FLIC-dcnn-training-xjc.log

Mean Pixel Chanel #1: 86.81
Mean Pixel Chanel #2: 76.52
Mean Pixel Chanel #3: 72.62
Training model using gpu id: 0
I0315 04:58:38.202831 26931 caffe.cpp:99] Use GPU with device ID 0
I0315 04:58:38.342545 26931 caffe.cpp:107] Starting Optimization
I0315 04:58:38.342646 26931 solver.cpp:32] Initializing solver from parameters: 
test_iter: 100
test_interval: 5000
base_lr: 0.005
display: 40
max_iter: 60000
lr_policy: "step"
gamma: 0.1
momentum: 0.9
weight_decay: 0.0005
stepsize: 20000
snapshot: 5000
snapshot_prefix: "cache/flic/flic"
solver_mode: GPU
net: "external/my_models/flic/flic_train_val.prototxt"
I0315 04:58:38.342672 26931 solver.cpp:70] Creating training net from net file: external/my_models/flic/flic_train_val.prototxt
I0315 04:58:38.343374 26931 net.cpp:276] The NetState phase (0) differed from the phase (1) specified by a rule in layer data
I0315 04:58:38.343400 26931 net.cpp:276] The NetState phase (0) differed from the phase (1) specified by a rule in layer accuracy
I0315 04:58:38.343508 26931 net.cpp:39] Initializing net from parameters: 
name: "TrainValNet"
layers {
  top: "data"
  top: "label"
  name: "data"
  type: DATA
  data_param {
    source: "cache/flic/LMDB_train"
    batch_size: 512
    backend: LMDB
  }
  include {
    phase: TRAIN
  }
  transform_param {
    mirror: false
    mean_value: 128
    mean_value: 128
    mean_value: 128
  }
}
layers {
  bottom: "data"
  top: "conv1"
  name: "conv1"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 48
    pad: 3
    kernel_size: 7
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layers {
  bottom: "conv1"
  top: "conv1"
  name: "relu1"
  type: RELU
}
layers {
  bottom: "conv1"
  top: "pool1"
  name: "pool1"
  type: POOLING
  pooling_param {
    pool: MAX
    kernel_size: 4
    stride: 3
  }
}
layers {
  bottom: "pool1"
  top: "norm1"
  name: "norm1"
  type: LRN
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layers {
  bottom: "norm1"
  top: "conv2"
  name: "conv2"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv2"
  top: "conv2"
  name: "relu2"
  type: RELU
}
layers {
  bottom: "conv2"
  top: "pool2"
  name: "pool2"
  type: POOLING
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layers {
  bottom: "pool2"
  top: "norm2"
  name: "norm2"
  type: LRN
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layers {
  bottom: "norm2"
  top: "conv3"
  name: "conv3"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv3"
  top: "conv3"
  name: "relu3"
  type: RELU
}
layers {
  bottom: "conv3"
  top: "conv4"
  name: "conv4"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv4"
  top: "conv4"
  name: "relu4"
  type: RELU
}
layers {
  bottom: "conv4"
  top: "conv5"
  name: "conv5"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv5"
  top: "conv5"
  name: "relu5"
  type: RELU
}
layers {
  bottom: "conv5"
  top: "fc6"
  name: "fc6"
  type: INNER_PRODUCT
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  inner_product_param {
    num_output: 4096
    weight_filler {
      type: "gaussian"
      std: 0.005
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "fc6"
  top: "fc6"
  name: "relu6"
  type: RELU
}
layers {
  bottom: "fc6"
  top: "fc6"
  name: "drop6"
  type: DROPOUT
  dropout_param {
    dropout_ratio: 0.5
  }
}
layers {
  bottom: "fc6"
  top: "fc7"
  name: "fc7"
  type: INNER_PRODUCT
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  inner_product_param {
    num_output: 4096
    weight_filler {
      type: "gaussian"
      std: 0.005
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "fc7"
  top: "fc7"
  name: "relu7"
  type: RELU
}
layers {
  bottom: "fc7"
  top: "fc7"
  name: "drop7"
  type: DROPOUT
  dropout_param {
    dropout_ratio: 0.5
  }
}
layers {
  bottom: "fc7"
  top: "fc8"
  name: "fc8"
  type: INNER_PRODUCT
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  inner_product_param {
    num_output: 8347
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layers {
  bottom: "fc8"
  bottom: "label"
  top: "loss"
  name: "loss"
  type: SOFTMAX_LOSS
}
state {
  phase: TRAIN
}
I0315 04:58:38.343621 26931 layer_factory.hpp:78] Creating layer data
I0315 04:58:38.362326 26931 net.cpp:68] Creating Layer data
I0315 04:58:38.362365 26931 net.cpp:357] data -> data
I0315 04:58:38.362387 26931 net.cpp:357] data -> label
I0315 04:58:38.362398 26931 net.cpp:97] Setting up data
I0315 04:58:38.362409 26931 data_layer.cpp:34] Opening dataset cache/flic/LMDB_train
I0315 04:58:38.362577 26931 data_layer.cpp:73] output data size: 512,3,54,54
I0315 04:58:38.372581 26931 net.cpp:104] Top shape: 512 3 54 54 (4478976)
I0315 04:58:38.372614 26931 net.cpp:104] Top shape: 512 1 1 1 (512)
I0315 04:58:38.372622 26931 layer_factory.hpp:78] Creating layer conv1
I0315 04:58:38.372635 26931 net.cpp:68] Creating Layer conv1
I0315 04:58:38.372642 26931 net.cpp:395] conv1 <- data
I0315 04:58:38.372658 26931 net.cpp:357] conv1 -> conv1
I0315 04:58:38.372670 26931 net.cpp:97] Setting up conv1
I0315 04:58:38.414752 26931 net.cpp:104] Top shape: 512 48 54 54 (71663616)
I0315 04:58:38.414824 26931 layer_factory.hpp:78] Creating layer relu1
I0315 04:58:38.414846 26931 net.cpp:68] Creating Layer relu1
I0315 04:58:38.414852 26931 net.cpp:395] relu1 <- conv1
I0315 04:58:38.414870 26931 net.cpp:346] relu1 -> conv1 (in-place)
I0315 04:58:38.414880 26931 net.cpp:97] Setting up relu1
I0315 04:58:38.414916 26931 net.cpp:104] Top shape: 512 48 54 54 (71663616)
I0315 04:58:38.414940 26931 layer_factory.hpp:78] Creating layer pool1
I0315 04:58:38.414954 26931 net.cpp:68] Creating Layer pool1
I0315 04:58:38.414968 26931 net.cpp:395] pool1 <- conv1
I0315 04:58:38.414978 26931 net.cpp:357] pool1 -> pool1
I0315 04:58:38.414989 26931 net.cpp:97] Setting up pool1
I0315 04:58:38.415017 26931 net.cpp:104] Top shape: 512 48 18 18 (7962624)
I0315 04:58:38.415029 26931 layer_factory.hpp:78] Creating layer norm1
I0315 04:58:38.415045 26931 net.cpp:68] Creating Layer norm1
I0315 04:58:38.415055 26931 net.cpp:395] norm1 <- pool1
I0315 04:58:38.415063 26931 net.cpp:357] norm1 -> norm1
I0315 04:58:38.415073 26931 net.cpp:97] Setting up norm1
I0315 04:58:38.415086 26931 net.cpp:104] Top shape: 512 48 18 18 (7962624)
I0315 04:58:38.415096 26931 layer_factory.hpp:78] Creating layer conv2
I0315 04:58:38.415109 26931 net.cpp:68] Creating Layer conv2
I0315 04:58:38.415117 26931 net.cpp:395] conv2 <- norm1
I0315 04:58:38.415127 26931 net.cpp:357] conv2 -> conv2
I0315 04:58:38.415138 26931 net.cpp:97] Setting up conv2
I0315 04:58:38.417035 26931 net.cpp:104] Top shape: 512 128 18 18 (21233664)
I0315 04:58:38.417068 26931 layer_factory.hpp:78] Creating layer relu2
I0315 04:58:38.417081 26931 net.cpp:68] Creating Layer relu2
I0315 04:58:38.417091 26931 net.cpp:395] relu2 <- conv2
I0315 04:58:38.417103 26931 net.cpp:346] relu2 -> conv2 (in-place)
I0315 04:58:38.417114 26931 net.cpp:97] Setting up relu2
I0315 04:58:38.417124 26931 net.cpp:104] Top shape: 512 128 18 18 (21233664)
I0315 04:58:38.417155 26931 layer_factory.hpp:78] Creating layer pool2
I0315 04:58:38.417168 26931 net.cpp:68] Creating Layer pool2
I0315 04:58:38.417179 26931 net.cpp:395] pool2 <- conv2
I0315 04:58:38.417189 26931 net.cpp:357] pool2 -> pool2
I0315 04:58:38.417212 26931 net.cpp:97] Setting up pool2
I0315 04:58:38.417224 26931 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0315 04:58:38.417233 26931 layer_factory.hpp:78] Creating layer norm2
I0315 04:58:38.417254 26931 net.cpp:68] Creating Layer norm2
I0315 04:58:38.417263 26931 net.cpp:395] norm2 <- pool2
I0315 04:58:38.417281 26931 net.cpp:357] norm2 -> norm2
I0315 04:58:38.417301 26931 net.cpp:97] Setting up norm2
I0315 04:58:38.417309 26931 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0315 04:58:38.417314 26931 layer_factory.hpp:78] Creating layer conv3
I0315 04:58:38.417322 26931 net.cpp:68] Creating Layer conv3
I0315 04:58:38.417327 26931 net.cpp:395] conv3 <- norm2
I0315 04:58:38.417332 26931 net.cpp:357] conv3 -> conv3
I0315 04:58:38.417341 26931 net.cpp:97] Setting up conv3
I0315 04:58:38.421133 26931 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0315 04:58:38.421170 26931 layer_factory.hpp:78] Creating layer relu3
I0315 04:58:38.421186 26931 net.cpp:68] Creating Layer relu3
I0315 04:58:38.421192 26931 net.cpp:395] relu3 <- conv3
I0315 04:58:38.421210 26931 net.cpp:346] relu3 -> conv3 (in-place)
I0315 04:58:38.421216 26931 net.cpp:97] Setting up relu3
I0315 04:58:38.421222 26931 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0315 04:58:38.421228 26931 layer_factory.hpp:78] Creating layer conv4
I0315 04:58:38.421244 26931 net.cpp:68] Creating Layer conv4
I0315 04:58:38.421253 26931 net.cpp:395] conv4 <- conv3
I0315 04:58:38.421274 26931 net.cpp:357] conv4 -> conv4
I0315 04:58:38.421296 26931 net.cpp:97] Setting up conv4
I0315 04:58:38.425612 26931 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0315 04:58:38.425631 26931 layer_factory.hpp:78] Creating layer relu4
I0315 04:58:38.425638 26931 net.cpp:68] Creating Layer relu4
I0315 04:58:38.425643 26931 net.cpp:395] relu4 <- conv4
I0315 04:58:38.425650 26931 net.cpp:346] relu4 -> conv4 (in-place)
I0315 04:58:38.425657 26931 net.cpp:97] Setting up relu4
I0315 04:58:38.425663 26931 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0315 04:58:38.425668 26931 layer_factory.hpp:78] Creating layer conv5
I0315 04:58:38.425674 26931 net.cpp:68] Creating Layer conv5
I0315 04:58:38.425678 26931 net.cpp:395] conv5 <- conv4
I0315 04:58:38.425685 26931 net.cpp:357] conv5 -> conv5
I0315 04:58:38.425691 26931 net.cpp:97] Setting up conv5
I0315 04:58:38.429673 26931 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0315 04:58:38.429711 26931 layer_factory.hpp:78] Creating layer relu5
I0315 04:58:38.429734 26931 net.cpp:68] Creating Layer relu5
I0315 04:58:38.429744 26931 net.cpp:395] relu5 <- conv5
I0315 04:58:38.429752 26931 net.cpp:346] relu5 -> conv5 (in-place)
I0315 04:58:38.429765 26931 net.cpp:97] Setting up relu5
I0315 04:58:38.429777 26931 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0315 04:58:38.429787 26931 layer_factory.hpp:78] Creating layer fc6
I0315 04:58:38.429810 26931 net.cpp:68] Creating Layer fc6
I0315 04:58:38.429819 26931 net.cpp:395] fc6 <- conv5
I0315 04:58:38.429829 26931 net.cpp:357] fc6 -> fc6
I0315 04:58:38.429852 26931 net.cpp:97] Setting up fc6
I0315 04:58:39.386739 26931 net.cpp:104] Top shape: 512 4096 1 1 (2097152)
I0315 04:58:39.386767 26931 layer_factory.hpp:78] Creating layer relu6
I0315 04:58:39.386780 26931 net.cpp:68] Creating Layer relu6
I0315 04:58:39.386786 26931 net.cpp:395] relu6 <- fc6
I0315 04:58:39.386792 26931 net.cpp:346] relu6 -> fc6 (in-place)
I0315 04:58:39.386800 26931 net.cpp:97] Setting up relu6
I0315 04:58:39.386813 26931 net.cpp:104] Top shape: 512 4096 1 1 (2097152)
I0315 04:58:39.386818 26931 layer_factory.hpp:78] Creating layer drop6
I0315 04:58:39.386827 26931 net.cpp:68] Creating Layer drop6
I0315 04:58:39.386831 26931 net.cpp:395] drop6 <- fc6
I0315 04:58:39.386838 26931 net.cpp:346] drop6 -> fc6 (in-place)
I0315 04:58:39.386873 26931 net.cpp:97] Setting up drop6
I0315 04:58:39.386881 26931 net.cpp:104] Top shape: 512 4096 1 1 (2097152)
I0315 04:58:39.386885 26931 layer_factory.hpp:78] Creating layer fc7
I0315 04:58:39.386893 26931 net.cpp:68] Creating Layer fc7
I0315 04:58:39.386898 26931 net.cpp:395] fc7 <- fc6
I0315 04:58:39.386903 26931 net.cpp:357] fc7 -> fc7
I0315 04:58:39.386909 26931 net.cpp:97] Setting up fc7
I0315 04:58:39.759824 26931 net.cpp:104] Top shape: 512 4096 1 1 (2097152)
I0315 04:58:39.759855 26931 layer_factory.hpp:78] Creating layer relu7
I0315 04:58:39.759863 26931 net.cpp:68] Creating Layer relu7
I0315 04:58:39.759870 26931 net.cpp:395] relu7 <- fc7
I0315 04:58:39.759877 26931 net.cpp:346] relu7 -> fc7 (in-place)
I0315 04:58:39.759886 26931 net.cpp:97] Setting up relu7
I0315 04:58:39.759898 26931 net.cpp:104] Top shape: 512 4096 1 1 (2097152)
I0315 04:58:39.759903 26931 layer_factory.hpp:78] Creating layer drop7
I0315 04:58:39.759909 26931 net.cpp:68] Creating Layer drop7
I0315 04:58:39.759913 26931 net.cpp:395] drop7 <- fc7
I0315 04:58:39.759919 26931 net.cpp:346] drop7 -> fc7 (in-place)
I0315 04:58:39.759924 26931 net.cpp:97] Setting up drop7
I0315 04:58:39.759929 26931 net.cpp:104] Top shape: 512 4096 1 1 (2097152)
I0315 04:58:39.759933 26931 layer_factory.hpp:78] Creating layer fc8
I0315 04:58:39.759939 26931 net.cpp:68] Creating Layer fc8
I0315 04:58:39.759943 26931 net.cpp:395] fc8 <- fc7
I0315 04:58:39.759961 26931 net.cpp:357] fc8 -> fc8
I0315 04:58:39.759968 26931 net.cpp:97] Setting up fc8
I0315 04:58:40.606724 26931 net.cpp:104] Top shape: 512 8347 1 1 (4273664)
I0315 04:58:40.606755 26931 layer_factory.hpp:78] Creating layer loss
I0315 04:58:40.606768 26931 net.cpp:68] Creating Layer loss
I0315 04:58:40.606775 26931 net.cpp:395] loss <- fc8
I0315 04:58:40.606781 26931 net.cpp:395] loss <- label
I0315 04:58:40.606786 26931 net.cpp:357] loss -> loss
I0315 04:58:40.606796 26931 net.cpp:97] Setting up loss
I0315 04:58:40.606803 26931 layer_factory.hpp:78] Creating layer loss
I0315 04:58:40.613212 26931 net.cpp:104] Top shape: 1 1 1 1 (1)
I0315 04:58:40.613240 26931 net.cpp:110]     with loss weight 1
I0315 04:58:40.613278 26931 net.cpp:171] loss needs backward computation.
I0315 04:58:40.613288 26931 net.cpp:171] fc8 needs backward computation.
I0315 04:58:40.613294 26931 net.cpp:171] drop7 needs backward computation.
I0315 04:58:40.613301 26931 net.cpp:171] relu7 needs backward computation.
I0315 04:58:40.613306 26931 net.cpp:171] fc7 needs backward computation.
I0315 04:58:40.613312 26931 net.cpp:171] drop6 needs backward computation.
I0315 04:58:40.613317 26931 net.cpp:171] relu6 needs backward computation.
I0315 04:58:40.613322 26931 net.cpp:171] fc6 needs backward computation.
I0315 04:58:40.613327 26931 net.cpp:171] relu5 needs backward computation.
I0315 04:58:40.613332 26931 net.cpp:171] conv5 needs backward computation.
I0315 04:58:40.613347 26931 net.cpp:171] relu4 needs backward computation.
I0315 04:58:40.613353 26931 net.cpp:171] conv4 needs backward computation.
I0315 04:58:40.613358 26931 net.cpp:171] relu3 needs backward computation.
I0315 04:58:40.613363 26931 net.cpp:171] conv3 needs backward computation.
I0315 04:58:40.613369 26931 net.cpp:171] norm2 needs backward computation.
I0315 04:58:40.613374 26931 net.cpp:171] pool2 needs backward computation.
I0315 04:58:40.613380 26931 net.cpp:171] relu2 needs backward computation.
I0315 04:58:40.613385 26931 net.cpp:171] conv2 needs backward computation.
I0315 04:58:40.613390 26931 net.cpp:171] norm1 needs backward computation.
I0315 04:58:40.613399 26931 net.cpp:171] pool1 needs backward computation.
I0315 04:58:40.613404 26931 net.cpp:171] relu1 needs backward computation.
I0315 04:58:40.613409 26931 net.cpp:171] conv1 needs backward computation.
I0315 04:58:40.613414 26931 net.cpp:173] data does not need backward computation.
I0315 04:58:40.613418 26931 net.cpp:209] This network produces output loss
I0315 04:58:40.613433 26931 net.cpp:468] Collecting Learning Rate and Weight Decay.
I0315 04:58:40.613441 26931 net.cpp:220] Network initialization done.
I0315 04:58:40.613471 26931 net.cpp:221] Memory required for data: 1062092804
I0315 04:58:40.613986 26931 solver.cpp:154] Creating test net (#0) specified by net file: external/my_models/flic/flic_train_val.prototxt
I0315 04:58:40.614038 26931 net.cpp:276] The NetState phase (1) differed from the phase (0) specified by a rule in layer data
I0315 04:58:40.614177 26931 net.cpp:39] Initializing net from parameters: 
name: "TrainValNet"
layers {
  top: "data"
  top: "label"
  name: "data"
  type: DATA
  data_param {
    source: "cache/flic/LMDB_val"
    batch_size: 360
    backend: LMDB
  }
  include {
    phase: TEST
  }
  transform_param {
    mirror: false
    mean_value: 128
    mean_value: 128
    mean_value: 128
  }
}
layers {
  bottom: "data"
  top: "conv1"
  name: "conv1"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 48
    pad: 3
    kernel_size: 7
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layers {
  bottom: "conv1"
  top: "conv1"
  name: "relu1"
  type: RELU
}
layers {
  bottom: "conv1"
  top: "pool1"
  name: "pool1"
  type: POOLING
  pooling_param {
    pool: MAX
    kernel_size: 4
    stride: 3
  }
}
layers {
  bottom: "pool1"
  top: "norm1"
  name: "norm1"
  type: LRN
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layers {
  bottom: "norm1"
  top: "conv2"
  name: "conv2"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv2"
  top: "conv2"
  name: "relu2"
  type: RELU
}
layers {
  bottom: "conv2"
  top: "pool2"
  name: "pool2"
  type: POOLING
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layers {
  bottom: "pool2"
  top: "norm2"
  name: "norm2"
  type: LRN
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layers {
  bottom: "norm2"
  top: "conv3"
  name: "conv3"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv3"
  top: "conv3"
  name: "relu3"
  type: RELU
}
layers {
  bottom: "conv3"
  top: "conv4"
  name: "conv4"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv4"
  top: "conv4"
  name: "relu4"
  type: RELU
}
layers {
  bottom: "conv4"
  top: "conv5"
  name: "conv5"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv5"
  top: "conv5"
  name: "relu5"
  type: RELU
}
layers {
  bottom: "conv5"
  top: "fc6"
  name: "fc6"
  type: INNER_PRODUCT
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  inner_product_param {
    num_output: 4096
    weight_filler {
      type: "gaussian"
      std: 0.005
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "fc6"
  top: "fc6"
  name: "relu6"
  type: RELU
}
layers {
  bottom: "fc6"
  top: "fc6"
  name: "drop6"
  type: DROPOUT
  dropout_param {
    dropout_ratio: 0.5
  }
}
layers {
  bottom: "fc6"
  top: "fc7"
  name: "fc7"
  type: INNER_PRODUCT
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  inner_product_param {
    num_output: 4096
    weight_filler {
      type: "gaussian"
      std: 0.005
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "fc7"
  top: "fc7"
  name: "relu7"
  type: RELU
}
layers {
  bottom: "fc7"
  top: "fc7"
  name: "drop7"
  type: DROPOUT
  dropout_param {
    dropout_ratio: 0.5
  }
}
layers {
  bottom: "fc7"
  top: "fc8"
  name: "fc8"
  type: INNER_PRODUCT
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  inner_product_param {
    num_output: 8347
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layers {
  bottom: "fc8"
  bottom: "label"
  top: "accuracy"
  name: "accuracy"
  type: ACCURACY
  include {
    phase: TEST
  }
}
layers {
  bottom: "fc8"
  bottom: "label"
  top: "loss"
  name: "loss"
  type: SOFTMAX_LOSS
}
state {
  phase: TEST
}
I0315 04:58:40.614279 26931 layer_factory.hpp:78] Creating layer data
I0315 04:58:40.614290 26931 net.cpp:68] Creating Layer data
I0315 04:58:40.614295 26931 net.cpp:357] data -> data
I0315 04:58:40.614313 26931 net.cpp:357] data -> label
I0315 04:58:40.614320 26931 net.cpp:97] Setting up data
I0315 04:58:40.614326 26931 data_layer.cpp:34] Opening dataset cache/flic/LMDB_val
I0315 04:58:40.628271 26931 data_layer.cpp:73] output data size: 360,3,54,54
I0315 04:58:40.650013 26931 net.cpp:104] Top shape: 360 3 54 54 (3149280)
I0315 04:58:40.650053 26931 net.cpp:104] Top shape: 360 1 1 1 (360)
I0315 04:58:40.650063 26931 layer_factory.hpp:78] Creating layer label_data_1_split
I0315 04:58:40.650076 26931 net.cpp:68] Creating Layer label_data_1_split
I0315 04:58:40.650081 26931 net.cpp:395] label_data_1_split <- label
I0315 04:58:40.650089 26931 net.cpp:357] label_data_1_split -> label_data_1_split_0
I0315 04:58:40.650099 26931 net.cpp:357] label_data_1_split -> label_data_1_split_1
I0315 04:58:40.650105 26931 net.cpp:97] Setting up label_data_1_split
I0315 04:58:40.650111 26931 net.cpp:104] Top shape: 360 1 1 1 (360)
I0315 04:58:40.650116 26931 net.cpp:104] Top shape: 360 1 1 1 (360)
I0315 04:58:40.650121 26931 layer_factory.hpp:78] Creating layer conv1
I0315 04:58:40.650130 26931 net.cpp:68] Creating Layer conv1
I0315 04:58:40.650133 26931 net.cpp:395] conv1 <- data
I0315 04:58:40.650140 26931 net.cpp:357] conv1 -> conv1
I0315 04:58:40.650146 26931 net.cpp:97] Setting up conv1
I0315 04:58:40.650555 26931 net.cpp:104] Top shape: 360 48 54 54 (50388480)
I0315 04:58:40.650583 26931 layer_factory.hpp:78] Creating layer relu1
I0315 04:58:40.650591 26931 net.cpp:68] Creating Layer relu1
I0315 04:58:40.650595 26931 net.cpp:395] relu1 <- conv1
I0315 04:58:40.650601 26931 net.cpp:346] relu1 -> conv1 (in-place)
I0315 04:58:40.650607 26931 net.cpp:97] Setting up relu1
I0315 04:58:40.650614 26931 net.cpp:104] Top shape: 360 48 54 54 (50388480)
I0315 04:58:40.650619 26931 layer_factory.hpp:78] Creating layer pool1
I0315 04:58:40.650625 26931 net.cpp:68] Creating Layer pool1
I0315 04:58:40.650630 26931 net.cpp:395] pool1 <- conv1
I0315 04:58:40.650636 26931 net.cpp:357] pool1 -> pool1
I0315 04:58:40.650643 26931 net.cpp:97] Setting up pool1
I0315 04:58:40.650650 26931 net.cpp:104] Top shape: 360 48 18 18 (5598720)
I0315 04:58:40.650655 26931 layer_factory.hpp:78] Creating layer norm1
I0315 04:58:40.650662 26931 net.cpp:68] Creating Layer norm1
I0315 04:58:40.650667 26931 net.cpp:395] norm1 <- pool1
I0315 04:58:40.650672 26931 net.cpp:357] norm1 -> norm1
I0315 04:58:40.650678 26931 net.cpp:97] Setting up norm1
I0315 04:58:40.650683 26931 net.cpp:104] Top shape: 360 48 18 18 (5598720)
I0315 04:58:40.650688 26931 layer_factory.hpp:78] Creating layer conv2
I0315 04:58:40.650696 26931 net.cpp:68] Creating Layer conv2
I0315 04:58:40.650699 26931 net.cpp:395] conv2 <- norm1
I0315 04:58:40.650707 26931 net.cpp:357] conv2 -> conv2
I0315 04:58:40.650714 26931 net.cpp:97] Setting up conv2
I0315 04:58:40.652217 26931 net.cpp:104] Top shape: 360 128 18 18 (14929920)
I0315 04:58:40.652233 26931 layer_factory.hpp:78] Creating layer relu2
I0315 04:58:40.652259 26931 net.cpp:68] Creating Layer relu2
I0315 04:58:40.652266 26931 net.cpp:395] relu2 <- conv2
I0315 04:58:40.652271 26931 net.cpp:346] relu2 -> conv2 (in-place)
I0315 04:58:40.652276 26931 net.cpp:97] Setting up relu2
I0315 04:58:40.652283 26931 net.cpp:104] Top shape: 360 128 18 18 (14929920)
I0315 04:58:40.652288 26931 layer_factory.hpp:78] Creating layer pool2
I0315 04:58:40.652297 26931 net.cpp:68] Creating Layer pool2
I0315 04:58:40.652302 26931 net.cpp:395] pool2 <- conv2
I0315 04:58:40.652307 26931 net.cpp:357] pool2 -> pool2
I0315 04:58:40.652313 26931 net.cpp:97] Setting up pool2
I0315 04:58:40.652322 26931 net.cpp:104] Top shape: 360 128 9 9 (3732480)
I0315 04:58:40.652326 26931 layer_factory.hpp:78] Creating layer norm2
I0315 04:58:40.652333 26931 net.cpp:68] Creating Layer norm2
I0315 04:58:40.652338 26931 net.cpp:395] norm2 <- pool2
I0315 04:58:40.652343 26931 net.cpp:357] norm2 -> norm2
I0315 04:58:40.652348 26931 net.cpp:97] Setting up norm2
I0315 04:58:40.652354 26931 net.cpp:104] Top shape: 360 128 9 9 (3732480)
I0315 04:58:40.652359 26931 layer_factory.hpp:78] Creating layer conv3
I0315 04:58:40.652365 26931 net.cpp:68] Creating Layer conv3
I0315 04:58:40.652370 26931 net.cpp:395] conv3 <- norm2
I0315 04:58:40.652377 26931 net.cpp:357] conv3 -> conv3
I0315 04:58:40.652384 26931 net.cpp:97] Setting up conv3
I0315 04:58:40.655956 26931 net.cpp:104] Top shape: 360 128 9 9 (3732480)
I0315 04:58:40.655984 26931 layer_factory.hpp:78] Creating layer relu3
I0315 04:58:40.655992 26931 net.cpp:68] Creating Layer relu3
I0315 04:58:40.655997 26931 net.cpp:395] relu3 <- conv3
I0315 04:58:40.656003 26931 net.cpp:346] relu3 -> conv3 (in-place)
I0315 04:58:40.656009 26931 net.cpp:97] Setting up relu3
I0315 04:58:40.656015 26931 net.cpp:104] Top shape: 360 128 9 9 (3732480)
I0315 04:58:40.656020 26931 layer_factory.hpp:78] Creating layer conv4
I0315 04:58:40.656026 26931 net.cpp:68] Creating Layer conv4
I0315 04:58:40.656031 26931 net.cpp:395] conv4 <- conv3
I0315 04:58:40.656038 26931 net.cpp:357] conv4 -> conv4
I0315 04:58:40.656044 26931 net.cpp:97] Setting up conv4
I0315 04:58:40.659796 26931 net.cpp:104] Top shape: 360 128 9 9 (3732480)
I0315 04:58:40.659813 26931 layer_factory.hpp:78] Creating layer relu4
I0315 04:58:40.659821 26931 net.cpp:68] Creating Layer relu4
I0315 04:58:40.659837 26931 net.cpp:395] relu4 <- conv4
I0315 04:58:40.659842 26931 net.cpp:346] relu4 -> conv4 (in-place)
I0315 04:58:40.659847 26931 net.cpp:97] Setting up relu4
I0315 04:58:40.659853 26931 net.cpp:104] Top shape: 360 128 9 9 (3732480)
I0315 04:58:40.659858 26931 layer_factory.hpp:78] Creating layer conv5
I0315 04:58:40.659867 26931 net.cpp:68] Creating Layer conv5
I0315 04:58:40.659871 26931 net.cpp:395] conv5 <- conv4
I0315 04:58:40.659876 26931 net.cpp:357] conv5 -> conv5
I0315 04:58:40.659883 26931 net.cpp:97] Setting up conv5
I0315 04:58:40.663573 26931 net.cpp:104] Top shape: 360 128 9 9 (3732480)
I0315 04:58:40.663593 26931 layer_factory.hpp:78] Creating layer relu5
I0315 04:58:40.663609 26931 net.cpp:68] Creating Layer relu5
I0315 04:58:40.663614 26931 net.cpp:395] relu5 <- conv5
I0315 04:58:40.663621 26931 net.cpp:346] relu5 -> conv5 (in-place)
I0315 04:58:40.663627 26931 net.cpp:97] Setting up relu5
I0315 04:58:40.663633 26931 net.cpp:104] Top shape: 360 128 9 9 (3732480)
I0315 04:58:40.663638 26931 layer_factory.hpp:78] Creating layer fc6
I0315 04:58:40.663646 26931 net.cpp:68] Creating Layer fc6
I0315 04:58:40.663650 26931 net.cpp:395] fc6 <- conv5
I0315 04:58:40.663657 26931 net.cpp:357] fc6 -> fc6
I0315 04:58:40.663663 26931 net.cpp:97] Setting up fc6
I0315 04:58:41.687175 26931 net.cpp:104] Top shape: 360 4096 1 1 (1474560)
I0315 04:58:41.687203 26931 layer_factory.hpp:78] Creating layer relu6
I0315 04:58:41.687212 26931 net.cpp:68] Creating Layer relu6
I0315 04:58:41.687219 26931 net.cpp:395] relu6 <- fc6
I0315 04:58:41.687227 26931 net.cpp:346] relu6 -> fc6 (in-place)
I0315 04:58:41.687233 26931 net.cpp:97] Setting up relu6
I0315 04:58:41.687247 26931 net.cpp:104] Top shape: 360 4096 1 1 (1474560)
I0315 04:58:41.687271 26931 layer_factory.hpp:78] Creating layer drop6
I0315 04:58:41.687279 26931 net.cpp:68] Creating Layer drop6
I0315 04:58:41.687283 26931 net.cpp:395] drop6 <- fc6
I0315 04:58:41.687290 26931 net.cpp:346] drop6 -> fc6 (in-place)
I0315 04:58:41.687296 26931 net.cpp:97] Setting up drop6
I0315 04:58:41.687300 26931 net.cpp:104] Top shape: 360 4096 1 1 (1474560)
I0315 04:58:41.687305 26931 layer_factory.hpp:78] Creating layer fc7
I0315 04:58:41.687312 26931 net.cpp:68] Creating Layer fc7
I0315 04:58:41.687316 26931 net.cpp:395] fc7 <- fc6
I0315 04:58:41.687321 26931 net.cpp:357] fc7 -> fc7
I0315 04:58:41.687327 26931 net.cpp:97] Setting up fc7
I0315 04:58:42.142019 26931 net.cpp:104] Top shape: 360 4096 1 1 (1474560)
I0315 04:58:42.142057 26931 layer_factory.hpp:78] Creating layer relu7
I0315 04:58:42.142067 26931 net.cpp:68] Creating Layer relu7
I0315 04:58:42.142073 26931 net.cpp:395] relu7 <- fc7
I0315 04:58:42.142081 26931 net.cpp:346] relu7 -> fc7 (in-place)
I0315 04:58:42.142098 26931 net.cpp:97] Setting up relu7
I0315 04:58:42.142112 26931 net.cpp:104] Top shape: 360 4096 1 1 (1474560)
I0315 04:58:42.142118 26931 layer_factory.hpp:78] Creating layer drop7
I0315 04:58:42.142127 26931 net.cpp:68] Creating Layer drop7
I0315 04:58:42.142132 26931 net.cpp:395] drop7 <- fc7
I0315 04:58:42.142138 26931 net.cpp:346] drop7 -> fc7 (in-place)
I0315 04:58:42.142143 26931 net.cpp:97] Setting up drop7
I0315 04:58:42.142148 26931 net.cpp:104] Top shape: 360 4096 1 1 (1474560)
I0315 04:58:42.142153 26931 layer_factory.hpp:78] Creating layer fc8
I0315 04:58:42.142158 26931 net.cpp:68] Creating Layer fc8
I0315 04:58:42.142163 26931 net.cpp:395] fc8 <- fc7
I0315 04:58:42.142170 26931 net.cpp:357] fc8 -> fc8
I0315 04:58:42.142177 26931 net.cpp:97] Setting up fc8
I0315 04:58:42.943027 26931 net.cpp:104] Top shape: 360 8347 1 1 (3004920)
I0315 04:58:42.943056 26931 layer_factory.hpp:78] Creating layer fc8_fc8_0_split
I0315 04:58:42.943066 26931 net.cpp:68] Creating Layer fc8_fc8_0_split
I0315 04:58:42.943073 26931 net.cpp:395] fc8_fc8_0_split <- fc8
I0315 04:58:42.943083 26931 net.cpp:357] fc8_fc8_0_split -> fc8_fc8_0_split_0
I0315 04:58:42.943094 26931 net.cpp:357] fc8_fc8_0_split -> fc8_fc8_0_split_1
I0315 04:58:42.943100 26931 net.cpp:97] Setting up fc8_fc8_0_split
I0315 04:58:42.943106 26931 net.cpp:104] Top shape: 360 8347 1 1 (3004920)
I0315 04:58:42.943110 26931 net.cpp:104] Top shape: 360 8347 1 1 (3004920)
I0315 04:58:42.943115 26931 layer_factory.hpp:78] Creating layer accuracy
I0315 04:58:42.943125 26931 net.cpp:68] Creating Layer accuracy
I0315 04:58:42.943130 26931 net.cpp:395] accuracy <- fc8_fc8_0_split_0
I0315 04:58:42.943136 26931 net.cpp:395] accuracy <- label_data_1_split_0
I0315 04:58:42.943142 26931 net.cpp:357] accuracy -> accuracy
I0315 04:58:42.943148 26931 net.cpp:97] Setting up accuracy
I0315 04:58:42.943156 26931 net.cpp:104] Top shape: 1 1 1 1 (1)
I0315 04:58:42.943161 26931 layer_factory.hpp:78] Creating layer loss
I0315 04:58:42.943167 26931 net.cpp:68] Creating Layer loss
I0315 04:58:42.943171 26931 net.cpp:395] loss <- fc8_fc8_0_split_1
I0315 04:58:42.943176 26931 net.cpp:395] loss <- label_data_1_split_1
I0315 04:58:42.943181 26931 net.cpp:357] loss -> loss
I0315 04:58:42.943186 26931 net.cpp:97] Setting up loss
I0315 04:58:42.943193 26931 layer_factory.hpp:78] Creating layer loss
I0315 04:58:42.947777 26931 net.cpp:104] Top shape: 1 1 1 1 (1)
I0315 04:58:42.947839 26931 net.cpp:110]     with loss weight 1
I0315 04:58:42.947862 26931 net.cpp:171] loss needs backward computation.
I0315 04:58:42.947872 26931 net.cpp:173] accuracy does not need backward computation.
I0315 04:58:42.947878 26931 net.cpp:171] fc8_fc8_0_split needs backward computation.
I0315 04:58:42.947885 26931 net.cpp:171] fc8 needs backward computation.
I0315 04:58:42.947891 26931 net.cpp:171] drop7 needs backward computation.
I0315 04:58:42.947897 26931 net.cpp:171] relu7 needs backward computation.
I0315 04:58:42.947902 26931 net.cpp:171] fc7 needs backward computation.
I0315 04:58:42.947932 26931 net.cpp:171] drop6 needs backward computation.
I0315 04:58:42.947938 26931 net.cpp:171] relu6 needs backward computation.
I0315 04:58:42.947953 26931 net.cpp:171] fc6 needs backward computation.
I0315 04:58:42.947959 26931 net.cpp:171] relu5 needs backward computation.
I0315 04:58:42.947965 26931 net.cpp:171] conv5 needs backward computation.
I0315 04:58:42.947970 26931 net.cpp:171] relu4 needs backward computation.
I0315 04:58:42.947975 26931 net.cpp:171] conv4 needs backward computation.
I0315 04:58:42.947980 26931 net.cpp:171] relu3 needs backward computation.
I0315 04:58:42.947985 26931 net.cpp:171] conv3 needs backward computation.
I0315 04:58:42.947989 26931 net.cpp:171] norm2 needs backward computation.
I0315 04:58:42.947994 26931 net.cpp:171] pool2 needs backward computation.
I0315 04:58:42.947999 26931 net.cpp:171] relu2 needs backward computation.
I0315 04:58:42.948004 26931 net.cpp:171] conv2 needs backward computation.
I0315 04:58:42.948009 26931 net.cpp:171] norm1 needs backward computation.
I0315 04:58:42.948014 26931 net.cpp:171] pool1 needs backward computation.
I0315 04:58:42.948019 26931 net.cpp:171] relu1 needs backward computation.
I0315 04:58:42.948024 26931 net.cpp:171] conv1 needs backward computation.
I0315 04:58:42.948029 26931 net.cpp:173] label_data_1_split does not need backward computation.
I0315 04:58:42.948035 26931 net.cpp:173] data does not need backward computation.
I0315 04:58:42.948038 26931 net.cpp:209] This network produces output accuracy
I0315 04:58:42.948045 26931 net.cpp:209] This network produces output loss
I0315 04:58:42.948061 26931 net.cpp:468] Collecting Learning Rate and Weight Decay.
I0315 04:58:42.948071 26931 net.cpp:220] Network initialization done.
I0315 04:58:42.948076 26931 net.cpp:221] Memory required for data: 770826248
I0315 04:58:42.948148 26931 solver.cpp:42] Solver scaffolding done.
I0315 04:58:42.948184 26931 solver.cpp:222] Solving TrainValNet
I0315 04:58:42.948189 26931 solver.cpp:223] Learning Rate Policy: step
I0315 04:58:42.948195 26931 solver.cpp:266] Iteration 0, Testing net (#0)
I0315 04:59:39.342200 26931 solver.cpp:317]     Test net output #0: accuracy = 0
I0315 04:59:39.342285 26931 solver.cpp:317]     Test net output #1: loss = 9.31229 (* 1 = 9.31229 loss)
I0315 04:59:39.524972 26931 solver.cpp:188] Iteration 0, loss = 9.56442
I0315 04:59:39.525012 26931 solver.cpp:203]     Train net output #0: loss = 9.56442 (* 1 = 9.56442 loss)
I0315 04:59:39.525028 26931 solver.cpp:449] Iteration 0, lr = 0.005
I0315 05:00:32.956475 26931 solver.cpp:188] Iteration 40, loss = 6.68945
I0315 05:00:32.956581 26931 solver.cpp:203]     Train net output #0: loss = 6.68945 (* 1 = 6.68945 loss)
I0315 05:00:32.956593 26931 solver.cpp:449] Iteration 40, lr = 0.005
I0315 05:01:25.758182 26931 solver.cpp:188] Iteration 80, loss = 6.20912
I0315 05:01:25.758291 26931 solver.cpp:203]     Train net output #0: loss = 6.20912 (* 1 = 6.20912 loss)
I0315 05:01:25.758311 26931 solver.cpp:449] Iteration 80, lr = 0.005
I0315 05:02:17.510954 26931 solver.cpp:188] Iteration 120, loss = 6.19661
I0315 05:02:17.511044 26931 solver.cpp:203]     Train net output #0: loss = 6.19661 (* 1 = 6.19661 loss)
I0315 05:02:17.511066 26931 solver.cpp:449] Iteration 120, lr = 0.005
I0315 05:03:12.982895 26931 solver.cpp:188] Iteration 160, loss = 6.19522
I0315 05:03:12.983010 26931 solver.cpp:203]     Train net output #0: loss = 6.19522 (* 1 = 6.19522 loss)
I0315 05:03:12.983019 26931 solver.cpp:449] Iteration 160, lr = 0.005
I0315 05:04:07.553145 26931 solver.cpp:188] Iteration 200, loss = 6.16883
I0315 05:04:07.553346 26931 solver.cpp:203]     Train net output #0: loss = 6.16883 (* 1 = 6.16883 loss)
I0315 05:04:07.553359 26931 solver.cpp:449] Iteration 200, lr = 0.005
I0315 05:05:07.348166 26931 solver.cpp:188] Iteration 240, loss = 6.08702
I0315 05:05:07.348320 26931 solver.cpp:203]     Train net output #0: loss = 6.08702 (* 1 = 6.08702 loss)
I0315 05:05:07.348330 26931 solver.cpp:449] Iteration 240, lr = 0.005
I0315 05:06:06.862524 26931 solver.cpp:188] Iteration 280, loss = 6.06614
I0315 05:06:06.862670 26931 solver.cpp:203]     Train net output #0: loss = 6.06614 (* 1 = 6.06614 loss)
I0315 05:06:06.862681 26931 solver.cpp:449] Iteration 280, lr = 0.005
I0315 05:07:11.695015 26931 solver.cpp:188] Iteration 320, loss = 6.16887
I0315 05:07:11.695128 26931 solver.cpp:203]     Train net output #0: loss = 6.16887 (* 1 = 6.16887 loss)
I0315 05:07:11.695148 26931 solver.cpp:449] Iteration 320, lr = 0.005
I0315 05:08:18.384670 26931 solver.cpp:188] Iteration 360, loss = 6.30273
I0315 05:08:18.384800 26931 solver.cpp:203]     Train net output #0: loss = 6.30273 (* 1 = 6.30273 loss)
I0315 05:08:18.384810 26931 solver.cpp:449] Iteration 360, lr = 0.005
I0315 05:09:28.771735 26931 solver.cpp:188] Iteration 400, loss = 5.92745
I0315 05:09:28.771872 26931 solver.cpp:203]     Train net output #0: loss = 5.92745 (* 1 = 5.92745 loss)
I0315 05:09:28.771881 26931 solver.cpp:449] Iteration 400, lr = 0.005
I0315 05:10:43.180893 26931 solver.cpp:188] Iteration 440, loss = 6.05862
I0315 05:10:43.181021 26931 solver.cpp:203]     Train net output #0: loss = 6.05862 (* 1 = 6.05862 loss)
I0315 05:10:43.181031 26931 solver.cpp:449] Iteration 440, lr = 0.005
I0315 05:12:01.036170 26931 solver.cpp:188] Iteration 480, loss = 5.94618
I0315 05:12:01.036293 26931 solver.cpp:203]     Train net output #0: loss = 5.94618 (* 1 = 5.94618 loss)
I0315 05:12:01.036314 26931 solver.cpp:449] Iteration 480, lr = 0.005
I0315 05:13:23.460681 26931 solver.cpp:188] Iteration 520, loss = 6.09833
I0315 05:13:23.460800 26931 solver.cpp:203]     Train net output #0: loss = 6.09833 (* 1 = 6.09833 loss)
I0315 05:13:23.460811 26931 solver.cpp:449] Iteration 520, lr = 0.005
I0315 05:14:51.209365 26931 solver.cpp:188] Iteration 560, loss = 6.00721
I0315 05:14:51.209507 26931 solver.cpp:203]     Train net output #0: loss = 6.00721 (* 1 = 6.00721 loss)
I0315 05:14:51.209517 26931 solver.cpp:449] Iteration 560, lr = 0.005
I0315 05:16:22.568259 26931 solver.cpp:188] Iteration 600, loss = 5.99118
I0315 05:16:22.568377 26931 solver.cpp:203]     Train net output #0: loss = 5.99118 (* 1 = 5.99118 loss)
I0315 05:16:22.568397 26931 solver.cpp:449] Iteration 600, lr = 0.005
I0315 05:17:51.622927 26931 solver.cpp:188] Iteration 640, loss = 5.61514
I0315 05:17:51.623062 26931 solver.cpp:203]     Train net output #0: loss = 5.61514 (* 1 = 5.61514 loss)
I0315 05:17:51.623072 26931 solver.cpp:449] Iteration 640, lr = 0.005
I0315 05:19:19.468686 26931 solver.cpp:188] Iteration 680, loss = 5.56693
I0315 05:19:19.468824 26931 solver.cpp:203]     Train net output #0: loss = 5.56693 (* 1 = 5.56693 loss)
I0315 05:19:19.468835 26931 solver.cpp:449] Iteration 680, lr = 0.005
I0315 05:20:47.903301 26931 solver.cpp:188] Iteration 720, loss = 5.64167
I0315 05:20:47.903451 26931 solver.cpp:203]     Train net output #0: loss = 5.64167 (* 1 = 5.64167 loss)
I0315 05:20:47.903472 26931 solver.cpp:449] Iteration 720, lr = 0.005
I0315 05:22:17.545606 26931 solver.cpp:188] Iteration 760, loss = 5.56503
I0315 05:22:17.545729 26931 solver.cpp:203]     Train net output #0: loss = 5.56503 (* 1 = 5.56503 loss)
I0315 05:22:17.545739 26931 solver.cpp:449] Iteration 760, lr = 0.005
I0315 05:23:46.898934 26931 solver.cpp:188] Iteration 800, loss = 5.28476
I0315 05:23:46.899066 26931 solver.cpp:203]     Train net output #0: loss = 5.28476 (* 1 = 5.28476 loss)
I0315 05:23:46.899076 26931 solver.cpp:449] Iteration 800, lr = 0.005
I0315 05:25:17.321585 26931 solver.cpp:188] Iteration 840, loss = 5.2092
I0315 05:25:17.321702 26931 solver.cpp:203]     Train net output #0: loss = 5.2092 (* 1 = 5.2092 loss)
I0315 05:25:17.321723 26931 solver.cpp:449] Iteration 840, lr = 0.005
I0315 05:26:46.608089 26931 solver.cpp:188] Iteration 880, loss = 4.95474
I0315 05:26:46.608227 26931 solver.cpp:203]     Train net output #0: loss = 4.95474 (* 1 = 4.95474 loss)
I0315 05:26:46.608247 26931 solver.cpp:449] Iteration 880, lr = 0.005
I0315 05:28:14.809085 26931 solver.cpp:188] Iteration 920, loss = 4.69526
I0315 05:28:14.809227 26931 solver.cpp:203]     Train net output #0: loss = 4.69526 (* 1 = 4.69526 loss)
I0315 05:28:14.809238 26931 solver.cpp:449] Iteration 920, lr = 0.005
I0315 05:29:42.553663 26931 solver.cpp:188] Iteration 960, loss = 4.66056
I0315 05:29:42.553776 26931 solver.cpp:203]     Train net output #0: loss = 4.66056 (* 1 = 4.66056 loss)
I0315 05:29:42.553786 26931 solver.cpp:449] Iteration 960, lr = 0.005
I0315 05:31:11.906492 26931 solver.cpp:188] Iteration 1000, loss = 4.70201
I0315 05:31:11.906627 26931 solver.cpp:203]     Train net output #0: loss = 4.70201 (* 1 = 4.70201 loss)
I0315 05:31:11.906641 26931 solver.cpp:449] Iteration 1000, lr = 0.005
I0315 05:32:41.681399 26931 solver.cpp:188] Iteration 1040, loss = 4.47283
I0315 05:32:41.681531 26931 solver.cpp:203]     Train net output #0: loss = 4.47283 (* 1 = 4.47283 loss)
I0315 05:32:41.681541 26931 solver.cpp:449] Iteration 1040, lr = 0.005
I0315 05:34:10.320292 26931 solver.cpp:188] Iteration 1080, loss = 4.42738
I0315 05:34:10.320425 26931 solver.cpp:203]     Train net output #0: loss = 4.42738 (* 1 = 4.42738 loss)
I0315 05:34:10.320446 26931 solver.cpp:449] Iteration 1080, lr = 0.005
I0315 05:35:38.239460 26931 solver.cpp:188] Iteration 1120, loss = 4.44121
I0315 05:35:38.239596 26931 solver.cpp:203]     Train net output #0: loss = 4.44121 (* 1 = 4.44121 loss)
I0315 05:35:38.239611 26931 solver.cpp:449] Iteration 1120, lr = 0.005
I0315 05:37:09.839085 26931 solver.cpp:188] Iteration 1160, loss = 4.44093
I0315 05:37:09.839222 26931 solver.cpp:203]     Train net output #0: loss = 4.44093 (* 1 = 4.44093 loss)
I0315 05:37:09.839243 26931 solver.cpp:449] Iteration 1160, lr = 0.005
I0315 05:38:45.845525 26931 solver.cpp:188] Iteration 1200, loss = 3.96669
I0315 05:38:45.845641 26931 solver.cpp:203]     Train net output #0: loss = 3.96669 (* 1 = 3.96669 loss)
I0315 05:38:45.845651 26931 solver.cpp:449] Iteration 1200, lr = 0.005
I0315 05:40:25.080966 26931 solver.cpp:188] Iteration 1240, loss = 3.89051
I0315 05:40:25.081547 26931 solver.cpp:203]     Train net output #0: loss = 3.89051 (* 1 = 3.89051 loss)
I0315 05:40:25.081557 26931 solver.cpp:449] Iteration 1240, lr = 0.005
I0315 05:42:07.095235 26931 solver.cpp:188] Iteration 1280, loss = 3.9521
I0315 05:42:07.095368 26931 solver.cpp:203]     Train net output #0: loss = 3.9521 (* 1 = 3.9521 loss)
I0315 05:42:07.095378 26931 solver.cpp:449] Iteration 1280, lr = 0.005
I0315 05:43:50.641486 26931 solver.cpp:188] Iteration 1320, loss = 3.92193
I0315 05:43:50.641592 26931 solver.cpp:203]     Train net output #0: loss = 3.92193 (* 1 = 3.92193 loss)
I0315 05:43:50.641614 26931 solver.cpp:449] Iteration 1320, lr = 0.005
I0315 05:45:37.140682 26931 solver.cpp:188] Iteration 1360, loss = 3.82118
I0315 05:45:37.140812 26931 solver.cpp:203]     Train net output #0: loss = 3.82118 (* 1 = 3.82118 loss)
I0315 05:45:37.140822 26931 solver.cpp:449] Iteration 1360, lr = 0.005
I0315 05:47:25.495725 26931 solver.cpp:188] Iteration 1400, loss = 3.75064
I0315 05:47:25.495837 26931 solver.cpp:203]     Train net output #0: loss = 3.75064 (* 1 = 3.75064 loss)
I0315 05:47:25.495848 26931 solver.cpp:449] Iteration 1400, lr = 0.005
I0315 05:49:16.663357 26931 solver.cpp:188] Iteration 1440, loss = 3.72392
I0315 05:49:16.663488 26931 solver.cpp:203]     Train net output #0: loss = 3.72392 (* 1 = 3.72392 loss)
I0315 05:49:16.663498 26931 solver.cpp:449] Iteration 1440, lr = 0.005
I0315 05:51:08.376250 26931 solver.cpp:188] Iteration 1480, loss = 3.58301
I0315 05:51:08.376364 26931 solver.cpp:203]     Train net output #0: loss = 3.58301 (* 1 = 3.58301 loss)
I0315 05:51:08.376374 26931 solver.cpp:449] Iteration 1480, lr = 0.005
I0315 05:53:00.032214 26931 solver.cpp:188] Iteration 1520, loss = 3.50427
I0315 05:53:00.032335 26931 solver.cpp:203]     Train net output #0: loss = 3.50427 (* 1 = 3.50427 loss)
I0315 05:53:00.032346 26931 solver.cpp:449] Iteration 1520, lr = 0.005
I0315 05:54:50.950434 26931 solver.cpp:188] Iteration 1560, loss = 3.38233
I0315 05:54:50.950670 26931 solver.cpp:203]     Train net output #0: loss = 3.38233 (* 1 = 3.38233 loss)
I0315 05:54:50.950681 26931 solver.cpp:449] Iteration 1560, lr = 0.005
I0315 05:56:44.615491 26931 solver.cpp:188] Iteration 1600, loss = 3.56485
I0315 05:56:44.615608 26931 solver.cpp:203]     Train net output #0: loss = 3.56485 (* 1 = 3.56485 loss)
I0315 05:56:44.615618 26931 solver.cpp:449] Iteration 1600, lr = 0.005
I0315 05:58:37.195516 26931 solver.cpp:188] Iteration 1640, loss = 3.38594
I0315 05:58:37.195658 26931 solver.cpp:203]     Train net output #0: loss = 3.38594 (* 1 = 3.38594 loss)
I0315 05:58:37.195679 26931 solver.cpp:449] Iteration 1640, lr = 0.005
I0315 06:00:27.316630 26931 solver.cpp:188] Iteration 1680, loss = 3.26581
I0315 06:00:27.316753 26931 solver.cpp:203]     Train net output #0: loss = 3.26581 (* 1 = 3.26581 loss)
I0315 06:00:27.316764 26931 solver.cpp:449] Iteration 1680, lr = 0.005
I0315 06:02:18.449918 26931 solver.cpp:188] Iteration 1720, loss = 3.20869
I0315 06:02:18.450068 26931 solver.cpp:203]     Train net output #0: loss = 3.20869 (* 1 = 3.20869 loss)
I0315 06:02:18.450079 26931 solver.cpp:449] Iteration 1720, lr = 0.005
I0315 06:04:08.494279 26931 solver.cpp:188] Iteration 1760, loss = 3.12923
I0315 06:04:08.494480 26931 solver.cpp:203]     Train net output #0: loss = 3.12923 (* 1 = 3.12923 loss)
I0315 06:04:08.494503 26931 solver.cpp:449] Iteration 1760, lr = 0.005
I0315 06:05:57.641729 26931 solver.cpp:188] Iteration 1800, loss = 3.17329
I0315 06:05:57.641850 26931 solver.cpp:203]     Train net output #0: loss = 3.17329 (* 1 = 3.17329 loss)
I0315 06:05:57.641860 26931 solver.cpp:449] Iteration 1800, lr = 0.005
I0315 06:07:44.124351 26931 solver.cpp:188] Iteration 1840, loss = 3.00344
I0315 06:07:44.124471 26931 solver.cpp:203]     Train net output #0: loss = 3.00344 (* 1 = 3.00344 loss)
I0315 06:07:44.124482 26931 solver.cpp:449] Iteration 1840, lr = 0.005
I0315 06:09:29.059649 26931 solver.cpp:188] Iteration 1880, loss = 3.08359
I0315 06:09:29.059778 26931 solver.cpp:203]     Train net output #0: loss = 3.08359 (* 1 = 3.08359 loss)
I0315 06:09:29.059789 26931 solver.cpp:449] Iteration 1880, lr = 0.005
I0315 06:11:10.189394 26931 solver.cpp:188] Iteration 1920, loss = 3.02135
I0315 06:11:10.189520 26931 solver.cpp:203]     Train net output #0: loss = 3.02135 (* 1 = 3.02135 loss)
I0315 06:11:10.189530 26931 solver.cpp:449] Iteration 1920, lr = 0.005
I0315 06:12:49.562947 26931 solver.cpp:188] Iteration 1960, loss = 3.05639
I0315 06:12:49.563170 26931 solver.cpp:203]     Train net output #0: loss = 3.05639 (* 1 = 3.05639 loss)
I0315 06:12:49.563202 26931 solver.cpp:449] Iteration 1960, lr = 0.005
I0315 06:14:28.055750 26931 solver.cpp:188] Iteration 2000, loss = 2.91325
I0315 06:14:28.055862 26931 solver.cpp:203]     Train net output #0: loss = 2.91325 (* 1 = 2.91325 loss)
I0315 06:14:28.055872 26931 solver.cpp:449] Iteration 2000, lr = 0.005
I0315 06:16:04.090646 26931 solver.cpp:188] Iteration 2040, loss = 3.04857
I0315 06:16:04.090777 26931 solver.cpp:203]     Train net output #0: loss = 3.04857 (* 1 = 3.04857 loss)
I0315 06:16:04.090787 26931 solver.cpp:449] Iteration 2040, lr = 0.005
I0315 06:17:39.592696 26931 solver.cpp:188] Iteration 2080, loss = 2.9471
I0315 06:17:39.592831 26931 solver.cpp:203]     Train net output #0: loss = 2.9471 (* 1 = 2.9471 loss)
I0315 06:17:39.592842 26931 solver.cpp:449] Iteration 2080, lr = 0.005
I0315 06:19:15.390619 26931 solver.cpp:188] Iteration 2120, loss = 2.93384
I0315 06:19:15.390753 26931 solver.cpp:203]     Train net output #0: loss = 2.93384 (* 1 = 2.93384 loss)
I0315 06:19:15.390763 26931 solver.cpp:449] Iteration 2120, lr = 0.005
I0315 06:20:49.612215 26931 solver.cpp:188] Iteration 2160, loss = 3.04356
I0315 06:20:49.612339 26931 solver.cpp:203]     Train net output #0: loss = 3.04356 (* 1 = 3.04356 loss)
I0315 06:20:49.612351 26931 solver.cpp:449] Iteration 2160, lr = 0.005
I0315 06:22:22.074789 26931 solver.cpp:188] Iteration 2200, loss = 2.83622
I0315 06:22:22.074970 26931 solver.cpp:203]     Train net output #0: loss = 2.83622 (* 1 = 2.83622 loss)
I0315 06:22:22.074982 26931 solver.cpp:449] Iteration 2200, lr = 0.005
I0315 06:23:55.351800 26931 solver.cpp:188] Iteration 2240, loss = 2.59715
I0315 06:23:55.351953 26931 solver.cpp:203]     Train net output #0: loss = 2.59715 (* 1 = 2.59715 loss)
I0315 06:23:55.351963 26931 solver.cpp:449] Iteration 2240, lr = 0.005
I0315 06:25:28.681879 26931 solver.cpp:188] Iteration 2280, loss = 2.90122
I0315 06:25:28.681992 26931 solver.cpp:203]     Train net output #0: loss = 2.90122 (* 1 = 2.90122 loss)
I0315 06:25:28.682001 26931 solver.cpp:449] Iteration 2280, lr = 0.005
I0315 06:27:03.147519 26931 solver.cpp:188] Iteration 2320, loss = 3.02
I0315 06:27:03.147660 26931 solver.cpp:203]     Train net output #0: loss = 3.02 (* 1 = 3.02 loss)
I0315 06:27:03.147673 26931 solver.cpp:449] Iteration 2320, lr = 0.005
I0315 06:28:38.548416 26931 solver.cpp:188] Iteration 2360, loss = 2.79811
I0315 06:28:38.548545 26931 solver.cpp:203]     Train net output #0: loss = 2.79811 (* 1 = 2.79811 loss)
I0315 06:28:38.548557 26931 solver.cpp:449] Iteration 2360, lr = 0.005
I0315 06:30:14.343930 26931 solver.cpp:188] Iteration 2400, loss = 2.56308
I0315 06:30:14.344063 26931 solver.cpp:203]     Train net output #0: loss = 2.56308 (* 1 = 2.56308 loss)
I0315 06:30:14.344084 26931 solver.cpp:449] Iteration 2400, lr = 0.005
I0315 06:31:51.105129 26931 solver.cpp:188] Iteration 2440, loss = 2.56419
I0315 06:31:51.105259 26931 solver.cpp:203]     Train net output #0: loss = 2.56419 (* 1 = 2.56419 loss)
I0315 06:31:51.105270 26931 solver.cpp:449] Iteration 2440, lr = 0.005
I0315 06:33:25.619294 26931 solver.cpp:188] Iteration 2480, loss = 2.6659
I0315 06:33:25.619408 26931 solver.cpp:203]     Train net output #0: loss = 2.6659 (* 1 = 2.6659 loss)
I0315 06:33:25.619418 26931 solver.cpp:449] Iteration 2480, lr = 0.005
I0315 06:35:02.557716 26931 solver.cpp:188] Iteration 2520, loss = 2.78684
I0315 06:35:02.557835 26931 solver.cpp:203]     Train net output #0: loss = 2.78684 (* 1 = 2.78684 loss)
I0315 06:35:02.557845 26931 solver.cpp:449] Iteration 2520, lr = 0.005
I0315 06:36:39.845686 26931 solver.cpp:188] Iteration 2560, loss = 2.70367
I0315 06:36:39.845834 26931 solver.cpp:203]     Train net output #0: loss = 2.70367 (* 1 = 2.70367 loss)
I0315 06:36:39.845845 26931 solver.cpp:449] Iteration 2560, lr = 0.005
I0315 06:38:16.925221 26931 solver.cpp:188] Iteration 2600, loss = 2.71491
I0315 06:38:16.925449 26931 solver.cpp:203]     Train net output #0: loss = 2.71491 (* 1 = 2.71491 loss)
I0315 06:38:16.925462 26931 solver.cpp:449] Iteration 2600, lr = 0.005
I0315 06:39:54.844416 26931 solver.cpp:188] Iteration 2640, loss = 2.7635
I0315 06:39:54.844538 26931 solver.cpp:203]     Train net output #0: loss = 2.7635 (* 1 = 2.7635 loss)
I0315 06:39:54.844558 26931 solver.cpp:449] Iteration 2640, lr = 0.005
I0315 06:41:35.368468 26931 solver.cpp:188] Iteration 2680, loss = 2.67663
I0315 06:41:35.373605 26931 solver.cpp:203]     Train net output #0: loss = 2.67663 (* 1 = 2.67663 loss)
I0315 06:41:35.373615 26931 solver.cpp:449] Iteration 2680, lr = 0.005
I0315 06:43:16.974164 26931 solver.cpp:188] Iteration 2720, loss = 2.54778
I0315 06:43:16.974298 26931 solver.cpp:203]     Train net output #0: loss = 2.54778 (* 1 = 2.54778 loss)
I0315 06:43:16.974311 26931 solver.cpp:449] Iteration 2720, lr = 0.005
I0315 06:45:00.294510 26931 solver.cpp:188] Iteration 2760, loss = 2.46995
I0315 06:45:00.294613 26931 solver.cpp:203]     Train net output #0: loss = 2.46995 (* 1 = 2.46995 loss)
I0315 06:45:00.294633 26931 solver.cpp:449] Iteration 2760, lr = 0.005
I0315 06:46:43.137773 26931 solver.cpp:188] Iteration 2800, loss = 2.60077
I0315 06:46:43.137891 26931 solver.cpp:203]     Train net output #0: loss = 2.60077 (* 1 = 2.60077 loss)
I0315 06:46:43.137912 26931 solver.cpp:449] Iteration 2800, lr = 0.005
I0315 06:48:25.428580 26931 solver.cpp:188] Iteration 2840, loss = 2.82793
I0315 06:48:25.428664 26931 solver.cpp:203]     Train net output #0: loss = 2.82793 (* 1 = 2.82793 loss)
I0315 06:48:25.428675 26931 solver.cpp:449] Iteration 2840, lr = 0.005
I0315 06:50:07.083645 26931 solver.cpp:188] Iteration 2880, loss = 2.73429
I0315 06:50:07.083783 26931 solver.cpp:203]     Train net output #0: loss = 2.73429 (* 1 = 2.73429 loss)
I0315 06:50:07.083794 26931 solver.cpp:449] Iteration 2880, lr = 0.005
I0315 06:51:49.695236 26931 solver.cpp:188] Iteration 2920, loss = 2.52455
I0315 06:51:49.695377 26931 solver.cpp:203]     Train net output #0: loss = 2.52455 (* 1 = 2.52455 loss)
I0315 06:51:49.695387 26931 solver.cpp:449] Iteration 2920, lr = 0.005
I0315 06:53:33.973460 26931 solver.cpp:188] Iteration 2960, loss = 2.38655
I0315 06:53:33.973577 26931 solver.cpp:203]     Train net output #0: loss = 2.38655 (* 1 = 2.38655 loss)
I0315 06:53:33.973588 26931 solver.cpp:449] Iteration 2960, lr = 0.005
I0315 06:55:17.097479 26931 solver.cpp:188] Iteration 3000, loss = 2.58127
I0315 06:55:17.097594 26931 solver.cpp:203]     Train net output #0: loss = 2.58127 (* 1 = 2.58127 loss)
I0315 06:55:17.097604 26931 solver.cpp:449] Iteration 3000, lr = 0.005
I0315 06:57:00.370021 26931 solver.cpp:188] Iteration 3040, loss = 2.64939
I0315 06:57:00.370159 26931 solver.cpp:203]     Train net output #0: loss = 2.64939 (* 1 = 2.64939 loss)
I0315 06:57:00.370170 26931 solver.cpp:449] Iteration 3040, lr = 0.005
I0315 06:58:42.153744 26931 solver.cpp:188] Iteration 3080, loss = 2.40446
I0315 06:58:42.153877 26931 solver.cpp:203]     Train net output #0: loss = 2.40446 (* 1 = 2.40446 loss)
I0315 06:58:42.153887 26931 solver.cpp:449] Iteration 3080, lr = 0.005
I0315 07:00:23.222244 26931 solver.cpp:188] Iteration 3120, loss = 2.4873
I0315 07:00:23.222343 26931 solver.cpp:203]     Train net output #0: loss = 2.4873 (* 1 = 2.4873 loss)
I0315 07:00:23.222353 26931 solver.cpp:449] Iteration 3120, lr = 0.005
I0315 07:02:05.121685 26931 solver.cpp:188] Iteration 3160, loss = 2.55366
I0315 07:02:05.121811 26931 solver.cpp:203]     Train net output #0: loss = 2.55366 (* 1 = 2.55366 loss)
I0315 07:02:05.121821 26931 solver.cpp:449] Iteration 3160, lr = 0.005
I0315 07:03:47.067364 26931 solver.cpp:188] Iteration 3200, loss = 2.53692
I0315 07:03:47.067530 26931 solver.cpp:203]     Train net output #0: loss = 2.53692 (* 1 = 2.53692 loss)
I0315 07:03:47.067545 26931 solver.cpp:449] Iteration 3200, lr = 0.005
I0315 07:05:28.698571 26931 solver.cpp:188] Iteration 3240, loss = 2.36178
I0315 07:05:28.699471 26931 solver.cpp:203]     Train net output #0: loss = 2.36178 (* 1 = 2.36178 loss)
I0315 07:05:28.699482 26931 solver.cpp:449] Iteration 3240, lr = 0.005
I0315 07:07:08.716061 26931 solver.cpp:188] Iteration 3280, loss = 2.50531
I0315 07:07:08.716253 26931 solver.cpp:203]     Train net output #0: loss = 2.50531 (* 1 = 2.50531 loss)
I0315 07:07:08.716264 26931 solver.cpp:449] Iteration 3280, lr = 0.005
I0315 07:08:49.294739 26931 solver.cpp:188] Iteration 3320, loss = 2.51305
I0315 07:08:49.294852 26931 solver.cpp:203]     Train net output #0: loss = 2.51305 (* 1 = 2.51305 loss)
I0315 07:08:49.294862 26931 solver.cpp:449] Iteration 3320, lr = 0.005
I0315 07:10:26.051712 26931 solver.cpp:188] Iteration 3360, loss = 2.3432
I0315 07:10:26.051841 26931 solver.cpp:203]     Train net output #0: loss = 2.3432 (* 1 = 2.3432 loss)
I0315 07:10:26.051851 26931 solver.cpp:449] Iteration 3360, lr = 0.005
I0315 07:12:03.643770 26931 solver.cpp:188] Iteration 3400, loss = 2.26236
I0315 07:12:03.643889 26931 solver.cpp:203]     Train net output #0: loss = 2.26236 (* 1 = 2.26236 loss)
I0315 07:12:03.643908 26931 solver.cpp:449] Iteration 3400, lr = 0.005
I0315 07:13:40.646850 26931 solver.cpp:188] Iteration 3440, loss = 2.40437
I0315 07:13:40.647044 26931 solver.cpp:203]     Train net output #0: loss = 2.40437 (* 1 = 2.40437 loss)
I0315 07:13:40.647056 26931 solver.cpp:449] Iteration 3440, lr = 0.005
I0315 07:15:20.357689 26931 solver.cpp:188] Iteration 3480, loss = 2.43087
I0315 07:15:20.357825 26931 solver.cpp:203]     Train net output #0: loss = 2.43087 (* 1 = 2.43087 loss)
I0315 07:15:20.357836 26931 solver.cpp:449] Iteration 3480, lr = 0.005
I0315 07:16:56.818764 26931 solver.cpp:188] Iteration 3520, loss = 2.34745
I0315 07:16:56.818905 26931 solver.cpp:203]     Train net output #0: loss = 2.34745 (* 1 = 2.34745 loss)
I0315 07:16:56.818927 26931 solver.cpp:449] Iteration 3520, lr = 0.005
I0315 07:18:33.342146 26931 solver.cpp:188] Iteration 3560, loss = 2.43612
I0315 07:18:33.342270 26931 solver.cpp:203]     Train net output #0: loss = 2.43612 (* 1 = 2.43612 loss)
