▏         | 3/182 [00:07<07:41,  2.58s/it]
Epoch 3, training loss 0.109:   2%|▏         | 3/182 [00:08<08:19,  2.79s/it]
Epoch 3, training loss 0.109:   2%|▏         | 4/182 [00:08<06:35,  2.22s/it]
Epoch 3, training loss 0.127:   2%|▏         | 4/182 [00:09<07:06,  2.40s/it]
Epoch 3, training loss 0.127:   3%|▎         | 5/182 [00:10<05:57,  2.02s/it]
Epoch 3, training loss 0.129:   3%|▎         | 5/182 [00:10<06:21,  2.16s/it]
Epoch 3, training loss 0.129:   3%|▎         | 6/182 [00:11<05:29,  1.87s/it]
Epoch 3, training loss 0.123:   3%|▎         | 6/182 [00:11<05:49,  1.98s/it]
Epoch 3, training loss 0.123:   4%|▍         | 7/182 [00:12<05:10,  1.77s/it]
Epoch 3, training loss 0.114:   4%|▍         | 7/182 [00:13<05:25,  1.86s/it]
Epoch 3, training loss 0.114:   4%|▍         | 8/182 [00:13<04:54,  1.69s/it]
Epoch 3, training loss 0.105:   4%|▍         | 8/182 [00:14<05:10,  1.78s/it]
Epoch 3, training loss 0.105:   5%|▍         | 9/182 [00:14<04:44,  1.64s/it]
Epoch 3, training loss 0.122:   5%|▍         | 9/182 [00:15<04:56,  1.71s/it]
Epoch 3, training loss 0.122:   5%|▌         | 10/182 [00:15<04:33,  1.59s/it]
Epoch 3, training loss 0.115:   5%|▌         | 10/182 [00:16<04:45,  1.66s/it]
Epoch 3, training loss 0.115:   6%|▌         | 11/182 [00:17<04:26,  1.56s/it]
Epoch 3, training loss 0.112:   6%|▌         | 11/182 [00:17<04:38,  1.63s/it]
Epoch 3, training loss 0.112:   7%|▋         | 12/182 [00:18<04:20,  1.53s/it]
Epoch 3, training loss 0.113:   7%|▋         | 12/182 [00:19<04:29,  1.58s/it]
Epoch 3, training loss 0.113:   7%|▋         | 13/182 [00:19<04:14,  1.50s/it]
Epoch 3, training loss 0.119:   7%|▋         | 13/182 [00:20<04:23,  1.56s/it]
Epoch 3, training loss 0.119:   8%|▊         | 14/182 [00:20<04:10,  1.49s/it]
Epoch 3, training loss 0.125:   8%|▊         | 14/182 [00:21<04:17,  1.53s/it]
Epoch 3, training loss 0.125:   8%|▊         | 15/182 [00:21<04:04,  1.46s/it]
Epoch 3, training loss 0.120:   8%|▊         | 15/182 [00:22<04:11,  1.51s/it]
Epoch 3, training loss 0.120:   9%|▉         | 16/182 [00:23<03:59,  1.45s/it]
Epoch 3, training loss 0.120:   9%|▉         | 16/182 [00:23<04:07,  1.49s/it]
Epoch 3, training loss 0.120:   9%|▉         | 17/182 [00:24<03:56,  1.43s/it]
Epoch 3, training loss 0.120:   9%|▉         | 17/182 [00:25<04:04,  1.48s/it]
Epoch 3, training loss 0.120:  10%|▉         | 18/182 [00:25<03:54,  1.43s/it]
Epoch 3, training loss 0.120:  10%|▉         | 18/182 [00:26<04:01,  1.47s/it]
Epoch 3, training loss 0.120:  10%|█         | 19/182 [00:26<03:51,  1.42s/it]
Epoch 3, training loss 0.119:  10%|█         | 19/182 [00:27<03:57,  1.45s/it]
Epoch 3, training loss 0.119:  11%|█         | 20/182 [00:28<03:47,  1.41s/it]
Epoch 3, training loss 0.114:  11%|█         | 20/182 [00:28<03:52,  1.44s/it]
Epoch 3, training loss 0.114:  12%|█▏        | 21/182 [00:29<03:44,  1.39s/it]
Epoch 3, training loss 0.114:  12%|█▏        | 21/182 [00:29<03:48,  1.42s/it]
Epoch 3, training loss 0.114:  12%|█▏        | 22/182 [00:30<03:40,  1.38s/it]
Epoch 3, training loss 0.116:  12%|█▏        | 22/182 [00:31<03:45,  1.41s/it]
Epoch 3, training loss 0.116:  13%|█▎        | 23/182 [00:31<03:37,  1.37s/it]
Epoch 3, training loss 0.115:  13%|█▎        | 23/182 [00:32<03:42,  1.40s/it]
Epoch 3, training loss 0.115:  13%|█▎        | 24/182 [00:32<03:35,  1.37s/it]
Epoch 3, training loss 0.111:  13%|█▎        | 24/182 [00:33<03:40,  1.39s/it]
Epoch 3, training loss 0.111:  14%|█▎        | 25/182 [00:33<03:33,  1.36s/it]
Epoch 3, training loss 0.109:  14%|█▎        | 25/182 [00:34<03:37,  1.39s/it]
Epoch 3, training loss 0.109:  14%|█▍        | 26/182 [00:35<03:30,  1.35s/it]
Epoch 3, training loss 0.107:  14%|█▍        | 26/182 [00:35<03:34,  1.38s/it]
Epoch 3, training loss 0.107:  15%|█▍        | 27/182 [00:36<03:28,  1.34s/it]
Epoch 3, training loss 0.106:  15%|█▍        | 27/182 [00:36<03:31,  1.37s/it]
Epoch 3, training loss 0.106:  15%|█▌        | 28/182 [00:37<03:25,  1.34s/it]
Epoch 3, training loss 0.106:  15%|█▌        | 28/182 [00:38<03:29,  1.36s/it]
Epoch 3, training loss 0.106:  16%|█▌        | 29/182 [00:38<03:23,  1.33s/it]
Epoch 3, training loss 0.108:  16%|█▌        | 29/182 [00:39<03:27,  1.35s/it]
Epoch 3, training loss 0.108:  16%|█▋        | 30/182 [00:39<03:21,  1.32s/it]
Epoch 3, training loss 0.111:  16%|█▋        | 30/182 [00:40<03:24,  1.35s/it]
Epoch 3, training loss 0.111:  17%|█▋        | 31/182 [00:40<03:19,  1.32s/it]
Epoch 3, training loss 0.111:  17%|█▋        | 31/182 [00:41<03:22,  1.34s/it]
Epoch 3, training loss 0.111:  18%|█▊        | 32/182 [00:42<03:17,  1.32s/it]
Epoch 3, training loss 0.109:  18%|█▊        | 32/182 [00:42<03:20,  1.34s/it]
Epoch 3, training loss 0.109:  18%|█▊        | 33/182 [00:43<03:15,  1.31s/it]
Epoch 3, training loss 0.127:  18%|█▊        | 33/182 [00:43<03:18,  1.33s/it]
Epoch 3, training loss 0.127:  19%|█▊        | 34/182 [00:44<03:13,  1.31s/it]
Epoch 3, training loss 0.128:  19%|█▊        | 34/182 [00:45<03:16,  1.33s/it]
Epoch 3, training loss 0.128:  19%|█▉        | 35/182 [00:45<03:11,  1.30s/it]
Epoch 3, training loss 0.125:  19%|█▉        | 35/182 [00:46<03:14,  1.32s/it]
Epoch 3, training loss 0.125:  20%|█▉        | 36/182 [00:46<03:09,  1.30s/it]
Epoch 3, training loss 0.126:  20%|█▉        | 36/182 [00:47<03:12,  1.32s/it]
Epoch 3, training loss 0.126:  20%|██        | 37/182 [00:47<03:07,  1.29s/it]
Epoch 3, training loss 0.125:  20%|██        | 37/182 [00:48<03:10,  1.31s/it]
Epoch 3, training loss 0.125:  21%|██        | 38/182 [00:48<03:05,  1.29s/it]
Epoch 3, training loss 0.132:  21%|██        | 38/182 [00:49<03:07,  1.30s/it]
Epoch 3, training loss 0.132:  21%|██▏       | 39/182 [00:50<03:03,  1.28s/it]
Epoch 3, training loss 0.138:  21%|██▏       | 39/182 [00:50<03:06,  1.30s/it]
Epoch 3, training loss 0.138:  22%|██▏       | 40/182 [00:51<03:02,  1.28s/it]
Epoch 3, training loss 0.137:  22%|██▏       | 40/182 [00:51<03:04,  1.30s/it]
Epoch 3, training loss 0.137:  23%|██▎       | 41/182 [00:52<03:00,  1.28s/it]
Epoch 3, training loss 0.136:  23%|██▎       | 41/182 [00:53<03:02,  1.30s/it]
Epoch 3, training loss 0.136:  23%|██▎       | 42/182 [00:53<02:58,  1.28s/it]
Epoch 3, training loss 0.135:  23%|██▎       | 42/182 [00:54<03:01,  1.29s/it]
Epoch 3, training loss 0.135:  24%|██▎       | 43/182 [00:54<02:57,  1.28s/it]
Epoch 3, training loss 0.135:  24%|██▎       | 43/182 [00:55<02:59,  1.29s/it]
Epoch 3, training loss 0.135:  24%|██▍       | 44/182 [00:56<02:55,  1.27s/it]
Epoch 3, training loss 0.134:  24%|██▍       | 44/182 [00:56<02:57,  1.29s/it]
Epoch 3, training loss 0.134:  25%|██▍       | 45/182 [00:57<02:54,  1.27s/it]
Epoch 3, training loss 0.150:  25%|██▍       | 45/182 [00:57<02:55,  1.28s/it]
Epoch 3, training loss 0.150:  25%|██▌       | 46/182 [00:58<02:52,  1.27s/it]
Epoch 3, training loss 0.149:  25%|██▌       | 46/182 [00:58<02:54,  1.28s/it]
Epoch 3, training loss 0.149:  26%|██▌       | 47/182 [00:59<02:50,  1.26s/it]
Epoch 3, training loss 0.154:  26%|██▌       | 47/182 [01:00<02:52,  1.28s/it]
Epoch 3, training loss 0.154:  26%|██▋       | 48/182 [01:00<02:48,  1.26s/it]
Epoch 3, training loss 0.151:  26%|██▋       | 48/182 [01:01<02:50,  1.27s/it]
Epoch 3, training loss 0.151:  27%|██▋       | 49/182 [01:01<02:47,  1.26s/it]
Epoch 3, training loss 0.162:  27%|██▋       | 49/182 [01:02<02:49,  1.27s/it]
Epoch 3, training loss 0.162:  27%|██▋       | 50/182 [01:02<02:45,  1.26s/it]
Epoch 3, training loss 0.162:  27%|██▋       | 50/182 [01:03<02:47,  1.27s/it]
Epoch 3, training loss 0.162:  28%|██▊       | 51/182 [01:04<02:44,  1.26s/it]
Epoch 3, training loss 0.160:  28%|██▊       | 51/182 [01:04<02:46,  1.27s/it]
Epoch 3, training loss 0.160:  29%|██▊       | 52/182 [01:05<02:43,  1.26s/it]
Epoch 3, training loss 0.161:  29%|██▊       | 52/182 [01:05<02:44,  1.27s/it]
Epoch 3, training loss 0.161:  29%|██▉       | 53/182 [01:06<02:41,  1.25s/it]
Epoch 3, training loss 0.158:  29%|██▉       | 53/182 [01:07<02:43,  1.27s/it]
Epoch 3, training loss 0.158:  30%|██▉       | 54/182 [01:07<02:40,  1.25s/it]
Epoch 3, training loss 0.159:  30%|██▉       | 54/182 [01:08<02:41,  1.26s/it]
Epoch 3, training loss 0.159:  30%|███       | 55/182 [01:08<02:38,  1.25s/it]
Epoch 3, training loss 0.157:  30%|███       | 55/182 [01:09<02:40,  1.26s/it]
Epoch 3, training loss 0.157:  31%|███       | 56/182 [01:09<02:37,  1.25s/it]
Epoch 3, training loss 0.155:  31%|███       | 56/182 [01:10<02:38,  1.26s/it]
Epoch 3, training loss 0.155:  31%|███▏      | 57/182 [01:11<02:35,  1.25s/it]
Epoch 3, training loss 0.158:  31%|███▏      | 57/182 [01:11<02:37,  1.26s/it]
Epoch 3, training loss 0.158:  32%|███▏      | 58/182 [01:12<02:34,  1.24s/it]
Epoch 3, training loss 0.165:  32%|███▏      | 58/182 [01:12<02:35,  1.25s/it]
Epoch 3, training loss 0.165:  32%|███▏      | 59/182 [01:13<02:32,  1.24s/it]
Epoch 3, training loss 0.163:  32%|███▏      | 59/182 [01:13<02:34,  1.25s/it]
Epoch 3, training loss 0.163:  33%|███▎      | 60/182 [01:14<02:31,  1.24s/it]
Epoch 3, training loss 0.161:  33%|███▎      | 60/182 [01:15<02:32,  1.25s/it]
Epoch 3, training loss 0.161:  34%|███▎      | 61/182 [01:15<02:29,  1.24s/it]
Epoch 3, training loss 0.160:  34%|███▎      | 61/182 [01:16<02:31,  1.25s/it]
Epoch 3, training loss 0.160:  34%|███▍      | 62/182 [01:16<02:28,  1.24s/it]
Epoch 3, training loss 0.159:  34%|███▍      | 62/182 [01:17<02:30,  1.25s/it]
Epoch 3, training loss 0.159:  35%|███▍      | 63/182 [01:18<02:27,  1.24s/it]
Epoch 3, training loss 0.159:  35%|███▍      | 63/182 [01:18<02:28,  1.25s/it]
Epoch 3, training loss 0.159:  35%|███▌      | 64/182 [01:19<02:26,  1.24s/it]
Epoch 3, training loss 0.173:  35%|███▌      | 64/182 [01:19<02:27,  1.25s/it]
Epoch 3, training loss 0.173:  36%|███▌      | 65/182 [01:20<02:24,  1.24s/it]
Epoch 3, training loss 0.172:  36%|███▌      | 65/182 [01:21<02:25,  1.25s/it]
Epoch 3, training loss 0.172:  36%|███▋      | 66/182 [01:21<02:23,  1.24s/it]
Epoch 3, training loss 0.170:  36%|███▋      | 66/182 [01:22<02:24,  1.25s/it]
Epoch 3, training loss 0.170:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 3, training loss 0.169:  37%|███▋      | 67/182 [01:23<02:23,  1.24s/it]
Epoch 3, training loss 0.169:  37%|███▋      | 68/182 [01:23<02:20,  1.23s/it]
Epoch 3, training loss 0.167:  37%|███▋      | 68/182 [01:24<02:21,  1.24s/it]
Epoch 3, training loss 0.167:  38%|███▊      | 69/182 [01:25<02:19,  1.23s/it]
Epoch 3, training loss 0.166:  38%|███▊      | 69/182 [01:25<02:20,  1.24s/it]
Epoch 3, training loss 0.166:  38%|███▊      | 70/182 [01:26<02:17,  1.23s/it]
Epoch 3, training loss 0.166:  38%|███▊      | 70/182 [01:26<02:19,  1.24s/it]
Epoch 3, training loss 0.166:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 3, training loss 0.164:  39%|███▉      | 71/182 [01:28<02:17,  1.24s/it]
Epoch 3, training loss 0.164:  40%|███▉      | 72/182 [01:28<02:15,  1.23s/it]
Epoch 3, training loss 0.165:  40%|███▉      | 72/182 [01:29<02:16,  1.24s/it]
Epoch 3, training loss 0.165:  40%|████      | 73/182 [01:29<02:14,  1.23s/it]
Epoch 3, training loss 0.167:  40%|████      | 73/182 [01:30<02:15,  1.24s/it]
Epoch 3, training loss 0.167:  41%|████      | 74/182 [01:30<02:12,  1.23s/it]
Epoch 3, training loss 0.167:  41%|████      | 74/182 [01:31<02:13,  1.24s/it]
Epoch 3, training loss 0.167:  41%|████      | 75/182 [01:32<02:11,  1.23s/it]
Epoch 3, training loss 0.167:  41%|████      | 75/182 [01:32<02:12,  1.24s/it]
Epoch 3, training loss 0.167:  42%|████▏     | 76/182 [01:33<02:09,  1.23s/it]
Epoch 3, training loss 0.166:  42%|████▏     | 76/182 [01:33<02:11,  1.24s/it]
Epoch 3, training loss 0.166:  42%|████▏     | 77/182 [01:34<02:08,  1.23s/it]
Epoch 3, training loss 0.165:  42%|████▏     | 77/182 [01:35<02:09,  1.24s/it]
Epoch 3, training loss 0.165:  43%|████▎     | 78/182 [01:35<02:07,  1.23s/it]
Epoch 3, training loss 0.165:  43%|████▎     | 78/182 [01:36<02:08,  1.23s/it]
Epoch 3, training loss 0.165:  43%|████▎     | 79/182 [01:36<02:06,  1.23s/it]
Epoch 3, training loss 0.164:  43%|████▎     | 79/182 [01:37<02:07,  1.23s/it]
Epoch 3, training loss 0.164:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 3, training loss 0.163:  44%|████▍     | 80/182 [01:38<02:05,  1.23s/it]
Epoch 3, training loss 0.163:  45%|████▍     | 81/182 [01:39<02:03,  1.22s/it]
Epoch 3, training loss 0.163:  45%|████▍     | 81/182 [01:39<02:04,  1.23s/it]
Epoch 3, training loss 0.163:  45%|████▌     | 82/182 [01:40<02:02,  1.22s/it]
Epoch 3, training loss 0.162:  45%|████▌     | 82/182 [01:40<02:03,  1.23s/it]
Epoch 3, training loss 0.162:  46%|████▌     | 83/182 [01:41<02:00,  1.22s/it]
Epoch 3, training loss 0.162:  46%|████▌     | 83/182 [01:42<02:01,  1.23s/it]
Epoch 3, training loss 0.162:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 3, training loss 0.161:  46%|████▌     | 84/182 [01:43<02:00,  1.23s/it]
Epoch 3, training loss 0.161:  47%|████▋     | 85/182 [01:43<01:58,  1.22s/it]
Epoch 3, training loss 0.164:  47%|████▋     | 85/182 [01:44<01:59,  1.23s/it]
Epoch 3, training loss 0.164:  47%|████▋     | 86/182 [01:44<01:57,  1.22s/it]
Epoch 3, training loss 0.163:  47%|████▋     | 86/182 [01:45<01:57,  1.23s/it]
Epoch 3, training loss 0.163:  48%|████▊     | 87/182 [01:46<01:55,  1.22s/it]
Epoch 3, training loss 0.162:  48%|████▊     | 87/182 [01:46<01:56,  1.23s/it]
Epoch 3, training loss 0.162:  48%|████▊     | 88/182 [01:47<01:54,  1.22s/it]
Epoch 3, training loss 0.161:  48%|████▊     | 88/182 [01:47<01:55,  1.22s/it]
Epoch 3, training loss 0.161:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 3, training loss 0.161:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 3, training loss 0.161:  49%|████▉     | 90/182 [01:49<01:51,  1.21s/it]
Epoch 3, training loss 0.160:  49%|████▉     | 90/182 [01:49<01:52,  1.22s/it]
Epoch 3, training loss 0.160:  50%|█████     | 91/182 [01:50<01:50,  1.21s/it]
Epoch 3, training loss 0.160:  50%|█████     | 91/182 [01:51<01:51,  1.22s/it]
Epoch 3, training loss 0.160:  51%|█████     | 92/182 [01:51<01:49,  1.21s/it]
Epoch 3, training loss 0.160:  51%|█████     | 92/182 [01:52<01:49,  1.22s/it]
Epoch 3, training loss 0.160:  51%|█████     | 93/182 [01:52<01:47,  1.21s/it]
Epoch 3, training loss 0.160:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 3, training loss 0.160:  52%|█████▏    | 94/182 [01:53<01:46,  1.21s/it]
Epoch 3, training loss 0.160:  52%|█████▏    | 94/182 [01:54<01:47,  1.22s/it]
Epoch 3, training loss 0.160:  52%|█████▏    | 95/182 [01:54<01:45,  1.21s/it]
Epoch 3, training loss 0.163:  52%|█████▏    | 95/182 [01:55<01:45,  1.22s/it]
Epoch 3, training loss 0.163:  53%|█████▎    | 96/182 [01:55<01:43,  1.21s/it]
Epoch 3, training loss 0.163:  53%|█████▎    | 96/182 [01:56<01:44,  1.21s/it]
Epoch 3, training loss 0.163:  53%|█████▎    | 97/182 [01:57<01:42,  1.21s/it]
Epoch 3, training loss 0.163:  53%|█████▎    | 97/182 [01:57<01:43,  1.21s/it]
Epoch 3, training loss 0.163:  54%|█████▍    | 98/182 [01:58<01:41,  1.21s/it]
Epoch 3, training loss 0.162:  54%|█████▍    | 98/182 [01:58<01:41,  1.21s/it]
Epoch 3, training loss 0.162:  54%|█████▍    | 99/182 [01:59<01:40,  1.21s/it]
Epoch 3, training loss 0.162:  54%|█████▍    | 99/182 [02:00<01:40,  1.21s/it]
Epoch 3, training loss 0.162:  55%|█████▍    | 100/182 [02:00<01:38,  1.21s/it]
Epoch 3, training loss 0.163:  55%|█████▍    | 100/182 [02:01<01:39,  1.21s/it]
Epoch 3, training loss 0.163:  55%|█████▌    | 101/182 [02:01<01:37,  1.21s/it]
Epoch 3, training loss 0.165:  55%|█████▌    | 101/182 [02:02<01:38,  1.21s/it]
Epoch 3, training loss 0.165:  56%|█████▌    | 102/182 [02:02<01:36,  1.20s/it]
Epoch 3, training loss 0.164:  56%|█████▌    | 102/182 [02:03<01:36,  1.21s/it]
Epoch 3, training loss 0.164:  57%|█████▋    | 103/182 [02:03<01:35,  1.20s/it]
Epoch 3, training loss 0.164:  57%|█████▋    | 103/182 [02:04<01:35,  1.21s/it]
Epoch 3, training loss 0.164:  57%|█████▋    | 104/182 [02:05<01:33,  1.20s/it]
Epoch 3, training loss 0.163:  57%|█████▋    | 104/182 [02:05<01:34,  1.21s/it]
Epoch 3, training loss 0.163:  58%|█████▊    | 105/182 [02:06<01:32,  1.20s/it]
Epoch 3, training loss 0.162:  58%|█████▊    | 105/182 [02:07<01:33,  1.21s/it]
Epoch 3, training loss 0.162:  58%|█████▊    | 106/182 [02:07<01:31,  1.20s/it]
Epoch 3, training loss 0.162:  58%|█████▊    | 106/182 [02:08<01:32,  1.21s/it]
Epoch 3, training loss 0.162:  59%|█████▉    | 107/182 [02:08<01:30,  1.21s/it]
Epoch 3, training loss 0.161:  59%|█████▉    | 107/182 [02:09<01:30,  1.21s/it]
Epoch 3, training loss 0.161:  59%|█████▉    | 108/182 [02:10<01:29,  1.21s/it]
Epoch 3, training loss 0.161:  59%|█████▉    | 108/182 [02:10<01:29,  1.21s/it]
Epoch 3, training loss 0.161:  60%|█████▉    | 109/182 [02:11<01:27,  1.21s/it]
Epoch 3, training loss 0.161:  60%|█████▉    | 109/182 [02:12<01:28,  1.21s/it]
Epoch 3, training loss 0.161:  60%|██████    | 110/182 [02:12<01:26,  1.21s/it]
Epoch 3, training loss 0.171:  60%|██████    | 110/182 [02:13<01:27,  1.21s/it]
Epoch 3, training loss 0.171:  61%|██████    | 111/182 [02:13<01:25,  1.21s/it]
Epoch 3, training loss 0.170:  61%|██████    | 111/182 [02:14<01:26,  1.21s/it]
Epoch 3, training loss 0.170:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 3, training loss 0.170:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 3, training loss 0.170:  62%|██████▏   | 113/182 [02:16<01:23,  1.21s/it]
Epoch 3, training loss 0.169:  62%|██████▏   | 113/182 [02:17<01:23,  1.21s/it]
Epoch 3, training loss 0.169:  63%|██████▎   | 114/182 [02:17<01:22,  1.21s/it]
Epoch 3, training loss 0.168:  63%|██████▎   | 114/182 [02:18<01:22,  1.21s/it]
Epoch 3, training loss 0.168:  63%|██████▎   | 115/182 [02:18<01:20,  1.21s/it]
Epoch 3, training loss 0.167:  63%|██████▎   | 115/182 [02:19<01:21,  1.21s/it]
Epoch 3, training loss 0.167:  64%|██████▎   | 116/182 [02:19<01:19,  1.21s/it]
Epoch 3, training loss 0.170:  64%|██████▎   | 116/182 [02:20<01:19,  1.21s/it]
Epoch 3, training loss 0.170:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 3, training loss 0.171:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 3, training loss 0.171:  65%|██████▍   | 118/182 [02:22<01:17,  1.20s/it]
Epoch 3, training loss 0.170:  65%|██████▍   | 118/182 [02:22<01:17,  1.21s/it]
Epoch 3, training loss 0.170:  65%|██████▌   | 119/182 [02:23<01:15,  1.20s/it]
Epoch 3, training loss 0.170:  65%|██████▌   | 119/182 [02:24<01:16,  1.21s/it]
Epoch 3, training loss 0.170:  66%|██████▌   | 120/182 [02:24<01:14,  1.20s/it]
Epoch 3, training loss 0.173:  66%|██████▌   | 120/182 [02:25<01:15,  1.21s/it]
Epoch 3, training loss 0.173:  66%|██████▋   | 121/182 [02:25<01:13,  1.20s/it]
Epoch 3, training loss 0.177:  66%|██████▋   | 121/182 [02:26<01:13,  1.21s/it]
Epoch 3, training loss 0.177:  67%|██████▋   | 122/182 [02:26<01:12,  1.20s/it]
Epoch 3, training loss 0.177:  67%|██████▋   | 122/182 [02:27<01:12,  1.21s/it]
Epoch 3, training loss 0.177:  68%|██████▊   | 123/182 [02:28<01:11,  1.20s/it]
Epoch 3, training loss 0.176:  68%|██████▊   | 123/182 [02:28<01:11,  1.21s/it]
Epoch 3, training loss 0.176:  68%|██████▊   | 124/182 [02:29<01:09,  1.20s/it]
Epoch 3, training loss 0.176:  68%|██████▊   | 124/182 [02:29<01:10,  1.21s/it]
Epoch 3, training loss 0.176:  69%|██████▊   | 125/182 [02:30<01:08,  1.20s/it]
Epoch 3, training loss 0.175:  69%|██████▊   | 125/182 [02:31<01:08,  1.21s/it]
Epoch 3, training loss 0.175:  69%|██████▉   | 126/182 [02:31<01:07,  1.20s/it]
Epoch 3, training loss 0.174:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 3, training loss 0.174:  70%|██████▉   | 127/182 [02:32<01:06,  1.20s/it]
Epoch 3, training loss 0.173:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 3, training loss 0.173:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 3, training loss 0.173:  70%|███████   | 128/182 [02:34<01:05,  1.21s/it]
Epoch 3, training loss 0.173:  71%|███████   | 129/182 [02:35<01:03,  1.20s/it]
Epoch 3, training loss 0.172:  71%|███████   | 129/182 [02:35<01:03,  1.21s/it]
Epoch 3, training loss 0.172:  71%|███████▏  | 130/182 [02:36<01:02,  1.20s/it]
Epoch 3, training loss 0.172:  71%|███████▏  | 130/182 [02:36<01:02,  1.21s/it]
Epoch 3, training loss 0.172:  72%|███████▏  | 131/182 [02:37<01:01,  1.20s/it]
Epoch 3, training loss 0.172:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 3, training loss 0.172:  73%|███████▎  | 132/182 [02:38<01:00,  1.20s/it]
Epoch 3, training loss 0.173:  73%|███████▎  | 132/182 [02:39<01:00,  1.21s/it]
Epoch 3, training loss 0.173:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 3, training loss 0.172:  73%|███████▎  | 133/182 [02:40<00:59,  1.21s/it]
Epoch 3, training loss 0.172:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
Epoch 3, training loss 0.175:  74%|███████▎  | 134/182 [02:41<00:57,  1.21s/it]
Epoch 3, training loss 0.175:  74%|███████▍  | 135/182 [02:42<00:56,  1.20s/it]
Epoch 3, training loss 0.175:  74%|███████▍  | 135/182 [02:42<00:56,  1.21s/it]
Epoch 3, training loss 0.175:  75%|███████▍  | 136/182 [02:43<00:55,  1.20s/it]
Epoch 3, training loss 0.174:  75%|███████▍  | 136/182 [02:44<00:55,  1.21s/it]
Epoch 3, training loss 0.174:  75%|███████▌  | 137/182 [02:44<00:54,  1.20s/it]
Epoch 3, training loss 0.175:  75%|███████▌  | 137/182 [02:45<00:54,  1.21s/it]
Epoch 3, training loss 0.175:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 3, training loss 0.174:  76%|███████▌  | 138/182 [02:46<00:53,  1.21s/it]
Epoch 3, training loss 0.174:  76%|███████▋  | 139/182 [02:46<00:51,  1.20s/it]
Epoch 3, training loss 0.174:  76%|███████▋  | 139/182 [02:47<00:51,  1.21s/it]
Epoch 3, training loss 0.174:  77%|███████▋  | 140/182 [02:48<00:50,  1.20s/it]
Epoch 3, training loss 0.174:  77%|███████▋  | 140/182 [02:48<00:50,  1.21s/it]
Epoch 3, training loss 0.174:  77%|███████▋  | 141/182 [02:49<00:49,  1.20s/it]
Epoch 3, training loss 0.173:  77%|███████▋  | 141/182 [02:49<00:49,  1.20s/it]
Epoch 3, training loss 0.173:  78%|███████▊  | 142/182 [02:50<00:48,  1.20s/it]
Epoch 3, training loss 0.172:  78%|███████▊  | 142/182 [02:51<00:48,  1.20s/it]
Epoch 3, training loss 0.172:  79%|███████▊  | 143/182 [02:51<00:46,  1.20s/it]
Epoch 3, training loss 0.172:  79%|███████▊  | 143/182 [02:52<00:46,  1.21s/it]
Epoch 3, training loss 0.172:  79%|███████▉  | 144/182 [02:52<00:45,  1.20s/it]
Epoch 3, training loss 0.172:  79%|███████▉  | 144/182 [02:53<00:45,  1.20s/it]
Epoch 3, training loss 0.172:  80%|███████▉  | 145/182 [02:53<00:44,  1.20s/it]
Epoch 3, training loss 0.171:  80%|███████▉  | 145/182 [02:54<00:44,  1.21s/it]
Epoch 3, training loss 0.171:  80%|████████  | 146/182 [02:55<00:43,  1.20s/it]
Epoch 3, training loss 0.170:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 3, training loss 0.170:  81%|████████  | 147/182 [02:56<00:42,  1.20s/it]
Epoch 3, training loss 0.172:  81%|████████  | 147/182 [02:57<00:42,  1.21s/it]
Epoch 3, training loss 0.172:  81%|████████▏ | 148/182 [02:57<00:40,  1.20s/it]
Epoch 3, training loss 0.171:  81%|████████▏ | 148/182 [02:58<00:40,  1.21s/it]
Epoch 3, training loss 0.171:  82%|████████▏ | 149/182 [02:58<00:39,  1.20s/it]
Epoch 3, training loss 0.172:  82%|████████▏ | 149/182 [02:59<00:39,  1.21s/it]
Epoch 3, training loss 0.172:  82%|████████▏ | 150/182 [03:00<00:38,  1.20s/it]
Epoch 3, training loss 0.171:  82%|████████▏ | 150/182 [03:00<00:38,  1.21s/it]
Epoch 3, training loss 0.171:  83%|████████▎ | 151/182 [03:01<00:37,  1.20s/it]
Epoch 3, training loss 0.171:  83%|████████▎ | 151/182 [03:02<00:37,  1.21s/it]
Epoch 3, training loss 0.171:  84%|████████▎ | 152/182 [03:02<00:36,  1.20s/it]
Epoch 3, training loss 0.171:  84%|████████▎ | 152/182 [03:03<00:36,  1.21s/it]
Epoch 3, training loss 0.171:  84%|████████▍ | 153/182 [03:03<00:34,  1.20s/it]
Epoch 3, training loss 0.170:  84%|████████▍ | 153/182 [03:04<00:34,  1.20s/it]
Epoch 3, training loss 0.170:  85%|████████▍ | 154/182 [03:04<00:33,  1.20s/it]
Epoch 3, training loss 0.170:  85%|████████▍ | 154/182 [03:05<00:33,  1.20s/it]
Epoch 3, training loss 0.170:  85%|████████▌ | 155/182 [03:05<00:32,  1.20s/it]
Epoch 3, training loss 0.170:  85%|████████▌ | 155/182 [03:06<00:32,  1.20s/it]
Epoch 3, training loss 0.170:  86%|████████▌ | 156/182 [03:07<00:31,  1.20s/it]
Epoch 3, training loss 0.169:  86%|████████▌ | 156/182 [03:07<00:31,  1.20s/it]
Epoch 3, training loss 0.169:  86%|████████▋ | 157/182 [03:08<00:29,  1.20s/it]
Epoch 3, training loss 0.170:  86%|████████▋ | 157/182 [03:08<00:30,  1.20s/it]
Epoch 3, training loss 0.170:  87%|████████▋ | 158/182 [03:09<00:28,  1.20s/it]
Epoch 3, training loss 0.171:  87%|████████▋ | 158/182 [03:09<00:28,  1.20s/it]
Epoch 3, training loss 0.171:  87%|████████▋ | 159/182 [03:10<00:27,  1.20s/it]
Epoch 3, training loss 0.170:  87%|████████▋ | 159/182 [03:11<00:27,  1.20s/it]
Epoch 3, training loss 0.170:  88%|████████▊ | 160/182 [03:11<00:26,  1.20s/it]
Epoch 3, training loss 0.171:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 3, training loss 0.171:  88%|████████▊ | 161/182 [03:12<00:25,  1.20s/it]
Epoch 3, training loss 0.170:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 3, training loss 0.170:  89%|████████▉ | 162/182 [03:13<00:23,  1.20s/it]
Epoch 3, training loss 0.169:  89%|████████▉ | 162/182 [03:14<00:24,  1.20s/it]
Epoch 3, training loss 0.169:  90%|████████▉ | 163/182 [03:15<00:22,  1.20s/it]
Epoch 3, training loss 0.169:  90%|████████▉ | 163/182 [03:15<00:22,  1.20s/it]
Epoch 3, training loss 0.169:  90%|█████████ | 164/182 [03:16<00:21,  1.20s/it]
Epoch 3, training loss 0.168:  90%|█████████ | 164/182 [03:16<00:21,  1.20s/it]
Epoch 3, training loss 0.168:  91%|█████████ | 165/182 [03:17<00:20,  1.20s/it]
Epoch 3, training loss 0.168:  91%|█████████ | 165/182 [03:17<00:20,  1.20s/it]
Epoch 3, training loss 0.168:  91%|█████████ | 166/182 [03:18<00:19,  1.20s/it]
Epoch 3, training loss 0.167:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 3, training loss 0.167:  92%|█████████▏| 167/182 [03:19<00:17,  1.20s/it]
Epoch 3, training loss 0.166:  92%|█████████▏| 167/182 [03:20<00:17,  1.20s/it]
Epoch 3, training loss 0.166:  92%|█████████▏| 168/182 [03:20<00:16,  1.19s/it]
Epoch 3, training loss 0.166:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 3, training loss 0.166:  93%|█████████▎| 169/182 [03:21<00:15,  1.19s/it]
Epoch 3, training loss 0.166:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 3, training loss 0.166:  93%|█████████▎| 170/182 [03:23<00:14,  1.19s/it]
Epoch 3, training loss 0.165:  93%|█████████▎| 170/182 [03:23<00:14,  1.20s/it]
Epoch 3, training loss 0.165:  94%|█████████▍| 171/182 [03:24<00:13,  1.19s/it]
Epoch 3, training loss 0.164:  94%|█████████▍| 171/182 [03:24<00:13,  1.20s/it]
Epoch 3, training loss 0.164:  95%|█████████▍| 172/182 [03:25<00:11,  1.19s/it]
Epoch 3, training loss 0.166:  95%|█████████▍| 172/182 [03:25<00:11,  1.20s/it]
Epoch 3, training loss 0.166:  95%|█████████▌| 173/182 [03:26<00:10,  1.19s/it]
Epoch 3, training loss 0.166:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 3, training loss 0.166:  96%|█████████▌| 174/182 [03:27<00:09,  1.19s/it]
Epoch 3, training loss 0.165:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 3, training loss 0.165:  96%|█████████▌| 175/182 [03:28<00:08,  1.19s/it]
Epoch 3, training loss 0.165:  96%|█████████▌| 175/182 [03:29<00:08,  1.20s/it]
Epoch 3, training loss 0.165:  97%|█████████▋| 176/182 [03:29<00:07,  1.19s/it]
Epoch 3, training loss 0.165:  97%|█████████▋| 176/182 [03:30<00:07,  1.20s/it]
Epoch 3, training loss 0.165:  97%|█████████▋| 177/182 [03:30<00:05,  1.19s/it]
Epoch 3, training loss 0.164:  97%|█████████▋| 177/182 [03:31<00:05,  1.20s/it]
Epoch 3, training loss 0.164:  98%|█████████▊| 178/182 [03:32<00:04,  1.19s/it]
Epoch 3, training loss 0.165:  98%|█████████▊| 178/182 [03:32<00:04,  1.19s/it]
Epoch 3, training loss 0.165:  98%|█████████▊| 179/182 [03:33<00:03,  1.19s/it]
Epoch 3, training loss 0.167:  98%|█████████▊| 179/182 [03:33<00:03,  1.19s/it]
Epoch 3, training loss 0.167:  99%|█████████▉| 180/182 [03:34<00:02,  1.19s/it]
Epoch 3, training loss 0.167:  99%|█████████▉| 180/182 [03:34<00:02,  1.19s/it]
Epoch 3, training loss 0.167:  99%|█████████▉| 181/182 [03:35<00:01,  1.19s/it]
Epoch 3, training loss 0.167:  99%|█████████▉| 181/182 [03:36<00:01,  1.19s/it]
Epoch 3, training loss 0.167: 100%|██████████| 182/182 [03:36<00:00,  1.19s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.577:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.577:   1%|          | 1/91 [00:04<06:40,  4.45s/it]
Epoch 3, validation pixAcc: 0.973, mIoU: 0.725:   1%|          | 1/91 [00:04<07:19,  4.89s/it]
Epoch 3, validation pixAcc: 0.973, mIoU: 0.725:   2%|▏         | 2/91 [00:04<03:37,  2.44s/it]
Epoch 3, validation pixAcc: 0.974, mIoU: 0.760:   2%|▏         | 2/91 [00:05<03:57,  2.67s/it]
Epoch 3, validation pixAcc: 0.974, mIoU: 0.760:   3%|▎         | 3/91 [00:05<02:36,  1.78s/it]
Epoch 3, validation pixAcc: 0.974, mIoU: 0.773:   3%|▎         | 3/91 [00:05<02:49,  1.93s/it]
Epoch 3, validation pixAcc: 0.974, mIoU: 0.773:   4%|▍         | 4/91 [00:05<02:05,  1.45s/it]
Epoch 3, validation pixAcc: 0.974, mIoU: 0.868:   4%|▍         | 4/91 [00:06<02:15,  1.55s/it]
Epoch 3, validation pixAcc: 0.974, mIoU: 0.868:   5%|▌         | 5/91 [00:06<01:46,  1.24s/it]
Epoch 3, validation pixAcc: 0.972, mIoU: 0.876:   5%|▌         | 5/91 [00:06<01:55,  1.34s/it]
Epoch 3, validation pixAcc: 0.972, mIoU: 0.876:   7%|▋         | 6/91 [00:06<01:34,  1.12s/it]
Epoch 3, validation pixAcc: 0.968, mIoU: 0.871:   7%|▋         | 6/91 [00:07<01:40,  1.19s/it]
Epoch 3, validation pixAcc: 0.968, mIoU: 0.871:   8%|▊         | 7/91 [00:07<01:25,  1.02s/it]
Epoch 3, validation pixAcc: 0.967, mIoU: 0.861:   8%|▊         | 7/91 [00:07<01:30,  1.08s/it]
Epoch 3, validation pixAcc: 0.967, mIoU: 0.861:   9%|▉         | 8/91 [00:07<01:18,  1.06it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.865:   9%|▉         | 8/91 [00:07<01:22,  1.00it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.865:  10%|▉         | 9/91 [00:07<01:12,  1.13it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.868:  10%|▉         | 9/91 [00:08<01:16,  1.07it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.868:  11%|█         | 10/91 [00:08<01:08,  1.18it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.869:  11%|█         | 10/91 [00:08<01:12,  1.12it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.869:  12%|█▏        | 11/91 [00:08<01:04,  1.24it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.867:  12%|█▏        | 11/91 [00:09<01:07,  1.18it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.867:  13%|█▎        | 12/91 [00:09<01:01,  1.29it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.864:  13%|█▎        | 12/91 [00:09<01:04,  1.23it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.864:  14%|█▍        | 13/91 [00:09<00:58,  1.33it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.873:  14%|█▍        | 13/91 [00:10<01:01,  1.27it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.873:  15%|█▌        | 14/91 [00:10<00:56,  1.37it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.871:  15%|█▌        | 14/91 [00:10<00:58,  1.31it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.871:  16%|█▋        | 15/91 [00:10<00:54,  1.41it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.878:  16%|█▋        | 15/91 [00:11<00:56,  1.35it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.878:  18%|█▊        | 16/91 [00:11<00:52,  1.44it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.874:  18%|█▊        | 16/91 [00:11<00:54,  1.38it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.874:  19%|█▊        | 17/91 [00:11<00:50,  1.47it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.875:  19%|█▊        | 17/91 [00:12<00:52,  1.42it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.875:  20%|█▉        | 18/91 [00:12<00:48,  1.50it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.870:  20%|█▉        | 18/91 [00:12<00:50,  1.44it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.870:  21%|██        | 19/91 [00:12<00:47,  1.52it/s]
Epoch 3, validation pixAcc: 0.968, mIoU: 0.866:  21%|██        | 19/91 [00:12<00:48,  1.48it/s]
Epoch 3, validation pixAcc: 0.968, mIoU: 0.866:  22%|██▏       | 20/91 [00:12<00:45,  1.56it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.867:  22%|██▏       | 20/91 [00:13<00:47,  1.51it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.867:  23%|██▎       | 21/91 [00:13<00:44,  1.59it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.868:  23%|██▎       | 21/91 [00:13<00:45,  1.54it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.868:  24%|██▍       | 22/91 [00:13<00:42,  1.61it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.870:  24%|██▍       | 22/91 [00:14<00:44,  1.56it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.870:  25%|██▌       | 23/91 [00:14<00:41,  1.63it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.868:  25%|██▌       | 23/91 [00:14<00:42,  1.59it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.868:  26%|██▋       | 24/91 [00:14<00:40,  1.65it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.868:  26%|██▋       | 24/91 [00:14<00:41,  1.60it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.868:  27%|██▋       | 25/91 [00:14<00:39,  1.67it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.870:  27%|██▋       | 25/91 [00:15<00:40,  1.62it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.870:  29%|██▊       | 26/91 [00:15<00:38,  1.69it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.870:  29%|██▊       | 26/91 [00:15<00:39,  1.64it/s]
Epoch 3, validation pixAcc: 0.969, mIoU: 0.870:  30%|██▉       | 27/91 [00:15<00:37,  1.70it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.875:  30%|██▉       | 27/91 [00:16<00:38,  1.66it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.875:  31%|███       | 28/91 [00:16<00:36,  1.72it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.874:  31%|███       | 28/91 [00:16<00:37,  1.67it/s]
Epoch 3, validation pixAcc: 0.970, mIoU: 0.874:  32%|███▏      | 29/91 [00:16<00:35,  1.73it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.877:  32%|███▏      | 29/91 [00:17<00:36,  1.69it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.877:  33%|███▎      | 30/91 [00:17<00:34,  1.75it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.879:  33%|███▎      | 30/91 [00:17<00:35,  1.71it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.879:  34%|███▍      | 31/91 [00:17<00:34,  1.76it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.880:  34%|███▍      | 31/91 [00:17<00:34,  1.72it/s]
Epoch 3, validation pixAcc: 0.971, mIoU: 0.880:  35%|███▌      | 32/91 [00:17<00:33,  1.78it/s]
Epoch 3, validation pixAcc: 0.972, mIoU: 0.882:  35%|███▌      | 32/91 [00:18<00:33,  1.74it/s]
Epoch 3, validation pixAcc: 0.972, mIoU: 0.882:  36%|███▋      | 33/91 [00:18<00:32,  1.79it/s]
Epoch 3, validation pixAcc: 0.972, mIoU: 0.884:  36%|███▋      | 33/91 [00:18<00:33,  1.75it/s]
Epoch 3, validation pixAcc: 0.972, mIoU: 0.884:  37%|███▋      | 34/91 [00:18<00:31,  1.80it/s]
Epoch 3, validation pixAcc: 0.972, mIoU: 0.884:  37%|███▋      | 34/91 [00:19<00:32,  1.77it/s]
Epoch 3, validation pixAcc: 0.972, mIoU: 0.884:  38%|███▊      | 35/91 [00:19<00:30,  1.82it/s]
Epoch 3, validation pixAcc: 0.972, mIoU: 0.883:  38%|███▊      | 35/91 [00:19<00:31,  1.78it/s]
Epoch 3, validation pixAcc: 0.972, mIoU: 0.883:  40%|███▉      | 36/91 [00:19<00:30,  1.83it/s]
Epoch 3, validation pixAcc: 0.972, mIoU: 0.884:  40%|███▉      | 36/91 [00:20<00:30,  1.79it/s]
Epoch 3, validation pixAcc: 0.972, mIoU: 0.884:  41%|████      | 37/91 [00:20<00:29,  1.84it/s]
Epoch 3, validation pixAcc: 0.973, mIoU: 0.884:  41%|████      | 37/91 [00:20<00:29,  1.80it/s]
Epoch 3, validation pixAcc: 0.973, mIoU: 0.884:  42%|████▏     | 38/91 [00:20<00:28,  1.85it/s]
Epoch 3, validation pixAcc: 0.973, mIoU: 0.884:  42%|████▏     | 38/91 [00:20<00:29,  1.81it/s]
Epoch 3, validation pixAcc: 0.973, mIoU: 0.884:  43%|████▎     | 39/91 [00:20<00:27,  1.86it/s]
Epoch 3, validation pixAcc: 0.973, mIoU: 0.887:  43%|████▎     | 39/91 [00:21<00:28,  1.82it/s]
Epoch 3, validation pixAcc: 0.973, mIoU: 0.887:  44%|████▍     | 40/91 [00:21<00:27,  1.87it/s]
Epoch 3, validation pixAcc: 0.973, mIoU: 0.887:  44%|████▍     | 40/91 [00:21<00:27,  1.83it/s]
Epoch 3, validation pixAcc: 0.973, mIoU: 0.887:  45%|████▌     | 41/91 [00:21<00:26,  1.88it/s]
Epoch 3, validation pixAcc: 0.973, mIoU: 0.888:  45%|████▌     | 41/91 [00:22<00:27,  1.84it/s]
Epoch 3, validation pixAcc: 0.973, mIoU: 0.888:  46%|████▌     | 42/91 [00:22<00:25,  1.89it/s]
Epoch 3, validation pixAcc: 0.974, mIoU: 0.889:  46%|████▌     | 42/91 [00:22<00:26,  1.85it/s]
Epoch 3, validation pixAcc: 0.974, mIoU: 0.889:  47%|████▋     | 43/91 [00:22<00:25,  1.90it/s]
Epoch 3, validation pixAcc: 0.974, mIoU: 0.890:  47%|████▋     | 43/91 [00:23<00:25,  1.86it/s]
Epoch 3, validation pixAcc: 0.974, mIoU: 0.890:  48%|████▊     | 44/91 [00:23<00:24,  1.90it/s]
Epoch 3, validation pixAcc: 0.974, mIoU: 0.890:  48%|████▊     | 44/91 [00:23<00:25,  1.86it/s]
Epoch 3, validation pixAcc: 0.974, mIoU: 0.890:  49%|████▉     | 45/91 [00:23<00:24,  1.91it/s]
Epoch 3, validation pixAcc: 0.974, mIoU: 0.891:  49%|████▉     | 45/91 [00:24<00:24,  1.87it/s]
Epoch 3, validation pixAcc: 0.974, mIoU: 0.891:  51%|█████     | 46/91 [00:24<00:23,  1.91it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.892:  51%|█████     | 46/91 [00:24<00:23,  1.88it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.892:  52%|█████▏    | 47/91 [00:24<00:22,  1.92it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.892:  52%|█████▏    | 47/91 [00:24<00:23,  1.89it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.892:  53%|█████▎    | 48/91 [00:24<00:22,  1.93it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.891:  53%|█████▎    | 48/91 [00:25<00:22,  1.90it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.891:  54%|█████▍    | 49/91 [00:25<00:21,  1.94it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.891:  54%|█████▍    | 49/91 [00:25<00:22,  1.91it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.891:  55%|█████▍    | 50/91 [00:25<00:21,  1.95it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.892:  55%|█████▍    | 50/91 [00:26<00:21,  1.91it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.892:  56%|█████▌    | 51/91 [00:26<00:20,  1.95it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.893:  56%|█████▌    | 51/91 [00:26<00:20,  1.92it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.893:  57%|█████▋    | 52/91 [00:26<00:19,  1.96it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.893:  57%|█████▋    | 52/91 [00:26<00:20,  1.93it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.893:  58%|█████▊    | 53/91 [00:26<00:19,  1.96it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.893:  58%|█████▊    | 53/91 [00:27<00:19,  1.93it/s]
Epoch 3, validation pixAcc: 0.975, mIoU: 0.893:  59%|█████▉    | 54/91 [00:27<00:18,  1.97it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.893:  59%|█████▉    | 54/91 [00:27<00:19,  1.94it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.893:  60%|██████    | 55/91 [00:27<00:18,  1.97it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.894:  60%|██████    | 55/91 [00:28<00:18,  1.94it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.894:  62%|██████▏   | 56/91 [00:28<00:17,  1.98it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.894:  62%|██████▏   | 56/91 [00:28<00:17,  1.95it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.894:  63%|██████▎   | 57/91 [00:28<00:17,  1.98it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.894:  63%|██████▎   | 57/91 [00:29<00:17,  1.96it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.894:  64%|██████▎   | 58/91 [00:29<00:16,  1.99it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.894:  64%|██████▎   | 58/91 [00:29<00:16,  1.96it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.894:  65%|██████▍   | 59/91 [00:29<00:16,  2.00it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.893:  65%|██████▍   | 59/91 [00:30<00:16,  1.97it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.893:  66%|██████▌   | 60/91 [00:30<00:15,  2.00it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.895:  66%|██████▌   | 60/91 [00:30<00:15,  1.97it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.895:  67%|██████▋   | 61/91 [00:30<00:14,  2.00it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.895:  67%|██████▋   | 61/91 [00:30<00:15,  1.97it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.895:  68%|██████▊   | 62/91 [00:30<00:14,  2.01it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.896:  68%|██████▊   | 62/91 [00:31<00:14,  1.98it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.896:  69%|██████▉   | 63/91 [00:31<00:13,  2.01it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.896:  69%|██████▉   | 63/91 [00:31<00:14,  1.98it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.896:  70%|███████   | 64/91 [00:31<00:13,  2.01it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.897:  70%|███████   | 64/91 [00:32<00:13,  1.99it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.897:  71%|███████▏  | 65/91 [00:32<00:12,  2.02it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.897:  71%|███████▏  | 65/91 [00:32<00:13,  1.99it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.897:  73%|███████▎  | 66/91 [00:32<00:12,  2.02it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.897:  73%|███████▎  | 66/91 [00:33<00:12,  2.00it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.897:  74%|███████▎  | 67/91 [00:33<00:11,  2.03it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.897:  74%|███████▎  | 67/91 [00:33<00:11,  2.00it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.897:  75%|███████▍  | 68/91 [00:33<00:11,  2.03it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.897:  75%|███████▍  | 68/91 [00:33<00:11,  2.00it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.897:  76%|███████▌  | 69/91 [00:33<00:10,  2.03it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.898:  76%|███████▌  | 69/91 [00:34<00:10,  2.01it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.898:  77%|███████▋  | 70/91 [00:34<00:10,  2.04it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.898:  77%|███████▋  | 70/91 [00:34<00:10,  2.01it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.898:  78%|███████▊  | 71/91 [00:34<00:09,  2.04it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  78%|███████▊  | 71/91 [00:35<00:09,  2.01it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  79%|███████▉  | 72/91 [00:35<00:09,  2.04it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  79%|███████▉  | 72/91 [00:35<00:09,  2.02it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  80%|████████  | 73/91 [00:35<00:08,  2.04it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  80%|████████  | 73/91 [00:36<00:08,  2.02it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  81%|████████▏ | 74/91 [00:36<00:08,  2.05it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  81%|████████▏ | 74/91 [00:36<00:08,  2.02it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  82%|████████▏ | 75/91 [00:36<00:07,  2.05it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.897:  82%|████████▏ | 75/91 [00:37<00:07,  2.03it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.897:  84%|████████▎ | 76/91 [00:37<00:07,  2.05it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.897:  84%|████████▎ | 76/91 [00:37<00:07,  2.03it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.897:  85%|████████▍ | 77/91 [00:37<00:06,  2.06it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.897:  85%|████████▍ | 77/91 [00:37<00:06,  2.03it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.897:  86%|████████▌ | 78/91 [00:37<00:06,  2.06it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.897:  86%|████████▌ | 78/91 [00:38<00:06,  2.04it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.897:  87%|████████▋ | 79/91 [00:38<00:05,  2.06it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.898:  87%|████████▋ | 79/91 [00:38<00:05,  2.04it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.898:  88%|████████▊ | 80/91 [00:38<00:05,  2.07it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.898:  88%|████████▊ | 80/91 [00:39<00:05,  2.04it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.898:  89%|████████▉ | 81/91 [00:39<00:04,  2.07it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  89%|████████▉ | 81/91 [00:39<00:04,  2.05it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  90%|█████████ | 82/91 [00:39<00:04,  2.07it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  90%|█████████ | 82/91 [00:40<00:04,  2.05it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  91%|█████████ | 83/91 [00:40<00:03,  2.07it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.900:  91%|█████████ | 83/91 [00:40<00:03,  2.05it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.900:  92%|█████████▏| 84/91 [00:40<00:03,  2.08it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  92%|█████████▏| 84/91 [00:40<00:03,  2.06it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  93%|█████████▎| 85/91 [00:40<00:02,  2.08it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  93%|█████████▎| 85/91 [00:41<00:02,  2.06it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  95%|█████████▍| 86/91 [00:41<00:02,  2.08it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  95%|█████████▍| 86/91 [00:41<00:02,  2.06it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  96%|█████████▌| 87/91 [00:41<00:01,  2.08it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  96%|█████████▌| 87/91 [00:42<00:01,  2.06it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.899:  97%|█████████▋| 88/91 [00:42<00:01,  2.08it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.898:  97%|█████████▋| 88/91 [00:42<00:01,  2.07it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.898:  98%|█████████▊| 89/91 [00:42<00:00,  2.09it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.898:  98%|█████████▊| 89/91 [00:43<00:00,  2.07it/s]
Epoch 3, validation pixAcc: 0.977, mIoU: 0.898:  99%|█████████▉| 90/91 [00:43<00:00,  2.09it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.897:  99%|█████████▉| 90/91 [00:43<00:00,  2.07it/s]
Epoch 3, validation pixAcc: 0.976, mIoU: 0.897: 100%|██████████| 91/91 [00:43<00:00,  2.09it/s]

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Epoch 4, training loss 1.362:   0%|          | 0/182 [00:05<?, ?it/s]
Epoch 4, training loss 1.362:   1%|          | 1/182 [00:05<16:54,  5.60s/it]
Epoch 4, training loss 0.846:   1%|          | 1/182 [00:06<18:54,  6.27s/it]
Epoch 4, training loss 0.846:   1%|          | 2/182 [00:06<10:11,  3.40s/it]
Epoch 4, training loss 0.593:   1%|          | 2/182 [00:07<11:18,  3.77s/it]
Epoch 4, training loss 0.593:   2%|▏         | 3/182 [00:08<07:59,  2.68s/it]
Epoch 4, training loss 0.481:   2%|▏         | 3/182 [00:08<08:40,  2.91s/it]
Epoch 4, training loss 0.481:   2%|▏         | 4/182 [00:09<06:51,  2.31s/it]
Epoch 4, training loss 0.409:   2%|▏         | 4/182 [00:09<07:19,  2.47s/it]
Epoch 4, training loss 0.409:   3%|▎         | 5/182 [00:10<06:07,  2.08s/it]
Epoch 4, training loss 0.382:   3%|▎         | 5/182 [00:11<06:30,  2.21s/it]
Epoch 4, training loss 0.382:   3%|▎         | 6/182 [00:11<05:38,  1.92s/it]
Epoch 4, training loss 0.335:   3%|▎         | 6/182 [00:12<05:57,  2.03s/it]
Epoch 4, training loss 0.335:   4%|▍         | 7/182 [00:12<05:17,  1.81s/it]
Epoch 4, training loss 0.303:   4%|▍         | 7/182 [00:13<05:34,  1.91s/it]
Epoch 4, training loss 0.303:   4%|▍         | 8/182 [00:13<05:02,  1.74s/it]
Epoch 4, training loss 0.285:   4%|▍         | 8/182 [00:14<05:16,  1.82s/it]
Epoch 4, training loss 0.285:   5%|▍         | 9/182 [00:15<04:49,  1.67s/it]
Epoch 4, training loss 0.271:   5%|▍         | 9/182 [00:15<05:02,  1.75s/it]
Epoch 4, training loss 0.271:   5%|▌         | 10/182 [00:16<04:39,  1.62s/it]
Epoch 4, training loss 0.264:   5%|▌         | 10/182 [00:16<04:49,  1.69s/it]
Epoch 4, training loss 0.264:   6%|▌         | 11/182 [00:17<04:29,  1.58s/it]
Epoch 4, training loss 0.275:   6%|▌         | 11/182 [00:18<04:40,  1.64s/it]
Epoch 4, training loss 0.275:   7%|▋         | 12/182 [00:18<04:22,  1.54s/it]
Epoch 4, training loss 0.265:   7%|▋         | 12/182 [00:19<04:31,  1.60s/it]
Epoch 4, training loss 0.265:   7%|▋         | 13/182 [00:19<04:15,  1.51s/it]
Epoch 4, training loss 0.249:   7%|▋         | 13/182 [00:20<04:23,  1.56s/it]
Epoch 4, training loss 0.249:   8%|▊         | 14/182 [00:20<04:09,  1.49s/it]
Epoch 4, training loss 0.253:   8%|▊         | 14/182 [00:21<04:16,  1.53s/it]
Epoch 4, training loss 0.253:   8%|▊         | 15/182 [00:21<04:04,  1.46s/it]
Epoch 4, training loss 0.248:   8%|▊         | 15/182 [00:22<04:11,  1.51s/it]
Epoch 4, training loss 0.248:   9%|▉         | 16/182 [00:23<03:59,  1.44s/it]
Epoch 4, training loss 0.242:   9%|▉         | 16/182 [00:23<04:07,  1.49s/it]
Epoch 4, training loss 0.242:   9%|▉         | 17/182 [00:24<03:56,  1.43s/it]
Epoch 4, training loss 0.244:   9%|▉         | 17/182 [00:25<04:02,  1.47s/it]
Epoch 4, training loss 0.244:  10%|▉         | 18/182 [00:25<03:52,  1.42s/it]
Epoch 4, training loss 0.235:  10%|▉         | 18/182 [00:26<03:59,  1.46s/it]
Epoch 4, training loss 0.235:  10%|█         | 19/182 [00:26<03:49,  1.41s/it]
Epoch 4, training loss 0.227:  10%|█         | 19/182 [00:27<03:55,  1.44s/it]
Epoch 4, training loss 0.227:  11%|█         | 20/182 [00:27<03:45,  1.39s/it]
Epoch 4, training loss 0.244:  11%|█         | 20/182 [00:28<03:51,  1.43s/it]
Epoch 4, training loss 0.244:  12%|█▏        | 21/182 [00:29<03:42,  1.38s/it]
Epoch 4, training loss 0.248:  12%|█▏        | 21/182 [00:29<03:47,  1.42s/it]
Epoch 4, training loss 0.248:  12%|█▏        | 22/182 [00:30<03:39,  1.37s/it]
Epoch 4, training loss 0.242:  12%|█▏        | 22/182 [00:30<03:44,  1.40s/it]
Epoch 4, training loss 0.242:  13%|█▎        | 23/182 [00:31<03:36,  1.36s/it]
Epoch 4, training loss 0.236:  13%|█▎        | 23/182 [00:31<03:41,  1.39s/it]
Epoch 4, training loss 0.236:  13%|█▎        | 24/182 [00:32<03:33,  1.35s/it]
Epoch 4, training loss 0.230:  13%|█▎        | 24/182 [00:33<03:37,  1.38s/it]
Epoch 4, training loss 0.230:  14%|█▎        | 25/182 [00:33<03:31,  1.34s/it]
Epoch 4, training loss 0.223:  14%|█▎        | 25/182 [00:34<03:35,  1.37s/it]
Epoch 4, training loss 0.223:  14%|█▍        | 26/182 [00:34<03:28,  1.34s/it]
Epoch 4, training loss 0.217:  14%|█▍        | 26/182 [00:35<03:32,  1.36s/it]
Epoch 4, training loss 0.217:  15%|█▍        | 27/182 [00:35<03:26,  1.33s/it]
Epoch 4, training loss 0.215:  15%|█▍        | 27/182 [00:36<03:30,  1.36s/it]
Epoch 4, training loss 0.215:  15%|█▌        | 28/182 [00:37<03:24,  1.33s/it]
Epoch 4, training loss 0.210:  15%|█▌        | 28/182 [00:37<03:28,  1.35s/it]
Epoch 4, training loss 0.210:  16%|█▌        | 29/182 [00:38<03:22,  1.32s/it]
Epoch 4, training loss 0.205:  16%|█▌        | 29/182 [00:39<03:26,  1.35s/it]
Epoch 4, training loss 0.205:  16%|█▋        | 30/182 [00:39<03:20,  1.32s/it]
Epoch 4, training loss 0.203:  16%|█▋        | 30/182 [00:40<03:23,  1.34s/it]
Epoch 4, training loss 0.203:  17%|█▋        | 31/182 [00:40<03:18,  1.31s/it]
Epoch 4, training loss 0.200:  17%|█▋        | 31/182 [00:41<03:21,  1.34s/it]
Epoch 4, training loss 0.200:  18%|█▊        | 32/182 [00:41<03:16,  1.31s/it]
Epoch 4, training loss 0.196:  18%|█▊        | 32/182 [00:42<03:19,  1.33s/it]
Epoch 4, training loss 0.196:  18%|█▊        | 33/182 [00:43<03:14,  1.30s/it]
Epoch 4, training loss 0.191:  18%|█▊        | 33/182 [00:43<03:16,  1.32s/it]
Epoch 4, training loss 0.191:  19%|█▊        | 34/182 [00:44<03:12,  1.30s/it]
Epoch 4, training loss 0.190:  19%|█▊        | 34/182 [00:44<03:14,  1.32s/it]
Epoch 4, training loss 0.190:  19%|█▉        | 35/182 [00:45<03:10,  1.29s/it]
Epoch 4, training loss 0.186:  19%|█▉        | 35/182 [00:45<03:13,  1.31s/it]
Epoch 4, training loss 0.186:  20%|█▉        | 36/182 [00:46<03:08,  1.29s/it]
Epoch 4, training loss 0.182:  20%|█▉        | 36/182 [00:47<03:10,  1.31s/it]
Epoch 4, training loss 0.182:  20%|██        | 37/182 [00:47<03:06,  1.29s/it]
Epoch 4, training loss 0.182:  20%|██        | 37/182 [00:48<03:09,  1.30s/it]
Epoch 4, training loss 0.182:  21%|██        | 38/182 [00:48<03:04,  1.28s/it]
Epoch 4, training loss 0.181:  21%|██        | 38/182 [00:49<03:07,  1.30s/it]
Epoch 4, training loss 0.181:  21%|██▏       | 39/182 [00:49<03:03,  1.28s/it]
Epoch 4, training loss 0.179:  21%|██▏       | 39/182 [00:50<03:05,  1.30s/it]
Epoch 4, training loss 0.179:  22%|██▏       | 40/182 [00:51<03:01,  1.28s/it]
Epoch 4, training loss 0.178:  22%|██▏       | 40/182 [00:51<03:04,  1.30s/it]
Epoch 4, training loss 0.178:  23%|██▎       | 41/182 [00:52<02:59,  1.28s/it]
Epoch 4, training loss 0.175:  23%|██▎       | 41/182 [00:52<03:02,  1.29s/it]
Epoch 4, training loss 0.175:  23%|██▎       | 42/182 [00:53<02:58,  1.27s/it]
Epoch 4, training loss 0.173:  23%|██▎       | 42/182 [00:54<03:00,  1.29s/it]
Epoch 4, training loss 0.173:  24%|██▎       | 43/182 [00:54<02:56,  1.27s/it]
Epoch 4, training loss 0.173:  24%|██▎       | 43/182 [00:55<02:58,  1.29s/it]
Epoch 4, training loss 0.173:  24%|██▍       | 44/182 [00:55<02:54,  1.27s/it]
Epoch 4, training loss 0.170:  24%|██▍       | 44/182 [00:56<02:57,  1.29s/it]
Epoch 4, training loss 0.170:  25%|██▍       | 45/182 [00:57<02:53,  1.27s/it]
Epoch 4, training loss 0.168:  25%|██▍       | 45/182 [00:57<02:56,  1.29s/it]
Epoch 4, training loss 0.168:  25%|██▌       | 46/182 [00:58<02:52,  1.27s/it]
Epoch 4, training loss 0.167:  25%|██▌       | 46/182 [00:59<02:54,  1.29s/it]
Epoch 4, training loss 0.167:  26%|██▌       | 47/182 [00:59<02:51,  1.27s/it]
Epoch 4, training loss 0.177:  26%|██▌       | 47/182 [01:00<02:53,  1.28s/it]
Epoch 4, training loss 0.177:  26%|██▋       | 48/182 [01:00<02:49,  1.26s/it]
Epoch 4, training loss 0.175:  26%|██▋       | 48/182 [01:01<02:51,  1.28s/it]
Epoch 4, training loss 0.175:  27%|██▋       | 49/182 [01:01<02:47,  1.26s/it]
Epoch 4, training loss 0.174:  27%|██▋       | 49/182 [01:02<02:49,  1.27s/it]
Epoch 4, training loss 0.174:  27%|██▋       | 50/182 [01:02<02:46,  1.26s/it]
Epoch 4, training loss 0.174:  27%|██▋       | 50/182 [01:03<02:47,  1.27s/it]
Epoch 4, training loss 0.174:  28%|██▊       | 51/182 [01:04<02:44,  1.26s/it]
Epoch 4, training loss 0.175:  28%|██▊       | 51/182 [01:04<02:46,  1.27s/it]
Epoch 4, training loss 0.175:  29%|██▊       | 52/182 [01:05<02:43,  1.25s/it]
Epoch 4, training loss 0.181:  29%|██▊       | 52/182 [01:05<02:44,  1.27s/it]
Epoch 4, training loss 0.181:  29%|██▉       | 53/182 [01:06<02:41,  1.25s/it]
Epoch 4, training loss 0.178:  29%|██▉       | 53/182 [01:07<02:43,  1.27s/it]
Epoch 4, training loss 0.178:  30%|██▉       | 54/182 [01:07<02:40,  1.25s/it]
Epoch 4, training loss 0.175:  30%|██▉       | 54/182 [01:08<02:41,  1.26s/it]
Epoch 4, training loss 0.175:  30%|███       | 55/182 [01:08<02:38,  1.25s/it]
Epoch 4, training loss 0.173:  30%|███       | 55/182 [01:09<02:39,  1.26s/it]
Epoch 4, training loss 0.173:  31%|███       | 56/182 [01:09<02:36,  1.25s/it]
Epoch 4, training loss 0.192:  31%|███       | 56/182 [01:10<02:38,  1.26s/it]
Epoch 4, training loss 0.192:  31%|███▏      | 57/182 [01:10<02:35,  1.24s/it]
Epoch 4, training loss 0.189:  31%|███▏      | 57/182 [01:11<02:36,  1.25s/it]
Epoch 4, training loss 0.189:  32%|███▏      | 58/182 [01:12<02:34,  1.24s/it]
Epoch 4, training loss 0.187:  32%|███▏      | 58/182 [01:12<02:35,  1.25s/it]
Epoch 4, training loss 0.187:  32%|███▏      | 59/182 [01:13<02:32,  1.24s/it]
Epoch 4, training loss 0.185:  32%|███▏      | 59/182 [01:13<02:34,  1.25s/it]
Epoch 4, training loss 0.185:  33%|███▎      | 60/182 [01:14<02:31,  1.24s/it]
Epoch 4, training loss 0.184:  33%|███▎      | 60/182 [01:14<02:32,  1.25s/it]
Epoch 4, training loss 0.184:  34%|███▎      | 61/182 [01:15<02:29,  1.24s/it]
Epoch 4, training loss 0.183:  34%|███▎      | 61/182 [01:16<02:30,  1.25s/it]
Epoch 4, training loss 0.183:  34%|███▍      | 62/182 [01:16<02:28,  1.24s/it]
Epoch 4, training loss 0.182:  34%|███▍      | 62/182 [01:17<02:29,  1.25s/it]
Epoch 4, training loss 0.182:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 4, training loss 0.183:  35%|███▍      | 63/182 [01:18<02:28,  1.24s/it]
Epoch 4, training loss 0.183:  35%|███▌      | 64/182 [01:18<02:25,  1.23s/it]
Epoch 4, training loss 0.182:  35%|███▌      | 64/182 [01:19<02:26,  1.24s/it]
Epoch 4, training loss 0.182:  36%|███▌      | 65/182 [01:20<02:24,  1.23s/it]
Epoch 4, training loss 0.180:  36%|███▌      | 65/182 [01:20<02:25,  1.24s/it]
Epoch 4, training loss 0.180:  36%|███▋      | 66/182 [01:21<02:22,  1.23s/it]
Epoch 4, training loss 0.180:  36%|███▋      | 66/182 [01:21<02:23,  1.24s/it]
Epoch 4, training loss 0.180:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 4, training loss 0.179:  37%|███▋      | 67/182 [01:23<02:22,  1.24s/it]
Epoch 4, training loss 0.179:  37%|███▋      | 68/182 [01:23<02:20,  1.23s/it]
Epoch 4, training loss 0.178:  37%|███▋      | 68/182 [01:24<02:21,  1.24s/it]
Epoch 4, training loss 0.178:  38%|███▊      | 69/182 [01:24<02:18,  1.23s/it]
Epoch 4, training loss 0.177:  38%|███▊      | 69/182 [01:25<02:19,  1.24s/it]
Epoch 4, training loss 0.177:  38%|███▊      | 70/182 [01:25<02:17,  1.23s/it]
Epoch 4, training loss 0.178:  38%|███▊      | 70/182 [01:26<02:18,  1.24s/it]
Epoch 4, training loss 0.178:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 4, training loss 0.177:  39%|███▉      | 71/182 [01:27<02:17,  1.23s/it]
Epoch 4, training loss 0.177:  40%|███▉      | 72/182 [01:28<02:14,  1.22s/it]
Epoch 4, training loss 0.175:  40%|███▉      | 72/182 [01:28<02:15,  1.23s/it]
Epoch 4, training loss 0.175:  40%|████      | 73/182 [01:29<02:13,  1.22s/it]
Epoch 4, training loss 0.174:  40%|████      | 73/182 [01:29<02:14,  1.23s/it]
Epoch 4, training loss 0.174:  41%|████      | 74/182 [01:30<02:11,  1.22s/it]
Epoch 4, training loss 0.174:  41%|████      | 74/182 [01:31<02:12,  1.23s/it]
Epoch 4, training loss 0.174:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 4, training loss 0.173:  41%|████      | 75/182 [01:32<02:11,  1.23s/it]
Epoch 4, training loss 0.173:  42%|████▏     | 76/182 [01:32<02:09,  1.22s/it]
Epoch 4, training loss 0.172:  42%|████▏     | 76/182 [01:33<02:10,  1.23s/it]
Epoch 4, training loss 0.172:  42%|████▏     | 77/182 [01:33<02:07,  1.22s/it]
Epoch 4, training loss 0.170:  42%|████▏     | 77/182 [01:34<02:08,  1.23s/it]
Epoch 4, training loss 0.170:  43%|████▎     | 78/182 [01:34<02:06,  1.22s/it]
Epoch 4, training loss 0.169:  43%|████▎     | 78/182 [01:35<02:07,  1.23s/it]
Epoch 4, training loss 0.169:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
Epoch 4, training loss 0.168:  43%|████▎     | 79/182 [01:36<02:06,  1.23s/it]
Epoch 4, training loss 0.168:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 4, training loss 0.168:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 4, training loss 0.168:  45%|████▍     | 81/182 [01:38<02:02,  1.22s/it]
Epoch 4, training loss 0.166:  45%|████▍     | 81/182 [01:39<02:03,  1.22s/it]
Epoch 4, training loss 0.166:  45%|████▌     | 82/182 [01:39<02:01,  1.22s/it]
Epoch 4, training loss 0.165:  45%|████▌     | 82/182 [01:40<02:02,  1.22s/it]
Epoch 4, training loss 0.165:  46%|████▌     | 83/182 [01:40<02:00,  1.22s/it]
Epoch 4, training loss 0.171:  46%|████▌     | 83/182 [01:41<02:01,  1.22s/it]
Epoch 4, training loss 0.171:  46%|████▌     | 84/182 [01:42<01:59,  1.21s/it]
Epoch 4, training loss 0.170:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 4, training loss 0.170:  47%|████▋     | 85/182 [01:43<01:57,  1.21s/it]
Epoch 4, training loss 0.171:  47%|████▋     | 85/182 [01:43<01:58,  1.22s/it]
Epoch 4, training loss 0.171:  47%|████▋     | 86/182 [01:44<01:56,  1.21s/it]
Epoch 4, training loss 0.169:  47%|████▋     | 86/182 [01:44<01:57,  1.22s/it]
Epoch 4, training loss 0.169:  48%|████▊     | 87/182 [01:45<01:55,  1.21s/it]
Epoch 4, training loss 0.168:  48%|████▊     | 87/182 [01:46<01:55,  1.22s/it]
Epoch 4, training loss 0.168:  48%|████▊     | 88/182 [01:46<01:53,  1.21s/it]
Epoch 4, training loss 0.167:  48%|████▊     | 88/182 [01:47<01:54,  1.22s/it]
Epoch 4, training loss 0.167:  49%|████▉     | 89/182 [01:47<01:52,  1.21s/it]
Epoch 4, training loss 0.168:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 4, training loss 0.168:  49%|████▉     | 90/182 [01:48<01:51,  1.21s/it]
Epoch 4, training loss 0.167:  49%|████▉     | 90/182 [01:49<01:52,  1.22s/it]
Epoch 4, training loss 0.167:  50%|█████     | 91/182 [01:50<01:50,  1.21s/it]
Epoch 4, training loss 0.167:  50%|█████     | 91/182 [01:50<01:50,  1.22s/it]
Epoch 4, training loss 0.167:  51%|█████     | 92/182 [01:51<01:48,  1.21s/it]
Epoch 4, training loss 0.166:  51%|█████     | 92/182 [01:51<01:49,  1.22s/it]
Epoch 4, training loss 0.166:  51%|█████     | 93/182 [01:52<01:47,  1.21s/it]
Epoch 4, training loss 0.165:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 4, training loss 0.165:  52%|█████▏    | 94/182 [01:53<01:46,  1.21s/it]
Epoch 4, training loss 0.164:  52%|█████▏    | 94/182 [01:54<01:46,  1.21s/it]
Epoch 4, training loss 0.164:  52%|█████▏    | 95/182 [01:54<01:44,  1.21s/it]
Epoch 4, training loss 0.166:  52%|█████▏    | 95/182 [01:55<01:45,  1.21s/it]
Epoch 4, training loss 0.166:  53%|█████▎    | 96/182 [01:55<01:43,  1.21s/it]
Epoch 4, training loss 0.167:  53%|█████▎    | 96/182 [01:56<01:44,  1.21s/it]
Epoch 4, training loss 0.167:  53%|█████▎    | 97/182 [01:56<01:42,  1.21s/it]
Epoch 4, training loss 0.167:  53%|█████▎    | 97/182 [01:57<01:43,  1.21s/it]
Epoch 4, training loss 0.167:  54%|█████▍    | 98/182 [01:58<01:41,  1.20s/it]
Epoch 4, training loss 0.165:  54%|█████▍    | 98/182 [01:58<01:41,  1.21s/it]
Epoch 4, training loss 0.165:  54%|█████▍    | 99/182 [01:59<01:40,  1.20s/it]
Epoch 4, training loss 0.164:  54%|█████▍    | 99/182 [01:59<01:40,  1.21s/it]
Epoch 4, training loss 0.164:  55%|█████▍    | 100/182 [02:00<01:38,  1.20s/it]
Epoch 4, training loss 0.164:  55%|█████▍    | 100/182 [02:00<01:39,  1.21s/it]
Epoch 4, training loss 0.164:  55%|█████▌    | 101/182 [02:01<01:37,  1.20s/it]
Epoch 4, training loss 0.164:  55%|█████▌    | 101/182 [02:02<01:38,  1.21s/it]
Epoch 4, training loss 0.164:  56%|█████▌    | 102/182 [02:02<01:36,  1.20s/it]
Epoch 4, training loss 0.165:  56%|█████▌    | 102/182 [02:03<01:36,  1.21s/it]
Epoch 4, training loss 0.165:  57%|█████▋    | 103/182 [02:03<01:34,  1.20s/it]
Epoch 4, training loss 0.165:  57%|█████▋    | 103/182 [02:04<01:35,  1.21s/it]
Epoch 4, training loss 0.165:  57%|█████▋    | 104/182 [02:04<01:33,  1.20s/it]
Epoch 4, training loss 0.164:  57%|█████▋    | 104/182 [02:05<01:34,  1.21s/it]
Epoch 4, training loss 0.164:  58%|█████▊    | 105/182 [02:06<01:32,  1.20s/it]
Epoch 4, training loss 0.165:  58%|█████▊    | 105/182 [02:06<01:32,  1.21s/it]
Epoch 4, training loss 0.165:  58%|█████▊    | 106/182 [02:07<01:31,  1.20s/it]
Epoch 4, training loss 0.164:  58%|█████▊    | 106/182 [02:07<01:31,  1.21s/it]
Epoch 4, training loss 0.164:  59%|█████▉    | 107/182 [02:08<01:29,  1.20s/it]
Epoch 4, training loss 0.163:  59%|█████▉    | 107/182 [02:08<01:30,  1.20s/it]
Epoch 4, training loss 0.163:  59%|█████▉    | 108/182 [02:09<01:28,  1.20s/it]
Epoch 4, training loss 0.164:  59%|█████▉    | 108/182 [02:10<01:29,  1.20s/it]
Epoch 4, training loss 0.164:  60%|█████▉    | 109/182 [02:10<01:27,  1.20s/it]
Epoch 4, training loss 0.164:  60%|█████▉    | 109/182 [02:11<01:27,  1.20s/it]
Epoch 4, training loss 0.164:  60%|██████    | 110/182 [02:11<01:26,  1.20s/it]
Epoch 4, training loss 0.163:  60%|██████    | 110/182 [02:12<01:26,  1.20s/it]
Epoch 4, training loss 0.163:  61%|██████    | 111/182 [02:12<01:24,  1.20s/it]
Epoch 4, training loss 0.162:  61%|██████    | 111/182 [02:13<01:25,  1.20s/it]
Epoch 4, training loss 0.162:  62%|██████▏   | 112/182 [02:14<01:23,  1.20s/it]
Epoch 4, training loss 0.162:  62%|██████▏   | 112/182 [02:14<01:24,  1.20s/it]
Epoch 4, training loss 0.162:  62%|██████▏   | 113/182 [02:15<01:22,  1.20s/it]
Epoch 4, training loss 0.162:  62%|██████▏   | 113/182 [02:15<01:22,  1.20s/it]
Epoch 4, training loss 0.162:  63%|██████▎   | 114/182 [02:16<01:21,  1.20s/it]
Epoch 4, training loss 0.161:  63%|██████▎   | 114/182 [02:17<01:21,  1.20s/it]
Epoch 4, training loss 0.161:  63%|██████▎   | 115/182 [02:17<01:20,  1.20s/it]
Epoch 4, training loss 0.162:  63%|██████▎   | 115/182 [02:18<01:20,  1.20s/it]
Epoch 4, training loss 0.162:  64%|██████▎   | 116/182 [02:18<01:18,  1.20s/it]
Epoch 4, training loss 0.161:  64%|██████▎   | 116/182 [02:19<01:19,  1.20s/it]
Epoch 4, training loss 0.161:  64%|██████▍   | 117/182 [02:19<01:17,  1.20s/it]
Epoch 4, training loss 0.161:  64%|██████▍   | 117/182 [02:20<01:18,  1.20s/it]
Epoch 4, training loss 0.161:  65%|██████▍   | 118/182 [02:21<01:16,  1.20s/it]
Epoch 4, training loss 0.160:  65%|██████▍   | 118/182 [02:21<01:16,  1.20s/it]
Epoch 4, training loss 0.160:  65%|██████▌   | 119/182 [02:22<01:15,  1.20s/it]
Epoch 4, training loss 0.160:  65%|██████▌   | 119/182 [02:23<01:15,  1.20s/it]
Epoch 4, training loss 0.160:  66%|██████▌   | 120/182 [02:23<01:14,  1.20s/it]
Epoch 4, training loss 0.159:  66%|██████▌   | 120/182 [02:24<01:14,  1.20s/it]
Epoch 4, training loss 0.159:  66%|██████▋   | 121/182 [02:24<01:12,  1.20s/it]
Epoch 4, training loss 0.159:  66%|██████▋   | 121/182 [02:25<01:13,  1.20s/it]
Epoch 4, training loss 0.159:  67%|██████▋   | 122/182 [02:25<01:11,  1.20s/it]
Epoch 4, training loss 0.158:  67%|██████▋   | 122/182 [02:26<01:12,  1.20s/it]
Epoch 4, training loss 0.158:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 4, training loss 0.157:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 4, training loss 0.157:  68%|██████▊   | 124/182 [02:28<01:09,  1.20s/it]
Epoch 4, training loss 0.158:  68%|██████▊   | 124/182 [02:28<01:09,  1.20s/it]
Epoch 4, training loss 0.158:  69%|██████▊   | 125/182 [02:29<01:08,  1.20s/it]
Epoch 4, training loss 0.157:  69%|██████▊   | 125/182 [02:30<01:08,  1.20s/it]
Epoch 4, training loss 0.157:  69%|██████▉   | 126/182 [02:30<01:06,  1.20s/it]
Epoch 4, training loss 0.159:  69%|██████▉   | 126/182 [02:31<01:07,  1.20s/it]
Epoch 4, training loss 0.159:  70%|██████▉   | 127/182 [02:31<01:05,  1.20s/it]
Epoch 4, training loss 0.158:  70%|██████▉   | 127/182 [02:32<01:06,  1.20s/it]
Epoch 4, training loss 0.158:  70%|███████   | 128/182 [02:32<01:04,  1.19s/it]
Epoch 4, training loss 0.160:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 4, training loss 0.160:  71%|███████   | 129/182 [02:34<01:03,  1.19s/it]
Epoch 4, training loss 0.164:  71%|███████   | 129/182 [02:34<01:03,  1.20s/it]
Epoch 4, training loss 0.164:  71%|███████▏  | 130/182 [02:35<01:02,  1.19s/it]
Epoch 4, training loss 0.163:  71%|███████▏  | 130/182 [02:35<01:02,  1.20s/it]
Epoch 4, training loss 0.163:  72%|███████▏  | 131/182 [02:36<01:00,  1.19s/it]
Epoch 4, training loss 0.163:  72%|███████▏  | 131/182 [02:36<01:01,  1.20s/it]
Epoch 4, training loss 0.163:  73%|███████▎  | 132/182 [02:37<00:59,  1.19s/it]
Epoch 4, training loss 0.162:  73%|███████▎  | 132/182 [02:37<00:59,  1.20s/it]
Epoch 4, training loss 0.162:  73%|███████▎  | 133/182 [02:38<00:58,  1.19s/it]
Epoch 4, training loss 0.164:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 4, training loss 0.164:  74%|███████▎  | 134/182 [02:39<00:57,  1.19s/it]
Epoch 4, training loss 0.163:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
Epoch 4, training loss 0.163:  74%|███████▍  | 135/182 [02:40<00:55,  1.19s/it]
Epoch 4, training loss 0.164:  74%|███████▍  | 135/182 [02:41<00:56,  1.20s/it]
Epoch 4, training loss 0.164:  75%|███████▍  | 136/182 [02:41<00:54,  1.19s/it]
Epoch 4, training loss 0.165:  75%|███████▍  | 136/182 [02:42<00:54,  1.19s/it]
Epoch 4, training loss 0.165:  75%|███████▌  | 137/182 [02:42<00:53,  1.19s/it]
Epoch 4, training loss 0.166:  75%|███████▌  | 137/182 [02:43<00:53,  1.19s/it]
Epoch 4, training loss 0.166:  76%|███████▌  | 138/182 [02:44<00:52,  1.19s/it]
Epoch 4, training loss 0.166:  76%|███████▌  | 138/182 [02:44<00:52,  1.19s/it]
Epoch 4, training loss 0.166:  76%|███████▋  | 139/182 [02:45<00:51,  1.19s/it]
Epoch 4, training loss 0.165:  76%|███████▋  | 139/182 [02:45<00:51,  1.19s/it]
Epoch 4, training loss 0.165:  77%|███████▋  | 140/182 [02:46<00:49,  1.19s/it]
Epoch 4, training loss 0.164:  77%|███████▋  | 140/182 [02:46<00:50,  1.19s/it]
Epoch 4, training loss 0.164:  77%|███████▋  | 141/182 [02:47<00:48,  1.19s/it]
Epoch 4, training loss 0.164:  77%|███████▋  | 141/182 [02:48<00:48,  1.19s/it]
Epoch 4, training loss 0.164:  78%|███████▊  | 142/182 [02:48<00:47,  1.19s/it]
Epoch 4, training loss 0.163:  78%|███████▊  | 142/182 [02:49<00:47,  1.19s/it]
Epoch 4, training loss 0.163:  79%|███████▊  | 143/182 [02:49<00:46,  1.19s/it]
Epoch 4, training loss 0.162:  79%|███████▊  | 143/182 [02:50<00:46,  1.19s/it]
Epoch 4, training loss 0.162:  79%|███████▉  | 144/182 [02:50<00:45,  1.19s/it]
Epoch 4, training loss 0.162:  79%|███████▉  | 144/182 [02:51<00:45,  1.19s/it]
Epoch 4, training loss 0.162:  80%|███████▉  | 145/182 [02:51<00:43,  1.19s/it]
Epoch 4, training loss 0.164:  80%|███████▉  | 145/182 [02:52<00:44,  1.19s/it]
Epoch 4, training loss 0.164:  80%|████████  | 146/182 [02:53<00:42,  1.19s/it]
Epoch 4, training loss 0.163:  80%|████████  | 146/182 [02:53<00:42,  1.19s/it]
Epoch 4, training loss 0.163:  81%|████████  | 147/182 [02:54<00:41,  1.19s/it]
Epoch 4, training loss 0.164:  81%|████████  | 147/182 [02:54<00:41,  1.19s/it]
Epoch 4, training loss 0.164:  81%|████████▏ | 148/182 [02:55<00:40,  1.18s/it]
Epoch 4, training loss 0.165:  81%|████████▏ | 148/182 [02:56<00:40,  1.19s/it]
Epoch 4, training loss 0.165:  82%|████████▏ | 149/182 [02:56<00:39,  1.18s/it]
Epoch 4, training loss 0.165:  82%|████████▏ | 149/182 [02:57<00:39,  1.19s/it]
Epoch 4, training loss 0.165:  82%|████████▏ | 150/182 [02:57<00:37,  1.18s/it]
Epoch 4, training loss 0.164:  82%|████████▏ | 150/182 [02:58<00:38,  1.19s/it]
Epoch 4, training loss 0.164:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 4, training loss 0.166:  83%|████████▎ | 151/182 [02:59<00:36,  1.19s/it]
Epoch 4, training loss 0.166:  84%|████████▎ | 152/182 [03:00<00:35,  1.18s/it]
Epoch 4, training loss 0.167:  84%|████████▎ | 152/182 [03:00<00:35,  1.19s/it]
Epoch 4, training loss 0.167:  84%|████████▍ | 153/182 [03:01<00:34,  1.18s/it]
Epoch 4, training loss 0.166:  84%|████████▍ | 153/182 [03:01<00:34,  1.19s/it]
Epoch 4, training loss 0.166:  85%|████████▍ | 154/182 [03:02<00:33,  1.18s/it]
Epoch 4, training loss 0.166:  85%|████████▍ | 154/182 [03:02<00:33,  1.19s/it]
Epoch 4, training loss 0.166:  85%|████████▌ | 155/182 [03:03<00:31,  1.18s/it]
Epoch 4, training loss 0.168:  85%|████████▌ | 155/182 [03:04<00:32,  1.19s/it]
Epoch 4, training loss 0.168:  86%|████████▌ | 156/182 [03:04<00:30,  1.18s/it]
Epoch 4, training loss 0.167:  86%|████████▌ | 156/182 [03:05<00:30,  1.19s/it]
Epoch 4, training loss 0.167:  86%|████████▋ | 157/182 [03:05<00:29,  1.18s/it]
Epoch 4, training loss 0.168:  86%|████████▋ | 157/182 [03:06<00:29,  1.19s/it]
Epoch 4, training loss 0.168:  87%|████████▋ | 158/182 [03:06<00:28,  1.18s/it]
Epoch 4, training loss 0.167:  87%|████████▋ | 158/182 [03:07<00:28,  1.19s/it]
Epoch 4, training loss 0.167:  87%|████████▋ | 159/182 [03:08<00:27,  1.18s/it]
Epoch 4, training loss 0.168:  87%|████████▋ | 159/182 [03:08<00:27,  1.19s/it]
Epoch 4, training loss 0.168:  88%|████████▊ | 160/182 [03:09<00:26,  1.18s/it]
Epoch 4, training loss 0.168:  88%|████████▊ | 160/182 [03:09<00:26,  1.19s/it]
Epoch 4, training loss 0.168:  88%|████████▊ | 161/182 [03:10<00:24,  1.18s/it]
Epoch 4, training loss 0.168:  88%|████████▊ | 161/182 [03:11<00:24,  1.19s/it]
Epoch 4, training loss 0.168:  89%|████████▉ | 162/182 [03:11<00:23,  1.18s/it]
Epoch 4, training loss 0.167:  89%|████████▉ | 162/182 [03:12<00:23,  1.19s/it]
Epoch 4, training loss 0.167:  90%|████████▉ | 163/182 [03:12<00:22,  1.18s/it]
Epoch 4, training loss 0.167:  90%|████████▉ | 163/182 [03:13<00:22,  1.19s/it]
Epoch 4, training loss 0.167:  90%|█████████ | 164/182 [03:14<00:21,  1.18s/it]
Epoch 4, training loss 0.166:  90%|█████████ | 164/182 [03:14<00:21,  1.19s/it]
Epoch 4, training loss 0.166:  91%|█████████ | 165/182 [03:15<00:20,  1.18s/it]
Epoch 4, training loss 0.166:  91%|█████████ | 165/182 [03:15<00:20,  1.19s/it]
Epoch 4, training loss 0.166:  91%|█████████ | 166/182 [03:16<00:18,  1.18s/it]
Epoch 4, training loss 0.166:  91%|█████████ | 166/182 [03:17<00:18,  1.19s/it]
Epoch 4, training loss 0.166:  92%|█████████▏| 167/182 [03:17<00:17,  1.18s/it]
Epoch 4, training loss 0.166:  92%|█████████▏| 167/182 [03:18<00:17,  1.19s/it]
Epoch 4, training loss 0.166:  92%|█████████▏| 168/182 [03:18<00:16,  1.18s/it]
Epoch 4, training loss 0.165:  92%|█████████▏| 168/182 [03:19<00:16,  1.19s/it]
Epoch 4, training loss 0.165:  93%|█████████▎| 169/182 [03:19<00:15,  1.18s/it]
Epoch 4, training loss 0.166:  93%|█████████▎| 169/182 [03:20<00:15,  1.19s/it]
Epoch 4, training loss 0.166:  93%|█████████▎| 170/182 [03:20<00:14,  1.18s/it]
Epoch 4, training loss 0.167:  93%|█████████▎| 170/182 [03:21<00:14,  1.19s/it]
Epoch 4, training loss 0.167:  94%|█████████▍| 171/182 [03:22<00:13,  1.18s/it]
Epoch 4, training loss 0.167:  94%|█████████▍| 171/182 [03:22<00:13,  1.19s/it]
Epoch 4, training loss 0.167:  95%|█████████▍| 172/182 [03:23<00:11,  1.18s/it]
Epoch 4, training loss 0.169:  95%|█████████▍| 172/182 [03:23<00:11,  1.19s/it]
Epoch 4, training loss 0.169:  95%|█████████▌| 173/182 [03:24<00:10,  1.18s/it]
Epoch 4, training loss 0.168:  95%|█████████▌| 173/182 [03:25<00:10,  1.19s/it]
Epoch 4, training loss 0.168:  96%|█████████▌| 174/182 [03:25<00:09,  1.18s/it]
Epoch 4, training loss 0.168:  96%|█████████▌| 174/182 [03:26<00:09,  1.19s/it]
Epoch 4, training loss 0.168:  96%|█████████▌| 175/182 [03:26<00:08,  1.18s/it]
Epoch 4, training loss 0.170:  96%|█████████▌| 175/182 [03:27<00:08,  1.19s/it]
Epoch 4, training loss 0.170:  97%|█████████▋| 176/182 [03:27<00:07,  1.18s/it]
Epoch 4, training loss 0.169:  97%|█████████▋| 176/182 [03:28<00:07,  1.19s/it]
Epoch 4, training loss 0.169:  97%|█████████▋| 177/182 [03:29<00:05,  1.18s/it]
Epoch 4, training loss 0.169:  97%|█████████▋| 177/182 [03:29<00:05,  1.19s/it]
Epoch 4, training loss 0.169:  98%|█████████▊| 178/182 [03:30<00:04,  1.18s/it]
Epoch 4, training loss 0.170:  98%|█████████▊| 178/182 [03:30<00:04,  1.18s/it]
Epoch 4, training loss 0.170:  98%|█████████▊| 179/182 [03:31<00:03,  1.18s/it]
Epoch 4, training loss 0.169:  98%|█████████▊| 179/182 [03:32<00:03,  1.18s/it]
Epoch 4, training loss 0.169:  99%|█████████▉| 180/182 [03:32<00:02,  1.18s/it]
Epoch 4, training loss 0.169:  99%|█████████▉| 180/182 [03:33<00:02,  1.18s/it]
Epoch 4, training loss 0.169:  99%|█████████▉| 181/182 [03:33<00:01,  1.18s/it]
Epoch 4, training loss 0.170:  99%|█████████▉| 181/182 [03:34<00:01,  1.18s/it]
Epoch 4, training loss 0.170: 100%|██████████| 182/182 [03:34<00:00,  1.18s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.574:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.574:   1%|          | 1/90 [00:04<06:24,  4.32s/it]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.702:   1%|          | 1/90 [00:04<07:00,  4.72s/it]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.702:   2%|▏         | 2/90 [00:04<03:27,  2.36s/it]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.766:   2%|▏         | 2/90 [00:05<03:47,  2.58s/it]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.766:   3%|▎         | 3/90 [00:05<02:29,  1.72s/it]
Epoch 4, validation pixAcc: 0.972, mIoU: 0.814:   3%|▎         | 3/90 [00:05<02:42,  1.87s/it]
Epoch 4, validation pixAcc: 0.972, mIoU: 0.814:   4%|▍         | 4/90 [00:05<02:00,  1.40s/it]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.879:   4%|▍         | 4/90 [00:06<02:10,  1.51s/it]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.879:   6%|▌         | 5/90 [00:06<01:42,  1.21s/it]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.882:   6%|▌         | 5/90 [00:06<01:50,  1.30s/it]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.882:   7%|▋         | 6/90 [00:06<01:31,  1.08s/it]
Epoch 4, validation pixAcc: 0.968, mIoU: 0.871:   7%|▋         | 6/90 [00:06<01:37,  1.16s/it]
Epoch 4, validation pixAcc: 0.968, mIoU: 0.871:   8%|▊         | 7/90 [00:06<01:22,  1.01it/s]
Epoch 4, validation pixAcc: 0.969, mIoU: 0.867:   8%|▊         | 7/90 [00:07<01:27,  1.06s/it]
Epoch 4, validation pixAcc: 0.969, mIoU: 0.867:   9%|▉         | 8/90 [00:07<01:15,  1.08it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.870:   9%|▉         | 8/90 [00:07<01:20,  1.02it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.870:  10%|█         | 9/90 [00:07<01:10,  1.14it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.878:  10%|█         | 9/90 [00:08<01:14,  1.08it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.878:  11%|█         | 10/90 [00:08<01:06,  1.20it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.877:  11%|█         | 10/90 [00:08<01:10,  1.14it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.877:  12%|█▏        | 11/90 [00:08<01:02,  1.26it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.871:  12%|█▏        | 11/90 [00:09<01:06,  1.20it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.871:  13%|█▎        | 12/90 [00:09<00:59,  1.30it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.874:  13%|█▎        | 12/90 [00:09<01:02,  1.24it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.874:  14%|█▍        | 13/90 [00:09<00:57,  1.35it/s]
Epoch 4, validation pixAcc: 0.972, mIoU: 0.878:  14%|█▍        | 13/90 [00:10<00:59,  1.30it/s]
Epoch 4, validation pixAcc: 0.972, mIoU: 0.878:  16%|█▌        | 14/90 [00:10<00:54,  1.40it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.877:  16%|█▌        | 14/90 [00:10<00:56,  1.34it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.877:  17%|█▋        | 15/90 [00:10<00:52,  1.44it/s]
Epoch 4, validation pixAcc: 0.972, mIoU: 0.885:  17%|█▋        | 15/90 [00:10<00:54,  1.38it/s]
Epoch 4, validation pixAcc: 0.972, mIoU: 0.885:  18%|█▊        | 16/90 [00:10<00:50,  1.48it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.884:  18%|█▊        | 16/90 [00:11<00:52,  1.42it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.884:  19%|█▉        | 17/90 [00:11<00:48,  1.51it/s]
Epoch 4, validation pixAcc: 0.970, mIoU: 0.881:  19%|█▉        | 17/90 [00:11<00:50,  1.46it/s]
Epoch 4, validation pixAcc: 0.970, mIoU: 0.881:  20%|██        | 18/90 [00:11<00:46,  1.54it/s]
Epoch 4, validation pixAcc: 0.969, mIoU: 0.874:  20%|██        | 18/90 [00:12<00:48,  1.49it/s]
Epoch 4, validation pixAcc: 0.969, mIoU: 0.874:  21%|██        | 19/90 [00:12<00:45,  1.57it/s]
Epoch 4, validation pixAcc: 0.969, mIoU: 0.872:  21%|██        | 19/90 [00:12<00:47,  1.51it/s]
Epoch 4, validation pixAcc: 0.969, mIoU: 0.872:  22%|██▏       | 20/90 [00:12<00:44,  1.59it/s]
Epoch 4, validation pixAcc: 0.969, mIoU: 0.875:  22%|██▏       | 20/90 [00:13<00:45,  1.53it/s]
Epoch 4, validation pixAcc: 0.969, mIoU: 0.875:  23%|██▎       | 21/90 [00:13<00:42,  1.61it/s]
Epoch 4, validation pixAcc: 0.970, mIoU: 0.876:  23%|██▎       | 21/90 [00:13<00:44,  1.56it/s]
Epoch 4, validation pixAcc: 0.970, mIoU: 0.876:  24%|██▍       | 22/90 [00:13<00:41,  1.63it/s]
Epoch 4, validation pixAcc: 0.969, mIoU: 0.875:  24%|██▍       | 22/90 [00:13<00:42,  1.58it/s]
Epoch 4, validation pixAcc: 0.969, mIoU: 0.875:  26%|██▌       | 23/90 [00:13<00:40,  1.66it/s]
Epoch 4, validation pixAcc: 0.970, mIoU: 0.875:  26%|██▌       | 23/90 [00:14<00:41,  1.61it/s]
Epoch 4, validation pixAcc: 0.970, mIoU: 0.875:  27%|██▋       | 24/90 [00:14<00:39,  1.68it/s]
Epoch 4, validation pixAcc: 0.970, mIoU: 0.877:  27%|██▋       | 24/90 [00:14<00:40,  1.63it/s]
Epoch 4, validation pixAcc: 0.970, mIoU: 0.877:  28%|██▊       | 25/90 [00:14<00:38,  1.70it/s]
Epoch 4, validation pixAcc: 0.970, mIoU: 0.877:  28%|██▊       | 25/90 [00:15<00:39,  1.65it/s]
Epoch 4, validation pixAcc: 0.970, mIoU: 0.877:  29%|██▉       | 26/90 [00:15<00:37,  1.72it/s]
Epoch 4, validation pixAcc: 0.970, mIoU: 0.881:  29%|██▉       | 26/90 [00:15<00:38,  1.67it/s]
Epoch 4, validation pixAcc: 0.970, mIoU: 0.881:  30%|███       | 27/90 [00:15<00:36,  1.73it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.882:  30%|███       | 27/90 [00:16<00:37,  1.68it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.882:  31%|███       | 28/90 [00:16<00:35,  1.75it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.882:  31%|███       | 28/90 [00:16<00:36,  1.70it/s]
Epoch 4, validation pixAcc: 0.971, mIoU: 0.882:  32%|███▏      | 29/90 [00:16<00:34,  1.76it/s]
Epoch 4, validation pixAcc: 0.972, mIoU: 0.884:  32%|███▏      | 29/90 [00:16<00:35,  1.72it/s]
Epoch 4, validation pixAcc: 0.972, mIoU: 0.884:  33%|███▎      | 30/90 [00:16<00:33,  1.78it/s]
Epoch 4, validation pixAcc: 0.972, mIoU: 0.886:  33%|███▎      | 30/90 [00:17<00:34,  1.74it/s]
Epoch 4, validation pixAcc: 0.972, mIoU: 0.886:  34%|███▍      | 31/90 [00:17<00:32,  1.80it/s]
Epoch 4, validation pixAcc: 0.972, mIoU: 0.887:  34%|███▍      | 31/90 [00:17<00:33,  1.75it/s]
Epoch 4, validation pixAcc: 0.972, mIoU: 0.887:  36%|███▌      | 32/90 [00:17<00:32,  1.81it/s]
Epoch 4, validation pixAcc: 0.973, mIoU: 0.888:  36%|███▌      | 32/90 [00:18<00:32,  1.77it/s]
Epoch 4, validation pixAcc: 0.973, mIoU: 0.888:  37%|███▋      | 33/90 [00:18<00:31,  1.82it/s]
Epoch 4, validation pixAcc: 0.973, mIoU: 0.890:  37%|███▋      | 33/90 [00:18<00:31,  1.78it/s]
Epoch 4, validation pixAcc: 0.973, mIoU: 0.890:  38%|███▊      | 34/90 [00:18<00:30,  1.84it/s]
Epoch 4, validation pixAcc: 0.973, mIoU: 0.890:  38%|███▊      | 34/90 [00:18<00:31,  1.79it/s]
Epoch 4, validation pixAcc: 0.973, mIoU: 0.890:  39%|███▉      | 35/90 [00:18<00:29,  1.85it/s]
Epoch 4, validation pixAcc: 0.973, mIoU: 0.890:  39%|███▉      | 35/90 [00:19<00:30,  1.80it/s]
Epoch 4, validation pixAcc: 0.973, mIoU: 0.890:  40%|████      | 36/90 [00:19<00:29,  1.85it/s]
Epoch 4, validation pixAcc: 0.973, mIoU: 0.890:  40%|████      | 36/90 [00:19<00:29,  1.81it/s]
Epoch 4, validation pixAcc: 0.973, mIoU: 0.890:  41%|████      | 37/90 [00:19<00:28,  1.86it/s]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.891:  41%|████      | 37/90 [00:20<00:29,  1.82it/s]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.891:  42%|████▏     | 38/90 [00:20<00:27,  1.87it/s]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.891:  42%|████▏     | 38/90 [00:20<00:28,  1.83it/s]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.891:  43%|████▎     | 39/90 [00:20<00:27,  1.88it/s]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.893:  43%|████▎     | 39/90 [00:21<00:27,  1.84it/s]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.893:  44%|████▍     | 40/90 [00:21<00:26,  1.88it/s]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.893:  44%|████▍     | 40/90 [00:21<00:27,  1.84it/s]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.893:  46%|████▌     | 41/90 [00:21<00:25,  1.89it/s]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.893:  46%|████▌     | 41/90 [00:22<00:26,  1.85it/s]
Epoch 4, validation pixAcc: 0.974, mIoU: 0.893:  47%|████▋     | 42/90 [00:22<00:25,  1.90it/s]
Epoch 4, validation pixAcc: 0.975, mIoU: 0.894:  47%|████▋     | 42/90 [00:22<00:25,  1.86it/s]
Epoch 4, validation pixAcc: 0.975, mIoU: 0.894:  48%|████▊     | 43/90 [00:22<00:24,  1.91it/s]
Epoch 4, validation pixAcc: 0.975, mIoU: 0.895:  48%|████▊     | 43/90 [00:23<00:25,  1.87it/s]
Epoch 4, validation pixAcc: 0.975, mIoU: 0.895:  49%|████▉     | 44/90 [00:23<00:24,  1.91it/s]
Epoch 4, validation pixAcc: 0.975, mIoU: 0.896:  49%|████▉     | 44/90 [00:23<00:24,  1.88it/s]
Epoch 4, validation pixAcc: 0.975, mIoU: 0.896:  50%|█████     | 45/90 [00:23<00:23,  1.92it/s]
Epoch 4, validation pixAcc: 0.975, mIoU: 0.896:  50%|█████     | 45/90 [00:23<00:23,  1.88it/s]
Epoch 4, validation pixAcc: 0.975, mIoU: 0.896:  51%|█████     | 46/90 [00:23<00:22,  1.92it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.897:  51%|█████     | 46/90 [00:24<00:23,  1.89it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.897:  52%|█████▏    | 47/90 [00:24<00:22,  1.93it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.896:  52%|█████▏    | 47/90 [00:24<00:22,  1.90it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.896:  53%|█████▎    | 48/90 [00:24<00:21,  1.94it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.896:  53%|█████▎    | 48/90 [00:25<00:22,  1.90it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.896:  54%|█████▍    | 49/90 [00:25<00:21,  1.94it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.896:  54%|█████▍    | 49/90 [00:25<00:21,  1.91it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.896:  56%|█████▌    | 50/90 [00:25<00:20,  1.95it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.897:  56%|█████▌    | 50/90 [00:26<00:20,  1.92it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.897:  57%|█████▋    | 51/90 [00:26<00:19,  1.96it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.897:  57%|█████▋    | 51/90 [00:26<00:20,  1.93it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.897:  58%|█████▊    | 52/90 [00:26<00:19,  1.97it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.896:  58%|█████▊    | 52/90 [00:26<00:19,  1.94it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.896:  59%|█████▉    | 53/90 [00:26<00:18,  1.97it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.897:  59%|█████▉    | 53/90 [00:27<00:19,  1.95it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.897:  60%|██████    | 54/90 [00:27<00:18,  1.98it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.898:  60%|██████    | 54/90 [00:27<00:18,  1.95it/s]
Epoch 4, validation pixAcc: 0.976, mIoU: 0.898:  61%|██████    | 55/90 [00:27<00:17,  1.99it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.898:  61%|██████    | 55/90 [00:28<00:17,  1.96it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.898:  62%|██████▏   | 56/90 [00:28<00:17,  1.99it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.898:  62%|██████▏   | 56/90 [00:28<00:17,  1.96it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.898:  63%|██████▎   | 57/90 [00:28<00:16,  2.00it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.898:  63%|██████▎   | 57/90 [00:28<00:16,  1.97it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.898:  64%|██████▍   | 58/90 [00:28<00:15,  2.00it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.898:  64%|██████▍   | 58/90 [00:29<00:16,  1.97it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.898:  66%|██████▌   | 59/90 [00:29<00:15,  2.01it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.898:  66%|██████▌   | 59/90 [00:29<00:15,  1.98it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.898:  67%|██████▋   | 60/90 [00:29<00:14,  2.01it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.899:  67%|██████▋   | 60/90 [00:30<00:15,  1.99it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.899:  68%|██████▊   | 61/90 [00:30<00:14,  2.02it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.899:  68%|██████▊   | 61/90 [00:30<00:14,  1.99it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.899:  69%|██████▉   | 62/90 [00:30<00:13,  2.02it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.900:  69%|██████▉   | 62/90 [00:31<00:14,  2.00it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.900:  70%|███████   | 63/90 [00:31<00:13,  2.03it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  70%|███████   | 63/90 [00:31<00:13,  2.00it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  71%|███████   | 64/90 [00:31<00:12,  2.03it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.901:  71%|███████   | 64/90 [00:31<00:12,  2.01it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.901:  72%|███████▏  | 65/90 [00:31<00:12,  2.04it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.902:  72%|███████▏  | 65/90 [00:32<00:12,  2.01it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.902:  73%|███████▎  | 66/90 [00:32<00:11,  2.04it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  73%|███████▎  | 66/90 [00:32<00:11,  2.01it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  74%|███████▍  | 67/90 [00:32<00:11,  2.05it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  74%|███████▍  | 67/90 [00:33<00:11,  2.02it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  76%|███████▌  | 68/90 [00:33<00:10,  2.05it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.902:  76%|███████▌  | 68/90 [00:33<00:10,  2.02it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.902:  77%|███████▋  | 69/90 [00:33<00:10,  2.05it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.902:  77%|███████▋  | 69/90 [00:33<00:10,  2.03it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.902:  78%|███████▊  | 70/90 [00:33<00:09,  2.06it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.902:  78%|███████▊  | 70/90 [00:34<00:09,  2.04it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.902:  79%|███████▉  | 71/90 [00:34<00:09,  2.07it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.902:  79%|███████▉  | 71/90 [00:34<00:09,  2.04it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.902:  80%|████████  | 72/90 [00:34<00:08,  2.07it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.902:  80%|████████  | 72/90 [00:35<00:08,  2.04it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.902:  81%|████████  | 73/90 [00:35<00:08,  2.07it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.902:  81%|████████  | 73/90 [00:35<00:08,  2.05it/s]
Epoch 4, validation pixAcc: 0.978, mIoU: 0.902:  82%|████████▏ | 74/90 [00:35<00:07,  2.07it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  82%|████████▏ | 74/90 [00:36<00:07,  2.05it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  83%|████████▎ | 75/90 [00:36<00:07,  2.08it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  83%|████████▎ | 75/90 [00:36<00:07,  2.05it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  84%|████████▍ | 76/90 [00:36<00:06,  2.08it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  84%|████████▍ | 76/90 [00:36<00:06,  2.06it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  86%|████████▌ | 77/90 [00:36<00:06,  2.09it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  86%|████████▌ | 77/90 [00:37<00:06,  2.06it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  87%|████████▋ | 78/90 [00:37<00:05,  2.09it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  87%|████████▋ | 78/90 [00:37<00:05,  2.06it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  88%|████████▊ | 79/90 [00:37<00:05,  2.09it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.902:  88%|████████▊ | 79/90 [00:38<00:05,  2.07it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.902:  89%|████████▉ | 80/90 [00:38<00:04,  2.09it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.902:  89%|████████▉ | 80/90 [00:38<00:04,  2.07it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.902:  90%|█████████ | 81/90 [00:38<00:04,  2.10it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.903:  90%|█████████ | 81/90 [00:39<00:04,  2.07it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.903:  91%|█████████ | 82/90 [00:39<00:03,  2.10it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.903:  91%|█████████ | 82/90 [00:39<00:03,  2.08it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.903:  92%|█████████▏| 83/90 [00:39<00:03,  2.10it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.903:  92%|█████████▏| 83/90 [00:39<00:03,  2.08it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.903:  93%|█████████▎| 84/90 [00:39<00:02,  2.10it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.903:  93%|█████████▎| 84/90 [00:40<00:02,  2.08it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.903:  94%|█████████▍| 85/90 [00:40<00:02,  2.11it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.903:  94%|█████████▍| 85/90 [00:40<00:02,  2.09it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.903:  96%|█████████▌| 86/90 [00:40<00:01,  2.11it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.903:  96%|█████████▌| 86/90 [00:41<00:01,  2.09it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.903:  97%|█████████▋| 87/90 [00:41<00:01,  2.12it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.902:  97%|█████████▋| 87/90 [00:41<00:01,  2.10it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.902:  98%|█████████▊| 88/90 [00:41<00:00,  2.12it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  98%|█████████▊| 88/90 [00:41<00:00,  2.10it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  99%|█████████▉| 89/90 [00:41<00:00,  2.12it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901:  99%|█████████▉| 89/90 [00:42<00:00,  2.10it/s]
Epoch 4, validation pixAcc: 0.977, mIoU: 0.901: 100%|██████████| 90/90 [00:42<00:00,  2.12it/s]

  0%|          | 0/182 [00:00<?, ?it/s]
Epoch 5, training loss 0.108:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 5, training loss 0.108:   1%|          | 1/182 [00:05<16:29,  5.47s/it]
Epoch 5, training loss 0.143:   1%|          | 1/182 [00:06<18:39,  6.19s/it]
Epoch 5, training loss 0.143:   1%|          | 2/182 [00:06<10:02,  3.35s/it]
Epoch 5, training loss 0.132:   1%|          | 2/182 [00:07<11:08,  3.72s/it]
Epoch 5, training loss 0.132:   2%|▏         | 3/182 [00:07<07:53,  2.65s/it]
Epoch 5, training loss 0.147:   2%|▏         | 3/182 [00:08<08:35,  2.88s/it]
Epoch 5, training loss 0.147:   2%|▏         | 4/182 [00:09<06:47,  2.29s/it]
Epoch 5, training loss 0.138:   2%|▏         | 4/182 [00:09<07:16,  2.45s/it]
Epoch 5, training loss 0.138:   3%|▎         | 5/182 [00:10<06:04,  2.06s/it]
Epoch 5, training loss 0.130:   3%|▎         | 5/182 [00:10<06:29,  2.20s/it]
Epoch 5, training loss 0.130:   3%|▎         | 6/182 [00:11<05:37,  1.92s/it]
Epoch 5, training loss 0.128:   3%|▎         | 6/182 [00:12<05:55,  2.02s/it]
Epoch 5, training loss 0.128:   4%|▍         | 7/182 [00:12<05:15,  1.80s/it]
Epoch 5, training loss 0.116:   4%|▍         | 7/182 [00:13<05:30,  1.89s/it]
Epoch 5, training loss 0.116:   4%|▍         | 8/182 [00:13<04:58,  1.72s/it]
Epoch 5, training loss 0.127:   4%|▍         | 8/182 [00:14<05:12,  1.79s/it]
Epoch 5, training loss 0.127:   5%|▍         | 9/182 [00:14<04:45,  1.65s/it]
Epoch 5, training loss 0.117:   5%|▍         | 9/182 [00:15<04:57,  1.72s/it]
Epoch 5, training loss 0.117:   5%|▌         | 10/182 [00:16<04:35,  1.60s/it]
Epoch 5, training loss 0.108:   5%|▌         | 10/182 [00:16<04:46,  1.66s/it]
Epoch 5, training loss 0.108:   6%|▌         | 11/182 [00:17<04:26,  1.56s/it]
Epoch 5, training loss 0.105:   6%|▌         | 11/182 [00:17<04:38,  1.63s/it]
Epoch 5, training loss 0.105:   7%|▋         | 12/182 [00:18<04:20,  1.53s/it]
Epoch 5, training loss 0.102:   7%|▋         | 12/182 [00:19<04:30,  1.59s/it]
Epoch 5, training loss 0.102:   7%|▋         | 13/182 [00:19<04:15,  1.51s/it]
Epoch 5, training loss 0.101:   7%|▋         | 13/182 [00:20<04:24,  1.56s/it]
Epoch 5, training loss 0.101:   8%|▊         | 14/182 [00:20<04:09,  1.49s/it]
Epoch 5, training loss 0.098:   8%|▊         | 14/182 [00:21<04:17,  1.54s/it]
Epoch 5, training loss 0.098:   8%|▊         | 15/182 [00:21<04:04,  1.47s/it]
Epoch 5, training loss 0.098:   8%|▊         | 15/182 [00:22<04:11,  1.51s/it]
Epoch 5, training loss 0.098:   9%|▉         | 16/182 [00:23<03:59,  1.45s/it]
Epoch 5, training loss 0.096:   9%|▉         | 16/182 [00:23<04:06,  1.49s/it]
Epoch 5, training loss 0.096:   9%|▉         | 17/182 [00:24<03:55,  1.43s/it]
Epoch 5, training loss 0.104:   9%|▉         | 17/182 [00:25<04:02,  1.47s/it]
Epoch 5, training loss 0.104:  10%|▉         | 18/182 [00:25<03:52,  1.42s/it]
Epoch 5, training loss 0.101:  10%|▉         | 18/182 [00:26<03:58,  1.45s/it]
Epoch 5, training loss 0.101:  10%|█         | 19/182 [00:26<03:48,  1.40s/it]
Epoch 5, training loss 0.102:  10%|█         | 19/182 [00:27<03:53,  1.43s/it]
Epoch 5, training loss 0.102:  11%|█         | 20/182 [00:27<03:44,  1.39s/it]
Epoch 5, training loss 0.103:  11%|█         | 20/182 [00:28<03:49,  1.42s/it]
Epoch 5, training loss 0.103:  12%|█▏        | 21/182 [00:28<03:41,  1.37s/it]
Epoch 5, training loss 0.101:  12%|█▏        | 21/182 [00:29<03:47,  1.41s/it]
Epoch 5, training loss 0.101:  12%|█▏        | 22/182 [00:30<03:39,  1.37s/it]
Epoch 5, training loss 0.098:  12%|█▏        | 22/182 [00:30<03:43,  1.40s/it]
Epoch 5, training loss 0.098:  13%|█▎        | 23/182 [00:31<03:35,  1.36s/it]
Epoch 5, training loss 0.102:  13%|█▎        | 23/182 [00:31<03:40,  1.39s/it]
Epoch 5, training loss 0.102:  13%|█▎        | 24/182 [00:32<03:33,  1.35s/it]
Epoch 5, training loss 0.115:  13%|█▎        | 24/182 [00:33<03:37,  1.38s/it]
Epoch 5, training loss 0.115:  14%|█▎        | 25/182 [00:33<03:30,  1.34s/it]
Epoch 5, training loss 0.112:  14%|█▎        | 25/182 [00:34<03:34,  1.37s/it]
Epoch 5, training loss 0.112:  14%|█▍        | 26/182 [00:34<03:28,  1.33s/it]
Epoch 5, training loss 0.116:  14%|█▍        | 26/182 [00:35<03:32,  1.36s/it]
Epoch 5, training loss 0.116:  15%|█▍        | 27/182 [00:35<03:25,  1.33s/it]
Epoch 5, training loss 0.116:  15%|█▍        | 27/182 [00:36<03:29,  1.35s/it]
Epoch 5, training loss 0.116:  15%|█▌        | 28/182 [00:36<03:23,  1.32s/it]
Epoch 5, training loss 0.119:  15%|█▌        | 28/182 [00:37<03:26,  1.34s/it]
Epoch 5, training loss 0.119:  16%|█▌        | 29/182 [00:38<03:20,  1.31s/it]
Epoch 5, training loss 0.130:  16%|█▌        | 29/182 [00:38<03:24,  1.34s/it]
Epoch 5, training loss 0.130:  16%|█▋        | 30/182 [00:39<03:18,  1.31s/it]
Epoch 5, training loss 0.129:  16%|█▋        | 30/182 [00:39<03:22,  1.33s/it]
Epoch 5, training loss 0.129:  17%|█▋        | 31/182 [00:40<03:17,  1.31s/it]
Epoch 5, training loss 0.127:  17%|█▋        | 31/182 [00:41<03:20,  1.33s/it]
Epoch 5, training loss 0.127:  18%|█▊        | 32/182 [00:41<03:15,  1.30s/it]
Epoch 5, training loss 0.125:  18%|█▊        | 32/182 [00:42<03:17,  1.32s/it]
Epoch 5, training loss 0.125:  18%|█▊        | 33/182 [00:42<03:12,  1.29s/it]
Epoch 5, training loss 0.124:  18%|█▊        | 33/182 [00:43<03:15,  1.31s/it]
Epoch 5, training loss 0.124:  19%|█▊        | 34/182 [00:43<03:11,  1.29s/it]
Epoch 5, training loss 0.128:  19%|█▊        | 34/182 [00:44<03:13,  1.31s/it]
Epoch 5, training loss 0.128:  19%|█▉        | 35/182 [00:45<03:09,  1.29s/it]
Epoch 5, training loss 0.127:  19%|█▉        | 35/182 [00:45<03:11,  1.31s/it]
Epoch 5, training loss 0.127:  20%|█▉        | 36/182 [00:46<03:07,  1.28s/it]
Epoch 5, training loss 0.129:  20%|█▉        | 36/182 [00:46<03:09,  1.30s/it]
Epoch 5, training loss 0.129:  20%|██        | 37/182 [00:47<03:05,  1.28s/it]
Epoch 5, training loss 0.131:  20%|██        | 37/182 [00:47<03:07,  1.29s/it]
Epoch 5, training loss 0.131:  21%|██        | 38/182 [00:48<03:03,  1.27s/it]
Epoch 5, training loss 0.129:  21%|██        | 38/182 [00:49<03:05,  1.29s/it]
Epoch 5, training loss 0.129:  21%|██▏       | 39/182 [00:49<03:01,  1.27s/it]
Epoch 5, training loss 0.129:  21%|██▏       | 39/182 [00:50<03:04,  1.29s/it]
Epoch 5, training loss 0.129:  22%|██▏       | 40/182 [00:50<03:00,  1.27s/it]
Epoch 5, training loss 0.128:  22%|██▏       | 40/182 [00:51<03:02,  1.29s/it]
Epoch 5, training loss 0.128:  23%|██▎       | 41/182 [00:51<02:58,  1.27s/it]
Epoch 5, training loss 0.127:  23%|██▎       | 41/182 [00:52<03:00,  1.28s/it]
Epoch 5, training loss 0.127:  23%|██▎       | 42/182 [00:53<02:56,  1.26s/it]
Epoch 5, training loss 0.125:  23%|██▎       | 42/182 [00:53<02:59,  1.28s/it]
Epoch 5, training loss 0.125:  24%|██▎       | 43/182 [00:54<02:55,  1.26s/it]
Epoch 5, training loss 0.125:  24%|██▎       | 43/182 [00:54<02:57,  1.28s/it]
Epoch 5, training loss 0.125:  24%|██▍       | 44/182 [00:55<02:53,  1.26s/it]
Epoch 5, training loss 0.126:  24%|██▍       | 44/182 [00:56<02:55,  1.27s/it]
Epoch 5, training loss 0.126:  25%|██▍       | 45/182 [00:56<02:52,  1.26s/it]
Epoch 5, training loss 0.126:  25%|██▍       | 45/182 [00:57<02:54,  1.27s/it]
Epoch 5, training loss 0.126:  25%|██▌       | 46/182 [00:57<02:50,  1.25s/it]
Epoch 5, training loss 0.125:  25%|██▌       | 46/182 [00:58<02:52,  1.27s/it]
Epoch 5, training loss 0.125:  26%|██▌       | 47/182 [00:58<02:49,  1.25s/it]
Epoch 5, training loss 0.124:  26%|██▌       | 47/182 [00:59<02:51,  1.27s/it]
Epoch 5, training loss 0.124:  26%|██▋       | 48/182 [01:00<02:47,  1.25s/it]
Epoch 5, training loss 0.124:  26%|██▋       | 48/182 [01:00<02:49,  1.27s/it]
Epoch 5, training loss 0.124:  27%|██▋       | 49/182 [01:01<02:46,  1.25s/it]
Epoch 5, training loss 0.123:  27%|██▋       | 49/182 [01:01<02:48,  1.26s/it]
Epoch 5, training loss 0.123:  27%|██▋       | 50/182 [01:02<02:44,  1.25s/it]
Epoch 5, training loss 0.121:  27%|██▋       | 50/182 [01:03<02:46,  1.26s/it]
Epoch 5, training loss 0.121:  28%|██▊       | 51/182 [01:03<02:43,  1.25s/it]
Epoch 5, training loss 0.120:  28%|██▊       | 51/182 [01:04<02:45,  1.26s/it]
Epoch 5, training loss 0.120:  29%|██▊       | 52/182 [01:04<02:41,  1.25s/it]
Epoch 5, training loss 0.118:  29%|██▊       | 52/182 [01:05<02:43,  1.26s/it]
Epoch 5, training loss 0.118:  29%|██▉       | 53/182 [01:05<02:40,  1.24s/it]
Epoch 5, training loss 0.124:  29%|██▉       | 53/182 [01:06<02:41,  1.26s/it]
Epoch 5, training loss 0.124:  30%|██▉       | 54/182 [01:07<02:38,  1.24s/it]
Epoch 5, training loss 0.123:  30%|██▉       | 54/182 [01:07<02:40,  1.25s/it]
Epoch 5, training loss 0.123:  30%|███       | 55/182 [01:08<02:37,  1.24s/it]
Epoch 5, training loss 0.122:  30%|███       | 55/182 [01:08<02:39,  1.25s/it]
Epoch 5, training loss 0.122:  31%|███       | 56/182 [01:09<02:36,  1.24s/it]
Epoch 5, training loss 0.121:  31%|███       | 56/182 [01:09<02:37,  1.25s/it]
Epoch 5, training loss 0.121:  31%|███▏      | 57/182 [01:10<02:34,  1.24s/it]
Epoch 5, training loss 0.123:  31%|███▏      | 57/182 [01:11<02:35,  1.25s/it]
Epoch 5, training loss 0.123:  32%|███▏      | 58/182 [01:11<02:33,  1.23s/it]
Epoch 5, training loss 0.123:  32%|███▏      | 58/182 [01:12<02:34,  1.24s/it]
Epoch 5, training loss 0.123:  32%|███▏      | 59/182 [01:12<02:31,  1.23s/it]
Epoch 5, training loss 0.123:  32%|███▏      | 59/182 [01:13<02:33,  1.24s/it]
Epoch 5, training loss 0.123:  33%|███▎      | 60/182 [01:13<02:30,  1.23s/it]
Epoch 5, training loss 0.123:  33%|███▎      | 60/182 [01:14<02:31,  1.24s/it]
Epoch 5, training loss 0.123:  34%|███▎      | 61/182 [01:15<02:28,  1.23s/it]
Epoch 5, training loss 0.122:  34%|███▎      | 61/182 [01:15<02:30,  1.24s/it]
Epoch 5, training loss 0.122:  34%|███▍      | 62/182 [01:16<02:27,  1.23s/it]
Epoch 5, training loss 0.129:  34%|███▍      | 62/182 [01:16<02:28,  1.24s/it]
Epoch 5, training loss 0.129:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 5, training loss 0.129:  35%|███▍      | 63/182 [01:18<02:27,  1.24s/it]
Epoch 5, training loss 0.129:  35%|███▌      | 64/182 [01:18<02:24,  1.23s/it]
Epoch 5, training loss 0.128:  35%|███▌      | 64/182 [01:19<02:25,  1.24s/it]
Epoch 5, training loss 0.128:  36%|███▌      | 65/182 [01:19<02:23,  1.23s/it]
Epoch 5, training loss 0.127:  36%|███▌      | 65/182 [01:20<02:24,  1.23s/it]
Epoch 5, training loss 0.127:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 5, training loss 0.126:  36%|███▋      | 66/182 [01:21<02:23,  1.23s/it]
Epoch 5, training loss 0.126:  37%|███▋      | 67/182 [01:21<02:20,  1.22s/it]
Epoch 5, training loss 0.127:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 5, training loss 0.127:  37%|███▋      | 68/182 [01:23<02:19,  1.22s/it]
Epoch 5, training loss 0.127:  37%|███▋      | 68/182 [01:23<02:20,  1.23s/it]
Epoch 5, training loss 0.127:  38%|███▊      | 69/182 [01:24<02:17,  1.22s/it]
Epoch 5, training loss 0.126:  38%|███▊      | 69/182 [01:24<02:19,  1.23s/it]
Epoch 5, training loss 0.126:  38%|███▊      | 70/182 [01:25<02:16,  1.22s/it]
Epoch 5, training loss 0.125:  38%|███▊      | 70/182 [01:26<02:17,  1.23s/it]
Epoch 5, training loss 0.125:  39%|███▉      | 71/182 [01:26<02:15,  1.22s/it]
Epoch 5, training loss 0.124:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 5, training loss 0.124:  40%|███▉      | 72/182 [01:27<02:13,  1.22s/it]
Epoch 5, training loss 0.123:  40%|███▉      | 72/182 [01:28<02:14,  1.23s/it]
Epoch 5, training loss 0.123:  40%|████      | 73/182 [01:28<02:12,  1.22s/it]
Epoch 5, training loss 0.122:  40%|████      | 73/182 [01:29<02:13,  1.22s/it]
Epoch 5, training loss 0.122:  41%|████      | 74/182 [01:29<02:11,  1.21s/it]
Epoch 5, training loss 0.121:  41%|████      | 74/182 [01:30<02:11,  1.22s/it]
Epoch 5, training loss 0.121:  41%|████      | 75/182 [01:30<02:09,  1.21s/it]
Epoch 5, training loss 0.122:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 5, training loss 0.122:  42%|████▏     | 76/182 [01:32<02:08,  1.21s/it]
Epoch 5, training loss 0.122:  42%|████▏     | 76/182 [01:32<02:09,  1.22s/it]
Epoch 5, training loss 0.122:  42%|████▏     | 77/182 [01:33<02:07,  1.21s/it]
Epoch 5, training loss 0.121:  42%|████▏     | 77/182 [01:33<02:07,  1.22s/it]
Epoch 5, training loss 0.121:  43%|████▎     | 78/182 [01:34<02:05,  1.21s/it]
Epoch 5, training loss 0.121:  43%|████▎     | 78/182 [01:35<02:06,  1.22s/it]
Epoch 5, training loss 0.121:  43%|████▎     | 79/182 [01:35<02:04,  1.21s/it]
Epoch 5, training loss 0.122:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
Epoch 5, training loss 0.122:  44%|████▍     | 80/182 [01:36<02:03,  1.21s/it]
Epoch 5, training loss 0.122:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 5, training loss 0.122:  45%|████▍     | 81/182 [01:37<02:01,  1.21s/it]
Epoch 5, training loss 0.122:  45%|████▍     | 81/182 [01:38<02:02,  1.21s/it]
Epoch 5, training loss 0.122:  45%|████▌     | 82/182 [01:38<02:00,  1.21s/it]
Epoch 5, training loss 0.121:  45%|████▌     | 82/182 [01:39<02:01,  1.21s/it]
Epoch 5, training loss 0.121:  46%|████▌     | 83/182 [01:39<01:59,  1.20s/it]
Epoch 5, training loss 0.122:  46%|████▌     | 83/182 [01:40<01:59,  1.21s/it]
Epoch 5, training loss 0.122:  46%|████▌     | 84/182 [01:41<01:57,  1.20s/it]
Epoch 5, training loss 0.122:  46%|████▌     | 84/182 [01:41<01:58,  1.21s/it]
Epoch 5, training loss 0.122:  47%|████▋     | 85/182 [01:42<01:56,  1.20s/it]
Epoch 5, training loss 0.122:  47%|████▋     | 85/182 [01:42<01:57,  1.21s/it]
Epoch 5, training loss 0.122:  47%|████▋     | 86/182 [01:43<01:55,  1.20s/it]
Epoch 5, training loss 0.123:  47%|████▋     | 86/182 [01:43<01:56,  1.21s/it]
Epoch 5, training loss 0.123:  48%|████▊     | 87/182 [01:44<01:54,  1.20s/it]
Epoch 5, training loss 0.127:  48%|████▊     | 87/182 [01:45<01:54,  1.21s/it]
Epoch 5, training loss 0.127:  48%|████▊     | 88/182 [01:45<01:52,  1.20s/it]
Epoch 5, training loss 0.126:  48%|████▊     | 88/182 [01:46<01:53,  1.21s/it]
Epoch 5, training loss 0.126:  49%|████▉     | 89/182 [01:46<01:51,  1.20s/it]
Epoch 5, training loss 0.127:  49%|████▉     | 89/182 [01:47<01:52,  1.21s/it]
Epoch 5, training loss 0.127:  49%|████▉     | 90/182 [01:48<01:50,  1.20s/it]
Epoch 5, training loss 0.126:  49%|████▉     | 90/182 [01:48<01:51,  1.21s/it]
Epoch 5, training loss 0.126:  50%|█████     | 91/182 [01:49<01:49,  1.20s/it]
Epoch 5, training loss 0.126:  50%|█████     | 91/182 [01:49<01:49,  1.21s/it]
Epoch 5, training loss 0.126:  51%|█████     | 92/182 [01:50<01:47,  1.20s/it]
Epoch 5, training loss 0.125:  51%|█████     | 92/182 [01:50<01:48,  1.20s/it]
Epoch 5, training loss 0.125:  51%|█████     | 93/182 [01:51<01:46,  1.20s/it]
Epoch 5, training loss 0.128:  51%|█████     | 93/182 [01:51<01:47,  1.20s/it]
Epoch 5, training loss 0.128:  52%|█████▏    | 94/182 [01:52<01:45,  1.20s/it]
Epoch 5, training loss 0.127:  52%|█████▏    | 94/182 [01:53<01:45,  1.20s/it]
Epoch 5, training loss 0.127:  52%|█████▏    | 95/182 [01:53<01:44,  1.20s/it]
Epoch 5, training loss 0.126:  52%|█████▏    | 95/182 [01:54<01:44,  1.20s/it]
Epoch 5, training loss 0.126:  53%|█████▎    | 96/182 [01:54<01:42,  1.20s/it]
Epoch 5, training loss 0.127:  53%|█████▎    | 96/182 [01:55<01:43,  1.20s/it]
Epoch 5, training loss 0.127:  53%|█████▎    | 97/182 [01:55<01:41,  1.19s/it]
Epoch 5, training loss 0.128:  53%|█████▎    | 97/182 [01:56<01:42,  1.20s/it]
Epoch 5, training loss 0.128:  54%|█████▍    | 98/182 [01:57<01:40,  1.19s/it]
Epoch 5, training loss 0.129:  54%|█████▍    | 98/182 [01:57<01:40,  1.20s/it]
Epoch 5, training loss 0.129:  54%|█████▍    | 99/182 [01:58<01:39,  1.19s/it]
Epoch 5, training loss 0.128:  54%|█████▍    | 99/182 [01:58<01:39,  1.20s/it]
Epoch 5, training loss 0.128:  55%|█████▍    | 100/182 [01:59<01:37,  1.19s/it]
Epoch 5, training loss 0.130:  55%|█████▍    | 100/182 [02:00<01:38,  1.20s/it]
Epoch 5, training loss 0.130:  55%|█████▌    | 101/182 [02:00<01:36,  1.19s/it]
Epoch 5, training loss 0.132:  55%|█████▌    | 101/182 [02:01<01:37,  1.20s/it]
Epoch 5, training loss 0.132:  56%|█████▌    | 102/182 [02:01<01:35,  1.19s/it]
Epoch 5, training loss 0.131:  56%|█████▌    | 102/182 [02:02<01:35,  1.20s/it]
Epoch 5, training loss 0.131:  57%|█████▋    | 103/182 [02:02<01:34,  1.19s/it]
Epoch 5, training loss 0.131:  57%|█████▋    | 103/182 [02:03<01:34,  1.20s/it]
Epoch 5, training loss 0.131:  57%|█████▋    | 104/182 [02:03<01:32,  1.19s/it]
Epoch 5, training loss 0.130:  57%|█████▋    | 104/182 [02:04<01:33,  1.20s/it]
Epoch 5, training loss 0.130:  58%|█████▊    | 105/182 [02:05<01:31,  1.19s/it]
Epoch 5, training loss 0.130:  58%|█████▊    | 105/182 [02:05<01:32,  1.20s/it]
Epoch 5, training loss 0.130:  58%|█████▊    | 106/182 [02:06<01:30,  1.19s/it]
Epoch 5, training loss 0.129:  58%|█████▊    | 106/182 [02:06<01:30,  1.20s/it]
Epoch 5, training loss 0.129:  59%|█████▉    | 107/182 [02:07<01:29,  1.19s/it]
Epoch 5, training loss 0.129:  59%|█████▉    | 107/182 [02:07<01:29,  1.20s/it]
Epoch 5, training loss 0.129:  59%|█████▉    | 108/182 [02:08<01:27,  1.19s/it]
Epoch 5, training loss 0.128:  59%|█████▉    | 108/182 [02:09<01:28,  1.19s/it]
Epoch 5, training loss 0.128:  60%|█████▉    | 109/182 [02:09<01:26,  1.19s/it]
Epoch 5, training loss 0.128:  60%|█████▉    | 109/182 [02:10<01:27,  1.19s/it]
Epoch 5, training loss 0.128:  60%|██████    | 110/182 [02:10<01:25,  1.19s/it]
Epoch 5, training loss 0.129:  60%|██████    | 110/182 [02:11<01:25,  1.19s/it]
Epoch 5, training loss 0.129:  61%|██████    | 111/182 [02:11<01:24,  1.19s/it]
Epoch 5, training loss 0.129:  61%|██████    | 111/182 [02:12<01:24,  1.19s/it]
Epoch 5, training loss 0.129:  62%|██████▏   | 112/182 [02:12<01:23,  1.19s/it]
Epoch 5, training loss 0.128:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 5, training loss 0.128:  62%|██████▏   | 113/182 [02:14<01:21,  1.19s/it]
Epoch 5, training loss 0.129:  62%|██████▏   | 113/182 [02:14<01:22,  1.19s/it]
Epoch 5, training loss 0.129:  63%|██████▎   | 114/182 [02:15<01:20,  1.19s/it]
Epoch 5, training loss 0.129:  63%|██████▎   | 114/182 [02:15<01:21,  1.19s/it]
Epoch 5, training loss 0.129:  63%|██████▎   | 115/182 [02:16<01:19,  1.19s/it]
Epoch 5, training loss 0.128:  63%|██████▎   | 115/182 [02:17<01:19,  1.19s/it]
Epoch 5, training loss 0.128:  64%|██████▎   | 116/182 [02:17<01:18,  1.19s/it]
Epoch 5, training loss 0.128:  64%|██████▎   | 116/182 [02:18<01:18,  1.19s/it]
Epoch 5, training loss 0.128:  64%|██████▍   | 117/182 [02:18<01:17,  1.19s/it]
Epoch 5, training loss 0.129:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 5, training loss 0.129:  65%|██████▍   | 118/182 [02:19<01:15,  1.19s/it]
Epoch 5, training loss 0.128:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 5, training loss 0.128:  65%|██████▌   | 119/182 [02:20<01:14,  1.18s/it]
Epoch 5, training loss 0.128:  65%|██████▌   | 119/182 [02:21<01:14,  1.19s/it]
Epoch 5, training loss 0.128:  66%|██████▌   | 120/182 [02:22<01:13,  1.18s/it]
Epoch 5, training loss 0.128:  66%|██████▌   | 120/182 [02:22<01:13,  1.19s/it]
Epoch 5, training loss 0.128:  66%|██████▋   | 121/182 [02:23<01:12,  1.18s/it]
Epoch 5, training loss 0.128:  66%|██████▋   | 121/182 [02:23<01:12,  1.19s/it]
Epoch 5, training loss 0.128:  67%|██████▋   | 122/182 [02:24<01:11,  1.18s/it]
Epoch 5, training loss 0.129:  67%|██████▋   | 122/182 [02:25<01:11,  1.19s/it]
Epoch 5, training loss 0.129:  68%|██████▊   | 123/182 [02:25<01:09,  1.18s/it]
Epoch 5, training loss 0.129:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 5, training loss 0.129:  68%|██████▊   | 124/182 [02:26<01:08,  1.18s/it]
Epoch 5, training loss 0.129:  68%|██████▊   | 124/182 [02:27<01:08,  1.19s/it]
Epoch 5, training loss 0.129:  69%|██████▊   | 125/182 [02:27<01:07,  1.18s/it]
Epoch 5, training loss 0.128:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 5, training loss 0.128:  69%|██████▉   | 126/182 [02:29<01:06,  1.18s/it]
Epoch 5, training loss 0.127:  69%|██████▉   | 126/182 [02:29<01:06,  1.19s/it]
Epoch 5, training loss 0.127:  70%|██████▉   | 127/182 [02:30<01:05,  1.18s/it]
Epoch 5, training loss 0.126:  70%|██████▉   | 127/182 [02:30<01:05,  1.19s/it]
Epoch 5, training loss 0.126:  70%|███████   | 128/182 [02:31<01:03,  1.18s/it]
Epoch 5, training loss 0.126:  70%|███████   | 128/182 [02:31<01:04,  1.19s/it]
Epoch 5, training loss 0.126:  71%|███████   | 129/182 [02:32<01:02,  1.18s/it]
Epoch 5, training loss 0.126:  71%|███████   | 129/182 [02:33<01:02,  1.19s/it]
Epoch 5, training loss 0.126:  71%|███████▏  | 130/182 [02:33<01:01,  1.18s/it]
Epoch 5, training loss 0.125:  71%|███████▏  | 130/182 [02:34<01:01,  1.19s/it]
Epoch 5, training loss 0.125:  72%|███████▏  | 131/182 [02:34<01:00,  1.18s/it]
Epoch 5, training loss 0.125:  72%|███████▏  | 131/182 [02:35<01:00,  1.19s/it]
Epoch 5, training loss 0.125:  73%|███████▎  | 132/182 [02:35<00:59,  1.18s/it]
Epoch 5, training loss 0.126:  73%|███████▎  | 132/182 [02:36<00:59,  1.19s/it]
Epoch 5, training loss 0.126:  73%|███████▎  | 133/182 [02:37<00:57,  1.18s/it]
Epoch 5, training loss 0.126:  73%|███████▎  | 133/182 [02:37<00:58,  1.19s/it]
Epoch 5, training loss 0.126:  74%|███████▎  | 134/182 [02:38<00:56,  1.18s/it]
Epoch 5, training loss 0.126:  74%|███████▎  | 134/182 [02:38<00:56,  1.19s/it]
Epoch 5, training loss 0.126:  74%|███████▍  | 135/182 [02:39<00:55,  1.18s/it]
Epoch 5, training loss 0.125:  74%|███████▍  | 135/182 [02:40<00:55,  1.19s/it]
Epoch 5, training loss 0.125:  75%|███████▍  | 136/182 [02:40<00:54,  1.18s/it]
Epoch 5, training loss 0.125:  75%|███████▍  | 136/182 [02:41<00:54,  1.18s/it]
Epoch 5, training loss 0.125:  75%|███████▌  | 137/182 [02:41<00:53,  1.18s/it]
Epoch 5, training loss 0.124:  75%|███████▌  | 137/182 [02:42<00:53,  1.18s/it]
Epoch 5, training loss 0.124:  76%|███████▌  | 138/182 [02:42<00:51,  1.18s/it]
Epoch 5, training loss 0.126:  76%|███████▌  | 138/182 [02:43<00:52,  1.18s/it]
Epoch 5, training loss 0.126:  76%|███████▋  | 139/182 [02:43<00:50,  1.18s/it]
Epoch 5, training loss 0.126:  76%|███████▋  | 139/182 [02:44<00:50,  1.18s/it]
Epoch 5, training loss 0.126:  77%|███████▋  | 140/182 [02:44<00:49,  1.18s/it]
Epoch 5, training loss 0.125:  77%|███████▋  | 140/182 [02:45<00:49,  1.18s/it]
Epoch 5, training loss 0.125:  77%|███████▋  | 141/182 [02:46<00:48,  1.18s/it]
Epoch 5, training loss 0.126:  77%|███████▋  | 141/182 [02:46<00:48,  1.18s/it]
Epoch 5, training loss 0.126:  78%|███████▊  | 142/182 [02:47<00:47,  1.18s/it]
Epoch 5, training loss 0.125:  78%|███████▊  | 142/182 [02:47<00:47,  1.18s/it]
Epoch 5, training loss 0.125:  79%|███████▊  | 143/182 [02:48<00:45,  1.18s/it]
Epoch 5, training loss 0.125:  79%|███████▊  | 143/182 [02:48<00:46,  1.18s/it]
Epoch 5, training loss 0.125:  79%|███████▉  | 144/182 [02:49<00:44,  1.18s/it]
Epoch 5, training loss 0.125:  79%|███████▉  | 144/182 [02:50<00:44,  1.18s/it]
Epoch 5, training loss 0.125:  80%|███████▉  | 145/182 [02:50<00:43,  1.18s/it]
Epoch 5, training loss 0.125:  80%|███████▉  | 145/182 [02:51<00:43,  1.18s/it]
Epoch 5, training loss 0.125:  80%|████████  | 146/182 [02:51<00:42,  1.18s/it]
Epoch 5, training loss 0.125:  80%|████████  | 146/182 [02:52<00:42,  1.18s/it]
Epoch 5, training loss 0.125:  81%|████████  | 147/182 [02:52<00:41,  1.18s/it]
Epoch 5, training loss 0.124:  81%|████████  | 147/182 [02:53<00:41,  1.18s/it]
Epoch 5, training loss 0.124:  81%|████████▏ | 148/182 [02:54<00:39,  1.18s/it]
Epoch 5, training loss 0.124:  81%|████████▏ | 148/182 [02:54<00:40,  1.18s/it]
Epoch 5, training loss 0.124:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 5, training loss 0.123:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 5, training loss 0.123:  82%|████████▏ | 150/182 [02:56<00:37,  1.18s/it]
Epoch 5, training loss 0.123:  82%|████████▏ | 150/182 [02:56<00:37,  1.18s/it]
Epoch 5, training loss 0.123:  83%|████████▎ | 151/182 [02:57<00:36,  1.18s/it]
Epoch 5, training loss 0.123:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 5, training loss 0.123:  84%|████████▎ | 152/182 [02:58<00:35,  1.17s/it]
Epoch 5, training loss 0.123:  84%|████████▎ | 152/182 [02:59<00:35,  1.18s/it]
Epoch 5, training loss 0.123:  84%|████████▍ | 153/182 [02:59<00:34,  1.17s/it]
Epoch 5, training loss 0.123:  84%|████████▍ | 153/182 [03:00<00:34,  1.18s/it]
Epoch 5, training loss 0.123:  85%|████████▍ | 154/182 [03:00<00:32,  1.17s/it]
Epoch 5, training loss 0.122:  85%|████████▍ | 154/182 [03:01<00:32,  1.18s/it]
Epoch 5, training loss 0.122:  85%|████████▌ | 155/182 [03:01<00:31,  1.17s/it]
Epoch 5, training loss 0.122:  85%|████████▌ | 155/182 [03:02<00:31,  1.18s/it]
Epoch 5, training loss 0.122:  86%|████████▌ | 156/182 [03:03<00:30,  1.17s/it]
Epoch 5, training loss 0.123:  86%|████████▌ | 156/182 [03:03<00:30,  1.18s/it]
Epoch 5, training loss 0.123:  86%|████████▋ | 157/182 [03:04<00:29,  1.17s/it]
Epoch 5, training loss 0.122:  86%|████████▋ | 157/182 [03:04<00:29,  1.18s/it]
Epoch 5, training loss 0.122:  87%|████████▋ | 158/182 [03:05<00:28,  1.17s/it]
Epoch 5, training loss 0.122:  87%|████████▋ | 158/182 [03:06<00:28,  1.18s/it]
Epoch 5, training loss 0.122:  87%|████████▋ | 159/182 [03:06<00:26,  1.17s/it]
Epoch 5, training loss 0.122:  87%|████████▋ | 159/182 [03:07<00:27,  1.18s/it]
Epoch 5, training loss 0.122:  88%|████████▊ | 160/182 [03:07<00:25,  1.17s/it]
Epoch 5, training loss 0.122:  88%|████████▊ | 160/182 [03:08<00:25,  1.18s/it]
Epoch 5, training loss 0.122:  88%|████████▊ | 161/182 [03:08<00:24,  1.17s/it]
Epoch 5, training loss 0.121:  88%|████████▊ | 161/182 [03:09<00:24,  1.18s/it]
Epoch 5, training loss 0.121:  89%|████████▉ | 162/182 [03:09<00:23,  1.17s/it]
Epoch 5, training loss 0.121:  89%|████████▉ | 162/182 [03:10<00:23,  1.18s/it]
Epoch 5, training loss 0.121:  90%|████████▉ | 163/182 [03:11<00:22,  1.17s/it]
Epoch 5, training loss 0.121:  90%|████████▉ | 163/182 [03:11<00:22,  1.18s/it]
Epoch 5, training loss 0.121:  90%|█████████ | 164/182 [03:12<00:21,  1.17s/it]
Epoch 5, training loss 0.125:  90%|█████████ | 164/182 [03:12<00:21,  1.18s/it]
Epoch 5, training loss 0.125:  91%|█████████ | 165/182 [03:13<00:19,  1.17s/it]
Epoch 5, training loss 0.125:  91%|█████████ | 165/182 [03:14<00:19,  1.18s/it]
Epoch 5, training loss 0.125:  91%|█████████ | 166/182 [03:14<00:18,  1.17s/it]
Epoch 5, training loss 0.125:  91%|█████████ | 166/182 [03:15<00:18,  1.18s/it]
Epoch 5, training loss 0.125:  92%|█████████▏| 167/182 [03:15<00:17,  1.17s/it]
Epoch 5, training loss 0.125:  92%|█████████▏| 167/182 [03:16<00:17,  1.18s/it]
Epoch 5, training loss 0.125:  92%|█████████▏| 168/182 [03:16<00:16,  1.17s/it]
Epoch 5, training loss 0.125:  92%|█████████▏| 168/182 [03:17<00:16,  1.18s/it]
Epoch 5, training loss 0.125:  93%|█████████▎| 169/182 [03:18<00:15,  1.17s/it]
Epoch 5, training loss 0.124:  93%|█████████▎| 169/182 [03:18<00:15,  1.18s/it]
Epoch 5, training loss 0.124:  93%|█████████▎| 170/182 [03:19<00:14,  1.17s/it]
Epoch 5, training loss 0.124:  93%|█████████▎| 170/182 [03:19<00:14,  1.17s/it]
Epoch 5, training loss 0.124:  94%|█████████▍| 171/182 [03:20<00:12,  1.17s/it]
Epoch 5, training loss 0.125:  94%|█████████▍| 171/182 [03:20<00:12,  1.17s/it]
Epoch 5, training loss 0.125:  95%|█████████▍| 172/182 [03:21<00:11,  1.17s/it]
Epoch 5, training loss 0.125:  95%|█████████▍| 172/182 [03:21<00:11,  1.17s/it]
Epoch 5, training loss 0.125:  95%|█████████▌| 173/182 [03:22<00:10,  1.17s/it]
Epoch 5, training loss 0.124:  95%|█████████▌| 173/182 [03:23<00:10,  1.17s/it]
Epoch 5, training loss 0.124:  96%|█████████▌| 174/182 [03:23<00:09,  1.17s/it]
Epoch 5, training loss 0.124:  96%|█████████▌| 174/182 [03:24<00:09,  1.17s/it]
Epoch 5, training loss 0.124:  96%|█████████▌| 175/182 [03:24<00:08,  1.17s/it]
Epoch 5, training loss 0.124:  96%|█████████▌| 175/182 [03:25<00:08,  1.17s/it]
Epoch 5, training loss 0.124:  97%|█████████▋| 176/182 [03:25<00:07,  1.17s/it]
Epoch 5, training loss 0.124:  97%|█████████▋| 176/182 [03:26<00:07,  1.17s/it]
Epoch 5, training loss 0.124:  97%|█████████▋| 177/182 [03:26<00:05,  1.17s/it]
Epoch 5, training loss 0.124:  97%|█████████▋| 177/182 [03:27<00:05,  1.17s/it]
Epoch 5, training loss 0.124:  98%|█████████▊| 178/182 [03:28<00:04,  1.17s/it]
Epoch 5, training loss 0.125:  98%|█████████▊| 178/182 [03:28<00:04,  1.17s/it]
Epoch 5, training loss 0.125:  98%|█████████▊| 179/182 [03:29<00:03,  1.17s/it]
Epoch 5, training loss 0.125:  98%|█████████▊| 179/182 [03:29<00:03,  1.17s/it]
Epoch 5, training loss 0.125:  99%|█████████▉| 180/182 [03:30<00:02,  1.17s/it]
Epoch 5, training loss 0.125:  99%|█████████▉| 180/182 [03:30<00:02,  1.17s/it]
Epoch 5, training loss 0.125:  99%|█████████▉| 181/182 [03:31<00:01,  1.17s/it]
Epoch 5, training loss 0.125:  99%|█████████▉| 181/182 [03:32<00:01,  1.17s/it]
Epoch 5, training loss 0.125: 100%|██████████| 182/182 [03:32<00:00,  1.17s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 5, validation pixAcc: 0.975, mIoU: 0.593:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 5, validation pixAcc: 0.975, mIoU: 0.593:   1%|          | 1/91 [00:04<06:36,  4.40s/it]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.753:   1%|          | 1/91 [00:04<07:19,  4.88s/it]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.753:   2%|▏         | 2/91 [00:04<03:37,  2.44s/it]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.782:   2%|▏         | 2/91 [00:05<03:55,  2.65s/it]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.782:   3%|▎         | 3/91 [00:05<02:35,  1.77s/it]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.781:   3%|▎         | 3/91 [00:05<02:48,  1.91s/it]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.781:   4%|▍         | 4/91 [00:05<02:04,  1.43s/it]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.829:   4%|▍         | 4/91 [00:06<02:14,  1.55s/it]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.829:   5%|▌         | 5/91 [00:06<01:46,  1.24s/it]
Epoch 5, validation pixAcc: 0.975, mIoU: 0.886:   5%|▌         | 5/91 [00:06<01:53,  1.32s/it]
Epoch 5, validation pixAcc: 0.975, mIoU: 0.886:   7%|▋         | 6/91 [00:06<01:33,  1.10s/it]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.882:   7%|▋         | 6/91 [00:07<01:40,  1.18s/it]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.882:   8%|▊         | 7/91 [00:07<01:24,  1.01s/it]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.881:   8%|▊         | 7/91 [00:07<01:30,  1.07s/it]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.881:   9%|▉         | 8/91 [00:07<01:17,  1.06it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.882:   9%|▉         | 8/91 [00:07<01:22,  1.01it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.882:  10%|▉         | 9/91 [00:07<01:12,  1.14it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.884:  10%|▉         | 9/91 [00:08<01:16,  1.08it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.884:  11%|█         | 10/91 [00:08<01:07,  1.20it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.885:  11%|█         | 10/91 [00:08<01:11,  1.13it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.885:  12%|█▏        | 11/91 [00:08<01:04,  1.25it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.882:  12%|█▏        | 11/91 [00:09<01:07,  1.19it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.882:  13%|█▎        | 12/91 [00:09<01:00,  1.30it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.879:  13%|█▎        | 12/91 [00:09<01:03,  1.24it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.879:  14%|█▍        | 13/91 [00:09<00:58,  1.34it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.886:  14%|█▍        | 13/91 [00:10<01:00,  1.28it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.886:  15%|█▌        | 14/91 [00:10<00:55,  1.38it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.886:  15%|█▌        | 14/91 [00:10<00:58,  1.33it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.886:  16%|█▋        | 15/91 [00:10<00:53,  1.42it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.888:  16%|█▋        | 15/91 [00:10<00:55,  1.36it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.888:  18%|█▊        | 16/91 [00:10<00:51,  1.46it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.892:  18%|█▊        | 16/91 [00:11<00:53,  1.40it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.892:  19%|█▊        | 17/91 [00:11<00:49,  1.49it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.888:  19%|█▊        | 17/91 [00:11<00:51,  1.44it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.888:  20%|█▉        | 18/91 [00:11<00:47,  1.52it/s]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.883:  20%|█▉        | 18/91 [00:12<00:49,  1.47it/s]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.883:  21%|██        | 19/91 [00:12<00:46,  1.55it/s]
Epoch 5, validation pixAcc: 0.970, mIoU: 0.879:  21%|██        | 19/91 [00:12<00:47,  1.51it/s]
Epoch 5, validation pixAcc: 0.970, mIoU: 0.879:  22%|██▏       | 20/91 [00:12<00:44,  1.59it/s]
Epoch 5, validation pixAcc: 0.970, mIoU: 0.879:  22%|██▏       | 20/91 [00:13<00:46,  1.53it/s]
Epoch 5, validation pixAcc: 0.970, mIoU: 0.879:  23%|██▎       | 21/91 [00:13<00:43,  1.61it/s]
Epoch 5, validation pixAcc: 0.970, mIoU: 0.879:  23%|██▎       | 21/91 [00:13<00:44,  1.56it/s]
Epoch 5, validation pixAcc: 0.970, mIoU: 0.879:  24%|██▍       | 22/91 [00:13<00:42,  1.63it/s]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.881:  24%|██▍       | 22/91 [00:13<00:43,  1.58it/s]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.881:  25%|██▌       | 23/91 [00:13<00:41,  1.65it/s]
Epoch 5, validation pixAcc: 0.970, mIoU: 0.879:  25%|██▌       | 23/91 [00:14<00:42,  1.60it/s]
Epoch 5, validation pixAcc: 0.970, mIoU: 0.879:  26%|██▋       | 24/91 [00:14<00:40,  1.67it/s]
Epoch 5, validation pixAcc: 0.970, mIoU: 0.878:  26%|██▋       | 24/91 [00:14<00:41,  1.61it/s]
Epoch 5, validation pixAcc: 0.970, mIoU: 0.878:  27%|██▋       | 25/91 [00:14<00:39,  1.68it/s]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.879:  27%|██▋       | 25/91 [00:15<00:40,  1.64it/s]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.879:  29%|██▊       | 26/91 [00:15<00:38,  1.70it/s]
Epoch 5, validation pixAcc: 0.970, mIoU: 0.879:  29%|██▊       | 26/91 [00:15<00:39,  1.65it/s]
Epoch 5, validation pixAcc: 0.970, mIoU: 0.879:  30%|██▉       | 27/91 [00:15<00:37,  1.72it/s]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.884:  30%|██▉       | 27/91 [00:16<00:38,  1.68it/s]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.884:  31%|███       | 28/91 [00:16<00:36,  1.74it/s]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.885:  31%|███       | 28/91 [00:16<00:37,  1.69it/s]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.885:  32%|███▏      | 29/91 [00:16<00:35,  1.75it/s]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.884:  32%|███▏      | 29/91 [00:16<00:36,  1.71it/s]
Epoch 5, validation pixAcc: 0.971, mIoU: 0.884:  33%|███▎      | 30/91 [00:16<00:34,  1.77it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.886:  33%|███▎      | 30/91 [00:17<00:35,  1.73it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.886:  34%|███▍      | 31/91 [00:17<00:33,  1.79it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.888:  34%|███▍      | 31/91 [00:17<00:34,  1.75it/s]
Epoch 5, validation pixAcc: 0.972, mIoU: 0.888:  35%|███▌      | 32/91 [00:17<00:32,  1.80it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.890:  35%|███▌      | 32/91 [00:18<00:33,  1.76it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.890:  36%|███▋      | 33/91 [00:18<00:32,  1.81it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.892:  36%|███▋      | 33/91 [00:18<00:32,  1.77it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.892:  37%|███▋      | 34/91 [00:18<00:31,  1.83it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.892:  37%|███▋      | 34/91 [00:19<00:31,  1.78it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.892:  38%|███▊      | 35/91 [00:19<00:30,  1.84it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.892:  38%|███▊      | 35/91 [00:19<00:31,  1.80it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.892:  40%|███▉      | 36/91 [00:19<00:29,  1.85it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.892:  40%|███▉      | 36/91 [00:19<00:30,  1.81it/s]
Epoch 5, validation pixAcc: 0.973, mIoU: 0.892:  41%|████      | 37/91 [00:19<00:29,  1.86it/s]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.893:  41%|████      | 37/91 [00:20<00:29,  1.82it/s]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.893:  42%|████▏     | 38/91 [00:20<00:28,  1.87it/s]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.893:  42%|████▏     | 38/91 [00:20<00:28,  1.84it/s]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.893:  43%|████▎     | 39/91 [00:20<00:27,  1.88it/s]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.894:  43%|████▎     | 39/91 [00:21<00:28,  1.85it/s]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.894:  44%|████▍     | 40/91 [00:21<00:26,  1.89it/s]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.894:  44%|████▍     | 40/91 [00:21<00:27,  1.86it/s]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.894:  45%|████▌     | 41/91 [00:21<00:26,  1.90it/s]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.895:  45%|████▌     | 41/91 [00:21<00:26,  1.87it/s]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.895:  46%|████▌     | 42/91 [00:21<00:25,  1.91it/s]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.896:  46%|████▌     | 42/91 [00:22<00:26,  1.88it/s]
Epoch 5, validation pixAcc: 0.974, mIoU: 0.896:  47%|████▋     | 43/91 [00:22<00:24,  1.92it/s]
Epoch 5, validation pixAcc: 0.975, mIoU: 0.897:  47%|████▋     | 43/91 [00:22<00:25,  1.89it/s]
Epoch 5, validation pixAcc: 0.975, mIoU: 0.897:  48%|████▊     | 44/91 [00:22<00:24,  1.93it/s]
Epoch 5, validation pixAcc: 0.975, mIoU: 0.898:  48%|████▊     | 44/91 [00:23<00:24,  1.90it/s]
Epoch 5, validation pixAcc: 0.975, mIoU: 0.898:  49%|████▉     | 45/91 [00:23<00:23,  1.94it/s]
Epoch 5, validation pixAcc: 0.975, mIoU: 0.898:  49%|████▉     | 45/91 [00:23<00:24,  1.91it/s]
Epoch 5, validation pixAcc: 0.975, mIoU: 0.898:  51%|█████     | 46/91 [00:23<00:23,  1.95it/s]
Epoch 5, validation pixAcc: 0.975, mIoU: 0.898:  51%|█████     | 46/91 [00:23<00:23,  1.92it/s]
Epoch 5, validation pixAcc: 0.975, mIoU: 0.898:  52%|█████▏    | 47/91 [00:23<00:22,  1.96it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.898:  52%|█████▏    | 47/91 [00:24<00:22,  1.93it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.898:  53%|█████▎    | 48/91 [00:24<00:21,  1.97it/s]
Epoch 5, validation pixAcc: 0.975, mIoU: 0.897:  53%|█████▎    | 48/91 [00:24<00:22,  1.93it/s]
Epoch 5, validation pixAcc: 0.975, mIoU: 0.897:  54%|█████▍    | 49/91 [00:24<00:21,  1.98it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.897:  54%|█████▍    | 49/91 [00:25<00:21,  1.94it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.897:  55%|█████▍    | 50/91 [00:25<00:20,  1.98it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.898:  55%|█████▍    | 50/91 [00:25<00:20,  1.95it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.898:  56%|█████▌    | 51/91 [00:25<00:20,  1.99it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.899:  56%|█████▌    | 51/91 [00:26<00:20,  1.96it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.899:  57%|█████▋    | 52/91 [00:26<00:19,  2.00it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.899:  57%|█████▋    | 52/91 [00:26<00:19,  1.97it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.899:  58%|█████▊    | 53/91 [00:26<00:18,  2.01it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.898:  58%|█████▊    | 53/91 [00:26<00:19,  1.97it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.898:  59%|█████▉    | 54/91 [00:26<00:18,  2.01it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.899:  59%|█████▉    | 54/91 [00:27<00:18,  1.98it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.899:  60%|██████    | 55/91 [00:27<00:17,  2.02it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.899:  60%|██████    | 55/91 [00:27<00:18,  1.98it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.899:  62%|██████▏   | 56/91 [00:27<00:17,  2.02it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.900:  62%|██████▏   | 56/91 [00:28<00:17,  1.99it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.900:  63%|██████▎   | 57/91 [00:28<00:16,  2.03it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.899:  63%|██████▎   | 57/91 [00:28<00:17,  2.00it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.899:  64%|██████▎   | 58/91 [00:28<00:16,  2.03it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.899:  64%|██████▎   | 58/91 [00:28<00:16,  2.00it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.899:  65%|██████▍   | 59/91 [00:28<00:15,  2.04it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.898:  65%|██████▍   | 59/91 [00:29<00:15,  2.01it/s]
Epoch 5, validation pixAcc: 0.976, mIoU: 0.898:  66%|██████▌   | 60/91 [00:29<00:15,  2.04it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.900:  66%|██████▌   | 60/91 [00:29<00:15,  2.01it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.900:  67%|██████▋   | 61/91 [00:29<00:14,  2.05it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.900:  67%|██████▋   | 61/91 [00:30<00:14,  2.02it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.900:  68%|██████▊   | 62/91 [00:30<00:14,  2.05it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.901:  68%|██████▊   | 62/91 [00:30<00:14,  2.02it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.901:  69%|██████▉   | 63/91 [00:30<00:13,  2.06it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.901:  69%|██████▉   | 63/91 [00:31<00:13,  2.03it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.901:  70%|███████   | 64/91 [00:31<00:13,  2.06it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.902:  70%|███████   | 64/91 [00:31<00:13,  2.03it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.902:  71%|███████▏  | 65/91 [00:31<00:12,  2.07it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.902:  71%|███████▏  | 65/91 [00:31<00:12,  2.04it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.902:  73%|███████▎  | 66/91 [00:31<00:12,  2.07it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.902:  73%|███████▎  | 66/91 [00:32<00:12,  2.04it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.902:  74%|███████▎  | 67/91 [00:32<00:11,  2.08it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.902:  74%|███████▎  | 67/91 [00:32<00:11,  2.05it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.902:  75%|███████▍  | 68/91 [00:32<00:11,  2.08it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.902:  75%|███████▍  | 68/91 [00:33<00:11,  2.05it/s]
Epoch 5, validation pixAcc: 0.977, mIoU: 0.902:  76%|███████▌  | 69/91 [00:33<00:10,  2.08it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.903:  76%|███████▌  | 69/91 [00:33<00:10,  2.06it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.903:  77%|███████▋  | 70/91 [00:33<00:10,  2.09it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.903:  77%|███████▋  | 70/91 [00:33<00:10,  2.06it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.903:  78%|███████▊  | 71/91 [00:33<00:09,  2.09it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.903:  78%|███████▊  | 71/91 [00:34<00:09,  2.07it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.903:  79%|███████▉  | 72/91 [00:34<00:09,  2.10it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.903:  79%|███████▉  | 72/91 [00:34<00:09,  2.07it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.903:  80%|████████  | 73/91 [00:34<00:08,  2.10it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.903:  80%|████████  | 73/91 [00:35<00:08,  2.07it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.903:  81%|████████▏ | 74/91 [00:35<00:08,  2.10it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.904:  81%|████████▏ | 74/91 [00:35<00:08,  2.08it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.904:  82%|████████▏ | 75/91 [00:35<00:07,  2.10it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.904:  82%|████████▏ | 75/91 [00:36<00:07,  2.08it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.904:  84%|████████▎ | 76/91 [00:36<00:07,  2.11it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.904:  84%|████████▎ | 76/91 [00:36<00:07,  2.08it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.904:  85%|████████▍ | 77/91 [00:36<00:06,  2.11it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.904:  85%|████████▍ | 77/91 [00:36<00:06,  2.08it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.904:  86%|████████▌ | 78/91 [00:36<00:06,  2.11it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.904:  86%|████████▌ | 78/91 [00:37<00:06,  2.09it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.904:  87%|████████▋ | 79/91 [00:37<00:05,  2.11it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.905:  87%|████████▋ | 79/91 [00:37<00:05,  2.09it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.905:  88%|████████▊ | 80/91 [00:37<00:05,  2.12it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.905:  88%|████████▊ | 80/91 [00:38<00:05,  2.09it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.905:  89%|████████▉ | 81/91 [00:38<00:04,  2.12it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.906:  89%|████████▉ | 81/91 [00:38<00:04,  2.10it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.906:  90%|█████████ | 82/91 [00:38<00:04,  2.12it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.906:  90%|█████████ | 82/91 [00:39<00:04,  2.10it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.906:  91%|█████████ | 83/91 [00:39<00:03,  2.13it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.906:  91%|█████████ | 83/91 [00:39<00:03,  2.11it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.906:  92%|█████████▏| 84/91 [00:39<00:03,  2.13it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.906:  92%|█████████▏| 84/91 [00:39<00:03,  2.11it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.906:  93%|█████████▎| 85/91 [00:39<00:02,  2.14it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.906:  93%|█████████▎| 85/91 [00:40<00:02,  2.11it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.906:  95%|█████████▍| 86/91 [00:40<00:02,  2.14it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.906:  95%|█████████▍| 86/91 [00:40<00:02,  2.12it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.906:  96%|█████████▌| 87/91 [00:40<00:01,  2.14it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.906:  96%|█████████▌| 87/91 [00:41<00:01,  2.12it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.906:  97%|█████████▋| 88/91 [00:41<00:01,  2.14it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.905:  97%|█████████▋| 88/91 [00:41<00:01,  2.12it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.905:  98%|█████████▊| 89/91 [00:41<00:00,  2.15it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.905:  98%|█████████▊| 89/91 [00:41<00:00,  2.13it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.905:  99%|█████████▉| 90/91 [00:41<00:00,  2.15it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.905:  99%|█████████▉| 90/91 [00:42<00:00,  2.13it/s]
Epoch 5, validation pixAcc: 0.978, mIoU: 0.905: 100%|██████████| 91/91 [00:42<00:00,  2.15it/s]

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Epoch 6, training loss 0.055:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 6, training loss 0.055:   1%|          | 1/182 [00:05<15:57,  5.29s/it]
Epoch 6, training loss 0.063:   1%|          | 1/182 [00:06<18:27,  6.12s/it]
Epoch 6, training loss 0.063:   1%|          | 2/182 [00:06<09:55,  3.31s/it]
Epoch 6, training loss 0.092:   1%|          | 2/182 [00:07<11:02,  3.68s/it]
Epoch 6, training loss 0.092:   2%|▏         | 3/182 [00:07<07:49,  2.62s/it]
Epoch 6, training loss 0.077:   2%|▏         | 3/182 [00:08<08:27,  2.84s/it]
Epoch 6, training loss 0.077:   2%|▏         | 4/182 [00:08<06:40,  2.25s/it]
Epoch 6, training loss 0.085:   2%|▏         | 4/182 [00:09<07:08,  2.41s/it]
Epoch 6, training loss 0.085:   3%|▎         | 5/182 [00:10<05:57,  2.02s/it]
Epoch 6, training loss 0.077:   3%|▎         | 5/182 [00:10<06:18,  2.14s/it]
Epoch 6, training loss 0.077:   3%|▎         | 6/182 [00:11<05:28,  1.87s/it]
Epoch 6, training loss 0.069:   3%|▎         | 6/182 [00:11<05:45,  1.96s/it]
Epoch 6, training loss 0.069:   4%|▍         | 7/182 [00:12<05:07,  1.76s/it]
Epoch 6, training loss 0.070:   4%|▍         | 7/182 [00:12<05:23,  1.85s/it]
Epoch 6, training loss 0.070:   4%|▍         | 8/182 [00:13<04:52,  1.68s/it]
Epoch 6, training loss 0.145:   4%|▍         | 8/182 [00:14<05:04,  1.75s/it]
Epoch 6, training loss 0.145:   5%|▍         | 9/182 [00:14<04:39,  1.61s/it]
Epoch 6, training loss 0.134:   5%|▍         | 9/182 [00:15<04:52,  1.69s/it]
Epoch 6, training loss 0.134:   5%|▌         | 10/182 [00:15<04:31,  1.58s/it]
Epoch 6, training loss 0.145:   5%|▌         | 10/182 [00:16<04:41,  1.64s/it]
Epoch 6, training loss 0.145:   6%|▌         | 11/182 [00:16<04:22,  1.53s/it]
Epoch 6, training loss 0.137:   6%|▌         | 11/182 [00:17<04:32,  1.59s/it]
Epoch 6, training loss 0.137:   7%|▋         | 12/182 [00:18<04:15,  1.50s/it]
Epoch 6, training loss 0.143:   7%|▋         | 12/182 [00:18<04:24,  1.56s/it]
Epoch 6, training loss 0.143:   7%|▋         | 13/182 [00:19<04:09,  1.48s/it]
Epoch 6, training loss 0.141:   7%|▋         | 13/182 [00:19<04:17,  1.53s/it]
Epoch 6, training loss 0.141:   8%|▊         | 14/182 [00:20<04:04,  1.45s/it]
Epoch 6, training loss 0.140:   8%|▊         | 14/182 [00:21<04:12,  1.50s/it]
Epoch 6, training loss 0.140:   8%|▊         | 15/182 [00:21<03:59,  1.44s/it]
Epoch 6, training loss 0.134:   8%|▊         | 15/182 [00:22<04:07,  1.48s/it]
Epoch 6, training loss 0.134:   9%|▉         | 16/182 [00:22<03:55,  1.42s/it]
Epoch 6, training loss 0.137:   9%|▉         | 16/182 [00:23<04:02,  1.46s/it]
Epoch 6, training loss 0.137:   9%|▉         | 17/182 [00:23<03:51,  1.40s/it]
Epoch 6, training loss 0.139:   9%|▉         | 17/182 [00:24<03:57,  1.44s/it]
Epoch 6, training loss 0.139:  10%|▉         | 18/182 [00:25<03:47,  1.39s/it]
Epoch 6, training loss 0.141:  10%|▉         | 18/182 [00:25<03:54,  1.43s/it]
Epoch 6, training loss 0.141:  10%|█         | 19/182 [00:26<03:45,  1.38s/it]
Epoch 6, training loss 0.142:  10%|█         | 19/182 [00:26<03:51,  1.42s/it]
Epoch 6, training loss 0.142:  11%|█         | 20/182 [00:27<03:42,  1.37s/it]
Epoch 6, training loss 0.148:  11%|█         | 20/182 [00:28<03:48,  1.41s/it]
Epoch 6, training loss 0.148:  12%|█▏        | 21/182 [00:28<03:40,  1.37s/it]
Epoch 6, training loss 0.144:  12%|█▏        | 21/182 [00:29<03:45,  1.40s/it]
Epoch 6, training loss 0.144:  12%|█▏        | 22/182 [00:29<03:37,  1.36s/it]
Epoch 6, training loss 0.141:  12%|█▏        | 22/182 [00:30<03:42,  1.39s/it]
Epoch 6, training loss 0.141:  13%|█▎        | 23/182 [00:31<03:35,  1.35s/it]
Epoch 6, training loss 0.136:  13%|█▎        | 23/182 [00:31<03:39,  1.38s/it]
Epoch 6, training loss 0.136:  13%|█▎        | 24/182 [00:32<03:32,  1.34s/it]
Epoch 6, training loss 0.132:  13%|█▎        | 24/182 [00:32<03:37,  1.37s/it]
Epoch 6, training loss 0.132:  14%|█▎        | 25/182 [00:33<03:30,  1.34s/it]
Epoch 6, training loss 0.133:  14%|█▎        | 25/182 [00:34<03:34,  1.37s/it]
Epoch 6, training loss 0.133:  14%|█▍        | 26/182 [00:34<03:27,  1.33s/it]
Epoch 6, training loss 0.132:  14%|█▍        | 26/182 [00:35<03:32,  1.36s/it]
Epoch 6, training loss 0.132:  15%|█▍        | 27/182 [00:35<03:25,  1.33s/it]
Epoch 6, training loss 0.137:  15%|█▍        | 27/182 [00:36<03:29,  1.35s/it]
Epoch 6, training loss 0.137:  15%|█▌        | 28/182 [00:36<03:23,  1.32s/it]
Epoch 6, training loss 0.147:  15%|█▌        | 28/182 [00:37<03:26,  1.34s/it]
Epoch 6, training loss 0.147:  16%|█▌        | 29/182 [00:38<03:20,  1.31s/it]
Epoch 6, training loss 0.144:  16%|█▌        | 29/182 [00:38<03:24,  1.33s/it]
Epoch 6, training loss 0.144:  16%|█▋        | 30/182 [00:39<03:18,  1.31s/it]
Epoch 6, training loss 0.144:  16%|█▋        | 30/182 [00:39<03:21,  1.33s/it]
Epoch 6, training loss 0.144:  17%|█▋        | 31/182 [00:40<03:16,  1.30s/it]
Epoch 6, training loss 0.142:  17%|█▋        | 31/182 [00:40<03:19,  1.32s/it]
Epoch 6, training loss 0.142:  18%|█▊        | 32/182 [00:41<03:14,  1.29s/it]
Epoch 6, training loss 0.138:  18%|█▊        | 32/182 [00:42<03:17,  1.31s/it]
Epoch 6, training loss 0.138:  18%|█▊        | 33/182 [00:42<03:12,  1.29s/it]
Epoch 6, training loss 0.138:  18%|█▊        | 33/182 [00:43<03:15,  1.31s/it]
Epoch 6, training loss 0.138:  19%|█▊        | 34/182 [00:43<03:10,  1.29s/it]
Epoch 6, training loss 0.135:  19%|█▊        | 34/182 [00:44<03:12,  1.30s/it]
Epoch 6, training loss 0.135:  19%|█▉        | 35/182 [00:44<03:08,  1.28s/it]
Epoch 6, training loss 0.135:  19%|█▉        | 35/182 [00:45<03:10,  1.30s/it]
Epoch 6, training loss 0.135:  20%|█▉        | 36/182 [00:45<03:05,  1.27s/it]
Epoch 6, training loss 0.135:  20%|█▉        | 36/182 [00:46<03:09,  1.30s/it]
Epoch 6, training loss 0.135:  20%|██        | 37/182 [00:47<03:04,  1.27s/it]
Epoch 6, training loss 0.134:  20%|██        | 37/182 [00:47<03:07,  1.29s/it]
Epoch 6, training loss 0.134:  21%|██        | 38/182 [00:48<03:02,  1.27s/it]
Epoch 6, training loss 0.142:  21%|██        | 38/182 [00:48<03:05,  1.29s/it]
Epoch 6, training loss 0.142:  21%|██▏       | 39/182 [00:49<03:01,  1.27s/it]
Epoch 6, training loss 0.140:  21%|██▏       | 39/182 [00:50<03:03,  1.28s/it]
Epoch 6, training loss 0.140:  22%|██▏       | 40/182 [00:50<02:59,  1.26s/it]
Epoch 6, training loss 0.138:  22%|██▏       | 40/182 [00:51<03:01,  1.28s/it]
Epoch 6, training loss 0.138:  23%|██▎       | 41/182 [00:51<02:57,  1.26s/it]
Epoch 6, training loss 0.137:  23%|██▎       | 41/182 [00:52<02:59,  1.28s/it]
Epoch 6, training loss 0.137:  23%|██▎       | 42/182 [00:52<02:56,  1.26s/it]
Epoch 6, training loss 0.135:  23%|██▎       | 42/182 [00:53<02:58,  1.27s/it]
Epoch 6, training loss 0.135:  24%|██▎       | 43/182 [00:53<02:54,  1.26s/it]
Epoch 6, training loss 0.179:  24%|██▎       | 43/182 [00:54<02:56,  1.27s/it]
Epoch 6, training loss 0.179:  24%|██▍       | 44/182 [00:55<02:52,  1.25s/it]
Epoch 6, training loss 0.183:  24%|██▍       | 44/182 [00:55<02:55,  1.27s/it]
Epoch 6, training loss 0.183:  25%|██▍       | 45/182 [00:56<02:51,  1.25s/it]
Epoch 6, training loss 0.186:  25%|██▍       | 45/182 [00:56<02:53,  1.27s/it]
Epoch 6, training loss 0.186:  25%|██▌       | 46/182 [00:57<02:49,  1.25s/it]
Epoch 6, training loss 0.184:  25%|██▌       | 46/182 [00:58<02:51,  1.26s/it]
Epoch 6, training loss 0.184:  26%|██▌       | 47/182 [00:58<02:48,  1.25s/it]
Epoch 6, training loss 0.181:  26%|██▌       | 47/182 [00:59<02:50,  1.26s/it]
Epoch 6, training loss 0.181:  26%|██▋       | 48/182 [00:59<02:46,  1.25s/it]
Epoch 6, training loss 0.178:  26%|██▋       | 48/182 [01:00<02:48,  1.26s/it]
Epoch 6, training loss 0.178:  27%|██▋       | 49/182 [01:00<02:45,  1.24s/it]
Epoch 6, training loss 0.188:  27%|██▋       | 49/182 [01:01<02:47,  1.26s/it]
Epoch 6, training loss 0.188:  27%|██▋       | 50/182 [01:02<02:43,  1.24s/it]
Epoch 6, training loss 0.186:  27%|██▋       | 50/182 [01:02<02:45,  1.25s/it]
Epoch 6, training loss 0.186:  28%|██▊       | 51/182 [01:03<02:42,  1.24s/it]
Epoch 6, training loss 0.190:  28%|██▊       | 51/182 [01:03<02:43,  1.25s/it]
Epoch 6, training loss 0.190:  29%|██▊       | 52/182 [01:04<02:40,  1.23s/it]
Epoch 6, training loss 0.189:  29%|██▊       | 52/182 [01:04<02:42,  1.25s/it]
Epoch 6, training loss 0.189:  29%|██▉       | 53/182 [01:05<02:39,  1.23s/it]
Epoch 6, training loss 0.187:  29%|██▉       | 53/182 [01:06<02:40,  1.25s/it]
Epoch 6, training loss 0.187:  30%|██▉       | 54/182 [01:06<02:37,  1.23s/it]
Epoch 6, training loss 0.186:  30%|██▉       | 54/182 [01:07<02:39,  1.24s/it]
Epoch 6, training loss 0.186:  30%|███       | 55/182 [01:07<02:36,  1.23s/it]
Epoch 6, training loss 0.184:  30%|███       | 55/182 [01:08<02:38,  1.24s/it]
Epoch 6, training loss 0.184:  31%|███       | 56/182 [01:08<02:35,  1.23s/it]
Epoch 6, training loss 0.182:  31%|███       | 56/182 [01:09<02:36,  1.24s/it]
Epoch 6, training loss 0.182:  31%|███▏      | 57/182 [01:10<02:33,  1.23s/it]
Epoch 6, training loss 0.181:  31%|███▏      | 57/182 [01:10<02:35,  1.24s/it]
Epoch 6, training loss 0.181:  32%|███▏      | 58/182 [01:11<02:32,  1.23s/it]
Epoch 6, training loss 0.180:  32%|███▏      | 58/182 [01:11<02:33,  1.24s/it]
Epoch 6, training loss 0.180:  32%|███▏      | 59/182 [01:12<02:30,  1.23s/it]
Epoch 6, training loss 0.177:  32%|███▏      | 59/182 [01:12<02:32,  1.24s/it]
Epoch 6, training loss 0.177:  33%|███▎      | 60/182 [01:13<02:29,  1.22s/it]
Epoch 6, training loss 0.175:  33%|███▎      | 60/182 [01:14<02:30,  1.24s/it]
Epoch 6, training loss 0.175:  34%|███▎      | 61/182 [01:14<02:27,  1.22s/it]
Epoch 6, training loss 0.173:  34%|███▎      | 61/182 [01:15<02:29,  1.23s/it]
Epoch 6, training loss 0.173:  34%|███▍      | 62/182 [01:15<02:26,  1.22s/it]
Epoch 6, training loss 0.172:  34%|███▍      | 62/182 [01:16<02:27,  1.23s/it]
Epoch 6, training loss 0.172:  35%|███▍      | 63/182 [01:16<02:25,  1.22s/it]
Epoch 6, training loss 0.170:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 6, training loss 0.170:  35%|███▌      | 64/182 [01:18<02:23,  1.22s/it]
Epoch 6, training loss 0.168:  35%|███▌      | 64/182 [01:18<02:25,  1.23s/it]
Epoch 6, training loss 0.168:  36%|███▌      | 65/182 [01:19<02:22,  1.22s/it]
Epoch 6, training loss 0.168:  36%|███▌      | 65/182 [01:19<02:23,  1.23s/it]
Epoch 6, training loss 0.168:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 6, training loss 0.168:  36%|███▋      | 66/182 [01:21<02:22,  1.23s/it]
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Epoch 6, training loss 0.168:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 6, training loss 0.168:  37%|███▋      | 68/182 [01:22<02:18,  1.22s/it]
Epoch 6, training loss 0.167:  37%|███▋      | 68/182 [01:23<02:20,  1.23s/it]
Epoch 6, training loss 0.167:  38%|███▊      | 69/182 [01:24<02:17,  1.22s/it]
Epoch 6, training loss 0.166:  38%|███▊      | 69/182 [01:24<02:18,  1.23s/it]
Epoch 6, training loss 0.166:  38%|███▊      | 70/182 [01:25<02:16,  1.22s/it]
Epoch 6, training loss 0.165:  38%|███▊      | 70/182 [01:26<02:17,  1.23s/it]
Epoch 6, training loss 0.165:  39%|███▉      | 71/182 [01:26<02:15,  1.22s/it]
Epoch 6, training loss 0.163:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 6, training loss 0.163:  40%|███▉      | 72/182 [01:27<02:13,  1.22s/it]
Epoch 6, training loss 0.162:  40%|███▉      | 72/182 [01:28<02:14,  1.23s/it]
Epoch 6, training loss 0.162:  40%|████      | 73/182 [01:28<02:12,  1.22s/it]
Epoch 6, training loss 0.160:  40%|████      | 73/182 [01:29<02:13,  1.23s/it]
Epoch 6, training loss 0.160:  41%|████      | 74/182 [01:30<02:11,  1.22s/it]
Epoch 6, training loss 0.158:  41%|████      | 74/182 [01:30<02:12,  1.23s/it]
Epoch 6, training loss 0.158:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 6, training loss 0.157:  41%|████      | 75/182 [01:31<02:11,  1.23s/it]
Epoch 6, training loss 0.157:  42%|████▏     | 76/182 [01:32<02:08,  1.22s/it]
Epoch 6, training loss 0.155:  42%|████▏     | 76/182 [01:33<02:09,  1.22s/it]
Epoch 6, training loss 0.155:  42%|████▏     | 77/182 [01:33<02:07,  1.22s/it]
Epoch 6, training loss 0.154:  42%|████▏     | 77/182 [01:34<02:08,  1.22s/it]
Epoch 6, training loss 0.154:  43%|████▎     | 78/182 [01:34<02:06,  1.22s/it]
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Epoch 6, training loss 0.155:  43%|████▎     | 79/182 [01:35<02:05,  1.21s/it]
Epoch 6, training loss 0.160:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
Epoch 6, training loss 0.160:  44%|████▍     | 80/182 [01:37<02:03,  1.21s/it]
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Epoch 6, training loss 0.160:  45%|████▍     | 81/182 [01:38<02:02,  1.21s/it]
Epoch 6, training loss 0.160:  45%|████▍     | 81/182 [01:38<02:03,  1.22s/it]
Epoch 6, training loss 0.160:  45%|████▌     | 82/182 [01:39<02:01,  1.21s/it]
Epoch 6, training loss 0.159:  45%|████▌     | 82/182 [01:39<02:01,  1.22s/it]
Epoch 6, training loss 0.159:  46%|████▌     | 83/182 [01:40<01:59,  1.21s/it]
Epoch 6, training loss 0.158:  46%|████▌     | 83/182 [01:41<02:00,  1.22s/it]
Epoch 6, training loss 0.158:  46%|████▌     | 84/182 [01:41<01:58,  1.21s/it]
Epoch 6, training loss 0.157:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 6, training loss 0.157:  47%|████▋     | 85/182 [01:42<01:57,  1.21s/it]
Epoch 6, training loss 0.156:  47%|████▋     | 85/182 [01:43<01:58,  1.22s/it]
Epoch 6, training loss 0.156:  47%|████▋     | 86/182 [01:43<01:55,  1.21s/it]
Epoch 6, training loss 0.155:  47%|████▋     | 86/182 [01:44<01:56,  1.22s/it]
Epoch 6, training loss 0.155:  48%|████▊     | 87/182 [01:44<01:54,  1.21s/it]
Epoch 6, training loss 0.154:  48%|████▊     | 87/182 [01:45<01:55,  1.21s/it]
Epoch 6, training loss 0.154:  48%|████▊     | 88/182 [01:46<01:53,  1.21s/it]
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Epoch 6, training loss 0.155:  49%|████▉     | 89/182 [01:47<01:52,  1.20s/it]
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Epoch 6, training loss 0.155:  49%|████▉     | 90/182 [01:48<01:50,  1.20s/it]
Epoch 6, training loss 0.154:  49%|████▉     | 90/182 [01:49<01:51,  1.21s/it]
Epoch 6, training loss 0.154:  50%|█████     | 91/182 [01:49<01:49,  1.20s/it]
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Epoch 6, training loss 0.157:  51%|█████     | 92/182 [01:50<01:48,  1.20s/it]
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Epoch 6, training loss 0.155:  52%|█████▏    | 95/182 [01:54<01:44,  1.20s/it]
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Epoch 6, training loss 0.154:  53%|█████▎    | 96/182 [01:55<01:43,  1.20s/it]
Epoch 6, training loss 0.156:  53%|█████▎    | 96/182 [01:55<01:43,  1.21s/it]
Epoch 6, training loss 0.156:  53%|█████▎    | 97/182 [01:56<01:41,  1.20s/it]
Epoch 6, training loss 0.155:  53%|█████▎    | 97/182 [01:56<01:42,  1.21s/it]
Epoch 6, training loss 0.155:  54%|█████▍    | 98/182 [01:57<01:40,  1.20s/it]
Epoch 6, training loss 0.154:  54%|█████▍    | 98/182 [01:58<01:41,  1.20s/it]
Epoch 6, training loss 0.154:  54%|█████▍    | 99/182 [01:58<01:39,  1.20s/it]
Epoch 6, training loss 0.154:  54%|█████▍    | 99/182 [01:59<01:39,  1.20s/it]
Epoch 6, training loss 0.154:  55%|█████▍    | 100/182 [01:59<01:38,  1.20s/it]
Epoch 6, training loss 0.153:  55%|█████▍    | 100/182 [02:00<01:38,  1.20s/it]
Epoch 6, training loss 0.153:  55%|█████▌    | 101/182 [02:00<01:36,  1.20s/it]
Epoch 6, training loss 0.153:  55%|█████▌    | 101/182 [02:01<01:37,  1.20s/it]
Epoch 6, training loss 0.153:  56%|█████▌    | 102/182 [02:01<01:35,  1.20s/it]
Epoch 6, training loss 0.152:  56%|█████▌    | 102/182 [02:02<01:36,  1.20s/it]
Epoch 6, training loss 0.152:  57%|█████▋    | 103/182 [02:03<01:34,  1.19s/it]
Epoch 6, training loss 0.151:  57%|█████▋    | 103/182 [02:03<01:34,  1.20s/it]
Epoch 6, training loss 0.151:  57%|█████▋    | 104/182 [02:04<01:33,  1.19s/it]
Epoch 6, training loss 0.152:  57%|█████▋    | 104/182 [02:04<01:33,  1.20s/it]
Epoch 6, training loss 0.152:  58%|█████▊    | 105/182 [02:05<01:31,  1.19s/it]
Epoch 6, training loss 0.151:  58%|█████▊    | 105/182 [02:06<01:32,  1.20s/it]
Epoch 6, training loss 0.151:  58%|█████▊    | 106/182 [02:06<01:30,  1.19s/it]
Epoch 6, training loss 0.150:  58%|█████▊    | 106/182 [02:07<01:31,  1.20s/it]
Epoch 6, training loss 0.150:  59%|█████▉    | 107/182 [02:07<01:29,  1.19s/it]
Epoch 6, training loss 0.149:  59%|█████▉    | 107/182 [02:08<01:29,  1.20s/it]
Epoch 6, training loss 0.149:  59%|█████▉    | 108/182 [02:08<01:28,  1.19s/it]
Epoch 6, training loss 0.148:  59%|█████▉    | 108/182 [02:09<01:28,  1.20s/it]
Epoch 6, training loss 0.148:  60%|█████▉    | 109/182 [02:10<01:27,  1.19s/it]
Epoch 6, training loss 0.148:  60%|█████▉    | 109/182 [02:10<01:27,  1.20s/it]
Epoch 6, training loss 0.148:  60%|██████    | 110/182 [02:11<01:25,  1.19s/it]
Epoch 6, training loss 0.154:  60%|██████    | 110/182 [02:11<01:26,  1.20s/it]
Epoch 6, training loss 0.154:  61%|██████    | 111/182 [02:12<01:24,  1.19s/it]
Epoch 6, training loss 0.154:  61%|██████    | 111/182 [02:13<01:25,  1.20s/it]
Epoch 6, training loss 0.154:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 6, training loss 0.154:  62%|██████▏   | 112/182 [02:14<01:23,  1.20s/it]
Epoch 6, training loss 0.154:  62%|██████▏   | 113/182 [02:14<01:22,  1.19s/it]
Epoch 6, training loss 0.153:  62%|██████▏   | 113/182 [02:15<01:22,  1.20s/it]
Epoch 6, training loss 0.153:  63%|██████▎   | 114/182 [02:15<01:21,  1.19s/it]
Epoch 6, training loss 0.154:  63%|██████▎   | 114/182 [02:16<01:21,  1.20s/it]
Epoch 6, training loss 0.154:  63%|██████▎   | 115/182 [02:17<01:19,  1.19s/it]
Epoch 6, training loss 0.154:  63%|██████▎   | 115/182 [02:17<01:20,  1.20s/it]
Epoch 6, training loss 0.154:  64%|██████▎   | 116/182 [02:18<01:18,  1.19s/it]
Epoch 6, training loss 0.159:  64%|██████▎   | 116/182 [02:18<01:18,  1.20s/it]
Epoch 6, training loss 0.159:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 6, training loss 0.159:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 6, training loss 0.159:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 6, training loss 0.158:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 6, training loss 0.158:  65%|██████▌   | 119/182 [02:21<01:14,  1.19s/it]
Epoch 6, training loss 0.157:  65%|██████▌   | 119/182 [02:22<01:15,  1.19s/it]
Epoch 6, training loss 0.157:  66%|██████▌   | 120/182 [02:22<01:13,  1.19s/it]
Epoch 6, training loss 0.157:  66%|██████▌   | 120/182 [02:23<01:13,  1.19s/it]
Epoch 6, training loss 0.157:  66%|██████▋   | 121/182 [02:23<01:12,  1.19s/it]
Epoch 6, training loss 0.156:  66%|██████▋   | 121/182 [02:24<01:12,  1.19s/it]
Epoch 6, training loss 0.156:  67%|██████▋   | 122/182 [02:24<01:11,  1.19s/it]
Epoch 6, training loss 0.156:  67%|██████▋   | 122/182 [02:25<01:11,  1.19s/it]
Epoch 6, training loss 0.156:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 6, training loss 0.155:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 6, training loss 0.155:  68%|██████▊   | 124/182 [02:27<01:08,  1.19s/it]
Epoch 6, training loss 0.155:  68%|██████▊   | 124/182 [02:27<01:09,  1.19s/it]
Epoch 6, training loss 0.155:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 6, training loss 0.157:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 6, training loss 0.157:  69%|██████▉   | 126/182 [02:29<01:06,  1.19s/it]
Epoch 6, training loss 0.156:  69%|██████▉   | 126/182 [02:30<01:06,  1.19s/it]
Epoch 6, training loss 0.156:  70%|██████▉   | 127/182 [02:30<01:05,  1.19s/it]
Epoch 6, training loss 0.157:  70%|██████▉   | 127/182 [02:31<01:05,  1.19s/it]
Epoch 6, training loss 0.157:  70%|███████   | 128/182 [02:31<01:03,  1.18s/it]
Epoch 6, training loss 0.156:  70%|███████   | 128/182 [02:32<01:04,  1.19s/it]
Epoch 6, training loss 0.156:  71%|███████   | 129/182 [02:32<01:02,  1.18s/it]
Epoch 6, training loss 0.156:  71%|███████   | 129/182 [02:33<01:02,  1.19s/it]
Epoch 6, training loss 0.156:  71%|███████▏  | 130/182 [02:33<01:01,  1.18s/it]
Epoch 6, training loss 0.158:  71%|███████▏  | 130/182 [02:34<01:01,  1.19s/it]
Epoch 6, training loss 0.158:  72%|███████▏  | 131/182 [02:34<01:00,  1.18s/it]
Epoch 6, training loss 0.157:  72%|███████▏  | 131/182 [02:35<01:00,  1.19s/it]
Epoch 6, training loss 0.157:  73%|███████▎  | 132/182 [02:35<00:59,  1.18s/it]
Epoch 6, training loss 0.158:  73%|███████▎  | 132/182 [02:36<00:59,  1.19s/it]
Epoch 6, training loss 0.158:  73%|███████▎  | 133/182 [02:37<00:57,  1.18s/it]
Epoch 6, training loss 0.160:  73%|███████▎  | 133/182 [02:37<00:58,  1.19s/it]
Epoch 6, training loss 0.160:  74%|███████▎  | 134/182 [02:38<00:56,  1.18s/it]
Epoch 6, training loss 0.160:  74%|███████▎  | 134/182 [02:38<00:56,  1.19s/it]
Epoch 6, training loss 0.160:  74%|███████▍  | 135/182 [02:39<00:55,  1.18s/it]
Epoch 6, training loss 0.159:  74%|███████▍  | 135/182 [02:40<00:55,  1.19s/it]
Epoch 6, training loss 0.159:  75%|███████▍  | 136/182 [02:40<00:54,  1.18s/it]
Epoch 6, training loss 0.159:  75%|███████▍  | 136/182 [02:41<00:54,  1.19s/it]
Epoch 6, training loss 0.159:  75%|███████▌  | 137/182 [02:41<00:53,  1.18s/it]
Epoch 6, training loss 0.158:  75%|███████▌  | 137/182 [02:42<00:53,  1.19s/it]
Epoch 6, training loss 0.158:  76%|███████▌  | 138/182 [02:42<00:51,  1.18s/it]
Epoch 6, training loss 0.158:  76%|███████▌  | 138/182 [02:43<00:52,  1.19s/it]
Epoch 6, training loss 0.158:  76%|███████▋  | 139/182 [02:44<00:50,  1.18s/it]
Epoch 6, training loss 0.160:  76%|███████▋  | 139/182 [02:44<00:50,  1.19s/it]
Epoch 6, training loss 0.160:  77%|███████▋  | 140/182 [02:45<00:49,  1.18s/it]
Epoch 6, training loss 0.160:  77%|███████▋  | 140/182 [02:45<00:49,  1.19s/it]
Epoch 6, training loss 0.160:  77%|███████▋  | 141/182 [02:46<00:48,  1.18s/it]
Epoch 6, training loss 0.159:  77%|███████▋  | 141/182 [02:47<00:48,  1.19s/it]
Epoch 6, training loss 0.159:  78%|███████▊  | 142/182 [02:47<00:47,  1.18s/it]
Epoch 6, training loss 0.158:  78%|███████▊  | 142/182 [02:48<00:47,  1.18s/it]
Epoch 6, training loss 0.158:  79%|███████▊  | 143/182 [02:48<00:46,  1.18s/it]
Epoch 6, training loss 0.158:  79%|███████▊  | 143/182 [02:49<00:46,  1.18s/it]
Epoch 6, training loss 0.158:  79%|███████▉  | 144/182 [02:49<00:44,  1.18s/it]
Epoch 6, training loss 0.157:  79%|███████▉  | 144/182 [02:50<00:44,  1.18s/it]
Epoch 6, training loss 0.157:  80%|███████▉  | 145/182 [02:51<00:43,  1.18s/it]
Epoch 6, training loss 0.157:  80%|███████▉  | 145/182 [02:51<00:43,  1.18s/it]
Epoch 6, training loss 0.157:  80%|████████  | 146/182 [02:52<00:42,  1.18s/it]
Epoch 6, training loss 0.157:  80%|████████  | 146/182 [02:52<00:42,  1.18s/it]
Epoch 6, training loss 0.157:  81%|████████  | 147/182 [02:53<00:41,  1.18s/it]
Epoch 6, training loss 0.156:  81%|████████  | 147/182 [02:54<00:41,  1.18s/it]
Epoch 6, training loss 0.156:  81%|████████▏ | 148/182 [02:54<00:40,  1.18s/it]
Epoch 6, training loss 0.156:  81%|████████▏ | 148/182 [02:55<00:40,  1.18s/it]
Epoch 6, training loss 0.156:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 6, training loss 0.157:  82%|████████▏ | 149/182 [02:56<00:39,  1.18s/it]
Epoch 6, training loss 0.157:  82%|████████▏ | 150/182 [02:56<00:37,  1.18s/it]
Epoch 6, training loss 0.158:  82%|████████▏ | 150/182 [02:57<00:37,  1.18s/it]
Epoch 6, training loss 0.158:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 6, training loss 0.157:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 6, training loss 0.157:  84%|████████▎ | 152/182 [02:59<00:35,  1.18s/it]
Epoch 6, training loss 0.157:  84%|████████▎ | 152/182 [02:59<00:35,  1.18s/it]
Epoch 6, training loss 0.157:  84%|████████▍ | 153/182 [03:00<00:34,  1.18s/it]
Epoch 6, training loss 0.156:  84%|████████▍ | 153/182 [03:01<00:34,  1.18s/it]
Epoch 6, training loss 0.156:  85%|████████▍ | 154/182 [03:01<00:33,  1.18s/it]
Epoch 6, training loss 0.156:  85%|████████▍ | 154/182 [03:02<00:33,  1.18s/it]
Epoch 6, training loss 0.156:  85%|████████▌ | 155/182 [03:02<00:31,  1.18s/it]
Epoch 6, training loss 0.155:  85%|████████▌ | 155/182 [03:03<00:31,  1.18s/it]
Epoch 6, training loss 0.155:  86%|████████▌ | 156/182 [03:03<00:30,  1.18s/it]
Epoch 6, training loss 0.154:  86%|████████▌ | 156/182 [03:04<00:30,  1.18s/it]
Epoch 6, training loss 0.154:  86%|████████▋ | 157/182 [03:05<00:29,  1.18s/it]
Epoch 6, training loss 0.154:  86%|████████▋ | 157/182 [03:05<00:29,  1.18s/it]
Epoch 6, training loss 0.154:  87%|████████▋ | 158/182 [03:06<00:28,  1.18s/it]
Epoch 6, training loss 0.153:  87%|████████▋ | 158/182 [03:06<00:28,  1.18s/it]
Epoch 6, training loss 0.153:  87%|████████▋ | 159/182 [03:07<00:27,  1.18s/it]
Epoch 6, training loss 0.153:  87%|████████▋ | 159/182 [03:08<00:27,  1.18s/it]
Epoch 6, training loss 0.153:  88%|████████▊ | 160/182 [03:08<00:25,  1.18s/it]
Epoch 6, training loss 0.153:  88%|████████▊ | 160/182 [03:09<00:26,  1.18s/it]
Epoch 6, training loss 0.153:  88%|████████▊ | 161/182 [03:09<00:24,  1.18s/it]
Epoch 6, training loss 0.153:  88%|████████▊ | 161/182 [03:10<00:24,  1.18s/it]
Epoch 6, training loss 0.153:  89%|████████▉ | 162/182 [03:10<00:23,  1.18s/it]
Epoch 6, training loss 0.153:  89%|████████▉ | 162/182 [03:11<00:23,  1.18s/it]
Epoch 6, training loss 0.153:  90%|████████▉ | 163/182 [03:11<00:22,  1.18s/it]
Epoch 6, training loss 0.156:  90%|████████▉ | 163/182 [03:12<00:22,  1.18s/it]
Epoch 6, training loss 0.156:  90%|█████████ | 164/182 [03:13<00:21,  1.18s/it]
Epoch 6, training loss 0.155:  90%|█████████ | 164/182 [03:13<00:21,  1.18s/it]
Epoch 6, training loss 0.155:  91%|█████████ | 165/182 [03:14<00:20,  1.18s/it]
Epoch 6, training loss 0.155:  91%|█████████ | 165/182 [03:14<00:20,  1.18s/it]
Epoch 6, training loss 0.155:  91%|█████████ | 166/182 [03:15<00:18,  1.18s/it]
Epoch 6, training loss 0.154:  91%|█████████ | 166/182 [03:16<00:18,  1.18s/it]
Epoch 6, training loss 0.154:  92%|█████████▏| 167/182 [03:16<00:17,  1.18s/it]
Epoch 6, training loss 0.154:  92%|█████████▏| 167/182 [03:17<00:17,  1.18s/it]
Epoch 6, training loss 0.154:  92%|█████████▏| 168/182 [03:18<00:16,  1.18s/it]
Epoch 6, training loss 0.153:  92%|█████████▏| 168/182 [03:18<00:16,  1.18s/it]
Epoch 6, training loss 0.153:  93%|█████████▎| 169/182 [03:19<00:15,  1.18s/it]
Epoch 6, training loss 0.154:  93%|█████████▎| 169/182 [03:19<00:15,  1.18s/it]
Epoch 6, training loss 0.154:  93%|█████████▎| 170/182 [03:20<00:14,  1.18s/it]
Epoch 6, training loss 0.153:  93%|█████████▎| 170/182 [03:21<00:14,  1.18s/it]
Epoch 6, training loss 0.153:  94%|█████████▍| 171/182 [03:21<00:12,  1.18s/it]
Epoch 6, training loss 0.152:  94%|█████████▍| 171/182 [03:22<00:13,  1.18s/it]
Epoch 6, training loss 0.152:  95%|█████████▍| 172/182 [03:22<00:11,  1.18s/it]
Epoch 6, training loss 0.152:  95%|█████████▍| 172/182 [03:23<00:11,  1.18s/it]
Epoch 6, training loss 0.152:  95%|█████████▌| 173/182 [03:24<00:10,  1.18s/it]
Epoch 6, training loss 0.152:  95%|█████████▌| 173/182 [03:24<00:10,  1.18s/it]
Epoch 6, training loss 0.152:  96%|█████████▌| 174/182 [03:25<00:09,  1.18s/it]
Epoch 6, training loss 0.152:  96%|█████████▌| 174/182 [03:25<00:09,  1.18s/it]
Epoch 6, training loss 0.152:  96%|█████████▌| 175/182 [03:26<00:08,  1.18s/it]
Epoch 6, training loss 0.151:  96%|█████████▌| 175/182 [03:27<00:08,  1.18s/it]
Epoch 6, training loss 0.151:  97%|█████████▋| 176/182 [03:27<00:07,  1.18s/it]
Epoch 6, training loss 0.151:  97%|█████████▋| 176/182 [03:28<00:07,  1.18s/it]
Epoch 6, training loss 0.151:  97%|█████████▋| 177/182 [03:28<00:05,  1.18s/it]
Epoch 6, training loss 0.151:  97%|█████████▋| 177/182 [03:29<00:05,  1.18s/it]
Epoch 6, training loss 0.151:  98%|█████████▊| 178/182 [03:29<00:04,  1.18s/it]
Epoch 6, training loss 0.150:  98%|█████████▊| 178/182 [03:30<00:04,  1.18s/it]
Epoch 6, training loss 0.150:  98%|█████████▊| 179/182 [03:31<00:03,  1.18s/it]
Epoch 6, training loss 0.150:  98%|█████████▊| 179/182 [03:31<00:03,  1.18s/it]
Epoch 6, training loss 0.150:  99%|█████████▉| 180/182 [03:32<00:02,  1.18s/it]
Epoch 6, training loss 0.150:  99%|█████████▉| 180/182 [03:32<00:02,  1.18s/it]
Epoch 6, training loss 0.150:  99%|█████████▉| 181/182 [03:33<00:01,  1.18s/it]
Epoch 6, training loss 0.150:  99%|█████████▉| 181/182 [03:34<00:01,  1.18s/it]
Epoch 6, training loss 0.150: 100%|██████████| 182/182 [03:34<00:00,  1.18s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.529:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.529:   1%|          | 1/90 [00:04<06:31,  4.39s/it]
Epoch 6, validation pixAcc: 0.970, mIoU: 0.695:   1%|          | 1/90 [00:04<07:10,  4.83s/it]
Epoch 6, validation pixAcc: 0.970, mIoU: 0.695:   2%|▏         | 2/90 [00:04<03:32,  2.42s/it]
Epoch 6, validation pixAcc: 0.976, mIoU: 0.774:   2%|▏         | 2/90 [00:05<03:51,  2.63s/it]
Epoch 6, validation pixAcc: 0.976, mIoU: 0.774:   3%|▎         | 3/90 [00:05<02:32,  1.75s/it]
Epoch 6, validation pixAcc: 0.975, mIoU: 0.783:   3%|▎         | 3/90 [00:05<02:45,  1.91s/it]
Epoch 6, validation pixAcc: 0.975, mIoU: 0.783:   4%|▍         | 4/90 [00:05<02:02,  1.43s/it]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.885:   4%|▍         | 4/90 [00:06<02:13,  1.55s/it]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.885:   6%|▌         | 5/90 [00:06<01:45,  1.24s/it]
Epoch 6, validation pixAcc: 0.974, mIoU: 0.889:   6%|▌         | 5/90 [00:06<01:53,  1.33s/it]
Epoch 6, validation pixAcc: 0.974, mIoU: 0.889:   7%|▋         | 6/90 [00:06<01:33,  1.11s/it]
Epoch 6, validation pixAcc: 0.970, mIoU: 0.879:   7%|▋         | 6/90 [00:07<01:38,  1.18s/it]
Epoch 6, validation pixAcc: 0.970, mIoU: 0.879:   8%|▊         | 7/90 [00:07<01:23,  1.01s/it]
Epoch 6, validation pixAcc: 0.971, mIoU: 0.876:   8%|▊         | 7/90 [00:07<01:28,  1.07s/it]
Epoch 6, validation pixAcc: 0.971, mIoU: 0.876:   9%|▉         | 8/90 [00:07<01:16,  1.07it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.877:   9%|▉         | 8/90 [00:07<01:21,  1.01it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.877:  10%|█         | 9/90 [00:07<01:11,  1.14it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.887:  10%|█         | 9/90 [00:08<01:15,  1.08it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.887:  11%|█         | 10/90 [00:08<01:06,  1.20it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.883:  11%|█         | 10/90 [00:08<01:10,  1.14it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.883:  12%|█▏        | 11/90 [00:08<01:03,  1.25it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.879:  12%|█▏        | 11/90 [00:09<01:06,  1.19it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.879:  13%|█▎        | 12/90 [00:09<01:00,  1.30it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.880:  13%|█▎        | 12/90 [00:09<01:03,  1.24it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.880:  14%|█▍        | 13/90 [00:09<00:57,  1.34it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.888:  14%|█▍        | 13/90 [00:10<01:00,  1.28it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.888:  16%|█▌        | 14/90 [00:10<00:55,  1.38it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.887:  16%|█▌        | 14/90 [00:10<00:57,  1.32it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.887:  17%|█▋        | 15/90 [00:10<00:53,  1.41it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.895:  17%|█▋        | 15/90 [00:11<00:55,  1.36it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.895:  18%|█▊        | 16/90 [00:11<00:51,  1.45it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.892:  18%|█▊        | 16/90 [00:11<00:52,  1.40it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.892:  19%|█▉        | 17/90 [00:11<00:49,  1.49it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.890:  19%|█▉        | 17/90 [00:11<00:50,  1.44it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.890:  20%|██        | 18/90 [00:11<00:47,  1.52it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.884:  20%|██        | 18/90 [00:12<00:48,  1.47it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.884:  21%|██        | 19/90 [00:12<00:45,  1.55it/s]
Epoch 6, validation pixAcc: 0.971, mIoU: 0.880:  21%|██        | 19/90 [00:12<00:47,  1.50it/s]
Epoch 6, validation pixAcc: 0.971, mIoU: 0.880:  22%|██▏       | 20/90 [00:12<00:44,  1.58it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.884:  22%|██▏       | 20/90 [00:13<00:45,  1.54it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.884:  23%|██▎       | 21/90 [00:13<00:42,  1.61it/s]
Epoch 6, validation pixAcc: 0.971, mIoU: 0.882:  23%|██▎       | 21/90 [00:13<00:44,  1.56it/s]
Epoch 6, validation pixAcc: 0.971, mIoU: 0.882:  24%|██▍       | 22/90 [00:13<00:41,  1.64it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.884:  24%|██▍       | 22/90 [00:13<00:42,  1.58it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.884:  26%|██▌       | 23/90 [00:13<00:40,  1.65it/s]
Epoch 6, validation pixAcc: 0.971, mIoU: 0.880:  26%|██▌       | 23/90 [00:14<00:41,  1.61it/s]
Epoch 6, validation pixAcc: 0.971, mIoU: 0.880:  27%|██▋       | 24/90 [00:14<00:39,  1.68it/s]
Epoch 6, validation pixAcc: 0.971, mIoU: 0.881:  27%|██▋       | 24/90 [00:14<00:40,  1.63it/s]
Epoch 6, validation pixAcc: 0.971, mIoU: 0.881:  28%|██▊       | 25/90 [00:14<00:38,  1.70it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.882:  28%|██▊       | 25/90 [00:15<00:39,  1.65it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.882:  29%|██▉       | 26/90 [00:15<00:37,  1.72it/s]
Epoch 6, validation pixAcc: 0.971, mIoU: 0.884:  29%|██▉       | 26/90 [00:15<00:38,  1.67it/s]
Epoch 6, validation pixAcc: 0.971, mIoU: 0.884:  30%|███       | 27/90 [00:15<00:36,  1.73it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.886:  30%|███       | 27/90 [00:16<00:37,  1.69it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.886:  31%|███       | 28/90 [00:16<00:35,  1.75it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.886:  31%|███       | 28/90 [00:16<00:36,  1.71it/s]
Epoch 6, validation pixAcc: 0.972, mIoU: 0.886:  32%|███▏      | 29/90 [00:16<00:34,  1.77it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.888:  32%|███▏      | 29/90 [00:16<00:35,  1.72it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.888:  33%|███▎      | 30/90 [00:16<00:33,  1.78it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.890:  33%|███▎      | 30/90 [00:17<00:34,  1.73it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.890:  34%|███▍      | 31/90 [00:17<00:32,  1.79it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.891:  34%|███▍      | 31/90 [00:17<00:33,  1.75it/s]
Epoch 6, validation pixAcc: 0.973, mIoU: 0.891:  36%|███▌      | 32/90 [00:17<00:32,  1.80it/s]
Epoch 6, validation pixAcc: 0.974, mIoU: 0.892:  36%|███▌      | 32/90 [00:18<00:33,  1.76it/s]
Epoch 6, validation pixAcc: 0.974, mIoU: 0.892:  37%|███▋      | 33/90 [00:18<00:31,  1.81it/s]
Epoch 6, validation pixAcc: 0.974, mIoU: 0.894:  37%|███▋      | 33/90 [00:18<00:32,  1.77it/s]
Epoch 6, validation pixAcc: 0.974, mIoU: 0.894:  38%|███▊      | 34/90 [00:18<00:30,  1.82it/s]
Epoch 6, validation pixAcc: 0.974, mIoU: 0.893:  38%|███▊      | 34/90 [00:19<00:31,  1.78it/s]
Epoch 6, validation pixAcc: 0.974, mIoU: 0.893:  39%|███▉      | 35/90 [00:19<00:30,  1.83it/s]
Epoch 6, validation pixAcc: 0.974, mIoU: 0.894:  39%|███▉      | 35/90 [00:19<00:30,  1.79it/s]
Epoch 6, validation pixAcc: 0.974, mIoU: 0.894:  40%|████      | 36/90 [00:19<00:29,  1.84it/s]
Epoch 6, validation pixAcc: 0.974, mIoU: 0.894:  40%|████      | 36/90 [00:19<00:29,  1.80it/s]
Epoch 6, validation pixAcc: 0.974, mIoU: 0.894:  41%|████      | 37/90 [00:19<00:28,  1.85it/s]
Epoch 6, validation pixAcc: 0.974, mIoU: 0.895:  41%|████      | 37/90 [00:20<00:29,  1.82it/s]
Epoch 6, validation pixAcc: 0.974, mIoU: 0.895:  42%|████▏     | 38/90 [00:20<00:27,  1.86it/s]
Epoch 6, validation pixAcc: 0.975, mIoU: 0.895:  42%|████▏     | 38/90 [00:20<00:28,  1.83it/s]
Epoch 6, validation pixAcc: 0.975, mIoU: 0.895:  43%|████▎     | 39/90 [00:20<00:27,  1.87it/s]
Epoch 6, validation pixAcc: 0.975, mIoU: 0.897:  43%|████▎     | 39/90 [00:21<00:27,  1.84it/s]
Epoch 6, validation pixAcc: 0.975, mIoU: 0.897:  44%|████▍     | 40/90 [00:21<00:26,  1.89it/s]
Epoch 6, validation pixAcc: 0.975, mIoU: 0.896:  44%|████▍     | 40/90 [00:21<00:27,  1.85it/s]
Epoch 6, validation pixAcc: 0.975, mIoU: 0.896:  46%|████▌     | 41/90 [00:21<00:25,  1.89it/s]
Epoch 6, validation pixAcc: 0.975, mIoU: 0.898:  46%|████▌     | 41/90 [00:22<00:26,  1.86it/s]
Epoch 6, validation pixAcc: 0.975, mIoU: 0.898:  47%|████▋     | 42/90 [00:22<00:25,  1.90it/s]
Epoch 6, validation pixAcc: 0.975, mIoU: 0.898:  47%|████▋     | 42/90 [00:22<00:25,  1.87it/s]
Epoch 6, validation pixAcc: 0.975, mIoU: 0.898:  48%|████▊     | 43/90 [00:22<00:24,  1.91it/s]
Epoch 6, validation pixAcc: 0.976, mIoU: 0.899:  48%|████▊     | 43/90 [00:22<00:25,  1.87it/s]
Epoch 6, validation pixAcc: 0.976, mIoU: 0.899:  49%|████▉     | 44/90 [00:22<00:23,  1.92it/s]
Epoch 6, validation pixAcc: 0.976, mIoU: 0.900:  49%|████▉     | 44/90 [00:23<00:24,  1.88it/s]
Epoch 6, validation pixAcc: 0.976, mIoU: 0.900:  50%|█████     | 45/90 [00:23<00:23,  1.93it/s]
Epoch 6, validation pixAcc: 0.976, mIoU: 0.900:  50%|█████     | 45/90 [00:23<00:23,  1.89it/s]
Epoch 6, validation pixAcc: 0.976, mIoU: 0.900:  51%|█████     | 46/90 [00:23<00:22,  1.93it/s]
Epoch 6, validation pixAcc: 0.976, mIoU: 0.901:  51%|█████     | 46/90 [00:24<00:23,  1.90it/s]
Epoch 6, validation pixAcc: 0.976, mIoU: 0.901:  52%|█████▏    | 47/90 [00:24<00:22,  1.94it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.901:  52%|█████▏    | 47/90 [00:24<00:22,  1.91it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.901:  53%|█████▎    | 48/90 [00:24<00:21,  1.95it/s]
Epoch 6, validation pixAcc: 0.976, mIoU: 0.900:  53%|█████▎    | 48/90 [00:25<00:21,  1.91it/s]
Epoch 6, validation pixAcc: 0.976, mIoU: 0.900:  54%|█████▍    | 49/90 [00:25<00:20,  1.95it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.900:  54%|█████▍    | 49/90 [00:25<00:21,  1.92it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.900:  56%|█████▌    | 50/90 [00:25<00:20,  1.96it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.901:  56%|█████▌    | 50/90 [00:25<00:20,  1.93it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.901:  57%|█████▋    | 51/90 [00:25<00:19,  1.96it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.902:  57%|█████▋    | 51/90 [00:26<00:20,  1.93it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.902:  58%|█████▊    | 52/90 [00:26<00:19,  1.97it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.902:  58%|█████▊    | 52/90 [00:26<00:19,  1.94it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.902:  59%|█████▉    | 53/90 [00:26<00:18,  1.97it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.901:  59%|█████▉    | 53/90 [00:27<00:19,  1.94it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.901:  60%|██████    | 54/90 [00:27<00:18,  1.98it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.901:  60%|██████    | 54/90 [00:27<00:18,  1.95it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.901:  61%|██████    | 55/90 [00:27<00:17,  1.98it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.902:  61%|██████    | 55/90 [00:28<00:17,  1.95it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.902:  62%|██████▏   | 56/90 [00:28<00:17,  1.99it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.902:  62%|██████▏   | 56/90 [00:28<00:17,  1.96it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.902:  63%|██████▎   | 57/90 [00:28<00:16,  1.99it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.902:  63%|██████▎   | 57/90 [00:29<00:16,  1.96it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.902:  64%|██████▍   | 58/90 [00:29<00:16,  1.99it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.902:  64%|██████▍   | 58/90 [00:29<00:16,  1.97it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.902:  66%|██████▌   | 59/90 [00:29<00:15,  2.00it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.902:  66%|██████▌   | 59/90 [00:29<00:15,  1.98it/s]
Epoch 6, validation pixAcc: 0.977, mIoU: 0.902:  67%|██████▋   | 60/90 [00:29<00:14,  2.01it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.903:  67%|██████▋   | 60/90 [00:30<00:15,  1.98it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.903:  68%|██████▊   | 61/90 [00:30<00:14,  2.01it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.904:  68%|██████▊   | 61/90 [00:30<00:14,  1.99it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.904:  69%|██████▉   | 62/90 [00:30<00:13,  2.02it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.904:  69%|██████▉   | 62/90 [00:31<00:14,  1.99it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.904:  70%|███████   | 63/90 [00:31<00:13,  2.03it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.905:  70%|███████   | 63/90 [00:31<00:13,  2.00it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.905:  71%|███████   | 64/90 [00:31<00:12,  2.03it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.905:  71%|███████   | 64/90 [00:31<00:12,  2.00it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.905:  72%|███████▏  | 65/90 [00:31<00:12,  2.03it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.905:  72%|███████▏  | 65/90 [00:32<00:12,  2.01it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.905:  73%|███████▎  | 66/90 [00:32<00:11,  2.04it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.905:  73%|███████▎  | 66/90 [00:32<00:11,  2.01it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.905:  74%|███████▍  | 67/90 [00:32<00:11,  2.04it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.905:  74%|███████▍  | 67/90 [00:33<00:11,  2.01it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.905:  76%|███████▌  | 68/90 [00:33<00:10,  2.04it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.906:  76%|███████▌  | 68/90 [00:33<00:10,  2.02it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.906:  77%|███████▋  | 69/90 [00:33<00:10,  2.05it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.906:  77%|███████▋  | 69/90 [00:34<00:10,  2.02it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.906:  78%|███████▊  | 70/90 [00:34<00:09,  2.05it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.906:  78%|███████▊  | 70/90 [00:34<00:09,  2.02it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.906:  79%|███████▉  | 71/90 [00:34<00:09,  2.05it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.906:  79%|███████▉  | 71/90 [00:35<00:09,  2.03it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.906:  80%|████████  | 72/90 [00:35<00:08,  2.06it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.907:  80%|████████  | 72/90 [00:35<00:08,  2.03it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.907:  81%|████████  | 73/90 [00:35<00:08,  2.06it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.906:  81%|████████  | 73/90 [00:35<00:08,  2.03it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.906:  82%|████████▏ | 74/90 [00:35<00:07,  2.06it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.905:  82%|████████▏ | 74/90 [00:36<00:07,  2.03it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.905:  83%|████████▎ | 75/90 [00:36<00:07,  2.06it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.906:  83%|████████▎ | 75/90 [00:36<00:07,  2.04it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.906:  84%|████████▍ | 76/90 [00:36<00:06,  2.06it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.906:  84%|████████▍ | 76/90 [00:37<00:06,  2.04it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.906:  86%|████████▌ | 77/90 [00:37<00:06,  2.07it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.906:  86%|████████▌ | 77/90 [00:37<00:06,  2.05it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.906:  87%|████████▋ | 78/90 [00:37<00:05,  2.07it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.906:  87%|████████▋ | 78/90 [00:38<00:05,  2.05it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.906:  88%|████████▊ | 79/90 [00:38<00:05,  2.08it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.907:  88%|████████▊ | 79/90 [00:38<00:05,  2.05it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.907:  89%|████████▉ | 80/90 [00:38<00:04,  2.08it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.907:  89%|████████▉ | 80/90 [00:38<00:04,  2.05it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.907:  90%|█████████ | 81/90 [00:38<00:04,  2.08it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.908:  90%|█████████ | 81/90 [00:39<00:04,  2.06it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.908:  91%|█████████ | 82/90 [00:39<00:03,  2.08it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.908:  91%|█████████ | 82/90 [00:39<00:03,  2.06it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.908:  92%|█████████▏| 83/90 [00:39<00:03,  2.09it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.908:  92%|█████████▏| 83/90 [00:40<00:03,  2.07it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.908:  93%|█████████▎| 84/90 [00:40<00:02,  2.09it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.908:  93%|█████████▎| 84/90 [00:40<00:02,  2.07it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.908:  94%|█████████▍| 85/90 [00:40<00:02,  2.10it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.908:  94%|█████████▍| 85/90 [00:40<00:02,  2.07it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.908:  96%|█████████▌| 86/90 [00:40<00:01,  2.10it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.908:  96%|█████████▌| 86/90 [00:41<00:01,  2.08it/s]
Epoch 6, validation pixAcc: 0.979, mIoU: 0.908:  97%|█████████▋| 87/90 [00:41<00:01,  2.10it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.907:  97%|█████████▋| 87/90 [00:41<00:01,  2.08it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.907:  98%|█████████▊| 88/90 [00:41<00:00,  2.10it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.907:  98%|█████████▊| 88/90 [00:42<00:00,  2.08it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.907:  99%|█████████▉| 89/90 [00:42<00:00,  2.11it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.907:  99%|█████████▉| 89/90 [00:42<00:00,  2.09it/s]
Epoch 6, validation pixAcc: 0.978, mIoU: 0.907: 100%|██████████| 90/90 [00:42<00:00,  2.11it/s]

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Epoch 7, training loss 0.085:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 7, training loss 0.085:   1%|          | 1/182 [00:05<15:12,  5.04s/it]
Epoch 7, training loss 0.079:   1%|          | 1/182 [00:05<17:17,  5.73s/it]
Epoch 7, training loss 0.079:   1%|          | 2/182 [00:06<09:22,  3.12s/it]
Epoch 7, training loss 0.148:   1%|          | 2/182 [00:06<10:19,  3.44s/it]
Epoch 7, training loss 0.148:   2%|▏         | 3/182 [00:07<07:22,  2.47s/it]
Epoch 7, training loss 0.125:   2%|▏         | 3/182 [00:08<07:59,  2.68s/it]
Epoch 7, training loss 0.125:   2%|▏         | 4/182 [00:08<06:21,  2.14s/it]
Epoch 7, training loss 0.132:   2%|▏         | 4/182 [00:09<06:52,  2.32s/it]
Epoch 7, training loss 0.132:   3%|▎         | 5/182 [00:09<05:45,  1.95s/it]
Epoch 7, training loss 0.119:   3%|▎         | 5/182 [00:10<06:10,  2.09s/it]
Epoch 7, training loss 0.119:   3%|▎         | 6/182 [00:10<05:21,  1.83s/it]
Epoch 7, training loss 0.117:   3%|▎         | 6/182 [00:11<05:45,  1.96s/it]
Epoch 7, training loss 0.117:   4%|▍         | 7/182 [00:12<05:07,  1.76s/it]
Epoch 7, training loss 0.112:   4%|▍         | 7/182 [00:12<05:24,  1.86s/it]
Epoch 7, training loss 0.112:   4%|▍         | 8/182 [00:13<04:53,  1.69s/it]
Epoch 7, training loss 0.108:   4%|▍         | 8/182 [00:14<05:08,  1.77s/it]
Epoch 7, training loss 0.108:   5%|▍         | 9/182 [00:14<04:42,  1.63s/it]
Epoch 7, training loss 0.109:   5%|▍         | 9/182 [00:15<04:54,  1.70s/it]
Epoch 7, training loss 0.109:   5%|▌         | 10/182 [00:15<04:32,  1.59s/it]
Epoch 7, training loss 0.111:   5%|▌         | 10/182 [00:16<04:45,  1.66s/it]
Epoch 7, training loss 0.111:   6%|▌         | 11/182 [00:17<04:25,  1.55s/it]
Epoch 7, training loss 0.109:   6%|▌         | 11/182 [00:17<04:35,  1.61s/it]
Epoch 7, training loss 0.109:   7%|▋         | 12/182 [00:18<04:18,  1.52s/it]
Epoch 7, training loss 0.105:   7%|▋         | 12/182 [00:18<04:28,  1.58s/it]
Epoch 7, training loss 0.105:   7%|▋         | 13/182 [00:19<04:13,  1.50s/it]
Epoch 7, training loss 0.102:   7%|▋         | 13/182 [00:20<04:21,  1.54s/it]
Epoch 7, training loss 0.102:   8%|▊         | 14/182 [00:20<04:07,  1.47s/it]
Epoch 7, training loss 0.099:   8%|▊         | 14/182 [00:21<04:14,  1.52s/it]
Epoch 7, training loss 0.099:   8%|▊         | 15/182 [00:21<04:02,  1.45s/it]
Epoch 7, training loss 0.095:   8%|▊         | 15/182 [00:22<04:09,  1.50s/it]
Epoch 7, training loss 0.095:   9%|▉         | 16/182 [00:22<03:57,  1.43s/it]
Epoch 7, training loss 0.092:   9%|▉         | 16/182 [00:23<04:04,  1.47s/it]
Epoch 7, training loss 0.092:   9%|▉         | 17/182 [00:24<03:53,  1.41s/it]
Epoch 7, training loss 0.111:   9%|▉         | 17/182 [00:24<03:59,  1.45s/it]
Epoch 7, training loss 0.111:  10%|▉         | 18/182 [00:25<03:49,  1.40s/it]
Epoch 7, training loss 0.108:  10%|▉         | 18/182 [00:25<03:55,  1.43s/it]
Epoch 7, training loss 0.108:  10%|█         | 19/182 [00:26<03:45,  1.38s/it]
Epoch 7, training loss 0.110:  10%|█         | 19/182 [00:26<03:51,  1.42s/it]
Epoch 7, training loss 0.110:  11%|█         | 20/182 [00:27<03:42,  1.37s/it]
Epoch 7, training loss 0.113:  11%|█         | 20/182 [00:28<03:47,  1.41s/it]
Epoch 7, training loss 0.113:  12%|█▏        | 21/182 [00:28<03:39,  1.36s/it]
Epoch 7, training loss 0.111:  12%|█▏        | 21/182 [00:29<03:45,  1.40s/it]
Epoch 7, training loss 0.111:  12%|█▏        | 22/182 [00:29<03:37,  1.36s/it]
Epoch 7, training loss 0.131:  12%|█▏        | 22/182 [00:30<03:41,  1.39s/it]
Epoch 7, training loss 0.131:  13%|█▎        | 23/182 [00:30<03:34,  1.35s/it]
Epoch 7, training loss 0.131:  13%|█▎        | 23/182 [00:31<03:39,  1.38s/it]
Epoch 7, training loss 0.131:  13%|█▎        | 24/182 [00:32<03:32,  1.34s/it]
Epoch 7, training loss 0.129:  13%|█▎        | 24/182 [00:32<03:36,  1.37s/it]
Epoch 7, training loss 0.129:  14%|█▎        | 25/182 [00:33<03:29,  1.34s/it]
Epoch 7, training loss 0.127:  14%|█▎        | 25/182 [00:34<03:33,  1.36s/it]
Epoch 7, training loss 0.127:  14%|█▍        | 26/182 [00:34<03:27,  1.33s/it]
Epoch 7, training loss 0.124:  14%|█▍        | 26/182 [00:35<03:30,  1.35s/it]
Epoch 7, training loss 0.124:  15%|█▍        | 27/182 [00:35<03:24,  1.32s/it]
Epoch 7, training loss 0.125:  15%|█▍        | 27/182 [00:36<03:28,  1.34s/it]
Epoch 7, training loss 0.125:  15%|█▌        | 28/182 [00:36<03:22,  1.31s/it]
Epoch 7, training loss 0.123:  15%|█▌        | 28/182 [00:37<03:25,  1.34s/it]
Epoch 7, training loss 0.123:  16%|█▌        | 29/182 [00:37<03:19,  1.31s/it]
Epoch 7, training loss 0.122:  16%|█▌        | 29/182 [00:38<03:23,  1.33s/it]
Epoch 7, training loss 0.122:  16%|█▋        | 30/182 [00:39<03:18,  1.30s/it]
Epoch 7, training loss 0.122:  16%|█▋        | 30/182 [00:39<03:21,  1.32s/it]
Epoch 7, training loss 0.122:  17%|█▋        | 31/182 [00:40<03:15,  1.30s/it]
Epoch 7, training loss 0.125:  17%|█▋        | 31/182 [00:40<03:19,  1.32s/it]
Epoch 7, training loss 0.125:  18%|█▊        | 32/182 [00:41<03:14,  1.29s/it]
Epoch 7, training loss 0.123:  18%|█▊        | 32/182 [00:42<03:17,  1.32s/it]
Epoch 7, training loss 0.123:  18%|█▊        | 33/182 [00:42<03:12,  1.29s/it]
Epoch 7, training loss 0.125:  18%|█▊        | 33/182 [00:43<03:15,  1.31s/it]
Epoch 7, training loss 0.125:  19%|█▊        | 34/182 [00:43<03:10,  1.29s/it]
Epoch 7, training loss 0.124:  19%|█▊        | 34/182 [00:44<03:13,  1.31s/it]
Epoch 7, training loss 0.124:  19%|█▉        | 35/182 [00:44<03:08,  1.28s/it]
Epoch 7, training loss 0.121:  19%|█▉        | 35/182 [00:45<03:11,  1.30s/it]
Epoch 7, training loss 0.121:  20%|█▉        | 36/182 [00:46<03:06,  1.28s/it]
Epoch 7, training loss 0.119:  20%|█▉        | 36/182 [00:46<03:08,  1.29s/it]
Epoch 7, training loss 0.119:  20%|██        | 37/182 [00:47<03:04,  1.27s/it]
Epoch 7, training loss 0.117:  20%|██        | 37/182 [00:47<03:07,  1.29s/it]
Epoch 7, training loss 0.117:  21%|██        | 38/182 [00:48<03:02,  1.27s/it]
Epoch 7, training loss 0.115:  21%|██        | 38/182 [00:48<03:05,  1.29s/it]
Epoch 7, training loss 0.115:  21%|██▏       | 39/182 [00:49<03:01,  1.27s/it]
Epoch 7, training loss 0.113:  21%|██▏       | 39/182 [00:50<03:03,  1.29s/it]
Epoch 7, training loss 0.113:  22%|██▏       | 40/182 [00:50<02:59,  1.27s/it]
Epoch 7, training loss 0.111:  22%|██▏       | 40/182 [00:51<03:02,  1.28s/it]
Epoch 7, training loss 0.111:  23%|██▎       | 41/182 [00:51<02:58,  1.27s/it]
Epoch 7, training loss 0.110:  23%|██▎       | 41/182 [00:52<03:00,  1.28s/it]
Epoch 7, training loss 0.110:  23%|██▎       | 42/182 [00:53<02:56,  1.26s/it]
Epoch 7, training loss 0.111:  23%|██▎       | 42/182 [00:53<02:58,  1.28s/it]
Epoch 7, training loss 0.111:  24%|██▎       | 43/182 [00:54<02:54,  1.26s/it]
Epoch 7, training loss 0.111:  24%|██▎       | 43/182 [00:54<02:56,  1.27s/it]
Epoch 7, training loss 0.111:  24%|██▍       | 44/182 [00:55<02:53,  1.26s/it]
Epoch 7, training loss 0.110:  24%|██▍       | 44/182 [00:55<02:55,  1.27s/it]
Epoch 7, training loss 0.110:  25%|██▍       | 45/182 [00:56<02:51,  1.25s/it]
Epoch 7, training loss 0.109:  25%|██▍       | 45/182 [00:56<02:53,  1.27s/it]
Epoch 7, training loss 0.109:  25%|██▌       | 46/182 [00:57<02:49,  1.25s/it]
Epoch 7, training loss 0.111:  25%|██▌       | 46/182 [00:58<02:51,  1.26s/it]
Epoch 7, training loss 0.111:  26%|██▌       | 47/182 [00:58<02:48,  1.25s/it]
Epoch 7, training loss 0.111:  26%|██▌       | 47/182 [00:59<02:50,  1.26s/it]
Epoch 7, training loss 0.111:  26%|██▋       | 48/182 [00:59<02:47,  1.25s/it]
Epoch 7, training loss 0.114:  26%|██▋       | 48/182 [01:00<02:48,  1.26s/it]
Epoch 7, training loss 0.114:  27%|██▋       | 49/182 [01:00<02:45,  1.24s/it]
Epoch 7, training loss 0.114:  27%|██▋       | 49/182 [01:01<02:47,  1.26s/it]
Epoch 7, training loss 0.114:  27%|██▋       | 50/182 [01:02<02:44,  1.24s/it]
Epoch 7, training loss 0.114:  27%|██▋       | 50/182 [01:02<02:45,  1.26s/it]
Epoch 7, training loss 0.114:  28%|██▊       | 51/182 [01:03<02:42,  1.24s/it]
Epoch 7, training loss 0.112:  28%|██▊       | 51/182 [01:03<02:44,  1.25s/it]
Epoch 7, training loss 0.112:  29%|██▊       | 52/182 [01:04<02:41,  1.24s/it]
Epoch 7, training loss 0.113:  29%|██▊       | 52/182 [01:05<02:43,  1.25s/it]
Epoch 7, training loss 0.113:  29%|██▉       | 53/182 [01:05<02:39,  1.24s/it]
Epoch 7, training loss 0.122:  29%|██▉       | 53/182 [01:06<02:41,  1.25s/it]
Epoch 7, training loss 0.122:  30%|██▉       | 54/182 [01:06<02:38,  1.24s/it]
Epoch 7, training loss 0.122:  30%|██▉       | 54/182 [01:07<02:39,  1.25s/it]
Epoch 7, training loss 0.122:  30%|███       | 55/182 [01:07<02:36,  1.23s/it]
Epoch 7, training loss 0.121:  30%|███       | 55/182 [01:08<02:38,  1.25s/it]
Epoch 7, training loss 0.121:  31%|███       | 56/182 [01:09<02:35,  1.23s/it]
Epoch 7, training loss 0.124:  31%|███       | 56/182 [01:09<02:36,  1.24s/it]
Epoch 7, training loss 0.124:  31%|███▏      | 57/182 [01:10<02:33,  1.23s/it]
Epoch 7, training loss 0.122:  31%|███▏      | 57/182 [01:10<02:35,  1.24s/it]
Epoch 7, training loss 0.122:  32%|███▏      | 58/182 [01:11<02:32,  1.23s/it]
Epoch 7, training loss 0.122:  32%|███▏      | 58/182 [01:12<02:34,  1.24s/it]
Epoch 7, training loss 0.122:  32%|███▏      | 59/182 [01:12<02:31,  1.23s/it]
Epoch 7, training loss 0.121:  32%|███▏      | 59/182 [01:13<02:32,  1.24s/it]
Epoch 7, training loss 0.121:  33%|███▎      | 60/182 [01:13<02:29,  1.23s/it]
Epoch 7, training loss 0.128:  33%|███▎      | 60/182 [01:14<02:31,  1.24s/it]
Epoch 7, training loss 0.128:  34%|███▎      | 61/182 [01:14<02:28,  1.23s/it]
Epoch 7, training loss 0.131:  34%|███▎      | 61/182 [01:15<02:29,  1.24s/it]
Epoch 7, training loss 0.131:  34%|███▍      | 62/182 [01:16<02:27,  1.23s/it]
Epoch 7, training loss 0.130:  34%|███▍      | 62/182 [01:16<02:28,  1.24s/it]
Epoch 7, training loss 0.130:  35%|███▍      | 63/182 [01:17<02:25,  1.23s/it]
Epoch 7, training loss 0.131:  35%|███▍      | 63/182 [01:17<02:27,  1.24s/it]
Epoch 7, training loss 0.131:  35%|███▌      | 64/182 [01:18<02:24,  1.23s/it]
Epoch 7, training loss 0.138:  35%|███▌      | 64/182 [01:19<02:25,  1.24s/it]
Epoch 7, training loss 0.138:  36%|███▌      | 65/182 [01:19<02:23,  1.22s/it]
Epoch 7, training loss 0.138:  36%|███▌      | 65/182 [01:20<02:24,  1.23s/it]
Epoch 7, training loss 0.138:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 7, training loss 0.143:  36%|███▋      | 66/182 [01:21<02:23,  1.23s/it]
Epoch 7, training loss 0.143:  37%|███▋      | 67/182 [01:21<02:20,  1.22s/it]
Epoch 7, training loss 0.142:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 7, training loss 0.142:  37%|███▋      | 68/182 [01:23<02:19,  1.22s/it]
Epoch 7, training loss 0.142:  37%|███▋      | 68/182 [01:23<02:20,  1.23s/it]
Epoch 7, training loss 0.142:  38%|███▊      | 69/182 [01:24<02:17,  1.22s/it]
Epoch 7, training loss 0.141:  38%|███▊      | 69/182 [01:24<02:19,  1.23s/it]
Epoch 7, training loss 0.141:  38%|███▊      | 70/182 [01:25<02:16,  1.22s/it]
Epoch 7, training loss 0.140:  38%|███▊      | 70/182 [01:26<02:17,  1.23s/it]
Epoch 7, training loss 0.140:  39%|███▉      | 71/182 [01:26<02:15,  1.22s/it]
Epoch 7, training loss 0.139:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 7, training loss 0.139:  40%|███▉      | 72/182 [01:27<02:14,  1.22s/it]
Epoch 7, training loss 0.139:  40%|███▉      | 72/182 [01:28<02:15,  1.23s/it]
Epoch 7, training loss 0.139:  40%|████      | 73/182 [01:28<02:12,  1.22s/it]
Epoch 7, training loss 0.138:  40%|████      | 73/182 [01:29<02:13,  1.23s/it]
Epoch 7, training loss 0.138:  41%|████      | 74/182 [01:30<02:11,  1.22s/it]
Epoch 7, training loss 0.144:  41%|████      | 74/182 [01:30<02:12,  1.23s/it]
Epoch 7, training loss 0.144:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 7, training loss 0.143:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 7, training loss 0.143:  42%|████▏     | 76/182 [01:32<02:08,  1.21s/it]
Epoch 7, training loss 0.143:  42%|████▏     | 76/182 [01:32<02:09,  1.22s/it]
Epoch 7, training loss 0.143:  42%|████▏     | 77/182 [01:33<02:07,  1.21s/it]
Epoch 7, training loss 0.144:  42%|████▏     | 77/182 [01:34<02:08,  1.22s/it]
Epoch 7, training loss 0.144:  43%|████▎     | 78/182 [01:34<02:05,  1.21s/it]
Epoch 7, training loss 0.145:  43%|████▎     | 78/182 [01:35<02:06,  1.22s/it]
Epoch 7, training loss 0.145:  43%|████▎     | 79/182 [01:35<02:04,  1.21s/it]
Epoch 7, training loss 0.149:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
Epoch 7, training loss 0.149:  44%|████▍     | 80/182 [01:36<02:03,  1.21s/it]
Epoch 7, training loss 0.149:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 7, training loss 0.149:  45%|████▍     | 81/182 [01:37<02:02,  1.21s/it]
Epoch 7, training loss 0.154:  45%|████▍     | 81/182 [01:38<02:02,  1.22s/it]
Epoch 7, training loss 0.154:  45%|████▌     | 82/182 [01:39<02:00,  1.21s/it]
Epoch 7, training loss 0.153:  45%|████▌     | 82/182 [01:39<02:01,  1.22s/it]
Epoch 7, training loss 0.153:  46%|████▌     | 83/182 [01:40<01:59,  1.21s/it]
Epoch 7, training loss 0.153:  46%|████▌     | 83/182 [01:40<02:00,  1.22s/it]
Epoch 7, training loss 0.153:  46%|████▌     | 84/182 [01:41<01:58,  1.21s/it]
Epoch 7, training loss 0.151:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 7, training loss 0.151:  47%|████▋     | 85/182 [01:42<01:57,  1.21s/it]
Epoch 7, training loss 0.150:  47%|████▋     | 85/182 [01:43<01:57,  1.22s/it]
Epoch 7, training loss 0.150:  47%|████▋     | 86/182 [01:43<01:55,  1.21s/it]
Epoch 7, training loss 0.156:  47%|████▋     | 86/182 [01:44<01:56,  1.21s/it]
Epoch 7, training loss 0.156:  48%|████▊     | 87/182 [01:44<01:54,  1.21s/it]
Epoch 7, training loss 0.156:  48%|████▊     | 87/182 [01:45<01:55,  1.21s/it]
Epoch 7, training loss 0.156:  48%|████▊     | 88/182 [01:46<01:53,  1.20s/it]
Epoch 7, training loss 0.155:  48%|████▊     | 88/182 [01:46<01:54,  1.21s/it]
Epoch 7, training loss 0.155:  49%|████▉     | 89/182 [01:47<01:52,  1.21s/it]
Epoch 7, training loss 0.160:  49%|████▉     | 89/182 [01:47<01:52,  1.21s/it]
Epoch 7, training loss 0.160:  49%|████▉     | 90/182 [01:48<01:50,  1.20s/it]
Epoch 7, training loss 0.160:  49%|████▉     | 90/182 [01:48<01:51,  1.21s/it]
Epoch 7, training loss 0.160:  50%|█████     | 91/182 [01:49<01:49,  1.20s/it]
Epoch 7, training loss 0.159:  50%|█████     | 91/182 [01:50<01:50,  1.21s/it]
Epoch 7, training loss 0.159:  51%|█████     | 92/182 [01:50<01:48,  1.20s/it]
Epoch 7, training loss 0.160:  51%|█████     | 92/182 [01:51<01:48,  1.21s/it]
Epoch 7, training loss 0.160:  51%|█████     | 93/182 [01:51<01:46,  1.20s/it]
Epoch 7, training loss 0.159:  51%|█████     | 93/182 [01:52<01:47,  1.21s/it]
Epoch 7, training loss 0.159:  52%|█████▏    | 94/182 [01:52<01:45,  1.20s/it]
Epoch 7, training loss 0.159:  52%|█████▏    | 94/182 [01:53<01:46,  1.21s/it]
Epoch 7, training loss 0.159:  52%|█████▏    | 95/182 [01:53<01:44,  1.20s/it]
Epoch 7, training loss 0.160:  52%|█████▏    | 95/182 [01:54<01:44,  1.21s/it]
Epoch 7, training loss 0.160:  53%|█████▎    | 96/182 [01:55<01:43,  1.20s/it]
Epoch 7, training loss 0.159:  53%|█████▎    | 96/182 [01:55<01:43,  1.21s/it]
Epoch 7, training loss 0.159:  53%|█████▎    | 97/182 [01:56<01:41,  1.20s/it]
Epoch 7, training loss 0.161:  53%|█████▎    | 97/182 [01:56<01:42,  1.20s/it]
Epoch 7, training loss 0.161:  54%|█████▍    | 98/182 [01:57<01:40,  1.20s/it]
Epoch 7, training loss 0.160:  54%|█████▍    | 98/182 [01:57<01:41,  1.20s/it]
Epoch 7, training loss 0.160:  54%|█████▍    | 99/182 [01:58<01:39,  1.20s/it]
Epoch 7, training loss 0.159:  54%|█████▍    | 99/182 [01:59<01:39,  1.20s/it]
Epoch 7, training loss 0.159:  55%|█████▍    | 100/182 [01:59<01:38,  1.20s/it]
Epoch 7, training loss 0.160:  55%|█████▍    | 100/182 [02:00<01:38,  1.20s/it]
Epoch 7, training loss 0.160:  55%|█████▌    | 101/182 [02:00<01:36,  1.20s/it]
Epoch 7, training loss 0.159:  55%|█████▌    | 101/182 [02:01<01:37,  1.20s/it]
Epoch 7, training loss 0.159:  56%|█████▌    | 102/182 [02:01<01:35,  1.20s/it]
Epoch 7, training loss 0.161:  56%|█████▌    | 102/182 [02:02<01:36,  1.20s/it]
Epoch 7, training loss 0.161:  57%|█████▋    | 103/182 [02:03<01:34,  1.19s/it]
Epoch 7, training loss 0.160:  57%|█████▋    | 103/182 [02:03<01:34,  1.20s/it]
Epoch 7, training loss 0.160:  57%|█████▋    | 104/182 [02:04<01:33,  1.19s/it]
Epoch 7, training loss 0.159:  57%|█████▋    | 104/182 [02:04<01:33,  1.20s/it]
Epoch 7, training loss 0.159:  58%|█████▊    | 105/182 [02:05<01:31,  1.19s/it]
Epoch 7, training loss 0.162:  58%|█████▊    | 105/182 [02:05<01:32,  1.20s/it]
Epoch 7, training loss 0.162:  58%|█████▊    | 106/182 [02:06<01:30,  1.19s/it]
Epoch 7, training loss 0.162:  58%|█████▊    | 106/182 [02:06<01:31,  1.20s/it]
Epoch 7, training loss 0.162:  59%|█████▉    | 107/182 [02:07<01:29,  1.19s/it]
Epoch 7, training loss 0.161:  59%|█████▉    | 107/182 [02:08<01:29,  1.20s/it]
Epoch 7, training loss 0.161:  59%|█████▉    | 108/182 [02:08<01:28,  1.19s/it]
Epoch 7, training loss 0.160:  59%|█████▉    | 108/182 [02:09<01:28,  1.20s/it]
Epoch 7, training loss 0.160:  60%|█████▉    | 109/182 [02:09<01:26,  1.19s/it]
Epoch 7, training loss 0.159:  60%|█████▉    | 109/182 [02:10<01:27,  1.20s/it]
Epoch 7, training loss 0.159:  60%|██████    | 110/182 [02:11<01:25,  1.19s/it]
Epoch 7, training loss 0.158:  60%|██████    | 110/182 [02:11<01:26,  1.20s/it]
Epoch 7, training loss 0.158:  61%|██████    | 111/182 [02:12<01:24,  1.19s/it]
Epoch 7, training loss 0.158:  61%|██████    | 111/182 [02:12<01:24,  1.20s/it]
Epoch 7, training loss 0.158:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 7, training loss 0.158:  62%|██████▏   | 112/182 [02:13<01:23,  1.20s/it]
Epoch 7, training loss 0.158:  62%|██████▏   | 113/182 [02:14<01:22,  1.19s/it]
Epoch 7, training loss 0.158:  62%|██████▏   | 113/182 [02:15<01:22,  1.20s/it]
Epoch 7, training loss 0.158:  63%|██████▎   | 114/182 [02:15<01:20,  1.19s/it]
Epoch 7, training loss 0.158:  63%|██████▎   | 114/182 [02:16<01:21,  1.19s/it]
Epoch 7, training loss 0.158:  63%|██████▎   | 115/182 [02:16<01:19,  1.19s/it]
Epoch 7, training loss 0.158:  63%|██████▎   | 115/182 [02:17<01:20,  1.20s/it]
Epoch 7, training loss 0.158:  64%|██████▎   | 116/182 [02:17<01:18,  1.19s/it]
Epoch 7, training loss 0.157:  64%|██████▎   | 116/182 [02:18<01:18,  1.20s/it]
Epoch 7, training loss 0.157:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 7, training loss 0.156:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 7, training loss 0.156:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 7, training loss 0.155:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 7, training loss 0.155:  65%|██████▌   | 119/182 [02:21<01:14,  1.19s/it]
Epoch 7, training loss 0.155:  65%|██████▌   | 119/182 [02:22<01:15,  1.19s/it]
Epoch 7, training loss 0.155:  66%|██████▌   | 120/182 [02:22<01:13,  1.19s/it]
Epoch 7, training loss 0.156:  66%|██████▌   | 120/182 [02:23<01:14,  1.19s/it]
Epoch 7, training loss 0.156:  66%|██████▋   | 121/182 [02:23<01:12,  1.19s/it]
Epoch 7, training loss 0.155:  66%|██████▋   | 121/182 [02:24<01:12,  1.19s/it]
Epoch 7, training loss 0.155:  67%|██████▋   | 122/182 [02:24<01:11,  1.19s/it]
Epoch 7, training loss 0.155:  67%|██████▋   | 122/182 [02:25<01:11,  1.19s/it]
Epoch 7, training loss 0.155:  68%|██████▊   | 123/182 [02:25<01:10,  1.19s/it]
Epoch 7, training loss 0.154:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 7, training loss 0.154:  68%|██████▊   | 124/182 [02:27<01:08,  1.19s/it]
Epoch 7, training loss 0.153:  68%|██████▊   | 124/182 [02:27<01:09,  1.19s/it]
Epoch 7, training loss 0.153:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 7, training loss 0.153:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 7, training loss 0.153:  69%|██████▉   | 126/182 [02:29<01:06,  1.18s/it]
Epoch 7, training loss 0.154:  69%|██████▉   | 126/182 [02:29<01:06,  1.19s/it]
Epoch 7, training loss 0.154:  70%|██████▉   | 127/182 [02:30<01:05,  1.18s/it]
Epoch 7, training loss 0.153:  70%|██████▉   | 127/182 [02:31<01:05,  1.19s/it]
Epoch 7, training loss 0.153:  70%|███████   | 128/182 [02:31<01:03,  1.18s/it]
Epoch 7, training loss 0.152:  70%|███████   | 128/182 [02:32<01:04,  1.19s/it]
Epoch 7, training loss 0.152:  71%|███████   | 129/182 [02:32<01:02,  1.18s/it]
Epoch 7, training loss 0.151:  71%|███████   | 129/182 [02:33<01:03,  1.19s/it]
Epoch 7, training loss 0.151:  71%|███████▏  | 130/182 [02:33<01:01,  1.18s/it]
Epoch 7, training loss 0.150:  71%|███████▏  | 130/182 [02:34<01:01,  1.19s/it]
Epoch 7, training loss 0.150:  72%|███████▏  | 131/182 [02:35<01:00,  1.18s/it]
Epoch 7, training loss 0.151:  72%|███████▏  | 131/182 [02:35<01:00,  1.19s/it]
Epoch 7, training loss 0.151:  73%|███████▎  | 132/182 [02:36<00:59,  1.18s/it]
Epoch 7, training loss 0.151:  73%|███████▎  | 132/182 [02:36<00:59,  1.19s/it]
Epoch 7, training loss 0.151:  73%|███████▎  | 133/182 [02:37<00:58,  1.18s/it]
Epoch 7, training loss 0.152:  73%|███████▎  | 133/182 [02:38<00:58,  1.19s/it]
Epoch 7, training loss 0.152:  74%|███████▎  | 134/182 [02:38<00:56,  1.18s/it]
Epoch 7, training loss 0.151:  74%|███████▎  | 134/182 [02:39<00:57,  1.19s/it]
Epoch 7, training loss 0.151:  74%|███████▍  | 135/182 [02:39<00:55,  1.18s/it]
Epoch 7, training loss 0.152:  74%|███████▍  | 135/182 [02:40<00:55,  1.19s/it]
Epoch 7, training loss 0.152:  75%|███████▍  | 136/182 [02:40<00:54,  1.18s/it]
Epoch 7, training loss 0.151:  75%|███████▍  | 136/182 [02:41<00:54,  1.19s/it]
Epoch 7, training loss 0.151:  75%|███████▌  | 137/182 [02:41<00:53,  1.18s/it]
Epoch 7, training loss 0.152:  75%|███████▌  | 137/182 [02:42<00:53,  1.19s/it]
Epoch 7, training loss 0.152:  76%|███████▌  | 138/182 [02:43<00:52,  1.18s/it]
Epoch 7, training loss 0.152:  76%|███████▌  | 138/182 [02:43<00:52,  1.19s/it]
Epoch 7, training loss 0.152:  76%|███████▋  | 139/182 [02:44<00:50,  1.18s/it]
Epoch 7, training loss 0.151:  76%|███████▋  | 139/182 [02:45<00:51,  1.19s/it]
Epoch 7, training loss 0.151:  77%|███████▋  | 140/182 [02:45<00:49,  1.18s/it]
Epoch 7, training loss 0.151:  77%|███████▋  | 140/182 [02:46<00:49,  1.19s/it]
Epoch 7, training loss 0.151:  77%|███████▋  | 141/182 [02:46<00:48,  1.18s/it]
Epoch 7, training loss 0.151:  77%|███████▋  | 141/182 [02:47<00:48,  1.19s/it]
Epoch 7, training loss 0.151:  78%|███████▊  | 142/182 [02:47<00:47,  1.18s/it]
Epoch 7, training loss 0.150:  78%|███████▊  | 142/182 [02:48<00:47,  1.19s/it]
Epoch 7, training loss 0.150:  79%|███████▊  | 143/182 [02:49<00:46,  1.18s/it]
Epoch 7, training loss 0.150:  79%|███████▊  | 143/182 [02:49<00:46,  1.19s/it]
Epoch 7, training loss 0.150:  79%|███████▉  | 144/182 [02:50<00:44,  1.18s/it]
Epoch 7, training loss 0.150:  79%|███████▉  | 144/182 [02:50<00:45,  1.19s/it]
Epoch 7, training loss 0.150:  80%|███████▉  | 145/182 [02:51<00:43,  1.18s/it]
Epoch 7, training loss 0.150:  80%|███████▉  | 145/182 [02:51<00:43,  1.19s/it]
Epoch 7, training loss 0.150:  80%|████████  | 146/182 [02:52<00:42,  1.18s/it]
Epoch 7, training loss 0.151:  80%|████████  | 146/182 [02:53<00:42,  1.18s/it]
Epoch 7, training loss 0.151:  81%|████████  | 147/182 [02:53<00:41,  1.18s/it]
Epoch 7, training loss 0.151:  81%|████████  | 147/182 [02:54<00:41,  1.18s/it]
Epoch 7, training loss 0.151:  81%|████████▏ | 148/182 [02:54<00:40,  1.18s/it]
Epoch 7, training loss 0.151:  81%|████████▏ | 148/182 [02:55<00:40,  1.18s/it]
Epoch 7, training loss 0.151:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 7, training loss 0.150:  82%|████████▏ | 149/182 [02:56<00:39,  1.18s/it]
Epoch 7, training loss 0.150:  82%|████████▏ | 150/182 [02:56<00:37,  1.18s/it]
Epoch 7, training loss 0.150:  82%|████████▏ | 150/182 [02:57<00:37,  1.18s/it]
Epoch 7, training loss 0.150:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 7, training loss 0.150:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 7, training loss 0.150:  84%|████████▎ | 152/182 [02:59<00:35,  1.18s/it]
Epoch 7, training loss 0.154:  84%|████████▎ | 152/182 [02:59<00:35,  1.18s/it]
Epoch 7, training loss 0.154:  84%|████████▍ | 153/182 [03:00<00:34,  1.18s/it]
Epoch 7, training loss 0.153:  84%|████████▍ | 153/182 [03:00<00:34,  1.18s/it]
Epoch 7, training loss 0.153:  85%|████████▍ | 154/182 [03:01<00:32,  1.18s/it]
Epoch 7, training loss 0.152:  85%|████████▍ | 154/182 [03:01<00:33,  1.18s/it]
Epoch 7, training loss 0.152:  85%|████████▌ | 155/182 [03:02<00:31,  1.18s/it]
Epoch 7, training loss 0.152:  85%|████████▌ | 155/182 [03:03<00:31,  1.18s/it]
Epoch 7, training loss 0.152:  86%|████████▌ | 156/182 [03:03<00:30,  1.18s/it]
Epoch 7, training loss 0.152:  86%|████████▌ | 156/182 [03:04<00:30,  1.18s/it]
Epoch 7, training loss 0.152:  86%|████████▋ | 157/182 [03:04<00:29,  1.18s/it]
Epoch 7, training loss 0.151:  86%|████████▋ | 157/182 [03:05<00:29,  1.18s/it]
Epoch 7, training loss 0.151:  87%|████████▋ | 158/182 [03:06<00:28,  1.18s/it]
Epoch 7, training loss 0.150:  87%|████████▋ | 158/182 [03:06<00:28,  1.18s/it]
Epoch 7, training loss 0.150:  87%|████████▋ | 159/182 [03:07<00:27,  1.18s/it]
Epoch 7, training loss 0.150:  87%|████████▋ | 159/182 [03:07<00:27,  1.18s/it]
Epoch 7, training loss 0.150:  88%|████████▊ | 160/182 [03:08<00:25,  1.18s/it]
Epoch 7, training loss 0.150:  88%|████████▊ | 160/182 [03:08<00:25,  1.18s/it]
Epoch 7, training loss 0.150:  88%|████████▊ | 161/182 [03:09<00:24,  1.18s/it]
Epoch 7, training loss 0.149:  88%|████████▊ | 161/182 [03:10<00:24,  1.18s/it]
Epoch 7, training loss 0.149:  89%|████████▉ | 162/182 [03:10<00:23,  1.18s/it]
Epoch 7, training loss 0.149:  89%|████████▉ | 162/182 [03:11<00:23,  1.18s/it]
Epoch 7, training loss 0.149:  90%|████████▉ | 163/182 [03:11<00:22,  1.18s/it]
Epoch 7, training loss 0.149:  90%|████████▉ | 163/182 [03:12<00:22,  1.18s/it]
Epoch 7, training loss 0.149:  90%|█████████ | 164/182 [03:12<00:21,  1.18s/it]
Epoch 7, training loss 0.148:  90%|█████████ | 164/182 [03:13<00:21,  1.18s/it]
Epoch 7, training loss 0.148:  91%|█████████ | 165/182 [03:14<00:20,  1.18s/it]
Epoch 7, training loss 0.148:  91%|█████████ | 165/182 [03:14<00:20,  1.18s/it]
Epoch 7, training loss 0.148:  91%|█████████ | 166/182 [03:15<00:18,  1.18s/it]
Epoch 7, training loss 0.148:  91%|█████████ | 166/182 [03:15<00:18,  1.18s/it]
Epoch 7, training loss 0.148:  92%|█████████▏| 167/182 [03:16<00:17,  1.18s/it]
Epoch 7, training loss 0.147:  92%|█████████▏| 167/182 [03:17<00:17,  1.18s/it]
Epoch 7, training loss 0.147:  92%|█████████▏| 168/182 [03:17<00:16,  1.18s/it]
Epoch 7, training loss 0.147:  92%|█████████▏| 168/182 [03:18<00:16,  1.18s/it]
Epoch 7, training loss 0.147:  93%|█████████▎| 169/182 [03:18<00:15,  1.18s/it]
Epoch 7, training loss 0.147:  93%|█████████▎| 169/182 [03:19<00:15,  1.18s/it]
Epoch 7, training loss 0.147:  93%|█████████▎| 170/182 [03:19<00:14,  1.18s/it]
Epoch 7, training loss 0.146:  93%|█████████▎| 170/182 [03:20<00:14,  1.18s/it]
Epoch 7, training loss 0.146:  94%|█████████▍| 171/182 [03:20<00:12,  1.18s/it]
Epoch 7, training loss 0.147:  94%|█████████▍| 171/182 [03:21<00:12,  1.18s/it]
Epoch 7, training loss 0.147:  95%|█████████▍| 172/182 [03:22<00:11,  1.17s/it]
Epoch 7, training loss 0.146:  95%|█████████▍| 172/182 [03:22<00:11,  1.18s/it]
Epoch 7, training loss 0.146:  95%|█████████▌| 173/182 [03:23<00:10,  1.17s/it]
Epoch 7, training loss 0.146:  95%|█████████▌| 173/182 [03:23<00:10,  1.18s/it]
Epoch 7, training loss 0.146:  96%|█████████▌| 174/182 [03:24<00:09,  1.17s/it]
Epoch 7, training loss 0.146:  96%|█████████▌| 174/182 [03:24<00:09,  1.18s/it]
Epoch 7, training loss 0.146:  96%|█████████▌| 175/182 [03:25<00:08,  1.17s/it]
Epoch 7, training loss 0.145:  96%|█████████▌| 175/182 [03:26<00:08,  1.18s/it]
Epoch 7, training loss 0.145:  97%|█████████▋| 176/182 [03:26<00:07,  1.17s/it]
Epoch 7, training loss 0.146:  97%|█████████▋| 176/182 [03:27<00:07,  1.18s/it]
Epoch 7, training loss 0.146:  97%|█████████▋| 177/182 [03:27<00:05,  1.17s/it]
Epoch 7, training loss 0.146:  97%|█████████▋| 177/182 [03:28<00:05,  1.18s/it]
Epoch 7, training loss 0.146:  98%|█████████▊| 178/182 [03:28<00:04,  1.17s/it]
Epoch 7, training loss 0.146:  98%|█████████▊| 178/182 [03:29<00:04,  1.18s/it]
Epoch 7, training loss 0.146:  98%|█████████▊| 179/182 [03:29<00:03,  1.17s/it]
Epoch 7, training loss 0.145:  98%|█████████▊| 179/182 [03:30<00:03,  1.18s/it]
Epoch 7, training loss 0.145:  99%|█████████▉| 180/182 [03:31<00:02,  1.17s/it]
Epoch 7, training loss 0.145:  99%|█████████▉| 180/182 [03:31<00:02,  1.18s/it]
Epoch 7, training loss 0.145:  99%|█████████▉| 181/182 [03:32<00:01,  1.17s/it]
Epoch 7, training loss 0.146:  99%|█████████▉| 181/182 [03:32<00:01,  1.18s/it]
Epoch 7, training loss 0.146: 100%|██████████| 182/182 [03:33<00:00,  1.17s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 7, validation pixAcc: 0.970, mIoU: 0.641:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 7, validation pixAcc: 0.970, mIoU: 0.641:   1%|          | 1/91 [00:04<06:51,  4.57s/it]
Epoch 7, validation pixAcc: 0.970, mIoU: 0.791:   1%|          | 1/91 [00:04<07:29,  4.99s/it]
Epoch 7, validation pixAcc: 0.970, mIoU: 0.791:   2%|▏         | 2/91 [00:04<03:42,  2.49s/it]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.827:   2%|▏         | 2/91 [00:05<04:00,  2.70s/it]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.827:   3%|▎         | 3/91 [00:05<02:38,  1.80s/it]
Epoch 7, validation pixAcc: 0.973, mIoU: 0.828:   3%|▎         | 3/91 [00:05<02:50,  1.94s/it]
Epoch 7, validation pixAcc: 0.973, mIoU: 0.828:   4%|▍         | 4/91 [00:05<02:06,  1.46s/it]
Epoch 7, validation pixAcc: 0.973, mIoU: 0.873:   4%|▍         | 4/91 [00:06<02:16,  1.57s/it]
Epoch 7, validation pixAcc: 0.973, mIoU: 0.873:   5%|▌         | 5/91 [00:06<01:47,  1.25s/it]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.882:   5%|▌         | 5/91 [00:06<01:55,  1.34s/it]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.882:   7%|▋         | 6/91 [00:06<01:35,  1.12s/it]
Epoch 7, validation pixAcc: 0.968, mIoU: 0.879:   7%|▋         | 6/91 [00:07<01:41,  1.19s/it]
Epoch 7, validation pixAcc: 0.968, mIoU: 0.879:   8%|▊         | 7/91 [00:07<01:25,  1.02s/it]
Epoch 7, validation pixAcc: 0.969, mIoU: 0.879:   8%|▊         | 7/91 [00:07<01:31,  1.08s/it]
Epoch 7, validation pixAcc: 0.969, mIoU: 0.879:   9%|▉         | 8/91 [00:07<01:18,  1.05it/s]
Epoch 7, validation pixAcc: 0.971, mIoU: 0.883:   9%|▉         | 8/91 [00:08<01:23,  1.01s/it]
Epoch 7, validation pixAcc: 0.971, mIoU: 0.883:  10%|▉         | 9/91 [00:08<01:13,  1.12it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.883:  10%|▉         | 9/91 [00:08<01:17,  1.06it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.883:  11%|█         | 10/91 [00:08<01:08,  1.18it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.886:  11%|█         | 10/91 [00:08<01:12,  1.12it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.886:  12%|█▏        | 11/91 [00:08<01:04,  1.23it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.883:  12%|█▏        | 11/91 [00:09<01:08,  1.18it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.883:  13%|█▎        | 12/91 [00:09<01:01,  1.28it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.878:  13%|█▎        | 12/91 [00:09<01:04,  1.23it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.878:  14%|█▍        | 13/91 [00:09<00:58,  1.33it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.884:  14%|█▍        | 13/91 [00:10<01:00,  1.28it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.884:  15%|█▌        | 14/91 [00:10<00:55,  1.38it/s]
Epoch 7, validation pixAcc: 0.973, mIoU: 0.886:  15%|█▌        | 14/91 [00:10<00:58,  1.32it/s]
Epoch 7, validation pixAcc: 0.973, mIoU: 0.886:  16%|█▋        | 15/91 [00:10<00:53,  1.42it/s]
Epoch 7, validation pixAcc: 0.973, mIoU: 0.889:  16%|█▋        | 15/91 [00:10<00:55,  1.37it/s]
Epoch 7, validation pixAcc: 0.973, mIoU: 0.889:  18%|█▊        | 16/91 [00:10<00:51,  1.46it/s]
Epoch 7, validation pixAcc: 0.973, mIoU: 0.893:  18%|█▊        | 16/91 [00:11<00:53,  1.40it/s]
Epoch 7, validation pixAcc: 0.973, mIoU: 0.893:  19%|█▊        | 17/91 [00:11<00:49,  1.49it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.890:  19%|█▊        | 17/91 [00:11<00:51,  1.44it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.890:  20%|█▉        | 18/91 [00:11<00:48,  1.52it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.886:  20%|█▉        | 18/91 [00:12<00:49,  1.46it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.886:  21%|██        | 19/91 [00:12<00:46,  1.55it/s]
Epoch 7, validation pixAcc: 0.971, mIoU: 0.881:  21%|██        | 19/91 [00:12<00:48,  1.49it/s]
Epoch 7, validation pixAcc: 0.971, mIoU: 0.881:  22%|██▏       | 20/91 [00:12<00:45,  1.57it/s]
Epoch 7, validation pixAcc: 0.971, mIoU: 0.881:  22%|██▏       | 20/91 [00:13<00:46,  1.52it/s]
Epoch 7, validation pixAcc: 0.971, mIoU: 0.881:  23%|██▎       | 21/91 [00:13<00:43,  1.59it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.884:  23%|██▎       | 21/91 [00:13<00:45,  1.55it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.884:  24%|██▍       | 22/91 [00:13<00:42,  1.62it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.886:  24%|██▍       | 22/91 [00:13<00:43,  1.57it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.886:  25%|██▌       | 23/91 [00:13<00:41,  1.64it/s]
Epoch 7, validation pixAcc: 0.971, mIoU: 0.884:  25%|██▌       | 23/91 [00:14<00:42,  1.60it/s]
Epoch 7, validation pixAcc: 0.971, mIoU: 0.884:  26%|██▋       | 24/91 [00:14<00:40,  1.67it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.883:  26%|██▋       | 24/91 [00:14<00:41,  1.62it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.883:  27%|██▋       | 25/91 [00:14<00:39,  1.69it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.885:  27%|██▋       | 25/91 [00:15<00:40,  1.65it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.885:  29%|██▊       | 26/91 [00:15<00:37,  1.71it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.885:  29%|██▊       | 26/91 [00:15<00:39,  1.66it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.885:  30%|██▉       | 27/91 [00:15<00:37,  1.73it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.889:  30%|██▉       | 27/91 [00:16<00:38,  1.68it/s]
Epoch 7, validation pixAcc: 0.972, mIoU: 0.889:  31%|███       | 28/91 [00:16<00:36,  1.74it/s]
Epoch 7, validation pixAcc: 0.973, mIoU: 0.890:  31%|███       | 28/91 [00:16<00:37,  1.70it/s]
Epoch 7, validation pixAcc: 0.973, mIoU: 0.890:  32%|███▏      | 29/91 [00:16<00:35,  1.76it/s]
Epoch 7, validation pixAcc: 0.973, mIoU: 0.890:  32%|███▏      | 29/91 [00:16<00:36,  1.71it/s]
Epoch 7, validation pixAcc: 0.973, mIoU: 0.890:  33%|███▎      | 30/91 [00:16<00:34,  1.77it/s]
Epoch 7, validation pixAcc: 0.974, mIoU: 0.892:  33%|███▎      | 30/91 [00:17<00:35,  1.72it/s]
Epoch 7, validation pixAcc: 0.974, mIoU: 0.892:  34%|███▍      | 31/91 [00:17<00:33,  1.78it/s]
Epoch 7, validation pixAcc: 0.974, mIoU: 0.894:  34%|███▍      | 31/91 [00:17<00:34,  1.74it/s]
Epoch 7, validation pixAcc: 0.974, mIoU: 0.894:  35%|███▌      | 32/91 [00:17<00:32,  1.79it/s]
Epoch 7, validation pixAcc: 0.974, mIoU: 0.895:  35%|███▌      | 32/91 [00:18<00:33,  1.75it/s]
Epoch 7, validation pixAcc: 0.974, mIoU: 0.895:  36%|███▋      | 33/91 [00:18<00:32,  1.81it/s]
Epoch 7, validation pixAcc: 0.974, mIoU: 0.897:  36%|███▋      | 33/91 [00:18<00:32,  1.77it/s]
Epoch 7, validation pixAcc: 0.974, mIoU: 0.897:  37%|███▋      | 34/91 [00:18<00:31,  1.82it/s]
Epoch 7, validation pixAcc: 0.974, mIoU: 0.897:  37%|███▋      | 34/91 [00:19<00:32,  1.78it/s]
Epoch 7, validation pixAcc: 0.974, mIoU: 0.897:  38%|███▊      | 35/91 [00:19<00:30,  1.83it/s]
Epoch 7, validation pixAcc: 0.975, mIoU: 0.897:  38%|███▊      | 35/91 [00:19<00:31,  1.79it/s]
Epoch 7, validation pixAcc: 0.975, mIoU: 0.897:  40%|███▉      | 36/91 [00:19<00:29,  1.84it/s]
Epoch 7, validation pixAcc: 0.975, mIoU: 0.897:  40%|███▉      | 36/91 [00:19<00:30,  1.81it/s]
Epoch 7, validation pixAcc: 0.975, mIoU: 0.897:  41%|████      | 37/91 [00:19<00:29,  1.86it/s]
Epoch 7, validation pixAcc: 0.975, mIoU: 0.898:  41%|████      | 37/91 [00:20<00:29,  1.82it/s]
Epoch 7, validation pixAcc: 0.975, mIoU: 0.898:  42%|████▏     | 38/91 [00:20<00:28,  1.87it/s]
Epoch 7, validation pixAcc: 0.975, mIoU: 0.897:  42%|████▏     | 38/91 [00:20<00:28,  1.83it/s]
Epoch 7, validation pixAcc: 0.975, mIoU: 0.897:  43%|████▎     | 39/91 [00:20<00:27,  1.88it/s]
Epoch 7, validation pixAcc: 0.975, mIoU: 0.898:  43%|████▎     | 39/91 [00:21<00:28,  1.84it/s]
Epoch 7, validation pixAcc: 0.975, mIoU: 0.898:  44%|████▍     | 40/91 [00:21<00:27,  1.89it/s]
Epoch 7, validation pixAcc: 0.975, mIoU: 0.898:  44%|████▍     | 40/91 [00:21<00:27,  1.85it/s]
Epoch 7, validation pixAcc: 0.975, mIoU: 0.898:  45%|████▌     | 41/91 [00:21<00:26,  1.90it/s]
Epoch 7, validation pixAcc: 0.975, mIoU: 0.899:  45%|████▌     | 41/91 [00:22<00:26,  1.86it/s]
Epoch 7, validation pixAcc: 0.975, mIoU: 0.899:  46%|████▌     | 42/91 [00:22<00:25,  1.90it/s]
Epoch 7, validation pixAcc: 0.976, mIoU: 0.899:  46%|████▌     | 42/91 [00:22<00:26,  1.87it/s]
Epoch 7, validation pixAcc: 0.976, mIoU: 0.899:  47%|████▋     | 43/91 [00:22<00:25,  1.91it/s]
Epoch 7, validation pixAcc: 0.976, mIoU: 0.900:  47%|████▋     | 43/91 [00:22<00:25,  1.87it/s]
Epoch 7, validation pixAcc: 0.976, mIoU: 0.900:  48%|████▊     | 44/91 [00:22<00:24,  1.92it/s]
Epoch 7, validation pixAcc: 0.976, mIoU: 0.901:  48%|████▊     | 44/91 [00:23<00:24,  1.88it/s]
Epoch 7, validation pixAcc: 0.976, mIoU: 0.901:  49%|████▉     | 45/91 [00:23<00:23,  1.93it/s]
Epoch 7, validation pixAcc: 0.976, mIoU: 0.901:  49%|████▉     | 45/91 [00:23<00:24,  1.89it/s]
Epoch 7, validation pixAcc: 0.976, mIoU: 0.901:  51%|█████     | 46/91 [00:23<00:23,  1.94it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.901:  51%|█████     | 46/91 [00:24<00:23,  1.90it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.901:  52%|█████▏    | 47/91 [00:24<00:22,  1.94it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.902:  52%|█████▏    | 47/91 [00:24<00:23,  1.91it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.902:  53%|█████▎    | 48/91 [00:24<00:22,  1.95it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.901:  53%|█████▎    | 48/91 [00:25<00:22,  1.91it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.901:  54%|█████▍    | 49/91 [00:25<00:21,  1.95it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.901:  54%|█████▍    | 49/91 [00:25<00:21,  1.92it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.901:  55%|█████▍    | 50/91 [00:25<00:20,  1.96it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.901:  55%|█████▍    | 50/91 [00:25<00:21,  1.93it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.901:  56%|█████▌    | 51/91 [00:25<00:20,  1.97it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.902:  56%|█████▌    | 51/91 [00:26<00:20,  1.93it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.902:  57%|█████▋    | 52/91 [00:26<00:19,  1.97it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.902:  57%|█████▋    | 52/91 [00:26<00:20,  1.94it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.902:  58%|█████▊    | 53/91 [00:26<00:19,  1.98it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.902:  58%|█████▊    | 53/91 [00:27<00:19,  1.95it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.902:  59%|█████▉    | 54/91 [00:27<00:18,  1.98it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.902:  59%|█████▉    | 54/91 [00:27<00:18,  1.96it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.902:  60%|██████    | 55/91 [00:27<00:18,  1.99it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.903:  60%|██████    | 55/91 [00:28<00:18,  1.96it/s]
Epoch 7, validation pixAcc: 0.977, mIoU: 0.903:  62%|██████▏   | 56/91 [00:28<00:17,  2.00it/s]
Epoch 7, validation pixAcc: 0.978, mIoU: 0.903:  62%|██████▏   | 56/91 [00:28<00:17,  1.96it/s]
Epoch 7, validation pixAcc: 0.978, mIoU: 0.903:  63%|██████▎   | 57/91 [00:28<00:17,  2.00it/s]
Epoch 7, validation pixAcc: 0.978, mIoU: 0.903:  63%|██████▎   | 57/91 [00:28<00:17,  1.97it/s]
Epoch 7, validation pixAcc: 0.978, mIoU: 0.903:  64%|██████▎   | 58/91 [00:28<00:16,  2.01it/s]
Epoch 7, validation pixAcc: 0.978, mIoU: 0.903:  64%|██████▎   | 58/91 [00:29<00:16,  1.98it/s]
Epoch 7, validation pixAcc: 0.978, mIoU: 0.903:  65%|██████▍   | 59/91 [00:29<00:15,  2.01it/s]
Epoch 7, validation pixAcc: 0.978, mIoU: 0.903:  65%|██████▍   | 59/91 [00:29<00:16,  1.99it/s]
Epoch 7, validation pixAcc: 0.978, mIoU: 0.903:  66%|██████▌   | 60/91 [00:29<00:15,  2.02it/s]
Epoch 7, validation pixAcc: 0.978, mIoU: 0.904:  66%|██████▌   | 60/91 [00:30<00:15,  1.99it/s]
Epoch 7, validation pixAcc: 0.978, mIoU: 0.904:  67%|██████▋   | 61/91 [00:30<00:14,  2.03it/s]
Epoch 7, validation pixAcc: 0.978, mIoU: 0.905:  67%|██████▋   | 61/91 [00:30<00:15,  2.00it/s]
Epoch 7, validation pixAcc: 0.978, mIoU: 0.905:  68%|██████▊   | 62/91 [00:30<00:14,  2.03it/s]
Epoch 7, validation pixAcc: 0.978, mIoU: 0.905:  68%|██████▊   | 62/91 [00:31<00:14,  2.00it/s]
Epoch 7, validation pixAcc: 0.978, mIoU: 0.905:  69%|██████▉   | 63/91 [00:31<00:13,  2.03it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.905:  69%|██████▉   | 63/91 [00:31<00:13,  2.01it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.905:  70%|███████   | 64/91 [00:31<00:13,  2.04it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.906:  70%|███████   | 64/91 [00:31<00:13,  2.01it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.906:  71%|███████▏  | 65/91 [00:31<00:12,  2.04it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  71%|███████▏  | 65/91 [00:32<00:12,  2.02it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  73%|███████▎  | 66/91 [00:32<00:12,  2.05it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.906:  73%|███████▎  | 66/91 [00:32<00:12,  2.02it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.906:  74%|███████▎  | 67/91 [00:32<00:11,  2.05it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.906:  74%|███████▎  | 67/91 [00:33<00:11,  2.03it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.906:  75%|███████▍  | 68/91 [00:33<00:11,  2.06it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.906:  75%|███████▍  | 68/91 [00:33<00:11,  2.03it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.906:  76%|███████▌  | 69/91 [00:33<00:10,  2.06it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.906:  76%|███████▌  | 69/91 [00:33<00:10,  2.04it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.906:  77%|███████▋  | 70/91 [00:33<00:10,  2.07it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  77%|███████▋  | 70/91 [00:34<00:10,  2.04it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  78%|███████▊  | 71/91 [00:34<00:09,  2.07it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  78%|███████▊  | 71/91 [00:34<00:09,  2.05it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  79%|███████▉  | 72/91 [00:34<00:09,  2.07it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  79%|███████▉  | 72/91 [00:35<00:09,  2.05it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  80%|████████  | 73/91 [00:35<00:08,  2.08it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  80%|████████  | 73/91 [00:35<00:08,  2.05it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  81%|████████▏ | 74/91 [00:35<00:08,  2.08it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  81%|████████▏ | 74/91 [00:36<00:08,  2.06it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  82%|████████▏ | 75/91 [00:36<00:07,  2.08it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  82%|████████▏ | 75/91 [00:36<00:07,  2.06it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  84%|████████▎ | 76/91 [00:36<00:07,  2.09it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  84%|████████▎ | 76/91 [00:36<00:07,  2.07it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  85%|████████▍ | 77/91 [00:36<00:06,  2.09it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  85%|████████▍ | 77/91 [00:37<00:06,  2.07it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  86%|████████▌ | 78/91 [00:37<00:06,  2.10it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  86%|████████▌ | 78/91 [00:37<00:06,  2.07it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.907:  87%|████████▋ | 79/91 [00:37<00:05,  2.10it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.908:  87%|████████▋ | 79/91 [00:38<00:05,  2.08it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.908:  88%|████████▊ | 80/91 [00:38<00:05,  2.10it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.908:  88%|████████▊ | 80/91 [00:38<00:05,  2.08it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.908:  89%|████████▉ | 81/91 [00:38<00:04,  2.11it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.909:  89%|████████▉ | 81/91 [00:38<00:04,  2.09it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.909:  90%|█████████ | 82/91 [00:38<00:04,  2.11it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.909:  90%|█████████ | 82/91 [00:39<00:04,  2.09it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.909:  91%|█████████ | 83/91 [00:39<00:03,  2.12it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.909:  91%|█████████ | 83/91 [00:39<00:03,  2.09it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.909:  92%|█████████▏| 84/91 [00:39<00:03,  2.12it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.909:  92%|█████████▏| 84/91 [00:40<00:03,  2.10it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.909:  93%|█████████▎| 85/91 [00:40<00:02,  2.12it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.909:  93%|█████████▎| 85/91 [00:40<00:02,  2.10it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.909:  95%|█████████▍| 86/91 [00:40<00:02,  2.13it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.909:  95%|█████████▍| 86/91 [00:40<00:02,  2.11it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.909:  96%|█████████▌| 87/91 [00:40<00:01,  2.13it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.909:  96%|█████████▌| 87/91 [00:41<00:01,  2.11it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.909:  97%|█████████▋| 88/91 [00:41<00:01,  2.13it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.908:  97%|█████████▋| 88/91 [00:41<00:01,  2.11it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.908:  98%|█████████▊| 89/91 [00:41<00:00,  2.14it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.908:  98%|█████████▊| 89/91 [00:42<00:00,  2.11it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.908:  99%|█████████▉| 90/91 [00:42<00:00,  2.14it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.908:  99%|█████████▉| 90/91 [00:42<00:00,  2.12it/s]
Epoch 7, validation pixAcc: 0.979, mIoU: 0.908: 100%|██████████| 91/91 [00:42<00:00,  2.14it/s]