I0315 07:18:33.342280 26931 solver.cpp:449] Iteration 3560, lr = 0.005
I0315 07:20:09.019971 26931 solver.cpp:188] Iteration 3600, loss = 2.26311
I0315 07:20:09.020095 26931 solver.cpp:203]     Train net output #0: loss = 2.26311 (* 1 = 2.26311 loss)
I0315 07:20:09.020107 26931 solver.cpp:449] Iteration 3600, lr = 0.005
I0315 07:21:47.077687 26931 solver.cpp:188] Iteration 3640, loss = 2.31179
I0315 07:21:47.077805 26931 solver.cpp:203]     Train net output #0: loss = 2.31179 (* 1 = 2.31179 loss)
I0315 07:21:47.077814 26931 solver.cpp:449] Iteration 3640, lr = 0.005
I0315 07:23:24.030483 26931 solver.cpp:188] Iteration 3680, loss = 2.36793
I0315 07:23:24.030597 26931 solver.cpp:203]     Train net output #0: loss = 2.36793 (* 1 = 2.36793 loss)
I0315 07:23:24.030608 26931 solver.cpp:449] Iteration 3680, lr = 0.005
I0315 07:25:01.098230 26931 solver.cpp:188] Iteration 3720, loss = 2.34463
I0315 07:25:01.098328 26931 solver.cpp:203]     Train net output #0: loss = 2.34463 (* 1 = 2.34463 loss)
I0315 07:25:01.098347 26931 solver.cpp:449] Iteration 3720, lr = 0.005
I0315 07:26:39.250294 26931 solver.cpp:188] Iteration 3760, loss = 2.47076
I0315 07:26:39.250424 26931 solver.cpp:203]     Train net output #0: loss = 2.47076 (* 1 = 2.47076 loss)
I0315 07:26:39.250435 26931 solver.cpp:449] Iteration 3760, lr = 0.005
I0315 07:28:18.543977 26931 solver.cpp:188] Iteration 3800, loss = 2.41727
I0315 07:28:18.544101 26931 solver.cpp:203]     Train net output #0: loss = 2.41727 (* 1 = 2.41727 loss)
I0315 07:28:18.544112 26931 solver.cpp:449] Iteration 3800, lr = 0.005
I0315 07:29:56.567710 26931 solver.cpp:188] Iteration 3840, loss = 2.37314
I0315 07:29:56.567852 26931 solver.cpp:203]     Train net output #0: loss = 2.37314 (* 1 = 2.37314 loss)
I0315 07:29:56.567862 26931 solver.cpp:449] Iteration 3840, lr = 0.005
I0315 07:31:33.358301 26931 solver.cpp:188] Iteration 3880, loss = 2.36371
I0315 07:31:33.358432 26931 solver.cpp:203]     Train net output #0: loss = 2.36371 (* 1 = 2.36371 loss)
I0315 07:31:33.358448 26931 solver.cpp:449] Iteration 3880, lr = 0.005
I0315 07:33:10.786953 26931 solver.cpp:188] Iteration 3920, loss = 2.37437
I0315 07:33:10.787075 26931 solver.cpp:203]     Train net output #0: loss = 2.37437 (* 1 = 2.37437 loss)
I0315 07:33:10.787086 26931 solver.cpp:449] Iteration 3920, lr = 0.005
I0315 07:34:48.656949 26931 solver.cpp:188] Iteration 3960, loss = 2.26268
I0315 07:34:48.657088 26931 solver.cpp:203]     Train net output #0: loss = 2.26268 (* 1 = 2.26268 loss)
I0315 07:34:48.657099 26931 solver.cpp:449] Iteration 3960, lr = 0.005
I0315 07:36:27.616178 26931 solver.cpp:188] Iteration 4000, loss = 2.22476
I0315 07:36:27.616327 26931 solver.cpp:203]     Train net output #0: loss = 2.22476 (* 1 = 2.22476 loss)
I0315 07:36:27.616348 26931 solver.cpp:449] Iteration 4000, lr = 0.005
I0315 07:38:08.149639 26931 solver.cpp:188] Iteration 4040, loss = 2.35367
I0315 07:38:08.149760 26931 solver.cpp:203]     Train net output #0: loss = 2.35367 (* 1 = 2.35367 loss)
I0315 07:38:08.149770 26931 solver.cpp:449] Iteration 4040, lr = 0.005
I0315 07:39:46.793824 26931 solver.cpp:188] Iteration 4080, loss = 2.29201
I0315 07:39:46.793943 26931 solver.cpp:203]     Train net output #0: loss = 2.29201 (* 1 = 2.29201 loss)
I0315 07:39:46.793953 26931 solver.cpp:449] Iteration 4080, lr = 0.005
I0315 07:41:26.997412 26931 solver.cpp:188] Iteration 4120, loss = 2.34371
I0315 07:41:26.997524 26931 solver.cpp:203]     Train net output #0: loss = 2.34371 (* 1 = 2.34371 loss)
I0315 07:41:26.997534 26931 solver.cpp:449] Iteration 4120, lr = 0.005
I0315 07:43:06.703773 26931 solver.cpp:188] Iteration 4160, loss = 2.27172
I0315 07:43:06.703905 26931 solver.cpp:203]     Train net output #0: loss = 2.27172 (* 1 = 2.27172 loss)
I0315 07:43:06.703917 26931 solver.cpp:449] Iteration 4160, lr = 0.005
I0315 07:44:48.013830 26931 solver.cpp:188] Iteration 4200, loss = 2.1248
I0315 07:44:48.013974 26931 solver.cpp:203]     Train net output #0: loss = 2.1248 (* 1 = 2.1248 loss)
I0315 07:44:48.013985 26931 solver.cpp:449] Iteration 4200, lr = 0.005
I0315 07:46:29.625136 26931 solver.cpp:188] Iteration 4240, loss = 2.29343
I0315 07:46:29.625259 26931 solver.cpp:203]     Train net output #0: loss = 2.29343 (* 1 = 2.29343 loss)
I0315 07:46:29.625269 26931 solver.cpp:449] Iteration 4240, lr = 0.005
I0315 07:48:11.330283 26931 solver.cpp:188] Iteration 4280, loss = 2.25977
I0315 07:48:11.330396 26931 solver.cpp:203]     Train net output #0: loss = 2.25977 (* 1 = 2.25977 loss)
I0315 07:48:11.330407 26931 solver.cpp:449] Iteration 4280, lr = 0.005
I0315 07:49:53.619139 26931 solver.cpp:188] Iteration 4320, loss = 2.342
I0315 07:49:53.619246 26931 solver.cpp:203]     Train net output #0: loss = 2.342 (* 1 = 2.342 loss)
I0315 07:49:53.619266 26931 solver.cpp:449] Iteration 4320, lr = 0.005
I0315 07:51:36.301194 26931 solver.cpp:188] Iteration 4360, loss = 2.39554
I0315 07:51:36.301353 26931 solver.cpp:203]     Train net output #0: loss = 2.39554 (* 1 = 2.39554 loss)
I0315 07:51:36.301363 26931 solver.cpp:449] Iteration 4360, lr = 0.005
I0315 07:53:16.818188 26931 solver.cpp:188] Iteration 4400, loss = 2.37511
I0315 07:53:16.818447 26931 solver.cpp:203]     Train net output #0: loss = 2.37511 (* 1 = 2.37511 loss)
I0315 07:53:16.818459 26931 solver.cpp:449] Iteration 4400, lr = 0.005
I0315 07:54:25.080579 26931 solver.cpp:188] Iteration 4440, loss = 2.03056
I0315 07:54:25.080713 26931 solver.cpp:203]     Train net output #0: loss = 2.03056 (* 1 = 2.03056 loss)
I0315 07:54:25.080723 26931 solver.cpp:449] Iteration 4440, lr = 0.005
I0315 07:55:17.628978 26931 solver.cpp:188] Iteration 4480, loss = 2.05948
I0315 07:55:17.629129 26931 solver.cpp:203]     Train net output #0: loss = 2.05948 (* 1 = 2.05948 loss)
I0315 07:55:17.629138 26931 solver.cpp:449] Iteration 4480, lr = 0.005
I0315 07:56:10.592049 26931 solver.cpp:188] Iteration 4520, loss = 2.31502
I0315 07:56:10.592188 26931 solver.cpp:203]     Train net output #0: loss = 2.31502 (* 1 = 2.31502 loss)
I0315 07:56:10.592203 26931 solver.cpp:449] Iteration 4520, lr = 0.005
I0315 07:57:06.554143 26931 solver.cpp:188] Iteration 4560, loss = 2.28983
I0315 07:57:06.554275 26931 solver.cpp:203]     Train net output #0: loss = 2.28983 (* 1 = 2.28983 loss)
I0315 07:57:06.554286 26931 solver.cpp:449] Iteration 4560, lr = 0.005
I0315 07:58:03.458148 26931 solver.cpp:188] Iteration 4600, loss = 2.38511
I0315 07:58:03.458269 26931 solver.cpp:203]     Train net output #0: loss = 2.38511 (* 1 = 2.38511 loss)
I0315 07:58:03.458279 26931 solver.cpp:449] Iteration 4600, lr = 0.005
I0315 07:59:08.175528 26931 solver.cpp:188] Iteration 4640, loss = 2.32338
I0315 07:59:08.175660 26931 solver.cpp:203]     Train net output #0: loss = 2.32338 (* 1 = 2.32338 loss)
I0315 07:59:08.175672 26931 solver.cpp:449] Iteration 4640, lr = 0.005
I0315 08:00:16.574059 26931 solver.cpp:188] Iteration 4680, loss = 2.07349
I0315 08:00:16.574178 26931 solver.cpp:203]     Train net output #0: loss = 2.07349 (* 1 = 2.07349 loss)
I0315 08:00:16.574189 26931 solver.cpp:449] Iteration 4680, lr = 0.005
I0315 08:01:27.943784 26931 solver.cpp:188] Iteration 4720, loss = 2.10724
I0315 08:01:27.944197 26931 solver.cpp:203]     Train net output #0: loss = 2.10724 (* 1 = 2.10724 loss)
I0315 08:01:27.944210 26931 solver.cpp:449] Iteration 4720, lr = 0.005
I0315 08:02:42.266387 26931 solver.cpp:188] Iteration 4760, loss = 2.14941
I0315 08:02:42.266513 26931 solver.cpp:203]     Train net output #0: loss = 2.14941 (* 1 = 2.14941 loss)
I0315 08:02:42.266525 26931 solver.cpp:449] Iteration 4760, lr = 0.005
I0315 08:04:01.004287 26931 solver.cpp:188] Iteration 4800, loss = 2.29871
I0315 08:04:01.004437 26931 solver.cpp:203]     Train net output #0: loss = 2.29871 (* 1 = 2.29871 loss)
I0315 08:04:01.004448 26931 solver.cpp:449] Iteration 4800, lr = 0.005
I0315 08:05:23.509371 26931 solver.cpp:188] Iteration 4840, loss = 2.19145
I0315 08:05:23.509522 26931 solver.cpp:203]     Train net output #0: loss = 2.19145 (* 1 = 2.19145 loss)
I0315 08:05:23.509533 26931 solver.cpp:449] Iteration 4840, lr = 0.005
I0315 08:06:49.130283 26931 solver.cpp:188] Iteration 4880, loss = 2.18461
I0315 08:06:49.130417 26931 solver.cpp:203]     Train net output #0: loss = 2.18461 (* 1 = 2.18461 loss)
I0315 08:06:49.130427 26931 solver.cpp:449] Iteration 4880, lr = 0.005
I0315 08:08:20.341099 26931 solver.cpp:188] Iteration 4920, loss = 2.05609
I0315 08:08:20.341253 26931 solver.cpp:203]     Train net output #0: loss = 2.05609 (* 1 = 2.05609 loss)
I0315 08:08:20.341264 26931 solver.cpp:449] Iteration 4920, lr = 0.005
I0315 08:09:57.933965 26931 solver.cpp:188] Iteration 4960, loss = 2.29883
I0315 08:09:57.934093 26931 solver.cpp:203]     Train net output #0: loss = 2.29883 (* 1 = 2.29883 loss)
I0315 08:09:57.934104 26931 solver.cpp:449] Iteration 4960, lr = 0.005
I0315 08:11:39.722708 26931 solver.cpp:337] Snapshotting to cache/flic/flic_iter_5000.caffemodel
I0315 08:11:41.150382 26931 solver.cpp:345] Snapshotting solver state to cache/flic/flic_iter_5000.solverstate
I0315 08:11:41.556226 26931 solver.cpp:266] Iteration 5000, Testing net (#0)
I0315 08:12:45.251512 26931 solver.cpp:317]     Test net output #0: accuracy = 0.44575
I0315 08:12:45.251637 26931 solver.cpp:317]     Test net output #1: loss = 2.0256 (* 1 = 2.0256 loss)
I0315 08:12:45.366354 26931 solver.cpp:188] Iteration 5000, loss = 2.09274
I0315 08:12:45.366401 26931 solver.cpp:203]     Train net output #0: loss = 2.09274 (* 1 = 2.09274 loss)
I0315 08:12:45.366410 26931 solver.cpp:449] Iteration 5000, lr = 0.005
I0315 08:14:42.954253 26931 solver.cpp:188] Iteration 5040, loss = 2.00719
I0315 08:14:42.954375 26931 solver.cpp:203]     Train net output #0: loss = 2.00719 (* 1 = 2.00719 loss)
I0315 08:14:42.954394 26931 solver.cpp:449] Iteration 5040, lr = 0.005
I0315 08:16:38.617564 26931 solver.cpp:188] Iteration 5080, loss = 1.98291
I0315 08:16:38.617678 26931 solver.cpp:203]     Train net output #0: loss = 1.98291 (* 1 = 1.98291 loss)
I0315 08:16:38.617688 26931 solver.cpp:449] Iteration 5080, lr = 0.005
I0315 08:18:34.005923 26931 solver.cpp:188] Iteration 5120, loss = 2.10694
I0315 08:18:34.006105 26931 solver.cpp:203]     Train net output #0: loss = 2.10694 (* 1 = 2.10694 loss)
I0315 08:18:34.006119 26931 solver.cpp:449] Iteration 5120, lr = 0.005
I0315 08:20:32.781304 26931 solver.cpp:188] Iteration 5160, loss = 2.14669
I0315 08:20:32.781409 26931 solver.cpp:203]     Train net output #0: loss = 2.14669 (* 1 = 2.14669 loss)
I0315 08:20:32.781419 26931 solver.cpp:449] Iteration 5160, lr = 0.005
I0315 08:22:30.163715 26931 solver.cpp:188] Iteration 5200, loss = 2.04521
I0315 08:22:30.163851 26931 solver.cpp:203]     Train net output #0: loss = 2.04521 (* 1 = 2.04521 loss)
I0315 08:22:30.163861 26931 solver.cpp:449] Iteration 5200, lr = 0.005
I0315 08:24:29.268553 26931 solver.cpp:188] Iteration 5240, loss = 2.14802
I0315 08:24:29.268666 26931 solver.cpp:203]     Train net output #0: loss = 2.14802 (* 1 = 2.14802 loss)
I0315 08:24:29.268687 26931 solver.cpp:449] Iteration 5240, lr = 0.005
I0315 08:26:29.951313 26931 solver.cpp:188] Iteration 5280, loss = 2.009
I0315 08:26:29.951445 26931 solver.cpp:203]     Train net output #0: loss = 2.009 (* 1 = 2.009 loss)
I0315 08:26:29.951467 26931 solver.cpp:449] Iteration 5280, lr = 0.005
I0315 08:28:27.637356 26931 solver.cpp:188] Iteration 5320, loss = 2.14924
I0315 08:28:27.637476 26931 solver.cpp:203]     Train net output #0: loss = 2.14924 (* 1 = 2.14924 loss)
I0315 08:28:27.637487 26931 solver.cpp:449] Iteration 5320, lr = 0.005
I0315 08:30:21.769098 26931 solver.cpp:188] Iteration 5360, loss = 2.19309
I0315 08:30:21.769219 26931 solver.cpp:203]     Train net output #0: loss = 2.19309 (* 1 = 2.19309 loss)
I0315 08:30:21.769229 26931 solver.cpp:449] Iteration 5360, lr = 0.005
I0315 08:32:15.340113 26931 solver.cpp:188] Iteration 5400, loss = 2.11213
I0315 08:32:15.340250 26931 solver.cpp:203]     Train net output #0: loss = 2.11213 (* 1 = 2.11213 loss)
I0315 08:32:15.340261 26931 solver.cpp:449] Iteration 5400, lr = 0.005
I0315 08:34:11.339290 26931 solver.cpp:188] Iteration 5440, loss = 2.0585
I0315 08:34:11.339452 26931 solver.cpp:203]     Train net output #0: loss = 2.0585 (* 1 = 2.0585 loss)
I0315 08:34:11.339462 26931 solver.cpp:449] Iteration 5440, lr = 0.005
I0315 08:36:05.694476 26931 solver.cpp:188] Iteration 5480, loss = 2.00205
I0315 08:36:05.694609 26931 solver.cpp:203]     Train net output #0: loss = 2.00205 (* 1 = 2.00205 loss)
I0315 08:36:05.694620 26931 solver.cpp:449] Iteration 5480, lr = 0.005
I0315 08:37:59.957574 26931 solver.cpp:188] Iteration 5520, loss = 1.9385
I0315 08:37:59.957711 26931 solver.cpp:203]     Train net output #0: loss = 1.9385 (* 1 = 1.9385 loss)
I0315 08:37:59.957723 26931 solver.cpp:449] Iteration 5520, lr = 0.005
I0315 08:39:55.025306 26931 solver.cpp:188] Iteration 5560, loss = 2.11125
I0315 08:39:55.025441 26931 solver.cpp:203]     Train net output #0: loss = 2.11125 (* 1 = 2.11125 loss)
I0315 08:39:55.025454 26931 solver.cpp:449] Iteration 5560, lr = 0.005
I0315 08:41:48.543018 26931 solver.cpp:188] Iteration 5600, loss = 2.06568
I0315 08:41:48.543145 26931 solver.cpp:203]     Train net output #0: loss = 2.06568 (* 1 = 2.06568 loss)
I0315 08:41:48.543155 26931 solver.cpp:449] Iteration 5600, lr = 0.005
I0315 08:43:33.848857 26931 solver.cpp:188] Iteration 5640, loss = 2.21296
I0315 08:43:33.848984 26931 solver.cpp:203]     Train net output #0: loss = 2.21296 (* 1 = 2.21296 loss)
I0315 08:43:33.849014 26931 solver.cpp:449] Iteration 5640, lr = 0.005
I0315 08:45:16.603790 26931 solver.cpp:188] Iteration 5680, loss = 2.08444
I0315 08:45:16.603925 26931 solver.cpp:203]     Train net output #0: loss = 2.08444 (* 1 = 2.08444 loss)
I0315 08:45:16.603940 26931 solver.cpp:449] Iteration 5680, lr = 0.005
I0315 08:46:57.564191 26931 solver.cpp:188] Iteration 5720, loss = 1.86987
I0315 08:46:57.564301 26931 solver.cpp:203]     Train net output #0: loss = 1.86987 (* 1 = 1.86987 loss)
I0315 08:46:57.564311 26931 solver.cpp:449] Iteration 5720, lr = 0.005
I0315 08:48:40.966496 26931 solver.cpp:188] Iteration 5760, loss = 2.11591
I0315 08:48:40.966634 26931 solver.cpp:203]     Train net output #0: loss = 2.11591 (* 1 = 2.11591 loss)
I0315 08:48:40.966809 26931 solver.cpp:449] Iteration 5760, lr = 0.005
I0315 08:50:21.913266 26931 solver.cpp:188] Iteration 5800, loss = 1.99359
I0315 08:50:21.913379 26931 solver.cpp:203]     Train net output #0: loss = 1.99359 (* 1 = 1.99359 loss)
I0315 08:50:21.913400 26931 solver.cpp:449] Iteration 5800, lr = 0.005
I0315 08:52:03.899848 26931 solver.cpp:188] Iteration 5840, loss = 1.94347
I0315 08:52:03.899968 26931 solver.cpp:203]     Train net output #0: loss = 1.94347 (* 1 = 1.94347 loss)
I0315 08:52:03.899979 26931 solver.cpp:449] Iteration 5840, lr = 0.005
I0315 08:53:52.102432 26931 solver.cpp:188] Iteration 5880, loss = 1.97591
I0315 08:53:52.102617 26931 solver.cpp:203]     Train net output #0: loss = 1.97591 (* 1 = 1.97591 loss)
I0315 08:53:52.102630 26931 solver.cpp:449] Iteration 5880, lr = 0.005
I0315 08:55:35.715469 26931 solver.cpp:188] Iteration 5920, loss = 2.03741
I0315 08:55:35.715596 26931 solver.cpp:203]     Train net output #0: loss = 2.03741 (* 1 = 2.03741 loss)
I0315 08:55:35.715607 26931 solver.cpp:449] Iteration 5920, lr = 0.005
I0315 08:57:14.762575 26931 solver.cpp:188] Iteration 5960, loss = 2.07022
I0315 08:57:14.762717 26931 solver.cpp:203]     Train net output #0: loss = 2.07022 (* 1 = 2.07022 loss)
I0315 08:57:14.762727 26931 solver.cpp:449] Iteration 5960, lr = 0.005
I0315 08:59:02.060133 26931 solver.cpp:188] Iteration 6000, loss = 1.95746
I0315 08:59:02.060250 26931 solver.cpp:203]     Train net output #0: loss = 1.95746 (* 1 = 1.95746 loss)
I0315 08:59:02.060261 26931 solver.cpp:449] Iteration 6000, lr = 0.005
I0315 09:00:49.394032 26931 solver.cpp:188] Iteration 6040, loss = 1.91061
I0315 09:00:49.394162 26931 solver.cpp:203]     Train net output #0: loss = 1.91061 (* 1 = 1.91061 loss)
I0315 09:00:49.394177 26931 solver.cpp:449] Iteration 6040, lr = 0.005
I0315 09:02:36.867539 26931 solver.cpp:188] Iteration 6080, loss = 2.00515
I0315 09:02:36.867708 26931 solver.cpp:203]     Train net output #0: loss = 2.00515 (* 1 = 2.00515 loss)
I0315 09:02:36.867719 26931 solver.cpp:449] Iteration 6080, lr = 0.005
I0315 09:04:22.032678 26931 solver.cpp:188] Iteration 6120, loss = 2.02672
I0315 09:04:22.032865 26931 solver.cpp:203]     Train net output #0: loss = 2.02672 (* 1 = 2.02672 loss)
I0315 09:04:22.032877 26931 solver.cpp:449] Iteration 6120, lr = 0.005
I0315 09:06:19.904979 26931 solver.cpp:188] Iteration 6160, loss = 1.95047
I0315 09:06:19.905153 26931 solver.cpp:203]     Train net output #0: loss = 1.95047 (* 1 = 1.95047 loss)
I0315 09:06:19.905172 26931 solver.cpp:449] Iteration 6160, lr = 0.005
I0315 09:08:24.203763 26931 solver.cpp:188] Iteration 6200, loss = 1.99499
I0315 09:08:24.203917 26931 solver.cpp:203]     Train net output #0: loss = 1.99499 (* 1 = 1.99499 loss)
I0315 09:08:24.203958 26931 solver.cpp:449] Iteration 6200, lr = 0.005
I0315 09:10:29.245836 26931 solver.cpp:188] Iteration 6240, loss = 2.16103
I0315 09:10:29.246062 26931 solver.cpp:203]     Train net output #0: loss = 2.16103 (* 1 = 2.16103 loss)
I0315 09:10:29.246088 26931 solver.cpp:449] Iteration 6240, lr = 0.005
I0315 09:12:33.083801 26931 solver.cpp:188] Iteration 6280, loss = 1.95661
I0315 09:12:33.084179 26931 solver.cpp:203]     Train net output #0: loss = 1.95661 (* 1 = 1.95661 loss)
I0315 09:12:33.084213 26931 solver.cpp:449] Iteration 6280, lr = 0.005
I0315 09:14:35.846168 26931 solver.cpp:188] Iteration 6320, loss = 1.95675
I0315 09:14:35.846395 26931 solver.cpp:203]     Train net output #0: loss = 1.95675 (* 1 = 1.95675 loss)
I0315 09:14:35.846413 26931 solver.cpp:449] Iteration 6320, lr = 0.005
I0315 09:16:36.623955 26931 solver.cpp:188] Iteration 6360, loss = 2.08878
I0315 09:16:36.624210 26931 solver.cpp:203]     Train net output #0: loss = 2.08878 (* 1 = 2.08878 loss)
I0315 09:16:36.624236 26931 solver.cpp:449] Iteration 6360, lr = 0.005
I0315 09:18:36.574228 26931 solver.cpp:188] Iteration 6400, loss = 1.77677
I0315 09:18:36.574462 26931 solver.cpp:203]     Train net output #0: loss = 1.77677 (* 1 = 1.77677 loss)
I0315 09:18:36.574484 26931 solver.cpp:449] Iteration 6400, lr = 0.005
I0315 09:20:35.118909 26931 solver.cpp:188] Iteration 6440, loss = 1.94188
I0315 09:20:35.119093 26931 solver.cpp:203]     Train net output #0: loss = 1.94188 (* 1 = 1.94188 loss)
I0315 09:20:35.119110 26931 solver.cpp:449] Iteration 6440, lr = 0.005
I0315 09:22:33.735362 26931 solver.cpp:188] Iteration 6480, loss = 2.08505
I0315 09:22:33.735527 26931 solver.cpp:203]     Train net output #0: loss = 2.08505 (* 1 = 2.08505 loss)
I0315 09:22:33.735549 26931 solver.cpp:449] Iteration 6480, lr = 0.005
I0315 09:24:30.046023 26931 solver.cpp:188] Iteration 6520, loss = 1.93373
I0315 09:24:30.046165 26931 solver.cpp:203]     Train net output #0: loss = 1.93373 (* 1 = 1.93373 loss)
I0315 09:24:30.046180 26931 solver.cpp:449] Iteration 6520, lr = 0.005
I0315 09:26:28.601423 26931 solver.cpp:188] Iteration 6560, loss = 2.04219
I0315 09:26:28.601610 26931 solver.cpp:203]     Train net output #0: loss = 2.04219 (* 1 = 2.04219 loss)
I0315 09:26:28.601665 26931 solver.cpp:449] Iteration 6560, lr = 0.005
I0315 09:28:24.489965 26931 solver.cpp:188] Iteration 6600, loss = 1.86044
I0315 09:28:24.490217 26931 solver.cpp:203]     Train net output #0: loss = 1.86044 (* 1 = 1.86044 loss)
I0315 09:28:24.490257 26931 solver.cpp:449] Iteration 6600, lr = 0.005
I0315 09:30:20.417611 26931 solver.cpp:188] Iteration 6640, loss = 2.01549
I0315 09:30:20.417799 26931 solver.cpp:203]     Train net output #0: loss = 2.01549 (* 1 = 2.01549 loss)
I0315 09:30:20.417814 26931 solver.cpp:449] Iteration 6640, lr = 0.005
I0315 09:32:16.250480 26931 solver.cpp:188] Iteration 6680, loss = 1.83152
I0315 09:32:16.251016 26931 solver.cpp:203]     Train net output #0: loss = 1.83152 (* 1 = 1.83152 loss)
I0315 09:32:16.251157 26931 solver.cpp:449] Iteration 6680, lr = 0.005
I0315 09:34:13.768931 26931 solver.cpp:188] Iteration 6720, loss = 1.80347
I0315 09:34:13.769261 26931 solver.cpp:203]     Train net output #0: loss = 1.80347 (* 1 = 1.80347 loss)
I0315 09:34:13.769286 26931 solver.cpp:449] Iteration 6720, lr = 0.005
I0315 09:36:08.414510 26931 solver.cpp:188] Iteration 6760, loss = 1.9625
I0315 09:36:08.414639 26931 solver.cpp:203]     Train net output #0: loss = 1.9625 (* 1 = 1.9625 loss)
I0315 09:36:08.414654 26931 solver.cpp:449] Iteration 6760, lr = 0.005
I0315 09:38:00.103605 26931 solver.cpp:188] Iteration 6800, loss = 1.85078
I0315 09:38:00.103894 26931 solver.cpp:203]     Train net output #0: loss = 1.85078 (* 1 = 1.85078 loss)
I0315 09:38:00.103940 26931 solver.cpp:449] Iteration 6800, lr = 0.005
I0315 09:39:53.031524 26931 solver.cpp:188] Iteration 6840, loss = 1.76982
I0315 09:39:53.031735 26931 solver.cpp:203]     Train net output #0: loss = 1.76982 (* 1 = 1.76982 loss)
I0315 09:39:53.031781 26931 solver.cpp:449] Iteration 6840, lr = 0.005
I0315 09:41:43.922981 26931 solver.cpp:188] Iteration 6880, loss = 2.02327
I0315 09:41:43.923153 26931 solver.cpp:203]     Train net output #0: loss = 2.02327 (* 1 = 2.02327 loss)
I0315 09:41:43.923190 26931 solver.cpp:449] Iteration 6880, lr = 0.005
I0315 09:43:34.819499 26931 solver.cpp:188] Iteration 6920, loss = 1.81866
I0315 09:43:34.819679 26931 solver.cpp:203]     Train net output #0: loss = 1.81866 (* 1 = 1.81866 loss)
I0315 09:43:34.819702 26931 solver.cpp:449] Iteration 6920, lr = 0.005
I0315 09:45:27.826200 26931 solver.cpp:188] Iteration 6960, loss = 1.94199
I0315 09:45:27.826395 26931 solver.cpp:203]     Train net output #0: loss = 1.94199 (* 1 = 1.94199 loss)
I0315 09:45:27.826419 26931 solver.cpp:449] Iteration 6960, lr = 0.005
I0315 09:47:20.708580 26931 solver.cpp:188] Iteration 7000, loss = 1.95295
I0315 09:47:20.708889 26931 solver.cpp:203]     Train net output #0: loss = 1.95295 (* 1 = 1.95295 loss)
I0315 09:47:20.708919 26931 solver.cpp:449] Iteration 7000, lr = 0.005
I0315 09:49:13.359261 26931 solver.cpp:188] Iteration 7040, loss = 1.97706
I0315 09:49:13.359484 26931 solver.cpp:203]     Train net output #0: loss = 1.97706 (* 1 = 1.97706 loss)
I0315 09:49:13.359506 26931 solver.cpp:449] Iteration 7040, lr = 0.005
I0315 09:51:08.668032 26931 solver.cpp:188] Iteration 7080, loss = 1.88573
I0315 09:51:08.668231 26931 solver.cpp:203]     Train net output #0: loss = 1.88573 (* 1 = 1.88573 loss)
I0315 09:51:08.668252 26931 solver.cpp:449] Iteration 7080, lr = 0.005
I0315 09:53:04.856694 26931 solver.cpp:188] Iteration 7120, loss = 1.86666
I0315 09:53:04.856997 26931 solver.cpp:203]     Train net output #0: loss = 1.86666 (* 1 = 1.86666 loss)
I0315 09:53:04.857045 26931 solver.cpp:449] Iteration 7120, lr = 0.005
I0315 09:55:01.117306 26931 solver.cpp:188] Iteration 7160, loss = 1.91898
I0315 09:55:01.117889 26931 solver.cpp:203]     Train net output #0: loss = 1.91898 (* 1 = 1.91898 loss)
I0315 09:55:01.118047 26931 solver.cpp:449] Iteration 7160, lr = 0.005
I0315 09:56:56.329754 26931 solver.cpp:188] Iteration 7200, loss = 1.92712
I0315 09:56:56.329941 26931 solver.cpp:203]     Train net output #0: loss = 1.92712 (* 1 = 1.92712 loss)
I0315 09:56:56.329965 26931 solver.cpp:449] Iteration 7200, lr = 0.005
I0315 09:58:55.005501 26931 solver.cpp:188] Iteration 7240, loss = 1.87259
I0315 09:58:55.005651 26931 solver.cpp:203]     Train net output #0: loss = 1.87259 (* 1 = 1.87259 loss)
I0315 09:58:55.005669 26931 solver.cpp:449] Iteration 7240, lr = 0.005
I0315 10:00:49.600752 26931 solver.cpp:188] Iteration 7280, loss = 1.89635
I0315 10:00:49.600904 26931 solver.cpp:203]     Train net output #0: loss = 1.89635 (* 1 = 1.89635 loss)
I0315 10:00:49.600921 26931 solver.cpp:449] Iteration 7280, lr = 0.005
I0315 10:02:45.661938 26931 solver.cpp:188] Iteration 7320, loss = 1.89938
I0315 10:02:45.662176 26931 solver.cpp:203]     Train net output #0: loss = 1.89938 (* 1 = 1.89938 loss)
I0315 10:02:45.662209 26931 solver.cpp:449] Iteration 7320, lr = 0.005
I0315 10:04:43.301882 26931 solver.cpp:188] Iteration 7360, loss = 1.7794
I0315 10:04:43.302194 26931 solver.cpp:203]     Train net output #0: loss = 1.7794 (* 1 = 1.7794 loss)
I0315 10:04:43.302239 26931 solver.cpp:449] Iteration 7360, lr = 0.005
I0315 10:06:39.939601 26931 solver.cpp:188] Iteration 7400, loss = 1.78324
I0315 10:06:39.940271 26931 solver.cpp:203]     Train net output #0: loss = 1.78324 (* 1 = 1.78324 loss)
I0315 10:06:39.940312 26931 solver.cpp:449] Iteration 7400, lr = 0.005
I0315 10:08:37.283874 26931 solver.cpp:188] Iteration 7440, loss = 1.82144
I0315 10:08:37.284363 26931 solver.cpp:203]     Train net output #0: loss = 1.82144 (* 1 = 1.82144 loss)
I0315 10:08:37.284549 26931 solver.cpp:449] Iteration 7440, lr = 0.005
I0315 10:10:33.942579 26931 solver.cpp:188] Iteration 7480, loss = 1.66548
I0315 10:10:33.942785 26931 solver.cpp:203]     Train net output #0: loss = 1.66548 (* 1 = 1.66548 loss)
I0315 10:10:33.942832 26931 solver.cpp:449] Iteration 7480, lr = 0.005
I0315 10:12:27.911876 26931 solver.cpp:188] Iteration 7520, loss = 1.89579
I0315 10:12:27.912194 26931 solver.cpp:203]     Train net output #0: loss = 1.89579 (* 1 = 1.89579 loss)
I0315 10:12:27.912246 26931 solver.cpp:449] Iteration 7520, lr = 0.005
I0315 10:14:23.228600 26931 solver.cpp:188] Iteration 7560, loss = 1.76482
I0315 10:14:23.229034 26931 solver.cpp:203]     Train net output #0: loss = 1.76482 (* 1 = 1.76482 loss)
I0315 10:14:23.229102 26931 solver.cpp:449] Iteration 7560, lr = 0.005
I0315 10:16:16.842092 26931 solver.cpp:188] Iteration 7600, loss = 2.00219
I0315 10:16:16.842283 26931 solver.cpp:203]     Train net output #0: loss = 2.00219 (* 1 = 2.00219 loss)
I0315 10:16:16.842308 26931 solver.cpp:449] Iteration 7600, lr = 0.005
I0315 10:18:14.345886 26931 solver.cpp:188] Iteration 7640, loss = 1.77578
I0315 10:18:14.346065 26931 solver.cpp:203]     Train net output #0: loss = 1.77578 (* 1 = 1.77578 loss)
I0315 10:18:14.346107 26931 solver.cpp:449] Iteration 7640, lr = 0.005
I0315 10:20:08.926420 26931 solver.cpp:188] Iteration 7680, loss = 1.72922
I0315 10:20:08.926681 26931 solver.cpp:203]     Train net output #0: loss = 1.72922 (* 1 = 1.72922 loss)
I0315 10:20:08.926717 26931 solver.cpp:449] Iteration 7680, lr = 0.005
I0315 10:22:04.217130 26931 solver.cpp:188] Iteration 7720, loss = 1.75822
I0315 10:22:04.217340 26931 solver.cpp:203]     Train net output #0: loss = 1.75822 (* 1 = 1.75822 loss)
I0315 10:22:04.217370 26931 solver.cpp:449] Iteration 7720, lr = 0.005
I0315 10:23:58.625885 26931 solver.cpp:188] Iteration 7760, loss = 1.74167
I0315 10:23:58.626126 26931 solver.cpp:203]     Train net output #0: loss = 1.74167 (* 1 = 1.74167 loss)
I0315 10:23:58.626148 26931 solver.cpp:449] Iteration 7760, lr = 0.005
I0315 10:25:51.320562 26931 solver.cpp:188] Iteration 7800, loss = 1.8446
I0315 10:25:51.320757 26931 solver.cpp:203]     Train net output #0: loss = 1.8446 (* 1 = 1.8446 loss)
I0315 10:25:51.320797 26931 solver.cpp:449] Iteration 7800, lr = 0.005
I0315 10:27:47.067337 26931 solver.cpp:188] Iteration 7840, loss = 1.74021
I0315 10:27:47.067487 26931 solver.cpp:203]     Train net output #0: loss = 1.74021 (* 1 = 1.74021 loss)
I0315 10:27:47.067514 26931 solver.cpp:449] Iteration 7840, lr = 0.005
I0315 10:29:42.001085 26931 solver.cpp:188] Iteration 7880, loss = 1.6111
I0315 10:29:42.001520 26931 solver.cpp:203]     Train net output #0: loss = 1.6111 (* 1 = 1.6111 loss)
I0315 10:29:42.001586 26931 solver.cpp:449] Iteration 7880, lr = 0.005
I0315 10:31:36.080298 26931 solver.cpp:188] Iteration 7920, loss = 1.70769
I0315 10:31:36.080469 26931 solver.cpp:203]     Train net output #0: loss = 1.70769 (* 1 = 1.70769 loss)
I0315 10:31:36.080485 26931 solver.cpp:449] Iteration 7920, lr = 0.005
I0315 10:33:31.041265 26931 solver.cpp:188] Iteration 7960, loss = 1.74538
I0315 10:33:31.041506 26931 solver.cpp:203]     Train net output #0: loss = 1.74538 (* 1 = 1.74538 loss)
I0315 10:33:31.041543 26931 solver.cpp:449] Iteration 7960, lr = 0.005
I0315 10:35:25.193037 26931 solver.cpp:188] Iteration 8000, loss = 1.88221
I0315 10:35:25.193228 26931 solver.cpp:203]     Train net output #0: loss = 1.88221 (* 1 = 1.88221 loss)
I0315 10:35:25.193255 26931 solver.cpp:449] Iteration 8000, lr = 0.005
I0315 10:37:20.416360 26931 solver.cpp:188] Iteration 8040, loss = 1.66901
I0315 10:37:20.416568 26931 solver.cpp:203]     Train net output #0: loss = 1.66901 (* 1 = 1.66901 loss)
I0315 10:37:20.416595 26931 solver.cpp:449] Iteration 8040, lr = 0.005
I0315 10:39:15.432334 26931 solver.cpp:188] Iteration 8080, loss = 1.82335
I0315 10:39:15.432581 26931 solver.cpp:203]     Train net output #0: loss = 1.82335 (* 1 = 1.82335 loss)
I0315 10:39:15.432620 26931 solver.cpp:449] Iteration 8080, lr = 0.005
I0315 10:41:08.713183 26931 solver.cpp:188] Iteration 8120, loss = 1.87611
I0315 10:41:08.713367 26931 solver.cpp:203]     Train net output #0: loss = 1.87611 (* 1 = 1.87611 loss)
I0315 10:41:08.713385 26931 solver.cpp:449] Iteration 8120, lr = 0.005
I0315 10:43:03.571866 26931 solver.cpp:188] Iteration 8160, loss = 1.66375
I0315 10:43:03.572065 26931 solver.cpp:203]     Train net output #0: loss = 1.66375 (* 1 = 1.66375 loss)
I0315 10:43:03.572095 26931 solver.cpp:449] Iteration 8160, lr = 0.005
I0315 10:44:58.555874 26931 solver.cpp:188] Iteration 8200, loss = 1.78424
I0315 10:44:58.556087 26931 solver.cpp:203]     Train net output #0: loss = 1.78424 (* 1 = 1.78424 loss)
I0315 10:44:58.556125 26931 solver.cpp:449] Iteration 8200, lr = 0.005
I0315 10:46:54.236702 26931 solver.cpp:188] Iteration 8240, loss = 1.75072
I0315 10:46:54.236835 26931 solver.cpp:203]     Train net output #0: loss = 1.75072 (* 1 = 1.75072 loss)
I0315 10:46:54.236848 26931 solver.cpp:449] Iteration 8240, lr = 0.005
I0315 10:48:49.549329 26931 solver.cpp:188] Iteration 8280, loss = 1.75433
I0315 10:48:49.549768 26931 solver.cpp:203]     Train net output #0: loss = 1.75433 (* 1 = 1.75433 loss)
I0315 10:48:49.549795 26931 solver.cpp:449] Iteration 8280, lr = 0.005
I0315 10:50:43.079619 26931 solver.cpp:188] Iteration 8320, loss = 1.72183
I0315 10:50:43.079818 26931 solver.cpp:203]     Train net output #0: loss = 1.72183 (* 1 = 1.72183 loss)
I0315 10:50:43.079841 26931 solver.cpp:449] Iteration 8320, lr = 0.005
I0315 10:52:38.066741 26931 solver.cpp:188] Iteration 8360, loss = 1.81971
I0315 10:52:38.066988 26931 solver.cpp:203]     Train net output #0: loss = 1.81971 (* 1 = 1.81971 loss)
I0315 10:52:38.067030 26931 solver.cpp:449] Iteration 8360, lr = 0.005
I0315 10:54:31.559306 26931 solver.cpp:188] Iteration 8400, loss = 2.14869
I0315 10:54:31.559638 26931 solver.cpp:203]     Train net output #0: loss = 2.14869 (* 1 = 2.14869 loss)
I0315 10:54:31.559662 26931 solver.cpp:449] Iteration 8400, lr = 0.005
I0315 10:56:27.137426 26931 solver.cpp:188] Iteration 8440, loss = 1.56356
I0315 10:56:27.137570 26931 solver.cpp:203]     Train net output #0: loss = 1.56356 (* 1 = 1.56356 loss)
I0315 10:56:27.137594 26931 solver.cpp:449] Iteration 8440, lr = 0.005
I0315 10:58:22.792866 26931 solver.cpp:188] Iteration 8480, loss = 1.87122
I0315 10:58:22.793040 26931 solver.cpp:203]     Train net output #0: loss = 1.87122 (* 1 = 1.87122 loss)
I0315 10:58:22.793062 26931 solver.cpp:449] Iteration 8480, lr = 0.005
I0315 11:00:18.416900 26931 solver.cpp:188] Iteration 8520, loss = 1.62373
I0315 11:00:18.417121 26931 solver.cpp:203]     Train net output #0: loss = 1.62373 (* 1 = 1.62373 loss)
I0315 11:00:18.417143 26931 solver.cpp:449] Iteration 8520, lr = 0.005
I0315 11:02:13.059391 26931 solver.cpp:188] Iteration 8560, loss = 1.80759
I0315 11:02:13.059571 26931 solver.cpp:203]     Train net output #0: loss = 1.80759 (* 1 = 1.80759 loss)
I0315 11:02:13.059607 26931 solver.cpp:449] Iteration 8560, lr = 0.005
I0315 11:04:07.747928 26931 solver.cpp:188] Iteration 8600, loss = 1.81895
I0315 11:04:07.748075 26931 solver.cpp:203]     Train net output #0: loss = 1.81895 (* 1 = 1.81895 loss)
I0315 11:04:07.748100 26931 solver.cpp:449] Iteration 8600, lr = 0.005
I0315 11:06:02.365164 26931 solver.cpp:188] Iteration 8640, loss = 1.53404
I0315 11:06:02.365298 26931 solver.cpp:203]     Train net output #0: loss = 1.53404 (* 1 = 1.53404 loss)
I0315 11:06:02.365316 26931 solver.cpp:449] Iteration 8640, lr = 0.005
I0315 11:07:58.649516 26931 solver.cpp:188] Iteration 8680, loss = 1.65597
I0315 11:07:58.649770 26931 solver.cpp:203]     Train net output #0: loss = 1.65597 (* 1 = 1.65597 loss)
I0315 11:07:58.649799 26931 solver.cpp:449] Iteration 8680, lr = 0.005
I0315 11:09:53.557456 26931 solver.cpp:188] Iteration 8720, loss = 1.64384
I0315 11:09:53.557680 26931 solver.cpp:203]     Train net output #0: loss = 1.64384 (* 1 = 1.64384 loss)
I0315 11:09:53.557713 26931 solver.cpp:449] Iteration 8720, lr = 0.005
I0315 11:11:49.274899 26931 solver.cpp:188] Iteration 8760, loss = 1.63801
I0315 11:11:49.275126 26931 solver.cpp:203]     Train net output #0: loss = 1.63801 (* 1 = 1.63801 loss)
I0315 11:11:49.275159 26931 solver.cpp:449] Iteration 8760, lr = 0.005
I0315 11:13:45.371593 26931 solver.cpp:188] Iteration 8800, loss = 1.66786
I0315 11:13:45.371786 26931 solver.cpp:203]     Train net output #0: loss = 1.66786 (* 1 = 1.66786 loss)
I0315 11:13:45.371806 26931 solver.cpp:449] Iteration 8800, lr = 0.005
I0315 11:15:24.192451 26931 solver.cpp:188] Iteration 8840, loss = 1.76492
I0315 11:15:24.192574 26931 solver.cpp:203]     Train net output #0: loss = 1.76492 (* 1 = 1.76492 loss)
I0315 11:15:24.192584 26931 solver.cpp:449] Iteration 8840, lr = 0.005
I0315 11:16:23.949405 26931 solver.cpp:188] Iteration 8880, loss = 1.64448
I0315 11:16:23.949527 26931 solver.cpp:203]     Train net output #0: loss = 1.64448 (* 1 = 1.64448 loss)
I0315 11:16:23.949548 26931 solver.cpp:449] Iteration 8880, lr = 0.005
I0315 11:17:26.163357 26931 solver.cpp:188] Iteration 8920, loss = 1.69316
I0315 11:17:26.163487 26931 solver.cpp:203]     Train net output #0: loss = 1.69316 (* 1 = 1.69316 loss)
I0315 11:17:26.163502 26931 solver.cpp:449] Iteration 8920, lr = 0.005
I0315 11:18:31.884788 26931 solver.cpp:188] Iteration 8960, loss = 1.76994
I0315 11:18:31.884922 26931 solver.cpp:203]     Train net output #0: loss = 1.76994 (* 1 = 1.76994 loss)
I0315 11:18:31.884943 26931 solver.cpp:449] Iteration 8960, lr = 0.005
I0315 11:19:41.646330 26931 solver.cpp:188] Iteration 9000, loss = 1.67467
I0315 11:19:41.646427 26931 solver.cpp:203]     Train net output #0: loss = 1.67467 (* 1 = 1.67467 loss)
I0315 11:19:41.646438 26931 solver.cpp:449] Iteration 9000, lr = 0.005
I0315 11:20:56.860870 26931 solver.cpp:188] Iteration 9040, loss = 1.72778
I0315 11:20:56.860985 26931 solver.cpp:203]     Train net output #0: loss = 1.72778 (* 1 = 1.72778 loss)
I0315 11:20:56.860996 26931 solver.cpp:449] Iteration 9040, lr = 0.005
I0315 11:22:29.928284 26931 solver.cpp:188] Iteration 9080, loss = 1.77187
I0315 11:22:29.928457 26931 solver.cpp:203]     Train net output #0: loss = 1.77187 (* 1 = 1.77187 loss)
I0315 11:22:29.928469 26931 solver.cpp:449] Iteration 9080, lr = 0.005
I0315 11:24:14.708108 26931 solver.cpp:188] Iteration 9120, loss = 1.7227
I0315 11:24:14.708215 26931 solver.cpp:203]     Train net output #0: loss = 1.7227 (* 1 = 1.7227 loss)
I0315 11:24:14.708226 26931 solver.cpp:449] Iteration 9120, lr = 0.005
I0315 11:26:10.365222 26931 solver.cpp:188] Iteration 9160, loss = 1.72368
I0315 11:26:10.365314 26931 solver.cpp:203]     Train net output #0: loss = 1.72368 (* 1 = 1.72368 loss)
I0315 11:26:10.365324 26931 solver.cpp:449] Iteration 9160, lr = 0.005
I0315 11:28:19.517267 26931 solver.cpp:188] Iteration 9200, loss = 1.88221
I0315 11:28:19.517393 26931 solver.cpp:203]     Train net output #0: loss = 1.88221 (* 1 = 1.88221 loss)
I0315 11:28:19.517415 26931 solver.cpp:449] Iteration 9200, lr = 0.005
I0315 11:30:46.548677 26931 solver.cpp:188] Iteration 9240, loss = 1.58978
I0315 11:30:46.548817 26931 solver.cpp:203]     Train net output #0: loss = 1.58978 (* 1 = 1.58978 loss)
I0315 11:30:46.548828 26931 solver.cpp:449] Iteration 9240, lr = 0.005
I0315 11:33:03.833566 26931 solver.cpp:188] Iteration 9280, loss = 1.61439
I0315 11:33:03.833858 26931 solver.cpp:203]     Train net output #0: loss = 1.61439 (* 1 = 1.61439 loss)
I0315 11:33:03.833871 26931 solver.cpp:449] Iteration 9280, lr = 0.005
I0315 11:35:19.688946 26931 solver.cpp:188] Iteration 9320, loss = 1.57541
I0315 11:35:19.689079 26931 solver.cpp:203]     Train net output #0: loss = 1.57541 (* 1 = 1.57541 loss)
I0315 11:35:19.689095 26931 solver.cpp:449] Iteration 9320, lr = 0.005
I0315 11:37:52.781816 26931 solver.cpp:188] Iteration 9360, loss = 1.71527
I0315 11:37:52.782042 26931 solver.cpp:203]     Train net output #0: loss = 1.71527 (* 1 = 1.71527 loss)
I0315 11:37:52.782052 26931 solver.cpp:449] Iteration 9360, lr = 0.005
I0315 11:40:24.118276 26931 solver.cpp:188] Iteration 9400, loss = 1.55326
I0315 11:40:24.118397 26931 solver.cpp:203]     Train net output #0: loss = 1.55326 (* 1 = 1.55326 loss)
I0315 11:40:24.118408 26931 solver.cpp:449] Iteration 9400, lr = 0.005
I0315 11:43:12.266928 26931 solver.cpp:188] Iteration 9440, loss = 1.87598
I0315 11:43:12.267034 26931 solver.cpp:203]     Train net output #0: loss = 1.87598 (* 1 = 1.87598 loss)
I0315 11:43:12.267055 26931 solver.cpp:449] Iteration 9440, lr = 0.005
I0315 11:45:42.671293 26931 solver.cpp:188] Iteration 9480, loss = 1.72659
I0315 11:45:42.671443 26931 solver.cpp:203]     Train net output #0: loss = 1.72659 (* 1 = 1.72659 loss)
I0315 11:45:42.671470 26931 solver.cpp:449] Iteration 9480, lr = 0.005
I0315 11:48:07.101464 26931 solver.cpp:188] Iteration 9520, loss = 1.76253
I0315 11:48:07.101599 26931 solver.cpp:203]     Train net output #0: loss = 1.76253 (* 1 = 1.76253 loss)
I0315 11:48:07.101610 26931 solver.cpp:449] Iteration 9520, lr = 0.005
I0315 11:50:24.655804 26931 solver.cpp:188] Iteration 9560, loss = 1.85094
I0315 11:50:24.655941 26931 solver.cpp:203]     Train net output #0: loss = 1.85094 (* 1 = 1.85094 loss)
I0315 11:50:24.655951 26931 solver.cpp:449] Iteration 9560, lr = 0.005
I0315 11:53:23.652101 26931 solver.cpp:188] Iteration 9600, loss = 1.56987
I0315 11:53:23.652235 26931 solver.cpp:203]     Train net output #0: loss = 1.56987 (* 1 = 1.56987 loss)
I0315 11:53:23.652245 26931 solver.cpp:449] Iteration 9600, lr = 0.005
I0315 11:55:51.272814 26931 solver.cpp:188] Iteration 9640, loss = 1.71256
I0315 11:55:51.272912 26931 solver.cpp:203]     Train net output #0: loss = 1.71256 (* 1 = 1.71256 loss)
I0315 11:55:51.272922 26931 solver.cpp:449] Iteration 9640, lr = 0.005
I0315 11:59:07.143821 26931 solver.cpp:188] Iteration 9680, loss = 1.67445
I0315 11:59:07.143939 26931 solver.cpp:203]     Train net output #0: loss = 1.67445 (* 1 = 1.67445 loss)
I0315 11:59:07.143949 26931 solver.cpp:449] Iteration 9680, lr = 0.005
I0315 12:01:36.436245 26931 solver.cpp:188] Iteration 9720, loss = 1.75891
I0315 12:01:36.436370 26931 solver.cpp:203]     Train net output #0: loss = 1.75891 (* 1 = 1.75891 loss)
I0315 12:01:36.436390 26931 solver.cpp:449] Iteration 9720, lr = 0.005
I0315 12:03:56.742521 26931 solver.cpp:188] Iteration 9760, loss = 1.78222
I0315 12:03:56.742638 26931 solver.cpp:203]     Train net output #0: loss = 1.78222 (* 1 = 1.78222 loss)
I0315 12:03:56.742650 26931 solver.cpp:449] Iteration 9760, lr = 0.005
I0315 12:06:15.039023 26931 solver.cpp:188] Iteration 9800, loss = 1.64993
I0315 12:06:15.039162 26931 solver.cpp:203]     Train net output #0: loss = 1.64993 (* 1 = 1.64993 loss)
I0315 12:06:15.039173 26931 solver.cpp:449] Iteration 9800, lr = 0.005
I0315 12:08:37.542840 26931 solver.cpp:188] Iteration 9840, loss = 1.69507
I0315 12:08:37.543051 26931 solver.cpp:203]     Train net output #0: loss = 1.69507 (* 1 = 1.69507 loss)
I0315 12:08:37.543063 26931 solver.cpp:449] Iteration 9840, lr = 0.005
I0315 12:10:55.443516 26931 solver.cpp:188] Iteration 9880, loss = 1.66194
I0315 12:10:55.443637 26931 solver.cpp:203]     Train net output #0: loss = 1.66194 (* 1 = 1.66194 loss)
I0315 12:10:55.443650 26931 solver.cpp:449] Iteration 9880, lr = 0.005
I0315 12:13:11.737036 26931 solver.cpp:188] Iteration 9920, loss = 1.61712
I0315 12:13:11.737189 26931 solver.cpp:203]     Train net output #0: loss = 1.61712 (* 1 = 1.61712 loss)
I0315 12:13:11.737200 26931 solver.cpp:449] Iteration 9920, lr = 0.005
I0315 12:15:26.234819 26931 solver.cpp:188] Iteration 9960, loss = 1.72253
I0315 12:15:26.234953 26931 solver.cpp:203]     Train net output #0: loss = 1.72253 (* 1 = 1.72253 loss)
I0315 12:15:26.234963 26931 solver.cpp:449] Iteration 9960, lr = 0.005
I0315 12:17:37.300947 26931 solver.cpp:337] Snapshotting to cache/flic/flic_iter_10000.caffemodel
I0315 12:17:38.617836 26931 solver.cpp:345] Snapshotting solver state to cache/flic/flic_iter_10000.solverstate
I0315 12:17:39.027144 26931 solver.cpp:266] Iteration 10000, Testing net (#0)
I0315 12:18:43.644654 26931 solver.cpp:317]     Test net output #0: accuracy = 0.532306
I0315 12:18:43.644835 26931 solver.cpp:317]     Test net output #1: loss = 1.59458 (* 1 = 1.59458 loss)
I0315 12:18:43.760270 26931 solver.cpp:188] Iteration 10000, loss = 1.6223
I0315 12:18:43.760309 26931 solver.cpp:203]     Train net output #0: loss = 1.6223 (* 1 = 1.6223 loss)
I0315 12:18:43.760319 26931 solver.cpp:449] Iteration 10000, lr = 0.005
I0315 12:21:05.432550 26931 solver.cpp:188] Iteration 10040, loss = 1.66579
I0315 12:21:05.432682 26931 solver.cpp:203]     Train net output #0: loss = 1.66579 (* 1 = 1.66579 loss)
I0315 12:21:05.432708 26931 solver.cpp:449] Iteration 10040, lr = 0.005
I0315 12:23:26.157408 26931 solver.cpp:188] Iteration 10080, loss = 1.70885
I0315 12:23:26.157515 26931 solver.cpp:203]     Train net output #0: loss = 1.70885 (* 1 = 1.70885 loss)
I0315 12:23:26.157526 26931 solver.cpp:449] Iteration 10080, lr = 0.005
I0315 12:25:47.785189 26931 solver.cpp:188] Iteration 10120, loss = 1.54029
I0315 12:25:47.785326 26931 solver.cpp:203]     Train net output #0: loss = 1.54029 (* 1 = 1.54029 loss)
I0315 12:25:47.785346 26931 solver.cpp:449] Iteration 10120, lr = 0.005
I0315 12:28:09.346669 26931 solver.cpp:188] Iteration 10160, loss = 1.62641
I0315 12:28:09.346798 26931 solver.cpp:203]     Train net output #0: loss = 1.62641 (* 1 = 1.62641 loss)
I0315 12:28:09.346809 26931 solver.cpp:449] Iteration 10160, lr = 0.005
I0315 12:30:32.023800 26931 solver.cpp:188] Iteration 10200, loss = 1.64512
I0315 12:30:32.023953 26931 solver.cpp:203]     Train net output #0: loss = 1.64512 (* 1 = 1.64512 loss)
I0315 12:30:32.023965 26931 solver.cpp:449] Iteration 10200, lr = 0.005
I0315 12:32:55.331959 26931 solver.cpp:188] Iteration 10240, loss = 1.6224
I0315 12:32:55.332080 26931 solver.cpp:203]     Train net output #0: loss = 1.6224 (* 1 = 1.6224 loss)
I0315 12:32:55.332101 26931 solver.cpp:449] Iteration 10240, lr = 0.005
I0315 12:35:17.424610 26931 solver.cpp:188] Iteration 10280, loss = 1.59556
I0315 12:35:17.424741 26931 solver.cpp:203]     Train net output #0: loss = 1.59556 (* 1 = 1.59556 loss)
I0315 12:35:17.424752 26931 solver.cpp:449] Iteration 10280, lr = 0.005
I0315 12:37:36.754880 26931 solver.cpp:188] Iteration 10320, loss = 1.5691
I0315 12:37:36.754998 26931 solver.cpp:203]     Train net output #0: loss = 1.5691 (* 1 = 1.5691 loss)
I0315 12:37:36.755008 26931 solver.cpp:449] Iteration 10320, lr = 0.005
I0315 12:39:49.804420 26931 solver.cpp:188] Iteration 10360, loss = 1.67432
I0315 12:39:49.804556 26931 solver.cpp:203]     Train net output #0: loss = 1.67432 (* 1 = 1.67432 loss)
I0315 12:39:49.804566 26931 solver.cpp:449] Iteration 10360, lr = 0.005
I0315 12:42:04.272267 26931 solver.cpp:188] Iteration 10400, loss = 1.6481
I0315 12:42:04.272408 26931 solver.cpp:203]     Train net output #0: loss = 1.6481 (* 1 = 1.6481 loss)
I0315 12:42:04.272419 26931 solver.cpp:449] Iteration 10400, lr = 0.005
I0315 12:44:22.988603 26931 solver.cpp:188] Iteration 10440, loss = 1.66867
I0315 12:44:22.988737 26931 solver.cpp:203]     Train net output #0: loss = 1.66867 (* 1 = 1.66867 loss)
I0315 12:44:22.988757 26931 solver.cpp:449] Iteration 10440, lr = 0.005
I0315 12:46:39.739159 26931 solver.cpp:188] Iteration 10480, loss = 1.73383
I0315 12:46:39.739289 26931 solver.cpp:203]     Train net output #0: loss = 1.73383 (* 1 = 1.73383 loss)
I0315 12:46:39.739300 26931 solver.cpp:449] Iteration 10480, lr = 0.005
I0315 12:48:54.424839 26931 solver.cpp:188] Iteration 10520, loss = 1.59286
I0315 12:48:54.424950 26931 solver.cpp:203]     Train net output #0: loss = 1.59286 (* 1 = 1.59286 loss)
I0315 12:48:54.424971 26931 solver.cpp:449] Iteration 10520, lr = 0.005
I0315 12:51:10.986949 26931 solver.cpp:188] Iteration 10560, loss = 1.6474
I0315 12:51:10.987094 26931 solver.cpp:203]     Train net output #0: loss = 1.6474 (* 1 = 1.6474 loss)
I0315 12:51:10.987115 26931 solver.cpp:449] Iteration 10560, lr = 0.005
I0315 12:53:28.389574 26931 solver.cpp:188] Iteration 10600, loss = 1.50161
I0315 12:53:28.389706 26931 solver.cpp:203]     Train net output #0: loss = 1.50161 (* 1 = 1.50161 loss)
I0315 12:53:28.389717 26931 solver.cpp:449] Iteration 10600, lr = 0.005
I0315 12:55:44.626639 26931 solver.cpp:188] Iteration 10640, loss = 1.61105
I0315 12:55:44.626780 26931 solver.cpp:203]     Train net output #0: loss = 1.61105 (* 1 = 1.61105 loss)
I0315 12:55:44.626793 26931 solver.cpp:449] Iteration 10640, lr = 0.005
I0315 12:57:57.594385 26931 solver.cpp:188] Iteration 10680, loss = 1.53399
I0315 12:57:57.594501 26931 solver.cpp:203]     Train net output #0: loss = 1.53399 (* 1 = 1.53399 loss)
I0315 12:57:57.594511 26931 solver.cpp:449] Iteration 10680, lr = 0.005
I0315 13:00:14.393789 26931 solver.cpp:188] Iteration 10720, loss = 1.6251
I0315 13:00:14.393908 26931 solver.cpp:203]     Train net output #0: loss = 1.6251 (* 1 = 1.6251 loss)
I0315 13:00:14.393928 26931 solver.cpp:449] Iteration 10720, lr = 0.005
I0315 13:02:27.555898 26931 solver.cpp:188] Iteration 10760, loss = 1.55422
I0315 13:02:27.556026 26931 solver.cpp:203]     Train net output #0: loss = 1.55422 (* 1 = 1.55422 loss)
I0315 13:02:27.556037 26931 solver.cpp:449] Iteration 10760, lr = 0.005
I0315 13:04:40.629305 26931 solver.cpp:188] Iteration 10800, loss = 1.53237
I0315 13:04:40.629426 26931 solver.cpp:203]     Train net output #0: loss = 1.53237 (* 1 = 1.53237 loss)
I0315 13:04:40.629436 26931 solver.cpp:449] Iteration 10800, lr = 0.005
I0315 13:06:55.086997 26931 solver.cpp:188] Iteration 10840, loss = 1.52972
I0315 13:06:55.087112 26931 solver.cpp:203]     Train net output #0: loss = 1.52972 (* 1 = 1.52972 loss)
I0315 13:06:55.087123 26931 solver.cpp:449] Iteration 10840, lr = 0.005
I0315 13:09:09.520458 26931 solver.cpp:188] Iteration 10880, loss = 1.71798
I0315 13:09:09.520594 26931 solver.cpp:203]     Train net output #0: loss = 1.71798 (* 1 = 1.71798 loss)
I0315 13:09:09.520606 26931 solver.cpp:449] Iteration 10880, lr = 0.005
I0315 13:11:22.533457 26931 solver.cpp:188] Iteration 10920, loss = 1.67705
I0315 13:11:22.533587 26931 solver.cpp:203]     Train net output #0: loss = 1.67705 (* 1 = 1.67705 loss)
I0315 13:11:22.533597 26931 solver.cpp:449] Iteration 10920, lr = 0.005
I0315 13:13:36.697952 26931 solver.cpp:188] Iteration 10960, loss = 1.61553
I0315 13:13:36.698084 26931 solver.cpp:203]     Train net output #0: loss = 1.61553 (* 1 = 1.61553 loss)
I0315 13:13:36.698096 26931 solver.cpp:449] Iteration 10960, lr = 0.005
I0315 13:15:50.988457 26931 solver.cpp:188] Iteration 11000, loss = 1.59287
I0315 13:15:50.988590 26931 solver.cpp:203]     Train net output #0: loss = 1.59287 (* 1 = 1.59287 loss)
I0315 13:15:50.988600 26931 solver.cpp:449] Iteration 11000, lr = 0.005
I0315 13:18:04.404978 26931 solver.cpp:188] Iteration 11040, loss = 1.58549
I0315 13:18:04.405110 26931 solver.cpp:203]     Train net output #0: loss = 1.58549 (* 1 = 1.58549 loss)
I0315 13:18:04.405122 26931 solver.cpp:449] Iteration 11040, lr = 0.005
I0315 13:20:18.179911 26931 solver.cpp:188] Iteration 11080, loss = 1.52699
I0315 13:20:18.180063 26931 solver.cpp:203]     Train net output #0: loss = 1.52699 (* 1 = 1.52699 loss)
I0315 13:20:18.180076 26931 solver.cpp:449] Iteration 11080, lr = 0.005
I0315 13:22:33.539455 26931 solver.cpp:188] Iteration 11120, loss = 1.48621
I0315 13:22:33.539589 26931 solver.cpp:203]     Train net output #0: loss = 1.48621 (* 1 = 1.48621 loss)
I0315 13:22:33.539600 26931 solver.cpp:449] Iteration 11120, lr = 0.005
I0315 13:24:48.943696 26931 solver.cpp:188] Iteration 11160, loss = 1.63486
I0315 13:24:48.943822 26931 solver.cpp:203]     Train net output #0: loss = 1.63486 (* 1 = 1.63486 loss)
I0315 13:24:48.943833 26931 solver.cpp:449] Iteration 11160, lr = 0.005
I0315 13:27:03.727381 26931 solver.cpp:188] Iteration 11200, loss = 1.60913
I0315 13:27:03.727526 26931 solver.cpp:203]     Train net output #0: loss = 1.60913 (* 1 = 1.60913 loss)
I0315 13:27:03.727537 26931 solver.cpp:449] Iteration 11200, lr = 0.005
I0315 13:29:19.354356 26931 solver.cpp:188] Iteration 11240, loss = 1.53138
I0315 13:29:19.354475 26931 solver.cpp:203]     Train net output #0: loss = 1.53138 (* 1 = 1.53138 loss)
I0315 13:29:19.354485 26931 solver.cpp:449] Iteration 11240, lr = 0.005
I0315 13:31:32.584092 26931 solver.cpp:188] Iteration 11280, loss = 1.49973
I0315 13:31:32.584215 26931 solver.cpp:203]     Train net output #0: loss = 1.49973 (* 1 = 1.49973 loss)
I0315 13:31:32.584226 26931 solver.cpp:449] Iteration 11280, lr = 0.005
I0315 13:33:44.843013 26931 solver.cpp:188] Iteration 11320, loss = 1.51977
I0315 13:33:44.843107 26931 solver.cpp:203]     Train net output #0: loss = 1.51977 (* 1 = 1.51977 loss)
I0315 13:33:44.843117 26931 solver.cpp:449] Iteration 11320, lr = 0.005
I0315 13:35:58.526056 26931 solver.cpp:188] Iteration 11360, loss = 1.38905
I0315 13:35:58.526192 26931 solver.cpp:203]     Train net output #0: loss = 1.38905 (* 1 = 1.38905 loss)
I0315 13:35:58.526203 26931 solver.cpp:449] Iteration 11360, lr = 0.005
I0315 13:38:11.419651 26931 solver.cpp:188] Iteration 11400, loss = 1.54792
I0315 13:38:11.419769 26931 solver.cpp:203]     Train net output #0: loss = 1.54792 (* 1 = 1.54792 loss)
I0315 13:38:11.419788 26931 solver.cpp:449] Iteration 11400, lr = 0.005
I0315 13:40:26.406235 26931 solver.cpp:188] Iteration 11440, loss = 1.70629
I0315 13:40:26.406370 26931 solver.cpp:203]     Train net output #0: loss = 1.70629 (* 1 = 1.70629 loss)
I0315 13:40:26.406391 26931 solver.cpp:449] Iteration 11440, lr = 0.005
I0315 13:42:39.811746 26931 solver.cpp:188] Iteration 11480, loss = 1.81682
I0315 13:42:39.812124 26931 solver.cpp:203]     Train net output #0: loss = 1.81682 (* 1 = 1.81682 loss)
I0315 13:42:39.812135 26931 solver.cpp:449] Iteration 11480, lr = 0.005
I0315 13:44:55.025086 26931 solver.cpp:188] Iteration 11520, loss = 1.55182
I0315 13:44:55.025200 26931 solver.cpp:203]     Train net output #0: loss = 1.55182 (* 1 = 1.55182 loss)
I0315 13:44:55.025212 26931 solver.cpp:449] Iteration 11520, lr = 0.005
I0315 13:47:09.762549 26931 solver.cpp:188] Iteration 11560, loss = 1.60922
I0315 13:47:09.762660 26931 solver.cpp:203]     Train net output #0: loss = 1.60922 (* 1 = 1.60922 loss)
I0315 13:47:09.762670 26931 solver.cpp:449] Iteration 11560, lr = 0.005
I0315 13:49:24.720181 26931 solver.cpp:188] Iteration 11600, loss = 1.38477
I0315 13:49:24.720310 26931 solver.cpp:203]     Train net output #0: loss = 1.38477 (* 1 = 1.38477 loss)
I0315 13:49:24.720320 26931 solver.cpp:449] Iteration 11600, lr = 0.005
I0315 13:51:38.707690 26931 solver.cpp:188] Iteration 11640, loss = 1.38498
I0315 13:51:38.707804 26931 solver.cpp:203]     Train net output #0: loss = 1.38498 (* 1 = 1.38498 loss)
I0315 13:51:38.707824 26931 solver.cpp:449] Iteration 11640, lr = 0.005
I0315 13:53:52.820536 26931 solver.cpp:188] Iteration 11680, loss = 1.77404
I0315 13:53:52.820649 26931 solver.cpp:203]     Train net output #0: loss = 1.77404 (* 1 = 1.77404 loss)
I0315 13:53:52.820670 26931 solver.cpp:449] Iteration 11680, lr = 0.005
I0315 13:56:07.262238 26931 solver.cpp:188] Iteration 11720, loss = 1.62399
I0315 13:56:07.262364 26931 solver.cpp:203]     Train net output #0: loss = 1.62399 (* 1 = 1.62399 loss)
I0315 13:56:07.262375 26931 solver.cpp:449] Iteration 11720, lr = 0.005
I0315 13:58:19.852089 26931 solver.cpp:188] Iteration 11760, loss = 1.73892
I0315 13:58:19.852198 26931 solver.cpp:203]     Train net output #0: loss = 1.73892 (* 1 = 1.73892 loss)
I0315 13:58:19.852210 26931 solver.cpp:449] Iteration 11760, lr = 0.005
I0315 14:00:33.585909 26931 solver.cpp:188] Iteration 11800, loss = 1.67495
I0315 14:00:33.586045 26931 solver.cpp:203]     Train net output #0: loss = 1.67495 (* 1 = 1.67495 loss)
I0315 14:00:33.586057 26931 solver.cpp:449] Iteration 11800, lr = 0.005
I0315 14:02:46.923431 26931 solver.cpp:188] Iteration 11840, loss = 1.60962
I0315 14:02:46.923570 26931 solver.cpp:203]     Train net output #0: loss = 1.60962 (* 1 = 1.60962 loss)
I0315 14:02:46.923581 26931 solver.cpp:449] Iteration 11840, lr = 0.005
I0315 14:05:01.367856 26931 solver.cpp:188] Iteration 11880, loss = 1.6085
I0315 14:05:01.368046 26931 solver.cpp:203]     Train net output #0: loss = 1.6085 (* 1 = 1.6085 loss)
I0315 14:05:01.368057 26931 solver.cpp:449] Iteration 11880, lr = 0.005
I0315 14:07:13.465659 26931 solver.cpp:188] Iteration 11920, loss = 1.58636
I0315 14:07:13.465788 26931 solver.cpp:203]     Train net output #0: loss = 1.58636 (* 1 = 1.58636 loss)
I0315 14:07:13.465798 26931 solver.cpp:449] Iteration 11920, lr = 0.005
I0315 14:09:27.706269 26931 solver.cpp:188] Iteration 11960, loss = 1.69098
I0315 14:09:27.706403 26931 solver.cpp:203]     Train net output #0: loss = 1.69098 (* 1 = 1.69098 loss)
I0315 14:09:27.706413 26931 solver.cpp:449] Iteration 11960, lr = 0.005
I0315 14:11:41.002849 26931 solver.cpp:188] Iteration 12000, loss = 1.55817
I0315 14:11:41.003001 26931 solver.cpp:203]     Train net output #0: loss = 1.55817 (* 1 = 1.55817 loss)
I0315 14:11:41.003012 26931 solver.cpp:449] Iteration 12000, lr = 0.005
I0315 14:13:55.297152 26931 solver.cpp:188] Iteration 12040, loss = 1.52238
I0315 14:13:55.297267 26931 solver.cpp:203]     Train net output #0: loss = 1.52238 (* 1 = 1.52238 loss)
I0315 14:13:55.297287 26931 solver.cpp:449] Iteration 12040, lr = 0.005
I0315 14:16:09.518898 26931 solver.cpp:188] Iteration 12080, loss = 1.50355
I0315 14:16:09.519024 26931 solver.cpp:203]     Train net output #0: loss = 1.50355 (* 1 = 1.50355 loss)
I0315 14:16:09.519036 26931 solver.cpp:449] Iteration 12080, lr = 0.005
I0315 14:18:22.536496 26931 solver.cpp:188] Iteration 12120, loss = 1.44692
I0315 14:18:22.536622 26931 solver.cpp:203]     Train net output #0: loss = 1.44692 (* 1 = 1.44692 loss)
I0315 14:18:22.536633 26931 solver.cpp:449] Iteration 12120, lr = 0.005
I0315 14:20:35.318572 26931 solver.cpp:188] Iteration 12160, loss = 1.47414
I0315 14:20:35.318697 26931 solver.cpp:203]     Train net output #0: loss = 1.47414 (* 1 = 1.47414 loss)
I0315 14:20:35.318708 26931 solver.cpp:449] Iteration 12160, lr = 0.005
I0315 14:22:49.114686 26931 solver.cpp:188] Iteration 12200, loss = 1.64555
I0315 14:22:49.114825 26931 solver.cpp:203]     Train net output #0: loss = 1.64555 (* 1 = 1.64555 loss)
I0315 14:22:49.114836 26931 solver.cpp:449] Iteration 12200, lr = 0.005
I0315 14:25:03.077504 26931 solver.cpp:188] Iteration 12240, loss = 1.38099
I0315 14:25:03.077647 26931 solver.cpp:203]     Train net output #0: loss = 1.38099 (* 1 = 1.38099 loss)
I0315 14:25:03.077658 26931 solver.cpp:449] Iteration 12240, lr = 0.005
I0315 14:27:17.560220 26931 solver.cpp:188] Iteration 12280, loss = 1.53048
I0315 14:27:17.561136 26931 solver.cpp:203]     Train net output #0: loss = 1.53048 (* 1 = 1.53048 loss)
I0315 14:27:17.561148 26931 solver.cpp:449] Iteration 12280, lr = 0.005
I0315 14:29:32.712877 26931 solver.cpp:188] Iteration 12320, loss = 1.58696
I0315 14:29:32.713021 26931 solver.cpp:203]     Train net output #0: loss = 1.58696 (* 1 = 1.58696 loss)
I0315 14:29:32.713040 26931 solver.cpp:449] Iteration 12320, lr = 0.005
I0315 14:31:45.243922 26931 solver.cpp:188] Iteration 12360, loss = 1.56097
I0315 14:31:45.244055 26931 solver.cpp:203]     Train net output #0: loss = 1.56097 (* 1 = 1.56097 loss)
I0315 14:31:45.244065 26931 solver.cpp:449] Iteration 12360, lr = 0.005
I0315 14:33:59.431670 26931 solver.cpp:188] Iteration 12400, loss = 1.5144
I0315 14:33:59.431784 26931 solver.cpp:203]     Train net output #0: loss = 1.5144 (* 1 = 1.5144 loss)
I0315 14:33:59.431803 26931 solver.cpp:449] Iteration 12400, lr = 0.005
I0315 14:36:12.580941 26931 solver.cpp:188] Iteration 12440, loss = 1.57424
I0315 14:36:12.581084 26931 solver.cpp:203]     Train net output #0: loss = 1.57424 (* 1 = 1.57424 loss)
I0315 14:36:12.581095 26931 solver.cpp:449] Iteration 12440, lr = 0.005
I0315 14:38:26.241786 26931 solver.cpp:188] Iteration 12480, loss = 1.54254
I0315 14:38:26.241922 26931 solver.cpp:203]     Train net output #0: loss = 1.54254 (* 1 = 1.54254 loss)
I0315 14:38:26.241933 26931 solver.cpp:449] Iteration 12480, lr = 0.005
I0315 14:40:38.953714 26931 solver.cpp:188] Iteration 12520, loss = 1.48731
I0315 14:40:38.953866 26931 solver.cpp:203]     Train net output #0: loss = 1.48731 (* 1 = 1.48731 loss)
I0315 14:40:38.953876 26931 solver.cpp:449] Iteration 12520, lr = 0.005
I0315 14:42:52.502832 26931 solver.cpp:188] Iteration 12560, loss = 1.56795
I0315 14:42:52.502965 26931 solver.cpp:203]     Train net output #0: loss = 1.56795 (* 1 = 1.56795 loss)
I0315 14:42:52.502975 26931 solver.cpp:449] Iteration 12560, lr = 0.005
I0315 14:45:06.094537 26931 solver.cpp:188] Iteration 12600, loss = 1.56619
I0315 14:45:06.094679 26931 solver.cpp:203]     Train net output #0: loss = 1.56619 (* 1 = 1.56619 loss)
I0315 14:45:06.094689 26931 solver.cpp:449] Iteration 12600, lr = 0.005
I0315 14:47:19.709841 26931 solver.cpp:188] Iteration 12640, loss = 1.44614
I0315 14:47:19.709975 26931 solver.cpp:203]     Train net output #0: loss = 1.44614 (* 1 = 1.44614 loss)
I0315 14:47:19.709986 26931 solver.cpp:449] Iteration 12640, lr = 0.005
I0315 14:49:30.567016 26931 solver.cpp:188] Iteration 12680, loss = 1.43835
I0315 14:49:30.567137 26931 solver.cpp:203]     Train net output #0: loss = 1.43835 (* 1 = 1.43835 loss)
I0315 14:49:30.567148 26931 solver.cpp:449] Iteration 12680, lr = 0.005
I0315 14:51:42.054352 26931 solver.cpp:188] Iteration 12720, loss = 1.54295
I0315 14:51:42.054502 26931 solver.cpp:203]     Train net output #0: loss = 1.54295 (* 1 = 1.54295 loss)
I0315 14:51:42.054512 26931 solver.cpp:449] Iteration 12720, lr = 0.005
I0315 14:53:53.280004 26931 solver.cpp:188] Iteration 12760, loss = 1.61225
I0315 14:53:53.280191 26931 solver.cpp:203]     Train net output #0: loss = 1.61225 (* 1 = 1.61225 loss)
I0315 14:53:53.280206 26931 solver.cpp:449] Iteration 12760, lr = 0.005
I0315 14:56:04.143290 26931 solver.cpp:188] Iteration 12800, loss = 1.46416
I0315 14:56:04.143439 26931 solver.cpp:203]     Train net output #0: loss = 1.46416 (* 1 = 1.46416 loss)
I0315 14:56:04.143450 26931 solver.cpp:449] Iteration 12800, lr = 0.005
I0315 14:58:16.074797 26931 solver.cpp:188] Iteration 12840, loss = 1.47281
I0315 14:58:16.074946 26931 solver.cpp:203]     Train net output #0: loss = 1.47281 (* 1 = 1.47281 loss)
I0315 14:58:16.074961 26931 solver.cpp:449] Iteration 12840, lr = 0.005
I0315 15:00:30.752261 26931 solver.cpp:188] Iteration 12880, loss = 1.49275
I0315 15:00:30.752377 26931 solver.cpp:203]     Train net output #0: loss = 1.49275 (* 1 = 1.49275 loss)
I0315 15:00:30.752388 26931 solver.cpp:449] Iteration 12880, lr = 0.005
I0315 15:02:43.871636 26931 solver.cpp:188] Iteration 12920, loss = 1.37467
I0315 15:02:43.871759 26931 solver.cpp:203]     Train net output #0: loss = 1.37467 (* 1 = 1.37467 loss)
I0315 15:02:43.871770 26931 solver.cpp:449] Iteration 12920, lr = 0.005
I0315 15:04:55.726256 26931 solver.cpp:188] Iteration 12960, loss = 1.53538
I0315 15:04:55.726371 26931 solver.cpp:203]     Train net output #0: loss = 1.53538 (* 1 = 1.53538 loss)
I0315 15:04:55.726382 26931 solver.cpp:449] Iteration 12960, lr = 0.005
I0315 15:07:07.291877 26931 solver.cpp:188] Iteration 13000, loss = 1.30815
I0315 15:07:07.292008 26931 solver.cpp:203]     Train net output #0: loss = 1.30815 (* 1 = 1.30815 loss)
I0315 15:07:07.292019 26931 solver.cpp:449] Iteration 13000, lr = 0.005
I0315 15:09:20.857969 26931 solver.cpp:188] Iteration 13040, loss = 1.51099
I0315 15:09:20.858156 26931 solver.cpp:203]     Train net output #0: loss = 1.51099 (* 1 = 1.51099 loss)
I0315 15:09:20.858168 26931 solver.cpp:449] Iteration 13040, lr = 0.005
I0315 15:11:36.436874 26931 solver.cpp:188] Iteration 13080, loss = 1.67538
I0315 15:11:36.436997 26931 solver.cpp:203]     Train net output #0: loss = 1.67538 (* 1 = 1.67538 loss)
I0315 15:11:36.437008 26931 solver.cpp:449] Iteration 13080, lr = 0.005
I0315 15:13:47.536191 26931 solver.cpp:188] Iteration 13120, loss = 1.4419
I0315 15:13:47.536340 26931 solver.cpp:203]     Train net output #0: loss = 1.4419 (* 1 = 1.4419 loss)
I0315 15:13:47.536355 26931 solver.cpp:449] Iteration 13120, lr = 0.005
I0315 15:15:59.630710 26931 solver.cpp:188] Iteration 13160, loss = 1.34753
I0315 15:15:59.630875 26931 solver.cpp:203]     Train net output #0: loss = 1.34753 (* 1 = 1.34753 loss)
I0315 15:15:59.630887 26931 solver.cpp:449] Iteration 13160, lr = 0.005
I0315 15:18:14.975738 26931 solver.cpp:188] Iteration 13200, loss = 1.47037
I0315 15:18:14.975872 26931 solver.cpp:203]     Train net output #0: loss = 1.47037 (* 1 = 1.47037 loss)
I0315 15:18:14.975883 26931 solver.cpp:449] Iteration 13200, lr = 0.005
I0315 15:20:28.636750 26931 solver.cpp:188] Iteration 13240, loss = 1.50212
I0315 15:20:28.636873 26931 solver.cpp:203]     Train net output #0: loss = 1.50212 (* 1 = 1.50212 loss)
I0315 15:20:28.636883 26931 solver.cpp:449] Iteration 13240, lr = 0.005
I0315 15:21:47.111150 26931 solver.cpp:188] Iteration 13280, loss = 1.47076
I0315 15:21:47.111284 26931 solver.cpp:203]     Train net output #0: loss = 1.47076 (* 1 = 1.47076 loss)
I0315 15:21:47.111299 26931 solver.cpp:449] Iteration 13280, lr = 0.005
I0315 15:22:58.666240 26931 solver.cpp:188] Iteration 13320, loss = 1.43322
I0315 15:22:58.666373 26931 solver.cpp:203]     Train net output #0: loss = 1.43322 (* 1 = 1.43322 loss)
I0315 15:22:58.666394 26931 solver.cpp:449] Iteration 13320, lr = 0.005
I0315 15:24:09.610643 26931 solver.cpp:188] Iteration 13360, loss = 1.54077
I0315 15:24:09.610775 26931 solver.cpp:203]     Train net output #0: loss = 1.54077 (* 1 = 1.54077 loss)
I0315 15:24:09.610786 26931 solver.cpp:449] Iteration 13360, lr = 0.005
I0315 15:25:22.857424 26931 solver.cpp:188] Iteration 13400, loss = 1.52764
I0315 15:25:22.857535 26931 solver.cpp:203]     Train net output #0: loss = 1.52764 (* 1 = 1.52764 loss)
I0315 15:25:22.857558 26931 solver.cpp:449] Iteration 13400, lr = 0.005
I0315 15:26:38.085330 26931 solver.cpp:188] Iteration 13440, loss = 1.43184
I0315 15:26:38.085418 26931 solver.cpp:203]     Train net output #0: loss = 1.43184 (* 1 = 1.43184 loss)
I0315 15:26:38.085429 26931 solver.cpp:449] Iteration 13440, lr = 0.005
I0315 15:27:58.967924 26931 solver.cpp:188] Iteration 13480, loss = 1.47264
I0315 15:27:58.968075 26931 solver.cpp:203]     Train net output #0: loss = 1.47264 (* 1 = 1.47264 loss)
I0315 15:27:58.968086 26931 solver.cpp:449] Iteration 13480, lr = 0.005
I0315 15:29:23.854921 26931 solver.cpp:188] Iteration 13520, loss = 1.48742
I0315 15:29:23.855110 26931 solver.cpp:203]     Train net output #0: loss = 1.48742 (* 1 = 1.48742 loss)
I0315 15:29:23.855123 26931 solver.cpp:449] Iteration 13520, lr = 0.005
I0315 15:30:53.331765 26931 solver.cpp:188] Iteration 13560, loss = 1.36836
I0315 15:30:53.331887 26931 solver.cpp:203]     Train net output #0: loss = 1.36836 (* 1 = 1.36836 loss)
I0315 15:30:53.331905 26931 solver.cpp:449] Iteration 13560, lr = 0.005
I0315 15:32:26.102937 26931 solver.cpp:188] Iteration 13600, loss = 1.49647
I0315 15:32:26.103065 26931 solver.cpp:203]     Train net output #0: loss = 1.49647 (* 1 = 1.49647 loss)
I0315 15:32:26.103085 26931 solver.cpp:449] Iteration 13600, lr = 0.005
I0315 15:34:05.245939 26931 solver.cpp:188] Iteration 13640, loss = 1.51639
I0315 15:34:05.246072 26931 solver.cpp:203]     Train net output #0: loss = 1.51639 (* 1 = 1.51639 loss)
I0315 15:34:05.246083 26931 solver.cpp:449] Iteration 13640, lr = 0.005
I0315 15:35:50.326102 26931 solver.cpp:188] Iteration 13680, loss = 1.42853
I0315 15:35:50.326239 26931 solver.cpp:203]     Train net output #0: loss = 1.42853 (* 1 = 1.42853 loss)
I0315 15:35:50.326251 26931 solver.cpp:449] Iteration 13680, lr = 0.005
I0315 15:37:40.674975 26931 solver.cpp:188] Iteration 13720, loss = 1.4651
I0315 15:37:40.675102 26931 solver.cpp:203]     Train net output #0: loss = 1.4651 (* 1 = 1.4651 loss)
I0315 15:37:40.675113 26931 solver.cpp:449] Iteration 13720, lr = 0.005
I0315 15:39:39.893759 26931 solver.cpp:188] Iteration 13760, loss = 1.50966
I0315 15:39:39.893893 26931 solver.cpp:203]     Train net output #0: loss = 1.50966 (* 1 = 1.50966 loss)
I0315 15:39:39.893903 26931 solver.cpp:449] Iteration 13760, lr = 0.005
I0315 15:41:47.274188 26931 solver.cpp:188] Iteration 13800, loss = 1.36149
I0315 15:41:47.274343 26931 solver.cpp:203]     Train net output #0: loss = 1.36149 (* 1 = 1.36149 loss)
I0315 15:41:47.274353 26931 solver.cpp:449] Iteration 13800, lr = 0.005
I0315 15:44:01.131568 26931 solver.cpp:188] Iteration 13840, loss = 1.52366
I0315 15:44:01.131688 26931 solver.cpp:203]     Train net output #0: loss = 1.52366 (* 1 = 1.52366 loss)
I0315 15:44:01.131698 26931 solver.cpp:449] Iteration 13840, lr = 0.005
I0315 15:46:16.904769 26931 solver.cpp:188] Iteration 13880, loss = 1.31653
I0315 15:46:16.904899 26931 solver.cpp:203]     Train net output #0: loss = 1.31653 (* 1 = 1.31653 loss)
I0315 15:46:16.904911 26931 solver.cpp:449] Iteration 13880, lr = 0.005
I0315 15:48:32.271478 26931 solver.cpp:188] Iteration 13920, loss = 1.47388
I0315 15:48:32.271597 26931 solver.cpp:203]     Train net output #0: loss = 1.47388 (* 1 = 1.47388 loss)
I0315 15:48:32.271617 26931 solver.cpp:449] Iteration 13920, lr = 0.005
I0315 15:50:47.501600 26931 solver.cpp:188] Iteration 13960, loss = 1.47452
I0315 15:50:47.501716 26931 solver.cpp:203]     Train net output #0: loss = 1.47452 (* 1 = 1.47452 loss)
I0315 15:50:47.501726 26931 solver.cpp:449] Iteration 13960, lr = 0.005
I0315 15:53:03.937487 26931 solver.cpp:188] Iteration 14000, loss = 1.56386
I0315 15:53:03.937595 26931 solver.cpp:203]     Train net output #0: loss = 1.56386 (* 1 = 1.56386 loss)
I0315 15:53:03.937616 26931 solver.cpp:449] Iteration 14000, lr = 0.005
I0315 15:55:20.636680 26931 solver.cpp:188] Iteration 14040, loss = 1.45566
I0315 15:55:20.636795 26931 solver.cpp:203]     Train net output #0: loss = 1.45566 (* 1 = 1.45566 loss)
I0315 15:55:20.636814 26931 solver.cpp:449] Iteration 14040, lr = 0.005
I0315 15:57:38.092989 26931 solver.cpp:188] Iteration 14080, loss = 1.42702
I0315 15:57:38.093117 26931 solver.cpp:203]     Train net output #0: loss = 1.42702 (* 1 = 1.42702 loss)
I0315 15:57:38.093137 26931 solver.cpp:449] Iteration 14080, lr = 0.005
I0315 15:59:50.983041 26931 solver.cpp:188] Iteration 14120, loss = 1.47829
I0315 15:59:50.983175 26931 solver.cpp:203]     Train net output #0: loss = 1.47829 (* 1 = 1.47829 loss)
I0315 15:59:50.983185 26931 solver.cpp:449] Iteration 14120, lr = 0.005
I0315 16:02:05.947213 26931 solver.cpp:188] Iteration 14160, loss = 1.33195
I0315 16:02:05.947345 26931 solver.cpp:203]     Train net output #0: loss = 1.33195 (* 1 = 1.33195 loss)
I0315 16:02:05.947356 26931 solver.cpp:449] Iteration 14160, lr = 0.005
I0315 16:04:19.162859 26931 solver.cpp:188] Iteration 14200, loss = 1.48118
I0315 16:04:19.162986 26931 solver.cpp:203]     Train net output #0: loss = 1.48118 (* 1 = 1.48118 loss)
I0315 16:04:19.162997 26931 solver.cpp:449] Iteration 14200, lr = 0.005
I0315 16:06:34.156085 26931 solver.cpp:188] Iteration 14240, loss = 1.44163
I0315 16:06:34.156219 26931 solver.cpp:203]     Train net output #0: loss = 1.44163 (* 1 = 1.44163 loss)
I0315 16:06:34.156229 26931 solver.cpp:449] Iteration 14240, lr = 0.005
I0315 16:08:48.428792 26931 solver.cpp:188] Iteration 14280, loss = 1.48582
I0315 16:08:48.428920 26931 solver.cpp:203]     Train net output #0: loss = 1.48582 (* 1 = 1.48582 loss)
I0315 16:08:48.428942 26931 solver.cpp:449] Iteration 14280, lr = 0.005
I0315 16:11:00.044544 26931 solver.cpp:188] Iteration 14320, loss = 1.40837
I0315 16:11:00.044677 26931 solver.cpp:203]     Train net output #0: loss = 1.40837 (* 1 = 1.40837 loss)
I0315 16:11:00.044687 26931 solver.cpp:449] Iteration 14320, lr = 0.005
I0315 16:13:13.237470 26931 solver.cpp:188] Iteration 14360, loss = 1.45463
I0315 16:13:13.237583 26931 solver.cpp:203]     Train net output #0: loss = 1.45463 (* 1 = 1.45463 loss)
I0315 16:13:13.237593 26931 solver.cpp:449] Iteration 14360, lr = 0.005
I0315 16:15:27.447896 26931 solver.cpp:188] Iteration 14400, loss = 1.41598
I0315 16:15:27.448027 26931 solver.cpp:203]     Train net output #0: loss = 1.41598 (* 1 = 1.41598 loss)
I0315 16:15:27.448038 26931 solver.cpp:449] Iteration 14400, lr = 0.005
I0315 16:17:40.842061 26931 solver.cpp:188] Iteration 14440, loss = 1.47436
I0315 16:17:40.842185 26931 solver.cpp:203]     Train net output #0: loss = 1.47436 (* 1 = 1.47436 loss)
I0315 16:17:40.842207 26931 solver.cpp:449] Iteration 14440, lr = 0.005
I0315 16:19:52.260346 26931 solver.cpp:188] Iteration 14480, loss = 1.41243
I0315 16:19:52.260468 26931 solver.cpp:203]     Train net output #0: loss = 1.41243 (* 1 = 1.41243 loss)
I0315 16:19:52.260488 26931 solver.cpp:449] Iteration 14480, lr = 0.005
I0315 16:22:06.315081 26931 solver.cpp:188] Iteration 14520, loss = 1.40085
I0315 16:22:06.315207 26931 solver.cpp:203]     Train net output #0: loss = 1.40085 (* 1 = 1.40085 loss)
I0315 16:22:06.315217 26931 solver.cpp:449] Iteration 14520, lr = 0.005
I0315 16:24:20.173321 26931 solver.cpp:188] Iteration 14560, loss = 1.37734
I0315 16:24:20.173449 26931 solver.cpp:203]     Train net output #0: loss = 1.37734 (* 1 = 1.37734 loss)
I0315 16:24:20.173470 26931 solver.cpp:449] Iteration 14560, lr = 0.005
I0315 16:26:33.204382 26931 solver.cpp:188] Iteration 14600, loss = 1.33227
I0315 16:26:33.204505 26931 solver.cpp:203]     Train net output #0: loss = 1.33227 (* 1 = 1.33227 loss)
I0315 16:26:33.204516 26931 solver.cpp:449] Iteration 14600, lr = 0.005
I0315 16:28:48.028831 26931 solver.cpp:188] Iteration 14640, loss = 1.56795
I0315 16:28:48.028955 26931 solver.cpp:203]     Train net output #0: loss = 1.56795 (* 1 = 1.56795 loss)
I0315 16:28:48.028978 26931 solver.cpp:449] Iteration 14640, lr = 0.005
I0315 16:31:01.721686 26931 solver.cpp:188] Iteration 14680, loss = 1.37709
I0315 16:31:01.721837 26931 solver.cpp:203]     Train net output #0: loss = 1.37709 (* 1 = 1.37709 loss)
I0315 16:31:01.721853 26931 solver.cpp:449] Iteration 14680, lr = 0.005
I0315 16:33:16.282846 26931 solver.cpp:188] Iteration 14720, loss = 1.46542
I0315 16:33:16.282971 26931 solver.cpp:203]     Train net output #0: loss = 1.46542 (* 1 = 1.46542 loss)
I0315 16:33:16.282994 26931 solver.cpp:449] Iteration 14720, lr = 0.005
I0315 16:35:29.377926 26931 solver.cpp:188] Iteration 14760, loss = 1.33165
I0315 16:35:29.378041 26931 solver.cpp:203]     Train net output #0: loss = 1.33165 (* 1 = 1.33165 loss)
I0315 16:35:29.378062 26931 solver.cpp:449] Iteration 14760, lr = 0.005
I0315 16:37:41.778719 26931 solver.cpp:188] Iteration 14800, loss = 1.33787
I0315 16:37:41.778846 26931 solver.cpp:203]     Train net output #0: loss = 1.33787 (* 1 = 1.33787 loss)
I0315 16:37:41.778856 26931 solver.cpp:449] Iteration 14800, lr = 0.005
I0315 16:39:58.300854 26931 solver.cpp:188] Iteration 14840, loss = 1.32047
I0315 16:39:58.301017 26931 solver.cpp:203]     Train net output #0: loss = 1.32047 (* 1 = 1.32047 loss)
I0315 16:39:58.301040 26931 solver.cpp:449] Iteration 14840, lr = 0.005
I0315 16:42:13.396509 26931 solver.cpp:188] Iteration 14880, loss = 1.50692
I0315 16:42:13.396641 26931 solver.cpp:203]     Train net output #0: loss = 1.50692 (* 1 = 1.50692 loss)
I0315 16:42:13.396652 26931 solver.cpp:449] Iteration 14880, lr = 0.005
I0315 16:44:27.956734 26931 solver.cpp:188] Iteration 14920, loss = 1.36949
I0315 16:44:27.956862 26931 solver.cpp:203]     Train net output #0: loss = 1.36949 (* 1 = 1.36949 loss)
I0315 16:44:27.956873 26931 solver.cpp:449] Iteration 14920, lr = 0.005
I0315 16:46:40.319298 26931 solver.cpp:188] Iteration 14960, loss = 1.46712
I0315 16:46:40.319398 26931 solver.cpp:203]     Train net output #0: loss = 1.46712 (* 1 = 1.46712 loss)
I0315 16:46:40.319409 26931 solver.cpp:449] Iteration 14960, lr = 0.005
I0315 16:48:52.805882 26931 solver.cpp:337] Snapshotting to cache/flic/flic_iter_15000.caffemodel
I0315 16:48:53.990145 26931 solver.cpp:345] Snapshotting solver state to cache/flic/flic_iter_15000.solverstate
I0315 16:48:54.415381 26931 solver.cpp:266] Iteration 15000, Testing net (#0)
I0315 16:49:58.551520 26931 solver.cpp:317]     Test net output #0: accuracy = 0.58275
I0315 16:49:58.551722 26931 solver.cpp:317]     Test net output #1: loss = 1.3555 (* 1 = 1.3555 loss)
I0315 16:49:58.667052 26931 solver.cpp:188] Iteration 15000, loss = 1.29676
I0315 16:49:58.667094 26931 solver.cpp:203]     Train net output #0: loss = 1.29676 (* 1 = 1.29676 loss)
I0315 16:49:58.667104 26931 solver.cpp:449] Iteration 15000, lr = 0.005
I0315 18:42:41.196866  4180 solver.cpp:188] Iteration 15040, loss = 1.26151
I0315 18:42:41.196972  4180 solver.cpp:203]     Train net output #0: loss = 1.26151 (* 1 = 1.26151 loss)
I0315 18:42:41.196987  4180 solver.cpp:449] Iteration 15040, lr = 0.005
I0315 18:45:30.073050  4180 solver.cpp:188] Iteration 15080, loss = 1.24729
I0315 18:45:30.073169  4180 solver.cpp:203]     Train net output #0: loss = 1.24729 (* 1 = 1.24729 loss)
I0315 18:45:30.073180  4180 solver.cpp:449] Iteration 15080, lr = 0.005
I0315 18:48:53.903167  4180 solver.cpp:188] Iteration 15120, loss = 1.412
I0315 18:48:53.903285  4180 solver.cpp:203]     Train net output #0: loss = 1.412 (* 1 = 1.412 loss)
I0315 18:48:53.903295  4180 solver.cpp:449] Iteration 15120, lr = 0.005
I0315 18:52:30.387258  4180 solver.cpp:188] Iteration 15160, loss = 1.31607
I0315 18:52:30.387346  4180 solver.cpp:203]     Train net output #0: loss = 1.31607 (* 1 = 1.31607 loss)
I0315 18:52:30.387368  4180 solver.cpp:449] Iteration 15160, lr = 0.005
I0315 18:56:23.521661  4180 solver.cpp:188] Iteration 15200, loss = 1.44248
I0315 18:56:23.521765  4180 solver.cpp:203]     Train net output #0: loss = 1.44248 (* 1 = 1.44248 loss)
I0315 18:56:23.521776  4180 solver.cpp:449] Iteration 15200, lr = 0.005
I0315 18:59:55.440608  4180 solver.cpp:188] Iteration 15240, loss = 1.52702
I0315 18:59:55.440703  4180 solver.cpp:203]     Train net output #0: loss = 1.52702 (* 1 = 1.52702 loss)
I0315 18:59:55.440723  4180 solver.cpp:449] Iteration 15240, lr = 0.005
I0315 19:04:06.453413  4180 solver.cpp:188] Iteration 15280, loss = 1.31745
I0315 19:04:06.453548  4180 solver.cpp:203]     Train net output #0: loss = 1.31745 (* 1 = 1.31745 loss)
I0315 19:04:06.453570  4180 solver.cpp:449] Iteration 15280, lr = 0.005
I0315 19:08:20.570247  4180 solver.cpp:188] Iteration 15320, loss = 1.34306
I0315 19:08:20.570371  4180 solver.cpp:203]     Train net output #0: loss = 1.34306 (* 1 = 1.34306 loss)
I0315 19:08:20.570382  4180 solver.cpp:449] Iteration 15320, lr = 0.005
I0315 19:13:03.282222  4180 solver.cpp:188] Iteration 15360, loss = 1.39035
I0315 19:13:03.282367  4180 solver.cpp:203]     Train net output #0: loss = 1.39035 (* 1 = 1.39035 loss)
I0315 19:13:03.282378  4180 solver.cpp:449] Iteration 15360, lr = 0.005
I0315 19:19:07.162061  4180 solver.cpp:188] Iteration 15400, loss = 1.18382
I0315 19:19:07.162194  4180 solver.cpp:203]     Train net output #0: loss = 1.18382 (* 1 = 1.18382 loss)
I0315 19:19:07.162214  4180 solver.cpp:449] Iteration 15400, lr = 0.005
I0315 19:27:13.958235  4180 solver.cpp:188] Iteration 15440, loss = 1.26245
I0315 19:27:13.958369  4180 solver.cpp:203]     Train net output #0: loss = 1.26245 (* 1 = 1.26245 loss)
I0315 19:27:13.958379  4180 solver.cpp:449] Iteration 15440, lr = 0.005
I0315 19:36:39.339085  4180 solver.cpp:188] Iteration 15480, loss = 1.37431
I0315 19:36:39.339207  4180 solver.cpp:203]     Train net output #0: loss = 1.37431 (* 1 = 1.37431 loss)
I0315 19:36:39.339221  4180 solver.cpp:449] Iteration 15480, lr = 0.005
I0315 19:46:33.536803  4180 solver.cpp:188] Iteration 15520, loss = 1.34754
I0315 19:46:33.536896  4180 solver.cpp:203]     Train net output #0: loss = 1.34754 (* 1 = 1.34754 loss)
I0315 19:46:33.536911  4180 solver.cpp:449] Iteration 15520, lr = 0.005
I0315 19:56:56.380934  4180 solver.cpp:188] Iteration 15560, loss = 1.31459
I0315 19:56:56.381062  4180 solver.cpp:203]     Train net output #0: loss = 1.31459 (* 1 = 1.31459 loss)
I0315 19:56:56.381072  4180 solver.cpp:449] Iteration 15560, lr = 0.005
I0315 20:07:40.121816  4180 solver.cpp:188] Iteration 15600, loss = 1.41166
I0315 20:07:40.121929  4180 solver.cpp:203]     Train net output #0: loss = 1.41166 (* 1 = 1.41166 loss)
I0315 20:07:40.121940  4180 solver.cpp:449] Iteration 15600, lr = 0.005
I0315 20:18:35.069700  4180 solver.cpp:188] Iteration 15640, loss = 1.24552
I0315 20:18:35.069823  4180 solver.cpp:203]     Train net output #0: loss = 1.24552 (* 1 = 1.24552 loss)
I0315 20:18:35.069844  4180 solver.cpp:449] Iteration 15640, lr = 0.005
I0315 20:30:00.194072  4180 solver.cpp:188] Iteration 15680, loss = 1.3053
I0315 20:30:00.196164  4180 solver.cpp:203]     Train net output #0: loss = 1.3053 (* 1 = 1.3053 loss)
I0315 20:30:00.196187  4180 solver.cpp:449] Iteration 15680, lr = 0.005
I0315 20:41:38.784319  4180 solver.cpp:188] Iteration 15720, loss = 1.27443
I0315 20:41:38.784471  4180 solver.cpp:203]     Train net output #0: loss = 1.27443 (* 1 = 1.27443 loss)
I0315 20:41:38.784482  4180 solver.cpp:449] Iteration 15720, lr = 0.005
I0315 20:45:47.339891  4180 solver.cpp:188] Iteration 15760, loss = 1.41967
I0315 20:45:47.340008  4180 solver.cpp:203]     Train net output #0: loss = 1.41967 (* 1 = 1.41967 loss)
I0315 20:45:47.340020  4180[nbh_IDs, global_IDs] = get_IDs(pa, conf.K);
unique(global_IDs);
{Error using <a href="matlab:helpUtils.errorDocCallback('cell/unique', '/usr/local/MATLAB/R2013b/toolbox/matlab/ops/@cell/unique.m', 86)" style="font-weight:bold">cell/unique</a> (<a href="matlab: opentoline('/usr/local/MATLAB/R2013b/toolbox/matlab/ops/@cell/unique.m',86,0)">line 86</a>)
Input A must be a cell array of strings.
} 
if system_dependent('IsDebugMode')==1, dbquit; end
demo_1Wdataset
 solver.cpp:449] Iteration 15760, lr = 0.005
I0315 20:47:54.741900  4180 solver.cpp:188] Iteration 15800, loss = 1.33212
I0315 20:47:54.742024  4180 solver.cpp:203]     Train net output #0: loss = 1.33212 (* 1 = 1.33212 loss)
I0315 20:47:54.742040  4180 solver.cpp:449] Iteration 15800, lr = 0.005
I0315 20:49:59.775187  4180 solver.cpp:188] Iteration 15840, loss = 1.22967
I0315 20:49:59.775358  4180 solver.cpp:203]     Train net output #0: loss = 1.22967 (* 1 = 1.22967 loss)
I0315 20:49:59.775377  4180 solver.cpp:449] Iteration 15840, lr = 0.005
I0315 20:51:58.657711  4180 solver.cpp:188] Iteration 15880, loss = 1.24363
I0315 20:51:58.657881  4180 solver.cpp:203]     Train net output #0: loss = 1.24363 (* 1 = 1.24363 loss)
I0315 20:51:58.657896  4180 solver.cpp:449] Iteration 15880, lr = 0.005
I0315 20:53:53.968495  4180 solver.cpp:188] Iteration 15920, loss = 1.26739
I0315 20:53:53.968634  4180 solver.cpp:203]     Train net output #0: loss = 1.26739 (* 1 = 1.26739 loss)
I0315 20:53:53.968663  4180 solver.cpp:449] Iteration 15920, lr = 0.005
I0315 20:55:46.863469  4180 solver.cpp:188] Iteration 15960, loss = 1.31688
I0315 20:55:46.863597  4180 solver.cpp:203]     Train net output #0: loss = 1.31688 (* 1 = 1.31688 loss)
I0315 20:55:46.863610  4180 solver.cpp:449] Iteration 15960, lr = 0.005
I0315 20:57:35.939568  4180 solver.cpp:188] Iteration 16000, loss = 1.28086
I0315 20:57:35.939704  4180 solver.cpp:203]     Train net output #0: loss = 1.28086 (* 1 = 1.28086 loss)
I0315 20:57:35.939717  4180 solver.cpp:449] Iteration 16000, lr = 0.005
I0315 20:59:22.659889  4180 solver.cpp:188] Iteration 16040, loss = 1.24285
I0315 20:59:22.660022  4180 solver.cpp:203]     Train net output #0: loss = 1.24285 (* 1 = 1.24285 loss)
I0315 20:59:22.660034  4180 solver.cpp:449] Iteration 16040, lr = 0.005
I0315 21:01:05.650001  4180 solver.cpp:188] Iteration 16080, loss = 1.32624
I0315 21:01:05.650130  4180 solver.cpp:203]     Train net output #0: loss = 1.32624 (* 1 = 1.32624 loss)
I0315 21:01:05.650154  4180 solver.cpp:449] Iteration 16080, lr = 0.005
I0315 21:02:46.318210  4180 solver.cpp:188] Iteration 16120, loss = 1.29129
I0315 21:02:46.318351  4180 solver.cpp:203]     Train net output #0: loss = 1.29129 (* 1 = 1.29129 loss)
I0315 21:02:46.318367  4180 solver.cpp:449] Iteration 16120, lr = 0.005
I0315 21:04:24.519170  4180 solver.cpp:188] Iteration 16160, loss = 1.19224
I0315 21:04:24.519464  4180 solver.cpp:203]     Train net output #0: loss = 1.19224 (* 1 = 1.19224 loss)
I0315 21:04:24.519479  4180 solver.cpp:449] Iteration 16160, lr = 0.005
I0315 21:06:03.776868  4180 solver.cpp:188] Iteration 16200, loss = 1.20262
I0315 21:06:03.777000  4180 solver.cpp:203]     Train net output #0: loss = 1.20262 (* 1 = 1.20262 loss)
I0315 21:06:03.777014  4180 solver.cpp:449] Iteration 16200, lr = 0.005
I0315 21:08:22.359113  4180 solver.cpp:188] Iteration 16240, loss = 1.30707
I0315 21:08:22.359236  4180 solver.cpp:203]     Train net output #0: loss = 1.30707 (* 1 = 1.30707 loss)
I0315 21:08:22.359249  4180 solver.cpp:449] Iteration 16240, lr = 0.005
I0315 21:09:54.507956  4180 solver.cpp:188] Iteration 16280, loss = 1.3044
I0315 21:09:54.508064  4180 solver.cpp:203]     Train net output #0: loss = 1.3044 (* 1 = 1.3044 loss)
I0315 21:09:54.508086  4180 solver.cpp:449] Iteration 16280, lr = 0.005
I0315 21:11:26.701163  4180 solver.cpp:188] Iteration 16320, loss = 1.38292
I0315 21:11:26.701292  4180 solver.cpp:203]     Train net output #0: loss = 1.38292 (* 1 = 1.38292 loss)
I0315 21:11:26.701309  4180 solver.cpp:449] Iteration 16320, lr = 0.005
I0315 21:13:00.958688  4180 solver.cpp:188] Iteration 16360, loss = 1.3624
I0315 21:13:00.958837  4180 solver.cpp:203]     Train net output #0: loss = 1.3624 (* 1 = 1.3624 loss)
I0315 21:13:00.958850  4180 solver.cpp:449] Iteration 16360, lr = 0.005
I0315 21:14:35.814980  4180 solver.cpp:188] Iteration 16400, loss = 1.1725
I0315 21:14:35.815114  4180 solver.cpp:203]     Train net output #0: loss = 1.1725 (* 1 = 1.1725 loss)
I0315 21:14:35.815127  4180 solver.cpp:449] Iteration 16400, lr = 0.005
I0315 21:16:11.076160  4180 solver.cpp:188] Iteration 16440, loss = 1.24856
I0315 21:16:11.076269  4180 solver.cpp:203]     Train net output #0: loss = 1.24856 (* 1 = 1.24856 loss)
I0315 21:16:11.076282  4180 solver.cpp:449] Iteration 16440, lr = 0.005
I0315 21:17:47.446873  4180 solver.cpp:188] Iteration 16480, loss = 1.27237
I0315 21:17:47.447053  4180 solver.cpp:203]     Train net output #0: loss = 1.27237 (* 1 = 1.27237 loss)
I0315 21:17:47.447068  4180 solver.cpp:449] Iteration 16480, lr = 0.005
I0315 21:19:25.879546  4180 solver.cpp:188] Iteration 16520, loss = 1.2819
I0315 21:19:25.879725  4180 solver.cpp:203]     Train net output #0: loss = 1.2819 (* 1 = 1.2819 loss)
I0315 21:19:25.879739  4180 solver.cpp:449] Iteration 16520, lr = 0.005
I0315 21:21:02.617341  4180 solver.cpp:188] Iteration 16560, loss = 1.31069
I0315 21:21:02.617467  4180 solver.cpp:203]     Train net output #0: loss = 1.31069 (* 1 = 1.31069 loss)
I0315 21:21:02.617491  4180 solver.cpp:449] Iteration 16560, lr = 0.005
I0315 21:22:41.518188  4180 solver.cpp:188] Iteration 16600, loss = 1.31701
I0315 21:22:41.518306  4180 solver.cpp:203]     Train net output #0: loss = 1.31701 (* 1 = 1.31701 loss)
I0315 21:22:41.518321  4180 solver.cpp:449] Iteration 16600, lr = 0.005
I0315 21:24:21.032552  4180 solver.cpp:188] Iteration 16640, loss = 1.21676
I0315 21:24:21.032677  4180 solver.cpp:203]     Train net output #0: loss = 1.21676 (* 1 = 1.21676 loss)
I0315 21:24:21.032691  4180 solver.cpp:449] Iteration 16640, lr = 0.005
I0315 21:26:00.817929  4180 solver.cpp:188] Iteration 16680, loss = 1.14914
I0315 21:26:00.818060  4180 solver.cpp:203]     Train net output #0: loss = 1.14914 (* 1 = 1.14914 loss)
I0315 21:26:00.818074  4180 solver.cpp:449] Iteration 16680, lr = 0.005
I0315 21:27:40.642386  4180 solver.cpp:188] Iteration 16720, loss = 1.24472
I0315 21:27:40.642571  4180 solver.cpp:203]     Train net output #0: loss = 1.24472 (* 1 = 1.24472 loss)
I0315 21:27:40.642585  4180 solver.cpp:449] Iteration 16720, lr = 0.005
I0315 21:29:20.146963  4180 solver.cpp:188] Iteration 16760, loss = 1.28198
I0315 21:29:20.147079  4180 solver.cpp:203]     Train net output #0: loss = 1.28198 (* 1 = 1.28198 loss)
I0315 21:29:20.147092  4180 solver.cpp:449] Iteration 16760, lr = 0.005
I0315 21:30:48.593433  4180 solver.cpp:188] Iteration 16800, loss = 1.40176
I0315 21:30:48.593569  4180 solver.cpp:203]     Train net output #0: loss = 1.40176 (* 1 = 1.40176 loss)
I0315 21:30:48.593590  4180 solver.cpp:449] Iteration 16800, lr = 0.005
I0315 21:32:09.888587  4180 solver.cpp:188] Iteration 16840, loss = 1.36519
I0315 21:32:09.888715  4180 solver.cpp:203]     Train net output #0: loss = 1.36519 (* 1 = 1.36519 loss)
I0315 21:32:09.888727  4180 solver.cpp:449] Iteration 16840, lr = 0.005
I0315 21:33:48.210685  4180 solver.cpp:188] Iteration 16880, loss = 1.39358
I0315 21:33:48.210805  4180 solver.cpp:203]     Train net output #0: loss = 1.39358 (* 1 = 1.39358 loss)
I0315 21:33:48.210830  4180 solver.cpp:449] Iteration 16880, lr = 0.005
I0315 21:35:24.063040  4180 solver.cpp:188] Iteration 16920, loss = 1.30543
I0315 21:35:24.063164  4180 solver.cpp:203]     Train net output #0: loss = 1.30543 (* 1 = 1.30543 loss)
I0315 21:35:24.063176  4180 solver.cpp:449] Iteration 16920, lr = 0.005
I0315 21:37:00.342694  4180 solver.cpp:188] Iteration 16960, loss = 1.37839
I0315 21:37:00.342813  4180 solver.cpp:203]     Train net output #0: loss = 1.37839 (* 1 = 1.37839 loss)
I0315 21:37:00.342826  4180 solver.cpp:449] Iteration 16960, lr = 0.005
I0315 21:38:37.535150  4180 solver.cpp:188] Iteration 17000, loss = 1.30921
I0315 21:38:37.535265  4180 solver.cpp:203]     Train net output #0: loss = 1.30921 (* 1 = 1.30921 loss)
I0315 21:38:37.535277  4180 solver.cpp:449] Iteration 17000, lr = 0.005
I0315 21:40:12.317900  4180 solver.cpp:188] Iteration 17040, loss = 1.42699
I0315 21:40:12.318006  4180 solver.cpp:203]     Train net output #0: loss = 1.42699 (* 1 = 1.42699 loss)
I0315 21:40:12.318017  4180 solver.cpp:449] Iteration 17040, lr = 0.005
I0315 21:41:46.704246  4180 solver.cpp:188] Iteration 17080, loss = 1.32858
I0315 21:41:46.704381  4180 solver.cpp:203]     Train net output #0: loss = 1.32858 (* 1 = 1.32858 loss)
I0315 21:41:46.704396  4180 solver.cpp:449] Iteration 17080, lr = 0.005
I0315 21:43:21.441212  4180 solver.cpp:188] Iteration 17120, loss = 1.37038
I0315 21:43:21.441344  4180 solver.cpp:203]     Train net output #0: loss = 1.37038 (* 1 = 1.37038 loss)
I0315 21:43:21.441355  4180 solver.cpp:449] Iteration 17120, lr = 0.005
I0315 21:44:57.126755  4180 solver.cpp:188] Iteration 17160, loss = 1.44419
I0315 21:44:57.126946  4180 solver.cpp:203]     Train net output #0: loss = 1.44419 (* 1 = 1.44419 loss)
I0315 21:44:57.126960  4180 solver.cpp:449] Iteration 17160, lr = 0.005
I0315 21:46:32.234261  4180 solver.cpp:188] Iteration 17200, loss = 1.28055
I0315 21:46:32.234398  4180 solver.cpp:203]     Train net output #0: loss = 1.28055 (* 1 = 1.28055 loss)
I0315 21:46:32.234412  4180 solver.cpp:449] Iteration 17200, lr = 0.005
I0315 21:48:06.972756  4180 solver.cpp:188] Iteration 17240, loss = 1.21427
I0315 21:48:06.972872  4180 solver.cpp:203]     Train net output #0: loss = 1.21427 (* 1 = 1.21427 loss)
I0315 21:48:06.972895  4180 solver.cpp:449] Iteration 17240, lr = 0.005
I0315 21:49:41.810899  4180 solver.cpp:188] Iteration 17280, loss = 1.36417
I0315 21:49:41.811015  4180 solver.cpp:203]     Train net output #0: loss = 1.36417 (* 1 = 1.36417 loss)
I0315 21:49:41.811028  4180 solver.cpp:449] Iteration 17280, lr = 0.005
I0315 21:51:15.567440  4180 solver.cpp:188] Iteration 17320, loss = 1.53487
I0315 21:51:15.567566  4180 solver.cpp:203]     Train net output #0: loss = 1.53487 (* 1 = 1.53487 loss)
I0315 21:51:15.567579  4180 solver.cpp:449] Iteration 17320, lr = 0.005
I0315 21:52:49.242812  4180 solver.cpp:188] Iteration 17360, loss = 1.34973
I0315 21:52:49.242941  4180 solver.cpp:203]     Train net output #0: loss = 1.34973 (* 1 = 1.34973 loss)
I0315 21:52:49.242954  4180 solver.cpp:449] Iteration 17360, lr = 0.005
I0315 21:54:22.262897  4180 solver.cpp:188] Iteration 17400, loss = 1.27502
I0315 21:54:22.263021  4180 solver.cpp:203]     Train net output #0: loss = 1.27502 (* 1 = 1.27502 loss)
I0315 21:54:22.263034  4180 solver.cpp:449] Iteration 17400, lr = 0.005
I0315 21:55:55.390276  4180 solver.cpp:188] Iteration 17440, loss = 1.25567
I0315 21:55:55.390403  4180 solver.cpp:203]     Train net output #0: loss = 1.25567 (* 1 = 1.25567 loss)
I0315 21:55:55.390414  4180 solver.cpp:449] Iteration 17440, lr = 0.005
I0315 21:57:29.023869  4180 solver.cpp:188] Iteration 17480, loss = 1.44105
I0315 21:57:29.024003  4180 solver.cpp:203]     Train net output #0: loss = 1.44105 (* 1 = 1.44105 loss)
I0315 21:57:29.024015  4180 solver.cpp:449] Iteration 17480, lr = 0.005
I0315 21:59:02.982791  4180 solver.cpp:188] Iteration 17520, loss = 1.42792
I0315 21:59:02.982916  4180 solver.cpp:203]     Train net output #0: loss = 1.42792 (* 1 = 1.42792 loss)
I0315 21:59:02.982928  4180 solver.cpp:449] Iteration 17520, lr = 0.005
I0315 22:00:34.637934  4180 solver.cpp:188] Iteration 17560, loss = 1.32536
I0315 22:00:34.638059  4180 solver.cpp:203]     Train net output #0: loss = 1.32536 (* 1 = 1.32536 loss)
I0315 22:00:34.638072  4180 solver.cpp:449] Iteration 17560, lr = 0.005
I0315 22:02:06.828183  4180 solver.cpp:188] Iteration 17600, loss = 1.38214
I0315 22:02:06.828299  4180 solver.cpp:203]     Train net output #0: loss = 1.38214 (* 1 = 1.38214 loss)
I0315 22:02:06.828321  4180 solver.cpp:449] Iteration 17600, lr = 0.005
I0315 22:03:41.266132  4180 solver.cpp:188] Iteration 17640, loss = 1.38307
I0315 22:03:41.266270  4180 solver.cpp:203]     Train net output #0: loss = 1.38307 (* 1 = 1.38307 loss)
I0315 22:03:41.266284  4180 solver.cpp:449] Iteration 17640, lr = 0.005
I0315 22:05:15.291427  4180 solver.cpp:188] Iteration 17680, loss = 1.34508
I0315 22:05:15.291548  4180 solver.cpp:203]     Train net output #0: loss = 1.34508 (* 1 = 1.34508 loss)
I0315 22:05:15.291559  4180 solver.cpp:449] Iteration 17680, lr = 0.005
I0315 22:06:48.375170  4180 solver.cpp:188] Iteration 17720, loss = 1.30452
I0315 22:06:48.375295  4180 solver.cpp:203]     Train net output #0: loss = 1.30452 (* 1 = 1.30452 loss)
I0315 22:06:48.375308  4180 solver.cpp:449] Iteration 17720, lr = 0.005
I0315 22:08:22.733152  4180 solver.cpp:188] Iteration 17760, loss = 1.25204
I0315 22:08:22.733286  4180 solver.cpp:203]     Train net output #0: loss = 1.25204 (* 1 = 1.25204 loss)
I0315 22:08:22.733299  4180 solver.cpp:449] Iteration 17760, lr = 0.005
I0315 22:09:56.304080  4180 solver.cpp:188] Iteration 17800, loss = 1.40085
I0315 22:09:56.304322  4180 solver.cpp:203]     Train net output #0: loss = 1.40085 (* 1 = 1.40085 loss)
I0315 22:09:56.304337  4180 solver.cpp:449] Iteration 17800, lr = 0.005
I0315 22:11:30.744060  4180 solver.cpp:188] Iteration 17840, loss = 1.5088
I0315 22:11:30.744201  4180 solver.cpp:203]     Train net output #0: loss = 1.5088 (* 1 = 1.5088 loss)
I0315 22:11:30.744215  4180 solver.cpp:449] Iteration 17840, lr = 0.005
I0315 22:13:09.841189  4180 solver.cpp:188] Iteration 17880, loss = 1.40775
I0315 22:13:09.841352  4180 solver.cpp:203]     Train net output #0: loss = 1.40775 (* 1 = 1.40775 loss)
I0315 22:13:09.841366  4180 solver.cpp:449] Iteration 17880, lr = 0.005
I0315 22:15:02.166893  4180 solver.cpp:188] Iteration 17920, loss = 1.38182
I0315 22:15:02.167028  4180 solver.cpp:203]     Train net output #0: loss = 1.38182 (* 1 = 1.38182 loss)
I0315 22:15:02.167047  4180 solver.cpp:449] Iteration 17920, lr = 0.005
I0315 22:19:17.284829  4180 solver.cpp:188] Iteration 17960, loss = 1.23151
I0315 22:19:17.284952  4180 solver.cpp:203]     Train net output #0: loss = 1.23151 (* 1 = 1.23151 loss)
I0315 22:19:17.284976  4180 solver.cpp:449] Iteration 17960, lr = 0.005
I0315 22:24:57.201457  4180 solver.cpp:188] Iteration 18000, loss = 1.30708
I0315 22:24:57.201535  4180 solver.cpp:203]     Train net output #0: loss = 1.30708 (* 1 = 1.30708 loss)
I0315 22:24:57.201549  4180 solver.cpp:449] Iteration 18000, lr = 0.005
I0315 22:31:57.791664  4180 solver.cpp:188] Iteration 18040, loss = 1.36956
I0315 22:31:57.791816  4180 solver.cpp:203]     Train net output #0: loss = 1.36956 (* 1 = 1.36956 loss)
I0315 22:31:57.791834  4180 solver.cpp:449] Iteration 18040, lr = 0.005
I0315 22:39:41.785356  4180 solver.cpp:188] Iteration 18080, loss = 1.27858
I0315 22:39:41.785502  4180 solver.cpp:203]     Train net output #0: loss = 1.27858 (* 1 = 1.27858 loss)
I0315 22:39:41.785528  4180 solver.cpp:449] Iteration 18080, lr = 0.005
I0315 22:48:15.971948  4180 solver.cpp:188] Iteration 18120, loss = 1.37131
I0315 22:48:15.972057  4180 solver.cpp:203]     Train net output #0: loss = 1.37131 (* 1 = 1.37131 loss)
I0315 22:48:15.972069  4180 solver.cpp:449] Iteration 18120, lr = 0.005
I0315 22:57:33.421350  4180 solver.cpp:188] Iteration 18160, loss = 1.32918
I0315 22:57:33.421464  4180 solver.cpp:203]     Train net output #0: loss = 1.32918 (* 1 = 1.32918 loss)
I0315 22:57:33.421478  4180 solver.cpp:449] Iteration 18160, lr = 0.005
I0315 23:07:23.869922  4180 solver.cpp:188] Iteration 18200, loss = 1.39427
I0315 23:07:23.871156  4180 solver.cpp:203]     Train net output #0: loss = 1.39427 (* 1 = 1.39427 loss)
I0315 23:07:23.871181  4180 solver.cpp:449] Iteration 18200, lr = 0.005
I0315 23:17:50.134866  4180 solver.cpp:188] Iteration 18240, loss = 1.25535
I0315 23:17:50.135012  4180 solver.cpp:203]     Train net output #0: loss = 1.25535 (* 1 = 1.25535 loss)
I0315 23:17:50.135023  4180 solver.cpp:449] Iteration 18240, lr = 0.005
I0315 23:28:25.707619  4180 solver.cpp:188] Iteration 18280, loss = 1.32934
I0315 23:28:25.707703  4180 solver.cpp:203]     Train net output #0: loss = 1.32934 (* 1 = 1.32934 loss)
I0315 23:28:25.707716  4180 solver.cpp:449] Iteration 18280, lr = 0.005
I0315 23:39:10.900925  4180 solver.cpp:188] Iteration 18320, loss = 1.38605
I0315 23:39:10.901057  4180 solver.cpp:203]     Train net output #0: loss = 1.38605 (* 1 = 1.38605 loss)
I0315 23:39:10.901078  4180 solver.cpp:449] Iteration 18320, lr = 0.005
I0315 23:50:19.293112  4180 solver.cpp:188] Iteration 18360, loss = 1.26541
I0315 23:50:19.293238  4180 solver.cpp:203]     Train net output #0: loss = 1.26541 (* 1 = 1.26541 loss)
I0315 23:50:19.293259  4180 solver.cpp:449] Iteration 18360, lr = 0.005
I0316 00:01:37.787199  4180 solver.cpp:188] Iteration 18400, loss = 1.19297
I0316 00:01:37.787302  4180 solver.cpp:203]     Train net output #0: loss = 1.19297 (* 1 = 1.19297 loss)
I0316 00:01:37.787314  4180 solver.cpp:449] Iteration 18400, lr = 0.005
I0316 00:13:20.085185  4180 solver.cpp:188] Iteration 18440, loss = 1.16044
I0316 00:13:20.085332  4180 solver.cpp:203]     Train net output #0: loss = 1.16044 (* 1 = 1.16044 loss)
I0316 00:13:20.085345  4180 solver.cpp:449] Iteration 18440, lr = 0.005
I0316 00:25:44.503976  4180 solver.cpp:188] Iteration 18480, loss = 1.38705
I0316 00:25:44.504123  4180 solver.cpp:203]     Train net output #0: loss = 1.38705 (* 1 = 1.38705 loss)
I0316 00:25:44.504135  4180 solver.cpp:449] Iteration 18480, lr = 0.005
I0316 00:38:03.874868  4180 solver.cpp:188] Iteration 18520, loss = 1.29082
I0316 00:38:03.875001  4180 solver.cpp:203]     Train net output #0: loss = 1.29082 (* 1 = 1.29082 loss)
I0316 00:38:03.875022  4180 solver.cpp:449] Iteration 18520, lr = 0.005
I0316 00:50:40.900773  4180 solver.cpp:188] Iteration 18560, loss = 1.27598
I0316 00:50:40.901049  4180 solver.cpp:203]     Train net output #0: loss = 1.27598 (* 1 = 1.27598 loss)
I0316 00:50:40.901063  4180 solver.cpp:449] Iteration 18560, lr = 0.005
I0316 01:03:12.814903  4180 solver.cpp:188] Iteration 18600, loss = 1.28469
I0316 01:03:12.815032  4180 solver.cpp:203]     Train net output #0: loss = 1.28469 (* 1 = 1.28469 loss)
I0316 01:03:12.815052  4180 solver.cpp:449] Iteration 18600, lr = 0.005
I0316 01:16:03.735517  4180 solver.cpp:188] Iteration 18640, loss = 1.33554
I0316 01:16:03.735649  4180 solver.cpp:203]     Train net output #0: loss = 1.33554 (* 1 = 1.33554 loss)
I0316 01:16:03.735671  4180 solver.cpp:449] Iteration 18640, lr = 0.005
I0316 01:28:24.290663  4180 solver.cpp:188] Iteration 18680, loss = 1.23084
I0316 01:28:24.290814  4180 solver.cpp:203]     Train net output #0: loss = 1.23084 (* 1 = 1.23084 loss)
I0316 01:28:24.290825  4180 solver.cpp:449] Iteration 18680, lr = 0.005
I0316 01:41:05.561358  4180 solver.cpp:188] Iteration 18720, loss = 1.38529
I0316 01:41:05.561518  4180 solver.cpp:203]     Train net output #0: loss = 1.38529 (* 1 = 1.38529 loss)
I0316 01:41:05.561533  4180 solver.cpp:449] Iteration 18720, lr = 0.005
I0316 01:53:34.621201  4180 solver.cpp:188] Iteration 18760, loss = 1.28216
I0316 01:53:34.621389  4180 solver.cpp:203]     Train net output #0: loss = 1.28216 (* 1 = 1.28216 loss)
I0316 01:53:34.621404  4180 solver.cpp:449] Iteration 18760, lr = 0.005
I0316 02:05:19.357595  4180 solver.cpp:188] Iteration 18800, loss = 1.37942
I0316 02:05:19.357712  4180 solver.cpp:203]     Train net output #0: loss = 1.37942 (* 1 = 1.37942 loss)
I0316 02:05:19.357722  4180 solver.cpp:449] Iteration 18800, lr = 0.005
I0316 02:14:13.664633  4180 solver.cpp:188] Iteration 18840, loss = 1.3384
I0316 02:14:13.664762  4180 solver.cpp:203]     Train net output #0: loss = 1.3384 (* 1 = 1.3384 loss)
I0316 02:14:13.664783  4180 solver.cpp:449] Iteration 18840, lr = 0.005
I0316 02:18:58.133234  4180 solver.cpp:188] Iteration 18880, loss = 1.34247
I0316 02:18:58.133349  4180 solver.cpp:203]     Train net output #0: loss = 1.34247 (* 1 = 1.34247 loss)
I0316 02:18:58.133370  4180 solver.cpp:449] Iteration 18880, lr = 0.005
I0316 02:23:47.226130  4180 solver.cpp:188] Iteration 18920, loss = 1.35496
I0316 02:23:47.226256  4180 solver.cpp:203]     Train net output #0: loss = 1.35496 (* 1 = 1.35496 loss)
I0316 02:23:47.226268  4180 solver.cpp:449] Iteration 18920, lr = 0.005
I0316 02:28:46.111862  4180 solver.cpp:188] Iteration 18960, loss = 1.36478
I0316 02:28:46.111984  4180 solver.cpp:203]     Train net output #0: loss = 1.36478 (* 1 = 1.36478 loss)
I0316 02:28:46.112004  4180 solver.cpp:449] Iteration 18960, lr = 0.005
I0316 02:33:53.865993  4180 solver.cpp:188] Iteration 19000, loss = 1.22613
I0316 02:33:53.866112  4180 solver.cpp:203]     Train net output #0: loss = 1.22613 (* 1 = 1.22613 loss)
I0316 02:33:53.866123  4180 solver.cpp:449] Iteration 19000, lr = 0.005
I0316 02:39:11.144816  4180 solver.cpp:188] Iteration 19040, loss = 1.35628
I0316 02:39:11.144928  4180 solver.cpp:203]     Train net output #0: loss = 1.35628 (* 1 = 1.35628 loss)
I0316 02:39:11.144939  4180 solver.cpp:449] Iteration 19040, lr = 0.005
I0316 02:44:32.504894  4180 solver.cpp:188] Iteration 19080, loss = 1.34938
I0316 02:44:32.505070  4180 solver.cpp:203]     Train net output #0: loss = 1.34938 (* 1 = 1.34938 loss)
I0316 02:44:32.505082  4180 solver.cpp:449] Iteration 19080, lr = 0.005
I0316 02:49:53.980365  4180 solver.cpp:188] Iteration 19120, loss = 1.32254
I0316 02:49:53.980499  4180 solver.cpp:203]     Train net output #0: loss = 1.32254 (* 1 = 1.32254 loss)
I0316 02:49:53.980520  4180 solver.cpp:449] Iteration 19120, lr = 0.005
I0316 02:55:17.304563  4180 solver.cpp:188] Iteration 19160, loss = 1.39698
I0316 02:55:17.304677  4180 solver.cpp:203]     Train net output #0: loss = 1.39698 (* 1 = 1.39698 loss)
I0316 02:55:17.304689  4180 solver.cpp:449] Iteration 19160, lr = 0.005
I0316 03:00:39.191782  4180 solver.cpp:188] Iteration 19200, loss = 1.17656
I0316 03:00:39.191876  4180 solver.cpp:203]     Train net output #0: loss = 1.17656 (* 1 = 1.17656 loss)
I0316 03:00:39.191897  4180 solver.cpp:449] Iteration 19200, lr = 0.005
I0316 03:05:59.857825  4180 solver.cpp:188] Iteration 19240, loss = 1.27352
I0316 03:05:59.857957  4180 solver.cpp:203]     Train net output #0: loss = 1.27352 (* 1 = 1.27352 loss)
I0316 03:05:59.857967  4180 solver.cpp:449] Iteration 19240, lr = 0.005
I0316 03:11:18.326277  4180 solver.cpp:188] Iteration 19280, loss = 1.30976
I0316 03:11:18.326386  4180 solver.cpp:203]     Train net output #0: loss = 1.30976 (* 1 = 1.30976 loss)
I0316 03:11:18.326406  4180 solver.cpp:449] Iteration 19280, lr = 0.005
I0316 03:16:34.573731  4180 solver.cpp:188] Iteration 19320, loss = 1.25893
I0316 03:16:34.573839  4180 solver.cpp:203]     Train net output #0: loss = 1.25893 (* 1 = 1.25893 loss)
I0316 03:16:34.573859  4180 solver.cpp:449] Iteration 19320, lr = 0.005
I0316 03:19:09.489598  4180 solver.cpp:188] Iteration 19360, loss = 1.3035
I0316 03:19:09.489714  4180 solver.cpp:203]     Train net output #0: loss = 1.3035 (* 1 = 1.3035 loss)
I0316 03:19:09.489725  4180 solver.cpp:449] Iteration 19360, lr = 0.005
I0316 03:21:26.470301  4180 solver.cpp:188] Iteration 19400, loss = 1.3509
I0316 03:21:26.470412  4180 solver.cpp:203]     Train net output #0: loss = 1.3509 (* 1 = 1.3509 loss)
I0316 03:21:26.470423  4180 solver.cpp:449] Iteration 19400, lr = 0.005
I0316 03:23:34.777423  4180 solver.cpp:188] Iteration 19440, loss = 1.13222
I0316 03:23:34.777541  4180 solver.cpp:203]     Train net output #0: loss = 1.13222 (* 1 = 1.13222 loss)
I0316 03:23:34.777552  4180 solver.cpp:449] Iteration 19440, lr = 0.005
I0316 03:25:39.844719  4180 solver.cpp:188] Iteration 19480, loss = 1.21017
I0316 03:25:39.844846  4180 solver.cpp:203]     Train net output #0: loss = 1.21017 (* 1 = 1.21017 loss)
I0316 03:25:39.844857  4180 solver.cpp:449] Iteration 19480, lr = 0.005
I0316 03:27:40.830371  4180 solver.cpp:188] Iteration 19520, loss = 1.20437
I0316 03:27:40.830507  4180 solver.cpp:203]     Train net output #0: loss = 1.20437 (* 1 = 1.20437 loss)
I0316 03:27:40.830518  4180 solver.cpp:449] Iteration 19520, lr = 0.005
I0316 03:29:36.966802  4180 solver.cpp:188] Iteration 19560, loss = 1.2254
I0316 03:29:36.966919  4180 solver.cpp:203]     Train net output #0: loss = 1.2254 (* 1 = 1.2254 loss)
I0316 03:29:36.966930  4180 solver.cpp:449] Iteration 19560, lr = 0.005
I0316 03:31:29.237843  4180 solver.cpp:188] Iteration 19600, loss = 1.4704
I0316 03:31:29.237965  4180 solver.cpp:203]     Train net output #0: loss = 1.4704 (* 1 = 1.4704 loss)
I0316 03:31:29.237977  4180 solver.cpp:449] Iteration 19600, lr = 0.005
I0316 03:33:16.994997  4180 solver.cpp:188] Iteration 19640, loss = 1.41221
I0316 03:33:16.995115  4180 solver.cpp:203]     Train net output #0: loss = 1.41221 (* 1 = 1.41221 loss)
I0316 03:33:16.995136  4180 solver.cpp:449] Iteration 19640, lr = 0.005
I0316 03:35:01.068493  4180 solver.cpp:188] Iteration 19680, loss = 1.13393
I0316 03:35:01.068603  4180 solver.cpp:203]     Train net output #0: loss = 1.13393 (* 1 = 1.13393 loss)
I0316 03:35:01.068614  4180 solver.cpp:449] Iteration 19680, lr = 0.005
I0316 03:36:41.685050  4180 solver.cpp:188] Iteration 19720, loss = 1.18254
I0316 03:36:41.685221  4180 solver.cpp:203]     Train net output #0: loss = 1.18254 (* 1 = 1.18254 loss)
I0316 03:36:41.685233  4180 solver.cpp:449] Iteration 19720, lr = 0.005
I0316 03:38:19.147105  4180 solver.cpp:188] Iteration 19760, loss = 1.26259
I0316 03:38:19.147227  4180 solver.cpp:203]     Train net output #0: loss = 1.26259 (* 1 = 1.26259 loss)
I0316 03:38:19.147238  4180 solver.cpp:449] Iteration 19760, lr = 0.005
I0316 03:39:52.221084  4180 solver.cpp:188] Iteration 19800, loss = 1.33282
I0316 03:39:52.221215  4180 solver.cpp:203]     Train net output #0: loss = 1.33282 (* 1 = 1.33282 loss)
I0316 03:39:52.221225  4180 solver.cpp:449] Iteration 19800, lr = 0.005
I0316 03:41:20.342432  4180 solver.cpp:188] Iteration 19840, loss = 1.2486
I0316 03:41:20.342545  4180 solver.cpp:203]     Train net output #0: loss = 1.2486 (* 1 = 1.2486 loss)
I0316 03:41:20.342555  4180 solver.cpp:449] Iteration 19840, lr = 0.005
I0316 03:42:45.573956  4180 solver.cpp:188] Iteration 19880, loss = 1.20113
I0316 03:42:45.574090  4180 solver.cpp:203]     Train net output #0: loss = 1.20113 (* 1 = 1.20113 loss)
I0316 03:42:45.574111  4180 solver.cpp:449] Iteration 19880, lr = 0.005
I0316 03:44:12.525616  4180 solver.cpp:188] Iteration 19920, loss = 1.29219
I0316 03:44:12.525701  4180 solver.cpp:203]     Train net output #0: loss = 1.29219 (* 1 = 1.29219 loss)
I0316 03:44:12.525712  4180 solver.cpp:449] Iteration 19920, lr = 0.005
I0316 03:45:40.973080  4180 solver.cpp:188] Iteration 19960, loss = 1.23527
I0316 03:45:40.973191  4180 solver.cpp:203]     Train net output #0: loss = 1.23527 (* 1 = 1.23527 loss)
I0316 03:45:40.973212  4180 solver.cpp:449] Iteration 19960, lr = 0.005
I0316 03:47:09.709396  4180 solver.cpp:337] Snapshotting to cache/flic/flic_iter_20000.caffemodel
I0316 03:47:10.701812  4180 solver.cpp:345] Snapshotting solver state to cache/flic/flic_iter_20000.solverstate
I0316 03:47:11.096345  4180 solver.cpp:266] Iteration 20000, Testing net (#0)
I0316 03:47:56.688524  4180 solver.cpp:317]     Test net output #0: accuracy = 0.612972
I0316 03:47:56.688622  4180 solver.cpp:317]     Test net output #1: loss = 1.2159 (* 1 = 1.2159 loss)
I0316 03:47:56.802470  4180 solver.cpp:188] Iteration 20000, loss = 1.15455
I0316 03:47:56.802510  4180 solver.cpp:203]     Train net output #0: loss = 1.15455 (* 1 = 1.15455 loss)
I0316 03:47:56.802518  4180 solver.cpp:449] Iteration 20000, lr = 0.0005
I0316 03:49:37.116593  4180 solver.cpp:188] Iteration 20040, loss = 1.05969
I0316 03:49:37.116767  4180 solver.cpp:203]     Train net output #0: loss = 1.05969 (* 1 = 1.05969 loss)
I0316 03:49:37.116780  4180 solver.cpp:449] Iteration 20040, lr = 0.0005
I0316 03:51:17.560345  4180 solver.cpp:188] Iteration 20080, loss = 1.07872
I0316 03:51:17.560442  4180 solver.cpp:203]     Train net output #0: loss = 1.07872 (* 1 = 1.07872 loss)
I0316 03:51:17.560452  4180 solver.cpp:449] Iteration 20080, lr = 0.0005
I0316 03:52:57.610092  4180 solver.cpp:188] Iteration 20120, loss = 1.04231
I0316 03:52:57.610189  4180 solver.cpp:203]     Train net output #0: loss = 1.04231 (* 1 = 1.04231 loss)
I0316 03:52:57.610199  4180 solver.cpp:449] Iteration 20120, lr = 0.0005
I0316 03:54:39.678302  4180 solver.cpp:188] Iteration 20160, loss = 1.14102
I0316 03:54:39.678436  4180 solver.cpp:203]     Train net output #0: loss = 1.14102 (* 1 = 1.14102 loss)
I0316 03:54:39.678457  4180 solver.cpp:449] Iteration 20160, lr = 0.0005
I0316 03:56:21.636078  4180 solver.cpp:188] Iteration 20200, loss = 1.07567
I0316 03:56:21.636203  4180 solver.cpp:203]     Train net output #0: loss = 1.07567 (* 1 = 1.07567 loss)
I0316 03:56:21.636214  4180 solver.cpp:449] Iteration 20200, lr = 0.0005
I0316 03:58:05.347331  4180 solver.cpp:188] Iteration 20240, loss = 1.09849
I0316 03:58:05.347458  4180 solver.cpp:203]     Train net output #0: loss = 1.09849 (* 1 = 1.09849 loss)
I0316 03:58:05.347468  4180 solver.cpp:449] Iteration 20240, lr = 0.0005
I0316 03:59:48.309707  4180 solver.cpp:188] Iteration 20280, loss = 1.0668
I0316 03:59:48.309835  4180 solver.cpp:203]     Train net output #0: loss = 1.0668 (* 1 = 1.0668 loss)
I0316 03:59:48.309846  4180 solver.cpp:449] Iteration 20280, lr = 0.0005
I0316 04:01:31.839514  4180 solver.cpp:188] Iteration 20320, loss = 1.10341
I0316 04:01:31.839661  4180 solver.cpp:203]     Train net output #0: loss = 1.10341 (* 1 = 1.10341 loss)
I0316 04:01:31.839673  4180 solver.cpp:449] Iteration 20320, lr = 0.0005
I0316 04:03:15.456245  4180 solver.cpp:188] Iteration 20360, loss = 1.07791
I0316 04:03:15.456365  4180 solver.cpp:203]     Train net output #0: loss = 1.07791 (* 1 = 1.07791 loss)
I0316 04:03:15.456387  4180 solver.cpp:449] Iteration 20360, lr = 0.0005
I0316 04:04:59.790956  4180 solver.cpp:188] Iteration 20400, loss = 1.13266
I0316 04:04:59.791057  4180 solver.cpp:203]     Train net output #0: loss = 1.13266 (* 1 = 1.13266 loss)
I0316 04:04:59.791079  4180 solver.cpp:449] Iteration 20400, lr = 0.0005
I0316 04:06:45.732352  4180 solver.cpp:188] Iteration 20440, loss = 1.01676
I0316 04:06:45.732481  4180 solver.cpp:203]     Train net output #0: loss = 1.01676 (* 1 = 1.01676 loss)
I0316 04:06:45.732492  4180 solver.cpp:449] Iteration 20440, lr = 0.0005
I0316 04:08:30.284086  4180 solver.cpp:188] Iteration 20480, loss = 1.06595
I0316 04:08:30.284219  4180 solver.cpp:203]     Train net output #0: loss = 1.06595 (* 1 = 1.06595 loss)
I0316 04:08:30.284230  4180 solver.cpp:449] Iteration 20480, lr = 0.0005
I0316 04:10:15.008033  4180 solver.cpp:188] Iteration 20520, loss = 1.02644
I0316 04:10:15.008147  4180 solver.cpp:203]     Train net output #0: loss = 1.02644 (* 1 = 1.02644 loss)
I0316 04:10:15.008168  4180 solver.cpp:449] Iteration 20520, lr = 0.0005
I0316 04:11:57.183818  4180 solver.cpp:188] Iteration 20560, loss = 1.0387
I0316 04:11:57.183977  4180 solver.cpp:203]     Train net output #0: loss = 1.0387 (* 1 = 1.0387 loss)
I0316 04:11:57.183990  4180 solver.cpp:449] Iteration 20560, lr = 0.0005