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Epoch 8, training loss 0.159:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 8, training loss 0.159:   1%|          | 1/182 [00:05<15:49,  5.25s/it]
Epoch 8, training loss 0.140:   1%|          | 1/182 [00:05<17:50,  5.91s/it]
Epoch 8, training loss 0.140:   1%|          | 2/182 [00:06<09:38,  3.21s/it]
Epoch 8, training loss 0.136:   1%|          | 2/182 [00:07<10:31,  3.51s/it]
Epoch 8, training loss 0.136:   2%|▏         | 3/182 [00:07<07:28,  2.51s/it]
Epoch 8, training loss 0.136:   2%|▏         | 3/182 [00:08<08:08,  2.73s/it]
Epoch 8, training loss 0.136:   2%|▏         | 4/182 [00:08<06:26,  2.17s/it]
Epoch 8, training loss 0.122:   2%|▏         | 4/182 [00:09<06:53,  2.32s/it]
Epoch 8, training loss 0.122:   3%|▎         | 5/182 [00:09<05:45,  1.95s/it]
Epoch 8, training loss 0.119:   3%|▎         | 5/182 [00:10<06:06,  2.07s/it]
Epoch 8, training loss 0.119:   3%|▎         | 6/182 [00:10<05:18,  1.81s/it]
Epoch 8, training loss 0.130:   3%|▎         | 6/182 [00:11<05:36,  1.91s/it]
Epoch 8, training loss 0.130:   4%|▍         | 7/182 [00:11<04:58,  1.71s/it]
Epoch 8, training loss 0.131:   4%|▍         | 7/182 [00:12<05:14,  1.80s/it]
Epoch 8, training loss 0.131:   4%|▍         | 8/182 [00:13<04:45,  1.64s/it]
Epoch 8, training loss 0.124:   4%|▍         | 8/182 [00:13<05:00,  1.73s/it]
Epoch 8, training loss 0.124:   5%|▍         | 9/182 [00:14<04:35,  1.59s/it]
Epoch 8, training loss 0.119:   5%|▍         | 9/182 [00:14<04:47,  1.66s/it]
Epoch 8, training loss 0.119:   5%|▌         | 10/182 [00:15<04:25,  1.54s/it]
Epoch 8, training loss 0.119:   5%|▌         | 10/182 [00:16<04:36,  1.61s/it]
Epoch 8, training loss 0.119:   6%|▌         | 11/182 [00:16<04:17,  1.51s/it]
Epoch 8, training loss 0.119:   6%|▌         | 11/182 [00:17<04:29,  1.57s/it]
Epoch 8, training loss 0.119:   7%|▋         | 12/182 [00:17<04:12,  1.48s/it]
Epoch 8, training loss 0.128:   7%|▋         | 12/182 [00:18<04:21,  1.54s/it]
Epoch 8, training loss 0.128:   7%|▋         | 13/182 [00:18<04:06,  1.46s/it]
Epoch 8, training loss 0.127:   7%|▋         | 13/182 [00:19<04:15,  1.51s/it]
Epoch 8, training loss 0.127:   8%|▊         | 14/182 [00:20<04:02,  1.44s/it]
Epoch 8, training loss 0.123:   8%|▊         | 14/182 [00:20<04:09,  1.49s/it]
Epoch 8, training loss 0.123:   8%|▊         | 15/182 [00:21<03:57,  1.42s/it]
Epoch 8, training loss 0.118:   8%|▊         | 15/182 [00:21<04:04,  1.46s/it]
Epoch 8, training loss 0.118:   9%|▉         | 16/182 [00:22<03:52,  1.40s/it]
Epoch 8, training loss 0.113:   9%|▉         | 16/182 [00:23<03:59,  1.44s/it]
Epoch 8, training loss 0.113:   9%|▉         | 17/182 [00:23<03:48,  1.39s/it]
Epoch 8, training loss 0.109:   9%|▉         | 17/182 [00:24<03:53,  1.42s/it]
Epoch 8, training loss 0.109:  10%|▉         | 18/182 [00:24<03:44,  1.37s/it]
Epoch 8, training loss 0.117:  10%|▉         | 18/182 [00:25<03:49,  1.40s/it]
Epoch 8, training loss 0.117:  10%|█         | 19/182 [00:25<03:40,  1.35s/it]
Epoch 8, training loss 0.119:  10%|█         | 19/182 [00:26<03:46,  1.39s/it]
Epoch 8, training loss 0.119:  11%|█         | 20/182 [00:26<03:37,  1.35s/it]
Epoch 8, training loss 0.122:  11%|█         | 20/182 [00:27<03:43,  1.38s/it]
Epoch 8, training loss 0.122:  12%|█▏        | 21/182 [00:28<03:35,  1.34s/it]
Epoch 8, training loss 0.121:  12%|█▏        | 21/182 [00:28<03:40,  1.37s/it]
Epoch 8, training loss 0.121:  12%|█▏        | 22/182 [00:29<03:32,  1.33s/it]
Epoch 8, training loss 0.126:  12%|█▏        | 22/182 [00:29<03:36,  1.35s/it]
Epoch 8, training loss 0.126:  13%|█▎        | 23/182 [00:30<03:29,  1.32s/it]
Epoch 8, training loss 0.122:  13%|█▎        | 23/182 [00:30<03:33,  1.34s/it]
Epoch 8, training loss 0.122:  13%|█▎        | 24/182 [00:31<03:26,  1.31s/it]
Epoch 8, training loss 0.120:  13%|█▎        | 24/182 [00:32<03:31,  1.34s/it]
Epoch 8, training loss 0.120:  14%|█▎        | 25/182 [00:32<03:24,  1.30s/it]
Epoch 8, training loss 0.119:  14%|█▎        | 25/182 [00:33<03:28,  1.33s/it]
Epoch 8, training loss 0.119:  14%|█▍        | 26/182 [00:33<03:22,  1.30s/it]
Epoch 8, training loss 0.122:  14%|█▍        | 26/182 [00:34<03:26,  1.32s/it]
Epoch 8, training loss 0.122:  15%|█▍        | 27/182 [00:34<03:20,  1.29s/it]
Epoch 8, training loss 0.120:  15%|█▍        | 27/182 [00:35<03:24,  1.32s/it]
Epoch 8, training loss 0.120:  15%|█▌        | 28/182 [00:36<03:18,  1.29s/it]
Epoch 8, training loss 0.119:  15%|█▌        | 28/182 [00:36<03:22,  1.31s/it]
Epoch 8, training loss 0.119:  16%|█▌        | 29/182 [00:37<03:16,  1.29s/it]
Epoch 8, training loss 0.149:  16%|█▌        | 29/182 [00:37<03:20,  1.31s/it]
Epoch 8, training loss 0.149:  16%|█▋        | 30/182 [00:38<03:14,  1.28s/it]
Epoch 8, training loss 0.147:  16%|█▋        | 30/182 [00:39<03:17,  1.30s/it]
Epoch 8, training loss 0.147:  17%|█▋        | 31/182 [00:39<03:12,  1.28s/it]
Epoch 8, training loss 0.146:  17%|█▋        | 31/182 [00:40<03:15,  1.30s/it]
Epoch 8, training loss 0.146:  18%|█▊        | 32/182 [00:40<03:10,  1.27s/it]
Epoch 8, training loss 0.143:  18%|█▊        | 32/182 [00:41<03:13,  1.29s/it]
Epoch 8, training loss 0.143:  18%|█▊        | 33/182 [00:41<03:08,  1.27s/it]
Epoch 8, training loss 0.140:  18%|█▊        | 33/182 [00:42<03:11,  1.29s/it]
Epoch 8, training loss 0.140:  19%|█▊        | 34/182 [00:42<03:06,  1.26s/it]
Epoch 8, training loss 0.138:  19%|█▊        | 34/182 [00:43<03:09,  1.28s/it]
Epoch 8, training loss 0.138:  19%|█▉        | 35/182 [00:44<03:04,  1.26s/it]
Epoch 8, training loss 0.137:  19%|█▉        | 35/182 [00:44<03:07,  1.28s/it]
Epoch 8, training loss 0.137:  20%|█▉        | 36/182 [00:45<03:03,  1.26s/it]
Epoch 8, training loss 0.137:  20%|█▉        | 36/182 [00:45<03:06,  1.27s/it]
Epoch 8, training loss 0.137:  20%|██        | 37/182 [00:46<03:01,  1.25s/it]
Epoch 8, training loss 0.135:  20%|██        | 37/182 [00:47<03:04,  1.28s/it]
Epoch 8, training loss 0.135:  21%|██        | 38/182 [00:47<03:00,  1.25s/it]
Epoch 8, training loss 0.142:  21%|██        | 38/182 [00:48<03:03,  1.27s/it]
Epoch 8, training loss 0.142:  21%|██▏       | 39/182 [00:48<02:59,  1.25s/it]
Epoch 8, training loss 0.140:  21%|██▏       | 39/182 [00:49<03:01,  1.27s/it]
Epoch 8, training loss 0.140:  22%|██▏       | 40/182 [00:50<02:57,  1.25s/it]
Epoch 8, training loss 0.139:  22%|██▏       | 40/182 [00:50<02:59,  1.27s/it]
Epoch 8, training loss 0.139:  23%|██▎       | 41/182 [00:51<02:55,  1.25s/it]
Epoch 8, training loss 0.163:  23%|██▎       | 41/182 [00:51<02:58,  1.26s/it]
Epoch 8, training loss 0.163:  23%|██▎       | 42/182 [00:52<02:54,  1.24s/it]
Epoch 8, training loss 0.162:  23%|██▎       | 42/182 [00:52<02:56,  1.26s/it]
Epoch 8, training loss 0.162:  24%|██▎       | 43/182 [00:53<02:52,  1.24s/it]
Epoch 8, training loss 0.164:  24%|██▎       | 43/182 [00:53<02:54,  1.26s/it]
Epoch 8, training loss 0.164:  24%|██▍       | 44/182 [00:54<02:50,  1.24s/it]
Epoch 8, training loss 0.162:  24%|██▍       | 44/182 [00:55<02:52,  1.25s/it]
Epoch 8, training loss 0.162:  25%|██▍       | 45/182 [00:55<02:49,  1.23s/it]
Epoch 8, training loss 0.160:  25%|██▍       | 45/182 [00:56<02:50,  1.25s/it]
Epoch 8, training loss 0.160:  25%|██▌       | 46/182 [00:56<02:47,  1.23s/it]
Epoch 8, training loss 0.161:  25%|██▌       | 46/182 [00:57<02:49,  1.25s/it]
Epoch 8, training loss 0.161:  26%|██▌       | 47/182 [00:57<02:46,  1.23s/it]
Epoch 8, training loss 0.160:  26%|██▌       | 47/182 [00:58<02:48,  1.25s/it]
Epoch 8, training loss 0.160:  26%|██▋       | 48/182 [00:59<02:44,  1.23s/it]
Epoch 8, training loss 0.158:  26%|██▋       | 48/182 [00:59<02:46,  1.24s/it]
Epoch 8, training loss 0.158:  27%|██▋       | 49/182 [01:00<02:43,  1.23s/it]
Epoch 8, training loss 0.159:  27%|██▋       | 49/182 [01:00<02:45,  1.24s/it]
Epoch 8, training loss 0.159:  27%|██▋       | 50/182 [01:01<02:41,  1.23s/it]
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Epoch 8, training loss 0.158:  28%|██▊       | 51/182 [01:02<02:40,  1.22s/it]
Epoch 8, training loss 0.156:  28%|██▊       | 51/182 [01:03<02:42,  1.24s/it]
Epoch 8, training loss 0.156:  29%|██▊       | 52/182 [01:03<02:39,  1.22s/it]
Epoch 8, training loss 0.154:  29%|██▊       | 52/182 [01:04<02:40,  1.24s/it]
Epoch 8, training loss 0.154:  29%|██▉       | 53/182 [01:04<02:37,  1.22s/it]
Epoch 8, training loss 0.158:  29%|██▉       | 53/182 [01:05<02:39,  1.23s/it]
Epoch 8, training loss 0.158:  30%|██▉       | 54/182 [01:05<02:36,  1.22s/it]
Epoch 8, training loss 0.159:  30%|██▉       | 54/182 [01:06<02:38,  1.24s/it]
Epoch 8, training loss 0.159:  30%|███       | 55/182 [01:07<02:35,  1.22s/it]
Epoch 8, training loss 0.160:  30%|███       | 55/182 [01:07<02:36,  1.24s/it]
Epoch 8, training loss 0.160:  31%|███       | 56/182 [01:08<02:34,  1.22s/it]
Epoch 8, training loss 0.158:  31%|███       | 56/182 [01:09<02:35,  1.23s/it]
Epoch 8, training loss 0.158:  31%|███▏      | 57/182 [01:09<02:32,  1.22s/it]
Epoch 8, training loss 0.159:  31%|███▏      | 57/182 [01:10<02:33,  1.23s/it]
Epoch 8, training loss 0.159:  32%|███▏      | 58/182 [01:10<02:31,  1.22s/it]
Epoch 8, training loss 0.158:  32%|███▏      | 58/182 [01:11<02:32,  1.23s/it]
Epoch 8, training loss 0.158:  32%|███▏      | 59/182 [01:11<02:29,  1.22s/it]
Epoch 8, training loss 0.157:  32%|███▏      | 59/182 [01:12<02:30,  1.23s/it]
Epoch 8, training loss 0.157:  33%|███▎      | 60/182 [01:12<02:28,  1.22s/it]
Epoch 8, training loss 0.156:  33%|███▎      | 60/182 [01:13<02:29,  1.23s/it]
Epoch 8, training loss 0.156:  34%|███▎      | 61/182 [01:14<02:26,  1.21s/it]
Epoch 8, training loss 0.160:  34%|███▎      | 61/182 [01:14<02:28,  1.23s/it]
Epoch 8, training loss 0.160:  34%|███▍      | 62/182 [01:15<02:25,  1.21s/it]
Epoch 8, training loss 0.159:  34%|███▍      | 62/182 [01:15<02:26,  1.22s/it]
Epoch 8, training loss 0.159:  35%|███▍      | 63/182 [01:16<02:24,  1.21s/it]
Epoch 8, training loss 0.159:  35%|███▍      | 63/182 [01:17<02:25,  1.22s/it]
Epoch 8, training loss 0.159:  35%|███▌      | 64/182 [01:17<02:23,  1.21s/it]
Epoch 8, training loss 0.157:  35%|███▌      | 64/182 [01:18<02:24,  1.22s/it]
Epoch 8, training loss 0.157:  36%|███▌      | 65/182 [01:18<02:21,  1.21s/it]
Epoch 8, training loss 0.158:  36%|███▌      | 65/182 [01:19<02:22,  1.22s/it]
Epoch 8, training loss 0.158:  36%|███▋      | 66/182 [01:19<02:20,  1.21s/it]
Epoch 8, training loss 0.156:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 8, training loss 0.156:  37%|███▋      | 67/182 [01:20<02:18,  1.21s/it]
Epoch 8, training loss 0.155:  37%|███▋      | 67/182 [01:21<02:19,  1.22s/it]
Epoch 8, training loss 0.155:  37%|███▋      | 68/182 [01:22<02:17,  1.21s/it]
Epoch 8, training loss 0.158:  37%|███▋      | 68/182 [01:22<02:18,  1.21s/it]
Epoch 8, training loss 0.158:  38%|███▊      | 69/182 [01:23<02:16,  1.20s/it]
Epoch 8, training loss 0.158:  38%|███▊      | 69/182 [01:23<02:17,  1.21s/it]
Epoch 8, training loss 0.158:  38%|███▊      | 70/182 [01:24<02:14,  1.20s/it]
Epoch 8, training loss 0.157:  38%|███▊      | 70/182 [01:24<02:15,  1.21s/it]
Epoch 8, training loss 0.157:  39%|███▉      | 71/182 [01:25<02:13,  1.20s/it]
Epoch 8, training loss 0.156:  39%|███▉      | 71/182 [01:26<02:14,  1.21s/it]
Epoch 8, training loss 0.156:  40%|███▉      | 72/182 [01:26<02:12,  1.20s/it]
Epoch 8, training loss 0.156:  40%|███▉      | 72/182 [01:27<02:13,  1.21s/it]
Epoch 8, training loss 0.156:  40%|████      | 73/182 [01:27<02:10,  1.20s/it]
Epoch 8, training loss 0.155:  40%|████      | 73/182 [01:28<02:11,  1.21s/it]
Epoch 8, training loss 0.155:  41%|████      | 74/182 [01:28<02:09,  1.20s/it]
Epoch 8, training loss 0.154:  41%|████      | 74/182 [01:29<02:10,  1.21s/it]
Epoch 8, training loss 0.154:  41%|████      | 75/182 [01:30<02:08,  1.20s/it]
Epoch 8, training loss 0.153:  41%|████      | 75/182 [01:30<02:09,  1.21s/it]
Epoch 8, training loss 0.153:  42%|████▏     | 76/182 [01:31<02:07,  1.20s/it]
Epoch 8, training loss 0.152:  42%|████▏     | 76/182 [01:31<02:07,  1.21s/it]
Epoch 8, training loss 0.152:  42%|████▏     | 77/182 [01:32<02:05,  1.20s/it]
Epoch 8, training loss 0.153:  42%|████▏     | 77/182 [01:32<02:06,  1.21s/it]
Epoch 8, training loss 0.153:  43%|████▎     | 78/182 [01:33<02:04,  1.20s/it]
Epoch 8, training loss 0.151:  43%|████▎     | 78/182 [01:33<02:05,  1.20s/it]
Epoch 8, training loss 0.151:  43%|████▎     | 79/182 [01:34<02:03,  1.20s/it]
Epoch 8, training loss 0.151:  43%|████▎     | 79/182 [01:35<02:03,  1.20s/it]
Epoch 8, training loss 0.151:  44%|████▍     | 80/182 [01:35<02:01,  1.19s/it]
Epoch 8, training loss 0.150:  44%|████▍     | 80/182 [01:36<02:02,  1.20s/it]
Epoch 8, training loss 0.150:  45%|████▍     | 81/182 [01:36<02:00,  1.19s/it]
Epoch 8, training loss 0.149:  45%|████▍     | 81/182 [01:37<02:01,  1.20s/it]
Epoch 8, training loss 0.149:  45%|████▌     | 82/182 [01:37<01:59,  1.19s/it]
Epoch 8, training loss 0.151:  45%|████▌     | 82/182 [01:38<01:59,  1.20s/it]
Epoch 8, training loss 0.151:  46%|████▌     | 83/182 [01:38<01:57,  1.19s/it]
Epoch 8, training loss 0.150:  46%|████▌     | 83/182 [01:39<01:58,  1.20s/it]
Epoch 8, training loss 0.150:  46%|████▌     | 84/182 [01:39<01:56,  1.19s/it]
Epoch 8, training loss 0.150:  46%|████▌     | 84/182 [01:40<01:57,  1.20s/it]
Epoch 8, training loss 0.150:  47%|████▋     | 85/182 [01:41<01:55,  1.19s/it]
Epoch 8, training loss 0.149:  47%|████▋     | 85/182 [01:41<01:55,  1.20s/it]
Epoch 8, training loss 0.149:  47%|████▋     | 86/182 [01:42<01:54,  1.19s/it]
Epoch 8, training loss 0.148:  47%|████▋     | 86/182 [01:42<01:54,  1.20s/it]
Epoch 8, training loss 0.148:  48%|████▊     | 87/182 [01:43<01:52,  1.19s/it]
Epoch 8, training loss 0.147:  48%|████▊     | 87/182 [01:43<01:53,  1.19s/it]
Epoch 8, training loss 0.147:  48%|████▊     | 88/182 [01:44<01:51,  1.19s/it]
Epoch 8, training loss 0.146:  48%|████▊     | 88/182 [01:45<01:52,  1.20s/it]
Epoch 8, training loss 0.146:  49%|████▉     | 89/182 [01:45<01:50,  1.19s/it]
Epoch 8, training loss 0.146:  49%|████▉     | 89/182 [01:46<01:51,  1.19s/it]
Epoch 8, training loss 0.146:  49%|████▉     | 90/182 [01:46<01:49,  1.19s/it]
Epoch 8, training loss 0.146:  49%|████▉     | 90/182 [01:47<01:49,  1.19s/it]
Epoch 8, training loss 0.146:  50%|█████     | 91/182 [01:47<01:47,  1.19s/it]
Epoch 8, training loss 0.144:  50%|█████     | 91/182 [01:48<01:48,  1.19s/it]
Epoch 8, training loss 0.144:  51%|█████     | 92/182 [01:49<01:46,  1.19s/it]
Epoch 8, training loss 0.144:  51%|█████     | 92/182 [01:49<01:47,  1.19s/it]
Epoch 8, training loss 0.144:  51%|█████     | 93/182 [01:50<01:45,  1.19s/it]
Epoch 8, training loss 0.144:  51%|█████     | 93/182 [01:50<01:46,  1.19s/it]
Epoch 8, training loss 0.144:  52%|█████▏    | 94/182 [01:51<01:44,  1.19s/it]
Epoch 8, training loss 0.150:  52%|█████▏    | 94/182 [01:52<01:44,  1.19s/it]
Epoch 8, training loss 0.150:  52%|█████▏    | 95/182 [01:52<01:43,  1.18s/it]
Epoch 8, training loss 0.150:  52%|█████▏    | 95/182 [01:53<01:43,  1.19s/it]
Epoch 8, training loss 0.150:  53%|█████▎    | 96/182 [01:53<01:41,  1.18s/it]
Epoch 8, training loss 0.149:  53%|█████▎    | 96/182 [01:54<01:42,  1.19s/it]
Epoch 8, training loss 0.149:  53%|█████▎    | 97/182 [01:54<01:40,  1.18s/it]
Epoch 8, training loss 0.148:  53%|█████▎    | 97/182 [01:55<01:41,  1.19s/it]
Epoch 8, training loss 0.148:  54%|█████▍    | 98/182 [01:55<01:39,  1.18s/it]
Epoch 8, training loss 0.147:  54%|█████▍    | 98/182 [01:56<01:39,  1.19s/it]
Epoch 8, training loss 0.147:  54%|█████▍    | 99/182 [01:57<01:38,  1.18s/it]
Epoch 8, training loss 0.146:  54%|█████▍    | 99/182 [01:57<01:38,  1.19s/it]
Epoch 8, training loss 0.146:  55%|█████▍    | 100/182 [01:58<01:36,  1.18s/it]
Epoch 8, training loss 0.145:  55%|█████▍    | 100/182 [01:58<01:37,  1.19s/it]
Epoch 8, training loss 0.145:  55%|█████▌    | 101/182 [01:59<01:35,  1.18s/it]
Epoch 8, training loss 0.145:  55%|█████▌    | 101/182 [01:59<01:36,  1.19s/it]
Epoch 8, training loss 0.145:  56%|█████▌    | 102/182 [02:00<01:34,  1.18s/it]
Epoch 8, training loss 0.144:  56%|█████▌    | 102/182 [02:01<01:34,  1.19s/it]
Epoch 8, training loss 0.144:  57%|█████▋    | 103/182 [02:01<01:33,  1.18s/it]
Epoch 8, training loss 0.144:  57%|█████▋    | 103/182 [02:02<01:33,  1.19s/it]
Epoch 8, training loss 0.144:  57%|█████▋    | 104/182 [02:02<01:32,  1.18s/it]
Epoch 8, training loss 0.144:  57%|█████▋    | 104/182 [02:03<01:32,  1.19s/it]
Epoch 8, training loss 0.144:  58%|█████▊    | 105/182 [02:03<01:30,  1.18s/it]
Epoch 8, training loss 0.144:  58%|█████▊    | 105/182 [02:04<01:31,  1.19s/it]
Epoch 8, training loss 0.144:  58%|█████▊    | 106/182 [02:05<01:29,  1.18s/it]
Epoch 8, training loss 0.145:  58%|█████▊    | 106/182 [02:05<01:30,  1.19s/it]
Epoch 8, training loss 0.145:  59%|█████▉    | 107/182 [02:06<01:28,  1.18s/it]
Epoch 8, training loss 0.144:  59%|█████▉    | 107/182 [02:06<01:28,  1.19s/it]
Epoch 8, training loss 0.144:  59%|█████▉    | 108/182 [02:07<01:27,  1.18s/it]
Epoch 8, training loss 0.143:  59%|█████▉    | 108/182 [02:07<01:27,  1.19s/it]
Epoch 8, training loss 0.143:  60%|█████▉    | 109/182 [02:08<01:26,  1.18s/it]
Epoch 8, training loss 0.143:  60%|█████▉    | 109/182 [02:09<01:26,  1.18s/it]
Epoch 8, training loss 0.143:  60%|██████    | 110/182 [02:09<01:24,  1.18s/it]
Epoch 8, training loss 0.143:  60%|██████    | 110/182 [02:10<01:25,  1.18s/it]
Epoch 8, training loss 0.143:  61%|██████    | 111/182 [02:10<01:23,  1.18s/it]
Epoch 8, training loss 0.142:  61%|██████    | 111/182 [02:11<01:24,  1.18s/it]
Epoch 8, training loss 0.142:  62%|██████▏   | 112/182 [02:11<01:22,  1.18s/it]
Epoch 8, training loss 0.142:  62%|██████▏   | 112/182 [02:12<01:22,  1.18s/it]
Epoch 8, training loss 0.142:  62%|██████▏   | 113/182 [02:13<01:21,  1.18s/it]
Epoch 8, training loss 0.142:  62%|██████▏   | 113/182 [02:13<01:21,  1.18s/it]
Epoch 8, training loss 0.142:  63%|██████▎   | 114/182 [02:14<01:20,  1.18s/it]
Epoch 8, training loss 0.141:  63%|██████▎   | 114/182 [02:14<01:20,  1.18s/it]
Epoch 8, training loss 0.141:  63%|██████▎   | 115/182 [02:15<01:18,  1.18s/it]
Epoch 8, training loss 0.141:  63%|██████▎   | 115/182 [02:16<01:19,  1.18s/it]
Epoch 8, training loss 0.141:  64%|██████▎   | 116/182 [02:16<01:17,  1.18s/it]
Epoch 8, training loss 0.140:  64%|██████▎   | 116/182 [02:17<01:18,  1.18s/it]
Epoch 8, training loss 0.140:  64%|██████▍   | 117/182 [02:17<01:16,  1.18s/it]
Epoch 8, training loss 0.141:  64%|██████▍   | 117/182 [02:18<01:16,  1.18s/it]
Epoch 8, training loss 0.141:  65%|██████▍   | 118/182 [02:18<01:15,  1.18s/it]
Epoch 8, training loss 0.140:  65%|██████▍   | 118/182 [02:19<01:15,  1.18s/it]
Epoch 8, training loss 0.140:  65%|██████▌   | 119/182 [02:20<01:14,  1.18s/it]
Epoch 8, training loss 0.142:  65%|██████▌   | 119/182 [02:20<01:14,  1.18s/it]
Epoch 8, training loss 0.142:  66%|██████▌   | 120/182 [02:21<01:12,  1.18s/it]
Epoch 8, training loss 0.142:  66%|██████▌   | 120/182 [02:21<01:13,  1.18s/it]
Epoch 8, training loss 0.142:  66%|██████▋   | 121/182 [02:22<01:11,  1.18s/it]
Epoch 8, training loss 0.141:  66%|██████▋   | 121/182 [02:22<01:12,  1.18s/it]
Epoch 8, training loss 0.141:  67%|██████▋   | 122/182 [02:23<01:10,  1.18s/it]
Epoch 8, training loss 0.141:  67%|██████▋   | 122/182 [02:24<01:10,  1.18s/it]
Epoch 8, training loss 0.141:  68%|██████▊   | 123/182 [02:24<01:09,  1.18s/it]
Epoch 8, training loss 0.140:  68%|██████▊   | 123/182 [02:25<01:09,  1.18s/it]
Epoch 8, training loss 0.140:  68%|██████▊   | 124/182 [02:25<01:08,  1.18s/it]
Epoch 8, training loss 0.140:  68%|██████▊   | 124/182 [02:26<01:08,  1.18s/it]
Epoch 8, training loss 0.140:  69%|██████▊   | 125/182 [02:27<01:07,  1.18s/it]
Epoch 8, training loss 0.140:  69%|██████▊   | 125/182 [02:27<01:07,  1.18s/it]
Epoch 8, training loss 0.140:  69%|██████▉   | 126/182 [02:28<01:05,  1.18s/it]
Epoch 8, training loss 0.140:  69%|██████▉   | 126/182 [02:28<01:06,  1.18s/it]
Epoch 8, training loss 0.140:  70%|██████▉   | 127/182 [02:29<01:04,  1.18s/it]
Epoch 8, training loss 0.141:  70%|██████▉   | 127/182 [02:29<01:04,  1.18s/it]
Epoch 8, training loss 0.141:  70%|███████   | 128/182 [02:30<01:03,  1.18s/it]
Epoch 8, training loss 0.141:  70%|███████   | 128/182 [02:31<01:03,  1.18s/it]
Epoch 8, training loss 0.141:  71%|███████   | 129/182 [02:31<01:02,  1.17s/it]
Epoch 8, training loss 0.141:  71%|███████   | 129/182 [02:32<01:02,  1.18s/it]
Epoch 8, training loss 0.141:  71%|███████▏  | 130/182 [02:32<01:01,  1.17s/it]
Epoch 8, training loss 0.141:  71%|███████▏  | 130/182 [02:33<01:01,  1.18s/it]
Epoch 8, training loss 0.141:  72%|███████▏  | 131/182 [02:33<00:59,  1.17s/it]
Epoch 8, training loss 0.140:  72%|███████▏  | 131/182 [02:34<01:00,  1.18s/it]
Epoch 8, training loss 0.140:  73%|███████▎  | 132/182 [02:34<00:58,  1.17s/it]
Epoch 8, training loss 0.139:  73%|███████▎  | 132/182 [02:35<00:58,  1.18s/it]
Epoch 8, training loss 0.139:  73%|███████▎  | 133/182 [02:36<00:57,  1.17s/it]
Epoch 8, training loss 0.139:  73%|███████▎  | 133/182 [02:36<00:57,  1.18s/it]
Epoch 8, training loss 0.139:  74%|███████▎  | 134/182 [02:37<00:56,  1.17s/it]
Epoch 8, training loss 0.139:  74%|███████▎  | 134/182 [02:37<00:56,  1.18s/it]
Epoch 8, training loss 0.139:  74%|███████▍  | 135/182 [02:38<00:55,  1.17s/it]
Epoch 8, training loss 0.138:  74%|███████▍  | 135/182 [02:39<00:55,  1.18s/it]
Epoch 8, training loss 0.138:  75%|███████▍  | 136/182 [02:39<00:53,  1.17s/it]
Epoch 8, training loss 0.138:  75%|███████▍  | 136/182 [02:40<00:54,  1.18s/it]
Epoch 8, training loss 0.138:  75%|███████▌  | 137/182 [02:40<00:52,  1.17s/it]
Epoch 8, training loss 0.137:  75%|███████▌  | 137/182 [02:41<00:53,  1.18s/it]
Epoch 8, training loss 0.137:  76%|███████▌  | 138/182 [02:41<00:51,  1.17s/it]
Epoch 8, training loss 0.137:  76%|███████▌  | 138/182 [02:42<00:51,  1.18s/it]
Epoch 8, training loss 0.137:  76%|███████▋  | 139/182 [02:43<00:50,  1.17s/it]
Epoch 8, training loss 0.137:  76%|███████▋  | 139/182 [02:43<00:50,  1.18s/it]
Epoch 8, training loss 0.137:  77%|███████▋  | 140/182 [02:44<00:49,  1.17s/it]
Epoch 8, training loss 0.138:  77%|███████▋  | 140/182 [02:44<00:49,  1.18s/it]
Epoch 8, training loss 0.138:  77%|███████▋  | 141/182 [02:45<00:48,  1.17s/it]
Epoch 8, training loss 0.137:  77%|███████▋  | 141/182 [02:46<00:48,  1.18s/it]
Epoch 8, training loss 0.137:  78%|███████▊  | 142/182 [02:46<00:46,  1.17s/it]
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Epoch 8, training loss 0.137:  79%|███████▊  | 143/182 [02:47<00:45,  1.17s/it]
Epoch 8, training loss 0.137:  79%|███████▊  | 143/182 [02:48<00:45,  1.18s/it]
Epoch 8, training loss 0.137:  79%|███████▉  | 144/182 [02:48<00:44,  1.17s/it]
Epoch 8, training loss 0.137:  79%|███████▉  | 144/182 [02:49<00:44,  1.18s/it]
Epoch 8, training loss 0.137:  80%|███████▉  | 145/182 [02:50<00:43,  1.17s/it]
Epoch 8, training loss 0.136:  80%|███████▉  | 145/182 [02:50<00:43,  1.18s/it]
Epoch 8, training loss 0.136:  80%|████████  | 146/182 [02:51<00:42,  1.17s/it]
Epoch 8, training loss 0.136:  80%|████████  | 146/182 [02:51<00:42,  1.18s/it]
Epoch 8, training loss 0.136:  81%|████████  | 147/182 [02:52<00:41,  1.17s/it]
Epoch 8, training loss 0.135:  81%|████████  | 147/182 [02:53<00:41,  1.18s/it]
Epoch 8, training loss 0.135:  81%|████████▏ | 148/182 [02:53<00:39,  1.17s/it]
Epoch 8, training loss 0.135:  81%|████████▏ | 148/182 [02:54<00:40,  1.18s/it]
Epoch 8, training loss 0.135:  82%|████████▏ | 149/182 [02:54<00:38,  1.17s/it]
Epoch 8, training loss 0.134:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 8, training loss 0.134:  82%|████████▏ | 150/182 [02:55<00:37,  1.17s/it]
Epoch 8, training loss 0.134:  82%|████████▏ | 150/182 [02:56<00:37,  1.18s/it]
Epoch 8, training loss 0.134:  83%|████████▎ | 151/182 [02:57<00:36,  1.17s/it]
Epoch 8, training loss 0.134:  83%|████████▎ | 151/182 [02:57<00:36,  1.18s/it]
Epoch 8, training loss 0.134:  84%|████████▎ | 152/182 [02:58<00:35,  1.17s/it]
Epoch 8, training loss 0.133:  84%|████████▎ | 152/182 [02:58<00:35,  1.18s/it]
Epoch 8, training loss 0.133:  84%|████████▍ | 153/182 [02:59<00:33,  1.17s/it]
Epoch 8, training loss 0.133:  84%|████████▍ | 153/182 [02:59<00:34,  1.18s/it]
Epoch 8, training loss 0.133:  85%|████████▍ | 154/182 [03:00<00:32,  1.17s/it]
Epoch 8, training loss 0.133:  85%|████████▍ | 154/182 [03:00<00:32,  1.18s/it]
Epoch 8, training loss 0.133:  85%|████████▌ | 155/182 [03:01<00:31,  1.17s/it]
Epoch 8, training loss 0.133:  85%|████████▌ | 155/182 [03:02<00:31,  1.17s/it]
Epoch 8, training loss 0.133:  86%|████████▌ | 156/182 [03:02<00:30,  1.17s/it]
Epoch 8, training loss 0.133:  86%|████████▌ | 156/182 [03:03<00:30,  1.17s/it]
Epoch 8, training loss 0.133:  86%|████████▋ | 157/182 [03:03<00:29,  1.17s/it]
Epoch 8, training loss 0.132:  86%|████████▋ | 157/182 [03:04<00:29,  1.18s/it]
Epoch 8, training loss 0.132:  87%|████████▋ | 158/182 [03:05<00:28,  1.17s/it]
Epoch 8, training loss 0.132:  87%|████████▋ | 158/182 [03:05<00:28,  1.17s/it]
Epoch 8, training loss 0.132:  87%|████████▋ | 159/182 [03:06<00:26,  1.17s/it]
Epoch 8, training loss 0.131:  87%|████████▋ | 159/182 [03:06<00:27,  1.17s/it]
Epoch 8, training loss 0.131:  88%|████████▊ | 160/182 [03:07<00:25,  1.17s/it]
Epoch 8, training loss 0.130:  88%|████████▊ | 160/182 [03:07<00:25,  1.17s/it]
Epoch 8, training loss 0.130:  88%|████████▊ | 161/182 [03:08<00:24,  1.17s/it]
Epoch 8, training loss 0.130:  88%|████████▊ | 161/182 [03:09<00:24,  1.17s/it]
Epoch 8, training loss 0.130:  89%|████████▉ | 162/182 [03:09<00:23,  1.17s/it]
Epoch 8, training loss 0.130:  89%|████████▉ | 162/182 [03:10<00:23,  1.17s/it]
Epoch 8, training loss 0.130:  90%|████████▉ | 163/182 [03:10<00:22,  1.17s/it]
Epoch 8, training loss 0.129:  90%|████████▉ | 163/182 [03:11<00:22,  1.17s/it]
Epoch 8, training loss 0.129:  90%|█████████ | 164/182 [03:11<00:21,  1.17s/it]
Epoch 8, training loss 0.129:  90%|█████████ | 164/182 [03:12<00:21,  1.17s/it]
Epoch 8, training loss 0.129:  91%|█████████ | 165/182 [03:12<00:19,  1.17s/it]
Epoch 8, training loss 0.130:  91%|█████████ | 165/182 [03:13<00:19,  1.17s/it]
Epoch 8, training loss 0.130:  91%|█████████ | 166/182 [03:14<00:18,  1.17s/it]
Epoch 8, training loss 0.130:  91%|█████████ | 166/182 [03:14<00:18,  1.17s/it]
Epoch 8, training loss 0.130:  92%|█████████▏| 167/182 [03:15<00:17,  1.17s/it]
Epoch 8, training loss 0.129:  92%|█████████▏| 167/182 [03:15<00:17,  1.17s/it]
Epoch 8, training loss 0.129:  92%|█████████▏| 168/182 [03:16<00:16,  1.17s/it]
Epoch 8, training loss 0.129:  92%|█████████▏| 168/182 [03:17<00:16,  1.17s/it]
Epoch 8, training loss 0.129:  93%|█████████▎| 169/182 [03:17<00:15,  1.17s/it]
Epoch 8, training loss 0.130:  93%|█████████▎| 169/182 [03:18<00:15,  1.17s/it]
Epoch 8, training loss 0.130:  93%|█████████▎| 170/182 [03:18<00:14,  1.17s/it]
Epoch 8, training loss 0.129:  93%|█████████▎| 170/182 [03:19<00:14,  1.17s/it]
Epoch 8, training loss 0.129:  94%|█████████▍| 171/182 [03:19<00:12,  1.17s/it]
Epoch 8, training loss 0.129:  94%|█████████▍| 171/182 [03:20<00:12,  1.17s/it]
Epoch 8, training loss 0.129:  95%|█████████▍| 172/182 [03:21<00:11,  1.17s/it]
Epoch 8, training loss 0.129:  95%|█████████▍| 172/182 [03:21<00:11,  1.17s/it]
Epoch 8, training loss 0.129:  95%|█████████▌| 173/182 [03:22<00:10,  1.17s/it]
Epoch 8, training loss 0.129:  95%|█████████▌| 173/182 [03:22<00:10,  1.17s/it]
Epoch 8, training loss 0.129:  96%|█████████▌| 174/182 [03:23<00:09,  1.17s/it]
Epoch 8, training loss 0.129:  96%|█████████▌| 174/182 [03:23<00:09,  1.17s/it]
Epoch 8, training loss 0.129:  96%|█████████▌| 175/182 [03:24<00:08,  1.17s/it]
Epoch 8, training loss 0.129:  96%|█████████▌| 175/182 [03:24<00:08,  1.17s/it]
Epoch 8, training loss 0.129:  97%|█████████▋| 176/182 [03:25<00:07,  1.17s/it]
Epoch 8, training loss 0.128:  97%|█████████▋| 176/182 [03:26<00:07,  1.17s/it]
Epoch 8, training loss 0.128:  97%|█████████▋| 177/182 [03:26<00:05,  1.17s/it]
Epoch 8, training loss 0.129:  97%|█████████▋| 177/182 [03:27<00:05,  1.17s/it]
Epoch 8, training loss 0.129:  98%|█████████▊| 178/182 [03:27<00:04,  1.17s/it]
Epoch 8, training loss 0.129:  98%|█████████▊| 178/182 [03:28<00:04,  1.17s/it]
Epoch 8, training loss 0.129:  98%|█████████▊| 179/182 [03:28<00:03,  1.17s/it]
Epoch 8, training loss 0.129:  98%|█████████▊| 179/182 [03:29<00:03,  1.17s/it]
Epoch 8, training loss 0.129:  99%|█████████▉| 180/182 [03:30<00:02,  1.17s/it]
Epoch 8, training loss 0.128:  99%|█████████▉| 180/182 [03:30<00:02,  1.17s/it]
Epoch 8, training loss 0.128:  99%|█████████▉| 181/182 [03:31<00:01,  1.17s/it]
Epoch 8, training loss 0.128:  99%|█████████▉| 181/182 [03:31<00:01,  1.17s/it]
Epoch 8, training loss 0.128: 100%|██████████| 182/182 [03:32<00:00,  1.17s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 8, validation pixAcc: 0.972, mIoU: 0.524:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 8, validation pixAcc: 0.972, mIoU: 0.524:   1%|          | 1/91 [00:04<07:06,  4.73s/it]
Epoch 8, validation pixAcc: 0.973, mIoU: 0.731:   1%|          | 1/91 [00:05<07:42,  5.14s/it]
Epoch 8, validation pixAcc: 0.973, mIoU: 0.731:   2%|▏         | 2/91 [00:05<03:48,  2.57s/it]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.760:   2%|▏         | 2/91 [00:05<04:10,  2.81s/it]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.760:   3%|▎         | 3/91 [00:05<02:44,  1.87s/it]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.782:   3%|▎         | 3/91 [00:06<02:56,  2.01s/it]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.782:   4%|▍         | 4/91 [00:06<02:11,  1.51s/it]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.886:   4%|▍         | 4/91 [00:06<02:20,  1.62s/it]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.886:   5%|▌         | 5/91 [00:06<01:51,  1.29s/it]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.883:   5%|▌         | 5/91 [00:06<01:58,  1.38s/it]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.883:   7%|▋         | 6/91 [00:06<01:37,  1.15s/it]
Epoch 8, validation pixAcc: 0.971, mIoU: 0.879:   7%|▋         | 6/91 [00:07<01:43,  1.22s/it]
Epoch 8, validation pixAcc: 0.971, mIoU: 0.879:   8%|▊         | 7/91 [00:07<01:27,  1.05s/it]
Epoch 8, validation pixAcc: 0.972, mIoU: 0.880:   8%|▊         | 7/91 [00:07<01:33,  1.11s/it]
Epoch 8, validation pixAcc: 0.972, mIoU: 0.880:   9%|▉         | 8/91 [00:07<01:20,  1.03it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.882:   9%|▉         | 8/91 [00:08<01:25,  1.03s/it]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.882:  10%|▉         | 9/91 [00:08<01:14,  1.10it/s]
Epoch 8, validation pixAcc: 0.973, mIoU: 0.892:  10%|▉         | 9/91 [00:08<01:18,  1.05it/s]
Epoch 8, validation pixAcc: 0.973, mIoU: 0.892:  11%|█         | 10/91 [00:08<01:09,  1.16it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.890:  11%|█         | 10/91 [00:09<01:12,  1.11it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.890:  12%|█▏        | 11/91 [00:09<01:05,  1.22it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.887:  12%|█▏        | 11/91 [00:09<01:08,  1.17it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.887:  13%|█▎        | 12/91 [00:09<01:01,  1.27it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.884:  13%|█▎        | 12/91 [00:09<01:04,  1.22it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.884:  14%|█▍        | 13/91 [00:09<00:59,  1.32it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.894:  14%|█▍        | 13/91 [00:10<01:01,  1.26it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.894:  15%|█▌        | 14/91 [00:10<00:56,  1.36it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.892:  15%|█▌        | 14/91 [00:10<00:59,  1.30it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.892:  16%|█▋        | 15/91 [00:10<00:54,  1.40it/s]
Epoch 8, validation pixAcc: 0.975, mIoU: 0.898:  16%|█▋        | 15/91 [00:11<00:56,  1.34it/s]
Epoch 8, validation pixAcc: 0.975, mIoU: 0.898:  18%|█▊        | 16/91 [00:11<00:52,  1.43it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.897:  18%|█▊        | 16/91 [00:11<00:54,  1.38it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.897:  19%|█▊        | 17/91 [00:11<00:50,  1.46it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.894:  19%|█▊        | 17/91 [00:12<00:52,  1.41it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.894:  20%|█▉        | 18/91 [00:12<00:49,  1.49it/s]
Epoch 8, validation pixAcc: 0.973, mIoU: 0.887:  20%|█▉        | 18/91 [00:12<00:50,  1.44it/s]
Epoch 8, validation pixAcc: 0.973, mIoU: 0.887:  21%|██        | 19/91 [00:12<00:47,  1.52it/s]
Epoch 8, validation pixAcc: 0.971, mIoU: 0.883:  21%|██        | 19/91 [00:12<00:49,  1.47it/s]
Epoch 8, validation pixAcc: 0.971, mIoU: 0.883:  22%|██▏       | 20/91 [00:12<00:45,  1.54it/s]
Epoch 8, validation pixAcc: 0.972, mIoU: 0.886:  22%|██▏       | 20/91 [00:13<00:47,  1.50it/s]
Epoch 8, validation pixAcc: 0.972, mIoU: 0.886:  23%|██▎       | 21/91 [00:13<00:44,  1.57it/s]
Epoch 8, validation pixAcc: 0.972, mIoU: 0.884:  23%|██▎       | 21/91 [00:13<00:45,  1.53it/s]
Epoch 8, validation pixAcc: 0.972, mIoU: 0.884:  24%|██▍       | 22/91 [00:13<00:43,  1.60it/s]
Epoch 8, validation pixAcc: 0.973, mIoU: 0.886:  24%|██▍       | 22/91 [00:14<00:44,  1.55it/s]
Epoch 8, validation pixAcc: 0.973, mIoU: 0.886:  25%|██▌       | 23/91 [00:14<00:41,  1.62it/s]
Epoch 8, validation pixAcc: 0.972, mIoU: 0.884:  25%|██▌       | 23/91 [00:14<00:43,  1.57it/s]
Epoch 8, validation pixAcc: 0.972, mIoU: 0.884:  26%|██▋       | 24/91 [00:14<00:40,  1.64it/s]
Epoch 8, validation pixAcc: 0.972, mIoU: 0.883:  26%|██▋       | 24/91 [00:15<00:42,  1.59it/s]
Epoch 8, validation pixAcc: 0.972, mIoU: 0.883:  27%|██▋       | 25/91 [00:15<00:39,  1.66it/s]
Epoch 8, validation pixAcc: 0.973, mIoU: 0.885:  27%|██▋       | 25/91 [00:15<00:40,  1.61it/s]
Epoch 8, validation pixAcc: 0.973, mIoU: 0.885:  29%|██▊       | 26/91 [00:15<00:38,  1.67it/s]
Epoch 8, validation pixAcc: 0.972, mIoU: 0.886:  29%|██▊       | 26/91 [00:16<00:40,  1.62it/s]
Epoch 8, validation pixAcc: 0.972, mIoU: 0.886:  30%|██▉       | 27/91 [00:16<00:37,  1.69it/s]
Epoch 8, validation pixAcc: 0.973, mIoU: 0.890:  30%|██▉       | 27/91 [00:16<00:38,  1.64it/s]
Epoch 8, validation pixAcc: 0.973, mIoU: 0.890:  31%|███       | 28/91 [00:16<00:36,  1.70it/s]
Epoch 8, validation pixAcc: 0.973, mIoU: 0.890:  31%|███       | 28/91 [00:16<00:37,  1.66it/s]
Epoch 8, validation pixAcc: 0.973, mIoU: 0.890:  32%|███▏      | 29/91 [00:16<00:36,  1.72it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.891:  32%|███▏      | 29/91 [00:17<00:37,  1.67it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.891:  33%|███▎      | 30/91 [00:17<00:35,  1.73it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.893:  33%|███▎      | 30/91 [00:17<00:36,  1.69it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.893:  34%|███▍      | 31/91 [00:17<00:34,  1.74it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.894:  34%|███▍      | 31/91 [00:18<00:35,  1.70it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.894:  35%|███▌      | 32/91 [00:18<00:33,  1.76it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.895:  35%|███▌      | 32/91 [00:18<00:34,  1.72it/s]
Epoch 8, validation pixAcc: 0.974, mIoU: 0.895:  36%|███▋      | 33/91 [00:18<00:32,  1.77it/s]
Epoch 8, validation pixAcc: 0.975, mIoU: 0.897:  36%|███▋      | 33/91 [00:19<00:33,  1.73it/s]
Epoch 8, validation pixAcc: 0.975, mIoU: 0.897:  37%|███▋      | 34/91 [00:19<00:31,  1.78it/s]
Epoch 8, validation pixAcc: 0.975, mIoU: 0.896:  37%|███▋      | 34/91 [00:19<00:32,  1.74it/s]
Epoch 8, validation pixAcc: 0.975, mIoU: 0.896:  38%|███▊      | 35/91 [00:19<00:31,  1.79it/s]
Epoch 8, validation pixAcc: 0.975, mIoU: 0.897:  38%|███▊      | 35/91 [00:19<00:31,  1.75it/s]
Epoch 8, validation pixAcc: 0.975, mIoU: 0.897:  40%|███▉      | 36/91 [00:19<00:30,  1.80it/s]
Epoch 8, validation pixAcc: 0.975, mIoU: 0.897:  40%|███▉      | 36/91 [00:20<00:31,  1.77it/s]
Epoch 8, validation pixAcc: 0.975, mIoU: 0.897:  41%|████      | 37/91 [00:20<00:29,  1.82it/s]
Epoch 8, validation pixAcc: 0.975, mIoU: 0.898:  41%|████      | 37/91 [00:20<00:30,  1.78it/s]
Epoch 8, validation pixAcc: 0.975, mIoU: 0.898:  42%|████▏     | 38/91 [00:20<00:29,  1.83it/s]
Epoch 8, validation pixAcc: 0.975, mIoU: 0.898:  42%|████▏     | 38/91 [00:21<00:29,  1.79it/s]
Epoch 8, validation pixAcc: 0.975, mIoU: 0.898:  43%|████▎     | 39/91 [00:21<00:28,  1.84it/s]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.900:  43%|████▎     | 39/91 [00:21<00:28,  1.80it/s]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.900:  44%|████▍     | 40/91 [00:21<00:27,  1.85it/s]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.899:  44%|████▍     | 40/91 [00:22<00:28,  1.81it/s]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.899:  45%|████▌     | 41/91 [00:22<00:26,  1.86it/s]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.899:  45%|████▌     | 41/91 [00:22<00:27,  1.82it/s]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.899:  46%|████▌     | 42/91 [00:22<00:26,  1.87it/s]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.900:  46%|████▌     | 42/91 [00:22<00:26,  1.83it/s]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.900:  47%|████▋     | 43/91 [00:22<00:25,  1.88it/s]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.901:  47%|████▋     | 43/91 [00:23<00:26,  1.84it/s]
Epoch 8, validation pixAcc: 0.976, mIoU: 0.901:  48%|████▊     | 44/91 [00:23<00:24,  1.89it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.901:  48%|████▊     | 44/91 [00:23<00:25,  1.85it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.901:  49%|████▉     | 45/91 [00:23<00:24,  1.90it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.902:  49%|████▉     | 45/91 [00:24<00:24,  1.86it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.902:  51%|█████     | 46/91 [00:24<00:23,  1.90it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.902:  51%|█████     | 46/91 [00:24<00:24,  1.87it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.902:  52%|█████▏    | 47/91 [00:24<00:23,  1.91it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.902:  52%|█████▏    | 47/91 [00:25<00:23,  1.88it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.902:  53%|█████▎    | 48/91 [00:25<00:22,  1.92it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.901:  53%|█████▎    | 48/91 [00:25<00:22,  1.89it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.901:  54%|█████▍    | 49/91 [00:25<00:21,  1.92it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.902:  54%|█████▍    | 49/91 [00:25<00:22,  1.89it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.902:  55%|█████▍    | 50/91 [00:25<00:21,  1.93it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.902:  55%|█████▍    | 50/91 [00:26<00:21,  1.90it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.902:  56%|█████▌    | 51/91 [00:26<00:20,  1.94it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.903:  56%|█████▌    | 51/91 [00:26<00:20,  1.91it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.903:  57%|█████▋    | 52/91 [00:26<00:20,  1.95it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.904:  57%|█████▋    | 52/91 [00:27<00:20,  1.92it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.904:  58%|█████▊    | 53/91 [00:27<00:19,  1.95it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.903:  58%|█████▊    | 53/91 [00:27<00:19,  1.93it/s]
Epoch 8, validation pixAcc: 0.977, mIoU: 0.903:  59%|█████▉    | 54/91 [00:27<00:18,  1.96it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.903:  59%|█████▉    | 54/91 [00:27<00:19,  1.93it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.903:  60%|██████    | 55/91 [00:27<00:18,  1.97it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.904:  60%|██████    | 55/91 [00:28<00:18,  1.94it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.904:  62%|██████▏   | 56/91 [00:28<00:17,  1.98it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.904:  62%|██████▏   | 56/91 [00:28<00:17,  1.95it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.904:  63%|██████▎   | 57/91 [00:28<00:17,  1.99it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.904:  63%|██████▎   | 57/91 [00:29<00:17,  1.95it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.904:  64%|██████▎   | 58/91 [00:29<00:16,  1.99it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.904:  64%|██████▎   | 58/91 [00:29<00:16,  1.96it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.904:  65%|██████▍   | 59/91 [00:29<00:16,  1.99it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.904:  65%|██████▍   | 59/91 [00:30<00:16,  1.96it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.904:  66%|██████▌   | 60/91 [00:30<00:15,  2.00it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.905:  66%|██████▌   | 60/91 [00:30<00:15,  1.97it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.905:  67%|██████▋   | 61/91 [00:30<00:15,  2.00it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.905:  67%|██████▋   | 61/91 [00:30<00:15,  1.97it/s]
Epoch 8, validation pixAcc: 0.978, mIoU: 0.905:  68%|██████▊   | 62/91 [00:30<00:14,  2.01it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.906:  68%|██████▊   | 62/91 [00:31<00:14,  1.98it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.906:  69%|██████▉   | 63/91 [00:31<00:13,  2.01it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.907:  69%|██████▉   | 63/91 [00:31<00:14,  1.98it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.907:  70%|███████   | 64/91 [00:31<00:13,  2.02it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.907:  70%|███████   | 64/91 [00:32<00:13,  1.99it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.907:  71%|███████▏  | 65/91 [00:32<00:12,  2.02it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.908:  71%|███████▏  | 65/91 [00:32<00:13,  1.99it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.908:  73%|███████▎  | 66/91 [00:32<00:12,  2.02it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.908:  73%|███████▎  | 66/91 [00:33<00:12,  2.00it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.908:  74%|███████▎  | 67/91 [00:33<00:11,  2.03it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.907:  74%|███████▎  | 67/91 [00:33<00:11,  2.00it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.907:  75%|███████▍  | 68/91 [00:33<00:11,  2.03it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.908:  75%|███████▍  | 68/91 [00:33<00:11,  2.00it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.908:  76%|███████▌  | 69/91 [00:33<00:10,  2.03it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.908:  76%|███████▌  | 69/91 [00:34<00:10,  2.01it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.908:  77%|███████▋  | 70/91 [00:34<00:10,  2.04it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.909:  77%|███████▋  | 70/91 [00:34<00:10,  2.01it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.909:  78%|███████▊  | 71/91 [00:34<00:09,  2.04it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.909:  78%|███████▊  | 71/91 [00:35<00:09,  2.02it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.909:  79%|███████▉  | 72/91 [00:35<00:09,  2.04it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.909:  79%|███████▉  | 72/91 [00:35<00:09,  2.02it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.909:  80%|████████  | 73/91 [00:35<00:08,  2.05it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.909:  80%|████████  | 73/91 [00:36<00:08,  2.03it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.909:  81%|████████▏ | 74/91 [00:36<00:08,  2.05it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.910:  81%|████████▏ | 74/91 [00:36<00:08,  2.03it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.910:  82%|████████▏ | 75/91 [00:36<00:07,  2.06it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.909:  82%|████████▏ | 75/91 [00:36<00:07,  2.03it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.909:  84%|████████▎ | 76/91 [00:36<00:07,  2.06it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.909:  84%|████████▎ | 76/91 [00:37<00:07,  2.04it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.909:  85%|████████▍ | 77/91 [00:37<00:06,  2.06it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.909:  85%|████████▍ | 77/91 [00:37<00:06,  2.04it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.909:  86%|████████▌ | 78/91 [00:37<00:06,  2.07it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.909:  86%|████████▌ | 78/91 [00:38<00:06,  2.04it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.909:  87%|████████▋ | 79/91 [00:38<00:05,  2.07it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.910:  87%|████████▋ | 79/91 [00:38<00:05,  2.05it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.910:  88%|████████▊ | 80/91 [00:38<00:05,  2.07it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.911:  88%|████████▊ | 80/91 [00:38<00:05,  2.05it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.911:  89%|████████▉ | 81/91 [00:38<00:04,  2.08it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.911:  89%|████████▉ | 81/91 [00:39<00:04,  2.06it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.911:  90%|█████████ | 82/91 [00:39<00:04,  2.08it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.912:  90%|█████████ | 82/91 [00:39<00:04,  2.06it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.912:  91%|█████████ | 83/91 [00:39<00:03,  2.08it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.912:  91%|█████████ | 83/91 [00:40<00:03,  2.06it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.912:  92%|█████████▏| 84/91 [00:40<00:03,  2.09it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.912:  92%|█████████▏| 84/91 [00:40<00:03,  2.07it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.912:  93%|█████████▎| 85/91 [00:40<00:02,  2.09it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.912:  93%|█████████▎| 85/91 [00:41<00:02,  2.07it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.912:  95%|█████████▍| 86/91 [00:41<00:02,  2.09it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.912:  95%|█████████▍| 86/91 [00:41<00:02,  2.07it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.912:  96%|█████████▌| 87/91 [00:41<00:01,  2.10it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.912:  96%|█████████▌| 87/91 [00:41<00:01,  2.08it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.912:  97%|█████████▋| 88/91 [00:41<00:01,  2.10it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.911:  97%|█████████▋| 88/91 [00:42<00:01,  2.08it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.911:  98%|█████████▊| 89/91 [00:42<00:00,  2.10it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.912:  98%|█████████▊| 89/91 [00:42<00:00,  2.08it/s]
Epoch 8, validation pixAcc: 0.980, mIoU: 0.912:  99%|█████████▉| 90/91 [00:42<00:00,  2.11it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.911:  99%|█████████▉| 90/91 [00:43<00:00,  2.09it/s]
Epoch 8, validation pixAcc: 0.979, mIoU: 0.911: 100%|██████████| 91/91 [00:43<00:00,  2.11it/s]

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Epoch 9, training loss 0.145:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 9, training loss 0.145:   1%|          | 1/182 [00:05<16:31,  5.48s/it]
Epoch 9, training loss 0.133:   1%|          | 1/182 [00:06<18:50,  6.24s/it]
Epoch 9, training loss 0.133:   1%|          | 2/182 [00:06<10:07,  3.38s/it]
Epoch 9, training loss 0.206:   1%|          | 2/182 [00:07<11:02,  3.68s/it]
Epoch 9, training loss 0.206:   2%|▏         | 3/182 [00:07<07:49,  2.62s/it]
Epoch 9, training loss 0.172:   2%|▏         | 3/182 [00:08<08:34,  2.88s/it]
Epoch 9, training loss 0.172:   2%|▏         | 4/182 [00:09<06:45,  2.28s/it]
Epoch 9, training loss 0.142:   2%|▏         | 4/182 [00:09<07:13,  2.43s/it]
Epoch 9, training loss 0.142:   3%|▎         | 5/182 [00:10<06:02,  2.05s/it]
Epoch 9, training loss 0.133:   3%|▎         | 5/182 [00:10<06:24,  2.17s/it]
Epoch 9, training loss 0.133:   3%|▎         | 6/182 [00:11<05:34,  1.90s/it]
Epoch 9, training loss 0.124:   3%|▎         | 6/182 [00:12<05:53,  2.01s/it]
Epoch 9, training loss 0.124:   4%|▍         | 7/182 [00:12<05:13,  1.79s/it]
Epoch 9, training loss 0.116:   4%|▍         | 7/182 [00:13<05:29,  1.89s/it]
Epoch 9, training loss 0.116:   4%|▍         | 8/182 [00:13<04:58,  1.71s/it]
Epoch 9, training loss 0.118:   4%|▍         | 8/182 [00:14<05:11,  1.79s/it]
Epoch 9, training loss 0.118:   5%|▍         | 9/182 [00:14<04:45,  1.65s/it]
Epoch 9, training loss 0.146:   5%|▍         | 9/182 [00:15<04:59,  1.73s/it]
Epoch 9, training loss 0.146:   5%|▌         | 10/182 [00:16<04:37,  1.61s/it]
Epoch 9, training loss 0.138:   5%|▌         | 10/182 [00:16<04:48,  1.68s/it]
Epoch 9, training loss 0.138:   6%|▌         | 11/182 [00:17<04:28,  1.57s/it]
Epoch 9, training loss 0.133:   6%|▌         | 11/182 [00:17<04:39,  1.63s/it]
Epoch 9, training loss 0.133:   7%|▋         | 12/182 [00:18<04:21,  1.54s/it]
Epoch 9, training loss 0.133:   7%|▋         | 12/182 [00:19<04:30,  1.59s/it]
Epoch 9, training loss 0.133:   7%|▋         | 13/182 [00:19<04:15,  1.51s/it]
Epoch 9, training loss 0.153:   7%|▋         | 13/182 [00:20<04:23,  1.56s/it]
Epoch 9, training loss 0.153:   8%|▊         | 14/182 [00:20<04:09,  1.48s/it]
Epoch 9, training loss 0.156:   8%|▊         | 14/182 [00:21<04:16,  1.52s/it]
Epoch 9, training loss 0.156:   8%|▊         | 15/182 [00:21<04:03,  1.46s/it]
Epoch 9, training loss 0.171:   8%|▊         | 15/182 [00:22<04:10,  1.50s/it]
Epoch 9, training loss 0.171:   9%|▉         | 16/182 [00:23<03:59,  1.44s/it]
Epoch 9, training loss 0.164:   9%|▉         | 16/182 [00:23<04:06,  1.49s/it]
Epoch 9, training loss 0.164:   9%|▉         | 17/182 [00:24<03:55,  1.43s/it]
Epoch 9, training loss 0.156:   9%|▉         | 17/182 [00:24<04:01,  1.47s/it]
Epoch 9, training loss 0.156:  10%|▉         | 18/182 [00:25<03:51,  1.41s/it]
Epoch 9, training loss 0.173:  10%|▉         | 18/182 [00:26<03:58,  1.45s/it]
Epoch 9, training loss 0.173:  10%|█         | 19/182 [00:26<03:48,  1.40s/it]
Epoch 9, training loss 0.171:  10%|█         | 19/182 [00:27<03:54,  1.44s/it]
Epoch 9, training loss 0.171:  11%|█         | 20/182 [00:27<03:45,  1.39s/it]
Epoch 9, training loss 0.167:  11%|█         | 20/182 [00:28<03:51,  1.43s/it]
Epoch 9, training loss 0.167:  12%|█▏        | 21/182 [00:29<03:42,  1.38s/it]
Epoch 9, training loss 0.177:  12%|█▏        | 21/182 [00:29<03:47,  1.41s/it]
Epoch 9, training loss 0.177:  12%|█▏        | 22/182 [00:30<03:39,  1.37s/it]
Epoch 9, training loss 0.172:  12%|█▏        | 22/182 [00:30<03:44,  1.40s/it]
Epoch 9, training loss 0.172:  13%|█▎        | 23/182 [00:31<03:36,  1.36s/it]
Epoch 9, training loss 0.169:  13%|█▎        | 23/182 [00:32<03:41,  1.39s/it]
Epoch 9, training loss 0.169:  13%|█▎        | 24/182 [00:32<03:34,  1.36s/it]
Epoch 9, training loss 0.166:  13%|█▎        | 24/182 [00:33<03:39,  1.39s/it]
Epoch 9, training loss 0.166:  14%|█▎        | 25/182 [00:33<03:31,  1.35s/it]
Epoch 9, training loss 0.161:  14%|█▎        | 25/182 [00:34<03:37,  1.38s/it]
Epoch 9, training loss 0.161:  14%|█▍        | 26/182 [00:35<03:30,  1.35s/it]
Epoch 9, training loss 0.156:  14%|█▍        | 26/182 [00:35<03:34,  1.37s/it]
Epoch 9, training loss 0.156:  15%|█▍        | 27/182 [00:36<03:27,  1.34s/it]
Epoch 9, training loss 0.156:  15%|█▍        | 27/182 [00:36<03:32,  1.37s/it]
Epoch 9, training loss 0.156:  15%|█▌        | 28/182 [00:37<03:25,  1.34s/it]
Epoch 9, training loss 0.164:  15%|█▌        | 28/182 [00:38<03:29,  1.36s/it]
Epoch 9, training loss 0.164:  16%|█▌        | 29/182 [00:38<03:23,  1.33s/it]
Epoch 9, training loss 0.161:  16%|█▌        | 29/182 [00:39<03:26,  1.35s/it]
Epoch 9, training loss 0.161:  16%|█▋        | 30/182 [00:39<03:21,  1.32s/it]
Epoch 9, training loss 0.159:  16%|█▋        | 30/182 [00:40<03:24,  1.35s/it]
Epoch 9, training loss 0.159:  17%|█▋        | 31/182 [00:40<03:19,  1.32s/it]
Epoch 9, training loss 0.156:  17%|█▋        | 31/182 [00:41<03:22,  1.34s/it]
Epoch 9, training loss 0.156:  18%|█▊        | 32/182 [00:42<03:17,  1.31s/it]
Epoch 9, training loss 0.154:  18%|█▊        | 32/182 [00:42<03:20,  1.34s/it]
Epoch 9, training loss 0.154:  18%|█▊        | 33/182 [00:43<03:15,  1.31s/it]
Epoch 9, training loss 0.173:  18%|█▊        | 33/182 [00:43<03:18,  1.33s/it]
Epoch 9, training loss 0.173:  19%|█▊        | 34/182 [00:44<03:13,  1.31s/it]
Epoch 9, training loss 0.171:  19%|█▊        | 34/182 [00:45<03:16,  1.33s/it]
Epoch 9, training loss 0.171:  19%|█▉        | 35/182 [00:45<03:11,  1.30s/it]
Epoch 9, training loss 0.168:  19%|█▉        | 35/182 [00:46<03:14,  1.32s/it]
Epoch 9, training loss 0.168:  20%|█▉        | 36/182 [00:46<03:09,  1.30s/it]
Epoch 9, training loss 0.170:  20%|█▉        | 36/182 [00:47<03:12,  1.32s/it]
Epoch 9, training loss 0.170:  20%|██        | 37/182 [00:47<03:07,  1.29s/it]
Epoch 9, training loss 0.168:  20%|██        | 37/182 [00:48<03:10,  1.31s/it]
Epoch 9, training loss 0.168:  21%|██        | 38/182 [00:49<03:05,  1.29s/it]
Epoch 9, training loss 0.166:  21%|██        | 38/182 [00:49<03:08,  1.31s/it]
Epoch 9, training loss 0.166:  21%|██▏       | 39/182 [00:50<03:03,  1.29s/it]
Epoch 9, training loss 0.163:  21%|██▏       | 39/182 [00:50<03:06,  1.30s/it]
Epoch 9, training loss 0.163:  22%|██▏       | 40/182 [00:51<03:02,  1.28s/it]
Epoch 9, training loss 0.163:  22%|██▏       | 40/182 [00:51<03:04,  1.30s/it]
Epoch 9, training loss 0.163:  23%|██▎       | 41/182 [00:52<03:00,  1.28s/it]
Epoch 9, training loss 0.160:  23%|██▎       | 41/182 [00:53<03:02,  1.30s/it]
Epoch 9, training loss 0.160:  23%|██▎       | 42/182 [00:53<02:58,  1.28s/it]
Epoch 9, training loss 0.159:  23%|██▎       | 42/182 [00:54<03:01,  1.29s/it]
Epoch 9, training loss 0.159:  24%|██▎       | 43/182 [00:54<02:57,  1.28s/it]
Epoch 9, training loss 0.156:  24%|██▎       | 43/182 [00:55<02:59,  1.29s/it]
Epoch 9, training loss 0.156:  24%|██▍       | 44/182 [00:55<02:55,  1.27s/it]
Epoch 9, training loss 0.157:  24%|██▍       | 44/182 [00:56<02:57,  1.29s/it]
Epoch 9, training loss 0.157:  25%|██▍       | 45/182 [00:57<02:53,  1.27s/it]
Epoch 9, training loss 0.156:  25%|██▍       | 45/182 [00:57<02:55,  1.28s/it]
Epoch 9, training loss 0.156:  25%|██▌       | 46/182 [00:58<02:52,  1.27s/it]
Epoch 9, training loss 0.161:  25%|██▌       | 46/182 [00:58<02:54,  1.28s/it]
Epoch 9, training loss 0.161:  26%|██▌       | 47/182 [00:59<02:50,  1.26s/it]
Epoch 9, training loss 0.158:  26%|██▌       | 47/182 [01:00<02:52,  1.28s/it]
Epoch 9, training loss 0.158:  26%|██▋       | 48/182 [01:00<02:49,  1.26s/it]
Epoch 9, training loss 0.157:  26%|██▋       | 48/182 [01:01<02:51,  1.28s/it]
Epoch 9, training loss 0.157:  27%|██▋       | 49/182 [01:01<02:48,  1.26s/it]
Epoch 9, training loss 0.156:  27%|██▋       | 49/182 [01:02<02:49,  1.28s/it]
Epoch 9, training loss 0.156:  27%|██▋       | 50/182 [01:03<02:46,  1.26s/it]
Epoch 9, training loss 0.155:  27%|██▋       | 50/182 [01:03<02:48,  1.27s/it]
Epoch 9, training loss 0.155:  28%|██▊       | 51/182 [01:04<02:45,  1.26s/it]
Epoch 9, training loss 0.152:  28%|██▊       | 51/182 [01:04<02:46,  1.27s/it]
Epoch 9, training loss 0.152:  29%|██▊       | 52/182 [01:05<02:43,  1.26s/it]
Epoch 9, training loss 0.151:  29%|██▊       | 52/182 [01:06<02:45,  1.27s/it]
Epoch 9, training loss 0.151:  29%|██▉       | 53/182 [01:06<02:41,  1.26s/it]
Epoch 9, training loss 0.149:  29%|██▉       | 53/182 [01:07<02:43,  1.27s/it]
Epoch 9, training loss 0.149:  30%|██▉       | 54/182 [01:07<02:40,  1.25s/it]
Epoch 9, training loss 0.149:  30%|██▉       | 54/182 [01:08<02:41,  1.26s/it]
Epoch 9, training loss 0.149:  30%|███       | 55/182 [01:08<02:38,  1.25s/it]
Epoch 9, training loss 0.148:  30%|███       | 55/182 [01:09<02:40,  1.26s/it]
Epoch 9, training loss 0.148:  31%|███       | 56/182 [01:09<02:37,  1.25s/it]
Epoch 9, training loss 0.148:  31%|███       | 56/182 [01:10<02:38,  1.26s/it]
Epoch 9, training loss 0.148:  31%|███▏      | 57/182 [01:11<02:35,  1.25s/it]
Epoch 9, training loss 0.156:  31%|███▏      | 57/182 [01:11<02:37,  1.26s/it]
Epoch 9, training loss 0.156:  32%|███▏      | 58/182 [01:12<02:34,  1.25s/it]
Epoch 9, training loss 0.156:  32%|███▏      | 58/182 [01:12<02:35,  1.26s/it]
Epoch 9, training loss 0.156:  32%|███▏      | 59/182 [01:13<02:32,  1.24s/it]
Epoch 9, training loss 0.155:  32%|███▏      | 59/182 [01:13<02:34,  1.25s/it]
Epoch 9, training loss 0.155:  33%|███▎      | 60/182 [01:14<02:31,  1.24s/it]
Epoch 9, training loss 0.156:  33%|███▎      | 60/182 [01:15<02:32,  1.25s/it]
Epoch 9, training loss 0.156:  34%|███▎      | 61/182 [01:15<02:30,  1.24s/it]
Epoch 9, training loss 0.154:  34%|███▎      | 61/182 [01:16<02:31,  1.25s/it]
Epoch 9, training loss 0.154:  34%|███▍      | 62/182 [01:16<02:28,  1.24s/it]
Epoch 9, training loss 0.154:  34%|███▍      | 62/182 [01:17<02:29,  1.25s/it]
Epoch 9, training loss 0.154:  35%|███▍      | 63/182 [01:17<02:27,  1.24s/it]
Epoch 9, training loss 0.161:  35%|███▍      | 63/182 [01:18<02:28,  1.25s/it]
Epoch 9, training loss 0.161:  35%|███▌      | 64/182 [01:19<02:26,  1.24s/it]
Epoch 9, training loss 0.159:  35%|███▌      | 64/182 [01:19<02:27,  1.25s/it]
Epoch 9, training loss 0.159:  36%|███▌      | 65/182 [01:20<02:24,  1.24s/it]
Epoch 9, training loss 0.159:  36%|███▌      | 65/182 [01:21<02:25,  1.25s/it]
Epoch 9, training loss 0.159:  36%|███▋      | 66/182 [01:21<02:23,  1.24s/it]
Epoch 9, training loss 0.158:  36%|███▋      | 66/182 [01:22<02:24,  1.25s/it]
Epoch 9, training loss 0.158:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 9, training loss 0.156:  37%|███▋      | 67/182 [01:23<02:22,  1.24s/it]
Epoch 9, training loss 0.156:  37%|███▋      | 68/182 [01:23<02:20,  1.23s/it]
Epoch 9, training loss 0.159:  37%|███▋      | 68/182 [01:24<02:21,  1.24s/it]
Epoch 9, training loss 0.159:  38%|███▊      | 69/182 [01:24<02:19,  1.23s/it]
Epoch 9, training loss 0.159:  38%|███▊      | 69/182 [01:25<02:20,  1.24s/it]
Epoch 9, training loss 0.159:  38%|███▊      | 70/182 [01:26<02:17,  1.23s/it]
Epoch 9, training loss 0.159:  38%|███▊      | 70/182 [01:26<02:18,  1.24s/it]
Epoch 9, training loss 0.159:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 9, training loss 0.158:  39%|███▉      | 71/182 [01:28<02:17,  1.24s/it]
Epoch 9, training loss 0.158:  40%|███▉      | 72/182 [01:28<02:15,  1.23s/it]
Epoch 9, training loss 0.157:  40%|███▉      | 72/182 [01:29<02:16,  1.24s/it]
Epoch 9, training loss 0.157:  40%|████      | 73/182 [01:29<02:13,  1.23s/it]
Epoch 9, training loss 0.156:  40%|████      | 73/182 [01:30<02:14,  1.24s/it]
Epoch 9, training loss 0.156:  41%|████      | 74/182 [01:30<02:12,  1.23s/it]
Epoch 9, training loss 0.155:  41%|████      | 74/182 [01:31<02:13,  1.24s/it]
Epoch 9, training loss 0.155:  41%|████      | 75/182 [01:31<02:11,  1.23s/it]
Epoch 9, training loss 0.154:  41%|████      | 75/182 [01:32<02:12,  1.23s/it]
Epoch 9, training loss 0.154:  42%|████▏     | 76/182 [01:33<02:09,  1.22s/it]
Epoch 9, training loss 0.153:  42%|████▏     | 76/182 [01:33<02:10,  1.23s/it]
Epoch 9, training loss 0.153:  42%|████▏     | 77/182 [01:34<02:08,  1.22s/it]
Epoch 9, training loss 0.152:  42%|████▏     | 77/182 [01:34<02:09,  1.23s/it]
Epoch 9, training loss 0.152:  43%|████▎     | 78/182 [01:35<02:07,  1.22s/it]
Epoch 9, training loss 0.151:  43%|████▎     | 78/182 [01:35<02:07,  1.23s/it]
Epoch 9, training loss 0.151:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
Epoch 9, training loss 0.151:  43%|████▎     | 79/182 [01:37<02:06,  1.23s/it]
Epoch 9, training loss 0.151:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 9, training loss 0.150:  44%|████▍     | 80/182 [01:38<02:05,  1.23s/it]
Epoch 9, training loss 0.150:  45%|████▍     | 81/182 [01:38<02:03,  1.22s/it]
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Epoch 9, training loss 0.151:  45%|████▌     | 82/182 [01:39<02:01,  1.22s/it]
Epoch 9, training loss 0.151:  45%|████▌     | 82/182 [01:40<02:02,  1.23s/it]
Epoch 9, training loss 0.151:  46%|████▌     | 83/182 [01:41<02:00,  1.22s/it]
Epoch 9, training loss 0.150:  46%|████▌     | 83/182 [01:41<02:01,  1.22s/it]
Epoch 9, training loss 0.150:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 9, training loss 0.148:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 9, training loss 0.148:  47%|████▋     | 85/182 [01:43<01:57,  1.21s/it]
Epoch 9, training loss 0.147:  47%|████▋     | 85/182 [01:43<01:58,  1.22s/it]
Epoch 9, training loss 0.147:  47%|████▋     | 86/182 [01:44<01:56,  1.21s/it]
Epoch 9, training loss 0.149:  47%|████▋     | 86/182 [01:45<01:57,  1.22s/it]
Epoch 9, training loss 0.149:  48%|████▊     | 87/182 [01:45<01:55,  1.21s/it]
Epoch 9, training loss 0.148:  48%|████▊     | 87/182 [01:46<01:55,  1.22s/it]
Epoch 9, training loss 0.148:  48%|████▊     | 88/182 [01:46<01:53,  1.21s/it]
Epoch 9, training loss 0.147:  48%|████▊     | 88/182 [01:47<01:54,  1.22s/it]
Epoch 9, training loss 0.147:  49%|████▉     | 89/182 [01:47<01:52,  1.21s/it]
Epoch 9, training loss 0.146:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 9, training loss 0.146:  49%|████▉     | 90/182 [01:49<01:51,  1.21s/it]
Epoch 9, training loss 0.145:  49%|████▉     | 90/182 [01:49<01:52,  1.22s/it]
Epoch 9, training loss 0.145:  50%|█████     | 91/182 [01:50<01:50,  1.21s/it]
Epoch 9, training loss 0.147:  50%|█████     | 91/182 [01:50<01:50,  1.22s/it]
Epoch 9, training loss 0.147:  51%|█████     | 92/182 [01:51<01:48,  1.21s/it]
Epoch 9, training loss 0.147:  51%|█████     | 92/182 [01:52<01:49,  1.22s/it]
Epoch 9, training loss 0.147:  51%|█████     | 93/182 [01:52<01:47,  1.21s/it]
Epoch 9, training loss 0.146:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 9, training loss 0.146:  52%|█████▏    | 94/182 [01:53<01:46,  1.21s/it]
Epoch 9, training loss 0.145:  52%|█████▏    | 94/182 [01:54<01:47,  1.22s/it]
Epoch 9, training loss 0.145:  52%|█████▏    | 95/182 [01:54<01:45,  1.21s/it]
Epoch 9, training loss 0.148:  52%|█████▏    | 95/182 [01:55<01:45,  1.22s/it]
Epoch 9, training loss 0.148:  53%|█████▎    | 96/182 [01:55<01:43,  1.21s/it]
Epoch 9, training loss 0.146:  53%|█████▎    | 96/182 [01:56<01:44,  1.21s/it]
Epoch 9, training loss 0.146:  53%|█████▎    | 97/182 [01:57<01:42,  1.21s/it]
Epoch 9, training loss 0.146:  53%|█████▎    | 97/182 [01:57<01:43,  1.21s/it]
Epoch 9, training loss 0.146:  54%|█████▍    | 98/182 [01:58<01:41,  1.21s/it]
Epoch 9, training loss 0.147:  54%|█████▍    | 98/182 [01:58<01:41,  1.21s/it]
Epoch 9, training loss 0.147:  54%|█████▍    | 99/182 [01:59<01:40,  1.21s/it]
Epoch 9, training loss 0.147:  54%|█████▍    | 99/182 [02:00<01:40,  1.21s/it]
Epoch 9, training loss 0.147:  55%|█████▍    | 100/182 [02:00<01:38,  1.21s/it]
Epoch 9, training loss 0.146:  55%|█████▍    | 100/182 [02:01<01:39,  1.21s/it]
Epoch 9, training loss 0.146:  55%|█████▌    | 101/182 [02:01<01:37,  1.21s/it]
Epoch 9, training loss 0.145:  55%|█████▌    | 101/182 [02:02<01:38,  1.21s/it]
Epoch 9, training loss 0.145:  56%|█████▌    | 102/182 [02:03<01:36,  1.21s/it]
Epoch 9, training loss 0.144:  56%|█████▌    | 102/182 [02:03<01:37,  1.21s/it]
Epoch 9, training loss 0.144:  57%|█████▋    | 103/182 [02:04<01:35,  1.21s/it]
Epoch 9, training loss 0.144:  57%|█████▋    | 103/182 [02:04<01:35,  1.21s/it]
Epoch 9, training loss 0.144:  57%|█████▋    | 104/182 [02:05<01:34,  1.21s/it]
Epoch 9, training loss 0.144:  57%|█████▋    | 104/182 [02:06<01:34,  1.21s/it]
Epoch 9, training loss 0.144:  58%|█████▊    | 105/182 [02:06<01:32,  1.21s/it]
Epoch 9, training loss 0.143:  58%|█████▊    | 105/182 [02:07<01:33,  1.21s/it]
Epoch 9, training loss 0.143:  58%|█████▊    | 106/182 [02:07<01:31,  1.20s/it]
Epoch 9, training loss 0.143:  58%|█████▊    | 106/182 [02:08<01:32,  1.21s/it]
Epoch 9, training loss 0.143:  59%|█████▉    | 107/182 [02:08<01:30,  1.20s/it]
Epoch 9, training loss 0.143:  59%|█████▉    | 107/182 [02:09<01:30,  1.21s/it]
Epoch 9, training loss 0.143:  59%|█████▉    | 108/182 [02:10<01:29,  1.20s/it]
Epoch 9, training loss 0.142:  59%|█████▉    | 108/182 [02:10<01:29,  1.21s/it]
Epoch 9, training loss 0.142:  60%|█████▉    | 109/182 [02:11<01:27,  1.20s/it]
Epoch 9, training loss 0.142:  60%|█████▉    | 109/182 [02:11<01:28,  1.21s/it]
Epoch 9, training loss 0.142:  60%|██████    | 110/182 [02:12<01:26,  1.20s/it]
Epoch 9, training loss 0.152:  60%|██████    | 110/182 [02:13<01:27,  1.21s/it]
Epoch 9, training loss 0.152:  61%|██████    | 111/182 [02:13<01:25,  1.20s/it]
Epoch 9, training loss 0.151:  61%|██████    | 111/182 [02:14<01:25,  1.21s/it]
Epoch 9, training loss 0.151:  62%|██████▏   | 112/182 [02:14<01:24,  1.20s/it]
Epoch 9, training loss 0.150:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 9, training loss 0.150:  62%|██████▏   | 113/182 [02:15<01:22,  1.20s/it]
Epoch 9, training loss 0.149:  62%|██████▏   | 113/182 [02:16<01:23,  1.21s/it]
Epoch 9, training loss 0.149:  63%|██████▎   | 114/182 [02:16<01:21,  1.20s/it]
Epoch 9, training loss 0.148:  63%|██████▎   | 114/182 [02:17<01:22,  1.21s/it]
Epoch 9, training loss 0.148:  63%|██████▎   | 115/182 [02:18<01:20,  1.20s/it]
Epoch 9, training loss 0.148:  63%|██████▎   | 115/182 [02:18<01:20,  1.21s/it]
Epoch 9, training loss 0.148:  64%|██████▎   | 116/182 [02:19<01:19,  1.20s/it]
Epoch 9, training loss 0.147:  64%|██████▎   | 116/182 [02:19<01:19,  1.21s/it]
Epoch 9, training loss 0.147:  64%|██████▍   | 117/182 [02:20<01:18,  1.20s/it]
Epoch 9, training loss 0.146:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 9, training loss 0.146:  65%|██████▍   | 118/182 [02:21<01:16,  1.20s/it]
Epoch 9, training loss 0.146:  65%|██████▍   | 118/182 [02:22<01:17,  1.21s/it]
Epoch 9, training loss 0.146:  65%|██████▌   | 119/182 [02:22<01:15,  1.20s/it]
Epoch 9, training loss 0.145:  65%|██████▌   | 119/182 [02:23<01:15,  1.21s/it]
Epoch 9, training loss 0.145:  66%|██████▌   | 120/182 [02:23<01:14,  1.20s/it]
Epoch 9, training loss 0.144:  66%|██████▌   | 120/182 [02:24<01:14,  1.20s/it]
Epoch 9, training loss 0.144:  66%|██████▋   | 121/182 [02:25<01:13,  1.20s/it]
Epoch 9, training loss 0.144:  66%|██████▋   | 121/182 [02:25<01:13,  1.20s/it]
Epoch 9, training loss 0.144:  67%|██████▋   | 122/182 [02:26<01:11,  1.20s/it]
Epoch 9, training loss 0.143:  67%|██████▋   | 122/182 [02:26<01:12,  1.20s/it]
Epoch 9, training loss 0.143:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 9, training loss 0.142:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 9, training loss 0.142:  68%|██████▊   | 124/182 [02:28<01:09,  1.20s/it]
Epoch 9, training loss 0.142:  68%|██████▊   | 124/182 [02:29<01:09,  1.20s/it]
Epoch 9, training loss 0.142:  69%|██████▊   | 125/182 [02:29<01:08,  1.20s/it]
Epoch 9, training loss 0.141:  69%|██████▊   | 125/182 [02:30<01:08,  1.20s/it]
Epoch 9, training loss 0.141:  69%|██████▉   | 126/182 [02:30<01:07,  1.20s/it]
Epoch 9, training loss 0.141:  69%|██████▉   | 126/182 [02:31<01:07,  1.20s/it]
Epoch 9, training loss 0.141:  70%|██████▉   | 127/182 [02:32<01:05,  1.20s/it]
Epoch 9, training loss 0.141:  70%|██████▉   | 127/182 [02:32<01:06,  1.20s/it]
Epoch 9, training loss 0.141:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 9, training loss 0.140:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 9, training loss 0.140:  71%|███████   | 129/182 [02:34<01:03,  1.20s/it]
Epoch 9, training loss 0.140:  71%|███████   | 129/182 [02:35<01:03,  1.20s/it]
Epoch 9, training loss 0.140:  71%|███████▏  | 130/182 [02:35<01:02,  1.20s/it]
Epoch 9, training loss 0.140:  71%|███████▏  | 130/182 [02:36<01:02,  1.20s/it]
Epoch 9, training loss 0.140:  72%|███████▏  | 131/182 [02:36<01:00,  1.20s/it]
Epoch 9, training loss 0.139:  72%|███████▏  | 131/182 [02:37<01:01,  1.20s/it]
Epoch 9, training loss 0.139:  73%|███████▎  | 132/182 [02:37<00:59,  1.20s/it]
Epoch 9, training loss 0.138:  73%|███████▎  | 132/182 [02:38<01:00,  1.20s/it]
Epoch 9, training loss 0.138:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 9, training loss 0.138:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 9, training loss 0.138:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
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Epoch 9, training loss 0.138:  74%|███████▍  | 135/182 [02:41<00:56,  1.20s/it]
Epoch 9, training loss 0.139:  74%|███████▍  | 135/182 [02:42<00:56,  1.20s/it]
Epoch 9, training loss 0.139:  75%|███████▍  | 136/182 [02:42<00:54,  1.20s/it]
Epoch 9, training loss 0.138:  75%|███████▍  | 136/182 [02:43<00:55,  1.20s/it]
Epoch 9, training loss 0.138:  75%|███████▌  | 137/182 [02:43<00:53,  1.20s/it]
Epoch 9, training loss 0.138:  75%|███████▌  | 137/182 [02:44<00:53,  1.20s/it]
Epoch 9, training loss 0.138:  76%|███████▌  | 138/182 [02:44<00:52,  1.19s/it]
Epoch 9, training loss 0.139:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 9, training loss 0.139:  76%|███████▋  | 139/182 [02:45<00:51,  1.19s/it]
Epoch 9, training loss 0.140:  76%|███████▋  | 139/182 [02:46<00:51,  1.20s/it]
Epoch 9, training loss 0.140:  77%|███████▋  | 140/182 [02:47<00:50,  1.19s/it]
Epoch 9, training loss 0.141:  77%|███████▋  | 140/182 [02:47<00:50,  1.20s/it]
Epoch 9, training loss 0.141:  77%|███████▋  | 141/182 [02:48<00:48,  1.19s/it]
Epoch 9, training loss 0.140:  77%|███████▋  | 141/182 [02:48<00:49,  1.20s/it]
Epoch 9, training loss 0.140:  78%|███████▊  | 142/182 [02:49<00:47,  1.19s/it]
Epoch 9, training loss 0.141:  78%|███████▊  | 142/182 [02:50<00:47,  1.20s/it]
Epoch 9, training loss 0.141:  79%|███████▊  | 143/182 [02:50<00:46,  1.19s/it]
Epoch 9, training loss 0.140:  79%|███████▊  | 143/182 [02:51<00:46,  1.20s/it]
Epoch 9, training loss 0.140:  79%|███████▉  | 144/182 [02:51<00:45,  1.19s/it]
Epoch 9, training loss 0.141:  79%|███████▉  | 144/182 [02:52<00:45,  1.20s/it]
Epoch 9, training loss 0.141:  80%|███████▉  | 145/182 [02:52<00:44,  1.19s/it]
Epoch 9, training loss 0.140:  80%|███████▉  | 145/182 [02:53<00:44,  1.20s/it]
Epoch 9, training loss 0.140:  80%|████████  | 146/182 [02:53<00:42,  1.19s/it]
Epoch 9, training loss 0.141:  80%|████████  | 146/182 [02:54<00:43,  1.20s/it]
Epoch 9, training loss 0.141:  81%|████████  | 147/182 [02:55<00:41,  1.19s/it]
Epoch 9, training loss 0.141:  81%|████████  | 147/182 [02:55<00:41,  1.20s/it]
Epoch 9, training loss 0.141:  81%|████████▏ | 148/182 [02:56<00:40,  1.19s/it]
Epoch 9, training loss 0.142:  81%|████████▏ | 148/182 [02:57<00:40,  1.20s/it]
Epoch 9, training loss 0.142:  82%|████████▏ | 149/182 [02:57<00:39,  1.19s/it]
Epoch 9, training loss 0.141:  82%|████████▏ | 149/182 [02:58<00:39,  1.20s/it]
Epoch 9, training loss 0.141:  82%|████████▏ | 150/182 [02:58<00:38,  1.19s/it]
Epoch 9, training loss 0.142:  82%|████████▏ | 150/182 [02:59<00:38,  1.19s/it]
Epoch 9, training loss 0.142:  83%|████████▎ | 151/182 [02:59<00:36,  1.19s/it]
Epoch 9, training loss 0.142:  83%|████████▎ | 151/182 [03:00<00:37,  1.19s/it]
Epoch 9, training loss 0.142:  84%|████████▎ | 152/182 [03:00<00:35,  1.19s/it]
Epoch 9, training loss 0.142:  84%|████████▎ | 152/182 [03:01<00:35,  1.19s/it]
Epoch 9, training loss 0.142:  84%|████████▍ | 153/182 [03:01<00:34,  1.19s/it]
Epoch 9, training loss 0.142:  84%|████████▍ | 153/182 [03:02<00:34,  1.19s/it]
Epoch 9, training loss 0.142:  85%|████████▍ | 154/182 [03:03<00:33,  1.19s/it]
Epoch 9, training loss 0.142:  85%|████████▍ | 154/182 [03:03<00:33,  1.19s/it]
Epoch 9, training loss 0.142:  85%|████████▌ | 155/182 [03:04<00:32,  1.19s/it]
Epoch 9, training loss 0.141:  85%|████████▌ | 155/182 [03:04<00:32,  1.19s/it]
Epoch 9, training loss 0.141:  86%|████████▌ | 156/182 [03:05<00:30,  1.19s/it]
Epoch 9, training loss 0.141:  86%|████████▌ | 156/182 [03:06<00:31,  1.19s/it]
Epoch 9, training loss 0.141:  86%|████████▋ | 157/182 [03:06<00:29,  1.19s/it]
Epoch 9, training loss 0.140:  86%|████████▋ | 157/182 [03:07<00:29,  1.19s/it]
Epoch 9, training loss 0.140:  87%|████████▋ | 158/182 [03:07<00:28,  1.19s/it]
Epoch 9, training loss 0.141:  87%|████████▋ | 158/182 [03:08<00:28,  1.19s/it]
Epoch 9, training loss 0.141:  87%|████████▋ | 159/182 [03:08<00:27,  1.19s/it]
Epoch 9, training loss 0.140:  87%|████████▋ | 159/182 [03:09<00:27,  1.19s/it]
Epoch 9, training loss 0.140:  88%|████████▊ | 160/182 [03:10<00:26,  1.19s/it]
Epoch 9, training loss 0.140:  88%|████████▊ | 160/182 [03:10<00:26,  1.19s/it]
Epoch 9, training loss 0.140:  88%|████████▊ | 161/182 [03:11<00:24,  1.19s/it]
Epoch 9, training loss 0.139:  88%|████████▊ | 161/182 [03:11<00:25,  1.19s/it]
Epoch 9, training loss 0.139:  89%|████████▉ | 162/182 [03:12<00:23,  1.19s/it]
Epoch 9, training loss 0.139:  89%|████████▉ | 162/182 [03:13<00:23,  1.19s/it]
Epoch 9, training loss 0.139:  90%|████████▉ | 163/182 [03:13<00:22,  1.19s/it]
Epoch 9, training loss 0.139:  90%|████████▉ | 163/182 [03:14<00:22,  1.19s/it]
Epoch 9, training loss 0.139:  90%|█████████ | 164/182 [03:14<00:21,  1.19s/it]
Epoch 9, training loss 0.138:  90%|█████████ | 164/182 [03:15<00:21,  1.19s/it]
Epoch 9, training loss 0.138:  91%|█████████ | 165/182 [03:15<00:20,  1.19s/it]
Epoch 9, training loss 0.141:  91%|█████████ | 165/182 [03:16<00:20,  1.19s/it]
Epoch 9, training loss 0.141:  91%|█████████ | 166/182 [03:17<00:18,  1.19s/it]
Epoch 9, training loss 0.141:  91%|█████████ | 166/182 [03:17<00:19,  1.19s/it]
Epoch 9, training loss 0.141:  92%|█████████▏| 167/182 [03:18<00:17,  1.19s/it]
Epoch 9, training loss 0.146:  92%|█████████▏| 167/182 [03:18<00:17,  1.19s/it]
Epoch 9, training loss 0.146:  92%|█████████▏| 168/182 [03:19<00:16,  1.19s/it]
Epoch 9, training loss 0.146:  92%|█████████▏| 168/182 [03:19<00:16,  1.19s/it]
Epoch 9, training loss 0.146:  93%|█████████▎| 169/182 [03:20<00:15,  1.19s/it]
Epoch 9, training loss 0.145:  93%|█████████▎| 169/182 [03:20<00:15,  1.19s/it]
Epoch 9, training loss 0.145:  93%|█████████▎| 170/182 [03:21<00:14,  1.18s/it]
Epoch 9, training loss 0.145:  93%|█████████▎| 170/182 [03:22<00:14,  1.19s/it]
Epoch 9, training loss 0.145:  94%|█████████▍| 171/182 [03:22<00:13,  1.18s/it]
Epoch 9, training loss 0.146:  94%|█████████▍| 171/182 [03:23<00:13,  1.19s/it]
Epoch 9, training loss 0.146:  95%|█████████▍| 172/182 [03:23<00:11,  1.19s/it]
Epoch 9, training loss 0.146:  95%|█████████▍| 172/182 [03:24<00:11,  1.19s/it]
Epoch 9, training loss 0.146:  95%|█████████▌| 173/182 [03:24<00:10,  1.18s/it]
Epoch 9, training loss 0.146:  95%|█████████▌| 173/182 [03:25<00:10,  1.19s/it]
Epoch 9, training loss 0.146:  96%|█████████▌| 174/182 [03:26<00:09,  1.18s/it]
Epoch 9, training loss 0.145:  96%|█████████▌| 174/182 [03:26<00:09,  1.19s/it]
Epoch 9, training loss 0.145:  96%|█████████▌| 175/182 [03:27<00:08,  1.18s/it]
Epoch 9, training loss 0.145:  96%|█████████▌| 175/182 [03:27<00:08,  1.19s/it]
Epoch 9, training loss 0.145:  97%|█████████▋| 176/182 [03:28<00:07,  1.18s/it]
Epoch 9, training loss 0.145:  97%|█████████▋| 176/182 [03:29<00:07,  1.19s/it]
Epoch 9, training loss 0.145:  97%|█████████▋| 177/182 [03:29<00:05,  1.18s/it]
Epoch 9, training loss 0.145:  97%|█████████▋| 177/182 [03:30<00:05,  1.19s/it]
Epoch 9, training loss 0.145:  98%|█████████▊| 178/182 [03:30<00:04,  1.18s/it]
Epoch 9, training loss 0.146:  98%|█████████▊| 178/182 [03:31<00:04,  1.19s/it]
Epoch 9, training loss 0.146:  98%|█████████▊| 179/182 [03:31<00:03,  1.18s/it]
Epoch 9, training loss 0.145:  98%|█████████▊| 179/182 [03:32<00:03,  1.19s/it]
Epoch 9, training loss 0.145:  99%|█████████▉| 180/182 [03:33<00:02,  1.18s/it]
Epoch 9, training loss 0.145:  99%|█████████▉| 180/182 [03:33<00:02,  1.19s/it]
Epoch 9, training loss 0.145:  99%|█████████▉| 181/182 [03:34<00:01,  1.18s/it]
Epoch 9, training loss 0.144:  99%|█████████▉| 181/182 [03:34<00:01,  1.19s/it]
Epoch 9, training loss 0.144: 100%|██████████| 182/182 [03:35<00:00,  1.18s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 9, validation pixAcc: 0.976, mIoU: 0.515:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 9, validation pixAcc: 0.976, mIoU: 0.515:   1%|          | 1/90 [00:04<06:54,  4.66s/it]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.664:   1%|          | 1/90 [00:05<07:31,  5.08s/it]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.664:   2%|▏         | 2/90 [00:05<03:43,  2.54s/it]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.784:   2%|▏         | 2/90 [00:05<04:01,  2.75s/it]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.784:   3%|▎         | 3/90 [00:05<02:39,  1.83s/it]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.829:   3%|▎         | 3/90 [00:05<02:51,  1.98s/it]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.829:   4%|▍         | 4/90 [00:05<02:07,  1.48s/it]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.884:   4%|▍         | 4/90 [00:06<02:17,  1.60s/it]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.884:   6%|▌         | 5/90 [00:06<01:48,  1.28s/it]
Epoch 9, validation pixAcc: 0.969, mIoU: 0.879:   6%|▌         | 5/90 [00:06<01:56,  1.37s/it]
Epoch 9, validation pixAcc: 0.969, mIoU: 0.879:   7%|▋         | 6/90 [00:06<01:35,  1.14s/it]
Epoch 9, validation pixAcc: 0.970, mIoU: 0.874:   7%|▋         | 6/90 [00:07<01:42,  1.22s/it]
Epoch 9, validation pixAcc: 0.970, mIoU: 0.874:   8%|▊         | 7/90 [00:07<01:26,  1.04s/it]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.877:   8%|▊         | 7/90 [00:07<01:31,  1.10s/it]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.877:   9%|▉         | 8/90 [00:07<01:19,  1.04it/s]
Epoch 9, validation pixAcc: 0.973, mIoU: 0.880:   9%|▉         | 8/90 [00:08<01:23,  1.02s/it]
Epoch 9, validation pixAcc: 0.973, mIoU: 0.880:  10%|█         | 9/90 [00:08<01:13,  1.10it/s]
Epoch 9, validation pixAcc: 0.973, mIoU: 0.888:  10%|█         | 9/90 [00:08<01:17,  1.05it/s]
Epoch 9, validation pixAcc: 0.973, mIoU: 0.888:  11%|█         | 10/90 [00:08<01:08,  1.17it/s]
Epoch 9, validation pixAcc: 0.973, mIoU: 0.885:  11%|█         | 10/90 [00:08<01:11,  1.11it/s]
Epoch 9, validation pixAcc: 0.973, mIoU: 0.885:  12%|█▏        | 11/90 [00:08<01:04,  1.22it/s]
Epoch 9, validation pixAcc: 0.973, mIoU: 0.881:  12%|█▏        | 11/90 [00:09<01:07,  1.17it/s]
Epoch 9, validation pixAcc: 0.973, mIoU: 0.881:  13%|█▎        | 12/90 [00:09<01:01,  1.27it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.887:  13%|█▎        | 12/90 [00:09<01:04,  1.22it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.887:  14%|█▍        | 13/90 [00:09<00:58,  1.32it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.891:  14%|█▍        | 13/90 [00:10<01:01,  1.26it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.891:  16%|█▌        | 14/90 [00:10<00:56,  1.36it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.893:  16%|█▌        | 14/90 [00:10<00:58,  1.30it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.893:  17%|█▋        | 15/90 [00:10<00:53,  1.39it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.897:  17%|█▋        | 15/90 [00:11<00:55,  1.34it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.897:  18%|█▊        | 16/90 [00:11<00:51,  1.43it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.896:  18%|█▊        | 16/90 [00:11<00:53,  1.38it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.896:  19%|█▉        | 17/90 [00:11<00:49,  1.46it/s]
Epoch 9, validation pixAcc: 0.973, mIoU: 0.889:  19%|█▉        | 17/90 [00:12<00:51,  1.41it/s]
Epoch 9, validation pixAcc: 0.973, mIoU: 0.889:  20%|██        | 18/90 [00:12<00:48,  1.50it/s]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.886:  20%|██        | 18/90 [00:12<00:49,  1.44it/s]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.886:  21%|██        | 19/90 [00:12<00:46,  1.52it/s]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.885:  21%|██        | 19/90 [00:12<00:48,  1.47it/s]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.885:  22%|██▏       | 20/90 [00:12<00:45,  1.55it/s]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.884:  22%|██▏       | 20/90 [00:13<00:46,  1.50it/s]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.884:  23%|██▎       | 21/90 [00:13<00:43,  1.57it/s]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.885:  23%|██▎       | 21/90 [00:13<00:45,  1.53it/s]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.885:  24%|██▍       | 22/90 [00:13<00:42,  1.60it/s]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.886:  24%|██▍       | 22/90 [00:14<00:43,  1.56it/s]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.886:  26%|██▌       | 23/90 [00:14<00:41,  1.63it/s]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.885:  26%|██▌       | 23/90 [00:14<00:42,  1.58it/s]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.885:  27%|██▋       | 24/90 [00:14<00:40,  1.65it/s]
Epoch 9, validation pixAcc: 0.973, mIoU: 0.887:  27%|██▋       | 24/90 [00:14<00:41,  1.60it/s]
Epoch 9, validation pixAcc: 0.973, mIoU: 0.887:  28%|██▊       | 25/90 [00:14<00:38,  1.67it/s]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.887:  28%|██▊       | 25/90 [00:15<00:39,  1.63it/s]
Epoch 9, validation pixAcc: 0.972, mIoU: 0.887:  29%|██▉       | 26/90 [00:15<00:37,  1.69it/s]
Epoch 9, validation pixAcc: 0.973, mIoU: 0.891:  29%|██▉       | 26/90 [00:15<00:38,  1.65it/s]
Epoch 9, validation pixAcc: 0.973, mIoU: 0.891:  30%|███       | 27/90 [00:15<00:36,  1.71it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.893:  30%|███       | 27/90 [00:16<00:37,  1.67it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.893:  31%|███       | 28/90 [00:16<00:35,  1.73it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.892:  31%|███       | 28/90 [00:16<00:36,  1.69it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.892:  32%|███▏      | 29/90 [00:16<00:34,  1.75it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.894:  32%|███▏      | 29/90 [00:16<00:35,  1.71it/s]
Epoch 9, validation pixAcc: 0.974, mIoU: 0.894:  33%|███▎      | 30/90 [00:16<00:33,  1.77it/s]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.896:  33%|███▎      | 30/90 [00:17<00:34,  1.72it/s]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.896:  34%|███▍      | 31/90 [00:17<00:33,  1.78it/s]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.897:  34%|███▍      | 31/90 [00:17<00:33,  1.74it/s]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.897:  36%|███▌      | 32/90 [00:17<00:32,  1.80it/s]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.898:  36%|███▌      | 32/90 [00:18<00:33,  1.75it/s]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.898:  37%|███▋      | 33/90 [00:18<00:31,  1.81it/s]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.899:  37%|███▋      | 33/90 [00:18<00:32,  1.77it/s]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.899:  38%|███▊      | 34/90 [00:18<00:30,  1.82it/s]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.899:  38%|███▊      | 34/90 [00:19<00:31,  1.78it/s]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.899:  39%|███▉      | 35/90 [00:19<00:30,  1.83it/s]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.899:  39%|███▉      | 35/90 [00:19<00:30,  1.79it/s]
Epoch 9, validation pixAcc: 0.975, mIoU: 0.899:  40%|████      | 36/90 [00:19<00:29,  1.84it/s]
Epoch 9, validation pixAcc: 0.976, mIoU: 0.899:  40%|████      | 36/90 [00:19<00:29,  1.80it/s]
Epoch 9, validation pixAcc: 0.976, mIoU: 0.899:  41%|████      | 37/90 [00:19<00:28,  1.85it/s]
Epoch 9, validation pixAcc: 0.976, mIoU: 0.899:  41%|████      | 37/90 [00:20<00:29,  1.82it/s]
Epoch 9, validation pixAcc: 0.976, mIoU: 0.899:  42%|████▏     | 38/90 [00:20<00:27,  1.86it/s]
Epoch 9, validation pixAcc: 0.976, mIoU: 0.900:  42%|████▏     | 38/90 [00:20<00:28,  1.83it/s]
Epoch 9, validation pixAcc: 0.976, mIoU: 0.900:  43%|████▎     | 39/90 [00:20<00:27,  1.88it/s]
Epoch 9, validation pixAcc: 0.976, mIoU: 0.900:  43%|████▎     | 39/90 [00:21<00:27,  1.84it/s]
Epoch 9, validation pixAcc: 0.976, mIoU: 0.900:  44%|████▍     | 40/90 [00:21<00:26,  1.89it/s]
Epoch 9, validation pixAcc: 0.976, mIoU: 0.901:  44%|████▍     | 40/90 [00:21<00:26,  1.85it/s]
Epoch 9, validation pixAcc: 0.976, mIoU: 0.901:  46%|████▌     | 41/90 [00:21<00:25,  1.90it/s]
Epoch 9, validation pixAcc: 0.976, mIoU: 0.901:  46%|████▌     | 41/90 [00:22<00:26,  1.86it/s]
Epoch 9, validation pixAcc: 0.976, mIoU: 0.901:  47%|████▋     | 42/90 [00:22<00:25,  1.90it/s]
Epoch 9, validation pixAcc: 0.977, mIoU: 0.902:  47%|████▋     | 42/90 [00:22<00:25,  1.87it/s]
Epoch 9, validation pixAcc: 0.977, mIoU: 0.902:  48%|████▊     | 43/90 [00:22<00:24,  1.91it/s]
Epoch 9, validation pixAcc: 0.977, mIoU: 0.903:  48%|████▊     | 43/90 [00:22<00:25,  1.88it/s]
Epoch 9, validation pixAcc: 0.977, mIoU: 0.903:  49%|████▉     | 44/90 [00:22<00:23,  1.92it/s]
Epoch 9, validation pixAcc: 0.977, mIoU: 0.903:  49%|████▉     | 44/90 [00:23<00:24,  1.89it/s]
Epoch 9, validation pixAcc: 0.977, mIoU: 0.903:  50%|█████     | 45/90 [00:23<00:23,  1.93it/s]
Epoch 9, validation pixAcc: 0.977, mIoU: 0.903:  50%|█████     | 45/90 [00:23<00:23,  1.90it/s]
Epoch 9, validation pixAcc: 0.977, mIoU: 0.903:  51%|█████     | 46/90 [00:23<00:22,  1.94it/s]
Epoch 9, validation pixAcc: 0.977, mIoU: 0.904:  51%|█████     | 46/90 [00:24<00:23,  1.90it/s]
Epoch 9, validation pixAcc: 0.977, mIoU: 0.904:  52%|█████▏    | 47/90 [00:24<00:22,  1.94it/s]
Epoch 9, validation pixAcc: 0.977, mIoU: 0.903:  52%|█████▏    | 47/90 [00:24<00:22,  1.91it/s]
Epoch 9, validation pixAcc: 0.977, mIoU: 0.903:  53%|█████▎    | 48/90 [00:24<00:21,  1.95it/s]
Epoch 9, validation pixAcc: 0.977, mIoU: 0.903:  53%|█████▎    | 48/90 [00:25<00:21,  1.92it/s]
Epoch 9, validation pixAcc: 0.977, mIoU: 0.903:  54%|█████▍    | 49/90 [00:25<00:20,  1.96it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.904:  54%|█████▍    | 49/90 [00:25<00:21,  1.92it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.904:  56%|█████▌    | 50/90 [00:25<00:20,  1.96it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.905:  56%|█████▌    | 50/90 [00:25<00:20,  1.93it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.905:  57%|█████▋    | 51/90 [00:25<00:19,  1.97it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.905:  57%|█████▋    | 51/90 [00:26<00:20,  1.94it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.905:  58%|█████▊    | 52/90 [00:26<00:19,  1.97it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.904:  58%|█████▊    | 52/90 [00:26<00:19,  1.94it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.904:  59%|█████▉    | 53/90 [00:26<00:18,  1.98it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.905:  59%|█████▉    | 53/90 [00:27<00:19,  1.95it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.905:  60%|██████    | 54/90 [00:27<00:18,  1.98it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.905:  60%|██████    | 54/90 [00:27<00:18,  1.95it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.905:  61%|██████    | 55/90 [00:27<00:17,  1.99it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.906:  61%|██████    | 55/90 [00:28<00:17,  1.96it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.906:  62%|██████▏   | 56/90 [00:28<00:17,  1.99it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.906:  62%|██████▏   | 56/90 [00:28<00:17,  1.96it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.906:  63%|██████▎   | 57/90 [00:28<00:16,  2.00it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.906:  63%|██████▎   | 57/90 [00:28<00:16,  1.97it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.906:  64%|██████▍   | 58/90 [00:28<00:15,  2.00it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.905:  64%|██████▍   | 58/90 [00:29<00:16,  1.98it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.905:  66%|██████▌   | 59/90 [00:29<00:15,  2.01it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.906:  66%|██████▌   | 59/90 [00:29<00:15,  1.98it/s]
Epoch 9, validation pixAcc: 0.978, mIoU: 0.906:  67%|██████▋   | 60/90 [00:29<00:14,  2.02it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.907:  67%|██████▋   | 60/90 [00:30<00:15,  1.99it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.907:  68%|██████▊   | 61/90 [00:30<00:14,  2.03it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.907:  68%|██████▊   | 61/90 [00:30<00:14,  2.00it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.907:  69%|██████▉   | 62/90 [00:30<00:13,  2.03it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.908:  69%|██████▉   | 62/90 [00:30<00:13,  2.01it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.908:  70%|███████   | 63/90 [00:30<00:13,  2.04it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.909:  70%|███████   | 63/90 [00:31<00:13,  2.01it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.909:  71%|███████   | 64/90 [00:31<00:12,  2.05it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.909:  71%|███████   | 64/90 [00:31<00:12,  2.02it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.909:  72%|███████▏  | 65/90 [00:31<00:12,  2.05it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.909:  72%|███████▏  | 65/90 [00:32<00:12,  2.02it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.909:  73%|███████▎  | 66/90 [00:32<00:11,  2.05it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.909:  73%|███████▎  | 66/90 [00:32<00:11,  2.03it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.909:  74%|███████▍  | 67/90 [00:32<00:11,  2.06it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.909:  74%|███████▍  | 67/90 [00:33<00:11,  2.03it/s]
Epoch 9, validation pixAcc: 0.979, mIoU: 0.909:  76%|███████▌  | 68/90 [00:33<00:10,  2.06it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.909:  76%|███████▌  | 68/90 [00:33<00:10,  2.03it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.909:  77%|███████▋  | 69/90 [00:33<00:10,  2.06it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.910:  77%|███████▋  | 69/90 [00:33<00:10,  2.04it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.910:  78%|███████▊  | 70/90 [00:33<00:09,  2.07it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.910:  78%|███████▊  | 70/90 [00:34<00:09,  2.04it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.910:  79%|███████▉  | 71/90 [00:34<00:09,  2.07it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.910:  79%|███████▉  | 71/90 [00:34<00:09,  2.05it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.910:  80%|████████  | 72/90 [00:34<00:08,  2.07it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.910:  80%|████████  | 72/90 [00:35<00:08,  2.05it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.910:  81%|████████  | 73/90 [00:35<00:08,  2.08it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.911:  81%|████████  | 73/90 [00:35<00:08,  2.06it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.911:  82%|████████▏ | 74/90 [00:35<00:07,  2.08it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.911:  82%|████████▏ | 74/90 [00:35<00:07,  2.06it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.911:  83%|████████▎ | 75/90 [00:35<00:07,  2.09it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.911:  83%|████████▎ | 75/90 [00:36<00:07,  2.07it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.911:  84%|████████▍ | 76/90 [00:36<00:06,  2.09it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.911:  84%|████████▍ | 76/90 [00:36<00:06,  2.07it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.911:  86%|████████▌ | 77/90 [00:36<00:06,  2.10it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.911:  86%|████████▌ | 77/90 [00:37<00:06,  2.07it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.911:  87%|████████▋ | 78/90 [00:37<00:05,  2.10it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.912:  87%|████████▋ | 78/90 [00:37<00:05,  2.08it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.912:  88%|████████▊ | 79/90 [00:37<00:05,  2.10it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.912:  88%|████████▊ | 79/90 [00:37<00:05,  2.08it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.912:  89%|████████▉ | 80/90 [00:37<00:04,  2.11it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.912:  89%|████████▉ | 80/90 [00:38<00:04,  2.08it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.912:  90%|█████████ | 81/90 [00:38<00:04,  2.11it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.913:  90%|█████████ | 81/90 [00:38<00:04,  2.09it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.913:  91%|█████████ | 82/90 [00:38<00:03,  2.11it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.913:  91%|█████████ | 82/90 [00:39<00:03,  2.09it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.913:  92%|█████████▏| 83/90 [00:39<00:03,  2.11it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.913:  92%|█████████▏| 83/90 [00:39<00:03,  2.09it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.913:  93%|█████████▎| 84/90 [00:39<00:02,  2.12it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.914:  93%|█████████▎| 84/90 [00:40<00:02,  2.10it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.914:  94%|█████████▍| 85/90 [00:40<00:02,  2.12it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.913:  94%|█████████▍| 85/90 [00:40<00:02,  2.10it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.913:  96%|█████████▌| 86/90 [00:40<00:01,  2.12it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.913:  96%|█████████▌| 86/90 [00:40<00:01,  2.10it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.913:  97%|█████████▋| 87/90 [00:40<00:01,  2.13it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.913:  97%|█████████▋| 87/90 [00:41<00:01,  2.11it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.913:  98%|█████████▊| 88/90 [00:41<00:00,  2.13it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.913:  98%|█████████▊| 88/90 [00:41<00:00,  2.11it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.913:  99%|█████████▉| 89/90 [00:41<00:00,  2.13it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.912:  99%|█████████▉| 89/90 [00:42<00:00,  2.11it/s]
Epoch 9, validation pixAcc: 0.980, mIoU: 0.912: 100%|██████████| 90/90 [00:42<00:00,  2.14it/s]

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Epoch 10, training loss 0.149:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 10, training loss 0.149:   1%|          | 1/182 [00:05<15:24,  5.11s/it]
Epoch 10, training loss 0.127:   1%|          | 1/182 [00:05<17:30,  5.80s/it]
Epoch 10, training loss 0.127:   1%|          | 2/182 [00:06<09:25,  3.14s/it]
Epoch 10, training loss 0.135:   1%|          | 2/182 [00:06<10:28,  3.49s/it]
Epoch 10, training loss 0.135:   2%|▏         | 3/182 [00:07<07:27,  2.50s/it]
Epoch 10, training loss 0.164:   2%|▏         | 3/182 [00:08<08:08,  2.73s/it]
Epoch 10, training loss 0.164:   2%|▏         | 4/182 [00:08<06:28,  2.18s/it]
Epoch 10, training loss 0.172:   2%|▏         | 4/182 [00:09<06:59,  2.36s/it]
Epoch 10, training loss 0.172:   3%|▎         | 5/182 [00:09<05:52,  1.99s/it]
Epoch 10, training loss 0.158:   3%|▎         | 5/182 [00:10<06:18,  2.14s/it]
Epoch 10, training loss 0.158:   3%|▎         | 6/182 [00:11<05:29,  1.87s/it]
Epoch 10, training loss 0.152:   3%|▎         | 6/182 [00:11<05:50,  1.99s/it]
Epoch 10, training loss 0.152:   4%|▍         | 7/182 [00:12<05:11,  1.78s/it]
Epoch 10, training loss 0.151:   4%|▍         | 7/182 [00:13<05:26,  1.87s/it]
Epoch 10, training loss 0.151:   4%|▍         | 8/182 [00:13<04:55,  1.70s/it]
Epoch 10, training loss 0.162:   4%|▍         | 8/182 [00:14<05:08,  1.77s/it]
Epoch 10, training loss 0.162:   5%|▍         | 9/182 [00:14<04:41,  1.63s/it]
Epoch 10, training loss 0.158:   5%|▍         | 9/182 [00:15<04:54,  1.70s/it]
Epoch 10, training loss 0.158:   5%|▌         | 10/182 [00:15<04:31,  1.58s/it]
Epoch 10, training loss 0.158:   5%|▌         | 10/182 [00:16<04:43,  1.65s/it]
Epoch 10, training loss 0.158:   6%|▌         | 11/182 [00:16<04:23,  1.54s/it]
Epoch 10, training loss 0.162:   6%|▌         | 11/182 [00:17<04:33,  1.60s/it]
Epoch 10, training loss 0.162:   7%|▋         | 12/182 [00:18<04:15,  1.51s/it]
Epoch 10, training loss 0.162:   7%|▋         | 12/182 [00:18<04:24,  1.56s/it]
Epoch 10, training loss 0.162:   7%|▋         | 13/182 [00:19<04:09,  1.47s/it]
Epoch 10, training loss 0.158:   7%|▋         | 13/182 [00:19<04:17,  1.53s/it]
Epoch 10, training loss 0.158:   8%|▊         | 14/182 [00:20<04:03,  1.45s/it]
Epoch 10, training loss 0.161:   8%|▊         | 14/182 [00:20<04:11,  1.50s/it]
Epoch 10, training loss 0.161:   8%|▊         | 15/182 [00:21<03:58,  1.43s/it]
Epoch 10, training loss 0.155:   8%|▊         | 15/182 [00:22<04:05,  1.47s/it]
Epoch 10, training loss 0.155:   9%|▉         | 16/182 [00:22<03:54,  1.41s/it]
Epoch 10, training loss 0.153:   9%|▉         | 16/182 [00:23<04:02,  1.46s/it]
Epoch 10, training loss 0.153:   9%|▉         | 17/182 [00:23<03:51,  1.40s/it]
Epoch 10, training loss 0.148:   9%|▉         | 17/182 [00:24<03:58,  1.44s/it]
Epoch 10, training loss 0.148:  10%|▉         | 18/182 [00:25<03:47,  1.39s/it]
Epoch 10, training loss 0.144:  10%|▉         | 18/182 [00:25<03:53,  1.42s/it]
Epoch 10, training loss 0.144:  10%|█         | 19/182 [00:26<03:44,  1.38s/it]
Epoch 10, training loss 0.142:  10%|█         | 19/182 [00:26<03:49,  1.41s/it]
Epoch 10, training loss 0.142:  11%|█         | 20/182 [00:27<03:41,  1.37s/it]
Epoch 10, training loss 0.138:  11%|█         | 20/182 [00:27<03:46,  1.40s/it]
Epoch 10, training loss 0.138:  12%|█▏        | 21/182 [00:28<03:38,  1.36s/it]
Epoch 10, training loss 0.135:  12%|█▏        | 21/182 [00:29<03:43,  1.39s/it]
Epoch 10, training loss 0.135:  12%|█▏        | 22/182 [00:29<03:35,  1.34s/it]
Epoch 10, training loss 0.138:  12%|█▏        | 22/182 [00:30<03:39,  1.37s/it]
Epoch 10, training loss 0.138:  13%|█▎        | 23/182 [00:30<03:32,  1.33s/it]
Epoch 10, training loss 0.133:  13%|█▎        | 23/182 [00:31<03:36,  1.36s/it]
Epoch 10, training loss 0.133:  13%|█▎        | 24/182 [00:31<03:29,  1.33s/it]
Epoch 10, training loss 0.130:  13%|█▎        | 24/182 [00:32<03:34,  1.36s/it]
Epoch 10, training loss 0.130:  14%|█▎        | 25/182 [00:33<03:27,  1.32s/it]
Epoch 10, training loss 0.128:  14%|█▎        | 25/182 [00:33<03:31,  1.35s/it]
Epoch 10, training loss 0.128:  14%|█▍        | 26/182 [00:34<03:25,  1.32s/it]
Epoch 10, training loss 0.128:  14%|█▍        | 26/182 [00:34<03:29,  1.34s/it]
Epoch 10, training loss 0.128:  15%|█▍        | 27/182 [00:35<03:23,  1.31s/it]
Epoch 10, training loss 0.125:  15%|█▍        | 27/182 [00:35<03:26,  1.33s/it]
Epoch 10, training loss 0.125:  15%|█▌        | 28/182 [00:36<03:20,  1.30s/it]
Epoch 10, training loss 0.122:  15%|█▌        | 28/182 [00:37<03:24,  1.33s/it]
Epoch 10, training loss 0.122:  16%|█▌        | 29/182 [00:37<03:18,  1.30s/it]
Epoch 10, training loss 0.123:  16%|█▌        | 29/182 [00:38<03:22,  1.32s/it]
Epoch 10, training loss 0.123:  16%|█▋        | 30/182 [00:38<03:16,  1.29s/it]
Epoch 10, training loss 0.122:  16%|█▋        | 30/182 [00:39<03:20,  1.32s/it]
Epoch 10, training loss 0.122:  17%|█▋        | 31/182 [00:40<03:15,  1.29s/it]
Epoch 10, training loss 0.122:  17%|█▋        | 31/182 [00:40<03:18,  1.32s/it]
Epoch 10, training loss 0.122:  18%|█▊        | 32/182 [00:41<03:13,  1.29s/it]
Epoch 10, training loss 0.123:  18%|█▊        | 32/182 [00:41<03:16,  1.31s/it]
Epoch 10, training loss 0.123:  18%|█▊        | 33/182 [00:42<03:11,  1.28s/it]
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Epoch 10, training loss 0.123:  19%|█▊        | 34/182 [00:43<03:09,  1.28s/it]
Epoch 10, training loss 0.121:  19%|█▊        | 34/182 [00:44<03:12,  1.30s/it]
Epoch 10, training loss 0.121:  19%|█▉        | 35/182 [00:44<03:07,  1.28s/it]
Epoch 10, training loss 0.121:  19%|█▉        | 35/182 [00:45<03:10,  1.30s/it]
Epoch 10, training loss 0.121:  20%|█▉        | 36/182 [00:45<03:06,  1.27s/it]
Epoch 10, training loss 0.118:  20%|█▉        | 36/182 [00:46<03:08,  1.29s/it]
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Epoch 10, training loss 0.120:  20%|██        | 37/182 [00:47<03:07,  1.29s/it]
Epoch 10, training loss 0.120:  21%|██        | 38/182 [00:48<03:02,  1.27s/it]
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Epoch 10, training loss 0.119:  21%|██▏       | 39/182 [00:49<03:01,  1.27s/it]
Epoch 10, training loss 0.125:  21%|██▏       | 39/182 [00:50<03:04,  1.29s/it]
Epoch 10, training loss 0.125:  22%|██▏       | 40/182 [00:50<03:00,  1.27s/it]
Epoch 10, training loss 0.124:  22%|██▏       | 40/182 [00:51<03:02,  1.28s/it]
Epoch 10, training loss 0.124:  23%|██▎       | 41/182 [00:51<02:58,  1.27s/it]
Epoch 10, training loss 0.122:  23%|██▎       | 41/182 [00:52<03:00,  1.28s/it]
Epoch 10, training loss 0.122:  23%|██▎       | 42/182 [00:53<02:56,  1.26s/it]
Epoch 10, training loss 0.124:  23%|██▎       | 42/182 [00:53<02:59,  1.28s/it]
Epoch 10, training loss 0.124:  24%|██▎       | 43/182 [00:54<02:55,  1.26s/it]
Epoch 10, training loss 0.123:  24%|██▎       | 43/182 [00:54<02:57,  1.28s/it]
Epoch 10, training loss 0.123:  24%|██▍       | 44/182 [00:55<02:53,  1.26s/it]
Epoch 10, training loss 0.122:  24%|██▍       | 44/182 [00:56<02:55,  1.27s/it]
Epoch 10, training loss 0.122:  25%|██▍       | 45/182 [00:56<02:52,  1.26s/it]
Epoch 10, training loss 0.155:  25%|██▍       | 45/182 [00:57<02:54,  1.27s/it]
Epoch 10, training loss 0.155:  25%|██▌       | 46/182 [00:57<02:50,  1.26s/it]
Epoch 10, training loss 0.159:  25%|██▌       | 46/182 [00:58<02:52,  1.27s/it]
Epoch 10, training loss 0.159:  26%|██▌       | 47/182 [00:58<02:49,  1.25s/it]
Epoch 10, training loss 0.156:  26%|██▌       | 47/182 [00:59<02:51,  1.27s/it]
Epoch 10, training loss 0.156:  26%|██▋       | 48/182 [01:00<02:47,  1.25s/it]
Epoch 10, training loss 0.156:  26%|██▋       | 48/182 [01:00<02:49,  1.27s/it]
Epoch 10, training loss 0.156:  27%|██▋       | 49/182 [01:01<02:46,  1.25s/it]
Epoch 10, training loss 0.155:  27%|██▋       | 49/182 [01:01<02:48,  1.26s/it]
Epoch 10, training loss 0.155:  27%|██▋       | 50/182 [01:02<02:44,  1.25s/it]
Epoch 10, training loss 0.153:  27%|██▋       | 50/182 [01:03<02:46,  1.26s/it]
Epoch 10, training loss 0.153:  28%|██▊       | 51/182 [01:03<02:43,  1.25s/it]
Epoch 10, training loss 0.151:  28%|██▊       | 51/182 [01:04<02:44,  1.26s/it]
Epoch 10, training loss 0.151:  29%|██▊       | 52/182 [01:04<02:41,  1.24s/it]
Epoch 10, training loss 0.151:  29%|██▊       | 52/182 [01:05<02:43,  1.26s/it]
Epoch 10, training loss 0.151:  29%|██▉       | 53/182 [01:06<02:40,  1.25s/it]
Epoch 10, training loss 0.151:  29%|██▉       | 53/182 [01:06<02:42,  1.26s/it]
Epoch 10, training loss 0.151:  30%|██▉       | 54/182 [01:07<02:39,  1.24s/it]
Epoch 10, training loss 0.149:  30%|██▉       | 54/182 [01:07<02:40,  1.26s/it]
Epoch 10, training loss 0.149:  30%|███       | 55/182 [01:08<02:37,  1.24s/it]
Epoch 10, training loss 0.150:  30%|███       | 55/182 [01:08<02:39,  1.25s/it]
Epoch 10, training loss 0.150:  31%|███       | 56/182 [01:09<02:36,  1.24s/it]
Epoch 10, training loss 0.148:  31%|███       | 56/182 [01:10<02:37,  1.25s/it]
Epoch 10, training loss 0.148:  31%|███▏      | 57/182 [01:10<02:34,  1.24s/it]
Epoch 10, training loss 0.148:  31%|███▏      | 57/182 [01:11<02:36,  1.25s/it]
Epoch 10, training loss 0.148:  32%|███▏      | 58/182 [01:11<02:33,  1.24s/it]
Epoch 10, training loss 0.146:  32%|███▏      | 58/182 [01:12<02:35,  1.25s/it]
Epoch 10, training loss 0.146:  32%|███▏      | 59/182 [01:13<02:32,  1.24s/it]
Epoch 10, training loss 0.144:  32%|███▏      | 59/182 [01:13<02:33,  1.25s/it]
Epoch 10, training loss 0.144:  33%|███▎      | 60/182 [01:14<02:30,  1.24s/it]
Epoch 10, training loss 0.145:  33%|███▎      | 60/182 [01:14<02:32,  1.25s/it]
Epoch 10, training loss 0.145:  34%|███▎      | 61/182 [01:15<02:29,  1.24s/it]
Epoch 10, training loss 0.144:  34%|███▎      | 61/182 [01:16<02:30,  1.25s/it]
Epoch 10, training loss 0.144:  34%|███▍      | 62/182 [01:16<02:28,  1.24s/it]
Epoch 10, training loss 0.143:  34%|███▍      | 62/182 [01:17<02:29,  1.25s/it]
Epoch 10, training loss 0.143:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 10, training loss 0.142:  35%|███▍      | 63/182 [01:18<02:27,  1.24s/it]
Epoch 10, training loss 0.142:  35%|███▌      | 64/182 [01:18<02:25,  1.23s/it]
Epoch 10, training loss 0.141:  35%|███▌      | 64/182 [01:19<02:26,  1.24s/it]
Epoch 10, training loss 0.141:  36%|███▌      | 65/182 [01:19<02:23,  1.23s/it]
Epoch 10, training loss 0.140:  36%|███▌      | 65/182 [01:20<02:25,  1.24s/it]
Epoch 10, training loss 0.140:  36%|███▋      | 66/182 [01:21<02:22,  1.23s/it]
Epoch 10, training loss 0.139:  36%|███▋      | 66/182 [01:21<02:23,  1.24s/it]
Epoch 10, training loss 0.139:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 10, training loss 0.138:  37%|███▋      | 67/182 [01:22<02:22,  1.24s/it]
Epoch 10, training loss 0.138:  37%|███▋      | 68/182 [01:23<02:19,  1.23s/it]
Epoch 10, training loss 0.138:  37%|███▋      | 68/182 [01:23<02:20,  1.24s/it]
Epoch 10, training loss 0.138:  38%|███▊      | 69/182 [01:24<02:18,  1.22s/it]
Epoch 10, training loss 0.153:  38%|███▊      | 69/182 [01:25<02:19,  1.24s/it]
Epoch 10, training loss 0.153:  38%|███▊      | 70/182 [01:25<02:17,  1.23s/it]
Epoch 10, training loss 0.152:  38%|███▊      | 70/182 [01:26<02:18,  1.23s/it]
Epoch 10, training loss 0.152:  39%|███▉      | 71/182 [01:26<02:15,  1.22s/it]
Epoch 10, training loss 0.152:  39%|███▉      | 71/182 [01:27<02:17,  1.23s/it]
Epoch 10, training loss 0.152:  40%|███▉      | 72/182 [01:28<02:14,  1.22s/it]
Epoch 10, training loss 0.151:  40%|███▉      | 72/182 [01:28<02:15,  1.23s/it]
Epoch 10, training loss 0.151:  40%|████      | 73/182 [01:29<02:13,  1.22s/it]
Epoch 10, training loss 0.150:  40%|████      | 73/182 [01:29<02:14,  1.23s/it]
Epoch 10, training loss 0.150:  41%|████      | 74/182 [01:30<02:11,  1.22s/it]
Epoch 10, training loss 0.150:  41%|████      | 74/182 [01:31<02:12,  1.23s/it]
Epoch 10, training loss 0.150:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 10, training loss 0.149:  41%|████      | 75/182 [01:32<02:11,  1.23s/it]
Epoch 10, training loss 0.149:  42%|████▏     | 76/182 [01:32<02:09,  1.22s/it]
Epoch 10, training loss 0.148:  42%|████▏     | 76/182 [01:33<02:10,  1.23s/it]
Epoch 10, training loss 0.148:  42%|████▏     | 77/182 [01:33<02:07,  1.22s/it]
Epoch 10, training loss 0.150:  42%|████▏     | 77/182 [01:34<02:08,  1.23s/it]
Epoch 10, training loss 0.150:  43%|████▎     | 78/182 [01:34<02:06,  1.22s/it]
Epoch 10, training loss 0.149:  43%|████▎     | 78/182 [01:35<02:07,  1.23s/it]
Epoch 10, training loss 0.149:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
Epoch 10, training loss 0.149:  43%|████▎     | 79/182 [01:36<02:06,  1.23s/it]
Epoch 10, training loss 0.149:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 10, training loss 0.148:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 10, training loss 0.148:  45%|████▍     | 81/182 [01:38<02:02,  1.22s/it]
Epoch 10, training loss 0.147:  45%|████▍     | 81/182 [01:39<02:03,  1.22s/it]
Epoch 10, training loss 0.147:  45%|████▌     | 82/182 [01:39<02:01,  1.21s/it]
Epoch 10, training loss 0.146:  45%|████▌     | 82/182 [01:40<02:02,  1.22s/it]
Epoch 10, training loss 0.146:  46%|████▌     | 83/182 [01:40<02:00,  1.21s/it]
Epoch 10, training loss 0.145:  46%|████▌     | 83/182 [01:41<02:00,  1.22s/it]
Epoch 10, training loss 0.145:  46%|████▌     | 84/182 [01:41<01:58,  1.21s/it]
Epoch 10, training loss 0.145:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 10, training loss 0.145:  47%|████▋     | 85/182 [01:43<01:57,  1.21s/it]
Epoch 10, training loss 0.144:  47%|████▋     | 85/182 [01:43<01:58,  1.22s/it]
Epoch 10, training loss 0.144:  47%|████▋     | 86/182 [01:44<01:56,  1.21s/it]
Epoch 10, training loss 0.144:  47%|████▋     | 86/182 [01:44<01:57,  1.22s/it]
Epoch 10, training loss 0.144:  48%|████▊     | 87/182 [01:45<01:55,  1.21s/it]
Epoch 10, training loss 0.143:  48%|████▊     | 87/182 [01:45<01:55,  1.22s/it]
Epoch 10, training loss 0.143:  48%|████▊     | 88/182 [01:46<01:53,  1.21s/it]
Epoch 10, training loss 0.143:  48%|████▊     | 88/182 [01:47<01:54,  1.22s/it]
Epoch 10, training loss 0.143:  49%|████▉     | 89/182 [01:47<01:52,  1.21s/it]
Epoch 10, training loss 0.143:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 10, training loss 0.143:  49%|████▉     | 90/182 [01:48<01:51,  1.21s/it]
Epoch 10, training loss 0.144:  49%|████▉     | 90/182 [01:49<01:51,  1.22s/it]
Epoch 10, training loss 0.144:  50%|█████     | 91/182 [01:49<01:49,  1.21s/it]
Epoch 10, training loss 0.145:  50%|█████     | 91/182 [01:50<01:50,  1.22s/it]
Epoch 10, training loss 0.145:  51%|█████     | 92/182 [01:51<01:48,  1.21s/it]
Epoch 10, training loss 0.144:  51%|█████     | 92/182 [01:51<01:49,  1.22s/it]
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Epoch 10, training loss 0.144:  52%|█████▏    | 94/182 [01:53<01:46,  1.21s/it]
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Epoch 10, training loss 0.143:  52%|█████▏    | 95/182 [01:54<01:44,  1.21s/it]
Epoch 10, training loss 0.143:  52%|█████▏    | 95/182 [01:55<01:45,  1.21s/it]
Epoch 10, training loss 0.143:  53%|█████▎    | 96/182 [01:55<01:43,  1.21s/it]
Epoch 10, training loss 0.143:  53%|█████▎    | 96/182 [01:56<01:44,  1.21s/it]
Epoch 10, training loss 0.143:  53%|█████▎    | 97/182 [01:56<01:42,  1.20s/it]
Epoch 10, training loss 0.141:  53%|█████▎    | 97/182 [01:57<01:42,  1.21s/it]
Epoch 10, training loss 0.141:  54%|█████▍    | 98/182 [01:57<01:41,  1.20s/it]
Epoch 10, training loss 0.145:  54%|█████▍    | 98/182 [01:58<01:41,  1.21s/it]
Epoch 10, training loss 0.145:  54%|█████▍    | 99/182 [01:59<01:39,  1.20s/it]
Epoch 10, training loss 0.144:  54%|█████▍    | 99/182 [01:59<01:40,  1.21s/it]
Epoch 10, training loss 0.144:  55%|█████▍    | 100/182 [02:00<01:38,  1.20s/it]
Epoch 10, training loss 0.142:  55%|█████▍    | 100/182 [02:00<01:39,  1.21s/it]
Epoch 10, training loss 0.142:  55%|█████▌    | 101/182 [02:01<01:37,  1.20s/it]
Epoch 10, training loss 0.143:  55%|█████▌    | 101/182 [02:02<01:37,  1.21s/it]
Epoch 10, training loss 0.143:  56%|█████▌    | 102/182 [02:02<01:36,  1.20s/it]
Epoch 10, training loss 0.142:  56%|█████▌    | 102/182 [02:03<01:36,  1.21s/it]
Epoch 10, training loss 0.142:  57%|█████▋    | 103/182 [02:03<01:34,  1.20s/it]
Epoch 10, training loss 0.142:  57%|█████▋    | 103/182 [02:04<01:35,  1.21s/it]
Epoch 10, training loss 0.142:  57%|█████▋    | 104/182 [02:04<01:33,  1.20s/it]
Epoch 10, training loss 0.141:  57%|█████▋    | 104/182 [02:05<01:34,  1.21s/it]
Epoch 10, training loss 0.141:  58%|█████▊    | 105/182 [02:06<01:32,  1.20s/it]
Epoch 10, training loss 0.140:  58%|█████▊    | 105/182 [02:06<01:32,  1.21s/it]
Epoch 10, training loss 0.140:  58%|█████▊    | 106/182 [02:07<01:31,  1.20s/it]
Epoch 10, training loss 0.140:  58%|█████▊    | 106/182 [02:07<01:31,  1.21s/it]
Epoch 10, training loss 0.140:  59%|█████▉    | 107/182 [02:08<01:29,  1.20s/it]
Epoch 10, training loss 0.139:  59%|█████▉    | 107/182 [02:09<01:30,  1.21s/it]
Epoch 10, training loss 0.139:  59%|█████▉    | 108/182 [02:09<01:28,  1.20s/it]
Epoch 10, training loss 0.139:  59%|█████▉    | 108/182 [02:10<01:29,  1.20s/it]
Epoch 10, training loss 0.139:  60%|█████▉    | 109/182 [02:10<01:27,  1.20s/it]
Epoch 10, training loss 0.138:  60%|█████▉    | 109/182 [02:11<01:27,  1.20s/it]
Epoch 10, training loss 0.138:  60%|██████    | 110/182 [02:11<01:26,  1.20s/it]
Epoch 10, training loss 0.141:  60%|██████    | 110/182 [02:12<01:26,  1.20s/it]
Epoch 10, training loss 0.141:  61%|██████    | 111/182 [02:12<01:24,  1.20s/it]
Epoch 10, training loss 0.142:  61%|██████    | 111/182 [02:13<01:25,  1.20s/it]
Epoch 10, training loss 0.142:  62%|██████▏   | 112/182 [02:14<01:23,  1.20s/it]
Epoch 10, training loss 0.141:  62%|██████▏   | 112/182 [02:14<01:24,  1.20s/it]
Epoch 10, training loss 0.141:  62%|██████▏   | 113/182 [02:15<01:22,  1.20s/it]
Epoch 10, training loss 0.141:  62%|██████▏   | 113/182 [02:15<01:22,  1.20s/it]
Epoch 10, training loss 0.141:  63%|██████▎   | 114/182 [02:16<01:21,  1.20s/it]
Epoch 10, training loss 0.140:  63%|██████▎   | 114/182 [02:16<01:21,  1.20s/it]
Epoch 10, training loss 0.140:  63%|██████▎   | 115/182 [02:17<01:20,  1.19s/it]
Epoch 10, training loss 0.140:  63%|██████▎   | 115/182 [02:17<01:20,  1.20s/it]
Epoch 10, training loss 0.140:  64%|██████▎   | 116/182 [02:18<01:18,  1.19s/it]
Epoch 10, training loss 0.139:  64%|██████▎   | 116/182 [02:19<01:19,  1.20s/it]
Epoch 10, training loss 0.139:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 10, training loss 0.138:  64%|██████▍   | 117/182 [02:20<01:18,  1.20s/it]
Epoch 10, training loss 0.138:  65%|██████▍   | 118/182 [02:21<01:16,  1.19s/it]
Epoch 10, training loss 0.138:  65%|██████▍   | 118/182 [02:21<01:16,  1.20s/it]
Epoch 10, training loss 0.138:  65%|██████▌   | 119/182 [02:22<01:15,  1.20s/it]
Epoch 10, training loss 0.137:  65%|██████▌   | 119/182 [02:22<01:15,  1.20s/it]
Epoch 10, training loss 0.137:  66%|██████▌   | 120/182 [02:23<01:14,  1.19s/it]
Epoch 10, training loss 0.136:  66%|██████▌   | 120/182 [02:23<01:14,  1.20s/it]
Epoch 10, training loss 0.136:  66%|██████▋   | 121/182 [02:24<01:12,  1.19s/it]
Epoch 10, training loss 0.137:  66%|██████▋   | 121/182 [02:25<01:13,  1.20s/it]
Epoch 10, training loss 0.137:  67%|██████▋   | 122/182 [02:25<01:11,  1.19s/it]
Epoch 10, training loss 0.137:  67%|██████▋   | 122/182 [02:26<01:11,  1.20s/it]
Epoch 10, training loss 0.137:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 10, training loss 0.137:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 10, training loss 0.137:  68%|██████▊   | 124/182 [02:27<01:09,  1.19s/it]
Epoch 10, training loss 0.136:  68%|██████▊   | 124/182 [02:28<01:09,  1.20s/it]
Epoch 10, training loss 0.136:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 10, training loss 0.136:  69%|██████▊   | 125/182 [02:29<01:08,  1.20s/it]
Epoch 10, training loss 0.136:  69%|██████▉   | 126/182 [02:29<01:06,  1.19s/it]
Epoch 10, training loss 0.135:  69%|██████▉   | 126/182 [02:30<01:06,  1.20s/it]
Epoch 10, training loss 0.135:  70%|██████▉   | 127/182 [02:31<01:05,  1.19s/it]
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Epoch 10, training loss 0.135:  71%|███████   | 129/182 [02:33<01:03,  1.19s/it]
Epoch 10, training loss 0.136:  71%|███████   | 129/182 [02:33<01:03,  1.19s/it]
Epoch 10, training loss 0.136:  71%|███████▏  | 130/182 [02:34<01:01,  1.19s/it]
Epoch 10, training loss 0.136:  71%|███████▏  | 130/182 [02:35<01:02,  1.20s/it]
Epoch 10, training loss 0.136:  72%|███████▏  | 131/182 [02:35<01:00,  1.19s/it]
Epoch 10, training loss 0.135:  72%|███████▏  | 131/182 [02:36<01:00,  1.20s/it]
Epoch 10, training loss 0.135:  73%|███████▎  | 132/182 [02:37<00:59,  1.19s/it]
Epoch 10, training loss 0.135:  73%|███████▎  | 132/182 [02:37<00:59,  1.19s/it]
Epoch 10, training loss 0.135:  73%|███████▎  | 133/182 [02:38<00:58,  1.19s/it]
Epoch 10, training loss 0.135:  73%|███████▎  | 133/182 [02:38<00:58,  1.19s/it]
Epoch 10, training loss 0.135:  74%|███████▎  | 134/182 [02:39<00:57,  1.19s/it]
Epoch 10, training loss 0.134:  74%|███████▎  | 134/182 [02:39<00:57,  1.19s/it]
Epoch 10, training loss 0.134:  74%|███████▍  | 135/182 [02:40<00:55,  1.19s/it]
Epoch 10, training loss 0.134:  74%|███████▍  | 135/182 [02:41<00:56,  1.19s/it]
Epoch 10, training loss 0.134:  75%|███████▍  | 136/182 [02:41<00:54,  1.19s/it]
Epoch 10, training loss 0.135:  75%|███████▍  | 136/182 [02:42<00:54,  1.19s/it]
Epoch 10, training loss 0.135:  75%|███████▌  | 137/182 [02:42<00:53,  1.19s/it]
Epoch 10, training loss 0.135:  75%|███████▌  | 137/182 [02:43<00:53,  1.19s/it]
Epoch 10, training loss 0.135:  76%|███████▌  | 138/182 [02:43<00:52,  1.19s/it]
Epoch 10, training loss 0.135:  76%|███████▌  | 138/182 [02:44<00:52,  1.19s/it]
Epoch 10, training loss 0.135:  76%|███████▋  | 139/182 [02:44<00:51,  1.19s/it]
Epoch 10, training loss 0.135:  76%|███████▋  | 139/182 [02:45<00:51,  1.19s/it]
Epoch 10, training loss 0.135:  77%|███████▋  | 140/182 [02:46<00:49,  1.19s/it]
Epoch 10, training loss 0.135:  77%|███████▋  | 140/182 [02:46<00:50,  1.19s/it]
Epoch 10, training loss 0.135:  77%|███████▋  | 141/182 [02:47<00:48,  1.19s/it]
Epoch 10, training loss 0.134:  77%|███████▋  | 141/182 [02:48<00:48,  1.19s/it]
Epoch 10, training loss 0.134:  78%|███████▊  | 142/182 [02:48<00:47,  1.19s/it]
Epoch 10, training loss 0.133:  78%|███████▊  | 142/182 [02:49<00:47,  1.19s/it]
Epoch 10, training loss 0.133:  79%|███████▊  | 143/182 [02:49<00:46,  1.19s/it]
Epoch 10, training loss 0.133:  79%|███████▊  | 143/182 [02:50<00:46,  1.19s/it]
Epoch 10, training loss 0.133:  79%|███████▉  | 144/182 [02:50<00:45,  1.19s/it]
Epoch 10, training loss 0.132:  79%|███████▉  | 144/182 [02:51<00:45,  1.19s/it]
Epoch 10, training loss 0.132:  80%|███████▉  | 145/182 [02:52<00:43,  1.19s/it]
Epoch 10, training loss 0.134:  80%|███████▉  | 145/182 [02:52<00:44,  1.19s/it]
Epoch 10, training loss 0.134:  80%|████████  | 146/182 [02:53<00:42,  1.19s/it]
Epoch 10, training loss 0.135:  80%|████████  | 146/182 [02:53<00:42,  1.19s/it]
Epoch 10, training loss 0.135:  81%|████████  | 147/182 [02:54<00:41,  1.19s/it]
Epoch 10, training loss 0.134:  81%|████████  | 147/182 [02:55<00:41,  1.19s/it]
Epoch 10, training loss 0.134:  81%|████████▏ | 148/182 [02:55<00:40,  1.19s/it]
Epoch 10, training loss 0.134:  81%|████████▏ | 148/182 [02:56<00:40,  1.19s/it]
Epoch 10, training loss 0.134:  82%|████████▏ | 149/182 [02:56<00:39,  1.19s/it]
Epoch 10, training loss 0.134:  82%|████████▏ | 149/182 [02:57<00:39,  1.19s/it]
Epoch 10, training loss 0.134:  82%|████████▏ | 150/182 [02:57<00:37,  1.19s/it]
Epoch 10, training loss 0.133:  82%|████████▏ | 150/182 [02:58<00:38,  1.19s/it]
Epoch 10, training loss 0.133:  83%|████████▎ | 151/182 [02:59<00:36,  1.19s/it]
Epoch 10, training loss 0.134:  83%|████████▎ | 151/182 [02:59<00:36,  1.19s/it]
Epoch 10, training loss 0.134:  84%|████████▎ | 152/182 [03:00<00:35,  1.19s/it]
Epoch 10, training loss 0.134:  84%|████████▎ | 152/182 [03:00<00:35,  1.19s/it]
Epoch 10, training loss 0.134:  84%|████████▍ | 153/182 [03:01<00:34,  1.19s/it]
Epoch 10, training loss 0.133:  84%|████████▍ | 153/182 [03:01<00:34,  1.19s/it]
Epoch 10, training loss 0.133:  85%|████████▍ | 154/182 [03:02<00:33,  1.18s/it]
Epoch 10, training loss 0.133:  85%|████████▍ | 154/182 [03:03<00:33,  1.19s/it]
Epoch 10, training loss 0.133:  85%|████████▌ | 155/182 [03:03<00:31,  1.19s/it]
Epoch 10, training loss 0.133:  85%|████████▌ | 155/182 [03:04<00:32,  1.19s/it]
Epoch 10, training loss 0.133:  86%|████████▌ | 156/182 [03:04<00:30,  1.18s/it]
Epoch 10, training loss 0.133:  86%|████████▌ | 156/182 [03:05<00:30,  1.19s/it]
Epoch 10, training loss 0.133:  86%|████████▋ | 157/182 [03:05<00:29,  1.18s/it]
Epoch 10, training loss 0.133:  86%|████████▋ | 157/182 [03:06<00:29,  1.19s/it]
Epoch 10, training loss 0.133:  87%|████████▋ | 158/182 [03:07<00:28,  1.18s/it]
Epoch 10, training loss 0.132:  87%|████████▋ | 158/182 [03:07<00:28,  1.19s/it]
Epoch 10, training loss 0.132:  87%|████████▋ | 159/182 [03:08<00:27,  1.18s/it]
Epoch 10, training loss 0.131:  87%|████████▋ | 159/182 [03:08<00:27,  1.19s/it]
Epoch 10, training loss 0.131:  88%|████████▊ | 160/182 [03:09<00:26,  1.18s/it]
Epoch 10, training loss 0.131:  88%|████████▊ | 160/182 [03:10<00:26,  1.19s/it]
Epoch 10, training loss 0.131:  88%|████████▊ | 161/182 [03:10<00:24,  1.18s/it]
Epoch 10, training loss 0.131:  88%|████████▊ | 161/182 [03:11<00:24,  1.19s/it]
Epoch 10, training loss 0.131:  89%|████████▉ | 162/182 [03:11<00:23,  1.18s/it]
Epoch 10, training loss 0.132:  89%|████████▉ | 162/182 [03:12<00:23,  1.19s/it]
Epoch 10, training loss 0.132:  90%|████████▉ | 163/182 [03:12<00:22,  1.18s/it]
Epoch 10, training loss 0.138:  90%|████████▉ | 163/182 [03:13<00:22,  1.19s/it]
Epoch 10, training loss 0.138:  90%|█████████ | 164/182 [03:14<00:21,  1.18s/it]
Epoch 10, training loss 0.138:  90%|█████████ | 164/182 [03:14<00:21,  1.19s/it]
Epoch 10, training loss 0.138:  91%|█████████ | 165/182 [03:15<00:20,  1.18s/it]
Epoch 10, training loss 0.138:  91%|█████████ | 165/182 [03:15<00:20,  1.19s/it]
Epoch 10, training loss 0.138:  91%|█████████ | 166/182 [03:16<00:18,  1.18s/it]
Epoch 10, training loss 0.138:  91%|█████████ | 166/182 [03:17<00:19,  1.19s/it]
Epoch 10, training loss 0.138:  92%|█████████▏| 167/182 [03:17<00:17,  1.18s/it]
Epoch 10, training loss 0.146:  92%|█████████▏| 167/182 [03:18<00:17,  1.19s/it]
Epoch 10, training loss 0.146:  92%|█████████▏| 168/182 [03:18<00:16,  1.18s/it]
Epoch 10, training loss 0.146:  92%|█████████▏| 168/182 [03:19<00:16,  1.19s/it]
Epoch 10, training loss 0.146:  93%|█████████▎| 169/182 [03:20<00:15,  1.18s/it]
Epoch 10, training loss 0.145:  93%|█████████▎| 169/182 [03:20<00:15,  1.19s/it]
Epoch 10, training loss 0.145:  93%|█████████▎| 170/182 [03:21<00:14,  1.18s/it]
Epoch 10, training loss 0.144:  93%|█████████▎| 170/182 [03:21<00:14,  1.19s/it]
Epoch 10, training loss 0.144:  94%|█████████▍| 171/182 [03:22<00:13,  1.18s/it]
Epoch 10, training loss 0.144:  94%|█████████▍| 171/182 [03:22<00:13,  1.19s/it]
Epoch 10, training loss 0.144:  95%|█████████▍| 172/182 [03:23<00:11,  1.18s/it]
Epoch 10, training loss 0.145:  95%|█████████▍| 172/182 [03:24<00:11,  1.19s/it]
Epoch 10, training loss 0.145:  95%|█████████▌| 173/182 [03:24<00:10,  1.18s/it]
Epoch 10, training loss 0.144:  95%|█████████▌| 173/182 [03:25<00:10,  1.19s/it]
Epoch 10, training loss 0.144:  96%|█████████▌| 174/182 [03:25<00:09,  1.18s/it]
Epoch 10, training loss 0.145:  96%|█████████▌| 174/182 [03:26<00:09,  1.19s/it]
Epoch 10, training loss 0.145:  96%|█████████▌| 175/182 [03:26<00:08,  1.18s/it]
Epoch 10, training loss 0.145:  96%|█████████▌| 175/182 [03:27<00:08,  1.19s/it]
Epoch 10, training loss 0.145:  97%|█████████▋| 176/182 [03:27<00:07,  1.18s/it]
Epoch 10, training loss 0.145:  97%|█████████▋| 176/182 [03:28<00:07,  1.19s/it]
Epoch 10, training loss 0.145:  97%|█████████▋| 177/182 [03:29<00:05,  1.18s/it]
Epoch 10, training loss 0.144:  97%|█████████▋| 177/182 [03:29<00:05,  1.18s/it]
Epoch 10, training loss 0.144:  98%|█████████▊| 178/182 [03:30<00:04,  1.18s/it]
Epoch 10, training loss 0.143:  98%|█████████▊| 178/182 [03:30<00:04,  1.18s/it]
Epoch 10, training loss 0.143:  98%|█████████▊| 179/182 [03:31<00:03,  1.18s/it]
Epoch 10, training loss 0.143:  98%|█████████▊| 179/182 [03:31<00:03,  1.18s/it]
Epoch 10, training loss 0.143:  99%|█████████▉| 180/182 [03:32<00:02,  1.18s/it]
Epoch 10, training loss 0.144:  99%|█████████▉| 180/182 [03:33<00:02,  1.18s/it]
Epoch 10, training loss 0.144:  99%|█████████▉| 181/182 [03:33<00:01,  1.18s/it]
Epoch 10, training loss 0.143:  99%|█████████▉| 181/182 [03:34<00:01,  1.18s/it]
Epoch 10, training loss 0.143: 100%|██████████| 182/182 [03:34<00:00,  1.18s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 10, validation pixAcc: 0.975, mIoU: 0.601:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 10, validation pixAcc: 0.975, mIoU: 0.601:   1%|          | 1/91 [00:04<06:38,  4.42s/it]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.749:   1%|          | 1/91 [00:04<07:22,  4.91s/it]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.749:   2%|▏         | 2/91 [00:04<03:38,  2.46s/it]
Epoch 10, validation pixAcc: 0.977, mIoU: 0.779:   2%|▏         | 2/91 [00:05<03:58,  2.68s/it]
Epoch 10, validation pixAcc: 0.977, mIoU: 0.779:   3%|▎         | 3/91 [00:05<02:37,  1.79s/it]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.790:   3%|▎         | 3/91 [00:05<02:51,  1.95s/it]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.790:   4%|▍         | 4/91 [00:05<02:07,  1.46s/it]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.882:   4%|▍         | 4/91 [00:06<02:16,  1.57s/it]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.882:   5%|▌         | 5/91 [00:06<01:47,  1.25s/it]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.891:   5%|▌         | 5/91 [00:06<01:54,  1.33s/it]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.891:   7%|▋         | 6/91 [00:06<01:34,  1.11s/it]
Epoch 10, validation pixAcc: 0.971, mIoU: 0.886:   7%|▋         | 6/91 [00:07<01:39,  1.17s/it]
Epoch 10, validation pixAcc: 0.971, mIoU: 0.886:   8%|▊         | 7/91 [00:07<01:24,  1.00s/it]
Epoch 10, validation pixAcc: 0.971, mIoU: 0.886:   8%|▊         | 7/91 [00:07<01:29,  1.07s/it]
Epoch 10, validation pixAcc: 0.971, mIoU: 0.886:   9%|▉         | 8/91 [00:07<01:17,  1.07it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.890:   9%|▉         | 8/91 [00:07<01:21,  1.01it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.890:  10%|▉         | 9/91 [00:07<01:11,  1.14it/s]
Epoch 10, validation pixAcc: 0.972, mIoU: 0.890:  10%|▉         | 9/91 [00:08<01:16,  1.08it/s]
Epoch 10, validation pixAcc: 0.972, mIoU: 0.890:  11%|█         | 10/91 [00:08<01:07,  1.20it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.890:  11%|█         | 10/91 [00:08<01:10,  1.14it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.890:  12%|█▏        | 11/91 [00:08<01:03,  1.26it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.888:  12%|█▏        | 11/91 [00:09<01:06,  1.21it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.888:  13%|█▎        | 12/91 [00:09<01:00,  1.31it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.884:  13%|█▎        | 12/91 [00:09<01:02,  1.26it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.884:  14%|█▍        | 13/91 [00:09<00:57,  1.36it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.894:  14%|█▍        | 13/91 [00:09<00:59,  1.30it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.894:  15%|█▌        | 14/91 [00:09<00:54,  1.40it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.891:  15%|█▌        | 14/91 [00:10<00:57,  1.34it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.891:  16%|█▋        | 15/91 [00:10<00:52,  1.44it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.898:  16%|█▋        | 15/91 [00:10<00:55,  1.38it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.898:  18%|█▊        | 16/91 [00:10<00:50,  1.47it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.897:  18%|█▊        | 16/91 [00:11<00:53,  1.41it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.897:  19%|█▊        | 17/91 [00:11<00:49,  1.50it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.896:  19%|█▊        | 17/91 [00:11<00:51,  1.45it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.896:  20%|█▉        | 18/91 [00:11<00:47,  1.53it/s]
Epoch 10, validation pixAcc: 0.972, mIoU: 0.890:  20%|█▉        | 18/91 [00:12<00:49,  1.48it/s]
Epoch 10, validation pixAcc: 0.972, mIoU: 0.890:  21%|██        | 19/91 [00:12<00:46,  1.56it/s]
Epoch 10, validation pixAcc: 0.972, mIoU: 0.886:  21%|██        | 19/91 [00:12<00:47,  1.51it/s]
Epoch 10, validation pixAcc: 0.972, mIoU: 0.886:  22%|██▏       | 20/91 [00:12<00:44,  1.59it/s]
Epoch 10, validation pixAcc: 0.972, mIoU: 0.887:  22%|██▏       | 20/91 [00:13<00:46,  1.53it/s]
Epoch 10, validation pixAcc: 0.972, mIoU: 0.887:  23%|██▎       | 21/91 [00:13<00:43,  1.61it/s]
Epoch 10, validation pixAcc: 0.972, mIoU: 0.887:  23%|██▎       | 21/91 [00:13<00:44,  1.56it/s]
Epoch 10, validation pixAcc: 0.972, mIoU: 0.887:  24%|██▍       | 22/91 [00:13<00:42,  1.63it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.889:  24%|██▍       | 22/91 [00:13<00:43,  1.58it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.889:  25%|██▌       | 23/91 [00:13<00:41,  1.66it/s]
Epoch 10, validation pixAcc: 0.972, mIoU: 0.888:  25%|██▌       | 23/91 [00:14<00:42,  1.61it/s]
Epoch 10, validation pixAcc: 0.972, mIoU: 0.888:  26%|██▋       | 24/91 [00:14<00:40,  1.67it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.887:  26%|██▋       | 24/91 [00:14<00:41,  1.62it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.887:  27%|██▋       | 25/91 [00:14<00:38,  1.69it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.889:  27%|██▋       | 25/91 [00:15<00:40,  1.65it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.889:  29%|██▊       | 26/91 [00:15<00:37,  1.71it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.889:  29%|██▊       | 26/91 [00:15<00:39,  1.66it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.889:  30%|██▉       | 27/91 [00:15<00:37,  1.73it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.893:  30%|██▉       | 27/91 [00:16<00:38,  1.68it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.893:  31%|███       | 28/91 [00:16<00:36,  1.75it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.892:  31%|███       | 28/91 [00:16<00:36,  1.70it/s]
Epoch 10, validation pixAcc: 0.973, mIoU: 0.892:  32%|███▏      | 29/91 [00:16<00:35,  1.77it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.894:  32%|███▏      | 29/91 [00:16<00:35,  1.72it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.894:  33%|███▎      | 30/91 [00:16<00:34,  1.78it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.896:  33%|███▎      | 30/91 [00:17<00:35,  1.74it/s]
Epoch 10, validation pixAcc: 0.974, mIoU: 0.896:  34%|███▍      | 31/91 [00:17<00:33,  1.80it/s]
Epoch 10, validation pixAcc: 0.975, mIoU: 0.897:  34%|███▍      | 31/91 [00:17<00:34,  1.76it/s]
Epoch 10, validation pixAcc: 0.975, mIoU: 0.897:  35%|███▌      | 32/91 [00:17<00:32,  1.81it/s]
Epoch 10, validation pixAcc: 0.975, mIoU: 0.899:  35%|███▌      | 32/91 [00:18<00:33,  1.77it/s]
Epoch 10, validation pixAcc: 0.975, mIoU: 0.899:  36%|███▋      | 33/91 [00:18<00:31,  1.82it/s]
Epoch 10, validation pixAcc: 0.975, mIoU: 0.900:  36%|███▋      | 33/91 [00:18<00:32,  1.78it/s]
Epoch 10, validation pixAcc: 0.975, mIoU: 0.900:  37%|███▋      | 34/91 [00:18<00:31,  1.83it/s]
Epoch 10, validation pixAcc: 0.975, mIoU: 0.899:  37%|███▋      | 34/91 [00:18<00:31,  1.79it/s]
Epoch 10, validation pixAcc: 0.975, mIoU: 0.899:  38%|███▊      | 35/91 [00:18<00:30,  1.84it/s]
Epoch 10, validation pixAcc: 0.975, mIoU: 0.900:  38%|███▊      | 35/91 [00:19<00:31,  1.80it/s]
Epoch 10, validation pixAcc: 0.975, mIoU: 0.900:  40%|███▉      | 36/91 [00:19<00:29,  1.85it/s]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.900:  40%|███▉      | 36/91 [00:19<00:30,  1.81it/s]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.900:  41%|████      | 37/91 [00:19<00:29,  1.86it/s]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.900:  41%|████      | 37/91 [00:20<00:29,  1.82it/s]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.900:  42%|████▏     | 38/91 [00:20<00:28,  1.87it/s]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.901:  42%|████▏     | 38/91 [00:20<00:28,  1.83it/s]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.901:  43%|████▎     | 39/91 [00:20<00:27,  1.88it/s]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.902:  43%|████▎     | 39/91 [00:21<00:28,  1.84it/s]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.902:  44%|████▍     | 40/91 [00:21<00:27,  1.89it/s]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.902:  44%|████▍     | 40/91 [00:21<00:27,  1.85it/s]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.902:  45%|████▌     | 41/91 [00:21<00:26,  1.90it/s]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.902:  45%|████▌     | 41/91 [00:21<00:26,  1.86it/s]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.902:  46%|████▌     | 42/91 [00:21<00:25,  1.91it/s]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.903:  46%|████▌     | 42/91 [00:22<00:26,  1.87it/s]
Epoch 10, validation pixAcc: 0.976, mIoU: 0.903:  47%|████▋     | 43/91 [00:22<00:25,  1.92it/s]
Epoch 10, validation pixAcc: 0.977, mIoU: 0.904:  47%|████▋     | 43/91 [00:22<00:25,  1.88it/s]
Epoch 10, validation pixAcc: 0.977, mIoU: 0.904:  48%|████▊     | 44/91 [00:22<00:24,  1.93it/s]
Epoch 10, validation pixAcc: 0.977, mIoU: 0.904:  48%|████▊     | 44/91 [00:23<00:24,  1.89it/s]
Epoch 10, validation pixAcc: 0.977, mIoU: 0.904:  49%|████▉     | 45/91 [00:23<00:23,  1.94it/s]
Epoch 10, validation pixAcc: 0.977, mIoU: 0.905:  49%|████▉     | 45/91 [00:23<00:24,  1.90it/s]
Epoch 10, validation pixAcc: 0.977, mIoU: 0.905:  51%|█████     | 46/91 [00:23<00:23,  1.94it/s]
Epoch 10, validation pixAcc: 0.977, mIoU: 0.905:  51%|█████     | 46/91 [00:24<00:23,  1.91it/s]
Epoch 10, validation pixAcc: 0.977, mIoU: 0.905:  52%|█████▏    | 47/91 [00:24<00:22,  1.95it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.905:  52%|█████▏    | 47/91 [00:24<00:22,  1.92it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.905:  53%|█████▎    | 48/91 [00:24<00:21,  1.96it/s]
Epoch 10, validation pixAcc: 0.977, mIoU: 0.905:  53%|█████▎    | 48/91 [00:24<00:22,  1.93it/s]
Epoch 10, validation pixAcc: 0.977, mIoU: 0.905:  54%|█████▍    | 49/91 [00:24<00:21,  1.97it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.905:  54%|█████▍    | 49/91 [00:25<00:21,  1.93it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.905:  55%|█████▍    | 50/91 [00:25<00:20,  1.97it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.906:  55%|█████▍    | 50/91 [00:25<00:21,  1.94it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.906:  56%|█████▌    | 51/91 [00:25<00:20,  1.98it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.907:  56%|█████▌    | 51/91 [00:26<00:20,  1.95it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.907:  57%|█████▋    | 52/91 [00:26<00:19,  1.98it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.906:  57%|█████▋    | 52/91 [00:26<00:19,  1.95it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.906:  58%|█████▊    | 53/91 [00:26<00:19,  1.99it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.906:  58%|█████▊    | 53/91 [00:27<00:19,  1.96it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.906:  59%|█████▉    | 54/91 [00:27<00:18,  1.99it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.906:  59%|█████▉    | 54/91 [00:27<00:18,  1.96it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.906:  60%|██████    | 55/91 [00:27<00:18,  2.00it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.907:  60%|██████    | 55/91 [00:28<00:18,  1.96it/s]
Epoch 10, validation pixAcc: 0.978, mIoU: 0.907:  62%|██████▏   | 56/91 [00:28<00:17,  2.00it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.907:  62%|██████▏   | 56/91 [00:28<00:17,  1.97it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.907:  63%|██████▎   | 57/91 [00:28<00:16,  2.00it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.907:  63%|██████▎   | 57/91 [00:28<00:17,  1.98it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.907:  64%|██████▎   | 58/91 [00:28<00:16,  2.01it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.907:  64%|██████▎   | 58/91 [00:29<00:16,  1.98it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.907:  65%|██████▍   | 59/91 [00:29<00:15,  2.01it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.906:  65%|██████▍   | 59/91 [00:29<00:16,  1.99it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.906:  66%|██████▌   | 60/91 [00:29<00:15,  2.02it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.908:  66%|██████▌   | 60/91 [00:30<00:15,  1.99it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.908:  67%|██████▋   | 61/91 [00:30<00:14,  2.03it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.909:  67%|██████▋   | 61/91 [00:30<00:15,  2.00it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.909:  68%|██████▊   | 62/91 [00:30<00:14,  2.03it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.909:  68%|██████▊   | 62/91 [00:30<00:14,  2.00it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.909:  69%|██████▉   | 63/91 [00:30<00:13,  2.04it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.909:  69%|██████▉   | 63/91 [00:31<00:13,  2.01it/s]
Epoch 10, validation pixAcc: 0.979, mIoU: 0.909:  70%|███████   | 64/91 [00:31<00:13,  2.04it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.910:  70%|███████   | 64/91 [00:31<00:13,  2.02it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.910:  71%|███████▏  | 65/91 [00:31<00:12,  2.05it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.911:  71%|███████▏  | 65/91 [00:32<00:12,  2.02it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.911:  73%|███████▎  | 66/91 [00:32<00:12,  2.05it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.911:  73%|███████▎  | 66/91 [00:32<00:12,  2.02it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.911:  74%|███████▎  | 67/91 [00:32<00:11,  2.05it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.911:  74%|███████▎  | 67/91 [00:33<00:11,  2.03it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.911:  75%|███████▍  | 68/91 [00:33<00:11,  2.06it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.910:  75%|███████▍  | 68/91 [00:33<00:11,  2.03it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.910:  76%|███████▌  | 69/91 [00:33<00:10,  2.06it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.911:  76%|███████▌  | 69/91 [00:33<00:10,  2.04it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.911:  77%|███████▋  | 70/91 [00:33<00:10,  2.07it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.911:  77%|███████▋  | 70/91 [00:34<00:10,  2.04it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.911:  78%|███████▊  | 71/91 [00:34<00:09,  2.07it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  78%|███████▊  | 71/91 [00:34<00:09,  2.05it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  79%|███████▉  | 72/91 [00:34<00:09,  2.08it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  79%|███████▉  | 72/91 [00:35<00:09,  2.05it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  80%|████████  | 73/91 [00:35<00:08,  2.08it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  80%|████████  | 73/91 [00:35<00:08,  2.05it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  81%|████████▏ | 74/91 [00:35<00:08,  2.08it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  81%|████████▏ | 74/91 [00:35<00:08,  2.06it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  82%|████████▏ | 75/91 [00:35<00:07,  2.09it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  82%|████████▏ | 75/91 [00:36<00:07,  2.06it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  84%|████████▎ | 76/91 [00:36<00:07,  2.09it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  84%|████████▎ | 76/91 [00:36<00:07,  2.06it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  85%|████████▍ | 77/91 [00:36<00:06,  2.09it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  85%|████████▍ | 77/91 [00:37<00:06,  2.07it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  86%|████████▌ | 78/91 [00:37<00:06,  2.09it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  86%|████████▌ | 78/91 [00:37<00:06,  2.07it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.912:  87%|████████▋ | 79/91 [00:37<00:05,  2.10it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.913:  87%|████████▋ | 79/91 [00:38<00:05,  2.08it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.913:  88%|████████▊ | 80/91 [00:38<00:05,  2.10it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.913:  88%|████████▊ | 80/91 [00:38<00:05,  2.08it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.913:  89%|████████▉ | 81/91 [00:38<00:04,  2.11it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  89%|████████▉ | 81/91 [00:38<00:04,  2.08it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  90%|█████████ | 82/91 [00:38<00:04,  2.11it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  90%|█████████ | 82/91 [00:39<00:04,  2.09it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  91%|█████████ | 83/91 [00:39<00:03,  2.11it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  91%|█████████ | 83/91 [00:39<00:03,  2.09it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  92%|█████████▏| 84/91 [00:39<00:03,  2.12it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  92%|█████████▏| 84/91 [00:40<00:03,  2.09it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  93%|█████████▎| 85/91 [00:40<00:02,  2.12it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.915:  93%|█████████▎| 85/91 [00:40<00:02,  2.10it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.915:  95%|█████████▍| 86/91 [00:40<00:02,  2.12it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  95%|█████████▍| 86/91 [00:40<00:02,  2.10it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  96%|█████████▌| 87/91 [00:40<00:01,  2.13it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  96%|█████████▌| 87/91 [00:41<00:01,  2.11it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  97%|█████████▋| 88/91 [00:41<00:01,  2.13it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  97%|█████████▋| 88/91 [00:41<00:01,  2.11it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  98%|█████████▊| 89/91 [00:41<00:00,  2.13it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  98%|█████████▊| 89/91 [00:42<00:00,  2.11it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  99%|█████████▉| 90/91 [00:42<00:00,  2.14it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914:  99%|█████████▉| 90/91 [00:42<00:00,  2.11it/s]
Epoch 10, validation pixAcc: 0.980, mIoU: 0.914: 100%|██████████| 91/91 [00:42<00:00,  2.14it/s]

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Epoch 11, training loss 0.155:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 11, training loss 0.155:   1%|          | 1/182 [00:05<15:38,  5.18s/it]
Epoch 11, training loss 0.145:   1%|          | 1/182 [00:05<17:44,  5.88s/it]
Epoch 11, training loss 0.145:   1%|          | 2/182 [00:06<09:36,  3.20s/it]
Epoch 11, training loss 0.130:   1%|          | 2/182 [00:07<10:48,  3.60s/it]
Epoch 11, training loss 0.130:   2%|▏         | 3/182 [00:07<07:39,  2.57s/it]
Epoch 11, training loss 0.173:   2%|▏         | 3/182 [00:08<08:13,  2.76s/it]
Epoch 11, training loss 0.173:   2%|▏         | 4/182 [00:08<06:30,  2.19s/it]
Epoch 11, training loss 0.159:   2%|▏         | 4/182 [00:09<06:56,  2.34s/it]
Epoch 11, training loss 0.159:   3%|▎         | 5/182 [00:09<05:49,  1.98s/it]
Epoch 11, training loss 0.141:   3%|▎         | 5/182 [00:10<06:12,  2.10s/it]
Epoch 11, training loss 0.141:   3%|▎         | 6/182 [00:11<05:23,  1.84s/it]
Epoch 11, training loss 0.127:   3%|▎         | 6/182 [00:11<05:41,  1.94s/it]
Epoch 11, training loss 0.127:   4%|▍         | 7/182 [00:12<05:03,  1.74s/it]
Epoch 11, training loss 0.130:   4%|▍         | 7/182 [00:12<05:19,  1.82s/it]
Epoch 11, training loss 0.130:   4%|▍         | 8/182 [00:13<04:48,  1.66s/it]
Epoch 11, training loss 0.119:   4%|▍         | 8/182 [00:13<05:01,  1.74s/it]
Epoch 11, training loss 0.119:   5%|▍         | 9/182 [00:14<04:36,  1.60s/it]
Epoch 11, training loss 0.159:   5%|▍         | 9/182 [00:15<04:48,  1.67s/it]
Epoch 11, training loss 0.159:   5%|▌         | 10/182 [00:15<04:27,  1.55s/it]
Epoch 11, training loss 0.148:   5%|▌         | 10/182 [00:16<04:37,  1.62s/it]
Epoch 11, training loss 0.148:   6%|▌         | 11/182 [00:16<04:19,  1.52s/it]
Epoch 11, training loss 0.166:   6%|▌         | 11/182 [00:17<04:29,  1.58s/it]
Epoch 11, training loss 0.166:   7%|▋         | 12/182 [00:17<04:13,  1.49s/it]
Epoch 11, training loss 0.172:   7%|▋         | 12/182 [00:18<04:23,  1.55s/it]
Epoch 11, training loss 0.172:   7%|▋         | 13/182 [00:19<04:07,  1.47s/it]
Epoch 11, training loss 0.169:   7%|▋         | 13/182 [00:19<04:16,  1.52s/it]
Epoch 11, training loss 0.169:   8%|▊         | 14/182 [00:20<04:02,  1.44s/it]
Epoch 11, training loss 0.174:   8%|▊         | 14/182 [00:20<04:09,  1.49s/it]
Epoch 11, training loss 0.174:   8%|▊         | 15/182 [00:21<03:57,  1.42s/it]
Epoch 11, training loss 0.169:   8%|▊         | 15/182 [00:22<04:05,  1.47s/it]
Epoch 11, training loss 0.169:   9%|▉         | 16/182 [00:22<03:53,  1.41s/it]
Epoch 11, training loss 0.164:   9%|▉         | 16/182 [00:23<04:01,  1.45s/it]
Epoch 11, training loss 0.164:   9%|▉         | 17/182 [00:23<03:50,  1.40s/it]
Epoch 11, training loss 0.161:   9%|▉         | 17/182 [00:24<03:56,  1.43s/it]
Epoch 11, training loss 0.161:  10%|▉         | 18/182 [00:24<03:46,  1.38s/it]
Epoch 11, training loss 0.155:  10%|▉         | 18/182 [00:25<03:53,  1.42s/it]
Epoch 11, training loss 0.155:  10%|█         | 19/182 [00:26<03:43,  1.37s/it]
Epoch 11, training loss 0.152:  10%|█         | 19/182 [00:26<03:49,  1.41s/it]
Epoch 11, training loss 0.152:  11%|█         | 20/182 [00:27<03:40,  1.36s/it]
Epoch 11, training loss 0.149:  11%|█         | 20/182 [00:27<03:45,  1.39s/it]
Epoch 11, training loss 0.149:  12%|█▏        | 21/182 [00:28<03:37,  1.35s/it]
Epoch 11, training loss 0.148:  12%|█▏        | 21/182 [00:29<03:42,  1.38s/it]
Epoch 11, training loss 0.148:  12%|█▏        | 22/182 [00:29<03:35,  1.35s/it]
Epoch 11, training loss 0.145:  12%|█▏        | 22/182 [00:30<03:40,  1.38s/it]
Epoch 11, training loss 0.145:  13%|█▎        | 23/182 [00:30<03:33,  1.34s/it]
Epoch 11, training loss 0.148:  13%|█▎        | 23/182 [00:31<03:37,  1.37s/it]
Epoch 11, training loss 0.148:  13%|█▎        | 24/182 [00:31<03:30,  1.33s/it]
Epoch 11, training loss 0.149:  13%|█▎        | 24/182 [00:32<03:34,  1.36s/it]
Epoch 11, training loss 0.149:  14%|█▎        | 25/182 [00:33<03:28,  1.32s/it]
Epoch 11, training loss 0.147:  14%|█▎        | 25/182 [00:33<03:32,  1.35s/it]
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Epoch 11, training loss 0.147:  15%|█▍        | 27/182 [00:35<03:23,  1.31s/it]
Epoch 11, training loss 0.143:  15%|█▍        | 27/182 [00:36<03:26,  1.33s/it]
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Epoch 11, training loss 0.147:  15%|█▌        | 28/182 [00:37<03:24,  1.33s/it]
Epoch 11, training loss 0.147:  16%|█▌        | 29/182 [00:37<03:18,  1.30s/it]
Epoch 11, training loss 0.146:  16%|█▌        | 29/182 [00:38<03:22,  1.32s/it]
Epoch 11, training loss 0.146:  16%|█▋        | 30/182 [00:38<03:16,  1.29s/it]
Epoch 11, training loss 0.143:  16%|█▋        | 30/182 [00:39<03:20,  1.32s/it]
Epoch 11, training loss 0.143:  17%|█▋        | 31/182 [00:39<03:14,  1.29s/it]
Epoch 11, training loss 0.140:  17%|█▋        | 31/182 [00:40<03:17,  1.31s/it]
Epoch 11, training loss 0.140:  18%|█▊        | 32/182 [00:41<03:12,  1.28s/it]
Epoch 11, training loss 0.140:  18%|█▊        | 32/182 [00:41<03:15,  1.30s/it]
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Epoch 11, training loss 0.139:  19%|█▊        | 34/182 [00:43<03:08,  1.28s/it]
Epoch 11, training loss 0.142:  19%|█▊        | 34/182 [00:43<03:11,  1.29s/it]
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Epoch 11, training loss 0.139:  20%|█▉        | 36/182 [00:46<03:07,  1.28s/it]
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Epoch 11, training loss 0.138:  20%|██        | 37/182 [00:47<03:05,  1.28s/it]
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Epoch 11, training loss 0.136:  21%|██        | 38/182 [00:48<03:04,  1.28s/it]
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Epoch 11, training loss 0.134:  21%|██▏       | 39/182 [00:49<03:02,  1.28s/it]
Epoch 11, training loss 0.134:  22%|██▏       | 40/182 [00:50<02:58,  1.26s/it]
Epoch 11, training loss 0.132:  22%|██▏       | 40/182 [00:50<03:00,  1.27s/it]
Epoch 11, training loss 0.132:  23%|██▎       | 41/182 [00:51<02:56,  1.25s/it]
Epoch 11, training loss 0.130:  23%|██▎       | 41/182 [00:51<02:58,  1.27s/it]
Epoch 11, training loss 0.130:  23%|██▎       | 42/182 [00:52<02:54,  1.25s/it]
Epoch 11, training loss 0.135:  23%|██▎       | 42/182 [00:53<02:56,  1.26s/it]
Epoch 11, training loss 0.135:  24%|██▎       | 43/182 [00:53<02:53,  1.25s/it]
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Epoch 11, training loss 0.132:  25%|██▍       | 45/182 [00:55<02:49,  1.24s/it]
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Epoch 11, training loss 0.130:  25%|██▌       | 46/182 [00:56<02:48,  1.24s/it]
Epoch 11, training loss 0.131:  25%|██▌       | 46/182 [00:57<02:50,  1.25s/it]
Epoch 11, training loss 0.131:  26%|██▌       | 47/182 [00:58<02:46,  1.24s/it]
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Epoch 11, training loss 0.130:  26%|██▋       | 48/182 [00:59<02:45,  1.23s/it]
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Epoch 11, training loss 0.131:  27%|██▋       | 49/182 [01:00<02:43,  1.23s/it]
Epoch 11, training loss 0.131:  27%|██▋       | 49/182 [01:00<02:45,  1.24s/it]
Epoch 11, training loss 0.131:  27%|██▋       | 50/182 [01:01<02:42,  1.23s/it]
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Epoch 11, training loss 0.130:  28%|██▊       | 51/182 [01:02<02:40,  1.23s/it]
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Epoch 11, training loss 0.129:  29%|██▊       | 52/182 [01:03<02:39,  1.23s/it]
Epoch 11, training loss 0.129:  29%|██▊       | 52/182 [01:04<02:41,  1.24s/it]
Epoch 11, training loss 0.129:  29%|██▉       | 53/182 [01:04<02:38,  1.23s/it]
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Epoch 11, training loss 0.130:  30%|██▉       | 54/182 [01:06<02:36,  1.22s/it]
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Epoch 11, training loss 0.132:  30%|███       | 55/182 [01:07<02:35,  1.22s/it]
Epoch 11, training loss 0.133:  30%|███       | 55/182 [01:07<02:36,  1.23s/it]
Epoch 11, training loss 0.133:  31%|███       | 56/182 [01:08<02:33,  1.22s/it]
Epoch 11, training loss 0.131:  31%|███       | 56/182 [01:08<02:35,  1.23s/it]
Epoch 11, training loss 0.131:  31%|███▏      | 57/182 [01:09<02:32,  1.22s/it]
Epoch 11, training loss 0.129:  31%|███▏      | 57/182 [01:10<02:33,  1.23s/it]
Epoch 11, training loss 0.129:  32%|███▏      | 58/182 [01:10<02:30,  1.22s/it]
Epoch 11, training loss 0.128:  32%|███▏      | 58/182 [01:11<02:32,  1.23s/it]
Epoch 11, training loss 0.128:  32%|███▏      | 59/182 [01:11<02:29,  1.22s/it]
Epoch 11, training loss 0.127:  32%|███▏      | 59/182 [01:12<02:30,  1.23s/it]
Epoch 11, training loss 0.127:  33%|███▎      | 60/182 [01:12<02:28,  1.22s/it]
Epoch 11, training loss 0.126:  33%|███▎      | 60/182 [01:13<02:29,  1.23s/it]
Epoch 11, training loss 0.126:  34%|███▎      | 61/182 [01:14<02:26,  1.21s/it]
Epoch 11, training loss 0.126:  34%|███▎      | 61/182 [01:14<02:28,  1.23s/it]
Epoch 11, training loss 0.126:  34%|███▍      | 62/182 [01:15<02:25,  1.21s/it]
Epoch 11, training loss 0.124:  34%|███▍      | 62/182 [01:15<02:26,  1.22s/it]
Epoch 11, training loss 0.124:  35%|███▍      | 63/182 [01:16<02:24,  1.21s/it]
Epoch 11, training loss 0.123:  35%|███▍      | 63/182 [01:17<02:25,  1.22s/it]
Epoch 11, training loss 0.123:  35%|███▌      | 64/182 [01:17<02:22,  1.21s/it]
Epoch 11, training loss 0.121:  35%|███▌      | 64/182 [01:18<02:24,  1.22s/it]
Epoch 11, training loss 0.121:  36%|███▌      | 65/182 [01:18<02:21,  1.21s/it]
Epoch 11, training loss 0.123:  36%|███▌      | 65/182 [01:19<02:22,  1.22s/it]
Epoch 11, training loss 0.123:  36%|███▋      | 66/182 [01:19<02:20,  1.21s/it]
Epoch 11, training loss 0.124:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 11, training loss 0.124:  37%|███▋      | 67/182 [01:20<02:18,  1.21s/it]
Epoch 11, training loss 0.125:  37%|███▋      | 67/182 [01:21<02:19,  1.22s/it]
Epoch 11, training loss 0.125:  37%|███▋      | 68/182 [01:22<02:17,  1.21s/it]
Epoch 11, training loss 0.126:  37%|███▋      | 68/182 [01:22<02:18,  1.21s/it]
Epoch 11, training loss 0.126:  38%|███▊      | 69/182 [01:23<02:16,  1.20s/it]
Epoch 11, training loss 0.126:  38%|███▊      | 69/182 [01:23<02:17,  1.22s/it]
Epoch 11, training loss 0.126:  38%|███▊      | 70/182 [01:24<02:14,  1.21s/it]
Epoch 11, training loss 0.126:  38%|███▊      | 70/182 [01:25<02:16,  1.21s/it]
Epoch 11, training loss 0.126:  39%|███▉      | 71/182 [01:25<02:13,  1.20s/it]
Epoch 11, training loss 0.125:  39%|███▉      | 71/182 [01:26<02:14,  1.21s/it]
Epoch 11, training loss 0.125:  40%|███▉      | 72/182 [01:26<02:12,  1.20s/it]
Epoch 11, training loss 0.125:  40%|███▉      | 72/182 [01:27<02:13,  1.21s/it]
Epoch 11, training loss 0.125:  40%|████      | 73/182 [01:27<02:11,  1.20s/it]
Epoch 11, training loss 0.123:  40%|████      | 73/182 [01:28<02:12,  1.21s/it]
Epoch 11, training loss 0.123:  41%|████      | 74/182 [01:29<02:09,  1.20s/it]
Epoch 11, training loss 0.123:  41%|████      | 74/182 [01:29<02:10,  1.21s/it]
Epoch 11, training loss 0.123:  41%|████      | 75/182 [01:30<02:08,  1.20s/it]
Epoch 11, training loss 0.130:  41%|████      | 75/182 [01:30<02:09,  1.21s/it]
Epoch 11, training loss 0.130:  42%|████▏     | 76/182 [01:31<02:07,  1.20s/it]
Epoch 11, training loss 0.130:  42%|████▏     | 76/182 [01:31<02:08,  1.21s/it]
Epoch 11, training loss 0.130:  42%|████▏     | 77/182 [01:32<02:05,  1.20s/it]
Epoch 11, training loss 0.131:  42%|████▏     | 77/182 [01:32<02:06,  1.21s/it]
Epoch 11, training loss 0.131:  43%|████▎     | 78/182 [01:33<02:04,  1.20s/it]
Epoch 11, training loss 0.131:  43%|████▎     | 78/182 [01:34<02:05,  1.21s/it]
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Epoch 11, training loss 0.132:  43%|████▎     | 79/182 [01:35<02:04,  1.20s/it]
Epoch 11, training loss 0.132:  44%|████▍     | 80/182 [01:35<02:02,  1.20s/it]
Epoch 11, training loss 0.131:  44%|████▍     | 80/182 [01:36<02:02,  1.20s/it]
Epoch 11, training loss 0.131:  45%|████▍     | 81/182 [01:36<02:00,  1.20s/it]
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Epoch 11, training loss 0.130:  45%|████▌     | 82/182 [01:37<01:59,  1.19s/it]
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Epoch 11, training loss 0.131:  46%|████▌     | 83/182 [01:39<01:58,  1.19s/it]
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Epoch 11, training loss 0.131:  46%|████▌     | 84/182 [01:40<01:57,  1.20s/it]
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Epoch 11, training loss 0.132:  48%|████▊     | 87/182 [01:43<01:53,  1.19s/it]
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Epoch 11, training loss 0.131:  48%|████▊     | 88/182 [01:44<01:52,  1.19s/it]
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Epoch 11, training loss 0.130:  49%|████▉     | 89/182 [01:46<01:50,  1.19s/it]
Epoch 11, training loss 0.132:  49%|████▉     | 89/182 [01:46<01:51,  1.20s/it]
Epoch 11, training loss 0.132:  49%|████▉     | 90/182 [01:47<01:49,  1.19s/it]
Epoch 11, training loss 0.133:  49%|████▉     | 90/182 [01:47<01:50,  1.20s/it]
Epoch 11, training loss 0.133:  50%|█████     | 91/182 [01:48<01:48,  1.19s/it]
Epoch 11, training loss 0.135:  50%|█████     | 91/182 [01:49<01:49,  1.20s/it]
Epoch 11, training loss 0.135:  51%|█████     | 92/182 [01:49<01:47,  1.19s/it]
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Epoch 11, training loss 0.134:  52%|█████▏    | 94/182 [01:51<01:44,  1.19s/it]
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Epoch 11, training loss 0.134:  52%|█████▏    | 95/182 [01:52<01:43,  1.19s/it]
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Epoch 11, training loss 0.133:  53%|█████▎    | 96/182 [01:54<01:42,  1.19s/it]
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Epoch 11, training loss 0.133:  53%|█████▎    | 97/182 [01:55<01:40,  1.19s/it]
Epoch 11, training loss 0.132:  53%|█████▎    | 97/182 [01:55<01:41,  1.19s/it]
Epoch 11, training loss 0.132:  54%|█████▍    | 98/182 [01:56<01:39,  1.19s/it]
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Epoch 11, training loss 0.133:  54%|█████▍    | 99/182 [01:57<01:38,  1.19s/it]
Epoch 11, training loss 0.137:  54%|█████▍    | 99/182 [01:58<01:38,  1.19s/it]
Epoch 11, training loss 0.137:  55%|█████▍    | 100/182 [01:58<01:37,  1.19s/it]
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Epoch 11, training loss 0.136:  55%|█████▌    | 101/182 [01:59<01:35,  1.18s/it]
Epoch 11, training loss 0.136:  55%|█████▌    | 101/182 [02:00<01:36,  1.19s/it]
Epoch 11, training loss 0.136:  56%|█████▌    | 102/182 [02:00<01:34,  1.18s/it]
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Epoch 11, training loss 0.135:  57%|█████▋    | 103/182 [02:02<01:33,  1.18s/it]
Epoch 11, training loss 0.135:  57%|█████▋    | 103/182 [02:02<01:34,  1.19s/it]
Epoch 11, training loss 0.135:  57%|█████▋    | 104/182 [02:03<01:32,  1.18s/it]
Epoch 11, training loss 0.135:  57%|█████▋    | 104/182 [02:03<01:32,  1.19s/it]
Epoch 11, training loss 0.135:  58%|█████▊    | 105/182 [02:04<01:31,  1.18s/it]
Epoch 11, training loss 0.136:  58%|█████▊    | 105/182 [02:04<01:31,  1.19s/it]
Epoch 11, training loss 0.136:  58%|█████▊    | 106/182 [02:05<01:29,  1.18s/it]
Epoch 11, training loss 0.135:  58%|█████▊    | 106/182 [02:06<01:30,  1.19s/it]
Epoch 11, training loss 0.135:  59%|█████▉    | 107/182 [02:06<01:28,  1.18s/it]
Epoch 11, training loss 0.135:  59%|█████▉    | 107/182 [02:07<01:29,  1.19s/it]
Epoch 11, training loss 0.135:  59%|█████▉    | 108/182 [02:07<01:27,  1.18s/it]
Epoch 11, training loss 0.134:  59%|█████▉    | 108/182 [02:08<01:27,  1.19s/it]
Epoch 11, training loss 0.134:  60%|█████▉    | 109/182 [02:08<01:26,  1.18s/it]
Epoch 11, training loss 0.135:  60%|█████▉    | 109/182 [02:09<01:26,  1.19s/it]
Epoch 11, training loss 0.135:  60%|██████    | 110/182 [02:10<01:25,  1.18s/it]
Epoch 11, training loss 0.134:  60%|██████    | 110/182 [02:10<01:25,  1.19s/it]
Epoch 11, training loss 0.134:  61%|██████    | 111/182 [02:11<01:23,  1.18s/it]
Epoch 11, training loss 0.134:  61%|██████    | 111/182 [02:11<01:24,  1.19s/it]
Epoch 11, training loss 0.134:  62%|██████▏   | 112/182 [02:12<01:22,  1.18s/it]
Epoch 11, training loss 0.139:  62%|██████▏   | 112/182 [02:12<01:23,  1.19s/it]
Epoch 11, training loss 0.139:  62%|██████▏   | 113/182 [02:13<01:21,  1.18s/it]
Epoch 11, training loss 0.138:  62%|██████▏   | 113/182 [02:14<01:21,  1.19s/it]
Epoch 11, training loss 0.138:  63%|██████▎   | 114/182 [02:14<01:20,  1.18s/it]
Epoch 11, training loss 0.138:  63%|██████▎   | 114/182 [02:15<01:20,  1.19s/it]
Epoch 11, training loss 0.138:  63%|██████▎   | 115/182 [02:15<01:19,  1.18s/it]
Epoch 11, training loss 0.137:  63%|██████▎   | 115/182 [02:16<01:19,  1.18s/it]
Epoch 11, training loss 0.137:  64%|██████▎   | 116/182 [02:16<01:17,  1.18s/it]
Epoch 11, training loss 0.137:  64%|██████▎   | 116/182 [02:17<01:18,  1.18s/it]
Epoch 11, training loss 0.137:  64%|██████▍   | 117/182 [02:17<01:16,  1.18s/it]
Epoch 11, training loss 0.138:  64%|██████▍   | 117/182 [02:18<01:16,  1.18s/it]
Epoch 11, training loss 0.138:  65%|██████▍   | 118/182 [02:19<01:15,  1.18s/it]
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Epoch 11, training loss 0.137:  65%|██████▌   | 119/182 [02:20<01:14,  1.18s/it]
Epoch 11, training loss 0.140:  65%|██████▌   | 119/182 [02:20<01:14,  1.18s/it]
Epoch 11, training loss 0.140:  66%|██████▌   | 120/182 [02:21<01:13,  1.18s/it]
Epoch 11, training loss 0.139:  66%|██████▌   | 120/182 [02:22<01:13,  1.18s/it]
Epoch 11, training loss 0.139:  66%|██████▋   | 121/182 [02:22<01:11,  1.18s/it]
Epoch 11, training loss 0.141:  66%|██████▋   | 121/182 [02:23<01:12,  1.18s/it]
Epoch 11, training loss 0.141:  67%|██████▋   | 122/182 [02:23<01:10,  1.18s/it]
Epoch 11, training loss 0.141:  67%|██████▋   | 122/182 [02:24<01:10,  1.18s/it]
Epoch 11, training loss 0.141:  68%|██████▊   | 123/182 [02:24<01:09,  1.18s/it]
Epoch 11, training loss 0.141:  68%|██████▊   | 123/182 [02:25<01:09,  1.18s/it]
Epoch 11, training loss 0.141:  68%|██████▊   | 124/182 [02:25<01:08,  1.18s/it]
Epoch 11, training loss 0.142:  68%|██████▊   | 124/182 [02:26<01:08,  1.18s/it]
Epoch 11, training loss 0.142:  69%|██████▊   | 125/182 [02:26<01:07,  1.18s/it]
Epoch 11, training loss 0.142:  69%|██████▊   | 125/182 [02:27<01:07,  1.18s/it]
Epoch 11, training loss 0.142:  69%|██████▉   | 126/182 [02:28<01:05,  1.17s/it]
Epoch 11, training loss 0.142:  69%|██████▉   | 126/182 [02:28<01:06,  1.18s/it]
Epoch 11, training loss 0.142:  70%|██████▉   | 127/182 [02:29<01:04,  1.17s/it]
Epoch 11, training loss 0.142:  70%|██████▉   | 127/182 [02:29<01:04,  1.18s/it]
Epoch 11, training loss 0.142:  70%|███████   | 128/182 [02:30<01:03,  1.17s/it]
Epoch 11, training loss 0.143:  70%|███████   | 128/182 [02:30<01:03,  1.18s/it]
Epoch 11, training loss 0.143:  71%|███████   | 129/182 [02:31<01:02,  1.17s/it]
Epoch 11, training loss 0.143:  71%|███████   | 129/182 [02:32<01:02,  1.18s/it]
Epoch 11, training loss 0.143:  71%|███████▏  | 130/182 [02:32<01:01,  1.17s/it]
Epoch 11, training loss 0.142:  71%|███████▏  | 130/182 [02:33<01:01,  1.18s/it]
Epoch 11, training loss 0.142:  72%|███████▏  | 131/182 [02:33<00:59,  1.17s/it]
Epoch 11, training loss 0.142:  72%|███████▏  | 131/182 [02:34<01:00,  1.18s/it]
Epoch 11, training loss 0.142:  73%|███████▎  | 132/182 [02:34<00:58,  1.17s/it]
Epoch 11, training loss 0.141:  73%|███████▎  | 132/182 [02:35<00:58,  1.18s/it]
Epoch 11, training loss 0.141:  73%|███████▎  | 133/182 [02:36<00:57,  1.17s/it]
Epoch 11, training loss 0.147:  73%|███████▎  | 133/182 [02:36<00:57,  1.18s/it]
Epoch 11, training loss 0.147:  74%|███████▎  | 134/182 [02:37<00:56,  1.17s/it]
Epoch 11, training loss 0.146:  74%|███████▎  | 134/182 [02:37<00:56,  1.18s/it]
Epoch 11, training loss 0.146:  74%|███████▍  | 135/182 [02:38<00:55,  1.17s/it]
Epoch 11, training loss 0.146:  74%|███████▍  | 135/182 [02:39<00:55,  1.18s/it]
Epoch 11, training loss 0.146:  75%|███████▍  | 136/182 [02:39<00:53,  1.17s/it]
Epoch 11, training loss 0.146:  75%|███████▍  | 136/182 [02:40<00:54,  1.18s/it]
Epoch 11, training loss 0.146:  75%|███████▌  | 137/182 [02:40<00:52,  1.17s/it]
Epoch 11, training loss 0.145:  75%|███████▌  | 137/182 [02:41<00:52,  1.18s/it]
Epoch 11, training loss 0.145:  76%|███████▌  | 138/182 [02:41<00:51,  1.17s/it]
Epoch 11, training loss 0.145:  76%|███████▌  | 138/182 [02:42<00:51,  1.18s/it]
Epoch 11, training loss 0.145:  76%|███████▋  | 139/182 [02:42<00:50,  1.17s/it]
Epoch 11, training loss 0.144:  76%|███████▋  | 139/182 [02:43<00:50,  1.18s/it]
Epoch 11, training loss 0.144:  77%|███████▋  | 140/182 [02:44<00:49,  1.17s/it]
Epoch 11, training loss 0.144:  77%|███████▋  | 140/182 [02:44<00:49,  1.18s/it]
Epoch 11, training loss 0.144:  77%|███████▋  | 141/182 [02:45<00:48,  1.17s/it]
Epoch 11, training loss 0.143:  77%|███████▋  | 141/182 [02:45<00:48,  1.18s/it]
Epoch 11, training loss 0.143:  78%|███████▊  | 142/182 [02:46<00:46,  1.17s/it]
Epoch 11, training loss 0.143:  78%|███████▊  | 142/182 [02:47<00:47,  1.18s/it]
Epoch 11, training loss 0.143:  79%|███████▊  | 143/182 [02:47<00:45,  1.17s/it]
Epoch 11, training loss 0.142:  79%|███████▊  | 143/182 [02:48<00:45,  1.18s/it]
Epoch 11, training loss 0.142:  79%|███████▉  | 144/182 [02:48<00:44,  1.17s/it]
Epoch 11, training loss 0.141:  79%|███████▉  | 144/182 [02:49<00:44,  1.18s/it]
Epoch 11, training loss 0.141:  80%|███████▉  | 145/182 [02:49<00:43,  1.17s/it]
Epoch 11, training loss 0.141:  80%|███████▉  | 145/182 [02:50<00:43,  1.18s/it]
Epoch 11, training loss 0.141:  80%|████████  | 146/182 [02:51<00:42,  1.17s/it]
Epoch 11, training loss 0.141:  80%|████████  | 146/182 [02:51<00:42,  1.18s/it]
Epoch 11, training loss 0.141:  81%|████████  | 147/182 [02:52<00:41,  1.17s/it]
Epoch 11, training loss 0.140:  81%|████████  | 147/182 [02:52<00:41,  1.18s/it]
Epoch 11, training loss 0.140:  81%|████████▏ | 148/182 [02:53<00:39,  1.17s/it]
Epoch 11, training loss 0.140:  81%|████████▏ | 148/182 [02:53<00:39,  1.18s/it]
Epoch 11, training loss 0.140:  82%|████████▏ | 149/182 [02:54<00:38,  1.17s/it]
Epoch 11, training loss 0.140:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 11, training loss 0.140:  82%|████████▏ | 150/182 [02:55<00:37,  1.17s/it]
Epoch 11, training loss 0.139:  82%|████████▏ | 150/182 [02:56<00:37,  1.18s/it]
Epoch 11, training loss 0.139:  83%|████████▎ | 151/182 [02:56<00:36,  1.17s/it]
Epoch 11, training loss 0.140:  83%|████████▎ | 151/182 [02:57<00:36,  1.18s/it]
Epoch 11, training loss 0.140:  84%|████████▎ | 152/182 [02:58<00:35,  1.17s/it]
Epoch 11, training loss 0.139:  84%|████████▎ | 152/182 [02:58<00:35,  1.18s/it]
Epoch 11, training loss 0.139:  84%|████████▍ | 153/182 [02:59<00:33,  1.17s/it]
Epoch 11, training loss 0.139:  84%|████████▍ | 153/182 [02:59<00:34,  1.18s/it]
Epoch 11, training loss 0.139:  85%|████████▍ | 154/182 [03:00<00:32,  1.17s/it]
Epoch 11, training loss 0.140:  85%|████████▍ | 154/182 [03:01<00:32,  1.18s/it]
Epoch 11, training loss 0.140:  85%|████████▌ | 155/182 [03:01<00:31,  1.17s/it]
Epoch 11, training loss 0.139:  85%|████████▌ | 155/182 [03:02<00:31,  1.18s/it]
Epoch 11, training loss 0.139:  86%|████████▌ | 156/182 [03:02<00:30,  1.17s/it]
Epoch 11, training loss 0.139:  86%|████████▌ | 156/182 [03:03<00:30,  1.18s/it]
Epoch 11, training loss 0.139:  86%|████████▋ | 157/182 [03:03<00:29,  1.17s/it]
Epoch 11, training loss 0.139:  86%|████████▋ | 157/182 [03:04<00:29,  1.17s/it]
Epoch 11, training loss 0.139:  87%|████████▋ | 158/182 [03:04<00:28,  1.17s/it]
Epoch 11, training loss 0.138:  87%|████████▋ | 158/182 [03:05<00:28,  1.17s/it]
Epoch 11, training loss 0.138:  87%|████████▋ | 159/182 [03:06<00:26,  1.17s/it]
Epoch 11, training loss 0.138:  87%|████████▋ | 159/182 [03:06<00:27,  1.17s/it]
Epoch 11, training loss 0.138:  88%|████████▊ | 160/182 [03:07<00:25,  1.17s/it]
Epoch 11, training loss 0.137:  88%|████████▊ | 160/182 [03:07<00:25,  1.17s/it]
Epoch 11, training loss 0.137:  88%|████████▊ | 161/182 [03:08<00:24,  1.17s/it]
Epoch 11, training loss 0.137:  88%|████████▊ | 161/182 [03:09<00:24,  1.17s/it]
Epoch 11, training loss 0.137:  89%|████████▉ | 162/182 [03:09<00:23,  1.17s/it]
Epoch 11, training loss 0.136:  89%|████████▉ | 162/182 [03:10<00:23,  1.17s/it]
Epoch 11, training loss 0.136:  90%|████████▉ | 163/182 [03:10<00:22,  1.17s/it]
Epoch 11, training loss 0.135:  90%|████████▉ | 163/182 [03:11<00:22,  1.17s/it]
Epoch 11, training loss 0.135:  90%|█████████ | 164/182 [03:12<00:21,  1.17s/it]
Epoch 11, training loss 0.135:  90%|█████████ | 164/182 [03:12<00:21,  1.17s/it]
Epoch 11, training loss 0.135:  91%|█████████ | 165/182 [03:13<00:19,  1.17s/it]
Epoch 11, training loss 0.138:  91%|█████████ | 165/182 [03:13<00:19,  1.17s/it]
Epoch 11, training loss 0.138:  91%|█████████ | 166/182 [03:14<00:18,  1.17s/it]
Epoch 11, training loss 0.139:  91%|█████████ | 166/182 [03:14<00:18,  1.17s/it]
Epoch 11, training loss 0.139:  92%|█████████▏| 167/182 [03:15<00:17,  1.17s/it]
Epoch 11, training loss 0.139:  92%|█████████▏| 167/182 [03:16<00:17,  1.17s/it]
Epoch 11, training loss 0.139:  92%|█████████▏| 168/182 [03:16<00:16,  1.17s/it]
Epoch 11, training loss 0.140:  92%|█████████▏| 168/182 [03:17<00:16,  1.17s/it]
Epoch 11, training loss 0.140:  93%|█████████▎| 169/182 [03:17<00:15,  1.17s/it]
Epoch 11, training loss 0.141:  93%|█████████▎| 169/182 [03:18<00:15,  1.17s/it]
Epoch 11, training loss 0.141:  93%|█████████▎| 170/182 [03:18<00:14,  1.17s/it]
Epoch 11, training loss 0.141:  93%|█████████▎| 170/182 [03:19<00:14,  1.17s/it]
Epoch 11, training loss 0.141:  94%|█████████▍| 171/182 [03:19<00:12,  1.17s/it]
Epoch 11, training loss 0.141:  94%|█████████▍| 171/182 [03:20<00:12,  1.17s/it]
Epoch 11, training loss 0.141:  95%|█████████▍| 172/182 [03:20<00:11,  1.17s/it]
Epoch 11, training loss 0.140:  95%|█████████▍| 172/182 [03:21<00:11,  1.17s/it]
Epoch 11, training loss 0.140:  95%|█████████▌| 173/182 [03:22<00:10,  1.17s/it]
Epoch 11, training loss 0.141:  95%|█████████▌| 173/182 [03:22<00:10,  1.17s/it]
Epoch 11, training loss 0.141:  96%|█████████▌| 174/182 [03:23<00:09,  1.17s/it]
Epoch 11, training loss 0.140:  96%|█████████▌| 174/182 [03:23<00:09,  1.17s/it]
Epoch 11, training loss 0.140:  96%|█████████▌| 175/182 [03:24<00:08,  1.17s/it]
Epoch 11, training loss 0.140:  96%|█████████▌| 175/182 [03:25<00:08,  1.17s/it]
Epoch 11, training loss 0.140:  97%|█████████▋| 176/182 [03:25<00:07,  1.17s/it]
Epoch 11, training loss 0.140:  97%|█████████▋| 176/182 [03:26<00:07,  1.17s/it]
Epoch 11, training loss 0.140:  97%|█████████▋| 177/182 [03:26<00:05,  1.17s/it]
Epoch 11, training loss 0.140:  97%|█████████▋| 177/182 [03:27<00:05,  1.17s/it]
Epoch 11, training loss 0.140:  98%|█████████▊| 178/182 [03:27<00:04,  1.17s/it]
Epoch 11, training loss 0.139:  98%|█████████▊| 178/182 [03:28<00:04,  1.17s/it]
Epoch 11, training loss 0.139:  98%|█████████▊| 179/182 [03:28<00:03,  1.17s/it]
Epoch 11, training loss 0.139:  98%|█████████▊| 179/182 [03:29<00:03,  1.17s/it]
Epoch 11, training loss 0.139:  99%|█████████▉| 180/182 [03:30<00:02,  1.17s/it]
Epoch 11, training loss 0.139:  99%|█████████▉| 180/182 [03:30<00:02,  1.17s/it]
Epoch 11, training loss 0.139:  99%|█████████▉| 181/182 [03:31<00:01,  1.17s/it]
Epoch 11, training loss 0.139:  99%|█████████▉| 181/182 [03:31<00:01,  1.17s/it]
Epoch 11, training loss 0.139: 100%|██████████| 182/182 [03:32<00:00,  1.17s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.565:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.565:   1%|          | 1/90 [00:04<07:11,  4.85s/it]
Epoch 11, validation pixAcc: 0.974, mIoU: 0.710:   1%|          | 1/90 [00:05<07:50,  5.28s/it]
Epoch 11, validation pixAcc: 0.974, mIoU: 0.710:   2%|▏         | 2/90 [00:05<03:52,  2.64s/it]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.783:   2%|▏         | 2/90 [00:05<04:12,  2.86s/it]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.783:   3%|▎         | 3/90 [00:05<02:46,  1.91s/it]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.831:   3%|▎         | 3/90 [00:06<02:59,  2.06s/it]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.831:   4%|▍         | 4/90 [00:06<02:12,  1.54s/it]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.886:   4%|▍         | 4/90 [00:06<02:22,  1.66s/it]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.886:   6%|▌         | 5/90 [00:06<01:52,  1.32s/it]
Epoch 11, validation pixAcc: 0.972, mIoU: 0.888:   6%|▌         | 5/90 [00:07<01:59,  1.40s/it]
Epoch 11, validation pixAcc: 0.972, mIoU: 0.888:   7%|▋         | 6/90 [00:07<01:38,  1.17s/it]
Epoch 11, validation pixAcc: 0.972, mIoU: 0.880:   7%|▋         | 6/90 [00:07<01:43,  1.24s/it]
Epoch 11, validation pixAcc: 0.972, mIoU: 0.880:   8%|▊         | 7/90 [00:07<01:28,  1.06s/it]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.881:   8%|▊         | 7/90 [00:07<01:32,  1.12s/it]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.881:   9%|▉         | 8/90 [00:07<01:20,  1.02it/s]
Epoch 11, validation pixAcc: 0.974, mIoU: 0.884:   9%|▉         | 8/90 [00:08<01:24,  1.03s/it]
Epoch 11, validation pixAcc: 0.974, mIoU: 0.884:  10%|█         | 9/90 [00:08<01:14,  1.09it/s]
Epoch 11, validation pixAcc: 0.974, mIoU: 0.893:  10%|█         | 9/90 [00:08<01:18,  1.04it/s]
Epoch 11, validation pixAcc: 0.974, mIoU: 0.893:  11%|█         | 10/90 [00:08<01:09,  1.15it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.892:  11%|█         | 10/90 [00:09<01:13,  1.09it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.892:  12%|█▏        | 11/90 [00:09<01:05,  1.20it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.887:  12%|█▏        | 11/90 [00:09<01:08,  1.15it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.887:  13%|█▎        | 12/90 [00:09<01:02,  1.25it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.891:  13%|█▎        | 12/90 [00:10<01:05,  1.19it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.891:  14%|█▍        | 13/90 [00:10<00:59,  1.29it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.898:  14%|█▍        | 13/90 [00:10<01:01,  1.24it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.898:  16%|█▌        | 14/90 [00:10<00:56,  1.34it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.896:  16%|█▌        | 14/90 [00:10<00:58,  1.29it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.896:  17%|█▋        | 15/90 [00:10<00:54,  1.38it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.903:  17%|█▋        | 15/90 [00:11<00:56,  1.33it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.903:  18%|█▊        | 16/90 [00:11<00:52,  1.41it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.900:  18%|█▊        | 16/90 [00:11<00:54,  1.37it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.900:  19%|█▉        | 17/90 [00:11<00:50,  1.45it/s]
Epoch 11, validation pixAcc: 0.974, mIoU: 0.896:  19%|█▉        | 17/90 [00:12<00:52,  1.40it/s]
Epoch 11, validation pixAcc: 0.974, mIoU: 0.896:  20%|██        | 18/90 [00:12<00:48,  1.48it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.891:  20%|██        | 18/90 [00:12<00:50,  1.43it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.891:  21%|██        | 19/90 [00:12<00:47,  1.51it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.889:  21%|██        | 19/90 [00:12<00:48,  1.46it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.889:  22%|██▏       | 20/90 [00:12<00:45,  1.54it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.890:  22%|██▏       | 20/90 [00:13<00:46,  1.49it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.890:  23%|██▎       | 21/90 [00:13<00:44,  1.57it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.890:  23%|██▎       | 21/90 [00:13<00:45,  1.52it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.890:  24%|██▍       | 22/90 [00:13<00:42,  1.59it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.890:  24%|██▍       | 22/90 [00:14<00:44,  1.54it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.890:  26%|██▌       | 23/90 [00:14<00:41,  1.61it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.889:  26%|██▌       | 23/90 [00:14<00:42,  1.56it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.889:  27%|██▋       | 24/90 [00:14<00:40,  1.63it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.890:  27%|██▋       | 24/90 [00:15<00:41,  1.58it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.890:  28%|██▊       | 25/90 [00:15<00:39,  1.65it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.890:  28%|██▊       | 25/90 [00:15<00:40,  1.60it/s]
Epoch 11, validation pixAcc: 0.973, mIoU: 0.890:  29%|██▉       | 26/90 [00:15<00:38,  1.67it/s]
Epoch 11, validation pixAcc: 0.974, mIoU: 0.895:  29%|██▉       | 26/90 [00:16<00:39,  1.62it/s]
Epoch 11, validation pixAcc: 0.974, mIoU: 0.895:  30%|███       | 27/90 [00:16<00:37,  1.69it/s]
Epoch 11, validation pixAcc: 0.974, mIoU: 0.896:  30%|███       | 27/90 [00:16<00:38,  1.64it/s]
Epoch 11, validation pixAcc: 0.974, mIoU: 0.896:  31%|███       | 28/90 [00:16<00:36,  1.70it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.895:  31%|███       | 28/90 [00:16<00:37,  1.66it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.895:  32%|███▏      | 29/90 [00:16<00:35,  1.72it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.897:  32%|███▏      | 29/90 [00:17<00:36,  1.67it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.897:  33%|███▎      | 30/90 [00:17<00:34,  1.73it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.899:  33%|███▎      | 30/90 [00:17<00:35,  1.69it/s]
Epoch 11, validation pixAcc: 0.975, mIoU: 0.899:  34%|███▍      | 31/90 [00:17<00:33,  1.74it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.900:  34%|███▍      | 31/90 [00:18<00:34,  1.70it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.900:  36%|███▌      | 32/90 [00:18<00:33,  1.75it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.901:  36%|███▌      | 32/90 [00:18<00:33,  1.71it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.901:  37%|███▋      | 33/90 [00:18<00:32,  1.77it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.902:  37%|███▋      | 33/90 [00:19<00:32,  1.73it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.902:  38%|███▊      | 34/90 [00:19<00:31,  1.78it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.902:  38%|███▊      | 34/90 [00:19<00:32,  1.74it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.902:  39%|███▉      | 35/90 [00:19<00:30,  1.79it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.902:  39%|███▉      | 35/90 [00:19<00:31,  1.76it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.902:  40%|████      | 36/90 [00:19<00:29,  1.81it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.903:  40%|████      | 36/90 [00:20<00:30,  1.77it/s]
Epoch 11, validation pixAcc: 0.976, mIoU: 0.903:  41%|████      | 37/90 [00:20<00:29,  1.82it/s]
Epoch 11, validation pixAcc: 0.977, mIoU: 0.903:  41%|████      | 37/90 [00:20<00:29,  1.78it/s]
Epoch 11, validation pixAcc: 0.977, mIoU: 0.903:  42%|████▏     | 38/90 [00:20<00:28,  1.83it/s]
Epoch 11, validation pixAcc: 0.977, mIoU: 0.904:  42%|████▏     | 38/90 [00:21<00:29,  1.79it/s]
Epoch 11, validation pixAcc: 0.977, mIoU: 0.904:  43%|████▎     | 39/90 [00:21<00:27,  1.84it/s]
Epoch 11, validation pixAcc: 0.977, mIoU: 0.904:  43%|████▎     | 39/90 [00:21<00:28,  1.80it/s]
Epoch 11, validation pixAcc: 0.977, mIoU: 0.904:  44%|████▍     | 40/90 [00:21<00:27,  1.84it/s]
Epoch 11, validation pixAcc: 0.977, mIoU: 0.904:  44%|████▍     | 40/90 [00:22<00:27,  1.81it/s]
Epoch 11, validation pixAcc: 0.977, mIoU: 0.904:  46%|████▌     | 41/90 [00:22<00:26,  1.85it/s]
Epoch 11, validation pixAcc: 0.977, mIoU: 0.904:  46%|████▌     | 41/90 [00:22<00:26,  1.82it/s]
Epoch 11, validation pixAcc: 0.977, mIoU: 0.904:  47%|████▋     | 42/90 [00:22<00:25,  1.86it/s]
Epoch 11, validation pixAcc: 0.977, mIoU: 0.905:  47%|████▋     | 42/90 [00:23<00:26,  1.83it/s]
Epoch 11, validation pixAcc: 0.977, mIoU: 0.905:  48%|████▊     | 43/90 [00:23<00:25,  1.87it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.906:  48%|████▊     | 43/90 [00:23<00:25,  1.84it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.906:  49%|████▉     | 44/90 [00:23<00:24,  1.88it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.906:  49%|████▉     | 44/90 [00:23<00:24,  1.84it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.906:  50%|█████     | 45/90 [00:23<00:23,  1.88it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.907:  50%|█████     | 45/90 [00:24<00:24,  1.85it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.907:  51%|█████     | 46/90 [00:24<00:23,  1.89it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.907:  51%|█████     | 46/90 [00:24<00:23,  1.85it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.907:  52%|█████▏    | 47/90 [00:24<00:22,  1.90it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.907:  52%|█████▏    | 47/90 [00:25<00:23,  1.86it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.907:  53%|█████▎    | 48/90 [00:25<00:22,  1.90it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.906:  53%|█████▎    | 48/90 [00:25<00:22,  1.87it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.906:  54%|█████▍    | 49/90 [00:25<00:21,  1.91it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.907:  54%|█████▍    | 49/90 [00:26<00:21,  1.87it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.907:  56%|█████▌    | 50/90 [00:26<00:20,  1.91it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.908:  56%|█████▌    | 50/90 [00:26<00:21,  1.88it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.908:  57%|█████▋    | 51/90 [00:26<00:20,  1.92it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.908:  57%|█████▋    | 51/90 [00:27<00:20,  1.89it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.908:  58%|█████▊    | 52/90 [00:27<00:19,  1.92it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.907:  58%|█████▊    | 52/90 [00:27<00:20,  1.89it/s]
Epoch 11, validation pixAcc: 0.978, mIoU: 0.907:  59%|█████▉    | 53/90 [00:27<00:19,  1.93it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.908:  59%|█████▉    | 53/90 [00:27<00:19,  1.90it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.908:  60%|██████    | 54/90 [00:27<00:18,  1.93it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.908:  60%|██████    | 54/90 [00:28<00:18,  1.90it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.908:  61%|██████    | 55/90 [00:28<00:18,  1.94it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.909:  61%|██████    | 55/90 [00:28<00:18,  1.91it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.909:  62%|██████▏   | 56/90 [00:28<00:17,  1.95it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.909:  62%|██████▏   | 56/90 [00:29<00:17,  1.92it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.909:  63%|██████▎   | 57/90 [00:29<00:16,  1.96it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.909:  63%|██████▎   | 57/90 [00:29<00:17,  1.93it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.909:  64%|██████▍   | 58/90 [00:29<00:16,  1.96it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.909:  64%|██████▍   | 58/90 [00:29<00:16,  1.94it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.909:  66%|██████▌   | 59/90 [00:29<00:15,  1.97it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.909:  66%|██████▌   | 59/90 [00:30<00:15,  1.94it/s]
Epoch 11, validation pixAcc: 0.979, mIoU: 0.909:  67%|██████▋   | 60/90 [00:30<00:15,  1.97it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.910:  67%|██████▋   | 60/90 [00:30<00:15,  1.95it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.910:  68%|██████▊   | 61/90 [00:30<00:14,  1.98it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.910:  68%|██████▊   | 61/90 [00:31<00:14,  1.95it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.910:  69%|██████▉   | 62/90 [00:31<00:14,  1.98it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.911:  69%|██████▉   | 62/90 [00:31<00:14,  1.96it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.911:  70%|███████   | 63/90 [00:31<00:13,  1.99it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.912:  70%|███████   | 63/90 [00:32<00:13,  1.96it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.912:  71%|███████   | 64/90 [00:32<00:13,  1.99it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.912:  71%|███████   | 64/90 [00:32<00:13,  1.97it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.912:  72%|███████▏  | 65/90 [00:32<00:12,  2.00it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.912:  72%|███████▏  | 65/90 [00:32<00:12,  1.97it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.912:  73%|███████▎  | 66/90 [00:32<00:11,  2.00it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.912:  73%|███████▎  | 66/90 [00:33<00:12,  1.97it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.912:  74%|███████▍  | 67/90 [00:33<00:11,  2.00it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.912:  74%|███████▍  | 67/90 [00:33<00:11,  1.98it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.912:  76%|███████▌  | 68/90 [00:33<00:10,  2.01it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.912:  76%|███████▌  | 68/90 [00:34<00:11,  1.98it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.912:  77%|███████▋  | 69/90 [00:34<00:10,  2.01it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  77%|███████▋  | 69/90 [00:34<00:10,  1.99it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  78%|███████▊  | 70/90 [00:34<00:09,  2.02it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  78%|███████▊  | 70/90 [00:35<00:10,  1.99it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  79%|███████▉  | 71/90 [00:35<00:09,  2.02it/s]
Epoch 11, validation pixAcc: 0.981, mIoU: 0.913:  79%|███████▉  | 71/90 [00:35<00:09,  2.00it/s]
Epoch 11, validation pixAcc: 0.981, mIoU: 0.913:  80%|████████  | 72/90 [00:35<00:08,  2.02it/s]
Epoch 11, validation pixAcc: 0.981, mIoU: 0.913:  80%|████████  | 72/90 [00:35<00:08,  2.00it/s]
Epoch 11, validation pixAcc: 0.981, mIoU: 0.913:  81%|████████  | 73/90 [00:35<00:08,  2.03it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  81%|████████  | 73/90 [00:36<00:08,  2.01it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  82%|████████▏ | 74/90 [00:36<00:07,  2.03it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  82%|████████▏ | 74/90 [00:36<00:07,  2.01it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  83%|████████▎ | 75/90 [00:36<00:07,  2.04it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  83%|████████▎ | 75/90 [00:37<00:07,  2.01it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  84%|████████▍ | 76/90 [00:37<00:06,  2.04it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  84%|████████▍ | 76/90 [00:37<00:06,  2.02it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  86%|████████▌ | 77/90 [00:37<00:06,  2.04it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  86%|████████▌ | 77/90 [00:38<00:06,  2.02it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  87%|████████▋ | 78/90 [00:38<00:05,  2.05it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  87%|████████▋ | 78/90 [00:38<00:05,  2.02it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.913:  88%|████████▊ | 79/90 [00:38<00:05,  2.05it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.914:  88%|████████▊ | 79/90 [00:38<00:05,  2.03it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.914:  89%|████████▉ | 80/90 [00:38<00:04,  2.05it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.914:  89%|████████▉ | 80/90 [00:39<00:04,  2.03it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.914:  90%|█████████ | 81/90 [00:39<00:04,  2.06it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.915:  90%|█████████ | 81/90 [00:39<00:04,  2.04it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.915:  91%|█████████ | 82/90 [00:39<00:03,  2.06it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.915:  91%|█████████ | 82/90 [00:40<00:03,  2.04it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.915:  92%|█████████▏| 83/90 [00:40<00:03,  2.06it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.915:  92%|█████████▏| 83/90 [00:40<00:03,  2.04it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.915:  93%|█████████▎| 84/90 [00:40<00:02,  2.07it/s]
Epoch 11, validation pixAcc: 0.981, mIoU: 0.915:  93%|█████████▎| 84/90 [00:41<00:02,  2.05it/s]
Epoch 11, validation pixAcc: 0.981, mIoU: 0.915:  94%|█████████▍| 85/90 [00:41<00:02,  2.07it/s]
Epoch 11, validation pixAcc: 0.981, mIoU: 0.915:  94%|█████████▍| 85/90 [00:41<00:02,  2.05it/s]
Epoch 11, validation pixAcc: 0.981, mIoU: 0.915:  96%|█████████▌| 86/90 [00:41<00:01,  2.07it/s]
Epoch 11, validation pixAcc: 0.981, mIoU: 0.915:  96%|█████████▌| 86/90 [00:41<00:01,  2.05it/s]
Epoch 11, validation pixAcc: 0.981, mIoU: 0.915:  97%|█████████▋| 87/90 [00:41<00:01,  2.07it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.915:  97%|█████████▋| 87/90 [00:42<00:01,  2.05it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.915:  98%|█████████▊| 88/90 [00:42<00:00,  2.08it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.914:  98%|█████████▊| 88/90 [00:42<00:00,  2.06it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.914:  99%|█████████▉| 89/90 [00:42<00:00,  2.08it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.914:  99%|█████████▉| 89/90 [00:43<00:00,  2.06it/s]
Epoch 11, validation pixAcc: 0.980, mIoU: 0.914: 100%|██████████| 90/90 [00:43<00:00,  2.08it/s]

  0%|          | 0/182 [00:00<?, ?it/s]
Epoch 12, training loss 0.128:   0%|          | 0/182 [00:05<?, ?it/s]
Epoch 12, training loss 0.128:   1%|          | 1/182 [00:05<17:01,  5.64s/it]
Epoch 12, training loss 0.119:   1%|          | 1/182 [00:06<19:02,  6.31s/it]
Epoch 12, training loss 0.119:   1%|          | 2/182 [00:06<10:14,  3.41s/it]
Epoch 12, training loss 0.112:   1%|          | 2/182 [00:07<11:07,  3.71s/it]
Epoch 12, training loss 0.112:   2%|▏         | 3/182 [00:07<07:52,  2.64s/it]
Epoch 12, training loss 0.099:   2%|▏         | 3/182 [00:08<08:36,  2.89s/it]
Epoch 12, training loss 0.099:   2%|▏         | 4/182 [00:09<06:47,  2.29s/it]
Epoch 12, training loss 0.137:   2%|▏         | 4/182 [00:09<07:19,  2.47s/it]
Epoch 12, training loss 0.137:   3%|▎         | 5/182 [00:10<06:07,  2.08s/it]
Epoch 12, training loss 0.131:   3%|▎         | 5/182 [00:11<06:30,  2.21s/it]
Epoch 12, training loss 0.131:   3%|▎         | 6/182 [00:11<05:38,  1.92s/it]
Epoch 12, training loss 0.115:   3%|▎         | 6/182 [00:12<05:59,  2.04s/it]
Epoch 12, training loss 0.115:   4%|▍         | 7/182 [00:12<05:18,  1.82s/it]
Epoch 12, training loss 0.110:   4%|▍         | 7/182 [00:13<05:34,  1.91s/it]
Epoch 12, training loss 0.110:   4%|▍         | 8/182 [00:13<05:02,  1.74s/it]
Epoch 12, training loss 0.102:   4%|▍         | 8/182 [00:14<05:16,  1.82s/it]
Epoch 12, training loss 0.102:   5%|▍         | 9/182 [00:15<04:49,  1.67s/it]
Epoch 12, training loss 0.096:   5%|▍         | 9/182 [00:15<05:02,  1.75s/it]
Epoch 12, training loss 0.096:   5%|▌         | 10/182 [00:16<04:39,  1.62s/it]
Epoch 12, training loss 0.091:   5%|▌         | 10/182 [00:16<04:50,  1.69s/it]
Epoch 12, training loss 0.091:   6%|▌         | 11/182 [00:17<04:30,  1.58s/it]
Epoch 12, training loss 0.087:   6%|▌         | 11/182 [00:18<04:40,  1.64s/it]
Epoch 12, training loss 0.087:   7%|▋         | 12/182 [00:18<04:22,  1.55s/it]
Epoch 12, training loss 0.086:   7%|▋         | 12/182 [00:19<04:32,  1.60s/it]
Epoch 12, training loss 0.086:   7%|▋         | 13/182 [00:19<04:16,  1.52s/it]
Epoch 12, training loss 0.086:   7%|▋         | 13/182 [00:20<04:24,  1.56s/it]
Epoch 12, training loss 0.086:   8%|▊         | 14/182 [00:20<04:09,  1.49s/it]
Epoch 12, training loss 0.090:   8%|▊         | 14/182 [00:21<04:17,  1.53s/it]
Epoch 12, training loss 0.090:   8%|▊         | 15/182 [00:21<04:04,  1.47s/it]
Epoch 12, training loss 0.089:   8%|▊         | 15/182 [00:22<04:11,  1.51s/it]
Epoch 12, training loss 0.089:   9%|▉         | 16/182 [00:23<03:59,  1.45s/it]
Epoch 12, training loss 0.087:   9%|▉         | 16/182 [00:23<04:06,  1.49s/it]
Epoch 12, training loss 0.087:   9%|▉         | 17/182 [00:24<03:55,  1.43s/it]
Epoch 12, training loss 0.087:   9%|▉         | 17/182 [00:24<04:01,  1.47s/it]
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Epoch 12, training loss 0.084:  12%|█▏        | 21/182 [00:29<03:47,  1.42s/it]
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Epoch 12, training loss 0.082:  12%|█▏        | 22/182 [00:30<03:44,  1.41s/it]
Epoch 12, training loss 0.082:  13%|█▎        | 23/182 [00:31<03:37,  1.37s/it]
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Epoch 12, training loss 0.098:  13%|█▎        | 24/182 [00:33<03:39,  1.39s/it]
Epoch 12, training loss 0.098:  14%|█▎        | 25/182 [00:33<03:32,  1.35s/it]
Epoch 12, training loss 0.102:  14%|█▎        | 25/182 [00:34<03:36,  1.38s/it]
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Epoch 12, training loss 0.102:  15%|█▍        | 27/182 [00:36<03:27,  1.34s/it]
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Epoch 12, training loss 0.104:  18%|█▊        | 32/182 [00:41<03:16,  1.31s/it]
Epoch 12, training loss 0.103:  18%|█▊        | 32/182 [00:42<03:19,  1.33s/it]
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Epoch 12, training loss 0.109:  18%|█▊        | 33/182 [00:43<03:17,  1.33s/it]
Epoch 12, training loss 0.109:  19%|█▊        | 34/182 [00:44<03:12,  1.30s/it]
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Epoch 12, training loss 0.114:  21%|██▏       | 39/182 [00:50<03:06,  1.30s/it]
Epoch 12, training loss 0.114:  22%|██▏       | 40/182 [00:51<03:02,  1.28s/it]
Epoch 12, training loss 0.113:  22%|██▏       | 40/182 [00:51<03:04,  1.30s/it]
Epoch 12, training loss 0.113:  23%|██▎       | 41/182 [00:52<03:00,  1.28s/it]
Epoch 12, training loss 0.116:  23%|██▎       | 41/182 [00:53<03:02,  1.30s/it]
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Epoch 12, training loss 0.119:  23%|██▎       | 42/182 [00:54<03:01,  1.29s/it]
Epoch 12, training loss 0.119:  24%|██▎       | 43/182 [00:54<02:57,  1.28s/it]
Epoch 12, training loss 0.124:  24%|██▎       | 43/182 [00:55<02:59,  1.29s/it]
Epoch 12, training loss 0.124:  24%|██▍       | 44/182 [00:55<02:55,  1.27s/it]
Epoch 12, training loss 0.125:  24%|██▍       | 44/182 [00:56<02:57,  1.29s/it]
Epoch 12, training loss 0.125:  25%|██▍       | 45/182 [00:57<02:53,  1.27s/it]
Epoch 12, training loss 0.123:  25%|██▍       | 45/182 [00:57<02:55,  1.28s/it]
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Epoch 12, training loss 0.122:  25%|██▌       | 46/182 [00:59<02:54,  1.28s/it]
Epoch 12, training loss 0.122:  26%|██▌       | 47/182 [00:59<02:50,  1.27s/it]
Epoch 12, training loss 0.121:  26%|██▌       | 47/182 [01:00<02:52,  1.28s/it]
Epoch 12, training loss 0.121:  26%|██▋       | 48/182 [01:00<02:49,  1.26s/it]
Epoch 12, training loss 0.120:  26%|██▋       | 48/182 [01:01<02:51,  1.28s/it]
Epoch 12, training loss 0.120:  27%|██▋       | 49/182 [01:01<02:47,  1.26s/it]
Epoch 12, training loss 0.122:  27%|██▋       | 49/182 [01:02<02:49,  1.27s/it]
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Epoch 12, training loss 0.121:  28%|██▊       | 51/182 [01:04<02:44,  1.26s/it]
Epoch 12, training loss 0.121:  28%|██▊       | 51/182 [01:04<02:46,  1.27s/it]
Epoch 12, training loss 0.121:  29%|██▊       | 52/182 [01:05<02:43,  1.25s/it]
Epoch 12, training loss 0.122:  29%|██▊       | 52/182 [01:05<02:44,  1.27s/it]
Epoch 12, training loss 0.122:  29%|██▉       | 53/182 [01:06<02:41,  1.25s/it]
Epoch 12, training loss 0.122:  29%|██▉       | 53/182 [01:07<02:43,  1.26s/it]
Epoch 12, training loss 0.122:  30%|██▉       | 54/182 [01:07<02:40,  1.25s/it]
Epoch 12, training loss 0.154:  30%|██▉       | 54/182 [01:08<02:41,  1.26s/it]
Epoch 12, training loss 0.154:  30%|███       | 55/182 [01:08<02:38,  1.25s/it]
Epoch 12, training loss 0.152:  30%|███       | 55/182 [01:09<02:40,  1.26s/it]
Epoch 12, training loss 0.152:  31%|███       | 56/182 [01:09<02:37,  1.25s/it]
Epoch 12, training loss 0.150:  31%|███       | 56/182 [01:10<02:38,  1.26s/it]
Epoch 12, training loss 0.150:  31%|███▏      | 57/182 [01:11<02:35,  1.25s/it]
Epoch 12, training loss 0.172:  31%|███▏      | 57/182 [01:11<02:37,  1.26s/it]
Epoch 12, training loss 0.172:  32%|███▏      | 58/182 [01:12<02:34,  1.24s/it]
Epoch 12, training loss 0.174:  32%|███▏      | 58/182 [01:12<02:35,  1.26s/it]
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Epoch 12, training loss 0.172:  32%|███▏      | 59/182 [01:14<02:34,  1.26s/it]
Epoch 12, training loss 0.172:  33%|███▎      | 60/182 [01:14<02:31,  1.24s/it]
Epoch 12, training loss 0.173:  33%|███▎      | 60/182 [01:15<02:33,  1.25s/it]
Epoch 12, training loss 0.173:  34%|███▎      | 61/182 [01:15<02:30,  1.24s/it]
Epoch 12, training loss 0.175:  34%|███▎      | 61/182 [01:16<02:31,  1.25s/it]
Epoch 12, training loss 0.175:  34%|███▍      | 62/182 [01:16<02:28,  1.24s/it]
Epoch 12, training loss 0.174:  34%|███▍      | 62/182 [01:17<02:30,  1.25s/it]
Epoch 12, training loss 0.174:  35%|███▍      | 63/182 [01:18<02:27,  1.24s/it]
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Epoch 12, training loss 0.173:  35%|███▌      | 64/182 [01:19<02:26,  1.24s/it]
Epoch 12, training loss 0.171:  35%|███▌      | 64/182 [01:20<02:27,  1.25s/it]
Epoch 12, training loss 0.171:  36%|███▌      | 65/182 [01:20<02:25,  1.24s/it]
Epoch 12, training loss 0.171:  36%|███▌      | 65/182 [01:21<02:26,  1.25s/it]
Epoch 12, training loss 0.171:  36%|███▋      | 66/182 [01:21<02:23,  1.24s/it]
Epoch 12, training loss 0.183:  36%|███▋      | 66/182 [01:22<02:24,  1.25s/it]
Epoch 12, training loss 0.183:  37%|███▋      | 67/182 [01:22<02:22,  1.24s/it]
Epoch 12, training loss 0.182:  37%|███▋      | 67/182 [01:23<02:23,  1.25s/it]
Epoch 12, training loss 0.182:  37%|███▋      | 68/182 [01:24<02:20,  1.24s/it]
Epoch 12, training loss 0.180:  37%|███▋      | 68/182 [01:24<02:22,  1.25s/it]
Epoch 12, training loss 0.180:  38%|███▊      | 69/182 [01:25<02:19,  1.24s/it]
Epoch 12, training loss 0.179:  38%|███▊      | 69/182 [01:25<02:20,  1.24s/it]
Epoch 12, training loss 0.179:  38%|███▊      | 70/182 [01:26<02:18,  1.23s/it]
Epoch 12, training loss 0.177:  38%|███▊      | 70/182 [01:27<02:19,  1.24s/it]
Epoch 12, training loss 0.177:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 12, training loss 0.176:  39%|███▉      | 71/182 [01:28<02:17,  1.24s/it]
Epoch 12, training loss 0.176:  40%|███▉      | 72/182 [01:28<02:15,  1.23s/it]
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Epoch 12, training loss 0.175:  40%|████      | 73/182 [01:30<02:15,  1.24s/it]
Epoch 12, training loss 0.175:  41%|████      | 74/182 [01:30<02:12,  1.23s/it]
Epoch 12, training loss 0.173:  41%|████      | 74/182 [01:31<02:13,  1.24s/it]
Epoch 12, training loss 0.173:  41%|████      | 75/182 [01:32<02:11,  1.23s/it]
Epoch 12, training loss 0.173:  41%|████      | 75/182 [01:32<02:12,  1.24s/it]
Epoch 12, training loss 0.173:  42%|████▏     | 76/182 [01:33<02:10,  1.23s/it]
Epoch 12, training loss 0.171:  42%|████▏     | 76/182 [01:34<02:11,  1.24s/it]
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Epoch 12, training loss 0.170:  42%|████▏     | 77/182 [01:35<02:09,  1.24s/it]
Epoch 12, training loss 0.170:  43%|████▎     | 78/182 [01:35<02:07,  1.23s/it]
Epoch 12, training loss 0.169:  43%|████▎     | 78/182 [01:36<02:08,  1.24s/it]
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Epoch 12, training loss 0.167:  43%|████▎     | 79/182 [01:37<02:07,  1.24s/it]
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Epoch 12, training loss 0.166:  44%|████▍     | 80/182 [01:38<02:05,  1.23s/it]
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Epoch 12, training loss 0.165:  45%|████▌     | 82/182 [01:40<02:02,  1.23s/it]
Epoch 12, training loss 0.163:  45%|████▌     | 82/182 [01:41<02:03,  1.23s/it]
Epoch 12, training loss 0.163:  46%|████▌     | 83/182 [01:41<02:01,  1.22s/it]
Epoch 12, training loss 0.164:  46%|████▌     | 83/182 [01:42<02:01,  1.23s/it]
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Epoch 12, training loss 0.161:  47%|████▋     | 85/182 [01:44<01:59,  1.23s/it]
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Epoch 12, training loss 0.162:  47%|████▋     | 86/182 [01:45<01:57,  1.23s/it]
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Epoch 12, training loss 0.160:  49%|████▉     | 89/182 [01:49<01:54,  1.23s/it]
Epoch 12, training loss 0.160:  49%|████▉     | 90/182 [01:49<01:52,  1.22s/it]
Epoch 12, training loss 0.169:  49%|████▉     | 90/182 [01:50<01:52,  1.23s/it]
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Epoch 12, training loss 0.168:  50%|█████     | 91/182 [01:51<01:51,  1.23s/it]
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Epoch 12, training loss 0.170:  52%|█████▏    | 94/182 [01:55<01:47,  1.23s/it]
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Epoch 12, training loss 0.169:  52%|█████▏    | 95/182 [01:56<01:46,  1.22s/it]
Epoch 12, training loss 0.169:  53%|█████▎    | 96/182 [01:56<01:44,  1.22s/it]
Epoch 12, training loss 0.173:  53%|█████▎    | 96/182 [01:57<01:45,  1.22s/it]
Epoch 12, training loss 0.173:  53%|█████▎    | 97/182 [01:58<01:43,  1.22s/it]
Epoch 12, training loss 0.175:  53%|█████▎    | 97/182 [01:58<01:43,  1.22s/it]
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Epoch 12, training loss 0.179:  54%|█████▍    | 98/182 [01:59<01:42,  1.22s/it]
Epoch 12, training loss 0.179:  54%|█████▍    | 99/182 [02:00<01:40,  1.22s/it]
Epoch 12, training loss 0.179:  54%|█████▍    | 99/182 [02:00<01:41,  1.22s/it]
Epoch 12, training loss 0.179:  55%|█████▍    | 100/182 [02:01<01:39,  1.21s/it]
Epoch 12, training loss 0.178:  55%|█████▍    | 100/182 [02:02<01:40,  1.22s/it]
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Epoch 12, training loss 0.177:  55%|█████▌    | 101/182 [02:03<01:38,  1.22s/it]
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Epoch 12, training loss 0.176:  56%|█████▌    | 102/182 [02:04<01:37,  1.22s/it]
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Epoch 12, training loss 0.176:  57%|█████▋    | 103/182 [02:05<01:36,  1.22s/it]
Epoch 12, training loss 0.176:  57%|█████▋    | 104/182 [02:06<01:34,  1.21s/it]
Epoch 12, training loss 0.175:  57%|█████▋    | 104/182 [02:06<01:34,  1.22s/it]
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Epoch 12, training loss 0.173:  58%|█████▊    | 105/182 [02:07<01:33,  1.22s/it]
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Epoch 12, training loss 0.172:  58%|█████▊    | 106/182 [02:08<01:32,  1.22s/it]
Epoch 12, training loss 0.172:  59%|█████▉    | 107/182 [02:09<01:30,  1.21s/it]
Epoch 12, training loss 0.172:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 12, training loss 0.172:  59%|█████▉    | 108/182 [02:10<01:29,  1.21s/it]
Epoch 12, training loss 0.171:  59%|█████▉    | 108/182 [02:11<01:29,  1.21s/it]
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Epoch 12, training loss 0.170:  60%|█████▉    | 109/182 [02:12<01:28,  1.21s/it]
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Epoch 12, training loss 0.170:  61%|██████    | 111/182 [02:14<01:25,  1.21s/it]
Epoch 12, training loss 0.169:  61%|██████    | 111/182 [02:14<01:26,  1.21s/it]
Epoch 12, training loss 0.169:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 12, training loss 0.168:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 12, training loss 0.168:  62%|██████▏   | 113/182 [02:16<01:23,  1.21s/it]
Epoch 12, training loss 0.176:  62%|██████▏   | 113/182 [02:16<01:23,  1.21s/it]
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Epoch 12, training loss 0.175:  63%|██████▎   | 114/182 [02:18<01:22,  1.21s/it]
Epoch 12, training loss 0.175:  63%|██████▎   | 115/182 [02:18<01:20,  1.21s/it]
Epoch 12, training loss 0.178:  63%|██████▎   | 115/182 [02:19<01:21,  1.21s/it]
Epoch 12, training loss 0.178:  64%|██████▎   | 116/182 [02:19<01:19,  1.21s/it]
Epoch 12, training loss 0.177:  64%|██████▎   | 116/182 [02:20<01:19,  1.21s/it]
Epoch 12, training loss 0.177:  64%|██████▍   | 117/182 [02:20<01:18,  1.20s/it]
Epoch 12, training loss 0.177:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 12, training loss 0.177:  65%|██████▍   | 118/182 [02:22<01:17,  1.20s/it]
Epoch 12, training loss 0.176:  65%|██████▍   | 118/182 [02:22<01:17,  1.21s/it]
Epoch 12, training loss 0.176:  65%|██████▌   | 119/182 [02:23<01:15,  1.20s/it]
Epoch 12, training loss 0.176:  65%|██████▌   | 119/182 [02:23<01:16,  1.21s/it]
Epoch 12, training loss 0.176:  66%|██████▌   | 120/182 [02:24<01:14,  1.20s/it]
Epoch 12, training loss 0.175:  66%|██████▌   | 120/182 [02:24<01:14,  1.21s/it]
Epoch 12, training loss 0.175:  66%|██████▋   | 121/182 [02:25<01:13,  1.20s/it]
Epoch 12, training loss 0.174:  66%|██████▋   | 121/182 [02:26<01:13,  1.21s/it]
Epoch 12, training loss 0.174:  67%|██████▋   | 122/182 [02:26<01:12,  1.20s/it]
Epoch 12, training loss 0.174:  67%|██████▋   | 122/182 [02:27<01:12,  1.21s/it]
Epoch 12, training loss 0.174:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 12, training loss 0.173:  68%|██████▊   | 123/182 [02:28<01:11,  1.21s/it]
Epoch 12, training loss 0.173:  68%|██████▊   | 124/182 [02:28<01:09,  1.20s/it]
Epoch 12, training loss 0.173:  68%|██████▊   | 124/182 [02:29<01:09,  1.20s/it]
Epoch 12, training loss 0.173:  69%|██████▊   | 125/182 [02:29<01:08,  1.20s/it]
Epoch 12, training loss 0.172:  69%|██████▊   | 125/182 [02:30<01:08,  1.20s/it]
Epoch 12, training loss 0.172:  69%|██████▉   | 126/182 [02:30<01:07,  1.20s/it]
Epoch 12, training loss 0.171:  69%|██████▉   | 126/182 [02:31<01:07,  1.20s/it]
Epoch 12, training loss 0.171:  70%|██████▉   | 127/182 [02:32<01:05,  1.20s/it]
Epoch 12, training loss 0.170:  70%|██████▉   | 127/182 [02:32<01:06,  1.20s/it]
Epoch 12, training loss 0.170:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 12, training loss 0.170:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 12, training loss 0.170:  71%|███████   | 129/182 [02:34<01:03,  1.20s/it]
Epoch 12, training loss 0.169:  71%|███████   | 129/182 [02:34<01:03,  1.20s/it]
Epoch 12, training loss 0.169:  71%|███████▏  | 130/182 [02:35<01:02,  1.20s/it]
Epoch 12, training loss 0.169:  71%|███████▏  | 130/182 [02:36<01:02,  1.20s/it]
Epoch 12, training loss 0.169:  72%|███████▏  | 131/182 [02:36<01:00,  1.20s/it]
Epoch 12, training loss 0.169:  72%|███████▏  | 131/182 [02:37<01:01,  1.20s/it]
Epoch 12, training loss 0.169:  73%|███████▎  | 132/182 [02:37<00:59,  1.19s/it]
Epoch 12, training loss 0.168:  73%|███████▎  | 132/182 [02:38<00:59,  1.20s/it]
Epoch 12, training loss 0.168:  73%|███████▎  | 133/182 [02:38<00:58,  1.19s/it]
Epoch 12, training loss 0.167:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 12, training loss 0.167:  74%|███████▎  | 134/182 [02:39<00:57,  1.19s/it]
Epoch 12, training loss 0.167:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
Epoch 12, training loss 0.167:  74%|███████▍  | 135/182 [02:41<00:56,  1.19s/it]
Epoch 12, training loss 0.167:  74%|███████▍  | 135/182 [02:41<00:56,  1.20s/it]
Epoch 12, training loss 0.167:  75%|███████▍  | 136/182 [02:42<00:54,  1.19s/it]
Epoch 12, training loss 0.167:  75%|███████▍  | 136/182 [02:42<00:55,  1.20s/it]
Epoch 12, training loss 0.167:  75%|███████▌  | 137/182 [02:43<00:53,  1.19s/it]
Epoch 12, training loss 0.166:  75%|███████▌  | 137/182 [02:44<00:53,  1.20s/it]
Epoch 12, training loss 0.166:  76%|███████▌  | 138/182 [02:44<00:52,  1.19s/it]
Epoch 12, training loss 0.165:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 12, training loss 0.165:  76%|███████▋  | 139/182 [02:45<00:51,  1.19s/it]
Epoch 12, training loss 0.165:  76%|███████▋  | 139/182 [02:46<00:51,  1.20s/it]
Epoch 12, training loss 0.165:  77%|███████▋  | 140/182 [02:46<00:50,  1.19s/it]
Epoch 12, training loss 0.166:  77%|███████▋  | 140/182 [02:47<00:50,  1.20s/it]
Epoch 12, training loss 0.166:  77%|███████▋  | 141/182 [02:48<00:48,  1.19s/it]
Epoch 12, training loss 0.167:  77%|███████▋  | 141/182 [02:48<00:49,  1.20s/it]
Epoch 12, training loss 0.167:  78%|███████▊  | 142/182 [02:49<00:47,  1.19s/it]
Epoch 12, training loss 0.166:  78%|███████▊  | 142/182 [02:49<00:47,  1.20s/it]
Epoch 12, training loss 0.166:  79%|███████▊  | 143/182 [02:50<00:46,  1.19s/it]
Epoch 12, training loss 0.166:  79%|███████▊  | 143/182 [02:50<00:46,  1.19s/it]
Epoch 12, training loss 0.166:  79%|███████▉  | 144/182 [02:51<00:45,  1.19s/it]
Epoch 12, training loss 0.165:  79%|███████▉  | 144/182 [02:51<00:45,  1.19s/it]
Epoch 12, training loss 0.165:  80%|███████▉  | 145/182 [02:52<00:44,  1.19s/it]
Epoch 12, training loss 0.166:  80%|███████▉  | 145/182 [02:53<00:44,  1.19s/it]
Epoch 12, training loss 0.166:  80%|████████  | 146/182 [02:53<00:42,  1.19s/it]
Epoch 12, training loss 0.165:  80%|████████  | 146/182 [02:54<00:42,  1.19s/it]
Epoch 12, training loss 0.165:  81%|████████  | 147/182 [02:54<00:41,  1.19s/it]
Epoch 12, training loss 0.165:  81%|████████  | 147/182 [02:55<00:41,  1.19s/it]
Epoch 12, training loss 0.165:  81%|████████▏ | 148/182 [02:55<00:40,  1.19s/it]
Epoch 12, training loss 0.164:  81%|████████▏ | 148/182 [02:56<00:40,  1.19s/it]
Epoch 12, training loss 0.164:  82%|████████▏ | 149/182 [02:57<00:39,  1.19s/it]
Epoch 12, training loss 0.163:  82%|████████▏ | 149/182 [02:57<00:39,  1.19s/it]
Epoch 12, training loss 0.163:  82%|████████▏ | 150/182 [02:58<00:38,  1.19s/it]
Epoch 12, training loss 0.163:  82%|████████▏ | 150/182 [02:58<00:38,  1.19s/it]
Epoch 12, training loss 0.163:  83%|████████▎ | 151/182 [02:59<00:36,  1.19s/it]
Epoch 12, training loss 0.167:  83%|████████▎ | 151/182 [02:59<00:36,  1.19s/it]
Epoch 12, training loss 0.167:  84%|████████▎ | 152/182 [03:00<00:35,  1.19s/it]
Epoch 12, training loss 0.166:  84%|████████▎ | 152/182 [03:01<00:35,  1.19s/it]
Epoch 12, training loss 0.166:  84%|████████▍ | 153/182 [03:01<00:34,  1.19s/it]
Epoch 12, training loss 0.168:  84%|████████▍ | 153/182 [03:02<00:34,  1.19s/it]
Epoch 12, training loss 0.168:  85%|████████▍ | 154/182 [03:02<00:33,  1.19s/it]
Epoch 12, training loss 0.170:  85%|████████▍ | 154/182 [03:03<00:33,  1.19s/it]
Epoch 12, training loss 0.170:  85%|████████▌ | 155/182 [03:03<00:32,  1.19s/it]
Epoch 12, training loss 0.171:  85%|████████▌ | 155/182 [03:04<00:32,  1.19s/it]
Epoch 12, training loss 0.171:  86%|████████▌ | 156/182 [03:04<00:30,  1.19s/it]
Epoch 12, training loss 0.170:  86%|████████▌ | 156/182 [03:05<00:30,  1.19s/it]
Epoch 12, training loss 0.170:  86%|████████▋ | 157/182 [03:06<00:29,  1.19s/it]
Epoch 12, training loss 0.170:  86%|████████▋ | 157/182 [03:06<00:29,  1.19s/it]
Epoch 12, training loss 0.170:  87%|████████▋ | 158/182 [03:07<00:28,  1.19s/it]
Epoch 12, training loss 0.169:  87%|████████▋ | 158/182 [03:07<00:28,  1.19s/it]
Epoch 12, training loss 0.169:  87%|████████▋ | 159/182 [03:08<00:27,  1.18s/it]
Epoch 12, training loss 0.169:  87%|████████▋ | 159/182 [03:09<00:27,  1.19s/it]
Epoch 12, training loss 0.169:  88%|████████▊ | 160/182 [03:09<00:26,  1.18s/it]
Epoch 12, training loss 0.168:  88%|████████▊ | 160/182 [03:10<00:26,  1.19s/it]
Epoch 12, training loss 0.168:  88%|████████▊ | 161/182 [03:10<00:24,  1.18s/it]
Epoch 12, training loss 0.168:  88%|████████▊ | 161/182 [03:11<00:24,  1.19s/it]
Epoch 12, training loss 0.168:  89%|████████▉ | 162/182 [03:11<00:23,  1.18s/it]
Epoch 12, training loss 0.168:  89%|████████▉ | 162/182 [03:12<00:23,  1.19s/it]
Epoch 12, training loss 0.168:  90%|████████▉ | 163/182 [03:12<00:22,  1.18s/it]
Epoch 12, training loss 0.167:  90%|████████▉ | 163/182 [03:13<00:22,  1.19s/it]
Epoch 12, training loss 0.167:  90%|█████████ | 164/182 [03:13<00:21,  1.18s/it]
Epoch 12, training loss 0.167:  90%|█████████ | 164/182 [03:14<00:21,  1.19s/it]
Epoch 12, training loss 0.167:  91%|█████████ | 165/182 [03:15<00:20,  1.18s/it]
Epoch 12, training loss 0.167:  91%|█████████ | 165/182 [03:15<00:20,  1.19s/it]
Epoch 12, training loss 0.167:  91%|█████████ | 166/182 [03:16<00:18,  1.18s/it]
Epoch 12, training loss 0.167:  91%|█████████ | 166/182 [03:16<00:18,  1.19s/it]
Epoch 12, training loss 0.167:  92%|█████████▏| 167/182 [03:17<00:17,  1.18s/it]
Epoch 12, training loss 0.167:  92%|█████████▏| 167/182 [03:17<00:17,  1.18s/it]
Epoch 12, training loss 0.167:  92%|█████████▏| 168/182 [03:18<00:16,  1.18s/it]
Epoch 12, training loss 0.166:  92%|█████████▏| 168/182 [03:19<00:16,  1.18s/it]
Epoch 12, training loss 0.166:  93%|█████████▎| 169/182 [03:19<00:15,  1.18s/it]
Epoch 12, training loss 0.166:  93%|█████████▎| 169/182 [03:20<00:15,  1.18s/it]
Epoch 12, training loss 0.166:  93%|█████████▎| 170/182 [03:20<00:14,  1.18s/it]
Epoch 12, training loss 0.170:  93%|█████████▎| 170/182 [03:21<00:14,  1.18s/it]
Epoch 12, training loss 0.170:  94%|█████████▍| 171/182 [03:21<00:12,  1.18s/it]
Epoch 12, training loss 0.170:  94%|█████████▍| 171/182 [03:22<00:13,  1.18s/it]
Epoch 12, training loss 0.170:  95%|█████████▍| 172/182 [03:23<00:11,  1.18s/it]
Epoch 12, training loss 0.169:  95%|█████████▍| 172/182 [03:23<00:11,  1.18s/it]
Epoch 12, training loss 0.169:  95%|█████████▌| 173/182 [03:24<00:10,  1.18s/it]
Epoch 12, training loss 0.169:  95%|█████████▌| 173/182 [03:24<00:10,  1.18s/it]
Epoch 12, training loss 0.169:  96%|█████████▌| 174/182 [03:25<00:09,  1.18s/it]
Epoch 12, training loss 0.170:  96%|█████████▌| 174/182 [03:25<00:09,  1.18s/it]
Epoch 12, training loss 0.170:  96%|█████████▌| 175/182 [03:26<00:08,  1.18s/it]
Epoch 12, training loss 0.169:  96%|█████████▌| 175/182 [03:26<00:08,  1.18s/it]
Epoch 12, training loss 0.169:  97%|█████████▋| 176/182 [03:27<00:07,  1.18s/it]
Epoch 12, training loss 0.169:  97%|█████████▋| 176/182 [03:28<00:07,  1.18s/it]
Epoch 12, training loss 0.169:  97%|█████████▋| 177/182 [03:28<00:05,  1.18s/it]
Epoch 12, training loss 0.174:  97%|█████████▋| 177/182 [03:29<00:05,  1.18s/it]
Epoch 12, training loss 0.174:  98%|█████████▊| 178/182 [03:29<00:04,  1.18s/it]
Epoch 12, training loss 0.174:  98%|█████████▊| 178/182 [03:30<00:04,  1.18s/it]
Epoch 12, training loss 0.174:  98%|█████████▊| 179/182 [03:30<00:03,  1.18s/it]
Epoch 12, training loss 0.174:  98%|█████████▊| 179/182 [03:31<00:03,  1.18s/it]
Epoch 12, training loss 0.174:  99%|█████████▉| 180/182 [03:31<00:02,  1.18s/it]
Epoch 12, training loss 0.174:  99%|█████████▉| 180/182 [03:32<00:02,  1.18s/it]
Epoch 12, training loss 0.174:  99%|█████████▉| 181/182 [03:33<00:01,  1.18s/it]
Epoch 12, training loss 0.178:  99%|█████████▉| 181/182 [03:33<00:01,  1.18s/it]
Epoch 12, training loss 0.178: 100%|██████████| 182/182 [03:34<00:00,  1.18s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.596:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.596:   1%|          | 1/91 [00:04<06:32,  4.36s/it]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.761:   1%|          | 1/91 [00:04<07:08,  4.77s/it]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.761:   2%|▏         | 2/91 [00:04<03:32,  2.38s/it]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.793:   2%|▏         | 2/91 [00:05<03:51,  2.60s/it]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.793:   3%|▎         | 3/91 [00:05<02:32,  1.73s/it]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.792:   3%|▎         | 3/91 [00:05<02:46,  1.89s/it]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.792:   4%|▍         | 4/91 [00:05<02:03,  1.41s/it]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.886:   4%|▍         | 4/91 [00:06<02:13,  1.53s/it]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.886:   5%|▌         | 5/91 [00:06<01:45,  1.22s/it]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.894:   5%|▌         | 5/91 [00:06<01:53,  1.31s/it]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.894:   7%|▋         | 6/91 [00:06<01:33,  1.10s/it]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.890:   7%|▋         | 6/91 [00:07<01:39,  1.17s/it]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.890:   8%|▊         | 7/91 [00:07<01:24,  1.00s/it]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.887:   8%|▊         | 7/91 [00:07<01:30,  1.07s/it]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.887:   9%|▉         | 8/91 [00:07<01:17,  1.07it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.894:   9%|▉         | 8/91 [00:07<01:22,  1.01it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.894:  10%|▉         | 9/91 [00:07<01:12,  1.13it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.897:  10%|▉         | 9/91 [00:08<01:16,  1.08it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.897:  11%|█         | 10/91 [00:08<01:07,  1.20it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.896:  11%|█         | 10/91 [00:08<01:11,  1.14it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.896:  12%|█▏        | 11/91 [00:08<01:04,  1.25it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.894:  12%|█▏        | 11/91 [00:09<01:07,  1.19it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.894:  13%|█▎        | 12/91 [00:09<01:00,  1.30it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.891:  13%|█▎        | 12/91 [00:09<01:03,  1.24it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.891:  14%|█▍        | 13/91 [00:09<00:58,  1.34it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.900:  14%|█▍        | 13/91 [00:10<01:00,  1.28it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.900:  15%|█▌        | 14/91 [00:10<00:55,  1.38it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.900:  15%|█▌        | 14/91 [00:10<00:58,  1.32it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.900:  16%|█▋        | 15/91 [00:10<00:53,  1.42it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.902:  16%|█▋        | 15/91 [00:11<00:55,  1.36it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.902:  18%|█▊        | 16/91 [00:11<00:51,  1.45it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.903:  18%|█▊        | 16/91 [00:11<00:53,  1.40it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.903:  19%|█▊        | 17/91 [00:11<00:49,  1.48it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.899:  19%|█▊        | 17/91 [00:11<00:51,  1.43it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.899:  20%|█▉        | 18/91 [00:11<00:48,  1.51it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.893:  20%|█▉        | 18/91 [00:12<00:50,  1.46it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.893:  21%|██        | 19/91 [00:12<00:46,  1.54it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.889:  21%|██        | 19/91 [00:12<00:48,  1.49it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.889:  22%|██▏       | 20/91 [00:12<00:45,  1.56it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.890:  22%|██▏       | 20/91 [00:13<00:46,  1.51it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.890:  23%|██▎       | 21/91 [00:13<00:44,  1.59it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.889:  23%|██▎       | 21/91 [00:13<00:45,  1.53it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.889:  24%|██▍       | 22/91 [00:13<00:42,  1.61it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.891:  24%|██▍       | 22/91 [00:14<00:44,  1.56it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.891:  25%|██▌       | 23/91 [00:14<00:41,  1.63it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.891:  25%|██▌       | 23/91 [00:14<00:43,  1.58it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.891:  26%|██▋       | 24/91 [00:14<00:40,  1.65it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.890:  26%|██▋       | 24/91 [00:15<00:42,  1.60it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.890:  27%|██▋       | 25/91 [00:15<00:39,  1.66it/s]
Epoch 12, validation pixAcc: 0.974, mIoU: 0.892:  27%|██▋       | 25/91 [00:15<00:40,  1.61it/s]
Epoch 12, validation pixAcc: 0.974, mIoU: 0.892:  29%|██▊       | 26/91 [00:15<00:38,  1.68it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.892:  29%|██▊       | 26/91 [00:15<00:39,  1.64it/s]
Epoch 12, validation pixAcc: 0.973, mIoU: 0.892:  30%|██▉       | 27/91 [00:15<00:37,  1.70it/s]
Epoch 12, validation pixAcc: 0.974, mIoU: 0.896:  30%|██▉       | 27/91 [00:16<00:38,  1.65it/s]
Epoch 12, validation pixAcc: 0.974, mIoU: 0.896:  31%|███       | 28/91 [00:16<00:36,  1.72it/s]
Epoch 12, validation pixAcc: 0.974, mIoU: 0.895:  31%|███       | 28/91 [00:16<00:37,  1.67it/s]
Epoch 12, validation pixAcc: 0.974, mIoU: 0.895:  32%|███▏      | 29/91 [00:16<00:35,  1.73it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.897:  32%|███▏      | 29/91 [00:17<00:36,  1.68it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.897:  33%|███▎      | 30/91 [00:17<00:35,  1.74it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.899:  33%|███▎      | 30/91 [00:17<00:35,  1.70it/s]
Epoch 12, validation pixAcc: 0.975, mIoU: 0.899:  34%|███▍      | 31/91 [00:17<00:34,  1.75it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.900:  34%|███▍      | 31/91 [00:18<00:35,  1.71it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.900:  35%|███▌      | 32/91 [00:18<00:33,  1.77it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.902:  35%|███▌      | 32/91 [00:18<00:34,  1.72it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.902:  36%|███▋      | 33/91 [00:18<00:32,  1.78it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.903:  36%|███▋      | 33/91 [00:19<00:33,  1.74it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.903:  37%|███▋      | 34/91 [00:19<00:31,  1.79it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.903:  37%|███▋      | 34/91 [00:19<00:32,  1.75it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.903:  38%|███▊      | 35/91 [00:19<00:31,  1.80it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.903:  38%|███▊      | 35/91 [00:19<00:31,  1.76it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.903:  40%|███▉      | 36/91 [00:19<00:30,  1.81it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.903:  40%|███▉      | 36/91 [00:20<00:31,  1.77it/s]
Epoch 12, validation pixAcc: 0.976, mIoU: 0.903:  41%|████      | 37/91 [00:20<00:29,  1.82it/s]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.903:  41%|████      | 37/91 [00:20<00:30,  1.79it/s]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.903:  42%|████▏     | 38/91 [00:20<00:28,  1.84it/s]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.903:  42%|████▏     | 38/91 [00:21<00:29,  1.80it/s]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.903:  43%|████▎     | 39/91 [00:21<00:28,  1.85it/s]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.905:  43%|████▎     | 39/91 [00:21<00:28,  1.82it/s]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.905:  44%|████▍     | 40/91 [00:21<00:27,  1.86it/s]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.905:  44%|████▍     | 40/91 [00:21<00:27,  1.83it/s]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.905:  45%|████▌     | 41/91 [00:21<00:26,  1.87it/s]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.904:  45%|████▌     | 41/91 [00:22<00:27,  1.84it/s]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.904:  46%|████▌     | 42/91 [00:22<00:26,  1.88it/s]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.905:  46%|████▌     | 42/91 [00:22<00:26,  1.85it/s]
Epoch 12, validation pixAcc: 0.977, mIoU: 0.905:  47%|████▋     | 43/91 [00:22<00:25,  1.89it/s]
Epoch 12, validation pixAcc: 0.978, mIoU: 0.906:  47%|████▋     | 43/91 [00:23<00:25,  1.86it/s]
Epoch 12, validation pixAcc: 0.978, mIoU: 0.906:  48%|████▊     | 44/91 [00:23<00:24,  1.90it/s]
Epoch 12, validation pixAcc: 0.978, mIoU: 0.907:  48%|████▊     | 44/91 [00:23<00:25,  1.87it/s]
Epoch 12, validation pixAcc: 0.978, mIoU: 0.907:  49%|████▉     | 45/91 [00:23<00:24,  1.91it/s]
Epoch 12, validation pixAcc: 0.978, mIoU: 0.907:  49%|████▉     | 45/91 [00:24<00:24,  1.87it/s]
Epoch 12, validation pixAcc: 0.978, mIoU: 0.907:  51%|█████     | 46/91 [00:24<00:23,  1.91it/s]
Epoch 12, validation pixAcc: 0.978, mIoU: 0.907:  51%|█████     | 46/91 [00:24<00:23,  1.88it/s]
Epoch 12, validation pixAcc: 0.978, mIoU: 0.907:  52%|█████▏    | 47/91 [00:24<00:22,  1.92it/s]
Epoch 12, validation pixAcc: 0.978, mIoU: 0.907:  52%|█████▏    | 47/91 [00:24<00:23,  1.89it/s]
Epoch 12, validation pixAcc: 0.978, mIoU: 0.907:  53%|█████▎    | 48/91 [00:24<00:22,  1.93it/s]
Epoch 12, validation pixAcc: 0.978, mIoU: 0.907:  53%|█████▎    | 48/91 [00:25<00:22,  1.90it/s]
Epoch 12, validation pixAcc: 0.978, mIoU: 0.907:  54%|█████▍    | 49/91 [00:25<00:21,  1.94it/s]
Epoch 12, validation pixAcc: 0.978, mIoU: 0.907:  54%|█████▍    | 49/91 [00:25<00:22,  1.91it/s]
Epoch 12, validation pixAcc: 0.978, mIoU: 0.907:  55%|█████▍    | 50/91 [00:25<00:21,  1.94it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.908:  55%|█████▍    | 50/91 [00:26<00:21,  1.91it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.908:  56%|█████▌    | 51/91 [00:26<00:20,  1.95it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.909:  56%|█████▌    | 51/91 [00:26<00:20,  1.92it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.909:  57%|█████▋    | 52/91 [00:26<00:19,  1.96it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.909:  57%|█████▋    | 52/91 [00:26<00:20,  1.93it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.909:  58%|█████▊    | 53/91 [00:26<00:19,  1.97it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.908:  58%|█████▊    | 53/91 [00:27<00:19,  1.93it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.908:  59%|█████▉    | 54/91 [00:27<00:18,  1.97it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.908:  59%|█████▉    | 54/91 [00:27<00:19,  1.94it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.908:  60%|██████    | 55/91 [00:27<00:18,  1.97it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.909:  60%|██████    | 55/91 [00:28<00:18,  1.94it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.909:  62%|██████▏   | 56/91 [00:28<00:17,  1.98it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.909:  62%|██████▏   | 56/91 [00:28<00:17,  1.95it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.909:  63%|██████▎   | 57/91 [00:28<00:17,  1.98it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.909:  63%|██████▎   | 57/91 [00:29<00:17,  1.95it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.909:  64%|██████▎   | 58/91 [00:29<00:16,  1.98it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.909:  64%|██████▎   | 58/91 [00:29<00:16,  1.95it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.909:  65%|██████▍   | 59/91 [00:29<00:16,  1.99it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.909:  65%|██████▍   | 59/91 [00:30<00:16,  1.96it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.909:  66%|██████▌   | 60/91 [00:30<00:15,  1.99it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.910:  66%|██████▌   | 60/91 [00:30<00:15,  1.96it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.910:  67%|██████▋   | 61/91 [00:30<00:15,  2.00it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.910:  67%|██████▋   | 61/91 [00:30<00:15,  1.97it/s]
Epoch 12, validation pixAcc: 0.979, mIoU: 0.910:  68%|██████▊   | 62/91 [00:30<00:14,  2.00it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.910:  68%|██████▊   | 62/91 [00:31<00:14,  1.98it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.910:  69%|██████▉   | 63/91 [00:31<00:13,  2.01it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.911:  69%|██████▉   | 63/91 [00:31<00:14,  1.98it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.911:  70%|███████   | 64/91 [00:31<00:13,  2.01it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.912:  70%|███████   | 64/91 [00:32<00:13,  1.99it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.912:  71%|███████▏  | 65/91 [00:32<00:12,  2.02it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.912:  71%|███████▏  | 65/91 [00:32<00:13,  1.99it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.912:  73%|███████▎  | 66/91 [00:32<00:12,  2.02it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.912:  73%|███████▎  | 66/91 [00:33<00:12,  2.00it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.912:  74%|███████▎  | 67/91 [00:33<00:11,  2.03it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.912:  74%|███████▎  | 67/91 [00:33<00:11,  2.00it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.912:  75%|███████▍  | 68/91 [00:33<00:11,  2.03it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.912:  75%|███████▍  | 68/91 [00:33<00:11,  2.01it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.912:  76%|███████▌  | 69/91 [00:33<00:10,  2.04it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  76%|███████▌  | 69/91 [00:34<00:10,  2.01it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  77%|███████▋  | 70/91 [00:34<00:10,  2.04it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  77%|███████▋  | 70/91 [00:34<00:10,  2.01it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  78%|███████▊  | 71/91 [00:34<00:09,  2.04it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  78%|███████▊  | 71/91 [00:35<00:09,  2.02it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  79%|███████▉  | 72/91 [00:35<00:09,  2.04it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  79%|███████▉  | 72/91 [00:35<00:09,  2.02it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  80%|████████  | 73/91 [00:35<00:08,  2.04it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  80%|████████  | 73/91 [00:36<00:08,  2.02it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  81%|████████▏ | 74/91 [00:36<00:08,  2.05it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.914:  81%|████████▏ | 74/91 [00:36<00:08,  2.03it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.914:  82%|████████▏ | 75/91 [00:36<00:07,  2.05it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  82%|████████▏ | 75/91 [00:36<00:07,  2.03it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  84%|████████▎ | 76/91 [00:36<00:07,  2.06it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.914:  84%|████████▎ | 76/91 [00:37<00:07,  2.03it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.914:  85%|████████▍ | 77/91 [00:37<00:06,  2.06it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  85%|████████▍ | 77/91 [00:37<00:06,  2.04it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  86%|████████▌ | 78/91 [00:37<00:06,  2.06it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  86%|████████▌ | 78/91 [00:38<00:06,  2.04it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.913:  87%|████████▋ | 79/91 [00:38<00:05,  2.07it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.914:  87%|████████▋ | 79/91 [00:38<00:05,  2.04it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.914:  88%|████████▊ | 80/91 [00:38<00:05,  2.07it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.915:  88%|████████▊ | 80/91 [00:39<00:05,  2.05it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.915:  89%|████████▉ | 81/91 [00:39<00:04,  2.07it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.915:  89%|████████▉ | 81/91 [00:39<00:04,  2.05it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.915:  90%|█████████ | 82/91 [00:39<00:04,  2.07it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.916:  90%|█████████ | 82/91 [00:39<00:04,  2.05it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.916:  91%|█████████ | 83/91 [00:39<00:03,  2.08it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.916:  91%|█████████ | 83/91 [00:40<00:03,  2.06it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.916:  92%|█████████▏| 84/91 [00:40<00:03,  2.08it/s]
Epoch 12, validation pixAcc: 0.981, mIoU: 0.916:  92%|█████████▏| 84/91 [00:40<00:03,  2.06it/s]
Epoch 12, validation pixAcc: 0.981, mIoU: 0.916:  93%|█████████▎| 85/91 [00:40<00:02,  2.08it/s]
Epoch 12, validation pixAcc: 0.981, mIoU: 0.916:  93%|█████████▎| 85/91 [00:41<00:02,  2.06it/s]
Epoch 12, validation pixAcc: 0.981, mIoU: 0.916:  95%|█████████▍| 86/91 [00:41<00:02,  2.09it/s]
Epoch 12, validation pixAcc: 0.981, mIoU: 0.916:  95%|█████████▍| 86/91 [00:41<00:02,  2.06it/s]
Epoch 12, validation pixAcc: 0.981, mIoU: 0.916:  96%|█████████▌| 87/91 [00:41<00:01,  2.09it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.915:  96%|█████████▌| 87/91 [00:42<00:01,  2.07it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.915:  97%|█████████▋| 88/91 [00:42<00:01,  2.09it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.915:  97%|█████████▋| 88/91 [00:42<00:01,  2.07it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.915:  98%|█████████▊| 89/91 [00:42<00:00,  2.10it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.915:  98%|█████████▊| 89/91 [00:42<00:00,  2.08it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.915:  99%|█████████▉| 90/91 [00:42<00:00,  2.10it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.914:  99%|█████████▉| 90/91 [00:43<00:00,  2.08it/s]
Epoch 12, validation pixAcc: 0.980, mIoU: 0.914: 100%|██████████| 91/91 [00:43<00:00,  2.10it/s]

  0%|          | 0/182 [00:00<?, ?it/s]
Epoch 13, training loss 0.070:   0%|          | 0/182 [00:05<?, ?it/s]
Epoch 13, training loss 0.070:   1%|          | 1/182 [00:05<16:42,  5.54s/it]
Epoch 13, training loss 0.043:   1%|          | 1/182 [00:06<18:49,  6.24s/it]
Epoch 13, training loss 0.043:   1%|          | 2/182 [00:06<10:07,  3.37s/it]
Epoch 13, training loss 0.044:   1%|          | 2/182 [00:07<11:13,  3.74s/it]
Epoch 13, training loss 0.044:   2%|▏         | 3/182 [00:08<07:57,  2.67s/it]
Epoch 13, training loss 0.052:   2%|▏         | 3/182 [00:08<08:38,  2.90s/it]
Epoch 13, training loss 0.052:   2%|▏         | 4/182 [00:09<06:49,  2.30s/it]
Epoch 13, training loss 0.056:   2%|▏         | 4/182 [00:09<07:18,  2.46s/it]
Epoch 13, training loss 0.056:   3%|▎         | 5/182 [00:10<06:06,  2.07s/it]
Epoch 13, training loss 0.056:   3%|▎         | 5/182 [00:11<06:30,  2.20s/it]
Epoch 13, training loss 0.056:   3%|▎         | 6/182 [00:11<05:38,  1.92s/it]
Epoch 13, training loss 0.061:   3%|▎         | 6/182 [00:12<05:58,  2.04s/it]
Epoch 13, training loss 0.061:   4%|▍         | 7/182 [00:12<05:18,  1.82s/it]
Epoch 13, training loss 0.069:   4%|▍         | 7/182 [00:13<05:34,  1.91s/it]
Epoch 13, training loss 0.069:   4%|▍         | 8/182 [00:13<05:02,  1.74s/it]
Epoch 13, training loss 0.067:   4%|▍         | 8/182 [00:14<05:19,  1.83s/it]
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Epoch 13, training loss 0.067:   5%|▌         | 10/182 [00:16<04:41,  1.64s/it]
Epoch 13, training loss 0.102:   5%|▌         | 10/182 [00:17<04:54,  1.71s/it]
Epoch 13, training loss 0.102:   6%|▌         | 11/182 [00:17<04:33,  1.60s/it]
Epoch 13, training loss 0.096:   6%|▌         | 11/182 [00:18<04:45,  1.67s/it]
Epoch 13, training loss 0.096:   7%|▋         | 12/182 [00:18<04:26,  1.57s/it]
Epoch 13, training loss 0.094:   7%|▋         | 12/182 [00:19<04:37,  1.63s/it]
Epoch 13, training loss 0.094:   7%|▋         | 13/182 [00:20<04:20,  1.54s/it]
Epoch 13, training loss 0.092:   7%|▋         | 13/182 [00:20<04:29,  1.60s/it]
Epoch 13, training loss 0.092:   8%|▊         | 14/182 [00:21<04:14,  1.52s/it]
Epoch 13, training loss 0.088:   8%|▊         | 14/182 [00:21<04:23,  1.57s/it]
Epoch 13, training loss 0.088:   8%|▊         | 15/182 [00:22<04:09,  1.49s/it]
Epoch 13, training loss 0.085:   8%|▊         | 15/182 [00:23<04:16,  1.54s/it]
Epoch 13, training loss 0.085:   9%|▉         | 16/182 [00:23<04:04,  1.47s/it]
Epoch 13, training loss 0.103:   9%|▉         | 16/182 [00:24<04:11,  1.52s/it]
Epoch 13, training loss 0.103:   9%|▉         | 17/182 [00:24<04:00,  1.46s/it]
Epoch 13, training loss 0.108:   9%|▉         | 17/182 [00:25<04:06,  1.49s/it]
Epoch 13, training loss 0.108:  10%|▉         | 18/182 [00:25<03:55,  1.44s/it]
Epoch 13, training loss 0.107:  10%|▉         | 18/182 [00:26<04:01,  1.47s/it]
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Epoch 13, training loss 0.109:  10%|█         | 19/182 [00:27<03:57,  1.46s/it]
Epoch 13, training loss 0.109:  11%|█         | 20/182 [00:28<03:48,  1.41s/it]
Epoch 13, training loss 0.110:  11%|█         | 20/182 [00:28<03:53,  1.44s/it]
Epoch 13, training loss 0.110:  12%|█▏        | 21/182 [00:29<03:45,  1.40s/it]
Epoch 13, training loss 0.111:  12%|█▏        | 21/182 [00:30<03:50,  1.43s/it]
Epoch 13, training loss 0.111:  12%|█▏        | 22/182 [00:30<03:42,  1.39s/it]
Epoch 13, training loss 0.108:  12%|█▏        | 22/182 [00:31<03:47,  1.42s/it]
Epoch 13, training loss 0.108:  13%|█▎        | 23/182 [00:31<03:39,  1.38s/it]
Epoch 13, training loss 0.109:  13%|█▎        | 23/182 [00:32<03:43,  1.41s/it]
Epoch 13, training loss 0.109:  13%|█▎        | 24/182 [00:32<03:36,  1.37s/it]
Epoch 13, training loss 0.114:  13%|█▎        | 24/182 [00:33<03:40,  1.40s/it]
Epoch 13, training loss 0.114:  14%|█▎        | 25/182 [00:34<03:33,  1.36s/it]
Epoch 13, training loss 0.112:  14%|█▎        | 25/182 [00:34<03:37,  1.39s/it]
Epoch 13, training loss 0.112:  14%|█▍        | 26/182 [00:35<03:30,  1.35s/it]
Epoch 13, training loss 0.110:  14%|█▍        | 26/182 [00:35<03:35,  1.38s/it]
Epoch 13, training loss 0.110:  15%|█▍        | 27/182 [00:36<03:28,  1.35s/it]
Epoch 13, training loss 0.110:  15%|█▍        | 27/182 [00:36<03:32,  1.37s/it]
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Epoch 13, training loss 0.109:  15%|█▌        | 28/182 [00:38<03:29,  1.36s/it]
Epoch 13, training loss 0.109:  16%|█▌        | 29/182 [00:38<03:23,  1.33s/it]
Epoch 13, training loss 0.111:  16%|█▌        | 29/182 [00:39<03:27,  1.36s/it]
Epoch 13, training loss 0.111:  16%|█▋        | 30/182 [00:39<03:21,  1.33s/it]
Epoch 13, training loss 0.111:  16%|█▋        | 30/182 [00:40<03:25,  1.35s/it]
Epoch 13, training loss 0.111:  17%|█▋        | 31/182 [00:40<03:19,  1.32s/it]
Epoch 13, training loss 0.109:  17%|█▋        | 31/182 [00:41<03:23,  1.35s/it]
Epoch 13, training loss 0.109:  18%|█▊        | 32/182 [00:42<03:17,  1.32s/it]
Epoch 13, training loss 0.107:  18%|█▊        | 32/182 [00:42<03:20,  1.34s/it]
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Epoch 13, training loss 0.107:  18%|█▊        | 33/182 [00:43<03:18,  1.33s/it]
Epoch 13, training loss 0.107:  19%|█▊        | 34/182 [00:44<03:13,  1.31s/it]
Epoch 13, training loss 0.105:  19%|█▊        | 34/182 [00:45<03:16,  1.33s/it]
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Epoch 13, training loss 0.105:  19%|█▉        | 35/182 [00:46<03:14,  1.32s/it]
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Epoch 13, training loss 0.106:  20%|██        | 37/182 [00:48<03:10,  1.32s/it]
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Epoch 13, training loss 0.105:  21%|██        | 38/182 [00:49<03:08,  1.31s/it]
Epoch 13, training loss 0.105:  21%|██▏       | 39/182 [00:50<03:04,  1.29s/it]
Epoch 13, training loss 0.104:  21%|██▏       | 39/182 [00:51<03:07,  1.31s/it]
Epoch 13, training loss 0.104:  22%|██▏       | 40/182 [00:51<03:02,  1.29s/it]
Epoch 13, training loss 0.108:  22%|██▏       | 40/182 [00:52<03:05,  1.31s/it]
Epoch 13, training loss 0.108:  23%|██▎       | 41/182 [00:52<03:01,  1.29s/it]
Epoch 13, training loss 0.110:  23%|██▎       | 41/182 [00:53<03:03,  1.30s/it]
Epoch 13, training loss 0.110:  23%|██▎       | 42/182 [00:53<02:59,  1.28s/it]
Epoch 13, training loss 0.109:  23%|██▎       | 42/182 [00:54<03:01,  1.29s/it]
Epoch 13, training loss 0.109:  24%|██▎       | 43/182 [00:54<02:57,  1.28s/it]
Epoch 13, training loss 0.107:  24%|██▎       | 43/182 [00:55<02:59,  1.29s/it]
Epoch 13, training loss 0.107:  24%|██▍       | 44/182 [00:55<02:55,  1.27s/it]
Epoch 13, training loss 0.110:  24%|██▍       | 44/182 [00:56<02:57,  1.28s/it]
Epoch 13, training loss 0.110:  25%|██▍       | 45/182 [00:56<02:53,  1.27s/it]
Epoch 13, training loss 0.109:  25%|██▍       | 45/182 [00:57<02:55,  1.28s/it]
Epoch 13, training loss 0.109:  25%|██▌       | 46/182 [00:58<02:51,  1.26s/it]
Epoch 13, training loss 0.110:  25%|██▌       | 46/182 [00:58<02:53,  1.28s/it]
Epoch 13, training loss 0.110:  26%|██▌       | 47/182 [00:59<02:50,  1.26s/it]
Epoch 13, training loss 0.109:  26%|██▌       | 47/182 [00:59<02:51,  1.27s/it]
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Epoch 13, training loss 0.109:  26%|██▋       | 48/182 [01:00<02:50,  1.27s/it]
Epoch 13, training loss 0.109:  27%|██▋       | 49/182 [01:01<02:46,  1.25s/it]
Epoch 13, training loss 0.108:  27%|██▋       | 49/182 [01:02<02:48,  1.27s/it]
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Epoch 13, training loss 0.107:  28%|██▊       | 51/182 [01:03<02:43,  1.25s/it]
Epoch 13, training loss 0.107:  28%|██▊       | 51/182 [01:04<02:45,  1.26s/it]
Epoch 13, training loss 0.107:  29%|██▊       | 52/182 [01:04<02:41,  1.25s/it]
Epoch 13, training loss 0.107:  29%|██▊       | 52/182 [01:05<02:43,  1.26s/it]
Epoch 13, training loss 0.107:  29%|██▉       | 53/182 [01:05<02:40,  1.24s/it]
Epoch 13, training loss 0.106:  29%|██▉       | 53/182 [01:06<02:41,  1.26s/it]
Epoch 13, training loss 0.106:  30%|██▉       | 54/182 [01:07<02:38,  1.24s/it]
Epoch 13, training loss 0.107:  30%|██▉       | 54/182 [01:07<02:40,  1.25s/it]
Epoch 13, training loss 0.107:  30%|███       | 55/182 [01:08<02:37,  1.24s/it]
Epoch 13, training loss 0.112:  30%|███       | 55/182 [01:08<02:39,  1.25s/it]
Epoch 13, training loss 0.112:  31%|███       | 56/182 [01:09<02:36,  1.24s/it]
Epoch 13, training loss 0.110:  31%|███       | 56/182 [01:10<02:37,  1.25s/it]
Epoch 13, training loss 0.110:  31%|███▏      | 57/182 [01:10<02:34,  1.24s/it]
Epoch 13, training loss 0.110:  31%|███▏      | 57/182 [01:11<02:36,  1.25s/it]
Epoch 13, training loss 0.110:  32%|███▏      | 58/182 [01:11<02:33,  1.24s/it]
Epoch 13, training loss 0.110:  32%|███▏      | 58/182 [01:12<02:34,  1.25s/it]
Epoch 13, training loss 0.110:  32%|███▏      | 59/182 [01:12<02:31,  1.24s/it]
Epoch 13, training loss 0.109:  32%|███▏      | 59/182 [01:13<02:33,  1.25s/it]
Epoch 13, training loss 0.109:  33%|███▎      | 60/182 [01:13<02:30,  1.23s/it]
Epoch 13, training loss 0.108:  33%|███▎      | 60/182 [01:14<02:31,  1.24s/it]
Epoch 13, training loss 0.108:  34%|███▎      | 61/182 [01:15<02:28,  1.23s/it]
Epoch 13, training loss 0.109:  34%|███▎      | 61/182 [01:15<02:30,  1.24s/it]
Epoch 13, training loss 0.109:  34%|███▍      | 62/182 [01:16<02:27,  1.23s/it]
Epoch 13, training loss 0.108:  34%|███▍      | 62/182 [01:16<02:28,  1.24s/it]
Epoch 13, training loss 0.108:  35%|███▍      | 63/182 [01:17<02:25,  1.23s/it]
Epoch 13, training loss 0.108:  35%|███▍      | 63/182 [01:17<02:27,  1.24s/it]
Epoch 13, training loss 0.108:  35%|███▌      | 64/182 [01:18<02:24,  1.22s/it]
Epoch 13, training loss 0.109:  35%|███▌      | 64/182 [01:18<02:25,  1.23s/it]
Epoch 13, training loss 0.109:  36%|███▌      | 65/182 [01:19<02:23,  1.22s/it]
Epoch 13, training loss 0.112:  36%|███▌      | 65/182 [01:20<02:24,  1.23s/it]
Epoch 13, training loss 0.112:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 13, training loss 0.111:  36%|███▋      | 66/182 [01:21<02:22,  1.23s/it]
Epoch 13, training loss 0.111:  37%|███▋      | 67/182 [01:21<02:20,  1.22s/it]
Epoch 13, training loss 0.110:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 13, training loss 0.110:  37%|███▋      | 68/182 [01:22<02:18,  1.22s/it]
Epoch 13, training loss 0.109:  37%|███▋      | 68/182 [01:23<02:19,  1.23s/it]
Epoch 13, training loss 0.109:  38%|███▊      | 69/182 [01:23<02:17,  1.22s/it]
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Epoch 13, training loss 0.110:  38%|███▊      | 70/182 [01:25<02:16,  1.22s/it]
Epoch 13, training loss 0.110:  38%|███▊      | 70/182 [01:25<02:17,  1.23s/it]
Epoch 13, training loss 0.110:  39%|███▉      | 71/182 [01:26<02:14,  1.22s/it]
Epoch 13, training loss 0.109:  39%|███▉      | 71/182 [01:26<02:15,  1.22s/it]
Epoch 13, training loss 0.109:  40%|███▉      | 72/182 [01:27<02:13,  1.21s/it]
Epoch 13, training loss 0.109:  40%|███▉      | 72/182 [01:28<02:14,  1.22s/it]
Epoch 13, training loss 0.109:  40%|████      | 73/182 [01:28<02:12,  1.21s/it]
Epoch 13, training loss 0.108:  40%|████      | 73/182 [01:29<02:13,  1.22s/it]
Epoch 13, training loss 0.108:  41%|████      | 74/182 [01:29<02:11,  1.21s/it]
Epoch 13, training loss 0.107:  41%|████      | 74/182 [01:30<02:11,  1.22s/it]
Epoch 13, training loss 0.107:  41%|████      | 75/182 [01:30<02:09,  1.21s/it]
Epoch 13, training loss 0.107:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 13, training loss 0.107:  42%|████▏     | 76/182 [01:32<02:08,  1.21s/it]
Epoch 13, training loss 0.107:  42%|████▏     | 76/182 [01:32<02:09,  1.22s/it]
Epoch 13, training loss 0.107:  42%|████▏     | 77/182 [01:33<02:07,  1.21s/it]
Epoch 13, training loss 0.106:  42%|████▏     | 77/182 [01:33<02:07,  1.22s/it]
Epoch 13, training loss 0.106:  43%|████▎     | 78/182 [01:34<02:05,  1.21s/it]
Epoch 13, training loss 0.106:  43%|████▎     | 78/182 [01:34<02:06,  1.22s/it]
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Epoch 13, training loss 0.108:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
Epoch 13, training loss 0.108:  44%|████▍     | 80/182 [01:36<02:03,  1.21s/it]
Epoch 13, training loss 0.108:  44%|████▍     | 80/182 [01:37<02:03,  1.21s/it]
Epoch 13, training loss 0.108:  45%|████▍     | 81/182 [01:37<02:01,  1.21s/it]
Epoch 13, training loss 0.124:  45%|████▍     | 81/182 [01:38<02:02,  1.21s/it]
Epoch 13, training loss 0.124:  45%|████▌     | 82/182 [01:38<02:00,  1.20s/it]
Epoch 13, training loss 0.126:  45%|████▌     | 82/182 [01:39<02:01,  1.21s/it]
Epoch 13, training loss 0.126:  46%|████▌     | 83/182 [01:39<01:59,  1.20s/it]
Epoch 13, training loss 0.127:  46%|████▌     | 83/182 [01:40<01:59,  1.21s/it]
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Epoch 13, training loss 0.126:  47%|████▋     | 85/182 [01:42<01:56,  1.20s/it]
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Epoch 13, training loss 0.126:  47%|████▋     | 86/182 [01:43<01:55,  1.20s/it]
Epoch 13, training loss 0.133:  47%|████▋     | 86/182 [01:43<01:55,  1.21s/it]
Epoch 13, training loss 0.133:  48%|████▊     | 87/182 [01:44<01:53,  1.20s/it]
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Epoch 13, training loss 0.134:  49%|████▉     | 90/182 [01:47<01:50,  1.20s/it]
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Epoch 13, training loss 0.134:  51%|█████     | 92/182 [01:50<01:47,  1.20s/it]
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Epoch 13, training loss 0.133:  52%|█████▏    | 95/182 [01:53<01:43,  1.19s/it]
Epoch 13, training loss 0.135:  52%|█████▏    | 95/182 [01:53<01:44,  1.20s/it]
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Epoch 13, training loss 0.134:  57%|█████▋    | 104/182 [02:03<01:32,  1.18s/it]
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Epoch 13, training loss 0.134:  58%|█████▊    | 106/182 [02:05<01:29,  1.18s/it]
Epoch 13, training loss 0.134:  58%|█████▊    | 106/182 [02:06<01:30,  1.19s/it]
Epoch 13, training loss 0.134:  59%|█████▉    | 107/182 [02:06<01:28,  1.18s/it]
Epoch 13, training loss 0.134:  59%|█████▉    | 107/182 [02:07<01:29,  1.19s/it]
Epoch 13, training loss 0.134:  59%|█████▉    | 108/182 [02:07<01:27,  1.18s/it]
Epoch 13, training loss 0.135:  59%|█████▉    | 108/182 [02:08<01:27,  1.19s/it]
Epoch 13, training loss 0.135:  60%|█████▉    | 109/182 [02:08<01:26,  1.18s/it]
Epoch 13, training loss 0.135:  60%|█████▉    | 109/182 [02:09<01:26,  1.19s/it]
Epoch 13, training loss 0.135:  60%|██████    | 110/182 [02:10<01:25,  1.18s/it]
Epoch 13, training loss 0.136:  60%|██████    | 110/182 [02:10<01:25,  1.19s/it]
Epoch 13, training loss 0.136:  61%|██████    | 111/182 [02:11<01:23,  1.18s/it]
Epoch 13, training loss 0.135:  61%|██████    | 111/182 [02:11<01:24,  1.19s/it]
Epoch 13, training loss 0.135:  62%|██████▏   | 112/182 [02:12<01:22,  1.18s/it]
Epoch 13, training loss 0.134:  62%|██████▏   | 112/182 [02:12<01:22,  1.19s/it]
Epoch 13, training loss 0.134:  62%|██████▏   | 113/182 [02:13<01:21,  1.18s/it]
Epoch 13, training loss 0.134:  62%|██████▏   | 113/182 [02:13<01:21,  1.18s/it]
Epoch 13, training loss 0.134:  63%|██████▎   | 114/182 [02:14<01:20,  1.18s/it]
Epoch 13, training loss 0.133:  63%|██████▎   | 114/182 [02:14<01:20,  1.18s/it]
Epoch 13, training loss 0.133:  63%|██████▎   | 115/182 [02:15<01:18,  1.18s/it]
Epoch 13, training loss 0.133:  63%|██████▎   | 115/182 [02:16<01:19,  1.18s/it]
Epoch 13, training loss 0.133:  64%|██████▎   | 116/182 [02:16<01:17,  1.18s/it]
Epoch 13, training loss 0.133:  64%|██████▎   | 116/182 [02:17<01:18,  1.18s/it]
Epoch 13, training loss 0.133:  64%|██████▍   | 117/182 [02:17<01:16,  1.18s/it]
Epoch 13, training loss 0.134:  64%|██████▍   | 117/182 [02:18<01:16,  1.18s/it]
Epoch 13, training loss 0.134:  65%|██████▍   | 118/182 [02:18<01:15,  1.18s/it]
Epoch 13, training loss 0.135:  65%|██████▍   | 118/182 [02:19<01:15,  1.18s/it]
Epoch 13, training loss 0.135:  65%|██████▌   | 119/182 [02:19<01:14,  1.18s/it]
Epoch 13, training loss 0.136:  65%|██████▌   | 119/182 [02:20<01:14,  1.18s/it]
Epoch 13, training loss 0.136:  66%|██████▌   | 120/182 [02:20<01:12,  1.17s/it]
Epoch 13, training loss 0.135:  66%|██████▌   | 120/182 [02:21<01:13,  1.18s/it]
Epoch 13, training loss 0.135:  66%|██████▋   | 121/182 [02:22<01:11,  1.17s/it]
Epoch 13, training loss 0.135:  66%|██████▋   | 121/182 [02:22<01:11,  1.18s/it]
Epoch 13, training loss 0.135:  67%|██████▋   | 122/182 [02:23<01:10,  1.17s/it]
Epoch 13, training loss 0.135:  67%|██████▋   | 122/182 [02:23<01:10,  1.18s/it]
Epoch 13, training loss 0.135:  68%|██████▊   | 123/182 [02:24<01:09,  1.17s/it]
Epoch 13, training loss 0.136:  68%|██████▊   | 123/182 [02:24<01:09,  1.18s/it]
Epoch 13, training loss 0.136:  68%|██████▊   | 124/182 [02:25<01:08,  1.17s/it]
Epoch 13, training loss 0.135:  68%|██████▊   | 124/182 [02:26<01:08,  1.18s/it]
Epoch 13, training loss 0.135:  69%|██████▊   | 125/182 [02:26<01:06,  1.17s/it]
Epoch 13, training loss 0.135:  69%|██████▊   | 125/182 [02:27<01:07,  1.18s/it]
Epoch 13, training loss 0.135:  69%|██████▉   | 126/182 [02:27<01:05,  1.17s/it]
Epoch 13, training loss 0.135:  69%|██████▉   | 126/182 [02:28<01:05,  1.18s/it]
Epoch 13, training loss 0.135:  70%|██████▉   | 127/182 [02:28<01:04,  1.17s/it]
Epoch 13, training loss 0.135:  70%|██████▉   | 127/182 [02:29<01:04,  1.18s/it]
Epoch 13, training loss 0.135:  70%|███████   | 128/182 [02:29<01:03,  1.17s/it]
Epoch 13, training loss 0.136:  70%|███████   | 128/182 [02:30<01:03,  1.18s/it]
Epoch 13, training loss 0.136:  71%|███████   | 129/182 [02:31<01:02,  1.17s/it]
Epoch 13, training loss 0.135:  71%|███████   | 129/182 [02:31<01:02,  1.18s/it]
Epoch 13, training loss 0.135:  71%|███████▏  | 130/182 [02:32<01:00,  1.17s/it]
Epoch 13, training loss 0.137:  71%|███████▏  | 130/182 [02:32<01:01,  1.18s/it]
Epoch 13, training loss 0.137:  72%|███████▏  | 131/182 [02:33<00:59,  1.17s/it]
Epoch 13, training loss 0.136:  72%|███████▏  | 131/182 [02:33<00:59,  1.18s/it]
Epoch 13, training loss 0.136:  73%|███████▎  | 132/182 [02:34<00:58,  1.17s/it]
Epoch 13, training loss 0.136:  73%|███████▎  | 132/182 [02:35<00:58,  1.18s/it]
Epoch 13, training loss 0.136:  73%|███████▎  | 133/182 [02:35<00:57,  1.17s/it]
Epoch 13, training loss 0.136:  73%|███████▎  | 133/182 [02:36<00:57,  1.18s/it]
Epoch 13, training loss 0.136:  74%|███████▎  | 134/182 [02:36<00:56,  1.17s/it]
Epoch 13, training loss 0.136:  74%|███████▎  | 134/182 [02:37<00:56,  1.17s/it]
Epoch 13, training loss 0.136:  74%|███████▍  | 135/182 [02:37<00:54,  1.17s/it]
Epoch 13, training loss 0.135:  74%|███████▍  | 135/182 [02:38<00:55,  1.17s/it]
Epoch 13, training loss 0.135:  75%|███████▍  | 136/182 [02:39<00:53,  1.17s/it]
Epoch 13, training loss 0.135:  75%|███████▍  | 136/182 [02:39<00:53,  1.17s/it]
Epoch 13, training loss 0.135:  75%|███████▌  | 137/182 [02:40<00:52,  1.17s/it]
Epoch 13, training loss 0.134:  75%|███████▌  | 137/182 [02:40<00:52,  1.17s/it]
Epoch 13, training loss 0.134:  76%|███████▌  | 138/182 [02:41<00:51,  1.17s/it]
Epoch 13, training loss 0.134:  76%|███████▌  | 138/182 [02:41<00:51,  1.17s/it]
Epoch 13, training loss 0.134:  76%|███████▋  | 139/182 [02:42<00:50,  1.17s/it]
Epoch 13, training loss 0.134:  76%|███████▋  | 139/182 [02:42<00:50,  1.17s/it]
Epoch 13, training loss 0.134:  77%|███████▋  | 140/182 [02:43<00:49,  1.17s/it]
Epoch 13, training loss 0.134:  77%|███████▋  | 140/182 [02:44<00:49,  1.17s/it]
Epoch 13, training loss 0.134:  77%|███████▋  | 141/182 [02:44<00:47,  1.17s/it]
Epoch 13, training loss 0.133:  77%|███████▋  | 141/182 [02:45<00:48,  1.17s/it]
Epoch 13, training loss 0.133:  78%|███████▊  | 142/182 [02:45<00:46,  1.17s/it]
Epoch 13, training loss 0.133:  78%|███████▊  | 142/182 [02:46<00:46,  1.17s/it]
Epoch 13, training loss 0.133:  79%|███████▊  | 143/182 [02:46<00:45,  1.17s/it]
Epoch 13, training loss 0.133:  79%|███████▊  | 143/182 [02:47<00:45,  1.17s/it]
Epoch 13, training loss 0.133:  79%|███████▉  | 144/182 [02:47<00:44,  1.17s/it]
Epoch 13, training loss 0.133:  79%|███████▉  | 144/182 [02:48<00:44,  1.17s/it]
Epoch 13, training loss 0.133:  80%|███████▉  | 145/182 [02:49<00:43,  1.17s/it]
Epoch 13, training loss 0.132:  80%|███████▉  | 145/182 [02:49<00:43,  1.17s/it]
Epoch 13, training loss 0.132:  80%|████████  | 146/182 [02:50<00:41,  1.17s/it]
Epoch 13, training loss 0.131:  80%|████████  | 146/182 [02:50<00:42,  1.17s/it]
Epoch 13, training loss 0.131:  81%|████████  | 147/182 [02:51<00:40,  1.17s/it]
Epoch 13, training loss 0.131:  81%|████████  | 147/182 [02:52<00:40,  1.17s/it]
Epoch 13, training loss 0.131:  81%|████████▏ | 148/182 [02:52<00:39,  1.17s/it]
Epoch 13, training loss 0.131:  81%|████████▏ | 148/182 [02:53<00:39,  1.17s/it]
Epoch 13, training loss 0.131:  82%|████████▏ | 149/182 [02:53<00:38,  1.17s/it]
Epoch 13, training loss 0.132:  82%|████████▏ | 149/182 [02:54<00:38,  1.17s/it]
Epoch 13, training loss 0.132:  82%|████████▏ | 150/182 [02:55<00:37,  1.17s/it]
Epoch 13, training loss 0.132:  82%|████████▏ | 150/182 [02:55<00:37,  1.17s/it]
Epoch 13, training loss 0.132:  83%|████████▎ | 151/182 [02:56<00:36,  1.17s/it]
Epoch 13, training loss 0.132:  83%|████████▎ | 151/182 [02:56<00:36,  1.17s/it]
Epoch 13, training loss 0.132:  84%|████████▎ | 152/182 [02:57<00:34,  1.17s/it]
Epoch 13, training loss 0.132:  84%|████████▎ | 152/182 [02:58<00:35,  1.17s/it]
Epoch 13, training loss 0.132:  84%|████████▍ | 153/182 [02:58<00:33,  1.17s/it]
Epoch 13, training loss 0.132:  84%|████████▍ | 153/182 [02:59<00:33,  1.17s/it]
Epoch 13, training loss 0.132:  85%|████████▍ | 154/182 [02:59<00:32,  1.17s/it]
Epoch 13, training loss 0.132:  85%|████████▍ | 154/182 [03:00<00:32,  1.17s/it]
Epoch 13, training loss 0.132:  85%|████████▌ | 155/182 [03:00<00:31,  1.17s/it]
Epoch 13, training loss 0.131:  85%|████████▌ | 155/182 [03:01<00:31,  1.17s/it]
Epoch 13, training loss 0.131:  86%|████████▌ | 156/182 [03:01<00:30,  1.17s/it]
Epoch 13, training loss 0.131:  86%|████████▌ | 156/182 [03:02<00:30,  1.17s/it]
Epoch 13, training loss 0.131:  86%|████████▋ | 157/182 [03:03<00:29,  1.17s/it]
Epoch 13, training loss 0.131:  86%|████████▋ | 157/182 [03:03<00:29,  1.17s/it]
Epoch 13, training loss 0.131:  87%|████████▋ | 158/182 [03:04<00:27,  1.17s/it]
Epoch 13, training loss 0.131:  87%|████████▋ | 158/182 [03:04<00:28,  1.17s/it]
Epoch 13, training loss 0.131:  87%|████████▋ | 159/182 [03:05<00:26,  1.17s/it]
Epoch 13, training loss 0.131:  87%|████████▋ | 159/182 [03:05<00:26,  1.17s/it]
Epoch 13, training loss 0.131:  88%|████████▊ | 160/182 [03:06<00:25,  1.17s/it]
Epoch 13, training loss 0.131:  88%|████████▊ | 160/182 [03:07<00:25,  1.17s/it]
Epoch 13, training loss 0.131:  88%|████████▊ | 161/182 [03:07<00:24,  1.16s/it]
Epoch 13, training loss 0.131:  88%|████████▊ | 161/182 [03:08<00:24,  1.17s/it]
Epoch 13, training loss 0.131:  89%|████████▉ | 162/182 [03:08<00:23,  1.17s/it]
Epoch 13, training loss 0.131:  89%|████████▉ | 162/182 [03:09<00:23,  1.17s/it]
Epoch 13, training loss 0.131:  90%|████████▉ | 163/182 [03:09<00:22,  1.16s/it]
Epoch 13, training loss 0.131:  90%|████████▉ | 163/182 [03:10<00:22,  1.17s/it]
Epoch 13, training loss 0.131:  90%|█████████ | 164/182 [03:11<00:20,  1.16s/it]
Epoch 13, training loss 0.131:  90%|█████████ | 164/182 [03:11<00:21,  1.17s/it]
Epoch 13, training loss 0.131:  91%|█████████ | 165/182 [03:12<00:19,  1.16s/it]
Epoch 13, training loss 0.131:  91%|█████████ | 165/182 [03:12<00:19,  1.17s/it]
Epoch 13, training loss 0.131:  91%|█████████ | 166/182 [03:13<00:18,  1.16s/it]
Epoch 13, training loss 0.132:  91%|█████████ | 166/182 [03:13<00:18,  1.17s/it]
Epoch 13, training loss 0.132:  92%|█████████▏| 167/182 [03:14<00:17,  1.16s/it]
Epoch 13, training loss 0.131:  92%|█████████▏| 167/182 [03:14<00:17,  1.17s/it]
Epoch 13, training loss 0.131:  92%|█████████▏| 168/182 [03:15<00:16,  1.16s/it]
Epoch 13, training loss 0.131:  92%|█████████▏| 168/182 [03:16<00:16,  1.17s/it]
Epoch 13, training loss 0.131:  93%|█████████▎| 169/182 [03:16<00:15,  1.16s/it]
Epoch 13, training loss 0.131:  93%|█████████▎| 169/182 [03:17<00:15,  1.17s/it]
Epoch 13, training loss 0.131:  93%|█████████▎| 170/182 [03:17<00:13,  1.16s/it]
Epoch 13, training loss 0.131:  93%|█████████▎| 170/182 [03:18<00:13,  1.17s/it]
Epoch 13, training loss 0.131:  94%|█████████▍| 171/182 [03:18<00:12,  1.16s/it]
Epoch 13, training loss 0.131:  94%|█████████▍| 171/182 [03:19<00:12,  1.17s/it]
Epoch 13, training loss 0.131:  95%|█████████▍| 172/182 [03:19<00:11,  1.16s/it]
Epoch 13, training loss 0.130:  95%|█████████▍| 172/182 [03:20<00:11,  1.17s/it]
Epoch 13, training loss 0.130:  95%|█████████▌| 173/182 [03:21<00:10,  1.16s/it]
Epoch 13, training loss 0.130:  95%|█████████▌| 173/182 [03:21<00:10,  1.17s/it]
Epoch 13, training loss 0.130:  96%|█████████▌| 174/182 [03:22<00:09,  1.16s/it]
Epoch 13, training loss 0.131:  96%|█████████▌| 174/182 [03:22<00:09,  1.17s/it]
Epoch 13, training loss 0.131:  96%|█████████▌| 175/182 [03:23<00:08,  1.16s/it]
Epoch 13, training loss 0.131:  96%|█████████▌| 175/182 [03:23<00:08,  1.16s/it]
Epoch 13, training loss 0.131:  97%|█████████▋| 176/182 [03:24<00:06,  1.16s/it]
Epoch 13, training loss 0.131:  97%|█████████▋| 176/182 [03:24<00:06,  1.16s/it]
Epoch 13, training loss 0.131:  97%|█████████▋| 177/182 [03:25<00:05,  1.16s/it]
Epoch 13, training loss 0.131:  97%|█████████▋| 177/182 [03:26<00:05,  1.16s/it]
Epoch 13, training loss 0.131:  98%|█████████▊| 178/182 [03:26<00:04,  1.16s/it]
Epoch 13, training loss 0.131:  98%|█████████▊| 178/182 [03:27<00:04,  1.16s/it]
Epoch 13, training loss 0.131:  98%|█████████▊| 179/182 [03:27<00:03,  1.16s/it]
Epoch 13, training loss 0.130:  98%|█████████▊| 179/182 [03:28<00:03,  1.16s/it]
Epoch 13, training loss 0.130:  99%|█████████▉| 180/182 [03:28<00:02,  1.16s/it]
Epoch 13, training loss 0.130:  99%|█████████▉| 180/182 [03:29<00:02,  1.16s/it]
Epoch 13, training loss 0.130:  99%|█████████▉| 181/182 [03:30<00:01,  1.16s/it]
Epoch 13, training loss 0.130:  99%|█████████▉| 181/182 [03:30<00:01,  1.16s/it]
Epoch 13, training loss 0.130: 100%|██████████| 182/182 [03:31<00:00,  1.16s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 13, validation pixAcc: 0.978, mIoU: 0.536:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 13, validation pixAcc: 0.978, mIoU: 0.536:   1%|          | 1/90 [00:04<06:43,  4.54s/it]
Epoch 13, validation pixAcc: 0.975, mIoU: 0.717:   1%|          | 1/90 [00:04<07:24,  4.99s/it]
Epoch 13, validation pixAcc: 0.975, mIoU: 0.717:   2%|▏         | 2/90 [00:04<03:39,  2.50s/it]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.780:   2%|▏         | 2/90 [00:05<03:57,  2.70s/it]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.780:   3%|▎         | 3/90 [00:05<02:36,  1.80s/it]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.792:   3%|▎         | 3/90 [00:05<02:48,  1.94s/it]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.792:   4%|▍         | 4/90 [00:05<02:05,  1.46s/it]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.896:   4%|▍         | 4/90 [00:06<02:14,  1.57s/it]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.896:   6%|▌         | 5/90 [00:06<01:46,  1.25s/it]
Epoch 13, validation pixAcc: 0.978, mIoU: 0.896:   6%|▌         | 5/90 [00:06<01:54,  1.35s/it]
Epoch 13, validation pixAcc: 0.978, mIoU: 0.896:   7%|▋         | 6/90 [00:06<01:34,  1.12s/it]
Epoch 13, validation pixAcc: 0.973, mIoU: 0.882:   7%|▋         | 6/90 [00:07<01:39,  1.19s/it]
Epoch 13, validation pixAcc: 0.973, mIoU: 0.882:   8%|▊         | 7/90 [00:07<01:24,  1.02s/it]
Epoch 13, validation pixAcc: 0.975, mIoU: 0.884:   8%|▊         | 7/90 [00:07<01:29,  1.08s/it]
Epoch 13, validation pixAcc: 0.975, mIoU: 0.884:   9%|▉         | 8/90 [00:07<01:17,  1.06it/s]
Epoch 13, validation pixAcc: 0.975, mIoU: 0.886:   9%|▉         | 8/90 [00:07<01:21,  1.00it/s]
Epoch 13, validation pixAcc: 0.975, mIoU: 0.886:  10%|█         | 9/90 [00:07<01:11,  1.13it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.897:  10%|█         | 9/90 [00:08<01:15,  1.07it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.897:  11%|█         | 10/90 [00:08<01:07,  1.19it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.894:  11%|█         | 10/90 [00:08<01:11,  1.13it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.894:  12%|█▏        | 11/90 [00:08<01:03,  1.24it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.890:  12%|█▏        | 11/90 [00:09<01:07,  1.18it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.890:  13%|█▎        | 12/90 [00:09<01:00,  1.29it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.894:  13%|█▎        | 12/90 [00:09<01:03,  1.23it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.894:  14%|█▍        | 13/90 [00:09<00:57,  1.33it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.901:  14%|█▍        | 13/90 [00:10<01:00,  1.27it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.901:  16%|█▌        | 14/90 [00:10<00:55,  1.36it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.900:  16%|█▌        | 14/90 [00:10<00:58,  1.30it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.900:  17%|█▋        | 15/90 [00:10<00:53,  1.40it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.905:  17%|█▋        | 15/90 [00:11<00:55,  1.34it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.905:  18%|█▊        | 16/90 [00:11<00:51,  1.43it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.902:  18%|█▊        | 16/90 [00:11<00:53,  1.37it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.902:  19%|█▉        | 17/90 [00:11<00:50,  1.46it/s]
Epoch 13, validation pixAcc: 0.975, mIoU: 0.898:  19%|█▉        | 17/90 [00:12<00:52,  1.40it/s]
Epoch 13, validation pixAcc: 0.975, mIoU: 0.898:  20%|██        | 18/90 [00:12<00:48,  1.49it/s]
Epoch 13, validation pixAcc: 0.974, mIoU: 0.892:  20%|██        | 18/90 [00:12<00:50,  1.43it/s]
Epoch 13, validation pixAcc: 0.974, mIoU: 0.892:  21%|██        | 19/90 [00:12<00:46,  1.51it/s]
Epoch 13, validation pixAcc: 0.973, mIoU: 0.890:  21%|██        | 19/90 [00:13<00:48,  1.46it/s]
Epoch 13, validation pixAcc: 0.973, mIoU: 0.890:  22%|██▏       | 20/90 [00:13<00:45,  1.54it/s]
Epoch 13, validation pixAcc: 0.974, mIoU: 0.893:  22%|██▏       | 20/90 [00:13<00:46,  1.49it/s]
Epoch 13, validation pixAcc: 0.974, mIoU: 0.893:  23%|██▎       | 21/90 [00:13<00:44,  1.56it/s]
Epoch 13, validation pixAcc: 0.973, mIoU: 0.890:  23%|██▎       | 21/90 [00:13<00:45,  1.51it/s]
Epoch 13, validation pixAcc: 0.973, mIoU: 0.890:  24%|██▍       | 22/90 [00:13<00:42,  1.59it/s]
Epoch 13, validation pixAcc: 0.973, mIoU: 0.891:  24%|██▍       | 22/90 [00:14<00:44,  1.54it/s]
Epoch 13, validation pixAcc: 0.973, mIoU: 0.891:  26%|██▌       | 23/90 [00:14<00:41,  1.61it/s]
Epoch 13, validation pixAcc: 0.974, mIoU: 0.891:  26%|██▌       | 23/90 [00:14<00:43,  1.56it/s]
Epoch 13, validation pixAcc: 0.974, mIoU: 0.891:  27%|██▋       | 24/90 [00:14<00:40,  1.62it/s]
Epoch 13, validation pixAcc: 0.974, mIoU: 0.892:  27%|██▋       | 24/90 [00:15<00:41,  1.58it/s]
Epoch 13, validation pixAcc: 0.974, mIoU: 0.892:  28%|██▊       | 25/90 [00:15<00:39,  1.64it/s]
Epoch 13, validation pixAcc: 0.974, mIoU: 0.892:  28%|██▊       | 25/90 [00:15<00:40,  1.60it/s]
Epoch 13, validation pixAcc: 0.974, mIoU: 0.892:  29%|██▉       | 26/90 [00:15<00:38,  1.67it/s]
Epoch 13, validation pixAcc: 0.974, mIoU: 0.895:  29%|██▉       | 26/90 [00:16<00:39,  1.62it/s]
Epoch 13, validation pixAcc: 0.974, mIoU: 0.895:  30%|███       | 27/90 [00:16<00:37,  1.68it/s]
Epoch 13, validation pixAcc: 0.975, mIoU: 0.898:  30%|███       | 27/90 [00:16<00:38,  1.64it/s]
Epoch 13, validation pixAcc: 0.975, mIoU: 0.898:  31%|███       | 28/90 [00:16<00:36,  1.70it/s]
Epoch 13, validation pixAcc: 0.975, mIoU: 0.897:  31%|███       | 28/90 [00:16<00:37,  1.66it/s]
Epoch 13, validation pixAcc: 0.975, mIoU: 0.897:  32%|███▏      | 29/90 [00:16<00:35,  1.72it/s]
Epoch 13, validation pixAcc: 0.975, mIoU: 0.899:  32%|███▏      | 29/90 [00:17<00:36,  1.67it/s]
Epoch 13, validation pixAcc: 0.975, mIoU: 0.899:  33%|███▎      | 30/90 [00:17<00:34,  1.73it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.900:  33%|███▎      | 30/90 [00:17<00:35,  1.69it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.900:  34%|███▍      | 31/90 [00:17<00:33,  1.75it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.901:  34%|███▍      | 31/90 [00:18<00:34,  1.70it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.901:  36%|███▌      | 32/90 [00:18<00:33,  1.76it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.903:  36%|███▌      | 32/90 [00:18<00:33,  1.72it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.903:  37%|███▋      | 33/90 [00:18<00:32,  1.77it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.904:  37%|███▋      | 33/90 [00:19<00:33,  1.73it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.904:  38%|███▊      | 34/90 [00:19<00:31,  1.78it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.904:  38%|███▊      | 34/90 [00:19<00:32,  1.74it/s]
Epoch 13, validation pixAcc: 0.976, mIoU: 0.904:  39%|███▉      | 35/90 [00:19<00:30,  1.79it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.904:  39%|███▉      | 35/90 [00:19<00:31,  1.75it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.904:  40%|████      | 36/90 [00:19<00:29,  1.80it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.904:  40%|████      | 36/90 [00:20<00:30,  1.77it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.904:  41%|████      | 37/90 [00:20<00:29,  1.82it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.905:  41%|████      | 37/90 [00:20<00:29,  1.78it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.905:  42%|████▏     | 38/90 [00:20<00:28,  1.83it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.905:  42%|████▏     | 38/90 [00:21<00:29,  1.79it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.905:  43%|████▎     | 39/90 [00:21<00:27,  1.84it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.906:  43%|████▎     | 39/90 [00:21<00:28,  1.80it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.906:  44%|████▍     | 40/90 [00:21<00:27,  1.85it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.906:  44%|████▍     | 40/90 [00:22<00:27,  1.81it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.906:  46%|████▌     | 41/90 [00:22<00:26,  1.85it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.906:  46%|████▌     | 41/90 [00:22<00:26,  1.82it/s]
Epoch 13, validation pixAcc: 0.977, mIoU: 0.906:  47%|████▋     | 42/90 [00:22<00:25,  1.87it/s]
Epoch 13, validation pixAcc: 0.978, mIoU: 0.907:  47%|████▋     | 42/90 [00:22<00:26,  1.83it/s]
Epoch 13, validation pixAcc: 0.978, mIoU: 0.907:  48%|████▊     | 43/90 [00:22<00:25,  1.88it/s]
Epoch 13, validation pixAcc: 0.978, mIoU: 0.908:  48%|████▊     | 43/90 [00:23<00:25,  1.85it/s]
Epoch 13, validation pixAcc: 0.978, mIoU: 0.908:  49%|████▉     | 44/90 [00:23<00:24,  1.89it/s]
Epoch 13, validation pixAcc: 0.978, mIoU: 0.908:  49%|████▉     | 44/90 [00:23<00:24,  1.86it/s]
Epoch 13, validation pixAcc: 0.978, mIoU: 0.908:  50%|█████     | 45/90 [00:23<00:23,  1.90it/s]
Epoch 13, validation pixAcc: 0.978, mIoU: 0.908:  50%|█████     | 45/90 [00:24<00:24,  1.87it/s]
Epoch 13, validation pixAcc: 0.978, mIoU: 0.908:  51%|█████     | 46/90 [00:24<00:23,  1.91it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.909:  51%|█████     | 46/90 [00:24<00:23,  1.87it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.909:  52%|█████▏    | 47/90 [00:24<00:22,  1.91it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.909:  52%|█████▏    | 47/90 [00:25<00:22,  1.88it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.909:  53%|█████▎    | 48/90 [00:25<00:21,  1.92it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.908:  53%|█████▎    | 48/90 [00:25<00:22,  1.88it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.908:  54%|█████▍    | 49/90 [00:25<00:21,  1.92it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.909:  54%|█████▍    | 49/90 [00:25<00:21,  1.89it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.909:  56%|█████▌    | 50/90 [00:25<00:20,  1.93it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.909:  56%|█████▌    | 50/90 [00:26<00:21,  1.90it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.909:  57%|█████▋    | 51/90 [00:26<00:20,  1.94it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.910:  57%|█████▋    | 51/90 [00:26<00:20,  1.91it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.910:  58%|█████▊    | 52/90 [00:26<00:19,  1.94it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.909:  58%|█████▊    | 52/90 [00:27<00:19,  1.91it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.909:  59%|█████▉    | 53/90 [00:27<00:18,  1.95it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.909:  59%|█████▉    | 53/90 [00:27<00:19,  1.92it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.909:  60%|██████    | 54/90 [00:27<00:18,  1.95it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.909:  60%|██████    | 54/90 [00:28<00:18,  1.92it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.909:  61%|██████    | 55/90 [00:28<00:17,  1.96it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.910:  61%|██████    | 55/90 [00:28<00:18,  1.93it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.910:  62%|██████▏   | 56/90 [00:28<00:17,  1.96it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.910:  62%|██████▏   | 56/90 [00:28<00:17,  1.93it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.910:  63%|██████▎   | 57/90 [00:28<00:16,  1.97it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.910:  63%|██████▎   | 57/90 [00:29<00:17,  1.94it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.910:  64%|██████▍   | 58/90 [00:29<00:16,  1.97it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.910:  64%|██████▍   | 58/90 [00:29<00:16,  1.94it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.910:  66%|██████▌   | 59/90 [00:29<00:15,  1.98it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.910:  66%|██████▌   | 59/90 [00:30<00:15,  1.95it/s]
Epoch 13, validation pixAcc: 0.979, mIoU: 0.910:  67%|██████▋   | 60/90 [00:30<00:15,  1.98it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.911:  67%|██████▋   | 60/90 [00:30<00:15,  1.95it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.911:  68%|██████▊   | 61/90 [00:30<00:14,  1.99it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.911:  68%|██████▊   | 61/90 [00:31<00:14,  1.96it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.911:  69%|██████▉   | 62/90 [00:31<00:14,  1.99it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.912:  69%|██████▉   | 62/90 [00:31<00:14,  1.96it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.912:  70%|███████   | 63/90 [00:31<00:13,  2.00it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.912:  70%|███████   | 63/90 [00:31<00:13,  1.97it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.912:  71%|███████   | 64/90 [00:31<00:12,  2.00it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.913:  71%|███████   | 64/90 [00:32<00:13,  1.97it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.913:  72%|███████▏  | 65/90 [00:32<00:12,  2.00it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.913:  72%|███████▏  | 65/90 [00:32<00:12,  1.98it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.913:  73%|███████▎  | 66/90 [00:32<00:11,  2.01it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.913:  73%|███████▎  | 66/90 [00:33<00:12,  1.98it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.913:  74%|███████▍  | 67/90 [00:33<00:11,  2.01it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.913:  74%|███████▍  | 67/90 [00:33<00:11,  1.99it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.913:  76%|███████▌  | 68/90 [00:33<00:10,  2.02it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.914:  76%|███████▌  | 68/90 [00:34<00:11,  1.99it/s]
Epoch 13, validation pixAcc: 0.980, mIoU: 0.914:  77%|███████▋  | 69/90 [00:34<00:10,  2.02it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.914:  77%|███████▋  | 69/90 [00:34<00:10,  2.00it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.914:  78%|███████▊  | 70/90 [00:34<00:09,  2.02it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.914:  78%|███████▊  | 70/90 [00:34<00:09,  2.00it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.914:  79%|███████▉  | 71/90 [00:34<00:09,  2.03it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.914:  79%|███████▉  | 71/90 [00:35<00:09,  2.00it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.914:  80%|████████  | 72/90 [00:35<00:08,  2.03it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.914:  80%|████████  | 72/90 [00:35<00:08,  2.01it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.914:  81%|████████  | 73/90 [00:35<00:08,  2.04it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.914:  81%|████████  | 73/90 [00:36<00:08,  2.01it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.914:  82%|████████▏ | 74/90 [00:36<00:07,  2.04it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.915:  82%|████████▏ | 74/90 [00:36<00:07,  2.02it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.915:  83%|████████▎ | 75/90 [00:36<00:07,  2.04it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.915:  83%|████████▎ | 75/90 [00:37<00:07,  2.02it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.915:  84%|████████▍ | 76/90 [00:37<00:06,  2.05it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.915:  84%|████████▍ | 76/90 [00:37<00:06,  2.02it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.915:  86%|████████▌ | 77/90 [00:37<00:06,  2.05it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.915:  86%|████████▌ | 77/90 [00:37<00:06,  2.03it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.915:  87%|████████▋ | 78/90 [00:37<00:05,  2.05it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.915:  87%|████████▋ | 78/90 [00:38<00:05,  2.03it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.915:  88%|████████▊ | 79/90 [00:38<00:05,  2.06it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.916:  88%|████████▊ | 79/90 [00:38<00:05,  2.03it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.916:  89%|████████▉ | 80/90 [00:38<00:04,  2.06it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.916:  89%|████████▉ | 80/90 [00:39<00:04,  2.04it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.916:  90%|█████████ | 81/90 [00:39<00:04,  2.06it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  90%|█████████ | 81/90 [00:39<00:04,  2.04it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  91%|█████████ | 82/90 [00:39<00:03,  2.07it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  91%|█████████ | 82/90 [00:40<00:03,  2.04it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  92%|█████████▏| 83/90 [00:40<00:03,  2.07it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  92%|█████████▏| 83/90 [00:40<00:03,  2.05it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  93%|█████████▎| 84/90 [00:40<00:02,  2.07it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  93%|█████████▎| 84/90 [00:40<00:02,  2.05it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  94%|█████████▍| 85/90 [00:40<00:02,  2.08it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  94%|█████████▍| 85/90 [00:41<00:02,  2.06it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  96%|█████████▌| 86/90 [00:41<00:01,  2.08it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  96%|█████████▌| 86/90 [00:41<00:01,  2.06it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  97%|█████████▋| 87/90 [00:41<00:01,  2.08it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  97%|█████████▋| 87/90 [00:42<00:01,  2.06it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  98%|█████████▊| 88/90 [00:42<00:00,  2.09it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  98%|█████████▊| 88/90 [00:42<00:00,  2.07it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  99%|█████████▉| 89/90 [00:42<00:00,  2.09it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917:  99%|█████████▉| 89/90 [00:42<00:00,  2.07it/s]
Epoch 13, validation pixAcc: 0.981, mIoU: 0.917: 100%|██████████| 90/90 [00:42<00:00,  2.09it/s]