I0316 04:13:37.458930  4180 solver.cpp:188] Iteration 20600, loss = 1.15929
I0316 04:13:37.459049  4180 solver.cpp:203]     Train net output #0: loss = 1.15929 (* 1 = 1.15929 loss)
I0316 04:13:37.459069  4180 solver.cpp:449] Iteration 20600, lr = 0.0005
I0316 04:15:11.794247  4180 solver.cpp:188] Iteration 20640, loss = 1.07187
I0316 04:15:11.794352  4180 solver.cpp:203]     Train net output #0: loss = 1.07187 (* 1 = 1.07187 loss)
I0316 04:15:11.794363  4180 solver.cpp:449] Iteration 20640, lr = 0.0005
I0316 04:16:47.120251  4180 solver.cpp:188] Iteration 20680, loss = 1.01862
I0316 04:16:47.120344  4180 solver.cpp:203]     Train net output #0: loss = 1.01862 (* 1 = 1.01862 loss)
I0316 04:16:47.120355  4180 solver.cpp:449] Iteration 20680, lr = 0.0005
I0316 04:18:22.155616  4180 solver.cpp:188] Iteration 20720, loss = 0.999233
I0316 04:18:22.155747  4180 solver.cpp:203]     Train net output #0: loss = 0.999233 (* 1 = 0.999233 loss)
I0316 04:18:22.155761  4180 solver.cpp:449] Iteration 20720, lr = 0.0005
I0316 04:19:57.484040  4180 solver.cpp:188] Iteration 20760, loss = 1.13165
I0316 04:19:57.484129  4180 solver.cpp:203]     Train net output #0: loss = 1.13165 (* 1 = 1.13165 loss)
I0316 04:19:57.484140  4180 solver.cpp:449] Iteration 20760, lr = 0.0005
I0316 04:21:32.086225  4180 solver.cpp:188] Iteration 20800, loss = 1.01018
I0316 04:21:32.086326  4180 solver.cpp:203]     Train net output #0: loss = 1.01018 (* 1 = 1.01018 loss)
I0316 04:21:32.086347  4180 solver.cpp:449] Iteration 20800, lr = 0.0005
I0316 04:23:06.718987  4180 solver.cpp:188] Iteration 20840, loss = 1.02493
I0316 04:23:06.719121  4180 solver.cpp:203]     Train net output #0: loss = 1.02493 (* 1 = 1.02493 loss)
I0316 04:23:06.719142  4180 solver.cpp:449] Iteration 20840, lr = 0.0005
I0316 04:24:43.343289  4180 solver.cpp:188] Iteration 20880, loss = 1.0096
I0316 04:24:43.343415  4180 solver.cpp:203]     Train net output #0: loss = 1.0096 (* 1 = 1.0096 loss)
I0316 04:24:43.343437  4180 solver.cpp:449] Iteration 20880, lr = 0.0005
I0316 04:26:19.012686  4180 solver.cpp:188] Iteration 20920, loss = 1.11201
I0316 04:26:19.012812  4180 solver.cpp:203]     Train net output #0: loss = 1.11201 (* 1 = 1.11201 loss)
I0316 04:26:19.012823  4180 solver.cpp:449] Iteration 20920, lr = 0.0005
I0316 04:27:53.838934  4180 solver.cpp:188] Iteration 20960, loss = 1.07379
I0316 04:27:53.839107  4180 solver.cpp:203]     Train net output #0: loss = 1.07379 (* 1 = 1.07379 loss)
I0316 04:27:53.839119  4180 solver.cpp:449] Iteration 20960, lr = 0.0005
I0316 04:29:29.120028  4180 solver.cpp:188] Iteration 21000, loss = 0.989805
I0316 04:29:29.120146  4180 solver.cpp:203]     Train net output #0: loss = 0.989805 (* 1 = 0.989805 loss)
I0316 04:29:29.120168  4180 solver.cpp:449] Iteration 21000, lr = 0.0005
I0316 04:31:07.127751  4180 solver.cpp:188] Iteration 21040, loss = 1.00237
I0316 04:31:07.127882  4180 solver.cpp:203]     Train net output #0: loss = 1.00237 (* 1 = 1.00237 loss)
I0316 04:31:07.127893  4180 solver.cpp:449] Iteration 21040, lr = 0.0005
I0316 04:32:43.280138  4180 solver.cpp:188] Iteration 21080, loss = 0.988393
I0316 04:32:43.280244  4180 solver.cpp:203]     Train net output #0: loss = 0.988393 (* 1 = 0.988393 loss)
I0316 04:32:43.280256  4180 solver.cpp:449] Iteration 21080, lr = 0.0005
I0316 04:34:19.718422  4180 solver.cpp:188] Iteration 21120, loss = 1.03974
I0316 04:34:19.718544  4180 solver.cpp:203]     Train net output #0: loss = 1.03974 (* 1 = 1.03974 loss)
I0316 04:34:19.718556  4180 solver.cpp:449] Iteration 21120, lr = 0.0005
I0316 04:35:57.528682  4180 solver.cpp:188] Iteration 21160, loss = 1.01644
I0316 04:35:57.528803  4180 solver.cpp:203]     Train net output #0: loss = 1.01644 (* 1 = 1.01644 loss)
I0316 04:35:57.528815  4180 solver.cpp:449] Iteration 21160, lr = 0.0005
I0316 04:37:35.043356  4180 solver.cpp:188] Iteration 21200, loss = 1.04859
I0316 04:37:35.043479  4180 solver.cpp:203]     Train net output #0: loss = 1.04859 (* 1 = 1.04859 loss)
I0316 04:37:35.043490  4180 solver.cpp:449] Iteration 21200, lr = 0.0005
I0316 04:38:42.992496  4180 solver.cpp:188] Iteration 21240, loss = 1.24287
I0316 04:38:42.992610  4180 solver.cpp:203]     Train net output #0: loss = 1.24287 (* 1 = 1.24287 loss)
I0316 04:38:42.992624  4180 solver.cpp:449] Iteration 21240, lr = 0.0005
I0316 04:40:21.893075  4180 solver.cpp:188] Iteration 21280, loss = 1.07077
I0316 04:40:21.893192  4180 solver.cpp:203]     Train net output #0: loss = 1.07077 (* 1 = 1.07077 loss)
I0316 04:40:21.893213  4180 solver.cpp:449] Iteration 21280, lr = 0.0005
I0316 04:41:58.584856  4180 solver.cpp:188] Iteration 21320, loss = 1.06428
I0316 04:41:58.584966  4180 solver.cpp:203]     Train net output #0: loss = 1.06428 (* 1 = 1.06428 loss)
I0316 04:41:58.584977  4180 solver.cpp:449] Iteration 21320, lr = 0.0005
I0316 04:43:33.579471  4180 solver.cpp:188] Iteration 21360, loss = 1.18984
I0316 04:43:33.579576  4180 solver.cpp:203]     Train net output #0: loss = 1.18984 (* 1 = 1.18984 loss)
I0316 04:43:33.579586  4180 solver.cpp:449] Iteration 21360, lr = 0.0005
I0316 04:45:10.349097  4180 solver.cpp:188] Iteration 21400, loss = 0.951095
I0316 04:45:10.349220  4180 solver.cpp:203]     Train net output #0: loss = 0.951095 (* 1 = 0.951095 loss)
I0316 04:45:10.349231  4180 solver.cpp:449] Iteration 21400, lr = 0.0005
I0316 04:46:46.736856  4180 solver.cpp:188] Iteration 21440, loss = 1.17193
I0316 04:46:46.736985  4180 solver.cpp:203]     Train net output #0: loss = 1.17193 (* 1 = 1.17193 loss)
I0316 04:46:46.736996  4180 solver.cpp:449] Iteration 21440, lr = 0.0005
I0316 04:48:23.095100  4180 solver.cpp:188] Iteration 21480, loss = 1.11944
I0316 04:48:23.095218  4180 solver.cpp:203]     Train net output #0: loss = 1.11944 (* 1 = 1.11944 loss)
I0316 04:48:23.095229  4180 solver.cpp:449] Iteration 21480, lr = 0.0005
I0316 04:49:59.071315  4180 solver.cpp:188] Iteration 21520, loss = 1.09208
I0316 04:49:59.071434  4180 solver.cpp:203]     Train net output #0: loss = 1.09208 (* 1 = 1.09208 loss)
I0316 04:49:59.071445  4180 solver.cpp:449] Iteration 21520, lr = 0.0005
I0316 04:51:35.251878  4180 solver.cpp:188] Iteration 21560, loss = 1.07549
I0316 04:51:35.252002  4180 solver.cpp:203]     Train net output #0: loss = 1.07549 (* 1 = 1.07549 loss)
I0316 04:51:35.252022  4180 solver.cpp:449] Iteration 21560, lr = 0.0005
I0316 04:53:11.931056  4180 solver.cpp:188] Iteration 21600, loss = 1.00866
I0316 04:53:11.931206  4180 solver.cpp:203]     Train net output #0: loss = 1.00866 (* 1 = 1.00866 loss)
I0316 04:53:11.931218  4180 solver.cpp:449] Iteration 21600, lr = 0.0005
I0316 04:54:48.659970  4180 solver.cpp:188] Iteration 21640, loss = 1.04504
I0316 04:54:48.660094  4180 solver.cpp:203]     Train net output #0: loss = 1.04504 (* 1 = 1.04504 loss)
I0316 04:54:48.660104  4180 solver.cpp:449] Iteration 21640, lr = 0.0005
I0316 04:56:23.836325  4180 solver.cpp:188] Iteration 21680, loss = 0.973802
I0316 04:56:23.836455  4180 solver.cpp:203]     Train net output #0: loss = 0.973802 (* 1 = 0.973802 loss)
I0316 04:56:23.836467  4180 solver.cpp:449] Iteration 21680, lr = 0.0005
I0316 04:58:01.180644  4180 solver.cpp:188] Iteration 21720, loss = 1.06319
I0316 04:58:01.180775  4180 solver.cpp:203]     Train net output #0: loss = 1.06319 (* 1 = 1.06319 loss)
I0316 04:58:01.180796  4180 solver.cpp:449] Iteration 21720, lr = 0.0005
I0316 04:59:36.139346  4180 solver.cpp:188] Iteration 21760, loss = 1.08803
I0316 04:59:36.139468  4180 solver.cpp:203]     Train net output #0: loss = 1.08803 (* 1 = 1.08803 loss)
I0316 04:59:36.139480  4180 solver.cpp:449] Iteration 21760, lr = 0.0005
I0316 05:01:10.807358  4180 solver.cpp:188] Iteration 21800, loss = 1.05002
I0316 05:01:10.807500  4180 solver.cpp:203]     Train net output #0: loss = 1.05002 (* 1 = 1.05002 loss)
I0316 05:01:10.807515  4180 solver.cpp:449] Iteration 21800, lr = 0.0005
I0316 05:02:46.119106  4180 solver.cpp:188] Iteration 21840, loss = 1.05207
I0316 05:02:46.119232  4180 solver.cpp:203]     Train net output #0: loss = 1.05207 (* 1 = 1.05207 loss)
I0316 05:02:46.119243  4180 solver.cpp:449] Iteration 21840, lr = 0.0005
I0316 05:04:20.192528  4180 solver.cpp:188] Iteration 21880, loss = 1.08668
I0316 05:04:20.192677  4180 solver.cpp:203]     Train net output #0: loss = 1.08668 (* 1 = 1.08668 loss)
I0316 05:04:20.192688  4180 solver.cpp:449] Iteration 21880, lr = 0.0005
I0316 05:05:55.055730  4180 solver.cpp:188] Iteration 21920, loss = 1.07882
I0316 05:05:55.055845  4180 solver.cpp:203]     Train net output #0: loss = 1.07882 (* 1 = 1.07882 loss)
I0316 05:05:55.055855  4180 solver.cpp:449] Iteration 21920, lr = 0.0005
I0316 05:07:28.094409  4180 solver.cpp:188] Iteration 21960, loss = 1.10483
I0316 05:07:28.094527  4180 solver.cpp:203]     Train net output #0: loss = 1.10483 (* 1 = 1.10483 loss)
I0316 05:07:28.094537  4180 solver.cpp:449] Iteration 21960, lr = 0.0005
I0316 05:09:01.546648  4180 solver.cpp:188] Iteration 22000, loss = 1.04563
I0316 05:09:01.546790  4180 solver.cpp:203]     Train net output #0: loss = 1.04563 (* 1 = 1.04563 loss)
I0316 05:09:01.546802  4180 solver.cpp:449] Iteration 22000, lr = 0.0005
I0316 05:10:35.343884  4180 solver.cpp:188] Iteration 22040, loss = 1.1084
I0316 05:10:35.344002  4180 solver.cpp:203]     Train net output #0: loss = 1.1084 (* 1 = 1.1084 loss)
I0316 05:10:35.344012  4180 solver.cpp:449] Iteration 22040, lr = 0.0005
I0316 05:12:10.056819  4180 solver.cpp:188] Iteration 22080, loss = 1.09707
I0316 05:12:10.056937  4180 solver.cpp:203]     Train net output #0: loss = 1.09707 (* 1 = 1.09707 loss)
I0316 05:12:10.056962  4180 solver.cpp:449] Iteration 22080, lr = 0.0005
I0316 05:13:44.797770  4180 solver.cpp:188] Iteration 22120, loss = 1.01619
I0316 05:13:44.797900  4180 solver.cpp:203]     Train net output #0: loss = 1.01619 (* 1 = 1.01619 loss)
I0316 05:13:44.797911  4180 solver.cpp:449] Iteration 22120, lr = 0.0005
I0316 05:15:18.779453  4180 solver.cpp:188] Iteration 22160, loss = 0.991844
I0316 05:15:18.779579  4180 solver.cpp:203]     Train net output #0: loss = 0.991844 (* 1 = 0.991844 loss)
I0316 05:15:18.779590  4180 solver.cpp:449] Iteration 22160, lr = 0.0005
I0316 05:16:53.199798  4180 solver.cpp:188] Iteration 22200, loss = 1.0486
I0316 05:16:53.199899  4180 solver.cpp:203]     Train net output #0: loss = 1.0486 (* 1 = 1.0486 loss)
I0316 05:16:53.199910  4180 solver.cpp:449] Iteration 22200, lr = 0.0005
I0316 05:18:27.932898  4180 solver.cpp:188] Iteration 22240, loss = 1.05226
I0316 05:18:27.933046  4180 solver.cpp:203]     Train net output #0: loss = 1.05226 (* 1 = 1.05226 loss)
I0316 05:18:27.933058  4180 solver.cpp:449] Iteration 22240, lr = 0.0005
I0316 05:20:02.617645  4180 solver.cpp:188] Iteration 22280, loss = 1.10109
I0316 05:20:02.617799  4180 solver.cpp:203]     Train net output #0: loss = 1.10109 (* 1 = 1.10109 loss)
I0316 05:20:02.617811  4180 solver.cpp:449] Iteration 22280, lr = 0.0005
I0316 05:21:37.109362  4180 solver.cpp:188] Iteration 22320, loss = 1.04049
I0316 05:21:37.109521  4180 solver.cpp:203]     Train net output #0: loss = 1.04049 (* 1 = 1.04049 loss)
I0316 05:21:37.109534  4180 solver.cpp:449] Iteration 22320, lr = 0.0005
I0316 05:23:12.021643  4180 solver.cpp:188] Iteration 22360, loss = 1.08202
I0316 05:23:12.021749  4180 solver.cpp:203]     Train net output #0: loss = 1.08202 (* 1 = 1.08202 loss)
I0316 05:23:12.021760  4180 solver.cpp:449] Iteration 22360, lr = 0.0005
I0316 05:24:46.728287  4180 solver.cpp:188] Iteration 22400, loss = 0.967533
I0316 05:24:46.728410  4180 solver.cpp:203]     Train net output #0: loss = 0.967533 (* 1 = 0.967533 loss)
I0316 05:24:46.728420  4180 solver.cpp:449] Iteration 22400, lr = 0.0005
I0316 05:26:22.843060  4180 solver.cpp:188] Iteration 22440, loss = 1.04811
I0316 05:26:22.843183  4180 solver.cpp:203]     Train net output #0: loss = 1.04811 (* 1 = 1.04811 loss)
I0316 05:26:22.843194  4180 solver.cpp:449] Iteration 22440, lr = 0.0005
I0316 05:27:58.439501  4180 solver.cpp:188] Iteration 22480, loss = 0.871977
I0316 05:27:58.439653  4180 solver.cpp:203]     Train net output #0: loss = 0.871977 (* 1 = 0.871977 loss)
I0316 05:27:58.439664  4180 solver.cpp:449] Iteration 22480, lr = 0.0005
I0316 05:29:34.569375  4180 solver.cpp:188] Iteration 22520, loss = 1.0217
I0316 05:29:34.569530  4180 solver.cpp:203]     Train net output #0: loss = 1.0217 (* 1 = 1.0217 loss)
I0316 05:29:34.569550  4180 solver.cpp:449] Iteration 22520, lr = 0.0005
I0316 05:31:11.174528  4180 solver.cpp:188] Iteration 22560, loss = 0.993419
I0316 05:31:11.174605  4180 solver.cpp:203]     Train net output #0: loss = 0.993419 (* 1 = 0.993419 loss)
I0316 05:31:11.174615  4180 solver.cpp:449] Iteration 22560, lr = 0.0005
I0316 05:32:46.544692  4180 solver.cpp:188] Iteration 22600, loss = 1.16395
I0316 05:32:46.544803  4180 solver.cpp:203]     Train net output #0: loss = 1.16395 (* 1 = 1.16395 loss)
I0316 05:32:46.544823  4180 solver.cpp:449] Iteration 22600, lr = 0.0005
I0316 05:34:23.132230  4180 solver.cpp:188] Iteration 22640, loss = 1.00257
I0316 05:34:23.132365  4180 solver.cpp:203]     Train net output #0: loss = 1.00257 (* 1 = 1.00257 loss)
I0316 05:34:23.132376  4180 solver.cpp:449] Iteration 22640, lr = 0.0005
I0316 05:35:59.532611  4180 solver.cpp:188] Iteration 22680, loss = 0.969168
I0316 05:35:59.532734  4180 solver.cpp:203]     Train net output #0: loss = 0.969168 (* 1 = 0.969168 loss)
I0316 05:35:59.532745  4180 solver.cpp:449] Iteration 22680, lr = 0.0005
I0316 05:37:35.202168  4180 solver.cpp:188] Iteration 22720, loss = 0.948352
I0316 05:37:35.202292  4180 solver.cpp:203]     Train net output #0: loss = 0.948352 (* 1 = 0.948352 loss)
I0316 05:37:35.202319  4180 solver.cpp:449] Iteration 22720, lr = 0.0005
I0316 05:39:10.554777  4180 solver.cpp:188] Iteration 22760, loss = 1.05695
I0316 05:39:10.554893  4180 solver.cpp:203]     Train net output #0: loss = 1.05695 (* 1 = 1.05695 loss)
I0316 05:39:10.554913  4180 solver.cpp:449] Iteration 22760, lr = 0.0005
I0316 05:40:45.021389  4180 solver.cpp:188] Iteration 22800, loss = 0.988971
I0316 05:40:45.021525  4180 solver.cpp:203]     Train net output #0: loss = 0.988971 (* 1 = 0.988971 loss)
I0316 05:40:45.021539  4180 solver.cpp:449] Iteration 22800, lr = 0.0005
I0316 05:42:22.340764  4180 solver.cpp:188] Iteration 22840, loss = 0.943634
I0316 05:42:22.340885  4180 solver.cpp:203]     Train net output #0: loss = 0.943634 (* 1 = 0.943634 loss)
I0316 05:42:22.340896  4180 solver.cpp:449] Iteration 22840, lr = 0.0005
I0316 05:43:57.748090  4180 solver.cpp:188] Iteration 22880, loss = 0.904369
I0316 05:43:57.748240  4180 solver.cpp:203]     Train net output #0: loss = 0.904369 (* 1 = 0.904369 loss)
I0316 05:43:57.748251  4180 solver.cpp:449] Iteration 22880, lr = 0.0005
I0316 05:45:33.950333  4180 solver.cpp:188] Iteration 22920, loss = 0.988014
I0316 05:45:33.950453  4180 solver.cpp:203]     Train net output #0: loss = 0.988014 (* 1 = 0.988014 loss)
I0316 05:45:33.950464  4180 solver.cpp:449] Iteration 22920, lr = 0.0005
I0316 05:47:09.482604  4180 solver.cpp:188] Iteration 22960, loss = 0.912987
I0316 05:47:09.482746  4180 solver.cpp:203]     Train net output #0: loss = 0.912987 (* 1 = 0.912987 loss)
I0316 05:47:09.482758  4180 solver.cpp:449] Iteration 22960, lr = 0.0005
I0316 05:48:44.105751  4180 solver.cpp:188] Iteration 23000, loss = 1.09453
I0316 05:48:44.105868  4180 solver.cpp:203]     Train net output #0: loss = 1.09453 (* 1 = 1.09453 loss)
I0316 05:48:44.105890  4180 solver.cpp:449] Iteration 23000, lr = 0.0005
I0316 05:50:20.244563  4180 solver.cpp:188] Iteration 23040, loss = 0.94528
I0316 05:50:20.244676  4180 solver.cpp:203]     Train net output #0: loss = 0.94528 (* 1 = 0.94528 loss)
I0316 05:50:20.244698  4180 solver.cpp:449] Iteration 23040, lr = 0.0005
I0316 05:51:54.847255  4180 solver.cpp:188] Iteration 23080, loss = 0.944568
I0316 05:51:54.847379  4180 solver.cpp:203]     Train net output #0: loss = 0.944568 (* 1 = 0.944568 loss)
I0316 05:51:54.847390  4180 solver.cpp:449] Iteration 23080, lr = 0.0005
I0316 05:53:29.605600  4180 solver.cpp:188] Iteration 23120, loss = 0.980278
I0316 05:53:29.605731  4180 solver.cpp:203]     Train net output #0: loss = 0.980278 (* 1 = 0.980278 loss)
I0316 05:53:29.605742  4180 solver.cpp:449] Iteration 23120, lr = 0.0005
I0316 05:55:05.720443  4180 solver.cpp:188] Iteration 23160, loss = 0.924606
I0316 05:55:05.720576  4180 solver.cpp:203]     Train net output #0: loss = 0.924606 (* 1 = 0.924606 loss)
I0316 05:55:05.720587  4180 solver.cpp:449] Iteration 23160, lr = 0.0005
I0316 05:56:41.378998  4180 solver.cpp:188] Iteration 23200, loss = 1.07158
I0316 05:56:41.379117  4180 solver.cpp:203]     Train net output #0: loss = 1.07158 (* 1 = 1.07158 loss)
I0316 05:56:41.379127  4180 solver.cpp:449] Iteration 23200, lr = 0.0005
I0316 05:58:16.386243  4180 solver.cpp:188] Iteration 23240, loss = 0.96071
I0316 05:58:16.386368  4180 solver.cpp:203]     Train net output #0: loss = 0.96071 (* 1 = 0.96071 loss)
I0316 05:58:16.386379  4180 solver.cpp:449] Iteration 23240, lr = 0.0005
I0316 05:59:51.978073  4180 solver.cpp:188] Iteration 23280, loss = 1.02944
I0316 05:59:51.978185  4180 solver.cpp:203]     Train net output #0: loss = 1.02944 (* 1 = 1.02944 loss)
I0316 05:59:51.978196  4180 solver.cpp:449] Iteration 23280, lr = 0.0005
I0316 06:01:28.041635  4180 solver.cpp:188] Iteration 23320, loss = 1.06196
I0316 06:01:28.041756  4180 solver.cpp:203]     Train net output #0: loss = 1.06196 (* 1 = 1.06196 loss)
I0316 06:01:28.041780  4180 solver.cpp:449] Iteration 23320, lr = 0.0005
I0316 06:03:03.060586  4180 solver.cpp:188] Iteration 23360, loss = 0.91003
I0316 06:03:03.060691  4180 solver.cpp:203]     Train net output #0: loss = 0.91003 (* 1 = 0.91003 loss)
I0316 06:03:03.060713  4180 solver.cpp:449] Iteration 23360, lr = 0.0005
I0316 06:04:38.994112  4180 solver.cpp:188] Iteration 23400, loss = 0.962206
I0316 06:04:38.994259  4180 solver.cpp:203]     Train net output #0: loss = 0.962206 (* 1 = 0.962206 loss)
I0316 06:04:38.994274  4180 solver.cpp:449] Iteration 23400, lr = 0.0005
I0316 06:06:15.884095  4180 solver.cpp:188] Iteration 23440, loss = 0.788619
I0316 06:06:15.884202  4180 solver.cpp:203]     Train net output #0: loss = 0.788619 (* 1 = 0.788619 loss)
I0316 06:06:15.884213  4180 solver.cpp:449] Iteration 23440, lr = 0.0005
I0316 06:07:52.570212  4180 solver.cpp:188] Iteration 23480, loss = 1.04624
I0316 06:07:52.570344  4180 solver.cpp:203]     Train net output #0: loss = 1.04624 (* 1 = 1.04624 loss)
I0316 06:07:52.570356  4180 solver.cpp:449] Iteration 23480, lr = 0.0005
I0316 06:09:27.805235  4180 solver.cpp:188] Iteration 23520, loss = 0.886888
I0316 06:09:27.805377  4180 solver.cpp:203]     Train net output #0: loss = 0.886888 (* 1 = 0.886888 loss)
I0316 06:09:27.805387  4180 solver.cpp:449] Iteration 23520, lr = 0.0005
I0316 06:11:03.691858  4180 solver.cpp:188] Iteration 23560, loss = 0.962896
I0316 06:11:03.691990  4180 solver.cpp:203]     Train net output #0: loss = 0.962896 (* 1 = 0.962896 loss)
I0316 06:11:03.692001  4180 solver.cpp:449] Iteration 23560, lr = 0.0005
I0316 06:12:40.962184  4180 solver.cpp:188] Iteration 23600, loss = 0.998623
I0316 06:12:40.962379  4180 solver.cpp:203]     Train net output #0: loss = 0.998623 (* 1 = 0.998623 loss)
I0316 06:12:40.962390  4180 solver.cpp:449] Iteration 23600, lr = 0.0005
I0316 06:14:16.638352  4180 solver.cpp:188] Iteration 23640, loss = 0.848843
I0316 06:14:16.638479  4180 solver.cpp:203]     Train net output #0: loss = 0.848843 (* 1 = 0.848843 loss)
I0316 06:14:16.638490  4180 solver.cpp:449] Iteration 23640, lr = 0.0005
I0316 06:15:52.458947  4180 solver.cpp:188] Iteration 23680, loss = 0.869494
I0316 06:15:52.459061  4180 solver.cpp:203]     Train net output #0: loss = 0.869494 (* 1 = 0.869494 loss)
I0316 06:15:52.459072  4180 solver.cpp:449] Iteration 23680, lr = 0.0005
I0316 06:17:28.796838  4180 solver.cpp:188] Iteration 23720, loss = 0.940258
I0316 06:17:28.796952  4180 solver.cpp:203]     Train net output #0: loss = 0.940258 (* 1 = 0.940258 loss)
I0316 06:17:28.796962  4180 solver.cpp:449] Iteration 23720, lr = 0.0005
I0316 06:19:04.276798  4180 solver.cpp:188] Iteration 23760, loss = 0.900688
I0316 06:19:04.276932  4180 solver.cpp:203]     Train net output #0: loss = 0.900688 (* 1 = 0.900688 loss)
I0316 06:19:04.276943  4180 solver.cpp:449] Iteration 23760, lr = 0.0005
I0316 06:20:40.264499  4180 solver.cpp:188] Iteration 23800, loss = 0.883781
I0316 06:20:40.264641  4180 solver.cpp:203]     Train net output #0: loss = 0.883781 (* 1 = 0.883781 loss)
I0316 06:20:40.264652  4180 solver.cpp:449] Iteration 23800, lr = 0.0005
I0316 06:22:15.945684  4180 solver.cpp:188] Iteration 23840, loss = 0.902409
I0316 06:22:15.945821  4180 solver.cpp:203]     Train net output #0: loss = 0.902409 (* 1 = 0.902409 loss)
I0316 06:22:15.945832  4180 solver.cpp:449] Iteration 23840, lr = 0.0005
I0316 06:23:51.286973  4180 solver.cpp:188] Iteration 23880, loss = 0.906075
I0316 06:23:51.287106  4180 solver.cpp:203]     Train net output #0: loss = 0.906075 (* 1 = 0.906075 loss)
I0316 06:23:51.287117  4180 solver.cpp:449] Iteration 23880, lr = 0.0005
I0316 06:25:26.721933  4180 solver.cpp:188] Iteration 23920, loss = 0.848812
I0316 06:25:26.722054  4180 solver.cpp:203]     Train net output #0: loss = 0.848812 (* 1 = 0.848812 loss)
I0316 06:25:26.722064  4180 solver.cpp:449] Iteration 23920, lr = 0.0005
I0316 06:27:03.134909  4180 solver.cpp:188] Iteration 23960, loss = 0.793072
I0316 06:27:03.135026  4180 solver.cpp:203]     Train net output #0: loss = 0.793072 (* 1 = 0.793072 loss)
I0316 06:27:03.135037  4180 solver.cpp:449] Iteration 23960, lr = 0.0005
I0316 06:28:38.669101  4180 solver.cpp:188] Iteration 24000, loss = 0.900095
I0316 06:28:38.669216  4180 solver.cpp:203]     Train net output #0: loss = 0.900095 (* 1 = 0.900095 loss)
I0316 06:28:38.669237  4180 solver.cpp:449] Iteration 24000, lr = 0.0005
I0316 06:30:14.909394  4180 solver.cpp:188] Iteration 24040, loss = 0.861678
I0316 06:30:14.909512  4180 solver.cpp:203]     Train net output #0: loss = 0.861678 (* 1 = 0.861678 loss)
I0316 06:30:14.909523  4180 solver.cpp:449] Iteration 24040, lr = 0.0005
I0316 06:31:52.000954  4180 solver.cpp:188] Iteration 24080, loss = 0.96274
I0316 06:31:52.001077  4180 solver.cpp:203]     Train net output #0: loss = 0.96274 (* 1 = 0.96274 loss)
I0316 06:31:52.001097  4180 solver.cpp:449] Iteration 24080, lr = 0.0005
I0316 06:33:28.803360  4180 solver.cpp:188] Iteration 24120, loss = 0.885206
I0316 06:33:28.803478  4180 solver.cpp:203]     Train net output #0: loss = 0.885206 (* 1 = 0.885206 loss)
I0316 06:33:28.803489  4180 solver.cpp:449] Iteration 24120, lr = 0.0005
I0316 06:35:04.563694  4180 solver.cpp:188] Iteration 24160, loss = 0.846602
I0316 06:35:04.563827  4180 solver.cpp:203]     Train net output #0: loss = 0.846602 (* 1 = 0.846602 loss)
I0316 06:35:04.563838  4180 solver.cpp:449] Iteration 24160, lr = 0.0005
I0316 06:36:40.378000  4180 solver.cpp:188] Iteration 24200, loss = 0.853128
I0316 06:36:40.378118  4180 solver.cpp:203]     Train net output #0: loss = 0.853128 (* 1 = 0.853128 loss)
I0316 06:36:40.378129  4180 solver.cpp:449] Iteration 24200, lr = 0.0005
I0316 06:38:16.284456  4180 solver.cpp:188] Iteration 24240, loss = 0.826148
I0316 06:38:16.284569  4180 solver.cpp:203]     Train net output #0: loss = 0.826148 (* 1 = 0.826148 loss)
I0316 06:38:16.284580  4180 solver.cpp:449] Iteration 24240, lr = 0.0005
I0316 06:39:50.834698  4180 solver.cpp:188] Iteration 24280, loss = 0.786166
I0316 06:39:50.834839  4180 solver.cpp:203]     Train net output #0: loss = 0.786166 (* 1 = 0.786166 loss)
I0316 06:39:50.834851  4180 solver.cpp:449] Iteration 24280, lr = 0.0005
I0316 06:41:25.046835  4180 solver.cpp:188] Iteration 24320, loss = 0.722036
I0316 06:41:25.046952  4180 solver.cpp:203]     Train net output #0: loss = 0.722036 (* 1 = 0.722036 loss)
I0316 06:41:25.046973  4180 solver.cpp:449] Iteration 24320, lr = 0.0005
I0316 06:43:01.153345  4180 solver.cpp:188] Iteration 24360, loss = 0.77686
I0316 06:43:01.153462  4180 solver.cpp:203]     Train net output #0: loss = 0.77686 (* 1 = 0.77686 loss)
I0316 06:43:01.153473  4180 solver.cpp:449] Iteration 24360, lr = 0.0005
I0316 06:44:37.084815  4180 solver.cpp:188] Iteration 24400, loss = 0.79293
I0316 06:44:37.084959  4180 solver.cpp:203]     Train net output #0: loss = 0.79293 (* 1 = 0.79293 loss)
I0316 06:44:37.084980  4180 solver.cpp:449] Iteration 24400, lr = 0.0005
I0316 06:46:13.188792  4180 solver.cpp:188] Iteration 24440, loss = 1.01659
I0316 06:46:13.188917  4180 solver.cpp:203]     Train net output #0: loss = 1.01659 (* 1 = 1.01659 loss)
I0316 06:46:13.188927  4180 solver.cpp:449] Iteration 24440, lr = 0.0005
I0316 06:47:49.421807  4180 solver.cpp:188] Iteration 24480, loss = 1.03232
I0316 06:47:49.421931  4180 solver.cpp:203]     Train net output #0: loss = 1.03232 (* 1 = 1.03232 loss)
I0316 06:47:49.421941  4180 solver.cpp:449] Iteration 24480, lr = 0.0005
I0316 06:49:26.176898  4180 solver.cpp:188] Iteration 24520, loss = 1.01484
I0316 06:49:26.177013  4180 solver.cpp:203]     Train net output #0: loss = 1.01484 (* 1 = 1.01484 loss)
I0316 06:49:26.177033  4180 solver.cpp:449] Iteration 24520, lr = 0.0005
I0316 06:51:02.192469  4180 solver.cpp:188] Iteration 24560, loss = 0.979398
I0316 06:51:02.192595  4180 solver.cpp:203]     Train net output #0: loss = 0.979398 (* 1 = 0.979398 loss)
I0316 06:51:02.192605  4180 solver.cpp:449] Iteration 24560, lr = 0.0005
I0316 06:52:37.999315  4180 solver.cpp:188] Iteration 24600, loss = 0.923831
I0316 06:52:37.999438  4180 solver.cpp:203]     Train net output #0: loss = 0.923831 (* 1 = 0.923831 loss)
I0316 06:52:37.999449  4180 solver.cpp:449] Iteration 24600, lr = 0.0005
I0316 06:54:14.859244  4180 solver.cpp:188] Iteration 24640, loss = 0.922972
I0316 06:54:14.859375  4180 solver.cpp:203]     Train net output #0: loss = 0.922972 (* 1 = 0.922972 loss)
I0316 06:54:14.859385  4180 solver.cpp:449] Iteration 24640, lr = 0.0005
I0316 06:55:52.468395  4180 solver.cpp:188] Iteration 24680, loss = 0.958863
I0316 06:55:52.468513  4180 solver.cpp:203]     Train net output #0: loss = 0.958863 (* 1 = 0.958863 loss)
I0316 06:55:52.468523  4180 solver.cpp:449] Iteration 24680, lr = 0.0005
I0316 06:57:28.486573  4180 solver.cpp:188] Iteration 24720, loss = 0.984604
I0316 06:57:28.486711  4180 solver.cpp:203]     Train net output #0: loss = 0.984604 (* 1 = 0.984604 loss)
I0316 06:57:28.486722  4180 solver.cpp:449] Iteration 24720, lr = 0.0005
I0316 06:59:04.554250  4180 solver.cpp:188] Iteration 24760, loss = 1.08799
I0316 06:59:04.554322  4180 solver.cpp:203]     Train net output #0: loss = 1.08799 (* 1 = 1.08799 loss)
I0316 06:59:04.554332  4180 solver.cpp:449] Iteration 24760, lr = 0.0005
I0316 07:00:40.878667  4180 solver.cpp:188] Iteration 24800, loss = 0.916215
I0316 07:00:40.878831  4180 solver.cpp:203]     Train net output #0: loss = 0.916215 (* 1 = 0.916215 loss)
I0316 07:00:40.878842  4180 solver.cpp:449] Iteration 24800, lr = 0.0005
I0316 07:02:16.139250  4180 solver.cpp:188] Iteration 24840, loss = 1.02703
I0316 07:02:16.139364  4180 solver.cpp:203]     Train net output #0: loss = 1.02703 (* 1 = 1.02703 loss)
I0316 07:02:16.139386  4180 solver.cpp:449] Iteration 24840, lr = 0.0005
I0316 07:03:53.359077  4180 solver.cpp:188] Iteration 24880, loss = 0.959011
I0316 07:03:53.359200  4180 solver.cpp:203]     Train net output #0: loss = 0.959011 (* 1 = 0.959011 loss)
I0316 07:03:53.359211  4180 solver.cpp:449] Iteration 24880, lr = 0.0005
I0316 07:05:29.032289  4180 solver.cpp:188] Iteration 24920, loss = 0.855147
I0316 07:05:29.032419  4180 solver.cpp:203]     Train net output #0: loss = 0.855147 (* 1 = 0.855147 loss)
I0316 07:05:29.032429  4180 solver.cpp:449] Iteration 24920, lr = 0.0005
I0316 07:07:04.143219  4180 solver.cpp:188] Iteration 24960, loss = 0.906828
I0316 07:07:04.143337  4180 solver.cpp:203]     Train net output #0: loss = 0.906828 (* 1 = 0.906828 loss)
I0316 07:07:04.143352  4180 solver.cpp:449] Iteration 24960, lr = 0.0005
I0316 07:08:39.670006  4180 solver.cpp:337] Snapshotting to cache/flic/flic_iter_25000.caffemodel
I0316 07:08:40.630676  4180 solver.cpp:345] Snapshotting solver state to cache/flic/flic_iter_25000.solverstate
I0316 07:08:41.038991  4180 solver.cpp:266] Iteration 25000, Testing net (#0)
I0316 07:09:27.290722  4180 solver.cpp:317]     Test net output #0: accuracy = 0.662611
I0316 07:09:27.290824  4180 solver.cpp:317]     Test net output #1: loss = 1.036 (* 1 = 1.036 loss)
I0316 07:09:27.404155  4180 solver.cpp:188] Iteration 25000, loss = 0.834796
I0316 07:09:27.404198  4180 solver.cpp:203]     Train net output #0: loss = 0.834796 (* 1 = 0.834796 loss)
I0316 07:09:27.404207  4180 solver.cpp:449] Iteration 25000, lr = 0.0005
I0316 07:11:12.678135  4180 solver.cpp:188] Iteration 25040, loss = 0.864647
I0316 07:11:12.678252  4180 solver.cpp:203]     Train net output #0: loss = 0.864647 (* 1 = 0.864647 loss)
I0316 07:11:12.678263  4180 solver.cpp:449] Iteration 25040, lr = 0.0005
I0316 07:12:58.350106  4180 solver.cpp:188] Iteration 25080, loss = 1.01682
I0316 07:12:58.350225  4180 solver.cpp:203]     Train net output #0: loss = 1.01682 (* 1 = 1.01682 loss)
I0316 07:12:58.350235  4180 solver.cpp:449] Iteration 25080, lr = 0.0005
I0316 07:14:43.970970  4180 solver.cpp:188] Iteration 25120, loss = 0.925739
I0316 07:14:43.971081  4180 solver.cpp:203]     Train net output #0: loss = 0.925739 (* 1 = 0.925739 loss)
I0316 07:14:43.971092  4180 solver.cpp:449] Iteration 25120, lr = 0.0005
I0316 07:16:29.303807  4180 solver.cpp:188] Iteration 25160, loss = 0.972879
I0316 07:16:29.303932  4180 solver.cpp:203]     Train net output #0: loss = 0.972879 (* 1 = 0.972879 loss)
I0316 07:16:29.303943  4180 solver.cpp:449] Iteration 25160, lr = 0.0005
I0316 07:18:13.873536  4180 solver.cpp:188] Iteration 25200, loss = 1.05591
I0316 07:18:13.873796  4180 solver.cpp:203]     Train net output #0: loss = 1.05591 (* 1 = 1.05591 loss)
I0316 07:18:13.873818  4180 solver.cpp:449] Iteration 25200, lr = 0.0005
I0316 07:19:59.846380  4180 solver.cpp:188] Iteration 25240, loss = 0.948455
I0316 07:19:59.846565  4180 solver.cpp:203]     Train net output #0: loss = 0.948455 (* 1 = 0.948455 loss)
I0316 07:19:59.846590  4180 solver.cpp:449] Iteration 25240, lr = 0.0005
I0316 07:21:46.450634  4180 solver.cpp:188] Iteration 25280, loss = 0.95222
I0316 07:21:46.450753  4180 solver.cpp:203]     Train net output #0: loss = 0.95222 (* 1 = 0.95222 loss)
I0316 07:21:46.450773  4180 solver.cpp:449] Iteration 25280, lr = 0.0005
I0316 07:23:32.296380  4180 solver.cpp:188] Iteration 25320, loss = 0.905959
I0316 07:23:32.296501  4180 solver.cpp:203]     Train net output #0: loss = 0.905959 (* 1 = 0.905959 loss)
I0316 07:23:32.296512  4180 solver.cpp:449] Iteration 25320, lr = 0.0005
I0316 07:25:18.367843  4180 solver.cpp:188] Iteration 25360, loss = 0.992765
I0316 07:25:18.367985  4180 solver.cpp:203]     Train net output #0: loss = 0.992765 (* 1 = 0.992765 loss)
I0316 07:25:18.367995  4180 solver.cpp:449] Iteration 25360, lr = 0.0005
I0316 07:27:03.983556  4180 solver.cpp:188] Iteration 25400, loss = 0.9534
I0316 07:27:03.983690  4180 solver.cpp:203]     Train net output #0: loss = 0.9534 (* 1 = 0.9534 loss)
I0316 07:27:03.983700  4180 solver.cpp:449] Iteration 25400, lr = 0.0005
I0316 07:28:50.895058  4180 solver.cpp:188] Iteration 25440, loss = 0.935884
I0316 07:28:50.895176  4180 solver.cpp:203]     Train net output #0: loss = 0.935884 (* 1 = 0.935884 loss)
I0316 07:28:50.895196  4180 solver.cpp:449] Iteration 25440, lr = 0.0005
I0316 07:30:38.437711  4180 solver.cpp:188] Iteration 25480, loss = 1.03886
I0316 07:30:38.437820  4180 solver.cpp:203]     Train net output #0: loss = 1.03886 (* 1 = 1.03886 loss)
I0316 07:30:38.437842  4180 solver.cpp:449] Iteration 25480, lr = 0.0005
I0316 07:32:24.252153  4180 solver.cpp:188] Iteration 25520, loss = 0.919652
I0316 07:32:24.252281  4180 solver.cpp:203]     Train net output #0: loss = 0.919652 (* 1 = 0.919652 loss)
I0316 07:32:24.252296  4180 solver.cpp:449] Iteration 25520, lr = 0.0005
I0316 07:34:10.376232  4180 solver.cpp:188] Iteration 25560, loss = 1.04968
I0316 07:34:10.376358  4180 solver.cpp:203]     Train net output #0: loss = 1.04968 (* 1 = 1.04968 loss)
I0316 07:34:10.376379  4180 solver.cpp:449] Iteration 25560, lr = 0.0005
I0316 07:35:53.237573  4180 solver.cpp:188] Iteration 25600, loss = 0.968374
I0316 07:35:53.237656  4180 solver.cpp:203]     Train net output #0: loss = 0.968374 (* 1 = 0.968374 loss)
I0316 07:35:53.237668  4180 solver.cpp:449] Iteration 25600, lr = 0.0005
I0316 07:37:04.717044  4180 solver.cpp:188] Iteration 25640, loss = 1.02003
I0316 07:37:04.717171  4180 solver.cpp:203]     Train net output #0: loss = 1.02003 (* 1 = 1.02003 loss)
I0316 07:37:04.717182  4180 solver.cpp:449] Iteration 25640, lr = 0.0005
I0316 07:38:37.083046  4180 solver.cpp:188] Iteration 25680, loss = 0.995889
I0316 07:38:37.083153  4180 solver.cpp:203]     Train net output #0: loss = 0.995889 (* 1 = 0.995889 loss)
I0316 07:38:37.083170  4180 solver.cpp:449] Iteration 25680, lr = 0.0005
I0316 07:40:15.440340  4180 solver.cpp:188] Iteration 25720, loss = 1.08098
I0316 07:40:15.440481  4180 solver.cpp:203]     Train net output #0: loss = 1.08098 (* 1 = 1.08098 loss)
I0316 07:40:15.440491  4180 solver.cpp:449] Iteration 25720, lr = 0.0005
I0316 07:41:51.723179  4180 solver.cpp:188] Iteration 25760, loss = 1.04814
I0316 07:41:51.723304  4180 solver.cpp:203]     Train net output #0: loss = 1.04814 (* 1 = 1.04814 loss)
I0316 07:41:51.723325  4180 solver.cpp:449] Iteration 25760, lr = 0.0005
I0316 07:43:28.685349  4180 solver.cpp:188] Iteration 25800, loss = 0.840654
I0316 07:43:28.685469  4180 solver.cpp:203]     Train net output #0: loss = 0.840654 (* 1 = 0.840654 loss)
I0316 07:43:28.685490  4180 solver.cpp:449] Iteration 25800, lr = 0.0005
I0316 07:45:06.058648  4180 solver.cpp:188] Iteration 25840, loss = 0.950447
I0316 07:45:06.058768  4180 solver.cpp:203]     Train net output #0: loss = 0.950447 (* 1 = 0.950447 loss)
I0316 07:45:06.058779  4180 solver.cpp:449] Iteration 25840, lr = 0.0005
I0316 07:46:43.269882  4180 solver.cpp:188] Iteration 25880, loss = 1.13909
I0316 07:46:43.270015  4180 solver.cpp:203]     Train net output #0: loss = 1.13909 (* 1 = 1.13909 loss)
I0316 07:46:43.270025  4180 solver.cpp:449] Iteration 25880, lr = 0.0005
I0316 07:48:19.861615  4180 solver.cpp:188] Iteration 25920, loss = 1.00679
I0316 07:48:19.861742  4180 solver.cpp:203]     Train net output #0: loss = 1.00679 (* 1 = 1.00679 loss)
I0316 07:48:19.861752  4180 solver.cpp:449] Iteration 25920, lr = 0.0005
I0316 07:49:58.131115  4180 solver.cpp:188] Iteration 25960, loss = 1.05214
I0316 07:49:58.131228  4180 solver.cpp:203]     Train net output #0: loss = 1.05214 (* 1 = 1.05214 loss)
I0316 07:49:58.131248  4180 solver.cpp:449] Iteration 25960, lr = 0.0005
I0316 07:51:36.646822  4180 solver.cpp:188] Iteration 26000, loss = 1.03077
I0316 07:51:36.646970  4180 solver.cpp:203]     Train net output #0: loss = 1.03077 (* 1 = 1.03077 loss)
I0316 07:51:36.646981  4180 solver.cpp:449] Iteration 26000, lr = 0.0005
I0316 07:53:16.404332  4180 solver.cpp:188] Iteration 26040, loss = 0.985222
I0316 07:53:16.404414  4180 solver.cpp:203]     Train net output #0: loss = 0.985222 (* 1 = 0.985222 loss)
I0316 07:53:16.404425  4180 solver.cpp:449] Iteration 26040, lr = 0.0005
I0316 07:55:00.926851  4180 solver.cpp:188] Iteration 26080, loss = 0.904062
I0316 07:55:00.926978  4180 solver.cpp:203]     Train net output #0: loss = 0.904062 (* 1 = 0.904062 loss)
I0316 07:55:00.926990  4180 solver.cpp:449] Iteration 26080, lr = 0.0005
I0316 07:56:44.356778  4180 solver.cpp:188] Iteration 26120, loss = 0.851295
I0316 07:56:44.356890  4180 solver.cpp:203]     Train net output #0: loss = 0.851295 (* 1 = 0.851295 loss)
I0316 07:56:44.356900  4180 solver.cpp:449] Iteration 26120, lr = 0.0005
I0316 07:58:29.142235  4180 solver.cpp:188] Iteration 26160, loss = 0.976322
I0316 07:58:29.142381  4180 solver.cpp:203]     Train net output #0: loss = 0.976322 (* 1 = 0.976322 loss)
I0316 07:58:29.142392  4180 solver.cpp:449] Iteration 26160, lr = 0.0005
I0316 08:00:14.361351  4180 solver.cpp:188] Iteration 26200, loss = 0.962844
I0316 08:00:14.361482  4180 solver.cpp:203]     Train net output #0: loss = 0.962844 (* 1 = 0.962844 loss)
I0316 08:00:14.361493  4180 solver.cpp:449] Iteration 26200, lr = 0.0005
I0316 08:02:00.007259  4180 solver.cpp:188] Iteration 26240, loss = 0.972305
I0316 08:02:00.007391  4180 solver.cpp:203]     Train net output #0: loss = 0.972305 (* 1 = 0.972305 loss)
I0316 08:02:00.007402  4180 solver.cpp:449] Iteration 26240, lr = 0.0005
I0316 08:03:42.075466  4180 solver.cpp:188] Iteration 26280, loss = 0.899214
I0316 08:03:42.075584  4180 solver.cpp:203]     Train net output #0: loss = 0.899214 (* 1 = 0.899214 loss)
I0316 08:03:42.075605  4180 solver.cpp:449] Iteration 26280, lr = 0.0005
I0316 08:05:23.291892  4180 solver.cpp:188] Iteration 26320, loss = 0.893663
I0316 08:05:23.291992  4180 solver.cpp:203]     Train net output #0: loss = 0.893663 (* 1 = 0.893663 loss)
I0316 08:05:23.292003  4180 solver.cpp:449] Iteration 26320, lr = 0.0005
I0316 08:07:04.511940  4180 solver.cpp:188] Iteration 26360, loss = 0.866815
I0316 08:07:04.512073  4180 solver.cpp:203]     Train net output #0: loss = 0.866815 (* 1 = 0.866815 loss)
I0316 08:07:04.512084  4180 solver.cpp:449] Iteration 26360, lr = 0.0005
I0316 08:08:45.382839  4180 solver.cpp:188] Iteration 26400, loss = 0.9626
I0316 08:08:45.382969  4180 solver.cpp:203]     Train net output #0: loss = 0.9626 (* 1 = 0.9626 loss)
I0316 08:08:45.382980  4180 solver.cpp:449] Iteration 26400, lr = 0.0005
I0316 08:10:26.170508  4180 solver.cpp:188] Iteration 26440, loss = 1.02057
I0316 08:10:26.170629  4180 solver.cpp:203]     Train net output #0: loss = 1.02057 (* 1 = 1.02057 loss)
I0316 08:10:26.170650  4180 solver.cpp:449] Iteration 26440, lr = 0.0005
I0316 08:12:07.042291  4180 solver.cpp:188] Iteration 26480, loss = 1.04885
I0316 08:12:07.042395  4180 solver.cpp:203]     Train net output #0: loss = 1.04885 (* 1 = 1.04885 loss)
I0316 08:12:07.042418  4180 solver.cpp:449] Iteration 26480, lr = 0.0005
I0316 08:13:48.122202  4180 solver.cpp:188] Iteration 26520, loss = 0.928091
I0316 08:13:48.122328  4180 solver.cpp:203]     Train net output #0: loss = 0.928091 (* 1 = 0.928091 loss)
I0316 08:13:48.122339  4180 solver.cpp:449] Iteration 26520, lr = 0.0005
I0316 08:15:29.469846  4180 solver.cpp:188] Iteration 26560, loss = 0.965937
I0316 08:15:29.469965  4180 solver.cpp:203]     Train net output #0: loss = 0.965937 (* 1 = 0.965937 loss)
I0316 08:15:29.469990  4180 solver.cpp:449] Iteration 26560, lr = 0.0005
I0316 08:17:10.547132  4180 solver.cpp:188] Iteration 26600, loss = 0.862256
I0316 08:17:10.547248  4180 solver.cpp:203]     Train net output #0: loss = 0.862256 (* 1 = 0.862256 loss)
I0316 08:17:10.547260  4180 solver.cpp:449] Iteration 26600, lr = 0.0005
I0316 08:18:51.101742  4180 solver.cpp:188] Iteration 26640, loss = 0.849817
I0316 08:18:51.101887  4180 solver.cpp:203]     Train net output #0: loss = 0.849817 (* 1 = 0.849817 loss)
I0316 08:18:51.101907  4180 solver.cpp:449] Iteration 26640, lr = 0.0005
I0316 08:20:31.645350  4180 solver.cpp:188] Iteration 26680, loss = 1.09272
I0316 08:20:31.645485  4180 solver.cpp:203]     Train net output #0: loss = 1.09272 (* 1 = 1.09272 loss)
I0316 08:20:31.645498  4180 solver.cpp:449] Iteration 26680, lr = 0.0005
I0316 08:22:09.403724  4180 solver.cpp:188] Iteration 26720, loss = 0.899067
I0316 08:22:09.403838  4180 solver.cpp:203]     Train net output #0: loss = 0.899067 (* 1 = 0.899067 loss)
I0316 08:22:09.403853  4180 solver.cpp:449] Iteration 26720, lr = 0.0005
I0316 08:23:45.679229  4180 solver.cpp:188] Iteration 26760, loss = 1.03543
I0316 08:23:45.679342  4180 solver.cpp:203]     Train net output #0: loss = 1.03543 (* 1 = 1.03543 loss)
I0316 08:23:45.679361  4180 solver.cpp:449] Iteration 26760, lr = 0.0005
I0316 08:25:21.952502  4180 solver.cpp:188] Iteration 26800, loss = 0.943124
I0316 08:25:21.952651  4180 solver.cpp:203]     Train net output #0: loss = 0.943124 (* 1 = 0.943124 loss)
I0316 08:25:21.952661  4180 solver.cpp:449] Iteration 26800, lr = 0.0005
I0316 08:26:57.966840  4180 solver.cpp:188] Iteration 26840, loss = 0.946277
I0316 08:26:57.966965  4180 solver.cpp:203]     Train net output #0: loss = 0.946277 (* 1 = 0.946277 loss)
I0316 08:26:57.966976  4180 solver.cpp:449] Iteration 26840, lr = 0.0005
I0316 08:28:34.739650  4180 solver.cpp:188] Iteration 26880, loss = 0.991483
I0316 08:28:34.739758  4180 solver.cpp:203]     Train net output #0: loss = 0.991483 (* 1 = 0.991483 loss)
I0316 08:28:34.739768  4180 solver.cpp:449] Iteration 26880, lr = 0.0005
I0316 08:30:10.574805  4180 solver.cpp:188] Iteration 26920, loss = 0.989911
I0316 08:30:10.574918  4180 solver.cpp:203]     Train net output #0: loss = 0.989911 (* 1 = 0.989911 loss)
I0316 08:30:10.574937  4180 solver.cpp:449] Iteration 26920, lr = 0.0005
I0316 08:31:48.699733  4180 solver.cpp:188] Iteration 26960, loss = 1.03551
I0316 08:31:48.699877  4180 solver.cpp:203]     Train net output #0: loss = 1.03551 (* 1 = 1.03551 loss)
I0316 08:31:48.699887  4180 solver.cpp:449] Iteration 26960, lr = 0.0005
I0316 08:33:25.449777  4180 solver.cpp:188] Iteration 27000, loss = 0.951108
I0316 08:33:25.449895  4180 solver.cpp:203]     Train net output #0: loss = 0.951108 (* 1 = 0.951108 loss)
I0316 08:33:25.449906  4180 solver.cpp:449] Iteration 27000, lr = 0.0005
I0316 08:35:03.666347  4180 solver.cpp:188] Iteration 27040, loss = 0.993108
I0316 08:35:03.666522  4180 solver.cpp:203]     Train net output #0: loss = 0.993108 (* 1 = 0.993108 loss)
I0316 08:35:03.666535  4180 solver.cpp:449] Iteration 27040, lr = 0.0005
I0316 08:36:40.788300  4180 solver.cpp:188] Iteration 27080, loss = 0.877317
I0316 08:36:40.788439  4180 solver.cpp:203]     Train net output #0: loss = 0.877317 (* 1 = 0.877317 loss)
I0316 08:36:40.788450  4180 solver.cpp:449] Iteration 27080, lr = 0.0005
I0316 08:38:18.039639  4180 solver.cpp:188] Iteration 27120, loss = 0.869766
I0316 08:38:18.039762  4180 solver.cpp:203]     Train net output #0: loss = 0.869766 (* 1 = 0.869766 loss)
I0316 08:38:18.039772  4180 solver.cpp:449] Iteration 27120, lr = 0.0005
I0316 08:39:56.098470  4180 solver.cpp:188] Iteration 27160, loss = 0.913394
I0316 08:39:56.098592  4180 solver.cpp:203]     Train net output #0: loss = 0.913394 (* 1 = 0.913394 loss)
I0316 08:39:56.098603  4180 solver.cpp:449] Iteration 27160, lr = 0.0005
I0316 08:41:32.169782  4180 solver.cpp:188] Iteration 27200, loss = 1.05873
I0316 08:41:32.169919  4180 solver.cpp:203]     Train net output #0: loss = 1.05873 (* 1 = 1.05873 loss)
I0316 08:41:32.169929  4180 solver.cpp:449] Iteration 27200, lr = 0.0005
I0316 08:43:11.278913  4180 solver.cpp:188] Iteration 27240, loss = 0.816206
I0316 08:43:11.279042  4180 solver.cpp:203]     Train net output #0: loss = 0.816206 (* 1 = 0.816206 loss)
I0316 08:43:11.279053  4180 solver.cpp:449] Iteration 27240, lr = 0.0005
I0316 08:44:49.595114  4180 solver.cpp:188] Iteration 27280, loss = 1.00148
I0316 08:44:49.595290  4180 solver.cpp:203]     Train net output #0: loss = 1.00148 (* 1 = 1.00148 loss)
I0316 08:44:49.595302  4180 solver.cpp:449] Iteration 27280, lr = 0.0005
I0316 08:46:27.829346  4180 solver.cpp:188] Iteration 27320, loss = 1.02693
I0316 08:46:27.829459  4180 solver.cpp:203]     Train net output #0: loss = 1.02693 (* 1 = 1.02693 loss)
I0316 08:46:27.829470  4180 solver.cpp:449] Iteration 27320, lr = 0.0005
I0316 08:48:07.137712  4180 solver.cpp:188] Iteration 27360, loss = 0.919659
I0316 08:48:07.137830  4180 solver.cpp:203]     Train net output #0: loss = 0.919659 (* 1 = 0.919659 loss)
I0316 08:48:07.137840  4180 solver.cpp:449] Iteration 27360, lr = 0.0005
I0316 08:49:45.230448  4180 solver.cpp:188] Iteration 27400, loss = 0.94318
I0316 08:49:45.230576  4180 solver.cpp:203]     Train net output #0: loss = 0.94318 (* 1 = 0.94318 loss)
I0316 08:49:45.230587  4180 solver.cpp:449] Iteration 27400, lr = 0.0005
I0316 08:51:24.237901  4180 solver.cpp:188] Iteration 27440, loss = 0.962634
I0316 08:51:24.237977  4180 solver.cpp:203]     Train net output #0: loss = 0.962634 (* 1 = 0.962634 loss)
I0316 08:51:24.237988  4180 solver.cpp:449] Iteration 27440, lr = 0.0005
I0316 08:53:04.699079  4180 solver.cpp:188] Iteration 27480, loss = 0.995291
I0316 08:53:04.699210  4180 solver.cpp:203]     Train net output #0: loss = 0.995291 (* 1 = 0.995291 loss)
I0316 08:53:04.699231  4180 solver.cpp:449] Iteration 27480, lr = 0.0005
I0316 08:54:43.271472  4180 solver.cpp:188] Iteration 27520, loss = 0.928534
I0316 08:54:43.271602  4180 solver.cpp:203]     Train net output #0: loss = 0.928534 (* 1 = 0.928534 loss)
I0316 08:54:43.271613  4180 solver.cpp:449] Iteration 27520, lr = 0.0005
I0316 08:56:24.322535  4180 solver.cpp:188] Iteration 27560, loss = 0.951876
I0316 08:56:24.322667  4180 solver.cpp:203]     Train net output #0: loss = 0.951876 (* 1 = 0.951876 loss)
I0316 08:56:24.322688  4180 solver.cpp:449] Iteration 27560, lr = 0.0005
I0316 08:58:02.609345  4180 solver.cpp:188] Iteration 27600, loss = 0.939816
I0316 08:58:02.609542  4180 solver.cpp:203]     Train net output #0: loss = 0.939816 (* 1 = 0.939816 loss)
I0316 08:58:02.609555  4180 solver.cpp:449] Iteration 27600, lr = 0.0005
I0316 08:59:40.581440  4180 solver.cpp:188] Iteration 27640, loss = 0.91245
I0316 08:59:40.581550  4180 solver.cpp:203]     Train net output #0: loss = 0.91245 (* 1 = 0.91245 loss)
I0316 08:59:40.581560  4180 solver.cpp:449] Iteration 27640, lr = 0.0005
I0316 09:01:19.677361  4180 solver.cpp:188] Iteration 27680, loss = 0.859917
I0316 09:01:19.677467  4180 solver.cpp:203]     Train net output #0: loss = 0.859917 (* 1 = 0.859917 loss)
I0316 09:01:19.677479  4180 solver.cpp:449] Iteration 27680, lr = 0.0005
I0316 09:02:57.114998  4180 solver.cpp:188] Iteration 27720, loss = 0.940262
I0316 09:02:57.115125  4180 solver.cpp:203]     Train net output #0: loss = 0.940262 (* 1 = 0.940262 loss)
I0316 09:02:57.115136  4180 solver.cpp:449] Iteration 27720, lr = 0.0005
I0316 09:04:35.143728  4180 solver.cpp:188] Iteration 27760, loss = 0.982846
I0316 09:04:35.143844  4180 solver.cpp:203]     Train net output #0: loss = 0.982846 (* 1 = 0.982846 loss)
I0316 09:04:35.143856  4180 solver.cpp:449] Iteration 27760, lr = 0.0005
I0316 09:06:13.396021  4180 solver.cpp:188] Iteration 27800, loss = 0.936276
I0316 09:06:13.396134  4180 solver.cpp:203]     Train net output #0: loss = 0.936276 (* 1 = 0.936276 loss)
I0316 09:06:13.396144  4180 solver.cpp:449] Iteration 27800, lr = 0.0005
I0316 09:07:51.642837  4180 solver.cpp:188] Iteration 27840, loss = 0.823239
I0316 09:07:51.642956  4180 solver.cpp:203]     Train net output #0: loss = 0.823239 (* 1 = 0.823239 loss)
I0316 09:07:51.642966  4180 solver.cpp:449] Iteration 27840, lr = 0.0005
I0316 09:09:29.847664  4180 solver.cpp:188] Iteration 27880, loss = 0.968738
I0316 09:09:29.847792  4180 solver.cpp:203]     Train net output #0: loss = 0.968738 (* 1 = 0.968738 loss)
I0316 09:09:29.847813  4180 solver.cpp:449] Iteration 27880, lr = 0.0005
I0316 09:11:22.453937  4180 solver.cpp:188] Iteration 27920, loss = 0.836233
I0316 09:11:22.454077  4180 solver.cpp:203]     Train net output #0: loss = 0.836233 (* 1 = 0.836233 loss)
I0316 09:11:22.454088  4180 solver.cpp:449] Iteration 27920, lr = 0.0005
I0316 09:14:52.707008  4180 solver.cpp:188] Iteration 27960, loss = 0.951123
I0316 09:14:52.707165  4180 solver.cpp:203]     Train net output #0: loss = 0.951123 (* 1 = 0.951123 loss)
I0316 09:14:52.707176  4180 solver.cpp:449] Iteration 27960, lr = 0.0005
I0316 09:18:46.882577  4180 solver.cpp:188] Iteration 28000, loss = 0.766087
I0316 09:18:46.882704  4180 solver.cpp:203]     Train net output #0: loss = 0.766087 (* 1 = 0.766087 loss)
I0316 09:18:46.882721  4180 solver.cpp:449] Iteration 28000, lr = 0.0005
I0316 09:23:04.295130  4180 solver.cpp:188] Iteration 28040, loss = 0.889572
I0316 09:23:04.295269  4180 solver.cpp:203]     Train net output #0: loss = 0.889572 (* 1 = 0.889572 loss)
I0316 09:23:04.295281  4180 solver.cpp:449] Iteration 28040, lr = 0.0005
I0316 09:27:57.888419  4180 solver.cpp:188] Iteration 28080, loss = 1.0213
I0316 09:27:57.888525  4180 solver.cpp:203]     Train net output #0: loss = 1.0213 (* 1 = 1.0213 loss)
I0316 09:27:57.888545  4180 solver.cpp:449] Iteration 28080, lr = 0.0005
I0316 09:33:14.916432  4180 solver.cpp:188] Iteration 28120, loss = 0.823439
I0316 09:33:14.916564  4180 solver.cpp:203]     Train net output #0: loss = 0.823439 (* 1 = 0.823439 loss)
I0316 09:33:14.916575  4180 solver.cpp:449] Iteration 28120, lr = 0.0005
I0316 09:38:47.397706  4180 solver.cpp:188] Iteration 28160, loss = 0.802291
I0316 09:38:47.397882  4180 solver.cpp:203]     Train net output #0: loss = 0.802291 (* 1 = 0.802291 loss)
I0316 09:38:47.397896  4180 solver.cpp:449] Iteration 28160, lr = 0.0005
I0316 09:44:18.648833  4180 solver.cpp:188] Iteration 28200, loss = 0.829565
I0316 09:44:18.648948  4180 solver.cpp:203]     Train net output #0: loss = 0.829565 (* 1 = 0.829565 loss)
I0316 09:44:18.648970  4180 solver.cpp:449] Iteration 28200, lr = 0.0005
I0316 09:49:44.812327  4180 solver.cpp:188] Iteration 28240, loss = 0.917806
I0316 09:49:44.812449  4180 solver.cpp:203]     Train net output #0: loss = 0.917806 (* 1 = 0.917806 loss)
I0316 09:49:44.812469  4180 solver.cpp:449] Iteration 28240, lr = 0.0005
I0316 09:55:03.575816  4180 solver.cpp:188] Iteration 28280, loss = 0.851996
I0316 09:55:03.575968  4180 solver.cpp:203]     Train net output #0: loss = 0.851996 (* 1 = 0.851996 loss)
I0316 09:55:03.575978  4180 solver.cpp:449] Iteration 28280, lr = 0.0005
I0316 10:00:24.215766  4180 solver.cpp:188] Iteration 28320, loss = 0.843337
I0316 10:00:24.215893  4180 solver.cpp:203]     Train net output #0: loss = 0.843337 (* 1 = 0.843337 loss)
I0316 10:00:24.215903  4180 solver.cpp:449] Iteration 28320, lr = 0.0005
I0316 10:05:43.282346  4180 solver.cpp:188] Iteration 28360, loss = 0.867258
I0316 10:05:43.282428  4180 solver.cpp:203]     Train net output #0: loss = 0.867258 (* 1 = 0.867258 loss)
I0316 10:05:43.282443  4180 solver.cpp:449] Iteration 28360, lr = 0.0005
I0316 10:11:01.684614  4180 solver.cpp:188] Iteration 28400, loss = 0.724069
I0316 10:11:01.684725  4180 solver.cpp:203]     Train net output #0: loss = 0.724069 (* 1 = 0.724069 loss)
I0316 10:11:01.684736  4180 solver.cpp:449] Iteration 28400, lr = 0.0005
I0316 10:16:25.874696  4180 solver.cpp:188] Iteration 28440, loss = 0.770685
I0316 10:16:25.874820  4180 solver.cpp:203]     Train net output #0: loss = 0.770685 (* 1 = 0.770685 loss)
I0316 10:16:25.874845  4180 solver.cpp:449] Iteration 28440, lr = 0.0005
I0316 10:21:51.492846  4180 solver.cpp:188] Iteration 28480, loss = 0.818104
I0316 10:21:51.493031  4180 solver.cpp:203]     Train net output #0: loss = 0.818104 (* 1 = 0.818104 loss)
I0316 10:21:51.493051  4180 solver.cpp:449] Iteration 28480, lr = 0.0005
I0316 10:27:16.797194  4180 solver.cpp:188] Iteration 28520, loss = 0.820096
I0316 10:27:16.797305  4180 solver.cpp:203]     Train net output #0: loss = 0.820096 (* 1 = 0.820096 loss)
I0316 10:27:16.797325  4180 solver.cpp:449] Iteration 28520, lr = 0.0005
I0316 10:32:39.122985  4180 solver.cpp:188] Iteration 28560, loss = 0.698584
I0316 10:32:39.123131  4180 solver.cpp:203]     Train net output #0: loss = 0.698584 (* 1 = 0.698584 loss)
I0316 10:32:39.123142  4180 solver.cpp:449] Iteration 28560, lr = 0.0005
I0316 10:38:01.459040  4180 solver.cpp:188] Iteration 28600, loss = 0.835425
I0316 10:38:01.459215  4180 solver.cpp:203]     Train net output #0: loss = 0.835425 (* 1 = 0.835425 loss)
I0316 10:38:01.459228  4180 solver.cpp:449] Iteration 28600, lr = 0.0005
I0316 10:43:18.425642  4180 solver.cpp:188] Iteration 28640, loss = 0.826207
I0316 10:43:18.425755  4180 solver.cpp:203]     Train net output #0: loss = 0.826207 (* 1 = 0.826207 loss)
I0316 10:43:18.425765  4180 solver.cpp:449] Iteration 28640, lr = 0.0005
I0316 10:48:36.182765  4180 solver.cpp:188] Iteration 28680, loss = 0.732379
I0316 10:48:36.182870  4180 solver.cpp:203]     Train net output #0: loss = 0.732379 (* 1 = 0.732379 loss)
I0316 10:48:36.182893  4180 solver.cpp:449] Iteration 28680, lr = 0.0005
I0316 10:53:52.511405  4180 solver.cpp:188] Iteration 28720, loss = 0.715133
I0316 10:53:52.511517  4180 solver.cpp:203]     Train net output #0: loss = 0.715133 (* 1 = 0.715133 loss)
I0316 10:53:52.511536  4180 solver.cpp:449] Iteration 28720, lr = 0.0005
I0316 10:59:10.925717  4180 solver.cpp:188] Iteration 28760, loss = 0.794214
I0316 10:59:10.925835  4180 solver.cpp:203]     Train net output #0: loss = 0.794214 (* 1 = 0.794214 loss)
I0316 10:59:10.925855  4180 solver.cpp:449] Iteration 28760, lr = 0.0005
I0316 11:04:32.397702  4180 solver.cpp:188] Iteration 28800, loss = 0.784209
I0316 11:04:32.397826  4180 solver.cpp:203]     Train net output #0: loss = 0.784209 (* 1 = 0.784209 loss)
I0316 11:04:32.397837  4180 solver.cpp:449] Iteration 28800, lr = 0.0005
I0316 11:09:52.851033  4180 solver.cpp:188] Iteration 28840, loss = 0.980144
I0316 11:09:52.851155  4180 solver.cpp:203]     Train net output #0: loss = 0.980144 (* 1 = 0.980144 loss)
I0316 11:09:52.851166  4180 solver.cpp:449] Iteration 28840, lr = 0.0005
I0316 11:15:15.739876  4180 solver.cpp:188] Iteration 28880, loss = 0.826819
I0316 11:15:15.740000  4180 solver.cpp:203]     Train net output #0: loss = 0.826819 (* 1 = 0.826819 loss)
I0316 11:15:15.740015  4180 solver.cpp:449] Iteration 28880, lr = 0.0005
I0316 11:20:46.699605  4180 solver.cpp:188] Iteration 28920, loss = 0.950928
I0316 11:20:46.699738  4180 solver.cpp:203]     Train net output #0: loss = 0.950928 (* 1 = 0.950928 loss)
I0316 11:20:46.699748  4180 solver.cpp:449] Iteration 28920, lr = 0.0005
I0316 11:26:18.017339  4180 solver.cpp:188] Iteration 28960, loss = 1.03135
I0316 11:26:18.017458  4180 solver.cpp:203]     Train net output #0: loss = 1.03135 (* 1 = 1.03135 loss)
I0316 11:26:18.017469  4180 solver.cpp:449] Iteration 28960, lr = 0.0005
I0316 11:31:48.859256  4180 solver.cpp:188] Iteration 29000, loss = 1.00256
I0316 11:31:48.859385  4180 solver.cpp:203]     Train net output #0: loss = 1.00256 (* 1 = 1.00256 loss)
I0316 11:31:48.859401  4180 solver.cpp:449] Iteration 29000, lr = 0.0005
I0316 11:37:18.389112  4180 solver.cpp:188] Iteration 29040, loss = 0.914129
I0316 11:37:18.389240  4180 solver.cpp:203]     Train net output #0: loss = 0.914129 (* 1 = 0.914129 loss)
I0316 11:37:18.389261  4180 solver.cpp:449] Iteration 29040, lr = 0.0005
I0316 11:42:42.948151  4180 solver.cpp:188] Iteration 29080, loss = 0.889929