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Epoch 14, training loss 0.268:   0%|          | 0/182 [00:04<?, ?it/s]
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Epoch 14, training loss 0.149:   1%|          | 1/182 [00:05<17:45,  5.89s/it]
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Epoch 14, training loss 0.118:   1%|          | 2/182 [00:06<10:28,  3.49s/it]
Epoch 14, training loss 0.118:   2%|▏         | 3/182 [00:07<07:27,  2.50s/it]
Epoch 14, training loss 0.115:   2%|▏         | 3/182 [00:08<08:06,  2.72s/it]
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Epoch 14, training loss 0.122:   2%|▏         | 4/182 [00:09<06:51,  2.31s/it]
Epoch 14, training loss 0.122:   3%|▎         | 5/182 [00:09<05:45,  1.95s/it]
Epoch 14, training loss 0.109:   3%|▎         | 5/182 [00:10<06:11,  2.10s/it]
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Epoch 14, training loss 0.099:   3%|▎         | 6/182 [00:11<05:40,  1.94s/it]
Epoch 14, training loss 0.099:   4%|▍         | 7/182 [00:12<05:02,  1.73s/it]
Epoch 14, training loss 0.093:   4%|▍         | 7/182 [00:12<05:20,  1.83s/it]
Epoch 14, training loss 0.093:   4%|▍         | 8/182 [00:13<04:49,  1.67s/it]
Epoch 14, training loss 0.089:   4%|▍         | 8/182 [00:13<05:03,  1.75s/it]
Epoch 14, training loss 0.089:   5%|▍         | 9/182 [00:14<04:38,  1.61s/it]
Epoch 14, training loss 0.117:   5%|▍         | 9/182 [00:15<04:50,  1.68s/it]
Epoch 14, training loss 0.117:   5%|▌         | 10/182 [00:15<04:28,  1.56s/it]
Epoch 14, training loss 0.108:   5%|▌         | 10/182 [00:16<04:39,  1.62s/it]
Epoch 14, training loss 0.108:   6%|▌         | 11/182 [00:16<04:19,  1.52s/it]
Epoch 14, training loss 0.109:   6%|▌         | 11/182 [00:17<04:30,  1.58s/it]
Epoch 14, training loss 0.109:   7%|▋         | 12/182 [00:17<04:13,  1.49s/it]
Epoch 14, training loss 0.123:   7%|▋         | 12/182 [00:18<04:23,  1.55s/it]
Epoch 14, training loss 0.123:   7%|▋         | 13/182 [00:19<04:08,  1.47s/it]
Epoch 14, training loss 0.130:   7%|▋         | 13/182 [00:19<04:18,  1.53s/it]
Epoch 14, training loss 0.130:   8%|▊         | 14/182 [00:20<04:05,  1.46s/it]
Epoch 14, training loss 0.147:   8%|▊         | 14/182 [00:21<04:13,  1.51s/it]
Epoch 14, training loss 0.147:   8%|▊         | 15/182 [00:21<04:00,  1.44s/it]
Epoch 14, training loss 0.154:   8%|▊         | 15/182 [00:22<04:07,  1.48s/it]
Epoch 14, training loss 0.154:   9%|▉         | 16/182 [00:22<03:55,  1.42s/it]
Epoch 14, training loss 0.147:   9%|▉         | 16/182 [00:23<04:01,  1.46s/it]
Epoch 14, training loss 0.147:   9%|▉         | 17/182 [00:23<03:51,  1.40s/it]
Epoch 14, training loss 0.143:   9%|▉         | 17/182 [00:24<03:57,  1.44s/it]
Epoch 14, training loss 0.143:  10%|▉         | 18/182 [00:24<03:47,  1.38s/it]
Epoch 14, training loss 0.144:  10%|▉         | 18/182 [00:25<03:52,  1.42s/it]
Epoch 14, training loss 0.144:  10%|█         | 19/182 [00:26<03:43,  1.37s/it]
Epoch 14, training loss 0.142:  10%|█         | 19/182 [00:26<03:48,  1.40s/it]
Epoch 14, training loss 0.142:  11%|█         | 20/182 [00:27<03:39,  1.36s/it]
Epoch 14, training loss 0.140:  11%|█         | 20/182 [00:27<03:45,  1.39s/it]
Epoch 14, training loss 0.140:  12%|█▏        | 21/182 [00:28<03:36,  1.35s/it]
Epoch 14, training loss 0.156:  12%|█▏        | 21/182 [00:28<03:41,  1.37s/it]
Epoch 14, training loss 0.156:  12%|█▏        | 22/182 [00:29<03:33,  1.33s/it]
Epoch 14, training loss 0.162:  12%|█▏        | 22/182 [00:30<03:38,  1.37s/it]
Epoch 14, training loss 0.162:  13%|█▎        | 23/182 [00:30<03:31,  1.33s/it]
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Epoch 14, training loss 0.156:  13%|█▎        | 24/182 [00:31<03:28,  1.32s/it]
Epoch 14, training loss 0.153:  13%|█▎        | 24/182 [00:32<03:32,  1.34s/it]
Epoch 14, training loss 0.153:  14%|█▎        | 25/182 [00:32<03:25,  1.31s/it]
Epoch 14, training loss 0.149:  14%|█▎        | 25/182 [00:33<03:29,  1.34s/it]
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Epoch 14, training loss 0.146:  14%|█▍        | 26/182 [00:34<03:27,  1.33s/it]
Epoch 14, training loss 0.146:  15%|█▍        | 27/182 [00:35<03:21,  1.30s/it]
Epoch 14, training loss 0.143:  15%|█▍        | 27/182 [00:35<03:24,  1.32s/it]
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Epoch 14, training loss 0.145:  15%|█▌        | 28/182 [00:36<03:22,  1.31s/it]
Epoch 14, training loss 0.145:  16%|█▌        | 29/182 [00:37<03:16,  1.29s/it]
Epoch 14, training loss 0.142:  16%|█▌        | 29/182 [00:37<03:20,  1.31s/it]
Epoch 14, training loss 0.142:  16%|█▋        | 30/182 [00:38<03:14,  1.28s/it]
Epoch 14, training loss 0.141:  16%|█▋        | 30/182 [00:39<03:17,  1.30s/it]
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Epoch 14, training loss 0.140:  17%|█▋        | 31/182 [00:40<03:15,  1.30s/it]
Epoch 14, training loss 0.140:  18%|█▊        | 32/182 [00:40<03:10,  1.27s/it]
Epoch 14, training loss 0.138:  18%|█▊        | 32/182 [00:41<03:14,  1.29s/it]
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Epoch 14, training loss 0.136:  18%|█▊        | 33/182 [00:42<03:12,  1.29s/it]
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Epoch 14, training loss 0.135:  19%|█▉        | 35/182 [00:44<03:08,  1.28s/it]
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Epoch 14, training loss 0.133:  20%|█▉        | 36/182 [00:45<03:06,  1.27s/it]
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Epoch 14, training loss 0.130:  20%|██        | 37/182 [00:46<03:03,  1.27s/it]
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Epoch 14, training loss 0.132:  21%|██▏       | 39/182 [00:49<03:00,  1.26s/it]
Epoch 14, training loss 0.132:  22%|██▏       | 40/182 [00:49<02:56,  1.24s/it]
Epoch 14, training loss 0.133:  22%|██▏       | 40/182 [00:50<02:58,  1.26s/it]
Epoch 14, training loss 0.133:  23%|██▎       | 41/182 [00:50<02:54,  1.24s/it]
Epoch 14, training loss 0.137:  23%|██▎       | 41/182 [00:51<02:56,  1.25s/it]
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Epoch 14, training loss 0.137:  25%|██▍       | 45/182 [00:55<02:48,  1.23s/it]
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Epoch 14, training loss 0.137:  25%|██▌       | 46/182 [00:57<02:49,  1.24s/it]
Epoch 14, training loss 0.137:  26%|██▌       | 47/182 [00:57<02:45,  1.23s/it]
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Epoch 14, training loss 0.137:  27%|██▋       | 49/182 [01:00<02:42,  1.22s/it]
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Epoch 14, training loss 0.133:  27%|██▋       | 50/182 [01:01<02:42,  1.23s/it]
Epoch 14, training loss 0.133:  28%|██▊       | 51/182 [01:02<02:39,  1.22s/it]
Epoch 14, training loss 0.132:  28%|██▊       | 51/182 [01:02<02:41,  1.23s/it]
Epoch 14, training loss 0.132:  29%|██▊       | 52/182 [01:03<02:38,  1.22s/it]
Epoch 14, training loss 0.132:  29%|██▊       | 52/182 [01:04<02:40,  1.23s/it]
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Epoch 14, training loss 0.133:  30%|██▉       | 54/182 [01:05<02:35,  1.22s/it]
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Epoch 14, training loss 0.132:  31%|███       | 56/182 [01:07<02:32,  1.21s/it]
Epoch 14, training loss 0.130:  31%|███       | 56/182 [01:08<02:34,  1.22s/it]
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Epoch 14, training loss 0.129:  32%|███▏      | 58/182 [01:10<02:29,  1.21s/it]
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Epoch 14, training loss 0.126:  32%|███▏      | 59/182 [01:11<02:29,  1.22s/it]
Epoch 14, training loss 0.126:  33%|███▎      | 60/182 [01:12<02:26,  1.20s/it]
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Epoch 14, training loss 0.126:  34%|███▍      | 62/182 [01:14<02:24,  1.20s/it]
Epoch 14, training loss 0.125:  34%|███▍      | 62/182 [01:15<02:25,  1.21s/it]
Epoch 14, training loss 0.125:  35%|███▍      | 63/182 [01:15<02:22,  1.20s/it]
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Epoch 14, training loss 0.125:  36%|███▌      | 65/182 [01:17<02:20,  1.20s/it]
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Epoch 14, training loss 0.124:  36%|███▋      | 66/182 [01:19<02:19,  1.20s/it]
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Epoch 14, training loss 0.139:  54%|█████▍    | 99/182 [01:56<01:38,  1.18s/it]
Epoch 14, training loss 0.138:  54%|█████▍    | 99/182 [01:57<01:38,  1.19s/it]
Epoch 14, training loss 0.138:  55%|█████▍    | 100/182 [01:58<01:36,  1.18s/it]
Epoch 14, training loss 0.138:  55%|█████▍    | 100/182 [01:58<01:37,  1.19s/it]
Epoch 14, training loss 0.138:  55%|█████▌    | 101/182 [01:59<01:35,  1.18s/it]
Epoch 14, training loss 0.138:  55%|█████▌    | 101/182 [01:59<01:36,  1.19s/it]
Epoch 14, training loss 0.138:  56%|█████▌    | 102/182 [02:00<01:34,  1.18s/it]
Epoch 14, training loss 0.138:  56%|█████▌    | 102/182 [02:00<01:34,  1.19s/it]
Epoch 14, training loss 0.138:  57%|█████▋    | 103/182 [02:01<01:33,  1.18s/it]
Epoch 14, training loss 0.137:  57%|█████▋    | 103/182 [02:01<01:33,  1.18s/it]
Epoch 14, training loss 0.137:  57%|█████▋    | 104/182 [02:02<01:31,  1.18s/it]
Epoch 14, training loss 0.136:  57%|█████▋    | 104/182 [02:03<01:32,  1.18s/it]
Epoch 14, training loss 0.136:  58%|█████▊    | 105/182 [02:03<01:30,  1.18s/it]
Epoch 14, training loss 0.136:  58%|█████▊    | 105/182 [02:04<01:31,  1.18s/it]
Epoch 14, training loss 0.136:  58%|█████▊    | 106/182 [02:04<01:29,  1.18s/it]
Epoch 14, training loss 0.135:  58%|█████▊    | 106/182 [02:05<01:29,  1.18s/it]
Epoch 14, training loss 0.135:  59%|█████▉    | 107/182 [02:05<01:28,  1.18s/it]
Epoch 14, training loss 0.134:  59%|█████▉    | 107/182 [02:06<01:28,  1.18s/it]
Epoch 14, training loss 0.134:  59%|█████▉    | 108/182 [02:07<01:27,  1.18s/it]
Epoch 14, training loss 0.134:  59%|█████▉    | 108/182 [02:07<01:27,  1.18s/it]
Epoch 14, training loss 0.134:  60%|█████▉    | 109/182 [02:08<01:25,  1.18s/it]
Epoch 14, training loss 0.135:  60%|█████▉    | 109/182 [02:08<01:26,  1.18s/it]
Epoch 14, training loss 0.135:  60%|██████    | 110/182 [02:09<01:24,  1.18s/it]
Epoch 14, training loss 0.135:  60%|██████    | 110/182 [02:09<01:25,  1.18s/it]
Epoch 14, training loss 0.135:  61%|██████    | 111/182 [02:10<01:23,  1.18s/it]
Epoch 14, training loss 0.135:  61%|██████    | 111/182 [02:11<01:23,  1.18s/it]
Epoch 14, training loss 0.135:  62%|██████▏   | 112/182 [02:11<01:22,  1.18s/it]
Epoch 14, training loss 0.136:  62%|██████▏   | 112/182 [02:12<01:22,  1.18s/it]
Epoch 14, training loss 0.136:  62%|██████▏   | 113/182 [02:12<01:21,  1.18s/it]
Epoch 14, training loss 0.136:  62%|██████▏   | 113/182 [02:13<01:21,  1.18s/it]
Epoch 14, training loss 0.136:  63%|██████▎   | 114/182 [02:13<01:19,  1.18s/it]
Epoch 14, training loss 0.135:  63%|██████▎   | 114/182 [02:14<01:20,  1.18s/it]
Epoch 14, training loss 0.135:  63%|██████▎   | 115/182 [02:15<01:18,  1.17s/it]
Epoch 14, training loss 0.135:  63%|██████▎   | 115/182 [02:15<01:19,  1.18s/it]
Epoch 14, training loss 0.135:  64%|██████▎   | 116/182 [02:16<01:17,  1.17s/it]
Epoch 14, training loss 0.136:  64%|██████▎   | 116/182 [02:16<01:17,  1.18s/it]
Epoch 14, training loss 0.136:  64%|██████▍   | 117/182 [02:17<01:16,  1.17s/it]
Epoch 14, training loss 0.136:  64%|██████▍   | 117/182 [02:17<01:16,  1.18s/it]
Epoch 14, training loss 0.136:  65%|██████▍   | 118/182 [02:18<01:15,  1.17s/it]
Epoch 14, training loss 0.136:  65%|██████▍   | 118/182 [02:19<01:15,  1.18s/it]
Epoch 14, training loss 0.136:  65%|██████▌   | 119/182 [02:19<01:13,  1.17s/it]
Epoch 14, training loss 0.136:  65%|██████▌   | 119/182 [02:20<01:14,  1.18s/it]
Epoch 14, training loss 0.136:  66%|██████▌   | 120/182 [02:20<01:12,  1.17s/it]
Epoch 14, training loss 0.138:  66%|██████▌   | 120/182 [02:21<01:13,  1.18s/it]
Epoch 14, training loss 0.138:  66%|██████▋   | 121/182 [02:21<01:11,  1.17s/it]
Epoch 14, training loss 0.139:  66%|██████▋   | 121/182 [02:22<01:11,  1.18s/it]
Epoch 14, training loss 0.139:  67%|██████▋   | 122/182 [02:23<01:10,  1.17s/it]
Epoch 14, training loss 0.139:  67%|██████▋   | 122/182 [02:23<01:10,  1.18s/it]
Epoch 14, training loss 0.139:  68%|██████▊   | 123/182 [02:24<01:09,  1.17s/it]
Epoch 14, training loss 0.138:  68%|██████▊   | 123/182 [02:24<01:09,  1.18s/it]
Epoch 14, training loss 0.138:  68%|██████▊   | 124/182 [02:25<01:08,  1.17s/it]
Epoch 14, training loss 0.140:  68%|██████▊   | 124/182 [02:26<01:08,  1.18s/it]
Epoch 14, training loss 0.140:  69%|██████▊   | 125/182 [02:26<01:06,  1.17s/it]
Epoch 14, training loss 0.141:  69%|██████▊   | 125/182 [02:27<01:07,  1.18s/it]
Epoch 14, training loss 0.141:  69%|██████▉   | 126/182 [02:27<01:05,  1.17s/it]
Epoch 14, training loss 0.143:  69%|██████▉   | 126/182 [02:28<01:05,  1.18s/it]
Epoch 14, training loss 0.143:  70%|██████▉   | 127/182 [02:28<01:04,  1.17s/it]
Epoch 14, training loss 0.142:  70%|██████▉   | 127/182 [02:29<01:04,  1.18s/it]
Epoch 14, training loss 0.142:  70%|███████   | 128/182 [02:30<01:03,  1.17s/it]
Epoch 14, training loss 0.142:  70%|███████   | 128/182 [02:30<01:03,  1.18s/it]
Epoch 14, training loss 0.142:  71%|███████   | 129/182 [02:31<01:02,  1.17s/it]
Epoch 14, training loss 0.141:  71%|███████   | 129/182 [02:31<01:02,  1.18s/it]
Epoch 14, training loss 0.141:  71%|███████▏  | 130/182 [02:32<01:00,  1.17s/it]
Epoch 14, training loss 0.140:  71%|███████▏  | 130/182 [02:32<01:01,  1.18s/it]
Epoch 14, training loss 0.140:  72%|███████▏  | 131/182 [02:33<00:59,  1.17s/it]
Epoch 14, training loss 0.139:  72%|███████▏  | 131/182 [02:34<01:00,  1.18s/it]
Epoch 14, training loss 0.139:  73%|███████▎  | 132/182 [02:34<00:58,  1.17s/it]
Epoch 14, training loss 0.139:  73%|███████▎  | 132/182 [02:35<00:58,  1.18s/it]
Epoch 14, training loss 0.139:  73%|███████▎  | 133/182 [02:35<00:57,  1.17s/it]
Epoch 14, training loss 0.140:  73%|███████▎  | 133/182 [02:36<00:57,  1.18s/it]
Epoch 14, training loss 0.140:  74%|███████▎  | 134/182 [02:36<00:56,  1.17s/it]
Epoch 14, training loss 0.140:  74%|███████▎  | 134/182 [02:37<00:56,  1.18s/it]
Epoch 14, training loss 0.140:  74%|███████▍  | 135/182 [02:38<00:55,  1.17s/it]
Epoch 14, training loss 0.140:  74%|███████▍  | 135/182 [02:38<00:55,  1.18s/it]
Epoch 14, training loss 0.140:  75%|███████▍  | 136/182 [02:39<00:53,  1.17s/it]
Epoch 14, training loss 0.140:  75%|███████▍  | 136/182 [02:39<00:54,  1.17s/it]
Epoch 14, training loss 0.140:  75%|███████▌  | 137/182 [02:40<00:52,  1.17s/it]
Epoch 14, training loss 0.139:  75%|███████▌  | 137/182 [02:40<00:52,  1.18s/it]
Epoch 14, training loss 0.139:  76%|███████▌  | 138/182 [02:41<00:51,  1.17s/it]
Epoch 14, training loss 0.139:  76%|███████▌  | 138/182 [02:42<00:51,  1.17s/it]
Epoch 14, training loss 0.139:  76%|███████▋  | 139/182 [02:42<00:50,  1.17s/it]
Epoch 14, training loss 0.139:  76%|███████▋  | 139/182 [02:43<00:50,  1.17s/it]
Epoch 14, training loss 0.139:  77%|███████▋  | 140/182 [02:43<00:49,  1.17s/it]
Epoch 14, training loss 0.138:  77%|███████▋  | 140/182 [02:44<00:49,  1.17s/it]
Epoch 14, training loss 0.138:  77%|███████▋  | 141/182 [02:44<00:47,  1.17s/it]
Epoch 14, training loss 0.138:  77%|███████▋  | 141/182 [02:45<00:48,  1.17s/it]
Epoch 14, training loss 0.138:  78%|███████▊  | 142/182 [02:46<00:46,  1.17s/it]
Epoch 14, training loss 0.138:  78%|███████▊  | 142/182 [02:46<00:46,  1.17s/it]
Epoch 14, training loss 0.138:  79%|███████▊  | 143/182 [02:47<00:45,  1.17s/it]
Epoch 14, training loss 0.139:  79%|███████▊  | 143/182 [02:47<00:45,  1.17s/it]
Epoch 14, training loss 0.139:  79%|███████▉  | 144/182 [02:48<00:44,  1.17s/it]
Epoch 14, training loss 0.138:  79%|███████▉  | 144/182 [02:48<00:44,  1.17s/it]
Epoch 14, training loss 0.138:  80%|███████▉  | 145/182 [02:49<00:43,  1.17s/it]
Epoch 14, training loss 0.138:  80%|███████▉  | 145/182 [02:49<00:43,  1.17s/it]
Epoch 14, training loss 0.138:  80%|████████  | 146/182 [02:50<00:42,  1.17s/it]
Epoch 14, training loss 0.138:  80%|████████  | 146/182 [02:51<00:42,  1.17s/it]
Epoch 14, training loss 0.138:  81%|████████  | 147/182 [02:51<00:40,  1.17s/it]
Epoch 14, training loss 0.137:  81%|████████  | 147/182 [02:52<00:41,  1.17s/it]
Epoch 14, training loss 0.137:  81%|████████▏ | 148/182 [02:52<00:39,  1.17s/it]
Epoch 14, training loss 0.136:  81%|████████▏ | 148/182 [02:53<00:39,  1.17s/it]
Epoch 14, training loss 0.136:  82%|████████▏ | 149/182 [02:53<00:38,  1.17s/it]
Epoch 14, training loss 0.137:  82%|████████▏ | 149/182 [02:54<00:38,  1.17s/it]
Epoch 14, training loss 0.137:  82%|████████▏ | 150/182 [02:54<00:37,  1.17s/it]
Epoch 14, training loss 0.136:  82%|████████▏ | 150/182 [02:55<00:37,  1.17s/it]
Epoch 14, training loss 0.136:  83%|████████▎ | 151/182 [02:56<00:36,  1.17s/it]
Epoch 14, training loss 0.137:  83%|████████▎ | 151/182 [02:56<00:36,  1.17s/it]
Epoch 14, training loss 0.137:  84%|████████▎ | 152/182 [02:57<00:34,  1.17s/it]
Epoch 14, training loss 0.137:  84%|████████▎ | 152/182 [02:57<00:35,  1.17s/it]
Epoch 14, training loss 0.137:  84%|████████▍ | 153/182 [02:58<00:33,  1.17s/it]
Epoch 14, training loss 0.137:  84%|████████▍ | 153/182 [02:59<00:33,  1.17s/it]
Epoch 14, training loss 0.137:  85%|████████▍ | 154/182 [02:59<00:32,  1.17s/it]
Epoch 14, training loss 0.137:  85%|████████▍ | 154/182 [03:00<00:32,  1.17s/it]
Epoch 14, training loss 0.137:  85%|████████▌ | 155/182 [03:00<00:31,  1.17s/it]
Epoch 14, training loss 0.136:  85%|████████▌ | 155/182 [03:01<00:31,  1.17s/it]
Epoch 14, training loss 0.136:  86%|████████▌ | 156/182 [03:01<00:30,  1.17s/it]
Epoch 14, training loss 0.136:  86%|████████▌ | 156/182 [03:02<00:30,  1.17s/it]
Epoch 14, training loss 0.136:  86%|████████▋ | 157/182 [03:02<00:29,  1.16s/it]
Epoch 14, training loss 0.136:  86%|████████▋ | 157/182 [03:03<00:29,  1.17s/it]
Epoch 14, training loss 0.136:  87%|████████▋ | 158/182 [03:04<00:27,  1.16s/it]
Epoch 14, training loss 0.136:  87%|████████▋ | 158/182 [03:04<00:28,  1.17s/it]
Epoch 14, training loss 0.136:  87%|████████▋ | 159/182 [03:05<00:26,  1.16s/it]
Epoch 14, training loss 0.136:  87%|████████▋ | 159/182 [03:05<00:26,  1.17s/it]
Epoch 14, training loss 0.136:  88%|████████▊ | 160/182 [03:06<00:25,  1.16s/it]
Epoch 14, training loss 0.136:  88%|████████▊ | 160/182 [03:06<00:25,  1.17s/it]
Epoch 14, training loss 0.136:  88%|████████▊ | 161/182 [03:07<00:24,  1.16s/it]
Epoch 14, training loss 0.136:  88%|████████▊ | 161/182 [03:07<00:24,  1.17s/it]
Epoch 14, training loss 0.136:  89%|████████▉ | 162/182 [03:08<00:23,  1.16s/it]
Epoch 14, training loss 0.136:  89%|████████▉ | 162/182 [03:09<00:23,  1.17s/it]
Epoch 14, training loss 0.136:  90%|████████▉ | 163/182 [03:09<00:22,  1.16s/it]
Epoch 14, training loss 0.137:  90%|████████▉ | 163/182 [03:10<00:22,  1.17s/it]
Epoch 14, training loss 0.137:  90%|█████████ | 164/182 [03:10<00:20,  1.16s/it]
Epoch 14, training loss 0.137:  90%|█████████ | 164/182 [03:11<00:21,  1.17s/it]
Epoch 14, training loss 0.137:  91%|█████████ | 165/182 [03:11<00:19,  1.16s/it]
Epoch 14, training loss 0.138:  91%|█████████ | 165/182 [03:12<00:19,  1.17s/it]
Epoch 14, training loss 0.138:  91%|█████████ | 166/182 [03:13<00:18,  1.16s/it]
Epoch 14, training loss 0.137:  91%|█████████ | 166/182 [03:13<00:18,  1.17s/it]
Epoch 14, training loss 0.137:  92%|█████████▏| 167/182 [03:14<00:17,  1.16s/it]
Epoch 14, training loss 0.137:  92%|█████████▏| 167/182 [03:14<00:17,  1.17s/it]
Epoch 14, training loss 0.137:  92%|█████████▏| 168/182 [03:15<00:16,  1.16s/it]
Epoch 14, training loss 0.137:  92%|█████████▏| 168/182 [03:15<00:16,  1.17s/it]
Epoch 14, training loss 0.137:  93%|█████████▎| 169/182 [03:16<00:15,  1.16s/it]
Epoch 14, training loss 0.138:  93%|█████████▎| 169/182 [03:17<00:15,  1.17s/it]
Epoch 14, training loss 0.138:  93%|█████████▎| 170/182 [03:17<00:13,  1.16s/it]
Epoch 14, training loss 0.138:  93%|█████████▎| 170/182 [03:18<00:13,  1.17s/it]
Epoch 14, training loss 0.138:  94%|█████████▍| 171/182 [03:18<00:12,  1.16s/it]
Epoch 14, training loss 0.138:  94%|█████████▍| 171/182 [03:19<00:12,  1.17s/it]
Epoch 14, training loss 0.138:  95%|█████████▍| 172/182 [03:19<00:11,  1.16s/it]
Epoch 14, training loss 0.137:  95%|█████████▍| 172/182 [03:20<00:11,  1.16s/it]
Epoch 14, training loss 0.137:  95%|█████████▌| 173/182 [03:20<00:10,  1.16s/it]
Epoch 14, training loss 0.138:  95%|█████████▌| 173/182 [03:21<00:10,  1.16s/it]
Epoch 14, training loss 0.138:  96%|█████████▌| 174/182 [03:21<00:09,  1.16s/it]
Epoch 14, training loss 0.139:  96%|█████████▌| 174/182 [03:22<00:09,  1.16s/it]
Epoch 14, training loss 0.139:  96%|█████████▌| 175/182 [03:23<00:08,  1.16s/it]
Epoch 14, training loss 0.139:  96%|█████████▌| 175/182 [03:23<00:08,  1.16s/it]
Epoch 14, training loss 0.139:  97%|█████████▋| 176/182 [03:24<00:06,  1.16s/it]
Epoch 14, training loss 0.139:  97%|█████████▋| 176/182 [03:24<00:06,  1.16s/it]
Epoch 14, training loss 0.139:  97%|█████████▋| 177/182 [03:25<00:05,  1.16s/it]
Epoch 14, training loss 0.140:  97%|█████████▋| 177/182 [03:25<00:05,  1.16s/it]
Epoch 14, training loss 0.140:  98%|█████████▊| 178/182 [03:26<00:04,  1.16s/it]
Epoch 14, training loss 0.139:  98%|█████████▊| 178/182 [03:27<00:04,  1.16s/it]
Epoch 14, training loss 0.139:  98%|█████████▊| 179/182 [03:27<00:03,  1.16s/it]
Epoch 14, training loss 0.139:  98%|█████████▊| 179/182 [03:28<00:03,  1.16s/it]
Epoch 14, training loss 0.139:  99%|█████████▉| 180/182 [03:28<00:02,  1.16s/it]
Epoch 14, training loss 0.140:  99%|█████████▉| 180/182 [03:29<00:02,  1.16s/it]
Epoch 14, training loss 0.140:  99%|█████████▉| 181/182 [03:29<00:01,  1.16s/it]
Epoch 14, training loss 0.140:  99%|█████████▉| 181/182 [03:30<00:01,  1.16s/it]
Epoch 14, training loss 0.140: 100%|██████████| 182/182 [03:30<00:00,  1.16s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 14, validation pixAcc: 0.969, mIoU: 0.647:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 14, validation pixAcc: 0.969, mIoU: 0.647:   1%|          | 1/91 [00:04<06:58,  4.65s/it]
Epoch 14, validation pixAcc: 0.972, mIoU: 0.804:   1%|          | 1/91 [00:05<07:41,  5.13s/it]
Epoch 14, validation pixAcc: 0.972, mIoU: 0.804:   2%|▏         | 2/91 [00:05<03:48,  2.56s/it]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.830:   2%|▏         | 2/91 [00:05<04:07,  2.78s/it]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.830:   3%|▎         | 3/91 [00:05<02:42,  1.85s/it]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.829:   3%|▎         | 3/91 [00:05<02:54,  1.98s/it]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.829:   4%|▍         | 4/91 [00:05<02:09,  1.49s/it]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.878:   4%|▍         | 4/91 [00:06<02:18,  1.59s/it]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.878:   5%|▌         | 5/91 [00:06<01:49,  1.27s/it]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.891:   5%|▌         | 5/91 [00:06<01:57,  1.36s/it]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.891:   7%|▋         | 6/91 [00:06<01:36,  1.14s/it]
Epoch 14, validation pixAcc: 0.973, mIoU: 0.888:   7%|▋         | 6/91 [00:07<01:42,  1.21s/it]
Epoch 14, validation pixAcc: 0.973, mIoU: 0.888:   8%|▊         | 7/91 [00:07<01:26,  1.04s/it]
Epoch 14, validation pixAcc: 0.973, mIoU: 0.885:   8%|▊         | 7/91 [00:07<01:32,  1.10s/it]
Epoch 14, validation pixAcc: 0.973, mIoU: 0.885:   9%|▉         | 8/91 [00:07<01:19,  1.04it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.891:   9%|▉         | 8/91 [00:08<01:24,  1.02s/it]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.891:  10%|▉         | 9/91 [00:08<01:14,  1.10it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.892:  10%|▉         | 9/91 [00:08<01:18,  1.04it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.892:  11%|█         | 10/91 [00:08<01:09,  1.16it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.895:  11%|█         | 10/91 [00:09<01:13,  1.10it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.895:  12%|█▏        | 11/91 [00:09<01:05,  1.21it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.892:  12%|█▏        | 11/91 [00:09<01:09,  1.16it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.892:  13%|█▎        | 12/91 [00:09<01:02,  1.26it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.890:  13%|█▎        | 12/91 [00:09<01:05,  1.20it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.890:  14%|█▍        | 13/91 [00:09<00:59,  1.30it/s]
Epoch 14, validation pixAcc: 0.976, mIoU: 0.897:  14%|█▍        | 13/91 [00:10<01:02,  1.25it/s]
Epoch 14, validation pixAcc: 0.976, mIoU: 0.897:  15%|█▌        | 14/91 [00:10<00:57,  1.34it/s]
Epoch 14, validation pixAcc: 0.976, mIoU: 0.897:  15%|█▌        | 14/91 [00:10<00:59,  1.28it/s]
Epoch 14, validation pixAcc: 0.976, mIoU: 0.897:  16%|█▋        | 15/91 [00:10<00:55,  1.38it/s]
Epoch 14, validation pixAcc: 0.976, mIoU: 0.900:  16%|█▋        | 15/91 [00:11<00:57,  1.32it/s]
Epoch 14, validation pixAcc: 0.976, mIoU: 0.900:  18%|█▊        | 16/91 [00:11<00:53,  1.41it/s]
Epoch 14, validation pixAcc: 0.976, mIoU: 0.902:  18%|█▊        | 16/91 [00:11<00:55,  1.36it/s]
Epoch 14, validation pixAcc: 0.976, mIoU: 0.902:  19%|█▊        | 17/91 [00:11<00:51,  1.44it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.898:  19%|█▊        | 17/91 [00:12<00:53,  1.39it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.898:  20%|█▉        | 18/91 [00:12<00:49,  1.47it/s]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.894:  20%|█▉        | 18/91 [00:12<00:51,  1.41it/s]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.894:  21%|██        | 19/91 [00:12<00:48,  1.49it/s]
Epoch 14, validation pixAcc: 0.973, mIoU: 0.890:  21%|██        | 19/91 [00:13<00:49,  1.45it/s]
Epoch 14, validation pixAcc: 0.973, mIoU: 0.890:  22%|██▏       | 20/91 [00:13<00:46,  1.52it/s]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.890:  22%|██▏       | 20/91 [00:13<00:48,  1.48it/s]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.890:  23%|██▎       | 21/91 [00:13<00:45,  1.55it/s]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.891:  23%|██▎       | 21/91 [00:13<00:46,  1.50it/s]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.891:  24%|██▍       | 22/91 [00:13<00:43,  1.57it/s]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.892:  24%|██▍       | 22/91 [00:14<00:45,  1.52it/s]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.892:  25%|██▌       | 23/91 [00:14<00:42,  1.59it/s]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.892:  25%|██▌       | 23/91 [00:14<00:43,  1.55it/s]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.892:  26%|██▋       | 24/91 [00:14<00:41,  1.61it/s]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.892:  26%|██▋       | 24/91 [00:15<00:42,  1.57it/s]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.892:  27%|██▋       | 25/91 [00:15<00:40,  1.63it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.894:  27%|██▋       | 25/91 [00:15<00:41,  1.59it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.894:  29%|██▊       | 26/91 [00:15<00:39,  1.65it/s]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.894:  29%|██▊       | 26/91 [00:16<00:40,  1.61it/s]
Epoch 14, validation pixAcc: 0.974, mIoU: 0.894:  30%|██▉       | 27/91 [00:16<00:38,  1.67it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.898:  30%|██▉       | 27/91 [00:16<00:39,  1.63it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.898:  31%|███       | 28/91 [00:16<00:37,  1.69it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.899:  31%|███       | 28/91 [00:17<00:38,  1.65it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.899:  32%|███▏      | 29/91 [00:17<00:36,  1.70it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.899:  32%|███▏      | 29/91 [00:17<00:37,  1.66it/s]
Epoch 14, validation pixAcc: 0.975, mIoU: 0.899:  33%|███▎      | 30/91 [00:17<00:35,  1.72it/s]
Epoch 14, validation pixAcc: 0.976, mIoU: 0.900:  33%|███▎      | 30/91 [00:17<00:36,  1.68it/s]
Epoch 14, validation pixAcc: 0.976, mIoU: 0.900:  34%|███▍      | 31/91 [00:17<00:34,  1.74it/s]
Epoch 14, validation pixAcc: 0.976, mIoU: 0.902:  34%|███▍      | 31/91 [00:18<00:35,  1.69it/s]
Epoch 14, validation pixAcc: 0.976, mIoU: 0.902:  35%|███▌      | 32/91 [00:18<00:33,  1.75it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.904:  35%|███▌      | 32/91 [00:18<00:34,  1.71it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.904:  36%|███▋      | 33/91 [00:18<00:32,  1.76it/s]
Epoch 14, validation pixAcc: 0.976, mIoU: 0.904:  36%|███▋      | 33/91 [00:19<00:33,  1.72it/s]
Epoch 14, validation pixAcc: 0.976, mIoU: 0.904:  37%|███▋      | 34/91 [00:19<00:32,  1.77it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.905:  37%|███▋      | 34/91 [00:19<00:32,  1.73it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.905:  38%|███▊      | 35/91 [00:19<00:31,  1.78it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.905:  38%|███▊      | 35/91 [00:20<00:32,  1.75it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.905:  40%|███▉      | 36/91 [00:20<00:30,  1.80it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.905:  40%|███▉      | 36/91 [00:20<00:31,  1.76it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.905:  41%|████      | 37/91 [00:20<00:29,  1.81it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.906:  41%|████      | 37/91 [00:20<00:30,  1.77it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.906:  42%|████▏     | 38/91 [00:20<00:29,  1.82it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.906:  42%|████▏     | 38/91 [00:21<00:29,  1.78it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.906:  43%|████▎     | 39/91 [00:21<00:28,  1.83it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.906:  43%|████▎     | 39/91 [00:21<00:28,  1.79it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.906:  44%|████▍     | 40/91 [00:21<00:27,  1.84it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.907:  44%|████▍     | 40/91 [00:22<00:28,  1.80it/s]
Epoch 14, validation pixAcc: 0.977, mIoU: 0.907:  45%|████▌     | 41/91 [00:22<00:27,  1.85it/s]
Epoch 14, validation pixAcc: 0.978, mIoU: 0.907:  45%|████▌     | 41/91 [00:22<00:27,  1.82it/s]
Epoch 14, validation pixAcc: 0.978, mIoU: 0.907:  46%|████▌     | 42/91 [00:22<00:26,  1.86it/s]
Epoch 14, validation pixAcc: 0.978, mIoU: 0.907:  46%|████▌     | 42/91 [00:23<00:26,  1.82it/s]
Epoch 14, validation pixAcc: 0.978, mIoU: 0.907:  47%|████▋     | 43/91 [00:23<00:25,  1.87it/s]
Epoch 14, validation pixAcc: 0.978, mIoU: 0.908:  47%|████▋     | 43/91 [00:23<00:26,  1.83it/s]
Epoch 14, validation pixAcc: 0.978, mIoU: 0.908:  48%|████▊     | 44/91 [00:23<00:25,  1.88it/s]
Epoch 14, validation pixAcc: 0.978, mIoU: 0.909:  48%|████▊     | 44/91 [00:23<00:25,  1.84it/s]
Epoch 14, validation pixAcc: 0.978, mIoU: 0.909:  49%|████▉     | 45/91 [00:23<00:24,  1.89it/s]
Epoch 14, validation pixAcc: 0.978, mIoU: 0.909:  49%|████▉     | 45/91 [00:24<00:24,  1.86it/s]
Epoch 14, validation pixAcc: 0.978, mIoU: 0.909:  51%|█████     | 46/91 [00:24<00:23,  1.90it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.909:  51%|█████     | 46/91 [00:24<00:24,  1.86it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.909:  52%|█████▏    | 47/91 [00:24<00:23,  1.90it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.910:  52%|█████▏    | 47/91 [00:25<00:23,  1.87it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.910:  53%|█████▎    | 48/91 [00:25<00:22,  1.91it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.909:  53%|█████▎    | 48/91 [00:25<00:22,  1.88it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.909:  54%|█████▍    | 49/91 [00:25<00:21,  1.92it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.909:  54%|█████▍    | 49/91 [00:25<00:22,  1.89it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.909:  55%|█████▍    | 50/91 [00:25<00:21,  1.93it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.909:  55%|█████▍    | 50/91 [00:26<00:21,  1.90it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.909:  56%|█████▌    | 51/91 [00:26<00:20,  1.94it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.910:  56%|█████▌    | 51/91 [00:26<00:20,  1.91it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.910:  57%|█████▋    | 52/91 [00:26<00:20,  1.94it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.910:  57%|█████▋    | 52/91 [00:27<00:20,  1.91it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.910:  58%|█████▊    | 53/91 [00:27<00:19,  1.95it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.910:  58%|█████▊    | 53/91 [00:27<00:19,  1.92it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.910:  59%|█████▉    | 54/91 [00:27<00:18,  1.96it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.910:  59%|█████▉    | 54/91 [00:28<00:19,  1.93it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.910:  60%|██████    | 55/91 [00:28<00:18,  1.96it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.911:  60%|██████    | 55/91 [00:28<00:18,  1.93it/s]
Epoch 14, validation pixAcc: 0.979, mIoU: 0.911:  62%|██████▏   | 56/91 [00:28<00:17,  1.97it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.911:  62%|██████▏   | 56/91 [00:28<00:18,  1.94it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.911:  63%|██████▎   | 57/91 [00:28<00:17,  1.97it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.911:  63%|██████▎   | 57/91 [00:29<00:17,  1.94it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.911:  64%|██████▎   | 58/91 [00:29<00:16,  1.98it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.911:  64%|██████▎   | 58/91 [00:29<00:16,  1.95it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.911:  65%|██████▍   | 59/91 [00:29<00:16,  1.98it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.911:  65%|██████▍   | 59/91 [00:30<00:16,  1.95it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.911:  66%|██████▌   | 60/91 [00:30<00:15,  1.98it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.912:  66%|██████▌   | 60/91 [00:30<00:15,  1.96it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.912:  67%|██████▋   | 61/91 [00:30<00:15,  1.99it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.912:  67%|██████▋   | 61/91 [00:31<00:15,  1.96it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.912:  68%|██████▊   | 62/91 [00:31<00:14,  1.99it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.913:  68%|██████▊   | 62/91 [00:31<00:14,  1.96it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.913:  69%|██████▉   | 63/91 [00:31<00:14,  2.00it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.913:  69%|██████▉   | 63/91 [00:32<00:14,  1.97it/s]
Epoch 14, validation pixAcc: 0.980, mIoU: 0.913:  70%|███████   | 64/91 [00:32<00:13,  2.00it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.914:  70%|███████   | 64/91 [00:32<00:13,  1.97it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.914:  71%|███████▏  | 65/91 [00:32<00:12,  2.00it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.914:  71%|███████▏  | 65/91 [00:32<00:13,  1.98it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.914:  73%|███████▎  | 66/91 [00:32<00:12,  2.01it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.914:  73%|███████▎  | 66/91 [00:33<00:12,  1.99it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.914:  74%|███████▎  | 67/91 [00:33<00:11,  2.02it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.914:  74%|███████▎  | 67/91 [00:33<00:12,  1.99it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.914:  75%|███████▍  | 68/91 [00:33<00:11,  2.02it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.914:  75%|███████▍  | 68/91 [00:34<00:11,  2.00it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.914:  76%|███████▌  | 69/91 [00:34<00:10,  2.03it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.915:  76%|███████▌  | 69/91 [00:34<00:10,  2.00it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.915:  77%|███████▋  | 70/91 [00:34<00:10,  2.03it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.915:  77%|███████▋  | 70/91 [00:34<00:10,  2.01it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.915:  78%|███████▊  | 71/91 [00:34<00:09,  2.04it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.915:  78%|███████▊  | 71/91 [00:35<00:09,  2.01it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.915:  79%|███████▉  | 72/91 [00:35<00:09,  2.04it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.915:  79%|███████▉  | 72/91 [00:35<00:09,  2.02it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.915:  80%|████████  | 73/91 [00:35<00:08,  2.05it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.915:  80%|████████  | 73/91 [00:36<00:08,  2.02it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.915:  81%|████████▏ | 74/91 [00:36<00:08,  2.05it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.916:  81%|████████▏ | 74/91 [00:36<00:08,  2.03it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.916:  82%|████████▏ | 75/91 [00:36<00:07,  2.05it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.916:  82%|████████▏ | 75/91 [00:36<00:07,  2.03it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.916:  84%|████████▎ | 76/91 [00:36<00:07,  2.06it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.916:  84%|████████▎ | 76/91 [00:37<00:07,  2.03it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.916:  85%|████████▍ | 77/91 [00:37<00:06,  2.06it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.916:  85%|████████▍ | 77/91 [00:37<00:06,  2.04it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.916:  86%|████████▌ | 78/91 [00:37<00:06,  2.06it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.916:  86%|████████▌ | 78/91 [00:38<00:06,  2.04it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.916:  87%|████████▋ | 79/91 [00:38<00:05,  2.07it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.917:  87%|████████▋ | 79/91 [00:38<00:05,  2.04it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.917:  88%|████████▊ | 80/91 [00:38<00:05,  2.07it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.917:  88%|████████▊ | 80/91 [00:39<00:05,  2.05it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.917:  89%|████████▉ | 81/91 [00:39<00:04,  2.07it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  89%|████████▉ | 81/91 [00:39<00:04,  2.06it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  90%|█████████ | 82/91 [00:39<00:04,  2.08it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  90%|█████████ | 82/91 [00:39<00:04,  2.06it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  91%|█████████ | 83/91 [00:39<00:03,  2.08it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  91%|█████████ | 83/91 [00:40<00:03,  2.06it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  92%|█████████▏| 84/91 [00:40<00:03,  2.09it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  92%|█████████▏| 84/91 [00:40<00:03,  2.07it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  93%|█████████▎| 85/91 [00:40<00:02,  2.09it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  93%|█████████▎| 85/91 [00:41<00:02,  2.07it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  95%|█████████▍| 86/91 [00:41<00:02,  2.09it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  95%|█████████▍| 86/91 [00:41<00:02,  2.07it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  96%|█████████▌| 87/91 [00:41<00:01,  2.10it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  96%|█████████▌| 87/91 [00:41<00:01,  2.08it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  97%|█████████▋| 88/91 [00:41<00:01,  2.10it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  97%|█████████▋| 88/91 [00:42<00:01,  2.08it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  98%|█████████▊| 89/91 [00:42<00:00,  2.11it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  98%|█████████▊| 89/91 [00:42<00:00,  2.09it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.918:  99%|█████████▉| 90/91 [00:42<00:00,  2.11it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.917:  99%|█████████▉| 90/91 [00:43<00:00,  2.09it/s]
Epoch 14, validation pixAcc: 0.981, mIoU: 0.917: 100%|██████████| 91/91 [00:43<00:00,  2.11it/s]

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Epoch 15, training loss 0.065:   0%|          | 0/183 [00:04<?, ?it/s]
Epoch 15, training loss 0.065:   1%|          | 1/183 [00:05<15:10,  5.01s/it]
Epoch 15, training loss 0.212:   1%|          | 1/183 [00:05<17:38,  5.82s/it]
Epoch 15, training loss 0.212:   1%|          | 2/183 [00:06<09:32,  3.16s/it]
Epoch 15, training loss 0.152:   1%|          | 2/183 [00:07<10:41,  3.54s/it]
Epoch 15, training loss 0.152:   2%|▏         | 3/183 [00:07<07:35,  2.53s/it]
Epoch 15, training loss 0.128:   2%|▏         | 3/183 [00:08<08:15,  2.75s/it]
Epoch 15, training loss 0.128:   2%|▏         | 4/183 [00:08<06:31,  2.19s/it]
Epoch 15, training loss 0.165:   2%|▏         | 4/183 [00:09<06:59,  2.35s/it]
Epoch 15, training loss 0.165:   3%|▎         | 5/183 [00:09<05:51,  1.97s/it]
Epoch 15, training loss 0.162:   3%|▎         | 5/183 [00:10<06:16,  2.11s/it]
Epoch 15, training loss 0.162:   3%|▎         | 6/183 [00:11<05:26,  1.84s/it]
Epoch 15, training loss 0.151:   3%|▎         | 6/183 [00:11<05:44,  1.95s/it]
Epoch 15, training loss 0.151:   4%|▍         | 7/183 [00:12<05:07,  1.74s/it]
Epoch 15, training loss 0.152:   4%|▍         | 7/183 [00:12<05:26,  1.86s/it]
Epoch 15, training loss 0.152:   4%|▍         | 8/183 [00:13<04:55,  1.69s/it]
Epoch 15, training loss 0.152:   4%|▍         | 8/183 [00:14<05:09,  1.77s/it]
Epoch 15, training loss 0.152:   5%|▍         | 9/183 [00:14<04:42,  1.62s/it]
Epoch 15, training loss 0.139:   5%|▍         | 9/183 [00:15<04:54,  1.69s/it]
Epoch 15, training loss 0.139:   5%|▌         | 10/183 [00:15<04:32,  1.57s/it]
Epoch 15, training loss 0.172:   5%|▌         | 10/183 [00:16<04:44,  1.64s/it]
Epoch 15, training loss 0.172:   6%|▌         | 11/183 [00:16<04:25,  1.54s/it]
Epoch 15, training loss 0.159:   6%|▌         | 11/183 [00:17<04:35,  1.60s/it]
Epoch 15, training loss 0.159:   7%|▋         | 12/183 [00:18<04:17,  1.51s/it]
Epoch 15, training loss 0.149:   7%|▋         | 12/183 [00:18<04:28,  1.57s/it]
Epoch 15, training loss 0.149:   7%|▋         | 13/183 [00:19<04:12,  1.49s/it]
Epoch 15, training loss 0.150:   7%|▋         | 13/183 [00:20<04:21,  1.54s/it]
Epoch 15, training loss 0.150:   8%|▊         | 14/183 [00:20<04:07,  1.46s/it]
Epoch 15, training loss 0.142:   8%|▊         | 14/183 [00:21<04:15,  1.51s/it]
Epoch 15, training loss 0.142:   8%|▊         | 15/183 [00:21<04:02,  1.44s/it]
Epoch 15, training loss 0.134:   8%|▊         | 15/183 [00:22<04:09,  1.49s/it]
Epoch 15, training loss 0.134:   9%|▊         | 16/183 [00:22<03:57,  1.42s/it]
Epoch 15, training loss 0.149:   9%|▊         | 16/183 [00:23<04:04,  1.46s/it]
Epoch 15, training loss 0.149:   9%|▉         | 17/183 [00:23<03:53,  1.40s/it]
Epoch 15, training loss 0.142:   9%|▉         | 17/183 [00:24<03:58,  1.44s/it]
Epoch 15, training loss 0.142:  10%|▉         | 18/183 [00:24<03:48,  1.39s/it]
Epoch 15, training loss 0.146:  10%|▉         | 18/183 [00:25<03:54,  1.42s/it]
Epoch 15, training loss 0.146:  10%|█         | 19/183 [00:26<03:44,  1.37s/it]
Epoch 15, training loss 0.146:  10%|█         | 19/183 [00:26<03:50,  1.41s/it]
Epoch 15, training loss 0.146:  11%|█         | 20/183 [00:27<03:41,  1.36s/it]
Epoch 15, training loss 0.148:  11%|█         | 20/183 [00:27<03:46,  1.39s/it]
Epoch 15, training loss 0.148:  11%|█▏        | 21/183 [00:28<03:38,  1.35s/it]
Epoch 15, training loss 0.145:  11%|█▏        | 21/183 [00:28<03:43,  1.38s/it]
Epoch 15, training loss 0.145:  12%|█▏        | 22/183 [00:29<03:35,  1.34s/it]
Epoch 15, training loss 0.143:  12%|█▏        | 22/183 [00:30<03:40,  1.37s/it]
Epoch 15, training loss 0.143:  13%|█▎        | 23/183 [00:30<03:32,  1.33s/it]
Epoch 15, training loss 0.140:  13%|█▎        | 23/183 [00:31<03:37,  1.36s/it]
Epoch 15, training loss 0.140:  13%|█▎        | 24/183 [00:31<03:30,  1.32s/it]
Epoch 15, training loss 0.145:  13%|█▎        | 24/183 [00:32<03:34,  1.35s/it]
Epoch 15, training loss 0.145:  14%|█▎        | 25/183 [00:32<03:28,  1.32s/it]
Epoch 15, training loss 0.142:  14%|█▎        | 25/183 [00:33<03:31,  1.34s/it]
Epoch 15, training loss 0.142:  14%|█▍        | 26/183 [00:34<03:25,  1.31s/it]
Epoch 15, training loss 0.142:  14%|█▍        | 26/183 [00:34<03:29,  1.34s/it]
Epoch 15, training loss 0.142:  15%|█▍        | 27/183 [00:35<03:23,  1.31s/it]
Epoch 15, training loss 0.139:  15%|█▍        | 27/183 [00:35<03:27,  1.33s/it]
Epoch 15, training loss 0.139:  15%|█▌        | 28/183 [00:36<03:21,  1.30s/it]
Epoch 15, training loss 0.137:  15%|█▌        | 28/183 [00:37<03:25,  1.33s/it]
Epoch 15, training loss 0.137:  16%|█▌        | 29/183 [00:37<03:20,  1.30s/it]
Epoch 15, training loss 0.134:  16%|█▌        | 29/183 [00:38<03:22,  1.32s/it]
Epoch 15, training loss 0.134:  16%|█▋        | 30/183 [00:38<03:17,  1.29s/it]
Epoch 15, training loss 0.134:  16%|█▋        | 30/183 [00:39<03:20,  1.31s/it]
Epoch 15, training loss 0.134:  17%|█▋        | 31/183 [00:39<03:15,  1.29s/it]
Epoch 15, training loss 0.152:  17%|█▋        | 31/183 [00:40<03:18,  1.31s/it]
Epoch 15, training loss 0.152:  17%|█▋        | 32/183 [00:40<03:13,  1.28s/it]
Epoch 15, training loss 0.152:  17%|█▋        | 32/183 [00:41<03:16,  1.30s/it]
Epoch 15, training loss 0.152:  18%|█▊        | 33/183 [00:42<03:11,  1.27s/it]
Epoch 15, training loss 0.149:  18%|█▊        | 33/183 [00:42<03:13,  1.29s/it]
Epoch 15, training loss 0.149:  19%|█▊        | 34/183 [00:43<03:09,  1.27s/it]
Epoch 15, training loss 0.146:  19%|█▊        | 34/183 [00:43<03:11,  1.29s/it]
Epoch 15, training loss 0.146:  19%|█▉        | 35/183 [00:44<03:07,  1.27s/it]
Epoch 15, training loss 0.144:  19%|█▉        | 35/183 [00:44<03:09,  1.28s/it]
Epoch 15, training loss 0.144:  20%|█▉        | 36/183 [00:45<03:05,  1.26s/it]
Epoch 15, training loss 0.146:  20%|█▉        | 36/183 [00:46<03:08,  1.28s/it]
Epoch 15, training loss 0.146:  20%|██        | 37/183 [00:46<03:03,  1.26s/it]
Epoch 15, training loss 0.145:  20%|██        | 37/183 [00:47<03:06,  1.28s/it]
Epoch 15, training loss 0.145:  21%|██        | 38/183 [00:47<03:02,  1.26s/it]
Epoch 15, training loss 0.143:  21%|██        | 38/183 [00:48<03:05,  1.28s/it]
Epoch 15, training loss 0.143:  21%|██▏       | 39/183 [00:48<03:00,  1.26s/it]
Epoch 15, training loss 0.140:  21%|██▏       | 39/183 [00:49<03:03,  1.27s/it]
Epoch 15, training loss 0.140:  22%|██▏       | 40/183 [00:50<02:59,  1.25s/it]
Epoch 15, training loss 0.138:  22%|██▏       | 40/183 [00:50<03:01,  1.27s/it]
Epoch 15, training loss 0.138:  22%|██▏       | 41/183 [00:51<02:57,  1.25s/it]
Epoch 15, training loss 0.135:  22%|██▏       | 41/183 [00:51<02:59,  1.26s/it]
Epoch 15, training loss 0.135:  23%|██▎       | 42/183 [00:52<02:55,  1.25s/it]
Epoch 15, training loss 0.140:  23%|██▎       | 42/183 [00:53<02:57,  1.26s/it]
Epoch 15, training loss 0.140:  23%|██▎       | 43/183 [00:53<02:54,  1.24s/it]
Epoch 15, training loss 0.140:  23%|██▎       | 43/183 [00:54<02:57,  1.26s/it]
Epoch 15, training loss 0.140:  24%|██▍       | 44/183 [00:54<02:53,  1.25s/it]
Epoch 15, training loss 0.138:  24%|██▍       | 44/183 [00:55<02:55,  1.26s/it]
Epoch 15, training loss 0.138:  25%|██▍       | 45/183 [00:56<02:51,  1.25s/it]
Epoch 15, training loss 0.141:  25%|██▍       | 45/183 [00:56<02:53,  1.26s/it]
Epoch 15, training loss 0.141:  25%|██▌       | 46/183 [00:57<02:50,  1.24s/it]
Epoch 15, training loss 0.154:  25%|██▌       | 46/183 [00:57<02:52,  1.26s/it]
Epoch 15, training loss 0.154:  26%|██▌       | 47/183 [00:58<02:48,  1.24s/it]
Epoch 15, training loss 0.153:  26%|██▌       | 47/183 [00:58<02:50,  1.26s/it]
Epoch 15, training loss 0.153:  26%|██▌       | 48/183 [00:59<02:47,  1.24s/it]
Epoch 15, training loss 0.151:  26%|██▌       | 48/183 [01:00<02:49,  1.25s/it]
Epoch 15, training loss 0.151:  27%|██▋       | 49/183 [01:00<02:45,  1.24s/it]
Epoch 15, training loss 0.151:  27%|██▋       | 49/183 [01:01<02:47,  1.25s/it]
Epoch 15, training loss 0.151:  27%|██▋       | 50/183 [01:01<02:44,  1.23s/it]
Epoch 15, training loss 0.150:  27%|██▋       | 50/183 [01:02<02:45,  1.25s/it]
Epoch 15, training loss 0.150:  28%|██▊       | 51/183 [01:02<02:42,  1.23s/it]
Epoch 15, training loss 0.152:  28%|██▊       | 51/183 [01:03<02:44,  1.24s/it]
Epoch 15, training loss 0.152:  28%|██▊       | 52/183 [01:03<02:41,  1.23s/it]
Epoch 15, training loss 0.153:  28%|██▊       | 52/183 [01:04<02:42,  1.24s/it]
Epoch 15, training loss 0.153:  29%|██▉       | 53/183 [01:05<02:39,  1.23s/it]
Epoch 15, training loss 0.164:  29%|██▉       | 53/183 [01:05<02:41,  1.24s/it]
Epoch 15, training loss 0.164:  30%|██▉       | 54/183 [01:06<02:38,  1.23s/it]
Epoch 15, training loss 0.164:  30%|██▉       | 54/183 [01:07<02:40,  1.24s/it]
Epoch 15, training loss 0.164:  30%|███       | 55/183 [01:07<02:37,  1.23s/it]
Epoch 15, training loss 0.165:  30%|███       | 55/183 [01:08<02:38,  1.24s/it]
Epoch 15, training loss 0.165:  31%|███       | 56/183 [01:08<02:35,  1.23s/it]
Epoch 15, training loss 0.165:  31%|███       | 56/183 [01:09<02:37,  1.24s/it]
Epoch 15, training loss 0.165:  31%|███       | 57/183 [01:09<02:34,  1.23s/it]
Epoch 15, training loss 0.165:  31%|███       | 57/183 [01:10<02:35,  1.24s/it]
Epoch 15, training loss 0.165:  32%|███▏      | 58/183 [01:10<02:32,  1.22s/it]
Epoch 15, training loss 0.166:  32%|███▏      | 58/183 [01:11<02:34,  1.24s/it]
Epoch 15, training loss 0.166:  32%|███▏      | 59/183 [01:12<02:31,  1.22s/it]
Epoch 15, training loss 0.168:  32%|███▏      | 59/183 [01:12<02:32,  1.23s/it]
Epoch 15, training loss 0.168:  33%|███▎      | 60/183 [01:13<02:30,  1.22s/it]
Epoch 15, training loss 0.166:  33%|███▎      | 60/183 [01:13<02:31,  1.23s/it]
Epoch 15, training loss 0.166:  33%|███▎      | 61/183 [01:14<02:28,  1.22s/it]
Epoch 15, training loss 0.165:  33%|███▎      | 61/183 [01:15<02:30,  1.23s/it]
Epoch 15, training loss 0.165:  34%|███▍      | 62/183 [01:15<02:27,  1.22s/it]
Epoch 15, training loss 0.165:  34%|███▍      | 62/183 [01:16<02:28,  1.23s/it]
Epoch 15, training loss 0.165:  34%|███▍      | 63/183 [01:16<02:25,  1.22s/it]
Epoch 15, training loss 0.166:  34%|███▍      | 63/183 [01:17<02:27,  1.23s/it]
Epoch 15, training loss 0.166:  35%|███▍      | 64/183 [01:17<02:24,  1.21s/it]
Epoch 15, training loss 0.165:  35%|███▍      | 64/183 [01:18<02:25,  1.22s/it]
Epoch 15, training loss 0.165:  36%|███▌      | 65/183 [01:18<02:23,  1.21s/it]
Epoch 15, training loss 0.164:  36%|███▌      | 65/183 [01:19<02:24,  1.22s/it]
Epoch 15, training loss 0.164:  36%|███▌      | 66/183 [01:19<02:21,  1.21s/it]
Epoch 15, training loss 0.163:  36%|███▌      | 66/183 [01:20<02:22,  1.22s/it]
Epoch 15, training loss 0.163:  37%|███▋      | 67/183 [01:21<02:20,  1.21s/it]
Epoch 15, training loss 0.162:  37%|███▋      | 67/183 [01:21<02:21,  1.22s/it]
Epoch 15, training loss 0.162:  37%|███▋      | 68/183 [01:22<02:19,  1.21s/it]
Epoch 15, training loss 0.160:  37%|███▋      | 68/183 [01:22<02:20,  1.22s/it]
Epoch 15, training loss 0.160:  38%|███▊      | 69/183 [01:23<02:17,  1.21s/it]
Epoch 15, training loss 0.162:  38%|███▊      | 69/183 [01:24<02:19,  1.22s/it]
Epoch 15, training loss 0.162:  38%|███▊      | 70/183 [01:24<02:16,  1.21s/it]
Epoch 15, training loss 0.160:  38%|███▊      | 70/183 [01:25<02:17,  1.22s/it]
Epoch 15, training loss 0.160:  39%|███▉      | 71/183 [01:25<02:15,  1.21s/it]
Epoch 15, training loss 0.160:  39%|███▉      | 71/183 [01:26<02:16,  1.22s/it]
Epoch 15, training loss 0.160:  39%|███▉      | 72/183 [01:26<02:13,  1.21s/it]
Epoch 15, training loss 0.159:  39%|███▉      | 72/183 [01:27<02:15,  1.22s/it]
Epoch 15, training loss 0.159:  40%|███▉      | 73/183 [01:28<02:12,  1.21s/it]
Epoch 15, training loss 0.159:  40%|███▉      | 73/183 [01:28<02:13,  1.22s/it]
Epoch 15, training loss 0.159:  40%|████      | 74/183 [01:29<02:11,  1.21s/it]
Epoch 15, training loss 0.157:  40%|████      | 74/183 [01:30<02:12,  1.22s/it]
Epoch 15, training loss 0.157:  41%|████      | 75/183 [01:30<02:10,  1.21s/it]
Epoch 15, training loss 0.156:  41%|████      | 75/183 [01:31<02:11,  1.22s/it]
Epoch 15, training loss 0.156:  42%|████▏     | 76/183 [01:31<02:08,  1.21s/it]
Epoch 15, training loss 0.154:  42%|████▏     | 76/183 [01:32<02:09,  1.21s/it]
Epoch 15, training loss 0.154:  42%|████▏     | 77/183 [01:32<02:07,  1.20s/it]
Epoch 15, training loss 0.153:  42%|████▏     | 77/183 [01:33<02:08,  1.21s/it]
Epoch 15, training loss 0.153:  43%|████▎     | 78/183 [01:33<02:06,  1.20s/it]
Epoch 15, training loss 0.152:  43%|████▎     | 78/183 [01:34<02:07,  1.21s/it]
Epoch 15, training loss 0.152:  43%|████▎     | 79/183 [01:35<02:05,  1.20s/it]
Epoch 15, training loss 0.150:  43%|████▎     | 79/183 [01:35<02:06,  1.21s/it]
Epoch 15, training loss 0.150:  44%|████▎     | 80/183 [01:36<02:03,  1.20s/it]
Epoch 15, training loss 0.149:  44%|████▎     | 80/183 [01:36<02:04,  1.21s/it]
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Epoch 15, training loss 0.149:  45%|████▍     | 82/183 [01:38<02:01,  1.20s/it]
Epoch 15, training loss 0.148:  45%|████▍     | 82/183 [01:39<02:02,  1.21s/it]
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Epoch 15, training loss 0.147:  45%|████▌     | 83/183 [01:40<02:00,  1.21s/it]
Epoch 15, training loss 0.147:  46%|████▌     | 84/183 [01:40<01:58,  1.20s/it]
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Epoch 15, training loss 0.145:  49%|████▊     | 89/183 [01:46<01:52,  1.19s/it]
Epoch 15, training loss 0.147:  49%|████▊     | 89/183 [01:47<01:53,  1.20s/it]
Epoch 15, training loss 0.147:  49%|████▉     | 90/183 [01:47<01:51,  1.19s/it]
Epoch 15, training loss 0.146:  49%|████▉     | 90/183 [01:48<01:51,  1.20s/it]
Epoch 15, training loss 0.146:  50%|████▉     | 91/183 [01:48<01:49,  1.19s/it]
Epoch 15, training loss 0.145:  50%|████▉     | 91/183 [01:49<01:50,  1.20s/it]
Epoch 15, training loss 0.145:  50%|█████     | 92/183 [01:49<01:48,  1.19s/it]
Epoch 15, training loss 0.145:  50%|█████     | 92/183 [01:50<01:49,  1.20s/it]
Epoch 15, training loss 0.145:  51%|█████     | 93/183 [01:50<01:47,  1.19s/it]
Epoch 15, training loss 0.144:  51%|█████     | 93/183 [01:51<01:47,  1.20s/it]
Epoch 15, training loss 0.144:  51%|█████▏    | 94/183 [01:52<01:46,  1.19s/it]
Epoch 15, training loss 0.144:  51%|█████▏    | 94/183 [01:52<01:46,  1.20s/it]
Epoch 15, training loss 0.144:  52%|█████▏    | 95/183 [01:53<01:44,  1.19s/it]
Epoch 15, training loss 0.144:  52%|█████▏    | 95/183 [01:53<01:45,  1.20s/it]
Epoch 15, training loss 0.144:  52%|█████▏    | 96/183 [01:54<01:43,  1.19s/it]
Epoch 15, training loss 0.143:  52%|█████▏    | 96/183 [01:55<01:44,  1.20s/it]
Epoch 15, training loss 0.143:  53%|█████▎    | 97/183 [01:55<01:42,  1.19s/it]
Epoch 15, training loss 0.142:  53%|█████▎    | 97/183 [01:56<01:42,  1.20s/it]
Epoch 15, training loss 0.142:  54%|█████▎    | 98/183 [01:56<01:41,  1.19s/it]
Epoch 15, training loss 0.142:  54%|█████▎    | 98/183 [01:57<01:41,  1.20s/it]
Epoch 15, training loss 0.142:  54%|█████▍    | 99/183 [01:57<01:39,  1.19s/it]
Epoch 15, training loss 0.142:  54%|█████▍    | 99/183 [01:58<01:40,  1.20s/it]
Epoch 15, training loss 0.142:  55%|█████▍    | 100/183 [01:58<01:38,  1.19s/it]
Epoch 15, training loss 0.143:  55%|█████▍    | 100/183 [01:59<01:39,  1.20s/it]
Epoch 15, training loss 0.143:  55%|█████▌    | 101/183 [02:00<01:37,  1.19s/it]
Epoch 15, training loss 0.143:  55%|█████▌    | 101/183 [02:00<01:38,  1.20s/it]
Epoch 15, training loss 0.143:  56%|█████▌    | 102/183 [02:01<01:36,  1.19s/it]
Epoch 15, training loss 0.142:  56%|█████▌    | 102/183 [02:02<01:36,  1.20s/it]
Epoch 15, training loss 0.142:  56%|█████▋    | 103/183 [02:02<01:35,  1.19s/it]
Epoch 15, training loss 0.141:  56%|█████▋    | 103/183 [02:03<01:35,  1.20s/it]
Epoch 15, training loss 0.141:  57%|█████▋    | 104/183 [02:03<01:33,  1.19s/it]
Epoch 15, training loss 0.140:  57%|█████▋    | 104/183 [02:04<01:34,  1.20s/it]
Epoch 15, training loss 0.140:  57%|█████▋    | 105/183 [02:04<01:32,  1.19s/it]
Epoch 15, training loss 0.140:  57%|█████▋    | 105/183 [02:05<01:33,  1.20s/it]
Epoch 15, training loss 0.140:  58%|█████▊    | 106/183 [02:06<01:31,  1.19s/it]
Epoch 15, training loss 0.139:  58%|█████▊    | 106/183 [02:06<01:32,  1.20s/it]
Epoch 15, training loss 0.139:  58%|█████▊    | 107/183 [02:07<01:30,  1.19s/it]
Epoch 15, training loss 0.141:  58%|█████▊    | 107/183 [02:07<01:30,  1.20s/it]
Epoch 15, training loss 0.141:  59%|█████▉    | 108/183 [02:08<01:29,  1.19s/it]
Epoch 15, training loss 0.141:  59%|█████▉    | 108/183 [02:09<01:29,  1.19s/it]
Epoch 15, training loss 0.141:  60%|█████▉    | 109/183 [02:09<01:27,  1.19s/it]
Epoch 15, training loss 0.144:  60%|█████▉    | 109/183 [02:10<01:28,  1.19s/it]
Epoch 15, training loss 0.144:  60%|██████    | 110/183 [02:10<01:26,  1.19s/it]
Epoch 15, training loss 0.143:  60%|██████    | 110/183 [02:11<01:27,  1.19s/it]
Epoch 15, training loss 0.143:  61%|██████    | 111/183 [02:11<01:25,  1.19s/it]
Epoch 15, training loss 0.143:  61%|██████    | 111/183 [02:12<01:25,  1.19s/it]
Epoch 15, training loss 0.143:  61%|██████    | 112/183 [02:12<01:24,  1.19s/it]
Epoch 15, training loss 0.142:  61%|██████    | 112/183 [02:13<01:24,  1.19s/it]
Epoch 15, training loss 0.142:  62%|██████▏   | 113/183 [02:14<01:23,  1.19s/it]
Epoch 15, training loss 0.141:  62%|██████▏   | 113/183 [02:14<01:23,  1.19s/it]
Epoch 15, training loss 0.141:  62%|██████▏   | 114/183 [02:15<01:21,  1.19s/it]
Epoch 15, training loss 0.141:  62%|██████▏   | 114/183 [02:15<01:22,  1.19s/it]
Epoch 15, training loss 0.141:  63%|██████▎   | 115/183 [02:16<01:20,  1.19s/it]
Epoch 15, training loss 0.140:  63%|██████▎   | 115/183 [02:16<01:20,  1.19s/it]
Epoch 15, training loss 0.140:  63%|██████▎   | 116/183 [02:17<01:19,  1.19s/it]
Epoch 15, training loss 0.139:  63%|██████▎   | 116/183 [02:18<01:19,  1.19s/it]
Epoch 15, training loss 0.139:  64%|██████▍   | 117/183 [02:18<01:18,  1.19s/it]
Epoch 15, training loss 0.141:  64%|██████▍   | 117/183 [02:19<01:18,  1.19s/it]
Epoch 15, training loss 0.141:  64%|██████▍   | 118/183 [02:19<01:17,  1.18s/it]
Epoch 15, training loss 0.140:  64%|██████▍   | 118/183 [02:20<01:17,  1.19s/it]
Epoch 15, training loss 0.140:  65%|██████▌   | 119/183 [02:20<01:15,  1.18s/it]
Epoch 15, training loss 0.139:  65%|██████▌   | 119/183 [02:21<01:16,  1.19s/it]
Epoch 15, training loss 0.139:  66%|██████▌   | 120/183 [02:22<01:14,  1.18s/it]
Epoch 15, training loss 0.138:  66%|██████▌   | 120/183 [02:22<01:15,  1.19s/it]
Epoch 15, training loss 0.138:  66%|██████▌   | 121/183 [02:23<01:13,  1.18s/it]
Epoch 15, training loss 0.138:  66%|██████▌   | 121/183 [02:24<01:13,  1.19s/it]
Epoch 15, training loss 0.138:  67%|██████▋   | 122/183 [02:24<01:12,  1.18s/it]
Epoch 15, training loss 0.138:  67%|██████▋   | 122/183 [02:25<01:12,  1.19s/it]
Epoch 15, training loss 0.138:  67%|██████▋   | 123/183 [02:25<01:11,  1.18s/it]
Epoch 15, training loss 0.138:  67%|██████▋   | 123/183 [02:26<01:11,  1.19s/it]
Epoch 15, training loss 0.138:  68%|██████▊   | 124/183 [02:26<01:09,  1.18s/it]
Epoch 15, training loss 0.138:  68%|██████▊   | 124/183 [02:27<01:10,  1.19s/it]
Epoch 15, training loss 0.138:  68%|██████▊   | 125/183 [02:27<01:08,  1.18s/it]
Epoch 15, training loss 0.138:  68%|██████▊   | 125/183 [02:28<01:08,  1.19s/it]
Epoch 15, training loss 0.138:  69%|██████▉   | 126/183 [02:28<01:07,  1.18s/it]
Epoch 15, training loss 0.139:  69%|██████▉   | 126/183 [02:29<01:07,  1.19s/it]
Epoch 15, training loss 0.139:  69%|██████▉   | 127/183 [02:30<01:06,  1.18s/it]
Epoch 15, training loss 0.139:  69%|██████▉   | 127/183 [02:30<01:06,  1.19s/it]
Epoch 15, training loss 0.139:  70%|██████▉   | 128/183 [02:31<01:04,  1.18s/it]
Epoch 15, training loss 0.138:  70%|██████▉   | 128/183 [02:31<01:05,  1.19s/it]
Epoch 15, training loss 0.138:  70%|███████   | 129/183 [02:32<01:03,  1.18s/it]
Epoch 15, training loss 0.137:  70%|███████   | 129/183 [02:32<01:04,  1.19s/it]
Epoch 15, training loss 0.137:  71%|███████   | 130/183 [02:33<01:02,  1.18s/it]
Epoch 15, training loss 0.136:  71%|███████   | 130/183 [02:34<01:02,  1.19s/it]
Epoch 15, training loss 0.136:  72%|███████▏  | 131/183 [02:34<01:01,  1.18s/it]
Epoch 15, training loss 0.137:  72%|███████▏  | 131/183 [02:35<01:01,  1.18s/it]
Epoch 15, training loss 0.137:  72%|███████▏  | 132/183 [02:35<01:00,  1.18s/it]
Epoch 15, training loss 0.136:  72%|███████▏  | 132/183 [02:36<01:00,  1.18s/it]
Epoch 15, training loss 0.136:  73%|███████▎  | 133/183 [02:36<00:58,  1.18s/it]
Epoch 15, training loss 0.136:  73%|███████▎  | 133/183 [02:37<00:59,  1.18s/it]
Epoch 15, training loss 0.136:  73%|███████▎  | 134/183 [02:38<00:57,  1.18s/it]
Epoch 15, training loss 0.138:  73%|███████▎  | 134/183 [02:38<00:58,  1.18s/it]
Epoch 15, training loss 0.138:  74%|███████▍  | 135/183 [02:39<00:56,  1.18s/it]
Epoch 15, training loss 0.137:  74%|███████▍  | 135/183 [02:39<00:56,  1.18s/it]
Epoch 15, training loss 0.137:  74%|███████▍  | 136/183 [02:40<00:55,  1.18s/it]
Epoch 15, training loss 0.139:  74%|███████▍  | 136/183 [02:40<00:55,  1.18s/it]
Epoch 15, training loss 0.139:  75%|███████▍  | 137/183 [02:41<00:54,  1.18s/it]
Epoch 15, training loss 0.139:  75%|███████▍  | 137/183 [02:41<00:54,  1.18s/it]
Epoch 15, training loss 0.139:  75%|███████▌  | 138/183 [02:42<00:52,  1.18s/it]
Epoch 15, training loss 0.139:  75%|███████▌  | 138/183 [02:43<00:53,  1.18s/it]
Epoch 15, training loss 0.139:  76%|███████▌  | 139/183 [02:43<00:51,  1.18s/it]
Epoch 15, training loss 0.138:  76%|███████▌  | 139/183 [02:44<00:52,  1.18s/it]
Epoch 15, training loss 0.138:  77%|███████▋  | 140/183 [02:44<00:50,  1.18s/it]
Epoch 15, training loss 0.138:  77%|███████▋  | 140/183 [02:45<00:50,  1.18s/it]
Epoch 15, training loss 0.138:  77%|███████▋  | 141/183 [02:45<00:49,  1.18s/it]
Epoch 15, training loss 0.137:  77%|███████▋  | 141/183 [02:46<00:49,  1.18s/it]
Epoch 15, training loss 0.137:  78%|███████▊  | 142/183 [02:47<00:48,  1.18s/it]
Epoch 15, training loss 0.137:  78%|███████▊  | 142/183 [02:47<00:48,  1.18s/it]
Epoch 15, training loss 0.137:  78%|███████▊  | 143/183 [02:48<00:47,  1.18s/it]
Epoch 15, training loss 0.136:  78%|███████▊  | 143/183 [02:48<00:47,  1.18s/it]
Epoch 15, training loss 0.136:  79%|███████▊  | 144/183 [02:49<00:45,  1.18s/it]
Epoch 15, training loss 0.136:  79%|███████▊  | 144/183 [02:50<00:46,  1.18s/it]
Epoch 15, training loss 0.136:  79%|███████▉  | 145/183 [02:50<00:44,  1.18s/it]
Epoch 15, training loss 0.136:  79%|███████▉  | 145/183 [02:51<00:44,  1.18s/it]
Epoch 15, training loss 0.136:  80%|███████▉  | 146/183 [02:51<00:43,  1.18s/it]
Epoch 15, training loss 0.136:  80%|███████▉  | 146/183 [02:52<00:43,  1.18s/it]
Epoch 15, training loss 0.136:  80%|████████  | 147/183 [02:52<00:42,  1.18s/it]
Epoch 15, training loss 0.135:  80%|████████  | 147/183 [02:53<00:42,  1.18s/it]
Epoch 15, training loss 0.135:  81%|████████  | 148/183 [02:53<00:41,  1.17s/it]
Epoch 15, training loss 0.134:  81%|████████  | 148/183 [02:54<00:41,  1.18s/it]
Epoch 15, training loss 0.134:  81%|████████▏ | 149/183 [02:54<00:39,  1.17s/it]
Epoch 15, training loss 0.134:  81%|████████▏ | 149/183 [02:55<00:40,  1.18s/it]
Epoch 15, training loss 0.134:  82%|████████▏ | 150/183 [02:56<00:38,  1.17s/it]
Epoch 15, training loss 0.134:  82%|████████▏ | 150/183 [02:56<00:38,  1.18s/it]
Epoch 15, training loss 0.134:  83%|████████▎ | 151/183 [02:57<00:37,  1.18s/it]
Epoch 15, training loss 0.134:  83%|████████▎ | 151/183 [02:58<00:37,  1.18s/it]
Epoch 15, training loss 0.134:  83%|████████▎ | 152/183 [02:58<00:36,  1.18s/it]
Epoch 15, training loss 0.133:  83%|████████▎ | 152/183 [02:59<00:36,  1.18s/it]
Epoch 15, training loss 0.133:  84%|████████▎ | 153/183 [02:59<00:35,  1.17s/it]
Epoch 15, training loss 0.133:  84%|████████▎ | 153/183 [03:00<00:35,  1.18s/it]
Epoch 15, training loss 0.133:  84%|████████▍ | 154/183 [03:00<00:34,  1.17s/it]
Epoch 15, training loss 0.133:  84%|████████▍ | 154/183 [03:01<00:34,  1.18s/it]
Epoch 15, training loss 0.133:  85%|████████▍ | 155/183 [03:02<00:32,  1.17s/it]
Epoch 15, training loss 0.133:  85%|████████▍ | 155/183 [03:02<00:33,  1.18s/it]
Epoch 15, training loss 0.133:  85%|████████▌ | 156/183 [03:03<00:31,  1.17s/it]
Epoch 15, training loss 0.134:  85%|████████▌ | 156/183 [03:03<00:31,  1.18s/it]
Epoch 15, training loss 0.134:  86%|████████▌ | 157/183 [03:04<00:30,  1.17s/it]
Epoch 15, training loss 0.134:  86%|████████▌ | 157/183 [03:05<00:30,  1.18s/it]
Epoch 15, training loss 0.134:  86%|████████▋ | 158/183 [03:05<00:29,  1.17s/it]
Epoch 15, training loss 0.133:  86%|████████▋ | 158/183 [03:06<00:29,  1.18s/it]
Epoch 15, training loss 0.133:  87%|████████▋ | 159/183 [03:06<00:28,  1.17s/it]
Epoch 15, training loss 0.133:  87%|████████▋ | 159/183 [03:07<00:28,  1.18s/it]
Epoch 15, training loss 0.133:  87%|████████▋ | 160/183 [03:07<00:27,  1.17s/it]
Epoch 15, training loss 0.137:  87%|████████▋ | 160/183 [03:08<00:27,  1.18s/it]
Epoch 15, training loss 0.137:  88%|████████▊ | 161/183 [03:09<00:25,  1.17s/it]
Epoch 15, training loss 0.137:  88%|████████▊ | 161/183 [03:09<00:25,  1.18s/it]
Epoch 15, training loss 0.137:  89%|████████▊ | 162/183 [03:10<00:24,  1.17s/it]
Epoch 15, training loss 0.137:  89%|████████▊ | 162/183 [03:10<00:24,  1.18s/it]
Epoch 15, training loss 0.137:  89%|████████▉ | 163/183 [03:11<00:23,  1.17s/it]
Epoch 15, training loss 0.136:  89%|████████▉ | 163/183 [03:11<00:23,  1.18s/it]
Epoch 15, training loss 0.136:  90%|████████▉ | 164/183 [03:12<00:22,  1.17s/it]
Epoch 15, training loss 0.136:  90%|████████▉ | 164/183 [03:13<00:22,  1.18s/it]
Epoch 15, training loss 0.136:  90%|█████████ | 165/183 [03:13<00:21,  1.17s/it]
Epoch 15, training loss 0.135:  90%|█████████ | 165/183 [03:14<00:21,  1.18s/it]
Epoch 15, training loss 0.135:  91%|█████████ | 166/183 [03:14<00:19,  1.17s/it]
Epoch 15, training loss 0.135:  91%|█████████ | 166/183 [03:15<00:20,  1.18s/it]
Epoch 15, training loss 0.135:  91%|█████████▏| 167/183 [03:15<00:18,  1.17s/it]
Epoch 15, training loss 0.135:  91%|█████████▏| 167/183 [03:16<00:18,  1.18s/it]
Epoch 15, training loss 0.135:  92%|█████████▏| 168/183 [03:17<00:17,  1.17s/it]
Epoch 15, training loss 0.135:  92%|█████████▏| 168/183 [03:17<00:17,  1.18s/it]
Epoch 15, training loss 0.135:  92%|█████████▏| 169/183 [03:18<00:16,  1.17s/it]
Epoch 15, training loss 0.135:  92%|█████████▏| 169/183 [03:18<00:16,  1.18s/it]
Epoch 15, training loss 0.135:  93%|█████████▎| 170/183 [03:19<00:15,  1.17s/it]
Epoch 15, training loss 0.135:  93%|█████████▎| 170/183 [03:19<00:15,  1.18s/it]
Epoch 15, training loss 0.135:  93%|█████████▎| 171/183 [03:20<00:14,  1.17s/it]
Epoch 15, training loss 0.135:  93%|█████████▎| 171/183 [03:20<00:14,  1.17s/it]
Epoch 15, training loss 0.135:  94%|█████████▍| 172/183 [03:21<00:12,  1.17s/it]
Epoch 15, training loss 0.134:  94%|█████████▍| 172/183 [03:22<00:12,  1.17s/it]
Epoch 15, training loss 0.134:  95%|█████████▍| 173/183 [03:22<00:11,  1.17s/it]
Epoch 15, training loss 0.134:  95%|█████████▍| 173/183 [03:23<00:11,  1.17s/it]
Epoch 15, training loss 0.134:  95%|█████████▌| 174/183 [03:23<00:10,  1.17s/it]
Epoch 15, training loss 0.134:  95%|█████████▌| 174/183 [03:24<00:10,  1.17s/it]
Epoch 15, training loss 0.134:  96%|█████████▌| 175/183 [03:24<00:09,  1.17s/it]
Epoch 15, training loss 0.135:  96%|█████████▌| 175/183 [03:25<00:09,  1.17s/it]
Epoch 15, training loss 0.135:  96%|█████████▌| 176/183 [03:25<00:08,  1.17s/it]
Epoch 15, training loss 0.135:  96%|█████████▌| 176/183 [03:26<00:08,  1.17s/it]
Epoch 15, training loss 0.135:  97%|█████████▋| 177/183 [03:26<00:07,  1.17s/it]
Epoch 15, training loss 0.135:  97%|█████████▋| 177/183 [03:27<00:07,  1.17s/it]
Epoch 15, training loss 0.135:  97%|█████████▋| 178/183 [03:28<00:05,  1.17s/it]
Epoch 15, training loss 0.135:  97%|█████████▋| 178/183 [03:28<00:05,  1.17s/it]
Epoch 15, training loss 0.135:  98%|█████████▊| 179/183 [03:29<00:04,  1.17s/it]
Epoch 15, training loss 0.134:  98%|█████████▊| 179/183 [03:29<00:04,  1.17s/it]
Epoch 15, training loss 0.134:  98%|█████████▊| 180/183 [03:30<00:03,  1.17s/it]
Epoch 15, training loss 0.134:  98%|█████████▊| 180/183 [03:30<00:03,  1.17s/it]
Epoch 15, training loss 0.134:  99%|█████████▉| 181/183 [03:31<00:02,  1.17s/it]
Epoch 15, training loss 0.134:  99%|█████████▉| 181/183 [03:32<00:02,  1.17s/it]
Epoch 15, training loss 0.134:  99%|█████████▉| 182/183 [03:32<00:01,  1.17s/it]
Epoch 15, training loss 0.134:  99%|█████████▉| 182/183 [03:33<00:01,  1.17s/it]
Epoch 15, training loss 0.134: 100%|██████████| 183/183 [03:33<00:00,  1.17s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.538:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.538:   1%|          | 1/91 [00:04<06:49,  4.55s/it]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.696:   1%|          | 1/91 [00:04<07:28,  4.99s/it]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.696:   2%|▏         | 2/91 [00:04<03:41,  2.49s/it]
Epoch 15, validation pixAcc: 0.978, mIoU: 0.785:   2%|▏         | 2/91 [00:05<04:01,  2.72s/it]
Epoch 15, validation pixAcc: 0.978, mIoU: 0.785:   3%|▎         | 3/91 [00:05<02:39,  1.81s/it]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.793:   3%|▎         | 3/91 [00:05<02:51,  1.95s/it]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.793:   4%|▍         | 4/91 [00:05<02:07,  1.46s/it]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.897:   4%|▍         | 4/91 [00:06<02:17,  1.58s/it]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.897:   5%|▌         | 5/91 [00:06<01:48,  1.26s/it]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.898:   5%|▌         | 5/91 [00:06<01:56,  1.36s/it]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.898:   7%|▋         | 6/91 [00:06<01:36,  1.13s/it]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.889:   7%|▋         | 6/91 [00:07<01:42,  1.20s/it]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.889:   8%|▊         | 7/91 [00:07<01:26,  1.03s/it]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.889:   8%|▊         | 7/91 [00:07<01:31,  1.09s/it]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.889:   9%|▉         | 8/91 [00:07<01:19,  1.04it/s]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.891:   9%|▉         | 8/91 [00:08<01:24,  1.01s/it]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.891:  10%|▉         | 9/91 [00:08<01:13,  1.11it/s]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.901:  10%|▉         | 9/91 [00:08<01:18,  1.05it/s]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.901:  11%|█         | 10/91 [00:08<01:09,  1.17it/s]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.899:  11%|█         | 10/91 [00:08<01:12,  1.11it/s]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.899:  12%|█▏        | 11/91 [00:08<01:05,  1.22it/s]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.895:  12%|█▏        | 11/91 [00:09<01:08,  1.16it/s]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.895:  13%|█▎        | 12/91 [00:09<01:02,  1.27it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.896:  13%|█▎        | 12/91 [00:09<01:04,  1.22it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.896:  14%|█▍        | 13/91 [00:09<00:59,  1.32it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.905:  14%|█▍        | 13/91 [00:10<01:01,  1.26it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.905:  15%|█▌        | 14/91 [00:10<00:56,  1.35it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.903:  15%|█▌        | 14/91 [00:10<00:59,  1.30it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.903:  16%|█▋        | 15/91 [00:10<00:54,  1.40it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.908:  16%|█▋        | 15/91 [00:11<00:56,  1.34it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.908:  18%|█▊        | 16/91 [00:11<00:52,  1.43it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.907:  18%|█▊        | 16/91 [00:11<00:54,  1.37it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.907:  19%|█▊        | 17/91 [00:11<00:50,  1.46it/s]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.902:  19%|█▊        | 17/91 [00:12<00:52,  1.41it/s]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.902:  20%|█▉        | 18/91 [00:12<00:49,  1.49it/s]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.898:  20%|█▉        | 18/91 [00:12<00:50,  1.43it/s]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.898:  21%|██        | 19/91 [00:12<00:47,  1.51it/s]
Epoch 15, validation pixAcc: 0.974, mIoU: 0.894:  21%|██        | 19/91 [00:13<00:49,  1.46it/s]
Epoch 15, validation pixAcc: 0.974, mIoU: 0.894:  22%|██▏       | 20/91 [00:13<00:46,  1.54it/s]
Epoch 15, validation pixAcc: 0.974, mIoU: 0.897:  22%|██▏       | 20/91 [00:13<00:47,  1.49it/s]
Epoch 15, validation pixAcc: 0.974, mIoU: 0.897:  23%|██▎       | 21/91 [00:13<00:44,  1.56it/s]
Epoch 15, validation pixAcc: 0.974, mIoU: 0.894:  23%|██▎       | 21/91 [00:13<00:46,  1.51it/s]
Epoch 15, validation pixAcc: 0.974, mIoU: 0.894:  24%|██▍       | 22/91 [00:13<00:43,  1.58it/s]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.897:  24%|██▍       | 22/91 [00:14<00:45,  1.53it/s]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.897:  25%|██▌       | 23/91 [00:14<00:42,  1.60it/s]
Epoch 15, validation pixAcc: 0.974, mIoU: 0.896:  25%|██▌       | 23/91 [00:14<00:43,  1.55it/s]
Epoch 15, validation pixAcc: 0.974, mIoU: 0.896:  26%|██▋       | 24/91 [00:14<00:41,  1.62it/s]
Epoch 15, validation pixAcc: 0.974, mIoU: 0.897:  26%|██▋       | 24/91 [00:15<00:42,  1.57it/s]
Epoch 15, validation pixAcc: 0.974, mIoU: 0.897:  27%|██▋       | 25/91 [00:15<00:40,  1.63it/s]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.897:  27%|██▋       | 25/91 [00:15<00:41,  1.59it/s]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.897:  29%|██▊       | 26/91 [00:15<00:39,  1.65it/s]
Epoch 15, validation pixAcc: 0.974, mIoU: 0.899:  29%|██▊       | 26/91 [00:16<00:40,  1.60it/s]
Epoch 15, validation pixAcc: 0.974, mIoU: 0.899:  30%|██▉       | 27/91 [00:16<00:38,  1.67it/s]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.901:  30%|██▉       | 27/91 [00:16<00:39,  1.62it/s]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.901:  31%|███       | 28/91 [00:16<00:37,  1.68it/s]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.900:  31%|███       | 28/91 [00:17<00:38,  1.64it/s]
Epoch 15, validation pixAcc: 0.975, mIoU: 0.900:  32%|███▏      | 29/91 [00:17<00:36,  1.69it/s]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.901:  32%|███▏      | 29/91 [00:17<00:37,  1.65it/s]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.901:  33%|███▎      | 30/91 [00:17<00:35,  1.71it/s]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.903:  33%|███▎      | 30/91 [00:17<00:36,  1.67it/s]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.903:  34%|███▍      | 31/91 [00:17<00:34,  1.73it/s]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.904:  34%|███▍      | 31/91 [00:18<00:35,  1.69it/s]
Epoch 15, validation pixAcc: 0.976, mIoU: 0.904:  35%|███▌      | 32/91 [00:18<00:33,  1.74it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.905:  35%|███▌      | 32/91 [00:18<00:34,  1.70it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.905:  36%|███▋      | 33/91 [00:18<00:33,  1.75it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.906:  36%|███▋      | 33/91 [00:19<00:33,  1.71it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.906:  37%|███▋      | 34/91 [00:19<00:32,  1.76it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.906:  37%|███▋      | 34/91 [00:19<00:33,  1.73it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.906:  38%|███▊      | 35/91 [00:19<00:31,  1.78it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.907:  38%|███▊      | 35/91 [00:20<00:32,  1.74it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.907:  40%|███▉      | 36/91 [00:20<00:30,  1.79it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.907:  40%|███▉      | 36/91 [00:20<00:31,  1.75it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.907:  41%|████      | 37/91 [00:20<00:30,  1.80it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.907:  41%|████      | 37/91 [00:21<00:30,  1.76it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.907:  42%|████▏     | 38/91 [00:21<00:29,  1.80it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.907:  42%|████▏     | 38/91 [00:21<00:30,  1.77it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.907:  43%|████▎     | 39/91 [00:21<00:28,  1.81it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.909:  43%|████▎     | 39/91 [00:21<00:29,  1.78it/s]
Epoch 15, validation pixAcc: 0.977, mIoU: 0.909:  44%|████▍     | 40/91 [00:21<00:28,  1.82it/s]
Epoch 15, validation pixAcc: 0.978, mIoU: 0.908:  44%|████▍     | 40/91 [00:22<00:28,  1.79it/s]
Epoch 15, validation pixAcc: 0.978, mIoU: 0.908:  45%|████▌     | 41/91 [00:22<00:27,  1.83it/s]
Epoch 15, validation pixAcc: 0.978, mIoU: 0.908:  45%|████▌     | 41/91 [00:22<00:27,  1.79it/s]
Epoch 15, validation pixAcc: 0.978, mIoU: 0.908:  46%|████▌     | 42/91 [00:22<00:26,  1.84it/s]
Epoch 15, validation pixAcc: 0.978, mIoU: 0.909:  46%|████▌     | 42/91 [00:23<00:27,  1.80it/s]
Epoch 15, validation pixAcc: 0.978, mIoU: 0.909:  47%|████▋     | 43/91 [00:23<00:26,  1.85it/s]
Epoch 15, validation pixAcc: 0.978, mIoU: 0.910:  47%|████▋     | 43/91 [00:23<00:26,  1.81it/s]
Epoch 15, validation pixAcc: 0.978, mIoU: 0.910:  48%|████▊     | 44/91 [00:23<00:25,  1.85it/s]
Epoch 15, validation pixAcc: 0.978, mIoU: 0.910:  48%|████▊     | 44/91 [00:24<00:25,  1.82it/s]
Epoch 15, validation pixAcc: 0.978, mIoU: 0.910:  49%|████▉     | 45/91 [00:24<00:24,  1.87it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.910:  49%|████▉     | 45/91 [00:24<00:25,  1.84it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.910:  51%|█████     | 46/91 [00:24<00:23,  1.88it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.911:  51%|█████     | 46/91 [00:24<00:24,  1.84it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.911:  52%|█████▏    | 47/91 [00:24<00:23,  1.88it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.911:  52%|█████▏    | 47/91 [00:25<00:23,  1.85it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.911:  53%|█████▎    | 48/91 [00:25<00:22,  1.89it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.910:  53%|█████▎    | 48/91 [00:25<00:23,  1.86it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.910:  54%|█████▍    | 49/91 [00:25<00:22,  1.90it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.910:  54%|█████▍    | 49/91 [00:26<00:22,  1.87it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.910:  55%|█████▍    | 50/91 [00:26<00:21,  1.91it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.911:  55%|█████▍    | 50/91 [00:26<00:21,  1.88it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.911:  56%|█████▌    | 51/91 [00:26<00:20,  1.92it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.912:  56%|█████▌    | 51/91 [00:27<00:21,  1.89it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.912:  57%|█████▋    | 52/91 [00:27<00:20,  1.92it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.912:  57%|█████▋    | 52/91 [00:27<00:20,  1.89it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.912:  58%|█████▊    | 53/91 [00:27<00:19,  1.93it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.911:  58%|█████▊    | 53/91 [00:27<00:20,  1.90it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.911:  59%|█████▉    | 54/91 [00:27<00:19,  1.94it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.911:  59%|█████▉    | 54/91 [00:28<00:19,  1.91it/s]
Epoch 15, validation pixAcc: 0.979, mIoU: 0.911:  60%|██████    | 55/91 [00:28<00:18,  1.94it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.912:  60%|██████    | 55/91 [00:28<00:18,  1.91it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.912:  62%|██████▏   | 56/91 [00:28<00:17,  1.95it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.912:  62%|██████▏   | 56/91 [00:29<00:18,  1.92it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.912:  63%|██████▎   | 57/91 [00:29<00:17,  1.95it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.912:  63%|██████▎   | 57/91 [00:29<00:17,  1.93it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.912:  64%|██████▎   | 58/91 [00:29<00:16,  1.96it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.912:  64%|██████▎   | 58/91 [00:29<00:17,  1.93it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.912:  65%|██████▍   | 59/91 [00:29<00:16,  1.97it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.912:  65%|██████▍   | 59/91 [00:30<00:16,  1.94it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.912:  66%|██████▌   | 60/91 [00:30<00:15,  1.97it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.913:  66%|██████▌   | 60/91 [00:30<00:15,  1.94it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.913:  67%|██████▋   | 61/91 [00:30<00:15,  1.98it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.913:  67%|██████▋   | 61/91 [00:31<00:15,  1.95it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.913:  68%|██████▊   | 62/91 [00:31<00:14,  1.98it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.913:  68%|██████▊   | 62/91 [00:31<00:14,  1.95it/s]
Epoch 15, validation pixAcc: 0.980, mIoU: 0.913:  69%|██████▉   | 63/91 [00:31<00:14,  1.99it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.914:  69%|██████▉   | 63/91 [00:32<00:14,  1.96it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.914:  70%|███████   | 64/91 [00:32<00:13,  1.99it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.914:  70%|███████   | 64/91 [00:32<00:13,  1.96it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.914:  71%|███████▏  | 65/91 [00:32<00:13,  1.99it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.915:  71%|███████▏  | 65/91 [00:33<00:13,  1.97it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.915:  73%|███████▎  | 66/91 [00:33<00:12,  2.00it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.915:  73%|███████▎  | 66/91 [00:33<00:12,  1.97it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.915:  74%|███████▎  | 67/91 [00:33<00:11,  2.00it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.915:  74%|███████▎  | 67/91 [00:33<00:12,  1.98it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.915:  75%|███████▍  | 68/91 [00:33<00:11,  2.01it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.915:  75%|███████▍  | 68/91 [00:34<00:11,  1.98it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.915:  76%|███████▌  | 69/91 [00:34<00:10,  2.01it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.915:  76%|███████▌  | 69/91 [00:34<00:11,  1.98it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.915:  77%|███████▋  | 70/91 [00:34<00:10,  2.01it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.916:  77%|███████▋  | 70/91 [00:35<00:10,  1.99it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.916:  78%|███████▊  | 71/91 [00:35<00:09,  2.02it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.916:  78%|███████▊  | 71/91 [00:35<00:10,  1.99it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.916:  79%|███████▉  | 72/91 [00:35<00:09,  2.02it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.916:  79%|███████▉  | 72/91 [00:36<00:09,  2.00it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.916:  80%|████████  | 73/91 [00:36<00:08,  2.02it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.916:  80%|████████  | 73/91 [00:36<00:08,  2.00it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.916:  81%|████████▏ | 74/91 [00:36<00:08,  2.03it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.917:  81%|████████▏ | 74/91 [00:36<00:08,  2.01it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.917:  82%|████████▏ | 75/91 [00:36<00:07,  2.03it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.917:  82%|████████▏ | 75/91 [00:37<00:07,  2.01it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.917:  84%|████████▎ | 76/91 [00:37<00:07,  2.04it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.917:  84%|████████▎ | 76/91 [00:37<00:07,  2.02it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.917:  85%|████████▍ | 77/91 [00:37<00:06,  2.04it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.917:  85%|████████▍ | 77/91 [00:38<00:06,  2.02it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.917:  86%|████████▌ | 78/91 [00:38<00:06,  2.05it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.917:  86%|████████▌ | 78/91 [00:38<00:06,  2.02it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.917:  87%|████████▋ | 79/91 [00:38<00:05,  2.05it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.918:  87%|████████▋ | 79/91 [00:38<00:05,  2.03it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.918:  88%|████████▊ | 80/91 [00:38<00:05,  2.05it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.918:  88%|████████▊ | 80/91 [00:39<00:05,  2.03it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.918:  89%|████████▉ | 81/91 [00:39<00:04,  2.06it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.918:  89%|████████▉ | 81/91 [00:39<00:04,  2.04it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.918:  90%|█████████ | 82/91 [00:39<00:04,  2.06it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.919:  90%|█████████ | 82/91 [00:40<00:04,  2.04it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.919:  91%|█████████ | 83/91 [00:40<00:03,  2.06it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.919:  91%|█████████ | 83/91 [00:40<00:03,  2.04it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.919:  92%|█████████▏| 84/91 [00:40<00:03,  2.07it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.919:  92%|█████████▏| 84/91 [00:41<00:03,  2.05it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.919:  93%|█████████▎| 85/91 [00:41<00:02,  2.07it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.919:  93%|█████████▎| 85/91 [00:41<00:02,  2.05it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.919:  95%|█████████▍| 86/91 [00:41<00:02,  2.07it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.919:  95%|█████████▍| 86/91 [00:41<00:02,  2.05it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.919:  96%|█████████▌| 87/91 [00:41<00:01,  2.07it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.919:  96%|█████████▌| 87/91 [00:42<00:01,  2.05it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.919:  97%|█████████▋| 88/91 [00:42<00:01,  2.08it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.918:  97%|█████████▋| 88/91 [00:42<00:01,  2.06it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.918:  98%|█████████▊| 89/91 [00:42<00:00,  2.08it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.918:  98%|█████████▊| 89/91 [00:43<00:00,  2.06it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.918:  99%|█████████▉| 90/91 [00:43<00:00,  2.08it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.918:  99%|█████████▉| 90/91 [00:43<00:00,  2.07it/s]
Epoch 15, validation pixAcc: 0.981, mIoU: 0.918: 100%|██████████| 91/91 [00:43<00:00,  2.09it/s]

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Epoch 16, training loss 0.345:   0%|          | 0/182 [00:05<?, ?it/s]
Epoch 16, training loss 0.345:   1%|          | 1/182 [00:05<16:34,  5.49s/it]
Epoch 16, training loss 0.219:   1%|          | 1/182 [00:06<18:56,  6.28s/it]
Epoch 16, training loss 0.219:   1%|          | 2/182 [00:06<10:10,  3.39s/it]
Epoch 16, training loss 0.169:   1%|          | 2/182 [00:07<11:08,  3.71s/it]
Epoch 16, training loss 0.169:   2%|▏         | 3/182 [00:07<07:54,  2.65s/it]
Epoch 16, training loss 0.182:   2%|▏         | 3/182 [00:08<08:38,  2.90s/it]
Epoch 16, training loss 0.182:   2%|▏         | 4/182 [00:09<06:49,  2.30s/it]
Epoch 16, training loss 0.154:   2%|▏         | 4/182 [00:09<07:16,  2.45s/it]
Epoch 16, training loss 0.154:   3%|▎         | 5/182 [00:10<06:05,  2.06s/it]
Epoch 16, training loss 0.159:   3%|▎         | 5/182 [00:10<06:27,  2.19s/it]
Epoch 16, training loss 0.159:   3%|▎         | 6/182 [00:11<05:36,  1.91s/it]
Epoch 16, training loss 0.148:   3%|▎         | 6/182 [00:12<05:58,  2.03s/it]
Epoch 16, training loss 0.148:   4%|▍         | 7/182 [00:12<05:17,  1.82s/it]
Epoch 16, training loss 0.136:   4%|▍         | 7/182 [00:13<05:35,  1.92s/it]
Epoch 16, training loss 0.136:   4%|▍         | 8/182 [00:13<05:02,  1.74s/it]
Epoch 16, training loss 0.140:   4%|▍         | 8/182 [00:14<05:15,  1.81s/it]
Epoch 16, training loss 0.140:   5%|▍         | 9/182 [00:14<04:48,  1.67s/it]
Epoch 16, training loss 0.134:   5%|▍         | 9/182 [00:15<05:00,  1.73s/it]
Epoch 16, training loss 0.134:   5%|▌         | 10/182 [00:16<04:37,  1.61s/it]
Epoch 16, training loss 0.134:   5%|▌         | 10/182 [00:16<04:47,  1.67s/it]
Epoch 16, training loss 0.134:   6%|▌         | 11/182 [00:17<04:27,  1.56s/it]
Epoch 16, training loss 0.125:   6%|▌         | 11/182 [00:17<04:37,  1.62s/it]
Epoch 16, training loss 0.125:   7%|▋         | 12/182 [00:18<04:19,  1.53s/it]
Epoch 16, training loss 0.123:   7%|▋         | 12/182 [00:19<04:29,  1.58s/it]
Epoch 16, training loss 0.123:   7%|▋         | 13/182 [00:19<04:13,  1.50s/it]
Epoch 16, training loss 0.120:   7%|▋         | 13/182 [00:20<04:21,  1.55s/it]
Epoch 16, training loss 0.120:   8%|▊         | 14/182 [00:20<04:07,  1.47s/it]
Epoch 16, training loss 0.119:   8%|▊         | 14/182 [00:21<04:16,  1.53s/it]
Epoch 16, training loss 0.119:   8%|▊         | 15/182 [00:21<04:03,  1.46s/it]
Epoch 16, training loss 0.114:   8%|▊         | 15/182 [00:22<04:11,  1.50s/it]
Epoch 16, training loss 0.114:   9%|▉         | 16/182 [00:23<03:59,  1.44s/it]
Epoch 16, training loss 0.132:   9%|▉         | 16/182 [00:23<04:06,  1.49s/it]
Epoch 16, training loss 0.132:   9%|▉         | 17/182 [00:24<03:55,  1.43s/it]
Epoch 16, training loss 0.147:   9%|▉         | 17/182 [00:24<04:02,  1.47s/it]
Epoch 16, training loss 0.147:  10%|▉         | 18/182 [00:25<03:52,  1.42s/it]
Epoch 16, training loss 0.141:  10%|▉         | 18/182 [00:26<03:58,  1.46s/it]
Epoch 16, training loss 0.141:  10%|█         | 19/182 [00:26<03:49,  1.41s/it]
Epoch 16, training loss 0.150:  10%|█         | 19/182 [00:27<03:55,  1.44s/it]
Epoch 16, training loss 0.150:  11%|█         | 20/182 [00:27<03:46,  1.40s/it]
Epoch 16, training loss 0.144:  11%|█         | 20/182 [00:28<03:52,  1.44s/it]
Epoch 16, training loss 0.144:  12%|█▏        | 21/182 [00:29<03:44,  1.39s/it]
Epoch 16, training loss 0.138:  12%|█▏        | 21/182 [00:29<03:49,  1.43s/it]
Epoch 16, training loss 0.138:  12%|█▏        | 22/182 [00:30<03:41,  1.38s/it]
Epoch 16, training loss 0.138:  12%|█▏        | 22/182 [00:31<03:46,  1.42s/it]
Epoch 16, training loss 0.138:  13%|█▎        | 23/182 [00:31<03:38,  1.38s/it]
Epoch 16, training loss 0.133:  13%|█▎        | 23/182 [00:32<03:43,  1.41s/it]
Epoch 16, training loss 0.133:  13%|█▎        | 24/182 [00:32<03:36,  1.37s/it]
Epoch 16, training loss 0.136:  13%|█▎        | 24/182 [00:33<03:40,  1.40s/it]
Epoch 16, training loss 0.136:  14%|█▎        | 25/182 [00:33<03:33,  1.36s/it]
Epoch 16, training loss 0.134:  14%|█▎        | 25/182 [00:34<03:37,  1.39s/it]
Epoch 16, training loss 0.134:  14%|█▍        | 26/182 [00:35<03:31,  1.35s/it]
Epoch 16, training loss 0.131:  14%|█▍        | 26/182 [00:35<03:34,  1.38s/it]
Epoch 16, training loss 0.131:  15%|█▍        | 27/182 [00:36<03:28,  1.34s/it]
Epoch 16, training loss 0.129:  15%|█▍        | 27/182 [00:37<03:32,  1.37s/it]
Epoch 16, training loss 0.129:  15%|█▌        | 28/182 [00:37<03:26,  1.34s/it]
Epoch 16, training loss 0.126:  15%|█▌        | 28/182 [00:38<03:30,  1.37s/it]
Epoch 16, training loss 0.126:  16%|█▌        | 29/182 [00:38<03:24,  1.34s/it]
Epoch 16, training loss 0.127:  16%|█▌        | 29/182 [00:39<03:28,  1.36s/it]
Epoch 16, training loss 0.127:  16%|█▋        | 30/182 [00:39<03:22,  1.33s/it]
Epoch 16, training loss 0.126:  16%|█▋        | 30/182 [00:40<03:25,  1.35s/it]
Epoch 16, training loss 0.126:  17%|█▋        | 31/182 [00:41<03:20,  1.33s/it]
Epoch 16, training loss 0.126:  17%|█▋        | 31/182 [00:41<03:23,  1.35s/it]
Epoch 16, training loss 0.126:  18%|█▊        | 32/182 [00:42<03:18,  1.32s/it]
Epoch 16, training loss 0.123:  18%|█▊        | 32/182 [00:43<03:21,  1.35s/it]
Epoch 16, training loss 0.123:  18%|█▊        | 33/182 [00:43<03:16,  1.32s/it]
Epoch 16, training loss 0.127:  18%|█▊        | 33/182 [00:44<03:19,  1.34s/it]
Epoch 16, training loss 0.127:  19%|█▊        | 34/182 [00:44<03:14,  1.32s/it]
Epoch 16, training loss 0.128:  19%|█▊        | 34/182 [00:45<03:17,  1.34s/it]
Epoch 16, training loss 0.128:  19%|█▉        | 35/182 [00:45<03:12,  1.31s/it]
Epoch 16, training loss 0.125:  19%|█▉        | 35/182 [00:46<03:15,  1.33s/it]
Epoch 16, training loss 0.125:  20%|█▉        | 36/182 [00:47<03:11,  1.31s/it]
Epoch 16, training loss 0.124:  20%|█▉        | 36/182 [00:47<03:14,  1.33s/it]
Epoch 16, training loss 0.124:  20%|██        | 37/182 [00:48<03:09,  1.31s/it]
Epoch 16, training loss 0.134:  20%|██        | 37/182 [00:49<03:12,  1.33s/it]
Epoch 16, training loss 0.134:  21%|██        | 38/182 [00:49<03:07,  1.30s/it]
Epoch 16, training loss 0.134:  21%|██        | 38/182 [00:50<03:11,  1.33s/it]
Epoch 16, training loss 0.134:  21%|██▏       | 39/182 [00:50<03:06,  1.31s/it]
Epoch 16, training loss 0.134:  21%|██▏       | 39/182 [00:51<03:08,  1.32s/it]
Epoch 16, training loss 0.134:  22%|██▏       | 40/182 [00:51<03:04,  1.30s/it]
Epoch 16, training loss 0.133:  22%|██▏       | 40/182 [00:52<03:07,  1.32s/it]
Epoch 16, training loss 0.133:  23%|██▎       | 41/182 [00:53<03:03,  1.30s/it]
Epoch 16, training loss 0.135:  23%|██▎       | 41/182 [00:53<03:05,  1.31s/it]
Epoch 16, training loss 0.135:  23%|██▎       | 42/182 [00:54<03:01,  1.29s/it]
Epoch 16, training loss 0.135:  23%|██▎       | 42/182 [00:55<03:03,  1.31s/it]
Epoch 16, training loss 0.135:  24%|██▎       | 43/182 [00:55<02:59,  1.29s/it]
Epoch 16, training loss 0.140:  24%|██▎       | 43/182 [00:56<03:01,  1.31s/it]
Epoch 16, training loss 0.140:  24%|██▍       | 44/182 [00:56<02:57,  1.29s/it]
Epoch 16, training loss 0.140:  24%|██▍       | 44/182 [00:57<02:59,  1.30s/it]
Epoch 16, training loss 0.140:  25%|██▍       | 45/182 [00:57<02:55,  1.28s/it]
Epoch 16, training loss 0.138:  25%|██▍       | 45/182 [00:58<02:57,  1.30s/it]
Epoch 16, training loss 0.138:  25%|██▌       | 46/182 [00:58<02:54,  1.28s/it]
Epoch 16, training loss 0.150:  25%|██▌       | 46/182 [00:59<02:56,  1.30s/it]
Epoch 16, training loss 0.150:  26%|██▌       | 47/182 [01:00<02:52,  1.28s/it]
Epoch 16, training loss 0.148:  26%|██▌       | 47/182 [01:00<02:54,  1.29s/it]
Epoch 16, training loss 0.148:  26%|██▋       | 48/182 [01:01<02:50,  1.28s/it]
Epoch 16, training loss 0.149:  26%|██▋       | 48/182 [01:01<02:52,  1.29s/it]
Epoch 16, training loss 0.149:  27%|██▋       | 49/182 [01:02<02:49,  1.27s/it]
Epoch 16, training loss 0.149:  27%|██▋       | 49/182 [01:03<02:51,  1.29s/it]
Epoch 16, training loss 0.149:  27%|██▋       | 50/182 [01:03<02:47,  1.27s/it]
Epoch 16, training loss 0.149:  27%|██▋       | 50/182 [01:04<02:49,  1.29s/it]
Epoch 16, training loss 0.149:  28%|██▊       | 51/182 [01:04<02:46,  1.27s/it]
Epoch 16, training loss 0.147:  28%|██▊       | 51/182 [01:05<02:48,  1.28s/it]
Epoch 16, training loss 0.147:  29%|██▊       | 52/182 [01:06<02:45,  1.27s/it]
Epoch 16, training loss 0.149:  29%|██▊       | 52/182 [01:06<02:46,  1.28s/it]
Epoch 16, training loss 0.149:  29%|██▉       | 53/182 [01:07<02:43,  1.27s/it]
Epoch 16, training loss 0.147:  29%|██▉       | 53/182 [01:07<02:45,  1.28s/it]
Epoch 16, training loss 0.147:  30%|██▉       | 54/182 [01:08<02:42,  1.27s/it]
Epoch 16, training loss 0.146:  30%|██▉       | 54/182 [01:09<02:44,  1.28s/it]
Epoch 16, training loss 0.146:  30%|███       | 55/182 [01:09<02:40,  1.27s/it]
Epoch 16, training loss 0.145:  30%|███       | 55/182 [01:10<02:42,  1.28s/it]
Epoch 16, training loss 0.145:  31%|███       | 56/182 [01:10<02:39,  1.27s/it]
Epoch 16, training loss 0.144:  31%|███       | 56/182 [01:11<02:40,  1.28s/it]
Epoch 16, training loss 0.144:  31%|███▏      | 57/182 [01:12<02:38,  1.26s/it]
Epoch 16, training loss 0.144:  31%|███▏      | 57/182 [01:12<02:39,  1.28s/it]
Epoch 16, training loss 0.144:  32%|███▏      | 58/182 [01:13<02:36,  1.26s/it]
Epoch 16, training loss 0.142:  32%|███▏      | 58/182 [01:13<02:37,  1.27s/it]
Epoch 16, training loss 0.142:  32%|███▏      | 59/182 [01:14<02:35,  1.26s/it]
Epoch 16, training loss 0.142:  32%|███▏      | 59/182 [01:15<02:36,  1.27s/it]
Epoch 16, training loss 0.142:  33%|███▎      | 60/182 [01:15<02:33,  1.26s/it]
Epoch 16, training loss 0.142:  33%|███▎      | 60/182 [01:16<02:35,  1.27s/it]
Epoch 16, training loss 0.142:  34%|███▎      | 61/182 [01:16<02:32,  1.26s/it]
Epoch 16, training loss 0.140:  34%|███▎      | 61/182 [01:17<02:33,  1.27s/it]
Epoch 16, training loss 0.140:  34%|███▍      | 62/182 [01:17<02:30,  1.26s/it]
Epoch 16, training loss 0.138:  34%|███▍      | 62/182 [01:18<02:32,  1.27s/it]
Epoch 16, training loss 0.138:  35%|███▍      | 63/182 [01:19<02:29,  1.26s/it]
Epoch 16, training loss 0.137:  35%|███▍      | 63/182 [01:19<02:31,  1.27s/it]
Epoch 16, training loss 0.137:  35%|███▌      | 64/182 [01:20<02:28,  1.26s/it]
Epoch 16, training loss 0.136:  35%|███▌      | 64/182 [01:21<02:29,  1.27s/it]
Epoch 16, training loss 0.136:  36%|███▌      | 65/182 [01:21<02:26,  1.25s/it]
Epoch 16, training loss 0.136:  36%|███▌      | 65/182 [01:22<02:27,  1.26s/it]
Epoch 16, training loss 0.136:  36%|███▋      | 66/182 [01:22<02:25,  1.25s/it]
Epoch 16, training loss 0.138:  36%|███▋      | 66/182 [01:23<02:26,  1.26s/it]
Epoch 16, training loss 0.138:  37%|███▋      | 67/182 [01:23<02:23,  1.25s/it]
Epoch 16, training loss 0.139:  37%|███▋      | 67/182 [01:24<02:25,  1.26s/it]
Epoch 16, training loss 0.139:  37%|███▋      | 68/182 [01:25<02:22,  1.25s/it]
Epoch 16, training loss 0.139:  37%|███▋      | 68/182 [01:25<02:23,  1.26s/it]
Epoch 16, training loss 0.139:  38%|███▊      | 69/182 [01:26<02:21,  1.25s/it]
Epoch 16, training loss 0.138:  38%|███▊      | 69/182 [01:26<02:22,  1.26s/it]
Epoch 16, training loss 0.138:  38%|███▊      | 70/182 [01:27<02:19,  1.25s/it]
Epoch 16, training loss 0.137:  38%|███▊      | 70/182 [01:28<02:20,  1.26s/it]
Epoch 16, training loss 0.137:  39%|███▉      | 71/182 [01:28<02:18,  1.25s/it]
Epoch 16, training loss 0.140:  39%|███▉      | 71/182 [01:29<02:19,  1.26s/it]
Epoch 16, training loss 0.140:  40%|███▉      | 72/182 [01:29<02:17,  1.25s/it]
Epoch 16, training loss 0.140:  40%|███▉      | 72/182 [01:30<02:18,  1.26s/it]
Epoch 16, training loss 0.140:  40%|████      | 73/182 [01:30<02:15,  1.25s/it]
Epoch 16, training loss 0.140:  40%|████      | 73/182 [01:31<02:16,  1.25s/it]
Epoch 16, training loss 0.140:  41%|████      | 74/182 [01:31<02:14,  1.24s/it]
Epoch 16, training loss 0.142:  41%|████      | 74/182 [01:32<02:15,  1.25s/it]
Epoch 16, training loss 0.142:  41%|████      | 75/182 [01:33<02:12,  1.24s/it]
Epoch 16, training loss 0.143:  41%|████      | 75/182 [01:33<02:13,  1.25s/it]
Epoch 16, training loss 0.143:  42%|████▏     | 76/182 [01:34<02:11,  1.24s/it]
Epoch 16, training loss 0.141:  42%|████▏     | 76/182 [01:34<02:12,  1.25s/it]
Epoch 16, training loss 0.141:  42%|████▏     | 77/182 [01:35<02:09,  1.24s/it]
Epoch 16, training loss 0.140:  42%|████▏     | 77/182 [01:35<02:10,  1.25s/it]
Epoch 16, training loss 0.140:  43%|████▎     | 78/182 [01:36<02:08,  1.24s/it]
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Epoch 16, training loss 0.139:  43%|████▎     | 79/182 [01:37<02:07,  1.24s/it]
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Epoch 16, training loss 0.140:  46%|████▌     | 83/182 [01:42<02:01,  1.23s/it]
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Epoch 16, training loss 0.140:  46%|████▌     | 84/182 [01:43<02:00,  1.23s/it]
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Epoch 16, training loss 0.140:  47%|████▋     | 86/182 [01:45<01:57,  1.23s/it]
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Epoch 16, training loss 0.139:  48%|████▊     | 87/182 [01:46<01:56,  1.23s/it]
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Epoch 16, training loss 0.138:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 16, training loss 0.139:  49%|████▉     | 89/182 [01:49<01:54,  1.23s/it]
Epoch 16, training loss 0.139:  49%|████▉     | 90/182 [01:50<01:52,  1.22s/it]
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Epoch 16, training loss 0.139:  50%|█████     | 91/182 [01:51<01:51,  1.22s/it]
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Epoch 16, training loss 0.139:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
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Epoch 16, training loss 0.139:  52%|█████▏    | 94/182 [01:54<01:47,  1.22s/it]
Epoch 16, training loss 0.141:  52%|█████▏    | 94/182 [01:55<01:48,  1.23s/it]
Epoch 16, training loss 0.141:  52%|█████▏    | 95/182 [01:55<01:46,  1.22s/it]
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Epoch 16, training loss 0.140:  53%|█████▎    | 96/182 [01:57<01:44,  1.22s/it]
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Epoch 16, training loss 0.139:  53%|█████▎    | 97/182 [01:58<01:43,  1.22s/it]
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Epoch 16, training loss 0.140:  54%|█████▍    | 98/182 [01:59<01:42,  1.22s/it]
Epoch 16, training loss 0.139:  54%|█████▍    | 98/182 [01:59<01:42,  1.22s/it]
Epoch 16, training loss 0.139:  54%|█████▍    | 99/182 [02:00<01:40,  1.22s/it]
Epoch 16, training loss 0.138:  54%|█████▍    | 99/182 [02:01<01:41,  1.22s/it]
Epoch 16, training loss 0.138:  55%|█████▍    | 100/182 [02:01<01:39,  1.22s/it]
Epoch 16, training loss 0.137:  55%|█████▍    | 100/182 [02:02<01:40,  1.22s/it]
Epoch 16, training loss 0.137:  55%|█████▌    | 101/182 [02:02<01:38,  1.21s/it]
Epoch 16, training loss 0.137:  55%|█████▌    | 101/182 [02:03<01:38,  1.22s/it]
Epoch 16, training loss 0.137:  56%|█████▌    | 102/182 [02:03<01:37,  1.21s/it]
Epoch 16, training loss 0.138:  56%|█████▌    | 102/182 [02:04<01:37,  1.22s/it]
Epoch 16, training loss 0.138:  57%|█████▋    | 103/182 [02:04<01:35,  1.21s/it]
Epoch 16, training loss 0.136:  57%|█████▋    | 103/182 [02:05<01:36,  1.22s/it]
Epoch 16, training loss 0.136:  57%|█████▋    | 104/182 [02:06<01:34,  1.21s/it]
Epoch 16, training loss 0.136:  57%|█████▋    | 104/182 [02:06<01:35,  1.22s/it]
Epoch 16, training loss 0.136:  58%|█████▊    | 105/182 [02:07<01:33,  1.21s/it]
Epoch 16, training loss 0.136:  58%|█████▊    | 105/182 [02:07<01:33,  1.22s/it]
Epoch 16, training loss 0.136:  58%|█████▊    | 106/182 [02:08<01:32,  1.21s/it]
Epoch 16, training loss 0.136:  58%|█████▊    | 106/182 [02:09<01:32,  1.22s/it]
Epoch 16, training loss 0.136:  59%|█████▉    | 107/182 [02:09<01:30,  1.21s/it]
Epoch 16, training loss 0.135:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 16, training loss 0.135:  59%|█████▉    | 108/182 [02:10<01:29,  1.21s/it]
Epoch 16, training loss 0.135:  59%|█████▉    | 108/182 [02:11<01:30,  1.22s/it]
Epoch 16, training loss 0.135:  60%|█████▉    | 109/182 [02:11<01:28,  1.21s/it]
Epoch 16, training loss 0.134:  60%|█████▉    | 109/182 [02:12<01:28,  1.21s/it]
Epoch 16, training loss 0.134:  60%|██████    | 110/182 [02:12<01:27,  1.21s/it]
Epoch 16, training loss 0.133:  60%|██████    | 110/182 [02:13<01:27,  1.21s/it]
Epoch 16, training loss 0.133:  61%|██████    | 111/182 [02:14<01:25,  1.21s/it]
Epoch 16, training loss 0.133:  61%|██████    | 111/182 [02:14<01:26,  1.21s/it]
Epoch 16, training loss 0.133:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 16, training loss 0.132:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 16, training loss 0.132:  62%|██████▏   | 113/182 [02:16<01:23,  1.21s/it]
Epoch 16, training loss 0.133:  62%|██████▏   | 113/182 [02:16<01:23,  1.21s/it]
Epoch 16, training loss 0.133:  63%|██████▎   | 114/182 [02:17<01:21,  1.21s/it]
Epoch 16, training loss 0.133:  63%|██████▎   | 114/182 [02:18<01:22,  1.21s/it]
Epoch 16, training loss 0.133:  63%|██████▎   | 115/182 [02:18<01:20,  1.20s/it]
Epoch 16, training loss 0.132:  63%|██████▎   | 115/182 [02:19<01:21,  1.21s/it]
Epoch 16, training loss 0.132:  64%|██████▎   | 116/182 [02:19<01:19,  1.20s/it]
Epoch 16, training loss 0.131:  64%|██████▎   | 116/182 [02:20<01:19,  1.21s/it]
Epoch 16, training loss 0.131:  64%|██████▍   | 117/182 [02:20<01:18,  1.20s/it]
Epoch 16, training loss 0.131:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 16, training loss 0.131:  65%|██████▍   | 118/182 [02:22<01:17,  1.20s/it]
Epoch 16, training loss 0.130:  65%|██████▍   | 118/182 [02:22<01:17,  1.21s/it]
Epoch 16, training loss 0.130:  65%|██████▌   | 119/182 [02:23<01:15,  1.20s/it]
Epoch 16, training loss 0.130:  65%|██████▌   | 119/182 [02:23<01:16,  1.21s/it]
Epoch 16, training loss 0.130:  66%|██████▌   | 120/182 [02:24<01:14,  1.20s/it]
Epoch 16, training loss 0.130:  66%|██████▌   | 120/182 [02:24<01:14,  1.21s/it]
Epoch 16, training loss 0.130:  66%|██████▋   | 121/182 [02:25<01:13,  1.20s/it]
Epoch 16, training loss 0.130:  66%|██████▋   | 121/182 [02:26<01:13,  1.21s/it]
Epoch 16, training loss 0.130:  67%|██████▋   | 122/182 [02:26<01:12,  1.20s/it]
Epoch 16, training loss 0.130:  67%|██████▋   | 122/182 [02:27<01:12,  1.21s/it]
Epoch 16, training loss 0.130:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 16, training loss 0.132:  68%|██████▊   | 123/182 [02:28<01:11,  1.21s/it]
Epoch 16, training loss 0.132:  68%|██████▊   | 124/182 [02:28<01:09,  1.20s/it]
Epoch 16, training loss 0.132:  68%|██████▊   | 124/182 [02:29<01:10,  1.21s/it]
Epoch 16, training loss 0.132:  69%|██████▊   | 125/182 [02:30<01:08,  1.20s/it]
Epoch 16, training loss 0.132:  69%|██████▊   | 125/182 [02:30<01:08,  1.21s/it]
Epoch 16, training loss 0.132:  69%|██████▉   | 126/182 [02:31<01:07,  1.20s/it]
Epoch 16, training loss 0.131:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 16, training loss 0.131:  70%|██████▉   | 127/182 [02:32<01:06,  1.20s/it]
Epoch 16, training loss 0.130:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 16, training loss 0.130:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 16, training loss 0.130:  70%|███████   | 128/182 [02:34<01:05,  1.21s/it]
Epoch 16, training loss 0.130:  71%|███████   | 129/182 [02:34<01:03,  1.20s/it]
Epoch 16, training loss 0.129:  71%|███████   | 129/182 [02:35<01:03,  1.21s/it]
Epoch 16, training loss 0.129:  71%|███████▏  | 130/182 [02:35<01:02,  1.20s/it]
Epoch 16, training loss 0.129:  71%|███████▏  | 130/182 [02:36<01:02,  1.20s/it]
Epoch 16, training loss 0.129:  72%|███████▏  | 131/182 [02:37<01:01,  1.20s/it]
Epoch 16, training loss 0.129:  72%|███████▏  | 131/182 [02:37<01:01,  1.20s/it]
Epoch 16, training loss 0.129:  73%|███████▎  | 132/182 [02:38<00:59,  1.20s/it]
Epoch 16, training loss 0.128:  73%|███████▎  | 132/182 [02:38<01:00,  1.20s/it]
Epoch 16, training loss 0.128:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 16, training loss 0.129:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 16, training loss 0.129:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
Epoch 16, training loss 0.128:  74%|███████▎  | 134/182 [02:41<00:57,  1.20s/it]
Epoch 16, training loss 0.128:  74%|███████▍  | 135/182 [02:41<00:56,  1.20s/it]
Epoch 16, training loss 0.128:  74%|███████▍  | 135/182 [02:42<00:56,  1.20s/it]
Epoch 16, training loss 0.128:  75%|███████▍  | 136/182 [02:42<00:55,  1.20s/it]
Epoch 16, training loss 0.133:  75%|███████▍  | 136/182 [02:43<00:55,  1.20s/it]
Epoch 16, training loss 0.133:  75%|███████▌  | 137/182 [02:43<00:53,  1.20s/it]
Epoch 16, training loss 0.132:  75%|███████▌  | 137/182 [02:44<00:53,  1.20s/it]
Epoch 16, training loss 0.132:  76%|███████▌  | 138/182 [02:44<00:52,  1.19s/it]
Epoch 16, training loss 0.132:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 16, training loss 0.132:  76%|███████▋  | 139/182 [02:45<00:51,  1.19s/it]
Epoch 16, training loss 0.132:  76%|███████▋  | 139/182 [02:46<00:51,  1.20s/it]
Epoch 16, training loss 0.132:  77%|███████▋  | 140/182 [02:47<00:50,  1.19s/it]
Epoch 16, training loss 0.132:  77%|███████▋  | 140/182 [02:47<00:50,  1.20s/it]
Epoch 16, training loss 0.132:  77%|███████▋  | 141/182 [02:48<00:48,  1.19s/it]
Epoch 16, training loss 0.132:  77%|███████▋  | 141/182 [02:48<00:49,  1.20s/it]
Epoch 16, training loss 0.132:  78%|███████▊  | 142/182 [02:49<00:47,  1.19s/it]
Epoch 16, training loss 0.133:  78%|███████▊  | 142/182 [02:50<00:47,  1.20s/it]
Epoch 16, training loss 0.133:  79%|███████▊  | 143/182 [02:50<00:46,  1.19s/it]
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Epoch 16, training loss 0.132:  79%|███████▉  | 144/182 [02:51<00:45,  1.19s/it]
Epoch 16, training loss 0.132:  79%|███████▉  | 144/182 [02:52<00:45,  1.20s/it]
Epoch 16, training loss 0.132:  80%|███████▉  | 145/182 [02:52<00:44,  1.19s/it]
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Epoch 16, training loss 0.131:  80%|████████  | 146/182 [02:53<00:42,  1.19s/it]
Epoch 16, training loss 0.132:  80%|████████  | 146/182 [02:54<00:43,  1.20s/it]
Epoch 16, training loss 0.132:  81%|████████  | 147/182 [02:55<00:41,  1.19s/it]
Epoch 16, training loss 0.132:  81%|████████  | 147/182 [02:55<00:41,  1.20s/it]
Epoch 16, training loss 0.132:  81%|████████▏ | 148/182 [02:56<00:40,  1.19s/it]
Epoch 16, training loss 0.133:  81%|████████▏ | 148/182 [02:56<00:40,  1.20s/it]
Epoch 16, training loss 0.133:  82%|████████▏ | 149/182 [02:57<00:39,  1.19s/it]
Epoch 16, training loss 0.133:  82%|████████▏ | 149/182 [02:58<00:39,  1.19s/it]
Epoch 16, training loss 0.133:  82%|████████▏ | 150/182 [02:58<00:38,  1.19s/it]
Epoch 16, training loss 0.132:  82%|████████▏ | 150/182 [02:59<00:38,  1.19s/it]
Epoch 16, training loss 0.132:  83%|████████▎ | 151/182 [02:59<00:36,  1.19s/it]
Epoch 16, training loss 0.132:  83%|████████▎ | 151/182 [03:00<00:37,  1.19s/it]
Epoch 16, training loss 0.132:  84%|████████▎ | 152/182 [03:00<00:35,  1.19s/it]
Epoch 16, training loss 0.132:  84%|████████▎ | 152/182 [03:01<00:35,  1.19s/it]
Epoch 16, training loss 0.132:  84%|████████▍ | 153/182 [03:01<00:34,  1.19s/it]
Epoch 16, training loss 0.131:  84%|████████▍ | 153/182 [03:02<00:34,  1.19s/it]
Epoch 16, training loss 0.131:  85%|████████▍ | 154/182 [03:03<00:33,  1.19s/it]
Epoch 16, training loss 0.131:  85%|████████▍ | 154/182 [03:03<00:33,  1.19s/it]
Epoch 16, training loss 0.131:  85%|████████▌ | 155/182 [03:04<00:32,  1.19s/it]
Epoch 16, training loss 0.131:  85%|████████▌ | 155/182 [03:04<00:32,  1.19s/it]
Epoch 16, training loss 0.131:  86%|████████▌ | 156/182 [03:05<00:30,  1.19s/it]
Epoch 16, training loss 0.131:  86%|████████▌ | 156/182 [03:06<00:31,  1.19s/it]
Epoch 16, training loss 0.131:  86%|████████▋ | 157/182 [03:06<00:29,  1.19s/it]
Epoch 16, training loss 0.132:  86%|████████▋ | 157/182 [03:07<00:29,  1.19s/it]
Epoch 16, training loss 0.132:  87%|████████▋ | 158/182 [03:07<00:28,  1.19s/it]
Epoch 16, training loss 0.132:  87%|████████▋ | 158/182 [03:08<00:28,  1.19s/it]
Epoch 16, training loss 0.132:  87%|████████▋ | 159/182 [03:08<00:27,  1.19s/it]
Epoch 16, training loss 0.132:  87%|████████▋ | 159/182 [03:09<00:27,  1.19s/it]
Epoch 16, training loss 0.132:  88%|████████▊ | 160/182 [03:09<00:26,  1.19s/it]
Epoch 16, training loss 0.132:  88%|████████▊ | 160/182 [03:10<00:26,  1.19s/it]
Epoch 16, training loss 0.132:  88%|████████▊ | 161/182 [03:10<00:24,  1.19s/it]
Epoch 16, training loss 0.132:  88%|████████▊ | 161/182 [03:11<00:24,  1.19s/it]
Epoch 16, training loss 0.132:  89%|████████▉ | 162/182 [03:12<00:23,  1.19s/it]
Epoch 16, training loss 0.131:  89%|████████▉ | 162/182 [03:12<00:23,  1.19s/it]
Epoch 16, training loss 0.131:  90%|████████▉ | 163/182 [03:13<00:22,  1.18s/it]
Epoch 16, training loss 0.131:  90%|████████▉ | 163/182 [03:13<00:22,  1.19s/it]
Epoch 16, training loss 0.131:  90%|█████████ | 164/182 [03:14<00:21,  1.18s/it]
Epoch 16, training loss 0.131:  90%|█████████ | 164/182 [03:14<00:21,  1.19s/it]
Epoch 16, training loss 0.131:  91%|█████████ | 165/182 [03:15<00:20,  1.18s/it]
Epoch 16, training loss 0.131:  91%|█████████ | 165/182 [03:16<00:20,  1.19s/it]
Epoch 16, training loss 0.131:  91%|█████████ | 166/182 [03:16<00:18,  1.18s/it]
Epoch 16, training loss 0.130:  91%|█████████ | 166/182 [03:17<00:19,  1.19s/it]
Epoch 16, training loss 0.130:  92%|█████████▏| 167/182 [03:17<00:17,  1.18s/it]
Epoch 16, training loss 0.130:  92%|█████████▏| 167/182 [03:18<00:17,  1.19s/it]
Epoch 16, training loss 0.130:  92%|█████████▏| 168/182 [03:18<00:16,  1.18s/it]
Epoch 16, training loss 0.130:  92%|█████████▏| 168/182 [03:19<00:16,  1.19s/it]
Epoch 16, training loss 0.130:  93%|█████████▎| 169/182 [03:20<00:15,  1.18s/it]
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Epoch 16, training loss 0.129:  93%|█████████▎| 170/182 [03:21<00:14,  1.18s/it]
Epoch 16, training loss 0.129:  93%|█████████▎| 170/182 [03:21<00:14,  1.19s/it]
Epoch 16, training loss 0.129:  94%|█████████▍| 171/182 [03:22<00:13,  1.18s/it]
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Epoch 16, training loss 0.129:  95%|█████████▍| 172/182 [03:23<00:11,  1.18s/it]
Epoch 16, training loss 0.130:  95%|█████████▍| 172/182 [03:24<00:11,  1.19s/it]
Epoch 16, training loss 0.130:  95%|█████████▌| 173/182 [03:24<00:10,  1.18s/it]
Epoch 16, training loss 0.130:  95%|█████████▌| 173/182 [03:25<00:10,  1.19s/it]
Epoch 16, training loss 0.130:  96%|█████████▌| 174/182 [03:25<00:09,  1.18s/it]
Epoch 16, training loss 0.130:  96%|█████████▌| 174/182 [03:26<00:09,  1.19s/it]
Epoch 16, training loss 0.130:  96%|█████████▌| 175/182 [03:26<00:08,  1.18s/it]
Epoch 16, training loss 0.130:  96%|█████████▌| 175/182 [03:27<00:08,  1.19s/it]
Epoch 16, training loss 0.130:  97%|█████████▋| 176/182 [03:28<00:07,  1.18s/it]
Epoch 16, training loss 0.130:  97%|█████████▋| 176/182 [03:28<00:07,  1.19s/it]
Epoch 16, training loss 0.130:  97%|█████████▋| 177/182 [03:29<00:05,  1.18s/it]
Epoch 16, training loss 0.130:  97%|█████████▋| 177/182 [03:29<00:05,  1.19s/it]
Epoch 16, training loss 0.130:  98%|█████████▊| 178/182 [03:30<00:04,  1.18s/it]
Epoch 16, training loss 0.129:  98%|█████████▊| 178/182 [03:30<00:04,  1.18s/it]
Epoch 16, training loss 0.129:  98%|█████████▊| 179/182 [03:31<00:03,  1.18s/it]
Epoch 16, training loss 0.129:  98%|█████████▊| 179/182 [03:32<00:03,  1.18s/it]
Epoch 16, training loss 0.129:  99%|█████████▉| 180/182 [03:32<00:02,  1.18s/it]
Epoch 16, training loss 0.129:  99%|█████████▉| 180/182 [03:33<00:02,  1.18s/it]
Epoch 16, training loss 0.129:  99%|█████████▉| 181/182 [03:33<00:01,  1.18s/it]
Epoch 16, training loss 0.128:  99%|█████████▉| 181/182 [03:34<00:01,  1.18s/it]
Epoch 16, training loss 0.128: 100%|██████████| 182/182 [03:34<00:00,  1.18s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.515:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.515:   1%|          | 1/90 [00:04<07:02,  4.75s/it]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.670:   1%|          | 1/90 [00:05<07:43,  5.21s/it]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.670:   2%|▏         | 2/90 [00:05<03:49,  2.61s/it]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.785:   2%|▏         | 2/90 [00:05<04:07,  2.82s/it]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.785:   3%|▎         | 3/90 [00:05<02:43,  1.88s/it]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.836:   3%|▎         | 3/90 [00:06<02:56,  2.02s/it]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.836:   4%|▍         | 4/90 [00:06<02:10,  1.52s/it]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.891:   4%|▍         | 4/90 [00:06<02:20,  1.63s/it]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.891:   6%|▌         | 5/90 [00:06<01:50,  1.31s/it]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.887:   6%|▌         | 5/90 [00:06<01:58,  1.39s/it]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.887:   7%|▋         | 6/90 [00:06<01:37,  1.16s/it]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.883:   7%|▋         | 6/90 [00:07<01:43,  1.23s/it]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.883:   8%|▊         | 7/90 [00:07<01:27,  1.06s/it]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.885:   8%|▊         | 7/90 [00:07<01:32,  1.12s/it]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.885:   9%|▉         | 8/90 [00:07<01:20,  1.02it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.888:   9%|▉         | 8/90 [00:08<01:24,  1.03s/it]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.888:  10%|█         | 9/90 [00:08<01:13,  1.09it/s]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.895:  10%|█         | 9/90 [00:08<01:18,  1.04it/s]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.895:  11%|█         | 10/90 [00:08<01:09,  1.15it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.895:  11%|█         | 10/90 [00:09<01:12,  1.10it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.895:  12%|█▏        | 11/90 [00:09<01:05,  1.21it/s]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.892:  12%|█▏        | 11/90 [00:09<01:08,  1.16it/s]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.892:  13%|█▎        | 12/90 [00:09<01:01,  1.26it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.898:  13%|█▎        | 12/90 [00:09<01:04,  1.20it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.898:  14%|█▍        | 13/90 [00:09<00:58,  1.31it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.902:  14%|█▍        | 13/90 [00:10<01:01,  1.25it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.902:  16%|█▌        | 14/90 [00:10<00:56,  1.35it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.901:  16%|█▌        | 14/90 [00:10<00:58,  1.29it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.901:  17%|█▋        | 15/90 [00:10<00:54,  1.39it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.905:  17%|█▋        | 15/90 [00:11<00:56,  1.33it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.905:  18%|█▊        | 16/90 [00:11<00:52,  1.42it/s]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.902:  18%|█▊        | 16/90 [00:11<00:54,  1.37it/s]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.902:  19%|█▉        | 17/90 [00:11<00:50,  1.45it/s]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.895:  19%|█▉        | 17/90 [00:12<00:52,  1.40it/s]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.895:  20%|██        | 18/90 [00:12<00:48,  1.48it/s]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.892:  20%|██        | 18/90 [00:12<00:50,  1.43it/s]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.892:  21%|██        | 19/90 [00:12<00:47,  1.51it/s]
Epoch 16, validation pixAcc: 0.974, mIoU: 0.890:  21%|██        | 19/90 [00:13<00:48,  1.46it/s]
Epoch 16, validation pixAcc: 0.974, mIoU: 0.890:  22%|██▏       | 20/90 [00:13<00:45,  1.53it/s]
Epoch 16, validation pixAcc: 0.974, mIoU: 0.890:  22%|██▏       | 20/90 [00:13<00:47,  1.48it/s]
Epoch 16, validation pixAcc: 0.974, mIoU: 0.890:  23%|██▎       | 21/90 [00:13<00:44,  1.55it/s]
Epoch 16, validation pixAcc: 0.974, mIoU: 0.891:  23%|██▎       | 21/90 [00:13<00:45,  1.51it/s]
Epoch 16, validation pixAcc: 0.974, mIoU: 0.891:  24%|██▍       | 22/90 [00:13<00:42,  1.58it/s]
Epoch 16, validation pixAcc: 0.974, mIoU: 0.892:  24%|██▍       | 22/90 [00:14<00:44,  1.54it/s]
Epoch 16, validation pixAcc: 0.974, mIoU: 0.892:  26%|██▌       | 23/90 [00:14<00:41,  1.61it/s]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.891:  26%|██▌       | 23/90 [00:14<00:42,  1.56it/s]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.891:  27%|██▋       | 24/90 [00:14<00:40,  1.63it/s]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.893:  27%|██▋       | 24/90 [00:15<00:41,  1.59it/s]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.893:  28%|██▊       | 25/90 [00:15<00:39,  1.65it/s]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.893:  28%|██▊       | 25/90 [00:15<00:40,  1.61it/s]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.893:  29%|██▉       | 26/90 [00:15<00:38,  1.67it/s]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.897:  29%|██▉       | 26/90 [00:16<00:39,  1.62it/s]
Epoch 16, validation pixAcc: 0.975, mIoU: 0.897:  30%|███       | 27/90 [00:16<00:37,  1.69it/s]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.898:  30%|███       | 27/90 [00:16<00:38,  1.64it/s]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.898:  31%|███       | 28/90 [00:16<00:36,  1.70it/s]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.898:  31%|███       | 28/90 [00:16<00:37,  1.66it/s]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.898:  32%|███▏      | 29/90 [00:16<00:35,  1.72it/s]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.899:  32%|███▏      | 29/90 [00:17<00:36,  1.68it/s]
Epoch 16, validation pixAcc: 0.976, mIoU: 0.899:  33%|███▎      | 30/90 [00:17<00:34,  1.73it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.901:  33%|███▎      | 30/90 [00:17<00:35,  1.69it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.901:  34%|███▍      | 31/90 [00:17<00:33,  1.75it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.903:  34%|███▍      | 31/90 [00:18<00:34,  1.70it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.903:  36%|███▌      | 32/90 [00:18<00:32,  1.76it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.904:  36%|███▌      | 32/90 [00:18<00:33,  1.72it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.904:  37%|███▋      | 33/90 [00:18<00:32,  1.77it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.905:  37%|███▋      | 33/90 [00:19<00:33,  1.73it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.905:  38%|███▊      | 34/90 [00:19<00:31,  1.78it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.905:  38%|███▊      | 34/90 [00:19<00:32,  1.74it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.905:  39%|███▉      | 35/90 [00:19<00:30,  1.79it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.905:  39%|███▉      | 35/90 [00:19<00:31,  1.75it/s]
Epoch 16, validation pixAcc: 0.977, mIoU: 0.905:  40%|████      | 36/90 [00:19<00:29,  1.80it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.906:  40%|████      | 36/90 [00:20<00:30,  1.76it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.906:  41%|████      | 37/90 [00:20<00:29,  1.81it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.905:  41%|████      | 37/90 [00:20<00:29,  1.77it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.905:  42%|████▏     | 38/90 [00:20<00:28,  1.82it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.906:  42%|████▏     | 38/90 [00:21<00:29,  1.79it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.906:  43%|████▎     | 39/90 [00:21<00:27,  1.84it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.907:  43%|████▎     | 39/90 [00:21<00:28,  1.80it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.907:  44%|████▍     | 40/90 [00:21<00:27,  1.85it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.907:  44%|████▍     | 40/90 [00:22<00:27,  1.82it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.907:  46%|████▌     | 41/90 [00:22<00:26,  1.86it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.908:  46%|████▌     | 41/90 [00:22<00:26,  1.83it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.908:  47%|████▋     | 42/90 [00:22<00:25,  1.87it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.908:  47%|████▋     | 42/90 [00:22<00:26,  1.84it/s]
Epoch 16, validation pixAcc: 0.978, mIoU: 0.908:  48%|████▊     | 43/90 [00:22<00:25,  1.88it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.909:  48%|████▊     | 43/90 [00:23<00:25,  1.84it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.909:  49%|████▉     | 44/90 [00:23<00:24,  1.89it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.909:  49%|████▉     | 44/90 [00:23<00:24,  1.85it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.909:  50%|█████     | 45/90 [00:23<00:23,  1.89it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.909:  50%|█████     | 45/90 [00:24<00:24,  1.86it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.909:  51%|█████     | 46/90 [00:24<00:23,  1.90it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.910:  51%|█████     | 46/90 [00:24<00:23,  1.87it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.910:  52%|█████▏    | 47/90 [00:24<00:22,  1.91it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.909:  52%|█████▏    | 47/90 [00:25<00:22,  1.88it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.909:  53%|█████▎    | 48/90 [00:25<00:21,  1.91it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.909:  53%|█████▎    | 48/90 [00:25<00:22,  1.88it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.909:  54%|█████▍    | 49/90 [00:25<00:21,  1.92it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.910:  54%|█████▍    | 49/90 [00:25<00:21,  1.89it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.910:  56%|█████▌    | 50/90 [00:25<00:20,  1.93it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.911:  56%|█████▌    | 50/90 [00:26<00:21,  1.90it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.911:  57%|█████▋    | 51/90 [00:26<00:20,  1.94it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.911:  57%|█████▋    | 51/90 [00:26<00:20,  1.91it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.911:  58%|█████▊    | 52/90 [00:26<00:19,  1.94it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.910:  58%|█████▊    | 52/90 [00:27<00:19,  1.91it/s]
Epoch 16, validation pixAcc: 0.979, mIoU: 0.910:  59%|█████▉    | 53/90 [00:27<00:18,  1.95it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.910:  59%|█████▉    | 53/90 [00:27<00:19,  1.92it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.910:  60%|██████    | 54/90 [00:27<00:18,  1.95it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.911:  60%|██████    | 54/90 [00:28<00:18,  1.92it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.911:  61%|██████    | 55/90 [00:28<00:17,  1.96it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.911:  61%|██████    | 55/90 [00:28<00:18,  1.93it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.911:  62%|██████▏   | 56/90 [00:28<00:17,  1.96it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.912:  62%|██████▏   | 56/90 [00:28<00:17,  1.93it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.912:  63%|██████▎   | 57/90 [00:28<00:16,  1.97it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.912:  63%|██████▎   | 57/90 [00:29<00:17,  1.94it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.912:  64%|██████▍   | 58/90 [00:29<00:16,  1.97it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.911:  64%|██████▍   | 58/90 [00:29<00:16,  1.95it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.911:  66%|██████▌   | 59/90 [00:29<00:15,  1.98it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.912:  66%|██████▌   | 59/90 [00:30<00:15,  1.95it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.912:  67%|██████▋   | 60/90 [00:30<00:15,  1.98it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.913:  67%|██████▋   | 60/90 [00:30<00:15,  1.96it/s]
Epoch 16, validation pixAcc: 0.980, mIoU: 0.913:  68%|██████▊   | 61/90 [00:30<00:14,  1.99it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.913:  68%|██████▊   | 61/90 [00:31<00:14,  1.96it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.913:  69%|██████▉   | 62/90 [00:31<00:14,  1.99it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.913:  69%|██████▉   | 62/90 [00:31<00:14,  1.96it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.913:  70%|███████   | 63/90 [00:31<00:13,  2.00it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.914:  70%|███████   | 63/90 [00:31<00:13,  1.97it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.914:  71%|███████   | 64/90 [00:31<00:12,  2.00it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.914:  71%|███████   | 64/90 [00:32<00:13,  1.97it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.914:  72%|███████▏  | 65/90 [00:32<00:12,  2.00it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.915:  72%|███████▏  | 65/90 [00:32<00:12,  1.98it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.915:  73%|███████▎  | 66/90 [00:32<00:11,  2.01it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.915:  73%|███████▎  | 66/90 [00:33<00:12,  1.98it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.915:  74%|███████▍  | 67/90 [00:33<00:11,  2.01it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.914:  74%|███████▍  | 67/90 [00:33<00:11,  1.99it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.914:  76%|███████▌  | 68/90 [00:33<00:10,  2.02it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.915:  76%|███████▌  | 68/90 [00:34<00:11,  1.99it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.915:  77%|███████▋  | 69/90 [00:34<00:10,  2.02it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.915:  77%|███████▋  | 69/90 [00:34<00:10,  2.00it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.915:  78%|███████▊  | 70/90 [00:34<00:09,  2.03it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.915:  78%|███████▊  | 70/90 [00:34<00:09,  2.00it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.915:  79%|███████▉  | 71/90 [00:34<00:09,  2.03it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.916:  79%|███████▉  | 71/90 [00:35<00:09,  2.00it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.916:  80%|████████  | 72/90 [00:35<00:08,  2.03it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.915:  80%|████████  | 72/90 [00:35<00:08,  2.01it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.915:  81%|████████  | 73/90 [00:35<00:08,  2.04it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.916:  81%|████████  | 73/90 [00:36<00:08,  2.01it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.916:  82%|████████▏ | 74/90 [00:36<00:07,  2.04it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.916:  82%|████████▏ | 74/90 [00:36<00:07,  2.02it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.916:  83%|████████▎ | 75/90 [00:36<00:07,  2.05it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.916:  83%|████████▎ | 75/90 [00:37<00:07,  2.02it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.916:  84%|████████▍ | 76/90 [00:37<00:06,  2.05it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.917:  84%|████████▍ | 76/90 [00:37<00:06,  2.03it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.917:  86%|████████▌ | 77/90 [00:37<00:06,  2.06it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.916:  86%|████████▌ | 77/90 [00:37<00:06,  2.03it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.916:  87%|████████▋ | 78/90 [00:37<00:05,  2.06it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.917:  87%|████████▋ | 78/90 [00:38<00:05,  2.03it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.917:  88%|████████▊ | 79/90 [00:38<00:05,  2.06it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.918:  88%|████████▊ | 79/90 [00:38<00:05,  2.04it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.918:  89%|████████▉ | 80/90 [00:38<00:04,  2.07it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.918:  89%|████████▉ | 80/90 [00:39<00:04,  2.04it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.918:  90%|█████████ | 81/90 [00:39<00:04,  2.07it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.918:  90%|█████████ | 81/90 [00:39<00:04,  2.05it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.918:  91%|█████████ | 82/90 [00:39<00:03,  2.07it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.919:  91%|█████████ | 82/90 [00:39<00:03,  2.05it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.919:  92%|█████████▏| 83/90 [00:39<00:03,  2.08it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.918:  92%|█████████▏| 83/90 [00:40<00:03,  2.06it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.918:  93%|█████████▎| 84/90 [00:40<00:02,  2.08it/s]
Epoch 16, validation pixAcc: 0.982, mIoU: 0.919:  93%|█████████▎| 84/90 [00:40<00:02,  2.06it/s]
Epoch 16, validation pixAcc: 0.982, mIoU: 0.919:  94%|█████████▍| 85/90 [00:40<00:02,  2.08it/s]
Epoch 16, validation pixAcc: 0.982, mIoU: 0.919:  94%|█████████▍| 85/90 [00:41<00:02,  2.06it/s]
Epoch 16, validation pixAcc: 0.982, mIoU: 0.919:  96%|█████████▌| 86/90 [00:41<00:01,  2.09it/s]
Epoch 16, validation pixAcc: 0.982, mIoU: 0.918:  96%|█████████▌| 86/90 [00:41<00:01,  2.07it/s]
Epoch 16, validation pixAcc: 0.982, mIoU: 0.918:  97%|█████████▋| 87/90 [00:41<00:01,  2.09it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.918:  97%|█████████▋| 87/90 [00:41<00:01,  2.07it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.918:  98%|█████████▊| 88/90 [00:41<00:00,  2.10it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.918:  98%|█████████▊| 88/90 [00:42<00:00,  2.08it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.918:  99%|█████████▉| 89/90 [00:42<00:00,  2.10it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.918:  99%|█████████▉| 89/90 [00:42<00:00,  2.08it/s]
Epoch 16, validation pixAcc: 0.981, mIoU: 0.918: 100%|██████████| 90/90 [00:42<00:00,  2.10it/s]

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Epoch 17, training loss 0.218:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 17, training loss 0.218:   1%|          | 1/182 [00:05<16:34,  5.49s/it]
Epoch 17, training loss 0.151:   1%|          | 1/182 [00:06<18:40,  6.19s/it]
Epoch 17, training loss 0.151:   1%|          | 2/182 [00:06<10:05,  3.36s/it]
Epoch 17, training loss 0.126:   1%|          | 2/182 [00:07<11:05,  3.70s/it]
Epoch 17, training loss 0.126:   2%|▏         | 3/182 [00:07<07:53,  2.64s/it]
Epoch 17, training loss 0.110:   2%|▏         | 3/182 [00:08<08:33,  2.87s/it]
Epoch 17, training loss 0.110:   2%|▏         | 4/182 [00:09<06:45,  2.28s/it]
Epoch 17, training loss 0.124:   2%|▏         | 4/182 [00:09<07:14,  2.44s/it]
Epoch 17, training loss 0.124:   3%|▎         | 5/182 [00:10<06:03,  2.05s/it]
Epoch 17, training loss 0.121:   3%|▎         | 5/182 [00:10<06:26,  2.18s/it]
Epoch 17, training loss 0.121:   3%|▎         | 6/182 [00:11<05:34,  1.90s/it]
Epoch 17, training loss 0.108:   3%|▎         | 6/182 [00:12<05:55,  2.02s/it]
Epoch 17, training loss 0.108:   4%|▍         | 7/182 [00:12<05:15,  1.80s/it]
Epoch 17, training loss 0.108:   4%|▍         | 7/182 [00:13<05:31,  1.90s/it]
Epoch 17, training loss 0.108:   4%|▍         | 8/182 [00:13<04:59,  1.72s/it]
Epoch 17, training loss 0.107:   4%|▍         | 8/182 [00:14<05:12,  1.80s/it]
Epoch 17, training loss 0.107:   5%|▍         | 9/182 [00:14<04:46,  1.65s/it]
Epoch 17, training loss 0.112:   5%|▍         | 9/182 [00:15<04:58,  1.73s/it]
Epoch 17, training loss 0.112:   5%|▌         | 10/182 [00:16<04:36,  1.61s/it]
Epoch 17, training loss 0.106:   5%|▌         | 10/182 [00:16<04:46,  1.67s/it]
Epoch 17, training loss 0.106:   6%|▌         | 11/182 [00:17<04:27,  1.56s/it]
Epoch 17, training loss 0.100:   6%|▌         | 11/182 [00:17<04:36,  1.62s/it]
Epoch 17, training loss 0.100:   7%|▋         | 12/182 [00:18<04:19,  1.52s/it]
Epoch 17, training loss 0.097:   7%|▋         | 12/182 [00:18<04:28,  1.58s/it]
Epoch 17, training loss 0.097:   7%|▋         | 13/182 [00:19<04:13,  1.50s/it]
Epoch 17, training loss 0.096:   7%|▋         | 13/182 [00:20<04:22,  1.55s/it]
Epoch 17, training loss 0.096:   8%|▊         | 14/182 [00:20<04:08,  1.48s/it]
Epoch 17, training loss 0.096:   8%|▊         | 14/182 [00:21<04:15,  1.52s/it]
Epoch 17, training loss 0.096:   8%|▊         | 15/182 [00:21<04:02,  1.45s/it]
Epoch 17, training loss 0.093:   8%|▊         | 15/182 [00:22<04:10,  1.50s/it]
Epoch 17, training loss 0.093:   9%|▉         | 16/182 [00:23<03:58,  1.44s/it]
Epoch 17, training loss 0.101:   9%|▉         | 16/182 [00:23<04:05,  1.48s/it]
Epoch 17, training loss 0.101:   9%|▉         | 17/182 [00:24<03:54,  1.42s/it]
Epoch 17, training loss 0.114:   9%|▉         | 17/182 [00:24<04:00,  1.46s/it]
Epoch 17, training loss 0.114:  10%|▉         | 18/182 [00:25<03:49,  1.40s/it]
Epoch 17, training loss 0.114:  10%|▉         | 18/182 [00:25<03:55,  1.44s/it]
Epoch 17, training loss 0.114:  10%|█         | 19/182 [00:26<03:46,  1.39s/it]
Epoch 17, training loss 0.110:  10%|█         | 19/182 [00:26<03:51,  1.42s/it]
Epoch 17, training loss 0.110:  11%|█         | 20/182 [00:27<03:42,  1.37s/it]
Epoch 17, training loss 0.112:  11%|█         | 20/182 [00:28<03:47,  1.41s/it]
Epoch 17, training loss 0.112:  12%|█▏        | 21/182 [00:28<03:39,  1.36s/it]
Epoch 17, training loss 0.110:  12%|█▏        | 21/182 [00:29<03:44,  1.40s/it]
Epoch 17, training loss 0.110:  12%|█▏        | 22/182 [00:29<03:36,  1.36s/it]
Epoch 17, training loss 0.113:  12%|█▏        | 22/182 [00:30<03:41,  1.39s/it]
Epoch 17, training loss 0.113:  13%|█▎        | 23/182 [00:31<03:34,  1.35s/it]
Epoch 17, training loss 0.110:  13%|█▎        | 23/182 [00:31<03:38,  1.38s/it]
Epoch 17, training loss 0.110:  13%|█▎        | 24/182 [00:32<03:31,  1.34s/it]
Epoch 17, training loss 0.112:  13%|█▎        | 24/182 [00:32<03:35,  1.36s/it]
Epoch 17, training loss 0.112:  14%|█▎        | 25/182 [00:33<03:28,  1.33s/it]
Epoch 17, training loss 0.112:  14%|█▎        | 25/182 [00:33<03:33,  1.36s/it]
Epoch 17, training loss 0.112:  14%|█▍        | 26/182 [00:34<03:26,  1.32s/it]
Epoch 17, training loss 0.109:  14%|█▍        | 26/182 [00:35<03:31,  1.35s/it]
Epoch 17, training loss 0.109:  15%|█▍        | 27/182 [00:35<03:24,  1.32s/it]
Epoch 17, training loss 0.118:  15%|█▍        | 27/182 [00:36<03:28,  1.34s/it]
Epoch 17, training loss 0.118:  15%|█▌        | 28/182 [00:36<03:22,  1.31s/it]
Epoch 17, training loss 0.118:  15%|█▌        | 28/182 [00:37<03:26,  1.34s/it]
Epoch 17, training loss 0.118:  16%|█▌        | 29/182 [00:37<03:20,  1.31s/it]
Epoch 17, training loss 0.118:  16%|█▌        | 29/182 [00:38<03:24,  1.34s/it]
Epoch 17, training loss 0.118:  16%|█▋        | 30/182 [00:39<03:18,  1.31s/it]
Epoch 17, training loss 0.120:  16%|█▋        | 30/182 [00:39<03:21,  1.33s/it]
Epoch 17, training loss 0.120:  17%|█▋        | 31/182 [00:40<03:16,  1.30s/it]
Epoch 17, training loss 0.118:  17%|█▋        | 31/182 [00:40<03:19,  1.32s/it]
Epoch 17, training loss 0.118:  18%|█▊        | 32/182 [00:41<03:14,  1.30s/it]
Epoch 17, training loss 0.115:  18%|█▊        | 32/182 [00:42<03:17,  1.32s/it]
Epoch 17, training loss 0.115:  18%|█▊        | 33/182 [00:42<03:12,  1.29s/it]
Epoch 17, training loss 0.120:  18%|█▊        | 33/182 [00:43<03:15,  1.31s/it]
Epoch 17, training loss 0.120:  19%|█▊        | 34/182 [00:43<03:10,  1.29s/it]
Epoch 17, training loss 0.123:  19%|█▊        | 34/182 [00:44<03:13,  1.30s/it]
Epoch 17, training loss 0.123:  19%|█▉        | 35/182 [00:44<03:08,  1.28s/it]
Epoch 17, training loss 0.121:  19%|█▉        | 35/182 [00:45<03:10,  1.30s/it]
Epoch 17, training loss 0.121:  20%|█▉        | 36/182 [00:45<03:06,  1.28s/it]
Epoch 17, training loss 0.123:  20%|█▉        | 36/182 [00:46<03:09,  1.30s/it]
Epoch 17, training loss 0.123:  20%|██        | 37/182 [00:47<03:04,  1.28s/it]
Epoch 17, training loss 0.121:  20%|██        | 37/182 [00:47<03:07,  1.29s/it]
Epoch 17, training loss 0.121:  21%|██        | 38/182 [00:48<03:03,  1.27s/it]
Epoch 17, training loss 0.124:  21%|██        | 38/182 [00:49<03:05,  1.29s/it]
Epoch 17, training loss 0.124:  21%|██▏       | 39/182 [00:49<03:01,  1.27s/it]
Epoch 17, training loss 0.125:  21%|██▏       | 39/182 [00:50<03:03,  1.29s/it]
Epoch 17, training loss 0.125:  22%|██▏       | 40/182 [00:50<02:59,  1.27s/it]
Epoch 17, training loss 0.125:  22%|██▏       | 40/182 [00:51<03:02,  1.28s/it]
Epoch 17, training loss 0.125:  23%|██▎       | 41/182 [00:51<02:58,  1.26s/it]
Epoch 17, training loss 0.123:  23%|██▎       | 41/182 [00:52<03:00,  1.28s/it]
Epoch 17, training loss 0.123:  23%|██▎       | 42/182 [00:53<02:56,  1.26s/it]
Epoch 17, training loss 0.122:  23%|██▎       | 42/182 [00:53<02:58,  1.28s/it]
Epoch 17, training loss 0.122:  24%|██▎       | 43/182 [00:54<02:55,  1.26s/it]
Epoch 17, training loss 0.120:  24%|██▎       | 43/182 [00:54<02:57,  1.27s/it]
Epoch 17, training loss 0.120:  24%|██▍       | 44/182 [00:55<02:53,  1.26s/it]
Epoch 17, training loss 0.119:  24%|██▍       | 44/182 [00:55<02:55,  1.27s/it]
Epoch 17, training loss 0.119:  25%|██▍       | 45/182 [00:56<02:51,  1.25s/it]
Epoch 17, training loss 0.121:  25%|██▍       | 45/182 [00:57<02:53,  1.27s/it]
Epoch 17, training loss 0.121:  25%|██▌       | 46/182 [00:57<02:50,  1.25s/it]
Epoch 17, training loss 0.119:  25%|██▌       | 46/182 [00:58<02:52,  1.27s/it]
Epoch 17, training loss 0.119:  26%|██▌       | 47/182 [00:58<02:48,  1.25s/it]
Epoch 17, training loss 0.119:  26%|██▌       | 47/182 [00:59<02:50,  1.26s/it]
Epoch 17, training loss 0.119:  26%|██▋       | 48/182 [00:59<02:47,  1.25s/it]
Epoch 17, training loss 0.118:  26%|██▋       | 48/182 [01:00<02:49,  1.26s/it]
Epoch 17, training loss 0.118:  27%|██▋       | 49/182 [01:01<02:45,  1.25s/it]
Epoch 17, training loss 0.122:  27%|██▋       | 49/182 [01:01<02:47,  1.26s/it]
Epoch 17, training loss 0.122:  27%|██▋       | 50/182 [01:02<02:44,  1.24s/it]
Epoch 17, training loss 0.122:  27%|██▋       | 50/182 [01:02<02:45,  1.26s/it]
Epoch 17, training loss 0.122:  28%|██▊       | 51/182 [01:03<02:42,  1.24s/it]
Epoch 17, training loss 0.121:  28%|██▊       | 51/182 [01:04<02:44,  1.26s/it]
Epoch 17, training loss 0.121:  29%|██▊       | 52/182 [01:04<02:41,  1.24s/it]
Epoch 17, training loss 0.121:  29%|██▊       | 52/182 [01:05<02:43,  1.26s/it]
Epoch 17, training loss 0.121:  29%|██▉       | 53/182 [01:05<02:40,  1.24s/it]
Epoch 17, training loss 0.120:  29%|██▉       | 53/182 [01:06<02:41,  1.25s/it]
Epoch 17, training loss 0.120:  30%|██▉       | 54/182 [01:06<02:38,  1.24s/it]
Epoch 17, training loss 0.123:  30%|██▉       | 54/182 [01:07<02:40,  1.25s/it]
Epoch 17, training loss 0.123:  30%|███       | 55/182 [01:08<02:37,  1.24s/it]
Epoch 17, training loss 0.122:  30%|███       | 55/182 [01:08<02:38,  1.25s/it]
Epoch 17, training loss 0.122:  31%|███       | 56/182 [01:09<02:35,  1.24s/it]
Epoch 17, training loss 0.120:  31%|███       | 56/182 [01:09<02:37,  1.25s/it]
Epoch 17, training loss 0.120:  31%|███▏      | 57/182 [01:10<02:34,  1.23s/it]
Epoch 17, training loss 0.120:  31%|███▏      | 57/182 [01:10<02:35,  1.25s/it]
Epoch 17, training loss 0.120:  32%|███▏      | 58/182 [01:11<02:32,  1.23s/it]
Epoch 17, training loss 0.118:  32%|███▏      | 58/182 [01:12<02:34,  1.24s/it]
Epoch 17, training loss 0.118:  32%|███▏      | 59/182 [01:12<02:31,  1.23s/it]
Epoch 17, training loss 0.118:  32%|███▏      | 59/182 [01:13<02:32,  1.24s/it]
Epoch 17, training loss 0.118:  33%|███▎      | 60/182 [01:13<02:29,  1.23s/it]
Epoch 17, training loss 0.125:  33%|███▎      | 60/182 [01:14<02:31,  1.24s/it]
Epoch 17, training loss 0.125:  34%|███▎      | 61/182 [01:14<02:28,  1.23s/it]
Epoch 17, training loss 0.128:  34%|███▎      | 61/182 [01:15<02:29,  1.24s/it]
Epoch 17, training loss 0.128:  34%|███▍      | 62/182 [01:16<02:27,  1.23s/it]
Epoch 17, training loss 0.128:  34%|███▍      | 62/182 [01:16<02:28,  1.24s/it]
Epoch 17, training loss 0.128:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 17, training loss 0.132:  35%|███▍      | 63/182 [01:17<02:27,  1.24s/it]
Epoch 17, training loss 0.132:  35%|███▌      | 64/182 [01:18<02:24,  1.23s/it]
Epoch 17, training loss 0.130:  35%|███▌      | 64/182 [01:18<02:25,  1.23s/it]
Epoch 17, training loss 0.130:  36%|███▌      | 65/182 [01:19<02:23,  1.22s/it]
Epoch 17, training loss 0.130:  36%|███▌      | 65/182 [01:20<02:24,  1.23s/it]
Epoch 17, training loss 0.130:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 17, training loss 0.130:  36%|███▋      | 66/182 [01:21<02:22,  1.23s/it]
Epoch 17, training loss 0.130:  37%|███▋      | 67/182 [01:21<02:20,  1.22s/it]
Epoch 17, training loss 0.130:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 17, training loss 0.130:  37%|███▋      | 68/182 [01:22<02:19,  1.22s/it]
Epoch 17, training loss 0.133:  37%|███▋      | 68/182 [01:23<02:20,  1.23s/it]
Epoch 17, training loss 0.133:  38%|███▊      | 69/182 [01:24<02:17,  1.22s/it]
Epoch 17, training loss 0.138:  38%|███▊      | 69/182 [01:24<02:18,  1.23s/it]
Epoch 17, training loss 0.138:  38%|███▊      | 70/182 [01:25<02:16,  1.22s/it]
Epoch 17, training loss 0.138:  38%|███▊      | 70/182 [01:25<02:17,  1.23s/it]
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Epoch 17, training loss 0.137:  39%|███▉      | 71/182 [01:26<02:15,  1.22s/it]
Epoch 17, training loss 0.137:  40%|███▉      | 72/182 [01:27<02:13,  1.21s/it]
Epoch 17, training loss 0.136:  40%|███▉      | 72/182 [01:28<02:14,  1.22s/it]
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Epoch 17, training loss 0.135:  41%|████      | 74/182 [01:29<02:10,  1.21s/it]
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Epoch 17, training loss 0.136:  42%|████▏     | 76/182 [01:32<02:08,  1.21s/it]
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Epoch 17, training loss 0.134:  43%|████▎     | 78/182 [01:34<02:05,  1.21s/it]
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Epoch 17, training loss 0.132:  46%|████▌     | 83/182 [01:40<01:59,  1.21s/it]
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Epoch 17, training loss 0.131:  46%|████▌     | 84/182 [01:41<01:58,  1.20s/it]
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Epoch 17, training loss 0.130:  47%|████▋     | 85/182 [01:42<01:56,  1.20s/it]
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Epoch 17, training loss 0.131:  47%|████▋     | 86/182 [01:43<01:55,  1.20s/it]
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Epoch 17, training loss 0.130:  48%|████▊     | 87/182 [01:44<01:54,  1.20s/it]
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Epoch 17, training loss 0.130:  48%|████▊     | 88/182 [01:45<01:52,  1.20s/it]
Epoch 17, training loss 0.129:  48%|████▊     | 88/182 [01:46<01:53,  1.21s/it]
Epoch 17, training loss 0.129:  49%|████▉     | 89/182 [01:46<01:51,  1.20s/it]
Epoch 17, training loss 0.128:  49%|████▉     | 89/182 [01:47<01:52,  1.21s/it]
Epoch 17, training loss 0.128:  49%|████▉     | 90/182 [01:48<01:50,  1.20s/it]
Epoch 17, training loss 0.127:  49%|████▉     | 90/182 [01:48<01:51,  1.21s/it]
Epoch 17, training loss 0.127:  50%|█████     | 91/182 [01:49<01:49,  1.20s/it]
Epoch 17, training loss 0.125:  50%|█████     | 91/182 [01:50<01:50,  1.21s/it]
Epoch 17, training loss 0.125:  51%|█████     | 92/182 [01:50<01:48,  1.20s/it]
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Epoch 17, training loss 0.125:  52%|█████▏    | 95/182 [01:53<01:44,  1.20s/it]
Epoch 17, training loss 0.124:  52%|█████▏    | 95/182 [01:54<01:44,  1.21s/it]
Epoch 17, training loss 0.124:  53%|█████▎    | 96/182 [01:55<01:43,  1.20s/it]
Epoch 17, training loss 0.123:  53%|█████▎    | 96/182 [01:55<01:43,  1.21s/it]
Epoch 17, training loss 0.123:  53%|█████▎    | 97/182 [01:56<01:41,  1.20s/it]
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Epoch 17, training loss 0.125:  54%|█████▍    | 98/182 [01:57<01:40,  1.20s/it]
Epoch 17, training loss 0.126:  54%|█████▍    | 98/182 [01:57<01:41,  1.20s/it]
Epoch 17, training loss 0.126:  54%|█████▍    | 99/182 [01:58<01:39,  1.20s/it]
Epoch 17, training loss 0.126:  54%|█████▍    | 99/182 [01:59<01:39,  1.20s/it]
Epoch 17, training loss 0.126:  55%|█████▍    | 100/182 [01:59<01:38,  1.20s/it]
Epoch 17, training loss 0.125:  55%|█████▍    | 100/182 [02:00<01:38,  1.20s/it]
Epoch 17, training loss 0.125:  55%|█████▌    | 101/182 [02:00<01:36,  1.20s/it]
Epoch 17, training loss 0.124:  55%|█████▌    | 101/182 [02:01<01:37,  1.20s/it]
Epoch 17, training loss 0.124:  56%|█████▌    | 102/182 [02:01<01:35,  1.19s/it]
Epoch 17, training loss 0.124:  56%|█████▌    | 102/182 [02:02<01:36,  1.20s/it]
Epoch 17, training loss 0.124:  57%|█████▋    | 103/182 [02:02<01:34,  1.19s/it]
Epoch 17, training loss 0.123:  57%|█████▋    | 103/182 [02:03<01:34,  1.20s/it]
Epoch 17, training loss 0.123:  57%|█████▋    | 104/182 [02:04<01:33,  1.19s/it]
Epoch 17, training loss 0.124:  57%|█████▋    | 104/182 [02:04<01:33,  1.20s/it]
Epoch 17, training loss 0.124:  58%|█████▊    | 105/182 [02:05<01:31,  1.19s/it]
Epoch 17, training loss 0.124:  58%|█████▊    | 105/182 [02:05<01:32,  1.20s/it]
Epoch 17, training loss 0.124:  58%|█████▊    | 106/182 [02:06<01:30,  1.19s/it]
Epoch 17, training loss 0.124:  58%|█████▊    | 106/182 [02:06<01:30,  1.20s/it]
Epoch 17, training loss 0.124:  59%|█████▉    | 107/182 [02:07<01:29,  1.19s/it]
Epoch 17, training loss 0.124:  59%|█████▉    | 107/182 [02:07<01:29,  1.20s/it]
Epoch 17, training loss 0.124:  59%|█████▉    | 108/182 [02:08<01:28,  1.19s/it]
Epoch 17, training loss 0.123:  59%|█████▉    | 108/182 [02:09<01:28,  1.20s/it]
Epoch 17, training loss 0.123:  60%|█████▉    | 109/182 [02:09<01:26,  1.19s/it]
Epoch 17, training loss 0.123:  60%|█████▉    | 109/182 [02:10<01:27,  1.20s/it]
Epoch 17, training loss 0.123:  60%|██████    | 110/182 [02:10<01:25,  1.19s/it]
Epoch 17, training loss 0.122:  60%|██████    | 110/182 [02:11<01:26,  1.19s/it]
Epoch 17, training loss 0.122:  61%|██████    | 111/182 [02:11<01:24,  1.19s/it]
Epoch 17, training loss 0.122:  61%|██████    | 111/182 [02:12<01:24,  1.19s/it]
Epoch 17, training loss 0.122:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 17, training loss 0.121:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 17, training loss 0.121:  62%|██████▏   | 113/182 [02:14<01:21,  1.19s/it]
Epoch 17, training loss 0.121:  62%|██████▏   | 113/182 [02:14<01:22,  1.19s/it]
Epoch 17, training loss 0.121:  63%|██████▎   | 114/182 [02:15<01:20,  1.19s/it]
Epoch 17, training loss 0.121:  63%|██████▎   | 114/182 [02:15<01:21,  1.19s/it]
Epoch 17, training loss 0.121:  63%|██████▎   | 115/182 [02:16<01:19,  1.19s/it]
Epoch 17, training loss 0.120:  63%|██████▎   | 115/182 [02:17<01:19,  1.19s/it]
Epoch 17, training loss 0.120:  64%|██████▎   | 116/182 [02:17<01:18,  1.19s/it]
Epoch 17, training loss 0.120:  64%|██████▎   | 116/182 [02:18<01:18,  1.19s/it]
Epoch 17, training loss 0.120:  64%|██████▍   | 117/182 [02:18<01:17,  1.19s/it]
Epoch 17, training loss 0.121:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 17, training loss 0.121:  65%|██████▍   | 118/182 [02:19<01:15,  1.18s/it]
Epoch 17, training loss 0.121:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 17, training loss 0.121:  65%|██████▌   | 119/182 [02:20<01:14,  1.18s/it]
Epoch 17, training loss 0.122:  65%|██████▌   | 119/182 [02:21<01:14,  1.19s/it]
Epoch 17, training loss 0.122:  66%|██████▌   | 120/182 [02:21<01:13,  1.18s/it]
Epoch 17, training loss 0.121:  66%|██████▌   | 120/182 [02:22<01:13,  1.19s/it]
Epoch 17, training loss 0.121:  66%|██████▋   | 121/182 [02:23<01:12,  1.18s/it]
Epoch 17, training loss 0.121:  66%|██████▋   | 121/182 [02:23<01:12,  1.19s/it]
Epoch 17, training loss 0.121:  67%|██████▋   | 122/182 [02:24<01:10,  1.18s/it]
Epoch 17, training loss 0.120:  67%|██████▋   | 122/182 [02:24<01:11,  1.19s/it]
Epoch 17, training loss 0.120:  68%|██████▊   | 123/182 [02:25<01:09,  1.18s/it]
Epoch 17, training loss 0.120:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 17, training loss 0.120:  68%|██████▊   | 124/182 [02:26<01:08,  1.18s/it]
Epoch 17, training loss 0.119:  68%|██████▊   | 124/182 [02:27<01:08,  1.19s/it]
Epoch 17, training loss 0.119:  69%|██████▊   | 125/182 [02:27<01:07,  1.18s/it]
Epoch 17, training loss 0.119:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 17, training loss 0.119:  69%|██████▉   | 126/182 [02:28<01:06,  1.18s/it]
Epoch 17, training loss 0.121:  69%|██████▉   | 126/182 [02:29<01:06,  1.19s/it]
Epoch 17, training loss 0.121:  70%|██████▉   | 127/182 [02:29<01:04,  1.18s/it]
Epoch 17, training loss 0.120:  70%|██████▉   | 127/182 [02:30<01:05,  1.19s/it]
Epoch 17, training loss 0.120:  70%|███████   | 128/182 [02:31<01:03,  1.18s/it]
Epoch 17, training loss 0.120:  70%|███████   | 128/182 [02:31<01:03,  1.18s/it]
Epoch 17, training loss 0.120:  71%|███████   | 129/182 [02:32<01:02,  1.18s/it]
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Epoch 17, training loss 0.120:  71%|███████▏  | 130/182 [02:33<01:01,  1.18s/it]
Epoch 17, training loss 0.119:  71%|███████▏  | 130/182 [02:33<01:01,  1.18s/it]
Epoch 17, training loss 0.119:  72%|███████▏  | 131/182 [02:34<01:00,  1.18s/it]
Epoch 17, training loss 0.120:  72%|███████▏  | 131/182 [02:35<01:00,  1.18s/it]
Epoch 17, training loss 0.120:  73%|███████▎  | 132/182 [02:35<00:58,  1.18s/it]
Epoch 17, training loss 0.122:  73%|███████▎  | 132/182 [02:36<00:59,  1.18s/it]
Epoch 17, training loss 0.122:  73%|███████▎  | 133/182 [02:36<00:57,  1.18s/it]
Epoch 17, training loss 0.122:  73%|███████▎  | 133/182 [02:37<00:57,  1.18s/it]
Epoch 17, training loss 0.122:  74%|███████▎  | 134/182 [02:37<00:56,  1.18s/it]
Epoch 17, training loss 0.122:  74%|███████▎  | 134/182 [02:38<00:56,  1.18s/it]
Epoch 17, training loss 0.122:  74%|███████▍  | 135/182 [02:39<00:55,  1.18s/it]
Epoch 17, training loss 0.123:  74%|███████▍  | 135/182 [02:39<00:55,  1.18s/it]
Epoch 17, training loss 0.123:  75%|███████▍  | 136/182 [02:40<00:54,  1.18s/it]
Epoch 17, training loss 0.122:  75%|███████▍  | 136/182 [02:40<00:54,  1.18s/it]
Epoch 17, training loss 0.122:  75%|███████▌  | 137/182 [02:41<00:52,  1.18s/it]
Epoch 17, training loss 0.129:  75%|███████▌  | 137/182 [02:41<00:53,  1.18s/it]
Epoch 17, training loss 0.129:  76%|███████▌  | 138/182 [02:42<00:51,  1.18s/it]
Epoch 17, training loss 0.129:  76%|███████▌  | 138/182 [02:42<00:51,  1.18s/it]
Epoch 17, training loss 0.129:  76%|███████▋  | 139/182 [02:43<00:50,  1.18s/it]
Epoch 17, training loss 0.132:  76%|███████▋  | 139/182 [02:44<00:50,  1.18s/it]
Epoch 17, training loss 0.132:  77%|███████▋  | 140/182 [02:44<00:49,  1.18s/it]
Epoch 17, training loss 0.132:  77%|███████▋  | 140/182 [02:45<00:49,  1.18s/it]
Epoch 17, training loss 0.132:  77%|███████▋  | 141/182 [02:45<00:48,  1.18s/it]
Epoch 17, training loss 0.132:  77%|███████▋  | 141/182 [02:46<00:48,  1.18s/it]
Epoch 17, training loss 0.132:  78%|███████▊  | 142/182 [02:46<00:47,  1.18s/it]
Epoch 17, training loss 0.132:  78%|███████▊  | 142/182 [02:47<00:47,  1.18s/it]
Epoch 17, training loss 0.132:  79%|███████▊  | 143/182 [02:47<00:45,  1.17s/it]
Epoch 17, training loss 0.132:  79%|███████▊  | 143/182 [02:48<00:45,  1.18s/it]
Epoch 17, training loss 0.132:  79%|███████▉  | 144/182 [02:49<00:44,  1.17s/it]
Epoch 17, training loss 0.132:  79%|███████▉  | 144/182 [02:49<00:44,  1.18s/it]
Epoch 17, training loss 0.132:  80%|███████▉  | 145/182 [02:50<00:43,  1.17s/it]
Epoch 17, training loss 0.133:  80%|███████▉  | 145/182 [02:50<00:43,  1.18s/it]
Epoch 17, training loss 0.133:  80%|████████  | 146/182 [02:51<00:42,  1.17s/it]
Epoch 17, training loss 0.134:  80%|████████  | 146/182 [02:52<00:42,  1.18s/it]
Epoch 17, training loss 0.134:  81%|████████  | 147/182 [02:52<00:41,  1.17s/it]
Epoch 17, training loss 0.135:  81%|████████  | 147/182 [02:53<00:41,  1.18s/it]
Epoch 17, training loss 0.135:  81%|████████▏ | 148/182 [02:53<00:39,  1.17s/it]
Epoch 17, training loss 0.136:  81%|████████▏ | 148/182 [02:54<00:40,  1.18s/it]
Epoch 17, training loss 0.136:  82%|████████▏ | 149/182 [02:54<00:38,  1.17s/it]
Epoch 17, training loss 0.137:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 17, training loss 0.137:  82%|████████▏ | 150/182 [02:56<00:37,  1.17s/it]
Epoch 17, training loss 0.138:  82%|████████▏ | 150/182 [02:56<00:37,  1.18s/it]
Epoch 17, training loss 0.138:  83%|████████▎ | 151/182 [02:57<00:36,  1.17s/it]
Epoch 17, training loss 0.137:  83%|████████▎ | 151/182 [02:57<00:36,  1.18s/it]
Epoch 17, training loss 0.137:  84%|████████▎ | 152/182 [02:58<00:35,  1.17s/it]
Epoch 17, training loss 0.137:  84%|████████▎ | 152/182 [02:58<00:35,  1.18s/it]
Epoch 17, training loss 0.137:  84%|████████▍ | 153/182 [02:59<00:34,  1.17s/it]
Epoch 17, training loss 0.137:  84%|████████▍ | 153/182 [03:00<00:34,  1.18s/it]
Epoch 17, training loss 0.137:  85%|████████▍ | 154/182 [03:00<00:32,  1.17s/it]
Epoch 17, training loss 0.136:  85%|████████▍ | 154/182 [03:01<00:32,  1.18s/it]
Epoch 17, training loss 0.136:  85%|████████▌ | 155/182 [03:01<00:31,  1.17s/it]
Epoch 17, training loss 0.136:  85%|████████▌ | 155/182 [03:02<00:31,  1.18s/it]
Epoch 17, training loss 0.136:  86%|████████▌ | 156/182 [03:02<00:30,  1.17s/it]
Epoch 17, training loss 0.136:  86%|████████▌ | 156/182 [03:03<00:30,  1.18s/it]
Epoch 17, training loss 0.136:  86%|████████▋ | 157/182 [03:03<00:29,  1.17s/it]
Epoch 17, training loss 0.136:  86%|████████▋ | 157/182 [03:04<00:29,  1.18s/it]
Epoch 17, training loss 0.136:  87%|████████▋ | 158/182 [03:05<00:28,  1.17s/it]
Epoch 17, training loss 0.136:  87%|████████▋ | 158/182 [03:05<00:28,  1.18s/it]
Epoch 17, training loss 0.136:  87%|████████▋ | 159/182 [03:06<00:26,  1.17s/it]
Epoch 17, training loss 0.135:  87%|████████▋ | 159/182 [03:06<00:27,  1.17s/it]
Epoch 17, training loss 0.135:  88%|████████▊ | 160/182 [03:07<00:25,  1.17s/it]
Epoch 17, training loss 0.135:  88%|████████▊ | 160/182 [03:07<00:25,  1.17s/it]
Epoch 17, training loss 0.135:  88%|████████▊ | 161/182 [03:08<00:24,  1.17s/it]
Epoch 17, training loss 0.134:  88%|████████▊ | 161/182 [03:08<00:24,  1.17s/it]
Epoch 17, training loss 0.134:  89%|████████▉ | 162/182 [03:09<00:23,  1.17s/it]
Epoch 17, training loss 0.134:  89%|████████▉ | 162/182 [03:10<00:23,  1.17s/it]
Epoch 17, training loss 0.134:  90%|████████▉ | 163/182 [03:10<00:22,  1.17s/it]
Epoch 17, training loss 0.134:  90%|████████▉ | 163/182 [03:11<00:22,  1.17s/it]
Epoch 17, training loss 0.134:  90%|█████████ | 164/182 [03:11<00:21,  1.17s/it]
Epoch 17, training loss 0.134:  90%|█████████ | 164/182 [03:12<00:21,  1.17s/it]
Epoch 17, training loss 0.134:  91%|█████████ | 165/182 [03:12<00:19,  1.17s/it]
Epoch 17, training loss 0.133:  91%|█████████ | 165/182 [03:13<00:19,  1.17s/it]
Epoch 17, training loss 0.133:  91%|█████████ | 166/182 [03:14<00:18,  1.17s/it]
Epoch 17, training loss 0.133:  91%|█████████ | 166/182 [03:14<00:18,  1.17s/it]
Epoch 17, training loss 0.133:  92%|█████████▏| 167/182 [03:15<00:17,  1.17s/it]
Epoch 17, training loss 0.133:  92%|█████████▏| 167/182 [03:15<00:17,  1.17s/it]
Epoch 17, training loss 0.133:  92%|█████████▏| 168/182 [03:16<00:16,  1.17s/it]
Epoch 17, training loss 0.133:  92%|█████████▏| 168/182 [03:17<00:16,  1.17s/it]
Epoch 17, training loss 0.133:  93%|█████████▎| 169/182 [03:17<00:15,  1.17s/it]
Epoch 17, training loss 0.132:  93%|█████████▎| 169/182 [03:18<00:15,  1.17s/it]
Epoch 17, training loss 0.132:  93%|█████████▎| 170/182 [03:18<00:14,  1.17s/it]
Epoch 17, training loss 0.132:  93%|█████████▎| 170/182 [03:19<00:14,  1.17s/it]
Epoch 17, training loss 0.132:  94%|█████████▍| 171/182 [03:19<00:12,  1.17s/it]
Epoch 17, training loss 0.132:  94%|█████████▍| 171/182 [03:20<00:12,  1.17s/it]
Epoch 17, training loss 0.132:  95%|█████████▍| 172/182 [03:20<00:11,  1.17s/it]
Epoch 17, training loss 0.133:  95%|█████████▍| 172/182 [03:21<00:11,  1.17s/it]
Epoch 17, training loss 0.133:  95%|█████████▌| 173/182 [03:21<00:10,  1.17s/it]
Epoch 17, training loss 0.133:  95%|█████████▌| 173/182 [03:22<00:10,  1.17s/it]
Epoch 17, training loss 0.133:  96%|█████████▌| 174/182 [03:23<00:09,  1.17s/it]
Epoch 17, training loss 0.135:  96%|█████████▌| 174/182 [03:23<00:09,  1.17s/it]
Epoch 17, training loss 0.135:  96%|█████████▌| 175/182 [03:24<00:08,  1.17s/it]
Epoch 17, training loss 0.135:  96%|█████████▌| 175/182 [03:24<00:08,  1.17s/it]
Epoch 17, training loss 0.135:  97%|█████████▋| 176/182 [03:25<00:06,  1.17s/it]
Epoch 17, training loss 0.136:  97%|█████████▋| 176/182 [03:25<00:07,  1.17s/it]
Epoch 17, training loss 0.136:  97%|█████████▋| 177/182 [03:26<00:05,  1.17s/it]
Epoch 17, training loss 0.136:  97%|█████████▋| 177/182 [03:27<00:05,  1.17s/it]
Epoch 17, training loss 0.136:  98%|█████████▊| 178/182 [03:27<00:04,  1.17s/it]
Epoch 17, training loss 0.135:  98%|█████████▊| 178/182 [03:28<00:04,  1.17s/it]
Epoch 17, training loss 0.135:  98%|█████████▊| 179/182 [03:28<00:03,  1.17s/it]
Epoch 17, training loss 0.135:  98%|█████████▊| 179/182 [03:29<00:03,  1.17s/it]
Epoch 17, training loss 0.135:  99%|█████████▉| 180/182 [03:29<00:02,  1.17s/it]
Epoch 17, training loss 0.135:  99%|█████████▉| 180/182 [03:30<00:02,  1.17s/it]
Epoch 17, training loss 0.135:  99%|█████████▉| 181/182 [03:30<00:01,  1.17s/it]
Epoch 17, training loss 0.134:  99%|█████████▉| 181/182 [03:31<00:01,  1.17s/it]
Epoch 17, training loss 0.134: 100%|██████████| 182/182 [03:32<00:00,  1.16s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 17, validation pixAcc: 0.976, mIoU: 0.600:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 17, validation pixAcc: 0.976, mIoU: 0.600:   1%|          | 1/91 [00:04<06:29,  4.33s/it]
Epoch 17, validation pixAcc: 0.976, mIoU: 0.746:   1%|          | 1/91 [00:04<07:10,  4.79s/it]
Epoch 17, validation pixAcc: 0.976, mIoU: 0.746:   2%|▏         | 2/91 [00:04<03:32,  2.39s/it]
Epoch 17, validation pixAcc: 0.979, mIoU: 0.773:   2%|▏         | 2/91 [00:05<03:52,  2.61s/it]
Epoch 17, validation pixAcc: 0.979, mIoU: 0.773:   3%|▎         | 3/91 [00:05<02:33,  1.74s/it]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.793:   3%|▎         | 3/91 [00:05<02:46,  1.89s/it]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.793:   4%|▍         | 4/91 [00:05<02:03,  1.42s/it]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.898:   4%|▍         | 4/91 [00:06<02:13,  1.53s/it]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.898:   5%|▌         | 5/91 [00:06<01:45,  1.23s/it]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.893:   5%|▌         | 5/91 [00:06<01:53,  1.32s/it]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.893:   7%|▋         | 6/91 [00:06<01:33,  1.10s/it]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.893:   7%|▋         | 6/91 [00:07<01:39,  1.18s/it]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.893:   8%|▊         | 7/91 [00:07<01:24,  1.01s/it]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.892:   8%|▊         | 7/91 [00:07<01:30,  1.07s/it]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.892:   9%|▉         | 8/91 [00:07<01:17,  1.06it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.894:   9%|▉         | 8/91 [00:07<01:22,  1.01it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.894:  10%|▉         | 9/91 [00:07<01:12,  1.13it/s]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.902:  10%|▉         | 9/91 [00:08<01:16,  1.07it/s]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.902:  11%|█         | 10/91 [00:08<01:07,  1.19it/s]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.899:  11%|█         | 10/91 [00:08<01:11,  1.14it/s]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.899:  12%|█▏        | 11/91 [00:08<01:03,  1.25it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.898:  12%|█▏        | 11/91 [00:09<01:06,  1.20it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.898:  13%|█▎        | 12/91 [00:09<01:00,  1.31it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.895:  13%|█▎        | 12/91 [00:09<01:03,  1.25it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.895:  14%|█▍        | 13/91 [00:09<00:57,  1.35it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.906:  14%|█▍        | 13/91 [00:09<00:59,  1.30it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.906:  15%|█▌        | 14/91 [00:09<00:54,  1.40it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.904:  15%|█▌        | 14/91 [00:10<00:57,  1.34it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.904:  16%|█▋        | 15/91 [00:10<00:52,  1.44it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.909:  16%|█▋        | 15/91 [00:10<00:55,  1.38it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.909:  18%|█▊        | 16/91 [00:10<00:51,  1.47it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.907:  18%|█▊        | 16/91 [00:11<00:53,  1.41it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.907:  19%|█▊        | 17/91 [00:11<00:49,  1.50it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.906:  19%|█▊        | 17/91 [00:11<00:51,  1.44it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.906:  20%|█▉        | 18/91 [00:11<00:47,  1.53it/s]
Epoch 17, validation pixAcc: 0.975, mIoU: 0.898:  20%|█▉        | 18/91 [00:12<00:49,  1.47it/s]
Epoch 17, validation pixAcc: 0.975, mIoU: 0.898:  21%|██        | 19/91 [00:12<00:46,  1.55it/s]
Epoch 17, validation pixAcc: 0.974, mIoU: 0.894:  21%|██        | 19/91 [00:12<00:48,  1.50it/s]
Epoch 17, validation pixAcc: 0.974, mIoU: 0.894:  22%|██▏       | 20/91 [00:12<00:45,  1.58it/s]
Epoch 17, validation pixAcc: 0.975, mIoU: 0.897:  22%|██▏       | 20/91 [00:13<00:46,  1.52it/s]
Epoch 17, validation pixAcc: 0.975, mIoU: 0.897:  23%|██▎       | 21/91 [00:13<00:43,  1.60it/s]
Epoch 17, validation pixAcc: 0.974, mIoU: 0.894:  23%|██▎       | 21/91 [00:13<00:45,  1.55it/s]
Epoch 17, validation pixAcc: 0.974, mIoU: 0.894:  24%|██▍       | 22/91 [00:13<00:42,  1.62it/s]
Epoch 17, validation pixAcc: 0.975, mIoU: 0.896:  24%|██▍       | 22/91 [00:14<00:43,  1.57it/s]
Epoch 17, validation pixAcc: 0.975, mIoU: 0.896:  25%|██▌       | 23/91 [00:14<00:41,  1.64it/s]
Epoch 17, validation pixAcc: 0.975, mIoU: 0.896:  25%|██▌       | 23/91 [00:14<00:42,  1.60it/s]
Epoch 17, validation pixAcc: 0.975, mIoU: 0.896:  26%|██▋       | 24/91 [00:14<00:40,  1.67it/s]
Epoch 17, validation pixAcc: 0.975, mIoU: 0.896:  26%|██▋       | 24/91 [00:14<00:41,  1.62it/s]
Epoch 17, validation pixAcc: 0.975, mIoU: 0.896:  27%|██▋       | 25/91 [00:14<00:39,  1.69it/s]
Epoch 17, validation pixAcc: 0.976, mIoU: 0.897:  27%|██▋       | 25/91 [00:15<00:40,  1.64it/s]
Epoch 17, validation pixAcc: 0.976, mIoU: 0.897:  29%|██▊       | 26/91 [00:15<00:38,  1.71it/s]
Epoch 17, validation pixAcc: 0.975, mIoU: 0.898:  29%|██▊       | 26/91 [00:15<00:38,  1.67it/s]
Epoch 17, validation pixAcc: 0.975, mIoU: 0.898:  30%|██▉       | 27/91 [00:15<00:36,  1.73it/s]
Epoch 17, validation pixAcc: 0.976, mIoU: 0.901:  30%|██▉       | 27/91 [00:16<00:37,  1.69it/s]
Epoch 17, validation pixAcc: 0.976, mIoU: 0.901:  31%|███       | 28/91 [00:16<00:36,  1.75it/s]
Epoch 17, validation pixAcc: 0.976, mIoU: 0.900:  31%|███       | 28/91 [00:16<00:36,  1.70it/s]
Epoch 17, validation pixAcc: 0.976, mIoU: 0.900:  32%|███▏      | 29/91 [00:16<00:35,  1.77it/s]
Epoch 17, validation pixAcc: 0.976, mIoU: 0.902:  32%|███▏      | 29/91 [00:16<00:35,  1.72it/s]
Epoch 17, validation pixAcc: 0.976, mIoU: 0.902:  33%|███▎      | 30/91 [00:16<00:34,  1.78it/s]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.904:  33%|███▎      | 30/91 [00:17<00:35,  1.74it/s]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.904:  34%|███▍      | 31/91 [00:17<00:33,  1.80it/s]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.905:  34%|███▍      | 31/91 [00:17<00:34,  1.76it/s]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.905:  35%|███▌      | 32/91 [00:17<00:32,  1.81it/s]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.907:  35%|███▌      | 32/91 [00:18<00:33,  1.77it/s]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.907:  36%|███▋      | 33/91 [00:18<00:31,  1.83it/s]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.907:  36%|███▋      | 33/91 [00:18<00:32,  1.79it/s]
Epoch 17, validation pixAcc: 0.977, mIoU: 0.907:  37%|███▋      | 34/91 [00:18<00:30,  1.84it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.907:  37%|███▋      | 34/91 [00:18<00:31,  1.81it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.907:  38%|███▊      | 35/91 [00:18<00:30,  1.86it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.908:  38%|███▊      | 35/91 [00:19<00:30,  1.82it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.908:  40%|███▉      | 36/91 [00:19<00:29,  1.87it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.908:  40%|███▉      | 36/91 [00:19<00:30,  1.83it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.908:  41%|████      | 37/91 [00:19<00:28,  1.88it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.908:  41%|████      | 37/91 [00:20<00:29,  1.84it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.908:  42%|████▏     | 38/91 [00:20<00:28,  1.89it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.908:  42%|████▏     | 38/91 [00:20<00:28,  1.85it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.908:  43%|████▎     | 39/91 [00:20<00:27,  1.90it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.910:  43%|████▎     | 39/91 [00:20<00:27,  1.86it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.910:  44%|████▍     | 40/91 [00:20<00:26,  1.91it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.910:  44%|████▍     | 40/91 [00:21<00:27,  1.86it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.910:  45%|████▌     | 41/91 [00:21<00:26,  1.91it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.909:  45%|████▌     | 41/91 [00:21<00:26,  1.87it/s]
Epoch 17, validation pixAcc: 0.978, mIoU: 0.909:  46%|████▌     | 42/91 [00:21<00:25,  1.92it/s]
Epoch 17, validation pixAcc: 0.979, mIoU: 0.910:  46%|████▌     | 42/91 [00:22<00:26,  1.88it/s]
Epoch 17, validation pixAcc: 0.979, mIoU: 0.910:  47%|████▋     | 43/91 [00:22<00:24,  1.93it/s]
Epoch 17, validation pixAcc: 0.979, mIoU: 0.911:  47%|████▋     | 43/91 [00:22<00:25,  1.89it/s]
Epoch 17, validation pixAcc: 0.979, mIoU: 0.911:  48%|████▊     | 44/91 [00:22<00:24,  1.94it/s]
Epoch 17, validation pixAcc: 0.979, mIoU: 0.911:  48%|████▊     | 44/91 [00:23<00:24,  1.90it/s]
Epoch 17, validation pixAcc: 0.979, mIoU: 0.911:  49%|████▉     | 45/91 [00:23<00:23,  1.94it/s]
Epoch 17, validation pixAcc: 0.979, mIoU: 0.912:  49%|████▉     | 45/91 [00:23<00:24,  1.91it/s]
Epoch 17, validation pixAcc: 0.979, mIoU: 0.912:  51%|█████     | 46/91 [00:23<00:23,  1.95it/s]
Epoch 17, validation pixAcc: 0.979, mIoU: 0.912:  51%|█████     | 46/91 [00:24<00:23,  1.91it/s]
Epoch 17, validation pixAcc: 0.979, mIoU: 0.912:  52%|█████▏    | 47/91 [00:24<00:22,  1.95it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.912:  52%|█████▏    | 47/91 [00:24<00:22,  1.92it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.912:  53%|█████▎    | 48/91 [00:24<00:21,  1.96it/s]
Epoch 17, validation pixAcc: 0.979, mIoU: 0.911:  53%|█████▎    | 48/91 [00:24<00:22,  1.92it/s]
Epoch 17, validation pixAcc: 0.979, mIoU: 0.911:  54%|█████▍    | 49/91 [00:24<00:21,  1.96it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.911:  54%|█████▍    | 49/91 [00:25<00:21,  1.93it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.911:  55%|█████▍    | 50/91 [00:25<00:20,  1.97it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.912:  55%|█████▍    | 50/91 [00:25<00:21,  1.94it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.912:  56%|█████▌    | 51/91 [00:25<00:20,  1.98it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.913:  56%|█████▌    | 51/91 [00:26<00:20,  1.94it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.913:  57%|█████▋    | 52/91 [00:26<00:19,  1.98it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.913:  57%|█████▋    | 52/91 [00:26<00:20,  1.95it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.913:  58%|█████▊    | 53/91 [00:26<00:19,  1.99it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.912:  58%|█████▊    | 53/91 [00:27<00:19,  1.95it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.912:  59%|█████▉    | 54/91 [00:27<00:18,  1.99it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.912:  59%|█████▉    | 54/91 [00:27<00:18,  1.96it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.912:  60%|██████    | 55/91 [00:27<00:18,  1.99it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.913:  60%|██████    | 55/91 [00:28<00:18,  1.96it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.913:  62%|██████▏   | 56/91 [00:28<00:17,  2.00it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.913:  62%|██████▏   | 56/91 [00:28<00:17,  1.97it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.913:  63%|██████▎   | 57/91 [00:28<00:16,  2.00it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.913:  63%|██████▎   | 57/91 [00:28<00:17,  1.98it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.913:  64%|██████▎   | 58/91 [00:28<00:16,  2.01it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.913:  64%|██████▎   | 58/91 [00:29<00:16,  1.98it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.913:  65%|██████▍   | 59/91 [00:29<00:15,  2.01it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.913:  65%|██████▍   | 59/91 [00:29<00:16,  1.99it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.913:  66%|██████▌   | 60/91 [00:29<00:15,  2.02it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.914:  66%|██████▌   | 60/91 [00:30<00:15,  1.99it/s]
Epoch 17, validation pixAcc: 0.980, mIoU: 0.914:  67%|██████▋   | 61/91 [00:30<00:14,  2.02it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.914:  67%|██████▋   | 61/91 [00:30<00:15,  1.99it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.914:  68%|██████▊   | 62/91 [00:30<00:14,  2.03it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.915:  68%|██████▊   | 62/91 [00:31<00:14,  2.00it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.915:  69%|██████▉   | 63/91 [00:31<00:13,  2.03it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.915:  69%|██████▉   | 63/91 [00:31<00:13,  2.01it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.915:  70%|███████   | 64/91 [00:31<00:13,  2.04it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.916:  70%|███████   | 64/91 [00:31<00:13,  2.01it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.916:  71%|███████▏  | 65/91 [00:31<00:12,  2.04it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.916:  71%|███████▏  | 65/91 [00:32<00:12,  2.02it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.916:  73%|███████▎  | 66/91 [00:32<00:12,  2.05it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.916:  73%|███████▎  | 66/91 [00:32<00:12,  2.02it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.916:  74%|███████▎  | 67/91 [00:32<00:11,  2.05it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.916:  74%|███████▎  | 67/91 [00:33<00:11,  2.03it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.916:  75%|███████▍  | 68/91 [00:33<00:11,  2.06it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.917:  75%|███████▍  | 68/91 [00:33<00:11,  2.03it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.917:  76%|███████▌  | 69/91 [00:33<00:10,  2.06it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.917:  76%|███████▌  | 69/91 [00:33<00:10,  2.04it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.917:  77%|███████▋  | 70/91 [00:33<00:10,  2.07it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.917:  77%|███████▋  | 70/91 [00:34<00:10,  2.04it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.917:  78%|███████▊  | 71/91 [00:34<00:09,  2.07it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.918:  78%|███████▊  | 71/91 [00:34<00:09,  2.05it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.918:  79%|███████▉  | 72/91 [00:34<00:09,  2.07it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.917:  79%|███████▉  | 72/91 [00:35<00:09,  2.05it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.917:  80%|████████  | 73/91 [00:35<00:08,  2.08it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.917:  80%|████████  | 73/91 [00:35<00:08,  2.06it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.917:  81%|████████▏ | 74/91 [00:35<00:08,  2.08it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.918:  81%|████████▏ | 74/91 [00:35<00:08,  2.06it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.918:  82%|████████▏ | 75/91 [00:35<00:07,  2.09it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.918:  82%|████████▏ | 75/91 [00:36<00:07,  2.06it/s]
Epoch 17, validation pixAcc: 0.981, mIoU: 0.918:  84%|████████▎ | 76/91 [00:36<00:07,  2.09it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.919:  84%|████████▎ | 76/91 [00:36<00:07,  2.06it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.919:  85%|████████▍ | 77/91 [00:36<00:06,  2.09it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.918:  85%|████████▍ | 77/91 [00:37<00:06,  2.07it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.918:  86%|████████▌ | 78/91 [00:37<00:06,  2.10it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.918:  86%|████████▌ | 78/91 [00:37<00:06,  2.07it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.918:  87%|████████▋ | 79/91 [00:37<00:05,  2.10it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.919:  87%|████████▋ | 79/91 [00:38<00:05,  2.08it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.919:  88%|████████▊ | 80/91 [00:38<00:05,  2.10it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.920:  88%|████████▊ | 80/91 [00:38<00:05,  2.08it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.920:  89%|████████▉ | 81/91 [00:38<00:04,  2.11it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.920:  89%|████████▉ | 81/91 [00:38<00:04,  2.08it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.920:  90%|█████████ | 82/91 [00:38<00:04,  2.11it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.921:  90%|█████████ | 82/91 [00:39<00:04,  2.09it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.921:  91%|█████████ | 83/91 [00:39<00:03,  2.11it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.920:  91%|█████████ | 83/91 [00:39<00:03,  2.09it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.920:  92%|█████████▏| 84/91 [00:39<00:03,  2.12it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.921:  92%|█████████▏| 84/91 [00:40<00:03,  2.09it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.921:  93%|█████████▎| 85/91 [00:40<00:02,  2.12it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.921:  93%|█████████▎| 85/91 [00:40<00:02,  2.10it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.921:  95%|█████████▍| 86/91 [00:40<00:02,  2.12it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.921:  95%|█████████▍| 86/91 [00:40<00:02,  2.10it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.921:  96%|█████████▌| 87/91 [00:40<00:01,  2.12it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.920:  96%|█████████▌| 87/91 [00:41<00:01,  2.10it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.920:  97%|█████████▋| 88/91 [00:41<00:01,  2.13it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.920:  97%|█████████▋| 88/91 [00:41<00:01,  2.10it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.920:  98%|█████████▊| 89/91 [00:41<00:00,  2.13it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.920:  98%|█████████▊| 89/91 [00:42<00:00,  2.11it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.920:  99%|█████████▉| 90/91 [00:42<00:00,  2.13it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.920:  99%|█████████▉| 90/91 [00:42<00:00,  2.11it/s]
Epoch 17, validation pixAcc: 0.982, mIoU: 0.920: 100%|██████████| 91/91 [00:42<00:00,  2.13it/s]

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Epoch 18, training loss 0.161:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 18, training loss 0.161:   1%|          | 1/182 [00:05<15:49,  5.24s/it]
Epoch 18, training loss 0.093:   1%|          | 1/182 [00:05<17:59,  5.96s/it]
Epoch 18, training loss 0.093:   1%|          | 2/182 [00:06<09:42,  3.24s/it]
Epoch 18, training loss 0.111:   1%|          | 2/182 [00:07<10:43,  3.57s/it]
Epoch 18, training loss 0.111:   2%|▏         | 3/182 [00:07<07:35,  2.55s/it]
Epoch 18, training loss 0.149:   2%|▏         | 3/182 [00:08<08:18,  2.78s/it]
Epoch 18, training loss 0.149:   2%|▏         | 4/182 [00:08<06:34,  2.22s/it]
Epoch 18, training loss 0.181:   2%|▏         | 4/182 [00:09<07:03,  2.38s/it]
Epoch 18, training loss 0.181:   3%|▎         | 5/182 [00:10<05:54,  2.00s/it]
Epoch 18, training loss 0.191:   3%|▎         | 5/182 [00:10<06:16,  2.13s/it]
Epoch 18, training loss 0.191:   3%|▎         | 6/182 [00:11<05:25,  1.85s/it]
Epoch 18, training loss 0.175:   3%|▎         | 6/182 [00:11<05:45,  1.97s/it]
Epoch 18, training loss 0.175:   4%|▍         | 7/182 [00:12<05:06,  1.75s/it]
Epoch 18, training loss 0.159:   4%|▍         | 7/182 [00:12<05:22,  1.84s/it]
Epoch 18, training loss 0.159:   4%|▍         | 8/182 [00:13<04:51,  1.68s/it]
Epoch 18, training loss 0.175:   4%|▍         | 8/182 [00:14<05:06,  1.76s/it]
Epoch 18, training loss 0.175:   5%|▍         | 9/182 [00:14<04:40,  1.62s/it]
Epoch 18, training loss 0.169:   5%|▍         | 9/182 [00:15<04:51,  1.69s/it]
Epoch 18, training loss 0.169:   5%|▌         | 10/182 [00:15<04:29,  1.57s/it]
Epoch 18, training loss 0.160:   5%|▌         | 10/182 [00:16<04:42,  1.64s/it]
Epoch 18, training loss 0.160:   6%|▌         | 11/182 [00:16<04:22,  1.53s/it]
Epoch 18, training loss 0.152:   6%|▌         | 11/182 [00:17<04:32,  1.59s/it]
Epoch 18, training loss 0.152:   7%|▋         | 12/182 [00:18<04:15,  1.50s/it]
Epoch 18, training loss 0.143:   7%|▋         | 12/182 [00:18<04:23,  1.55s/it]
Epoch 18, training loss 0.143:   7%|▋         | 13/182 [00:19<04:08,  1.47s/it]
Epoch 18, training loss 0.138:   7%|▋         | 13/182 [00:19<04:16,  1.52s/it]
Epoch 18, training loss 0.138:   8%|▊         | 14/182 [00:20<04:03,  1.45s/it]
Epoch 18, training loss 0.217:   8%|▊         | 14/182 [00:20<04:11,  1.49s/it]
Epoch 18, training loss 0.217:   8%|▊         | 15/182 [00:21<03:58,  1.43s/it]
Epoch 18, training loss 0.208:   8%|▊         | 15/182 [00:22<04:05,  1.47s/it]
Epoch 18, training loss 0.208:   9%|▉         | 16/182 [00:22<03:53,  1.41s/it]
Epoch 18, training loss 0.199:   9%|▉         | 16/182 [00:23<04:01,  1.46s/it]
Epoch 18, training loss 0.199:   9%|▉         | 17/182 [00:23<03:50,  1.40s/it]
Epoch 18, training loss 0.207:   9%|▉         | 17/182 [00:24<03:57,  1.44s/it]
Epoch 18, training loss 0.207:  10%|▉         | 18/182 [00:24<03:47,  1.39s/it]
Epoch 18, training loss 0.209:  10%|▉         | 18/182 [00:25<03:53,  1.42s/it]
Epoch 18, training loss 0.209:  10%|█         | 19/182 [00:26<03:43,  1.37s/it]
Epoch 18, training loss 0.203:  10%|█         | 19/182 [00:26<03:48,  1.40s/it]
Epoch 18, training loss 0.203:  11%|█         | 20/182 [00:27<03:40,  1.36s/it]
Epoch 18, training loss 0.205:  11%|█         | 20/182 [00:27<03:44,  1.38s/it]
Epoch 18, training loss 0.205:  12%|█▏        | 21/182 [00:28<03:36,  1.34s/it]
Epoch 18, training loss 0.199:  12%|█▏        | 21/182 [00:28<03:40,  1.37s/it]
Epoch 18, training loss 0.199:  12%|█▏        | 22/182 [00:29<03:32,  1.33s/it]
Epoch 18, training loss 0.192:  12%|█▏        | 22/182 [00:29<03:37,  1.36s/it]
Epoch 18, training loss 0.192:  13%|█▎        | 23/182 [00:30<03:30,  1.32s/it]
Epoch 18, training loss 0.186:  13%|█▎        | 23/182 [00:31<03:34,  1.35s/it]
Epoch 18, training loss 0.186:  13%|█▎        | 24/182 [00:31<03:27,  1.31s/it]
Epoch 18, training loss 0.183:  13%|█▎        | 24/182 [00:32<03:31,  1.34s/it]
Epoch 18, training loss 0.183:  14%|█▎        | 25/182 [00:32<03:25,  1.31s/it]
Epoch 18, training loss 0.180:  14%|█▎        | 25/182 [00:33<03:29,  1.33s/it]
Epoch 18, training loss 0.180:  14%|█▍        | 26/182 [00:33<03:22,  1.30s/it]
Epoch 18, training loss 0.177:  14%|█▍        | 26/182 [00:34<03:26,  1.33s/it]
Epoch 18, training loss 0.177:  15%|█▍        | 27/182 [00:34<03:20,  1.30s/it]
Epoch 18, training loss 0.172:  15%|█▍        | 27/182 [00:35<03:24,  1.32s/it]
Epoch 18, training loss 0.172:  15%|█▌        | 28/182 [00:36<03:18,  1.29s/it]
Epoch 18, training loss 0.167:  15%|█▌        | 28/182 [00:36<03:22,  1.32s/it]
Epoch 18, training loss 0.167:  16%|█▌        | 29/182 [00:37<03:17,  1.29s/it]
Epoch 18, training loss 0.174:  16%|█▌        | 29/182 [00:37<03:20,  1.31s/it]
Epoch 18, training loss 0.174:  16%|█▋        | 30/182 [00:38<03:15,  1.28s/it]
Epoch 18, training loss 0.182:  16%|█▋        | 30/182 [00:39<03:18,  1.31s/it]
Epoch 18, training loss 0.182:  17%|█▋        | 31/182 [00:39<03:13,  1.28s/it]
Epoch 18, training loss 0.177:  17%|█▋        | 31/182 [00:40<03:16,  1.30s/it]
Epoch 18, training loss 0.177:  18%|█▊        | 32/182 [00:40<03:11,  1.27s/it]
Epoch 18, training loss 0.176:  18%|█▊        | 32/182 [00:41<03:13,  1.29s/it]
Epoch 18, training loss 0.176:  18%|█▊        | 33/182 [00:41<03:08,  1.27s/it]
Epoch 18, training loss 0.172:  18%|█▊        | 33/182 [00:42<03:11,  1.29s/it]
Epoch 18, training loss 0.172:  19%|█▊        | 34/182 [00:42<03:06,  1.26s/it]
Epoch 18, training loss 0.174:  19%|█▊        | 34/182 [00:43<03:09,  1.28s/it]
Epoch 18, training loss 0.174:  19%|█▉        | 35/182 [00:44<03:05,  1.26s/it]
Epoch 18, training loss 0.171:  19%|█▉        | 35/182 [00:44<03:08,  1.28s/it]
Epoch 18, training loss 0.171:  20%|█▉        | 36/182 [00:45<03:03,  1.26s/it]
Epoch 18, training loss 0.171:  20%|█▉        | 36/182 [00:45<03:06,  1.28s/it]
Epoch 18, training loss 0.171:  20%|██        | 37/182 [00:46<03:02,  1.26s/it]
Epoch 18, training loss 0.170:  20%|██        | 37/182 [00:47<03:04,  1.27s/it]
Epoch 18, training loss 0.170:  21%|██        | 38/182 [00:47<03:00,  1.25s/it]
Epoch 18, training loss 0.169:  21%|██        | 38/182 [00:48<03:03,  1.27s/it]
Epoch 18, training loss 0.169:  21%|██▏       | 39/182 [00:48<02:59,  1.25s/it]
Epoch 18, training loss 0.165:  21%|██▏       | 39/182 [00:49<03:01,  1.27s/it]
Epoch 18, training loss 0.165:  22%|██▏       | 40/182 [00:49<02:57,  1.25s/it]
Epoch 18, training loss 0.164:  22%|██▏       | 40/182 [00:50<02:59,  1.26s/it]
Epoch 18, training loss 0.164:  23%|██▎       | 41/182 [00:51<02:55,  1.25s/it]
Epoch 18, training loss 0.164:  23%|██▎       | 41/182 [00:51<02:57,  1.26s/it]
Epoch 18, training loss 0.164:  23%|██▎       | 42/182 [00:52<02:54,  1.24s/it]
Epoch 18, training loss 0.164:  23%|██▎       | 42/182 [00:52<02:56,  1.26s/it]
Epoch 18, training loss 0.164:  24%|██▎       | 43/182 [00:53<02:52,  1.24s/it]
Epoch 18, training loss 0.167:  24%|██▎       | 43/182 [00:53<02:54,  1.25s/it]
Epoch 18, training loss 0.167:  24%|██▍       | 44/182 [00:54<02:50,  1.24s/it]
Epoch 18, training loss 0.165:  24%|██▍       | 44/182 [00:55<02:52,  1.25s/it]
Epoch 18, training loss 0.165:  25%|██▍       | 45/182 [00:55<02:49,  1.23s/it]
Epoch 18, training loss 0.162:  25%|██▍       | 45/182 [00:56<02:50,  1.25s/it]
Epoch 18, training loss 0.162:  25%|██▌       | 46/182 [00:56<02:47,  1.23s/it]
Epoch 18, training loss 0.159:  25%|██▌       | 46/182 [00:57<02:49,  1.25s/it]
Epoch 18, training loss 0.159:  26%|██▌       | 47/182 [00:57<02:45,  1.23s/it]
Epoch 18, training loss 0.157:  26%|██▌       | 47/182 [00:58<02:47,  1.24s/it]
Epoch 18, training loss 0.157:  26%|██▋       | 48/182 [00:58<02:44,  1.23s/it]
Epoch 18, training loss 0.155:  26%|██▋       | 48/182 [00:59<02:46,  1.24s/it]
Epoch 18, training loss 0.155:  27%|██▋       | 49/182 [01:00<02:43,  1.23s/it]
Epoch 18, training loss 0.153:  27%|██▋       | 49/182 [01:00<02:44,  1.24s/it]
Epoch 18, training loss 0.153:  27%|██▋       | 50/182 [01:01<02:41,  1.22s/it]
Epoch 18, training loss 0.154:  27%|██▋       | 50/182 [01:01<02:43,  1.24s/it]
Epoch 18, training loss 0.154:  28%|██▊       | 51/182 [01:02<02:40,  1.22s/it]
Epoch 18, training loss 0.152:  28%|██▊       | 51/182 [01:03<02:41,  1.24s/it]
Epoch 18, training loss 0.152:  29%|██▊       | 52/182 [01:03<02:38,  1.22s/it]
Epoch 18, training loss 0.151:  29%|██▊       | 52/182 [01:04<02:40,  1.23s/it]
Epoch 18, training loss 0.151:  29%|██▉       | 53/182 [01:04<02:37,  1.22s/it]
Epoch 18, training loss 0.149:  29%|██▉       | 53/182 [01:05<02:38,  1.23s/it]
Epoch 18, training loss 0.149:  30%|██▉       | 54/182 [01:05<02:35,  1.22s/it]
Epoch 18, training loss 0.148:  30%|██▉       | 54/182 [01:06<02:37,  1.23s/it]
Epoch 18, training loss 0.148:  30%|███       | 55/182 [01:06<02:34,  1.22s/it]
Epoch 18, training loss 0.147:  30%|███       | 55/182 [01:07<02:35,  1.23s/it]
Epoch 18, training loss 0.147:  31%|███       | 56/182 [01:08<02:33,  1.21s/it]
Epoch 18, training loss 0.145:  31%|███       | 56/182 [01:08<02:34,  1.23s/it]
Epoch 18, training loss 0.145:  31%|███▏      | 57/182 [01:09<02:31,  1.21s/it]
Epoch 18, training loss 0.144:  31%|███▏      | 57/182 [01:09<02:33,  1.23s/it]
Epoch 18, training loss 0.144:  32%|███▏      | 58/182 [01:10<02:30,  1.21s/it]
Epoch 18, training loss 0.142:  32%|███▏      | 58/182 [01:11<02:32,  1.23s/it]
Epoch 18, training loss 0.142:  32%|███▏      | 59/182 [01:11<02:29,  1.21s/it]
Epoch 18, training loss 0.141:  32%|███▏      | 59/182 [01:12<02:30,  1.23s/it]
Epoch 18, training loss 0.141:  33%|███▎      | 60/182 [01:12<02:28,  1.21s/it]
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Epoch 18, training loss 0.140:  34%|███▎      | 61/182 [01:14<02:26,  1.21s/it]
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Epoch 18, training loss 0.128:  60%|██████    | 110/182 [02:09<01:24,  1.18s/it]
Epoch 18, training loss 0.128:  60%|██████    | 110/182 [02:10<01:25,  1.18s/it]
Epoch 18, training loss 0.128:  61%|██████    | 111/182 [02:10<01:23,  1.18s/it]
Epoch 18, training loss 0.128:  61%|██████    | 111/182 [02:11<01:24,  1.18s/it]
Epoch 18, training loss 0.128:  62%|██████▏   | 112/182 [02:11<01:22,  1.18s/it]
Epoch 18, training loss 0.127:  62%|██████▏   | 112/182 [02:12<01:22,  1.18s/it]
Epoch 18, training loss 0.127:  62%|██████▏   | 113/182 [02:13<01:21,  1.18s/it]
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Epoch 18, training loss 0.127:  63%|██████▎   | 115/182 [02:15<01:19,  1.18s/it]
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Epoch 18, training loss 0.127:  65%|██████▍   | 118/182 [02:19<01:15,  1.18s/it]
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Epoch 18, training loss 0.126:  66%|██████▋   | 121/182 [02:22<01:11,  1.17s/it]
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Epoch 18, training loss 0.130:  77%|███████▋  | 140/182 [02:43<00:49,  1.17s/it]
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Epoch 18, training loss 0.128:  84%|████████▎ | 152/182 [02:57<00:35,  1.17s/it]
Epoch 18, training loss 0.128:  84%|████████▍ | 153/182 [02:58<00:33,  1.17s/it]
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Epoch 18, training loss 0.128:  85%|████████▌ | 155/182 [03:01<00:31,  1.17s/it]
Epoch 18, training loss 0.128:  86%|████████▌ | 156/182 [03:01<00:30,  1.16s/it]
Epoch 18, training loss 0.128:  86%|████████▌ | 156/182 [03:02<00:30,  1.17s/it]
Epoch 18, training loss 0.128:  86%|████████▋ | 157/182 [03:02<00:29,  1.16s/it]
Epoch 18, training loss 0.128:  86%|████████▋ | 157/182 [03:03<00:29,  1.17s/it]
Epoch 18, training loss 0.128:  87%|████████▋ | 158/182 [03:03<00:27,  1.16s/it]
Epoch 18, training loss 0.127:  87%|████████▋ | 158/182 [03:04<00:28,  1.17s/it]
Epoch 18, training loss 0.127:  87%|████████▋ | 159/182 [03:04<00:26,  1.16s/it]
Epoch 18, training loss 0.127:  87%|████████▋ | 159/182 [03:05<00:26,  1.17s/it]
Epoch 18, training loss 0.127:  88%|████████▊ | 160/182 [03:06<00:25,  1.16s/it]
Epoch 18, training loss 0.126:  88%|████████▊ | 160/182 [03:06<00:25,  1.17s/it]
Epoch 18, training loss 0.126:  88%|████████▊ | 161/182 [03:07<00:24,  1.16s/it]
Epoch 18, training loss 0.126:  88%|████████▊ | 161/182 [03:07<00:24,  1.17s/it]
Epoch 18, training loss 0.126:  89%|████████▉ | 162/182 [03:08<00:23,  1.16s/it]
Epoch 18, training loss 0.126:  89%|████████▉ | 162/182 [03:09<00:23,  1.17s/it]
Epoch 18, training loss 0.126:  90%|████████▉ | 163/182 [03:09<00:22,  1.16s/it]
Epoch 18, training loss 0.126:  90%|████████▉ | 163/182 [03:10<00:22,  1.17s/it]
Epoch 18, training loss 0.126:  90%|█████████ | 164/182 [03:10<00:20,  1.16s/it]
Epoch 18, training loss 0.126:  90%|█████████ | 164/182 [03:11<00:21,  1.17s/it]
Epoch 18, training loss 0.126:  91%|█████████ | 165/182 [03:11<00:19,  1.16s/it]
Epoch 18, training loss 0.125:  91%|█████████ | 165/182 [03:12<00:19,  1.17s/it]
Epoch 18, training loss 0.125:  91%|█████████ | 166/182 [03:13<00:18,  1.16s/it]
Epoch 18, training loss 0.125:  91%|█████████ | 166/182 [03:13<00:18,  1.17s/it]
Epoch 18, training loss 0.125:  92%|█████████▏| 167/182 [03:14<00:17,  1.16s/it]
Epoch 18, training loss 0.125:  92%|█████████▏| 167/182 [03:14<00:17,  1.17s/it]
Epoch 18, training loss 0.125:  92%|█████████▏| 168/182 [03:15<00:16,  1.16s/it]
Epoch 18, training loss 0.125:  92%|█████████▏| 168/182 [03:15<00:16,  1.17s/it]
Epoch 18, training loss 0.125:  93%|█████████▎| 169/182 [03:16<00:15,  1.16s/it]
Epoch 18, training loss 0.124:  93%|█████████▎| 169/182 [03:16<00:15,  1.17s/it]
Epoch 18, training loss 0.124:  93%|█████████▎| 170/182 [03:17<00:13,  1.16s/it]
Epoch 18, training loss 0.125:  93%|█████████▎| 170/182 [03:18<00:13,  1.17s/it]
Epoch 18, training loss 0.125:  94%|█████████▍| 171/182 [03:18<00:12,  1.16s/it]
Epoch 18, training loss 0.125:  94%|█████████▍| 171/182 [03:19<00:12,  1.17s/it]
Epoch 18, training loss 0.125:  95%|█████████▍| 172/182 [03:19<00:11,  1.16s/it]
Epoch 18, training loss 0.125:  95%|█████████▍| 172/182 [03:20<00:11,  1.16s/it]
Epoch 18, training loss 0.125:  95%|█████████▌| 173/182 [03:20<00:10,  1.16s/it]
Epoch 18, training loss 0.124:  95%|█████████▌| 173/182 [03:21<00:10,  1.16s/it]
Epoch 18, training loss 0.124:  96%|█████████▌| 174/182 [03:21<00:09,  1.16s/it]
Epoch 18, training loss 0.124:  96%|█████████▌| 174/182 [03:22<00:09,  1.16s/it]
Epoch 18, training loss 0.124:  96%|█████████▌| 175/182 [03:22<00:08,  1.16s/it]
Epoch 18, training loss 0.124:  96%|█████████▌| 175/182 [03:23<00:08,  1.16s/it]
Epoch 18, training loss 0.124:  97%|█████████▋| 176/182 [03:24<00:06,  1.16s/it]
Epoch 18, training loss 0.126:  97%|█████████▋| 176/182 [03:24<00:06,  1.16s/it]
Epoch 18, training loss 0.126:  97%|█████████▋| 177/182 [03:25<00:05,  1.16s/it]
Epoch 18, training loss 0.125:  97%|█████████▋| 177/182 [03:25<00:05,  1.16s/it]
Epoch 18, training loss 0.125:  98%|█████████▊| 178/182 [03:26<00:04,  1.16s/it]
Epoch 18, training loss 0.125:  98%|█████████▊| 178/182 [03:26<00:04,  1.16s/it]
Epoch 18, training loss 0.125:  98%|█████████▊| 179/182 [03:27<00:03,  1.16s/it]
Epoch 18, training loss 0.125:  98%|█████████▊| 179/182 [03:28<00:03,  1.16s/it]
Epoch 18, training loss 0.125:  99%|█████████▉| 180/182 [03:28<00:02,  1.16s/it]
Epoch 18, training loss 0.125:  99%|█████████▉| 180/182 [03:29<00:02,  1.16s/it]
Epoch 18, training loss 0.125:  99%|█████████▉| 181/182 [03:29<00:01,  1.16s/it]
Epoch 18, training loss 0.125:  99%|█████████▉| 181/182 [03:30<00:01,  1.16s/it]
Epoch 18, training loss 0.125: 100%|██████████| 182/182 [03:30<00:00,  1.16s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.568:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.568:   1%|          | 1/90 [00:04<06:45,  4.56s/it]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.721:   1%|          | 1/90 [00:04<07:23,  4.98s/it]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.721:   2%|▏         | 2/90 [00:04<03:39,  2.49s/it]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.788:   2%|▏         | 2/90 [00:05<03:59,  2.72s/it]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.788:   3%|▎         | 3/90 [00:05<02:37,  1.82s/it]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.839:   3%|▎         | 3/90 [00:05<02:51,  1.97s/it]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.839:   4%|▍         | 4/90 [00:05<02:06,  1.47s/it]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.893:   4%|▍         | 4/90 [00:06<02:15,  1.58s/it]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.893:   6%|▌         | 5/90 [00:06<01:47,  1.26s/it]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.896:   6%|▌         | 5/90 [00:06<01:55,  1.35s/it]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.896:   7%|▋         | 6/90 [00:06<01:34,  1.13s/it]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.887:   7%|▋         | 6/90 [00:07<01:41,  1.20s/it]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.887:   8%|▊         | 7/90 [00:07<01:25,  1.03s/it]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.889:   8%|▊         | 7/90 [00:07<01:31,  1.10s/it]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.889:   9%|▉         | 8/90 [00:07<01:18,  1.04it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.892:   9%|▉         | 8/90 [00:08<01:23,  1.02s/it]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.892:  10%|█         | 9/90 [00:08<01:13,  1.11it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.898:  10%|█         | 9/90 [00:08<01:16,  1.05it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.898:  11%|█         | 10/90 [00:08<01:08,  1.17it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.898:  11%|█         | 10/90 [00:08<01:11,  1.11it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.898:  12%|█▏        | 11/90 [00:08<01:04,  1.22it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.895:  12%|█▏        | 11/90 [00:09<01:07,  1.17it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.895:  13%|█▎        | 12/90 [00:09<01:01,  1.28it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.901:  13%|█▎        | 12/90 [00:09<01:04,  1.21it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.901:  14%|█▍        | 13/90 [00:09<00:58,  1.32it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.905:  14%|█▍        | 13/90 [00:10<01:00,  1.26it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.905:  16%|█▌        | 14/90 [00:10<00:55,  1.36it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.904:  16%|█▌        | 14/90 [00:10<00:58,  1.30it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.904:  17%|█▋        | 15/90 [00:10<00:53,  1.40it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.909:  17%|█▋        | 15/90 [00:11<00:55,  1.34it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.909:  18%|█▊        | 16/90 [00:11<00:51,  1.43it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.908:  18%|█▊        | 16/90 [00:11<00:53,  1.38it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.908:  19%|█▉        | 17/90 [00:11<00:49,  1.46it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.903:  19%|█▉        | 17/90 [00:12<00:51,  1.41it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.903:  20%|██        | 18/90 [00:12<00:48,  1.49it/s]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.898:  20%|██        | 18/90 [00:12<00:49,  1.44it/s]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.898:  21%|██        | 19/90 [00:12<00:46,  1.52it/s]
Epoch 18, validation pixAcc: 0.975, mIoU: 0.897:  21%|██        | 19/90 [00:12<00:48,  1.47it/s]
Epoch 18, validation pixAcc: 0.975, mIoU: 0.897:  22%|██▏       | 20/90 [00:12<00:45,  1.55it/s]
Epoch 18, validation pixAcc: 0.975, mIoU: 0.896:  22%|██▏       | 20/90 [00:13<00:46,  1.50it/s]
Epoch 18, validation pixAcc: 0.975, mIoU: 0.896:  23%|██▎       | 21/90 [00:13<00:43,  1.58it/s]
Epoch 18, validation pixAcc: 0.975, mIoU: 0.897:  23%|██▎       | 21/90 [00:13<00:45,  1.53it/s]
Epoch 18, validation pixAcc: 0.975, mIoU: 0.897:  24%|██▍       | 22/90 [00:13<00:42,  1.61it/s]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.899:  24%|██▍       | 22/90 [00:14<00:43,  1.56it/s]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.899:  26%|██▌       | 23/90 [00:14<00:41,  1.63it/s]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.898:  26%|██▌       | 23/90 [00:14<00:42,  1.58it/s]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.898:  27%|██▋       | 24/90 [00:14<00:39,  1.65it/s]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.899:  27%|██▋       | 24/90 [00:14<00:41,  1.61it/s]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.899:  28%|██▊       | 25/90 [00:14<00:38,  1.68it/s]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.899:  28%|██▊       | 25/90 [00:15<00:39,  1.63it/s]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.899:  29%|██▉       | 26/90 [00:15<00:37,  1.69it/s]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.903:  29%|██▉       | 26/90 [00:15<00:38,  1.65it/s]
Epoch 18, validation pixAcc: 0.976, mIoU: 0.903:  30%|███       | 27/90 [00:15<00:36,  1.71it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.904:  30%|███       | 27/90 [00:16<00:37,  1.66it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.904:  31%|███       | 28/90 [00:16<00:35,  1.72it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.903:  31%|███       | 28/90 [00:16<00:37,  1.67it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.903:  32%|███▏      | 29/90 [00:16<00:35,  1.73it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.905:  32%|███▏      | 29/90 [00:17<00:36,  1.69it/s]
Epoch 18, validation pixAcc: 0.977, mIoU: 0.905:  33%|███▎      | 30/90 [00:17<00:34,  1.75it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.906:  33%|███▎      | 30/90 [00:17<00:35,  1.71it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.906:  34%|███▍      | 31/90 [00:17<00:33,  1.77it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.908:  34%|███▍      | 31/90 [00:17<00:34,  1.73it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.908:  36%|███▌      | 32/90 [00:17<00:32,  1.78it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.908:  36%|███▌      | 32/90 [00:18<00:33,  1.74it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.908:  37%|███▋      | 33/90 [00:18<00:31,  1.79it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.910:  37%|███▋      | 33/90 [00:18<00:32,  1.75it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.910:  38%|███▊      | 34/90 [00:18<00:31,  1.81it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.909:  38%|███▊      | 34/90 [00:19<00:31,  1.77it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.909:  39%|███▉      | 35/90 [00:19<00:30,  1.82it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.909:  39%|███▉      | 35/90 [00:19<00:30,  1.78it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.909:  40%|████      | 36/90 [00:19<00:29,  1.83it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.910:  40%|████      | 36/90 [00:20<00:30,  1.79it/s]
Epoch 18, validation pixAcc: 0.978, mIoU: 0.910:  41%|████      | 37/90 [00:20<00:28,  1.84it/s]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.910:  41%|████      | 37/90 [00:20<00:29,  1.80it/s]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.910:  42%|████▏     | 38/90 [00:20<00:28,  1.85it/s]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.910:  42%|████▏     | 38/90 [00:21<00:28,  1.81it/s]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.910:  43%|████▎     | 39/90 [00:21<00:27,  1.85it/s]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.911:  43%|████▎     | 39/90 [00:21<00:28,  1.82it/s]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.911:  44%|████▍     | 40/90 [00:21<00:26,  1.86it/s]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.911:  44%|████▍     | 40/90 [00:21<00:27,  1.83it/s]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.911:  46%|████▌     | 41/90 [00:21<00:26,  1.87it/s]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.911:  46%|████▌     | 41/90 [00:22<00:26,  1.84it/s]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.911:  47%|████▋     | 42/90 [00:22<00:25,  1.88it/s]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.912:  47%|████▋     | 42/90 [00:22<00:26,  1.84it/s]
Epoch 18, validation pixAcc: 0.979, mIoU: 0.912:  48%|████▊     | 43/90 [00:22<00:24,  1.89it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  48%|████▊     | 43/90 [00:23<00:25,  1.85it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  49%|████▉     | 44/90 [00:23<00:24,  1.90it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  49%|████▉     | 44/90 [00:23<00:24,  1.86it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  50%|█████     | 45/90 [00:23<00:23,  1.90it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  50%|█████     | 45/90 [00:24<00:24,  1.87it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  51%|█████     | 46/90 [00:24<00:23,  1.91it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  51%|█████     | 46/90 [00:24<00:23,  1.88it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  52%|█████▏    | 47/90 [00:24<00:22,  1.92it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  52%|█████▏    | 47/90 [00:24<00:22,  1.89it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  53%|█████▎    | 48/90 [00:24<00:21,  1.93it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  53%|█████▎    | 48/90 [00:25<00:22,  1.89it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  54%|█████▍    | 49/90 [00:25<00:21,  1.93it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  54%|█████▍    | 49/90 [00:25<00:21,  1.90it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  56%|█████▌    | 50/90 [00:25<00:20,  1.94it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.914:  56%|█████▌    | 50/90 [00:26<00:21,  1.90it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.914:  57%|█████▋    | 51/90 [00:26<00:20,  1.94it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.914:  57%|█████▋    | 51/90 [00:26<00:20,  1.91it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.914:  58%|█████▊    | 52/90 [00:26<00:19,  1.95it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  58%|█████▊    | 52/90 [00:27<00:19,  1.92it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.913:  59%|█████▉    | 53/90 [00:27<00:18,  1.96it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.914:  59%|█████▉    | 53/90 [00:27<00:19,  1.93it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.914:  60%|██████    | 54/90 [00:27<00:18,  1.97it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.914:  60%|██████    | 54/90 [00:27<00:18,  1.94it/s]
Epoch 18, validation pixAcc: 0.980, mIoU: 0.914:  61%|██████    | 55/90 [00:27<00:17,  1.97it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.914:  61%|██████    | 55/90 [00:28<00:18,  1.94it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.914:  62%|██████▏   | 56/90 [00:28<00:17,  1.98it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.914:  62%|██████▏   | 56/90 [00:28<00:17,  1.94it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.914:  63%|██████▎   | 57/90 [00:28<00:16,  1.98it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.914:  63%|██████▎   | 57/90 [00:29<00:16,  1.95it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.914:  64%|██████▍   | 58/90 [00:29<00:16,  1.98it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.914:  64%|██████▍   | 58/90 [00:29<00:16,  1.95it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.914:  66%|██████▌   | 59/90 [00:29<00:15,  1.99it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.915:  66%|██████▌   | 59/90 [00:30<00:15,  1.96it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.915:  67%|██████▋   | 60/90 [00:30<00:15,  1.99it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.915:  67%|██████▋   | 60/90 [00:30<00:15,  1.97it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.915:  68%|██████▊   | 61/90 [00:30<00:14,  2.00it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.916:  68%|██████▊   | 61/90 [00:30<00:14,  1.98it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.916:  69%|██████▉   | 62/90 [00:30<00:13,  2.01it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.916:  69%|██████▉   | 62/90 [00:31<00:14,  1.98it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.916:  70%|███████   | 63/90 [00:31<00:13,  2.01it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.917:  70%|███████   | 63/90 [00:31<00:13,  1.98it/s]
Epoch 18, validation pixAcc: 0.981, mIoU: 0.917:  71%|███████   | 64/90 [00:31<00:12,  2.02it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.917:  71%|███████   | 64/90 [00:32<00:13,  1.99it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.917:  72%|███████▏  | 65/90 [00:32<00:12,  2.02it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.917:  72%|███████▏  | 65/90 [00:32<00:12,  1.99it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.917:  73%|███████▎  | 66/90 [00:32<00:11,  2.02it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.917:  73%|███████▎  | 66/90 [00:33<00:12,  2.00it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.917:  74%|███████▍  | 67/90 [00:33<00:11,  2.03it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.917:  74%|███████▍  | 67/90 [00:33<00:11,  2.00it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.917:  76%|███████▌  | 68/90 [00:33<00:10,  2.03it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.918:  76%|███████▌  | 68/90 [00:33<00:10,  2.00it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.918:  77%|███████▋  | 69/90 [00:33<00:10,  2.03it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.918:  77%|███████▋  | 69/90 [00:34<00:10,  2.01it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.918:  78%|███████▊  | 70/90 [00:34<00:09,  2.04it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.918:  78%|███████▊  | 70/90 [00:34<00:09,  2.01it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.918:  79%|███████▉  | 71/90 [00:34<00:09,  2.04it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.918:  79%|███████▉  | 71/90 [00:35<00:09,  2.01it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.918:  80%|████████  | 72/90 [00:35<00:08,  2.04it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.918:  80%|████████  | 72/90 [00:35<00:08,  2.02it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.918:  81%|████████  | 73/90 [00:35<00:08,  2.04it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.919:  81%|████████  | 73/90 [00:36<00:08,  2.02it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.919:  82%|████████▏ | 74/90 [00:36<00:07,  2.05it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.919:  82%|████████▏ | 74/90 [00:36<00:07,  2.02it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.919:  83%|████████▎ | 75/90 [00:36<00:07,  2.05it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.919:  83%|████████▎ | 75/90 [00:36<00:07,  2.03it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.919:  84%|████████▍ | 76/90 [00:36<00:06,  2.06it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.919:  84%|████████▍ | 76/90 [00:37<00:06,  2.03it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.919:  86%|████████▌ | 77/90 [00:37<00:06,  2.06it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.919:  86%|████████▌ | 77/90 [00:37<00:06,  2.04it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.919:  87%|████████▋ | 78/90 [00:37<00:05,  2.06it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.920:  87%|████████▋ | 78/90 [00:38<00:05,  2.04it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.920:  88%|████████▊ | 79/90 [00:38<00:05,  2.07it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.920:  88%|████████▊ | 79/90 [00:38<00:05,  2.04it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.920:  89%|████████▉ | 80/90 [00:38<00:04,  2.07it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.920:  89%|████████▉ | 80/90 [00:39<00:04,  2.05it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.920:  90%|█████████ | 81/90 [00:39<00:04,  2.07it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  90%|█████████ | 81/90 [00:39<00:04,  2.05it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  91%|█████████ | 82/90 [00:39<00:03,  2.07it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  91%|█████████ | 82/90 [00:39<00:03,  2.05it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  92%|█████████▏| 83/90 [00:39<00:03,  2.08it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  92%|█████████▏| 83/90 [00:40<00:03,  2.05it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  93%|█████████▎| 84/90 [00:40<00:02,  2.08it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  93%|█████████▎| 84/90 [00:40<00:02,  2.06it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  94%|█████████▍| 85/90 [00:40<00:02,  2.08it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  94%|█████████▍| 85/90 [00:41<00:02,  2.06it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  96%|█████████▌| 86/90 [00:41<00:01,  2.08it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  96%|█████████▌| 86/90 [00:41<00:01,  2.06it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  97%|█████████▋| 87/90 [00:41<00:01,  2.09it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  97%|█████████▋| 87/90 [00:42<00:01,  2.06it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  98%|█████████▊| 88/90 [00:42<00:00,  2.09it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  98%|█████████▊| 88/90 [00:42<00:00,  2.07it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  99%|█████████▉| 89/90 [00:42<00:00,  2.09it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921:  99%|█████████▉| 89/90 [00:43<00:00,  2.07it/s]
Epoch 18, validation pixAcc: 0.982, mIoU: 0.921: 100%|██████████| 90/90 [00:43<00:00,  2.09it/s]

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Epoch 19, training loss 0.041:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 19, training loss 0.041:   1%|          | 1/182 [00:05<16:29,  5.47s/it]
Epoch 19, training loss 0.033:   1%|          | 1/182 [00:06<18:52,  6.26s/it]
Epoch 19, training loss 0.033:   1%|          | 2/182 [00:06<10:07,  3.37s/it]
Epoch 19, training loss 0.076:   1%|          | 2/182 [00:07<11:17,  3.76s/it]
Epoch 19, training loss 0.076:   2%|▏         | 3/182 [00:08<07:59,  2.68s/it]
Epoch 19, training loss 0.065:   2%|▏         | 3/182 [00:08<08:42,  2.92s/it]
Epoch 19, training loss 0.065:   2%|▏         | 4/182 [00:09<06:52,  2.32s/it]
Epoch 19, training loss 0.074:   2%|▏         | 4/182 [00:09<07:21,  2.48s/it]
Epoch 19, training loss 0.074:   3%|▎         | 5/182 [00:10<06:09,  2.09s/it]
Epoch 19, training loss 0.096:   3%|▎         | 5/182 [00:11<06:31,  2.21s/it]
Epoch 19, training loss 0.096:   3%|▎         | 6/182 [00:11<05:40,  1.93s/it]
Epoch 19, training loss 0.086:   3%|▎         | 6/182 [00:12<05:59,  2.05s/it]
Epoch 19, training loss 0.086:   4%|▍         | 7/182 [00:12<05:19,  1.82s/it]
Epoch 19, training loss 0.095:   4%|▍         | 7/182 [00:13<05:34,  1.91s/it]
Epoch 19, training loss 0.095:   4%|▍         | 8/182 [00:13<05:01,  1.73s/it]
Epoch 19, training loss 0.099:   4%|▍         | 8/182 [00:14<05:17,  1.82s/it]
Epoch 19, training loss 0.099:   5%|▍         | 9/182 [00:15<04:50,  1.68s/it]
Epoch 19, training loss 0.098:   5%|▍         | 9/182 [00:15<05:02,  1.75s/it]
Epoch 19, training loss 0.098:   5%|▌         | 10/182 [00:16<04:39,  1.63s/it]
Epoch 19, training loss 0.102:   5%|▌         | 10/182 [00:16<04:51,  1.69s/it]
Epoch 19, training loss 0.102:   6%|▌         | 11/182 [00:17<04:31,  1.59s/it]
Epoch 19, training loss 0.171:   6%|▌         | 11/182 [00:18<04:40,  1.64s/it]
Epoch 19, training loss 0.171:   7%|▋         | 12/182 [00:18<04:22,  1.55s/it]
Epoch 19, training loss 0.167:   7%|▋         | 12/182 [00:19<04:31,  1.60s/it]
Epoch 19, training loss 0.167:   7%|▋         | 13/182 [00:19<04:15,  1.51s/it]
Epoch 19, training loss 0.165:   7%|▋         | 13/182 [00:20<04:24,  1.57s/it]
Epoch 19, training loss 0.165:   8%|▊         | 14/182 [00:20<04:10,  1.49s/it]
Epoch 19, training loss 0.160:   8%|▊         | 14/182 [00:21<04:18,  1.54s/it]
Epoch 19, training loss 0.160:   8%|▊         | 15/182 [00:22<04:05,  1.47s/it]
Epoch 19, training loss 0.154:   8%|▊         | 15/182 [00:22<04:12,  1.51s/it]
Epoch 19, training loss 0.154:   9%|▉         | 16/182 [00:23<04:00,  1.45s/it]
Epoch 19, training loss 0.150:   9%|▉         | 16/182 [00:23<04:07,  1.49s/it]
Epoch 19, training loss 0.150:   9%|▉         | 17/182 [00:24<03:56,  1.43s/it]
Epoch 19, training loss 0.147:   9%|▉         | 17/182 [00:25<04:02,  1.47s/it]
Epoch 19, training loss 0.147:  10%|▉         | 18/182 [00:25<03:52,  1.42s/it]
Epoch 19, training loss 0.141:  10%|▉         | 18/182 [00:26<03:58,  1.46s/it]
Epoch 19, training loss 0.141:  10%|█         | 19/182 [00:26<03:49,  1.41s/it]
Epoch 19, training loss 0.145:  10%|█         | 19/182 [00:27<03:54,  1.44s/it]
Epoch 19, training loss 0.145:  11%|█         | 20/182 [00:27<03:45,  1.39s/it]
Epoch 19, training loss 0.141:  11%|█         | 20/182 [00:28<03:50,  1.42s/it]
Epoch 19, training loss 0.141:  12%|█▏        | 21/182 [00:29<03:42,  1.38s/it]
Epoch 19, training loss 0.136:  12%|█▏        | 21/182 [00:29<03:46,  1.41s/it]
Epoch 19, training loss 0.136:  12%|█▏        | 22/182 [00:30<03:38,  1.37s/it]
Epoch 19, training loss 0.141:  12%|█▏        | 22/182 [00:30<03:43,  1.40s/it]
Epoch 19, training loss 0.141:  13%|█▎        | 23/182 [00:31<03:35,  1.36s/it]
Epoch 19, training loss 0.138:  13%|█▎        | 23/182 [00:31<03:40,  1.38s/it]
Epoch 19, training loss 0.138:  13%|█▎        | 24/182 [00:32<03:32,  1.35s/it]
Epoch 19, training loss 0.142:  13%|█▎        | 24/182 [00:32<03:36,  1.37s/it]
Epoch 19, training loss 0.142:  14%|█▎        | 25/182 [00:33<03:30,  1.34s/it]
Epoch 19, training loss 0.138:  14%|█▎        | 25/182 [00:34<03:34,  1.36s/it]
Epoch 19, training loss 0.138:  14%|█▍        | 26/182 [00:34<03:27,  1.33s/it]
Epoch 19, training loss 0.148:  14%|█▍        | 26/182 [00:35<03:32,  1.36s/it]
Epoch 19, training loss 0.148:  15%|█▍        | 27/182 [00:35<03:26,  1.33s/it]
Epoch 19, training loss 0.150:  15%|█▍        | 27/182 [00:36<03:29,  1.35s/it]
Epoch 19, training loss 0.150:  15%|█▌        | 28/182 [00:37<03:23,  1.32s/it]
Epoch 19, training loss 0.148:  15%|█▌        | 28/182 [00:37<03:27,  1.35s/it]
Epoch 19, training loss 0.148:  16%|█▌        | 29/182 [00:38<03:21,  1.32s/it]
Epoch 19, training loss 0.154:  16%|█▌        | 29/182 [00:38<03:24,  1.34s/it]
Epoch 19, training loss 0.154:  16%|█▋        | 30/182 [00:39<03:19,  1.31s/it]
Epoch 19, training loss 0.150:  16%|█▋        | 30/182 [00:39<03:22,  1.33s/it]
Epoch 19, training loss 0.150:  17%|█▋        | 31/182 [00:40<03:17,  1.31s/it]
Epoch 19, training loss 0.147:  17%|█▋        | 31/182 [00:41<03:20,  1.33s/it]
Epoch 19, training loss 0.147:  18%|█▊        | 32/182 [00:41<03:15,  1.30s/it]
Epoch 19, training loss 0.145:  18%|█▊        | 32/182 [00:42<03:18,  1.32s/it]
Epoch 19, training loss 0.145:  18%|█▊        | 33/182 [00:42<03:13,  1.30s/it]
Epoch 19, training loss 0.146:  18%|█▊        | 33/182 [00:43<03:16,  1.32s/it]
Epoch 19, training loss 0.146:  19%|█▊        | 34/182 [00:43<03:11,  1.29s/it]
Epoch 19, training loss 0.143:  19%|█▊        | 34/182 [00:44<03:14,  1.31s/it]
Epoch 19, training loss 0.143:  19%|█▉        | 35/182 [00:45<03:09,  1.29s/it]
Epoch 19, training loss 0.143:  19%|█▉        | 35/182 [00:45<03:12,  1.31s/it]
Epoch 19, training loss 0.143:  20%|█▉        | 36/182 [00:46<03:07,  1.29s/it]
Epoch 19, training loss 0.145:  20%|█▉        | 36/182 [00:46<03:10,  1.31s/it]
Epoch 19, training loss 0.145:  20%|██        | 37/182 [00:47<03:06,  1.28s/it]
Epoch 19, training loss 0.146:  20%|██        | 37/182 [00:48<03:08,  1.30s/it]
Epoch 19, training loss 0.146:  21%|██        | 38/182 [00:48<03:04,  1.28s/it]
Epoch 19, training loss 0.149:  21%|██        | 38/182 [00:49<03:06,  1.30s/it]
Epoch 19, training loss 0.149:  21%|██▏       | 39/182 [00:49<03:02,  1.28s/it]
Epoch 19, training loss 0.150:  21%|██▏       | 39/182 [00:50<03:04,  1.29s/it]
Epoch 19, training loss 0.150:  22%|██▏       | 40/182 [00:50<03:00,  1.27s/it]
Epoch 19, training loss 0.149:  22%|██▏       | 40/182 [00:51<03:02,  1.29s/it]
Epoch 19, training loss 0.149:  23%|██▎       | 41/182 [00:51<02:58,  1.27s/it]
Epoch 19, training loss 0.147:  23%|██▎       | 41/182 [00:52<03:00,  1.28s/it]
Epoch 19, training loss 0.147:  23%|██▎       | 42/182 [00:53<02:57,  1.27s/it]
Epoch 19, training loss 0.146:  23%|██▎       | 42/182 [00:53<02:59,  1.28s/it]
Epoch 19, training loss 0.146:  24%|██▎       | 43/182 [00:54<02:55,  1.26s/it]
Epoch 19, training loss 0.143:  24%|██▎       | 43/182 [00:54<02:57,  1.28s/it]
Epoch 19, training loss 0.143:  24%|██▍       | 44/182 [00:55<02:53,  1.26s/it]
Epoch 19, training loss 0.144:  24%|██▍       | 44/182 [00:55<02:55,  1.27s/it]
Epoch 19, training loss 0.144:  25%|██▍       | 45/182 [00:56<02:51,  1.25s/it]
Epoch 19, training loss 0.145:  25%|██▍       | 45/182 [00:57<02:53,  1.27s/it]
Epoch 19, training loss 0.145:  25%|██▌       | 46/182 [00:57<02:50,  1.25s/it]
Epoch 19, training loss 0.146:  25%|██▌       | 46/182 [00:58<02:51,  1.26s/it]
Epoch 19, training loss 0.146:  26%|██▌       | 47/182 [00:58<02:48,  1.25s/it]
Epoch 19, training loss 0.147:  26%|██▌       | 47/182 [00:59<02:50,  1.26s/it]
Epoch 19, training loss 0.147:  26%|██▋       | 48/182 [00:59<02:46,  1.24s/it]
Epoch 19, training loss 0.145:  26%|██▋       | 48/182 [01:00<02:48,  1.26s/it]
Epoch 19, training loss 0.145:  27%|██▋       | 49/182 [01:00<02:45,  1.24s/it]
Epoch 19, training loss 0.145:  27%|██▋       | 49/182 [01:01<02:47,  1.26s/it]
Epoch 19, training loss 0.145:  27%|██▋       | 50/182 [01:02<02:44,  1.24s/it]
Epoch 19, training loss 0.144:  27%|██▋       | 50/182 [01:02<02:45,  1.26s/it]
Epoch 19, training loss 0.144:  28%|██▊       | 51/182 [01:03<02:42,  1.24s/it]
Epoch 19, training loss 0.143:  28%|██▊       | 51/182 [01:03<02:44,  1.25s/it]
Epoch 19, training loss 0.143:  29%|██▊       | 52/182 [01:04<02:41,  1.24s/it]
Epoch 19, training loss 0.141:  29%|██▊       | 52/182 [01:05<02:42,  1.25s/it]
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Epoch 19, training loss 0.144:  29%|██▉       | 53/182 [01:06<02:41,  1.25s/it]
Epoch 19, training loss 0.144:  30%|██▉       | 54/182 [01:06<02:38,  1.24s/it]
Epoch 19, training loss 0.143:  30%|██▉       | 54/182 [01:07<02:40,  1.25s/it]
Epoch 19, training loss 0.143:  30%|███       | 55/182 [01:08<02:37,  1.24s/it]
Epoch 19, training loss 0.142:  30%|███       | 55/182 [01:08<02:38,  1.25s/it]
Epoch 19, training loss 0.142:  31%|███       | 56/182 [01:09<02:35,  1.24s/it]
Epoch 19, training loss 0.146:  31%|███       | 56/182 [01:09<02:37,  1.25s/it]
Epoch 19, training loss 0.146:  31%|███▏      | 57/182 [01:10<02:34,  1.24s/it]
Epoch 19, training loss 0.144:  31%|███▏      | 57/182 [01:11<02:36,  1.25s/it]
Epoch 19, training loss 0.144:  32%|███▏      | 58/182 [01:11<02:33,  1.24s/it]
Epoch 19, training loss 0.144:  32%|███▏      | 58/182 [01:12<02:34,  1.25s/it]
Epoch 19, training loss 0.144:  32%|███▏      | 59/182 [01:12<02:32,  1.24s/it]
Epoch 19, training loss 0.155:  32%|███▏      | 59/182 [01:13<02:33,  1.25s/it]
Epoch 19, training loss 0.155:  33%|███▎      | 60/182 [01:14<02:30,  1.23s/it]
Epoch 19, training loss 0.155:  33%|███▎      | 60/182 [01:14<02:32,  1.25s/it]
Epoch 19, training loss 0.155:  34%|███▎      | 61/182 [01:15<02:29,  1.23s/it]
Epoch 19, training loss 0.153:  34%|███▎      | 61/182 [01:15<02:30,  1.25s/it]
Epoch 19, training loss 0.153:  34%|███▍      | 62/182 [01:16<02:28,  1.23s/it]
Epoch 19, training loss 0.152:  34%|███▍      | 62/182 [01:17<02:29,  1.24s/it]
Epoch 19, training loss 0.152:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 19, training loss 0.151:  35%|███▍      | 63/182 [01:18<02:27,  1.24s/it]
Epoch 19, training loss 0.151:  35%|███▌      | 64/182 [01:18<02:25,  1.23s/it]
Epoch 19, training loss 0.150:  35%|███▌      | 64/182 [01:19<02:26,  1.24s/it]
Epoch 19, training loss 0.150:  36%|███▌      | 65/182 [01:19<02:23,  1.23s/it]
Epoch 19, training loss 0.151:  36%|███▌      | 65/182 [01:20<02:25,  1.24s/it]
Epoch 19, training loss 0.151:  36%|███▋      | 66/182 [01:21<02:22,  1.23s/it]
Epoch 19, training loss 0.149:  36%|███▋      | 66/182 [01:21<02:23,  1.24s/it]
Epoch 19, training loss 0.149:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 19, training loss 0.148:  37%|███▋      | 67/182 [01:22<02:22,  1.24s/it]
Epoch 19, training loss 0.148:  37%|███▋      | 68/182 [01:23<02:19,  1.23s/it]
Epoch 19, training loss 0.147:  37%|███▋      | 68/182 [01:24<02:21,  1.24s/it]
Epoch 19, training loss 0.147:  38%|███▊      | 69/182 [01:24<02:18,  1.23s/it]
Epoch 19, training loss 0.147:  38%|███▊      | 69/182 [01:25<02:19,  1.24s/it]
Epoch 19, training loss 0.147:  38%|███▊      | 70/182 [01:25<02:17,  1.23s/it]
Epoch 19, training loss 0.147:  38%|███▊      | 70/182 [01:26<02:18,  1.23s/it]
Epoch 19, training loss 0.147:  39%|███▉      | 71/182 [01:26<02:15,  1.22s/it]
Epoch 19, training loss 0.148:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 19, training loss 0.148:  40%|███▉      | 72/182 [01:28<02:14,  1.22s/it]
Epoch 19, training loss 0.146:  40%|███▉      | 72/182 [01:28<02:15,  1.23s/it]
Epoch 19, training loss 0.146:  40%|████      | 73/182 [01:29<02:13,  1.22s/it]
Epoch 19, training loss 0.145:  40%|████      | 73/182 [01:30<02:14,  1.23s/it]
Epoch 19, training loss 0.145:  41%|████      | 74/182 [01:30<02:12,  1.22s/it]
Epoch 19, training loss 0.145:  41%|████      | 74/182 [01:31<02:13,  1.23s/it]
Epoch 19, training loss 0.145:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 19, training loss 0.144:  41%|████      | 75/182 [01:32<02:11,  1.23s/it]
Epoch 19, training loss 0.144:  42%|████▏     | 76/182 [01:32<02:09,  1.22s/it]
Epoch 19, training loss 0.143:  42%|████▏     | 76/182 [01:33<02:10,  1.23s/it]
Epoch 19, training loss 0.143:  42%|████▏     | 77/182 [01:34<02:08,  1.22s/it]
Epoch 19, training loss 0.142:  42%|████▏     | 77/182 [01:34<02:09,  1.23s/it]
Epoch 19, training loss 0.142:  43%|████▎     | 78/182 [01:35<02:06,  1.22s/it]
Epoch 19, training loss 0.142:  43%|████▎     | 78/182 [01:35<02:07,  1.23s/it]
Epoch 19, training loss 0.142:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
Epoch 19, training loss 0.141:  43%|████▎     | 79/182 [01:36<02:06,  1.23s/it]
Epoch 19, training loss 0.141:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 19, training loss 0.140:  44%|████▍     | 80/182 [01:38<02:05,  1.23s/it]
Epoch 19, training loss 0.140:  45%|████▍     | 81/182 [01:38<02:02,  1.22s/it]
Epoch 19, training loss 0.139:  45%|████▍     | 81/182 [01:39<02:03,  1.23s/it]
Epoch 19, training loss 0.139:  45%|████▌     | 82/182 [01:39<02:01,  1.22s/it]
Epoch 19, training loss 0.138:  45%|████▌     | 82/182 [01:40<02:02,  1.22s/it]
Epoch 19, training loss 0.138:  46%|████▌     | 83/182 [01:40<02:00,  1.22s/it]
Epoch 19, training loss 0.151:  46%|████▌     | 83/182 [01:41<02:01,  1.22s/it]
Epoch 19, training loss 0.151:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 19, training loss 0.150:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 19, training loss 0.150:  47%|████▋     | 85/182 [01:43<01:57,  1.22s/it]
Epoch 19, training loss 0.149:  47%|████▋     | 85/182 [01:44<01:58,  1.22s/it]
Epoch 19, training loss 0.149:  47%|████▋     | 86/182 [01:44<01:56,  1.22s/it]
Epoch 19, training loss 0.149:  47%|████▋     | 86/182 [01:45<01:57,  1.22s/it]
Epoch 19, training loss 0.149:  48%|████▊     | 87/182 [01:45<01:55,  1.22s/it]
Epoch 19, training loss 0.149:  48%|████▊     | 87/182 [01:46<01:56,  1.22s/it]
Epoch 19, training loss 0.149:  48%|████▊     | 88/182 [01:46<01:54,  1.22s/it]
Epoch 19, training loss 0.147:  48%|████▊     | 88/182 [01:47<01:55,  1.22s/it]
Epoch 19, training loss 0.147:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 19, training loss 0.148:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 19, training loss 0.148:  49%|████▉     | 90/182 [01:49<01:51,  1.22s/it]
Epoch 19, training loss 0.147:  49%|████▉     | 90/182 [01:50<01:52,  1.22s/it]
Epoch 19, training loss 0.147:  50%|█████     | 91/182 [01:50<01:50,  1.21s/it]
Epoch 19, training loss 0.147:  50%|█████     | 91/182 [01:51<01:51,  1.22s/it]
Epoch 19, training loss 0.147:  51%|█████     | 92/182 [01:51<01:49,  1.22s/it]
Epoch 19, training loss 0.146:  51%|█████     | 92/182 [01:52<01:50,  1.22s/it]
Epoch 19, training loss 0.146:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 19, training loss 0.146:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 19, training loss 0.146:  52%|█████▏    | 94/182 [01:54<01:46,  1.21s/it]
Epoch 19, training loss 0.145:  52%|█████▏    | 94/182 [01:54<01:47,  1.22s/it]
Epoch 19, training loss 0.145:  52%|█████▏    | 95/182 [01:55<01:45,  1.22s/it]
Epoch 19, training loss 0.148:  52%|█████▏    | 95/182 [01:56<01:46,  1.22s/it]
Epoch 19, training loss 0.148:  53%|█████▎    | 96/182 [01:56<01:44,  1.22s/it]
Epoch 19, training loss 0.147:  53%|█████▎    | 96/182 [01:57<01:45,  1.22s/it]
Epoch 19, training loss 0.147:  53%|█████▎    | 97/182 [01:57<01:43,  1.22s/it]
Epoch 19, training loss 0.147:  53%|█████▎    | 97/182 [01:58<01:43,  1.22s/it]
Epoch 19, training loss 0.147:  54%|█████▍    | 98/182 [01:59<01:42,  1.22s/it]
Epoch 19, training loss 0.148:  54%|█████▍    | 98/182 [01:59<01:42,  1.22s/it]
Epoch 19, training loss 0.148:  54%|█████▍    | 99/182 [02:00<01:40,  1.22s/it]
Epoch 19, training loss 0.147:  54%|█████▍    | 99/182 [02:01<01:41,  1.22s/it]
Epoch 19, training loss 0.147:  55%|█████▍    | 100/182 [02:01<01:39,  1.22s/it]
Epoch 19, training loss 0.146:  55%|█████▍    | 100/182 [02:02<01:40,  1.22s/it]
Epoch 19, training loss 0.146:  55%|█████▌    | 101/182 [02:02<01:38,  1.22s/it]
Epoch 19, training loss 0.145:  55%|█████▌    | 101/182 [02:03<01:39,  1.22s/it]
Epoch 19, training loss 0.145:  56%|█████▌    | 102/182 [02:04<01:37,  1.22s/it]
Epoch 19, training loss 0.148:  56%|█████▌    | 102/182 [02:04<01:37,  1.22s/it]
Epoch 19, training loss 0.148:  57%|█████▋    | 103/182 [02:05<01:36,  1.22s/it]
Epoch 19, training loss 0.147:  57%|█████▋    | 103/182 [02:05<01:36,  1.22s/it]
Epoch 19, training loss 0.147:  57%|█████▋    | 104/182 [02:06<01:34,  1.22s/it]
Epoch 19, training loss 0.146:  57%|█████▋    | 104/182 [02:07<01:35,  1.22s/it]
Epoch 19, training loss 0.146:  58%|█████▊    | 105/182 [02:07<01:33,  1.21s/it]
Epoch 19, training loss 0.146:  58%|█████▊    | 105/182 [02:08<01:34,  1.22s/it]
Epoch 19, training loss 0.146:  58%|█████▊    | 106/182 [02:08<01:32,  1.21s/it]
Epoch 19, training loss 0.147:  58%|█████▊    | 106/182 [02:09<01:32,  1.22s/it]
Epoch 19, training loss 0.147:  59%|█████▉    | 107/182 [02:09<01:31,  1.21s/it]
Epoch 19, training loss 0.146:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 19, training loss 0.146:  59%|█████▉    | 108/182 [02:10<01:29,  1.21s/it]
Epoch 19, training loss 0.145:  59%|█████▉    | 108/182 [02:11<01:30,  1.22s/it]
Epoch 19, training loss 0.145:  60%|█████▉    | 109/182 [02:12<01:28,  1.21s/it]
Epoch 19, training loss 0.146:  60%|█████▉    | 109/182 [02:12<01:28,  1.22s/it]
Epoch 19, training loss 0.146:  60%|██████    | 110/182 [02:13<01:27,  1.21s/it]
Epoch 19, training loss 0.145:  60%|██████    | 110/182 [02:13<01:27,  1.22s/it]
Epoch 19, training loss 0.145:  61%|██████    | 111/182 [02:14<01:25,  1.21s/it]
Epoch 19, training loss 0.144:  61%|██████    | 111/182 [02:14<01:26,  1.22s/it]
Epoch 19, training loss 0.144:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 19, training loss 0.144:  62%|██████▏   | 112/182 [02:16<01:25,  1.21s/it]
Epoch 19, training loss 0.144:  62%|██████▏   | 113/182 [02:16<01:23,  1.21s/it]
Epoch 19, training loss 0.144:  62%|██████▏   | 113/182 [02:17<01:23,  1.21s/it]
Epoch 19, training loss 0.144:  63%|██████▎   | 114/182 [02:17<01:22,  1.21s/it]
Epoch 19, training loss 0.143:  63%|██████▎   | 114/182 [02:18<01:22,  1.21s/it]
Epoch 19, training loss 0.143:  63%|██████▎   | 115/182 [02:18<01:20,  1.21s/it]
Epoch 19, training loss 0.142:  63%|██████▎   | 115/182 [02:19<01:21,  1.21s/it]
Epoch 19, training loss 0.142:  64%|██████▎   | 116/182 [02:19<01:19,  1.21s/it]
Epoch 19, training loss 0.141:  64%|██████▎   | 116/182 [02:20<01:19,  1.21s/it]
Epoch 19, training loss 0.141:  64%|██████▍   | 117/182 [02:20<01:18,  1.20s/it]
Epoch 19, training loss 0.141:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 19, training loss 0.141:  65%|██████▍   | 118/182 [02:22<01:17,  1.20s/it]
Epoch 19, training loss 0.141:  65%|██████▍   | 118/182 [02:22<01:17,  1.21s/it]
Epoch 19, training loss 0.141:  65%|██████▌   | 119/182 [02:23<01:15,  1.20s/it]
Epoch 19, training loss 0.143:  65%|██████▌   | 119/182 [02:23<01:16,  1.21s/it]
Epoch 19, training loss 0.143:  66%|██████▌   | 120/182 [02:24<01:14,  1.20s/it]
Epoch 19, training loss 0.142:  66%|██████▌   | 120/182 [02:24<01:14,  1.21s/it]
Epoch 19, training loss 0.142:  66%|██████▋   | 121/182 [02:25<01:13,  1.20s/it]
Epoch 19, training loss 0.146:  66%|██████▋   | 121/182 [02:26<01:13,  1.21s/it]
Epoch 19, training loss 0.146:  67%|██████▋   | 122/182 [02:26<01:12,  1.20s/it]
Epoch 19, training loss 0.149:  67%|██████▋   | 122/182 [02:27<01:12,  1.21s/it]
Epoch 19, training loss 0.149:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 19, training loss 0.149:  68%|██████▊   | 123/182 [02:28<01:11,  1.21s/it]
Epoch 19, training loss 0.149:  68%|██████▊   | 124/182 [02:28<01:09,  1.20s/it]
Epoch 19, training loss 0.149:  68%|██████▊   | 124/182 [02:29<01:09,  1.21s/it]
Epoch 19, training loss 0.149:  69%|██████▊   | 125/182 [02:29<01:08,  1.20s/it]
Epoch 19, training loss 0.148:  69%|██████▊   | 125/182 [02:30<01:08,  1.20s/it]
Epoch 19, training loss 0.148:  69%|██████▉   | 126/182 [02:31<01:07,  1.20s/it]
Epoch 19, training loss 0.148:  69%|██████▉   | 126/182 [02:31<01:07,  1.20s/it]
Epoch 19, training loss 0.148:  70%|██████▉   | 127/182 [02:32<01:05,  1.20s/it]
Epoch 19, training loss 0.147:  70%|██████▉   | 127/182 [02:32<01:06,  1.20s/it]
Epoch 19, training loss 0.147:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 19, training loss 0.146:  70%|███████   | 128/182 [02:34<01:05,  1.20s/it]
Epoch 19, training loss 0.146:  71%|███████   | 129/182 [02:34<01:03,  1.20s/it]
Epoch 19, training loss 0.147:  71%|███████   | 129/182 [02:35<01:03,  1.20s/it]
Epoch 19, training loss 0.147:  71%|███████▏  | 130/182 [02:35<01:02,  1.20s/it]
Epoch 19, training loss 0.146:  71%|███████▏  | 130/182 [02:36<01:02,  1.20s/it]
Epoch 19, training loss 0.146:  72%|███████▏  | 131/182 [02:36<01:01,  1.20s/it]
Epoch 19, training loss 0.146:  72%|███████▏  | 131/182 [02:37<01:01,  1.20s/it]
Epoch 19, training loss 0.146:  73%|███████▎  | 132/182 [02:38<00:59,  1.20s/it]
Epoch 19, training loss 0.145:  73%|███████▎  | 132/182 [02:38<01:00,  1.20s/it]
Epoch 19, training loss 0.145:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 19, training loss 0.145:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 19, training loss 0.145:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
Epoch 19, training loss 0.145:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
Epoch 19, training loss 0.145:  74%|███████▍  | 135/182 [02:41<00:56,  1.20s/it]
Epoch 19, training loss 0.144:  74%|███████▍  | 135/182 [02:42<00:56,  1.20s/it]
Epoch 19, training loss 0.144:  75%|███████▍  | 136/182 [02:42<00:54,  1.19s/it]
Epoch 19, training loss 0.144:  75%|███████▍  | 136/182 [02:43<00:55,  1.20s/it]
Epoch 19, training loss 0.144:  75%|███████▌  | 137/182 [02:43<00:53,  1.19s/it]
Epoch 19, training loss 0.143:  75%|███████▌  | 137/182 [02:44<00:53,  1.20s/it]
Epoch 19, training loss 0.143:  76%|███████▌  | 138/182 [02:44<00:52,  1.19s/it]
Epoch 19, training loss 0.143:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 19, training loss 0.143:  76%|███████▋  | 139/182 [02:45<00:51,  1.19s/it]
Epoch 19, training loss 0.143:  76%|███████▋  | 139/182 [02:46<00:51,  1.20s/it]
Epoch 19, training loss 0.143:  77%|███████▋  | 140/182 [02:47<00:50,  1.19s/it]
Epoch 19, training loss 0.142:  77%|███████▋  | 140/182 [02:47<00:50,  1.20s/it]
Epoch 19, training loss 0.142:  77%|███████▋  | 141/182 [02:48<00:48,  1.19s/it]
Epoch 19, training loss 0.142:  77%|███████▋  | 141/182 [02:48<00:49,  1.20s/it]
Epoch 19, training loss 0.142:  78%|███████▊  | 142/182 [02:49<00:47,  1.19s/it]
Epoch 19, training loss 0.141:  78%|███████▊  | 142/182 [02:50<00:47,  1.20s/it]
Epoch 19, training loss 0.141:  79%|███████▊  | 143/182 [02:50<00:46,  1.19s/it]
Epoch 19, training loss 0.141:  79%|███████▊  | 143/182 [02:51<00:46,  1.20s/it]
Epoch 19, training loss 0.141:  79%|███████▉  | 144/182 [02:51<00:45,  1.19s/it]
Epoch 19, training loss 0.141:  79%|███████▉  | 144/182 [02:52<00:45,  1.20s/it]
Epoch 19, training loss 0.141:  80%|███████▉  | 145/182 [02:52<00:44,  1.19s/it]
Epoch 19, training loss 0.140:  80%|███████▉  | 145/182 [02:53<00:44,  1.20s/it]
Epoch 19, training loss 0.140:  80%|████████  | 146/182 [02:54<00:42,  1.19s/it]
Epoch 19, training loss 0.141:  80%|████████  | 146/182 [02:54<00:43,  1.20s/it]
Epoch 19, training loss 0.141:  81%|████████  | 147/182 [02:55<00:41,  1.19s/it]
Epoch 19, training loss 0.140:  81%|████████  | 147/182 [02:55<00:41,  1.20s/it]
Epoch 19, training loss 0.140:  81%|████████▏ | 148/182 [02:56<00:40,  1.19s/it]
Epoch 19, training loss 0.140:  81%|████████▏ | 148/182 [02:57<00:40,  1.20s/it]
Epoch 19, training loss 0.140:  82%|████████▏ | 149/182 [02:57<00:39,  1.19s/it]
Epoch 19, training loss 0.140:  82%|████████▏ | 149/182 [02:58<00:39,  1.20s/it]
Epoch 19, training loss 0.140:  82%|████████▏ | 150/182 [02:58<00:38,  1.19s/it]
Epoch 19, training loss 0.139:  82%|████████▏ | 150/182 [02:59<00:38,  1.20s/it]
Epoch 19, training loss 0.139:  83%|████████▎ | 151/182 [02:59<00:36,  1.19s/it]
Epoch 19, training loss 0.139:  83%|████████▎ | 151/182 [03:00<00:37,  1.20s/it]
Epoch 19, training loss 0.139:  84%|████████▎ | 152/182 [03:01<00:35,  1.19s/it]
Epoch 19, training loss 0.139:  84%|████████▎ | 152/182 [03:01<00:35,  1.20s/it]
Epoch 19, training loss 0.139:  84%|████████▍ | 153/182 [03:02<00:34,  1.19s/it]
Epoch 19, training loss 0.139:  84%|████████▍ | 153/182 [03:02<00:34,  1.20s/it]
Epoch 19, training loss 0.139:  85%|████████▍ | 154/182 [03:03<00:33,  1.19s/it]
Epoch 19, training loss 0.138:  85%|████████▍ | 154/182 [03:04<00:33,  1.20s/it]
Epoch 19, training loss 0.138:  85%|████████▌ | 155/182 [03:04<00:32,  1.19s/it]
Epoch 19, training loss 0.138:  85%|████████▌ | 155/182 [03:05<00:32,  1.20s/it]
Epoch 19, training loss 0.138:  86%|████████▌ | 156/182 [03:05<00:30,  1.19s/it]
Epoch 19, training loss 0.137:  86%|████████▌ | 156/182 [03:06<00:31,  1.19s/it]
Epoch 19, training loss 0.137:  86%|████████▋ | 157/182 [03:06<00:29,  1.19s/it]
Epoch 19, training loss 0.137:  86%|████████▋ | 157/182 [03:07<00:29,  1.19s/it]
Epoch 19, training loss 0.137:  87%|████████▋ | 158/182 [03:08<00:28,  1.19s/it]
Epoch 19, training loss 0.138:  87%|████████▋ | 158/182 [03:08<00:28,  1.19s/it]
Epoch 19, training loss 0.138:  87%|████████▋ | 159/182 [03:09<00:27,  1.19s/it]
Epoch 19, training loss 0.138:  87%|████████▋ | 159/182 [03:09<00:27,  1.19s/it]
Epoch 19, training loss 0.138:  88%|████████▊ | 160/182 [03:10<00:26,  1.19s/it]
Epoch 19, training loss 0.139:  88%|████████▊ | 160/182 [03:10<00:26,  1.19s/it]
Epoch 19, training loss 0.139:  88%|████████▊ | 161/182 [03:11<00:24,  1.19s/it]
Epoch 19, training loss 0.139:  88%|████████▊ | 161/182 [03:12<00:25,  1.19s/it]
Epoch 19, training loss 0.139:  89%|████████▉ | 162/182 [03:12<00:23,  1.19s/it]
Epoch 19, training loss 0.138:  89%|████████▉ | 162/182 [03:13<00:23,  1.19s/it]
Epoch 19, training loss 0.138:  90%|████████▉ | 163/182 [03:13<00:22,  1.19s/it]
Epoch 19, training loss 0.138:  90%|████████▉ | 163/182 [03:14<00:22,  1.19s/it]
Epoch 19, training loss 0.138:  90%|█████████ | 164/182 [03:14<00:21,  1.19s/it]
Epoch 19, training loss 0.137:  90%|█████████ | 164/182 [03:15<00:21,  1.19s/it]
Epoch 19, training loss 0.137:  91%|█████████ | 165/182 [03:15<00:20,  1.19s/it]
Epoch 19, training loss 0.137:  91%|█████████ | 165/182 [03:16<00:20,  1.19s/it]
Epoch 19, training loss 0.137:  91%|█████████ | 166/182 [03:17<00:19,  1.19s/it]
Epoch 19, training loss 0.138:  91%|█████████ | 166/182 [03:17<00:19,  1.19s/it]
Epoch 19, training loss 0.138:  92%|█████████▏| 167/182 [03:18<00:17,  1.19s/it]
Epoch 19, training loss 0.138:  92%|█████████▏| 167/182 [03:18<00:17,  1.19s/it]
Epoch 19, training loss 0.138:  92%|█████████▏| 168/182 [03:19<00:16,  1.19s/it]
Epoch 19, training loss 0.138:  92%|█████████▏| 168/182 [03:20<00:16,  1.19s/it]
Epoch 19, training loss 0.138:  93%|█████████▎| 169/182 [03:20<00:15,  1.19s/it]
Epoch 19, training loss 0.138:  93%|█████████▎| 169/182 [03:21<00:15,  1.19s/it]
Epoch 19, training loss 0.138:  93%|█████████▎| 170/182 [03:21<00:14,  1.19s/it]
Epoch 19, training loss 0.137:  93%|█████████▎| 170/182 [03:22<00:14,  1.19s/it]
Epoch 19, training loss 0.137:  94%|█████████▍| 171/182 [03:22<00:13,  1.19s/it]
Epoch 19, training loss 0.137:  94%|█████████▍| 171/182 [03:23<00:13,  1.19s/it]
Epoch 19, training loss 0.137:  95%|█████████▍| 172/182 [03:23<00:11,  1.19s/it]
Epoch 19, training loss 0.137:  95%|█████████▍| 172/182 [03:24<00:11,  1.19s/it]
Epoch 19, training loss 0.137:  95%|█████████▌| 173/182 [03:25<00:10,  1.19s/it]
Epoch 19, training loss 0.137:  95%|█████████▌| 173/182 [03:25<00:10,  1.19s/it]
Epoch 19, training loss 0.137:  96%|█████████▌| 174/182 [03:26<00:09,  1.19s/it]
Epoch 19, training loss 0.137:  96%|█████████▌| 174/182 [03:26<00:09,  1.19s/it]
Epoch 19, training loss 0.137:  96%|█████████▌| 175/182 [03:27<00:08,  1.19s/it]
Epoch 19, training loss 0.137:  96%|█████████▌| 175/182 [03:28<00:08,  1.19s/it]
Epoch 19, training loss 0.137:  97%|█████████▋| 176/182 [03:28<00:07,  1.19s/it]
Epoch 19, training loss 0.137:  97%|█████████▋| 176/182 [03:29<00:07,  1.19s/it]
Epoch 19, training loss 0.137:  97%|█████████▋| 177/182 [03:29<00:05,  1.19s/it]
Epoch 19, training loss 0.137:  97%|█████████▋| 177/182 [03:30<00:05,  1.19s/it]
Epoch 19, training loss 0.137:  98%|█████████▊| 178/182 [03:31<00:04,  1.19s/it]
Epoch 19, training loss 0.136:  98%|█████████▊| 178/182 [03:31<00:04,  1.19s/it]
Epoch 19, training loss 0.136:  98%|█████████▊| 179/182 [03:32<00:03,  1.19s/it]
Epoch 19, training loss 0.138:  98%|█████████▊| 179/182 [03:32<00:03,  1.19s/it]
Epoch 19, training loss 0.138:  99%|█████████▉| 180/182 [03:33<00:02,  1.19s/it]
Epoch 19, training loss 0.138:  99%|█████████▉| 180/182 [03:33<00:02,  1.19s/it]
Epoch 19, training loss 0.138:  99%|█████████▉| 181/182 [03:34<00:01,  1.19s/it]
Epoch 19, training loss 0.138:  99%|█████████▉| 181/182 [03:35<00:01,  1.19s/it]
Epoch 19, training loss 0.138: 100%|██████████| 182/182 [03:35<00:00,  1.19s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.604:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.604:   1%|          | 1/91 [00:04<07:06,  4.74s/it]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.751:   1%|          | 1/91 [00:05<07:47,  5.20s/it]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.751:   2%|▏         | 2/91 [00:05<03:51,  2.60s/it]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.788:   2%|▏         | 2/91 [00:05<04:09,  2.81s/it]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.788:   3%|▎         | 3/91 [00:05<02:44,  1.87s/it]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.797:   3%|▎         | 3/91 [00:06<02:57,  2.01s/it]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.797:   4%|▍         | 4/91 [00:06<02:11,  1.51s/it]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.894:   4%|▍         | 4/91 [00:06<02:21,  1.63s/it]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.894:   5%|▌         | 5/91 [00:06<01:52,  1.30s/it]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.901:   5%|▌         | 5/91 [00:06<01:59,  1.40s/it]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.901:   7%|▋         | 6/91 [00:06<01:38,  1.16s/it]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.899:   7%|▋         | 6/91 [00:07<01:45,  1.24s/it]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.899:   8%|▊         | 7/91 [00:07<01:29,  1.06s/it]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.898:   8%|▊         | 7/91 [00:07<01:34,  1.12s/it]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.898:   9%|▉         | 8/91 [00:07<01:21,  1.02it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.902:   9%|▉         | 8/91 [00:08<01:25,  1.03s/it]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.902:  10%|▉         | 9/91 [00:08<01:15,  1.09it/s]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.905:  10%|▉         | 9/91 [00:08<01:19,  1.03it/s]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.905:  11%|█         | 10/91 [00:08<01:10,  1.15it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.905:  11%|█         | 10/91 [00:09<01:14,  1.09it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.905:  12%|█▏        | 11/91 [00:09<01:06,  1.20it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.903:  12%|█▏        | 11/91 [00:09<01:09,  1.14it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.903:  13%|█▎        | 12/91 [00:09<01:03,  1.25it/s]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.900:  13%|█▎        | 12/91 [00:10<01:06,  1.20it/s]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.900:  14%|█▍        | 13/91 [00:10<01:00,  1.30it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.909:  14%|█▍        | 13/91 [00:10<01:02,  1.24it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.909:  15%|█▌        | 14/91 [00:10<00:57,  1.34it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.908:  15%|█▌        | 14/91 [00:10<00:59,  1.28it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.908:  16%|█▋        | 15/91 [00:10<00:55,  1.38it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.913:  16%|█▋        | 15/91 [00:11<00:57,  1.32it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.913:  18%|█▊        | 16/91 [00:11<00:53,  1.41it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.912:  18%|█▊        | 16/91 [00:11<00:55,  1.35it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.912:  19%|█▊        | 17/91 [00:11<00:51,  1.44it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.911:  19%|█▊        | 17/91 [00:12<00:53,  1.39it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.911:  20%|█▉        | 18/91 [00:12<00:49,  1.47it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.905:  20%|█▉        | 18/91 [00:12<00:51,  1.42it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.905:  21%|██        | 19/91 [00:12<00:48,  1.50it/s]
Epoch 19, validation pixAcc: 0.976, mIoU: 0.902:  21%|██        | 19/91 [00:13<00:49,  1.44it/s]
Epoch 19, validation pixAcc: 0.976, mIoU: 0.902:  22%|██▏       | 20/91 [00:13<00:46,  1.52it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.902:  22%|██▏       | 20/91 [00:13<00:48,  1.47it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.902:  23%|██▎       | 21/91 [00:13<00:45,  1.54it/s]
Epoch 19, validation pixAcc: 0.976, mIoU: 0.900:  23%|██▎       | 21/91 [00:14<00:46,  1.50it/s]
Epoch 19, validation pixAcc: 0.976, mIoU: 0.900:  24%|██▍       | 22/91 [00:14<00:44,  1.57it/s]
Epoch 19, validation pixAcc: 0.976, mIoU: 0.902:  24%|██▍       | 22/91 [00:14<00:45,  1.52it/s]
Epoch 19, validation pixAcc: 0.976, mIoU: 0.902:  25%|██▌       | 23/91 [00:14<00:42,  1.59it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.903:  25%|██▌       | 23/91 [00:14<00:43,  1.55it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.903:  26%|██▋       | 24/91 [00:14<00:41,  1.61it/s]
Epoch 19, validation pixAcc: 0.976, mIoU: 0.901:  26%|██▋       | 24/91 [00:15<00:42,  1.57it/s]
Epoch 19, validation pixAcc: 0.976, mIoU: 0.901:  27%|██▋       | 25/91 [00:15<00:40,  1.63it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.903:  27%|██▋       | 25/91 [00:15<00:41,  1.59it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.903:  29%|██▊       | 26/91 [00:15<00:39,  1.65it/s]
Epoch 19, validation pixAcc: 0.976, mIoU: 0.903:  29%|██▊       | 26/91 [00:16<00:40,  1.61it/s]
Epoch 19, validation pixAcc: 0.976, mIoU: 0.903:  30%|██▉       | 27/91 [00:16<00:38,  1.67it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.906:  30%|██▉       | 27/91 [00:16<00:39,  1.63it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.906:  31%|███       | 28/91 [00:16<00:37,  1.69it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.905:  31%|███       | 28/91 [00:17<00:38,  1.64it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.905:  32%|███▏      | 29/91 [00:17<00:36,  1.70it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.907:  32%|███▏      | 29/91 [00:17<00:37,  1.66it/s]
Epoch 19, validation pixAcc: 0.977, mIoU: 0.907:  33%|███▎      | 30/91 [00:17<00:35,  1.72it/s]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.908:  33%|███▎      | 30/91 [00:17<00:36,  1.67it/s]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.908:  34%|███▍      | 31/91 [00:17<00:34,  1.73it/s]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.909:  34%|███▍      | 31/91 [00:18<00:35,  1.69it/s]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.909:  35%|███▌      | 32/91 [00:18<00:33,  1.74it/s]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.911:  35%|███▌      | 32/91 [00:18<00:34,  1.70it/s]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.911:  36%|███▋      | 33/91 [00:18<00:33,  1.75it/s]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.911:  36%|███▋      | 33/91 [00:19<00:33,  1.71it/s]
Epoch 19, validation pixAcc: 0.978, mIoU: 0.911:  37%|███▋      | 34/91 [00:19<00:32,  1.77it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.912:  37%|███▋      | 34/91 [00:19<00:32,  1.73it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.912:  38%|███▊      | 35/91 [00:19<00:31,  1.78it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.911:  38%|███▊      | 35/91 [00:20<00:32,  1.74it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.911:  40%|███▉      | 36/91 [00:20<00:30,  1.79it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.912:  40%|███▉      | 36/91 [00:20<00:31,  1.75it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.912:  41%|████      | 37/91 [00:20<00:29,  1.80it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.912:  41%|████      | 37/91 [00:20<00:30,  1.76it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.912:  42%|████▏     | 38/91 [00:20<00:29,  1.81it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.912:  42%|████▏     | 38/91 [00:21<00:29,  1.77it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.912:  43%|████▎     | 39/91 [00:21<00:28,  1.82it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.913:  43%|████▎     | 39/91 [00:21<00:29,  1.79it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.913:  44%|████▍     | 40/91 [00:21<00:27,  1.83it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.913:  44%|████▍     | 40/91 [00:22<00:28,  1.80it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.913:  45%|████▌     | 41/91 [00:22<00:27,  1.84it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.913:  45%|████▌     | 41/91 [00:22<00:27,  1.81it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.913:  46%|████▌     | 42/91 [00:22<00:26,  1.85it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.914:  46%|████▌     | 42/91 [00:23<00:26,  1.82it/s]
Epoch 19, validation pixAcc: 0.979, mIoU: 0.914:  47%|████▋     | 43/91 [00:23<00:25,  1.86it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.915:  47%|████▋     | 43/91 [00:23<00:26,  1.83it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.915:  48%|████▊     | 44/91 [00:23<00:25,  1.87it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.915:  48%|████▊     | 44/91 [00:24<00:25,  1.83it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.915:  49%|████▉     | 45/91 [00:24<00:24,  1.87it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.915:  49%|████▉     | 45/91 [00:24<00:24,  1.84it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.915:  51%|█████     | 46/91 [00:24<00:23,  1.88it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.916:  51%|█████     | 46/91 [00:24<00:24,  1.85it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.916:  52%|█████▏    | 47/91 [00:24<00:23,  1.89it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.916:  52%|█████▏    | 47/91 [00:25<00:23,  1.86it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.916:  53%|█████▎    | 48/91 [00:25<00:22,  1.89it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.915:  53%|█████▎    | 48/91 [00:25<00:23,  1.86it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.915:  54%|█████▍    | 49/91 [00:25<00:22,  1.90it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.915:  54%|█████▍    | 49/91 [00:26<00:22,  1.87it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.915:  55%|█████▍    | 50/91 [00:26<00:21,  1.91it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.915:  55%|█████▍    | 50/91 [00:26<00:21,  1.88it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.915:  56%|█████▌    | 51/91 [00:26<00:20,  1.92it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.916:  56%|█████▌    | 51/91 [00:27<00:21,  1.89it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.916:  57%|█████▋    | 52/91 [00:27<00:20,  1.92it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.916:  57%|█████▋    | 52/91 [00:27<00:20,  1.89it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.916:  58%|█████▊    | 53/91 [00:27<00:19,  1.93it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.915:  58%|█████▊    | 53/91 [00:27<00:19,  1.90it/s]
Epoch 19, validation pixAcc: 0.980, mIoU: 0.915:  59%|█████▉    | 54/91 [00:27<00:19,  1.94it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.915:  59%|█████▉    | 54/91 [00:28<00:19,  1.91it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.915:  60%|██████    | 55/91 [00:28<00:18,  1.94it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.916:  60%|██████    | 55/91 [00:28<00:18,  1.91it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.916:  62%|██████▏   | 56/91 [00:28<00:17,  1.95it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.916:  62%|██████▏   | 56/91 [00:29<00:18,  1.92it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.916:  63%|██████▎   | 57/91 [00:29<00:17,  1.95it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.916:  63%|██████▎   | 57/91 [00:29<00:17,  1.92it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.916:  64%|██████▎   | 58/91 [00:29<00:16,  1.95it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.916:  64%|██████▎   | 58/91 [00:30<00:17,  1.93it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.916:  65%|██████▍   | 59/91 [00:30<00:16,  1.96it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.915:  65%|██████▍   | 59/91 [00:30<00:16,  1.93it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.915:  66%|██████▌   | 60/91 [00:30<00:15,  1.96it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.917:  66%|██████▌   | 60/91 [00:31<00:16,  1.93it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.917:  67%|██████▋   | 61/91 [00:31<00:15,  1.97it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.917:  67%|██████▋   | 61/91 [00:31<00:15,  1.94it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.917:  68%|██████▊   | 62/91 [00:31<00:14,  1.97it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.917:  68%|██████▊   | 62/91 [00:31<00:14,  1.94it/s]
Epoch 19, validation pixAcc: 0.981, mIoU: 0.917:  69%|██████▉   | 63/91 [00:31<00:14,  1.98it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.918:  69%|██████▉   | 63/91 [00:32<00:14,  1.95it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.918:  70%|███████   | 64/91 [00:32<00:13,  1.98it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.918:  70%|███████   | 64/91 [00:32<00:13,  1.95it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.918:  71%|███████▏  | 65/91 [00:32<00:13,  1.98it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.919:  71%|███████▏  | 65/91 [00:33<00:13,  1.96it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.919:  73%|███████▎  | 66/91 [00:33<00:12,  1.99it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.919:  73%|███████▎  | 66/91 [00:33<00:12,  1.96it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.919:  74%|███████▎  | 67/91 [00:33<00:12,  1.99it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.919:  74%|███████▎  | 67/91 [00:34<00:12,  1.97it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.919:  75%|███████▍  | 68/91 [00:34<00:11,  2.00it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.919:  75%|███████▍  | 68/91 [00:34<00:11,  1.97it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.919:  76%|███████▌  | 69/91 [00:34<00:10,  2.00it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.919:  76%|███████▌  | 69/91 [00:34<00:11,  1.98it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.919:  77%|███████▋  | 70/91 [00:34<00:10,  2.00it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.919:  77%|███████▋  | 70/91 [00:35<00:10,  1.98it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.919:  78%|███████▊  | 71/91 [00:35<00:09,  2.01it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.920:  78%|███████▊  | 71/91 [00:35<00:10,  1.98it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.920:  79%|███████▉  | 72/91 [00:35<00:09,  2.01it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.920:  79%|███████▉  | 72/91 [00:36<00:09,  1.99it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.920:  80%|████████  | 73/91 [00:36<00:08,  2.02it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.919:  80%|████████  | 73/91 [00:36<00:09,  2.00it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.919:  81%|████████▏ | 74/91 [00:36<00:08,  2.03it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.920:  81%|████████▏ | 74/91 [00:36<00:08,  2.00it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.920:  82%|████████▏ | 75/91 [00:36<00:07,  2.03it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.920:  82%|████████▏ | 75/91 [00:37<00:07,  2.01it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.920:  84%|████████▎ | 76/91 [00:37<00:07,  2.03it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.921:  84%|████████▎ | 76/91 [00:37<00:07,  2.01it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.921:  85%|████████▍ | 77/91 [00:37<00:06,  2.04it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.920:  85%|████████▍ | 77/91 [00:38<00:06,  2.02it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.920:  86%|████████▌ | 78/91 [00:38<00:06,  2.04it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.920:  86%|████████▌ | 78/91 [00:38<00:06,  2.02it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.920:  87%|████████▋ | 79/91 [00:38<00:05,  2.05it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.921:  87%|████████▋ | 79/91 [00:39<00:05,  2.02it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.921:  88%|████████▊ | 80/91 [00:39<00:05,  2.05it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.921:  88%|████████▊ | 80/91 [00:39<00:05,  2.03it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.921:  89%|████████▉ | 81/91 [00:39<00:04,  2.05it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  89%|████████▉ | 81/91 [00:39<00:04,  2.03it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  90%|█████████ | 82/91 [00:39<00:04,  2.06it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  90%|█████████ | 82/91 [00:40<00:04,  2.03it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  91%|█████████ | 83/91 [00:40<00:03,  2.06it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  91%|█████████ | 83/91 [00:40<00:03,  2.04it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  92%|█████████▏| 84/91 [00:40<00:03,  2.06it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  92%|█████████▏| 84/91 [00:41<00:03,  2.04it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  93%|█████████▎| 85/91 [00:41<00:02,  2.07it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  93%|█████████▎| 85/91 [00:41<00:02,  2.05it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  95%|█████████▍| 86/91 [00:41<00:02,  2.07it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  95%|█████████▍| 86/91 [00:41<00:02,  2.05it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  96%|█████████▌| 87/91 [00:41<00:01,  2.07it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  96%|█████████▌| 87/91 [00:42<00:01,  2.05it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  97%|█████████▋| 88/91 [00:42<00:01,  2.08it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  97%|█████████▋| 88/91 [00:42<00:01,  2.06it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  98%|█████████▊| 89/91 [00:42<00:00,  2.08it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  98%|█████████▊| 89/91 [00:43<00:00,  2.06it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  99%|█████████▉| 90/91 [00:43<00:00,  2.08it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922:  99%|█████████▉| 90/91 [00:43<00:00,  2.06it/s]
Epoch 19, validation pixAcc: 0.982, mIoU: 0.922: 100%|██████████| 91/91 [00:43<00:00,  2.08it/s]

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Epoch 20, training loss 0.062:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 20, training loss 0.062:   1%|          | 1/182 [00:05<15:14,  5.05s/it]
Epoch 20, training loss 0.087:   1%|          | 1/182 [00:05<17:22,  5.76s/it]
Epoch 20, training loss 0.087:   1%|          | 2/182 [00:06<09:26,  3.15s/it]
Epoch 20, training loss 0.100:   1%|          | 2/182 [00:06<10:19,  3.44s/it]
Epoch 20, training loss 0.100:   2%|▏         | 3/182 [00:07<07:21,  2.47s/it]
Epoch 20, training loss 0.081:   2%|▏         | 3/182 [00:08<08:00,  2.68s/it]
Epoch 20, training loss 0.081:   2%|▏         | 4/182 [00:08<06:21,  2.14s/it]
Epoch 20, training loss 0.074:   2%|▏         | 4/182 [00:09<06:50,  2.31s/it]
Epoch 20, training loss 0.074:   3%|▎         | 5/182 [00:09<05:44,  1.95s/it]
Epoch 20, training loss 0.086:   3%|▎         | 5/182 [00:10<06:07,  2.08s/it]
Epoch 20, training loss 0.086:   3%|▎         | 6/182 [00:10<05:20,  1.82s/it]
Epoch 20, training loss 0.091:   3%|▎         | 6/182 [00:11<05:41,  1.94s/it]
Epoch 20, training loss 0.091:   4%|▍         | 7/182 [00:12<05:03,  1.74s/it]
Epoch 20, training loss 0.091:   4%|▍         | 7/182 [00:12<05:21,  1.84s/it]
Epoch 20, training loss 0.091:   4%|▍         | 8/182 [00:13<04:49,  1.67s/it]
Epoch 20, training loss 0.091:   4%|▍         | 8/182 [00:14<05:06,  1.76s/it]
Epoch 20, training loss 0.091:   5%|▍         | 9/182 [00:14<04:40,  1.62s/it]
Epoch 20, training loss 0.088:   5%|▍         | 9/182 [00:15<04:51,  1.69s/it]
Epoch 20, training loss 0.088:   5%|▌         | 10/182 [00:15<04:29,  1.57s/it]
Epoch 20, training loss 0.089:   5%|▌         | 10/182 [00:16<04:39,  1.63s/it]
Epoch 20, training loss 0.089:   6%|▌         | 11/182 [00:16<04:21,  1.53s/it]
Epoch 20, training loss 0.096:   6%|▌         | 11/182 [00:17<04:30,  1.58s/it]
Epoch 20, training loss 0.096:   7%|▋         | 12/182 [00:17<04:13,  1.49s/it]
Epoch 20, training loss 0.092:   7%|▋         | 12/182 [00:18<04:22,  1.55s/it]
Epoch 20, training loss 0.092:   7%|▋         | 13/182 [00:19<04:08,  1.47s/it]
Epoch 20, training loss 0.089:   7%|▋         | 13/182 [00:19<04:17,  1.52s/it]
Epoch 20, training loss 0.089:   8%|▊         | 14/182 [00:20<04:03,  1.45s/it]
Epoch 20, training loss 0.099:   8%|▊         | 14/182 [00:20<04:11,  1.50s/it]
Epoch 20, training loss 0.099:   8%|▊         | 15/182 [00:21<03:59,  1.43s/it]
Epoch 20, training loss 0.096:   8%|▊         | 15/182 [00:22<04:05,  1.47s/it]
Epoch 20, training loss 0.096:   9%|▉         | 16/182 [00:22<03:54,  1.41s/it]
Epoch 20, training loss 0.103:   9%|▉         | 16/182 [00:23<04:01,  1.45s/it]
Epoch 20, training loss 0.103:   9%|▉         | 17/182 [00:23<03:50,  1.40s/it]
Epoch 20, training loss 0.118:   9%|▉         | 17/182 [00:24<03:57,  1.44s/it]
Epoch 20, training loss 0.118:  10%|▉         | 18/182 [00:24<03:47,  1.39s/it]
Epoch 20, training loss 0.123:  10%|▉         | 18/182 [00:25<03:53,  1.42s/it]
Epoch 20, training loss 0.123:  10%|█         | 19/182 [00:26<03:44,  1.38s/it]
Epoch 20, training loss 0.127:  10%|█         | 19/182 [00:26<03:49,  1.41s/it]
Epoch 20, training loss 0.127:  11%|█         | 20/182 [00:27<03:41,  1.37s/it]
Epoch 20, training loss 0.128:  11%|█         | 20/182 [00:27<03:46,  1.40s/it]
Epoch 20, training loss 0.128:  12%|█▏        | 21/182 [00:28<03:38,  1.35s/it]
Epoch 20, training loss 0.125:  12%|█▏        | 21/182 [00:29<03:43,  1.39s/it]
Epoch 20, training loss 0.125:  12%|█▏        | 22/182 [00:29<03:35,  1.35s/it]
Epoch 20, training loss 0.123:  12%|█▏        | 22/182 [00:30<03:40,  1.38s/it]
Epoch 20, training loss 0.123:  13%|█▎        | 23/182 [00:30<03:33,  1.34s/it]
Epoch 20, training loss 0.120:  13%|█▎        | 23/182 [00:31<03:38,  1.37s/it]
Epoch 20, training loss 0.120:  13%|█▎        | 24/182 [00:32<03:31,  1.34s/it]
Epoch 20, training loss 0.118:  13%|█▎        | 24/182 [00:32<03:35,  1.37s/it]
Epoch 20, training loss 0.118:  14%|█▎        | 25/182 [00:33<03:28,  1.33s/it]
Epoch 20, training loss 0.121:  14%|█▎        | 25/182 [00:33<03:33,  1.36s/it]
Epoch 20, training loss 0.121:  14%|█▍        | 26/182 [00:34<03:26,  1.33s/it]
Epoch 20, training loss 0.124:  14%|█▍        | 26/182 [00:35<03:30,  1.35s/it]
Epoch 20, training loss 0.124:  15%|█▍        | 27/182 [00:35<03:24,  1.32s/it]
Epoch 20, training loss 0.122:  15%|█▍        | 27/182 [00:36<03:28,  1.34s/it]
Epoch 20, training loss 0.122:  15%|█▌        | 28/182 [00:36<03:22,  1.31s/it]
Epoch 20, training loss 0.120:  15%|█▌        | 28/182 [00:37<03:25,  1.34s/it]
Epoch 20, training loss 0.120:  16%|█▌        | 29/182 [00:37<03:19,  1.31s/it]
Epoch 20, training loss 0.118:  16%|█▌        | 29/182 [00:38<03:23,  1.33s/it]
Epoch 20, training loss 0.118:  16%|█▋        | 30/182 [00:39<03:17,  1.30s/it]
Epoch 20, training loss 0.115:  16%|█▋        | 30/182 [00:39<03:21,  1.32s/it]
Epoch 20, training loss 0.115:  17%|█▋        | 31/182 [00:40<03:15,  1.30s/it]
Epoch 20, training loss 0.115:  17%|█▋        | 31/182 [00:40<03:18,  1.32s/it]
Epoch 20, training loss 0.115:  18%|█▊        | 32/182 [00:41<03:13,  1.29s/it]
Epoch 20, training loss 0.112:  18%|█▊        | 32/182 [00:41<03:16,  1.31s/it]
Epoch 20, training loss 0.112:  18%|█▊        | 33/182 [00:42<03:11,  1.29s/it]
Epoch 20, training loss 0.115:  18%|█▊        | 33/182 [00:43<03:14,  1.31s/it]
Epoch 20, training loss 0.115:  19%|█▊        | 34/182 [00:43<03:09,  1.28s/it]
Epoch 20, training loss 0.112:  19%|█▊        | 34/182 [00:44<03:12,  1.30s/it]
Epoch 20, training loss 0.112:  19%|█▉        | 35/182 [00:44<03:07,  1.28s/it]
Epoch 20, training loss 0.111:  19%|█▉        | 35/182 [00:45<03:10,  1.30s/it]
Epoch 20, training loss 0.111:  20%|█▉        | 36/182 [00:45<03:06,  1.27s/it]
Epoch 20, training loss 0.111:  20%|█▉        | 36/182 [00:46<03:08,  1.29s/it]
Epoch 20, training loss 0.111:  20%|██        | 37/182 [00:47<03:04,  1.27s/it]
Epoch 20, training loss 0.109:  20%|██        | 37/182 [00:47<03:06,  1.29s/it]
Epoch 20, training loss 0.109:  21%|██        | 38/182 [00:48<03:02,  1.27s/it]
Epoch 20, training loss 0.109:  21%|██        | 38/182 [00:48<03:04,  1.28s/it]
Epoch 20, training loss 0.109:  21%|██▏       | 39/182 [00:49<03:00,  1.26s/it]
Epoch 20, training loss 0.109:  21%|██▏       | 39/182 [00:50<03:03,  1.28s/it]
Epoch 20, training loss 0.109:  22%|██▏       | 40/182 [00:50<02:59,  1.26s/it]
Epoch 20, training loss 0.108:  22%|██▏       | 40/182 [00:51<03:01,  1.28s/it]
Epoch 20, training loss 0.108:  23%|██▎       | 41/182 [00:51<02:57,  1.26s/it]
Epoch 20, training loss 0.108:  23%|██▎       | 41/182 [00:52<03:00,  1.28s/it]
Epoch 20, training loss 0.108:  23%|██▎       | 42/182 [00:52<02:56,  1.26s/it]
Epoch 20, training loss 0.109:  23%|██▎       | 42/182 [00:53<02:58,  1.28s/it]
Epoch 20, training loss 0.109:  24%|██▎       | 43/182 [00:54<02:54,  1.26s/it]
Epoch 20, training loss 0.108:  24%|██▎       | 43/182 [00:54<02:57,  1.27s/it]
Epoch 20, training loss 0.108:  24%|██▍       | 44/182 [00:55<02:53,  1.26s/it]
Epoch 20, training loss 0.109:  24%|██▍       | 44/182 [00:55<02:55,  1.27s/it]
Epoch 20, training loss 0.109:  25%|██▍       | 45/182 [00:56<02:51,  1.25s/it]
Epoch 20, training loss 0.107:  25%|██▍       | 45/182 [00:57<02:53,  1.27s/it]
Epoch 20, training loss 0.107:  25%|██▌       | 46/182 [00:57<02:49,  1.25s/it]
Epoch 20, training loss 0.107:  25%|██▌       | 46/182 [00:58<02:51,  1.26s/it]
Epoch 20, training loss 0.107:  26%|██▌       | 47/182 [00:58<02:48,  1.25s/it]
Epoch 20, training loss 0.105:  26%|██▌       | 47/182 [00:59<02:50,  1.26s/it]
Epoch 20, training loss 0.105:  26%|██▋       | 48/182 [00:59<02:46,  1.24s/it]
Epoch 20, training loss 0.108:  26%|██▋       | 48/182 [01:00<02:48,  1.26s/it]
Epoch 20, training loss 0.108:  27%|██▋       | 49/182 [01:00<02:45,  1.24s/it]
Epoch 20, training loss 0.107:  27%|██▋       | 49/182 [01:01<02:47,  1.26s/it]
Epoch 20, training loss 0.107:  27%|██▋       | 50/182 [01:02<02:43,  1.24s/it]
Epoch 20, training loss 0.107:  27%|██▋       | 50/182 [01:02<02:45,  1.25s/it]
Epoch 20, training loss 0.107:  28%|██▊       | 51/182 [01:03<02:42,  1.24s/it]
Epoch 20, training loss 0.111:  28%|██▊       | 51/182 [01:03<02:43,  1.25s/it]
Epoch 20, training loss 0.111:  29%|██▊       | 52/182 [01:04<02:40,  1.24s/it]
Epoch 20, training loss 0.111:  29%|██▊       | 52/182 [01:04<02:42,  1.25s/it]
Epoch 20, training loss 0.111:  29%|██▉       | 53/182 [01:05<02:39,  1.24s/it]
Epoch 20, training loss 0.110:  29%|██▉       | 53/182 [01:06<02:40,  1.25s/it]
Epoch 20, training loss 0.110:  30%|██▉       | 54/182 [01:06<02:37,  1.23s/it]
Epoch 20, training loss 0.112:  30%|██▉       | 54/182 [01:07<02:39,  1.24s/it]
Epoch 20, training loss 0.112:  30%|███       | 55/182 [01:07<02:36,  1.23s/it]
Epoch 20, training loss 0.112:  30%|███       | 55/182 [01:08<02:37,  1.24s/it]
Epoch 20, training loss 0.112:  31%|███       | 56/182 [01:08<02:34,  1.23s/it]
Epoch 20, training loss 0.115:  31%|███       | 56/182 [01:09<02:36,  1.24s/it]
Epoch 20, training loss 0.115:  31%|███▏      | 57/182 [01:09<02:33,  1.23s/it]
Epoch 20, training loss 0.115:  31%|███▏      | 57/182 [01:10<02:34,  1.24s/it]
Epoch 20, training loss 0.115:  32%|███▏      | 58/182 [01:11<02:31,  1.23s/it]
Epoch 20, training loss 0.116:  32%|███▏      | 58/182 [01:11<02:33,  1.24s/it]
Epoch 20, training loss 0.116:  32%|███▏      | 59/182 [01:12<02:30,  1.23s/it]
Epoch 20, training loss 0.119:  32%|███▏      | 59/182 [01:12<02:32,  1.24s/it]
Epoch 20, training loss 0.119:  33%|███▎      | 60/182 [01:13<02:29,  1.22s/it]
Epoch 20, training loss 0.119:  33%|███▎      | 60/182 [01:14<02:30,  1.24s/it]
Epoch 20, training loss 0.119:  34%|███▎      | 61/182 [01:14<02:28,  1.22s/it]
Epoch 20, training loss 0.118:  34%|███▎      | 61/182 [01:15<02:29,  1.24s/it]
Epoch 20, training loss 0.118:  34%|███▍      | 62/182 [01:15<02:26,  1.22s/it]
Epoch 20, training loss 0.118:  34%|███▍      | 62/182 [01:16<02:27,  1.23s/it]
Epoch 20, training loss 0.118:  35%|███▍      | 63/182 [01:16<02:25,  1.22s/it]
Epoch 20, training loss 0.117:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 20, training loss 0.117:  35%|███▌      | 64/182 [01:18<02:24,  1.22s/it]
Epoch 20, training loss 0.116:  35%|███▌      | 64/182 [01:18<02:25,  1.23s/it]
Epoch 20, training loss 0.116:  36%|███▌      | 65/182 [01:19<02:22,  1.22s/it]
Epoch 20, training loss 0.115:  36%|███▌      | 65/182 [01:19<02:23,  1.23s/it]
Epoch 20, training loss 0.115:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 20, training loss 0.116:  36%|███▋      | 66/182 [01:20<02:22,  1.23s/it]
Epoch 20, training loss 0.116:  37%|███▋      | 67/182 [01:21<02:19,  1.21s/it]
Epoch 20, training loss 0.117:  37%|███▋      | 67/182 [01:22<02:20,  1.22s/it]
Epoch 20, training loss 0.117:  37%|███▋      | 68/182 [01:22<02:18,  1.21s/it]
Epoch 20, training loss 0.116:  37%|███▋      | 68/182 [01:23<02:19,  1.22s/it]
Epoch 20, training loss 0.116:  38%|███▊      | 69/182 [01:23<02:17,  1.21s/it]
Epoch 20, training loss 0.117:  38%|███▊      | 69/182 [01:24<02:18,  1.22s/it]
Epoch 20, training loss 0.117:  38%|███▊      | 70/182 [01:24<02:15,  1.21s/it]
Epoch 20, training loss 0.117:  38%|███▊      | 70/182 [01:25<02:16,  1.22s/it]
Epoch 20, training loss 0.117:  39%|███▉      | 71/182 [01:26<02:14,  1.21s/it]
Epoch 20, training loss 0.118:  39%|███▉      | 71/182 [01:26<02:15,  1.22s/it]
Epoch 20, training loss 0.118:  40%|███▉      | 72/182 [01:27<02:13,  1.21s/it]
Epoch 20, training loss 0.117:  40%|███▉      | 72/182 [01:27<02:14,  1.22s/it]
Epoch 20, training loss 0.117:  40%|████      | 73/182 [01:28<02:11,  1.21s/it]
Epoch 20, training loss 0.116:  40%|████      | 73/182 [01:28<02:12,  1.22s/it]
Epoch 20, training loss 0.116:  41%|████      | 74/182 [01:29<02:10,  1.21s/it]
Epoch 20, training loss 0.117:  41%|████      | 74/182 [01:30<02:11,  1.22s/it]
Epoch 20, training loss 0.117:  41%|████      | 75/182 [01:30<02:09,  1.21s/it]
Epoch 20, training loss 0.116:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 20, training loss 0.116:  42%|████▏     | 76/182 [01:31<02:08,  1.21s/it]
Epoch 20, training loss 0.116:  42%|████▏     | 76/182 [01:32<02:09,  1.22s/it]
Epoch 20, training loss 0.116:  42%|████▏     | 77/182 [01:33<02:06,  1.21s/it]
Epoch 20, training loss 0.117:  42%|████▏     | 77/182 [01:33<02:07,  1.22s/it]
Epoch 20, training loss 0.117:  43%|████▎     | 78/182 [01:34<02:05,  1.21s/it]
Epoch 20, training loss 0.118:  43%|████▎     | 78/182 [01:34<02:06,  1.22s/it]
Epoch 20, training loss 0.118:  43%|████▎     | 79/182 [01:35<02:04,  1.21s/it]
Epoch 20, training loss 0.117:  43%|████▎     | 79/182 [01:35<02:05,  1.21s/it]
Epoch 20, training loss 0.117:  44%|████▍     | 80/182 [01:36<02:02,  1.21s/it]
Epoch 20, training loss 0.117:  44%|████▍     | 80/182 [01:37<02:03,  1.21s/it]
Epoch 20, training loss 0.117:  45%|████▍     | 81/182 [01:37<02:01,  1.20s/it]
Epoch 20, training loss 0.117:  45%|████▍     | 81/182 [01:38<02:02,  1.21s/it]
Epoch 20, training loss 0.117:  45%|████▌     | 82/182 [01:38<02:00,  1.20s/it]
Epoch 20, training loss 0.116:  45%|████▌     | 82/182 [01:39<02:01,  1.21s/it]
Epoch 20, training loss 0.116:  46%|████▌     | 83/182 [01:39<01:59,  1.20s/it]
Epoch 20, training loss 0.117:  46%|████▌     | 83/182 [01:40<01:59,  1.21s/it]
Epoch 20, training loss 0.117:  46%|████▌     | 84/182 [01:41<01:57,  1.20s/it]
Epoch 20, training loss 0.116:  46%|████▌     | 84/182 [01:41<01:58,  1.21s/it]
Epoch 20, training loss 0.116:  47%|████▋     | 85/182 [01:42<01:56,  1.20s/it]
Epoch 20, training loss 0.116:  47%|████▋     | 85/182 [01:42<01:57,  1.21s/it]
Epoch 20, training loss 0.116:  47%|████▋     | 86/182 [01:43<01:55,  1.20s/it]
Epoch 20, training loss 0.116:  47%|████▋     | 86/182 [01:44<01:56,  1.21s/it]
Epoch 20, training loss 0.116:  48%|████▊     | 87/182 [01:44<01:54,  1.20s/it]
Epoch 20, training loss 0.116:  48%|████▊     | 87/182 [01:45<01:54,  1.21s/it]
Epoch 20, training loss 0.116:  48%|████▊     | 88/182 [01:45<01:52,  1.20s/it]
Epoch 20, training loss 0.117:  48%|████▊     | 88/182 [01:46<01:53,  1.21s/it]
Epoch 20, training loss 0.117:  49%|████▉     | 89/182 [01:46<01:51,  1.20s/it]
Epoch 20, training loss 0.116:  49%|████▉     | 89/182 [01:47<01:52,  1.21s/it]
Epoch 20, training loss 0.116:  49%|████▉     | 90/182 [01:47<01:50,  1.20s/it]
Epoch 20, training loss 0.116:  49%|████▉     | 90/182 [01:48<01:51,  1.21s/it]
Epoch 20, training loss 0.116:  50%|█████     | 91/182 [01:49<01:49,  1.20s/it]
Epoch 20, training loss 0.115:  50%|█████     | 91/182 [01:49<01:49,  1.21s/it]
Epoch 20, training loss 0.115:  51%|█████     | 92/182 [01:50<01:47,  1.20s/it]
Epoch 20, training loss 0.115:  51%|█████     | 92/182 [01:50<01:48,  1.21s/it]
Epoch 20, training loss 0.115:  51%|█████     | 93/182 [01:51<01:46,  1.20s/it]
Epoch 20, training loss 0.116:  51%|█████     | 93/182 [01:52<01:47,  1.21s/it]
Epoch 20, training loss 0.116:  52%|█████▏    | 94/182 [01:52<01:45,  1.20s/it]
Epoch 20, training loss 0.116:  52%|█████▏    | 94/182 [01:53<01:46,  1.21s/it]
Epoch 20, training loss 0.116:  52%|█████▏    | 95/182 [01:53<01:44,  1.20s/it]
Epoch 20, training loss 0.116:  52%|█████▏    | 95/182 [01:54<01:44,  1.21s/it]
Epoch 20, training loss 0.116:  53%|█████▎    | 96/182 [01:54<01:43,  1.20s/it]
Epoch 20, training loss 0.115:  53%|█████▎    | 96/182 [01:55<01:43,  1.20s/it]
Epoch 20, training loss 0.115:  53%|█████▎    | 97/182 [01:56<01:41,  1.20s/it]
Epoch 20, training loss 0.115:  53%|█████▎    | 97/182 [01:56<01:42,  1.20s/it]
Epoch 20, training loss 0.115:  54%|█████▍    | 98/182 [01:57<01:40,  1.20s/it]
Epoch 20, training loss 0.115:  54%|█████▍    | 98/182 [01:57<01:41,  1.20s/it]
Epoch 20, training loss 0.115:  54%|█████▍    | 99/182 [01:58<01:39,  1.20s/it]
Epoch 20, training loss 0.115:  54%|█████▍    | 99/182 [01:59<01:39,  1.20s/it]
Epoch 20, training loss 0.115:  55%|█████▍    | 100/182 [01:59<01:38,  1.20s/it]
Epoch 20, training loss 0.115:  55%|█████▍    | 100/182 [02:00<01:38,  1.20s/it]
Epoch 20, training loss 0.115:  55%|█████▌    | 101/182 [02:00<01:36,  1.20s/it]
Epoch 20, training loss 0.114:  55%|█████▌    | 101/182 [02:01<01:37,  1.20s/it]
Epoch 20, training loss 0.114:  56%|█████▌    | 102/182 [02:01<01:35,  1.20s/it]
Epoch 20, training loss 0.113:  56%|█████▌    | 102/182 [02:02<01:36,  1.20s/it]
Epoch 20, training loss 0.113:  57%|█████▋    | 103/182 [02:03<01:34,  1.19s/it]
Epoch 20, training loss 0.118:  57%|█████▋    | 103/182 [02:03<01:34,  1.20s/it]
Epoch 20, training loss 0.118:  57%|█████▋    | 104/182 [02:04<01:33,  1.19s/it]
Epoch 20, training loss 0.117:  57%|█████▋    | 104/182 [02:04<01:33,  1.20s/it]
Epoch 20, training loss 0.117:  58%|█████▊    | 105/182 [02:05<01:31,  1.19s/it]
Epoch 20, training loss 0.118:  58%|█████▊    | 105/182 [02:05<01:32,  1.20s/it]
Epoch 20, training loss 0.118:  58%|█████▊    | 106/182 [02:06<01:30,  1.19s/it]
Epoch 20, training loss 0.117:  58%|█████▊    | 106/182 [02:07<01:31,  1.20s/it]
Epoch 20, training loss 0.117:  59%|█████▉    | 107/182 [02:07<01:29,  1.19s/it]
Epoch 20, training loss 0.116:  59%|█████▉    | 107/182 [02:08<01:29,  1.20s/it]
Epoch 20, training loss 0.116:  59%|█████▉    | 108/182 [02:08<01:28,  1.19s/it]
Epoch 20, training loss 0.116:  59%|█████▉    | 108/182 [02:09<01:28,  1.20s/it]
Epoch 20, training loss 0.116:  60%|█████▉    | 109/182 [02:09<01:26,  1.19s/it]
Epoch 20, training loss 0.117:  60%|█████▉    | 109/182 [02:10<01:27,  1.20s/it]
Epoch 20, training loss 0.117:  60%|██████    | 110/182 [02:10<01:25,  1.19s/it]
Epoch 20, training loss 0.116:  60%|██████    | 110/182 [02:11<01:26,  1.20s/it]
Epoch 20, training loss 0.116:  61%|██████    | 111/182 [02:12<01:24,  1.19s/it]
Epoch 20, training loss 0.115:  61%|██████    | 111/182 [02:12<01:24,  1.20s/it]
Epoch 20, training loss 0.115:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 20, training loss 0.127:  62%|██████▏   | 112/182 [02:13<01:23,  1.20s/it]
Epoch 20, training loss 0.127:  62%|██████▏   | 113/182 [02:14<01:22,  1.19s/it]
Epoch 20, training loss 0.126:  62%|██████▏   | 113/182 [02:14<01:22,  1.19s/it]
Epoch 20, training loss 0.126:  63%|██████▎   | 114/182 [02:15<01:20,  1.19s/it]
Epoch 20, training loss 0.126:  63%|██████▎   | 114/182 [02:16<01:21,  1.19s/it]
Epoch 20, training loss 0.126:  63%|██████▎   | 115/182 [02:16<01:19,  1.19s/it]
Epoch 20, training loss 0.126:  63%|██████▎   | 115/182 [02:17<01:20,  1.19s/it]
Epoch 20, training loss 0.126:  64%|██████▎   | 116/182 [02:17<01:18,  1.19s/it]
Epoch 20, training loss 0.125:  64%|██████▎   | 116/182 [02:18<01:18,  1.19s/it]
Epoch 20, training loss 0.125:  64%|██████▍   | 117/182 [02:18<01:17,  1.19s/it]
Epoch 20, training loss 0.125:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 20, training loss 0.125:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 20, training loss 0.124:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 20, training loss 0.124:  65%|██████▌   | 119/182 [02:21<01:14,  1.19s/it]
Epoch 20, training loss 0.125:  65%|██████▌   | 119/182 [02:21<01:15,  1.19s/it]
Epoch 20, training loss 0.125:  66%|██████▌   | 120/182 [02:22<01:13,  1.19s/it]
Epoch 20, training loss 0.125:  66%|██████▌   | 120/182 [02:23<01:13,  1.19s/it]
Epoch 20, training loss 0.125:  66%|██████▋   | 121/182 [02:23<01:12,  1.19s/it]
Epoch 20, training loss 0.124:  66%|██████▋   | 121/182 [02:24<01:12,  1.19s/it]
Epoch 20, training loss 0.124:  67%|██████▋   | 122/182 [02:24<01:11,  1.19s/it]
Epoch 20, training loss 0.125:  67%|██████▋   | 122/182 [02:25<01:11,  1.19s/it]
Epoch 20, training loss 0.125:  68%|██████▊   | 123/182 [02:25<01:10,  1.19s/it]
Epoch 20, training loss 0.125:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 20, training loss 0.125:  68%|██████▊   | 124/182 [02:27<01:08,  1.19s/it]
Epoch 20, training loss 0.124:  68%|██████▊   | 124/182 [02:27<01:09,  1.19s/it]
Epoch 20, training loss 0.124:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 20, training loss 0.124:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 20, training loss 0.124:  69%|██████▉   | 126/182 [02:29<01:06,  1.19s/it]
Epoch 20, training loss 0.123:  69%|██████▉   | 126/182 [02:30<01:06,  1.19s/it]
Epoch 20, training loss 0.123:  70%|██████▉   | 127/182 [02:30<01:05,  1.19s/it]
Epoch 20, training loss 0.123:  70%|██████▉   | 127/182 [02:31<01:05,  1.19s/it]
Epoch 20, training loss 0.123:  70%|███████   | 128/182 [02:31<01:04,  1.19s/it]
Epoch 20, training loss 0.122:  70%|███████   | 128/182 [02:32<01:04,  1.19s/it]
Epoch 20, training loss 0.122:  71%|███████   | 129/182 [02:32<01:02,  1.18s/it]
Epoch 20, training loss 0.122:  71%|███████   | 129/182 [02:33<01:03,  1.19s/it]
Epoch 20, training loss 0.122:  71%|███████▏  | 130/182 [02:34<01:01,  1.19s/it]
Epoch 20, training loss 0.122:  71%|███████▏  | 130/182 [02:34<01:01,  1.19s/it]
Epoch 20, training loss 0.122:  72%|███████▏  | 131/182 [02:35<01:00,  1.19s/it]
Epoch 20, training loss 0.121:  72%|███████▏  | 131/182 [02:35<01:00,  1.19s/it]
Epoch 20, training loss 0.121:  73%|███████▎  | 132/182 [02:36<00:59,  1.18s/it]
Epoch 20, training loss 0.121:  73%|███████▎  | 132/182 [02:36<00:59,  1.19s/it]
Epoch 20, training loss 0.121:  73%|███████▎  | 133/182 [02:37<00:58,  1.18s/it]
Epoch 20, training loss 0.120:  73%|███████▎  | 133/182 [02:38<00:58,  1.19s/it]
Epoch 20, training loss 0.120:  74%|███████▎  | 134/182 [02:38<00:56,  1.18s/it]
Epoch 20, training loss 0.121:  74%|███████▎  | 134/182 [02:39<00:57,  1.19s/it]
Epoch 20, training loss 0.121:  74%|███████▍  | 135/182 [02:39<00:55,  1.18s/it]
Epoch 20, training loss 0.122:  74%|███████▍  | 135/182 [02:40<00:55,  1.19s/it]
Epoch 20, training loss 0.122:  75%|███████▍  | 136/182 [02:40<00:54,  1.18s/it]
Epoch 20, training loss 0.122:  75%|███████▍  | 136/182 [02:41<00:54,  1.19s/it]
Epoch 20, training loss 0.122:  75%|███████▌  | 137/182 [02:42<00:53,  1.18s/it]
Epoch 20, training loss 0.121:  75%|███████▌  | 137/182 [02:42<00:53,  1.19s/it]
Epoch 20, training loss 0.121:  76%|███████▌  | 138/182 [02:43<00:52,  1.18s/it]
Epoch 20, training loss 0.120:  76%|███████▌  | 138/182 [02:44<00:52,  1.19s/it]
Epoch 20, training loss 0.120:  76%|███████▋  | 139/182 [02:44<00:50,  1.18s/it]
Epoch 20, training loss 0.121:  76%|███████▋  | 139/182 [02:45<00:51,  1.19s/it]
Epoch 20, training loss 0.121:  77%|███████▋  | 140/182 [02:45<00:49,  1.18s/it]
Epoch 20, training loss 0.120:  77%|███████▋  | 140/182 [02:46<00:49,  1.19s/it]
Epoch 20, training loss 0.120:  77%|███████▋  | 141/182 [02:46<00:48,  1.18s/it]
Epoch 20, training loss 0.122:  77%|███████▋  | 141/182 [02:47<00:48,  1.19s/it]
Epoch 20, training loss 0.122:  78%|███████▊  | 142/182 [02:47<00:47,  1.18s/it]
Epoch 20, training loss 0.122:  78%|███████▊  | 142/182 [02:48<00:47,  1.19s/it]
Epoch 20, training loss 0.122:  79%|███████▊  | 143/182 [02:49<00:46,  1.18s/it]
Epoch 20, training loss 0.122:  79%|███████▊  | 143/182 [02:49<00:46,  1.19s/it]
Epoch 20, training loss 0.122:  79%|███████▉  | 144/182 [02:50<00:44,  1.18s/it]
Epoch 20, training loss 0.121:  79%|███████▉  | 144/182 [02:50<00:45,  1.19s/it]
Epoch 20, training loss 0.121:  80%|███████▉  | 145/182 [02:51<00:43,  1.18s/it]
Epoch 20, training loss 0.121:  80%|███████▉  | 145/182 [02:52<00:43,  1.19s/it]
Epoch 20, training loss 0.121:  80%|████████  | 146/182 [02:52<00:42,  1.18s/it]
Epoch 20, training loss 0.120:  80%|████████  | 146/182 [02:53<00:42,  1.19s/it]
Epoch 20, training loss 0.120:  81%|████████  | 147/182 [02:53<00:41,  1.18s/it]
Epoch 20, training loss 0.121:  81%|████████  | 147/182 [02:54<00:41,  1.19s/it]
Epoch 20, training loss 0.121:  81%|████████▏ | 148/182 [02:54<00:40,  1.18s/it]
Epoch 20, training loss 0.121:  81%|████████▏ | 148/182 [02:55<00:40,  1.18s/it]
Epoch 20, training loss 0.121:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 20, training loss 0.120:  82%|████████▏ | 149/182 [02:56<00:39,  1.18s/it]
Epoch 20, training loss 0.120:  82%|████████▏ | 150/182 [02:57<00:37,  1.18s/it]
Epoch 20, training loss 0.120:  82%|████████▏ | 150/182 [02:57<00:37,  1.18s/it]
Epoch 20, training loss 0.120:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 20, training loss 0.122:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 20, training loss 0.122:  84%|████████▎ | 152/182 [02:59<00:35,  1.18s/it]
Epoch 20, training loss 0.122:  84%|████████▎ | 152/182 [03:00<00:35,  1.19s/it]
Epoch 20, training loss 0.122:  84%|████████▍ | 153/182 [03:00<00:34,  1.18s/it]
Epoch 20, training loss 0.122:  84%|████████▍ | 153/182 [03:01<00:34,  1.19s/it]
Epoch 20, training loss 0.122:  85%|████████▍ | 154/182 [03:01<00:33,  1.18s/it]
Epoch 20, training loss 0.122:  85%|████████▍ | 154/182 [03:02<00:33,  1.19s/it]
Epoch 20, training loss 0.122:  85%|████████▌ | 155/182 [03:03<00:31,  1.18s/it]
Epoch 20, training loss 0.121:  85%|████████▌ | 155/182 [03:03<00:31,  1.18s/it]
Epoch 20, training loss 0.121:  86%|████████▌ | 156/182 [03:04<00:30,  1.18s/it]
Epoch 20, training loss 0.122:  86%|████████▌ | 156/182 [03:04<00:30,  1.18s/it]
Epoch 20, training loss 0.122:  86%|████████▋ | 157/182 [03:05<00:29,  1.18s/it]
Epoch 20, training loss 0.122:  86%|████████▋ | 157/182 [03:05<00:29,  1.18s/it]
Epoch 20, training loss 0.122:  87%|████████▋ | 158/182 [03:06<00:28,  1.18s/it]
Epoch 20, training loss 0.121:  87%|████████▋ | 158/182 [03:06<00:28,  1.18s/it]
Epoch 20, training loss 0.121:  87%|████████▋ | 159/182 [03:07<00:27,  1.18s/it]
Epoch 20, training loss 0.121:  87%|████████▋ | 159/182 [03:08<00:27,  1.18s/it]
Epoch 20, training loss 0.121:  88%|████████▊ | 160/182 [03:08<00:25,  1.18s/it]
Epoch 20, training loss 0.122:  88%|████████▊ | 160/182 [03:09<00:26,  1.18s/it]
Epoch 20, training loss 0.122:  88%|████████▊ | 161/182 [03:09<00:24,  1.18s/it]
Epoch 20, training loss 0.122:  88%|████████▊ | 161/182 [03:10<00:24,  1.18s/it]
Epoch 20, training loss 0.122:  89%|████████▉ | 162/182 [03:10<00:23,  1.18s/it]
Epoch 20, training loss 0.121:  89%|████████▉ | 162/182 [03:11<00:23,  1.18s/it]
Epoch 20, training loss 0.121:  90%|████████▉ | 163/182 [03:12<00:22,  1.18s/it]
Epoch 20, training loss 0.121:  90%|████████▉ | 163/182 [03:12<00:22,  1.18s/it]
Epoch 20, training loss 0.121:  90%|█████████ | 164/182 [03:13<00:21,  1.18s/it]
Epoch 20, training loss 0.122:  90%|█████████ | 164/182 [03:13<00:21,  1.18s/it]
Epoch 20, training loss 0.122:  91%|█████████ | 165/182 [03:14<00:20,  1.18s/it]
Epoch 20, training loss 0.122:  91%|█████████ | 165/182 [03:15<00:20,  1.18s/it]
Epoch 20, training loss 0.122:  91%|█████████ | 166/182 [03:15<00:18,  1.18s/it]
Epoch 20, training loss 0.122:  91%|█████████ | 166/182 [03:16<00:18,  1.18s/it]
Epoch 20, training loss 0.122:  92%|█████████▏| 167/182 [03:16<00:17,  1.18s/it]
Epoch 20, training loss 0.122:  92%|█████████▏| 167/182 [03:17<00:17,  1.18s/it]
Epoch 20, training loss 0.122:  92%|█████████▏| 168/182 [03:18<00:16,  1.18s/it]
Epoch 20, training loss 0.122:  92%|█████████▏| 168/182 [03:18<00:16,  1.18s/it]
Epoch 20, training loss 0.122:  93%|█████████▎| 169/182 [03:19<00:15,  1.18s/it]
Epoch 20, training loss 0.123:  93%|█████████▎| 169/182 [03:19<00:15,  1.18s/it]
Epoch 20, training loss 0.123:  93%|█████████▎| 170/182 [03:20<00:14,  1.18s/it]
Epoch 20, training loss 0.122:  93%|█████████▎| 170/182 [03:20<00:14,  1.18s/it]
Epoch 20, training loss 0.122:  94%|█████████▍| 171/182 [03:21<00:12,  1.18s/it]
Epoch 20, training loss 0.122:  94%|█████████▍| 171/182 [03:21<00:12,  1.18s/it]
Epoch 20, training loss 0.122:  95%|█████████▍| 172/182 [03:22<00:11,  1.18s/it]
Epoch 20, training loss 0.121:  95%|█████████▍| 172/182 [03:23<00:11,  1.18s/it]
Epoch 20, training loss 0.121:  95%|█████████▌| 173/182 [03:23<00:10,  1.18s/it]
Epoch 20, training loss 0.121:  95%|█████████▌| 173/182 [03:24<00:10,  1.18s/it]
Epoch 20, training loss 0.121:  96%|█████████▌| 174/182 [03:24<00:09,  1.18s/it]
Epoch 20, training loss 0.121:  96%|█████████▌| 174/182 [03:25<00:09,  1.18s/it]
Epoch 20, training loss 0.121:  96%|█████████▌| 175/182 [03:25<00:08,  1.18s/it]
Epoch 20, training loss 0.121:  96%|█████████▌| 175/182 [03:26<00:08,  1.18s/it]
Epoch 20, training loss 0.121:  97%|█████████▋| 176/182 [03:27<00:07,  1.18s/it]
Epoch 20, training loss 0.121:  97%|█████████▋| 176/182 [03:27<00:07,  1.18s/it]
Epoch 20, training loss 0.121:  97%|█████████▋| 177/182 [03:28<00:05,  1.18s/it]
Epoch 20, training loss 0.120:  97%|█████████▋| 177/182 [03:28<00:05,  1.18s/it]
Epoch 20, training loss 0.120:  98%|█████████▊| 178/182 [03:29<00:04,  1.18s/it]
Epoch 20, training loss 0.120:  98%|█████████▊| 178/182 [03:30<00:04,  1.18s/it]
Epoch 20, training loss 0.120:  98%|█████████▊| 179/182 [03:30<00:03,  1.18s/it]
Epoch 20, training loss 0.120:  98%|█████████▊| 179/182 [03:31<00:03,  1.18s/it]
Epoch 20, training loss 0.120:  99%|█████████▉| 180/182 [03:31<00:02,  1.18s/it]
Epoch 20, training loss 0.120:  99%|█████████▉| 180/182 [03:32<00:02,  1.18s/it]
Epoch 20, training loss 0.120:  99%|█████████▉| 181/182 [03:32<00:01,  1.18s/it]
Epoch 20, training loss 0.120:  99%|█████████▉| 181/182 [03:33<00:01,  1.18s/it]
Epoch 20, training loss 0.120: 100%|██████████| 182/182 [03:34<00:00,  1.18s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.589:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.589:   1%|          | 1/90 [00:04<06:29,  4.38s/it]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.724:   1%|          | 1/90 [00:04<07:10,  4.83s/it]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.724:   2%|▏         | 2/90 [00:04<03:32,  2.42s/it]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.785:   2%|▏         | 2/90 [00:05<03:50,  2.62s/it]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.785:   3%|▎         | 3/90 [00:05<02:32,  1.75s/it]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.837:   3%|▎         | 3/90 [00:05<02:44,  1.89s/it]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.837:   4%|▍         | 4/90 [00:05<02:02,  1.42s/it]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.901:   4%|▍         | 4/90 [00:06<02:12,  1.54s/it]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.901:   6%|▌         | 5/90 [00:06<01:44,  1.23s/it]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.900:   6%|▌         | 5/90 [00:06<01:52,  1.32s/it]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.900:   7%|▋         | 6/90 [00:06<01:32,  1.10s/it]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.892:   7%|▋         | 6/90 [00:07<01:38,  1.17s/it]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.892:   8%|▊         | 7/90 [00:07<01:23,  1.01s/it]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.892:   8%|▊         | 7/90 [00:07<01:28,  1.07s/it]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.892:   9%|▉         | 8/90 [00:07<01:16,  1.07it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.895:   9%|▉         | 8/90 [00:07<01:21,  1.01it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.895:  10%|█         | 9/90 [00:07<01:11,  1.14it/s]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.903:  10%|█         | 9/90 [00:08<01:15,  1.08it/s]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.903:  11%|█         | 10/90 [00:08<01:06,  1.20it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.901:  11%|█         | 10/90 [00:08<01:10,  1.14it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.901:  12%|█▏        | 11/90 [00:08<01:03,  1.25it/s]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.898:  12%|█▏        | 11/90 [00:09<01:06,  1.19it/s]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.898:  13%|█▎        | 12/90 [00:09<01:00,  1.30it/s]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.901:  13%|█▎        | 12/90 [00:09<01:03,  1.24it/s]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.901:  14%|█▍        | 13/90 [00:09<00:57,  1.34it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.908:  14%|█▍        | 13/90 [00:10<01:00,  1.28it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.908:  16%|█▌        | 14/90 [00:10<00:55,  1.38it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.906:  16%|█▌        | 14/90 [00:10<00:57,  1.33it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.906:  17%|█▋        | 15/90 [00:10<00:52,  1.42it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.912:  17%|█▋        | 15/90 [00:11<00:55,  1.36it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.912:  18%|█▊        | 16/90 [00:11<00:50,  1.45it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.911:  18%|█▊        | 16/90 [00:11<00:53,  1.39it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.911:  19%|█▉        | 17/90 [00:11<00:49,  1.48it/s]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.908:  19%|█▉        | 17/90 [00:11<00:51,  1.43it/s]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.908:  20%|██        | 18/90 [00:11<00:47,  1.51it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.901:  20%|██        | 18/90 [00:12<00:49,  1.46it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.901:  21%|██        | 19/90 [00:12<00:46,  1.54it/s]
Epoch 20, validation pixAcc: 0.976, mIoU: 0.899:  21%|██        | 19/90 [00:12<00:47,  1.49it/s]
Epoch 20, validation pixAcc: 0.976, mIoU: 0.899:  22%|██▏       | 20/90 [00:12<00:44,  1.57it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.900:  22%|██▏       | 20/90 [00:13<00:46,  1.52it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.900:  23%|██▎       | 21/90 [00:13<00:43,  1.59it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.900:  23%|██▎       | 21/90 [00:13<00:44,  1.54it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.900:  24%|██▍       | 22/90 [00:13<00:42,  1.61it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.902:  24%|██▍       | 22/90 [00:14<00:43,  1.56it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.902:  26%|██▌       | 23/90 [00:14<00:41,  1.63it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.902:  26%|██▌       | 23/90 [00:14<00:42,  1.58it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.902:  27%|██▋       | 24/90 [00:14<00:40,  1.65it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.903:  27%|██▋       | 24/90 [00:14<00:41,  1.60it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.903:  28%|██▊       | 25/90 [00:14<00:38,  1.67it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.902:  28%|██▊       | 25/90 [00:15<00:40,  1.62it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.902:  29%|██▉       | 26/90 [00:15<00:37,  1.69it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.906:  29%|██▉       | 26/90 [00:15<00:38,  1.65it/s]
Epoch 20, validation pixAcc: 0.977, mIoU: 0.906:  30%|███       | 27/90 [00:15<00:36,  1.71it/s]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.907:  30%|███       | 27/90 [00:16<00:37,  1.66it/s]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.907:  31%|███       | 28/90 [00:16<00:35,  1.72it/s]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.907:  31%|███       | 28/90 [00:16<00:36,  1.68it/s]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.907:  32%|███▏      | 29/90 [00:16<00:35,  1.74it/s]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.908:  32%|███▏      | 29/90 [00:17<00:36,  1.69it/s]
Epoch 20, validation pixAcc: 0.978, mIoU: 0.908:  33%|███▎      | 30/90 [00:17<00:34,  1.75it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.909:  33%|███▎      | 30/90 [00:17<00:35,  1.71it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.909:  34%|███▍      | 31/90 [00:17<00:33,  1.77it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.910:  34%|███▍      | 31/90 [00:17<00:34,  1.73it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.910:  36%|███▌      | 32/90 [00:17<00:32,  1.78it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.912:  36%|███▌      | 32/90 [00:18<00:33,  1.74it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.912:  37%|███▋      | 33/90 [00:18<00:31,  1.80it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.913:  37%|███▋      | 33/90 [00:18<00:32,  1.76it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.913:  38%|███▊      | 34/90 [00:18<00:30,  1.81it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.912:  38%|███▊      | 34/90 [00:19<00:31,  1.77it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.912:  39%|███▉      | 35/90 [00:19<00:30,  1.82it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.913:  39%|███▉      | 35/90 [00:19<00:30,  1.79it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.913:  40%|████      | 36/90 [00:19<00:29,  1.84it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.913:  40%|████      | 36/90 [00:20<00:30,  1.80it/s]
Epoch 20, validation pixAcc: 0.979, mIoU: 0.913:  41%|████      | 37/90 [00:20<00:28,  1.85it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.913:  41%|████      | 37/90 [00:20<00:29,  1.81it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.913:  42%|████▏     | 38/90 [00:20<00:27,  1.86it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.913:  42%|████▏     | 38/90 [00:20<00:28,  1.82it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.913:  43%|████▎     | 39/90 [00:20<00:27,  1.87it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.915:  43%|████▎     | 39/90 [00:21<00:27,  1.83it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.915:  44%|████▍     | 40/90 [00:21<00:26,  1.88it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.914:  44%|████▍     | 40/90 [00:21<00:27,  1.84it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.914:  46%|████▌     | 41/90 [00:21<00:25,  1.89it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.914:  46%|████▌     | 41/90 [00:22<00:26,  1.85it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.914:  47%|████▋     | 42/90 [00:22<00:25,  1.89it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.915:  47%|████▋     | 42/90 [00:22<00:25,  1.85it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.915:  48%|████▊     | 43/90 [00:22<00:24,  1.90it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.916:  48%|████▊     | 43/90 [00:23<00:25,  1.86it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.916:  49%|████▉     | 44/90 [00:23<00:24,  1.90it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.916:  49%|████▉     | 44/90 [00:23<00:24,  1.87it/s]
Epoch 20, validation pixAcc: 0.980, mIoU: 0.916:  50%|█████     | 45/90 [00:23<00:23,  1.91it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.916:  50%|█████     | 45/90 [00:23<00:23,  1.88it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.916:  51%|█████     | 46/90 [00:23<00:22,  1.92it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.917:  51%|█████     | 46/90 [00:24<00:23,  1.89it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.917:  52%|█████▏    | 47/90 [00:24<00:22,  1.93it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.916:  52%|█████▏    | 47/90 [00:24<00:22,  1.89it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.916:  53%|█████▎    | 48/90 [00:24<00:21,  1.93it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.916:  53%|█████▎    | 48/90 [00:25<00:22,  1.90it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.916:  54%|█████▍    | 49/90 [00:25<00:21,  1.94it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.916:  54%|█████▍    | 49/90 [00:25<00:21,  1.91it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.916:  56%|█████▌    | 50/90 [00:25<00:20,  1.94it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.917:  56%|█████▌    | 50/90 [00:26<00:20,  1.91it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.917:  57%|█████▋    | 51/90 [00:26<00:20,  1.95it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.917:  57%|█████▋    | 51/90 [00:26<00:20,  1.92it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.917:  58%|█████▊    | 52/90 [00:26<00:19,  1.95it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.916:  58%|█████▊    | 52/90 [00:27<00:19,  1.92it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.916:  59%|█████▉    | 53/90 [00:27<00:18,  1.96it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.916:  59%|█████▉    | 53/90 [00:27<00:19,  1.93it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.916:  60%|██████    | 54/90 [00:27<00:18,  1.96it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.916:  60%|██████    | 54/90 [00:27<00:18,  1.94it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.916:  61%|██████    | 55/90 [00:27<00:17,  1.97it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.917:  61%|██████    | 55/90 [00:28<00:18,  1.94it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.917:  62%|██████▏   | 56/90 [00:28<00:17,  1.98it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.917:  62%|██████▏   | 56/90 [00:28<00:17,  1.95it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.917:  63%|██████▎   | 57/90 [00:28<00:16,  1.98it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.917:  63%|██████▎   | 57/90 [00:29<00:16,  1.95it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.917:  64%|██████▍   | 58/90 [00:29<00:16,  1.99it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.917:  64%|██████▍   | 58/90 [00:29<00:16,  1.96it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.917:  66%|██████▌   | 59/90 [00:29<00:15,  1.99it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.917:  66%|██████▌   | 59/90 [00:30<00:15,  1.96it/s]
Epoch 20, validation pixAcc: 0.981, mIoU: 0.917:  67%|██████▋   | 60/90 [00:30<00:15,  1.99it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.918:  67%|██████▋   | 60/90 [00:30<00:15,  1.97it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.918:  68%|██████▊   | 61/90 [00:30<00:14,  2.00it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.918:  68%|██████▊   | 61/90 [00:30<00:14,  1.97it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.918:  69%|██████▉   | 62/90 [00:30<00:13,  2.00it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.918:  69%|██████▉   | 62/90 [00:31<00:14,  1.98it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.918:  70%|███████   | 63/90 [00:31<00:13,  2.01it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.919:  70%|███████   | 63/90 [00:31<00:13,  1.98it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.919:  71%|███████   | 64/90 [00:31<00:12,  2.02it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.919:  71%|███████   | 64/90 [00:32<00:13,  1.99it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.919:  72%|███████▏  | 65/90 [00:32<00:12,  2.02it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.920:  72%|███████▏  | 65/90 [00:32<00:12,  1.99it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.920:  73%|███████▎  | 66/90 [00:32<00:11,  2.02it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.920:  73%|███████▎  | 66/90 [00:33<00:12,  2.00it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.920:  74%|███████▍  | 67/90 [00:33<00:11,  2.03it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.919:  74%|███████▍  | 67/90 [00:33<00:11,  2.00it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.919:  76%|███████▌  | 68/90 [00:33<00:10,  2.03it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.920:  76%|███████▌  | 68/90 [00:33<00:10,  2.01it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.920:  77%|███████▋  | 69/90 [00:33<00:10,  2.03it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.920:  77%|███████▋  | 69/90 [00:34<00:10,  2.01it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.920:  78%|███████▊  | 70/90 [00:34<00:09,  2.04it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.920:  78%|███████▊  | 70/90 [00:34<00:09,  2.01it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.920:  79%|███████▉  | 71/90 [00:34<00:09,  2.04it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.921:  79%|███████▉  | 71/90 [00:35<00:09,  2.02it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.921:  80%|████████  | 72/90 [00:35<00:08,  2.04it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.921:  80%|████████  | 72/90 [00:35<00:08,  2.02it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.921:  81%|████████  | 73/90 [00:35<00:08,  2.05it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.921:  81%|████████  | 73/90 [00:36<00:08,  2.03it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.921:  82%|████████▏ | 74/90 [00:36<00:07,  2.05it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.921:  82%|████████▏ | 74/90 [00:36<00:07,  2.03it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.921:  83%|████████▎ | 75/90 [00:36<00:07,  2.06it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.921:  83%|████████▎ | 75/90 [00:36<00:07,  2.03it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.921:  84%|████████▍ | 76/90 [00:36<00:06,  2.06it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.921:  84%|████████▍ | 76/90 [00:37<00:06,  2.04it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.921:  86%|████████▌ | 77/90 [00:37<00:06,  2.06it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.921:  86%|████████▌ | 77/90 [00:37<00:06,  2.04it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.921:  87%|████████▋ | 78/90 [00:37<00:05,  2.06it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.922:  87%|████████▋ | 78/90 [00:38<00:05,  2.04it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.922:  88%|████████▊ | 79/90 [00:38<00:05,  2.07it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.922:  88%|████████▊ | 79/90 [00:38<00:05,  2.04it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.922:  89%|████████▉ | 80/90 [00:38<00:04,  2.07it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.922:  89%|████████▉ | 80/90 [00:39<00:04,  2.05it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.922:  90%|█████████ | 81/90 [00:39<00:04,  2.07it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  90%|█████████ | 81/90 [00:39<00:04,  2.05it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  91%|█████████ | 82/90 [00:39<00:03,  2.08it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  91%|█████████ | 82/90 [00:39<00:03,  2.05it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  92%|█████████▏| 83/90 [00:39<00:03,  2.08it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  92%|█████████▏| 83/90 [00:40<00:03,  2.06it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  93%|█████████▎| 84/90 [00:40<00:02,  2.08it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  93%|█████████▎| 84/90 [00:40<00:02,  2.06it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  94%|█████████▍| 85/90 [00:40<00:02,  2.09it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  94%|█████████▍| 85/90 [00:41<00:02,  2.06it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  96%|█████████▌| 86/90 [00:41<00:01,  2.09it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  96%|█████████▌| 86/90 [00:41<00:01,  2.07it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  97%|█████████▋| 87/90 [00:41<00:01,  2.09it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  97%|█████████▋| 87/90 [00:41<00:01,  2.07it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  98%|█████████▊| 88/90 [00:41<00:00,  2.10it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  98%|█████████▊| 88/90 [00:42<00:00,  2.07it/s]
Epoch 20, validation pixAcc: 0.983, mIoU: 0.923:  99%|█████████▉| 89/90 [00:42<00:00,  2.10it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.923:  99%|█████████▉| 89/90 [00:42<00:00,  2.08it/s]
Epoch 20, validation pixAcc: 0.982, mIoU: 0.923: 100%|██████████| 90/90 [00:42<00:00,  2.10it/s]

  0%|          | 0/182 [00:00<?, ?it/s]
Epoch 21, training loss 0.317:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 21, training loss 0.317:   1%|          | 1/182 [00:05<16:13,  5.38s/it]
Epoch 21, training loss 0.176:   1%|          | 1/182 [00:06<18:23,  6.10s/it]
Epoch 21, training loss 0.176:   1%|          | 2/182 [00:06<09:54,  3.30s/it]
Epoch 21, training loss 0.143:   1%|          | 2/182 [00:07<10:53,  3.63s/it]
Epoch 21, training loss 0.143:   2%|▏         | 3/182 [00:07<07:43,  2.59s/it]
Epoch 21, training loss 0.128:   2%|▏         | 3/182 [00:08<08:21,  2.80s/it]
Epoch 21, training loss 0.128:   2%|▏         | 4/182 [00:08<06:36,  2.23s/it]
Epoch 21, training loss 0.127:   2%|▏         | 4/182 [00:09<07:07,  2.40s/it]
Epoch 21, training loss 0.127:   3%|▎         | 5/182 [00:10<05:58,  2.03s/it]
Epoch 21, training loss 0.113:   3%|▎         | 5/182 [00:10<06:22,  2.16s/it]
Epoch 21, training loss 0.113:   3%|▎         | 6/182 [00:11<05:31,  1.88s/it]
Epoch 21, training loss 0.103:   3%|▎         | 6/182 [00:11<05:51,  2.00s/it]
Epoch 21, training loss 0.103:   4%|▍         | 7/182 [00:12<05:12,  1.79s/it]
Epoch 21, training loss 0.101:   4%|▍         | 7/182 [00:13<05:30,  1.89s/it]
Epoch 21, training loss 0.101:   4%|▍         | 8/182 [00:13<04:58,  1.72s/it]
Epoch 21, training loss 0.106:   4%|▍         | 8/182 [00:14<05:12,  1.80s/it]
Epoch 21, training loss 0.106:   5%|▍         | 9/182 [00:14<04:46,  1.65s/it]
Epoch 21, training loss 0.111:   5%|▍         | 9/182 [00:15<04:59,  1.73s/it]
Epoch 21, training loss 0.111:   5%|▌         | 10/182 [00:16<04:36,  1.61s/it]
Epoch 21, training loss 0.107:   5%|▌         | 10/182 [00:16<04:49,  1.68s/it]
Epoch 21, training loss 0.107:   6%|▌         | 11/182 [00:17<04:29,  1.58s/it]
Epoch 21, training loss 0.111:   6%|▌         | 11/182 [00:18<04:40,  1.64s/it]
Epoch 21, training loss 0.111:   7%|▋         | 12/182 [00:18<04:22,  1.54s/it]
Epoch 21, training loss 0.109:   7%|▋         | 12/182 [00:19<04:31,  1.59s/it]
Epoch 21, training loss 0.109:   7%|▋         | 13/182 [00:19<04:15,  1.51s/it]
Epoch 21, training loss 0.103:   7%|▋         | 13/182 [00:20<04:23,  1.56s/it]
Epoch 21, training loss 0.103:   8%|▊         | 14/182 [00:20<04:08,  1.48s/it]
Epoch 21, training loss 0.107:   8%|▊         | 14/182 [00:21<04:16,  1.53s/it]
Epoch 21, training loss 0.107:   8%|▊         | 15/182 [00:21<04:03,  1.46s/it]
Epoch 21, training loss 0.116:   8%|▊         | 15/182 [00:22<04:10,  1.50s/it]
Epoch 21, training loss 0.116:   9%|▉         | 16/182 [00:23<03:58,  1.44s/it]
Epoch 21, training loss 0.112:   9%|▉         | 16/182 [00:23<04:05,  1.48s/it]
Epoch 21, training loss 0.112:   9%|▉         | 17/182 [00:24<03:54,  1.42s/it]
Epoch 21, training loss 0.109:   9%|▉         | 17/182 [00:24<04:00,  1.46s/it]
Epoch 21, training loss 0.109:  10%|▉         | 18/182 [00:25<03:50,  1.40s/it]
Epoch 21, training loss 0.110:  10%|▉         | 18/182 [00:25<03:55,  1.44s/it]
Epoch 21, training loss 0.110:  10%|█         | 19/182 [00:26<03:46,  1.39s/it]
Epoch 21, training loss 0.111:  10%|█         | 19/182 [00:27<03:51,  1.42s/it]
Epoch 21, training loss 0.111:  11%|█         | 20/182 [00:27<03:43,  1.38s/it]
Epoch 21, training loss 0.112:  11%|█         | 20/182 [00:28<03:49,  1.41s/it]
Epoch 21, training loss 0.112:  12%|█▏        | 21/182 [00:28<03:40,  1.37s/it]
Epoch 21, training loss 0.111:  12%|█▏        | 21/182 [00:29<03:45,  1.40s/it]
Epoch 21, training loss 0.111:  12%|█▏        | 22/182 [00:29<03:37,  1.36s/it]
Epoch 21, training loss 0.110:  12%|█▏        | 22/182 [00:30<03:42,  1.39s/it]
Epoch 21, training loss 0.110:  13%|█▎        | 23/182 [00:31<03:34,  1.35s/it]
Epoch 21, training loss 0.123:  13%|█▎        | 23/182 [00:31<03:38,  1.38s/it]
Epoch 21, training loss 0.123:  13%|█▎        | 24/182 [00:32<03:31,  1.34s/it]
Epoch 21, training loss 0.121:  13%|█▎        | 24/182 [00:32<03:35,  1.37s/it]
Epoch 21, training loss 0.121:  14%|█▎        | 25/182 [00:33<03:29,  1.33s/it]
Epoch 21, training loss 0.117:  14%|█▎        | 25/182 [00:34<03:33,  1.36s/it]
Epoch 21, training loss 0.117:  14%|█▍        | 26/182 [00:34<03:26,  1.33s/it]
Epoch 21, training loss 0.115:  14%|█▍        | 26/182 [00:35<03:30,  1.35s/it]
Epoch 21, training loss 0.115:  15%|█▍        | 27/182 [00:35<03:24,  1.32s/it]
Epoch 21, training loss 0.117:  15%|█▍        | 27/182 [00:36<03:27,  1.34s/it]
Epoch 21, training loss 0.117:  15%|█▌        | 28/182 [00:36<03:21,  1.31s/it]
Epoch 21, training loss 0.113:  15%|█▌        | 28/182 [00:37<03:25,  1.33s/it]
Epoch 21, training loss 0.113:  16%|█▌        | 29/182 [00:37<03:19,  1.31s/it]
Epoch 21, training loss 0.113:  16%|█▌        | 29/182 [00:38<03:22,  1.33s/it]
Epoch 21, training loss 0.113:  16%|█▋        | 30/182 [00:38<03:17,  1.30s/it]
Epoch 21, training loss 0.119:  16%|█▋        | 30/182 [00:39<03:21,  1.32s/it]
Epoch 21, training loss 0.119:  17%|█▋        | 31/182 [00:40<03:15,  1.30s/it]
Epoch 21, training loss 0.116:  17%|█▋        | 31/182 [00:40<03:19,  1.32s/it]
Epoch 21, training loss 0.116:  18%|█▊        | 32/182 [00:41<03:13,  1.29s/it]
Epoch 21, training loss 0.117:  18%|█▊        | 32/182 [00:41<03:16,  1.31s/it]
Epoch 21, training loss 0.117:  18%|█▊        | 33/182 [00:42<03:11,  1.29s/it]
Epoch 21, training loss 0.114:  18%|█▊        | 33/182 [00:43<03:14,  1.31s/it]
Epoch 21, training loss 0.114:  19%|█▊        | 34/182 [00:43<03:09,  1.28s/it]
Epoch 21, training loss 0.112:  19%|█▊        | 34/182 [00:44<03:12,  1.30s/it]
Epoch 21, training loss 0.112:  19%|█▉        | 35/182 [00:44<03:08,  1.28s/it]
Epoch 21, training loss 0.110:  19%|█▉        | 35/182 [00:45<03:11,  1.30s/it]
Epoch 21, training loss 0.110:  20%|█▉        | 36/182 [00:46<03:06,  1.28s/it]
Epoch 21, training loss 0.110:  20%|█▉        | 36/182 [00:46<03:09,  1.30s/it]
Epoch 21, training loss 0.110:  20%|██        | 37/182 [00:47<03:04,  1.28s/it]
Epoch 21, training loss 0.108:  20%|██        | 37/182 [00:47<03:07,  1.29s/it]
Epoch 21, training loss 0.108:  21%|██        | 38/182 [00:48<03:03,  1.27s/it]
Epoch 21, training loss 0.108:  21%|██        | 38/182 [00:48<03:05,  1.29s/it]
Epoch 21, training loss 0.108:  21%|██▏       | 39/182 [00:49<03:01,  1.27s/it]
Epoch 21, training loss 0.111:  21%|██▏       | 39/182 [00:50<03:03,  1.28s/it]
Epoch 21, training loss 0.111:  22%|██▏       | 40/182 [00:50<02:59,  1.26s/it]
Epoch 21, training loss 0.110:  22%|██▏       | 40/182 [00:51<03:01,  1.28s/it]
Epoch 21, training loss 0.110:  23%|██▎       | 41/182 [00:51<02:57,  1.26s/it]
Epoch 21, training loss 0.110:  23%|██▎       | 41/182 [00:52<03:00,  1.28s/it]
Epoch 21, training loss 0.110:  23%|██▎       | 42/182 [00:52<02:56,  1.26s/it]
Epoch 21, training loss 0.111:  23%|██▎       | 42/182 [00:53<02:58,  1.28s/it]
Epoch 21, training loss 0.111:  24%|██▎       | 43/182 [00:54<02:54,  1.26s/it]
Epoch 21, training loss 0.110:  24%|██▎       | 43/182 [00:54<02:57,  1.27s/it]
Epoch 21, training loss 0.110:  24%|██▍       | 44/182 [00:55<02:53,  1.26s/it]
Epoch 21, training loss 0.109:  24%|██▍       | 44/182 [00:55<02:55,  1.27s/it]
Epoch 21, training loss 0.109:  25%|██▍       | 45/182 [00:56<02:51,  1.25s/it]
Epoch 21, training loss 0.108:  25%|██▍       | 45/182 [00:57<02:54,  1.27s/it]
Epoch 21, training loss 0.108:  25%|██▌       | 46/182 [00:57<02:50,  1.25s/it]
Epoch 21, training loss 0.114:  25%|██▌       | 46/182 [00:58<02:52,  1.27s/it]
Epoch 21, training loss 0.114:  26%|██▌       | 47/182 [00:58<02:48,  1.25s/it]
Epoch 21, training loss 0.117:  26%|██▌       | 47/182 [00:59<02:50,  1.26s/it]
Epoch 21, training loss 0.117:  26%|██▋       | 48/182 [00:59<02:47,  1.25s/it]
Epoch 21, training loss 0.117:  26%|██▋       | 48/182 [01:00<02:48,  1.26s/it]
Epoch 21, training loss 0.117:  27%|██▋       | 49/182 [01:01<02:45,  1.25s/it]
Epoch 21, training loss 0.116:  27%|██▋       | 49/182 [01:01<02:47,  1.26s/it]
Epoch 21, training loss 0.116:  27%|██▋       | 50/182 [01:02<02:44,  1.24s/it]
Epoch 21, training loss 0.116:  27%|██▋       | 50/182 [01:02<02:45,  1.26s/it]
Epoch 21, training loss 0.116:  28%|██▊       | 51/182 [01:03<02:42,  1.24s/it]
Epoch 21, training loss 0.122:  28%|██▊       | 51/182 [01:03<02:44,  1.25s/it]
Epoch 21, training loss 0.122:  29%|██▊       | 52/182 [01:04<02:41,  1.24s/it]
Epoch 21, training loss 0.121:  29%|██▊       | 52/182 [01:05<02:42,  1.25s/it]
Epoch 21, training loss 0.121:  29%|██▉       | 53/182 [01:05<02:39,  1.24s/it]
Epoch 21, training loss 0.120:  29%|██▉       | 53/182 [01:06<02:41,  1.25s/it]
Epoch 21, training loss 0.120:  30%|██▉       | 54/182 [01:06<02:38,  1.24s/it]
Epoch 21, training loss 0.119:  30%|██▉       | 54/182 [01:07<02:39,  1.25s/it]
Epoch 21, training loss 0.119:  30%|███       | 55/182 [01:07<02:36,  1.23s/it]
Epoch 21, training loss 0.120:  30%|███       | 55/182 [01:08<02:38,  1.25s/it]
Epoch 21, training loss 0.120:  31%|███       | 56/182 [01:09<02:35,  1.23s/it]
Epoch 21, training loss 0.122:  31%|███       | 56/182 [01:09<02:36,  1.24s/it]
Epoch 21, training loss 0.122:  31%|███▏      | 57/182 [01:10<02:33,  1.23s/it]
Epoch 21, training loss 0.121:  31%|███▏      | 57/182 [01:10<02:35,  1.24s/it]
Epoch 21, training loss 0.121:  32%|███▏      | 58/182 [01:11<02:32,  1.23s/it]
Epoch 21, training loss 0.120:  32%|███▏      | 58/182 [01:11<02:33,  1.24s/it]
Epoch 21, training loss 0.120:  32%|███▏      | 59/182 [01:12<02:31,  1.23s/it]
Epoch 21, training loss 0.119:  32%|███▏      | 59/182 [01:13<02:32,  1.24s/it]
Epoch 21, training loss 0.119:  33%|███▎      | 60/182 [01:13<02:29,  1.23s/it]
Epoch 21, training loss 0.118:  33%|███▎      | 60/182 [01:14<02:31,  1.24s/it]
Epoch 21, training loss 0.118:  34%|███▎      | 61/182 [01:14<02:28,  1.23s/it]
Epoch 21, training loss 0.117:  34%|███▎      | 61/182 [01:15<02:29,  1.24s/it]
Epoch 21, training loss 0.117:  34%|███▍      | 62/182 [01:16<02:27,  1.23s/it]
Epoch 21, training loss 0.120:  34%|███▍      | 62/182 [01:16<02:28,  1.24s/it]
Epoch 21, training loss 0.120:  35%|███▍      | 63/182 [01:17<02:25,  1.22s/it]
Epoch 21, training loss 0.125:  35%|███▍      | 63/182 [01:17<02:27,  1.24s/it]
Epoch 21, training loss 0.125:  35%|███▌      | 64/182 [01:18<02:24,  1.22s/it]
Epoch 21, training loss 0.126:  35%|███▌      | 64/182 [01:18<02:25,  1.23s/it]
Epoch 21, training loss 0.126:  36%|███▌      | 65/182 [01:19<02:23,  1.22s/it]
Epoch 21, training loss 0.126:  36%|███▌      | 65/182 [01:20<02:24,  1.23s/it]
Epoch 21, training loss 0.126:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 21, training loss 0.125:  36%|███▋      | 66/182 [01:21<02:22,  1.23s/it]
Epoch 21, training loss 0.125:  37%|███▋      | 67/182 [01:21<02:20,  1.22s/it]
Epoch 21, training loss 0.124:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 21, training loss 0.124:  37%|███▋      | 68/182 [01:22<02:18,  1.22s/it]
Epoch 21, training loss 0.123:  37%|███▋      | 68/182 [01:23<02:19,  1.23s/it]
Epoch 21, training loss 0.123:  38%|███▊      | 69/182 [01:23<02:17,  1.22s/it]
Epoch 21, training loss 0.121:  38%|███▊      | 69/182 [01:24<02:18,  1.23s/it]
Epoch 21, training loss 0.121:  38%|███▊      | 70/182 [01:25<02:16,  1.22s/it]
Epoch 21, training loss 0.121:  38%|███▊      | 70/182 [01:25<02:17,  1.22s/it]
Epoch 21, training loss 0.121:  39%|███▉      | 71/182 [01:26<02:14,  1.21s/it]
Epoch 21, training loss 0.120:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 21, training loss 0.120:  40%|███▉      | 72/182 [01:27<02:13,  1.22s/it]
Epoch 21, training loss 0.119:  40%|███▉      | 72/182 [01:28<02:14,  1.22s/it]
Epoch 21, training loss 0.119:  40%|████      | 73/182 [01:28<02:12,  1.22s/it]
Epoch 21, training loss 0.119:  40%|████      | 73/182 [01:29<02:13,  1.22s/it]
Epoch 21, training loss 0.119:  41%|████      | 74/182 [01:29<02:11,  1.22s/it]
Epoch 21, training loss 0.119:  41%|████      | 74/182 [01:30<02:12,  1.22s/it]
Epoch 21, training loss 0.119:  41%|████      | 75/182 [01:31<02:09,  1.21s/it]
Epoch 21, training loss 0.117:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 21, training loss 0.117:  42%|████▏     | 76/182 [01:32<02:08,  1.21s/it]
Epoch 21, training loss 0.116:  42%|████▏     | 76/182 [01:32<02:09,  1.22s/it]
Epoch 21, training loss 0.116:  42%|████▏     | 77/182 [01:33<02:07,  1.21s/it]
Epoch 21, training loss 0.116:  42%|████▏     | 77/182 [01:34<02:08,  1.22s/it]
Epoch 21, training loss 0.116:  43%|████▎     | 78/182 [01:34<02:05,  1.21s/it]
Epoch 21, training loss 0.117:  43%|████▎     | 78/182 [01:35<02:06,  1.22s/it]
Epoch 21, training loss 0.117:  43%|████▎     | 79/182 [01:35<02:04,  1.21s/it]
Epoch 21, training loss 0.116:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
Epoch 21, training loss 0.116:  44%|████▍     | 80/182 [01:36<02:03,  1.21s/it]
Epoch 21, training loss 0.116:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 21, training loss 0.116:  45%|████▍     | 81/182 [01:37<02:02,  1.21s/it]
Epoch 21, training loss 0.117:  45%|████▍     | 81/182 [01:38<02:02,  1.22s/it]
Epoch 21, training loss 0.117:  45%|████▌     | 82/182 [01:39<02:00,  1.21s/it]
Epoch 21, training loss 0.116:  45%|████▌     | 82/182 [01:39<02:01,  1.22s/it]
Epoch 21, training loss 0.116:  46%|████▌     | 83/182 [01:40<01:59,  1.21s/it]
Epoch 21, training loss 0.115:  46%|████▌     | 83/182 [01:40<02:00,  1.21s/it]
Epoch 21, training loss 0.115:  46%|████▌     | 84/182 [01:41<01:58,  1.21s/it]
Epoch 21, training loss 0.117:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 21, training loss 0.117:  47%|████▋     | 85/182 [01:42<01:57,  1.21s/it]
Epoch 21, training loss 0.117:  47%|████▋     | 85/182 [01:43<01:57,  1.21s/it]
Epoch 21, training loss 0.117:  47%|████▋     | 86/182 [01:43<01:55,  1.21s/it]
Epoch 21, training loss 0.117:  47%|████▋     | 86/182 [01:44<01:56,  1.21s/it]
Epoch 21, training loss 0.117:  48%|████▊     | 87/182 [01:44<01:54,  1.20s/it]
Epoch 21, training loss 0.117:  48%|████▊     | 87/182 [01:45<01:55,  1.21s/it]
Epoch 21, training loss 0.117:  48%|████▊     | 88/182 [01:45<01:53,  1.20s/it]
Epoch 21, training loss 0.117:  48%|████▊     | 88/182 [01:46<01:53,  1.21s/it]
Epoch 21, training loss 0.117:  49%|████▉     | 89/182 [01:47<01:51,  1.20s/it]
Epoch 21, training loss 0.117:  49%|████▉     | 89/182 [01:47<01:52,  1.21s/it]
Epoch 21, training loss 0.117:  49%|████▉     | 90/182 [01:48<01:50,  1.20s/it]
Epoch 21, training loss 0.117:  49%|████▉     | 90/182 [01:48<01:51,  1.21s/it]
Epoch 21, training loss 0.117:  50%|█████     | 91/182 [01:49<01:49,  1.20s/it]
Epoch 21, training loss 0.116:  50%|█████     | 91/182 [01:50<01:50,  1.21s/it]
Epoch 21, training loss 0.116:  51%|█████     | 92/182 [01:50<01:48,  1.20s/it]
Epoch 21, training loss 0.116:  51%|█████     | 92/182 [01:51<01:48,  1.21s/it]
Epoch 21, training loss 0.116:  51%|█████     | 93/182 [01:51<01:46,  1.20s/it]
Epoch 21, training loss 0.115:  51%|█████     | 93/182 [01:52<01:47,  1.21s/it]
Epoch 21, training loss 0.115:  52%|█████▏    | 94/182 [01:52<01:45,  1.20s/it]
Epoch 21, training loss 0.115:  52%|█████▏    | 94/182 [01:53<01:46,  1.21s/it]
Epoch 21, training loss 0.115:  52%|█████▏    | 95/182 [01:54<01:44,  1.20s/it]
Epoch 21, training loss 0.114:  52%|█████▏    | 95/182 [01:54<01:45,  1.21s/it]
Epoch 21, training loss 0.114:  53%|█████▎    | 96/182 [01:55<01:43,  1.20s/it]
Epoch 21, training loss 0.114:  53%|█████▎    | 96/182 [01:56<01:43,  1.21s/it]
Epoch 21, training loss 0.114:  53%|█████▎    | 97/182 [01:56<01:42,  1.20s/it]
Epoch 21, training loss 0.114:  53%|█████▎    | 97/182 [01:57<01:42,  1.21s/it]
Epoch 21, training loss 0.114:  54%|█████▍    | 98/182 [01:57<01:40,  1.20s/it]
Epoch 21, training loss 0.114:  54%|█████▍    | 98/182 [01:58<01:41,  1.21s/it]
Epoch 21, training loss 0.114:  54%|█████▍    | 99/182 [01:58<01:39,  1.20s/it]
Epoch 21, training loss 0.113:  54%|█████▍    | 99/182 [01:59<01:40,  1.21s/it]
Epoch 21, training loss 0.113:  55%|█████▍    | 100/182 [02:00<01:38,  1.20s/it]
Epoch 21, training loss 0.114:  55%|█████▍    | 100/182 [02:00<01:38,  1.21s/it]
Epoch 21, training loss 0.114:  55%|█████▌    | 101/182 [02:01<01:37,  1.20s/it]
Epoch 21, training loss 0.114:  55%|█████▌    | 101/182 [02:01<01:37,  1.21s/it]
Epoch 21, training loss 0.114:  56%|█████▌    | 102/182 [02:02<01:36,  1.20s/it]
Epoch 21, training loss 0.113:  56%|█████▌    | 102/182 [02:03<01:36,  1.21s/it]
Epoch 21, training loss 0.113:  57%|█████▋    | 103/182 [02:03<01:34,  1.20s/it]
Epoch 21, training loss 0.113:  57%|█████▋    | 103/182 [02:04<01:35,  1.21s/it]
Epoch 21, training loss 0.113:  57%|█████▋    | 104/182 [02:04<01:33,  1.20s/it]
Epoch 21, training loss 0.112:  57%|█████▋    | 104/182 [02:05<01:34,  1.21s/it]
Epoch 21, training loss 0.112:  58%|█████▊    | 105/182 [02:05<01:32,  1.20s/it]
Epoch 21, training loss 0.112:  58%|█████▊    | 105/182 [02:06<01:32,  1.21s/it]
Epoch 21, training loss 0.112:  58%|█████▊    | 106/182 [02:07<01:31,  1.20s/it]
Epoch 21, training loss 0.112:  58%|█████▊    | 106/182 [02:07<01:31,  1.20s/it]
Epoch 21, training loss 0.112:  59%|█████▉    | 107/182 [02:08<01:29,  1.20s/it]
Epoch 21, training loss 0.113:  59%|█████▉    | 107/182 [02:08<01:30,  1.20s/it]
Epoch 21, training loss 0.113:  59%|█████▉    | 108/182 [02:09<01:28,  1.20s/it]
Epoch 21, training loss 0.112:  59%|█████▉    | 108/182 [02:10<01:29,  1.20s/it]
Epoch 21, training loss 0.112:  60%|█████▉    | 109/182 [02:10<01:27,  1.20s/it]
Epoch 21, training loss 0.112:  60%|█████▉    | 109/182 [02:11<01:27,  1.21s/it]
Epoch 21, training loss 0.112:  60%|██████    | 110/182 [02:11<01:26,  1.20s/it]
Epoch 21, training loss 0.112:  60%|██████    | 110/182 [02:12<01:26,  1.20s/it]
Epoch 21, training loss 0.112:  61%|██████    | 111/182 [02:12<01:25,  1.20s/it]
Epoch 21, training loss 0.111:  61%|██████    | 111/182 [02:13<01:25,  1.20s/it]
Epoch 21, training loss 0.111:  62%|██████▏   | 112/182 [02:14<01:23,  1.20s/it]
Epoch 21, training loss 0.111:  62%|██████▏   | 112/182 [02:14<01:24,  1.20s/it]
Epoch 21, training loss 0.111:  62%|██████▏   | 113/182 [02:15<01:22,  1.20s/it]
Epoch 21, training loss 0.110:  62%|██████▏   | 113/182 [02:15<01:22,  1.20s/it]
Epoch 21, training loss 0.110:  63%|██████▎   | 114/182 [02:16<01:21,  1.20s/it]
Epoch 21, training loss 0.110:  63%|██████▎   | 114/182 [02:16<01:21,  1.20s/it]
Epoch 21, training loss 0.110:  63%|██████▎   | 115/182 [02:17<01:20,  1.19s/it]
Epoch 21, training loss 0.109:  63%|██████▎   | 115/182 [02:18<01:20,  1.20s/it]
Epoch 21, training loss 0.109:  64%|██████▎   | 116/182 [02:18<01:18,  1.19s/it]
Epoch 21, training loss 0.109:  64%|██████▎   | 116/182 [02:19<01:19,  1.20s/it]
Epoch 21, training loss 0.109:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 21, training loss 0.109:  64%|██████▍   | 117/182 [02:20<01:18,  1.20s/it]
Epoch 21, training loss 0.109:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 21, training loss 0.109:  65%|██████▍   | 118/182 [02:21<01:16,  1.20s/it]
Epoch 21, training loss 0.109:  65%|██████▌   | 119/182 [02:21<01:15,  1.19s/it]
Epoch 21, training loss 0.109:  65%|██████▌   | 119/182 [02:22<01:15,  1.20s/it]
Epoch 21, training loss 0.109:  66%|██████▌   | 120/182 [02:23<01:13,  1.19s/it]
Epoch 21, training loss 0.108:  66%|██████▌   | 120/182 [02:23<01:14,  1.20s/it]
Epoch 21, training loss 0.108:  66%|██████▋   | 121/182 [02:24<01:12,  1.19s/it]
Epoch 21, training loss 0.109:  66%|██████▋   | 121/182 [02:25<01:13,  1.20s/it]
Epoch 21, training loss 0.109:  67%|██████▋   | 122/182 [02:25<01:11,  1.19s/it]
Epoch 21, training loss 0.108:  67%|██████▋   | 122/182 [02:26<01:11,  1.20s/it]
Epoch 21, training loss 0.108:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 21, training loss 0.108:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 21, training loss 0.108:  68%|██████▊   | 124/182 [02:27<01:09,  1.19s/it]
Epoch 21, training loss 0.108:  68%|██████▊   | 124/182 [02:28<01:09,  1.20s/it]
Epoch 21, training loss 0.108:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 21, training loss 0.109:  69%|██████▊   | 125/182 [02:29<01:08,  1.20s/it]
Epoch 21, training loss 0.109:  69%|██████▉   | 126/182 [02:30<01:06,  1.19s/it]
Epoch 21, training loss 0.110:  69%|██████▉   | 126/182 [02:30<01:07,  1.20s/it]
Epoch 21, training loss 0.110:  70%|██████▉   | 127/182 [02:31<01:05,  1.19s/it]
Epoch 21, training loss 0.110:  70%|██████▉   | 127/182 [02:31<01:05,  1.20s/it]
Epoch 21, training loss 0.110:  70%|███████   | 128/182 [02:32<01:04,  1.19s/it]
Epoch 21, training loss 0.110:  70%|███████   | 128/182 [02:32<01:04,  1.20s/it]
Epoch 21, training loss 0.110:  71%|███████   | 129/182 [02:33<01:03,  1.19s/it]
Epoch 21, training loss 0.110:  71%|███████   | 129/182 [02:34<01:03,  1.20s/it]
Epoch 21, training loss 0.110:  71%|███████▏  | 130/182 [02:34<01:01,  1.19s/it]
Epoch 21, training loss 0.110:  71%|███████▏  | 130/182 [02:35<01:02,  1.20s/it]
Epoch 21, training loss 0.110:  72%|███████▏  | 131/182 [02:35<01:00,  1.19s/it]
Epoch 21, training loss 0.110:  72%|███████▏  | 131/182 [02:36<01:00,  1.19s/it]
Epoch 21, training loss 0.110:  73%|███████▎  | 132/182 [02:36<00:59,  1.19s/it]
Epoch 21, training loss 0.111:  73%|███████▎  | 132/182 [02:37<00:59,  1.19s/it]
Epoch 21, training loss 0.111:  73%|███████▎  | 133/182 [02:38<00:58,  1.19s/it]
Epoch 21, training loss 0.111:  73%|███████▎  | 133/182 [02:38<00:58,  1.19s/it]
Epoch 21, training loss 0.111:  74%|███████▎  | 134/182 [02:39<00:57,  1.19s/it]
Epoch 21, training loss 0.111:  74%|███████▎  | 134/182 [02:39<00:57,  1.19s/it]
Epoch 21, training loss 0.111:  74%|███████▍  | 135/182 [02:40<00:55,  1.19s/it]
Epoch 21, training loss 0.110:  74%|███████▍  | 135/182 [02:40<00:56,  1.19s/it]
Epoch 21, training loss 0.110:  75%|███████▍  | 136/182 [02:41<00:54,  1.19s/it]
Epoch 21, training loss 0.114:  75%|███████▍  | 136/182 [02:42<00:54,  1.19s/it]
Epoch 21, training loss 0.114:  75%|███████▌  | 137/182 [02:42<00:53,  1.19s/it]
Epoch 21, training loss 0.114:  75%|███████▌  | 137/182 [02:43<00:53,  1.19s/it]
Epoch 21, training loss 0.114:  76%|███████▌  | 138/182 [02:43<00:52,  1.19s/it]
Epoch 21, training loss 0.113:  76%|███████▌  | 138/182 [02:44<00:52,  1.19s/it]
Epoch 21, training loss 0.113:  76%|███████▋  | 139/182 [02:44<00:50,  1.19s/it]
Epoch 21, training loss 0.113:  76%|███████▋  | 139/182 [02:45<00:51,  1.19s/it]
Epoch 21, training loss 0.113:  77%|███████▋  | 140/182 [02:45<00:49,  1.19s/it]
Epoch 21, training loss 0.113:  77%|███████▋  | 140/182 [02:46<00:49,  1.19s/it]
Epoch 21, training loss 0.113:  77%|███████▋  | 141/182 [02:47<00:48,  1.18s/it]
Epoch 21, training loss 0.112:  77%|███████▋  | 141/182 [02:47<00:48,  1.19s/it]
Epoch 21, training loss 0.112:  78%|███████▊  | 142/182 [02:48<00:47,  1.18s/it]
Epoch 21, training loss 0.112:  78%|███████▊  | 142/182 [02:48<00:47,  1.19s/it]
Epoch 21, training loss 0.112:  79%|███████▊  | 143/182 [02:49<00:46,  1.18s/it]
Epoch 21, training loss 0.112:  79%|███████▊  | 143/182 [02:49<00:46,  1.19s/it]
Epoch 21, training loss 0.112:  79%|███████▉  | 144/182 [02:50<00:44,  1.18s/it]
Epoch 21, training loss 0.112:  79%|███████▉  | 144/182 [02:51<00:45,  1.19s/it]
Epoch 21, training loss 0.112:  80%|███████▉  | 145/182 [02:51<00:43,  1.18s/it]
Epoch 21, training loss 0.112:  80%|███████▉  | 145/182 [02:52<00:43,  1.19s/it]
Epoch 21, training loss 0.112:  80%|████████  | 146/182 [02:52<00:42,  1.18s/it]
Epoch 21, training loss 0.112:  80%|████████  | 146/182 [02:53<00:42,  1.19s/it]
Epoch 21, training loss 0.112:  81%|████████  | 147/182 [02:53<00:41,  1.18s/it]
Epoch 21, training loss 0.112:  81%|████████  | 147/182 [02:54<00:41,  1.19s/it]
Epoch 21, training loss 0.112:  81%|████████▏ | 148/182 [02:54<00:40,  1.18s/it]
Epoch 21, training loss 0.114:  81%|████████▏ | 148/182 [02:55<00:40,  1.19s/it]
Epoch 21, training loss 0.114:  82%|████████▏ | 149/182 [02:56<00:39,  1.18s/it]
Epoch 21, training loss 0.113:  82%|████████▏ | 149/182 [02:56<00:39,  1.19s/it]
Epoch 21, training loss 0.113:  82%|████████▏ | 150/182 [02:57<00:37,  1.18s/it]
Epoch 21, training loss 0.114:  82%|████████▏ | 150/182 [02:57<00:37,  1.19s/it]
Epoch 21, training loss 0.114:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 21, training loss 0.114:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 21, training loss 0.114:  84%|████████▎ | 152/182 [02:59<00:35,  1.18s/it]
Epoch 21, training loss 0.114:  84%|████████▎ | 152/182 [03:00<00:35,  1.19s/it]
Epoch 21, training loss 0.114:  84%|████████▍ | 153/182 [03:00<00:34,  1.18s/it]
Epoch 21, training loss 0.114:  84%|████████▍ | 153/182 [03:01<00:34,  1.19s/it]
Epoch 21, training loss 0.114:  85%|████████▍ | 154/182 [03:01<00:33,  1.18s/it]
Epoch 21, training loss 0.114:  85%|████████▍ | 154/182 [03:02<00:33,  1.19s/it]
Epoch 21, training loss 0.114:  85%|████████▌ | 155/182 [03:02<00:31,  1.18s/it]
Epoch 21, training loss 0.114:  85%|████████▌ | 155/182 [03:03<00:31,  1.18s/it]
Epoch 21, training loss 0.114:  86%|████████▌ | 156/182 [03:04<00:30,  1.18s/it]
Epoch 21, training loss 0.114:  86%|████████▌ | 156/182 [03:04<00:30,  1.18s/it]
Epoch 21, training loss 0.114:  86%|████████▋ | 157/182 [03:05<00:29,  1.18s/it]
Epoch 21, training loss 0.113:  86%|████████▋ | 157/182 [03:05<00:29,  1.18s/it]
Epoch 21, training loss 0.113:  87%|████████▋ | 158/182 [03:06<00:28,  1.18s/it]
Epoch 21, training loss 0.115:  87%|████████▋ | 158/182 [03:07<00:28,  1.18s/it]
Epoch 21, training loss 0.115:  87%|████████▋ | 159/182 [03:07<00:27,  1.18s/it]
Epoch 21, training loss 0.114:  87%|████████▋ | 159/182 [03:08<00:27,  1.18s/it]
Epoch 21, training loss 0.114:  88%|████████▊ | 160/182 [03:08<00:25,  1.18s/it]
Epoch 21, training loss 0.114:  88%|████████▊ | 160/182 [03:09<00:26,  1.18s/it]
Epoch 21, training loss 0.114:  88%|████████▊ | 161/182 [03:09<00:24,  1.18s/it]
Epoch 21, training loss 0.114:  88%|████████▊ | 161/182 [03:10<00:24,  1.18s/it]
Epoch 21, training loss 0.114:  89%|████████▉ | 162/182 [03:11<00:23,  1.18s/it]
Epoch 21, training loss 0.114:  89%|████████▉ | 162/182 [03:11<00:23,  1.18s/it]
Epoch 21, training loss 0.114:  90%|████████▉ | 163/182 [03:12<00:22,  1.18s/it]
Epoch 21, training loss 0.114:  90%|████████▉ | 163/182 [03:12<00:22,  1.18s/it]
Epoch 21, training loss 0.114:  90%|█████████ | 164/182 [03:13<00:21,  1.18s/it]
Epoch 21, training loss 0.115:  90%|█████████ | 164/182 [03:13<00:21,  1.18s/it]
Epoch 21, training loss 0.115:  91%|█████████ | 165/182 [03:14<00:20,  1.18s/it]
Epoch 21, training loss 0.116:  91%|█████████ | 165/182 [03:14<00:20,  1.18s/it]
Epoch 21, training loss 0.116:  91%|█████████ | 166/182 [03:15<00:18,  1.18s/it]
Epoch 21, training loss 0.115:  91%|█████████ | 166/182 [03:16<00:18,  1.18s/it]
Epoch 21, training loss 0.115:  92%|█████████▏| 167/182 [03:16<00:17,  1.18s/it]
Epoch 21, training loss 0.115:  92%|█████████▏| 167/182 [03:17<00:17,  1.18s/it]
Epoch 21, training loss 0.115:  92%|█████████▏| 168/182 [03:17<00:16,  1.18s/it]
Epoch 21, training loss 0.115:  92%|█████████▏| 168/182 [03:18<00:16,  1.18s/it]
Epoch 21, training loss 0.115:  93%|█████████▎| 169/182 [03:18<00:15,  1.18s/it]
Epoch 21, training loss 0.117:  93%|█████████▎| 169/182 [03:19<00:15,  1.18s/it]
Epoch 21, training loss 0.117:  93%|█████████▎| 170/182 [03:19<00:14,  1.18s/it]
Epoch 21, training loss 0.119:  93%|█████████▎| 170/182 [03:20<00:14,  1.18s/it]
Epoch 21, training loss 0.119:  94%|█████████▍| 171/182 [03:20<00:12,  1.17s/it]
Epoch 21, training loss 0.119:  94%|█████████▍| 171/182 [03:21<00:12,  1.18s/it]
Epoch 21, training loss 0.119:  95%|█████████▍| 172/182 [03:21<00:11,  1.17s/it]
Epoch 21, training loss 0.119:  95%|█████████▍| 172/182 [03:22<00:11,  1.18s/it]
Epoch 21, training loss 0.119:  95%|█████████▌| 173/182 [03:23<00:10,  1.17s/it]
Epoch 21, training loss 0.119:  95%|█████████▌| 173/182 [03:23<00:10,  1.18s/it]
Epoch 21, training loss 0.119:  96%|█████████▌| 174/182 [03:24<00:09,  1.17s/it]
Epoch 21, training loss 0.118:  96%|█████████▌| 174/182 [03:25<00:09,  1.18s/it]
Epoch 21, training loss 0.118:  96%|█████████▌| 175/182 [03:25<00:08,  1.17s/it]
Epoch 21, training loss 0.118:  96%|█████████▌| 175/182 [03:26<00:08,  1.18s/it]
Epoch 21, training loss 0.118:  97%|█████████▋| 176/182 [03:26<00:07,  1.17s/it]
Epoch 21, training loss 0.118:  97%|█████████▋| 176/182 [03:27<00:07,  1.18s/it]
Epoch 21, training loss 0.118:  97%|█████████▋| 177/182 [03:27<00:05,  1.17s/it]
Epoch 21, training loss 0.118:  97%|█████████▋| 177/182 [03:28<00:05,  1.18s/it]
Epoch 21, training loss 0.118:  98%|█████████▊| 178/182 [03:29<00:04,  1.17s/it]
Epoch 21, training loss 0.118:  98%|█████████▊| 178/182 [03:29<00:04,  1.18s/it]
Epoch 21, training loss 0.118:  98%|█████████▊| 179/182 [03:30<00:03,  1.17s/it]
Epoch 21, training loss 0.118:  98%|█████████▊| 179/182 [03:30<00:03,  1.18s/it]
Epoch 21, training loss 0.118:  99%|█████████▉| 180/182 [03:31<00:02,  1.17s/it]
Epoch 21, training loss 0.118:  99%|█████████▉| 180/182 [03:31<00:02,  1.18s/it]
Epoch 21, training loss 0.118:  99%|█████████▉| 181/182 [03:32<00:01,  1.17s/it]
Epoch 21, training loss 0.117:  99%|█████████▉| 181/182 [03:33<00:01,  1.18s/it]
Epoch 21, training loss 0.117: 100%|██████████| 182/182 [03:33<00:00,  1.17s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.598:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.598:   1%|          | 1/91 [00:04<07:17,  4.86s/it]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.767:   1%|          | 1/91 [00:05<07:57,  5.30s/it]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.767:   2%|▏         | 2/91 [00:05<03:56,  2.65s/it]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.797:   2%|▏         | 2/91 [00:05<04:16,  2.88s/it]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.797:   3%|▎         | 3/91 [00:05<02:48,  1.92s/it]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.796:   3%|▎         | 3/91 [00:06<03:02,  2.07s/it]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.796:   4%|▍         | 4/91 [00:06<02:15,  1.55s/it]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.843:   4%|▍         | 4/91 [00:06<02:23,  1.65s/it]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.843:   5%|▌         | 5/91 [00:06<01:53,  1.32s/it]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.899:   5%|▌         | 5/91 [00:07<02:01,  1.41s/it]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.899:   7%|▋         | 6/91 [00:07<01:39,  1.18s/it]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.898:   7%|▋         | 6/91 [00:07<01:45,  1.24s/it]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.898:   8%|▊         | 7/91 [00:07<01:29,  1.06s/it]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.894:   8%|▊         | 7/91 [00:07<01:34,  1.12s/it]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.894:   9%|▉         | 8/91 [00:07<01:21,  1.02it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.900:   9%|▉         | 8/91 [00:08<01:26,  1.04s/it]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.900:  10%|▉         | 9/91 [00:08<01:15,  1.08it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.903:  10%|▉         | 9/91 [00:08<01:19,  1.03it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.903:  11%|█         | 10/91 [00:08<01:11,  1.14it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.905:  11%|█         | 10/91 [00:09<01:14,  1.09it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.905:  12%|█▏        | 11/91 [00:09<01:06,  1.20it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.904:  12%|█▏        | 11/91 [00:09<01:10,  1.14it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.904:  13%|█▎        | 12/91 [00:09<01:03,  1.25it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.901:  13%|█▎        | 12/91 [00:10<01:06,  1.19it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.901:  14%|█▍        | 13/91 [00:10<01:00,  1.29it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.908:  14%|█▍        | 13/91 [00:10<01:03,  1.24it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.908:  15%|█▌        | 14/91 [00:10<00:57,  1.33it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.909:  15%|█▌        | 14/91 [00:10<01:00,  1.28it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.909:  16%|█▋        | 15/91 [00:10<00:55,  1.37it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.911:  16%|█▋        | 15/91 [00:11<00:57,  1.31it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.911:  18%|█▊        | 16/91 [00:11<00:53,  1.40it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.913:  18%|█▊        | 16/91 [00:11<00:55,  1.35it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.913:  19%|█▊        | 17/91 [00:11<00:51,  1.44it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.911:  19%|█▊        | 17/91 [00:12<00:53,  1.38it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.911:  20%|█▉        | 18/91 [00:12<00:49,  1.46it/s]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.905:  20%|█▉        | 18/91 [00:12<00:51,  1.41it/s]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.905:  21%|██        | 19/91 [00:12<00:48,  1.49it/s]
Epoch 21, validation pixAcc: 0.976, mIoU: 0.902:  21%|██        | 19/91 [00:13<00:50,  1.44it/s]
Epoch 21, validation pixAcc: 0.976, mIoU: 0.902:  22%|██▏       | 20/91 [00:13<00:46,  1.51it/s]
Epoch 21, validation pixAcc: 0.976, mIoU: 0.902:  22%|██▏       | 20/91 [00:13<00:48,  1.47it/s]
Epoch 21, validation pixAcc: 0.976, mIoU: 0.902:  23%|██▎       | 21/91 [00:13<00:45,  1.54it/s]
Epoch 21, validation pixAcc: 0.975, mIoU: 0.900:  23%|██▎       | 21/91 [00:14<00:46,  1.50it/s]
Epoch 21, validation pixAcc: 0.975, mIoU: 0.900:  24%|██▍       | 22/91 [00:14<00:44,  1.57it/s]
Epoch 21, validation pixAcc: 0.976, mIoU: 0.902:  24%|██▍       | 22/91 [00:14<00:45,  1.52it/s]
Epoch 21, validation pixAcc: 0.976, mIoU: 0.902:  25%|██▌       | 23/91 [00:14<00:42,  1.59it/s]
Epoch 21, validation pixAcc: 0.976, mIoU: 0.903:  25%|██▌       | 23/91 [00:14<00:44,  1.54it/s]
Epoch 21, validation pixAcc: 0.976, mIoU: 0.903:  26%|██▋       | 24/91 [00:14<00:41,  1.61it/s]
Epoch 21, validation pixAcc: 0.976, mIoU: 0.901:  26%|██▋       | 24/91 [00:15<00:42,  1.56it/s]
Epoch 21, validation pixAcc: 0.976, mIoU: 0.901:  27%|██▋       | 25/91 [00:15<00:40,  1.63it/s]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.903:  27%|██▋       | 25/91 [00:15<00:41,  1.58it/s]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.903:  29%|██▊       | 26/91 [00:15<00:39,  1.65it/s]
Epoch 21, validation pixAcc: 0.976, mIoU: 0.903:  29%|██▊       | 26/91 [00:16<00:40,  1.60it/s]
Epoch 21, validation pixAcc: 0.976, mIoU: 0.903:  30%|██▉       | 27/91 [00:16<00:38,  1.66it/s]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.906:  30%|██▉       | 27/91 [00:16<00:39,  1.62it/s]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.906:  31%|███       | 28/91 [00:16<00:37,  1.68it/s]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.907:  31%|███       | 28/91 [00:17<00:38,  1.64it/s]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.907:  32%|███▏      | 29/91 [00:17<00:36,  1.70it/s]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.907:  32%|███▏      | 29/91 [00:17<00:37,  1.65it/s]
Epoch 21, validation pixAcc: 0.977, mIoU: 0.907:  33%|███▎      | 30/91 [00:17<00:35,  1.71it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.908:  33%|███▎      | 30/91 [00:17<00:36,  1.67it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.908:  34%|███▍      | 31/91 [00:17<00:34,  1.73it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.909:  34%|███▍      | 31/91 [00:18<00:35,  1.69it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.909:  35%|███▌      | 32/91 [00:18<00:33,  1.74it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.911:  35%|███▌      | 32/91 [00:18<00:34,  1.70it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.911:  36%|███▋      | 33/91 [00:18<00:33,  1.75it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.912:  36%|███▋      | 33/91 [00:19<00:33,  1.71it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.912:  37%|███▋      | 34/91 [00:19<00:32,  1.76it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.912:  37%|███▋      | 34/91 [00:19<00:33,  1.72it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.912:  38%|███▊      | 35/91 [00:19<00:31,  1.77it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.912:  38%|███▊      | 35/91 [00:20<00:32,  1.74it/s]
Epoch 21, validation pixAcc: 0.978, mIoU: 0.912:  40%|███▉      | 36/91 [00:20<00:30,  1.79it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.912:  40%|███▉      | 36/91 [00:20<00:31,  1.75it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.912:  41%|████      | 37/91 [00:20<00:30,  1.80it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.913:  41%|████      | 37/91 [00:21<00:30,  1.76it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.913:  42%|████▏     | 38/91 [00:21<00:29,  1.81it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.912:  42%|████▏     | 38/91 [00:21<00:29,  1.77it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.912:  43%|████▎     | 39/91 [00:21<00:28,  1.82it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.913:  43%|████▎     | 39/91 [00:21<00:29,  1.78it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.913:  44%|████▍     | 40/91 [00:21<00:27,  1.82it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.913:  44%|████▍     | 40/91 [00:22<00:28,  1.79it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.913:  45%|████▌     | 41/91 [00:22<00:27,  1.83it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.914:  45%|████▌     | 41/91 [00:22<00:27,  1.79it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.914:  46%|████▌     | 42/91 [00:22<00:26,  1.84it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.914:  46%|████▌     | 42/91 [00:23<00:27,  1.80it/s]
Epoch 21, validation pixAcc: 0.979, mIoU: 0.914:  47%|████▋     | 43/91 [00:23<00:26,  1.85it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.915:  47%|████▋     | 43/91 [00:23<00:26,  1.81it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.915:  48%|████▊     | 44/91 [00:23<00:25,  1.85it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.916:  48%|████▊     | 44/91 [00:24<00:25,  1.82it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.916:  49%|████▉     | 45/91 [00:24<00:24,  1.86it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.915:  49%|████▉     | 45/91 [00:24<00:25,  1.83it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.915:  51%|█████     | 46/91 [00:24<00:24,  1.87it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.916:  51%|█████     | 46/91 [00:25<00:24,  1.83it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.916:  52%|█████▏    | 47/91 [00:25<00:23,  1.87it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.916:  52%|█████▏    | 47/91 [00:25<00:23,  1.84it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.916:  53%|█████▎    | 48/91 [00:25<00:22,  1.88it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.915:  53%|█████▎    | 48/91 [00:25<00:23,  1.85it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.915:  54%|█████▍    | 49/91 [00:25<00:22,  1.89it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.915:  54%|█████▍    | 49/91 [00:26<00:22,  1.86it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.915:  55%|█████▍    | 50/91 [00:26<00:21,  1.90it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.916:  55%|█████▍    | 50/91 [00:26<00:21,  1.86it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.916:  56%|█████▌    | 51/91 [00:26<00:21,  1.90it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.917:  56%|█████▌    | 51/91 [00:27<00:21,  1.87it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.917:  57%|█████▋    | 52/91 [00:27<00:20,  1.90it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.916:  57%|█████▋    | 52/91 [00:27<00:20,  1.87it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.916:  58%|█████▊    | 53/91 [00:27<00:19,  1.91it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.916:  58%|█████▊    | 53/91 [00:28<00:20,  1.88it/s]
Epoch 21, validation pixAcc: 0.980, mIoU: 0.916:  59%|█████▉    | 54/91 [00:28<00:19,  1.92it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.916:  59%|█████▉    | 54/91 [00:28<00:19,  1.89it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.916:  60%|██████    | 55/91 [00:28<00:18,  1.92it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.916:  60%|██████    | 55/91 [00:29<00:19,  1.89it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.916:  62%|██████▏   | 56/91 [00:29<00:18,  1.93it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.917:  62%|██████▏   | 56/91 [00:29<00:18,  1.90it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.917:  63%|██████▎   | 57/91 [00:29<00:17,  1.94it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.916:  63%|██████▎   | 57/91 [00:29<00:17,  1.91it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.916:  64%|██████▎   | 58/91 [00:29<00:17,  1.94it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.916:  64%|██████▎   | 58/91 [00:30<00:17,  1.91it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.916:  65%|██████▍   | 59/91 [00:30<00:16,  1.94it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.916:  65%|██████▍   | 59/91 [00:30<00:16,  1.92it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.916:  66%|██████▌   | 60/91 [00:30<00:15,  1.95it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.917:  66%|██████▌   | 60/91 [00:31<00:16,  1.92it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.917:  67%|██████▋   | 61/91 [00:31<00:15,  1.96it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.917:  67%|██████▋   | 61/91 [00:31<00:15,  1.93it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.917:  68%|██████▊   | 62/91 [00:31<00:14,  1.96it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.918:  68%|██████▊   | 62/91 [00:32<00:14,  1.93it/s]
Epoch 21, validation pixAcc: 0.981, mIoU: 0.918:  69%|██████▉   | 63/91 [00:32<00:14,  1.96it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.918:  69%|██████▉   | 63/91 [00:32<00:14,  1.94it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.918:  70%|███████   | 64/91 [00:32<00:13,  1.97it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.919:  70%|███████   | 64/91 [00:32<00:13,  1.94it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.919:  71%|███████▏  | 65/91 [00:32<00:13,  1.97it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.919:  71%|███████▏  | 65/91 [00:33<00:13,  1.95it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.919:  73%|███████▎  | 66/91 [00:33<00:12,  1.98it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.919:  73%|███████▎  | 66/91 [00:33<00:12,  1.95it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.919:  74%|███████▎  | 67/91 [00:33<00:12,  1.98it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.919:  74%|███████▎  | 67/91 [00:34<00:12,  1.96it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.919:  75%|███████▍  | 68/91 [00:34<00:11,  1.99it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.919:  75%|███████▍  | 68/91 [00:34<00:11,  1.96it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.919:  76%|███████▌  | 69/91 [00:34<00:11,  1.99it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.920:  76%|███████▌  | 69/91 [00:35<00:11,  1.97it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.920:  77%|███████▋  | 70/91 [00:35<00:10,  2.00it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.920:  77%|███████▋  | 70/91 [00:35<00:10,  1.97it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.920:  78%|███████▊  | 71/91 [00:35<00:10,  2.00it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.920:  78%|███████▊  | 71/91 [00:35<00:10,  1.97it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.920:  79%|███████▉  | 72/91 [00:35<00:09,  2.00it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.920:  79%|███████▉  | 72/91 [00:36<00:09,  1.98it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.920:  80%|████████  | 73/91 [00:36<00:08,  2.00it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.920:  80%|████████  | 73/91 [00:36<00:09,  1.98it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.920:  81%|████████▏ | 74/91 [00:36<00:08,  2.01it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.921:  81%|████████▏ | 74/91 [00:37<00:08,  1.98it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.921:  82%|████████▏ | 75/91 [00:37<00:07,  2.01it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.921:  82%|████████▏ | 75/91 [00:37<00:08,  1.99it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.921:  84%|████████▎ | 76/91 [00:37<00:07,  2.01it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.921:  84%|████████▎ | 76/91 [00:38<00:07,  1.99it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.921:  85%|████████▍ | 77/91 [00:38<00:06,  2.02it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.921:  85%|████████▍ | 77/91 [00:38<00:07,  1.99it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.921:  86%|████████▌ | 78/91 [00:38<00:06,  2.02it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.921:  86%|████████▌ | 78/91 [00:39<00:06,  2.00it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.921:  87%|████████▋ | 79/91 [00:39<00:05,  2.02it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.922:  87%|████████▋ | 79/91 [00:39<00:05,  2.00it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.922:  88%|████████▊ | 80/91 [00:39<00:05,  2.03it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.922:  88%|████████▊ | 80/91 [00:39<00:05,  2.00it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.922:  89%|████████▉ | 81/91 [00:39<00:04,  2.03it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  89%|████████▉ | 81/91 [00:40<00:04,  2.01it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  90%|█████████ | 82/91 [00:40<00:04,  2.03it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  90%|█████████ | 82/91 [00:40<00:04,  2.01it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  91%|█████████ | 83/91 [00:40<00:03,  2.04it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  91%|█████████ | 83/91 [00:41<00:03,  2.02it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  92%|█████████▏| 84/91 [00:41<00:03,  2.04it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  92%|█████████▏| 84/91 [00:41<00:03,  2.02it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  93%|█████████▎| 85/91 [00:41<00:02,  2.05it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  93%|█████████▎| 85/91 [00:41<00:02,  2.03it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  95%|█████████▍| 86/91 [00:41<00:02,  2.05it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  95%|█████████▍| 86/91 [00:42<00:02,  2.03it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  96%|█████████▌| 87/91 [00:42<00:01,  2.05it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  96%|█████████▌| 87/91 [00:42<00:01,  2.03it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  97%|█████████▋| 88/91 [00:42<00:01,  2.06it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  97%|█████████▋| 88/91 [00:43<00:01,  2.04it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  98%|█████████▊| 89/91 [00:43<00:00,  2.06it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  98%|█████████▊| 89/91 [00:43<00:00,  2.04it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  99%|█████████▉| 90/91 [00:43<00:00,  2.06it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923:  99%|█████████▉| 90/91 [00:44<00:00,  2.04it/s]
Epoch 21, validation pixAcc: 0.982, mIoU: 0.923: 100%|██████████| 91/91 [00:44<00:00,  2.06it/s]

  0%|          | 0/182 [00:00<?, ?it/s]
Epoch 22, training loss 0.015:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 22, training loss 0.015:   1%|          | 1/182 [00:05<15:49,  5.24s/it]
Epoch 22, training loss 0.044:   1%|          | 1/182 [00:05<17:57,  5.95s/it]
Epoch 22, training loss 0.044:   1%|          | 2/182 [00:06<09:42,  3.24s/it]
Epoch 22, training loss 0.061:   1%|          | 2/182 [00:07<10:40,  3.56s/it]
Epoch 22, training loss 0.061:   2%|▏         | 3/182 [00:07<07:35,  2.55s/it]
Epoch 22, training loss 0.083:   2%|▏         | 3/182 [00:08<08:15,  2.77s/it]
Epoch 22, training loss 0.083:   2%|▏         | 4/182 [00:08<06:32,  2.20s/it]
Epoch 22, training loss 0.089:   2%|▏         | 4/182 [00:09<07:00,  2.36s/it]
Epoch 22, training loss 0.089:   3%|▎         | 5/182 [00:09<05:53,  1.99s/it]
Epoch 22, training loss 0.079:   3%|▎         | 5/182 [00:10<06:15,  2.12s/it]
Epoch 22, training loss 0.079:   3%|▎         | 6/182 [00:11<05:25,  1.85s/it]
Epoch 22, training loss 0.078:   3%|▎         | 6/182 [00:11<05:46,  1.97s/it]
Epoch 22, training loss 0.078:   4%|▍         | 7/182 [00:12<05:07,  1.76s/it]
Epoch 22, training loss 0.078:   4%|▍         | 7/182 [00:13<05:26,  1.86s/it]
Epoch 22, training loss 0.078:   4%|▍         | 8/182 [00:13<04:54,  1.69s/it]
Epoch 22, training loss 0.074:   4%|▍         | 8/182 [00:14<05:08,  1.77s/it]
Epoch 22, training loss 0.074:   5%|▍         | 9/182 [00:14<04:41,  1.63s/it]
Epoch 22, training loss 0.073:   5%|▍         | 9/182 [00:15<04:56,  1.71s/it]
Epoch 22, training loss 0.073:   5%|▌         | 10/182 [00:15<04:33,  1.59s/it]
Epoch 22, training loss 0.070:   5%|▌         | 10/182 [00:16<04:43,  1.65s/it]
Epoch 22, training loss 0.070:   6%|▌         | 11/182 [00:16<04:23,  1.54s/it]
Epoch 22, training loss 0.070:   6%|▌         | 11/182 [00:17<04:33,  1.60s/it]
Epoch 22, training loss 0.070:   7%|▋         | 12/182 [00:18<04:16,  1.51s/it]
Epoch 22, training loss 0.097:   7%|▋         | 12/182 [00:18<04:24,  1.56s/it]
Epoch 22, training loss 0.097:   7%|▋         | 13/182 [00:19<04:09,  1.48s/it]
Epoch 22, training loss 0.097:   7%|▋         | 13/182 [00:19<04:17,  1.53s/it]
Epoch 22, training loss 0.097:   8%|▊         | 14/182 [00:20<04:03,  1.45s/it]
Epoch 22, training loss 0.092:   8%|▊         | 14/182 [00:21<04:12,  1.50s/it]
Epoch 22, training loss 0.092:   8%|▊         | 15/182 [00:21<03:59,  1.43s/it]
Epoch 22, training loss 0.091:   8%|▊         | 15/182 [00:22<04:06,  1.48s/it]
Epoch 22, training loss 0.091:   9%|▉         | 16/182 [00:22<03:55,  1.42s/it]
Epoch 22, training loss 0.091:   9%|▉         | 16/182 [00:23<04:02,  1.46s/it]
Epoch 22, training loss 0.091:   9%|▉         | 17/182 [00:23<03:52,  1.41s/it]
Epoch 22, training loss 0.087:   9%|▉         | 17/182 [00:24<03:58,  1.44s/it]
Epoch 22, training loss 0.087:  10%|▉         | 18/182 [00:25<03:48,  1.39s/it]
Epoch 22, training loss 0.088:  10%|▉         | 18/182 [00:25<03:55,  1.43s/it]
Epoch 22, training loss 0.088:  10%|█         | 19/182 [00:26<03:45,  1.39s/it]
Epoch 22, training loss 0.087:  10%|█         | 19/182 [00:26<03:51,  1.42s/it]
Epoch 22, training loss 0.087:  11%|█         | 20/182 [00:27<03:42,  1.37s/it]
Epoch 22, training loss 0.085:  11%|█         | 20/182 [00:28<03:48,  1.41s/it]
Epoch 22, training loss 0.085:  12%|█▏        | 21/182 [00:28<03:39,  1.36s/it]
Epoch 22, training loss 0.088:  12%|█▏        | 21/182 [00:29<03:44,  1.39s/it]
Epoch 22, training loss 0.088:  12%|█▏        | 22/182 [00:29<03:36,  1.35s/it]
Epoch 22, training loss 0.088:  12%|█▏        | 22/182 [00:30<03:41,  1.38s/it]
Epoch 22, training loss 0.088:  13%|█▎        | 23/182 [00:30<03:33,  1.34s/it]
Epoch 22, training loss 0.089:  13%|█▎        | 23/182 [00:31<03:38,  1.37s/it]
Epoch 22, training loss 0.089:  13%|█▎        | 24/182 [00:32<03:31,  1.34s/it]
Epoch 22, training loss 0.088:  13%|█▎        | 24/182 [00:32<03:35,  1.36s/it]
Epoch 22, training loss 0.088:  14%|█▎        | 25/182 [00:33<03:28,  1.33s/it]
Epoch 22, training loss 0.087:  14%|█▎        | 25/182 [00:33<03:32,  1.35s/it]
Epoch 22, training loss 0.087:  14%|█▍        | 26/182 [00:34<03:25,  1.32s/it]
Epoch 22, training loss 0.086:  14%|█▍        | 26/182 [00:34<03:29,  1.34s/it]
Epoch 22, training loss 0.086:  15%|█▍        | 27/182 [00:35<03:23,  1.31s/it]
Epoch 22, training loss 0.090:  15%|█▍        | 27/182 [00:36<03:27,  1.34s/it]
Epoch 22, training loss 0.090:  15%|█▌        | 28/182 [00:36<03:21,  1.31s/it]
Epoch 22, training loss 0.095:  15%|█▌        | 28/182 [00:37<03:24,  1.33s/it]
Epoch 22, training loss 0.095:  16%|█▌        | 29/182 [00:37<03:18,  1.30s/it]
Epoch 22, training loss 0.097:  16%|█▌        | 29/182 [00:38<03:22,  1.32s/it]
Epoch 22, training loss 0.097:  16%|█▋        | 30/182 [00:38<03:17,  1.30s/it]
Epoch 22, training loss 0.104:  16%|█▋        | 30/182 [00:39<03:20,  1.32s/it]
Epoch 22, training loss 0.104:  17%|█▋        | 31/182 [00:40<03:15,  1.29s/it]
Epoch 22, training loss 0.103:  17%|█▋        | 31/182 [00:40<03:18,  1.31s/it]
Epoch 22, training loss 0.103:  18%|█▊        | 32/182 [00:41<03:13,  1.29s/it]
Epoch 22, training loss 0.102:  18%|█▊        | 32/182 [00:41<03:16,  1.31s/it]
Epoch 22, training loss 0.102:  18%|█▊        | 33/182 [00:42<03:10,  1.28s/it]
Epoch 22, training loss 0.100:  18%|█▊        | 33/182 [00:42<03:13,  1.30s/it]
Epoch 22, training loss 0.100:  19%|█▊        | 34/182 [00:43<03:09,  1.28s/it]
Epoch 22, training loss 0.099:  19%|█▊        | 34/182 [00:44<03:12,  1.30s/it]
Epoch 22, training loss 0.099:  19%|█▉        | 35/182 [00:44<03:07,  1.28s/it]
Epoch 22, training loss 0.097:  19%|█▉        | 35/182 [00:45<03:10,  1.29s/it]
Epoch 22, training loss 0.097:  20%|█▉        | 36/182 [00:45<03:05,  1.27s/it]
Epoch 22, training loss 0.098:  20%|█▉        | 36/182 [00:46<03:08,  1.29s/it]
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Epoch 22, training loss 0.099:  20%|██        | 37/182 [00:47<03:06,  1.29s/it]
Epoch 22, training loss 0.099:  21%|██        | 38/182 [00:48<03:02,  1.27s/it]
Epoch 22, training loss 0.102:  21%|██        | 38/182 [00:48<03:04,  1.28s/it]
Epoch 22, training loss 0.102:  21%|██▏       | 39/182 [00:49<03:00,  1.26s/it]
Epoch 22, training loss 0.100:  21%|██▏       | 39/182 [00:49<03:02,  1.28s/it]
Epoch 22, training loss 0.100:  22%|██▏       | 40/182 [00:50<02:58,  1.26s/it]
Epoch 22, training loss 0.100:  22%|██▏       | 40/182 [00:51<03:01,  1.28s/it]
Epoch 22, training loss 0.100:  23%|██▎       | 41/182 [00:51<02:57,  1.26s/it]
Epoch 22, training loss 0.101:  23%|██▎       | 41/182 [00:52<02:59,  1.27s/it]
Epoch 22, training loss 0.101:  23%|██▎       | 42/182 [00:52<02:55,  1.26s/it]
Epoch 22, training loss 0.102:  23%|██▎       | 42/182 [00:53<02:58,  1.27s/it]
Epoch 22, training loss 0.102:  24%|██▎       | 43/182 [00:53<02:54,  1.25s/it]
Epoch 22, training loss 0.105:  24%|██▎       | 43/182 [00:54<02:56,  1.27s/it]
Epoch 22, training loss 0.105:  24%|██▍       | 44/182 [00:55<02:52,  1.25s/it]
Epoch 22, training loss 0.103:  24%|██▍       | 44/182 [00:55<02:54,  1.27s/it]
Epoch 22, training loss 0.103:  25%|██▍       | 45/182 [00:56<02:50,  1.25s/it]
Epoch 22, training loss 0.103:  25%|██▍       | 45/182 [00:56<02:53,  1.26s/it]
Epoch 22, training loss 0.103:  25%|██▌       | 46/182 [00:57<02:49,  1.25s/it]
Epoch 22, training loss 0.104:  25%|██▌       | 46/182 [00:57<02:51,  1.26s/it]
Epoch 22, training loss 0.104:  26%|██▌       | 47/182 [00:58<02:47,  1.24s/it]
Epoch 22, training loss 0.103:  26%|██▌       | 47/182 [00:59<02:49,  1.26s/it]
Epoch 22, training loss 0.103:  26%|██▋       | 48/182 [00:59<02:46,  1.24s/it]
Epoch 22, training loss 0.102:  26%|██▋       | 48/182 [01:00<02:47,  1.25s/it]
Epoch 22, training loss 0.102:  27%|██▋       | 49/182 [01:00<02:44,  1.24s/it]
Epoch 22, training loss 0.102:  27%|██▋       | 49/182 [01:01<02:46,  1.25s/it]
Epoch 22, training loss 0.102:  27%|██▋       | 50/182 [01:01<02:43,  1.24s/it]
Epoch 22, training loss 0.100:  27%|██▋       | 50/182 [01:02<02:44,  1.25s/it]
Epoch 22, training loss 0.100:  28%|██▊       | 51/182 [01:02<02:41,  1.24s/it]
Epoch 22, training loss 0.100:  28%|██▊       | 51/182 [01:03<02:43,  1.25s/it]
Epoch 22, training loss 0.100:  29%|██▊       | 52/182 [01:04<02:40,  1.23s/it]
Epoch 22, training loss 0.099:  29%|██▊       | 52/182 [01:04<02:42,  1.25s/it]
Epoch 22, training loss 0.099:  29%|██▉       | 53/182 [01:05<02:39,  1.23s/it]
Epoch 22, training loss 0.102:  29%|██▉       | 53/182 [01:05<02:40,  1.24s/it]
Epoch 22, training loss 0.102:  30%|██▉       | 54/182 [01:06<02:37,  1.23s/it]
Epoch 22, training loss 0.101:  30%|██▉       | 54/182 [01:07<02:39,  1.24s/it]
Epoch 22, training loss 0.101:  30%|███       | 55/182 [01:07<02:36,  1.23s/it]
Epoch 22, training loss 0.101:  30%|███       | 55/182 [01:08<02:37,  1.24s/it]
Epoch 22, training loss 0.101:  31%|███       | 56/182 [01:08<02:34,  1.23s/it]
Epoch 22, training loss 0.100:  31%|███       | 56/182 [01:09<02:36,  1.24s/it]
Epoch 22, training loss 0.100:  31%|███▏      | 57/182 [01:09<02:33,  1.23s/it]
Epoch 22, training loss 0.099:  31%|███▏      | 57/182 [01:10<02:35,  1.24s/it]
Epoch 22, training loss 0.099:  32%|███▏      | 58/182 [01:11<02:32,  1.23s/it]
Epoch 22, training loss 0.100:  32%|███▏      | 58/182 [01:11<02:33,  1.24s/it]
Epoch 22, training loss 0.100:  32%|███▏      | 59/182 [01:12<02:30,  1.22s/it]
Epoch 22, training loss 0.102:  32%|███▏      | 59/182 [01:12<02:31,  1.24s/it]
Epoch 22, training loss 0.102:  33%|███▎      | 60/182 [01:13<02:29,  1.22s/it]
Epoch 22, training loss 0.101:  33%|███▎      | 60/182 [01:14<02:30,  1.23s/it]
Epoch 22, training loss 0.101:  34%|███▎      | 61/182 [01:14<02:27,  1.22s/it]
Epoch 22, training loss 0.100:  34%|███▎      | 61/182 [01:15<02:29,  1.23s/it]
Epoch 22, training loss 0.100:  34%|███▍      | 62/182 [01:15<02:26,  1.22s/it]
Epoch 22, training loss 0.106:  34%|███▍      | 62/182 [01:16<02:27,  1.23s/it]
Epoch 22, training loss 0.106:  35%|███▍      | 63/182 [01:16<02:25,  1.22s/it]
Epoch 22, training loss 0.108:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 22, training loss 0.108:  35%|███▌      | 64/182 [01:18<02:23,  1.22s/it]
Epoch 22, training loss 0.110:  35%|███▌      | 64/182 [01:18<02:25,  1.23s/it]
Epoch 22, training loss 0.110:  36%|███▌      | 65/182 [01:19<02:22,  1.22s/it]
Epoch 22, training loss 0.108:  36%|███▌      | 65/182 [01:19<02:23,  1.23s/it]
Epoch 22, training loss 0.108:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 22, training loss 0.107:  36%|███▋      | 66/182 [01:21<02:22,  1.23s/it]
Epoch 22, training loss 0.107:  37%|███▋      | 67/182 [01:21<02:19,  1.22s/it]
Epoch 22, training loss 0.107:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 22, training loss 0.107:  37%|███▋      | 68/182 [01:22<02:18,  1.22s/it]
Epoch 22, training loss 0.106:  37%|███▋      | 68/182 [01:23<02:19,  1.23s/it]
Epoch 22, training loss 0.106:  38%|███▊      | 69/182 [01:23<02:17,  1.21s/it]
Epoch 22, training loss 0.107:  38%|███▊      | 69/182 [01:24<02:18,  1.22s/it]
Epoch 22, training loss 0.107:  38%|███▊      | 70/182 [01:24<02:15,  1.21s/it]
Epoch 22, training loss 0.106:  38%|███▊      | 70/182 [01:25<02:16,  1.22s/it]
Epoch 22, training loss 0.106:  39%|███▉      | 71/182 [01:26<02:14,  1.21s/it]
Epoch 22, training loss 0.105:  39%|███▉      | 71/182 [01:26<02:15,  1.22s/it]
Epoch 22, training loss 0.105:  40%|███▉      | 72/182 [01:27<02:13,  1.21s/it]
Epoch 22, training loss 0.106:  40%|███▉      | 72/182 [01:27<02:14,  1.22s/it]
Epoch 22, training loss 0.106:  40%|████      | 73/182 [01:28<02:12,  1.21s/it]
Epoch 22, training loss 0.104:  40%|████      | 73/182 [01:29<02:13,  1.22s/it]
Epoch 22, training loss 0.104:  41%|████      | 74/182 [01:29<02:10,  1.21s/it]
Epoch 22, training loss 0.106:  41%|████      | 74/182 [01:30<02:11,  1.22s/it]
Epoch 22, training loss 0.106:  41%|████      | 75/182 [01:30<02:09,  1.21s/it]
Epoch 22, training loss 0.105:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 22, training loss 0.105:  42%|████▏     | 76/182 [01:31<02:07,  1.21s/it]
Epoch 22, training loss 0.106:  42%|████▏     | 76/182 [01:32<02:08,  1.21s/it]
Epoch 22, training loss 0.106:  42%|████▏     | 77/182 [01:32<02:06,  1.20s/it]
Epoch 22, training loss 0.106:  42%|████▏     | 77/182 [01:33<02:07,  1.21s/it]
Epoch 22, training loss 0.106:  43%|████▎     | 78/182 [01:33<02:05,  1.20s/it]
Epoch 22, training loss 0.106:  43%|████▎     | 78/182 [01:34<02:05,  1.21s/it]
Epoch 22, training loss 0.106:  43%|████▎     | 79/182 [01:34<02:03,  1.20s/it]
Epoch 22, training loss 0.105:  43%|████▎     | 79/182 [01:35<02:04,  1.21s/it]
Epoch 22, training loss 0.105:  44%|████▍     | 80/182 [01:36<02:02,  1.20s/it]
Epoch 22, training loss 0.105:  44%|████▍     | 80/182 [01:36<02:03,  1.21s/it]
Epoch 22, training loss 0.105:  45%|████▍     | 81/182 [01:37<02:01,  1.20s/it]
Epoch 22, training loss 0.105:  45%|████▍     | 81/182 [01:37<02:02,  1.21s/it]
Epoch 22, training loss 0.105:  45%|████▌     | 82/182 [01:38<01:59,  1.20s/it]
Epoch 22, training loss 0.106:  45%|████▌     | 82/182 [01:38<02:00,  1.21s/it]
Epoch 22, training loss 0.106:  46%|████▌     | 83/182 [01:39<01:58,  1.20s/it]
Epoch 22, training loss 0.106:  46%|████▌     | 83/182 [01:40<01:59,  1.21s/it]
Epoch 22, training loss 0.106:  46%|████▌     | 84/182 [01:40<01:57,  1.20s/it]
Epoch 22, training loss 0.106:  46%|████▌     | 84/182 [01:41<01:58,  1.21s/it]
Epoch 22, training loss 0.106:  47%|████▋     | 85/182 [01:41<01:56,  1.20s/it]
Epoch 22, training loss 0.106:  47%|████▋     | 85/182 [01:42<01:56,  1.21s/it]
Epoch 22, training loss 0.106:  47%|████▋     | 86/182 [01:43<01:54,  1.20s/it]
Epoch 22, training loss 0.106:  47%|████▋     | 86/182 [01:43<01:55,  1.21s/it]
Epoch 22, training loss 0.106:  48%|████▊     | 87/182 [01:44<01:53,  1.20s/it]
Epoch 22, training loss 0.105:  48%|████▊     | 87/182 [01:44<01:54,  1.21s/it]
Epoch 22, training loss 0.105:  48%|████▊     | 88/182 [01:45<01:52,  1.20s/it]
Epoch 22, training loss 0.106:  48%|████▊     | 88/182 [01:45<01:53,  1.20s/it]
Epoch 22, training loss 0.106:  49%|████▉     | 89/182 [01:46<01:51,  1.20s/it]
Epoch 22, training loss 0.105:  49%|████▉     | 89/182 [01:47<01:51,  1.20s/it]
Epoch 22, training loss 0.105:  49%|████▉     | 90/182 [01:47<01:49,  1.20s/it]
Epoch 22, training loss 0.105:  49%|████▉     | 90/182 [01:48<01:50,  1.20s/it]
Epoch 22, training loss 0.105:  50%|█████     | 91/182 [01:48<01:48,  1.20s/it]
Epoch 22, training loss 0.105:  50%|█████     | 91/182 [01:49<01:49,  1.20s/it]
Epoch 22, training loss 0.105:  51%|█████     | 92/182 [01:49<01:47,  1.20s/it]
Epoch 22, training loss 0.104:  51%|█████     | 92/182 [01:50<01:48,  1.20s/it]
Epoch 22, training loss 0.104:  51%|█████     | 93/182 [01:51<01:46,  1.19s/it]
Epoch 22, training loss 0.103:  51%|█████     | 93/182 [01:51<01:46,  1.20s/it]
Epoch 22, training loss 0.103:  52%|█████▏    | 94/182 [01:52<01:45,  1.19s/it]
Epoch 22, training loss 0.105:  52%|█████▏    | 94/182 [01:52<01:45,  1.20s/it]
Epoch 22, training loss 0.105:  52%|█████▏    | 95/182 [01:53<01:43,  1.19s/it]
Epoch 22, training loss 0.104:  52%|█████▏    | 95/182 [01:54<01:44,  1.20s/it]
Epoch 22, training loss 0.104:  53%|█████▎    | 96/182 [01:54<01:42,  1.19s/it]
Epoch 22, training loss 0.105:  53%|█████▎    | 96/182 [01:55<01:43,  1.20s/it]
Epoch 22, training loss 0.105:  53%|█████▎    | 97/182 [01:55<01:41,  1.19s/it]
Epoch 22, training loss 0.104:  53%|█████▎    | 97/182 [01:56<01:42,  1.20s/it]
Epoch 22, training loss 0.104:  54%|█████▍    | 98/182 [01:56<01:40,  1.19s/it]
Epoch 22, training loss 0.103:  54%|█████▍    | 98/182 [01:57<01:40,  1.20s/it]
Epoch 22, training loss 0.103:  54%|█████▍    | 99/182 [01:58<01:38,  1.19s/it]
Epoch 22, training loss 0.104:  54%|█████▍    | 99/182 [01:58<01:39,  1.20s/it]
Epoch 22, training loss 0.104:  55%|█████▍    | 100/182 [01:59<01:37,  1.19s/it]
Epoch 22, training loss 0.105:  55%|█████▍    | 100/182 [01:59<01:38,  1.20s/it]
Epoch 22, training loss 0.105:  55%|█████▌    | 101/182 [02:00<01:36,  1.19s/it]
Epoch 22, training loss 0.105:  55%|█████▌    | 101/182 [02:01<01:37,  1.20s/it]
Epoch 22, training loss 0.105:  56%|█████▌    | 102/182 [02:01<01:35,  1.19s/it]
Epoch 22, training loss 0.105:  56%|█████▌    | 102/182 [02:02<01:35,  1.20s/it]
Epoch 22, training loss 0.105:  57%|█████▋    | 103/182 [02:02<01:34,  1.19s/it]
Epoch 22, training loss 0.104:  57%|█████▋    | 103/182 [02:03<01:34,  1.20s/it]
Epoch 22, training loss 0.104:  57%|█████▋    | 104/182 [02:03<01:32,  1.19s/it]
Epoch 22, training loss 0.104:  57%|█████▋    | 104/182 [02:04<01:33,  1.20s/it]
Epoch 22, training loss 0.104:  58%|█████▊    | 105/182 [02:04<01:31,  1.19s/it]
Epoch 22, training loss 0.104:  58%|█████▊    | 105/182 [02:05<01:32,  1.20s/it]
Epoch 22, training loss 0.104:  58%|█████▊    | 106/182 [02:06<01:30,  1.19s/it]
Epoch 22, training loss 0.105:  58%|█████▊    | 106/182 [02:06<01:30,  1.19s/it]
Epoch 22, training loss 0.105:  59%|█████▉    | 107/182 [02:07<01:29,  1.19s/it]
Epoch 22, training loss 0.104:  59%|█████▉    | 107/182 [02:07<01:29,  1.19s/it]
Epoch 22, training loss 0.104:  59%|█████▉    | 108/182 [02:08<01:27,  1.19s/it]
Epoch 22, training loss 0.104:  59%|█████▉    | 108/182 [02:08<01:28,  1.19s/it]
Epoch 22, training loss 0.104:  60%|█████▉    | 109/182 [02:09<01:26,  1.19s/it]
Epoch 22, training loss 0.103:  60%|█████▉    | 109/182 [02:10<01:27,  1.19s/it]
Epoch 22, training loss 0.103:  60%|██████    | 110/182 [02:10<01:25,  1.19s/it]
Epoch 22, training loss 0.104:  60%|██████    | 110/182 [02:11<01:25,  1.19s/it]
Epoch 22, training loss 0.104:  61%|██████    | 111/182 [02:11<01:24,  1.19s/it]
Epoch 22, training loss 0.104:  61%|██████    | 111/182 [02:12<01:24,  1.19s/it]
Epoch 22, training loss 0.104:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 22, training loss 0.105:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 22, training loss 0.105:  62%|██████▏   | 113/182 [02:14<01:21,  1.19s/it]
Epoch 22, training loss 0.105:  62%|██████▏   | 113/182 [02:15<01:22,  1.20s/it]
Epoch 22, training loss 0.105:  63%|██████▎   | 114/182 [02:15<01:20,  1.19s/it]
Epoch 22, training loss 0.105:  63%|██████▎   | 114/182 [02:16<01:21,  1.19s/it]
Epoch 22, training loss 0.105:  63%|██████▎   | 115/182 [02:16<01:19,  1.19s/it]
Epoch 22, training loss 0.104:  63%|██████▎   | 115/182 [02:17<01:20,  1.19s/it]
Epoch 22, training loss 0.104:  64%|██████▎   | 116/182 [02:17<01:18,  1.19s/it]
Epoch 22, training loss 0.105:  64%|██████▎   | 116/182 [02:18<01:18,  1.19s/it]
Epoch 22, training loss 0.105:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 22, training loss 0.105:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 22, training loss 0.105:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 22, training loss 0.106:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 22, training loss 0.106:  65%|██████▌   | 119/182 [02:21<01:14,  1.19s/it]
Epoch 22, training loss 0.106:  65%|██████▌   | 119/182 [02:22<01:15,  1.19s/it]
Epoch 22, training loss 0.106:  66%|██████▌   | 120/182 [02:22<01:13,  1.19s/it]
Epoch 22, training loss 0.106:  66%|██████▌   | 120/182 [02:23<01:14,  1.19s/it]
Epoch 22, training loss 0.106:  66%|██████▋   | 121/182 [02:23<01:12,  1.19s/it]
Epoch 22, training loss 0.105:  66%|██████▋   | 121/182 [02:24<01:12,  1.19s/it]
Epoch 22, training loss 0.105:  67%|██████▋   | 122/182 [02:25<01:11,  1.19s/it]
Epoch 22, training loss 0.106:  67%|██████▋   | 122/182 [02:25<01:11,  1.19s/it]
Epoch 22, training loss 0.106:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 22, training loss 0.106:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 22, training loss 0.106:  68%|██████▊   | 124/182 [02:27<01:08,  1.19s/it]
Epoch 22, training loss 0.105:  68%|██████▊   | 124/182 [02:28<01:09,  1.19s/it]
Epoch 22, training loss 0.105:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 22, training loss 0.105:  69%|██████▊   | 125/182 [02:29<01:08,  1.19s/it]
Epoch 22, training loss 0.105:  69%|██████▉   | 126/182 [02:29<01:06,  1.19s/it]
Epoch 22, training loss 0.104:  69%|██████▉   | 126/182 [02:30<01:06,  1.19s/it]
Epoch 22, training loss 0.104:  70%|██████▉   | 127/182 [02:30<01:05,  1.19s/it]
Epoch 22, training loss 0.104:  70%|██████▉   | 127/182 [02:31<01:05,  1.19s/it]
Epoch 22, training loss 0.104:  70%|███████   | 128/182 [02:31<01:04,  1.19s/it]
Epoch 22, training loss 0.104:  70%|███████   | 128/182 [02:32<01:04,  1.19s/it]
Epoch 22, training loss 0.104:  71%|███████   | 129/182 [02:33<01:02,  1.19s/it]
Epoch 22, training loss 0.104:  71%|███████   | 129/182 [02:33<01:03,  1.19s/it]
Epoch 22, training loss 0.104:  71%|███████▏  | 130/182 [02:34<01:01,  1.19s/it]
Epoch 22, training loss 0.104:  71%|███████▏  | 130/182 [02:34<01:01,  1.19s/it]
Epoch 22, training loss 0.104:  72%|███████▏  | 131/182 [02:35<01:00,  1.19s/it]
Epoch 22, training loss 0.103:  72%|███████▏  | 131/182 [02:36<01:00,  1.19s/it]
Epoch 22, training loss 0.103:  73%|███████▎  | 132/182 [02:36<00:59,  1.19s/it]
Epoch 22, training loss 0.103:  73%|███████▎  | 132/182 [02:37<00:59,  1.19s/it]
Epoch 22, training loss 0.103:  73%|███████▎  | 133/182 [02:37<00:58,  1.19s/it]
Epoch 22, training loss 0.103:  73%|███████▎  | 133/182 [02:38<00:58,  1.19s/it]
Epoch 22, training loss 0.103:  74%|███████▎  | 134/182 [02:39<00:57,  1.19s/it]
Epoch 22, training loss 0.104:  74%|███████▎  | 134/182 [02:39<00:57,  1.19s/it]
Epoch 22, training loss 0.104:  74%|███████▍  | 135/182 [02:40<00:55,  1.19s/it]
Epoch 22, training loss 0.104:  74%|███████▍  | 135/182 [02:41<00:56,  1.19s/it]
Epoch 22, training loss 0.104:  75%|███████▍  | 136/182 [02:41<00:54,  1.19s/it]
Epoch 22, training loss 0.103:  75%|███████▍  | 136/182 [02:42<00:54,  1.19s/it]
Epoch 22, training loss 0.103:  75%|███████▌  | 137/182 [02:42<00:53,  1.19s/it]
Epoch 22, training loss 0.104:  75%|███████▌  | 137/182 [02:43<00:53,  1.19s/it]
Epoch 22, training loss 0.104:  76%|███████▌  | 138/182 [02:43<00:52,  1.19s/it]
Epoch 22, training loss 0.103:  76%|███████▌  | 138/182 [02:44<00:52,  1.19s/it]
Epoch 22, training loss 0.103:  76%|███████▋  | 139/182 [02:45<00:51,  1.19s/it]
Epoch 22, training loss 0.103:  76%|███████▋  | 139/182 [02:45<00:51,  1.19s/it]
Epoch 22, training loss 0.103:  77%|███████▋  | 140/182 [02:46<00:49,  1.19s/it]
Epoch 22, training loss 0.103:  77%|███████▋  | 140/182 [02:46<00:50,  1.19s/it]
Epoch 22, training loss 0.103:  77%|███████▋  | 141/182 [02:47<00:48,  1.19s/it]
Epoch 22, training loss 0.103:  77%|███████▋  | 141/182 [02:48<00:48,  1.19s/it]
Epoch 22, training loss 0.103:  78%|███████▊  | 142/182 [02:48<00:47,  1.19s/it]
Epoch 22, training loss 0.102:  78%|███████▊  | 142/182 [02:49<00:47,  1.19s/it]
Epoch 22, training loss 0.102:  79%|███████▊  | 143/182 [02:49<00:46,  1.19s/it]
Epoch 22, training loss 0.106:  79%|███████▊  | 143/182 [02:50<00:46,  1.19s/it]
Epoch 22, training loss 0.106:  79%|███████▉  | 144/182 [02:50<00:45,  1.19s/it]
Epoch 22, training loss 0.106:  79%|███████▉  | 144/182 [02:51<00:45,  1.19s/it]
Epoch 22, training loss 0.106:  80%|███████▉  | 145/182 [02:51<00:43,  1.19s/it]
Epoch 22, training loss 0.106:  80%|███████▉  | 145/182 [02:52<00:44,  1.19s/it]
Epoch 22, training loss 0.106:  80%|████████  | 146/182 [02:53<00:42,  1.19s/it]
Epoch 22, training loss 0.106:  80%|████████  | 146/182 [02:53<00:42,  1.19s/it]
Epoch 22, training loss 0.106:  81%|████████  | 147/182 [02:54<00:41,  1.19s/it]
Epoch 22, training loss 0.106:  81%|████████  | 147/182 [02:54<00:41,  1.19s/it]
Epoch 22, training loss 0.106:  81%|████████▏ | 148/182 [02:55<00:40,  1.19s/it]
Epoch 22, training loss 0.105:  81%|████████▏ | 148/182 [02:55<00:40,  1.19s/it]
Epoch 22, training loss 0.105:  82%|████████▏ | 149/182 [02:56<00:39,  1.18s/it]
Epoch 22, training loss 0.105:  82%|████████▏ | 149/182 [02:57<00:39,  1.19s/it]
Epoch 22, training loss 0.105:  82%|████████▏ | 150/182 [02:57<00:37,  1.18s/it]
Epoch 22, training loss 0.105:  82%|████████▏ | 150/182 [02:58<00:38,  1.19s/it]
Epoch 22, training loss 0.105:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 22, training loss 0.104:  83%|████████▎ | 151/182 [02:59<00:36,  1.19s/it]
Epoch 22, training loss 0.104:  84%|████████▎ | 152/182 [02:59<00:35,  1.18s/it]
Epoch 22, training loss 0.105:  84%|████████▎ | 152/182 [03:00<00:35,  1.19s/it]
Epoch 22, training loss 0.105:  84%|████████▍ | 153/182 [03:01<00:34,  1.18s/it]
Epoch 22, training loss 0.106:  84%|████████▍ | 153/182 [03:01<00:34,  1.19s/it]
Epoch 22, training loss 0.106:  85%|████████▍ | 154/182 [03:02<00:33,  1.18s/it]
Epoch 22, training loss 0.106:  85%|████████▍ | 154/182 [03:02<00:33,  1.19s/it]
Epoch 22, training loss 0.106:  85%|████████▌ | 155/182 [03:03<00:31,  1.18s/it]
Epoch 22, training loss 0.108:  85%|████████▌ | 155/182 [03:03<00:32,  1.19s/it]
Epoch 22, training loss 0.108:  86%|████████▌ | 156/182 [03:04<00:30,  1.18s/it]
Epoch 22, training loss 0.108:  86%|████████▌ | 156/182 [03:04<00:30,  1.19s/it]
Epoch 22, training loss 0.108:  86%|████████▋ | 157/182 [03:05<00:29,  1.18s/it]
Epoch 22, training loss 0.107:  86%|████████▋ | 157/182 [03:06<00:29,  1.18s/it]
Epoch 22, training loss 0.107:  87%|████████▋ | 158/182 [03:06<00:28,  1.18s/it]
Epoch 22, training loss 0.107:  87%|████████▋ | 158/182 [03:07<00:28,  1.18s/it]
Epoch 22, training loss 0.107:  87%|████████▋ | 159/182 [03:07<00:27,  1.18s/it]
Epoch 22, training loss 0.109:  87%|████████▋ | 159/182 [03:08<00:27,  1.18s/it]
Epoch 22, training loss 0.109:  88%|████████▊ | 160/182 [03:08<00:25,  1.18s/it]
Epoch 22, training loss 0.109:  88%|████████▊ | 160/182 [03:09<00:26,  1.18s/it]
Epoch 22, training loss 0.109:  88%|████████▊ | 161/182 [03:09<00:24,  1.18s/it]
Epoch 22, training loss 0.110:  88%|████████▊ | 161/182 [03:10<00:24,  1.18s/it]
Epoch 22, training loss 0.110:  89%|████████▉ | 162/182 [03:10<00:23,  1.18s/it]
Epoch 22, training loss 0.110:  89%|████████▉ | 162/182 [03:11<00:23,  1.18s/it]
Epoch 22, training loss 0.110:  90%|████████▉ | 163/182 [03:12<00:22,  1.18s/it]
Epoch 22, training loss 0.110:  90%|████████▉ | 163/182 [03:12<00:22,  1.18s/it]
Epoch 22, training loss 0.110:  90%|█████████ | 164/182 [03:13<00:21,  1.18s/it]
Epoch 22, training loss 0.110:  90%|█████████ | 164/182 [03:13<00:21,  1.18s/it]
Epoch 22, training loss 0.110:  91%|█████████ | 165/182 [03:14<00:20,  1.18s/it]
Epoch 22, training loss 0.110:  91%|█████████ | 165/182 [03:14<00:20,  1.18s/it]
Epoch 22, training loss 0.110:  91%|█████████ | 166/182 [03:15<00:18,  1.18s/it]
Epoch 22, training loss 0.110:  91%|█████████ | 166/182 [03:15<00:18,  1.18s/it]
Epoch 22, training loss 0.110:  92%|█████████▏| 167/182 [03:16<00:17,  1.18s/it]
Epoch 22, training loss 0.110:  92%|█████████▏| 167/182 [03:16<00:17,  1.18s/it]
Epoch 22, training loss 0.110:  92%|█████████▏| 168/182 [03:17<00:16,  1.18s/it]
Epoch 22, training loss 0.110:  92%|█████████▏| 168/182 [03:18<00:16,  1.18s/it]
Epoch 22, training loss 0.110:  93%|█████████▎| 169/182 [03:18<00:15,  1.18s/it]
Epoch 22, training loss 0.110:  93%|█████████▎| 169/182 [03:19<00:15,  1.18s/it]
Epoch 22, training loss 0.110:  93%|█████████▎| 170/182 [03:19<00:14,  1.17s/it]
Epoch 22, training loss 0.110:  93%|█████████▎| 170/182 [03:20<00:14,  1.18s/it]
Epoch 22, training loss 0.110:  94%|█████████▍| 171/182 [03:20<00:12,  1.17s/it]
Epoch 22, training loss 0.110:  94%|█████████▍| 171/182 [03:21<00:12,  1.18s/it]
Epoch 22, training loss 0.110:  95%|█████████▍| 172/182 [03:21<00:11,  1.17s/it]
Epoch 22, training loss 0.110:  95%|█████████▍| 172/182 [03:22<00:11,  1.18s/it]
Epoch 22, training loss 0.110:  95%|█████████▌| 173/182 [03:23<00:10,  1.17s/it]
Epoch 22, training loss 0.110:  95%|█████████▌| 173/182 [03:23<00:10,  1.18s/it]
Epoch 22, training loss 0.110:  96%|█████████▌| 174/182 [03:24<00:09,  1.17s/it]
Epoch 22, training loss 0.109:  96%|█████████▌| 174/182 [03:24<00:09,  1.18s/it]
Epoch 22, training loss 0.109:  96%|█████████▌| 175/182 [03:25<00:08,  1.17s/it]
Epoch 22, training loss 0.109:  96%|█████████▌| 175/182 [03:25<00:08,  1.18s/it]
Epoch 22, training loss 0.109:  97%|█████████▋| 176/182 [03:26<00:07,  1.17s/it]
Epoch 22, training loss 0.110:  97%|█████████▋| 176/182 [03:27<00:07,  1.18s/it]
Epoch 22, training loss 0.110:  97%|█████████▋| 177/182 [03:27<00:05,  1.17s/it]
Epoch 22, training loss 0.111:  97%|█████████▋| 177/182 [03:28<00:05,  1.18s/it]
Epoch 22, training loss 0.111:  98%|█████████▊| 178/182 [03:28<00:04,  1.17s/it]
Epoch 22, training loss 0.111:  98%|█████████▊| 178/182 [03:29<00:04,  1.18s/it]
Epoch 22, training loss 0.111:  98%|█████████▊| 179/182 [03:29<00:03,  1.17s/it]
Epoch 22, training loss 0.111:  98%|█████████▊| 179/182 [03:30<00:03,  1.18s/it]
Epoch 22, training loss 0.111:  99%|█████████▉| 180/182 [03:30<00:02,  1.17s/it]
Epoch 22, training loss 0.111:  99%|█████████▉| 180/182 [03:31<00:02,  1.18s/it]
Epoch 22, training loss 0.111:  99%|█████████▉| 181/182 [03:32<00:01,  1.17s/it]
Epoch 22, training loss 0.111:  99%|█████████▉| 181/182 [03:32<00:01,  1.17s/it]
Epoch 22, training loss 0.111: 100%|██████████| 182/182 [03:33<00:00,  1.17s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.543:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.543:   1%|          | 1/90 [00:04<06:31,  4.40s/it]
Epoch 22, validation pixAcc: 0.975, mIoU: 0.713:   1%|          | 1/90 [00:04<07:06,  4.80s/it]
Epoch 22, validation pixAcc: 0.975, mIoU: 0.713:   2%|▏         | 2/90 [00:04<03:31,  2.40s/it]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.789:   2%|▏         | 2/90 [00:05<03:49,  2.61s/it]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.789:   3%|▎         | 3/90 [00:05<02:31,  1.74s/it]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.797:   3%|▎         | 3/90 [00:05<02:44,  1.89s/it]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.797:   4%|▍         | 4/90 [00:05<02:01,  1.42s/it]
Epoch 22, validation pixAcc: 0.980, mIoU: 0.901:   4%|▍         | 4/90 [00:06<02:10,  1.52s/it]
Epoch 22, validation pixAcc: 0.980, mIoU: 0.901:   6%|▌         | 5/90 [00:06<01:43,  1.22s/it]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.901:   6%|▌         | 5/90 [00:06<01:51,  1.31s/it]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.901:   7%|▋         | 6/90 [00:06<01:31,  1.09s/it]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.896:   7%|▋         | 6/90 [00:06<01:37,  1.16s/it]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.896:   8%|▊         | 7/90 [00:06<01:22,  1.00it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.894:   8%|▊         | 7/90 [00:07<01:27,  1.06s/it]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.894:   9%|▉         | 8/90 [00:07<01:16,  1.08it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.896:   9%|▉         | 8/90 [00:07<01:20,  1.02it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.896:  10%|█         | 9/90 [00:07<01:10,  1.14it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.907:  10%|█         | 9/90 [00:08<01:14,  1.09it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.907:  11%|█         | 10/90 [00:08<01:06,  1.21it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.904:  11%|█         | 10/90 [00:08<01:09,  1.15it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.904:  12%|█▏        | 11/90 [00:08<01:02,  1.26it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.901:  12%|█▏        | 11/90 [00:09<01:05,  1.20it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.901:  13%|█▎        | 12/90 [00:09<00:59,  1.31it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.902:  13%|█▎        | 12/90 [00:09<01:02,  1.25it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.902:  14%|█▍        | 13/90 [00:09<00:56,  1.35it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.910:  14%|█▍        | 13/90 [00:10<00:59,  1.30it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.910:  16%|█▌        | 14/90 [00:10<00:54,  1.40it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.910:  16%|█▌        | 14/90 [00:10<00:56,  1.34it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.910:  17%|█▋        | 15/90 [00:10<00:52,  1.43it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.915:  17%|█▋        | 15/90 [00:10<00:54,  1.37it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.915:  18%|█▊        | 16/90 [00:10<00:50,  1.46it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.913:  18%|█▊        | 16/90 [00:11<00:52,  1.41it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.913:  19%|█▉        | 17/90 [00:11<00:48,  1.50it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.911:  19%|█▉        | 17/90 [00:11<00:50,  1.44it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.911:  20%|██        | 18/90 [00:11<00:47,  1.52it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.906:  20%|██        | 18/90 [00:12<00:48,  1.47it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.906:  21%|██        | 19/90 [00:12<00:45,  1.55it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.902:  21%|██        | 19/90 [00:12<00:47,  1.50it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.902:  22%|██▏       | 20/90 [00:12<00:44,  1.58it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.905:  22%|██▏       | 20/90 [00:13<00:45,  1.53it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.905:  23%|██▎       | 21/90 [00:13<00:43,  1.60it/s]
Epoch 22, validation pixAcc: 0.976, mIoU: 0.902:  23%|██▎       | 21/90 [00:13<00:44,  1.55it/s]
Epoch 22, validation pixAcc: 0.976, mIoU: 0.902:  24%|██▍       | 22/90 [00:13<00:41,  1.62it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.904:  24%|██▍       | 22/90 [00:13<00:43,  1.58it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.904:  26%|██▌       | 23/90 [00:13<00:40,  1.65it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.904:  26%|██▌       | 23/90 [00:14<00:41,  1.60it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.904:  27%|██▋       | 24/90 [00:14<00:39,  1.67it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.904:  27%|██▋       | 24/90 [00:14<00:40,  1.62it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.904:  28%|██▊       | 25/90 [00:14<00:38,  1.68it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.904:  28%|██▊       | 25/90 [00:15<00:39,  1.64it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.904:  29%|██▉       | 26/90 [00:15<00:37,  1.70it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.906:  29%|██▉       | 26/90 [00:15<00:38,  1.65it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.906:  30%|███       | 27/90 [00:15<00:36,  1.72it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.908:  30%|███       | 27/90 [00:16<00:37,  1.68it/s]
Epoch 22, validation pixAcc: 0.977, mIoU: 0.908:  31%|███       | 28/90 [00:16<00:35,  1.74it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.907:  31%|███       | 28/90 [00:16<00:36,  1.69it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.907:  32%|███▏      | 29/90 [00:16<00:34,  1.75it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.908:  32%|███▏      | 29/90 [00:16<00:35,  1.71it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.908:  33%|███▎      | 30/90 [00:16<00:33,  1.77it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.910:  33%|███▎      | 30/90 [00:17<00:34,  1.73it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.910:  34%|███▍      | 31/90 [00:17<00:33,  1.78it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.911:  34%|███▍      | 31/90 [00:17<00:33,  1.74it/s]
Epoch 22, validation pixAcc: 0.978, mIoU: 0.911:  36%|███▌      | 32/90 [00:17<00:32,  1.80it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.912:  36%|███▌      | 32/90 [00:18<00:33,  1.75it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.912:  37%|███▋      | 33/90 [00:18<00:31,  1.81it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.913:  37%|███▋      | 33/90 [00:18<00:32,  1.76it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.913:  38%|███▊      | 34/90 [00:18<00:30,  1.82it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.912:  38%|███▊      | 34/90 [00:19<00:31,  1.78it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.912:  39%|███▉      | 35/90 [00:19<00:30,  1.83it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.913:  39%|███▉      | 35/90 [00:19<00:30,  1.79it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.913:  40%|████      | 36/90 [00:19<00:29,  1.84it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.913:  40%|████      | 36/90 [00:20<00:30,  1.80it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.913:  41%|████      | 37/90 [00:20<00:28,  1.85it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.913:  41%|████      | 37/90 [00:20<00:29,  1.81it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.913:  42%|████▏     | 38/90 [00:20<00:28,  1.86it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.914:  42%|████▏     | 38/90 [00:20<00:28,  1.82it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.914:  43%|████▎     | 39/90 [00:20<00:27,  1.87it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.915:  43%|████▎     | 39/90 [00:21<00:27,  1.83it/s]
Epoch 22, validation pixAcc: 0.979, mIoU: 0.915:  44%|████▍     | 40/90 [00:21<00:26,  1.88it/s]
Epoch 22, validation pixAcc: 0.980, mIoU: 0.915:  44%|████▍     | 40/90 [00:21<00:27,  1.85it/s]
Epoch 22, validation pixAcc: 0.980, mIoU: 0.915:  46%|████▌     | 41/90 [00:21<00:25,  1.89it/s]
Epoch 22, validation pixAcc: 0.980, mIoU: 0.915:  46%|████▌     | 41/90 [00:22<00:26,  1.86it/s]
Epoch 22, validation pixAcc: 0.980, mIoU: 0.915:  47%|████▋     | 42/90 [00:22<00:25,  1.90it/s]
Epoch 22, validation pixAcc: 0.980, mIoU: 0.916:  47%|████▋     | 42/90 [00:22<00:25,  1.86it/s]
Epoch 22, validation pixAcc: 0.980, mIoU: 0.916:  48%|████▊     | 43/90 [00:22<00:24,  1.91it/s]
Epoch 22, validation pixAcc: 0.980, mIoU: 0.917:  48%|████▊     | 43/90 [00:22<00:25,  1.87it/s]
Epoch 22, validation pixAcc: 0.980, mIoU: 0.917:  49%|████▉     | 44/90 [00:22<00:24,  1.91it/s]
Epoch 22, validation pixAcc: 0.980, mIoU: 0.917:  49%|████▉     | 44/90 [00:23<00:24,  1.88it/s]
Epoch 22, validation pixAcc: 0.980, mIoU: 0.917:  50%|█████     | 45/90 [00:23<00:23,  1.92it/s]
Epoch 22, validation pixAcc: 0.980, mIoU: 0.917:  50%|█████     | 45/90 [00:23<00:23,  1.89it/s]
Epoch 22, validation pixAcc: 0.980, mIoU: 0.917:  51%|█████     | 46/90 [00:23<00:22,  1.93it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  51%|█████     | 46/90 [00:24<00:23,  1.90it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  52%|█████▏    | 47/90 [00:24<00:22,  1.94it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  52%|█████▏    | 47/90 [00:24<00:22,  1.90it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  53%|█████▎    | 48/90 [00:24<00:21,  1.94it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.916:  53%|█████▎    | 48/90 [00:25<00:22,  1.91it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.916:  54%|█████▍    | 49/90 [00:25<00:21,  1.95it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  54%|█████▍    | 49/90 [00:25<00:21,  1.92it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  56%|█████▌    | 50/90 [00:25<00:20,  1.96it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  56%|█████▌    | 50/90 [00:25<00:20,  1.93it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  57%|█████▋    | 51/90 [00:25<00:19,  1.97it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.918:  57%|█████▋    | 51/90 [00:26<00:20,  1.93it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.918:  58%|█████▊    | 52/90 [00:26<00:19,  1.97it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.918:  58%|█████▊    | 52/90 [00:26<00:19,  1.94it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.918:  59%|█████▉    | 53/90 [00:26<00:18,  1.98it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  59%|█████▉    | 53/90 [00:27<00:19,  1.95it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  60%|██████    | 54/90 [00:27<00:18,  1.98it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  60%|██████    | 54/90 [00:27<00:18,  1.95it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  61%|██████    | 55/90 [00:27<00:17,  1.99it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  61%|██████    | 55/90 [00:28<00:17,  1.96it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  62%|██████▏   | 56/90 [00:28<00:17,  1.99it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.918:  62%|██████▏   | 56/90 [00:28<00:17,  1.96it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.918:  63%|██████▎   | 57/90 [00:28<00:16,  2.00it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  63%|██████▎   | 57/90 [00:29<00:16,  1.97it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  64%|██████▍   | 58/90 [00:29<00:16,  2.00it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  64%|██████▍   | 58/90 [00:29<00:16,  1.97it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  66%|██████▌   | 59/90 [00:29<00:15,  2.00it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  66%|██████▌   | 59/90 [00:29<00:15,  1.97it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.917:  67%|██████▋   | 60/90 [00:29<00:14,  2.01it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.918:  67%|██████▋   | 60/90 [00:30<00:15,  1.98it/s]
Epoch 22, validation pixAcc: 0.981, mIoU: 0.918:  68%|██████▊   | 61/90 [00:30<00:14,  2.01it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.918:  68%|██████▊   | 61/90 [00:30<00:14,  1.98it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.918:  69%|██████▉   | 62/90 [00:30<00:13,  2.02it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.919:  69%|██████▉   | 62/90 [00:31<00:14,  1.99it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.919:  70%|███████   | 63/90 [00:31<00:13,  2.02it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.919:  70%|███████   | 63/90 [00:31<00:13,  1.99it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.919:  71%|███████   | 64/90 [00:31<00:12,  2.02it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.920:  71%|███████   | 64/90 [00:32<00:13,  2.00it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.920:  72%|███████▏  | 65/90 [00:32<00:12,  2.03it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.920:  72%|███████▏  | 65/90 [00:32<00:12,  2.00it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.920:  73%|███████▎  | 66/90 [00:32<00:11,  2.03it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.920:  73%|███████▎  | 66/90 [00:32<00:11,  2.00it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.920:  74%|███████▍  | 67/90 [00:32<00:11,  2.04it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.920:  74%|███████▍  | 67/90 [00:33<00:11,  2.01it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.920:  76%|███████▌  | 68/90 [00:33<00:10,  2.04it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.920:  76%|███████▌  | 68/90 [00:33<00:10,  2.01it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.920:  77%|███████▋  | 69/90 [00:33<00:10,  2.04it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.921:  77%|███████▋  | 69/90 [00:34<00:10,  2.02it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.921:  78%|███████▊  | 70/90 [00:34<00:09,  2.05it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.921:  78%|███████▊  | 70/90 [00:34<00:09,  2.02it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.921:  79%|███████▉  | 71/90 [00:34<00:09,  2.05it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.921:  79%|███████▉  | 71/90 [00:35<00:09,  2.02it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.921:  80%|████████  | 72/90 [00:35<00:08,  2.05it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.921:  80%|████████  | 72/90 [00:35<00:08,  2.03it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.921:  81%|████████  | 73/90 [00:35<00:08,  2.06it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.921:  81%|████████  | 73/90 [00:35<00:08,  2.03it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.921:  82%|████████▏ | 74/90 [00:35<00:07,  2.06it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.922:  82%|████████▏ | 74/90 [00:36<00:07,  2.04it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.922:  83%|████████▎ | 75/90 [00:36<00:07,  2.06it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.922:  83%|████████▎ | 75/90 [00:36<00:07,  2.04it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.922:  84%|████████▍ | 76/90 [00:36<00:06,  2.07it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.922:  84%|████████▍ | 76/90 [00:37<00:06,  2.05it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.922:  86%|████████▌ | 77/90 [00:37<00:06,  2.07it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.922:  86%|████████▌ | 77/90 [00:37<00:06,  2.05it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.922:  87%|████████▋ | 78/90 [00:37<00:05,  2.07it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.922:  87%|████████▋ | 78/90 [00:38<00:05,  2.05it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.922:  88%|████████▊ | 79/90 [00:38<00:05,  2.08it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.923:  88%|████████▊ | 79/90 [00:38<00:05,  2.06it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.923:  89%|████████▉ | 80/90 [00:38<00:04,  2.08it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.923:  89%|████████▉ | 80/90 [00:38<00:04,  2.06it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.923:  90%|█████████ | 81/90 [00:38<00:04,  2.09it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.923:  90%|█████████ | 81/90 [00:39<00:04,  2.06it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.923:  91%|█████████ | 82/90 [00:39<00:03,  2.09it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.924:  91%|█████████ | 82/90 [00:39<00:03,  2.07it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.924:  92%|█████████▏| 83/90 [00:39<00:03,  2.09it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.924:  92%|█████████▏| 83/90 [00:40<00:03,  2.07it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.924:  93%|█████████▎| 84/90 [00:40<00:02,  2.09it/s]
Epoch 22, validation pixAcc: 0.983, mIoU: 0.924:  93%|█████████▎| 84/90 [00:40<00:02,  2.07it/s]
Epoch 22, validation pixAcc: 0.983, mIoU: 0.924:  94%|█████████▍| 85/90 [00:40<00:02,  2.09it/s]
Epoch 22, validation pixAcc: 0.983, mIoU: 0.924:  94%|█████████▍| 85/90 [00:40<00:02,  2.08it/s]
Epoch 22, validation pixAcc: 0.983, mIoU: 0.924:  96%|█████████▌| 86/90 [00:40<00:01,  2.10it/s]
Epoch 22, validation pixAcc: 0.983, mIoU: 0.924:  96%|█████████▌| 86/90 [00:41<00:01,  2.08it/s]
Epoch 22, validation pixAcc: 0.983, mIoU: 0.924:  97%|█████████▋| 87/90 [00:41<00:01,  2.11it/s]
Epoch 22, validation pixAcc: 0.983, mIoU: 0.924:  97%|█████████▋| 87/90 [00:41<00:01,  2.08it/s]
Epoch 22, validation pixAcc: 0.983, mIoU: 0.924:  98%|█████████▊| 88/90 [00:41<00:00,  2.11it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.923:  98%|█████████▊| 88/90 [00:42<00:00,  2.09it/s]
Epoch 22, validation pixAcc: 0.982, mIoU: 0.923:  99%|█████████▉| 89/90 [00:42<00:00,  2.11it/s]
Epoch 22, validation pixAcc: 0.983, mIoU: 0.924:  99%|█████████▉| 89/90 [00:42<00:00,  2.09it/s]
Epoch 22, validation pixAcc: 0.983, mIoU: 0.924: 100%|██████████| 90/90 [00:42<00:00,  2.11it/s]

  0%|          | 0/182 [00:00<?, ?it/s]
Epoch 23, training loss 0.075:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 23, training loss 0.075:   1%|          | 1/182 [00:05<15:08,  5.02s/it]
Epoch 23, training loss 0.082:   1%|          | 1/182 [00:05<17:14,  5.72s/it]
Epoch 23, training loss 0.082:   1%|          | 2/182 [00:06<09:18,  3.11s/it]
Epoch 23, training loss 0.114:   1%|          | 2/182 [00:06<10:22,  3.46s/it]
Epoch 23, training loss 0.114:   2%|▏         | 3/182 [00:07<07:22,  2.47s/it]
Epoch 23, training loss 0.098:   2%|▏         | 3/182 [00:08<08:01,  2.69s/it]
Epoch 23, training loss 0.098:   2%|▏         | 4/182 [00:08<06:21,  2.14s/it]
Epoch 23, training loss 0.093:   2%|▏         | 4/182 [00:09<06:52,  2.32s/it]
Epoch 23, training loss 0.093:   3%|▎         | 5/182 [00:09<05:45,  1.95s/it]
Epoch 23, training loss 0.088:   3%|▎         | 5/182 [00:10<06:07,  2.07s/it]
Epoch 23, training loss 0.088:   3%|▎         | 6/182 [00:10<05:19,  1.81s/it]
Epoch 23, training loss 0.082:   3%|▎         | 6/182 [00:11<05:38,  1.93s/it]
Epoch 23, training loss 0.082:   4%|▍         | 7/182 [00:12<05:01,  1.72s/it]
Epoch 23, training loss 0.087:   4%|▍         | 7/182 [00:12<05:18,  1.82s/it]
Epoch 23, training loss 0.087:   4%|▍         | 8/182 [00:13<04:47,  1.65s/it]
Epoch 23, training loss 0.108:   4%|▍         | 8/182 [00:14<05:04,  1.75s/it]
Epoch 23, training loss 0.108:   5%|▍         | 9/182 [00:14<04:39,  1.61s/it]
Epoch 23, training loss 0.105:   5%|▍         | 9/182 [00:15<04:51,  1.68s/it]
Epoch 23, training loss 0.105:   5%|▌         | 10/182 [00:15<04:29,  1.57s/it]
Epoch 23, training loss 0.101:   5%|▌         | 10/182 [00:16<04:40,  1.63s/it]
Epoch 23, training loss 0.101:   6%|▌         | 11/182 [00:16<04:21,  1.53s/it]
Epoch 23, training loss 0.099:   6%|▌         | 11/182 [00:17<04:31,  1.59s/it]
Epoch 23, training loss 0.099:   7%|▋         | 12/182 [00:17<04:14,  1.50s/it]
Epoch 23, training loss 0.095:   7%|▋         | 12/182 [00:18<04:23,  1.55s/it]
Epoch 23, training loss 0.095:   7%|▋         | 13/182 [00:19<04:08,  1.47s/it]
Epoch 23, training loss 0.094:   7%|▋         | 13/182 [00:19<04:17,  1.53s/it]
Epoch 23, training loss 0.094:   8%|▊         | 14/182 [00:20<04:03,  1.45s/it]
Epoch 23, training loss 0.101:   8%|▊         | 14/182 [00:20<04:11,  1.50s/it]
Epoch 23, training loss 0.101:   8%|▊         | 15/182 [00:21<03:58,  1.43s/it]
Epoch 23, training loss 0.117:   8%|▊         | 15/182 [00:22<04:08,  1.49s/it]
Epoch 23, training loss 0.117:   9%|▉         | 16/182 [00:22<03:56,  1.43s/it]
Epoch 23, training loss 0.114:   9%|▉         | 16/182 [00:23<04:04,  1.47s/it]
Epoch 23, training loss 0.114:   9%|▉         | 17/182 [00:24<03:53,  1.41s/it]
Epoch 23, training loss 0.111:   9%|▉         | 17/182 [00:24<03:59,  1.45s/it]
Epoch 23, training loss 0.111:  10%|▉         | 18/182 [00:25<03:48,  1.40s/it]
Epoch 23, training loss 0.110:  10%|▉         | 18/182 [00:25<03:54,  1.43s/it]
Epoch 23, training loss 0.110:  10%|█         | 19/182 [00:26<03:45,  1.38s/it]
Epoch 23, training loss 0.107:  10%|█         | 19/182 [00:26<03:50,  1.42s/it]
Epoch 23, training loss 0.107:  11%|█         | 20/182 [00:27<03:41,  1.37s/it]
Epoch 23, training loss 0.106:  11%|█         | 20/182 [00:28<03:47,  1.40s/it]
Epoch 23, training loss 0.106:  12%|█▏        | 21/182 [00:28<03:38,  1.36s/it]
Epoch 23, training loss 0.104:  12%|█▏        | 21/182 [00:29<03:43,  1.39s/it]
Epoch 23, training loss 0.104:  12%|█▏        | 22/182 [00:29<03:35,  1.35s/it]
Epoch 23, training loss 0.101:  12%|█▏        | 22/182 [00:30<03:40,  1.38s/it]
Epoch 23, training loss 0.101:  13%|█▎        | 23/182 [00:30<03:32,  1.34s/it]
Epoch 23, training loss 0.098:  13%|█▎        | 23/182 [00:31<03:37,  1.37s/it]
Epoch 23, training loss 0.098:  13%|█▎        | 24/182 [00:31<03:30,  1.33s/it]
Epoch 23, training loss 0.098:  13%|█▎        | 24/182 [00:32<03:34,  1.36s/it]
Epoch 23, training loss 0.098:  14%|█▎        | 25/182 [00:33<03:28,  1.32s/it]
Epoch 23, training loss 0.108:  14%|█▎        | 25/182 [00:33<03:31,  1.35s/it]
Epoch 23, training loss 0.108:  14%|█▍        | 26/182 [00:34<03:25,  1.32s/it]
Epoch 23, training loss 0.127:  14%|█▍        | 26/182 [00:34<03:29,  1.34s/it]
Epoch 23, training loss 0.127:  15%|█▍        | 27/182 [00:35<03:23,  1.31s/it]
Epoch 23, training loss 0.124:  15%|█▍        | 27/182 [00:36<03:27,  1.34s/it]
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Epoch 23, training loss 0.127:  16%|█▌        | 29/182 [00:37<03:19,  1.31s/it]
Epoch 23, training loss 0.123:  16%|█▌        | 29/182 [00:38<03:23,  1.33s/it]
Epoch 23, training loss 0.123:  16%|█▋        | 30/182 [00:39<03:17,  1.30s/it]
Epoch 23, training loss 0.124:  16%|█▋        | 30/182 [00:39<03:21,  1.32s/it]
Epoch 23, training loss 0.124:  17%|█▋        | 31/182 [00:40<03:15,  1.30s/it]
Epoch 23, training loss 0.124:  17%|█▋        | 31/182 [00:40<03:19,  1.32s/it]
Epoch 23, training loss 0.124:  18%|█▊        | 32/182 [00:41<03:13,  1.29s/it]
Epoch 23, training loss 0.124:  18%|█▊        | 32/182 [00:41<03:16,  1.31s/it]
Epoch 23, training loss 0.124:  18%|█▊        | 33/182 [00:42<03:11,  1.29s/it]
Epoch 23, training loss 0.133:  18%|█▊        | 33/182 [00:43<03:14,  1.31s/it]
Epoch 23, training loss 0.133:  19%|█▊        | 34/182 [00:43<03:10,  1.28s/it]
Epoch 23, training loss 0.134:  19%|█▊        | 34/182 [00:44<03:12,  1.30s/it]
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Epoch 23, training loss 0.135:  20%|█▉        | 36/182 [00:45<03:06,  1.27s/it]
Epoch 23, training loss 0.134:  20%|█▉        | 36/182 [00:46<03:08,  1.29s/it]
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Epoch 23, training loss 0.145:  20%|██        | 37/182 [00:47<03:06,  1.29s/it]
Epoch 23, training loss 0.145:  21%|██        | 38/182 [00:48<03:02,  1.27s/it]
Epoch 23, training loss 0.143:  21%|██        | 38/182 [00:48<03:04,  1.28s/it]
Epoch 23, training loss 0.143:  21%|██▏       | 39/182 [00:49<03:00,  1.26s/it]
Epoch 23, training loss 0.143:  21%|██▏       | 39/182 [00:49<03:03,  1.28s/it]
Epoch 23, training loss 0.143:  22%|██▏       | 40/182 [00:50<02:58,  1.26s/it]
Epoch 23, training loss 0.146:  22%|██▏       | 40/182 [00:51<03:01,  1.28s/it]
Epoch 23, training loss 0.146:  23%|██▎       | 41/182 [00:51<02:57,  1.26s/it]
Epoch 23, training loss 0.146:  23%|██▎       | 41/182 [00:52<02:59,  1.28s/it]
Epoch 23, training loss 0.146:  23%|██▎       | 42/182 [00:52<02:56,  1.26s/it]
Epoch 23, training loss 0.157:  23%|██▎       | 42/182 [00:53<02:58,  1.27s/it]
Epoch 23, training loss 0.157:  24%|██▎       | 43/182 [00:54<02:54,  1.26s/it]
Epoch 23, training loss 0.154:  24%|██▎       | 43/182 [00:54<02:56,  1.27s/it]
Epoch 23, training loss 0.154:  24%|██▍       | 44/182 [00:55<02:53,  1.25s/it]
Epoch 23, training loss 0.151:  24%|██▍       | 44/182 [00:55<02:54,  1.27s/it]
Epoch 23, training loss 0.151:  25%|██▍       | 45/182 [00:56<02:51,  1.25s/it]
Epoch 23, training loss 0.150:  25%|██▍       | 45/182 [00:56<02:53,  1.26s/it]
Epoch 23, training loss 0.150:  25%|██▌       | 46/182 [00:57<02:49,  1.25s/it]
Epoch 23, training loss 0.150:  25%|██▌       | 46/182 [00:57<02:51,  1.26s/it]
Epoch 23, training loss 0.150:  26%|██▌       | 47/182 [00:58<02:47,  1.24s/it]
Epoch 23, training loss 0.148:  26%|██▌       | 47/182 [00:59<02:49,  1.26s/it]
Epoch 23, training loss 0.148:  26%|██▋       | 48/182 [00:59<02:46,  1.24s/it]
Epoch 23, training loss 0.147:  26%|██▋       | 48/182 [01:00<02:48,  1.25s/it]
Epoch 23, training loss 0.147:  27%|██▋       | 49/182 [01:00<02:44,  1.24s/it]
Epoch 23, training loss 0.145:  27%|██▋       | 49/182 [01:01<02:46,  1.25s/it]
Epoch 23, training loss 0.145:  27%|██▋       | 50/182 [01:01<02:43,  1.24s/it]
Epoch 23, training loss 0.146:  27%|██▋       | 50/182 [01:02<02:44,  1.25s/it]
Epoch 23, training loss 0.146:  28%|██▊       | 51/182 [01:02<02:41,  1.23s/it]
Epoch 23, training loss 0.144:  28%|██▊       | 51/182 [01:03<02:43,  1.25s/it]
Epoch 23, training loss 0.144:  29%|██▊       | 52/182 [01:04<02:40,  1.23s/it]
Epoch 23, training loss 0.141:  29%|██▊       | 52/182 [01:04<02:42,  1.25s/it]
Epoch 23, training loss 0.141:  29%|██▉       | 53/182 [01:05<02:39,  1.23s/it]
Epoch 23, training loss 0.140:  29%|██▉       | 53/182 [01:06<02:40,  1.25s/it]
Epoch 23, training loss 0.140:  30%|██▉       | 54/182 [01:06<02:37,  1.23s/it]
Epoch 23, training loss 0.144:  30%|██▉       | 54/182 [01:07<02:39,  1.24s/it]
Epoch 23, training loss 0.144:  30%|███       | 55/182 [01:07<02:36,  1.23s/it]
Epoch 23, training loss 0.143:  30%|███       | 55/182 [01:08<02:37,  1.24s/it]
Epoch 23, training loss 0.143:  31%|███       | 56/182 [01:08<02:34,  1.23s/it]
Epoch 23, training loss 0.142:  31%|███       | 56/182 [01:09<02:36,  1.24s/it]
Epoch 23, training loss 0.142:  31%|███▏      | 57/182 [01:09<02:33,  1.23s/it]
Epoch 23, training loss 0.142:  31%|███▏      | 57/182 [01:10<02:34,  1.24s/it]
Epoch 23, training loss 0.142:  32%|███▏      | 58/182 [01:11<02:32,  1.23s/it]
Epoch 23, training loss 0.141:  32%|███▏      | 58/182 [01:11<02:33,  1.24s/it]
Epoch 23, training loss 0.141:  32%|███▏      | 59/182 [01:12<02:30,  1.23s/it]
Epoch 23, training loss 0.140:  32%|███▏      | 59/182 [01:13<02:32,  1.24s/it]
Epoch 23, training loss 0.140:  33%|███▎      | 60/182 [01:13<02:29,  1.23s/it]
Epoch 23, training loss 0.138:  33%|███▎      | 60/182 [01:14<02:31,  1.24s/it]
Epoch 23, training loss 0.138:  34%|███▎      | 61/182 [01:14<02:28,  1.23s/it]
Epoch 23, training loss 0.137:  34%|███▎      | 61/182 [01:15<02:29,  1.24s/it]
Epoch 23, training loss 0.137:  34%|███▍      | 62/182 [01:15<02:26,  1.22s/it]
Epoch 23, training loss 0.142:  34%|███▍      | 62/182 [01:16<02:28,  1.23s/it]
Epoch 23, training loss 0.142:  35%|███▍      | 63/182 [01:16<02:25,  1.22s/it]
Epoch 23, training loss 0.148:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 23, training loss 0.148:  35%|███▌      | 64/182 [01:18<02:23,  1.22s/it]
Epoch 23, training loss 0.147:  35%|███▌      | 64/182 [01:18<02:25,  1.23s/it]
Epoch 23, training loss 0.147:  36%|███▌      | 65/182 [01:19<02:22,  1.22s/it]
Epoch 23, training loss 0.147:  36%|███▌      | 65/182 [01:19<02:23,  1.23s/it]
Epoch 23, training loss 0.147:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 23, training loss 0.146:  36%|███▋      | 66/182 [01:21<02:22,  1.23s/it]
Epoch 23, training loss 0.146:  37%|███▋      | 67/182 [01:21<02:20,  1.22s/it]
Epoch 23, training loss 0.147:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 23, training loss 0.147:  37%|███▋      | 68/182 [01:22<02:18,  1.22s/it]
Epoch 23, training loss 0.146:  37%|███▋      | 68/182 [01:23<02:19,  1.23s/it]
Epoch 23, training loss 0.146:  38%|███▊      | 69/182 [01:23<02:17,  1.22s/it]
Epoch 23, training loss 0.147:  38%|███▊      | 69/182 [01:24<02:18,  1.23s/it]
Epoch 23, training loss 0.147:  38%|███▊      | 70/182 [01:25<02:16,  1.22s/it]
Epoch 23, training loss 0.146:  38%|███▊      | 70/182 [01:25<02:17,  1.23s/it]
Epoch 23, training loss 0.146:  39%|███▉      | 71/182 [01:26<02:14,  1.22s/it]
Epoch 23, training loss 0.145:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 23, training loss 0.145:  40%|███▉      | 72/182 [01:27<02:13,  1.22s/it]
Epoch 23, training loss 0.143:  40%|███▉      | 72/182 [01:28<02:14,  1.23s/it]
Epoch 23, training loss 0.143:  40%|████      | 73/182 [01:28<02:12,  1.22s/it]
Epoch 23, training loss 0.141:  40%|████      | 73/182 [01:29<02:13,  1.23s/it]
Epoch 23, training loss 0.141:  41%|████      | 74/182 [01:29<02:11,  1.22s/it]
Epoch 23, training loss 0.141:  41%|████      | 74/182 [01:30<02:12,  1.22s/it]
Epoch 23, training loss 0.141:  41%|████      | 75/182 [01:31<02:09,  1.21s/it]
Epoch 23, training loss 0.139:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 23, training loss 0.139:  42%|████▏     | 76/182 [01:32<02:08,  1.21s/it]
Epoch 23, training loss 0.138:  42%|████▏     | 76/182 [01:32<02:09,  1.22s/it]
Epoch 23, training loss 0.138:  42%|████▏     | 77/182 [01:33<02:07,  1.21s/it]
Epoch 23, training loss 0.140:  42%|████▏     | 77/182 [01:34<02:08,  1.22s/it]
Epoch 23, training loss 0.140:  43%|████▎     | 78/182 [01:34<02:06,  1.21s/it]
Epoch 23, training loss 0.138:  43%|████▎     | 78/182 [01:35<02:06,  1.22s/it]
Epoch 23, training loss 0.138:  43%|████▎     | 79/182 [01:35<02:04,  1.21s/it]
Epoch 23, training loss 0.138:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
Epoch 23, training loss 0.138:  44%|████▍     | 80/182 [01:36<02:03,  1.21s/it]
Epoch 23, training loss 0.138:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 23, training loss 0.138:  45%|████▍     | 81/182 [01:37<02:02,  1.21s/it]
Epoch 23, training loss 0.137:  45%|████▍     | 81/182 [01:38<02:02,  1.22s/it]
Epoch 23, training loss 0.137:  45%|████▌     | 82/182 [01:39<02:00,  1.21s/it]
Epoch 23, training loss 0.137:  45%|████▌     | 82/182 [01:39<02:01,  1.22s/it]
Epoch 23, training loss 0.137:  46%|████▌     | 83/182 [01:40<01:59,  1.21s/it]
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Epoch 23, training loss 0.136:  49%|████▉     | 89/182 [01:46<01:51,  1.20s/it]
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Epoch 23, training loss 0.135:  49%|████▉     | 90/182 [01:47<01:50,  1.20s/it]
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Epoch 23, training loss 0.135:  51%|█████     | 92/182 [01:50<01:47,  1.20s/it]
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Epoch 23, training loss 0.133:  52%|█████▏    | 95/182 [01:53<01:44,  1.20s/it]
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Epoch 23, training loss 0.133:  53%|█████▎    | 96/182 [01:54<01:42,  1.20s/it]
Epoch 23, training loss 0.132:  53%|█████▎    | 96/182 [01:55<01:43,  1.20s/it]
Epoch 23, training loss 0.132:  53%|█████▎    | 97/182 [01:55<01:41,  1.19s/it]
Epoch 23, training loss 0.131:  53%|█████▎    | 97/182 [01:56<01:42,  1.20s/it]
Epoch 23, training loss 0.131:  54%|█████▍    | 98/182 [01:56<01:40,  1.19s/it]
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Epoch 23, training loss 0.130:  54%|█████▍    | 99/182 [01:58<01:38,  1.19s/it]
Epoch 23, training loss 0.130:  54%|█████▍    | 99/182 [01:58<01:39,  1.20s/it]
Epoch 23, training loss 0.130:  55%|█████▍    | 100/182 [01:59<01:37,  1.19s/it]
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Epoch 23, training loss 0.132:  57%|█████▋    | 103/182 [02:02<01:34,  1.19s/it]
Epoch 23, training loss 0.131:  57%|█████▋    | 103/182 [02:03<01:34,  1.20s/it]
Epoch 23, training loss 0.131:  57%|█████▋    | 104/182 [02:03<01:32,  1.19s/it]
Epoch 23, training loss 0.131:  57%|█████▋    | 104/182 [02:04<01:33,  1.20s/it]
Epoch 23, training loss 0.131:  58%|█████▊    | 105/182 [02:05<01:31,  1.19s/it]
Epoch 23, training loss 0.131:  58%|█████▊    | 105/182 [02:05<01:32,  1.20s/it]
Epoch 23, training loss 0.131:  58%|█████▊    | 106/182 [02:06<01:30,  1.19s/it]
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Epoch 23, training loss 0.132:  59%|█████▉    | 108/182 [02:08<01:28,  1.19s/it]
Epoch 23, training loss 0.131:  59%|█████▉    | 108/182 [02:09<01:28,  1.19s/it]
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Epoch 23, training loss 0.131:  60%|█████▉    | 109/182 [02:10<01:27,  1.19s/it]
Epoch 23, training loss 0.131:  60%|██████    | 110/182 [02:10<01:25,  1.19s/it]
Epoch 23, training loss 0.130:  60%|██████    | 110/182 [02:11<01:26,  1.19s/it]
Epoch 23, training loss 0.130:  61%|██████    | 111/182 [02:11<01:24,  1.19s/it]
Epoch 23, training loss 0.130:  61%|██████    | 111/182 [02:12<01:24,  1.19s/it]
Epoch 23, training loss 0.130:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 23, training loss 0.130:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 23, training loss 0.130:  62%|██████▏   | 113/182 [02:14<01:21,  1.19s/it]
Epoch 23, training loss 0.130:  62%|██████▏   | 113/182 [02:14<01:22,  1.19s/it]
Epoch 23, training loss 0.130:  63%|██████▎   | 114/182 [02:15<01:20,  1.19s/it]
Epoch 23, training loss 0.130:  63%|██████▎   | 114/182 [02:16<01:21,  1.19s/it]
Epoch 23, training loss 0.130:  63%|██████▎   | 115/182 [02:16<01:19,  1.19s/it]
Epoch 23, training loss 0.130:  63%|██████▎   | 115/182 [02:17<01:19,  1.19s/it]
Epoch 23, training loss 0.130:  64%|██████▎   | 116/182 [02:17<01:18,  1.19s/it]
Epoch 23, training loss 0.131:  64%|██████▎   | 116/182 [02:18<01:18,  1.19s/it]
Epoch 23, training loss 0.131:  64%|██████▍   | 117/182 [02:18<01:17,  1.19s/it]
Epoch 23, training loss 0.132:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 23, training loss 0.132:  65%|██████▍   | 118/182 [02:19<01:15,  1.18s/it]
Epoch 23, training loss 0.133:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 23, training loss 0.133:  65%|██████▌   | 119/182 [02:20<01:14,  1.18s/it]
Epoch 23, training loss 0.133:  65%|██████▌   | 119/182 [02:21<01:14,  1.19s/it]
Epoch 23, training loss 0.133:  66%|██████▌   | 120/182 [02:22<01:13,  1.18s/it]
Epoch 23, training loss 0.135:  66%|██████▌   | 120/182 [02:22<01:13,  1.19s/it]
Epoch 23, training loss 0.135:  66%|██████▋   | 121/182 [02:23<01:12,  1.18s/it]
Epoch 23, training loss 0.135:  66%|██████▋   | 121/182 [02:23<01:12,  1.19s/it]
Epoch 23, training loss 0.135:  67%|██████▋   | 122/182 [02:24<01:11,  1.18s/it]
Epoch 23, training loss 0.135:  67%|██████▋   | 122/182 [02:25<01:11,  1.19s/it]
Epoch 23, training loss 0.135:  68%|██████▊   | 123/182 [02:25<01:09,  1.18s/it]
Epoch 23, training loss 0.134:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 23, training loss 0.134:  68%|██████▊   | 124/182 [02:26<01:08,  1.18s/it]
Epoch 23, training loss 0.133:  68%|██████▊   | 124/182 [02:27<01:08,  1.19s/it]
Epoch 23, training loss 0.133:  69%|██████▊   | 125/182 [02:27<01:07,  1.18s/it]
Epoch 23, training loss 0.134:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 23, training loss 0.134:  69%|██████▉   | 126/182 [02:29<01:06,  1.18s/it]
Epoch 23, training loss 0.134:  69%|██████▉   | 126/182 [02:29<01:06,  1.19s/it]
Epoch 23, training loss 0.134:  70%|██████▉   | 127/182 [02:30<01:05,  1.18s/it]
Epoch 23, training loss 0.135:  70%|██████▉   | 127/182 [02:30<01:05,  1.19s/it]
Epoch 23, training loss 0.135:  70%|███████   | 128/182 [02:31<01:03,  1.18s/it]
Epoch 23, training loss 0.135:  70%|███████   | 128/182 [02:32<01:04,  1.19s/it]
Epoch 23, training loss 0.135:  71%|███████   | 129/182 [02:32<01:02,  1.18s/it]
Epoch 23, training loss 0.135:  71%|███████   | 129/182 [02:33<01:02,  1.19s/it]
Epoch 23, training loss 0.135:  71%|███████▏  | 130/182 [02:33<01:01,  1.18s/it]
Epoch 23, training loss 0.134:  71%|███████▏  | 130/182 [02:34<01:01,  1.19s/it]
Epoch 23, training loss 0.134:  72%|███████▏  | 131/182 [02:34<01:00,  1.18s/it]
Epoch 23, training loss 0.134:  72%|███████▏  | 131/182 [02:35<01:00,  1.19s/it]
Epoch 23, training loss 0.134:  73%|███████▎  | 132/182 [02:35<00:59,  1.18s/it]
Epoch 23, training loss 0.133:  73%|███████▎  | 132/182 [02:36<00:59,  1.19s/it]
Epoch 23, training loss 0.133:  73%|███████▎  | 133/182 [02:37<00:57,  1.18s/it]
Epoch 23, training loss 0.134:  73%|███████▎  | 133/182 [02:37<00:58,  1.19s/it]
Epoch 23, training loss 0.134:  74%|███████▎  | 134/182 [02:38<00:56,  1.18s/it]
Epoch 23, training loss 0.139:  74%|███████▎  | 134/182 [02:38<00:56,  1.19s/it]
Epoch 23, training loss 0.139:  74%|███████▍  | 135/182 [02:39<00:55,  1.18s/it]
Epoch 23, training loss 0.140:  74%|███████▍  | 135/182 [02:40<00:55,  1.19s/it]
Epoch 23, training loss 0.140:  75%|███████▍  | 136/182 [02:40<00:54,  1.18s/it]
Epoch 23, training loss 0.139:  75%|███████▍  | 136/182 [02:41<00:54,  1.19s/it]
Epoch 23, training loss 0.139:  75%|███████▌  | 137/182 [02:41<00:53,  1.18s/it]
Epoch 23, training loss 0.140:  75%|███████▌  | 137/182 [02:42<00:53,  1.19s/it]
Epoch 23, training loss 0.140:  76%|███████▌  | 138/182 [02:42<00:51,  1.18s/it]
Epoch 23, training loss 0.141:  76%|███████▌  | 138/182 [02:43<00:52,  1.19s/it]
Epoch 23, training loss 0.141:  76%|███████▋  | 139/182 [02:44<00:50,  1.18s/it]
Epoch 23, training loss 0.140:  76%|███████▋  | 139/182 [02:44<00:50,  1.18s/it]
Epoch 23, training loss 0.140:  77%|███████▋  | 140/182 [02:45<00:49,  1.18s/it]
Epoch 23, training loss 0.141:  77%|███████▋  | 140/182 [02:45<00:49,  1.18s/it]
Epoch 23, training loss 0.141:  77%|███████▋  | 141/182 [02:46<00:48,  1.18s/it]
Epoch 23, training loss 0.140:  77%|███████▋  | 141/182 [02:46<00:48,  1.18s/it]
Epoch 23, training loss 0.140:  78%|███████▊  | 142/182 [02:47<00:47,  1.18s/it]
Epoch 23, training loss 0.140:  78%|███████▊  | 142/182 [02:48<00:47,  1.18s/it]
Epoch 23, training loss 0.140:  79%|███████▊  | 143/182 [02:48<00:45,  1.18s/it]
Epoch 23, training loss 0.140:  79%|███████▊  | 143/182 [02:49<00:46,  1.18s/it]
Epoch 23, training loss 0.140:  79%|███████▉  | 144/182 [02:49<00:44,  1.18s/it]
Epoch 23, training loss 0.140:  79%|███████▉  | 144/182 [02:50<00:44,  1.18s/it]
Epoch 23, training loss 0.140:  80%|███████▉  | 145/182 [02:50<00:43,  1.18s/it]
Epoch 23, training loss 0.140:  80%|███████▉  | 145/182 [02:51<00:43,  1.18s/it]
Epoch 23, training loss 0.140:  80%|████████  | 146/182 [02:52<00:42,  1.18s/it]
Epoch 23, training loss 0.140:  80%|████████  | 146/182 [02:52<00:42,  1.18s/it]
Epoch 23, training loss 0.140:  81%|████████  | 147/182 [02:53<00:41,  1.18s/it]
Epoch 23, training loss 0.139:  81%|████████  | 147/182 [02:53<00:41,  1.18s/it]
Epoch 23, training loss 0.139:  81%|████████▏ | 148/182 [02:54<00:40,  1.18s/it]
Epoch 23, training loss 0.139:  81%|████████▏ | 148/182 [02:54<00:40,  1.18s/it]
Epoch 23, training loss 0.139:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 23, training loss 0.139:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 23, training loss 0.139:  82%|████████▏ | 150/182 [02:56<00:37,  1.18s/it]
Epoch 23, training loss 0.138:  82%|████████▏ | 150/182 [02:57<00:37,  1.18s/it]
Epoch 23, training loss 0.138:  83%|████████▎ | 151/182 [02:57<00:36,  1.18s/it]
Epoch 23, training loss 0.139:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 23, training loss 0.139:  84%|████████▎ | 152/182 [02:58<00:35,  1.18s/it]
Epoch 23, training loss 0.138:  84%|████████▎ | 152/182 [02:59<00:35,  1.18s/it]
Epoch 23, training loss 0.138:  84%|████████▍ | 153/182 [02:59<00:34,  1.18s/it]
Epoch 23, training loss 0.138:  84%|████████▍ | 153/182 [03:00<00:34,  1.18s/it]
Epoch 23, training loss 0.138:  85%|████████▍ | 154/182 [03:01<00:32,  1.18s/it]
Epoch 23, training loss 0.141:  85%|████████▍ | 154/182 [03:01<00:33,  1.18s/it]
Epoch 23, training loss 0.141:  85%|████████▌ | 155/182 [03:02<00:31,  1.18s/it]
Epoch 23, training loss 0.142:  85%|████████▌ | 155/182 [03:02<00:31,  1.18s/it]
Epoch 23, training loss 0.142:  86%|████████▌ | 156/182 [03:03<00:30,  1.17s/it]
Epoch 23, training loss 0.141:  86%|████████▌ | 156/182 [03:03<00:30,  1.18s/it]
Epoch 23, training loss 0.141:  86%|████████▋ | 157/182 [03:04<00:29,  1.18s/it]
Epoch 23, training loss 0.141:  86%|████████▋ | 157/182 [03:05<00:29,  1.18s/it]
Epoch 23, training loss 0.141:  87%|████████▋ | 158/182 [03:05<00:28,  1.17s/it]
Epoch 23, training loss 0.140:  87%|████████▋ | 158/182 [03:06<00:28,  1.18s/it]
Epoch 23, training loss 0.140:  87%|████████▋ | 159/182 [03:06<00:27,  1.17s/it]
Epoch 23, training loss 0.140:  87%|████████▋ | 159/182 [03:07<00:27,  1.18s/it]
Epoch 23, training loss 0.140:  88%|████████▊ | 160/182 [03:07<00:25,  1.17s/it]
Epoch 23, training loss 0.141:  88%|████████▊ | 160/182 [03:08<00:25,  1.18s/it]
Epoch 23, training loss 0.141:  88%|████████▊ | 161/182 [03:08<00:24,  1.17s/it]
Epoch 23, training loss 0.141:  88%|████████▊ | 161/182 [03:09<00:24,  1.18s/it]
Epoch 23, training loss 0.141:  89%|████████▉ | 162/182 [03:10<00:23,  1.17s/it]
Epoch 23, training loss 0.142:  89%|████████▉ | 162/182 [03:10<00:23,  1.18s/it]
Epoch 23, training loss 0.142:  90%|████████▉ | 163/182 [03:11<00:22,  1.17s/it]
Epoch 23, training loss 0.142:  90%|████████▉ | 163/182 [03:11<00:22,  1.18s/it]
Epoch 23, training loss 0.142:  90%|█████████ | 164/182 [03:12<00:21,  1.17s/it]
Epoch 23, training loss 0.141:  90%|█████████ | 164/182 [03:13<00:21,  1.18s/it]
Epoch 23, training loss 0.141:  91%|█████████ | 165/182 [03:13<00:19,  1.17s/it]
Epoch 23, training loss 0.141:  91%|█████████ | 165/182 [03:14<00:20,  1.18s/it]
Epoch 23, training loss 0.141:  91%|█████████ | 166/182 [03:14<00:18,  1.17s/it]
Epoch 23, training loss 0.141:  91%|█████████ | 166/182 [03:15<00:18,  1.18s/it]
Epoch 23, training loss 0.141:  92%|█████████▏| 167/182 [03:15<00:17,  1.17s/it]
Epoch 23, training loss 0.144:  92%|█████████▏| 167/182 [03:16<00:17,  1.18s/it]
Epoch 23, training loss 0.144:  92%|█████████▏| 168/182 [03:17<00:16,  1.17s/it]
Epoch 23, training loss 0.144:  92%|█████████▏| 168/182 [03:17<00:16,  1.18s/it]
Epoch 23, training loss 0.144:  93%|█████████▎| 169/182 [03:18<00:15,  1.17s/it]
Epoch 23, training loss 0.144:  93%|█████████▎| 169/182 [03:18<00:15,  1.18s/it]
Epoch 23, training loss 0.144:  93%|█████████▎| 170/182 [03:19<00:14,  1.17s/it]
Epoch 23, training loss 0.144:  93%|█████████▎| 170/182 [03:19<00:14,  1.18s/it]
Epoch 23, training loss 0.144:  94%|█████████▍| 171/182 [03:20<00:12,  1.17s/it]
Epoch 23, training loss 0.143:  94%|█████████▍| 171/182 [03:21<00:12,  1.18s/it]
Epoch 23, training loss 0.143:  95%|█████████▍| 172/182 [03:21<00:11,  1.17s/it]
Epoch 23, training loss 0.143:  95%|█████████▍| 172/182 [03:22<00:11,  1.18s/it]
Epoch 23, training loss 0.143:  95%|█████████▌| 173/182 [03:22<00:10,  1.17s/it]
Epoch 23, training loss 0.143:  95%|█████████▌| 173/182 [03:23<00:10,  1.18s/it]
Epoch 23, training loss 0.143:  96%|█████████▌| 174/182 [03:23<00:09,  1.17s/it]
Epoch 23, training loss 0.143:  96%|█████████▌| 174/182 [03:24<00:09,  1.18s/it]
Epoch 23, training loss 0.143:  96%|█████████▌| 175/182 [03:24<00:08,  1.17s/it]
Epoch 23, training loss 0.143:  96%|█████████▌| 175/182 [03:25<00:08,  1.17s/it]
Epoch 23, training loss 0.143:  97%|█████████▋| 176/182 [03:26<00:07,  1.17s/it]
Epoch 23, training loss 0.143:  97%|█████████▋| 176/182 [03:26<00:07,  1.17s/it]
Epoch 23, training loss 0.143:  97%|█████████▋| 177/182 [03:27<00:05,  1.17s/it]
Epoch 23, training loss 0.143:  97%|█████████▋| 177/182 [03:27<00:05,  1.17s/it]
Epoch 23, training loss 0.143:  98%|█████████▊| 178/182 [03:28<00:04,  1.17s/it]
Epoch 23, training loss 0.145:  98%|█████████▊| 178/182 [03:28<00:04,  1.17s/it]
Epoch 23, training loss 0.145:  98%|█████████▊| 179/182 [03:29<00:03,  1.17s/it]
Epoch 23, training loss 0.144:  98%|█████████▊| 179/182 [03:30<00:03,  1.17s/it]
Epoch 23, training loss 0.144:  99%|█████████▉| 180/182 [03:30<00:02,  1.17s/it]
Epoch 23, training loss 0.144:  99%|█████████▉| 180/182 [03:31<00:02,  1.17s/it]
Epoch 23, training loss 0.144:  99%|█████████▉| 181/182 [03:31<00:01,  1.17s/it]
Epoch 23, training loss 0.144:  99%|█████████▉| 181/182 [03:32<00:01,  1.17s/it]
Epoch 23, training loss 0.144: 100%|██████████| 182/182 [03:32<00:00,  1.17s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 23, validation pixAcc: 0.971, mIoU: 0.644:   0%|          | 0/91 [00:05<?, ?it/s]
Epoch 23, validation pixAcc: 0.971, mIoU: 0.644:   1%|          | 1/91 [00:05<07:50,  5.22s/it]
Epoch 23, validation pixAcc: 0.974, mIoU: 0.805:   1%|          | 1/91 [00:05<08:31,  5.68s/it]
Epoch 23, validation pixAcc: 0.974, mIoU: 0.805:   2%|▏         | 2/91 [00:05<04:12,  2.84s/it]
Epoch 23, validation pixAcc: 0.975, mIoU: 0.841:   2%|▏         | 2/91 [00:06<04:33,  3.07s/it]
Epoch 23, validation pixAcc: 0.975, mIoU: 0.841:   3%|▎         | 3/91 [00:06<02:59,  2.05s/it]
Epoch 23, validation pixAcc: 0.976, mIoU: 0.840:   3%|▎         | 3/91 [00:06<03:12,  2.19s/it]
Epoch 23, validation pixAcc: 0.976, mIoU: 0.840:   4%|▍         | 4/91 [00:06<02:22,  1.64s/it]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.888:   4%|▍         | 4/91 [00:06<02:32,  1.75s/it]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.888:   5%|▌         | 5/91 [00:06<02:00,  1.40s/it]
Epoch 23, validation pixAcc: 0.976, mIoU: 0.896:   5%|▌         | 5/91 [00:07<02:07,  1.49s/it]
Epoch 23, validation pixAcc: 0.976, mIoU: 0.896:   7%|▋         | 6/91 [00:07<01:45,  1.24s/it]
Epoch 23, validation pixAcc: 0.976, mIoU: 0.897:   7%|▋         | 6/91 [00:07<01:51,  1.31s/it]
Epoch 23, validation pixAcc: 0.976, mIoU: 0.897:   8%|▊         | 7/91 [00:07<01:34,  1.13s/it]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.894:   8%|▊         | 7/91 [00:08<01:39,  1.19s/it]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.894:   9%|▉         | 8/91 [00:08<01:26,  1.04s/it]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.898:   9%|▉         | 8/91 [00:08<01:30,  1.09s/it]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.898:  10%|▉         | 9/91 [00:08<01:19,  1.03it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.900:  10%|▉         | 9/91 [00:09<01:23,  1.02s/it]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.900:  11%|█         | 10/91 [00:09<01:14,  1.09it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.904:  11%|█         | 10/91 [00:09<01:18,  1.04it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.904:  12%|█▏        | 11/91 [00:09<01:10,  1.14it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.902:  12%|█▏        | 11/91 [00:10<01:13,  1.09it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.902:  13%|█▎        | 12/91 [00:10<01:06,  1.19it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.900:  13%|█▎        | 12/91 [00:10<01:08,  1.15it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.900:  14%|█▍        | 13/91 [00:10<01:02,  1.24it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.905:  14%|█▍        | 13/91 [00:10<01:05,  1.19it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.905:  15%|█▌        | 14/91 [00:10<00:59,  1.29it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.907:  15%|█▌        | 14/91 [00:11<01:01,  1.24it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.907:  16%|█▋        | 15/91 [00:11<00:57,  1.33it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.908:  16%|█▋        | 15/91 [00:11<00:59,  1.29it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.908:  18%|█▊        | 16/91 [00:11<00:54,  1.37it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.912:  18%|█▊        | 16/91 [00:12<00:56,  1.33it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.912:  19%|█▊        | 17/91 [00:12<00:52,  1.41it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.910:  19%|█▊        | 17/91 [00:12<00:54,  1.36it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.910:  20%|█▉        | 18/91 [00:12<00:50,  1.44it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.906:  20%|█▉        | 18/91 [00:12<00:52,  1.39it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.906:  21%|██        | 19/91 [00:12<00:48,  1.47it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.903:  21%|██        | 19/91 [00:13<00:50,  1.42it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.903:  22%|██▏       | 20/91 [00:13<00:47,  1.50it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.902:  22%|██▏       | 20/91 [00:13<00:49,  1.45it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.902:  23%|██▎       | 21/91 [00:13<00:46,  1.52it/s]
Epoch 23, validation pixAcc: 0.976, mIoU: 0.902:  23%|██▎       | 21/91 [00:14<00:47,  1.47it/s]
Epoch 23, validation pixAcc: 0.976, mIoU: 0.902:  24%|██▍       | 22/91 [00:14<00:44,  1.54it/s]
Epoch 23, validation pixAcc: 0.976, mIoU: 0.902:  24%|██▍       | 22/91 [00:14<00:45,  1.50it/s]
Epoch 23, validation pixAcc: 0.976, mIoU: 0.902:  25%|██▌       | 23/91 [00:14<00:43,  1.57it/s]
Epoch 23, validation pixAcc: 0.976, mIoU: 0.904:  25%|██▌       | 23/91 [00:15<00:44,  1.53it/s]
Epoch 23, validation pixAcc: 0.976, mIoU: 0.904:  26%|██▋       | 24/91 [00:15<00:41,  1.60it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.903:  26%|██▋       | 24/91 [00:15<00:43,  1.55it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.903:  27%|██▋       | 25/91 [00:15<00:40,  1.62it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.905:  27%|██▋       | 25/91 [00:15<00:42,  1.57it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.905:  29%|██▊       | 26/91 [00:15<00:39,  1.63it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.905:  29%|██▊       | 26/91 [00:16<00:40,  1.59it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.905:  30%|██▉       | 27/91 [00:16<00:38,  1.65it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.908:  30%|██▉       | 27/91 [00:16<00:39,  1.61it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.908:  31%|███       | 28/91 [00:16<00:37,  1.67it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.908:  31%|███       | 28/91 [00:17<00:38,  1.63it/s]
Epoch 23, validation pixAcc: 0.977, mIoU: 0.908:  32%|███▏      | 29/91 [00:17<00:36,  1.68it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.908:  32%|███▏      | 29/91 [00:17<00:37,  1.64it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.908:  33%|███▎      | 30/91 [00:17<00:35,  1.70it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.909:  33%|███▎      | 30/91 [00:18<00:36,  1.66it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.909:  34%|███▍      | 31/91 [00:18<00:35,  1.71it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.911:  34%|███▍      | 31/91 [00:18<00:35,  1.67it/s]
Epoch 23, validation pixAcc: 0.978, mIoU: 0.911:  35%|███▌      | 32/91 [00:18<00:34,  1.73it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.912:  35%|███▌      | 32/91 [00:18<00:35,  1.69it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.912:  36%|███▋      | 33/91 [00:18<00:33,  1.74it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.913:  36%|███▋      | 33/91 [00:19<00:34,  1.70it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.913:  37%|███▋      | 34/91 [00:19<00:32,  1.75it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.913:  37%|███▋      | 34/91 [00:19<00:33,  1.71it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.913:  38%|███▊      | 35/91 [00:19<00:31,  1.76it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.913:  38%|███▊      | 35/91 [00:20<00:32,  1.72it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.913:  40%|███▉      | 36/91 [00:20<00:31,  1.77it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.913:  40%|███▉      | 36/91 [00:20<00:31,  1.73it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.913:  41%|████      | 37/91 [00:20<00:30,  1.78it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.914:  41%|████      | 37/91 [00:21<00:30,  1.75it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.914:  42%|████▏     | 38/91 [00:21<00:29,  1.80it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.913:  42%|████▏     | 38/91 [00:21<00:30,  1.76it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.913:  43%|████▎     | 39/91 [00:21<00:28,  1.81it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.914:  43%|████▎     | 39/91 [00:22<00:29,  1.77it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.914:  44%|████▍     | 40/91 [00:22<00:28,  1.82it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.914:  44%|████▍     | 40/91 [00:22<00:28,  1.78it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.914:  45%|████▌     | 41/91 [00:22<00:27,  1.83it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.914:  45%|████▌     | 41/91 [00:22<00:27,  1.79it/s]
Epoch 23, validation pixAcc: 0.979, mIoU: 0.914:  46%|████▌     | 42/91 [00:22<00:26,  1.84it/s]
Epoch 23, validation pixAcc: 0.980, mIoU: 0.915:  46%|████▌     | 42/91 [00:23<00:27,  1.80it/s]
Epoch 23, validation pixAcc: 0.980, mIoU: 0.915:  47%|████▋     | 43/91 [00:23<00:26,  1.85it/s]
Epoch 23, validation pixAcc: 0.980, mIoU: 0.915:  47%|████▋     | 43/91 [00:23<00:26,  1.82it/s]
Epoch 23, validation pixAcc: 0.980, mIoU: 0.915:  48%|████▊     | 44/91 [00:23<00:25,  1.86it/s]
Epoch 23, validation pixAcc: 0.980, mIoU: 0.916:  48%|████▊     | 44/91 [00:24<00:25,  1.83it/s]
Epoch 23, validation pixAcc: 0.980, mIoU: 0.916:  49%|████▉     | 45/91 [00:24<00:24,  1.87it/s]
Epoch 23, validation pixAcc: 0.980, mIoU: 0.915:  49%|████▉     | 45/91 [00:24<00:25,  1.83it/s]
Epoch 23, validation pixAcc: 0.980, mIoU: 0.915:  51%|█████     | 46/91 [00:24<00:24,  1.87it/s]
Epoch 23, validation pixAcc: 0.980, mIoU: 0.916:  51%|█████     | 46/91 [00:24<00:24,  1.85it/s]
Epoch 23, validation pixAcc: 0.980, mIoU: 0.916:  52%|█████▏    | 47/91 [00:24<00:23,  1.89it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.916:  52%|█████▏    | 47/91 [00:25<00:23,  1.85it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.916:  53%|█████▎    | 48/91 [00:25<00:22,  1.89it/s]
Epoch 23, validation pixAcc: 0.980, mIoU: 0.915:  53%|█████▎    | 48/91 [00:25<00:23,  1.86it/s]
Epoch 23, validation pixAcc: 0.980, mIoU: 0.915:  54%|█████▍    | 49/91 [00:25<00:22,  1.90it/s]
Epoch 23, validation pixAcc: 0.980, mIoU: 0.915:  54%|█████▍    | 49/91 [00:26<00:22,  1.87it/s]
Epoch 23, validation pixAcc: 0.980, mIoU: 0.915:  55%|█████▍    | 50/91 [00:26<00:21,  1.91it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.916:  55%|█████▍    | 50/91 [00:26<00:21,  1.88it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.916:  56%|█████▌    | 51/91 [00:26<00:20,  1.92it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.917:  56%|█████▌    | 51/91 [00:27<00:21,  1.89it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.917:  57%|█████▋    | 52/91 [00:27<00:20,  1.92it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.916:  57%|█████▋    | 52/91 [00:27<00:20,  1.89it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.916:  58%|█████▊    | 53/91 [00:27<00:19,  1.93it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.916:  58%|█████▊    | 53/91 [00:27<00:19,  1.90it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.916:  59%|█████▉    | 54/91 [00:27<00:19,  1.94it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.916:  59%|█████▉    | 54/91 [00:28<00:19,  1.91it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.916:  60%|██████    | 55/91 [00:28<00:18,  1.94it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.916:  60%|██████    | 55/91 [00:28<00:18,  1.91it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.916:  62%|██████▏   | 56/91 [00:28<00:17,  1.95it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.917:  62%|██████▏   | 56/91 [00:29<00:18,  1.92it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.917:  63%|██████▎   | 57/91 [00:29<00:17,  1.95it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.917:  63%|██████▎   | 57/91 [00:29<00:17,  1.92it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.917:  64%|██████▎   | 58/91 [00:29<00:16,  1.96it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.917:  64%|██████▎   | 58/91 [00:30<00:17,  1.93it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.917:  65%|██████▍   | 59/91 [00:30<00:16,  1.96it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.916:  65%|██████▍   | 59/91 [00:30<00:16,  1.93it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.916:  66%|██████▌   | 60/91 [00:30<00:15,  1.97it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.917:  66%|██████▌   | 60/91 [00:30<00:15,  1.94it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.917:  67%|██████▋   | 61/91 [00:30<00:15,  1.97it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.918:  67%|██████▋   | 61/91 [00:31<00:15,  1.94it/s]
Epoch 23, validation pixAcc: 0.981, mIoU: 0.918:  68%|██████▊   | 62/91 [00:31<00:14,  1.98it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.918:  68%|██████▊   | 62/91 [00:31<00:14,  1.95it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.918:  69%|██████▉   | 63/91 [00:31<00:14,  1.98it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.918:  69%|██████▉   | 63/91 [00:32<00:14,  1.95it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.918:  70%|███████   | 64/91 [00:32<00:13,  1.98it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.919:  70%|███████   | 64/91 [00:32<00:13,  1.96it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.919:  71%|███████▏  | 65/91 [00:32<00:13,  1.99it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.919:  71%|███████▏  | 65/91 [00:33<00:13,  1.96it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.919:  73%|███████▎  | 66/91 [00:33<00:12,  1.99it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.919:  73%|███████▎  | 66/91 [00:33<00:12,  1.97it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.919:  74%|███████▎  | 67/91 [00:33<00:12,  2.00it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.919:  74%|███████▎  | 67/91 [00:33<00:12,  1.97it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.919:  75%|███████▍  | 68/91 [00:33<00:11,  2.00it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.919:  75%|███████▍  | 68/91 [00:34<00:11,  1.97it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.919:  76%|███████▌  | 69/91 [00:34<00:10,  2.00it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.919:  76%|███████▌  | 69/91 [00:34<00:11,  1.98it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.919:  77%|███████▋  | 70/91 [00:34<00:10,  2.00it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.920:  77%|███████▋  | 70/91 [00:35<00:10,  1.98it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.920:  78%|███████▊  | 71/91 [00:35<00:09,  2.01it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.920:  78%|███████▊  | 71/91 [00:35<00:10,  1.98it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.920:  79%|███████▉  | 72/91 [00:35<00:09,  2.01it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.920:  79%|███████▉  | 72/91 [00:36<00:09,  1.99it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.920:  80%|████████  | 73/91 [00:36<00:08,  2.01it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.920:  80%|████████  | 73/91 [00:36<00:09,  1.99it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.920:  81%|████████▏ | 74/91 [00:36<00:08,  2.02it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.920:  81%|████████▏ | 74/91 [00:37<00:08,  1.99it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.920:  82%|████████▏ | 75/91 [00:37<00:07,  2.02it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.921:  82%|████████▏ | 75/91 [00:37<00:08,  2.00it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.921:  84%|████████▎ | 76/91 [00:37<00:07,  2.02it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.921:  84%|████████▎ | 76/91 [00:37<00:07,  2.00it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.921:  85%|████████▍ | 77/91 [00:37<00:06,  2.03it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.921:  85%|████████▍ | 77/91 [00:38<00:06,  2.01it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.921:  86%|████████▌ | 78/91 [00:38<00:06,  2.03it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.921:  86%|████████▌ | 78/91 [00:38<00:06,  2.01it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.921:  87%|████████▋ | 79/91 [00:38<00:05,  2.04it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.922:  87%|████████▋ | 79/91 [00:39<00:05,  2.02it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.922:  88%|████████▊ | 80/91 [00:39<00:05,  2.04it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.922:  88%|████████▊ | 80/91 [00:39<00:05,  2.02it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.922:  89%|████████▉ | 81/91 [00:39<00:04,  2.05it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.922:  89%|████████▉ | 81/91 [00:40<00:04,  2.02it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.922:  90%|█████████ | 82/91 [00:40<00:04,  2.05it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  90%|█████████ | 82/91 [00:40<00:04,  2.03it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  91%|█████████ | 83/91 [00:40<00:03,  2.05it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  91%|█████████ | 83/91 [00:40<00:03,  2.03it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  92%|█████████▏| 84/91 [00:40<00:03,  2.05it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  92%|█████████▏| 84/91 [00:41<00:03,  2.03it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  93%|█████████▎| 85/91 [00:41<00:02,  2.06it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  93%|█████████▎| 85/91 [00:41<00:02,  2.04it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  95%|█████████▍| 86/91 [00:41<00:02,  2.06it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  95%|█████████▍| 86/91 [00:42<00:02,  2.04it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  96%|█████████▌| 87/91 [00:42<00:01,  2.07it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  96%|█████████▌| 87/91 [00:42<00:01,  2.05it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  97%|█████████▋| 88/91 [00:42<00:01,  2.07it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  97%|█████████▋| 88/91 [00:42<00:01,  2.05it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  98%|█████████▊| 89/91 [00:42<00:00,  2.08it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  98%|█████████▊| 89/91 [00:43<00:00,  2.06it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.923:  99%|█████████▉| 90/91 [00:43<00:00,  2.08it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.922:  99%|█████████▉| 90/91 [00:43<00:00,  2.06it/s]
Epoch 23, validation pixAcc: 0.982, mIoU: 0.922: 100%|██████████| 91/91 [00:43<00:00,  2.08it/s]

  0%|          | 0/182 [00:00<?, ?it/s]
Epoch 24, training loss 0.072:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 24, training loss 0.072:   1%|          | 1/182 [00:05<16:24,  5.44s/it]
Epoch 24, training loss 0.205:   1%|          | 1/182 [00:06<18:47,  6.23s/it]
Epoch 24, training loss 0.205:   1%|          | 2/182 [00:06<10:05,  3.36s/it]
Epoch 24, training loss 0.148:   1%|          | 2/182 [00:07<11:09,  3.72s/it]
Epoch 24, training loss 0.148:   2%|▏         | 3/182 [00:07<07:53,  2.65s/it]
Epoch 24, training loss 0.119:   2%|▏         | 3/182 [00:08<08:32,  2.86s/it]
Epoch 24, training loss 0.119:   2%|▏         | 4/182 [00:09<06:44,  2.27s/it]
Epoch 24, training loss 0.103:   2%|▏         | 4/182 [00:09<07:11,  2.42s/it]
Epoch 24, training loss 0.103:   3%|▎         | 5/182 [00:10<06:01,  2.04s/it]
Epoch 24, training loss 0.091:   3%|▎         | 5/182 [00:10<06:23,  2.17s/it]
Epoch 24, training loss 0.091:   3%|▎         | 6/182 [00:11<05:33,  1.90s/it]
Epoch 24, training loss 0.091:   3%|▎         | 6/182 [00:12<05:53,  2.01s/it]
Epoch 24, training loss 0.091:   4%|▍         | 7/182 [00:12<05:13,  1.79s/it]
Epoch 24, training loss 0.115:   4%|▍         | 7/182 [00:13<05:28,  1.88s/it]
Epoch 24, training loss 0.115:   4%|▍         | 8/182 [00:13<04:56,  1.71s/it]
Epoch 24, training loss 0.115:   4%|▍         | 8/182 [00:14<05:13,  1.80s/it]
Epoch 24, training loss 0.115:   5%|▍         | 9/182 [00:14<04:46,  1.66s/it]
Epoch 24, training loss 0.127:   5%|▍         | 9/182 [00:15<04:59,  1.73s/it]
Epoch 24, training loss 0.127:   5%|▌         | 10/182 [00:16<04:36,  1.61s/it]
Epoch 24, training loss 0.128:   5%|▌         | 10/182 [00:16<04:47,  1.67s/it]
Epoch 24, training loss 0.128:   6%|▌         | 11/182 [00:17<04:28,  1.57s/it]
Epoch 24, training loss 0.120:   6%|▌         | 11/182 [00:17<04:37,  1.62s/it]
Epoch 24, training loss 0.120:   7%|▋         | 12/182 [00:18<04:20,  1.53s/it]
Epoch 24, training loss 0.121:   7%|▋         | 12/182 [00:19<04:29,  1.59s/it]
Epoch 24, training loss 0.121:   7%|▋         | 13/182 [00:19<04:14,  1.50s/it]
Epoch 24, training loss 0.122:   7%|▋         | 13/182 [00:20<04:23,  1.56s/it]
Epoch 24, training loss 0.122:   8%|▊         | 14/182 [00:20<04:08,  1.48s/it]
Epoch 24, training loss 0.117:   8%|▊         | 14/182 [00:21<04:18,  1.54s/it]
Epoch 24, training loss 0.117:   8%|▊         | 15/182 [00:22<04:05,  1.47s/it]
Epoch 24, training loss 0.113:   8%|▊         | 15/182 [00:22<04:12,  1.51s/it]
Epoch 24, training loss 0.113:   9%|▉         | 16/182 [00:23<04:00,  1.45s/it]
Epoch 24, training loss 0.114:   9%|▉         | 16/182 [00:23<04:07,  1.49s/it]
Epoch 24, training loss 0.114:   9%|▉         | 17/182 [00:24<03:56,  1.43s/it]
Epoch 24, training loss 0.113:   9%|▉         | 17/182 [00:24<04:02,  1.47s/it]
Epoch 24, training loss 0.113:  10%|▉         | 18/182 [00:25<03:52,  1.42s/it]
Epoch 24, training loss 0.110:  10%|▉         | 18/182 [00:26<03:58,  1.45s/it]
Epoch 24, training loss 0.110:  10%|█         | 19/182 [00:26<03:48,  1.40s/it]
Epoch 24, training loss 0.112:  10%|█         | 19/182 [00:27<03:53,  1.43s/it]
Epoch 24, training loss 0.112:  11%|█         | 20/182 [00:27<03:44,  1.39s/it]
Epoch 24, training loss 0.108:  11%|█         | 20/182 [00:28<03:49,  1.42s/it]
Epoch 24, training loss 0.108:  12%|█▏        | 21/182 [00:28<03:40,  1.37s/it]
Epoch 24, training loss 0.110:  12%|█▏        | 21/182 [00:29<03:45,  1.40s/it]
Epoch 24, training loss 0.110:  12%|█▏        | 22/182 [00:29<03:37,  1.36s/it]
Epoch 24, training loss 0.114:  12%|█▏        | 22/182 [00:30<03:41,  1.39s/it]
Epoch 24, training loss 0.114:  13%|█▎        | 23/182 [00:31<03:34,  1.35s/it]
Epoch 24, training loss 0.117:  13%|█▎        | 23/182 [00:31<03:38,  1.38s/it]
Epoch 24, training loss 0.117:  13%|█▎        | 24/182 [00:32<03:31,  1.34s/it]
Epoch 24, training loss 0.117:  13%|█▎        | 24/182 [00:32<03:36,  1.37s/it]
Epoch 24, training loss 0.117:  14%|█▎        | 25/182 [00:33<03:29,  1.33s/it]
Epoch 24, training loss 0.114:  14%|█▎        | 25/182 [00:34<03:34,  1.36s/it]
Epoch 24, training loss 0.114:  14%|█▍        | 26/182 [00:34<03:27,  1.33s/it]
Epoch 24, training loss 0.115:  14%|█▍        | 26/182 [00:35<03:31,  1.36s/it]
Epoch 24, training loss 0.115:  15%|█▍        | 27/182 [00:35<03:25,  1.33s/it]
Epoch 24, training loss 0.112:  15%|█▍        | 27/182 [00:36<03:29,  1.35s/it]
Epoch 24, training loss 0.112:  15%|█▌        | 28/182 [00:37<03:23,  1.32s/it]
Epoch 24, training loss 0.111:  15%|█▌        | 28/182 [00:37<03:26,  1.34s/it]
Epoch 24, training loss 0.111:  16%|█▌        | 29/182 [00:38<03:20,  1.31s/it]
Epoch 24, training loss 0.112:  16%|█▌        | 29/182 [00:38<03:24,  1.34s/it]
Epoch 24, training loss 0.112:  16%|█▋        | 30/182 [00:39<03:18,  1.31s/it]
Epoch 24, training loss 0.112:  16%|█▋        | 30/182 [00:39<03:22,  1.33s/it]
Epoch 24, training loss 0.112:  17%|█▋        | 31/182 [00:40<03:16,  1.30s/it]
Epoch 24, training loss 0.114:  17%|█▋        | 31/182 [00:40<03:19,  1.32s/it]
Epoch 24, training loss 0.114:  18%|█▊        | 32/182 [00:41<03:14,  1.30s/it]
Epoch 24, training loss 0.115:  18%|█▊        | 32/182 [00:42<03:17,  1.32s/it]
Epoch 24, training loss 0.115:  18%|█▊        | 33/182 [00:42<03:12,  1.29s/it]
Epoch 24, training loss 0.114:  18%|█▊        | 33/182 [00:43<03:15,  1.31s/it]
Epoch 24, training loss 0.114:  19%|█▊        | 34/182 [00:43<03:10,  1.29s/it]
Epoch 24, training loss 0.112:  19%|█▊        | 34/182 [00:44<03:13,  1.31s/it]
Epoch 24, training loss 0.112:  19%|█▉        | 35/182 [00:44<03:08,  1.28s/it]
Epoch 24, training loss 0.115:  19%|█▉        | 35/182 [00:45<03:11,  1.30s/it]
Epoch 24, training loss 0.115:  20%|█▉        | 36/182 [00:46<03:06,  1.28s/it]
Epoch 24, training loss 0.114:  20%|█▉        | 36/182 [00:46<03:09,  1.30s/it]
Epoch 24, training loss 0.114:  20%|██        | 37/182 [00:47<03:04,  1.28s/it]
Epoch 24, training loss 0.115:  20%|██        | 37/182 [00:47<03:07,  1.29s/it]
Epoch 24, training loss 0.115:  21%|██        | 38/182 [00:48<03:03,  1.27s/it]
Epoch 24, training loss 0.113:  21%|██        | 38/182 [00:48<03:05,  1.29s/it]
Epoch 24, training loss 0.113:  21%|██▏       | 39/182 [00:49<03:01,  1.27s/it]
Epoch 24, training loss 0.112:  21%|██▏       | 39/182 [00:50<03:03,  1.29s/it]
Epoch 24, training loss 0.112:  22%|██▏       | 40/182 [00:50<02:59,  1.27s/it]
Epoch 24, training loss 0.111:  22%|██▏       | 40/182 [00:51<03:01,  1.28s/it]
Epoch 24, training loss 0.111:  23%|██▎       | 41/182 [00:51<02:57,  1.26s/it]
Epoch 24, training loss 0.113:  23%|██▎       | 41/182 [00:52<03:00,  1.28s/it]
Epoch 24, training loss 0.113:  23%|██▎       | 42/182 [00:52<02:56,  1.26s/it]
Epoch 24, training loss 0.111:  23%|██▎       | 42/182 [00:53<02:58,  1.28s/it]
Epoch 24, training loss 0.111:  24%|██▎       | 43/182 [00:54<02:55,  1.26s/it]
Epoch 24, training loss 0.110:  24%|██▎       | 43/182 [00:54<02:57,  1.27s/it]
Epoch 24, training loss 0.110:  24%|██▍       | 44/182 [00:55<02:53,  1.26s/it]
Epoch 24, training loss 0.108:  24%|██▍       | 44/182 [00:55<02:55,  1.27s/it]
Epoch 24, training loss 0.108:  25%|██▍       | 45/182 [00:56<02:51,  1.25s/it]
Epoch 24, training loss 0.107:  25%|██▍       | 45/182 [00:57<02:53,  1.27s/it]
Epoch 24, training loss 0.107:  25%|██▌       | 46/182 [00:57<02:50,  1.25s/it]
Epoch 24, training loss 0.105:  25%|██▌       | 46/182 [00:58<02:51,  1.26s/it]
Epoch 24, training loss 0.105:  26%|██▌       | 47/182 [00:58<02:48,  1.25s/it]
Epoch 24, training loss 0.105:  26%|██▌       | 47/182 [00:59<02:50,  1.26s/it]
Epoch 24, training loss 0.105:  26%|██▋       | 48/182 [00:59<02:46,  1.25s/it]
Epoch 24, training loss 0.108:  26%|██▋       | 48/182 [01:00<02:48,  1.26s/it]
Epoch 24, training loss 0.108:  27%|██▋       | 49/182 [01:00<02:45,  1.24s/it]
Epoch 24, training loss 0.109:  27%|██▋       | 49/182 [01:01<02:46,  1.25s/it]
Epoch 24, training loss 0.109:  27%|██▋       | 50/182 [01:01<02:43,  1.24s/it]
Epoch 24, training loss 0.109:  27%|██▋       | 50/182 [01:02<02:45,  1.25s/it]
Epoch 24, training loss 0.109:  28%|██▊       | 51/182 [01:03<02:42,  1.24s/it]
Epoch 24, training loss 0.108:  28%|██▊       | 51/182 [01:03<02:43,  1.25s/it]
Epoch 24, training loss 0.108:  29%|██▊       | 52/182 [01:04<02:40,  1.24s/it]
Epoch 24, training loss 0.108:  29%|██▊       | 52/182 [01:04<02:42,  1.25s/it]
Epoch 24, training loss 0.108:  29%|██▉       | 53/182 [01:05<02:39,  1.23s/it]
Epoch 24, training loss 0.107:  29%|██▉       | 53/182 [01:06<02:40,  1.25s/it]
Epoch 24, training loss 0.107:  30%|██▉       | 54/182 [01:06<02:37,  1.23s/it]
Epoch 24, training loss 0.106:  30%|██▉       | 54/182 [01:07<02:39,  1.25s/it]
Epoch 24, training loss 0.106:  30%|███       | 55/182 [01:07<02:36,  1.23s/it]
Epoch 24, training loss 0.105:  30%|███       | 55/182 [01:08<02:38,  1.25s/it]
Epoch 24, training loss 0.105:  31%|███       | 56/182 [01:09<02:35,  1.23s/it]
Epoch 24, training loss 0.105:  31%|███       | 56/182 [01:09<02:36,  1.25s/it]
Epoch 24, training loss 0.105:  31%|███▏      | 57/182 [01:10<02:34,  1.23s/it]
Epoch 24, training loss 0.104:  31%|███▏      | 57/182 [01:10<02:35,  1.24s/it]
Epoch 24, training loss 0.104:  32%|███▏      | 58/182 [01:11<02:32,  1.23s/it]
Epoch 24, training loss 0.103:  32%|███▏      | 58/182 [01:12<02:33,  1.24s/it]
Epoch 24, training loss 0.103:  32%|███▏      | 59/182 [01:12<02:31,  1.23s/it]
Epoch 24, training loss 0.103:  32%|███▏      | 59/182 [01:13<02:32,  1.24s/it]
Epoch 24, training loss 0.103:  33%|███▎      | 60/182 [01:13<02:29,  1.23s/it]
Epoch 24, training loss 0.104:  33%|███▎      | 60/182 [01:14<02:31,  1.24s/it]
Epoch 24, training loss 0.104:  34%|███▎      | 61/182 [01:14<02:28,  1.23s/it]
Epoch 24, training loss 0.103:  34%|███▎      | 61/182 [01:15<02:29,  1.24s/it]
Epoch 24, training loss 0.103:  34%|███▍      | 62/182 [01:16<02:27,  1.23s/it]
Epoch 24, training loss 0.103:  34%|███▍      | 62/182 [01:16<02:28,  1.24s/it]
Epoch 24, training loss 0.103:  35%|███▍      | 63/182 [01:17<02:25,  1.23s/it]
Epoch 24, training loss 0.102:  35%|███▍      | 63/182 [01:17<02:27,  1.24s/it]
Epoch 24, training loss 0.102:  35%|███▌      | 64/182 [01:18<02:24,  1.22s/it]
Epoch 24, training loss 0.103:  35%|███▌      | 64/182 [01:18<02:25,  1.23s/it]
Epoch 24, training loss 0.103:  36%|███▌      | 65/182 [01:19<02:23,  1.22s/it]
Epoch 24, training loss 0.102:  36%|███▌      | 65/182 [01:20<02:24,  1.23s/it]
Epoch 24, training loss 0.102:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 24, training loss 0.102:  36%|███▋      | 66/182 [01:21<02:22,  1.23s/it]
Epoch 24, training loss 0.102:  37%|███▋      | 67/182 [01:21<02:20,  1.22s/it]
Epoch 24, training loss 0.103:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 24, training loss 0.103:  37%|███▋      | 68/182 [01:23<02:19,  1.22s/it]
Epoch 24, training loss 0.102:  37%|███▋      | 68/182 [01:23<02:20,  1.23s/it]
Epoch 24, training loss 0.102:  38%|███▊      | 69/182 [01:24<02:18,  1.22s/it]
Epoch 24, training loss 0.102:  38%|███▊      | 69/182 [01:25<02:19,  1.23s/it]
Epoch 24, training loss 0.102:  38%|███▊      | 70/182 [01:25<02:16,  1.22s/it]
Epoch 24, training loss 0.103:  38%|███▊      | 70/182 [01:26<02:17,  1.23s/it]
Epoch 24, training loss 0.103:  39%|███▉      | 71/182 [01:26<02:15,  1.22s/it]
Epoch 24, training loss 0.102:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 24, training loss 0.102:  40%|███▉      | 72/182 [01:27<02:14,  1.22s/it]
Epoch 24, training loss 0.103:  40%|███▉      | 72/182 [01:28<02:15,  1.23s/it]
Epoch 24, training loss 0.103:  40%|████      | 73/182 [01:28<02:12,  1.22s/it]
Epoch 24, training loss 0.102:  40%|████      | 73/182 [01:29<02:13,  1.23s/it]
Epoch 24, training loss 0.102:  41%|████      | 74/182 [01:30<02:11,  1.22s/it]
Epoch 24, training loss 0.102:  41%|████      | 74/182 [01:30<02:12,  1.23s/it]
Epoch 24, training loss 0.102:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 24, training loss 0.103:  41%|████      | 75/182 [01:31<02:11,  1.23s/it]
Epoch 24, training loss 0.103:  42%|████▏     | 76/182 [01:32<02:08,  1.22s/it]
Epoch 24, training loss 0.102:  42%|████▏     | 76/182 [01:33<02:09,  1.22s/it]
Epoch 24, training loss 0.102:  42%|████▏     | 77/182 [01:33<02:07,  1.21s/it]
Epoch 24, training loss 0.103:  42%|████▏     | 77/182 [01:34<02:08,  1.22s/it]
Epoch 24, training loss 0.103:  43%|████▎     | 78/182 [01:34<02:06,  1.22s/it]
Epoch 24, training loss 0.104:  43%|████▎     | 78/182 [01:35<02:07,  1.22s/it]
Epoch 24, training loss 0.104:  43%|████▎     | 79/182 [01:35<02:05,  1.21s/it]
Epoch 24, training loss 0.111:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
Epoch 24, training loss 0.111:  44%|████▍     | 80/182 [01:37<02:03,  1.21s/it]
Epoch 24, training loss 0.110:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 24, training loss 0.110:  45%|████▍     | 81/182 [01:38<02:02,  1.21s/it]
Epoch 24, training loss 0.109:  45%|████▍     | 81/182 [01:38<02:03,  1.22s/it]
Epoch 24, training loss 0.109:  45%|████▌     | 82/182 [01:39<02:01,  1.21s/it]
Epoch 24, training loss 0.109:  45%|████▌     | 82/182 [01:40<02:01,  1.22s/it]
Epoch 24, training loss 0.109:  46%|████▌     | 83/182 [01:40<01:59,  1.21s/it]
Epoch 24, training loss 0.110:  46%|████▌     | 83/182 [01:41<02:00,  1.22s/it]
Epoch 24, training loss 0.110:  46%|████▌     | 84/182 [01:41<01:58,  1.21s/it]
Epoch 24, training loss 0.112:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 24, training loss 0.112:  47%|████▋     | 85/182 [01:42<01:57,  1.21s/it]
Epoch 24, training loss 0.114:  47%|████▋     | 85/182 [01:43<01:58,  1.22s/it]
Epoch 24, training loss 0.114:  47%|████▋     | 86/182 [01:44<01:56,  1.21s/it]
Epoch 24, training loss 0.113:  47%|████▋     | 86/182 [01:44<01:56,  1.22s/it]
Epoch 24, training loss 0.113:  48%|████▊     | 87/182 [01:45<01:54,  1.21s/it]
Epoch 24, training loss 0.112:  48%|████▊     | 87/182 [01:45<01:55,  1.22s/it]
Epoch 24, training loss 0.112:  48%|████▊     | 88/182 [01:46<01:53,  1.21s/it]
Epoch 24, training loss 0.112:  48%|████▊     | 88/182 [01:46<01:54,  1.22s/it]
Epoch 24, training loss 0.112:  49%|████▉     | 89/182 [01:47<01:52,  1.21s/it]
Epoch 24, training loss 0.111:  49%|████▉     | 89/182 [01:48<01:52,  1.21s/it]
Epoch 24, training loss 0.111:  49%|████▉     | 90/182 [01:48<01:50,  1.21s/it]
Epoch 24, training loss 0.110:  49%|████▉     | 90/182 [01:49<01:51,  1.21s/it]
Epoch 24, training loss 0.110:  50%|█████     | 91/182 [01:49<01:49,  1.21s/it]
Epoch 24, training loss 0.110:  50%|█████     | 91/182 [01:50<01:50,  1.21s/it]
Epoch 24, training loss 0.110:  51%|█████     | 92/182 [01:50<01:48,  1.20s/it]
Epoch 24, training loss 0.111:  51%|█████     | 92/182 [01:51<01:48,  1.21s/it]
Epoch 24, training loss 0.111:  51%|█████     | 93/182 [01:51<01:47,  1.20s/it]
Epoch 24, training loss 0.110:  51%|█████     | 93/182 [01:52<01:47,  1.21s/it]
Epoch 24, training loss 0.110:  52%|█████▏    | 94/182 [01:53<01:45,  1.20s/it]
Epoch 24, training loss 0.109:  52%|█████▏    | 94/182 [01:53<01:46,  1.21s/it]
Epoch 24, training loss 0.109:  52%|█████▏    | 95/182 [01:54<01:44,  1.20s/it]
Epoch 24, training loss 0.109:  52%|█████▏    | 95/182 [01:54<01:45,  1.21s/it]
Epoch 24, training loss 0.109:  53%|█████▎    | 96/182 [01:55<01:43,  1.20s/it]
Epoch 24, training loss 0.109:  53%|█████▎    | 96/182 [01:56<01:44,  1.21s/it]
Epoch 24, training loss 0.109:  53%|█████▎    | 97/182 [01:56<01:42,  1.20s/it]
Epoch 24, training loss 0.109:  53%|█████▎    | 97/182 [01:57<01:42,  1.21s/it]
Epoch 24, training loss 0.109:  54%|█████▍    | 98/182 [01:57<01:40,  1.20s/it]
Epoch 24, training loss 0.108:  54%|█████▍    | 98/182 [01:58<01:41,  1.21s/it]
Epoch 24, training loss 0.108:  54%|█████▍    | 99/182 [01:58<01:39,  1.20s/it]
Epoch 24, training loss 0.109:  54%|█████▍    | 99/182 [01:59<01:40,  1.21s/it]
Epoch 24, training loss 0.109:  55%|█████▍    | 100/182 [02:00<01:38,  1.20s/it]
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Epoch 24, training loss 0.109:  55%|█████▌    | 101/182 [02:01<01:37,  1.20s/it]
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Epoch 24, training loss 0.109:  56%|█████▌    | 102/182 [02:02<01:36,  1.20s/it]
Epoch 24, training loss 0.109:  57%|█████▋    | 103/182 [02:03<01:34,  1.20s/it]
Epoch 24, training loss 0.108:  57%|█████▋    | 103/182 [02:03<01:35,  1.20s/it]
Epoch 24, training loss 0.108:  57%|█████▋    | 104/182 [02:04<01:33,  1.20s/it]
Epoch 24, training loss 0.109:  57%|█████▋    | 104/182 [02:05<01:33,  1.20s/it]
Epoch 24, training loss 0.109:  58%|█████▊    | 105/182 [02:05<01:32,  1.20s/it]
Epoch 24, training loss 0.109:  58%|█████▊    | 105/182 [02:06<01:32,  1.20s/it]
Epoch 24, training loss 0.109:  58%|█████▊    | 106/182 [02:06<01:30,  1.20s/it]
Epoch 24, training loss 0.110:  58%|█████▊    | 106/182 [02:07<01:31,  1.20s/it]
Epoch 24, training loss 0.110:  59%|█████▉    | 107/182 [02:08<01:29,  1.20s/it]
Epoch 24, training loss 0.110:  59%|█████▉    | 107/182 [02:08<01:30,  1.20s/it]
Epoch 24, training loss 0.110:  59%|█████▉    | 108/182 [02:09<01:28,  1.20s/it]
Epoch 24, training loss 0.110:  59%|█████▉    | 108/182 [02:09<01:28,  1.20s/it]
Epoch 24, training loss 0.110:  60%|█████▉    | 109/182 [02:10<01:27,  1.20s/it]
Epoch 24, training loss 0.111:  60%|█████▉    | 109/182 [02:10<01:27,  1.20s/it]
Epoch 24, training loss 0.111:  60%|██████    | 110/182 [02:11<01:26,  1.20s/it]
Epoch 24, training loss 0.111:  60%|██████    | 110/182 [02:12<01:26,  1.20s/it]
Epoch 24, training loss 0.111:  61%|██████    | 111/182 [02:12<01:24,  1.19s/it]
Epoch 24, training loss 0.112:  61%|██████    | 111/182 [02:13<01:25,  1.20s/it]
Epoch 24, training loss 0.112:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 24, training loss 0.112:  62%|██████▏   | 112/182 [02:14<01:23,  1.20s/it]
Epoch 24, training loss 0.112:  62%|██████▏   | 113/182 [02:14<01:22,  1.19s/it]
Epoch 24, training loss 0.111:  62%|██████▏   | 113/182 [02:15<01:22,  1.20s/it]
Epoch 24, training loss 0.111:  63%|██████▎   | 114/182 [02:15<01:21,  1.19s/it]
Epoch 24, training loss 0.111:  63%|██████▎   | 114/182 [02:16<01:21,  1.20s/it]
Epoch 24, training loss 0.111:  63%|██████▎   | 115/182 [02:17<01:19,  1.19s/it]
Epoch 24, training loss 0.112:  63%|██████▎   | 115/182 [02:17<01:20,  1.20s/it]
Epoch 24, training loss 0.112:  64%|██████▎   | 116/182 [02:18<01:18,  1.19s/it]
Epoch 24, training loss 0.112:  64%|██████▎   | 116/182 [02:18<01:18,  1.20s/it]
Epoch 24, training loss 0.112:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 24, training loss 0.113:  64%|██████▍   | 117/182 [02:19<01:17,  1.20s/it]
Epoch 24, training loss 0.113:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 24, training loss 0.113:  65%|██████▍   | 118/182 [02:21<01:16,  1.20s/it]
Epoch 24, training loss 0.113:  65%|██████▌   | 119/182 [02:21<01:14,  1.19s/it]
Epoch 24, training loss 0.112:  65%|██████▌   | 119/182 [02:22<01:15,  1.19s/it]
Epoch 24, training loss 0.112:  66%|██████▌   | 120/182 [02:22<01:13,  1.19s/it]
Epoch 24, training loss 0.112:  66%|██████▌   | 120/182 [02:23<01:14,  1.19s/it]
Epoch 24, training loss 0.112:  66%|██████▋   | 121/182 [02:23<01:12,  1.19s/it]
Epoch 24, training loss 0.112:  66%|██████▋   | 121/182 [02:24<01:12,  1.19s/it]
Epoch 24, training loss 0.112:  67%|██████▋   | 122/182 [02:24<01:11,  1.19s/it]
Epoch 24, training loss 0.116:  67%|██████▋   | 122/182 [02:25<01:11,  1.19s/it]
Epoch 24, training loss 0.116:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 24, training loss 0.115:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 24, training loss 0.115:  68%|██████▊   | 124/182 [02:27<01:08,  1.19s/it]
Epoch 24, training loss 0.115:  68%|██████▊   | 124/182 [02:27<01:09,  1.19s/it]
Epoch 24, training loss 0.115:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 24, training loss 0.114:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 24, training loss 0.114:  69%|██████▉   | 126/182 [02:29<01:06,  1.19s/it]
Epoch 24, training loss 0.114:  69%|██████▉   | 126/182 [02:30<01:06,  1.19s/it]
Epoch 24, training loss 0.114:  70%|██████▉   | 127/182 [02:30<01:05,  1.19s/it]
Epoch 24, training loss 0.113:  70%|██████▉   | 127/182 [02:31<01:05,  1.19s/it]
Epoch 24, training loss 0.113:  70%|███████   | 128/182 [02:31<01:04,  1.19s/it]
Epoch 24, training loss 0.114:  70%|███████   | 128/182 [02:32<01:04,  1.19s/it]
Epoch 24, training loss 0.114:  71%|███████   | 129/182 [02:32<01:02,  1.19s/it]
Epoch 24, training loss 0.114:  71%|███████   | 129/182 [02:33<01:03,  1.19s/it]
Epoch 24, training loss 0.114:  71%|███████▏  | 130/182 [02:33<01:01,  1.18s/it]
Epoch 24, training loss 0.113:  71%|███████▏  | 130/182 [02:34<01:01,  1.19s/it]
Epoch 24, training loss 0.113:  72%|███████▏  | 131/182 [02:35<01:00,  1.18s/it]
Epoch 24, training loss 0.113:  72%|███████▏  | 131/182 [02:35<01:00,  1.19s/it]
Epoch 24, training loss 0.113:  73%|███████▎  | 132/182 [02:36<00:59,  1.18s/it]
Epoch 24, training loss 0.113:  73%|███████▎  | 132/182 [02:36<00:59,  1.19s/it]
Epoch 24, training loss 0.113:  73%|███████▎  | 133/182 [02:37<00:58,  1.18s/it]
Epoch 24, training loss 0.113:  73%|███████▎  | 133/182 [02:38<00:58,  1.19s/it]
Epoch 24, training loss 0.113:  74%|███████▎  | 134/182 [02:38<00:56,  1.18s/it]
Epoch 24, training loss 0.113:  74%|███████▎  | 134/182 [02:39<00:57,  1.19s/it]
Epoch 24, training loss 0.113:  74%|███████▍  | 135/182 [02:39<00:55,  1.18s/it]
Epoch 24, training loss 0.113:  74%|███████▍  | 135/182 [02:40<00:55,  1.19s/it]
Epoch 24, training loss 0.113:  75%|███████▍  | 136/182 [02:40<00:54,  1.18s/it]
Epoch 24, training loss 0.113:  75%|███████▍  | 136/182 [02:41<00:54,  1.19s/it]
Epoch 24, training loss 0.113:  75%|███████▌  | 137/182 [02:41<00:53,  1.18s/it]
Epoch 24, training loss 0.113:  75%|███████▌  | 137/182 [02:42<00:53,  1.19s/it]
Epoch 24, training loss 0.113:  76%|███████▌  | 138/182 [02:42<00:51,  1.18s/it]
Epoch 24, training loss 0.114:  76%|███████▌  | 138/182 [02:43<00:52,  1.19s/it]
Epoch 24, training loss 0.114:  76%|███████▋  | 139/182 [02:44<00:50,  1.18s/it]
Epoch 24, training loss 0.113:  76%|███████▋  | 139/182 [02:44<00:50,  1.19s/it]
Epoch 24, training loss 0.113:  77%|███████▋  | 140/182 [02:45<00:49,  1.18s/it]
Epoch 24, training loss 0.113:  77%|███████▋  | 140/182 [02:45<00:49,  1.19s/it]
Epoch 24, training loss 0.113:  77%|███████▋  | 141/182 [02:46<00:48,  1.18s/it]
Epoch 24, training loss 0.113:  77%|███████▋  | 141/182 [02:47<00:48,  1.18s/it]
Epoch 24, training loss 0.113:  78%|███████▊  | 142/182 [02:47<00:47,  1.18s/it]
Epoch 24, training loss 0.113:  78%|███████▊  | 142/182 [02:48<00:47,  1.18s/it]
Epoch 24, training loss 0.113:  79%|███████▊  | 143/182 [02:48<00:45,  1.18s/it]
Epoch 24, training loss 0.114:  79%|███████▊  | 143/182 [02:49<00:46,  1.18s/it]
Epoch 24, training loss 0.114:  79%|███████▉  | 144/182 [02:49<00:44,  1.18s/it]
Epoch 24, training loss 0.113:  79%|███████▉  | 144/182 [02:50<00:44,  1.18s/it]
Epoch 24, training loss 0.113:  80%|███████▉  | 145/182 [02:50<00:43,  1.18s/it]
Epoch 24, training loss 0.112:  80%|███████▉  | 145/182 [02:51<00:43,  1.18s/it]
Epoch 24, training loss 0.112:  80%|████████  | 146/182 [02:51<00:42,  1.18s/it]
Epoch 24, training loss 0.112:  80%|████████  | 146/182 [02:52<00:42,  1.18s/it]
Epoch 24, training loss 0.112:  81%|████████  | 147/182 [02:52<00:41,  1.18s/it]
Epoch 24, training loss 0.112:  81%|████████  | 147/182 [02:53<00:41,  1.18s/it]
Epoch 24, training loss 0.112:  81%|████████▏ | 148/182 [02:54<00:39,  1.18s/it]
Epoch 24, training loss 0.112:  81%|████████▏ | 148/182 [02:54<00:40,  1.18s/it]
Epoch 24, training loss 0.112:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 24, training loss 0.112:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 24, training loss 0.112:  82%|████████▏ | 150/182 [02:56<00:37,  1.18s/it]
Epoch 24, training loss 0.112:  82%|████████▏ | 150/182 [02:56<00:37,  1.18s/it]
Epoch 24, training loss 0.112:  83%|████████▎ | 151/182 [02:57<00:36,  1.17s/it]
Epoch 24, training loss 0.112:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 24, training loss 0.112:  84%|████████▎ | 152/182 [02:58<00:35,  1.18s/it]
Epoch 24, training loss 0.111:  84%|████████▎ | 152/182 [02:59<00:35,  1.18s/it]
Epoch 24, training loss 0.111:  84%|████████▍ | 153/182 [02:59<00:34,  1.18s/it]
Epoch 24, training loss 0.111:  84%|████████▍ | 153/182 [03:00<00:34,  1.18s/it]
Epoch 24, training loss 0.111:  85%|████████▍ | 154/182 [03:01<00:32,  1.18s/it]
Epoch 24, training loss 0.111:  85%|████████▍ | 154/182 [03:01<00:33,  1.18s/it]
Epoch 24, training loss 0.111:  85%|████████▌ | 155/182 [03:02<00:31,  1.18s/it]
Epoch 24, training loss 0.111:  85%|████████▌ | 155/182 [03:02<00:31,  1.18s/it]
Epoch 24, training loss 0.111:  86%|████████▌ | 156/182 [03:03<00:30,  1.17s/it]
Epoch 24, training loss 0.111:  86%|████████▌ | 156/182 [03:03<00:30,  1.18s/it]
Epoch 24, training loss 0.111:  86%|████████▋ | 157/182 [03:04<00:29,  1.17s/it]
Epoch 24, training loss 0.111:  86%|████████▋ | 157/182 [03:04<00:29,  1.18s/it]
Epoch 24, training loss 0.111:  87%|████████▋ | 158/182 [03:05<00:28,  1.17s/it]
Epoch 24, training loss 0.111:  87%|████████▋ | 158/182 [03:06<00:28,  1.18s/it]
Epoch 24, training loss 0.111:  87%|████████▋ | 159/182 [03:06<00:26,  1.17s/it]
Epoch 24, training loss 0.111:  87%|████████▋ | 159/182 [03:07<00:27,  1.18s/it]
Epoch 24, training loss 0.111:  88%|████████▊ | 160/182 [03:07<00:25,  1.17s/it]
Epoch 24, training loss 0.111:  88%|████████▊ | 160/182 [03:08<00:25,  1.18s/it]
Epoch 24, training loss 0.111:  88%|████████▊ | 161/182 [03:08<00:24,  1.17s/it]
Epoch 24, training loss 0.110:  88%|████████▊ | 161/182 [03:09<00:24,  1.18s/it]
Epoch 24, training loss 0.110:  89%|████████▉ | 162/182 [03:10<00:23,  1.17s/it]
Epoch 24, training loss 0.111:  89%|████████▉ | 162/182 [03:10<00:23,  1.18s/it]
Epoch 24, training loss 0.111:  90%|████████▉ | 163/182 [03:11<00:22,  1.17s/it]
Epoch 24, training loss 0.111:  90%|████████▉ | 163/182 [03:11<00:22,  1.18s/it]
Epoch 24, training loss 0.111:  90%|█████████ | 164/182 [03:12<00:21,  1.17s/it]
Epoch 24, training loss 0.110:  90%|█████████ | 164/182 [03:13<00:21,  1.18s/it]
Epoch 24, training loss 0.110:  91%|█████████ | 165/182 [03:13<00:19,  1.17s/it]
Epoch 24, training loss 0.110:  91%|█████████ | 165/182 [03:14<00:20,  1.18s/it]
Epoch 24, training loss 0.110:  91%|█████████ | 166/182 [03:14<00:18,  1.17s/it]
Epoch 24, training loss 0.110:  91%|█████████ | 166/182 [03:15<00:18,  1.18s/it]
Epoch 24, training loss 0.110:  92%|█████████▏| 167/182 [03:15<00:17,  1.17s/it]
Epoch 24, training loss 0.110:  92%|█████████▏| 167/182 [03:16<00:17,  1.18s/it]
Epoch 24, training loss 0.110:  92%|█████████▏| 168/182 [03:16<00:16,  1.17s/it]
Epoch 24, training loss 0.109:  92%|█████████▏| 168/182 [03:17<00:16,  1.18s/it]
Epoch 24, training loss 0.109:  93%|█████████▎| 169/182 [03:17<00:15,  1.17s/it]
Epoch 24, training loss 0.109:  93%|█████████▎| 169/182 [03:18<00:15,  1.17s/it]
Epoch 24, training loss 0.109:  93%|█████████▎| 170/182 [03:19<00:14,  1.17s/it]
Epoch 24, training loss 0.109:  93%|█████████▎| 170/182 [03:19<00:14,  1.17s/it]
Epoch 24, training loss 0.109:  94%|█████████▍| 171/182 [03:20<00:12,  1.17s/it]
Epoch 24, training loss 0.109:  94%|█████████▍| 171/182 [03:20<00:12,  1.17s/it]
Epoch 24, training loss 0.109:  95%|█████████▍| 172/182 [03:21<00:11,  1.17s/it]
Epoch 24, training loss 0.109:  95%|█████████▍| 172/182 [03:21<00:11,  1.17s/it]
Epoch 24, training loss 0.109:  95%|█████████▌| 173/182 [03:22<00:10,  1.17s/it]
Epoch 24, training loss 0.109:  95%|█████████▌| 173/182 [03:23<00:10,  1.17s/it]
Epoch 24, training loss 0.109:  96%|█████████▌| 174/182 [03:23<00:09,  1.17s/it]
Epoch 24, training loss 0.109:  96%|█████████▌| 174/182 [03:24<00:09,  1.17s/it]
Epoch 24, training loss 0.109:  96%|█████████▌| 175/182 [03:24<00:08,  1.17s/it]
Epoch 24, training loss 0.108:  96%|█████████▌| 175/182 [03:25<00:08,  1.17s/it]
Epoch 24, training loss 0.108:  97%|█████████▋| 176/182 [03:25<00:07,  1.17s/it]
Epoch 24, training loss 0.108:  97%|█████████▋| 176/182 [03:26<00:07,  1.17s/it]
Epoch 24, training loss 0.108:  97%|█████████▋| 177/182 [03:27<00:05,  1.17s/it]
Epoch 24, training loss 0.108:  97%|█████████▋| 177/182 [03:27<00:05,  1.17s/it]
Epoch 24, training loss 0.108:  98%|█████████▊| 178/182 [03:28<00:04,  1.17s/it]
Epoch 24, training loss 0.108:  98%|█████████▊| 178/182 [03:28<00:04,  1.17s/it]
Epoch 24, training loss 0.108:  98%|█████████▊| 179/182 [03:29<00:03,  1.17s/it]
Epoch 24, training loss 0.108:  98%|█████████▊| 179/182 [03:29<00:03,  1.17s/it]
Epoch 24, training loss 0.108:  99%|█████████▉| 180/182 [03:30<00:02,  1.17s/it]
Epoch 24, training loss 0.108:  99%|█████████▉| 180/182 [03:30<00:02,  1.17s/it]
Epoch 24, training loss 0.108:  99%|█████████▉| 181/182 [03:31<00:01,  1.17s/it]
Epoch 24, training loss 0.107:  99%|█████████▉| 181/182 [03:32<00:01,  1.17s/it]
Epoch 24, training loss 0.107: 100%|██████████| 182/182 [03:32<00:00,  1.17s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 24, validation pixAcc: 0.978, mIoU: 0.539:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 24, validation pixAcc: 0.978, mIoU: 0.539:   1%|          | 1/91 [00:04<06:59,  4.66s/it]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.745:   1%|          | 1/91 [00:05<07:38,  5.10s/it]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.745:   2%|▏         | 2/91 [00:05<03:46,  2.55s/it]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.774:   2%|▏         | 2/91 [00:05<04:08,  2.79s/it]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.774:   3%|▎         | 3/91 [00:05<02:43,  1.86s/it]
Epoch 24, validation pixAcc: 0.978, mIoU: 0.792:   3%|▎         | 3/91 [00:06<02:56,  2.01s/it]
Epoch 24, validation pixAcc: 0.978, mIoU: 0.792:   4%|▍         | 4/91 [00:06<02:11,  1.51s/it]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.896:   4%|▍         | 4/91 [00:06<02:19,  1.61s/it]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.896:   5%|▌         | 5/91 [00:06<01:50,  1.29s/it]
Epoch 24, validation pixAcc: 0.978, mIoU: 0.893:   5%|▌         | 5/91 [00:06<01:58,  1.38s/it]
Epoch 24, validation pixAcc: 0.978, mIoU: 0.893:   7%|▋         | 6/91 [00:06<01:37,  1.15s/it]
Epoch 24, validation pixAcc: 0.978, mIoU: 0.893:   7%|▋         | 6/91 [00:07<01:44,  1.22s/it]
Epoch 24, validation pixAcc: 0.978, mIoU: 0.893:   8%|▊         | 7/91 [00:07<01:28,  1.05s/it]
Epoch 24, validation pixAcc: 0.978, mIoU: 0.895:   8%|▊         | 7/91 [00:07<01:33,  1.11s/it]
Epoch 24, validation pixAcc: 0.978, mIoU: 0.895:   9%|▉         | 8/91 [00:07<01:20,  1.03it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.897:   9%|▉         | 8/91 [00:08<01:25,  1.03s/it]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.897:  10%|▉         | 9/91 [00:08<01:14,  1.10it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.907:  10%|▉         | 9/91 [00:08<01:18,  1.04it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.907:  11%|█         | 10/91 [00:08<01:09,  1.16it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.905:  11%|█         | 10/91 [00:09<01:13,  1.10it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.905:  12%|█▏        | 11/91 [00:09<01:05,  1.21it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.904:  12%|█▏        | 11/91 [00:09<01:09,  1.16it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.904:  13%|█▎        | 12/91 [00:09<01:02,  1.26it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.903:  13%|█▎        | 12/91 [00:09<01:05,  1.21it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.903:  14%|█▍        | 13/91 [00:09<00:59,  1.31it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.912:  14%|█▍        | 13/91 [00:10<01:02,  1.25it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.912:  15%|█▌        | 14/91 [00:10<00:57,  1.35it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.911:  15%|█▌        | 14/91 [00:10<00:59,  1.30it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.911:  16%|█▋        | 15/91 [00:10<00:54,  1.39it/s]
Epoch 24, validation pixAcc: 0.980, mIoU: 0.916:  16%|█▋        | 15/91 [00:11<00:56,  1.34it/s]
Epoch 24, validation pixAcc: 0.980, mIoU: 0.916:  18%|█▊        | 16/91 [00:11<00:52,  1.42it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.915:  18%|█▊        | 16/91 [00:11<00:54,  1.37it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.915:  19%|█▊        | 17/91 [00:11<00:50,  1.46it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.912:  19%|█▊        | 17/91 [00:12<00:52,  1.41it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.912:  20%|█▉        | 18/91 [00:12<00:49,  1.49it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.906:  20%|█▉        | 18/91 [00:12<00:50,  1.44it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.906:  21%|██        | 19/91 [00:12<00:47,  1.52it/s]
Epoch 24, validation pixAcc: 0.976, mIoU: 0.902:  21%|██        | 19/91 [00:12<00:49,  1.46it/s]
Epoch 24, validation pixAcc: 0.976, mIoU: 0.902:  22%|██▏       | 20/91 [00:12<00:46,  1.54it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.905:  22%|██▏       | 20/91 [00:13<00:47,  1.49it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.905:  23%|██▎       | 21/91 [00:13<00:44,  1.57it/s]
Epoch 24, validation pixAcc: 0.976, mIoU: 0.902:  23%|██▎       | 21/91 [00:13<00:46,  1.52it/s]
Epoch 24, validation pixAcc: 0.976, mIoU: 0.902:  24%|██▍       | 22/91 [00:13<00:43,  1.59it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.904:  24%|██▍       | 22/91 [00:14<00:44,  1.54it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.904:  25%|██▌       | 23/91 [00:14<00:42,  1.61it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.904:  25%|██▌       | 23/91 [00:14<00:43,  1.57it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.904:  26%|██▋       | 24/91 [00:14<00:41,  1.63it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.903:  26%|██▋       | 24/91 [00:15<00:42,  1.58it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.903:  27%|██▋       | 25/91 [00:15<00:40,  1.65it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.905:  27%|██▋       | 25/91 [00:15<00:41,  1.60it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.905:  29%|██▊       | 26/91 [00:15<00:38,  1.67it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.906:  29%|██▊       | 26/91 [00:16<00:40,  1.62it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.906:  30%|██▉       | 27/91 [00:16<00:38,  1.68it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.908:  30%|██▉       | 27/91 [00:16<00:39,  1.63it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.908:  31%|███       | 28/91 [00:16<00:37,  1.70it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.907:  31%|███       | 28/91 [00:16<00:38,  1.65it/s]
Epoch 24, validation pixAcc: 0.977, mIoU: 0.907:  32%|███▏      | 29/91 [00:16<00:36,  1.71it/s]
Epoch 24, validation pixAcc: 0.978, mIoU: 0.909:  32%|███▏      | 29/91 [00:17<00:37,  1.67it/s]
Epoch 24, validation pixAcc: 0.978, mIoU: 0.909:  33%|███▎      | 30/91 [00:17<00:35,  1.73it/s]
Epoch 24, validation pixAcc: 0.978, mIoU: 0.911:  33%|███▎      | 30/91 [00:17<00:36,  1.69it/s]
Epoch 24, validation pixAcc: 0.978, mIoU: 0.911:  34%|███▍      | 31/91 [00:17<00:34,  1.74it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.911:  34%|███▍      | 31/91 [00:18<00:35,  1.70it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.911:  35%|███▌      | 32/91 [00:18<00:33,  1.75it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.912:  35%|███▌      | 32/91 [00:18<00:34,  1.71it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.912:  36%|███▋      | 33/91 [00:18<00:32,  1.77it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.913:  36%|███▋      | 33/91 [00:19<00:33,  1.73it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.913:  37%|███▋      | 34/91 [00:19<00:32,  1.78it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.913:  37%|███▋      | 34/91 [00:19<00:32,  1.74it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.913:  38%|███▊      | 35/91 [00:19<00:31,  1.79it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.914:  38%|███▊      | 35/91 [00:19<00:31,  1.75it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.914:  40%|███▉      | 36/91 [00:19<00:30,  1.80it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.914:  40%|███▉      | 36/91 [00:20<00:31,  1.77it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.914:  41%|████      | 37/91 [00:20<00:29,  1.82it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.914:  41%|████      | 37/91 [00:20<00:30,  1.78it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.914:  42%|████▏     | 38/91 [00:20<00:28,  1.83it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.914:  42%|████▏     | 38/91 [00:21<00:29,  1.79it/s]
Epoch 24, validation pixAcc: 0.979, mIoU: 0.914:  43%|████▎     | 39/91 [00:21<00:28,  1.84it/s]
Epoch 24, validation pixAcc: 0.980, mIoU: 0.916:  43%|████▎     | 39/91 [00:21<00:28,  1.80it/s]
Epoch 24, validation pixAcc: 0.980, mIoU: 0.916:  44%|████▍     | 40/91 [00:21<00:27,  1.85it/s]
Epoch 24, validation pixAcc: 0.980, mIoU: 0.915:  44%|████▍     | 40/91 [00:22<00:28,  1.81it/s]
Epoch 24, validation pixAcc: 0.980, mIoU: 0.915:  45%|████▌     | 41/91 [00:22<00:26,  1.86it/s]
Epoch 24, validation pixAcc: 0.980, mIoU: 0.915:  45%|████▌     | 41/91 [00:22<00:27,  1.82it/s]
Epoch 24, validation pixAcc: 0.980, mIoU: 0.915:  46%|████▌     | 42/91 [00:22<00:26,  1.87it/s]
Epoch 24, validation pixAcc: 0.980, mIoU: 0.916:  46%|████▌     | 42/91 [00:22<00:26,  1.84it/s]
Epoch 24, validation pixAcc: 0.980, mIoU: 0.916:  47%|████▋     | 43/91 [00:22<00:25,  1.88it/s]
Epoch 24, validation pixAcc: 0.980, mIoU: 0.917:  47%|████▋     | 43/91 [00:23<00:26,  1.84it/s]
Epoch 24, validation pixAcc: 0.980, mIoU: 0.917:  48%|████▊     | 44/91 [00:23<00:24,  1.89it/s]
Epoch 24, validation pixAcc: 0.980, mIoU: 0.917:  48%|████▊     | 44/91 [00:23<00:25,  1.85it/s]
Epoch 24, validation pixAcc: 0.980, mIoU: 0.917:  49%|████▉     | 45/91 [00:23<00:24,  1.89it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  49%|████▉     | 45/91 [00:24<00:24,  1.86it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  51%|█████     | 46/91 [00:24<00:23,  1.90it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  51%|█████     | 46/91 [00:24<00:24,  1.87it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  52%|█████▏    | 47/91 [00:24<00:23,  1.91it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  52%|█████▏    | 47/91 [00:25<00:23,  1.88it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  53%|█████▎    | 48/91 [00:25<00:22,  1.92it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  53%|█████▎    | 48/91 [00:25<00:22,  1.89it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  54%|█████▍    | 49/91 [00:25<00:21,  1.93it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  54%|█████▍    | 49/91 [00:25<00:22,  1.90it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  55%|█████▍    | 50/91 [00:25<00:21,  1.93it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  55%|█████▍    | 50/91 [00:26<00:21,  1.90it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  56%|█████▌    | 51/91 [00:26<00:20,  1.94it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.918:  56%|█████▌    | 51/91 [00:26<00:20,  1.91it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.918:  57%|█████▋    | 52/91 [00:26<00:19,  1.95it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.918:  57%|█████▋    | 52/91 [00:27<00:20,  1.92it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.918:  58%|█████▊    | 53/91 [00:27<00:19,  1.96it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  58%|█████▊    | 53/91 [00:27<00:19,  1.93it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  59%|█████▉    | 54/91 [00:27<00:18,  1.96it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  59%|█████▉    | 54/91 [00:27<00:19,  1.93it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.917:  60%|██████    | 55/91 [00:27<00:18,  1.97it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.918:  60%|██████    | 55/91 [00:28<00:18,  1.94it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.918:  62%|██████▏   | 56/91 [00:28<00:17,  1.97it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.918:  62%|██████▏   | 56/91 [00:28<00:18,  1.94it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.918:  63%|██████▎   | 57/91 [00:28<00:17,  1.98it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.918:  63%|██████▎   | 57/91 [00:29<00:17,  1.95it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.918:  64%|██████▎   | 58/91 [00:29<00:16,  1.98it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.918:  64%|██████▎   | 58/91 [00:29<00:16,  1.95it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.918:  65%|██████▍   | 59/91 [00:29<00:16,  1.99it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.918:  65%|██████▍   | 59/91 [00:30<00:16,  1.96it/s]
Epoch 24, validation pixAcc: 0.981, mIoU: 0.918:  66%|██████▌   | 60/91 [00:30<00:15,  1.99it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.919:  66%|██████▌   | 60/91 [00:30<00:15,  1.97it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.919:  67%|██████▋   | 61/91 [00:30<00:15,  2.00it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.919:  67%|██████▋   | 61/91 [00:30<00:15,  1.97it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.919:  68%|██████▊   | 62/91 [00:30<00:14,  2.00it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.920:  68%|██████▊   | 62/91 [00:31<00:14,  1.98it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.920:  69%|██████▉   | 63/91 [00:31<00:13,  2.01it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.920:  69%|██████▉   | 63/91 [00:31<00:14,  1.98it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.920:  70%|███████   | 64/91 [00:31<00:13,  2.01it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.921:  70%|███████   | 64/91 [00:32<00:13,  1.98it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.921:  71%|███████▏  | 65/91 [00:32<00:12,  2.01it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.921:  71%|███████▏  | 65/91 [00:32<00:13,  1.99it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.921:  73%|███████▎  | 66/91 [00:32<00:12,  2.02it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.921:  73%|███████▎  | 66/91 [00:33<00:12,  1.99it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.921:  74%|███████▎  | 67/91 [00:33<00:11,  2.02it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.920:  74%|███████▎  | 67/91 [00:33<00:12,  1.99it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.920:  75%|███████▍  | 68/91 [00:33<00:11,  2.02it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.921:  75%|███████▍  | 68/91 [00:34<00:11,  2.00it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.921:  76%|███████▌  | 69/91 [00:34<00:10,  2.03it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.921:  76%|███████▌  | 69/91 [00:34<00:10,  2.00it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.921:  77%|███████▋  | 70/91 [00:34<00:10,  2.03it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.922:  77%|███████▋  | 70/91 [00:34<00:10,  2.01it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.922:  78%|███████▊  | 71/91 [00:34<00:09,  2.04it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.922:  78%|███████▊  | 71/91 [00:35<00:09,  2.01it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.922:  79%|███████▉  | 72/91 [00:35<00:09,  2.04it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.922:  79%|███████▉  | 72/91 [00:35<00:09,  2.01it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.922:  80%|████████  | 73/91 [00:35<00:08,  2.04it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.922:  80%|████████  | 73/91 [00:36<00:08,  2.01it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.922:  81%|████████▏ | 74/91 [00:36<00:08,  2.04it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.923:  81%|████████▏ | 74/91 [00:36<00:08,  2.02it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.923:  82%|████████▏ | 75/91 [00:36<00:07,  2.04it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.923:  82%|████████▏ | 75/91 [00:37<00:07,  2.02it/s]
Epoch 24, validation pixAcc: 0.982, mIoU: 0.923:  84%|████████▎ | 76/91 [00:37<00:07,  2.05it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.923:  84%|████████▎ | 76/91 [00:37<00:07,  2.02it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.923:  85%|████████▍ | 77/91 [00:37<00:06,  2.05it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.923:  85%|████████▍ | 77/91 [00:38<00:06,  2.02it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.923:  86%|████████▌ | 78/91 [00:38<00:06,  2.05it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.923:  86%|████████▌ | 78/91 [00:38<00:06,  2.03it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.923:  87%|████████▋ | 79/91 [00:38<00:05,  2.05it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924:  87%|████████▋ | 79/91 [00:38<00:05,  2.03it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924:  88%|████████▊ | 80/91 [00:38<00:05,  2.06it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924:  88%|████████▊ | 80/91 [00:39<00:05,  2.03it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924:  89%|████████▉ | 81/91 [00:39<00:04,  2.06it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924:  89%|████████▉ | 81/91 [00:39<00:04,  2.04it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924:  90%|█████████ | 82/91 [00:39<00:04,  2.06it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.925:  90%|█████████ | 82/91 [00:40<00:04,  2.04it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.925:  91%|█████████ | 83/91 [00:40<00:03,  2.06it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924:  91%|█████████ | 83/91 [00:40<00:03,  2.04it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924:  92%|█████████▏| 84/91 [00:40<00:03,  2.07it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.925:  92%|█████████▏| 84/91 [00:41<00:03,  2.04it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.925:  93%|█████████▎| 85/91 [00:41<00:02,  2.07it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.925:  93%|█████████▎| 85/91 [00:41<00:02,  2.05it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.925:  95%|█████████▍| 86/91 [00:41<00:02,  2.07it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924:  95%|█████████▍| 86/91 [00:41<00:02,  2.05it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924:  96%|█████████▌| 87/91 [00:41<00:01,  2.07it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924:  96%|█████████▌| 87/91 [00:42<00:01,  2.05it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924:  97%|█████████▋| 88/91 [00:42<00:01,  2.08it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924:  97%|█████████▋| 88/91 [00:42<00:01,  2.06it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924:  98%|█████████▊| 89/91 [00:42<00:00,  2.08it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.925:  98%|█████████▊| 89/91 [00:43<00:00,  2.06it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.925:  99%|█████████▉| 90/91 [00:43<00:00,  2.08it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924:  99%|█████████▉| 90/91 [00:43<00:00,  2.06it/s]
Epoch 24, validation pixAcc: 0.983, mIoU: 0.924: 100%|██████████| 91/91 [00:43<00:00,  2.09it/s]

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Epoch 25, training loss 0.125:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 25, training loss 0.125:   1%|          | 1/182 [00:05<15:38,  5.19s/it]
Epoch 25, training loss 0.106:   1%|          | 1/182 [00:05<17:56,  5.95s/it]
Epoch 25, training loss 0.106:   1%|          | 2/182 [00:06<09:41,  3.23s/it]
Epoch 25, training loss 0.076:   1%|          | 2/182 [00:07<10:34,  3.52s/it]
Epoch 25, training loss 0.076:   2%|▏         | 3/182 [00:07<07:31,  2.52s/it]
Epoch 25, training loss 0.108:   2%|▏         | 3/182 [00:08<08:11,  2.75s/it]
Epoch 25, training loss 0.108:   2%|▏         | 4/182 [00:08<06:29,  2.19s/it]
Epoch 25, training loss 0.148:   2%|▏         | 4/182 [00:09<06:54,  2.33s/it]
Epoch 25, training loss 0.148:   3%|▎         | 5/182 [00:09<05:47,  1.96s/it]
Epoch 25, training loss 0.138:   3%|▎         | 5/182 [00:10<06:09,  2.09s/it]
Epoch 25, training loss 0.138:   3%|▎         | 6/182 [00:10<05:20,  1.82s/it]
Epoch 25, training loss 0.142:   3%|▎         | 6/182 [00:11<05:42,  1.94s/it]
Epoch 25, training loss 0.142:   4%|▍         | 7/182 [00:12<05:03,  1.73s/it]
Epoch 25, training loss 0.147:   4%|▍         | 7/182 [00:12<05:21,  1.84s/it]
Epoch 25, training loss 0.147:   4%|▍         | 8/182 [00:13<04:50,  1.67s/it]
Epoch 25, training loss 0.157:   4%|▍         | 8/182 [00:14<05:05,  1.75s/it]
Epoch 25, training loss 0.157:   5%|▍         | 9/182 [00:14<04:39,  1.62s/it]
Epoch 25, training loss 0.151:   5%|▍         | 9/182 [00:15<04:52,  1.69s/it]
Epoch 25, training loss 0.151:   5%|▌         | 10/182 [00:15<04:30,  1.57s/it]
Epoch 25, training loss 0.140:   5%|▌         | 10/182 [00:16<04:41,  1.63s/it]
Epoch 25, training loss 0.140:   6%|▌         | 11/182 [00:16<04:22,  1.53s/it]
Epoch 25, training loss 0.141:   6%|▌         | 11/182 [00:17<04:33,  1.60s/it]
Epoch 25, training loss 0.141:   7%|▋         | 12/182 [00:18<04:15,  1.50s/it]
Epoch 25, training loss 0.140:   7%|▋         | 12/182 [00:18<04:23,  1.55s/it]
Epoch 25, training loss 0.140:   7%|▋         | 13/182 [00:19<04:08,  1.47s/it]
Epoch 25, training loss 0.133:   7%|▋         | 13/182 [00:19<04:18,  1.53s/it]
Epoch 25, training loss 0.133:   8%|▊         | 14/182 [00:20<04:04,  1.46s/it]
Epoch 25, training loss 0.128:   8%|▊         | 14/182 [00:21<04:12,  1.50s/it]
Epoch 25, training loss 0.128:   8%|▊         | 15/182 [00:21<04:00,  1.44s/it]
Epoch 25, training loss 0.121:   8%|▊         | 15/182 [00:22<04:07,  1.48s/it]
Epoch 25, training loss 0.121:   9%|▉         | 16/182 [00:22<03:55,  1.42s/it]
Epoch 25, training loss 0.118:   9%|▉         | 16/182 [00:23<04:02,  1.46s/it]
Epoch 25, training loss 0.118:   9%|▉         | 17/182 [00:23<03:51,  1.41s/it]
Epoch 25, training loss 0.116:   9%|▉         | 17/182 [00:24<03:58,  1.45s/it]
Epoch 25, training loss 0.116:  10%|▉         | 18/182 [00:25<03:48,  1.39s/it]
Epoch 25, training loss 0.113:  10%|▉         | 18/182 [00:25<03:54,  1.43s/it]
Epoch 25, training loss 0.113:  10%|█         | 19/182 [00:26<03:44,  1.38s/it]
Epoch 25, training loss 0.116:  10%|█         | 19/182 [00:26<03:50,  1.42s/it]
Epoch 25, training loss 0.116:  11%|█         | 20/182 [00:27<03:42,  1.37s/it]
Epoch 25, training loss 0.116:  11%|█         | 20/182 [00:28<03:47,  1.40s/it]
Epoch 25, training loss 0.116:  12%|█▏        | 21/182 [00:28<03:39,  1.36s/it]
Epoch 25, training loss 0.115:  12%|█▏        | 21/182 [00:29<03:44,  1.39s/it]
Epoch 25, training loss 0.115:  12%|█▏        | 22/182 [00:29<03:36,  1.35s/it]
Epoch 25, training loss 0.113:  12%|█▏        | 22/182 [00:30<03:41,  1.38s/it]
Epoch 25, training loss 0.113:  13%|█▎        | 23/182 [00:30<03:33,  1.34s/it]
Epoch 25, training loss 0.110:  13%|█▎        | 23/182 [00:31<03:37,  1.37s/it]
Epoch 25, training loss 0.110:  13%|█▎        | 24/182 [00:32<03:30,  1.33s/it]
Epoch 25, training loss 0.110:  13%|█▎        | 24/182 [00:32<03:34,  1.36s/it]
Epoch 25, training loss 0.110:  14%|█▎        | 25/182 [00:33<03:27,  1.32s/it]
Epoch 25, training loss 0.112:  14%|█▎        | 25/182 [00:33<03:32,  1.35s/it]
Epoch 25, training loss 0.112:  14%|█▍        | 26/182 [00:34<03:25,  1.32s/it]
Epoch 25, training loss 0.112:  14%|█▍        | 26/182 [00:34<03:29,  1.35s/it]
Epoch 25, training loss 0.112:  15%|█▍        | 27/182 [00:35<03:23,  1.31s/it]
Epoch 25, training loss 0.111:  15%|█▍        | 27/182 [00:36<03:27,  1.34s/it]
Epoch 25, training loss 0.111:  15%|█▌        | 28/182 [00:36<03:21,  1.31s/it]
Epoch 25, training loss 0.122:  15%|█▌        | 28/182 [00:37<03:25,  1.34s/it]
Epoch 25, training loss 0.122:  16%|█▌        | 29/182 [00:37<03:20,  1.31s/it]
Epoch 25, training loss 0.123:  16%|█▌        | 29/182 [00:38<03:23,  1.33s/it]
Epoch 25, training loss 0.123:  16%|█▋        | 30/182 [00:39<03:18,  1.30s/it]
Epoch 25, training loss 0.125:  16%|█▋        | 30/182 [00:39<03:21,  1.32s/it]
Epoch 25, training loss 0.125:  17%|█▋        | 31/182 [00:40<03:15,  1.30s/it]
Epoch 25, training loss 0.126:  17%|█▋        | 31/182 [00:40<03:18,  1.32s/it]
Epoch 25, training loss 0.126:  18%|█▊        | 32/182 [00:41<03:13,  1.29s/it]
Epoch 25, training loss 0.124:  18%|█▊        | 32/182 [00:41<03:16,  1.31s/it]
Epoch 25, training loss 0.124:  18%|█▊        | 33/182 [00:42<03:11,  1.29s/it]
Epoch 25, training loss 0.125:  18%|█▊        | 33/182 [00:43<03:14,  1.31s/it]
Epoch 25, training loss 0.125:  19%|█▊        | 34/182 [00:43<03:09,  1.28s/it]
Epoch 25, training loss 0.122:  19%|█▊        | 34/182 [00:44<03:12,  1.30s/it]
Epoch 25, training loss 0.122:  19%|█▉        | 35/182 [00:44<03:07,  1.28s/it]
Epoch 25, training loss 0.119:  19%|█▉        | 35/182 [00:45<03:10,  1.30s/it]
Epoch 25, training loss 0.119:  20%|█▉        | 36/182 [00:45<03:05,  1.27s/it]
Epoch 25, training loss 0.121:  20%|█▉        | 36/182 [00:46<03:09,  1.29s/it]
Epoch 25, training loss 0.121:  20%|██        | 37/182 [00:47<03:04,  1.27s/it]
Epoch 25, training loss 0.120:  20%|██        | 37/182 [00:47<03:07,  1.29s/it]
Epoch 25, training loss 0.120:  21%|██        | 38/182 [00:48<03:03,  1.27s/it]
Epoch 25, training loss 0.123:  21%|██        | 38/182 [00:48<03:05,  1.29s/it]
Epoch 25, training loss 0.123:  21%|██▏       | 39/182 [00:49<03:01,  1.27s/it]
Epoch 25, training loss 0.122:  21%|██▏       | 39/182 [00:50<03:03,  1.28s/it]
Epoch 25, training loss 0.122:  22%|██▏       | 40/182 [00:50<02:59,  1.26s/it]
Epoch 25, training loss 0.123:  22%|██▏       | 40/182 [00:51<03:01,  1.28s/it]
Epoch 25, training loss 0.123:  23%|██▎       | 41/182 [00:51<02:57,  1.26s/it]
Epoch 25, training loss 0.122:  23%|██▎       | 41/182 [00:52<02:59,  1.28s/it]
Epoch 25, training loss 0.122:  23%|██▎       | 42/182 [00:52<02:56,  1.26s/it]
Epoch 25, training loss 0.122:  23%|██▎       | 42/182 [00:53<02:58,  1.28s/it]
Epoch 25, training loss 0.122:  24%|██▎       | 43/182 [00:54<02:54,  1.26s/it]
Epoch 25, training loss 0.121:  24%|██▎       | 43/182 [00:54<02:56,  1.27s/it]
Epoch 25, training loss 0.121:  24%|██▍       | 44/182 [00:55<02:53,  1.26s/it]
Epoch 25, training loss 0.120:  24%|██▍       | 44/182 [00:55<02:55,  1.27s/it]
Epoch 25, training loss 0.120:  25%|██▍       | 45/182 [00:56<02:51,  1.25s/it]
Epoch 25, training loss 0.120:  25%|██▍       | 45/182 [00:57<02:53,  1.27s/it]
Epoch 25, training loss 0.120:  25%|██▌       | 46/182 [00:57<02:50,  1.25s/it]
Epoch 25, training loss 0.119:  25%|██▌       | 46/182 [00:58<02:52,  1.27s/it]
Epoch 25, training loss 0.119:  26%|██▌       | 47/182 [00:58<02:48,  1.25s/it]
Epoch 25, training loss 0.118:  26%|██▌       | 47/182 [00:59<02:50,  1.26s/it]
Epoch 25, training loss 0.118:  26%|██▋       | 48/182 [00:59<02:47,  1.25s/it]
Epoch 25, training loss 0.116:  26%|██▋       | 48/182 [01:00<02:48,  1.26s/it]
Epoch 25, training loss 0.116:  27%|██▋       | 49/182 [01:00<02:45,  1.24s/it]
Epoch 25, training loss 0.116:  27%|██▋       | 49/182 [01:01<02:47,  1.26s/it]
Epoch 25, training loss 0.116:  27%|██▋       | 50/182 [01:02<02:44,  1.24s/it]
Epoch 25, training loss 0.117:  27%|██▋       | 50/182 [01:02<02:45,  1.26s/it]
Epoch 25, training loss 0.117:  28%|██▊       | 51/182 [01:03<02:42,  1.24s/it]
Epoch 25, training loss 0.115:  28%|██▊       | 51/182 [01:03<02:44,  1.25s/it]
Epoch 25, training loss 0.115:  29%|██▊       | 52/182 [01:04<02:41,  1.24s/it]
Epoch 25, training loss 0.116:  29%|██▊       | 52/182 [01:05<02:42,  1.25s/it]
Epoch 25, training loss 0.116:  29%|██▉       | 53/182 [01:05<02:39,  1.24s/it]
Epoch 25, training loss 0.116:  29%|██▉       | 53/182 [01:06<02:40,  1.25s/it]
Epoch 25, training loss 0.116:  30%|██▉       | 54/182 [01:06<02:37,  1.23s/it]
Epoch 25, training loss 0.117:  30%|██▉       | 54/182 [01:07<02:39,  1.25s/it]
Epoch 25, training loss 0.117:  30%|███       | 55/182 [01:07<02:36,  1.23s/it]
Epoch 25, training loss 0.118:  30%|███       | 55/182 [01:08<02:37,  1.24s/it]
Epoch 25, training loss 0.118:  31%|███       | 56/182 [01:08<02:34,  1.23s/it]
Epoch 25, training loss 0.123:  31%|███       | 56/182 [01:09<02:36,  1.24s/it]
Epoch 25, training loss 0.123:  31%|███▏      | 57/182 [01:09<02:33,  1.23s/it]
Epoch 25, training loss 0.122:  31%|███▏      | 57/182 [01:10<02:34,  1.24s/it]
Epoch 25, training loss 0.122:  32%|███▏      | 58/182 [01:11<02:31,  1.23s/it]
Epoch 25, training loss 0.124:  32%|███▏      | 58/182 [01:11<02:33,  1.24s/it]
Epoch 25, training loss 0.124:  32%|███▏      | 59/182 [01:12<02:30,  1.22s/it]
Epoch 25, training loss 0.122:  32%|███▏      | 59/182 [01:12<02:32,  1.24s/it]
Epoch 25, training loss 0.122:  33%|███▎      | 60/182 [01:13<02:29,  1.22s/it]
Epoch 25, training loss 0.120:  33%|███▎      | 60/182 [01:14<02:30,  1.23s/it]
Epoch 25, training loss 0.120:  34%|███▎      | 61/182 [01:14<02:27,  1.22s/it]
Epoch 25, training loss 0.122:  34%|███▎      | 61/182 [01:15<02:29,  1.23s/it]
Epoch 25, training loss 0.122:  34%|███▍      | 62/182 [01:15<02:26,  1.22s/it]
Epoch 25, training loss 0.122:  34%|███▍      | 62/182 [01:16<02:27,  1.23s/it]
Epoch 25, training loss 0.122:  35%|███▍      | 63/182 [01:16<02:25,  1.22s/it]
Epoch 25, training loss 0.121:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 25, training loss 0.121:  35%|███▌      | 64/182 [01:18<02:23,  1.22s/it]
Epoch 25, training loss 0.120:  35%|███▌      | 64/182 [01:18<02:24,  1.23s/it]
Epoch 25, training loss 0.120:  36%|███▌      | 65/182 [01:19<02:22,  1.22s/it]
Epoch 25, training loss 0.119:  36%|███▌      | 65/182 [01:19<02:23,  1.23s/it]
Epoch 25, training loss 0.119:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 25, training loss 0.119:  36%|███▋      | 66/182 [01:20<02:22,  1.23s/it]
Epoch 25, training loss 0.119:  37%|███▋      | 67/182 [01:21<02:19,  1.22s/it]
Epoch 25, training loss 0.120:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 25, training loss 0.120:  37%|███▋      | 68/182 [01:22<02:18,  1.22s/it]
Epoch 25, training loss 0.120:  37%|███▋      | 68/182 [01:23<02:19,  1.22s/it]
Epoch 25, training loss 0.120:  38%|███▊      | 69/182 [01:23<02:17,  1.21s/it]
Epoch 25, training loss 0.119:  38%|███▊      | 69/182 [01:24<02:18,  1.22s/it]
Epoch 25, training loss 0.119:  38%|███▊      | 70/182 [01:24<02:15,  1.21s/it]
Epoch 25, training loss 0.119:  38%|███▊      | 70/182 [01:25<02:16,  1.22s/it]
Epoch 25, training loss 0.119:  39%|███▉      | 71/182 [01:26<02:14,  1.21s/it]
Epoch 25, training loss 0.118:  39%|███▉      | 71/182 [01:26<02:15,  1.22s/it]
Epoch 25, training loss 0.118:  40%|███▉      | 72/182 [01:27<02:13,  1.21s/it]
Epoch 25, training loss 0.118:  40%|███▉      | 72/182 [01:27<02:14,  1.22s/it]
Epoch 25, training loss 0.118:  40%|████      | 73/182 [01:28<02:11,  1.21s/it]
Epoch 25, training loss 0.117:  40%|████      | 73/182 [01:28<02:12,  1.22s/it]
Epoch 25, training loss 0.117:  41%|████      | 74/182 [01:29<02:10,  1.21s/it]
Epoch 25, training loss 0.118:  41%|████      | 74/182 [01:29<02:11,  1.22s/it]
Epoch 25, training loss 0.118:  41%|████      | 75/182 [01:30<02:09,  1.21s/it]
Epoch 25, training loss 0.117:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 25, training loss 0.117:  42%|████▏     | 76/182 [01:31<02:07,  1.21s/it]
Epoch 25, training loss 0.119:  42%|████▏     | 76/182 [01:32<02:08,  1.22s/it]
Epoch 25, training loss 0.119:  42%|████▏     | 77/182 [01:32<02:06,  1.21s/it]
Epoch 25, training loss 0.120:  42%|████▏     | 77/182 [01:33<02:07,  1.21s/it]
Epoch 25, training loss 0.120:  43%|████▎     | 78/182 [01:34<02:05,  1.21s/it]
Epoch 25, training loss 0.123:  43%|████▎     | 78/182 [01:34<02:06,  1.21s/it]
Epoch 25, training loss 0.123:  43%|████▎     | 79/182 [01:35<02:04,  1.20s/it]
Epoch 25, training loss 0.122:  43%|████▎     | 79/182 [01:35<02:04,  1.21s/it]
Epoch 25, training loss 0.122:  44%|████▍     | 80/182 [01:36<02:02,  1.20s/it]
Epoch 25, training loss 0.121:  44%|████▍     | 80/182 [01:36<02:03,  1.21s/it]
Epoch 25, training loss 0.121:  45%|████▍     | 81/182 [01:37<02:01,  1.20s/it]
Epoch 25, training loss 0.122:  45%|████▍     | 81/182 [01:38<02:02,  1.21s/it]
Epoch 25, training loss 0.122:  45%|████▌     | 82/182 [01:38<02:00,  1.20s/it]
Epoch 25, training loss 0.122:  45%|████▌     | 82/182 [01:39<02:00,  1.21s/it]
Epoch 25, training loss 0.122:  46%|████▌     | 83/182 [01:39<01:58,  1.20s/it]
Epoch 25, training loss 0.121:  46%|████▌     | 83/182 [01:40<01:59,  1.21s/it]
Epoch 25, training loss 0.121:  46%|████▌     | 84/182 [01:40<01:57,  1.20s/it]
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Epoch 25, training loss 0.123:  47%|████▋     | 85/182 [01:41<01:56,  1.20s/it]
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Epoch 25, training loss 0.123:  47%|████▋     | 86/182 [01:42<01:54,  1.20s/it]
Epoch 25, training loss 0.122:  47%|████▋     | 86/182 [01:43<01:55,  1.21s/it]
Epoch 25, training loss 0.122:  48%|████▊     | 87/182 [01:44<01:53,  1.20s/it]
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Epoch 25, training loss 0.121:  48%|████▊     | 88/182 [01:45<01:52,  1.20s/it]
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Epoch 25, training loss 0.121:  51%|█████     | 92/182 [01:49<01:47,  1.19s/it]
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Epoch 25, training loss 0.121:  51%|█████     | 93/182 [01:51<01:46,  1.19s/it]
Epoch 25, training loss 0.121:  51%|█████     | 93/182 [01:51<01:46,  1.20s/it]
Epoch 25, training loss 0.121:  52%|█████▏    | 94/182 [01:52<01:45,  1.19s/it]
Epoch 25, training loss 0.121:  52%|█████▏    | 94/182 [01:52<01:45,  1.20s/it]
Epoch 25, training loss 0.121:  52%|█████▏    | 95/182 [01:53<01:43,  1.19s/it]
Epoch 25, training loss 0.120:  52%|█████▏    | 95/182 [01:54<01:44,  1.20s/it]
Epoch 25, training loss 0.120:  53%|█████▎    | 96/182 [01:54<01:42,  1.19s/it]
Epoch 25, training loss 0.120:  53%|█████▎    | 96/182 [01:55<01:43,  1.20s/it]
Epoch 25, training loss 0.120:  53%|█████▎    | 97/182 [01:55<01:41,  1.19s/it]
Epoch 25, training loss 0.120:  53%|█████▎    | 97/182 [01:56<01:42,  1.20s/it]
Epoch 25, training loss 0.120:  54%|█████▍    | 98/182 [01:56<01:40,  1.19s/it]
Epoch 25, training loss 0.119:  54%|█████▍    | 98/182 [01:57<01:40,  1.20s/it]
Epoch 25, training loss 0.119:  54%|█████▍    | 99/182 [01:58<01:38,  1.19s/it]
Epoch 25, training loss 0.119:  54%|█████▍    | 99/182 [01:58<01:39,  1.20s/it]
Epoch 25, training loss 0.119:  55%|█████▍    | 100/182 [01:59<01:37,  1.19s/it]
Epoch 25, training loss 0.119:  55%|█████▍    | 100/182 [01:59<01:38,  1.20s/it]
Epoch 25, training loss 0.119:  55%|█████▌    | 101/182 [02:00<01:36,  1.19s/it]
Epoch 25, training loss 0.120:  55%|█████▌    | 101/182 [02:01<01:37,  1.20s/it]
Epoch 25, training loss 0.120:  56%|█████▌    | 102/182 [02:01<01:35,  1.19s/it]
Epoch 25, training loss 0.120:  56%|█████▌    | 102/182 [02:02<01:35,  1.20s/it]
Epoch 25, training loss 0.120:  57%|█████▋    | 103/182 [02:02<01:34,  1.19s/it]
Epoch 25, training loss 0.120:  57%|█████▋    | 103/182 [02:03<01:34,  1.20s/it]
Epoch 25, training loss 0.120:  57%|█████▋    | 104/182 [02:04<01:33,  1.19s/it]
Epoch 25, training loss 0.121:  57%|█████▋    | 104/182 [02:04<01:33,  1.20s/it]
Epoch 25, training loss 0.121:  58%|█████▊    | 105/182 [02:05<01:31,  1.19s/it]
Epoch 25, training loss 0.120:  58%|█████▊    | 105/182 [02:05<01:32,  1.20s/it]
Epoch 25, training loss 0.120:  58%|█████▊    | 106/182 [02:06<01:30,  1.19s/it]
Epoch 25, training loss 0.119:  58%|█████▊    | 106/182 [02:07<01:31,  1.20s/it]
Epoch 25, training loss 0.119:  59%|█████▉    | 107/182 [02:07<01:29,  1.19s/it]
Epoch 25, training loss 0.119:  59%|█████▉    | 107/182 [02:08<01:29,  1.20s/it]
Epoch 25, training loss 0.119:  59%|█████▉    | 108/182 [02:08<01:28,  1.19s/it]
Epoch 25, training loss 0.120:  59%|█████▉    | 108/182 [02:09<01:28,  1.20s/it]
Epoch 25, training loss 0.120:  60%|█████▉    | 109/182 [02:09<01:27,  1.19s/it]
Epoch 25, training loss 0.119:  60%|█████▉    | 109/182 [02:10<01:27,  1.20s/it]
Epoch 25, training loss 0.119:  60%|██████    | 110/182 [02:11<01:25,  1.19s/it]
Epoch 25, training loss 0.120:  60%|██████    | 110/182 [02:11<01:26,  1.20s/it]
Epoch 25, training loss 0.120:  61%|██████    | 111/182 [02:12<01:24,  1.19s/it]
Epoch 25, training loss 0.120:  61%|██████    | 111/182 [02:12<01:25,  1.20s/it]
Epoch 25, training loss 0.120:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 25, training loss 0.119:  62%|██████▏   | 112/182 [02:14<01:23,  1.20s/it]
Epoch 25, training loss 0.119:  62%|██████▏   | 113/182 [02:14<01:22,  1.19s/it]
Epoch 25, training loss 0.120:  62%|██████▏   | 113/182 [02:15<01:22,  1.20s/it]
Epoch 25, training loss 0.120:  63%|██████▎   | 114/182 [02:15<01:21,  1.19s/it]
Epoch 25, training loss 0.119:  63%|██████▎   | 114/182 [02:16<01:21,  1.20s/it]
Epoch 25, training loss 0.119:  63%|██████▎   | 115/182 [02:17<01:19,  1.19s/it]
Epoch 25, training loss 0.119:  63%|██████▎   | 115/182 [02:17<01:20,  1.20s/it]
Epoch 25, training loss 0.119:  64%|██████▎   | 116/182 [02:18<01:18,  1.19s/it]
Epoch 25, training loss 0.118:  64%|██████▎   | 116/182 [02:18<01:19,  1.20s/it]
Epoch 25, training loss 0.118:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 25, training loss 0.119:  64%|██████▍   | 117/182 [02:20<01:17,  1.20s/it]
Epoch 25, training loss 0.119:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 25, training loss 0.120:  65%|██████▍   | 118/182 [02:21<01:16,  1.20s/it]
Epoch 25, training loss 0.120:  65%|██████▌   | 119/182 [02:21<01:15,  1.19s/it]
Epoch 25, training loss 0.120:  65%|██████▌   | 119/182 [02:22<01:15,  1.20s/it]
Epoch 25, training loss 0.120:  66%|██████▌   | 120/182 [02:22<01:13,  1.19s/it]
Epoch 25, training loss 0.121:  66%|██████▌   | 120/182 [02:23<01:14,  1.20s/it]
Epoch 25, training loss 0.121:  66%|██████▋   | 121/182 [02:24<01:12,  1.19s/it]
Epoch 25, training loss 0.120:  66%|██████▋   | 121/182 [02:24<01:12,  1.20s/it]
Epoch 25, training loss 0.120:  67%|██████▋   | 122/182 [02:25<01:11,  1.19s/it]
Epoch 25, training loss 0.122:  67%|██████▋   | 122/182 [02:25<01:11,  1.20s/it]
Epoch 25, training loss 0.122:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 25, training loss 0.122:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 25, training loss 0.122:  68%|██████▊   | 124/182 [02:27<01:09,  1.19s/it]
Epoch 25, training loss 0.122:  68%|██████▊   | 124/182 [02:28<01:09,  1.20s/it]
Epoch 25, training loss 0.122:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 25, training loss 0.122:  69%|██████▊   | 125/182 [02:29<01:08,  1.20s/it]
Epoch 25, training loss 0.122:  69%|██████▉   | 126/182 [02:30<01:06,  1.19s/it]
Epoch 25, training loss 0.122:  69%|██████▉   | 126/182 [02:30<01:07,  1.20s/it]
Epoch 25, training loss 0.122:  70%|██████▉   | 127/182 [02:31<01:05,  1.19s/it]
Epoch 25, training loss 0.121:  70%|██████▉   | 127/182 [02:31<01:05,  1.20s/it]
Epoch 25, training loss 0.121:  70%|███████   | 128/182 [02:32<01:04,  1.19s/it]
Epoch 25, training loss 0.122:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 25, training loss 0.122:  71%|███████   | 129/182 [02:33<01:03,  1.19s/it]
Epoch 25, training loss 0.122:  71%|███████   | 129/182 [02:34<01:03,  1.20s/it]
Epoch 25, training loss 0.122:  71%|███████▏  | 130/182 [02:34<01:01,  1.19s/it]
Epoch 25, training loss 0.122:  71%|███████▏  | 130/182 [02:35<01:02,  1.20s/it]
Epoch 25, training loss 0.122:  72%|███████▏  | 131/182 [02:35<01:00,  1.19s/it]
Epoch 25, training loss 0.121:  72%|███████▏  | 131/182 [02:36<01:01,  1.20s/it]
Epoch 25, training loss 0.121:  73%|███████▎  | 132/182 [02:37<00:59,  1.19s/it]
Epoch 25, training loss 0.120:  73%|███████▎  | 132/182 [02:37<00:59,  1.20s/it]
Epoch 25, training loss 0.120:  73%|███████▎  | 133/182 [02:38<00:58,  1.19s/it]
Epoch 25, training loss 0.120:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 25, training loss 0.120:  74%|███████▎  | 134/182 [02:39<00:57,  1.19s/it]
Epoch 25, training loss 0.119:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
Epoch 25, training loss 0.119:  74%|███████▍  | 135/182 [02:40<00:55,  1.19s/it]
Epoch 25, training loss 0.119:  74%|███████▍  | 135/182 [02:41<00:56,  1.20s/it]
Epoch 25, training loss 0.119:  75%|███████▍  | 136/182 [02:41<00:54,  1.19s/it]
Epoch 25, training loss 0.119:  75%|███████▍  | 136/182 [02:42<00:55,  1.20s/it]
Epoch 25, training loss 0.119:  75%|███████▌  | 137/182 [02:43<00:53,  1.19s/it]
Epoch 25, training loss 0.120:  75%|███████▌  | 137/182 [02:43<00:53,  1.20s/it]
Epoch 25, training loss 0.120:  76%|███████▌  | 138/182 [02:44<00:52,  1.19s/it]
Epoch 25, training loss 0.120:  76%|███████▌  | 138/182 [02:44<00:52,  1.20s/it]
Epoch 25, training loss 0.120:  76%|███████▋  | 139/182 [02:45<00:51,  1.19s/it]
Epoch 25, training loss 0.120:  76%|███████▋  | 139/182 [02:46<00:51,  1.20s/it]
Epoch 25, training loss 0.120:  77%|███████▋  | 140/182 [02:46<00:49,  1.19s/it]
Epoch 25, training loss 0.119:  77%|███████▋  | 140/182 [02:47<00:50,  1.20s/it]
Epoch 25, training loss 0.119:  77%|███████▋  | 141/182 [02:47<00:48,  1.19s/it]
Epoch 25, training loss 0.119:  77%|███████▋  | 141/182 [02:48<00:48,  1.20s/it]
Epoch 25, training loss 0.119:  78%|███████▊  | 142/182 [02:48<00:47,  1.19s/it]
Epoch 25, training loss 0.118:  78%|███████▊  | 142/182 [02:49<00:47,  1.19s/it]
Epoch 25, training loss 0.118:  79%|███████▊  | 143/182 [02:50<00:46,  1.19s/it]
Epoch 25, training loss 0.119:  79%|███████▊  | 143/182 [02:50<00:46,  1.19s/it]
Epoch 25, training loss 0.119:  79%|███████▉  | 144/182 [02:51<00:45,  1.19s/it]
Epoch 25, training loss 0.118:  79%|███████▉  | 144/182 [02:51<00:45,  1.19s/it]
Epoch 25, training loss 0.118:  80%|███████▉  | 145/182 [02:52<00:44,  1.19s/it]
Epoch 25, training loss 0.118:  80%|███████▉  | 145/182 [02:53<00:44,  1.19s/it]
Epoch 25, training loss 0.118:  80%|████████  | 146/182 [02:53<00:42,  1.19s/it]
Epoch 25, training loss 0.119:  80%|████████  | 146/182 [02:54<00:42,  1.19s/it]
Epoch 25, training loss 0.119:  81%|████████  | 147/182 [02:54<00:41,  1.19s/it]
Epoch 25, training loss 0.118:  81%|████████  | 147/182 [02:55<00:41,  1.19s/it]
Epoch 25, training loss 0.118:  81%|████████▏ | 148/182 [02:56<00:40,  1.19s/it]
Epoch 25, training loss 0.118:  81%|████████▏ | 148/182 [02:56<00:40,  1.19s/it]
Epoch 25, training loss 0.118:  82%|████████▏ | 149/182 [02:57<00:39,  1.19s/it]
Epoch 25, training loss 0.119:  82%|████████▏ | 149/182 [02:57<00:39,  1.19s/it]
Epoch 25, training loss 0.119:  82%|████████▏ | 150/182 [02:58<00:38,  1.19s/it]
Epoch 25, training loss 0.119:  82%|████████▏ | 150/182 [02:58<00:38,  1.19s/it]
Epoch 25, training loss 0.119:  83%|████████▎ | 151/182 [02:59<00:36,  1.19s/it]
Epoch 25, training loss 0.118:  83%|████████▎ | 151/182 [03:00<00:36,  1.19s/it]
Epoch 25, training loss 0.118:  84%|████████▎ | 152/182 [03:00<00:35,  1.19s/it]
Epoch 25, training loss 0.119:  84%|████████▎ | 152/182 [03:01<00:35,  1.19s/it]
Epoch 25, training loss 0.119:  84%|████████▍ | 153/182 [03:01<00:34,  1.19s/it]
Epoch 25, training loss 0.120:  84%|████████▍ | 153/182 [03:02<00:34,  1.19s/it]
Epoch 25, training loss 0.120:  85%|████████▍ | 154/182 [03:02<00:33,  1.19s/it]
Epoch 25, training loss 0.119:  85%|████████▍ | 154/182 [03:03<00:33,  1.19s/it]
Epoch 25, training loss 0.119:  85%|████████▌ | 155/182 [03:04<00:32,  1.19s/it]
Epoch 25, training loss 0.120:  85%|████████▌ | 155/182 [03:04<00:32,  1.19s/it]
Epoch 25, training loss 0.120:  86%|████████▌ | 156/182 [03:05<00:30,  1.19s/it]
Epoch 25, training loss 0.122:  86%|████████▌ | 156/182 [03:05<00:30,  1.19s/it]
Epoch 25, training loss 0.122:  86%|████████▋ | 157/182 [03:06<00:29,  1.19s/it]
Epoch 25, training loss 0.122:  86%|████████▋ | 157/182 [03:06<00:29,  1.19s/it]
Epoch 25, training loss 0.122:  87%|████████▋ | 158/182 [03:07<00:28,  1.19s/it]
Epoch 25, training loss 0.122:  87%|████████▋ | 158/182 [03:08<00:28,  1.19s/it]
Epoch 25, training loss 0.122:  87%|████████▋ | 159/182 [03:08<00:27,  1.19s/it]
Epoch 25, training loss 0.121:  87%|████████▋ | 159/182 [03:09<00:27,  1.19s/it]
Epoch 25, training loss 0.121:  88%|████████▊ | 160/182 [03:09<00:26,  1.19s/it]
Epoch 25, training loss 0.121:  88%|████████▊ | 160/182 [03:10<00:26,  1.19s/it]
Epoch 25, training loss 0.121:  88%|████████▊ | 161/182 [03:10<00:24,  1.19s/it]
Epoch 25, training loss 0.121:  88%|████████▊ | 161/182 [03:11<00:24,  1.19s/it]
Epoch 25, training loss 0.121:  89%|████████▉ | 162/182 [03:12<00:23,  1.19s/it]
Epoch 25, training loss 0.121:  89%|████████▉ | 162/182 [03:12<00:23,  1.19s/it]
Epoch 25, training loss 0.121:  90%|████████▉ | 163/182 [03:13<00:22,  1.19s/it]
Epoch 25, training loss 0.121:  90%|████████▉ | 163/182 [03:13<00:22,  1.19s/it]
Epoch 25, training loss 0.121:  90%|█████████ | 164/182 [03:14<00:21,  1.19s/it]
Epoch 25, training loss 0.120:  90%|█████████ | 164/182 [03:15<00:21,  1.19s/it]
Epoch 25, training loss 0.120:  91%|█████████ | 165/182 [03:15<00:20,  1.19s/it]
Epoch 25, training loss 0.120:  91%|█████████ | 165/182 [03:16<00:20,  1.19s/it]
Epoch 25, training loss 0.120:  91%|█████████ | 166/182 [03:16<00:18,  1.19s/it]
Epoch 25, training loss 0.120:  91%|█████████ | 166/182 [03:17<00:19,  1.19s/it]
Epoch 25, training loss 0.120:  92%|█████████▏| 167/182 [03:17<00:17,  1.19s/it]
Epoch 25, training loss 0.120:  92%|█████████▏| 167/182 [03:18<00:17,  1.19s/it]
Epoch 25, training loss 0.120:  92%|█████████▏| 168/182 [03:19<00:16,  1.18s/it]
Epoch 25, training loss 0.120:  92%|█████████▏| 168/182 [03:19<00:16,  1.19s/it]
Epoch 25, training loss 0.120:  93%|█████████▎| 169/182 [03:20<00:15,  1.18s/it]
Epoch 25, training loss 0.119:  93%|█████████▎| 169/182 [03:20<00:15,  1.19s/it]
Epoch 25, training loss 0.119:  93%|█████████▎| 170/182 [03:21<00:14,  1.18s/it]
Epoch 25, training loss 0.119:  93%|█████████▎| 170/182 [03:21<00:14,  1.19s/it]
Epoch 25, training loss 0.119:  94%|█████████▍| 171/182 [03:22<00:13,  1.18s/it]
Epoch 25, training loss 0.119:  94%|█████████▍| 171/182 [03:23<00:13,  1.19s/it]
Epoch 25, training loss 0.119:  95%|█████████▍| 172/182 [03:23<00:11,  1.18s/it]
Epoch 25, training loss 0.118:  95%|█████████▍| 172/182 [03:24<00:11,  1.19s/it]
Epoch 25, training loss 0.118:  95%|█████████▌| 173/182 [03:24<00:10,  1.18s/it]
Epoch 25, training loss 0.118:  95%|█████████▌| 173/182 [03:25<00:10,  1.19s/it]
Epoch 25, training loss 0.118:  96%|█████████▌| 174/182 [03:25<00:09,  1.18s/it]
Epoch 25, training loss 0.118:  96%|█████████▌| 174/182 [03:26<00:09,  1.19s/it]
Epoch 25, training loss 0.118:  96%|█████████▌| 175/182 [03:26<00:08,  1.18s/it]
Epoch 25, training loss 0.118:  96%|█████████▌| 175/182 [03:27<00:08,  1.19s/it]
Epoch 25, training loss 0.118:  97%|█████████▋| 176/182 [03:27<00:07,  1.18s/it]
Epoch 25, training loss 0.118:  97%|█████████▋| 176/182 [03:28<00:07,  1.19s/it]
Epoch 25, training loss 0.118:  97%|█████████▋| 177/182 [03:29<00:05,  1.18s/it]
Epoch 25, training loss 0.118:  97%|█████████▋| 177/182 [03:29<00:05,  1.18s/it]
Epoch 25, training loss 0.118:  98%|█████████▊| 178/182 [03:30<00:04,  1.18s/it]
Epoch 25, training loss 0.117:  98%|█████████▊| 178/182 [03:30<00:04,  1.18s/it]
Epoch 25, training loss 0.117:  98%|█████████▊| 179/182 [03:31<00:03,  1.18s/it]
Epoch 25, training loss 0.117:  98%|█████████▊| 179/182 [03:31<00:03,  1.18s/it]
Epoch 25, training loss 0.117:  99%|█████████▉| 180/182 [03:32<00:02,  1.18s/it]
Epoch 25, training loss 0.117:  99%|█████████▉| 180/182 [03:33<00:02,  1.18s/it]
Epoch 25, training loss 0.117:  99%|█████████▉| 181/182 [03:33<00:01,  1.18s/it]
Epoch 25, training loss 0.118:  99%|█████████▉| 181/182 [03:34<00:01,  1.18s/it]
Epoch 25, training loss 0.118: 100%|██████████| 182/182 [03:34<00:00,  1.18s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.522:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.522:   1%|          | 1/90 [00:04<06:36,  4.45s/it]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.675:   1%|          | 1/90 [00:04<07:16,  4.90s/it]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.675:   2%|▏         | 2/90 [00:04<03:35,  2.45s/it]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.791:   2%|▏         | 2/90 [00:05<03:55,  2.67s/it]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.791:   3%|▎         | 3/90 [00:05<02:35,  1.78s/it]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.841:   3%|▎         | 3/90 [00:05<02:47,  1.92s/it]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.841:   4%|▍         | 4/90 [00:05<02:03,  1.44s/it]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.894:   4%|▍         | 4/90 [00:06<02:13,  1.55s/it]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.894:   6%|▌         | 5/90 [00:06<01:45,  1.24s/it]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.892:   6%|▌         | 5/90 [00:06<01:53,  1.33s/it]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.892:   7%|▋         | 6/90 [00:06<01:33,  1.11s/it]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.889:   7%|▋         | 6/90 [00:07<01:39,  1.19s/it]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.889:   8%|▊         | 7/90 [00:07<01:24,  1.02s/it]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.892:   8%|▊         | 7/90 [00:07<01:29,  1.08s/it]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.892:   9%|▉         | 8/90 [00:07<01:17,  1.05it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.897:   9%|▉         | 8/90 [00:08<01:22,  1.00s/it]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.897:  10%|█         | 9/90 [00:08<01:12,  1.12it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.904:  10%|█         | 9/90 [00:08<01:16,  1.07it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.904:  11%|█         | 10/90 [00:08<01:07,  1.18it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.903:  11%|█         | 10/90 [00:08<01:10,  1.13it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.903:  12%|█▏        | 11/90 [00:08<01:03,  1.24it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.901:  12%|█▏        | 11/90 [00:09<01:06,  1.18it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.901:  13%|█▎        | 12/90 [00:09<01:00,  1.29it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.907:  13%|█▎        | 12/90 [00:09<01:03,  1.23it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.907:  14%|█▍        | 13/90 [00:09<00:57,  1.34it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.910:  14%|█▍        | 13/90 [00:10<01:00,  1.28it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.910:  16%|█▌        | 14/90 [00:10<00:55,  1.37it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.911:  16%|█▌        | 14/90 [00:10<00:57,  1.32it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.911:  17%|█▋        | 15/90 [00:10<00:53,  1.41it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.915:  17%|█▋        | 15/90 [00:11<00:55,  1.35it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.915:  18%|█▊        | 16/90 [00:11<00:51,  1.44it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.913:  18%|█▊        | 16/90 [00:11<00:53,  1.39it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.913:  19%|█▉        | 17/90 [00:11<00:49,  1.48it/s]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.906:  19%|█▉        | 17/90 [00:11<00:51,  1.42it/s]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.906:  20%|██        | 18/90 [00:11<00:47,  1.51it/s]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.904:  20%|██        | 18/90 [00:12<00:49,  1.46it/s]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.904:  21%|██        | 19/90 [00:12<00:46,  1.54it/s]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.903:  21%|██        | 19/90 [00:12<00:47,  1.49it/s]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.903:  22%|██▏       | 20/90 [00:12<00:44,  1.57it/s]
Epoch 25, validation pixAcc: 0.977, mIoU: 0.902:  22%|██▏       | 20/90 [00:13<00:46,  1.51it/s]
Epoch 25, validation pixAcc: 0.977, mIoU: 0.902:  23%|██▎       | 21/90 [00:13<00:43,  1.59it/s]
Epoch 25, validation pixAcc: 0.977, mIoU: 0.902:  23%|██▎       | 21/90 [00:13<00:44,  1.54it/s]
Epoch 25, validation pixAcc: 0.977, mIoU: 0.902:  24%|██▍       | 22/90 [00:13<00:42,  1.61it/s]
Epoch 25, validation pixAcc: 0.977, mIoU: 0.904:  24%|██▍       | 22/90 [00:14<00:43,  1.56it/s]
Epoch 25, validation pixAcc: 0.977, mIoU: 0.904:  26%|██▌       | 23/90 [00:14<00:41,  1.63it/s]
Epoch 25, validation pixAcc: 0.977, mIoU: 0.903:  26%|██▌       | 23/90 [00:14<00:42,  1.59it/s]
Epoch 25, validation pixAcc: 0.977, mIoU: 0.903:  27%|██▋       | 24/90 [00:14<00:39,  1.65it/s]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.905:  27%|██▋       | 24/90 [00:14<00:41,  1.60it/s]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.905:  28%|██▊       | 25/90 [00:14<00:38,  1.67it/s]
Epoch 25, validation pixAcc: 0.977, mIoU: 0.905:  28%|██▊       | 25/90 [00:15<00:39,  1.63it/s]
Epoch 25, validation pixAcc: 0.977, mIoU: 0.905:  29%|██▉       | 26/90 [00:15<00:37,  1.69it/s]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.908:  29%|██▉       | 26/90 [00:15<00:38,  1.65it/s]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.908:  30%|███       | 27/90 [00:15<00:36,  1.71it/s]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.909:  30%|███       | 27/90 [00:16<00:37,  1.66it/s]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.909:  31%|███       | 28/90 [00:16<00:35,  1.72it/s]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.908:  31%|███       | 28/90 [00:16<00:36,  1.68it/s]
Epoch 25, validation pixAcc: 0.978, mIoU: 0.908:  32%|███▏      | 29/90 [00:16<00:35,  1.74it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.910:  32%|███▏      | 29/90 [00:17<00:35,  1.70it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.910:  33%|███▎      | 30/90 [00:17<00:34,  1.76it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.911:  33%|███▎      | 30/90 [00:17<00:35,  1.71it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.911:  34%|███▍      | 31/90 [00:17<00:33,  1.77it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.913:  34%|███▍      | 31/90 [00:17<00:34,  1.73it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.913:  36%|███▌      | 32/90 [00:17<00:32,  1.78it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.913:  36%|███▌      | 32/90 [00:18<00:33,  1.74it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.913:  37%|███▋      | 33/90 [00:18<00:31,  1.79it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.914:  37%|███▋      | 33/90 [00:18<00:32,  1.75it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.914:  38%|███▊      | 34/90 [00:18<00:31,  1.80it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.914:  38%|███▊      | 34/90 [00:19<00:31,  1.76it/s]
Epoch 25, validation pixAcc: 0.979, mIoU: 0.914:  39%|███▉      | 35/90 [00:19<00:30,  1.82it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.914:  39%|███▉      | 35/90 [00:19<00:30,  1.77it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.914:  40%|████      | 36/90 [00:19<00:29,  1.82it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.914:  40%|████      | 36/90 [00:20<00:30,  1.79it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.914:  41%|████      | 37/90 [00:20<00:28,  1.84it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.914:  41%|████      | 37/90 [00:20<00:29,  1.80it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.914:  42%|████▏     | 38/90 [00:20<00:28,  1.85it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.915:  42%|████▏     | 38/90 [00:21<00:28,  1.81it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.915:  43%|████▎     | 39/90 [00:21<00:27,  1.85it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.916:  43%|████▎     | 39/90 [00:21<00:28,  1.82it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.916:  44%|████▍     | 40/90 [00:21<00:26,  1.86it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.916:  44%|████▍     | 40/90 [00:21<00:27,  1.83it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.916:  46%|████▌     | 41/90 [00:21<00:26,  1.87it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.916:  46%|████▌     | 41/90 [00:22<00:26,  1.83it/s]
Epoch 25, validation pixAcc: 0.980, mIoU: 0.916:  47%|████▋     | 42/90 [00:22<00:25,  1.88it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  47%|████▋     | 42/90 [00:22<00:26,  1.84it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  48%|████▊     | 43/90 [00:22<00:24,  1.88it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  48%|████▊     | 43/90 [00:23<00:25,  1.85it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  49%|████▉     | 44/90 [00:23<00:24,  1.89it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  49%|████▉     | 44/90 [00:23<00:24,  1.86it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  50%|█████     | 45/90 [00:23<00:23,  1.90it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  50%|█████     | 45/90 [00:24<00:24,  1.87it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  51%|█████     | 46/90 [00:24<00:23,  1.91it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.918:  51%|█████     | 46/90 [00:24<00:23,  1.87it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.918:  52%|█████▏    | 47/90 [00:24<00:22,  1.91it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  52%|█████▏    | 47/90 [00:25<00:22,  1.88it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  53%|█████▎    | 48/90 [00:25<00:21,  1.92it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  53%|█████▎    | 48/90 [00:25<00:22,  1.88it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  54%|█████▍    | 49/90 [00:25<00:21,  1.92it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  54%|█████▍    | 49/90 [00:25<00:21,  1.89it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  56%|█████▌    | 50/90 [00:25<00:20,  1.93it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.918:  56%|█████▌    | 50/90 [00:26<00:21,  1.90it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.918:  57%|█████▋    | 51/90 [00:26<00:20,  1.94it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.918:  57%|█████▋    | 51/90 [00:26<00:20,  1.91it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.918:  58%|█████▊    | 52/90 [00:26<00:19,  1.94it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  58%|█████▊    | 52/90 [00:27<00:19,  1.91it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.917:  59%|█████▉    | 53/90 [00:27<00:18,  1.95it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.918:  59%|█████▉    | 53/90 [00:27<00:19,  1.92it/s]
Epoch 25, validation pixAcc: 0.981, mIoU: 0.918:  60%|██████    | 54/90 [00:27<00:18,  1.95it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.918:  60%|██████    | 54/90 [00:28<00:18,  1.93it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.918:  61%|██████    | 55/90 [00:28<00:17,  1.96it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.919:  61%|██████    | 55/90 [00:28<00:18,  1.93it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.919:  62%|██████▏   | 56/90 [00:28<00:17,  1.97it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.919:  62%|██████▏   | 56/90 [00:28<00:17,  1.94it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.919:  63%|██████▎   | 57/90 [00:28<00:16,  1.98it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.919:  63%|██████▎   | 57/90 [00:29<00:16,  1.95it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.919:  64%|██████▍   | 58/90 [00:29<00:16,  1.98it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.918:  64%|██████▍   | 58/90 [00:29<00:16,  1.95it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.918:  66%|██████▌   | 59/90 [00:29<00:15,  1.98it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.919:  66%|██████▌   | 59/90 [00:30<00:15,  1.96it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.919:  67%|██████▋   | 60/90 [00:30<00:15,  1.99it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.920:  67%|██████▋   | 60/90 [00:30<00:15,  1.96it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.920:  68%|██████▊   | 61/90 [00:30<00:14,  1.99it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.920:  68%|██████▊   | 61/90 [00:31<00:14,  1.96it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.920:  69%|██████▉   | 62/90 [00:31<00:14,  2.00it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.920:  69%|██████▉   | 62/90 [00:31<00:14,  1.97it/s]
Epoch 25, validation pixAcc: 0.982, mIoU: 0.920:  70%|███████   | 63/90 [00:31<00:13,  2.00it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.921:  70%|███████   | 63/90 [00:31<00:13,  1.97it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.921:  71%|███████   | 64/90 [00:31<00:12,  2.00it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.921:  71%|███████   | 64/90 [00:32<00:13,  1.98it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.921:  72%|███████▏  | 65/90 [00:32<00:12,  2.01it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.921:  72%|███████▏  | 65/90 [00:32<00:12,  1.98it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.921:  73%|███████▎  | 66/90 [00:32<00:11,  2.01it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.921:  73%|███████▎  | 66/90 [00:33<00:12,  1.99it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.921:  74%|███████▍  | 67/90 [00:33<00:11,  2.02it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.921:  74%|███████▍  | 67/90 [00:33<00:11,  1.99it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.921:  76%|███████▌  | 68/90 [00:33<00:10,  2.02it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.921:  76%|███████▌  | 68/90 [00:34<00:11,  2.00it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.921:  77%|███████▋  | 69/90 [00:34<00:10,  2.02it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.922:  77%|███████▋  | 69/90 [00:34<00:10,  2.00it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.922:  78%|███████▊  | 70/90 [00:34<00:09,  2.03it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.922:  78%|███████▊  | 70/90 [00:34<00:09,  2.00it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.922:  79%|███████▉  | 71/90 [00:34<00:09,  2.03it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.922:  79%|███████▉  | 71/90 [00:35<00:09,  2.01it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.922:  80%|████████  | 72/90 [00:35<00:08,  2.03it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.922:  80%|████████  | 72/90 [00:35<00:08,  2.01it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.922:  81%|████████  | 73/90 [00:35<00:08,  2.04it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.923:  81%|████████  | 73/90 [00:36<00:08,  2.02it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.923:  82%|████████▏ | 74/90 [00:36<00:07,  2.04it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.923:  82%|████████▏ | 74/90 [00:36<00:07,  2.02it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.923:  83%|████████▎ | 75/90 [00:36<00:07,  2.04it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.923:  83%|████████▎ | 75/90 [00:37<00:07,  2.02it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.923:  84%|████████▍ | 76/90 [00:37<00:06,  2.05it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.923:  84%|████████▍ | 76/90 [00:37<00:06,  2.02it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.923:  86%|████████▌ | 77/90 [00:37<00:06,  2.05it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.923:  86%|████████▌ | 77/90 [00:38<00:06,  2.03it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.923:  87%|████████▋ | 78/90 [00:38<00:05,  2.05it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.924:  87%|████████▋ | 78/90 [00:38<00:05,  2.03it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.924:  88%|████████▊ | 79/90 [00:38<00:05,  2.06it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.924:  88%|████████▊ | 79/90 [00:38<00:05,  2.04it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.924:  89%|████████▉ | 80/90 [00:38<00:04,  2.06it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.924:  89%|████████▉ | 80/90 [00:39<00:04,  2.04it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.924:  90%|█████████ | 81/90 [00:39<00:04,  2.07it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  90%|█████████ | 81/90 [00:39<00:04,  2.04it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  91%|█████████ | 82/90 [00:39<00:03,  2.07it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  91%|█████████ | 82/90 [00:40<00:03,  2.05it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  92%|█████████▏| 83/90 [00:40<00:03,  2.07it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  92%|█████████▏| 83/90 [00:40<00:03,  2.05it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  93%|█████████▎| 84/90 [00:40<00:02,  2.08it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  93%|█████████▎| 84/90 [00:40<00:02,  2.05it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  94%|█████████▍| 85/90 [00:40<00:02,  2.08it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  94%|█████████▍| 85/90 [00:41<00:02,  2.06it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  96%|█████████▌| 86/90 [00:41<00:01,  2.08it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  96%|█████████▌| 86/90 [00:41<00:01,  2.06it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  97%|█████████▋| 87/90 [00:41<00:01,  2.08it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  97%|█████████▋| 87/90 [00:42<00:01,  2.06it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  98%|█████████▊| 88/90 [00:42<00:00,  2.09it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  98%|█████████▊| 88/90 [00:42<00:00,  2.07it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.925:  99%|█████████▉| 89/90 [00:42<00:00,  2.09it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.924:  99%|█████████▉| 89/90 [00:43<00:00,  2.07it/s]
Epoch 25, validation pixAcc: 0.983, mIoU: 0.924: 100%|██████████| 90/90 [00:43<00:00,  2.09it/s]