I0316 11:42:42.948266  4180 solver.cpp:203]     Train net output #0: loss = 0.889929 (* 1 = 0.889929 loss)
I0316 11:42:42.948287  4180 solver.cpp:449] Iteration 29080, lr = 0.0005
I0316 11:48:02.212138  4180 solver.cpp:188] Iteration 29120, loss = 0.969472
I0316 11:48:02.212254  4180 solver.cpp:203]     Train net output #0: loss = 0.969472 (* 1 = 0.969472 loss)
I0316 11:48:02.212263  4180 solver.cpp:449] Iteration 29120, lr = 0.0005
I0316 11:53:22.842823  4180 solver.cpp:188] Iteration 29160, loss = 0.896284
I0316 11:53:22.842952  4180 solver.cpp:203]     Train net output #0: loss = 0.896284 (* 1 = 0.896284 loss)
I0316 11:53:22.842962  4180 solver.cpp:449] Iteration 29160, lr = 0.0005
I0316 11:58:41.712520  4180 solver.cpp:188] Iteration 29200, loss = 0.908484
I0316 11:58:41.712674  4180 solver.cpp:203]     Train net output #0: loss = 0.908484 (* 1 = 0.908484 loss)
I0316 11:58:41.712695  4180 solver.cpp:449] Iteration 29200, lr = 0.0005
I0316 12:04:02.987568  4180 solver.cpp:188] Iteration 29240, loss = 0.883836
I0316 12:04:02.987697  4180 solver.cpp:203]     Train net output #0: loss = 0.883836 (* 1 = 0.883836 loss)
I0316 12:04:02.987718  4180 solver.cpp:449] Iteration 29240, lr = 0.0005
I0316 12:09:24.500260  4180 solver.cpp:188] Iteration 29280, loss = 0.910729
I0316 12:09:24.500385  4180 solver.cpp:203]     Train net output #0: loss = 0.910729 (* 1 = 0.910729 loss)
I0316 12:09:24.500396  4180 solver.cpp:449] Iteration 29280, lr = 0.0005
I0316 12:14:43.364907  4180 solver.cpp:188] Iteration 29320, loss = 0.883324
I0316 12:14:43.365027  4180 solver.cpp:203]     Train net output #0: loss = 0.883324 (* 1 = 0.883324 loss)
I0316 12:14:43.365047  4180 solver.cpp:449] Iteration 29320, lr = 0.0005
I0316 12:20:03.221343  4180 solver.cpp:188] Iteration 29360, loss = 0.927101
I0316 12:20:03.221470  4180 solver.cpp:203]     Train net output #0: loss = 0.927101 (* 1 = 0.927101 loss)
I0316 12:20:03.221492  4180 solver.cpp:449] Iteration 29360, lr = 0.0005
I0316 12:25:30.324120  4180 solver.cpp:188] Iteration 29400, loss = 0.893319
I0316 12:25:30.324262  4180 solver.cpp:203]     Train net output #0: loss = 0.893319 (* 1 = 0.893319 loss)
I0316 12:25:30.324273  4180 solver.cpp:449] Iteration 29400, lr = 0.0005
I0316 12:30:57.006381  4180 solver.cpp:188] Iteration 29440, loss = 0.852397
I0316 12:30:57.006511  4180 solver.cpp:203]     Train net output #0: loss = 0.852397 (* 1 = 0.852397 loss)
I0316 12:30:57.006522  4180 solver.cpp:449] Iteration 29440, lr = 0.0005
I0316 12:36:23.305019  4180 solver.cpp:188] Iteration 29480, loss = 0.839034
I0316 12:36:23.305145  4180 solver.cpp:203]     Train net output #0: loss = 0.839034 (* 1 = 0.839034 loss)
I0316 12:36:23.305165  4180 solver.cpp:449] Iteration 29480, lr = 0.0005
I0316 12:41:49.585613  4180 solver.cpp:188] Iteration 29520, loss = 0.915628
I0316 12:41:49.585736  4180 solver.cpp:203]     Train net output #0: loss = 0.915628 (* 1 = 0.915628 loss)
I0316 12:41:49.585747  4180 solver.cpp:449] Iteration 29520, lr = 0.0005
I0316 12:47:11.467262  4180 solver.cpp:188] Iteration 29560, loss = 0.865699
I0316 12:47:11.467392  4180 solver.cpp:203]     Train net output #0: loss = 0.865699 (* 1 = 0.865699 loss)
I0316 12:47:11.467404  4180 solver.cpp:449] Iteration 29560, lr = 0.0005
I0316 12:52:28.862778  4180 solver.cpp:188] Iteration 29600, loss = 0.89265
I0316 12:52:28.862905  4180 solver.cpp:203]     Train net output #0: loss = 0.89265 (* 1 = 0.89265 loss)
I0316 12:52:28.862916  4180 solver.cpp:449] Iteration 29600, lr = 0.0005
I0316 12:57:49.129690  4180 solver.cpp:188] Iteration 29640, loss = 0.959493
I0316 12:57:49.129814  4180 solver.cpp:203]     Train net output #0: loss = 0.959493 (* 1 = 0.959493 loss)
I0316 12:57:49.129825  4180 solver.cpp:449] Iteration 29640, lr = 0.0005
I0316 13:03:08.843422  4180 solver.cpp:188] Iteration 29680, loss = 0.863795
I0316 13:03:08.843616  4180 solver.cpp:203]     Train net output #0: loss = 0.863795 (* 1 = 0.863795 loss)
I0316 13:03:08.843628  4180 solver.cpp:449] Iteration 29680, lr = 0.0005
I0316 13:08:30.831982  4180 solver.cpp:188] Iteration 29720, loss = 0.938533
I0316 13:08:30.832113  4180 solver.cpp:203]     Train net output #0: loss = 0.938533 (* 1 = 0.938533 loss)
I0316 13:08:30.832124  4180 solver.cpp:449] Iteration 29720, lr = 0.0005
I0316 13:13:48.918061  4180 solver.cpp:188] Iteration 29760, loss = 0.835891
I0316 13:13:48.918242  4180 solver.cpp:203]     Train net output #0: loss = 0.835891 (* 1 = 0.835891 loss)
I0316 13:13:48.918256  4180 solver.cpp:449] Iteration 29760, lr = 0.0005
I0316 13:19:07.242143  4180 solver.cpp:188] Iteration 29800, loss = 0.883777
I0316 13:19:07.242233  4180 solver.cpp:203]     Train net output #0: loss = 0.883777 (* 1 = 0.883777 loss)
I0316 13:19:07.242244  4180 solver.cpp:449] Iteration 29800, lr = 0.0005
I0316 13:24:28.907070  4180 solver.cpp:188] Iteration 29840, loss = 0.89418
I0316 13:24:28.907219  4180 solver.cpp:203]     Train net output #0: loss = 0.89418 (* 1 = 0.89418 loss)
I0316 13:24:28.907230  4180 solver.cpp:449] Iteration 29840, lr = 0.0005
I0316 13:29:57.117450  4180 solver.cpp:188] Iteration 29880, loss = 0.887048
I0316 13:29:57.117563  4180 solver.cpp:203]     Train net output #0: loss = 0.887048 (* 1 = 0.887048 loss)
I0316 13:29:57.117584  4180 solver.cpp:449] Iteration 29880, lr = 0.0005
I0316 13:35:25.146356  4180 solver.cpp:188] Iteration 29920, loss = 0.876413
I0316 13:35:25.146481  4180 solver.cpp:203]     Train net output #0: loss = 0.876413 (* 1 = 0.876413 loss)
I0316 13:35:25.146492  4180 solver.cpp:449] Iteration 29920, lr = 0.0005
I0316 13:40:52.239001  4180 solver.cpp:188] Iteration 29960, loss = 0.852202
I0316 13:40:52.242673  4180 solver.cpp:203]     Train net output #0: loss = 0.852202 (* 1 = 0.852202 loss)
I0316 13:40:52.242686  4180 solver.cpp:449] Iteration 29960, lr = 0.0005
I0316 13:46:13.197095  4180 solver.cpp:337] Snapshotting to cache/flic/flic_iter_30000.caffemodel
I0316 13:46:14.344015  4180 solver.cpp:345] Snapshotting solver state to cache/flic/flic_iter_30000.solverstate
I0316 13:46:14.740538  4180 solver.cpp:266] Iteration 30000, Testing net (#0)
I0316 13:47:37.903169  4180 solver.cpp:317]     Test net output #0: accuracy = 0.673
I0316 13:47:37.903241  4180 solver.cpp:317]     Test net output #1: loss = 0.99567 (* 1 = 0.99567 loss)
I0316 13:47:38.017016  4180 solver.cpp:188] Iteration 30000, loss = 0.910109
I0316 13:47:38.017057  4180 solver.cpp:203]     Train net output #0: loss = 0.910109 (* 1 = 0.910109 loss)
I0316 13:47:38.017066  4180 solver.cpp:449] Iteration 30000, lr = 0.0005
I0316 13:53:02.532588  4180 solver.cpp:188] Iteration 30040, loss = 0.932069
I0316 13:53:02.532687  4180 solver.cpp:203]     Train net output #0: loss = 0.932069 (* 1 = 0.932069 loss)
I0316 13:53:02.532698  4180 solver.cpp:449] Iteration 30040, lr = 0.0005
I0316 13:57:28.764343  4180 solver.cpp:188] Iteration 30080, loss = 0.856634
I0316 13:57:28.764474  4180 solver.cpp:203]     Train net output #0: loss = 0.856634 (* 1 = 0.856634 loss)
I0316 13:57:28.764484  4180 solver.cpp:449] Iteration 30080, lr = 0.0005
I0316 14:02:59.074146  4180 solver.cpp:188] Iteration 30120, loss = 0.959388
I0316 14:02:59.074270  4180 solver.cpp:203]     Train net output #0: loss = 0.959388 (* 1 = 0.959388 loss)
I0316 14:02:59.074281  4180 solver.cpp:449] Iteration 30120, lr = 0.0005
I0316 14:08:27.231276  4180 solver.cpp:188] Iteration 30160, loss = 0.952619
I0316 14:08:27.231403  4180 solver.cpp:203]     Train net output #0: loss = 0.952619 (* 1 = 0.952619 loss)
I0316 14:08:27.231415  4180 solver.cpp:449] Iteration 30160, lr = 0.0005
I0316 14:13:47.615139  4180 solver.cpp:188] Iteration 30200, loss = 0.985457
I0316 14:13:47.615272  4180 solver.cpp:203]     Train net output #0: loss = 0.985457 (* 1 = 0.985457 loss)
I0316 14:13:47.615283  4180 solver.cpp:449] Iteration 30200, lr = 0.0005
I0316 14:19:10.099925  4180 solver.cpp:188] Iteration 30240, loss = 0.877691
I0316 14:19:10.100052  4180 solver.cpp:203]     Train net output #0: loss = 0.877691 (* 1 = 0.877691 loss)
I0316 14:19:10.100062  4180 solver.cpp:449] Iteration 30240, lr = 0.0005
I0316 14:24:31.710453  4180 solver.cpp:188] Iteration 30280, loss = 0.856134
I0316 14:24:31.710566  4180 solver.cpp:203]     Train net output #0: loss = 0.856134 (* 1 = 0.856134 loss)
I0316 14:24:31.710577  4180 solver.cpp:449] Iteration 30280, lr = 0.0005
I0316 14:29:52.133719  4180 solver.cpp:188] Iteration 30320, loss = 0.903322
I0316 14:29:52.133847  4180 solver.cpp:203]     Train net output #0: loss = 0.903322 (* 1 = 0.903322 loss)
I0316 14:29:52.133857  4180 solver.cpp:449] Iteration 30320, lr = 0.0005
I0316 14:35:23.357317  4180 solver.cpp:188] Iteration 30360, loss = 0.934342
I0316 14:35:23.357445  4180 solver.cpp:203]     Train net output #0: loss = 0.934342 (* 1 = 0.934342 loss)
I0316 14:35:23.357455  4180 solver.cpp:449] Iteration 30360, lr = 0.0005
I0316 14:40:47.748337  4180 solver.cpp:188] Iteration 30400, loss = 0.925565
I0316 14:40:47.748481  4180 solver.cpp:203]     Train net output #0: loss = 0.925565 (* 1 = 0.925565 loss)
I0316 14:40:47.748502  4180 solver.cpp:449] Iteration 30400, lr = 0.0005
I0316 14:46:09.083998  4180 solver.cpp:188] Iteration 30440, loss = 0.868854
I0316 14:46:09.084122  4180 solver.cpp:203]     Train net output #0: loss = 0.868854 (* 1 = 0.868854 loss)
I0316 14:46:09.084133  4180 solver.cpp:449] Iteration 30440, lr = 0.0005
I0316 14:51:35.389173  4180 solver.cpp:188] Iteration 30480, loss = 0.938065
I0316 14:51:35.389279  4180 solver.cpp:203]     Train net output #0: loss = 0.938065 (* 1 = 0.938065 loss)
I0316 14:51:35.389289  4180 solver.cpp:449] Iteration 30480, lr = 0.0005
I0316 14:56:57.345844  4180 solver.cpp:188] Iteration 30520, loss = 0.994089
I0316 14:56:57.345937  4180 solver.cpp:203]     Train net output #0: loss = 0.994089 (* 1 = 0.994089 loss)
I0316 14:56:57.345947  4180 solver.cpp:449] Iteration 30520, lr = 0.0005
I0316 15:02:16.897377  4180 solver.cpp:188] Iteration 30560, loss = 1.00242
I0316 15:02:16.897511  4180 solver.cpp:203]     Train net output #0: loss = 1.00242 (* 1 = 1.00242 loss)
I0316 15:02:16.897532  4180 solver.cpp:449] Iteration 30560, lr = 0.0005
I0316 15:07:39.329876  4180 solver.cpp:188] Iteration 30600, loss = 0.881944
I0316 15:07:39.330008  4180 solver.cpp:203]     Train net output #0: loss = 0.881944 (* 1 = 0.881944 loss)
I0316 15:07:39.330018  4180 solver.cpp:449] Iteration 30600, lr = 0.0005
I0316 15:12:59.976670  4180 solver.cpp:188] Iteration 30640, loss = 0.855642
I0316 15:12:59.976799  4180 solver.cpp:203]     Train net output #0: loss = 0.855642 (* 1 = 0.855642 loss)
I0316 15:12:59.976810  4180 solver.cpp:449] Iteration 30640, lr = 0.0005
I0316 15:18:21.852633  4180 solver.cpp:188] Iteration 30680, loss = 0.829441
I0316 15:18:21.852758  4180 solver.cpp:203]     Train net output #0: loss = 0.829441 (* 1 = 0.829441 loss)
I0316 15:18:21.852769  4180 solver.cpp:449] Iteration 30680, lr = 0.0005
I0316 15:23:40.399107  4180 solver.cpp:188] Iteration 30720, loss = 0.901042
I0316 15:23:40.399204  4180 solver.cpp:203]     Train net output #0: loss = 0.901042 (* 1 = 0.901042 loss)
I0316 15:23:40.399224  4180 solver.cpp:449] Iteration 30720, lr = 0.0005
I0316 15:29:00.303477  4180 solver.cpp:188] Iteration 30760, loss = 0.903377
I0316 15:29:00.303576  4180 solver.cpp:203]     Train net output #0: loss = 0.903377 (* 1 = 0.903377 loss)
I0316 15:29:00.303587  4180 solver.cpp:449] Iteration 30760, lr = 0.0005
I0316 15:34:18.046921  4180 solver.cpp:188] Iteration 30800, loss = 0.919424
I0316 15:34:18.047039  4180 solver.cpp:203]     Train net output #0: loss = 0.919424 (* 1 = 0.919424 loss)
I0316 15:34:18.047049  4180 solver.cpp:449] Iteration 30800, lr = 0.0005
I0316 15:39:43.806095  4180 solver.cpp:188] Iteration 30840, loss = 0.966968
I0316 15:39:43.806257  4180 solver.cpp:203]     Train net output #0: loss = 0.966968 (* 1 = 0.966968 loss)
I0316 15:39:43.806269  4180 solver.cpp:449] Iteration 30840, lr = 0.0005
I0316 15:45:08.334432  4180 solver.cpp:188] Iteration 30880, loss = 0.975016
I0316 15:45:08.334550  4180 solver.cpp:203]     Train net output #0: loss = 0.975016 (* 1 = 0.975016 loss)
I0316 15:45:08.334561  4180 solver.cpp:449] Iteration 30880, lr = 0.0005
I0316 15:50:34.924052  4180 solver.cpp:188] Iteration 30920, loss = 0.841462
I0316 15:50:34.924180  4180 solver.cpp:203]     Train net output #0: loss = 0.841462 (* 1 = 0.841462 loss)
I0316 15:50:34.924190  4180 solver.cpp:449] Iteration 30920, lr = 0.0005
I0316 15:56:00.161550  4180 solver.cpp:188] Iteration 30960, loss = 0.93876
I0316 15:56:00.161664  4180 solver.cpp:203]     Train net output #0: loss = 0.93876 (* 1 = 0.93876 loss)
I0316 15:56:00.161674  4180 solver.cpp:449] Iteration 30960, lr = 0.0005
I0316 16:01:25.250789  4180 solver.cpp:188] Iteration 31000, loss = 0.858024
I0316 16:01:25.250892  4180 solver.cpp:203]     Train net output #0: loss = 0.858024 (* 1 = 0.858024 loss)
I0316 16:01:25.250912  4180 solver.cpp:449] Iteration 31000, lr = 0.0005
I0316 16:06:43.182242  4180 solver.cpp:188] Iteration 31040, loss = 0.823668
I0316 16:06:43.182401  4180 solver.cpp:203]     Train net output #0: loss = 0.823668 (* 1 = 0.823668 loss)
I0316 16:06:43.182412  4180 solver.cpp:449] Iteration 31040, lr = 0.0005
I0316 16:12:03.355345  4180 solver.cpp:188] Iteration 31080, loss = 0.867014
I0316 16:12:03.355460  4180 solver.cpp:203]     Train net output #0: loss = 0.867014 (* 1 = 0.867014 loss)
I0316 16:12:03.355471  4180 solver.cpp:449] Iteration 31080, lr = 0.0005
I0316 16:17:21.166079  4180 solver.cpp:188] Iteration 31120, loss = 1.00046
I0316 16:17:21.166208  4180 solver.cpp:203]     Train net output #0: loss = 1.00046 (* 1 = 1.00046 loss)
I0316 16:17:21.166218  4180 solver.cpp:449] Iteration 31120, lr = 0.0005
I0316 16:22:42.768329  4180 solver.cpp:188] Iteration 31160, loss = 0.923346
I0316 16:22:42.768443  4180 solver.cpp:203]     Train net output #0: loss = 0.923346 (* 1 = 0.923346 loss)
I0316 16:22:42.768465  4180 solver.cpp:449] Iteration 31160, lr = 0.0005
I0316 16:28:02.438122  4180 solver.cpp:188] Iteration 31200, loss = 0.953096
I0316 16:28:02.438256  4180 solver.cpp:203]     Train net output #0: loss = 0.953096 (* 1 = 0.953096 loss)
I0316 16:28:02.438266  4180 solver.cpp:449] Iteration 31200, lr = 0.0005
I0316 16:33:21.093122  4180 solver.cpp:188] Iteration 31240, loss = 0.868037
I0316 16:33:21.093240  4180 solver.cpp:203]     Train net output #0: loss = 0.868037 (* 1 = 0.868037 loss)
I0316 16:33:21.093255  4180 solver.cpp:449] Iteration 31240, lr = 0.0005
I0316 16:38:43.365305  4180 solver.cpp:188] Iteration 31280, loss = 0.890041
I0316 16:38:43.365435  4180 solver.cpp:203]     Train net output #0: loss = 0.890041 (* 1 = 0.890041 loss)
I0316 16:38:43.365447  4180 solver.cpp:449] Iteration 31280, lr = 0.0005
I0316 16:44:10.643236  4180 solver.cpp:188] Iteration 31320, loss = 0.974898
I0316 16:44:10.643415  4180 solver.cpp:203]     Train net output #0: loss = 0.974898 (* 1 = 0.974898 loss)
I0316 16:44:10.643427  4180 solver.cpp:449] Iteration 31320, lr = 0.0005
I0316 16:49:39.863893  4180 solver.cpp:188] Iteration 31360, loss = 0.923854
I0316 16:49:39.864020  4180 solver.cpp:203]     Train net output #0: loss = 0.923854 (* 1 = 0.923854 loss)
I0316 16:49:39.864032  4180 solver.cpp:449] Iteration 31360, lr = 0.0005
I0316 16:55:06.018653  4180 solver.cpp:188] Iteration 31400, loss = 0.952105
I0316 16:55:06.018767  4180 solver.cpp:203]     Train net output #0: loss = 0.952105 (* 1 = 0.952105 loss)
I0316 16:55:06.018779  4180 solver.cpp:449] Iteration 31400, lr = 0.0005
I0316 17:00:33.766063  4180 solver.cpp:188] Iteration 31440, loss = 0.907407
I0316 17:00:33.766190  4180 solver.cpp:203]     Train net output #0: loss = 0.907407 (* 1 = 0.907407 loss)
I0316 17:00:33.766201  4180 solver.cpp:449] Iteration 31440, lr = 0.0005
I0316 17:05:59.703464  4180 solver.cpp:188] Iteration 31480, loss = 0.794663
I0316 17:05:59.703589  4180 solver.cpp:203]     Train net output #0: loss = 0.794663 (* 1 = 0.794663 loss)
I0316 17:05:59.703599  4180 solver.cpp:449] Iteration 31480, lr = 0.0005
I0316 17:11:18.193783  4180 solver.cpp:188] Iteration 31520, loss = 0.942933
I0316 17:11:18.193886  4180 solver.cpp:203]     Train net output #0: loss = 0.942933 (* 1 = 0.942933 loss)
I0316 17:11:18.193897  4180 solver.cpp:449] Iteration 31520, lr = 0.0005
I0316 17:16:39.474000  4180 solver.cpp:188] Iteration 31560, loss = 0.886082
I0316 17:16:39.474127  4180 solver.cpp:203]     Train net output #0: loss = 0.886082 (* 1 = 0.886082 loss)
I0316 17:16:39.474138  4180 solver.cpp:449] Iteration 31560, lr = 0.0005
I0316 17:22:01.886486  4180 solver.cpp:188] Iteration 31600, loss = 0.96424
I0316 17:22:01.886610  4180 solver.cpp:203]     Train net output #0: loss = 0.96424 (* 1 = 0.96424 loss)
I0316 17:22:01.886621  4180 solver.cpp:449] Iteration 31600, lr = 0.0005
I0316 17:27:22.634420  4180 solver.cpp:188] Iteration 31640, loss = 0.901117
I0316 17:27:22.634553  4180 solver.cpp:203]     Train net output #0: loss = 0.901117 (* 1 = 0.901117 loss)
I0316 17:27:22.634564  4180 solver.cpp:449] Iteration 31640, lr = 0.0005
I0316 17:32:45.439306  4180 solver.cpp:188] Iteration 31680, loss = 0.783616
I0316 17:32:45.439435  4180 solver.cpp:203]     Train net output #0: loss = 0.783616 (* 1 = 0.783616 loss)
I0316 17:32:45.439455  4180 solver.cpp:449] Iteration 31680, lr = 0.0005
I0316 17:38:11.383570  4180 solver.cpp:188] Iteration 31720, loss = 0.834403
I0316 17:38:11.383697  4180 solver.cpp:203]     Train net output #0: loss = 0.834403 (* 1 = 0.834403 loss)
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I0316 17:43:34.111196  4180 solver.cpp:188] Iteration 31760, loss = 0.893136
I0316 17:43:34.111322  4180 solver.cpp:203]     Train net output #0: loss = 0.893136 (* 1 = 0.893136 loss)
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I0316 17:49:07.170882  4180 solver.cpp:188] Iteration 31800, loss = 0.864311
I0316 17:49:07.171023  4180 solver.cpp:203]     Train net output #0: loss = 0.864311 (* 1 = 0.864311 loss)
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I0316 17:54:35.439813  4180 solver.cpp:188] Iteration 31840, loss = 0.896595
I0316 17:54:35.439936  4180 solver.cpp:203]     Train net output #0: loss = 0.896595 (* 1 = 0.896595 loss)
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I0316 18:00:09.501344  4180 solver.cpp:188] Iteration 31880, loss = 0.840475
I0316 18:00:09.501462  4180 solver.cpp:203]     Train net output #0: loss = 0.840475 (* 1 = 0.840475 loss)
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I0316 18:05:39.886958  4180 solver.cpp:188] Iteration 31920, loss = 0.850093
I0316 18:05:39.887073  4180 solver.cpp:203]     Train net output #0: loss = 0.850093 (* 1 = 0.850093 loss)
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I0316 18:11:06.764019  4180 solver.cpp:188] Iteration 31960, loss = 0.824385
I0316 18:11:06.764145  4180 solver.cpp:203]     Train net output #0: loss = 0.824385 (* 1 = 0.824385 loss)
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I0316 18:16:29.678273  4180 solver.cpp:188] Iteration 32000, loss = 0.964301
I0316 18:16:29.678388  4180 solver.cpp:203]     Train net output #0: loss = 0.964301 (* 1 = 0.964301 loss)
I0316 18:16:29.678400  4180 solver.cpp:449] Iteration 32000, lr = 0.0005
I0316 18:21:54.262071  4180 solver.cpp:188] Iteration 32040, loss = 0.932032
I0316 18:21:54.262204  4180 solver.cpp:203]     Train net output #0: loss = 0.932032 (* 1 = 0.932032 loss)
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I0316 18:27:20.927369  4180 solver.cpp:188] Iteration 32080, loss = 0.973115
I0316 18:27:20.927497  4180 solver.cpp:203]     Train net output #0: loss = 0.973115 (* 1 = 0.973115 loss)
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I0316 18:32:41.327849  4180 solver.cpp:188] Iteration 32120, loss = 0.895466
I0316 18:32:41.327980  4180 solver.cpp:203]     Train net output #0: loss = 0.895466 (* 1 = 0.895466 loss)
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I0316 18:38:02.568924  4180 solver.cpp:188] Iteration 32160, loss = 0.86978
I0316 18:38:02.569051  4180 solver.cpp:203]     Train net output #0: loss = 0.86978 (* 1 = 0.86978 loss)
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I0316 18:43:25.222525  4180 solver.cpp:188] Iteration 32200, loss = 0.850343
I0316 18:43:25.222636  4180 solver.cpp:203]     Train net output #0: loss = 0.850343 (* 1 = 0.850343 loss)
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I0316 18:48:56.066045  4180 solver.cpp:188] Iteration 32240, loss = 0.831865
I0316 18:48:56.066169  4180 solver.cpp:203]     Train net output #0: loss = 0.831865 (* 1 = 0.831865 loss)
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I0316 18:54:26.897032  4180 solver.cpp:188] Iteration 32280, loss = 0.868086
I0316 18:54:26.897171  4180 solver.cpp:203]     Train net output #0: loss = 0.868086 (* 1 = 0.868086 loss)
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I0316 18:59:57.778165  4180 solver.cpp:188] Iteration 32320, loss = 0.798073
I0316 18:59:57.778306  4180 solver.cpp:203]     Train net output #0: loss = 0.798073 (* 1 = 0.798073 loss)
I0316 18:59:57.778318  4180 solver.cpp:449] Iteration 32320, lr = 0.0005
I0316 19:05:26.342541  4180 solver.cpp:188] Iteration 32360, loss = 0.788153
I0316 19:05:26.342676  4180 solver.cpp:203]     Train net output #0: loss = 0.788153 (* 1 = 0.788153 loss)
I0316 19:05:26.342689  4180 solver.cpp:449] Iteration 32360, lr = 0.0005
I0316 19:10:54.454830  4180 solver.cpp:188] Iteration 32400, loss = 0.853002
I0316 19:10:54.454962  4180 solver.cpp:203]     Train net output #0: loss = 0.853002 (* 1 = 0.853002 loss)
I0316 19:10:54.454974  4180 solver.cpp:449] Iteration 32400, lr = 0.0005
I0316 19:16:18.892606  4180 solver.cpp:188] Iteration 32440, loss = 0.862015
I0316 19:16:18.892714  4180 solver.cpp:203]     Train net output #0: loss = 0.862015 (* 1 = 0.862015 loss)
I0316 19:16:18.892725  4180 solver.cpp:449] Iteration 32440, lr = 0.0005
I0316 19:21:48.285701  4180 solver.cpp:188] Iteration 32480, loss = 0.813161
I0316 19:21:48.285830  4180 solver.cpp:203]     Train net output #0: loss = 0.813161 (* 1 = 0.813161 loss)
I0316 19:21:48.285840  4180 solver.cpp:449] Iteration 32480, lr = 0.0005
I0316 19:27:12.731860  4180 solver.cpp:188] Iteration 32520, loss = 0.962196
I0316 19:27:12.731992  4180 solver.cpp:203]     Train net output #0: loss = 0.962196 (* 1 = 0.962196 loss)
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I0316 19:32:36.425843  4180 solver.cpp:188] Iteration 32560, loss = 0.827482
I0316 19:32:36.425968  4180 solver.cpp:203]     Train net output #0: loss = 0.827482 (* 1 = 0.827482 loss)
I0316 19:32:36.425979  4180 solver.cpp:449] Iteration 32560, lr = 0.0005
I0316 19:38:03.392570  4180 solver.cpp:188] Iteration 32600, loss = 0.942064
I0316 19:38:03.392689  4180 solver.cpp:203]     Train net output #0: loss = 0.942064 (* 1 = 0.942064 loss)
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I0316 19:43:30.961441  4180 solver.cpp:188] Iteration 32640, loss = 0.896047
I0316 19:43:30.961546  4180 solver.cpp:203]     Train net output #0: loss = 0.896047 (* 1 = 0.896047 loss)
I0316 19:43:30.961557  4180 solver.cpp:449] Iteration 32640, lr = 0.0005
I0316 19:48:52.267710  4180 solver.cpp:188] Iteration 32680, loss = 0.731937
I0316 19:48:52.267842  4180 solver.cpp:203]     Train net output #0: loss = 0.731937 (* 1 = 0.731937 loss)
I0316 19:48:52.267853  4180 solver.cpp:449] Iteration 32680, lr = 0.0005
I0316 19:54:24.746527  4180 solver.cpp:188] Iteration 32720, loss = 0.758594
I0316 19:54:24.746660  4180 solver.cpp:203]     Train net output #0: loss = 0.758594 (* 1 = 0.758594 loss)
I0316 19:54:24.746671  4180 solver.cpp:449] Iteration 32720, lr = 0.0005
I0316 19:59:58.463495  4180 solver.cpp:188] Iteration 32760, loss = 0.768942
I0316 19:59:58.463620  4180 solver.cpp:203]     Train net output #0: loss = 0.768942 (* 1 = 0.768942 loss)
I0316 19:59:58.463631  4180 solver.cpp:449] Iteration 32760, lr = 0.0005
I0316 20:05:31.408279  4180 solver.cpp:188] Iteration 32800, loss = 0.782912
I0316 20:05:31.408416  4180 solver.cpp:203]     Train net output #0: loss = 0.782912 (* 1 = 0.782912 loss)
I0316 20:05:31.408427  4180 solver.cpp:449] Iteration 32800, lr = 0.0005
I0316 20:11:01.499567  4180 solver.cpp:188] Iteration 32840, loss = 0.881388
I0316 20:11:01.499683  4180 solver.cpp:203]     Train net output #0: loss = 0.881388 (* 1 = 0.881388 loss)
I0316 20:11:01.499694  4180 solver.cpp:449] Iteration 32840, lr = 0.0005
I0316 20:16:30.056459  4180 solver.cpp:188] Iteration 32880, loss = 0.764017
I0316 20:16:30.056581  4180 solver.cpp:203]     Train net output #0: loss = 0.764017 (* 1 = 0.764017 loss)
I0316 20:16:30.056591  4180 solver.cpp:449] Iteration 32880, lr = 0.0005
I0316 20:21:58.213213  4180 solver.cpp:188] Iteration 32920, loss = 0.759916
I0316 20:21:58.213337  4180 solver.cpp:203]     Train net output #0: loss = 0.759916 (* 1 = 0.759916 loss)
I0316 20:21:58.213348  4180 solver.cpp:449] Iteration 32920, lr = 0.0005
I0316 20:27:24.856940  4180 solver.cpp:188] Iteration 32960, loss = 0.763881
I0316 20:27:24.857095  4180 solver.cpp:203]     Train net output #0: loss = 0.763881 (* 1 = 0.763881 loss)
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I0316 20:32:50.434109  4180 solver.cpp:188] Iteration 33000, loss = 0.828094
I0316 20:32:50.434242  4180 solver.cpp:203]     Train net output #0: loss = 0.828094 (* 1 = 0.828094 loss)
I0316 20:32:50.434253  4180 solver.cpp:449] Iteration 33000, lr = 0.0005
I0316 20:38:17.987885  4180 solver.cpp:188] Iteration 33040, loss = 0.741965
I0316 20:38:17.987985  4180 solver.cpp:203]     Train net output #0: loss = 0.741965 (* 1 = 0.741965 loss)
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I0316 20:43:45.684751  4180 solver.cpp:188] Iteration 33080, loss = 0.772281
I0316 20:43:45.684876  4180 solver.cpp:203]     Train net output #0: loss = 0.772281 (* 1 = 0.772281 loss)
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I0316 20:49:11.312016  4180 solver.cpp:188] Iteration 33120, loss = 0.756707
I0316 20:49:11.312141  4180 solver.cpp:203]     Train net output #0: loss = 0.756707 (* 1 = 0.756707 loss)
I0316 20:49:11.312152  4180 solver.cpp:449] Iteration 33120, lr = 0.0005
I0316 20:54:35.810320  4180 solver.cpp:188] Iteration 33160, loss = 0.69022
I0316 20:54:35.810436  4180 solver.cpp:203]     Train net output #0: loss = 0.69022 (* 1 = 0.69022 loss)
I0316 20:54:35.810446  4180 solver.cpp:449] Iteration 33160, lr = 0.0005
I0316 21:00:07.925473  4180 solver.cpp:188] Iteration 33200, loss = 0.730945
I0316 21:00:07.925583  4180 solver.cpp:203]     Train net output #0: loss = 0.730945 (* 1 = 0.730945 loss)
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I0316 21:05:39.307052  4180 solver.cpp:188] Iteration 33240, loss = 0.76963
I0316 21:05:39.307171  4180 solver.cpp:203]     Train net output #0: loss = 0.76963 (* 1 = 0.76963 loss)
I0316 21:05:39.307183  4180 solver.cpp:449] Iteration 33240, lr = 0.0005
I0316 21:11:10.944097  4180 solver.cpp:188] Iteration 33280, loss = 0.950705
I0316 21:11:10.944226  4180 solver.cpp:203]     Train net output #0: loss = 0.950705 (* 1 = 0.950705 loss)
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I0316 21:20:48.079182  4180 solver.cpp:188] Iteration 33320, loss = 0.86564
I0316 21:20:48.079310  4180 solver.cpp:203]     Train net output #0: loss = 0.86564 (* 1 = 0.86564 loss)
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I0316 21:31:54.643513  4180 solver.cpp:188] Iteration 33360, loss = 0.823233
I0316 21:31:54.643674  4180 solver.cpp:203]     Train net output #0: loss = 0.823233 (* 1 = 0.823233 loss)
I0316 21:31:54.643697  4180 solver.cpp:449] Iteration 33360, lr = 0.0005
I0316 21:38:32.169827  4180 solver.cpp:188] Iteration 33400, loss = 0.91314
I0316 21:38:32.169973  4180 solver.cpp:203]     Train net output #0: loss = 0.91314 (* 1 = 0.91314 loss)
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I0316 21:44:25.792544  4180 solver.cpp:188] Iteration 33440, loss = 0.894116
I0316 21:44:25.792670  4180 solver.cpp:203]     Train net output #0: loss = 0.894116 (* 1 = 0.894116 loss)
I0316 21:44:25.792681  4180 solver.cpp:449] Iteration 33440, lr = 0.0005
I0316 21:49:57.571862  4180 solver.cpp:188] Iteration 33480, loss = 0.999249
I0316 21:49:57.571990  4180 solver.cpp:203]     Train net output #0: loss = 0.999249 (* 1 = 0.999249 loss)
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I0316 21:55:18.947080  4180 solver.cpp:188] Iteration 33520, loss = 0.92056
I0316 21:55:18.947201  4180 solver.cpp:203]     Train net output #0: loss = 0.92056 (* 1 = 0.92056 loss)
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I0316 22:00:51.476001  4180 solver.cpp:188] Iteration 33560, loss = 0.840761
I0316 22:00:51.476104  4180 solver.cpp:203]     Train net output #0: loss = 0.840761 (* 1 = 0.840761 loss)
I0316 22:00:51.476115  4180 solver.cpp:449] Iteration 33560, lr = 0.0005
I0316 22:06:36.294553  4180 solver.cpp:188] Iteration 33600, loss = 0.989689
I0316 22:06:36.294678  4180 solver.cpp:203]     Train net output #0: loss = 0.989689 (* 1 = 0.989689 loss)
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I0316 22:18:56.362193  4180 solver.cpp:188] Iteration 33640, loss = 0.745797
I0316 22:18:56.362462  4180 solver.cpp:203]     Train net output #0: loss = 0.745797 (* 1 = 0.745797 loss)
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I0316 22:28:51.554100  4180 solver.cpp:188] Iteration 33680, loss = 0.871226
I0316 22:28:51.566902  4180 solver.cpp:203]     Train net output #0: loss = 0.871226 (* 1 = 0.871226 loss)
I0316 22:28:51.566926  4180 solver.cpp:449] Iteration 33680, lr = 0.0005
I0316 22:38:22.054440  4180 solver.cpp:188] Iteration 33720, loss = 0.873571
I0316 22:38:22.067678  4180 solver.cpp:203]     Train net output #0: loss = 0.873571 (* 1 = 0.873571 loss)
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I0316 22:47:31.012604  4180 solver.cpp:188] Iteration 33760, loss = 0.849363
I0316 22:47:31.025595  4180 solver.cpp:203]     Train net output #0: loss = 0.849363 (* 1 = 0.849363 loss)
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I0316 22:54:20.597100  4180 solver.cpp:188] Iteration 33800, loss = 0.907239
I0316 22:54:20.597218  4180 solver.cpp:203]     Train net output #0: loss = 0.907239 (* 1 = 0.907239 loss)
I0316 22:54:20.597229  4180 solver.cpp:449] Iteration 33800, lr = 0.0005
I0316 23:00:34.386178  4180 solver.cpp:188] Iteration 33840, loss = 0.850124
I0316 23:00:34.386301  4180 solver.cpp:203]     Train net output #0: loss = 0.850124 (* 1 = 0.850124 loss)
I0316 23:00:34.386312  4180 solver.cpp:449] Iteration 33840, lr = 0.0005
I0316 23:06:16.646574  4180 solver.cpp:188] Iteration 33880, loss = 0.89893
I0316 23:06:16.646684  4180 solver.cpp:203]     Train net output #0: loss = 0.89893 (* 1 = 0.89893 loss)
I0316 23:06:16.646695  4180 solver.cpp:449] Iteration 33880, lr = 0.0005
I0316 23:11:37.144888  4180 solver.cpp:188] Iteration 33920, loss = 0.756353
I0316 23:11:37.144999  4180 solver.cpp:203]     Train net output #0: loss = 0.756353 (* 1 = 0.756353 loss)
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I0316 23:16:57.751380  4180 solver.cpp:188] Iteration 33960, loss = 0.885369
I0316 23:16:57.751514  4180 solver.cpp:203]     Train net output #0: loss = 0.885369 (* 1 = 0.885369 loss)
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I0316 23:22:23.314122  4180 solver.cpp:188] Iteration 34000, loss = 0.875628
I0316 23:22:23.314249  4180 solver.cpp:203]     Train net output #0: loss = 0.875628 (* 1 = 0.875628 loss)
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I0316 23:27:51.420670  4180 solver.cpp:188] Iteration 34040, loss = 0.794428
I0316 23:27:51.420781  4180 solver.cpp:203]     Train net output #0: loss = 0.794428 (* 1 = 0.794428 loss)
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I0316 23:33:33.827642  4180 solver.cpp:188] Iteration 34080, loss = 0.896685
I0316 23:33:33.827751  4180 solver.cpp:203]     Train net output #0: loss = 0.896685 (* 1 = 0.896685 loss)
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I0316 23:39:12.139519  4180 solver.cpp:188] Iteration 34120, loss = 0.920312
I0316 23:39:12.139647  4180 solver.cpp:203]     Train net output #0: loss = 0.920312 (* 1 = 0.920312 loss)
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I0316 23:44:44.533996  4180 solver.cpp:188] Iteration 34160, loss = 0.869843
I0316 23:44:44.534106  4180 solver.cpp:203]     Train net output #0: loss = 0.869843 (* 1 = 0.869843 loss)
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I0316 23:50:15.990218  4180 solver.cpp:188] Iteration 34200, loss = 0.901433
I0316 23:50:15.990331  4180 solver.cpp:203]     Train net output #0: loss = 0.901433 (* 1 = 0.901433 loss)
I0316 23:50:15.990342  4180 solver.cpp:449] Iteration 34200, lr = 0.0005
I0316 23:55:51.773915  4180 solver.cpp:188] Iteration 34240, loss = 0.880041
I0316 23:55:51.774065  4180 solver.cpp:203]     Train net output #0: loss = 0.880041 (* 1 = 0.880041 loss)
I0316 23:55:51.774077  4180 solver.cpp:449] Iteration 34240, lr = 0.0005
I0317 00:01:21.107614  4180 solver.cpp:188] Iteration 34280, loss = 0.802339
I0317 00:01:21.107712  4180 solver.cpp:203]     Train net output #0: loss = 0.802339 (* 1 = 0.802339 loss)
I0317 00:01:21.107722  4180 solver.cpp:449] Iteration 34280, lr = 0.0005
I0317 00:06:52.392021  4180 solver.cpp:188] Iteration 34320, loss = 0.754867
I0317 00:06:52.392138  4180 solver.cpp:203]     Train net output #0: loss = 0.754867 (* 1 = 0.754867 loss)
I0317 00:06:52.392148  4180 solver.cpp:449] Iteration 34320, lr = 0.0005
I0317 00:12:21.960748  4180 solver.cpp:188] Iteration 34360, loss = 0.827954
I0317 00:12:21.960876  4180 solver.cpp:203]     Train net output #0: loss = 0.827954 (* 1 = 0.827954 loss)
I0317 00:12:21.960886  4180 solver.cpp:449] Iteration 34360, lr = 0.0005
I0317 00:17:53.968536  4180 solver.cpp:188] Iteration 34400, loss = 0.879776
I0317 00:17:53.968683  4180 solver.cpp:203]     Train net output #0: loss = 0.879776 (* 1 = 0.879776 loss)
I0317 00:17:53.968693  4180 solver.cpp:449] Iteration 34400, lr = 0.0005
I0317 00:23:23.612615  4180 solver.cpp:188] Iteration 34440, loss = 0.900443
I0317 00:23:23.612728  4180 solver.cpp:203]     Train net output #0: loss = 0.900443 (* 1 = 0.900443 loss)
I0317 00:23:23.612740  4180 solver.cpp:449] Iteration 34440, lr = 0.0005
I0317 00:27:35.916280  4180 solver.cpp:188] Iteration 34480, loss = 0.847626
I0317 00:27:35.916389  4180 solver.cpp:203]     Train net output #0: loss = 0.847626 (* 1 = 0.847626 loss)
I0317 00:27:35.916404  4180 solver.cpp:449] Iteration 34480, lr = 0.0005
I0317 00:33:01.588701  4180 solver.cpp:188] Iteration 34520, loss = 0.891097
I0317 00:33:01.588835  4180 solver.cpp:203]     Train net output #0: loss = 0.891097 (* 1 = 0.891097 loss)
I0317 00:33:01.588845  4180 solver.cpp:449] Iteration 34520, lr = 0.0005
I0317 00:38:32.653086  4180 solver.cpp:188] Iteration 34560, loss = 0.85886
I0317 00:38:32.653209  4180 solver.cpp:203]     Train net output #0: loss = 0.85886 (* 1 = 0.85886 loss)
I0317 00:38:32.653219  4180 solver.cpp:449] Iteration 34560, lr = 0.0005
I0317 00:44:08.391064  4180 solver.cpp:188] Iteration 34600, loss = 1.02829
I0317 00:44:08.391177  4180 solver.cpp:203]     Train net output #0: loss = 1.02829 (* 1 = 1.02829 loss)
I0317 00:44:08.391188  4180 solver.cpp:449] Iteration 34600, lr = 0.0005
I0317 00:49:41.813915  4180 solver.cpp:188] Iteration 34640, loss = 0.780847
I0317 00:49:41.814025  4180 solver.cpp:203]     Train net output #0: loss = 0.780847 (* 1 = 0.780847 loss)
I0317 00:49:41.814036  4180 solver.cpp:449] Iteration 34640, lr = 0.0005
I0317 00:55:18.086253  4180 solver.cpp:188] Iteration 34680, loss = 0.942581
I0317 00:55:18.086448  4180 solver.cpp:203]     Train net output #0: loss = 0.942581 (* 1 = 0.942581 loss)
I0317 00:55:18.086460  4180 solver.cpp:449] Iteration 34680, lr = 0.0005
I0317 01:00:46.325969  4180 solver.cpp:188] Iteration 34720, loss = 0.809018
I0317 01:00:46.326083  4180 solver.cpp:203]     Train net output #0: loss = 0.809018 (* 1 = 0.809018 loss)
I0317 01:00:46.326093  4180 solver.cpp:449] Iteration 34720, lr = 0.0005
I0317 01:06:15.365792  4180 solver.cpp:188] Iteration 34760, loss = 0.860203
I0317 01:06:15.365888  4180 solver.cpp:203]     Train net output #0: loss = 0.860203 (* 1 = 0.860203 loss)
I0317 01:06:15.365898  4180 solver.cpp:449] Iteration 34760, lr = 0.0005
I0317 01:11:46.636338  4180 solver.cpp:188] Iteration 34800, loss = 0.915015
I0317 01:11:46.636467  4180 solver.cpp:203]     Train net output #0: loss = 0.915015 (* 1 = 0.915015 loss)
I0317 01:11:46.636478  4180 solver.cpp:449] Iteration 34800, lr = 0.0005
I0317 01:17:16.284847  4180 solver.cpp:188] Iteration 34840, loss = 0.920546
I0317 01:17:16.284976  4180 solver.cpp:203]     Train net output #0: loss = 0.920546 (* 1 = 0.920546 loss)
I0317 01:17:16.284987  4180 solver.cpp:449] Iteration 34840, lr = 0.0005
I0317 01:22:45.106336  4180 solver.cpp:188] Iteration 34880, loss = 0.863675
I0317 01:22:45.106573  4180 solver.cpp:203]     Train net output #0: loss = 0.863675 (* 1 = 0.863675 loss)
I0317 01:22:45.106605  4180 solver.cpp:449] Iteration 34880, lr = 0.0005
I0317 01:28:17.187000  4180 solver.cpp:188] Iteration 34920, loss = 0.811087
I0317 01:28:17.187119  4180 solver.cpp:203]     Train net output #0: loss = 0.811087 (* 1 = 0.811087 loss)
I0317 01:28:17.187129  4180 solver.cpp:449] Iteration 34920, lr = 0.0005
I0317 01:33:45.614321  4180 solver.cpp:188] Iteration 34960, loss = 0.833652
I0317 01:33:45.614449  4180 solver.cpp:203]     Train net output #0: loss = 0.833652 (* 1 = 0.833652 loss)
I0317 01:33:45.614459  4180 solver.cpp:449] Iteration 34960, lr = 0.0005
I0317 01:39:06.432801  4180 solver.cpp:337] Snapshotting to cache/flic/flic_iter_35000.caffemodel
I0317 01:39:07.360656  4180 solver.cpp:345] Snapshotting solver state to cache/flic/flic_iter_35000.solverstate
I0317 01:39:07.745959  4180 solver.cpp:266] Iteration 35000, Testing net (#0)
I0317 01:40:32.729267  4180 solver.cpp:317]     Test net output #0: accuracy = 0.681139
I0317 01:40:32.729373  4180 solver.cpp:317]     Test net output #1: loss = 0.96363 (* 1 = 0.96363 loss)
I0317 01:40:32.952486  4180 solver.cpp:188] Iteration 35000, loss = 0.81719
I0317 01:40:32.952527  4180 solver.cpp:203]     Train net output #0: loss = 0.81719 (* 1 = 0.81719 loss)
I0317 01:40:32.952536  4180 solver.cpp:449] Iteration 35000, lr = 0.0005
I0317 01:46:27.179232  4180 solver.cpp:188] Iteration 35040, loss = 0.984899
I0317 01:46:27.179345  4180 solver.cpp:203]     Train net output #0: loss = 0.984899 (* 1 = 0.984899 loss)
I0317 01:46:27.179366  4180 solver.cpp:449] Iteration 35040, lr = 0.0005
I0317 01:52:15.114543  4180 solver.cpp:188] Iteration 35080, loss = 0.944815
I0317 01:52:15.114665  4180 solver.cpp:203]     Train net output #0: loss = 0.944815 (* 1 = 0.944815 loss)
I0317 01:52:15.114675  4180 solver.cpp:449] Iteration 35080, lr = 0.0005
I0317 01:58:04.699153  4180 solver.cpp:188] Iteration 35120, loss = 0.85006
I0317 01:58:04.699278  4180 solver.cpp:203]     Train net output #0: loss = 0.85006 (* 1 = 0.85006 loss)
I0317 01:58:04.699290  4180 solver.cpp:449] Iteration 35120, lr = 0.0005
I0317 02:03:45.710239  4180 solver.cpp:188] Iteration 35160, loss = 0.813165
I0317 02:03:45.710372  4180 solver.cpp:203]     Train net output #0: loss = 0.813165 (* 1 = 0.813165 loss)
I0317 02:03:45.710383  4180 solver.cpp:449] Iteration 35160, lr = 0.0005
I0317 02:09:22.910497  4180 solver.cpp:188] Iteration 35200, loss = 0.885502
I0317 02:09:22.910629  4180 solver.cpp:203]     Train net output #0: loss = 0.885502 (* 1 = 0.885502 loss)
I0317 02:09:22.910650  4180 solver.cpp:449] Iteration 35200, lr = 0.0005
I0317 02:14:56.029582  4180 solver.cpp:188] Iteration 35240, loss = 0.950776
I0317 02:14:56.029714  4180 solver.cpp:203]     Train net output #0: loss = 0.950776 (* 1 = 0.950776 loss)
I0317 02:14:56.029726  4180 solver.cpp:449] Iteration 35240, lr = 0.0005
I0317 02:20:31.339110  4180 solver.cpp:188] Iteration 35280, loss = 0.901322
I0317 02:20:31.339237  4180 solver.cpp:203]     Train net output #0: loss = 0.901322 (* 1 = 0.901322 loss)
I0317 02:20:31.339248  4180 solver.cpp:449] Iteration 35280, lr = 0.0005
I0317 02:26:04.987798  4180 solver.cpp:188] Iteration 35320, loss = 0.768114
I0317 02:26:04.987926  4180 solver.cpp:203]     Train net output #0: loss = 0.768114 (* 1 = 0.768114 loss)
I0317 02:26:04.987936  4180 solver.cpp:449] Iteration 35320, lr = 0.0005
I0317 02:31:33.141829  4180 solver.cpp:188] Iteration 35360, loss = 0.908552
I0317 02:31:33.141942  4180 solver.cpp:203]     Train net output #0: loss = 0.908552 (* 1 = 0.908552 loss)
I0317 02:31:33.141963  4180 solver.cpp:449] Iteration 35360, lr = 0.0005
I0317 02:37:07.345499  4180 solver.cpp:188] Iteration 35400, loss = 0.860757
I0317 02:37:07.345633  4180 solver.cpp:203]     Train net output #0: loss = 0.860757 (* 1 = 0.860757 loss)
I0317 02:37:07.345643  4180 solver.cpp:449] Iteration 35400, lr = 0.0005
I0317 02:42:38.405032  4180 solver.cpp:188] Iteration 35440, loss = 0.803557
I0317 02:42:38.405166  4180 solver.cpp:203]     Train net output #0: loss = 0.803557 (* 1 = 0.803557 loss)
I0317 02:42:38.405187  4180 solver.cpp:449] Iteration 35440, lr = 0.0005
I0317 02:48:13.537418  4180 solver.cpp:188] Iteration 35480, loss = 0.81406
I0317 02:48:13.537534  4180 solver.cpp:203]     Train net output #0: loss = 0.81406 (* 1 = 0.81406 loss)
I0317 02:48:13.537544  4180 solver.cpp:449] Iteration 35480, lr = 0.0005
I0317 02:53:50.290947  4180 solver.cpp:188] Iteration 35520, loss = 0.888349
I0317 02:53:50.291043  4180 solver.cpp:203]     Train net output #0: loss = 0.888349 (* 1 = 0.888349 loss)
I0317 02:53:50.291064  4180 solver.cpp:449] Iteration 35520, lr = 0.0005
I0317 02:59:28.331966  4180 solver.cpp:188] Iteration 35560, loss = 0.925921
I0317 02:59:28.332099  4180 solver.cpp:203]     Train net output #0: loss = 0.925921 (* 1 = 0.925921 loss)
I0317 02:59:28.332110  4180 solver.cpp:449] Iteration 35560, lr = 0.0005
I0317 03:05:09.281455  4180 solver.cpp:188] Iteration 35600, loss = 0.893242
I0317 03:05:09.281585  4180 solver.cpp:203]     Train net output #0: loss = 0.893242 (* 1 = 0.893242 loss)
I0317 03:05:09.281606  4180 solver.cpp:449] Iteration 35600, lr = 0.0005
I0317 03:10:49.806409  4180 solver.cpp:188] Iteration 35640, loss = 0.861618
I0317 03:10:49.806538  4180 solver.cpp:203]     Train net output #0: loss = 0.861618 (* 1 = 0.861618 loss)
I0317 03:10:49.806548  4180 solver.cpp:449] Iteration 35640, lr = 0.0005
I0317 03:16:24.050876  4180 solver.cpp:188] Iteration 35680, loss = 0.883592
I0317 03:16:24.050988  4180 solver.cpp:203]     Train net output #0: loss = 0.883592 (* 1 = 0.883592 loss)
I0317 03:16:24.051000  4180 solver.cpp:449] Iteration 35680, lr = 0.0005
I0317 03:21:57.728576  4180 solver.cpp:188] Iteration 35720, loss = 0.867208
I0317 03:21:57.728711  4180 solver.cpp:203]     Train net output #0: loss = 0.867208 (* 1 = 0.867208 loss)
I0317 03:21:57.728723  4180 solver.cpp:449] Iteration 35720, lr = 0.0005
I0317 03:27:28.496659  4180 solver.cpp:188] Iteration 35760, loss = 0.798877
I0317 03:27:28.496784  4180 solver.cpp:203]     Train net output #0: loss = 0.798877 (* 1 = 0.798877 loss)
I0317 03:27:28.496806  4180 solver.cpp:449] Iteration 35760, lr = 0.0005
I0317 03:32:59.396689  4180 solver.cpp:188] Iteration 35800, loss = 0.921108
I0317 03:32:59.396817  4180 solver.cpp:203]     Train net output #0: loss = 0.921108 (* 1 = 0.921108 loss)
I0317 03:32:59.396828  4180 solver.cpp:449] Iteration 35800, lr = 0.0005
I0317 03:38:31.604760  4180 solver.cpp:188] Iteration 35840, loss = 0.797003
I0317 03:38:31.604894  4180 solver.cpp:203]     Train net output #0: loss = 0.797003 (* 1 = 0.797003 loss)
I0317 03:38:31.604905  4180 solver.cpp:449] Iteration 35840, lr = 0.0005
I0317 03:44:04.768544  4180 solver.cpp:188] Iteration 35880, loss = 0.912908
I0317 03:44:04.768656  4180 solver.cpp:203]     Train net output #0: loss = 0.912908 (* 1 = 0.912908 loss)
I0317 03:44:04.768671  4180 solver.cpp:449] Iteration 35880, lr = 0.0005
I0317 03:49:36.391917  4180 solver.cpp:188] Iteration 35920, loss = 0.90416
I0317 03:49:36.392038  4180 solver.cpp:203]     Train net output #0: loss = 0.90416 (* 1 = 0.90416 loss)
I0317 03:49:36.392050  4180 solver.cpp:449] Iteration 35920, lr = 0.0005
I0317 03:55:14.609071  4180 solver.cpp:188] Iteration 35960, loss = 0.883472
I0317 03:55:14.609320  4180 solver.cpp:203]     Train net output #0: loss = 0.883472 (* 1 = 0.883472 loss)
I0317 03:55:14.609333  4180 solver.cpp:449] Iteration 35960, lr = 0.0005
I0317 04:00:53.187279  4180 solver.cpp:188] Iteration 36000, loss = 0.883934
I0317 04:00:53.187444  4180 solver.cpp:203]     Train net output #0: loss = 0.883934 (* 1 = 0.883934 loss)
I0317 04:00:53.187456  4180 solver.cpp:449] Iteration 36000, lr = 0.0005
I0317 04:06:29.157105  4180 solver.cpp:188] Iteration 36040, loss = 0.876241
I0317 04:06:29.157229  4180 solver.cpp:203]     Train net output #0: loss = 0.876241 (* 1 = 0.876241 loss)
I0317 04:06:29.157240  4180 solver.cpp:449] Iteration 36040, lr = 0.0005
I0317 04:12:06.644826  4180 solver.cpp:188] Iteration 36080, loss = 0.790812
I0317 04:12:06.644959  4180 solver.cpp:203]     Train net output #0: loss = 0.790812 (* 1 = 0.790812 loss)
I0317 04:12:06.644980  4180 solver.cpp:449] Iteration 36080, lr = 0.0005
I0317 04:17:41.791924  4180 solver.cpp:188] Iteration 36120, loss = 0.822548
I0317 04:17:41.792049  4180 solver.cpp:203]     Train net output #0: loss = 0.822548 (* 1 = 0.822548 loss)
I0317 04:17:41.792060  4180 solver.cpp:449] Iteration 36120, lr = 0.0005
I0317 04:23:12.273529  4180 solver.cpp:188] Iteration 36160, loss = 0.850498
I0317 04:23:12.273653  4180 solver.cpp:203]     Train net output #0: loss = 0.850498 (* 1 = 0.850498 loss)
I0317 04:23:12.273674  4180 solver.cpp:449] Iteration 36160, lr = 0.0005
I0317 04:28:44.082314  4180 solver.cpp:188] Iteration 36200, loss = 0.635858
I0317 04:28:44.082447  4180 solver.cpp:203]     Train net output #0: loss = 0.635858 (* 1 = 0.635858 loss)
I0317 04:28:44.082458  4180 solver.cpp:449] Iteration 36200, lr = 0.0005
I0317 04:34:14.688591  4180 solver.cpp:188] Iteration 36240, loss = 0.869877
I0317 04:34:14.688719  4180 solver.cpp:203]     Train net output #0: loss = 0.869877 (* 1 = 0.869877 loss)
I0317 04:34:14.688740  4180 solver.cpp:449] Iteration 36240, lr = 0.0005
I0317 04:39:47.082278  4180 solver.cpp:188] Iteration 36280, loss = 0.692119
I0317 04:39:47.082391  4180 solver.cpp:203]     Train net output #0: loss = 0.692119 (* 1 = 0.692119 loss)
I0317 04:39:47.082413  4180 solver.cpp:449] Iteration 36280, lr = 0.0005
I0317 04:45:16.746793  4180 solver.cpp:188] Iteration 36320, loss = 0.850489
I0317 04:45:16.746925  4180 solver.cpp:203]     Train net output #0: loss = 0.850489 (* 1 = 0.850489 loss)
I0317 04:45:16.746937  4180 solver.cpp:449] Iteration 36320, lr = 0.0005
I0317 04:50:46.975926  4180 solver.cpp:188] Iteration 36360, loss = 0.845527
I0317 04:50:46.976047  4180 solver.cpp:203]     Train net output #0: loss = 0.845527 (* 1 = 0.845527 loss)
I0317 04:50:46.976058  4180 solver.cpp:449] Iteration 36360, lr = 0.0005
I0317 04:56:17.891310  4180 solver.cpp:188] Iteration 36400, loss = 0.864977
I0317 04:56:17.891441  4180 solver.cpp:203]     Train net output #0: loss = 0.864977 (* 1 = 0.864977 loss)
I0317 04:56:17.891451  4180 solver.cpp:449] Iteration 36400, lr = 0.0005
I0317 05:01:57.991941  4180 solver.cpp:188] Iteration 36440, loss = 0.885863
I0317 05:01:57.992027  4180 solver.cpp:203]     Train net output #0: loss = 0.885863 (* 1 = 0.885863 loss)
I0317 05:01:57.992041  4180 solver.cpp:449] Iteration 36440, lr = 0.0005
I0317 05:07:36.684118  4180 solver.cpp:188] Iteration 36480, loss = 0.899504
I0317 05:07:36.684249  4180 solver.cpp:203]     Train net output #0: loss = 0.899504 (* 1 = 0.899504 loss)
I0317 05:07:36.684260  4180 solver.cpp:449] Iteration 36480, lr = 0.0005
I0317 05:13:12.079800  4180 solver.cpp:188] Iteration 36520, loss = 0.731694
I0317 05:13:12.079936  4180 solver.cpp:203]     Train net output #0: loss = 0.731694 (* 1 = 0.731694 loss)
I0317 05:13:12.079952  4180 solver.cpp:449] Iteration 36520, lr = 0.0005
I0317 05:18:50.293061  4180 solver.cpp:188] Iteration 36560, loss = 0.812192
I0317 05:18:50.293186  4180 solver.cpp:203]     Train net output #0: loss = 0.812192 (* 1 = 0.812192 loss)
I0317 05:18:50.293196  4180 solver.cpp:449] Iteration 36560, lr = 0.0005
I0317 05:24:22.210927  4180 solver.cpp:188] Iteration 36600, loss = 0.776449
I0317 05:24:22.211036  4180 solver.cpp:203]     Train net output #0: loss = 0.776449 (* 1 = 0.776449 loss)
I0317 05:24:22.211057  4180 solver.cpp:449] Iteration 36600, lr = 0.0005
I0317 05:29:51.483183  4180 solver.cpp:188] Iteration 36640, loss = 0.805567
I0317 05:29:51.483291  4180 solver.cpp:203]     Train net output #0: loss = 0.805567 (* 1 = 0.805567 loss)
I0317 05:29:51.483301  4180 solver.cpp:449] Iteration 36640, lr = 0.0005
I0317 05:35:22.920336  4180 solver.cpp:188] Iteration 36680, loss = 0.852056
I0317 05:35:22.920477  4180 solver.cpp:203]     Train net output #0: loss = 0.852056 (* 1 = 0.852056 loss)
I0317 05:35:22.920490  4180 solver.cpp:449] Iteration 36680, lr = 0.0005
I0317 05:40:52.824570  4180 solver.cpp:188] Iteration 36720, loss = 0.869304
I0317 05:40:52.824734  4180 solver.cpp:203]     Train net output #0: loss = 0.869304 (* 1 = 0.869304 loss)
I0317 05:40:52.824755  4180 solver.cpp:449] Iteration 36720, lr = 0.0005
I0317 05:46:27.752527  4180 solver.cpp:188] Iteration 36760, loss = 0.920123
I0317 05:46:27.752655  4180 solver.cpp:203]     Train net output #0: loss = 0.920123 (* 1 = 0.920123 loss)
I0317 05:46:27.752666  4180 solver.cpp:449] Iteration 36760, lr = 0.0005
I0317 05:52:00.167762  4180 solver.cpp:188] Iteration 36800, loss = 0.766716
I0317 05:52:00.167882  4180 solver.cpp:203]     Train net output #0: loss = 0.766716 (* 1 = 0.766716 loss)
I0317 05:52:00.167892  4180 solver.cpp:449] Iteration 36800, lr = 0.0005
I0317 05:57:35.334553  4180 solver.cpp:188] Iteration 36840, loss = 0.808845
I0317 05:57:35.336859  4180 solver.cpp:203]     Train net output #0: loss = 0.808845 (* 1 = 0.808845 loss)
I0317 05:57:35.336882  4180 solver.cpp:449] Iteration 36840, lr = 0.0005
I0317 06:03:11.122844  4180 solver.cpp:188] Iteration 36880, loss = 0.79034
I0317 06:03:11.123010  4180 solver.cpp:203]     Train net output #0: loss = 0.79034 (* 1 = 0.79034 loss)
I0317 06:03:11.123044  4180 solver.cpp:449] Iteration 36880, lr = 0.0005
I0317 06:08:57.378607  4180 solver.cpp:188] Iteration 36920, loss = 0.812028
I0317 06:08:57.378725  4180 solver.cpp:203]     Train net output #0: loss = 0.812028 (* 1 = 0.812028 loss)
I0317 06:08:57.378736  4180 solver.cpp:449] Iteration 36920, lr = 0.0005
I0317 06:14:32.677433  4180 solver.cpp:188] Iteration 36960, loss = 0.763235
I0317 06:14:32.677631  4180 solver.cpp:203]     Train net output #0: loss = 0.763235 (* 1 = 0.763235 loss)
I0317 06:14:32.677644  4180 solver.cpp:449] Iteration 36960, lr = 0.0005
I0317 06:20:08.898529  4180 solver.cpp:188] Iteration 37000, loss = 0.809506
I0317 06:20:08.898644  4180 solver.cpp:203]     Train net output #0: loss = 0.809506 (* 1 = 0.809506 loss)
I0317 06:20:08.898665  4180 solver.cpp:449] Iteration 37000, lr = 0.0005
I0317 06:25:41.484468  4180 solver.cpp:188] Iteration 37040, loss = 0.809362
I0317 06:25:41.484650  4180 solver.cpp:203]     Train net output #0: loss = 0.809362 (* 1 = 0.809362 loss)
I0317 06:25:41.484663  4180 solver.cpp:449] Iteration 37040, lr = 0.0005
I0317 06:31:03.701753  4180 solver.cpp:188] Iteration 37080, loss = 0.781553
I0317 06:31:03.701871  4180 solver.cpp:203]     Train net output #0: loss = 0.781553 (* 1 = 0.781553 loss)
I0317 06:31:03.701884  4180 solver.cpp:449] Iteration 37080, lr = 0.0005
I0317 06:36:32.139761  4180 solver.cpp:188] Iteration 37120, loss = 0.742505
I0317 06:36:32.139880  4180 solver.cpp:203]     Train net output #0: loss = 0.742505 (* 1 = 0.742505 loss)
I0317 06:36:32.139891  4180 solver.cpp:449] Iteration 37120, lr = 0.0005
I0317 06:42:00.338795  4180 solver.cpp:188] Iteration 37160, loss = 0.777889
I0317 06:42:00.338920  4180 solver.cpp:203]     Train net output #0: loss = 0.777889 (* 1 = 0.777889 loss)
I0317 06:42:00.338935  4180 solver.cpp:449] Iteration 37160, lr = 0.0005
I0317 06:47:30.628494  4180 solver.cpp:188] Iteration 37200, loss = 0.708285
I0317 06:47:30.628623  4180 solver.cpp:203]     Train net output #0: loss = 0.708285 (* 1 = 0.708285 loss)
I0317 06:47:30.628645  4180 solver.cpp:449] Iteration 37200, lr = 0.0005
I0317 06:53:02.391150  4180 solver.cpp:188] Iteration 37240, loss = 0.707255
I0317 06:53:02.391275  4180 solver.cpp:203]     Train net output #0: loss = 0.707255 (* 1 = 0.707255 loss)
I0317 06:53:02.391288  4180 solver.cpp:449] Iteration 37240, lr = 0.0005
I0317 06:58:34.696553  4180 solver.cpp:188] Iteration 37280, loss = 0.705816
I0317 06:58:34.696681  4180 solver.cpp:203]     Train net output #0: loss = 0.705816 (* 1 = 0.705816 loss)
I0317 06:58:34.696692  4180 solver.cpp:449] Iteration 37280, lr = 0.0005
I0317 07:04:13.442112  4180 solver.cpp:188] Iteration 37320, loss = 0.695406
I0317 07:04:13.442234  4180 solver.cpp:203]     Train net output #0: loss = 0.695406 (* 1 = 0.695406 loss)
I0317 07:04:13.442245  4180 solver.cpp:449] Iteration 37320, lr = 0.0005
I0317 07:09:51.518113  4180 solver.cpp:188] Iteration 37360, loss = 0.677007
I0317 07:09:51.518322  4180 solver.cpp:203]     Train net output #0: loss = 0.677007 (* 1 = 0.677007 loss)
I0317 07:09:51.518334  4180 solver.cpp:449] Iteration 37360, lr = 0.0005
I0317 07:15:26.001261  4180 solver.cpp:188] Iteration 37400, loss = 0.74936
I0317 07:15:26.001386  4180 solver.cpp:203]     Train net output #0: loss = 0.74936 (* 1 = 0.74936 loss)
I0317 07:15:26.001406  4180 solver.cpp:449] Iteration 37400, lr = 0.0005
I0317 07:21:01.669235  4180 solver.cpp:188] Iteration 37440, loss = 0.734337
I0317 07:21:01.669364  4180 solver.cpp:203]     Train net output #0: loss = 0.734337 (* 1 = 0.734337 loss)
I0317 07:21:01.669374  4180 solver.cpp:449] Iteration 37440, lr = 0.0005
I0317 07:26:34.029109  4180 solver.cpp:188] Iteration 37480, loss = 0.790602
I0317 07:26:34.029199  4180 solver.cpp:203]     Train net output #0: loss = 0.790602 (* 1 = 0.790602 loss)
I0317 07:26:34.029211  4180 solver.cpp:449] Iteration 37480, lr = 0.0005
I0317 07:31:59.394441  4180 solver.cpp:188] Iteration 37520, loss = 0.760908
I0317 07:31:59.394562  4180 solver.cpp:203]     Train net output #0: loss = 0.760908 (* 1 = 0.760908 loss)
I0317 07:31:59.394573  4180 solver.cpp:449] Iteration 37520, lr = 0.0005
I0317 07:37:36.050055  4180 solver.cpp:188] Iteration 37560, loss = 0.720254
I0317 07:37:36.050181  4180 solver.cpp:203]     Train net output #0: loss = 0.720254 (* 1 = 0.720254 loss)
I0317 07:37:36.050201  4180 solver.cpp:449] Iteration 37560, lr = 0.0005
I0317 07:43:14.826277  4180 solver.cpp:188] Iteration 37600, loss = 0.714396
I0317 07:43:14.826380  4180 solver.cpp:203]     Train net output #0: loss = 0.714396 (* 1 = 0.714396 loss)
I0317 07:43:14.826390  4180 solver.cpp:449] Iteration 37600, lr = 0.0005
I0317 07:48:53.032325  4180 solver.cpp:188] Iteration 37640, loss = 0.766685
I0317 07:48:53.032429  4180 solver.cpp:203]     Train net output #0: loss = 0.766685 (* 1 = 0.766685 loss)
I0317 07:48:53.032440  4180 solver.cpp:449] Iteration 37640, lr = 0.0005
I0317 07:54:28.404808  4180 solver.cpp:188] Iteration 37680, loss = 0.77103
I0317 07:54:28.404912  4180 solver.cpp:203]     Train net output #0: loss = 0.77103 (* 1 = 0.77103 loss)
I0317 07:54:28.404923  4180 solver.cpp:449] Iteration 37680, lr = 0.0005
I0317 08:00:05.393425  4180 solver.cpp:188] Iteration 37720, loss = 0.826139
I0317 08:00:05.393535  4180 solver.cpp:203]     Train net output #0: loss = 0.826139 (* 1 = 0.826139 loss)
I0317 08:00:05.393546  4180 solver.cpp:449] Iteration 37720, lr = 0.0005
I0317 08:05:37.066900  4180 solver.cpp:188] Iteration 37760, loss = 0.847245
I0317 08:05:37.066979  4180 solver.cpp:203]     Train net output #0: loss = 0.847245 (* 1 = 0.847245 loss)
I0317 08:05:37.066990  4180 solver.cpp:449] Iteration 37760, lr = 0.0005
I0317 08:11:19.181259  4180 solver.cpp:188] Iteration 37800, loss = 0.878322
I0317 08:11:19.181380  4180 solver.cpp:203]     Train net output #0: loss = 0.878322 (* 1 = 0.878322 loss)
I0317 08:11:19.181391  4180 solver.cpp:449] Iteration 37800, lr = 0.0005
I0317 08:17:01.073725  4180 solver.cpp:188] Iteration 37840, loss = 0.679075
I0317 08:17:01.073858  4180 solver.cpp:203]     Train net output #0: loss = 0.679075 (* 1 = 0.679075 loss)
I0317 08:17:01.073868  4180 solver.cpp:449] Iteration 37840, lr = 0.0005
I0317 08:22:43.448595  4180 solver.cpp:188] Iteration 37880, loss = 0.802723
I0317 08:22:43.448724  4180 solver.cpp:203]     Train net output #0: loss = 0.802723 (* 1 = 0.802723 loss)
I0317 08:22:43.448735  4180 solver.cpp:449] Iteration 37880, lr = 0.0005
I0317 08:28:24.228054  4180 solver.cpp:188] Iteration 37920, loss = 0.780113
I0317 08:28:24.228175  4180 solver.cpp:203]     Train net output #0: loss = 0.780113 (* 1 = 0.780113 loss)
I0317 08:28:24.228186  4180 solver.cpp:449] Iteration 37920, lr = 0.0005
I0317 08:33:58.184588  4180 solver.cpp:188] Iteration 37960, loss = 0.786907
I0317 08:33:58.184710  4180 solver.cpp:203]     Train net output #0: loss = 0.786907 (* 1 = 0.786907 loss)
I0317 08:33:58.184721  4180 solver.cpp:449] Iteration 37960, lr = 0.0005
I0317 08:39:29.814064  4180 solver.cpp:188] Iteration 38000, loss = 0.710707
I0317 08:39:29.814219  4180 solver.cpp:203]     Train net output #0: loss = 0.710707 (* 1 = 0.710707 loss)
I0317 08:39:29.814230  4180 solver.cpp:449] Iteration 38000, lr = 0.0005
I0317 08:45:02.609845  4180 solver.cpp:188] Iteration 38040, loss = 0.752624
I0317 08:45:02.609971  4180 solver.cpp:203]     Train net output #0: loss = 0.752624 (* 1 = 0.752624 loss)
I0317 08:45:02.609982  4180 solver.cpp:449] Iteration 38040, lr = 0.0005
I0317 08:50:33.123859  4180 solver.cpp:188] Iteration 38080, loss = 0.832741
I0317 08:50:33.123975  4180 solver.cpp:203]     Train net output #0: loss = 0.832741 (* 1 = 0.832741 loss)
I0317 08:50:33.123987  4180 solver.cpp:449] Iteration 38080, lr = 0.0005
I0317 08:56:07.113589  4180 solver.cpp:188] Iteration 38120, loss = 0.841119
I0317 08:56:07.113719  4180 solver.cpp:203]     Train net output #0: loss = 0.841119 (* 1 = 0.841119 loss)
I0317 08:56:07.113730  4180 solver.cpp:449] Iteration 38120, lr = 0.0005
I0317 09:01:39.846789  4180 solver.cpp:188] Iteration 38160, loss = 0.875916
I0317 09:01:39.846920  4180 solver.cpp:203]     Train net output #0: loss = 0.875916 (* 1 = 0.875916 loss)
I0317 09:01:39.846930  4180 solver.cpp:449] Iteration 38160, lr = 0.0005
I0317 09:07:12.453377  4180 solver.cpp:188] Iteration 38200, loss = 0.827115
I0317 09:07:12.453490  4180 solver.cpp:203]     Train net output #0: loss = 0.827115 (* 1 = 0.827115 loss)
I0317 09:07:12.453511  4180 solver.cpp:449] Iteration 38200, lr = 0.0005
I0317 09:12:45.525668  4180 solver.cpp:188] Iteration 38240, loss = 0.811694
I0317 09:12:45.525804  4180 solver.cpp:203]     Train net output #0: loss = 0.811694 (* 1 = 0.811694 loss)
I0317 09:12:45.525815  4180 solver.cpp:449] Iteration 38240, lr = 0.0005
I0317 09:18:31.174975  4180 solver.cpp:188] Iteration 38280, loss = 0.894385
I0317 09:18:31.175101  4180 solver.cpp:203]     Train net output #0: loss = 0.894385 (* 1 = 0.894385 loss)
I0317 09:18:31.175112  4180 solver.cpp:449] Iteration 38280, lr = 0.0005
I0317 09:24:13.100565  4180 solver.cpp:188] Iteration 38320, loss = 0.670844
I0317 09:24:13.100693  4180 solver.cpp:203]     Train net output #0: loss = 0.670844 (* 1 = 0.670844 loss)
I0317 09:24:13.100704  4180 solver.cpp:449] Iteration 38320, lr = 0.0005
I0317 09:29:56.936247  4180 solver.cpp:188] Iteration 38360, loss = 0.792105
I0317 09:29:56.936369  4180 solver.cpp:203]     Train net output #0: loss = 0.792105 (* 1 = 0.792105 loss)
I0317 09:29:56.936391  4180 solver.cpp:449] Iteration 38360, lr = 0.0005
I0317 09:35:42.862403  4180 solver.cpp:188] Iteration 38400, loss = 0.77673
I0317 09:35:42.862521  4180 solver.cpp:203]     Train net output #0: loss = 0.77673 (* 1 = 0.77673 loss)
I0317 09:35:42.862532  4180 solver.cpp:449] Iteration 38400, lr = 0.0005
I0317 09:41:24.254546  4180 solver.cpp:188] Iteration 38440, loss = 0.801418
I0317 09:41:24.254665  4180 solver.cpp:203]     Train net output #0: loss = 0.801418 (* 1 = 0.801418 loss)
I0317 09:41:24.254676  4180 solver.cpp:449] Iteration 38440, lr = 0.0005
I0317 09:47:06.976982  4180 solver.cpp:188] Iteration 38480, loss = 0.677588
I0317 09:47:06.977121  4180 solver.cpp:203]     Train net output #0: loss = 0.677588 (* 1 = 0.677588 loss)
I0317 09:47:06.977136  4180 solver.cpp:449] Iteration 38480, lr = 0.0005
I0317 09:52:53.672747  4180 solver.cpp:188] Iteration 38520, loss = 0.797676
I0317 09:52:53.672883  4180 solver.cpp:203]     Train net output #0: loss = 0.797676 (* 1 = 0.797676 loss)
I0317 09:52:53.672894  4180 solver.cpp:449] Iteration 38520, lr = 0.0005
I0317 09:58:40.579038  4180 solver.cpp:188] Iteration 38560, loss = 0.770377
I0317 09:58:40.579130  4180 solver.cpp:203]     Train net output #0: loss = 0.770377 (* 1 = 0.770377 loss)
I0317 09:58:40.579140  4180 solver.cpp:449] Iteration 38560, lr = 0.0005
I0317 10:04:21.893167  4180 solver.cpp:188] Iteration 38600, loss = 0.740633
I0317 10:04:21.893285  4180 solver.cpp:203]     Train net output #0: loss = 0.740633 (* 1 = 0.740633 loss)
I0317 10:04:21.893295  4180 solver.cpp:449] Iteration 38600, lr = 0.0005
I0317 10:10:05.894794  4180 solver.cpp:188] Iteration 38640, loss = 0.817609
I0317 10:10:05.894945  4180 solver.cpp:203]     Train net output #0: loss = 0.817609 (* 1 = 0.817609 loss)
I0317 10:10:05.894969  4180 solver.cpp:449] Iteration 38640, lr = 0.0005
I0317 10:15:49.088636  4180 solver.cpp:188] Iteration 38680, loss = 0.851651
I0317 10:15:49.088773  4180 solver.cpp:203]     Train net output #0: loss = 0.851651 (* 1 = 0.851651 loss)
I0317 10:15:49.088794  4180 solver.cpp:449] Iteration 38680, lr = 0.0005
I0317 10:21:34.111037  4180 solver.cpp:188] Iteration 38720, loss = 0.916421
I0317 10:21:34.111166  4180 solver.cpp:203]     Train net output #0: loss = 0.916421 (* 1 = 0.916421 loss)
I0317 10:21:34.111176  4180 solver.cpp:449] Iteration 38720, lr = 0.0005
I0317 10:27:23.468432  4180 solver.cpp:188] Iteration 38760, loss = 0.811739
I0317 10:27:23.468572  4180 solver.cpp:203]     Train net output #0: loss = 0.811739 (* 1 = 0.811739 loss)
I0317 10:27:23.468583  4180 solver.cpp:449] Iteration 38760, lr = 0.0005
I0317 10:34:16.337445  4180 solver.cpp:188] Iteration 38800, loss = 0.72505
I0317 10:34:16.337565  4180 solver.cpp:203]     Train net output #0: loss = 0.72505 (* 1 = 0.72505 loss)
I0317 10:34:16.337576  4180 solver.cpp:449] Iteration 38800, lr = 0.0005
I0317 10:40:34.953776  4180 solver.cpp:188] Iteration 38840, loss = 0.821954
I0317 10:40:34.953893  4180 solver.cpp:203]     Train net output #0: loss = 0.821954 (* 1 = 0.821954 loss)
I0317 10:40:34.953904  4180 solver.cpp:449] Iteration 38840, lr = 0.0005
I0317 10:46:06.835767  4180 solver.cpp:188] Iteration 38880, loss = 0.911403
I0317 10:46:06.835894  4180 solver.cpp:203]     Train net output #0: loss = 0.911403 (* 1 = 0.911403 loss)
I0317 10:46:06.835916  4180 solver.cpp:449] Iteration 38880, lr = 0.0005
I0317 10:51:38.487021  4180 solver.cpp:188] Iteration 38920, loss = 0.843017
I0317 10:51:38.487138  4180 solver.cpp:203]     Train net output #0: loss = 0.843017 (* 1 = 0.843017 loss)
I0317 10:51:38.487153  4180 solver.cpp:449] Iteration 38920, lr = 0.0005
I0317 10:57:32.029041  4180 solver.cpp:188] Iteration 38960, loss = 0.907761
I0317 10:57:32.029168  4180 solver.cpp:203]     Train net output #0: loss = 0.907761 (* 1 = 0.907761 loss)
I0317 10:57:32.029196  4180 solver.cpp:449] Iteration 38960, lr = 0.0005
I0317 11:03:24.426432  4180 solver.cpp:188] Iteration 39000, loss = 0.781474
I0317 11:03:24.426537  4180 solver.cpp:203]     Train net output #0: loss = 0.781474 (* 1 = 0.781474 loss)
I0317 11:03:24.426559  4180 solver.cpp:449] Iteration 39000, lr = 0.0005
I0317 11:09:24.919247  4180 solver.cpp:188] Iteration 39040, loss = 0.78442
I0317 11:09:24.919368  4180 solver.cpp:203]     Train net output #0: loss = 0.78442 (* 1 = 0.78442 loss)
I0317 11:09:24.919378  4180 solver.cpp:449] Iteration 39040, lr = 0.0005
I0317 11:16:12.033218  4180 solver.cpp:188] Iteration 39080, loss = 0.908588
I0317 11:16:12.033339  4180 solver.cpp:203]     Train net output #0: loss = 0.908588 (* 1 = 0.908588 loss)
I0317 11:16:12.033350  4180 solver.cpp:449] Iteration 39080, lr = 0.0005
I0317 11:22:29.662462  4180 solver.cpp:188] Iteration 39120, loss = 0.926254
I0317 11:22:29.662580  4180 solver.cpp:203]     Train net output #0: loss = 0.926254 (* 1 = 0.926254 loss)
I0317 11:22:29.662591  4180 solver.cpp:449] Iteration 39120, lr = 0.0005
I0317 11:28:29.438941  4180 solver.cpp:188] Iteration 39160, loss = 0.950683
I0317 11:28:29.439208  4180 solver.cpp:203]     Train net output #0: loss = 0.950683 (* 1 = 0.950683 loss)
I0317 11:28:29.439220  4180 solver.cpp:449] Iteration 39160, lr = 0.0005
I0317 11:34:16.463986  4180 solver.cpp:188] Iteration 39200, loss = 0.863169
I0317 11:34:16.464123  4180 solver.cpp:203]     Train net output #0: loss = 0.863169 (* 1 = 0.863169 loss)
I0317 11:34:16.464134  4180 solver.cpp:449] Iteration 39200, lr = 0.0005
I0317 11:40:05.159173  4180 solver.cpp:188] Iteration 39240, loss = 0.819969
I0317 11:40:05.159306  4180 solver.cpp:203]     Train net output #0: loss = 0.819969 (* 1 = 0.819969 loss)
I0317 11:40:05.159327  4180 solver.cpp:449] Iteration 39240, lr = 0.0005
I0317 11:45:48.516253  4180 solver.cpp:188] Iteration 39280, loss = 0.779386
I0317 11:45:48.516408  4180 solver.cpp:203]     Train net output #0: loss = 0.779386 (* 1 = 0.779386 loss)
I0317 11:45:48.516420  4180 solver.cpp:449] Iteration 39280, lr = 0.0005
I0317 11:51:36.054565  4180 solver.cpp:188] Iteration 39320, loss = 0.744934
I0317 11:51:36.054692  4180 solver.cpp:203]     Train net output #0: loss = 0.744934 (* 1 = 0.744934 loss)
I0317 11:51:36.054703  4180 solver.cpp:449] Iteration 39320, lr = 0.0005
I0317 11:57:27.744946  4180 solver.cpp:188] Iteration 39360, loss = 0.767814
I0317 11:57:27.745048  4180 solver.cpp:203]     Train net output #0: loss = 0.767814 (* 1 = 0.767814 loss)
I0317 11:57:27.745064  4180 solver.cpp:449] Iteration 39360, lr = 0.0005
I0317 12:03:25.812412  4180 solver.cpp:188] Iteration 39400, loss = 0.949705
I0317 12:03:25.812540  4180 solver.cpp:203]     Train net output #0: loss = 0.949705 (* 1 = 0.949705 loss)
I0317 12:03:25.812551  4180 solver.cpp:449] Iteration 39400, lr = 0.0005
I0317 12:09:13.254951  4180 solver.cpp:188] Iteration 39440, loss = 0.899657
I0317 12:09:13.255059  4180 solver.cpp:203]     Train net output #0: loss = 0.899657 (* 1 = 0.899657 loss)
I0317 12:09:13.255079  4180 solver.cpp:449] Iteration 39440, lr = 0.0005
I0317 12:14:56.875102  4180 solver.cpp:188] Iteration 39480, loss = 0.840702
I0317 12:14:56.875316  4180 solver.cpp:203]     Train net output #0: loss = 0.840702 (* 1 = 0.840702 loss)
I0317 12:14:56.875329  4180 solver.cpp:449] Iteration 39480, lr = 0.0005
I0317 12:20:46.039654  4180 solver.cpp:188] Iteration 39520, loss = 0.800073
I0317 12:20:46.039764  4180 solver.cpp:203]     Train net output #0: loss = 0.800073 (* 1 = 0.800073 loss)
I0317 12:20:46.039775  4180 solver.cpp:449] Iteration 39520, lr = 0.0005
I0317 12:26:32.468940  4180 solver.cpp:188] Iteration 39560, loss = 0.888061
I0317 12:26:32.469081  4180 solver.cpp:203]     Train net output #0: loss = 0.888061 (* 1 = 0.888061 loss)
I0317 12:26:32.469092  4180 solver.cpp:449] Iteration 39560, lr = 0.0005
I0317 12:32:19.658376  4180 solver.cpp:188] Iteration 39600, loss = 0.747187
I0317 12:32:19.658504  4180 solver.cpp:203]     Train net output #0: loss = 0.747187 (* 1 = 0.747187 loss)
I0317 12:32:19.658514  4180 solver.cpp:449] Iteration 39600, lr = 0.0005
I0317 12:38:06.392781  4180 solver.cpp:188] Iteration 39640, loss = 0.866248
I0317 12:38:06.392918  4180 solver.cpp:203]     Train net output #0: loss = 0.866248 (* 1 = 0.866248 loss)
I0317 12:38:06.392946  4180 solver.cpp:449] Iteration 39640, lr = 0.0005
I0317 12:44:01.004946  4180 solver.cpp:188] Iteration 39680, loss = 0.864521
I0317 12:44:01.005066  4180 solver.cpp:203]     Train net output #0: loss = 0.864521 (* 1 = 0.864521 loss)
I0317 12:44:01.005086  4180 solver.cpp:449] Iteration 39680, lr = 0.0005
I0317 12:49:54.616859  4180 solver.cpp:188] Iteration 39720, loss = 0.865388
I0317 12:49:54.616976  4180 solver.cpp:203]     Train net output #0: loss = 0.865388 (* 1 = 0.865388 loss)
I0317 12:49:54.616997  4180 solver.cpp:449] Iteration 39720, lr = 0.0005
I0317 12:55:42.463078  4180 solver.cpp:188] Iteration 39760, loss = 0.829921
I0317 12:55:42.463217  4180 solver.cpp:203]     Train net output #0: loss = 0.829921 (* 1 = 0.829921 loss)
I0317 12:55:42.463227  4180 solver.cpp:449] Iteration 39760, lr = 0.0005
I0317 13:01:28.824983  4180 solver.cpp:188] Iteration 39800, loss = 0.808653
I0317 13:01:28.825116  4180 solver.cpp:203]     Train net output #0: loss = 0.808653 (* 1 = 0.808653 loss)
I0317 13:01:28.825127  4180 solver.cpp:449] Iteration 39800, lr = 0.0005
I0317 13:07:16.180150  4180 solver.cpp:188] Iteration 39840, loss = 0.924291
I0317 13:07:16.180240  4180 solver.cpp:203]     Train net output #0: loss = 0.924291 (* 1 = 0.924291 loss)
I0317 13:07:16.180250  4180 solver.cpp:449] Iteration 39840, lr = 0.0005
I0317 13:13:02.965767  4180 solver.cpp:188] Iteration 39880, loss = 0.862995
I0317 13:13:02.965886  4180 solver.cpp:203]     Train net output #0: loss = 0.862995 (* 1 = 0.862995 loss)
I0317 13:13:02.965908  4180 solver.cpp:449] Iteration 39880, lr = 0.0005
I0317 13:18:47.772645  4180 solver.cpp:188] Iteration 39920, loss = 0.832981
I0317 13:18:47.772795  4180 solver.cpp:203]     Train net output #0: loss = 0.832981 (* 1 = 0.832981 loss)
I0317 13:18:47.772807  4180 solver.cpp:449] Iteration 39920, lr = 0.0005
I0317 13:24:32.292181  4180 solver.cpp:188] Iteration 39960, loss = 0.795553
I0317 13:24:32.292333  4180 solver.cpp:203]     Train net output #0: loss = 0.795553 (* 1 = 0.795553 loss)
I0317 13:24:32.292348  4180 solver.cpp:449] Iteration 39960, lr = 0.0005
I0317 13:30:08.027384  4180 solver.cpp:337] Snapshotting to cache/flic/flic_iter_40000.caffemodel
I0317 13:30:09.008180  4180 solver.cpp:345] Snapshotting solver state to cache/flic/flic_iter_40000.solverstate
I0317 13:30:09.396458  4180 solver.cpp:266] Iteration 40000, Testing net (#0)
I0317 13:31:34.464756  4180 solver.cpp:317]     Test net output #0: accuracy = 0.688
I0317 13:31:34.464859  4180 solver.cpp:317]     Test net output #1: loss = 0.935625 (* 1 = 0.935625 loss)
I0317 13:31:34.580517  4180 solver.cpp:188] Iteration 40000, loss = 0.901088
I0317 13:31:34.580555  4180 solver.cpp:203]     Train net output #0: loss = 0.901088 (* 1 = 0.901088 loss)
I0317 13:31:34.580566  4180 solver.cpp:449] Iteration 40000, lr = 5e-05
I0317 13:37:32.392400  4180 solver.cpp:188] Iteration 40040, loss = 0.883366
I0317 13:37:32.392527  4180 solver.cpp:203]     Train net output #0: loss = 0.883366 (* 1 = 0.883366 loss)
I0317 13:37:32.392539  4180 solver.cpp:449] Iteration 40040, lr = 5e-05
I0317 13:43:28.497032  4180 solver.cpp:188] Iteration 40080, loss = 0.812107
I0317 13:43:28.497161  4180 solver.cpp:203]     Train net output #0: loss = 0.812107 (* 1 = 0.812107 loss)
I0317 13:43:28.497172  4180 solver.cpp:449] Iteration 40080, lr = 5e-05
I0317 13:49:28.571208  4180 solver.cpp:188] Iteration 40120, loss = 0.922386
I0317 13:49:28.571310  4180 solver.cpp:203]     Train net output #0: loss = 0.922386 (* 1 = 0.922386 loss)
I0317 13:49:28.571326  4180 solver.cpp:449] Iteration 40120, lr = 5e-05
I0317 13:56:10.236114  4180 solver.cpp:188] Iteration 40160, loss = 0.899081
I0317 13:56:10.236621  4180 solver.cpp:203]     Train net output #0: loss = 0.899081 (* 1 = 0.899081 loss)
I0317 13:56:10.236641  4180 solver.cpp:449] Iteration 40160, lr = 5e-05
I0317 14:03:49.221896  4180 solver.cpp:188] Iteration 40200, loss = 0.76533
I0317 14:03:49.222028  4180 solver.cpp:203]     Train net output #0: loss = 0.76533 (* 1 = 0.76533 loss)
I0317 14:03:49.222043  4180 solver.cpp:449] Iteration 40200, lr = 5e-05
I0317 14:10:17.677889  4180 solver.cpp:188] Iteration 40240, loss = 0.779941
I0317 14:10:17.678027  4180 solver.cpp:203]     Train net output #0: loss = 0.779941 (* 1 = 0.779941 loss)
I0317 14:10:17.678045  4180 solver.cpp:449] Iteration 40240, lr = 5e-05
I0317 14:16:27.795287  4180 solver.cpp:188] Iteration 40280, loss = 0.896554
I0317 14:16:27.795410  4180 solver.cpp:203]     Train net output #0: loss = 0.896554 (* 1 = 0.896554 loss)
I0317 14:16:27.795423  4180 solver.cpp:449] Iteration 40280, lr = 5e-05
I0317 14:22:34.731086  4180 solver.cpp:188] Iteration 40320, loss = 0.854004
I0317 14:22:34.731230  4180 solver.cpp:203]     Train net output #0: loss = 0.854004 (* 1 = 0.854004 loss)
I0317 14:22:34.731247  4180 solver.cpp:449] Iteration 40320, lr = 5e-05
I0317 14:28:36.799301  4180 solver.cpp:188] Iteration 40360, loss = 0.670661
I0317 14:28:36.799458  4180 solver.cpp:203]     Train net output #0: loss = 0.670661 (* 1 = 0.670661 loss)
I0317 14:28:36.799469  4180 solver.cpp:449] Iteration 40360, lr = 5e-05
I0317 14:34:46.319037  4180 solver.cpp:188] Iteration 40400, loss = 0.772514
I0317 14:34:46.319171  4180 solver.cpp:203]     Train net output #0: loss = 0.772514 (* 1 = 0.772514 loss)
I0317 14:34:46.319193  4180 solver.cpp:449] Iteration 40400, lr = 5e-05
I0317 14:40:47.694712  4180 solver.cpp:188] Iteration 40440, loss = 0.779807
I0317 14:40:47.694855  4180 solver.cpp:203]     Train net output #0: loss = 0.779807 (* 1 = 0.779807 loss)
I0317 14:40:47.694874  4180 solver.cpp:449] Iteration 40440, lr = 5e-05
I0317 14:46:50.753368  4180 solver.cpp:188] Iteration 40480, loss = 0.72334
I0317 14:46:50.753550  4180 solver.cpp:203]     Train net output #0: loss = 0.72334 (* 1 = 0.72334 loss)
I0317 14:46:50.753563  4180 solver.cpp:449] Iteration 40480, lr = 5e-05
I0317 14:52:56.745247  4180 solver.cpp:188] Iteration 40520, loss = 0.816829
I0317 14:52:56.745353  4180 solver.cpp:203]     Train net output #0: loss = 0.816829 (* 1 = 0.816829 loss)
I0317 14:52:56.745364  4180 solver.cpp:449] Iteration 40520, lr = 5e-05
I0317 14:59:02.217439  4180 solver.cpp:188] Iteration 40560, loss = 0.845536
I0317 14:59:02.217562  4180 solver.cpp:203]     Train net output #0: loss = 0.845536 (* 1 = 0.845536 loss)
I0317 14:59:02.217573  4180 solver.cpp:449] Iteration 40560, lr = 5e-05
I0317 15:05:03.263300  4180 solver.cpp:188] Iteration 40600, loss = 0.813669
I0317 15:05:03.263393  4180 solver.cpp:203]     Train net output #0: loss = 0.813669 (* 1 = 0.813669 loss)
I0317 15:05:03.263406  4180 solver.cpp:449] Iteration 40600, lr = 5e-05
I0317 15:11:12.856175  4180 solver.cpp:188] Iteration 40640, loss = 0.768571
I0317 15:11:12.856324  4180 solver.cpp:203]     Train net output #0: loss = 0.768571 (* 1 = 0.768571 loss)
I0317 15:11:12.856336  4180 solver.cpp:449] Iteration 40640, lr = 5e-05
I0317 15:17:20.474573  4180 solver.cpp:188] Iteration 40680, loss = 0.795017
I0317 15:17:20.474741  4180 solver.cpp:203]     Train net output #0: loss = 0.795017 (* 1 = 0.795017 loss)
I0317 15:17:20.474766  4180 solver.cpp:449] Iteration 40680, lr = 5e-05
I0317 15:23:29.335126  4180 solver.cpp:188] Iteration 40720, loss = 0.840929
I0317 15:23:29.335242  4180 solver.cpp:203]     Train net output #0: loss = 0.840929 (* 1 = 0.840929 loss)
I0317 15:23:29.335268  4180 solver.cpp:449] Iteration 40720, lr = 5e-05
I0317 15:29:31.482944  4180 solver.cpp:188] Iteration 40760, loss = 0.786934
I0317 15:29:31.483075  4180 solver.cpp:203]     Train net output #0: loss = 0.786934 (* 1 = 0.786934 loss)
I0317 15:29:31.483088  4180 solver.cpp:449] Iteration 40760, lr = 5e-05
I0317 15:35:33.457257  4180 solver.cpp:188] Iteration 40800, loss = 0.89229
I0317 15:35:33.457345  4180 solver.cpp:203]     Train net output #0: loss = 0.89229 (* 1 = 0.89229 loss)
I0317 15:35:33.457360  4180 solver.cpp:449] Iteration 40800, lr = 5e-05
I0317 15:41:19.830194  4180 solver.cpp:188] Iteration 40840, loss = 0.775217
I0317 15:41:19.830307  4180 solver.cpp:203]     Train net output #0: loss = 0.775217 (* 1 = 0.775217 loss)
I0317 15:41:19.830318  4180 solver.cpp:449] Iteration 40840, lr = 5e-05
I0317 15:47:07.917734  4180 solver.cpp:188] Iteration 40880, loss = 0.823754
I0317 15:47:07.917863  4180 solver.cpp:203]     Train net output #0: loss = 0.823754 (* 1 = 0.823754 loss)
I0317 15:47:07.917876  4180 solver.cpp:449] Iteration 40880, lr = 5e-05
I0317 15:52:58.194927  4180 solver.cpp:188] Iteration 40920, loss = 0.82369
I0317 15:52:58.195070  4180 solver.cpp:203]     Train net output #0: loss = 0.82369 (* 1 = 0.82369 loss)
I0317 15:52:58.195082  4180 solver.cpp:449] Iteration 40920, lr = 5e-05
I0317 15:58:44.247323  4180 solver.cpp:188] Iteration 40960, loss = 0.780748
I0317 15:58:44.247423  4180 solver.cpp:203]     Train net output #0: loss = 0.780748 (* 1 = 0.780748 loss)
I0317 15:58:44.247454  4180 solver.cpp:449] Iteration 40960, lr = 5e-05
I0317 16:04:34.248314  4180 solver.cpp:188] Iteration 41000, loss = 0.826867
I0317 16:04:34.248401  4180 solver.cpp:203]     Train net output #0: loss = 0.826867 (* 1 = 0.826867 loss)
I0317 16:04:34.248412  4180 solver.cpp:449] Iteration 41000, lr = 5e-05
I0317 16:10:33.947718  4180 solver.cpp:188] Iteration 41040, loss = 0.749239
I0317 16:10:33.947913  4180 solver.cpp:203]     Train net output #0: loss = 0.749239 (* 1 = 0.749239 loss)
I0317 16:10:33.947926  4180 solver.cpp:449] Iteration 41040, lr = 5e-05
I0317 16:16:32.362881  4180 solver.cpp:188] Iteration 41080, loss = 0.891514
I0317 16:16:32.363001  4180 solver.cpp:203]     Train net output #0: loss = 0.891514 (* 1 = 0.891514 loss)
I0317 16:16:32.363013  4180 solver.cpp:449] Iteration 41080, lr = 5e-05
I0317 16:22:28.747395  4180 solver.cpp:188] Iteration 41120, loss = 0.689814
I0317 16:22:28.747545  4180 solver.cpp:203]     Train net output #0: loss = 0.689814 (* 1 = 0.689814 loss)
I0317 16:22:28.747557  4180 solver.cpp:449] Iteration 41120, lr = 5e-05
I0317 16:28:20.642933  4180 solver.cpp:188] Iteration 41160, loss = 0.902144
I0317 16:28:20.643071  4180 solver.cpp:203]     Train net output #0: loss = 0.902144 (* 1 = 0.902144 loss)
I0317 16:28:20.643082  4180 solver.cpp:449] Iteration 41160, lr = 5e-05
I0317 16:34:08.955062  4180 solver.cpp:188] Iteration 41200, loss = 0.711404
I0317 16:34:08.955175  4180 solver.cpp:203]     Train net output #0: loss = 0.711404 (* 1 = 0.711404 loss)
I0317 16:34:08.955186  4180 solver.cpp:449] Iteration 41200, lr = 5e-05
I0317 16:39:58.016600  4180 solver.cpp:188] Iteration 41240, loss = 0.741963
I0317 16:39:58.016721  4180 solver.cpp:203]     Train net output #0: loss = 0.741963 (* 1 = 0.741963 loss)
I0317 16:39:58.016732  4180 solver.cpp:449] Iteration 41240, lr = 5e-05
I0317 16:45:44.679750  4180 solver.cpp:188] Iteration 41280, loss = 0.747464
I0317 16:45:44.679875  4180 solver.cpp:203]     Train net output #0: loss = 0.747464 (* 1 = 0.747464 loss)
I0317 16:45:44.679886  4180 solver.cpp:449] Iteration 41280, lr = 5e-05
I0317 16:51:39.635803  4180 solver.cpp:188] Iteration 41320, loss = 0.839602
I0317 16:51:39.635922  4180 solver.cpp:203]     Train net output #0: loss = 0.839602 (* 1 = 0.839602 loss)
I0317 16:51:39.635933  4180 solver.cpp:449] Iteration 41320, lr = 5e-05
I0317 16:57:30.995167  4180 solver.cpp:188] Iteration 41360, loss = 0.862072
I0317 16:57:30.995280  4180 solver.cpp:203]     Train net output #0: loss = 0.862072 (* 1 = 0.862072 loss)
I0317 16:57:30.995300  4180 solver.cpp:449] Iteration 41360, lr = 5e-05
I0317 17:03:22.132205  4180 solver.cpp:188] Iteration 41400, loss = 0.794355
I0317 17:03:22.132329  4180 solver.cpp:203]     Train net output #0: loss = 0.794355 (* 1 = 0.794355 loss)
I0317 17:03:22.132340  4180 solver.cpp:449] Iteration 41400, lr = 5e-05
I0317 17:09:14.713093  4180 solver.cpp:188] Iteration 41440, loss = 0.710948
I0317 17:09:14.713220  4180 solver.cpp:203]     Train net output #0: loss = 0.710948 (* 1 = 0.710948 loss)
I0317 17:09:14.713235  4180 solver.cpp:449] Iteration 41440, lr = 5e-05
I0317 17:15:09.201266  4180 solver.cpp:188] Iteration 41480, loss = 0.710043
I0317 17:15:09.201381  4180 solver.cpp:203]     Train net output #0: loss = 0.710043 (* 1 = 0.710043 loss)
I0317 17:15:09.201402  4180 solver.cpp:449] Iteration 41480, lr = 5e-05
I0317 17:21:07.363144  4180 solver.cpp:188] Iteration 41520, loss = 0.718011
I0317 17:21:07.363288  4180 solver.cpp:203]     Train net output #0: loss = 0.718011 (* 1 = 0.718011 loss)
I0317 17:21:07.363301  4180 solver.cpp:449] Iteration 41520, lr = 5e-05
I0317 17:27:06.671979  4180 solver.cpp:188] Iteration 41560, loss = 0.645419
I0317 17:27:06.672062  4180 solver.cpp:203]     Train net output #0: loss = 0.645419 (* 1 = 0.645419 loss)
I0317 17:27:06.672072  4180 solver.cpp:449] Iteration 41560, lr = 5e-05
I0317 17:33:06.265974  4180 solver.cpp:188] Iteration 41600, loss = 0.683974
I0317 17:33:06.266093  4180 solver.cpp:203]     Train net output #0: loss = 0.683974 (* 1 = 0.683974 loss)
I0317 17:33:06.266104  4180 solver.cpp:449] Iteration 41600, lr = 5e-05
I0317 17:39:02.433105  4180 solver.cpp:188] Iteration 41640, loss = 0.766726
I0317 17:39:02.433213  4180 solver.cpp:203]     Train net output #0: loss = 0.766726 (* 1 = 0.766726 loss)
I0317 17:39:02.433235  4180 solver.cpp:449] Iteration 41640, lr = 5e-05
I0317 17:44:54.464704  4180 solver.cpp:188] Iteration 41680, loss = 0.723317
I0317 17:44:54.464815  4180 solver.cpp:203]     Train net output #0: loss = 0.723317 (* 1 = 0.723317 loss)
I0317 17:44:54.464826  4180 solver.cpp:449] Iteration 41680, lr = 5e-05
I0317 17:50:47.120275  4180 solver.cpp:188] Iteration 41720, loss = 0.623133
I0317 17:50:47.120395  4180 solver.cpp:203]     Train net output #0: loss = 0.623133 (* 1 = 0.623133 loss)
I0317 17:50:47.120406  4180 solver.cpp:449] Iteration 41720, lr = 5e-05
I0317 17:56:41.298910  4180 solver.cpp:188] Iteration 41760, loss = 0.761984
I0317 17:56:41.299059  4180 solver.cpp:203]     Train net output #0: loss = 0.761984 (* 1 = 0.761984 loss)
I0317 17:56:41.299073  4180 solver.cpp:449] Iteration 41760, lr = 5e-05
I0317 18:02:35.387317  4180 solver.cpp:188] Iteration 41800, loss = 0.728435
I0317 18:02:35.387444  4180 solver.cpp:203]     Train net output #0: loss = 0.728435 (* 1 = 0.728435 loss)
I0317 18:02:35.387454  4180 solver.cpp:449] Iteration 41800, lr = 5e-05
I0317 18:08:29.142619  4180 solver.cpp:188] Iteration 41840, loss = 0.667573
I0317 18:08:29.142747  4180 solver.cpp:203]     Train net output #0: loss = 0.667573 (* 1 = 0.667573 loss)
I0317 18:08:29.142758  4180 solver.cpp:449] Iteration 41840, lr = 5e-05
I0317 18:14:22.258445  4180 solver.cpp:188] Iteration 41880, loss = 0.668443
I0317 18:14:22.258579  4180 solver.cpp:203]     Train net output #0: loss = 0.668443 (* 1 = 0.668443 loss)
I0317 18:14:22.258600  4180 solver.cpp:449] Iteration 41880, lr = 5e-05
I0317 18:20:16.375941  4180 solver.cpp:188] Iteration 41920, loss = 0.65795
I0317 18:20:16.376138  4180 solver.cpp:203]     Train net output #0: loss = 0.65795 (* 1 = 0.65795 loss)
I0317 18:20:16.376152  4180 solver.cpp:449] Iteration 41920, lr = 5e-05
I0317 18:26:11.085170  4180 solver.cpp:188] Iteration 41960, loss = 0.628907
I0317 18:26:11.085300  4180 solver.cpp:203]     Train net output #0: loss = 0.628907 (* 1 = 0.628907 loss)
I0317 18:26:11.085311  4180 solver.cpp:449] Iteration 41960, lr = 5e-05
I0317 18:32:19.994813  4180 solver.cpp:188] Iteration 42000, loss = 0.719098
I0317 18:32:19.994940  4180 solver.cpp:203]     Train net output #0: loss = 0.719098 (* 1 = 0.719098 loss)
I0317 18:32:19.994951  4180 solver.cpp:449] Iteration 42000, lr = 5e-05
I0317 18:38:24.265938  4180 solver.cpp:188] Iteration 42040, loss = 0.695009
I0317 18:38:24.266069  4180 solver.cpp:203]     Train net output #0: loss = 0.695009 (* 1 = 0.695009 loss)
I0317 18:38:24.266079  4180 solver.cpp:449] Iteration 42040, lr = 5e-05
I0317 18:44:25.705618  4180 solver.cpp:188] Iteration 42080, loss = 0.83673
I0317 18:44:25.705750  4180 solver.cpp:203]     Train net output #0: loss = 0.83673 (* 1 = 0.83673 loss)
I0317 18:44:25.705761  4180 solver.cpp:449] Iteration 42080, lr = 5e-05
I0317 18:50:19.917304  4180 solver.cpp:188] Iteration 42120, loss = 0.733995
I0317 18:50:19.917500  4180 solver.cpp:203]     Train net output #0: loss = 0.733995 (* 1 = 0.733995 loss)
I0317 18:50:19.917511  4180 solver.cpp:449] Iteration 42120, lr = 5e-05
I0317 18:56:13.243520  4180 solver.cpp:188] Iteration 42160, loss = 0.763495
I0317 18:56:13.244079  4180 solver.cpp:203]     Train net output #0: loss = 0.763495 (* 1 = 0.763495 loss)
I0317 18:56:13.244091  4180 solver.cpp:449] Iteration 42160, lr = 5e-05
I0317 19:02:07.613267  4180 solver.cpp:188] Iteration 42200, loss = 0.664753
I0317 19:02:07.613394  4180 solver.cpp:203]     Train net output #0: loss = 0.664753 (* 1 = 0.664753 loss)
I0317 19:02:07.613415  4180 solver.cpp:449] Iteration 42200, lr = 5e-05
I0317 19:08:01.028512  4180 solver.cpp:188] Iteration 42240, loss = 0.729499
I0317 19:08:01.028633  4180 solver.cpp:203]     Train net output #0: loss = 0.729499 (* 1 = 0.729499 loss)
I0317 19:08:01.028645  4180 solver.cpp:449] Iteration 42240, lr = 5e-05
I0317 19:13:54.348675  4180 solver.cpp:188] Iteration 42280, loss = 0.745793
I0317 19:13:54.348788  4180 solver.cpp:203]     Train net output #0: loss = 0.745793 (* 1 = 0.745793 loss)
I0317 19:13:54.348808  4180 solver.cpp:449] Iteration 42280, lr = 5e-05
I0317 19:19:49.987040  4180 solver.cpp:188] Iteration 42320, loss = 0.732838
I0317 19:19:49.987162  4180 solver.cpp:203]     Train net output #0: loss = 0.732838 (* 1 = 0.732838 loss)
I0317 19:19:49.987174  4180 solver.cpp:449] Iteration 42320, lr = 5e-05
I0317 19:25:42.775949  4180 solver.cpp:188] Iteration 42360, loss = 0.702533
I0317 19:25:42.776079  4180 solver.cpp:203]     Train net output #0: loss = 0.702533 (* 1 = 0.702533 loss)
I0317 19:25:42.776090  4180 solver.cpp:449] Iteration 42360, lr = 5e-05
I0317 19:31:37.455262  4180 solver.cpp:188] Iteration 42400, loss = 0.790805
I0317 19:31:37.455404  4180 solver.cpp:203]     Train net output #0: loss = 0.790805 (* 1 = 0.790805 loss)
I0317 19:31:37.455415  4180 solver.cpp:449] Iteration 42400, lr = 5e-05
I0317 19:37:30.784888  4180 solver.cpp:188] Iteration 42440, loss = 0.82135
I0317 19:37:30.787431  4180 solver.cpp:203]     Train net output #0: loss = 0.82135 (* 1 = 0.82135 loss)
I0317 19:37:30.787442  4180 solver.cpp:449] Iteration 42440, lr = 5e-05
I0317 19:43:39.169658  4180 solver.cpp:188] Iteration 42480, loss = 0.79543
I0317 19:43:39.169775  4180 solver.cpp:203]     Train net output #0: loss = 0.79543 (* 1 = 0.79543 loss)
I0317 19:43:39.169786  4180 solver.cpp:449] Iteration 42480, lr = 5e-05
I0317 19:49:40.802958  4180 solver.cpp:188] Iteration 42520, loss = 0.757189
I0317 19:49:40.803062  4180 solver.cpp:203]     Train net output #0: loss = 0.757189 (* 1 = 0.757189 loss)
I0317 19:49:40.803078  4180 solver.cpp:449] Iteration 42520, lr = 5e-05
I0317 19:55:39.534178  4180 solver.cpp:188] Iteration 42560, loss = 0.728318
I0317 19:55:39.534361  4180 solver.cpp:203]     Train net output #0: loss = 0.728318 (* 1 = 0.728318 loss)
I0317 19:55:39.534373  4180 solver.cpp:449] Iteration 42560, lr = 5e-05
I0317 20:01:33.238983  4180 solver.cpp:188] Iteration 42600, loss = 0.813531
I0317 20:01:33.239064  4180 solver.cpp:203]     Train net output #0: loss = 0.813531 (* 1 = 0.813531 loss)
I0317 20:01:33.239075  4180 solver.cpp:449] Iteration 42600, lr = 5e-05
I0317 20:07:24.483916  4180 solver.cpp:188] Iteration 42640, loss = 0.799772
I0317 20:07:24.484040  4180 solver.cpp:203]     Train net output #0: loss = 0.799772 (* 1 = 0.799772 loss)
I0317 20:07:24.484050  4180 solver.cpp:449] Iteration 42640, lr = 5e-05
I0317 20:13:20.033535  4180 solver.cpp:188] Iteration 42680, loss = 0.761698
I0317 20:13:20.033665  4180 solver.cpp:203]     Train net output #0: loss = 0.761698 (* 1 = 0.761698 loss)
I0317 20:13:20.033676  4180 solver.cpp:449] Iteration 42680, lr = 5e-05
I0317 20:19:16.686182  4180 solver.cpp:188] Iteration 42720, loss = 0.781012
I0317 20:19:16.686311  4180 solver.cpp:203]     Train net output #0: loss = 0.781012 (* 1 = 0.781012 loss)
I0317 20:19:16.686331  4180 solver.cpp:449] Iteration 42720, lr = 5e-05
I0317 20:25:13.000213  4180 solver.cpp:188] Iteration 42760, loss = 0.777386
I0317 20:25:13.000354  4180 solver.cpp:203]     Train net output #0: loss = 0.777386 (* 1 = 0.777386 loss)
I0317 20:25:13.000375  4180 solver.cpp:449] Iteration 42760, lr = 5e-05
I0317 20:31:07.214283  4180 solver.cpp:188] Iteration 42800, loss = 0.812036
I0317 20:31:07.214416  4180 solver.cpp:203]     Train net output #0: loss = 0.812036 (* 1 = 0.812036 loss)
I0317 20:31:07.214427  4180 solver.cpp:449] Iteration 42800, lr = 5e-05
I0317 20:37:01.473022  4180 solver.cpp:188] Iteration 42840, loss = 0.82626
I0317 20:37:01.473151  4180 solver.cpp:203]     Train net output #0: loss = 0.82626 (* 1 = 0.82626 loss)
I0317 20:37:01.473162  4180 solver.cpp:449] Iteration 42840, lr = 5e-05
I0317 20:42:57.644137  4180 solver.cpp:188] Iteration 42880, loss = 0.751826
I0317 20:42:57.644253  4180 solver.cpp:203]     Train net output #0: loss = 0.751826 (* 1 = 0.751826 loss)
I0317 20:42:57.644273  4180 solver.cpp:449] Iteration 42880, lr = 5e-05
I0317 20:48:59.437815  4180 solver.cpp:188] Iteration 42920, loss = 0.675813
I0317 20:48:59.437947  4180 solver.cpp:203]     Train net output #0: loss = 0.675813 (* 1 = 0.675813 loss)
I0328 14:27:11.128250 20480 solver.cpp:188] Iteration 43160, loss = 0.826285
I0328 14:27:11.128350 20480 solver.cpp:203]     Train net output #0: loss = 0.826285 (* 1 = 0.826285 loss)
I0328 14:27:11.128362 20480 solver.cpp:449] Iteration 43160, lr = 5e-05
I0328 14:28:58.902796 20480 solver.cpp:188] Iteration 43200, loss = 0.822958
I0328 14:28:58.902870 20480 solver.cpp:203]     Train net output #0: loss = 0.822958 (* 1 = 0.822958 loss)
I0328 14:28:58.902880 20480 solver.cpp:449] Iteration 43200, lr = 5e-05
I0328 14:30:32.689885 20480 solver.cpp:188] Iteration 43240, loss = 0.752399
I0328 14:30:32.689957 20480 solver.cpp:203]     Train net output #0: loss = 0.752399 (* 1 = 0.752399 loss)
I0328 14:30:32.689966 20480 solver.cpp:449] Iteration 43240, lr = 5e-05
I0328 14:32:05.900274 20480 solver.cpp:188] Iteration 43280, loss = 0.820768
I0328 14:32:05.900343 20480 solver.cpp:203]     Train net output #0: loss = 0.820768 (* 1 = 0.820768 loss)
I0328 14:32:05.900352 20480 solver.cpp:449] Iteration 43280, lr = 5e-05
I0328 14:33:39.262123 20480 solver.cpp:188] Iteration 43320, loss = 0.851907
I0328 14:33:39.262234 20480 solver.cpp:203]     Train net output #0: loss = 0.851907 (* 1 = 0.851907 loss)
I0328 14:33:39.262246 20480 solver.cpp:449] Iteration 43320, lr = 5e-05
I0328 14:35:10.761705 20480 solver.cpp:188] Iteration 43360, loss = 0.771102
I0328 14:35:10.761838 20480 solver.cpp:203]     Train net output #0: loss = 0.771102 (* 1 = 0.771102 loss)
I0328 14:35:10.761848 20480 solver.cpp:449] Iteration 43360, lr = 5e-05
I0328 14:36:44.079757 20480 solver.cpp:188] Iteration 43400, loss = 0.752897
I0328 14:36:44.079854 20480 solver.cpp:203]     Train net output #0: loss = 0.752897 (* 1 = 0.752897 loss)
I0328 14:36:44.079864 20480 solver.cpp:449] Iteration 43400, lr = 5e-05
I0328 14:38:16.253949 20480 solver.cpp:188] Iteration 43440, loss = 0.74241
I0328 14:38:16.254032 20480 solver.cpp:203]     Train net output #0: loss = 0.74241 (* 1 = 0.74241 loss)
I0328 14:38:16.254046 20480 solver.cpp:449] Iteration 43440, lr = 5e-05
I0328 14:39:49.882568 20480 solver.cpp:188] Iteration 43480, loss = 0.832922
I0328 14:39:49.882683 20480 solver.cpp:203]     Train net output #0: loss = 0.832922 (* 1 = 0.832922 loss)
I0328 14:39:49.882701 20480 solver.cpp:449] Iteration 43480, lr = 5e-05
I0328 14:41:23.188208 20480 solver.cpp:188] Iteration 43520, loss = 0.821159
I0328 14:41:23.188312 20480 solver.cpp:203]     Train net output #0: loss = 0.821159 (* 1 = 0.821159 loss)
I0328 14:41:23.188320 20480 solver.cpp:449] Iteration 43520, lr = 5e-05
I0328 14:42:56.007123 20480 solver.cpp:188] Iteration 43560, loss = 0.753618
I0328 14:42:56.007194 20480 solver.cpp:203]     Train net output #0: loss = 0.753618 (* 1 = 0.753618 loss)
I0328 14:42:56.007202 20480 solver.cpp:449] Iteration 43560, lr = 5e-05
I0328 14:44:28.140512 20480 solver.cpp:188] Iteration 43600, loss = 0.755721
I0328 14:44:28.140647 20480 solver.cpp:203]     Train net output #0: loss = 0.755721 (* 1 = 0.755721 loss)
I0328 14:44:28.140661 20480 solver.cpp:449] Iteration 43600, lr = 5e-05
I0328 14:46:01.608726 20480 solver.cpp:188] Iteration 43640, loss = 0.874967
I0328 14:46:01.608814 20480 solver.cpp:203]     Train net output #0: loss = 0.874967 (* 1 = 0.874967 loss)
I0328 14:46:01.608836 20480 solver.cpp:449] Iteration 43640, lr = 5e-05
I0328 14:47:35.293100 20480 solver.cpp:188] Iteration 43680, loss = 0.769682
I0328 14:47:35.293229 20480 solver.cpp:203]     Train net output #0: loss = 0.769682 (* 1 = 0.769682 loss)
I0328 14:47:35.293241 20480 solver.cpp:449] Iteration 43680, lr = 5e-05
I0328 14:49:10.728346 20480 solver.cpp:188] Iteration 43720, loss = 0.837822
I0328 14:49:10.728426 20480 solver.cpp:203]     Train net output #0: loss = 0.837822 (* 1 = 0.837822 loss)
I0328 14:49:10.728435 20480 solver.cpp:449] Iteration 43720, lr = 5e-05
I0328 14:50:47.151759 20480 solver.cpp:188] Iteration 43760, loss = 0.812416
I0328 14:50:47.151866 20480 solver.cpp:203]     Train net output #0: loss = 0.812416 (* 1 = 0.812416 loss)
I0328 14:50:47.151885 20480 solver.cpp:449] Iteration 43760, lr = 5e-05
I0328 14:52:24.142634 20480 solver.cpp:188] Iteration 43800, loss = 0.809414
I0328 14:52:24.142730 20480 solver.cpp:203]     Train net output #0: loss = 0.809414 (* 1 = 0.809414 loss)
I0328 14:52:24.142738 20480 solver.cpp:449] Iteration 43800, lr = 5e-05
I0328 14:54:00.721240 20480 solver.cpp:188] Iteration 43840, loss = 0.820463
I0328 14:54:00.721321 20480 solver.cpp:203]     Train net output #0: loss = 0.820463 (* 1 = 0.820463 loss)
I0328 14:54:00.721330 20480 solver.cpp:449] Iteration 43840, lr = 5e-05
I0328 14:55:52.056648 20480 solver.cpp:188] Iteration 43880, loss = 0.883812
I0328 14:55:52.056737 20480 solver.cpp:203]     Train net output #0: loss = 0.883812 (* 1 = 0.883812 loss)
I0328 14:55:52.056748 20480 solver.cpp:449] Iteration 43880, lr = 5e-05
I0328 14:57:33.023211 20480 solver.cpp:188] Iteration 43920, loss = 0.794098
I0328 14:57:33.023337 20480 solver.cpp:203]     Train net output #0: loss = 0.794098 (* 1 = 0.794098 loss)
I0328 14:57:33.023351 20480 solver.cpp:449] Iteration 43920, lr = 5e-05
I0328 14:59:07.870684 20480 solver.cpp:188] Iteration 43960, loss = 0.745953
I0328 14:59:07.870771 20480 solver.cpp:203]     Train net output #0: loss = 0.745953 (* 1 = 0.745953 loss)
I0328 14:59:07.870784 20480 solver.cpp:449] Iteration 43960, lr = 5e-05
I0328 15:00:42.983074 20480 solver.cpp:188] Iteration 44000, loss = 0.711875
I0328 15:00:42.983170 20480 solver.cpp:203]     Train net output #0: loss = 0.711875 (* 1 = 0.711875 loss)
I0328 15:00:42.983189 20480 solver.cpp:449] Iteration 44000, lr = 5e-05
I0328 15:02:18.476588 20480 solver.cpp:188] Iteration 44040, loss = 0.7993
I0328 15:02:18.476744 20480 solver.cpp:203]     Train net output #0: loss = 0.7993 (* 1 = 0.7993 loss)
I0328 15:02:18.476754 20480 solver.cpp:449] Iteration 44040, lr = 5e-05
I0328 15:03:53.230582 20480 solver.cpp:188] Iteration 44080, loss = 0.820636
I0328 15:03:53.230706 20480 solver.cpp:203]     Train net output #0: loss = 0.820636 (* 1 = 0.820636 loss)
I0328 15:03:53.230718 20480 solver.cpp:449] Iteration 44080, lr = 5e-05
I0328 15:05:27.706974 20480 solver.cpp:188] Iteration 44120, loss = 0.821265
I0328 15:05:27.707051 20480 solver.cpp:203]     Train net output #0: loss = 0.821265 (* 1 = 0.821265 loss)
I0328 15:05:27.707070 20480 solver.cpp:449] Iteration 44120, lr = 5e-05
I0328 15:07:02.171777 20480 solver.cpp:188] Iteration 44160, loss = 0.786231
I0328 15:07:02.171911 20480 solver.cpp:203]     Train net output #0: loss = 0.786231 (* 1 = 0.786231 loss)
I0328 15:07:02.171931 20480 solver.cpp:449] Iteration 44160, lr = 5e-05
I0328 15:08:38.360252 20480 solver.cpp:188] Iteration 44200, loss = 0.708814
I0328 15:08:38.360323 20480 solver.cpp:203]     Train net output #0: loss = 0.708814 (* 1 = 0.708814 loss)
I0328 15:08:38.360332 20480 solver.cpp:449] Iteration 44200, lr = 5e-05
I0328 15:10:13.845096 20480 solver.cpp:188] Iteration 44240, loss = 0.775171
I0328 15:10:13.845211 20480 solver.cpp:203]     Train net output #0: loss = 0.775171 (* 1 = 0.775171 loss)
I0328 15:10:13.845221 20480 solver.cpp:449] Iteration 44240, lr = 5e-05
I0328 15:11:48.572690 20480 solver.cpp:188] Iteration 44280, loss = 0.870488
I0328 15:11:48.572775 20480 solver.cpp:203]     Train net output #0: loss = 0.870488 (* 1 = 0.870488 loss)
I0328 15:11:48.572785 20480 solver.cpp:449] Iteration 44280, lr = 5e-05
I0328 15:13:24.298686 20480 solver.cpp:188] Iteration 44320, loss = 0.734936
I0328 15:13:24.298746 20480 solver.cpp:203]     Train net output #0: loss = 0.734936 (* 1 = 0.734936 loss)
I0328 15:13:24.298754 20480 solver.cpp:449] Iteration 44320, lr = 5e-05
I0328 15:15:00.629734 20480 solver.cpp:188] Iteration 44360, loss = 0.701773
I0328 15:15:00.629823 20480 solver.cpp:203]     Train net output #0: loss = 0.701773 (* 1 = 0.701773 loss)
I0328 15:15:00.629833 20480 solver.cpp:449] Iteration 44360, lr = 5e-05
I0328 15:16:35.324651 20480 solver.cpp:188] Iteration 44400, loss = 0.792338
I0328 15:16:35.324753 20480 solver.cpp:203]     Train net output #0: loss = 0.792338 (* 1 = 0.792338 loss)
I0328 15:16:35.324771 20480 solver.cpp:449] Iteration 44400, lr = 5e-05
I0328 15:18:06.109295 20480 solver.cpp:188] Iteration 44440, loss = 0.646661
I0328 15:18:06.109405 20480 solver.cpp:203]     Train net output #0: loss = 0.646661 (* 1 = 0.646661 loss)
I0328 15:18:06.109416 20480 solver.cpp:449] Iteration 44440, lr = 5e-05
I0328 15:19:39.114282 20480 solver.cpp:188] Iteration 44480, loss = 0.754846
I0328 15:19:39.114338 20480 solver.cpp:203]     Train net output #0: loss = 0.754846 (* 1 = 0.754846 loss)
I0328 15:19:39.114346 20480 solver.cpp:449] Iteration 44480, lr = 5e-05
I0328 15:21:11.706051 20480 solver.cpp:188] Iteration 44520, loss = 0.755072
I0328 15:21:11.706190 20480 solver.cpp:203]     Train net output #0: loss = 0.755072 (* 1 = 0.755072 loss)
I0328 15:21:11.706202 20480 solver.cpp:449] Iteration 44520, lr = 5e-05
I0328 15:22:44.604116 20480 solver.cpp:188] Iteration 44560, loss = 0.686086
I0328 15:22:44.604219 20480 solver.cpp:203]     Train net output #0: loss = 0.686086 (* 1 = 0.686086 loss)
I0328 15:22:44.604228 20480 solver.cpp:449] Iteration 44560, lr = 5e-05
I0328 15:24:16.821640 20480 solver.cpp:188] Iteration 44600, loss = 0.842896
I0328 15:24:16.821812 20480 solver.cpp:203]     Train net output #0: loss = 0.842896 (* 1 = 0.842896 loss)
I0328 15:24:16.821823 20480 solver.cpp:449] Iteration 44600, lr = 5e-05
I0328 15:25:51.748781 20480 solver.cpp:188] Iteration 44640, loss = 0.781189
I0328 15:25:51.748855 20480 solver.cpp:203]     Train net output #0: loss = 0.781189 (* 1 = 0.781189 loss)
I0328 15:25:51.748867 20480 solver.cpp:449] Iteration 44640, lr = 5e-05
I0328 15:28:24.417372 20480 solver.cpp:188] Iteration 44680, loss = 0.654927
I0328 15:28:24.417544 20480 solver.cpp:203]     Train net output #0: loss = 0.654927 (* 1 = 0.654927 loss)
I0328 15:28:24.417578 20480 solver.cpp:449] Iteration 44680, lr = 5e-05
I0328 15:30:44.856220 20480 solver.cpp:188] Iteration 44720, loss = 0.654032
I0328 15:30:44.856304 20480 solver.cpp:203]     Train net output #0: loss = 0.654032 (* 1 = 0.654032 loss)
I0328 15:30:44.856324 20480 solver.cpp:449] Iteration 44720, lr = 5e-05
I0328 15:32:34.640563 20480 solver.cpp:188] Iteration 44760, loss = 0.676476
I0328 15:32:34.640655 20480 solver.cpp:203]     Train net output #0: loss = 0.676476 (* 1 = 0.676476 loss)
I0328 15:32:34.640674 20480 solver.cpp:449] Iteration 44760, lr = 5e-05
I0328 15:34:20.149729 20480 solver.cpp:188] Iteration 44800, loss = 0.733852
I0328 15:34:20.149853 20480 solver.cpp:203]     Train net output #0: loss = 0.733852 (* 1 = 0.733852 loss)
I0328 15:34:20.149865 20480 solver.cpp:449] Iteration 44800, lr = 5e-05
I0328 15:36:03.609915 20480 solver.cpp:188] Iteration 44840, loss = 0.722957
I0328 15:36:03.610028 20480 solver.cpp:203]     Train net output #0: loss = 0.722957 (* 1 = 0.722957 loss)
I0328 15:36:03.610036 20480 solver.cpp:449] Iteration 44840, lr = 5e-05
I0328 15:37:48.051679 20480 solver.cpp:188] Iteration 44880, loss = 0.669268
I0328 15:37:48.051750 20480 solver.cpp:203]     Train net output #0: loss = 0.669268 (* 1 = 0.669268 loss)
I0328 15:37:48.051764 20480 solver.cpp:449] Iteration 44880, lr = 5e-05
I0328 15:39:34.684572 20480 solver.cpp:188] Iteration 44920, loss = 0.735907
I0328 15:39:34.684648 20480 solver.cpp:203]     Train net output #0: loss = 0.735907 (* 1 = 0.735907 loss)
I0328 15:39:34.684656 20480 solver.cpp:449] Iteration 44920, lr = 5e-05
I0328 15:41:21.388442 20480 solver.cpp:188] Iteration 44960, loss = 0.687448
I0328 15:41:21.388562 20480 solver.cpp:203]     Train net output #0: loss = 0.687448 (* 1 = 0.687448 loss)
I0328 15:41:21.388581 20480 solver.cpp:449] Iteration 44960, lr = 5e-05
I0328 15:43:06.138233 20480 solver.cpp:337] Snapshotting to cache/flic/flic_iter_45000.caffemodel
I0328 15:43:07.150910 20480 solver.cpp:345] Snapshotting solver state to cache/flic/flic_iter_45000.solverstate
I0328 15:43:07.619928 20480 solver.cpp:266] Iteration 45000, Testing net (#0)
I0328 15:43:31.908251 20480 solver.cpp:317]     Test net output #0: accuracy = 0.690695
I0328 15:43:31.908293 20480 solver.cpp:317]     Test net output #1: loss = 0.924744 (* 1 = 0.924744 loss)
I0328 15:43:32.565338 20480 solver.cpp:188] Iteration 45000, loss = 0.755591
I0328 15:43:32.565376 20480 solver.cpp:203]     Train net output #0: loss = 0.755591 (* 1 = 0.755591 loss)
I0328 15:43:32.565383 20480 solver.cpp:449] Iteration 45000, lr = 5e-05
I0328 15:45:32.907361 20480 solver.cpp:188] Iteration 45040, loss = 0.686799
I0328 15:45:32.907459 20480 solver.cpp:203]     Train net output #0: loss = 0.686799 (* 1 = 0.686799 loss)
I0328 15:45:32.907469 20480 solver.cpp:449] Iteration 45040, lr = 5e-05
I0328 15:47:26.222234 20480 solver.cpp:188] Iteration 45080, loss = 0.767455
I0328 15:47:26.222297 20480 solver.cpp:203]     Train net output #0: loss = 0.767455 (* 1 = 0.767455 loss)
I0328 15:47:26.222306 20480 solver.cpp:449] Iteration 45080, lr = 5e-05
I0328 15:49:18.192492 20480 solver.cpp:188] Iteration 45120, loss = 0.720429
I0328 15:49:18.192613 20480 solver.cpp:203]     Train net output #0: loss = 0.720429 (* 1 = 0.720429 loss)
I0328 15:49:18.192632 20480 solver.cpp:449] Iteration 45120, lr = 5e-05
I0328 15:51:11.109283 20480 solver.cpp:188] Iteration 45160, loss = 0.795768
I0328 15:51:11.109366 20480 solver.cpp:203]     Train net output #0: loss = 0.795768 (* 1 = 0.795768 loss)
I0328 15:51:11.109375 20480 solver.cpp:449] Iteration 45160, lr = 5e-05
I0328 15:53:04.036805 20480 solver.cpp:188] Iteration 45200, loss = 0.72016
I0328 15:53:04.036927 20480 solver.cpp:203]     Train net output #0: loss = 0.72016 (* 1 = 0.72016 loss)
I0328 15:53:04.036945 20480 solver.cpp:449] Iteration 45200, lr = 5e-05
I0328 15:54:53.597200 20480 solver.cpp:188] Iteration 45240, loss = 0.838953
I0328 15:54:53.597333 20480 solver.cpp:203]     Train net output #0: loss = 0.838953 (* 1 = 0.838953 loss)
I0328 15:54:53.597345 20480 solver.cpp:449] Iteration 45240, lr = 5e-05
I0328 15:56:38.453380 20480 solver.cpp:188] Iteration 45280, loss = 0.742312
I0328 15:56:38.453457 20480 solver.cpp:203]     Train net output #0: loss = 0.742312 (* 1 = 0.742312 loss)
I0328 15:56:38.453480 20480 solver.cpp:449] Iteration 45280, lr = 5e-05
I0328 15:58:18.501526 20480 solver.cpp:188] Iteration 45320, loss = 0.714651
I0328 15:58:18.501646 20480 solver.cpp:203]     Train net output #0: loss = 0.714651 (* 1 = 0.714651 loss)
I0328 15:58:18.501664 20480 solver.cpp:449] Iteration 45320, lr = 5e-05
I0328 15:59:55.067389 20480 solver.cpp:188] Iteration 45360, loss = 0.719
I0328 15:59:55.067546 20480 solver.cpp:203]     Train net output #0: loss = 0.719 (* 1 = 0.719 loss)
I0328 15:59:55.067559 20480 solver.cpp:449] Iteration 45360, lr = 5e-05
I0328 16:01:10.386803 20480 solver.cpp:188] Iteration 45400, loss = 0.762552
I0328 16:01:10.386911 20480 solver.cpp:203]     Train net output #0: loss = 0.762552 (* 1 = 0.762552 loss)
I0328 16:01:10.386929 20480 solver.cpp:449] Iteration 45400, lr = 5e-05
I0328 16:02:26.792559 20480 solver.cpp:188] Iteration 45440, loss = 0.772929
I0328 16:02:26.792675 20480 solver.cpp:203]     Train net output #0: loss = 0.772929 (* 1 = 0.772929 loss)
I0328 16:02:26.792704 20480 solver.cpp:449] Iteration 45440, lr = 5e-05
I0328 16:04:03.307888 20480 solver.cpp:188] Iteration 45480, loss = 0.728747
I0328 16:04:03.307973 20480 solver.cpp:203]     Train net output #0: loss = 0.728747 (* 1 = 0.728747 loss)
I0328 16:04:03.307991 20480 solver.cpp:449] Iteration 45480, lr = 5e-05
I0328 16:05:39.466413 20480 solver.cpp:188] Iteration 45520, loss = 0.713299
I0328 16:05:39.466486 20480 solver.cpp:203]     Train net output #0: loss = 0.713299 (* 1 = 0.713299 loss)
I0328 16:05:39.466495 20480 solver.cpp:449] Iteration 45520, lr = 5e-05
I0328 16:07:15.857273 20480 solver.cpp:188] Iteration 45560, loss = 0.758677
I0328 16:07:15.857352 20480 solver.cpp:203]     Train net output #0: loss = 0.758677 (* 1 = 0.758677 loss)
I0328 16:07:15.857372 20480 solver.cpp:449] Iteration 45560, lr = 5e-05
I0328 16:08:52.801650 20480 solver.cpp:188] Iteration 45600, loss = 0.817595
I0328 16:08:52.801770 20480 solver.cpp:203]     Train net output #0: loss = 0.817595 (* 1 = 0.817595 loss)
I0328 16:08:52.801789 20480 solver.cpp:449] Iteration 45600, lr = 5e-05
I0328 16:10:30.154034 20480 solver.cpp:188] Iteration 45640, loss = 0.756574
I0328 16:10:30.154155 20480 solver.cpp:203]     Train net output #0: loss = 0.756574 (* 1 = 0.756574 loss)
I0328 16:10:30.154172 20480 solver.cpp:449] Iteration 45640, lr = 5e-05
I0328 16:12:07.705330 20480 solver.cpp:188] Iteration 45680, loss = 0.767328
I0328 16:12:07.705452 20480 solver.cpp:203]     Train net output #0: loss = 0.767328 (* 1 = 0.767328 loss)
I0328 16:12:07.705461 20480 solver.cpp:449] Iteration 45680, lr = 5e-05
I0328 16:13:40.766623 20480 solver.cpp:188] Iteration 45720, loss = 0.76176
I0328 16:13:40.766726 20480 solver.cpp:203]     Train net output #0: loss = 0.76176 (* 1 = 0.76176 loss)
I0328 16:13:40.766736 20480 solver.cpp:449] Iteration 45720, lr = 5e-05
I0328 16:15:09.909632 20480 solver.cpp:188] Iteration 45760, loss = 0.877409
I0328 16:15:09.909760 20480 solver.cpp:203]     Train net output #0: loss = 0.877409 (* 1 = 0.877409 loss)
I0328 16:15:09.909780 20480 solver.cpp:449] Iteration 45760, lr = 5e-05
I0328 16:16:38.079835 20480 solver.cpp:188] Iteration 45800, loss = 0.769042
I0328 16:16:38.079938 20480 solver.cpp:203]     Train net output #0: loss = 0.769042 (* 1 = 0.769042 loss)
I0328 16:16:38.079946 20480 solver.cpp:449] Iteration 45800, lr = 5e-05
I0328 16:18:08.998592 20480 solver.cpp:188] Iteration 45840, loss = 0.801986
I0328 16:18:08.998687 20480 solver.cpp:203]     Train net output #0: loss = 0.801986 (* 1 = 0.801986 loss)
I0328 16:18:08.998706 20480 solver.cpp:449] Iteration 45840, lr = 5e-05
I0328 16:19:39.985292 20480 solver.cpp:188] Iteration 45880, loss = 0.686626
I0328 16:19:39.985375 20480 solver.cpp:203]     Train net output #0: loss = 0.686626 (* 1 = 0.686626 loss)
I0328 16:19:39.985384 20480 solver.cpp:449] Iteration 45880, lr = 5e-05
I0328 16:21:12.029752 20480 solver.cpp:188] Iteration 45920, loss = 0.805989
I0328 16:21:12.029877 20480 solver.cpp:203]     Train net output #0: loss = 0.805989 (* 1 = 0.805989 loss)
I0328 16:21:12.029887 20480 solver.cpp:449] Iteration 45920, lr = 5e-05
I0328 16:22:42.424116 20480 solver.cpp:188] Iteration 45960, loss = 0.788791
I0328 16:22:42.424212 20480 solver.cpp:203]     Train net output #0: loss = 0.788791 (* 1 = 0.788791 loss)
I0328 16:22:42.424221 20480 solver.cpp:449] Iteration 45960, lr = 5e-05
I0328 16:24:14.932387 20480 solver.cpp:188] Iteration 46000, loss = 0.719152
I0328 16:24:14.932538 20480 solver.cpp:203]     Train net output #0: loss = 0.719152 (* 1 = 0.719152 loss)
I0328 16:24:14.932548 20480 solver.cpp:449] Iteration 46000, lr = 5e-05
I0328 16:25:49.013396 20480 solver.cpp:188] Iteration 46040, loss = 0.696916
I0328 16:25:49.013480 20480 solver.cpp:203]     Train net output #0: loss = 0.696916 (* 1 = 0.696916 loss)
I0328 16:25:49.013489 20480 solver.cpp:449] Iteration 46040, lr = 5e-05
I0328 16:27:22.717918 20480 solver.cpp:188] Iteration 46080, loss = 0.653405
I0328 16:27:22.717993 20480 solver.cpp:203]     Train net output #0: loss = 0.653405 (* 1 = 0.653405 loss)
I0328 16:27:22.718003 20480 solver.cpp:449] Iteration 46080, lr = 5e-05
I0328 16:28:57.710481 20480 solver.cpp:188] Iteration 46120, loss = 0.693705
I0328 16:28:57.710566 20480 solver.cpp:203]     Train net output #0: loss = 0.693705 (* 1 = 0.693705 loss)
I0328 16:28:57.710584 20480 solver.cpp:449] Iteration 46120, lr = 5e-05
I0328 16:30:33.605535 20480 solver.cpp:188] Iteration 46160, loss = 0.674743
I0328 16:30:33.605635 20480 solver.cpp:203]     Train net output #0: loss = 0.674743 (* 1 = 0.674743 loss)
I0328 16:30:33.605648 20480 solver.cpp:449] Iteration 46160, lr = 5e-05
I0328 16:32:09.352529 20480 solver.cpp:188] Iteration 46200, loss = 0.796133