  0%|          | 0/182 [00:00<?, ?it/s]
Epoch 26, training loss 0.031:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 26, training loss 0.031:   1%|          | 1/182 [00:05<16:16,  5.40s/it]
Epoch 26, training loss 0.072:   1%|          | 1/182 [00:06<18:23,  6.10s/it]
Epoch 26, training loss 0.072:   1%|          | 2/182 [00:06<09:55,  3.31s/it]
Epoch 26, training loss 0.072:   1%|          | 2/182 [00:07<10:59,  3.66s/it]
Epoch 26, training loss 0.072:   2%|▏         | 3/182 [00:07<07:46,  2.61s/it]
Epoch 26, training loss 0.094:   2%|▏         | 3/182 [00:08<08:31,  2.86s/it]
Epoch 26, training loss 0.094:   2%|▏         | 4/182 [00:09<06:41,  2.26s/it]
Epoch 26, training loss 0.123:   2%|▏         | 4/182 [00:09<07:09,  2.41s/it]
Epoch 26, training loss 0.123:   3%|▎         | 5/182 [00:10<05:59,  2.03s/it]
Epoch 26, training loss 0.113:   3%|▎         | 5/182 [00:10<06:20,  2.15s/it]
Epoch 26, training loss 0.113:   3%|▎         | 6/182 [00:11<05:30,  1.88s/it]
Epoch 26, training loss 0.107:   3%|▎         | 6/182 [00:11<05:49,  1.98s/it]
Epoch 26, training loss 0.107:   4%|▍         | 7/182 [00:12<05:09,  1.77s/it]
Epoch 26, training loss 0.117:   4%|▍         | 7/182 [00:13<05:26,  1.87s/it]
Epoch 26, training loss 0.117:   4%|▍         | 8/182 [00:13<04:54,  1.69s/it]
Epoch 26, training loss 0.113:   4%|▍         | 8/182 [00:14<05:10,  1.79s/it]
Epoch 26, training loss 0.113:   5%|▍         | 9/182 [00:14<04:44,  1.64s/it]
Epoch 26, training loss 0.132:   5%|▍         | 9/182 [00:15<04:56,  1.71s/it]
Epoch 26, training loss 0.132:   5%|▌         | 10/182 [00:15<04:33,  1.59s/it]
Epoch 26, training loss 0.143:   5%|▌         | 10/182 [00:16<04:44,  1.66s/it]
Epoch 26, training loss 0.143:   6%|▌         | 11/182 [00:17<04:25,  1.55s/it]
Epoch 26, training loss 0.141:   6%|▌         | 11/182 [00:17<04:35,  1.61s/it]
Epoch 26, training loss 0.141:   7%|▋         | 12/182 [00:18<04:17,  1.52s/it]
Epoch 26, training loss 0.139:   7%|▋         | 12/182 [00:18<04:26,  1.57s/it]
Epoch 26, training loss 0.139:   7%|▋         | 13/182 [00:19<04:10,  1.48s/it]
Epoch 26, training loss 0.135:   7%|▋         | 13/182 [00:19<04:18,  1.53s/it]
Epoch 26, training loss 0.135:   8%|▊         | 14/182 [00:20<04:04,  1.46s/it]
Epoch 26, training loss 0.130:   8%|▊         | 14/182 [00:21<04:12,  1.50s/it]
Epoch 26, training loss 0.130:   8%|▊         | 15/182 [00:21<03:59,  1.44s/it]
Epoch 26, training loss 0.126:   8%|▊         | 15/182 [00:22<04:07,  1.48s/it]
Epoch 26, training loss 0.126:   9%|▉         | 16/182 [00:22<03:55,  1.42s/it]
Epoch 26, training loss 0.146:   9%|▉         | 16/182 [00:23<04:03,  1.46s/it]
Epoch 26, training loss 0.146:   9%|▉         | 17/182 [00:23<03:52,  1.41s/it]
Epoch 26, training loss 0.143:   9%|▉         | 17/182 [00:24<04:00,  1.45s/it]
Epoch 26, training loss 0.143:  10%|▉         | 18/182 [00:25<03:49,  1.40s/it]
Epoch 26, training loss 0.140:  10%|▉         | 18/182 [00:25<03:56,  1.44s/it]
Epoch 26, training loss 0.140:  10%|█         | 19/182 [00:26<03:46,  1.39s/it]
Epoch 26, training loss 0.142:  10%|█         | 19/182 [00:27<03:51,  1.42s/it]
Epoch 26, training loss 0.142:  11%|█         | 20/182 [00:27<03:43,  1.38s/it]
Epoch 26, training loss 0.148:  11%|█         | 20/182 [00:28<03:48,  1.41s/it]
Epoch 26, training loss 0.148:  12%|█▏        | 21/182 [00:28<03:39,  1.36s/it]
Epoch 26, training loss 0.150:  12%|█▏        | 21/182 [00:29<03:43,  1.39s/it]
Epoch 26, training loss 0.150:  12%|█▏        | 22/182 [00:29<03:36,  1.35s/it]
Epoch 26, training loss 0.146:  12%|█▏        | 22/182 [00:30<03:40,  1.38s/it]
Epoch 26, training loss 0.146:  13%|█▎        | 23/182 [00:30<03:32,  1.34s/it]
Epoch 26, training loss 0.142:  13%|█▎        | 23/182 [00:31<03:37,  1.37s/it]
Epoch 26, training loss 0.142:  13%|█▎        | 24/182 [00:31<03:30,  1.33s/it]
Epoch 26, training loss 0.141:  13%|█▎        | 24/182 [00:32<03:34,  1.35s/it]
Epoch 26, training loss 0.141:  14%|█▎        | 25/182 [00:33<03:27,  1.32s/it]
Epoch 26, training loss 0.136:  14%|█▎        | 25/182 [00:33<03:31,  1.35s/it]
Epoch 26, training loss 0.136:  14%|█▍        | 26/182 [00:34<03:24,  1.31s/it]
Epoch 26, training loss 0.133:  14%|█▍        | 26/182 [00:34<03:29,  1.34s/it]
Epoch 26, training loss 0.133:  15%|█▍        | 27/182 [00:35<03:23,  1.31s/it]
Epoch 26, training loss 0.134:  15%|█▍        | 27/182 [00:36<03:26,  1.33s/it]
Epoch 26, training loss 0.134:  15%|█▌        | 28/182 [00:36<03:20,  1.30s/it]
Epoch 26, training loss 0.137:  15%|█▌        | 28/182 [00:37<03:24,  1.33s/it]
Epoch 26, training loss 0.137:  16%|█▌        | 29/182 [00:37<03:18,  1.30s/it]
Epoch 26, training loss 0.136:  16%|█▌        | 29/182 [00:38<03:22,  1.32s/it]
Epoch 26, training loss 0.136:  16%|█▋        | 30/182 [00:38<03:16,  1.29s/it]
Epoch 26, training loss 0.134:  16%|█▋        | 30/182 [00:39<03:19,  1.31s/it]
Epoch 26, training loss 0.134:  17%|█▋        | 31/182 [00:39<03:14,  1.29s/it]
Epoch 26, training loss 0.138:  17%|█▋        | 31/182 [00:40<03:17,  1.31s/it]
Epoch 26, training loss 0.138:  18%|█▊        | 32/182 [00:41<03:12,  1.28s/it]
Epoch 26, training loss 0.135:  18%|█▊        | 32/182 [00:41<03:15,  1.30s/it]
Epoch 26, training loss 0.135:  18%|█▊        | 33/182 [00:42<03:10,  1.28s/it]
Epoch 26, training loss 0.134:  18%|█▊        | 33/182 [00:42<03:13,  1.30s/it]
Epoch 26, training loss 0.134:  19%|█▊        | 34/182 [00:43<03:08,  1.27s/it]
Epoch 26, training loss 0.132:  19%|█▊        | 34/182 [00:43<03:11,  1.29s/it]
Epoch 26, training loss 0.132:  19%|█▉        | 35/182 [00:44<03:06,  1.27s/it]
Epoch 26, training loss 0.130:  19%|█▉        | 35/182 [00:45<03:09,  1.29s/it]
Epoch 26, training loss 0.130:  20%|█▉        | 36/182 [00:45<03:04,  1.27s/it]
Epoch 26, training loss 0.130:  20%|█▉        | 36/182 [00:46<03:07,  1.29s/it]
Epoch 26, training loss 0.130:  20%|██        | 37/182 [00:46<03:03,  1.26s/it]
Epoch 26, training loss 0.127:  20%|██        | 37/182 [00:47<03:05,  1.28s/it]
Epoch 26, training loss 0.127:  21%|██        | 38/182 [00:47<03:01,  1.26s/it]
Epoch 26, training loss 0.126:  21%|██        | 38/182 [00:48<03:04,  1.28s/it]
Epoch 26, training loss 0.126:  21%|██▏       | 39/182 [00:49<03:00,  1.26s/it]
Epoch 26, training loss 0.124:  21%|██▏       | 39/182 [00:49<03:02,  1.28s/it]
Epoch 26, training loss 0.124:  22%|██▏       | 40/182 [00:50<02:58,  1.26s/it]
Epoch 26, training loss 0.126:  22%|██▏       | 40/182 [00:50<03:00,  1.27s/it]
Epoch 26, training loss 0.126:  23%|██▎       | 41/182 [00:51<02:56,  1.25s/it]
Epoch 26, training loss 0.130:  23%|██▎       | 41/182 [00:52<02:58,  1.27s/it]
Epoch 26, training loss 0.130:  23%|██▎       | 42/182 [00:52<02:55,  1.25s/it]
Epoch 26, training loss 0.132:  23%|██▎       | 42/182 [00:53<02:57,  1.27s/it]
Epoch 26, training loss 0.132:  24%|██▎       | 43/182 [00:53<02:53,  1.25s/it]
Epoch 26, training loss 0.130:  24%|██▎       | 43/182 [00:54<02:55,  1.27s/it]
Epoch 26, training loss 0.130:  24%|██▍       | 44/182 [00:54<02:52,  1.25s/it]
Epoch 26, training loss 0.130:  24%|██▍       | 44/182 [00:55<02:54,  1.26s/it]
Epoch 26, training loss 0.130:  25%|██▍       | 45/182 [00:56<02:50,  1.25s/it]
Epoch 26, training loss 0.128:  25%|██▍       | 45/182 [00:56<02:52,  1.26s/it]
Epoch 26, training loss 0.128:  25%|██▌       | 46/182 [00:57<02:49,  1.24s/it]
Epoch 26, training loss 0.127:  25%|██▌       | 46/182 [00:57<02:51,  1.26s/it]
Epoch 26, training loss 0.127:  26%|██▌       | 47/182 [00:58<02:47,  1.24s/it]
Epoch 26, training loss 0.127:  26%|██▌       | 47/182 [00:58<02:49,  1.26s/it]
Epoch 26, training loss 0.127:  26%|██▋       | 48/182 [00:59<02:46,  1.24s/it]
Epoch 26, training loss 0.131:  26%|██▋       | 48/182 [01:00<02:47,  1.25s/it]
Epoch 26, training loss 0.131:  27%|██▋       | 49/182 [01:00<02:44,  1.24s/it]
Epoch 26, training loss 0.130:  27%|██▋       | 49/182 [01:01<02:46,  1.25s/it]
Epoch 26, training loss 0.130:  27%|██▋       | 50/182 [01:01<02:43,  1.24s/it]
Epoch 26, training loss 0.128:  27%|██▋       | 50/182 [01:02<02:44,  1.25s/it]
Epoch 26, training loss 0.128:  28%|██▊       | 51/182 [01:02<02:41,  1.23s/it]
Epoch 26, training loss 0.127:  28%|██▊       | 51/182 [01:03<02:43,  1.25s/it]
Epoch 26, training loss 0.127:  29%|██▊       | 52/182 [01:04<02:40,  1.23s/it]
Epoch 26, training loss 0.125:  29%|██▊       | 52/182 [01:04<02:41,  1.25s/it]
Epoch 26, training loss 0.125:  29%|██▉       | 53/182 [01:05<02:38,  1.23s/it]
Epoch 26, training loss 0.123:  29%|██▉       | 53/182 [01:05<02:40,  1.24s/it]
Epoch 26, training loss 0.123:  30%|██▉       | 54/182 [01:06<02:37,  1.23s/it]
Epoch 26, training loss 0.122:  30%|██▉       | 54/182 [01:07<02:39,  1.24s/it]
Epoch 26, training loss 0.122:  30%|███       | 55/182 [01:07<02:36,  1.23s/it]
Epoch 26, training loss 0.122:  30%|███       | 55/182 [01:08<02:37,  1.24s/it]
Epoch 26, training loss 0.122:  31%|███       | 56/182 [01:08<02:34,  1.23s/it]
Epoch 26, training loss 0.123:  31%|███       | 56/182 [01:09<02:35,  1.24s/it]
Epoch 26, training loss 0.123:  31%|███▏      | 57/182 [01:09<02:33,  1.23s/it]
Epoch 26, training loss 0.123:  31%|███▏      | 57/182 [01:10<02:34,  1.24s/it]
Epoch 26, training loss 0.123:  32%|███▏      | 58/182 [01:10<02:31,  1.22s/it]
Epoch 26, training loss 0.124:  32%|███▏      | 58/182 [01:11<02:33,  1.23s/it]
Epoch 26, training loss 0.124:  32%|███▏      | 59/182 [01:12<02:30,  1.22s/it]
Epoch 26, training loss 0.126:  32%|███▏      | 59/182 [01:12<02:31,  1.23s/it]
Epoch 26, training loss 0.126:  33%|███▎      | 60/182 [01:13<02:28,  1.22s/it]
Epoch 26, training loss 0.125:  33%|███▎      | 60/182 [01:13<02:30,  1.23s/it]
Epoch 26, training loss 0.125:  34%|███▎      | 61/182 [01:14<02:27,  1.22s/it]
Epoch 26, training loss 0.125:  34%|███▎      | 61/182 [01:15<02:28,  1.23s/it]
Epoch 26, training loss 0.125:  34%|███▍      | 62/182 [01:15<02:26,  1.22s/it]
Epoch 26, training loss 0.127:  34%|███▍      | 62/182 [01:16<02:27,  1.23s/it]
Epoch 26, training loss 0.127:  35%|███▍      | 63/182 [01:16<02:24,  1.22s/it]
Epoch 26, training loss 0.128:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 26, training loss 0.128:  35%|███▌      | 64/182 [01:17<02:23,  1.22s/it]
Epoch 26, training loss 0.128:  35%|███▌      | 64/182 [01:18<02:24,  1.23s/it]
Epoch 26, training loss 0.128:  36%|███▌      | 65/182 [01:18<02:22,  1.22s/it]
Epoch 26, training loss 0.126:  36%|███▌      | 65/182 [01:19<02:23,  1.22s/it]
Epoch 26, training loss 0.126:  36%|███▋      | 66/182 [01:20<02:20,  1.21s/it]
Epoch 26, training loss 0.126:  36%|███▋      | 66/182 [01:20<02:21,  1.22s/it]
Epoch 26, training loss 0.126:  37%|███▋      | 67/182 [01:21<02:19,  1.21s/it]
Epoch 26, training loss 0.125:  37%|███▋      | 67/182 [01:21<02:20,  1.22s/it]
Epoch 26, training loss 0.125:  37%|███▋      | 68/182 [01:22<02:17,  1.21s/it]
Epoch 26, training loss 0.124:  37%|███▋      | 68/182 [01:22<02:19,  1.22s/it]
Epoch 26, training loss 0.124:  38%|███▊      | 69/182 [01:23<02:16,  1.21s/it]
Epoch 26, training loss 0.124:  38%|███▊      | 69/182 [01:24<02:17,  1.22s/it]
Epoch 26, training loss 0.124:  38%|███▊      | 70/182 [01:24<02:15,  1.21s/it]
Epoch 26, training loss 0.124:  38%|███▊      | 70/182 [01:25<02:16,  1.22s/it]
Epoch 26, training loss 0.124:  39%|███▉      | 71/182 [01:25<02:13,  1.21s/it]
Epoch 26, training loss 0.124:  39%|███▉      | 71/182 [01:26<02:14,  1.22s/it]
Epoch 26, training loss 0.124:  40%|███▉      | 72/182 [01:26<02:12,  1.21s/it]
Epoch 26, training loss 0.123:  40%|███▉      | 72/182 [01:27<02:13,  1.21s/it]
Epoch 26, training loss 0.123:  40%|████      | 73/182 [01:27<02:11,  1.20s/it]
Epoch 26, training loss 0.122:  40%|████      | 73/182 [01:28<02:12,  1.21s/it]
Epoch 26, training loss 0.122:  41%|████      | 74/182 [01:29<02:09,  1.20s/it]
Epoch 26, training loss 0.121:  41%|████      | 74/182 [01:29<02:10,  1.21s/it]
Epoch 26, training loss 0.121:  41%|████      | 75/182 [01:30<02:08,  1.20s/it]
Epoch 26, training loss 0.123:  41%|████      | 75/182 [01:30<02:09,  1.21s/it]
Epoch 26, training loss 0.123:  42%|████▏     | 76/182 [01:31<02:07,  1.20s/it]
Epoch 26, training loss 0.122:  42%|████▏     | 76/182 [01:31<02:08,  1.21s/it]
Epoch 26, training loss 0.122:  42%|████▏     | 77/182 [01:32<02:05,  1.20s/it]
Epoch 26, training loss 0.121:  42%|████▏     | 77/182 [01:33<02:06,  1.21s/it]
Epoch 26, training loss 0.121:  43%|████▎     | 78/182 [01:33<02:04,  1.20s/it]
Epoch 26, training loss 0.120:  43%|████▎     | 78/182 [01:34<02:05,  1.21s/it]
Epoch 26, training loss 0.120:  43%|████▎     | 79/182 [01:34<02:03,  1.20s/it]
Epoch 26, training loss 0.120:  43%|████▎     | 79/182 [01:35<02:04,  1.21s/it]
Epoch 26, training loss 0.120:  44%|████▍     | 80/182 [01:35<02:02,  1.20s/it]
Epoch 26, training loss 0.125:  44%|████▍     | 80/182 [01:36<02:03,  1.21s/it]
Epoch 26, training loss 0.125:  45%|████▍     | 81/182 [01:37<02:01,  1.20s/it]
Epoch 26, training loss 0.131:  45%|████▍     | 81/182 [01:37<02:01,  1.21s/it]
Epoch 26, training loss 0.131:  45%|████▌     | 82/182 [01:38<01:59,  1.20s/it]
Epoch 26, training loss 0.131:  45%|████▌     | 82/182 [01:38<02:00,  1.21s/it]
Epoch 26, training loss 0.131:  46%|████▌     | 83/182 [01:39<01:58,  1.20s/it]
Epoch 26, training loss 0.130:  46%|████▌     | 83/182 [01:40<01:59,  1.21s/it]
Epoch 26, training loss 0.130:  46%|████▌     | 84/182 [01:40<01:57,  1.20s/it]
Epoch 26, training loss 0.129:  46%|████▌     | 84/182 [01:41<01:58,  1.20s/it]
Epoch 26, training loss 0.129:  47%|████▋     | 85/182 [01:41<01:56,  1.20s/it]
Epoch 26, training loss 0.128:  47%|████▋     | 85/182 [01:42<01:56,  1.20s/it]
Epoch 26, training loss 0.128:  47%|████▋     | 86/182 [01:42<01:54,  1.20s/it]
Epoch 26, training loss 0.127:  47%|████▋     | 86/182 [01:43<01:55,  1.20s/it]
Epoch 26, training loss 0.127:  48%|████▊     | 87/182 [01:44<01:53,  1.20s/it]
Epoch 26, training loss 0.127:  48%|████▊     | 87/182 [01:44<01:54,  1.20s/it]
Epoch 26, training loss 0.127:  48%|████▊     | 88/182 [01:45<01:52,  1.19s/it]
Epoch 26, training loss 0.127:  48%|████▊     | 88/182 [01:45<01:53,  1.20s/it]
Epoch 26, training loss 0.127:  49%|████▉     | 89/182 [01:46<01:51,  1.20s/it]
Epoch 26, training loss 0.128:  49%|████▉     | 89/182 [01:47<01:51,  1.20s/it]
Epoch 26, training loss 0.128:  49%|████▉     | 90/182 [01:47<01:49,  1.19s/it]
Epoch 26, training loss 0.127:  49%|████▉     | 90/182 [01:48<01:50,  1.20s/it]
Epoch 26, training loss 0.127:  50%|█████     | 91/182 [01:48<01:48,  1.19s/it]
Epoch 26, training loss 0.126:  50%|█████     | 91/182 [01:49<01:49,  1.20s/it]
Epoch 26, training loss 0.126:  51%|█████     | 92/182 [01:49<01:47,  1.19s/it]
Epoch 26, training loss 0.125:  51%|█████     | 92/182 [01:50<01:48,  1.20s/it]
Epoch 26, training loss 0.125:  51%|█████     | 93/182 [01:51<01:46,  1.19s/it]
Epoch 26, training loss 0.124:  51%|█████     | 93/182 [01:51<01:46,  1.20s/it]
Epoch 26, training loss 0.124:  52%|█████▏    | 94/182 [01:52<01:45,  1.19s/it]
Epoch 26, training loss 0.125:  52%|█████▏    | 94/182 [01:52<01:45,  1.20s/it]
Epoch 26, training loss 0.125:  52%|█████▏    | 95/182 [01:53<01:43,  1.19s/it]
Epoch 26, training loss 0.124:  52%|█████▏    | 95/182 [01:54<01:44,  1.20s/it]
Epoch 26, training loss 0.124:  53%|█████▎    | 96/182 [01:54<01:42,  1.19s/it]
Epoch 26, training loss 0.126:  53%|█████▎    | 96/182 [01:55<01:43,  1.20s/it]
Epoch 26, training loss 0.126:  53%|█████▎    | 97/182 [01:55<01:41,  1.19s/it]
Epoch 26, training loss 0.125:  53%|█████▎    | 97/182 [01:56<01:41,  1.20s/it]
Epoch 26, training loss 0.125:  54%|█████▍    | 98/182 [01:56<01:40,  1.19s/it]
Epoch 26, training loss 0.125:  54%|█████▍    | 98/182 [01:57<01:40,  1.20s/it]
Epoch 26, training loss 0.125:  54%|█████▍    | 99/182 [01:58<01:38,  1.19s/it]
Epoch 26, training loss 0.124:  54%|█████▍    | 99/182 [01:58<01:39,  1.20s/it]
Epoch 26, training loss 0.124:  55%|█████▍    | 100/182 [01:59<01:37,  1.19s/it]
Epoch 26, training loss 0.124:  55%|█████▍    | 100/182 [01:59<01:38,  1.20s/it]
Epoch 26, training loss 0.124:  55%|█████▌    | 101/182 [02:00<01:36,  1.19s/it]
Epoch 26, training loss 0.123:  55%|█████▌    | 101/182 [02:00<01:36,  1.20s/it]
Epoch 26, training loss 0.123:  56%|█████▌    | 102/182 [02:01<01:35,  1.19s/it]
Epoch 26, training loss 0.123:  56%|█████▌    | 102/182 [02:02<01:35,  1.20s/it]
Epoch 26, training loss 0.123:  57%|█████▋    | 103/182 [02:02<01:34,  1.19s/it]
Epoch 26, training loss 0.126:  57%|█████▋    | 103/182 [02:03<01:34,  1.20s/it]
Epoch 26, training loss 0.126:  57%|█████▋    | 104/182 [02:03<01:32,  1.19s/it]
Epoch 26, training loss 0.125:  57%|█████▋    | 104/182 [02:04<01:33,  1.20s/it]
Epoch 26, training loss 0.125:  58%|█████▊    | 105/182 [02:04<01:31,  1.19s/it]
Epoch 26, training loss 0.124:  58%|█████▊    | 105/182 [02:05<01:32,  1.20s/it]
Epoch 26, training loss 0.124:  58%|█████▊    | 106/182 [02:06<01:30,  1.19s/it]
Epoch 26, training loss 0.123:  58%|█████▊    | 106/182 [02:06<01:30,  1.20s/it]
Epoch 26, training loss 0.123:  59%|█████▉    | 107/182 [02:07<01:29,  1.19s/it]
Epoch 26, training loss 0.124:  59%|█████▉    | 107/182 [02:07<01:29,  1.20s/it]
Epoch 26, training loss 0.124:  59%|█████▉    | 108/182 [02:08<01:27,  1.19s/it]
Epoch 26, training loss 0.123:  59%|█████▉    | 108/182 [02:08<01:28,  1.19s/it]
Epoch 26, training loss 0.123:  60%|█████▉    | 109/182 [02:09<01:26,  1.19s/it]
Epoch 26, training loss 0.122:  60%|█████▉    | 109/182 [02:10<01:27,  1.19s/it]
Epoch 26, training loss 0.122:  60%|██████    | 110/182 [02:10<01:25,  1.19s/it]
Epoch 26, training loss 0.122:  60%|██████    | 110/182 [02:11<01:25,  1.19s/it]
Epoch 26, training loss 0.122:  61%|██████    | 111/182 [02:11<01:24,  1.19s/it]
Epoch 26, training loss 0.123:  61%|██████    | 111/182 [02:12<01:24,  1.19s/it]
Epoch 26, training loss 0.123:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 26, training loss 0.122:  62%|██████▏   | 112/182 [02:13<01:23,  1.19s/it]
Epoch 26, training loss 0.122:  62%|██████▏   | 113/182 [02:14<01:21,  1.19s/it]
Epoch 26, training loss 0.123:  62%|██████▏   | 113/182 [02:14<01:22,  1.19s/it]
Epoch 26, training loss 0.123:  63%|██████▎   | 114/182 [02:15<01:20,  1.19s/it]
Epoch 26, training loss 0.123:  63%|██████▎   | 114/182 [02:16<01:21,  1.19s/it]
Epoch 26, training loss 0.123:  63%|██████▎   | 115/182 [02:16<01:19,  1.19s/it]
Epoch 26, training loss 0.122:  63%|██████▎   | 115/182 [02:17<01:19,  1.19s/it]
Epoch 26, training loss 0.122:  64%|██████▎   | 116/182 [02:17<01:18,  1.19s/it]
Epoch 26, training loss 0.121:  64%|██████▎   | 116/182 [02:18<01:18,  1.19s/it]
Epoch 26, training loss 0.121:  64%|██████▍   | 117/182 [02:18<01:17,  1.19s/it]
Epoch 26, training loss 0.121:  64%|██████▍   | 117/182 [02:19<01:17,  1.19s/it]
Epoch 26, training loss 0.121:  65%|██████▍   | 118/182 [02:19<01:15,  1.19s/it]
Epoch 26, training loss 0.121:  65%|██████▍   | 118/182 [02:20<01:16,  1.19s/it]
Epoch 26, training loss 0.121:  65%|██████▌   | 119/182 [02:21<01:14,  1.19s/it]
Epoch 26, training loss 0.126:  65%|██████▌   | 119/182 [02:21<01:15,  1.19s/it]
Epoch 26, training loss 0.126:  66%|██████▌   | 120/182 [02:22<01:13,  1.19s/it]
Epoch 26, training loss 0.125:  66%|██████▌   | 120/182 [02:22<01:13,  1.19s/it]
Epoch 26, training loss 0.125:  66%|██████▋   | 121/182 [02:23<01:12,  1.18s/it]
Epoch 26, training loss 0.125:  66%|██████▋   | 121/182 [02:23<01:12,  1.19s/it]
Epoch 26, training loss 0.125:  67%|██████▋   | 122/182 [02:24<01:11,  1.18s/it]
Epoch 26, training loss 0.125:  67%|██████▋   | 122/182 [02:25<01:11,  1.19s/it]
Epoch 26, training loss 0.125:  68%|██████▊   | 123/182 [02:25<01:09,  1.18s/it]
Epoch 26, training loss 0.124:  68%|██████▊   | 123/182 [02:26<01:10,  1.19s/it]
Epoch 26, training loss 0.124:  68%|██████▊   | 124/182 [02:26<01:08,  1.18s/it]
Epoch 26, training loss 0.124:  68%|██████▊   | 124/182 [02:27<01:09,  1.19s/it]
Epoch 26, training loss 0.124:  69%|██████▊   | 125/182 [02:28<01:07,  1.18s/it]
Epoch 26, training loss 0.124:  69%|██████▊   | 125/182 [02:28<01:07,  1.19s/it]
Epoch 26, training loss 0.124:  69%|██████▉   | 126/182 [02:29<01:06,  1.18s/it]
Epoch 26, training loss 0.124:  69%|██████▉   | 126/182 [02:29<01:06,  1.19s/it]
Epoch 26, training loss 0.124:  70%|██████▉   | 127/182 [02:30<01:05,  1.18s/it]
Epoch 26, training loss 0.125:  70%|██████▉   | 127/182 [02:30<01:05,  1.19s/it]
Epoch 26, training loss 0.125:  70%|███████   | 128/182 [02:31<01:03,  1.18s/it]
Epoch 26, training loss 0.125:  70%|███████   | 128/182 [02:32<01:04,  1.19s/it]
Epoch 26, training loss 0.125:  71%|███████   | 129/182 [02:32<01:02,  1.18s/it]
Epoch 26, training loss 0.125:  71%|███████   | 129/182 [02:33<01:02,  1.19s/it]
Epoch 26, training loss 0.125:  71%|███████▏  | 130/182 [02:33<01:01,  1.18s/it]
Epoch 26, training loss 0.124:  71%|███████▏  | 130/182 [02:34<01:01,  1.19s/it]
Epoch 26, training loss 0.124:  72%|███████▏  | 131/182 [02:34<01:00,  1.18s/it]
Epoch 26, training loss 0.124:  72%|███████▏  | 131/182 [02:35<01:00,  1.19s/it]
Epoch 26, training loss 0.124:  73%|███████▎  | 132/182 [02:36<00:59,  1.18s/it]
Epoch 26, training loss 0.123:  73%|███████▎  | 132/182 [02:36<00:59,  1.19s/it]
Epoch 26, training loss 0.123:  73%|███████▎  | 133/182 [02:37<00:57,  1.18s/it]
Epoch 26, training loss 0.123:  73%|███████▎  | 133/182 [02:37<00:58,  1.19s/it]
Epoch 26, training loss 0.123:  74%|███████▎  | 134/182 [02:38<00:56,  1.18s/it]
Epoch 26, training loss 0.123:  74%|███████▎  | 134/182 [02:38<00:56,  1.19s/it]
Epoch 26, training loss 0.123:  74%|███████▍  | 135/182 [02:39<00:55,  1.18s/it]
Epoch 26, training loss 0.123:  74%|███████▍  | 135/182 [02:40<00:55,  1.19s/it]
Epoch 26, training loss 0.123:  75%|███████▍  | 136/182 [02:40<00:54,  1.18s/it]
Epoch 26, training loss 0.123:  75%|███████▍  | 136/182 [02:41<00:54,  1.19s/it]
Epoch 26, training loss 0.123:  75%|███████▌  | 137/182 [02:41<00:53,  1.18s/it]
Epoch 26, training loss 0.124:  75%|███████▌  | 137/182 [02:42<00:53,  1.19s/it]
Epoch 26, training loss 0.124:  76%|███████▌  | 138/182 [02:42<00:51,  1.18s/it]
Epoch 26, training loss 0.124:  76%|███████▌  | 138/182 [02:43<00:52,  1.19s/it]
Epoch 26, training loss 0.124:  76%|███████▋  | 139/182 [02:44<00:50,  1.18s/it]
Epoch 26, training loss 0.123:  76%|███████▋  | 139/182 [02:44<00:50,  1.18s/it]
Epoch 26, training loss 0.123:  77%|███████▋  | 140/182 [02:45<00:49,  1.18s/it]
Epoch 26, training loss 0.124:  77%|███████▋  | 140/182 [02:45<00:49,  1.18s/it]
Epoch 26, training loss 0.124:  77%|███████▋  | 141/182 [02:46<00:48,  1.18s/it]
Epoch 26, training loss 0.123:  77%|███████▋  | 141/182 [02:46<00:48,  1.18s/it]
Epoch 26, training loss 0.123:  78%|███████▊  | 142/182 [02:47<00:47,  1.18s/it]
Epoch 26, training loss 0.123:  78%|███████▊  | 142/182 [02:48<00:47,  1.18s/it]
Epoch 26, training loss 0.123:  79%|███████▊  | 143/182 [02:48<00:45,  1.18s/it]
Epoch 26, training loss 0.123:  79%|███████▊  | 143/182 [02:49<00:46,  1.18s/it]
Epoch 26, training loss 0.123:  79%|███████▉  | 144/182 [02:49<00:44,  1.18s/it]
Epoch 26, training loss 0.124:  79%|███████▉  | 144/182 [02:50<00:45,  1.18s/it]
Epoch 26, training loss 0.124:  80%|███████▉  | 145/182 [02:51<00:43,  1.18s/it]
Epoch 26, training loss 0.123:  80%|███████▉  | 145/182 [02:51<00:43,  1.18s/it]
Epoch 26, training loss 0.123:  80%|████████  | 146/182 [02:52<00:42,  1.18s/it]
Epoch 26, training loss 0.123:  80%|████████  | 146/182 [02:52<00:42,  1.18s/it]
Epoch 26, training loss 0.123:  81%|████████  | 147/182 [02:53<00:41,  1.18s/it]
Epoch 26, training loss 0.123:  81%|████████  | 147/182 [02:53<00:41,  1.18s/it]
Epoch 26, training loss 0.123:  81%|████████▏ | 148/182 [02:54<00:40,  1.18s/it]
Epoch 26, training loss 0.123:  81%|████████▏ | 148/182 [02:55<00:40,  1.18s/it]
Epoch 26, training loss 0.123:  82%|████████▏ | 149/182 [02:55<00:38,  1.18s/it]
Epoch 26, training loss 0.122:  82%|████████▏ | 149/182 [02:56<00:39,  1.18s/it]
Epoch 26, training loss 0.122:  82%|████████▏ | 150/182 [02:56<00:37,  1.18s/it]
Epoch 26, training loss 0.122:  82%|████████▏ | 150/182 [02:57<00:37,  1.18s/it]
Epoch 26, training loss 0.122:  83%|████████▎ | 151/182 [02:57<00:36,  1.18s/it]
Epoch 26, training loss 0.122:  83%|████████▎ | 151/182 [02:58<00:36,  1.18s/it]
Epoch 26, training loss 0.122:  84%|████████▎ | 152/182 [02:59<00:35,  1.18s/it]
Epoch 26, training loss 0.121:  84%|████████▎ | 152/182 [02:59<00:35,  1.18s/it]
Epoch 26, training loss 0.121:  84%|████████▍ | 153/182 [03:00<00:34,  1.18s/it]
Epoch 26, training loss 0.121:  84%|████████▍ | 153/182 [03:01<00:34,  1.18s/it]
Epoch 26, training loss 0.121:  85%|████████▍ | 154/182 [03:01<00:33,  1.18s/it]
Epoch 26, training loss 0.121:  85%|████████▍ | 154/182 [03:02<00:33,  1.18s/it]
Epoch 26, training loss 0.121:  85%|████████▌ | 155/182 [03:02<00:31,  1.18s/it]
Epoch 26, training loss 0.121:  85%|████████▌ | 155/182 [03:03<00:31,  1.18s/it]
Epoch 26, training loss 0.121:  86%|████████▌ | 156/182 [03:03<00:30,  1.18s/it]
Epoch 26, training loss 0.120:  86%|████████▌ | 156/182 [03:04<00:30,  1.18s/it]
Epoch 26, training loss 0.120:  86%|████████▋ | 157/182 [03:04<00:29,  1.18s/it]
Epoch 26, training loss 0.120:  86%|████████▋ | 157/182 [03:05<00:29,  1.18s/it]
Epoch 26, training loss 0.120:  87%|████████▋ | 158/182 [03:05<00:28,  1.18s/it]
Epoch 26, training loss 0.120:  87%|████████▋ | 158/182 [03:06<00:28,  1.18s/it]
Epoch 26, training loss 0.120:  87%|████████▋ | 159/182 [03:07<00:27,  1.18s/it]
Epoch 26, training loss 0.119:  87%|████████▋ | 159/182 [03:07<00:27,  1.18s/it]
Epoch 26, training loss 0.119:  88%|████████▊ | 160/182 [03:08<00:25,  1.18s/it]
Epoch 26, training loss 0.122:  88%|████████▊ | 160/182 [03:09<00:25,  1.18s/it]
Epoch 26, training loss 0.122:  88%|████████▊ | 161/182 [03:09<00:24,  1.18s/it]
Epoch 26, training loss 0.122:  88%|████████▊ | 161/182 [03:10<00:24,  1.18s/it]
Epoch 26, training loss 0.122:  89%|████████▉ | 162/182 [03:10<00:23,  1.18s/it]
Epoch 26, training loss 0.126:  89%|████████▉ | 162/182 [03:11<00:23,  1.18s/it]
Epoch 26, training loss 0.126:  90%|████████▉ | 163/182 [03:11<00:22,  1.18s/it]
Epoch 26, training loss 0.126:  90%|████████▉ | 163/182 [03:12<00:22,  1.18s/it]
Epoch 26, training loss 0.126:  90%|█████████ | 164/182 [03:13<00:21,  1.18s/it]
Epoch 26, training loss 0.126:  90%|█████████ | 164/182 [03:13<00:21,  1.18s/it]
Epoch 26, training loss 0.126:  91%|█████████ | 165/182 [03:14<00:20,  1.18s/it]
Epoch 26, training loss 0.127:  91%|█████████ | 165/182 [03:14<00:20,  1.18s/it]
Epoch 26, training loss 0.127:  91%|█████████ | 166/182 [03:15<00:18,  1.18s/it]
Epoch 26, training loss 0.126:  91%|█████████ | 166/182 [03:16<00:18,  1.18s/it]
Epoch 26, training loss 0.126:  92%|█████████▏| 167/182 [03:16<00:17,  1.18s/it]
Epoch 26, training loss 0.126:  92%|█████████▏| 167/182 [03:17<00:17,  1.18s/it]
Epoch 26, training loss 0.126:  92%|█████████▏| 168/182 [03:17<00:16,  1.18s/it]
Epoch 26, training loss 0.126:  92%|█████████▏| 168/182 [03:18<00:16,  1.18s/it]
Epoch 26, training loss 0.126:  93%|█████████▎| 169/182 [03:18<00:15,  1.18s/it]
Epoch 26, training loss 0.126:  93%|█████████▎| 169/182 [03:19<00:15,  1.18s/it]
Epoch 26, training loss 0.126:  93%|█████████▎| 170/182 [03:20<00:14,  1.18s/it]
Epoch 26, training loss 0.126:  93%|█████████▎| 170/182 [03:20<00:14,  1.18s/it]
Epoch 26, training loss 0.126:  94%|█████████▍| 171/182 [03:21<00:12,  1.18s/it]
Epoch 26, training loss 0.125:  94%|█████████▍| 171/182 [03:21<00:12,  1.18s/it]
Epoch 26, training loss 0.125:  95%|█████████▍| 172/182 [03:22<00:11,  1.18s/it]
Epoch 26, training loss 0.125:  95%|█████████▍| 172/182 [03:22<00:11,  1.18s/it]
Epoch 26, training loss 0.125:  95%|█████████▌| 173/182 [03:23<00:10,  1.18s/it]
Epoch 26, training loss 0.125:  95%|█████████▌| 173/182 [03:24<00:10,  1.18s/it]
Epoch 26, training loss 0.125:  96%|█████████▌| 174/182 [03:24<00:09,  1.18s/it]
Epoch 26, training loss 0.125:  96%|█████████▌| 174/182 [03:25<00:09,  1.18s/it]
Epoch 26, training loss 0.125:  96%|█████████▌| 175/182 [03:25<00:08,  1.18s/it]
Epoch 26, training loss 0.125:  96%|█████████▌| 175/182 [03:26<00:08,  1.18s/it]
Epoch 26, training loss 0.125:  97%|█████████▋| 176/182 [03:26<00:07,  1.18s/it]
Epoch 26, training loss 0.125:  97%|█████████▋| 176/182 [03:27<00:07,  1.18s/it]
Epoch 26, training loss 0.125:  97%|█████████▋| 177/182 [03:28<00:05,  1.18s/it]
Epoch 26, training loss 0.126:  97%|█████████▋| 177/182 [03:28<00:05,  1.18s/it]
Epoch 26, training loss 0.126:  98%|█████████▊| 178/182 [03:29<00:04,  1.18s/it]
Epoch 26, training loss 0.126:  98%|█████████▊| 178/182 [03:29<00:04,  1.18s/it]
Epoch 26, training loss 0.126:  98%|█████████▊| 179/182 [03:30<00:03,  1.18s/it]
Epoch 26, training loss 0.127:  98%|█████████▊| 179/182 [03:30<00:03,  1.18s/it]
Epoch 26, training loss 0.127:  99%|█████████▉| 180/182 [03:31<00:02,  1.17s/it]
Epoch 26, training loss 0.127:  99%|█████████▉| 180/182 [03:31<00:02,  1.18s/it]
Epoch 26, training loss 0.127:  99%|█████████▉| 181/182 [03:32<00:01,  1.17s/it]
Epoch 26, training loss 0.127:  99%|█████████▉| 181/182 [03:33<00:01,  1.18s/it]
Epoch 26, training loss 0.127: 100%|██████████| 182/182 [03:33<00:00,  1.17s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 26, validation pixAcc: 0.977, mIoU: 0.615:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 26, validation pixAcc: 0.977, mIoU: 0.615:   1%|          | 1/91 [00:04<07:11,  4.80s/it]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.761:   1%|          | 1/91 [00:05<07:55,  5.28s/it]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.761:   2%|▏         | 2/91 [00:05<03:54,  2.64s/it]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.793:   2%|▏         | 2/91 [00:05<04:14,  2.86s/it]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.793:   3%|▎         | 3/91 [00:05<02:47,  1.90s/it]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.801:   3%|▎         | 3/91 [00:06<03:00,  2.05s/it]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.801:   4%|▍         | 4/91 [00:06<02:13,  1.54s/it]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.897:   4%|▍         | 4/91 [00:06<02:22,  1.64s/it]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.897:   5%|▌         | 5/91 [00:06<01:52,  1.31s/it]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.902:   5%|▌         | 5/91 [00:06<01:59,  1.39s/it]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.902:   7%|▋         | 6/91 [00:06<01:38,  1.16s/it]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.900:   7%|▋         | 6/91 [00:07<01:44,  1.23s/it]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.900:   8%|▊         | 7/91 [00:07<01:28,  1.06s/it]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.900:   8%|▊         | 7/91 [00:07<01:33,  1.12s/it]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.900:   9%|▉         | 8/91 [00:07<01:21,  1.02it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.902:   9%|▉         | 8/91 [00:08<01:25,  1.03s/it]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.902:  10%|▉         | 9/91 [00:08<01:15,  1.09it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.907:  10%|▉         | 9/91 [00:08<01:19,  1.03it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.907:  11%|█         | 10/91 [00:08<01:10,  1.15it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.907:  11%|█         | 10/91 [00:09<01:14,  1.09it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.907:  12%|█▏        | 11/91 [00:09<01:06,  1.20it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.905:  12%|█▏        | 11/91 [00:09<01:09,  1.15it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.905:  13%|█▎        | 12/91 [00:09<01:03,  1.25it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.903:  13%|█▎        | 12/91 [00:10<01:06,  1.19it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.903:  14%|█▍        | 13/91 [00:10<01:00,  1.29it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.912:  14%|█▍        | 13/91 [00:10<01:02,  1.24it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.912:  15%|█▌        | 14/91 [00:10<00:57,  1.34it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.911:  15%|█▌        | 14/91 [00:10<01:00,  1.28it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.911:  16%|█▋        | 15/91 [00:10<00:55,  1.37it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.916:  16%|█▋        | 15/91 [00:11<00:57,  1.32it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.916:  18%|█▊        | 16/91 [00:11<00:53,  1.41it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.915:  18%|█▊        | 16/91 [00:11<00:55,  1.35it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.915:  19%|█▊        | 17/91 [00:11<00:51,  1.44it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.913:  19%|█▊        | 17/91 [00:12<00:53,  1.39it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.913:  20%|█▉        | 18/91 [00:12<00:49,  1.47it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.908:  20%|█▉        | 18/91 [00:12<00:51,  1.42it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.908:  21%|██        | 19/91 [00:12<00:48,  1.50it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.905:  21%|██        | 19/91 [00:13<00:49,  1.45it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.905:  22%|██▏       | 20/91 [00:13<00:46,  1.53it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.906:  22%|██▏       | 20/91 [00:13<00:47,  1.48it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.906:  23%|██▎       | 21/91 [00:13<00:45,  1.56it/s]
Epoch 26, validation pixAcc: 0.977, mIoU: 0.904:  23%|██▎       | 21/91 [00:13<00:46,  1.51it/s]
Epoch 26, validation pixAcc: 0.977, mIoU: 0.904:  24%|██▍       | 22/91 [00:13<00:43,  1.58it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.905:  24%|██▍       | 22/91 [00:14<00:44,  1.54it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.905:  25%|██▌       | 23/91 [00:14<00:42,  1.61it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.907:  25%|██▌       | 23/91 [00:14<00:43,  1.56it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.907:  26%|██▋       | 24/91 [00:14<00:41,  1.63it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.905:  26%|██▋       | 24/91 [00:15<00:42,  1.58it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.905:  27%|██▋       | 25/91 [00:15<00:40,  1.64it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.906:  27%|██▋       | 25/91 [00:15<00:41,  1.60it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.906:  29%|██▊       | 26/91 [00:15<00:39,  1.66it/s]
Epoch 26, validation pixAcc: 0.977, mIoU: 0.907:  29%|██▊       | 26/91 [00:16<00:40,  1.62it/s]
Epoch 26, validation pixAcc: 0.977, mIoU: 0.907:  30%|██▉       | 27/91 [00:16<00:38,  1.68it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.910:  30%|██▉       | 27/91 [00:16<00:39,  1.64it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.910:  31%|███       | 28/91 [00:16<00:37,  1.70it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.909:  31%|███       | 28/91 [00:16<00:38,  1.65it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.909:  32%|███▏      | 29/91 [00:16<00:36,  1.71it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.911:  32%|███▏      | 29/91 [00:17<00:37,  1.67it/s]
Epoch 26, validation pixAcc: 0.978, mIoU: 0.911:  33%|███▎      | 30/91 [00:17<00:35,  1.73it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.913:  33%|███▎      | 30/91 [00:17<00:36,  1.68it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.913:  34%|███▍      | 31/91 [00:17<00:34,  1.74it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.913:  34%|███▍      | 31/91 [00:18<00:35,  1.70it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.913:  35%|███▌      | 32/91 [00:18<00:33,  1.75it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.915:  35%|███▌      | 32/91 [00:18<00:34,  1.71it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.915:  36%|███▋      | 33/91 [00:18<00:32,  1.76it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.915:  36%|███▋      | 33/91 [00:19<00:33,  1.72it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.915:  37%|███▋      | 34/91 [00:19<00:32,  1.78it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.915:  37%|███▋      | 34/91 [00:19<00:32,  1.74it/s]
Epoch 26, validation pixAcc: 0.979, mIoU: 0.915:  38%|███▊      | 35/91 [00:19<00:31,  1.79it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.916:  38%|███▊      | 35/91 [00:19<00:31,  1.75it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.916:  40%|███▉      | 36/91 [00:19<00:30,  1.80it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.916:  40%|███▉      | 36/91 [00:20<00:31,  1.76it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.916:  41%|████      | 37/91 [00:20<00:29,  1.81it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.916:  41%|████      | 37/91 [00:20<00:30,  1.78it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.916:  42%|████▏     | 38/91 [00:20<00:29,  1.83it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.916:  42%|████▏     | 38/91 [00:21<00:29,  1.79it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.916:  43%|████▎     | 39/91 [00:21<00:28,  1.84it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.917:  43%|████▎     | 39/91 [00:21<00:28,  1.81it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.917:  44%|████▍     | 40/91 [00:21<00:27,  1.85it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.917:  44%|████▍     | 40/91 [00:22<00:28,  1.82it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.917:  45%|████▌     | 41/91 [00:22<00:26,  1.86it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.917:  45%|████▌     | 41/91 [00:22<00:27,  1.83it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.917:  46%|████▌     | 42/91 [00:22<00:26,  1.87it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.918:  46%|████▌     | 42/91 [00:22<00:26,  1.83it/s]
Epoch 26, validation pixAcc: 0.980, mIoU: 0.918:  47%|████▋     | 43/91 [00:22<00:25,  1.88it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.918:  47%|████▋     | 43/91 [00:23<00:26,  1.84it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.918:  48%|████▊     | 44/91 [00:23<00:24,  1.88it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.918:  48%|████▊     | 44/91 [00:23<00:25,  1.85it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.918:  49%|████▉     | 45/91 [00:23<00:24,  1.89it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.919:  49%|████▉     | 45/91 [00:24<00:24,  1.86it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.919:  51%|█████     | 46/91 [00:24<00:23,  1.90it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.919:  51%|█████     | 46/91 [00:24<00:24,  1.87it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.919:  52%|█████▏    | 47/91 [00:24<00:23,  1.91it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.919:  52%|█████▏    | 47/91 [00:25<00:23,  1.87it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.919:  53%|█████▎    | 48/91 [00:25<00:22,  1.91it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.918:  53%|█████▎    | 48/91 [00:25<00:22,  1.88it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.918:  54%|█████▍    | 49/91 [00:25<00:21,  1.92it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.918:  54%|█████▍    | 49/91 [00:25<00:22,  1.89it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.918:  55%|█████▍    | 50/91 [00:25<00:21,  1.93it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.919:  55%|█████▍    | 50/91 [00:26<00:21,  1.90it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.919:  56%|█████▌    | 51/91 [00:26<00:20,  1.93it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.920:  56%|█████▌    | 51/91 [00:26<00:21,  1.90it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.920:  57%|█████▋    | 52/91 [00:26<00:20,  1.94it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.919:  57%|█████▋    | 52/91 [00:27<00:20,  1.91it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.919:  58%|█████▊    | 53/91 [00:27<00:19,  1.95it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.919:  58%|█████▊    | 53/91 [00:27<00:19,  1.91it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.919:  59%|█████▉    | 54/91 [00:27<00:18,  1.95it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.919:  59%|█████▉    | 54/91 [00:28<00:19,  1.92it/s]
Epoch 26, validation pixAcc: 0.981, mIoU: 0.919:  60%|██████    | 55/91 [00:28<00:18,  1.96it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.919:  60%|██████    | 55/91 [00:28<00:18,  1.92it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.919:  62%|██████▏   | 56/91 [00:28<00:17,  1.96it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.919:  62%|██████▏   | 56/91 [00:29<00:18,  1.93it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.919:  63%|██████▎   | 57/91 [00:29<00:17,  1.97it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.919:  63%|██████▎   | 57/91 [00:29<00:17,  1.94it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.919:  64%|██████▎   | 58/91 [00:29<00:16,  1.97it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.919:  64%|██████▎   | 58/91 [00:29<00:16,  1.95it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.919:  65%|██████▍   | 59/91 [00:29<00:16,  1.98it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.919:  65%|██████▍   | 59/91 [00:30<00:16,  1.95it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.919:  66%|██████▌   | 60/91 [00:30<00:15,  1.99it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.920:  66%|██████▌   | 60/91 [00:30<00:15,  1.96it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.920:  67%|██████▋   | 61/91 [00:30<00:15,  1.99it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.920:  67%|██████▋   | 61/91 [00:31<00:15,  1.96it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.920:  68%|██████▊   | 62/91 [00:31<00:14,  1.99it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.921:  68%|██████▊   | 62/91 [00:31<00:14,  1.97it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.921:  69%|██████▉   | 63/91 [00:31<00:14,  2.00it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.921:  69%|██████▉   | 63/91 [00:31<00:14,  1.97it/s]
Epoch 26, validation pixAcc: 0.982, mIoU: 0.921:  70%|███████   | 64/91 [00:31<00:13,  2.00it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.922:  70%|███████   | 64/91 [00:32<00:13,  1.97it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.922:  71%|███████▏  | 65/91 [00:32<00:12,  2.01it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.922:  71%|███████▏  | 65/91 [00:32<00:13,  1.98it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.922:  73%|███████▎  | 66/91 [00:32<00:12,  2.01it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.922:  73%|███████▎  | 66/91 [00:33<00:12,  1.98it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.922:  74%|███████▎  | 67/91 [00:33<00:11,  2.01it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.922:  74%|███████▎  | 67/91 [00:33<00:12,  1.98it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.922:  75%|███████▍  | 68/91 [00:33<00:11,  2.01it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.922:  75%|███████▍  | 68/91 [00:34<00:11,  1.99it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.922:  76%|███████▌  | 69/91 [00:34<00:10,  2.02it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  76%|███████▌  | 69/91 [00:34<00:11,  1.99it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  77%|███████▋  | 70/91 [00:34<00:10,  2.02it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  77%|███████▋  | 70/91 [00:35<00:10,  2.00it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  78%|███████▊  | 71/91 [00:35<00:09,  2.03it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  78%|███████▊  | 71/91 [00:35<00:09,  2.00it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  79%|███████▉  | 72/91 [00:35<00:09,  2.03it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  79%|███████▉  | 72/91 [00:35<00:09,  2.00it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  80%|████████  | 73/91 [00:35<00:08,  2.03it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  80%|████████  | 73/91 [00:36<00:08,  2.01it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  81%|████████▏ | 74/91 [00:36<00:08,  2.03it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  81%|████████▏ | 74/91 [00:36<00:08,  2.01it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  82%|████████▏ | 75/91 [00:36<00:07,  2.04it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  82%|████████▏ | 75/91 [00:37<00:07,  2.02it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  84%|████████▎ | 76/91 [00:37<00:07,  2.04it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.924:  84%|████████▎ | 76/91 [00:37<00:07,  2.02it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.924:  85%|████████▍ | 77/91 [00:37<00:06,  2.05it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.924:  85%|████████▍ | 77/91 [00:38<00:06,  2.02it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.924:  86%|████████▌ | 78/91 [00:38<00:06,  2.05it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  86%|████████▌ | 78/91 [00:38<00:06,  2.03it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.923:  87%|████████▋ | 79/91 [00:38<00:05,  2.05it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.924:  87%|████████▋ | 79/91 [00:38<00:05,  2.03it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.924:  88%|████████▊ | 80/91 [00:38<00:05,  2.06it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  88%|████████▊ | 80/91 [00:39<00:05,  2.03it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  89%|████████▉ | 81/91 [00:39<00:04,  2.06it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  89%|████████▉ | 81/91 [00:39<00:04,  2.04it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  90%|█████████ | 82/91 [00:39<00:04,  2.06it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  90%|█████████ | 82/91 [00:40<00:04,  2.04it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  91%|█████████ | 83/91 [00:40<00:03,  2.07it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  91%|█████████ | 83/91 [00:40<00:03,  2.04it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  92%|█████████▏| 84/91 [00:40<00:03,  2.07it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.926:  92%|█████████▏| 84/91 [00:41<00:03,  2.05it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.926:  93%|█████████▎| 85/91 [00:41<00:02,  2.07it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.926:  93%|█████████▎| 85/91 [00:41<00:02,  2.05it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.926:  95%|█████████▍| 86/91 [00:41<00:02,  2.07it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  95%|█████████▍| 86/91 [00:41<00:02,  2.05it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  96%|█████████▌| 87/91 [00:41<00:01,  2.08it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  96%|█████████▌| 87/91 [00:42<00:01,  2.05it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  97%|█████████▋| 88/91 [00:42<00:01,  2.08it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  97%|█████████▋| 88/91 [00:42<00:01,  2.06it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  98%|█████████▊| 89/91 [00:42<00:00,  2.08it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  98%|█████████▊| 89/91 [00:43<00:00,  2.06it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  99%|█████████▉| 90/91 [00:43<00:00,  2.08it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925:  99%|█████████▉| 90/91 [00:43<00:00,  2.06it/s]
Epoch 26, validation pixAcc: 0.983, mIoU: 0.925: 100%|██████████| 91/91 [00:43<00:00,  2.08it/s]

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Epoch 27, training loss 0.034:   0%|          | 0/182 [00:05<?, ?it/s]
Epoch 27, training loss 0.034:   1%|          | 1/182 [00:05<16:43,  5.55s/it]
Epoch 27, training loss 0.034:   1%|          | 1/182 [00:06<19:01,  6.31s/it]
Epoch 27, training loss 0.034:   1%|          | 2/182 [00:06<10:13,  3.41s/it]
Epoch 27, training loss 0.044:   1%|          | 2/182 [00:07<11:26,  3.81s/it]
Epoch 27, training loss 0.044:   2%|▏         | 3/182 [00:08<08:04,  2.71s/it]
Epoch 27, training loss 0.059:   2%|▏         | 3/182 [00:08<08:50,  2.96s/it]
Epoch 27, training loss 0.059:   2%|▏         | 4/182 [00:09<06:57,  2.35s/it]
Epoch 27, training loss 0.063:   2%|▏         | 4/182 [00:09<07:23,  2.49s/it]
Epoch 27, training loss 0.063:   3%|▎         | 5/182 [00:10<06:10,  2.10s/it]
Epoch 27, training loss 0.065:   3%|▎         | 5/182 [00:11<06:33,  2.22s/it]
Epoch 27, training loss 0.065:   3%|▎         | 6/182 [00:11<05:40,  1.94s/it]
Epoch 27, training loss 0.061:   3%|▎         | 6/182 [00:12<06:00,  2.05s/it]
Epoch 27, training loss 0.061:   4%|▍         | 7/182 [00:12<05:19,  1.83s/it]
Epoch 27, training loss 0.098:   4%|▍         | 7/182 [00:13<05:38,  1.93s/it]
Epoch 27, training loss 0.098:   4%|▍         | 8/182 [00:14<05:05,  1.76s/it]
Epoch 27, training loss 0.094:   4%|▍         | 8/182 [00:14<05:21,  1.85s/it]
Epoch 27, training loss 0.094:   5%|▍         | 9/182 [00:15<04:53,  1.70s/it]
Epoch 27, training loss 0.089:   5%|▍         | 9/182 [00:15<05:04,  1.76s/it]
Epoch 27, training loss 0.089:   5%|▌         | 10/182 [00:16<04:41,  1.64s/it]
Epoch 27, training loss 0.083:   5%|▌         | 10/182 [00:17<04:53,  1.71s/it]
Epoch 27, training loss 0.083:   6%|▌         | 11/182 [00:17<04:33,  1.60s/it]
Epoch 27, training loss 0.084:   6%|▌         | 11/182 [00:18<04:43,  1.66s/it]
Epoch 27, training loss 0.084:   7%|▋         | 12/182 [00:18<04:26,  1.57s/it]
Epoch 27, training loss 0.096:   7%|▋         | 12/182 [00:19<04:36,  1.63s/it]
Epoch 27, training loss 0.096:   7%|▋         | 13/182 [00:20<04:20,  1.54s/it]
Epoch 27, training loss 0.104:   7%|▋         | 13/182 [00:20<04:28,  1.59s/it]
Epoch 27, training loss 0.104:   8%|▊         | 14/182 [00:21<04:14,  1.51s/it]
Epoch 27, training loss 0.100:   8%|▊         | 14/182 [00:21<04:22,  1.56s/it]
Epoch 27, training loss 0.100:   8%|▊         | 15/182 [00:22<04:09,  1.49s/it]
Epoch 27, training loss 0.098:   8%|▊         | 15/182 [00:23<04:16,  1.54s/it]
Epoch 27, training loss 0.098:   9%|▉         | 16/182 [00:23<04:04,  1.47s/it]
Epoch 27, training loss 0.098:   9%|▉         | 16/182 [00:24<04:12,  1.52s/it]
Epoch 27, training loss 0.098:   9%|▉         | 17/182 [00:24<04:00,  1.46s/it]
Epoch 27, training loss 0.098:   9%|▉         | 17/182 [00:25<04:06,  1.50s/it]
Epoch 27, training loss 0.098:  10%|▉         | 18/182 [00:25<03:56,  1.44s/it]
Epoch 27, training loss 0.101:  10%|▉         | 18/182 [00:26<04:03,  1.48s/it]
Epoch 27, training loss 0.101:  10%|█         | 19/182 [00:27<03:53,  1.43s/it]
Epoch 27, training loss 0.099:  10%|█         | 19/182 [00:27<04:00,  1.47s/it]
Epoch 27, training loss 0.099:  11%|█         | 20/182 [00:28<03:50,  1.42s/it]
Epoch 27, training loss 0.098:  11%|█         | 20/182 [00:29<03:57,  1.46s/it]
Epoch 27, training loss 0.098:  12%|█▏        | 21/182 [00:29<03:48,  1.42s/it]
Epoch 27, training loss 0.096:  12%|█▏        | 21/182 [00:30<03:53,  1.45s/it]
Epoch 27, training loss 0.096:  12%|█▏        | 22/182 [00:30<03:44,  1.40s/it]
Epoch 27, training loss 0.106:  12%|█▏        | 22/182 [00:31<03:48,  1.43s/it]
Epoch 27, training loss 0.106:  13%|█▎        | 23/182 [00:31<03:41,  1.39s/it]
Epoch 27, training loss 0.106:  13%|█▎        | 23/182 [00:32<03:45,  1.42s/it]
Epoch 27, training loss 0.106:  13%|█▎        | 24/182 [00:33<03:38,  1.38s/it]
Epoch 27, training loss 0.103:  13%|█▎        | 24/182 [00:33<03:43,  1.41s/it]
Epoch 27, training loss 0.103:  14%|█▎        | 25/182 [00:34<03:35,  1.37s/it]
Epoch 27, training loss 0.106:  14%|█▎        | 25/182 [00:35<03:39,  1.40s/it]
Epoch 27, training loss 0.106:  14%|█▍        | 26/182 [00:35<03:33,  1.37s/it]
Epoch 27, training loss 0.106:  14%|█▍        | 26/182 [00:36<03:37,  1.39s/it]
Epoch 27, training loss 0.106:  15%|█▍        | 27/182 [00:36<03:30,  1.36s/it]
Epoch 27, training loss 0.103:  15%|█▍        | 27/182 [00:37<03:34,  1.39s/it]
Epoch 27, training loss 0.103:  15%|█▌        | 28/182 [00:37<03:28,  1.35s/it]
Epoch 27, training loss 0.107:  15%|█▌        | 28/182 [00:38<03:32,  1.38s/it]
Epoch 27, training loss 0.107:  16%|█▌        | 29/182 [00:39<03:26,  1.35s/it]
Epoch 27, training loss 0.106:  16%|█▌        | 29/182 [00:39<03:30,  1.37s/it]
Epoch 27, training loss 0.106:  16%|█▋        | 30/182 [00:40<03:24,  1.34s/it]
Epoch 27, training loss 0.109:  16%|█▋        | 30/182 [00:40<03:27,  1.37s/it]
Epoch 27, training loss 0.109:  17%|█▋        | 31/182 [00:41<03:22,  1.34s/it]
Epoch 27, training loss 0.109:  17%|█▋        | 31/182 [00:42<03:25,  1.36s/it]
Epoch 27, training loss 0.109:  18%|█▊        | 32/182 [00:42<03:19,  1.33s/it]
Epoch 27, training loss 0.108:  18%|█▊        | 32/182 [00:43<03:23,  1.36s/it]
Epoch 27, training loss 0.108:  18%|█▊        | 33/182 [00:43<03:18,  1.33s/it]
Epoch 27, training loss 0.112:  18%|█▊        | 33/182 [00:44<03:21,  1.35s/it]
Epoch 27, training loss 0.112:  19%|█▊        | 34/182 [00:45<03:16,  1.33s/it]
Epoch 27, training loss 0.110:  19%|█▊        | 34/182 [00:45<03:19,  1.35s/it]
Epoch 27, training loss 0.110:  19%|█▉        | 35/182 [00:46<03:14,  1.32s/it]
Epoch 27, training loss 0.108:  19%|█▉        | 35/182 [00:46<03:16,  1.34s/it]
Epoch 27, training loss 0.108:  20%|█▉        | 36/182 [00:47<03:11,  1.31s/it]
Epoch 27, training loss 0.107:  20%|█▉        | 36/182 [00:47<03:14,  1.33s/it]
Epoch 27, training loss 0.107:  20%|██        | 37/182 [00:48<03:09,  1.31s/it]
Epoch 27, training loss 0.106:  20%|██        | 37/182 [00:49<03:12,  1.33s/it]
Epoch 27, training loss 0.106:  21%|██        | 38/182 [00:49<03:08,  1.31s/it]
Epoch 27, training loss 0.104:  21%|██        | 38/182 [00:50<03:10,  1.32s/it]
Epoch 27, training loss 0.104:  21%|██▏       | 39/182 [00:50<03:06,  1.30s/it]
Epoch 27, training loss 0.122:  21%|██▏       | 39/182 [00:51<03:08,  1.32s/it]
Epoch 27, training loss 0.122:  22%|██▏       | 40/182 [00:52<03:04,  1.30s/it]
Epoch 27, training loss 0.122:  22%|██▏       | 40/182 [00:52<03:07,  1.32s/it]
Epoch 27, training loss 0.122:  23%|██▎       | 41/182 [00:53<03:02,  1.30s/it]
Epoch 27, training loss 0.122:  23%|██▎       | 41/182 [00:53<03:05,  1.31s/it]
Epoch 27, training loss 0.122:  23%|██▎       | 42/182 [00:54<03:01,  1.30s/it]
Epoch 27, training loss 0.121:  23%|██▎       | 42/182 [00:55<03:03,  1.31s/it]
Epoch 27, training loss 0.121:  24%|██▎       | 43/182 [00:55<02:59,  1.29s/it]
Epoch 27, training loss 0.119:  24%|██▎       | 43/182 [00:56<03:01,  1.31s/it]
Epoch 27, training loss 0.119:  24%|██▍       | 44/182 [00:56<02:57,  1.29s/it]
Epoch 27, training loss 0.121:  24%|██▍       | 44/182 [00:57<03:00,  1.31s/it]
Epoch 27, training loss 0.121:  25%|██▍       | 45/182 [00:57<02:56,  1.29s/it]
Epoch 27, training loss 0.122:  25%|██▍       | 45/182 [00:58<02:58,  1.30s/it]
Epoch 27, training loss 0.122:  25%|██▌       | 46/182 [00:59<02:55,  1.29s/it]
Epoch 27, training loss 0.121:  25%|██▌       | 46/182 [00:59<02:57,  1.30s/it]
Epoch 27, training loss 0.121:  26%|██▌       | 47/182 [01:00<02:53,  1.29s/it]
Epoch 27, training loss 0.119:  26%|██▌       | 47/182 [01:01<02:55,  1.30s/it]
Epoch 27, training loss 0.119:  26%|██▋       | 48/182 [01:01<02:51,  1.28s/it]
Epoch 27, training loss 0.118:  26%|██▋       | 48/182 [01:02<02:53,  1.30s/it]
Epoch 27, training loss 0.118:  27%|██▋       | 49/182 [01:02<02:50,  1.28s/it]
Epoch 27, training loss 0.118:  27%|██▋       | 49/182 [01:03<02:51,  1.29s/it]
Epoch 27, training loss 0.118:  27%|██▋       | 50/182 [01:03<02:48,  1.28s/it]
Epoch 27, training loss 0.117:  27%|██▋       | 50/182 [01:04<02:50,  1.29s/it]
Epoch 27, training loss 0.117:  28%|██▊       | 51/182 [01:05<02:46,  1.27s/it]
Epoch 27, training loss 0.116:  28%|██▊       | 51/182 [01:05<02:48,  1.29s/it]
Epoch 27, training loss 0.116:  29%|██▊       | 52/182 [01:06<02:45,  1.27s/it]
Epoch 27, training loss 0.115:  29%|██▊       | 52/182 [01:06<02:47,  1.29s/it]
Epoch 27, training loss 0.115:  29%|██▉       | 53/182 [01:07<02:44,  1.27s/it]
Epoch 27, training loss 0.113:  29%|██▉       | 53/182 [01:08<02:45,  1.28s/it]
Epoch 27, training loss 0.113:  30%|██▉       | 54/182 [01:08<02:42,  1.27s/it]
Epoch 27, training loss 0.119:  30%|██▉       | 54/182 [01:09<02:44,  1.28s/it]
Epoch 27, training loss 0.119:  30%|███       | 55/182 [01:09<02:41,  1.27s/it]
Epoch 27, training loss 0.118:  30%|███       | 55/182 [01:10<02:42,  1.28s/it]
Epoch 27, training loss 0.118:  31%|███       | 56/182 [01:10<02:39,  1.27s/it]
Epoch 27, training loss 0.117:  31%|███       | 56/182 [01:11<02:41,  1.28s/it]
Epoch 27, training loss 0.117:  31%|███▏      | 57/182 [01:12<02:38,  1.26s/it]
Epoch 27, training loss 0.116:  31%|███▏      | 57/182 [01:12<02:39,  1.28s/it]
Epoch 27, training loss 0.116:  32%|███▏      | 58/182 [01:13<02:36,  1.26s/it]
Epoch 27, training loss 0.119:  32%|███▏      | 58/182 [01:13<02:38,  1.28s/it]
Epoch 27, training loss 0.119:  32%|███▏      | 59/182 [01:14<02:35,  1.26s/it]
Epoch 27, training loss 0.118:  32%|███▏      | 59/182 [01:15<02:36,  1.27s/it]
Epoch 27, training loss 0.118:  33%|███▎      | 60/182 [01:15<02:33,  1.26s/it]
Epoch 27, training loss 0.117:  33%|███▎      | 60/182 [01:16<02:35,  1.27s/it]
Epoch 27, training loss 0.117:  34%|███▎      | 61/182 [01:16<02:32,  1.26s/it]
Epoch 27, training loss 0.136:  34%|███▎      | 61/182 [01:17<02:33,  1.27s/it]
Epoch 27, training loss 0.136:  34%|███▍      | 62/182 [01:18<02:31,  1.26s/it]
Epoch 27, training loss 0.140:  34%|███▍      | 62/182 [01:18<02:32,  1.27s/it]
Epoch 27, training loss 0.140:  35%|███▍      | 63/182 [01:19<02:29,  1.26s/it]
Epoch 27, training loss 0.138:  35%|███▍      | 63/182 [01:19<02:30,  1.27s/it]
Epoch 27, training loss 0.138:  35%|███▌      | 64/182 [01:20<02:28,  1.25s/it]
Epoch 27, training loss 0.138:  35%|███▌      | 64/182 [01:20<02:29,  1.27s/it]
Epoch 27, training loss 0.138:  36%|███▌      | 65/182 [01:21<02:26,  1.25s/it]
Epoch 27, training loss 0.137:  36%|███▌      | 65/182 [01:22<02:27,  1.26s/it]
Epoch 27, training loss 0.137:  36%|███▋      | 66/182 [01:22<02:25,  1.25s/it]
Epoch 27, training loss 0.137:  36%|███▋      | 66/182 [01:23<02:26,  1.26s/it]
Epoch 27, training loss 0.137:  37%|███▋      | 67/182 [01:23<02:24,  1.25s/it]
Epoch 27, training loss 0.136:  37%|███▋      | 67/182 [01:24<02:25,  1.26s/it]
Epoch 27, training loss 0.136:  37%|███▋      | 68/182 [01:25<02:22,  1.25s/it]
Epoch 27, training loss 0.137:  37%|███▋      | 68/182 [01:25<02:23,  1.26s/it]
Epoch 27, training loss 0.137:  38%|███▊      | 69/182 [01:26<02:21,  1.25s/it]
Epoch 27, training loss 0.136:  38%|███▊      | 69/182 [01:26<02:22,  1.26s/it]
Epoch 27, training loss 0.136:  38%|███▊      | 70/182 [01:27<02:19,  1.25s/it]
Epoch 27, training loss 0.137:  38%|███▊      | 70/182 [01:27<02:20,  1.26s/it]
Epoch 27, training loss 0.137:  39%|███▉      | 71/182 [01:28<02:18,  1.25s/it]
Epoch 27, training loss 0.135:  39%|███▉      | 71/182 [01:29<02:19,  1.26s/it]
Epoch 27, training loss 0.135:  40%|███▉      | 72/182 [01:29<02:17,  1.25s/it]
Epoch 27, training loss 0.134:  40%|███▉      | 72/182 [01:30<02:18,  1.26s/it]
Epoch 27, training loss 0.134:  40%|████      | 73/182 [01:30<02:15,  1.25s/it]
Epoch 27, training loss 0.133:  40%|████      | 73/182 [01:31<02:16,  1.26s/it]
Epoch 27, training loss 0.133:  41%|████      | 74/182 [01:32<02:14,  1.24s/it]
Epoch 27, training loss 0.132:  41%|████      | 74/182 [01:32<02:15,  1.25s/it]
Epoch 27, training loss 0.132:  41%|████      | 75/182 [01:33<02:12,  1.24s/it]
Epoch 27, training loss 0.137:  41%|████      | 75/182 [01:33<02:13,  1.25s/it]
Epoch 27, training loss 0.137:  42%|████▏     | 76/182 [01:34<02:11,  1.24s/it]
Epoch 27, training loss 0.136:  42%|████▏     | 76/182 [01:34<02:12,  1.25s/it]
Epoch 27, training loss 0.136:  42%|████▏     | 77/182 [01:35<02:10,  1.24s/it]
Epoch 27, training loss 0.135:  42%|████▏     | 77/182 [01:36<02:11,  1.25s/it]
Epoch 27, training loss 0.135:  43%|████▎     | 78/182 [01:36<02:08,  1.24s/it]
Epoch 27, training loss 0.136:  43%|████▎     | 78/182 [01:37<02:09,  1.25s/it]
Epoch 27, training loss 0.136:  43%|████▎     | 79/182 [01:37<02:07,  1.24s/it]
Epoch 27, training loss 0.135:  43%|████▎     | 79/182 [01:38<02:08,  1.25s/it]
Epoch 27, training loss 0.135:  44%|████▍     | 80/182 [01:39<02:06,  1.24s/it]
Epoch 27, training loss 0.138:  44%|████▍     | 80/182 [01:39<02:07,  1.25s/it]
Epoch 27, training loss 0.138:  45%|████▍     | 81/182 [01:40<02:04,  1.24s/it]
Epoch 27, training loss 0.138:  45%|████▍     | 81/182 [01:40<02:05,  1.24s/it]
Epoch 27, training loss 0.138:  45%|████▌     | 82/182 [01:41<02:03,  1.24s/it]
Epoch 27, training loss 0.138:  45%|████▌     | 82/182 [01:41<02:04,  1.24s/it]
Epoch 27, training loss 0.138:  46%|████▌     | 83/182 [01:42<02:02,  1.23s/it]
Epoch 27, training loss 0.138:  46%|████▌     | 83/182 [01:43<02:03,  1.24s/it]
Epoch 27, training loss 0.138:  46%|████▌     | 84/182 [01:43<02:00,  1.23s/it]
Epoch 27, training loss 0.137:  46%|████▌     | 84/182 [01:44<02:01,  1.24s/it]
Epoch 27, training loss 0.137:  47%|████▋     | 85/182 [01:45<01:59,  1.24s/it]
Epoch 27, training loss 0.136:  47%|████▋     | 85/182 [01:45<02:00,  1.24s/it]
Epoch 27, training loss 0.136:  47%|████▋     | 86/182 [01:46<01:58,  1.23s/it]
Epoch 27, training loss 0.135:  47%|████▋     | 86/182 [01:46<01:59,  1.24s/it]
Epoch 27, training loss 0.135:  48%|████▊     | 87/182 [01:47<01:57,  1.23s/it]
Epoch 27, training loss 0.135:  48%|████▊     | 87/182 [01:47<01:57,  1.24s/it]
Epoch 27, training loss 0.135:  48%|████▊     | 88/182 [01:48<01:55,  1.23s/it]
Epoch 27, training loss 0.136:  48%|████▊     | 88/182 [01:49<01:56,  1.24s/it]
Epoch 27, training loss 0.136:  49%|████▉     | 89/182 [01:49<01:54,  1.23s/it]
Epoch 27, training loss 0.137:  49%|████▉     | 89/182 [01:50<01:55,  1.24s/it]
Epoch 27, training loss 0.137:  49%|████▉     | 90/182 [01:50<01:53,  1.23s/it]
Epoch 27, training loss 0.136:  49%|████▉     | 90/182 [01:51<01:54,  1.24s/it]
Epoch 27, training loss 0.136:  50%|█████     | 91/182 [01:52<01:52,  1.23s/it]
Epoch 27, training loss 0.137:  50%|█████     | 91/182 [01:52<01:52,  1.24s/it]
Epoch 27, training loss 0.137:  51%|█████     | 92/182 [01:53<01:50,  1.23s/it]
Epoch 27, training loss 0.137:  51%|█████     | 92/182 [01:53<01:51,  1.24s/it]
Epoch 27, training loss 0.137:  51%|█████     | 93/182 [01:54<01:49,  1.23s/it]
Epoch 27, training loss 0.137:  51%|█████     | 93/182 [01:55<01:50,  1.24s/it]
Epoch 27, training loss 0.137:  52%|█████▏    | 94/182 [01:55<01:48,  1.23s/it]
Epoch 27, training loss 0.137:  52%|█████▏    | 94/182 [01:56<01:48,  1.24s/it]
Epoch 27, training loss 0.137:  52%|█████▏    | 95/182 [01:56<01:46,  1.23s/it]
Epoch 27, training loss 0.148:  52%|█████▏    | 95/182 [01:57<01:47,  1.24s/it]
Epoch 27, training loss 0.148:  53%|█████▎    | 96/182 [01:57<01:45,  1.23s/it]
Epoch 27, training loss 0.148:  53%|█████▎    | 96/182 [01:58<01:46,  1.24s/it]
Epoch 27, training loss 0.148:  53%|█████▎    | 97/182 [01:59<01:44,  1.23s/it]
Epoch 27, training loss 0.149:  53%|█████▎    | 97/182 [01:59<01:45,  1.24s/it]
Epoch 27, training loss 0.149:  54%|█████▍    | 98/182 [02:00<01:43,  1.23s/it]
Epoch 27, training loss 0.149:  54%|█████▍    | 98/182 [02:01<01:43,  1.24s/it]
Epoch 27, training loss 0.149:  54%|█████▍    | 99/182 [02:01<01:41,  1.23s/it]
Epoch 27, training loss 0.149:  54%|█████▍    | 99/182 [02:02<01:42,  1.23s/it]
Epoch 27, training loss 0.149:  55%|█████▍    | 100/182 [02:02<01:40,  1.23s/it]
Epoch 27, training loss 0.148:  55%|█████▍    | 100/182 [02:03<01:41,  1.23s/it]
Epoch 27, training loss 0.148:  55%|█████▌    | 101/182 [02:03<01:39,  1.23s/it]
Epoch 27, training loss 0.147:  55%|█████▌    | 101/182 [02:04<01:39,  1.23s/it]
Epoch 27, training loss 0.147:  56%|█████▌    | 102/182 [02:04<01:37,  1.22s/it]
Epoch 27, training loss 0.147:  56%|█████▌    | 102/182 [02:05<01:38,  1.23s/it]
Epoch 27, training loss 0.147:  57%|█████▋    | 103/182 [02:06<01:36,  1.22s/it]
Epoch 27, training loss 0.146:  57%|█████▋    | 103/182 [02:06<01:37,  1.23s/it]
Epoch 27, training loss 0.146:  57%|█████▋    | 104/182 [02:07<01:35,  1.22s/it]
Epoch 27, training loss 0.145:  57%|█████▋    | 104/182 [02:07<01:35,  1.23s/it]
Epoch 27, training loss 0.145:  58%|█████▊    | 105/182 [02:08<01:34,  1.22s/it]
Epoch 27, training loss 0.144:  58%|█████▊    | 105/182 [02:09<01:34,  1.23s/it]
Epoch 27, training loss 0.144:  58%|█████▊    | 106/182 [02:09<01:32,  1.22s/it]
Epoch 27, training loss 0.144:  58%|█████▊    | 106/182 [02:10<01:33,  1.23s/it]
Epoch 27, training loss 0.144:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 27, training loss 0.143:  59%|█████▉    | 107/182 [02:11<01:32,  1.23s/it]
Epoch 27, training loss 0.143:  59%|█████▉    | 108/182 [02:11<01:30,  1.22s/it]
Epoch 27, training loss 0.144:  59%|█████▉    | 108/182 [02:12<01:30,  1.23s/it]
Epoch 27, training loss 0.144:  60%|█████▉    | 109/182 [02:13<01:29,  1.22s/it]
Epoch 27, training loss 0.145:  60%|█████▉    | 109/182 [02:13<01:29,  1.23s/it]
Epoch 27, training loss 0.145:  60%|██████    | 110/182 [02:14<01:27,  1.22s/it]
Epoch 27, training loss 0.144:  60%|██████    | 110/182 [02:14<01:28,  1.23s/it]
Epoch 27, training loss 0.144:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 27, training loss 0.143:  61%|██████    | 111/182 [02:16<01:27,  1.23s/it]
Epoch 27, training loss 0.143:  62%|██████▏   | 112/182 [02:16<01:25,  1.22s/it]
Epoch 27, training loss 0.143:  62%|██████▏   | 112/182 [02:17<01:25,  1.22s/it]
Epoch 27, training loss 0.143:  62%|██████▏   | 113/182 [02:17<01:24,  1.22s/it]
Epoch 27, training loss 0.144:  62%|██████▏   | 113/182 [02:18<01:24,  1.22s/it]
Epoch 27, training loss 0.144:  63%|██████▎   | 114/182 [02:18<01:22,  1.22s/it]
Epoch 27, training loss 0.145:  63%|██████▎   | 114/182 [02:19<01:23,  1.22s/it]
Epoch 27, training loss 0.145:  63%|██████▎   | 115/182 [02:19<01:21,  1.22s/it]
Epoch 27, training loss 0.145:  63%|██████▎   | 115/182 [02:20<01:21,  1.22s/it]
Epoch 27, training loss 0.145:  64%|██████▎   | 116/182 [02:21<01:20,  1.22s/it]
Epoch 27, training loss 0.145:  64%|██████▎   | 116/182 [02:21<01:20,  1.22s/it]
Epoch 27, training loss 0.145:  64%|██████▍   | 117/182 [02:22<01:19,  1.22s/it]
Epoch 27, training loss 0.144:  64%|██████▍   | 117/182 [02:22<01:19,  1.22s/it]
Epoch 27, training loss 0.144:  65%|██████▍   | 118/182 [02:23<01:17,  1.22s/it]
Epoch 27, training loss 0.144:  65%|██████▍   | 118/182 [02:24<01:18,  1.22s/it]
Epoch 27, training loss 0.144:  65%|██████▌   | 119/182 [02:24<01:16,  1.22s/it]
Epoch 27, training loss 0.142:  65%|██████▌   | 119/182 [02:25<01:16,  1.22s/it]
Epoch 27, training loss 0.142:  66%|██████▌   | 120/182 [02:25<01:15,  1.22s/it]
Epoch 27, training loss 0.142:  66%|██████▌   | 120/182 [02:26<01:15,  1.22s/it]
Epoch 27, training loss 0.142:  66%|██████▋   | 121/182 [02:27<01:14,  1.22s/it]
Epoch 27, training loss 0.142:  66%|██████▋   | 121/182 [02:27<01:14,  1.22s/it]
Epoch 27, training loss 0.142:  67%|██████▋   | 122/182 [02:28<01:12,  1.21s/it]
Epoch 27, training loss 0.142:  67%|██████▋   | 122/182 [02:28<01:13,  1.22s/it]
Epoch 27, training loss 0.142:  68%|██████▊   | 123/182 [02:29<01:11,  1.21s/it]
Epoch 27, training loss 0.142:  68%|██████▊   | 123/182 [02:30<01:11,  1.22s/it]
Epoch 27, training loss 0.142:  68%|██████▊   | 124/182 [02:30<01:10,  1.21s/it]
Epoch 27, training loss 0.142:  68%|██████▊   | 124/182 [02:31<01:10,  1.22s/it]
Epoch 27, training loss 0.142:  69%|██████▊   | 125/182 [02:31<01:09,  1.21s/it]
Epoch 27, training loss 0.141:  69%|██████▊   | 125/182 [02:32<01:09,  1.22s/it]
Epoch 27, training loss 0.141:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 27, training loss 0.141:  69%|██████▉   | 126/182 [02:33<01:08,  1.22s/it]
Epoch 27, training loss 0.141:  70%|██████▉   | 127/182 [02:34<01:06,  1.21s/it]
Epoch 27, training loss 0.141:  70%|██████▉   | 127/182 [02:34<01:07,  1.22s/it]
Epoch 27, training loss 0.141:  70%|███████   | 128/182 [02:35<01:05,  1.21s/it]
Epoch 27, training loss 0.141:  70%|███████   | 128/182 [02:35<01:05,  1.22s/it]
Epoch 27, training loss 0.141:  71%|███████   | 129/182 [02:36<01:04,  1.21s/it]
Epoch 27, training loss 0.140:  71%|███████   | 129/182 [02:37<01:04,  1.22s/it]
Epoch 27, training loss 0.140:  71%|███████▏  | 130/182 [02:37<01:03,  1.21s/it]
Epoch 27, training loss 0.140:  71%|███████▏  | 130/182 [02:38<01:03,  1.22s/it]
Epoch 27, training loss 0.140:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 27, training loss 0.140:  72%|███████▏  | 131/182 [02:39<01:02,  1.22s/it]
Epoch 27, training loss 0.140:  73%|███████▎  | 132/182 [02:40<01:00,  1.21s/it]
Epoch 27, training loss 0.139:  73%|███████▎  | 132/182 [02:40<01:00,  1.22s/it]
Epoch 27, training loss 0.139:  73%|███████▎  | 133/182 [02:41<00:59,  1.21s/it]
Epoch 27, training loss 0.139:  73%|███████▎  | 133/182 [02:41<00:59,  1.22s/it]
Epoch 27, training loss 0.139:  74%|███████▎  | 134/182 [02:42<00:58,  1.21s/it]
Epoch 27, training loss 0.139:  74%|███████▎  | 134/182 [02:43<00:58,  1.22s/it]
Epoch 27, training loss 0.139:  74%|███████▍  | 135/182 [02:43<00:56,  1.21s/it]
Epoch 27, training loss 0.138:  74%|███████▍  | 135/182 [02:44<00:57,  1.22s/it]
Epoch 27, training loss 0.138:  75%|███████▍  | 136/182 [02:44<00:55,  1.21s/it]
Epoch 27, training loss 0.137:  75%|███████▍  | 136/182 [02:45<00:56,  1.22s/it]
Epoch 27, training loss 0.137:  75%|███████▌  | 137/182 [02:46<00:54,  1.21s/it]
Epoch 27, training loss 0.138:  75%|███████▌  | 137/182 [02:46<00:54,  1.22s/it]
Epoch 27, training loss 0.138:  76%|███████▌  | 138/182 [02:47<00:53,  1.21s/it]
Epoch 27, training loss 0.141:  76%|███████▌  | 138/182 [02:47<00:53,  1.22s/it]
Epoch 27, training loss 0.141:  76%|███████▋  | 139/182 [02:48<00:52,  1.21s/it]
Epoch 27, training loss 0.141:  76%|███████▋  | 139/182 [02:49<00:52,  1.22s/it]
Epoch 27, training loss 0.141:  77%|███████▋  | 140/182 [02:49<00:50,  1.21s/it]
Epoch 27, training loss 0.143:  77%|███████▋  | 140/182 [02:50<00:51,  1.22s/it]
Epoch 27, training loss 0.143:  77%|███████▋  | 141/182 [02:50<00:49,  1.21s/it]
Epoch 27, training loss 0.142:  77%|███████▋  | 141/182 [02:51<00:49,  1.22s/it]
Epoch 27, training loss 0.142:  78%|███████▊  | 142/182 [02:51<00:48,  1.21s/it]
Epoch 27, training loss 0.142:  78%|███████▊  | 142/182 [02:52<00:48,  1.21s/it]
Epoch 27, training loss 0.142:  79%|███████▊  | 143/182 [02:53<00:47,  1.21s/it]
Epoch 27, training loss 0.142:  79%|███████▊  | 143/182 [02:53<00:47,  1.21s/it]
Epoch 27, training loss 0.142:  79%|███████▉  | 144/182 [02:54<00:45,  1.21s/it]
Epoch 27, training loss 0.141:  79%|███████▉  | 144/182 [02:54<00:46,  1.21s/it]
Epoch 27, training loss 0.141:  80%|███████▉  | 145/182 [02:55<00:44,  1.21s/it]
Epoch 27, training loss 0.141:  80%|███████▉  | 145/182 [02:55<00:44,  1.21s/it]
Epoch 27, training loss 0.141:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 27, training loss 0.141:  80%|████████  | 146/182 [02:57<00:43,  1.21s/it]
Epoch 27, training loss 0.141:  81%|████████  | 147/182 [02:57<00:42,  1.21s/it]
Epoch 27, training loss 0.140:  81%|████████  | 147/182 [02:58<00:42,  1.21s/it]
Epoch 27, training loss 0.140:  81%|████████▏ | 148/182 [02:58<00:41,  1.21s/it]
Epoch 27, training loss 0.139:  81%|████████▏ | 148/182 [02:59<00:41,  1.21s/it]
Epoch 27, training loss 0.139:  82%|████████▏ | 149/182 [02:59<00:39,  1.21s/it]
Epoch 27, training loss 0.139:  82%|████████▏ | 149/182 [03:00<00:39,  1.21s/it]
Epoch 27, training loss 0.139:  82%|████████▏ | 150/182 [03:01<00:38,  1.21s/it]
Epoch 27, training loss 0.138:  82%|████████▏ | 150/182 [03:01<00:38,  1.21s/it]
Epoch 27, training loss 0.138:  83%|████████▎ | 151/182 [03:02<00:37,  1.21s/it]
Epoch 27, training loss 0.138:  83%|████████▎ | 151/182 [03:02<00:37,  1.21s/it]
Epoch 27, training loss 0.138:  84%|████████▎ | 152/182 [03:03<00:36,  1.21s/it]
Epoch 27, training loss 0.138:  84%|████████▎ | 152/182 [03:03<00:36,  1.21s/it]
Epoch 27, training loss 0.138:  84%|████████▍ | 153/182 [03:04<00:34,  1.21s/it]
Epoch 27, training loss 0.138:  84%|████████▍ | 153/182 [03:05<00:35,  1.21s/it]
Epoch 27, training loss 0.138:  85%|████████▍ | 154/182 [03:05<00:33,  1.21s/it]
Epoch 27, training loss 0.137:  85%|████████▍ | 154/182 [03:06<00:33,  1.21s/it]
Epoch 27, training loss 0.137:  85%|████████▌ | 155/182 [03:06<00:32,  1.20s/it]
Epoch 27, training loss 0.137:  85%|████████▌ | 155/182 [03:07<00:32,  1.21s/it]
Epoch 27, training loss 0.137:  86%|████████▌ | 156/182 [03:08<00:31,  1.21s/it]
Epoch 27, training loss 0.137:  86%|████████▌ | 156/182 [03:08<00:31,  1.21s/it]
Epoch 27, training loss 0.137:  86%|████████▋ | 157/182 [03:09<00:30,  1.20s/it]
Epoch 27, training loss 0.137:  86%|████████▋ | 157/182 [03:09<00:30,  1.21s/it]
Epoch 27, training loss 0.137:  87%|████████▋ | 158/182 [03:10<00:28,  1.20s/it]
Epoch 27, training loss 0.136:  87%|████████▋ | 158/182 [03:10<00:29,  1.21s/it]
Epoch 27, training loss 0.136:  87%|████████▋ | 159/182 [03:11<00:27,  1.20s/it]
Epoch 27, training loss 0.136:  87%|████████▋ | 159/182 [03:12<00:27,  1.21s/it]
Epoch 27, training loss 0.136:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 27, training loss 0.135:  88%|████████▊ | 160/182 [03:13<00:26,  1.21s/it]
Epoch 27, training loss 0.135:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 27, training loss 0.136:  88%|████████▊ | 161/182 [03:14<00:25,  1.21s/it]
Epoch 27, training loss 0.136:  89%|████████▉ | 162/182 [03:14<00:24,  1.20s/it]
Epoch 27, training loss 0.135:  89%|████████▉ | 162/182 [03:15<00:24,  1.21s/it]
Epoch 27, training loss 0.135:  90%|████████▉ | 163/182 [03:16<00:22,  1.20s/it]
Epoch 27, training loss 0.136:  90%|████████▉ | 163/182 [03:16<00:22,  1.21s/it]
Epoch 27, training loss 0.136:  90%|█████████ | 164/182 [03:17<00:21,  1.20s/it]
Epoch 27, training loss 0.135:  90%|█████████ | 164/182 [03:18<00:21,  1.21s/it]
Epoch 27, training loss 0.135:  91%|█████████ | 165/182 [03:18<00:20,  1.20s/it]
Epoch 27, training loss 0.135:  91%|█████████ | 165/182 [03:19<00:20,  1.21s/it]
Epoch 27, training loss 0.135:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 27, training loss 0.134:  91%|█████████ | 166/182 [03:20<00:19,  1.21s/it]
Epoch 27, training loss 0.134:  92%|█████████▏| 167/182 [03:20<00:18,  1.20s/it]
Epoch 27, training loss 0.134:  92%|█████████▏| 167/182 [03:21<00:18,  1.21s/it]
Epoch 27, training loss 0.134:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 27, training loss 0.134:  92%|█████████▏| 168/182 [03:22<00:16,  1.21s/it]
Epoch 27, training loss 0.134:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 27, training loss 0.134:  93%|█████████▎| 169/182 [03:23<00:15,  1.20s/it]
Epoch 27, training loss 0.134:  93%|█████████▎| 170/182 [03:24<00:14,  1.20s/it]
Epoch 27, training loss 0.134:  93%|█████████▎| 170/182 [03:24<00:14,  1.20s/it]
Epoch 27, training loss 0.134:  94%|█████████▍| 171/182 [03:25<00:13,  1.20s/it]
Epoch 27, training loss 0.134:  94%|█████████▍| 171/182 [03:25<00:13,  1.20s/it]
Epoch 27, training loss 0.134:  95%|█████████▍| 172/182 [03:26<00:11,  1.20s/it]
Epoch 27, training loss 0.133:  95%|█████████▍| 172/182 [03:27<00:12,  1.20s/it]
Epoch 27, training loss 0.133:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 27, training loss 0.135:  95%|█████████▌| 173/182 [03:28<00:10,  1.20s/it]
Epoch 27, training loss 0.135:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 27, training loss 0.135:  96%|█████████▌| 174/182 [03:29<00:09,  1.20s/it]
Epoch 27, training loss 0.135:  96%|█████████▌| 175/182 [03:29<00:08,  1.20s/it]
Epoch 27, training loss 0.135:  96%|█████████▌| 175/182 [03:30<00:08,  1.20s/it]
Epoch 27, training loss 0.135:  97%|█████████▋| 176/182 [03:31<00:07,  1.20s/it]
Epoch 27, training loss 0.134:  97%|█████████▋| 176/182 [03:31<00:07,  1.20s/it]
Epoch 27, training loss 0.134:  97%|█████████▋| 177/182 [03:32<00:05,  1.20s/it]
Epoch 27, training loss 0.134:  97%|█████████▋| 177/182 [03:32<00:06,  1.20s/it]
Epoch 27, training loss 0.134:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 27, training loss 0.133:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 27, training loss 0.133:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 27, training loss 0.133:  98%|█████████▊| 179/182 [03:35<00:03,  1.20s/it]
Epoch 27, training loss 0.133:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 27, training loss 0.133:  99%|█████████▉| 180/182 [03:36<00:02,  1.20s/it]
Epoch 27, training loss 0.133:  99%|█████████▉| 181/182 [03:36<00:01,  1.20s/it]
Epoch 27, training loss 0.133:  99%|█████████▉| 181/182 [03:37<00:01,  1.20s/it]
Epoch 27, training loss 0.133: 100%|██████████| 182/182 [03:38<00:00,  1.20s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.574:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.574:   1%|          | 1/90 [00:04<06:34,  4.43s/it]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.727:   1%|          | 1/90 [00:04<07:17,  4.92s/it]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.727:   2%|▏         | 2/90 [00:04<03:36,  2.46s/it]
Epoch 27, validation pixAcc: 0.978, mIoU: 0.793:   2%|▏         | 2/90 [00:05<03:53,  2.66s/it]
Epoch 27, validation pixAcc: 0.978, mIoU: 0.793:   3%|▎         | 3/90 [00:05<02:34,  1.77s/it]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.843:   3%|▎         | 3/90 [00:05<02:46,  1.91s/it]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.843:   4%|▍         | 4/90 [00:05<02:03,  1.44s/it]
Epoch 27, validation pixAcc: 0.978, mIoU: 0.896:   4%|▍         | 4/90 [00:06<02:13,  1.55s/it]
Epoch 27, validation pixAcc: 0.978, mIoU: 0.896:   6%|▌         | 5/90 [00:06<01:45,  1.24s/it]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.901:   6%|▌         | 5/90 [00:06<01:52,  1.32s/it]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.901:   7%|▋         | 6/90 [00:06<01:32,  1.10s/it]
Epoch 27, validation pixAcc: 0.978, mIoU: 0.892:   7%|▋         | 6/90 [00:07<01:38,  1.18s/it]
Epoch 27, validation pixAcc: 0.978, mIoU: 0.892:   8%|▊         | 7/90 [00:07<01:23,  1.01s/it]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.894:   8%|▊         | 7/90 [00:07<01:29,  1.07s/it]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.894:   9%|▉         | 8/90 [00:07<01:17,  1.06it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.895:   9%|▉         | 8/90 [00:07<01:21,  1.00it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.895:  10%|█         | 9/90 [00:07<01:11,  1.13it/s]
Epoch 27, validation pixAcc: 0.978, mIoU: 0.904:  10%|█         | 9/90 [00:08<01:15,  1.07it/s]
Epoch 27, validation pixAcc: 0.978, mIoU: 0.904:  11%|█         | 10/90 [00:08<01:07,  1.19it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.904:  11%|█         | 10/90 [00:08<01:11,  1.13it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.904:  12%|█▏        | 11/90 [00:08<01:03,  1.24it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.900:  12%|█▏        | 11/90 [00:09<01:06,  1.18it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.900:  13%|█▎        | 12/90 [00:09<01:00,  1.29it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.904:  13%|█▎        | 12/90 [00:09<01:03,  1.23it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.904:  14%|█▍        | 13/90 [00:09<00:57,  1.33it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.911:  14%|█▍        | 13/90 [00:10<01:00,  1.27it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.911:  16%|█▌        | 14/90 [00:10<00:55,  1.37it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.911:  16%|█▌        | 14/90 [00:10<00:57,  1.31it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.911:  17%|█▋        | 15/90 [00:10<00:53,  1.41it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.916:  17%|█▋        | 15/90 [00:11<00:55,  1.35it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.916:  18%|█▊        | 16/90 [00:11<00:51,  1.44it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.914:  18%|█▊        | 16/90 [00:11<00:53,  1.39it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.914:  19%|█▉        | 17/90 [00:11<00:49,  1.47it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.910:  19%|█▉        | 17/90 [00:11<00:51,  1.42it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.910:  20%|██        | 18/90 [00:11<00:47,  1.50it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.906:  20%|██        | 18/90 [00:12<00:49,  1.45it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.906:  21%|██        | 19/90 [00:12<00:46,  1.53it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.904:  21%|██        | 19/90 [00:12<00:48,  1.48it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.904:  22%|██▏       | 20/90 [00:12<00:45,  1.55it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.902:  22%|██▏       | 20/90 [00:13<00:46,  1.50it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.902:  23%|██▎       | 21/90 [00:13<00:43,  1.58it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.903:  23%|██▎       | 21/90 [00:13<00:45,  1.53it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.903:  24%|██▍       | 22/90 [00:13<00:42,  1.60it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.905:  24%|██▍       | 22/90 [00:14<00:43,  1.56it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.905:  26%|██▌       | 23/90 [00:14<00:41,  1.63it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.903:  26%|██▌       | 23/90 [00:14<00:42,  1.58it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.903:  27%|██▋       | 24/90 [00:14<00:40,  1.65it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.905:  27%|██▋       | 24/90 [00:15<00:41,  1.59it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.905:  28%|██▊       | 25/90 [00:15<00:39,  1.66it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.905:  28%|██▊       | 25/90 [00:15<00:40,  1.61it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.905:  29%|██▉       | 26/90 [00:15<00:38,  1.68it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.908:  29%|██▉       | 26/90 [00:15<00:39,  1.63it/s]
Epoch 27, validation pixAcc: 0.977, mIoU: 0.908:  30%|███       | 27/90 [00:15<00:37,  1.70it/s]
Epoch 27, validation pixAcc: 0.978, mIoU: 0.909:  30%|███       | 27/90 [00:16<00:38,  1.65it/s]
Epoch 27, validation pixAcc: 0.978, mIoU: 0.909:  31%|███       | 28/90 [00:16<00:36,  1.71it/s]
Epoch 27, validation pixAcc: 0.978, mIoU: 0.909:  31%|███       | 28/90 [00:16<00:37,  1.66it/s]
Epoch 27, validation pixAcc: 0.978, mIoU: 0.909:  32%|███▏      | 29/90 [00:16<00:35,  1.72it/s]
Epoch 27, validation pixAcc: 0.978, mIoU: 0.910:  32%|███▏      | 29/90 [00:17<00:36,  1.68it/s]
Epoch 27, validation pixAcc: 0.978, mIoU: 0.910:  33%|███▎      | 30/90 [00:17<00:34,  1.74it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.912:  33%|███▎      | 30/90 [00:17<00:35,  1.69it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.912:  34%|███▍      | 31/90 [00:17<00:33,  1.75it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.912:  34%|███▍      | 31/90 [00:18<00:34,  1.70it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.912:  36%|███▌      | 32/90 [00:18<00:32,  1.76it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.913:  36%|███▌      | 32/90 [00:18<00:33,  1.72it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.913:  37%|███▋      | 33/90 [00:18<00:32,  1.77it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.915:  37%|███▋      | 33/90 [00:19<00:32,  1.73it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.915:  38%|███▊      | 34/90 [00:19<00:31,  1.78it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.914:  38%|███▊      | 34/90 [00:19<00:32,  1.74it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.914:  39%|███▉      | 35/90 [00:19<00:30,  1.79it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.914:  39%|███▉      | 35/90 [00:19<00:31,  1.76it/s]
Epoch 27, validation pixAcc: 0.979, mIoU: 0.914:  40%|████      | 36/90 [00:19<00:29,  1.81it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.915:  40%|████      | 36/90 [00:20<00:30,  1.77it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.915:  41%|████      | 37/90 [00:20<00:29,  1.82it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.915:  41%|████      | 37/90 [00:20<00:29,  1.78it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.915:  42%|████▏     | 38/90 [00:20<00:28,  1.83it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.915:  42%|████▏     | 38/90 [00:21<00:29,  1.79it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.915:  43%|████▎     | 39/90 [00:21<00:27,  1.84it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.917:  43%|████▎     | 39/90 [00:21<00:28,  1.80it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.917:  44%|████▍     | 40/90 [00:21<00:27,  1.85it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.916:  44%|████▍     | 40/90 [00:22<00:27,  1.81it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.916:  46%|████▌     | 41/90 [00:22<00:26,  1.86it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.916:  46%|████▌     | 41/90 [00:22<00:26,  1.83it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.916:  47%|████▋     | 42/90 [00:22<00:25,  1.87it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.917:  47%|████▋     | 42/90 [00:22<00:26,  1.84it/s]
Epoch 27, validation pixAcc: 0.980, mIoU: 0.917:  48%|████▊     | 43/90 [00:22<00:24,  1.89it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.917:  48%|████▊     | 43/90 [00:23<00:25,  1.85it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.917:  49%|████▉     | 44/90 [00:23<00:24,  1.90it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  49%|████▉     | 44/90 [00:23<00:24,  1.86it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  50%|█████     | 45/90 [00:23<00:23,  1.90it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  50%|█████     | 45/90 [00:24<00:24,  1.87it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  51%|█████     | 46/90 [00:24<00:23,  1.91it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  51%|█████     | 46/90 [00:24<00:23,  1.88it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  52%|█████▏    | 47/90 [00:24<00:22,  1.92it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  52%|█████▏    | 47/90 [00:24<00:22,  1.89it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  53%|█████▎    | 48/90 [00:24<00:21,  1.93it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.917:  53%|█████▎    | 48/90 [00:25<00:22,  1.89it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.917:  54%|█████▍    | 49/90 [00:25<00:21,  1.93it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  54%|█████▍    | 49/90 [00:25<00:21,  1.90it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  56%|█████▌    | 50/90 [00:25<00:20,  1.94it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  56%|█████▌    | 50/90 [00:26<00:20,  1.91it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  57%|█████▋    | 51/90 [00:26<00:20,  1.95it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.919:  57%|█████▋    | 51/90 [00:26<00:20,  1.92it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.919:  58%|█████▊    | 52/90 [00:26<00:19,  1.95it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  58%|█████▊    | 52/90 [00:26<00:19,  1.93it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  59%|█████▉    | 53/90 [00:26<00:18,  1.96it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  59%|█████▉    | 53/90 [00:27<00:19,  1.93it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  60%|██████    | 54/90 [00:27<00:18,  1.97it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  60%|██████    | 54/90 [00:27<00:18,  1.94it/s]
Epoch 27, validation pixAcc: 0.981, mIoU: 0.918:  61%|██████    | 55/90 [00:27<00:17,  1.97it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.919:  61%|██████    | 55/90 [00:28<00:18,  1.94it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.919:  62%|██████▏   | 56/90 [00:28<00:17,  1.98it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.919:  62%|██████▏   | 56/90 [00:28<00:17,  1.95it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.919:  63%|██████▎   | 57/90 [00:28<00:16,  1.98it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.919:  63%|██████▎   | 57/90 [00:29<00:16,  1.95it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.919:  64%|██████▍   | 58/90 [00:29<00:16,  1.99it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.919:  64%|██████▍   | 58/90 [00:29<00:16,  1.96it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.919:  66%|██████▌   | 59/90 [00:29<00:15,  1.99it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.919:  66%|██████▌   | 59/90 [00:30<00:15,  1.96it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.919:  67%|██████▋   | 60/90 [00:30<00:15,  2.00it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.920:  67%|██████▋   | 60/90 [00:30<00:15,  1.97it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.920:  68%|██████▊   | 61/90 [00:30<00:14,  2.00it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.920:  68%|██████▊   | 61/90 [00:30<00:14,  1.97it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.920:  69%|██████▉   | 62/90 [00:30<00:13,  2.01it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.920:  69%|██████▉   | 62/90 [00:31<00:14,  1.98it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.920:  70%|███████   | 63/90 [00:31<00:13,  2.01it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.921:  70%|███████   | 63/90 [00:31<00:13,  1.98it/s]
Epoch 27, validation pixAcc: 0.982, mIoU: 0.921:  71%|███████   | 64/90 [00:31<00:12,  2.02it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.921:  71%|███████   | 64/90 [00:32<00:13,  1.99it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.921:  72%|███████▏  | 65/90 [00:32<00:12,  2.02it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.922:  72%|███████▏  | 65/90 [00:32<00:12,  2.00it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.922:  73%|███████▎  | 66/90 [00:32<00:11,  2.03it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.922:  73%|███████▎  | 66/90 [00:32<00:11,  2.00it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.922:  74%|███████▍  | 67/90 [00:32<00:11,  2.03it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.921:  74%|███████▍  | 67/90 [00:33<00:11,  2.01it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.921:  76%|███████▌  | 68/90 [00:33<00:10,  2.04it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.922:  76%|███████▌  | 68/90 [00:33<00:10,  2.01it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.922:  77%|███████▋  | 69/90 [00:33<00:10,  2.04it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.922:  77%|███████▋  | 69/90 [00:34<00:10,  2.01it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.922:  78%|███████▊  | 70/90 [00:34<00:09,  2.04it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.922:  78%|███████▊  | 70/90 [00:34<00:09,  2.01it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.922:  79%|███████▉  | 71/90 [00:34<00:09,  2.04it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.923:  79%|███████▉  | 71/90 [00:35<00:09,  2.02it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.923:  80%|████████  | 72/90 [00:35<00:08,  2.05it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.923:  80%|████████  | 72/90 [00:35<00:08,  2.02it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.923:  81%|████████  | 73/90 [00:35<00:08,  2.05it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.923:  81%|████████  | 73/90 [00:36<00:08,  2.03it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.923:  82%|████████▏ | 74/90 [00:36<00:07,  2.06it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.923:  82%|████████▏ | 74/90 [00:36<00:07,  2.03it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.923:  83%|████████▎ | 75/90 [00:36<00:07,  2.06it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.923:  83%|████████▎ | 75/90 [00:36<00:07,  2.03it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.923:  84%|████████▍ | 76/90 [00:36<00:06,  2.06it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.923:  84%|████████▍ | 76/90 [00:37<00:06,  2.04it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.923:  86%|████████▌ | 77/90 [00:37<00:06,  2.07it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.923:  86%|████████▌ | 77/90 [00:37<00:06,  2.04it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.923:  87%|████████▋ | 78/90 [00:37<00:05,  2.07it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.924:  87%|████████▋ | 78/90 [00:38<00:05,  2.05it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.924:  88%|████████▊ | 79/90 [00:38<00:05,  2.08it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.924:  88%|████████▊ | 79/90 [00:38<00:05,  2.05it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.924:  89%|████████▉ | 80/90 [00:38<00:04,  2.08it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.924:  89%|████████▉ | 80/90 [00:38<00:04,  2.06it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.924:  90%|█████████ | 81/90 [00:38<00:04,  2.08it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  90%|█████████ | 81/90 [00:39<00:04,  2.06it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  91%|█████████ | 82/90 [00:39<00:03,  2.09it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  91%|█████████ | 82/90 [00:39<00:03,  2.06it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  92%|█████████▏| 83/90 [00:39<00:03,  2.09it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  92%|█████████▏| 83/90 [00:40<00:03,  2.07it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  93%|█████████▎| 84/90 [00:40<00:02,  2.09it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  93%|█████████▎| 84/90 [00:40<00:02,  2.07it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  94%|█████████▍| 85/90 [00:40<00:02,  2.09it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  94%|█████████▍| 85/90 [00:41<00:02,  2.07it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  96%|█████████▌| 86/90 [00:41<00:01,  2.09it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  96%|█████████▌| 86/90 [00:41<00:01,  2.07it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  97%|█████████▋| 87/90 [00:41<00:01,  2.10it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  97%|█████████▋| 87/90 [00:41<00:01,  2.08it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  98%|█████████▊| 88/90 [00:41<00:00,  2.10it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  98%|█████████▊| 88/90 [00:42<00:00,  2.08it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  99%|█████████▉| 89/90 [00:42<00:00,  2.10it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925:  99%|█████████▉| 89/90 [00:42<00:00,  2.08it/s]
Epoch 27, validation pixAcc: 0.983, mIoU: 0.925: 100%|██████████| 90/90 [00:42<00:00,  2.10it/s]

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Epoch 28, training loss 0.080:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 28, training loss 0.080:   1%|          | 1/182 [00:05<16:11,  5.37s/it]
Epoch 28, training loss 0.055:   1%|          | 1/182 [00:06<18:24,  6.10s/it]
Epoch 28, training loss 0.055:   1%|          | 2/182 [00:06<09:52,  3.29s/it]
Epoch 28, training loss 0.063:   1%|          | 2/182 [00:07<10:57,  3.65s/it]
Epoch 28, training loss 0.063:   2%|▏         | 3/182 [00:07<07:46,  2.61s/it]
Epoch 28, training loss 0.061:   2%|▏         | 3/182 [00:08<08:25,  2.82s/it]
Epoch 28, training loss 0.061:   2%|▏         | 4/182 [00:08<06:39,  2.24s/it]
Epoch 28, training loss 0.066:   2%|▏         | 4/182 [00:09<07:12,  2.43s/it]
Epoch 28, training loss 0.066:   3%|▎         | 5/182 [00:10<06:02,  2.05s/it]
Epoch 28, training loss 0.058:   3%|▎         | 5/182 [00:10<06:24,  2.17s/it]
Epoch 28, training loss 0.058:   3%|▎         | 6/182 [00:11<05:34,  1.90s/it]
Epoch 28, training loss 0.060:   3%|▎         | 6/182 [00:12<05:53,  2.01s/it]
Epoch 28, training loss 0.060:   4%|▍         | 7/182 [00:12<05:14,  1.80s/it]
Epoch 28, training loss 0.060:   4%|▍         | 7/182 [00:13<05:31,  1.90s/it]
Epoch 28, training loss 0.060:   4%|▍         | 8/182 [00:13<04:59,  1.72s/it]
Epoch 28, training loss 0.066:   4%|▍         | 8/182 [00:14<05:15,  1.81s/it]
Epoch 28, training loss 0.066:   5%|▍         | 9/182 [00:15<04:48,  1.67s/it]
Epoch 28, training loss 0.070:   5%|▍         | 9/182 [00:15<05:02,  1.75s/it]
Epoch 28, training loss 0.070:   5%|▌         | 10/182 [00:16<04:39,  1.62s/it]
Epoch 28, training loss 0.068:   5%|▌         | 10/182 [00:16<04:50,  1.69s/it]
Epoch 28, training loss 0.068:   6%|▌         | 11/182 [00:17<04:30,  1.58s/it]
Epoch 28, training loss 0.079:   6%|▌         | 11/182 [00:18<04:40,  1.64s/it]
Epoch 28, training loss 0.079:   7%|▋         | 12/182 [00:18<04:22,  1.54s/it]
Epoch 28, training loss 0.076:   7%|▋         | 12/182 [00:19<04:31,  1.59s/it]
Epoch 28, training loss 0.076:   7%|▋         | 13/182 [00:19<04:15,  1.51s/it]
Epoch 28, training loss 0.080:   7%|▋         | 13/182 [00:20<04:23,  1.56s/it]
Epoch 28, training loss 0.080:   8%|▊         | 14/182 [00:20<04:09,  1.48s/it]
Epoch 28, training loss 0.080:   8%|▊         | 14/182 [00:21<04:16,  1.53s/it]
Epoch 28, training loss 0.080:   8%|▊         | 15/182 [00:21<04:03,  1.46s/it]
Epoch 28, training loss 0.081:   8%|▊         | 15/182 [00:22<04:12,  1.51s/it]
Epoch 28, training loss 0.081:   9%|▉         | 16/182 [00:23<04:00,  1.45s/it]
Epoch 28, training loss 0.080:   9%|▉         | 16/182 [00:23<04:06,  1.49s/it]
Epoch 28, training loss 0.080:   9%|▉         | 17/182 [00:24<03:55,  1.43s/it]
Epoch 28, training loss 0.087:   9%|▉         | 17/182 [00:24<04:02,  1.47s/it]
Epoch 28, training loss 0.087:  10%|▉         | 18/182 [00:25<03:52,  1.42s/it]
Epoch 28, training loss 0.089:  10%|▉         | 18/182 [00:26<03:58,  1.45s/it]
Epoch 28, training loss 0.089:  10%|█         | 19/182 [00:26<03:48,  1.40s/it]
Epoch 28, training loss 0.090:  10%|█         | 19/182 [00:27<03:54,  1.44s/it]
Epoch 28, training loss 0.090:  11%|█         | 20/182 [00:27<03:45,  1.39s/it]
Epoch 28, training loss 0.088:  11%|█         | 20/182 [00:28<03:50,  1.42s/it]
Epoch 28, training loss 0.088:  12%|█▏        | 21/182 [00:28<03:41,  1.38s/it]
Epoch 28, training loss 0.091:  12%|█▏        | 21/182 [00:29<03:46,  1.41s/it]
Epoch 28, training loss 0.091:  12%|█▏        | 22/182 [00:30<03:38,  1.37s/it]
Epoch 28, training loss 0.089:  12%|█▏        | 22/182 [00:30<03:44,  1.40s/it]
Epoch 28, training loss 0.089:  13%|█▎        | 23/182 [00:31<03:36,  1.36s/it]
Epoch 28, training loss 0.089:  13%|█▎        | 23/182 [00:32<03:41,  1.39s/it]
Epoch 28, training loss 0.089:  13%|█▎        | 24/182 [00:32<03:34,  1.36s/it]
Epoch 28, training loss 0.099:  13%|█▎        | 24/182 [00:33<03:39,  1.39s/it]
Epoch 28, training loss 0.099:  14%|█▎        | 25/182 [00:33<03:32,  1.35s/it]
Epoch 28, training loss 0.097:  14%|█▎        | 25/182 [00:34<03:36,  1.38s/it]
Epoch 28, training loss 0.097:  14%|█▍        | 26/182 [00:34<03:29,  1.35s/it]
Epoch 28, training loss 0.098:  14%|█▍        | 26/182 [00:35<03:34,  1.37s/it]
Epoch 28, training loss 0.098:  15%|█▍        | 27/182 [00:36<03:27,  1.34s/it]
Epoch 28, training loss 0.106:  15%|█▍        | 27/182 [00:36<03:32,  1.37s/it]
Epoch 28, training loss 0.106:  15%|█▌        | 28/182 [00:37<03:25,  1.34s/it]
Epoch 28, training loss 0.109:  15%|█▌        | 28/182 [00:38<03:30,  1.36s/it]
Epoch 28, training loss 0.109:  16%|█▌        | 29/182 [00:38<03:24,  1.34s/it]
Epoch 28, training loss 0.111:  16%|█▌        | 29/182 [00:39<03:27,  1.36s/it]
Epoch 28, training loss 0.111:  16%|█▋        | 30/182 [00:39<03:22,  1.33s/it]
Epoch 28, training loss 0.114:  16%|█▋        | 30/182 [00:40<03:25,  1.35s/it]
Epoch 28, training loss 0.114:  17%|█▋        | 31/182 [00:41<03:19,  1.32s/it]
Epoch 28, training loss 0.116:  17%|█▋        | 31/182 [00:41<03:23,  1.35s/it]
Epoch 28, training loss 0.116:  18%|█▊        | 32/182 [00:42<03:18,  1.32s/it]
Epoch 28, training loss 0.114:  18%|█▊        | 32/182 [00:42<03:20,  1.34s/it]
Epoch 28, training loss 0.114:  18%|█▊        | 33/182 [00:43<03:15,  1.31s/it]
Epoch 28, training loss 0.111:  18%|█▊        | 33/182 [00:44<03:18,  1.33s/it]
Epoch 28, training loss 0.111:  19%|█▊        | 34/182 [00:44<03:13,  1.31s/it]
Epoch 28, training loss 0.109:  19%|█▊        | 34/182 [00:45<03:17,  1.33s/it]
Epoch 28, training loss 0.109:  19%|█▉        | 35/182 [00:45<03:12,  1.31s/it]
Epoch 28, training loss 0.107:  19%|█▉        | 35/182 [00:46<03:15,  1.33s/it]
Epoch 28, training loss 0.107:  20%|█▉        | 36/182 [00:47<03:11,  1.31s/it]
Epoch 28, training loss 0.112:  20%|█▉        | 36/182 [00:47<03:14,  1.33s/it]
Epoch 28, training loss 0.112:  20%|██        | 37/182 [00:48<03:09,  1.31s/it]
Epoch 28, training loss 0.114:  20%|██        | 37/182 [00:49<03:12,  1.32s/it]
Epoch 28, training loss 0.114:  21%|██        | 38/182 [00:49<03:07,  1.30s/it]
Epoch 28, training loss 0.114:  21%|██        | 38/182 [00:50<03:10,  1.32s/it]
Epoch 28, training loss 0.114:  21%|██▏       | 39/182 [00:50<03:05,  1.30s/it]
Epoch 28, training loss 0.114:  21%|██▏       | 39/182 [00:51<03:08,  1.32s/it]
Epoch 28, training loss 0.114:  22%|██▏       | 40/182 [00:51<03:03,  1.29s/it]
Epoch 28, training loss 0.112:  22%|██▏       | 40/182 [00:52<03:06,  1.31s/it]
Epoch 28, training loss 0.112:  23%|██▎       | 41/182 [00:53<03:02,  1.29s/it]
Epoch 28, training loss 0.111:  23%|██▎       | 41/182 [00:53<03:05,  1.31s/it]
Epoch 28, training loss 0.111:  23%|██▎       | 42/182 [00:54<03:01,  1.29s/it]
Epoch 28, training loss 0.110:  23%|██▎       | 42/182 [00:55<03:03,  1.31s/it]
Epoch 28, training loss 0.110:  24%|██▎       | 43/182 [00:55<02:59,  1.29s/it]
Epoch 28, training loss 0.108:  24%|██▎       | 43/182 [00:56<03:01,  1.31s/it]
Epoch 28, training loss 0.108:  24%|██▍       | 44/182 [00:56<02:57,  1.29s/it]
Epoch 28, training loss 0.109:  24%|██▍       | 44/182 [00:57<02:59,  1.30s/it]
Epoch 28, training loss 0.109:  25%|██▍       | 45/182 [00:57<02:55,  1.28s/it]
Epoch 28, training loss 0.107:  25%|██▍       | 45/182 [00:58<02:58,  1.30s/it]
Epoch 28, training loss 0.107:  25%|██▌       | 46/182 [00:59<02:54,  1.28s/it]
Epoch 28, training loss 0.108:  25%|██▌       | 46/182 [00:59<02:56,  1.30s/it]
Epoch 28, training loss 0.108:  26%|██▌       | 47/182 [01:00<02:52,  1.28s/it]
Epoch 28, training loss 0.108:  26%|██▌       | 47/182 [01:00<02:54,  1.30s/it]
Epoch 28, training loss 0.108:  26%|██▋       | 48/182 [01:01<02:51,  1.28s/it]
Epoch 28, training loss 0.107:  26%|██▋       | 48/182 [01:02<02:53,  1.29s/it]
Epoch 28, training loss 0.107:  27%|██▋       | 49/182 [01:02<02:50,  1.28s/it]
Epoch 28, training loss 0.108:  27%|██▋       | 49/182 [01:03<02:51,  1.29s/it]
Epoch 28, training loss 0.108:  27%|██▋       | 50/182 [01:03<02:48,  1.28s/it]
Epoch 28, training loss 0.110:  27%|██▋       | 50/182 [01:04<02:50,  1.29s/it]
Epoch 28, training loss 0.110:  28%|██▊       | 51/182 [01:04<02:46,  1.27s/it]
Epoch 28, training loss 0.110:  28%|██▊       | 51/182 [01:05<02:48,  1.29s/it]
Epoch 28, training loss 0.110:  29%|██▊       | 52/182 [01:06<02:45,  1.27s/it]
Epoch 28, training loss 0.109:  29%|██▊       | 52/182 [01:06<02:47,  1.29s/it]
Epoch 28, training loss 0.109:  29%|██▉       | 53/182 [01:07<02:44,  1.27s/it]
Epoch 28, training loss 0.108:  29%|██▉       | 53/182 [01:08<02:45,  1.29s/it]
Epoch 28, training loss 0.108:  30%|██▉       | 54/182 [01:08<02:42,  1.27s/it]
Epoch 28, training loss 0.108:  30%|██▉       | 54/182 [01:09<02:44,  1.28s/it]
Epoch 28, training loss 0.108:  30%|███       | 55/182 [01:09<02:41,  1.27s/it]
Epoch 28, training loss 0.110:  30%|███       | 55/182 [01:10<02:42,  1.28s/it]
Epoch 28, training loss 0.110:  31%|███       | 56/182 [01:10<02:39,  1.27s/it]
Epoch 28, training loss 0.109:  31%|███       | 56/182 [01:11<02:41,  1.28s/it]
Epoch 28, training loss 0.109:  31%|███▏      | 57/182 [01:12<02:38,  1.26s/it]
Epoch 28, training loss 0.109:  31%|███▏      | 57/182 [01:12<02:39,  1.28s/it]
Epoch 28, training loss 0.109:  32%|███▏      | 58/182 [01:13<02:36,  1.27s/it]
Epoch 28, training loss 0.109:  32%|███▏      | 58/182 [01:14<02:38,  1.28s/it]
Epoch 28, training loss 0.109:  32%|███▏      | 59/182 [01:14<02:35,  1.26s/it]
Epoch 28, training loss 0.111:  32%|███▏      | 59/182 [01:15<02:37,  1.28s/it]
Epoch 28, training loss 0.111:  33%|███▎      | 60/182 [01:15<02:34,  1.26s/it]
Epoch 28, training loss 0.114:  33%|███▎      | 60/182 [01:16<02:35,  1.27s/it]
Epoch 28, training loss 0.114:  34%|███▎      | 61/182 [01:16<02:32,  1.26s/it]
Epoch 28, training loss 0.114:  34%|███▎      | 61/182 [01:17<02:34,  1.27s/it]
Epoch 28, training loss 0.114:  34%|███▍      | 62/182 [01:18<02:31,  1.26s/it]
Epoch 28, training loss 0.112:  34%|███▍      | 62/182 [01:18<02:32,  1.27s/it]
Epoch 28, training loss 0.112:  35%|███▍      | 63/182 [01:19<02:29,  1.26s/it]
Epoch 28, training loss 0.113:  35%|███▍      | 63/182 [01:20<02:31,  1.27s/it]
Epoch 28, training loss 0.113:  35%|███▌      | 64/182 [01:20<02:28,  1.26s/it]
Epoch 28, training loss 0.115:  35%|███▌      | 64/182 [01:21<02:29,  1.27s/it]
Epoch 28, training loss 0.115:  36%|███▌      | 65/182 [01:21<02:27,  1.26s/it]
Epoch 28, training loss 0.116:  36%|███▌      | 65/182 [01:22<02:28,  1.27s/it]
Epoch 28, training loss 0.116:  36%|███▋      | 66/182 [01:22<02:25,  1.26s/it]
Epoch 28, training loss 0.116:  36%|███▋      | 66/182 [01:23<02:26,  1.27s/it]
Epoch 28, training loss 0.116:  37%|███▋      | 67/182 [01:24<02:24,  1.25s/it]
Epoch 28, training loss 0.115:  37%|███▋      | 67/182 [01:24<02:25,  1.26s/it]
Epoch 28, training loss 0.115:  37%|███▋      | 68/182 [01:25<02:22,  1.25s/it]
Epoch 28, training loss 0.115:  37%|███▋      | 68/182 [01:25<02:24,  1.26s/it]
Epoch 28, training loss 0.115:  38%|███▊      | 69/182 [01:26<02:21,  1.25s/it]
Epoch 28, training loss 0.116:  38%|███▊      | 69/182 [01:27<02:22,  1.26s/it]
Epoch 28, training loss 0.116:  38%|███▊      | 70/182 [01:27<02:20,  1.25s/it]
Epoch 28, training loss 0.115:  38%|███▊      | 70/182 [01:28<02:21,  1.26s/it]
Epoch 28, training loss 0.115:  39%|███▉      | 71/182 [01:28<02:19,  1.25s/it]
Epoch 28, training loss 0.114:  39%|███▉      | 71/182 [01:29<02:20,  1.26s/it]
Epoch 28, training loss 0.114:  40%|███▉      | 72/182 [01:30<02:17,  1.25s/it]
Epoch 28, training loss 0.113:  40%|███▉      | 72/182 [01:30<02:18,  1.26s/it]
Epoch 28, training loss 0.113:  40%|████      | 73/182 [01:31<02:16,  1.25s/it]
Epoch 28, training loss 0.114:  40%|████      | 73/182 [01:31<02:17,  1.26s/it]
Epoch 28, training loss 0.114:  41%|████      | 74/182 [01:32<02:14,  1.25s/it]
Epoch 28, training loss 0.114:  41%|████      | 74/182 [01:33<02:15,  1.26s/it]
Epoch 28, training loss 0.114:  41%|████      | 75/182 [01:33<02:13,  1.25s/it]
Epoch 28, training loss 0.113:  41%|████      | 75/182 [01:34<02:14,  1.26s/it]
Epoch 28, training loss 0.113:  42%|████▏     | 76/182 [01:34<02:12,  1.25s/it]
Epoch 28, training loss 0.113:  42%|████▏     | 76/182 [01:35<02:13,  1.26s/it]
Epoch 28, training loss 0.113:  42%|████▏     | 77/182 [01:35<02:10,  1.25s/it]
Epoch 28, training loss 0.112:  42%|████▏     | 77/182 [01:36<02:11,  1.25s/it]
Epoch 28, training loss 0.112:  43%|████▎     | 78/182 [01:37<02:09,  1.24s/it]
Epoch 28, training loss 0.112:  43%|████▎     | 78/182 [01:37<02:10,  1.25s/it]
Epoch 28, training loss 0.112:  43%|████▎     | 79/182 [01:38<02:07,  1.24s/it]
Epoch 28, training loss 0.111:  43%|████▎     | 79/182 [01:38<02:08,  1.25s/it]
Epoch 28, training loss 0.111:  44%|████▍     | 80/182 [01:39<02:06,  1.24s/it]
Epoch 28, training loss 0.111:  44%|████▍     | 80/182 [01:39<02:07,  1.25s/it]
Epoch 28, training loss 0.111:  45%|████▍     | 81/182 [01:40<02:05,  1.24s/it]
Epoch 28, training loss 0.110:  45%|████▍     | 81/182 [01:41<02:06,  1.25s/it]
Epoch 28, training loss 0.110:  45%|████▌     | 82/182 [01:41<02:03,  1.24s/it]
Epoch 28, training loss 0.109:  45%|████▌     | 82/182 [01:42<02:04,  1.25s/it]
Epoch 28, training loss 0.109:  46%|████▌     | 83/182 [01:42<02:02,  1.24s/it]
Epoch 28, training loss 0.109:  46%|████▌     | 83/182 [01:43<02:03,  1.25s/it]
Epoch 28, training loss 0.109:  46%|████▌     | 84/182 [01:44<02:01,  1.24s/it]
Epoch 28, training loss 0.108:  46%|████▌     | 84/182 [01:44<02:02,  1.25s/it]
Epoch 28, training loss 0.108:  47%|████▋     | 85/182 [01:45<02:00,  1.24s/it]
Epoch 28, training loss 0.108:  47%|████▋     | 85/182 [01:45<02:00,  1.25s/it]
Epoch 28, training loss 0.108:  47%|████▋     | 86/182 [01:46<01:58,  1.24s/it]
Epoch 28, training loss 0.109:  47%|████▋     | 86/182 [01:46<01:59,  1.24s/it]
Epoch 28, training loss 0.109:  48%|████▊     | 87/182 [01:47<01:57,  1.24s/it]
Epoch 28, training loss 0.110:  48%|████▊     | 87/182 [01:48<01:58,  1.24s/it]
Epoch 28, training loss 0.110:  48%|████▊     | 88/182 [01:48<01:56,  1.23s/it]
Epoch 28, training loss 0.109:  48%|████▊     | 88/182 [01:49<01:56,  1.24s/it]
Epoch 28, training loss 0.109:  49%|████▉     | 89/182 [01:49<01:54,  1.23s/it]
Epoch 28, training loss 0.109:  49%|████▉     | 89/182 [01:50<01:55,  1.24s/it]
Epoch 28, training loss 0.109:  49%|████▉     | 90/182 [01:50<01:53,  1.23s/it]
Epoch 28, training loss 0.108:  49%|████▉     | 90/182 [01:51<01:54,  1.24s/it]
Epoch 28, training loss 0.108:  50%|█████     | 91/182 [01:52<01:52,  1.23s/it]
Epoch 28, training loss 0.111:  50%|█████     | 91/182 [01:52<01:52,  1.24s/it]
Epoch 28, training loss 0.111:  51%|█████     | 92/182 [01:53<01:50,  1.23s/it]
Epoch 28, training loss 0.112:  51%|█████     | 92/182 [01:54<01:51,  1.24s/it]
Epoch 28, training loss 0.112:  51%|█████     | 93/182 [01:54<01:49,  1.23s/it]
Epoch 28, training loss 0.112:  51%|█████     | 93/182 [01:55<01:50,  1.24s/it]
Epoch 28, training loss 0.112:  52%|█████▏    | 94/182 [01:55<01:48,  1.23s/it]
Epoch 28, training loss 0.113:  52%|█████▏    | 94/182 [01:56<01:48,  1.24s/it]
Epoch 28, training loss 0.113:  52%|█████▏    | 95/182 [01:56<01:46,  1.23s/it]
Epoch 28, training loss 0.113:  52%|█████▏    | 95/182 [01:57<01:47,  1.24s/it]
Epoch 28, training loss 0.113:  53%|█████▎    | 96/182 [01:58<01:45,  1.23s/it]
Epoch 28, training loss 0.112:  53%|█████▎    | 96/182 [01:58<01:46,  1.24s/it]
Epoch 28, training loss 0.112:  53%|█████▎    | 97/182 [01:59<01:44,  1.23s/it]
Epoch 28, training loss 0.111:  53%|█████▎    | 97/182 [01:59<01:45,  1.24s/it]
Epoch 28, training loss 0.111:  54%|█████▍    | 98/182 [02:00<01:43,  1.23s/it]
Epoch 28, training loss 0.111:  54%|█████▍    | 98/182 [02:01<01:43,  1.24s/it]
Epoch 28, training loss 0.111:  54%|█████▍    | 99/182 [02:01<01:41,  1.23s/it]
Epoch 28, training loss 0.111:  54%|█████▍    | 99/182 [02:02<01:42,  1.24s/it]
Epoch 28, training loss 0.111:  55%|█████▍    | 100/182 [02:02<01:40,  1.23s/it]
Epoch 28, training loss 0.111:  55%|█████▍    | 100/182 [02:03<01:41,  1.23s/it]
Epoch 28, training loss 0.111:  55%|█████▌    | 101/182 [02:03<01:39,  1.23s/it]
Epoch 28, training loss 0.110:  55%|█████▌    | 101/182 [02:04<01:39,  1.23s/it]
Epoch 28, training loss 0.110:  56%|█████▌    | 102/182 [02:05<01:38,  1.23s/it]
Epoch 28, training loss 0.110:  56%|█████▌    | 102/182 [02:05<01:38,  1.23s/it]
Epoch 28, training loss 0.110:  57%|█████▋    | 103/182 [02:06<01:36,  1.23s/it]
Epoch 28, training loss 0.110:  57%|█████▋    | 103/182 [02:07<01:37,  1.23s/it]
Epoch 28, training loss 0.110:  57%|█████▋    | 104/182 [02:07<01:35,  1.23s/it]
Epoch 28, training loss 0.109:  57%|█████▋    | 104/182 [02:08<01:36,  1.23s/it]
Epoch 28, training loss 0.109:  58%|█████▊    | 105/182 [02:08<01:34,  1.23s/it]
Epoch 28, training loss 0.109:  58%|█████▊    | 105/182 [02:09<01:34,  1.23s/it]
Epoch 28, training loss 0.109:  58%|█████▊    | 106/182 [02:10<01:33,  1.23s/it]
Epoch 28, training loss 0.112:  58%|█████▊    | 106/182 [02:10<01:33,  1.23s/it]
Epoch 28, training loss 0.112:  59%|█████▉    | 107/182 [02:11<01:31,  1.23s/it]
Epoch 28, training loss 0.112:  59%|█████▉    | 107/182 [02:11<01:32,  1.23s/it]
Epoch 28, training loss 0.112:  59%|█████▉    | 108/182 [02:12<01:30,  1.23s/it]
Epoch 28, training loss 0.111:  59%|█████▉    | 108/182 [02:13<01:31,  1.23s/it]
Epoch 28, training loss 0.111:  60%|█████▉    | 109/182 [02:13<01:29,  1.23s/it]
Epoch 28, training loss 0.111:  60%|█████▉    | 109/182 [02:14<01:29,  1.23s/it]
Epoch 28, training loss 0.111:  60%|██████    | 110/182 [02:14<01:28,  1.22s/it]
Epoch 28, training loss 0.111:  60%|██████    | 110/182 [02:15<01:28,  1.23s/it]
Epoch 28, training loss 0.111:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 28, training loss 0.111:  61%|██████    | 111/182 [02:16<01:27,  1.23s/it]
Epoch 28, training loss 0.111:  62%|██████▏   | 112/182 [02:17<01:25,  1.22s/it]
Epoch 28, training loss 0.111:  62%|██████▏   | 112/182 [02:17<01:26,  1.23s/it]
Epoch 28, training loss 0.111:  62%|██████▏   | 113/182 [02:18<01:24,  1.22s/it]
Epoch 28, training loss 0.113:  62%|██████▏   | 113/182 [02:18<01:24,  1.23s/it]
Epoch 28, training loss 0.113:  63%|██████▎   | 114/182 [02:19<01:23,  1.22s/it]
Epoch 28, training loss 0.112:  63%|██████▎   | 114/182 [02:19<01:23,  1.23s/it]
Epoch 28, training loss 0.112:  63%|██████▎   | 115/182 [02:20<01:21,  1.22s/it]
Epoch 28, training loss 0.111:  63%|██████▎   | 115/182 [02:21<01:22,  1.23s/it]
Epoch 28, training loss 0.111:  64%|██████▎   | 116/182 [02:21<01:20,  1.22s/it]
Epoch 28, training loss 0.111:  64%|██████▎   | 116/182 [02:22<01:20,  1.23s/it]
Epoch 28, training loss 0.111:  64%|██████▍   | 117/182 [02:22<01:19,  1.22s/it]
Epoch 28, training loss 0.111:  64%|██████▍   | 117/182 [02:23<01:19,  1.23s/it]
Epoch 28, training loss 0.111:  65%|██████▍   | 118/182 [02:23<01:18,  1.22s/it]
Epoch 28, training loss 0.111:  65%|██████▍   | 118/182 [02:24<01:18,  1.23s/it]
Epoch 28, training loss 0.111:  65%|██████▌   | 119/182 [02:25<01:16,  1.22s/it]
Epoch 28, training loss 0.112:  65%|██████▌   | 119/182 [02:25<01:17,  1.23s/it]
Epoch 28, training loss 0.112:  66%|██████▌   | 120/182 [02:26<01:15,  1.22s/it]
Epoch 28, training loss 0.111:  66%|██████▌   | 120/182 [02:27<01:15,  1.23s/it]
Epoch 28, training loss 0.111:  66%|██████▋   | 121/182 [02:27<01:14,  1.22s/it]
Epoch 28, training loss 0.111:  66%|██████▋   | 121/182 [02:28<01:14,  1.23s/it]
Epoch 28, training loss 0.111:  67%|██████▋   | 122/182 [02:28<01:13,  1.22s/it]
Epoch 28, training loss 0.112:  67%|██████▋   | 122/182 [02:29<01:13,  1.22s/it]
Epoch 28, training loss 0.112:  68%|██████▊   | 123/182 [02:29<01:11,  1.22s/it]
Epoch 28, training loss 0.111:  68%|██████▊   | 123/182 [02:30<01:12,  1.23s/it]
Epoch 28, training loss 0.111:  68%|██████▊   | 124/182 [02:31<01:10,  1.22s/it]
Epoch 28, training loss 0.112:  68%|██████▊   | 124/182 [02:31<01:11,  1.23s/it]
Epoch 28, training loss 0.112:  69%|██████▊   | 125/182 [02:32<01:09,  1.22s/it]
Epoch 28, training loss 0.111:  69%|██████▊   | 125/182 [02:33<01:09,  1.22s/it]
Epoch 28, training loss 0.111:  69%|██████▉   | 126/182 [02:33<01:08,  1.22s/it]
Epoch 28, training loss 0.111:  69%|██████▉   | 126/182 [02:34<01:08,  1.22s/it]
Epoch 28, training loss 0.111:  70%|██████▉   | 127/182 [02:34<01:06,  1.22s/it]
Epoch 28, training loss 0.110:  70%|██████▉   | 127/182 [02:35<01:07,  1.22s/it]
Epoch 28, training loss 0.110:  70%|███████   | 128/182 [02:35<01:05,  1.22s/it]
Epoch 28, training loss 0.110:  70%|███████   | 128/182 [02:36<01:05,  1.22s/it]
Epoch 28, training loss 0.110:  71%|███████   | 129/182 [02:36<01:04,  1.22s/it]
Epoch 28, training loss 0.110:  71%|███████   | 129/182 [02:37<01:04,  1.22s/it]
Epoch 28, training loss 0.110:  71%|███████▏  | 130/182 [02:37<01:03,  1.21s/it]
Epoch 28, training loss 0.111:  71%|███████▏  | 130/182 [02:38<01:03,  1.22s/it]
Epoch 28, training loss 0.111:  72%|███████▏  | 131/182 [02:39<01:01,  1.21s/it]
Epoch 28, training loss 0.110:  72%|███████▏  | 131/182 [02:39<01:02,  1.22s/it]
Epoch 28, training loss 0.110:  73%|███████▎  | 132/182 [02:40<01:00,  1.21s/it]
Epoch 28, training loss 0.110:  73%|███████▎  | 132/182 [02:40<01:00,  1.22s/it]
Epoch 28, training loss 0.110:  73%|███████▎  | 133/182 [02:41<00:59,  1.21s/it]
Epoch 28, training loss 0.110:  73%|███████▎  | 133/182 [02:42<00:59,  1.22s/it]
Epoch 28, training loss 0.110:  74%|███████▎  | 134/182 [02:42<00:58,  1.21s/it]
Epoch 28, training loss 0.110:  74%|███████▎  | 134/182 [02:43<00:58,  1.22s/it]
Epoch 28, training loss 0.110:  74%|███████▍  | 135/182 [02:43<00:56,  1.21s/it]
Epoch 28, training loss 0.111:  74%|███████▍  | 135/182 [02:44<00:57,  1.22s/it]
Epoch 28, training loss 0.111:  75%|███████▍  | 136/182 [02:44<00:55,  1.21s/it]
Epoch 28, training loss 0.111:  75%|███████▍  | 136/182 [02:45<00:55,  1.22s/it]
Epoch 28, training loss 0.111:  75%|███████▌  | 137/182 [02:46<00:54,  1.21s/it]
Epoch 28, training loss 0.110:  75%|███████▌  | 137/182 [02:46<00:54,  1.22s/it]
Epoch 28, training loss 0.110:  76%|███████▌  | 138/182 [02:47<00:53,  1.21s/it]
Epoch 28, training loss 0.111:  76%|███████▌  | 138/182 [02:47<00:53,  1.22s/it]
Epoch 28, training loss 0.111:  76%|███████▋  | 139/182 [02:48<00:52,  1.21s/it]
Epoch 28, training loss 0.111:  76%|███████▋  | 139/182 [02:49<00:52,  1.22s/it]
Epoch 28, training loss 0.111:  77%|███████▋  | 140/182 [02:49<00:50,  1.21s/it]
Epoch 28, training loss 0.111:  77%|███████▋  | 140/182 [02:50<00:51,  1.22s/it]
Epoch 28, training loss 0.111:  77%|███████▋  | 141/182 [02:50<00:49,  1.21s/it]
Epoch 28, training loss 0.110:  77%|███████▋  | 141/182 [02:51<00:49,  1.22s/it]
Epoch 28, training loss 0.110:  78%|███████▊  | 142/182 [02:51<00:48,  1.21s/it]
Epoch 28, training loss 0.110:  78%|███████▊  | 142/182 [02:52<00:48,  1.22s/it]
Epoch 28, training loss 0.110:  79%|███████▊  | 143/182 [02:53<00:47,  1.21s/it]
Epoch 28, training loss 0.110:  79%|███████▊  | 143/182 [02:53<00:47,  1.22s/it]
Epoch 28, training loss 0.110:  79%|███████▉  | 144/182 [02:54<00:45,  1.21s/it]
Epoch 28, training loss 0.110:  79%|███████▉  | 144/182 [02:55<00:46,  1.22s/it]
Epoch 28, training loss 0.110:  80%|███████▉  | 145/182 [02:55<00:44,  1.21s/it]
Epoch 28, training loss 0.110:  80%|███████▉  | 145/182 [02:56<00:44,  1.22s/it]
Epoch 28, training loss 0.110:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 28, training loss 0.110:  80%|████████  | 146/182 [02:57<00:43,  1.22s/it]
Epoch 28, training loss 0.110:  81%|████████  | 147/182 [02:57<00:42,  1.21s/it]
Epoch 28, training loss 0.110:  81%|████████  | 147/182 [02:58<00:42,  1.22s/it]
Epoch 28, training loss 0.110:  81%|████████▏ | 148/182 [02:59<00:41,  1.21s/it]
Epoch 28, training loss 0.110:  81%|████████▏ | 148/182 [02:59<00:41,  1.21s/it]
Epoch 28, training loss 0.110:  82%|████████▏ | 149/182 [03:00<00:39,  1.21s/it]
Epoch 28, training loss 0.111:  82%|████████▏ | 149/182 [03:00<00:40,  1.21s/it]
Epoch 28, training loss 0.111:  82%|████████▏ | 150/182 [03:01<00:38,  1.21s/it]
Epoch 28, training loss 0.110:  82%|████████▏ | 150/182 [03:02<00:38,  1.21s/it]
Epoch 28, training loss 0.110:  83%|████████▎ | 151/182 [03:02<00:37,  1.21s/it]
Epoch 28, training loss 0.110:  83%|████████▎ | 151/182 [03:03<00:37,  1.21s/it]
Epoch 28, training loss 0.110:  84%|████████▎ | 152/182 [03:03<00:36,  1.21s/it]
Epoch 28, training loss 0.110:  84%|████████▎ | 152/182 [03:04<00:36,  1.21s/it]
Epoch 28, training loss 0.110:  84%|████████▍ | 153/182 [03:05<00:35,  1.21s/it]
Epoch 28, training loss 0.110:  84%|████████▍ | 153/182 [03:05<00:35,  1.21s/it]
Epoch 28, training loss 0.110:  85%|████████▍ | 154/182 [03:06<00:33,  1.21s/it]
Epoch 28, training loss 0.110:  85%|████████▍ | 154/182 [03:06<00:33,  1.21s/it]
Epoch 28, training loss 0.110:  85%|████████▌ | 155/182 [03:07<00:32,  1.21s/it]
Epoch 28, training loss 0.109:  85%|████████▌ | 155/182 [03:08<00:32,  1.21s/it]
Epoch 28, training loss 0.109:  86%|████████▌ | 156/182 [03:08<00:31,  1.21s/it]
Epoch 28, training loss 0.109:  86%|████████▌ | 156/182 [03:09<00:31,  1.21s/it]
Epoch 28, training loss 0.109:  86%|████████▋ | 157/182 [03:09<00:30,  1.21s/it]
Epoch 28, training loss 0.109:  86%|████████▋ | 157/182 [03:10<00:30,  1.21s/it]
Epoch 28, training loss 0.109:  87%|████████▋ | 158/182 [03:10<00:29,  1.21s/it]
Epoch 28, training loss 0.109:  87%|████████▋ | 158/182 [03:11<00:29,  1.21s/it]
Epoch 28, training loss 0.109:  87%|████████▋ | 159/182 [03:12<00:27,  1.21s/it]
Epoch 28, training loss 0.108:  87%|████████▋ | 159/182 [03:12<00:27,  1.21s/it]
Epoch 28, training loss 0.108:  88%|████████▊ | 160/182 [03:13<00:26,  1.21s/it]
Epoch 28, training loss 0.108:  88%|████████▊ | 160/182 [03:13<00:26,  1.21s/it]
Epoch 28, training loss 0.108:  88%|████████▊ | 161/182 [03:14<00:25,  1.21s/it]
Epoch 28, training loss 0.108:  88%|████████▊ | 161/182 [03:15<00:25,  1.21s/it]
Epoch 28, training loss 0.108:  89%|████████▉ | 162/182 [03:15<00:24,  1.21s/it]
Epoch 28, training loss 0.108:  89%|████████▉ | 162/182 [03:16<00:24,  1.21s/it]
Epoch 28, training loss 0.108:  90%|████████▉ | 163/182 [03:16<00:22,  1.21s/it]
Epoch 28, training loss 0.107:  90%|████████▉ | 163/182 [03:17<00:23,  1.21s/it]
Epoch 28, training loss 0.107:  90%|█████████ | 164/182 [03:18<00:21,  1.21s/it]
Epoch 28, training loss 0.107:  90%|█████████ | 164/182 [03:18<00:21,  1.21s/it]
Epoch 28, training loss 0.107:  91%|█████████ | 165/182 [03:19<00:20,  1.21s/it]
Epoch 28, training loss 0.107:  91%|█████████ | 165/182 [03:19<00:20,  1.21s/it]
Epoch 28, training loss 0.107:  91%|█████████ | 166/182 [03:20<00:19,  1.21s/it]
Epoch 28, training loss 0.107:  91%|█████████ | 166/182 [03:21<00:19,  1.21s/it]
Epoch 28, training loss 0.107:  92%|█████████▏| 167/182 [03:21<00:18,  1.21s/it]
Epoch 28, training loss 0.107:  92%|█████████▏| 167/182 [03:22<00:18,  1.21s/it]
Epoch 28, training loss 0.107:  92%|█████████▏| 168/182 [03:22<00:16,  1.21s/it]
Epoch 28, training loss 0.108:  92%|█████████▏| 168/182 [03:23<00:16,  1.21s/it]
Epoch 28, training loss 0.108:  93%|█████████▎| 169/182 [03:23<00:15,  1.21s/it]
Epoch 28, training loss 0.111:  93%|█████████▎| 169/182 [03:24<00:15,  1.21s/it]
Epoch 28, training loss 0.111:  93%|█████████▎| 170/182 [03:25<00:14,  1.21s/it]
Epoch 28, training loss 0.110:  93%|█████████▎| 170/182 [03:25<00:14,  1.21s/it]
Epoch 28, training loss 0.110:  94%|█████████▍| 171/182 [03:26<00:13,  1.21s/it]
Epoch 28, training loss 0.110:  94%|█████████▍| 171/182 [03:27<00:13,  1.21s/it]
Epoch 28, training loss 0.110:  95%|█████████▍| 172/182 [03:27<00:12,  1.21s/it]
Epoch 28, training loss 0.111:  95%|█████████▍| 172/182 [03:28<00:12,  1.21s/it]
Epoch 28, training loss 0.111:  95%|█████████▌| 173/182 [03:28<00:10,  1.21s/it]
Epoch 28, training loss 0.111:  95%|█████████▌| 173/182 [03:29<00:10,  1.21s/it]
Epoch 28, training loss 0.111:  96%|█████████▌| 174/182 [03:30<00:09,  1.21s/it]
Epoch 28, training loss 0.111:  96%|█████████▌| 174/182 [03:30<00:09,  1.21s/it]
Epoch 28, training loss 0.111:  96%|█████████▌| 175/182 [03:31<00:08,  1.21s/it]
Epoch 28, training loss 0.111:  96%|█████████▌| 175/182 [03:31<00:08,  1.21s/it]
Epoch 28, training loss 0.111:  97%|█████████▋| 176/182 [03:32<00:07,  1.21s/it]
Epoch 28, training loss 0.111:  97%|█████████▋| 176/182 [03:33<00:07,  1.21s/it]
Epoch 28, training loss 0.111:  97%|█████████▋| 177/182 [03:33<00:06,  1.21s/it]
Epoch 28, training loss 0.111:  97%|█████████▋| 177/182 [03:34<00:06,  1.21s/it]
Epoch 28, training loss 0.111:  98%|█████████▊| 178/182 [03:34<00:04,  1.21s/it]
Epoch 28, training loss 0.111:  98%|█████████▊| 178/182 [03:35<00:04,  1.21s/it]
Epoch 28, training loss 0.111:  98%|█████████▊| 179/182 [03:35<00:03,  1.21s/it]
Epoch 28, training loss 0.111:  98%|█████████▊| 179/182 [03:36<00:03,  1.21s/it]
Epoch 28, training loss 0.111:  99%|█████████▉| 180/182 [03:37<00:02,  1.21s/it]
Epoch 28, training loss 0.111:  99%|█████████▉| 180/182 [03:37<00:02,  1.21s/it]
Epoch 28, training loss 0.111:  99%|█████████▉| 181/182 [03:38<00:01,  1.21s/it]
Epoch 28, training loss 0.112:  99%|█████████▉| 181/182 [03:38<00:01,  1.21s/it]
Epoch 28, training loss 0.112: 100%|██████████| 182/182 [03:39<00:00,  1.21s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.597:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.597:   1%|          | 1/91 [00:04<07:00,  4.68s/it]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.768:   1%|          | 1/91 [00:05<07:34,  5.05s/it]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.768:   2%|▏         | 2/91 [00:05<03:44,  2.52s/it]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.800:   2%|▏         | 2/91 [00:05<04:02,  2.72s/it]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.800:   3%|▎         | 3/91 [00:05<02:39,  1.82s/it]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.799:   3%|▎         | 3/91 [00:05<02:51,  1.95s/it]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.799:   4%|▍         | 4/91 [00:05<02:07,  1.46s/it]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.893:   4%|▍         | 4/91 [00:06<02:16,  1.57s/it]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.893:   5%|▌         | 5/91 [00:06<01:48,  1.26s/it]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.900:   5%|▌         | 5/91 [00:06<01:55,  1.35s/it]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.900:   7%|▋         | 6/91 [00:06<01:35,  1.12s/it]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.899:   7%|▋         | 6/91 [00:07<01:41,  1.20s/it]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.899:   8%|▊         | 7/91 [00:07<01:26,  1.03s/it]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.897:   8%|▊         | 7/91 [00:07<01:31,  1.09s/it]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.897:   9%|▉         | 8/91 [00:07<01:18,  1.05it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.903:   9%|▉         | 8/91 [00:08<01:23,  1.01s/it]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.903:  10%|▉         | 9/91 [00:08<01:13,  1.12it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.908:  10%|▉         | 9/91 [00:08<01:16,  1.07it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.908:  11%|█         | 10/91 [00:08<01:08,  1.18it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.908:  11%|█         | 10/91 [00:08<01:11,  1.13it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.908:  12%|█▏        | 11/91 [00:08<01:04,  1.24it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.907:  12%|█▏        | 11/91 [00:09<01:07,  1.19it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.907:  13%|█▎        | 12/91 [00:09<01:00,  1.30it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.904:  13%|█▎        | 12/91 [00:09<01:03,  1.24it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.904:  14%|█▍        | 13/91 [00:09<00:58,  1.34it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.913:  14%|█▍        | 13/91 [00:10<01:00,  1.29it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.913:  15%|█▌        | 14/91 [00:10<00:55,  1.39it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.912:  15%|█▌        | 14/91 [00:10<00:57,  1.33it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.912:  16%|█▋        | 15/91 [00:10<00:53,  1.43it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.915:  16%|█▋        | 15/91 [00:10<00:55,  1.38it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.915:  18%|█▊        | 16/91 [00:10<00:51,  1.47it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.916:  18%|█▊        | 16/91 [00:11<00:52,  1.42it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.916:  19%|█▊        | 17/91 [00:11<00:49,  1.51it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.914:  19%|█▊        | 17/91 [00:11<00:51,  1.45it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.914:  20%|█▉        | 18/91 [00:11<00:47,  1.53it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.909:  20%|█▉        | 18/91 [00:12<00:49,  1.48it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.909:  21%|██        | 19/91 [00:12<00:46,  1.56it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.906:  21%|██        | 19/91 [00:12<00:47,  1.50it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.906:  22%|██▏       | 20/91 [00:12<00:44,  1.58it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.906:  22%|██▏       | 20/91 [00:13<00:46,  1.54it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.906:  23%|██▎       | 21/91 [00:13<00:43,  1.61it/s]
Epoch 28, validation pixAcc: 0.977, mIoU: 0.904:  23%|██▎       | 21/91 [00:13<00:44,  1.57it/s]
Epoch 28, validation pixAcc: 0.977, mIoU: 0.904:  24%|██▍       | 22/91 [00:13<00:42,  1.64it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.906:  24%|██▍       | 22/91 [00:13<00:43,  1.59it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.906:  25%|██▌       | 23/91 [00:13<00:40,  1.67it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.907:  25%|██▌       | 23/91 [00:14<00:41,  1.62it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.907:  26%|██▋       | 24/91 [00:14<00:39,  1.69it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.906:  26%|██▋       | 24/91 [00:14<00:40,  1.64it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.906:  27%|██▋       | 25/91 [00:14<00:38,  1.71it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.908:  27%|██▋       | 25/91 [00:15<00:39,  1.66it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.908:  29%|██▊       | 26/91 [00:15<00:37,  1.73it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.908:  29%|██▊       | 26/91 [00:15<00:38,  1.68it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.908:  30%|██▉       | 27/91 [00:15<00:36,  1.75it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.911:  30%|██▉       | 27/91 [00:15<00:37,  1.71it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.911:  31%|███       | 28/91 [00:15<00:35,  1.77it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.910:  31%|███       | 28/91 [00:16<00:36,  1.73it/s]
Epoch 28, validation pixAcc: 0.978, mIoU: 0.910:  32%|███▏      | 29/91 [00:16<00:34,  1.79it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.911:  32%|███▏      | 29/91 [00:16<00:35,  1.75it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.911:  33%|███▎      | 30/91 [00:16<00:33,  1.81it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.913:  33%|███▎      | 30/91 [00:16<00:34,  1.76it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.913:  34%|███▍      | 31/91 [00:16<00:32,  1.82it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.914:  34%|███▍      | 31/91 [00:17<00:33,  1.78it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.914:  35%|███▌      | 32/91 [00:17<00:32,  1.84it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.915:  35%|███▌      | 32/91 [00:17<00:32,  1.79it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.915:  36%|███▋      | 33/91 [00:17<00:31,  1.84it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.916:  36%|███▋      | 33/91 [00:18<00:32,  1.80it/s]
Epoch 28, validation pixAcc: 0.979, mIoU: 0.916:  37%|███▋      | 34/91 [00:18<00:30,  1.86it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.916:  37%|███▋      | 34/91 [00:18<00:31,  1.81it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.916:  38%|███▊      | 35/91 [00:18<00:30,  1.87it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.916:  38%|███▊      | 35/91 [00:19<00:30,  1.82it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.916:  40%|███▉      | 36/91 [00:19<00:29,  1.87it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.916:  40%|███▉      | 36/91 [00:19<00:30,  1.83it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.916:  41%|████      | 37/91 [00:19<00:28,  1.88it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.916:  41%|████      | 37/91 [00:20<00:29,  1.84it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.916:  42%|████▏     | 38/91 [00:20<00:28,  1.89it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.916:  42%|████▏     | 38/91 [00:20<00:28,  1.85it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.916:  43%|████▎     | 39/91 [00:20<00:27,  1.90it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.917:  43%|████▎     | 39/91 [00:20<00:27,  1.86it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.917:  44%|████▍     | 40/91 [00:20<00:26,  1.91it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.918:  44%|████▍     | 40/91 [00:21<00:27,  1.88it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.918:  45%|████▌     | 41/91 [00:21<00:26,  1.92it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.918:  45%|████▌     | 41/91 [00:21<00:26,  1.88it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.918:  46%|████▌     | 42/91 [00:21<00:25,  1.93it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.918:  46%|████▌     | 42/91 [00:22<00:25,  1.89it/s]
Epoch 28, validation pixAcc: 0.980, mIoU: 0.918:  47%|████▋     | 43/91 [00:22<00:24,  1.94it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.919:  47%|████▋     | 43/91 [00:22<00:25,  1.90it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.919:  48%|████▊     | 44/91 [00:22<00:24,  1.94it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.920:  48%|████▊     | 44/91 [00:23<00:24,  1.91it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.920:  49%|████▉     | 45/91 [00:23<00:23,  1.95it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.919:  49%|████▉     | 45/91 [00:23<00:24,  1.91it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.919:  51%|█████     | 46/91 [00:23<00:23,  1.96it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.919:  51%|█████     | 46/91 [00:23<00:23,  1.92it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.919:  52%|█████▏    | 47/91 [00:23<00:22,  1.97it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.920:  52%|█████▏    | 47/91 [00:24<00:22,  1.93it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.920:  53%|█████▎    | 48/91 [00:24<00:21,  1.97it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.919:  53%|█████▎    | 48/91 [00:24<00:22,  1.94it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.919:  54%|█████▍    | 49/91 [00:24<00:21,  1.98it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.919:  54%|█████▍    | 49/91 [00:25<00:21,  1.95it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.919:  55%|█████▍    | 50/91 [00:25<00:20,  1.99it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.919:  55%|█████▍    | 50/91 [00:25<00:20,  1.95it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.919:  56%|█████▌    | 51/91 [00:25<00:20,  1.99it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.920:  56%|█████▌    | 51/91 [00:26<00:20,  1.96it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.920:  57%|█████▋    | 52/91 [00:26<00:19,  2.00it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.920:  57%|█████▋    | 52/91 [00:26<00:19,  1.96it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.920:  58%|█████▊    | 53/91 [00:26<00:18,  2.00it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.919:  58%|█████▊    | 53/91 [00:26<00:19,  1.97it/s]
Epoch 28, validation pixAcc: 0.981, mIoU: 0.919:  59%|█████▉    | 54/91 [00:26<00:18,  2.00it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.919:  59%|█████▉    | 54/91 [00:27<00:18,  1.97it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.919:  60%|██████    | 55/91 [00:27<00:17,  2.01it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.920:  60%|██████    | 55/91 [00:27<00:18,  1.98it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.920:  62%|██████▏   | 56/91 [00:27<00:17,  2.01it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.920:  62%|██████▏   | 56/91 [00:28<00:17,  1.98it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.920:  63%|██████▎   | 57/91 [00:28<00:16,  2.02it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.920:  63%|██████▎   | 57/91 [00:28<00:17,  1.99it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.920:  64%|██████▎   | 58/91 [00:28<00:16,  2.02it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.920:  64%|██████▎   | 58/91 [00:29<00:16,  1.99it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.920:  65%|██████▍   | 59/91 [00:29<00:15,  2.03it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.920:  65%|██████▍   | 59/91 [00:29<00:16,  2.00it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.920:  66%|██████▌   | 60/91 [00:29<00:15,  2.03it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.921:  66%|██████▌   | 60/91 [00:29<00:15,  2.00it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.921:  67%|██████▋   | 61/91 [00:29<00:14,  2.04it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.921:  67%|██████▋   | 61/91 [00:30<00:14,  2.01it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.921:  68%|██████▊   | 62/91 [00:30<00:14,  2.04it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.921:  68%|██████▊   | 62/91 [00:30<00:14,  2.01it/s]
Epoch 28, validation pixAcc: 0.982, mIoU: 0.921:  69%|██████▉   | 63/91 [00:30<00:13,  2.04it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.922:  69%|██████▉   | 63/91 [00:31<00:13,  2.01it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.922:  70%|███████   | 64/91 [00:31<00:13,  2.05it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.922:  70%|███████   | 64/91 [00:31<00:13,  2.02it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.922:  71%|███████▏  | 65/91 [00:31<00:12,  2.05it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.922:  71%|███████▏  | 65/91 [00:32<00:12,  2.02it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.922:  73%|███████▎  | 66/91 [00:32<00:12,  2.05it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.922:  73%|███████▎  | 66/91 [00:32<00:12,  2.03it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.922:  74%|███████▎  | 67/91 [00:32<00:11,  2.06it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.923:  74%|███████▎  | 67/91 [00:33<00:11,  2.03it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.923:  75%|███████▍  | 68/91 [00:33<00:11,  2.06it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.922:  75%|███████▍  | 68/91 [00:33<00:11,  2.04it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.922:  76%|███████▌  | 69/91 [00:33<00:10,  2.07it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.923:  76%|███████▌  | 69/91 [00:33<00:10,  2.04it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.923:  77%|███████▋  | 70/91 [00:33<00:10,  2.07it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.923:  77%|███████▋  | 70/91 [00:34<00:10,  2.04it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.923:  78%|███████▊  | 71/91 [00:34<00:09,  2.07it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.924:  78%|███████▊  | 71/91 [00:34<00:09,  2.05it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.924:  79%|███████▉  | 72/91 [00:34<00:09,  2.07it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.923:  79%|███████▉  | 72/91 [00:35<00:09,  2.05it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.923:  80%|████████  | 73/91 [00:35<00:08,  2.08it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.923:  80%|████████  | 73/91 [00:35<00:08,  2.05it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.923:  81%|████████▏ | 74/91 [00:35<00:08,  2.08it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.924:  81%|████████▏ | 74/91 [00:35<00:08,  2.06it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.924:  82%|████████▏ | 75/91 [00:35<00:07,  2.08it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.924:  82%|████████▏ | 75/91 [00:36<00:07,  2.06it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.924:  84%|████████▎ | 76/91 [00:36<00:07,  2.09it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.924:  84%|████████▎ | 76/91 [00:36<00:07,  2.06it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.924:  85%|████████▍ | 77/91 [00:36<00:06,  2.09it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.924:  85%|████████▍ | 77/91 [00:37<00:06,  2.07it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.924:  86%|████████▌ | 78/91 [00:37<00:06,  2.09it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.924:  86%|████████▌ | 78/91 [00:37<00:06,  2.07it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.924:  87%|████████▋ | 79/91 [00:37<00:05,  2.10it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.925:  87%|████████▋ | 79/91 [00:38<00:05,  2.08it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.925:  88%|████████▊ | 80/91 [00:38<00:05,  2.10it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.925:  88%|████████▊ | 80/91 [00:38<00:05,  2.08it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.925:  89%|████████▉ | 81/91 [00:38<00:04,  2.11it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  89%|████████▉ | 81/91 [00:38<00:04,  2.09it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  90%|█████████ | 82/91 [00:38<00:04,  2.11it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  90%|█████████ | 82/91 [00:39<00:04,  2.09it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  91%|█████████ | 83/91 [00:39<00:03,  2.12it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  91%|█████████ | 83/91 [00:39<00:03,  2.09it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  92%|█████████▏| 84/91 [00:39<00:03,  2.12it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  92%|█████████▏| 84/91 [00:40<00:03,  2.10it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  93%|█████████▎| 85/91 [00:40<00:02,  2.12it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  93%|█████████▎| 85/91 [00:40<00:02,  2.10it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  95%|█████████▍| 86/91 [00:40<00:02,  2.12it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  95%|█████████▍| 86/91 [00:40<00:02,  2.10it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  96%|█████████▌| 87/91 [00:40<00:01,  2.12it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  96%|█████████▌| 87/91 [00:41<00:01,  2.11it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  97%|█████████▋| 88/91 [00:41<00:01,  2.13it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  97%|█████████▋| 88/91 [00:41<00:01,  2.11it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  98%|█████████▊| 89/91 [00:41<00:00,  2.13it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  98%|█████████▊| 89/91 [00:42<00:00,  2.11it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  99%|█████████▉| 90/91 [00:42<00:00,  2.14it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926:  99%|█████████▉| 90/91 [00:42<00:00,  2.11it/s]
Epoch 28, validation pixAcc: 0.983, mIoU: 0.926: 100%|██████████| 91/91 [00:42<00:00,  2.14it/s]

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Epoch 29, training loss 0.130:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 29, training loss 0.130:   1%|          | 1/182 [00:05<16:07,  5.35s/it]
Epoch 29, training loss 0.092:   1%|          | 1/182 [00:06<18:14,  6.04s/it]
Epoch 29, training loss 0.092:   1%|          | 2/182 [00:06<09:48,  3.27s/it]
Epoch 29, training loss 0.087:   1%|          | 2/182 [00:07<10:40,  3.56s/it]
Epoch 29, training loss 0.087:   2%|▏         | 3/182 [00:07<07:35,  2.54s/it]
Epoch 29, training loss 0.111:   2%|▏         | 3/182 [00:08<08:19,  2.79s/it]
Epoch 29, training loss 0.111:   2%|▏         | 4/182 [00:08<06:34,  2.21s/it]
Epoch 29, training loss 0.099:   2%|▏         | 4/182 [00:09<07:02,  2.38s/it]
Epoch 29, training loss 0.099:   3%|▎         | 5/182 [00:10<05:54,  2.00s/it]
Epoch 29, training loss 0.093:   3%|▎         | 5/182 [00:10<06:17,  2.13s/it]
Epoch 29, training loss 0.093:   3%|▎         | 6/182 [00:11<05:27,  1.86s/it]
Epoch 29, training loss 0.093:   3%|▎         | 6/182 [00:11<05:46,  1.97s/it]
Epoch 29, training loss 0.093:   4%|▍         | 7/182 [00:12<05:07,  1.75s/it]
Epoch 29, training loss 0.087:   4%|▍         | 7/182 [00:12<05:24,  1.85s/it]
Epoch 29, training loss 0.087:   4%|▍         | 8/182 [00:13<04:52,  1.68s/it]
Epoch 29, training loss 0.088:   4%|▍         | 8/182 [00:14<05:09,  1.78s/it]
Epoch 29, training loss 0.088:   5%|▍         | 9/182 [00:14<04:43,  1.64s/it]
Epoch 29, training loss 0.088:   5%|▍         | 9/182 [00:15<04:55,  1.71s/it]
Epoch 29, training loss 0.088:   5%|▌         | 10/182 [00:15<04:32,  1.59s/it]
Epoch 29, training loss 0.083:   5%|▌         | 10/182 [00:16<04:43,  1.65s/it]
Epoch 29, training loss 0.083:   6%|▌         | 11/182 [00:16<04:23,  1.54s/it]
Epoch 29, training loss 0.080:   6%|▌         | 11/182 [00:17<04:35,  1.61s/it]
Epoch 29, training loss 0.080:   7%|▋         | 12/182 [00:18<04:17,  1.52s/it]
Epoch 29, training loss 0.081:   7%|▋         | 12/182 [00:18<04:26,  1.57s/it]
Epoch 29, training loss 0.081:   7%|▋         | 13/182 [00:19<04:11,  1.49s/it]
Epoch 29, training loss 0.079:   7%|▋         | 13/182 [00:19<04:19,  1.54s/it]
Epoch 29, training loss 0.079:   8%|▊         | 14/182 [00:20<04:05,  1.46s/it]
Epoch 29, training loss 0.078:   8%|▊         | 14/182 [00:21<04:13,  1.51s/it]
Epoch 29, training loss 0.078:   8%|▊         | 15/182 [00:21<04:00,  1.44s/it]
Epoch 29, training loss 0.076:   8%|▊         | 15/182 [00:22<04:08,  1.49s/it]
Epoch 29, training loss 0.076:   9%|▉         | 16/182 [00:22<03:57,  1.43s/it]
Epoch 29, training loss 0.075:   9%|▉         | 16/182 [00:23<04:03,  1.47s/it]
Epoch 29, training loss 0.075:   9%|▉         | 17/182 [00:24<03:52,  1.41s/it]
Epoch 29, training loss 0.073:   9%|▉         | 17/182 [00:24<03:59,  1.45s/it]
Epoch 29, training loss 0.073:  10%|▉         | 18/182 [00:25<03:49,  1.40s/it]
Epoch 29, training loss 0.075:  10%|▉         | 18/182 [00:25<03:55,  1.44s/it]
Epoch 29, training loss 0.075:  10%|█         | 19/182 [00:26<03:46,  1.39s/it]
Epoch 29, training loss 0.079:  10%|█         | 19/182 [00:27<03:51,  1.42s/it]
Epoch 29, training loss 0.079:  11%|█         | 20/182 [00:27<03:43,  1.38s/it]
Epoch 29, training loss 0.082:  11%|█         | 20/182 [00:28<03:48,  1.41s/it]
Epoch 29, training loss 0.082:  12%|█▏        | 21/182 [00:28<03:39,  1.37s/it]
Epoch 29, training loss 0.085:  12%|█▏        | 21/182 [00:29<03:45,  1.40s/it]
Epoch 29, training loss 0.085:  12%|█▏        | 22/182 [00:29<03:37,  1.36s/it]
Epoch 29, training loss 0.085:  12%|█▏        | 22/182 [00:30<03:42,  1.39s/it]
Epoch 29, training loss 0.085:  13%|█▎        | 23/182 [00:31<03:34,  1.35s/it]
Epoch 29, training loss 0.083:  13%|█▎        | 23/182 [00:31<03:39,  1.38s/it]
Epoch 29, training loss 0.083:  13%|█▎        | 24/182 [00:32<03:32,  1.35s/it]
Epoch 29, training loss 0.084:  13%|█▎        | 24/182 [00:32<03:36,  1.37s/it]
Epoch 29, training loss 0.084:  14%|█▎        | 25/182 [00:33<03:29,  1.34s/it]
Epoch 29, training loss 0.082:  14%|█▎        | 25/182 [00:34<03:34,  1.36s/it]
Epoch 29, training loss 0.082:  14%|█▍        | 26/182 [00:34<03:27,  1.33s/it]
Epoch 29, training loss 0.083:  14%|█▍        | 26/182 [00:35<03:31,  1.36s/it]
Epoch 29, training loss 0.083:  15%|█▍        | 27/182 [00:35<03:25,  1.33s/it]
Epoch 29, training loss 0.083:  15%|█▍        | 27/182 [00:36<03:29,  1.35s/it]
Epoch 29, training loss 0.083:  15%|█▌        | 28/182 [00:36<03:23,  1.32s/it]
Epoch 29, training loss 0.082:  15%|█▌        | 28/182 [00:37<03:27,  1.35s/it]
Epoch 29, training loss 0.082:  16%|█▌        | 29/182 [00:38<03:21,  1.32s/it]
Epoch 29, training loss 0.085:  16%|█▌        | 29/182 [00:38<03:25,  1.34s/it]
Epoch 29, training loss 0.085:  16%|█▋        | 30/182 [00:39<03:19,  1.31s/it]
Epoch 29, training loss 0.102:  16%|█▋        | 30/182 [00:40<03:22,  1.34s/it]
Epoch 29, training loss 0.102:  17%|█▋        | 31/182 [00:40<03:17,  1.31s/it]
Epoch 29, training loss 0.100:  17%|█▋        | 31/182 [00:41<03:20,  1.33s/it]
Epoch 29, training loss 0.100:  18%|█▊        | 32/182 [00:41<03:15,  1.30s/it]
Epoch 29, training loss 0.100:  18%|█▊        | 32/182 [00:42<03:18,  1.32s/it]
Epoch 29, training loss 0.100:  18%|█▊        | 33/182 [00:42<03:13,  1.30s/it]
Epoch 29, training loss 0.100:  18%|█▊        | 33/182 [00:43<03:16,  1.32s/it]
Epoch 29, training loss 0.100:  19%|█▊        | 34/182 [00:43<03:11,  1.29s/it]
Epoch 29, training loss 0.098:  19%|█▊        | 34/182 [00:44<03:15,  1.32s/it]
Epoch 29, training loss 0.098:  19%|█▉        | 35/182 [00:45<03:10,  1.30s/it]
Epoch 29, training loss 0.098:  19%|█▉        | 35/182 [00:45<03:13,  1.31s/it]
Epoch 29, training loss 0.098:  20%|█▉        | 36/182 [00:46<03:08,  1.29s/it]
Epoch 29, training loss 0.102:  20%|█▉        | 36/182 [00:47<03:11,  1.31s/it]
Epoch 29, training loss 0.102:  20%|██        | 37/182 [00:47<03:06,  1.29s/it]
Epoch 29, training loss 0.100:  20%|██        | 37/182 [00:48<03:09,  1.31s/it]
Epoch 29, training loss 0.100:  21%|██        | 38/182 [00:48<03:05,  1.29s/it]
Epoch 29, training loss 0.100:  21%|██        | 38/182 [00:49<03:07,  1.30s/it]
Epoch 29, training loss 0.100:  21%|██▏       | 39/182 [00:50<03:03,  1.28s/it]
Epoch 29, training loss 0.101:  21%|██▏       | 39/182 [00:50<03:05,  1.30s/it]
Epoch 29, training loss 0.101:  22%|██▏       | 40/182 [00:51<03:01,  1.28s/it]
Epoch 29, training loss 0.098:  22%|██▏       | 40/182 [00:51<03:04,  1.30s/it]
Epoch 29, training loss 0.098:  23%|██▎       | 41/182 [00:52<03:00,  1.28s/it]
Epoch 29, training loss 0.097:  23%|██▎       | 41/182 [00:52<03:02,  1.29s/it]
Epoch 29, training loss 0.097:  23%|██▎       | 42/182 [00:53<02:58,  1.27s/it]
Epoch 29, training loss 0.097:  23%|██▎       | 42/182 [00:54<03:00,  1.29s/it]
Epoch 29, training loss 0.097:  24%|██▎       | 43/182 [00:54<02:56,  1.27s/it]
Epoch 29, training loss 0.097:  24%|██▎       | 43/182 [00:55<02:59,  1.29s/it]
Epoch 29, training loss 0.097:  24%|██▍       | 44/182 [00:55<02:55,  1.27s/it]
Epoch 29, training loss 0.101:  24%|██▍       | 44/182 [00:56<02:57,  1.29s/it]
Epoch 29, training loss 0.101:  25%|██▍       | 45/182 [00:57<02:53,  1.27s/it]
Epoch 29, training loss 0.101:  25%|██▍       | 45/182 [00:57<02:55,  1.28s/it]
Epoch 29, training loss 0.101:  25%|██▌       | 46/182 [00:58<02:52,  1.27s/it]
Epoch 29, training loss 0.100:  25%|██▌       | 46/182 [00:58<02:54,  1.28s/it]
Epoch 29, training loss 0.100:  26%|██▌       | 47/182 [00:59<02:50,  1.27s/it]
Epoch 29, training loss 0.099:  26%|██▌       | 47/182 [01:00<02:52,  1.28s/it]
Epoch 29, training loss 0.099:  26%|██▋       | 48/182 [01:00<02:49,  1.26s/it]
Epoch 29, training loss 0.099:  26%|██▋       | 48/182 [01:01<02:51,  1.28s/it]
Epoch 29, training loss 0.099:  27%|██▋       | 49/182 [01:01<02:47,  1.26s/it]
Epoch 29, training loss 0.098:  27%|██▋       | 49/182 [01:02<02:49,  1.27s/it]
Epoch 29, training loss 0.098:  27%|██▋       | 50/182 [01:02<02:45,  1.26s/it]
Epoch 29, training loss 0.103:  27%|██▋       | 50/182 [01:03<02:47,  1.27s/it]
Epoch 29, training loss 0.103:  28%|██▊       | 51/182 [01:04<02:44,  1.26s/it]
Epoch 29, training loss 0.102:  28%|██▊       | 51/182 [01:04<02:46,  1.27s/it]
Epoch 29, training loss 0.102:  29%|██▊       | 52/182 [01:05<02:42,  1.25s/it]
Epoch 29, training loss 0.102:  29%|██▊       | 52/182 [01:05<02:44,  1.26s/it]
Epoch 29, training loss 0.102:  29%|██▉       | 53/182 [01:06<02:41,  1.25s/it]
Epoch 29, training loss 0.101:  29%|██▉       | 53/182 [01:06<02:42,  1.26s/it]
Epoch 29, training loss 0.101:  30%|██▉       | 54/182 [01:07<02:39,  1.25s/it]
Epoch 29, training loss 0.102:  30%|██▉       | 54/182 [01:08<02:41,  1.26s/it]
Epoch 29, training loss 0.102:  30%|███       | 55/182 [01:08<02:38,  1.25s/it]
Epoch 29, training loss 0.102:  30%|███       | 55/182 [01:09<02:40,  1.26s/it]
Epoch 29, training loss 0.102:  31%|███       | 56/182 [01:09<02:37,  1.25s/it]
Epoch 29, training loss 0.101:  31%|███       | 56/182 [01:10<02:38,  1.26s/it]
Epoch 29, training loss 0.101:  31%|███▏      | 57/182 [01:10<02:35,  1.24s/it]
Epoch 29, training loss 0.100:  31%|███▏      | 57/182 [01:11<02:37,  1.26s/it]
Epoch 29, training loss 0.100:  32%|███▏      | 58/182 [01:12<02:34,  1.24s/it]
Epoch 29, training loss 0.099:  32%|███▏      | 58/182 [01:12<02:35,  1.25s/it]
Epoch 29, training loss 0.099:  32%|███▏      | 59/182 [01:13<02:32,  1.24s/it]
Epoch 29, training loss 0.099:  32%|███▏      | 59/182 [01:13<02:33,  1.25s/it]
Epoch 29, training loss 0.099:  33%|███▎      | 60/182 [01:14<02:30,  1.24s/it]
Epoch 29, training loss 0.098:  33%|███▎      | 60/182 [01:14<02:32,  1.25s/it]
Epoch 29, training loss 0.098:  34%|███▎      | 61/182 [01:15<02:29,  1.24s/it]
Epoch 29, training loss 0.098:  34%|███▎      | 61/182 [01:16<02:30,  1.25s/it]
Epoch 29, training loss 0.098:  34%|███▍      | 62/182 [01:16<02:28,  1.24s/it]
Epoch 29, training loss 0.097:  34%|███▍      | 62/182 [01:17<02:29,  1.25s/it]
Epoch 29, training loss 0.097:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 29, training loss 0.097:  35%|███▍      | 63/182 [01:18<02:28,  1.25s/it]
Epoch 29, training loss 0.097:  35%|███▌      | 64/182 [01:19<02:25,  1.24s/it]
Epoch 29, training loss 0.096:  35%|███▌      | 64/182 [01:19<02:27,  1.25s/it]
Epoch 29, training loss 0.096:  36%|███▌      | 65/182 [01:20<02:24,  1.24s/it]
Epoch 29, training loss 0.096:  36%|███▌      | 65/182 [01:21<02:25,  1.25s/it]
Epoch 29, training loss 0.096:  36%|███▋      | 66/182 [01:21<02:23,  1.24s/it]
Epoch 29, training loss 0.096:  36%|███▋      | 66/182 [01:22<02:24,  1.25s/it]
Epoch 29, training loss 0.096:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 29, training loss 0.098:  37%|███▋      | 67/182 [01:23<02:22,  1.24s/it]
Epoch 29, training loss 0.098:  37%|███▋      | 68/182 [01:23<02:20,  1.23s/it]
Epoch 29, training loss 0.097:  37%|███▋      | 68/182 [01:24<02:21,  1.24s/it]
Epoch 29, training loss 0.097:  38%|███▊      | 69/182 [01:24<02:19,  1.23s/it]
Epoch 29, training loss 0.097:  38%|███▊      | 69/182 [01:25<02:20,  1.24s/it]
Epoch 29, training loss 0.097:  38%|███▊      | 70/182 [01:26<02:17,  1.23s/it]
Epoch 29, training loss 0.096:  38%|███▊      | 70/182 [01:26<02:19,  1.24s/it]
Epoch 29, training loss 0.096:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 29, training loss 0.096:  39%|███▉      | 71/182 [01:28<02:17,  1.24s/it]
Epoch 29, training loss 0.096:  40%|███▉      | 72/182 [01:28<02:15,  1.23s/it]
Epoch 29, training loss 0.095:  40%|███▉      | 72/182 [01:29<02:16,  1.24s/it]
Epoch 29, training loss 0.095:  40%|████      | 73/182 [01:29<02:13,  1.23s/it]
Epoch 29, training loss 0.095:  40%|████      | 73/182 [01:30<02:14,  1.24s/it]
Epoch 29, training loss 0.095:  41%|████      | 74/182 [01:30<02:12,  1.23s/it]
Epoch 29, training loss 0.099:  41%|████      | 74/182 [01:31<02:13,  1.24s/it]
Epoch 29, training loss 0.099:  41%|████      | 75/182 [01:31<02:11,  1.23s/it]
Epoch 29, training loss 0.102:  41%|████      | 75/182 [01:32<02:12,  1.24s/it]
Epoch 29, training loss 0.102:  42%|████▏     | 76/182 [01:33<02:09,  1.23s/it]
Epoch 29, training loss 0.103:  42%|████▏     | 76/182 [01:33<02:11,  1.24s/it]
Epoch 29, training loss 0.103:  42%|████▏     | 77/182 [01:34<02:08,  1.23s/it]
Epoch 29, training loss 0.104:  42%|████▏     | 77/182 [01:35<02:09,  1.24s/it]
Epoch 29, training loss 0.104:  43%|████▎     | 78/182 [01:35<02:07,  1.23s/it]
Epoch 29, training loss 0.103:  43%|████▎     | 78/182 [01:36<02:08,  1.24s/it]
Epoch 29, training loss 0.103:  43%|████▎     | 79/182 [01:36<02:06,  1.23s/it]
Epoch 29, training loss 0.107:  43%|████▎     | 79/182 [01:37<02:07,  1.24s/it]
Epoch 29, training loss 0.107:  44%|████▍     | 80/182 [01:38<02:05,  1.23s/it]
Epoch 29, training loss 0.107:  44%|████▍     | 80/182 [01:38<02:05,  1.24s/it]
Epoch 29, training loss 0.107:  45%|████▍     | 81/182 [01:39<02:03,  1.23s/it]
Epoch 29, training loss 0.107:  45%|████▍     | 81/182 [01:40<02:04,  1.24s/it]
Epoch 29, training loss 0.107:  45%|████▌     | 82/182 [01:40<02:02,  1.23s/it]
Epoch 29, training loss 0.106:  45%|████▌     | 82/182 [01:41<02:03,  1.23s/it]
Epoch 29, training loss 0.106:  46%|████▌     | 83/182 [01:41<02:01,  1.23s/it]
Epoch 29, training loss 0.106:  46%|████▌     | 83/182 [01:42<02:02,  1.23s/it]
Epoch 29, training loss 0.106:  46%|████▌     | 84/182 [01:42<02:00,  1.23s/it]
Epoch 29, training loss 0.105:  46%|████▌     | 84/182 [01:43<02:00,  1.23s/it]
Epoch 29, training loss 0.105:  47%|████▋     | 85/182 [01:44<01:58,  1.23s/it]
Epoch 29, training loss 0.105:  47%|████▋     | 85/182 [01:44<01:59,  1.23s/it]
Epoch 29, training loss 0.105:  47%|████▋     | 86/182 [01:45<01:57,  1.23s/it]
Epoch 29, training loss 0.104:  47%|████▋     | 86/182 [01:45<01:58,  1.23s/it]
Epoch 29, training loss 0.104:  48%|████▊     | 87/182 [01:46<01:56,  1.22s/it]
Epoch 29, training loss 0.104:  48%|████▊     | 87/182 [01:47<01:57,  1.23s/it]
Epoch 29, training loss 0.104:  48%|████▊     | 88/182 [01:47<01:55,  1.22s/it]
Epoch 29, training loss 0.104:  48%|████▊     | 88/182 [01:48<01:55,  1.23s/it]
Epoch 29, training loss 0.104:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 29, training loss 0.103:  49%|████▉     | 89/182 [01:49<01:54,  1.23s/it]
Epoch 29, training loss 0.103:  49%|████▉     | 90/182 [01:50<01:52,  1.22s/it]
Epoch 29, training loss 0.105:  49%|████▉     | 90/182 [01:50<01:53,  1.23s/it]
Epoch 29, training loss 0.105:  50%|█████     | 91/182 [01:51<01:51,  1.22s/it]
Epoch 29, training loss 0.105:  50%|█████     | 91/182 [01:51<01:51,  1.23s/it]
Epoch 29, training loss 0.105:  51%|█████     | 92/182 [01:52<01:50,  1.22s/it]
Epoch 29, training loss 0.106:  51%|█████     | 92/182 [01:53<01:50,  1.23s/it]
Epoch 29, training loss 0.106:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 29, training loss 0.107:  51%|█████     | 93/182 [01:54<01:49,  1.23s/it]
Epoch 29, training loss 0.107:  52%|█████▏    | 94/182 [01:54<01:47,  1.22s/it]
Epoch 29, training loss 0.108:  52%|█████▏    | 94/182 [01:55<01:48,  1.23s/it]
Epoch 29, training loss 0.108:  52%|█████▏    | 95/182 [01:56<01:46,  1.22s/it]
Epoch 29, training loss 0.109:  52%|█████▏    | 95/182 [01:56<01:46,  1.23s/it]
Epoch 29, training loss 0.109:  53%|█████▎    | 96/182 [01:57<01:45,  1.22s/it]
Epoch 29, training loss 0.109:  53%|█████▎    | 96/182 [01:58<01:45,  1.23s/it]
Epoch 29, training loss 0.109:  53%|█████▎    | 97/182 [01:58<01:43,  1.22s/it]
Epoch 29, training loss 0.109:  53%|█████▎    | 97/182 [01:59<01:44,  1.23s/it]
Epoch 29, training loss 0.109:  54%|█████▍    | 98/182 [01:59<01:42,  1.22s/it]
Epoch 29, training loss 0.109:  54%|█████▍    | 98/182 [02:00<01:43,  1.23s/it]
Epoch 29, training loss 0.109:  54%|█████▍    | 99/182 [02:00<01:41,  1.22s/it]
Epoch 29, training loss 0.108:  54%|█████▍    | 99/182 [02:01<01:41,  1.23s/it]
Epoch 29, training loss 0.108:  55%|█████▍    | 100/182 [02:01<01:40,  1.22s/it]
Epoch 29, training loss 0.108:  55%|█████▍    | 100/182 [02:02<01:40,  1.23s/it]
Epoch 29, training loss 0.108:  55%|█████▌    | 101/182 [02:03<01:38,  1.22s/it]
Epoch 29, training loss 0.109:  55%|█████▌    | 101/182 [02:03<01:39,  1.23s/it]
Epoch 29, training loss 0.109:  56%|█████▌    | 102/182 [02:04<01:37,  1.22s/it]
Epoch 29, training loss 0.108:  56%|█████▌    | 102/182 [02:05<01:38,  1.23s/it]
Epoch 29, training loss 0.108:  57%|█████▋    | 103/182 [02:05<01:36,  1.22s/it]
Epoch 29, training loss 0.108:  57%|█████▋    | 103/182 [02:06<01:36,  1.23s/it]
Epoch 29, training loss 0.108:  57%|█████▋    | 104/182 [02:06<01:35,  1.22s/it]
Epoch 29, training loss 0.108:  57%|█████▋    | 104/182 [02:07<01:35,  1.23s/it]
Epoch 29, training loss 0.108:  58%|█████▊    | 105/182 [02:07<01:33,  1.22s/it]
Epoch 29, training loss 0.108:  58%|█████▊    | 105/182 [02:08<01:34,  1.22s/it]
Epoch 29, training loss 0.108:  58%|█████▊    | 106/182 [02:09<01:32,  1.22s/it]
Epoch 29, training loss 0.110:  58%|█████▊    | 106/182 [02:09<01:33,  1.22s/it]
Epoch 29, training loss 0.110:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 29, training loss 0.110:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 29, training loss 0.110:  59%|█████▉    | 108/182 [02:11<01:30,  1.22s/it]
Epoch 29, training loss 0.110:  59%|█████▉    | 108/182 [02:12<01:30,  1.22s/it]
Epoch 29, training loss 0.110:  60%|█████▉    | 109/182 [02:12<01:28,  1.22s/it]
Epoch 29, training loss 0.109:  60%|█████▉    | 109/182 [02:13<01:29,  1.22s/it]
Epoch 29, training loss 0.109:  60%|██████    | 110/182 [02:13<01:27,  1.22s/it]
Epoch 29, training loss 0.109:  60%|██████    | 110/182 [02:14<01:28,  1.22s/it]
Epoch 29, training loss 0.109:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 29, training loss 0.108:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 29, training loss 0.108:  62%|██████▏   | 112/182 [02:16<01:25,  1.22s/it]
Epoch 29, training loss 0.108:  62%|██████▏   | 112/182 [02:16<01:25,  1.22s/it]
Epoch 29, training loss 0.108:  62%|██████▏   | 113/182 [02:17<01:23,  1.22s/it]
Epoch 29, training loss 0.112:  62%|██████▏   | 113/182 [02:18<01:24,  1.22s/it]
Epoch 29, training loss 0.112:  63%|██████▎   | 114/182 [02:18<01:22,  1.22s/it]
Epoch 29, training loss 0.112:  63%|██████▎   | 114/182 [02:19<01:23,  1.22s/it]
Epoch 29, training loss 0.112:  63%|██████▎   | 115/182 [02:19<01:21,  1.21s/it]
Epoch 29, training loss 0.112:  63%|██████▎   | 115/182 [02:20<01:21,  1.22s/it]
Epoch 29, training loss 0.112:  64%|██████▎   | 116/182 [02:20<01:20,  1.21s/it]
Epoch 29, training loss 0.113:  64%|██████▎   | 116/182 [02:21<01:20,  1.22s/it]
Epoch 29, training loss 0.113:  64%|██████▍   | 117/182 [02:22<01:18,  1.21s/it]
Epoch 29, training loss 0.113:  64%|██████▍   | 117/182 [02:22<01:19,  1.22s/it]
Epoch 29, training loss 0.113:  65%|██████▍   | 118/182 [02:23<01:17,  1.21s/it]
Epoch 29, training loss 0.112:  65%|██████▍   | 118/182 [02:23<01:18,  1.22s/it]
Epoch 29, training loss 0.112:  65%|██████▌   | 119/182 [02:24<01:16,  1.21s/it]
Epoch 29, training loss 0.112:  65%|██████▌   | 119/182 [02:24<01:16,  1.22s/it]
Epoch 29, training loss 0.112:  66%|██████▌   | 120/182 [02:25<01:15,  1.21s/it]
Epoch 29, training loss 0.112:  66%|██████▌   | 120/182 [02:26<01:15,  1.22s/it]
Epoch 29, training loss 0.112:  66%|██████▋   | 121/182 [02:26<01:13,  1.21s/it]
Epoch 29, training loss 0.112:  66%|██████▋   | 121/182 [02:27<01:14,  1.22s/it]
Epoch 29, training loss 0.112:  67%|██████▋   | 122/182 [02:27<01:12,  1.21s/it]
Epoch 29, training loss 0.111:  67%|██████▋   | 122/182 [02:28<01:12,  1.21s/it]
Epoch 29, training loss 0.111:  68%|██████▊   | 123/182 [02:28<01:11,  1.21s/it]
Epoch 29, training loss 0.111:  68%|██████▊   | 123/182 [02:29<01:11,  1.21s/it]
Epoch 29, training loss 0.111:  68%|██████▊   | 124/182 [02:29<01:10,  1.21s/it]
Epoch 29, training loss 0.111:  68%|██████▊   | 124/182 [02:30<01:10,  1.21s/it]
Epoch 29, training loss 0.111:  69%|██████▊   | 125/182 [02:30<01:08,  1.21s/it]
Epoch 29, training loss 0.111:  69%|██████▊   | 125/182 [02:31<01:09,  1.21s/it]
Epoch 29, training loss 0.111:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 29, training loss 0.112:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 29, training loss 0.112:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 29, training loss 0.112:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 29, training loss 0.112:  70%|███████   | 128/182 [02:34<01:05,  1.21s/it]
Epoch 29, training loss 0.112:  70%|███████   | 128/182 [02:35<01:05,  1.21s/it]
Epoch 29, training loss 0.112:  71%|███████   | 129/182 [02:35<01:03,  1.21s/it]
Epoch 29, training loss 0.112:  71%|███████   | 129/182 [02:36<01:04,  1.21s/it]
Epoch 29, training loss 0.112:  71%|███████▏  | 130/182 [02:36<01:02,  1.21s/it]
Epoch 29, training loss 0.112:  71%|███████▏  | 130/182 [02:37<01:03,  1.21s/it]
Epoch 29, training loss 0.112:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 29, training loss 0.111:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 29, training loss 0.111:  73%|███████▎  | 132/182 [02:39<01:00,  1.21s/it]
Epoch 29, training loss 0.111:  73%|███████▎  | 132/182 [02:39<01:00,  1.21s/it]
Epoch 29, training loss 0.111:  73%|███████▎  | 133/182 [02:40<00:59,  1.21s/it]
Epoch 29, training loss 0.111:  73%|███████▎  | 133/182 [02:41<00:59,  1.21s/it]
Epoch 29, training loss 0.111:  74%|███████▎  | 134/182 [02:41<00:57,  1.21s/it]
Epoch 29, training loss 0.110:  74%|███████▎  | 134/182 [02:42<00:58,  1.21s/it]
Epoch 29, training loss 0.110:  74%|███████▍  | 135/182 [02:42<00:56,  1.21s/it]
Epoch 29, training loss 0.110:  74%|███████▍  | 135/182 [02:43<00:56,  1.21s/it]
Epoch 29, training loss 0.110:  75%|███████▍  | 136/182 [02:43<00:55,  1.21s/it]
Epoch 29, training loss 0.109:  75%|███████▍  | 136/182 [02:44<00:55,  1.21s/it]
Epoch 29, training loss 0.109:  75%|███████▌  | 137/182 [02:45<00:54,  1.20s/it]
Epoch 29, training loss 0.109:  75%|███████▌  | 137/182 [02:45<00:54,  1.21s/it]
Epoch 29, training loss 0.109:  76%|███████▌  | 138/182 [02:46<00:52,  1.20s/it]
Epoch 29, training loss 0.108:  76%|███████▌  | 138/182 [02:46<00:53,  1.21s/it]
Epoch 29, training loss 0.108:  76%|███████▋  | 139/182 [02:47<00:51,  1.20s/it]
Epoch 29, training loss 0.111:  76%|███████▋  | 139/182 [02:47<00:51,  1.21s/it]
Epoch 29, training loss 0.111:  77%|███████▋  | 140/182 [02:48<00:50,  1.20s/it]
Epoch 29, training loss 0.112:  77%|███████▋  | 140/182 [02:49<00:50,  1.21s/it]
Epoch 29, training loss 0.112:  77%|███████▋  | 141/182 [02:49<00:49,  1.20s/it]
Epoch 29, training loss 0.112:  77%|███████▋  | 141/182 [02:50<00:49,  1.21s/it]
Epoch 29, training loss 0.112:  78%|███████▊  | 142/182 [02:50<00:48,  1.20s/it]
Epoch 29, training loss 0.112:  78%|███████▊  | 142/182 [02:51<00:48,  1.21s/it]
Epoch 29, training loss 0.112:  79%|███████▊  | 143/182 [02:52<00:46,  1.20s/it]
Epoch 29, training loss 0.112:  79%|███████▊  | 143/182 [02:52<00:47,  1.21s/it]
Epoch 29, training loss 0.112:  79%|███████▉  | 144/182 [02:53<00:45,  1.20s/it]
Epoch 29, training loss 0.112:  79%|███████▉  | 144/182 [02:53<00:45,  1.21s/it]
Epoch 29, training loss 0.112:  80%|███████▉  | 145/182 [02:54<00:44,  1.20s/it]
Epoch 29, training loss 0.111:  80%|███████▉  | 145/182 [02:55<00:44,  1.21s/it]
Epoch 29, training loss 0.111:  80%|████████  | 146/182 [02:55<00:43,  1.20s/it]
Epoch 29, training loss 0.112:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 29, training loss 0.112:  81%|████████  | 147/182 [02:56<00:42,  1.20s/it]
Epoch 29, training loss 0.112:  81%|████████  | 147/182 [02:57<00:42,  1.21s/it]
Epoch 29, training loss 0.112:  81%|████████▏ | 148/182 [02:57<00:40,  1.20s/it]
Epoch 29, training loss 0.112:  81%|████████▏ | 148/182 [02:58<00:41,  1.21s/it]
Epoch 29, training loss 0.112:  82%|████████▏ | 149/182 [02:59<00:39,  1.20s/it]
Epoch 29, training loss 0.112:  82%|████████▏ | 149/182 [02:59<00:39,  1.21s/it]
Epoch 29, training loss 0.112:  82%|████████▏ | 150/182 [03:00<00:38,  1.20s/it]
Epoch 29, training loss 0.114:  82%|████████▏ | 150/182 [03:01<00:38,  1.21s/it]
Epoch 29, training loss 0.114:  83%|████████▎ | 151/182 [03:01<00:37,  1.20s/it]
Epoch 29, training loss 0.113:  83%|████████▎ | 151/182 [03:02<00:37,  1.21s/it]
Epoch 29, training loss 0.113:  84%|████████▎ | 152/182 [03:02<00:36,  1.20s/it]
Epoch 29, training loss 0.113:  84%|████████▎ | 152/182 [03:03<00:36,  1.21s/it]
Epoch 29, training loss 0.113:  84%|████████▍ | 153/182 [03:03<00:34,  1.20s/it]
Epoch 29, training loss 0.113:  84%|████████▍ | 153/182 [03:04<00:34,  1.21s/it]
Epoch 29, training loss 0.113:  85%|████████▍ | 154/182 [03:05<00:33,  1.20s/it]
Epoch 29, training loss 0.113:  85%|████████▍ | 154/182 [03:05<00:33,  1.21s/it]
Epoch 29, training loss 0.113:  85%|████████▌ | 155/182 [03:06<00:32,  1.20s/it]
Epoch 29, training loss 0.112:  85%|████████▌ | 155/182 [03:07<00:32,  1.21s/it]
Epoch 29, training loss 0.112:  86%|████████▌ | 156/182 [03:07<00:31,  1.20s/it]
Epoch 29, training loss 0.113:  86%|████████▌ | 156/182 [03:08<00:31,  1.21s/it]
Epoch 29, training loss 0.113:  86%|████████▋ | 157/182 [03:08<00:30,  1.20s/it]
Epoch 29, training loss 0.112:  86%|████████▋ | 157/182 [03:09<00:30,  1.21s/it]
Epoch 29, training loss 0.112:  87%|████████▋ | 158/182 [03:09<00:28,  1.20s/it]
Epoch 29, training loss 0.112:  87%|████████▋ | 158/182 [03:10<00:28,  1.21s/it]
Epoch 29, training loss 0.112:  87%|████████▋ | 159/182 [03:11<00:27,  1.20s/it]
Epoch 29, training loss 0.112:  87%|████████▋ | 159/182 [03:11<00:27,  1.21s/it]
Epoch 29, training loss 0.112:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 29, training loss 0.111:  88%|████████▊ | 160/182 [03:12<00:26,  1.21s/it]
Epoch 29, training loss 0.111:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 29, training loss 0.113:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 29, training loss 0.113:  89%|████████▉ | 162/182 [03:14<00:24,  1.20s/it]
Epoch 29, training loss 0.113:  89%|████████▉ | 162/182 [03:15<00:24,  1.21s/it]
Epoch 29, training loss 0.113:  90%|████████▉ | 163/182 [03:15<00:22,  1.20s/it]
Epoch 29, training loss 0.113:  90%|████████▉ | 163/182 [03:16<00:22,  1.21s/it]
Epoch 29, training loss 0.113:  90%|█████████ | 164/182 [03:16<00:21,  1.20s/it]
Epoch 29, training loss 0.113:  90%|█████████ | 164/182 [03:17<00:21,  1.20s/it]
Epoch 29, training loss 0.113:  91%|█████████ | 165/182 [03:18<00:20,  1.20s/it]
Epoch 29, training loss 0.113:  91%|█████████ | 165/182 [03:18<00:20,  1.20s/it]
Epoch 29, training loss 0.113:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 29, training loss 0.113:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 29, training loss 0.113:  92%|█████████▏| 167/182 [03:20<00:17,  1.20s/it]
Epoch 29, training loss 0.113:  92%|█████████▏| 167/182 [03:20<00:18,  1.20s/it]
Epoch 29, training loss 0.113:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 29, training loss 0.113:  92%|█████████▏| 168/182 [03:22<00:16,  1.20s/it]
Epoch 29, training loss 0.113:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 29, training loss 0.112:  93%|█████████▎| 169/182 [03:23<00:15,  1.20s/it]
Epoch 29, training loss 0.112:  93%|█████████▎| 170/182 [03:23<00:14,  1.20s/it]
Epoch 29, training loss 0.112:  93%|█████████▎| 170/182 [03:24<00:14,  1.20s/it]
Epoch 29, training loss 0.112:  94%|█████████▍| 171/182 [03:24<00:13,  1.20s/it]
Epoch 29, training loss 0.112:  94%|█████████▍| 171/182 [03:25<00:13,  1.20s/it]
Epoch 29, training loss 0.112:  95%|█████████▍| 172/182 [03:26<00:11,  1.20s/it]
Epoch 29, training loss 0.112:  95%|█████████▍| 172/182 [03:26<00:12,  1.20s/it]
Epoch 29, training loss 0.112:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 29, training loss 0.112:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 29, training loss 0.112:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 29, training loss 0.112:  96%|█████████▌| 174/182 [03:29<00:09,  1.20s/it]
Epoch 29, training loss 0.112:  96%|█████████▌| 175/182 [03:29<00:08,  1.20s/it]
Epoch 29, training loss 0.111:  96%|█████████▌| 175/182 [03:30<00:08,  1.20s/it]
Epoch 29, training loss 0.111:  97%|█████████▋| 176/182 [03:30<00:07,  1.20s/it]
Epoch 29, training loss 0.111:  97%|█████████▋| 176/182 [03:31<00:07,  1.20s/it]
Epoch 29, training loss 0.111:  97%|█████████▋| 177/182 [03:31<00:05,  1.20s/it]
Epoch 29, training loss 0.111:  97%|█████████▋| 177/182 [03:32<00:06,  1.20s/it]
Epoch 29, training loss 0.111:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 29, training loss 0.111:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 29, training loss 0.111:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 29, training loss 0.111:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 29, training loss 0.111:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 29, training loss 0.111:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 29, training loss 0.111:  99%|█████████▉| 181/182 [03:36<00:01,  1.20s/it]
Epoch 29, training loss 0.112:  99%|█████████▉| 181/182 [03:37<00:01,  1.20s/it]
Epoch 29, training loss 0.112: 100%|██████████| 182/182 [03:37<00:00,  1.20s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.543:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.543:   1%|          | 1/90 [00:04<06:46,  4.56s/it]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.721:   1%|          | 1/90 [00:05<07:25,  5.01s/it]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.721:   2%|▏         | 2/90 [00:05<03:40,  2.50s/it]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.786:   2%|▏         | 2/90 [00:05<04:00,  2.73s/it]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.786:   3%|▎         | 3/90 [00:05<02:38,  1.82s/it]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.798:   3%|▎         | 3/90 [00:05<02:50,  1.96s/it]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.798:   4%|▍         | 4/90 [00:05<02:06,  1.47s/it]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.902:   4%|▍         | 4/90 [00:06<02:16,  1.58s/it]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.902:   6%|▌         | 5/90 [00:06<01:47,  1.27s/it]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.901:   6%|▌         | 5/90 [00:06<01:55,  1.36s/it]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.901:   7%|▋         | 6/90 [00:06<01:35,  1.13s/it]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.893:   7%|▋         | 6/90 [00:07<01:40,  1.20s/it]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.893:   8%|▊         | 7/90 [00:07<01:25,  1.03s/it]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.895:   8%|▊         | 7/90 [00:07<01:30,  1.09s/it]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.895:   9%|▉         | 8/90 [00:07<01:18,  1.05it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.897:   9%|▉         | 8/90 [00:08<01:22,  1.01s/it]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.897:  10%|█         | 9/90 [00:08<01:12,  1.11it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.908:  10%|█         | 9/90 [00:08<01:16,  1.05it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.908:  11%|█         | 10/90 [00:08<01:08,  1.17it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.906:  11%|█         | 10/90 [00:09<01:12,  1.11it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.906:  12%|█▏        | 11/90 [00:09<01:04,  1.22it/s]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.903:  12%|█▏        | 11/90 [00:09<01:07,  1.17it/s]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.903:  13%|█▎        | 12/90 [00:09<01:01,  1.27it/s]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.906:  13%|█▎        | 12/90 [00:09<01:04,  1.22it/s]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.906:  14%|█▍        | 13/90 [00:09<00:58,  1.32it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.912:  14%|█▍        | 13/90 [00:10<01:00,  1.26it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.912:  16%|█▌        | 14/90 [00:10<00:55,  1.36it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.912:  16%|█▌        | 14/90 [00:10<00:58,  1.30it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.912:  17%|█▋        | 15/90 [00:10<00:53,  1.40it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.917:  17%|█▋        | 15/90 [00:11<00:55,  1.34it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.917:  18%|█▊        | 16/90 [00:11<00:51,  1.43it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.916:  18%|█▊        | 16/90 [00:11<00:53,  1.38it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.916:  19%|█▉        | 17/90 [00:11<00:49,  1.46it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.914:  19%|█▉        | 17/90 [00:12<00:51,  1.41it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.914:  20%|██        | 18/90 [00:12<00:48,  1.49it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.908:  20%|██        | 18/90 [00:12<00:49,  1.44it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.908:  21%|██        | 19/90 [00:12<00:46,  1.52it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.905:  21%|██        | 19/90 [00:12<00:48,  1.48it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.905:  22%|██▏       | 20/90 [00:12<00:45,  1.55it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.908:  22%|██▏       | 20/90 [00:13<00:46,  1.51it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.908:  23%|██▎       | 21/90 [00:13<00:43,  1.58it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.904:  23%|██▎       | 21/90 [00:13<00:44,  1.53it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.904:  24%|██▍       | 22/90 [00:13<00:42,  1.61it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.906:  24%|██▍       | 22/90 [00:14<00:43,  1.56it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.906:  26%|██▌       | 23/90 [00:14<00:41,  1.63it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.906:  26%|██▌       | 23/90 [00:14<00:42,  1.58it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.906:  27%|██▋       | 24/90 [00:14<00:40,  1.65it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.906:  27%|██▋       | 24/90 [00:14<00:41,  1.60it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.906:  28%|██▊       | 25/90 [00:14<00:38,  1.67it/s]
Epoch 29, validation pixAcc: 0.977, mIoU: 0.907:  28%|██▊       | 25/90 [00:15<00:40,  1.62it/s]
Epoch 29, validation pixAcc: 0.977, mIoU: 0.907:  29%|██▉       | 26/90 [00:15<00:38,  1.68it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.909:  29%|██▉       | 26/90 [00:15<00:39,  1.63it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.909:  30%|███       | 27/90 [00:15<00:37,  1.70it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.911:  30%|███       | 27/90 [00:16<00:38,  1.65it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.911:  31%|███       | 28/90 [00:16<00:36,  1.72it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.910:  31%|███       | 28/90 [00:16<00:37,  1.67it/s]
Epoch 29, validation pixAcc: 0.978, mIoU: 0.910:  32%|███▏      | 29/90 [00:16<00:35,  1.73it/s]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.911:  32%|███▏      | 29/90 [00:17<00:36,  1.69it/s]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.911:  33%|███▎      | 30/90 [00:17<00:34,  1.75it/s]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.913:  33%|███▎      | 30/90 [00:17<00:35,  1.71it/s]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.913:  34%|███▍      | 31/90 [00:17<00:33,  1.76it/s]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.913:  34%|███▍      | 31/90 [00:17<00:34,  1.72it/s]
Epoch 29, validation pixAcc: 0.979, mIoU: 0.913:  36%|███▌      | 32/90 [00:17<00:32,  1.78it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.915:  36%|███▌      | 32/90 [00:18<00:33,  1.74it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.915:  37%|███▋      | 33/90 [00:18<00:31,  1.79it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.916:  37%|███▋      | 33/90 [00:18<00:32,  1.76it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.916:  38%|███▊      | 34/90 [00:18<00:30,  1.81it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.915:  38%|███▊      | 34/90 [00:19<00:31,  1.77it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.915:  39%|███▉      | 35/90 [00:19<00:30,  1.82it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.915:  39%|███▉      | 35/90 [00:19<00:30,  1.78it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.915:  40%|████      | 36/90 [00:19<00:29,  1.83it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.915:  40%|████      | 36/90 [00:20<00:30,  1.79it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.915:  41%|████      | 37/90 [00:20<00:28,  1.84it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.916:  41%|████      | 37/90 [00:20<00:29,  1.80it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.916:  42%|████▏     | 38/90 [00:20<00:28,  1.85it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.916:  42%|████▏     | 38/90 [00:21<00:28,  1.81it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.916:  43%|████▎     | 39/90 [00:21<00:27,  1.86it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.918:  43%|████▎     | 39/90 [00:21<00:28,  1.82it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.918:  44%|████▍     | 40/90 [00:21<00:26,  1.86it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.917:  44%|████▍     | 40/90 [00:21<00:27,  1.82it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.917:  46%|████▌     | 41/90 [00:21<00:26,  1.87it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.917:  46%|████▌     | 41/90 [00:22<00:26,  1.83it/s]
Epoch 29, validation pixAcc: 0.980, mIoU: 0.917:  47%|████▋     | 42/90 [00:22<00:25,  1.88it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.918:  47%|████▋     | 42/90 [00:22<00:26,  1.84it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.918:  48%|████▊     | 43/90 [00:22<00:24,  1.89it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.919:  48%|████▊     | 43/90 [00:23<00:25,  1.85it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.919:  49%|████▉     | 44/90 [00:23<00:24,  1.89it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.919:  49%|████▉     | 44/90 [00:23<00:24,  1.86it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.919:  50%|█████     | 45/90 [00:23<00:23,  1.90it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.919:  50%|█████     | 45/90 [00:24<00:24,  1.87it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.919:  51%|█████     | 46/90 [00:24<00:23,  1.91it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.919:  51%|█████     | 46/90 [00:24<00:23,  1.88it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.919:  52%|█████▏    | 47/90 [00:24<00:22,  1.92it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.919:  52%|█████▏    | 47/90 [00:24<00:22,  1.88it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.919:  53%|█████▎    | 48/90 [00:24<00:21,  1.92it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.919:  53%|█████▎    | 48/90 [00:25<00:22,  1.89it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.919:  54%|█████▍    | 49/90 [00:25<00:21,  1.93it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.919:  54%|█████▍    | 49/90 [00:25<00:21,  1.90it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.919:  56%|█████▌    | 50/90 [00:25<00:20,  1.93it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.919:  56%|█████▌    | 50/90 [00:26<00:21,  1.90it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.919:  57%|█████▋    | 51/90 [00:26<00:20,  1.94it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.920:  57%|█████▋    | 51/90 [00:26<00:20,  1.91it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.920:  58%|█████▊    | 52/90 [00:26<00:19,  1.95it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.918:  58%|█████▊    | 52/90 [00:27<00:19,  1.91it/s]
Epoch 29, validation pixAcc: 0.981, mIoU: 0.918:  59%|█████▉    | 53/90 [00:27<00:18,  1.95it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.919:  59%|█████▉    | 53/90 [00:27<00:19,  1.92it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.919:  60%|██████    | 54/90 [00:27<00:18,  1.95it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.919:  60%|██████    | 54/90 [00:28<00:18,  1.93it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.919:  61%|██████    | 55/90 [00:28<00:17,  1.96it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.920:  61%|██████    | 55/90 [00:28<00:18,  1.93it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.920:  62%|██████▏   | 56/90 [00:28<00:17,  1.97it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.920:  62%|██████▏   | 56/90 [00:28<00:17,  1.94it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.920:  63%|██████▎   | 57/90 [00:28<00:16,  1.97it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.920:  63%|██████▎   | 57/90 [00:29<00:16,  1.94it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.920:  64%|██████▍   | 58/90 [00:29<00:16,  1.98it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.920:  64%|██████▍   | 58/90 [00:29<00:16,  1.95it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.920:  66%|██████▌   | 59/90 [00:29<00:15,  1.98it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.920:  66%|██████▌   | 59/90 [00:30<00:15,  1.96it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.920:  67%|██████▋   | 60/90 [00:30<00:15,  1.99it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.920:  67%|██████▋   | 60/90 [00:30<00:15,  1.96it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.920:  68%|██████▊   | 61/90 [00:30<00:14,  2.00it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.921:  68%|██████▊   | 61/90 [00:30<00:14,  1.97it/s]
Epoch 29, validation pixAcc: 0.982, mIoU: 0.921:  69%|██████▉   | 62/90 [00:30<00:13,  2.00it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.921:  69%|██████▉   | 62/90 [00:31<00:14,  1.97it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.921:  70%|███████   | 63/90 [00:31<00:13,  2.00it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.922:  70%|███████   | 63/90 [00:31<00:13,  1.98it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.922:  71%|███████   | 64/90 [00:31<00:12,  2.01it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.922:  71%|███████   | 64/90 [00:32<00:13,  1.98it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.922:  72%|███████▏  | 65/90 [00:32<00:12,  2.01it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.922:  72%|███████▏  | 65/90 [00:32<00:12,  1.99it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.922:  73%|███████▎  | 66/90 [00:32<00:11,  2.02it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.922:  73%|███████▎  | 66/90 [00:33<00:12,  2.00it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.922:  74%|███████▍  | 67/90 [00:33<00:11,  2.03it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.922:  74%|███████▍  | 67/90 [00:33<00:11,  2.00it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.922:  76%|███████▌  | 68/90 [00:33<00:10,  2.03it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.923:  76%|███████▌  | 68/90 [00:33<00:10,  2.00it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.923:  77%|███████▋  | 69/90 [00:33<00:10,  2.03it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.923:  77%|███████▋  | 69/90 [00:34<00:10,  2.01it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.923:  78%|███████▊  | 70/90 [00:34<00:09,  2.04it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.923:  78%|███████▊  | 70/90 [00:34<00:09,  2.01it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.923:  79%|███████▉  | 71/90 [00:34<00:09,  2.04it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.923:  79%|███████▉  | 71/90 [00:35<00:09,  2.01it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.923:  80%|████████  | 72/90 [00:35<00:08,  2.04it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.923:  80%|████████  | 72/90 [00:35<00:08,  2.02it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.923:  81%|████████  | 73/90 [00:35<00:08,  2.05it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.923:  81%|████████  | 73/90 [00:36<00:08,  2.02it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.923:  82%|████████▏ | 74/90 [00:36<00:07,  2.05it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.924:  82%|████████▏ | 74/90 [00:36<00:07,  2.03it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.924:  83%|████████▎ | 75/90 [00:36<00:07,  2.05it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.924:  83%|████████▎ | 75/90 [00:36<00:07,  2.03it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.924:  84%|████████▍ | 76/90 [00:36<00:06,  2.06it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.924:  84%|████████▍ | 76/90 [00:37<00:06,  2.04it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.924:  86%|████████▌ | 77/90 [00:37<00:06,  2.06it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.924:  86%|████████▌ | 77/90 [00:37<00:06,  2.04it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.924:  87%|████████▋ | 78/90 [00:37<00:05,  2.06it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.924:  87%|████████▋ | 78/90 [00:38<00:05,  2.04it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.924:  88%|████████▊ | 79/90 [00:38<00:05,  2.07it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.925:  88%|████████▊ | 79/90 [00:38<00:05,  2.04it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.925:  89%|████████▉ | 80/90 [00:38<00:04,  2.07it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.925:  89%|████████▉ | 80/90 [00:39<00:04,  2.05it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.925:  90%|█████████ | 81/90 [00:39<00:04,  2.07it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  90%|█████████ | 81/90 [00:39<00:04,  2.05it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  91%|█████████ | 82/90 [00:39<00:03,  2.08it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  91%|█████████ | 82/90 [00:39<00:03,  2.05it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  92%|█████████▏| 83/90 [00:39<00:03,  2.08it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  92%|█████████▏| 83/90 [00:40<00:03,  2.06it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  93%|█████████▎| 84/90 [00:40<00:02,  2.08it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  93%|█████████▎| 84/90 [00:40<00:02,  2.06it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  94%|█████████▍| 85/90 [00:40<00:02,  2.08it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  94%|█████████▍| 85/90 [00:41<00:02,  2.06it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  96%|█████████▌| 86/90 [00:41<00:01,  2.08it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  96%|█████████▌| 86/90 [00:41<00:01,  2.06it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  97%|█████████▋| 87/90 [00:41<00:01,  2.09it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  97%|█████████▋| 87/90 [00:42<00:01,  2.07it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  98%|█████████▊| 88/90 [00:42<00:00,  2.09it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  98%|█████████▊| 88/90 [00:42<00:00,  2.07it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  99%|█████████▉| 89/90 [00:42<00:00,  2.09it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926:  99%|█████████▉| 89/90 [00:42<00:00,  2.07it/s]
Epoch 29, validation pixAcc: 0.983, mIoU: 0.926: 100%|██████████| 90/90 [00:42<00:00,  2.10it/s]

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Epoch 30, training loss 0.117:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 30, training loss 0.117:   1%|          | 1/182 [00:05<15:45,  5.22s/it]
Epoch 30, training loss 0.088:   1%|          | 1/182 [00:05<17:31,  5.81s/it]
Epoch 30, training loss 0.088:   1%|          | 2/182 [00:06<09:30,  3.17s/it]
Epoch 30, training loss 0.072:   1%|          | 2/182 [00:06<10:25,  3.47s/it]
Epoch 30, training loss 0.072:   2%|▏         | 3/182 [00:07<07:26,  2.49s/it]
Epoch 30, training loss 0.063:   2%|▏         | 3/182 [00:08<08:04,  2.71s/it]
Epoch 30, training loss 0.063:   2%|▏         | 4/182 [00:08<06:24,  2.16s/it]
Epoch 30, training loss 0.069:   2%|▏         | 4/182 [00:09<06:58,  2.35s/it]
Epoch 30, training loss 0.069:   3%|▎         | 5/182 [00:09<05:50,  1.98s/it]
Epoch 30, training loss 0.073:   3%|▎         | 5/182 [00:10<06:16,  2.13s/it]
Epoch 30, training loss 0.073:   3%|▎         | 6/182 [00:11<05:26,  1.86s/it]
Epoch 30, training loss 0.073:   3%|▎         | 6/182 [00:11<05:47,  1.98s/it]
Epoch 30, training loss 0.073:   4%|▍         | 7/182 [00:12<05:09,  1.77s/it]
Epoch 30, training loss 0.092:   4%|▍         | 7/182 [00:13<05:25,  1.86s/it]
Epoch 30, training loss 0.092:   4%|▍         | 8/182 [00:13<04:54,  1.69s/it]
Epoch 30, training loss 0.088:   4%|▍         | 8/182 [00:14<05:08,  1.77s/it]
Epoch 30, training loss 0.088:   5%|▍         | 9/182 [00:14<04:42,  1.63s/it]
Epoch 30, training loss 0.090:   5%|▍         | 9/182 [00:15<04:55,  1.71s/it]
Epoch 30, training loss 0.090:   5%|▌         | 10/182 [00:15<04:33,  1.59s/it]
Epoch 30, training loss 0.092:   5%|▌         | 10/182 [00:16<04:45,  1.66s/it]
Epoch 30, training loss 0.092:   6%|▌         | 11/182 [00:17<04:25,  1.55s/it]
Epoch 30, training loss 0.090:   6%|▌         | 11/182 [00:17<04:36,  1.62s/it]
Epoch 30, training loss 0.090:   7%|▋         | 12/182 [00:18<04:18,  1.52s/it]
Epoch 30, training loss 0.097:   7%|▋         | 12/182 [00:18<04:28,  1.58s/it]
Epoch 30, training loss 0.097:   7%|▋         | 13/182 [00:19<04:13,  1.50s/it]
Epoch 30, training loss 0.112:   7%|▋         | 13/182 [00:20<04:21,  1.55s/it]
Epoch 30, training loss 0.112:   8%|▊         | 14/182 [00:20<04:07,  1.47s/it]
Epoch 30, training loss 0.113:   8%|▊         | 14/182 [00:21<04:14,  1.52s/it]
Epoch 30, training loss 0.113:   8%|▊         | 15/182 [00:21<04:02,  1.45s/it]
Epoch 30, training loss 0.112:   8%|▊         | 15/182 [00:22<04:09,  1.50s/it]
Epoch 30, training loss 0.112:   9%|▉         | 16/182 [00:22<03:57,  1.43s/it]
Epoch 30, training loss 0.114:   9%|▉         | 16/182 [00:23<04:05,  1.48s/it]
Epoch 30, training loss 0.114:   9%|▉         | 17/182 [00:24<03:54,  1.42s/it]
Epoch 30, training loss 0.110:   9%|▉         | 17/182 [00:24<04:00,  1.46s/it]
Epoch 30, training loss 0.110:  10%|▉         | 18/182 [00:25<03:50,  1.41s/it]
Epoch 30, training loss 0.110:  10%|▉         | 18/182 [00:25<03:56,  1.44s/it]
Epoch 30, training loss 0.110:  10%|█         | 19/182 [00:26<03:47,  1.39s/it]
Epoch 30, training loss 0.107:  10%|█         | 19/182 [00:27<03:52,  1.43s/it]
Epoch 30, training loss 0.107:  11%|█         | 20/182 [00:27<03:43,  1.38s/it]
Epoch 30, training loss 0.105:  11%|█         | 20/182 [00:28<03:48,  1.41s/it]
Epoch 30, training loss 0.105:  12%|█▏        | 21/182 [00:28<03:40,  1.37s/it]
Epoch 30, training loss 0.104:  12%|█▏        | 21/182 [00:29<03:45,  1.40s/it]
Epoch 30, training loss 0.104:  12%|█▏        | 22/182 [00:29<03:37,  1.36s/it]
Epoch 30, training loss 0.102:  12%|█▏        | 22/182 [00:30<03:42,  1.39s/it]
Epoch 30, training loss 0.102:  13%|█▎        | 23/182 [00:31<03:35,  1.35s/it]
Epoch 30, training loss 0.104:  13%|█▎        | 23/182 [00:31<03:40,  1.39s/it]
Epoch 30, training loss 0.104:  13%|█▎        | 24/182 [00:32<03:33,  1.35s/it]
Epoch 30, training loss 0.103:  13%|█▎        | 24/182 [00:33<03:37,  1.38s/it]
Epoch 30, training loss 0.103:  14%|█▎        | 25/182 [00:33<03:30,  1.34s/it]
Epoch 30, training loss 0.104:  14%|█▎        | 25/182 [00:34<03:35,  1.37s/it]
Epoch 30, training loss 0.104:  14%|█▍        | 26/182 [00:34<03:28,  1.34s/it]
Epoch 30, training loss 0.101:  14%|█▍        | 26/182 [00:35<03:32,  1.36s/it]
Epoch 30, training loss 0.101:  15%|█▍        | 27/182 [00:35<03:26,  1.33s/it]
Epoch 30, training loss 0.100:  15%|█▍        | 27/182 [00:36<03:29,  1.35s/it]
Epoch 30, training loss 0.100:  15%|█▌        | 28/182 [00:37<03:23,  1.32s/it]
Epoch 30, training loss 0.097:  15%|█▌        | 28/182 [00:37<03:26,  1.34s/it]
Epoch 30, training loss 0.097:  16%|█▌        | 29/182 [00:38<03:21,  1.31s/it]
Epoch 30, training loss 0.095:  16%|█▌        | 29/182 [00:38<03:24,  1.33s/it]
Epoch 30, training loss 0.095:  16%|█▋        | 30/182 [00:39<03:18,  1.31s/it]
Epoch 30, training loss 0.096:  16%|█▋        | 30/182 [00:39<03:21,  1.33s/it]
Epoch 30, training loss 0.096:  17%|█▋        | 31/182 [00:40<03:16,  1.30s/it]
Epoch 30, training loss 0.096:  17%|█▋        | 31/182 [00:40<03:19,  1.32s/it]
Epoch 30, training loss 0.096:  18%|█▊        | 32/182 [00:41<03:14,  1.30s/it]
Epoch 30, training loss 0.098:  18%|█▊        | 32/182 [00:42<03:17,  1.31s/it]
Epoch 30, training loss 0.098:  18%|█▊        | 33/182 [00:42<03:12,  1.29s/it]
Epoch 30, training loss 0.096:  18%|█▊        | 33/182 [00:43<03:15,  1.31s/it]
Epoch 30, training loss 0.096:  19%|█▊        | 34/182 [00:43<03:10,  1.29s/it]
Epoch 30, training loss 0.100:  19%|█▊        | 34/182 [00:44<03:13,  1.31s/it]
Epoch 30, training loss 0.100:  19%|█▉        | 35/182 [00:44<03:08,  1.29s/it]
Epoch 30, training loss 0.104:  19%|█▉        | 35/182 [00:45<03:11,  1.30s/it]
Epoch 30, training loss 0.104:  20%|█▉        | 36/182 [00:46<03:07,  1.28s/it]
Epoch 30, training loss 0.104:  20%|█▉        | 36/182 [00:46<03:09,  1.30s/it]
Epoch 30, training loss 0.104:  20%|██        | 37/182 [00:47<03:05,  1.28s/it]
Epoch 30, training loss 0.102:  20%|██        | 37/182 [00:47<03:07,  1.29s/it]
Epoch 30, training loss 0.102:  21%|██        | 38/182 [00:48<03:03,  1.27s/it]
Epoch 30, training loss 0.102:  21%|██        | 38/182 [00:49<03:06,  1.29s/it]
Epoch 30, training loss 0.102:  21%|██▏       | 39/182 [00:49<03:01,  1.27s/it]
Epoch 30, training loss 0.103:  21%|██▏       | 39/182 [00:50<03:04,  1.29s/it]
Epoch 30, training loss 0.103:  22%|██▏       | 40/182 [00:50<03:00,  1.27s/it]
Epoch 30, training loss 0.102:  22%|██▏       | 40/182 [00:51<03:02,  1.28s/it]
Epoch 30, training loss 0.102:  23%|██▎       | 41/182 [00:51<02:58,  1.27s/it]
Epoch 30, training loss 0.101:  23%|██▎       | 41/182 [00:52<03:00,  1.28s/it]
Epoch 30, training loss 0.101:  23%|██▎       | 42/182 [00:53<02:56,  1.26s/it]
Epoch 30, training loss 0.101:  23%|██▎       | 42/182 [00:53<02:59,  1.28s/it]
Epoch 30, training loss 0.101:  24%|██▎       | 43/182 [00:54<02:55,  1.26s/it]
Epoch 30, training loss 0.099:  24%|██▎       | 43/182 [00:54<02:57,  1.28s/it]
Epoch 30, training loss 0.099:  24%|██▍       | 44/182 [00:55<02:53,  1.26s/it]
Epoch 30, training loss 0.105:  24%|██▍       | 44/182 [00:56<02:55,  1.27s/it]
Epoch 30, training loss 0.105:  25%|██▍       | 45/182 [00:56<02:52,  1.26s/it]
Epoch 30, training loss 0.107:  25%|██▍       | 45/182 [00:57<02:54,  1.27s/it]
Epoch 30, training loss 0.107:  25%|██▌       | 46/182 [00:57<02:50,  1.25s/it]
Epoch 30, training loss 0.107:  25%|██▌       | 46/182 [00:58<02:52,  1.27s/it]
Epoch 30, training loss 0.107:  26%|██▌       | 47/182 [00:58<02:49,  1.25s/it]
Epoch 30, training loss 0.106:  26%|██▌       | 47/182 [00:59<02:51,  1.27s/it]
Epoch 30, training loss 0.106:  26%|██▋       | 48/182 [01:00<02:47,  1.25s/it]
Epoch 30, training loss 0.108:  26%|██▋       | 48/182 [01:00<02:49,  1.27s/it]
Epoch 30, training loss 0.108:  27%|██▋       | 49/182 [01:01<02:46,  1.25s/it]
Epoch 30, training loss 0.107:  27%|██▋       | 49/182 [01:01<02:48,  1.26s/it]
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Epoch 30, training loss 0.107:  29%|██▊       | 52/182 [01:05<02:43,  1.26s/it]
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Epoch 30, training loss 0.108:  29%|██▉       | 53/182 [01:06<02:42,  1.26s/it]
Epoch 30, training loss 0.108:  30%|██▉       | 54/182 [01:07<02:39,  1.24s/it]
Epoch 30, training loss 0.110:  30%|██▉       | 54/182 [01:07<02:40,  1.26s/it]
Epoch 30, training loss 0.110:  30%|███       | 55/182 [01:08<02:37,  1.24s/it]
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Epoch 30, training loss 0.110:  31%|███       | 56/182 [01:09<02:36,  1.24s/it]
Epoch 30, training loss 0.110:  31%|███       | 56/182 [01:10<02:37,  1.25s/it]
Epoch 30, training loss 0.110:  31%|███▏      | 57/182 [01:10<02:34,  1.24s/it]
Epoch 30, training loss 0.110:  31%|███▏      | 57/182 [01:11<02:36,  1.25s/it]
Epoch 30, training loss 0.110:  32%|███▏      | 58/182 [01:11<02:33,  1.24s/it]
Epoch 30, training loss 0.109:  32%|███▏      | 58/182 [01:12<02:34,  1.25s/it]
Epoch 30, training loss 0.109:  32%|███▏      | 59/182 [01:12<02:31,  1.24s/it]
Epoch 30, training loss 0.110:  32%|███▏      | 59/182 [01:13<02:33,  1.25s/it]
Epoch 30, training loss 0.110:  33%|███▎      | 60/182 [01:14<02:30,  1.24s/it]
Epoch 30, training loss 0.109:  33%|███▎      | 60/182 [01:14<02:32,  1.25s/it]
Epoch 30, training loss 0.109:  34%|███▎      | 61/182 [01:15<02:29,  1.23s/it]
Epoch 30, training loss 0.109:  34%|███▎      | 61/182 [01:16<02:30,  1.25s/it]
Epoch 30, training loss 0.109:  34%|███▍      | 62/182 [01:16<02:28,  1.23s/it]
Epoch 30, training loss 0.113:  34%|███▍      | 62/182 [01:17<02:29,  1.24s/it]
Epoch 30, training loss 0.113:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 30, training loss 0.114:  35%|███▍      | 63/182 [01:18<02:27,  1.24s/it]
Epoch 30, training loss 0.114:  35%|███▌      | 64/182 [01:18<02:25,  1.23s/it]
Epoch 30, training loss 0.114:  35%|███▌      | 64/182 [01:19<02:26,  1.24s/it]
Epoch 30, training loss 0.114:  36%|███▌      | 65/182 [01:19<02:23,  1.23s/it]
Epoch 30, training loss 0.112:  36%|███▌      | 65/182 [01:20<02:25,  1.24s/it]
Epoch 30, training loss 0.112:  36%|███▋      | 66/182 [01:21<02:22,  1.23s/it]
Epoch 30, training loss 0.111:  36%|███▋      | 66/182 [01:21<02:23,  1.24s/it]
Epoch 30, training loss 0.111:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 30, training loss 0.110:  37%|███▋      | 67/182 [01:23<02:22,  1.24s/it]
Epoch 30, training loss 0.110:  37%|███▋      | 68/182 [01:23<02:20,  1.23s/it]
Epoch 30, training loss 0.108:  37%|███▋      | 68/182 [01:24<02:21,  1.24s/it]
Epoch 30, training loss 0.108:  38%|███▊      | 69/182 [01:24<02:18,  1.23s/it]
Epoch 30, training loss 0.109:  38%|███▊      | 69/182 [01:25<02:19,  1.24s/it]
Epoch 30, training loss 0.109:  38%|███▊      | 70/182 [01:25<02:17,  1.23s/it]
Epoch 30, training loss 0.108:  38%|███▊      | 70/182 [01:26<02:18,  1.24s/it]
Epoch 30, training loss 0.108:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 30, training loss 0.109:  39%|███▉      | 71/182 [01:27<02:17,  1.24s/it]
Epoch 30, training loss 0.109:  40%|███▉      | 72/182 [01:28<02:14,  1.23s/it]
Epoch 30, training loss 0.108:  40%|███▉      | 72/182 [01:28<02:15,  1.24s/it]
Epoch 30, training loss 0.108:  40%|████      | 73/182 [01:29<02:13,  1.23s/it]
Epoch 30, training loss 0.108:  40%|████      | 73/182 [01:30<02:14,  1.24s/it]
Epoch 30, training loss 0.108:  41%|████      | 74/182 [01:30<02:12,  1.23s/it]
Epoch 30, training loss 0.108:  41%|████      | 74/182 [01:31<02:13,  1.24s/it]
Epoch 30, training loss 0.108:  41%|████      | 75/182 [01:31<02:11,  1.23s/it]
Epoch 30, training loss 0.108:  41%|████      | 75/182 [01:32<02:12,  1.24s/it]
Epoch 30, training loss 0.108:  42%|████▏     | 76/182 [01:33<02:09,  1.23s/it]
Epoch 30, training loss 0.107:  42%|████▏     | 76/182 [01:33<02:10,  1.24s/it]
Epoch 30, training loss 0.107:  42%|████▏     | 77/182 [01:34<02:08,  1.23s/it]
Epoch 30, training loss 0.107:  42%|████▏     | 77/182 [01:35<02:09,  1.23s/it]
Epoch 30, training loss 0.107:  43%|████▎     | 78/182 [01:35<02:07,  1.23s/it]
Epoch 30, training loss 0.107:  43%|████▎     | 78/182 [01:36<02:08,  1.23s/it]
Epoch 30, training loss 0.107:  43%|████▎     | 79/182 [01:36<02:06,  1.22s/it]
Epoch 30, training loss 0.107:  43%|████▎     | 79/182 [01:37<02:07,  1.23s/it]
Epoch 30, training loss 0.107:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
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Epoch 30, training loss 0.107:  45%|████▍     | 81/182 [01:39<02:03,  1.22s/it]
Epoch 30, training loss 0.107:  45%|████▍     | 81/182 [01:39<02:04,  1.23s/it]
Epoch 30, training loss 0.107:  45%|████▌     | 82/182 [01:40<02:02,  1.22s/it]
Epoch 30, training loss 0.106:  45%|████▌     | 82/182 [01:41<02:03,  1.23s/it]
Epoch 30, training loss 0.106:  46%|████▌     | 83/182 [01:41<02:01,  1.22s/it]
Epoch 30, training loss 0.107:  46%|████▌     | 83/182 [01:42<02:01,  1.23s/it]
Epoch 30, training loss 0.107:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 30, training loss 0.106:  46%|████▌     | 84/182 [01:43<02:00,  1.23s/it]
Epoch 30, training loss 0.106:  47%|████▋     | 85/182 [01:43<01:58,  1.22s/it]
Epoch 30, training loss 0.106:  47%|████▋     | 85/182 [01:44<01:59,  1.23s/it]
Epoch 30, training loss 0.106:  47%|████▋     | 86/182 [01:44<01:57,  1.22s/it]
Epoch 30, training loss 0.106:  47%|████▋     | 86/182 [01:45<01:57,  1.23s/it]
Epoch 30, training loss 0.106:  48%|████▊     | 87/182 [01:46<01:55,  1.22s/it]
Epoch 30, training loss 0.106:  48%|████▊     | 87/182 [01:46<01:56,  1.23s/it]
Epoch 30, training loss 0.106:  48%|████▊     | 88/182 [01:47<01:54,  1.22s/it]
Epoch 30, training loss 0.106:  48%|████▊     | 88/182 [01:47<01:55,  1.23s/it]
Epoch 30, training loss 0.106:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 30, training loss 0.106:  49%|████▉     | 89/182 [01:49<01:54,  1.23s/it]
Epoch 30, training loss 0.106:  49%|████▉     | 90/182 [01:49<01:52,  1.22s/it]
Epoch 30, training loss 0.105:  49%|████▉     | 90/182 [01:50<01:52,  1.23s/it]
Epoch 30, training loss 0.105:  50%|█████     | 91/182 [01:50<01:50,  1.22s/it]
Epoch 30, training loss 0.104:  50%|█████     | 91/182 [01:51<01:51,  1.23s/it]
Epoch 30, training loss 0.104:  51%|█████     | 92/182 [01:52<01:49,  1.22s/it]
Epoch 30, training loss 0.104:  51%|█████     | 92/182 [01:52<01:50,  1.22s/it]
Epoch 30, training loss 0.104:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 30, training loss 0.104:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 30, training loss 0.104:  52%|█████▏    | 94/182 [01:54<01:46,  1.22s/it]
Epoch 30, training loss 0.104:  52%|█████▏    | 94/182 [01:54<01:47,  1.22s/it]
Epoch 30, training loss 0.104:  52%|█████▏    | 95/182 [01:55<01:45,  1.22s/it]
Epoch 30, training loss 0.103:  52%|█████▏    | 95/182 [01:56<01:46,  1.22s/it]
Epoch 30, training loss 0.103:  53%|█████▎    | 96/182 [01:56<01:44,  1.21s/it]
Epoch 30, training loss 0.104:  53%|█████▎    | 96/182 [01:57<01:45,  1.22s/it]
Epoch 30, training loss 0.104:  53%|█████▎    | 97/182 [01:57<01:43,  1.21s/it]
Epoch 30, training loss 0.103:  53%|█████▎    | 97/182 [01:58<01:43,  1.22s/it]
Epoch 30, training loss 0.103:  54%|█████▍    | 98/182 [01:58<01:41,  1.21s/it]
Epoch 30, training loss 0.106:  54%|█████▍    | 98/182 [01:59<01:42,  1.22s/it]
Epoch 30, training loss 0.106:  54%|█████▍    | 99/182 [02:00<01:40,  1.21s/it]
Epoch 30, training loss 0.105:  54%|█████▍    | 99/182 [02:00<01:41,  1.22s/it]
Epoch 30, training loss 0.105:  55%|█████▍    | 100/182 [02:01<01:39,  1.21s/it]
Epoch 30, training loss 0.104:  55%|█████▍    | 100/182 [02:02<01:40,  1.22s/it]
Epoch 30, training loss 0.104:  55%|█████▌    | 101/182 [02:02<01:38,  1.21s/it]
Epoch 30, training loss 0.105:  55%|█████▌    | 101/182 [02:03<01:38,  1.22s/it]
Epoch 30, training loss 0.105:  56%|█████▌    | 102/182 [02:03<01:37,  1.21s/it]
Epoch 30, training loss 0.105:  56%|█████▌    | 102/182 [02:04<01:37,  1.22s/it]
Epoch 30, training loss 0.105:  57%|█████▋    | 103/182 [02:04<01:35,  1.21s/it]
Epoch 30, training loss 0.106:  57%|█████▋    | 103/182 [02:05<01:36,  1.22s/it]
Epoch 30, training loss 0.106:  57%|█████▋    | 104/182 [02:06<01:34,  1.21s/it]
Epoch 30, training loss 0.106:  57%|█████▋    | 104/182 [02:06<01:35,  1.22s/it]
Epoch 30, training loss 0.106:  58%|█████▊    | 105/182 [02:07<01:33,  1.21s/it]
Epoch 30, training loss 0.107:  58%|█████▊    | 105/182 [02:08<01:33,  1.22s/it]
Epoch 30, training loss 0.107:  58%|█████▊    | 106/182 [02:08<01:32,  1.21s/it]
Epoch 30, training loss 0.106:  58%|█████▊    | 106/182 [02:09<01:32,  1.22s/it]
Epoch 30, training loss 0.106:  59%|█████▉    | 107/182 [02:09<01:30,  1.21s/it]
Epoch 30, training loss 0.106:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 30, training loss 0.106:  59%|█████▉    | 108/182 [02:10<01:29,  1.21s/it]
Epoch 30, training loss 0.106:  59%|█████▉    | 108/182 [02:11<01:30,  1.22s/it]
Epoch 30, training loss 0.106:  60%|█████▉    | 109/182 [02:11<01:28,  1.21s/it]
Epoch 30, training loss 0.106:  60%|█████▉    | 109/182 [02:12<01:28,  1.22s/it]
Epoch 30, training loss 0.106:  60%|██████    | 110/182 [02:13<01:27,  1.21s/it]
Epoch 30, training loss 0.106:  60%|██████    | 110/182 [02:13<01:27,  1.22s/it]
Epoch 30, training loss 0.106:  61%|██████    | 111/182 [02:14<01:25,  1.21s/it]
Epoch 30, training loss 0.106:  61%|██████    | 111/182 [02:14<01:26,  1.22s/it]
Epoch 30, training loss 0.106:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 30, training loss 0.106:  62%|██████▏   | 112/182 [02:16<01:25,  1.22s/it]
Epoch 30, training loss 0.106:  62%|██████▏   | 113/182 [02:16<01:23,  1.21s/it]
Epoch 30, training loss 0.105:  62%|██████▏   | 113/182 [02:17<01:23,  1.21s/it]
Epoch 30, training loss 0.105:  63%|██████▎   | 114/182 [02:17<01:22,  1.21s/it]
Epoch 30, training loss 0.104:  63%|██████▎   | 114/182 [02:18<01:22,  1.21s/it]
Epoch 30, training loss 0.104:  63%|██████▎   | 115/182 [02:18<01:20,  1.21s/it]
Epoch 30, training loss 0.104:  63%|██████▎   | 115/182 [02:19<01:21,  1.21s/it]
Epoch 30, training loss 0.104:  64%|██████▎   | 116/182 [02:20<01:19,  1.21s/it]
Epoch 30, training loss 0.103:  64%|██████▎   | 116/182 [02:20<01:20,  1.21s/it]
Epoch 30, training loss 0.103:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 30, training loss 0.105:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 30, training loss 0.105:  65%|██████▍   | 118/182 [02:22<01:17,  1.21s/it]
Epoch 30, training loss 0.107:  65%|██████▍   | 118/182 [02:22<01:17,  1.21s/it]
Epoch 30, training loss 0.107:  65%|██████▌   | 119/182 [02:23<01:15,  1.21s/it]
Epoch 30, training loss 0.106:  65%|██████▌   | 119/182 [02:24<01:16,  1.21s/it]
Epoch 30, training loss 0.106:  66%|██████▌   | 120/182 [02:24<01:14,  1.20s/it]
Epoch 30, training loss 0.107:  66%|██████▌   | 120/182 [02:25<01:15,  1.21s/it]
Epoch 30, training loss 0.107:  66%|██████▋   | 121/182 [02:25<01:13,  1.20s/it]
Epoch 30, training loss 0.107:  66%|██████▋   | 121/182 [02:26<01:13,  1.21s/it]
Epoch 30, training loss 0.107:  67%|██████▋   | 122/182 [02:26<01:12,  1.20s/it]
Epoch 30, training loss 0.108:  67%|██████▋   | 122/182 [02:27<01:12,  1.21s/it]
Epoch 30, training loss 0.108:  68%|██████▊   | 123/182 [02:28<01:11,  1.20s/it]
Epoch 30, training loss 0.108:  68%|██████▊   | 123/182 [02:28<01:11,  1.21s/it]
Epoch 30, training loss 0.108:  68%|██████▊   | 124/182 [02:29<01:09,  1.20s/it]
Epoch 30, training loss 0.109:  68%|██████▊   | 124/182 [02:29<01:10,  1.21s/it]
Epoch 30, training loss 0.109:  69%|██████▊   | 125/182 [02:30<01:08,  1.20s/it]
Epoch 30, training loss 0.109:  69%|██████▊   | 125/182 [02:31<01:08,  1.21s/it]
Epoch 30, training loss 0.109:  69%|██████▉   | 126/182 [02:31<01:07,  1.20s/it]
Epoch 30, training loss 0.109:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 30, training loss 0.109:  70%|██████▉   | 127/182 [02:32<01:06,  1.20s/it]
Epoch 30, training loss 0.110:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 30, training loss 0.110:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 30, training loss 0.110:  70%|███████   | 128/182 [02:34<01:05,  1.21s/it]
Epoch 30, training loss 0.110:  71%|███████   | 129/182 [02:35<01:03,  1.20s/it]
Epoch 30, training loss 0.109:  71%|███████   | 129/182 [02:35<01:03,  1.21s/it]
Epoch 30, training loss 0.109:  71%|███████▏  | 130/182 [02:36<01:02,  1.20s/it]
Epoch 30, training loss 0.109:  71%|███████▏  | 130/182 [02:36<01:02,  1.21s/it]
Epoch 30, training loss 0.109:  72%|███████▏  | 131/182 [02:37<01:01,  1.20s/it]
Epoch 30, training loss 0.109:  72%|███████▏  | 131/182 [02:37<01:01,  1.21s/it]
Epoch 30, training loss 0.109:  73%|███████▎  | 132/182 [02:38<01:00,  1.20s/it]
Epoch 30, training loss 0.109:  73%|███████▎  | 132/182 [02:39<01:00,  1.21s/it]
Epoch 30, training loss 0.109:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 30, training loss 0.108:  73%|███████▎  | 133/182 [02:40<00:59,  1.20s/it]
Epoch 30, training loss 0.108:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
Epoch 30, training loss 0.108:  74%|███████▎  | 134/182 [02:41<00:57,  1.20s/it]
Epoch 30, training loss 0.108:  74%|███████▍  | 135/182 [02:41<00:56,  1.20s/it]
Epoch 30, training loss 0.108:  74%|███████▍  | 135/182 [02:42<00:56,  1.20s/it]
Epoch 30, training loss 0.108:  75%|███████▍  | 136/182 [02:43<00:55,  1.20s/it]
Epoch 30, training loss 0.108:  75%|███████▍  | 136/182 [02:43<00:55,  1.20s/it]
Epoch 30, training loss 0.108:  75%|███████▌  | 137/182 [02:44<00:53,  1.20s/it]
Epoch 30, training loss 0.109:  75%|███████▌  | 137/182 [02:44<00:54,  1.20s/it]
Epoch 30, training loss 0.109:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 30, training loss 0.109:  76%|███████▌  | 138/182 [02:46<00:52,  1.20s/it]
Epoch 30, training loss 0.109:  76%|███████▋  | 139/182 [02:46<00:51,  1.20s/it]
Epoch 30, training loss 0.110:  76%|███████▋  | 139/182 [02:47<00:51,  1.20s/it]
Epoch 30, training loss 0.110:  77%|███████▋  | 140/182 [02:47<00:50,  1.20s/it]
Epoch 30, training loss 0.111:  77%|███████▋  | 140/182 [02:48<00:50,  1.20s/it]
Epoch 30, training loss 0.111:  77%|███████▋  | 141/182 [02:48<00:49,  1.20s/it]
Epoch 30, training loss 0.111:  77%|███████▋  | 141/182 [02:49<00:49,  1.20s/it]
Epoch 30, training loss 0.111:  78%|███████▊  | 142/182 [02:50<00:47,  1.20s/it]
Epoch 30, training loss 0.111:  78%|███████▊  | 142/182 [02:50<00:48,  1.20s/it]
Epoch 30, training loss 0.111:  79%|███████▊  | 143/182 [02:51<00:46,  1.20s/it]
Epoch 30, training loss 0.111:  79%|███████▊  | 143/182 [02:51<00:46,  1.20s/it]
Epoch 30, training loss 0.111:  79%|███████▉  | 144/182 [02:52<00:45,  1.20s/it]
Epoch 30, training loss 0.112:  79%|███████▉  | 144/182 [02:53<00:45,  1.20s/it]
Epoch 30, training loss 0.112:  80%|███████▉  | 145/182 [02:53<00:44,  1.20s/it]
Epoch 30, training loss 0.112:  80%|███████▉  | 145/182 [02:54<00:44,  1.20s/it]
Epoch 30, training loss 0.112:  80%|████████  | 146/182 [02:54<00:43,  1.20s/it]
Epoch 30, training loss 0.111:  80%|████████  | 146/182 [02:55<00:43,  1.20s/it]
Epoch 30, training loss 0.111:  81%|████████  | 147/182 [02:55<00:41,  1.20s/it]
Epoch 30, training loss 0.111:  81%|████████  | 147/182 [02:56<00:42,  1.20s/it]
Epoch 30, training loss 0.111:  81%|████████▏ | 148/182 [02:57<00:40,  1.20s/it]
Epoch 30, training loss 0.111:  81%|████████▏ | 148/182 [02:57<00:40,  1.20s/it]
Epoch 30, training loss 0.111:  82%|████████▏ | 149/182 [02:58<00:39,  1.20s/it]
Epoch 30, training loss 0.112:  82%|████████▏ | 149/182 [02:59<00:39,  1.20s/it]
Epoch 30, training loss 0.112:  82%|████████▏ | 150/182 [02:59<00:38,  1.20s/it]
Epoch 30, training loss 0.112:  82%|████████▏ | 150/182 [03:00<00:38,  1.20s/it]
Epoch 30, training loss 0.112:  83%|████████▎ | 151/182 [03:00<00:37,  1.20s/it]
Epoch 30, training loss 0.112:  83%|████████▎ | 151/182 [03:01<00:37,  1.20s/it]
Epoch 30, training loss 0.112:  84%|████████▎ | 152/182 [03:01<00:35,  1.20s/it]
Epoch 30, training loss 0.115:  84%|████████▎ | 152/182 [03:02<00:36,  1.20s/it]
Epoch 30, training loss 0.115:  84%|████████▍ | 153/182 [03:03<00:34,  1.20s/it]
Epoch 30, training loss 0.115:  84%|████████▍ | 153/182 [03:03<00:34,  1.20s/it]
Epoch 30, training loss 0.115:  85%|████████▍ | 154/182 [03:04<00:33,  1.20s/it]
Epoch 30, training loss 0.115:  85%|████████▍ | 154/182 [03:04<00:33,  1.20s/it]
Epoch 30, training loss 0.115:  85%|████████▌ | 155/182 [03:05<00:32,  1.20s/it]
Epoch 30, training loss 0.115:  85%|████████▌ | 155/182 [03:05<00:32,  1.20s/it]
Epoch 30, training loss 0.115:  86%|████████▌ | 156/182 [03:06<00:31,  1.20s/it]
Epoch 30, training loss 0.114:  86%|████████▌ | 156/182 [03:07<00:31,  1.20s/it]
Epoch 30, training loss 0.114:  86%|████████▋ | 157/182 [03:07<00:29,  1.20s/it]
Epoch 30, training loss 0.115:  86%|████████▋ | 157/182 [03:08<00:29,  1.20s/it]
Epoch 30, training loss 0.115:  87%|████████▋ | 158/182 [03:08<00:28,  1.20s/it]
Epoch 30, training loss 0.115:  87%|████████▋ | 158/182 [03:09<00:28,  1.20s/it]
Epoch 30, training loss 0.115:  87%|████████▋ | 159/182 [03:09<00:27,  1.19s/it]
Epoch 30, training loss 0.115:  87%|████████▋ | 159/182 [03:10<00:27,  1.20s/it]
Epoch 30, training loss 0.115:  88%|████████▊ | 160/182 [03:11<00:26,  1.19s/it]
Epoch 30, training loss 0.115:  88%|████████▊ | 160/182 [03:11<00:26,  1.20s/it]
Epoch 30, training loss 0.115:  88%|████████▊ | 161/182 [03:12<00:25,  1.19s/it]
Epoch 30, training loss 0.115:  88%|████████▊ | 161/182 [03:12<00:25,  1.20s/it]
Epoch 30, training loss 0.115:  89%|████████▉ | 162/182 [03:13<00:23,  1.19s/it]
Epoch 30, training loss 0.115:  89%|████████▉ | 162/182 [03:14<00:23,  1.20s/it]
Epoch 30, training loss 0.115:  90%|████████▉ | 163/182 [03:14<00:22,  1.19s/it]
Epoch 30, training loss 0.115:  90%|████████▉ | 163/182 [03:15<00:22,  1.20s/it]
Epoch 30, training loss 0.115:  90%|█████████ | 164/182 [03:15<00:21,  1.19s/it]
Epoch 30, training loss 0.116:  90%|█████████ | 164/182 [03:16<00:21,  1.20s/it]
Epoch 30, training loss 0.116:  91%|█████████ | 165/182 [03:16<00:20,  1.19s/it]
Epoch 30, training loss 0.116:  91%|█████████ | 165/182 [03:17<00:20,  1.20s/it]
Epoch 30, training loss 0.116:  91%|█████████ | 166/182 [03:18<00:19,  1.19s/it]
Epoch 30, training loss 0.127:  91%|█████████ | 166/182 [03:18<00:19,  1.20s/it]
Epoch 30, training loss 0.127:  92%|█████████▏| 167/182 [03:19<00:17,  1.19s/it]
Epoch 30, training loss 0.127:  92%|█████████▏| 167/182 [03:20<00:17,  1.20s/it]
Epoch 30, training loss 0.127:  92%|█████████▏| 168/182 [03:20<00:16,  1.19s/it]
Epoch 30, training loss 0.127:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 30, training loss 0.127:  93%|█████████▎| 169/182 [03:21<00:15,  1.19s/it]
Epoch 30, training loss 0.127:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 30, training loss 0.127:  93%|█████████▎| 170/182 [03:22<00:14,  1.19s/it]
Epoch 30, training loss 0.127:  93%|█████████▎| 170/182 [03:23<00:14,  1.20s/it]
Epoch 30, training loss 0.127:  94%|█████████▍| 171/182 [03:24<00:13,  1.19s/it]
Epoch 30, training loss 0.126:  94%|█████████▍| 171/182 [03:24<00:13,  1.20s/it]
Epoch 30, training loss 0.126:  95%|█████████▍| 172/182 [03:25<00:11,  1.19s/it]
Epoch 30, training loss 0.126:  95%|█████████▍| 172/182 [03:26<00:11,  1.20s/it]
Epoch 30, training loss 0.126:  95%|█████████▌| 173/182 [03:26<00:10,  1.19s/it]
Epoch 30, training loss 0.125:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 30, training loss 0.125:  96%|█████████▌| 174/182 [03:27<00:09,  1.19s/it]
Epoch 30, training loss 0.125:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 30, training loss 0.125:  96%|█████████▌| 175/182 [03:28<00:08,  1.19s/it]
Epoch 30, training loss 0.125:  96%|█████████▌| 175/182 [03:29<00:08,  1.20s/it]
Epoch 30, training loss 0.125:  97%|█████████▋| 176/182 [03:29<00:07,  1.19s/it]
Epoch 30, training loss 0.128:  97%|█████████▋| 176/182 [03:30<00:07,  1.20s/it]
Epoch 30, training loss 0.128:  97%|█████████▋| 177/182 [03:31<00:05,  1.19s/it]
Epoch 30, training loss 0.129:  97%|█████████▋| 177/182 [03:31<00:05,  1.20s/it]
Epoch 30, training loss 0.129:  98%|█████████▊| 178/182 [03:32<00:04,  1.19s/it]
Epoch 30, training loss 0.128:  98%|█████████▊| 178/182 [03:32<00:04,  1.20s/it]
Epoch 30, training loss 0.128:  98%|█████████▊| 179/182 [03:33<00:03,  1.19s/it]
Epoch 30, training loss 0.128:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 30, training loss 0.128:  99%|█████████▉| 180/182 [03:34<00:02,  1.19s/it]
Epoch 30, training loss 0.129:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 30, training loss 0.129:  99%|█████████▉| 181/182 [03:35<00:01,  1.19s/it]
Epoch 30, training loss 0.129:  99%|█████████▉| 181/182 [03:36<00:01,  1.20s/it]
Epoch 30, training loss 0.129: 100%|██████████| 182/182 [03:37<00:00,  1.19s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.662:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.662:   1%|          | 1/91 [00:04<07:12,  4.81s/it]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.826:   1%|          | 1/91 [00:05<07:54,  5.28s/it]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.826:   2%|▏         | 2/91 [00:05<03:54,  2.64s/it]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.851:   2%|▏         | 2/91 [00:05<04:14,  2.86s/it]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.851:   3%|▎         | 3/91 [00:05<02:47,  1.91s/it]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.850:   3%|▎         | 3/91 [00:06<03:00,  2.06s/it]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.850:   4%|▍         | 4/91 [00:06<02:14,  1.54s/it]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.896:   4%|▍         | 4/91 [00:06<02:23,  1.65s/it]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.896:   5%|▌         | 5/91 [00:06<01:53,  1.32s/it]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.904:   5%|▌         | 5/91 [00:07<02:01,  1.41s/it]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.904:   7%|▋         | 6/91 [00:07<01:39,  1.18s/it]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.902:   7%|▋         | 6/91 [00:07<01:46,  1.25s/it]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.902:   8%|▊         | 7/91 [00:07<01:30,  1.07s/it]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.898:   8%|▊         | 7/91 [00:07<01:35,  1.13s/it]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.898:   9%|▉         | 8/91 [00:07<01:22,  1.01it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.903:   9%|▉         | 8/91 [00:08<01:27,  1.05s/it]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.903:  10%|▉         | 9/91 [00:08<01:16,  1.07it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.902:  10%|▉         | 9/91 [00:08<01:20,  1.02it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.902:  11%|█         | 10/91 [00:08<01:11,  1.13it/s]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.904:  11%|█         | 10/91 [00:09<01:15,  1.08it/s]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.904:  12%|█▏        | 11/91 [00:09<01:07,  1.18it/s]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.903:  12%|█▏        | 11/91 [00:09<01:10,  1.14it/s]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.903:  13%|█▎        | 12/91 [00:09<01:03,  1.24it/s]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.901:  13%|█▎        | 12/91 [00:10<01:06,  1.19it/s]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.901:  14%|█▍        | 13/91 [00:10<01:00,  1.29it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.908:  14%|█▍        | 13/91 [00:10<01:02,  1.24it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.908:  15%|█▌        | 14/91 [00:10<00:57,  1.33it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.909:  15%|█▌        | 14/91 [00:10<01:00,  1.28it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.909:  16%|█▋        | 15/91 [00:10<00:55,  1.37it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.911:  16%|█▋        | 15/91 [00:11<00:57,  1.32it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.911:  18%|█▊        | 16/91 [00:11<00:53,  1.41it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.913:  18%|█▊        | 16/91 [00:11<00:55,  1.36it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.913:  19%|█▊        | 17/91 [00:11<00:51,  1.45it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.912:  19%|█▊        | 17/91 [00:12<00:53,  1.39it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.912:  20%|█▉        | 18/91 [00:12<00:49,  1.47it/s]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.907:  20%|█▉        | 18/91 [00:12<00:51,  1.42it/s]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.907:  21%|██        | 19/91 [00:12<00:48,  1.50it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.904:  21%|██        | 19/91 [00:13<00:49,  1.45it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.904:  22%|██▏       | 20/91 [00:13<00:46,  1.52it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.904:  22%|██▏       | 20/91 [00:13<00:48,  1.47it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.904:  23%|██▎       | 21/91 [00:13<00:45,  1.55it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.902:  23%|██▎       | 21/91 [00:14<00:46,  1.49it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.902:  24%|██▍       | 22/91 [00:14<00:44,  1.56it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.903:  24%|██▍       | 22/91 [00:14<00:45,  1.52it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.903:  25%|██▌       | 23/91 [00:14<00:42,  1.59it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.905:  25%|██▌       | 23/91 [00:14<00:44,  1.54it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.905:  26%|██▋       | 24/91 [00:14<00:41,  1.61it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.903:  26%|██▋       | 24/91 [00:15<00:42,  1.57it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.903:  27%|██▋       | 25/91 [00:15<00:40,  1.63it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.905:  27%|██▋       | 25/91 [00:15<00:41,  1.59it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.905:  29%|██▊       | 26/91 [00:15<00:39,  1.65it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.905:  29%|██▊       | 26/91 [00:16<00:40,  1.61it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.905:  30%|██▉       | 27/91 [00:16<00:38,  1.67it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.909:  30%|██▉       | 27/91 [00:16<00:39,  1.62it/s]
Epoch 30, validation pixAcc: 0.977, mIoU: 0.909:  31%|███       | 28/91 [00:16<00:37,  1.68it/s]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.909:  31%|███       | 28/91 [00:17<00:38,  1.64it/s]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.909:  32%|███▏      | 29/91 [00:17<00:36,  1.70it/s]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.909:  32%|███▏      | 29/91 [00:17<00:37,  1.66it/s]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.909:  33%|███▎      | 30/91 [00:17<00:35,  1.72it/s]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.910:  33%|███▎      | 30/91 [00:17<00:36,  1.67it/s]
Epoch 30, validation pixAcc: 0.978, mIoU: 0.910:  34%|███▍      | 31/91 [00:17<00:34,  1.73it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.912:  34%|███▍      | 31/91 [00:18<00:35,  1.69it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.912:  35%|███▌      | 32/91 [00:18<00:33,  1.74it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.914:  35%|███▌      | 32/91 [00:18<00:34,  1.70it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.914:  36%|███▋      | 33/91 [00:18<00:33,  1.75it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.913:  36%|███▋      | 33/91 [00:19<00:33,  1.72it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.913:  37%|███▋      | 34/91 [00:19<00:32,  1.77it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.914:  37%|███▋      | 34/91 [00:19<00:32,  1.73it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.914:  38%|███▊      | 35/91 [00:19<00:31,  1.78it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.914:  38%|███▊      | 35/91 [00:20<00:32,  1.75it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.914:  40%|███▉      | 36/91 [00:20<00:30,  1.79it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.914:  40%|███▉      | 36/91 [00:20<00:31,  1.76it/s]
Epoch 30, validation pixAcc: 0.979, mIoU: 0.914:  41%|████      | 37/91 [00:20<00:29,  1.81it/s]
Epoch 30, validation pixAcc: 0.980, mIoU: 0.915:  41%|████      | 37/91 [00:20<00:30,  1.77it/s]
Epoch 30, validation pixAcc: 0.980, mIoU: 0.915:  42%|████▏     | 38/91 [00:20<00:29,  1.82it/s]
Epoch 30, validation pixAcc: 0.980, mIoU: 0.915:  42%|████▏     | 38/91 [00:21<00:29,  1.78it/s]
Epoch 30, validation pixAcc: 0.980, mIoU: 0.915:  43%|████▎     | 39/91 [00:21<00:28,  1.83it/s]
Epoch 30, validation pixAcc: 0.980, mIoU: 0.915:  43%|████▎     | 39/91 [00:21<00:28,  1.80it/s]
Epoch 30, validation pixAcc: 0.980, mIoU: 0.915:  44%|████▍     | 40/91 [00:21<00:27,  1.84it/s]
Epoch 30, validation pixAcc: 0.980, mIoU: 0.916:  44%|████▍     | 40/91 [00:22<00:28,  1.81it/s]
Epoch 30, validation pixAcc: 0.980, mIoU: 0.916:  45%|████▌     | 41/91 [00:22<00:26,  1.86it/s]
Epoch 30, validation pixAcc: 0.980, mIoU: 0.917:  45%|████▌     | 41/91 [00:22<00:27,  1.83it/s]
Epoch 30, validation pixAcc: 0.980, mIoU: 0.917:  46%|████▌     | 42/91 [00:22<00:26,  1.87it/s]
Epoch 30, validation pixAcc: 0.980, mIoU: 0.917:  46%|████▌     | 42/91 [00:22<00:26,  1.83it/s]
Epoch 30, validation pixAcc: 0.980, mIoU: 0.917:  47%|████▋     | 43/91 [00:22<00:25,  1.88it/s]
Epoch 30, validation pixAcc: 0.980, mIoU: 0.918:  47%|████▋     | 43/91 [00:23<00:26,  1.84it/s]
Epoch 30, validation pixAcc: 0.980, mIoU: 0.918:  48%|████▊     | 44/91 [00:23<00:24,  1.88it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  48%|████▊     | 44/91 [00:23<00:25,  1.85it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  49%|████▉     | 45/91 [00:23<00:24,  1.89it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  49%|████▉     | 45/91 [00:24<00:24,  1.86it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  51%|█████     | 46/91 [00:24<00:23,  1.90it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  51%|█████     | 46/91 [00:24<00:24,  1.87it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  52%|█████▏    | 47/91 [00:24<00:23,  1.91it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  52%|█████▏    | 47/91 [00:25<00:23,  1.87it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  53%|█████▎    | 48/91 [00:25<00:22,  1.91it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  53%|█████▎    | 48/91 [00:25<00:22,  1.88it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  54%|█████▍    | 49/91 [00:25<00:21,  1.92it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  54%|█████▍    | 49/91 [00:25<00:22,  1.89it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  55%|█████▍    | 50/91 [00:25<00:21,  1.93it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  55%|█████▍    | 50/91 [00:26<00:21,  1.90it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  56%|█████▌    | 51/91 [00:26<00:20,  1.93it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.919:  56%|█████▌    | 51/91 [00:26<00:21,  1.90it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.919:  57%|█████▋    | 52/91 [00:26<00:20,  1.94it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.919:  57%|█████▋    | 52/91 [00:27<00:20,  1.90it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.919:  58%|█████▊    | 53/91 [00:27<00:19,  1.94it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  58%|█████▊    | 53/91 [00:27<00:19,  1.91it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  59%|█████▉    | 54/91 [00:27<00:19,  1.95it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  59%|█████▉    | 54/91 [00:28<00:19,  1.92it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.918:  60%|██████    | 55/91 [00:28<00:18,  1.95it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.919:  60%|██████    | 55/91 [00:28<00:18,  1.92it/s]
Epoch 30, validation pixAcc: 0.981, mIoU: 0.919:  62%|██████▏   | 56/91 [00:28<00:17,  1.96it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.919:  62%|██████▏   | 56/91 [00:29<00:18,  1.93it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.919:  63%|██████▎   | 57/91 [00:29<00:17,  1.96it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.919:  63%|██████▎   | 57/91 [00:29<00:17,  1.93it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.919:  64%|██████▎   | 58/91 [00:29<00:16,  1.97it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.919:  64%|██████▎   | 58/91 [00:29<00:17,  1.94it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.919:  65%|██████▍   | 59/91 [00:29<00:16,  1.97it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.919:  65%|██████▍   | 59/91 [00:30<00:16,  1.95it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.919:  66%|██████▌   | 60/91 [00:30<00:15,  1.98it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.920:  66%|██████▌   | 60/91 [00:30<00:15,  1.95it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.920:  67%|██████▋   | 61/91 [00:30<00:15,  1.99it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.920:  67%|██████▋   | 61/91 [00:31<00:15,  1.96it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.920:  68%|██████▊   | 62/91 [00:31<00:14,  1.99it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.920:  68%|██████▊   | 62/91 [00:31<00:14,  1.96it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.920:  69%|██████▉   | 63/91 [00:31<00:14,  1.99it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.921:  69%|██████▉   | 63/91 [00:32<00:14,  1.97it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.921:  70%|███████   | 64/91 [00:32<00:13,  2.00it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.921:  70%|███████   | 64/91 [00:32<00:13,  1.97it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.921:  71%|███████▏  | 65/91 [00:32<00:12,  2.00it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.921:  71%|███████▏  | 65/91 [00:32<00:13,  1.98it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.921:  73%|███████▎  | 66/91 [00:32<00:12,  2.01it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.922:  73%|███████▎  | 66/91 [00:33<00:12,  1.98it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.922:  74%|███████▎  | 67/91 [00:33<00:11,  2.01it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.922:  74%|███████▎  | 67/91 [00:33<00:12,  1.99it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.922:  75%|███████▍  | 68/91 [00:33<00:11,  2.02it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.922:  75%|███████▍  | 68/91 [00:34<00:11,  1.99it/s]
Epoch 30, validation pixAcc: 0.982, mIoU: 0.922:  76%|███████▌  | 69/91 [00:34<00:10,  2.02it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.922:  76%|███████▌  | 69/91 [00:34<00:11,  1.99it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.922:  77%|███████▋  | 70/91 [00:34<00:10,  2.02it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.922:  77%|███████▋  | 70/91 [00:35<00:10,  2.00it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.922:  78%|███████▊  | 71/91 [00:35<00:09,  2.03it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.922:  78%|███████▊  | 71/91 [00:35<00:10,  2.00it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.922:  79%|███████▉  | 72/91 [00:35<00:09,  2.03it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.922:  79%|███████▉  | 72/91 [00:35<00:09,  2.00it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.922:  80%|████████  | 73/91 [00:35<00:08,  2.03it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.922:  80%|████████  | 73/91 [00:36<00:08,  2.01it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.922:  81%|████████▏ | 74/91 [00:36<00:08,  2.03it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.923:  81%|████████▏ | 74/91 [00:36<00:08,  2.01it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.923:  82%|████████▏ | 75/91 [00:36<00:07,  2.04it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.923:  82%|████████▏ | 75/91 [00:37<00:07,  2.02it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.923:  84%|████████▎ | 76/91 [00:37<00:07,  2.04it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.923:  84%|████████▎ | 76/91 [00:37<00:07,  2.02it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.923:  85%|████████▍ | 77/91 [00:37<00:06,  2.05it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.923:  85%|████████▍ | 77/91 [00:37<00:06,  2.03it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.923:  86%|████████▌ | 78/91 [00:37<00:06,  2.05it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.923:  86%|████████▌ | 78/91 [00:38<00:06,  2.03it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.923:  87%|████████▋ | 79/91 [00:38<00:05,  2.06it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.924:  87%|████████▋ | 79/91 [00:38<00:05,  2.03it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.924:  88%|████████▊ | 80/91 [00:38<00:05,  2.06it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.924:  88%|████████▊ | 80/91 [00:39<00:05,  2.04it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.924:  89%|████████▉ | 81/91 [00:39<00:04,  2.06it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  89%|████████▉ | 81/91 [00:39<00:04,  2.04it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  90%|█████████ | 82/91 [00:39<00:04,  2.07it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  90%|█████████ | 82/91 [00:40<00:04,  2.04it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  91%|█████████ | 83/91 [00:40<00:03,  2.07it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  91%|█████████ | 83/91 [00:40<00:03,  2.04it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  92%|█████████▏| 84/91 [00:40<00:03,  2.07it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  92%|█████████▏| 84/91 [00:41<00:03,  2.05it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  93%|█████████▎| 85/91 [00:41<00:02,  2.07it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  93%|█████████▎| 85/91 [00:41<00:02,  2.05it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  95%|█████████▍| 86/91 [00:41<00:02,  2.07it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  95%|█████████▍| 86/91 [00:41<00:02,  2.06it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  96%|█████████▌| 87/91 [00:41<00:01,  2.08it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  96%|█████████▌| 87/91 [00:42<00:01,  2.06it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  97%|█████████▋| 88/91 [00:42<00:01,  2.09it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  97%|█████████▋| 88/91 [00:42<00:01,  2.07it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  98%|█████████▊| 89/91 [00:42<00:00,  2.09it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  98%|█████████▊| 89/91 [00:43<00:00,  2.07it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  99%|█████████▉| 90/91 [00:43<00:00,  2.09it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925:  99%|█████████▉| 90/91 [00:43<00:00,  2.07it/s]
Epoch 30, validation pixAcc: 0.983, mIoU: 0.925: 100%|██████████| 91/91 [00:43<00:00,  2.09it/s]

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Epoch 31, training loss 0.067:   0%|          | 0/183 [00:05<?, ?it/s]
Epoch 31, training loss 0.067:   1%|          | 1/183 [00:05<17:22,  5.73s/it]
Epoch 31, training loss 0.087:   1%|          | 1/183 [00:06<19:19,  6.37s/it]
Epoch 31, training loss 0.087:   1%|          | 2/183 [00:06<10:23,  3.45s/it]
Epoch 31, training loss 0.071:   1%|          | 2/183 [00:07<11:26,  3.79s/it]
Epoch 31, training loss 0.071:   2%|▏         | 3/183 [00:08<08:06,  2.70s/it]
Epoch 31, training loss 0.113:   2%|▏         | 3/183 [00:08<08:50,  2.95s/it]
Epoch 31, training loss 0.113:   2%|▏         | 4/183 [00:09<06:57,  2.34s/it]
Epoch 31, training loss 0.101:   2%|▏         | 4/183 [00:10<07:29,  2.51s/it]
Epoch 31, training loss 0.101:   3%|▎         | 5/183 [00:10<06:15,  2.11s/it]
Epoch 31, training loss 0.129:   3%|▎         | 5/183 [00:11<06:40,  2.25s/it]
Epoch 31, training loss 0.129:   3%|▎         | 6/183 [00:11<05:46,  1.96s/it]
Epoch 31, training loss 0.115:   3%|▎         | 6/183 [00:12<06:05,  2.07s/it]
Epoch 31, training loss 0.115:   4%|▍         | 7/183 [00:12<05:24,  1.84s/it]
Epoch 31, training loss 0.114:   4%|▍         | 7/183 [00:13<05:42,  1.94s/it]
Epoch 31, training loss 0.114:   4%|▍         | 8/183 [00:14<05:07,  1.76s/it]
Epoch 31, training loss 0.105:   4%|▍         | 8/183 [00:14<05:22,  1.84s/it]
Epoch 31, training loss 0.105:   5%|▍         | 9/183 [00:15<04:55,  1.70s/it]
Epoch 31, training loss 0.106:   5%|▍         | 9/183 [00:15<05:07,  1.77s/it]
Epoch 31, training loss 0.106:   5%|▌         | 10/183 [00:16<04:44,  1.64s/it]
Epoch 31, training loss 0.165:   5%|▌         | 10/183 [00:17<04:57,  1.72s/it]
Epoch 31, training loss 0.165:   6%|▌         | 11/183 [00:17<04:36,  1.61s/it]
Epoch 31, training loss 0.154:   6%|▌         | 11/183 [00:18<04:46,  1.66s/it]
Epoch 31, training loss 0.154:   7%|▋         | 12/183 [00:18<04:28,  1.57s/it]
Epoch 31, training loss 0.144:   7%|▋         | 12/183 [00:19<04:36,  1.62s/it]
Epoch 31, training loss 0.144:   7%|▋         | 13/183 [00:19<04:20,  1.53s/it]
Epoch 31, training loss 0.145:   7%|▋         | 13/183 [00:20<04:30,  1.59s/it]
Epoch 31, training loss 0.145:   8%|▊         | 14/183 [00:21<04:15,  1.51s/it]
Epoch 31, training loss 0.139:   8%|▊         | 14/183 [00:21<04:22,  1.56s/it]
Epoch 31, training loss 0.139:   8%|▊         | 15/183 [00:22<04:09,  1.49s/it]
Epoch 31, training loss 0.150:   8%|▊         | 15/183 [00:22<04:17,  1.53s/it]
Epoch 31, training loss 0.150:   9%|▊         | 16/183 [00:23<04:05,  1.47s/it]
Epoch 31, training loss 0.215:   9%|▊         | 16/183 [00:24<04:12,  1.51s/it]
Epoch 31, training loss 0.215:   9%|▉         | 17/183 [00:24<04:01,  1.45s/it]
Epoch 31, training loss 0.207:   9%|▉         | 17/183 [00:25<04:07,  1.49s/it]
Epoch 31, training loss 0.207:  10%|▉         | 18/183 [00:25<03:57,  1.44s/it]
Epoch 31, training loss 0.203:  10%|▉         | 18/183 [00:26<04:03,  1.47s/it]
Epoch 31, training loss 0.203:  10%|█         | 19/183 [00:27<03:53,  1.42s/it]
Epoch 31, training loss 0.196:  10%|█         | 19/183 [00:27<03:58,  1.46s/it]
Epoch 31, training loss 0.196:  11%|█         | 20/183 [00:28<03:49,  1.41s/it]
Epoch 31, training loss 0.192:  11%|█         | 20/183 [00:28<03:55,  1.44s/it]
Epoch 31, training loss 0.192:  11%|█▏        | 21/183 [00:29<03:46,  1.40s/it]
Epoch 31, training loss 0.191:  11%|█▏        | 21/183 [00:30<03:52,  1.44s/it]
Epoch 31, training loss 0.191:  12%|█▏        | 22/183 [00:30<03:44,  1.39s/it]
Epoch 31, training loss 0.186:  12%|█▏        | 22/183 [00:31<03:49,  1.43s/it]
Epoch 31, training loss 0.186:  13%|█▎        | 23/183 [00:31<03:41,  1.39s/it]
Epoch 31, training loss 0.181:  13%|█▎        | 23/183 [00:32<03:46,  1.41s/it]
Epoch 31, training loss 0.181:  13%|█▎        | 24/183 [00:33<03:38,  1.38s/it]
Epoch 31, training loss 0.178:  13%|█▎        | 24/183 [00:33<03:42,  1.40s/it]
Epoch 31, training loss 0.178:  14%|█▎        | 25/183 [00:34<03:35,  1.37s/it]
Epoch 31, training loss 0.172:  14%|█▎        | 25/183 [00:34<03:39,  1.39s/it]
Epoch 31, training loss 0.172:  14%|█▍        | 26/183 [00:35<03:33,  1.36s/it]
Epoch 31, training loss 0.167:  14%|█▍        | 26/183 [00:36<03:37,  1.39s/it]
Epoch 31, training loss 0.167:  15%|█▍        | 27/183 [00:36<03:31,  1.35s/it]
Epoch 31, training loss 0.164:  15%|█▍        | 27/183 [00:37<03:35,  1.38s/it]
Epoch 31, training loss 0.164:  15%|█▌        | 28/183 [00:37<03:29,  1.35s/it]
Epoch 31, training loss 0.165:  15%|█▌        | 28/183 [00:38<03:32,  1.37s/it]
Epoch 31, training loss 0.165:  16%|█▌        | 29/183 [00:39<03:27,  1.35s/it]
Epoch 31, training loss 0.163:  16%|█▌        | 29/183 [00:39<03:30,  1.37s/it]
Epoch 31, training loss 0.163:  16%|█▋        | 30/183 [00:40<03:24,  1.34s/it]
Epoch 31, training loss 0.162:  16%|█▋        | 30/183 [00:40<03:27,  1.36s/it]
Epoch 31, training loss 0.162:  17%|█▋        | 31/183 [00:41<03:22,  1.33s/it]
Epoch 31, training loss 0.161:  17%|█▋        | 31/183 [00:42<03:25,  1.36s/it]
Epoch 31, training loss 0.161:  17%|█▋        | 32/183 [00:42<03:20,  1.33s/it]
Epoch 31, training loss 0.159:  17%|█▋        | 32/183 [00:43<03:23,  1.35s/it]
Epoch 31, training loss 0.159:  18%|█▊        | 33/183 [00:43<03:18,  1.32s/it]
Epoch 31, training loss 0.157:  18%|█▊        | 33/183 [00:44<03:21,  1.35s/it]
Epoch 31, training loss 0.157:  19%|█▊        | 34/183 [00:44<03:16,  1.32s/it]
Epoch 31, training loss 0.154:  19%|█▊        | 34/183 [00:45<03:19,  1.34s/it]
Epoch 31, training loss 0.154:  19%|█▉        | 35/183 [00:46<03:14,  1.32s/it]
Epoch 31, training loss 0.158:  19%|█▉        | 35/183 [00:46<03:17,  1.34s/it]
Epoch 31, training loss 0.158:  20%|█▉        | 36/183 [00:47<03:12,  1.31s/it]
Epoch 31, training loss 0.155:  20%|█▉        | 36/183 [00:47<03:15,  1.33s/it]
Epoch 31, training loss 0.155:  20%|██        | 37/183 [00:48<03:11,  1.31s/it]
Epoch 31, training loss 0.156:  20%|██        | 37/183 [00:49<03:13,  1.33s/it]
Epoch 31, training loss 0.156:  21%|██        | 38/183 [00:49<03:09,  1.31s/it]
Epoch 31, training loss 0.156:  21%|██        | 38/183 [00:50<03:11,  1.32s/it]
Epoch 31, training loss 0.156:  21%|██▏       | 39/183 [00:50<03:07,  1.30s/it]
Epoch 31, training loss 0.154:  21%|██▏       | 39/183 [00:51<03:09,  1.32s/it]
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Epoch 31, training loss 0.152:  22%|██▏       | 41/183 [00:52<03:03,  1.29s/it]
Epoch 31, training loss 0.150:  22%|██▏       | 41/183 [00:53<03:05,  1.31s/it]
Epoch 31, training loss 0.150:  23%|██▎       | 42/183 [00:54<03:01,  1.29s/it]
Epoch 31, training loss 0.148:  23%|██▎       | 42/183 [00:54<03:04,  1.31s/it]
Epoch 31, training loss 0.148:  23%|██▎       | 43/183 [00:55<03:00,  1.29s/it]
Epoch 31, training loss 0.147:  23%|██▎       | 43/183 [00:56<03:02,  1.30s/it]
Epoch 31, training loss 0.147:  24%|██▍       | 44/183 [00:56<02:58,  1.29s/it]
Epoch 31, training loss 0.145:  24%|██▍       | 44/183 [00:57<03:00,  1.30s/it]
Epoch 31, training loss 0.145:  25%|██▍       | 45/183 [00:57<02:57,  1.28s/it]
Epoch 31, training loss 0.145:  25%|██▍       | 45/183 [00:58<02:59,  1.30s/it]
Epoch 31, training loss 0.145:  25%|██▌       | 46/183 [00:58<02:55,  1.28s/it]
Epoch 31, training loss 0.143:  25%|██▌       | 46/183 [00:59<02:57,  1.30s/it]
Epoch 31, training loss 0.143:  26%|██▌       | 47/183 [01:00<02:53,  1.28s/it]
Epoch 31, training loss 0.143:  26%|██▌       | 47/183 [01:00<02:55,  1.29s/it]
Epoch 31, training loss 0.143:  26%|██▌       | 48/183 [01:01<02:52,  1.28s/it]
Epoch 31, training loss 0.141:  26%|██▌       | 48/183 [01:02<02:54,  1.29s/it]
Epoch 31, training loss 0.141:  27%|██▋       | 49/183 [01:02<02:50,  1.28s/it]
Epoch 31, training loss 0.140:  27%|██▋       | 49/183 [01:03<02:52,  1.29s/it]
Epoch 31, training loss 0.140:  27%|██▋       | 50/183 [01:03<02:49,  1.27s/it]
Epoch 31, training loss 0.138:  27%|██▋       | 50/183 [01:04<02:51,  1.29s/it]
Epoch 31, training loss 0.138:  28%|██▊       | 51/183 [01:04<02:47,  1.27s/it]
Epoch 31, training loss 0.138:  28%|██▊       | 51/183 [01:05<02:49,  1.28s/it]
Epoch 31, training loss 0.138:  28%|██▊       | 52/183 [01:05<02:46,  1.27s/it]
Epoch 31, training loss 0.136:  28%|██▊       | 52/183 [01:06<02:47,  1.28s/it]
Epoch 31, training loss 0.136:  29%|██▉       | 53/183 [01:07<02:44,  1.27s/it]
Epoch 31, training loss 0.134:  29%|██▉       | 53/183 [01:07<02:46,  1.28s/it]
Epoch 31, training loss 0.134:  30%|██▉       | 54/183 [01:08<02:43,  1.26s/it]
Epoch 31, training loss 0.133:  30%|██▉       | 54/183 [01:09<02:45,  1.28s/it]
Epoch 31, training loss 0.133:  30%|███       | 55/183 [01:09<02:41,  1.27s/it]
Epoch 31, training loss 0.131:  30%|███       | 55/183 [01:10<02:43,  1.28s/it]
Epoch 31, training loss 0.131:  31%|███       | 56/183 [01:10<02:40,  1.27s/it]
Epoch 31, training loss 0.133:  31%|███       | 56/183 [01:11<02:42,  1.28s/it]
Epoch 31, training loss 0.133:  31%|███       | 57/183 [01:12<02:39,  1.26s/it]
Epoch 31, training loss 0.131:  31%|███       | 57/183 [01:12<02:40,  1.28s/it]
Epoch 31, training loss 0.131:  32%|███▏      | 58/183 [01:13<02:37,  1.26s/it]
Epoch 31, training loss 0.130:  32%|███▏      | 58/183 [01:13<02:39,  1.27s/it]
Epoch 31, training loss 0.130:  32%|███▏      | 59/183 [01:14<02:36,  1.26s/it]
Epoch 31, training loss 0.130:  32%|███▏      | 59/183 [01:14<02:37,  1.27s/it]
Epoch 31, training loss 0.130:  33%|███▎      | 60/183 [01:15<02:34,  1.26s/it]
Epoch 31, training loss 0.130:  33%|███▎      | 60/183 [01:16<02:35,  1.27s/it]
Epoch 31, training loss 0.130:  33%|███▎      | 61/183 [01:16<02:33,  1.26s/it]
Epoch 31, training loss 0.129:  33%|███▎      | 61/183 [01:17<02:34,  1.27s/it]
Epoch 31, training loss 0.129:  34%|███▍      | 62/183 [01:17<02:31,  1.25s/it]
Epoch 31, training loss 0.128:  34%|███▍      | 62/183 [01:18<02:33,  1.27s/it]
Epoch 31, training loss 0.128:  34%|███▍      | 63/183 [01:18<02:30,  1.25s/it]
Epoch 31, training loss 0.127:  34%|███▍      | 63/183 [01:19<02:31,  1.26s/it]
Epoch 31, training loss 0.127:  35%|███▍      | 64/183 [01:20<02:29,  1.25s/it]
Epoch 31, training loss 0.127:  35%|███▍      | 64/183 [01:20<02:30,  1.26s/it]
Epoch 31, training loss 0.127:  36%|███▌      | 65/183 [01:21<02:27,  1.25s/it]
Epoch 31, training loss 0.126:  36%|███▌      | 65/183 [01:21<02:28,  1.26s/it]
Epoch 31, training loss 0.126:  36%|███▌      | 66/183 [01:22<02:26,  1.25s/it]
Epoch 31, training loss 0.130:  36%|███▌      | 66/183 [01:23<02:27,  1.26s/it]
Epoch 31, training loss 0.130:  37%|███▋      | 67/183 [01:23<02:24,  1.25s/it]
Epoch 31, training loss 0.129:  37%|███▋      | 67/183 [01:24<02:26,  1.26s/it]
Epoch 31, training loss 0.129:  37%|███▋      | 68/183 [01:25<02:23,  1.25s/it]
Epoch 31, training loss 0.130:  37%|███▋      | 68/183 [01:25<02:24,  1.26s/it]
Epoch 31, training loss 0.130:  38%|███▊      | 69/183 [01:26<02:22,  1.25s/it]
Epoch 31, training loss 0.130:  38%|███▊      | 69/183 [01:26<02:23,  1.26s/it]
Epoch 31, training loss 0.130:  38%|███▊      | 70/183 [01:27<02:21,  1.25s/it]
Epoch 31, training loss 0.129:  38%|███▊      | 70/183 [01:28<02:22,  1.26s/it]
Epoch 31, training loss 0.129:  39%|███▉      | 71/183 [01:28<02:19,  1.25s/it]
Epoch 31, training loss 0.128:  39%|███▉      | 71/183 [01:29<02:20,  1.26s/it]
Epoch 31, training loss 0.128:  39%|███▉      | 72/183 [01:29<02:18,  1.25s/it]
Epoch 31, training loss 0.127:  39%|███▉      | 72/183 [01:30<02:19,  1.26s/it]
Epoch 31, training loss 0.127:  40%|███▉      | 73/183 [01:30<02:17,  1.25s/it]
Epoch 31, training loss 0.127:  40%|███▉      | 73/183 [01:31<02:17,  1.25s/it]
Epoch 31, training loss 0.127:  40%|████      | 74/183 [01:32<02:15,  1.24s/it]
Epoch 31, training loss 0.128:  40%|████      | 74/183 [01:32<02:16,  1.25s/it]
Epoch 31, training loss 0.128:  41%|████      | 75/183 [01:33<02:14,  1.24s/it]
Epoch 31, training loss 0.128:  41%|████      | 75/183 [01:33<02:15,  1.25s/it]
Epoch 31, training loss 0.128:  42%|████▏     | 76/183 [01:34<02:12,  1.24s/it]
Epoch 31, training loss 0.127:  42%|████▏     | 76/183 [01:35<02:13,  1.25s/it]
Epoch 31, training loss 0.127:  42%|████▏     | 77/183 [01:35<02:11,  1.24s/it]
Epoch 31, training loss 0.127:  42%|████▏     | 77/183 [01:36<02:12,  1.25s/it]
Epoch 31, training loss 0.127:  43%|████▎     | 78/183 [01:36<02:10,  1.24s/it]
Epoch 31, training loss 0.128:  43%|████▎     | 78/183 [01:37<02:11,  1.25s/it]
Epoch 31, training loss 0.128:  43%|████▎     | 79/183 [01:37<02:08,  1.24s/it]
Epoch 31, training loss 0.128:  43%|████▎     | 79/183 [01:38<02:09,  1.25s/it]
Epoch 31, training loss 0.128:  44%|████▎     | 80/183 [01:39<02:07,  1.24s/it]
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Epoch 31, training loss 0.129:  44%|████▍     | 81/183 [01:40<02:06,  1.24s/it]
Epoch 31, training loss 0.127:  44%|████▍     | 81/183 [01:41<02:07,  1.25s/it]
Epoch 31, training loss 0.127:  45%|████▍     | 82/183 [01:41<02:05,  1.24s/it]
Epoch 31, training loss 0.128:  45%|████▍     | 82/183 [01:42<02:05,  1.25s/it]
Epoch 31, training loss 0.128:  45%|████▌     | 83/183 [01:42<02:03,  1.24s/it]
Epoch 31, training loss 0.127:  45%|████▌     | 83/183 [01:43<02:04,  1.25s/it]
Epoch 31, training loss 0.127:  46%|████▌     | 84/183 [01:43<02:02,  1.24s/it]
Epoch 31, training loss 0.127:  46%|████▌     | 84/183 [01:44<02:03,  1.25s/it]
Epoch 31, training loss 0.127:  46%|████▋     | 85/183 [01:45<02:01,  1.24s/it]
Epoch 31, training loss 0.127:  46%|████▋     | 85/183 [01:45<02:01,  1.24s/it]
Epoch 31, training loss 0.127:  47%|████▋     | 86/183 [01:46<01:59,  1.24s/it]
Epoch 31, training loss 0.127:  47%|████▋     | 86/183 [01:46<02:00,  1.24s/it]
Epoch 31, training loss 0.127:  48%|████▊     | 87/183 [01:47<01:58,  1.23s/it]
Epoch 31, training loss 0.126:  48%|████▊     | 87/183 [01:48<01:59,  1.24s/it]
Epoch 31, training loss 0.126:  48%|████▊     | 88/183 [01:48<01:57,  1.24s/it]
Epoch 31, training loss 0.126:  48%|████▊     | 88/183 [01:49<01:58,  1.24s/it]
Epoch 31, training loss 0.126:  49%|████▊     | 89/183 [01:49<01:56,  1.23s/it]
Epoch 31, training loss 0.126:  49%|████▊     | 89/183 [01:50<01:56,  1.24s/it]
Epoch 31, training loss 0.126:  49%|████▉     | 90/183 [01:50<01:54,  1.23s/it]
Epoch 31, training loss 0.126:  49%|████▉     | 90/183 [01:51<01:55,  1.24s/it]
Epoch 31, training loss 0.126:  50%|████▉     | 91/183 [01:52<01:53,  1.23s/it]
Epoch 31, training loss 0.126:  50%|████▉     | 91/183 [01:52<01:54,  1.24s/it]
Epoch 31, training loss 0.126:  50%|█████     | 92/183 [01:53<01:52,  1.23s/it]
Epoch 31, training loss 0.127:  50%|█████     | 92/183 [01:53<01:52,  1.24s/it]
Epoch 31, training loss 0.127:  51%|█████     | 93/183 [01:54<01:50,  1.23s/it]
Epoch 31, training loss 0.128:  51%|█████     | 93/183 [01:55<01:51,  1.24s/it]
Epoch 31, training loss 0.128:  51%|█████▏    | 94/183 [01:55<01:49,  1.23s/it]
Epoch 31, training loss 0.127:  51%|█████▏    | 94/183 [01:56<01:50,  1.24s/it]
Epoch 31, training loss 0.127:  52%|█████▏    | 95/183 [01:56<01:48,  1.23s/it]
Epoch 31, training loss 0.127:  52%|█████▏    | 95/183 [01:57<01:48,  1.24s/it]
Epoch 31, training loss 0.127:  52%|█████▏    | 96/183 [01:58<01:46,  1.23s/it]
Epoch 31, training loss 0.126:  52%|█████▏    | 96/183 [01:58<01:47,  1.24s/it]
Epoch 31, training loss 0.126:  53%|█████▎    | 97/183 [01:59<01:45,  1.23s/it]
Epoch 31, training loss 0.125:  53%|█████▎    | 97/183 [01:59<01:46,  1.24s/it]
Epoch 31, training loss 0.125:  54%|█████▎    | 98/183 [02:00<01:44,  1.23s/it]
Epoch 31, training loss 0.124:  54%|█████▎    | 98/183 [02:00<01:44,  1.23s/it]
Epoch 31, training loss 0.124:  54%|█████▍    | 99/183 [02:01<01:43,  1.23s/it]
Epoch 31, training loss 0.123:  54%|█████▍    | 99/183 [02:02<01:43,  1.23s/it]
Epoch 31, training loss 0.123:  55%|█████▍    | 100/183 [02:02<01:41,  1.23s/it]
Epoch 31, training loss 0.123:  55%|█████▍    | 100/183 [02:03<01:42,  1.23s/it]
Epoch 31, training loss 0.123:  55%|█████▌    | 101/183 [02:03<01:40,  1.23s/it]
Epoch 31, training loss 0.122:  55%|█████▌    | 101/183 [02:04<01:41,  1.23s/it]
Epoch 31, training loss 0.122:  56%|█████▌    | 102/183 [02:04<01:39,  1.23s/it]
Epoch 31, training loss 0.123:  56%|█████▌    | 102/183 [02:05<01:39,  1.23s/it]
Epoch 31, training loss 0.123:  56%|█████▋    | 103/183 [02:06<01:37,  1.22s/it]
Epoch 31, training loss 0.122:  56%|█████▋    | 103/183 [02:06<01:38,  1.23s/it]
Epoch 31, training loss 0.122:  57%|█████▋    | 104/183 [02:07<01:36,  1.22s/it]
Epoch 31, training loss 0.122:  57%|█████▋    | 104/183 [02:07<01:37,  1.23s/it]
Epoch 31, training loss 0.122:  57%|█████▋    | 105/183 [02:08<01:35,  1.22s/it]
Epoch 31, training loss 0.122:  57%|█████▋    | 105/183 [02:09<01:35,  1.23s/it]
Epoch 31, training loss 0.122:  58%|█████▊    | 106/183 [02:09<01:34,  1.22s/it]
Epoch 31, training loss 0.122:  58%|█████▊    | 106/183 [02:10<01:34,  1.23s/it]
Epoch 31, training loss 0.122:  58%|█████▊    | 107/183 [02:10<01:32,  1.22s/it]
Epoch 31, training loss 0.123:  58%|█████▊    | 107/183 [02:11<01:33,  1.23s/it]
Epoch 31, training loss 0.123:  59%|█████▉    | 108/183 [02:11<01:31,  1.22s/it]
Epoch 31, training loss 0.123:  59%|█████▉    | 108/183 [02:12<01:32,  1.23s/it]
Epoch 31, training loss 0.123:  60%|█████▉    | 109/183 [02:13<01:30,  1.22s/it]
Epoch 31, training loss 0.122:  60%|█████▉    | 109/183 [02:13<01:30,  1.23s/it]
Epoch 31, training loss 0.122:  60%|██████    | 110/183 [02:14<01:29,  1.22s/it]
Epoch 31, training loss 0.121:  60%|██████    | 110/183 [02:15<01:29,  1.23s/it]
Epoch 31, training loss 0.121:  61%|██████    | 111/183 [02:15<01:27,  1.22s/it]
Epoch 31, training loss 0.121:  61%|██████    | 111/183 [02:16<01:28,  1.23s/it]
Epoch 31, training loss 0.121:  61%|██████    | 112/183 [02:16<01:26,  1.22s/it]
Epoch 31, training loss 0.121:  61%|██████    | 112/183 [02:17<01:27,  1.23s/it]
Epoch 31, training loss 0.121:  62%|██████▏   | 113/183 [02:17<01:25,  1.22s/it]
Epoch 31, training loss 0.121:  62%|██████▏   | 113/183 [02:18<01:25,  1.23s/it]
Epoch 31, training loss 0.121:  62%|██████▏   | 114/183 [02:19<01:24,  1.22s/it]
Epoch 31, training loss 0.120:  62%|██████▏   | 114/183 [02:19<01:24,  1.22s/it]
Epoch 31, training loss 0.120:  63%|██████▎   | 115/183 [02:20<01:22,  1.22s/it]
Epoch 31, training loss 0.120:  63%|██████▎   | 115/183 [02:20<01:23,  1.22s/it]
Epoch 31, training loss 0.120:  63%|██████▎   | 116/183 [02:21<01:21,  1.22s/it]
Epoch 31, training loss 0.119:  63%|██████▎   | 116/183 [02:21<01:21,  1.22s/it]
Epoch 31, training loss 0.119:  64%|██████▍   | 117/183 [02:22<01:20,  1.22s/it]
Epoch 31, training loss 0.119:  64%|██████▍   | 117/183 [02:23<01:20,  1.22s/it]
Epoch 31, training loss 0.119:  64%|██████▍   | 118/183 [02:23<01:19,  1.22s/it]
Epoch 31, training loss 0.118:  64%|██████▍   | 118/183 [02:24<01:19,  1.22s/it]
Epoch 31, training loss 0.118:  65%|██████▌   | 119/183 [02:24<01:17,  1.22s/it]
Epoch 31, training loss 0.118:  65%|██████▌   | 119/183 [02:25<01:18,  1.22s/it]
Epoch 31, training loss 0.118:  66%|██████▌   | 120/183 [02:26<01:16,  1.22s/it]
Epoch 31, training loss 0.117:  66%|██████▌   | 120/183 [02:26<01:17,  1.22s/it]
Epoch 31, training loss 0.117:  66%|██████▌   | 121/183 [02:27<01:15,  1.22s/it]
Epoch 31, training loss 0.117:  66%|██████▌   | 121/183 [02:27<01:15,  1.22s/it]
Epoch 31, training loss 0.117:  67%|██████▋   | 122/183 [02:28<01:14,  1.22s/it]
Epoch 31, training loss 0.119:  67%|██████▋   | 122/183 [02:29<01:14,  1.22s/it]
Epoch 31, training loss 0.119:  67%|██████▋   | 123/183 [02:29<01:12,  1.22s/it]
Epoch 31, training loss 0.119:  67%|██████▋   | 123/183 [02:30<01:13,  1.22s/it]
Epoch 31, training loss 0.119:  68%|██████▊   | 124/183 [02:30<01:11,  1.22s/it]
Epoch 31, training loss 0.119:  68%|██████▊   | 124/183 [02:31<01:12,  1.22s/it]
Epoch 31, training loss 0.119:  68%|██████▊   | 125/183 [02:32<01:10,  1.22s/it]
Epoch 31, training loss 0.121:  68%|██████▊   | 125/183 [02:32<01:10,  1.22s/it]
Epoch 31, training loss 0.121:  69%|██████▉   | 126/183 [02:33<01:09,  1.22s/it]
Epoch 31, training loss 0.121:  69%|██████▉   | 126/183 [02:33<01:09,  1.22s/it]
Epoch 31, training loss 0.121:  69%|██████▉   | 127/183 [02:34<01:08,  1.21s/it]
Epoch 31, training loss 0.121:  69%|██████▉   | 127/183 [02:34<01:08,  1.22s/it]
Epoch 31, training loss 0.121:  70%|██████▉   | 128/183 [02:35<01:06,  1.21s/it]
Epoch 31, training loss 0.120:  70%|██████▉   | 128/183 [02:36<01:07,  1.22s/it]
Epoch 31, training loss 0.120:  70%|███████   | 129/183 [02:36<01:05,  1.21s/it]
Epoch 31, training loss 0.119:  70%|███████   | 129/183 [02:37<01:05,  1.22s/it]
Epoch 31, training loss 0.119:  71%|███████   | 130/183 [02:37<01:04,  1.21s/it]
Epoch 31, training loss 0.119:  71%|███████   | 130/183 [02:38<01:04,  1.22s/it]
Epoch 31, training loss 0.119:  72%|███████▏  | 131/183 [02:38<01:03,  1.21s/it]
Epoch 31, training loss 0.118:  72%|███████▏  | 131/183 [02:39<01:03,  1.22s/it]
Epoch 31, training loss 0.118:  72%|███████▏  | 132/183 [02:39<01:01,  1.21s/it]
Epoch 31, training loss 0.118:  72%|███████▏  | 132/183 [02:40<01:02,  1.22s/it]
Epoch 31, training loss 0.118:  73%|███████▎  | 133/183 [02:41<01:00,  1.21s/it]
Epoch 31, training loss 0.118:  73%|███████▎  | 133/183 [02:41<01:00,  1.22s/it]
Epoch 31, training loss 0.118:  73%|███████▎  | 134/183 [02:42<00:59,  1.21s/it]
Epoch 31, training loss 0.117:  73%|███████▎  | 134/183 [02:43<00:59,  1.22s/it]
Epoch 31, training loss 0.117:  74%|███████▍  | 135/183 [02:43<00:58,  1.21s/it]
Epoch 31, training loss 0.117:  74%|███████▍  | 135/183 [02:44<00:58,  1.22s/it]
Epoch 31, training loss 0.117:  74%|███████▍  | 136/183 [02:44<00:56,  1.21s/it]
Epoch 31, training loss 0.118:  74%|███████▍  | 136/183 [02:45<00:57,  1.22s/it]
Epoch 31, training loss 0.118:  75%|███████▍  | 137/183 [02:45<00:55,  1.21s/it]
Epoch 31, training loss 0.117:  75%|███████▍  | 137/183 [02:46<00:55,  1.22s/it]
Epoch 31, training loss 0.117:  75%|███████▌  | 138/183 [02:47<00:54,  1.21s/it]
Epoch 31, training loss 0.119:  75%|███████▌  | 138/183 [02:47<00:54,  1.22s/it]
Epoch 31, training loss 0.119:  76%|███████▌  | 139/183 [02:48<00:53,  1.21s/it]
Epoch 31, training loss 0.118:  76%|███████▌  | 139/183 [02:49<00:53,  1.22s/it]
Epoch 31, training loss 0.118:  77%|███████▋  | 140/183 [02:49<00:52,  1.21s/it]
Epoch 31, training loss 0.118:  77%|███████▋  | 140/183 [02:50<00:52,  1.22s/it]
Epoch 31, training loss 0.118:  77%|███████▋  | 141/183 [02:50<00:50,  1.21s/it]
Epoch 31, training loss 0.118:  77%|███████▋  | 141/183 [02:51<00:51,  1.22s/it]
Epoch 31, training loss 0.118:  78%|███████▊  | 142/183 [02:52<00:49,  1.21s/it]
Epoch 31, training loss 0.117:  78%|███████▊  | 142/183 [02:52<00:49,  1.22s/it]
Epoch 31, training loss 0.117:  78%|███████▊  | 143/183 [02:53<00:48,  1.21s/it]
Epoch 31, training loss 0.117:  78%|███████▊  | 143/183 [02:53<00:48,  1.21s/it]
Epoch 31, training loss 0.117:  79%|███████▊  | 144/183 [02:54<00:47,  1.21s/it]
Epoch 31, training loss 0.117:  79%|███████▊  | 144/183 [02:54<00:47,  1.21s/it]
Epoch 31, training loss 0.117:  79%|███████▉  | 145/183 [02:55<00:45,  1.21s/it]
Epoch 31, training loss 0.116:  79%|███████▉  | 145/183 [02:55<00:46,  1.21s/it]
Epoch 31, training loss 0.116:  80%|███████▉  | 146/183 [02:56<00:44,  1.21s/it]
Epoch 31, training loss 0.116:  80%|███████▉  | 146/183 [02:57<00:44,  1.21s/it]
Epoch 31, training loss 0.116:  80%|████████  | 147/183 [02:57<00:43,  1.21s/it]
Epoch 31, training loss 0.116:  80%|████████  | 147/183 [02:58<00:43,  1.21s/it]
Epoch 31, training loss 0.116:  81%|████████  | 148/183 [02:58<00:42,  1.21s/it]
Epoch 31, training loss 0.116:  81%|████████  | 148/183 [02:59<00:42,  1.21s/it]
Epoch 31, training loss 0.116:  81%|████████▏ | 149/183 [02:59<00:41,  1.21s/it]
Epoch 31, training loss 0.116:  81%|████████▏ | 149/183 [03:00<00:41,  1.21s/it]
Epoch 31, training loss 0.116:  82%|████████▏ | 150/183 [03:01<00:39,  1.21s/it]
Epoch 31, training loss 0.116:  82%|████████▏ | 150/183 [03:01<00:39,  1.21s/it]
Epoch 31, training loss 0.116:  83%|████████▎ | 151/183 [03:02<00:38,  1.21s/it]
Epoch 31, training loss 0.118:  83%|████████▎ | 151/183 [03:03<00:38,  1.21s/it]
Epoch 31, training loss 0.118:  83%|████████▎ | 152/183 [03:03<00:37,  1.21s/it]
Epoch 31, training loss 0.118:  83%|████████▎ | 152/183 [03:04<00:37,  1.21s/it]
Epoch 31, training loss 0.118:  84%|████████▎ | 153/183 [03:04<00:36,  1.21s/it]
Epoch 31, training loss 0.118:  84%|████████▎ | 153/183 [03:05<00:36,  1.21s/it]
Epoch 31, training loss 0.118:  84%|████████▍ | 154/183 [03:05<00:34,  1.21s/it]
Epoch 31, training loss 0.118:  84%|████████▍ | 154/183 [03:06<00:35,  1.21s/it]
Epoch 31, training loss 0.118:  85%|████████▍ | 155/183 [03:07<00:33,  1.21s/it]
Epoch 31, training loss 0.117:  85%|████████▍ | 155/183 [03:07<00:33,  1.21s/it]
Epoch 31, training loss 0.117:  85%|████████▌ | 156/183 [03:08<00:32,  1.21s/it]
Epoch 31, training loss 0.116:  85%|████████▌ | 156/183 [03:08<00:32,  1.21s/it]
Epoch 31, training loss 0.116:  86%|████████▌ | 157/183 [03:09<00:31,  1.21s/it]
Epoch 31, training loss 0.117:  86%|████████▌ | 157/183 [03:10<00:31,  1.21s/it]
Epoch 31, training loss 0.117:  86%|████████▋ | 158/183 [03:10<00:30,  1.21s/it]
Epoch 31, training loss 0.117:  86%|████████▋ | 158/183 [03:11<00:30,  1.21s/it]
Epoch 31, training loss 0.117:  87%|████████▋ | 159/183 [03:11<00:28,  1.21s/it]
Epoch 31, training loss 0.117:  87%|████████▋ | 159/183 [03:12<00:29,  1.21s/it]
Epoch 31, training loss 0.117:  87%|████████▋ | 160/183 [03:12<00:27,  1.21s/it]
Epoch 31, training loss 0.116:  87%|████████▋ | 160/183 [03:13<00:27,  1.21s/it]
Epoch 31, training loss 0.116:  88%|████████▊ | 161/183 [03:14<00:26,  1.21s/it]
Epoch 31, training loss 0.116:  88%|████████▊ | 161/183 [03:14<00:26,  1.21s/it]
Epoch 31, training loss 0.116:  89%|████████▊ | 162/183 [03:15<00:25,  1.21s/it]
Epoch 31, training loss 0.116:  89%|████████▊ | 162/183 [03:15<00:25,  1.21s/it]
Epoch 31, training loss 0.116:  89%|████████▉ | 163/183 [03:16<00:24,  1.21s/it]
Epoch 31, training loss 0.115:  89%|████████▉ | 163/183 [03:17<00:24,  1.21s/it]
Epoch 31, training loss 0.115:  90%|████████▉ | 164/183 [03:17<00:22,  1.21s/it]
Epoch 31, training loss 0.115:  90%|████████▉ | 164/183 [03:18<00:22,  1.21s/it]
Epoch 31, training loss 0.115:  90%|█████████ | 165/183 [03:18<00:21,  1.21s/it]
Epoch 31, training loss 0.114:  90%|█████████ | 165/183 [03:19<00:21,  1.21s/it]
Epoch 31, training loss 0.114:  91%|█████████ | 166/183 [03:19<00:20,  1.20s/it]
Epoch 31, training loss 0.114:  91%|█████████ | 166/183 [03:20<00:20,  1.21s/it]
Epoch 31, training loss 0.114:  91%|█████████▏| 167/183 [03:21<00:19,  1.20s/it]
Epoch 31, training loss 0.114:  91%|█████████▏| 167/183 [03:21<00:19,  1.21s/it]
Epoch 31, training loss 0.114:  92%|█████████▏| 168/183 [03:22<00:18,  1.20s/it]
Epoch 31, training loss 0.114:  92%|█████████▏| 168/183 [03:23<00:18,  1.21s/it]
Epoch 31, training loss 0.114:  92%|█████████▏| 169/183 [03:23<00:16,  1.20s/it]
Epoch 31, training loss 0.114:  92%|█████████▏| 169/183 [03:24<00:16,  1.21s/it]
Epoch 31, training loss 0.114:  93%|█████████▎| 170/183 [03:24<00:15,  1.20s/it]
Epoch 31, training loss 0.114:  93%|█████████▎| 170/183 [03:25<00:15,  1.21s/it]
Epoch 31, training loss 0.114:  93%|█████████▎| 171/183 [03:25<00:14,  1.20s/it]
Epoch 31, training loss 0.114:  93%|█████████▎| 171/183 [03:26<00:14,  1.21s/it]
Epoch 31, training loss 0.114:  94%|█████████▍| 172/183 [03:26<00:13,  1.20s/it]
Epoch 31, training loss 0.114:  94%|█████████▍| 172/183 [03:27<00:13,  1.21s/it]
Epoch 31, training loss 0.114:  95%|█████████▍| 173/183 [03:28<00:12,  1.20s/it]
Epoch 31, training loss 0.114:  95%|█████████▍| 173/183 [03:28<00:12,  1.21s/it]
Epoch 31, training loss 0.114:  95%|█████████▌| 174/183 [03:29<00:10,  1.20s/it]
Epoch 31, training loss 0.114:  95%|█████████▌| 174/183 [03:29<00:10,  1.21s/it]
Epoch 31, training loss 0.114:  96%|█████████▌| 175/183 [03:30<00:09,  1.20s/it]
Epoch 31, training loss 0.114:  96%|█████████▌| 175/183 [03:30<00:09,  1.21s/it]
Epoch 31, training loss 0.114:  96%|█████████▌| 176/183 [03:31<00:08,  1.20s/it]
Epoch 31, training loss 0.113:  96%|█████████▌| 176/183 [03:32<00:08,  1.21s/it]
Epoch 31, training loss 0.113:  97%|█████████▋| 177/183 [03:32<00:07,  1.20s/it]
Epoch 31, training loss 0.113:  97%|█████████▋| 177/183 [03:33<00:07,  1.20s/it]
Epoch 31, training loss 0.113:  97%|█████████▋| 178/183 [03:33<00:06,  1.20s/it]
Epoch 31, training loss 0.113:  97%|█████████▋| 178/183 [03:34<00:06,  1.20s/it]
Epoch 31, training loss 0.113:  98%|█████████▊| 179/183 [03:34<00:04,  1.20s/it]
Epoch 31, training loss 0.113:  98%|█████████▊| 179/183 [03:35<00:04,  1.20s/it]
Epoch 31, training loss 0.113:  98%|█████████▊| 180/183 [03:35<00:03,  1.20s/it]
Epoch 31, training loss 0.112:  98%|█████████▊| 180/183 [03:36<00:03,  1.20s/it]
Epoch 31, training loss 0.112:  99%|█████████▉| 181/183 [03:37<00:02,  1.20s/it]
Epoch 31, training loss 0.112:  99%|█████████▉| 181/183 [03:37<00:02,  1.20s/it]
Epoch 31, training loss 0.112:  99%|█████████▉| 182/183 [03:38<00:01,  1.20s/it]
Epoch 31, training loss 0.112:  99%|█████████▉| 182/183 [03:38<00:01,  1.20s/it]
Epoch 31, training loss 0.112: 100%|██████████| 183/183 [03:39<00:00,  1.20s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.543:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.543:   1%|          | 1/91 [00:04<06:54,  4.60s/it]
Epoch 31, validation pixAcc: 0.977, mIoU: 0.700:   1%|          | 1/91 [00:04<07:29,  4.99s/it]
Epoch 31, validation pixAcc: 0.977, mIoU: 0.700:   2%|▏         | 2/91 [00:04<03:42,  2.50s/it]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.790:   2%|▏         | 2/91 [00:05<04:02,  2.72s/it]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.790:   3%|▎         | 3/91 [00:05<02:39,  1.82s/it]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.798:   3%|▎         | 3/91 [00:05<02:53,  1.97s/it]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.798:   4%|▍         | 4/91 [00:05<02:08,  1.48s/it]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.900:   4%|▍         | 4/91 [00:06<02:18,  1.59s/it]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.900:   5%|▌         | 5/91 [00:06<01:49,  1.27s/it]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.902:   5%|▌         | 5/91 [00:06<01:57,  1.36s/it]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.902:   7%|▋         | 6/91 [00:06<01:36,  1.14s/it]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.896:   7%|▋         | 6/91 [00:07<01:43,  1.22s/it]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.896:   8%|▊         | 7/91 [00:07<01:27,  1.04s/it]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.895:   8%|▊         | 7/91 [00:07<01:32,  1.11s/it]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.895:   9%|▉         | 8/91 [00:07<01:20,  1.03it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.896:   9%|▉         | 8/91 [00:08<01:24,  1.02s/it]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.896:  10%|▉         | 9/91 [00:08<01:14,  1.10it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.907:  10%|▉         | 9/91 [00:08<01:18,  1.04it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.907:  11%|█         | 10/91 [00:08<01:10,  1.16it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.905:  11%|█         | 10/91 [00:09<01:13,  1.10it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.905:  12%|█▏        | 11/91 [00:09<01:06,  1.21it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.903:  12%|█▏        | 11/91 [00:09<01:09,  1.16it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.903:  13%|█▎        | 12/91 [00:09<01:02,  1.26it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.904:  13%|█▎        | 12/91 [00:09<01:05,  1.20it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.904:  14%|█▍        | 13/91 [00:09<00:59,  1.31it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.912:  14%|█▍        | 13/91 [00:10<01:01,  1.26it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.912:  15%|█▌        | 14/91 [00:10<00:56,  1.36it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.912:  15%|█▌        | 14/91 [00:10<00:59,  1.30it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.912:  16%|█▋        | 15/91 [00:10<00:54,  1.40it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.916:  16%|█▋        | 15/91 [00:11<00:56,  1.34it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.916:  18%|█▊        | 16/91 [00:11<00:52,  1.43it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.916:  18%|█▊        | 16/91 [00:11<00:54,  1.38it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.916:  19%|█▊        | 17/91 [00:11<00:50,  1.47it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.913:  19%|█▊        | 17/91 [00:12<00:52,  1.41it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.913:  20%|█▉        | 18/91 [00:12<00:48,  1.50it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.908:  20%|█▉        | 18/91 [00:12<00:50,  1.45it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.908:  21%|██        | 19/91 [00:12<00:47,  1.53it/s]
Epoch 31, validation pixAcc: 0.977, mIoU: 0.905:  21%|██        | 19/91 [00:12<00:48,  1.47it/s]
Epoch 31, validation pixAcc: 0.977, mIoU: 0.905:  22%|██▏       | 20/91 [00:12<00:45,  1.55it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.907:  22%|██▏       | 20/91 [00:13<00:47,  1.50it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.907:  23%|██▎       | 21/91 [00:13<00:44,  1.57it/s]
Epoch 31, validation pixAcc: 0.977, mIoU: 0.904:  23%|██▎       | 21/91 [00:13<00:45,  1.52it/s]
Epoch 31, validation pixAcc: 0.977, mIoU: 0.904:  24%|██▍       | 22/91 [00:13<00:43,  1.60it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.906:  24%|██▍       | 22/91 [00:14<00:44,  1.55it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.906:  25%|██▌       | 23/91 [00:14<00:42,  1.62it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.906:  25%|██▌       | 23/91 [00:14<00:43,  1.57it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.906:  26%|██▋       | 24/91 [00:14<00:40,  1.64it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.907:  26%|██▋       | 24/91 [00:15<00:42,  1.59it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.907:  27%|██▋       | 25/91 [00:15<00:39,  1.66it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.907:  27%|██▋       | 25/91 [00:15<00:40,  1.62it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.907:  29%|██▊       | 26/91 [00:15<00:38,  1.68it/s]
Epoch 31, validation pixAcc: 0.977, mIoU: 0.909:  29%|██▊       | 26/91 [00:15<00:39,  1.64it/s]
Epoch 31, validation pixAcc: 0.977, mIoU: 0.909:  30%|██▉       | 27/91 [00:15<00:37,  1.70it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.911:  30%|██▉       | 27/91 [00:16<00:38,  1.66it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.911:  31%|███       | 28/91 [00:16<00:36,  1.72it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.910:  31%|███       | 28/91 [00:16<00:37,  1.68it/s]
Epoch 31, validation pixAcc: 0.978, mIoU: 0.910:  32%|███▏      | 29/91 [00:16<00:35,  1.74it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.912:  32%|███▏      | 29/91 [00:17<00:36,  1.70it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.912:  33%|███▎      | 30/91 [00:17<00:34,  1.75it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.913:  33%|███▎      | 30/91 [00:17<00:35,  1.71it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.913:  34%|███▍      | 31/91 [00:17<00:33,  1.77it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.914:  34%|███▍      | 31/91 [00:17<00:34,  1.73it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.914:  35%|███▌      | 32/91 [00:17<00:33,  1.79it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.915:  35%|███▌      | 32/91 [00:18<00:33,  1.74it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.915:  36%|███▋      | 33/91 [00:18<00:32,  1.80it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.916:  36%|███▋      | 33/91 [00:18<00:33,  1.76it/s]
Epoch 31, validation pixAcc: 0.979, mIoU: 0.916:  37%|███▋      | 34/91 [00:18<00:31,  1.81it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.915:  37%|███▋      | 34/91 [00:19<00:32,  1.77it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.915:  38%|███▊      | 35/91 [00:19<00:30,  1.82it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.916:  38%|███▊      | 35/91 [00:19<00:31,  1.78it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.916:  40%|███▉      | 36/91 [00:19<00:29,  1.84it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.916:  40%|███▉      | 36/91 [00:20<00:30,  1.80it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.916:  41%|████      | 37/91 [00:20<00:29,  1.85it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.916:  41%|████      | 37/91 [00:20<00:29,  1.81it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.916:  42%|████▏     | 38/91 [00:20<00:28,  1.86it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.917:  42%|████▏     | 38/91 [00:20<00:29,  1.82it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.917:  43%|████▎     | 39/91 [00:20<00:27,  1.87it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.918:  43%|████▎     | 39/91 [00:21<00:28,  1.83it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.918:  44%|████▍     | 40/91 [00:21<00:27,  1.88it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.917:  44%|████▍     | 40/91 [00:21<00:27,  1.84it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.917:  45%|████▌     | 41/91 [00:21<00:26,  1.88it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.918:  45%|████▌     | 41/91 [00:22<00:27,  1.84it/s]
Epoch 31, validation pixAcc: 0.980, mIoU: 0.918:  46%|████▌     | 42/91 [00:22<00:25,  1.89it/s]
Epoch 31, validation pixAcc: 0.981, mIoU: 0.918:  46%|████▌     | 42/91 [00:22<00:26,  1.85it/s]
Epoch 31, validation pixAcc: 0.981, mIoU: 0.918:  47%|████▋     | 43/91 [00:22<00:25,  1.90it/s]
Epoch 31, validation pixAcc: 0.981, mIoU: 0.919:  47%|████▋     | 43/91 [00:23<00:25,  1.86it/s]
Epoch 31, validation pixAcc: 0.981, mIoU: 0.919:  48%|████▊     | 44/91 [00:23<00:24,  1.90it/s]
Epoch 31, validation pixAcc: 0.981, mIoU: 0.919:  48%|████▊     | 44/91 [00:23<00:25,  1.87it/s]
Epoch 31, validation pixAcc: 0.981, mIoU: 0.919:  49%|████▉     | 45/91 [00:23<00:24,  1.91it/s]
Epoch 31, validation pixAcc: 0.981, mIoU: 0.920:  49%|████▉     | 45/91 [00:24<00:24,  1.87it/s]
Epoch 31, validation pixAcc: 0.981, mIoU: 0.920:  51%|█████     | 46/91 [00:24<00:23,  1.91it/s]
Epoch 31, validation pixAcc: 0.981, mIoU: 0.920:  51%|█████     | 46/91 [00:24<00:23,  1.88it/s]
Epoch 31, validation pixAcc: 0.981, mIoU: 0.920:  52%|█████▏    | 47/91 [00:24<00:22,  1.92it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  52%|█████▏    | 47/91 [00:24<00:23,  1.89it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  53%|█████▎    | 48/91 [00:24<00:22,  1.93it/s]
Epoch 31, validation pixAcc: 0.981, mIoU: 0.919:  53%|█████▎    | 48/91 [00:25<00:22,  1.89it/s]
Epoch 31, validation pixAcc: 0.981, mIoU: 0.919:  54%|█████▍    | 49/91 [00:25<00:21,  1.93it/s]
Epoch 31, validation pixAcc: 0.981, mIoU: 0.919:  54%|█████▍    | 49/91 [00:25<00:22,  1.90it/s]
Epoch 31, validation pixAcc: 0.981, mIoU: 0.919:  55%|█████▍    | 50/91 [00:25<00:21,  1.94it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  55%|█████▍    | 50/91 [00:26<00:21,  1.90it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  56%|█████▌    | 51/91 [00:26<00:20,  1.94it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  56%|█████▌    | 51/91 [00:26<00:20,  1.91it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  57%|█████▋    | 52/91 [00:26<00:20,  1.95it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.921:  57%|█████▋    | 52/91 [00:27<00:20,  1.91it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.921:  58%|█████▊    | 53/91 [00:27<00:19,  1.95it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.919:  58%|█████▊    | 53/91 [00:27<00:19,  1.92it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.919:  59%|█████▉    | 54/91 [00:27<00:18,  1.96it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.919:  59%|█████▉    | 54/91 [00:28<00:19,  1.93it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.919:  60%|██████    | 55/91 [00:28<00:18,  1.96it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  60%|██████    | 55/91 [00:28<00:18,  1.93it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  62%|██████▏   | 56/91 [00:28<00:17,  1.97it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  62%|██████▏   | 56/91 [00:28<00:18,  1.94it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  63%|██████▎   | 57/91 [00:28<00:17,  1.98it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  63%|██████▎   | 57/91 [00:29<00:17,  1.95it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  64%|██████▎   | 58/91 [00:29<00:16,  1.98it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  64%|██████▎   | 58/91 [00:29<00:16,  1.95it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  65%|██████▍   | 59/91 [00:29<00:16,  1.98it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  65%|██████▍   | 59/91 [00:30<00:16,  1.95it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.920:  66%|██████▌   | 60/91 [00:30<00:15,  1.99it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.921:  66%|██████▌   | 60/91 [00:30<00:15,  1.96it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.921:  67%|██████▋   | 61/91 [00:30<00:15,  1.99it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.921:  67%|██████▋   | 61/91 [00:31<00:15,  1.96it/s]
Epoch 31, validation pixAcc: 0.982, mIoU: 0.921:  68%|██████▊   | 62/91 [00:31<00:14,  2.00it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.921:  68%|██████▊   | 62/91 [00:31<00:14,  1.97it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.921:  69%|██████▉   | 63/91 [00:31<00:13,  2.00it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.922:  69%|██████▉   | 63/91 [00:31<00:14,  1.97it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.922:  70%|███████   | 64/91 [00:31<00:13,  2.01it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.922:  70%|███████   | 64/91 [00:32<00:13,  1.98it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.922:  71%|███████▏  | 65/91 [00:32<00:12,  2.01it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  71%|███████▏  | 65/91 [00:32<00:13,  1.99it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  73%|███████▎  | 66/91 [00:32<00:12,  2.02it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  73%|███████▎  | 66/91 [00:33<00:12,  1.99it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  74%|███████▎  | 67/91 [00:33<00:11,  2.02it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.922:  74%|███████▎  | 67/91 [00:33<00:12,  2.00it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.922:  75%|███████▍  | 68/91 [00:33<00:11,  2.03it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  75%|███████▍  | 68/91 [00:33<00:11,  2.00it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  76%|███████▌  | 69/91 [00:33<00:10,  2.03it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  76%|███████▌  | 69/91 [00:34<00:10,  2.00it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  77%|███████▋  | 70/91 [00:34<00:10,  2.03it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  77%|███████▋  | 70/91 [00:34<00:10,  2.01it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  78%|███████▊  | 71/91 [00:34<00:09,  2.04it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  78%|███████▊  | 71/91 [00:35<00:09,  2.01it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  79%|███████▉  | 72/91 [00:35<00:09,  2.04it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  79%|███████▉  | 72/91 [00:35<00:09,  2.01it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  80%|████████  | 73/91 [00:35<00:08,  2.04it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  80%|████████  | 73/91 [00:36<00:08,  2.02it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.923:  81%|████████▏ | 74/91 [00:36<00:08,  2.05it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.924:  81%|████████▏ | 74/91 [00:36<00:08,  2.02it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.924:  82%|████████▏ | 75/91 [00:36<00:07,  2.05it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.924:  82%|████████▏ | 75/91 [00:37<00:07,  2.03it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.924:  84%|████████▎ | 76/91 [00:37<00:07,  2.05it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.924:  84%|████████▎ | 76/91 [00:37<00:07,  2.03it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.924:  85%|████████▍ | 77/91 [00:37<00:06,  2.06it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.924:  85%|████████▍ | 77/91 [00:37<00:06,  2.03it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.924:  86%|████████▌ | 78/91 [00:37<00:06,  2.06it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.924:  86%|████████▌ | 78/91 [00:38<00:06,  2.03it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.924:  87%|████████▋ | 79/91 [00:38<00:05,  2.06it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.925:  87%|████████▋ | 79/91 [00:38<00:05,  2.04it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.925:  88%|████████▊ | 80/91 [00:38<00:05,  2.06it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.925:  88%|████████▊ | 80/91 [00:39<00:05,  2.04it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.925:  89%|████████▉ | 81/91 [00:39<00:04,  2.07it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  89%|████████▉ | 81/91 [00:39<00:04,  2.04it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  90%|█████████ | 82/91 [00:39<00:04,  2.07it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  90%|█████████ | 82/91 [00:40<00:04,  2.05it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  91%|█████████ | 83/91 [00:40<00:03,  2.07it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  91%|█████████ | 83/91 [00:40<00:03,  2.05it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  92%|█████████▏| 84/91 [00:40<00:03,  2.07it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  92%|█████████▏| 84/91 [00:40<00:03,  2.05it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  93%|█████████▎| 85/91 [00:40<00:02,  2.08it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  93%|█████████▎| 85/91 [00:41<00:02,  2.05it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  95%|█████████▍| 86/91 [00:41<00:02,  2.08it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  95%|█████████▍| 86/91 [00:41<00:02,  2.06it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  96%|█████████▌| 87/91 [00:41<00:01,  2.08it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  96%|█████████▌| 87/91 [00:42<00:01,  2.06it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  97%|█████████▋| 88/91 [00:42<00:01,  2.09it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  97%|█████████▋| 88/91 [00:42<00:01,  2.07it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  98%|█████████▊| 89/91 [00:42<00:00,  2.09it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  98%|█████████▊| 89/91 [00:42<00:00,  2.07it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  99%|█████████▉| 90/91 [00:42<00:00,  2.09it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926:  99%|█████████▉| 90/91 [00:43<00:00,  2.07it/s]
Epoch 31, validation pixAcc: 0.983, mIoU: 0.926: 100%|██████████| 91/91 [00:43<00:00,  2.10it/s]

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Epoch 32, training loss 0.109:   0%|          | 0/182 [00:05<?, ?it/s]
Epoch 32, training loss 0.109:   1%|          | 1/182 [00:05<16:58,  5.63s/it]
Epoch 32, training loss 0.079:   1%|          | 1/182 [00:06<19:05,  6.33s/it]
Epoch 32, training loss 0.079:   1%|          | 2/182 [00:06<10:15,  3.42s/it]
Epoch 32, training loss 0.145:   1%|          | 2/182 [00:07<11:16,  3.76s/it]
Epoch 32, training loss 0.145:   2%|▏         | 3/182 [00:08<07:57,  2.67s/it]
Epoch 32, training loss 0.127:   2%|▏         | 3/182 [00:08<08:39,  2.90s/it]
Epoch 32, training loss 0.127:   2%|▏         | 4/182 [00:09<06:49,  2.30s/it]
Epoch 32, training loss 0.133:   2%|▏         | 4/182 [00:09<07:20,  2.47s/it]
Epoch 32, training loss 0.133:   3%|▎         | 5/182 [00:10<06:07,  2.08s/it]
Epoch 32, training loss 0.321:   3%|▎         | 5/182 [00:11<06:30,  2.21s/it]
Epoch 32, training loss 0.321:   3%|▎         | 6/182 [00:11<05:38,  1.92s/it]
Epoch 32, training loss 0.282:   3%|▎         | 6/182 [00:12<05:56,  2.02s/it]
Epoch 32, training loss 0.282:   4%|▍         | 7/182 [00:12<05:16,  1.81s/it]
Epoch 32, training loss 0.267:   4%|▍         | 7/182 [00:13<05:31,  1.89s/it]
Epoch 32, training loss 0.267:   4%|▍         | 8/182 [00:13<04:59,  1.72s/it]
Epoch 32, training loss 0.260:   4%|▍         | 8/182 [00:14<05:13,  1.80s/it]
Epoch 32, training loss 0.260:   5%|▍         | 9/182 [00:14<04:46,  1.66s/it]
Epoch 32, training loss 0.241:   5%|▍         | 9/182 [00:15<04:58,  1.73s/it]
Epoch 32, training loss 0.241:   5%|▌         | 10/182 [00:16<04:35,  1.60s/it]
Epoch 32, training loss 0.223:   5%|▌         | 10/182 [00:16<04:47,  1.67s/it]
Epoch 32, training loss 0.223:   6%|▌         | 11/182 [00:17<04:27,  1.57s/it]
Epoch 32, training loss 0.207:   6%|▌         | 11/182 [00:17<04:39,  1.63s/it]
Epoch 32, training loss 0.207:   7%|▋         | 12/182 [00:18<04:21,  1.54s/it]
Epoch 32, training loss 0.211:   7%|▋         | 12/182 [00:19<04:31,  1.60s/it]
Epoch 32, training loss 0.211:   7%|▋         | 13/182 [00:19<04:15,  1.51s/it]
Epoch 32, training loss 0.200:   7%|▋         | 13/182 [00:20<04:23,  1.56s/it]
Epoch 32, training loss 0.200:   8%|▊         | 14/182 [00:20<04:09,  1.49s/it]
Epoch 32, training loss 0.192:   8%|▊         | 14/182 [00:21<04:17,  1.53s/it]
Epoch 32, training loss 0.192:   8%|▊         | 15/182 [00:21<04:04,  1.46s/it]
Epoch 32, training loss 0.187:   8%|▊         | 15/182 [00:22<04:11,  1.50s/it]
Epoch 32, training loss 0.187:   9%|▉         | 16/182 [00:23<03:59,  1.44s/it]
Epoch 32, training loss 0.192:   9%|▉         | 16/182 [00:23<04:05,  1.48s/it]
Epoch 32, training loss 0.192:   9%|▉         | 17/182 [00:24<03:54,  1.42s/it]
Epoch 32, training loss 0.183:   9%|▉         | 17/182 [00:24<04:00,  1.46s/it]
Epoch 32, training loss 0.183:  10%|▉         | 18/182 [00:25<03:50,  1.41s/it]
Epoch 32, training loss 0.176:  10%|▉         | 18/182 [00:25<03:56,  1.44s/it]
Epoch 32, training loss 0.176:  10%|█         | 19/182 [00:26<03:46,  1.39s/it]
Epoch 32, training loss 0.171:  10%|█         | 19/182 [00:27<03:52,  1.43s/it]
Epoch 32, training loss 0.171:  11%|█         | 20/182 [00:27<03:43,  1.38s/it]
Epoch 32, training loss 0.167:  11%|█         | 20/182 [00:28<03:49,  1.41s/it]
Epoch 32, training loss 0.167:  12%|█▏        | 21/182 [00:28<03:40,  1.37s/it]
Epoch 32, training loss 0.168:  12%|█▏        | 21/182 [00:29<03:46,  1.41s/it]
Epoch 32, training loss 0.168:  12%|█▏        | 22/182 [00:30<03:38,  1.36s/it]
Epoch 32, training loss 0.169:  12%|█▏        | 22/182 [00:30<03:43,  1.40s/it]
Epoch 32, training loss 0.169:  13%|█▎        | 23/182 [00:31<03:35,  1.36s/it]
Epoch 32, training loss 0.165:  13%|█▎        | 23/182 [00:31<03:39,  1.38s/it]
Epoch 32, training loss 0.165:  13%|█▎        | 24/182 [00:32<03:32,  1.35s/it]
Epoch 32, training loss 0.170:  13%|█▎        | 24/182 [00:33<03:37,  1.38s/it]
Epoch 32, training loss 0.170:  14%|█▎        | 25/182 [00:33<03:30,  1.34s/it]
Epoch 32, training loss 0.167:  14%|█▎        | 25/182 [00:34<03:34,  1.37s/it]
Epoch 32, training loss 0.167:  14%|█▍        | 26/182 [00:34<03:27,  1.33s/it]
Epoch 32, training loss 0.167:  14%|█▍        | 26/182 [00:35<03:31,  1.36s/it]
Epoch 32, training loss 0.167:  15%|█▍        | 27/182 [00:35<03:25,  1.33s/it]
Epoch 32, training loss 0.172:  15%|█▍        | 27/182 [00:36<03:28,  1.35s/it]
Epoch 32, training loss 0.172:  15%|█▌        | 28/182 [00:36<03:22,  1.32s/it]
Epoch 32, training loss 0.171:  15%|█▌        | 28/182 [00:37<03:26,  1.34s/it]
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Epoch 32, training loss 0.168:  16%|█▋        | 30/182 [00:39<03:21,  1.32s/it]
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Epoch 32, training loss 0.164:  17%|█▋        | 31/182 [00:40<03:19,  1.32s/it]
Epoch 32, training loss 0.164:  18%|█▊        | 32/182 [00:41<03:14,  1.29s/it]
Epoch 32, training loss 0.163:  18%|█▊        | 32/182 [00:42<03:17,  1.32s/it]
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Epoch 32, training loss 0.160:  18%|█▊        | 33/182 [00:43<03:15,  1.31s/it]
Epoch 32, training loss 0.160:  19%|█▊        | 34/182 [00:43<03:10,  1.29s/it]
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Epoch 32, training loss 0.158:  19%|█▉        | 35/182 [00:45<03:11,  1.31s/it]
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Epoch 32, training loss 0.155:  20%|██        | 37/182 [00:47<03:07,  1.30s/it]
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Epoch 32, training loss 0.153:  21%|██▏       | 39/182 [00:50<03:04,  1.29s/it]
Epoch 32, training loss 0.153:  22%|██▏       | 40/182 [00:50<03:00,  1.27s/it]
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Epoch 32, training loss 0.153:  23%|██▎       | 41/182 [00:52<02:59,  1.27s/it]
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Epoch 32, training loss 0.151:  23%|██▎       | 42/182 [00:53<02:59,  1.28s/it]
Epoch 32, training loss 0.151:  24%|██▎       | 43/182 [00:54<02:55,  1.27s/it]
Epoch 32, training loss 0.149:  24%|██▎       | 43/182 [00:55<02:58,  1.28s/it]
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Epoch 32, training loss 0.146:  24%|██▍       | 44/182 [00:56<02:56,  1.28s/it]
Epoch 32, training loss 0.146:  25%|██▍       | 45/182 [00:56<02:52,  1.26s/it]
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Epoch 32, training loss 0.146:  25%|██▌       | 46/182 [00:57<02:50,  1.26s/it]
Epoch 32, training loss 0.144:  25%|██▌       | 46/182 [00:58<02:52,  1.27s/it]
Epoch 32, training loss 0.144:  26%|██▌       | 47/182 [00:58<02:49,  1.25s/it]
Epoch 32, training loss 0.143:  26%|██▌       | 47/182 [00:59<02:51,  1.27s/it]
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Epoch 32, training loss 0.142:  26%|██▋       | 48/182 [01:00<02:49,  1.27s/it]
Epoch 32, training loss 0.142:  27%|██▋       | 49/182 [01:01<02:46,  1.25s/it]
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Epoch 32, training loss 0.144:  28%|██▊       | 51/182 [01:03<02:43,  1.25s/it]
Epoch 32, training loss 0.142:  28%|██▊       | 51/182 [01:04<02:45,  1.26s/it]
Epoch 32, training loss 0.142:  29%|██▊       | 52/182 [01:04<02:42,  1.25s/it]
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Epoch 32, training loss 0.142:  29%|██▉       | 53/182 [01:06<02:42,  1.26s/it]
Epoch 32, training loss 0.142:  30%|██▉       | 54/182 [01:07<02:39,  1.24s/it]
Epoch 32, training loss 0.140:  30%|██▉       | 54/182 [01:07<02:40,  1.25s/it]
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Epoch 32, training loss 0.146:  30%|███       | 55/182 [01:08<02:38,  1.25s/it]
Epoch 32, training loss 0.146:  31%|███       | 56/182 [01:09<02:35,  1.24s/it]
Epoch 32, training loss 0.145:  31%|███       | 56/182 [01:10<02:37,  1.25s/it]
Epoch 32, training loss 0.145:  31%|███▏      | 57/182 [01:10<02:34,  1.24s/it]
Epoch 32, training loss 0.143:  31%|███▏      | 57/182 [01:11<02:36,  1.25s/it]
Epoch 32, training loss 0.143:  32%|███▏      | 58/182 [01:11<02:33,  1.24s/it]
Epoch 32, training loss 0.142:  32%|███▏      | 58/182 [01:12<02:34,  1.25s/it]
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Epoch 32, training loss 0.142:  32%|███▏      | 59/182 [01:13<02:33,  1.25s/it]
Epoch 32, training loss 0.142:  33%|███▎      | 60/182 [01:14<02:30,  1.24s/it]
Epoch 32, training loss 0.141:  33%|███▎      | 60/182 [01:14<02:32,  1.25s/it]
Epoch 32, training loss 0.141:  34%|███▎      | 61/182 [01:15<02:29,  1.23s/it]
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Epoch 32, training loss 0.140:  34%|███▍      | 62/182 [01:16<02:27,  1.23s/it]
Epoch 32, training loss 0.140:  34%|███▍      | 62/182 [01:17<02:29,  1.24s/it]
Epoch 32, training loss 0.140:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 32, training loss 0.139:  35%|███▍      | 63/182 [01:18<02:27,  1.24s/it]
Epoch 32, training loss 0.139:  35%|███▌      | 64/182 [01:18<02:25,  1.23s/it]
Epoch 32, training loss 0.140:  35%|███▌      | 64/182 [01:19<02:26,  1.24s/it]
Epoch 32, training loss 0.140:  36%|███▌      | 65/182 [01:19<02:23,  1.23s/it]
Epoch 32, training loss 0.141:  36%|███▌      | 65/182 [01:20<02:25,  1.24s/it]
Epoch 32, training loss 0.141:  36%|███▋      | 66/182 [01:21<02:22,  1.23s/it]
Epoch 32, training loss 0.142:  36%|███▋      | 66/182 [01:21<02:23,  1.24s/it]
Epoch 32, training loss 0.142:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 32, training loss 0.141:  37%|███▋      | 67/182 [01:22<02:22,  1.24s/it]
Epoch 32, training loss 0.141:  37%|███▋      | 68/182 [01:23<02:19,  1.23s/it]
Epoch 32, training loss 0.140:  37%|███▋      | 68/182 [01:24<02:20,  1.24s/it]
Epoch 32, training loss 0.140:  38%|███▊      | 69/182 [01:24<02:18,  1.23s/it]
Epoch 32, training loss 0.139:  38%|███▊      | 69/182 [01:25<02:19,  1.24s/it]
Epoch 32, training loss 0.139:  38%|███▊      | 70/182 [01:25<02:17,  1.23s/it]
Epoch 32, training loss 0.138:  38%|███▊      | 70/182 [01:26<02:18,  1.24s/it]
Epoch 32, training loss 0.138:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 32, training loss 0.140:  39%|███▉      | 71/182 [01:27<02:17,  1.23s/it]
Epoch 32, training loss 0.140:  40%|███▉      | 72/182 [01:28<02:14,  1.22s/it]
Epoch 32, training loss 0.140:  40%|███▉      | 72/182 [01:28<02:15,  1.23s/it]
Epoch 32, training loss 0.140:  40%|████      | 73/182 [01:29<02:13,  1.22s/it]
Epoch 32, training loss 0.140:  40%|████      | 73/182 [01:29<02:14,  1.23s/it]
Epoch 32, training loss 0.140:  41%|████      | 74/182 [01:30<02:12,  1.22s/it]
Epoch 32, training loss 0.142:  41%|████      | 74/182 [01:31<02:12,  1.23s/it]
Epoch 32, training loss 0.142:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 32, training loss 0.142:  41%|████      | 75/182 [01:32<02:11,  1.23s/it]
Epoch 32, training loss 0.142:  42%|████▏     | 76/182 [01:32<02:09,  1.22s/it]
Epoch 32, training loss 0.143:  42%|████▏     | 76/182 [01:33<02:10,  1.23s/it]
Epoch 32, training loss 0.143:  42%|████▏     | 77/182 [01:33<02:07,  1.22s/it]
Epoch 32, training loss 0.141:  42%|████▏     | 77/182 [01:34<02:08,  1.23s/it]
Epoch 32, training loss 0.141:  43%|████▎     | 78/182 [01:34<02:06,  1.22s/it]
Epoch 32, training loss 0.140:  43%|████▎     | 78/182 [01:35<02:07,  1.23s/it]
Epoch 32, training loss 0.140:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
Epoch 32, training loss 0.139:  43%|████▎     | 79/182 [01:36<02:06,  1.22s/it]
Epoch 32, training loss 0.139:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 32, training loss 0.138:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 32, training loss 0.138:  45%|████▍     | 81/182 [01:38<02:02,  1.21s/it]
Epoch 32, training loss 0.138:  45%|████▍     | 81/182 [01:39<02:03,  1.22s/it]
Epoch 32, training loss 0.138:  45%|████▌     | 82/182 [01:39<02:01,  1.22s/it]
Epoch 32, training loss 0.138:  45%|████▌     | 82/182 [01:40<02:02,  1.22s/it]
Epoch 32, training loss 0.138:  46%|████▌     | 83/182 [01:40<02:00,  1.21s/it]
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Epoch 32, training loss 0.137:  46%|████▌     | 84/182 [01:41<01:58,  1.21s/it]
Epoch 32, training loss 0.135:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
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Epoch 32, training loss 0.135:  47%|████▋     | 86/182 [01:44<01:56,  1.21s/it]
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Epoch 32, training loss 0.137:  48%|████▊     | 87/182 [01:45<01:55,  1.21s/it]
Epoch 32, training loss 0.136:  48%|████▊     | 87/182 [01:45<01:55,  1.22s/it]
Epoch 32, training loss 0.136:  48%|████▊     | 88/182 [01:46<01:53,  1.21s/it]
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Epoch 32, training loss 0.135:  49%|████▉     | 89/182 [01:47<01:52,  1.21s/it]
Epoch 32, training loss 0.134:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 32, training loss 0.134:  49%|████▉     | 90/182 [01:48<01:51,  1.21s/it]
Epoch 32, training loss 0.137:  49%|████▉     | 90/182 [01:49<01:51,  1.22s/it]
Epoch 32, training loss 0.137:  50%|█████     | 91/182 [01:49<01:49,  1.21s/it]
Epoch 32, training loss 0.137:  50%|█████     | 91/182 [01:50<01:50,  1.22s/it]
Epoch 32, training loss 0.137:  51%|█████     | 92/182 [01:51<01:48,  1.21s/it]
Epoch 32, training loss 0.136:  51%|█████     | 92/182 [01:51<01:49,  1.22s/it]
Epoch 32, training loss 0.136:  51%|█████     | 93/182 [01:52<01:47,  1.21s/it]
Epoch 32, training loss 0.137:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 32, training loss 0.137:  52%|█████▏    | 94/182 [01:53<01:46,  1.21s/it]
Epoch 32, training loss 0.136:  52%|█████▏    | 94/182 [01:54<01:46,  1.22s/it]
Epoch 32, training loss 0.136:  52%|█████▏    | 95/182 [01:54<01:45,  1.21s/it]
Epoch 32, training loss 0.137:  52%|█████▏    | 95/182 [01:55<01:45,  1.21s/it]
Epoch 32, training loss 0.137:  53%|█████▎    | 96/182 [01:55<01:43,  1.21s/it]
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Epoch 32, training loss 0.136:  53%|█████▎    | 97/182 [01:57<01:42,  1.21s/it]
Epoch 32, training loss 0.135:  53%|█████▎    | 97/182 [01:57<01:43,  1.21s/it]
Epoch 32, training loss 0.135:  54%|█████▍    | 98/182 [01:58<01:41,  1.21s/it]
Epoch 32, training loss 0.135:  54%|█████▍    | 98/182 [01:58<01:41,  1.21s/it]
Epoch 32, training loss 0.135:  54%|█████▍    | 99/182 [01:59<01:40,  1.21s/it]
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Epoch 32, training loss 0.137:  55%|█████▍    | 100/182 [02:00<01:38,  1.21s/it]
Epoch 32, training loss 0.137:  55%|█████▍    | 100/182 [02:01<01:39,  1.21s/it]
Epoch 32, training loss 0.137:  55%|█████▌    | 101/182 [02:01<01:37,  1.21s/it]
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Epoch 32, training loss 0.137:  56%|█████▌    | 102/182 [02:02<01:36,  1.20s/it]
Epoch 32, training loss 0.136:  56%|█████▌    | 102/182 [02:03<01:36,  1.21s/it]
Epoch 32, training loss 0.136:  57%|█████▋    | 103/182 [02:04<01:35,  1.20s/it]
Epoch 32, training loss 0.135:  57%|█████▋    | 103/182 [02:04<01:35,  1.21s/it]
Epoch 32, training loss 0.135:  57%|█████▋    | 104/182 [02:05<01:33,  1.20s/it]
Epoch 32, training loss 0.134:  57%|█████▋    | 104/182 [02:05<01:34,  1.21s/it]
Epoch 32, training loss 0.134:  58%|█████▊    | 105/182 [02:06<01:32,  1.20s/it]
Epoch 32, training loss 0.134:  58%|█████▊    | 105/182 [02:06<01:33,  1.21s/it]
Epoch 32, training loss 0.134:  58%|█████▊    | 106/182 [02:07<01:31,  1.20s/it]
Epoch 32, training loss 0.133:  58%|█████▊    | 106/182 [02:08<01:31,  1.21s/it]
Epoch 32, training loss 0.133:  59%|█████▉    | 107/182 [02:08<01:30,  1.20s/it]
Epoch 32, training loss 0.132:  59%|█████▉    | 107/182 [02:09<01:30,  1.21s/it]
Epoch 32, training loss 0.132:  59%|█████▉    | 108/182 [02:09<01:28,  1.20s/it]
Epoch 32, training loss 0.132:  59%|█████▉    | 108/182 [02:10<01:29,  1.21s/it]
Epoch 32, training loss 0.132:  60%|█████▉    | 109/182 [02:11<01:27,  1.20s/it]
Epoch 32, training loss 0.131:  60%|█████▉    | 109/182 [02:11<01:28,  1.21s/it]
Epoch 32, training loss 0.131:  60%|██████    | 110/182 [02:12<01:26,  1.20s/it]
Epoch 32, training loss 0.132:  60%|██████    | 110/182 [02:12<01:26,  1.21s/it]
Epoch 32, training loss 0.132:  61%|██████    | 111/182 [02:13<01:25,  1.20s/it]
Epoch 32, training loss 0.132:  61%|██████    | 111/182 [02:13<01:25,  1.21s/it]
Epoch 32, training loss 0.132:  62%|██████▏   | 112/182 [02:14<01:24,  1.20s/it]
Epoch 32, training loss 0.132:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 32, training loss 0.132:  62%|██████▏   | 113/182 [02:15<01:22,  1.20s/it]
Epoch 32, training loss 0.132:  62%|██████▏   | 113/182 [02:16<01:23,  1.21s/it]
Epoch 32, training loss 0.132:  63%|██████▎   | 114/182 [02:16<01:21,  1.20s/it]
Epoch 32, training loss 0.132:  63%|██████▎   | 114/182 [02:17<01:22,  1.21s/it]
Epoch 32, training loss 0.132:  63%|██████▎   | 115/182 [02:18<01:20,  1.20s/it]
Epoch 32, training loss 0.131:  63%|██████▎   | 115/182 [02:18<01:20,  1.21s/it]
Epoch 32, training loss 0.131:  64%|██████▎   | 116/182 [02:19<01:19,  1.20s/it]
Epoch 32, training loss 0.130:  64%|██████▎   | 116/182 [02:19<01:19,  1.21s/it]
Epoch 32, training loss 0.130:  64%|██████▍   | 117/182 [02:20<01:17,  1.20s/it]
Epoch 32, training loss 0.131:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 32, training loss 0.131:  65%|██████▍   | 118/182 [02:21<01:16,  1.20s/it]
Epoch 32, training loss 0.131:  65%|██████▍   | 118/182 [02:22<01:17,  1.20s/it]
Epoch 32, training loss 0.131:  65%|██████▌   | 119/182 [02:22<01:15,  1.20s/it]
Epoch 32, training loss 0.132:  65%|██████▌   | 119/182 [02:23<01:15,  1.20s/it]
Epoch 32, training loss 0.132:  66%|██████▌   | 120/182 [02:23<01:14,  1.20s/it]
Epoch 32, training loss 0.131:  66%|██████▌   | 120/182 [02:24<01:14,  1.20s/it]
Epoch 32, training loss 0.131:  66%|██████▋   | 121/182 [02:24<01:13,  1.20s/it]
Epoch 32, training loss 0.131:  66%|██████▋   | 121/182 [02:25<01:13,  1.20s/it]
Epoch 32, training loss 0.131:  67%|██████▋   | 122/182 [02:26<01:11,  1.20s/it]
Epoch 32, training loss 0.130:  67%|██████▋   | 122/182 [02:26<01:12,  1.20s/it]
Epoch 32, training loss 0.130:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 32, training loss 0.130:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 32, training loss 0.130:  68%|██████▊   | 124/182 [02:28<01:09,  1.20s/it]
Epoch 32, training loss 0.131:  68%|██████▊   | 124/182 [02:29<01:09,  1.20s/it]
Epoch 32, training loss 0.131:  69%|██████▊   | 125/182 [02:29<01:08,  1.20s/it]
Epoch 32, training loss 0.131:  69%|██████▊   | 125/182 [02:30<01:08,  1.20s/it]
Epoch 32, training loss 0.131:  69%|██████▉   | 126/182 [02:30<01:07,  1.20s/it]
Epoch 32, training loss 0.130:  69%|██████▉   | 126/182 [02:31<01:07,  1.20s/it]
Epoch 32, training loss 0.130:  70%|██████▉   | 127/182 [02:31<01:05,  1.20s/it]
Epoch 32, training loss 0.129:  70%|██████▉   | 127/182 [02:32<01:06,  1.20s/it]
Epoch 32, training loss 0.129:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 32, training loss 0.129:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 32, training loss 0.129:  71%|███████   | 129/182 [02:34<01:03,  1.20s/it]
Epoch 32, training loss 0.130:  71%|███████   | 129/182 [02:35<01:03,  1.20s/it]
Epoch 32, training loss 0.130:  71%|███████▏  | 130/182 [02:35<01:02,  1.20s/it]
Epoch 32, training loss 0.132:  71%|███████▏  | 130/182 [02:36<01:02,  1.20s/it]
Epoch 32, training loss 0.132:  72%|███████▏  | 131/182 [02:36<01:01,  1.20s/it]
Epoch 32, training loss 0.131:  72%|███████▏  | 131/182 [02:37<01:01,  1.20s/it]
Epoch 32, training loss 0.131:  73%|███████▎  | 132/182 [02:38<00:59,  1.20s/it]
Epoch 32, training loss 0.133:  73%|███████▎  | 132/182 [02:38<01:00,  1.20s/it]
Epoch 32, training loss 0.133:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 32, training loss 0.133:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 32, training loss 0.133:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
Epoch 32, training loss 0.133:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
Epoch 32, training loss 0.133:  74%|███████▍  | 135/182 [02:41<00:56,  1.20s/it]
Epoch 32, training loss 0.133:  74%|███████▍  | 135/182 [02:42<00:56,  1.20s/it]
Epoch 32, training loss 0.133:  75%|███████▍  | 136/182 [02:42<00:55,  1.20s/it]
Epoch 32, training loss 0.132:  75%|███████▍  | 136/182 [02:43<00:55,  1.20s/it]
Epoch 32, training loss 0.132:  75%|███████▌  | 137/182 [02:43<00:53,  1.20s/it]
Epoch 32, training loss 0.133:  75%|███████▌  | 137/182 [02:44<00:54,  1.20s/it]
Epoch 32, training loss 0.133:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 32, training loss 0.132:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 32, training loss 0.132:  76%|███████▋  | 139/182 [02:46<00:51,  1.20s/it]
Epoch 32, training loss 0.132:  76%|███████▋  | 139/182 [02:46<00:51,  1.20s/it]
Epoch 32, training loss 0.132:  77%|███████▋  | 140/182 [02:47<00:50,  1.20s/it]
Epoch 32, training loss 0.132:  77%|███████▋  | 140/182 [02:48<00:50,  1.20s/it]
Epoch 32, training loss 0.132:  77%|███████▋  | 141/182 [02:48<00:48,  1.19s/it]
Epoch 32, training loss 0.131:  77%|███████▋  | 141/182 [02:49<00:49,  1.20s/it]
Epoch 32, training loss 0.131:  78%|███████▊  | 142/182 [02:49<00:47,  1.19s/it]
Epoch 32, training loss 0.131:  78%|███████▊  | 142/182 [02:50<00:47,  1.20s/it]
Epoch 32, training loss 0.131:  79%|███████▊  | 143/182 [02:50<00:46,  1.19s/it]
Epoch 32, training loss 0.131:  79%|███████▊  | 143/182 [02:51<00:46,  1.20s/it]
Epoch 32, training loss 0.131:  79%|███████▉  | 144/182 [02:51<00:45,  1.19s/it]
Epoch 32, training loss 0.131:  79%|███████▉  | 144/182 [02:52<00:45,  1.20s/it]
Epoch 32, training loss 0.131:  80%|███████▉  | 145/182 [02:53<00:44,  1.19s/it]
Epoch 32, training loss 0.131:  80%|███████▉  | 145/182 [02:53<00:44,  1.20s/it]
Epoch 32, training loss 0.131:  80%|████████  | 146/182 [02:54<00:42,  1.19s/it]
Epoch 32, training loss 0.131:  80%|████████  | 146/182 [02:54<00:43,  1.20s/it]
Epoch 32, training loss 0.131:  81%|████████  | 147/182 [02:55<00:41,  1.19s/it]
Epoch 32, training loss 0.131:  81%|████████  | 147/182 [02:55<00:41,  1.20s/it]
Epoch 32, training loss 0.131:  81%|████████▏ | 148/182 [02:56<00:40,  1.19s/it]
Epoch 32, training loss 0.132:  81%|████████▏ | 148/182 [02:57<00:40,  1.20s/it]
Epoch 32, training loss 0.132:  82%|████████▏ | 149/182 [02:57<00:39,  1.19s/it]
Epoch 32, training loss 0.131:  82%|████████▏ | 149/182 [02:58<00:39,  1.20s/it]
Epoch 32, training loss 0.131:  82%|████████▏ | 150/182 [02:58<00:38,  1.19s/it]
Epoch 32, training loss 0.130:  82%|████████▏ | 150/182 [02:59<00:38,  1.20s/it]
Epoch 32, training loss 0.130:  83%|████████▎ | 151/182 [03:00<00:36,  1.19s/it]
Epoch 32, training loss 0.132:  83%|████████▎ | 151/182 [03:00<00:37,  1.20s/it]
Epoch 32, training loss 0.132:  84%|████████▎ | 152/182 [03:01<00:35,  1.19s/it]
Epoch 32, training loss 0.132:  84%|████████▎ | 152/182 [03:01<00:35,  1.20s/it]
Epoch 32, training loss 0.132:  84%|████████▍ | 153/182 [03:02<00:34,  1.19s/it]
Epoch 32, training loss 0.131:  84%|████████▍ | 153/182 [03:03<00:34,  1.20s/it]
Epoch 32, training loss 0.131:  85%|████████▍ | 154/182 [03:03<00:33,  1.19s/it]
Epoch 32, training loss 0.131:  85%|████████▍ | 154/182 [03:04<00:33,  1.20s/it]
Epoch 32, training loss 0.131:  85%|████████▌ | 155/182 [03:04<00:32,  1.19s/it]
Epoch 32, training loss 0.130:  85%|████████▌ | 155/182 [03:05<00:32,  1.20s/it]
Epoch 32, training loss 0.130:  86%|████████▌ | 156/182 [03:05<00:30,  1.19s/it]
Epoch 32, training loss 0.132:  86%|████████▌ | 156/182 [03:06<00:31,  1.20s/it]
Epoch 32, training loss 0.132:  86%|████████▋ | 157/182 [03:07<00:29,  1.19s/it]
Epoch 32, training loss 0.133:  86%|████████▋ | 157/182 [03:07<00:29,  1.20s/it]
Epoch 32, training loss 0.133:  87%|████████▋ | 158/182 [03:08<00:28,  1.19s/it]
Epoch 32, training loss 0.132:  87%|████████▋ | 158/182 [03:08<00:28,  1.20s/it]
Epoch 32, training loss 0.132:  87%|████████▋ | 159/182 [03:09<00:27,  1.19s/it]
Epoch 32, training loss 0.132:  87%|████████▋ | 159/182 [03:09<00:27,  1.19s/it]
Epoch 32, training loss 0.132:  88%|████████▊ | 160/182 [03:10<00:26,  1.19s/it]
Epoch 32, training loss 0.132:  88%|████████▊ | 160/182 [03:10<00:26,  1.19s/it]
Epoch 32, training loss 0.132:  88%|████████▊ | 161/182 [03:11<00:24,  1.19s/it]
Epoch 32, training loss 0.131:  88%|████████▊ | 161/182 [03:12<00:25,  1.19s/it]
Epoch 32, training loss 0.131:  89%|████████▉ | 162/182 [03:12<00:23,  1.19s/it]
Epoch 32, training loss 0.131:  89%|████████▉ | 162/182 [03:13<00:23,  1.19s/it]
Epoch 32, training loss 0.131:  90%|████████▉ | 163/182 [03:13<00:22,  1.19s/it]
Epoch 32, training loss 0.130:  90%|████████▉ | 163/182 [03:14<00:22,  1.19s/it]
Epoch 32, training loss 0.130:  90%|█████████ | 164/182 [03:15<00:21,  1.19s/it]
Epoch 32, training loss 0.130:  90%|█████████ | 164/182 [03:15<00:21,  1.19s/it]
Epoch 32, training loss 0.130:  91%|█████████ | 165/182 [03:16<00:20,  1.19s/it]
Epoch 32, training loss 0.130:  91%|█████████ | 165/182 [03:16<00:20,  1.19s/it]
Epoch 32, training loss 0.130:  91%|█████████ | 166/182 [03:17<00:19,  1.19s/it]
Epoch 32, training loss 0.130:  91%|█████████ | 166/182 [03:17<00:19,  1.19s/it]
Epoch 32, training loss 0.130:  92%|█████████▏| 167/182 [03:18<00:17,  1.19s/it]
Epoch 32, training loss 0.130:  92%|█████████▏| 167/182 [03:19<00:17,  1.19s/it]
Epoch 32, training loss 0.130:  92%|█████████▏| 168/182 [03:19<00:16,  1.19s/it]
Epoch 32, training loss 0.129:  92%|█████████▏| 168/182 [03:20<00:16,  1.19s/it]
Epoch 32, training loss 0.129:  93%|█████████▎| 169/182 [03:20<00:15,  1.19s/it]
Epoch 32, training loss 0.129:  93%|█████████▎| 169/182 [03:21<00:15,  1.19s/it]
Epoch 32, training loss 0.129:  93%|█████████▎| 170/182 [03:21<00:14,  1.19s/it]
Epoch 32, training loss 0.128:  93%|█████████▎| 170/182 [03:22<00:14,  1.19s/it]
Epoch 32, training loss 0.128:  94%|█████████▍| 171/182 [03:22<00:13,  1.19s/it]
Epoch 32, training loss 0.128:  94%|█████████▍| 171/182 [03:23<00:13,  1.19s/it]
Epoch 32, training loss 0.128:  95%|█████████▍| 172/182 [03:24<00:11,  1.19s/it]
Epoch 32, training loss 0.127:  95%|█████████▍| 172/182 [03:24<00:11,  1.19s/it]
Epoch 32, training loss 0.127:  95%|█████████▌| 173/182 [03:25<00:10,  1.19s/it]
Epoch 32, training loss 0.127:  95%|█████████▌| 173/182 [03:25<00:10,  1.19s/it]
Epoch 32, training loss 0.127:  96%|█████████▌| 174/182 [03:26<00:09,  1.19s/it]
Epoch 32, training loss 0.127:  96%|█████████▌| 174/182 [03:27<00:09,  1.19s/it]
Epoch 32, training loss 0.127:  96%|█████████▌| 175/182 [03:27<00:08,  1.19s/it]
Epoch 32, training loss 0.126:  96%|█████████▌| 175/182 [03:28<00:08,  1.19s/it]
Epoch 32, training loss 0.126:  97%|█████████▋| 176/182 [03:28<00:07,  1.19s/it]
Epoch 32, training loss 0.127:  97%|█████████▋| 176/182 [03:29<00:07,  1.19s/it]
Epoch 32, training loss 0.127:  97%|█████████▋| 177/182 [03:29<00:05,  1.19s/it]
Epoch 32, training loss 0.126:  97%|█████████▋| 177/182 [03:30<00:05,  1.19s/it]
Epoch 32, training loss 0.126:  98%|█████████▊| 178/182 [03:30<00:04,  1.18s/it]
Epoch 32, training loss 0.127:  98%|█████████▊| 178/182 [03:31<00:04,  1.19s/it]
Epoch 32, training loss 0.127:  98%|█████████▊| 179/182 [03:32<00:03,  1.18s/it]
Epoch 32, training loss 0.128:  98%|█████████▊| 179/182 [03:32<00:03,  1.19s/it]
Epoch 32, training loss 0.128:  99%|█████████▉| 180/182 [03:33<00:02,  1.18s/it]
Epoch 32, training loss 0.129:  99%|█████████▉| 180/182 [03:33<00:02,  1.19s/it]
Epoch 32, training loss 0.129:  99%|█████████▉| 181/182 [03:34<00:01,  1.18s/it]
Epoch 32, training loss 0.129:  99%|█████████▉| 181/182 [03:34<00:01,  1.19s/it]
Epoch 32, training loss 0.129: 100%|██████████| 182/182 [03:35<00:00,  1.18s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.523:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.523:   1%|          | 1/90 [00:04<06:57,  4.69s/it]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.678:   1%|          | 1/90 [00:05<07:37,  5.14s/it]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.678:   2%|▏         | 2/90 [00:05<03:46,  2.57s/it]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.793:   2%|▏         | 2/90 [00:05<04:05,  2.79s/it]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.793:   3%|▎         | 3/90 [00:05<02:41,  1.86s/it]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.843:   3%|▎         | 3/90 [00:06<02:54,  2.01s/it]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.843:   4%|▍         | 4/90 [00:06<02:09,  1.51s/it]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.896:   4%|▍         | 4/90 [00:06<02:19,  1.62s/it]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.896:   6%|▌         | 5/90 [00:06<01:50,  1.30s/it]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.894:   6%|▌         | 5/90 [00:06<01:57,  1.38s/it]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.894:   7%|▋         | 6/90 [00:06<01:36,  1.15s/it]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.890:   7%|▋         | 6/90 [00:07<01:43,  1.23s/it]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.890:   8%|▊         | 7/90 [00:07<01:27,  1.05s/it]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.894:   8%|▊         | 7/90 [00:07<01:32,  1.11s/it]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.894:   9%|▉         | 8/90 [00:07<01:19,  1.03it/s]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.896:   9%|▉         | 8/90 [00:08<01:24,  1.03s/it]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.896:  10%|█         | 9/90 [00:08<01:14,  1.09it/s]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.906:  10%|█         | 9/90 [00:08<01:18,  1.04it/s]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.906:  11%|█         | 10/90 [00:08<01:09,  1.15it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.905:  11%|█         | 10/90 [00:09<01:12,  1.10it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.905:  12%|█▏        | 11/90 [00:09<01:05,  1.21it/s]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.903:  12%|█▏        | 11/90 [00:09<01:08,  1.16it/s]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.903:  13%|█▎        | 12/90 [00:09<01:01,  1.27it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.908:  13%|█▎        | 12/90 [00:09<01:04,  1.21it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.908:  14%|█▍        | 13/90 [00:09<00:58,  1.32it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.912:  14%|█▍        | 13/90 [00:10<01:00,  1.26it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.912:  16%|█▌        | 14/90 [00:10<00:55,  1.36it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.913:  16%|█▌        | 14/90 [00:10<00:58,  1.31it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.913:  17%|█▋        | 15/90 [00:10<00:53,  1.40it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.916:  17%|█▋        | 15/90 [00:11<00:55,  1.35it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.916:  18%|█▊        | 16/90 [00:11<00:51,  1.44it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.916:  18%|█▊        | 16/90 [00:11<00:53,  1.38it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.916:  19%|█▉        | 17/90 [00:11<00:49,  1.47it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.909:  19%|█▉        | 17/90 [00:12<00:51,  1.42it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.909:  20%|██        | 18/90 [00:12<00:48,  1.50it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.908:  20%|██        | 18/90 [00:12<00:49,  1.44it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.908:  21%|██        | 19/90 [00:12<00:46,  1.52it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.906:  21%|██        | 19/90 [00:12<00:48,  1.47it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.906:  22%|██▏       | 20/90 [00:12<00:45,  1.55it/s]
Epoch 32, validation pixAcc: 0.977, mIoU: 0.904:  22%|██▏       | 20/90 [00:13<00:46,  1.50it/s]
Epoch 32, validation pixAcc: 0.977, mIoU: 0.904:  23%|██▎       | 21/90 [00:13<00:43,  1.58it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.905:  23%|██▎       | 21/90 [00:13<00:45,  1.52it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.905:  24%|██▍       | 22/90 [00:13<00:42,  1.60it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.907:  24%|██▍       | 22/90 [00:14<00:43,  1.55it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.907:  26%|██▌       | 23/90 [00:14<00:41,  1.62it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.905:  26%|██▌       | 23/90 [00:14<00:42,  1.57it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.905:  27%|██▋       | 24/90 [00:14<00:40,  1.64it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.907:  27%|██▋       | 24/90 [00:15<00:41,  1.59it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.907:  28%|██▊       | 25/90 [00:15<00:39,  1.66it/s]
Epoch 32, validation pixAcc: 0.977, mIoU: 0.907:  28%|██▊       | 25/90 [00:15<00:40,  1.62it/s]
Epoch 32, validation pixAcc: 0.977, mIoU: 0.907:  29%|██▉       | 26/90 [00:15<00:38,  1.68it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.911:  29%|██▉       | 26/90 [00:15<00:39,  1.63it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.911:  30%|███       | 27/90 [00:15<00:37,  1.69it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.911:  30%|███       | 27/90 [00:16<00:38,  1.65it/s]
Epoch 32, validation pixAcc: 0.978, mIoU: 0.911:  31%|███       | 28/90 [00:16<00:36,  1.71it/s]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.912:  31%|███       | 28/90 [00:16<00:37,  1.67it/s]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.912:  32%|███▏      | 29/90 [00:16<00:35,  1.73it/s]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.913:  32%|███▏      | 29/90 [00:17<00:36,  1.68it/s]
Epoch 32, validation pixAcc: 0.979, mIoU: 0.913:  33%|███▎      | 30/90 [00:17<00:34,  1.74it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.915:  33%|███▎      | 30/90 [00:17<00:35,  1.70it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.915:  34%|███▍      | 31/90 [00:17<00:33,  1.75it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.916:  34%|███▍      | 31/90 [00:18<00:34,  1.71it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.916:  36%|███▌      | 32/90 [00:18<00:32,  1.77it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.917:  36%|███▌      | 32/90 [00:18<00:33,  1.73it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.917:  37%|███▋      | 33/90 [00:18<00:31,  1.78it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.917:  37%|███▋      | 33/90 [00:18<00:32,  1.74it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.917:  38%|███▊      | 34/90 [00:18<00:31,  1.80it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.917:  38%|███▊      | 34/90 [00:19<00:31,  1.76it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.917:  39%|███▉      | 35/90 [00:19<00:30,  1.81it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.917:  39%|███▉      | 35/90 [00:19<00:31,  1.77it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.917:  40%|████      | 36/90 [00:19<00:29,  1.82it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.918:  40%|████      | 36/90 [00:20<00:30,  1.78it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.918:  41%|████      | 37/90 [00:20<00:29,  1.83it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.917:  41%|████      | 37/90 [00:20<00:29,  1.79it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.917:  42%|████▏     | 38/90 [00:20<00:28,  1.84it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.918:  42%|████▏     | 38/90 [00:21<00:28,  1.80it/s]
Epoch 32, validation pixAcc: 0.980, mIoU: 0.918:  43%|████▎     | 39/90 [00:21<00:27,  1.85it/s]
Epoch 32, validation pixAcc: 0.981, mIoU: 0.919:  43%|████▎     | 39/90 [00:21<00:28,  1.81it/s]
Epoch 32, validation pixAcc: 0.981, mIoU: 0.919:  44%|████▍     | 40/90 [00:21<00:26,  1.86it/s]
Epoch 32, validation pixAcc: 0.981, mIoU: 0.919:  44%|████▍     | 40/90 [00:21<00:27,  1.82it/s]
Epoch 32, validation pixAcc: 0.981, mIoU: 0.919:  46%|████▌     | 41/90 [00:21<00:26,  1.87it/s]
Epoch 32, validation pixAcc: 0.981, mIoU: 0.919:  46%|████▌     | 41/90 [00:22<00:26,  1.84it/s]
Epoch 32, validation pixAcc: 0.981, mIoU: 0.919:  47%|████▋     | 42/90 [00:22<00:25,  1.88it/s]
Epoch 32, validation pixAcc: 0.981, mIoU: 0.920:  47%|████▋     | 42/90 [00:22<00:25,  1.85it/s]
Epoch 32, validation pixAcc: 0.981, mIoU: 0.920:  48%|████▊     | 43/90 [00:22<00:24,  1.89it/s]
Epoch 32, validation pixAcc: 0.981, mIoU: 0.921:  48%|████▊     | 43/90 [00:23<00:25,  1.86it/s]
Epoch 32, validation pixAcc: 0.981, mIoU: 0.921:  49%|████▉     | 44/90 [00:23<00:24,  1.90it/s]
Epoch 32, validation pixAcc: 0.981, mIoU: 0.920:  49%|████▉     | 44/90 [00:23<00:24,  1.87it/s]
Epoch 32, validation pixAcc: 0.981, mIoU: 0.920:  50%|█████     | 45/90 [00:23<00:23,  1.91it/s]
Epoch 32, validation pixAcc: 0.981, mIoU: 0.920:  50%|█████     | 45/90 [00:23<00:23,  1.88it/s]
Epoch 32, validation pixAcc: 0.981, mIoU: 0.920:  51%|█████     | 46/90 [00:23<00:22,  1.92it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  51%|█████     | 46/90 [00:24<00:23,  1.88it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  52%|█████▏    | 47/90 [00:24<00:22,  1.92it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.920:  52%|█████▏    | 47/90 [00:24<00:22,  1.89it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.920:  53%|█████▎    | 48/90 [00:24<00:21,  1.93it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.920:  53%|█████▎    | 48/90 [00:25<00:22,  1.90it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.920:  54%|█████▍    | 49/90 [00:25<00:21,  1.94it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.920:  54%|█████▍    | 49/90 [00:25<00:21,  1.91it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.920:  56%|█████▌    | 50/90 [00:25<00:20,  1.95it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  56%|█████▌    | 50/90 [00:26<00:20,  1.91it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  57%|█████▋    | 51/90 [00:26<00:19,  1.95it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  57%|█████▋    | 51/90 [00:26<00:20,  1.92it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  58%|█████▊    | 52/90 [00:26<00:19,  1.96it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.920:  58%|█████▊    | 52/90 [00:26<00:19,  1.93it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.920:  59%|█████▉    | 53/90 [00:26<00:18,  1.97it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  59%|█████▉    | 53/90 [00:27<00:19,  1.94it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  60%|██████    | 54/90 [00:27<00:18,  1.98it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  60%|██████    | 54/90 [00:27<00:18,  1.95it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  61%|██████    | 55/90 [00:27<00:17,  1.98it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  61%|██████    | 55/90 [00:28<00:17,  1.95it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  62%|██████▏   | 56/90 [00:28<00:17,  1.99it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.922:  62%|██████▏   | 56/90 [00:28<00:17,  1.96it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.922:  63%|██████▎   | 57/90 [00:28<00:16,  1.99it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  63%|██████▎   | 57/90 [00:29<00:16,  1.96it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  64%|██████▍   | 58/90 [00:29<00:16,  2.00it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  64%|██████▍   | 58/90 [00:29<00:16,  1.97it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.921:  66%|██████▌   | 59/90 [00:29<00:15,  2.00it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.922:  66%|██████▌   | 59/90 [00:29<00:15,  1.98it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.922:  67%|██████▋   | 60/90 [00:29<00:14,  2.01it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.922:  67%|██████▋   | 60/90 [00:30<00:15,  1.98it/s]
Epoch 32, validation pixAcc: 0.982, mIoU: 0.922:  68%|██████▊   | 61/90 [00:30<00:14,  2.01it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.923:  68%|██████▊   | 61/90 [00:30<00:14,  1.99it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.923:  69%|██████▉   | 62/90 [00:30<00:13,  2.02it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.923:  69%|██████▉   | 62/90 [00:31<00:14,  2.00it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.923:  70%|███████   | 63/90 [00:31<00:13,  2.03it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.923:  70%|███████   | 63/90 [00:31<00:13,  2.00it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.923:  71%|███████   | 64/90 [00:31<00:12,  2.03it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  71%|███████   | 64/90 [00:31<00:12,  2.01it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  72%|███████▏  | 65/90 [00:31<00:12,  2.04it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  72%|███████▏  | 65/90 [00:32<00:12,  2.02it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  73%|███████▎  | 66/90 [00:32<00:11,  2.05it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  73%|███████▎  | 66/90 [00:32<00:11,  2.02it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  74%|███████▍  | 67/90 [00:32<00:11,  2.05it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  74%|███████▍  | 67/90 [00:33<00:11,  2.02it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  76%|███████▌  | 68/90 [00:33<00:10,  2.05it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  76%|███████▌  | 68/90 [00:33<00:10,  2.03it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  77%|███████▋  | 69/90 [00:33<00:10,  2.06it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  77%|███████▋  | 69/90 [00:33<00:10,  2.03it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  78%|███████▊  | 70/90 [00:33<00:09,  2.06it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  78%|███████▊  | 70/90 [00:34<00:09,  2.03it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  79%|███████▉  | 71/90 [00:34<00:09,  2.06it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  79%|███████▉  | 71/90 [00:34<00:09,  2.04it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  80%|████████  | 72/90 [00:34<00:08,  2.07it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  80%|████████  | 72/90 [00:35<00:08,  2.04it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.924:  81%|████████  | 73/90 [00:35<00:08,  2.07it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.925:  81%|████████  | 73/90 [00:35<00:08,  2.04it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.925:  82%|████████▏ | 74/90 [00:35<00:07,  2.07it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.925:  82%|████████▏ | 74/90 [00:36<00:07,  2.05it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.925:  83%|████████▎ | 75/90 [00:36<00:07,  2.07it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.925:  83%|████████▎ | 75/90 [00:36<00:07,  2.05it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.925:  84%|████████▍ | 76/90 [00:36<00:06,  2.08it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.926:  84%|████████▍ | 76/90 [00:36<00:06,  2.05it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.926:  86%|████████▌ | 77/90 [00:36<00:06,  2.08it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.925:  86%|████████▌ | 77/90 [00:37<00:06,  2.06it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.925:  87%|████████▋ | 78/90 [00:37<00:05,  2.09it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.926:  87%|████████▋ | 78/90 [00:37<00:05,  2.06it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.926:  88%|████████▊ | 79/90 [00:37<00:05,  2.09it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.926:  88%|████████▊ | 79/90 [00:38<00:05,  2.07it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.926:  89%|████████▉ | 80/90 [00:38<00:04,  2.09it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  89%|████████▉ | 80/90 [00:38<00:04,  2.07it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  90%|█████████ | 81/90 [00:38<00:04,  2.10it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  90%|█████████ | 81/90 [00:39<00:04,  2.08it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  91%|█████████ | 82/90 [00:39<00:03,  2.10it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  91%|█████████ | 82/90 [00:39<00:03,  2.08it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  92%|█████████▏| 83/90 [00:39<00:03,  2.10it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  92%|█████████▏| 83/90 [00:39<00:03,  2.08it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  93%|█████████▎| 84/90 [00:39<00:02,  2.11it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  93%|█████████▎| 84/90 [00:40<00:02,  2.08it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  94%|█████████▍| 85/90 [00:40<00:02,  2.11it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  94%|█████████▍| 85/90 [00:40<00:02,  2.09it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  96%|█████████▌| 86/90 [00:40<00:01,  2.11it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  96%|█████████▌| 86/90 [00:41<00:01,  2.09it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  97%|█████████▋| 87/90 [00:41<00:01,  2.11it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  97%|█████████▋| 87/90 [00:41<00:01,  2.09it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  98%|█████████▊| 88/90 [00:41<00:00,  2.12it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  98%|█████████▊| 88/90 [00:41<00:00,  2.10it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  99%|█████████▉| 89/90 [00:41<00:00,  2.12it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927:  99%|█████████▉| 89/90 [00:42<00:00,  2.10it/s]
Epoch 32, validation pixAcc: 0.983, mIoU: 0.927: 100%|██████████| 90/90 [00:42<00:00,  2.13it/s]

  0%|          | 0/182 [00:00<?, ?it/s]
Epoch 33, training loss 0.073:   0%|          | 0/182 [00:05<?, ?it/s]
Epoch 33, training loss 0.073:   1%|          | 1/182 [00:05<17:02,  5.65s/it]
Epoch 33, training loss 0.052:   1%|          | 1/182 [00:06<19:09,  6.35s/it]
Epoch 33, training loss 0.052:   1%|          | 2/182 [00:06<10:15,  3.42s/it]
Epoch 33, training loss 0.144:   1%|          | 2/182 [00:07<11:18,  3.77s/it]
Epoch 33, training loss 0.144:   2%|▏         | 3/182 [00:08<08:00,  2.69s/it]
Epoch 33, training loss 0.127:   2%|▏         | 3/182 [00:08<08:37,  2.89s/it]
Epoch 33, training loss 0.127:   2%|▏         | 4/182 [00:09<06:49,  2.30s/it]
Epoch 33, training loss 0.118:   2%|▏         | 4/182 [00:09<07:15,  2.45s/it]
Epoch 33, training loss 0.118:   3%|▎         | 5/182 [00:10<06:03,  2.05s/it]
Epoch 33, training loss 0.104:   3%|▎         | 5/182 [00:11<06:30,  2.21s/it]
Epoch 33, training loss 0.104:   3%|▎         | 6/182 [00:11<05:38,  1.92s/it]
Epoch 33, training loss 0.096:   3%|▎         | 6/182 [00:12<06:01,  2.05s/it]
Epoch 33, training loss 0.096:   4%|▍         | 7/182 [00:12<05:20,  1.83s/it]
Epoch 33, training loss 0.090:   4%|▍         | 7/182 [00:13<05:36,  1.92s/it]
Epoch 33, training loss 0.090:   4%|▍         | 8/182 [00:13<05:03,  1.74s/it]
Epoch 33, training loss 0.083:   4%|▍         | 8/182 [00:14<05:18,  1.83s/it]
Epoch 33, training loss 0.083:   5%|▍         | 9/182 [00:15<04:50,  1.68s/it]
Epoch 33, training loss 0.093:   5%|▍         | 9/182 [00:15<05:03,  1.76s/it]
Epoch 33, training loss 0.093:   5%|▌         | 10/182 [00:16<04:40,  1.63s/it]
Epoch 33, training loss 0.094:   5%|▌         | 10/182 [00:16<04:51,  1.69s/it]
Epoch 33, training loss 0.094:   6%|▌         | 11/182 [00:17<04:30,  1.58s/it]
Epoch 33, training loss 0.096:   6%|▌         | 11/182 [00:18<04:40,  1.64s/it]
Epoch 33, training loss 0.096:   7%|▋         | 12/182 [00:18<04:22,  1.54s/it]
Epoch 33, training loss 0.167:   7%|▋         | 12/182 [00:19<04:31,  1.60s/it]
Epoch 33, training loss 0.167:   7%|▋         | 13/182 [00:19<04:15,  1.51s/it]
Epoch 33, training loss 0.163:   7%|▋         | 13/182 [00:20<04:25,  1.57s/it]
Epoch 33, training loss 0.163:   8%|▊         | 14/182 [00:20<04:10,  1.49s/it]
Epoch 33, training loss 0.155:   8%|▊         | 14/182 [00:21<04:19,  1.55s/it]
Epoch 33, training loss 0.155:   8%|▊         | 15/182 [00:22<04:06,  1.48s/it]
Epoch 33, training loss 0.147:   8%|▊         | 15/182 [00:22<04:13,  1.52s/it]
Epoch 33, training loss 0.147:   9%|▉         | 16/182 [00:23<04:01,  1.45s/it]
Epoch 33, training loss 0.144:   9%|▉         | 16/182 [00:23<04:08,  1.50s/it]
Epoch 33, training loss 0.144:   9%|▉         | 17/182 [00:24<03:56,  1.44s/it]
Epoch 33, training loss 0.166:   9%|▉         | 17/182 [00:25<04:03,  1.47s/it]
Epoch 33, training loss 0.166:  10%|▉         | 18/182 [00:25<03:52,  1.42s/it]
Epoch 33, training loss 0.164:  10%|▉         | 18/182 [00:26<03:59,  1.46s/it]
Epoch 33, training loss 0.164:  10%|█         | 19/182 [00:26<03:49,  1.41s/it]
Epoch 33, training loss 0.158:  10%|█         | 19/182 [00:27<03:55,  1.44s/it]
Epoch 33, training loss 0.158:  11%|█         | 20/182 [00:27<03:46,  1.40s/it]
Epoch 33, training loss 0.151:  11%|█         | 20/182 [00:28<03:51,  1.43s/it]
Epoch 33, training loss 0.151:  12%|█▏        | 21/182 [00:29<03:42,  1.38s/it]
Epoch 33, training loss 0.147:  12%|█▏        | 21/182 [00:29<03:47,  1.41s/it]
Epoch 33, training loss 0.147:  12%|█▏        | 22/182 [00:30<03:39,  1.37s/it]
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Epoch 33, training loss 0.147:  13%|█▎        | 23/182 [00:31<03:36,  1.36s/it]
Epoch 33, training loss 0.143:  13%|█▎        | 23/182 [00:32<03:41,  1.39s/it]
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Epoch 33, training loss 0.139:  13%|█▎        | 24/182 [00:33<03:38,  1.38s/it]
Epoch 33, training loss 0.139:  14%|█▎        | 25/182 [00:33<03:31,  1.35s/it]
Epoch 33, training loss 0.138:  14%|█▎        | 25/182 [00:34<03:35,  1.37s/it]
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Epoch 33, training loss 0.134:  14%|█▍        | 26/182 [00:35<03:33,  1.37s/it]
Epoch 33, training loss 0.134:  15%|█▍        | 27/182 [00:36<03:26,  1.33s/it]
Epoch 33, training loss 0.131:  15%|█▍        | 27/182 [00:36<03:30,  1.36s/it]
Epoch 33, training loss 0.131:  15%|█▌        | 28/182 [00:37<03:24,  1.33s/it]
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Epoch 33, training loss 0.139:  16%|█▌        | 29/182 [00:38<03:22,  1.32s/it]
Epoch 33, training loss 0.137:  16%|█▌        | 29/182 [00:38<03:25,  1.34s/it]
Epoch 33, training loss 0.137:  16%|█▋        | 30/182 [00:39<03:19,  1.31s/it]
Epoch 33, training loss 0.136:  16%|█▋        | 30/182 [00:40<03:23,  1.34s/it]
Epoch 33, training loss 0.136:  17%|█▋        | 31/182 [00:40<03:17,  1.31s/it]
Epoch 33, training loss 0.133:  17%|█▋        | 31/182 [00:41<03:20,  1.33s/it]
Epoch 33, training loss 0.133:  18%|█▊        | 32/182 [00:41<03:15,  1.30s/it]
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Epoch 33, training loss 0.134:  18%|█▊        | 33/182 [00:42<03:13,  1.30s/it]
Epoch 33, training loss 0.132:  18%|█▊        | 33/182 [00:43<03:16,  1.32s/it]
Epoch 33, training loss 0.132:  19%|█▊        | 34/182 [00:44<03:11,  1.30s/it]
Epoch 33, training loss 0.136:  19%|█▊        | 34/182 [00:44<03:14,  1.32s/it]
Epoch 33, training loss 0.136:  19%|█▉        | 35/182 [00:45<03:09,  1.29s/it]
Epoch 33, training loss 0.135:  19%|█▉        | 35/182 [00:45<03:12,  1.31s/it]
Epoch 33, training loss 0.135:  20%|█▉        | 36/182 [00:46<03:08,  1.29s/it]
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Epoch 33, training loss 0.133:  20%|██        | 37/182 [00:48<03:08,  1.30s/it]
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Epoch 33, training loss 0.130:  21%|██▏       | 39/182 [00:50<03:05,  1.29s/it]
Epoch 33, training loss 0.130:  22%|██▏       | 40/182 [00:50<03:00,  1.27s/it]
Epoch 33, training loss 0.129:  22%|██▏       | 40/182 [00:51<03:03,  1.29s/it]
Epoch 33, training loss 0.129:  23%|██▎       | 41/182 [00:52<02:59,  1.28s/it]
Epoch 33, training loss 0.130:  23%|██▎       | 41/182 [00:52<03:02,  1.29s/it]
Epoch 33, training loss 0.130:  23%|██▎       | 42/182 [00:53<02:58,  1.27s/it]
Epoch 33, training loss 0.128:  23%|██▎       | 42/182 [00:54<03:00,  1.29s/it]
Epoch 33, training loss 0.128:  24%|██▎       | 43/182 [00:54<02:56,  1.27s/it]
Epoch 33, training loss 0.127:  24%|██▎       | 43/182 [00:55<02:58,  1.29s/it]
Epoch 33, training loss 0.127:  24%|██▍       | 44/182 [00:55<02:55,  1.27s/it]
Epoch 33, training loss 0.127:  24%|██▍       | 44/182 [00:56<02:57,  1.28s/it]
Epoch 33, training loss 0.127:  25%|██▍       | 45/182 [00:56<02:53,  1.27s/it]
Epoch 33, training loss 0.131:  25%|██▍       | 45/182 [00:57<02:55,  1.28s/it]
Epoch 33, training loss 0.131:  25%|██▌       | 46/182 [00:58<02:51,  1.26s/it]
Epoch 33, training loss 0.129:  25%|██▌       | 46/182 [00:58<02:53,  1.28s/it]
Epoch 33, training loss 0.129:  26%|██▌       | 47/182 [00:59<02:50,  1.26s/it]
Epoch 33, training loss 0.128:  26%|██▌       | 47/182 [01:00<02:52,  1.28s/it]
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Epoch 33, training loss 0.129:  27%|██▋       | 49/182 [01:01<02:47,  1.26s/it]
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Epoch 33, training loss 0.130:  27%|██▋       | 50/182 [01:02<02:45,  1.26s/it]
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Epoch 33, training loss 0.130:  28%|██▊       | 51/182 [01:04<02:44,  1.26s/it]
Epoch 33, training loss 0.128:  28%|██▊       | 51/182 [01:04<02:46,  1.27s/it]
Epoch 33, training loss 0.128:  29%|██▊       | 52/182 [01:05<02:42,  1.25s/it]
Epoch 33, training loss 0.127:  29%|██▊       | 52/182 [01:05<02:44,  1.27s/it]
Epoch 33, training loss 0.127:  29%|██▉       | 53/182 [01:06<02:41,  1.25s/it]
Epoch 33, training loss 0.125:  29%|██▉       | 53/182 [01:06<02:42,  1.26s/it]
Epoch 33, training loss 0.125:  30%|██▉       | 54/182 [01:07<02:39,  1.25s/it]
Epoch 33, training loss 0.124:  30%|██▉       | 54/182 [01:08<02:41,  1.26s/it]
Epoch 33, training loss 0.124:  30%|███       | 55/182 [01:08<02:38,  1.25s/it]
Epoch 33, training loss 0.124:  30%|███       | 55/182 [01:09<02:40,  1.26s/it]
Epoch 33, training loss 0.124:  31%|███       | 56/182 [01:09<02:37,  1.25s/it]
Epoch 33, training loss 0.124:  31%|███       | 56/182 [01:10<02:38,  1.26s/it]
Epoch 33, training loss 0.124:  31%|███▏      | 57/182 [01:11<02:35,  1.25s/it]
Epoch 33, training loss 0.124:  31%|███▏      | 57/182 [01:11<02:36,  1.26s/it]
Epoch 33, training loss 0.124:  32%|███▏      | 58/182 [01:12<02:34,  1.24s/it]
Epoch 33, training loss 0.129:  32%|███▏      | 58/182 [01:12<02:35,  1.25s/it]
Epoch 33, training loss 0.129:  32%|███▏      | 59/182 [01:13<02:32,  1.24s/it]
Epoch 33, training loss 0.135:  32%|███▏      | 59/182 [01:13<02:33,  1.25s/it]
Epoch 33, training loss 0.135:  33%|███▎      | 60/182 [01:14<02:31,  1.24s/it]
Epoch 33, training loss 0.137:  33%|███▎      | 60/182 [01:14<02:32,  1.25s/it]
Epoch 33, training loss 0.137:  34%|███▎      | 61/182 [01:15<02:29,  1.24s/it]
Epoch 33, training loss 0.135:  34%|███▎      | 61/182 [01:16<02:30,  1.25s/it]
Epoch 33, training loss 0.135:  34%|███▍      | 62/182 [01:16<02:28,  1.24s/it]
Epoch 33, training loss 0.134:  34%|███▍      | 62/182 [01:17<02:29,  1.25s/it]
Epoch 33, training loss 0.134:  35%|███▍      | 63/182 [01:17<02:27,  1.24s/it]
Epoch 33, training loss 0.134:  35%|███▍      | 63/182 [01:18<02:28,  1.25s/it]
Epoch 33, training loss 0.134:  35%|███▌      | 64/182 [01:19<02:25,  1.24s/it]
Epoch 33, training loss 0.135:  35%|███▌      | 64/182 [01:19<02:26,  1.24s/it]
Epoch 33, training loss 0.135:  36%|███▌      | 65/182 [01:20<02:24,  1.23s/it]
Epoch 33, training loss 0.136:  36%|███▌      | 65/182 [01:20<02:25,  1.24s/it]
Epoch 33, training loss 0.136:  36%|███▋      | 66/182 [01:21<02:22,  1.23s/it]
Epoch 33, training loss 0.136:  36%|███▋      | 66/182 [01:21<02:23,  1.24s/it]
Epoch 33, training loss 0.136:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 33, training loss 0.135:  37%|███▋      | 67/182 [01:23<02:22,  1.24s/it]
Epoch 33, training loss 0.135:  37%|███▋      | 68/182 [01:23<02:20,  1.23s/it]
Epoch 33, training loss 0.137:  37%|███▋      | 68/182 [01:24<02:21,  1.24s/it]
Epoch 33, training loss 0.137:  38%|███▊      | 69/182 [01:24<02:18,  1.23s/it]
Epoch 33, training loss 0.136:  38%|███▊      | 69/182 [01:25<02:19,  1.24s/it]
Epoch 33, training loss 0.136:  38%|███▊      | 70/182 [01:25<02:17,  1.23s/it]
Epoch 33, training loss 0.140:  38%|███▊      | 70/182 [01:26<02:18,  1.24s/it]
Epoch 33, training loss 0.140:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 33, training loss 0.139:  39%|███▉      | 71/182 [01:27<02:17,  1.24s/it]
Epoch 33, training loss 0.139:  40%|███▉      | 72/182 [01:28<02:14,  1.23s/it]
Epoch 33, training loss 0.141:  40%|███▉      | 72/182 [01:28<02:15,  1.24s/it]
Epoch 33, training loss 0.141:  40%|████      | 73/182 [01:29<02:13,  1.23s/it]
Epoch 33, training loss 0.140:  40%|████      | 73/182 [01:30<02:14,  1.23s/it]
Epoch 33, training loss 0.140:  41%|████      | 74/182 [01:30<02:12,  1.22s/it]
Epoch 33, training loss 0.139:  41%|████      | 74/182 [01:31<02:13,  1.23s/it]
Epoch 33, training loss 0.139:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 33, training loss 0.138:  41%|████      | 75/182 [01:32<02:11,  1.23s/it]
Epoch 33, training loss 0.138:  42%|████▏     | 76/182 [01:32<02:09,  1.22s/it]
Epoch 33, training loss 0.137:  42%|████▏     | 76/182 [01:33<02:10,  1.23s/it]
Epoch 33, training loss 0.137:  42%|████▏     | 77/182 [01:34<02:08,  1.22s/it]
Epoch 33, training loss 0.136:  42%|████▏     | 77/182 [01:34<02:09,  1.23s/it]
Epoch 33, training loss 0.136:  43%|████▎     | 78/182 [01:35<02:07,  1.22s/it]
Epoch 33, training loss 0.135:  43%|████▎     | 78/182 [01:35<02:07,  1.23s/it]
Epoch 33, training loss 0.135:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
Epoch 33, training loss 0.137:  43%|████▎     | 79/182 [01:37<02:06,  1.23s/it]
Epoch 33, training loss 0.137:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 33, training loss 0.140:  44%|████▍     | 80/182 [01:38<02:05,  1.23s/it]
Epoch 33, training loss 0.140:  45%|████▍     | 81/182 [01:38<02:03,  1.22s/it]
Epoch 33, training loss 0.139:  45%|████▍     | 81/182 [01:39<02:04,  1.23s/it]
Epoch 33, training loss 0.139:  45%|████▌     | 82/182 [01:39<02:01,  1.22s/it]
Epoch 33, training loss 0.144:  45%|████▌     | 82/182 [01:40<02:02,  1.23s/it]
Epoch 33, training loss 0.144:  46%|████▌     | 83/182 [01:41<02:00,  1.22s/it]
Epoch 33, training loss 0.144:  46%|████▌     | 83/182 [01:41<02:01,  1.23s/it]
Epoch 33, training loss 0.144:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 33, training loss 0.143:  46%|████▌     | 84/182 [01:42<02:00,  1.23s/it]
Epoch 33, training loss 0.143:  47%|████▋     | 85/182 [01:43<01:58,  1.22s/it]
Epoch 33, training loss 0.141:  47%|████▋     | 85/182 [01:44<01:58,  1.23s/it]
Epoch 33, training loss 0.141:  47%|████▋     | 86/182 [01:44<01:56,  1.22s/it]
Epoch 33, training loss 0.143:  47%|████▋     | 86/182 [01:45<01:57,  1.22s/it]
Epoch 33, training loss 0.143:  48%|████▊     | 87/182 [01:45<01:55,  1.22s/it]
Epoch 33, training loss 0.143:  48%|████▊     | 87/182 [01:46<01:56,  1.23s/it]
Epoch 33, training loss 0.143:  48%|████▊     | 88/182 [01:47<01:54,  1.22s/it]
Epoch 33, training loss 0.143:  48%|████▊     | 88/182 [01:47<01:55,  1.22s/it]
Epoch 33, training loss 0.143:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 33, training loss 0.142:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 33, training loss 0.142:  49%|████▉     | 90/182 [01:49<01:51,  1.22s/it]
Epoch 33, training loss 0.141:  49%|████▉     | 90/182 [01:50<01:52,  1.22s/it]
Epoch 33, training loss 0.141:  50%|█████     | 91/182 [01:50<01:50,  1.22s/it]
Epoch 33, training loss 0.140:  50%|█████     | 91/182 [01:51<01:51,  1.22s/it]
Epoch 33, training loss 0.140:  51%|█████     | 92/182 [01:51<01:49,  1.22s/it]
Epoch 33, training loss 0.139:  51%|█████     | 92/182 [01:52<01:50,  1.22s/it]
Epoch 33, training loss 0.139:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 33, training loss 0.138:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 33, training loss 0.138:  52%|█████▏    | 94/182 [01:54<01:46,  1.21s/it]
Epoch 33, training loss 0.137:  52%|█████▏    | 94/182 [01:54<01:47,  1.22s/it]
Epoch 33, training loss 0.137:  52%|█████▏    | 95/182 [01:55<01:45,  1.21s/it]
Epoch 33, training loss 0.136:  52%|█████▏    | 95/182 [01:55<01:46,  1.22s/it]
Epoch 33, training loss 0.136:  53%|█████▎    | 96/182 [01:56<01:44,  1.21s/it]
Epoch 33, training loss 0.136:  53%|█████▎    | 96/182 [01:57<01:44,  1.22s/it]
Epoch 33, training loss 0.136:  53%|█████▎    | 97/182 [01:57<01:43,  1.21s/it]
Epoch 33, training loss 0.138:  53%|█████▎    | 97/182 [01:58<01:43,  1.22s/it]
Epoch 33, training loss 0.138:  54%|█████▍    | 98/182 [01:58<01:41,  1.21s/it]
Epoch 33, training loss 0.138:  54%|█████▍    | 98/182 [01:59<01:42,  1.22s/it]
Epoch 33, training loss 0.138:  54%|█████▍    | 99/182 [02:00<01:40,  1.21s/it]
Epoch 33, training loss 0.137:  54%|█████▍    | 99/182 [02:00<01:41,  1.22s/it]
Epoch 33, training loss 0.137:  55%|█████▍    | 100/182 [02:01<01:39,  1.21s/it]
Epoch 33, training loss 0.136:  55%|█████▍    | 100/182 [02:01<01:39,  1.22s/it]
Epoch 33, training loss 0.136:  55%|█████▌    | 101/182 [02:02<01:38,  1.21s/it]
Epoch 33, training loss 0.137:  55%|█████▌    | 101/182 [02:02<01:38,  1.22s/it]
Epoch 33, training loss 0.137:  56%|█████▌    | 102/182 [02:03<01:36,  1.21s/it]
Epoch 33, training loss 0.137:  56%|█████▌    | 102/182 [02:04<01:37,  1.22s/it]
Epoch 33, training loss 0.137:  57%|█████▋    | 103/182 [02:04<01:35,  1.21s/it]
Epoch 33, training loss 0.137:  57%|█████▋    | 103/182 [02:05<01:36,  1.22s/it]
Epoch 33, training loss 0.137:  57%|█████▋    | 104/182 [02:05<01:34,  1.21s/it]
Epoch 33, training loss 0.136:  57%|█████▋    | 104/182 [02:06<01:34,  1.22s/it]
Epoch 33, training loss 0.136:  58%|█████▊    | 105/182 [02:07<01:33,  1.21s/it]
Epoch 33, training loss 0.136:  58%|█████▊    | 105/182 [02:07<01:33,  1.22s/it]
Epoch 33, training loss 0.136:  58%|█████▊    | 106/182 [02:08<01:31,  1.21s/it]
Epoch 33, training loss 0.135:  58%|█████▊    | 106/182 [02:08<01:32,  1.22s/it]
Epoch 33, training loss 0.135:  59%|█████▉    | 107/182 [02:09<01:30,  1.21s/it]
Epoch 33, training loss 0.135:  59%|█████▉    | 107/182 [02:09<01:31,  1.21s/it]
Epoch 33, training loss 0.135:  59%|█████▉    | 108/182 [02:10<01:29,  1.21s/it]
Epoch 33, training loss 0.134:  59%|█████▉    | 108/182 [02:11<01:29,  1.21s/it]
Epoch 33, training loss 0.134:  60%|█████▉    | 109/182 [02:11<01:28,  1.21s/it]
Epoch 33, training loss 0.133:  60%|█████▉    | 109/182 [02:12<01:28,  1.21s/it]
Epoch 33, training loss 0.133:  60%|██████    | 110/182 [02:12<01:26,  1.21s/it]
Epoch 33, training loss 0.133:  60%|██████    | 110/182 [02:13<01:27,  1.21s/it]
Epoch 33, training loss 0.133:  61%|██████    | 111/182 [02:13<01:25,  1.21s/it]
Epoch 33, training loss 0.134:  61%|██████    | 111/182 [02:14<01:26,  1.21s/it]
Epoch 33, training loss 0.134:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 33, training loss 0.133:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 33, training loss 0.133:  62%|██████▏   | 113/182 [02:16<01:23,  1.21s/it]
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Epoch 33, training loss 0.133:  63%|██████▎   | 114/182 [02:17<01:21,  1.21s/it]
Epoch 33, training loss 0.133:  63%|██████▎   | 114/182 [02:18<01:22,  1.21s/it]
Epoch 33, training loss 0.133:  63%|██████▎   | 115/182 [02:18<01:20,  1.20s/it]
Epoch 33, training loss 0.133:  63%|██████▎   | 115/182 [02:19<01:21,  1.21s/it]
Epoch 33, training loss 0.133:  64%|██████▎   | 116/182 [02:19<01:19,  1.20s/it]
Epoch 33, training loss 0.133:  64%|██████▎   | 116/182 [02:20<01:19,  1.21s/it]
Epoch 33, training loss 0.133:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 33, training loss 0.133:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 33, training loss 0.133:  65%|██████▍   | 118/182 [02:22<01:17,  1.21s/it]
Epoch 33, training loss 0.133:  65%|██████▍   | 118/182 [02:22<01:17,  1.21s/it]
Epoch 33, training loss 0.133:  65%|██████▌   | 119/182 [02:23<01:15,  1.20s/it]
Epoch 33, training loss 0.132:  65%|██████▌   | 119/182 [02:23<01:16,  1.21s/it]
Epoch 33, training loss 0.132:  66%|██████▌   | 120/182 [02:24<01:14,  1.20s/it]
Epoch 33, training loss 0.131:  66%|██████▌   | 120/182 [02:25<01:14,  1.21s/it]
Epoch 33, training loss 0.131:  66%|██████▋   | 121/182 [02:25<01:13,  1.20s/it]
Epoch 33, training loss 0.130:  66%|██████▋   | 121/182 [02:26<01:13,  1.21s/it]
Epoch 33, training loss 0.130:  67%|██████▋   | 122/182 [02:26<01:12,  1.20s/it]
Epoch 33, training loss 0.129:  67%|██████▋   | 122/182 [02:27<01:12,  1.21s/it]
Epoch 33, training loss 0.129:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 33, training loss 0.129:  68%|██████▊   | 123/182 [02:28<01:11,  1.21s/it]
Epoch 33, training loss 0.129:  68%|██████▊   | 124/182 [02:29<01:09,  1.20s/it]
Epoch 33, training loss 0.128:  68%|██████▊   | 124/182 [02:29<01:10,  1.21s/it]
Epoch 33, training loss 0.128:  69%|██████▊   | 125/182 [02:30<01:08,  1.20s/it]
Epoch 33, training loss 0.127:  69%|██████▊   | 125/182 [02:31<01:08,  1.21s/it]
Epoch 33, training loss 0.127:  69%|██████▉   | 126/182 [02:31<01:07,  1.20s/it]
Epoch 33, training loss 0.127:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 33, training loss 0.127:  70%|██████▉   | 127/182 [02:32<01:06,  1.20s/it]
Epoch 33, training loss 0.126:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 33, training loss 0.126:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 33, training loss 0.126:  70%|███████   | 128/182 [02:34<01:05,  1.21s/it]
Epoch 33, training loss 0.126:  71%|███████   | 129/182 [02:34<01:03,  1.20s/it]
Epoch 33, training loss 0.125:  71%|███████   | 129/182 [02:35<01:03,  1.21s/it]
Epoch 33, training loss 0.125:  71%|███████▏  | 130/182 [02:36<01:02,  1.20s/it]
Epoch 33, training loss 0.126:  71%|███████▏  | 130/182 [02:37<01:02,  1.21s/it]
Epoch 33, training loss 0.126:  72%|███████▏  | 131/182 [02:37<01:01,  1.20s/it]
Epoch 33, training loss 0.126:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 33, training loss 0.126:  73%|███████▎  | 132/182 [02:38<01:00,  1.20s/it]
Epoch 33, training loss 0.125:  73%|███████▎  | 132/182 [02:39<01:00,  1.21s/it]
Epoch 33, training loss 0.125:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 33, training loss 0.126:  73%|███████▎  | 133/182 [02:40<00:59,  1.21s/it]
Epoch 33, training loss 0.126:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
Epoch 33, training loss 0.125:  74%|███████▎  | 134/182 [02:41<00:57,  1.21s/it]
Epoch 33, training loss 0.125:  74%|███████▍  | 135/182 [02:42<00:56,  1.20s/it]
Epoch 33, training loss 0.127:  74%|███████▍  | 135/182 [02:42<00:56,  1.21s/it]
Epoch 33, training loss 0.127:  75%|███████▍  | 136/182 [02:43<00:55,  1.20s/it]
Epoch 33, training loss 0.128:  75%|███████▍  | 136/182 [02:44<00:55,  1.21s/it]
Epoch 33, training loss 0.128:  75%|███████▌  | 137/182 [02:44<00:54,  1.20s/it]
Epoch 33, training loss 0.127:  75%|███████▌  | 137/182 [02:45<00:54,  1.21s/it]
Epoch 33, training loss 0.127:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 33, training loss 0.127:  76%|███████▌  | 138/182 [02:46<00:53,  1.21s/it]
Epoch 33, training loss 0.127:  76%|███████▋  | 139/182 [02:47<00:51,  1.20s/it]
Epoch 33, training loss 0.126:  76%|███████▋  | 139/182 [02:47<00:51,  1.21s/it]
Epoch 33, training loss 0.126:  77%|███████▋  | 140/182 [02:48<00:50,  1.20s/it]
Epoch 33, training loss 0.126:  77%|███████▋  | 140/182 [02:48<00:50,  1.21s/it]
Epoch 33, training loss 0.126:  77%|███████▋  | 141/182 [02:49<00:49,  1.20s/it]
Epoch 33, training loss 0.127:  77%|███████▋  | 141/182 [02:49<00:49,  1.20s/it]
Epoch 33, training loss 0.127:  78%|███████▊  | 142/182 [02:50<00:47,  1.20s/it]
Epoch 33, training loss 0.127:  78%|███████▊  | 142/182 [02:50<00:48,  1.20s/it]
Epoch 33, training loss 0.127:  79%|███████▊  | 143/182 [02:51<00:46,  1.20s/it]
Epoch 33, training loss 0.126:  79%|███████▊  | 143/182 [02:52<00:46,  1.20s/it]
Epoch 33, training loss 0.126:  79%|███████▉  | 144/182 [02:52<00:45,  1.20s/it]
Epoch 33, training loss 0.126:  79%|███████▉  | 144/182 [02:53<00:45,  1.20s/it]
Epoch 33, training loss 0.126:  80%|███████▉  | 145/182 [02:53<00:44,  1.20s/it]
Epoch 33, training loss 0.125:  80%|███████▉  | 145/182 [02:54<00:44,  1.20s/it]
Epoch 33, training loss 0.125:  80%|████████  | 146/182 [02:54<00:43,  1.20s/it]
Epoch 33, training loss 0.125:  80%|████████  | 146/182 [02:55<00:43,  1.20s/it]
Epoch 33, training loss 0.125:  81%|████████  | 147/182 [02:56<00:41,  1.20s/it]
Epoch 33, training loss 0.125:  81%|████████  | 147/182 [02:56<00:42,  1.20s/it]
Epoch 33, training loss 0.125:  81%|████████▏ | 148/182 [02:57<00:40,  1.20s/it]
Epoch 33, training loss 0.125:  81%|████████▏ | 148/182 [02:57<00:40,  1.20s/it]
Epoch 33, training loss 0.125:  82%|████████▏ | 149/182 [02:58<00:39,  1.20s/it]
Epoch 33, training loss 0.124:  82%|████████▏ | 149/182 [02:59<00:39,  1.20s/it]
Epoch 33, training loss 0.124:  82%|████████▏ | 150/182 [02:59<00:38,  1.20s/it]
Epoch 33, training loss 0.124:  82%|████████▏ | 150/182 [03:00<00:38,  1.20s/it]
Epoch 33, training loss 0.124:  83%|████████▎ | 151/182 [03:00<00:37,  1.20s/it]
Epoch 33, training loss 0.123:  83%|████████▎ | 151/182 [03:01<00:37,  1.20s/it]
Epoch 33, training loss 0.123:  84%|████████▎ | 152/182 [03:01<00:35,  1.20s/it]
Epoch 33, training loss 0.123:  84%|████████▎ | 152/182 [03:02<00:36,  1.20s/it]
Epoch 33, training loss 0.123:  84%|████████▍ | 153/182 [03:02<00:34,  1.20s/it]
Epoch 33, training loss 0.122:  84%|████████▍ | 153/182 [03:03<00:34,  1.20s/it]
Epoch 33, training loss 0.122:  85%|████████▍ | 154/182 [03:04<00:33,  1.20s/it]
Epoch 33, training loss 0.125:  85%|████████▍ | 154/182 [03:04<00:33,  1.20s/it]
Epoch 33, training loss 0.125:  85%|████████▌ | 155/182 [03:05<00:32,  1.20s/it]
Epoch 33, training loss 0.125:  85%|████████▌ | 155/182 [03:05<00:32,  1.20s/it]
Epoch 33, training loss 0.125:  86%|████████▌ | 156/182 [03:06<00:31,  1.20s/it]
Epoch 33, training loss 0.125:  86%|████████▌ | 156/182 [03:07<00:31,  1.20s/it]
Epoch 33, training loss 0.125:  86%|████████▋ | 157/182 [03:07<00:29,  1.19s/it]
Epoch 33, training loss 0.125:  86%|████████▋ | 157/182 [03:08<00:29,  1.20s/it]
Epoch 33, training loss 0.125:  87%|████████▋ | 158/182 [03:08<00:28,  1.19s/it]
Epoch 33, training loss 0.125:  87%|████████▋ | 158/182 [03:09<00:28,  1.20s/it]
Epoch 33, training loss 0.125:  87%|████████▋ | 159/182 [03:09<00:27,  1.19s/it]
Epoch 33, training loss 0.125:  87%|████████▋ | 159/182 [03:10<00:27,  1.20s/it]
Epoch 33, training loss 0.125:  88%|████████▊ | 160/182 [03:11<00:26,  1.19s/it]
Epoch 33, training loss 0.125:  88%|████████▊ | 160/182 [03:11<00:26,  1.20s/it]
Epoch 33, training loss 0.125:  88%|████████▊ | 161/182 [03:12<00:25,  1.19s/it]
Epoch 33, training loss 0.124:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 33, training loss 0.124:  89%|████████▉ | 162/182 [03:13<00:23,  1.19s/it]
Epoch 33, training loss 0.124:  89%|████████▉ | 162/182 [03:14<00:23,  1.20s/it]
Epoch 33, training loss 0.124:  90%|████████▉ | 163/182 [03:14<00:22,  1.19s/it]
Epoch 33, training loss 0.125:  90%|████████▉ | 163/182 [03:15<00:22,  1.20s/it]
Epoch 33, training loss 0.125:  90%|█████████ | 164/182 [03:15<00:21,  1.19s/it]
Epoch 33, training loss 0.125:  90%|█████████ | 164/182 [03:16<00:21,  1.20s/it]
Epoch 33, training loss 0.125:  91%|█████████ | 165/182 [03:16<00:20,  1.19s/it]
Epoch 33, training loss 0.126:  91%|█████████ | 165/182 [03:17<00:20,  1.20s/it]
Epoch 33, training loss 0.126:  91%|█████████ | 166/182 [03:18<00:19,  1.19s/it]
Epoch 33, training loss 0.125:  91%|█████████ | 166/182 [03:18<00:19,  1.20s/it]
Epoch 33, training loss 0.125:  92%|█████████▏| 167/182 [03:19<00:17,  1.19s/it]
Epoch 33, training loss 0.125:  92%|█████████▏| 167/182 [03:20<00:17,  1.20s/it]
Epoch 33, training loss 0.125:  92%|█████████▏| 168/182 [03:20<00:16,  1.19s/it]
Epoch 33, training loss 0.130:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 33, training loss 0.130:  93%|█████████▎| 169/182 [03:21<00:15,  1.19s/it]
Epoch 33, training loss 0.130:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 33, training loss 0.130:  93%|█████████▎| 170/182 [03:22<00:14,  1.19s/it]
Epoch 33, training loss 0.129:  93%|█████████▎| 170/182 [03:23<00:14,  1.20s/it]
Epoch 33, training loss 0.129:  94%|█████████▍| 171/182 [03:24<00:13,  1.19s/it]
Epoch 33, training loss 0.129:  94%|█████████▍| 171/182 [03:24<00:13,  1.20s/it]
Epoch 33, training loss 0.129:  95%|█████████▍| 172/182 [03:25<00:11,  1.19s/it]
Epoch 33, training loss 0.128:  95%|█████████▍| 172/182 [03:25<00:11,  1.20s/it]
Epoch 33, training loss 0.128:  95%|█████████▌| 173/182 [03:26<00:10,  1.19s/it]
Epoch 33, training loss 0.128:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 33, training loss 0.128:  96%|█████████▌| 174/182 [03:27<00:09,  1.19s/it]
Epoch 33, training loss 0.128:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 33, training loss 0.128:  96%|█████████▌| 175/182 [03:28<00:08,  1.19s/it]
Epoch 33, training loss 0.128:  96%|█████████▌| 175/182 [03:29<00:08,  1.20s/it]
Epoch 33, training loss 0.128:  97%|█████████▋| 176/182 [03:30<00:07,  1.19s/it]
Epoch 33, training loss 0.129:  97%|█████████▋| 176/182 [03:30<00:07,  1.20s/it]
Epoch 33, training loss 0.129:  97%|█████████▋| 177/182 [03:31<00:05,  1.19s/it]
Epoch 33, training loss 0.129:  97%|█████████▋| 177/182 [03:31<00:05,  1.20s/it]
Epoch 33, training loss 0.129:  98%|█████████▊| 178/182 [03:32<00:04,  1.19s/it]
Epoch 33, training loss 0.129:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 33, training loss 0.129:  98%|█████████▊| 179/182 [03:33<00:03,  1.19s/it]
Epoch 33, training loss 0.129:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 33, training loss 0.129:  99%|█████████▉| 180/182 [03:34<00:02,  1.19s/it]
Epoch 33, training loss 0.128:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 33, training loss 0.128:  99%|█████████▉| 181/182 [03:35<00:01,  1.19s/it]
Epoch 33, training loss 0.129:  99%|█████████▉| 181/182 [03:36<00:01,  1.20s/it]
Epoch 33, training loss 0.129: 100%|██████████| 182/182 [03:37<00:00,  1.19s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.604:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.604:   1%|          | 1/91 [00:04<06:39,  4.44s/it]
Epoch 33, validation pixAcc: 0.977, mIoU: 0.747:   1%|          | 1/91 [00:04<07:19,  4.88s/it]
Epoch 33, validation pixAcc: 0.977, mIoU: 0.747:   2%|▏         | 2/91 [00:04<03:37,  2.44s/it]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.775:   2%|▏         | 2/91 [00:05<03:57,  2.67s/it]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.775:   3%|▎         | 3/91 [00:05<02:36,  1.78s/it]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.795:   3%|▎         | 3/91 [00:05<02:48,  1.92s/it]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.795:   4%|▍         | 4/91 [00:05<02:05,  1.44s/it]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.899:   4%|▍         | 4/91 [00:06<02:14,  1.55s/it]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.899:   5%|▌         | 5/91 [00:06<01:46,  1.24s/it]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.896:   5%|▌         | 5/91 [00:06<01:53,  1.32s/it]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.896:   7%|▋         | 6/91 [00:06<01:33,  1.10s/it]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.896:   7%|▋         | 6/91 [00:07<01:40,  1.18s/it]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.896:   8%|▊         | 7/91 [00:07<01:25,  1.01s/it]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.897:   8%|▊         | 7/91 [00:07<01:30,  1.08s/it]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.897:   9%|▉         | 8/91 [00:07<01:18,  1.06it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.899:   9%|▉         | 8/91 [00:07<01:22,  1.00it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.899:  10%|▉         | 9/91 [00:07<01:12,  1.13it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.908:  10%|▉         | 9/91 [00:08<01:16,  1.07it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.908:  11%|█         | 10/91 [00:08<01:07,  1.19it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.905:  11%|█         | 10/91 [00:08<01:11,  1.14it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.905:  12%|█▏        | 11/91 [00:08<01:04,  1.25it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.905:  12%|█▏        | 11/91 [00:09<01:07,  1.19it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.905:  13%|█▎        | 12/91 [00:09<01:00,  1.30it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.903:  13%|█▎        | 12/91 [00:09<01:03,  1.24it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.903:  14%|█▍        | 13/91 [00:09<00:58,  1.34it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.913:  14%|█▍        | 13/91 [00:10<01:00,  1.28it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.913:  15%|█▌        | 14/91 [00:10<00:55,  1.38it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.912:  15%|█▌        | 14/91 [00:10<00:58,  1.32it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.912:  16%|█▋        | 15/91 [00:10<00:53,  1.42it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.917:  16%|█▋        | 15/91 [00:11<00:55,  1.36it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.917:  18%|█▊        | 16/91 [00:11<00:51,  1.45it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.916:  18%|█▊        | 16/91 [00:11<00:53,  1.40it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.916:  19%|█▊        | 17/91 [00:11<00:49,  1.48it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.914:  19%|█▊        | 17/91 [00:11<00:51,  1.43it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.914:  20%|█▉        | 18/91 [00:11<00:48,  1.51it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.909:  20%|█▉        | 18/91 [00:12<00:50,  1.45it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.909:  21%|██        | 19/91 [00:12<00:46,  1.54it/s]
Epoch 33, validation pixAcc: 0.977, mIoU: 0.905:  21%|██        | 19/91 [00:12<00:48,  1.48it/s]
Epoch 33, validation pixAcc: 0.977, mIoU: 0.905:  22%|██▏       | 20/91 [00:12<00:45,  1.56it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.907:  22%|██▏       | 20/91 [00:13<00:47,  1.50it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.907:  23%|██▎       | 21/91 [00:13<00:44,  1.58it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.906:  23%|██▎       | 21/91 [00:13<00:45,  1.53it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.906:  24%|██▍       | 22/91 [00:13<00:43,  1.60it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.908:  24%|██▍       | 22/91 [00:14<00:44,  1.55it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.908:  25%|██▌       | 23/91 [00:14<00:42,  1.62it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.908:  25%|██▌       | 23/91 [00:14<00:43,  1.57it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.908:  26%|██▋       | 24/91 [00:14<00:40,  1.64it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.908:  26%|██▋       | 24/91 [00:15<00:42,  1.59it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.908:  27%|██▋       | 25/91 [00:15<00:39,  1.66it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.909:  27%|██▋       | 25/91 [00:15<00:40,  1.61it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.909:  29%|██▊       | 26/91 [00:15<00:38,  1.67it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.910:  29%|██▊       | 26/91 [00:15<00:39,  1.63it/s]
Epoch 33, validation pixAcc: 0.978, mIoU: 0.910:  30%|██▉       | 27/91 [00:15<00:37,  1.69it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.913:  30%|██▉       | 27/91 [00:16<00:38,  1.65it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.913:  31%|███       | 28/91 [00:16<00:36,  1.71it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.913:  31%|███       | 28/91 [00:16<00:37,  1.67it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.913:  32%|███▏      | 29/91 [00:16<00:35,  1.73it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.914:  32%|███▏      | 29/91 [00:17<00:36,  1.69it/s]
Epoch 33, validation pixAcc: 0.979, mIoU: 0.914:  33%|███▎      | 30/91 [00:17<00:34,  1.75it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.916:  33%|███▎      | 30/91 [00:17<00:35,  1.71it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.916:  34%|███▍      | 31/91 [00:17<00:34,  1.76it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.916:  34%|███▍      | 31/91 [00:18<00:34,  1.72it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.916:  35%|███▌      | 32/91 [00:18<00:33,  1.77it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.918:  35%|███▌      | 32/91 [00:18<00:34,  1.73it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.918:  36%|███▋      | 33/91 [00:18<00:32,  1.79it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.918:  36%|███▋      | 33/91 [00:18<00:33,  1.74it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.918:  37%|███▋      | 34/91 [00:18<00:31,  1.80it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.918:  37%|███▋      | 34/91 [00:19<00:32,  1.76it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.918:  38%|███▊      | 35/91 [00:19<00:30,  1.81it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.919:  38%|███▊      | 35/91 [00:19<00:31,  1.77it/s]
Epoch 33, validation pixAcc: 0.980, mIoU: 0.919:  40%|███▉      | 36/91 [00:19<00:30,  1.82it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.919:  40%|███▉      | 36/91 [00:20<00:30,  1.78it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.919:  41%|████      | 37/91 [00:20<00:29,  1.83it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.919:  41%|████      | 37/91 [00:20<00:30,  1.80it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.919:  42%|████▏     | 38/91 [00:20<00:28,  1.84it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.919:  42%|████▏     | 38/91 [00:21<00:29,  1.81it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.919:  43%|████▎     | 39/91 [00:21<00:28,  1.86it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.921:  43%|████▎     | 39/91 [00:21<00:28,  1.82it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.921:  44%|████▍     | 40/91 [00:21<00:27,  1.87it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.920:  44%|████▍     | 40/91 [00:21<00:27,  1.83it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.920:  45%|████▌     | 41/91 [00:21<00:26,  1.87it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.920:  45%|████▌     | 41/91 [00:22<00:27,  1.84it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.920:  46%|████▌     | 42/91 [00:22<00:26,  1.88it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.921:  46%|████▌     | 42/91 [00:22<00:26,  1.85it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.921:  47%|████▋     | 43/91 [00:22<00:25,  1.89it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.922:  47%|████▋     | 43/91 [00:23<00:25,  1.86it/s]
Epoch 33, validation pixAcc: 0.981, mIoU: 0.922:  48%|████▊     | 44/91 [00:23<00:24,  1.90it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  48%|████▊     | 44/91 [00:23<00:25,  1.87it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 45/91 [00:23<00:24,  1.91it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 45/91 [00:23<00:24,  1.88it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/91 [00:23<00:23,  1.92it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/91 [00:24<00:23,  1.89it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  52%|█████▏    | 47/91 [00:24<00:22,  1.93it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  52%|█████▏    | 47/91 [00:24<00:23,  1.89it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/91 [00:24<00:22,  1.93it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.921:  53%|█████▎    | 48/91 [00:25<00:22,  1.90it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.921:  54%|█████▍    | 49/91 [00:25<00:21,  1.94it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.921:  54%|█████▍    | 49/91 [00:25<00:22,  1.91it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.921:  55%|█████▍    | 50/91 [00:25<00:21,  1.95it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  55%|█████▍    | 50/91 [00:26<00:21,  1.92it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  56%|█████▌    | 51/91 [00:26<00:20,  1.96it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.923:  56%|█████▌    | 51/91 [00:26<00:20,  1.92it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 52/91 [00:26<00:19,  1.96it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 52/91 [00:26<00:20,  1.93it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.923:  58%|█████▊    | 53/91 [00:26<00:19,  1.97it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  58%|█████▊    | 53/91 [00:27<00:19,  1.94it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  59%|█████▉    | 54/91 [00:27<00:18,  1.97it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  59%|█████▉    | 54/91 [00:27<00:19,  1.94it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  60%|██████    | 55/91 [00:27<00:18,  1.98it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  60%|██████    | 55/91 [00:28<00:18,  1.95it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  62%|██████▏   | 56/91 [00:28<00:17,  1.99it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.922:  62%|██████▏   | 56/91 [00:28<00:17,  1.96it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.922:  63%|██████▎   | 57/91 [00:28<00:17,  1.99it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.922:  63%|██████▎   | 57/91 [00:28<00:17,  1.97it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.922:  64%|██████▎   | 58/91 [00:28<00:16,  2.00it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.922:  64%|██████▎   | 58/91 [00:29<00:16,  1.97it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.922:  65%|██████▍   | 59/91 [00:29<00:15,  2.01it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  65%|██████▍   | 59/91 [00:29<00:16,  1.98it/s]
Epoch 33, validation pixAcc: 0.982, mIoU: 0.922:  66%|██████▌   | 60/91 [00:29<00:15,  2.01it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.923:  66%|██████▌   | 60/91 [00:30<00:15,  1.98it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.923:  67%|██████▋   | 61/91 [00:30<00:14,  2.01it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.923:  67%|██████▋   | 61/91 [00:30<00:15,  1.99it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.923:  68%|██████▊   | 62/91 [00:30<00:14,  2.02it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 62/91 [00:31<00:14,  1.99it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 63/91 [00:31<00:13,  2.03it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 63/91 [00:31<00:14,  2.00it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.924:  70%|███████   | 64/91 [00:31<00:13,  2.03it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 64/91 [00:31<00:13,  2.00it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████▏  | 65/91 [00:31<00:12,  2.04it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████▏  | 65/91 [00:32<00:12,  2.01it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  73%|███████▎  | 66/91 [00:32<00:12,  2.04it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  73%|███████▎  | 66/91 [00:32<00:12,  2.02it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▎  | 67/91 [00:32<00:11,  2.05it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.924:  74%|███████▎  | 67/91 [00:33<00:11,  2.02it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.924:  75%|███████▍  | 68/91 [00:33<00:11,  2.05it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  75%|███████▍  | 68/91 [00:33<00:11,  2.02it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 69/91 [00:33<00:10,  2.05it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 69/91 [00:34<00:10,  2.03it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  77%|███████▋  | 70/91 [00:34<00:10,  2.06it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  77%|███████▋  | 70/91 [00:34<00:10,  2.03it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  78%|███████▊  | 71/91 [00:34<00:09,  2.06it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.926:  78%|███████▊  | 71/91 [00:34<00:09,  2.03it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.926:  79%|███████▉  | 72/91 [00:34<00:09,  2.06it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  79%|███████▉  | 72/91 [00:35<00:09,  2.04it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  80%|████████  | 73/91 [00:35<00:08,  2.06it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  80%|████████  | 73/91 [00:35<00:08,  2.04it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.925:  81%|████████▏ | 74/91 [00:35<00:08,  2.07it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.926:  81%|████████▏ | 74/91 [00:36<00:08,  2.04it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.926:  82%|████████▏ | 75/91 [00:36<00:07,  2.07it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.926:  82%|████████▏ | 75/91 [00:36<00:07,  2.05it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.926:  84%|████████▎ | 76/91 [00:36<00:07,  2.07it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.926:  84%|████████▎ | 76/91 [00:37<00:07,  2.05it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.926:  85%|████████▍ | 77/91 [00:37<00:06,  2.08it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.926:  85%|████████▍ | 77/91 [00:37<00:06,  2.05it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.926:  86%|████████▌ | 78/91 [00:37<00:06,  2.08it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.926:  86%|████████▌ | 78/91 [00:37<00:06,  2.06it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.926:  87%|████████▋ | 79/91 [00:37<00:05,  2.08it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.927:  87%|████████▋ | 79/91 [00:38<00:05,  2.06it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.927:  88%|████████▊ | 80/91 [00:38<00:05,  2.08it/s]
Epoch 33, validation pixAcc: 0.984, mIoU: 0.927:  88%|████████▊ | 80/91 [00:38<00:05,  2.06it/s]
Epoch 33, validation pixAcc: 0.984, mIoU: 0.927:  89%|████████▉ | 81/91 [00:38<00:04,  2.09it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.928:  89%|████████▉ | 81/91 [00:39<00:04,  2.07it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.928:  90%|█████████ | 82/91 [00:39<00:04,  2.09it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.928:  90%|█████████ | 82/91 [00:39<00:04,  2.07it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.928:  91%|█████████ | 83/91 [00:39<00:03,  2.09it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.928:  91%|█████████ | 83/91 [00:40<00:03,  2.07it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.928:  92%|█████████▏| 84/91 [00:40<00:03,  2.10it/s]
Epoch 33, validation pixAcc: 0.984, mIoU: 0.928:  92%|█████████▏| 84/91 [00:40<00:03,  2.07it/s]
Epoch 33, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 85/91 [00:40<00:02,  2.10it/s]
Epoch 33, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 85/91 [00:40<00:02,  2.08it/s]
Epoch 33, validation pixAcc: 0.984, mIoU: 0.928:  95%|█████████▍| 86/91 [00:40<00:02,  2.10it/s]
Epoch 33, validation pixAcc: 0.984, mIoU: 0.928:  95%|█████████▍| 86/91 [00:41<00:02,  2.08it/s]
Epoch 33, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 87/91 [00:41<00:01,  2.10it/s]
Epoch 33, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 87/91 [00:41<00:01,  2.08it/s]
Epoch 33, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 88/91 [00:41<00:01,  2.10it/s]
Epoch 33, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 88/91 [00:42<00:01,  2.08it/s]
Epoch 33, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 89/91 [00:42<00:00,  2.10it/s]
Epoch 33, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 89/91 [00:42<00:00,  2.08it/s]
Epoch 33, validation pixAcc: 0.984, mIoU: 0.928:  99%|█████████▉| 90/91 [00:42<00:00,  2.11it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.927:  99%|█████████▉| 90/91 [00:43<00:00,  2.09it/s]
Epoch 33, validation pixAcc: 0.983, mIoU: 0.927: 100%|██████████| 91/91 [00:43<00:00,  2.11it/s]

  0%|          | 0/182 [00:00<?, ?it/s]
Epoch 34, training loss 0.038:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 34, training loss 0.038:   1%|          | 1/182 [00:05<16:23,  5.43s/it]
Epoch 34, training loss 0.125:   1%|          | 1/182 [00:06<18:25,  6.11s/it]
Epoch 34, training loss 0.125:   1%|          | 2/182 [00:06<09:53,  3.30s/it]
Epoch 34, training loss 0.163:   1%|          | 2/182 [00:07<11:03,  3.68s/it]
Epoch 34, training loss 0.163:   2%|▏         | 3/182 [00:07<07:51,  2.63s/it]
Epoch 34, training loss 0.161:   2%|▏         | 3/182 [00:08<08:31,  2.86s/it]
Epoch 34, training loss 0.161:   2%|▏         | 4/182 [00:09<06:43,  2.27s/it]
Epoch 34, training loss 0.162:   2%|▏         | 4/182 [00:09<07:14,  2.44s/it]
Epoch 34, training loss 0.162:   3%|▎         | 5/182 [00:10<06:03,  2.05s/it]
Epoch 34, training loss 0.139:   3%|▎         | 5/182 [00:10<06:25,  2.18s/it]
Epoch 34, training loss 0.139:   3%|▎         | 6/182 [00:11<05:34,  1.90s/it]
Epoch 34, training loss 0.130:   3%|▎         | 6/182 [00:12<05:54,  2.01s/it]
Epoch 34, training loss 0.130:   4%|▍         | 7/182 [00:12<05:14,  1.80s/it]
Epoch 34, training loss 0.131:   4%|▍         | 7/182 [00:13<05:31,  1.89s/it]
Epoch 34, training loss 0.131:   4%|▍         | 8/182 [00:13<04:59,  1.72s/it]
Epoch 34, training loss 0.120:   4%|▍         | 8/182 [00:14<05:14,  1.81s/it]
Epoch 34, training loss 0.120:   5%|▍         | 9/182 [00:14<04:47,  1.66s/it]
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Epoch 34, training loss 0.137:   5%|▌         | 10/182 [00:16<04:50,  1.69s/it]
Epoch 34, training loss 0.137:   6%|▌         | 11/182 [00:17<04:30,  1.58s/it]
Epoch 34, training loss 0.136:   6%|▌         | 11/182 [00:18<04:41,  1.64s/it]
Epoch 34, training loss 0.136:   7%|▋         | 12/182 [00:18<04:23,  1.55s/it]
Epoch 34, training loss 0.142:   7%|▋         | 12/182 [00:19<04:33,  1.61s/it]
Epoch 34, training loss 0.142:   7%|▋         | 13/182 [00:19<04:17,  1.52s/it]
Epoch 34, training loss 0.135:   7%|▋         | 13/182 [00:20<04:26,  1.58s/it]
Epoch 34, training loss 0.135:   8%|▊         | 14/182 [00:21<04:12,  1.50s/it]
Epoch 34, training loss 0.130:   8%|▊         | 14/182 [00:21<04:20,  1.55s/it]
Epoch 34, training loss 0.130:   8%|▊         | 15/182 [00:22<04:07,  1.48s/it]
Epoch 34, training loss 0.127:   8%|▊         | 15/182 [00:22<04:15,  1.53s/it]
Epoch 34, training loss 0.127:   9%|▉         | 16/182 [00:23<04:03,  1.46s/it]
Epoch 34, training loss 0.123:   9%|▉         | 16/182 [00:24<04:09,  1.50s/it]
Epoch 34, training loss 0.123:   9%|▉         | 17/182 [00:24<03:58,  1.45s/it]
Epoch 34, training loss 0.119:   9%|▉         | 17/182 [00:25<04:05,  1.49s/it]
Epoch 34, training loss 0.119:  10%|▉         | 18/182 [00:25<03:54,  1.43s/it]
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Epoch 34, training loss 0.123:  11%|█         | 20/182 [00:28<03:48,  1.41s/it]
Epoch 34, training loss 0.124:  11%|█         | 20/182 [00:28<03:53,  1.44s/it]
Epoch 34, training loss 0.124:  12%|█▏        | 21/182 [00:29<03:45,  1.40s/it]
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Epoch 34, training loss 0.120:  12%|█▏        | 22/182 [00:31<03:46,  1.42s/it]
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Epoch 34, training loss 0.118:  13%|█▎        | 23/182 [00:32<03:43,  1.41s/it]
Epoch 34, training loss 0.118:  13%|█▎        | 24/182 [00:32<03:36,  1.37s/it]
Epoch 34, training loss 0.115:  13%|█▎        | 24/182 [00:33<03:40,  1.40s/it]
Epoch 34, training loss 0.115:  14%|█▎        | 25/182 [00:34<03:33,  1.36s/it]
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Epoch 34, training loss 0.115:  14%|█▍        | 26/182 [00:35<03:31,  1.35s/it]
Epoch 34, training loss 0.113:  14%|█▍        | 26/182 [00:35<03:35,  1.38s/it]
Epoch 34, training loss 0.113:  15%|█▍        | 27/182 [00:36<03:28,  1.35s/it]
Epoch 34, training loss 0.115:  15%|█▍        | 27/182 [00:37<03:32,  1.37s/it]
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Epoch 34, training loss 0.113:  16%|█▌        | 29/182 [00:38<03:24,  1.33s/it]
Epoch 34, training loss 0.111:  16%|█▌        | 29/182 [00:39<03:27,  1.36s/it]
Epoch 34, training loss 0.111:  16%|█▋        | 30/182 [00:39<03:21,  1.33s/it]
Epoch 34, training loss 0.113:  16%|█▋        | 30/182 [00:40<03:25,  1.35s/it]
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Epoch 34, training loss 0.115:  17%|█▋        | 31/182 [00:41<03:23,  1.35s/it]
Epoch 34, training loss 0.115:  18%|█▊        | 32/182 [00:42<03:17,  1.32s/it]
Epoch 34, training loss 0.114:  18%|█▊        | 32/182 [00:42<03:20,  1.34s/it]
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Epoch 34, training loss 0.114:  19%|█▊        | 34/182 [00:44<03:13,  1.31s/it]
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Epoch 34, training loss 0.109:  20%|█▉        | 36/182 [00:47<03:12,  1.32s/it]
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Epoch 34, training loss 0.109:  20%|██        | 37/182 [00:48<03:10,  1.31s/it]
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Epoch 34, training loss 0.107:  21%|██        | 38/182 [00:49<03:08,  1.31s/it]
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Epoch 34, training loss 0.106:  21%|██▏       | 39/182 [00:50<03:06,  1.30s/it]
Epoch 34, training loss 0.106:  22%|██▏       | 40/182 [00:51<03:02,  1.28s/it]
Epoch 34, training loss 0.104:  22%|██▏       | 40/182 [00:52<03:04,  1.30s/it]
Epoch 34, training loss 0.104:  23%|██▎       | 41/182 [00:52<03:00,  1.28s/it]
Epoch 34, training loss 0.108:  23%|██▎       | 41/182 [00:53<03:03,  1.30s/it]
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Epoch 34, training loss 0.109:  23%|██▎       | 42/182 [00:54<03:01,  1.30s/it]
Epoch 34, training loss 0.109:  24%|██▎       | 43/182 [00:54<02:57,  1.28s/it]
Epoch 34, training loss 0.109:  24%|██▎       | 43/182 [00:55<02:59,  1.29s/it]
Epoch 34, training loss 0.109:  24%|██▍       | 44/182 [00:56<02:55,  1.27s/it]
Epoch 34, training loss 0.107:  24%|██▍       | 44/182 [00:56<02:57,  1.29s/it]
Epoch 34, training loss 0.107:  25%|██▍       | 45/182 [00:57<02:53,  1.27s/it]
Epoch 34, training loss 0.125:  25%|██▍       | 45/182 [00:57<02:56,  1.29s/it]
Epoch 34, training loss 0.125:  25%|██▌       | 46/182 [00:58<02:52,  1.27s/it]
Epoch 34, training loss 0.124:  25%|██▌       | 46/182 [00:58<02:54,  1.28s/it]
Epoch 34, training loss 0.124:  26%|██▌       | 47/182 [00:59<02:50,  1.27s/it]
Epoch 34, training loss 0.123:  26%|██▌       | 47/182 [01:00<02:53,  1.28s/it]
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Epoch 34, training loss 0.126:  26%|██▋       | 48/182 [01:01<02:51,  1.28s/it]
Epoch 34, training loss 0.126:  27%|██▋       | 49/182 [01:02<02:48,  1.27s/it]
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Epoch 34, training loss 0.130:  27%|██▋       | 50/182 [01:03<02:48,  1.28s/it]
Epoch 34, training loss 0.130:  28%|██▊       | 51/182 [01:04<02:45,  1.26s/it]
Epoch 34, training loss 0.135:  28%|██▊       | 51/182 [01:05<02:47,  1.28s/it]
Epoch 34, training loss 0.135:  29%|██▊       | 52/182 [01:05<02:43,  1.26s/it]
Epoch 34, training loss 0.134:  29%|██▊       | 52/182 [01:06<02:45,  1.27s/it]
Epoch 34, training loss 0.134:  29%|██▉       | 53/182 [01:06<02:42,  1.26s/it]
Epoch 34, training loss 0.136:  29%|██▉       | 53/182 [01:07<02:43,  1.27s/it]
Epoch 34, training loss 0.136:  30%|██▉       | 54/182 [01:07<02:40,  1.26s/it]
Epoch 34, training loss 0.134:  30%|██▉       | 54/182 [01:08<02:42,  1.27s/it]
Epoch 34, training loss 0.134:  30%|███       | 55/182 [01:09<02:39,  1.26s/it]
Epoch 34, training loss 0.134:  30%|███       | 55/182 [01:09<02:41,  1.27s/it]
Epoch 34, training loss 0.134:  31%|███       | 56/182 [01:10<02:38,  1.25s/it]
Epoch 34, training loss 0.133:  31%|███       | 56/182 [01:11<02:39,  1.27s/it]
Epoch 34, training loss 0.133:  31%|███▏      | 57/182 [01:11<02:36,  1.25s/it]
Epoch 34, training loss 0.132:  31%|███▏      | 57/182 [01:12<02:38,  1.27s/it]
Epoch 34, training loss 0.132:  32%|███▏      | 58/182 [01:12<02:35,  1.25s/it]
Epoch 34, training loss 0.131:  32%|███▏      | 58/182 [01:13<02:36,  1.26s/it]
Epoch 34, training loss 0.131:  32%|███▏      | 59/182 [01:13<02:34,  1.25s/it]
Epoch 34, training loss 0.129:  32%|███▏      | 59/182 [01:14<02:35,  1.26s/it]
Epoch 34, training loss 0.129:  33%|███▎      | 60/182 [01:14<02:32,  1.25s/it]
Epoch 34, training loss 0.130:  33%|███▎      | 60/182 [01:15<02:33,  1.26s/it]
Epoch 34, training loss 0.130:  34%|███▎      | 61/182 [01:16<02:30,  1.25s/it]
Epoch 34, training loss 0.128:  34%|███▎      | 61/182 [01:16<02:32,  1.26s/it]
Epoch 34, training loss 0.128:  34%|███▍      | 62/182 [01:17<02:29,  1.25s/it]
Epoch 34, training loss 0.128:  34%|███▍      | 62/182 [01:17<02:30,  1.26s/it]
Epoch 34, training loss 0.128:  35%|███▍      | 63/182 [01:18<02:28,  1.24s/it]
Epoch 34, training loss 0.127:  35%|███▍      | 63/182 [01:19<02:29,  1.26s/it]
Epoch 34, training loss 0.127:  35%|███▌      | 64/182 [01:19<02:26,  1.25s/it]
Epoch 34, training loss 0.126:  35%|███▌      | 64/182 [01:20<02:28,  1.26s/it]
Epoch 34, training loss 0.126:  36%|███▌      | 65/182 [01:20<02:25,  1.24s/it]
Epoch 34, training loss 0.125:  36%|███▌      | 65/182 [01:21<02:26,  1.25s/it]
Epoch 34, training loss 0.125:  36%|███▋      | 66/182 [01:22<02:24,  1.24s/it]
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Epoch 34, training loss 0.126:  37%|███▋      | 67/182 [01:23<02:22,  1.24s/it]
Epoch 34, training loss 0.128:  37%|███▋      | 67/182 [01:23<02:23,  1.25s/it]
Epoch 34, training loss 0.128:  37%|███▋      | 68/182 [01:24<02:21,  1.24s/it]
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Epoch 34, training loss 0.128:  38%|███▊      | 69/182 [01:25<02:19,  1.24s/it]
Epoch 34, training loss 0.126:  38%|███▊      | 69/182 [01:26<02:21,  1.25s/it]
Epoch 34, training loss 0.126:  38%|███▊      | 70/182 [01:26<02:18,  1.24s/it]
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Epoch 34, training loss 0.126:  39%|███▉      | 71/182 [01:27<02:17,  1.24s/it]
Epoch 34, training loss 0.124:  39%|███▉      | 71/182 [01:28<02:18,  1.25s/it]
Epoch 34, training loss 0.124:  40%|███▉      | 72/182 [01:29<02:16,  1.24s/it]
Epoch 34, training loss 0.124:  40%|███▉      | 72/182 [01:29<02:17,  1.25s/it]
Epoch 34, training loss 0.124:  40%|████      | 73/182 [01:30<02:14,  1.24s/it]
Epoch 34, training loss 0.123:  40%|████      | 73/182 [01:30<02:15,  1.25s/it]
Epoch 34, training loss 0.123:  41%|████      | 74/182 [01:31<02:13,  1.24s/it]
Epoch 34, training loss 0.123:  41%|████      | 74/182 [01:32<02:14,  1.24s/it]
Epoch 34, training loss 0.123:  41%|████      | 75/182 [01:32<02:12,  1.23s/it]
Epoch 34, training loss 0.123:  41%|████      | 75/182 [01:33<02:12,  1.24s/it]
Epoch 34, training loss 0.123:  42%|████▏     | 76/182 [01:33<02:10,  1.23s/it]
Epoch 34, training loss 0.122:  42%|████▏     | 76/182 [01:34<02:11,  1.24s/it]
Epoch 34, training loss 0.122:  42%|████▏     | 77/182 [01:34<02:09,  1.23s/it]
Epoch 34, training loss 0.124:  42%|████▏     | 77/182 [01:35<02:10,  1.24s/it]
Epoch 34, training loss 0.124:  43%|████▎     | 78/182 [01:35<02:07,  1.23s/it]
Epoch 34, training loss 0.126:  43%|████▎     | 78/182 [01:36<02:08,  1.24s/it]
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Epoch 34, training loss 0.127:  44%|████▍     | 80/182 [01:39<02:06,  1.24s/it]
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Epoch 34, training loss 0.126:  48%|████▊     | 87/182 [01:46<01:56,  1.22s/it]
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Epoch 34, training loss 0.125:  48%|████▊     | 88/182 [01:47<01:55,  1.22s/it]
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Epoch 34, training loss 0.125:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
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Epoch 34, training loss 0.125:  49%|████▉     | 90/182 [01:50<01:52,  1.22s/it]
Epoch 34, training loss 0.130:  49%|████▉     | 90/182 [01:50<01:53,  1.23s/it]
Epoch 34, training loss 0.130:  50%|█████     | 91/182 [01:51<01:51,  1.22s/it]
Epoch 34, training loss 0.129:  50%|█████     | 91/182 [01:51<01:51,  1.23s/it]
Epoch 34, training loss 0.129:  51%|█████     | 92/182 [01:52<01:49,  1.22s/it]
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Epoch 34, training loss 0.128:  51%|█████     | 93/182 [01:54<01:49,  1.23s/it]
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Epoch 34, training loss 0.130:  52%|█████▏    | 95/182 [01:55<01:46,  1.22s/it]
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Epoch 34, training loss 0.130:  53%|█████▎    | 96/182 [01:57<01:44,  1.22s/it]
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Epoch 34, training loss 0.131:  58%|█████▊    | 106/182 [02:09<01:32,  1.22s/it]
Epoch 34, training loss 0.131:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 34, training loss 0.131:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 34, training loss 0.131:  59%|█████▉    | 108/182 [02:11<01:30,  1.22s/it]
Epoch 34, training loss 0.130:  59%|█████▉    | 108/182 [02:11<01:30,  1.22s/it]
Epoch 34, training loss 0.130:  60%|█████▉    | 109/182 [02:12<01:28,  1.22s/it]
Epoch 34, training loss 0.132:  60%|█████▉    | 109/182 [02:13<01:29,  1.22s/it]
Epoch 34, training loss 0.132:  60%|██████    | 110/182 [02:13<01:27,  1.21s/it]
Epoch 34, training loss 0.132:  60%|██████    | 110/182 [02:14<01:27,  1.22s/it]
Epoch 34, training loss 0.132:  61%|██████    | 111/182 [02:14<01:26,  1.21s/it]
Epoch 34, training loss 0.132:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 34, training loss 0.132:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 34, training loss 0.131:  62%|██████▏   | 112/182 [02:16<01:25,  1.22s/it]
Epoch 34, training loss 0.131:  62%|██████▏   | 113/182 [02:17<01:23,  1.21s/it]
Epoch 34, training loss 0.131:  62%|██████▏   | 113/182 [02:17<01:24,  1.22s/it]
Epoch 34, training loss 0.131:  63%|██████▎   | 114/182 [02:18<01:22,  1.21s/it]
Epoch 34, training loss 0.130:  63%|██████▎   | 114/182 [02:19<01:22,  1.22s/it]
Epoch 34, training loss 0.130:  63%|██████▎   | 115/182 [02:19<01:21,  1.21s/it]
Epoch 34, training loss 0.132:  63%|██████▎   | 115/182 [02:20<01:21,  1.22s/it]
Epoch 34, training loss 0.132:  64%|██████▎   | 116/182 [02:20<01:20,  1.21s/it]
Epoch 34, training loss 0.131:  64%|██████▎   | 116/182 [02:21<01:20,  1.22s/it]
Epoch 34, training loss 0.131:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 34, training loss 0.130:  64%|██████▍   | 117/182 [02:22<01:19,  1.22s/it]
Epoch 34, training loss 0.130:  65%|██████▍   | 118/182 [02:23<01:17,  1.21s/it]
Epoch 34, training loss 0.130:  65%|██████▍   | 118/182 [02:23<01:17,  1.22s/it]
Epoch 34, training loss 0.130:  65%|██████▌   | 119/182 [02:24<01:16,  1.21s/it]
Epoch 34, training loss 0.131:  65%|██████▌   | 119/182 [02:24<01:16,  1.22s/it]
Epoch 34, training loss 0.131:  66%|██████▌   | 120/182 [02:25<01:15,  1.21s/it]
Epoch 34, training loss 0.130:  66%|██████▌   | 120/182 [02:25<01:15,  1.22s/it]
Epoch 34, training loss 0.130:  66%|██████▋   | 121/182 [02:26<01:13,  1.21s/it]
Epoch 34, training loss 0.130:  66%|██████▋   | 121/182 [02:27<01:14,  1.22s/it]
Epoch 34, training loss 0.130:  67%|██████▋   | 122/182 [02:27<01:12,  1.21s/it]
Epoch 34, training loss 0.129:  67%|██████▋   | 122/182 [02:28<01:12,  1.22s/it]
Epoch 34, training loss 0.129:  68%|██████▊   | 123/182 [02:28<01:11,  1.21s/it]
Epoch 34, training loss 0.129:  68%|██████▊   | 123/182 [02:29<01:11,  1.22s/it]
Epoch 34, training loss 0.129:  68%|██████▊   | 124/182 [02:30<01:10,  1.21s/it]
Epoch 34, training loss 0.129:  68%|██████▊   | 124/182 [02:30<01:10,  1.22s/it]
Epoch 34, training loss 0.129:  69%|██████▊   | 125/182 [02:31<01:08,  1.21s/it]
Epoch 34, training loss 0.128:  69%|██████▊   | 125/182 [02:31<01:09,  1.22s/it]
Epoch 34, training loss 0.128:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 34, training loss 0.127:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 34, training loss 0.127:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 34, training loss 0.129:  70%|██████▉   | 127/182 [02:34<01:06,  1.21s/it]
Epoch 34, training loss 0.129:  70%|███████   | 128/182 [02:34<01:05,  1.21s/it]
Epoch 34, training loss 0.129:  70%|███████   | 128/182 [02:35<01:05,  1.21s/it]
Epoch 34, training loss 0.129:  71%|███████   | 129/182 [02:35<01:04,  1.21s/it]
Epoch 34, training loss 0.130:  71%|███████   | 129/182 [02:36<01:04,  1.21s/it]
Epoch 34, training loss 0.130:  71%|███████▏  | 130/182 [02:37<01:02,  1.21s/it]
Epoch 34, training loss 0.129:  71%|███████▏  | 130/182 [02:37<01:03,  1.21s/it]
Epoch 34, training loss 0.129:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 34, training loss 0.129:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 34, training loss 0.129:  73%|███████▎  | 132/182 [02:39<01:00,  1.21s/it]
Epoch 34, training loss 0.128:  73%|███████▎  | 132/182 [02:40<01:00,  1.21s/it]
Epoch 34, training loss 0.128:  73%|███████▎  | 133/182 [02:40<00:59,  1.21s/it]
Epoch 34, training loss 0.127:  73%|███████▎  | 133/182 [02:41<00:59,  1.21s/it]
Epoch 34, training loss 0.127:  74%|███████▎  | 134/182 [02:41<00:57,  1.21s/it]
Epoch 34, training loss 0.127:  74%|███████▎  | 134/182 [02:42<00:58,  1.21s/it]
Epoch 34, training loss 0.127:  74%|███████▍  | 135/182 [02:42<00:56,  1.21s/it]
Epoch 34, training loss 0.126:  74%|███████▍  | 135/182 [02:43<00:56,  1.21s/it]
Epoch 34, training loss 0.126:  75%|███████▍  | 136/182 [02:43<00:55,  1.21s/it]
Epoch 34, training loss 0.125:  75%|███████▍  | 136/182 [02:44<00:55,  1.21s/it]
Epoch 34, training loss 0.125:  75%|███████▌  | 137/182 [02:45<00:54,  1.21s/it]
Epoch 34, training loss 0.125:  75%|███████▌  | 137/182 [02:45<00:54,  1.21s/it]
Epoch 34, training loss 0.125:  76%|███████▌  | 138/182 [02:46<00:53,  1.21s/it]
Epoch 34, training loss 0.125:  76%|███████▌  | 138/182 [02:47<00:53,  1.21s/it]
Epoch 34, training loss 0.125:  76%|███████▋  | 139/182 [02:47<00:51,  1.21s/it]
Epoch 34, training loss 0.124:  76%|███████▋  | 139/182 [02:48<00:52,  1.21s/it]
Epoch 34, training loss 0.124:  77%|███████▋  | 140/182 [02:48<00:50,  1.21s/it]
Epoch 34, training loss 0.124:  77%|███████▋  | 140/182 [02:49<00:50,  1.21s/it]
Epoch 34, training loss 0.124:  77%|███████▋  | 141/182 [02:49<00:49,  1.21s/it]
Epoch 34, training loss 0.123:  77%|███████▋  | 141/182 [02:50<00:49,  1.21s/it]
Epoch 34, training loss 0.123:  78%|███████▊  | 142/182 [02:51<00:48,  1.21s/it]
Epoch 34, training loss 0.123:  78%|███████▊  | 142/182 [02:51<00:48,  1.21s/it]
Epoch 34, training loss 0.123:  79%|███████▊  | 143/182 [02:52<00:47,  1.21s/it]
Epoch 34, training loss 0.122:  79%|███████▊  | 143/182 [02:53<00:47,  1.21s/it]
Epoch 34, training loss 0.122:  79%|███████▉  | 144/182 [02:53<00:45,  1.21s/it]
Epoch 34, training loss 0.123:  79%|███████▉  | 144/182 [02:54<00:46,  1.21s/it]
Epoch 34, training loss 0.123:  80%|███████▉  | 145/182 [02:54<00:44,  1.21s/it]
Epoch 34, training loss 0.123:  80%|███████▉  | 145/182 [02:55<00:44,  1.21s/it]
Epoch 34, training loss 0.123:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 34, training loss 0.122:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 34, training loss 0.122:  81%|████████  | 147/182 [02:57<00:42,  1.21s/it]
Epoch 34, training loss 0.122:  81%|████████  | 147/182 [02:58<00:42,  1.21s/it]
Epoch 34, training loss 0.122:  81%|████████▏ | 148/182 [02:58<00:41,  1.21s/it]
Epoch 34, training loss 0.122:  81%|████████▏ | 148/182 [02:59<00:41,  1.21s/it]
Epoch 34, training loss 0.122:  82%|████████▏ | 149/182 [02:59<00:39,  1.21s/it]
Epoch 34, training loss 0.121:  82%|████████▏ | 149/182 [03:00<00:39,  1.21s/it]
Epoch 34, training loss 0.121:  82%|████████▏ | 150/182 [03:00<00:38,  1.21s/it]
Epoch 34, training loss 0.121:  82%|████████▏ | 150/182 [03:01<00:38,  1.21s/it]
Epoch 34, training loss 0.121:  83%|████████▎ | 151/182 [03:01<00:37,  1.21s/it]
Epoch 34, training loss 0.120:  83%|████████▎ | 151/182 [03:02<00:37,  1.21s/it]
Epoch 34, training loss 0.120:  84%|████████▎ | 152/182 [03:03<00:36,  1.20s/it]
Epoch 34, training loss 0.120:  84%|████████▎ | 152/182 [03:03<00:36,  1.21s/it]
Epoch 34, training loss 0.120:  84%|████████▍ | 153/182 [03:04<00:34,  1.20s/it]
Epoch 34, training loss 0.120:  84%|████████▍ | 153/182 [03:05<00:35,  1.21s/it]
Epoch 34, training loss 0.120:  85%|████████▍ | 154/182 [03:05<00:33,  1.20s/it]
Epoch 34, training loss 0.120:  85%|████████▍ | 154/182 [03:06<00:33,  1.21s/it]
Epoch 34, training loss 0.120:  85%|████████▌ | 155/182 [03:06<00:32,  1.20s/it]
Epoch 34, training loss 0.120:  85%|████████▌ | 155/182 [03:07<00:32,  1.21s/it]
Epoch 34, training loss 0.120:  86%|████████▌ | 156/182 [03:07<00:31,  1.20s/it]
Epoch 34, training loss 0.120:  86%|████████▌ | 156/182 [03:08<00:31,  1.21s/it]
Epoch 34, training loss 0.120:  86%|████████▋ | 157/182 [03:09<00:30,  1.20s/it]
Epoch 34, training loss 0.119:  86%|████████▋ | 157/182 [03:09<00:30,  1.21s/it]
Epoch 34, training loss 0.119:  87%|████████▋ | 158/182 [03:10<00:28,  1.20s/it]
Epoch 34, training loss 0.119:  87%|████████▋ | 158/182 [03:10<00:29,  1.21s/it]
Epoch 34, training loss 0.119:  87%|████████▋ | 159/182 [03:11<00:27,  1.20s/it]
Epoch 34, training loss 0.119:  87%|████████▋ | 159/182 [03:12<00:27,  1.21s/it]
Epoch 34, training loss 0.119:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 34, training loss 0.119:  88%|████████▊ | 160/182 [03:13<00:26,  1.21s/it]
Epoch 34, training loss 0.119:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 34, training loss 0.119:  88%|████████▊ | 161/182 [03:14<00:25,  1.21s/it]
Epoch 34, training loss 0.119:  89%|████████▉ | 162/182 [03:14<00:24,  1.20s/it]
Epoch 34, training loss 0.118:  89%|████████▉ | 162/182 [03:15<00:24,  1.21s/it]
Epoch 34, training loss 0.118:  90%|████████▉ | 163/182 [03:16<00:22,  1.20s/it]
Epoch 34, training loss 0.118:  90%|████████▉ | 163/182 [03:16<00:22,  1.21s/it]
Epoch 34, training loss 0.118:  90%|█████████ | 164/182 [03:17<00:21,  1.20s/it]
Epoch 34, training loss 0.123:  90%|█████████ | 164/182 [03:17<00:21,  1.21s/it]
Epoch 34, training loss 0.123:  91%|█████████ | 165/182 [03:18<00:20,  1.20s/it]
Epoch 34, training loss 0.122:  91%|█████████ | 165/182 [03:18<00:20,  1.20s/it]
Epoch 34, training loss 0.122:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 34, training loss 0.126:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 34, training loss 0.126:  92%|█████████▏| 167/182 [03:20<00:18,  1.20s/it]
Epoch 34, training loss 0.125:  92%|█████████▏| 167/182 [03:21<00:18,  1.20s/it]
Epoch 34, training loss 0.125:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 34, training loss 0.125:  92%|█████████▏| 168/182 [03:22<00:16,  1.20s/it]
Epoch 34, training loss 0.125:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 34, training loss 0.125:  93%|█████████▎| 169/182 [03:23<00:15,  1.20s/it]
Epoch 34, training loss 0.125:  93%|█████████▎| 170/182 [03:23<00:14,  1.20s/it]
Epoch 34, training loss 0.125:  93%|█████████▎| 170/182 [03:24<00:14,  1.20s/it]
Epoch 34, training loss 0.125:  94%|█████████▍| 171/182 [03:25<00:13,  1.20s/it]
Epoch 34, training loss 0.124:  94%|█████████▍| 171/182 [03:25<00:13,  1.20s/it]
Epoch 34, training loss 0.124:  95%|█████████▍| 172/182 [03:26<00:11,  1.20s/it]
Epoch 34, training loss 0.124:  95%|█████████▍| 172/182 [03:26<00:12,  1.20s/it]
Epoch 34, training loss 0.124:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 34, training loss 0.124:  95%|█████████▌| 173/182 [03:28<00:10,  1.20s/it]
Epoch 34, training loss 0.124:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 34, training loss 0.123:  96%|█████████▌| 174/182 [03:29<00:09,  1.20s/it]
Epoch 34, training loss 0.123:  96%|█████████▌| 175/182 [03:29<00:08,  1.20s/it]
Epoch 34, training loss 0.123:  96%|█████████▌| 175/182 [03:30<00:08,  1.20s/it]
Epoch 34, training loss 0.123:  97%|█████████▋| 176/182 [03:30<00:07,  1.20s/it]
Epoch 34, training loss 0.125:  97%|█████████▋| 176/182 [03:31<00:07,  1.20s/it]
Epoch 34, training loss 0.125:  97%|█████████▋| 177/182 [03:32<00:05,  1.20s/it]
Epoch 34, training loss 0.130:  97%|█████████▋| 177/182 [03:32<00:06,  1.20s/it]
Epoch 34, training loss 0.130:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 34, training loss 0.130:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 34, training loss 0.130:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 34, training loss 0.130:  98%|█████████▊| 179/182 [03:35<00:03,  1.20s/it]
Epoch 34, training loss 0.130:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 34, training loss 0.129:  99%|█████████▉| 180/182 [03:36<00:02,  1.20s/it]
Epoch 34, training loss 0.129:  99%|█████████▉| 181/182 [03:36<00:01,  1.20s/it]
Epoch 34, training loss 0.130:  99%|█████████▉| 181/182 [03:37<00:01,  1.20s/it]
Epoch 34, training loss 0.130: 100%|██████████| 182/182 [03:37<00:00,  1.20s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.577:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.577:   1%|          | 1/90 [00:04<06:16,  4.24s/it]
Epoch 34, validation pixAcc: 0.978, mIoU: 0.729:   1%|          | 1/90 [00:04<06:58,  4.71s/it]
Epoch 34, validation pixAcc: 0.978, mIoU: 0.729:   2%|▏         | 2/90 [00:04<03:27,  2.35s/it]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.795:   2%|▏         | 2/90 [00:05<03:44,  2.55s/it]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.795:   3%|▎         | 3/90 [00:05<02:27,  1.70s/it]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.846:   3%|▎         | 3/90 [00:05<02:40,  1.84s/it]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.846:   4%|▍         | 4/90 [00:05<01:58,  1.38s/it]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.899:   4%|▍         | 4/90 [00:05<02:08,  1.50s/it]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.899:   6%|▌         | 5/90 [00:05<01:41,  1.20s/it]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.903:   6%|▌         | 5/90 [00:06<01:49,  1.29s/it]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.903:   7%|▋         | 6/90 [00:06<01:30,  1.08s/it]
Epoch 34, validation pixAcc: 0.978, mIoU: 0.895:   7%|▋         | 6/90 [00:06<01:36,  1.14s/it]
Epoch 34, validation pixAcc: 0.978, mIoU: 0.895:   8%|▊         | 7/90 [00:06<01:21,  1.02it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.898:   8%|▊         | 7/90 [00:07<01:26,  1.04s/it]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.898:   9%|▉         | 8/90 [00:07<01:14,  1.09it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.900:   9%|▉         | 8/90 [00:07<01:19,  1.03it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.900:  10%|█         | 9/90 [00:07<01:09,  1.16it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.907:  10%|█         | 9/90 [00:08<01:14,  1.09it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.907:  11%|█         | 10/90 [00:08<01:05,  1.21it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.907:  11%|█         | 10/90 [00:08<01:09,  1.15it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.907:  12%|█▏        | 11/90 [00:08<01:02,  1.26it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.905:  12%|█▏        | 11/90 [00:09<01:05,  1.21it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.905:  13%|█▎        | 12/90 [00:09<00:59,  1.32it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.909:  13%|█▎        | 12/90 [00:09<01:02,  1.25it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.909:  14%|█▍        | 13/90 [00:09<00:56,  1.36it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.913:  14%|█▍        | 13/90 [00:10<00:59,  1.29it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.913:  16%|█▌        | 14/90 [00:10<00:54,  1.39it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.915:  16%|█▌        | 14/90 [00:10<00:56,  1.34it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.915:  17%|█▋        | 15/90 [00:10<00:52,  1.43it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.919:  17%|█▋        | 15/90 [00:10<00:54,  1.37it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.919:  18%|█▊        | 16/90 [00:10<00:50,  1.46it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.917:  18%|█▊        | 16/90 [00:11<00:52,  1.41it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.917:  19%|█▉        | 17/90 [00:11<00:48,  1.50it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.914:  19%|█▉        | 17/90 [00:11<00:50,  1.44it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.914:  20%|██        | 18/90 [00:11<00:47,  1.53it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.909:  20%|██        | 18/90 [00:12<00:48,  1.48it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.909:  21%|██        | 19/90 [00:12<00:45,  1.56it/s]
Epoch 34, validation pixAcc: 0.978, mIoU: 0.907:  21%|██        | 19/90 [00:12<00:47,  1.50it/s]
Epoch 34, validation pixAcc: 0.978, mIoU: 0.907:  22%|██▏       | 20/90 [00:12<00:44,  1.58it/s]
Epoch 34, validation pixAcc: 0.978, mIoU: 0.908:  22%|██▏       | 20/90 [00:13<00:45,  1.53it/s]
Epoch 34, validation pixAcc: 0.978, mIoU: 0.908:  23%|██▎       | 21/90 [00:13<00:42,  1.60it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.908:  23%|██▎       | 21/90 [00:13<00:44,  1.55it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.908:  24%|██▍       | 22/90 [00:13<00:41,  1.62it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.910:  24%|██▍       | 22/90 [00:13<00:43,  1.57it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.910:  26%|██▌       | 23/90 [00:13<00:40,  1.64it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.908:  26%|██▌       | 23/90 [00:14<00:42,  1.59it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.908:  27%|██▋       | 24/90 [00:14<00:39,  1.66it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.909:  27%|██▋       | 24/90 [00:14<00:40,  1.62it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.909:  28%|██▊       | 25/90 [00:14<00:38,  1.68it/s]
Epoch 34, validation pixAcc: 0.978, mIoU: 0.909:  28%|██▊       | 25/90 [00:15<00:39,  1.63it/s]
Epoch 34, validation pixAcc: 0.978, mIoU: 0.909:  29%|██▉       | 26/90 [00:15<00:37,  1.70it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.913:  29%|██▉       | 26/90 [00:15<00:38,  1.65it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.913:  30%|███       | 27/90 [00:15<00:36,  1.71it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.914:  30%|███       | 27/90 [00:16<00:37,  1.67it/s]
Epoch 34, validation pixAcc: 0.979, mIoU: 0.914:  31%|███       | 28/90 [00:16<00:35,  1.73it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.914:  31%|███       | 28/90 [00:16<00:36,  1.69it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.914:  32%|███▏      | 29/90 [00:16<00:34,  1.75it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.916:  32%|███▏      | 29/90 [00:17<00:35,  1.70it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.916:  33%|███▎      | 30/90 [00:17<00:34,  1.76it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.917:  33%|███▎      | 30/90 [00:17<00:34,  1.72it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.917:  34%|███▍      | 31/90 [00:17<00:33,  1.77it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.918:  34%|███▍      | 31/90 [00:17<00:34,  1.73it/s]
Epoch 34, validation pixAcc: 0.980, mIoU: 0.918:  36%|███▌      | 32/90 [00:17<00:32,  1.78it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.919:  36%|███▌      | 32/90 [00:18<00:33,  1.74it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.919:  37%|███▋      | 33/90 [00:18<00:31,  1.80it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.919:  37%|███▋      | 33/90 [00:18<00:32,  1.75it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.919:  38%|███▊      | 34/90 [00:18<00:31,  1.80it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.919:  38%|███▊      | 34/90 [00:19<00:31,  1.77it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.919:  39%|███▉      | 35/90 [00:19<00:30,  1.82it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.919:  39%|███▉      | 35/90 [00:19<00:30,  1.78it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.919:  40%|████      | 36/90 [00:19<00:29,  1.83it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.919:  40%|████      | 36/90 [00:20<00:30,  1.79it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.919:  41%|████      | 37/90 [00:20<00:28,  1.84it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.920:  41%|████      | 37/90 [00:20<00:29,  1.80it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.920:  42%|████▏     | 38/90 [00:20<00:28,  1.85it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.920:  42%|████▏     | 38/90 [00:20<00:28,  1.81it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.920:  43%|████▎     | 39/90 [00:20<00:27,  1.86it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.920:  43%|████▎     | 39/90 [00:21<00:27,  1.82it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.920:  44%|████▍     | 40/90 [00:21<00:26,  1.87it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.920:  44%|████▍     | 40/90 [00:21<00:27,  1.84it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.920:  46%|████▌     | 41/90 [00:21<00:26,  1.88it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.921:  46%|████▌     | 41/90 [00:22<00:26,  1.84it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.921:  47%|████▋     | 42/90 [00:22<00:25,  1.89it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.922:  47%|████▋     | 42/90 [00:22<00:25,  1.85it/s]
Epoch 34, validation pixAcc: 0.981, mIoU: 0.922:  48%|████▊     | 43/90 [00:22<00:24,  1.90it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  48%|████▊     | 43/90 [00:23<00:25,  1.86it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 44/90 [00:23<00:24,  1.90it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 44/90 [00:23<00:24,  1.87it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  50%|█████     | 45/90 [00:23<00:23,  1.91it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  50%|█████     | 45/90 [00:24<00:24,  1.87it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/90 [00:24<00:22,  1.92it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/90 [00:24<00:23,  1.88it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  52%|█████▏    | 47/90 [00:24<00:22,  1.92it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  52%|█████▏    | 47/90 [00:24<00:22,  1.89it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/90 [00:24<00:21,  1.93it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/90 [00:25<00:22,  1.90it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/90 [00:25<00:21,  1.94it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/90 [00:25<00:21,  1.90it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  56%|█████▌    | 50/90 [00:25<00:20,  1.94it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.923:  56%|█████▌    | 50/90 [00:26<00:20,  1.91it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 51/90 [00:26<00:19,  1.95it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 51/90 [00:26<00:20,  1.92it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.923:  58%|█████▊    | 52/90 [00:26<00:19,  1.96it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.921:  58%|█████▊    | 52/90 [00:27<00:19,  1.92it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.921:  59%|█████▉    | 53/90 [00:27<00:18,  1.96it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  59%|█████▉    | 53/90 [00:27<00:19,  1.93it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  60%|██████    | 54/90 [00:27<00:18,  1.97it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  60%|██████    | 54/90 [00:27<00:18,  1.93it/s]
Epoch 34, validation pixAcc: 0.982, mIoU: 0.922:  61%|██████    | 55/90 [00:27<00:17,  1.97it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.923:  61%|██████    | 55/90 [00:28<00:18,  1.94it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.923:  62%|██████▏   | 56/90 [00:28<00:17,  1.97it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.923:  62%|██████▏   | 56/90 [00:28<00:17,  1.94it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/90 [00:28<00:16,  1.98it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/90 [00:29<00:16,  1.95it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▍   | 58/90 [00:29<00:16,  1.98it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.922:  64%|██████▍   | 58/90 [00:29<00:16,  1.95it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.922:  66%|██████▌   | 59/90 [00:29<00:15,  1.99it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.923:  66%|██████▌   | 59/90 [00:30<00:15,  1.96it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.923:  67%|██████▋   | 60/90 [00:30<00:15,  2.00it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.923:  67%|██████▋   | 60/90 [00:30<00:15,  1.97it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.923:  68%|██████▊   | 61/90 [00:30<00:14,  2.00it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 61/90 [00:30<00:14,  1.97it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 62/90 [00:30<00:13,  2.01it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 62/90 [00:31<00:14,  1.98it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.924:  70%|███████   | 63/90 [00:31<00:13,  2.01it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 63/90 [00:31<00:13,  1.98it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████   | 64/90 [00:31<00:12,  2.02it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████   | 64/90 [00:32<00:13,  1.99it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  72%|███████▏  | 65/90 [00:32<00:12,  2.02it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  72%|███████▏  | 65/90 [00:32<00:12,  1.99it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  73%|███████▎  | 66/90 [00:32<00:11,  2.03it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  73%|███████▎  | 66/90 [00:33<00:12,  2.00it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▍  | 67/90 [00:33<00:11,  2.03it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▍  | 67/90 [00:33<00:11,  2.00it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 68/90 [00:33<00:10,  2.03it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 68/90 [00:33<00:10,  2.01it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  77%|███████▋  | 69/90 [00:33<00:10,  2.04it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  77%|███████▋  | 69/90 [00:34<00:10,  2.01it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  78%|███████▊  | 70/90 [00:34<00:09,  2.04it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.926:  78%|███████▊  | 70/90 [00:34<00:09,  2.01it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.926:  79%|███████▉  | 71/90 [00:34<00:09,  2.04it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.926:  79%|███████▉  | 71/90 [00:35<00:09,  2.02it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.926:  80%|████████  | 72/90 [00:35<00:08,  2.04it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  80%|████████  | 72/90 [00:35<00:08,  2.02it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.925:  81%|████████  | 73/90 [00:35<00:08,  2.05it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.926:  81%|████████  | 73/90 [00:36<00:08,  2.02it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.926:  82%|████████▏ | 74/90 [00:36<00:07,  2.05it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.926:  82%|████████▏ | 74/90 [00:36<00:07,  2.03it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.926:  83%|████████▎ | 75/90 [00:36<00:07,  2.06it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.926:  83%|████████▎ | 75/90 [00:36<00:07,  2.04it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.926:  84%|████████▍ | 76/90 [00:36<00:06,  2.06it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.926:  84%|████████▍ | 76/90 [00:37<00:06,  2.04it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.926:  86%|████████▌ | 77/90 [00:37<00:06,  2.06it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.926:  86%|████████▌ | 77/90 [00:37<00:06,  2.04it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.926:  87%|████████▋ | 78/90 [00:37<00:05,  2.07it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.927:  87%|████████▋ | 78/90 [00:38<00:05,  2.04it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.927:  88%|████████▊ | 79/90 [00:38<00:05,  2.07it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.927:  88%|████████▊ | 79/90 [00:38<00:05,  2.05it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.927:  89%|████████▉ | 80/90 [00:38<00:04,  2.07it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.927:  89%|████████▉ | 80/90 [00:39<00:04,  2.05it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.927:  90%|█████████ | 81/90 [00:39<00:04,  2.08it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  90%|█████████ | 81/90 [00:39<00:04,  2.05it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  91%|█████████ | 82/90 [00:39<00:03,  2.08it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  91%|█████████ | 82/90 [00:39<00:03,  2.06it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  92%|█████████▏| 83/90 [00:39<00:03,  2.08it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  92%|█████████▏| 83/90 [00:40<00:03,  2.06it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 84/90 [00:40<00:02,  2.08it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 84/90 [00:40<00:02,  2.06it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  94%|█████████▍| 85/90 [00:40<00:02,  2.09it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  94%|█████████▍| 85/90 [00:41<00:02,  2.07it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 86/90 [00:41<00:01,  2.09it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 86/90 [00:41<00:01,  2.07it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 87/90 [00:41<00:01,  2.09it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 87/90 [00:41<00:01,  2.08it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 88/90 [00:41<00:00,  2.10it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 88/90 [00:42<00:00,  2.08it/s]
Epoch 34, validation pixAcc: 0.984, mIoU: 0.928:  99%|█████████▉| 89/90 [00:42<00:00,  2.10it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.927:  99%|█████████▉| 89/90 [00:42<00:00,  2.08it/s]
Epoch 34, validation pixAcc: 0.983, mIoU: 0.927: 100%|██████████| 90/90 [00:42<00:00,  2.11it/s]

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Epoch 35, training loss 0.034:   0%|          | 0/182 [00:04<?, ?it/s]
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Epoch 35, training loss 0.089:   1%|          | 2/182 [00:07<10:47,  3.59s/it]
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Epoch 35, training loss 0.093:   3%|▎         | 5/182 [00:10<05:56,  2.01s/it]
Epoch 35, training loss 0.090:   3%|▎         | 5/182 [00:10<06:18,  2.14s/it]
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Epoch 35, training loss 0.088:   3%|▎         | 6/182 [00:11<05:46,  1.97s/it]
Epoch 35, training loss 0.088:   4%|▍         | 7/182 [00:12<05:06,  1.75s/it]
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Epoch 35, training loss 0.098:   5%|▌         | 10/182 [00:16<04:41,  1.63s/it]
Epoch 35, training loss 0.098:   6%|▌         | 11/182 [00:16<04:22,  1.53s/it]
Epoch 35, training loss 0.094:   6%|▌         | 11/182 [00:17<04:32,  1.59s/it]
Epoch 35, training loss 0.094:   7%|▋         | 12/182 [00:17<04:14,  1.50s/it]
Epoch 35, training loss 0.123:   7%|▋         | 12/182 [00:18<04:23,  1.55s/it]
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Epoch 35, training loss 0.123:   7%|▋         | 13/182 [00:19<04:16,  1.52s/it]
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Epoch 35, training loss 0.117:   8%|▊         | 14/182 [00:20<04:10,  1.49s/it]
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Epoch 35, training loss 0.112:   8%|▊         | 15/182 [00:22<04:05,  1.47s/it]
Epoch 35, training loss 0.112:   9%|▉         | 16/182 [00:22<03:53,  1.41s/it]
Epoch 35, training loss 0.109:   9%|▉         | 16/182 [00:23<04:01,  1.45s/it]
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Epoch 35, training loss 0.104:   9%|▉         | 17/182 [00:24<03:57,  1.44s/it]
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Epoch 35, training loss 0.103:  11%|█         | 20/182 [00:27<03:40,  1.36s/it]
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Epoch 35, training loss 0.102:  14%|█▎        | 25/182 [00:32<03:26,  1.31s/it]
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Epoch 35, training loss 0.099:  14%|█▍        | 26/182 [00:34<03:28,  1.34s/it]
Epoch 35, training loss 0.099:  15%|█▍        | 27/182 [00:35<03:22,  1.31s/it]
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Epoch 35, training loss 0.097:  16%|█▌        | 29/182 [00:37<03:18,  1.30s/it]
Epoch 35, training loss 0.095:  16%|█▌        | 29/182 [00:38<03:21,  1.32s/it]
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Epoch 35, training loss 0.092:  18%|█▊        | 32/182 [00:41<03:12,  1.28s/it]
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Epoch 35, training loss 0.093:  19%|█▊        | 34/182 [00:43<03:09,  1.28s/it]
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Epoch 35, training loss 0.103:  20%|██        | 37/182 [00:47<03:06,  1.29s/it]
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Epoch 35, training loss 0.101:  22%|██▏       | 40/182 [00:50<02:58,  1.26s/it]
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Epoch 35, training loss 0.107:  23%|██▎       | 41/182 [00:52<02:59,  1.28s/it]
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Epoch 35, training loss 0.107:  25%|██▍       | 45/182 [00:56<02:51,  1.25s/it]
Epoch 35, training loss 0.117:  25%|██▍       | 45/182 [00:56<02:52,  1.26s/it]
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Epoch 35, training loss 0.117:  26%|██▌       | 47/182 [00:58<02:47,  1.24s/it]
Epoch 35, training loss 0.116:  26%|██▌       | 47/182 [00:59<02:49,  1.26s/it]
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Epoch 35, training loss 0.117:  27%|██▋       | 49/182 [01:00<02:44,  1.24s/it]
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Epoch 35, training loss 0.114:  28%|██▊       | 51/182 [01:03<02:43,  1.25s/it]
Epoch 35, training loss 0.114:  29%|██▊       | 52/182 [01:04<02:40,  1.24s/it]
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Epoch 35, training loss 0.113:  31%|███       | 56/182 [01:08<02:34,  1.23s/it]
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Epoch 35, training loss 0.115:  32%|███▏      | 59/182 [01:13<02:32,  1.24s/it]
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Epoch 35, training loss 0.114:  34%|███▍      | 62/182 [01:16<02:27,  1.23s/it]
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Epoch 35, training loss 0.115:  35%|███▌      | 64/182 [01:18<02:24,  1.22s/it]
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Epoch 35, training loss 0.115:  36%|███▌      | 65/182 [01:19<02:23,  1.22s/it]
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Epoch 35, training loss 0.111:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
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Epoch 35, training loss 0.105:  54%|█████▍    | 99/182 [01:59<01:39,  1.20s/it]
Epoch 35, training loss 0.105:  54%|█████▍    | 99/182 [02:00<01:40,  1.21s/it]
Epoch 35, training loss 0.105:  55%|█████▍    | 100/182 [02:00<01:38,  1.21s/it]
Epoch 35, training loss 0.105:  55%|█████▍    | 100/182 [02:01<01:39,  1.21s/it]
Epoch 35, training loss 0.105:  55%|█████▌    | 101/182 [02:01<01:37,  1.20s/it]
Epoch 35, training loss 0.105:  55%|█████▌    | 101/182 [02:02<01:38,  1.21s/it]
Epoch 35, training loss 0.105:  56%|█████▌    | 102/182 [02:02<01:36,  1.21s/it]
Epoch 35, training loss 0.104:  56%|█████▌    | 102/182 [02:03<01:36,  1.21s/it]
Epoch 35, training loss 0.104:  57%|█████▋    | 103/182 [02:04<01:35,  1.20s/it]
Epoch 35, training loss 0.104:  57%|█████▋    | 103/182 [02:04<01:35,  1.21s/it]
Epoch 35, training loss 0.104:  57%|█████▋    | 104/182 [02:05<01:33,  1.20s/it]
Epoch 35, training loss 0.104:  57%|█████▋    | 104/182 [02:05<01:34,  1.21s/it]
Epoch 35, training loss 0.104:  58%|█████▊    | 105/182 [02:06<01:32,  1.20s/it]
Epoch 35, training loss 0.104:  58%|█████▊    | 105/182 [02:06<01:33,  1.21s/it]
Epoch 35, training loss 0.104:  58%|█████▊    | 106/182 [02:07<01:31,  1.20s/it]
Epoch 35, training loss 0.104:  58%|█████▊    | 106/182 [02:08<01:31,  1.21s/it]
Epoch 35, training loss 0.104:  59%|█████▉    | 107/182 [02:08<01:30,  1.20s/it]
Epoch 35, training loss 0.104:  59%|█████▉    | 107/182 [02:09<01:30,  1.21s/it]
Epoch 35, training loss 0.104:  59%|█████▉    | 108/182 [02:09<01:28,  1.20s/it]
Epoch 35, training loss 0.104:  59%|█████▉    | 108/182 [02:10<01:29,  1.21s/it]
Epoch 35, training loss 0.104:  60%|█████▉    | 109/182 [02:10<01:27,  1.20s/it]
Epoch 35, training loss 0.105:  60%|█████▉    | 109/182 [02:11<01:28,  1.21s/it]
Epoch 35, training loss 0.105:  60%|██████    | 110/182 [02:12<01:26,  1.20s/it]
Epoch 35, training loss 0.107:  60%|██████    | 110/182 [02:12<01:26,  1.21s/it]
Epoch 35, training loss 0.107:  61%|██████    | 111/182 [02:13<01:25,  1.20s/it]
Epoch 35, training loss 0.108:  61%|██████    | 111/182 [02:13<01:25,  1.21s/it]
Epoch 35, training loss 0.108:  62%|██████▏   | 112/182 [02:14<01:23,  1.20s/it]
Epoch 35, training loss 0.108:  62%|██████▏   | 112/182 [02:14<01:24,  1.21s/it]
Epoch 35, training loss 0.108:  62%|██████▏   | 113/182 [02:15<01:22,  1.20s/it]
Epoch 35, training loss 0.108:  62%|██████▏   | 113/182 [02:16<01:23,  1.20s/it]
Epoch 35, training loss 0.108:  63%|██████▎   | 114/182 [02:16<01:21,  1.20s/it]
Epoch 35, training loss 0.108:  63%|██████▎   | 114/182 [02:17<01:21,  1.20s/it]
Epoch 35, training loss 0.108:  63%|██████▎   | 115/182 [02:17<01:20,  1.20s/it]
Epoch 35, training loss 0.107:  63%|██████▎   | 115/182 [02:18<01:20,  1.20s/it]
Epoch 35, training loss 0.107:  64%|██████▎   | 116/182 [02:19<01:19,  1.20s/it]
Epoch 35, training loss 0.107:  64%|██████▎   | 116/182 [02:19<01:19,  1.20s/it]
Epoch 35, training loss 0.107:  64%|██████▍   | 117/182 [02:20<01:17,  1.20s/it]
Epoch 35, training loss 0.107:  64%|██████▍   | 117/182 [02:20<01:18,  1.20s/it]
Epoch 35, training loss 0.107:  65%|██████▍   | 118/182 [02:21<01:16,  1.20s/it]
Epoch 35, training loss 0.107:  65%|██████▍   | 118/182 [02:21<01:16,  1.20s/it]
Epoch 35, training loss 0.107:  65%|██████▌   | 119/182 [02:22<01:15,  1.20s/it]
Epoch 35, training loss 0.106:  65%|██████▌   | 119/182 [02:23<01:15,  1.20s/it]
Epoch 35, training loss 0.106:  66%|██████▌   | 120/182 [02:23<01:14,  1.20s/it]
Epoch 35, training loss 0.107:  66%|██████▌   | 120/182 [02:24<01:14,  1.20s/it]
Epoch 35, training loss 0.107:  66%|██████▋   | 121/182 [02:24<01:12,  1.20s/it]
Epoch 35, training loss 0.107:  66%|██████▋   | 121/182 [02:25<01:13,  1.20s/it]
Epoch 35, training loss 0.107:  67%|██████▋   | 122/182 [02:25<01:11,  1.20s/it]
Epoch 35, training loss 0.107:  67%|██████▋   | 122/182 [02:26<01:12,  1.20s/it]
Epoch 35, training loss 0.107:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 35, training loss 0.106:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 35, training loss 0.106:  68%|██████▊   | 124/182 [02:28<01:09,  1.20s/it]
Epoch 35, training loss 0.106:  68%|██████▊   | 124/182 [02:28<01:09,  1.20s/it]
Epoch 35, training loss 0.106:  69%|██████▊   | 125/182 [02:29<01:08,  1.20s/it]
Epoch 35, training loss 0.106:  69%|██████▊   | 125/182 [02:30<01:08,  1.20s/it]
Epoch 35, training loss 0.106:  69%|██████▉   | 126/182 [02:30<01:06,  1.19s/it]
Epoch 35, training loss 0.106:  69%|██████▉   | 126/182 [02:31<01:07,  1.20s/it]
Epoch 35, training loss 0.106:  70%|██████▉   | 127/182 [02:31<01:05,  1.19s/it]
Epoch 35, training loss 0.107:  70%|██████▉   | 127/182 [02:32<01:05,  1.20s/it]
Epoch 35, training loss 0.107:  70%|███████   | 128/182 [02:32<01:04,  1.19s/it]
Epoch 35, training loss 0.106:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 35, training loss 0.106:  71%|███████   | 129/182 [02:33<01:03,  1.19s/it]
Epoch 35, training loss 0.106:  71%|███████   | 129/182 [02:34<01:03,  1.20s/it]
Epoch 35, training loss 0.106:  71%|███████▏  | 130/182 [02:35<01:02,  1.19s/it]
Epoch 35, training loss 0.105:  71%|███████▏  | 130/182 [02:35<01:02,  1.20s/it]
Epoch 35, training loss 0.105:  72%|███████▏  | 131/182 [02:36<01:00,  1.19s/it]
Epoch 35, training loss 0.105:  72%|███████▏  | 131/182 [02:36<01:01,  1.20s/it]
Epoch 35, training loss 0.105:  73%|███████▎  | 132/182 [02:37<00:59,  1.19s/it]
Epoch 35, training loss 0.105:  73%|███████▎  | 132/182 [02:38<00:59,  1.20s/it]
Epoch 35, training loss 0.105:  73%|███████▎  | 133/182 [02:38<00:58,  1.19s/it]
Epoch 35, training loss 0.105:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 35, training loss 0.105:  74%|███████▎  | 134/182 [02:39<00:57,  1.19s/it]
Epoch 35, training loss 0.105:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
Epoch 35, training loss 0.105:  74%|███████▍  | 135/182 [02:40<00:55,  1.19s/it]
Epoch 35, training loss 0.104:  74%|███████▍  | 135/182 [02:41<00:56,  1.20s/it]
Epoch 35, training loss 0.104:  75%|███████▍  | 136/182 [02:42<00:54,  1.19s/it]
Epoch 35, training loss 0.105:  75%|███████▍  | 136/182 [02:42<00:55,  1.20s/it]
Epoch 35, training loss 0.105:  75%|███████▌  | 137/182 [02:43<00:53,  1.19s/it]
Epoch 35, training loss 0.105:  75%|███████▌  | 137/182 [02:43<00:53,  1.20s/it]
Epoch 35, training loss 0.105:  76%|███████▌  | 138/182 [02:44<00:52,  1.19s/it]
Epoch 35, training loss 0.104:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 35, training loss 0.104:  76%|███████▋  | 139/182 [02:45<00:51,  1.19s/it]
Epoch 35, training loss 0.104:  76%|███████▋  | 139/182 [02:46<00:51,  1.19s/it]
Epoch 35, training loss 0.104:  77%|███████▋  | 140/182 [02:46<00:49,  1.19s/it]
Epoch 35, training loss 0.104:  77%|███████▋  | 140/182 [02:47<00:50,  1.19s/it]
Epoch 35, training loss 0.104:  77%|███████▋  | 141/182 [02:47<00:48,  1.19s/it]
Epoch 35, training loss 0.104:  77%|███████▋  | 141/182 [02:48<00:48,  1.19s/it]
Epoch 35, training loss 0.104:  78%|███████▊  | 142/182 [02:48<00:47,  1.19s/it]
Epoch 35, training loss 0.105:  78%|███████▊  | 142/182 [02:49<00:47,  1.19s/it]
Epoch 35, training loss 0.105:  79%|███████▊  | 143/182 [02:49<00:46,  1.19s/it]
Epoch 35, training loss 0.105:  79%|███████▊  | 143/182 [02:50<00:46,  1.19s/it]
Epoch 35, training loss 0.105:  79%|███████▉  | 144/182 [02:51<00:45,  1.19s/it]
Epoch 35, training loss 0.105:  79%|███████▉  | 144/182 [02:51<00:45,  1.19s/it]
Epoch 35, training loss 0.105:  80%|███████▉  | 145/182 [02:52<00:43,  1.19s/it]
Epoch 35, training loss 0.105:  80%|███████▉  | 145/182 [02:52<00:44,  1.19s/it]
Epoch 35, training loss 0.105:  80%|████████  | 146/182 [02:53<00:42,  1.19s/it]
Epoch 35, training loss 0.105:  80%|████████  | 146/182 [02:54<00:42,  1.19s/it]
Epoch 35, training loss 0.105:  81%|████████  | 147/182 [02:54<00:41,  1.19s/it]
Epoch 35, training loss 0.105:  81%|████████  | 147/182 [02:55<00:41,  1.19s/it]
Epoch 35, training loss 0.105:  81%|████████▏ | 148/182 [02:55<00:40,  1.19s/it]
Epoch 35, training loss 0.105:  81%|████████▏ | 148/182 [02:56<00:40,  1.19s/it]
Epoch 35, training loss 0.105:  82%|████████▏ | 149/182 [02:56<00:39,  1.19s/it]
Epoch 35, training loss 0.105:  82%|████████▏ | 149/182 [02:57<00:39,  1.19s/it]
Epoch 35, training loss 0.105:  82%|████████▏ | 150/182 [02:57<00:37,  1.19s/it]
Epoch 35, training loss 0.104:  82%|████████▏ | 150/182 [02:58<00:38,  1.19s/it]
Epoch 35, training loss 0.104:  83%|████████▎ | 151/182 [02:59<00:36,  1.19s/it]
Epoch 35, training loss 0.106:  83%|████████▎ | 151/182 [02:59<00:36,  1.19s/it]
Epoch 35, training loss 0.106:  84%|████████▎ | 152/182 [03:00<00:35,  1.19s/it]
Epoch 35, training loss 0.106:  84%|████████▎ | 152/182 [03:00<00:35,  1.19s/it]
Epoch 35, training loss 0.106:  84%|████████▍ | 153/182 [03:01<00:34,  1.19s/it]
Epoch 35, training loss 0.106:  84%|████████▍ | 153/182 [03:01<00:34,  1.19s/it]
Epoch 35, training loss 0.106:  85%|████████▍ | 154/182 [03:02<00:33,  1.18s/it]
Epoch 35, training loss 0.106:  85%|████████▍ | 154/182 [03:03<00:33,  1.19s/it]
Epoch 35, training loss 0.106:  85%|████████▌ | 155/182 [03:03<00:31,  1.18s/it]
Epoch 35, training loss 0.106:  85%|████████▌ | 155/182 [03:04<00:32,  1.19s/it]
Epoch 35, training loss 0.106:  86%|████████▌ | 156/182 [03:04<00:30,  1.18s/it]
Epoch 35, training loss 0.108:  86%|████████▌ | 156/182 [03:05<00:30,  1.19s/it]
Epoch 35, training loss 0.108:  86%|████████▋ | 157/182 [03:06<00:29,  1.19s/it]
Epoch 35, training loss 0.108:  86%|████████▋ | 157/182 [03:06<00:29,  1.19s/it]
Epoch 35, training loss 0.108:  87%|████████▋ | 158/182 [03:07<00:28,  1.18s/it]
Epoch 35, training loss 0.108:  87%|████████▋ | 158/182 [03:07<00:28,  1.19s/it]
Epoch 35, training loss 0.108:  87%|████████▋ | 159/182 [03:08<00:27,  1.18s/it]
Epoch 35, training loss 0.107:  87%|████████▋ | 159/182 [03:09<00:27,  1.19s/it]
Epoch 35, training loss 0.107:  88%|████████▊ | 160/182 [03:09<00:26,  1.18s/it]
Epoch 35, training loss 0.107:  88%|████████▊ | 160/182 [03:10<00:26,  1.19s/it]
Epoch 35, training loss 0.107:  88%|████████▊ | 161/182 [03:10<00:24,  1.18s/it]
Epoch 35, training loss 0.107:  88%|████████▊ | 161/182 [03:11<00:24,  1.19s/it]
Epoch 35, training loss 0.107:  89%|████████▉ | 162/182 [03:11<00:23,  1.18s/it]
Epoch 35, training loss 0.108:  89%|████████▉ | 162/182 [03:12<00:23,  1.19s/it]
Epoch 35, training loss 0.108:  90%|████████▉ | 163/182 [03:12<00:22,  1.18s/it]
Epoch 35, training loss 0.108:  90%|████████▉ | 163/182 [03:13<00:22,  1.19s/it]
Epoch 35, training loss 0.108:  90%|█████████ | 164/182 [03:14<00:21,  1.18s/it]
Epoch 35, training loss 0.107:  90%|█████████ | 164/182 [03:14<00:21,  1.19s/it]
Epoch 35, training loss 0.107:  91%|█████████ | 165/182 [03:15<00:20,  1.18s/it]
Epoch 35, training loss 0.107:  91%|█████████ | 165/182 [03:16<00:20,  1.19s/it]
Epoch 35, training loss 0.107:  91%|█████████ | 166/182 [03:16<00:18,  1.18s/it]
Epoch 35, training loss 0.107:  91%|█████████ | 166/182 [03:17<00:19,  1.19s/it]
Epoch 35, training loss 0.107:  92%|█████████▏| 167/182 [03:17<00:17,  1.18s/it]
Epoch 35, training loss 0.107:  92%|█████████▏| 167/182 [03:18<00:17,  1.19s/it]
Epoch 35, training loss 0.107:  92%|█████████▏| 168/182 [03:18<00:16,  1.18s/it]
Epoch 35, training loss 0.107:  92%|█████████▏| 168/182 [03:19<00:16,  1.19s/it]
Epoch 35, training loss 0.107:  93%|█████████▎| 169/182 [03:20<00:15,  1.18s/it]
Epoch 35, training loss 0.106:  93%|█████████▎| 169/182 [03:20<00:15,  1.19s/it]
Epoch 35, training loss 0.106:  93%|█████████▎| 170/182 [03:21<00:14,  1.18s/it]
Epoch 35, training loss 0.107:  93%|█████████▎| 170/182 [03:22<00:14,  1.19s/it]
Epoch 35, training loss 0.107:  94%|█████████▍| 171/182 [03:22<00:13,  1.18s/it]
Epoch 35, training loss 0.107:  94%|█████████▍| 171/182 [03:23<00:13,  1.19s/it]
Epoch 35, training loss 0.107:  95%|█████████▍| 172/182 [03:23<00:11,  1.18s/it]
Epoch 35, training loss 0.107:  95%|█████████▍| 172/182 [03:24<00:11,  1.19s/it]
Epoch 35, training loss 0.107:  95%|█████████▌| 173/182 [03:24<00:10,  1.18s/it]
Epoch 35, training loss 0.106:  95%|█████████▌| 173/182 [03:25<00:10,  1.19s/it]
Epoch 35, training loss 0.106:  96%|█████████▌| 174/182 [03:26<00:09,  1.18s/it]
Epoch 35, training loss 0.106:  96%|█████████▌| 174/182 [03:26<00:09,  1.19s/it]
Epoch 35, training loss 0.106:  96%|█████████▌| 175/182 [03:27<00:08,  1.18s/it]
Epoch 35, training loss 0.106:  96%|█████████▌| 175/182 [03:27<00:08,  1.19s/it]
Epoch 35, training loss 0.106:  97%|█████████▋| 176/182 [03:28<00:07,  1.18s/it]
Epoch 35, training loss 0.106:  97%|█████████▋| 176/182 [03:29<00:07,  1.19s/it]
Epoch 35, training loss 0.106:  97%|█████████▋| 177/182 [03:29<00:05,  1.18s/it]
Epoch 35, training loss 0.106:  97%|█████████▋| 177/182 [03:30<00:05,  1.19s/it]
Epoch 35, training loss 0.106:  98%|█████████▊| 178/182 [03:30<00:04,  1.18s/it]
Epoch 35, training loss 0.107:  98%|█████████▊| 178/182 [03:31<00:04,  1.19s/it]
Epoch 35, training loss 0.107:  98%|█████████▊| 179/182 [03:31<00:03,  1.18s/it]
Epoch 35, training loss 0.106:  98%|█████████▊| 179/182 [03:32<00:03,  1.19s/it]
Epoch 35, training loss 0.106:  99%|█████████▉| 180/182 [03:33<00:02,  1.18s/it]
Epoch 35, training loss 0.107:  99%|█████████▉| 180/182 [03:33<00:02,  1.19s/it]
Epoch 35, training loss 0.107:  99%|█████████▉| 181/182 [03:34<00:01,  1.18s/it]
Epoch 35, training loss 0.106:  99%|█████████▉| 181/182 [03:34<00:01,  1.19s/it]
Epoch 35, training loss 0.106: 100%|██████████| 182/182 [03:35<00:00,  1.18s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 35, validation pixAcc: 0.977, mIoU: 0.601:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 35, validation pixAcc: 0.977, mIoU: 0.601:   1%|          | 1/91 [00:04<06:52,  4.59s/it]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.752:   1%|          | 1/91 [00:04<07:28,  4.99s/it]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.752:   2%|▏         | 2/91 [00:04<03:42,  2.49s/it]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.791:   2%|▏         | 2/91 [00:05<04:01,  2.71s/it]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.791:   3%|▎         | 3/91 [00:05<02:39,  1.81s/it]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.800:   3%|▎         | 3/91 [00:05<02:52,  1.96s/it]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.800:   4%|▍         | 4/91 [00:05<02:07,  1.47s/it]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.896:   4%|▍         | 4/91 [00:06<02:17,  1.58s/it]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.896:   5%|▌         | 5/91 [00:06<01:48,  1.27s/it]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.903:   5%|▌         | 5/91 [00:06<01:56,  1.36s/it]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.903:   7%|▋         | 6/91 [00:06<01:36,  1.13s/it]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.902:   7%|▋         | 6/91 [00:07<01:42,  1.21s/it]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.902:   8%|▊         | 7/91 [00:07<01:27,  1.04s/it]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.902:   8%|▊         | 7/91 [00:07<01:32,  1.10s/it]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.902:   9%|▉         | 8/91 [00:07<01:19,  1.04it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.905:   9%|▉         | 8/91 [00:08<01:24,  1.02s/it]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.905:  10%|▉         | 9/91 [00:08<01:14,  1.10it/s]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.909:  10%|▉         | 9/91 [00:08<01:18,  1.04it/s]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.909:  11%|█         | 10/91 [00:08<01:09,  1.16it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.908:  11%|█         | 10/91 [00:09<01:13,  1.10it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.908:  12%|█▏        | 11/91 [00:09<01:06,  1.21it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.908:  12%|█▏        | 11/91 [00:09<01:09,  1.15it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.908:  13%|█▎        | 12/91 [00:09<01:02,  1.26it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.906:  13%|█▎        | 12/91 [00:09<01:05,  1.20it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.906:  14%|█▍        | 13/91 [00:09<00:59,  1.30it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.914:  14%|█▍        | 13/91 [00:10<01:02,  1.25it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.914:  15%|█▌        | 14/91 [00:10<00:57,  1.34it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.913:  15%|█▌        | 14/91 [00:10<00:59,  1.29it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.913:  16%|█▋        | 15/91 [00:10<00:55,  1.38it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.918:  16%|█▋        | 15/91 [00:11<00:57,  1.33it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.918:  18%|█▊        | 16/91 [00:11<00:52,  1.42it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.917:  18%|█▊        | 16/91 [00:11<00:54,  1.37it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.917:  19%|█▊        | 17/91 [00:11<00:50,  1.45it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.916:  19%|█▊        | 17/91 [00:12<00:52,  1.40it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.916:  20%|█▉        | 18/91 [00:12<00:49,  1.48it/s]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.911:  20%|█▉        | 18/91 [00:12<00:51,  1.43it/s]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.911:  21%|██        | 19/91 [00:12<00:47,  1.51it/s]
Epoch 35, validation pixAcc: 0.978, mIoU: 0.908:  21%|██        | 19/91 [00:13<00:49,  1.46it/s]
Epoch 35, validation pixAcc: 0.978, mIoU: 0.908:  22%|██▏       | 20/91 [00:13<00:46,  1.54it/s]
Epoch 35, validation pixAcc: 0.978, mIoU: 0.908:  22%|██▏       | 20/91 [00:13<00:47,  1.49it/s]
Epoch 35, validation pixAcc: 0.978, mIoU: 0.908:  23%|██▎       | 21/91 [00:13<00:44,  1.56it/s]
Epoch 35, validation pixAcc: 0.978, mIoU: 0.906:  23%|██▎       | 21/91 [00:13<00:46,  1.51it/s]
Epoch 35, validation pixAcc: 0.978, mIoU: 0.906:  24%|██▍       | 22/91 [00:13<00:43,  1.59it/s]
Epoch 35, validation pixAcc: 0.978, mIoU: 0.908:  24%|██▍       | 22/91 [00:14<00:44,  1.54it/s]
Epoch 35, validation pixAcc: 0.978, mIoU: 0.908:  25%|██▌       | 23/91 [00:14<00:42,  1.61it/s]
Epoch 35, validation pixAcc: 0.978, mIoU: 0.909:  25%|██▌       | 23/91 [00:14<00:43,  1.57it/s]
Epoch 35, validation pixAcc: 0.978, mIoU: 0.909:  26%|██▋       | 24/91 [00:14<00:41,  1.63it/s]
Epoch 35, validation pixAcc: 0.978, mIoU: 0.908:  26%|██▋       | 24/91 [00:15<00:42,  1.59it/s]
Epoch 35, validation pixAcc: 0.978, mIoU: 0.908:  27%|██▋       | 25/91 [00:15<00:39,  1.65it/s]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.910:  27%|██▋       | 25/91 [00:15<00:41,  1.60it/s]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.910:  29%|██▊       | 26/91 [00:15<00:38,  1.67it/s]
Epoch 35, validation pixAcc: 0.978, mIoU: 0.910:  29%|██▊       | 26/91 [00:16<00:40,  1.62it/s]
Epoch 35, validation pixAcc: 0.978, mIoU: 0.910:  30%|██▉       | 27/91 [00:16<00:37,  1.69it/s]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.913:  30%|██▉       | 27/91 [00:16<00:39,  1.64it/s]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.913:  31%|███       | 28/91 [00:16<00:37,  1.70it/s]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.912:  31%|███       | 28/91 [00:16<00:37,  1.66it/s]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.912:  32%|███▏      | 29/91 [00:16<00:36,  1.72it/s]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.914:  32%|███▏      | 29/91 [00:17<00:37,  1.68it/s]
Epoch 35, validation pixAcc: 0.979, mIoU: 0.914:  33%|███▎      | 30/91 [00:17<00:35,  1.73it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.915:  33%|███▎      | 30/91 [00:17<00:36,  1.69it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.915:  34%|███▍      | 31/91 [00:17<00:34,  1.75it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.916:  34%|███▍      | 31/91 [00:18<00:35,  1.71it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.916:  35%|███▌      | 32/91 [00:18<00:33,  1.76it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.918:  35%|███▌      | 32/91 [00:18<00:34,  1.72it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.918:  36%|███▋      | 33/91 [00:18<00:32,  1.78it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.918:  36%|███▋      | 33/91 [00:19<00:33,  1.73it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.918:  37%|███▋      | 34/91 [00:19<00:31,  1.79it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.918:  37%|███▋      | 34/91 [00:19<00:32,  1.75it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.918:  38%|███▊      | 35/91 [00:19<00:31,  1.80it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.918:  38%|███▊      | 35/91 [00:19<00:31,  1.76it/s]
Epoch 35, validation pixAcc: 0.980, mIoU: 0.918:  40%|███▉      | 36/91 [00:19<00:30,  1.81it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.918:  40%|███▉      | 36/91 [00:20<00:30,  1.77it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.918:  41%|████      | 37/91 [00:20<00:29,  1.82it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.918:  41%|████      | 37/91 [00:20<00:30,  1.79it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.918:  42%|████▏     | 38/91 [00:20<00:28,  1.84it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.918:  42%|████▏     | 38/91 [00:21<00:29,  1.80it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.918:  43%|████▎     | 39/91 [00:21<00:28,  1.85it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.920:  43%|████▎     | 39/91 [00:21<00:28,  1.81it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.920:  44%|████▍     | 40/91 [00:21<00:27,  1.86it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.920:  44%|████▍     | 40/91 [00:21<00:28,  1.82it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.920:  45%|████▌     | 41/91 [00:21<00:26,  1.87it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.920:  45%|████▌     | 41/91 [00:22<00:27,  1.83it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.920:  46%|████▌     | 42/91 [00:22<00:26,  1.88it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.921:  46%|████▌     | 42/91 [00:22<00:26,  1.84it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.921:  47%|████▋     | 43/91 [00:22<00:25,  1.88it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.921:  47%|████▋     | 43/91 [00:23<00:25,  1.85it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.921:  48%|████▊     | 44/91 [00:23<00:24,  1.89it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.921:  48%|████▊     | 44/91 [00:23<00:25,  1.86it/s]
Epoch 35, validation pixAcc: 0.981, mIoU: 0.921:  49%|████▉     | 45/91 [00:23<00:24,  1.90it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 45/91 [00:24<00:24,  1.86it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/91 [00:24<00:23,  1.90it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/91 [00:24<00:24,  1.87it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  52%|█████▏    | 47/91 [00:24<00:23,  1.91it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  52%|█████▏    | 47/91 [00:25<00:23,  1.88it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/91 [00:25<00:22,  1.92it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.921:  53%|█████▎    | 48/91 [00:25<00:22,  1.88it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.921:  54%|█████▍    | 49/91 [00:25<00:21,  1.92it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.921:  54%|█████▍    | 49/91 [00:25<00:22,  1.89it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.921:  55%|█████▍    | 50/91 [00:25<00:21,  1.93it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  55%|█████▍    | 50/91 [00:26<00:21,  1.90it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  56%|█████▌    | 51/91 [00:26<00:20,  1.94it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  56%|█████▌    | 51/91 [00:26<00:20,  1.91it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  57%|█████▋    | 52/91 [00:26<00:20,  1.95it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  57%|█████▋    | 52/91 [00:27<00:20,  1.92it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  58%|█████▊    | 53/91 [00:27<00:19,  1.96it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.921:  58%|█████▊    | 53/91 [00:27<00:19,  1.92it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.921:  59%|█████▉    | 54/91 [00:27<00:18,  1.96it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.921:  59%|█████▉    | 54/91 [00:27<00:19,  1.93it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.921:  60%|██████    | 55/91 [00:27<00:18,  1.97it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  60%|██████    | 55/91 [00:28<00:18,  1.94it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  62%|██████▏   | 56/91 [00:28<00:17,  1.97it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  62%|██████▏   | 56/91 [00:28<00:18,  1.94it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.922:  63%|██████▎   | 57/91 [00:28<00:17,  1.97it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.922:  63%|██████▎   | 57/91 [00:29<00:17,  1.94it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.922:  64%|██████▎   | 58/91 [00:29<00:16,  1.98it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.922:  64%|██████▎   | 58/91 [00:29<00:16,  1.95it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.922:  65%|██████▍   | 59/91 [00:29<00:16,  1.98it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.921:  65%|██████▍   | 59/91 [00:30<00:16,  1.96it/s]
Epoch 35, validation pixAcc: 0.982, mIoU: 0.921:  66%|██████▌   | 60/91 [00:30<00:15,  1.99it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.923:  66%|██████▌   | 60/91 [00:30<00:15,  1.96it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.923:  67%|██████▋   | 61/91 [00:30<00:15,  1.99it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.923:  67%|██████▋   | 61/91 [00:31<00:15,  1.97it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.923:  68%|██████▊   | 62/91 [00:31<00:14,  2.00it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.923:  68%|██████▊   | 62/91 [00:31<00:14,  1.97it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.923:  69%|██████▉   | 63/91 [00:31<00:13,  2.00it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 63/91 [00:31<00:14,  1.98it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.924:  70%|███████   | 64/91 [00:31<00:13,  2.01it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.924:  70%|███████   | 64/91 [00:32<00:13,  1.98it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.924:  71%|███████▏  | 65/91 [00:32<00:12,  2.01it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.924:  71%|███████▏  | 65/91 [00:32<00:13,  1.99it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.924:  73%|███████▎  | 66/91 [00:32<00:12,  2.02it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.924:  73%|███████▎  | 66/91 [00:33<00:12,  1.99it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.924:  74%|███████▎  | 67/91 [00:33<00:11,  2.02it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.924:  74%|███████▎  | 67/91 [00:33<00:12,  1.99it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.924:  75%|███████▍  | 68/91 [00:33<00:11,  2.02it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.924:  75%|███████▍  | 68/91 [00:34<00:11,  2.00it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.924:  76%|███████▌  | 69/91 [00:34<00:10,  2.03it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 69/91 [00:34<00:10,  2.00it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.925:  77%|███████▋  | 70/91 [00:34<00:10,  2.03it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.925:  77%|███████▋  | 70/91 [00:34<00:10,  2.01it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.925:  78%|███████▊  | 71/91 [00:34<00:09,  2.04it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.925:  78%|███████▊  | 71/91 [00:35<00:09,  2.01it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.925:  79%|███████▉  | 72/91 [00:35<00:09,  2.04it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.925:  79%|███████▉  | 72/91 [00:35<00:09,  2.02it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.925:  80%|████████  | 73/91 [00:35<00:08,  2.05it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.925:  80%|████████  | 73/91 [00:36<00:08,  2.02it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.925:  81%|████████▏ | 74/91 [00:36<00:08,  2.05it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.926:  81%|████████▏ | 74/91 [00:36<00:08,  2.03it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.926:  82%|████████▏ | 75/91 [00:36<00:07,  2.06it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.926:  82%|████████▏ | 75/91 [00:36<00:07,  2.03it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.926:  84%|████████▎ | 76/91 [00:36<00:07,  2.06it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.926:  84%|████████▎ | 76/91 [00:37<00:07,  2.04it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.926:  85%|████████▍ | 77/91 [00:37<00:06,  2.06it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.926:  85%|████████▍ | 77/91 [00:37<00:06,  2.04it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.926:  86%|████████▌ | 78/91 [00:37<00:06,  2.07it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.926:  86%|████████▌ | 78/91 [00:38<00:06,  2.04it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.926:  87%|████████▋ | 79/91 [00:38<00:05,  2.07it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.926:  87%|████████▋ | 79/91 [00:38<00:05,  2.05it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.926:  88%|████████▊ | 80/91 [00:38<00:05,  2.07it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927:  88%|████████▊ | 80/91 [00:39<00:05,  2.05it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927:  89%|████████▉ | 81/91 [00:39<00:04,  2.08it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927:  89%|████████▉ | 81/91 [00:39<00:04,  2.06it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927:  90%|█████████ | 82/91 [00:39<00:04,  2.08it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927:  90%|█████████ | 82/91 [00:39<00:04,  2.06it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927:  91%|█████████ | 83/91 [00:39<00:03,  2.08it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927:  91%|█████████ | 83/91 [00:40<00:03,  2.06it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927:  92%|█████████▏| 84/91 [00:40<00:03,  2.09it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.928:  92%|█████████▏| 84/91 [00:40<00:03,  2.07it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.928:  93%|█████████▎| 85/91 [00:40<00:02,  2.09it/s]
Epoch 35, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 85/91 [00:41<00:02,  2.07it/s]
Epoch 35, validation pixAcc: 0.984, mIoU: 0.928:  95%|█████████▍| 86/91 [00:41<00:02,  2.09it/s]
Epoch 35, validation pixAcc: 0.984, mIoU: 0.927:  95%|█████████▍| 86/91 [00:41<00:02,  2.07it/s]
Epoch 35, validation pixAcc: 0.984, mIoU: 0.927:  96%|█████████▌| 87/91 [00:41<00:01,  2.10it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927:  96%|█████████▌| 87/91 [00:41<00:01,  2.07it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927:  97%|█████████▋| 88/91 [00:41<00:01,  2.10it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927:  97%|█████████▋| 88/91 [00:42<00:01,  2.08it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927:  98%|█████████▊| 89/91 [00:42<00:00,  2.10it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927:  98%|█████████▊| 89/91 [00:42<00:00,  2.08it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927:  99%|█████████▉| 90/91 [00:42<00:00,  2.10it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927:  99%|█████████▉| 90/91 [00:43<00:00,  2.08it/s]
Epoch 35, validation pixAcc: 0.983, mIoU: 0.927: 100%|██████████| 91/91 [00:43<00:00,  2.11it/s]

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Epoch 36, training loss 0.099:   0%|          | 0/182 [00:05<?, ?it/s]
Epoch 36, training loss 0.099:   1%|          | 1/182 [00:05<16:51,  5.59s/it]
Epoch 36, training loss 0.091:   1%|          | 1/182 [00:06<19:02,  6.31s/it]
Epoch 36, training loss 0.091:   1%|          | 2/182 [00:06<10:12,  3.40s/it]
Epoch 36, training loss 0.091:   1%|          | 2/182 [00:07<11:10,  3.72s/it]
Epoch 36, training loss 0.091:   2%|▏         | 3/182 [00:07<07:55,  2.65s/it]
Epoch 36, training loss 0.122:   2%|▏         | 3/182 [00:08<08:34,  2.87s/it]
Epoch 36, training loss 0.122:   2%|▏         | 4/182 [00:09<06:46,  2.28s/it]
Epoch 36, training loss 0.115:   2%|▏         | 4/182 [00:09<07:14,  2.44s/it]
Epoch 36, training loss 0.115:   3%|▎         | 5/182 [00:10<06:03,  2.05s/it]
Epoch 36, training loss 0.108:   3%|▎         | 5/182 [00:10<06:25,  2.18s/it]
Epoch 36, training loss 0.108:   3%|▎         | 6/182 [00:11<05:34,  1.90s/it]
Epoch 36, training loss 0.104:   3%|▎         | 6/182 [00:12<05:55,  2.02s/it]
Epoch 36, training loss 0.104:   4%|▍         | 7/182 [00:12<05:15,  1.80s/it]
Epoch 36, training loss 0.107:   4%|▍         | 7/182 [00:13<05:33,  1.91s/it]
Epoch 36, training loss 0.107:   4%|▍         | 8/182 [00:13<05:01,  1.73s/it]
Epoch 36, training loss 0.107:   4%|▍         | 8/182 [00:14<05:15,  1.82s/it]
Epoch 36, training loss 0.107:   5%|▍         | 9/182 [00:15<04:48,  1.67s/it]
Epoch 36, training loss 0.109:   5%|▍         | 9/182 [00:15<05:01,  1.74s/it]
Epoch 36, training loss 0.109:   5%|▌         | 10/182 [00:16<04:38,  1.62s/it]
Epoch 36, training loss 0.125:   5%|▌         | 10/182 [00:16<04:49,  1.68s/it]
Epoch 36, training loss 0.125:   6%|▌         | 11/182 [00:17<04:29,  1.58s/it]
Epoch 36, training loss 0.140:   6%|▌         | 11/182 [00:17<04:39,  1.63s/it]
Epoch 36, training loss 0.140:   7%|▋         | 12/182 [00:18<04:21,  1.54s/it]
Epoch 36, training loss 0.140:   7%|▋         | 12/182 [00:19<04:30,  1.59s/it]
Epoch 36, training loss 0.140:   7%|▋         | 13/182 [00:19<04:15,  1.51s/it]
Epoch 36, training loss 0.134:   7%|▋         | 13/182 [00:20<04:25,  1.57s/it]
Epoch 36, training loss 0.134:   8%|▊         | 14/182 [00:20<04:10,  1.49s/it]
Epoch 36, training loss 0.130:   8%|▊         | 14/182 [00:21<04:19,  1.54s/it]
Epoch 36, training loss 0.130:   8%|▊         | 15/182 [00:22<04:06,  1.47s/it]
Epoch 36, training loss 0.124:   8%|▊         | 15/182 [00:22<04:14,  1.52s/it]
Epoch 36, training loss 0.124:   9%|▉         | 16/182 [00:23<04:02,  1.46s/it]
Epoch 36, training loss 0.121:   9%|▉         | 16/182 [00:23<04:08,  1.50s/it]
Epoch 36, training loss 0.121:   9%|▉         | 17/182 [00:24<03:57,  1.44s/it]
Epoch 36, training loss 0.119:   9%|▉         | 17/182 [00:25<04:04,  1.48s/it]
Epoch 36, training loss 0.119:  10%|▉         | 18/182 [00:25<03:54,  1.43s/it]
Epoch 36, training loss 0.116:  10%|▉         | 18/182 [00:26<04:00,  1.47s/it]
Epoch 36, training loss 0.116:  10%|█         | 19/182 [00:26<03:50,  1.42s/it]
Epoch 36, training loss 0.116:  10%|█         | 19/182 [00:27<03:57,  1.45s/it]
Epoch 36, training loss 0.116:  11%|█         | 20/182 [00:28<03:47,  1.41s/it]
Epoch 36, training loss 0.117:  11%|█         | 20/182 [00:28<03:53,  1.44s/it]
Epoch 36, training loss 0.117:  12%|█▏        | 21/182 [00:29<03:44,  1.40s/it]
Epoch 36, training loss 0.112:  12%|█▏        | 21/182 [00:29<03:49,  1.42s/it]
Epoch 36, training loss 0.112:  12%|█▏        | 22/182 [00:30<03:41,  1.38s/it]
Epoch 36, training loss 0.109:  12%|█▏        | 22/182 [00:31<03:46,  1.41s/it]
Epoch 36, training loss 0.109:  13%|█▎        | 23/182 [00:31<03:38,  1.37s/it]
Epoch 36, training loss 0.107:  13%|█▎        | 23/182 [00:32<03:43,  1.40s/it]
Epoch 36, training loss 0.107:  13%|█▎        | 24/182 [00:32<03:35,  1.37s/it]
Epoch 36, training loss 0.110:  13%|█▎        | 24/182 [00:33<03:40,  1.40s/it]
Epoch 36, training loss 0.110:  14%|█▎        | 25/182 [00:34<03:33,  1.36s/it]
Epoch 36, training loss 0.114:  14%|█▎        | 25/182 [00:34<03:39,  1.40s/it]
Epoch 36, training loss 0.114:  14%|█▍        | 26/182 [00:35<03:32,  1.36s/it]
Epoch 36, training loss 0.114:  14%|█▍        | 26/182 [00:36<03:36,  1.39s/it]
Epoch 36, training loss 0.114:  15%|█▍        | 27/182 [00:36<03:30,  1.36s/it]
Epoch 36, training loss 0.114:  15%|█▍        | 27/182 [00:37<03:34,  1.38s/it]
Epoch 36, training loss 0.114:  15%|█▌        | 28/182 [00:37<03:27,  1.35s/it]
Epoch 36, training loss 0.115:  15%|█▌        | 28/182 [00:38<03:31,  1.38s/it]
Epoch 36, training loss 0.115:  16%|█▌        | 29/182 [00:39<03:26,  1.35s/it]
Epoch 36, training loss 0.115:  16%|█▌        | 29/182 [00:39<03:29,  1.37s/it]
Epoch 36, training loss 0.115:  16%|█▋        | 30/182 [00:40<03:23,  1.34s/it]
Epoch 36, training loss 0.113:  16%|█▋        | 30/182 [00:40<03:27,  1.36s/it]
Epoch 36, training loss 0.113:  17%|█▋        | 31/182 [00:41<03:21,  1.34s/it]
Epoch 36, training loss 0.110:  17%|█▋        | 31/182 [00:42<03:24,  1.36s/it]
Epoch 36, training loss 0.110:  18%|█▊        | 32/182 [00:42<03:19,  1.33s/it]
Epoch 36, training loss 0.110:  18%|█▊        | 32/182 [00:43<03:22,  1.35s/it]
Epoch 36, training loss 0.110:  18%|█▊        | 33/182 [00:43<03:17,  1.33s/it]
Epoch 36, training loss 0.110:  18%|█▊        | 33/182 [00:44<03:20,  1.35s/it]
Epoch 36, training loss 0.110:  19%|█▊        | 34/182 [00:44<03:15,  1.32s/it]
Epoch 36, training loss 0.118:  19%|█▊        | 34/182 [00:45<03:18,  1.34s/it]
Epoch 36, training loss 0.118:  19%|█▉        | 35/182 [00:46<03:13,  1.32s/it]
Epoch 36, training loss 0.117:  19%|█▉        | 35/182 [00:46<03:16,  1.34s/it]
Epoch 36, training loss 0.117:  20%|█▉        | 36/182 [00:47<03:11,  1.31s/it]
Epoch 36, training loss 0.115:  20%|█▉        | 36/182 [00:47<03:14,  1.33s/it]
Epoch 36, training loss 0.115:  20%|██        | 37/182 [00:48<03:09,  1.31s/it]
Epoch 36, training loss 0.113:  20%|██        | 37/182 [00:49<03:12,  1.33s/it]
Epoch 36, training loss 0.113:  21%|██        | 38/182 [00:49<03:08,  1.31s/it]
Epoch 36, training loss 0.112:  21%|██        | 38/182 [00:50<03:10,  1.32s/it]
Epoch 36, training loss 0.112:  21%|██▏       | 39/182 [00:50<03:06,  1.30s/it]
Epoch 36, training loss 0.110:  21%|██▏       | 39/182 [00:51<03:08,  1.32s/it]
Epoch 36, training loss 0.110:  22%|██▏       | 40/182 [00:52<03:04,  1.30s/it]
Epoch 36, training loss 0.109:  22%|██▏       | 40/182 [00:52<03:07,  1.32s/it]
Epoch 36, training loss 0.109:  23%|██▎       | 41/182 [00:53<03:03,  1.30s/it]
Epoch 36, training loss 0.107:  23%|██▎       | 41/182 [00:53<03:05,  1.32s/it]
Epoch 36, training loss 0.107:  23%|██▎       | 42/182 [00:54<03:01,  1.30s/it]
Epoch 36, training loss 0.107:  23%|██▎       | 42/182 [00:55<03:03,  1.31s/it]
Epoch 36, training loss 0.107:  24%|██▎       | 43/182 [00:55<02:59,  1.29s/it]
Epoch 36, training loss 0.106:  24%|██▎       | 43/182 [00:56<03:01,  1.31s/it]
Epoch 36, training loss 0.106:  24%|██▍       | 44/182 [00:56<02:57,  1.29s/it]
Epoch 36, training loss 0.106:  24%|██▍       | 44/182 [00:57<02:59,  1.30s/it]
Epoch 36, training loss 0.106:  25%|██▍       | 45/182 [00:57<02:56,  1.29s/it]
Epoch 36, training loss 0.106:  25%|██▍       | 45/182 [00:58<02:58,  1.30s/it]
Epoch 36, training loss 0.106:  25%|██▌       | 46/182 [00:59<02:54,  1.28s/it]
Epoch 36, training loss 0.107:  25%|██▌       | 46/182 [00:59<02:56,  1.30s/it]
Epoch 36, training loss 0.107:  26%|██▌       | 47/182 [01:00<02:53,  1.28s/it]
Epoch 36, training loss 0.111:  26%|██▌       | 47/182 [01:00<02:55,  1.30s/it]
Epoch 36, training loss 0.111:  26%|██▋       | 48/182 [01:01<02:51,  1.28s/it]
Epoch 36, training loss 0.110:  26%|██▋       | 48/182 [01:02<02:53,  1.30s/it]
Epoch 36, training loss 0.110:  27%|██▋       | 49/182 [01:02<02:50,  1.28s/it]
Epoch 36, training loss 0.109:  27%|██▋       | 49/182 [01:03<02:52,  1.29s/it]
Epoch 36, training loss 0.109:  27%|██▋       | 50/182 [01:03<02:48,  1.28s/it]
Epoch 36, training loss 0.109:  27%|██▋       | 50/182 [01:04<02:50,  1.29s/it]
Epoch 36, training loss 0.109:  28%|██▊       | 51/182 [01:05<02:47,  1.28s/it]
Epoch 36, training loss 0.109:  28%|██▊       | 51/182 [01:05<02:48,  1.29s/it]
Epoch 36, training loss 0.109:  29%|██▊       | 52/182 [01:06<02:45,  1.27s/it]
Epoch 36, training loss 0.110:  29%|██▊       | 52/182 [01:07<02:47,  1.29s/it]
Epoch 36, training loss 0.110:  29%|██▉       | 53/182 [01:07<02:44,  1.27s/it]
Epoch 36, training loss 0.110:  29%|██▉       | 53/182 [01:08<02:46,  1.29s/it]
Epoch 36, training loss 0.110:  30%|██▉       | 54/182 [01:08<02:42,  1.27s/it]
Epoch 36, training loss 0.109:  30%|██▉       | 54/182 [01:09<02:44,  1.29s/it]
Epoch 36, training loss 0.109:  30%|███       | 55/182 [01:09<02:41,  1.27s/it]
Epoch 36, training loss 0.109:  30%|███       | 55/182 [01:10<02:43,  1.28s/it]
Epoch 36, training loss 0.109:  31%|███       | 56/182 [01:11<02:40,  1.27s/it]
Epoch 36, training loss 0.108:  31%|███       | 56/182 [01:11<02:41,  1.28s/it]
Epoch 36, training loss 0.108:  31%|███▏      | 57/182 [01:12<02:38,  1.27s/it]
Epoch 36, training loss 0.107:  31%|███▏      | 57/182 [01:12<02:40,  1.28s/it]
Epoch 36, training loss 0.107:  32%|███▏      | 58/182 [01:13<02:37,  1.27s/it]
Epoch 36, training loss 0.108:  32%|███▏      | 58/182 [01:14<02:38,  1.28s/it]
Epoch 36, training loss 0.108:  32%|███▏      | 59/182 [01:14<02:35,  1.27s/it]
Epoch 36, training loss 0.109:  32%|███▏      | 59/182 [01:15<02:37,  1.28s/it]
Epoch 36, training loss 0.109:  33%|███▎      | 60/182 [01:15<02:34,  1.26s/it]
Epoch 36, training loss 0.109:  33%|███▎      | 60/182 [01:16<02:35,  1.28s/it]
Epoch 36, training loss 0.109:  34%|███▎      | 61/182 [01:17<02:33,  1.26s/it]
Epoch 36, training loss 0.107:  34%|███▎      | 61/182 [01:17<02:34,  1.28s/it]
Epoch 36, training loss 0.107:  34%|███▍      | 62/182 [01:18<02:31,  1.26s/it]
Epoch 36, training loss 0.107:  34%|███▍      | 62/182 [01:19<02:33,  1.28s/it]
Epoch 36, training loss 0.107:  35%|███▍      | 63/182 [01:19<02:30,  1.26s/it]
Epoch 36, training loss 0.106:  35%|███▍      | 63/182 [01:20<02:31,  1.28s/it]
Epoch 36, training loss 0.106:  35%|███▌      | 64/182 [01:20<02:29,  1.26s/it]
Epoch 36, training loss 0.107:  35%|███▌      | 64/182 [01:21<02:30,  1.27s/it]
Epoch 36, training loss 0.107:  36%|███▌      | 65/182 [01:22<02:27,  1.26s/it]
Epoch 36, training loss 0.105:  36%|███▌      | 65/182 [01:22<02:29,  1.27s/it]
Epoch 36, training loss 0.105:  36%|███▋      | 66/182 [01:23<02:26,  1.26s/it]
Epoch 36, training loss 0.105:  36%|███▋      | 66/182 [01:23<02:27,  1.27s/it]
Epoch 36, training loss 0.105:  37%|███▋      | 67/182 [01:24<02:24,  1.26s/it]
Epoch 36, training loss 0.108:  37%|███▋      | 67/182 [01:25<02:26,  1.27s/it]
Epoch 36, training loss 0.108:  37%|███▋      | 68/182 [01:25<02:23,  1.26s/it]
Epoch 36, training loss 0.109:  37%|███▋      | 68/182 [01:26<02:24,  1.27s/it]
Epoch 36, training loss 0.109:  38%|███▊      | 69/182 [01:26<02:22,  1.26s/it]
Epoch 36, training loss 0.110:  38%|███▊      | 69/182 [01:27<02:23,  1.27s/it]
Epoch 36, training loss 0.110:  38%|███▊      | 70/182 [01:27<02:20,  1.26s/it]
Epoch 36, training loss 0.109:  38%|███▊      | 70/182 [01:28<02:21,  1.27s/it]
Epoch 36, training loss 0.109:  39%|███▉      | 71/182 [01:29<02:19,  1.26s/it]
Epoch 36, training loss 0.109:  39%|███▉      | 71/182 [01:29<02:20,  1.26s/it]
Epoch 36, training loss 0.109:  40%|███▉      | 72/182 [01:30<02:17,  1.25s/it]
Epoch 36, training loss 0.108:  40%|███▉      | 72/182 [01:30<02:18,  1.26s/it]
Epoch 36, training loss 0.108:  40%|████      | 73/182 [01:31<02:16,  1.25s/it]
Epoch 36, training loss 0.107:  40%|████      | 73/182 [01:32<02:17,  1.26s/it]
Epoch 36, training loss 0.107:  41%|████      | 74/182 [01:32<02:15,  1.25s/it]
Epoch 36, training loss 0.106:  41%|████      | 74/182 [01:33<02:16,  1.26s/it]
Epoch 36, training loss 0.106:  41%|████      | 75/182 [01:33<02:13,  1.25s/it]
Epoch 36, training loss 0.106:  41%|████      | 75/182 [01:34<02:14,  1.26s/it]
Epoch 36, training loss 0.106:  42%|████▏     | 76/182 [01:35<02:12,  1.25s/it]
Epoch 36, training loss 0.111:  42%|████▏     | 76/182 [01:35<02:13,  1.26s/it]
Epoch 36, training loss 0.111:  42%|████▏     | 77/182 [01:36<02:11,  1.25s/it]
Epoch 36, training loss 0.113:  42%|████▏     | 77/182 [01:36<02:12,  1.26s/it]
Epoch 36, training loss 0.113:  43%|████▎     | 78/182 [01:37<02:09,  1.25s/it]
Epoch 36, training loss 0.113:  43%|████▎     | 78/182 [01:37<02:10,  1.26s/it]
Epoch 36, training loss 0.113:  43%|████▎     | 79/182 [01:38<02:08,  1.25s/it]
Epoch 36, training loss 0.113:  43%|████▎     | 79/182 [01:39<02:09,  1.25s/it]
Epoch 36, training loss 0.113:  44%|████▍     | 80/182 [01:39<02:06,  1.24s/it]
Epoch 36, training loss 0.112:  44%|████▍     | 80/182 [01:40<02:07,  1.25s/it]
Epoch 36, training loss 0.112:  45%|████▍     | 81/182 [01:40<02:05,  1.24s/it]
Epoch 36, training loss 0.111:  45%|████▍     | 81/182 [01:41<02:06,  1.25s/it]
Epoch 36, training loss 0.111:  45%|████▌     | 82/182 [01:41<02:04,  1.24s/it]
Epoch 36, training loss 0.112:  45%|████▌     | 82/182 [01:42<02:05,  1.25s/it]
Epoch 36, training loss 0.112:  46%|████▌     | 83/182 [01:43<02:02,  1.24s/it]
Epoch 36, training loss 0.112:  46%|████▌     | 83/182 [01:43<02:03,  1.25s/it]
Epoch 36, training loss 0.112:  46%|████▌     | 84/182 [01:44<02:01,  1.24s/it]
Epoch 36, training loss 0.112:  46%|████▌     | 84/182 [01:44<02:02,  1.25s/it]
Epoch 36, training loss 0.112:  47%|████▋     | 85/182 [01:45<02:00,  1.24s/it]
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Epoch 36, training loss 0.112:  47%|████▋     | 86/182 [01:46<01:59,  1.24s/it]
Epoch 36, training loss 0.111:  47%|████▋     | 86/182 [01:47<01:59,  1.25s/it]
Epoch 36, training loss 0.111:  48%|████▊     | 87/182 [01:47<01:57,  1.24s/it]
Epoch 36, training loss 0.111:  48%|████▊     | 87/182 [01:48<01:58,  1.25s/it]
Epoch 36, training loss 0.111:  48%|████▊     | 88/182 [01:48<01:56,  1.24s/it]
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Epoch 36, training loss 0.111:  49%|████▉     | 89/182 [01:50<01:55,  1.24s/it]
Epoch 36, training loss 0.111:  49%|████▉     | 89/182 [01:50<01:55,  1.24s/it]
Epoch 36, training loss 0.111:  49%|████▉     | 90/182 [01:51<01:53,  1.24s/it]
Epoch 36, training loss 0.110:  49%|████▉     | 90/182 [01:51<01:54,  1.24s/it]
Epoch 36, training loss 0.110:  50%|█████     | 91/182 [01:52<01:52,  1.24s/it]
Epoch 36, training loss 0.110:  50%|█████     | 91/182 [01:53<01:53,  1.24s/it]
Epoch 36, training loss 0.110:  51%|█████     | 92/182 [01:53<01:51,  1.23s/it]
Epoch 36, training loss 0.111:  51%|█████     | 92/182 [01:54<01:51,  1.24s/it]
Epoch 36, training loss 0.111:  51%|█████     | 93/182 [01:54<01:49,  1.23s/it]
Epoch 36, training loss 0.110:  51%|█████     | 93/182 [01:55<01:50,  1.24s/it]
Epoch 36, training loss 0.110:  52%|█████▏    | 94/182 [01:55<01:48,  1.23s/it]
Epoch 36, training loss 0.110:  52%|█████▏    | 94/182 [01:56<01:49,  1.24s/it]
Epoch 36, training loss 0.110:  52%|█████▏    | 95/182 [01:57<01:47,  1.23s/it]
Epoch 36, training loss 0.110:  52%|█████▏    | 95/182 [01:57<01:47,  1.24s/it]
Epoch 36, training loss 0.110:  53%|█████▎    | 96/182 [01:58<01:45,  1.23s/it]
Epoch 36, training loss 0.109:  53%|█████▎    | 96/182 [01:58<01:46,  1.24s/it]
Epoch 36, training loss 0.109:  53%|█████▎    | 97/182 [01:59<01:44,  1.23s/it]
Epoch 36, training loss 0.109:  53%|█████▎    | 97/182 [02:00<01:45,  1.24s/it]
Epoch 36, training loss 0.109:  54%|█████▍    | 98/182 [02:00<01:43,  1.23s/it]
Epoch 36, training loss 0.108:  54%|█████▍    | 98/182 [02:01<01:43,  1.24s/it]
Epoch 36, training loss 0.108:  54%|█████▍    | 99/182 [02:01<01:42,  1.23s/it]
Epoch 36, training loss 0.108:  54%|█████▍    | 99/182 [02:02<01:42,  1.24s/it]
Epoch 36, training loss 0.108:  55%|█████▍    | 100/182 [02:02<01:40,  1.23s/it]
Epoch 36, training loss 0.110:  55%|█████▍    | 100/182 [02:03<01:41,  1.24s/it]
Epoch 36, training loss 0.110:  55%|█████▌    | 101/182 [02:04<01:39,  1.23s/it]
Epoch 36, training loss 0.111:  55%|█████▌    | 101/182 [02:04<01:40,  1.23s/it]
Epoch 36, training loss 0.111:  56%|█████▌    | 102/182 [02:05<01:38,  1.23s/it]
Epoch 36, training loss 0.111:  56%|█████▌    | 102/182 [02:05<01:38,  1.23s/it]
Epoch 36, training loss 0.111:  57%|█████▋    | 103/182 [02:06<01:36,  1.23s/it]
Epoch 36, training loss 0.111:  57%|█████▋    | 103/182 [02:06<01:37,  1.23s/it]
Epoch 36, training loss 0.111:  57%|█████▋    | 104/182 [02:07<01:35,  1.23s/it]
Epoch 36, training loss 0.111:  57%|█████▋    | 104/182 [02:08<01:36,  1.23s/it]
Epoch 36, training loss 0.111:  58%|█████▊    | 105/182 [02:08<01:34,  1.23s/it]
Epoch 36, training loss 0.111:  58%|█████▊    | 105/182 [02:09<01:34,  1.23s/it]
Epoch 36, training loss 0.111:  58%|█████▊    | 106/182 [02:09<01:33,  1.22s/it]
Epoch 36, training loss 0.111:  58%|█████▊    | 106/182 [02:10<01:33,  1.23s/it]
Epoch 36, training loss 0.111:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 36, training loss 0.111:  59%|█████▉    | 107/182 [02:11<01:32,  1.23s/it]
Epoch 36, training loss 0.111:  59%|█████▉    | 108/182 [02:12<01:30,  1.22s/it]
Epoch 36, training loss 0.110:  59%|█████▉    | 108/182 [02:12<01:31,  1.23s/it]
Epoch 36, training loss 0.110:  60%|█████▉    | 109/182 [02:13<01:29,  1.22s/it]
Epoch 36, training loss 0.110:  60%|█████▉    | 109/182 [02:13<01:29,  1.23s/it]
Epoch 36, training loss 0.110:  60%|██████    | 110/182 [02:14<01:28,  1.22s/it]
Epoch 36, training loss 0.110:  60%|██████    | 110/182 [02:15<01:28,  1.23s/it]
Epoch 36, training loss 0.110:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 36, training loss 0.110:  61%|██████    | 111/182 [02:16<01:27,  1.23s/it]
Epoch 36, training loss 0.110:  62%|██████▏   | 112/182 [02:16<01:25,  1.22s/it]
Epoch 36, training loss 0.110:  62%|██████▏   | 112/182 [02:17<01:25,  1.23s/it]
Epoch 36, training loss 0.110:  62%|██████▏   | 113/182 [02:17<01:24,  1.22s/it]
Epoch 36, training loss 0.110:  62%|██████▏   | 113/182 [02:18<01:24,  1.23s/it]
Epoch 36, training loss 0.110:  63%|██████▎   | 114/182 [02:19<01:22,  1.22s/it]
Epoch 36, training loss 0.110:  63%|██████▎   | 114/182 [02:19<01:23,  1.23s/it]
Epoch 36, training loss 0.110:  63%|██████▎   | 115/182 [02:20<01:21,  1.22s/it]
Epoch 36, training loss 0.111:  63%|██████▎   | 115/182 [02:20<01:22,  1.23s/it]
Epoch 36, training loss 0.111:  64%|██████▎   | 116/182 [02:21<01:20,  1.22s/it]
Epoch 36, training loss 0.113:  64%|██████▎   | 116/182 [02:22<01:20,  1.22s/it]
Epoch 36, training loss 0.113:  64%|██████▍   | 117/182 [02:22<01:19,  1.22s/it]
Epoch 36, training loss 0.113:  64%|██████▍   | 117/182 [02:23<01:19,  1.22s/it]
Epoch 36, training loss 0.113:  65%|██████▍   | 118/182 [02:23<01:17,  1.22s/it]
Epoch 36, training loss 0.113:  65%|██████▍   | 118/182 [02:24<01:18,  1.22s/it]
Epoch 36, training loss 0.113:  65%|██████▌   | 119/182 [02:24<01:16,  1.22s/it]
Epoch 36, training loss 0.113:  65%|██████▌   | 119/182 [02:25<01:17,  1.22s/it]
Epoch 36, training loss 0.113:  66%|██████▌   | 120/182 [02:26<01:15,  1.22s/it]
Epoch 36, training loss 0.112:  66%|██████▌   | 120/182 [02:26<01:15,  1.22s/it]
Epoch 36, training loss 0.112:  66%|██████▋   | 121/182 [02:27<01:14,  1.22s/it]
Epoch 36, training loss 0.114:  66%|██████▋   | 121/182 [02:27<01:14,  1.22s/it]
Epoch 36, training loss 0.114:  67%|██████▋   | 122/182 [02:28<01:13,  1.22s/it]
Epoch 36, training loss 0.115:  67%|██████▋   | 122/182 [02:29<01:13,  1.22s/it]
Epoch 36, training loss 0.115:  68%|██████▊   | 123/182 [02:29<01:11,  1.22s/it]
Epoch 36, training loss 0.115:  68%|██████▊   | 123/182 [02:30<01:12,  1.22s/it]
Epoch 36, training loss 0.115:  68%|██████▊   | 124/182 [02:30<01:10,  1.22s/it]
Epoch 36, training loss 0.115:  68%|██████▊   | 124/182 [02:31<01:10,  1.22s/it]
Epoch 36, training loss 0.115:  69%|██████▊   | 125/182 [02:31<01:09,  1.22s/it]
Epoch 36, training loss 0.118:  69%|██████▊   | 125/182 [02:32<01:09,  1.22s/it]
Epoch 36, training loss 0.118:  69%|██████▉   | 126/182 [02:33<01:08,  1.21s/it]
Epoch 36, training loss 0.117:  69%|██████▉   | 126/182 [02:33<01:08,  1.22s/it]
Epoch 36, training loss 0.117:  70%|██████▉   | 127/182 [02:34<01:06,  1.21s/it]
Epoch 36, training loss 0.117:  70%|██████▉   | 127/182 [02:34<01:07,  1.22s/it]
Epoch 36, training loss 0.117:  70%|███████   | 128/182 [02:35<01:05,  1.21s/it]
Epoch 36, training loss 0.116:  70%|███████   | 128/182 [02:36<01:05,  1.22s/it]
Epoch 36, training loss 0.116:  71%|███████   | 129/182 [02:36<01:04,  1.21s/it]
Epoch 36, training loss 0.116:  71%|███████   | 129/182 [02:37<01:04,  1.22s/it]
Epoch 36, training loss 0.116:  71%|███████▏  | 130/182 [02:37<01:03,  1.21s/it]
Epoch 36, training loss 0.115:  71%|███████▏  | 130/182 [02:38<01:03,  1.22s/it]
Epoch 36, training loss 0.115:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 36, training loss 0.115:  72%|███████▏  | 131/182 [02:39<01:02,  1.22s/it]
Epoch 36, training loss 0.115:  73%|███████▎  | 132/182 [02:40<01:00,  1.21s/it]
Epoch 36, training loss 0.115:  73%|███████▎  | 132/182 [02:40<01:00,  1.22s/it]
Epoch 36, training loss 0.115:  73%|███████▎  | 133/182 [02:41<00:59,  1.21s/it]
Epoch 36, training loss 0.114:  73%|███████▎  | 133/182 [02:41<00:59,  1.22s/it]
Epoch 36, training loss 0.114:  74%|███████▎  | 134/182 [02:42<00:58,  1.21s/it]
Epoch 36, training loss 0.115:  74%|███████▎  | 134/182 [02:43<00:58,  1.22s/it]
Epoch 36, training loss 0.115:  74%|███████▍  | 135/182 [02:43<00:56,  1.21s/it]
Epoch 36, training loss 0.115:  74%|███████▍  | 135/182 [02:44<00:57,  1.22s/it]
Epoch 36, training loss 0.115:  75%|███████▍  | 136/182 [02:44<00:55,  1.21s/it]
Epoch 36, training loss 0.115:  75%|███████▍  | 136/182 [02:45<00:55,  1.22s/it]
Epoch 36, training loss 0.115:  75%|███████▌  | 137/182 [02:45<00:54,  1.21s/it]
Epoch 36, training loss 0.117:  75%|███████▌  | 137/182 [02:46<00:54,  1.22s/it]
Epoch 36, training loss 0.117:  76%|███████▌  | 138/182 [02:47<00:53,  1.21s/it]
Epoch 36, training loss 0.118:  76%|███████▌  | 138/182 [02:47<00:53,  1.22s/it]
Epoch 36, training loss 0.118:  76%|███████▋  | 139/182 [02:48<00:52,  1.21s/it]
Epoch 36, training loss 0.117:  76%|███████▋  | 139/182 [02:48<00:52,  1.22s/it]
Epoch 36, training loss 0.117:  77%|███████▋  | 140/182 [02:49<00:50,  1.21s/it]
Epoch 36, training loss 0.117:  77%|███████▋  | 140/182 [02:50<00:51,  1.22s/it]
Epoch 36, training loss 0.117:  77%|███████▋  | 141/182 [02:50<00:49,  1.21s/it]
Epoch 36, training loss 0.117:  77%|███████▋  | 141/182 [02:51<00:49,  1.21s/it]
Epoch 36, training loss 0.117:  78%|███████▊  | 142/182 [02:51<00:48,  1.21s/it]
Epoch 36, training loss 0.116:  78%|███████▊  | 142/182 [02:52<00:48,  1.21s/it]
Epoch 36, training loss 0.116:  79%|███████▊  | 143/182 [02:52<00:47,  1.21s/it]
Epoch 36, training loss 0.117:  79%|███████▊  | 143/182 [02:53<00:47,  1.21s/it]
Epoch 36, training loss 0.117:  79%|███████▉  | 144/182 [02:54<00:45,  1.21s/it]
Epoch 36, training loss 0.117:  79%|███████▉  | 144/182 [02:54<00:46,  1.21s/it]
Epoch 36, training loss 0.117:  80%|███████▉  | 145/182 [02:55<00:44,  1.21s/it]
Epoch 36, training loss 0.116:  80%|███████▉  | 145/182 [02:56<00:44,  1.21s/it]
Epoch 36, training loss 0.116:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 36, training loss 0.116:  80%|████████  | 146/182 [02:57<00:43,  1.21s/it]
Epoch 36, training loss 0.116:  81%|████████  | 147/182 [02:57<00:42,  1.21s/it]
Epoch 36, training loss 0.116:  81%|████████  | 147/182 [02:58<00:42,  1.21s/it]
Epoch 36, training loss 0.116:  81%|████████▏ | 148/182 [02:58<00:41,  1.21s/it]
Epoch 36, training loss 0.117:  81%|████████▏ | 148/182 [02:59<00:41,  1.21s/it]
Epoch 36, training loss 0.117:  82%|████████▏ | 149/182 [02:59<00:39,  1.21s/it]
Epoch 36, training loss 0.116:  82%|████████▏ | 149/182 [03:00<00:40,  1.21s/it]
Epoch 36, training loss 0.116:  82%|████████▏ | 150/182 [03:01<00:38,  1.21s/it]
Epoch 36, training loss 0.116:  82%|████████▏ | 150/182 [03:01<00:38,  1.21s/it]
Epoch 36, training loss 0.116:  83%|████████▎ | 151/182 [03:02<00:37,  1.21s/it]
Epoch 36, training loss 0.116:  83%|████████▎ | 151/182 [03:03<00:37,  1.21s/it]
Epoch 36, training loss 0.116:  84%|████████▎ | 152/182 [03:03<00:36,  1.21s/it]
Epoch 36, training loss 0.116:  84%|████████▎ | 152/182 [03:04<00:36,  1.21s/it]
Epoch 36, training loss 0.116:  84%|████████▍ | 153/182 [03:04<00:35,  1.21s/it]
Epoch 36, training loss 0.116:  84%|████████▍ | 153/182 [03:05<00:35,  1.21s/it]
Epoch 36, training loss 0.116:  85%|████████▍ | 154/182 [03:05<00:33,  1.21s/it]
Epoch 36, training loss 0.116:  85%|████████▍ | 154/182 [03:06<00:33,  1.21s/it]
Epoch 36, training loss 0.116:  85%|████████▌ | 155/182 [03:06<00:32,  1.21s/it]
Epoch 36, training loss 0.116:  85%|████████▌ | 155/182 [03:07<00:32,  1.21s/it]
Epoch 36, training loss 0.116:  86%|████████▌ | 156/182 [03:08<00:31,  1.21s/it]
Epoch 36, training loss 0.116:  86%|████████▌ | 156/182 [03:08<00:31,  1.21s/it]
Epoch 36, training loss 0.116:  86%|████████▋ | 157/182 [03:09<00:30,  1.21s/it]
Epoch 36, training loss 0.116:  86%|████████▋ | 157/182 [03:09<00:30,  1.21s/it]
Epoch 36, training loss 0.116:  87%|████████▋ | 158/182 [03:10<00:28,  1.20s/it]
Epoch 36, training loss 0.116:  87%|████████▋ | 158/182 [03:10<00:29,  1.21s/it]
Epoch 36, training loss 0.116:  87%|████████▋ | 159/182 [03:11<00:27,  1.20s/it]
Epoch 36, training loss 0.117:  87%|████████▋ | 159/182 [03:12<00:27,  1.21s/it]
Epoch 36, training loss 0.117:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 36, training loss 0.116:  88%|████████▊ | 160/182 [03:13<00:26,  1.21s/it]
Epoch 36, training loss 0.116:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 36, training loss 0.116:  88%|████████▊ | 161/182 [03:14<00:25,  1.21s/it]
Epoch 36, training loss 0.116:  89%|████████▉ | 162/182 [03:15<00:24,  1.20s/it]
Epoch 36, training loss 0.116:  89%|████████▉ | 162/182 [03:15<00:24,  1.21s/it]
Epoch 36, training loss 0.116:  90%|████████▉ | 163/182 [03:16<00:22,  1.20s/it]
Epoch 36, training loss 0.116:  90%|████████▉ | 163/182 [03:16<00:22,  1.21s/it]
Epoch 36, training loss 0.116:  90%|█████████ | 164/182 [03:17<00:21,  1.20s/it]
Epoch 36, training loss 0.116:  90%|█████████ | 164/182 [03:17<00:21,  1.21s/it]
Epoch 36, training loss 0.116:  91%|█████████ | 165/182 [03:18<00:20,  1.20s/it]
Epoch 36, training loss 0.115:  91%|█████████ | 165/182 [03:19<00:20,  1.21s/it]
Epoch 36, training loss 0.115:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 36, training loss 0.115:  91%|█████████ | 166/182 [03:20<00:19,  1.21s/it]
Epoch 36, training loss 0.115:  92%|█████████▏| 167/182 [03:20<00:18,  1.20s/it]
Epoch 36, training loss 0.117:  92%|█████████▏| 167/182 [03:21<00:18,  1.21s/it]
Epoch 36, training loss 0.117:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 36, training loss 0.116:  92%|█████████▏| 168/182 [03:22<00:16,  1.21s/it]
Epoch 36, training loss 0.116:  93%|█████████▎| 169/182 [03:23<00:15,  1.20s/it]
Epoch 36, training loss 0.116:  93%|█████████▎| 169/182 [03:23<00:15,  1.21s/it]
Epoch 36, training loss 0.116:  93%|█████████▎| 170/182 [03:24<00:14,  1.20s/it]
Epoch 36, training loss 0.116:  93%|█████████▎| 170/182 [03:24<00:14,  1.20s/it]
Epoch 36, training loss 0.116:  94%|█████████▍| 171/182 [03:25<00:13,  1.20s/it]
Epoch 36, training loss 0.115:  94%|█████████▍| 171/182 [03:25<00:13,  1.20s/it]
Epoch 36, training loss 0.115:  95%|█████████▍| 172/182 [03:26<00:12,  1.20s/it]
Epoch 36, training loss 0.115:  95%|█████████▍| 172/182 [03:27<00:12,  1.20s/it]
Epoch 36, training loss 0.115:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 36, training loss 0.115:  95%|█████████▌| 173/182 [03:28<00:10,  1.20s/it]
Epoch 36, training loss 0.115:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 36, training loss 0.118:  96%|█████████▌| 174/182 [03:29<00:09,  1.20s/it]
Epoch 36, training loss 0.118:  96%|█████████▌| 175/182 [03:30<00:08,  1.20s/it]
Epoch 36, training loss 0.118:  96%|█████████▌| 175/182 [03:30<00:08,  1.20s/it]
Epoch 36, training loss 0.118:  97%|█████████▋| 176/182 [03:31<00:07,  1.20s/it]
Epoch 36, training loss 0.117:  97%|█████████▋| 176/182 [03:31<00:07,  1.20s/it]
Epoch 36, training loss 0.117:  97%|█████████▋| 177/182 [03:32<00:05,  1.20s/it]
Epoch 36, training loss 0.117:  97%|█████████▋| 177/182 [03:33<00:06,  1.20s/it]
Epoch 36, training loss 0.117:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 36, training loss 0.117:  98%|█████████▊| 178/182 [03:34<00:04,  1.20s/it]
Epoch 36, training loss 0.117:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 36, training loss 0.118:  98%|█████████▊| 179/182 [03:35<00:03,  1.20s/it]
Epoch 36, training loss 0.118:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 36, training loss 0.118:  99%|█████████▉| 180/182 [03:36<00:02,  1.20s/it]
Epoch 36, training loss 0.118:  99%|█████████▉| 181/182 [03:36<00:01,  1.20s/it]
Epoch 36, training loss 0.118:  99%|█████████▉| 181/182 [03:37<00:01,  1.20s/it]
Epoch 36, training loss 0.118: 100%|██████████| 182/182 [03:38<00:00,  1.20s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.591:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.591:   1%|          | 1/90 [00:04<06:41,  4.51s/it]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.726:   1%|          | 1/90 [00:04<07:20,  4.95s/it]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.726:   2%|▏         | 2/90 [00:04<03:37,  2.47s/it]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.790:   2%|▏         | 2/90 [00:05<03:56,  2.69s/it]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.790:   3%|▎         | 3/90 [00:05<02:36,  1.79s/it]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.841:   3%|▎         | 3/90 [00:05<02:49,  1.95s/it]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.841:   4%|▍         | 4/90 [00:05<02:05,  1.46s/it]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.904:   4%|▍         | 4/90 [00:06<02:15,  1.57s/it]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.904:   6%|▌         | 5/90 [00:06<01:47,  1.26s/it]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.903:   6%|▌         | 5/90 [00:06<01:54,  1.35s/it]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.903:   7%|▋         | 6/90 [00:06<01:34,  1.13s/it]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.896:   7%|▋         | 6/90 [00:07<01:41,  1.20s/it]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.896:   8%|▊         | 7/90 [00:07<01:25,  1.03s/it]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.897:   8%|▊         | 7/90 [00:07<01:30,  1.09s/it]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.897:   9%|▉         | 8/90 [00:07<01:18,  1.04it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.898:   9%|▉         | 8/90 [00:08<01:23,  1.02s/it]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.898:  10%|█         | 9/90 [00:08<01:13,  1.11it/s]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.904:  10%|█         | 9/90 [00:08<01:17,  1.05it/s]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.904:  11%|█         | 10/90 [00:08<01:08,  1.17it/s]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.904:  11%|█         | 10/90 [00:09<01:12,  1.10it/s]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.904:  12%|█▏        | 11/90 [00:09<01:05,  1.21it/s]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.901:  12%|█▏        | 11/90 [00:09<01:08,  1.16it/s]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.901:  13%|█▎        | 12/90 [00:09<01:01,  1.26it/s]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.905:  13%|█▎        | 12/90 [00:09<01:04,  1.21it/s]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.905:  14%|█▍        | 13/90 [00:09<00:58,  1.31it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.911:  14%|█▍        | 13/90 [00:10<01:01,  1.25it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.911:  16%|█▌        | 14/90 [00:10<00:56,  1.35it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.911:  16%|█▌        | 14/90 [00:10<00:58,  1.30it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.911:  17%|█▋        | 15/90 [00:10<00:53,  1.39it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.917:  17%|█▋        | 15/90 [00:11<00:56,  1.34it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.917:  18%|█▊        | 16/90 [00:11<00:51,  1.43it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.916:  18%|█▊        | 16/90 [00:11<00:53,  1.37it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.916:  19%|█▉        | 17/90 [00:11<00:50,  1.46it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.913:  19%|█▉        | 17/90 [00:12<00:52,  1.40it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.913:  20%|██        | 18/90 [00:12<00:48,  1.48it/s]
Epoch 36, validation pixAcc: 0.978, mIoU: 0.907:  20%|██        | 18/90 [00:12<00:50,  1.43it/s]
Epoch 36, validation pixAcc: 0.978, mIoU: 0.907:  21%|██        | 19/90 [00:12<00:46,  1.51it/s]
Epoch 36, validation pixAcc: 0.978, mIoU: 0.905:  21%|██        | 19/90 [00:13<00:48,  1.46it/s]
Epoch 36, validation pixAcc: 0.978, mIoU: 0.905:  22%|██▏       | 20/90 [00:13<00:45,  1.54it/s]
Epoch 36, validation pixAcc: 0.977, mIoU: 0.904:  22%|██▏       | 20/90 [00:13<00:47,  1.48it/s]
Epoch 36, validation pixAcc: 0.977, mIoU: 0.904:  23%|██▎       | 21/90 [00:13<00:44,  1.56it/s]
Epoch 36, validation pixAcc: 0.977, mIoU: 0.904:  23%|██▎       | 21/90 [00:13<00:45,  1.51it/s]
Epoch 36, validation pixAcc: 0.977, mIoU: 0.904:  24%|██▍       | 22/90 [00:13<00:43,  1.58it/s]
Epoch 36, validation pixAcc: 0.978, mIoU: 0.906:  24%|██▍       | 22/90 [00:14<00:44,  1.53it/s]
Epoch 36, validation pixAcc: 0.978, mIoU: 0.906:  26%|██▌       | 23/90 [00:14<00:41,  1.60it/s]
Epoch 36, validation pixAcc: 0.978, mIoU: 0.905:  26%|██▌       | 23/90 [00:14<00:43,  1.55it/s]
Epoch 36, validation pixAcc: 0.978, mIoU: 0.905:  27%|██▋       | 24/90 [00:14<00:40,  1.62it/s]
Epoch 36, validation pixAcc: 0.978, mIoU: 0.906:  27%|██▋       | 24/90 [00:15<00:41,  1.57it/s]
Epoch 36, validation pixAcc: 0.978, mIoU: 0.906:  28%|██▊       | 25/90 [00:15<00:39,  1.64it/s]
Epoch 36, validation pixAcc: 0.977, mIoU: 0.906:  28%|██▊       | 25/90 [00:15<00:40,  1.59it/s]
Epoch 36, validation pixAcc: 0.977, mIoU: 0.906:  29%|██▉       | 26/90 [00:15<00:38,  1.66it/s]
Epoch 36, validation pixAcc: 0.978, mIoU: 0.910:  29%|██▉       | 26/90 [00:16<00:39,  1.61it/s]
Epoch 36, validation pixAcc: 0.978, mIoU: 0.910:  30%|███       | 27/90 [00:16<00:37,  1.67it/s]
Epoch 36, validation pixAcc: 0.978, mIoU: 0.911:  30%|███       | 27/90 [00:16<00:38,  1.63it/s]
Epoch 36, validation pixAcc: 0.978, mIoU: 0.911:  31%|███       | 28/90 [00:16<00:36,  1.69it/s]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.911:  31%|███       | 28/90 [00:17<00:37,  1.64it/s]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.911:  32%|███▏      | 29/90 [00:17<00:35,  1.70it/s]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.912:  32%|███▏      | 29/90 [00:17<00:36,  1.65it/s]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.912:  33%|███▎      | 30/90 [00:17<00:35,  1.71it/s]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.914:  33%|███▎      | 30/90 [00:17<00:35,  1.67it/s]
Epoch 36, validation pixAcc: 0.979, mIoU: 0.914:  34%|███▍      | 31/90 [00:17<00:34,  1.72it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.914:  34%|███▍      | 31/90 [00:18<00:35,  1.68it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.914:  36%|███▌      | 32/90 [00:18<00:33,  1.74it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.916:  36%|███▌      | 32/90 [00:18<00:34,  1.70it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.916:  37%|███▋      | 33/90 [00:18<00:32,  1.75it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.917:  37%|███▋      | 33/90 [00:19<00:33,  1.71it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.917:  38%|███▊      | 34/90 [00:19<00:31,  1.76it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.917:  38%|███▊      | 34/90 [00:19<00:32,  1.72it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.917:  39%|███▉      | 35/90 [00:19<00:30,  1.77it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.917:  39%|███▉      | 35/90 [00:20<00:31,  1.73it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.917:  40%|████      | 36/90 [00:20<00:30,  1.78it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.917:  40%|████      | 36/90 [00:20<00:30,  1.74it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.917:  41%|████      | 37/90 [00:20<00:29,  1.79it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.917:  41%|████      | 37/90 [00:21<00:30,  1.75it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.917:  42%|████▏     | 38/90 [00:21<00:28,  1.80it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.917:  42%|████▏     | 38/90 [00:21<00:29,  1.77it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.917:  43%|████▎     | 39/90 [00:21<00:28,  1.81it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.919:  43%|████▎     | 39/90 [00:21<00:28,  1.77it/s]
Epoch 36, validation pixAcc: 0.980, mIoU: 0.919:  44%|████▍     | 40/90 [00:21<00:27,  1.82it/s]
Epoch 36, validation pixAcc: 0.981, mIoU: 0.918:  44%|████▍     | 40/90 [00:22<00:28,  1.78it/s]
Epoch 36, validation pixAcc: 0.981, mIoU: 0.918:  46%|████▌     | 41/90 [00:22<00:26,  1.83it/s]
Epoch 36, validation pixAcc: 0.981, mIoU: 0.918:  46%|████▌     | 41/90 [00:22<00:27,  1.80it/s]
Epoch 36, validation pixAcc: 0.981, mIoU: 0.918:  47%|████▋     | 42/90 [00:22<00:26,  1.84it/s]
Epoch 36, validation pixAcc: 0.981, mIoU: 0.919:  47%|████▋     | 42/90 [00:23<00:26,  1.81it/s]
Epoch 36, validation pixAcc: 0.981, mIoU: 0.919:  48%|████▊     | 43/90 [00:23<00:25,  1.85it/s]
Epoch 36, validation pixAcc: 0.981, mIoU: 0.920:  48%|████▊     | 43/90 [00:23<00:25,  1.82it/s]
Epoch 36, validation pixAcc: 0.981, mIoU: 0.920:  49%|████▉     | 44/90 [00:23<00:24,  1.86it/s]
Epoch 36, validation pixAcc: 0.981, mIoU: 0.920:  49%|████▉     | 44/90 [00:24<00:25,  1.82it/s]
Epoch 36, validation pixAcc: 0.981, mIoU: 0.920:  50%|█████     | 45/90 [00:24<00:24,  1.86it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.920:  50%|█████     | 45/90 [00:24<00:24,  1.83it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.920:  51%|█████     | 46/90 [00:24<00:23,  1.87it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  51%|█████     | 46/90 [00:25<00:23,  1.84it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  52%|█████▏    | 47/90 [00:25<00:22,  1.88it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.920:  52%|█████▏    | 47/90 [00:25<00:23,  1.85it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.920:  53%|█████▎    | 48/90 [00:25<00:22,  1.89it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.920:  53%|█████▎    | 48/90 [00:25<00:22,  1.86it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.920:  54%|█████▍    | 49/90 [00:25<00:21,  1.90it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.920:  54%|█████▍    | 49/90 [00:26<00:22,  1.86it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.920:  56%|█████▌    | 50/90 [00:26<00:21,  1.90it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  56%|█████▌    | 50/90 [00:26<00:21,  1.87it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  57%|█████▋    | 51/90 [00:26<00:20,  1.91it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  57%|█████▋    | 51/90 [00:27<00:20,  1.88it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  58%|█████▊    | 52/90 [00:27<00:19,  1.91it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.920:  58%|█████▊    | 52/90 [00:27<00:20,  1.88it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.920:  59%|█████▉    | 53/90 [00:27<00:19,  1.92it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.920:  59%|█████▉    | 53/90 [00:28<00:19,  1.89it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.920:  60%|██████    | 54/90 [00:28<00:18,  1.92it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  60%|██████    | 54/90 [00:28<00:19,  1.89it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  61%|██████    | 55/90 [00:28<00:18,  1.93it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  61%|██████    | 55/90 [00:28<00:18,  1.90it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  62%|██████▏   | 56/90 [00:28<00:17,  1.93it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  62%|██████▏   | 56/90 [00:29<00:17,  1.90it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  63%|██████▎   | 57/90 [00:29<00:17,  1.94it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  63%|██████▎   | 57/90 [00:29<00:17,  1.91it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  64%|██████▍   | 58/90 [00:29<00:16,  1.94it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  64%|██████▍   | 58/90 [00:30<00:16,  1.91it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  66%|██████▌   | 59/90 [00:30<00:15,  1.95it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  66%|██████▌   | 59/90 [00:30<00:16,  1.92it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.921:  67%|██████▋   | 60/90 [00:30<00:15,  1.95it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.922:  67%|██████▋   | 60/90 [00:31<00:15,  1.93it/s]
Epoch 36, validation pixAcc: 0.982, mIoU: 0.922:  68%|██████▊   | 61/90 [00:31<00:14,  1.96it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.922:  68%|██████▊   | 61/90 [00:31<00:15,  1.93it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.922:  69%|██████▉   | 62/90 [00:31<00:14,  1.96it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.923:  69%|██████▉   | 62/90 [00:32<00:14,  1.94it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.923:  70%|███████   | 63/90 [00:32<00:13,  1.97it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.923:  70%|███████   | 63/90 [00:32<00:13,  1.94it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.923:  71%|███████   | 64/90 [00:32<00:13,  1.97it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.923:  71%|███████   | 64/90 [00:32<00:13,  1.95it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.923:  72%|███████▏  | 65/90 [00:32<00:12,  1.98it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  72%|███████▏  | 65/90 [00:33<00:12,  1.95it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  73%|███████▎  | 66/90 [00:33<00:12,  1.98it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  73%|███████▎  | 66/90 [00:33<00:12,  1.96it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  74%|███████▍  | 67/90 [00:33<00:11,  1.99it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.923:  74%|███████▍  | 67/90 [00:34<00:11,  1.97it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.923:  76%|███████▌  | 68/90 [00:34<00:11,  1.99it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  76%|███████▌  | 68/90 [00:34<00:11,  1.97it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  77%|███████▋  | 69/90 [00:34<00:10,  2.00it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  77%|███████▋  | 69/90 [00:34<00:10,  1.97it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  78%|███████▊  | 70/90 [00:34<00:09,  2.00it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  78%|███████▊  | 70/90 [00:35<00:10,  1.98it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  79%|███████▉  | 71/90 [00:35<00:09,  2.01it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  79%|███████▉  | 71/90 [00:35<00:09,  1.98it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  80%|████████  | 72/90 [00:35<00:08,  2.01it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  80%|████████  | 72/90 [00:36<00:09,  1.99it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  81%|████████  | 73/90 [00:36<00:08,  2.01it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  81%|████████  | 73/90 [00:36<00:08,  1.99it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.924:  82%|████████▏ | 74/90 [00:36<00:07,  2.02it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.925:  82%|████████▏ | 74/90 [00:37<00:08,  1.99it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.925:  83%|████████▎ | 75/90 [00:37<00:07,  2.02it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.925:  83%|████████▎ | 75/90 [00:37<00:07,  2.00it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.925:  84%|████████▍ | 76/90 [00:37<00:06,  2.02it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.925:  84%|████████▍ | 76/90 [00:38<00:07,  2.00it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.925:  86%|████████▌ | 77/90 [00:38<00:06,  2.03it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.925:  86%|████████▌ | 77/90 [00:38<00:06,  2.00it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.925:  87%|████████▋ | 78/90 [00:38<00:05,  2.03it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.925:  87%|████████▋ | 78/90 [00:38<00:05,  2.01it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.925:  88%|████████▊ | 79/90 [00:38<00:05,  2.03it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.926:  88%|████████▊ | 79/90 [00:39<00:05,  2.01it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.926:  89%|████████▉ | 80/90 [00:39<00:04,  2.03it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.926:  89%|████████▉ | 80/90 [00:39<00:04,  2.01it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.926:  90%|█████████ | 81/90 [00:39<00:04,  2.04it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927:  90%|█████████ | 81/90 [00:40<00:04,  2.01it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927:  91%|█████████ | 82/90 [00:40<00:03,  2.04it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927:  91%|█████████ | 82/90 [00:40<00:03,  2.02it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927:  92%|█████████▏| 83/90 [00:40<00:03,  2.04it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927:  92%|█████████▏| 83/90 [00:41<00:03,  2.02it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927:  93%|█████████▎| 84/90 [00:41<00:02,  2.04it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927:  93%|█████████▎| 84/90 [00:41<00:02,  2.02it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927:  94%|█████████▍| 85/90 [00:41<00:02,  2.05it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927:  94%|█████████▍| 85/90 [00:41<00:02,  2.02it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927:  96%|█████████▌| 86/90 [00:41<00:01,  2.05it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927:  96%|█████████▌| 86/90 [00:42<00:01,  2.03it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927:  97%|█████████▋| 87/90 [00:42<00:01,  2.05it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927:  97%|█████████▋| 87/90 [00:42<00:01,  2.03it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927:  98%|█████████▊| 88/90 [00:42<00:00,  2.05it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.926:  98%|█████████▊| 88/90 [00:43<00:00,  2.03it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.926:  99%|█████████▉| 89/90 [00:43<00:00,  2.06it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927:  99%|█████████▉| 89/90 [00:43<00:00,  2.04it/s]
Epoch 36, validation pixAcc: 0.983, mIoU: 0.927: 100%|██████████| 90/90 [00:43<00:00,  2.06it/s]

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Epoch 37, training loss 0.040:   0%|          | 0/182 [00:05<?, ?it/s]
Epoch 37, training loss 0.040:   1%|          | 1/182 [00:05<16:59,  5.63s/it]
Epoch 37, training loss 0.042:   1%|          | 1/182 [00:06<19:08,  6.34s/it]
Epoch 37, training loss 0.042:   1%|          | 2/182 [00:06<10:16,  3.42s/it]
Epoch 37, training loss 0.053:   1%|          | 2/182 [00:07<11:16,  3.76s/it]
Epoch 37, training loss 0.053:   2%|▏         | 3/182 [00:08<07:57,  2.67s/it]
Epoch 37, training loss 0.052:   2%|▏         | 3/182 [00:08<08:39,  2.90s/it]
Epoch 37, training loss 0.052:   2%|▏         | 4/182 [00:09<06:50,  2.30s/it]
Epoch 37, training loss 0.061:   2%|▏         | 4/182 [00:09<07:16,  2.45s/it]
Epoch 37, training loss 0.061:   3%|▎         | 5/182 [00:10<06:05,  2.07s/it]
Epoch 37, training loss 0.057:   3%|▎         | 5/182 [00:11<06:34,  2.23s/it]
Epoch 37, training loss 0.057:   3%|▎         | 6/182 [00:11<05:41,  1.94s/it]
Epoch 37, training loss 0.061:   3%|▎         | 6/182 [00:12<06:01,  2.06s/it]
Epoch 37, training loss 0.061:   4%|▍         | 7/182 [00:12<05:21,  1.83s/it]
Epoch 37, training loss 0.060:   4%|▍         | 7/182 [00:13<05:37,  1.93s/it]
Epoch 37, training loss 0.060:   4%|▍         | 8/182 [00:13<05:04,  1.75s/it]
Epoch 37, training loss 0.061:   4%|▍         | 8/182 [00:14<05:16,  1.82s/it]
Epoch 37, training loss 0.061:   5%|▍         | 9/182 [00:15<04:49,  1.68s/it]
Epoch 37, training loss 0.060:   5%|▍         | 9/182 [00:15<05:01,  1.74s/it]
Epoch 37, training loss 0.060:   5%|▌         | 10/182 [00:16<04:38,  1.62s/it]
Epoch 37, training loss 0.077:   5%|▌         | 10/182 [00:16<04:48,  1.68s/it]
Epoch 37, training loss 0.077:   6%|▌         | 11/182 [00:17<04:28,  1.57s/it]
Epoch 37, training loss 0.077:   6%|▌         | 11/182 [00:18<04:39,  1.64s/it]
Epoch 37, training loss 0.077:   7%|▋         | 12/182 [00:18<04:22,  1.54s/it]
Epoch 37, training loss 0.076:   7%|▋         | 12/182 [00:19<04:32,  1.60s/it]
Epoch 37, training loss 0.076:   7%|▋         | 13/182 [00:19<04:16,  1.52s/it]
Epoch 37, training loss 0.074:   7%|▋         | 13/182 [00:20<04:25,  1.57s/it]
Epoch 37, training loss 0.074:   8%|▊         | 14/182 [00:20<04:11,  1.50s/it]
Epoch 37, training loss 0.093:   8%|▊         | 14/182 [00:21<04:19,  1.54s/it]
Epoch 37, training loss 0.093:   8%|▊         | 15/182 [00:22<04:06,  1.47s/it]
Epoch 37, training loss 0.101:   8%|▊         | 15/182 [00:22<04:13,  1.52s/it]
Epoch 37, training loss 0.101:   9%|▉         | 16/182 [00:23<04:01,  1.45s/it]
Epoch 37, training loss 0.104:   9%|▉         | 16/182 [00:23<04:08,  1.50s/it]
Epoch 37, training loss 0.104:   9%|▉         | 17/182 [00:24<03:57,  1.44s/it]
Epoch 37, training loss 0.105:   9%|▉         | 17/182 [00:25<04:04,  1.48s/it]
Epoch 37, training loss 0.105:  10%|▉         | 18/182 [00:25<03:54,  1.43s/it]
Epoch 37, training loss 0.115:  10%|▉         | 18/182 [00:26<04:00,  1.47s/it]
Epoch 37, training loss 0.115:  10%|█         | 19/182 [00:26<03:51,  1.42s/it]
Epoch 37, training loss 0.124:  10%|█         | 19/182 [00:27<03:57,  1.45s/it]
Epoch 37, training loss 0.124:  11%|█         | 20/182 [00:28<03:47,  1.41s/it]
Epoch 37, training loss 0.123:  11%|█         | 20/182 [00:28<03:53,  1.44s/it]
Epoch 37, training loss 0.123:  12%|█▏        | 21/182 [00:29<03:44,  1.40s/it]
Epoch 37, training loss 0.121:  12%|█▏        | 21/182 [00:29<03:49,  1.43s/it]
Epoch 37, training loss 0.121:  12%|█▏        | 22/182 [00:30<03:41,  1.39s/it]
Epoch 37, training loss 0.122:  12%|█▏        | 22/182 [00:31<03:47,  1.42s/it]
Epoch 37, training loss 0.122:  13%|█▎        | 23/182 [00:31<03:39,  1.38s/it]
Epoch 37, training loss 0.121:  13%|█▎        | 23/182 [00:32<03:44,  1.41s/it]
Epoch 37, training loss 0.121:  13%|█▎        | 24/182 [00:32<03:36,  1.37s/it]
Epoch 37, training loss 0.118:  13%|█▎        | 24/182 [00:33<03:40,  1.40s/it]
Epoch 37, training loss 0.118:  14%|█▎        | 25/182 [00:34<03:34,  1.36s/it]
Epoch 37, training loss 0.117:  14%|█▎        | 25/182 [00:34<03:38,  1.39s/it]
Epoch 37, training loss 0.117:  14%|█▍        | 26/182 [00:35<03:31,  1.36s/it]
Epoch 37, training loss 0.120:  14%|█▍        | 26/182 [00:35<03:35,  1.38s/it]
Epoch 37, training loss 0.120:  15%|█▍        | 27/182 [00:36<03:29,  1.35s/it]
Epoch 37, training loss 0.120:  15%|█▍        | 27/182 [00:37<03:32,  1.37s/it]
Epoch 37, training loss 0.120:  15%|█▌        | 28/182 [00:37<03:26,  1.34s/it]
Epoch 37, training loss 0.117:  15%|█▌        | 28/182 [00:38<03:30,  1.37s/it]
Epoch 37, training loss 0.117:  16%|█▌        | 29/182 [00:38<03:24,  1.34s/it]
Epoch 37, training loss 0.118:  16%|█▌        | 29/182 [00:39<03:28,  1.36s/it]
Epoch 37, training loss 0.118:  16%|█▋        | 30/182 [00:39<03:22,  1.33s/it]
Epoch 37, training loss 0.119:  16%|█▋        | 30/182 [00:40<03:25,  1.35s/it]
Epoch 37, training loss 0.119:  17%|█▋        | 31/182 [00:41<03:20,  1.33s/it]
Epoch 37, training loss 0.120:  17%|█▋        | 31/182 [00:41<03:23,  1.35s/it]
Epoch 37, training loss 0.120:  18%|█▊        | 32/182 [00:42<03:18,  1.32s/it]
Epoch 37, training loss 0.119:  18%|█▊        | 32/182 [00:42<03:21,  1.34s/it]
Epoch 37, training loss 0.119:  18%|█▊        | 33/182 [00:43<03:16,  1.32s/it]
Epoch 37, training loss 0.117:  18%|█▊        | 33/182 [00:44<03:19,  1.34s/it]
Epoch 37, training loss 0.117:  19%|█▊        | 34/182 [00:44<03:14,  1.31s/it]
Epoch 37, training loss 0.120:  19%|█▊        | 34/182 [00:45<03:17,  1.33s/it]
Epoch 37, training loss 0.120:  19%|█▉        | 35/182 [00:45<03:12,  1.31s/it]
Epoch 37, training loss 0.120:  19%|█▉        | 35/182 [00:46<03:15,  1.33s/it]
Epoch 37, training loss 0.120:  20%|█▉        | 36/182 [00:47<03:10,  1.31s/it]
Epoch 37, training loss 0.118:  20%|█▉        | 36/182 [00:47<03:13,  1.33s/it]
Epoch 37, training loss 0.118:  20%|██        | 37/182 [00:48<03:09,  1.31s/it]
Epoch 37, training loss 0.115:  20%|██        | 37/182 [00:48<03:11,  1.32s/it]
Epoch 37, training loss 0.115:  21%|██        | 38/182 [00:49<03:07,  1.30s/it]
Epoch 37, training loss 0.113:  21%|██        | 38/182 [00:50<03:09,  1.32s/it]
Epoch 37, training loss 0.113:  21%|██▏       | 39/182 [00:50<03:05,  1.30s/it]
Epoch 37, training loss 0.114:  21%|██▏       | 39/182 [00:51<03:07,  1.31s/it]
Epoch 37, training loss 0.114:  22%|██▏       | 40/182 [00:51<03:03,  1.29s/it]
Epoch 37, training loss 0.112:  22%|██▏       | 40/182 [00:52<03:05,  1.31s/it]
Epoch 37, training loss 0.112:  23%|██▎       | 41/182 [00:52<03:01,  1.29s/it]
Epoch 37, training loss 0.110:  23%|██▎       | 41/182 [00:53<03:04,  1.31s/it]
Epoch 37, training loss 0.110:  23%|██▎       | 42/182 [00:54<03:00,  1.29s/it]
Epoch 37, training loss 0.109:  23%|██▎       | 42/182 [00:54<03:02,  1.30s/it]
Epoch 37, training loss 0.109:  24%|██▎       | 43/182 [00:55<02:58,  1.28s/it]
Epoch 37, training loss 0.114:  24%|██▎       | 43/182 [00:55<03:00,  1.30s/it]
Epoch 37, training loss 0.114:  24%|██▍       | 44/182 [00:56<02:56,  1.28s/it]
Epoch 37, training loss 0.113:  24%|██▍       | 44/182 [00:56<02:58,  1.30s/it]
Epoch 37, training loss 0.113:  25%|██▍       | 45/182 [00:57<02:55,  1.28s/it]
Epoch 37, training loss 0.116:  25%|██▍       | 45/182 [00:58<02:56,  1.29s/it]
Epoch 37, training loss 0.116:  25%|██▌       | 46/182 [00:58<02:53,  1.27s/it]
Epoch 37, training loss 0.114:  25%|██▌       | 46/182 [00:59<02:55,  1.29s/it]
Epoch 37, training loss 0.114:  26%|██▌       | 47/182 [00:59<02:51,  1.27s/it]
Epoch 37, training loss 0.113:  26%|██▌       | 47/182 [01:00<02:53,  1.29s/it]
Epoch 37, training loss 0.113:  26%|██▋       | 48/182 [01:00<02:50,  1.27s/it]
Epoch 37, training loss 0.112:  26%|██▋       | 48/182 [01:01<02:52,  1.28s/it]
Epoch 37, training loss 0.112:  27%|██▋       | 49/182 [01:02<02:48,  1.27s/it]
Epoch 37, training loss 0.111:  27%|██▋       | 49/182 [01:02<02:50,  1.28s/it]
Epoch 37, training loss 0.111:  27%|██▋       | 50/182 [01:03<02:47,  1.27s/it]
Epoch 37, training loss 0.112:  27%|██▋       | 50/182 [01:04<02:49,  1.28s/it]
Epoch 37, training loss 0.112:  28%|██▊       | 51/182 [01:04<02:45,  1.27s/it]
Epoch 37, training loss 0.113:  28%|██▊       | 51/182 [01:05<02:47,  1.28s/it]
Epoch 37, training loss 0.113:  29%|██▊       | 52/182 [01:05<02:44,  1.26s/it]
Epoch 37, training loss 0.115:  29%|██▊       | 52/182 [01:06<02:45,  1.28s/it]
Epoch 37, training loss 0.115:  29%|██▉       | 53/182 [01:06<02:42,  1.26s/it]
Epoch 37, training loss 0.114:  29%|██▉       | 53/182 [01:07<02:44,  1.27s/it]
Epoch 37, training loss 0.114:  30%|██▉       | 54/182 [01:08<02:41,  1.26s/it]
Epoch 37, training loss 0.113:  30%|██▉       | 54/182 [01:08<02:43,  1.27s/it]
Epoch 37, training loss 0.113:  30%|███       | 55/182 [01:09<02:40,  1.26s/it]
Epoch 37, training loss 0.111:  30%|███       | 55/182 [01:09<02:41,  1.27s/it]
Epoch 37, training loss 0.111:  31%|███       | 56/182 [01:10<02:38,  1.26s/it]
Epoch 37, training loss 0.111:  31%|███       | 56/182 [01:11<02:39,  1.27s/it]
Epoch 37, training loss 0.111:  31%|███▏      | 57/182 [01:11<02:36,  1.26s/it]
Epoch 37, training loss 0.115:  31%|███▏      | 57/182 [01:12<02:38,  1.27s/it]
Epoch 37, training loss 0.115:  32%|███▏      | 58/182 [01:12<02:35,  1.25s/it]
Epoch 37, training loss 0.115:  32%|███▏      | 58/182 [01:13<02:36,  1.27s/it]
Epoch 37, training loss 0.115:  32%|███▏      | 59/182 [01:13<02:34,  1.25s/it]
Epoch 37, training loss 0.113:  32%|███▏      | 59/182 [01:14<02:35,  1.27s/it]
Epoch 37, training loss 0.113:  33%|███▎      | 60/182 [01:15<02:32,  1.25s/it]
Epoch 37, training loss 0.113:  33%|███▎      | 60/182 [01:15<02:33,  1.26s/it]
Epoch 37, training loss 0.113:  34%|███▎      | 61/182 [01:16<02:31,  1.25s/it]
Epoch 37, training loss 0.112:  34%|███▎      | 61/182 [01:16<02:32,  1.26s/it]
Epoch 37, training loss 0.112:  34%|███▍      | 62/182 [01:17<02:29,  1.25s/it]
Epoch 37, training loss 0.111:  34%|███▍      | 62/182 [01:17<02:30,  1.26s/it]
Epoch 37, training loss 0.111:  35%|███▍      | 63/182 [01:18<02:28,  1.25s/it]
Epoch 37, training loss 0.110:  35%|███▍      | 63/182 [01:19<02:29,  1.26s/it]
Epoch 37, training loss 0.110:  35%|███▌      | 64/182 [01:19<02:26,  1.24s/it]
Epoch 37, training loss 0.114:  35%|███▌      | 64/182 [01:20<02:28,  1.26s/it]
Epoch 37, training loss 0.114:  36%|███▌      | 65/182 [01:20<02:25,  1.24s/it]
Epoch 37, training loss 0.113:  36%|███▌      | 65/182 [01:21<02:26,  1.25s/it]
Epoch 37, training loss 0.113:  36%|███▋      | 66/182 [01:21<02:24,  1.24s/it]
Epoch 37, training loss 0.118:  36%|███▋      | 66/182 [01:22<02:25,  1.25s/it]
Epoch 37, training loss 0.118:  37%|███▋      | 67/182 [01:23<02:22,  1.24s/it]
Epoch 37, training loss 0.116:  37%|███▋      | 67/182 [01:23<02:23,  1.25s/it]
Epoch 37, training loss 0.116:  37%|███▋      | 68/182 [01:24<02:21,  1.24s/it]
Epoch 37, training loss 0.115:  37%|███▋      | 68/182 [01:24<02:22,  1.25s/it]
Epoch 37, training loss 0.115:  38%|███▊      | 69/182 [01:25<02:19,  1.24s/it]
Epoch 37, training loss 0.114:  38%|███▊      | 69/182 [01:26<02:21,  1.25s/it]
Epoch 37, training loss 0.114:  38%|███▊      | 70/182 [01:26<02:18,  1.24s/it]
Epoch 37, training loss 0.115:  38%|███▊      | 70/182 [01:27<02:19,  1.25s/it]
Epoch 37, training loss 0.115:  39%|███▉      | 71/182 [01:27<02:17,  1.24s/it]
Epoch 37, training loss 0.115:  39%|███▉      | 71/182 [01:28<02:18,  1.25s/it]
Epoch 37, training loss 0.115:  40%|███▉      | 72/182 [01:29<02:15,  1.24s/it]
Epoch 37, training loss 0.114:  40%|███▉      | 72/182 [01:29<02:16,  1.25s/it]
Epoch 37, training loss 0.114:  40%|████      | 73/182 [01:30<02:14,  1.24s/it]
Epoch 37, training loss 0.113:  40%|████      | 73/182 [01:30<02:15,  1.24s/it]
Epoch 37, training loss 0.113:  41%|████      | 74/182 [01:31<02:13,  1.23s/it]
Epoch 37, training loss 0.112:  41%|████      | 74/182 [01:32<02:14,  1.24s/it]
Epoch 37, training loss 0.112:  41%|████      | 75/182 [01:32<02:11,  1.23s/it]
Epoch 37, training loss 0.113:  41%|████      | 75/182 [01:33<02:13,  1.24s/it]
Epoch 37, training loss 0.113:  42%|████▏     | 76/182 [01:33<02:10,  1.23s/it]
Epoch 37, training loss 0.115:  42%|████▏     | 76/182 [01:34<02:11,  1.24s/it]
Epoch 37, training loss 0.115:  42%|████▏     | 77/182 [01:34<02:09,  1.23s/it]
Epoch 37, training loss 0.114:  42%|████▏     | 77/182 [01:35<02:10,  1.24s/it]
Epoch 37, training loss 0.114:  43%|████▎     | 78/182 [01:36<02:08,  1.23s/it]
Epoch 37, training loss 0.114:  43%|████▎     | 78/182 [01:36<02:09,  1.24s/it]
Epoch 37, training loss 0.114:  43%|████▎     | 79/182 [01:37<02:06,  1.23s/it]
Epoch 37, training loss 0.113:  43%|████▎     | 79/182 [01:37<02:07,  1.24s/it]
Epoch 37, training loss 0.113:  44%|████▍     | 80/182 [01:38<02:05,  1.23s/it]
Epoch 37, training loss 0.112:  44%|████▍     | 80/182 [01:39<02:06,  1.24s/it]
Epoch 37, training loss 0.112:  45%|████▍     | 81/182 [01:39<02:04,  1.23s/it]
Epoch 37, training loss 0.112:  45%|████▍     | 81/182 [01:40<02:05,  1.24s/it]
Epoch 37, training loss 0.112:  45%|████▌     | 82/182 [01:40<02:03,  1.23s/it]
Epoch 37, training loss 0.113:  45%|████▌     | 82/182 [01:41<02:04,  1.24s/it]
Epoch 37, training loss 0.113:  46%|████▌     | 83/182 [01:42<02:01,  1.23s/it]
Epoch 37, training loss 0.113:  46%|████▌     | 83/182 [01:42<02:02,  1.24s/it]
Epoch 37, training loss 0.113:  46%|████▌     | 84/182 [01:43<02:00,  1.23s/it]
Epoch 37, training loss 0.114:  46%|████▌     | 84/182 [01:43<02:01,  1.24s/it]
Epoch 37, training loss 0.114:  47%|████▋     | 85/182 [01:44<01:59,  1.23s/it]
Epoch 37, training loss 0.113:  47%|████▋     | 85/182 [01:45<01:59,  1.24s/it]
Epoch 37, training loss 0.113:  47%|████▋     | 86/182 [01:45<01:57,  1.23s/it]
Epoch 37, training loss 0.113:  47%|████▋     | 86/182 [01:46<01:58,  1.24s/it]
Epoch 37, training loss 0.113:  48%|████▊     | 87/182 [01:46<01:56,  1.23s/it]
Epoch 37, training loss 0.112:  48%|████▊     | 87/182 [01:47<01:57,  1.23s/it]
Epoch 37, training loss 0.112:  48%|████▊     | 88/182 [01:47<01:55,  1.23s/it]
Epoch 37, training loss 0.114:  48%|████▊     | 88/182 [01:48<01:55,  1.23s/it]
Epoch 37, training loss 0.114:  49%|████▉     | 89/182 [01:49<01:53,  1.23s/it]
Epoch 37, training loss 0.113:  49%|████▉     | 89/182 [01:49<01:54,  1.23s/it]
Epoch 37, training loss 0.113:  49%|████▉     | 90/182 [01:50<01:52,  1.22s/it]
Epoch 37, training loss 0.113:  49%|████▉     | 90/182 [01:50<01:53,  1.23s/it]
Epoch 37, training loss 0.113:  50%|█████     | 91/182 [01:51<01:51,  1.22s/it]
Epoch 37, training loss 0.114:  50%|█████     | 91/182 [01:52<01:52,  1.23s/it]
Epoch 37, training loss 0.114:  51%|█████     | 92/182 [01:52<01:50,  1.22s/it]
Epoch 37, training loss 0.115:  51%|█████     | 92/182 [01:53<01:50,  1.23s/it]
Epoch 37, training loss 0.115:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 37, training loss 0.114:  51%|█████     | 93/182 [01:54<01:49,  1.23s/it]
Epoch 37, training loss 0.114:  52%|█████▏    | 94/182 [01:54<01:47,  1.22s/it]
Epoch 37, training loss 0.114:  52%|█████▏    | 94/182 [01:55<01:48,  1.23s/it]
Epoch 37, training loss 0.114:  52%|█████▏    | 95/182 [01:56<01:46,  1.22s/it]
Epoch 37, training loss 0.114:  52%|█████▏    | 95/182 [01:56<01:46,  1.23s/it]
Epoch 37, training loss 0.114:  53%|█████▎    | 96/182 [01:57<01:44,  1.22s/it]
Epoch 37, training loss 0.114:  53%|█████▎    | 96/182 [01:57<01:45,  1.23s/it]
Epoch 37, training loss 0.114:  53%|█████▎    | 97/182 [01:58<01:43,  1.22s/it]
Epoch 37, training loss 0.113:  53%|█████▎    | 97/182 [01:59<01:44,  1.23s/it]
Epoch 37, training loss 0.113:  54%|█████▍    | 98/182 [01:59<01:42,  1.22s/it]
Epoch 37, training loss 0.116:  54%|█████▍    | 98/182 [02:00<01:43,  1.23s/it]
Epoch 37, training loss 0.116:  54%|█████▍    | 99/182 [02:00<01:41,  1.22s/it]
Epoch 37, training loss 0.115:  54%|█████▍    | 99/182 [02:01<01:41,  1.23s/it]
Epoch 37, training loss 0.115:  55%|█████▍    | 100/182 [02:01<01:39,  1.22s/it]
Epoch 37, training loss 0.115:  55%|█████▍    | 100/182 [02:02<01:40,  1.23s/it]
Epoch 37, training loss 0.115:  55%|█████▌    | 101/182 [02:03<01:38,  1.22s/it]
Epoch 37, training loss 0.115:  55%|█████▌    | 101/182 [02:03<01:39,  1.22s/it]
Epoch 37, training loss 0.115:  56%|█████▌    | 102/182 [02:04<01:37,  1.22s/it]
Epoch 37, training loss 0.114:  56%|█████▌    | 102/182 [02:04<01:37,  1.22s/it]
Epoch 37, training loss 0.114:  57%|█████▋    | 103/182 [02:05<01:36,  1.22s/it]
Epoch 37, training loss 0.114:  57%|█████▋    | 103/182 [02:05<01:36,  1.22s/it]
Epoch 37, training loss 0.114:  57%|█████▋    | 104/182 [02:06<01:34,  1.22s/it]
Epoch 37, training loss 0.114:  57%|█████▋    | 104/182 [02:07<01:35,  1.22s/it]
Epoch 37, training loss 0.114:  58%|█████▊    | 105/182 [02:07<01:33,  1.22s/it]
Epoch 37, training loss 0.114:  58%|█████▊    | 105/182 [02:08<01:34,  1.22s/it]
Epoch 37, training loss 0.114:  58%|█████▊    | 106/182 [02:08<01:32,  1.22s/it]
Epoch 37, training loss 0.113:  58%|█████▊    | 106/182 [02:09<01:32,  1.22s/it]
Epoch 37, training loss 0.113:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 37, training loss 0.113:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 37, training loss 0.113:  59%|█████▉    | 108/182 [02:11<01:29,  1.21s/it]
Epoch 37, training loss 0.113:  59%|█████▉    | 108/182 [02:11<01:30,  1.22s/it]
Epoch 37, training loss 0.113:  60%|█████▉    | 109/182 [02:12<01:28,  1.21s/it]
Epoch 37, training loss 0.116:  60%|█████▉    | 109/182 [02:13<01:29,  1.22s/it]
Epoch 37, training loss 0.116:  60%|██████    | 110/182 [02:13<01:27,  1.22s/it]
Epoch 37, training loss 0.115:  60%|██████    | 110/182 [02:14<01:27,  1.22s/it]
Epoch 37, training loss 0.115:  61%|██████    | 111/182 [02:14<01:26,  1.21s/it]
Epoch 37, training loss 0.115:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 37, training loss 0.115:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 37, training loss 0.114:  62%|██████▏   | 112/182 [02:16<01:25,  1.22s/it]
Epoch 37, training loss 0.114:  62%|██████▏   | 113/182 [02:17<01:23,  1.21s/it]
Epoch 37, training loss 0.114:  62%|██████▏   | 113/182 [02:17<01:24,  1.22s/it]
Epoch 37, training loss 0.114:  63%|██████▎   | 114/182 [02:18<01:22,  1.21s/it]
Epoch 37, training loss 0.114:  63%|██████▎   | 114/182 [02:18<01:22,  1.22s/it]
Epoch 37, training loss 0.114:  63%|██████▎   | 115/182 [02:19<01:21,  1.21s/it]
Epoch 37, training loss 0.113:  63%|██████▎   | 115/182 [02:20<01:21,  1.22s/it]
Epoch 37, training loss 0.113:  64%|██████▎   | 116/182 [02:20<01:19,  1.21s/it]
Epoch 37, training loss 0.113:  64%|██████▎   | 116/182 [02:21<01:20,  1.22s/it]
Epoch 37, training loss 0.113:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 37, training loss 0.112:  64%|██████▍   | 117/182 [02:22<01:19,  1.22s/it]
Epoch 37, training loss 0.112:  65%|██████▍   | 118/182 [02:23<01:17,  1.21s/it]
Epoch 37, training loss 0.113:  65%|██████▍   | 118/182 [02:23<01:17,  1.22s/it]
Epoch 37, training loss 0.113:  65%|██████▌   | 119/182 [02:24<01:16,  1.21s/it]
Epoch 37, training loss 0.112:  65%|██████▌   | 119/182 [02:24<01:16,  1.22s/it]
Epoch 37, training loss 0.112:  66%|██████▌   | 120/182 [02:25<01:15,  1.21s/it]
Epoch 37, training loss 0.111:  66%|██████▌   | 120/182 [02:26<01:15,  1.22s/it]
Epoch 37, training loss 0.111:  66%|██████▋   | 121/182 [02:26<01:13,  1.21s/it]
Epoch 37, training loss 0.111:  66%|██████▋   | 121/182 [02:27<01:14,  1.22s/it]
Epoch 37, training loss 0.111:  67%|██████▋   | 122/182 [02:27<01:12,  1.21s/it]
Epoch 37, training loss 0.110:  67%|██████▋   | 122/182 [02:28<01:12,  1.22s/it]
Epoch 37, training loss 0.110:  68%|██████▊   | 123/182 [02:28<01:11,  1.21s/it]
Epoch 37, training loss 0.111:  68%|██████▊   | 123/182 [02:29<01:11,  1.21s/it]
Epoch 37, training loss 0.111:  68%|██████▊   | 124/182 [02:29<01:10,  1.21s/it]
Epoch 37, training loss 0.110:  68%|██████▊   | 124/182 [02:30<01:10,  1.21s/it]
Epoch 37, training loss 0.110:  69%|██████▊   | 125/182 [02:31<01:08,  1.21s/it]
Epoch 37, training loss 0.110:  69%|██████▊   | 125/182 [02:31<01:09,  1.21s/it]
Epoch 37, training loss 0.110:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 37, training loss 0.109:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 37, training loss 0.109:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 37, training loss 0.109:  70%|██████▉   | 127/182 [02:34<01:06,  1.21s/it]
Epoch 37, training loss 0.109:  70%|███████   | 128/182 [02:34<01:05,  1.21s/it]
Epoch 37, training loss 0.109:  70%|███████   | 128/182 [02:35<01:05,  1.21s/it]
Epoch 37, training loss 0.109:  71%|███████   | 129/182 [02:35<01:04,  1.21s/it]
Epoch 37, training loss 0.110:  71%|███████   | 129/182 [02:36<01:04,  1.21s/it]
Epoch 37, training loss 0.110:  71%|███████▏  | 130/182 [02:37<01:02,  1.21s/it]
Epoch 37, training loss 0.109:  71%|███████▏  | 130/182 [02:37<01:03,  1.21s/it]
Epoch 37, training loss 0.109:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 37, training loss 0.109:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 37, training loss 0.109:  73%|███████▎  | 132/182 [02:39<01:00,  1.21s/it]
Epoch 37, training loss 0.111:  73%|███████▎  | 132/182 [02:40<01:00,  1.21s/it]
Epoch 37, training loss 0.111:  73%|███████▎  | 133/182 [02:40<00:59,  1.21s/it]
Epoch 37, training loss 0.111:  73%|███████▎  | 133/182 [02:41<00:59,  1.21s/it]
Epoch 37, training loss 0.111:  74%|███████▎  | 134/182 [02:41<00:57,  1.21s/it]
Epoch 37, training loss 0.111:  74%|███████▎  | 134/182 [02:42<00:58,  1.21s/it]
Epoch 37, training loss 0.111:  74%|███████▍  | 135/182 [02:42<00:56,  1.21s/it]
Epoch 37, training loss 0.112:  74%|███████▍  | 135/182 [02:43<00:56,  1.21s/it]
Epoch 37, training loss 0.112:  75%|███████▍  | 136/182 [02:43<00:55,  1.21s/it]
Epoch 37, training loss 0.112:  75%|███████▍  | 136/182 [02:44<00:55,  1.21s/it]
Epoch 37, training loss 0.112:  75%|███████▌  | 137/182 [02:45<00:54,  1.21s/it]
Epoch 37, training loss 0.114:  75%|███████▌  | 137/182 [02:45<00:54,  1.21s/it]
Epoch 37, training loss 0.114:  76%|███████▌  | 138/182 [02:46<00:53,  1.21s/it]
Epoch 37, training loss 0.113:  76%|███████▌  | 138/182 [02:46<00:53,  1.21s/it]
Epoch 37, training loss 0.113:  76%|███████▋  | 139/182 [02:47<00:51,  1.20s/it]
Epoch 37, training loss 0.113:  76%|███████▋  | 139/182 [02:48<00:52,  1.21s/it]
Epoch 37, training loss 0.113:  77%|███████▋  | 140/182 [02:48<00:50,  1.20s/it]
Epoch 37, training loss 0.113:  77%|███████▋  | 140/182 [02:49<00:50,  1.21s/it]
Epoch 37, training loss 0.113:  77%|███████▋  | 141/182 [02:49<00:49,  1.20s/it]
Epoch 37, training loss 0.114:  77%|███████▋  | 141/182 [02:50<00:49,  1.21s/it]
Epoch 37, training loss 0.114:  78%|███████▊  | 142/182 [02:51<00:48,  1.20s/it]
Epoch 37, training loss 0.114:  78%|███████▊  | 142/182 [02:51<00:48,  1.21s/it]
Epoch 37, training loss 0.114:  79%|███████▊  | 143/182 [02:52<00:46,  1.20s/it]
Epoch 37, training loss 0.115:  79%|███████▊  | 143/182 [02:52<00:47,  1.21s/it]
Epoch 37, training loss 0.115:  79%|███████▉  | 144/182 [02:53<00:45,  1.20s/it]
Epoch 37, training loss 0.114:  79%|███████▉  | 144/182 [02:54<00:45,  1.21s/it]
Epoch 37, training loss 0.114:  80%|███████▉  | 145/182 [02:54<00:44,  1.20s/it]
Epoch 37, training loss 0.114:  80%|███████▉  | 145/182 [02:55<00:44,  1.21s/it]
Epoch 37, training loss 0.114:  80%|████████  | 146/182 [02:55<00:43,  1.20s/it]
Epoch 37, training loss 0.113:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 37, training loss 0.113:  81%|████████  | 147/182 [02:56<00:42,  1.20s/it]
Epoch 37, training loss 0.113:  81%|████████  | 147/182 [02:57<00:42,  1.21s/it]
Epoch 37, training loss 0.113:  81%|████████▏ | 148/182 [02:58<00:40,  1.20s/it]
Epoch 37, training loss 0.113:  81%|████████▏ | 148/182 [02:58<00:41,  1.21s/it]
Epoch 37, training loss 0.113:  82%|████████▏ | 149/182 [02:59<00:39,  1.20s/it]
Epoch 37, training loss 0.112:  82%|████████▏ | 149/182 [02:59<00:39,  1.21s/it]
Epoch 37, training loss 0.112:  82%|████████▏ | 150/182 [03:00<00:38,  1.20s/it]
Epoch 37, training loss 0.112:  82%|████████▏ | 150/182 [03:01<00:38,  1.21s/it]
Epoch 37, training loss 0.112:  83%|████████▎ | 151/182 [03:01<00:37,  1.20s/it]
Epoch 37, training loss 0.111:  83%|████████▎ | 151/182 [03:02<00:37,  1.21s/it]
Epoch 37, training loss 0.111:  84%|████████▎ | 152/182 [03:02<00:36,  1.20s/it]
Epoch 37, training loss 0.111:  84%|████████▎ | 152/182 [03:03<00:36,  1.21s/it]
Epoch 37, training loss 0.111:  84%|████████▍ | 153/182 [03:03<00:34,  1.20s/it]
Epoch 37, training loss 0.111:  84%|████████▍ | 153/182 [03:04<00:34,  1.21s/it]
Epoch 37, training loss 0.111:  85%|████████▍ | 154/182 [03:05<00:33,  1.20s/it]
Epoch 37, training loss 0.112:  85%|████████▍ | 154/182 [03:05<00:33,  1.21s/it]
Epoch 37, training loss 0.112:  85%|████████▌ | 155/182 [03:06<00:32,  1.20s/it]
Epoch 37, training loss 0.111:  85%|████████▌ | 155/182 [03:06<00:32,  1.21s/it]
Epoch 37, training loss 0.111:  86%|████████▌ | 156/182 [03:07<00:31,  1.20s/it]
Epoch 37, training loss 0.111:  86%|████████▌ | 156/182 [03:08<00:31,  1.21s/it]
Epoch 37, training loss 0.111:  86%|████████▋ | 157/182 [03:08<00:30,  1.20s/it]
Epoch 37, training loss 0.111:  86%|████████▋ | 157/182 [03:09<00:30,  1.21s/it]
Epoch 37, training loss 0.111:  87%|████████▋ | 158/182 [03:09<00:28,  1.20s/it]
Epoch 37, training loss 0.111:  87%|████████▋ | 158/182 [03:10<00:28,  1.20s/it]
Epoch 37, training loss 0.111:  87%|████████▋ | 159/182 [03:10<00:27,  1.20s/it]
Epoch 37, training loss 0.111:  87%|████████▋ | 159/182 [03:11<00:27,  1.20s/it]
Epoch 37, training loss 0.111:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 37, training loss 0.110:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 37, training loss 0.110:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 37, training loss 0.110:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 37, training loss 0.110:  89%|████████▉ | 162/182 [03:14<00:23,  1.20s/it]
Epoch 37, training loss 0.111:  89%|████████▉ | 162/182 [03:15<00:24,  1.20s/it]
Epoch 37, training loss 0.111:  90%|████████▉ | 163/182 [03:15<00:22,  1.20s/it]
Epoch 37, training loss 0.111:  90%|████████▉ | 163/182 [03:16<00:22,  1.20s/it]
Epoch 37, training loss 0.111:  90%|█████████ | 164/182 [03:16<00:21,  1.20s/it]
Epoch 37, training loss 0.111:  90%|█████████ | 164/182 [03:17<00:21,  1.20s/it]
Epoch 37, training loss 0.111:  91%|█████████ | 165/182 [03:17<00:20,  1.20s/it]
Epoch 37, training loss 0.111:  91%|█████████ | 165/182 [03:18<00:20,  1.20s/it]
Epoch 37, training loss 0.111:  91%|█████████ | 166/182 [03:18<00:19,  1.20s/it]
Epoch 37, training loss 0.110:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 37, training loss 0.110:  92%|█████████▏| 167/182 [03:20<00:17,  1.20s/it]
Epoch 37, training loss 0.110:  92%|█████████▏| 167/182 [03:20<00:18,  1.20s/it]
Epoch 37, training loss 0.110:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 37, training loss 0.111:  92%|█████████▏| 168/182 [03:22<00:16,  1.20s/it]
Epoch 37, training loss 0.111:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 37, training loss 0.110:  93%|█████████▎| 169/182 [03:23<00:15,  1.20s/it]
Epoch 37, training loss 0.110:  93%|█████████▎| 170/182 [03:23<00:14,  1.20s/it]
Epoch 37, training loss 0.110:  93%|█████████▎| 170/182 [03:24<00:14,  1.20s/it]
Epoch 37, training loss 0.110:  94%|█████████▍| 171/182 [03:24<00:13,  1.20s/it]
Epoch 37, training loss 0.109:  94%|█████████▍| 171/182 [03:25<00:13,  1.20s/it]
Epoch 37, training loss 0.109:  95%|█████████▍| 172/182 [03:26<00:11,  1.20s/it]
Epoch 37, training loss 0.109:  95%|█████████▍| 172/182 [03:26<00:12,  1.20s/it]
Epoch 37, training loss 0.109:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 37, training loss 0.109:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 37, training loss 0.109:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 37, training loss 0.110:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 37, training loss 0.110:  96%|█████████▌| 175/182 [03:29<00:08,  1.20s/it]
Epoch 37, training loss 0.111:  96%|█████████▌| 175/182 [03:30<00:08,  1.20s/it]
Epoch 37, training loss 0.111:  97%|█████████▋| 176/182 [03:30<00:07,  1.20s/it]
Epoch 37, training loss 0.111:  97%|█████████▋| 176/182 [03:31<00:07,  1.20s/it]
Epoch 37, training loss 0.111:  97%|█████████▋| 177/182 [03:31<00:05,  1.20s/it]
Epoch 37, training loss 0.112:  97%|█████████▋| 177/182 [03:32<00:06,  1.20s/it]
Epoch 37, training loss 0.112:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 37, training loss 0.112:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 37, training loss 0.112:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 37, training loss 0.111:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 37, training loss 0.111:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 37, training loss 0.111:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 37, training loss 0.111:  99%|█████████▉| 181/182 [03:36<00:01,  1.20s/it]
Epoch 37, training loss 0.111:  99%|█████████▉| 181/182 [03:37<00:01,  1.20s/it]
Epoch 37, training loss 0.111: 100%|██████████| 182/182 [03:37<00:00,  1.20s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.600:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.600:   1%|          | 1/91 [00:04<06:45,  4.51s/it]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.776:   1%|          | 1/91 [00:04<07:20,  4.89s/it]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.776:   2%|▏         | 2/91 [00:04<03:37,  2.45s/it]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.806:   2%|▏         | 2/91 [00:05<03:58,  2.68s/it]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.806:   3%|▎         | 3/91 [00:05<02:37,  1.78s/it]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.804:   3%|▎         | 3/91 [00:05<02:50,  1.93s/it]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.804:   4%|▍         | 4/91 [00:05<02:06,  1.45s/it]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.852:   4%|▍         | 4/91 [00:06<02:15,  1.56s/it]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.852:   5%|▌         | 5/91 [00:06<01:47,  1.25s/it]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.906:   5%|▌         | 5/91 [00:06<01:54,  1.34s/it]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.906:   7%|▋         | 6/91 [00:06<01:34,  1.11s/it]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.903:   7%|▋         | 6/91 [00:07<01:40,  1.18s/it]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.903:   8%|▊         | 7/91 [00:07<01:25,  1.01s/it]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.900:   8%|▊         | 7/91 [00:07<01:30,  1.07s/it]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.900:   9%|▉         | 8/91 [00:07<01:18,  1.06it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.905:   9%|▉         | 8/91 [00:07<01:22,  1.01it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.905:  10%|▉         | 9/91 [00:07<01:12,  1.14it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.906:  10%|▉         | 9/91 [00:08<01:16,  1.08it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.906:  11%|█         | 10/91 [00:08<01:07,  1.20it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.909:  11%|█         | 10/91 [00:08<01:11,  1.14it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.909:  12%|█▏        | 11/91 [00:08<01:03,  1.25it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.908:  12%|█▏        | 11/91 [00:09<01:07,  1.19it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.908:  13%|█▎        | 12/91 [00:09<01:00,  1.30it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.906:  13%|█▎        | 12/91 [00:09<01:03,  1.24it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.906:  14%|█▍        | 13/91 [00:09<00:58,  1.34it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.913:  14%|█▍        | 13/91 [00:10<01:00,  1.29it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.913:  15%|█▌        | 14/91 [00:10<00:55,  1.38it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.914:  15%|█▌        | 14/91 [00:10<00:58,  1.33it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.914:  16%|█▋        | 15/91 [00:10<00:53,  1.42it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.916:  16%|█▋        | 15/91 [00:10<00:55,  1.37it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.916:  18%|█▊        | 16/91 [00:10<00:51,  1.46it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.918:  18%|█▊        | 16/91 [00:11<00:53,  1.40it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.918:  19%|█▊        | 17/91 [00:11<00:49,  1.49it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.917:  19%|█▊        | 17/91 [00:11<00:51,  1.43it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.917:  20%|█▉        | 18/91 [00:11<00:48,  1.52it/s]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.912:  20%|█▉        | 18/91 [00:12<00:49,  1.46it/s]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.912:  21%|██        | 19/91 [00:12<00:46,  1.54it/s]
Epoch 37, validation pixAcc: 0.978, mIoU: 0.909:  21%|██        | 19/91 [00:12<00:48,  1.49it/s]
Epoch 37, validation pixAcc: 0.978, mIoU: 0.909:  22%|██▏       | 20/91 [00:12<00:45,  1.56it/s]
Epoch 37, validation pixAcc: 0.978, mIoU: 0.909:  22%|██▏       | 20/91 [00:13<00:46,  1.52it/s]
Epoch 37, validation pixAcc: 0.978, mIoU: 0.909:  23%|██▎       | 21/91 [00:13<00:43,  1.59it/s]
Epoch 37, validation pixAcc: 0.978, mIoU: 0.908:  23%|██▎       | 21/91 [00:13<00:45,  1.54it/s]
Epoch 37, validation pixAcc: 0.978, mIoU: 0.908:  24%|██▍       | 22/91 [00:13<00:42,  1.61it/s]
Epoch 37, validation pixAcc: 0.978, mIoU: 0.909:  24%|██▍       | 22/91 [00:14<00:44,  1.56it/s]
Epoch 37, validation pixAcc: 0.978, mIoU: 0.909:  25%|██▌       | 23/91 [00:14<00:41,  1.63it/s]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.911:  25%|██▌       | 23/91 [00:14<00:42,  1.58it/s]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.911:  26%|██▋       | 24/91 [00:14<00:40,  1.65it/s]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.910:  26%|██▋       | 24/91 [00:14<00:41,  1.60it/s]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.910:  27%|██▋       | 25/91 [00:14<00:39,  1.67it/s]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.911:  27%|██▋       | 25/91 [00:15<00:40,  1.62it/s]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.911:  29%|██▊       | 26/91 [00:15<00:38,  1.68it/s]
Epoch 37, validation pixAcc: 0.978, mIoU: 0.911:  29%|██▊       | 26/91 [00:15<00:39,  1.64it/s]
Epoch 37, validation pixAcc: 0.978, mIoU: 0.911:  30%|██▉       | 27/91 [00:15<00:37,  1.70it/s]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.914:  30%|██▉       | 27/91 [00:16<00:38,  1.66it/s]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.914:  31%|███       | 28/91 [00:16<00:36,  1.72it/s]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.915:  31%|███       | 28/91 [00:16<00:37,  1.67it/s]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.915:  32%|███▏      | 29/91 [00:16<00:35,  1.73it/s]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.916:  32%|███▏      | 29/91 [00:17<00:36,  1.69it/s]
Epoch 37, validation pixAcc: 0.979, mIoU: 0.916:  33%|███▎      | 30/91 [00:17<00:34,  1.75it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.917:  33%|███▎      | 30/91 [00:17<00:35,  1.70it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.917:  34%|███▍      | 31/91 [00:17<00:34,  1.76it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.918:  34%|███▍      | 31/91 [00:18<00:35,  1.71it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.918:  35%|███▌      | 32/91 [00:18<00:33,  1.77it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.920:  35%|███▌      | 32/91 [00:18<00:34,  1.72it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.920:  36%|███▋      | 33/91 [00:18<00:32,  1.78it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.920:  36%|███▋      | 33/91 [00:18<00:33,  1.74it/s]
Epoch 37, validation pixAcc: 0.980, mIoU: 0.920:  37%|███▋      | 34/91 [00:18<00:31,  1.79it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.921:  37%|███▋      | 34/91 [00:19<00:32,  1.76it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.921:  38%|███▊      | 35/91 [00:19<00:30,  1.81it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.920:  38%|███▊      | 35/91 [00:19<00:31,  1.77it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.920:  40%|███▉      | 36/91 [00:19<00:30,  1.82it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.920:  40%|███▉      | 36/91 [00:20<00:30,  1.79it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.920:  41%|████      | 37/91 [00:20<00:29,  1.84it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.921:  41%|████      | 37/91 [00:20<00:30,  1.80it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.921:  42%|████▏     | 38/91 [00:20<00:28,  1.85it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.920:  42%|████▏     | 38/91 [00:20<00:29,  1.81it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.920:  43%|████▎     | 39/91 [00:20<00:27,  1.86it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.921:  43%|████▎     | 39/91 [00:21<00:28,  1.82it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.921:  44%|████▍     | 40/91 [00:21<00:27,  1.87it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.921:  44%|████▍     | 40/91 [00:21<00:27,  1.83it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.921:  45%|████▌     | 41/91 [00:21<00:26,  1.88it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.922:  45%|████▌     | 41/91 [00:22<00:27,  1.84it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.922:  46%|████▌     | 42/91 [00:22<00:26,  1.88it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.922:  46%|████▌     | 42/91 [00:22<00:26,  1.85it/s]
Epoch 37, validation pixAcc: 0.981, mIoU: 0.922:  47%|████▋     | 43/91 [00:22<00:25,  1.89it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  47%|████▋     | 43/91 [00:23<00:25,  1.86it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  48%|████▊     | 44/91 [00:23<00:24,  1.90it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  48%|████▊     | 44/91 [00:23<00:25,  1.87it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  49%|████▉     | 45/91 [00:23<00:24,  1.91it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  49%|████▉     | 45/91 [00:24<00:24,  1.87it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  51%|█████     | 46/91 [00:24<00:23,  1.92it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  51%|█████     | 46/91 [00:24<00:23,  1.88it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  52%|█████▏    | 47/91 [00:24<00:22,  1.92it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  52%|█████▏    | 47/91 [00:24<00:23,  1.89it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  53%|█████▎    | 48/91 [00:24<00:22,  1.93it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/91 [00:25<00:22,  1.90it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/91 [00:25<00:21,  1.94it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/91 [00:25<00:22,  1.90it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.922:  55%|█████▍    | 50/91 [00:25<00:21,  1.94it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  55%|█████▍    | 50/91 [00:26<00:21,  1.91it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  56%|█████▌    | 51/91 [00:26<00:20,  1.95it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  56%|█████▌    | 51/91 [00:26<00:20,  1.92it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 52/91 [00:26<00:19,  1.96it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 52/91 [00:26<00:20,  1.93it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  58%|█████▊    | 53/91 [00:26<00:19,  1.96it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.922:  58%|█████▊    | 53/91 [00:27<00:19,  1.93it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.922:  59%|█████▉    | 54/91 [00:27<00:18,  1.97it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  59%|█████▉    | 54/91 [00:27<00:19,  1.94it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  60%|██████    | 55/91 [00:27<00:18,  1.97it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  60%|██████    | 55/91 [00:28<00:18,  1.94it/s]
Epoch 37, validation pixAcc: 0.982, mIoU: 0.923:  62%|██████▏   | 56/91 [00:28<00:17,  1.98it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.923:  62%|██████▏   | 56/91 [00:28<00:17,  1.95it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/91 [00:28<00:17,  1.99it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/91 [00:29<00:17,  1.96it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▎   | 58/91 [00:29<00:16,  1.99it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▎   | 58/91 [00:29<00:16,  1.97it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.923:  65%|██████▍   | 59/91 [00:29<00:15,  2.00it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.923:  65%|██████▍   | 59/91 [00:29<00:16,  1.97it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.923:  66%|██████▌   | 60/91 [00:29<00:15,  2.01it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.924:  66%|██████▌   | 60/91 [00:30<00:15,  1.98it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.924:  67%|██████▋   | 61/91 [00:30<00:14,  2.01it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.924:  67%|██████▋   | 61/91 [00:30<00:15,  1.99it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 62/91 [00:30<00:14,  2.02it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 62/91 [00:31<00:14,  1.99it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 63/91 [00:31<00:13,  2.02it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.925:  69%|██████▉   | 63/91 [00:31<00:14,  1.99it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 64/91 [00:31<00:13,  2.02it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 64/91 [00:32<00:13,  1.99it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████▏  | 65/91 [00:32<00:12,  2.03it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████▏  | 65/91 [00:32<00:13,  2.00it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.925:  73%|███████▎  | 66/91 [00:32<00:12,  2.03it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.925:  73%|███████▎  | 66/91 [00:32<00:12,  2.00it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▎  | 67/91 [00:32<00:11,  2.03it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▎  | 67/91 [00:33<00:11,  2.01it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.925:  75%|███████▍  | 68/91 [00:33<00:11,  2.04it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.925:  75%|███████▍  | 68/91 [00:33<00:11,  2.01it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 69/91 [00:33<00:10,  2.04it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.926:  76%|███████▌  | 69/91 [00:34<00:10,  2.02it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.926:  77%|███████▋  | 70/91 [00:34<00:10,  2.04it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.926:  77%|███████▋  | 70/91 [00:34<00:10,  2.02it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.926:  78%|███████▊  | 71/91 [00:34<00:09,  2.05it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.926:  78%|███████▊  | 71/91 [00:35<00:09,  2.02it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.926:  79%|███████▉  | 72/91 [00:35<00:09,  2.05it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.926:  79%|███████▉  | 72/91 [00:35<00:09,  2.02it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.926:  80%|████████  | 73/91 [00:35<00:08,  2.05it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.926:  80%|████████  | 73/91 [00:36<00:08,  2.03it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.926:  81%|████████▏ | 74/91 [00:36<00:08,  2.06it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.927:  81%|████████▏ | 74/91 [00:36<00:08,  2.03it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.927:  82%|████████▏ | 75/91 [00:36<00:07,  2.06it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.927:  82%|████████▏ | 75/91 [00:36<00:07,  2.03it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.927:  84%|████████▎ | 76/91 [00:36<00:07,  2.06it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.927:  84%|████████▎ | 76/91 [00:37<00:07,  2.04it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.927:  85%|████████▍ | 77/91 [00:37<00:06,  2.06it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.927:  85%|████████▍ | 77/91 [00:37<00:06,  2.04it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.927:  86%|████████▌ | 78/91 [00:37<00:06,  2.07it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.927:  86%|████████▌ | 78/91 [00:38<00:06,  2.05it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.927:  87%|████████▋ | 79/91 [00:38<00:05,  2.07it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.927:  87%|████████▋ | 79/91 [00:38<00:05,  2.05it/s]
Epoch 37, validation pixAcc: 0.983, mIoU: 0.927:  88%|████████▊ | 80/91 [00:38<00:05,  2.08it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  88%|████████▊ | 80/91 [00:38<00:05,  2.05it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  89%|████████▉ | 81/91 [00:38<00:04,  2.08it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  89%|████████▉ | 81/91 [00:39<00:04,  2.06it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  90%|█████████ | 82/91 [00:39<00:04,  2.08it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  90%|█████████ | 82/91 [00:39<00:04,  2.06it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  91%|█████████ | 83/91 [00:39<00:03,  2.09it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  91%|█████████ | 83/91 [00:40<00:03,  2.07it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  92%|█████████▏| 84/91 [00:40<00:03,  2.09it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  92%|█████████▏| 84/91 [00:40<00:03,  2.07it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 85/91 [00:40<00:02,  2.10it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.929:  93%|█████████▎| 85/91 [00:40<00:02,  2.08it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.929:  95%|█████████▍| 86/91 [00:40<00:02,  2.10it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  95%|█████████▍| 86/91 [00:41<00:02,  2.08it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 87/91 [00:41<00:01,  2.11it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 87/91 [00:41<00:01,  2.09it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 88/91 [00:41<00:01,  2.11it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 88/91 [00:42<00:01,  2.09it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 89/91 [00:42<00:00,  2.11it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 89/91 [00:42<00:00,  2.09it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  99%|█████████▉| 90/91 [00:42<00:00,  2.11it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928:  99%|█████████▉| 90/91 [00:43<00:00,  2.09it/s]
Epoch 37, validation pixAcc: 0.984, mIoU: 0.928: 100%|██████████| 91/91 [00:43<00:00,  2.12it/s]