I0328 16:32:09.352603 20480 solver.cpp:203]     Train net output #0: loss = 0.796133 (* 1 = 0.796133 loss)
I0328 16:32:09.352612 20480 solver.cpp:449] Iteration 46200, lr = 5e-05
I0328 16:33:40.980782 20480 solver.cpp:188] Iteration 46240, loss = 0.904654
I0328 16:33:40.980917 20480 solver.cpp:203]     Train net output #0: loss = 0.904654 (* 1 = 0.904654 loss)
I0328 16:33:40.980927 20480 solver.cpp:449] Iteration 46240, lr = 5e-05
I0328 16:35:14.446954 20480 solver.cpp:188] Iteration 46280, loss = 0.781955
I0328 16:35:14.447039 20480 solver.cpp:203]     Train net output #0: loss = 0.781955 (* 1 = 0.781955 loss)
I0328 16:35:14.447048 20480 solver.cpp:449] Iteration 46280, lr = 5e-05
I0328 16:36:46.892806 20480 solver.cpp:188] Iteration 46320, loss = 0.787294
I0328 16:36:46.892895 20480 solver.cpp:203]     Train net output #0: loss = 0.787294 (* 1 = 0.787294 loss)
I0328 16:36:46.892915 20480 solver.cpp:449] Iteration 46320, lr = 5e-05
I0328 16:38:19.659801 20480 solver.cpp:188] Iteration 46360, loss = 0.912288
I0328 16:38:19.659883 20480 solver.cpp:203]     Train net output #0: loss = 0.912288 (* 1 = 0.912288 loss)
I0328 16:38:19.659891 20480 solver.cpp:449] Iteration 46360, lr = 5e-05
I0328 16:39:52.863131 20480 solver.cpp:188] Iteration 46400, loss = 0.751434
I0328 16:39:52.863211 20480 solver.cpp:203]     Train net output #0: loss = 0.751434 (* 1 = 0.751434 loss)
I0328 16:39:52.863229 20480 solver.cpp:449] Iteration 46400, lr = 5e-05
I0328 16:41:24.632470 20480 solver.cpp:188] Iteration 46440, loss = 0.847689
I0328 16:41:24.632542 20480 solver.cpp:203]     Train net output #0: loss = 0.847689 (* 1 = 0.847689 loss)
I0328 16:41:24.632550 20480 solver.cpp:449] Iteration 46440, lr = 5e-05
I0328 16:42:55.934816 20480 solver.cpp:188] Iteration 46480, loss = 0.841949
I0328 16:42:55.934937 20480 solver.cpp:203]     Train net output #0: loss = 0.841949 (* 1 = 0.841949 loss)
I0328 16:42:55.934954 20480 solver.cpp:449] Iteration 46480, lr = 5e-05
I0328 16:44:26.621637 20480 solver.cpp:188] Iteration 46520, loss = 0.804245
I0328 16:44:26.621721 20480 solver.cpp:203]     Train net output #0: loss = 0.804245 (* 1 = 0.804245 loss)
I0328 16:44:26.621729 20480 solver.cpp:449] Iteration 46520, lr = 5e-05
I0328 16:45:59.348917 20480 solver.cpp:188] Iteration 46560, loss = 0.810746
I0328 16:45:59.349050 20480 solver.cpp:203]     Train net output #0: loss = 0.810746 (* 1 = 0.810746 loss)
I0328 16:45:59.349058 20480 solver.cpp:449] Iteration 46560, lr = 5e-05
I0328 16:47:31.337179 20480 solver.cpp:188] Iteration 46600, loss = 0.749219
I0328 16:47:31.337257 20480 solver.cpp:203]     Train net output #0: loss = 0.749219 (* 1 = 0.749219 loss)
I0328 16:47:31.337266 20480 solver.cpp:449] Iteration 46600, lr = 5e-05
I0328 16:49:03.653962 20480 solver.cpp:188] Iteration 46640, loss = 0.732066
I0328 16:49:03.654081 20480 solver.cpp:203]     Train net output #0: loss = 0.732066 (* 1 = 0.732066 loss)
I0328 16:49:03.654101 20480 solver.cpp:449] Iteration 46640, lr = 5e-05
I0328 16:50:35.773490 20480 solver.cpp:188] Iteration 46680, loss = 0.734698
I0328 16:50:35.773579 20480 solver.cpp:203]     Train net output #0: loss = 0.734698 (* 1 = 0.734698 loss)
I0328 16:50:35.773598 20480 solver.cpp:449] Iteration 46680, lr = 5e-05
I0328 16:52:08.199700 20480 solver.cpp:188] Iteration 46720, loss = 0.832038
I0328 16:52:08.199808 20480 solver.cpp:203]     Train net output #0: loss = 0.832038 (* 1 = 0.832038 loss)
I0328 16:52:08.199826 20480 solver.cpp:449] Iteration 46720, lr = 5e-05
I0328 16:53:38.983609 20480 solver.cpp:188] Iteration 46760, loss = 0.830019
I0328 16:53:38.983744 20480 solver.cpp:203]     Train net output #0: loss = 0.830019 (* 1 = 0.830019 loss)
I0328 16:53:38.983763 20480 solver.cpp:449] Iteration 46760, lr = 5e-05
I0328 16:55:08.797140 20480 solver.cpp:188] Iteration 46800, loss = 0.784583
I0328 16:55:08.797250 20480 solver.cpp:203]     Train net output #0: loss = 0.784583 (* 1 = 0.784583 loss)
I0328 16:55:08.797258 20480 solver.cpp:449] Iteration 46800, lr = 5e-05
I0328 16:56:39.523793 20480 solver.cpp:188] Iteration 46840, loss = 0.739863
I0328 16:56:39.523926 20480 solver.cpp:203]     Train net output #0: loss = 0.739863 (* 1 = 0.739863 loss)
I0328 16:56:39.523939 20480 solver.cpp:449] Iteration 46840, lr = 5e-05
I0328 16:58:09.565781 20480 solver.cpp:188] Iteration 46880, loss = 0.856677
I0328 16:58:09.565899 20480 solver.cpp:203]     Train net output #0: loss = 0.856677 (* 1 = 0.856677 loss)
I0328 16:58:09.565907 20480 solver.cpp:449] Iteration 46880, lr = 5e-05
I0328 16:59:40.562721 20480 solver.cpp:188] Iteration 46920, loss = 0.773511
I0328 16:59:40.562786 20480 solver.cpp:203]     Train net output #0: loss = 0.773511 (* 1 = 0.773511 loss)
I0328 16:59:40.562795 20480 solver.cpp:449] Iteration 46920, lr = 5e-05
I0328 17:01:11.837175 20480 solver.cpp:188] Iteration 46960, loss = 0.763612
I0328 17:01:11.837290 20480 solver.cpp:203]     Train net output #0: loss = 0.763612 (* 1 = 0.763612 loss)
I0328 17:01:11.837308 20480 solver.cpp:449] Iteration 46960, lr = 5e-05
I0328 17:02:41.686928 20480 solver.cpp:188] Iteration 47000, loss = 0.772159
I0328 17:02:41.687037 20480 solver.cpp:203]     Train net output #0: loss = 0.772159 (* 1 = 0.772159 loss)
I0328 17:02:41.687047 20480 solver.cpp:449] Iteration 47000, lr = 5e-05
I0328 17:04:12.170007 20480 solver.cpp:188] Iteration 47040, loss = 0.840495
I0328 17:04:12.170089 20480 solver.cpp:203]     Train net output #0: loss = 0.840495 (* 1 = 0.840495 loss)
I0328 17:04:12.170107 20480 solver.cpp:449] Iteration 47040, lr = 5e-05
I0328 17:05:42.766552 20480 solver.cpp:188] Iteration 47080, loss = 0.816573
I0328 17:05:42.766655 20480 solver.cpp:203]     Train net output #0: loss = 0.816573 (* 1 = 0.816573 loss)
I0328 17:05:42.766664 20480 solver.cpp:449] Iteration 47080, lr = 5e-05
I0328 17:07:12.097806 20480 solver.cpp:188] Iteration 47120, loss = 0.758495
I0328 17:07:12.097872 20480 solver.cpp:203]     Train net output #0: loss = 0.758495 (* 1 = 0.758495 loss)
I0328 17:07:12.097880 20480 solver.cpp:449] Iteration 47120, lr = 5e-05
I0328 17:08:42.079466 20480 solver.cpp:188] Iteration 47160, loss = 0.721318
I0328 17:08:42.079525 20480 solver.cpp:203]     Train net output #0: loss = 0.721318 (* 1 = 0.721318 loss)
I0328 17:08:42.079534 20480 solver.cpp:449] Iteration 47160, lr = 5e-05
I0328 17:10:13.710944 20480 solver.cpp:188] Iteration 47200, loss = 0.816623
I0328 17:10:13.711055 20480 solver.cpp:203]     Train net output #0: loss = 0.816623 (* 1 = 0.816623 loss)
I0328 17:10:13.711066 20480 solver.cpp:449] Iteration 47200, lr = 5e-05
I0328 17:11:43.138713 20480 solver.cpp:188] Iteration 47240, loss = 0.769319
I0328 17:11:43.138787 20480 solver.cpp:203]     Train net output #0: loss = 0.769319 (* 1 = 0.769319 loss)
I0328 17:11:43.138804 20480 solver.cpp:449] Iteration 47240, lr = 5e-05
I0328 17:13:15.297420 20480 solver.cpp:188] Iteration 47280, loss = 0.788134
I0328 17:13:15.297531 20480 solver.cpp:203]     Train net output #0: loss = 0.788134 (* 1 = 0.788134 loss)
I0328 17:13:15.297544 20480 solver.cpp:449] Iteration 47280, lr = 5e-05
I0328 17:14:46.671216 20480 solver.cpp:188] Iteration 47320, loss = 0.775003
I0328 17:14:46.671331 20480 solver.cpp:203]     Train net output #0: loss = 0.775003 (* 1 = 0.775003 loss)
I0328 17:14:46.671342 20480 solver.cpp:449] Iteration 47320, lr = 5e-05
I0328 17:16:18.635043 20480 solver.cpp:188] Iteration 47360, loss = 0.789837
I0328 17:16:18.635133 20480 solver.cpp:203]     Train net output #0: loss = 0.789837 (* 1 = 0.789837 loss)
I0328 17:16:18.635159 20480 solver.cpp:449] Iteration 47360, lr = 5e-05
I0328 17:17:50.484803 20480 solver.cpp:188] Iteration 47400, loss = 0.791307
I0328 17:17:50.484874 20480 solver.cpp:203]     Train net output #0: loss = 0.791307 (* 1 = 0.791307 loss)
I0328 17:17:50.484884 20480 solver.cpp:449] Iteration 47400, lr = 5e-05
I0328 17:19:23.879926 20480 solver.cpp:188] Iteration 47440, loss = 0.86321
I0328 17:19:23.880040 20480 solver.cpp:203]     Train net output #0: loss = 0.86321 (* 1 = 0.86321 loss)
I0328 17:19:23.880049 20480 solver.cpp:449] Iteration 47440, lr = 5e-05
I0328 17:20:57.730315 20480 solver.cpp:188] Iteration 47480, loss = 0.69893
I0328 17:20:57.730407 20480 solver.cpp:203]     Train net output #0: loss = 0.69893 (* 1 = 0.69893 loss)
I0328 17:20:57.730418 20480 solver.cpp:449] Iteration 47480, lr = 5e-05
I0328 17:22:32.204161 20480 solver.cpp:188] Iteration 47520, loss = 0.794856
I0328 17:22:32.204229 20480 solver.cpp:203]     Train net output #0: loss = 0.794856 (* 1 = 0.794856 loss)
I0328 17:22:32.204238 20480 solver.cpp:449] Iteration 47520, lr = 5e-05
I0328 17:24:04.874789 20480 solver.cpp:188] Iteration 47560, loss = 0.768779
I0328 17:24:04.874896 20480 solver.cpp:203]     Train net output #0: loss = 0.768779 (* 1 = 0.768779 loss)
I0328 17:24:04.874904 20480 solver.cpp:449] Iteration 47560, lr = 5e-05
I0328 17:25:38.693979 20480 solver.cpp:188] Iteration 47600, loss = 0.879869
I0328 17:25:38.694069 20480 solver.cpp:203]     Train net output #0: loss = 0.879869 (* 1 = 0.879869 loss)
I0328 17:25:38.694082 20480 solver.cpp:449] Iteration 47600, lr = 5e-05
I0328 17:27:13.064003 20480 solver.cpp:188] Iteration 47640, loss = 0.736974
I0328 17:27:13.064098 20480 solver.cpp:203]     Train net output #0: loss = 0.736974 (* 1 = 0.736974 loss)
I0328 17:27:13.064118 20480 solver.cpp:449] Iteration 47640, lr = 5e-05
I0328 17:28:47.208230 20480 solver.cpp:188] Iteration 47680, loss = 0.787396
I0328 17:28:47.208318 20480 solver.cpp:203]     Train net output #0: loss = 0.787396 (* 1 = 0.787396 loss)
I0328 17:28:47.208328 20480 solver.cpp:449] Iteration 47680, lr = 5e-05
I0328 17:30:21.940026 20480 solver.cpp:188] Iteration 47720, loss = 0.733665
I0328 17:30:21.940084 20480 solver.cpp:203]     Train net output #0: loss = 0.733665 (* 1 = 0.733665 loss)
I0328 17:30:21.940093 20480 solver.cpp:449] Iteration 47720, lr = 5e-05
I0328 17:31:56.045686 20480 solver.cpp:188] Iteration 47760, loss = 0.867498
I0328 17:31:56.045771 20480 solver.cpp:203]     Train net output #0: loss = 0.867498 (* 1 = 0.867498 loss)
I0328 17:31:56.045780 20480 solver.cpp:449] Iteration 47760, lr = 5e-05
I0328 17:33:27.712507 20480 solver.cpp:188] Iteration 47800, loss = 0.789856
I0328 17:33:27.712599 20480 solver.cpp:203]     Train net output #0: loss = 0.789856 (* 1 = 0.789856 loss)
I0328 17:33:27.712611 20480 solver.cpp:449] Iteration 47800, lr = 5e-05
I0328 17:35:02.977413 20480 solver.cpp:188] Iteration 47840, loss = 0.71406
I0328 17:35:02.977520 20480 solver.cpp:203]     Train net output #0: loss = 0.71406 (* 1 = 0.71406 loss)
I0328 17:35:02.977533 20480 solver.cpp:449] Iteration 47840, lr = 5e-05
I0328 17:36:36.341989 20480 solver.cpp:188] Iteration 47880, loss = 0.680549
I0328 17:36:36.342113 20480 solver.cpp:203]     Train net output #0: loss = 0.680549 (* 1 = 0.680549 loss)
I0328 17:36:36.342125 20480 solver.cpp:449] Iteration 47880, lr = 5e-05
I0328 17:38:10.257931 20480 solver.cpp:188] Iteration 47920, loss = 0.744622
I0328 17:38:10.258054 20480 solver.cpp:203]     Train net output #0: loss = 0.744622 (* 1 = 0.744622 loss)
I0328 17:38:10.258062 20480 solver.cpp:449] Iteration 47920, lr = 5e-05
I0328 17:39:43.634233 20480 solver.cpp:188] Iteration 47960, loss = 0.751231
I0328 17:39:43.647214 20480 solver.cpp:203]     Train net output #0: loss = 0.751231 (* 1 = 0.751231 loss)
I0328 17:39:43.647227 20480 solver.cpp:449] Iteration 47960, lr = 5e-05
I0328 17:41:16.147344 20480 solver.cpp:188] Iteration 48000, loss = 0.870003
I0328 17:41:16.147451 20480 solver.cpp:203]     Train net output #0: loss = 0.870003 (* 1 = 0.870003 loss)
I0328 17:41:16.147470 20480 solver.cpp:449] Iteration 48000, lr = 5e-05
I0328 17:42:49.160622 20480 solver.cpp:188] Iteration 48040, loss = 0.765903
I0328 17:42:49.160749 20480 solver.cpp:203]     Train net output #0: loss = 0.765903 (* 1 = 0.765903 loss)
I0328 17:42:49.160759 20480 solver.cpp:449] Iteration 48040, lr = 5e-05
I0328 17:44:21.438725 20480 solver.cpp:188] Iteration 48080, loss = 0.833838
I0328 17:44:21.438828 20480 solver.cpp:203]     Train net output #0: loss = 0.833838 (* 1 = 0.833838 loss)
I0328 17:44:21.438837 20480 solver.cpp:449] Iteration 48080, lr = 5e-05
I0328 17:45:54.242544 20480 solver.cpp:188] Iteration 48120, loss = 0.811172
I0328 17:45:54.242624 20480 solver.cpp:203]     Train net output #0: loss = 0.811172 (* 1 = 0.811172 loss)
I0328 17:45:54.242633 20480 solver.cpp:449] Iteration 48120, lr = 5e-05
I0328 17:47:27.295383 20480 solver.cpp:188] Iteration 48160, loss = 0.721916
I0328 17:47:27.295475 20480 solver.cpp:203]     Train net output #0: loss = 0.721916 (* 1 = 0.721916 loss)
I0328 17:47:27.295483 20480 solver.cpp:449] Iteration 48160, lr = 5e-05
I0328 17:48:59.614401 20480 solver.cpp:188] Iteration 48200, loss = 0.865613
I0328 17:48:59.614477 20480 solver.cpp:203]     Train net output #0: loss = 0.865613 (* 1 = 0.865613 loss)
I0328 17:48:59.614486 20480 solver.cpp:449] Iteration 48200, lr = 5e-05
I0328 17:50:32.628387 20480 solver.cpp:188] Iteration 48240, loss = 0.81233
I0328 17:50:32.628480 20480 solver.cpp:203]     Train net output #0: loss = 0.81233 (* 1 = 0.81233 loss)
I0328 17:50:32.628491 20480 solver.cpp:449] Iteration 48240, lr = 5e-05
I0328 17:52:04.927404 20480 solver.cpp:188] Iteration 48280, loss = 0.764279
I0328 17:52:04.927511 20480 solver.cpp:203]     Train net output #0: loss = 0.764279 (* 1 = 0.764279 loss)
I0328 17:52:04.927520 20480 solver.cpp:449] Iteration 48280, lr = 5e-05
I0328 17:53:45.304139 20480 solver.cpp:188] Iteration 48320, loss = 0.82447
I0328 17:53:45.304205 20480 solver.cpp:203]     Train net output #0: loss = 0.82447 (* 1 = 0.82447 loss)
I0328 17:53:45.304214 20480 solver.cpp:449] Iteration 48320, lr = 5e-05
I0328 17:55:27.156587 20480 solver.cpp:188] Iteration 48360, loss = 0.734741
I0328 17:55:27.156672 20480 solver.cpp:203]     Train net output #0: loss = 0.734741 (* 1 = 0.734741 loss)
I0328 17:55:27.156680 20480 solver.cpp:449] Iteration 48360, lr = 5e-05
I0328 17:57:04.472913 20480 solver.cpp:188] Iteration 48400, loss = 0.785903
I0328 17:57:04.473052 20480 solver.cpp:203]     Train net output #0: loss = 0.785903 (* 1 = 0.785903 loss)
I0328 17:57:04.473062 20480 solver.cpp:449] Iteration 48400, lr = 5e-05
I0328 17:58:43.088583 20480 solver.cpp:188] Iteration 48440, loss = 0.694382
I0328 17:58:43.088660 20480 solver.cpp:203]     Train net output #0: loss = 0.694382 (* 1 = 0.694382 loss)
I0328 17:58:43.088668 20480 solver.cpp:449] Iteration 48440, lr = 5e-05
I0328 18:00:21.487769 20480 solver.cpp:188] Iteration 48480, loss = 0.799105
I0328 18:00:21.487877 20480 solver.cpp:203]     Train net output #0: loss = 0.799105 (* 1 = 0.799105 loss)
I0328 18:00:21.487887 20480 solver.cpp:449] Iteration 48480, lr = 5e-05
I0328 18:01:58.633680 20480 solver.cpp:188] Iteration 48520, loss = 0.693681
I0328 18:01:58.633769 20480 solver.cpp:203]     Train net output #0: loss = 0.693681 (* 1 = 0.693681 loss)
I0328 18:01:58.633779 20480 solver.cpp:449] Iteration 48520, lr = 5e-05
I0328 18:03:37.832733 20480 solver.cpp:188] Iteration 48560, loss = 0.751867
I0328 18:03:37.832792 20480 solver.cpp:203]     Train net output #0: loss = 0.751867 (* 1 = 0.751867 loss)
I0328 18:03:37.832799 20480 solver.cpp:449] Iteration 48560, lr = 5e-05
I0328 18:05:16.923089 20480 solver.cpp:188] Iteration 48600, loss = 0.820625
I0328 18:05:16.923169 20480 solver.cpp:203]     Train net output #0: loss = 0.820625 (* 1 = 0.820625 loss)
I0328 18:05:16.923194 20480 solver.cpp:449] Iteration 48600, lr = 5e-05
I0328 18:06:55.375538 20480 solver.cpp:188] Iteration 48640, loss = 0.663222
I0328 18:06:55.375668 20480 solver.cpp:203]     Train net output #0: loss = 0.663222 (* 1 = 0.663222 loss)
I0328 18:06:55.375679 20480 solver.cpp:449] Iteration 48640, lr = 5e-05
I0328 18:08:35.404310 20480 solver.cpp:188] Iteration 48680, loss = 0.72921
I0328 18:08:35.404403 20480 solver.cpp:203]     Train net output #0: loss = 0.72921 (* 1 = 0.72921 loss)
I0328 18:08:35.404424 20480 solver.cpp:449] Iteration 48680, lr = 5e-05
I0328 18:10:14.111341 20480 solver.cpp:188] Iteration 48720, loss = 0.780223
I0328 18:10:14.111457 20480 solver.cpp:203]     Train net output #0: loss = 0.780223 (* 1 = 0.780223 loss)
I0328 18:10:14.111476 20480 solver.cpp:449] Iteration 48720, lr = 5e-05
I0328 18:11:53.398133 20480 solver.cpp:188] Iteration 48760, loss = 0.753791
I0328 18:11:53.398222 20480 solver.cpp:203]     Train net output #0: loss = 0.753791 (* 1 = 0.753791 loss)
I0328 18:11:53.398231 20480 solver.cpp:449] Iteration 48760, lr = 5e-05
I0328 18:13:32.270660 20480 solver.cpp:188] Iteration 48800, loss = 0.740703
I0328 18:13:32.270786 20480 solver.cpp:203]     Train net output #0: loss = 0.740703 (* 1 = 0.740703 loss)
I0328 18:13:32.270797 20480 solver.cpp:449] Iteration 48800, lr = 5e-05
I0328 18:15:07.741564 20480 solver.cpp:188] Iteration 48840, loss = 0.721558
I0328 18:15:07.741647 20480 solver.cpp:203]     Train net output #0: loss = 0.721558 (* 1 = 0.721558 loss)
I0328 18:15:07.741654 20480 solver.cpp:449] Iteration 48840, lr = 5e-05
I0328 18:16:44.807255 20480 solver.cpp:188] Iteration 48880, loss = 0.722553
I0328 18:16:44.807366 20480 solver.cpp:203]     Train net output #0: loss = 0.722553 (* 1 = 0.722553 loss)
I0328 18:16:44.807378 20480 solver.cpp:449] Iteration 48880, lr = 5e-05
I0328 18:18:21.669874 20480 solver.cpp:188] Iteration 48920, loss = 0.676178
I0328 18:18:21.670064 20480 solver.cpp:203]     Train net output #0: loss = 0.676178 (* 1 = 0.676178 loss)
I0328 18:18:21.670076 20480 solver.cpp:449] Iteration 48920, lr = 5e-05
I0328 18:20:00.696521 20480 solver.cpp:188] Iteration 48960, loss = 0.663916
I0328 18:20:00.696651 20480 solver.cpp:203]     Train net output #0: loss = 0.663916 (* 1 = 0.663916 loss)
I0328 18:20:00.696660 20480 solver.cpp:449] Iteration 48960, lr = 5e-05
I0328 18:21:36.402709 20480 solver.cpp:188] Iteration 49000, loss = 0.76171
I0328 18:21:36.402829 20480 solver.cpp:203]     Train net output #0: loss = 0.76171 (* 1 = 0.76171 loss)
I0328 18:21:36.402842 20480 solver.cpp:449] Iteration 49000, lr = 5e-05
I0328 18:23:13.654991 20480 solver.cpp:188] Iteration 49040, loss = 0.676794
I0328 18:23:13.655061 20480 solver.cpp:203]     Train net output #0: loss = 0.676794 (* 1 = 0.676794 loss)
I0328 18:23:13.655078 20480 solver.cpp:449] Iteration 49040, lr = 5e-05
I0328 18:24:50.875417 20480 solver.cpp:188] Iteration 49080, loss = 0.790381
I0328 18:24:50.875491 20480 solver.cpp:203]     Train net output #0: loss = 0.790381 (* 1 = 0.790381 loss)
I0328 18:24:50.875501 20480 solver.cpp:449] Iteration 49080, lr = 5e-05
I0328 18:26:21.810914 20480 solver.cpp:188] Iteration 49120, loss = 0.704771
I0328 18:26:21.810995 20480 solver.cpp:203]     Train net output #0: loss = 0.704771 (* 1 = 0.704771 loss)
I0328 18:26:21.811004 20480 solver.cpp:449] Iteration 49120, lr = 5e-05
I0328 18:27:48.517729 20480 solver.cpp:188] Iteration 49160, loss = 0.683244
I0328 18:27:48.517876 20480 solver.cpp:203]     Train net output #0: loss = 0.683244 (* 1 = 0.683244 loss)
I0328 18:27:48.517886 20480 solver.cpp:449] Iteration 49160, lr = 5e-05
I0328 18:29:16.916895 20480 solver.cpp:188] Iteration 49200, loss = 0.716657
I0328 18:29:16.916985 20480 solver.cpp:203]     Train net output #0: loss = 0.716657 (* 1 = 0.716657 loss)
I0328 18:29:16.917003 20480 solver.cpp:449] Iteration 49200, lr = 5e-05
I0328 18:30:44.297052 20480 solver.cpp:188] Iteration 49240, loss = 0.68028
I0328 18:30:44.297132 20480 solver.cpp:203]     Train net output #0: loss = 0.68028 (* 1 = 0.68028 loss)
I0328 18:30:44.297142 20480 solver.cpp:449] Iteration 49240, lr = 5e-05
I0328 18:32:12.672655 20480 solver.cpp:188] Iteration 49280, loss = 0.655975
I0328 18:32:12.672801 20480 solver.cpp:203]     Train net output #0: loss = 0.655975 (* 1 = 0.655975 loss)
I0328 18:32:12.672812 20480 solver.cpp:449] Iteration 49280, lr = 5e-05
I0328 18:33:40.528954 20480 solver.cpp:188] Iteration 49320, loss = 0.558642
I0328 18:33:40.529094 20480 solver.cpp:203]     Train net output #0: loss = 0.558642 (* 1 = 0.558642 loss)
I0328 18:33:40.529105 20480 solver.cpp:449] Iteration 49320, lr = 5e-05
I0328 18:35:10.098498 20480 solver.cpp:188] Iteration 49360, loss = 0.637362
I0328 18:35:10.098599 20480 solver.cpp:203]     Train net output #0: loss = 0.637362 (* 1 = 0.637362 loss)
I0328 18:35:10.098608 20480 solver.cpp:449] Iteration 49360, lr = 5e-05
I0328 18:36:32.642477 20480 solver.cpp:188] Iteration 49400, loss = 0.618573
I0328 18:36:32.642644 20480 solver.cpp:203]     Train net output #0: loss = 0.618573 (* 1 = 0.618573 loss)
I0328 18:36:32.642655 20480 solver.cpp:449] Iteration 49400, lr = 5e-05
I0328 18:38:01.639256 20480 solver.cpp:188] Iteration 49440, loss = 0.824509
I0328 18:38:01.639403 20480 solver.cpp:203]     Train net output #0: loss = 0.824509 (* 1 = 0.824509 loss)
I0328 18:38:01.639413 20480 solver.cpp:449] Iteration 49440, lr = 5e-05
I0328 18:39:33.294713 20480 solver.cpp:188] Iteration 49480, loss = 0.834346
I0328 18:39:33.294821 20480 solver.cpp:203]     Train net output #0: loss = 0.834346 (* 1 = 0.834346 loss)
I0328 18:39:33.294829 20480 solver.cpp:449] Iteration 49480, lr = 5e-05
I0328 18:41:02.293515 20480 solver.cpp:188] Iteration 49520, loss = 0.728315
I0328 18:41:02.293601 20480 solver.cpp:203]     Train net output #0: loss = 0.728315 (* 1 = 0.728315 loss)
I0328 18:41:02.293619 20480 solver.cpp:449] Iteration 49520, lr = 5e-05
I0328 18:42:32.011709 20480 solver.cpp:188] Iteration 49560, loss = 0.768664
I0328 18:42:32.011795 20480 solver.cpp:203]     Train net output #0: loss = 0.768664 (* 1 = 0.768664 loss)
I0328 18:42:32.011804 20480 solver.cpp:449] Iteration 49560, lr = 5e-05
I0328 18:44:02.217397 20480 solver.cpp:188] Iteration 49600, loss = 0.760265
I0328 18:44:02.217509 20480 solver.cpp:203]     Train net output #0: loss = 0.760265 (* 1 = 0.760265 loss)
I0328 18:44:02.217517 20480 solver.cpp:449] Iteration 49600, lr = 5e-05
I0328 18:45:33.057715 20480 solver.cpp:188] Iteration 49640, loss = 0.743891
I0328 18:45:33.057780 20480 solver.cpp:203]     Train net output #0: loss = 0.743891 (* 1 = 0.743891 loss)
I0328 18:45:33.057790 20480 solver.cpp:449] Iteration 49640, lr = 5e-05
I0328 18:47:03.056375 20480 solver.cpp:188] Iteration 49680, loss = 0.762996
I0328 18:47:03.056498 20480 solver.cpp:203]     Train net output #0: loss = 0.762996 (* 1 = 0.762996 loss)
I0328 18:47:03.056519 20480 solver.cpp:449] Iteration 49680, lr = 5e-05
I0328 18:48:33.356736 20480 solver.cpp:188] Iteration 49720, loss = 0.776539
I0328 18:48:33.356858 20480 solver.cpp:203]     Train net output #0: loss = 0.776539 (* 1 = 0.776539 loss)
I0328 18:48:33.356870 20480 solver.cpp:449] Iteration 49720, lr = 5e-05
I0328 18:50:04.145473 20480 solver.cpp:188] Iteration 49760, loss = 0.838122
I0328 18:50:04.145601 20480 solver.cpp:203]     Train net output #0: loss = 0.838122 (* 1 = 0.838122 loss)
I0328 18:50:04.145609 20480 solver.cpp:449] Iteration 49760, lr = 5e-05
I0328 18:51:34.171766 20480 solver.cpp:188] Iteration 49800, loss = 0.744584
I0328 18:51:34.171847 20480 solver.cpp:203]     Train net output #0: loss = 0.744584 (* 1 = 0.744584 loss)
I0328 18:51:34.171859 20480 solver.cpp:449] Iteration 49800, lr = 5e-05
I0328 18:52:35.226388 20480 solver.cpp:188] Iteration 49840, loss = 0.846739
I0328 18:52:35.226498 20480 solver.cpp:203]     Train net output #0: loss = 0.846739 (* 1 = 0.846739 loss)
I0328 18:52:35.226508 20480 solver.cpp:449] Iteration 49840, lr = 5e-05
I0328 18:54:06.249754 20480 solver.cpp:188] Iteration 49880, loss = 0.710259
I0328 18:54:06.249867 20480 solver.cpp:203]     Train net output #0: loss = 0.710259 (* 1 = 0.710259 loss)
I0328 18:54:06.249881 20480 solver.cpp:449] Iteration 49880, lr = 5e-05
I0328 18:55:36.487054 20480 solver.cpp:188] Iteration 49920, loss = 0.70264
I0328 18:55:36.487174 20480 solver.cpp:203]     Train net output #0: loss = 0.70264 (* 1 = 0.70264 loss)
I0328 18:55:36.487195 20480 solver.cpp:449] Iteration 49920, lr = 5e-05
I0328 18:57:07.799136 20480 solver.cpp:188] Iteration 49960, loss = 0.761416
I0328 18:57:07.799268 20480 solver.cpp:203]     Train net output #0: loss = 0.761416 (* 1 = 0.761416 loss)
I0328 18:57:07.799278 20480 solver.cpp:449] Iteration 49960, lr = 5e-05
I0328 18:58:40.883690 20480 solver.cpp:337] Snapshotting to cache/flic/flic_iter_50000.caffemodel
I0328 18:58:42.019418 20480 solver.cpp:345] Snapshotting solver state to cache/flic/flic_iter_50000.solverstate
I0328 18:58:42.520015 20480 solver.cpp:266] Iteration 50000, Testing net (#0)
I0328 18:59:06.806820 20480 solver.cpp:317]     Test net output #0: accuracy = 0.691972
I0328 18:59:06.806859 20480 solver.cpp:317]     Test net output #1: loss = 0.9204 (* 1 = 0.9204 loss)
I0328 18:59:07.465368 20480 solver.cpp:188] Iteration 50000, loss = 0.66125
I0328 18:59:07.465410 20480 solver.cpp:203]     Train net output #0: loss = 0.66125 (* 1 = 0.66125 loss)
I0328 18:59:07.465428 20480 solver.cpp:449] Iteration 50000, lr = 5e-05
I0328 19:00:55.871279 20480 solver.cpp:188] Iteration 50040, loss = 0.748489
I0328 19:00:55.871381 20480 solver.cpp:203]     Train net output #0: loss = 0.748489 (* 1 = 0.748489 loss)
I0328 19:00:55.871390 20480 solver.cpp:449] Iteration 50040, lr = 5e-05
I0328 19:02:37.161912 20480 solver.cpp:188] Iteration 50080, loss = 0.76588
I0328 19:02:37.161989 20480 solver.cpp:203]     Train net output #0: loss = 0.76588 (* 1 = 0.76588 loss)
I0328 19:02:37.161998 20480 solver.cpp:449] Iteration 50080, lr = 5e-05
I0328 19:04:18.843900 20480 solver.cpp:188] Iteration 50120, loss = 0.70343
I0328 19:04:18.843991 20480 solver.cpp:203]     Train net output #0: loss = 0.70343 (* 1 = 0.70343 loss)
I0328 19:04:18.844000 20480 solver.cpp:449] Iteration 50120, lr = 5e-05
I0328 19:05:57.961549 20480 solver.cpp:188] Iteration 50160, loss = 0.758728
I0328 19:05:57.961681 20480 solver.cpp:203]     Train net output #0: loss = 0.758728 (* 1 = 0.758728 loss)
I0328 19:05:57.961700 20480 solver.cpp:449] Iteration 50160, lr = 5e-05
I0328 19:07:37.996963 20480 solver.cpp:188] Iteration 50200, loss = 0.804309
I0328 19:07:37.997059 20480 solver.cpp:203]     Train net output #0: loss = 0.804309 (* 1 = 0.804309 loss)
I0328 19:07:37.997079 20480 solver.cpp:449] Iteration 50200, lr = 5e-05
I0328 19:09:17.878111 20480 solver.cpp:188] Iteration 50240, loss = 0.708448
I0328 19:09:17.878237 20480 solver.cpp:203]     Train net output #0: loss = 0.708448 (* 1 = 0.708448 loss)
I0328 19:09:17.878255 20480 solver.cpp:449] Iteration 50240, lr = 5e-05
I0328 19:10:57.555088 20480 solver.cpp:188] Iteration 50280, loss = 0.718089
I0328 19:10:57.555181 20480 solver.cpp:203]     Train net output #0: loss = 0.718089 (* 1 = 0.718089 loss)
I0328 19:10:57.555208 20480 solver.cpp:449] Iteration 50280, lr = 5e-05
I0328 19:12:38.411231 20480 solver.cpp:188] Iteration 50320, loss = 0.703753
I0328 19:12:38.411330 20480 solver.cpp:203]     Train net output #0: loss = 0.703753 (* 1 = 0.703753 loss)
I0328 19:12:38.411344 20480 solver.cpp:449] Iteration 50320, lr = 5e-05
I0328 19:14:16.828047 20480 solver.cpp:188] Iteration 50360, loss = 0.813699
I0328 19:14:16.828136 20480 solver.cpp:203]     Train net output #0: loss = 0.813699 (* 1 = 0.813699 loss)
I0328 19:14:16.828155 20480 solver.cpp:449] Iteration 50360, lr = 5e-05
I0328 19:15:56.250543 20480 solver.cpp:188] Iteration 50400, loss = 0.759785
I0328 19:15:56.250618 20480 solver.cpp:203]     Train net output #0: loss = 0.759785 (* 1 = 0.759785 loss)
I0328 19:15:56.250627 20480 solver.cpp:449] Iteration 50400, lr = 5e-05
I0328 19:17:34.684844 20480 solver.cpp:188] Iteration 50440, loss = 0.699232
I0328 19:17:34.684944 20480 solver.cpp:203]     Train net output #0: loss = 0.699232 (* 1 = 0.699232 loss)
I0328 19:17:34.684954 20480 solver.cpp:449] Iteration 50440, lr = 5e-05
I0328 19:19:13.037237 20480 solver.cpp:188] Iteration 50480, loss = 0.773158
I0328 19:19:13.037343 20480 solver.cpp:203]     Train net output #0: loss = 0.773158 (* 1 = 0.773158 loss)
I0328 19:19:13.037355 20480 solver.cpp:449] Iteration 50480, lr = 5e-05
I0328 19:20:50.434139 20480 solver.cpp:188] Iteration 50520, loss = 0.723661
I0328 19:20:50.434216 20480 solver.cpp:203]     Train net output #0: loss = 0.723661 (* 1 = 0.723661 loss)
I0328 19:20:50.434233 20480 solver.cpp:449] Iteration 50520, lr = 5e-05
I0328 19:22:28.660722 20480 solver.cpp:188] Iteration 50560, loss = 0.856834
I0328 19:22:28.660851 20480 solver.cpp:203]     Train net output #0: loss = 0.856834 (* 1 = 0.856834 loss)
I0328 19:22:28.660871 20480 solver.cpp:449] Iteration 50560, lr = 5e-05
I0328 19:24:06.361260 20480 solver.cpp:188] Iteration 50600, loss = 0.777159
I0328 19:24:06.361377 20480 solver.cpp:203]     Train net output #0: loss = 0.777159 (* 1 = 0.777159 loss)
I0328 19:24:06.361395 20480 solver.cpp:449] Iteration 50600, lr = 5e-05
I0328 19:25:41.502892 20480 solver.cpp:188] Iteration 50640, loss = 0.7195
I0328 19:25:41.502966 20480 solver.cpp:203]     Train net output #0: loss = 0.7195 (* 1 = 0.7195 loss)
I0328 19:25:41.502974 20480 solver.cpp:449] Iteration 50640, lr = 5e-05
I0328 19:27:16.550539 20480 solver.cpp:188] Iteration 50680, loss = 0.739501
I0328 19:27:16.550662 20480 solver.cpp:203]     Train net output #0: loss = 0.739501 (* 1 = 0.739501 loss)
I0328 19:27:16.550673 20480 solver.cpp:449] Iteration 50680, lr = 5e-05
I0328 19:28:51.454442 20480 solver.cpp:188] Iteration 50720, loss = 0.835336
I0328 19:28:51.454556 20480 solver.cpp:203]     Train net output #0: loss = 0.835336 (* 1 = 0.835336 loss)
I0328 19:28:51.454576 20480 solver.cpp:449] Iteration 50720, lr = 5e-05
I0328 19:30:24.499558 20480 solver.cpp:188] Iteration 50760, loss = 0.785786
I0328 19:30:24.499647 20480 solver.cpp:203]     Train net output #0: loss = 0.785786 (* 1 = 0.785786 loss)
I0328 19:30:24.499656 20480 solver.cpp:449] Iteration 50760, lr = 5e-05
I0328 19:31:53.662240 20480 solver.cpp:188] Iteration 50800, loss = 0.624726
I0328 19:31:53.662343 20480 solver.cpp:203]     Train net output #0: loss = 0.624726 (* 1 = 0.624726 loss)
I0328 19:31:53.662364 20480 solver.cpp:449] Iteration 50800, lr = 5e-05
I0328 19:33:21.352871 20480 solver.cpp:188] Iteration 50840, loss = 0.781549
I0328 19:33:21.352988 20480 solver.cpp:203]     Train net output #0: loss = 0.781549 (* 1 = 0.781549 loss)
I0328 19:33:21.353005 20480 solver.cpp:449] Iteration 50840, lr = 5e-05
I0328 19:34:49.469385 20480 solver.cpp:188] Iteration 50880, loss = 0.909035
I0328 19:34:49.469481 20480 solver.cpp:203]     Train net output #0: loss = 0.909035 (* 1 = 0.909035 loss)
I0328 19:34:49.469491 20480 solver.cpp:449] Iteration 50880, lr = 5e-05
I0328 19:36:16.440801 20480 solver.cpp:188] Iteration 50920, loss = 0.847444
I0328 19:36:16.440907 20480 solver.cpp:203]     Train net output #0: loss = 0.847444 (* 1 = 0.847444 loss)
I0328 19:36:16.440914 20480 solver.cpp:449] Iteration 50920, lr = 5e-05
I0328 19:37:46.210559 20480 solver.cpp:188] Iteration 50960, loss = 0.808609
I0328 19:37:46.210665 20480 solver.cpp:203]     Train net output #0: loss = 0.808609 (* 1 = 0.808609 loss)
I0328 19:37:46.210675 20480 solver.cpp:449] Iteration 50960, lr = 5e-05
I0328 19:39:14.934837 20480 solver.cpp:188] Iteration 51000, loss = 0.837761
I0328 19:39:14.934924 20480 solver.cpp:203]     Train net output #0: loss = 0.837761 (* 1 = 0.837761 loss)
I0328 19:39:14.934943 20480 solver.cpp:449] Iteration 51000, lr = 5e-05
I0328 19:40:42.980623 20480 solver.cpp:188] Iteration 51040, loss = 0.759282
I0328 19:40:42.980743 20480 solver.cpp:203]     Train net output #0: loss = 0.759282 (* 1 = 0.759282 loss)
I0328 19:40:42.980756 20480 solver.cpp:449] Iteration 51040, lr = 5e-05
I0328 19:42:13.018439 20480 solver.cpp:188] Iteration 51080, loss = 0.761879
I0328 19:42:13.018544 20480 solver.cpp:203]     Train net output #0: loss = 0.761879 (* 1 = 0.761879 loss)
I0328 19:42:13.018553 20480 solver.cpp:449] Iteration 51080, lr = 5e-05
I0328 19:43:42.936260 20480 solver.cpp:188] Iteration 51120, loss = 0.758411
I0328 19:43:42.936364 20480 solver.cpp:203]     Train net output #0: loss = 0.758411 (* 1 = 0.758411 loss)
I0328 19:43:42.936372 20480 solver.cpp:449] Iteration 51120, lr = 5e-05
I0328 19:45:13.162349 20480 solver.cpp:188] Iteration 51160, loss = 0.79438
I0328 19:45:13.162485 20480 solver.cpp:203]     Train net output #0: loss = 0.79438 (* 1 = 0.79438 loss)
I0328 19:45:13.162495 20480 solver.cpp:449] Iteration 51160, lr = 5e-05
I0328 19:46:43.784884 20480 solver.cpp:188] Iteration 51200, loss = 0.770822
I0328 19:46:43.784976 20480 solver.cpp:203]     Train net output #0: loss = 0.770822 (* 1 = 0.770822 loss)
I0328 19:46:43.784983 20480 solver.cpp:449] Iteration 51200, lr = 5e-05
I0328 19:48:13.498785 20480 solver.cpp:188] Iteration 51240, loss = 0.76764
I0328 19:48:13.498889 20480 solver.cpp:203]     Train net output #0: loss = 0.76764 (* 1 = 0.76764 loss)
I0328 19:48:13.498898 20480 solver.cpp:449] Iteration 51240, lr = 5e-05
I0328 19:49:43.881067 20480 solver.cpp:188] Iteration 51280, loss = 0.719738
I0328 19:49:43.881196 20480 solver.cpp:203]     Train net output #0: loss = 0.719738 (* 1 = 0.719738 loss)
I0328 19:49:43.881216 20480 solver.cpp:449] Iteration 51280, lr = 5e-05
I0328 19:51:14.585468 20480 solver.cpp:188] Iteration 51320, loss = 0.718847
I0328 19:51:14.585587 20480 solver.cpp:203]     Train net output #0: loss = 0.718847 (* 1 = 0.718847 loss)
I0328 19:51:14.585598 20480 solver.cpp:449] Iteration 51320, lr = 5e-05
I0328 19:52:46.670241 20480 solver.cpp:188] Iteration 51360, loss = 0.681
I0328 19:52:46.670358 20480 solver.cpp:203]     Train net output #0: loss = 0.681 (* 1 = 0.681 loss)
I0328 19:52:46.670377 20480 solver.cpp:449] Iteration 51360, lr = 5e-05
I0328 19:54:17.275288 20480 solver.cpp:188] Iteration 51400, loss = 0.707627
I0328 19:54:17.275413 20480 solver.cpp:203]     Train net output #0: loss = 0.707627 (* 1 = 0.707627 loss)
I0328 19:54:17.275432 20480 solver.cpp:449] Iteration 51400, lr = 5e-05
I0328 19:55:48.625282 20480 solver.cpp:188] Iteration 51440, loss = 0.840973
I0328 19:55:48.625356 20480 solver.cpp:203]     Train net output #0: loss = 0.840973 (* 1 = 0.840973 loss)
I0328 19:55:48.625365 20480 solver.cpp:449] Iteration 51440, lr = 5e-05
I0328 19:57:20.117497 20480 solver.cpp:188] Iteration 51480, loss = 0.817536
I0328 19:57:20.117581 20480 solver.cpp:203]     Train net output #0: loss = 0.817536 (* 1 = 0.817536 loss)
I0328 19:57:20.117594 20480 solver.cpp:449] Iteration 51480, lr = 5e-05
I0328 19:58:51.772233 20480 solver.cpp:188] Iteration 51520, loss = 0.720474
I0328 19:58:51.772351 20480 solver.cpp:203]     Train net output #0: loss = 0.720474 (* 1 = 0.720474 loss)
I0328 19:58:51.772369 20480 solver.cpp:449] Iteration 51520, lr = 5e-05
I0328 20:00:23.483672 20480 solver.cpp:188] Iteration 51560, loss = 0.756534
I0328 20:00:23.483749 20480 solver.cpp:203]     Train net output #0: loss = 0.756534 (* 1 = 0.756534 loss)
I0328 20:00:23.483758 20480 solver.cpp:449] Iteration 51560, lr = 5e-05
I0328 20:01:56.242348 20480 solver.cpp:188] Iteration 51600, loss = 0.697152
I0328 20:01:56.242449 20480 solver.cpp:203]     Train net output #0: loss = 0.697152 (* 1 = 0.697152 loss)
I0328 20:01:56.242468 20480 solver.cpp:449] Iteration 51600, lr = 5e-05
I0328 20:03:28.161491 20480 solver.cpp:188] Iteration 51640, loss = 0.678856
I0328 20:03:28.161622 20480 solver.cpp:203]     Train net output #0: loss = 0.678856 (* 1 = 0.678856 loss)
I0328 20:03:28.161644 20480 solver.cpp:449] Iteration 51640, lr = 5e-05
I0328 20:05:02.729051 20480 solver.cpp:188] Iteration 51680, loss = 0.847853
I0328 20:05:02.729218 20480 solver.cpp:203]     Train net output #0: loss = 0.847853 (* 1 = 0.847853 loss)
I0328 20:05:02.729228 20480 solver.cpp:449] Iteration 51680, lr = 5e-05
I0328 20:06:36.894474 20480 solver.cpp:188] Iteration 51720, loss = 0.734626
I0328 20:06:36.894578 20480 solver.cpp:203]     Train net output #0: loss = 0.734626 (* 1 = 0.734626 loss)
I0328 20:06:36.894587 20480 solver.cpp:449] Iteration 51720, lr = 5e-05
I0328 20:08:08.562386 20480 solver.cpp:188] Iteration 51760, loss = 0.885581
I0328 20:08:08.562481 20480 solver.cpp:203]     Train net output #0: loss = 0.885581 (* 1 = 0.885581 loss)
I0328 20:08:08.562490 20480 solver.cpp:449] Iteration 51760, lr = 5e-05
I0328 20:09:41.628412 20480 solver.cpp:188] Iteration 51800, loss = 0.799349
I0328 20:09:41.628536 20480 solver.cpp:203]     Train net output #0: loss = 0.799349 (* 1 = 0.799349 loss)
I0328 20:09:41.628556 20480 solver.cpp:449] Iteration 51800, lr = 5e-05
I0328 20:11:15.282412 20480 solver.cpp:188] Iteration 51840, loss = 0.809588
I0328 20:11:15.282497 20480 solver.cpp:203]     Train net output #0: loss = 0.809588 (* 1 = 0.809588 loss)
I0328 20:11:15.282506 20480 solver.cpp:449] Iteration 51840, lr = 5e-05
I0328 20:12:49.536133 20480 solver.cpp:188] Iteration 51880, loss = 0.800368
I0328 20:12:49.536214 20480 solver.cpp:203]     Train net output #0: loss = 0.800368 (* 1 = 0.800368 loss)
I0328 20:12:49.536226 20480 solver.cpp:449] Iteration 51880, lr = 5e-05
I0328 20:14:21.937712 20480 solver.cpp:188] Iteration 51920, loss = 0.77941
I0328 20:14:21.937822 20480 solver.cpp:203]     Train net output #0: loss = 0.77941 (* 1 = 0.77941 loss)
I0328 20:14:21.937831 20480 solver.cpp:449] Iteration 51920, lr = 5e-05
I0328 20:15:55.700076 20480 solver.cpp:188] Iteration 51960, loss = 0.89547
I0328 20:15:55.700177 20480 solver.cpp:203]     Train net output #0: loss = 0.89547 (* 1 = 0.89547 loss)
I0328 20:15:55.700186 20480 solver.cpp:449] Iteration 51960, lr = 5e-05
I0328 20:17:27.255296 20480 solver.cpp:188] Iteration 52000, loss = 0.775744
I0328 20:17:27.255417 20480 solver.cpp:203]     Train net output #0: loss = 0.775744 (* 1 = 0.775744 loss)
I0328 20:17:27.255436 20480 solver.cpp:449] Iteration 52000, lr = 5e-05
I0328 20:19:00.230473 20480 solver.cpp:188] Iteration 52040, loss = 0.839565
I0328 20:19:00.230620 20480 solver.cpp:203]     Train net output #0: loss = 0.839565 (* 1 = 0.839565 loss)
I0328 20:19:00.230630 20480 solver.cpp:449] Iteration 52040, lr = 5e-05
I0328 20:20:31.389320 20480 solver.cpp:188] Iteration 52080, loss = 0.753978
I0328 20:20:31.389396 20480 solver.cpp:203]     Train net output #0: loss = 0.753978 (* 1 = 0.753978 loss)
I0328 20:20:31.389405 20480 solver.cpp:449] Iteration 52080, lr = 5e-05
I0328 20:22:02.281069 20480 solver.cpp:188] Iteration 52120, loss = 0.749552
I0328 20:22:02.281149 20480 solver.cpp:203]     Train net output #0: loss = 0.749552 (* 1 = 0.749552 loss)
I0328 20:22:02.281158 20480 solver.cpp:449] Iteration 52120, lr = 5e-05
I0328 20:23:33.343132 20480 solver.cpp:188] Iteration 52160, loss = 0.75891
I0328 20:23:33.343307 20480 solver.cpp:203]     Train net output #0: loss = 0.75891 (* 1 = 0.75891 loss)
I0328 20:23:33.343317 20480 solver.cpp:449] Iteration 52160, lr = 5e-05
I0328 20:25:02.465720 20480 solver.cpp:188] Iteration 52200, loss = 0.874431
I0328 20:25:02.465803 20480 solver.cpp:203]     Train net output #0: loss = 0.874431 (* 1 = 0.874431 loss)
I0328 20:25:02.465821 20480 solver.cpp:449] Iteration 52200, lr = 5e-05
I0328 20:26:34.077281 20480 solver.cpp:188] Iteration 52240, loss = 0.718965
I0328 20:26:34.077405 20480 solver.cpp:203]     Train net output #0: loss = 0.718965 (* 1 = 0.718965 loss)
I0328 20:26:34.077417 20480 solver.cpp:449] Iteration 52240, lr = 5e-05
I0328 20:28:05.167527 20480 solver.cpp:188] Iteration 52280, loss = 0.885789
I0328 20:28:05.167608 20480 solver.cpp:203]     Train net output #0: loss = 0.885789 (* 1 = 0.885789 loss)
I0328 20:28:05.167618 20480 solver.cpp:449] Iteration 52280, lr = 5e-05
I0328 20:29:36.145606 20480 solver.cpp:188] Iteration 52320, loss = 0.913587
I0328 20:29:36.145730 20480 solver.cpp:203]     Train net output #0: loss = 0.913587 (* 1 = 0.913587 loss)
I0328 20:29:36.145750 20480 solver.cpp:449] Iteration 52320, lr = 5e-05
I0328 20:31:07.628164 20480 solver.cpp:188] Iteration 52360, loss = 0.754888
I0328 20:31:07.628288 20480 solver.cpp:203]     Train net output #0: loss = 0.754888 (* 1 = 0.754888 loss)
I0328 20:31:07.628299 20480 solver.cpp:449] Iteration 52360, lr = 5e-05
I0328 20:32:37.518285 20480 solver.cpp:188] Iteration 52400, loss = 0.837927
I0328 20:32:37.518360 20480 solver.cpp:203]     Train net output #0: loss = 0.837927 (* 1 = 0.837927 loss)
I0328 20:32:37.518379 20480 solver.cpp:449] Iteration 52400, lr = 5e-05
I0328 20:34:07.740212 20480 solver.cpp:188] Iteration 52440, loss = 0.787316
I0328 20:34:07.740278 20480 solver.cpp:203]     Train net output #0: loss = 0.787316 (* 1 = 0.787316 loss)
I0328 20:34:07.740288 20480 solver.cpp:449] Iteration 52440, lr = 5e-05
I0328 20:35:37.846331 20480 solver.cpp:188] Iteration 52480, loss = 0.821775
I0328 20:35:37.846397 20480 solver.cpp:203]     Train net output #0: loss = 0.821775 (* 1 = 0.821775 loss)
I0328 20:35:37.846406 20480 solver.cpp:449] Iteration 52480, lr = 5e-05
I0328 20:37:06.515796 20480 solver.cpp:188] Iteration 52520, loss = 0.845848
I0328 20:37:06.515919 20480 solver.cpp:203]     Train net output #0: loss = 0.845848 (* 1 = 0.845848 loss)
I0328 20:37:06.515938 20480 solver.cpp:449] Iteration 52520, lr = 5e-05
I0328 20:38:35.766495 20480 solver.cpp:188] Iteration 52560, loss = 0.809107
I0328 20:38:35.766582 20480 solver.cpp:203]     Train net output #0: loss = 0.809107 (* 1 = 0.809107 loss)
I0328 20:38:35.766600 20480 solver.cpp:449] Iteration 52560, lr = 5e-05
I0328 20:40:06.764297 20480 solver.cpp:188] Iteration 52600, loss = 0.812189
I0328 20:40:06.764396 20480 solver.cpp:203]     Train net output #0: loss = 0.812189 (* 1 = 0.812189 loss)
I0328 20:40:06.764415 20480 solver.cpp:449] Iteration 52600, lr = 5e-05
I0328 20:41:37.912245 20480 solver.cpp:188] Iteration 52640, loss = 0.675627
I0328 20:41:37.912369 20480 solver.cpp:203]     Train net output #0: loss = 0.675627 (* 1 = 0.675627 loss)
I0328 20:41:37.912387 20480 solver.cpp:449] Iteration 52640, lr = 5e-05
I0328 20:43:09.468948 20480 solver.cpp:188] Iteration 52680, loss = 0.735402
I0328 20:43:09.469063 20480 solver.cpp:203]     Train net output #0: loss = 0.735402 (* 1 = 0.735402 loss)
I0328 20:43:09.469082 20480 solver.cpp:449] Iteration 52680, lr = 5e-05
I0328 20:44:39.705045 20480 solver.cpp:188] Iteration 52720, loss = 0.770761
I0328 20:44:39.705149 20480 solver.cpp:203]     Train net output #0: loss = 0.770761 (* 1 = 0.770761 loss)
I0328 20:44:39.705157 20480 solver.cpp:449] Iteration 52720, lr = 5e-05
I0328 20:46:13.894632 20480 solver.cpp:188] Iteration 52760, loss = 0.781881
I0328 20:46:13.894708 20480 solver.cpp:203]     Train net output #0: loss = 0.781881 (* 1 = 0.781881 loss)
I0328 20:46:13.894719 20480 solver.cpp:449] Iteration 52760, lr = 5e-05
I0328 20:47:46.991233 20480 solver.cpp:188] Iteration 52800, loss = 0.79905
I0328 20:47:46.991291 20480 solver.cpp:203]     Train net output #0: loss = 0.79905 (* 1 = 0.79905 loss)
I0328 20:47:46.991299 20480 solver.cpp:449] Iteration 52800, lr = 5e-05
I0328 20:49:21.193204 20480 solver.cpp:188] Iteration 52840, loss = 0.672771
I0328 20:49:21.193387 20480 solver.cpp:203]     Train net output #0: loss = 0.672771 (* 1 = 0.672771 loss)
I0328 20:49:21.193411 20480 solver.cpp:449] Iteration 52840, lr = 5e-05
I0328 20:51:07.859599 20480 solver.cpp:188] Iteration 52880, loss = 0.81373
I0328 20:51:07.859699 20480 solver.cpp:203]     Train net output #0: loss = 0.81373 (* 1 = 0.81373 loss)
I0328 20:51:07.859709 20480 solver.cpp:449] Iteration 52880, lr = 5e-05
I0328 20:52:52.186483 20480 solver.cpp:188] Iteration 52920, loss = 0.678261
I0328 20:52:52.186610 20480 solver.cpp:203]     Train net output #0: loss = 0.678261 (* 1 = 0.678261 loss)
I0328 20:52:52.186622 20480 solver.cpp:449] Iteration 52920, lr = 5e-05
I0328 20:54:39.267591 20480 solver.cpp:188] Iteration 52960, loss = 0.872847
I0328 20:54:39.267695 20480 solver.cpp:203]     Train net output #0: loss = 0.872847 (* 1 = 0.872847 loss)
I0328 20:54:39.267704 20480 solver.cpp:449] Iteration 52960, lr = 5e-05
I0328 20:56:27.183147 20480 solver.cpp:188] Iteration 53000, loss = 0.701416
I0328 20:56:27.183217 20480 solver.cpp:203]     Train net output #0: loss = 0.701416 (* 1 = 0.701416 loss)
I0328 20:56:27.183225 20480 solver.cpp:449] Iteration 53000, lr = 5e-05
I0328 20:58:12.347666 20480 solver.cpp:188] Iteration 53040, loss = 0.726579
I0328 20:58:12.347743 20480 solver.cpp:203]     Train net output #0: loss = 0.726579 (* 1 = 0.726579 loss)
I0328 20:58:12.347753 20480 solver.cpp:449] Iteration 53040, lr = 5e-05
I0328 20:59:59.808691 20480 solver.cpp:188] Iteration 53080, loss = 0.842101
I0328 20:59:59.808773 20480 solver.cpp:203]     Train net output #0: loss = 0.842101 (* 1 = 0.842101 loss)
I0328 20:59:59.808781 20480 solver.cpp:449] Iteration 53080, lr = 5e-05
I0328 21:01:46.907387 20480 solver.cpp:188] Iteration 53120, loss = 0.769838
I0328 21:01:46.907533 20480 solver.cpp:203]     Train net output #0: loss = 0.769838 (* 1 = 0.769838 loss)
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I0328 21:03:34.887430 20480 solver.cpp:188] Iteration 53160, loss = 0.673877
I0328 21:03:34.887568 20480 solver.cpp:203]     Train net output #0: loss = 0.673877 (* 1 = 0.673877 loss)
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I0328 21:05:24.692307 20480 solver.cpp:188] Iteration 53200, loss = 0.743879
I0328 21:05:24.692451 20480 solver.cpp:203]     Train net output #0: loss = 0.743879 (* 1 = 0.743879 loss)
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I0328 21:07:12.646014 20480 solver.cpp:188] Iteration 53240, loss = 0.838823
I0328 21:07:12.646102 20480 solver.cpp:203]     Train net output #0: loss = 0.838823 (* 1 = 0.838823 loss)
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I0328 21:08:53.607417 20480 solver.cpp:188] Iteration 53280, loss = 0.738753
I0328 21:08:53.607511 20480 solver.cpp:203]     Train net output #0: loss = 0.738753 (* 1 = 0.738753 loss)
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I0328 21:10:31.981416 20480 solver.cpp:188] Iteration 53320, loss = 0.684698
I0328 21:10:31.981509 20480 solver.cpp:203]     Train net output #0: loss = 0.684698 (* 1 = 0.684698 loss)
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I0328 21:12:12.136764 20480 solver.cpp:188] Iteration 53360, loss = 0.724192
I0328 21:12:12.136908 20480 solver.cpp:203]     Train net output #0: loss = 0.724192 (* 1 = 0.724192 loss)
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I0328 21:13:50.481971 20480 solver.cpp:188] Iteration 53400, loss = 0.60434
I0328 21:13:50.482055 20480 solver.cpp:203]     Train net output #0: loss = 0.60434 (* 1 = 0.60434 loss)
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I0328 21:15:28.555294 20480 solver.cpp:188] Iteration 53440, loss = 0.65163
I0328 21:15:28.555418 20480 solver.cpp:203]     Train net output #0: loss = 0.65163 (* 1 = 0.65163 loss)
I0328 21:15:28.555438 20480 solver.cpp:449] Iteration 53440, lr = 5e-05
I0328 21:17:06.924372 20480 solver.cpp:188] Iteration 53480, loss = 0.697416
I0328 21:17:06.924494 20480 solver.cpp:203]     Train net output #0: loss = 0.697416 (* 1 = 0.697416 loss)
I0328 21:17:06.924504 20480 solver.cpp:449] Iteration 53480, lr = 5e-05
I0328 21:18:45.802630 20480 solver.cpp:188] Iteration 53520, loss = 0.679432
I0328 21:18:45.802769 20480 solver.cpp:203]     Train net output #0: loss = 0.679432 (* 1 = 0.679432 loss)
I0328 21:18:45.802789 20480 solver.cpp:449] Iteration 53520, lr = 5e-05
I0328 21:20:23.156173 20480 solver.cpp:188] Iteration 53560, loss = 0.623778
I0328 21:20:23.156319 20480 solver.cpp:203]     Train net output #0: loss = 0.623778 (* 1 = 0.623778 loss)
I0328 21:20:23.156329 20480 solver.cpp:449] Iteration 53560, lr = 5e-05
I0328 21:21:56.612128 20480 solver.cpp:188] Iteration 53600, loss = 0.680393
I0328 21:21:56.612216 20480 solver.cpp:203]     Train net output #0: loss = 0.680393 (* 1 = 0.680393 loss)
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I0328 21:23:24.793625 20480 solver.cpp:188] Iteration 53640, loss = 0.758442
I0328 21:23:24.793740 20480 solver.cpp:203]     Train net output #0: loss = 0.758442 (* 1 = 0.758442 loss)
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I0328 21:24:51.345397 20480 solver.cpp:188] Iteration 53680, loss = 0.567956
I0328 21:24:51.345489 20480 solver.cpp:203]     Train net output #0: loss = 0.567956 (* 1 = 0.567956 loss)
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I0328 21:26:18.165765 20480 solver.cpp:188] Iteration 53720, loss = 0.60409
I0328 21:26:18.165863 20480 solver.cpp:203]     Train net output #0: loss = 0.60409 (* 1 = 0.60409 loss)
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I0328 21:27:45.686447 20480 solver.cpp:188] Iteration 53760, loss = 0.681641
I0328 21:27:45.686573 20480 solver.cpp:203]     Train net output #0: loss = 0.681641 (* 1 = 0.681641 loss)
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I0328 21:29:13.640020 20480 solver.cpp:188] Iteration 53800, loss = 0.647765
I0328 21:29:13.640106 20480 solver.cpp:203]     Train net output #0: loss = 0.647765 (* 1 = 0.647765 loss)
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I0328 21:30:33.943228 20480 solver.cpp:188] Iteration 53840, loss = 0.789865
I0328 21:30:33.943375 20480 solver.cpp:203]     Train net output #0: loss = 0.789865 (* 1 = 0.789865 loss)
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I0328 21:32:02.429568 20480 solver.cpp:188] Iteration 53880, loss = 0.67986
I0328 21:32:02.429661 20480 solver.cpp:203]     Train net output #0: loss = 0.67986 (* 1 = 0.67986 loss)
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I0328 21:33:30.125463 20480 solver.cpp:188] Iteration 53920, loss = 0.754798
I0328 21:33:30.125602 20480 solver.cpp:203]     Train net output #0: loss = 0.754798 (* 1 = 0.754798 loss)
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I0328 21:34:57.618475 20480 solver.cpp:188] Iteration 53960, loss = 0.840374
I0328 21:34:57.618559 20480 solver.cpp:203]     Train net output #0: loss = 0.840374 (* 1 = 0.840374 loss)
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I0328 21:36:25.805536 20480 solver.cpp:188] Iteration 54000, loss = 0.794411
I0328 21:36:25.805665 20480 solver.cpp:203]     Train net output #0: loss = 0.794411 (* 1 = 0.794411 loss)
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I0328 21:37:54.848515 20480 solver.cpp:188] Iteration 54040, loss = 0.785613
I0328 21:37:54.848659 20480 solver.cpp:203]     Train net output #0: loss = 0.785613 (* 1 = 0.785613 loss)
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I0328 21:39:23.681077 20480 solver.cpp:188] Iteration 54080, loss = 0.759615
I0328 21:39:23.681232 20480 solver.cpp:203]     Train net output #0: loss = 0.759615 (* 1 = 0.759615 loss)
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I0328 21:40:54.260705 20480 solver.cpp:188] Iteration 54120, loss = 0.771645
I0328 21:40:54.260828 20480 solver.cpp:203]     Train net output #0: loss = 0.771645 (* 1 = 0.771645 loss)
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I0328 21:42:25.771805 20480 solver.cpp:188] Iteration 54160, loss = 0.762837
I0328 21:42:25.771926 20480 solver.cpp:203]     Train net output #0: loss = 0.762837 (* 1 = 0.762837 loss)
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I0328 21:43:56.862789 20480 solver.cpp:188] Iteration 54200, loss = 0.778089
I0328 21:43:56.862910 20480 solver.cpp:203]     Train net output #0: loss = 0.778089 (* 1 = 0.778089 loss)
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I0328 21:45:04.493052 20480 solver.cpp:188] Iteration 54240, loss = 0.745258
I0328 21:45:04.493135 20480 solver.cpp:203]     Train net output #0: loss = 0.745258 (* 1 = 0.745258 loss)
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I0328 21:46:32.681992 20480 solver.cpp:188] Iteration 54280, loss = 0.733228
I0328 21:46:32.682083 20480 solver.cpp:203]     Train net output #0: loss = 0.733228 (* 1 = 0.733228 loss)
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I0328 21:48:05.234400 20480 solver.cpp:188] Iteration 54320, loss = 0.745505
I0328 21:48:05.234484 20480 solver.cpp:203]     Train net output #0: loss = 0.745505 (* 1 = 0.745505 loss)
I0328 21:48:05.234493 20480 solver.cpp:449] Iteration 54320, lr = 5e-05
I0328 21:49:37.343756 20480 solver.cpp:188] Iteration 54360, loss = 0.81535
I0328 21:49:37.343858 20480 solver.cpp:203]     Train net output #0: loss = 0.81535 (* 1 = 0.81535 loss)
I0328 21:49:37.343883 20480 solver.cpp:449] Iteration 54360, lr = 5e-05
I0328 21:51:04.018900 20480 solver.cpp:188] Iteration 54400, loss = 0.701798
I0328 21:51:04.018981 20480 solver.cpp:203]     Train net output #0: loss = 0.701798 (* 1 = 0.701798 loss)
I0328 21:51:04.018990 20480 solver.cpp:449] Iteration 54400, lr = 5e-05
I0328 21:52:38.066426 20480 solver.cpp:188] Iteration 54440, loss = 0.742115
I0328 21:52:38.066505 20480 solver.cpp:203]     Train net output #0: loss = 0.742115 (* 1 = 0.742115 loss)
I0328 21:52:38.066514 20480 solver.cpp:449] Iteration 54440, lr = 5e-05
I0328 21:54:13.749057 20480 solver.cpp:188] Iteration 54480, loss = 0.72263
I0328 21:54:13.749135 20480 solver.cpp:203]     Train net output #0: loss = 0.72263 (* 1 = 0.72263 loss)
I0328 21:54:13.749143 20480 solver.cpp:449] Iteration 54480, lr = 5e-05
I0328 21:55:51.262140 20480 solver.cpp:188] Iteration 54520, loss = 0.705546
I0328 21:55:51.262245 20480 solver.cpp:203]     Train net output #0: loss = 0.705546 (* 1 = 0.705546 loss)
I0328 21:55:51.262259 20480 solver.cpp:449] Iteration 54520, lr = 5e-05
I0328 21:57:26.547554 20480 solver.cpp:188] Iteration 54560, loss = 0.718477
I0328 21:57:26.547682 20480 solver.cpp:203]     Train net output #0: loss = 0.718477 (* 1 = 0.718477 loss)
I0328 21:57:26.547693 20480 solver.cpp:449] Iteration 54560, lr = 5e-05
I0328 21:59:02.121328 20480 solver.cpp:188] Iteration 54600, loss = 0.72024
I0328 21:59:02.121417 20480 solver.cpp:203]     Train net output #0: loss = 0.72024 (* 1 = 0.72024 loss)
I0328 21:59:02.121426 20480 solver.cpp:449] Iteration 54600, lr = 5e-05
I0328 22:00:37.790781 20480 solver.cpp:188] Iteration 54640, loss = 0.80469
I0328 22:00:37.790915 20480 solver.cpp:203]     Train net output #0: loss = 0.80469 (* 1 = 0.80469 loss)
I0328 22:00:37.790930 20480 solver.cpp:449] Iteration 54640, lr = 5e-05
I0328 22:02:14.040197 20480 solver.cpp:188] Iteration 54680, loss = 0.696451
I0328 22:02:14.040318 20480 solver.cpp:203]     Train net output #0: loss = 0.696451 (* 1 = 0.696451 loss)
I0328 22:02:14.040328 20480 solver.cpp:449] Iteration 54680, lr = 5e-05
I0328 22:03:48.815522 20480 solver.cpp:188] Iteration 54720, loss = 0.786678
I0328 22:03:48.815652 20480 solver.cpp:203]     Train net output #0: loss = 0.786678 (* 1 = 0.786678 loss)
I0328 22:03:48.815673 20480 solver.cpp:449] Iteration 54720, lr = 5e-05
I0328 22:05:23.363729 20480 solver.cpp:188] Iteration 54760, loss = 0.702939
I0328 22:05:23.363854 20480 solver.cpp:203]     Train net output #0: loss = 0.702939 (* 1 = 0.702939 loss)