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Epoch 38, training loss 0.046:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 38, training loss 0.046:   1%|          | 1/182 [00:05<16:15,  5.39s/it]
Epoch 38, training loss 0.058:   1%|          | 1/182 [00:06<18:51,  6.25s/it]
Epoch 38, training loss 0.058:   1%|          | 2/182 [00:06<10:06,  3.37s/it]
Epoch 38, training loss 0.246:   1%|          | 2/182 [00:07<11:12,  3.74s/it]
Epoch 38, training loss 0.246:   2%|▏         | 3/182 [00:08<07:58,  2.67s/it]
Epoch 38, training loss 0.212:   2%|▏         | 3/182 [00:08<08:39,  2.90s/it]
Epoch 38, training loss 0.212:   2%|▏         | 4/182 [00:09<06:51,  2.31s/it]
Epoch 38, training loss 0.186:   2%|▏         | 4/182 [00:09<07:22,  2.48s/it]
Epoch 38, training loss 0.186:   3%|▎         | 5/182 [00:10<06:09,  2.09s/it]
Epoch 38, training loss 0.194:   3%|▎         | 5/182 [00:11<06:33,  2.22s/it]
Epoch 38, training loss 0.194:   3%|▎         | 6/182 [00:11<05:40,  1.94s/it]
Epoch 38, training loss 0.182:   3%|▎         | 6/182 [00:12<06:01,  2.05s/it]
Epoch 38, training loss 0.182:   4%|▍         | 7/182 [00:12<05:21,  1.83s/it]
Epoch 38, training loss 0.166:   4%|▍         | 7/182 [00:13<05:38,  1.93s/it]
Epoch 38, training loss 0.166:   4%|▍         | 8/182 [00:14<05:05,  1.76s/it]
Epoch 38, training loss 0.179:   4%|▍         | 8/182 [00:14<05:20,  1.84s/it]
Epoch 38, training loss 0.179:   5%|▍         | 9/182 [00:15<04:53,  1.70s/it]
Epoch 38, training loss 0.168:   5%|▍         | 9/182 [00:15<05:06,  1.77s/it]
Epoch 38, training loss 0.168:   5%|▌         | 10/182 [00:16<04:42,  1.64s/it]
Epoch 38, training loss 0.160:   5%|▌         | 10/182 [00:17<04:55,  1.72s/it]
Epoch 38, training loss 0.160:   6%|▌         | 11/182 [00:17<04:34,  1.60s/it]
Epoch 38, training loss 0.152:   6%|▌         | 11/182 [00:18<04:45,  1.67s/it]
Epoch 38, training loss 0.152:   7%|▋         | 12/182 [00:18<04:27,  1.57s/it]
Epoch 38, training loss 0.155:   7%|▋         | 12/182 [00:19<04:36,  1.63s/it]
Epoch 38, training loss 0.155:   7%|▋         | 13/182 [00:20<04:20,  1.54s/it]
Epoch 38, training loss 0.148:   7%|▋         | 13/182 [00:20<04:29,  1.60s/it]
Epoch 38, training loss 0.148:   8%|▊         | 14/182 [00:21<04:14,  1.52s/it]
Epoch 38, training loss 0.141:   8%|▊         | 14/182 [00:21<04:23,  1.57s/it]
Epoch 38, training loss 0.141:   8%|▊         | 15/182 [00:22<04:10,  1.50s/it]
Epoch 38, training loss 0.138:   8%|▊         | 15/182 [00:23<04:18,  1.55s/it]
Epoch 38, training loss 0.138:   9%|▉         | 16/182 [00:23<04:06,  1.48s/it]
Epoch 38, training loss 0.132:   9%|▉         | 16/182 [00:24<04:14,  1.53s/it]
Epoch 38, training loss 0.132:   9%|▉         | 17/182 [00:24<04:02,  1.47s/it]
Epoch 38, training loss 0.126:   9%|▉         | 17/182 [00:25<04:10,  1.52s/it]
Epoch 38, training loss 0.126:  10%|▉         | 18/182 [00:26<03:59,  1.46s/it]
Epoch 38, training loss 0.124:  10%|▉         | 18/182 [00:26<04:05,  1.50s/it]
Epoch 38, training loss 0.124:  10%|█         | 19/182 [00:27<03:55,  1.44s/it]
Epoch 38, training loss 0.121:  10%|█         | 19/182 [00:28<04:00,  1.48s/it]
Epoch 38, training loss 0.121:  11%|█         | 20/182 [00:28<03:51,  1.43s/it]
Epoch 38, training loss 0.118:  11%|█         | 20/182 [00:29<03:57,  1.47s/it]
Epoch 38, training loss 0.118:  12%|█▏        | 21/182 [00:29<03:48,  1.42s/it]
Epoch 38, training loss 0.116:  12%|█▏        | 21/182 [00:30<03:53,  1.45s/it]
Epoch 38, training loss 0.116:  12%|█▏        | 22/182 [00:30<03:45,  1.41s/it]
Epoch 38, training loss 0.116:  12%|█▏        | 22/182 [00:31<03:49,  1.43s/it]
Epoch 38, training loss 0.116:  13%|█▎        | 23/182 [00:32<03:41,  1.39s/it]
Epoch 38, training loss 0.116:  13%|█▎        | 23/182 [00:32<03:45,  1.42s/it]
Epoch 38, training loss 0.116:  13%|█▎        | 24/182 [00:33<03:38,  1.38s/it]
Epoch 38, training loss 0.116:  13%|█▎        | 24/182 [00:33<03:42,  1.41s/it]
Epoch 38, training loss 0.116:  14%|█▎        | 25/182 [00:34<03:35,  1.37s/it]
Epoch 38, training loss 0.116:  14%|█▎        | 25/182 [00:34<03:39,  1.40s/it]
Epoch 38, training loss 0.116:  14%|█▍        | 26/182 [00:35<03:32,  1.36s/it]
Epoch 38, training loss 0.114:  14%|█▍        | 26/182 [00:36<03:36,  1.39s/it]
Epoch 38, training loss 0.114:  15%|█▍        | 27/182 [00:36<03:29,  1.35s/it]
Epoch 38, training loss 0.116:  15%|█▍        | 27/182 [00:37<03:33,  1.38s/it]
Epoch 38, training loss 0.116:  15%|█▌        | 28/182 [00:37<03:27,  1.35s/it]
Epoch 38, training loss 0.115:  15%|█▌        | 28/182 [00:38<03:31,  1.37s/it]
Epoch 38, training loss 0.115:  16%|█▌        | 29/182 [00:38<03:25,  1.34s/it]
Epoch 38, training loss 0.114:  16%|█▌        | 29/182 [00:39<03:28,  1.36s/it]
Epoch 38, training loss 0.114:  16%|█▋        | 30/182 [00:40<03:22,  1.33s/it]
Epoch 38, training loss 0.113:  16%|█▋        | 30/182 [00:40<03:26,  1.36s/it]
Epoch 38, training loss 0.113:  17%|█▋        | 31/182 [00:41<03:20,  1.33s/it]
Epoch 38, training loss 0.111:  17%|█▋        | 31/182 [00:41<03:24,  1.35s/it]
Epoch 38, training loss 0.111:  18%|█▊        | 32/182 [00:42<03:19,  1.33s/it]
Epoch 38, training loss 0.110:  18%|█▊        | 32/182 [00:43<03:22,  1.35s/it]
Epoch 38, training loss 0.110:  18%|█▊        | 33/182 [00:43<03:17,  1.33s/it]
Epoch 38, training loss 0.112:  18%|█▊        | 33/182 [00:44<03:20,  1.35s/it]
Epoch 38, training loss 0.112:  19%|█▊        | 34/182 [00:44<03:15,  1.32s/it]
Epoch 38, training loss 0.110:  19%|█▊        | 34/182 [00:45<03:18,  1.34s/it]
Epoch 38, training loss 0.110:  19%|█▉        | 35/182 [00:46<03:13,  1.32s/it]
Epoch 38, training loss 0.112:  19%|█▉        | 35/182 [00:46<03:15,  1.33s/it]
Epoch 38, training loss 0.112:  20%|█▉        | 36/182 [00:47<03:11,  1.31s/it]
Epoch 38, training loss 0.110:  20%|█▉        | 36/182 [00:47<03:14,  1.33s/it]
Epoch 38, training loss 0.110:  20%|██        | 37/182 [00:48<03:09,  1.31s/it]
Epoch 38, training loss 0.111:  20%|██        | 37/182 [00:49<03:12,  1.32s/it]
Epoch 38, training loss 0.111:  21%|██        | 38/182 [00:49<03:07,  1.30s/it]
Epoch 38, training loss 0.109:  21%|██        | 38/182 [00:50<03:10,  1.32s/it]
Epoch 38, training loss 0.109:  21%|██▏       | 39/182 [00:50<03:05,  1.30s/it]
Epoch 38, training loss 0.108:  21%|██▏       | 39/182 [00:51<03:08,  1.32s/it]
Epoch 38, training loss 0.108:  22%|██▏       | 40/182 [00:51<03:04,  1.30s/it]
Epoch 38, training loss 0.108:  22%|██▏       | 40/182 [00:52<03:07,  1.32s/it]
Epoch 38, training loss 0.108:  23%|██▎       | 41/182 [00:53<03:03,  1.30s/it]
Epoch 38, training loss 0.116:  23%|██▎       | 41/182 [00:53<03:05,  1.32s/it]
Epoch 38, training loss 0.116:  23%|██▎       | 42/182 [00:54<03:01,  1.30s/it]
Epoch 38, training loss 0.114:  23%|██▎       | 42/182 [00:55<03:04,  1.32s/it]
Epoch 38, training loss 0.114:  24%|██▎       | 43/182 [00:55<03:00,  1.30s/it]
Epoch 38, training loss 0.114:  24%|██▎       | 43/182 [00:56<03:02,  1.31s/it]
Epoch 38, training loss 0.114:  24%|██▍       | 44/182 [00:56<02:58,  1.29s/it]
Epoch 38, training loss 0.114:  24%|██▍       | 44/182 [00:57<03:00,  1.31s/it]
Epoch 38, training loss 0.114:  25%|██▍       | 45/182 [00:58<02:56,  1.29s/it]
Epoch 38, training loss 0.117:  25%|██▍       | 45/182 [00:58<02:58,  1.31s/it]
Epoch 38, training loss 0.117:  25%|██▌       | 46/182 [00:59<02:55,  1.29s/it]
Epoch 38, training loss 0.118:  25%|██▌       | 46/182 [00:59<02:57,  1.30s/it]
Epoch 38, training loss 0.118:  26%|██▌       | 47/182 [01:00<02:53,  1.28s/it]
Epoch 38, training loss 0.119:  26%|██▌       | 47/182 [01:01<02:55,  1.30s/it]
Epoch 38, training loss 0.119:  26%|██▋       | 48/182 [01:01<02:51,  1.28s/it]
Epoch 38, training loss 0.119:  26%|██▋       | 48/182 [01:02<02:54,  1.30s/it]
Epoch 38, training loss 0.119:  27%|██▋       | 49/182 [01:02<02:50,  1.28s/it]
Epoch 38, training loss 0.118:  27%|██▋       | 49/182 [01:03<02:52,  1.30s/it]
Epoch 38, training loss 0.118:  27%|██▋       | 50/182 [01:04<02:49,  1.28s/it]
Epoch 38, training loss 0.119:  27%|██▋       | 50/182 [01:04<02:50,  1.29s/it]
Epoch 38, training loss 0.119:  28%|██▊       | 51/182 [01:05<02:47,  1.28s/it]
Epoch 38, training loss 0.118:  28%|██▊       | 51/182 [01:05<02:49,  1.29s/it]
Epoch 38, training loss 0.118:  29%|██▊       | 52/182 [01:06<02:45,  1.28s/it]
Epoch 38, training loss 0.117:  29%|██▊       | 52/182 [01:07<02:47,  1.29s/it]
Epoch 38, training loss 0.117:  29%|██▉       | 53/182 [01:07<02:44,  1.27s/it]
Epoch 38, training loss 0.117:  29%|██▉       | 53/182 [01:08<02:46,  1.29s/it]
Epoch 38, training loss 0.117:  30%|██▉       | 54/182 [01:08<02:42,  1.27s/it]
Epoch 38, training loss 0.116:  30%|██▉       | 54/182 [01:09<02:44,  1.29s/it]
Epoch 38, training loss 0.116:  30%|███       | 55/182 [01:09<02:41,  1.27s/it]
Epoch 38, training loss 0.115:  30%|███       | 55/182 [01:10<02:43,  1.29s/it]
Epoch 38, training loss 0.115:  31%|███       | 56/182 [01:11<02:40,  1.27s/it]
Epoch 38, training loss 0.114:  31%|███       | 56/182 [01:11<02:41,  1.28s/it]
Epoch 38, training loss 0.114:  31%|███▏      | 57/182 [01:12<02:38,  1.27s/it]
Epoch 38, training loss 0.113:  31%|███▏      | 57/182 [01:12<02:39,  1.28s/it]
Epoch 38, training loss 0.113:  32%|███▏      | 58/182 [01:13<02:37,  1.27s/it]
Epoch 38, training loss 0.112:  32%|███▏      | 58/182 [01:14<02:38,  1.28s/it]
Epoch 38, training loss 0.112:  32%|███▏      | 59/182 [01:14<02:35,  1.26s/it]
Epoch 38, training loss 0.113:  32%|███▏      | 59/182 [01:15<02:36,  1.28s/it]
Epoch 38, training loss 0.113:  33%|███▎      | 60/182 [01:15<02:33,  1.26s/it]
Epoch 38, training loss 0.117:  33%|███▎      | 60/182 [01:16<02:35,  1.27s/it]
Epoch 38, training loss 0.117:  34%|███▎      | 61/182 [01:16<02:32,  1.26s/it]
Epoch 38, training loss 0.117:  34%|███▎      | 61/182 [01:17<02:33,  1.27s/it]
Epoch 38, training loss 0.117:  34%|███▍      | 62/182 [01:18<02:31,  1.26s/it]
Epoch 38, training loss 0.117:  34%|███▍      | 62/182 [01:18<02:32,  1.27s/it]
Epoch 38, training loss 0.117:  35%|███▍      | 63/182 [01:19<02:29,  1.26s/it]
Epoch 38, training loss 0.116:  35%|███▍      | 63/182 [01:19<02:31,  1.27s/it]
Epoch 38, training loss 0.116:  35%|███▌      | 64/182 [01:20<02:28,  1.26s/it]
Epoch 38, training loss 0.115:  35%|███▌      | 64/182 [01:21<02:29,  1.27s/it]
Epoch 38, training loss 0.115:  36%|███▌      | 65/182 [01:21<02:26,  1.26s/it]
Epoch 38, training loss 0.114:  36%|███▌      | 65/182 [01:22<02:28,  1.27s/it]
Epoch 38, training loss 0.114:  36%|███▋      | 66/182 [01:22<02:25,  1.25s/it]
Epoch 38, training loss 0.113:  36%|███▋      | 66/182 [01:23<02:26,  1.27s/it]
Epoch 38, training loss 0.113:  37%|███▋      | 67/182 [01:23<02:24,  1.25s/it]
Epoch 38, training loss 0.114:  37%|███▋      | 67/182 [01:24<02:25,  1.26s/it]
Epoch 38, training loss 0.114:  37%|███▋      | 68/182 [01:25<02:22,  1.25s/it]
Epoch 38, training loss 0.113:  37%|███▋      | 68/182 [01:25<02:23,  1.26s/it]
Epoch 38, training loss 0.113:  38%|███▊      | 69/182 [01:26<02:21,  1.25s/it]
Epoch 38, training loss 0.113:  38%|███▊      | 69/182 [01:27<02:22,  1.26s/it]
Epoch 38, training loss 0.113:  38%|███▊      | 70/182 [01:27<02:20,  1.25s/it]
Epoch 38, training loss 0.112:  38%|███▊      | 70/182 [01:28<02:21,  1.26s/it]
Epoch 38, training loss 0.112:  39%|███▉      | 71/182 [01:28<02:18,  1.25s/it]
Epoch 38, training loss 0.113:  39%|███▉      | 71/182 [01:29<02:19,  1.26s/it]
Epoch 38, training loss 0.113:  40%|███▉      | 72/182 [01:29<02:17,  1.25s/it]
Epoch 38, training loss 0.113:  40%|███▉      | 72/182 [01:30<02:18,  1.26s/it]
Epoch 38, training loss 0.113:  40%|████      | 73/182 [01:31<02:16,  1.25s/it]
Epoch 38, training loss 0.112:  40%|████      | 73/182 [01:31<02:17,  1.26s/it]
Epoch 38, training loss 0.112:  41%|████      | 74/182 [01:32<02:14,  1.25s/it]
Epoch 38, training loss 0.111:  41%|████      | 74/182 [01:33<02:15,  1.26s/it]
Epoch 38, training loss 0.111:  41%|████      | 75/182 [01:33<02:13,  1.25s/it]
Epoch 38, training loss 0.110:  41%|████      | 75/182 [01:34<02:14,  1.26s/it]
Epoch 38, training loss 0.110:  42%|████▏     | 76/182 [01:34<02:12,  1.25s/it]
Epoch 38, training loss 0.108:  42%|████▏     | 76/182 [01:35<02:13,  1.26s/it]
Epoch 38, training loss 0.108:  42%|████▏     | 77/182 [01:36<02:10,  1.25s/it]
Epoch 38, training loss 0.108:  42%|████▏     | 77/182 [01:36<02:11,  1.26s/it]
Epoch 38, training loss 0.108:  43%|████▎     | 78/182 [01:37<02:09,  1.25s/it]
Epoch 38, training loss 0.108:  43%|████▎     | 78/182 [01:37<02:10,  1.25s/it]
Epoch 38, training loss 0.108:  43%|████▎     | 79/182 [01:38<02:08,  1.24s/it]
Epoch 38, training loss 0.109:  43%|████▎     | 79/182 [01:38<02:08,  1.25s/it]
Epoch 38, training loss 0.109:  44%|████▍     | 80/182 [01:39<02:06,  1.24s/it]
Epoch 38, training loss 0.109:  44%|████▍     | 80/182 [01:40<02:07,  1.25s/it]
Epoch 38, training loss 0.109:  45%|████▍     | 81/182 [01:40<02:05,  1.24s/it]
Epoch 38, training loss 0.109:  45%|████▍     | 81/182 [01:41<02:06,  1.25s/it]
Epoch 38, training loss 0.109:  45%|████▌     | 82/182 [01:41<02:04,  1.24s/it]
Epoch 38, training loss 0.108:  45%|████▌     | 82/182 [01:42<02:05,  1.25s/it]
Epoch 38, training loss 0.108:  46%|████▌     | 83/182 [01:43<02:02,  1.24s/it]
Epoch 38, training loss 0.108:  46%|████▌     | 83/182 [01:43<02:03,  1.25s/it]
Epoch 38, training loss 0.108:  46%|████▌     | 84/182 [01:44<02:01,  1.24s/it]
Epoch 38, training loss 0.108:  46%|████▌     | 84/182 [01:44<02:02,  1.25s/it]
Epoch 38, training loss 0.108:  47%|████▋     | 85/182 [01:45<02:00,  1.24s/it]
Epoch 38, training loss 0.108:  47%|████▋     | 85/182 [01:46<02:01,  1.25s/it]
Epoch 38, training loss 0.108:  47%|████▋     | 86/182 [01:46<01:59,  1.24s/it]
Epoch 38, training loss 0.108:  47%|████▋     | 86/182 [01:47<01:59,  1.25s/it]
Epoch 38, training loss 0.108:  48%|████▊     | 87/182 [01:47<01:57,  1.24s/it]
Epoch 38, training loss 0.107:  48%|████▊     | 87/182 [01:48<01:58,  1.25s/it]
Epoch 38, training loss 0.107:  48%|████▊     | 88/182 [01:49<01:56,  1.24s/it]
Epoch 38, training loss 0.107:  48%|████▊     | 88/182 [01:49<01:57,  1.25s/it]
Epoch 38, training loss 0.107:  49%|████▉     | 89/182 [01:50<01:55,  1.24s/it]
Epoch 38, training loss 0.106:  49%|████▉     | 89/182 [01:50<01:55,  1.25s/it]
Epoch 38, training loss 0.106:  49%|████▉     | 90/182 [01:51<01:53,  1.24s/it]
Epoch 38, training loss 0.105:  49%|████▉     | 90/182 [01:52<01:54,  1.25s/it]
Epoch 38, training loss 0.105:  50%|█████     | 91/182 [01:52<01:52,  1.24s/it]
Epoch 38, training loss 0.106:  50%|█████     | 91/182 [01:53<01:53,  1.25s/it]
Epoch 38, training loss 0.106:  51%|█████     | 92/182 [01:53<01:51,  1.24s/it]
Epoch 38, training loss 0.105:  51%|█████     | 92/182 [01:54<01:52,  1.25s/it]
Epoch 38, training loss 0.105:  51%|█████     | 93/182 [01:55<01:50,  1.24s/it]
Epoch 38, training loss 0.104:  51%|█████     | 93/182 [01:55<01:50,  1.24s/it]
Epoch 38, training loss 0.104:  52%|█████▏    | 94/182 [01:56<01:48,  1.24s/it]
Epoch 38, training loss 0.104:  52%|█████▏    | 94/182 [01:56<01:49,  1.24s/it]
Epoch 38, training loss 0.104:  52%|█████▏    | 95/182 [01:57<01:47,  1.24s/it]
Epoch 38, training loss 0.107:  52%|█████▏    | 95/182 [01:58<01:48,  1.24s/it]
Epoch 38, training loss 0.107:  53%|█████▎    | 96/182 [01:58<01:46,  1.23s/it]
Epoch 38, training loss 0.107:  53%|█████▎    | 96/182 [01:59<01:46,  1.24s/it]
Epoch 38, training loss 0.107:  53%|█████▎    | 97/182 [01:59<01:44,  1.23s/it]
Epoch 38, training loss 0.107:  53%|█████▎    | 97/182 [02:00<01:45,  1.24s/it]
Epoch 38, training loss 0.107:  54%|█████▍    | 98/182 [02:00<01:43,  1.23s/it]
Epoch 38, training loss 0.108:  54%|█████▍    | 98/182 [02:01<01:44,  1.24s/it]
Epoch 38, training loss 0.108:  54%|█████▍    | 99/182 [02:01<01:42,  1.23s/it]
Epoch 38, training loss 0.108:  54%|█████▍    | 99/182 [02:02<01:42,  1.24s/it]
Epoch 38, training loss 0.108:  55%|█████▍    | 100/182 [02:03<01:40,  1.23s/it]
Epoch 38, training loss 0.108:  55%|█████▍    | 100/182 [02:03<01:41,  1.24s/it]
Epoch 38, training loss 0.108:  55%|█████▌    | 101/182 [02:04<01:39,  1.23s/it]
Epoch 38, training loss 0.108:  55%|█████▌    | 101/182 [02:05<01:40,  1.24s/it]
Epoch 38, training loss 0.108:  56%|█████▌    | 102/182 [02:05<01:38,  1.23s/it]
Epoch 38, training loss 0.107:  56%|█████▌    | 102/182 [02:06<01:39,  1.24s/it]
Epoch 38, training loss 0.107:  57%|█████▋    | 103/182 [02:06<01:37,  1.23s/it]
Epoch 38, training loss 0.107:  57%|█████▋    | 103/182 [02:07<01:37,  1.24s/it]
Epoch 38, training loss 0.107:  57%|█████▋    | 104/182 [02:07<01:35,  1.23s/it]
Epoch 38, training loss 0.106:  57%|█████▋    | 104/182 [02:08<01:36,  1.24s/it]
Epoch 38, training loss 0.106:  58%|█████▊    | 105/182 [02:09<01:34,  1.23s/it]
Epoch 38, training loss 0.106:  58%|█████▊    | 105/182 [02:09<01:35,  1.24s/it]
Epoch 38, training loss 0.106:  58%|█████▊    | 106/182 [02:10<01:33,  1.23s/it]
Epoch 38, training loss 0.110:  58%|█████▊    | 106/182 [02:11<01:34,  1.24s/it]
Epoch 38, training loss 0.110:  59%|█████▉    | 107/182 [02:11<01:32,  1.23s/it]
Epoch 38, training loss 0.110:  59%|█████▉    | 107/182 [02:12<01:32,  1.24s/it]
Epoch 38, training loss 0.110:  59%|█████▉    | 108/182 [02:12<01:30,  1.23s/it]
Epoch 38, training loss 0.110:  59%|█████▉    | 108/182 [02:13<01:31,  1.24s/it]
Epoch 38, training loss 0.110:  60%|█████▉    | 109/182 [02:13<01:29,  1.23s/it]
Epoch 38, training loss 0.109:  60%|█████▉    | 109/182 [02:14<01:30,  1.24s/it]
Epoch 38, training loss 0.109:  60%|██████    | 110/182 [02:15<01:28,  1.23s/it]
Epoch 38, training loss 0.110:  60%|██████    | 110/182 [02:15<01:28,  1.23s/it]
Epoch 38, training loss 0.110:  61%|██████    | 111/182 [02:16<01:27,  1.23s/it]
Epoch 38, training loss 0.110:  61%|██████    | 111/182 [02:16<01:27,  1.23s/it]
Epoch 38, training loss 0.110:  62%|██████▏   | 112/182 [02:17<01:25,  1.23s/it]
Epoch 38, training loss 0.110:  62%|██████▏   | 112/182 [02:18<01:26,  1.23s/it]
Epoch 38, training loss 0.110:  62%|██████▏   | 113/182 [02:18<01:24,  1.23s/it]
Epoch 38, training loss 0.110:  62%|██████▏   | 113/182 [02:19<01:24,  1.23s/it]
Epoch 38, training loss 0.110:  63%|██████▎   | 114/182 [02:19<01:23,  1.23s/it]
Epoch 38, training loss 0.110:  63%|██████▎   | 114/182 [02:20<01:23,  1.23s/it]
Epoch 38, training loss 0.110:  63%|██████▎   | 115/182 [02:20<01:22,  1.22s/it]
Epoch 38, training loss 0.110:  63%|██████▎   | 115/182 [02:21<01:22,  1.23s/it]
Epoch 38, training loss 0.110:  64%|██████▎   | 116/182 [02:22<01:20,  1.22s/it]
Epoch 38, training loss 0.109:  64%|██████▎   | 116/182 [02:22<01:21,  1.23s/it]
Epoch 38, training loss 0.109:  64%|██████▍   | 117/182 [02:23<01:19,  1.22s/it]
Epoch 38, training loss 0.108:  64%|██████▍   | 117/182 [02:23<01:19,  1.23s/it]
Epoch 38, training loss 0.108:  65%|██████▍   | 118/182 [02:24<01:18,  1.22s/it]
Epoch 38, training loss 0.108:  65%|██████▍   | 118/182 [02:25<01:18,  1.23s/it]
Epoch 38, training loss 0.108:  65%|██████▌   | 119/182 [02:25<01:17,  1.22s/it]
Epoch 38, training loss 0.108:  65%|██████▌   | 119/182 [02:26<01:17,  1.23s/it]
Epoch 38, training loss 0.108:  66%|██████▌   | 120/182 [02:26<01:15,  1.22s/it]
Epoch 38, training loss 0.108:  66%|██████▌   | 120/182 [02:27<01:16,  1.23s/it]
Epoch 38, training loss 0.108:  66%|██████▋   | 121/182 [02:27<01:14,  1.22s/it]
Epoch 38, training loss 0.107:  66%|██████▋   | 121/182 [02:28<01:14,  1.23s/it]
Epoch 38, training loss 0.107:  67%|██████▋   | 122/182 [02:29<01:13,  1.22s/it]
Epoch 38, training loss 0.107:  67%|██████▋   | 122/182 [02:29<01:13,  1.23s/it]
Epoch 38, training loss 0.107:  68%|██████▊   | 123/182 [02:30<01:12,  1.22s/it]
Epoch 38, training loss 0.107:  68%|██████▊   | 123/182 [02:30<01:12,  1.23s/it]
Epoch 38, training loss 0.107:  68%|██████▊   | 124/182 [02:31<01:10,  1.22s/it]
Epoch 38, training loss 0.107:  68%|██████▊   | 124/182 [02:32<01:11,  1.23s/it]
Epoch 38, training loss 0.107:  69%|██████▊   | 125/182 [02:32<01:09,  1.22s/it]
Epoch 38, training loss 0.107:  69%|██████▊   | 125/182 [02:33<01:09,  1.23s/it]
Epoch 38, training loss 0.107:  69%|██████▉   | 126/182 [02:33<01:08,  1.22s/it]
Epoch 38, training loss 0.120:  69%|██████▉   | 126/182 [02:34<01:08,  1.23s/it]
Epoch 38, training loss 0.120:  70%|██████▉   | 127/182 [02:34<01:07,  1.22s/it]
Epoch 38, training loss 0.121:  70%|██████▉   | 127/182 [02:35<01:07,  1.22s/it]
Epoch 38, training loss 0.121:  70%|███████   | 128/182 [02:36<01:05,  1.22s/it]
Epoch 38, training loss 0.121:  70%|███████   | 128/182 [02:36<01:06,  1.22s/it]
Epoch 38, training loss 0.121:  71%|███████   | 129/182 [02:37<01:04,  1.22s/it]
Epoch 38, training loss 0.121:  71%|███████   | 129/182 [02:37<01:04,  1.22s/it]
Epoch 38, training loss 0.121:  71%|███████▏  | 130/182 [02:38<01:03,  1.22s/it]
Epoch 38, training loss 0.120:  71%|███████▏  | 130/182 [02:39<01:03,  1.22s/it]
Epoch 38, training loss 0.120:  72%|███████▏  | 131/182 [02:39<01:02,  1.22s/it]
Epoch 38, training loss 0.126:  72%|███████▏  | 131/182 [02:40<01:02,  1.22s/it]
Epoch 38, training loss 0.126:  73%|███████▎  | 132/182 [02:40<01:00,  1.22s/it]
Epoch 38, training loss 0.125:  73%|███████▎  | 132/182 [02:41<01:01,  1.22s/it]
Epoch 38, training loss 0.125:  73%|███████▎  | 133/182 [02:41<00:59,  1.22s/it]
Epoch 38, training loss 0.124:  73%|███████▎  | 133/182 [02:42<00:59,  1.22s/it]
Epoch 38, training loss 0.124:  74%|███████▎  | 134/182 [02:43<00:58,  1.22s/it]
Epoch 38, training loss 0.124:  74%|███████▎  | 134/182 [02:43<00:58,  1.22s/it]
Epoch 38, training loss 0.124:  74%|███████▍  | 135/182 [02:44<00:57,  1.22s/it]
Epoch 38, training loss 0.124:  74%|███████▍  | 135/182 [02:45<00:57,  1.22s/it]
Epoch 38, training loss 0.124:  75%|███████▍  | 136/182 [02:45<00:55,  1.22s/it]
Epoch 38, training loss 0.124:  75%|███████▍  | 136/182 [02:46<00:56,  1.22s/it]
Epoch 38, training loss 0.124:  75%|███████▌  | 137/182 [02:46<00:54,  1.22s/it]
Epoch 38, training loss 0.127:  75%|███████▌  | 137/182 [02:47<00:54,  1.22s/it]
Epoch 38, training loss 0.127:  76%|███████▌  | 138/182 [02:47<00:53,  1.22s/it]
Epoch 38, training loss 0.127:  76%|███████▌  | 138/182 [02:48<00:53,  1.22s/it]
Epoch 38, training loss 0.127:  76%|███████▋  | 139/182 [02:49<00:52,  1.22s/it]
Epoch 38, training loss 0.127:  76%|███████▋  | 139/182 [02:49<00:52,  1.22s/it]
Epoch 38, training loss 0.127:  77%|███████▋  | 140/182 [02:50<00:51,  1.22s/it]
Epoch 38, training loss 0.127:  77%|███████▋  | 140/182 [02:50<00:51,  1.22s/it]
Epoch 38, training loss 0.127:  77%|███████▋  | 141/182 [02:51<00:49,  1.22s/it]
Epoch 38, training loss 0.126:  77%|███████▋  | 141/182 [02:52<00:50,  1.22s/it]
Epoch 38, training loss 0.126:  78%|███████▊  | 142/182 [02:52<00:48,  1.22s/it]
Epoch 38, training loss 0.127:  78%|███████▊  | 142/182 [02:53<00:48,  1.22s/it]
Epoch 38, training loss 0.127:  79%|███████▊  | 143/182 [02:53<00:47,  1.21s/it]
Epoch 38, training loss 0.127:  79%|███████▊  | 143/182 [02:54<00:47,  1.22s/it]
Epoch 38, training loss 0.127:  79%|███████▉  | 144/182 [02:54<00:46,  1.21s/it]
Epoch 38, training loss 0.126:  79%|███████▉  | 144/182 [02:55<00:46,  1.22s/it]
Epoch 38, training loss 0.126:  80%|███████▉  | 145/182 [02:56<00:44,  1.21s/it]
Epoch 38, training loss 0.127:  80%|███████▉  | 145/182 [02:56<00:45,  1.22s/it]
Epoch 38, training loss 0.127:  80%|████████  | 146/182 [02:57<00:43,  1.21s/it]
Epoch 38, training loss 0.126:  80%|████████  | 146/182 [02:57<00:43,  1.22s/it]
Epoch 38, training loss 0.126:  81%|████████  | 147/182 [02:58<00:42,  1.21s/it]
Epoch 38, training loss 0.127:  81%|████████  | 147/182 [02:59<00:42,  1.22s/it]
Epoch 38, training loss 0.127:  81%|████████▏ | 148/182 [02:59<00:41,  1.21s/it]
Epoch 38, training loss 0.126:  81%|████████▏ | 148/182 [03:00<00:41,  1.22s/it]
Epoch 38, training loss 0.126:  82%|████████▏ | 149/182 [03:00<00:40,  1.21s/it]
Epoch 38, training loss 0.126:  82%|████████▏ | 149/182 [03:01<00:40,  1.22s/it]
Epoch 38, training loss 0.126:  82%|████████▏ | 150/182 [03:02<00:38,  1.21s/it]
Epoch 38, training loss 0.126:  82%|████████▏ | 150/182 [03:02<00:38,  1.22s/it]
Epoch 38, training loss 0.126:  83%|████████▎ | 151/182 [03:03<00:37,  1.21s/it]
Epoch 38, training loss 0.125:  83%|████████▎ | 151/182 [03:03<00:37,  1.22s/it]
Epoch 38, training loss 0.125:  84%|████████▎ | 152/182 [03:04<00:36,  1.21s/it]
Epoch 38, training loss 0.125:  84%|████████▎ | 152/182 [03:05<00:36,  1.22s/it]
Epoch 38, training loss 0.125:  84%|████████▍ | 153/182 [03:05<00:35,  1.21s/it]
Epoch 38, training loss 0.125:  84%|████████▍ | 153/182 [03:06<00:35,  1.22s/it]
Epoch 38, training loss 0.125:  85%|████████▍ | 154/182 [03:06<00:33,  1.21s/it]
Epoch 38, training loss 0.125:  85%|████████▍ | 154/182 [03:07<00:34,  1.22s/it]
Epoch 38, training loss 0.125:  85%|████████▌ | 155/182 [03:08<00:32,  1.21s/it]
Epoch 38, training loss 0.125:  85%|████████▌ | 155/182 [03:08<00:32,  1.22s/it]
Epoch 38, training loss 0.125:  86%|████████▌ | 156/182 [03:09<00:31,  1.21s/it]
Epoch 38, training loss 0.124:  86%|████████▌ | 156/182 [03:09<00:31,  1.22s/it]
Epoch 38, training loss 0.124:  86%|████████▋ | 157/182 [03:10<00:30,  1.21s/it]
Epoch 38, training loss 0.124:  86%|████████▋ | 157/182 [03:10<00:30,  1.22s/it]
Epoch 38, training loss 0.124:  87%|████████▋ | 158/182 [03:11<00:29,  1.21s/it]
Epoch 38, training loss 0.124:  87%|████████▋ | 158/182 [03:12<00:29,  1.22s/it]
Epoch 38, training loss 0.124:  87%|████████▋ | 159/182 [03:12<00:27,  1.21s/it]
Epoch 38, training loss 0.124:  87%|████████▋ | 159/182 [03:13<00:27,  1.22s/it]
Epoch 38, training loss 0.124:  88%|████████▊ | 160/182 [03:13<00:26,  1.21s/it]
Epoch 38, training loss 0.123:  88%|████████▊ | 160/182 [03:14<00:26,  1.21s/it]
Epoch 38, training loss 0.123:  88%|████████▊ | 161/182 [03:14<00:25,  1.21s/it]
Epoch 38, training loss 0.123:  88%|████████▊ | 161/182 [03:15<00:25,  1.21s/it]
Epoch 38, training loss 0.123:  89%|████████▉ | 162/182 [03:15<00:24,  1.21s/it]
Epoch 38, training loss 0.122:  89%|████████▉ | 162/182 [03:16<00:24,  1.21s/it]
Epoch 38, training loss 0.122:  90%|████████▉ | 163/182 [03:17<00:22,  1.21s/it]
Epoch 38, training loss 0.122:  90%|████████▉ | 163/182 [03:17<00:23,  1.21s/it]
Epoch 38, training loss 0.122:  90%|█████████ | 164/182 [03:18<00:21,  1.21s/it]
Epoch 38, training loss 0.123:  90%|█████████ | 164/182 [03:19<00:21,  1.21s/it]
Epoch 38, training loss 0.123:  91%|█████████ | 165/182 [03:19<00:20,  1.21s/it]
Epoch 38, training loss 0.124:  91%|█████████ | 165/182 [03:20<00:20,  1.21s/it]
Epoch 38, training loss 0.124:  91%|█████████ | 166/182 [03:20<00:19,  1.21s/it]
Epoch 38, training loss 0.123:  91%|█████████ | 166/182 [03:21<00:19,  1.21s/it]
Epoch 38, training loss 0.123:  92%|█████████▏| 167/182 [03:21<00:18,  1.21s/it]
Epoch 38, training loss 0.123:  92%|█████████▏| 167/182 [03:22<00:18,  1.21s/it]
Epoch 38, training loss 0.123:  92%|█████████▏| 168/182 [03:23<00:16,  1.21s/it]
Epoch 38, training loss 0.123:  92%|█████████▏| 168/182 [03:23<00:16,  1.21s/it]
Epoch 38, training loss 0.123:  93%|█████████▎| 169/182 [03:24<00:15,  1.21s/it]
Epoch 38, training loss 0.123:  93%|█████████▎| 169/182 [03:24<00:15,  1.21s/it]
Epoch 38, training loss 0.123:  93%|█████████▎| 170/182 [03:25<00:14,  1.21s/it]
Epoch 38, training loss 0.122:  93%|█████████▎| 170/182 [03:25<00:14,  1.21s/it]
Epoch 38, training loss 0.122:  94%|█████████▍| 171/182 [03:26<00:13,  1.21s/it]
Epoch 38, training loss 0.122:  94%|█████████▍| 171/182 [03:27<00:13,  1.21s/it]
Epoch 38, training loss 0.122:  95%|█████████▍| 172/182 [03:27<00:12,  1.21s/it]
Epoch 38, training loss 0.121:  95%|█████████▍| 172/182 [03:28<00:12,  1.21s/it]
Epoch 38, training loss 0.121:  95%|█████████▌| 173/182 [03:28<00:10,  1.21s/it]
Epoch 38, training loss 0.122:  95%|█████████▌| 173/182 [03:29<00:10,  1.21s/it]
Epoch 38, training loss 0.122:  96%|█████████▌| 174/182 [03:30<00:09,  1.21s/it]
Epoch 38, training loss 0.121:  96%|█████████▌| 174/182 [03:30<00:09,  1.21s/it]
Epoch 38, training loss 0.121:  96%|█████████▌| 175/182 [03:31<00:08,  1.21s/it]
Epoch 38, training loss 0.121:  96%|█████████▌| 175/182 [03:31<00:08,  1.21s/it]
Epoch 38, training loss 0.121:  97%|█████████▋| 176/182 [03:32<00:07,  1.21s/it]
Epoch 38, training loss 0.121:  97%|█████████▋| 176/182 [03:33<00:07,  1.21s/it]
Epoch 38, training loss 0.121:  97%|█████████▋| 177/182 [03:33<00:06,  1.21s/it]
Epoch 38, training loss 0.121:  97%|█████████▋| 177/182 [03:34<00:06,  1.21s/it]
Epoch 38, training loss 0.121:  98%|█████████▊| 178/182 [03:34<00:04,  1.21s/it]
Epoch 38, training loss 0.120:  98%|█████████▊| 178/182 [03:35<00:04,  1.21s/it]
Epoch 38, training loss 0.120:  98%|█████████▊| 179/182 [03:35<00:03,  1.21s/it]
Epoch 38, training loss 0.121:  98%|█████████▊| 179/182 [03:36<00:03,  1.21s/it]
Epoch 38, training loss 0.121:  99%|█████████▉| 180/182 [03:37<00:02,  1.21s/it]
Epoch 38, training loss 0.121:  99%|█████████▉| 180/182 [03:37<00:02,  1.21s/it]
Epoch 38, training loss 0.121:  99%|█████████▉| 181/182 [03:38<00:01,  1.21s/it]
Epoch 38, training loss 0.121:  99%|█████████▉| 181/182 [03:39<00:01,  1.21s/it]
Epoch 38, training loss 0.121: 100%|██████████| 182/182 [03:39<00:00,  1.21s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.544:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.544:   1%|          | 1/90 [00:04<06:44,  4.54s/it]
Epoch 38, validation pixAcc: 0.976, mIoU: 0.716:   1%|          | 1/90 [00:04<07:23,  4.98s/it]
Epoch 38, validation pixAcc: 0.976, mIoU: 0.716:   2%|▏         | 2/90 [00:04<03:39,  2.49s/it]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.793:   2%|▏         | 2/90 [00:05<03:57,  2.70s/it]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.793:   3%|▎         | 3/90 [00:05<02:36,  1.80s/it]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.801:   3%|▎         | 3/90 [00:05<02:49,  1.95s/it]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.801:   4%|▍         | 4/90 [00:05<02:05,  1.46s/it]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.905:   4%|▍         | 4/90 [00:06<02:14,  1.57s/it]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.905:   6%|▌         | 5/90 [00:06<01:46,  1.25s/it]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.904:   6%|▌         | 5/90 [00:06<01:54,  1.35s/it]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.904:   7%|▋         | 6/90 [00:06<01:34,  1.12s/it]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.899:   7%|▋         | 6/90 [00:07<01:40,  1.19s/it]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.899:   8%|▊         | 7/90 [00:07<01:25,  1.02s/it]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.898:   8%|▊         | 7/90 [00:07<01:30,  1.09s/it]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.898:   9%|▉         | 8/90 [00:07<01:17,  1.05it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.899:   9%|▉         | 8/90 [00:08<01:22,  1.01s/it]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.899:  10%|█         | 9/90 [00:08<01:12,  1.12it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.910:  10%|█         | 9/90 [00:08<01:16,  1.06it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.910:  11%|█         | 10/90 [00:08<01:08,  1.18it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.907:  11%|█         | 10/90 [00:08<01:11,  1.12it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.907:  12%|█▏        | 11/90 [00:08<01:04,  1.23it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.905:  12%|█▏        | 11/90 [00:09<01:07,  1.17it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.905:  13%|█▎        | 12/90 [00:09<01:01,  1.28it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.906:  13%|█▎        | 12/90 [00:09<01:03,  1.22it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.906:  14%|█▍        | 13/90 [00:09<00:58,  1.32it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.915:  14%|█▍        | 13/90 [00:10<01:00,  1.26it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.915:  16%|█▌        | 14/90 [00:10<00:55,  1.36it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.914:  16%|█▌        | 14/90 [00:10<00:58,  1.31it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.914:  17%|█▋        | 15/90 [00:10<00:53,  1.40it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.920:  17%|█▋        | 15/90 [00:11<00:55,  1.35it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.920:  18%|█▊        | 16/90 [00:11<00:51,  1.44it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.919:  18%|█▊        | 16/90 [00:11<00:53,  1.39it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.919:  19%|█▉        | 17/90 [00:11<00:49,  1.47it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.916:  19%|█▉        | 17/90 [00:11<00:51,  1.42it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.916:  20%|██        | 18/90 [00:11<00:47,  1.51it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.911:  20%|██        | 18/90 [00:12<00:49,  1.46it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.911:  21%|██        | 19/90 [00:12<00:46,  1.54it/s]
Epoch 38, validation pixAcc: 0.978, mIoU: 0.908:  21%|██        | 19/90 [00:12<00:47,  1.48it/s]
Epoch 38, validation pixAcc: 0.978, mIoU: 0.908:  22%|██▏       | 20/90 [00:12<00:44,  1.56it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.910:  22%|██▏       | 20/90 [00:13<00:46,  1.51it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.910:  23%|██▎       | 21/90 [00:13<00:43,  1.58it/s]
Epoch 38, validation pixAcc: 0.978, mIoU: 0.907:  23%|██▎       | 21/90 [00:13<00:44,  1.54it/s]
Epoch 38, validation pixAcc: 0.978, mIoU: 0.907:  24%|██▍       | 22/90 [00:13<00:42,  1.61it/s]
Epoch 38, validation pixAcc: 0.978, mIoU: 0.909:  24%|██▍       | 22/90 [00:14<00:43,  1.57it/s]
Epoch 38, validation pixAcc: 0.978, mIoU: 0.909:  26%|██▌       | 23/90 [00:14<00:40,  1.64it/s]
Epoch 38, validation pixAcc: 0.978, mIoU: 0.909:  26%|██▌       | 23/90 [00:14<00:42,  1.59it/s]
Epoch 38, validation pixAcc: 0.978, mIoU: 0.909:  27%|██▋       | 24/90 [00:14<00:39,  1.66it/s]
Epoch 38, validation pixAcc: 0.978, mIoU: 0.910:  27%|██▋       | 24/90 [00:14<00:40,  1.61it/s]
Epoch 38, validation pixAcc: 0.978, mIoU: 0.910:  28%|██▊       | 25/90 [00:14<00:38,  1.68it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.910:  28%|██▊       | 25/90 [00:15<00:39,  1.63it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.910:  29%|██▉       | 26/90 [00:15<00:37,  1.70it/s]
Epoch 38, validation pixAcc: 0.978, mIoU: 0.912:  29%|██▉       | 26/90 [00:15<00:38,  1.65it/s]
Epoch 38, validation pixAcc: 0.978, mIoU: 0.912:  30%|███       | 27/90 [00:15<00:36,  1.72it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.914:  30%|███       | 27/90 [00:16<00:37,  1.67it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.914:  31%|███       | 28/90 [00:16<00:35,  1.73it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.914:  31%|███       | 28/90 [00:16<00:36,  1.68it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.914:  32%|███▏      | 29/90 [00:16<00:35,  1.74it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.915:  32%|███▏      | 29/90 [00:17<00:35,  1.70it/s]
Epoch 38, validation pixAcc: 0.979, mIoU: 0.915:  33%|███▎      | 30/90 [00:17<00:34,  1.76it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.917:  33%|███▎      | 30/90 [00:17<00:35,  1.71it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.917:  34%|███▍      | 31/90 [00:17<00:33,  1.77it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.917:  34%|███▍      | 31/90 [00:17<00:34,  1.73it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.917:  36%|███▌      | 32/90 [00:17<00:32,  1.78it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.919:  36%|███▌      | 32/90 [00:18<00:33,  1.74it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.919:  37%|███▋      | 33/90 [00:18<00:31,  1.79it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.919:  37%|███▋      | 33/90 [00:18<00:32,  1.75it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.919:  38%|███▊      | 34/90 [00:18<00:31,  1.80it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.919:  38%|███▊      | 34/90 [00:19<00:31,  1.77it/s]
Epoch 38, validation pixAcc: 0.980, mIoU: 0.919:  39%|███▉      | 35/90 [00:19<00:30,  1.82it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.919:  39%|███▉      | 35/90 [00:19<00:30,  1.78it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.919:  40%|████      | 36/90 [00:19<00:29,  1.83it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.919:  40%|████      | 36/90 [00:20<00:30,  1.79it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.919:  41%|████      | 37/90 [00:20<00:28,  1.84it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.919:  41%|████      | 37/90 [00:20<00:29,  1.81it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.919:  42%|████▏     | 38/90 [00:20<00:27,  1.86it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.920:  42%|████▏     | 38/90 [00:20<00:28,  1.82it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.920:  43%|████▎     | 39/90 [00:20<00:27,  1.87it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.921:  43%|████▎     | 39/90 [00:21<00:27,  1.83it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.921:  44%|████▍     | 40/90 [00:21<00:26,  1.88it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.921:  44%|████▍     | 40/90 [00:21<00:27,  1.84it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.921:  46%|████▌     | 41/90 [00:21<00:26,  1.88it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.921:  46%|████▌     | 41/90 [00:22<00:26,  1.85it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.921:  47%|████▋     | 42/90 [00:22<00:25,  1.89it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.922:  47%|████▋     | 42/90 [00:22<00:25,  1.86it/s]
Epoch 38, validation pixAcc: 0.981, mIoU: 0.922:  48%|████▊     | 43/90 [00:22<00:24,  1.90it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.922:  48%|████▊     | 43/90 [00:22<00:25,  1.87it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 44/90 [00:22<00:24,  1.92it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 44/90 [00:23<00:24,  1.88it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.922:  50%|█████     | 45/90 [00:23<00:23,  1.92it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.922:  50%|█████     | 45/90 [00:23<00:23,  1.89it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/90 [00:23<00:22,  1.93it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.923:  51%|█████     | 46/90 [00:24<00:23,  1.90it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.923:  52%|█████▏    | 47/90 [00:24<00:22,  1.94it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.923:  52%|█████▏    | 47/90 [00:24<00:22,  1.91it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.923:  53%|█████▎    | 48/90 [00:24<00:21,  1.95it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/90 [00:25<00:21,  1.91it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/90 [00:25<00:20,  1.95it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/90 [00:25<00:21,  1.92it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.922:  56%|█████▌    | 50/90 [00:25<00:20,  1.96it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.923:  56%|█████▌    | 50/90 [00:25<00:20,  1.93it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 51/90 [00:25<00:19,  1.97it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 51/90 [00:26<00:20,  1.94it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.923:  58%|█████▊    | 52/90 [00:26<00:19,  1.98it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.923:  58%|█████▊    | 52/90 [00:26<00:19,  1.95it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.923:  59%|█████▉    | 53/90 [00:26<00:18,  1.98it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.922:  59%|█████▉    | 53/90 [00:27<00:18,  1.95it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.922:  60%|██████    | 54/90 [00:27<00:18,  1.99it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.922:  60%|██████    | 54/90 [00:27<00:18,  1.96it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.922:  61%|██████    | 55/90 [00:27<00:17,  1.99it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.923:  61%|██████    | 55/90 [00:28<00:17,  1.96it/s]
Epoch 38, validation pixAcc: 0.982, mIoU: 0.923:  62%|██████▏   | 56/90 [00:28<00:17,  2.00it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.923:  62%|██████▏   | 56/90 [00:28<00:17,  1.97it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/90 [00:28<00:16,  2.01it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/90 [00:28<00:16,  1.98it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▍   | 58/90 [00:28<00:15,  2.01it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▍   | 58/90 [00:29<00:16,  1.98it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.923:  66%|██████▌   | 59/90 [00:29<00:15,  2.01it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.923:  66%|██████▌   | 59/90 [00:29<00:15,  1.98it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.923:  67%|██████▋   | 60/90 [00:29<00:14,  2.02it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.923:  67%|██████▋   | 60/90 [00:30<00:15,  1.99it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.923:  68%|██████▊   | 61/90 [00:30<00:14,  2.02it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 61/90 [00:30<00:14,  1.99it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 62/90 [00:30<00:13,  2.03it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 62/90 [00:31<00:14,  2.00it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.924:  70%|███████   | 63/90 [00:31<00:13,  2.03it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 63/90 [00:31<00:13,  2.00it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████   | 64/90 [00:31<00:12,  2.03it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████   | 64/90 [00:31<00:12,  2.00it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.925:  72%|███████▏  | 65/90 [00:31<00:12,  2.04it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.925:  72%|███████▏  | 65/90 [00:32<00:12,  2.01it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.925:  73%|███████▎  | 66/90 [00:32<00:11,  2.04it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.925:  73%|███████▎  | 66/90 [00:32<00:11,  2.01it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▍  | 67/90 [00:32<00:11,  2.04it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▍  | 67/90 [00:33<00:11,  2.02it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 68/90 [00:33<00:10,  2.05it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 68/90 [00:33<00:10,  2.02it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.925:  77%|███████▋  | 69/90 [00:33<00:10,  2.05it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.926:  77%|███████▋  | 69/90 [00:34<00:10,  2.02it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.926:  78%|███████▊  | 70/90 [00:34<00:09,  2.05it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.926:  78%|███████▊  | 70/90 [00:34<00:09,  2.03it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.926:  79%|███████▉  | 71/90 [00:34<00:09,  2.06it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.926:  79%|███████▉  | 71/90 [00:34<00:09,  2.03it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.926:  80%|████████  | 72/90 [00:34<00:08,  2.06it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.926:  80%|████████  | 72/90 [00:35<00:08,  2.03it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.926:  81%|████████  | 73/90 [00:35<00:08,  2.06it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.926:  81%|████████  | 73/90 [00:35<00:08,  2.04it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.926:  82%|████████▏ | 74/90 [00:35<00:07,  2.07it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.926:  82%|████████▏ | 74/90 [00:36<00:07,  2.04it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.926:  83%|████████▎ | 75/90 [00:36<00:07,  2.07it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.927:  83%|████████▎ | 75/90 [00:36<00:07,  2.05it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.927:  84%|████████▍ | 76/90 [00:36<00:06,  2.07it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.927:  84%|████████▍ | 76/90 [00:37<00:06,  2.05it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.927:  86%|████████▌ | 77/90 [00:37<00:06,  2.08it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.927:  86%|████████▌ | 77/90 [00:37<00:06,  2.06it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.927:  87%|████████▋ | 78/90 [00:37<00:05,  2.08it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.927:  87%|████████▋ | 78/90 [00:37<00:05,  2.06it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.927:  88%|████████▊ | 79/90 [00:37<00:05,  2.09it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.927:  88%|████████▊ | 79/90 [00:38<00:05,  2.07it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.927:  89%|████████▉ | 80/90 [00:38<00:04,  2.09it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.927:  89%|████████▉ | 80/90 [00:38<00:04,  2.07it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.927:  90%|█████████ | 81/90 [00:38<00:04,  2.10it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928:  90%|█████████ | 81/90 [00:39<00:04,  2.07it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928:  91%|█████████ | 82/90 [00:39<00:03,  2.10it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.928:  91%|█████████ | 82/90 [00:39<00:03,  2.07it/s]
Epoch 38, validation pixAcc: 0.983, mIoU: 0.928:  92%|█████████▏| 83/90 [00:39<00:03,  2.10it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928:  92%|█████████▏| 83/90 [00:39<00:03,  2.08it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 84/90 [00:39<00:02,  2.10it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 84/90 [00:40<00:02,  2.08it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928:  94%|█████████▍| 85/90 [00:40<00:02,  2.10it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928:  94%|█████████▍| 85/90 [00:40<00:02,  2.08it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 86/90 [00:40<00:01,  2.11it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 86/90 [00:41<00:01,  2.09it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 87/90 [00:41<00:01,  2.11it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 87/90 [00:41<00:01,  2.09it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 88/90 [00:41<00:00,  2.11it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 88/90 [00:42<00:00,  2.09it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928:  99%|█████████▉| 89/90 [00:42<00:00,  2.12it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928:  99%|█████████▉| 89/90 [00:42<00:00,  2.09it/s]
Epoch 38, validation pixAcc: 0.984, mIoU: 0.928: 100%|██████████| 90/90 [00:42<00:00,  2.12it/s]

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Epoch 39, training loss 0.078:   0%|          | 0/182 [00:05<?, ?it/s]
Epoch 39, training loss 0.078:   1%|          | 1/182 [00:05<17:29,  5.80s/it]
Epoch 39, training loss 0.099:   1%|          | 1/182 [00:06<19:36,  6.50s/it]
Epoch 39, training loss 0.099:   1%|          | 2/182 [00:07<10:31,  3.51s/it]
Epoch 39, training loss 0.085:   1%|          | 2/182 [00:07<11:37,  3.87s/it]
Epoch 39, training loss 0.085:   2%|▏         | 3/182 [00:08<08:11,  2.75s/it]
Epoch 39, training loss 0.077:   2%|▏         | 3/182 [00:08<08:52,  2.97s/it]
Epoch 39, training loss 0.077:   2%|▏         | 4/182 [00:09<06:59,  2.36s/it]
Epoch 39, training loss 0.076:   2%|▏         | 4/182 [00:10<07:30,  2.53s/it]
Epoch 39, training loss 0.076:   3%|▎         | 5/182 [00:10<06:16,  2.13s/it]
Epoch 39, training loss 0.112:   3%|▎         | 5/182 [00:11<06:39,  2.26s/it]
Epoch 39, training loss 0.112:   3%|▎         | 6/182 [00:11<05:46,  1.97s/it]
Epoch 39, training loss 0.103:   3%|▎         | 6/182 [00:12<06:08,  2.10s/it]
Epoch 39, training loss 0.103:   4%|▍         | 7/182 [00:13<05:26,  1.87s/it]
Epoch 39, training loss 0.093:   4%|▍         | 7/182 [00:13<05:45,  1.97s/it]
Epoch 39, training loss 0.093:   4%|▍         | 8/182 [00:14<05:11,  1.79s/it]
Epoch 39, training loss 0.097:   4%|▍         | 8/182 [00:14<05:25,  1.87s/it]
Epoch 39, training loss 0.097:   5%|▍         | 9/182 [00:15<04:57,  1.72s/it]
Epoch 39, training loss 0.093:   5%|▍         | 9/182 [00:16<05:11,  1.80s/it]
Epoch 39, training loss 0.093:   5%|▌         | 10/182 [00:16<04:47,  1.67s/it]
Epoch 39, training loss 0.097:   5%|▌         | 10/182 [00:17<04:59,  1.74s/it]
Epoch 39, training loss 0.097:   6%|▌         | 11/182 [00:17<04:38,  1.63s/it]
Epoch 39, training loss 0.101:   6%|▌         | 11/182 [00:18<04:50,  1.70s/it]
Epoch 39, training loss 0.101:   7%|▋         | 12/182 [00:19<04:32,  1.60s/it]
Epoch 39, training loss 0.101:   7%|▋         | 12/182 [00:19<04:43,  1.67s/it]
Epoch 39, training loss 0.101:   7%|▋         | 13/182 [00:20<04:26,  1.57s/it]
Epoch 39, training loss 0.096:   7%|▋         | 13/182 [00:21<04:35,  1.63s/it]
Epoch 39, training loss 0.096:   8%|▊         | 14/182 [00:21<04:19,  1.55s/it]
Epoch 39, training loss 0.094:   8%|▊         | 14/182 [00:22<04:29,  1.60s/it]
Epoch 39, training loss 0.094:   8%|▊         | 15/182 [00:22<04:15,  1.53s/it]
Epoch 39, training loss 0.091:   8%|▊         | 15/182 [00:23<04:22,  1.57s/it]
Epoch 39, training loss 0.091:   9%|▉         | 16/182 [00:24<04:10,  1.51s/it]
Epoch 39, training loss 0.090:   9%|▉         | 16/182 [00:24<04:16,  1.55s/it]
Epoch 39, training loss 0.090:   9%|▉         | 17/182 [00:25<04:05,  1.49s/it]
Epoch 39, training loss 0.087:   9%|▉         | 17/182 [00:25<04:11,  1.52s/it]
Epoch 39, training loss 0.087:  10%|▉         | 18/182 [00:26<04:00,  1.47s/it]
Epoch 39, training loss 0.084:  10%|▉         | 18/182 [00:27<04:06,  1.50s/it]
Epoch 39, training loss 0.084:  10%|█         | 19/182 [00:27<03:56,  1.45s/it]
Epoch 39, training loss 0.092:  10%|█         | 19/182 [00:28<04:02,  1.49s/it]
Epoch 39, training loss 0.092:  11%|█         | 20/182 [00:28<03:53,  1.44s/it]
Epoch 39, training loss 0.090:  11%|█         | 20/182 [00:29<03:58,  1.47s/it]
Epoch 39, training loss 0.090:  12%|█▏        | 21/182 [00:29<03:49,  1.43s/it]
Epoch 39, training loss 0.087:  12%|█▏        | 21/182 [00:30<03:55,  1.46s/it]
Epoch 39, training loss 0.087:  12%|█▏        | 22/182 [00:31<03:46,  1.42s/it]
Epoch 39, training loss 0.087:  12%|█▏        | 22/182 [00:31<03:52,  1.45s/it]
Epoch 39, training loss 0.087:  13%|█▎        | 23/182 [00:32<03:44,  1.41s/it]
Epoch 39, training loss 0.098:  13%|█▎        | 23/182 [00:33<03:48,  1.44s/it]
Epoch 39, training loss 0.098:  13%|█▎        | 24/182 [00:33<03:40,  1.40s/it]
Epoch 39, training loss 0.095:  13%|█▎        | 24/182 [00:34<03:45,  1.42s/it]
Epoch 39, training loss 0.095:  14%|█▎        | 25/182 [00:34<03:37,  1.39s/it]
Epoch 39, training loss 0.094:  14%|█▎        | 25/182 [00:35<03:41,  1.41s/it]
Epoch 39, training loss 0.094:  14%|█▍        | 26/182 [00:35<03:34,  1.38s/it]
Epoch 39, training loss 0.100:  14%|█▍        | 26/182 [00:36<03:38,  1.40s/it]
Epoch 39, training loss 0.100:  15%|█▍        | 27/182 [00:36<03:31,  1.37s/it]
Epoch 39, training loss 0.098:  15%|█▍        | 27/182 [00:37<03:35,  1.39s/it]
Epoch 39, training loss 0.098:  15%|█▌        | 28/182 [00:38<03:29,  1.36s/it]
Epoch 39, training loss 0.101:  15%|█▌        | 28/182 [00:38<03:32,  1.38s/it]
Epoch 39, training loss 0.101:  16%|█▌        | 29/182 [00:39<03:26,  1.35s/it]
Epoch 39, training loss 0.102:  16%|█▌        | 29/182 [00:39<03:30,  1.38s/it]
Epoch 39, training loss 0.102:  16%|█▋        | 30/182 [00:40<03:24,  1.35s/it]
Epoch 39, training loss 0.102:  16%|█▋        | 30/182 [00:41<03:28,  1.37s/it]
Epoch 39, training loss 0.102:  17%|█▋        | 31/182 [00:41<03:22,  1.34s/it]
Epoch 39, training loss 0.102:  17%|█▋        | 31/182 [00:42<03:25,  1.36s/it]
Epoch 39, training loss 0.102:  18%|█▊        | 32/182 [00:42<03:20,  1.34s/it]
Epoch 39, training loss 0.102:  18%|█▊        | 32/182 [00:43<03:23,  1.36s/it]
Epoch 39, training loss 0.102:  18%|█▊        | 33/182 [00:43<03:18,  1.33s/it]
Epoch 39, training loss 0.107:  18%|█▊        | 33/182 [00:44<03:21,  1.35s/it]
Epoch 39, training loss 0.107:  19%|█▊        | 34/182 [00:45<03:16,  1.33s/it]
Epoch 39, training loss 0.106:  19%|█▊        | 34/182 [00:45<03:19,  1.35s/it]
Epoch 39, training loss 0.106:  19%|█▉        | 35/182 [00:46<03:14,  1.32s/it]
Epoch 39, training loss 0.105:  19%|█▉        | 35/182 [00:47<03:17,  1.34s/it]
Epoch 39, training loss 0.105:  20%|█▉        | 36/182 [00:47<03:12,  1.32s/it]
Epoch 39, training loss 0.103:  20%|█▉        | 36/182 [00:48<03:16,  1.34s/it]
Epoch 39, training loss 0.103:  20%|██        | 37/182 [00:48<03:11,  1.32s/it]
Epoch 39, training loss 0.102:  20%|██        | 37/182 [00:49<03:14,  1.34s/it]
Epoch 39, training loss 0.102:  21%|██        | 38/182 [00:50<03:09,  1.32s/it]
Epoch 39, training loss 0.105:  21%|██        | 38/182 [00:50<03:11,  1.33s/it]
Epoch 39, training loss 0.105:  21%|██▏       | 39/182 [00:51<03:07,  1.31s/it]
Epoch 39, training loss 0.104:  21%|██▏       | 39/182 [00:51<03:10,  1.33s/it]
Epoch 39, training loss 0.104:  22%|██▏       | 40/182 [00:52<03:05,  1.31s/it]
Epoch 39, training loss 0.103:  22%|██▏       | 40/182 [00:53<03:08,  1.33s/it]
Epoch 39, training loss 0.103:  23%|██▎       | 41/182 [00:53<03:04,  1.31s/it]
Epoch 39, training loss 0.102:  23%|██▎       | 41/182 [00:54<03:06,  1.32s/it]
Epoch 39, training loss 0.102:  23%|██▎       | 42/182 [00:54<03:02,  1.30s/it]
Epoch 39, training loss 0.100:  23%|██▎       | 42/182 [00:55<03:04,  1.32s/it]
Epoch 39, training loss 0.100:  24%|██▎       | 43/182 [00:55<03:00,  1.30s/it]
Epoch 39, training loss 0.100:  24%|██▎       | 43/182 [00:56<03:03,  1.32s/it]
Epoch 39, training loss 0.100:  24%|██▍       | 44/182 [00:57<02:59,  1.30s/it]
Epoch 39, training loss 0.099:  24%|██▍       | 44/182 [00:57<03:01,  1.31s/it]
Epoch 39, training loss 0.099:  25%|██▍       | 45/182 [00:58<02:57,  1.30s/it]
Epoch 39, training loss 0.098:  25%|██▍       | 45/182 [00:58<02:59,  1.31s/it]
Epoch 39, training loss 0.098:  25%|██▌       | 46/182 [00:59<02:55,  1.29s/it]
Epoch 39, training loss 0.101:  25%|██▌       | 46/182 [01:00<02:57,  1.31s/it]
Epoch 39, training loss 0.101:  26%|██▌       | 47/182 [01:00<02:54,  1.29s/it]
Epoch 39, training loss 0.100:  26%|██▌       | 47/182 [01:01<02:56,  1.31s/it]
Epoch 39, training loss 0.100:  26%|██▋       | 48/182 [01:01<02:52,  1.29s/it]
Epoch 39, training loss 0.100:  26%|██▋       | 48/182 [01:02<02:54,  1.30s/it]
Epoch 39, training loss 0.100:  27%|██▋       | 49/182 [01:03<02:51,  1.29s/it]
Epoch 39, training loss 0.099:  27%|██▋       | 49/182 [01:03<02:53,  1.30s/it]
Epoch 39, training loss 0.099:  27%|██▋       | 50/182 [01:04<02:49,  1.29s/it]
Epoch 39, training loss 0.098:  27%|██▋       | 50/182 [01:04<02:51,  1.30s/it]
Epoch 39, training loss 0.098:  28%|██▊       | 51/182 [01:05<02:47,  1.28s/it]
Epoch 39, training loss 0.098:  28%|██▊       | 51/182 [01:06<02:49,  1.30s/it]
Epoch 39, training loss 0.098:  29%|██▊       | 52/182 [01:06<02:46,  1.28s/it]
Epoch 39, training loss 0.099:  29%|██▊       | 52/182 [01:07<02:48,  1.29s/it]
Epoch 39, training loss 0.099:  29%|██▉       | 53/182 [01:07<02:45,  1.28s/it]
Epoch 39, training loss 0.101:  29%|██▉       | 53/182 [01:08<02:46,  1.29s/it]
Epoch 39, training loss 0.101:  30%|██▉       | 54/182 [01:09<02:43,  1.28s/it]
Epoch 39, training loss 0.102:  30%|██▉       | 54/182 [01:09<02:45,  1.29s/it]
Epoch 39, training loss 0.102:  30%|███       | 55/182 [01:10<02:42,  1.28s/it]
Epoch 39, training loss 0.103:  30%|███       | 55/182 [01:10<02:43,  1.29s/it]
Epoch 39, training loss 0.103:  31%|███       | 56/182 [01:11<02:40,  1.27s/it]
Epoch 39, training loss 0.102:  31%|███       | 56/182 [01:11<02:41,  1.28s/it]
Epoch 39, training loss 0.102:  31%|███▏      | 57/182 [01:12<02:38,  1.27s/it]
Epoch 39, training loss 0.101:  31%|███▏      | 57/182 [01:13<02:40,  1.28s/it]
Epoch 39, training loss 0.101:  32%|███▏      | 58/182 [01:13<02:37,  1.27s/it]
Epoch 39, training loss 0.102:  32%|███▏      | 58/182 [01:14<02:38,  1.28s/it]
Epoch 39, training loss 0.102:  32%|███▏      | 59/182 [01:14<02:35,  1.27s/it]
Epoch 39, training loss 0.103:  32%|███▏      | 59/182 [01:15<02:37,  1.28s/it]
Epoch 39, training loss 0.103:  33%|███▎      | 60/182 [01:16<02:34,  1.27s/it]
Epoch 39, training loss 0.105:  33%|███▎      | 60/182 [01:16<02:36,  1.28s/it]
Epoch 39, training loss 0.105:  34%|███▎      | 61/182 [01:17<02:33,  1.27s/it]
Epoch 39, training loss 0.104:  34%|███▎      | 61/182 [01:18<02:34,  1.28s/it]
Epoch 39, training loss 0.104:  34%|███▍      | 62/182 [01:18<02:32,  1.27s/it]
Epoch 39, training loss 0.106:  34%|███▍      | 62/182 [01:19<02:33,  1.28s/it]
Epoch 39, training loss 0.106:  35%|███▍      | 63/182 [01:19<02:30,  1.26s/it]
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Epoch 39, training loss 0.107:  35%|███▌      | 64/182 [01:21<02:30,  1.27s/it]
Epoch 39, training loss 0.107:  36%|███▌      | 65/182 [01:22<02:27,  1.26s/it]
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Epoch 39, training loss 0.105:  37%|███▋      | 67/182 [01:24<02:24,  1.26s/it]
Epoch 39, training loss 0.106:  37%|███▋      | 67/182 [01:25<02:26,  1.27s/it]
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Epoch 39, training loss 0.106:  38%|███▊      | 69/182 [01:26<02:22,  1.26s/it]
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Epoch 39, training loss 0.105:  39%|███▉      | 71/182 [01:29<02:19,  1.26s/it]
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Epoch 39, training loss 0.105:  40%|███▉      | 72/182 [01:30<02:18,  1.26s/it]
Epoch 39, training loss 0.104:  40%|███▉      | 72/182 [01:31<02:19,  1.26s/it]
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Epoch 39, training loss 0.103:  40%|████      | 73/182 [01:32<02:17,  1.26s/it]
Epoch 39, training loss 0.103:  41%|████      | 74/182 [01:32<02:15,  1.25s/it]
Epoch 39, training loss 0.103:  41%|████      | 74/182 [01:33<02:16,  1.26s/it]
Epoch 39, training loss 0.103:  41%|████      | 75/182 [01:33<02:13,  1.25s/it]
Epoch 39, training loss 0.102:  41%|████      | 75/182 [01:34<02:14,  1.26s/it]
Epoch 39, training loss 0.102:  42%|████▏     | 76/182 [01:34<02:12,  1.25s/it]
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Epoch 39, training loss 0.102:  42%|████▏     | 77/182 [01:36<02:11,  1.25s/it]
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Epoch 39, training loss 0.104:  43%|████▎     | 78/182 [01:37<02:09,  1.25s/it]
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Epoch 39, training loss 0.103:  44%|████▍     | 80/182 [01:39<02:07,  1.25s/it]
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Epoch 39, training loss 0.103:  46%|████▌     | 83/182 [01:43<02:02,  1.24s/it]
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Epoch 39, training loss 0.103:  46%|████▌     | 84/182 [01:44<02:01,  1.24s/it]
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Epoch 39, training loss 0.102:  47%|████▋     | 86/182 [01:46<01:59,  1.24s/it]
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Epoch 39, training loss 0.102:  48%|████▊     | 87/182 [01:47<01:57,  1.24s/it]
Epoch 39, training loss 0.102:  48%|████▊     | 87/182 [01:48<01:58,  1.25s/it]
Epoch 39, training loss 0.102:  48%|████▊     | 88/182 [01:48<01:56,  1.24s/it]
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Epoch 39, training loss 0.102:  49%|████▉     | 89/182 [01:50<01:55,  1.24s/it]
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Epoch 39, training loss 0.102:  49%|████▉     | 90/182 [01:51<01:53,  1.24s/it]
Epoch 39, training loss 0.101:  49%|████▉     | 90/182 [01:51<01:54,  1.24s/it]
Epoch 39, training loss 0.101:  50%|█████     | 91/182 [01:52<01:52,  1.24s/it]
Epoch 39, training loss 0.100:  50%|█████     | 91/182 [01:53<01:53,  1.24s/it]
Epoch 39, training loss 0.100:  51%|█████     | 92/182 [01:53<01:51,  1.23s/it]
Epoch 39, training loss 0.101:  51%|█████     | 92/182 [01:54<01:51,  1.24s/it]
Epoch 39, training loss 0.101:  51%|█████     | 93/182 [01:54<01:49,  1.23s/it]
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Epoch 39, training loss 0.102:  52%|█████▏    | 94/182 [01:56<01:48,  1.23s/it]
Epoch 39, training loss 0.101:  52%|█████▏    | 94/182 [01:56<01:49,  1.24s/it]
Epoch 39, training loss 0.101:  52%|█████▏    | 95/182 [01:57<01:47,  1.23s/it]
Epoch 39, training loss 0.101:  52%|█████▏    | 95/182 [01:57<01:47,  1.24s/it]
Epoch 39, training loss 0.101:  53%|█████▎    | 96/182 [01:58<01:46,  1.23s/it]
Epoch 39, training loss 0.102:  53%|█████▎    | 96/182 [01:59<01:46,  1.24s/it]
Epoch 39, training loss 0.102:  53%|█████▎    | 97/182 [01:59<01:44,  1.23s/it]
Epoch 39, training loss 0.103:  53%|█████▎    | 97/182 [02:00<01:45,  1.24s/it]
Epoch 39, training loss 0.103:  54%|█████▍    | 98/182 [02:00<01:43,  1.23s/it]
Epoch 39, training loss 0.105:  54%|█████▍    | 98/182 [02:01<01:44,  1.24s/it]
Epoch 39, training loss 0.105:  54%|█████▍    | 99/182 [02:01<01:42,  1.23s/it]
Epoch 39, training loss 0.104:  54%|█████▍    | 99/182 [02:02<01:42,  1.24s/it]
Epoch 39, training loss 0.104:  55%|█████▍    | 100/182 [02:03<01:40,  1.23s/it]
Epoch 39, training loss 0.104:  55%|█████▍    | 100/182 [02:03<01:41,  1.24s/it]
Epoch 39, training loss 0.104:  55%|█████▌    | 101/182 [02:04<01:39,  1.23s/it]
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Epoch 39, training loss 0.104:  56%|█████▌    | 102/182 [02:05<01:38,  1.23s/it]
Epoch 39, training loss 0.104:  56%|█████▌    | 102/182 [02:06<01:38,  1.24s/it]
Epoch 39, training loss 0.104:  57%|█████▋    | 103/182 [02:06<01:37,  1.23s/it]
Epoch 39, training loss 0.104:  57%|█████▋    | 103/182 [02:07<01:37,  1.23s/it]
Epoch 39, training loss 0.104:  57%|█████▋    | 104/182 [02:07<01:35,  1.23s/it]
Epoch 39, training loss 0.104:  57%|█████▋    | 104/182 [02:08<01:36,  1.23s/it]
Epoch 39, training loss 0.104:  58%|█████▊    | 105/182 [02:08<01:34,  1.23s/it]
Epoch 39, training loss 0.105:  58%|█████▊    | 105/182 [02:09<01:34,  1.23s/it]
Epoch 39, training loss 0.105:  58%|█████▊    | 106/182 [02:09<01:33,  1.23s/it]
Epoch 39, training loss 0.106:  58%|█████▊    | 106/182 [02:10<01:33,  1.23s/it]
Epoch 39, training loss 0.106:  59%|█████▉    | 107/182 [02:11<01:31,  1.23s/it]
Epoch 39, training loss 0.106:  59%|█████▉    | 107/182 [02:11<01:32,  1.23s/it]
Epoch 39, training loss 0.106:  59%|█████▉    | 108/182 [02:12<01:30,  1.23s/it]
Epoch 39, training loss 0.105:  59%|█████▉    | 108/182 [02:13<01:31,  1.23s/it]
Epoch 39, training loss 0.105:  60%|█████▉    | 109/182 [02:13<01:29,  1.23s/it]
Epoch 39, training loss 0.105:  60%|█████▉    | 109/182 [02:14<01:29,  1.23s/it]
Epoch 39, training loss 0.105:  60%|██████    | 110/182 [02:14<01:28,  1.22s/it]
Epoch 39, training loss 0.105:  60%|██████    | 110/182 [02:15<01:28,  1.23s/it]
Epoch 39, training loss 0.105:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 39, training loss 0.105:  61%|██████    | 111/182 [02:16<01:27,  1.23s/it]
Epoch 39, training loss 0.105:  62%|██████▏   | 112/182 [02:16<01:25,  1.22s/it]
Epoch 39, training loss 0.104:  62%|██████▏   | 112/182 [02:17<01:25,  1.23s/it]
Epoch 39, training loss 0.104:  62%|██████▏   | 113/182 [02:18<01:24,  1.22s/it]
Epoch 39, training loss 0.104:  62%|██████▏   | 113/182 [02:18<01:24,  1.23s/it]
Epoch 39, training loss 0.104:  63%|██████▎   | 114/182 [02:19<01:23,  1.22s/it]
Epoch 39, training loss 0.104:  63%|██████▎   | 114/182 [02:20<01:23,  1.23s/it]
Epoch 39, training loss 0.104:  63%|██████▎   | 115/182 [02:20<01:21,  1.22s/it]
Epoch 39, training loss 0.103:  63%|██████▎   | 115/182 [02:21<01:22,  1.23s/it]
Epoch 39, training loss 0.103:  64%|██████▎   | 116/182 [02:21<01:20,  1.22s/it]
Epoch 39, training loss 0.103:  64%|██████▎   | 116/182 [02:22<01:21,  1.23s/it]
Epoch 39, training loss 0.103:  64%|██████▍   | 117/182 [02:22<01:19,  1.22s/it]
Epoch 39, training loss 0.104:  64%|██████▍   | 117/182 [02:23<01:19,  1.23s/it]
Epoch 39, training loss 0.104:  65%|██████▍   | 118/182 [02:24<01:18,  1.22s/it]
Epoch 39, training loss 0.103:  65%|██████▍   | 118/182 [02:24<01:18,  1.23s/it]
Epoch 39, training loss 0.103:  65%|██████▌   | 119/182 [02:25<01:16,  1.22s/it]
Epoch 39, training loss 0.103:  65%|██████▌   | 119/182 [02:25<01:17,  1.23s/it]
Epoch 39, training loss 0.103:  66%|██████▌   | 120/182 [02:26<01:15,  1.22s/it]
Epoch 39, training loss 0.104:  66%|██████▌   | 120/182 [02:27<01:16,  1.23s/it]
Epoch 39, training loss 0.104:  66%|██████▋   | 121/182 [02:27<01:14,  1.22s/it]
Epoch 39, training loss 0.104:  66%|██████▋   | 121/182 [02:28<01:14,  1.23s/it]
Epoch 39, training loss 0.104:  67%|██████▋   | 122/182 [02:28<01:13,  1.22s/it]
Epoch 39, training loss 0.104:  67%|██████▋   | 122/182 [02:29<01:13,  1.23s/it]
Epoch 39, training loss 0.104:  68%|██████▊   | 123/182 [02:30<01:11,  1.22s/it]
Epoch 39, training loss 0.104:  68%|██████▊   | 123/182 [02:30<01:12,  1.23s/it]
Epoch 39, training loss 0.104:  68%|██████▊   | 124/182 [02:31<01:10,  1.22s/it]
Epoch 39, training loss 0.105:  68%|██████▊   | 124/182 [02:31<01:11,  1.22s/it]
Epoch 39, training loss 0.105:  69%|██████▊   | 125/182 [02:32<01:09,  1.22s/it]
Epoch 39, training loss 0.105:  69%|██████▊   | 125/182 [02:32<01:09,  1.22s/it]
Epoch 39, training loss 0.105:  69%|██████▉   | 126/182 [02:33<01:08,  1.22s/it]
Epoch 39, training loss 0.106:  69%|██████▉   | 126/182 [02:34<01:08,  1.22s/it]
Epoch 39, training loss 0.106:  70%|██████▉   | 127/182 [02:34<01:06,  1.22s/it]
Epoch 39, training loss 0.106:  70%|██████▉   | 127/182 [02:35<01:07,  1.22s/it]
Epoch 39, training loss 0.106:  70%|███████   | 128/182 [02:35<01:05,  1.22s/it]
Epoch 39, training loss 0.107:  70%|███████   | 128/182 [02:36<01:05,  1.22s/it]
Epoch 39, training loss 0.107:  71%|███████   | 129/182 [02:36<01:04,  1.22s/it]
Epoch 39, training loss 0.107:  71%|███████   | 129/182 [02:37<01:04,  1.22s/it]
Epoch 39, training loss 0.107:  71%|███████▏  | 130/182 [02:38<01:03,  1.22s/it]
Epoch 39, training loss 0.108:  71%|███████▏  | 130/182 [02:38<01:03,  1.22s/it]
Epoch 39, training loss 0.108:  72%|███████▏  | 131/182 [02:39<01:01,  1.21s/it]
Epoch 39, training loss 0.108:  72%|███████▏  | 131/182 [02:39<01:02,  1.22s/it]
Epoch 39, training loss 0.108:  73%|███████▎  | 132/182 [02:40<01:00,  1.21s/it]
Epoch 39, training loss 0.108:  73%|███████▎  | 132/182 [02:40<01:00,  1.22s/it]
Epoch 39, training loss 0.108:  73%|███████▎  | 133/182 [02:41<00:59,  1.21s/it]
Epoch 39, training loss 0.107:  73%|███████▎  | 133/182 [02:42<00:59,  1.22s/it]
Epoch 39, training loss 0.107:  74%|███████▎  | 134/182 [02:42<00:58,  1.21s/it]
Epoch 39, training loss 0.107:  74%|███████▎  | 134/182 [02:43<00:58,  1.22s/it]
Epoch 39, training loss 0.107:  74%|███████▍  | 135/182 [02:43<00:57,  1.21s/it]
Epoch 39, training loss 0.106:  74%|███████▍  | 135/182 [02:44<00:57,  1.22s/it]
Epoch 39, training loss 0.106:  75%|███████▍  | 136/182 [02:44<00:55,  1.21s/it]
Epoch 39, training loss 0.106:  75%|███████▍  | 136/182 [02:45<00:55,  1.22s/it]
Epoch 39, training loss 0.106:  75%|███████▌  | 137/182 [02:45<00:54,  1.21s/it]
Epoch 39, training loss 0.106:  75%|███████▌  | 137/182 [02:46<00:54,  1.22s/it]
Epoch 39, training loss 0.106:  76%|███████▌  | 138/182 [02:47<00:53,  1.21s/it]
Epoch 39, training loss 0.106:  76%|███████▌  | 138/182 [02:47<00:53,  1.21s/it]
Epoch 39, training loss 0.106:  76%|███████▋  | 139/182 [02:48<00:52,  1.21s/it]
Epoch 39, training loss 0.106:  76%|███████▋  | 139/182 [02:48<00:52,  1.21s/it]
Epoch 39, training loss 0.106:  77%|███████▋  | 140/182 [02:49<00:50,  1.21s/it]
Epoch 39, training loss 0.106:  77%|███████▋  | 140/182 [02:49<00:50,  1.21s/it]
Epoch 39, training loss 0.106:  77%|███████▋  | 141/182 [02:50<00:49,  1.21s/it]
Epoch 39, training loss 0.106:  77%|███████▋  | 141/182 [02:51<00:49,  1.21s/it]
Epoch 39, training loss 0.106:  78%|███████▊  | 142/182 [02:51<00:48,  1.21s/it]
Epoch 39, training loss 0.106:  78%|███████▊  | 142/182 [02:52<00:48,  1.21s/it]
Epoch 39, training loss 0.106:  79%|███████▊  | 143/182 [02:52<00:47,  1.21s/it]
Epoch 39, training loss 0.106:  79%|███████▊  | 143/182 [02:53<00:47,  1.21s/it]
Epoch 39, training loss 0.106:  79%|███████▉  | 144/182 [02:54<00:45,  1.21s/it]
Epoch 39, training loss 0.107:  79%|███████▉  | 144/182 [02:54<00:46,  1.21s/it]
Epoch 39, training loss 0.107:  80%|███████▉  | 145/182 [02:55<00:44,  1.21s/it]
Epoch 39, training loss 0.106:  80%|███████▉  | 145/182 [02:55<00:44,  1.21s/it]
Epoch 39, training loss 0.106:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 39, training loss 0.106:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 39, training loss 0.106:  81%|████████  | 147/182 [02:57<00:42,  1.21s/it]
Epoch 39, training loss 0.109:  81%|████████  | 147/182 [02:58<00:42,  1.21s/it]
Epoch 39, training loss 0.109:  81%|████████▏ | 148/182 [02:58<00:41,  1.21s/it]
Epoch 39, training loss 0.108:  81%|████████▏ | 148/182 [02:59<00:41,  1.21s/it]
Epoch 39, training loss 0.108:  82%|████████▏ | 149/182 [02:59<00:39,  1.21s/it]
Epoch 39, training loss 0.108:  82%|████████▏ | 149/182 [03:00<00:39,  1.21s/it]
Epoch 39, training loss 0.108:  82%|████████▏ | 150/182 [03:00<00:38,  1.21s/it]
Epoch 39, training loss 0.109:  82%|████████▏ | 150/182 [03:01<00:38,  1.21s/it]
Epoch 39, training loss 0.109:  83%|████████▎ | 151/182 [03:02<00:37,  1.21s/it]
Epoch 39, training loss 0.109:  83%|████████▎ | 151/182 [03:02<00:37,  1.21s/it]
Epoch 39, training loss 0.109:  84%|████████▎ | 152/182 [03:03<00:36,  1.21s/it]
Epoch 39, training loss 0.109:  84%|████████▎ | 152/182 [03:03<00:36,  1.21s/it]
Epoch 39, training loss 0.109:  84%|████████▍ | 153/182 [03:04<00:34,  1.21s/it]
Epoch 39, training loss 0.109:  84%|████████▍ | 153/182 [03:05<00:35,  1.21s/it]
Epoch 39, training loss 0.109:  85%|████████▍ | 154/182 [03:05<00:33,  1.20s/it]
Epoch 39, training loss 0.109:  85%|████████▍ | 154/182 [03:06<00:33,  1.21s/it]
Epoch 39, training loss 0.109:  85%|████████▌ | 155/182 [03:06<00:32,  1.20s/it]
Epoch 39, training loss 0.110:  85%|████████▌ | 155/182 [03:07<00:32,  1.21s/it]
Epoch 39, training loss 0.110:  86%|████████▌ | 156/182 [03:07<00:31,  1.20s/it]
Epoch 39, training loss 0.111:  86%|████████▌ | 156/182 [03:08<00:31,  1.21s/it]
Epoch 39, training loss 0.111:  86%|████████▋ | 157/182 [03:08<00:30,  1.20s/it]
Epoch 39, training loss 0.111:  86%|████████▋ | 157/182 [03:09<00:30,  1.21s/it]
Epoch 39, training loss 0.111:  87%|████████▋ | 158/182 [03:10<00:28,  1.20s/it]
Epoch 39, training loss 0.111:  87%|████████▋ | 158/182 [03:10<00:28,  1.21s/it]
Epoch 39, training loss 0.111:  87%|████████▋ | 159/182 [03:11<00:27,  1.20s/it]
Epoch 39, training loss 0.111:  87%|████████▋ | 159/182 [03:12<00:27,  1.21s/it]
Epoch 39, training loss 0.111:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 39, training loss 0.111:  88%|████████▊ | 160/182 [03:13<00:26,  1.21s/it]
Epoch 39, training loss 0.111:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 39, training loss 0.111:  88%|████████▊ | 161/182 [03:14<00:25,  1.21s/it]
Epoch 39, training loss 0.111:  89%|████████▉ | 162/182 [03:14<00:24,  1.20s/it]
Epoch 39, training loss 0.111:  89%|████████▉ | 162/182 [03:15<00:24,  1.21s/it]
Epoch 39, training loss 0.111:  90%|████████▉ | 163/182 [03:15<00:22,  1.20s/it]
Epoch 39, training loss 0.111:  90%|████████▉ | 163/182 [03:16<00:22,  1.21s/it]
Epoch 39, training loss 0.111:  90%|█████████ | 164/182 [03:17<00:21,  1.20s/it]
Epoch 39, training loss 0.111:  90%|█████████ | 164/182 [03:17<00:21,  1.21s/it]
Epoch 39, training loss 0.111:  91%|█████████ | 165/182 [03:18<00:20,  1.20s/it]
Epoch 39, training loss 0.110:  91%|█████████ | 165/182 [03:19<00:20,  1.21s/it]
Epoch 39, training loss 0.110:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 39, training loss 0.110:  91%|█████████ | 166/182 [03:20<00:19,  1.21s/it]
Epoch 39, training loss 0.110:  92%|█████████▏| 167/182 [03:20<00:18,  1.20s/it]
Epoch 39, training loss 0.110:  92%|█████████▏| 167/182 [03:21<00:18,  1.21s/it]
Epoch 39, training loss 0.110:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 39, training loss 0.110:  92%|█████████▏| 168/182 [03:22<00:16,  1.21s/it]
Epoch 39, training loss 0.110:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 39, training loss 0.109:  93%|█████████▎| 169/182 [03:23<00:15,  1.20s/it]
Epoch 39, training loss 0.109:  93%|█████████▎| 170/182 [03:24<00:14,  1.20s/it]
Epoch 39, training loss 0.109:  93%|█████████▎| 170/182 [03:24<00:14,  1.20s/it]
Epoch 39, training loss 0.109:  94%|█████████▍| 171/182 [03:25<00:13,  1.20s/it]
Epoch 39, training loss 0.109:  94%|█████████▍| 171/182 [03:25<00:13,  1.20s/it]
Epoch 39, training loss 0.109:  95%|█████████▍| 172/182 [03:26<00:11,  1.20s/it]
Epoch 39, training loss 0.109:  95%|█████████▍| 172/182 [03:27<00:12,  1.20s/it]
Epoch 39, training loss 0.109:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 39, training loss 0.108:  95%|█████████▌| 173/182 [03:28<00:10,  1.20s/it]
Epoch 39, training loss 0.108:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 39, training loss 0.108:  96%|█████████▌| 174/182 [03:29<00:09,  1.20s/it]
Epoch 39, training loss 0.108:  96%|█████████▌| 175/182 [03:29<00:08,  1.20s/it]
Epoch 39, training loss 0.109:  96%|█████████▌| 175/182 [03:30<00:08,  1.20s/it]
Epoch 39, training loss 0.109:  97%|█████████▋| 176/182 [03:30<00:07,  1.20s/it]
Epoch 39, training loss 0.109:  97%|█████████▋| 176/182 [03:31<00:07,  1.20s/it]
Epoch 39, training loss 0.109:  97%|█████████▋| 177/182 [03:31<00:05,  1.20s/it]
Epoch 39, training loss 0.109:  97%|█████████▋| 177/182 [03:32<00:06,  1.20s/it]
Epoch 39, training loss 0.109:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 39, training loss 0.109:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 39, training loss 0.109:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 39, training loss 0.109:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 39, training loss 0.109:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 39, training loss 0.109:  99%|█████████▉| 180/182 [03:36<00:02,  1.20s/it]
Epoch 39, training loss 0.109:  99%|█████████▉| 181/182 [03:36<00:01,  1.20s/it]
Epoch 39, training loss 0.109:  99%|█████████▉| 181/182 [03:37<00:01,  1.20s/it]
Epoch 39, training loss 0.109: 100%|██████████| 182/182 [03:37<00:00,  1.20s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 39, validation pixAcc: 0.973, mIoU: 0.646:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 39, validation pixAcc: 0.973, mIoU: 0.646:   1%|          | 1/91 [00:04<06:47,  4.53s/it]
Epoch 39, validation pixAcc: 0.977, mIoU: 0.813:   1%|          | 1/91 [00:04<07:22,  4.91s/it]
Epoch 39, validation pixAcc: 0.977, mIoU: 0.813:   2%|▏         | 2/91 [00:04<03:38,  2.46s/it]
Epoch 39, validation pixAcc: 0.977, mIoU: 0.848:   2%|▏         | 2/91 [00:05<03:55,  2.65s/it]
Epoch 39, validation pixAcc: 0.977, mIoU: 0.848:   3%|▎         | 3/91 [00:05<02:35,  1.77s/it]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.848:   3%|▎         | 3/91 [00:05<02:47,  1.90s/it]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.848:   4%|▍         | 4/91 [00:05<02:04,  1.43s/it]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.894:   4%|▍         | 4/91 [00:06<02:13,  1.54s/it]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.894:   5%|▌         | 5/91 [00:06<01:45,  1.23s/it]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.902:   5%|▌         | 5/91 [00:06<01:52,  1.31s/it]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.902:   7%|▋         | 6/91 [00:06<01:32,  1.09s/it]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.903:   7%|▋         | 6/91 [00:07<01:39,  1.17s/it]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.903:   8%|▊         | 7/91 [00:07<01:24,  1.00s/it]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.900:   8%|▊         | 7/91 [00:07<01:29,  1.06s/it]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.900:   9%|▉         | 8/91 [00:07<01:17,  1.07it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.903:   9%|▉         | 8/91 [00:07<01:21,  1.02it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.903:  10%|▉         | 9/91 [00:07<01:11,  1.15it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.905:  10%|▉         | 9/91 [00:08<01:15,  1.09it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.905:  11%|█         | 10/91 [00:08<01:06,  1.21it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.908:  11%|█         | 10/91 [00:08<01:10,  1.15it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.908:  12%|█▏        | 11/91 [00:08<01:03,  1.26it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.907:  12%|█▏        | 11/91 [00:09<01:06,  1.20it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.907:  13%|█▎        | 12/91 [00:09<01:00,  1.31it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.906:  13%|█▎        | 12/91 [00:09<01:02,  1.25it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.906:  14%|█▍        | 13/91 [00:09<00:57,  1.36it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.911:  14%|█▍        | 13/91 [00:10<01:00,  1.30it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.911:  15%|█▌        | 14/91 [00:10<00:55,  1.40it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.913:  15%|█▌        | 14/91 [00:10<00:57,  1.34it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.913:  16%|█▋        | 15/91 [00:10<00:52,  1.44it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.915:  16%|█▋        | 15/91 [00:10<00:54,  1.38it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.915:  18%|█▊        | 16/91 [00:10<00:50,  1.48it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.919:  18%|█▊        | 16/91 [00:11<00:52,  1.43it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.919:  19%|█▊        | 17/91 [00:11<00:48,  1.52it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.916:  19%|█▊        | 17/91 [00:11<00:50,  1.46it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.916:  20%|█▉        | 18/91 [00:11<00:47,  1.55it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.912:  20%|█▉        | 18/91 [00:12<00:49,  1.49it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.912:  21%|██        | 19/91 [00:12<00:45,  1.57it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.909:  21%|██        | 19/91 [00:12<00:47,  1.52it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.909:  22%|██▏       | 20/91 [00:12<00:44,  1.60it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.909:  22%|██▏       | 20/91 [00:12<00:45,  1.55it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.909:  23%|██▎       | 21/91 [00:12<00:42,  1.63it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.908:  23%|██▎       | 21/91 [00:13<00:44,  1.58it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.908:  24%|██▍       | 22/91 [00:13<00:41,  1.66it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.909:  24%|██▍       | 22/91 [00:13<00:42,  1.61it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.909:  25%|██▌       | 23/91 [00:13<00:40,  1.68it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.910:  25%|██▌       | 23/91 [00:14<00:41,  1.63it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.910:  26%|██▋       | 24/91 [00:14<00:39,  1.70it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.909:  26%|██▋       | 24/91 [00:14<00:40,  1.66it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.909:  27%|██▋       | 25/91 [00:14<00:38,  1.72it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.911:  27%|██▋       | 25/91 [00:14<00:39,  1.68it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.911:  29%|██▊       | 26/91 [00:14<00:37,  1.75it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.911:  29%|██▊       | 26/91 [00:15<00:38,  1.70it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.911:  30%|██▉       | 27/91 [00:15<00:36,  1.76it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.914:  30%|██▉       | 27/91 [00:15<00:37,  1.72it/s]
Epoch 39, validation pixAcc: 0.978, mIoU: 0.914:  31%|███       | 28/91 [00:15<00:35,  1.78it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.914:  31%|███       | 28/91 [00:16<00:36,  1.73it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.914:  32%|███▏      | 29/91 [00:16<00:34,  1.80it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.914:  32%|███▏      | 29/91 [00:16<00:35,  1.75it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.914:  33%|███▎      | 30/91 [00:16<00:33,  1.81it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.916:  33%|███▎      | 30/91 [00:16<00:34,  1.76it/s]
Epoch 39, validation pixAcc: 0.979, mIoU: 0.916:  34%|███▍      | 31/91 [00:16<00:32,  1.82it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.917:  34%|███▍      | 31/91 [00:17<00:33,  1.77it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.917:  35%|███▌      | 32/91 [00:17<00:32,  1.83it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.919:  35%|███▌      | 32/91 [00:17<00:33,  1.79it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.919:  36%|███▋      | 33/91 [00:17<00:31,  1.84it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.919:  36%|███▋      | 33/91 [00:18<00:32,  1.80it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.919:  37%|███▋      | 34/91 [00:18<00:30,  1.85it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.919:  37%|███▋      | 34/91 [00:18<00:31,  1.81it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.919:  38%|███▊      | 35/91 [00:18<00:30,  1.86it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.919:  38%|███▊      | 35/91 [00:19<00:30,  1.82it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.919:  40%|███▉      | 36/91 [00:19<00:29,  1.87it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.919:  40%|███▉      | 36/91 [00:19<00:30,  1.83it/s]
Epoch 39, validation pixAcc: 0.980, mIoU: 0.919:  41%|████      | 37/91 [00:19<00:28,  1.88it/s]
Epoch 39, validation pixAcc: 0.981, mIoU: 0.920:  41%|████      | 37/91 [00:20<00:29,  1.84it/s]
Epoch 39, validation pixAcc: 0.981, mIoU: 0.920:  42%|████▏     | 38/91 [00:20<00:28,  1.89it/s]
Epoch 39, validation pixAcc: 0.981, mIoU: 0.919:  42%|████▏     | 38/91 [00:20<00:28,  1.85it/s]
Epoch 39, validation pixAcc: 0.981, mIoU: 0.919:  43%|████▎     | 39/91 [00:20<00:27,  1.90it/s]
Epoch 39, validation pixAcc: 0.981, mIoU: 0.919:  43%|████▎     | 39/91 [00:21<00:28,  1.86it/s]
Epoch 39, validation pixAcc: 0.981, mIoU: 0.919:  44%|████▍     | 40/91 [00:21<00:26,  1.90it/s]
Epoch 39, validation pixAcc: 0.981, mIoU: 0.920:  44%|████▍     | 40/91 [00:21<00:27,  1.86it/s]
Epoch 39, validation pixAcc: 0.981, mIoU: 0.920:  45%|████▌     | 41/91 [00:21<00:26,  1.91it/s]
Epoch 39, validation pixAcc: 0.981, mIoU: 0.920:  45%|████▌     | 41/91 [00:21<00:26,  1.87it/s]
Epoch 39, validation pixAcc: 0.981, mIoU: 0.920:  46%|████▌     | 42/91 [00:21<00:25,  1.92it/s]
Epoch 39, validation pixAcc: 0.981, mIoU: 0.921:  46%|████▌     | 42/91 [00:22<00:26,  1.88it/s]
Epoch 39, validation pixAcc: 0.981, mIoU: 0.921:  47%|████▋     | 43/91 [00:22<00:24,  1.92it/s]
Epoch 39, validation pixAcc: 0.981, mIoU: 0.921:  47%|████▋     | 43/91 [00:22<00:25,  1.89it/s]
Epoch 39, validation pixAcc: 0.981, mIoU: 0.921:  48%|████▊     | 44/91 [00:22<00:24,  1.94it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  48%|████▊     | 44/91 [00:23<00:24,  1.91it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 45/91 [00:23<00:23,  1.95it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 45/91 [00:23<00:24,  1.91it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/91 [00:23<00:23,  1.96it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/91 [00:23<00:23,  1.92it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  52%|█████▏    | 47/91 [00:23<00:22,  1.97it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  52%|█████▏    | 47/91 [00:24<00:22,  1.93it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/91 [00:24<00:21,  1.97it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.921:  53%|█████▎    | 48/91 [00:24<00:22,  1.93it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.921:  54%|█████▍    | 49/91 [00:24<00:21,  1.97it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.921:  54%|█████▍    | 49/91 [00:25<00:21,  1.94it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.921:  55%|█████▍    | 50/91 [00:25<00:20,  1.98it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  55%|█████▍    | 50/91 [00:25<00:21,  1.95it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  56%|█████▌    | 51/91 [00:25<00:20,  1.99it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  56%|█████▌    | 51/91 [00:26<00:20,  1.95it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  57%|█████▋    | 52/91 [00:26<00:19,  1.99it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  57%|█████▋    | 52/91 [00:26<00:19,  1.96it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  58%|█████▊    | 53/91 [00:26<00:19,  2.00it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.921:  58%|█████▊    | 53/91 [00:27<00:19,  1.96it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.921:  59%|█████▉    | 54/91 [00:27<00:18,  2.00it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  59%|█████▉    | 54/91 [00:27<00:18,  1.97it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  60%|██████    | 55/91 [00:27<00:17,  2.00it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  60%|██████    | 55/91 [00:27<00:18,  1.97it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  62%|██████▏   | 56/91 [00:27<00:17,  2.01it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  62%|██████▏   | 56/91 [00:28<00:17,  1.97it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  63%|██████▎   | 57/91 [00:28<00:16,  2.01it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  63%|██████▎   | 57/91 [00:28<00:17,  1.98it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  64%|██████▎   | 58/91 [00:28<00:16,  2.01it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.922:  64%|██████▎   | 58/91 [00:29<00:16,  1.98it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.922:  65%|██████▍   | 59/91 [00:29<00:15,  2.02it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  65%|██████▍   | 59/91 [00:29<00:16,  1.99it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.922:  66%|██████▌   | 60/91 [00:29<00:15,  2.02it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.923:  66%|██████▌   | 60/91 [00:30<00:15,  1.99it/s]
Epoch 39, validation pixAcc: 0.982, mIoU: 0.923:  67%|██████▋   | 61/91 [00:30<00:14,  2.03it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.923:  67%|██████▋   | 61/91 [00:30<00:15,  1.99it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.923:  68%|██████▊   | 62/91 [00:30<00:14,  2.03it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.923:  68%|██████▊   | 62/91 [00:31<00:14,  2.00it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.923:  69%|██████▉   | 63/91 [00:31<00:13,  2.03it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 63/91 [00:31<00:13,  2.00it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.924:  70%|███████   | 64/91 [00:31<00:13,  2.03it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.924:  70%|███████   | 64/91 [00:31<00:13,  2.00it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.924:  71%|███████▏  | 65/91 [00:31<00:12,  2.04it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.924:  71%|███████▏  | 65/91 [00:32<00:12,  2.01it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.924:  73%|███████▎  | 66/91 [00:32<00:12,  2.04it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.925:  73%|███████▎  | 66/91 [00:32<00:12,  2.01it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▎  | 67/91 [00:32<00:11,  2.04it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▎  | 67/91 [00:33<00:11,  2.02it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.925:  75%|███████▍  | 68/91 [00:33<00:11,  2.05it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.924:  75%|███████▍  | 68/91 [00:33<00:11,  2.02it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.924:  76%|███████▌  | 69/91 [00:33<00:10,  2.05it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 69/91 [00:34<00:10,  2.02it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.925:  77%|███████▋  | 70/91 [00:34<00:10,  2.05it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.925:  77%|███████▋  | 70/91 [00:34<00:10,  2.03it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.925:  78%|███████▊  | 71/91 [00:34<00:09,  2.06it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.925:  78%|███████▊  | 71/91 [00:34<00:09,  2.03it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.925:  79%|███████▉  | 72/91 [00:34<00:09,  2.06it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.925:  79%|███████▉  | 72/91 [00:35<00:09,  2.03it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.925:  80%|████████  | 73/91 [00:35<00:08,  2.06it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.925:  80%|████████  | 73/91 [00:35<00:08,  2.04it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.925:  81%|████████▏ | 74/91 [00:35<00:08,  2.06it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.926:  81%|████████▏ | 74/91 [00:36<00:08,  2.04it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.926:  82%|████████▏ | 75/91 [00:36<00:07,  2.07it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.926:  82%|████████▏ | 75/91 [00:36<00:07,  2.04it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.926:  84%|████████▎ | 76/91 [00:36<00:07,  2.07it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.926:  84%|████████▎ | 76/91 [00:37<00:07,  2.05it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.926:  85%|████████▍ | 77/91 [00:37<00:06,  2.08it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.926:  85%|████████▍ | 77/91 [00:37<00:06,  2.05it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.926:  86%|████████▌ | 78/91 [00:37<00:06,  2.08it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.926:  86%|████████▌ | 78/91 [00:37<00:06,  2.06it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.926:  87%|████████▋ | 79/91 [00:37<00:05,  2.08it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.927:  87%|████████▋ | 79/91 [00:38<00:05,  2.06it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.927:  88%|████████▊ | 80/91 [00:38<00:05,  2.09it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.927:  88%|████████▊ | 80/91 [00:38<00:05,  2.06it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.927:  89%|████████▉ | 81/91 [00:38<00:04,  2.09it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928:  89%|████████▉ | 81/91 [00:39<00:04,  2.07it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928:  90%|█████████ | 82/91 [00:39<00:04,  2.09it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928:  90%|█████████ | 82/91 [00:39<00:04,  2.07it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928:  91%|█████████ | 83/91 [00:39<00:03,  2.09it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928:  91%|█████████ | 83/91 [00:40<00:03,  2.07it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928:  92%|█████████▏| 84/91 [00:40<00:03,  2.10it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928:  92%|█████████▏| 84/91 [00:40<00:03,  2.07it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928:  93%|█████████▎| 85/91 [00:40<00:02,  2.10it/s]
Epoch 39, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 85/91 [00:40<00:02,  2.08it/s]
Epoch 39, validation pixAcc: 0.984, mIoU: 0.928:  95%|█████████▍| 86/91 [00:40<00:02,  2.10it/s]
Epoch 39, validation pixAcc: 0.984, mIoU: 0.928:  95%|█████████▍| 86/91 [00:41<00:02,  2.08it/s]
Epoch 39, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 87/91 [00:41<00:01,  2.11it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928:  96%|█████████▌| 87/91 [00:41<00:01,  2.08it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928:  97%|█████████▋| 88/91 [00:41<00:01,  2.11it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928:  97%|█████████▋| 88/91 [00:42<00:01,  2.09it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928:  98%|█████████▊| 89/91 [00:42<00:00,  2.11it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928:  98%|█████████▊| 89/91 [00:42<00:00,  2.09it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928:  99%|█████████▉| 90/91 [00:42<00:00,  2.11it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928:  99%|█████████▉| 90/91 [00:43<00:00,  2.09it/s]
Epoch 39, validation pixAcc: 0.983, mIoU: 0.928: 100%|██████████| 91/91 [00:43<00:00,  2.11it/s]

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Epoch 40, training loss 0.359:   0%|          | 0/182 [00:05<?, ?it/s]
Epoch 40, training loss 0.359:   1%|          | 1/182 [00:05<17:22,  5.76s/it]
Epoch 40, training loss 0.205:   1%|          | 1/182 [00:06<19:28,  6.46s/it]
Epoch 40, training loss 0.205:   1%|          | 2/182 [00:06<10:26,  3.48s/it]
Epoch 40, training loss 0.163:   1%|          | 2/182 [00:07<11:27,  3.82s/it]
Epoch 40, training loss 0.163:   2%|▏         | 3/182 [00:08<08:07,  2.73s/it]
Epoch 40, training loss 0.159:   2%|▏         | 3/182 [00:08<08:54,  2.98s/it]
Epoch 40, training loss 0.159:   2%|▏         | 4/182 [00:09<07:00,  2.36s/it]
Epoch 40, training loss 0.148:   2%|▏         | 4/182 [00:10<07:31,  2.54s/it]
Epoch 40, training loss 0.148:   3%|▎         | 5/182 [00:10<06:17,  2.13s/it]
Epoch 40, training loss 0.132:   3%|▎         | 5/182 [00:11<06:42,  2.27s/it]
Epoch 40, training loss 0.132:   3%|▎         | 6/182 [00:11<05:48,  1.98s/it]
Epoch 40, training loss 0.120:   3%|▎         | 6/182 [00:12<06:04,  2.07s/it]
Epoch 40, training loss 0.120:   4%|▍         | 7/182 [00:12<05:24,  1.85s/it]
Epoch 40, training loss 0.117:   4%|▍         | 7/182 [00:13<05:41,  1.95s/it]
Epoch 40, training loss 0.117:   4%|▍         | 8/182 [00:14<05:08,  1.77s/it]
Epoch 40, training loss 0.119:   4%|▍         | 8/182 [00:14<05:23,  1.86s/it]
Epoch 40, training loss 0.119:   5%|▍         | 9/182 [00:15<04:55,  1.71s/it]
Epoch 40, training loss 0.118:   5%|▍         | 9/182 [00:16<05:09,  1.79s/it]
Epoch 40, training loss 0.118:   5%|▌         | 10/182 [00:16<04:45,  1.66s/it]
Epoch 40, training loss 0.129:   5%|▌         | 10/182 [00:17<04:58,  1.73s/it]
Epoch 40, training loss 0.129:   6%|▌         | 11/182 [00:17<04:37,  1.62s/it]
Epoch 40, training loss 0.130:   6%|▌         | 11/182 [00:18<04:48,  1.69s/it]
Epoch 40, training loss 0.130:   7%|▋         | 12/182 [00:19<04:29,  1.59s/it]
Epoch 40, training loss 0.127:   7%|▋         | 12/182 [00:19<04:37,  1.64s/it]
Epoch 40, training loss 0.127:   7%|▋         | 13/182 [00:20<04:21,  1.55s/it]
Epoch 40, training loss 0.123:   7%|▋         | 13/182 [00:20<04:30,  1.60s/it]
Epoch 40, training loss 0.123:   8%|▊         | 14/182 [00:21<04:15,  1.52s/it]
Epoch 40, training loss 0.120:   8%|▊         | 14/182 [00:21<04:23,  1.57s/it]
Epoch 40, training loss 0.120:   8%|▊         | 15/182 [00:22<04:10,  1.50s/it]
Epoch 40, training loss 0.118:   8%|▊         | 15/182 [00:23<04:18,  1.55s/it]
Epoch 40, training loss 0.118:   9%|▉         | 16/182 [00:23<04:05,  1.48s/it]
Epoch 40, training loss 0.114:   9%|▉         | 16/182 [00:24<04:13,  1.52s/it]
Epoch 40, training loss 0.114:   9%|▉         | 17/182 [00:24<04:01,  1.46s/it]
Epoch 40, training loss 0.120:   9%|▉         | 17/182 [00:25<04:08,  1.50s/it]
Epoch 40, training loss 0.120:  10%|▉         | 18/182 [00:26<03:57,  1.45s/it]
Epoch 40, training loss 0.126:  10%|▉         | 18/182 [00:26<04:03,  1.48s/it]
Epoch 40, training loss 0.126:  10%|█         | 19/182 [00:27<03:53,  1.43s/it]
Epoch 40, training loss 0.122:  10%|█         | 19/182 [00:27<03:58,  1.47s/it]
Epoch 40, training loss 0.122:  11%|█         | 20/182 [00:28<03:49,  1.42s/it]
Epoch 40, training loss 0.130:  11%|█         | 20/182 [00:29<03:56,  1.46s/it]
Epoch 40, training loss 0.130:  12%|█▏        | 21/182 [00:29<03:47,  1.41s/it]
Epoch 40, training loss 0.129:  12%|█▏        | 21/182 [00:30<03:53,  1.45s/it]
Epoch 40, training loss 0.129:  12%|█▏        | 22/182 [00:30<03:45,  1.41s/it]
Epoch 40, training loss 0.129:  12%|█▏        | 22/182 [00:31<03:50,  1.44s/it]
Epoch 40, training loss 0.129:  13%|█▎        | 23/182 [00:32<03:41,  1.40s/it]
Epoch 40, training loss 0.125:  13%|█▎        | 23/182 [00:32<03:46,  1.43s/it]
Epoch 40, training loss 0.125:  13%|█▎        | 24/182 [00:33<03:39,  1.39s/it]
Epoch 40, training loss 0.125:  13%|█▎        | 24/182 [00:33<03:43,  1.42s/it]
Epoch 40, training loss 0.125:  14%|█▎        | 25/182 [00:34<03:36,  1.38s/it]
Epoch 40, training loss 0.124:  14%|█▎        | 25/182 [00:35<03:40,  1.40s/it]
Epoch 40, training loss 0.124:  14%|█▍        | 26/182 [00:35<03:33,  1.37s/it]
Epoch 40, training loss 0.126:  14%|█▍        | 26/182 [00:36<03:37,  1.40s/it]
Epoch 40, training loss 0.126:  15%|█▍        | 27/182 [00:36<03:31,  1.36s/it]
Epoch 40, training loss 0.124:  15%|█▍        | 27/182 [00:37<03:35,  1.39s/it]
Epoch 40, training loss 0.124:  15%|█▌        | 28/182 [00:38<03:29,  1.36s/it]
Epoch 40, training loss 0.121:  15%|█▌        | 28/182 [00:38<03:33,  1.38s/it]
Epoch 40, training loss 0.121:  16%|█▌        | 29/182 [00:39<03:27,  1.35s/it]
Epoch 40, training loss 0.120:  16%|█▌        | 29/182 [00:39<03:30,  1.38s/it]
Epoch 40, training loss 0.120:  16%|█▋        | 30/182 [00:40<03:24,  1.35s/it]
Epoch 40, training loss 0.119:  16%|█▋        | 30/182 [00:41<03:28,  1.37s/it]
Epoch 40, training loss 0.119:  17%|█▋        | 31/182 [00:41<03:22,  1.34s/it]
Epoch 40, training loss 0.119:  17%|█▋        | 31/182 [00:42<03:25,  1.36s/it]
Epoch 40, training loss 0.119:  18%|█▊        | 32/182 [00:42<03:20,  1.34s/it]
Epoch 40, training loss 0.118:  18%|█▊        | 32/182 [00:43<03:23,  1.36s/it]
Epoch 40, training loss 0.118:  18%|█▊        | 33/182 [00:43<03:18,  1.33s/it]
Epoch 40, training loss 0.116:  18%|█▊        | 33/182 [00:44<03:21,  1.35s/it]
Epoch 40, training loss 0.116:  19%|█▊        | 34/182 [00:45<03:16,  1.33s/it]
Epoch 40, training loss 0.115:  19%|█▊        | 34/182 [00:45<03:19,  1.35s/it]
Epoch 40, training loss 0.115:  19%|█▉        | 35/182 [00:46<03:14,  1.33s/it]
Epoch 40, training loss 0.113:  19%|█▉        | 35/182 [00:47<03:17,  1.34s/it]
Epoch 40, training loss 0.113:  20%|█▉        | 36/182 [00:47<03:12,  1.32s/it]
Epoch 40, training loss 0.112:  20%|█▉        | 36/182 [00:48<03:15,  1.34s/it]
Epoch 40, training loss 0.112:  20%|██        | 37/182 [00:48<03:10,  1.31s/it]
Epoch 40, training loss 0.114:  20%|██        | 37/182 [00:49<03:13,  1.33s/it]
Epoch 40, training loss 0.114:  21%|██        | 38/182 [00:49<03:08,  1.31s/it]
Epoch 40, training loss 0.114:  21%|██        | 38/182 [00:50<03:10,  1.32s/it]
Epoch 40, training loss 0.114:  21%|██▏       | 39/182 [00:50<03:06,  1.30s/it]
Epoch 40, training loss 0.113:  21%|██▏       | 39/182 [00:51<03:08,  1.32s/it]
Epoch 40, training loss 0.113:  22%|██▏       | 40/182 [00:51<03:04,  1.30s/it]
Epoch 40, training loss 0.111:  22%|██▏       | 40/182 [00:52<03:06,  1.32s/it]
Epoch 40, training loss 0.111:  23%|██▎       | 41/182 [00:53<03:02,  1.30s/it]
Epoch 40, training loss 0.110:  23%|██▎       | 41/182 [00:53<03:05,  1.31s/it]
Epoch 40, training loss 0.110:  23%|██▎       | 42/182 [00:54<03:01,  1.29s/it]
Epoch 40, training loss 0.108:  23%|██▎       | 42/182 [00:55<03:03,  1.31s/it]
Epoch 40, training loss 0.108:  24%|██▎       | 43/182 [00:55<02:59,  1.29s/it]
Epoch 40, training loss 0.107:  24%|██▎       | 43/182 [00:56<03:01,  1.31s/it]
Epoch 40, training loss 0.107:  24%|██▍       | 44/182 [00:56<02:58,  1.29s/it]
Epoch 40, training loss 0.109:  24%|██▍       | 44/182 [00:57<03:00,  1.31s/it]
Epoch 40, training loss 0.109:  25%|██▍       | 45/182 [00:57<02:56,  1.29s/it]
Epoch 40, training loss 0.109:  25%|██▍       | 45/182 [00:58<02:58,  1.30s/it]
Epoch 40, training loss 0.109:  25%|██▌       | 46/182 [00:59<02:54,  1.29s/it]
Epoch 40, training loss 0.111:  25%|██▌       | 46/182 [00:59<02:56,  1.30s/it]
Epoch 40, training loss 0.111:  26%|██▌       | 47/182 [01:00<02:53,  1.28s/it]
Epoch 40, training loss 0.110:  26%|██▌       | 47/182 [01:01<02:55,  1.30s/it]
Epoch 40, training loss 0.110:  26%|██▋       | 48/182 [01:01<02:51,  1.28s/it]
Epoch 40, training loss 0.109:  26%|██▋       | 48/182 [01:02<02:53,  1.30s/it]
Epoch 40, training loss 0.109:  27%|██▋       | 49/182 [01:02<02:50,  1.28s/it]
Epoch 40, training loss 0.108:  27%|██▋       | 49/182 [01:03<02:52,  1.30s/it]
Epoch 40, training loss 0.108:  27%|██▋       | 50/182 [01:04<02:49,  1.28s/it]
Epoch 40, training loss 0.110:  27%|██▋       | 50/182 [01:04<02:50,  1.29s/it]
Epoch 40, training loss 0.110:  28%|██▊       | 51/182 [01:05<02:47,  1.28s/it]
Epoch 40, training loss 0.109:  28%|██▊       | 51/182 [01:05<02:49,  1.29s/it]
Epoch 40, training loss 0.109:  29%|██▊       | 52/182 [01:06<02:45,  1.28s/it]
Epoch 40, training loss 0.107:  29%|██▊       | 52/182 [01:07<02:47,  1.29s/it]
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Epoch 40, training loss 0.105:  30%|██▉       | 54/182 [01:09<02:44,  1.29s/it]
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Epoch 40, training loss 0.104:  30%|███       | 55/182 [01:10<02:42,  1.28s/it]
Epoch 40, training loss 0.104:  31%|███       | 56/182 [01:11<02:39,  1.27s/it]
Epoch 40, training loss 0.103:  31%|███       | 56/182 [01:11<02:41,  1.28s/it]
Epoch 40, training loss 0.103:  31%|███▏      | 57/182 [01:12<02:38,  1.27s/it]
Epoch 40, training loss 0.101:  31%|███▏      | 57/182 [01:12<02:39,  1.28s/it]
Epoch 40, training loss 0.101:  32%|███▏      | 58/182 [01:13<02:36,  1.26s/it]
Epoch 40, training loss 0.101:  32%|███▏      | 58/182 [01:14<02:38,  1.28s/it]
Epoch 40, training loss 0.101:  32%|███▏      | 59/182 [01:14<02:35,  1.26s/it]
Epoch 40, training loss 0.102:  32%|███▏      | 59/182 [01:15<02:36,  1.27s/it]
Epoch 40, training loss 0.102:  33%|███▎      | 60/182 [01:15<02:33,  1.26s/it]
Epoch 40, training loss 0.101:  33%|███▎      | 60/182 [01:16<02:35,  1.27s/it]
Epoch 40, training loss 0.101:  34%|███▎      | 61/182 [01:16<02:32,  1.26s/it]
Epoch 40, training loss 0.100:  34%|███▎      | 61/182 [01:17<02:34,  1.27s/it]
Epoch 40, training loss 0.100:  34%|███▍      | 62/182 [01:18<02:31,  1.26s/it]
Epoch 40, training loss 0.099:  34%|███▍      | 62/182 [01:18<02:32,  1.27s/it]
Epoch 40, training loss 0.099:  35%|███▍      | 63/182 [01:19<02:29,  1.26s/it]
Epoch 40, training loss 0.099:  35%|███▍      | 63/182 [01:19<02:30,  1.27s/it]
Epoch 40, training loss 0.099:  35%|███▌      | 64/182 [01:20<02:28,  1.26s/it]
Epoch 40, training loss 0.097:  35%|███▌      | 64/182 [01:20<02:29,  1.27s/it]
Epoch 40, training loss 0.097:  36%|███▌      | 65/182 [01:21<02:26,  1.25s/it]
Epoch 40, training loss 0.098:  36%|███▌      | 65/182 [01:22<02:27,  1.26s/it]
Epoch 40, training loss 0.098:  36%|███▋      | 66/182 [01:22<02:25,  1.25s/it]
Epoch 40, training loss 0.099:  36%|███▋      | 66/182 [01:23<02:26,  1.26s/it]
Epoch 40, training loss 0.099:  37%|███▋      | 67/182 [01:23<02:23,  1.25s/it]
Epoch 40, training loss 0.102:  37%|███▋      | 67/182 [01:24<02:25,  1.26s/it]
Epoch 40, training loss 0.102:  37%|███▋      | 68/182 [01:25<02:22,  1.25s/it]
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Epoch 40, training loss 0.102:  38%|███▊      | 69/182 [01:26<02:21,  1.25s/it]
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Epoch 40, training loss 0.101:  38%|███▊      | 70/182 [01:27<02:19,  1.25s/it]
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Epoch 40, training loss 0.102:  39%|███▉      | 71/182 [01:28<02:18,  1.25s/it]
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Epoch 40, training loss 0.103:  40%|███▉      | 72/182 [01:29<02:17,  1.25s/it]
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Epoch 40, training loss 0.103:  40%|████      | 73/182 [01:31<02:15,  1.25s/it]
Epoch 40, training loss 0.104:  40%|████      | 73/182 [01:31<02:16,  1.26s/it]
Epoch 40, training loss 0.104:  41%|████      | 74/182 [01:32<02:14,  1.25s/it]
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Epoch 40, training loss 0.103:  41%|████      | 75/182 [01:33<02:13,  1.25s/it]
Epoch 40, training loss 0.103:  41%|████      | 75/182 [01:34<02:14,  1.25s/it]
Epoch 40, training loss 0.103:  42%|████▏     | 76/182 [01:34<02:11,  1.24s/it]
Epoch 40, training loss 0.103:  42%|████▏     | 76/182 [01:35<02:12,  1.25s/it]
Epoch 40, training loss 0.103:  42%|████▏     | 77/182 [01:35<02:10,  1.24s/it]
Epoch 40, training loss 0.107:  42%|████▏     | 77/182 [01:36<02:11,  1.25s/it]
Epoch 40, training loss 0.107:  43%|████▎     | 78/182 [01:36<02:09,  1.24s/it]
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Epoch 40, training loss 0.110:  43%|████▎     | 79/182 [01:38<02:08,  1.25s/it]
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Epoch 40, training loss 0.111:  45%|████▍     | 81/182 [01:41<02:05,  1.25s/it]
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Epoch 40, training loss 0.112:  46%|████▌     | 83/182 [01:42<02:02,  1.24s/it]
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Epoch 40, training loss 0.118:  46%|████▌     | 84/182 [01:44<02:01,  1.24s/it]
Epoch 40, training loss 0.118:  47%|████▋     | 85/182 [01:44<01:59,  1.23s/it]
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Epoch 40, training loss 0.117:  47%|████▋     | 86/182 [01:46<01:58,  1.23s/it]
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Epoch 40, training loss 0.117:  48%|████▊     | 87/182 [01:47<01:57,  1.23s/it]
Epoch 40, training loss 0.117:  48%|████▊     | 87/182 [01:47<01:57,  1.24s/it]
Epoch 40, training loss 0.117:  48%|████▊     | 88/182 [01:48<01:55,  1.23s/it]
Epoch 40, training loss 0.116:  48%|████▊     | 88/182 [01:49<01:56,  1.24s/it]
Epoch 40, training loss 0.116:  49%|████▉     | 89/182 [01:49<01:54,  1.23s/it]
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Epoch 40, training loss 0.118:  49%|████▉     | 90/182 [01:50<01:53,  1.23s/it]
Epoch 40, training loss 0.118:  49%|████▉     | 90/182 [01:51<01:53,  1.24s/it]
Epoch 40, training loss 0.118:  50%|█████     | 91/182 [01:51<01:51,  1.23s/it]
Epoch 40, training loss 0.119:  50%|█████     | 91/182 [01:52<01:52,  1.24s/it]
Epoch 40, training loss 0.119:  51%|█████     | 92/182 [01:52<01:50,  1.23s/it]
Epoch 40, training loss 0.120:  51%|█████     | 92/182 [01:53<01:51,  1.23s/it]
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Epoch 40, training loss 0.119:  52%|█████▏    | 94/182 [01:55<01:47,  1.23s/it]
Epoch 40, training loss 0.122:  52%|█████▏    | 94/182 [01:55<01:48,  1.23s/it]
Epoch 40, training loss 0.122:  52%|█████▏    | 95/182 [01:56<01:46,  1.23s/it]
Epoch 40, training loss 0.123:  52%|█████▏    | 95/182 [01:57<01:47,  1.23s/it]
Epoch 40, training loss 0.123:  53%|█████▎    | 96/182 [01:57<01:45,  1.23s/it]
Epoch 40, training loss 0.123:  53%|█████▎    | 96/182 [01:58<01:45,  1.23s/it]
Epoch 40, training loss 0.123:  53%|█████▎    | 97/182 [01:58<01:44,  1.22s/it]
Epoch 40, training loss 0.122:  53%|█████▎    | 97/182 [01:59<01:44,  1.23s/it]
Epoch 40, training loss 0.122:  54%|█████▍    | 98/182 [01:59<01:42,  1.22s/it]
Epoch 40, training loss 0.122:  54%|█████▍    | 98/182 [02:00<01:43,  1.23s/it]
Epoch 40, training loss 0.122:  54%|█████▍    | 99/182 [02:01<01:41,  1.22s/it]
Epoch 40, training loss 0.123:  54%|█████▍    | 99/182 [02:01<01:42,  1.23s/it]
Epoch 40, training loss 0.123:  55%|█████▍    | 100/182 [02:02<01:40,  1.22s/it]
Epoch 40, training loss 0.126:  55%|█████▍    | 100/182 [02:02<01:40,  1.23s/it]
Epoch 40, training loss 0.126:  55%|█████▌    | 101/182 [02:03<01:38,  1.22s/it]
Epoch 40, training loss 0.125:  55%|█████▌    | 101/182 [02:04<01:39,  1.23s/it]
Epoch 40, training loss 0.125:  56%|█████▌    | 102/182 [02:04<01:37,  1.22s/it]
Epoch 40, training loss 0.126:  56%|█████▌    | 102/182 [02:05<01:38,  1.23s/it]
Epoch 40, training loss 0.126:  57%|█████▋    | 103/182 [02:05<01:36,  1.22s/it]
Epoch 40, training loss 0.125:  57%|█████▋    | 103/182 [02:06<01:37,  1.23s/it]
Epoch 40, training loss 0.125:  57%|█████▋    | 104/182 [02:06<01:35,  1.22s/it]
Epoch 40, training loss 0.124:  57%|█████▋    | 104/182 [02:07<01:35,  1.23s/it]
Epoch 40, training loss 0.124:  58%|█████▊    | 105/182 [02:08<01:34,  1.22s/it]
Epoch 40, training loss 0.124:  58%|█████▊    | 105/182 [02:08<01:34,  1.23s/it]
Epoch 40, training loss 0.124:  58%|█████▊    | 106/182 [02:09<01:32,  1.22s/it]
Epoch 40, training loss 0.124:  58%|█████▊    | 106/182 [02:09<01:33,  1.23s/it]
Epoch 40, training loss 0.124:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 40, training loss 0.123:  59%|█████▉    | 107/182 [02:11<01:31,  1.22s/it]
Epoch 40, training loss 0.123:  59%|█████▉    | 108/182 [02:11<01:30,  1.22s/it]
Epoch 40, training loss 0.124:  59%|█████▉    | 108/182 [02:12<01:30,  1.22s/it]
Epoch 40, training loss 0.124:  60%|█████▉    | 109/182 [02:12<01:28,  1.22s/it]
Epoch 40, training loss 0.123:  60%|█████▉    | 109/182 [02:13<01:29,  1.22s/it]
Epoch 40, training loss 0.123:  60%|██████    | 110/182 [02:13<01:27,  1.22s/it]
Epoch 40, training loss 0.123:  60%|██████    | 110/182 [02:14<01:28,  1.22s/it]
Epoch 40, training loss 0.123:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 40, training loss 0.124:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 40, training loss 0.124:  62%|██████▏   | 112/182 [02:16<01:25,  1.22s/it]
Epoch 40, training loss 0.123:  62%|██████▏   | 112/182 [02:16<01:25,  1.22s/it]
Epoch 40, training loss 0.123:  62%|██████▏   | 113/182 [02:17<01:23,  1.22s/it]
Epoch 40, training loss 0.122:  62%|██████▏   | 113/182 [02:17<01:24,  1.22s/it]
Epoch 40, training loss 0.122:  63%|██████▎   | 114/182 [02:18<01:22,  1.21s/it]
Epoch 40, training loss 0.122:  63%|██████▎   | 114/182 [02:19<01:22,  1.22s/it]
Epoch 40, training loss 0.122:  63%|██████▎   | 115/182 [02:19<01:21,  1.21s/it]
Epoch 40, training loss 0.121:  63%|██████▎   | 115/182 [02:20<01:21,  1.22s/it]
Epoch 40, training loss 0.121:  64%|██████▎   | 116/182 [02:20<01:20,  1.21s/it]
Epoch 40, training loss 0.121:  64%|██████▎   | 116/182 [02:21<01:20,  1.22s/it]
Epoch 40, training loss 0.121:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 40, training loss 0.120:  64%|██████▍   | 117/182 [02:22<01:19,  1.22s/it]
Epoch 40, training loss 0.120:  65%|██████▍   | 118/182 [02:22<01:17,  1.21s/it]
Epoch 40, training loss 0.121:  65%|██████▍   | 118/182 [02:23<01:17,  1.22s/it]
Epoch 40, training loss 0.121:  65%|██████▌   | 119/182 [02:23<01:16,  1.21s/it]
Epoch 40, training loss 0.121:  65%|██████▌   | 119/182 [02:24<01:16,  1.21s/it]
Epoch 40, training loss 0.121:  66%|██████▌   | 120/182 [02:25<01:14,  1.21s/it]
Epoch 40, training loss 0.120:  66%|██████▌   | 120/182 [02:25<01:15,  1.21s/it]
Epoch 40, training loss 0.120:  66%|██████▋   | 121/182 [02:26<01:13,  1.21s/it]
Epoch 40, training loss 0.119:  66%|██████▋   | 121/182 [02:26<01:14,  1.21s/it]
Epoch 40, training loss 0.119:  67%|██████▋   | 122/182 [02:27<01:12,  1.21s/it]
Epoch 40, training loss 0.119:  67%|██████▋   | 122/182 [02:28<01:12,  1.21s/it]
Epoch 40, training loss 0.119:  68%|██████▊   | 123/182 [02:28<01:11,  1.21s/it]
Epoch 40, training loss 0.118:  68%|██████▊   | 123/182 [02:29<01:11,  1.21s/it]
Epoch 40, training loss 0.118:  68%|██████▊   | 124/182 [02:29<01:10,  1.21s/it]
Epoch 40, training loss 0.118:  68%|██████▊   | 124/182 [02:30<01:10,  1.21s/it]
Epoch 40, training loss 0.118:  69%|██████▊   | 125/182 [02:30<01:08,  1.21s/it]
Epoch 40, training loss 0.118:  69%|██████▊   | 125/182 [02:31<01:09,  1.21s/it]
Epoch 40, training loss 0.118:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 40, training loss 0.118:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 40, training loss 0.118:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 40, training loss 0.118:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 40, training loss 0.118:  70%|███████   | 128/182 [02:34<01:05,  1.21s/it]
Epoch 40, training loss 0.118:  70%|███████   | 128/182 [02:35<01:05,  1.21s/it]
Epoch 40, training loss 0.118:  71%|███████   | 129/182 [02:35<01:03,  1.21s/it]
Epoch 40, training loss 0.117:  71%|███████   | 129/182 [02:36<01:04,  1.21s/it]
Epoch 40, training loss 0.117:  71%|███████▏  | 130/182 [02:36<01:02,  1.21s/it]
Epoch 40, training loss 0.118:  71%|███████▏  | 130/182 [02:37<01:02,  1.21s/it]
Epoch 40, training loss 0.118:  72%|███████▏  | 131/182 [02:37<01:01,  1.21s/it]
Epoch 40, training loss 0.117:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 40, training loss 0.117:  73%|███████▎  | 132/182 [02:39<01:00,  1.21s/it]
Epoch 40, training loss 0.118:  73%|███████▎  | 132/182 [02:39<01:00,  1.21s/it]
Epoch 40, training loss 0.118:  73%|███████▎  | 133/182 [02:40<00:59,  1.20s/it]
Epoch 40, training loss 0.117:  73%|███████▎  | 133/182 [02:40<00:59,  1.21s/it]
Epoch 40, training loss 0.117:  74%|███████▎  | 134/182 [02:41<00:57,  1.20s/it]
Epoch 40, training loss 0.117:  74%|███████▎  | 134/182 [02:42<00:58,  1.21s/it]
Epoch 40, training loss 0.117:  74%|███████▍  | 135/182 [02:42<00:56,  1.20s/it]
Epoch 40, training loss 0.117:  74%|███████▍  | 135/182 [02:43<00:56,  1.21s/it]
Epoch 40, training loss 0.117:  75%|███████▍  | 136/182 [02:43<00:55,  1.20s/it]
Epoch 40, training loss 0.117:  75%|███████▍  | 136/182 [02:44<00:55,  1.21s/it]
Epoch 40, training loss 0.117:  75%|███████▌  | 137/182 [02:44<00:54,  1.20s/it]
Epoch 40, training loss 0.116:  75%|███████▌  | 137/182 [02:45<00:54,  1.21s/it]
Epoch 40, training loss 0.116:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 40, training loss 0.116:  76%|███████▌  | 138/182 [02:46<00:53,  1.21s/it]
Epoch 40, training loss 0.116:  76%|███████▋  | 139/182 [02:47<00:51,  1.20s/it]
Epoch 40, training loss 0.116:  76%|███████▋  | 139/182 [02:47<00:51,  1.21s/it]
Epoch 40, training loss 0.116:  77%|███████▋  | 140/182 [02:48<00:50,  1.20s/it]
Epoch 40, training loss 0.116:  77%|███████▋  | 140/182 [02:48<00:50,  1.21s/it]
Epoch 40, training loss 0.116:  77%|███████▋  | 141/182 [02:49<00:49,  1.20s/it]
Epoch 40, training loss 0.116:  77%|███████▋  | 141/182 [02:50<00:49,  1.21s/it]
Epoch 40, training loss 0.116:  78%|███████▊  | 142/182 [02:50<00:48,  1.20s/it]
Epoch 40, training loss 0.116:  78%|███████▊  | 142/182 [02:51<00:48,  1.21s/it]
Epoch 40, training loss 0.116:  79%|███████▊  | 143/182 [02:51<00:46,  1.20s/it]
Epoch 40, training loss 0.115:  79%|███████▊  | 143/182 [02:52<00:47,  1.21s/it]
Epoch 40, training loss 0.115:  79%|███████▉  | 144/182 [02:52<00:45,  1.20s/it]
Epoch 40, training loss 0.115:  79%|███████▉  | 144/182 [02:53<00:45,  1.21s/it]
Epoch 40, training loss 0.115:  80%|███████▉  | 145/182 [02:54<00:44,  1.20s/it]
Epoch 40, training loss 0.115:  80%|███████▉  | 145/182 [02:54<00:44,  1.20s/it]
Epoch 40, training loss 0.115:  80%|████████  | 146/182 [02:55<00:43,  1.20s/it]
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Epoch 40, training loss 0.114:  81%|████████  | 147/182 [02:56<00:41,  1.20s/it]
Epoch 40, training loss 0.119:  81%|████████  | 147/182 [02:57<00:42,  1.20s/it]
Epoch 40, training loss 0.119:  81%|████████▏ | 148/182 [02:57<00:40,  1.20s/it]
Epoch 40, training loss 0.118:  81%|████████▏ | 148/182 [02:58<00:40,  1.20s/it]
Epoch 40, training loss 0.118:  82%|████████▏ | 149/182 [02:58<00:39,  1.20s/it]
Epoch 40, training loss 0.118:  82%|████████▏ | 149/182 [02:59<00:39,  1.20s/it]
Epoch 40, training loss 0.118:  82%|████████▏ | 150/182 [03:00<00:38,  1.20s/it]
Epoch 40, training loss 0.118:  82%|████████▏ | 150/182 [03:00<00:38,  1.20s/it]
Epoch 40, training loss 0.118:  83%|████████▎ | 151/182 [03:01<00:37,  1.20s/it]
Epoch 40, training loss 0.118:  83%|████████▎ | 151/182 [03:01<00:37,  1.20s/it]
Epoch 40, training loss 0.118:  84%|████████▎ | 152/182 [03:02<00:35,  1.20s/it]
Epoch 40, training loss 0.118:  84%|████████▎ | 152/182 [03:02<00:36,  1.20s/it]
Epoch 40, training loss 0.118:  84%|████████▍ | 153/182 [03:03<00:34,  1.20s/it]
Epoch 40, training loss 0.117:  84%|████████▍ | 153/182 [03:04<00:34,  1.20s/it]
Epoch 40, training loss 0.117:  85%|████████▍ | 154/182 [03:04<00:33,  1.20s/it]
Epoch 40, training loss 0.117:  85%|████████▍ | 154/182 [03:05<00:33,  1.20s/it]
Epoch 40, training loss 0.117:  85%|████████▌ | 155/182 [03:05<00:32,  1.20s/it]
Epoch 40, training loss 0.119:  85%|████████▌ | 155/182 [03:06<00:32,  1.20s/it]
Epoch 40, training loss 0.119:  86%|████████▌ | 156/182 [03:06<00:31,  1.20s/it]
Epoch 40, training loss 0.119:  86%|████████▌ | 156/182 [03:07<00:31,  1.20s/it]
Epoch 40, training loss 0.119:  86%|████████▋ | 157/182 [03:08<00:29,  1.20s/it]
Epoch 40, training loss 0.118:  86%|████████▋ | 157/182 [03:08<00:30,  1.20s/it]
Epoch 40, training loss 0.118:  87%|████████▋ | 158/182 [03:09<00:28,  1.20s/it]
Epoch 40, training loss 0.118:  87%|████████▋ | 158/182 [03:09<00:28,  1.20s/it]
Epoch 40, training loss 0.118:  87%|████████▋ | 159/182 [03:10<00:27,  1.20s/it]
Epoch 40, training loss 0.118:  87%|████████▋ | 159/182 [03:10<00:27,  1.20s/it]
Epoch 40, training loss 0.118:  88%|████████▊ | 160/182 [03:11<00:26,  1.20s/it]
Epoch 40, training loss 0.118:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 40, training loss 0.118:  88%|████████▊ | 161/182 [03:12<00:25,  1.20s/it]
Epoch 40, training loss 0.118:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 40, training loss 0.118:  89%|████████▉ | 162/182 [03:13<00:23,  1.20s/it]
Epoch 40, training loss 0.117:  89%|████████▉ | 162/182 [03:14<00:24,  1.20s/it]
Epoch 40, training loss 0.117:  90%|████████▉ | 163/182 [03:14<00:22,  1.20s/it]
Epoch 40, training loss 0.117:  90%|████████▉ | 163/182 [03:15<00:22,  1.20s/it]
Epoch 40, training loss 0.117:  90%|█████████ | 164/182 [03:16<00:21,  1.20s/it]
Epoch 40, training loss 0.117:  90%|█████████ | 164/182 [03:16<00:21,  1.20s/it]
Epoch 40, training loss 0.117:  91%|█████████ | 165/182 [03:17<00:20,  1.20s/it]
Epoch 40, training loss 0.117:  91%|█████████ | 165/182 [03:17<00:20,  1.20s/it]
Epoch 40, training loss 0.117:  91%|█████████ | 166/182 [03:18<00:19,  1.20s/it]
Epoch 40, training loss 0.117:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 40, training loss 0.117:  92%|█████████▏| 167/182 [03:19<00:17,  1.20s/it]
Epoch 40, training loss 0.116:  92%|█████████▏| 167/182 [03:20<00:17,  1.20s/it]
Epoch 40, training loss 0.116:  92%|█████████▏| 168/182 [03:20<00:16,  1.20s/it]
Epoch 40, training loss 0.117:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 40, training loss 0.117:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 40, training loss 0.116:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 40, training loss 0.116:  93%|█████████▎| 170/182 [03:23<00:14,  1.20s/it]
Epoch 40, training loss 0.116:  93%|█████████▎| 170/182 [03:23<00:14,  1.20s/it]
Epoch 40, training loss 0.116:  94%|█████████▍| 171/182 [03:24<00:13,  1.19s/it]
Epoch 40, training loss 0.116:  94%|█████████▍| 171/182 [03:25<00:13,  1.20s/it]
Epoch 40, training loss 0.116:  95%|█████████▍| 172/182 [03:25<00:11,  1.20s/it]
Epoch 40, training loss 0.116:  95%|█████████▍| 172/182 [03:26<00:11,  1.20s/it]
Epoch 40, training loss 0.116:  95%|█████████▌| 173/182 [03:26<00:10,  1.19s/it]
Epoch 40, training loss 0.116:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 40, training loss 0.116:  96%|█████████▌| 174/182 [03:27<00:09,  1.19s/it]
Epoch 40, training loss 0.116:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 40, training loss 0.116:  96%|█████████▌| 175/182 [03:28<00:08,  1.19s/it]
Epoch 40, training loss 0.115:  96%|█████████▌| 175/182 [03:29<00:08,  1.20s/it]
Epoch 40, training loss 0.115:  97%|█████████▋| 176/182 [03:29<00:07,  1.19s/it]
Epoch 40, training loss 0.115:  97%|█████████▋| 176/182 [03:30<00:07,  1.20s/it]
Epoch 40, training loss 0.115:  97%|█████████▋| 177/182 [03:31<00:05,  1.19s/it]
Epoch 40, training loss 0.117:  97%|█████████▋| 177/182 [03:31<00:05,  1.20s/it]
Epoch 40, training loss 0.117:  98%|█████████▊| 178/182 [03:32<00:04,  1.19s/it]
Epoch 40, training loss 0.117:  98%|█████████▊| 178/182 [03:32<00:04,  1.20s/it]
Epoch 40, training loss 0.117:  98%|█████████▊| 179/182 [03:33<00:03,  1.19s/it]
Epoch 40, training loss 0.117:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 40, training loss 0.117:  99%|█████████▉| 180/182 [03:34<00:02,  1.19s/it]
Epoch 40, training loss 0.117:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 40, training loss 0.117:  99%|█████████▉| 181/182 [03:35<00:01,  1.19s/it]
Epoch 40, training loss 0.117:  99%|█████████▉| 181/182 [03:36<00:01,  1.20s/it]
Epoch 40, training loss 0.117: 100%|██████████| 182/182 [03:36<00:00,  1.19s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.541:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.541:   1%|          | 1/91 [00:04<07:04,  4.72s/it]
Epoch 40, validation pixAcc: 0.978, mIoU: 0.749:   1%|          | 1/91 [00:05<07:45,  5.18s/it]
Epoch 40, validation pixAcc: 0.978, mIoU: 0.749:   2%|▏         | 2/91 [00:05<03:50,  2.59s/it]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.777:   2%|▏         | 2/91 [00:05<04:08,  2.80s/it]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.777:   3%|▎         | 3/91 [00:05<02:43,  1.86s/it]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.797:   3%|▎         | 3/91 [00:06<02:56,  2.00s/it]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.797:   4%|▍         | 4/91 [00:06<02:10,  1.50s/it]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.902:   4%|▍         | 4/91 [00:06<02:20,  1.61s/it]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.902:   5%|▌         | 5/91 [00:06<01:51,  1.29s/it]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.899:   5%|▌         | 5/91 [00:06<01:58,  1.38s/it]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.899:   7%|▋         | 6/91 [00:06<01:37,  1.15s/it]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.899:   7%|▋         | 6/91 [00:07<01:44,  1.23s/it]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.899:   8%|▊         | 7/91 [00:07<01:28,  1.05s/it]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.899:   8%|▊         | 7/91 [00:07<01:33,  1.11s/it]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.899:   9%|▉         | 8/91 [00:07<01:20,  1.03it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.901:   9%|▉         | 8/91 [00:08<01:25,  1.03s/it]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.901:  10%|▉         | 9/91 [00:08<01:14,  1.09it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.910:  10%|▉         | 9/91 [00:08<01:18,  1.04it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.910:  11%|█         | 10/91 [00:08<01:09,  1.16it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.908:  11%|█         | 10/91 [00:09<01:13,  1.10it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.908:  12%|█▏        | 11/91 [00:09<01:06,  1.21it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.907:  12%|█▏        | 11/91 [00:09<01:09,  1.16it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.907:  13%|█▎        | 12/91 [00:09<01:02,  1.26it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.907:  13%|█▎        | 12/91 [00:09<01:05,  1.21it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.907:  14%|█▍        | 13/91 [00:09<00:59,  1.31it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.915:  14%|█▍        | 13/91 [00:10<01:02,  1.26it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.915:  15%|█▌        | 14/91 [00:10<00:56,  1.35it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.915:  15%|█▌        | 14/91 [00:10<00:59,  1.30it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.915:  16%|█▋        | 15/91 [00:10<00:54,  1.39it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.920:  16%|█▋        | 15/91 [00:11<00:56,  1.33it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.920:  18%|█▊        | 16/91 [00:11<00:52,  1.42it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.919:  18%|█▊        | 16/91 [00:11<00:54,  1.37it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.919:  19%|█▊        | 17/91 [00:11<00:50,  1.45it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.917:  19%|█▊        | 17/91 [00:12<00:52,  1.41it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.917:  20%|█▉        | 18/91 [00:12<00:49,  1.49it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.912:  20%|█▉        | 18/91 [00:12<00:50,  1.43it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.912:  21%|██        | 19/91 [00:12<00:47,  1.51it/s]
Epoch 40, validation pixAcc: 0.978, mIoU: 0.908:  21%|██        | 19/91 [00:13<00:49,  1.46it/s]
Epoch 40, validation pixAcc: 0.978, mIoU: 0.908:  22%|██▏       | 20/91 [00:13<00:46,  1.54it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.910:  22%|██▏       | 20/91 [00:13<00:47,  1.49it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.910:  23%|██▎       | 21/91 [00:13<00:44,  1.56it/s]
Epoch 40, validation pixAcc: 0.978, mIoU: 0.909:  23%|██▎       | 21/91 [00:13<00:46,  1.52it/s]
Epoch 40, validation pixAcc: 0.978, mIoU: 0.909:  24%|██▍       | 22/91 [00:13<00:43,  1.59it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.911:  24%|██▍       | 22/91 [00:14<00:44,  1.54it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.911:  25%|██▌       | 23/91 [00:14<00:42,  1.61it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.911:  25%|██▌       | 23/91 [00:14<00:43,  1.56it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.911:  26%|██▋       | 24/91 [00:14<00:41,  1.63it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.911:  26%|██▋       | 24/91 [00:15<00:42,  1.58it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.911:  27%|██▋       | 25/91 [00:15<00:40,  1.65it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.912:  27%|██▋       | 25/91 [00:15<00:41,  1.60it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.912:  29%|██▊       | 26/91 [00:15<00:39,  1.67it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.913:  29%|██▊       | 26/91 [00:16<00:40,  1.62it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.913:  30%|██▉       | 27/91 [00:16<00:38,  1.68it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.916:  30%|██▉       | 27/91 [00:16<00:39,  1.64it/s]
Epoch 40, validation pixAcc: 0.979, mIoU: 0.916:  31%|███       | 28/91 [00:16<00:37,  1.70it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.916:  31%|███       | 28/91 [00:16<00:37,  1.66it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.916:  32%|███▏      | 29/91 [00:16<00:36,  1.72it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.917:  32%|███▏      | 29/91 [00:17<00:36,  1.68it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.917:  33%|███▎      | 30/91 [00:17<00:35,  1.74it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.919:  33%|███▎      | 30/91 [00:17<00:35,  1.70it/s]
Epoch 40, validation pixAcc: 0.980, mIoU: 0.919:  34%|███▍      | 31/91 [00:17<00:34,  1.76it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.919:  34%|███▍      | 31/91 [00:18<00:34,  1.72it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.919:  35%|███▌      | 32/91 [00:18<00:33,  1.77it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.920:  35%|███▌      | 32/91 [00:18<00:34,  1.73it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.920:  36%|███▋      | 33/91 [00:18<00:32,  1.78it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.921:  36%|███▋      | 33/91 [00:18<00:33,  1.74it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.921:  37%|███▋      | 34/91 [00:18<00:31,  1.79it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.920:  37%|███▋      | 34/91 [00:19<00:32,  1.75it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.920:  38%|███▊      | 35/91 [00:19<00:31,  1.80it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.921:  38%|███▊      | 35/91 [00:19<00:31,  1.77it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.921:  40%|███▉      | 36/91 [00:19<00:30,  1.82it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.921:  40%|███▉      | 36/91 [00:20<00:30,  1.78it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.921:  41%|████      | 37/91 [00:20<00:29,  1.83it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.921:  41%|████      | 37/91 [00:20<00:30,  1.79it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.921:  42%|████▏     | 38/91 [00:20<00:28,  1.84it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.921:  42%|████▏     | 38/91 [00:21<00:29,  1.80it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.921:  43%|████▎     | 39/91 [00:21<00:28,  1.85it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.923:  43%|████▎     | 39/91 [00:21<00:28,  1.81it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.923:  44%|████▍     | 40/91 [00:21<00:27,  1.86it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.922:  44%|████▍     | 40/91 [00:21<00:27,  1.83it/s]
Epoch 40, validation pixAcc: 0.981, mIoU: 0.922:  45%|████▌     | 41/91 [00:21<00:26,  1.87it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.922:  45%|████▌     | 41/91 [00:22<00:27,  1.84it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.922:  46%|████▌     | 42/91 [00:22<00:26,  1.88it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.923:  46%|████▌     | 42/91 [00:22<00:26,  1.85it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.923:  47%|████▋     | 43/91 [00:22<00:25,  1.89it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.923:  47%|████▋     | 43/91 [00:23<00:25,  1.86it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.923:  48%|████▊     | 44/91 [00:23<00:24,  1.90it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.923:  48%|████▊     | 44/91 [00:23<00:25,  1.87it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.923:  49%|████▉     | 45/91 [00:23<00:24,  1.91it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.924:  49%|████▉     | 45/91 [00:24<00:24,  1.87it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.924:  51%|█████     | 46/91 [00:24<00:23,  1.92it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.924:  51%|█████     | 46/91 [00:24<00:23,  1.88it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.924:  52%|█████▏    | 47/91 [00:24<00:22,  1.92it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  52%|█████▏    | 47/91 [00:24<00:23,  1.89it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  53%|█████▎    | 48/91 [00:24<00:22,  1.93it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.923:  53%|█████▎    | 48/91 [00:25<00:22,  1.90it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.923:  54%|█████▍    | 49/91 [00:25<00:21,  1.94it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.923:  54%|█████▍    | 49/91 [00:25<00:22,  1.90it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.923:  55%|█████▍    | 50/91 [00:25<00:21,  1.94it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  55%|█████▍    | 50/91 [00:26<00:21,  1.91it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  56%|█████▌    | 51/91 [00:26<00:20,  1.95it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  56%|█████▌    | 51/91 [00:26<00:20,  1.92it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  57%|█████▋    | 52/91 [00:26<00:19,  1.96it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  57%|█████▋    | 52/91 [00:27<00:20,  1.92it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  58%|█████▊    | 53/91 [00:27<00:19,  1.96it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.923:  58%|█████▊    | 53/91 [00:27<00:19,  1.93it/s]
Epoch 40, validation pixAcc: 0.982, mIoU: 0.923:  59%|█████▉    | 54/91 [00:27<00:18,  1.97it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.923:  59%|█████▉    | 54/91 [00:27<00:19,  1.93it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.923:  60%|██████    | 55/91 [00:27<00:18,  1.97it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  60%|██████    | 55/91 [00:28<00:18,  1.94it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  62%|██████▏   | 56/91 [00:28<00:17,  1.97it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  62%|██████▏   | 56/91 [00:28<00:18,  1.94it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  63%|██████▎   | 57/91 [00:28<00:17,  1.98it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  63%|██████▎   | 57/91 [00:29<00:17,  1.95it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  64%|██████▎   | 58/91 [00:29<00:16,  1.99it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  64%|██████▎   | 58/91 [00:29<00:16,  1.96it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  65%|██████▍   | 59/91 [00:29<00:16,  1.99it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.923:  65%|██████▍   | 59/91 [00:30<00:16,  1.96it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.923:  66%|██████▌   | 60/91 [00:30<00:15,  2.00it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  66%|██████▌   | 60/91 [00:30<00:15,  1.97it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.924:  67%|██████▋   | 61/91 [00:30<00:15,  2.00it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.925:  67%|██████▋   | 61/91 [00:30<00:15,  1.97it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.925:  68%|██████▊   | 62/91 [00:30<00:14,  2.00it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.925:  68%|██████▊   | 62/91 [00:31<00:14,  1.98it/s]
Epoch 40, validation pixAcc: 0.983, mIoU: 0.925:  69%|██████▉   | 63/91 [00:31<00:13,  2.01it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.926:  69%|██████▉   | 63/91 [00:31<00:14,  1.98it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.926:  70%|███████   | 64/91 [00:31<00:13,  2.02it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.926:  70%|███████   | 64/91 [00:32<00:13,  1.99it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.926:  71%|███████▏  | 65/91 [00:32<00:12,  2.02it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.926:  71%|███████▏  | 65/91 [00:32<00:13,  2.00it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.926:  73%|███████▎  | 66/91 [00:32<00:12,  2.03it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.926:  73%|███████▎  | 66/91 [00:32<00:12,  2.00it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.926:  74%|███████▎  | 67/91 [00:32<00:11,  2.03it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.926:  74%|███████▎  | 67/91 [00:33<00:11,  2.01it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.926:  75%|███████▍  | 68/91 [00:33<00:11,  2.04it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.926:  75%|███████▍  | 68/91 [00:33<00:11,  2.01it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.926:  76%|███████▌  | 69/91 [00:33<00:10,  2.04it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  76%|███████▌  | 69/91 [00:34<00:10,  2.01it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  77%|███████▋  | 70/91 [00:34<00:10,  2.04it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  77%|███████▋  | 70/91 [00:34<00:10,  2.02it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  78%|███████▊  | 71/91 [00:34<00:09,  2.05it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  78%|███████▊  | 71/91 [00:35<00:09,  2.02it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  79%|███████▉  | 72/91 [00:35<00:09,  2.05it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  79%|███████▉  | 72/91 [00:35<00:09,  2.03it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  80%|████████  | 73/91 [00:35<00:08,  2.05it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  80%|████████  | 73/91 [00:35<00:08,  2.03it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  81%|████████▏ | 74/91 [00:35<00:08,  2.06it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  81%|████████▏ | 74/91 [00:36<00:08,  2.03it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  82%|████████▏ | 75/91 [00:36<00:07,  2.06it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  82%|████████▏ | 75/91 [00:36<00:07,  2.04it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  84%|████████▎ | 76/91 [00:36<00:07,  2.06it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.928:  84%|████████▎ | 76/91 [00:37<00:07,  2.04it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.928:  85%|████████▍ | 77/91 [00:37<00:06,  2.07it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.928:  85%|████████▍ | 77/91 [00:37<00:06,  2.04it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.928:  86%|████████▌ | 78/91 [00:37<00:06,  2.07it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  86%|████████▌ | 78/91 [00:38<00:06,  2.05it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.927:  87%|████████▋ | 79/91 [00:38<00:05,  2.08it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.928:  87%|████████▋ | 79/91 [00:38<00:05,  2.05it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.928:  88%|████████▊ | 80/91 [00:38<00:05,  2.08it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.928:  88%|████████▊ | 80/91 [00:38<00:05,  2.06it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.928:  89%|████████▉ | 81/91 [00:38<00:04,  2.08it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  89%|████████▉ | 81/91 [00:39<00:04,  2.06it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  90%|█████████ | 82/91 [00:39<00:04,  2.08it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  90%|█████████ | 82/91 [00:39<00:04,  2.06it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  91%|█████████ | 83/91 [00:39<00:03,  2.09it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  91%|█████████ | 83/91 [00:40<00:03,  2.07it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  92%|█████████▏| 84/91 [00:40<00:03,  2.09it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  92%|█████████▏| 84/91 [00:40<00:03,  2.07it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  93%|█████████▎| 85/91 [00:40<00:02,  2.10it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  93%|█████████▎| 85/91 [00:40<00:02,  2.07it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  95%|█████████▍| 86/91 [00:40<00:02,  2.10it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  95%|█████████▍| 86/91 [00:41<00:02,  2.08it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  96%|█████████▌| 87/91 [00:41<00:01,  2.10it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  96%|█████████▌| 87/91 [00:41<00:01,  2.08it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  97%|█████████▋| 88/91 [00:41<00:01,  2.10it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  97%|█████████▋| 88/91 [00:42<00:01,  2.08it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  98%|█████████▊| 89/91 [00:42<00:00,  2.11it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  98%|█████████▊| 89/91 [00:42<00:00,  2.08it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  99%|█████████▉| 90/91 [00:42<00:00,  2.11it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929:  99%|█████████▉| 90/91 [00:43<00:00,  2.09it/s]
Epoch 40, validation pixAcc: 0.984, mIoU: 0.929: 100%|██████████| 91/91 [00:43<00:00,  2.11it/s]

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Epoch 41, training loss 0.050:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 41, training loss 0.050:   1%|          | 1/182 [00:05<16:09,  5.36s/it]
Epoch 41, training loss 0.082:   1%|          | 1/182 [00:06<18:13,  6.04s/it]
Epoch 41, training loss 0.082:   1%|          | 2/182 [00:06<09:50,  3.28s/it]
Epoch 41, training loss 0.121:   1%|          | 2/182 [00:07<11:02,  3.68s/it]
Epoch 41, training loss 0.121:   2%|▏         | 3/182 [00:07<07:46,  2.61s/it]
Epoch 41, training loss 0.112:   2%|▏         | 3/182 [00:08<08:28,  2.84s/it]
Epoch 41, training loss 0.112:   2%|▏         | 4/182 [00:09<06:42,  2.26s/it]
Epoch 41, training loss 0.105:   2%|▏         | 4/182 [00:09<07:11,  2.42s/it]
Epoch 41, training loss 0.105:   3%|▎         | 5/182 [00:10<06:01,  2.04s/it]
Epoch 41, training loss 0.095:   3%|▎         | 5/182 [00:10<06:24,  2.17s/it]
Epoch 41, training loss 0.095:   3%|▎         | 6/182 [00:11<05:34,  1.90s/it]
Epoch 41, training loss 0.128:   3%|▎         | 6/182 [00:12<05:54,  2.01s/it]
Epoch 41, training loss 0.128:   4%|▍         | 7/182 [00:12<05:14,  1.80s/it]
Epoch 41, training loss 0.117:   4%|▍         | 7/182 [00:13<05:32,  1.90s/it]
Epoch 41, training loss 0.117:   4%|▍         | 8/182 [00:13<05:00,  1.73s/it]
Epoch 41, training loss 0.113:   4%|▍         | 8/182 [00:14<05:15,  1.81s/it]
Epoch 41, training loss 0.113:   5%|▍         | 9/182 [00:15<04:48,  1.67s/it]
Epoch 41, training loss 0.128:   5%|▍         | 9/182 [00:15<05:01,  1.75s/it]
Epoch 41, training loss 0.128:   5%|▌         | 10/182 [00:16<04:38,  1.62s/it]
Epoch 41, training loss 0.123:   5%|▌         | 10/182 [00:16<04:49,  1.69s/it]
Epoch 41, training loss 0.123:   6%|▌         | 11/182 [00:17<04:29,  1.58s/it]
Epoch 41, training loss 0.120:   6%|▌         | 11/182 [00:18<04:41,  1.65s/it]
Epoch 41, training loss 0.120:   7%|▋         | 12/182 [00:18<04:23,  1.55s/it]
Epoch 41, training loss 0.120:   7%|▋         | 12/182 [00:19<04:32,  1.61s/it]
Epoch 41, training loss 0.120:   7%|▋         | 13/182 [00:19<04:17,  1.52s/it]
Epoch 41, training loss 0.113:   7%|▋         | 13/182 [00:20<04:25,  1.57s/it]
Epoch 41, training loss 0.113:   8%|▊         | 14/182 [00:20<04:11,  1.50s/it]
Epoch 41, training loss 0.117:   8%|▊         | 14/182 [00:21<04:19,  1.55s/it]
Epoch 41, training loss 0.117:   8%|▊         | 15/182 [00:22<04:06,  1.48s/it]
Epoch 41, training loss 0.114:   8%|▊         | 15/182 [00:22<04:13,  1.52s/it]
Epoch 41, training loss 0.114:   9%|▉         | 16/182 [00:23<04:01,  1.46s/it]
Epoch 41, training loss 0.113:   9%|▉         | 16/182 [00:23<04:08,  1.50s/it]
Epoch 41, training loss 0.113:   9%|▉         | 17/182 [00:24<03:57,  1.44s/it]
Epoch 41, training loss 0.109:   9%|▉         | 17/182 [00:25<04:03,  1.48s/it]
Epoch 41, training loss 0.109:  10%|▉         | 18/182 [00:25<03:53,  1.42s/it]
Epoch 41, training loss 0.105:  10%|▉         | 18/182 [00:26<03:59,  1.46s/it]
Epoch 41, training loss 0.105:  10%|█         | 19/182 [00:26<03:50,  1.41s/it]
Epoch 41, training loss 0.110:  10%|█         | 19/182 [00:27<03:55,  1.45s/it]
Epoch 41, training loss 0.110:  11%|█         | 20/182 [00:27<03:46,  1.40s/it]
Epoch 41, training loss 0.112:  11%|█         | 20/182 [00:28<03:52,  1.43s/it]
Epoch 41, training loss 0.112:  12%|█▏        | 21/182 [00:29<03:43,  1.39s/it]
Epoch 41, training loss 0.108:  12%|█▏        | 21/182 [00:29<03:48,  1.42s/it]
Epoch 41, training loss 0.108:  12%|█▏        | 22/182 [00:30<03:40,  1.38s/it]
Epoch 41, training loss 0.106:  12%|█▏        | 22/182 [00:31<03:45,  1.41s/it]
Epoch 41, training loss 0.106:  13%|█▎        | 23/182 [00:31<03:38,  1.37s/it]
Epoch 41, training loss 0.104:  13%|█▎        | 23/182 [00:32<03:42,  1.40s/it]
Epoch 41, training loss 0.104:  13%|█▎        | 24/182 [00:32<03:35,  1.36s/it]
Epoch 41, training loss 0.121:  13%|█▎        | 24/182 [00:33<03:40,  1.39s/it]
Epoch 41, training loss 0.121:  14%|█▎        | 25/182 [00:33<03:33,  1.36s/it]
Epoch 41, training loss 0.118:  14%|█▎        | 25/182 [00:34<03:37,  1.39s/it]
Epoch 41, training loss 0.118:  14%|█▍        | 26/182 [00:35<03:31,  1.35s/it]
Epoch 41, training loss 0.120:  14%|█▍        | 26/182 [00:35<03:35,  1.38s/it]
Epoch 41, training loss 0.120:  15%|█▍        | 27/182 [00:36<03:28,  1.35s/it]
Epoch 41, training loss 0.120:  15%|█▍        | 27/182 [00:37<03:32,  1.37s/it]
Epoch 41, training loss 0.120:  15%|█▌        | 28/182 [00:37<03:26,  1.34s/it]
Epoch 41, training loss 0.118:  15%|█▌        | 28/182 [00:38<03:30,  1.37s/it]
Epoch 41, training loss 0.118:  16%|█▌        | 29/182 [00:38<03:24,  1.34s/it]
Epoch 41, training loss 0.115:  16%|█▌        | 29/182 [00:39<03:28,  1.36s/it]
Epoch 41, training loss 0.115:  16%|█▋        | 30/182 [00:39<03:22,  1.33s/it]
Epoch 41, training loss 0.114:  16%|█▋        | 30/182 [00:40<03:26,  1.36s/it]
Epoch 41, training loss 0.114:  17%|█▋        | 31/182 [00:41<03:21,  1.33s/it]
Epoch 41, training loss 0.111:  17%|█▋        | 31/182 [00:41<03:24,  1.35s/it]
Epoch 41, training loss 0.111:  18%|█▊        | 32/182 [00:42<03:19,  1.33s/it]
Epoch 41, training loss 0.111:  18%|█▊        | 32/182 [00:43<03:22,  1.35s/it]
Epoch 41, training loss 0.111:  18%|█▊        | 33/182 [00:43<03:17,  1.32s/it]
Epoch 41, training loss 0.122:  18%|█▊        | 33/182 [00:44<03:20,  1.34s/it]
Epoch 41, training loss 0.122:  19%|█▊        | 34/182 [00:44<03:15,  1.32s/it]
Epoch 41, training loss 0.120:  19%|█▊        | 34/182 [00:45<03:18,  1.34s/it]
Epoch 41, training loss 0.120:  19%|█▉        | 35/182 [00:46<03:13,  1.32s/it]
Epoch 41, training loss 0.126:  19%|█▉        | 35/182 [00:46<03:16,  1.34s/it]
Epoch 41, training loss 0.126:  20%|█▉        | 36/182 [00:47<03:11,  1.31s/it]
Epoch 41, training loss 0.126:  20%|█▉        | 36/182 [00:47<03:14,  1.33s/it]
Epoch 41, training loss 0.126:  20%|██        | 37/182 [00:48<03:09,  1.31s/it]
Epoch 41, training loss 0.126:  20%|██        | 37/182 [00:49<03:12,  1.33s/it]
Epoch 41, training loss 0.126:  21%|██        | 38/182 [00:49<03:07,  1.30s/it]
Epoch 41, training loss 0.130:  21%|██        | 38/182 [00:50<03:09,  1.32s/it]
Epoch 41, training loss 0.130:  21%|██▏       | 39/182 [00:50<03:05,  1.30s/it]
Epoch 41, training loss 0.128:  21%|██▏       | 39/182 [00:51<03:07,  1.31s/it]
Epoch 41, training loss 0.128:  22%|██▏       | 40/182 [00:51<03:03,  1.29s/it]
Epoch 41, training loss 0.126:  22%|██▏       | 40/182 [00:52<03:05,  1.31s/it]
Epoch 41, training loss 0.126:  23%|██▎       | 41/182 [00:52<03:01,  1.29s/it]
Epoch 41, training loss 0.126:  23%|██▎       | 41/182 [00:53<03:03,  1.30s/it]
Epoch 41, training loss 0.126:  23%|██▎       | 42/182 [00:53<02:59,  1.28s/it]
Epoch 41, training loss 0.127:  23%|██▎       | 42/182 [00:54<03:01,  1.30s/it]
Epoch 41, training loss 0.127:  24%|██▎       | 43/182 [00:54<02:57,  1.28s/it]
Epoch 41, training loss 0.126:  24%|██▎       | 43/182 [00:55<03:00,  1.30s/it]
Epoch 41, training loss 0.126:  24%|██▍       | 44/182 [00:56<02:56,  1.28s/it]
Epoch 41, training loss 0.126:  24%|██▍       | 44/182 [00:56<02:58,  1.29s/it]
Epoch 41, training loss 0.126:  25%|██▍       | 45/182 [00:57<02:54,  1.28s/it]
Epoch 41, training loss 0.130:  25%|██▍       | 45/182 [00:58<02:56,  1.29s/it]
Epoch 41, training loss 0.130:  25%|██▌       | 46/182 [00:58<02:53,  1.27s/it]
Epoch 41, training loss 0.127:  25%|██▌       | 46/182 [00:59<02:55,  1.29s/it]
Epoch 41, training loss 0.127:  26%|██▌       | 47/182 [00:59<02:51,  1.27s/it]
Epoch 41, training loss 0.128:  26%|██▌       | 47/182 [01:00<02:53,  1.28s/it]
Epoch 41, training loss 0.128:  26%|██▋       | 48/182 [01:00<02:49,  1.27s/it]
Epoch 41, training loss 0.131:  26%|██▋       | 48/182 [01:01<02:51,  1.28s/it]
Epoch 41, training loss 0.131:  27%|██▋       | 49/182 [01:02<02:48,  1.27s/it]
Epoch 41, training loss 0.130:  27%|██▋       | 49/182 [01:02<02:50,  1.28s/it]
Epoch 41, training loss 0.130:  27%|██▋       | 50/182 [01:03<02:46,  1.26s/it]
Epoch 41, training loss 0.129:  27%|██▋       | 50/182 [01:03<02:48,  1.28s/it]
Epoch 41, training loss 0.129:  28%|██▊       | 51/182 [01:04<02:45,  1.26s/it]
Epoch 41, training loss 0.132:  28%|██▊       | 51/182 [01:05<02:47,  1.28s/it]
Epoch 41, training loss 0.132:  29%|██▊       | 52/182 [01:05<02:43,  1.26s/it]
Epoch 41, training loss 0.131:  29%|██▊       | 52/182 [01:06<02:45,  1.27s/it]
Epoch 41, training loss 0.131:  29%|██▉       | 53/182 [01:06<02:42,  1.26s/it]
Epoch 41, training loss 0.129:  29%|██▉       | 53/182 [01:07<02:44,  1.27s/it]
Epoch 41, training loss 0.129:  30%|██▉       | 54/182 [01:07<02:41,  1.26s/it]
Epoch 41, training loss 0.131:  30%|██▉       | 54/182 [01:08<02:42,  1.27s/it]
Epoch 41, training loss 0.131:  30%|███       | 55/182 [01:09<02:39,  1.26s/it]
Epoch 41, training loss 0.131:  30%|███       | 55/182 [01:09<02:40,  1.27s/it]
Epoch 41, training loss 0.131:  31%|███       | 56/182 [01:10<02:37,  1.25s/it]
Epoch 41, training loss 0.131:  31%|███       | 56/182 [01:10<02:39,  1.27s/it]
Epoch 41, training loss 0.131:  31%|███▏      | 57/182 [01:11<02:36,  1.25s/it]
Epoch 41, training loss 0.130:  31%|███▏      | 57/182 [01:12<02:38,  1.27s/it]
Epoch 41, training loss 0.130:  32%|███▏      | 58/182 [01:12<02:35,  1.25s/it]
Epoch 41, training loss 0.129:  32%|███▏      | 58/182 [01:13<02:36,  1.26s/it]
Epoch 41, training loss 0.129:  32%|███▏      | 59/182 [01:13<02:33,  1.25s/it]
Epoch 41, training loss 0.128:  32%|███▏      | 59/182 [01:14<02:35,  1.26s/it]
Epoch 41, training loss 0.128:  33%|███▎      | 60/182 [01:15<02:32,  1.25s/it]
Epoch 41, training loss 0.127:  33%|███▎      | 60/182 [01:15<02:33,  1.26s/it]
Epoch 41, training loss 0.127:  34%|███▎      | 61/182 [01:16<02:31,  1.25s/it]
Epoch 41, training loss 0.127:  34%|███▎      | 61/182 [01:16<02:32,  1.26s/it]
Epoch 41, training loss 0.127:  34%|███▍      | 62/182 [01:17<02:29,  1.25s/it]
Epoch 41, training loss 0.125:  34%|███▍      | 62/182 [01:17<02:30,  1.26s/it]
Epoch 41, training loss 0.125:  35%|███▍      | 63/182 [01:18<02:28,  1.24s/it]
Epoch 41, training loss 0.125:  35%|███▍      | 63/182 [01:19<02:29,  1.25s/it]
Epoch 41, training loss 0.125:  35%|███▌      | 64/182 [01:19<02:26,  1.24s/it]
Epoch 41, training loss 0.126:  35%|███▌      | 64/182 [01:20<02:27,  1.25s/it]
Epoch 41, training loss 0.126:  36%|███▌      | 65/182 [01:20<02:25,  1.24s/it]
Epoch 41, training loss 0.129:  36%|███▌      | 65/182 [01:21<02:26,  1.25s/it]
Epoch 41, training loss 0.129:  36%|███▋      | 66/182 [01:21<02:24,  1.24s/it]
Epoch 41, training loss 0.132:  36%|███▋      | 66/182 [01:22<02:25,  1.25s/it]
Epoch 41, training loss 0.132:  37%|███▋      | 67/182 [01:23<02:22,  1.24s/it]
Epoch 41, training loss 0.143:  37%|███▋      | 67/182 [01:23<02:23,  1.25s/it]
Epoch 41, training loss 0.143:  37%|███▋      | 68/182 [01:24<02:21,  1.24s/it]
Epoch 41, training loss 0.143:  37%|███▋      | 68/182 [01:24<02:22,  1.25s/it]
Epoch 41, training loss 0.143:  38%|███▊      | 69/182 [01:25<02:19,  1.24s/it]
Epoch 41, training loss 0.143:  38%|███▊      | 69/182 [01:26<02:21,  1.25s/it]
Epoch 41, training loss 0.143:  38%|███▊      | 70/182 [01:26<02:18,  1.24s/it]
Epoch 41, training loss 0.142:  38%|███▊      | 70/182 [01:27<02:19,  1.25s/it]
Epoch 41, training loss 0.142:  39%|███▉      | 71/182 [01:27<02:17,  1.24s/it]
Epoch 41, training loss 0.149:  39%|███▉      | 71/182 [01:28<02:18,  1.25s/it]
Epoch 41, training loss 0.149:  40%|███▉      | 72/182 [01:29<02:16,  1.24s/it]
Epoch 41, training loss 0.148:  40%|███▉      | 72/182 [01:29<02:17,  1.25s/it]
Epoch 41, training loss 0.148:  40%|████      | 73/182 [01:30<02:14,  1.24s/it]
Epoch 41, training loss 0.146:  40%|████      | 73/182 [01:30<02:15,  1.25s/it]
Epoch 41, training loss 0.146:  41%|████      | 74/182 [01:31<02:13,  1.24s/it]
Epoch 41, training loss 0.145:  41%|████      | 74/182 [01:32<02:14,  1.24s/it]
Epoch 41, training loss 0.145:  41%|████      | 75/182 [01:32<02:12,  1.23s/it]
Epoch 41, training loss 0.148:  41%|████      | 75/182 [01:33<02:13,  1.24s/it]
Epoch 41, training loss 0.148:  42%|████▏     | 76/182 [01:33<02:10,  1.23s/it]
Epoch 41, training loss 0.146:  42%|████▏     | 76/182 [01:34<02:11,  1.24s/it]
Epoch 41, training loss 0.146:  42%|████▏     | 77/182 [01:34<02:09,  1.23s/it]
Epoch 41, training loss 0.145:  42%|████▏     | 77/182 [01:35<02:10,  1.24s/it]
Epoch 41, training loss 0.145:  43%|████▎     | 78/182 [01:36<02:08,  1.23s/it]
Epoch 41, training loss 0.144:  43%|████▎     | 78/182 [01:36<02:08,  1.24s/it]
Epoch 41, training loss 0.144:  43%|████▎     | 79/182 [01:37<02:06,  1.23s/it]
Epoch 41, training loss 0.143:  43%|████▎     | 79/182 [01:37<02:07,  1.24s/it]
Epoch 41, training loss 0.143:  44%|████▍     | 80/182 [01:38<02:05,  1.23s/it]
Epoch 41, training loss 0.141:  44%|████▍     | 80/182 [01:39<02:06,  1.24s/it]
Epoch 41, training loss 0.141:  45%|████▍     | 81/182 [01:39<02:04,  1.23s/it]
Epoch 41, training loss 0.142:  45%|████▍     | 81/182 [01:40<02:05,  1.24s/it]
Epoch 41, training loss 0.142:  45%|████▌     | 82/182 [01:40<02:02,  1.23s/it]
Epoch 41, training loss 0.142:  45%|████▌     | 82/182 [01:41<02:03,  1.24s/it]
Epoch 41, training loss 0.142:  46%|████▌     | 83/182 [01:41<02:01,  1.23s/it]
Epoch 41, training loss 0.141:  46%|████▌     | 83/182 [01:42<02:02,  1.24s/it]
Epoch 41, training loss 0.141:  46%|████▌     | 84/182 [01:43<02:00,  1.23s/it]
Epoch 41, training loss 0.140:  46%|████▌     | 84/182 [01:43<02:00,  1.23s/it]
Epoch 41, training loss 0.140:  47%|████▋     | 85/182 [01:44<01:58,  1.23s/it]
Epoch 41, training loss 0.143:  47%|████▋     | 85/182 [01:44<01:59,  1.23s/it]
Epoch 41, training loss 0.143:  47%|████▋     | 86/182 [01:45<01:57,  1.23s/it]
Epoch 41, training loss 0.142:  47%|████▋     | 86/182 [01:46<01:58,  1.23s/it]
Epoch 41, training loss 0.142:  48%|████▊     | 87/182 [01:46<01:56,  1.23s/it]
Epoch 41, training loss 0.142:  48%|████▊     | 87/182 [01:47<01:57,  1.23s/it]
Epoch 41, training loss 0.142:  48%|████▊     | 88/182 [01:47<01:55,  1.22s/it]
Epoch 41, training loss 0.141:  48%|████▊     | 88/182 [01:48<01:55,  1.23s/it]
Epoch 41, training loss 0.141:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 41, training loss 0.140:  49%|████▉     | 89/182 [01:49<01:54,  1.23s/it]
Epoch 41, training loss 0.140:  49%|████▉     | 90/182 [01:50<01:52,  1.22s/it]
Epoch 41, training loss 0.138:  49%|████▉     | 90/182 [01:50<01:53,  1.23s/it]
Epoch 41, training loss 0.138:  50%|█████     | 91/182 [01:51<01:51,  1.22s/it]
Epoch 41, training loss 0.138:  50%|█████     | 91/182 [01:51<01:51,  1.23s/it]
Epoch 41, training loss 0.138:  51%|█████     | 92/182 [01:52<01:49,  1.22s/it]
Epoch 41, training loss 0.139:  51%|█████     | 92/182 [01:53<01:50,  1.23s/it]
Epoch 41, training loss 0.139:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 41, training loss 0.140:  51%|█████     | 93/182 [01:54<01:49,  1.23s/it]
Epoch 41, training loss 0.140:  52%|█████▏    | 94/182 [01:54<01:47,  1.22s/it]
Epoch 41, training loss 0.139:  52%|█████▏    | 94/182 [01:55<01:47,  1.23s/it]
Epoch 41, training loss 0.139:  52%|█████▏    | 95/182 [01:55<01:46,  1.22s/it]
Epoch 41, training loss 0.139:  52%|█████▏    | 95/182 [01:56<01:46,  1.23s/it]
Epoch 41, training loss 0.139:  53%|█████▎    | 96/182 [01:56<01:44,  1.22s/it]
Epoch 41, training loss 0.139:  53%|█████▎    | 96/182 [01:57<01:45,  1.23s/it]
Epoch 41, training loss 0.139:  53%|█████▎    | 97/182 [01:58<01:43,  1.22s/it]
Epoch 41, training loss 0.138:  53%|█████▎    | 97/182 [01:58<01:44,  1.23s/it]
Epoch 41, training loss 0.138:  54%|█████▍    | 98/182 [01:59<01:42,  1.22s/it]
Epoch 41, training loss 0.138:  54%|█████▍    | 98/182 [02:00<01:42,  1.23s/it]
Epoch 41, training loss 0.138:  54%|█████▍    | 99/182 [02:00<01:41,  1.22s/it]
Epoch 41, training loss 0.137:  54%|█████▍    | 99/182 [02:01<01:41,  1.22s/it]
Epoch 41, training loss 0.137:  55%|█████▍    | 100/182 [02:01<01:39,  1.22s/it]
Epoch 41, training loss 0.136:  55%|█████▍    | 100/182 [02:02<01:40,  1.22s/it]
Epoch 41, training loss 0.136:  55%|█████▌    | 101/182 [02:02<01:38,  1.22s/it]
Epoch 41, training loss 0.136:  55%|█████▌    | 101/182 [02:03<01:39,  1.22s/it]
Epoch 41, training loss 0.136:  56%|█████▌    | 102/182 [02:03<01:37,  1.22s/it]
Epoch 41, training loss 0.135:  56%|█████▌    | 102/182 [02:04<01:37,  1.22s/it]
Epoch 41, training loss 0.135:  57%|█████▋    | 103/182 [02:05<01:35,  1.21s/it]
Epoch 41, training loss 0.134:  57%|█████▋    | 103/182 [02:05<01:36,  1.22s/it]
Epoch 41, training loss 0.134:  57%|█████▋    | 104/182 [02:06<01:34,  1.22s/it]
Epoch 41, training loss 0.133:  57%|█████▋    | 104/182 [02:07<01:35,  1.22s/it]
Epoch 41, training loss 0.133:  58%|█████▊    | 105/182 [02:07<01:33,  1.21s/it]
Epoch 41, training loss 0.132:  58%|█████▊    | 105/182 [02:08<01:34,  1.22s/it]
Epoch 41, training loss 0.132:  58%|█████▊    | 106/182 [02:08<01:32,  1.21s/it]
Epoch 41, training loss 0.131:  58%|█████▊    | 106/182 [02:09<01:32,  1.22s/it]
Epoch 41, training loss 0.131:  59%|█████▉    | 107/182 [02:09<01:31,  1.21s/it]
Epoch 41, training loss 0.133:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 41, training loss 0.133:  59%|█████▉    | 108/182 [02:11<01:29,  1.21s/it]
Epoch 41, training loss 0.133:  59%|█████▉    | 108/182 [02:11<01:30,  1.22s/it]
Epoch 41, training loss 0.133:  60%|█████▉    | 109/182 [02:12<01:28,  1.21s/it]
Epoch 41, training loss 0.134:  60%|█████▉    | 109/182 [02:12<01:29,  1.22s/it]
Epoch 41, training loss 0.134:  60%|██████    | 110/182 [02:13<01:27,  1.21s/it]
Epoch 41, training loss 0.133:  60%|██████    | 110/182 [02:14<01:27,  1.22s/it]
Epoch 41, training loss 0.133:  61%|██████    | 111/182 [02:14<01:26,  1.21s/it]
Epoch 41, training loss 0.132:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 41, training loss 0.132:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 41, training loss 0.133:  62%|██████▏   | 112/182 [02:16<01:25,  1.22s/it]
Epoch 41, training loss 0.133:  62%|██████▏   | 113/182 [02:16<01:23,  1.21s/it]
Epoch 41, training loss 0.133:  62%|██████▏   | 113/182 [02:17<01:23,  1.22s/it]
Epoch 41, training loss 0.133:  63%|██████▎   | 114/182 [02:17<01:22,  1.21s/it]
Epoch 41, training loss 0.133:  63%|██████▎   | 114/182 [02:18<01:22,  1.22s/it]
Epoch 41, training loss 0.133:  63%|██████▎   | 115/182 [02:19<01:21,  1.21s/it]
Epoch 41, training loss 0.132:  63%|██████▎   | 115/182 [02:19<01:21,  1.22s/it]
Epoch 41, training loss 0.132:  64%|██████▎   | 116/182 [02:20<01:19,  1.21s/it]
Epoch 41, training loss 0.133:  64%|██████▎   | 116/182 [02:21<01:20,  1.22s/it]
Epoch 41, training loss 0.133:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 41, training loss 0.133:  64%|██████▍   | 117/182 [02:22<01:18,  1.22s/it]
Epoch 41, training loss 0.133:  65%|██████▍   | 118/182 [02:22<01:17,  1.21s/it]
Epoch 41, training loss 0.137:  65%|██████▍   | 118/182 [02:23<01:17,  1.22s/it]
Epoch 41, training loss 0.137:  65%|██████▌   | 119/182 [02:23<01:16,  1.21s/it]
Epoch 41, training loss 0.136:  65%|██████▌   | 119/182 [02:24<01:16,  1.21s/it]
Epoch 41, training loss 0.136:  66%|██████▌   | 120/182 [02:25<01:14,  1.21s/it]
Epoch 41, training loss 0.136:  66%|██████▌   | 120/182 [02:25<01:15,  1.21s/it]
Epoch 41, training loss 0.136:  66%|██████▋   | 121/182 [02:26<01:13,  1.21s/it]
Epoch 41, training loss 0.135:  66%|██████▋   | 121/182 [02:26<01:14,  1.21s/it]
Epoch 41, training loss 0.135:  67%|██████▋   | 122/182 [02:27<01:12,  1.21s/it]
Epoch 41, training loss 0.135:  67%|██████▋   | 122/182 [02:28<01:12,  1.21s/it]
Epoch 41, training loss 0.135:  68%|██████▊   | 123/182 [02:28<01:11,  1.21s/it]
Epoch 41, training loss 0.134:  68%|██████▊   | 123/182 [02:29<01:11,  1.21s/it]
Epoch 41, training loss 0.134:  68%|██████▊   | 124/182 [02:29<01:10,  1.21s/it]
Epoch 41, training loss 0.134:  68%|██████▊   | 124/182 [02:30<01:10,  1.21s/it]
Epoch 41, training loss 0.134:  69%|██████▊   | 125/182 [02:31<01:08,  1.21s/it]
Epoch 41, training loss 0.133:  69%|██████▊   | 125/182 [02:31<01:09,  1.21s/it]
Epoch 41, training loss 0.133:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 41, training loss 0.132:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 41, training loss 0.132:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 41, training loss 0.133:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 41, training loss 0.133:  70%|███████   | 128/182 [02:34<01:05,  1.21s/it]
Epoch 41, training loss 0.133:  70%|███████   | 128/182 [02:35<01:05,  1.21s/it]
Epoch 41, training loss 0.133:  71%|███████   | 129/182 [02:35<01:03,  1.21s/it]
Epoch 41, training loss 0.132:  71%|███████   | 129/182 [02:36<01:04,  1.21s/it]
Epoch 41, training loss 0.132:  71%|███████▏  | 130/182 [02:36<01:02,  1.21s/it]
Epoch 41, training loss 0.133:  71%|███████▏  | 130/182 [02:37<01:02,  1.21s/it]
Epoch 41, training loss 0.133:  72%|███████▏  | 131/182 [02:37<01:01,  1.20s/it]
Epoch 41, training loss 0.133:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 41, training loss 0.133:  73%|███████▎  | 132/182 [02:39<01:00,  1.20s/it]
Epoch 41, training loss 0.132:  73%|███████▎  | 132/182 [02:39<01:00,  1.21s/it]
Epoch 41, training loss 0.132:  73%|███████▎  | 133/182 [02:40<00:59,  1.21s/it]
Epoch 41, training loss 0.132:  73%|███████▎  | 133/182 [02:40<00:59,  1.21s/it]
Epoch 41, training loss 0.132:  74%|███████▎  | 134/182 [02:41<00:57,  1.20s/it]
Epoch 41, training loss 0.131:  74%|███████▎  | 134/182 [02:42<00:58,  1.21s/it]
Epoch 41, training loss 0.131:  74%|███████▍  | 135/182 [02:42<00:56,  1.20s/it]
Epoch 41, training loss 0.131:  74%|███████▍  | 135/182 [02:43<00:56,  1.21s/it]
Epoch 41, training loss 0.131:  75%|███████▍  | 136/182 [02:43<00:55,  1.20s/it]
Epoch 41, training loss 0.131:  75%|███████▍  | 136/182 [02:44<00:55,  1.21s/it]
Epoch 41, training loss 0.131:  75%|███████▌  | 137/182 [02:44<00:54,  1.20s/it]
Epoch 41, training loss 0.131:  75%|███████▌  | 137/182 [02:45<00:54,  1.21s/it]
Epoch 41, training loss 0.131:  76%|███████▌  | 138/182 [02:46<00:52,  1.20s/it]
Epoch 41, training loss 0.132:  76%|███████▌  | 138/182 [02:46<00:53,  1.21s/it]
Epoch 41, training loss 0.132:  76%|███████▋  | 139/182 [02:47<00:51,  1.20s/it]
Epoch 41, training loss 0.132:  76%|███████▋  | 139/182 [02:48<00:52,  1.21s/it]
Epoch 41, training loss 0.132:  77%|███████▋  | 140/182 [02:48<00:50,  1.20s/it]
Epoch 41, training loss 0.132:  77%|███████▋  | 140/182 [02:49<00:50,  1.21s/it]
Epoch 41, training loss 0.132:  77%|███████▋  | 141/182 [02:49<00:49,  1.20s/it]
Epoch 41, training loss 0.132:  77%|███████▋  | 141/182 [02:50<00:49,  1.21s/it]
Epoch 41, training loss 0.132:  78%|███████▊  | 142/182 [02:50<00:48,  1.20s/it]
Epoch 41, training loss 0.131:  78%|███████▊  | 142/182 [02:51<00:48,  1.21s/it]
Epoch 41, training loss 0.131:  79%|███████▊  | 143/182 [02:52<00:46,  1.20s/it]
Epoch 41, training loss 0.131:  79%|███████▊  | 143/182 [02:52<00:47,  1.21s/it]
Epoch 41, training loss 0.131:  79%|███████▉  | 144/182 [02:53<00:45,  1.20s/it]
Epoch 41, training loss 0.131:  79%|███████▉  | 144/182 [02:53<00:45,  1.21s/it]
Epoch 41, training loss 0.131:  80%|███████▉  | 145/182 [02:54<00:44,  1.20s/it]
Epoch 41, training loss 0.131:  80%|███████▉  | 145/182 [02:55<00:44,  1.21s/it]
Epoch 41, training loss 0.131:  80%|████████  | 146/182 [02:55<00:43,  1.20s/it]
Epoch 41, training loss 0.131:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 41, training loss 0.131:  81%|████████  | 147/182 [02:56<00:42,  1.20s/it]
Epoch 41, training loss 0.130:  81%|████████  | 147/182 [02:57<00:42,  1.21s/it]
Epoch 41, training loss 0.130:  81%|████████▏ | 148/182 [02:57<00:40,  1.20s/it]
Epoch 41, training loss 0.131:  81%|████████▏ | 148/182 [02:58<00:41,  1.21s/it]
Epoch 41, training loss 0.131:  82%|████████▏ | 149/182 [02:59<00:39,  1.20s/it]
Epoch 41, training loss 0.131:  82%|████████▏ | 149/182 [02:59<00:39,  1.21s/it]
Epoch 41, training loss 0.131:  82%|████████▏ | 150/182 [03:00<00:38,  1.20s/it]
Epoch 41, training loss 0.130:  82%|████████▏ | 150/182 [03:00<00:38,  1.21s/it]
Epoch 41, training loss 0.130:  83%|████████▎ | 151/182 [03:01<00:37,  1.20s/it]
Epoch 41, training loss 0.130:  83%|████████▎ | 151/182 [03:01<00:37,  1.21s/it]
Epoch 41, training loss 0.130:  84%|████████▎ | 152/182 [03:02<00:36,  1.20s/it]
Epoch 41, training loss 0.130:  84%|████████▎ | 152/182 [03:03<00:36,  1.21s/it]
Epoch 41, training loss 0.130:  84%|████████▍ | 153/182 [03:03<00:34,  1.20s/it]
Epoch 41, training loss 0.130:  84%|████████▍ | 153/182 [03:04<00:34,  1.20s/it]
Epoch 41, training loss 0.130:  85%|████████▍ | 154/182 [03:04<00:33,  1.20s/it]
Epoch 41, training loss 0.130:  85%|████████▍ | 154/182 [03:05<00:33,  1.21s/it]
Epoch 41, training loss 0.130:  85%|████████▌ | 155/182 [03:06<00:32,  1.20s/it]
Epoch 41, training loss 0.129:  85%|████████▌ | 155/182 [03:06<00:32,  1.20s/it]
Epoch 41, training loss 0.129:  86%|████████▌ | 156/182 [03:07<00:31,  1.20s/it]
Epoch 41, training loss 0.129:  86%|████████▌ | 156/182 [03:07<00:31,  1.20s/it]
Epoch 41, training loss 0.129:  86%|████████▋ | 157/182 [03:08<00:30,  1.20s/it]
Epoch 41, training loss 0.128:  86%|████████▋ | 157/182 [03:09<00:30,  1.21s/it]
Epoch 41, training loss 0.128:  87%|████████▋ | 158/182 [03:09<00:28,  1.20s/it]
Epoch 41, training loss 0.129:  87%|████████▋ | 158/182 [03:10<00:28,  1.21s/it]
Epoch 41, training loss 0.129:  87%|████████▋ | 159/182 [03:10<00:27,  1.20s/it]
Epoch 41, training loss 0.128:  87%|████████▋ | 159/182 [03:11<00:27,  1.21s/it]
Epoch 41, training loss 0.128:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 41, training loss 0.128:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 41, training loss 0.128:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 41, training loss 0.128:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 41, training loss 0.128:  89%|████████▉ | 162/182 [03:14<00:24,  1.20s/it]
Epoch 41, training loss 0.128:  89%|████████▉ | 162/182 [03:15<00:24,  1.20s/it]
Epoch 41, training loss 0.128:  90%|████████▉ | 163/182 [03:15<00:22,  1.20s/it]
Epoch 41, training loss 0.128:  90%|████████▉ | 163/182 [03:16<00:22,  1.20s/it]
Epoch 41, training loss 0.128:  90%|█████████ | 164/182 [03:16<00:21,  1.20s/it]
Epoch 41, training loss 0.128:  90%|█████████ | 164/182 [03:17<00:21,  1.20s/it]
Epoch 41, training loss 0.128:  91%|█████████ | 165/182 [03:18<00:20,  1.20s/it]
Epoch 41, training loss 0.129:  91%|█████████ | 165/182 [03:18<00:20,  1.20s/it]
Epoch 41, training loss 0.129:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 41, training loss 0.129:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 41, training loss 0.129:  92%|█████████▏| 167/182 [03:20<00:17,  1.20s/it]
Epoch 41, training loss 0.130:  92%|█████████▏| 167/182 [03:20<00:18,  1.20s/it]
Epoch 41, training loss 0.130:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 41, training loss 0.129:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 41, training loss 0.129:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 41, training loss 0.130:  93%|█████████▎| 169/182 [03:23<00:15,  1.20s/it]
Epoch 41, training loss 0.130:  93%|█████████▎| 170/182 [03:23<00:14,  1.20s/it]
Epoch 41, training loss 0.129:  93%|█████████▎| 170/182 [03:24<00:14,  1.20s/it]
Epoch 41, training loss 0.129:  94%|█████████▍| 171/182 [03:24<00:13,  1.20s/it]
Epoch 41, training loss 0.130:  94%|█████████▍| 171/182 [03:25<00:13,  1.20s/it]
Epoch 41, training loss 0.130:  95%|█████████▍| 172/182 [03:25<00:11,  1.20s/it]
Epoch 41, training loss 0.130:  95%|█████████▍| 172/182 [03:26<00:12,  1.20s/it]
Epoch 41, training loss 0.130:  95%|█████████▌| 173/182 [03:26<00:10,  1.20s/it]
Epoch 41, training loss 0.129:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 41, training loss 0.129:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 41, training loss 0.129:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 41, training loss 0.129:  96%|█████████▌| 175/182 [03:29<00:08,  1.20s/it]
Epoch 41, training loss 0.128:  96%|█████████▌| 175/182 [03:30<00:08,  1.20s/it]
Epoch 41, training loss 0.128:  97%|█████████▋| 176/182 [03:30<00:07,  1.20s/it]
Epoch 41, training loss 0.128:  97%|█████████▋| 176/182 [03:31<00:07,  1.20s/it]
Epoch 41, training loss 0.128:  97%|█████████▋| 177/182 [03:31<00:05,  1.20s/it]
Epoch 41, training loss 0.127:  97%|█████████▋| 177/182 [03:32<00:06,  1.20s/it]
Epoch 41, training loss 0.127:  98%|█████████▊| 178/182 [03:32<00:04,  1.20s/it]
Epoch 41, training loss 0.128:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 41, training loss 0.128:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 41, training loss 0.127:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 41, training loss 0.127:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 41, training loss 0.127:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 41, training loss 0.127:  99%|█████████▉| 181/182 [03:36<00:01,  1.20s/it]
Epoch 41, training loss 0.127:  99%|█████████▉| 181/182 [03:36<00:01,  1.20s/it]
Epoch 41, training loss 0.127: 100%|██████████| 182/182 [03:37<00:00,  1.19s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.524:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.524:   1%|          | 1/90 [00:04<06:42,  4.52s/it]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.679:   1%|          | 1/90 [00:04<07:17,  4.91s/it]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.679:   2%|▏         | 2/90 [00:04<03:36,  2.46s/it]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.795:   2%|▏         | 2/90 [00:05<03:52,  2.65s/it]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.795:   3%|▎         | 3/90 [00:05<02:33,  1.76s/it]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.845:   3%|▎         | 3/90 [00:05<02:45,  1.90s/it]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.845:   4%|▍         | 4/90 [00:05<02:02,  1.43s/it]
Epoch 41, validation pixAcc: 0.978, mIoU: 0.898:   4%|▍         | 4/90 [00:06<02:11,  1.53s/it]
Epoch 41, validation pixAcc: 0.978, mIoU: 0.898:   6%|▌         | 5/90 [00:06<01:44,  1.23s/it]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.899:   6%|▌         | 5/90 [00:06<01:50,  1.31s/it]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.899:   7%|▋         | 6/90 [00:06<01:31,  1.09s/it]
Epoch 41, validation pixAcc: 0.978, mIoU: 0.895:   7%|▋         | 6/90 [00:06<01:37,  1.16s/it]
Epoch 41, validation pixAcc: 0.978, mIoU: 0.895:   8%|▊         | 7/90 [00:06<01:22,  1.01it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.898:   8%|▊         | 7/90 [00:07<01:27,  1.06s/it]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.898:   9%|▉         | 8/90 [00:07<01:15,  1.08it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.901:   9%|▉         | 8/90 [00:07<01:20,  1.02it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.901:  10%|█         | 9/90 [00:07<01:10,  1.15it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.908:  10%|█         | 9/90 [00:08<01:14,  1.09it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.908:  11%|█         | 10/90 [00:08<01:06,  1.21it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.907:  11%|█         | 10/90 [00:08<01:09,  1.15it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.907:  12%|█▏        | 11/90 [00:08<01:02,  1.26it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.906:  12%|█▏        | 11/90 [00:09<01:05,  1.20it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.906:  13%|█▎        | 12/90 [00:09<00:59,  1.31it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.910:  13%|█▎        | 12/90 [00:09<01:02,  1.25it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.910:  14%|█▍        | 13/90 [00:09<00:56,  1.36it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.914:  14%|█▍        | 13/90 [00:10<00:59,  1.30it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.914:  16%|█▌        | 14/90 [00:10<00:54,  1.40it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.916:  16%|█▌        | 14/90 [00:10<00:56,  1.34it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.916:  17%|█▋        | 15/90 [00:10<00:52,  1.43it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.919:  17%|█▋        | 15/90 [00:10<00:54,  1.37it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.919:  18%|█▊        | 16/90 [00:10<00:50,  1.46it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.918:  18%|█▊        | 16/90 [00:11<00:52,  1.40it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.918:  19%|█▉        | 17/90 [00:11<00:48,  1.49it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.911:  19%|█▉        | 17/90 [00:11<00:50,  1.44it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.911:  20%|██        | 18/90 [00:11<00:47,  1.52it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.910:  20%|██        | 18/90 [00:12<00:48,  1.47it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.910:  21%|██        | 19/90 [00:12<00:45,  1.55it/s]
Epoch 41, validation pixAcc: 0.978, mIoU: 0.908:  21%|██        | 19/90 [00:12<00:47,  1.50it/s]
Epoch 41, validation pixAcc: 0.978, mIoU: 0.908:  22%|██▏       | 20/90 [00:12<00:44,  1.58it/s]
Epoch 41, validation pixAcc: 0.978, mIoU: 0.908:  22%|██▏       | 20/90 [00:13<00:45,  1.52it/s]
Epoch 41, validation pixAcc: 0.978, mIoU: 0.908:  23%|██▎       | 21/90 [00:13<00:43,  1.60it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.909:  23%|██▎       | 21/90 [00:13<00:44,  1.55it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.909:  24%|██▍       | 22/90 [00:13<00:41,  1.62it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.911:  24%|██▍       | 22/90 [00:13<00:43,  1.57it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.911:  26%|██▌       | 23/90 [00:13<00:40,  1.64it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.909:  26%|██▌       | 23/90 [00:14<00:42,  1.59it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.909:  27%|██▋       | 24/90 [00:14<00:39,  1.66it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.911:  27%|██▋       | 24/90 [00:14<00:40,  1.61it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.911:  28%|██▊       | 25/90 [00:14<00:38,  1.68it/s]
Epoch 41, validation pixAcc: 0.978, mIoU: 0.911:  28%|██▊       | 25/90 [00:15<00:39,  1.63it/s]
Epoch 41, validation pixAcc: 0.978, mIoU: 0.911:  29%|██▉       | 26/90 [00:15<00:37,  1.70it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.913:  29%|██▉       | 26/90 [00:15<00:38,  1.66it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.913:  30%|███       | 27/90 [00:15<00:36,  1.72it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.915:  30%|███       | 27/90 [00:16<00:37,  1.67it/s]
Epoch 41, validation pixAcc: 0.979, mIoU: 0.915:  31%|███       | 28/90 [00:16<00:35,  1.73it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.915:  31%|███       | 28/90 [00:16<00:36,  1.69it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.915:  32%|███▏      | 29/90 [00:16<00:34,  1.75it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.916:  32%|███▏      | 29/90 [00:17<00:35,  1.70it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.916:  33%|███▎      | 30/90 [00:17<00:34,  1.76it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.917:  33%|███▎      | 30/90 [00:17<00:35,  1.71it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.917:  34%|███▍      | 31/90 [00:17<00:33,  1.77it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.919:  34%|███▍      | 31/90 [00:17<00:34,  1.73it/s]
Epoch 41, validation pixAcc: 0.980, mIoU: 0.919:  36%|███▌      | 32/90 [00:17<00:32,  1.78it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.919:  36%|███▌      | 32/90 [00:18<00:33,  1.74it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.919:  37%|███▋      | 33/90 [00:18<00:31,  1.79it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.919:  37%|███▋      | 33/90 [00:18<00:32,  1.75it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.919:  38%|███▊      | 34/90 [00:18<00:30,  1.81it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.919:  38%|███▊      | 34/90 [00:19<00:31,  1.77it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.919:  39%|███▉      | 35/90 [00:19<00:30,  1.82it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.919:  39%|███▉      | 35/90 [00:19<00:30,  1.78it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.919:  40%|████      | 36/90 [00:19<00:29,  1.83it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.919:  40%|████      | 36/90 [00:20<00:30,  1.79it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.919:  41%|████      | 37/90 [00:20<00:28,  1.84it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.919:  41%|████      | 37/90 [00:20<00:29,  1.80it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.919:  42%|████▏     | 38/90 [00:20<00:28,  1.85it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.920:  42%|████▏     | 38/90 [00:20<00:28,  1.81it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.920:  43%|████▎     | 39/90 [00:20<00:27,  1.86it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.921:  43%|████▎     | 39/90 [00:21<00:28,  1.82it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.921:  44%|████▍     | 40/90 [00:21<00:26,  1.87it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.921:  44%|████▍     | 40/90 [00:21<00:27,  1.83it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.921:  46%|████▌     | 41/90 [00:21<00:26,  1.88it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.921:  46%|████▌     | 41/90 [00:22<00:26,  1.84it/s]
Epoch 41, validation pixAcc: 0.981, mIoU: 0.921:  47%|████▋     | 42/90 [00:22<00:25,  1.88it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  47%|████▋     | 42/90 [00:22<00:25,  1.85it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  48%|████▊     | 43/90 [00:22<00:24,  1.89it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  48%|████▊     | 43/90 [00:23<00:25,  1.86it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 44/90 [00:23<00:24,  1.90it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 44/90 [00:23<00:24,  1.87it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  50%|█████     | 45/90 [00:23<00:23,  1.91it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  50%|█████     | 45/90 [00:23<00:23,  1.88it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/90 [00:23<00:22,  1.92it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.923:  51%|█████     | 46/90 [00:24<00:23,  1.88it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.923:  52%|█████▏    | 47/90 [00:24<00:22,  1.93it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  52%|█████▏    | 47/90 [00:24<00:22,  1.89it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/90 [00:24<00:21,  1.93it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/90 [00:25<00:22,  1.90it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/90 [00:25<00:21,  1.94it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/90 [00:25<00:21,  1.91it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  56%|█████▌    | 50/90 [00:25<00:20,  1.95it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.923:  56%|█████▌    | 50/90 [00:26<00:20,  1.92it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.923:  57%|█████▋    | 51/90 [00:26<00:19,  1.96it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 51/90 [00:26<00:20,  1.93it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.923:  58%|█████▊    | 52/90 [00:26<00:19,  1.96it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  58%|█████▊    | 52/90 [00:26<00:19,  1.93it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.922:  59%|█████▉    | 53/90 [00:26<00:18,  1.97it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.923:  59%|█████▉    | 53/90 [00:27<00:19,  1.94it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.923:  60%|██████    | 54/90 [00:27<00:18,  1.97it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.923:  60%|██████    | 54/90 [00:27<00:18,  1.94it/s]
Epoch 41, validation pixAcc: 0.982, mIoU: 0.923:  61%|██████    | 55/90 [00:27<00:17,  1.98it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.923:  61%|██████    | 55/90 [00:28<00:17,  1.95it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.923:  62%|██████▏   | 56/90 [00:28<00:17,  1.98it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.923:  62%|██████▏   | 56/90 [00:28<00:17,  1.95it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/90 [00:28<00:16,  1.99it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/90 [00:29<00:16,  1.96it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▍   | 58/90 [00:29<00:16,  1.99it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▍   | 58/90 [00:29<00:16,  1.96it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.923:  66%|██████▌   | 59/90 [00:29<00:15,  2.00it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.924:  66%|██████▌   | 59/90 [00:29<00:15,  1.97it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.924:  67%|██████▋   | 60/90 [00:29<00:14,  2.00it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.924:  67%|██████▋   | 60/90 [00:30<00:15,  1.98it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 61/90 [00:30<00:14,  2.01it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 61/90 [00:30<00:14,  1.98it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 62/90 [00:30<00:13,  2.02it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.925:  69%|██████▉   | 62/90 [00:31<00:14,  1.99it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 63/90 [00:31<00:13,  2.02it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 63/90 [00:31<00:13,  1.99it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████   | 64/90 [00:31<00:12,  2.03it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.925:  71%|███████   | 64/90 [00:31<00:12,  2.00it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.925:  72%|███████▏  | 65/90 [00:31<00:12,  2.03it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.926:  72%|███████▏  | 65/90 [00:32<00:12,  2.01it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.926:  73%|███████▎  | 66/90 [00:32<00:11,  2.04it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.926:  73%|███████▎  | 66/90 [00:32<00:11,  2.01it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.926:  74%|███████▍  | 67/90 [00:32<00:11,  2.04it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▍  | 67/90 [00:33<00:11,  2.01it/s]
Epoch 41, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 68/90 [00:33<00:10,  2.04it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.926:  76%|███████▌  | 68/90 [00:33<00:10,  2.02it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.926:  77%|███████▋  | 69/90 [00:33<00:10,  2.05it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.926:  77%|███████▋  | 69/90 [00:34<00:10,  2.02it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.926:  78%|███████▊  | 70/90 [00:34<00:09,  2.05it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.926:  78%|███████▊  | 70/90 [00:34<00:09,  2.02it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.926:  79%|███████▉  | 71/90 [00:34<00:09,  2.05it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.926:  79%|███████▉  | 71/90 [00:35<00:09,  2.02it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.926:  80%|████████  | 72/90 [00:35<00:08,  2.05it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.926:  80%|████████  | 72/90 [00:35<00:08,  2.03it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.926:  81%|████████  | 73/90 [00:35<00:08,  2.06it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.927:  81%|████████  | 73/90 [00:35<00:08,  2.03it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.927:  82%|████████▏ | 74/90 [00:35<00:07,  2.06it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.927:  82%|████████▏ | 74/90 [00:36<00:07,  2.03it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.927:  83%|████████▎ | 75/90 [00:36<00:07,  2.06it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.927:  83%|████████▎ | 75/90 [00:36<00:07,  2.04it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.927:  84%|████████▍ | 76/90 [00:36<00:06,  2.07it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.927:  84%|████████▍ | 76/90 [00:37<00:06,  2.04it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.927:  86%|████████▌ | 77/90 [00:37<00:06,  2.07it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.927:  86%|████████▌ | 77/90 [00:37<00:06,  2.05it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.927:  87%|████████▋ | 78/90 [00:37<00:05,  2.07it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.927:  87%|████████▋ | 78/90 [00:38<00:05,  2.05it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.927:  88%|████████▊ | 79/90 [00:38<00:05,  2.08it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928:  88%|████████▊ | 79/90 [00:38<00:05,  2.05it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928:  89%|████████▉ | 80/90 [00:38<00:04,  2.08it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928:  89%|████████▉ | 80/90 [00:38<00:04,  2.06it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928:  90%|█████████ | 81/90 [00:38<00:04,  2.08it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928:  90%|█████████ | 81/90 [00:39<00:04,  2.06it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928:  91%|█████████ | 82/90 [00:39<00:03,  2.08it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.929:  91%|█████████ | 82/90 [00:39<00:03,  2.06it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.929:  92%|█████████▏| 83/90 [00:39<00:03,  2.09it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928:  92%|█████████▏| 83/90 [00:40<00:03,  2.07it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 84/90 [00:40<00:02,  2.09it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.929:  93%|█████████▎| 84/90 [00:40<00:02,  2.07it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.929:  94%|█████████▍| 85/90 [00:40<00:02,  2.09it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.929:  94%|█████████▍| 85/90 [00:41<00:02,  2.07it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.929:  96%|█████████▌| 86/90 [00:41<00:01,  2.10it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 86/90 [00:41<00:01,  2.08it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 87/90 [00:41<00:01,  2.10it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 87/90 [00:41<00:01,  2.08it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 88/90 [00:41<00:00,  2.11it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 88/90 [00:42<00:00,  2.08it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928:  99%|█████████▉| 89/90 [00:42<00:00,  2.11it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928:  99%|█████████▉| 89/90 [00:42<00:00,  2.09it/s]
Epoch 41, validation pixAcc: 0.984, mIoU: 0.928: 100%|██████████| 90/90 [00:42<00:00,  2.11it/s]

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Epoch 42, training loss 0.245:   0%|          | 0/182 [00:05<?, ?it/s]
Epoch 42, training loss 0.245:   1%|          | 1/182 [00:05<16:53,  5.60s/it]
Epoch 42, training loss 0.159:   1%|          | 1/182 [00:06<19:16,  6.39s/it]
Epoch 42, training loss 0.159:   1%|          | 2/182 [00:06<10:22,  3.46s/it]
Epoch 42, training loss 0.128:   1%|          | 2/182 [00:07<11:28,  3.82s/it]
Epoch 42, training loss 0.128:   2%|▏         | 3/182 [00:08<08:07,  2.72s/it]
Epoch 42, training loss 0.104:   2%|▏         | 3/182 [00:08<08:45,  2.94s/it]
Epoch 42, training loss 0.104:   2%|▏         | 4/182 [00:09<06:55,  2.33s/it]
Epoch 42, training loss 0.101:   2%|▏         | 4/182 [00:09<07:24,  2.50s/it]
Epoch 42, training loss 0.101:   3%|▎         | 5/182 [00:10<06:11,  2.10s/it]
Epoch 42, training loss 0.097:   3%|▎         | 5/182 [00:11<06:34,  2.23s/it]
Epoch 42, training loss 0.097:   3%|▎         | 6/182 [00:11<05:41,  1.94s/it]
Epoch 42, training loss 0.102:   3%|▎         | 6/182 [00:12<06:03,  2.07s/it]
Epoch 42, training loss 0.102:   4%|▍         | 7/182 [00:12<05:22,  1.84s/it]
Epoch 42, training loss 0.123:   4%|▍         | 7/182 [00:13<05:40,  1.94s/it]
Epoch 42, training loss 0.123:   4%|▍         | 8/182 [00:14<05:07,  1.76s/it]
Epoch 42, training loss 0.120:   4%|▍         | 8/182 [00:14<05:21,  1.85s/it]
Epoch 42, training loss 0.120:   5%|▍         | 9/182 [00:15<04:54,  1.70s/it]
Epoch 42, training loss 0.124:   5%|▍         | 9/182 [00:15<05:05,  1.76s/it]
Epoch 42, training loss 0.124:   5%|▌         | 10/182 [00:16<04:41,  1.64s/it]
Epoch 42, training loss 0.120:   5%|▌         | 10/182 [00:17<04:52,  1.70s/it]
Epoch 42, training loss 0.120:   6%|▌         | 11/182 [00:17<04:32,  1.59s/it]
Epoch 42, training loss 0.114:   6%|▌         | 11/182 [00:18<04:43,  1.66s/it]
Epoch 42, training loss 0.114:   7%|▋         | 12/182 [00:18<04:24,  1.56s/it]
Epoch 42, training loss 0.108:   7%|▋         | 12/182 [00:19<04:35,  1.62s/it]
Epoch 42, training loss 0.108:   7%|▋         | 13/182 [00:19<04:19,  1.53s/it]
Epoch 42, training loss 0.108:   7%|▋         | 13/182 [00:20<04:28,  1.59s/it]
Epoch 42, training loss 0.108:   8%|▊         | 14/182 [00:21<04:13,  1.51s/it]
Epoch 42, training loss 0.108:   8%|▊         | 14/182 [00:21<04:22,  1.56s/it]
Epoch 42, training loss 0.108:   8%|▊         | 15/182 [00:22<04:08,  1.49s/it]
Epoch 42, training loss 0.108:   8%|▊         | 15/182 [00:22<04:15,  1.53s/it]
Epoch 42, training loss 0.108:   9%|▉         | 16/182 [00:23<04:03,  1.47s/it]
Epoch 42, training loss 0.104:   9%|▉         | 16/182 [00:24<04:09,  1.50s/it]
Epoch 42, training loss 0.104:   9%|▉         | 17/182 [00:24<03:58,  1.44s/it]
Epoch 42, training loss 0.106:   9%|▉         | 17/182 [00:25<04:04,  1.48s/it]
Epoch 42, training loss 0.106:  10%|▉         | 18/182 [00:25<03:54,  1.43s/it]
Epoch 42, training loss 0.110:  10%|▉         | 18/182 [00:26<04:00,  1.47s/it]
Epoch 42, training loss 0.110:  10%|█         | 19/182 [00:26<03:51,  1.42s/it]
Epoch 42, training loss 0.119:  10%|█         | 19/182 [00:27<03:56,  1.45s/it]
Epoch 42, training loss 0.119:  11%|█         | 20/182 [00:28<03:47,  1.40s/it]
Epoch 42, training loss 0.123:  11%|█         | 20/182 [00:28<03:53,  1.44s/it]
Epoch 42, training loss 0.123:  12%|█▏        | 21/182 [00:29<03:44,  1.40s/it]
Epoch 42, training loss 0.123:  12%|█▏        | 21/182 [00:29<03:49,  1.43s/it]
Epoch 42, training loss 0.123:  12%|█▏        | 22/182 [00:30<03:41,  1.38s/it]
Epoch 42, training loss 0.120:  12%|█▏        | 22/182 [00:31<03:46,  1.41s/it]
Epoch 42, training loss 0.120:  13%|█▎        | 23/182 [00:31<03:38,  1.37s/it]
Epoch 42, training loss 0.119:  13%|█▎        | 23/182 [00:32<03:43,  1.40s/it]
Epoch 42, training loss 0.119:  13%|█▎        | 24/182 [00:32<03:35,  1.37s/it]
Epoch 42, training loss 0.115:  13%|█▎        | 24/182 [00:33<03:39,  1.39s/it]
Epoch 42, training loss 0.115:  14%|█▎        | 25/182 [00:33<03:32,  1.36s/it]
Epoch 42, training loss 0.132:  14%|█▎        | 25/182 [00:34<03:36,  1.38s/it]
Epoch 42, training loss 0.132:  14%|█▍        | 26/182 [00:34<03:29,  1.34s/it]
Epoch 42, training loss 0.133:  14%|█▍        | 26/182 [00:35<03:33,  1.37s/it]
Epoch 42, training loss 0.133:  15%|█▍        | 27/182 [00:36<03:27,  1.34s/it]
Epoch 42, training loss 0.130:  15%|█▍        | 27/182 [00:36<03:30,  1.36s/it]
Epoch 42, training loss 0.130:  15%|█▌        | 28/182 [00:37<03:24,  1.33s/it]
Epoch 42, training loss 0.130:  15%|█▌        | 28/182 [00:37<03:28,  1.35s/it]
Epoch 42, training loss 0.130:  16%|█▌        | 29/182 [00:38<03:22,  1.32s/it]
Epoch 42, training loss 0.134:  16%|█▌        | 29/182 [00:39<03:26,  1.35s/it]
Epoch 42, training loss 0.134:  16%|█▋        | 30/182 [00:39<03:21,  1.32s/it]
Epoch 42, training loss 0.131:  16%|█▋        | 30/182 [00:40<03:24,  1.34s/it]
Epoch 42, training loss 0.131:  17%|█▋        | 31/182 [00:40<03:18,  1.32s/it]
Epoch 42, training loss 0.129:  17%|█▋        | 31/182 [00:41<03:22,  1.34s/it]
Epoch 42, training loss 0.129:  18%|█▊        | 32/182 [00:41<03:16,  1.31s/it]
Epoch 42, training loss 0.136:  18%|█▊        | 32/182 [00:42<03:19,  1.33s/it]
Epoch 42, training loss 0.136:  18%|█▊        | 33/182 [00:43<03:14,  1.31s/it]
Epoch 42, training loss 0.140:  18%|█▊        | 33/182 [00:43<03:17,  1.32s/it]
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Epoch 42, training loss 0.136:  22%|██▏       | 40/182 [00:51<03:02,  1.28s/it]
Epoch 42, training loss 0.134:  22%|██▏       | 40/182 [00:51<03:04,  1.30s/it]
Epoch 42, training loss 0.134:  23%|██▎       | 41/182 [00:52<03:00,  1.28s/it]
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Epoch 42, training loss 0.132:  23%|██▎       | 42/182 [00:53<02:58,  1.27s/it]
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Epoch 42, training loss 0.130:  24%|██▎       | 43/182 [00:54<02:57,  1.27s/it]
Epoch 42, training loss 0.128:  24%|██▎       | 43/182 [00:55<02:59,  1.29s/it]
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Epoch 42, training loss 0.126:  24%|██▍       | 44/182 [00:56<02:57,  1.29s/it]
Epoch 42, training loss 0.126:  25%|██▍       | 45/182 [00:57<02:53,  1.27s/it]
Epoch 42, training loss 0.127:  25%|██▍       | 45/182 [00:57<02:55,  1.28s/it]
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Epoch 42, training loss 0.136:  26%|██▌       | 47/182 [00:59<02:50,  1.26s/it]
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Epoch 42, training loss 0.136:  27%|██▋       | 49/182 [01:01<02:47,  1.26s/it]
Epoch 42, training loss 0.146:  27%|██▋       | 49/182 [01:02<02:49,  1.28s/it]
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Epoch 42, training loss 0.146:  28%|██▊       | 51/182 [01:04<02:44,  1.26s/it]
Epoch 42, training loss 0.148:  28%|██▊       | 51/182 [01:04<02:46,  1.27s/it]
Epoch 42, training loss 0.148:  29%|██▊       | 52/182 [01:05<02:43,  1.26s/it]
Epoch 42, training loss 0.149:  29%|██▊       | 52/182 [01:05<02:44,  1.27s/it]
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Epoch 42, training loss 0.148:  30%|██▉       | 54/182 [01:07<02:40,  1.25s/it]
Epoch 42, training loss 0.145:  30%|██▉       | 54/182 [01:08<02:41,  1.27s/it]
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Epoch 42, training loss 0.145:  30%|███       | 55/182 [01:09<02:40,  1.26s/it]
Epoch 42, training loss 0.145:  31%|███       | 56/182 [01:09<02:37,  1.25s/it]
Epoch 42, training loss 0.143:  31%|███       | 56/182 [01:10<02:38,  1.26s/it]
Epoch 42, training loss 0.143:  31%|███▏      | 57/182 [01:11<02:35,  1.25s/it]
Epoch 42, training loss 0.141:  31%|███▏      | 57/182 [01:11<02:37,  1.26s/it]
Epoch 42, training loss 0.141:  32%|███▏      | 58/182 [01:12<02:34,  1.25s/it]
Epoch 42, training loss 0.140:  32%|███▏      | 58/182 [01:12<02:35,  1.26s/it]
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Epoch 42, training loss 0.138:  32%|███▏      | 59/182 [01:14<02:34,  1.25s/it]
Epoch 42, training loss 0.138:  33%|███▎      | 60/182 [01:14<02:31,  1.24s/it]
Epoch 42, training loss 0.141:  33%|███▎      | 60/182 [01:15<02:32,  1.25s/it]
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Epoch 42, training loss 0.140:  34%|███▎      | 61/182 [01:16<02:31,  1.25s/it]
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Epoch 42, training loss 0.141:  35%|███▍      | 63/182 [01:18<02:27,  1.24s/it]
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Epoch 42, training loss 0.141:  36%|███▌      | 65/182 [01:20<02:24,  1.24s/it]
Epoch 42, training loss 0.140:  36%|███▌      | 65/182 [01:20<02:25,  1.25s/it]
Epoch 42, training loss 0.140:  36%|███▋      | 66/182 [01:21<02:23,  1.23s/it]
Epoch 42, training loss 0.139:  36%|███▋      | 66/182 [01:22<02:24,  1.25s/it]
Epoch 42, training loss 0.139:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 42, training loss 0.138:  37%|███▋      | 67/182 [01:23<02:23,  1.25s/it]
Epoch 42, training loss 0.138:  37%|███▋      | 68/182 [01:23<02:20,  1.23s/it]
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Epoch 42, training loss 0.137:  38%|███▊      | 69/182 [01:25<02:19,  1.23s/it]
Epoch 42, training loss 0.135:  38%|███▊      | 69/182 [01:25<02:20,  1.24s/it]
Epoch 42, training loss 0.135:  38%|███▊      | 70/182 [01:26<02:18,  1.23s/it]
Epoch 42, training loss 0.134:  38%|███▊      | 70/182 [01:26<02:18,  1.24s/it]
Epoch 42, training loss 0.134:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 42, training loss 0.134:  39%|███▉      | 71/182 [01:27<02:17,  1.24s/it]
Epoch 42, training loss 0.134:  40%|███▉      | 72/182 [01:28<02:15,  1.23s/it]
Epoch 42, training loss 0.133:  40%|███▉      | 72/182 [01:29<02:16,  1.24s/it]
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Epoch 42, training loss 0.133:  40%|████      | 73/182 [01:30<02:14,  1.23s/it]
Epoch 42, training loss 0.133:  41%|████      | 74/182 [01:30<02:12,  1.22s/it]
Epoch 42, training loss 0.132:  41%|████      | 74/182 [01:31<02:13,  1.23s/it]
Epoch 42, training loss 0.132:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 42, training loss 0.131:  41%|████      | 75/182 [01:32<02:11,  1.23s/it]
Epoch 42, training loss 0.131:  42%|████▏     | 76/182 [01:32<02:09,  1.22s/it]
Epoch 42, training loss 0.138:  42%|████▏     | 76/182 [01:33<02:10,  1.23s/it]
Epoch 42, training loss 0.138:  42%|████▏     | 77/182 [01:33<02:08,  1.22s/it]
Epoch 42, training loss 0.139:  42%|████▏     | 77/182 [01:34<02:08,  1.23s/it]
Epoch 42, training loss 0.139:  43%|████▎     | 78/182 [01:35<02:06,  1.22s/it]
Epoch 42, training loss 0.138:  43%|████▎     | 78/182 [01:35<02:07,  1.23s/it]
Epoch 42, training loss 0.138:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
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Epoch 42, training loss 0.137:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 42, training loss 0.137:  44%|████▍     | 80/182 [01:38<02:05,  1.23s/it]
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Epoch 42, training loss 0.137:  45%|████▌     | 82/182 [01:39<02:01,  1.22s/it]
Epoch 42, training loss 0.137:  45%|████▌     | 82/182 [01:40<02:02,  1.23s/it]
Epoch 42, training loss 0.137:  46%|████▌     | 83/182 [01:41<02:00,  1.22s/it]
Epoch 42, training loss 0.138:  46%|████▌     | 83/182 [01:41<02:01,  1.22s/it]
Epoch 42, training loss 0.138:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 42, training loss 0.138:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 42, training loss 0.138:  47%|████▋     | 85/182 [01:43<01:57,  1.21s/it]
Epoch 42, training loss 0.138:  47%|████▋     | 85/182 [01:43<01:58,  1.22s/it]
Epoch 42, training loss 0.138:  47%|████▋     | 86/182 [01:44<01:56,  1.21s/it]
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Epoch 42, training loss 0.137:  48%|████▊     | 87/182 [01:45<01:55,  1.21s/it]
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Epoch 42, training loss 0.138:  48%|████▊     | 88/182 [01:46<01:54,  1.21s/it]
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Epoch 42, training loss 0.138:  49%|████▉     | 89/182 [01:48<01:52,  1.21s/it]
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Epoch 42, training loss 0.138:  49%|████▉     | 90/182 [01:49<01:51,  1.21s/it]
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Epoch 42, training loss 0.135:  51%|█████     | 92/182 [01:51<01:49,  1.21s/it]
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Epoch 42, training loss 0.134:  52%|█████▏    | 95/182 [01:55<01:45,  1.21s/it]
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Epoch 42, training loss 0.133:  53%|█████▎    | 96/182 [01:56<01:44,  1.21s/it]
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Epoch 42, training loss 0.133:  53%|█████▎    | 97/182 [01:57<01:43,  1.21s/it]
Epoch 42, training loss 0.132:  53%|█████▎    | 97/182 [01:58<01:43,  1.22s/it]
Epoch 42, training loss 0.132:  54%|█████▍    | 98/182 [01:58<01:41,  1.21s/it]
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Epoch 42, training loss 0.133:  54%|█████▍    | 99/182 [01:59<01:40,  1.21s/it]
Epoch 42, training loss 0.133:  54%|█████▍    | 99/182 [02:00<01:41,  1.22s/it]
Epoch 42, training loss 0.133:  55%|█████▍    | 100/182 [02:01<01:39,  1.21s/it]
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Epoch 42, training loss 0.133:  56%|█████▌    | 102/182 [02:03<01:36,  1.21s/it]
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Epoch 42, training loss 0.132:  57%|█████▋    | 103/182 [02:04<01:35,  1.21s/it]
Epoch 42, training loss 0.133:  57%|█████▋    | 103/182 [02:05<01:36,  1.22s/it]
Epoch 42, training loss 0.133:  57%|█████▋    | 104/182 [02:05<01:34,  1.21s/it]
Epoch 42, training loss 0.132:  57%|█████▋    | 104/182 [02:06<01:34,  1.22s/it]
Epoch 42, training loss 0.132:  58%|█████▊    | 105/182 [02:06<01:33,  1.21s/it]
Epoch 42, training loss 0.132:  58%|█████▊    | 105/182 [02:07<01:33,  1.22s/it]
Epoch 42, training loss 0.132:  58%|█████▊    | 106/182 [02:08<01:31,  1.21s/it]
Epoch 42, training loss 0.131:  58%|█████▊    | 106/182 [02:08<01:32,  1.22s/it]
Epoch 42, training loss 0.131:  59%|█████▉    | 107/182 [02:09<01:30,  1.21s/it]
Epoch 42, training loss 0.130:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 42, training loss 0.130:  59%|█████▉    | 108/182 [02:10<01:29,  1.21s/it]
Epoch 42, training loss 0.129:  59%|█████▉    | 108/182 [02:11<01:29,  1.22s/it]
Epoch 42, training loss 0.129:  60%|█████▉    | 109/182 [02:11<01:28,  1.21s/it]
Epoch 42, training loss 0.130:  60%|█████▉    | 109/182 [02:12<01:28,  1.21s/it]
Epoch 42, training loss 0.130:  60%|██████    | 110/182 [02:12<01:27,  1.21s/it]
Epoch 42, training loss 0.129:  60%|██████    | 110/182 [02:13<01:27,  1.21s/it]
Epoch 42, training loss 0.129:  61%|██████    | 111/182 [02:14<01:25,  1.21s/it]
Epoch 42, training loss 0.130:  61%|██████    | 111/182 [02:14<01:26,  1.21s/it]
Epoch 42, training loss 0.130:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 42, training loss 0.132:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 42, training loss 0.132:  62%|██████▏   | 113/182 [02:16<01:23,  1.21s/it]
Epoch 42, training loss 0.132:  62%|██████▏   | 113/182 [02:17<01:23,  1.21s/it]
Epoch 42, training loss 0.132:  63%|██████▎   | 114/182 [02:17<01:22,  1.21s/it]
Epoch 42, training loss 0.134:  63%|██████▎   | 114/182 [02:18<01:22,  1.21s/it]
Epoch 42, training loss 0.134:  63%|██████▎   | 115/182 [02:18<01:20,  1.21s/it]
Epoch 42, training loss 0.133:  63%|██████▎   | 115/182 [02:19<01:21,  1.21s/it]
Epoch 42, training loss 0.133:  64%|██████▎   | 116/182 [02:19<01:19,  1.21s/it]
Epoch 42, training loss 0.135:  64%|██████▎   | 116/182 [02:20<01:19,  1.21s/it]
Epoch 42, training loss 0.135:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 42, training loss 0.135:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 42, training loss 0.135:  65%|██████▍   | 118/182 [02:22<01:17,  1.21s/it]
Epoch 42, training loss 0.137:  65%|██████▍   | 118/182 [02:22<01:17,  1.21s/it]
Epoch 42, training loss 0.137:  65%|██████▌   | 119/182 [02:23<01:15,  1.20s/it]
Epoch 42, training loss 0.136:  65%|██████▌   | 119/182 [02:24<01:16,  1.21s/it]
Epoch 42, training loss 0.136:  66%|██████▌   | 120/182 [02:24<01:14,  1.20s/it]
Epoch 42, training loss 0.136:  66%|██████▌   | 120/182 [02:25<01:14,  1.21s/it]
Epoch 42, training loss 0.136:  66%|██████▋   | 121/182 [02:25<01:13,  1.20s/it]
Epoch 42, training loss 0.135:  66%|██████▋   | 121/182 [02:26<01:13,  1.21s/it]
Epoch 42, training loss 0.135:  67%|██████▋   | 122/182 [02:26<01:12,  1.20s/it]
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Epoch 42, training loss 0.135:  68%|██████▊   | 123/182 [02:28<01:11,  1.20s/it]
Epoch 42, training loss 0.136:  68%|██████▊   | 123/182 [02:28<01:11,  1.21s/it]
Epoch 42, training loss 0.136:  68%|██████▊   | 124/182 [02:29<01:09,  1.20s/it]
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Epoch 42, training loss 0.135:  69%|██████▉   | 126/182 [02:31<01:07,  1.20s/it]
Epoch 42, training loss 0.135:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
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Epoch 42, training loss 0.134:  71%|███████   | 129/182 [02:35<01:04,  1.21s/it]
Epoch 42, training loss 0.134:  71%|███████▏  | 130/182 [02:36<01:02,  1.20s/it]
Epoch 42, training loss 0.134:  71%|███████▏  | 130/182 [02:36<01:02,  1.21s/it]
Epoch 42, training loss 0.134:  72%|███████▏  | 131/182 [02:37<01:01,  1.20s/it]
Epoch 42, training loss 0.133:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 42, training loss 0.133:  73%|███████▎  | 132/182 [02:38<01:00,  1.20s/it]
Epoch 42, training loss 0.133:  73%|███████▎  | 132/182 [02:39<01:00,  1.21s/it]
Epoch 42, training loss 0.133:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 42, training loss 0.132:  73%|███████▎  | 133/182 [02:40<00:59,  1.20s/it]
Epoch 42, training loss 0.132:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
Epoch 42, training loss 0.131:  74%|███████▎  | 134/182 [02:41<00:57,  1.20s/it]
Epoch 42, training loss 0.131:  74%|███████▍  | 135/182 [02:41<00:56,  1.20s/it]
Epoch 42, training loss 0.132:  74%|███████▍  | 135/182 [02:42<00:56,  1.20s/it]
Epoch 42, training loss 0.132:  75%|███████▍  | 136/182 [02:42<00:55,  1.20s/it]
Epoch 42, training loss 0.131:  75%|███████▍  | 136/182 [02:43<00:55,  1.20s/it]
Epoch 42, training loss 0.131:  75%|███████▌  | 137/182 [02:44<00:53,  1.20s/it]
Epoch 42, training loss 0.131:  75%|███████▌  | 137/182 [02:44<00:54,  1.20s/it]
Epoch 42, training loss 0.131:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 42, training loss 0.131:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 42, training loss 0.131:  76%|███████▋  | 139/182 [02:46<00:51,  1.20s/it]
Epoch 42, training loss 0.130:  76%|███████▋  | 139/182 [02:46<00:51,  1.20s/it]
Epoch 42, training loss 0.130:  77%|███████▋  | 140/182 [02:47<00:50,  1.20s/it]
Epoch 42, training loss 0.130:  77%|███████▋  | 140/182 [02:48<00:50,  1.20s/it]
Epoch 42, training loss 0.130:  77%|███████▋  | 141/182 [02:48<00:49,  1.20s/it]
Epoch 42, training loss 0.130:  77%|███████▋  | 141/182 [02:49<00:49,  1.20s/it]
Epoch 42, training loss 0.130:  78%|███████▊  | 142/182 [02:49<00:47,  1.20s/it]
Epoch 42, training loss 0.130:  78%|███████▊  | 142/182 [02:50<00:48,  1.20s/it]
Epoch 42, training loss 0.130:  79%|███████▊  | 143/182 [02:51<00:46,  1.20s/it]
Epoch 42, training loss 0.129:  79%|███████▊  | 143/182 [02:51<00:46,  1.20s/it]
Epoch 42, training loss 0.129:  79%|███████▉  | 144/182 [02:52<00:45,  1.20s/it]
Epoch 42, training loss 0.130:  79%|███████▉  | 144/182 [02:52<00:45,  1.20s/it]
Epoch 42, training loss 0.130:  80%|███████▉  | 145/182 [02:53<00:44,  1.19s/it]
Epoch 42, training loss 0.129:  80%|███████▉  | 145/182 [02:53<00:44,  1.20s/it]
Epoch 42, training loss 0.129:  80%|████████  | 146/182 [02:54<00:42,  1.19s/it]
Epoch 42, training loss 0.128:  80%|████████  | 146/182 [02:55<00:43,  1.20s/it]
Epoch 42, training loss 0.128:  81%|████████  | 147/182 [02:55<00:41,  1.19s/it]
Epoch 42, training loss 0.128:  81%|████████  | 147/182 [02:56<00:41,  1.20s/it]
Epoch 42, training loss 0.128:  81%|████████▏ | 148/182 [02:56<00:40,  1.19s/it]
Epoch 42, training loss 0.127:  81%|████████▏ | 148/182 [02:57<00:40,  1.20s/it]
Epoch 42, training loss 0.127:  82%|████████▏ | 149/182 [02:57<00:39,  1.19s/it]
Epoch 42, training loss 0.127:  82%|████████▏ | 149/182 [02:58<00:39,  1.20s/it]
Epoch 42, training loss 0.127:  82%|████████▏ | 150/182 [02:59<00:38,  1.19s/it]
Epoch 42, training loss 0.127:  82%|████████▏ | 150/182 [02:59<00:38,  1.20s/it]
Epoch 42, training loss 0.127:  83%|████████▎ | 151/182 [03:00<00:37,  1.19s/it]
Epoch 42, training loss 0.126:  83%|████████▎ | 151/182 [03:00<00:37,  1.20s/it]
Epoch 42, training loss 0.126:  84%|████████▎ | 152/182 [03:01<00:35,  1.19s/it]
Epoch 42, training loss 0.128:  84%|████████▎ | 152/182 [03:02<00:35,  1.20s/it]
Epoch 42, training loss 0.128:  84%|████████▍ | 153/182 [03:02<00:34,  1.19s/it]
Epoch 42, training loss 0.127:  84%|████████▍ | 153/182 [03:03<00:34,  1.20s/it]
Epoch 42, training loss 0.127:  85%|████████▍ | 154/182 [03:03<00:33,  1.19s/it]
Epoch 42, training loss 0.127:  85%|████████▍ | 154/182 [03:04<00:33,  1.20s/it]
Epoch 42, training loss 0.127:  85%|████████▌ | 155/182 [03:04<00:32,  1.19s/it]
Epoch 42, training loss 0.127:  85%|████████▌ | 155/182 [03:05<00:32,  1.20s/it]
Epoch 42, training loss 0.127:  86%|████████▌ | 156/182 [03:06<00:31,  1.19s/it]
Epoch 42, training loss 0.126:  86%|████████▌ | 156/182 [03:06<00:31,  1.20s/it]
Epoch 42, training loss 0.126:  86%|████████▋ | 157/182 [03:07<00:29,  1.19s/it]
Epoch 42, training loss 0.126:  86%|████████▋ | 157/182 [03:07<00:29,  1.20s/it]
Epoch 42, training loss 0.126:  87%|████████▋ | 158/182 [03:08<00:28,  1.19s/it]
Epoch 42, training loss 0.126:  87%|████████▋ | 158/182 [03:09<00:28,  1.20s/it]
Epoch 42, training loss 0.126:  87%|████████▋ | 159/182 [03:09<00:27,  1.19s/it]
Epoch 42, training loss 0.126:  87%|████████▋ | 159/182 [03:10<00:27,  1.20s/it]
Epoch 42, training loss 0.126:  88%|████████▊ | 160/182 [03:10<00:26,  1.19s/it]
Epoch 42, training loss 0.126:  88%|████████▊ | 160/182 [03:11<00:26,  1.20s/it]
Epoch 42, training loss 0.126:  88%|████████▊ | 161/182 [03:11<00:25,  1.19s/it]
Epoch 42, training loss 0.126:  88%|████████▊ | 161/182 [03:12<00:25,  1.20s/it]
Epoch 42, training loss 0.126:  89%|████████▉ | 162/182 [03:12<00:23,  1.19s/it]
Epoch 42, training loss 0.126:  89%|████████▉ | 162/182 [03:13<00:23,  1.20s/it]
Epoch 42, training loss 0.126:  90%|████████▉ | 163/182 [03:14<00:22,  1.19s/it]
Epoch 42, training loss 0.126:  90%|████████▉ | 163/182 [03:15<00:22,  1.20s/it]
Epoch 42, training loss 0.126:  90%|█████████ | 164/182 [03:15<00:21,  1.19s/it]
Epoch 42, training loss 0.126:  90%|█████████ | 164/182 [03:16<00:21,  1.20s/it]
Epoch 42, training loss 0.126:  91%|█████████ | 165/182 [03:16<00:20,  1.19s/it]
Epoch 42, training loss 0.126:  91%|█████████ | 165/182 [03:17<00:20,  1.20s/it]
Epoch 42, training loss 0.126:  91%|█████████ | 166/182 [03:17<00:19,  1.19s/it]
Epoch 42, training loss 0.126:  91%|█████████ | 166/182 [03:18<00:19,  1.20s/it]
Epoch 42, training loss 0.126:  92%|█████████▏| 167/182 [03:18<00:17,  1.19s/it]
Epoch 42, training loss 0.126:  92%|█████████▏| 167/182 [03:19<00:17,  1.20s/it]
Epoch 42, training loss 0.126:  92%|█████████▏| 168/182 [03:20<00:16,  1.19s/it]
Epoch 42, training loss 0.126:  92%|█████████▏| 168/182 [03:20<00:16,  1.20s/it]
Epoch 42, training loss 0.126:  93%|█████████▎| 169/182 [03:21<00:15,  1.19s/it]
Epoch 42, training loss 0.126:  93%|█████████▎| 169/182 [03:21<00:15,  1.19s/it]
Epoch 42, training loss 0.126:  93%|█████████▎| 170/182 [03:22<00:14,  1.19s/it]
Epoch 42, training loss 0.125:  93%|█████████▎| 170/182 [03:23<00:14,  1.19s/it]
Epoch 42, training loss 0.125:  94%|█████████▍| 171/182 [03:23<00:13,  1.19s/it]
Epoch 42, training loss 0.125:  94%|█████████▍| 171/182 [03:24<00:13,  1.19s/it]
Epoch 42, training loss 0.125:  95%|█████████▍| 172/182 [03:24<00:11,  1.19s/it]
Epoch 42, training loss 0.125:  95%|█████████▍| 172/182 [03:25<00:11,  1.19s/it]
Epoch 42, training loss 0.125:  95%|█████████▌| 173/182 [03:25<00:10,  1.19s/it]
Epoch 42, training loss 0.124:  95%|█████████▌| 173/182 [03:26<00:10,  1.19s/it]
Epoch 42, training loss 0.124:  96%|█████████▌| 174/182 [03:26<00:09,  1.19s/it]
Epoch 42, training loss 0.124:  96%|█████████▌| 174/182 [03:27<00:09,  1.19s/it]
Epoch 42, training loss 0.124:  96%|█████████▌| 175/182 [03:28<00:08,  1.19s/it]
Epoch 42, training loss 0.124:  96%|█████████▌| 175/182 [03:28<00:08,  1.19s/it]
Epoch 42, training loss 0.124:  97%|█████████▋| 176/182 [03:29<00:07,  1.19s/it]
Epoch 42, training loss 0.124:  97%|█████████▋| 176/182 [03:29<00:07,  1.19s/it]
Epoch 42, training loss 0.124:  97%|█████████▋| 177/182 [03:30<00:05,  1.19s/it]
Epoch 42, training loss 0.125:  97%|█████████▋| 177/182 [03:30<00:05,  1.19s/it]
Epoch 42, training loss 0.125:  98%|█████████▊| 178/182 [03:31<00:04,  1.19s/it]
Epoch 42, training loss 0.124:  98%|█████████▊| 178/182 [03:32<00:04,  1.19s/it]
Epoch 42, training loss 0.124:  98%|█████████▊| 179/182 [03:32<00:03,  1.19s/it]
Epoch 42, training loss 0.124:  98%|█████████▊| 179/182 [03:33<00:03,  1.19s/it]
Epoch 42, training loss 0.124:  99%|█████████▉| 180/182 [03:33<00:02,  1.19s/it]
Epoch 42, training loss 0.124:  99%|█████████▉| 180/182 [03:34<00:02,  1.19s/it]
Epoch 42, training loss 0.124:  99%|█████████▉| 181/182 [03:34<00:01,  1.19s/it]
Epoch 42, training loss 0.124:  99%|█████████▉| 181/182 [03:35<00:01,  1.19s/it]
Epoch 42, training loss 0.124: 100%|██████████| 182/182 [03:35<00:00,  1.19s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 42, validation pixAcc: 0.977, mIoU: 0.612:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 42, validation pixAcc: 0.977, mIoU: 0.612:   1%|          | 1/91 [00:04<06:50,  4.56s/it]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.764:   1%|          | 1/91 [00:04<07:29,  4.99s/it]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.764:   2%|▏         | 2/91 [00:04<03:42,  2.50s/it]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.796:   2%|▏         | 2/91 [00:05<04:01,  2.72s/it]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.796:   3%|▎         | 3/91 [00:05<02:39,  1.81s/it]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.805:   3%|▎         | 3/91 [00:05<02:52,  1.96s/it]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.805:   4%|▍         | 4/91 [00:05<02:08,  1.47s/it]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.900:   4%|▍         | 4/91 [00:06<02:17,  1.59s/it]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.900:   5%|▌         | 5/91 [00:06<01:49,  1.27s/it]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.906:   5%|▌         | 5/91 [00:06<01:56,  1.36s/it]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.906:   7%|▋         | 6/91 [00:06<01:36,  1.13s/it]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.903:   7%|▋         | 6/91 [00:07<01:42,  1.20s/it]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.903:   8%|▊         | 7/91 [00:07<01:26,  1.03s/it]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.903:   8%|▊         | 7/91 [00:07<01:31,  1.09s/it]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.903:   9%|▉         | 8/91 [00:07<01:18,  1.05it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.906:   9%|▉         | 8/91 [00:08<01:23,  1.01s/it]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.906:  10%|▉         | 9/91 [00:08<01:13,  1.12it/s]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.908:  10%|▉         | 9/91 [00:08<01:17,  1.06it/s]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.908:  11%|█         | 10/91 [00:08<01:08,  1.18it/s]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.908:  11%|█         | 10/91 [00:08<01:12,  1.12it/s]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.908:  12%|█▏        | 11/91 [00:08<01:04,  1.24it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.907:  12%|█▏        | 11/91 [00:09<01:08,  1.18it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.907:  13%|█▎        | 12/91 [00:09<01:01,  1.28it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.906:  13%|█▎        | 12/91 [00:09<01:04,  1.23it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.906:  14%|█▍        | 13/91 [00:09<00:58,  1.33it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.914:  14%|█▍        | 13/91 [00:10<01:01,  1.27it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.914:  15%|█▌        | 14/91 [00:10<00:56,  1.37it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.913:  15%|█▌        | 14/91 [00:10<00:58,  1.32it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.913:  16%|█▋        | 15/91 [00:10<00:53,  1.41it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.918:  16%|█▋        | 15/91 [00:11<00:56,  1.35it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.918:  18%|█▊        | 16/91 [00:11<00:52,  1.44it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.917:  18%|█▊        | 16/91 [00:11<00:54,  1.38it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.917:  19%|█▊        | 17/91 [00:11<00:50,  1.47it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.915:  19%|█▊        | 17/91 [00:11<00:52,  1.42it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.915:  20%|█▉        | 18/91 [00:11<00:48,  1.50it/s]
Epoch 42, validation pixAcc: 0.978, mIoU: 0.910:  20%|█▉        | 18/91 [00:12<00:50,  1.45it/s]
Epoch 42, validation pixAcc: 0.978, mIoU: 0.910:  21%|██        | 19/91 [00:12<00:46,  1.53it/s]
Epoch 42, validation pixAcc: 0.978, mIoU: 0.908:  21%|██        | 19/91 [00:12<00:48,  1.48it/s]
Epoch 42, validation pixAcc: 0.978, mIoU: 0.908:  22%|██▏       | 20/91 [00:12<00:45,  1.56it/s]
Epoch 42, validation pixAcc: 0.978, mIoU: 0.908:  22%|██▏       | 20/91 [00:13<00:47,  1.51it/s]
Epoch 42, validation pixAcc: 0.978, mIoU: 0.908:  23%|██▎       | 21/91 [00:13<00:44,  1.58it/s]
Epoch 42, validation pixAcc: 0.978, mIoU: 0.907:  23%|██▎       | 21/91 [00:13<00:45,  1.53it/s]
Epoch 42, validation pixAcc: 0.978, mIoU: 0.907:  24%|██▍       | 22/91 [00:13<00:43,  1.60it/s]
Epoch 42, validation pixAcc: 0.978, mIoU: 0.908:  24%|██▍       | 22/91 [00:14<00:44,  1.56it/s]
Epoch 42, validation pixAcc: 0.978, mIoU: 0.908:  25%|██▌       | 23/91 [00:14<00:41,  1.63it/s]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.910:  25%|██▌       | 23/91 [00:14<00:43,  1.58it/s]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.910:  26%|██▋       | 24/91 [00:14<00:40,  1.65it/s]
Epoch 42, validation pixAcc: 0.978, mIoU: 0.908:  26%|██▋       | 24/91 [00:14<00:41,  1.60it/s]
Epoch 42, validation pixAcc: 0.978, mIoU: 0.908:  27%|██▋       | 25/91 [00:14<00:39,  1.67it/s]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.909:  27%|██▋       | 25/91 [00:15<00:40,  1.62it/s]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.909:  29%|██▊       | 26/91 [00:15<00:38,  1.68it/s]
Epoch 42, validation pixAcc: 0.978, mIoU: 0.910:  29%|██▊       | 26/91 [00:15<00:39,  1.64it/s]
Epoch 42, validation pixAcc: 0.978, mIoU: 0.910:  30%|██▉       | 27/91 [00:15<00:37,  1.71it/s]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.913:  30%|██▉       | 27/91 [00:16<00:38,  1.66it/s]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.913:  31%|███       | 28/91 [00:16<00:36,  1.72it/s]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.913:  31%|███       | 28/91 [00:16<00:37,  1.68it/s]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.913:  32%|███▏      | 29/91 [00:16<00:35,  1.74it/s]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.915:  32%|███▏      | 29/91 [00:17<00:36,  1.70it/s]
Epoch 42, validation pixAcc: 0.979, mIoU: 0.915:  33%|███▎      | 30/91 [00:17<00:34,  1.76it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.916:  33%|███▎      | 30/91 [00:17<00:35,  1.72it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.916:  34%|███▍      | 31/91 [00:17<00:33,  1.77it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.917:  34%|███▍      | 31/91 [00:17<00:34,  1.73it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.917:  35%|███▌      | 32/91 [00:17<00:33,  1.79it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.919:  35%|███▌      | 32/91 [00:18<00:33,  1.75it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.919:  36%|███▋      | 33/91 [00:18<00:32,  1.80it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.919:  36%|███▋      | 33/91 [00:18<00:32,  1.76it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.919:  37%|███▋      | 34/91 [00:18<00:31,  1.81it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.919:  37%|███▋      | 34/91 [00:19<00:32,  1.77it/s]
Epoch 42, validation pixAcc: 0.980, mIoU: 0.919:  38%|███▊      | 35/91 [00:19<00:30,  1.82it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.919:  38%|███▊      | 35/91 [00:19<00:31,  1.78it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.919:  40%|███▉      | 36/91 [00:19<00:30,  1.83it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.919:  40%|███▉      | 36/91 [00:20<00:30,  1.79it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.919:  41%|████      | 37/91 [00:20<00:29,  1.84it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.920:  41%|████      | 37/91 [00:20<00:30,  1.80it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.920:  42%|████▏     | 38/91 [00:20<00:28,  1.85it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.919:  42%|████▏     | 38/91 [00:21<00:29,  1.81it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.919:  43%|████▎     | 39/91 [00:21<00:28,  1.85it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.921:  43%|████▎     | 39/91 [00:21<00:28,  1.82it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.921:  44%|████▍     | 40/91 [00:21<00:27,  1.86it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.921:  44%|████▍     | 40/91 [00:21<00:27,  1.83it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.921:  45%|████▌     | 41/91 [00:21<00:26,  1.87it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.921:  45%|████▌     | 41/91 [00:22<00:27,  1.84it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.921:  46%|████▌     | 42/91 [00:22<00:26,  1.88it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.922:  46%|████▌     | 42/91 [00:22<00:26,  1.85it/s]
Epoch 42, validation pixAcc: 0.981, mIoU: 0.922:  47%|████▋     | 43/91 [00:22<00:25,  1.89it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.922:  47%|████▋     | 43/91 [00:23<00:25,  1.85it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.922:  48%|████▊     | 44/91 [00:23<00:24,  1.90it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.922:  48%|████▊     | 44/91 [00:23<00:25,  1.86it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 45/91 [00:23<00:24,  1.90it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  49%|████▉     | 45/91 [00:24<00:24,  1.87it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  51%|█████     | 46/91 [00:24<00:23,  1.91it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  51%|█████     | 46/91 [00:24<00:23,  1.88it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  52%|█████▏    | 47/91 [00:24<00:22,  1.92it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  52%|█████▏    | 47/91 [00:24<00:23,  1.88it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  53%|█████▎    | 48/91 [00:24<00:22,  1.92it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/91 [00:25<00:22,  1.89it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/91 [00:25<00:21,  1.92it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/91 [00:25<00:22,  1.89it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.922:  55%|█████▍    | 50/91 [00:25<00:21,  1.93it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  55%|█████▍    | 50/91 [00:26<00:21,  1.90it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  56%|█████▌    | 51/91 [00:26<00:20,  1.94it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  56%|█████▌    | 51/91 [00:26<00:20,  1.91it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 52/91 [00:26<00:20,  1.94it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 52/91 [00:27<00:20,  1.91it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  58%|█████▊    | 53/91 [00:27<00:19,  1.95it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.922:  58%|█████▊    | 53/91 [00:27<00:19,  1.91it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.922:  59%|█████▉    | 54/91 [00:27<00:18,  1.95it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  59%|█████▉    | 54/91 [00:28<00:19,  1.92it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  60%|██████    | 55/91 [00:28<00:18,  1.96it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  60%|██████    | 55/91 [00:28<00:18,  1.93it/s]
Epoch 42, validation pixAcc: 0.982, mIoU: 0.923:  62%|██████▏   | 56/91 [00:28<00:17,  1.96it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.923:  62%|██████▏   | 56/91 [00:28<00:18,  1.93it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/91 [00:28<00:17,  1.97it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/91 [00:29<00:17,  1.94it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▎   | 58/91 [00:29<00:16,  1.97it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▎   | 58/91 [00:29<00:16,  1.94it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.923:  65%|██████▍   | 59/91 [00:29<00:16,  1.98it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.922:  65%|██████▍   | 59/91 [00:30<00:16,  1.95it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.922:  66%|██████▌   | 60/91 [00:30<00:15,  1.98it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.924:  66%|██████▌   | 60/91 [00:30<00:15,  1.95it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.924:  67%|██████▋   | 61/91 [00:30<00:15,  1.98it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.924:  67%|██████▋   | 61/91 [00:31<00:15,  1.96it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 62/91 [00:31<00:14,  1.99it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 62/91 [00:31<00:14,  1.96it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 63/91 [00:31<00:14,  2.00it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.925:  69%|██████▉   | 63/91 [00:31<00:14,  1.97it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 64/91 [00:31<00:13,  2.00it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 64/91 [00:32<00:13,  1.98it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████▏  | 65/91 [00:32<00:12,  2.01it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████▏  | 65/91 [00:32<00:13,  1.98it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.925:  73%|███████▎  | 66/91 [00:32<00:12,  2.01it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.926:  73%|███████▎  | 66/91 [00:33<00:12,  1.98it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.926:  74%|███████▎  | 67/91 [00:33<00:11,  2.01it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▎  | 67/91 [00:33<00:12,  1.99it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.925:  75%|███████▍  | 68/91 [00:33<00:11,  2.02it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.925:  75%|███████▍  | 68/91 [00:34<00:11,  1.99it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 69/91 [00:34<00:10,  2.02it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.926:  76%|███████▌  | 69/91 [00:34<00:11,  2.00it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.926:  77%|███████▋  | 70/91 [00:34<00:10,  2.03it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.926:  77%|███████▋  | 70/91 [00:34<00:10,  2.00it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.926:  78%|███████▊  | 71/91 [00:34<00:09,  2.03it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.926:  78%|███████▊  | 71/91 [00:35<00:09,  2.01it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.926:  79%|███████▉  | 72/91 [00:35<00:09,  2.04it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.926:  79%|███████▉  | 72/91 [00:35<00:09,  2.01it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.926:  80%|████████  | 73/91 [00:35<00:08,  2.04it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.926:  80%|████████  | 73/91 [00:36<00:08,  2.02it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.926:  81%|████████▏ | 74/91 [00:36<00:08,  2.04it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.927:  81%|████████▏ | 74/91 [00:36<00:08,  2.02it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.927:  82%|████████▏ | 75/91 [00:36<00:07,  2.05it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.927:  82%|████████▏ | 75/91 [00:37<00:07,  2.03it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.927:  84%|████████▎ | 76/91 [00:37<00:07,  2.05it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.927:  84%|████████▎ | 76/91 [00:37<00:07,  2.03it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.927:  85%|████████▍ | 77/91 [00:37<00:06,  2.06it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.927:  85%|████████▍ | 77/91 [00:37<00:06,  2.03it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.927:  86%|████████▌ | 78/91 [00:37<00:06,  2.06it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.927:  86%|████████▌ | 78/91 [00:38<00:06,  2.04it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.927:  87%|████████▋ | 79/91 [00:38<00:05,  2.06it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.927:  87%|████████▋ | 79/91 [00:38<00:05,  2.04it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.927:  88%|████████▊ | 80/91 [00:38<00:05,  2.07it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  88%|████████▊ | 80/91 [00:39<00:05,  2.04it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  89%|████████▉ | 81/91 [00:39<00:04,  2.07it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  89%|████████▉ | 81/91 [00:39<00:04,  2.05it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  90%|█████████ | 82/91 [00:39<00:04,  2.07it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.928:  90%|█████████ | 82/91 [00:39<00:04,  2.05it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.928:  91%|█████████ | 83/91 [00:39<00:03,  2.08it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  91%|█████████ | 83/91 [00:40<00:03,  2.05it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  92%|█████████▏| 84/91 [00:40<00:03,  2.08it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  92%|█████████▏| 84/91 [00:40<00:03,  2.06it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 85/91 [00:40<00:02,  2.08it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.929:  93%|█████████▎| 85/91 [00:41<00:02,  2.06it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.929:  95%|█████████▍| 86/91 [00:41<00:02,  2.09it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  95%|█████████▍| 86/91 [00:41<00:02,  2.07it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 87/91 [00:41<00:01,  2.09it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 87/91 [00:42<00:01,  2.07it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 88/91 [00:42<00:01,  2.09it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 88/91 [00:42<00:01,  2.07it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 89/91 [00:42<00:00,  2.10it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 89/91 [00:42<00:00,  2.07it/s]
Epoch 42, validation pixAcc: 0.984, mIoU: 0.928:  99%|█████████▉| 90/91 [00:42<00:00,  2.10it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.928:  99%|█████████▉| 90/91 [00:43<00:00,  2.08it/s]
Epoch 42, validation pixAcc: 0.983, mIoU: 0.928: 100%|██████████| 91/91 [00:43<00:00,  2.10it/s]

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Epoch 43, training loss 0.124:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 43, training loss 0.124:   1%|          | 1/182 [00:05<16:32,  5.48s/it]
Epoch 43, training loss 0.175:   1%|          | 1/182 [00:06<18:55,  6.27s/it]
Epoch 43, training loss 0.175:   1%|          | 2/182 [00:06<10:12,  3.40s/it]
Epoch 43, training loss 0.131:   1%|          | 2/182 [00:07<11:16,  3.76s/it]
Epoch 43, training loss 0.131:   2%|▏         | 3/182 [00:08<07:58,  2.67s/it]
Epoch 43, training loss 0.111:   2%|▏         | 3/182 [00:08<08:43,  2.92s/it]
Epoch 43, training loss 0.111:   2%|▏         | 4/182 [00:09<06:52,  2.32s/it]
Epoch 43, training loss 0.109:   2%|▏         | 4/182 [00:09<07:23,  2.49s/it]
Epoch 43, training loss 0.109:   3%|▎         | 5/182 [00:10<06:10,  2.09s/it]
Epoch 43, training loss 0.097:   3%|▎         | 5/182 [00:11<06:36,  2.24s/it]
Epoch 43, training loss 0.097:   3%|▎         | 6/182 [00:11<05:43,  1.95s/it]
Epoch 43, training loss 0.111:   3%|▎         | 6/182 [00:12<06:03,  2.06s/it]
Epoch 43, training loss 0.111:   4%|▍         | 7/182 [00:12<05:22,  1.84s/it]
Epoch 43, training loss 0.102:   4%|▍         | 7/182 [00:13<05:39,  1.94s/it]
Epoch 43, training loss 0.102:   4%|▍         | 8/182 [00:14<05:06,  1.76s/it]
Epoch 43, training loss 0.103:   4%|▍         | 8/182 [00:14<05:20,  1.84s/it]
Epoch 43, training loss 0.103:   5%|▍         | 9/182 [00:15<04:53,  1.70s/it]
Epoch 43, training loss 0.108:   5%|▍         | 9/182 [00:15<05:07,  1.78s/it]
Epoch 43, training loss 0.108:   5%|▌         | 10/182 [00:16<04:43,  1.65s/it]
Epoch 43, training loss 0.105:   5%|▌         | 10/182 [00:17<04:56,  1.73s/it]
Epoch 43, training loss 0.105:   6%|▌         | 11/182 [00:17<04:36,  1.62s/it]
Epoch 43, training loss 0.103:   6%|▌         | 11/182 [00:18<04:46,  1.68s/it]
Epoch 43, training loss 0.103:   7%|▋         | 12/182 [00:18<04:28,  1.58s/it]
Epoch 43, training loss 0.097:   7%|▋         | 12/182 [00:19<04:38,  1.64s/it]
Epoch 43, training loss 0.097:   7%|▋         | 13/182 [00:20<04:21,  1.55s/it]
Epoch 43, training loss 0.093:   7%|▋         | 13/182 [00:20<04:30,  1.60s/it]
Epoch 43, training loss 0.093:   8%|▊         | 14/182 [00:21<04:15,  1.52s/it]
Epoch 43, training loss 0.091:   8%|▊         | 14/182 [00:22<04:24,  1.57s/it]
Epoch 43, training loss 0.091:   8%|▊         | 15/182 [00:22<04:10,  1.50s/it]
Epoch 43, training loss 0.089:   8%|▊         | 15/182 [00:23<04:18,  1.55s/it]
Epoch 43, training loss 0.089:   9%|▉         | 16/182 [00:23<04:05,  1.48s/it]
Epoch 43, training loss 0.087:   9%|▉         | 16/182 [00:24<04:12,  1.52s/it]
Epoch 43, training loss 0.087:   9%|▉         | 17/182 [00:24<04:00,  1.46s/it]
Epoch 43, training loss 0.090:   9%|▉         | 17/182 [00:25<04:07,  1.50s/it]
Epoch 43, training loss 0.090:  10%|▉         | 18/182 [00:25<03:56,  1.44s/it]
Epoch 43, training loss 0.098:  10%|▉         | 18/182 [00:26<04:03,  1.48s/it]
Epoch 43, training loss 0.098:  10%|█         | 19/182 [00:27<03:53,  1.43s/it]
Epoch 43, training loss 0.099:  10%|█         | 19/182 [00:27<03:59,  1.47s/it]
Epoch 43, training loss 0.099:  11%|█         | 20/182 [00:28<03:50,  1.42s/it]
Epoch 43, training loss 0.107:  11%|█         | 20/182 [00:29<03:56,  1.46s/it]
Epoch 43, training loss 0.107:  12%|█▏        | 21/182 [00:29<03:47,  1.41s/it]
Epoch 43, training loss 0.108:  12%|█▏        | 21/182 [00:30<03:52,  1.45s/it]
Epoch 43, training loss 0.108:  12%|█▏        | 22/182 [00:30<03:44,  1.40s/it]
Epoch 43, training loss 0.116:  12%|█▏        | 22/182 [00:31<03:49,  1.43s/it]
Epoch 43, training loss 0.116:  13%|█▎        | 23/182 [00:32<03:41,  1.39s/it]
Epoch 43, training loss 0.115:  13%|█▎        | 23/182 [00:32<03:45,  1.42s/it]
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Epoch 43, training loss 0.112:  14%|█▎        | 25/182 [00:34<03:35,  1.37s/it]
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Epoch 43, training loss 0.112:  14%|█▍        | 26/182 [00:36<03:38,  1.40s/it]
Epoch 43, training loss 0.112:  15%|█▍        | 27/182 [00:36<03:31,  1.37s/it]
Epoch 43, training loss 0.118:  15%|█▍        | 27/182 [00:37<03:35,  1.39s/it]
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Epoch 43, training loss 0.117:  16%|█▌        | 29/182 [00:39<03:27,  1.35s/it]
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Epoch 43, training loss 0.116:  16%|█▋        | 30/182 [00:40<03:24,  1.35s/it]
Epoch 43, training loss 0.127:  16%|█▋        | 30/182 [00:41<03:28,  1.37s/it]
Epoch 43, training loss 0.127:  17%|█▋        | 31/182 [00:41<03:22,  1.34s/it]
Epoch 43, training loss 0.124:  17%|█▋        | 31/182 [00:42<03:25,  1.36s/it]
Epoch 43, training loss 0.124:  18%|█▊        | 32/182 [00:42<03:20,  1.34s/it]
Epoch 43, training loss 0.122:  18%|█▊        | 32/182 [00:43<03:23,  1.36s/it]
Epoch 43, training loss 0.122:  18%|█▊        | 33/182 [00:44<03:18,  1.33s/it]
Epoch 43, training loss 0.121:  18%|█▊        | 33/182 [00:44<03:22,  1.36s/it]
Epoch 43, training loss 0.121:  19%|█▊        | 34/182 [00:45<03:17,  1.33s/it]
Epoch 43, training loss 0.120:  19%|█▊        | 34/182 [00:45<03:19,  1.35s/it]
Epoch 43, training loss 0.120:  19%|█▉        | 35/182 [00:46<03:14,  1.32s/it]
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Epoch 43, training loss 0.118:  20%|█▉        | 36/182 [00:47<03:13,  1.32s/it]
Epoch 43, training loss 0.115:  20%|█▉        | 36/182 [00:48<03:15,  1.34s/it]
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Epoch 43, training loss 0.116:  20%|██        | 37/182 [00:49<03:13,  1.33s/it]
Epoch 43, training loss 0.116:  21%|██        | 38/182 [00:49<03:08,  1.31s/it]
Epoch 43, training loss 0.115:  21%|██        | 38/182 [00:50<03:11,  1.33s/it]
Epoch 43, training loss 0.115:  21%|██▏       | 39/182 [00:50<03:06,  1.31s/it]
Epoch 43, training loss 0.115:  21%|██▏       | 39/182 [00:51<03:09,  1.32s/it]
Epoch 43, training loss 0.115:  22%|██▏       | 40/182 [00:52<03:05,  1.30s/it]
Epoch 43, training loss 0.114:  22%|██▏       | 40/182 [00:52<03:07,  1.32s/it]
Epoch 43, training loss 0.114:  23%|██▎       | 41/182 [00:53<03:03,  1.30s/it]
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Epoch 43, training loss 0.115:  23%|██▎       | 42/182 [00:54<03:01,  1.30s/it]
Epoch 43, training loss 0.114:  23%|██▎       | 42/182 [00:55<03:03,  1.31s/it]
Epoch 43, training loss 0.114:  24%|██▎       | 43/182 [00:55<03:00,  1.30s/it]
Epoch 43, training loss 0.114:  24%|██▎       | 43/182 [00:56<03:02,  1.31s/it]
Epoch 43, training loss 0.114:  24%|██▍       | 44/182 [00:56<02:58,  1.29s/it]
Epoch 43, training loss 0.115:  24%|██▍       | 44/182 [00:57<03:00,  1.31s/it]
Epoch 43, training loss 0.115:  25%|██▍       | 45/182 [00:58<02:56,  1.29s/it]
Epoch 43, training loss 0.114:  25%|██▍       | 45/182 [00:58<02:58,  1.31s/it]
Epoch 43, training loss 0.114:  25%|██▌       | 46/182 [00:59<02:55,  1.29s/it]
Epoch 43, training loss 0.115:  25%|██▌       | 46/182 [00:59<02:57,  1.30s/it]
Epoch 43, training loss 0.115:  26%|██▌       | 47/182 [01:00<02:53,  1.29s/it]
Epoch 43, training loss 0.113:  26%|██▌       | 47/182 [01:01<02:55,  1.30s/it]
Epoch 43, training loss 0.113:  26%|██▋       | 48/182 [01:01<02:52,  1.29s/it]
Epoch 43, training loss 0.112:  26%|██▋       | 48/182 [01:02<02:54,  1.30s/it]
Epoch 43, training loss 0.112:  27%|██▋       | 49/182 [01:02<02:50,  1.28s/it]
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Epoch 43, training loss 0.114:  27%|██▋       | 50/182 [01:04<02:49,  1.28s/it]
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Epoch 43, training loss 0.113:  28%|██▊       | 51/182 [01:05<02:47,  1.28s/it]
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Epoch 43, training loss 0.112:  29%|██▊       | 52/182 [01:06<02:45,  1.28s/it]
Epoch 43, training loss 0.112:  29%|██▊       | 52/182 [01:07<02:47,  1.29s/it]
Epoch 43, training loss 0.112:  29%|██▉       | 53/182 [01:07<02:44,  1.28s/it]
Epoch 43, training loss 0.112:  29%|██▉       | 53/182 [01:08<02:46,  1.29s/it]
Epoch 43, training loss 0.112:  30%|██▉       | 54/182 [01:08<02:43,  1.27s/it]
Epoch 43, training loss 0.111:  30%|██▉       | 54/182 [01:09<02:44,  1.29s/it]
Epoch 43, training loss 0.111:  30%|███       | 55/182 [01:09<02:41,  1.27s/it]
Epoch 43, training loss 0.110:  30%|███       | 55/182 [01:10<02:43,  1.28s/it]
Epoch 43, training loss 0.110:  31%|███       | 56/182 [01:11<02:40,  1.27s/it]
Epoch 43, training loss 0.109:  31%|███       | 56/182 [01:11<02:41,  1.28s/it]
Epoch 43, training loss 0.109:  31%|███▏      | 57/182 [01:12<02:38,  1.27s/it]
Epoch 43, training loss 0.109:  31%|███▏      | 57/182 [01:12<02:40,  1.28s/it]
Epoch 43, training loss 0.109:  32%|███▏      | 58/182 [01:13<02:37,  1.27s/it]
Epoch 43, training loss 0.109:  32%|███▏      | 58/182 [01:14<02:38,  1.28s/it]
Epoch 43, training loss 0.109:  32%|███▏      | 59/182 [01:14<02:35,  1.27s/it]
Epoch 43, training loss 0.109:  32%|███▏      | 59/182 [01:15<02:37,  1.28s/it]
Epoch 43, training loss 0.109:  33%|███▎      | 60/182 [01:15<02:34,  1.26s/it]
Epoch 43, training loss 0.108:  33%|███▎      | 60/182 [01:16<02:35,  1.28s/it]
Epoch 43, training loss 0.108:  34%|███▎      | 61/182 [01:17<02:32,  1.26s/it]
Epoch 43, training loss 0.107:  34%|███▎      | 61/182 [01:17<02:34,  1.27s/it]
Epoch 43, training loss 0.107:  34%|███▍      | 62/182 [01:18<02:31,  1.26s/it]
Epoch 43, training loss 0.106:  34%|███▍      | 62/182 [01:18<02:32,  1.27s/it]
Epoch 43, training loss 0.106:  35%|███▍      | 63/182 [01:19<02:30,  1.26s/it]
Epoch 43, training loss 0.111:  35%|███▍      | 63/182 [01:20<02:31,  1.27s/it]
Epoch 43, training loss 0.111:  35%|███▌      | 64/182 [01:20<02:28,  1.26s/it]
Epoch 43, training loss 0.110:  35%|███▌      | 64/182 [01:21<02:29,  1.27s/it]
Epoch 43, training loss 0.110:  36%|███▌      | 65/182 [01:21<02:27,  1.26s/it]
Epoch 43, training loss 0.111:  36%|███▌      | 65/182 [01:22<02:28,  1.27s/it]
Epoch 43, training loss 0.111:  36%|███▋      | 66/182 [01:22<02:25,  1.26s/it]
Epoch 43, training loss 0.110:  36%|███▋      | 66/182 [01:23<02:26,  1.27s/it]
Epoch 43, training loss 0.110:  37%|███▋      | 67/182 [01:24<02:24,  1.25s/it]
Epoch 43, training loss 0.110:  37%|███▋      | 67/182 [01:24<02:25,  1.26s/it]
Epoch 43, training loss 0.110:  37%|███▋      | 68/182 [01:25<02:22,  1.25s/it]
Epoch 43, training loss 0.109:  37%|███▋      | 68/182 [01:25<02:24,  1.26s/it]
Epoch 43, training loss 0.109:  38%|███▊      | 69/182 [01:26<02:21,  1.25s/it]
Epoch 43, training loss 0.110:  38%|███▊      | 69/182 [01:27<02:22,  1.26s/it]
Epoch 43, training loss 0.110:  38%|███▊      | 70/182 [01:27<02:20,  1.25s/it]
Epoch 43, training loss 0.110:  38%|███▊      | 70/182 [01:28<02:21,  1.26s/it]
Epoch 43, training loss 0.110:  39%|███▉      | 71/182 [01:28<02:19,  1.25s/it]
Epoch 43, training loss 0.111:  39%|███▉      | 71/182 [01:29<02:20,  1.26s/it]
Epoch 43, training loss 0.111:  40%|███▉      | 72/182 [01:30<02:17,  1.25s/it]
Epoch 43, training loss 0.113:  40%|███▉      | 72/182 [01:30<02:18,  1.26s/it]
Epoch 43, training loss 0.113:  40%|████      | 73/182 [01:31<02:16,  1.25s/it]
Epoch 43, training loss 0.112:  40%|████      | 73/182 [01:31<02:17,  1.26s/it]
Epoch 43, training loss 0.112:  41%|████      | 74/182 [01:32<02:14,  1.25s/it]
Epoch 43, training loss 0.111:  41%|████      | 74/182 [01:33<02:15,  1.26s/it]
Epoch 43, training loss 0.111:  41%|████      | 75/182 [01:33<02:13,  1.25s/it]
Epoch 43, training loss 0.111:  41%|████      | 75/182 [01:34<02:14,  1.26s/it]
Epoch 43, training loss 0.111:  42%|████▏     | 76/182 [01:34<02:12,  1.25s/it]
Epoch 43, training loss 0.110:  42%|████▏     | 76/182 [01:35<02:13,  1.26s/it]
Epoch 43, training loss 0.110:  42%|████▏     | 77/182 [01:36<02:10,  1.25s/it]
Epoch 43, training loss 0.111:  42%|████▏     | 77/182 [01:36<02:11,  1.26s/it]
Epoch 43, training loss 0.111:  43%|████▎     | 78/182 [01:37<02:09,  1.25s/it]
Epoch 43, training loss 0.111:  43%|████▎     | 78/182 [01:37<02:10,  1.26s/it]
Epoch 43, training loss 0.111:  43%|████▎     | 79/182 [01:38<02:08,  1.25s/it]
Epoch 43, training loss 0.112:  43%|████▎     | 79/182 [01:39<02:09,  1.26s/it]
Epoch 43, training loss 0.112:  44%|████▍     | 80/182 [01:39<02:07,  1.25s/it]
Epoch 43, training loss 0.111:  44%|████▍     | 80/182 [01:40<02:08,  1.26s/it]
Epoch 43, training loss 0.111:  45%|████▍     | 81/182 [01:40<02:05,  1.25s/it]
Epoch 43, training loss 0.111:  45%|████▍     | 81/182 [01:41<02:06,  1.26s/it]
Epoch 43, training loss 0.111:  45%|████▌     | 82/182 [01:42<02:04,  1.25s/it]
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Epoch 43, training loss 0.110:  46%|████▌     | 83/182 [01:43<02:03,  1.25s/it]
Epoch 43, training loss 0.112:  46%|████▌     | 83/182 [01:44<02:04,  1.25s/it]
Epoch 43, training loss 0.112:  46%|████▌     | 84/182 [01:44<02:01,  1.24s/it]
Epoch 43, training loss 0.111:  46%|████▌     | 84/182 [01:45<02:02,  1.25s/it]
Epoch 43, training loss 0.111:  47%|████▋     | 85/182 [01:45<02:00,  1.24s/it]
Epoch 43, training loss 0.112:  47%|████▋     | 85/182 [01:46<02:01,  1.25s/it]
Epoch 43, training loss 0.112:  47%|████▋     | 86/182 [01:46<01:59,  1.24s/it]
Epoch 43, training loss 0.113:  47%|████▋     | 86/182 [01:47<02:00,  1.25s/it]
Epoch 43, training loss 0.113:  48%|████▊     | 87/182 [01:48<01:58,  1.24s/it]
Epoch 43, training loss 0.113:  48%|████▊     | 87/182 [01:48<01:58,  1.25s/it]
Epoch 43, training loss 0.113:  48%|████▊     | 88/182 [01:49<01:56,  1.24s/it]
Epoch 43, training loss 0.115:  48%|████▊     | 88/182 [01:50<01:57,  1.25s/it]
Epoch 43, training loss 0.115:  49%|████▉     | 89/182 [01:50<01:55,  1.24s/it]
Epoch 43, training loss 0.115:  49%|████▉     | 89/182 [01:51<01:56,  1.25s/it]
Epoch 43, training loss 0.115:  49%|████▉     | 90/182 [01:51<01:54,  1.24s/it]
Epoch 43, training loss 0.115:  49%|████▉     | 90/182 [01:52<01:54,  1.25s/it]
Epoch 43, training loss 0.115:  50%|█████     | 91/182 [01:52<01:52,  1.24s/it]
Epoch 43, training loss 0.115:  50%|█████     | 91/182 [01:53<01:53,  1.25s/it]
Epoch 43, training loss 0.115:  51%|█████     | 92/182 [01:54<01:51,  1.24s/it]
Epoch 43, training loss 0.115:  51%|█████     | 92/182 [01:54<01:52,  1.25s/it]
Epoch 43, training loss 0.115:  51%|█████     | 93/182 [01:55<01:50,  1.24s/it]
Epoch 43, training loss 0.114:  51%|█████     | 93/182 [01:55<01:50,  1.24s/it]
Epoch 43, training loss 0.114:  52%|█████▏    | 94/182 [01:56<01:48,  1.24s/it]
Epoch 43, training loss 0.113:  52%|█████▏    | 94/182 [01:56<01:49,  1.24s/it]
Epoch 43, training loss 0.113:  52%|█████▏    | 95/182 [01:57<01:47,  1.24s/it]
Epoch 43, training loss 0.114:  52%|█████▏    | 95/182 [01:58<01:48,  1.24s/it]
Epoch 43, training loss 0.114:  53%|█████▎    | 96/182 [01:58<01:46,  1.23s/it]
Epoch 43, training loss 0.117:  53%|█████▎    | 96/182 [01:59<01:46,  1.24s/it]
Epoch 43, training loss 0.117:  53%|█████▎    | 97/182 [01:59<01:44,  1.23s/it]
Epoch 43, training loss 0.116:  53%|█████▎    | 97/182 [02:00<01:45,  1.24s/it]
Epoch 43, training loss 0.116:  54%|█████▍    | 98/182 [02:00<01:43,  1.23s/it]
Epoch 43, training loss 0.117:  54%|█████▍    | 98/182 [02:01<01:44,  1.24s/it]
Epoch 43, training loss 0.117:  54%|█████▍    | 99/182 [02:02<01:42,  1.23s/it]
Epoch 43, training loss 0.116:  54%|█████▍    | 99/182 [02:02<01:42,  1.24s/it]
Epoch 43, training loss 0.116:  55%|█████▍    | 100/182 [02:03<01:41,  1.23s/it]
Epoch 43, training loss 0.133:  55%|█████▍    | 100/182 [02:03<01:41,  1.24s/it]
Epoch 43, training loss 0.133:  55%|█████▌    | 101/182 [02:04<01:39,  1.23s/it]
Epoch 43, training loss 0.133:  55%|█████▌    | 101/182 [02:05<01:40,  1.24s/it]
Epoch 43, training loss 0.133:  56%|█████▌    | 102/182 [02:05<01:38,  1.23s/it]
Epoch 43, training loss 0.132:  56%|█████▌    | 102/182 [02:06<01:38,  1.24s/it]
Epoch 43, training loss 0.132:  57%|█████▋    | 103/182 [02:06<01:37,  1.23s/it]
Epoch 43, training loss 0.131:  57%|█████▋    | 103/182 [02:07<01:37,  1.24s/it]
Epoch 43, training loss 0.131:  57%|█████▋    | 104/182 [02:07<01:35,  1.23s/it]
Epoch 43, training loss 0.131:  57%|█████▋    | 104/182 [02:08<01:36,  1.24s/it]
Epoch 43, training loss 0.131:  58%|█████▊    | 105/182 [02:09<01:34,  1.23s/it]
Epoch 43, training loss 0.130:  58%|█████▊    | 105/182 [02:09<01:35,  1.24s/it]
Epoch 43, training loss 0.130:  58%|█████▊    | 106/182 [02:10<01:33,  1.23s/it]
Epoch 43, training loss 0.129:  58%|█████▊    | 106/182 [02:10<01:33,  1.23s/it]
Epoch 43, training loss 0.129:  59%|█████▉    | 107/182 [02:11<01:32,  1.23s/it]
Epoch 43, training loss 0.130:  59%|█████▉    | 107/182 [02:11<01:32,  1.23s/it]
Epoch 43, training loss 0.130:  59%|█████▉    | 108/182 [02:12<01:30,  1.23s/it]
Epoch 43, training loss 0.130:  59%|█████▉    | 108/182 [02:13<01:31,  1.23s/it]
Epoch 43, training loss 0.130:  60%|█████▉    | 109/182 [02:13<01:29,  1.23s/it]
Epoch 43, training loss 0.130:  60%|█████▉    | 109/182 [02:14<01:29,  1.23s/it]
Epoch 43, training loss 0.130:  60%|██████    | 110/182 [02:14<01:28,  1.23s/it]
Epoch 43, training loss 0.133:  60%|██████    | 110/182 [02:15<01:28,  1.23s/it]
Epoch 43, training loss 0.133:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 43, training loss 0.133:  61%|██████    | 111/182 [02:16<01:27,  1.23s/it]
Epoch 43, training loss 0.133:  62%|██████▏   | 112/182 [02:17<01:25,  1.22s/it]
Epoch 43, training loss 0.133:  62%|██████▏   | 112/182 [02:17<01:26,  1.23s/it]
Epoch 43, training loss 0.133:  62%|██████▏   | 113/182 [02:18<01:24,  1.22s/it]
Epoch 43, training loss 0.132:  62%|██████▏   | 113/182 [02:18<01:24,  1.23s/it]
Epoch 43, training loss 0.132:  63%|██████▎   | 114/182 [02:19<01:23,  1.22s/it]
Epoch 43, training loss 0.133:  63%|██████▎   | 114/182 [02:20<01:23,  1.23s/it]
Epoch 43, training loss 0.133:  63%|██████▎   | 115/182 [02:20<01:21,  1.22s/it]
Epoch 43, training loss 0.133:  63%|██████▎   | 115/182 [02:21<01:22,  1.23s/it]
Epoch 43, training loss 0.133:  64%|██████▎   | 116/182 [02:21<01:20,  1.22s/it]
Epoch 43, training loss 0.133:  64%|██████▎   | 116/182 [02:22<01:21,  1.23s/it]
Epoch 43, training loss 0.133:  64%|██████▍   | 117/182 [02:22<01:19,  1.22s/it]
Epoch 43, training loss 0.133:  64%|██████▍   | 117/182 [02:23<01:19,  1.23s/it]
Epoch 43, training loss 0.133:  65%|██████▍   | 118/182 [02:24<01:18,  1.22s/it]
Epoch 43, training loss 0.135:  65%|██████▍   | 118/182 [02:24<01:18,  1.23s/it]
Epoch 43, training loss 0.135:  65%|██████▌   | 119/182 [02:25<01:16,  1.22s/it]
Epoch 43, training loss 0.137:  65%|██████▌   | 119/182 [02:25<01:17,  1.22s/it]
Epoch 43, training loss 0.137:  66%|██████▌   | 120/182 [02:26<01:15,  1.22s/it]
Epoch 43, training loss 0.137:  66%|██████▌   | 120/182 [02:26<01:15,  1.22s/it]
Epoch 43, training loss 0.137:  66%|██████▋   | 121/182 [02:27<01:14,  1.22s/it]
Epoch 43, training loss 0.136:  66%|██████▋   | 121/182 [02:27<01:14,  1.22s/it]
Epoch 43, training loss 0.136:  67%|██████▋   | 122/182 [02:28<01:12,  1.22s/it]
Epoch 43, training loss 0.142:  67%|██████▋   | 122/182 [02:29<01:13,  1.22s/it]
Epoch 43, training loss 0.142:  68%|██████▊   | 123/182 [02:29<01:11,  1.22s/it]
Epoch 43, training loss 0.143:  68%|██████▊   | 123/182 [02:30<01:11,  1.22s/it]
Epoch 43, training loss 0.143:  68%|██████▊   | 124/182 [02:30<01:10,  1.21s/it]
Epoch 43, training loss 0.143:  68%|██████▊   | 124/182 [02:31<01:10,  1.22s/it]
Epoch 43, training loss 0.143:  69%|██████▊   | 125/182 [02:31<01:09,  1.21s/it]
Epoch 43, training loss 0.142:  69%|██████▊   | 125/182 [02:32<01:09,  1.22s/it]
Epoch 43, training loss 0.142:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 43, training loss 0.141:  69%|██████▉   | 126/182 [02:33<01:08,  1.22s/it]
Epoch 43, training loss 0.141:  70%|██████▉   | 127/182 [02:34<01:06,  1.21s/it]
Epoch 43, training loss 0.140:  70%|██████▉   | 127/182 [02:34<01:07,  1.22s/it]
Epoch 43, training loss 0.140:  70%|███████   | 128/182 [02:35<01:05,  1.21s/it]
Epoch 43, training loss 0.140:  70%|███████   | 128/182 [02:35<01:05,  1.22s/it]
Epoch 43, training loss 0.140:  71%|███████   | 129/182 [02:36<01:04,  1.21s/it]
Epoch 43, training loss 0.139:  71%|███████   | 129/182 [02:36<01:04,  1.22s/it]
Epoch 43, training loss 0.139:  71%|███████▏  | 130/182 [02:37<01:02,  1.21s/it]
Epoch 43, training loss 0.138:  71%|███████▏  | 130/182 [02:37<01:03,  1.21s/it]
Epoch 43, training loss 0.138:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 43, training loss 0.138:  72%|███████▏  | 131/182 [02:39<01:01,  1.21s/it]
Epoch 43, training loss 0.138:  73%|███████▎  | 132/182 [02:39<01:00,  1.21s/it]
Epoch 43, training loss 0.137:  73%|███████▎  | 132/182 [02:40<01:00,  1.21s/it]
Epoch 43, training loss 0.137:  73%|███████▎  | 133/182 [02:40<00:59,  1.21s/it]
Epoch 43, training loss 0.137:  73%|███████▎  | 133/182 [02:41<00:59,  1.21s/it]
Epoch 43, training loss 0.137:  74%|███████▎  | 134/182 [02:41<00:57,  1.21s/it]
Epoch 43, training loss 0.136:  74%|███████▎  | 134/182 [02:42<00:58,  1.21s/it]
Epoch 43, training loss 0.136:  74%|███████▍  | 135/182 [02:43<00:56,  1.21s/it]
Epoch 43, training loss 0.136:  74%|███████▍  | 135/182 [02:43<00:57,  1.21s/it]
Epoch 43, training loss 0.136:  75%|███████▍  | 136/182 [02:44<00:55,  1.21s/it]
Epoch 43, training loss 0.136:  75%|███████▍  | 136/182 [02:45<00:55,  1.21s/it]
Epoch 43, training loss 0.136:  75%|███████▌  | 137/182 [02:45<00:54,  1.21s/it]
Epoch 43, training loss 0.135:  75%|███████▌  | 137/182 [02:46<00:54,  1.21s/it]
Epoch 43, training loss 0.135:  76%|███████▌  | 138/182 [02:46<00:53,  1.21s/it]
Epoch 43, training loss 0.135:  76%|███████▌  | 138/182 [02:47<00:53,  1.21s/it]
Epoch 43, training loss 0.135:  76%|███████▋  | 139/182 [02:47<00:51,  1.21s/it]
Epoch 43, training loss 0.134:  76%|███████▋  | 139/182 [02:48<00:52,  1.21s/it]
Epoch 43, training loss 0.134:  77%|███████▋  | 140/182 [02:48<00:50,  1.21s/it]
Epoch 43, training loss 0.134:  77%|███████▋  | 140/182 [02:49<00:50,  1.21s/it]
Epoch 43, training loss 0.134:  77%|███████▋  | 141/182 [02:50<00:49,  1.21s/it]
Epoch 43, training loss 0.133:  77%|███████▋  | 141/182 [02:50<00:49,  1.21s/it]
Epoch 43, training loss 0.133:  78%|███████▊  | 142/182 [02:51<00:48,  1.21s/it]
Epoch 43, training loss 0.133:  78%|███████▊  | 142/182 [02:51<00:48,  1.21s/it]
Epoch 43, training loss 0.133:  79%|███████▊  | 143/182 [02:52<00:46,  1.20s/it]
Epoch 43, training loss 0.133:  79%|███████▊  | 143/182 [02:53<00:47,  1.21s/it]
Epoch 43, training loss 0.133:  79%|███████▉  | 144/182 [02:53<00:45,  1.20s/it]
Epoch 43, training loss 0.132:  79%|███████▉  | 144/182 [02:54<00:45,  1.21s/it]
Epoch 43, training loss 0.132:  80%|███████▉  | 145/182 [02:54<00:44,  1.20s/it]
Epoch 43, training loss 0.132:  80%|███████▉  | 145/182 [02:55<00:44,  1.21s/it]
Epoch 43, training loss 0.132:  80%|████████  | 146/182 [02:55<00:43,  1.20s/it]
Epoch 43, training loss 0.131:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 43, training loss 0.131:  81%|████████  | 147/182 [02:56<00:42,  1.20s/it]
Epoch 43, training loss 0.132:  81%|████████  | 147/182 [02:57<00:42,  1.21s/it]
Epoch 43, training loss 0.132:  81%|████████▏ | 148/182 [02:58<00:40,  1.20s/it]
Epoch 43, training loss 0.131:  81%|████████▏ | 148/182 [02:58<00:41,  1.21s/it]
Epoch 43, training loss 0.131:  82%|████████▏ | 149/182 [02:59<00:39,  1.20s/it]
Epoch 43, training loss 0.131:  82%|████████▏ | 149/182 [02:59<00:39,  1.21s/it]
Epoch 43, training loss 0.131:  82%|████████▏ | 150/182 [03:00<00:38,  1.20s/it]
Epoch 43, training loss 0.131:  82%|████████▏ | 150/182 [03:01<00:38,  1.21s/it]
Epoch 43, training loss 0.131:  83%|████████▎ | 151/182 [03:01<00:37,  1.20s/it]
Epoch 43, training loss 0.131:  83%|████████▎ | 151/182 [03:02<00:37,  1.21s/it]
Epoch 43, training loss 0.131:  84%|████████▎ | 152/182 [03:02<00:36,  1.20s/it]
Epoch 43, training loss 0.130:  84%|████████▎ | 152/182 [03:03<00:36,  1.21s/it]
Epoch 43, training loss 0.130:  84%|████████▍ | 153/182 [03:03<00:34,  1.20s/it]
Epoch 43, training loss 0.132:  84%|████████▍ | 153/182 [03:04<00:34,  1.21s/it]
Epoch 43, training loss 0.132:  85%|████████▍ | 154/182 [03:05<00:33,  1.20s/it]
Epoch 43, training loss 0.131:  85%|████████▍ | 154/182 [03:05<00:33,  1.21s/it]
Epoch 43, training loss 0.131:  85%|████████▌ | 155/182 [03:06<00:32,  1.20s/it]
Epoch 43, training loss 0.132:  85%|████████▌ | 155/182 [03:06<00:32,  1.21s/it]
Epoch 43, training loss 0.132:  86%|████████▌ | 156/182 [03:07<00:31,  1.20s/it]
Epoch 43, training loss 0.132:  86%|████████▌ | 156/182 [03:08<00:31,  1.21s/it]
Epoch 43, training loss 0.132:  86%|████████▋ | 157/182 [03:08<00:30,  1.20s/it]
Epoch 43, training loss 0.132:  86%|████████▋ | 157/182 [03:09<00:30,  1.21s/it]
Epoch 43, training loss 0.132:  87%|████████▋ | 158/182 [03:09<00:28,  1.20s/it]
Epoch 43, training loss 0.132:  87%|████████▋ | 158/182 [03:10<00:28,  1.20s/it]
Epoch 43, training loss 0.132:  87%|████████▋ | 159/182 [03:10<00:27,  1.20s/it]
Epoch 43, training loss 0.131:  87%|████████▋ | 159/182 [03:11<00:27,  1.20s/it]
Epoch 43, training loss 0.131:  88%|████████▊ | 160/182 [03:11<00:26,  1.20s/it]
Epoch 43, training loss 0.131:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 43, training loss 0.131:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 43, training loss 0.133:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 43, training loss 0.133:  89%|████████▉ | 162/182 [03:14<00:23,  1.20s/it]
Epoch 43, training loss 0.134:  89%|████████▉ | 162/182 [03:14<00:24,  1.20s/it]
Epoch 43, training loss 0.134:  90%|████████▉ | 163/182 [03:15<00:22,  1.20s/it]
Epoch 43, training loss 0.133:  90%|████████▉ | 163/182 [03:16<00:22,  1.20s/it]
Epoch 43, training loss 0.133:  90%|█████████ | 164/182 [03:16<00:21,  1.20s/it]
Epoch 43, training loss 0.133:  90%|█████████ | 164/182 [03:17<00:21,  1.20s/it]
Epoch 43, training loss 0.133:  91%|█████████ | 165/182 [03:17<00:20,  1.20s/it]
Epoch 43, training loss 0.132:  91%|█████████ | 165/182 [03:18<00:20,  1.20s/it]
Epoch 43, training loss 0.132:  91%|█████████ | 166/182 [03:18<00:19,  1.20s/it]
Epoch 43, training loss 0.132:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 43, training loss 0.132:  92%|█████████▏| 167/182 [03:20<00:17,  1.20s/it]
Epoch 43, training loss 0.132:  92%|█████████▏| 167/182 [03:20<00:18,  1.20s/it]
Epoch 43, training loss 0.132:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 43, training loss 0.131:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 43, training loss 0.131:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 43, training loss 0.131:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 43, training loss 0.131:  93%|█████████▎| 170/182 [03:23<00:14,  1.20s/it]
Epoch 43, training loss 0.132:  93%|█████████▎| 170/182 [03:24<00:14,  1.20s/it]
Epoch 43, training loss 0.132:  94%|█████████▍| 171/182 [03:24<00:13,  1.20s/it]
Epoch 43, training loss 0.132:  94%|█████████▍| 171/182 [03:25<00:13,  1.20s/it]
Epoch 43, training loss 0.132:  95%|█████████▍| 172/182 [03:25<00:11,  1.20s/it]
Epoch 43, training loss 0.131:  95%|█████████▍| 172/182 [03:26<00:11,  1.20s/it]
Epoch 43, training loss 0.131:  95%|█████████▌| 173/182 [03:26<00:10,  1.20s/it]
Epoch 43, training loss 0.131:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 43, training loss 0.131:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 43, training loss 0.133:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 43, training loss 0.133:  96%|█████████▌| 175/182 [03:29<00:08,  1.20s/it]
Epoch 43, training loss 0.132:  96%|█████████▌| 175/182 [03:29<00:08,  1.20s/it]
Epoch 43, training loss 0.132:  97%|█████████▋| 176/182 [03:30<00:07,  1.19s/it]
Epoch 43, training loss 0.133:  97%|█████████▋| 176/182 [03:30<00:07,  1.20s/it]
Epoch 43, training loss 0.133:  97%|█████████▋| 177/182 [03:31<00:05,  1.19s/it]
Epoch 43, training loss 0.132:  97%|█████████▋| 177/182 [03:32<00:05,  1.20s/it]
Epoch 43, training loss 0.132:  98%|█████████▊| 178/182 [03:32<00:04,  1.19s/it]
Epoch 43, training loss 0.132:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 43, training loss 0.132:  98%|█████████▊| 179/182 [03:33<00:03,  1.19s/it]
Epoch 43, training loss 0.132:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 43, training loss 0.132:  99%|█████████▉| 180/182 [03:35<00:02,  1.19s/it]
Epoch 43, training loss 0.132:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 43, training loss 0.132:  99%|█████████▉| 181/182 [03:36<00:01,  1.19s/it]
Epoch 43, training loss 0.132:  99%|█████████▉| 181/182 [03:36<00:01,  1.20s/it]
Epoch 43, training loss 0.132: 100%|██████████| 182/182 [03:37<00:00,  1.19s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.577:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.577:   1%|          | 1/90 [00:04<06:44,  4.54s/it]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.729:   1%|          | 1/90 [00:04<07:22,  4.97s/it]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.729:   2%|▏         | 2/90 [00:04<03:38,  2.48s/it]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.798:   2%|▏         | 2/90 [00:05<03:56,  2.69s/it]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.798:   3%|▎         | 3/90 [00:05<02:35,  1.79s/it]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.847:   3%|▎         | 3/90 [00:05<02:48,  1.94s/it]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.847:   4%|▍         | 4/90 [00:05<02:05,  1.45s/it]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.901:   4%|▍         | 4/90 [00:06<02:14,  1.56s/it]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.901:   6%|▌         | 5/90 [00:06<01:46,  1.25s/it]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.904:   6%|▌         | 5/90 [00:06<01:54,  1.34s/it]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.904:   7%|▋         | 6/90 [00:06<01:33,  1.12s/it]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.895:   7%|▋         | 6/90 [00:07<01:39,  1.19s/it]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.895:   8%|▊         | 7/90 [00:07<01:24,  1.02s/it]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.896:   8%|▊         | 7/90 [00:07<01:29,  1.08s/it]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.896:   9%|▉         | 8/90 [00:07<01:17,  1.06it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.897:   9%|▉         | 8/90 [00:08<01:22,  1.01s/it]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.897:  10%|█         | 9/90 [00:08<01:12,  1.12it/s]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.907:  10%|█         | 9/90 [00:08<01:16,  1.06it/s]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.907:  11%|█         | 10/90 [00:08<01:07,  1.18it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.907:  11%|█         | 10/90 [00:08<01:11,  1.12it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.907:  12%|█▏        | 11/90 [00:08<01:03,  1.24it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.903:  12%|█▏        | 11/90 [00:09<01:07,  1.18it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.903:  13%|█▎        | 12/90 [00:09<01:00,  1.29it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.908:  13%|█▎        | 12/90 [00:09<01:03,  1.23it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.908:  14%|█▍        | 13/90 [00:09<00:57,  1.33it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.914:  14%|█▍        | 13/90 [00:10<01:00,  1.27it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.914:  16%|█▌        | 14/90 [00:10<00:55,  1.37it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.913:  16%|█▌        | 14/90 [00:10<00:57,  1.31it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.913:  17%|█▋        | 15/90 [00:10<00:53,  1.41it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.919:  17%|█▋        | 15/90 [00:11<00:55,  1.35it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.919:  18%|█▊        | 16/90 [00:11<00:51,  1.44it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.917:  18%|█▊        | 16/90 [00:11<00:53,  1.39it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.917:  19%|█▉        | 17/90 [00:11<00:49,  1.48it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.914:  19%|█▉        | 17/90 [00:11<00:51,  1.42it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.914:  20%|██        | 18/90 [00:11<00:47,  1.51it/s]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.910:  20%|██        | 18/90 [00:12<00:49,  1.46it/s]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.910:  21%|██        | 19/90 [00:12<00:46,  1.54it/s]
Epoch 43, validation pixAcc: 0.978, mIoU: 0.907:  21%|██        | 19/90 [00:12<00:47,  1.48it/s]
Epoch 43, validation pixAcc: 0.978, mIoU: 0.907:  22%|██▏       | 20/90 [00:12<00:44,  1.56it/s]
Epoch 43, validation pixAcc: 0.978, mIoU: 0.908:  22%|██▏       | 20/90 [00:13<00:46,  1.51it/s]
Epoch 43, validation pixAcc: 0.978, mIoU: 0.908:  23%|██▎       | 21/90 [00:13<00:43,  1.59it/s]
Epoch 43, validation pixAcc: 0.978, mIoU: 0.908:  23%|██▎       | 21/90 [00:13<00:44,  1.53it/s]
Epoch 43, validation pixAcc: 0.978, mIoU: 0.908:  24%|██▍       | 22/90 [00:13<00:42,  1.61it/s]
Epoch 43, validation pixAcc: 0.978, mIoU: 0.910:  24%|██▍       | 22/90 [00:14<00:43,  1.56it/s]
Epoch 43, validation pixAcc: 0.978, mIoU: 0.910:  26%|██▌       | 23/90 [00:14<00:41,  1.63it/s]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.909:  26%|██▌       | 23/90 [00:14<00:42,  1.59it/s]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.909:  27%|██▋       | 24/90 [00:14<00:39,  1.66it/s]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.910:  27%|██▋       | 24/90 [00:14<00:41,  1.61it/s]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.910:  28%|██▊       | 25/90 [00:14<00:38,  1.67it/s]
Epoch 43, validation pixAcc: 0.978, mIoU: 0.910:  28%|██▊       | 25/90 [00:15<00:39,  1.63it/s]
Epoch 43, validation pixAcc: 0.978, mIoU: 0.910:  29%|██▉       | 26/90 [00:15<00:37,  1.69it/s]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.914:  29%|██▉       | 26/90 [00:15<00:38,  1.65it/s]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.914:  30%|███       | 27/90 [00:15<00:36,  1.71it/s]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.915:  30%|███       | 27/90 [00:16<00:37,  1.67it/s]
Epoch 43, validation pixAcc: 0.979, mIoU: 0.915:  31%|███       | 28/90 [00:16<00:35,  1.73it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.915:  31%|███       | 28/90 [00:16<00:36,  1.68it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.915:  32%|███▏      | 29/90 [00:16<00:34,  1.74it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.916:  32%|███▏      | 29/90 [00:17<00:35,  1.70it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.916:  33%|███▎      | 30/90 [00:17<00:34,  1.76it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.918:  33%|███▎      | 30/90 [00:17<00:34,  1.72it/s]
Epoch 43, validation pixAcc: 0.980, mIoU: 0.918:  34%|███▍      | 31/90 [00:17<00:33,  1.78it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.918:  34%|███▍      | 31/90 [00:17<00:33,  1.74it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.918:  36%|███▌      | 32/90 [00:17<00:32,  1.79it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.919:  36%|███▌      | 32/90 [00:18<00:33,  1.75it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.919:  37%|███▋      | 33/90 [00:18<00:31,  1.81it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.920:  37%|███▋      | 33/90 [00:18<00:32,  1.77it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.920:  38%|███▊      | 34/90 [00:18<00:30,  1.82it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.920:  38%|███▊      | 34/90 [00:19<00:31,  1.78it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.920:  39%|███▉      | 35/90 [00:19<00:30,  1.83it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.920:  39%|███▉      | 35/90 [00:19<00:30,  1.79it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.920:  40%|████      | 36/90 [00:19<00:29,  1.84it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.920:  40%|████      | 36/90 [00:19<00:29,  1.80it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.920:  41%|████      | 37/90 [00:19<00:28,  1.85it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.920:  41%|████      | 37/90 [00:20<00:29,  1.82it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.920:  42%|████▏     | 38/90 [00:20<00:27,  1.87it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.921:  42%|████▏     | 38/90 [00:20<00:28,  1.83it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.921:  43%|████▎     | 39/90 [00:20<00:27,  1.88it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.922:  43%|████▎     | 39/90 [00:21<00:27,  1.85it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.922:  44%|████▍     | 40/90 [00:21<00:26,  1.89it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.921:  44%|████▍     | 40/90 [00:21<00:26,  1.86it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.921:  46%|████▌     | 41/90 [00:21<00:25,  1.90it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.922:  46%|████▌     | 41/90 [00:21<00:26,  1.86it/s]
Epoch 43, validation pixAcc: 0.981, mIoU: 0.922:  47%|████▋     | 42/90 [00:21<00:25,  1.91it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.922:  47%|████▋     | 42/90 [00:22<00:25,  1.87it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.922:  48%|████▊     | 43/90 [00:22<00:24,  1.92it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.923:  48%|████▊     | 43/90 [00:22<00:25,  1.88it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.923:  49%|████▉     | 44/90 [00:22<00:23,  1.92it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.923:  49%|████▉     | 44/90 [00:23<00:24,  1.89it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.923:  50%|█████     | 45/90 [00:23<00:23,  1.93it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.924:  50%|█████     | 45/90 [00:23<00:23,  1.89it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.924:  51%|█████     | 46/90 [00:23<00:22,  1.94it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.924:  51%|█████     | 46/90 [00:24<00:23,  1.90it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.924:  52%|█████▏    | 47/90 [00:24<00:22,  1.94it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.923:  52%|█████▏    | 47/90 [00:24<00:22,  1.91it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.923:  53%|█████▎    | 48/90 [00:24<00:21,  1.95it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.923:  53%|█████▎    | 48/90 [00:25<00:21,  1.92it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.923:  54%|█████▍    | 49/90 [00:25<00:20,  1.96it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.923:  54%|█████▍    | 49/90 [00:25<00:21,  1.92it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.923:  56%|█████▌    | 50/90 [00:25<00:20,  1.96it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.924:  56%|█████▌    | 50/90 [00:25<00:20,  1.93it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.924:  57%|█████▋    | 51/90 [00:25<00:19,  1.97it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.924:  57%|█████▋    | 51/90 [00:26<00:20,  1.94it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.924:  58%|█████▊    | 52/90 [00:26<00:19,  1.98it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.923:  58%|█████▊    | 52/90 [00:26<00:19,  1.95it/s]
Epoch 43, validation pixAcc: 0.982, mIoU: 0.923:  59%|█████▉    | 53/90 [00:26<00:18,  1.98it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.923:  59%|█████▉    | 53/90 [00:27<00:18,  1.95it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.923:  60%|██████    | 54/90 [00:27<00:18,  1.99it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.923:  60%|██████    | 54/90 [00:27<00:18,  1.96it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.923:  61%|██████    | 55/90 [00:27<00:17,  1.99it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.924:  61%|██████    | 55/90 [00:27<00:17,  1.96it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.924:  62%|██████▏   | 56/90 [00:27<00:16,  2.00it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.924:  62%|██████▏   | 56/90 [00:28<00:17,  1.97it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.924:  63%|██████▎   | 57/90 [00:28<00:16,  2.00it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.924:  63%|██████▎   | 57/90 [00:28<00:16,  1.97it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.924:  64%|██████▍   | 58/90 [00:28<00:15,  2.01it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.924:  64%|██████▍   | 58/90 [00:29<00:16,  1.98it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.924:  66%|██████▌   | 59/90 [00:29<00:15,  2.01it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.924:  66%|██████▌   | 59/90 [00:29<00:15,  1.98it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.924:  67%|██████▋   | 60/90 [00:29<00:14,  2.02it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.925:  67%|██████▋   | 60/90 [00:30<00:15,  1.99it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.925:  68%|██████▊   | 61/90 [00:30<00:14,  2.02it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.925:  68%|██████▊   | 61/90 [00:30<00:14,  2.00it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.925:  69%|██████▉   | 62/90 [00:30<00:13,  2.03it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.925:  69%|██████▉   | 62/90 [00:30<00:13,  2.00it/s]
Epoch 43, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 63/90 [00:30<00:13,  2.04it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.926:  70%|███████   | 63/90 [00:31<00:13,  2.01it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.926:  71%|███████   | 64/90 [00:31<00:12,  2.04it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.926:  71%|███████   | 64/90 [00:31<00:12,  2.01it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.926:  72%|███████▏  | 65/90 [00:31<00:12,  2.05it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.926:  72%|███████▏  | 65/90 [00:32<00:12,  2.02it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.926:  73%|███████▎  | 66/90 [00:32<00:11,  2.05it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.926:  73%|███████▎  | 66/90 [00:32<00:11,  2.03it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.926:  74%|███████▍  | 67/90 [00:32<00:11,  2.06it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.926:  74%|███████▍  | 67/90 [00:33<00:11,  2.03it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.926:  76%|███████▌  | 68/90 [00:33<00:10,  2.06it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.926:  76%|███████▌  | 68/90 [00:33<00:10,  2.03it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.926:  77%|███████▋  | 69/90 [00:33<00:10,  2.06it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.927:  77%|███████▋  | 69/90 [00:33<00:10,  2.04it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.927:  78%|███████▊  | 70/90 [00:33<00:09,  2.07it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.927:  78%|███████▊  | 70/90 [00:34<00:09,  2.04it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.927:  79%|███████▉  | 71/90 [00:34<00:09,  2.07it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.927:  79%|███████▉  | 71/90 [00:34<00:09,  2.04it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.927:  80%|████████  | 72/90 [00:34<00:08,  2.07it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.927:  80%|████████  | 72/90 [00:35<00:08,  2.05it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.927:  81%|████████  | 73/90 [00:35<00:08,  2.07it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.927:  81%|████████  | 73/90 [00:35<00:08,  2.05it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.927:  82%|████████▏ | 74/90 [00:35<00:07,  2.08it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.927:  82%|████████▏ | 74/90 [00:36<00:07,  2.05it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.927:  83%|████████▎ | 75/90 [00:36<00:07,  2.08it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.927:  83%|████████▎ | 75/90 [00:36<00:07,  2.06it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.927:  84%|████████▍ | 76/90 [00:36<00:06,  2.08it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.928:  84%|████████▍ | 76/90 [00:36<00:06,  2.06it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.928:  86%|████████▌ | 77/90 [00:36<00:06,  2.09it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.928:  86%|████████▌ | 77/90 [00:37<00:06,  2.06it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.928:  87%|████████▋ | 78/90 [00:37<00:05,  2.09it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.928:  87%|████████▋ | 78/90 [00:37<00:05,  2.07it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.928:  88%|████████▊ | 79/90 [00:37<00:05,  2.09it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.928:  88%|████████▊ | 79/90 [00:38<00:05,  2.07it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.928:  89%|████████▉ | 80/90 [00:38<00:04,  2.10it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.928:  89%|████████▉ | 80/90 [00:38<00:04,  2.08it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.928:  90%|█████████ | 81/90 [00:38<00:04,  2.10it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  90%|█████████ | 81/90 [00:38<00:04,  2.08it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  91%|█████████ | 82/90 [00:38<00:03,  2.10it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  91%|█████████ | 82/90 [00:39<00:03,  2.08it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  92%|█████████▏| 83/90 [00:39<00:03,  2.11it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  92%|█████████▏| 83/90 [00:39<00:03,  2.09it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  93%|█████████▎| 84/90 [00:39<00:02,  2.11it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  93%|█████████▎| 84/90 [00:40<00:02,  2.09it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  94%|█████████▍| 85/90 [00:40<00:02,  2.11it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  94%|█████████▍| 85/90 [00:40<00:02,  2.09it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  96%|█████████▌| 86/90 [00:40<00:01,  2.12it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  96%|█████████▌| 86/90 [00:40<00:01,  2.10it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  97%|█████████▋| 87/90 [00:40<00:01,  2.12it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  97%|█████████▋| 87/90 [00:41<00:01,  2.10it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  98%|█████████▊| 88/90 [00:41<00:00,  2.12it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  98%|█████████▊| 88/90 [00:41<00:00,  2.10it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  99%|█████████▉| 89/90 [00:41<00:00,  2.13it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929:  99%|█████████▉| 89/90 [00:42<00:00,  2.11it/s]
Epoch 43, validation pixAcc: 0.984, mIoU: 0.929: 100%|██████████| 90/90 [00:42<00:00,  2.13it/s]

  0%|          | 0/182 [00:00<?, ?it/s]
Epoch 44, training loss 0.933:   0%|          | 0/182 [00:05<?, ?it/s]
Epoch 44, training loss 0.933:   1%|          | 1/182 [00:05<16:47,  5.57s/it]
Epoch 44, training loss 0.483:   1%|          | 1/182 [00:06<18:54,  6.27s/it]
Epoch 44, training loss 0.483:   1%|          | 2/182 [00:06<10:09,  3.39s/it]
Epoch 44, training loss 0.343:   1%|          | 2/182 [00:07<11:09,  3.72s/it]
Epoch 44, training loss 0.343:   2%|▏         | 3/182 [00:07<07:54,  2.65s/it]
Epoch 44, training loss 0.275:   2%|▏         | 3/182 [00:08<08:42,  2.92s/it]
Epoch 44, training loss 0.275:   2%|▏         | 4/182 [00:09<06:52,  2.32s/it]
Epoch 44, training loss 0.248:   2%|▏         | 4/182 [00:09<07:24,  2.50s/it]
Epoch 44, training loss 0.248:   3%|▎         | 5/182 [00:10<06:11,  2.10s/it]
Epoch 44, training loss 0.210:   3%|▎         | 5/182 [00:11<06:36,  2.24s/it]
Epoch 44, training loss 0.210:   3%|▎         | 6/182 [00:11<05:43,  1.95s/it]
Epoch 44, training loss 0.185:   3%|▎         | 6/182 [00:12<06:05,  2.08s/it]
Epoch 44, training loss 0.185:   4%|▍         | 7/182 [00:12<05:23,  1.85s/it]
Epoch 44, training loss 0.170:   4%|▍         | 7/182 [00:13<05:40,  1.94s/it]
Epoch 44, training loss 0.170:   4%|▍         | 8/182 [00:14<05:07,  1.77s/it]
Epoch 44, training loss 0.158:   4%|▍         | 8/182 [00:14<05:24,  1.87s/it]
Epoch 44, training loss 0.158:   5%|▍         | 9/182 [00:15<04:56,  1.71s/it]
Epoch 44, training loss 0.157:   5%|▍         | 9/182 [00:16<05:10,  1.79s/it]
Epoch 44, training loss 0.157:   5%|▌         | 10/182 [00:16<04:46,  1.66s/it]
Epoch 44, training loss 0.150:   5%|▌         | 10/182 [00:17<04:58,  1.73s/it]
Epoch 44, training loss 0.150:   6%|▌         | 11/182 [00:17<04:37,  1.62s/it]
Epoch 44, training loss 0.140:   6%|▌         | 11/182 [00:18<04:48,  1.69s/it]
Epoch 44, training loss 0.140:   7%|▋         | 12/182 [00:19<04:30,  1.59s/it]
Epoch 44, training loss 0.132:   7%|▋         | 12/182 [00:19<04:39,  1.65s/it]
Epoch 44, training loss 0.132:   7%|▋         | 13/182 [00:20<04:23,  1.56s/it]
Epoch 44, training loss 0.143:   7%|▋         | 13/182 [00:20<04:31,  1.61s/it]
Epoch 44, training loss 0.143:   8%|▊         | 14/182 [00:21<04:16,  1.53s/it]
Epoch 44, training loss 0.137:   8%|▊         | 14/182 [00:22<04:24,  1.58s/it]
Epoch 44, training loss 0.137:   8%|▊         | 15/182 [00:22<04:11,  1.50s/it]
Epoch 44, training loss 0.132:   8%|▊         | 15/182 [00:23<04:19,  1.55s/it]
Epoch 44, training loss 0.132:   9%|▉         | 16/182 [00:23<04:06,  1.49s/it]
Epoch 44, training loss 0.132:   9%|▉         | 16/182 [00:24<04:13,  1.53s/it]
Epoch 44, training loss 0.132:   9%|▉         | 17/182 [00:24<04:02,  1.47s/it]
Epoch 44, training loss 0.143:   9%|▉         | 17/182 [00:25<04:08,  1.51s/it]
Epoch 44, training loss 0.143:  10%|▉         | 18/182 [00:26<03:58,  1.45s/it]
Epoch 44, training loss 0.142:  10%|▉         | 18/182 [00:26<04:05,  1.50s/it]
Epoch 44, training loss 0.142:  10%|█         | 19/182 [00:27<03:55,  1.44s/it]
Epoch 44, training loss 0.136:  10%|█         | 19/182 [00:28<04:01,  1.48s/it]
Epoch 44, training loss 0.136:  11%|█         | 20/182 [00:28<03:52,  1.43s/it]
Epoch 44, training loss 0.132:  11%|█         | 20/182 [00:29<03:58,  1.47s/it]
Epoch 44, training loss 0.132:  12%|█▏        | 21/182 [00:29<03:49,  1.43s/it]
Epoch 44, training loss 0.127:  12%|█▏        | 21/182 [00:30<03:54,  1.46s/it]
Epoch 44, training loss 0.127:  12%|█▏        | 22/182 [00:31<03:46,  1.42s/it]
Epoch 44, training loss 0.125:  12%|█▏        | 22/182 [00:31<03:51,  1.45s/it]
Epoch 44, training loss 0.125:  13%|█▎        | 23/182 [00:32<03:43,  1.41s/it]
Epoch 44, training loss 0.121:  13%|█▎        | 23/182 [00:33<03:49,  1.44s/it]
Epoch 44, training loss 0.121:  13%|█▎        | 24/182 [00:33<03:41,  1.40s/it]
Epoch 44, training loss 0.118:  13%|█▎        | 24/182 [00:34<03:47,  1.44s/it]
Epoch 44, training loss 0.118:  14%|█▎        | 25/182 [00:34<03:39,  1.40s/it]
Epoch 44, training loss 0.114:  14%|█▎        | 25/182 [00:35<03:44,  1.43s/it]
Epoch 44, training loss 0.114:  14%|█▍        | 26/182 [00:36<03:37,  1.40s/it]
Epoch 44, training loss 0.116:  14%|█▍        | 26/182 [00:37<03:42,  1.42s/it]
Epoch 44, training loss 0.116:  15%|█▍        | 27/182 [00:37<03:35,  1.39s/it]
Epoch 44, training loss 0.119:  15%|█▍        | 27/182 [00:38<03:39,  1.41s/it]
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Epoch 44, training loss 0.116:  15%|█▌        | 28/182 [00:39<03:36,  1.41s/it]
Epoch 44, training loss 0.116:  16%|█▌        | 29/182 [00:39<03:30,  1.37s/it]
Epoch 44, training loss 0.115:  16%|█▌        | 29/182 [00:40<03:33,  1.40s/it]
Epoch 44, training loss 0.115:  16%|█▋        | 30/182 [00:41<03:28,  1.37s/it]
Epoch 44, training loss 0.117:  16%|█▋        | 30/182 [00:41<03:31,  1.39s/it]
Epoch 44, training loss 0.117:  17%|█▋        | 31/182 [00:42<03:25,  1.36s/it]
Epoch 44, training loss 0.115:  17%|█▋        | 31/182 [00:42<03:29,  1.39s/it]
Epoch 44, training loss 0.115:  18%|█▊        | 32/182 [00:43<03:23,  1.36s/it]
Epoch 44, training loss 0.116:  18%|█▊        | 32/182 [00:44<03:26,  1.38s/it]
Epoch 44, training loss 0.116:  18%|█▊        | 33/182 [00:44<03:21,  1.35s/it]
Epoch 44, training loss 0.117:  18%|█▊        | 33/182 [00:45<03:24,  1.37s/it]
Epoch 44, training loss 0.117:  19%|█▊        | 34/182 [00:45<03:19,  1.35s/it]
Epoch 44, training loss 0.117:  19%|█▊        | 34/182 [00:46<03:22,  1.37s/it]
Epoch 44, training loss 0.117:  19%|█▉        | 35/182 [00:46<03:17,  1.34s/it]
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Epoch 44, training loss 0.116:  20%|█▉        | 36/182 [00:48<03:14,  1.33s/it]
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Epoch 44, training loss 0.117:  20%|██        | 37/182 [00:50<03:16,  1.35s/it]
Epoch 44, training loss 0.117:  21%|██        | 38/182 [00:50<03:11,  1.33s/it]
Epoch 44, training loss 0.128:  21%|██        | 38/182 [00:51<03:13,  1.35s/it]
Epoch 44, training loss 0.128:  21%|██▏       | 39/182 [00:51<03:09,  1.32s/it]
Epoch 44, training loss 0.127:  21%|██▏       | 39/182 [00:52<03:11,  1.34s/it]
Epoch 44, training loss 0.127:  22%|██▏       | 40/182 [00:52<03:07,  1.32s/it]
Epoch 44, training loss 0.127:  22%|██▏       | 40/182 [00:53<03:10,  1.34s/it]
Epoch 44, training loss 0.127:  23%|██▎       | 41/182 [00:54<03:05,  1.32s/it]
Epoch 44, training loss 0.131:  23%|██▎       | 41/182 [00:54<03:07,  1.33s/it]
Epoch 44, training loss 0.131:  23%|██▎       | 42/182 [00:55<03:03,  1.31s/it]
Epoch 44, training loss 0.129:  23%|██▎       | 42/182 [00:55<03:06,  1.33s/it]
Epoch 44, training loss 0.129:  24%|██▎       | 43/182 [00:56<03:02,  1.31s/it]
Epoch 44, training loss 0.130:  24%|██▎       | 43/182 [00:56<03:04,  1.32s/it]
Epoch 44, training loss 0.130:  24%|██▍       | 44/182 [00:57<03:00,  1.31s/it]
Epoch 44, training loss 0.128:  24%|██▍       | 44/182 [00:58<03:02,  1.32s/it]
Epoch 44, training loss 0.128:  25%|██▍       | 45/182 [00:58<02:58,  1.30s/it]
Epoch 44, training loss 0.127:  25%|██▍       | 45/182 [00:59<03:00,  1.32s/it]
Epoch 44, training loss 0.127:  25%|██▌       | 46/182 [00:59<02:56,  1.30s/it]
Epoch 44, training loss 0.131:  25%|██▌       | 46/182 [01:00<02:58,  1.31s/it]
Epoch 44, training loss 0.131:  26%|██▌       | 47/182 [01:00<02:55,  1.30s/it]
Epoch 44, training loss 0.130:  26%|██▌       | 47/182 [01:01<02:57,  1.31s/it]
Epoch 44, training loss 0.130:  26%|██▋       | 48/182 [01:02<02:53,  1.29s/it]
Epoch 44, training loss 0.128:  26%|██▋       | 48/182 [01:02<02:55,  1.31s/it]
Epoch 44, training loss 0.128:  27%|██▋       | 49/182 [01:03<02:51,  1.29s/it]
Epoch 44, training loss 0.127:  27%|██▋       | 49/182 [01:04<02:53,  1.31s/it]
Epoch 44, training loss 0.127:  27%|██▋       | 50/182 [01:04<02:50,  1.29s/it]
Epoch 44, training loss 0.127:  27%|██▋       | 50/182 [01:05<02:52,  1.30s/it]
Epoch 44, training loss 0.127:  28%|██▊       | 51/182 [01:05<02:48,  1.29s/it]
Epoch 44, training loss 0.125:  28%|██▊       | 51/182 [01:06<02:50,  1.30s/it]
Epoch 44, training loss 0.125:  29%|██▊       | 52/182 [01:06<02:47,  1.29s/it]
Epoch 44, training loss 0.123:  29%|██▊       | 52/182 [01:07<02:48,  1.30s/it]
Epoch 44, training loss 0.123:  29%|██▉       | 53/182 [01:07<02:45,  1.28s/it]
Epoch 44, training loss 0.123:  29%|██▉       | 53/182 [01:08<02:47,  1.30s/it]
Epoch 44, training loss 0.123:  30%|██▉       | 54/182 [01:09<02:43,  1.28s/it]
Epoch 44, training loss 0.121:  30%|██▉       | 54/182 [01:09<02:45,  1.29s/it]
Epoch 44, training loss 0.121:  30%|███       | 55/182 [01:10<02:42,  1.28s/it]
Epoch 44, training loss 0.125:  30%|███       | 55/182 [01:11<02:44,  1.29s/it]
Epoch 44, training loss 0.125:  31%|███       | 56/182 [01:11<02:41,  1.28s/it]
Epoch 44, training loss 0.124:  31%|███       | 56/182 [01:12<02:42,  1.29s/it]
Epoch 44, training loss 0.124:  31%|███▏      | 57/182 [01:12<02:39,  1.28s/it]
Epoch 44, training loss 0.125:  31%|███▏      | 57/182 [01:13<02:41,  1.29s/it]
Epoch 44, training loss 0.125:  32%|███▏      | 58/182 [01:14<02:38,  1.28s/it]
Epoch 44, training loss 0.124:  32%|███▏      | 58/182 [01:14<02:39,  1.29s/it]
Epoch 44, training loss 0.124:  32%|███▏      | 59/182 [01:15<02:36,  1.27s/it]
Epoch 44, training loss 0.123:  32%|███▏      | 59/182 [01:15<02:38,  1.29s/it]
Epoch 44, training loss 0.123:  33%|███▎      | 60/182 [01:16<02:35,  1.27s/it]
Epoch 44, training loss 0.126:  33%|███▎      | 60/182 [01:17<02:36,  1.29s/it]
Epoch 44, training loss 0.126:  34%|███▎      | 61/182 [01:17<02:33,  1.27s/it]
Epoch 44, training loss 0.125:  34%|███▎      | 61/182 [01:18<02:35,  1.28s/it]
Epoch 44, training loss 0.125:  34%|███▍      | 62/182 [01:18<02:32,  1.27s/it]
Epoch 44, training loss 0.125:  34%|███▍      | 62/182 [01:19<02:33,  1.28s/it]
Epoch 44, training loss 0.125:  35%|███▍      | 63/182 [01:19<02:30,  1.27s/it]
Epoch 44, training loss 0.125:  35%|███▍      | 63/182 [01:20<02:31,  1.28s/it]
Epoch 44, training loss 0.125:  35%|███▌      | 64/182 [01:20<02:29,  1.26s/it]
Epoch 44, training loss 0.124:  35%|███▌      | 64/182 [01:21<02:30,  1.27s/it]
Epoch 44, training loss 0.124:  36%|███▌      | 65/182 [01:22<02:27,  1.26s/it]
Epoch 44, training loss 0.123:  36%|███▌      | 65/182 [01:22<02:28,  1.27s/it]
Epoch 44, training loss 0.123:  36%|███▋      | 66/182 [01:23<02:26,  1.26s/it]
Epoch 44, training loss 0.123:  36%|███▋      | 66/182 [01:23<02:27,  1.27s/it]
Epoch 44, training loss 0.123:  37%|███▋      | 67/182 [01:24<02:24,  1.26s/it]
Epoch 44, training loss 0.122:  37%|███▋      | 67/182 [01:25<02:25,  1.27s/it]
Epoch 44, training loss 0.122:  37%|███▋      | 68/182 [01:25<02:23,  1.26s/it]
Epoch 44, training loss 0.120:  37%|███▋      | 68/182 [01:26<02:24,  1.27s/it]
Epoch 44, training loss 0.120:  38%|███▊      | 69/182 [01:26<02:21,  1.26s/it]
Epoch 44, training loss 0.119:  38%|███▊      | 69/182 [01:27<02:23,  1.27s/it]
Epoch 44, training loss 0.119:  38%|███▊      | 70/182 [01:27<02:20,  1.26s/it]
Epoch 44, training loss 0.119:  38%|███▊      | 70/182 [01:28<02:21,  1.26s/it]
Epoch 44, training loss 0.119:  39%|███▉      | 71/182 [01:28<02:19,  1.25s/it]
Epoch 44, training loss 0.117:  39%|███▉      | 71/182 [01:29<02:20,  1.26s/it]
Epoch 44, training loss 0.117:  40%|███▉      | 72/182 [01:30<02:17,  1.25s/it]
Epoch 44, training loss 0.117:  40%|███▉      | 72/182 [01:30<02:18,  1.26s/it]
Epoch 44, training loss 0.117:  40%|████      | 73/182 [01:31<02:16,  1.25s/it]
Epoch 44, training loss 0.119:  40%|████      | 73/182 [01:32<02:17,  1.26s/it]
Epoch 44, training loss 0.119:  41%|████      | 74/182 [01:32<02:15,  1.25s/it]
Epoch 44, training loss 0.122:  41%|████      | 74/182 [01:33<02:16,  1.26s/it]
Epoch 44, training loss 0.122:  41%|████      | 75/182 [01:33<02:13,  1.25s/it]
Epoch 44, training loss 0.122:  41%|████      | 75/182 [01:34<02:14,  1.26s/it]
Epoch 44, training loss 0.122:  42%|████▏     | 76/182 [01:34<02:12,  1.25s/it]
Epoch 44, training loss 0.121:  42%|████▏     | 76/182 [01:35<02:13,  1.26s/it]
Epoch 44, training loss 0.121:  42%|████▏     | 77/182 [01:36<02:11,  1.25s/it]
Epoch 44, training loss 0.120:  42%|████▏     | 77/182 [01:36<02:11,  1.26s/it]
Epoch 44, training loss 0.120:  43%|████▎     | 78/182 [01:37<02:09,  1.25s/it]
Epoch 44, training loss 0.119:  43%|████▎     | 78/182 [01:37<02:10,  1.26s/it]
Epoch 44, training loss 0.119:  43%|████▎     | 79/182 [01:38<02:08,  1.25s/it]
Epoch 44, training loss 0.126:  43%|████▎     | 79/182 [01:39<02:09,  1.25s/it]
Epoch 44, training loss 0.126:  44%|████▍     | 80/182 [01:39<02:07,  1.25s/it]
Epoch 44, training loss 0.126:  44%|████▍     | 80/182 [01:40<02:07,  1.25s/it]
Epoch 44, training loss 0.126:  45%|████▍     | 81/182 [01:40<02:05,  1.24s/it]
Epoch 44, training loss 0.129:  45%|████▍     | 81/182 [01:41<02:06,  1.25s/it]
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Epoch 44, training loss 0.128:  46%|████▌     | 83/182 [01:43<02:03,  1.25s/it]
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Epoch 44, training loss 0.128:  48%|████▊     | 87/182 [01:47<01:57,  1.24s/it]
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Epoch 44, training loss 0.127:  48%|████▊     | 88/182 [01:49<01:56,  1.24s/it]
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Epoch 44, training loss 0.128:  49%|████▉     | 89/182 [01:50<01:55,  1.24s/it]
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Epoch 44, training loss 0.127:  49%|████▉     | 90/182 [01:51<01:53,  1.24s/it]
Epoch 44, training loss 0.132:  49%|████▉     | 90/182 [01:52<01:54,  1.24s/it]
Epoch 44, training loss 0.132:  50%|█████     | 91/182 [01:52<01:52,  1.24s/it]
Epoch 44, training loss 0.133:  50%|█████     | 91/182 [01:53<01:53,  1.24s/it]
Epoch 44, training loss 0.133:  51%|█████     | 92/182 [01:53<01:51,  1.24s/it]
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Epoch 44, training loss 0.133:  52%|█████▏    | 94/182 [01:55<01:48,  1.23s/it]
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Epoch 44, training loss 0.132:  52%|█████▏    | 95/182 [01:57<01:47,  1.23s/it]
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Epoch 44, training loss 0.131:  53%|█████▎    | 96/182 [01:58<01:46,  1.23s/it]
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Epoch 44, training loss 0.131:  53%|█████▎    | 97/182 [01:59<01:44,  1.23s/it]
Epoch 44, training loss 0.131:  53%|█████▎    | 97/182 [02:00<01:45,  1.24s/it]
Epoch 44, training loss 0.131:  54%|█████▍    | 98/182 [02:00<01:43,  1.23s/it]
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Epoch 44, training loss 0.132:  54%|█████▍    | 99/182 [02:01<01:42,  1.23s/it]
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Epoch 44, training loss 0.132:  55%|█████▍    | 100/182 [02:03<01:40,  1.23s/it]
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Epoch 44, training loss 0.131:  56%|█████▌    | 102/182 [02:05<01:38,  1.23s/it]
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Epoch 44, training loss 0.130:  57%|█████▋    | 103/182 [02:06<01:37,  1.23s/it]
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Epoch 44, training loss 0.129:  57%|█████▋    | 104/182 [02:07<01:35,  1.23s/it]
Epoch 44, training loss 0.128:  57%|█████▋    | 104/182 [02:08<01:36,  1.23s/it]
Epoch 44, training loss 0.128:  58%|█████▊    | 105/182 [02:08<01:34,  1.23s/it]
Epoch 44, training loss 0.128:  58%|█████▊    | 105/182 [02:09<01:34,  1.23s/it]
Epoch 44, training loss 0.128:  58%|█████▊    | 106/182 [02:09<01:33,  1.23s/it]
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Epoch 44, training loss 0.128:  59%|█████▉    | 107/182 [02:11<01:31,  1.23s/it]
Epoch 44, training loss 0.127:  59%|█████▉    | 107/182 [02:11<01:32,  1.23s/it]
Epoch 44, training loss 0.127:  59%|█████▉    | 108/182 [02:12<01:30,  1.23s/it]
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Epoch 44, training loss 0.127:  60%|█████▉    | 109/182 [02:13<01:29,  1.22s/it]
Epoch 44, training loss 0.128:  60%|█████▉    | 109/182 [02:14<01:29,  1.23s/it]
Epoch 44, training loss 0.128:  60%|██████    | 110/182 [02:14<01:28,  1.22s/it]
Epoch 44, training loss 0.128:  60%|██████    | 110/182 [02:15<01:28,  1.23s/it]
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Epoch 44, training loss 0.128:  61%|██████    | 111/182 [02:16<01:27,  1.23s/it]
Epoch 44, training loss 0.128:  62%|██████▏   | 112/182 [02:17<01:25,  1.22s/it]
Epoch 44, training loss 0.130:  62%|██████▏   | 112/182 [02:17<01:26,  1.23s/it]
Epoch 44, training loss 0.130:  62%|██████▏   | 113/182 [02:18<01:24,  1.22s/it]
Epoch 44, training loss 0.129:  62%|██████▏   | 113/182 [02:19<01:24,  1.23s/it]
Epoch 44, training loss 0.129:  63%|██████▎   | 114/182 [02:19<01:23,  1.22s/it]
Epoch 44, training loss 0.130:  63%|██████▎   | 114/182 [02:20<01:23,  1.23s/it]
Epoch 44, training loss 0.130:  63%|██████▎   | 115/182 [02:20<01:21,  1.22s/it]
Epoch 44, training loss 0.130:  63%|██████▎   | 115/182 [02:21<01:22,  1.23s/it]
Epoch 44, training loss 0.130:  64%|██████▎   | 116/182 [02:21<01:20,  1.22s/it]
Epoch 44, training loss 0.131:  64%|██████▎   | 116/182 [02:22<01:21,  1.23s/it]
Epoch 44, training loss 0.131:  64%|██████▍   | 117/182 [02:23<01:19,  1.22s/it]
Epoch 44, training loss 0.132:  64%|██████▍   | 117/182 [02:23<01:19,  1.23s/it]
Epoch 44, training loss 0.132:  65%|██████▍   | 118/182 [02:24<01:18,  1.22s/it]
Epoch 44, training loss 0.133:  65%|██████▍   | 118/182 [02:25<01:18,  1.23s/it]
Epoch 44, training loss 0.133:  65%|██████▌   | 119/182 [02:25<01:17,  1.22s/it]
Epoch 44, training loss 0.132:  65%|██████▌   | 119/182 [02:26<01:17,  1.23s/it]
Epoch 44, training loss 0.132:  66%|██████▌   | 120/182 [02:26<01:15,  1.22s/it]
Epoch 44, training loss 0.132:  66%|██████▌   | 120/182 [02:27<01:16,  1.23s/it]
Epoch 44, training loss 0.132:  66%|██████▋   | 121/182 [02:27<01:14,  1.22s/it]
Epoch 44, training loss 0.131:  66%|██████▋   | 121/182 [02:28<01:14,  1.23s/it]
Epoch 44, training loss 0.131:  67%|██████▋   | 122/182 [02:29<01:13,  1.22s/it]
Epoch 44, training loss 0.130:  67%|██████▋   | 122/182 [02:29<01:13,  1.23s/it]
Epoch 44, training loss 0.130:  68%|██████▊   | 123/182 [02:30<01:12,  1.22s/it]
Epoch 44, training loss 0.130:  68%|██████▊   | 123/182 [02:30<01:12,  1.23s/it]
Epoch 44, training loss 0.130:  68%|██████▊   | 124/182 [02:31<01:10,  1.22s/it]
Epoch 44, training loss 0.130:  68%|██████▊   | 124/182 [02:32<01:11,  1.23s/it]
Epoch 44, training loss 0.130:  69%|██████▊   | 125/182 [02:32<01:09,  1.22s/it]
Epoch 44, training loss 0.131:  69%|██████▊   | 125/182 [02:33<01:09,  1.23s/it]
Epoch 44, training loss 0.131:  69%|██████▉   | 126/182 [02:33<01:08,  1.22s/it]
Epoch 44, training loss 0.131:  69%|██████▉   | 126/182 [02:34<01:08,  1.23s/it]
Epoch 44, training loss 0.131:  70%|██████▉   | 127/182 [02:34<01:07,  1.22s/it]
Epoch 44, training loss 0.130:  70%|██████▉   | 127/182 [02:35<01:07,  1.23s/it]
Epoch 44, training loss 0.130:  70%|███████   | 128/182 [02:36<01:05,  1.22s/it]
Epoch 44, training loss 0.131:  70%|███████   | 128/182 [02:36<01:06,  1.23s/it]
Epoch 44, training loss 0.131:  71%|███████   | 129/182 [02:37<01:04,  1.22s/it]
Epoch 44, training loss 0.130:  71%|███████   | 129/182 [02:37<01:04,  1.22s/it]
Epoch 44, training loss 0.130:  71%|███████▏  | 130/182 [02:38<01:03,  1.22s/it]
Epoch 44, training loss 0.129:  71%|███████▏  | 130/182 [02:39<01:03,  1.22s/it]
Epoch 44, training loss 0.129:  72%|███████▏  | 131/182 [02:39<01:02,  1.22s/it]
Epoch 44, training loss 0.130:  72%|███████▏  | 131/182 [02:40<01:02,  1.22s/it]
Epoch 44, training loss 0.130:  73%|███████▎  | 132/182 [02:40<01:00,  1.22s/it]
Epoch 44, training loss 0.129:  73%|███████▎  | 132/182 [02:41<01:01,  1.22s/it]
Epoch 44, training loss 0.129:  73%|███████▎  | 133/182 [02:42<00:59,  1.22s/it]
Epoch 44, training loss 0.129:  73%|███████▎  | 133/182 [02:42<00:59,  1.22s/it]
Epoch 44, training loss 0.129:  74%|███████▎  | 134/182 [02:43<00:58,  1.22s/it]
Epoch 44, training loss 0.129:  74%|███████▎  | 134/182 [02:43<00:58,  1.22s/it]
Epoch 44, training loss 0.129:  74%|███████▍  | 135/182 [02:44<00:57,  1.22s/it]
Epoch 44, training loss 0.130:  74%|███████▍  | 135/182 [02:45<00:57,  1.22s/it]
Epoch 44, training loss 0.130:  75%|███████▍  | 136/182 [02:45<00:56,  1.22s/it]
Epoch 44, training loss 0.130:  75%|███████▍  | 136/182 [02:46<00:56,  1.22s/it]
Epoch 44, training loss 0.130:  75%|███████▌  | 137/182 [02:46<00:54,  1.22s/it]
Epoch 44, training loss 0.130:  75%|███████▌  | 137/182 [02:47<00:55,  1.22s/it]
Epoch 44, training loss 0.130:  76%|███████▌  | 138/182 [02:48<00:53,  1.22s/it]
Epoch 44, training loss 0.129:  76%|███████▌  | 138/182 [02:48<00:53,  1.22s/it]
Epoch 44, training loss 0.129:  76%|███████▋  | 139/182 [02:49<00:52,  1.22s/it]
Epoch 44, training loss 0.130:  76%|███████▋  | 139/182 [02:49<00:52,  1.22s/it]
Epoch 44, training loss 0.130:  77%|███████▋  | 140/182 [02:50<00:51,  1.22s/it]
Epoch 44, training loss 0.130:  77%|███████▋  | 140/182 [02:51<00:51,  1.22s/it]
Epoch 44, training loss 0.130:  77%|███████▋  | 141/182 [02:51<00:49,  1.22s/it]
Epoch 44, training loss 0.130:  77%|███████▋  | 141/182 [02:52<00:50,  1.22s/it]
Epoch 44, training loss 0.130:  78%|███████▊  | 142/182 [02:52<00:48,  1.22s/it]
Epoch 44, training loss 0.132:  78%|███████▊  | 142/182 [02:53<00:48,  1.22s/it]
Epoch 44, training loss 0.132:  79%|███████▊  | 143/182 [02:53<00:47,  1.22s/it]
Epoch 44, training loss 0.131:  79%|███████▊  | 143/182 [02:54<00:47,  1.22s/it]
Epoch 44, training loss 0.131:  79%|███████▉  | 144/182 [02:55<00:46,  1.22s/it]
Epoch 44, training loss 0.131:  79%|███████▉  | 144/182 [02:55<00:46,  1.22s/it]
Epoch 44, training loss 0.131:  80%|███████▉  | 145/182 [02:56<00:44,  1.21s/it]
Epoch 44, training loss 0.131:  80%|███████▉  | 145/182 [02:56<00:45,  1.22s/it]
Epoch 44, training loss 0.131:  80%|████████  | 146/182 [02:57<00:43,  1.21s/it]
Epoch 44, training loss 0.130:  80%|████████  | 146/182 [02:58<00:43,  1.22s/it]
Epoch 44, training loss 0.130:  81%|████████  | 147/182 [02:58<00:42,  1.21s/it]
Epoch 44, training loss 0.130:  81%|████████  | 147/182 [02:59<00:42,  1.22s/it]
Epoch 44, training loss 0.130:  81%|████████▏ | 148/182 [02:59<00:41,  1.21s/it]
Epoch 44, training loss 0.130:  81%|████████▏ | 148/182 [03:00<00:41,  1.22s/it]
Epoch 44, training loss 0.130:  82%|████████▏ | 149/182 [03:01<00:40,  1.22s/it]
Epoch 44, training loss 0.130:  82%|████████▏ | 149/182 [03:01<00:40,  1.22s/it]
Epoch 44, training loss 0.130:  82%|████████▏ | 150/182 [03:02<00:38,  1.21s/it]
Epoch 44, training loss 0.132:  82%|████████▏ | 150/182 [03:02<00:38,  1.22s/it]
Epoch 44, training loss 0.132:  83%|████████▎ | 151/182 [03:03<00:37,  1.21s/it]
Epoch 44, training loss 0.131:  83%|████████▎ | 151/182 [03:03<00:37,  1.22s/it]
Epoch 44, training loss 0.131:  84%|████████▎ | 152/182 [03:04<00:36,  1.21s/it]
Epoch 44, training loss 0.131:  84%|████████▎ | 152/182 [03:05<00:36,  1.22s/it]
Epoch 44, training loss 0.131:  84%|████████▍ | 153/182 [03:05<00:35,  1.21s/it]
Epoch 44, training loss 0.132:  84%|████████▍ | 153/182 [03:06<00:35,  1.22s/it]
Epoch 44, training loss 0.132:  85%|████████▍ | 154/182 [03:06<00:33,  1.21s/it]
Epoch 44, training loss 0.132:  85%|████████▍ | 154/182 [03:07<00:34,  1.22s/it]
Epoch 44, training loss 0.132:  85%|████████▌ | 155/182 [03:07<00:32,  1.21s/it]
Epoch 44, training loss 0.132:  85%|████████▌ | 155/182 [03:08<00:32,  1.22s/it]
Epoch 44, training loss 0.132:  86%|████████▌ | 156/182 [03:09<00:31,  1.21s/it]
Epoch 44, training loss 0.131:  86%|████████▌ | 156/182 [03:09<00:31,  1.22s/it]
Epoch 44, training loss 0.131:  86%|████████▋ | 157/182 [03:10<00:30,  1.21s/it]
Epoch 44, training loss 0.130:  86%|████████▋ | 157/182 [03:10<00:30,  1.22s/it]
Epoch 44, training loss 0.130:  87%|████████▋ | 158/182 [03:11<00:29,  1.21s/it]
Epoch 44, training loss 0.130:  87%|████████▋ | 158/182 [03:12<00:29,  1.22s/it]
Epoch 44, training loss 0.130:  87%|████████▋ | 159/182 [03:12<00:27,  1.21s/it]
Epoch 44, training loss 0.130:  87%|████████▋ | 159/182 [03:13<00:27,  1.21s/it]
Epoch 44, training loss 0.130:  88%|████████▊ | 160/182 [03:13<00:26,  1.21s/it]
Epoch 44, training loss 0.130:  88%|████████▊ | 160/182 [03:14<00:26,  1.22s/it]
Epoch 44, training loss 0.130:  88%|████████▊ | 161/182 [03:14<00:25,  1.21s/it]
Epoch 44, training loss 0.130:  88%|████████▊ | 161/182 [03:15<00:25,  1.22s/it]
Epoch 44, training loss 0.130:  89%|████████▉ | 162/182 [03:16<00:24,  1.21s/it]
Epoch 44, training loss 0.130:  89%|████████▉ | 162/182 [03:16<00:24,  1.21s/it]
Epoch 44, training loss 0.130:  90%|████████▉ | 163/182 [03:17<00:22,  1.21s/it]
Epoch 44, training loss 0.129:  90%|████████▉ | 163/182 [03:17<00:23,  1.21s/it]
Epoch 44, training loss 0.129:  90%|█████████ | 164/182 [03:18<00:21,  1.21s/it]
Epoch 44, training loss 0.128:  90%|█████████ | 164/182 [03:18<00:21,  1.21s/it]
Epoch 44, training loss 0.128:  91%|█████████ | 165/182 [03:19<00:20,  1.21s/it]
Epoch 44, training loss 0.130:  91%|█████████ | 165/182 [03:20<00:20,  1.21s/it]
Epoch 44, training loss 0.130:  91%|█████████ | 166/182 [03:20<00:19,  1.21s/it]
Epoch 44, training loss 0.130:  91%|█████████ | 166/182 [03:21<00:19,  1.21s/it]
Epoch 44, training loss 0.130:  92%|█████████▏| 167/182 [03:21<00:18,  1.21s/it]
Epoch 44, training loss 0.131:  92%|█████████▏| 167/182 [03:22<00:18,  1.21s/it]
Epoch 44, training loss 0.131:  92%|█████████▏| 168/182 [03:22<00:16,  1.21s/it]
Epoch 44, training loss 0.131:  92%|█████████▏| 168/182 [03:23<00:16,  1.21s/it]
Epoch 44, training loss 0.131:  93%|█████████▎| 169/182 [03:24<00:15,  1.21s/it]
Epoch 44, training loss 0.131:  93%|█████████▎| 169/182 [03:25<00:15,  1.21s/it]
Epoch 44, training loss 0.131:  93%|█████████▎| 170/182 [03:25<00:14,  1.21s/it]
Epoch 44, training loss 0.131:  93%|█████████▎| 170/182 [03:26<00:14,  1.21s/it]
Epoch 44, training loss 0.131:  94%|█████████▍| 171/182 [03:26<00:13,  1.21s/it]
Epoch 44, training loss 0.131:  94%|█████████▍| 171/182 [03:27<00:13,  1.21s/it]
Epoch 44, training loss 0.131:  95%|█████████▍| 172/182 [03:27<00:12,  1.21s/it]
Epoch 44, training loss 0.131:  95%|█████████▍| 172/182 [03:28<00:12,  1.21s/it]
Epoch 44, training loss 0.131:  95%|█████████▌| 173/182 [03:28<00:10,  1.21s/it]
Epoch 44, training loss 0.131:  95%|█████████▌| 173/182 [03:29<00:10,  1.21s/it]
Epoch 44, training loss 0.131:  96%|█████████▌| 174/182 [03:30<00:09,  1.21s/it]
Epoch 44, training loss 0.131:  96%|█████████▌| 174/182 [03:30<00:09,  1.21s/it]
Epoch 44, training loss 0.131:  96%|█████████▌| 175/182 [03:31<00:08,  1.21s/it]
Epoch 44, training loss 0.131:  96%|█████████▌| 175/182 [03:31<00:08,  1.21s/it]
Epoch 44, training loss 0.131:  97%|█████████▋| 176/182 [03:32<00:07,  1.21s/it]
Epoch 44, training loss 0.131:  97%|█████████▋| 176/182 [03:33<00:07,  1.21s/it]
Epoch 44, training loss 0.131:  97%|█████████▋| 177/182 [03:33<00:06,  1.21s/it]
Epoch 44, training loss 0.130:  97%|█████████▋| 177/182 [03:34<00:06,  1.21s/it]
Epoch 44, training loss 0.130:  98%|█████████▊| 178/182 [03:34<00:04,  1.21s/it]
Epoch 44, training loss 0.130:  98%|█████████▊| 178/182 [03:35<00:04,  1.21s/it]
Epoch 44, training loss 0.130:  98%|█████████▊| 179/182 [03:35<00:03,  1.21s/it]
Epoch 44, training loss 0.130:  98%|█████████▊| 179/182 [03:36<00:03,  1.21s/it]
Epoch 44, training loss 0.130:  99%|█████████▉| 180/182 [03:37<00:02,  1.21s/it]
Epoch 44, training loss 0.129:  99%|█████████▉| 180/182 [03:37<00:02,  1.21s/it]
Epoch 44, training loss 0.129:  99%|█████████▉| 181/182 [03:38<00:01,  1.21s/it]
Epoch 44, training loss 0.129:  99%|█████████▉| 181/182 [03:38<00:01,  1.21s/it]
Epoch 44, training loss 0.129: 100%|██████████| 182/182 [03:39<00:00,  1.20s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.596:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.596:   1%|          | 1/91 [00:04<06:51,  4.57s/it]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.770:   1%|          | 1/91 [00:05<07:32,  5.03s/it]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.770:   2%|▏         | 2/91 [00:05<03:43,  2.51s/it]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.802:   2%|▏         | 2/91 [00:05<04:05,  2.75s/it]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.802:   3%|▎         | 3/91 [00:05<02:41,  1.84s/it]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.803:   3%|▎         | 3/91 [00:05<02:54,  1.98s/it]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.803:   4%|▍         | 4/91 [00:05<02:09,  1.49s/it]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.896:   4%|▍         | 4/91 [00:06<02:18,  1.59s/it]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.896:   5%|▌         | 5/91 [00:06<01:49,  1.27s/it]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.904:   5%|▌         | 5/91 [00:06<01:57,  1.37s/it]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.904:   7%|▋         | 6/91 [00:06<01:36,  1.14s/it]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.902:   7%|▋         | 6/91 [00:07<01:42,  1.21s/it]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.902:   8%|▊         | 7/91 [00:07<01:26,  1.04s/it]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.898:   8%|▊         | 7/91 [00:07<01:32,  1.10s/it]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.898:   9%|▉         | 8/91 [00:07<01:19,  1.04it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.904:   9%|▉         | 8/91 [00:08<01:24,  1.02s/it]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.904:  10%|▉         | 9/91 [00:08<01:14,  1.11it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.908:  10%|▉         | 9/91 [00:08<01:18,  1.05it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.908:  11%|█         | 10/91 [00:08<01:09,  1.17it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.906:  11%|█         | 10/91 [00:09<01:12,  1.11it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.906:  12%|█▏        | 11/91 [00:09<01:05,  1.22it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.906:  12%|█▏        | 11/91 [00:09<01:08,  1.16it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.906:  13%|█▎        | 12/91 [00:09<01:02,  1.27it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.904:  13%|█▎        | 12/91 [00:09<01:05,  1.21it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.904:  14%|█▍        | 13/91 [00:09<00:59,  1.31it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.913:  14%|█▍        | 13/91 [00:10<01:02,  1.26it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.913:  15%|█▌        | 14/91 [00:10<00:56,  1.35it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.912:  15%|█▌        | 14/91 [00:10<00:59,  1.30it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.912:  16%|█▋        | 15/91 [00:10<00:54,  1.39it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.915:  16%|█▋        | 15/91 [00:11<00:56,  1.34it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.915:  18%|█▊        | 16/91 [00:11<00:52,  1.43it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.916:  18%|█▊        | 16/91 [00:11<00:54,  1.38it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.916:  19%|█▊        | 17/91 [00:11<00:50,  1.46it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.915:  19%|█▊        | 17/91 [00:12<00:52,  1.41it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.915:  20%|█▉        | 18/91 [00:12<00:48,  1.49it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.910:  20%|█▉        | 18/91 [00:12<00:50,  1.44it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.910:  21%|██        | 19/91 [00:12<00:47,  1.52it/s]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.907:  21%|██        | 19/91 [00:12<00:48,  1.47it/s]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.907:  22%|██▏       | 20/91 [00:12<00:45,  1.55it/s]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.907:  22%|██▏       | 20/91 [00:13<00:47,  1.50it/s]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.907:  23%|██▎       | 21/91 [00:13<00:44,  1.57it/s]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.906:  23%|██▎       | 21/91 [00:13<00:45,  1.52it/s]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.906:  24%|██▍       | 22/91 [00:13<00:43,  1.60it/s]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.907:  24%|██▍       | 22/91 [00:14<00:44,  1.55it/s]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.907:  25%|██▌       | 23/91 [00:14<00:42,  1.62it/s]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.909:  25%|██▌       | 23/91 [00:14<00:43,  1.57it/s]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.909:  26%|██▋       | 24/91 [00:14<00:40,  1.64it/s]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.907:  26%|██▋       | 24/91 [00:15<00:42,  1.58it/s]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.907:  27%|██▋       | 25/91 [00:15<00:39,  1.65it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.909:  27%|██▋       | 25/91 [00:15<00:41,  1.60it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.909:  29%|██▊       | 26/91 [00:15<00:38,  1.67it/s]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.909:  29%|██▊       | 26/91 [00:16<00:40,  1.62it/s]
Epoch 44, validation pixAcc: 0.978, mIoU: 0.909:  30%|██▉       | 27/91 [00:16<00:37,  1.69it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.912:  30%|██▉       | 27/91 [00:16<00:39,  1.64it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.912:  31%|███       | 28/91 [00:16<00:37,  1.70it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.913:  31%|███       | 28/91 [00:16<00:38,  1.65it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.913:  32%|███▏      | 29/91 [00:16<00:36,  1.71it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.914:  32%|███▏      | 29/91 [00:17<00:37,  1.67it/s]
Epoch 44, validation pixAcc: 0.979, mIoU: 0.914:  33%|███▎      | 30/91 [00:17<00:35,  1.73it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.915:  33%|███▎      | 30/91 [00:17<00:36,  1.69it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.915:  34%|███▍      | 31/91 [00:17<00:34,  1.75it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.916:  34%|███▍      | 31/91 [00:18<00:35,  1.71it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.916:  35%|███▌      | 32/91 [00:18<00:33,  1.76it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.918:  35%|███▌      | 32/91 [00:18<00:34,  1.73it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.918:  36%|███▋      | 33/91 [00:18<00:32,  1.78it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.918:  36%|███▋      | 33/91 [00:18<00:33,  1.74it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.918:  37%|███▋      | 34/91 [00:18<00:31,  1.79it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.918:  37%|███▋      | 34/91 [00:19<00:32,  1.76it/s]
Epoch 44, validation pixAcc: 0.980, mIoU: 0.918:  38%|███▊      | 35/91 [00:19<00:30,  1.81it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.918:  38%|███▊      | 35/91 [00:19<00:31,  1.77it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.918:  40%|███▉      | 36/91 [00:19<00:30,  1.82it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.919:  40%|███▉      | 36/91 [00:20<00:30,  1.78it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.919:  41%|████      | 37/91 [00:20<00:29,  1.83it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.919:  41%|████      | 37/91 [00:20<00:30,  1.79it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.919:  42%|████▏     | 38/91 [00:20<00:28,  1.84it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.919:  42%|████▏     | 38/91 [00:21<00:29,  1.81it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.919:  43%|████▎     | 39/91 [00:21<00:28,  1.85it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.919:  43%|████▎     | 39/91 [00:21<00:28,  1.82it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.919:  44%|████▍     | 40/91 [00:21<00:27,  1.87it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.920:  44%|████▍     | 40/91 [00:21<00:27,  1.83it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.920:  45%|████▌     | 41/91 [00:21<00:26,  1.87it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.920:  45%|████▌     | 41/91 [00:22<00:27,  1.84it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.920:  46%|████▌     | 42/91 [00:22<00:26,  1.88it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.921:  46%|████▌     | 42/91 [00:22<00:26,  1.85it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.921:  47%|████▋     | 43/91 [00:22<00:25,  1.89it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.921:  47%|████▋     | 43/91 [00:23<00:25,  1.86it/s]
Epoch 44, validation pixAcc: 0.981, mIoU: 0.921:  48%|████▊     | 44/91 [00:23<00:24,  1.90it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  48%|████▊     | 44/91 [00:23<00:25,  1.86it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 45/91 [00:23<00:24,  1.90it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 45/91 [00:24<00:24,  1.87it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/91 [00:24<00:23,  1.91it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/91 [00:24<00:24,  1.87it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  52%|█████▏    | 47/91 [00:24<00:22,  1.92it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  52%|█████▏    | 47/91 [00:24<00:23,  1.88it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/91 [00:24<00:22,  1.92it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.921:  53%|█████▎    | 48/91 [00:25<00:22,  1.89it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.921:  54%|█████▍    | 49/91 [00:25<00:21,  1.93it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/91 [00:25<00:22,  1.90it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  55%|█████▍    | 50/91 [00:25<00:21,  1.93it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  55%|█████▍    | 50/91 [00:26<00:21,  1.90it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  56%|█████▌    | 51/91 [00:26<00:20,  1.94it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.923:  56%|█████▌    | 51/91 [00:26<00:20,  1.91it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 52/91 [00:26<00:20,  1.94it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 52/91 [00:27<00:20,  1.91it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.923:  58%|█████▊    | 53/91 [00:27<00:19,  1.95it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  58%|█████▊    | 53/91 [00:27<00:19,  1.91it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  59%|█████▉    | 54/91 [00:27<00:18,  1.95it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  59%|█████▉    | 54/91 [00:28<00:19,  1.92it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  60%|██████    | 55/91 [00:28<00:18,  1.96it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  60%|██████    | 55/91 [00:28<00:18,  1.93it/s]
Epoch 44, validation pixAcc: 0.982, mIoU: 0.922:  62%|██████▏   | 56/91 [00:28<00:17,  1.96it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.923:  62%|██████▏   | 56/91 [00:28<00:18,  1.93it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/91 [00:28<00:17,  1.97it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/91 [00:29<00:17,  1.94it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▎   | 58/91 [00:29<00:16,  1.97it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▎   | 58/91 [00:29<00:16,  1.95it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.923:  65%|██████▍   | 59/91 [00:29<00:16,  1.98it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.922:  65%|██████▍   | 59/91 [00:30<00:16,  1.95it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.922:  66%|██████▌   | 60/91 [00:30<00:15,  1.98it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.923:  66%|██████▌   | 60/91 [00:30<00:15,  1.96it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.923:  67%|██████▋   | 61/91 [00:30<00:15,  1.99it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.924:  67%|██████▋   | 61/91 [00:31<00:15,  1.96it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 62/91 [00:31<00:14,  1.99it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 62/91 [00:31<00:14,  1.96it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 63/91 [00:31<00:14,  2.00it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 63/91 [00:32<00:14,  1.97it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.924:  70%|███████   | 64/91 [00:32<00:13,  2.00it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 64/91 [00:32<00:13,  1.97it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████▏  | 65/91 [00:32<00:12,  2.00it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████▏  | 65/91 [00:32<00:13,  1.97it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.925:  73%|███████▎  | 66/91 [00:32<00:12,  2.01it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.925:  73%|███████▎  | 66/91 [00:33<00:12,  1.98it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▎  | 67/91 [00:33<00:11,  2.01it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▎  | 67/91 [00:33<00:12,  1.99it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.925:  75%|███████▍  | 68/91 [00:33<00:11,  2.02it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.925:  75%|███████▍  | 68/91 [00:34<00:11,  1.99it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 69/91 [00:34<00:10,  2.02it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.926:  76%|███████▌  | 69/91 [00:34<00:11,  2.00it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.926:  77%|███████▋  | 70/91 [00:34<00:10,  2.02it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.926:  77%|███████▋  | 70/91 [00:35<00:10,  2.00it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.926:  78%|███████▊  | 71/91 [00:35<00:09,  2.03it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.926:  78%|███████▊  | 71/91 [00:35<00:09,  2.00it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.926:  79%|███████▉  | 72/91 [00:35<00:09,  2.03it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.926:  79%|███████▉  | 72/91 [00:35<00:09,  2.01it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.926:  80%|████████  | 73/91 [00:35<00:08,  2.03it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.926:  80%|████████  | 73/91 [00:36<00:08,  2.01it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.926:  81%|████████▏ | 74/91 [00:36<00:08,  2.04it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.926:  81%|████████▏ | 74/91 [00:36<00:08,  2.01it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.926:  82%|████████▏ | 75/91 [00:36<00:07,  2.04it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.926:  82%|████████▏ | 75/91 [00:37<00:07,  2.02it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.926:  84%|████████▎ | 76/91 [00:37<00:07,  2.04it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.927:  84%|████████▎ | 76/91 [00:37<00:07,  2.02it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.927:  85%|████████▍ | 77/91 [00:37<00:06,  2.04it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.927:  85%|████████▍ | 77/91 [00:38<00:06,  2.02it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.927:  86%|████████▌ | 78/91 [00:38<00:06,  2.05it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.926:  86%|████████▌ | 78/91 [00:38<00:06,  2.02it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.926:  87%|████████▋ | 79/91 [00:38<00:05,  2.05it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.927:  87%|████████▋ | 79/91 [00:38<00:05,  2.03it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.927:  88%|████████▊ | 80/91 [00:38<00:05,  2.05it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.927:  88%|████████▊ | 80/91 [00:39<00:05,  2.03it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.927:  89%|████████▉ | 81/91 [00:39<00:04,  2.05it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  89%|████████▉ | 81/91 [00:39<00:04,  2.03it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  90%|█████████ | 82/91 [00:39<00:04,  2.06it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  90%|█████████ | 82/91 [00:40<00:04,  2.04it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  91%|█████████ | 83/91 [00:40<00:03,  2.06it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  91%|█████████ | 83/91 [00:40<00:03,  2.04it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  92%|█████████▏| 84/91 [00:40<00:03,  2.07it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  92%|█████████▏| 84/91 [00:41<00:03,  2.05it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 85/91 [00:41<00:02,  2.07it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 85/91 [00:41<00:02,  2.05it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  95%|█████████▍| 86/91 [00:41<00:02,  2.08it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  95%|█████████▍| 86/91 [00:41<00:02,  2.05it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 87/91 [00:41<00:01,  2.08it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 87/91 [00:42<00:01,  2.06it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 88/91 [00:42<00:01,  2.08it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 88/91 [00:42<00:01,  2.06it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 89/91 [00:42<00:00,  2.08it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 89/91 [00:43<00:00,  2.06it/s]
Epoch 44, validation pixAcc: 0.984, mIoU: 0.928:  99%|█████████▉| 90/91 [00:43<00:00,  2.08it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.928:  99%|█████████▉| 90/91 [00:43<00:00,  2.06it/s]
Epoch 44, validation pixAcc: 0.983, mIoU: 0.928: 100%|██████████| 91/91 [00:43<00:00,  2.09it/s]

  0%|          | 0/182 [00:00<?, ?it/s]
Epoch 45, training loss 0.020:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 45, training loss 0.020:   1%|          | 1/182 [00:05<16:18,  5.41s/it]
Epoch 45, training loss 0.068:   1%|          | 1/182 [00:06<18:56,  6.28s/it]
Epoch 45, training loss 0.068:   1%|          | 2/182 [00:06<10:11,  3.40s/it]
Epoch 45, training loss 0.068:   1%|          | 2/182 [00:07<11:04,  3.69s/it]
Epoch 45, training loss 0.068:   2%|▏         | 3/182 [00:07<07:51,  2.64s/it]
Epoch 45, training loss 0.134:   2%|▏         | 3/182 [00:08<08:36,  2.88s/it]
Epoch 45, training loss 0.134:   2%|▏         | 4/182 [00:09<06:47,  2.29s/it]
Epoch 45, training loss 0.121:   2%|▏         | 4/182 [00:09<07:14,  2.44s/it]
Epoch 45, training loss 0.121:   3%|▎         | 5/182 [00:10<06:03,  2.06s/it]
Epoch 45, training loss 0.112:   3%|▎         | 5/182 [00:10<06:26,  2.18s/it]
Epoch 45, training loss 0.112:   3%|▎         | 6/182 [00:11<05:34,  1.90s/it]
Epoch 45, training loss 0.102:   3%|▎         | 6/182 [00:12<05:56,  2.03s/it]
Epoch 45, training loss 0.102:   4%|▍         | 7/182 [00:12<05:16,  1.81s/it]
Epoch 45, training loss 0.094:   4%|▍         | 7/182 [00:13<05:36,  1.92s/it]
Epoch 45, training loss 0.094:   4%|▍         | 8/182 [00:13<05:03,  1.74s/it]
Epoch 45, training loss 0.093:   4%|▍         | 8/182 [00:14<05:19,  1.84s/it]
Epoch 45, training loss 0.093:   5%|▍         | 9/182 [00:15<04:51,  1.69s/it]
Epoch 45, training loss 0.091:   5%|▍         | 9/182 [00:15<05:05,  1.77s/it]
Epoch 45, training loss 0.091:   5%|▌         | 10/182 [00:16<04:41,  1.64s/it]
Epoch 45, training loss 0.085:   5%|▌         | 10/182 [00:17<04:52,  1.70s/it]
Epoch 45, training loss 0.085:   6%|▌         | 11/182 [00:17<04:32,  1.59s/it]
Epoch 45, training loss 0.083:   6%|▌         | 11/182 [00:18<04:42,  1.65s/it]
Epoch 45, training loss 0.083:   7%|▋         | 12/182 [00:18<04:24,  1.56s/it]
Epoch 45, training loss 0.116:   7%|▋         | 12/182 [00:19<04:37,  1.63s/it]
Epoch 45, training loss 0.116:   7%|▋         | 13/182 [00:20<04:20,  1.54s/it]
Epoch 45, training loss 0.116:   7%|▋         | 13/182 [00:20<04:28,  1.59s/it]
Epoch 45, training loss 0.116:   8%|▊         | 14/182 [00:21<04:14,  1.51s/it]
Epoch 45, training loss 0.112:   8%|▊         | 14/182 [00:21<04:22,  1.56s/it]
Epoch 45, training loss 0.112:   8%|▊         | 15/182 [00:22<04:09,  1.49s/it]
Epoch 45, training loss 0.108:   8%|▊         | 15/182 [00:23<04:16,  1.54s/it]
Epoch 45, training loss 0.108:   9%|▉         | 16/182 [00:23<04:04,  1.47s/it]
Epoch 45, training loss 0.110:   9%|▉         | 16/182 [00:24<04:11,  1.51s/it]
Epoch 45, training loss 0.110:   9%|▉         | 17/182 [00:24<03:59,  1.45s/it]
Epoch 45, training loss 0.106:   9%|▉         | 17/182 [00:25<04:05,  1.49s/it]
Epoch 45, training loss 0.106:  10%|▉         | 18/182 [00:25<03:55,  1.43s/it]
Epoch 45, training loss 0.116:  10%|▉         | 18/182 [00:26<04:01,  1.47s/it]
Epoch 45, training loss 0.116:  10%|█         | 19/182 [00:27<03:51,  1.42s/it]
Epoch 45, training loss 0.114:  10%|█         | 19/182 [00:27<03:58,  1.46s/it]
Epoch 45, training loss 0.114:  11%|█         | 20/182 [00:28<03:49,  1.42s/it]
Epoch 45, training loss 0.112:  11%|█         | 20/182 [00:29<03:55,  1.45s/it]
Epoch 45, training loss 0.112:  12%|█▏        | 21/182 [00:29<03:46,  1.41s/it]
Epoch 45, training loss 0.109:  12%|█▏        | 21/182 [00:30<03:52,  1.45s/it]
Epoch 45, training loss 0.109:  12%|█▏        | 22/182 [00:30<03:44,  1.40s/it]
Epoch 45, training loss 0.107:  12%|█▏        | 22/182 [00:31<03:48,  1.43s/it]
Epoch 45, training loss 0.107:  13%|█▎        | 23/182 [00:31<03:40,  1.39s/it]
Epoch 45, training loss 0.105:  13%|█▎        | 23/182 [00:32<03:45,  1.42s/it]
Epoch 45, training loss 0.105:  13%|█▎        | 24/182 [00:33<03:37,  1.38s/it]
Epoch 45, training loss 0.105:  13%|█▎        | 24/182 [00:33<03:41,  1.40s/it]
Epoch 45, training loss 0.105:  14%|█▎        | 25/182 [00:34<03:34,  1.37s/it]
Epoch 45, training loss 0.105:  14%|█▎        | 25/182 [00:34<03:38,  1.39s/it]
Epoch 45, training loss 0.105:  14%|█▍        | 26/182 [00:35<03:31,  1.36s/it]
Epoch 45, training loss 0.106:  14%|█▍        | 26/182 [00:35<03:35,  1.38s/it]
Epoch 45, training loss 0.106:  15%|█▍        | 27/182 [00:36<03:29,  1.35s/it]
Epoch 45, training loss 0.118:  15%|█▍        | 27/182 [00:37<03:32,  1.37s/it]
Epoch 45, training loss 0.118:  15%|█▌        | 28/182 [00:37<03:26,  1.34s/it]
Epoch 45, training loss 0.118:  15%|█▌        | 28/182 [00:38<03:30,  1.37s/it]
Epoch 45, training loss 0.118:  16%|█▌        | 29/182 [00:38<03:24,  1.34s/it]
Epoch 45, training loss 0.120:  16%|█▌        | 29/182 [00:39<03:28,  1.36s/it]
Epoch 45, training loss 0.120:  16%|█▋        | 30/182 [00:40<03:23,  1.34s/it]
Epoch 45, training loss 0.118:  16%|█▋        | 30/182 [00:40<03:26,  1.36s/it]
Epoch 45, training loss 0.118:  17%|█▋        | 31/182 [00:41<03:21,  1.33s/it]
Epoch 45, training loss 0.116:  17%|█▋        | 31/182 [00:41<03:24,  1.35s/it]
Epoch 45, training loss 0.116:  18%|█▊        | 32/182 [00:42<03:18,  1.33s/it]
Epoch 45, training loss 0.114:  18%|█▊        | 32/182 [00:43<03:21,  1.35s/it]
Epoch 45, training loss 0.114:  18%|█▊        | 33/182 [00:43<03:16,  1.32s/it]
Epoch 45, training loss 0.111:  18%|█▊        | 33/182 [00:44<03:19,  1.34s/it]
Epoch 45, training loss 0.111:  19%|█▊        | 34/182 [00:44<03:14,  1.31s/it]
Epoch 45, training loss 0.109:  19%|█▊        | 34/182 [00:45<03:17,  1.33s/it]
Epoch 45, training loss 0.109:  19%|█▉        | 35/182 [00:45<03:12,  1.31s/it]
Epoch 45, training loss 0.113:  19%|█▉        | 35/182 [00:46<03:15,  1.33s/it]
Epoch 45, training loss 0.113:  20%|█▉        | 36/182 [00:47<03:10,  1.31s/it]
Epoch 45, training loss 0.111:  20%|█▉        | 36/182 [00:47<03:13,  1.33s/it]
Epoch 45, training loss 0.111:  20%|██        | 37/182 [00:48<03:09,  1.30s/it]
Epoch 45, training loss 0.109:  20%|██        | 37/182 [00:49<03:12,  1.33s/it]
Epoch 45, training loss 0.109:  21%|██        | 38/182 [00:49<03:07,  1.30s/it]
Epoch 45, training loss 0.108:  21%|██        | 38/182 [00:50<03:10,  1.32s/it]
Epoch 45, training loss 0.108:  21%|██▏       | 39/182 [00:50<03:05,  1.30s/it]
Epoch 45, training loss 0.107:  21%|██▏       | 39/182 [00:51<03:08,  1.32s/it]
Epoch 45, training loss 0.107:  22%|██▏       | 40/182 [00:51<03:03,  1.30s/it]
Epoch 45, training loss 0.113:  22%|██▏       | 40/182 [00:52<03:06,  1.31s/it]
Epoch 45, training loss 0.113:  23%|██▎       | 41/182 [00:52<03:02,  1.29s/it]
Epoch 45, training loss 0.116:  23%|██▎       | 41/182 [00:53<03:04,  1.31s/it]
Epoch 45, training loss 0.116:  23%|██▎       | 42/182 [00:54<03:00,  1.29s/it]
Epoch 45, training loss 0.115:  23%|██▎       | 42/182 [00:54<03:03,  1.31s/it]
Epoch 45, training loss 0.115:  24%|██▎       | 43/182 [00:55<02:59,  1.29s/it]
Epoch 45, training loss 0.118:  24%|██▎       | 43/182 [00:56<03:01,  1.30s/it]
Epoch 45, training loss 0.118:  24%|██▍       | 44/182 [00:56<02:57,  1.29s/it]
Epoch 45, training loss 0.117:  24%|██▍       | 44/182 [00:57<02:59,  1.30s/it]
Epoch 45, training loss 0.117:  25%|██▍       | 45/182 [00:57<02:55,  1.28s/it]
Epoch 45, training loss 0.116:  25%|██▍       | 45/182 [00:58<02:57,  1.30s/it]
Epoch 45, training loss 0.116:  25%|██▌       | 46/182 [00:58<02:53,  1.28s/it]
Epoch 45, training loss 0.116:  25%|██▌       | 46/182 [00:59<02:55,  1.29s/it]
Epoch 45, training loss 0.116:  26%|██▌       | 47/182 [00:59<02:52,  1.28s/it]
Epoch 45, training loss 0.115:  26%|██▌       | 47/182 [01:00<02:54,  1.29s/it]
Epoch 45, training loss 0.115:  26%|██▋       | 48/182 [01:01<02:50,  1.27s/it]
Epoch 45, training loss 0.120:  26%|██▋       | 48/182 [01:01<02:52,  1.29s/it]
Epoch 45, training loss 0.120:  27%|██▋       | 49/182 [01:02<02:49,  1.27s/it]
Epoch 45, training loss 0.123:  27%|██▋       | 49/182 [01:03<02:51,  1.29s/it]
Epoch 45, training loss 0.123:  27%|██▋       | 50/182 [01:03<02:47,  1.27s/it]
Epoch 45, training loss 0.121:  27%|██▋       | 50/182 [01:04<02:49,  1.29s/it]
Epoch 45, training loss 0.121:  28%|██▊       | 51/182 [01:04<02:46,  1.27s/it]
Epoch 45, training loss 0.120:  28%|██▊       | 51/182 [01:05<02:47,  1.28s/it]
Epoch 45, training loss 0.120:  29%|██▊       | 52/182 [01:05<02:44,  1.27s/it]
Epoch 45, training loss 0.120:  29%|██▊       | 52/182 [01:06<02:46,  1.28s/it]
Epoch 45, training loss 0.120:  29%|██▉       | 53/182 [01:06<02:43,  1.26s/it]
Epoch 45, training loss 0.119:  29%|██▉       | 53/182 [01:07<02:44,  1.28s/it]
Epoch 45, training loss 0.119:  30%|██▉       | 54/182 [01:08<02:41,  1.26s/it]
Epoch 45, training loss 0.118:  30%|██▉       | 54/182 [01:08<02:43,  1.27s/it]
Epoch 45, training loss 0.118:  30%|███       | 55/182 [01:09<02:39,  1.26s/it]
Epoch 45, training loss 0.118:  30%|███       | 55/182 [01:10<02:41,  1.27s/it]
Epoch 45, training loss 0.118:  31%|███       | 56/182 [01:10<02:38,  1.26s/it]
Epoch 45, training loss 0.119:  31%|███       | 56/182 [01:11<02:40,  1.27s/it]
Epoch 45, training loss 0.119:  31%|███▏      | 57/182 [01:11<02:37,  1.26s/it]
Epoch 45, training loss 0.119:  31%|███▏      | 57/182 [01:12<02:38,  1.27s/it]
Epoch 45, training loss 0.119:  32%|███▏      | 58/182 [01:12<02:35,  1.26s/it]
Epoch 45, training loss 0.119:  32%|███▏      | 58/182 [01:13<02:37,  1.27s/it]
Epoch 45, training loss 0.119:  32%|███▏      | 59/182 [01:13<02:34,  1.25s/it]
Epoch 45, training loss 0.118:  32%|███▏      | 59/182 [01:14<02:35,  1.27s/it]
Epoch 45, training loss 0.118:  33%|███▎      | 60/182 [01:15<02:32,  1.25s/it]
Epoch 45, training loss 0.121:  33%|███▎      | 60/182 [01:15<02:34,  1.26s/it]
Epoch 45, training loss 0.121:  34%|███▎      | 61/182 [01:16<02:31,  1.25s/it]
Epoch 45, training loss 0.119:  34%|███▎      | 61/182 [01:16<02:32,  1.26s/it]
Epoch 45, training loss 0.119:  34%|███▍      | 62/182 [01:17<02:29,  1.25s/it]
Epoch 45, training loss 0.118:  34%|███▍      | 62/182 [01:18<02:31,  1.26s/it]
Epoch 45, training loss 0.118:  35%|███▍      | 63/182 [01:18<02:28,  1.25s/it]
Epoch 45, training loss 0.123:  35%|███▍      | 63/182 [01:19<02:29,  1.26s/it]
Epoch 45, training loss 0.123:  35%|███▌      | 64/182 [01:19<02:27,  1.25s/it]
Epoch 45, training loss 0.125:  35%|███▌      | 64/182 [01:20<02:28,  1.26s/it]
Epoch 45, training loss 0.125:  36%|███▌      | 65/182 [01:20<02:25,  1.25s/it]
Epoch 45, training loss 0.124:  36%|███▌      | 65/182 [01:21<02:26,  1.26s/it]
Epoch 45, training loss 0.124:  36%|███▋      | 66/182 [01:22<02:24,  1.24s/it]
Epoch 45, training loss 0.123:  36%|███▋      | 66/182 [01:22<02:25,  1.25s/it]
Epoch 45, training loss 0.123:  37%|███▋      | 67/182 [01:23<02:22,  1.24s/it]
Epoch 45, training loss 0.122:  37%|███▋      | 67/182 [01:23<02:24,  1.25s/it]
Epoch 45, training loss 0.122:  37%|███▋      | 68/182 [01:24<02:21,  1.24s/it]
Epoch 45, training loss 0.121:  37%|███▋      | 68/182 [01:25<02:22,  1.25s/it]
Epoch 45, training loss 0.121:  38%|███▊      | 69/182 [01:25<02:20,  1.24s/it]
Epoch 45, training loss 0.122:  38%|███▊      | 69/182 [01:26<02:21,  1.25s/it]
Epoch 45, training loss 0.122:  38%|███▊      | 70/182 [01:26<02:18,  1.24s/it]
Epoch 45, training loss 0.125:  38%|███▊      | 70/182 [01:27<02:19,  1.25s/it]
Epoch 45, training loss 0.125:  39%|███▉      | 71/182 [01:27<02:17,  1.24s/it]
Epoch 45, training loss 0.124:  39%|███▉      | 71/182 [01:28<02:18,  1.25s/it]
Epoch 45, training loss 0.124:  40%|███▉      | 72/182 [01:29<02:15,  1.24s/it]
Epoch 45, training loss 0.125:  40%|███▉      | 72/182 [01:29<02:16,  1.24s/it]
Epoch 45, training loss 0.125:  40%|████      | 73/182 [01:30<02:14,  1.23s/it]
Epoch 45, training loss 0.124:  40%|████      | 73/182 [01:30<02:15,  1.24s/it]
Epoch 45, training loss 0.124:  41%|████      | 74/182 [01:31<02:13,  1.23s/it]
Epoch 45, training loss 0.123:  41%|████      | 74/182 [01:31<02:13,  1.24s/it]
Epoch 45, training loss 0.123:  41%|████      | 75/182 [01:32<02:11,  1.23s/it]
Epoch 45, training loss 0.123:  41%|████      | 75/182 [01:32<02:12,  1.24s/it]
Epoch 45, training loss 0.123:  42%|████▏     | 76/182 [01:33<02:10,  1.23s/it]
Epoch 45, training loss 0.122:  42%|████▏     | 76/182 [01:34<02:11,  1.24s/it]
Epoch 45, training loss 0.122:  42%|████▏     | 77/182 [01:34<02:08,  1.23s/it]
Epoch 45, training loss 0.126:  42%|████▏     | 77/182 [01:35<02:09,  1.24s/it]
Epoch 45, training loss 0.126:  43%|████▎     | 78/182 [01:35<02:07,  1.23s/it]
Epoch 45, training loss 0.128:  43%|████▎     | 78/182 [01:36<02:08,  1.24s/it]
Epoch 45, training loss 0.128:  43%|████▎     | 79/182 [01:36<02:06,  1.23s/it]
Epoch 45, training loss 0.129:  43%|████▎     | 79/182 [01:37<02:07,  1.24s/it]
Epoch 45, training loss 0.129:  44%|████▍     | 80/182 [01:38<02:05,  1.23s/it]
Epoch 45, training loss 0.130:  44%|████▍     | 80/182 [01:38<02:06,  1.24s/it]
Epoch 45, training loss 0.130:  45%|████▍     | 81/182 [01:39<02:03,  1.23s/it]
Epoch 45, training loss 0.131:  45%|████▍     | 81/182 [01:39<02:04,  1.23s/it]
Epoch 45, training loss 0.131:  45%|████▌     | 82/182 [01:40<02:02,  1.22s/it]
Epoch 45, training loss 0.130:  45%|████▌     | 82/182 [01:40<02:03,  1.23s/it]
Epoch 45, training loss 0.130:  46%|████▌     | 83/182 [01:41<02:01,  1.22s/it]
Epoch 45, training loss 0.129:  46%|████▌     | 83/182 [01:42<02:01,  1.23s/it]
Epoch 45, training loss 0.129:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 45, training loss 0.128:  46%|████▌     | 84/182 [01:43<02:00,  1.23s/it]
Epoch 45, training loss 0.128:  47%|████▋     | 85/182 [01:43<01:58,  1.22s/it]
Epoch 45, training loss 0.128:  47%|████▋     | 85/182 [01:44<01:59,  1.23s/it]
Epoch 45, training loss 0.128:  47%|████▋     | 86/182 [01:44<01:57,  1.22s/it]
Epoch 45, training loss 0.127:  47%|████▋     | 86/182 [01:45<01:57,  1.23s/it]
Epoch 45, training loss 0.127:  48%|████▊     | 87/182 [01:45<01:55,  1.22s/it]
Epoch 45, training loss 0.126:  48%|████▊     | 87/182 [01:46<01:56,  1.23s/it]
Epoch 45, training loss 0.126:  48%|████▊     | 88/182 [01:47<01:54,  1.22s/it]
Epoch 45, training loss 0.126:  48%|████▊     | 88/182 [01:47<01:55,  1.23s/it]
Epoch 45, training loss 0.126:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 45, training loss 0.125:  49%|████▉     | 89/182 [01:49<01:54,  1.23s/it]
Epoch 45, training loss 0.125:  49%|████▉     | 90/182 [01:49<01:52,  1.22s/it]
Epoch 45, training loss 0.124:  49%|████▉     | 90/182 [01:50<01:52,  1.23s/it]
Epoch 45, training loss 0.124:  50%|█████     | 91/182 [01:50<01:50,  1.22s/it]
Epoch 45, training loss 0.124:  50%|█████     | 91/182 [01:51<01:51,  1.23s/it]
Epoch 45, training loss 0.124:  51%|█████     | 92/182 [01:52<01:49,  1.22s/it]
Epoch 45, training loss 0.124:  51%|█████     | 92/182 [01:52<01:50,  1.23s/it]
Epoch 45, training loss 0.124:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 45, training loss 0.123:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 45, training loss 0.123:  52%|█████▏    | 94/182 [01:54<01:47,  1.22s/it]
Epoch 45, training loss 0.122:  52%|█████▏    | 94/182 [01:55<01:47,  1.22s/it]
Epoch 45, training loss 0.122:  52%|█████▏    | 95/182 [01:55<01:45,  1.22s/it]
Epoch 45, training loss 0.123:  52%|█████▏    | 95/182 [01:56<01:46,  1.22s/it]
Epoch 45, training loss 0.123:  53%|█████▎    | 96/182 [01:56<01:44,  1.22s/it]
Epoch 45, training loss 0.123:  53%|█████▎    | 96/182 [01:57<01:45,  1.22s/it]
Epoch 45, training loss 0.123:  53%|█████▎    | 97/182 [01:57<01:43,  1.22s/it]
Epoch 45, training loss 0.122:  53%|█████▎    | 97/182 [01:58<01:43,  1.22s/it]
Epoch 45, training loss 0.122:  54%|█████▍    | 98/182 [01:59<01:42,  1.21s/it]
Epoch 45, training loss 0.121:  54%|█████▍    | 98/182 [01:59<01:42,  1.22s/it]
Epoch 45, training loss 0.121:  54%|█████▍    | 99/182 [02:00<01:40,  1.21s/it]
Epoch 45, training loss 0.121:  54%|█████▍    | 99/182 [02:00<01:41,  1.22s/it]
Epoch 45, training loss 0.121:  55%|█████▍    | 100/182 [02:01<01:39,  1.21s/it]
Epoch 45, training loss 0.121:  55%|█████▍    | 100/182 [02:02<01:40,  1.22s/it]
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Epoch 45, training loss 0.119:  57%|█████▋    | 103/182 [02:04<01:35,  1.21s/it]
Epoch 45, training loss 0.122:  57%|█████▋    | 103/182 [02:05<01:36,  1.22s/it]
Epoch 45, training loss 0.122:  57%|█████▋    | 104/182 [02:06<01:34,  1.21s/it]
Epoch 45, training loss 0.121:  57%|█████▋    | 104/182 [02:06<01:35,  1.22s/it]
Epoch 45, training loss 0.121:  58%|█████▊    | 105/182 [02:07<01:33,  1.21s/it]
Epoch 45, training loss 0.121:  58%|█████▊    | 105/182 [02:07<01:33,  1.22s/it]
Epoch 45, training loss 0.121:  58%|█████▊    | 106/182 [02:08<01:32,  1.21s/it]
Epoch 45, training loss 0.120:  58%|█████▊    | 106/182 [02:08<01:32,  1.22s/it]
Epoch 45, training loss 0.120:  59%|█████▉    | 107/182 [02:09<01:30,  1.21s/it]
Epoch 45, training loss 0.120:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 45, training loss 0.120:  59%|█████▉    | 108/182 [02:10<01:29,  1.21s/it]
Epoch 45, training loss 0.119:  59%|█████▉    | 108/182 [02:11<01:29,  1.22s/it]
Epoch 45, training loss 0.119:  60%|█████▉    | 109/182 [02:11<01:28,  1.21s/it]
Epoch 45, training loss 0.118:  60%|█████▉    | 109/182 [02:12<01:28,  1.22s/it]
Epoch 45, training loss 0.118:  60%|██████    | 110/182 [02:13<01:27,  1.21s/it]
Epoch 45, training loss 0.118:  60%|██████    | 110/182 [02:13<01:27,  1.22s/it]
Epoch 45, training loss 0.118:  61%|██████    | 111/182 [02:14<01:25,  1.21s/it]
Epoch 45, training loss 0.117:  61%|██████    | 111/182 [02:14<01:26,  1.21s/it]
Epoch 45, training loss 0.117:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 45, training loss 0.117:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 45, training loss 0.117:  62%|██████▏   | 113/182 [02:16<01:23,  1.21s/it]
Epoch 45, training loss 0.116:  62%|██████▏   | 113/182 [02:17<01:23,  1.21s/it]
Epoch 45, training loss 0.116:  63%|██████▎   | 114/182 [02:17<01:22,  1.21s/it]
Epoch 45, training loss 0.116:  63%|██████▎   | 114/182 [02:18<01:22,  1.21s/it]
Epoch 45, training loss 0.116:  63%|██████▎   | 115/182 [02:18<01:20,  1.21s/it]
Epoch 45, training loss 0.117:  63%|██████▎   | 115/182 [02:19<01:21,  1.21s/it]
Epoch 45, training loss 0.117:  64%|██████▎   | 116/182 [02:20<01:19,  1.21s/it]
Epoch 45, training loss 0.116:  64%|██████▎   | 116/182 [02:20<01:20,  1.21s/it]
Epoch 45, training loss 0.116:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 45, training loss 0.116:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 45, training loss 0.116:  65%|██████▍   | 118/182 [02:22<01:17,  1.21s/it]
Epoch 45, training loss 0.115:  65%|██████▍   | 118/182 [02:23<01:17,  1.21s/it]
Epoch 45, training loss 0.115:  65%|██████▌   | 119/182 [02:23<01:16,  1.21s/it]
Epoch 45, training loss 0.115:  65%|██████▌   | 119/182 [02:24<01:16,  1.21s/it]
Epoch 45, training loss 0.115:  66%|██████▌   | 120/182 [02:24<01:14,  1.21s/it]
Epoch 45, training loss 0.115:  66%|██████▌   | 120/182 [02:25<01:15,  1.21s/it]
Epoch 45, training loss 0.115:  66%|██████▋   | 121/182 [02:26<01:13,  1.21s/it]
Epoch 45, training loss 0.116:  66%|██████▋   | 121/182 [02:26<01:13,  1.21s/it]
Epoch 45, training loss 0.116:  67%|██████▋   | 122/182 [02:27<01:12,  1.21s/it]
Epoch 45, training loss 0.115:  67%|██████▋   | 122/182 [02:27<01:12,  1.21s/it]
Epoch 45, training loss 0.115:  68%|██████▊   | 123/182 [02:28<01:11,  1.21s/it]
Epoch 45, training loss 0.119:  68%|██████▊   | 123/182 [02:28<01:11,  1.21s/it]
Epoch 45, training loss 0.119:  68%|██████▊   | 124/182 [02:29<01:09,  1.20s/it]
Epoch 45, training loss 0.119:  68%|██████▊   | 124/182 [02:29<01:10,  1.21s/it]
Epoch 45, training loss 0.119:  69%|██████▊   | 125/182 [02:30<01:08,  1.20s/it]
Epoch 45, training loss 0.118:  69%|██████▊   | 125/182 [02:31<01:08,  1.21s/it]
Epoch 45, training loss 0.118:  69%|██████▉   | 126/182 [02:31<01:07,  1.20s/it]
Epoch 45, training loss 0.118:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 45, training loss 0.118:  70%|██████▉   | 127/182 [02:32<01:06,  1.20s/it]
Epoch 45, training loss 0.118:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 45, training loss 0.118:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 45, training loss 0.117:  70%|███████   | 128/182 [02:34<01:05,  1.21s/it]
Epoch 45, training loss 0.117:  71%|███████   | 129/182 [02:35<01:03,  1.20s/it]
Epoch 45, training loss 0.117:  71%|███████   | 129/182 [02:35<01:04,  1.21s/it]
Epoch 45, training loss 0.117:  71%|███████▏  | 130/182 [02:36<01:02,  1.20s/it]
Epoch 45, training loss 0.117:  71%|███████▏  | 130/182 [02:36<01:02,  1.21s/it]
Epoch 45, training loss 0.117:  72%|███████▏  | 131/182 [02:37<01:01,  1.20s/it]
Epoch 45, training loss 0.117:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 45, training loss 0.117:  73%|███████▎  | 132/182 [02:38<01:00,  1.20s/it]
Epoch 45, training loss 0.116:  73%|███████▎  | 132/182 [02:39<01:00,  1.21s/it]
Epoch 45, training loss 0.116:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 45, training loss 0.116:  73%|███████▎  | 133/182 [02:40<00:59,  1.21s/it]
Epoch 45, training loss 0.116:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
Epoch 45, training loss 0.115:  74%|███████▎  | 134/182 [02:41<00:57,  1.21s/it]
Epoch 45, training loss 0.115:  74%|███████▍  | 135/182 [02:42<00:56,  1.20s/it]
Epoch 45, training loss 0.116:  74%|███████▍  | 135/182 [02:42<00:56,  1.21s/it]
Epoch 45, training loss 0.116:  75%|███████▍  | 136/182 [02:43<00:55,  1.20s/it]
Epoch 45, training loss 0.115:  75%|███████▍  | 136/182 [02:43<00:55,  1.20s/it]
Epoch 45, training loss 0.115:  75%|███████▌  | 137/182 [02:44<00:53,  1.20s/it]
Epoch 45, training loss 0.120:  75%|███████▌  | 137/182 [02:45<00:54,  1.20s/it]
Epoch 45, training loss 0.120:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 45, training loss 0.120:  76%|███████▌  | 138/182 [02:46<00:52,  1.20s/it]
Epoch 45, training loss 0.120:  76%|███████▋  | 139/182 [02:46<00:51,  1.20s/it]
Epoch 45, training loss 0.119:  76%|███████▋  | 139/182 [02:47<00:51,  1.20s/it]
Epoch 45, training loss 0.119:  77%|███████▋  | 140/182 [02:47<00:50,  1.20s/it]
Epoch 45, training loss 0.119:  77%|███████▋  | 140/182 [02:48<00:50,  1.20s/it]
Epoch 45, training loss 0.119:  77%|███████▋  | 141/182 [02:48<00:49,  1.20s/it]
Epoch 45, training loss 0.118:  77%|███████▋  | 141/182 [02:49<00:49,  1.20s/it]
Epoch 45, training loss 0.118:  78%|███████▊  | 142/182 [02:50<00:47,  1.20s/it]
Epoch 45, training loss 0.119:  78%|███████▊  | 142/182 [02:50<00:48,  1.20s/it]
Epoch 45, training loss 0.119:  79%|███████▊  | 143/182 [02:51<00:46,  1.20s/it]
Epoch 45, training loss 0.121:  79%|███████▊  | 143/182 [02:51<00:46,  1.20s/it]
Epoch 45, training loss 0.121:  79%|███████▉  | 144/182 [02:52<00:45,  1.20s/it]
Epoch 45, training loss 0.121:  79%|███████▉  | 144/182 [02:52<00:45,  1.20s/it]
Epoch 45, training loss 0.121:  80%|███████▉  | 145/182 [02:53<00:44,  1.20s/it]
Epoch 45, training loss 0.121:  80%|███████▉  | 145/182 [02:53<00:44,  1.20s/it]
Epoch 45, training loss 0.121:  80%|████████  | 146/182 [02:54<00:43,  1.19s/it]
Epoch 45, training loss 0.121:  80%|████████  | 146/182 [02:55<00:43,  1.20s/it]
Epoch 45, training loss 0.121:  81%|████████  | 147/182 [02:55<00:41,  1.19s/it]
Epoch 45, training loss 0.121:  81%|████████  | 147/182 [02:56<00:41,  1.20s/it]
Epoch 45, training loss 0.121:  81%|████████▏ | 148/182 [02:56<00:40,  1.19s/it]
Epoch 45, training loss 0.121:  81%|████████▏ | 148/182 [02:57<00:40,  1.20s/it]
Epoch 45, training loss 0.121:  82%|████████▏ | 149/182 [02:57<00:39,  1.19s/it]
Epoch 45, training loss 0.121:  82%|████████▏ | 149/182 [02:58<00:39,  1.20s/it]
Epoch 45, training loss 0.121:  82%|████████▏ | 150/182 [02:59<00:38,  1.19s/it]
Epoch 45, training loss 0.120:  82%|████████▏ | 150/182 [02:59<00:38,  1.20s/it]
Epoch 45, training loss 0.120:  83%|████████▎ | 151/182 [03:00<00:37,  1.19s/it]
Epoch 45, training loss 0.121:  83%|████████▎ | 151/182 [03:00<00:37,  1.20s/it]
Epoch 45, training loss 0.121:  84%|████████▎ | 152/182 [03:01<00:35,  1.19s/it]
Epoch 45, training loss 0.120:  84%|████████▎ | 152/182 [03:02<00:35,  1.20s/it]
Epoch 45, training loss 0.120:  84%|████████▍ | 153/182 [03:02<00:34,  1.19s/it]
Epoch 45, training loss 0.120:  84%|████████▍ | 153/182 [03:03<00:34,  1.20s/it]
Epoch 45, training loss 0.120:  85%|████████▍ | 154/182 [03:03<00:33,  1.19s/it]
Epoch 45, training loss 0.121:  85%|████████▍ | 154/182 [03:04<00:33,  1.20s/it]
Epoch 45, training loss 0.121:  85%|████████▌ | 155/182 [03:04<00:32,  1.19s/it]
Epoch 45, training loss 0.120:  85%|████████▌ | 155/182 [03:05<00:32,  1.20s/it]
Epoch 45, training loss 0.120:  86%|████████▌ | 156/182 [03:06<00:31,  1.19s/it]
Epoch 45, training loss 0.120:  86%|████████▌ | 156/182 [03:06<00:31,  1.20s/it]
Epoch 45, training loss 0.120:  86%|████████▋ | 157/182 [03:07<00:29,  1.19s/it]
Epoch 45, training loss 0.120:  86%|████████▋ | 157/182 [03:07<00:29,  1.20s/it]
Epoch 45, training loss 0.120:  87%|████████▋ | 158/182 [03:08<00:28,  1.19s/it]
Epoch 45, training loss 0.120:  87%|████████▋ | 158/182 [03:09<00:28,  1.20s/it]
Epoch 45, training loss 0.120:  87%|████████▋ | 159/182 [03:09<00:27,  1.19s/it]
Epoch 45, training loss 0.120:  87%|████████▋ | 159/182 [03:10<00:27,  1.20s/it]
Epoch 45, training loss 0.120:  88%|████████▊ | 160/182 [03:10<00:26,  1.19s/it]
Epoch 45, training loss 0.120:  88%|████████▊ | 160/182 [03:11<00:26,  1.20s/it]
Epoch 45, training loss 0.120:  88%|████████▊ | 161/182 [03:11<00:25,  1.19s/it]
Epoch 45, training loss 0.120:  88%|████████▊ | 161/182 [03:12<00:25,  1.20s/it]
Epoch 45, training loss 0.120:  89%|████████▉ | 162/182 [03:13<00:23,  1.19s/it]
Epoch 45, training loss 0.119:  89%|████████▉ | 162/182 [03:13<00:23,  1.20s/it]
Epoch 45, training loss 0.119:  90%|████████▉ | 163/182 [03:14<00:22,  1.19s/it]
Epoch 45, training loss 0.119:  90%|████████▉ | 163/182 [03:14<00:22,  1.20s/it]
Epoch 45, training loss 0.119:  90%|█████████ | 164/182 [03:15<00:21,  1.19s/it]
Epoch 45, training loss 0.119:  90%|█████████ | 164/182 [03:15<00:21,  1.19s/it]
Epoch 45, training loss 0.119:  91%|█████████ | 165/182 [03:16<00:20,  1.19s/it]
Epoch 45, training loss 0.119:  91%|█████████ | 165/182 [03:17<00:20,  1.19s/it]
Epoch 45, training loss 0.119:  91%|█████████ | 166/182 [03:17<00:19,  1.19s/it]
Epoch 45, training loss 0.119:  91%|█████████ | 166/182 [03:18<00:19,  1.19s/it]
Epoch 45, training loss 0.119:  92%|█████████▏| 167/182 [03:18<00:17,  1.19s/it]
Epoch 45, training loss 0.120:  92%|█████████▏| 167/182 [03:19<00:17,  1.19s/it]
Epoch 45, training loss 0.120:  92%|█████████▏| 168/182 [03:19<00:16,  1.19s/it]
Epoch 45, training loss 0.120:  92%|█████████▏| 168/182 [03:20<00:16,  1.19s/it]
Epoch 45, training loss 0.120:  93%|█████████▎| 169/182 [03:20<00:15,  1.19s/it]
Epoch 45, training loss 0.120:  93%|█████████▎| 169/182 [03:21<00:15,  1.19s/it]
Epoch 45, training loss 0.120:  93%|█████████▎| 170/182 [03:22<00:14,  1.19s/it]
Epoch 45, training loss 0.119:  93%|█████████▎| 170/182 [03:22<00:14,  1.19s/it]
Epoch 45, training loss 0.119:  94%|█████████▍| 171/182 [03:23<00:13,  1.19s/it]
Epoch 45, training loss 0.119:  94%|█████████▍| 171/182 [03:24<00:13,  1.19s/it]
Epoch 45, training loss 0.119:  95%|█████████▍| 172/182 [03:24<00:11,  1.19s/it]
Epoch 45, training loss 0.118:  95%|█████████▍| 172/182 [03:25<00:11,  1.19s/it]
Epoch 45, training loss 0.118:  95%|█████████▌| 173/182 [03:25<00:10,  1.19s/it]
Epoch 45, training loss 0.118:  95%|█████████▌| 173/182 [03:26<00:10,  1.19s/it]
Epoch 45, training loss 0.118:  96%|█████████▌| 174/182 [03:26<00:09,  1.19s/it]
Epoch 45, training loss 0.118:  96%|█████████▌| 174/182 [03:27<00:09,  1.19s/it]
Epoch 45, training loss 0.118:  96%|█████████▌| 175/182 [03:27<00:08,  1.19s/it]
Epoch 45, training loss 0.117:  96%|█████████▌| 175/182 [03:28<00:08,  1.19s/it]
Epoch 45, training loss 0.117:  97%|█████████▋| 176/182 [03:29<00:07,  1.19s/it]
Epoch 45, training loss 0.117:  97%|█████████▋| 176/182 [03:29<00:07,  1.19s/it]
Epoch 45, training loss 0.117:  97%|█████████▋| 177/182 [03:30<00:05,  1.19s/it]
Epoch 45, training loss 0.118:  97%|█████████▋| 177/182 [03:31<00:05,  1.19s/it]
Epoch 45, training loss 0.118:  98%|█████████▊| 178/182 [03:31<00:04,  1.19s/it]
Epoch 45, training loss 0.118:  98%|█████████▊| 178/182 [03:32<00:04,  1.19s/it]
Epoch 45, training loss 0.118:  98%|█████████▊| 179/182 [03:32<00:03,  1.19s/it]
Epoch 45, training loss 0.118:  98%|█████████▊| 179/182 [03:33<00:03,  1.19s/it]
Epoch 45, training loss 0.118:  99%|█████████▉| 180/182 [03:33<00:02,  1.19s/it]
Epoch 45, training loss 0.117:  99%|█████████▉| 180/182 [03:34<00:02,  1.19s/it]
Epoch 45, training loss 0.117:  99%|█████████▉| 181/182 [03:34<00:01,  1.19s/it]
Epoch 45, training loss 0.117:  99%|█████████▉| 181/182 [03:35<00:01,  1.19s/it]
Epoch 45, training loss 0.117: 100%|██████████| 182/182 [03:35<00:00,  1.19s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.544:   0%|          | 0/90 [00:05<?, ?it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.544:   1%|          | 1/90 [00:05<07:31,  5.07s/it]
Epoch 45, validation pixAcc: 0.978, mIoU: 0.725:   1%|          | 1/90 [00:05<08:08,  5.49s/it]
Epoch 45, validation pixAcc: 0.978, mIoU: 0.725:   2%|▏         | 2/90 [00:05<04:01,  2.75s/it]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.790:   2%|▏         | 2/90 [00:05<04:20,  2.96s/it]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.790:   3%|▎         | 3/90 [00:05<02:51,  1.98s/it]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.802:   3%|▎         | 3/90 [00:06<03:04,  2.12s/it]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.802:   4%|▍         | 4/90 [00:06<02:16,  1.59s/it]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.904:   4%|▍         | 4/90 [00:06<02:25,  1.69s/it]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.904:   6%|▌         | 5/90 [00:06<01:55,  1.36s/it]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.903:   6%|▌         | 5/90 [00:07<02:02,  1.44s/it]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.903:   7%|▋         | 6/90 [00:07<01:40,  1.20s/it]
Epoch 45, validation pixAcc: 0.979, mIoU: 0.897:   7%|▋         | 6/90 [00:07<01:46,  1.27s/it]
Epoch 45, validation pixAcc: 0.979, mIoU: 0.897:   8%|▊         | 7/90 [00:07<01:30,  1.09s/it]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.898:   8%|▊         | 7/90 [00:08<01:35,  1.16s/it]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.898:   9%|▉         | 8/90 [00:08<01:22,  1.01s/it]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.900:   9%|▉         | 8/90 [00:08<01:27,  1.07s/it]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.900:  10%|█         | 9/90 [00:08<01:16,  1.05it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.908:  10%|█         | 9/90 [00:08<01:20,  1.00it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.908:  11%|█         | 10/90 [00:08<01:11,  1.11it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.906:  11%|█         | 10/90 [00:09<01:15,  1.06it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.906:  12%|█▏        | 11/90 [00:09<01:07,  1.17it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.904:  12%|█▏        | 11/90 [00:09<01:10,  1.12it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.904:  13%|█▎        | 12/90 [00:09<01:03,  1.22it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.907:  13%|█▎        | 12/90 [00:10<01:06,  1.17it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.907:  14%|█▍        | 13/90 [00:10<01:00,  1.27it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.914:  14%|█▍        | 13/90 [00:10<01:03,  1.22it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.914:  16%|█▌        | 14/90 [00:10<00:57,  1.31it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.913:  16%|█▌        | 14/90 [00:11<00:59,  1.27it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.913:  17%|█▋        | 15/90 [00:11<00:55,  1.36it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.918:  17%|█▋        | 15/90 [00:11<00:57,  1.31it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.918:  18%|█▊        | 16/90 [00:11<00:53,  1.39it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.917:  18%|█▊        | 16/90 [00:11<00:55,  1.34it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.917:  19%|█▉        | 17/90 [00:11<00:51,  1.42it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.915:  19%|█▉        | 17/90 [00:12<00:53,  1.38it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.915:  20%|██        | 18/90 [00:12<00:49,  1.46it/s]
Epoch 45, validation pixAcc: 0.979, mIoU: 0.909:  20%|██        | 18/90 [00:12<00:51,  1.41it/s]
Epoch 45, validation pixAcc: 0.979, mIoU: 0.909:  21%|██        | 19/90 [00:12<00:47,  1.49it/s]
Epoch 45, validation pixAcc: 0.978, mIoU: 0.906:  21%|██        | 19/90 [00:13<00:49,  1.44it/s]
Epoch 45, validation pixAcc: 0.978, mIoU: 0.906:  22%|██▏       | 20/90 [00:13<00:46,  1.51it/s]
Epoch 45, validation pixAcc: 0.979, mIoU: 0.909:  22%|██▏       | 20/90 [00:13<00:47,  1.47it/s]
Epoch 45, validation pixAcc: 0.979, mIoU: 0.909:  23%|██▎       | 21/90 [00:13<00:44,  1.54it/s]
Epoch 45, validation pixAcc: 0.978, mIoU: 0.906:  23%|██▎       | 21/90 [00:14<00:46,  1.49it/s]
Epoch 45, validation pixAcc: 0.978, mIoU: 0.906:  24%|██▍       | 22/90 [00:14<00:43,  1.56it/s]
Epoch 45, validation pixAcc: 0.978, mIoU: 0.908:  24%|██▍       | 22/90 [00:14<00:44,  1.52it/s]
Epoch 45, validation pixAcc: 0.978, mIoU: 0.908:  26%|██▌       | 23/90 [00:14<00:42,  1.59it/s]
Epoch 45, validation pixAcc: 0.979, mIoU: 0.908:  26%|██▌       | 23/90 [00:14<00:43,  1.54it/s]
Epoch 45, validation pixAcc: 0.979, mIoU: 0.908:  27%|██▋       | 24/90 [00:14<00:41,  1.61it/s]
Epoch 45, validation pixAcc: 0.979, mIoU: 0.908:  27%|██▋       | 24/90 [00:15<00:42,  1.57it/s]
Epoch 45, validation pixAcc: 0.979, mIoU: 0.908:  28%|██▊       | 25/90 [00:15<00:39,  1.63it/s]
Epoch 45, validation pixAcc: 0.978, mIoU: 0.908:  28%|██▊       | 25/90 [00:15<00:40,  1.59it/s]
Epoch 45, validation pixAcc: 0.978, mIoU: 0.908:  29%|██▉       | 26/90 [00:15<00:38,  1.66it/s]
Epoch 45, validation pixAcc: 0.978, mIoU: 0.911:  29%|██▉       | 26/90 [00:16<00:39,  1.62it/s]
Epoch 45, validation pixAcc: 0.978, mIoU: 0.911:  30%|███       | 27/90 [00:16<00:37,  1.68it/s]
Epoch 45, validation pixAcc: 0.979, mIoU: 0.913:  30%|███       | 27/90 [00:16<00:38,  1.63it/s]
Epoch 45, validation pixAcc: 0.979, mIoU: 0.913:  31%|███       | 28/90 [00:16<00:36,  1.69it/s]
Epoch 45, validation pixAcc: 0.979, mIoU: 0.912:  31%|███       | 28/90 [00:16<00:37,  1.65it/s]
Epoch 45, validation pixAcc: 0.979, mIoU: 0.912:  32%|███▏      | 29/90 [00:16<00:35,  1.71it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.914:  32%|███▏      | 29/90 [00:17<00:36,  1.66it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.914:  33%|███▎      | 30/90 [00:17<00:34,  1.72it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.915:  33%|███▎      | 30/90 [00:17<00:35,  1.68it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.915:  34%|███▍      | 31/90 [00:17<00:34,  1.73it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.916:  34%|███▍      | 31/90 [00:18<00:34,  1.69it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.916:  36%|███▌      | 32/90 [00:18<00:33,  1.75it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.917:  36%|███▌      | 32/90 [00:18<00:33,  1.71it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.917:  37%|███▋      | 33/90 [00:18<00:32,  1.76it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.918:  37%|███▋      | 33/90 [00:19<00:33,  1.72it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.918:  38%|███▊      | 34/90 [00:19<00:31,  1.77it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.918:  38%|███▊      | 34/90 [00:19<00:32,  1.74it/s]
Epoch 45, validation pixAcc: 0.980, mIoU: 0.918:  39%|███▉      | 35/90 [00:19<00:30,  1.79it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.918:  39%|███▉      | 35/90 [00:20<00:31,  1.75it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.918:  40%|████      | 36/90 [00:20<00:30,  1.80it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.918:  40%|████      | 36/90 [00:20<00:30,  1.76it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.918:  41%|████      | 37/90 [00:20<00:29,  1.81it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.918:  41%|████      | 37/90 [00:20<00:29,  1.77it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.918:  42%|████▏     | 38/90 [00:20<00:28,  1.82it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.919:  42%|████▏     | 38/90 [00:21<00:29,  1.78it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.919:  43%|████▎     | 39/90 [00:21<00:27,  1.83it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.920:  43%|████▎     | 39/90 [00:21<00:28,  1.79it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.920:  44%|████▍     | 40/90 [00:21<00:27,  1.84it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.920:  44%|████▍     | 40/90 [00:22<00:27,  1.80it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.920:  46%|████▌     | 41/90 [00:22<00:26,  1.85it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.920:  46%|████▌     | 41/90 [00:22<00:27,  1.81it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.920:  47%|████▋     | 42/90 [00:22<00:25,  1.86it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.921:  47%|████▋     | 42/90 [00:23<00:26,  1.82it/s]
Epoch 45, validation pixAcc: 0.981, mIoU: 0.921:  48%|████▊     | 43/90 [00:23<00:25,  1.87it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.921:  48%|████▊     | 43/90 [00:23<00:25,  1.83it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.921:  49%|████▉     | 44/90 [00:23<00:24,  1.88it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.921:  49%|████▉     | 44/90 [00:23<00:24,  1.84it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.921:  50%|█████     | 45/90 [00:23<00:23,  1.88it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.922:  50%|█████     | 45/90 [00:24<00:24,  1.85it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/90 [00:24<00:23,  1.89it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/90 [00:24<00:23,  1.85it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.922:  52%|█████▏    | 47/90 [00:24<00:22,  1.89it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.922:  52%|█████▏    | 47/90 [00:25<00:23,  1.86it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/90 [00:25<00:22,  1.90it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.921:  53%|█████▎    | 48/90 [00:25<00:22,  1.87it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.921:  54%|█████▍    | 49/90 [00:25<00:21,  1.91it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/90 [00:26<00:21,  1.88it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.922:  56%|█████▌    | 50/90 [00:26<00:20,  1.91it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.922:  56%|█████▌    | 50/90 [00:26<00:21,  1.88it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.922:  57%|█████▋    | 51/90 [00:26<00:20,  1.92it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 51/90 [00:26<00:20,  1.89it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.923:  58%|█████▊    | 52/90 [00:26<00:19,  1.93it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.921:  58%|█████▊    | 52/90 [00:27<00:20,  1.90it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.921:  59%|█████▉    | 53/90 [00:27<00:19,  1.93it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.922:  59%|█████▉    | 53/90 [00:27<00:19,  1.90it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.922:  60%|██████    | 54/90 [00:27<00:18,  1.94it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.922:  60%|██████    | 54/90 [00:28<00:18,  1.91it/s]
Epoch 45, validation pixAcc: 0.982, mIoU: 0.922:  61%|██████    | 55/90 [00:28<00:17,  1.95it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.923:  61%|██████    | 55/90 [00:28<00:18,  1.92it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.923:  62%|██████▏   | 56/90 [00:28<00:17,  1.95it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.923:  62%|██████▏   | 56/90 [00:29<00:17,  1.93it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/90 [00:29<00:16,  1.96it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/90 [00:29<00:17,  1.94it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▍   | 58/90 [00:29<00:16,  1.97it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▍   | 58/90 [00:29<00:16,  1.94it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.923:  66%|██████▌   | 59/90 [00:29<00:15,  1.98it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.922:  66%|██████▌   | 59/90 [00:30<00:15,  1.95it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.922:  67%|██████▋   | 60/90 [00:30<00:15,  1.98it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.923:  67%|██████▋   | 60/90 [00:30<00:15,  1.96it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.923:  68%|██████▊   | 61/90 [00:30<00:14,  1.99it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 61/90 [00:31<00:14,  1.96it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 62/90 [00:31<00:14,  1.99it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 62/90 [00:31<00:14,  1.96it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.924:  70%|███████   | 63/90 [00:31<00:13,  2.00it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 63/90 [00:31<00:13,  1.97it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████   | 64/90 [00:31<00:12,  2.00it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████   | 64/90 [00:32<00:13,  1.98it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.925:  72%|███████▏  | 65/90 [00:32<00:12,  2.01it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.925:  72%|███████▏  | 65/90 [00:32<00:12,  1.98it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.925:  73%|███████▎  | 66/90 [00:32<00:11,  2.01it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.925:  73%|███████▎  | 66/90 [00:33<00:12,  1.99it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▍  | 67/90 [00:33<00:11,  2.02it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▍  | 67/90 [00:33<00:11,  1.99it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 68/90 [00:33<00:10,  2.02it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 68/90 [00:34<00:11,  2.00it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.925:  77%|███████▋  | 69/90 [00:34<00:10,  2.03it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.925:  77%|███████▋  | 69/90 [00:34<00:10,  2.00it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.925:  78%|███████▊  | 70/90 [00:34<00:09,  2.03it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.926:  78%|███████▊  | 70/90 [00:34<00:09,  2.00it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.926:  79%|███████▉  | 71/90 [00:34<00:09,  2.03it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.926:  79%|███████▉  | 71/90 [00:35<00:09,  2.01it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.926:  80%|████████  | 72/90 [00:35<00:08,  2.03it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.926:  80%|████████  | 72/90 [00:35<00:08,  2.01it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.926:  81%|████████  | 73/90 [00:35<00:08,  2.04it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.926:  81%|████████  | 73/90 [00:36<00:08,  2.01it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.926:  82%|████████▏ | 74/90 [00:36<00:07,  2.04it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.926:  82%|████████▏ | 74/90 [00:36<00:07,  2.02it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.926:  83%|████████▎ | 75/90 [00:36<00:07,  2.04it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.926:  83%|████████▎ | 75/90 [00:37<00:07,  2.02it/s]
Epoch 45, validation pixAcc: 0.983, mIoU: 0.926:  84%|████████▍ | 76/90 [00:37<00:06,  2.05it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.927:  84%|████████▍ | 76/90 [00:37<00:06,  2.03it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.927:  86%|████████▌ | 77/90 [00:37<00:06,  2.05it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.926:  86%|████████▌ | 77/90 [00:37<00:06,  2.03it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.926:  87%|████████▋ | 78/90 [00:37<00:05,  2.06it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.927:  87%|████████▋ | 78/90 [00:38<00:05,  2.04it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.927:  88%|████████▊ | 79/90 [00:38<00:05,  2.06it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.927:  88%|████████▊ | 79/90 [00:38<00:05,  2.04it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.927:  89%|████████▉ | 80/90 [00:38<00:04,  2.07it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.927:  89%|████████▉ | 80/90 [00:39<00:04,  2.04it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.927:  90%|█████████ | 81/90 [00:39<00:04,  2.07it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  90%|█████████ | 81/90 [00:39<00:04,  2.05it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  91%|█████████ | 82/90 [00:39<00:03,  2.07it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  91%|█████████ | 82/90 [00:39<00:03,  2.05it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  92%|█████████▏| 83/90 [00:39<00:03,  2.08it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  92%|█████████▏| 83/90 [00:40<00:03,  2.06it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 84/90 [00:40<00:02,  2.08it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 84/90 [00:40<00:02,  2.06it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  94%|█████████▍| 85/90 [00:40<00:02,  2.08it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  94%|█████████▍| 85/90 [00:41<00:02,  2.06it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 86/90 [00:41<00:01,  2.09it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 86/90 [00:41<00:01,  2.07it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 87/90 [00:41<00:01,  2.09it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 87/90 [00:42<00:01,  2.07it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 88/90 [00:42<00:00,  2.09it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 88/90 [00:42<00:00,  2.07it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  99%|█████████▉| 89/90 [00:42<00:00,  2.10it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928:  99%|█████████▉| 89/90 [00:42<00:00,  2.08it/s]
Epoch 45, validation pixAcc: 0.984, mIoU: 0.928: 100%|██████████| 90/90 [00:42<00:00,  2.10it/s]

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Epoch 46, training loss 0.044:   0%|          | 0/182 [00:05<?, ?it/s]
Epoch 46, training loss 0.044:   1%|          | 1/182 [00:05<17:36,  5.84s/it]
Epoch 46, training loss 0.030:   1%|          | 1/182 [00:06<19:44,  6.54s/it]
Epoch 46, training loss 0.030:   1%|          | 2/182 [00:07<10:33,  3.52s/it]
Epoch 46, training loss 0.053:   1%|          | 2/182 [00:07<11:36,  3.87s/it]
Epoch 46, training loss 0.053:   2%|▏         | 3/182 [00:08<08:10,  2.74s/it]
Epoch 46, training loss 0.163:   2%|▏         | 3/182 [00:08<08:54,  2.98s/it]
Epoch 46, training loss 0.163:   2%|▏         | 4/182 [00:09<06:59,  2.35s/it]
Epoch 46, training loss 0.138:   2%|▏         | 4/182 [00:10<07:27,  2.51s/it]
Epoch 46, training loss 0.138:   3%|▎         | 5/182 [00:10<06:13,  2.11s/it]
Epoch 46, training loss 0.148:   3%|▎         | 5/182 [00:11<06:36,  2.24s/it]
Epoch 46, training loss 0.148:   3%|▎         | 6/182 [00:11<05:43,  1.95s/it]
Epoch 46, training loss 0.140:   3%|▎         | 6/182 [00:12<06:02,  2.06s/it]
Epoch 46, training loss 0.140:   4%|▍         | 7/182 [00:12<05:21,  1.84s/it]
Epoch 46, training loss 0.129:   4%|▍         | 7/182 [00:13<05:41,  1.95s/it]
Epoch 46, training loss 0.129:   4%|▍         | 8/182 [00:14<05:08,  1.77s/it]
Epoch 46, training loss 0.121:   4%|▍         | 8/182 [00:14<05:23,  1.86s/it]
Epoch 46, training loss 0.121:   5%|▍         | 9/182 [00:15<04:55,  1.71s/it]
Epoch 46, training loss 0.115:   5%|▍         | 9/182 [00:15<05:07,  1.78s/it]
Epoch 46, training loss 0.115:   5%|▌         | 10/182 [00:16<04:43,  1.65s/it]
Epoch 46, training loss 0.131:   5%|▌         | 10/182 [00:17<04:57,  1.73s/it]
Epoch 46, training loss 0.131:   6%|▌         | 11/182 [00:17<04:36,  1.62s/it]
Epoch 46, training loss 0.127:   6%|▌         | 11/182 [00:18<04:46,  1.67s/it]
Epoch 46, training loss 0.127:   7%|▋         | 12/182 [00:18<04:28,  1.58s/it]
Epoch 46, training loss 0.122:   7%|▋         | 12/182 [00:19<04:37,  1.63s/it]
Epoch 46, training loss 0.122:   7%|▋         | 13/182 [00:20<04:21,  1.55s/it]
Epoch 46, training loss 0.120:   7%|▋         | 13/182 [00:20<04:30,  1.60s/it]
Epoch 46, training loss 0.120:   8%|▊         | 14/182 [00:21<04:15,  1.52s/it]
Epoch 46, training loss 0.115:   8%|▊         | 14/182 [00:21<04:23,  1.57s/it]
Epoch 46, training loss 0.115:   8%|▊         | 15/182 [00:22<04:09,  1.50s/it]
Epoch 46, training loss 0.112:   8%|▊         | 15/182 [00:23<04:17,  1.54s/it]
Epoch 46, training loss 0.112:   9%|▉         | 16/182 [00:23<04:05,  1.48s/it]
Epoch 46, training loss 0.110:   9%|▉         | 16/182 [00:24<04:11,  1.52s/it]
Epoch 46, training loss 0.110:   9%|▉         | 17/182 [00:24<04:00,  1.46s/it]
Epoch 46, training loss 0.105:   9%|▉         | 17/182 [00:25<04:07,  1.50s/it]
Epoch 46, training loss 0.105:  10%|▉         | 18/182 [00:25<03:56,  1.44s/it]
Epoch 46, training loss 0.101:  10%|▉         | 18/182 [00:26<04:02,  1.48s/it]
Epoch 46, training loss 0.101:  10%|█         | 19/182 [00:27<03:52,  1.43s/it]
Epoch 46, training loss 0.101:  10%|█         | 19/182 [00:27<03:58,  1.46s/it]
Epoch 46, training loss 0.101:  11%|█         | 20/182 [00:28<03:48,  1.41s/it]
Epoch 46, training loss 0.102:  11%|█         | 20/182 [00:28<03:54,  1.45s/it]
Epoch 46, training loss 0.102:  12%|█▏        | 21/182 [00:29<03:45,  1.40s/it]
Epoch 46, training loss 0.098:  12%|█▏        | 21/182 [00:30<03:51,  1.44s/it]
Epoch 46, training loss 0.098:  12%|█▏        | 22/182 [00:30<03:43,  1.39s/it]
Epoch 46, training loss 0.103:  12%|█▏        | 22/182 [00:31<03:48,  1.43s/it]
Epoch 46, training loss 0.103:  13%|█▎        | 23/182 [00:31<03:40,  1.39s/it]
Epoch 46, training loss 0.101:  13%|█▎        | 23/182 [00:32<03:45,  1.42s/it]
Epoch 46, training loss 0.101:  13%|█▎        | 24/182 [00:33<03:37,  1.38s/it]
Epoch 46, training loss 0.099:  13%|█▎        | 24/182 [00:33<03:42,  1.41s/it]
Epoch 46, training loss 0.099:  14%|█▎        | 25/182 [00:34<03:35,  1.37s/it]
Epoch 46, training loss 0.102:  14%|█▎        | 25/182 [00:34<03:39,  1.40s/it]
Epoch 46, training loss 0.102:  14%|█▍        | 26/182 [00:35<03:32,  1.36s/it]
Epoch 46, training loss 0.100:  14%|█▍        | 26/182 [00:36<03:36,  1.39s/it]
Epoch 46, training loss 0.100:  15%|█▍        | 27/182 [00:36<03:29,  1.35s/it]
Epoch 46, training loss 0.097:  15%|█▍        | 27/182 [00:37<03:33,  1.38s/it]
Epoch 46, training loss 0.097:  15%|█▌        | 28/182 [00:37<03:27,  1.35s/it]
Epoch 46, training loss 0.096:  15%|█▌        | 28/182 [00:38<03:31,  1.37s/it]
Epoch 46, training loss 0.096:  16%|█▌        | 29/182 [00:38<03:25,  1.34s/it]
Epoch 46, training loss 0.103:  16%|█▌        | 29/182 [00:39<03:28,  1.36s/it]
Epoch 46, training loss 0.103:  16%|█▋        | 30/182 [00:40<03:23,  1.34s/it]
Epoch 46, training loss 0.102:  16%|█▋        | 30/182 [00:40<03:26,  1.36s/it]
Epoch 46, training loss 0.102:  17%|█▋        | 31/182 [00:41<03:21,  1.33s/it]
Epoch 46, training loss 0.100:  17%|█▋        | 31/182 [00:41<03:23,  1.35s/it]
Epoch 46, training loss 0.100:  18%|█▊        | 32/182 [00:42<03:18,  1.32s/it]
Epoch 46, training loss 0.098:  18%|█▊        | 32/182 [00:42<03:21,  1.34s/it]
Epoch 46, training loss 0.098:  18%|█▊        | 33/182 [00:43<03:16,  1.32s/it]
Epoch 46, training loss 0.100:  18%|█▊        | 33/182 [00:44<03:19,  1.34s/it]
Epoch 46, training loss 0.100:  19%|█▊        | 34/182 [00:44<03:14,  1.31s/it]
Epoch 46, training loss 0.099:  19%|█▊        | 34/182 [00:45<03:17,  1.33s/it]
Epoch 46, training loss 0.099:  19%|█▉        | 35/182 [00:45<03:12,  1.31s/it]
Epoch 46, training loss 0.101:  19%|█▉        | 35/182 [00:46<03:15,  1.33s/it]
Epoch 46, training loss 0.101:  20%|█▉        | 36/182 [00:47<03:10,  1.31s/it]
Epoch 46, training loss 0.099:  20%|█▉        | 36/182 [00:47<03:13,  1.33s/it]
Epoch 46, training loss 0.099:  20%|██        | 37/182 [00:48<03:09,  1.30s/it]
Epoch 46, training loss 0.098:  20%|██        | 37/182 [00:49<03:12,  1.32s/it]
Epoch 46, training loss 0.098:  21%|██        | 38/182 [00:49<03:07,  1.30s/it]
Epoch 46, training loss 0.096:  21%|██        | 38/182 [00:50<03:09,  1.32s/it]
Epoch 46, training loss 0.096:  21%|██▏       | 39/182 [00:50<03:05,  1.30s/it]
Epoch 46, training loss 0.100:  21%|██▏       | 39/182 [00:51<03:07,  1.31s/it]
Epoch 46, training loss 0.100:  22%|██▏       | 40/182 [00:51<03:03,  1.29s/it]
Epoch 46, training loss 0.099:  22%|██▏       | 40/182 [00:52<03:05,  1.31s/it]
Epoch 46, training loss 0.099:  23%|██▎       | 41/182 [00:52<03:01,  1.29s/it]
Epoch 46, training loss 0.103:  23%|██▎       | 41/182 [00:53<03:04,  1.31s/it]
Epoch 46, training loss 0.103:  23%|██▎       | 42/182 [00:54<03:00,  1.29s/it]
Epoch 46, training loss 0.105:  23%|██▎       | 42/182 [00:54<03:02,  1.31s/it]
Epoch 46, training loss 0.105:  24%|██▎       | 43/182 [00:55<02:59,  1.29s/it]
Epoch 46, training loss 0.105:  24%|██▎       | 43/182 [00:56<03:01,  1.31s/it]
Epoch 46, training loss 0.105:  24%|██▍       | 44/182 [00:56<02:57,  1.29s/it]
Epoch 46, training loss 0.103:  24%|██▍       | 44/182 [00:57<02:59,  1.30s/it]
Epoch 46, training loss 0.103:  25%|██▍       | 45/182 [00:57<02:55,  1.28s/it]
Epoch 46, training loss 0.104:  25%|██▍       | 45/182 [00:58<02:57,  1.30s/it]
Epoch 46, training loss 0.104:  25%|██▌       | 46/182 [00:58<02:54,  1.28s/it]
Epoch 46, training loss 0.103:  25%|██▌       | 46/182 [00:59<02:56,  1.30s/it]
Epoch 46, training loss 0.103:  26%|██▌       | 47/182 [01:00<02:52,  1.28s/it]
Epoch 46, training loss 0.104:  26%|██▌       | 47/182 [01:00<02:54,  1.30s/it]
Epoch 46, training loss 0.104:  26%|██▋       | 48/182 [01:01<02:51,  1.28s/it]
Epoch 46, training loss 0.105:  26%|██▋       | 48/182 [01:02<02:53,  1.29s/it]
Epoch 46, training loss 0.105:  27%|██▋       | 49/182 [01:02<02:49,  1.28s/it]
Epoch 46, training loss 0.108:  27%|██▋       | 49/182 [01:03<02:51,  1.29s/it]
Epoch 46, training loss 0.108:  27%|██▋       | 50/182 [01:03<02:48,  1.28s/it]
Epoch 46, training loss 0.107:  27%|██▋       | 50/182 [01:04<02:50,  1.29s/it]
Epoch 46, training loss 0.107:  28%|██▊       | 51/182 [01:04<02:46,  1.27s/it]
Epoch 46, training loss 0.106:  28%|██▊       | 51/182 [01:05<02:48,  1.29s/it]
Epoch 46, training loss 0.106:  29%|██▊       | 52/182 [01:06<02:45,  1.27s/it]
Epoch 46, training loss 0.109:  29%|██▊       | 52/182 [01:06<02:47,  1.29s/it]
Epoch 46, training loss 0.109:  29%|██▉       | 53/182 [01:07<02:43,  1.27s/it]
Epoch 46, training loss 0.111:  29%|██▉       | 53/182 [01:07<02:45,  1.28s/it]
Epoch 46, training loss 0.111:  30%|██▉       | 54/182 [01:08<02:42,  1.27s/it]
Epoch 46, training loss 0.111:  30%|██▉       | 54/182 [01:09<02:44,  1.28s/it]
Epoch 46, training loss 0.111:  30%|███       | 55/182 [01:09<02:41,  1.27s/it]
Epoch 46, training loss 0.109:  30%|███       | 55/182 [01:10<02:42,  1.28s/it]
Epoch 46, training loss 0.109:  31%|███       | 56/182 [01:11<02:39,  1.27s/it]
Epoch 46, training loss 0.111:  31%|███       | 56/182 [01:11<02:41,  1.28s/it]
Epoch 46, training loss 0.111:  31%|███▏      | 57/182 [01:12<02:38,  1.27s/it]
Epoch 46, training loss 0.112:  31%|███▏      | 57/182 [01:12<02:40,  1.28s/it]
Epoch 46, training loss 0.112:  32%|███▏      | 58/182 [01:13<02:37,  1.27s/it]
Epoch 46, training loss 0.111:  32%|███▏      | 58/182 [01:14<02:38,  1.28s/it]
Epoch 46, training loss 0.111:  32%|███▏      | 59/182 [01:14<02:35,  1.26s/it]
Epoch 46, training loss 0.112:  32%|███▏      | 59/182 [01:15<02:36,  1.28s/it]
Epoch 46, training loss 0.112:  33%|███▎      | 60/182 [01:15<02:33,  1.26s/it]
Epoch 46, training loss 0.112:  33%|███▎      | 60/182 [01:16<02:35,  1.27s/it]
Epoch 46, training loss 0.112:  34%|███▎      | 61/182 [01:16<02:32,  1.26s/it]
Epoch 46, training loss 0.112:  34%|███▎      | 61/182 [01:17<02:34,  1.27s/it]
Epoch 46, training loss 0.112:  34%|███▍      | 62/182 [01:18<02:31,  1.26s/it]
Epoch 46, training loss 0.111:  34%|███▍      | 62/182 [01:18<02:32,  1.27s/it]
Epoch 46, training loss 0.111:  35%|███▍      | 63/182 [01:19<02:29,  1.26s/it]
Epoch 46, training loss 0.111:  35%|███▍      | 63/182 [01:19<02:31,  1.27s/it]
Epoch 46, training loss 0.111:  35%|███▌      | 64/182 [01:20<02:28,  1.26s/it]
Epoch 46, training loss 0.110:  35%|███▌      | 64/182 [01:21<02:29,  1.27s/it]
Epoch 46, training loss 0.110:  36%|███▌      | 65/182 [01:21<02:27,  1.26s/it]
Epoch 46, training loss 0.111:  36%|███▌      | 65/182 [01:22<02:28,  1.27s/it]
Epoch 46, training loss 0.111:  36%|███▋      | 66/182 [01:22<02:25,  1.26s/it]
Epoch 46, training loss 0.111:  36%|███▋      | 66/182 [01:23<02:27,  1.27s/it]
Epoch 46, training loss 0.111:  37%|███▋      | 67/182 [01:24<02:24,  1.26s/it]
Epoch 46, training loss 0.109:  37%|███▋      | 67/182 [01:24<02:25,  1.27s/it]
Epoch 46, training loss 0.109:  37%|███▋      | 68/182 [01:25<02:22,  1.25s/it]
Epoch 46, training loss 0.108:  37%|███▋      | 68/182 [01:25<02:24,  1.26s/it]
Epoch 46, training loss 0.108:  38%|███▊      | 69/182 [01:26<02:21,  1.25s/it]
Epoch 46, training loss 0.107:  38%|███▊      | 69/182 [01:27<02:22,  1.26s/it]
Epoch 46, training loss 0.107:  38%|███▊      | 70/182 [01:27<02:20,  1.25s/it]
Epoch 46, training loss 0.107:  38%|███▊      | 70/182 [01:28<02:21,  1.26s/it]
Epoch 46, training loss 0.107:  39%|███▉      | 71/182 [01:28<02:18,  1.25s/it]
Epoch 46, training loss 0.106:  39%|███▉      | 71/182 [01:29<02:19,  1.26s/it]
Epoch 46, training loss 0.106:  40%|███▉      | 72/182 [01:29<02:17,  1.25s/it]
Epoch 46, training loss 0.107:  40%|███▉      | 72/182 [01:30<02:18,  1.26s/it]
Epoch 46, training loss 0.107:  40%|████      | 73/182 [01:31<02:15,  1.25s/it]
Epoch 46, training loss 0.107:  40%|████      | 73/182 [01:31<02:16,  1.26s/it]
Epoch 46, training loss 0.107:  41%|████      | 74/182 [01:32<02:14,  1.25s/it]
Epoch 46, training loss 0.107:  41%|████      | 74/182 [01:32<02:15,  1.25s/it]
Epoch 46, training loss 0.107:  41%|████      | 75/182 [01:33<02:13,  1.24s/it]
Epoch 46, training loss 0.107:  41%|████      | 75/182 [01:33<02:13,  1.25s/it]
Epoch 46, training loss 0.107:  42%|████▏     | 76/182 [01:34<02:11,  1.24s/it]
Epoch 46, training loss 0.106:  42%|████▏     | 76/182 [01:35<02:12,  1.25s/it]
Epoch 46, training loss 0.106:  42%|████▏     | 77/182 [01:35<02:10,  1.24s/it]
Epoch 46, training loss 0.105:  42%|████▏     | 77/182 [01:36<02:11,  1.25s/it]
Epoch 46, training loss 0.105:  43%|████▎     | 78/182 [01:36<02:08,  1.24s/it]
Epoch 46, training loss 0.104:  43%|████▎     | 78/182 [01:37<02:09,  1.25s/it]
Epoch 46, training loss 0.104:  43%|████▎     | 79/182 [01:37<02:07,  1.24s/it]
Epoch 46, training loss 0.103:  43%|████▎     | 79/182 [01:38<02:08,  1.25s/it]
Epoch 46, training loss 0.103:  44%|████▍     | 80/182 [01:39<02:06,  1.24s/it]
Epoch 46, training loss 0.104:  44%|████▍     | 80/182 [01:39<02:07,  1.25s/it]
Epoch 46, training loss 0.104:  45%|████▍     | 81/182 [01:40<02:04,  1.24s/it]
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Epoch 46, training loss 0.103:  46%|████▌     | 83/182 [01:42<02:02,  1.24s/it]
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Epoch 46, training loss 0.104:  46%|████▌     | 84/182 [01:43<02:01,  1.24s/it]
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Epoch 46, training loss 0.103:  47%|████▋     | 85/182 [01:44<01:59,  1.23s/it]
Epoch 46, training loss 0.103:  47%|████▋     | 85/182 [01:45<02:00,  1.24s/it]
Epoch 46, training loss 0.103:  47%|████▋     | 86/182 [01:46<01:58,  1.23s/it]
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Epoch 46, training loss 0.103:  48%|████▊     | 87/182 [01:47<01:57,  1.23s/it]
Epoch 46, training loss 0.102:  48%|████▊     | 87/182 [01:47<01:57,  1.24s/it]
Epoch 46, training loss 0.102:  48%|████▊     | 88/182 [01:48<01:55,  1.23s/it]
Epoch 46, training loss 0.103:  48%|████▊     | 88/182 [01:48<01:56,  1.24s/it]
Epoch 46, training loss 0.103:  49%|████▉     | 89/182 [01:49<01:54,  1.23s/it]
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Epoch 46, training loss 0.101:  51%|█████     | 92/182 [01:53<01:50,  1.23s/it]
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Epoch 46, training loss 0.104:  52%|█████▏    | 94/182 [01:56<01:48,  1.24s/it]
Epoch 46, training loss 0.104:  52%|█████▏    | 95/182 [01:56<01:46,  1.23s/it]
Epoch 46, training loss 0.104:  52%|█████▏    | 95/182 [01:57<01:47,  1.23s/it]
Epoch 46, training loss 0.104:  53%|█████▎    | 96/182 [01:57<01:45,  1.23s/it]
Epoch 46, training loss 0.105:  53%|█████▎    | 96/182 [01:58<01:46,  1.23s/it]
Epoch 46, training loss 0.105:  53%|█████▎    | 97/182 [01:58<01:44,  1.23s/it]
Epoch 46, training loss 0.105:  53%|█████▎    | 97/182 [01:59<01:44,  1.23s/it]
Epoch 46, training loss 0.105:  54%|█████▍    | 98/182 [02:00<01:42,  1.23s/it]
Epoch 46, training loss 0.105:  54%|█████▍    | 98/182 [02:00<01:43,  1.23s/it]
Epoch 46, training loss 0.105:  54%|█████▍    | 99/182 [02:01<01:41,  1.23s/it]
Epoch 46, training loss 0.104:  54%|█████▍    | 99/182 [02:01<01:42,  1.23s/it]
Epoch 46, training loss 0.104:  55%|█████▍    | 100/182 [02:02<01:40,  1.22s/it]
Epoch 46, training loss 0.104:  55%|█████▍    | 100/182 [02:03<01:40,  1.23s/it]
Epoch 46, training loss 0.104:  55%|█████▌    | 101/182 [02:03<01:39,  1.22s/it]
Epoch 46, training loss 0.104:  55%|█████▌    | 101/182 [02:04<01:39,  1.23s/it]
Epoch 46, training loss 0.104:  56%|█████▌    | 102/182 [02:04<01:37,  1.22s/it]
Epoch 46, training loss 0.103:  56%|█████▌    | 102/182 [02:05<01:38,  1.23s/it]
Epoch 46, training loss 0.103:  57%|█████▋    | 103/182 [02:05<01:36,  1.22s/it]
Epoch 46, training loss 0.104:  57%|█████▋    | 103/182 [02:06<01:37,  1.23s/it]
Epoch 46, training loss 0.104:  57%|█████▋    | 104/182 [02:07<01:35,  1.22s/it]
Epoch 46, training loss 0.104:  57%|█████▋    | 104/182 [02:07<01:35,  1.23s/it]
Epoch 46, training loss 0.104:  58%|█████▊    | 105/182 [02:08<01:34,  1.22s/it]
Epoch 46, training loss 0.104:  58%|█████▊    | 105/182 [02:08<01:34,  1.23s/it]
Epoch 46, training loss 0.104:  58%|█████▊    | 106/182 [02:09<01:32,  1.22s/it]
Epoch 46, training loss 0.105:  58%|█████▊    | 106/182 [02:10<01:33,  1.23s/it]
Epoch 46, training loss 0.105:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 46, training loss 0.104:  59%|█████▉    | 107/182 [02:11<01:32,  1.23s/it]
Epoch 46, training loss 0.104:  59%|█████▉    | 108/182 [02:11<01:30,  1.22s/it]
Epoch 46, training loss 0.104:  59%|█████▉    | 108/182 [02:12<01:30,  1.23s/it]
Epoch 46, training loss 0.104:  60%|█████▉    | 109/182 [02:12<01:29,  1.22s/it]
Epoch 46, training loss 0.106:  60%|█████▉    | 109/182 [02:13<01:29,  1.23s/it]
Epoch 46, training loss 0.106:  60%|██████    | 110/182 [02:14<01:27,  1.22s/it]
Epoch 46, training loss 0.106:  60%|██████    | 110/182 [02:14<01:28,  1.22s/it]
Epoch 46, training loss 0.106:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 46, training loss 0.105:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 46, training loss 0.105:  62%|██████▏   | 112/182 [02:16<01:25,  1.22s/it]
Epoch 46, training loss 0.105:  62%|██████▏   | 112/182 [02:16<01:25,  1.22s/it]
Epoch 46, training loss 0.105:  62%|██████▏   | 113/182 [02:17<01:23,  1.22s/it]
Epoch 46, training loss 0.104:  62%|██████▏   | 113/182 [02:18<01:24,  1.22s/it]
Epoch 46, training loss 0.104:  63%|██████▎   | 114/182 [02:18<01:22,  1.22s/it]
Epoch 46, training loss 0.104:  63%|██████▎   | 114/182 [02:19<01:23,  1.22s/it]
Epoch 46, training loss 0.104:  63%|██████▎   | 115/182 [02:19<01:21,  1.22s/it]
Epoch 46, training loss 0.104:  63%|██████▎   | 115/182 [02:20<01:21,  1.22s/it]
Epoch 46, training loss 0.104:  64%|██████▎   | 116/182 [02:20<01:20,  1.22s/it]
Epoch 46, training loss 0.104:  64%|██████▎   | 116/182 [02:21<01:20,  1.22s/it]
Epoch 46, training loss 0.104:  64%|██████▍   | 117/182 [02:22<01:18,  1.21s/it]
Epoch 46, training loss 0.104:  64%|██████▍   | 117/182 [02:22<01:19,  1.22s/it]
Epoch 46, training loss 0.104:  65%|██████▍   | 118/182 [02:23<01:17,  1.21s/it]
Epoch 46, training loss 0.105:  65%|██████▍   | 118/182 [02:23<01:18,  1.22s/it]
Epoch 46, training loss 0.105:  65%|██████▌   | 119/182 [02:24<01:16,  1.21s/it]
Epoch 46, training loss 0.105:  65%|██████▌   | 119/182 [02:24<01:16,  1.22s/it]
Epoch 46, training loss 0.105:  66%|██████▌   | 120/182 [02:25<01:15,  1.21s/it]
Epoch 46, training loss 0.105:  66%|██████▌   | 120/182 [02:26<01:15,  1.22s/it]
Epoch 46, training loss 0.105:  66%|██████▋   | 121/182 [02:26<01:13,  1.21s/it]
Epoch 46, training loss 0.105:  66%|██████▋   | 121/182 [02:27<01:14,  1.22s/it]
Epoch 46, training loss 0.105:  67%|██████▋   | 122/182 [02:27<01:12,  1.21s/it]
Epoch 46, training loss 0.106:  67%|██████▋   | 122/182 [02:28<01:13,  1.22s/it]
Epoch 46, training loss 0.106:  68%|██████▊   | 123/182 [02:29<01:11,  1.21s/it]
Epoch 46, training loss 0.106:  68%|██████▊   | 123/182 [02:29<01:11,  1.22s/it]
Epoch 46, training loss 0.106:  68%|██████▊   | 124/182 [02:30<01:10,  1.21s/it]
Epoch 46, training loss 0.106:  68%|██████▊   | 124/182 [02:31<01:10,  1.22s/it]
Epoch 46, training loss 0.106:  69%|██████▊   | 125/182 [02:31<01:09,  1.21s/it]
Epoch 46, training loss 0.106:  69%|██████▊   | 125/182 [02:32<01:09,  1.22s/it]
Epoch 46, training loss 0.106:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 46, training loss 0.105:  69%|██████▉   | 126/182 [02:33<01:08,  1.22s/it]
Epoch 46, training loss 0.105:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 46, training loss 0.106:  70%|██████▉   | 127/182 [02:34<01:06,  1.22s/it]
Epoch 46, training loss 0.106:  70%|███████   | 128/182 [02:34<01:05,  1.21s/it]
Epoch 46, training loss 0.106:  70%|███████   | 128/182 [02:35<01:05,  1.22s/it]
Epoch 46, training loss 0.106:  71%|███████   | 129/182 [02:36<01:04,  1.21s/it]
Epoch 46, training loss 0.106:  71%|███████   | 129/182 [02:36<01:04,  1.22s/it]
Epoch 46, training loss 0.106:  71%|███████▏  | 130/182 [02:37<01:02,  1.21s/it]
Epoch 46, training loss 0.105:  71%|███████▏  | 130/182 [02:37<01:03,  1.21s/it]
Epoch 46, training loss 0.105:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 46, training loss 0.106:  72%|███████▏  | 131/182 [02:39<01:01,  1.21s/it]
Epoch 46, training loss 0.106:  73%|███████▎  | 132/182 [02:39<01:00,  1.21s/it]
Epoch 46, training loss 0.106:  73%|███████▎  | 132/182 [02:40<01:00,  1.21s/it]
Epoch 46, training loss 0.106:  73%|███████▎  | 133/182 [02:40<00:59,  1.21s/it]
Epoch 46, training loss 0.107:  73%|███████▎  | 133/182 [02:41<00:59,  1.21s/it]
Epoch 46, training loss 0.107:  74%|███████▎  | 134/182 [02:41<00:58,  1.21s/it]
Epoch 46, training loss 0.106:  74%|███████▎  | 134/182 [02:42<00:58,  1.21s/it]
Epoch 46, training loss 0.106:  74%|███████▍  | 135/182 [02:43<00:56,  1.21s/it]
Epoch 46, training loss 0.106:  74%|███████▍  | 135/182 [02:43<00:57,  1.21s/it]
Epoch 46, training loss 0.106:  75%|███████▍  | 136/182 [02:44<00:55,  1.21s/it]
Epoch 46, training loss 0.106:  75%|███████▍  | 136/182 [02:45<00:55,  1.21s/it]
Epoch 46, training loss 0.106:  75%|███████▌  | 137/182 [02:45<00:54,  1.21s/it]
Epoch 46, training loss 0.106:  75%|███████▌  | 137/182 [02:46<00:54,  1.21s/it]
Epoch 46, training loss 0.106:  76%|███████▌  | 138/182 [02:46<00:53,  1.21s/it]
Epoch 46, training loss 0.105:  76%|███████▌  | 138/182 [02:47<00:53,  1.21s/it]
Epoch 46, training loss 0.105:  76%|███████▋  | 139/182 [02:47<00:51,  1.21s/it]
Epoch 46, training loss 0.105:  76%|███████▋  | 139/182 [02:48<00:52,  1.21s/it]
Epoch 46, training loss 0.105:  77%|███████▋  | 140/182 [02:49<00:50,  1.21s/it]
Epoch 46, training loss 0.105:  77%|███████▋  | 140/182 [02:49<00:50,  1.21s/it]
Epoch 46, training loss 0.105:  77%|███████▋  | 141/182 [02:50<00:49,  1.21s/it]
Epoch 46, training loss 0.106:  77%|███████▋  | 141/182 [02:50<00:49,  1.21s/it]
Epoch 46, training loss 0.106:  78%|███████▊  | 142/182 [02:51<00:48,  1.21s/it]
Epoch 46, training loss 0.106:  78%|███████▊  | 142/182 [02:51<00:48,  1.21s/it]
Epoch 46, training loss 0.106:  79%|███████▊  | 143/182 [02:52<00:47,  1.21s/it]
Epoch 46, training loss 0.106:  79%|███████▊  | 143/182 [02:53<00:47,  1.21s/it]
Epoch 46, training loss 0.106:  79%|███████▉  | 144/182 [02:53<00:45,  1.21s/it]
Epoch 46, training loss 0.106:  79%|███████▉  | 144/182 [02:54<00:46,  1.21s/it]
Epoch 46, training loss 0.106:  80%|███████▉  | 145/182 [02:54<00:44,  1.21s/it]
Epoch 46, training loss 0.105:  80%|███████▉  | 145/182 [02:55<00:44,  1.21s/it]
Epoch 46, training loss 0.105:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 46, training loss 0.108:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 46, training loss 0.108:  81%|████████  | 147/182 [02:57<00:42,  1.20s/it]
Epoch 46, training loss 0.108:  81%|████████  | 147/182 [02:57<00:42,  1.21s/it]
Epoch 46, training loss 0.108:  81%|████████▏ | 148/182 [02:58<00:40,  1.20s/it]
Epoch 46, training loss 0.113:  81%|████████▏ | 148/182 [02:58<00:41,  1.21s/it]
Epoch 46, training loss 0.113:  82%|████████▏ | 149/182 [02:59<00:39,  1.20s/it]
Epoch 46, training loss 0.113:  82%|████████▏ | 149/182 [03:00<00:39,  1.21s/it]
Epoch 46, training loss 0.113:  82%|████████▏ | 150/182 [03:00<00:38,  1.20s/it]
Epoch 46, training loss 0.113:  82%|████████▏ | 150/182 [03:01<00:38,  1.21s/it]
Epoch 46, training loss 0.113:  83%|████████▎ | 151/182 [03:01<00:37,  1.20s/it]
Epoch 46, training loss 0.113:  83%|████████▎ | 151/182 [03:02<00:37,  1.21s/it]
Epoch 46, training loss 0.113:  84%|████████▎ | 152/182 [03:02<00:36,  1.20s/it]
Epoch 46, training loss 0.112:  84%|████████▎ | 152/182 [03:03<00:36,  1.21s/it]
Epoch 46, training loss 0.112:  84%|████████▍ | 153/182 [03:04<00:34,  1.20s/it]
Epoch 46, training loss 0.113:  84%|████████▍ | 153/182 [03:04<00:35,  1.21s/it]
Epoch 46, training loss 0.113:  85%|████████▍ | 154/182 [03:05<00:33,  1.20s/it]
Epoch 46, training loss 0.113:  85%|████████▍ | 154/182 [03:05<00:33,  1.21s/it]
Epoch 46, training loss 0.113:  85%|████████▌ | 155/182 [03:06<00:32,  1.20s/it]
Epoch 46, training loss 0.112:  85%|████████▌ | 155/182 [03:07<00:32,  1.21s/it]
Epoch 46, training loss 0.112:  86%|████████▌ | 156/182 [03:07<00:31,  1.20s/it]
Epoch 46, training loss 0.112:  86%|████████▌ | 156/182 [03:08<00:31,  1.21s/it]
Epoch 46, training loss 0.112:  86%|████████▋ | 157/182 [03:08<00:30,  1.20s/it]
Epoch 46, training loss 0.112:  86%|████████▋ | 157/182 [03:09<00:30,  1.21s/it]
Epoch 46, training loss 0.112:  87%|████████▋ | 158/182 [03:09<00:28,  1.20s/it]
Epoch 46, training loss 0.112:  87%|████████▋ | 158/182 [03:10<00:28,  1.21s/it]
Epoch 46, training loss 0.112:  87%|████████▋ | 159/182 [03:10<00:27,  1.20s/it]
Epoch 46, training loss 0.111:  87%|████████▋ | 159/182 [03:11<00:27,  1.21s/it]
Epoch 46, training loss 0.111:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 46, training loss 0.112:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 46, training loss 0.112:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 46, training loss 0.114:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 46, training loss 0.114:  89%|████████▉ | 162/182 [03:14<00:23,  1.20s/it]
Epoch 46, training loss 0.113:  89%|████████▉ | 162/182 [03:15<00:24,  1.20s/it]
Epoch 46, training loss 0.113:  90%|████████▉ | 163/182 [03:15<00:22,  1.20s/it]
Epoch 46, training loss 0.113:  90%|████████▉ | 163/182 [03:16<00:22,  1.20s/it]
Epoch 46, training loss 0.113:  90%|█████████ | 164/182 [03:16<00:21,  1.20s/it]
Epoch 46, training loss 0.112:  90%|█████████ | 164/182 [03:17<00:21,  1.20s/it]
Epoch 46, training loss 0.112:  91%|█████████ | 165/182 [03:17<00:20,  1.20s/it]
Epoch 46, training loss 0.112:  91%|█████████ | 165/182 [03:18<00:20,  1.20s/it]
Epoch 46, training loss 0.112:  91%|█████████ | 166/182 [03:18<00:19,  1.20s/it]
Epoch 46, training loss 0.112:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 46, training loss 0.112:  92%|█████████▏| 167/182 [03:20<00:17,  1.20s/it]
Epoch 46, training loss 0.111:  92%|█████████▏| 167/182 [03:20<00:18,  1.20s/it]
Epoch 46, training loss 0.111:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 46, training loss 0.111:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 46, training loss 0.111:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 46, training loss 0.111:  93%|█████████▎| 169/182 [03:23<00:15,  1.20s/it]
Epoch 46, training loss 0.111:  93%|█████████▎| 170/182 [03:23<00:14,  1.20s/it]
Epoch 46, training loss 0.111:  93%|█████████▎| 170/182 [03:24<00:14,  1.20s/it]
Epoch 46, training loss 0.111:  94%|█████████▍| 171/182 [03:24<00:13,  1.20s/it]
Epoch 46, training loss 0.112:  94%|█████████▍| 171/182 [03:25<00:13,  1.20s/it]
Epoch 46, training loss 0.112:  95%|█████████▍| 172/182 [03:25<00:11,  1.20s/it]
Epoch 46, training loss 0.112:  95%|█████████▍| 172/182 [03:26<00:11,  1.20s/it]
Epoch 46, training loss 0.112:  95%|█████████▌| 173/182 [03:26<00:10,  1.20s/it]
Epoch 46, training loss 0.112:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 46, training loss 0.112:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 46, training loss 0.112:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 46, training loss 0.112:  96%|█████████▌| 175/182 [03:29<00:08,  1.20s/it]
Epoch 46, training loss 0.112:  96%|█████████▌| 175/182 [03:29<00:08,  1.20s/it]
Epoch 46, training loss 0.112:  97%|█████████▋| 176/182 [03:30<00:07,  1.20s/it]
Epoch 46, training loss 0.111:  97%|█████████▋| 176/182 [03:31<00:07,  1.20s/it]
Epoch 46, training loss 0.111:  97%|█████████▋| 177/182 [03:31<00:05,  1.20s/it]
Epoch 46, training loss 0.111:  97%|█████████▋| 177/182 [03:32<00:05,  1.20s/it]
Epoch 46, training loss 0.111:  98%|█████████▊| 178/182 [03:32<00:04,  1.20s/it]
Epoch 46, training loss 0.111:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 46, training loss 0.111:  98%|█████████▊| 179/182 [03:33<00:03,  1.20s/it]
Epoch 46, training loss 0.111:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 46, training loss 0.111:  99%|█████████▉| 180/182 [03:34<00:02,  1.19s/it]
Epoch 46, training loss 0.111:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 46, training loss 0.111:  99%|█████████▉| 181/182 [03:36<00:01,  1.19s/it]
Epoch 46, training loss 0.111:  99%|█████████▉| 181/182 [03:36<00:01,  1.20s/it]
Epoch 46, training loss 0.111: 100%|██████████| 182/182 [03:37<00:00,  1.19s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.661:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.661:   1%|          | 1/91 [00:04<06:57,  4.64s/it]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.826:   1%|          | 1/91 [00:05<07:39,  5.10s/it]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.826:   2%|▏         | 2/91 [00:05<03:47,  2.55s/it]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.851:   2%|▏         | 2/91 [00:05<04:07,  2.78s/it]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.851:   3%|▎         | 3/91 [00:05<02:42,  1.85s/it]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.851:   3%|▎         | 3/91 [00:06<02:56,  2.00s/it]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.851:   4%|▍         | 4/91 [00:06<02:10,  1.50s/it]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.897:   4%|▍         | 4/91 [00:06<02:19,  1.61s/it]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.897:   5%|▌         | 5/91 [00:06<01:50,  1.29s/it]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.905:   5%|▌         | 5/91 [00:06<01:58,  1.38s/it]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.905:   7%|▋         | 6/91 [00:06<01:37,  1.15s/it]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.904:   7%|▋         | 6/91 [00:07<01:43,  1.22s/it]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.904:   8%|▊         | 7/91 [00:07<01:27,  1.05s/it]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.901:   8%|▊         | 7/91 [00:07<01:33,  1.11s/it]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.901:   9%|▉         | 8/91 [00:07<01:20,  1.03it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.906:   9%|▉         | 8/91 [00:08<01:24,  1.02s/it]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.906:  10%|▉         | 9/91 [00:08<01:14,  1.10it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.906:  10%|▉         | 9/91 [00:08<01:18,  1.04it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.906:  11%|█         | 10/91 [00:08<01:10,  1.16it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.905:  11%|█         | 10/91 [00:09<01:13,  1.11it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.905:  12%|█▏        | 11/91 [00:09<01:05,  1.22it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.905:  12%|█▏        | 11/91 [00:09<01:08,  1.16it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.905:  13%|█▎        | 12/91 [00:09<01:02,  1.27it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.904:  13%|█▎        | 12/91 [00:09<01:05,  1.21it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.904:  14%|█▍        | 13/91 [00:09<00:59,  1.31it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.910:  14%|█▍        | 13/91 [00:10<01:02,  1.26it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.910:  15%|█▌        | 14/91 [00:10<00:56,  1.35it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.911:  15%|█▌        | 14/91 [00:10<00:59,  1.30it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.911:  16%|█▋        | 15/91 [00:10<00:54,  1.39it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.913:  16%|█▋        | 15/91 [00:11<00:57,  1.33it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.913:  18%|█▊        | 16/91 [00:11<00:52,  1.42it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.915:  18%|█▊        | 16/91 [00:11<00:55,  1.36it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.915:  19%|█▊        | 17/91 [00:11<00:51,  1.44it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.914:  19%|█▊        | 17/91 [00:12<00:53,  1.39it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.914:  20%|█▉        | 18/91 [00:12<00:49,  1.47it/s]
Epoch 46, validation pixAcc: 0.978, mIoU: 0.910:  20%|█▉        | 18/91 [00:12<00:51,  1.42it/s]
Epoch 46, validation pixAcc: 0.978, mIoU: 0.910:  21%|██        | 19/91 [00:12<00:48,  1.50it/s]
Epoch 46, validation pixAcc: 0.978, mIoU: 0.907:  21%|██        | 19/91 [00:13<00:49,  1.44it/s]
Epoch 46, validation pixAcc: 0.978, mIoU: 0.907:  22%|██▏       | 20/91 [00:13<00:46,  1.52it/s]
Epoch 46, validation pixAcc: 0.978, mIoU: 0.907:  22%|██▏       | 20/91 [00:13<00:48,  1.47it/s]
Epoch 46, validation pixAcc: 0.978, mIoU: 0.907:  23%|██▎       | 21/91 [00:13<00:45,  1.54it/s]
Epoch 46, validation pixAcc: 0.978, mIoU: 0.907:  23%|██▎       | 21/91 [00:14<00:46,  1.49it/s]
Epoch 46, validation pixAcc: 0.978, mIoU: 0.907:  24%|██▍       | 22/91 [00:14<00:44,  1.56it/s]
Epoch 46, validation pixAcc: 0.978, mIoU: 0.907:  24%|██▍       | 22/91 [00:14<00:45,  1.52it/s]
Epoch 46, validation pixAcc: 0.978, mIoU: 0.907:  25%|██▌       | 23/91 [00:14<00:42,  1.59it/s]
Epoch 46, validation pixAcc: 0.978, mIoU: 0.909:  25%|██▌       | 23/91 [00:14<00:44,  1.54it/s]
Epoch 46, validation pixAcc: 0.978, mIoU: 0.909:  26%|██▋       | 24/91 [00:14<00:41,  1.61it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.908:  26%|██▋       | 24/91 [00:15<00:43,  1.56it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.908:  27%|██▋       | 25/91 [00:15<00:40,  1.62it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.910:  27%|██▋       | 25/91 [00:15<00:41,  1.58it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.910:  29%|██▊       | 26/91 [00:15<00:39,  1.64it/s]
Epoch 46, validation pixAcc: 0.978, mIoU: 0.909:  29%|██▊       | 26/91 [00:16<00:40,  1.60it/s]
Epoch 46, validation pixAcc: 0.978, mIoU: 0.909:  30%|██▉       | 27/91 [00:16<00:38,  1.66it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.913:  30%|██▉       | 27/91 [00:16<00:39,  1.62it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.913:  31%|███       | 28/91 [00:16<00:37,  1.68it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.913:  31%|███       | 28/91 [00:17<00:38,  1.64it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.913:  32%|███▏      | 29/91 [00:17<00:36,  1.70it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.914:  32%|███▏      | 29/91 [00:17<00:37,  1.66it/s]
Epoch 46, validation pixAcc: 0.979, mIoU: 0.914:  33%|███▎      | 30/91 [00:17<00:35,  1.71it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.915:  33%|███▎      | 30/91 [00:17<00:36,  1.67it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.915:  34%|███▍      | 31/91 [00:17<00:34,  1.73it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.916:  34%|███▍      | 31/91 [00:18<00:35,  1.68it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.916:  35%|███▌      | 32/91 [00:18<00:33,  1.74it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.918:  35%|███▌      | 32/91 [00:18<00:34,  1.70it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.918:  36%|███▋      | 33/91 [00:18<00:33,  1.75it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.918:  36%|███▋      | 33/91 [00:19<00:33,  1.71it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.918:  37%|███▋      | 34/91 [00:19<00:32,  1.76it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.919:  37%|███▋      | 34/91 [00:19<00:33,  1.72it/s]
Epoch 46, validation pixAcc: 0.980, mIoU: 0.919:  38%|███▊      | 35/91 [00:19<00:31,  1.78it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.919:  38%|███▊      | 35/91 [00:20<00:32,  1.74it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.919:  40%|███▉      | 36/91 [00:20<00:30,  1.79it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.919:  40%|███▉      | 36/91 [00:20<00:31,  1.75it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.919:  41%|████      | 37/91 [00:20<00:30,  1.80it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.920:  41%|████      | 37/91 [00:21<00:30,  1.76it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.920:  42%|████▏     | 38/91 [00:21<00:29,  1.80it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.919:  42%|████▏     | 38/91 [00:21<00:29,  1.77it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.919:  43%|████▎     | 39/91 [00:21<00:28,  1.82it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.920:  43%|████▎     | 39/91 [00:21<00:29,  1.78it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.920:  44%|████▍     | 40/91 [00:21<00:27,  1.83it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.920:  44%|████▍     | 40/91 [00:22<00:28,  1.79it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.920:  45%|████▌     | 41/91 [00:22<00:27,  1.84it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.921:  45%|████▌     | 41/91 [00:22<00:27,  1.80it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.921:  46%|████▌     | 42/91 [00:22<00:26,  1.85it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.921:  46%|████▌     | 42/91 [00:23<00:27,  1.81it/s]
Epoch 46, validation pixAcc: 0.981, mIoU: 0.921:  47%|████▋     | 43/91 [00:23<00:25,  1.85it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  47%|████▋     | 43/91 [00:23<00:26,  1.82it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  48%|████▊     | 44/91 [00:23<00:25,  1.86it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  48%|████▊     | 44/91 [00:24<00:25,  1.82it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 45/91 [00:24<00:24,  1.87it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 45/91 [00:24<00:25,  1.83it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/91 [00:24<00:24,  1.87it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  51%|█████     | 46/91 [00:24<00:24,  1.84it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  52%|█████▏    | 47/91 [00:24<00:23,  1.88it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  52%|█████▏    | 47/91 [00:25<00:23,  1.85it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/91 [00:25<00:22,  1.89it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/91 [00:25<00:23,  1.86it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/91 [00:25<00:22,  1.90it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/91 [00:26<00:22,  1.87it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  55%|█████▍    | 50/91 [00:26<00:21,  1.91it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  55%|█████▍    | 50/91 [00:26<00:21,  1.88it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  56%|█████▌    | 51/91 [00:26<00:20,  1.91it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.923:  56%|█████▌    | 51/91 [00:27<00:21,  1.88it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 52/91 [00:27<00:20,  1.92it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 52/91 [00:27<00:20,  1.89it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.923:  58%|█████▊    | 53/91 [00:27<00:19,  1.92it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  58%|█████▊    | 53/91 [00:27<00:20,  1.89it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.922:  59%|█████▉    | 54/91 [00:27<00:19,  1.93it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.923:  59%|█████▉    | 54/91 [00:28<00:19,  1.90it/s]
Epoch 46, validation pixAcc: 0.982, mIoU: 0.923:  60%|██████    | 55/91 [00:28<00:18,  1.93it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.923:  60%|██████    | 55/91 [00:28<00:18,  1.90it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.923:  62%|██████▏   | 56/91 [00:28<00:18,  1.94it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.923:  62%|██████▏   | 56/91 [00:29<00:18,  1.91it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/91 [00:29<00:17,  1.94it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/91 [00:29<00:17,  1.92it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▎   | 58/91 [00:29<00:16,  1.95it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▎   | 58/91 [00:30<00:17,  1.92it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.923:  65%|██████▍   | 59/91 [00:30<00:16,  1.95it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.923:  65%|██████▍   | 59/91 [00:30<00:16,  1.92it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.923:  66%|██████▌   | 60/91 [00:30<00:15,  1.96it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.924:  66%|██████▌   | 60/91 [00:31<00:16,  1.92it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.924:  67%|██████▋   | 61/91 [00:31<00:15,  1.96it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.924:  67%|██████▋   | 61/91 [00:31<00:15,  1.93it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 62/91 [00:31<00:14,  1.96it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 62/91 [00:32<00:14,  1.94it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.924:  69%|██████▉   | 63/91 [00:32<00:14,  1.97it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.925:  69%|██████▉   | 63/91 [00:32<00:14,  1.94it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 64/91 [00:32<00:13,  1.97it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 64/91 [00:32<00:13,  1.94it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████▏  | 65/91 [00:32<00:13,  1.97it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████▏  | 65/91 [00:33<00:13,  1.95it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.925:  73%|███████▎  | 66/91 [00:33<00:12,  1.98it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.926:  73%|███████▎  | 66/91 [00:33<00:12,  1.95it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.926:  74%|███████▎  | 67/91 [00:33<00:12,  1.98it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.925:  74%|███████▎  | 67/91 [00:34<00:12,  1.96it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.925:  75%|███████▍  | 68/91 [00:34<00:11,  1.99it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.925:  75%|███████▍  | 68/91 [00:34<00:11,  1.96it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 69/91 [00:34<00:11,  1.99it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.925:  76%|███████▌  | 69/91 [00:35<00:11,  1.97it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.925:  77%|███████▋  | 70/91 [00:35<00:10,  1.99it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.926:  77%|███████▋  | 70/91 [00:35<00:10,  1.97it/s]
Epoch 46, validation pixAcc: 0.983, mIoU: 0.926:  78%|███████▊  | 71/91 [00:35<00:10,  2.00it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.926:  78%|███████▊  | 71/91 [00:35<00:10,  1.98it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.926:  79%|███████▉  | 72/91 [00:35<00:09,  2.00it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.926:  79%|███████▉  | 72/91 [00:36<00:09,  1.98it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.926:  80%|████████  | 73/91 [00:36<00:08,  2.01it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.926:  80%|████████  | 73/91 [00:36<00:09,  1.99it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.926:  81%|████████▏ | 74/91 [00:36<00:08,  2.01it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.927:  81%|████████▏ | 74/91 [00:37<00:08,  1.99it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.927:  82%|████████▏ | 75/91 [00:37<00:07,  2.02it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.927:  82%|████████▏ | 75/91 [00:37<00:08,  1.99it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.927:  84%|████████▎ | 76/91 [00:37<00:07,  2.02it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.927:  84%|████████▎ | 76/91 [00:38<00:07,  1.99it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.927:  85%|████████▍ | 77/91 [00:38<00:06,  2.02it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.927:  85%|████████▍ | 77/91 [00:38<00:07,  2.00it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.927:  86%|████████▌ | 78/91 [00:38<00:06,  2.02it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.927:  86%|████████▌ | 78/91 [00:38<00:06,  2.00it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.927:  87%|████████▋ | 79/91 [00:38<00:05,  2.03it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.928:  87%|████████▋ | 79/91 [00:39<00:05,  2.01it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.928:  88%|████████▊ | 80/91 [00:39<00:05,  2.03it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.928:  88%|████████▊ | 80/91 [00:39<00:05,  2.01it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.928:  89%|████████▉ | 81/91 [00:39<00:04,  2.03it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.928:  89%|████████▉ | 81/91 [00:40<00:04,  2.01it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.928:  90%|█████████ | 82/91 [00:40<00:04,  2.04it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.929:  90%|█████████ | 82/91 [00:40<00:04,  2.02it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.929:  91%|█████████ | 83/91 [00:40<00:03,  2.04it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.929:  91%|█████████ | 83/91 [00:41<00:03,  2.02it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.929:  92%|█████████▏| 84/91 [00:41<00:03,  2.05it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.928:  92%|█████████▏| 84/91 [00:41<00:03,  2.02it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.928:  93%|█████████▎| 85/91 [00:41<00:02,  2.05it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.929:  93%|█████████▎| 85/91 [00:41<00:02,  2.03it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.929:  95%|█████████▍| 86/91 [00:41<00:02,  2.05it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.929:  95%|█████████▍| 86/91 [00:42<00:02,  2.03it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.929:  96%|█████████▌| 87/91 [00:42<00:01,  2.06it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.928:  96%|█████████▌| 87/91 [00:42<00:01,  2.03it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 88/91 [00:42<00:01,  2.06it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.929:  97%|█████████▋| 88/91 [00:43<00:01,  2.04it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.929:  98%|█████████▊| 89/91 [00:43<00:00,  2.06it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 89/91 [00:43<00:00,  2.04it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.928:  99%|█████████▉| 90/91 [00:43<00:00,  2.06it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.928:  99%|█████████▉| 90/91 [00:44<00:00,  2.04it/s]
Epoch 46, validation pixAcc: 0.984, mIoU: 0.928: 100%|██████████| 91/91 [00:44<00:00,  2.07it/s]

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Epoch 47, training loss 0.104:   0%|          | 0/183 [00:05<?, ?it/s]
Epoch 47, training loss 0.104:   1%|          | 1/183 [00:05<17:54,  5.91s/it]
Epoch 47, training loss 0.097:   1%|          | 1/183 [00:06<20:15,  6.68s/it]
Epoch 47, training loss 0.097:   1%|          | 2/183 [00:07<10:51,  3.60s/it]
Epoch 47, training loss 0.131:   1%|          | 2/183 [00:07<11:56,  3.96s/it]
Epoch 47, training loss 0.131:   2%|▏         | 3/183 [00:08<08:25,  2.81s/it]
Epoch 47, training loss 0.124:   2%|▏         | 3/183 [00:09<09:07,  3.04s/it]
Epoch 47, training loss 0.124:   2%|▏         | 4/183 [00:09<07:11,  2.41s/it]
Epoch 47, training loss 0.124:   2%|▏         | 4/183 [00:10<07:40,  2.57s/it]
Epoch 47, training loss 0.124:   3%|▎         | 5/183 [00:10<06:24,  2.16s/it]
Epoch 47, training loss 0.182:   3%|▎         | 5/183 [00:11<06:48,  2.29s/it]
Epoch 47, training loss 0.182:   3%|▎         | 6/183 [00:11<05:53,  1.99s/it]
Epoch 47, training loss 0.169:   3%|▎         | 6/183 [00:12<06:13,  2.11s/it]
Epoch 47, training loss 0.169:   4%|▍         | 7/183 [00:13<05:30,  1.88s/it]
Epoch 47, training loss 0.191:   4%|▍         | 7/183 [00:13<05:48,  1.98s/it]
Epoch 47, training loss 0.191:   4%|▍         | 8/183 [00:14<05:13,  1.79s/it]
Epoch 47, training loss 0.186:   4%|▍         | 8/183 [00:15<05:29,  1.88s/it]
Epoch 47, training loss 0.186:   5%|▍         | 9/183 [00:15<05:01,  1.73s/it]
Epoch 47, training loss 0.173:   5%|▍         | 9/183 [00:16<05:13,  1.80s/it]
Epoch 47, training loss 0.173:   5%|▌         | 10/183 [00:16<04:49,  1.67s/it]
Epoch 47, training loss 0.174:   5%|▌         | 10/183 [00:17<05:00,  1.74s/it]
Epoch 47, training loss 0.174:   6%|▌         | 11/183 [00:17<04:39,  1.63s/it]
Epoch 47, training loss 0.166:   6%|▌         | 11/183 [00:18<04:50,  1.69s/it]
Epoch 47, training loss 0.166:   7%|▋         | 12/183 [00:19<04:32,  1.59s/it]
Epoch 47, training loss 0.168:   7%|▋         | 12/183 [00:19<04:43,  1.66s/it]
Epoch 47, training loss 0.168:   7%|▋         | 13/183 [00:20<04:25,  1.56s/it]
Epoch 47, training loss 0.161:   7%|▋         | 13/183 [00:20<04:33,  1.61s/it]
Epoch 47, training loss 0.161:   8%|▊         | 14/183 [00:21<04:18,  1.53s/it]
Epoch 47, training loss 0.165:   8%|▊         | 14/183 [00:22<04:26,  1.58s/it]
Epoch 47, training loss 0.165:   8%|▊         | 15/183 [00:22<04:12,  1.50s/it]
Epoch 47, training loss 0.197:   8%|▊         | 15/183 [00:23<04:19,  1.54s/it]
Epoch 47, training loss 0.197:   9%|▊         | 16/183 [00:23<04:06,  1.48s/it]
Epoch 47, training loss 0.190:   9%|▊         | 16/183 [00:24<04:13,  1.52s/it]
Epoch 47, training loss 0.190:   9%|▉         | 17/183 [00:24<04:01,  1.46s/it]
Epoch 47, training loss 0.183:   9%|▉         | 17/183 [00:25<04:08,  1.49s/it]
Epoch 47, training loss 0.183:  10%|▉         | 18/183 [00:25<03:57,  1.44s/it]
Epoch 47, training loss 0.177:  10%|▉         | 18/183 [00:26<04:04,  1.48s/it]
Epoch 47, training loss 0.177:  10%|█         | 19/183 [00:27<03:54,  1.43s/it]
Epoch 47, training loss 0.173:  10%|█         | 19/183 [00:27<04:00,  1.47s/it]
Epoch 47, training loss 0.173:  11%|█         | 20/183 [00:28<03:51,  1.42s/it]
Epoch 47, training loss 0.175:  11%|█         | 20/183 [00:29<03:56,  1.45s/it]
Epoch 47, training loss 0.175:  11%|█▏        | 21/183 [00:29<03:48,  1.41s/it]
Epoch 47, training loss 0.171:  11%|█▏        | 21/183 [00:30<03:53,  1.44s/it]
Epoch 47, training loss 0.171:  12%|█▏        | 22/183 [00:30<03:44,  1.40s/it]
Epoch 47, training loss 0.169:  12%|█▏        | 22/183 [00:31<03:50,  1.43s/it]
Epoch 47, training loss 0.169:  13%|█▎        | 23/183 [00:31<03:42,  1.39s/it]
Epoch 47, training loss 0.164:  13%|█▎        | 23/183 [00:32<03:47,  1.42s/it]
Epoch 47, training loss 0.164:  13%|█▎        | 24/183 [00:33<03:39,  1.38s/it]
Epoch 47, training loss 0.165:  13%|█▎        | 24/183 [00:34<03:45,  1.42s/it]
Epoch 47, training loss 0.165:  14%|█▎        | 25/183 [00:34<03:37,  1.38s/it]
Epoch 47, training loss 0.160:  14%|█▎        | 25/183 [00:35<03:42,  1.41s/it]
Epoch 47, training loss 0.160:  14%|█▍        | 26/183 [00:35<03:35,  1.37s/it]
Epoch 47, training loss 0.155:  14%|█▍        | 26/183 [00:36<03:40,  1.40s/it]
Epoch 47, training loss 0.155:  15%|█▍        | 27/183 [00:36<03:33,  1.37s/it]
Epoch 47, training loss 0.154:  15%|█▍        | 27/183 [00:37<03:37,  1.40s/it]
Epoch 47, training loss 0.154:  15%|█▌        | 28/183 [00:38<03:31,  1.36s/it]
Epoch 47, training loss 0.151:  15%|█▌        | 28/183 [00:38<03:35,  1.39s/it]
Epoch 47, training loss 0.151:  16%|█▌        | 29/183 [00:39<03:28,  1.36s/it]
Epoch 47, training loss 0.155:  16%|█▌        | 29/183 [00:39<03:32,  1.38s/it]
Epoch 47, training loss 0.155:  16%|█▋        | 30/183 [00:40<03:26,  1.35s/it]
Epoch 47, training loss 0.153:  16%|█▋        | 30/183 [00:41<03:29,  1.37s/it]
Epoch 47, training loss 0.153:  17%|█▋        | 31/183 [00:41<03:24,  1.34s/it]
Epoch 47, training loss 0.153:  17%|█▋        | 31/183 [00:42<03:27,  1.37s/it]
Epoch 47, training loss 0.153:  17%|█▋        | 32/183 [00:42<03:22,  1.34s/it]
Epoch 47, training loss 0.152:  17%|█▋        | 32/183 [00:43<03:25,  1.36s/it]
Epoch 47, training loss 0.152:  18%|█▊        | 33/183 [00:44<03:20,  1.33s/it]
Epoch 47, training loss 0.150:  18%|█▊        | 33/183 [00:44<03:23,  1.36s/it]
Epoch 47, training loss 0.150:  19%|█▊        | 34/183 [00:45<03:18,  1.33s/it]
Epoch 47, training loss 0.149:  19%|█▊        | 34/183 [00:45<03:21,  1.35s/it]
Epoch 47, training loss 0.149:  19%|█▉        | 35/183 [00:46<03:16,  1.33s/it]
Epoch 47, training loss 0.149:  19%|█▉        | 35/183 [00:47<03:19,  1.35s/it]
Epoch 47, training loss 0.149:  20%|█▉        | 36/183 [00:47<03:14,  1.32s/it]
Epoch 47, training loss 0.146:  20%|█▉        | 36/183 [00:48<03:17,  1.34s/it]
Epoch 47, training loss 0.146:  20%|██        | 37/183 [00:48<03:12,  1.32s/it]
Epoch 47, training loss 0.145:  20%|██        | 37/183 [00:49<03:15,  1.34s/it]
Epoch 47, training loss 0.145:  21%|██        | 38/183 [00:50<03:10,  1.32s/it]
Epoch 47, training loss 0.142:  21%|██        | 38/183 [00:50<03:13,  1.34s/it]
Epoch 47, training loss 0.142:  21%|██▏       | 39/183 [00:51<03:09,  1.31s/it]
Epoch 47, training loss 0.139:  21%|██▏       | 39/183 [00:52<03:12,  1.33s/it]
Epoch 47, training loss 0.139:  22%|██▏       | 40/183 [00:52<03:07,  1.31s/it]
Epoch 47, training loss 0.136:  22%|██▏       | 40/183 [00:53<03:10,  1.33s/it]
Epoch 47, training loss 0.136:  22%|██▏       | 41/183 [00:53<03:06,  1.31s/it]
Epoch 47, training loss 0.136:  22%|██▏       | 41/183 [00:54<03:08,  1.33s/it]
Epoch 47, training loss 0.136:  23%|██▎       | 42/183 [00:54<03:04,  1.31s/it]
Epoch 47, training loss 0.134:  23%|██▎       | 42/183 [00:55<03:06,  1.32s/it]
Epoch 47, training loss 0.134:  23%|██▎       | 43/183 [00:56<03:02,  1.30s/it]
Epoch 47, training loss 0.134:  23%|██▎       | 43/183 [00:56<03:04,  1.32s/it]
Epoch 47, training loss 0.134:  24%|██▍       | 44/183 [00:57<03:01,  1.30s/it]
Epoch 47, training loss 0.132:  24%|██▍       | 44/183 [00:58<03:03,  1.32s/it]
Epoch 47, training loss 0.132:  25%|██▍       | 45/183 [00:58<02:59,  1.30s/it]
Epoch 47, training loss 0.130:  25%|██▍       | 45/183 [00:59<03:01,  1.32s/it]
Epoch 47, training loss 0.130:  25%|██▌       | 46/183 [00:59<02:58,  1.30s/it]
Epoch 47, training loss 0.128:  25%|██▌       | 46/183 [01:00<03:00,  1.31s/it]
Epoch 47, training loss 0.128:  26%|██▌       | 47/183 [01:00<02:56,  1.30s/it]
Epoch 47, training loss 0.127:  26%|██▌       | 47/183 [01:01<02:58,  1.31s/it]
Epoch 47, training loss 0.127:  26%|██▌       | 48/183 [01:02<02:54,  1.30s/it]
Epoch 47, training loss 0.125:  26%|██▌       | 48/183 [01:02<02:56,  1.31s/it]
Epoch 47, training loss 0.125:  27%|██▋       | 49/183 [01:03<02:53,  1.29s/it]
Epoch 47, training loss 0.127:  27%|██▋       | 49/183 [01:04<02:55,  1.31s/it]
Epoch 47, training loss 0.127:  27%|██▋       | 50/183 [01:04<02:51,  1.29s/it]
Epoch 47, training loss 0.126:  27%|██▋       | 50/183 [01:05<02:53,  1.30s/it]
Epoch 47, training loss 0.126:  28%|██▊       | 51/183 [01:05<02:50,  1.29s/it]
Epoch 47, training loss 0.130:  28%|██▊       | 51/183 [01:06<02:51,  1.30s/it]
Epoch 47, training loss 0.130:  28%|██▊       | 52/183 [01:06<02:48,  1.29s/it]
Epoch 47, training loss 0.128:  28%|██▊       | 52/183 [01:07<02:49,  1.30s/it]
Epoch 47, training loss 0.128:  29%|██▉       | 53/183 [01:07<02:46,  1.28s/it]
Epoch 47, training loss 0.129:  29%|██▉       | 53/183 [01:08<02:48,  1.30s/it]
Epoch 47, training loss 0.129:  30%|██▉       | 54/183 [01:09<02:45,  1.28s/it]
Epoch 47, training loss 0.127:  30%|██▉       | 54/183 [01:09<02:46,  1.29s/it]
Epoch 47, training loss 0.127:  30%|███       | 55/183 [01:10<02:43,  1.28s/it]
Epoch 47, training loss 0.126:  30%|███       | 55/183 [01:11<02:45,  1.29s/it]
Epoch 47, training loss 0.126:  31%|███       | 56/183 [01:11<02:42,  1.28s/it]
Epoch 47, training loss 0.126:  31%|███       | 56/183 [01:12<02:43,  1.29s/it]
Epoch 47, training loss 0.126:  31%|███       | 57/183 [01:12<02:40,  1.28s/it]
Epoch 47, training loss 0.129:  31%|███       | 57/183 [01:13<02:42,  1.29s/it]
Epoch 47, training loss 0.129:  32%|███▏      | 58/183 [01:14<02:39,  1.28s/it]
Epoch 47, training loss 0.128:  32%|███▏      | 58/183 [01:14<02:41,  1.29s/it]
Epoch 47, training loss 0.128:  32%|███▏      | 59/183 [01:15<02:38,  1.28s/it]
Epoch 47, training loss 0.128:  32%|███▏      | 59/183 [01:16<02:39,  1.29s/it]
Epoch 47, training loss 0.128:  33%|███▎      | 60/183 [01:16<02:36,  1.28s/it]
Epoch 47, training loss 0.127:  33%|███▎      | 60/183 [01:17<02:38,  1.29s/it]
Epoch 47, training loss 0.127:  33%|███▎      | 61/183 [01:17<02:35,  1.27s/it]
Epoch 47, training loss 0.127:  33%|███▎      | 61/183 [01:18<02:37,  1.29s/it]
Epoch 47, training loss 0.127:  34%|███▍      | 62/183 [01:19<02:34,  1.27s/it]
Epoch 47, training loss 0.126:  34%|███▍      | 62/183 [01:19<02:35,  1.29s/it]
Epoch 47, training loss 0.126:  34%|███▍      | 63/183 [01:20<02:32,  1.27s/it]
Epoch 47, training loss 0.126:  34%|███▍      | 63/183 [01:20<02:33,  1.28s/it]
Epoch 47, training loss 0.126:  35%|███▍      | 64/183 [01:21<02:31,  1.27s/it]
Epoch 47, training loss 0.124:  35%|███▍      | 64/183 [01:22<02:32,  1.28s/it]
Epoch 47, training loss 0.124:  36%|███▌      | 65/183 [01:22<02:29,  1.27s/it]
Epoch 47, training loss 0.123:  36%|███▌      | 65/183 [01:23<02:31,  1.28s/it]
Epoch 47, training loss 0.123:  36%|███▌      | 66/183 [01:23<02:28,  1.27s/it]
Epoch 47, training loss 0.121:  36%|███▌      | 66/183 [01:24<02:29,  1.28s/it]
Epoch 47, training loss 0.121:  37%|███▋      | 67/183 [01:25<02:27,  1.27s/it]
Epoch 47, training loss 0.120:  37%|███▋      | 67/183 [01:25<02:28,  1.28s/it]
Epoch 47, training loss 0.120:  37%|███▋      | 68/183 [01:26<02:25,  1.27s/it]
Epoch 47, training loss 0.123:  37%|███▋      | 68/183 [01:26<02:26,  1.28s/it]
Epoch 47, training loss 0.123:  38%|███▊      | 69/183 [01:27<02:24,  1.27s/it]
Epoch 47, training loss 0.123:  38%|███▊      | 69/183 [01:28<02:25,  1.28s/it]
Epoch 47, training loss 0.123:  38%|███▊      | 70/183 [01:28<02:22,  1.26s/it]
Epoch 47, training loss 0.121:  38%|███▊      | 70/183 [01:29<02:23,  1.27s/it]
Epoch 47, training loss 0.121:  39%|███▉      | 71/183 [01:29<02:21,  1.26s/it]
Epoch 47, training loss 0.120:  39%|███▉      | 71/183 [01:30<02:22,  1.27s/it]
Epoch 47, training loss 0.120:  39%|███▉      | 72/183 [01:30<02:20,  1.26s/it]
Epoch 47, training loss 0.119:  39%|███▉      | 72/183 [01:31<02:21,  1.27s/it]
Epoch 47, training loss 0.119:  40%|███▉      | 73/183 [01:32<02:18,  1.26s/it]
Epoch 47, training loss 0.118:  40%|███▉      | 73/183 [01:32<02:19,  1.27s/it]
Epoch 47, training loss 0.118:  40%|████      | 74/183 [01:33<02:17,  1.26s/it]
Epoch 47, training loss 0.118:  40%|████      | 74/183 [01:34<02:18,  1.27s/it]
Epoch 47, training loss 0.118:  41%|████      | 75/183 [01:34<02:16,  1.26s/it]
Epoch 47, training loss 0.117:  41%|████      | 75/183 [01:35<02:17,  1.27s/it]
Epoch 47, training loss 0.117:  42%|████▏     | 76/183 [01:35<02:14,  1.26s/it]
Epoch 47, training loss 0.118:  42%|████▏     | 76/183 [01:36<02:15,  1.27s/it]
Epoch 47, training loss 0.118:  42%|████▏     | 77/183 [01:36<02:13,  1.26s/it]
Epoch 47, training loss 0.117:  42%|████▏     | 77/183 [01:37<02:14,  1.27s/it]
Epoch 47, training loss 0.117:  43%|████▎     | 78/183 [01:38<02:11,  1.26s/it]
Epoch 47, training loss 0.116:  43%|████▎     | 78/183 [01:38<02:12,  1.26s/it]
Epoch 47, training loss 0.116:  43%|████▎     | 79/183 [01:39<02:10,  1.25s/it]
Epoch 47, training loss 0.115:  43%|████▎     | 79/183 [01:39<02:11,  1.26s/it]
Epoch 47, training loss 0.115:  44%|████▎     | 80/183 [01:40<02:09,  1.25s/it]
Epoch 47, training loss 0.115:  44%|████▎     | 80/183 [01:40<02:09,  1.26s/it]
Epoch 47, training loss 0.115:  44%|████▍     | 81/183 [01:41<02:07,  1.25s/it]
Epoch 47, training loss 0.124:  44%|████▍     | 81/183 [01:42<02:08,  1.26s/it]
Epoch 47, training loss 0.124:  45%|████▍     | 82/183 [01:42<02:06,  1.25s/it]
Epoch 47, training loss 0.124:  45%|████▍     | 82/183 [01:43<02:07,  1.26s/it]
Epoch 47, training loss 0.124:  45%|████▌     | 83/183 [01:43<02:05,  1.25s/it]
Epoch 47, training loss 0.123:  45%|████▌     | 83/183 [01:44<02:06,  1.26s/it]
Epoch 47, training loss 0.123:  46%|████▌     | 84/183 [01:45<02:03,  1.25s/it]
Epoch 47, training loss 0.122:  46%|████▌     | 84/183 [01:45<02:04,  1.26s/it]
Epoch 47, training loss 0.122:  46%|████▋     | 85/183 [01:46<02:02,  1.25s/it]
Epoch 47, training loss 0.122:  46%|████▋     | 85/183 [01:46<02:03,  1.26s/it]
Epoch 47, training loss 0.122:  47%|████▋     | 86/183 [01:47<02:01,  1.25s/it]
Epoch 47, training loss 0.122:  47%|████▋     | 86/183 [01:47<02:01,  1.26s/it]
Epoch 47, training loss 0.122:  48%|████▊     | 87/183 [01:48<01:59,  1.25s/it]
Epoch 47, training loss 0.121:  48%|████▊     | 87/183 [01:49<02:00,  1.25s/it]
Epoch 47, training loss 0.121:  48%|████▊     | 88/183 [01:49<01:58,  1.25s/it]
Epoch 47, training loss 0.120:  48%|████▊     | 88/183 [01:50<01:59,  1.25s/it]
Epoch 47, training loss 0.120:  49%|████▊     | 89/183 [01:50<01:57,  1.25s/it]
Epoch 47, training loss 0.119:  49%|████▊     | 89/183 [01:51<01:57,  1.25s/it]
Epoch 47, training loss 0.119:  49%|████▉     | 90/183 [01:52<01:55,  1.24s/it]
Epoch 47, training loss 0.123:  49%|████▉     | 90/183 [01:52<01:56,  1.25s/it]
Epoch 47, training loss 0.123:  50%|████▉     | 91/183 [01:53<01:54,  1.24s/it]
Epoch 47, training loss 0.122:  50%|████▉     | 91/183 [01:53<01:55,  1.25s/it]
Epoch 47, training loss 0.122:  50%|█████     | 92/183 [01:54<01:53,  1.24s/it]
Epoch 47, training loss 0.122:  50%|█████     | 92/183 [01:55<01:53,  1.25s/it]
Epoch 47, training loss 0.122:  51%|█████     | 93/183 [01:55<01:51,  1.24s/it]
Epoch 47, training loss 0.122:  51%|█████     | 93/183 [01:56<01:52,  1.25s/it]
Epoch 47, training loss 0.122:  51%|█████▏    | 94/183 [01:56<01:50,  1.24s/it]
Epoch 47, training loss 0.122:  51%|█████▏    | 94/183 [01:57<01:51,  1.25s/it]
Epoch 47, training loss 0.122:  52%|█████▏    | 95/183 [01:58<01:49,  1.24s/it]
Epoch 47, training loss 0.121:  52%|█████▏    | 95/183 [01:58<01:49,  1.25s/it]
Epoch 47, training loss 0.121:  52%|█████▏    | 96/183 [01:59<01:48,  1.24s/it]
Epoch 47, training loss 0.121:  52%|█████▏    | 96/183 [01:59<01:48,  1.25s/it]
Epoch 47, training loss 0.121:  53%|█████▎    | 97/183 [02:00<01:46,  1.24s/it]
Epoch 47, training loss 0.120:  53%|█████▎    | 97/183 [02:00<01:47,  1.25s/it]
Epoch 47, training loss 0.120:  54%|█████▎    | 98/183 [02:01<01:45,  1.24s/it]
Epoch 47, training loss 0.119:  54%|█████▎    | 98/183 [02:02<01:45,  1.25s/it]
Epoch 47, training loss 0.119:  54%|█████▍    | 99/183 [02:02<01:43,  1.24s/it]
Epoch 47, training loss 0.120:  54%|█████▍    | 99/183 [02:03<01:44,  1.25s/it]
Epoch 47, training loss 0.120:  55%|█████▍    | 100/183 [02:03<01:42,  1.24s/it]
Epoch 47, training loss 0.121:  55%|█████▍    | 100/183 [02:04<01:43,  1.24s/it]
Epoch 47, training loss 0.121:  55%|█████▌    | 101/183 [02:04<01:41,  1.24s/it]
Epoch 47, training loss 0.120:  55%|█████▌    | 101/183 [02:05<01:41,  1.24s/it]
Epoch 47, training loss 0.120:  56%|█████▌    | 102/183 [02:06<01:40,  1.24s/it]
Epoch 47, training loss 0.120:  56%|█████▌    | 102/183 [02:06<01:40,  1.24s/it]
Epoch 47, training loss 0.120:  56%|█████▋    | 103/183 [02:07<01:38,  1.24s/it]
Epoch 47, training loss 0.120:  56%|█████▋    | 103/183 [02:07<01:39,  1.24s/it]
Epoch 47, training loss 0.120:  57%|█████▋    | 104/183 [02:08<01:37,  1.24s/it]
Epoch 47, training loss 0.120:  57%|█████▋    | 104/183 [02:09<01:38,  1.24s/it]
Epoch 47, training loss 0.120:  57%|█████▋    | 105/183 [02:09<01:36,  1.23s/it]
Epoch 47, training loss 0.119:  57%|█████▋    | 105/183 [02:10<01:36,  1.24s/it]
Epoch 47, training loss 0.119:  58%|█████▊    | 106/183 [02:10<01:35,  1.24s/it]
Epoch 47, training loss 0.121:  58%|█████▊    | 106/183 [02:11<01:35,  1.24s/it]
Epoch 47, training loss 0.121:  58%|█████▊    | 107/183 [02:12<01:33,  1.24s/it]
Epoch 47, training loss 0.121:  58%|█████▊    | 107/183 [02:12<01:34,  1.24s/it]
Epoch 47, training loss 0.121:  59%|█████▉    | 108/183 [02:13<01:32,  1.23s/it]
Epoch 47, training loss 0.120:  59%|█████▉    | 108/183 [02:14<01:33,  1.24s/it]
Epoch 47, training loss 0.120:  60%|█████▉    | 109/183 [02:14<01:31,  1.23s/it]
Epoch 47, training loss 0.121:  60%|█████▉    | 109/183 [02:15<01:31,  1.24s/it]
Epoch 47, training loss 0.121:  60%|██████    | 110/183 [02:15<01:30,  1.23s/it]
Epoch 47, training loss 0.121:  60%|██████    | 110/183 [02:16<01:30,  1.24s/it]
Epoch 47, training loss 0.121:  61%|██████    | 111/183 [02:16<01:28,  1.23s/it]
Epoch 47, training loss 0.121:  61%|██████    | 111/183 [02:17<01:29,  1.24s/it]
Epoch 47, training loss 0.121:  61%|██████    | 112/183 [02:17<01:27,  1.23s/it]
Epoch 47, training loss 0.122:  61%|██████    | 112/183 [02:18<01:27,  1.24s/it]
Epoch 47, training loss 0.122:  62%|██████▏   | 113/183 [02:19<01:26,  1.23s/it]
Epoch 47, training loss 0.121:  62%|██████▏   | 113/183 [02:19<01:26,  1.24s/it]
Epoch 47, training loss 0.121:  62%|██████▏   | 114/183 [02:20<01:24,  1.23s/it]
Epoch 47, training loss 0.122:  62%|██████▏   | 114/183 [02:20<01:25,  1.24s/it]
Epoch 47, training loss 0.122:  63%|██████▎   | 115/183 [02:21<01:23,  1.23s/it]
Epoch 47, training loss 0.123:  63%|██████▎   | 115/183 [02:22<01:24,  1.24s/it]
Epoch 47, training loss 0.123:  63%|██████▎   | 116/183 [02:22<01:22,  1.23s/it]
Epoch 47, training loss 0.123:  63%|██████▎   | 116/183 [02:23<01:22,  1.23s/it]
Epoch 47, training loss 0.123:  64%|██████▍   | 117/183 [02:23<01:21,  1.23s/it]
Epoch 47, training loss 0.122:  64%|██████▍   | 117/183 [02:24<01:21,  1.23s/it]
Epoch 47, training loss 0.122:  64%|██████▍   | 118/183 [02:24<01:19,  1.23s/it]
Epoch 47, training loss 0.122:  64%|██████▍   | 118/183 [02:25<01:20,  1.23s/it]
Epoch 47, training loss 0.122:  65%|██████▌   | 119/183 [02:25<01:18,  1.23s/it]
Epoch 47, training loss 0.122:  65%|██████▌   | 119/183 [02:26<01:18,  1.23s/it]
Epoch 47, training loss 0.122:  66%|██████▌   | 120/183 [02:27<01:17,  1.23s/it]
Epoch 47, training loss 0.122:  66%|██████▌   | 120/183 [02:27<01:17,  1.23s/it]
Epoch 47, training loss 0.122:  66%|██████▌   | 121/183 [02:28<01:15,  1.22s/it]
Epoch 47, training loss 0.122:  66%|██████▌   | 121/183 [02:28<01:16,  1.23s/it]
Epoch 47, training loss 0.122:  67%|██████▋   | 122/183 [02:29<01:14,  1.22s/it]
Epoch 47, training loss 0.121:  67%|██████▋   | 122/183 [02:30<01:15,  1.23s/it]
Epoch 47, training loss 0.121:  67%|██████▋   | 123/183 [02:30<01:13,  1.22s/it]
Epoch 47, training loss 0.120:  67%|██████▋   | 123/183 [02:31<01:13,  1.23s/it]
Epoch 47, training loss 0.120:  68%|██████▊   | 124/183 [02:31<01:12,  1.22s/it]
Epoch 47, training loss 0.120:  68%|██████▊   | 124/183 [02:32<01:12,  1.23s/it]
Epoch 47, training loss 0.120:  68%|██████▊   | 125/183 [02:32<01:10,  1.22s/it]
Epoch 47, training loss 0.120:  68%|██████▊   | 125/183 [02:33<01:11,  1.23s/it]
Epoch 47, training loss 0.120:  69%|██████▉   | 126/183 [02:34<01:09,  1.22s/it]
Epoch 47, training loss 0.120:  69%|██████▉   | 126/183 [02:34<01:09,  1.23s/it]
Epoch 47, training loss 0.120:  69%|██████▉   | 127/183 [02:35<01:08,  1.22s/it]
Epoch 47, training loss 0.120:  69%|██████▉   | 127/183 [02:35<01:08,  1.23s/it]
Epoch 47, training loss 0.120:  70%|██████▉   | 128/183 [02:36<01:07,  1.22s/it]
Epoch 47, training loss 0.120:  70%|██████▉   | 128/183 [02:37<01:07,  1.23s/it]
Epoch 47, training loss 0.120:  70%|███████   | 129/183 [02:37<01:05,  1.22s/it]
Epoch 47, training loss 0.120:  70%|███████   | 129/183 [02:38<01:06,  1.23s/it]
Epoch 47, training loss 0.120:  71%|███████   | 130/183 [02:38<01:04,  1.22s/it]
Epoch 47, training loss 0.120:  71%|███████   | 130/183 [02:39<01:04,  1.23s/it]
Epoch 47, training loss 0.120:  72%|███████▏  | 131/183 [02:39<01:03,  1.22s/it]
Epoch 47, training loss 0.120:  72%|███████▏  | 131/183 [02:40<01:03,  1.23s/it]
Epoch 47, training loss 0.120:  72%|███████▏  | 132/183 [02:41<01:02,  1.22s/it]
Epoch 47, training loss 0.121:  72%|███████▏  | 132/183 [02:41<01:02,  1.22s/it]
Epoch 47, training loss 0.121:  73%|███████▎  | 133/183 [02:42<01:00,  1.22s/it]
Epoch 47, training loss 0.122:  73%|███████▎  | 133/183 [02:42<01:01,  1.22s/it]
Epoch 47, training loss 0.122:  73%|███████▎  | 134/183 [02:43<00:59,  1.22s/it]
Epoch 47, training loss 0.121:  73%|███████▎  | 134/183 [02:43<00:59,  1.22s/it]
Epoch 47, training loss 0.121:  74%|███████▍  | 135/183 [02:44<00:58,  1.22s/it]
Epoch 47, training loss 0.121:  74%|███████▍  | 135/183 [02:45<00:58,  1.22s/it]
Epoch 47, training loss 0.121:  74%|███████▍  | 136/183 [02:45<00:57,  1.22s/it]
Epoch 47, training loss 0.122:  74%|███████▍  | 136/183 [02:46<00:57,  1.22s/it]
Epoch 47, training loss 0.122:  75%|███████▍  | 137/183 [02:46<00:55,  1.22s/it]
Epoch 47, training loss 0.121:  75%|███████▍  | 137/183 [02:47<00:56,  1.22s/it]
Epoch 47, training loss 0.121:  75%|███████▌  | 138/183 [02:47<00:54,  1.22s/it]
Epoch 47, training loss 0.121:  75%|███████▌  | 138/183 [02:48<00:54,  1.22s/it]
Epoch 47, training loss 0.121:  76%|███████▌  | 139/183 [02:49<00:53,  1.22s/it]
Epoch 47, training loss 0.122:  76%|███████▌  | 139/183 [02:49<00:53,  1.22s/it]
Epoch 47, training loss 0.122:  77%|███████▋  | 140/183 [02:50<00:52,  1.22s/it]
Epoch 47, training loss 0.122:  77%|███████▋  | 140/183 [02:50<00:52,  1.22s/it]
Epoch 47, training loss 0.122:  77%|███████▋  | 141/183 [02:51<00:51,  1.22s/it]
Epoch 47, training loss 0.121:  77%|███████▋  | 141/183 [02:51<00:51,  1.22s/it]
Epoch 47, training loss 0.121:  78%|███████▊  | 142/183 [02:52<00:49,  1.21s/it]
Epoch 47, training loss 0.121:  78%|███████▊  | 142/183 [02:53<00:50,  1.22s/it]
Epoch 47, training loss 0.121:  78%|███████▊  | 143/183 [02:53<00:48,  1.22s/it]
Epoch 47, training loss 0.122:  78%|███████▊  | 143/183 [02:54<00:48,  1.22s/it]
Epoch 47, training loss 0.122:  79%|███████▊  | 144/183 [02:54<00:47,  1.21s/it]
Epoch 47, training loss 0.123:  79%|███████▊  | 144/183 [02:55<00:47,  1.22s/it]
Epoch 47, training loss 0.123:  79%|███████▉  | 145/183 [02:55<00:46,  1.21s/it]
Epoch 47, training loss 0.123:  79%|███████▉  | 145/183 [02:56<00:46,  1.22s/it]
Epoch 47, training loss 0.123:  80%|███████▉  | 146/183 [02:57<00:44,  1.21s/it]
Epoch 47, training loss 0.123:  80%|███████▉  | 146/183 [02:57<00:45,  1.22s/it]
Epoch 47, training loss 0.123:  80%|████████  | 147/183 [02:58<00:43,  1.21s/it]
Epoch 47, training loss 0.122:  80%|████████  | 147/183 [02:58<00:43,  1.22s/it]
Epoch 47, training loss 0.122:  81%|████████  | 148/183 [02:59<00:42,  1.21s/it]
Epoch 47, training loss 0.122:  81%|████████  | 148/183 [03:00<00:42,  1.22s/it]
Epoch 47, training loss 0.122:  81%|████████▏ | 149/183 [03:00<00:41,  1.21s/it]
Epoch 47, training loss 0.122:  81%|████████▏ | 149/183 [03:01<00:41,  1.22s/it]
Epoch 47, training loss 0.122:  82%|████████▏ | 150/183 [03:01<00:39,  1.21s/it]
Epoch 47, training loss 0.122:  82%|████████▏ | 150/183 [03:02<00:40,  1.22s/it]
Epoch 47, training loss 0.122:  83%|████████▎ | 151/183 [03:02<00:38,  1.21s/it]
Epoch 47, training loss 0.121:  83%|████████▎ | 151/183 [03:03<00:38,  1.22s/it]
Epoch 47, training loss 0.121:  83%|████████▎ | 152/183 [03:04<00:37,  1.21s/it]
Epoch 47, training loss 0.121:  83%|████████▎ | 152/183 [03:04<00:37,  1.22s/it]
Epoch 47, training loss 0.121:  84%|████████▎ | 153/183 [03:05<00:36,  1.21s/it]
Epoch 47, training loss 0.122:  84%|████████▎ | 153/183 [03:05<00:36,  1.22s/it]
Epoch 47, training loss 0.122:  84%|████████▍ | 154/183 [03:06<00:35,  1.21s/it]
Epoch 47, training loss 0.122:  84%|████████▍ | 154/183 [03:07<00:35,  1.22s/it]
Epoch 47, training loss 0.122:  85%|████████▍ | 155/183 [03:07<00:33,  1.21s/it]
Epoch 47, training loss 0.121:  85%|████████▍ | 155/183 [03:08<00:34,  1.21s/it]
Epoch 47, training loss 0.121:  85%|████████▌ | 156/183 [03:08<00:32,  1.21s/it]
Epoch 47, training loss 0.121:  85%|████████▌ | 156/183 [03:09<00:32,  1.21s/it]
Epoch 47, training loss 0.121:  86%|████████▌ | 157/183 [03:09<00:31,  1.21s/it]
Epoch 47, training loss 0.121:  86%|████████▌ | 157/183 [03:10<00:31,  1.21s/it]
Epoch 47, training loss 0.121:  86%|████████▋ | 158/183 [03:11<00:30,  1.21s/it]
Epoch 47, training loss 0.121:  86%|████████▋ | 158/183 [03:11<00:30,  1.21s/it]
Epoch 47, training loss 0.121:  87%|████████▋ | 159/183 [03:12<00:29,  1.21s/it]
Epoch 47, training loss 0.120:  87%|████████▋ | 159/183 [03:12<00:29,  1.21s/it]
Epoch 47, training loss 0.120:  87%|████████▋ | 160/183 [03:13<00:27,  1.21s/it]
Epoch 47, training loss 0.120:  87%|████████▋ | 160/183 [03:14<00:27,  1.21s/it]
Epoch 47, training loss 0.120:  88%|████████▊ | 161/183 [03:14<00:26,  1.21s/it]
Epoch 47, training loss 0.120:  88%|████████▊ | 161/183 [03:15<00:26,  1.21s/it]
Epoch 47, training loss 0.120:  89%|████████▊ | 162/183 [03:15<00:25,  1.21s/it]
Epoch 47, training loss 0.120:  89%|████████▊ | 162/183 [03:16<00:25,  1.21s/it]
Epoch 47, training loss 0.120:  89%|████████▉ | 163/183 [03:17<00:24,  1.21s/it]
Epoch 47, training loss 0.119:  89%|████████▉ | 163/183 [03:17<00:24,  1.21s/it]
Epoch 47, training loss 0.119:  90%|████████▉ | 164/183 [03:18<00:22,  1.21s/it]
Epoch 47, training loss 0.119:  90%|████████▉ | 164/183 [03:18<00:23,  1.21s/it]
Epoch 47, training loss 0.119:  90%|█████████ | 165/183 [03:19<00:21,  1.21s/it]
Epoch 47, training loss 0.118:  90%|█████████ | 165/183 [03:20<00:21,  1.21s/it]
Epoch 47, training loss 0.118:  91%|█████████ | 166/183 [03:20<00:20,  1.21s/it]
Epoch 47, training loss 0.119:  91%|█████████ | 166/183 [03:21<00:20,  1.21s/it]
Epoch 47, training loss 0.119:  91%|█████████▏| 167/183 [03:21<00:19,  1.21s/it]
Epoch 47, training loss 0.119:  91%|█████████▏| 167/183 [03:22<00:19,  1.21s/it]
Epoch 47, training loss 0.119:  92%|█████████▏| 168/183 [03:23<00:18,  1.21s/it]
Epoch 47, training loss 0.119:  92%|█████████▏| 168/183 [03:23<00:18,  1.21s/it]
Epoch 47, training loss 0.119:  92%|█████████▏| 169/183 [03:24<00:16,  1.21s/it]
Epoch 47, training loss 0.118:  92%|█████████▏| 169/183 [03:24<00:16,  1.21s/it]
Epoch 47, training loss 0.118:  93%|█████████▎| 170/183 [03:25<00:15,  1.21s/it]
Epoch 47, training loss 0.118:  93%|█████████▎| 170/183 [03:25<00:15,  1.21s/it]
Epoch 47, training loss 0.118:  93%|█████████▎| 171/183 [03:26<00:14,  1.21s/it]
Epoch 47, training loss 0.117:  93%|█████████▎| 171/183 [03:27<00:14,  1.21s/it]
Epoch 47, training loss 0.117:  94%|█████████▍| 172/183 [03:27<00:13,  1.21s/it]
Epoch 47, training loss 0.117:  94%|█████████▍| 172/183 [03:28<00:13,  1.21s/it]
Epoch 47, training loss 0.117:  95%|█████████▍| 173/183 [03:28<00:12,  1.21s/it]
Epoch 47, training loss 0.116:  95%|█████████▍| 173/183 [03:29<00:12,  1.21s/it]
Epoch 47, training loss 0.116:  95%|█████████▌| 174/183 [03:29<00:10,  1.21s/it]
Epoch 47, training loss 0.117:  95%|█████████▌| 174/183 [03:30<00:10,  1.21s/it]
Epoch 47, training loss 0.117:  96%|█████████▌| 175/183 [03:31<00:09,  1.21s/it]
Epoch 47, training loss 0.117:  96%|█████████▌| 175/183 [03:31<00:09,  1.21s/it]
Epoch 47, training loss 0.117:  96%|█████████▌| 176/183 [03:32<00:08,  1.21s/it]
Epoch 47, training loss 0.117:  96%|█████████▌| 176/183 [03:32<00:08,  1.21s/it]
Epoch 47, training loss 0.117:  97%|█████████▋| 177/183 [03:33<00:07,  1.20s/it]
Epoch 47, training loss 0.117:  97%|█████████▋| 177/183 [03:33<00:07,  1.21s/it]
Epoch 47, training loss 0.117:  97%|█████████▋| 178/183 [03:34<00:06,  1.20s/it]
Epoch 47, training loss 0.118:  97%|█████████▋| 178/183 [03:34<00:06,  1.21s/it]
Epoch 47, training loss 0.118:  98%|█████████▊| 179/183 [03:35<00:04,  1.20s/it]
Epoch 47, training loss 0.118:  98%|█████████▊| 179/183 [03:36<00:04,  1.21s/it]
Epoch 47, training loss 0.118:  98%|█████████▊| 180/183 [03:36<00:03,  1.20s/it]
Epoch 47, training loss 0.117:  98%|█████████▊| 180/183 [03:37<00:03,  1.21s/it]
Epoch 47, training loss 0.117:  99%|█████████▉| 181/183 [03:37<00:02,  1.20s/it]
Epoch 47, training loss 0.117:  99%|█████████▉| 181/183 [03:38<00:02,  1.21s/it]
Epoch 47, training loss 0.117:  99%|█████████▉| 182/183 [03:38<00:01,  1.20s/it]
Epoch 47, training loss 0.117:  99%|█████████▉| 182/183 [03:39<00:01,  1.21s/it]
Epoch 47, training loss 0.117: 100%|██████████| 183/183 [03:40<00:00,  1.20s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.545:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.545:   1%|          | 1/91 [00:04<06:58,  4.65s/it]
Epoch 47, validation pixAcc: 0.978, mIoU: 0.705:   1%|          | 1/91 [00:05<07:36,  5.08s/it]
Epoch 47, validation pixAcc: 0.978, mIoU: 0.705:   2%|▏         | 2/91 [00:05<03:45,  2.54s/it]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.793:   2%|▏         | 2/91 [00:05<04:06,  2.77s/it]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.793:   3%|▎         | 3/91 [00:05<02:42,  1.85s/it]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.801:   3%|▎         | 3/91 [00:05<02:53,  1.98s/it]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.801:   4%|▍         | 4/91 [00:05<02:08,  1.48s/it]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.905:   4%|▍         | 4/91 [00:06<02:17,  1.58s/it]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.905:   5%|▌         | 5/91 [00:06<01:48,  1.26s/it]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.905:   5%|▌         | 5/91 [00:06<01:56,  1.35s/it]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.905:   7%|▋         | 6/91 [00:06<01:35,  1.13s/it]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.900:   7%|▋         | 6/91 [00:07<01:41,  1.20s/it]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.900:   8%|▊         | 7/91 [00:07<01:26,  1.03s/it]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.900:   8%|▊         | 7/91 [00:07<01:31,  1.09s/it]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.900:   9%|▉         | 8/91 [00:07<01:18,  1.05it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.900:   9%|▉         | 8/91 [00:08<01:23,  1.00s/it]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.900:  10%|▉         | 9/91 [00:08<01:13,  1.12it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.910:  10%|▉         | 9/91 [00:08<01:16,  1.07it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.910:  11%|█         | 10/91 [00:08<01:08,  1.19it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.907:  11%|█         | 10/91 [00:08<01:11,  1.13it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.907:  12%|█▏        | 11/91 [00:08<01:04,  1.24it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.906:  12%|█▏        | 11/91 [00:09<01:07,  1.18it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.906:  13%|█▎        | 12/91 [00:09<01:01,  1.29it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.907:  13%|█▎        | 12/91 [00:09<01:04,  1.23it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.907:  14%|█▍        | 13/91 [00:09<00:58,  1.33it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.915:  14%|█▍        | 13/91 [00:10<01:01,  1.27it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.915:  15%|█▌        | 14/91 [00:10<00:56,  1.37it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.915:  15%|█▌        | 14/91 [00:10<00:58,  1.31it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.915:  16%|█▋        | 15/91 [00:10<00:53,  1.41it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.919:  16%|█▋        | 15/91 [00:11<00:56,  1.35it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.919:  18%|█▊        | 16/91 [00:11<00:52,  1.44it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.919:  18%|█▊        | 16/91 [00:11<00:53,  1.39it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.919:  19%|█▊        | 17/91 [00:11<00:50,  1.48it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.916:  19%|█▊        | 17/91 [00:11<00:51,  1.43it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.916:  20%|█▉        | 18/91 [00:11<00:48,  1.51it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.911:  20%|█▉        | 18/91 [00:12<00:50,  1.46it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.911:  21%|██        | 19/91 [00:12<00:46,  1.54it/s]
Epoch 47, validation pixAcc: 0.978, mIoU: 0.908:  21%|██        | 19/91 [00:12<00:48,  1.49it/s]
Epoch 47, validation pixAcc: 0.978, mIoU: 0.908:  22%|██▏       | 20/91 [00:12<00:45,  1.57it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.910:  22%|██▏       | 20/91 [00:13<00:46,  1.52it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.910:  23%|██▎       | 21/91 [00:13<00:43,  1.60it/s]
Epoch 47, validation pixAcc: 0.978, mIoU: 0.908:  23%|██▎       | 21/91 [00:13<00:45,  1.55it/s]
Epoch 47, validation pixAcc: 0.978, mIoU: 0.908:  24%|██▍       | 22/91 [00:13<00:42,  1.62it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.910:  24%|██▍       | 22/91 [00:14<00:43,  1.57it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.910:  25%|██▌       | 23/91 [00:14<00:41,  1.64it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.910:  25%|██▌       | 23/91 [00:14<00:42,  1.59it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.910:  26%|██▋       | 24/91 [00:14<00:40,  1.66it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.910:  26%|██▋       | 24/91 [00:14<00:41,  1.61it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.910:  27%|██▋       | 25/91 [00:14<00:39,  1.68it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.910:  27%|██▋       | 25/91 [00:15<00:40,  1.63it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.910:  29%|██▊       | 26/91 [00:15<00:38,  1.70it/s]
Epoch 47, validation pixAcc: 0.978, mIoU: 0.912:  29%|██▊       | 26/91 [00:15<00:39,  1.65it/s]
Epoch 47, validation pixAcc: 0.978, mIoU: 0.912:  30%|██▉       | 27/91 [00:15<00:37,  1.72it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.914:  30%|██▉       | 27/91 [00:16<00:38,  1.67it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.914:  31%|███       | 28/91 [00:16<00:36,  1.73it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.914:  31%|███       | 28/91 [00:16<00:37,  1.68it/s]
Epoch 47, validation pixAcc: 0.979, mIoU: 0.914:  32%|███▏      | 29/91 [00:16<00:35,  1.74it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.915:  32%|███▏      | 29/91 [00:17<00:36,  1.70it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.915:  33%|███▎      | 30/91 [00:17<00:34,  1.76it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.917:  33%|███▎      | 30/91 [00:17<00:35,  1.71it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.917:  34%|███▍      | 31/91 [00:17<00:33,  1.77it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.917:  34%|███▍      | 31/91 [00:17<00:34,  1.72it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.917:  35%|███▌      | 32/91 [00:17<00:33,  1.78it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.919:  35%|███▌      | 32/91 [00:18<00:33,  1.74it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.919:  36%|███▋      | 33/91 [00:18<00:32,  1.79it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.919:  36%|███▋      | 33/91 [00:18<00:33,  1.75it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.919:  37%|███▋      | 34/91 [00:18<00:31,  1.80it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.919:  37%|███▋      | 34/91 [00:19<00:32,  1.76it/s]
Epoch 47, validation pixAcc: 0.980, mIoU: 0.919:  38%|███▊      | 35/91 [00:19<00:30,  1.81it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.919:  38%|███▊      | 35/91 [00:19<00:31,  1.77it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.919:  40%|███▉      | 36/91 [00:19<00:30,  1.82it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.919:  40%|███▉      | 36/91 [00:20<00:30,  1.79it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.919:  41%|████      | 37/91 [00:20<00:29,  1.84it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.920:  41%|████      | 37/91 [00:20<00:29,  1.80it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.920:  42%|████▏     | 38/91 [00:20<00:28,  1.85it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.920:  42%|████▏     | 38/91 [00:20<00:29,  1.81it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.920:  43%|████▎     | 39/91 [00:20<00:27,  1.86it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.921:  43%|████▎     | 39/91 [00:21<00:28,  1.82it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.921:  44%|████▍     | 40/91 [00:21<00:27,  1.87it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.921:  44%|████▍     | 40/91 [00:21<00:27,  1.84it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.921:  45%|████▌     | 41/91 [00:21<00:26,  1.88it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.921:  45%|████▌     | 41/91 [00:22<00:27,  1.85it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.921:  46%|████▌     | 42/91 [00:22<00:25,  1.89it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.922:  46%|████▌     | 42/91 [00:22<00:26,  1.86it/s]
Epoch 47, validation pixAcc: 0.981, mIoU: 0.922:  47%|████▋     | 43/91 [00:22<00:25,  1.90it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.922:  47%|████▋     | 43/91 [00:23<00:25,  1.87it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.922:  48%|████▊     | 44/91 [00:23<00:24,  1.91it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.922:  48%|████▊     | 44/91 [00:23<00:25,  1.88it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.922:  49%|████▉     | 45/91 [00:23<00:23,  1.92it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.923:  49%|████▉     | 45/91 [00:23<00:24,  1.88it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.923:  51%|█████     | 46/91 [00:23<00:23,  1.93it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.923:  51%|█████     | 46/91 [00:24<00:23,  1.89it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.923:  52%|█████▏    | 47/91 [00:24<00:22,  1.93it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.923:  52%|█████▏    | 47/91 [00:24<00:23,  1.90it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.923:  53%|█████▎    | 48/91 [00:24<00:22,  1.94it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/91 [00:25<00:22,  1.90it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/91 [00:25<00:21,  1.94it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.923:  54%|█████▍    | 49/91 [00:25<00:21,  1.91it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.923:  55%|█████▍    | 50/91 [00:25<00:21,  1.95it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.923:  55%|█████▍    | 50/91 [00:26<00:21,  1.92it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.923:  56%|█████▌    | 51/91 [00:26<00:20,  1.95it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.924:  56%|█████▌    | 51/91 [00:26<00:20,  1.92it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.924:  57%|█████▋    | 52/91 [00:26<00:19,  1.96it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.924:  57%|█████▋    | 52/91 [00:26<00:20,  1.93it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.924:  58%|█████▊    | 53/91 [00:26<00:19,  1.97it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.923:  58%|█████▊    | 53/91 [00:27<00:19,  1.93it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.923:  59%|█████▉    | 54/91 [00:27<00:18,  1.97it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.923:  59%|█████▉    | 54/91 [00:27<00:19,  1.94it/s]
Epoch 47, validation pixAcc: 0.982, mIoU: 0.923:  60%|██████    | 55/91 [00:27<00:18,  1.98it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.923:  60%|██████    | 55/91 [00:28<00:18,  1.95it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.923:  62%|██████▏   | 56/91 [00:28<00:17,  1.98it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.923:  62%|██████▏   | 56/91 [00:28<00:17,  1.95it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/91 [00:28<00:17,  1.99it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/91 [00:29<00:17,  1.96it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▎   | 58/91 [00:29<00:16,  1.99it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▎   | 58/91 [00:29<00:16,  1.96it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.923:  65%|██████▍   | 59/91 [00:29<00:16,  2.00it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.923:  65%|██████▍   | 59/91 [00:29<00:16,  1.97it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.923:  66%|██████▌   | 60/91 [00:29<00:15,  2.00it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.924:  66%|██████▌   | 60/91 [00:30<00:15,  1.97it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.924:  67%|██████▋   | 61/91 [00:30<00:14,  2.01it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.924:  67%|██████▋   | 61/91 [00:30<00:15,  1.98it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 62/91 [00:30<00:14,  2.01it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.925:  68%|██████▊   | 62/91 [00:31<00:14,  1.98it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.925:  69%|██████▉   | 63/91 [00:31<00:13,  2.02it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.925:  69%|██████▉   | 63/91 [00:31<00:14,  1.99it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 64/91 [00:31<00:13,  2.02it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 64/91 [00:32<00:13,  1.99it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████▏  | 65/91 [00:32<00:12,  2.03it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.926:  71%|███████▏  | 65/91 [00:32<00:12,  2.00it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.926:  73%|███████▎  | 66/91 [00:32<00:12,  2.03it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.926:  73%|███████▎  | 66/91 [00:32<00:12,  2.01it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.926:  74%|███████▎  | 67/91 [00:32<00:11,  2.04it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▎  | 67/91 [00:33<00:11,  2.01it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.925:  75%|███████▍  | 68/91 [00:33<00:11,  2.04it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.926:  75%|███████▍  | 68/91 [00:33<00:11,  2.01it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.926:  76%|███████▌  | 69/91 [00:33<00:10,  2.04it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.926:  76%|███████▌  | 69/91 [00:34<00:10,  2.02it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.926:  77%|███████▋  | 70/91 [00:34<00:10,  2.05it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.926:  77%|███████▋  | 70/91 [00:34<00:10,  2.03it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.926:  78%|███████▊  | 71/91 [00:34<00:09,  2.06it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.926:  78%|███████▊  | 71/91 [00:34<00:09,  2.03it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.926:  79%|███████▉  | 72/91 [00:34<00:09,  2.06it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.926:  79%|███████▉  | 72/91 [00:35<00:09,  2.03it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.926:  80%|████████  | 73/91 [00:35<00:08,  2.06it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.926:  80%|████████  | 73/91 [00:35<00:08,  2.03it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.926:  81%|████████▏ | 74/91 [00:35<00:08,  2.06it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.927:  81%|████████▏ | 74/91 [00:36<00:08,  2.04it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.927:  82%|████████▏ | 75/91 [00:36<00:07,  2.07it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.927:  82%|████████▏ | 75/91 [00:36<00:07,  2.04it/s]
Epoch 47, validation pixAcc: 0.983, mIoU: 0.927:  84%|████████▎ | 76/91 [00:36<00:07,  2.07it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.927:  84%|████████▎ | 76/91 [00:37<00:07,  2.05it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.927:  85%|████████▍ | 77/91 [00:37<00:06,  2.07it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.927:  85%|████████▍ | 77/91 [00:37<00:06,  2.05it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.927:  86%|████████▌ | 78/91 [00:37<00:06,  2.08it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.927:  86%|████████▌ | 78/91 [00:37<00:06,  2.06it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.927:  87%|████████▋ | 79/91 [00:37<00:05,  2.08it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.928:  87%|████████▋ | 79/91 [00:38<00:05,  2.06it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.928:  88%|████████▊ | 80/91 [00:38<00:05,  2.08it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.928:  88%|████████▊ | 80/91 [00:38<00:05,  2.06it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.928:  89%|████████▉ | 81/91 [00:38<00:04,  2.09it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  89%|████████▉ | 81/91 [00:39<00:04,  2.07it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  90%|█████████ | 82/91 [00:39<00:04,  2.09it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  90%|█████████ | 82/91 [00:39<00:04,  2.07it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  91%|█████████ | 83/91 [00:39<00:03,  2.09it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  91%|█████████ | 83/91 [00:40<00:03,  2.07it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  92%|█████████▏| 84/91 [00:40<00:03,  2.10it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  92%|█████████▏| 84/91 [00:40<00:03,  2.08it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  93%|█████████▎| 85/91 [00:40<00:02,  2.10it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  93%|█████████▎| 85/91 [00:40<00:02,  2.08it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  95%|█████████▍| 86/91 [00:40<00:02,  2.10it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  95%|█████████▍| 86/91 [00:41<00:02,  2.08it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  96%|█████████▌| 87/91 [00:41<00:01,  2.10it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  96%|█████████▌| 87/91 [00:41<00:01,  2.08it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  97%|█████████▋| 88/91 [00:41<00:01,  2.11it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  97%|█████████▋| 88/91 [00:42<00:01,  2.09it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  98%|█████████▊| 89/91 [00:42<00:00,  2.11it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  98%|█████████▊| 89/91 [00:42<00:00,  2.09it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  99%|█████████▉| 90/91 [00:42<00:00,  2.11it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929:  99%|█████████▉| 90/91 [00:42<00:00,  2.09it/s]
Epoch 47, validation pixAcc: 0.984, mIoU: 0.929: 100%|██████████| 91/91 [00:42<00:00,  2.12it/s]

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Epoch 48, training loss 0.168:   0%|          | 0/182 [00:05<?, ?it/s]
Epoch 48, training loss 0.168:   1%|          | 1/182 [00:05<17:20,  5.75s/it]
Epoch 48, training loss 0.205:   1%|          | 1/182 [00:06<19:19,  6.40s/it]
Epoch 48, training loss 0.205:   1%|          | 2/182 [00:06<10:21,  3.45s/it]
Epoch 48, training loss 0.166:   1%|          | 2/182 [00:07<11:22,  3.79s/it]
Epoch 48, training loss 0.166:   2%|▏         | 3/182 [00:08<08:02,  2.70s/it]
Epoch 48, training loss 0.154:   2%|▏         | 3/182 [00:08<08:40,  2.91s/it]
Epoch 48, training loss 0.154:   2%|▏         | 4/182 [00:09<06:50,  2.31s/it]
Epoch 48, training loss 0.147:   2%|▏         | 4/182 [00:09<07:19,  2.47s/it]
Epoch 48, training loss 0.147:   3%|▎         | 5/182 [00:10<06:07,  2.08s/it]
Epoch 48, training loss 0.200:   3%|▎         | 5/182 [00:11<06:34,  2.23s/it]
Epoch 48, training loss 0.200:   3%|▎         | 6/182 [00:11<05:41,  1.94s/it]
Epoch 48, training loss 0.187:   3%|▎         | 6/182 [00:12<06:02,  2.06s/it]
Epoch 48, training loss 0.187:   4%|▍         | 7/182 [00:12<05:21,  1.84s/it]
Epoch 48, training loss 0.175:   4%|▍         | 7/182 [00:13<05:41,  1.95s/it]
Epoch 48, training loss 0.175:   4%|▍         | 8/182 [00:14<05:08,  1.77s/it]
Epoch 48, training loss 0.173:   4%|▍         | 8/182 [00:14<05:21,  1.85s/it]
Epoch 48, training loss 0.173:   5%|▍         | 9/182 [00:15<04:53,  1.70s/it]
Epoch 48, training loss 0.163:   5%|▍         | 9/182 [00:15<05:06,  1.77s/it]
Epoch 48, training loss 0.163:   5%|▌         | 10/182 [00:16<04:42,  1.64s/it]
Epoch 48, training loss 0.154:   5%|▌         | 10/182 [00:17<04:53,  1.71s/it]
Epoch 48, training loss 0.154:   6%|▌         | 11/182 [00:17<04:33,  1.60s/it]
Epoch 48, training loss 0.148:   6%|▌         | 11/182 [00:18<04:45,  1.67s/it]
Epoch 48, training loss 0.148:   7%|▋         | 12/182 [00:18<04:27,  1.57s/it]
Epoch 48, training loss 0.138:   7%|▋         | 12/182 [00:19<04:37,  1.64s/it]
Epoch 48, training loss 0.138:   7%|▋         | 13/182 [00:20<04:21,  1.55s/it]
Epoch 48, training loss 0.132:   7%|▋         | 13/182 [00:20<04:31,  1.61s/it]
Epoch 48, training loss 0.132:   8%|▊         | 14/182 [00:21<04:16,  1.53s/it]
Epoch 48, training loss 0.137:   8%|▊         | 14/182 [00:22<04:24,  1.57s/it]
Epoch 48, training loss 0.137:   8%|▊         | 15/182 [00:22<04:10,  1.50s/it]
Epoch 48, training loss 0.131:   8%|▊         | 15/182 [00:23<04:18,  1.55s/it]
Epoch 48, training loss 0.131:   9%|▉         | 16/182 [00:23<04:06,  1.48s/it]
Epoch 48, training loss 0.125:   9%|▉         | 16/182 [00:24<04:13,  1.53s/it]
Epoch 48, training loss 0.125:   9%|▉         | 17/182 [00:24<04:01,  1.47s/it]
Epoch 48, training loss 0.119:   9%|▉         | 17/182 [00:25<04:09,  1.51s/it]
Epoch 48, training loss 0.119:  10%|▉         | 18/182 [00:26<03:58,  1.45s/it]
Epoch 48, training loss 0.139:  10%|▉         | 18/182 [00:26<04:04,  1.49s/it]
Epoch 48, training loss 0.139:  10%|█         | 19/182 [00:27<03:54,  1.44s/it]
Epoch 48, training loss 0.134:  10%|█         | 19/182 [00:28<04:00,  1.47s/it]
Epoch 48, training loss 0.134:  11%|█         | 20/182 [00:28<03:50,  1.43s/it]
Epoch 48, training loss 0.141:  11%|█         | 20/182 [00:29<03:56,  1.46s/it]
Epoch 48, training loss 0.141:  12%|█▏        | 21/182 [00:29<03:47,  1.41s/it]
Epoch 48, training loss 0.138:  12%|█▏        | 21/182 [00:30<03:53,  1.45s/it]
Epoch 48, training loss 0.138:  12%|█▏        | 22/182 [00:30<03:44,  1.41s/it]
Epoch 48, training loss 0.135:  12%|█▏        | 22/182 [00:31<03:49,  1.44s/it]
Epoch 48, training loss 0.135:  13%|█▎        | 23/182 [00:32<03:41,  1.40s/it]
Epoch 48, training loss 0.132:  13%|█▎        | 23/182 [00:32<03:46,  1.43s/it]
Epoch 48, training loss 0.132:  13%|█▎        | 24/182 [00:33<03:39,  1.39s/it]
Epoch 48, training loss 0.131:  13%|█▎        | 24/182 [00:33<03:43,  1.41s/it]
Epoch 48, training loss 0.131:  14%|█▎        | 25/182 [00:34<03:36,  1.38s/it]
Epoch 48, training loss 0.132:  14%|█▎        | 25/182 [00:35<03:40,  1.41s/it]
Epoch 48, training loss 0.132:  14%|█▍        | 26/182 [00:35<03:33,  1.37s/it]
Epoch 48, training loss 0.133:  14%|█▍        | 26/182 [00:36<03:37,  1.39s/it]
Epoch 48, training loss 0.133:  15%|█▍        | 27/182 [00:36<03:31,  1.36s/it]
Epoch 48, training loss 0.130:  15%|█▍        | 27/182 [00:37<03:34,  1.39s/it]
Epoch 48, training loss 0.130:  15%|█▌        | 28/182 [00:37<03:28,  1.35s/it]
Epoch 48, training loss 0.134:  15%|█▌        | 28/182 [00:38<03:32,  1.38s/it]
Epoch 48, training loss 0.134:  16%|█▌        | 29/182 [00:39<03:26,  1.35s/it]
Epoch 48, training loss 0.133:  16%|█▌        | 29/182 [00:39<03:29,  1.37s/it]
Epoch 48, training loss 0.133:  16%|█▋        | 30/182 [00:40<03:23,  1.34s/it]
Epoch 48, training loss 0.131:  16%|█▋        | 30/182 [00:40<03:27,  1.36s/it]
Epoch 48, training loss 0.131:  17%|█▋        | 31/182 [00:41<03:21,  1.34s/it]
Epoch 48, training loss 0.127:  17%|█▋        | 31/182 [00:42<03:25,  1.36s/it]
Epoch 48, training loss 0.127:  18%|█▊        | 32/182 [00:42<03:19,  1.33s/it]
Epoch 48, training loss 0.128:  18%|█▊        | 32/182 [00:43<03:22,  1.35s/it]
Epoch 48, training loss 0.128:  18%|█▊        | 33/182 [00:43<03:17,  1.32s/it]
Epoch 48, training loss 0.125:  18%|█▊        | 33/182 [00:44<03:20,  1.34s/it]
Epoch 48, training loss 0.125:  19%|█▊        | 34/182 [00:44<03:15,  1.32s/it]
Epoch 48, training loss 0.122:  19%|█▊        | 34/182 [00:45<03:17,  1.34s/it]
Epoch 48, training loss 0.122:  19%|█▉        | 35/182 [00:45<03:13,  1.31s/it]
Epoch 48, training loss 0.123:  19%|█▉        | 35/182 [00:46<03:15,  1.33s/it]
Epoch 48, training loss 0.123:  20%|█▉        | 36/182 [00:47<03:11,  1.31s/it]
Epoch 48, training loss 0.124:  20%|█▉        | 36/182 [00:47<03:13,  1.33s/it]
Epoch 48, training loss 0.124:  20%|██        | 37/182 [00:48<03:09,  1.31s/it]
Epoch 48, training loss 0.123:  20%|██        | 37/182 [00:48<03:11,  1.32s/it]
Epoch 48, training loss 0.123:  21%|██        | 38/182 [00:49<03:07,  1.30s/it]
Epoch 48, training loss 0.125:  21%|██        | 38/182 [00:50<03:09,  1.32s/it]
Epoch 48, training loss 0.125:  21%|██▏       | 39/182 [00:50<03:05,  1.30s/it]
Epoch 48, training loss 0.125:  21%|██▏       | 39/182 [00:51<03:08,  1.32s/it]
Epoch 48, training loss 0.125:  22%|██▏       | 40/182 [00:51<03:03,  1.29s/it]
Epoch 48, training loss 0.123:  22%|██▏       | 40/182 [00:52<03:06,  1.31s/it]
Epoch 48, training loss 0.123:  23%|██▎       | 41/182 [00:52<03:02,  1.29s/it]
Epoch 48, training loss 0.121:  23%|██▎       | 41/182 [00:53<03:04,  1.31s/it]
Epoch 48, training loss 0.121:  23%|██▎       | 42/182 [00:54<03:00,  1.29s/it]
Epoch 48, training loss 0.119:  23%|██▎       | 42/182 [00:54<03:03,  1.31s/it]
Epoch 48, training loss 0.119:  24%|██▎       | 43/182 [00:55<02:59,  1.29s/it]
Epoch 48, training loss 0.118:  24%|██▎       | 43/182 [00:56<03:01,  1.31s/it]
Epoch 48, training loss 0.118:  24%|██▍       | 44/182 [00:56<02:57,  1.29s/it]
Epoch 48, training loss 0.117:  24%|██▍       | 44/182 [00:57<02:59,  1.30s/it]
Epoch 48, training loss 0.117:  25%|██▍       | 45/182 [00:57<02:55,  1.28s/it]
Epoch 48, training loss 0.115:  25%|██▍       | 45/182 [00:58<02:57,  1.30s/it]
Epoch 48, training loss 0.115:  25%|██▌       | 46/182 [00:58<02:53,  1.28s/it]
Epoch 48, training loss 0.115:  25%|██▌       | 46/182 [00:59<02:55,  1.29s/it]
Epoch 48, training loss 0.115:  26%|██▌       | 47/182 [00:59<02:52,  1.28s/it]
Epoch 48, training loss 0.113:  26%|██▌       | 47/182 [01:00<02:54,  1.29s/it]
Epoch 48, training loss 0.113:  26%|██▋       | 48/182 [01:01<02:50,  1.27s/it]
Epoch 48, training loss 0.113:  26%|██▋       | 48/182 [01:01<02:52,  1.29s/it]
Epoch 48, training loss 0.113:  27%|██▋       | 49/182 [01:02<02:49,  1.27s/it]
Epoch 48, training loss 0.112:  27%|██▋       | 49/182 [01:03<02:51,  1.29s/it]
Epoch 48, training loss 0.112:  27%|██▋       | 50/182 [01:03<02:48,  1.27s/it]
Epoch 48, training loss 0.111:  27%|██▋       | 50/182 [01:04<02:50,  1.29s/it]
Epoch 48, training loss 0.111:  28%|██▊       | 51/182 [01:04<02:46,  1.27s/it]
Epoch 48, training loss 0.109:  28%|██▊       | 51/182 [01:05<02:48,  1.29s/it]
Epoch 48, training loss 0.109:  29%|██▊       | 52/182 [01:06<02:45,  1.27s/it]
Epoch 48, training loss 0.108:  29%|██▊       | 52/182 [01:06<02:47,  1.28s/it]
Epoch 48, training loss 0.108:  29%|██▉       | 53/182 [01:07<02:43,  1.27s/it]
Epoch 48, training loss 0.106:  29%|██▉       | 53/182 [01:08<02:45,  1.28s/it]
Epoch 48, training loss 0.106:  30%|██▉       | 54/182 [01:08<02:42,  1.27s/it]
Epoch 48, training loss 0.106:  30%|██▉       | 54/182 [01:09<02:44,  1.28s/it]
Epoch 48, training loss 0.106:  30%|███       | 55/182 [01:09<02:40,  1.27s/it]
Epoch 48, training loss 0.107:  30%|███       | 55/182 [01:10<02:42,  1.28s/it]
Epoch 48, training loss 0.107:  31%|███       | 56/182 [01:10<02:39,  1.27s/it]
Epoch 48, training loss 0.106:  31%|███       | 56/182 [01:11<02:40,  1.28s/it]
Epoch 48, training loss 0.106:  31%|███▏      | 57/182 [01:11<02:37,  1.26s/it]
Epoch 48, training loss 0.106:  31%|███▏      | 57/182 [01:12<02:39,  1.27s/it]
Epoch 48, training loss 0.106:  32%|███▏      | 58/182 [01:13<02:36,  1.26s/it]
Epoch 48, training loss 0.105:  32%|███▏      | 58/182 [01:13<02:37,  1.27s/it]
Epoch 48, training loss 0.105:  32%|███▏      | 59/182 [01:14<02:34,  1.26s/it]
Epoch 48, training loss 0.106:  32%|███▏      | 59/182 [01:15<02:36,  1.27s/it]
Epoch 48, training loss 0.106:  33%|███▎      | 60/182 [01:15<02:33,  1.26s/it]
Epoch 48, training loss 0.108:  33%|███▎      | 60/182 [01:16<02:35,  1.27s/it]
Epoch 48, training loss 0.108:  34%|███▎      | 61/182 [01:16<02:32,  1.26s/it]
Epoch 48, training loss 0.106:  34%|███▎      | 61/182 [01:17<02:33,  1.27s/it]
Epoch 48, training loss 0.106:  34%|███▍      | 62/182 [01:17<02:30,  1.26s/it]
Epoch 48, training loss 0.106:  34%|███▍      | 62/182 [01:18<02:32,  1.27s/it]
Epoch 48, training loss 0.106:  35%|███▍      | 63/182 [01:19<02:29,  1.25s/it]
Epoch 48, training loss 0.116:  35%|███▍      | 63/182 [01:19<02:30,  1.27s/it]
Epoch 48, training loss 0.116:  35%|███▌      | 64/182 [01:20<02:27,  1.25s/it]
Epoch 48, training loss 0.116:  35%|███▌      | 64/182 [01:20<02:29,  1.26s/it]
Epoch 48, training loss 0.116:  36%|███▌      | 65/182 [01:21<02:26,  1.25s/it]
Epoch 48, training loss 0.115:  36%|███▌      | 65/182 [01:22<02:27,  1.26s/it]
Epoch 48, training loss 0.115:  36%|███▋      | 66/182 [01:22<02:25,  1.25s/it]
Epoch 48, training loss 0.117:  36%|███▋      | 66/182 [01:23<02:26,  1.26s/it]
Epoch 48, training loss 0.117:  37%|███▋      | 67/182 [01:23<02:23,  1.25s/it]
Epoch 48, training loss 0.116:  37%|███▋      | 67/182 [01:24<02:25,  1.26s/it]
Epoch 48, training loss 0.116:  37%|███▋      | 68/182 [01:25<02:22,  1.25s/it]
Epoch 48, training loss 0.116:  37%|███▋      | 68/182 [01:25<02:23,  1.26s/it]
Epoch 48, training loss 0.116:  38%|███▊      | 69/182 [01:26<02:21,  1.25s/it]
Epoch 48, training loss 0.115:  38%|███▊      | 69/182 [01:26<02:22,  1.26s/it]
Epoch 48, training loss 0.115:  38%|███▊      | 70/182 [01:27<02:19,  1.25s/it]
Epoch 48, training loss 0.115:  38%|███▊      | 70/182 [01:28<02:20,  1.26s/it]
Epoch 48, training loss 0.115:  39%|███▉      | 71/182 [01:28<02:18,  1.25s/it]
Epoch 48, training loss 0.114:  39%|███▉      | 71/182 [01:29<02:19,  1.26s/it]
Epoch 48, training loss 0.114:  40%|███▉      | 72/182 [01:29<02:17,  1.25s/it]
Epoch 48, training loss 0.114:  40%|███▉      | 72/182 [01:30<02:18,  1.26s/it]
Epoch 48, training loss 0.114:  40%|████      | 73/182 [01:30<02:15,  1.25s/it]
Epoch 48, training loss 0.113:  40%|████      | 73/182 [01:31<02:16,  1.26s/it]
Epoch 48, training loss 0.113:  41%|████      | 74/182 [01:32<02:14,  1.25s/it]
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Epoch 48, training loss 0.113:  41%|████      | 75/182 [01:33<02:13,  1.24s/it]
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Epoch 48, training loss 0.112:  42%|████▏     | 76/182 [01:34<02:11,  1.24s/it]
Epoch 48, training loss 0.113:  42%|████▏     | 76/182 [01:35<02:12,  1.25s/it]
Epoch 48, training loss 0.113:  42%|████▏     | 77/182 [01:35<02:10,  1.24s/it]
Epoch 48, training loss 0.112:  42%|████▏     | 77/182 [01:36<02:11,  1.25s/it]
Epoch 48, training loss 0.112:  43%|████▎     | 78/182 [01:36<02:09,  1.24s/it]
Epoch 48, training loss 0.111:  43%|████▎     | 78/182 [01:37<02:10,  1.25s/it]
Epoch 48, training loss 0.111:  43%|████▎     | 79/182 [01:38<02:07,  1.24s/it]
Epoch 48, training loss 0.110:  43%|████▎     | 79/182 [01:38<02:08,  1.25s/it]
Epoch 48, training loss 0.110:  44%|████▍     | 80/182 [01:39<02:06,  1.24s/it]
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Epoch 48, training loss 0.110:  45%|████▍     | 81/182 [01:40<02:05,  1.24s/it]
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Epoch 48, training loss 0.110:  45%|████▌     | 82/182 [01:41<02:03,  1.24s/it]
Epoch 48, training loss 0.110:  45%|████▌     | 82/182 [01:42<02:04,  1.25s/it]
Epoch 48, training loss 0.110:  46%|████▌     | 83/182 [01:42<02:02,  1.24s/it]
Epoch 48, training loss 0.109:  46%|████▌     | 83/182 [01:43<02:03,  1.24s/it]
Epoch 48, training loss 0.109:  46%|████▌     | 84/182 [01:43<02:01,  1.24s/it]
Epoch 48, training loss 0.109:  46%|████▌     | 84/182 [01:44<02:01,  1.24s/it]
Epoch 48, training loss 0.109:  47%|████▋     | 85/182 [01:44<01:59,  1.23s/it]
Epoch 48, training loss 0.110:  47%|████▋     | 85/182 [01:45<02:00,  1.24s/it]
Epoch 48, training loss 0.110:  47%|████▋     | 86/182 [01:46<01:58,  1.24s/it]
Epoch 48, training loss 0.109:  47%|████▋     | 86/182 [01:46<01:59,  1.24s/it]
Epoch 48, training loss 0.109:  48%|████▊     | 87/182 [01:47<01:57,  1.23s/it]
Epoch 48, training loss 0.109:  48%|████▊     | 87/182 [01:48<01:58,  1.24s/it]
Epoch 48, training loss 0.109:  48%|████▊     | 88/182 [01:48<01:56,  1.23s/it]
Epoch 48, training loss 0.108:  48%|████▊     | 88/182 [01:49<01:56,  1.24s/it]
Epoch 48, training loss 0.108:  49%|████▉     | 89/182 [01:49<01:54,  1.23s/it]
Epoch 48, training loss 0.107:  49%|████▉     | 89/182 [01:50<01:55,  1.24s/it]
Epoch 48, training loss 0.107:  49%|████▉     | 90/182 [01:50<01:53,  1.23s/it]
Epoch 48, training loss 0.107:  49%|████▉     | 90/182 [01:51<01:54,  1.24s/it]
Epoch 48, training loss 0.107:  50%|█████     | 91/182 [01:52<01:52,  1.23s/it]
Epoch 48, training loss 0.108:  50%|█████     | 91/182 [01:52<01:52,  1.24s/it]
Epoch 48, training loss 0.108:  51%|█████     | 92/182 [01:53<01:50,  1.23s/it]
Epoch 48, training loss 0.108:  51%|█████     | 92/182 [01:54<01:51,  1.24s/it]
Epoch 48, training loss 0.108:  51%|█████     | 93/182 [01:54<01:49,  1.23s/it]
Epoch 48, training loss 0.108:  51%|█████     | 93/182 [01:55<01:50,  1.24s/it]
Epoch 48, training loss 0.108:  52%|█████▏    | 94/182 [01:55<01:48,  1.23s/it]
Epoch 48, training loss 0.108:  52%|█████▏    | 94/182 [01:56<01:48,  1.24s/it]
Epoch 48, training loss 0.108:  52%|█████▏    | 95/182 [01:56<01:46,  1.23s/it]
Epoch 48, training loss 0.109:  52%|█████▏    | 95/182 [01:57<01:47,  1.24s/it]
Epoch 48, training loss 0.109:  53%|█████▎    | 96/182 [01:58<01:45,  1.23s/it]
Epoch 48, training loss 0.108:  53%|█████▎    | 96/182 [01:58<01:46,  1.24s/it]
Epoch 48, training loss 0.108:  53%|█████▎    | 97/182 [01:59<01:44,  1.23s/it]
Epoch 48, training loss 0.108:  53%|█████▎    | 97/182 [01:59<01:44,  1.23s/it]
Epoch 48, training loss 0.108:  54%|█████▍    | 98/182 [02:00<01:43,  1.23s/it]
Epoch 48, training loss 0.108:  54%|█████▍    | 98/182 [02:00<01:43,  1.23s/it]
Epoch 48, training loss 0.108:  54%|█████▍    | 99/182 [02:01<01:41,  1.23s/it]
Epoch 48, training loss 0.108:  54%|█████▍    | 99/182 [02:02<01:42,  1.23s/it]
Epoch 48, training loss 0.108:  55%|█████▍    | 100/182 [02:02<01:40,  1.23s/it]
Epoch 48, training loss 0.110:  55%|█████▍    | 100/182 [02:03<01:41,  1.23s/it]
Epoch 48, training loss 0.110:  55%|█████▌    | 101/182 [02:03<01:39,  1.23s/it]
Epoch 48, training loss 0.110:  55%|█████▌    | 101/182 [02:04<01:39,  1.23s/it]
Epoch 48, training loss 0.110:  56%|█████▌    | 102/182 [02:04<01:38,  1.23s/it]
Epoch 48, training loss 0.112:  56%|█████▌    | 102/182 [02:05<01:38,  1.23s/it]
Epoch 48, training loss 0.112:  57%|█████▋    | 103/182 [02:06<01:36,  1.22s/it]
Epoch 48, training loss 0.112:  57%|█████▋    | 103/182 [02:06<01:37,  1.23s/it]
Epoch 48, training loss 0.112:  57%|█████▋    | 104/182 [02:07<01:35,  1.22s/it]
Epoch 48, training loss 0.111:  57%|█████▋    | 104/182 [02:07<01:35,  1.23s/it]
Epoch 48, training loss 0.111:  58%|█████▊    | 105/182 [02:08<01:34,  1.22s/it]
Epoch 48, training loss 0.110:  58%|█████▊    | 105/182 [02:08<01:34,  1.23s/it]
Epoch 48, training loss 0.110:  58%|█████▊    | 106/182 [02:09<01:32,  1.22s/it]
Epoch 48, training loss 0.110:  58%|█████▊    | 106/182 [02:10<01:33,  1.23s/it]
Epoch 48, training loss 0.110:  59%|█████▉    | 107/182 [02:10<01:31,  1.22s/it]
Epoch 48, training loss 0.109:  59%|█████▉    | 107/182 [02:11<01:32,  1.23s/it]
Epoch 48, training loss 0.109:  59%|█████▉    | 108/182 [02:11<01:30,  1.22s/it]
Epoch 48, training loss 0.109:  59%|█████▉    | 108/182 [02:12<01:30,  1.23s/it]
Epoch 48, training loss 0.109:  60%|█████▉    | 109/182 [02:12<01:29,  1.22s/it]
Epoch 48, training loss 0.108:  60%|█████▉    | 109/182 [02:13<01:29,  1.23s/it]
Epoch 48, training loss 0.108:  60%|██████    | 110/182 [02:14<01:27,  1.22s/it]
Epoch 48, training loss 0.108:  60%|██████    | 110/182 [02:14<01:28,  1.23s/it]
Epoch 48, training loss 0.108:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 48, training loss 0.108:  61%|██████    | 111/182 [02:15<01:26,  1.22s/it]
Epoch 48, training loss 0.108:  62%|██████▏   | 112/182 [02:16<01:25,  1.22s/it]
Epoch 48, training loss 0.108:  62%|██████▏   | 112/182 [02:17<01:25,  1.22s/it]
Epoch 48, training loss 0.108:  62%|██████▏   | 113/182 [02:17<01:23,  1.22s/it]
Epoch 48, training loss 0.108:  62%|██████▏   | 113/182 [02:18<01:24,  1.22s/it]
Epoch 48, training loss 0.108:  63%|██████▎   | 114/182 [02:18<01:22,  1.22s/it]
Epoch 48, training loss 0.107:  63%|██████▎   | 114/182 [02:19<01:23,  1.22s/it]
Epoch 48, training loss 0.107:  63%|██████▎   | 115/182 [02:19<01:21,  1.22s/it]
Epoch 48, training loss 0.107:  63%|██████▎   | 115/182 [02:20<01:21,  1.22s/it]
Epoch 48, training loss 0.107:  64%|██████▎   | 116/182 [02:21<01:20,  1.22s/it]
Epoch 48, training loss 0.107:  64%|██████▎   | 116/182 [02:21<01:20,  1.22s/it]
Epoch 48, training loss 0.107:  64%|██████▍   | 117/182 [02:22<01:19,  1.22s/it]
Epoch 48, training loss 0.107:  64%|██████▍   | 117/182 [02:23<01:19,  1.22s/it]
Epoch 48, training loss 0.107:  65%|██████▍   | 118/182 [02:23<01:17,  1.22s/it]
Epoch 48, training loss 0.107:  65%|██████▍   | 118/182 [02:24<01:18,  1.22s/it]
Epoch 48, training loss 0.107:  65%|██████▌   | 119/182 [02:24<01:16,  1.22s/it]
Epoch 48, training loss 0.107:  65%|██████▌   | 119/182 [02:25<01:16,  1.22s/it]
Epoch 48, training loss 0.107:  66%|██████▌   | 120/182 [02:25<01:15,  1.22s/it]
Epoch 48, training loss 0.107:  66%|██████▌   | 120/182 [02:26<01:15,  1.22s/it]
Epoch 48, training loss 0.107:  66%|██████▋   | 121/182 [02:26<01:14,  1.21s/it]
Epoch 48, training loss 0.107:  66%|██████▋   | 121/182 [02:27<01:14,  1.22s/it]
Epoch 48, training loss 0.107:  67%|██████▋   | 122/182 [02:28<01:12,  1.21s/it]
Epoch 48, training loss 0.108:  67%|██████▋   | 122/182 [02:28<01:13,  1.22s/it]
Epoch 48, training loss 0.108:  68%|██████▊   | 123/182 [02:29<01:11,  1.21s/it]
Epoch 48, training loss 0.110:  68%|██████▊   | 123/182 [02:29<01:11,  1.22s/it]
Epoch 48, training loss 0.110:  68%|██████▊   | 124/182 [02:30<01:10,  1.21s/it]
Epoch 48, training loss 0.110:  68%|██████▊   | 124/182 [02:31<01:10,  1.22s/it]
Epoch 48, training loss 0.110:  69%|██████▊   | 125/182 [02:31<01:09,  1.21s/it]
Epoch 48, training loss 0.109:  69%|██████▊   | 125/182 [02:32<01:09,  1.22s/it]
Epoch 48, training loss 0.109:  69%|██████▉   | 126/182 [02:32<01:07,  1.21s/it]
Epoch 48, training loss 0.109:  69%|██████▉   | 126/182 [02:33<01:08,  1.22s/it]
Epoch 48, training loss 0.109:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 48, training loss 0.109:  70%|██████▉   | 127/182 [02:34<01:06,  1.22s/it]
Epoch 48, training loss 0.109:  70%|███████   | 128/182 [02:35<01:05,  1.21s/it]
Epoch 48, training loss 0.109:  70%|███████   | 128/182 [02:35<01:05,  1.22s/it]
Epoch 48, training loss 0.109:  71%|███████   | 129/182 [02:36<01:04,  1.21s/it]
Epoch 48, training loss 0.109:  71%|███████   | 129/182 [02:36<01:04,  1.22s/it]
Epoch 48, training loss 0.109:  71%|███████▏  | 130/182 [02:37<01:02,  1.21s/it]
Epoch 48, training loss 0.109:  71%|███████▏  | 130/182 [02:38<01:03,  1.22s/it]
Epoch 48, training loss 0.109:  72%|███████▏  | 131/182 [02:38<01:01,  1.21s/it]
Epoch 48, training loss 0.109:  72%|███████▏  | 131/182 [02:39<01:01,  1.22s/it]
Epoch 48, training loss 0.109:  73%|███████▎  | 132/182 [02:39<01:00,  1.21s/it]
Epoch 48, training loss 0.109:  73%|███████▎  | 132/182 [02:40<01:00,  1.22s/it]
Epoch 48, training loss 0.109:  73%|███████▎  | 133/182 [02:40<00:59,  1.21s/it]
Epoch 48, training loss 0.109:  73%|███████▎  | 133/182 [02:41<00:59,  1.22s/it]
Epoch 48, training loss 0.109:  74%|███████▎  | 134/182 [02:42<00:58,  1.21s/it]
Epoch 48, training loss 0.109:  74%|███████▎  | 134/182 [02:42<00:58,  1.22s/it]
Epoch 48, training loss 0.109:  74%|███████▍  | 135/182 [02:43<00:56,  1.21s/it]
Epoch 48, training loss 0.109:  74%|███████▍  | 135/182 [02:44<00:57,  1.22s/it]
Epoch 48, training loss 0.109:  75%|███████▍  | 136/182 [02:44<00:55,  1.21s/it]
Epoch 48, training loss 0.108:  75%|███████▍  | 136/182 [02:45<00:55,  1.22s/it]
Epoch 48, training loss 0.108:  75%|███████▌  | 137/182 [02:45<00:54,  1.21s/it]
Epoch 48, training loss 0.107:  75%|███████▌  | 137/182 [02:46<00:54,  1.22s/it]
Epoch 48, training loss 0.107:  76%|███████▌  | 138/182 [02:47<00:53,  1.21s/it]
Epoch 48, training loss 0.107:  76%|███████▌  | 138/182 [02:47<00:53,  1.22s/it]
Epoch 48, training loss 0.107:  76%|███████▋  | 139/182 [02:48<00:52,  1.21s/it]
Epoch 48, training loss 0.107:  76%|███████▋  | 139/182 [02:48<00:52,  1.22s/it]
Epoch 48, training loss 0.107:  77%|███████▋  | 140/182 [02:49<00:50,  1.21s/it]
Epoch 48, training loss 0.107:  77%|███████▋  | 140/182 [02:50<00:51,  1.22s/it]
Epoch 48, training loss 0.107:  77%|███████▋  | 141/182 [02:50<00:49,  1.21s/it]
Epoch 48, training loss 0.106:  77%|███████▋  | 141/182 [02:51<00:49,  1.22s/it]
Epoch 48, training loss 0.106:  78%|███████▊  | 142/182 [02:51<00:48,  1.21s/it]
Epoch 48, training loss 0.108:  78%|███████▊  | 142/182 [02:52<00:48,  1.21s/it]
Epoch 48, training loss 0.108:  79%|███████▊  | 143/182 [02:52<00:47,  1.21s/it]
Epoch 48, training loss 0.109:  79%|███████▊  | 143/182 [02:53<00:47,  1.21s/it]
Epoch 48, training loss 0.109:  79%|███████▉  | 144/182 [02:54<00:45,  1.21s/it]
Epoch 48, training loss 0.112:  79%|███████▉  | 144/182 [02:54<00:46,  1.21s/it]
Epoch 48, training loss 0.112:  80%|███████▉  | 145/182 [02:55<00:44,  1.21s/it]
Epoch 48, training loss 0.112:  80%|███████▉  | 145/182 [02:55<00:44,  1.21s/it]
Epoch 48, training loss 0.112:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 48, training loss 0.112:  80%|████████  | 146/182 [02:56<00:43,  1.21s/it]
Epoch 48, training loss 0.112:  81%|████████  | 147/182 [02:57<00:42,  1.21s/it]
Epoch 48, training loss 0.111:  81%|████████  | 147/182 [02:57<00:42,  1.21s/it]
Epoch 48, training loss 0.111:  81%|████████▏ | 148/182 [02:58<00:40,  1.21s/it]
Epoch 48, training loss 0.111:  81%|████████▏ | 148/182 [02:58<00:41,  1.21s/it]
Epoch 48, training loss 0.111:  82%|████████▏ | 149/182 [02:59<00:39,  1.20s/it]
Epoch 48, training loss 0.110:  82%|████████▏ | 149/182 [03:00<00:39,  1.21s/it]
Epoch 48, training loss 0.110:  82%|████████▏ | 150/182 [03:00<00:38,  1.20s/it]
Epoch 48, training loss 0.110:  82%|████████▏ | 150/182 [03:01<00:38,  1.21s/it]
Epoch 48, training loss 0.110:  83%|████████▎ | 151/182 [03:01<00:37,  1.20s/it]
Epoch 48, training loss 0.110:  83%|████████▎ | 151/182 [03:02<00:37,  1.21s/it]
Epoch 48, training loss 0.110:  84%|████████▎ | 152/182 [03:02<00:36,  1.20s/it]
Epoch 48, training loss 0.109:  84%|████████▎ | 152/182 [03:03<00:36,  1.21s/it]
Epoch 48, training loss 0.109:  84%|████████▍ | 153/182 [03:04<00:34,  1.20s/it]
Epoch 48, training loss 0.109:  84%|████████▍ | 153/182 [03:04<00:35,  1.21s/it]
Epoch 48, training loss 0.109:  85%|████████▍ | 154/182 [03:05<00:33,  1.20s/it]
Epoch 48, training loss 0.109:  85%|████████▍ | 154/182 [03:05<00:33,  1.21s/it]
Epoch 48, training loss 0.109:  85%|████████▌ | 155/182 [03:06<00:32,  1.20s/it]
Epoch 48, training loss 0.110:  85%|████████▌ | 155/182 [03:06<00:32,  1.21s/it]
Epoch 48, training loss 0.110:  86%|████████▌ | 156/182 [03:07<00:31,  1.20s/it]
Epoch 48, training loss 0.110:  86%|████████▌ | 156/182 [03:08<00:31,  1.21s/it]
Epoch 48, training loss 0.110:  86%|████████▋ | 157/182 [03:08<00:30,  1.20s/it]
Epoch 48, training loss 0.110:  86%|████████▋ | 157/182 [03:09<00:30,  1.21s/it]
Epoch 48, training loss 0.110:  87%|████████▋ | 158/182 [03:09<00:28,  1.20s/it]
Epoch 48, training loss 0.111:  87%|████████▋ | 158/182 [03:10<00:28,  1.20s/it]
Epoch 48, training loss 0.111:  87%|████████▋ | 159/182 [03:10<00:27,  1.20s/it]
Epoch 48, training loss 0.111:  87%|████████▋ | 159/182 [03:11<00:27,  1.20s/it]
Epoch 48, training loss 0.111:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 48, training loss 0.111:  88%|████████▊ | 160/182 [03:12<00:26,  1.20s/it]
Epoch 48, training loss 0.111:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 48, training loss 0.112:  88%|████████▊ | 161/182 [03:13<00:25,  1.20s/it]
Epoch 48, training loss 0.112:  89%|████████▉ | 162/182 [03:14<00:24,  1.20s/it]
Epoch 48, training loss 0.111:  89%|████████▉ | 162/182 [03:15<00:24,  1.20s/it]
Epoch 48, training loss 0.111:  90%|████████▉ | 163/182 [03:15<00:22,  1.20s/it]
Epoch 48, training loss 0.111:  90%|████████▉ | 163/182 [03:16<00:22,  1.20s/it]
Epoch 48, training loss 0.111:  90%|█████████ | 164/182 [03:16<00:21,  1.20s/it]
Epoch 48, training loss 0.111:  90%|█████████ | 164/182 [03:17<00:21,  1.20s/it]
Epoch 48, training loss 0.111:  91%|█████████ | 165/182 [03:17<00:20,  1.20s/it]
Epoch 48, training loss 0.111:  91%|█████████ | 165/182 [03:18<00:20,  1.20s/it]
Epoch 48, training loss 0.111:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 48, training loss 0.111:  91%|█████████ | 166/182 [03:19<00:19,  1.20s/it]
Epoch 48, training loss 0.111:  92%|█████████▏| 167/182 [03:20<00:17,  1.20s/it]
Epoch 48, training loss 0.112:  92%|█████████▏| 167/182 [03:20<00:18,  1.20s/it]
Epoch 48, training loss 0.112:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 48, training loss 0.112:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 48, training loss 0.112:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 48, training loss 0.112:  93%|█████████▎| 169/182 [03:23<00:15,  1.20s/it]
Epoch 48, training loss 0.112:  93%|█████████▎| 170/182 [03:23<00:14,  1.20s/it]
Epoch 48, training loss 0.111:  93%|█████████▎| 170/182 [03:24<00:14,  1.20s/it]
Epoch 48, training loss 0.111:  94%|█████████▍| 171/182 [03:24<00:13,  1.20s/it]
Epoch 48, training loss 0.115:  94%|█████████▍| 171/182 [03:25<00:13,  1.20s/it]
Epoch 48, training loss 0.115:  95%|█████████▍| 172/182 [03:26<00:11,  1.20s/it]
Epoch 48, training loss 0.115:  95%|█████████▍| 172/182 [03:26<00:12,  1.20s/it]
Epoch 48, training loss 0.115:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 48, training loss 0.114:  95%|█████████▌| 173/182 [03:27<00:10,  1.20s/it]
Epoch 48, training loss 0.114:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 48, training loss 0.114:  96%|█████████▌| 174/182 [03:28<00:09,  1.20s/it]
Epoch 48, training loss 0.114:  96%|█████████▌| 175/182 [03:29<00:08,  1.20s/it]
Epoch 48, training loss 0.114:  96%|█████████▌| 175/182 [03:30<00:08,  1.20s/it]
Epoch 48, training loss 0.114:  97%|█████████▋| 176/182 [03:30<00:07,  1.20s/it]
Epoch 48, training loss 0.114:  97%|█████████▋| 176/182 [03:31<00:07,  1.20s/it]
Epoch 48, training loss 0.114:  97%|█████████▋| 177/182 [03:31<00:05,  1.20s/it]
Epoch 48, training loss 0.114:  97%|█████████▋| 177/182 [03:32<00:06,  1.20s/it]
Epoch 48, training loss 0.114:  98%|█████████▊| 178/182 [03:32<00:04,  1.20s/it]
Epoch 48, training loss 0.114:  98%|█████████▊| 178/182 [03:33<00:04,  1.20s/it]
Epoch 48, training loss 0.114:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 48, training loss 0.113:  98%|█████████▊| 179/182 [03:34<00:03,  1.20s/it]
Epoch 48, training loss 0.113:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 48, training loss 0.113:  99%|█████████▉| 180/182 [03:35<00:02,  1.20s/it]
Epoch 48, training loss 0.113:  99%|█████████▉| 181/182 [03:36<00:01,  1.20s/it]
Epoch 48, training loss 0.113:  99%|█████████▉| 181/182 [03:37<00:01,  1.20s/it]
Epoch 48, training loss 0.113: 100%|██████████| 182/182 [03:37<00:00,  1.20s/it]

  0%|          | 0/90 [00:00<?, ?it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.526:   0%|          | 0/90 [00:04<?, ?it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.526:   1%|          | 1/90 [00:04<06:50,  4.61s/it]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.683:   1%|          | 1/90 [00:05<07:32,  5.08s/it]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.683:   2%|▏         | 2/90 [00:05<03:43,  2.54s/it]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.796:   2%|▏         | 2/90 [00:05<04:02,  2.75s/it]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.796:   3%|▎         | 3/90 [00:05<02:39,  1.84s/it]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.846:   3%|▎         | 3/90 [00:05<02:53,  1.99s/it]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.846:   4%|▍         | 4/90 [00:05<02:08,  1.49s/it]
Epoch 48, validation pixAcc: 0.978, mIoU: 0.898:   4%|▍         | 4/90 [00:06<02:18,  1.61s/it]
Epoch 48, validation pixAcc: 0.978, mIoU: 0.898:   6%|▌         | 5/90 [00:06<01:49,  1.29s/it]
Epoch 48, validation pixAcc: 0.978, mIoU: 0.896:   6%|▌         | 5/90 [00:06<01:56,  1.37s/it]
Epoch 48, validation pixAcc: 0.978, mIoU: 0.896:   7%|▋         | 6/90 [00:06<01:36,  1.15s/it]
Epoch 48, validation pixAcc: 0.978, mIoU: 0.892:   7%|▋         | 6/90 [00:07<01:42,  1.22s/it]
Epoch 48, validation pixAcc: 0.978, mIoU: 0.892:   8%|▊         | 7/90 [00:07<01:26,  1.04s/it]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.895:   8%|▊         | 7/90 [00:07<01:31,  1.11s/it]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.895:   9%|▉         | 8/90 [00:07<01:19,  1.03it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.897:   9%|▉         | 8/90 [00:08<01:23,  1.02s/it]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.897:  10%|█         | 9/90 [00:08<01:13,  1.10it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.906:  10%|█         | 9/90 [00:08<01:17,  1.05it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.906:  11%|█         | 10/90 [00:08<01:08,  1.16it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.906:  11%|█         | 10/90 [00:09<01:12,  1.11it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.906:  12%|█▏        | 11/90 [00:09<01:04,  1.22it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.904:  12%|█▏        | 11/90 [00:09<01:08,  1.16it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.904:  13%|█▎        | 12/90 [00:09<01:01,  1.26it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.909:  13%|█▎        | 12/90 [00:09<01:04,  1.21it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.909:  14%|█▍        | 13/90 [00:09<00:58,  1.31it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.913:  14%|█▍        | 13/90 [00:10<01:01,  1.25it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.913:  16%|█▌        | 14/90 [00:10<00:56,  1.35it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.914:  16%|█▌        | 14/90 [00:10<00:58,  1.29it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.914:  17%|█▋        | 15/90 [00:10<00:54,  1.39it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.918:  17%|█▋        | 15/90 [00:11<00:56,  1.34it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.918:  18%|█▊        | 16/90 [00:11<00:51,  1.42it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.917:  18%|█▊        | 16/90 [00:11<00:53,  1.37it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.917:  19%|█▉        | 17/90 [00:11<00:49,  1.46it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.910:  19%|█▉        | 17/90 [00:12<00:51,  1.41it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.910:  20%|██        | 18/90 [00:12<00:48,  1.49it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.909:  20%|██        | 18/90 [00:12<00:49,  1.45it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.909:  21%|██        | 19/90 [00:12<00:46,  1.53it/s]
Epoch 48, validation pixAcc: 0.978, mIoU: 0.907:  21%|██        | 19/90 [00:12<00:48,  1.47it/s]
Epoch 48, validation pixAcc: 0.978, mIoU: 0.907:  22%|██▏       | 20/90 [00:12<00:45,  1.55it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.909:  22%|██▏       | 20/90 [00:13<00:46,  1.51it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.909:  23%|██▎       | 21/90 [00:13<00:43,  1.58it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.909:  23%|██▎       | 21/90 [00:13<00:45,  1.53it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.909:  24%|██▍       | 22/90 [00:13<00:42,  1.60it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.911:  24%|██▍       | 22/90 [00:14<00:43,  1.56it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.911:  26%|██▌       | 23/90 [00:14<00:41,  1.63it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.910:  26%|██▌       | 23/90 [00:14<00:42,  1.58it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.910:  27%|██▋       | 24/90 [00:14<00:40,  1.65it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.911:  27%|██▋       | 24/90 [00:15<00:41,  1.60it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.911:  28%|██▊       | 25/90 [00:15<00:39,  1.66it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.911:  28%|██▊       | 25/90 [00:15<00:40,  1.62it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.911:  29%|██▉       | 26/90 [00:15<00:38,  1.68it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.915:  29%|██▉       | 26/90 [00:15<00:39,  1.64it/s]
Epoch 48, validation pixAcc: 0.979, mIoU: 0.915:  30%|███       | 27/90 [00:15<00:37,  1.70it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.915:  30%|███       | 27/90 [00:16<00:38,  1.65it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.915:  31%|███       | 28/90 [00:16<00:36,  1.72it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.916:  31%|███       | 28/90 [00:16<00:36,  1.68it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.916:  32%|███▏      | 29/90 [00:16<00:35,  1.74it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.917:  32%|███▏      | 29/90 [00:17<00:35,  1.70it/s]
Epoch 48, validation pixAcc: 0.980, mIoU: 0.917:  33%|███▎      | 30/90 [00:17<00:34,  1.75it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.918:  33%|███▎      | 30/90 [00:17<00:35,  1.71it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.918:  34%|███▍      | 31/90 [00:17<00:33,  1.77it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.920:  34%|███▍      | 31/90 [00:17<00:34,  1.73it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.920:  36%|███▌      | 32/90 [00:17<00:32,  1.78it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.921:  36%|███▌      | 32/90 [00:18<00:33,  1.74it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.921:  37%|███▋      | 33/90 [00:18<00:31,  1.79it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.921:  37%|███▋      | 33/90 [00:18<00:32,  1.75it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.921:  38%|███▊      | 34/90 [00:18<00:30,  1.81it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.921:  38%|███▊      | 34/90 [00:19<00:31,  1.77it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.921:  39%|███▉      | 35/90 [00:19<00:30,  1.82it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.921:  39%|███▉      | 35/90 [00:19<00:30,  1.78it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.921:  40%|████      | 36/90 [00:19<00:29,  1.83it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.922:  40%|████      | 36/90 [00:20<00:30,  1.79it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.922:  41%|████      | 37/90 [00:20<00:28,  1.84it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.921:  41%|████      | 37/90 [00:20<00:29,  1.80it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.921:  42%|████▏     | 38/90 [00:20<00:28,  1.85it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.921:  42%|████▏     | 38/90 [00:20<00:28,  1.81it/s]
Epoch 48, validation pixAcc: 0.981, mIoU: 0.921:  43%|████▎     | 39/90 [00:20<00:27,  1.86it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.922:  43%|████▎     | 39/90 [00:21<00:27,  1.82it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.922:  44%|████▍     | 40/90 [00:21<00:26,  1.87it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.922:  44%|████▍     | 40/90 [00:21<00:27,  1.83it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.922:  46%|████▌     | 41/90 [00:21<00:26,  1.88it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.923:  46%|████▌     | 41/90 [00:22<00:26,  1.84it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.923:  47%|████▋     | 42/90 [00:22<00:25,  1.89it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.923:  47%|████▋     | 42/90 [00:22<00:25,  1.85it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.923:  48%|████▊     | 43/90 [00:22<00:24,  1.90it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.924:  48%|████▊     | 43/90 [00:23<00:25,  1.86it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.924:  49%|████▉     | 44/90 [00:23<00:24,  1.90it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.924:  49%|████▉     | 44/90 [00:23<00:24,  1.87it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.924:  50%|█████     | 45/90 [00:23<00:23,  1.91it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.924:  50%|█████     | 45/90 [00:23<00:23,  1.88it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.924:  51%|█████     | 46/90 [00:23<00:22,  1.92it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.924:  51%|█████     | 46/90 [00:24<00:23,  1.89it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.924:  52%|█████▏    | 47/90 [00:24<00:22,  1.93it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.924:  52%|█████▏    | 47/90 [00:24<00:22,  1.90it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.924:  53%|█████▎    | 48/90 [00:24<00:21,  1.94it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.923:  53%|█████▎    | 48/90 [00:25<00:22,  1.90it/s]
Epoch 48, validation pixAcc: 0.982, mIoU: 0.923:  54%|█████▍    | 49/90 [00:25<00:21,  1.94it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.924:  54%|█████▍    | 49/90 [00:25<00:21,  1.91it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.924:  56%|█████▌    | 50/90 [00:25<00:20,  1.95it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.925:  56%|█████▌    | 50/90 [00:26<00:20,  1.92it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.925:  57%|█████▋    | 51/90 [00:26<00:19,  1.96it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.925:  57%|█████▋    | 51/90 [00:26<00:20,  1.93it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.925:  58%|█████▊    | 52/90 [00:26<00:19,  1.97it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.924:  58%|█████▊    | 52/90 [00:26<00:19,  1.94it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.924:  59%|█████▉    | 53/90 [00:26<00:18,  1.97it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.924:  59%|█████▉    | 53/90 [00:27<00:19,  1.94it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.924:  60%|██████    | 54/90 [00:27<00:18,  1.98it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.924:  60%|██████    | 54/90 [00:27<00:18,  1.95it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.924:  61%|██████    | 55/90 [00:27<00:17,  1.99it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.925:  61%|██████    | 55/90 [00:28<00:17,  1.96it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.925:  62%|██████▏   | 56/90 [00:28<00:17,  1.99it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.925:  62%|██████▏   | 56/90 [00:28<00:17,  1.96it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.925:  63%|██████▎   | 57/90 [00:28<00:16,  2.00it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.925:  63%|██████▎   | 57/90 [00:28<00:16,  1.97it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.925:  64%|██████▍   | 58/90 [00:28<00:15,  2.00it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.924:  64%|██████▍   | 58/90 [00:29<00:16,  1.97it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.924:  66%|██████▌   | 59/90 [00:29<00:15,  2.01it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.925:  66%|██████▌   | 59/90 [00:29<00:15,  1.98it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.925:  67%|██████▋   | 60/90 [00:29<00:14,  2.01it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.925:  67%|██████▋   | 60/90 [00:30<00:15,  1.98it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.925:  68%|██████▊   | 61/90 [00:30<00:14,  2.01it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.926:  68%|██████▊   | 61/90 [00:30<00:14,  1.99it/s]
Epoch 48, validation pixAcc: 0.983, mIoU: 0.926:  69%|██████▉   | 62/90 [00:30<00:13,  2.02it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.926:  69%|██████▉   | 62/90 [00:31<00:14,  1.99it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.926:  70%|███████   | 63/90 [00:31<00:13,  2.02it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.926:  70%|███████   | 63/90 [00:31<00:13,  1.99it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.926:  71%|███████   | 64/90 [00:31<00:12,  2.02it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  71%|███████   | 64/90 [00:32<00:13,  2.00it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  72%|███████▏  | 65/90 [00:32<00:12,  2.03it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  72%|███████▏  | 65/90 [00:32<00:12,  2.00it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  73%|███████▎  | 66/90 [00:32<00:11,  2.03it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  73%|███████▎  | 66/90 [00:32<00:11,  2.00it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  74%|███████▍  | 67/90 [00:32<00:11,  2.03it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.926:  74%|███████▍  | 67/90 [00:33<00:11,  2.01it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.926:  76%|███████▌  | 68/90 [00:33<00:10,  2.04it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  76%|███████▌  | 68/90 [00:33<00:10,  2.01it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  77%|███████▋  | 69/90 [00:33<00:10,  2.04it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  77%|███████▋  | 69/90 [00:34<00:10,  2.02it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  78%|███████▊  | 70/90 [00:34<00:09,  2.05it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  78%|███████▊  | 70/90 [00:34<00:09,  2.02it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  79%|███████▉  | 71/90 [00:34<00:09,  2.05it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  79%|███████▉  | 71/90 [00:35<00:09,  2.02it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  80%|████████  | 72/90 [00:35<00:08,  2.05it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  80%|████████  | 72/90 [00:35<00:08,  2.03it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.927:  81%|████████  | 73/90 [00:35<00:08,  2.05it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.928:  81%|████████  | 73/90 [00:35<00:08,  2.03it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.928:  82%|████████▏ | 74/90 [00:35<00:07,  2.06it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.928:  82%|████████▏ | 74/90 [00:36<00:07,  2.03it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.928:  83%|████████▎ | 75/90 [00:36<00:07,  2.06it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.928:  83%|████████▎ | 75/90 [00:36<00:07,  2.04it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.928:  84%|████████▍ | 76/90 [00:36<00:06,  2.06it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.928:  84%|████████▍ | 76/90 [00:37<00:06,  2.04it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.928:  86%|████████▌ | 77/90 [00:37<00:06,  2.07it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.928:  86%|████████▌ | 77/90 [00:37<00:06,  2.05it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.928:  87%|████████▋ | 78/90 [00:37<00:05,  2.07it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.928:  87%|████████▋ | 78/90 [00:38<00:05,  2.05it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.928:  88%|████████▊ | 79/90 [00:38<00:05,  2.08it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  88%|████████▊ | 79/90 [00:38<00:05,  2.05it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  89%|████████▉ | 80/90 [00:38<00:04,  2.08it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  89%|████████▉ | 80/90 [00:38<00:04,  2.06it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  90%|█████████ | 81/90 [00:38<00:04,  2.08it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  90%|█████████ | 81/90 [00:39<00:04,  2.06it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  91%|█████████ | 82/90 [00:39<00:03,  2.09it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  91%|█████████ | 82/90 [00:39<00:03,  2.06it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  92%|█████████▏| 83/90 [00:39<00:03,  2.09it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  92%|█████████▏| 83/90 [00:40<00:03,  2.07it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  93%|█████████▎| 84/90 [00:40<00:02,  2.09it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.930:  93%|█████████▎| 84/90 [00:40<00:02,  2.07it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.930:  94%|█████████▍| 85/90 [00:40<00:02,  2.10it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  94%|█████████▍| 85/90 [00:40<00:02,  2.08it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  96%|█████████▌| 86/90 [00:40<00:01,  2.10it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  96%|█████████▌| 86/90 [00:41<00:01,  2.08it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  97%|█████████▋| 87/90 [00:41<00:01,  2.11it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  97%|█████████▋| 87/90 [00:41<00:01,  2.09it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  98%|█████████▊| 88/90 [00:41<00:00,  2.11it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  98%|█████████▊| 88/90 [00:42<00:00,  2.09it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  99%|█████████▉| 89/90 [00:42<00:00,  2.11it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929:  99%|█████████▉| 89/90 [00:42<00:00,  2.09it/s]
Epoch 48, validation pixAcc: 0.984, mIoU: 0.929: 100%|██████████| 90/90 [00:42<00:00,  2.12it/s]

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Epoch 49, training loss 0.246:   0%|          | 0/182 [00:04<?, ?it/s]
Epoch 49, training loss 0.246:   1%|          | 1/182 [00:05<16:28,  5.46s/it]
Epoch 49, training loss 0.260:   1%|          | 1/182 [00:06<18:35,  6.16s/it]
Epoch 49, training loss 0.260:   1%|          | 2/182 [00:06<10:01,  3.34s/it]
Epoch 49, training loss 0.184:   1%|          | 2/182 [00:07<10:55,  3.64s/it]
Epoch 49, training loss 0.184:   2%|▏         | 3/182 [00:07<07:45,  2.60s/it]
Epoch 49, training loss 0.156:   2%|▏         | 3/182 [00:08<08:23,  2.81s/it]
Epoch 49, training loss 0.156:   2%|▏         | 4/182 [00:08<06:37,  2.23s/it]
Epoch 49, training loss 0.208:   2%|▏         | 4/182 [00:09<07:06,  2.40s/it]
Epoch 49, training loss 0.208:   3%|▎         | 5/182 [00:10<05:56,  2.01s/it]
Epoch 49, training loss 0.251:   3%|▎         | 5/182 [00:10<06:21,  2.15s/it]
Epoch 49, training loss 0.251:   3%|▎         | 6/182 [00:11<05:30,  1.88s/it]
Epoch 49, training loss 0.219:   3%|▎         | 6/182 [00:12<05:52,  2.01s/it]
Epoch 49, training loss 0.219:   4%|▍         | 7/182 [00:12<05:13,  1.79s/it]
Epoch 49, training loss 0.199:   4%|▍         | 7/182 [00:13<05:29,  1.88s/it]
Epoch 49, training loss 0.199:   4%|▍         | 8/182 [00:13<04:57,  1.71s/it]
Epoch 49, training loss 0.193:   4%|▍         | 8/182 [00:14<05:11,  1.79s/it]
Epoch 49, training loss 0.193:   5%|▍         | 9/182 [00:14<04:44,  1.65s/it]
Epoch 49, training loss 0.180:   5%|▍         | 9/182 [00:15<04:57,  1.72s/it]
Epoch 49, training loss 0.180:   5%|▌         | 10/182 [00:15<04:34,  1.60s/it]
Epoch 49, training loss 0.169:   5%|▌         | 10/182 [00:16<04:46,  1.66s/it]
Epoch 49, training loss 0.169:   6%|▌         | 11/182 [00:17<04:26,  1.56s/it]
Epoch 49, training loss 0.180:   6%|▌         | 11/182 [00:17<04:35,  1.61s/it]
Epoch 49, training loss 0.180:   7%|▋         | 12/182 [00:18<04:18,  1.52s/it]
Epoch 49, training loss 0.173:   7%|▋         | 12/182 [00:18<04:27,  1.57s/it]
Epoch 49, training loss 0.173:   7%|▋         | 13/182 [00:19<04:11,  1.49s/it]
Epoch 49, training loss 0.164:   7%|▋         | 13/182 [00:19<04:19,  1.54s/it]
Epoch 49, training loss 0.164:   8%|▊         | 14/182 [00:20<04:06,  1.46s/it]
Epoch 49, training loss 0.159:   8%|▊         | 14/182 [00:21<04:13,  1.51s/it]
Epoch 49, training loss 0.159:   8%|▊         | 15/182 [00:21<04:01,  1.45s/it]
Epoch 49, training loss 0.154:   8%|▊         | 15/182 [00:22<04:09,  1.49s/it]
Epoch 49, training loss 0.154:   9%|▉         | 16/182 [00:22<03:57,  1.43s/it]
Epoch 49, training loss 0.153:   9%|▉         | 16/182 [00:23<04:05,  1.48s/it]
Epoch 49, training loss 0.153:   9%|▉         | 17/182 [00:24<03:54,  1.42s/it]
Epoch 49, training loss 0.148:   9%|▉         | 17/182 [00:24<04:00,  1.46s/it]
Epoch 49, training loss 0.148:  10%|▉         | 18/182 [00:25<03:50,  1.40s/it]
Epoch 49, training loss 0.144:  10%|▉         | 18/182 [00:25<03:56,  1.44s/it]
Epoch 49, training loss 0.144:  10%|█         | 19/182 [00:26<03:46,  1.39s/it]
Epoch 49, training loss 0.143:  10%|█         | 19/182 [00:27<03:51,  1.42s/it]
Epoch 49, training loss 0.143:  11%|█         | 20/182 [00:27<03:43,  1.38s/it]
Epoch 49, training loss 0.162:  11%|█         | 20/182 [00:28<03:48,  1.41s/it]
Epoch 49, training loss 0.162:  12%|█▏        | 21/182 [00:28<03:39,  1.37s/it]
Epoch 49, training loss 0.165:  12%|█▏        | 21/182 [00:29<03:44,  1.39s/it]
Epoch 49, training loss 0.165:  12%|█▏        | 22/182 [00:29<03:36,  1.35s/it]
Epoch 49, training loss 0.160:  12%|█▏        | 22/182 [00:30<03:40,  1.38s/it]
Epoch 49, training loss 0.160:  13%|█▎        | 23/182 [00:30<03:33,  1.34s/it]
Epoch 49, training loss 0.164:  13%|█▎        | 23/182 [00:31<03:38,  1.37s/it]
Epoch 49, training loss 0.164:  13%|█▎        | 24/182 [00:32<03:30,  1.33s/it]
Epoch 49, training loss 0.160:  13%|█▎        | 24/182 [00:32<03:35,  1.36s/it]
Epoch 49, training loss 0.160:  14%|█▎        | 25/182 [00:33<03:28,  1.33s/it]
Epoch 49, training loss 0.156:  14%|█▎        | 25/182 [00:33<03:32,  1.36s/it]
Epoch 49, training loss 0.156:  14%|█▍        | 26/182 [00:34<03:26,  1.32s/it]
Epoch 49, training loss 0.168:  14%|█▍        | 26/182 [00:35<03:30,  1.35s/it]
Epoch 49, training loss 0.168:  15%|█▍        | 27/182 [00:35<03:24,  1.32s/it]
Epoch 49, training loss 0.166:  15%|█▍        | 27/182 [00:36<03:28,  1.34s/it]
Epoch 49, training loss 0.166:  15%|█▌        | 28/182 [00:36<03:22,  1.31s/it]
Epoch 49, training loss 0.163:  15%|█▌        | 28/182 [00:37<03:25,  1.34s/it]
Epoch 49, training loss 0.163:  16%|█▌        | 29/182 [00:37<03:19,  1.31s/it]
Epoch 49, training loss 0.160:  16%|█▌        | 29/182 [00:38<03:23,  1.33s/it]
Epoch 49, training loss 0.160:  16%|█▋        | 30/182 [00:39<03:17,  1.30s/it]
Epoch 49, training loss 0.156:  16%|█▋        | 30/182 [00:39<03:21,  1.32s/it]
Epoch 49, training loss 0.156:  17%|█▋        | 31/182 [00:40<03:15,  1.30s/it]
Epoch 49, training loss 0.153:  17%|█▋        | 31/182 [00:40<03:18,  1.31s/it]
Epoch 49, training loss 0.153:  18%|█▊        | 32/182 [00:41<03:13,  1.29s/it]
Epoch 49, training loss 0.150:  18%|█▊        | 32/182 [00:41<03:15,  1.31s/it]
Epoch 49, training loss 0.150:  18%|█▊        | 33/182 [00:42<03:10,  1.28s/it]
Epoch 49, training loss 0.146:  18%|█▊        | 33/182 [00:42<03:13,  1.30s/it]
Epoch 49, training loss 0.146:  19%|█▊        | 34/182 [00:43<03:09,  1.28s/it]
Epoch 49, training loss 0.142:  19%|█▊        | 34/182 [00:44<03:11,  1.29s/it]
Epoch 49, training loss 0.142:  19%|█▉        | 35/182 [00:44<03:06,  1.27s/it]
Epoch 49, training loss 0.142:  19%|█▉        | 35/182 [00:45<03:10,  1.29s/it]
Epoch 49, training loss 0.142:  20%|█▉        | 36/182 [00:45<03:05,  1.27s/it]
Epoch 49, training loss 0.145:  20%|█▉        | 36/182 [00:46<03:08,  1.29s/it]
Epoch 49, training loss 0.145:  20%|██        | 37/182 [00:46<03:03,  1.27s/it]
Epoch 49, training loss 0.143:  20%|██        | 37/182 [00:47<03:06,  1.28s/it]
Epoch 49, training loss 0.143:  21%|██        | 38/182 [00:48<03:02,  1.26s/it]
Epoch 49, training loss 0.140:  21%|██        | 38/182 [00:48<03:04,  1.28s/it]
Epoch 49, training loss 0.140:  21%|██▏       | 39/182 [00:49<03:00,  1.26s/it]
Epoch 49, training loss 0.141:  21%|██▏       | 39/182 [00:49<03:02,  1.28s/it]
Epoch 49, training loss 0.141:  22%|██▏       | 40/182 [00:50<02:58,  1.26s/it]
Epoch 49, training loss 0.143:  22%|██▏       | 40/182 [00:50<03:00,  1.27s/it]
Epoch 49, training loss 0.143:  23%|██▎       | 41/182 [00:51<02:56,  1.26s/it]
Epoch 49, training loss 0.140:  23%|██▎       | 41/182 [00:52<02:59,  1.27s/it]
Epoch 49, training loss 0.140:  23%|██▎       | 42/182 [00:52<02:55,  1.25s/it]
Epoch 49, training loss 0.139:  23%|██▎       | 42/182 [00:53<02:57,  1.27s/it]
Epoch 49, training loss 0.139:  24%|██▎       | 43/182 [00:53<02:53,  1.25s/it]
Epoch 49, training loss 0.138:  24%|██▎       | 43/182 [00:54<02:55,  1.26s/it]
Epoch 49, training loss 0.138:  24%|██▍       | 44/182 [00:54<02:51,  1.25s/it]
Epoch 49, training loss 0.135:  24%|██▍       | 44/182 [00:55<02:53,  1.26s/it]
Epoch 49, training loss 0.135:  25%|██▍       | 45/182 [00:55<02:50,  1.24s/it]
Epoch 49, training loss 0.136:  25%|██▍       | 45/182 [00:56<02:52,  1.26s/it]
Epoch 49, training loss 0.136:  25%|██▌       | 46/182 [00:57<02:49,  1.24s/it]
Epoch 49, training loss 0.135:  25%|██▌       | 46/182 [00:57<02:51,  1.26s/it]
Epoch 49, training loss 0.135:  26%|██▌       | 47/182 [00:58<02:47,  1.24s/it]
Epoch 49, training loss 0.133:  26%|██▌       | 47/182 [00:59<02:49,  1.26s/it]
Epoch 49, training loss 0.133:  26%|██▋       | 48/182 [00:59<02:46,  1.24s/it]
Epoch 49, training loss 0.131:  26%|██▋       | 48/182 [01:00<02:48,  1.25s/it]
Epoch 49, training loss 0.131:  27%|██▋       | 49/182 [01:00<02:44,  1.24s/it]
Epoch 49, training loss 0.130:  27%|██▋       | 49/182 [01:01<02:46,  1.25s/it]
Epoch 49, training loss 0.130:  27%|██▋       | 50/182 [01:01<02:43,  1.24s/it]
Epoch 49, training loss 0.137:  27%|██▋       | 50/182 [01:02<02:45,  1.25s/it]
Epoch 49, training loss 0.137:  28%|██▊       | 51/182 [01:03<02:42,  1.24s/it]
Epoch 49, training loss 0.138:  28%|██▊       | 51/182 [01:03<02:43,  1.25s/it]
Epoch 49, training loss 0.138:  29%|██▊       | 52/182 [01:04<02:40,  1.24s/it]
Epoch 49, training loss 0.138:  29%|██▊       | 52/182 [01:04<02:42,  1.25s/it]
Epoch 49, training loss 0.138:  29%|██▉       | 53/182 [01:05<02:39,  1.24s/it]
Epoch 49, training loss 0.136:  29%|██▉       | 53/182 [01:06<02:40,  1.25s/it]
Epoch 49, training loss 0.136:  30%|██▉       | 54/182 [01:06<02:37,  1.23s/it]
Epoch 49, training loss 0.138:  30%|██▉       | 54/182 [01:07<02:39,  1.25s/it]
Epoch 49, training loss 0.138:  30%|███       | 55/182 [01:07<02:36,  1.23s/it]
Epoch 49, training loss 0.137:  30%|███       | 55/182 [01:08<02:38,  1.24s/it]
Epoch 49, training loss 0.137:  31%|███       | 56/182 [01:08<02:35,  1.23s/it]
Epoch 49, training loss 0.147:  31%|███       | 56/182 [01:09<02:36,  1.24s/it]
Epoch 49, training loss 0.147:  31%|███▏      | 57/182 [01:10<02:33,  1.23s/it]
Epoch 49, training loss 0.149:  31%|███▏      | 57/182 [01:10<02:35,  1.24s/it]
Epoch 49, training loss 0.149:  32%|███▏      | 58/182 [01:11<02:32,  1.23s/it]
Epoch 49, training loss 0.147:  32%|███▏      | 58/182 [01:12<02:34,  1.24s/it]
Epoch 49, training loss 0.147:  32%|███▏      | 59/182 [01:12<02:31,  1.23s/it]
Epoch 49, training loss 0.146:  32%|███▏      | 59/182 [01:13<02:32,  1.24s/it]
Epoch 49, training loss 0.146:  33%|███▎      | 60/182 [01:13<02:29,  1.23s/it]
Epoch 49, training loss 0.153:  33%|███▎      | 60/182 [01:14<02:31,  1.24s/it]
Epoch 49, training loss 0.153:  34%|███▎      | 61/182 [01:14<02:28,  1.23s/it]
Epoch 49, training loss 0.153:  34%|███▎      | 61/182 [01:15<02:29,  1.24s/it]
Epoch 49, training loss 0.153:  34%|███▍      | 62/182 [01:16<02:27,  1.23s/it]
Epoch 49, training loss 0.154:  34%|███▍      | 62/182 [01:16<02:28,  1.24s/it]
Epoch 49, training loss 0.154:  35%|███▍      | 63/182 [01:17<02:26,  1.23s/it]
Epoch 49, training loss 0.154:  35%|███▍      | 63/182 [01:18<02:27,  1.24s/it]
Epoch 49, training loss 0.154:  35%|███▌      | 64/182 [01:18<02:24,  1.23s/it]
Epoch 49, training loss 0.152:  35%|███▌      | 64/182 [01:19<02:26,  1.24s/it]
Epoch 49, training loss 0.152:  36%|███▌      | 65/182 [01:19<02:23,  1.23s/it]
Epoch 49, training loss 0.152:  36%|███▌      | 65/182 [01:20<02:24,  1.24s/it]
Epoch 49, training loss 0.152:  36%|███▋      | 66/182 [01:20<02:22,  1.23s/it]
Epoch 49, training loss 0.151:  36%|███▋      | 66/182 [01:21<02:23,  1.23s/it]
Epoch 49, training loss 0.151:  37%|███▋      | 67/182 [01:21<02:20,  1.22s/it]
Epoch 49, training loss 0.150:  37%|███▋      | 67/182 [01:22<02:21,  1.23s/it]
Epoch 49, training loss 0.150:  37%|███▋      | 68/182 [01:23<02:19,  1.22s/it]
Epoch 49, training loss 0.150:  37%|███▋      | 68/182 [01:23<02:20,  1.23s/it]
Epoch 49, training loss 0.150:  38%|███▊      | 69/182 [01:24<02:17,  1.22s/it]
Epoch 49, training loss 0.151:  38%|███▊      | 69/182 [01:25<02:19,  1.23s/it]
Epoch 49, training loss 0.151:  38%|███▊      | 70/182 [01:25<02:16,  1.22s/it]
Epoch 49, training loss 0.149:  38%|███▊      | 70/182 [01:26<02:17,  1.23s/it]
Epoch 49, training loss 0.149:  39%|███▉      | 71/182 [01:26<02:15,  1.22s/it]
Epoch 49, training loss 0.149:  39%|███▉      | 71/182 [01:27<02:16,  1.23s/it]
Epoch 49, training loss 0.149:  40%|███▉      | 72/182 [01:27<02:14,  1.22s/it]
Epoch 49, training loss 0.148:  40%|███▉      | 72/182 [01:28<02:15,  1.23s/it]
Epoch 49, training loss 0.148:  40%|████      | 73/182 [01:29<02:12,  1.22s/it]
Epoch 49, training loss 0.147:  40%|████      | 73/182 [01:29<02:13,  1.23s/it]
Epoch 49, training loss 0.147:  41%|████      | 74/182 [01:30<02:11,  1.22s/it]
Epoch 49, training loss 0.146:  41%|████      | 74/182 [01:30<02:12,  1.23s/it]
Epoch 49, training loss 0.146:  41%|████      | 75/182 [01:31<02:10,  1.22s/it]
Epoch 49, training loss 0.145:  41%|████      | 75/182 [01:32<02:11,  1.23s/it]
Epoch 49, training loss 0.145:  42%|████▏     | 76/182 [01:32<02:09,  1.22s/it]
Epoch 49, training loss 0.144:  42%|████▏     | 76/182 [01:33<02:10,  1.23s/it]
Epoch 49, training loss 0.144:  42%|████▏     | 77/182 [01:33<02:07,  1.22s/it]
Epoch 49, training loss 0.144:  42%|████▏     | 77/182 [01:34<02:08,  1.23s/it]
Epoch 49, training loss 0.144:  43%|████▎     | 78/182 [01:35<02:06,  1.22s/it]
Epoch 49, training loss 0.145:  43%|████▎     | 78/182 [01:35<02:07,  1.23s/it]
Epoch 49, training loss 0.145:  43%|████▎     | 79/182 [01:36<02:05,  1.22s/it]
Epoch 49, training loss 0.145:  43%|████▎     | 79/182 [01:36<02:06,  1.22s/it]
Epoch 49, training loss 0.145:  44%|████▍     | 80/182 [01:37<02:03,  1.22s/it]
Epoch 49, training loss 0.144:  44%|████▍     | 80/182 [01:37<02:04,  1.22s/it]
Epoch 49, training loss 0.144:  45%|████▍     | 81/182 [01:38<02:02,  1.21s/it]
Epoch 49, training loss 0.144:  45%|████▍     | 81/182 [01:39<02:03,  1.22s/it]
Epoch 49, training loss 0.144:  45%|████▌     | 82/182 [01:39<02:01,  1.21s/it]
Epoch 49, training loss 0.144:  45%|████▌     | 82/182 [01:40<02:02,  1.22s/it]
Epoch 49, training loss 0.144:  46%|████▌     | 83/182 [01:40<02:00,  1.21s/it]
Epoch 49, training loss 0.143:  46%|████▌     | 83/182 [01:41<02:01,  1.22s/it]
Epoch 49, training loss 0.143:  46%|████▌     | 84/182 [01:42<01:59,  1.21s/it]
Epoch 49, training loss 0.143:  46%|████▌     | 84/182 [01:42<01:59,  1.22s/it]
Epoch 49, training loss 0.143:  47%|████▋     | 85/182 [01:43<01:57,  1.22s/it]
Epoch 49, training loss 0.142:  47%|████▋     | 85/182 [01:43<01:58,  1.22s/it]
Epoch 49, training loss 0.142:  47%|████▋     | 86/182 [01:44<01:56,  1.21s/it]
Epoch 49, training loss 0.142:  47%|████▋     | 86/182 [01:45<01:57,  1.22s/it]
Epoch 49, training loss 0.142:  48%|████▊     | 87/182 [01:45<01:55,  1.21s/it]
Epoch 49, training loss 0.142:  48%|████▊     | 87/182 [01:46<01:55,  1.22s/it]
Epoch 49, training loss 0.142:  48%|████▊     | 88/182 [01:46<01:53,  1.21s/it]
Epoch 49, training loss 0.141:  48%|████▊     | 88/182 [01:47<01:54,  1.22s/it]
Epoch 49, training loss 0.141:  49%|████▉     | 89/182 [01:47<01:52,  1.21s/it]
Epoch 49, training loss 0.140:  49%|████▉     | 89/182 [01:48<01:53,  1.22s/it]
Epoch 49, training loss 0.140:  49%|████▉     | 90/182 [01:48<01:51,  1.21s/it]
Epoch 49, training loss 0.139:  49%|████▉     | 90/182 [01:49<01:51,  1.22s/it]
Epoch 49, training loss 0.139:  50%|█████     | 91/182 [01:50<01:50,  1.21s/it]
Epoch 49, training loss 0.139:  50%|█████     | 91/182 [01:50<01:50,  1.22s/it]
Epoch 49, training loss 0.139:  51%|█████     | 92/182 [01:51<01:48,  1.21s/it]
Epoch 49, training loss 0.138:  51%|█████     | 92/182 [01:51<01:49,  1.22s/it]
Epoch 49, training loss 0.138:  51%|█████     | 93/182 [01:52<01:47,  1.21s/it]
Epoch 49, training loss 0.137:  51%|█████     | 93/182 [01:53<01:48,  1.22s/it]
Epoch 49, training loss 0.137:  52%|█████▏    | 94/182 [01:53<01:46,  1.21s/it]
Epoch 49, training loss 0.136:  52%|█████▏    | 94/182 [01:54<01:46,  1.22s/it]
Epoch 49, training loss 0.136:  52%|█████▏    | 95/182 [01:54<01:45,  1.21s/it]
Epoch 49, training loss 0.135:  52%|█████▏    | 95/182 [01:55<01:45,  1.21s/it]
Epoch 49, training loss 0.135:  53%|█████▎    | 96/182 [01:55<01:43,  1.21s/it]
Epoch 49, training loss 0.134:  53%|█████▎    | 96/182 [01:56<01:44,  1.22s/it]
Epoch 49, training loss 0.134:  53%|█████▎    | 97/182 [01:57<01:42,  1.21s/it]
Epoch 49, training loss 0.134:  53%|█████▎    | 97/182 [01:57<01:43,  1.21s/it]
Epoch 49, training loss 0.134:  54%|█████▍    | 98/182 [01:58<01:41,  1.21s/it]
Epoch 49, training loss 0.134:  54%|█████▍    | 98/182 [01:58<01:41,  1.21s/it]
Epoch 49, training loss 0.134:  54%|█████▍    | 99/182 [01:59<01:40,  1.21s/it]
Epoch 49, training loss 0.133:  54%|█████▍    | 99/182 [01:59<01:40,  1.21s/it]
Epoch 49, training loss 0.133:  55%|█████▍    | 100/182 [02:00<01:38,  1.20s/it]
Epoch 49, training loss 0.132:  55%|█████▍    | 100/182 [02:01<01:39,  1.21s/it]
Epoch 49, training loss 0.132:  55%|█████▌    | 101/182 [02:01<01:37,  1.20s/it]
Epoch 49, training loss 0.132:  55%|█████▌    | 101/182 [02:02<01:38,  1.21s/it]
Epoch 49, training loss 0.132:  56%|█████▌    | 102/182 [02:02<01:36,  1.20s/it]
Epoch 49, training loss 0.132:  56%|█████▌    | 102/182 [02:03<01:36,  1.21s/it]
Epoch 49, training loss 0.132:  57%|█████▋    | 103/182 [02:04<01:35,  1.20s/it]
Epoch 49, training loss 0.131:  57%|█████▋    | 103/182 [02:04<01:35,  1.21s/it]
Epoch 49, training loss 0.131:  57%|█████▋    | 104/182 [02:05<01:33,  1.20s/it]
Epoch 49, training loss 0.130:  57%|█████▋    | 104/182 [02:05<01:34,  1.21s/it]
Epoch 49, training loss 0.130:  58%|█████▊    | 105/182 [02:06<01:32,  1.20s/it]
Epoch 49, training loss 0.131:  58%|█████▊    | 105/182 [02:07<01:33,  1.21s/it]
Epoch 49, training loss 0.131:  58%|█████▊    | 106/182 [02:07<01:31,  1.21s/it]
Epoch 49, training loss 0.130:  58%|█████▊    | 106/182 [02:08<01:32,  1.21s/it]
Epoch 49, training loss 0.130:  59%|█████▉    | 107/182 [02:08<01:30,  1.21s/it]
Epoch 49, training loss 0.129:  59%|█████▉    | 107/182 [02:09<01:30,  1.21s/it]
Epoch 49, training loss 0.129:  59%|█████▉    | 108/182 [02:10<01:29,  1.20s/it]
Epoch 49, training loss 0.128:  59%|█████▉    | 108/182 [02:10<01:29,  1.21s/it]
Epoch 49, training loss 0.128:  60%|█████▉    | 109/182 [02:11<01:27,  1.20s/it]
Epoch 49, training loss 0.127:  60%|█████▉    | 109/182 [02:12<01:28,  1.21s/it]
Epoch 49, training loss 0.127:  60%|██████    | 110/182 [02:12<01:26,  1.20s/it]
Epoch 49, training loss 0.127:  60%|██████    | 110/182 [02:13<01:27,  1.21s/it]
Epoch 49, training loss 0.127:  61%|██████    | 111/182 [02:13<01:25,  1.21s/it]
Epoch 49, training loss 0.127:  61%|██████    | 111/182 [02:14<01:25,  1.21s/it]
Epoch 49, training loss 0.127:  62%|██████▏   | 112/182 [02:14<01:24,  1.20s/it]
Epoch 49, training loss 0.127:  62%|██████▏   | 112/182 [02:15<01:24,  1.21s/it]
Epoch 49, training loss 0.127:  62%|██████▏   | 113/182 [02:16<01:23,  1.20s/it]
Epoch 49, training loss 0.126:  62%|██████▏   | 113/182 [02:16<01:23,  1.21s/it]
Epoch 49, training loss 0.126:  63%|██████▎   | 114/182 [02:17<01:21,  1.20s/it]
Epoch 49, training loss 0.126:  63%|██████▎   | 114/182 [02:17<01:22,  1.21s/it]
Epoch 49, training loss 0.126:  63%|██████▎   | 115/182 [02:18<01:20,  1.20s/it]
Epoch 49, training loss 0.125:  63%|██████▎   | 115/182 [02:18<01:20,  1.21s/it]
Epoch 49, training loss 0.125:  64%|██████▎   | 116/182 [02:19<01:19,  1.20s/it]
Epoch 49, training loss 0.127:  64%|██████▎   | 116/182 [02:19<01:19,  1.21s/it]
Epoch 49, training loss 0.127:  64%|██████▍   | 117/182 [02:20<01:18,  1.20s/it]
Epoch 49, training loss 0.126:  64%|██████▍   | 117/182 [02:21<01:18,  1.21s/it]
Epoch 49, training loss 0.126:  65%|██████▍   | 118/182 [02:21<01:16,  1.20s/it]
Epoch 49, training loss 0.126:  65%|██████▍   | 118/182 [02:22<01:17,  1.21s/it]
Epoch 49, training loss 0.126:  65%|██████▌   | 119/182 [02:22<01:15,  1.20s/it]
Epoch 49, training loss 0.126:  65%|██████▌   | 119/182 [02:23<01:15,  1.21s/it]
Epoch 49, training loss 0.126:  66%|██████▌   | 120/182 [02:24<01:14,  1.20s/it]
Epoch 49, training loss 0.125:  66%|██████▌   | 120/182 [02:24<01:14,  1.21s/it]
Epoch 49, training loss 0.125:  66%|██████▋   | 121/182 [02:25<01:13,  1.20s/it]
Epoch 49, training loss 0.125:  66%|██████▋   | 121/182 [02:25<01:13,  1.21s/it]
Epoch 49, training loss 0.125:  67%|██████▋   | 122/182 [02:26<01:12,  1.20s/it]
Epoch 49, training loss 0.126:  67%|██████▋   | 122/182 [02:27<01:12,  1.21s/it]
Epoch 49, training loss 0.126:  68%|██████▊   | 123/182 [02:27<01:10,  1.20s/it]
Epoch 49, training loss 0.127:  68%|██████▊   | 123/182 [02:28<01:11,  1.21s/it]
Epoch 49, training loss 0.127:  68%|██████▊   | 124/182 [02:28<01:09,  1.20s/it]
Epoch 49, training loss 0.127:  68%|██████▊   | 124/182 [02:29<01:09,  1.21s/it]
Epoch 49, training loss 0.127:  69%|██████▊   | 125/182 [02:30<01:08,  1.20s/it]
Epoch 49, training loss 0.126:  69%|██████▊   | 125/182 [02:30<01:08,  1.21s/it]
Epoch 49, training loss 0.126:  69%|██████▉   | 126/182 [02:31<01:07,  1.20s/it]
Epoch 49, training loss 0.126:  69%|██████▉   | 126/182 [02:31<01:07,  1.21s/it]
Epoch 49, training loss 0.126:  70%|██████▉   | 127/182 [02:32<01:05,  1.20s/it]
Epoch 49, training loss 0.126:  70%|██████▉   | 127/182 [02:33<01:06,  1.21s/it]
Epoch 49, training loss 0.126:  70%|███████   | 128/182 [02:33<01:04,  1.20s/it]
Epoch 49, training loss 0.126:  70%|███████   | 128/182 [02:34<01:05,  1.20s/it]
Epoch 49, training loss 0.126:  71%|███████   | 129/182 [02:34<01:03,  1.20s/it]
Epoch 49, training loss 0.126:  71%|███████   | 129/182 [02:35<01:03,  1.20s/it]
Epoch 49, training loss 0.126:  71%|███████▏  | 130/182 [02:35<01:02,  1.20s/it]
Epoch 49, training loss 0.125:  71%|███████▏  | 130/182 [02:36<01:02,  1.20s/it]
Epoch 49, training loss 0.125:  72%|███████▏  | 131/182 [02:37<01:01,  1.20s/it]
Epoch 49, training loss 0.125:  72%|███████▏  | 131/182 [02:37<01:01,  1.20s/it]
Epoch 49, training loss 0.125:  73%|███████▎  | 132/182 [02:38<00:59,  1.20s/it]
Epoch 49, training loss 0.124:  73%|███████▎  | 132/182 [02:38<01:00,  1.20s/it]
Epoch 49, training loss 0.124:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 49, training loss 0.124:  73%|███████▎  | 133/182 [02:39<00:58,  1.20s/it]
Epoch 49, training loss 0.124:  74%|███████▎  | 134/182 [02:40<00:57,  1.20s/it]
Epoch 49, training loss 0.124:  74%|███████▎  | 134/182 [02:41<00:57,  1.20s/it]
Epoch 49, training loss 0.124:  74%|███████▍  | 135/182 [02:41<00:56,  1.20s/it]
Epoch 49, training loss 0.125:  74%|███████▍  | 135/182 [02:42<00:56,  1.20s/it]
Epoch 49, training loss 0.125:  75%|███████▍  | 136/182 [02:42<00:55,  1.20s/it]
Epoch 49, training loss 0.124:  75%|███████▍  | 136/182 [02:43<00:55,  1.20s/it]
Epoch 49, training loss 0.124:  75%|███████▌  | 137/182 [02:44<00:53,  1.20s/it]
Epoch 49, training loss 0.130:  75%|███████▌  | 137/182 [02:44<00:54,  1.20s/it]
Epoch 49, training loss 0.130:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 49, training loss 0.130:  76%|███████▌  | 138/182 [02:45<00:52,  1.20s/it]
Epoch 49, training loss 0.130:  76%|███████▋  | 139/182 [02:46<00:51,  1.20s/it]
Epoch 49, training loss 0.130:  76%|███████▋  | 139/182 [02:47<00:51,  1.20s/it]
Epoch 49, training loss 0.130:  77%|███████▋  | 140/182 [02:47<00:50,  1.20s/it]
Epoch 49, training loss 0.130:  77%|███████▋  | 140/182 [02:48<00:50,  1.20s/it]
Epoch 49, training loss 0.130:  77%|███████▋  | 141/182 [02:48<00:49,  1.20s/it]
Epoch 49, training loss 0.129:  77%|███████▋  | 141/182 [02:49<00:49,  1.20s/it]
Epoch 49, training loss 0.129:  78%|███████▊  | 142/182 [02:49<00:47,  1.20s/it]
Epoch 49, training loss 0.129:  78%|███████▊  | 142/182 [02:50<00:48,  1.20s/it]
Epoch 49, training loss 0.129:  79%|███████▊  | 143/182 [02:51<00:46,  1.20s/it]
Epoch 49, training loss 0.129:  79%|███████▊  | 143/182 [02:51<00:46,  1.20s/it]
Epoch 49, training loss 0.129:  79%|███████▉  | 144/182 [02:52<00:45,  1.20s/it]
Epoch 49, training loss 0.128:  79%|███████▉  | 144/182 [02:53<00:45,  1.20s/it]
Epoch 49, training loss 0.128:  80%|███████▉  | 145/182 [02:53<00:44,  1.20s/it]
Epoch 49, training loss 0.127:  80%|███████▉  | 145/182 [02:54<00:44,  1.20s/it]
Epoch 49, training loss 0.127:  80%|████████  | 146/182 [02:54<00:43,  1.20s/it]
Epoch 49, training loss 0.127:  80%|████████  | 146/182 [02:55<00:43,  1.20s/it]
Epoch 49, training loss 0.127:  81%|████████  | 147/182 [02:55<00:41,  1.20s/it]
Epoch 49, training loss 0.127:  81%|████████  | 147/182 [02:56<00:42,  1.20s/it]
Epoch 49, training loss 0.127:  81%|████████▏ | 148/182 [02:56<00:40,  1.20s/it]
Epoch 49, training loss 0.127:  81%|████████▏ | 148/182 [02:57<00:40,  1.20s/it]
Epoch 49, training loss 0.127:  82%|████████▏ | 149/182 [02:58<00:39,  1.20s/it]
Epoch 49, training loss 0.126:  82%|████████▏ | 149/182 [02:58<00:39,  1.20s/it]
Epoch 49, training loss 0.126:  82%|████████▏ | 150/182 [02:59<00:38,  1.20s/it]
Epoch 49, training loss 0.125:  82%|████████▏ | 150/182 [03:00<00:38,  1.20s/it]
Epoch 49, training loss 0.125:  83%|████████▎ | 151/182 [03:00<00:37,  1.20s/it]
Epoch 49, training loss 0.125:  83%|████████▎ | 151/182 [03:01<00:37,  1.20s/it]
Epoch 49, training loss 0.125:  84%|████████▎ | 152/182 [03:01<00:35,  1.20s/it]
Epoch 49, training loss 0.125:  84%|████████▎ | 152/182 [03:02<00:35,  1.20s/it]
Epoch 49, training loss 0.125:  84%|████████▍ | 153/182 [03:02<00:34,  1.19s/it]
Epoch 49, training loss 0.126:  84%|████████▍ | 153/182 [03:03<00:34,  1.20s/it]
Epoch 49, training loss 0.126:  85%|████████▍ | 154/182 [03:03<00:33,  1.19s/it]
Epoch 49, training loss 0.125:  85%|████████▍ | 154/182 [03:04<00:33,  1.20s/it]
Epoch 49, training loss 0.125:  85%|████████▌ | 155/182 [03:05<00:32,  1.19s/it]
Epoch 49, training loss 0.125:  85%|████████▌ | 155/182 [03:05<00:32,  1.20s/it]
Epoch 49, training loss 0.125:  86%|████████▌ | 156/182 [03:06<00:31,  1.19s/it]
Epoch 49, training loss 0.125:  86%|████████▌ | 156/182 [03:06<00:31,  1.20s/it]
Epoch 49, training loss 0.125:  86%|████████▋ | 157/182 [03:07<00:29,  1.19s/it]
Epoch 49, training loss 0.125:  86%|████████▋ | 157/182 [03:08<00:29,  1.20s/it]
Epoch 49, training loss 0.125:  87%|████████▋ | 158/182 [03:08<00:28,  1.19s/it]
Epoch 49, training loss 0.124:  87%|████████▋ | 158/182 [03:09<00:28,  1.20s/it]
Epoch 49, training loss 0.124:  87%|████████▋ | 159/182 [03:09<00:27,  1.19s/it]
Epoch 49, training loss 0.124:  87%|████████▋ | 159/182 [03:10<00:27,  1.20s/it]
Epoch 49, training loss 0.124:  88%|████████▊ | 160/182 [03:10<00:26,  1.19s/it]
Epoch 49, training loss 0.123:  88%|████████▊ | 160/182 [03:11<00:26,  1.20s/it]
Epoch 49, training loss 0.123:  88%|████████▊ | 161/182 [03:12<00:25,  1.19s/it]
Epoch 49, training loss 0.123:  88%|████████▊ | 161/182 [03:12<00:25,  1.20s/it]
Epoch 49, training loss 0.123:  89%|████████▉ | 162/182 [03:13<00:23,  1.19s/it]
Epoch 49, training loss 0.124:  89%|████████▉ | 162/182 [03:13<00:23,  1.20s/it]
Epoch 49, training loss 0.124:  90%|████████▉ | 163/182 [03:14<00:22,  1.19s/it]
Epoch 49, training loss 0.123:  90%|████████▉ | 163/182 [03:14<00:22,  1.20s/it]
Epoch 49, training loss 0.123:  90%|█████████ | 164/182 [03:15<00:21,  1.19s/it]
Epoch 49, training loss 0.124:  90%|█████████ | 164/182 [03:16<00:21,  1.20s/it]
Epoch 49, training loss 0.124:  91%|█████████ | 165/182 [03:16<00:20,  1.19s/it]
Epoch 49, training loss 0.123:  91%|█████████ | 165/182 [03:17<00:20,  1.20s/it]
Epoch 49, training loss 0.123:  91%|█████████ | 166/182 [03:17<00:19,  1.19s/it]
Epoch 49, training loss 0.123:  91%|█████████ | 166/182 [03:18<00:19,  1.20s/it]
Epoch 49, training loss 0.123:  92%|█████████▏| 167/182 [03:19<00:17,  1.19s/it]
Epoch 49, training loss 0.123:  92%|█████████▏| 167/182 [03:19<00:17,  1.20s/it]
Epoch 49, training loss 0.123:  92%|█████████▏| 168/182 [03:20<00:16,  1.19s/it]
Epoch 49, training loss 0.123:  92%|█████████▏| 168/182 [03:21<00:16,  1.20s/it]
Epoch 49, training loss 0.123:  93%|█████████▎| 169/182 [03:21<00:15,  1.19s/it]
Epoch 49, training loss 0.123:  93%|█████████▎| 169/182 [03:22<00:15,  1.20s/it]
Epoch 49, training loss 0.123:  93%|█████████▎| 170/182 [03:22<00:14,  1.19s/it]
Epoch 49, training loss 0.123:  93%|█████████▎| 170/182 [03:23<00:14,  1.20s/it]
Epoch 49, training loss 0.123:  94%|█████████▍| 171/182 [03:23<00:13,  1.19s/it]
Epoch 49, training loss 0.123:  94%|█████████▍| 171/182 [03:24<00:13,  1.20s/it]
Epoch 49, training loss 0.123:  95%|█████████▍| 172/182 [03:24<00:11,  1.19s/it]
Epoch 49, training loss 0.123:  95%|█████████▍| 172/182 [03:25<00:11,  1.20s/it]
Epoch 49, training loss 0.123:  95%|█████████▌| 173/182 [03:26<00:10,  1.19s/it]
Epoch 49, training loss 0.123:  95%|█████████▌| 173/182 [03:26<00:10,  1.20s/it]
Epoch 49, training loss 0.123:  96%|█████████▌| 174/182 [03:27<00:09,  1.19s/it]
Epoch 49, training loss 0.123:  96%|█████████▌| 174/182 [03:27<00:09,  1.20s/it]
Epoch 49, training loss 0.123:  96%|█████████▌| 175/182 [03:28<00:08,  1.19s/it]
Epoch 49, training loss 0.122:  96%|█████████▌| 175/182 [03:29<00:08,  1.19s/it]
Epoch 49, training loss 0.122:  97%|█████████▋| 176/182 [03:29<00:07,  1.19s/it]
Epoch 49, training loss 0.122:  97%|█████████▋| 176/182 [03:30<00:07,  1.19s/it]
Epoch 49, training loss 0.122:  97%|█████████▋| 177/182 [03:30<00:05,  1.19s/it]
Epoch 49, training loss 0.122:  97%|█████████▋| 177/182 [03:31<00:05,  1.19s/it]
Epoch 49, training loss 0.122:  98%|█████████▊| 178/182 [03:31<00:04,  1.19s/it]
Epoch 49, training loss 0.123:  98%|█████████▊| 178/182 [03:32<00:04,  1.19s/it]
Epoch 49, training loss 0.123:  98%|█████████▊| 179/182 [03:32<00:03,  1.19s/it]
Epoch 49, training loss 0.123:  98%|█████████▊| 179/182 [03:33<00:03,  1.19s/it]
Epoch 49, training loss 0.123:  99%|█████████▉| 180/182 [03:33<00:02,  1.19s/it]
Epoch 49, training loss 0.123:  99%|█████████▉| 180/182 [03:34<00:02,  1.19s/it]
Epoch 49, training loss 0.123:  99%|█████████▉| 181/182 [03:35<00:01,  1.19s/it]
Epoch 49, training loss 0.122:  99%|█████████▉| 181/182 [03:35<00:01,  1.19s/it]
Epoch 49, training loss 0.122: 100%|██████████| 182/182 [03:36<00:00,  1.19s/it]

  0%|          | 0/91 [00:00<?, ?it/s]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.605:   0%|          | 0/91 [00:04<?, ?it/s]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.605:   1%|          | 1/91 [00:04<07:24,  4.94s/it]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.751:   1%|          | 1/91 [00:05<08:07,  5.42s/it]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.751:   2%|▏         | 2/91 [00:05<04:01,  2.71s/it]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.778:   2%|▏         | 2/91 [00:05<04:20,  2.92s/it]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.778:   3%|▎         | 3/91 [00:05<02:51,  1.95s/it]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.797:   3%|▎         | 3/91 [00:06<03:04,  2.10s/it]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.797:   4%|▍         | 4/91 [00:06<02:16,  1.57s/it]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.901:   4%|▍         | 4/91 [00:06<02:25,  1.68s/it]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.901:   5%|▌         | 5/91 [00:06<01:55,  1.34s/it]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.897:   5%|▌         | 5/91 [00:07<02:02,  1.42s/it]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.897:   7%|▋         | 6/91 [00:07<01:40,  1.18s/it]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.898:   7%|▋         | 6/91 [00:07<01:46,  1.25s/it]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.898:   8%|▊         | 7/91 [00:07<01:30,  1.07s/it]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.898:   8%|▊         | 7/91 [00:07<01:35,  1.14s/it]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.898:   9%|▉         | 8/91 [00:07<01:22,  1.00it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.899:   9%|▉         | 8/91 [00:08<01:27,  1.05s/it]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.899:  10%|▉         | 9/91 [00:08<01:16,  1.07it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.909:  10%|▉         | 9/91 [00:08<01:20,  1.02it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.909:  11%|█         | 10/91 [00:08<01:11,  1.13it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.907:  11%|█         | 10/91 [00:09<01:14,  1.08it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.907:  12%|█▏        | 11/91 [00:09<01:07,  1.19it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.907:  12%|█▏        | 11/91 [00:09<01:10,  1.14it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.907:  13%|█▎        | 12/91 [00:09<01:03,  1.24it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.905:  13%|█▎        | 12/91 [00:10<01:06,  1.19it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.905:  14%|█▍        | 13/91 [00:10<01:00,  1.29it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.914:  14%|█▍        | 13/91 [00:10<01:03,  1.23it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.914:  15%|█▌        | 14/91 [00:10<00:58,  1.33it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.913:  15%|█▌        | 14/91 [00:10<01:00,  1.28it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.913:  16%|█▋        | 15/91 [00:10<00:55,  1.37it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.919:  16%|█▋        | 15/91 [00:11<00:57,  1.32it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.919:  18%|█▊        | 16/91 [00:11<00:53,  1.41it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.918:  18%|█▊        | 16/91 [00:11<00:55,  1.36it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.918:  19%|█▊        | 17/91 [00:11<00:51,  1.44it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.916:  19%|█▊        | 17/91 [00:12<00:53,  1.40it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.916:  20%|█▉        | 18/91 [00:12<00:49,  1.48it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.911:  20%|█▉        | 18/91 [00:12<00:51,  1.43it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.911:  21%|██        | 19/91 [00:12<00:47,  1.51it/s]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.907:  21%|██        | 19/91 [00:13<00:49,  1.46it/s]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.907:  22%|██▏       | 20/91 [00:13<00:46,  1.54it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.909:  22%|██▏       | 20/91 [00:13<00:47,  1.49it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.909:  23%|██▎       | 21/91 [00:13<00:44,  1.56it/s]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.907:  23%|██▎       | 21/91 [00:13<00:46,  1.51it/s]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.907:  24%|██▍       | 22/91 [00:13<00:43,  1.59it/s]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.909:  24%|██▍       | 22/91 [00:14<00:44,  1.54it/s]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.909:  25%|██▌       | 23/91 [00:14<00:42,  1.60it/s]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.909:  25%|██▌       | 23/91 [00:14<00:43,  1.56it/s]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.909:  26%|██▋       | 24/91 [00:14<00:41,  1.63it/s]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.908:  26%|██▋       | 24/91 [00:15<00:42,  1.58it/s]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.908:  27%|██▋       | 25/91 [00:15<00:40,  1.64it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.910:  27%|██▋       | 25/91 [00:15<00:41,  1.60it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.910:  29%|██▊       | 26/91 [00:15<00:39,  1.66it/s]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.911:  29%|██▊       | 26/91 [00:16<00:40,  1.62it/s]
Epoch 49, validation pixAcc: 0.978, mIoU: 0.911:  30%|██▉       | 27/91 [00:16<00:38,  1.68it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.914:  30%|██▉       | 27/91 [00:16<00:39,  1.63it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.914:  31%|███       | 28/91 [00:16<00:37,  1.69it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.914:  31%|███       | 28/91 [00:16<00:38,  1.65it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.914:  32%|███▏      | 29/91 [00:16<00:36,  1.71it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.915:  32%|███▏      | 29/91 [00:17<00:37,  1.67it/s]
Epoch 49, validation pixAcc: 0.979, mIoU: 0.915:  33%|███▎      | 30/91 [00:17<00:35,  1.72it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.917:  33%|███▎      | 30/91 [00:17<00:36,  1.68it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.917:  34%|███▍      | 31/91 [00:17<00:34,  1.74it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.917:  34%|███▍      | 31/91 [00:18<00:35,  1.70it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.917:  35%|███▌      | 32/91 [00:18<00:33,  1.75it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.919:  35%|███▌      | 32/91 [00:18<00:34,  1.71it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.919:  36%|███▋      | 33/91 [00:18<00:32,  1.76it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.919:  36%|███▋      | 33/91 [00:19<00:33,  1.72it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.919:  37%|███▋      | 34/91 [00:19<00:32,  1.78it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.919:  37%|███▋      | 34/91 [00:19<00:32,  1.74it/s]
Epoch 49, validation pixAcc: 0.980, mIoU: 0.919:  38%|███▊      | 35/91 [00:19<00:31,  1.79it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.919:  38%|███▊      | 35/91 [00:19<00:31,  1.75it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.919:  40%|███▉      | 36/91 [00:19<00:30,  1.80it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.919:  40%|███▉      | 36/91 [00:20<00:31,  1.77it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.919:  41%|████      | 37/91 [00:20<00:29,  1.82it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.919:  41%|████      | 37/91 [00:20<00:30,  1.78it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.919:  42%|████▏     | 38/91 [00:20<00:28,  1.83it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.920:  42%|████▏     | 38/91 [00:21<00:29,  1.79it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.920:  43%|████▎     | 39/91 [00:21<00:28,  1.84it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.921:  43%|████▎     | 39/91 [00:21<00:28,  1.80it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.921:  44%|████▍     | 40/91 [00:21<00:27,  1.85it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.921:  44%|████▍     | 40/91 [00:22<00:28,  1.81it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.921:  45%|████▌     | 41/91 [00:22<00:26,  1.86it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.921:  45%|████▌     | 41/91 [00:22<00:27,  1.82it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.921:  46%|████▌     | 42/91 [00:22<00:26,  1.87it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.922:  46%|████▌     | 42/91 [00:22<00:26,  1.83it/s]
Epoch 49, validation pixAcc: 0.981, mIoU: 0.922:  47%|████▋     | 43/91 [00:22<00:25,  1.87it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.922:  47%|████▋     | 43/91 [00:23<00:26,  1.84it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.922:  48%|████▊     | 44/91 [00:23<00:24,  1.88it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  48%|████▊     | 44/91 [00:23<00:25,  1.85it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  49%|████▉     | 45/91 [00:23<00:24,  1.89it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  49%|████▉     | 45/91 [00:24<00:24,  1.86it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  51%|█████     | 46/91 [00:24<00:23,  1.90it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  51%|█████     | 46/91 [00:24<00:24,  1.86it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  52%|█████▏    | 47/91 [00:24<00:23,  1.90it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  52%|█████▏    | 47/91 [00:25<00:23,  1.87it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  53%|█████▎    | 48/91 [00:25<00:22,  1.91it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.922:  53%|█████▎    | 48/91 [00:25<00:22,  1.88it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.922:  54%|█████▍    | 49/91 [00:25<00:21,  1.92it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  54%|█████▍    | 49/91 [00:25<00:22,  1.89it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  55%|█████▍    | 50/91 [00:25<00:21,  1.92it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  55%|█████▍    | 50/91 [00:26<00:21,  1.89it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  56%|█████▌    | 51/91 [00:26<00:20,  1.93it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.924:  56%|█████▌    | 51/91 [00:26<00:21,  1.90it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.924:  57%|█████▋    | 52/91 [00:26<00:20,  1.94it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  57%|█████▋    | 52/91 [00:27<00:20,  1.91it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  58%|█████▊    | 53/91 [00:27<00:19,  1.94it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  58%|█████▊    | 53/91 [00:27<00:19,  1.91it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  59%|█████▉    | 54/91 [00:27<00:19,  1.95it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  59%|█████▉    | 54/91 [00:28<00:19,  1.92it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  60%|██████    | 55/91 [00:28<00:18,  1.95it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  60%|██████    | 55/91 [00:28<00:18,  1.92it/s]
Epoch 49, validation pixAcc: 0.982, mIoU: 0.923:  62%|██████▏   | 56/91 [00:28<00:17,  1.96it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.923:  62%|██████▏   | 56/91 [00:29<00:18,  1.93it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/91 [00:29<00:17,  1.96it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.923:  63%|██████▎   | 57/91 [00:29<00:17,  1.93it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▎   | 58/91 [00:29<00:16,  1.97it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.923:  64%|██████▎   | 58/91 [00:29<00:17,  1.94it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.923:  65%|██████▍   | 59/91 [00:29<00:16,  1.97it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.923:  65%|██████▍   | 59/91 [00:30<00:16,  1.95it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.923:  66%|██████▌   | 60/91 [00:30<00:15,  1.98it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.924:  66%|██████▌   | 60/91 [00:30<00:15,  1.95it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.924:  67%|██████▋   | 61/91 [00:30<00:15,  1.98it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.924:  67%|██████▋   | 61/91 [00:31<00:15,  1.96it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.924:  68%|██████▊   | 62/91 [00:31<00:14,  1.99it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.925:  68%|██████▊   | 62/91 [00:31<00:14,  1.96it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.925:  69%|██████▉   | 63/91 [00:31<00:14,  1.99it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.925:  69%|██████▉   | 63/91 [00:32<00:14,  1.96it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 64/91 [00:32<00:13,  2.00it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.925:  70%|███████   | 64/91 [00:32<00:13,  1.97it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.925:  71%|███████▏  | 65/91 [00:32<00:12,  2.00it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.926:  71%|███████▏  | 65/91 [00:32<00:13,  1.98it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.926:  73%|███████▎  | 66/91 [00:32<00:12,  2.01it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.926:  73%|███████▎  | 66/91 [00:33<00:12,  1.98it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.926:  74%|███████▎  | 67/91 [00:33<00:11,  2.01it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.925:  74%|███████▎  | 67/91 [00:33<00:12,  1.98it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.925:  75%|███████▍  | 68/91 [00:33<00:11,  2.01it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.926:  75%|███████▍  | 68/91 [00:34<00:11,  1.99it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.926:  76%|███████▌  | 69/91 [00:34<00:10,  2.02it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.926:  76%|███████▌  | 69/91 [00:34<00:11,  1.99it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.926:  77%|███████▋  | 70/91 [00:34<00:10,  2.02it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.926:  77%|███████▋  | 70/91 [00:35<00:10,  2.00it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.926:  78%|███████▊  | 71/91 [00:35<00:09,  2.03it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.926:  78%|███████▊  | 71/91 [00:35<00:09,  2.00it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.926:  79%|███████▉  | 72/91 [00:35<00:09,  2.03it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.926:  79%|███████▉  | 72/91 [00:35<00:09,  2.01it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.926:  80%|████████  | 73/91 [00:35<00:08,  2.03it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.926:  80%|████████  | 73/91 [00:36<00:08,  2.01it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.926:  81%|████████▏ | 74/91 [00:36<00:08,  2.04it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.927:  81%|████████▏ | 74/91 [00:36<00:08,  2.01it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.927:  82%|████████▏ | 75/91 [00:36<00:07,  2.04it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.927:  82%|████████▏ | 75/91 [00:37<00:07,  2.02it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.927:  84%|████████▎ | 76/91 [00:37<00:07,  2.04it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.927:  84%|████████▎ | 76/91 [00:37<00:07,  2.02it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.927:  85%|████████▍ | 77/91 [00:37<00:06,  2.04it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.927:  85%|████████▍ | 77/91 [00:38<00:06,  2.02it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.927:  86%|████████▌ | 78/91 [00:38<00:06,  2.05it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.927:  86%|████████▌ | 78/91 [00:38<00:06,  2.02it/s]
Epoch 49, validation pixAcc: 0.983, mIoU: 0.927:  87%|████████▋ | 79/91 [00:38<00:05,  2.05it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.928:  87%|████████▋ | 79/91 [00:38<00:05,  2.03it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.928:  88%|████████▊ | 80/91 [00:38<00:05,  2.05it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.928:  88%|████████▊ | 80/91 [00:39<00:05,  2.03it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.928:  89%|████████▉ | 81/91 [00:39<00:04,  2.06it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.928:  89%|████████▉ | 81/91 [00:39<00:04,  2.04it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.928:  90%|█████████ | 82/91 [00:39<00:04,  2.06it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.929:  90%|█████████ | 82/91 [00:40<00:04,  2.04it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.929:  91%|█████████ | 83/91 [00:40<00:03,  2.06it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.929:  91%|█████████ | 83/91 [00:40<00:03,  2.04it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.929:  92%|█████████▏| 84/91 [00:40<00:03,  2.07it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.929:  92%|█████████▏| 84/91 [00:41<00:03,  2.05it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.929:  93%|█████████▎| 85/91 [00:41<00:02,  2.07it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.929:  93%|█████████▎| 85/91 [00:41<00:02,  2.05it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.929:  95%|█████████▍| 86/91 [00:41<00:02,  2.07it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.929:  95%|█████████▍| 86/91 [00:41<00:02,  2.05it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.929:  96%|█████████▌| 87/91 [00:41<00:01,  2.07it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.929:  96%|█████████▌| 87/91 [00:42<00:01,  2.05it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.929:  97%|█████████▋| 88/91 [00:42<00:01,  2.08it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.928:  97%|█████████▋| 88/91 [00:42<00:01,  2.05it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.928:  98%|█████████▊| 89/91 [00:42<00:00,  2.08it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.929:  98%|█████████▊| 89/91 [00:43<00:00,  2.06it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.929:  99%|█████████▉| 90/91 [00:43<00:00,  2.08it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.928:  99%|█████████▉| 90/91 [00:43<00:00,  2.06it/s]
Epoch 49, validation pixAcc: 0.984, mIoU: 0.928: 100%|██████████| 91/91 [00:43<00:00,  2.08it/s]