I0328 22:05:23.363873 20480 solver.cpp:449] Iteration 54760, lr = 5e-05
I0328 22:06:56.660161 20480 solver.cpp:188] Iteration 54800, loss = 0.705266
I0328 22:06:56.660292 20480 solver.cpp:203]     Train net output #0: loss = 0.705266 (* 1 = 0.705266 loss)
I0328 22:06:56.660301 20480 solver.cpp:449] Iteration 54800, lr = 5e-05
I0328 22:08:31.221587 20480 solver.cpp:188] Iteration 54840, loss = 0.708819
I0328 22:08:31.221730 20480 solver.cpp:203]     Train net output #0: loss = 0.708819 (* 1 = 0.708819 loss)
I0328 22:08:31.221750 20480 solver.cpp:449] Iteration 54840, lr = 5e-05
I0328 22:10:04.652034 20480 solver.cpp:188] Iteration 54880, loss = 0.754786
I0328 22:10:04.652143 20480 solver.cpp:203]     Train net output #0: loss = 0.754786 (* 1 = 0.754786 loss)
I0328 22:10:04.652153 20480 solver.cpp:449] Iteration 54880, lr = 5e-05
I0328 22:11:36.931597 20480 solver.cpp:188] Iteration 54920, loss = 0.739086
I0328 22:11:36.931737 20480 solver.cpp:203]     Train net output #0: loss = 0.739086 (* 1 = 0.739086 loss)
I0328 22:11:36.931748 20480 solver.cpp:449] Iteration 54920, lr = 5e-05
I0328 22:13:08.385125 20480 solver.cpp:188] Iteration 54960, loss = 0.729228
I0328 22:13:08.385254 20480 solver.cpp:203]     Train net output #0: loss = 0.729228 (* 1 = 0.729228 loss)
I0328 22:13:08.385267 20480 solver.cpp:449] Iteration 54960, lr = 5e-05
I0328 22:14:39.954049 20480 solver.cpp:337] Snapshotting to cache/flic/flic_iter_55000.caffemodel
I0328 22:14:41.205797 20480 solver.cpp:345] Snapshotting solver state to cache/flic/flic_iter_55000.solverstate
I0328 22:14:41.672502 20480 solver.cpp:266] Iteration 55000, Testing net (#0)
I0328 22:15:10.185087 20480 solver.cpp:317]     Test net output #0: accuracy = 0.693083
I0328 22:15:10.185178 20480 solver.cpp:317]     Test net output #1: loss = 0.917283 (* 1 = 0.917283 loss)
I0328 22:15:10.845124 20480 solver.cpp:188] Iteration 55000, loss = 0.71247
I0328 22:15:10.845162 20480 solver.cpp:203]     Train net output #0: loss = 0.71247 (* 1 = 0.71247 loss)
I0328 22:15:10.845170 20480 solver.cpp:449] Iteration 55000, lr = 5e-05
I0328 22:16:51.494118 20480 solver.cpp:188] Iteration 55040, loss = 0.784145
I0328 22:16:51.494200 20480 solver.cpp:203]     Train net output #0: loss = 0.784145 (* 1 = 0.784145 loss)
I0328 22:16:51.494210 20480 solver.cpp:449] Iteration 55040, lr = 5e-05
I0328 22:18:28.810022 20480 solver.cpp:188] Iteration 55080, loss = 0.794147
I0328 22:18:28.810137 20480 solver.cpp:203]     Train net output #0: loss = 0.794147 (* 1 = 0.794147 loss)
I0328 22:18:28.810147 20480 solver.cpp:449] Iteration 55080, lr = 5e-05
I0328 22:20:06.409826 20480 solver.cpp:188] Iteration 55120, loss = 0.83265
I0328 22:20:06.409904 20480 solver.cpp:203]     Train net output #0: loss = 0.83265 (* 1 = 0.83265 loss)
I0328 22:20:06.409924 20480 solver.cpp:449] Iteration 55120, lr = 5e-05
I0328 22:21:43.524478 20480 solver.cpp:188] Iteration 55160, loss = 0.820324
I0328 22:21:43.524554 20480 solver.cpp:203]     Train net output #0: loss = 0.820324 (* 1 = 0.820324 loss)
I0328 22:21:43.524571 20480 solver.cpp:449] Iteration 55160, lr = 5e-05
I0328 22:23:19.388325 20480 solver.cpp:188] Iteration 55200, loss = 0.801909
I0328 22:23:19.388419 20480 solver.cpp:203]     Train net output #0: loss = 0.801909 (* 1 = 0.801909 loss)
I0328 22:23:19.388429 20480 solver.cpp:449] Iteration 55200, lr = 5e-05
I0328 22:24:56.353915 20480 solver.cpp:188] Iteration 55240, loss = 0.737504
I0328 22:24:56.353994 20480 solver.cpp:203]     Train net output #0: loss = 0.737504 (* 1 = 0.737504 loss)
I0328 22:24:56.354004 20480 solver.cpp:449] Iteration 55240, lr = 5e-05
I0328 22:26:33.251615 20480 solver.cpp:188] Iteration 55280, loss = 0.744038
I0328 22:26:33.251730 20480 solver.cpp:203]     Train net output #0: loss = 0.744038 (* 1 = 0.744038 loss)
I0328 22:26:33.251749 20480 solver.cpp:449] Iteration 55280, lr = 5e-05
I0328 22:28:09.938496 20480 solver.cpp:188] Iteration 55320, loss = 0.825201
I0328 22:28:09.938607 20480 solver.cpp:203]     Train net output #0: loss = 0.825201 (* 1 = 0.825201 loss)
I0328 22:28:09.938617 20480 solver.cpp:449] Iteration 55320, lr = 5e-05
I0328 22:29:47.207701 20480 solver.cpp:188] Iteration 55360, loss = 0.716553
I0328 22:29:47.207814 20480 solver.cpp:203]     Train net output #0: loss = 0.716553 (* 1 = 0.716553 loss)
I0328 22:29:47.207828 20480 solver.cpp:449] Iteration 55360, lr = 5e-05
I0328 22:31:25.785531 20480 solver.cpp:188] Iteration 55400, loss = 0.757139
I0328 22:31:25.785593 20480 solver.cpp:203]     Train net output #0: loss = 0.757139 (* 1 = 0.757139 loss)
I0328 22:31:25.785601 20480 solver.cpp:449] Iteration 55400, lr = 5e-05
I0328 22:33:03.262459 20480 solver.cpp:188] Iteration 55440, loss = 0.697845
I0328 22:33:03.262614 20480 solver.cpp:203]     Train net output #0: loss = 0.697845 (* 1 = 0.697845 loss)
I0328 22:33:03.262625 20480 solver.cpp:449] Iteration 55440, lr = 5e-05
I0328 22:34:43.217883 20480 solver.cpp:188] Iteration 55480, loss = 0.839852
I0328 22:34:43.218006 20480 solver.cpp:203]     Train net output #0: loss = 0.839852 (* 1 = 0.839852 loss)
I0328 22:34:43.218024 20480 solver.cpp:449] Iteration 55480, lr = 5e-05
I0328 22:36:22.702770 20480 solver.cpp:188] Iteration 55520, loss = 0.849184
I0328 22:36:22.702880 20480 solver.cpp:203]     Train net output #0: loss = 0.849184 (* 1 = 0.849184 loss)
I0328 22:36:22.702899 20480 solver.cpp:449] Iteration 55520, lr = 5e-05
I0328 22:38:02.634320 20480 solver.cpp:188] Iteration 55560, loss = 0.862407
I0328 22:38:02.634444 20480 solver.cpp:203]     Train net output #0: loss = 0.862407 (* 1 = 0.862407 loss)
I0328 22:38:02.634464 20480 solver.cpp:449] Iteration 55560, lr = 5e-05
I0328 22:39:43.450328 20480 solver.cpp:188] Iteration 55600, loss = 0.758813
I0328 22:39:43.450450 20480 solver.cpp:203]     Train net output #0: loss = 0.758813 (* 1 = 0.758813 loss)
I0328 22:39:43.450459 20480 solver.cpp:449] Iteration 55600, lr = 5e-05
I0328 22:41:23.213716 20480 solver.cpp:188] Iteration 55640, loss = 0.745297
I0328 22:41:23.213806 20480 solver.cpp:203]     Train net output #0: loss = 0.745297 (* 1 = 0.745297 loss)
I0328 22:41:23.213815 20480 solver.cpp:449] Iteration 55640, lr = 5e-05
I0328 22:43:03.987151 20480 solver.cpp:188] Iteration 55680, loss = 0.739452
I0328 22:43:03.987269 20480 solver.cpp:203]     Train net output #0: loss = 0.739452 (* 1 = 0.739452 loss)
I0328 22:43:03.987287 20480 solver.cpp:449] Iteration 55680, lr = 5e-05
I0328 22:44:43.747305 20480 solver.cpp:188] Iteration 55720, loss = 0.768833
I0328 22:44:43.747408 20480 solver.cpp:203]     Train net output #0: loss = 0.768833 (* 1 = 0.768833 loss)
I0328 22:44:43.747421 20480 solver.cpp:449] Iteration 55720, lr = 5e-05
I0328 22:46:21.199206 20480 solver.cpp:188] Iteration 55760, loss = 0.741588
I0328 22:46:21.199285 20480 solver.cpp:203]     Train net output #0: loss = 0.741588 (* 1 = 0.741588 loss)
I0328 22:46:21.199295 20480 solver.cpp:449] Iteration 55760, lr = 5e-05
I0328 22:47:51.702795 20480 solver.cpp:188] Iteration 55800, loss = 0.733602
I0328 22:47:51.702885 20480 solver.cpp:203]     Train net output #0: loss = 0.733602 (* 1 = 0.733602 loss)
I0328 22:47:51.702894 20480 solver.cpp:449] Iteration 55800, lr = 5e-05
I0328 22:49:22.826014 20480 solver.cpp:188] Iteration 55840, loss = 0.809628
I0328 22:49:22.826119 20480 solver.cpp:203]     Train net output #0: loss = 0.809628 (* 1 = 0.809628 loss)
I0328 22:49:22.826138 20480 solver.cpp:449] Iteration 55840, lr = 5e-05
I0328 22:50:53.137230 20480 solver.cpp:188] Iteration 55880, loss = 0.816989
I0328 22:50:53.137317 20480 solver.cpp:203]     Train net output #0: loss = 0.816989 (* 1 = 0.816989 loss)
I0328 22:50:53.137326 20480 solver.cpp:449] Iteration 55880, lr = 5e-05
I0328 22:52:24.879102 20480 solver.cpp:188] Iteration 55920, loss = 0.727953
I0328 22:52:24.879242 20480 solver.cpp:203]     Train net output #0: loss = 0.727953 (* 1 = 0.727953 loss)
I0328 22:52:24.879256 20480 solver.cpp:449] Iteration 55920, lr = 5e-05
I0328 22:53:56.223201 20480 solver.cpp:188] Iteration 55960, loss = 0.746029
I0328 22:53:56.223299 20480 solver.cpp:203]     Train net output #0: loss = 0.746029 (* 1 = 0.746029 loss)
I0328 22:53:56.223309 20480 solver.cpp:449] Iteration 55960, lr = 5e-05
I0328 22:55:27.013074 20480 solver.cpp:188] Iteration 56000, loss = 0.705074
I0328 22:55:27.013201 20480 solver.cpp:203]     Train net output #0: loss = 0.705074 (* 1 = 0.705074 loss)
I0328 22:55:27.013212 20480 solver.cpp:449] Iteration 56000, lr = 5e-05
I0328 22:56:58.232385 20480 solver.cpp:188] Iteration 56040, loss = 0.71053
I0328 22:56:58.232519 20480 solver.cpp:203]     Train net output #0: loss = 0.71053 (* 1 = 0.71053 loss)
I0328 22:56:58.232530 20480 solver.cpp:449] Iteration 56040, lr = 5e-05
I0328 22:58:27.992578 20480 solver.cpp:188] Iteration 56080, loss = 0.737979
I0328 22:58:27.992710 20480 solver.cpp:203]     Train net output #0: loss = 0.737979 (* 1 = 0.737979 loss)
I0328 22:58:27.992720 20480 solver.cpp:449] Iteration 56080, lr = 5e-05
I0328 22:59:58.774979 20480 solver.cpp:188] Iteration 56120, loss = 0.833487
I0328 22:59:58.775099 20480 solver.cpp:203]     Train net output #0: loss = 0.833487 (* 1 = 0.833487 loss)
I0328 22:59:58.775117 20480 solver.cpp:449] Iteration 56120, lr = 5e-05
I0328 23:01:29.911111 20480 solver.cpp:188] Iteration 56160, loss = 0.768717
I0328 23:01:29.911234 20480 solver.cpp:203]     Train net output #0: loss = 0.768717 (* 1 = 0.768717 loss)
I0328 23:01:29.911244 20480 solver.cpp:449] Iteration 56160, lr = 5e-05
I0328 23:02:59.872774 20480 solver.cpp:188] Iteration 56200, loss = 0.771119
I0328 23:02:59.872892 20480 solver.cpp:203]     Train net output #0: loss = 0.771119 (* 1 = 0.771119 loss)
I0328 23:02:59.872912 20480 solver.cpp:449] Iteration 56200, lr = 5e-05
I0328 23:04:31.137727 20480 solver.cpp:188] Iteration 56240, loss = 0.783292
I0328 23:04:31.137816 20480 solver.cpp:203]     Train net output #0: loss = 0.783292 (* 1 = 0.783292 loss)
I0328 23:04:31.137835 20480 solver.cpp:449] Iteration 56240, lr = 5e-05
I0328 23:06:02.482182 20480 solver.cpp:188] Iteration 56280, loss = 0.778659
I0328 23:06:02.482272 20480 solver.cpp:203]     Train net output #0: loss = 0.778659 (* 1 = 0.778659 loss)
I0328 23:06:02.482282 20480 solver.cpp:449] Iteration 56280, lr = 5e-05
I0328 23:07:33.318605 20480 solver.cpp:188] Iteration 56320, loss = 0.839965
I0328 23:07:33.318701 20480 solver.cpp:203]     Train net output #0: loss = 0.839965 (* 1 = 0.839965 loss)
I0328 23:07:33.318711 20480 solver.cpp:449] Iteration 56320, lr = 5e-05
I0328 23:09:05.510056 20480 solver.cpp:188] Iteration 56360, loss = 0.789983
I0328 23:09:05.510136 20480 solver.cpp:203]     Train net output #0: loss = 0.789983 (* 1 = 0.789983 loss)
I0328 23:09:05.510145 20480 solver.cpp:449] Iteration 56360, lr = 5e-05
I0328 23:10:36.485718 20480 solver.cpp:188] Iteration 56400, loss = 0.887808
I0328 23:10:36.485873 20480 solver.cpp:203]     Train net output #0: loss = 0.887808 (* 1 = 0.887808 loss)
I0328 23:10:36.485882 20480 solver.cpp:449] Iteration 56400, lr = 5e-05
I0328 23:12:07.492048 20480 solver.cpp:188] Iteration 56440, loss = 0.738164
I0328 23:12:07.492174 20480 solver.cpp:203]     Train net output #0: loss = 0.738164 (* 1 = 0.738164 loss)
I0328 23:12:07.492187 20480 solver.cpp:449] Iteration 56440, lr = 5e-05
I0328 23:13:39.628835 20480 solver.cpp:188] Iteration 56480, loss = 0.671595
I0328 23:13:39.628949 20480 solver.cpp:203]     Train net output #0: loss = 0.671595 (* 1 = 0.671595 loss)
I0328 23:13:39.628957 20480 solver.cpp:449] Iteration 56480, lr = 5e-05
I0328 23:15:10.903295 20480 solver.cpp:188] Iteration 56520, loss = 0.811616
I0328 23:15:10.903372 20480 solver.cpp:203]     Train net output #0: loss = 0.811616 (* 1 = 0.811616 loss)
I0328 23:15:10.903381 20480 solver.cpp:449] Iteration 56520, lr = 5e-05
I0328 23:16:42.479337 20480 solver.cpp:188] Iteration 56560, loss = 0.798135
I0328 23:16:42.479429 20480 solver.cpp:203]     Train net output #0: loss = 0.798135 (* 1 = 0.798135 loss)
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I0328 23:18:13.934224 20480 solver.cpp:188] Iteration 56600, loss = 0.842789
I0328 23:18:13.934330 20480 solver.cpp:203]     Train net output #0: loss = 0.842789 (* 1 = 0.842789 loss)
I0328 23:18:13.934350 20480 solver.cpp:449] Iteration 56600, lr = 5e-05
I0328 23:19:47.212275 20480 solver.cpp:188] Iteration 56640, loss = 0.840672
I0328 23:19:47.212381 20480 solver.cpp:203]     Train net output #0: loss = 0.840672 (* 1 = 0.840672 loss)
I0328 23:19:47.212390 20480 solver.cpp:449] Iteration 56640, lr = 5e-05
I0328 23:21:20.365973 20480 solver.cpp:188] Iteration 56680, loss = 0.64814
I0328 23:21:20.366051 20480 solver.cpp:203]     Train net output #0: loss = 0.64814 (* 1 = 0.64814 loss)
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I0328 23:22:54.566102 20480 solver.cpp:188] Iteration 56720, loss = 0.698465
I0328 23:22:54.566217 20480 solver.cpp:203]     Train net output #0: loss = 0.698465 (* 1 = 0.698465 loss)
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I0328 23:24:28.618535 20480 solver.cpp:188] Iteration 56760, loss = 0.774991
I0328 23:24:28.618659 20480 solver.cpp:203]     Train net output #0: loss = 0.774991 (* 1 = 0.774991 loss)
I0328 23:24:28.618671 20480 solver.cpp:449] Iteration 56760, lr = 5e-05
I0328 23:26:02.520119 20480 solver.cpp:188] Iteration 56800, loss = 0.722143
I0328 23:26:02.520200 20480 solver.cpp:203]     Train net output #0: loss = 0.722143 (* 1 = 0.722143 loss)
I0328 23:26:02.520210 20480 solver.cpp:449] Iteration 56800, lr = 5e-05
I0328 23:27:34.562319 20480 solver.cpp:188] Iteration 56840, loss = 0.750117
I0328 23:27:34.562456 20480 solver.cpp:203]     Train net output #0: loss = 0.750117 (* 1 = 0.750117 loss)
I0328 23:27:34.562476 20480 solver.cpp:449] Iteration 56840, lr = 5e-05
I0328 23:29:08.073178 20480 solver.cpp:188] Iteration 56880, loss = 0.773216
I0328 23:29:08.073256 20480 solver.cpp:203]     Train net output #0: loss = 0.773216 (* 1 = 0.773216 loss)
I0328 23:29:08.073266 20480 solver.cpp:449] Iteration 56880, lr = 5e-05
I0328 23:30:41.332392 20480 solver.cpp:188] Iteration 56920, loss = 0.691766
I0328 23:30:41.332520 20480 solver.cpp:203]     Train net output #0: loss = 0.691766 (* 1 = 0.691766 loss)
I0328 23:30:41.332531 20480 solver.cpp:449] Iteration 56920, lr = 5e-05
I0328 23:32:15.730244 20480 solver.cpp:188] Iteration 56960, loss = 0.756149
I0328 23:32:15.730345 20480 solver.cpp:203]     Train net output #0: loss = 0.756149 (* 1 = 0.756149 loss)
I0328 23:32:15.730363 20480 solver.cpp:449] Iteration 56960, lr = 5e-05
I0328 23:33:49.592061 20480 solver.cpp:188] Iteration 57000, loss = 0.856802
I0328 23:33:49.592175 20480 solver.cpp:203]     Train net output #0: loss = 0.856802 (* 1 = 0.856802 loss)
I0328 23:33:49.592195 20480 solver.cpp:449] Iteration 57000, lr = 5e-05
I0328 23:35:22.787363 20480 solver.cpp:188] Iteration 57040, loss = 0.771741
I0328 23:35:22.787492 20480 solver.cpp:203]     Train net output #0: loss = 0.771741 (* 1 = 0.771741 loss)
I0328 23:35:22.787503 20480 solver.cpp:449] Iteration 57040, lr = 5e-05
I0328 23:36:56.289569 20480 solver.cpp:188] Iteration 57080, loss = 0.825576
I0328 23:36:56.289674 20480 solver.cpp:203]     Train net output #0: loss = 0.825576 (* 1 = 0.825576 loss)
I0328 23:36:56.289686 20480 solver.cpp:449] Iteration 57080, lr = 5e-05
I0328 23:38:27.550551 20480 solver.cpp:188] Iteration 57120, loss = 0.72597
I0328 23:38:27.551584 20480 solver.cpp:203]     Train net output #0: loss = 0.72597 (* 1 = 0.72597 loss)
I0328 23:38:27.551595 20480 solver.cpp:449] Iteration 57120, lr = 5e-05
I0328 23:39:59.898917 20480 solver.cpp:188] Iteration 57160, loss = 0.798479
I0328 23:39:59.899001 20480 solver.cpp:203]     Train net output #0: loss = 0.798479 (* 1 = 0.798479 loss)
I0328 23:39:59.899013 20480 solver.cpp:449] Iteration 57160, lr = 5e-05
I0328 23:41:32.711659 20480 solver.cpp:188] Iteration 57200, loss = 0.73589
I0328 23:41:32.711778 20480 solver.cpp:203]     Train net output #0: loss = 0.73589 (* 1 = 0.73589 loss)
I0328 23:41:32.711791 20480 solver.cpp:449] Iteration 57200, lr = 5e-05
I0328 23:43:03.651811 20480 solver.cpp:188] Iteration 57240, loss = 0.792903
I0328 23:43:03.651921 20480 solver.cpp:203]     Train net output #0: loss = 0.792903 (* 1 = 0.792903 loss)
I0328 23:43:03.651932 20480 solver.cpp:449] Iteration 57240, lr = 5e-05
I0328 23:44:36.292784 20480 solver.cpp:188] Iteration 57280, loss = 0.725791
I0328 23:44:36.292918 20480 solver.cpp:203]     Train net output #0: loss = 0.725791 (* 1 = 0.725791 loss)
I0328 23:44:36.292932 20480 solver.cpp:449] Iteration 57280, lr = 5e-05
I0328 23:46:08.726131 20480 solver.cpp:188] Iteration 57320, loss = 0.684531
I0328 23:46:08.726236 20480 solver.cpp:203]     Train net output #0: loss = 0.684531 (* 1 = 0.684531 loss)
I0328 23:46:08.726258 20480 solver.cpp:449] Iteration 57320, lr = 5e-05
I0328 23:47:40.519943 20480 solver.cpp:188] Iteration 57360, loss = 0.756604
I0328 23:47:40.520068 20480 solver.cpp:203]     Train net output #0: loss = 0.756604 (* 1 = 0.756604 loss)
I0328 23:47:40.520087 20480 solver.cpp:449] Iteration 57360, lr = 5e-05
I0328 23:49:12.718098 20480 solver.cpp:188] Iteration 57400, loss = 0.76064
I0328 23:49:12.718175 20480 solver.cpp:203]     Train net output #0: loss = 0.76064 (* 1 = 0.76064 loss)
I0328 23:49:12.718184 20480 solver.cpp:449] Iteration 57400, lr = 5e-05
I0328 23:51:03.503942 20480 solver.cpp:188] Iteration 57440, loss = 0.748819
I0328 23:51:03.504036 20480 solver.cpp:203]     Train net output #0: loss = 0.748819 (* 1 = 0.748819 loss)
I0328 23:51:03.504055 20480 solver.cpp:449] Iteration 57440, lr = 5e-05
I0328 23:52:42.628301 20480 solver.cpp:188] Iteration 57480, loss = 0.659499
I0328 23:52:42.628427 20480 solver.cpp:203]     Train net output #0: loss = 0.659499 (* 1 = 0.659499 loss)
I0328 23:52:42.628437 20480 solver.cpp:449] Iteration 57480, lr = 5e-05
I0328 23:54:22.264384 20480 solver.cpp:188] Iteration 57520, loss = 0.874219
I0328 23:54:22.264453 20480 solver.cpp:203]     Train net output #0: loss = 0.874219 (* 1 = 0.874219 loss)
I0328 23:54:22.264462 20480 solver.cpp:449] Iteration 57520, lr = 5e-05
I0328 23:56:00.984277 20480 solver.cpp:188] Iteration 57560, loss = 0.734438
I0328 23:56:00.984360 20480 solver.cpp:203]     Train net output #0: loss = 0.734438 (* 1 = 0.734438 loss)
I0328 23:56:00.984370 20480 solver.cpp:449] Iteration 57560, lr = 5e-05
I0328 23:57:41.919396 20480 solver.cpp:188] Iteration 57600, loss = 0.872665
I0328 23:57:41.919513 20480 solver.cpp:203]     Train net output #0: loss = 0.872665 (* 1 = 0.872665 loss)
I0328 23:57:41.919524 20480 solver.cpp:449] Iteration 57600, lr = 5e-05
I0328 23:59:21.168256 20480 solver.cpp:188] Iteration 57640, loss = 0.794864
I0328 23:59:21.168347 20480 solver.cpp:203]     Train net output #0: loss = 0.794864 (* 1 = 0.794864 loss)
I0328 23:59:21.168356 20480 solver.cpp:449] Iteration 57640, lr = 5e-05
I0329 00:00:57.230119 20480 solver.cpp:188] Iteration 57680, loss = 0.65764
I0329 00:00:57.230224 20480 solver.cpp:203]     Train net output #0: loss = 0.65764 (* 1 = 0.65764 loss)
I0329 00:00:57.230232 20480 solver.cpp:449] Iteration 57680, lr = 5e-05
I0329 00:02:35.902976 20480 solver.cpp:188] Iteration 57720, loss = 0.636441
I0329 00:02:35.903066 20480 solver.cpp:203]     Train net output #0: loss = 0.636441 (* 1 = 0.636441 loss)
I0329 00:02:35.903075 20480 solver.cpp:449] Iteration 57720, lr = 5e-05
I0329 00:04:15.432399 20480 solver.cpp:188] Iteration 57760, loss = 0.685384
I0329 00:04:15.432498 20480 solver.cpp:203]     Train net output #0: loss = 0.685384 (* 1 = 0.685384 loss)
I0329 00:04:15.432510 20480 solver.cpp:449] Iteration 57760, lr = 5e-05
I0329 00:05:55.124161 20480 solver.cpp:188] Iteration 57800, loss = 0.721563
I0329 00:05:55.124281 20480 solver.cpp:203]     Train net output #0: loss = 0.721563 (* 1 = 0.721563 loss)
I0329 00:05:55.124300 20480 solver.cpp:449] Iteration 57800, lr = 5e-05
I0329 00:07:32.249506 20480 solver.cpp:188] Iteration 57840, loss = 0.754739
I0329 00:07:32.249608 20480 solver.cpp:203]     Train net output #0: loss = 0.754739 (* 1 = 0.754739 loss)
I0329 00:07:32.249626 20480 solver.cpp:449] Iteration 57840, lr = 5e-05
I0329 00:09:11.845931 20480 solver.cpp:188] Iteration 57880, loss = 0.697777
I0329 00:09:11.846022 20480 solver.cpp:203]     Train net output #0: loss = 0.697777 (* 1 = 0.697777 loss)
I0329 00:09:11.846040 20480 solver.cpp:449] Iteration 57880, lr = 5e-05
I0329 00:10:51.525048 20480 solver.cpp:188] Iteration 57920, loss = 0.723054
I0329 00:10:51.525174 20480 solver.cpp:203]     Train net output #0: loss = 0.723054 (* 1 = 0.723054 loss)
I0329 00:10:51.525193 20480 solver.cpp:449] Iteration 57920, lr = 5e-05
I0329 00:12:31.162586 20480 solver.cpp:188] Iteration 57960, loss = 0.72653
I0329 00:12:31.162736 20480 solver.cpp:203]     Train net output #0: loss = 0.72653 (* 1 = 0.72653 loss)
I0329 00:12:31.162747 20480 solver.cpp:449] Iteration 57960, lr = 5e-05
I0329 00:14:09.735440 20480 solver.cpp:188] Iteration 58000, loss = 0.734148
I0329 00:14:09.735558 20480 solver.cpp:203]     Train net output #0: loss = 0.734148 (* 1 = 0.734148 loss)
I0329 00:14:09.735577 20480 solver.cpp:449] Iteration 58000, lr = 5e-05
I0329 00:15:49.249632 20480 solver.cpp:188] Iteration 58040, loss = 0.625984
I0329 00:15:49.249749 20480 solver.cpp:203]     Train net output #0: loss = 0.625984 (* 1 = 0.625984 loss)
I0329 00:15:49.249768 20480 solver.cpp:449] Iteration 58040, lr = 5e-05
I0329 00:17:25.300240 20480 solver.cpp:188] Iteration 58080, loss = 0.653227
I0329 00:17:25.300340 20480 solver.cpp:203]     Train net output #0: loss = 0.653227 (* 1 = 0.653227 loss)
I0329 00:17:25.300361 20480 solver.cpp:449] Iteration 58080, lr = 5e-05
I0329 00:19:03.288722 20480 solver.cpp:188] Iteration 58120, loss = 0.678912
I0329 00:19:03.288817 20480 solver.cpp:203]     Train net output #0: loss = 0.678912 (* 1 = 0.678912 loss)
I0329 00:19:03.288837 20480 solver.cpp:449] Iteration 58120, lr = 5e-05
I0329 00:20:38.282340 20480 solver.cpp:188] Iteration 58160, loss = 0.700758
I0329 00:20:38.282414 20480 solver.cpp:203]     Train net output #0: loss = 0.700758 (* 1 = 0.700758 loss)
I0329 00:20:38.282423 20480 solver.cpp:449] Iteration 58160, lr = 5e-05
I0329 00:22:09.346385 20480 solver.cpp:188] Iteration 58200, loss = 0.66635
I0329 00:22:09.346495 20480 solver.cpp:203]     Train net output #0: loss = 0.66635 (* 1 = 0.66635 loss)
I0329 00:22:09.346506 20480 solver.cpp:449] Iteration 58200, lr = 5e-05
I0329 00:23:31.845662 20480 solver.cpp:188] Iteration 58240, loss = 0.733495
I0329 00:23:31.845741 20480 solver.cpp:203]     Train net output #0: loss = 0.733495 (* 1 = 0.733495 loss)
I0329 00:23:31.845759 20480 solver.cpp:449] Iteration 58240, lr = 5e-05
I0329 00:25:02.873356 20480 solver.cpp:188] Iteration 58280, loss = 0.790075
I0329 00:25:02.873486 20480 solver.cpp:203]     Train net output #0: loss = 0.790075 (* 1 = 0.790075 loss)
I0329 00:25:02.873495 20480 solver.cpp:449] Iteration 58280, lr = 5e-05
I0329 00:26:33.299118 20480 solver.cpp:188] Iteration 58320, loss = 0.735435
I0329 00:26:33.299273 20480 solver.cpp:203]     Train net output #0: loss = 0.735435 (* 1 = 0.735435 loss)
I0329 00:26:33.299283 20480 solver.cpp:449] Iteration 58320, lr = 5e-05
I0329 00:28:02.877897 20480 solver.cpp:188] Iteration 58360, loss = 0.709973
I0329 00:28:02.877979 20480 solver.cpp:203]     Train net output #0: loss = 0.709973 (* 1 = 0.709973 loss)
I0329 00:28:02.877987 20480 solver.cpp:449] Iteration 58360, lr = 5e-05
I0329 00:29:33.816714 20480 solver.cpp:188] Iteration 58400, loss = 0.828505
I0329 00:29:33.816835 20480 solver.cpp:203]     Train net output #0: loss = 0.828505 (* 1 = 0.828505 loss)
I0329 00:29:33.816854 20480 solver.cpp:449] Iteration 58400, lr = 5e-05
I0329 00:31:03.861495 20480 solver.cpp:188] Iteration 58440, loss = 0.773551
I0329 00:31:03.861608 20480 solver.cpp:203]     Train net output #0: loss = 0.773551 (* 1 = 0.773551 loss)
I0329 00:31:03.861621 20480 solver.cpp:449] Iteration 58440, lr = 5e-05
I0329 00:32:33.986348 20480 solver.cpp:188] Iteration 58480, loss = 0.820718
I0329 00:32:33.986454 20480 solver.cpp:203]     Train net output #0: loss = 0.820718 (* 1 = 0.820718 loss)
I0329 00:32:33.986464 20480 solver.cpp:449] Iteration 58480, lr = 5e-05
I0329 00:34:04.224938 20480 solver.cpp:188] Iteration 58520, loss = 0.735456
I0329 00:34:04.225060 20480 solver.cpp:203]     Train net output #0: loss = 0.735456 (* 1 = 0.735456 loss)
I0329 00:34:04.225069 20480 solver.cpp:449] Iteration 58520, lr = 5e-05
I0329 00:35:34.054033 20480 solver.cpp:188] Iteration 58560, loss = 0.708024
I0329 00:35:34.054172 20480 solver.cpp:203]     Train net output #0: loss = 0.708024 (* 1 = 0.708024 loss)
I0329 00:35:34.054183 20480 solver.cpp:449] Iteration 58560, lr = 5e-05
I0329 00:37:05.022178 20480 solver.cpp:188] Iteration 58600, loss = 0.905572
I0329 00:37:05.022236 20480 solver.cpp:203]     Train net output #0: loss = 0.905572 (* 1 = 0.905572 loss)
I0329 00:37:05.022244 20480 solver.cpp:449] Iteration 58600, lr = 5e-05
I0329 00:38:26.202133 20480 solver.cpp:188] Iteration 58640, loss = 0.631489
I0329 00:38:26.202203 20480 solver.cpp:203]     Train net output #0: loss = 0.631489 (* 1 = 0.631489 loss)
I0329 00:38:26.202213 20480 solver.cpp:449] Iteration 58640, lr = 5e-05
I0329 00:39:36.079515 20480 solver.cpp:188] Iteration 58680, loss = 0.720282
I0329 00:39:36.079586 20480 solver.cpp:203]     Train net output #0: loss = 0.720282 (* 1 = 0.720282 loss)
I0329 00:39:36.079594 20480 solver.cpp:449] Iteration 58680, lr = 5e-05
I0329 00:41:07.458037 20480 solver.cpp:188] Iteration 58720, loss = 0.713248
I0329 00:41:07.458132 20480 solver.cpp:203]     Train net output #0: loss = 0.713248 (* 1 = 0.713248 loss)
I0329 00:41:07.458142 20480 solver.cpp:449] Iteration 58720, lr = 5e-05
I0329 00:42:38.692478 20480 solver.cpp:188] Iteration 58760, loss = 0.705357
I0329 00:42:38.692603 20480 solver.cpp:203]     Train net output #0: loss = 0.705357 (* 1 = 0.705357 loss)
I0329 00:42:38.692621 20480 solver.cpp:449] Iteration 58760, lr = 5e-05
I0329 00:44:05.418596 20480 solver.cpp:188] Iteration 58800, loss = 0.818971
I0329 00:44:05.418683 20480 solver.cpp:203]     Train net output #0: loss = 0.818971 (* 1 = 0.818971 loss)
I0329 00:44:05.418694 20480 solver.cpp:449] Iteration 58800, lr = 5e-05
I0329 00:45:33.527374 20480 solver.cpp:188] Iteration 58840, loss = 0.78758
I0329 00:45:33.527441 20480 solver.cpp:203]     Train net output #0: loss = 0.78758 (* 1 = 0.78758 loss)
I0329 00:45:33.527451 20480 solver.cpp:449] Iteration 58840, lr = 5e-05
I0329 00:47:04.944417 20480 solver.cpp:188] Iteration 58880, loss = 0.795865
I0329 00:47:04.944485 20480 solver.cpp:203]     Train net output #0: loss = 0.795865 (* 1 = 0.795865 loss)
I0329 00:47:04.944499 20480 solver.cpp:449] Iteration 58880, lr = 5e-05
I0329 00:48:37.285836 20480 solver.cpp:188] Iteration 58920, loss = 0.654555
I0329 00:48:37.285953 20480 solver.cpp:203]     Train net output #0: loss = 0.654555 (* 1 = 0.654555 loss)
I0329 00:48:37.285964 20480 solver.cpp:449] Iteration 58920, lr = 5e-05
I0329 00:50:10.278453 20480 solver.cpp:188] Iteration 58960, loss = 0.706291
I0329 00:50:10.278533 20480 solver.cpp:203]     Train net output #0: loss = 0.706291 (* 1 = 0.706291 loss)
I0329 00:50:10.278543 20480 solver.cpp:449] Iteration 58960, lr = 5e-05
I0329 00:51:43.698876 20480 solver.cpp:188] Iteration 59000, loss = 0.718574
I0329 00:51:43.698973 20480 solver.cpp:203]     Train net output #0: loss = 0.718574 (* 1 = 0.718574 loss)
I0329 00:51:43.698992 20480 solver.cpp:449] Iteration 59000, lr = 5e-05
I0329 00:53:18.976991 20480 solver.cpp:188] Iteration 59040, loss = 0.782135
I0329 00:53:18.977867 20480 solver.cpp:203]     Train net output #0: loss = 0.782135 (* 1 = 0.782135 loss)
I0329 00:53:18.977890 20480 solver.cpp:449] Iteration 59040, lr = 5e-05
I0329 00:54:55.253098 20480 solver.cpp:188] Iteration 59080, loss = 0.802784
I0329 00:54:55.253214 20480 solver.cpp:203]     Train net output #0: loss = 0.802784 (* 1 = 0.802784 loss)
I0329 00:54:55.253223 20480 solver.cpp:449] Iteration 59080, lr = 5e-05
I0329 00:56:30.989923 20480 solver.cpp:188] Iteration 59120, loss = 0.793554
I0329 00:56:30.990030 20480 solver.cpp:203]     Train net output #0: loss = 0.793554 (* 1 = 0.793554 loss)
I0329 00:56:30.990037 20480 solver.cpp:449] Iteration 59120, lr = 5e-05
I0329 00:58:06.324694 20480 solver.cpp:188] Iteration 59160, loss = 0.83035
I0329 00:58:06.324772 20480 solver.cpp:203]     Train net output #0: loss = 0.83035 (* 1 = 0.83035 loss)
I0329 00:58:06.324781 20480 solver.cpp:449] Iteration 59160, lr = 5e-05
I0329 00:59:39.671864 20480 solver.cpp:188] Iteration 59200, loss = 0.735575
I0329 00:59:39.671952 20480 solver.cpp:203]     Train net output #0: loss = 0.735575 (* 1 = 0.735575 loss)
I0329 00:59:39.671962 20480 solver.cpp:449] Iteration 59200, lr = 5e-05
I0329 01:01:14.598274 20480 solver.cpp:188] Iteration 59240, loss = 0.73967
I0329 01:01:14.598454 20480 solver.cpp:203]     Train net output #0: loss = 0.73967 (* 1 = 0.73967 loss)
I0329 01:01:14.598467 20480 solver.cpp:449] Iteration 59240, lr = 5e-05
I0329 01:02:49.613988 20480 solver.cpp:188] Iteration 59280, loss = 0.677797
I0329 01:02:49.614104 20480 solver.cpp:203]     Train net output #0: loss = 0.677797 (* 1 = 0.677797 loss)
I0329 01:02:49.614123 20480 solver.cpp:449] Iteration 59280, lr = 5e-05
I0329 01:04:23.405318 20480 solver.cpp:188] Iteration 59320, loss = 0.667294
I0329 01:04:23.405400 20480 solver.cpp:203]     Train net output #0: loss = 0.667294 (* 1 = 0.667294 loss)
I0329 01:04:23.405410 20480 solver.cpp:449] Iteration 59320, lr = 5e-05
I0329 01:05:57.061182 20480 solver.cpp:188] Iteration 59360, loss = 0.703867
I0329 01:05:57.061267 20480 solver.cpp:203]     Train net output #0: loss = 0.703867 (* 1 = 0.703867 loss)
I0329 01:05:57.061276 20480 solver.cpp:449] Iteration 59360, lr = 5e-05
I0329 01:07:23.341228 20480 solver.cpp:188] Iteration 59400, loss = 0.746559
I0329 01:07:23.341348 20480 solver.cpp:203]     Train net output #0: loss = 0.746559 (* 1 = 0.746559 loss)
I0329 01:07:23.341367 20480 solver.cpp:449] Iteration 59400, lr = 5e-05
I0329 01:08:57.648243 20480 solver.cpp:188] Iteration 59440, loss = 0.82898
I0329 01:08:57.648329 20480 solver.cpp:203]     Train net output #0: loss = 0.82898 (* 1 = 0.82898 loss)
I0329 01:08:57.648337 20480 solver.cpp:449] Iteration 59440, lr = 5e-05
I0329 01:10:29.809406 20480 solver.cpp:188] Iteration 59480, loss = 0.731783
I0329 01:10:29.809497 20480 solver.cpp:203]     Train net output #0: loss = 0.731783 (* 1 = 0.731783 loss)
I0329 01:10:29.809509 20480 solver.cpp:449] Iteration 59480, lr = 5e-05
I0329 01:12:02.167385 20480 solver.cpp:188] Iteration 59520, loss = 0.74596
I0329 01:12:02.167493 20480 solver.cpp:203]     Train net output #0: loss = 0.74596 (* 1 = 0.74596 loss)
I0329 01:12:02.167512 20480 solver.cpp:449] Iteration 59520, lr = 5e-05
I0329 01:13:34.354637 20480 solver.cpp:188] Iteration 59560, loss = 0.769988
I0329 01:13:34.354730 20480 solver.cpp:203]     Train net output #0: loss = 0.769988 (* 1 = 0.769988 loss)
I0329 01:13:34.354739 20480 solver.cpp:449] Iteration 59560, lr = 5e-05
I0329 01:15:05.447196 20480 solver.cpp:188] Iteration 59600, loss = 0.903941
I0329 01:15:05.450361 20480 solver.cpp:203]     Train net output #0: loss = 0.903941 (* 1 = 0.903941 loss)
I0329 01:15:05.450389 20480 solver.cpp:449] Iteration 59600, lr = 5e-05
I0329 01:16:37.910280 20480 solver.cpp:188] Iteration 59640, loss = 0.712336
I0329 01:16:37.910409 20480 solver.cpp:203]     Train net output #0: loss = 0.712336 (* 1 = 0.712336 loss)
I0329 01:16:37.910423 20480 solver.cpp:449] Iteration 59640, lr = 5e-05
I0329 01:18:10.798535 20480 solver.cpp:188] Iteration 59680, loss = 0.811386
I0329 01:18:10.798625 20480 solver.cpp:203]     Train net output #0: loss = 0.811386 (* 1 = 0.811386 loss)
I0329 01:18:10.798645 20480 solver.cpp:449] Iteration 59680, lr = 5e-05
I0329 01:19:43.252614 20480 solver.cpp:188] Iteration 59720, loss = 0.782551
I0329 01:19:43.252727 20480 solver.cpp:203]     Train net output #0: loss = 0.782551 (* 1 = 0.782551 loss)
I0329 01:19:43.252738 20480 solver.cpp:449] Iteration 59720, lr = 5e-05
I0329 01:21:12.915864 20480 solver.cpp:188] Iteration 59760, loss = 0.772124
I0329 01:21:12.915988 20480 solver.cpp:203]     Train net output #0: loss = 0.772124 (* 1 = 0.772124 loss)
I0329 01:21:12.915997 20480 solver.cpp:449] Iteration 59760, lr = 5e-05
I0329 01:22:46.621635 20480 solver.cpp:188] Iteration 59800, loss = 0.812971
I0329 01:22:46.621711 20480 solver.cpp:203]     Train net output #0: loss = 0.812971 (* 1 = 0.812971 loss)
I0329 01:22:46.621731 20480 solver.cpp:449] Iteration 59800, lr = 5e-05
I0329 01:24:17.580710 20480 solver.cpp:188] Iteration 59840, loss = 0.800632
I0329 01:24:17.580852 20480 solver.cpp:203]     Train net output #0: loss = 0.800632 (* 1 = 0.800632 loss)
I0329 01:24:17.580862 20480 solver.cpp:449] Iteration 59840, lr = 5e-05
I0329 01:25:49.029467 20480 solver.cpp:188] Iteration 59880, loss = 0.759085
I0329 01:25:49.029541 20480 solver.cpp:203]     Train net output #0: loss = 0.759085 (* 1 = 0.759085 loss)
I0329 01:25:49.029551 20480 solver.cpp:449] Iteration 59880, lr = 5e-05
I0329 01:27:19.407284 20480 solver.cpp:188] Iteration 59920, loss = 0.675668
I0329 01:27:19.407402 20480 solver.cpp:203]     Train net output #0: loss = 0.675668 (* 1 = 0.675668 loss)
I0329 01:27:19.407420 20480 solver.cpp:449] Iteration 59920, lr = 5e-05
I0329 01:28:51.934424 20480 solver.cpp:188] Iteration 59960, loss = 0.783352
I0329 01:28:51.934519 20480 solver.cpp:203]     Train net output #0: loss = 0.783352 (* 1 = 0.783352 loss)
I0329 01:28:51.934537 20480 solver.cpp:449] Iteration 59960, lr = 5e-05
I0329 01:30:22.078832 20480 solver.cpp:337] Snapshotting to cache/flic/flic_iter_60000.caffemodel
I0329 01:30:23.125061 20480 solver.cpp:345] Snapshotting solver state to cache/flic/flic_iter_60000.solverstate
I0329 01:30:23.891680 20480 solver.cpp:248] Iteration 60000, loss = 0.745791
I0329 01:30:23.891701 20480 solver.cpp:266] Iteration 60000, Testing net (#0)
I0329 01:30:48.148043 20480 solver.cpp:317]     Test net output #0: accuracy = 0.694639
I0329 01:30:48.148087 20480 solver.cpp:317]     Test net output #1: loss = 0.913532 (* 1 = 0.913532 loss)
I0329 01:30:48.148092 20480 solver.cpp:253] Optimization Done.
I0329 01:30:48.148097 20480 caffe.cpp:121] Optimization Done.

LSP-dcnn-training-xjc.log

Training model using gpu id: 0
I0306 02:30:26.512550  5521 caffe.cpp:99] Use GPU with device ID 0
I0306 02:30:26.863243  5521 caffe.cpp:107] Starting Optimization
I0306 02:30:26.863385  5521 solver.cpp:32] Initializing solver from parameters: 
test_iter: 200
test_interval: 5000
base_lr: 0.005
display: 40
max_iter: 60000
lr_policy: "step"
gamma: 0.1
momentum: 0.9
weight_decay: 0.0005
stepsize: 20000
snapshot: 5000
snapshot_prefix: "cache/lsp/lsp"
solver_mode: GPU
net: "external/my_models/lsp/lsp_train_val.prototxt"
I0306 02:30:26.863421  5521 solver.cpp:70] Creating training net from net file: external/my_models/lsp/lsp_train_val.prototxt
I0306 02:30:26.864018  5521 net.cpp:276] The NetState phase (0) differed from the phase (1) specified by a rule in layer data
I0306 02:30:26.864055  5521 net.cpp:276] The NetState phase (0) differed from the phase (1) specified by a rule in layer accuracy
I0306 02:30:26.864217  5521 net.cpp:39] Initializing net from parameters: 
name: "TrainValNet"
layers {
  top: "data"
  top: "label"
  name: "data"
  type: DATA
  data_param {
    source: "cache/lsp/LMDB_train"
    batch_size: 512
    backend: LMDB
  }
  include {
    phase: TRAIN
  }
  transform_param {
    mirror: false
    mean_value: 128
    mean_value: 128
    mean_value: 128
  }
}
layers {
  bottom: "data"
  top: "conv1"
  name: "conv1"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 48
    pad: 2
    kernel_size: 5
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layers {
  bottom: "conv1"
  top: "conv1"
  name: "relu1"
  type: RELU
}
layers {
  bottom: "conv1"
  top: "pool1"
  name: "pool1"
  type: POOLING
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layers {
  bottom: "pool1"
  top: "norm1"
  name: "norm1"
  type: LRN
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layers {
  bottom: "norm1"
  top: "conv2"
  name: "conv2"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv2"
  top: "conv2"
  name: "relu2"
  type: RELU
}
layers {
  bottom: "conv2"
  top: "pool2"
  name: "pool2"
  type: POOLING
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layers {
  bottom: "pool2"
  top: "norm2"
  name: "norm2"
  type: LRN
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layers {
  bottom: "norm2"
  top: "conv3"
  name: "conv3"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv3"
  top: "conv3"
  name: "relu3"
  type: RELU
}
layers {
  bottom: "conv3"
  top: "conv4"
  name: "conv4"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv4"
  top: "conv4"
  name: "relu4"
  type: RELU
}
layers {
  bottom: "conv4"
  top: "conv5"
  name: "conv5"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv5"
  top: "conv5"
  name: "relu5"
  type: RELU
}
layers {
  bottom: "conv5"
  top: "fc6"
  name: "fc6"
  type: INNER_PRODUCT
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  inner_product_param {
    num_output: 4096
    weight_filler {
      type: "gaussian"
      std: 0.005
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "fc6"
  top: "fc6"
  name: "relu6"
  type: RELU
}
layers {
  bottom: "fc6"
  top: "fc6"
  name: "drop6"
  type: DROPOUT
  dropout_param {
    dropout_ratio: 0.5
  }
}
layers {
  bottom: "fc6"
  top: "fc7"
  name: "fc7"
  type: INNER_PRODUCT
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  inner_product_param {
    num_output: 4096
    weight_filler {
      type: "gaussian"
      std: 0.005
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "fc7"
  top: "fc7"
  name: "relu7"
  type: RELU
}
layers {
  bottom: "fc7"
  top: "fc7"
  name: "drop7"
  type: DROPOUT
  dropout_param {
    dropout_ratio: 0.5
  }
}
layers {
  bottom: "fc7"
  top: "fc8"
  name: "fc8"
  type: INNER_PRODUCT
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  inner_product_param {
    num_output: 9699
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layers {
  bottom: "fc8"
  bottom: "label"
  top: "loss"
  name: "loss"
  type: SOFTMAX_LOSS
}
state {
  phase: TRAIN
}
I0306 02:30:26.864354  5521 layer_factory.hpp:78] Creating layer data
I0306 02:30:26.866107  5521 net.cpp:68] Creating Layer data
I0306 02:30:26.866127  5521 net.cpp:357] data -> data
I0306 02:30:26.866150  5521 net.cpp:357] data -> label
I0306 02:30:26.866164  5521 net.cpp:97] Setting up data
I0306 02:30:26.866178  5521 data_layer.cpp:34] Opening dataset cache/lsp/LMDB_train
I0306 02:30:26.866338  5521 data_layer.cpp:73] output data size: 512,3,36,36
I0306 02:30:26.867910  5521 net.cpp:104] Top shape: 512 3 36 36 (1990656)
I0306 02:30:26.867947  5521 net.cpp:104] Top shape: 512 1 1 1 (512)
I0306 02:30:26.867956  5521 layer_factory.hpp:78] Creating layer conv1
I0306 02:30:26.867976  5521 net.cpp:68] Creating Layer conv1
I0306 02:30:26.867983  5521 net.cpp:395] conv1 <- data
I0306 02:30:26.868003  5521 net.cpp:357] conv1 -> conv1
I0306 02:30:26.868024  5521 net.cpp:97] Setting up conv1
I0306 02:30:26.924370  5521 net.cpp:104] Top shape: 512 48 36 36 (31850496)
I0306 02:30:26.924433  5521 layer_factory.hpp:78] Creating layer relu1
I0306 02:30:26.924450  5521 net.cpp:68] Creating Layer relu1
I0306 02:30:26.924458  5521 net.cpp:395] relu1 <- conv1
I0306 02:30:26.924470  5521 net.cpp:346] relu1 -> conv1 (in-place)
I0306 02:30:26.924482  5521 net.cpp:97] Setting up relu1
I0306 02:30:26.924511  5521 net.cpp:104] Top shape: 512 48 36 36 (31850496)
I0306 02:30:26.924522  5521 layer_factory.hpp:78] Creating layer pool1
I0306 02:30:26.924535  5521 net.cpp:68] Creating Layer pool1
I0306 02:30:26.924541  5521 net.cpp:395] pool1 <- conv1
I0306 02:30:26.924548  5521 net.cpp:357] pool1 -> pool1
I0306 02:30:26.924557  5521 net.cpp:97] Setting up pool1
I0306 02:30:26.924582  5521 net.cpp:104] Top shape: 512 48 18 18 (7962624)
I0306 02:30:26.924590  5521 layer_factory.hpp:78] Creating layer norm1
I0306 02:30:26.924602  5521 net.cpp:68] Creating Layer norm1
I0306 02:30:26.924609  5521 net.cpp:395] norm1 <- pool1
I0306 02:30:26.924617  5521 net.cpp:357] norm1 -> norm1
I0306 02:30:26.924626  5521 net.cpp:97] Setting up norm1
I0306 02:30:26.924636  5521 net.cpp:104] Top shape: 512 48 18 18 (7962624)
I0306 02:30:26.924643  5521 layer_factory.hpp:78] Creating layer conv2
I0306 02:30:26.924651  5521 net.cpp:68] Creating Layer conv2
I0306 02:30:26.924656  5521 net.cpp:395] conv2 <- norm1
I0306 02:30:26.924665  5521 net.cpp:357] conv2 -> conv2
I0306 02:30:26.924674  5521 net.cpp:97] Setting up conv2
I0306 02:30:26.926280  5521 net.cpp:104] Top shape: 512 128 18 18 (21233664)
I0306 02:30:26.926303  5521 layer_factory.hpp:78] Creating layer relu2
I0306 02:30:26.926312  5521 net.cpp:68] Creating Layer relu2
I0306 02:30:26.926319  5521 net.cpp:395] relu2 <- conv2
I0306 02:30:26.926326  5521 net.cpp:346] relu2 -> conv2 (in-place)
I0306 02:30:26.926334  5521 net.cpp:97] Setting up relu2
I0306 02:30:26.926342  5521 net.cpp:104] Top shape: 512 128 18 18 (21233664)
I0306 02:30:26.926379  5521 layer_factory.hpp:78] Creating layer pool2
I0306 02:30:26.926390  5521 net.cpp:68] Creating Layer pool2
I0306 02:30:26.926398  5521 net.cpp:395] pool2 <- conv2
I0306 02:30:26.926404  5521 net.cpp:357] pool2 -> pool2
I0306 02:30:26.926414  5521 net.cpp:97] Setting up pool2
I0306 02:30:26.926424  5521 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0306 02:30:26.926435  5521 layer_factory.hpp:78] Creating layer norm2
I0306 02:30:26.926446  5521 net.cpp:68] Creating Layer norm2
I0306 02:30:26.926453  5521 net.cpp:395] norm2 <- pool2
I0306 02:30:26.926461  5521 net.cpp:357] norm2 -> norm2
I0306 02:30:26.926470  5521 net.cpp:97] Setting up norm2
I0306 02:30:26.926476  5521 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0306 02:30:26.926482  5521 layer_factory.hpp:78] Creating layer conv3
I0306 02:30:26.926494  5521 net.cpp:68] Creating Layer conv3
I0306 02:30:26.926501  5521 net.cpp:395] conv3 <- norm2
I0306 02:30:26.926508  5521 net.cpp:357] conv3 -> conv3
I0306 02:30:26.926518  5521 net.cpp:97] Setting up conv3
I0306 02:30:26.930722  5521 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0306 02:30:26.930754  5521 layer_factory.hpp:78] Creating layer relu3
I0306 02:30:26.930766  5521 net.cpp:68] Creating Layer relu3
I0306 02:30:26.930774  5521 net.cpp:395] relu3 <- conv3
I0306 02:30:26.930781  5521 net.cpp:346] relu3 -> conv3 (in-place)
I0306 02:30:26.930789  5521 net.cpp:97] Setting up relu3
I0306 02:30:26.930798  5521 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0306 02:30:26.930804  5521 layer_factory.hpp:78] Creating layer conv4
I0306 02:30:26.930814  5521 net.cpp:68] Creating Layer conv4
I0306 02:30:26.930819  5521 net.cpp:395] conv4 <- conv3
I0306 02:30:26.930827  5521 net.cpp:357] conv4 -> conv4
I0306 02:30:26.930835  5521 net.cpp:97] Setting up conv4
I0306 02:30:26.935292  5521 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0306 02:30:26.935315  5521 layer_factory.hpp:78] Creating layer relu4
I0306 02:30:26.935324  5521 net.cpp:68] Creating Layer relu4
I0306 02:30:26.935331  5521 net.cpp:395] relu4 <- conv4
I0306 02:30:26.935341  5521 net.cpp:346] relu4 -> conv4 (in-place)
I0306 02:30:26.935350  5521 net.cpp:97] Setting up relu4
I0306 02:30:26.935359  5521 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0306 02:30:26.935365  5521 layer_factory.hpp:78] Creating layer conv5
I0306 02:30:26.935374  5521 net.cpp:68] Creating Layer conv5
I0306 02:30:26.935380  5521 net.cpp:395] conv5 <- conv4
I0306 02:30:26.935389  5521 net.cpp:357] conv5 -> conv5
I0306 02:30:26.935400  5521 net.cpp:97] Setting up conv5
I0306 02:30:26.940109  5521 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0306 02:30:26.940138  5521 layer_factory.hpp:78] Creating layer relu5
I0306 02:30:26.940150  5521 net.cpp:68] Creating Layer relu5
I0306 02:30:26.940158  5521 net.cpp:395] relu5 <- conv5
I0306 02:30:26.940166  5521 net.cpp:346] relu5 -> conv5 (in-place)
I0306 02:30:26.940176  5521 net.cpp:97] Setting up relu5
I0306 02:30:26.940184  5521 net.cpp:104] Top shape: 512 128 9 9 (5308416)
I0306 02:30:26.940191  5521 layer_factory.hpp:78] Creating layer fc6
I0306 02:30:26.940202  5521 net.cpp:68] Creating Layer fc6
I0306 02:30:26.940209  5521 net.cpp:395] fc6 <- conv5
I0306 02:30:26.940218  5521 net.cpp:357] fc6 -> fc6
I0306 02:30:26.940227  5521 net.cpp:97] Setting up fc6
I0306 02:30:28.481704  5521 net.cpp:104] Top shape: 512 4096 1 1 (2097152)
I0306 02:30:28.481746  5521 layer_factory.hpp:78] Creating layer relu6
I0306 02:30:28.481761  5521 net.cpp:68] Creating Layer relu6
I0306 02:30:28.481770  5521 net.cpp:395] relu6 <- fc6
I0306 02:30:28.481781  5521 net.cpp:346] relu6 -> fc6 (in-place)
I0306 02:30:28.481792  5521 net.cpp:97] Setting up relu6
I0306 02:30:28.481811  5521 net.cpp:104] Top shape: 512 4096 1 1 (2097152)
I0306 02:30:28.481818  5521 layer_factory.hpp:78] Creating layer drop6
I0306 02:30:28.481830  5521 net.cpp:68] Creating Layer drop6
I0306 02:30:28.481838  5521 net.cpp:395] drop6 <- fc6
I0306 02:30:28.481852  5521 net.cpp:346] drop6 -> fc6 (in-place)
I0306 02:30:28.481881  5521 net.cpp:97] Setting up drop6
I0306 02:30:28.481894  5521 net.cpp:104] Top shape: 512 4096 1 1 (2097152)
I0306 02:30:28.481901  5521 layer_factory.hpp:78] Creating layer fc7
I0306 02:30:28.481912  5521 net.cpp:68] Creating Layer fc7
I0306 02:30:28.481920  5521 net.cpp:395] fc7 <- fc6
I0306 02:30:28.481928  5521 net.cpp:357] fc7 -> fc7
I0306 02:30:28.481938  5521 net.cpp:97] Setting up fc7
I0306 02:30:29.102660  5521 net.cpp:104] Top shape: 512 4096 1 1 (2097152)
I0306 02:30:29.102695  5521 layer_factory.hpp:78] Creating layer relu7
I0306 02:30:29.102707  5521 net.cpp:68] Creating Layer relu7
I0306 02:30:29.102716  5521 net.cpp:395] relu7 <- fc7
I0306 02:30:29.102727  5521 net.cpp:346] relu7 -> fc7 (in-place)
I0306 02:30:29.102740  5521 net.cpp:97] Setting up relu7
I0306 02:30:29.102756  5521 net.cpp:104] Top shape: 512 4096 1 1 (2097152)
I0306 02:30:29.102766  5521 layer_factory.hpp:78] Creating layer drop7
I0306 02:30:29.102774  5521 net.cpp:68] Creating Layer drop7
I0306 02:30:29.102782  5521 net.cpp:395] drop7 <- fc7
I0306 02:30:29.102790  5521 net.cpp:346] drop7 -> fc7 (in-place)
I0306 02:30:29.102799  5521 net.cpp:97] Setting up drop7
I0306 02:30:29.102807  5521 net.cpp:104] Top shape: 512 4096 1 1 (2097152)
I0306 02:30:29.102814  5521 layer_factory.hpp:78] Creating layer fc8
I0306 02:30:29.102823  5521 net.cpp:68] Creating Layer fc8
I0306 02:30:29.102830  5521 net.cpp:395] fc8 <- fc7
I0306 02:30:29.102841  5521 net.cpp:357] fc8 -> fc8
I0306 02:30:29.102852  5521 net.cpp:97] Setting up fc8
I0306 02:30:30.553227  5521 net.cpp:104] Top shape: 512 9699 1 1 (4965888)
I0306 02:30:30.553267  5521 layer_factory.hpp:78] Creating layer loss
I0306 02:30:30.553285  5521 net.cpp:68] Creating Layer loss
I0306 02:30:30.553295  5521 net.cpp:395] loss <- fc8
I0306 02:30:30.553305  5521 net.cpp:395] loss <- label
I0306 02:30:30.553314  5521 net.cpp:357] loss -> loss
I0306 02:30:30.553328  5521 net.cpp:97] Setting up loss
I0306 02:30:30.553339  5521 layer_factory.hpp:78] Creating layer loss
I0306 02:30:30.558907  5521 net.cpp:104] Top shape: 1 1 1 1 (1)
I0306 02:30:30.558936  5521 net.cpp:110]     with loss weight 1
I0306 02:30:30.558975  5521 net.cpp:171] loss needs backward computation.
I0306 02:30:30.558986  5521 net.cpp:171] fc8 needs backward computation.
I0306 02:30:30.558997  5521 net.cpp:171] drop7 needs backward computation.
I0306 02:30:30.559007  5521 net.cpp:171] relu7 needs backward computation.
I0306 02:30:30.559015  5521 net.cpp:171] fc7 needs backward computation.
I0306 02:30:30.559021  5521 net.cpp:171] drop6 needs backward computation.
I0306 02:30:30.559028  5521 net.cpp:171] relu6 needs backward computation.
I0306 02:30:30.559034  5521 net.cpp:171] fc6 needs backward computation.
I0306 02:30:30.559042  5521 net.cpp:171] relu5 needs backward computation.
I0306 02:30:30.559049  5521 net.cpp:171] conv5 needs backward computation.
I0306 02:30:30.559056  5521 net.cpp:171] relu4 needs backward computation.
I0306 02:30:30.559063  5521 net.cpp:171] conv4 needs backward computation.
I0306 02:30:30.559070  5521 net.cpp:171] relu3 needs backward computation.
I0306 02:30:30.559077  5521 net.cpp:171] conv3 needs backward computation.
I0306 02:30:30.559084  5521 net.cpp:171] norm2 needs backward computation.
I0306 02:30:30.559092  5521 net.cpp:171] pool2 needs backward computation.
I0306 02:30:30.559098  5521 net.cpp:171] relu2 needs backward computation.
I0306 02:30:30.559105  5521 net.cpp:171] conv2 needs backward computation.
I0306 02:30:30.559113  5521 net.cpp:171] norm1 needs backward computation.
I0306 02:30:30.559120  5521 net.cpp:171] pool1 needs backward computation.
I0306 02:30:30.559128  5521 net.cpp:171] relu1 needs backward computation.
I0306 02:30:30.559134  5521 net.cpp:171] conv1 needs backward computation.
I0306 02:30:30.559141  5521 net.cpp:173] data does not need backward computation.
I0306 02:30:30.559147  5521 net.cpp:209] This network produces output loss
I0306 02:30:30.559170  5521 net.cpp:468] Collecting Learning Rate and Weight Decay.
I0306 02:30:30.559181  5521 net.cpp:220] Network initialization done.
I0306 02:30:30.559214  5521 net.cpp:221] Memory required for data: 736403460
I0306 02:30:30.559875  5521 solver.cpp:154] Creating test net (#0) specified by net file: external/my_models/lsp/lsp_train_val.prototxt
I0306 02:30:30.559924  5521 net.cpp:276] The NetState phase (1) differed from the phase (0) specified by a rule in layer data
I0306 02:30:30.560108  5521 net.cpp:39] Initializing net from parameters: 
name: "TrainValNet"
layers {
  top: "data"
  top: "label"
  name: "data"
  type: DATA
  data_param {
    source: "cache/lsp/LMDB_val"
    batch_size: 260
    backend: LMDB
  }
  include {
    phase: TEST
  }
  transform_param {
    mirror: false
    mean_value: 128
    mean_value: 128
    mean_value: 128
  }
}
layers {
  bottom: "data"
  top: "conv1"
  name: "conv1"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 48
    pad: 2
    kernel_size: 5
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layers {
  bottom: "conv1"
  top: "conv1"
  name: "relu1"
  type: RELU
}
layers {
  bottom: "conv1"
  top: "pool1"
  name: "pool1"
  type: POOLING
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layers {
  bottom: "pool1"
  top: "norm1"
  name: "norm1"
  type: LRN
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layers {
  bottom: "norm1"
  top: "conv2"
  name: "conv2"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv2"
  top: "conv2"
  name: "relu2"
  type: RELU
}
layers {
  bottom: "conv2"
  top: "pool2"
  name: "pool2"
  type: POOLING
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layers {
  bottom: "pool2"
  top: "norm2"
  name: "norm2"
  type: LRN
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layers {
  bottom: "norm2"
  top: "conv3"
  name: "conv3"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv3"
  top: "conv3"
  name: "relu3"
  type: RELU
}
layers {
  bottom: "conv3"
  top: "conv4"
  name: "conv4"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv4"
  top: "conv4"
  name: "relu4"
  type: RELU
}
layers {
  bottom: "conv4"
  top: "conv5"
  name: "conv5"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "conv5"
  top: "conv5"
  name: "relu5"
  type: RELU
}
layers {
  bottom: "conv5"
  top: "fc6"
  name: "fc6"
  type: INNER_PRODUCT
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  inner_product_param {
    num_output: 4096
    weight_filler {
      type: "gaussian"
      std: 0.005
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "fc6"
  top: "fc6"
  name: "relu6"
  type: RELU
}
layers {
  bottom: "fc6"
  top: "fc6"
  name: "drop6"
  type: DROPOUT
  dropout_param {
    dropout_ratio: 0.5
  }
}
layers {
  bottom: "fc6"
  top: "fc7"
  name: "fc7"
  type: INNER_PRODUCT
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  inner_product_param {
    num_output: 4096
    weight_filler {
      type: "gaussian"
      std: 0.005
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layers {
  bottom: "fc7"
  top: "fc7"
  name: "relu7"
  type: RELU
}
layers {
  bottom: "fc7"
  top: "fc7"
  name: "drop7"
  type: DROPOUT
  dropout_param {
    dropout_ratio: 0.5
  }
}
layers {
  bottom: "fc7"
  top: "fc8"
  name: "fc8"
  type: INNER_PRODUCT
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  inner_product_param {
    num_output: 9699
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layers {
  bottom: "fc8"
  bottom: "label"
  top: "accuracy"
  name: "accuracy"
  type: ACCURACY
  include {
    phase: TEST
  }
}
layers {
  bottom: "fc8"
  bottom: "label"
  top: "loss"
  name: "loss"
  type: SOFTMAX_LOSS
}
state {
  phase: TEST
}
I0306 02:30:30.560238  5521 layer_factory.hpp:78] Creating layer data
I0306 02:30:30.560257  5521 net.cpp:68] Creating Layer data
I0306 02:30:30.560267  5521 net.cpp:357] data -> data
I0306 02:30:30.560281  5521 net.cpp:357] data -> label
I0306 02:30:30.560293  5521 net.cpp:97] Setting up data
I0306 02:30:30.560302  5521 data_layer.cpp:34] Opening dataset cache/lsp/LMDB_val
I0306 02:30:30.560384  5521 data_layer.cpp:73] output data size: 260,3,36,36
I0306 02:30:30.561408  5521 net.cpp:104] Top shape: 260 3 36 36 (1010880)
I0306 02:30:30.561430  5521 net.cpp:104] Top shape: 260 1 1 1 (260)
I0306 02:30:30.561439  5521 layer_factory.hpp:78] Creating layer label_data_1_split
I0306 02:30:30.561466  5521 net.cpp:68] Creating Layer label_data_1_split
I0306 02:30:30.561475  5521 net.cpp:395] label_data_1_split <- label
I0306 02:30:30.561486  5521 net.cpp:357] label_data_1_split -> label_data_1_split_0
I0306 02:30:30.561499  5521 net.cpp:357] label_data_1_split -> label_data_1_split_1
I0306 02:30:30.561509  5521 net.cpp:97] Setting up label_data_1_split
I0306 02:30:30.561521  5521 net.cpp:104] Top shape: 260 1 1 1 (260)
I0306 02:30:30.561528  5521 net.cpp:104] Top shape: 260 1 1 1 (260)
I0306 02:30:30.561535  5521 layer_factory.hpp:78] Creating layer conv1
I0306 02:30:30.561555  5521 net.cpp:68] Creating Layer conv1
I0306 02:30:30.561563  5521 net.cpp:395] conv1 <- data
I0306 02:30:30.561573  5521 net.cpp:357] conv1 -> conv1
I0306 02:30:30.561584  5521 net.cpp:97] Setting up conv1
I0306 02:30:30.562005  5521 net.cpp:104] Top shape: 260 48 36 36 (16174080)
I0306 02:30:30.562031  5521 layer_factory.hpp:78] Creating layer relu1
I0306 02:30:30.562043  5521 net.cpp:68] Creating Layer relu1
I0306 02:30:30.562057  5521 net.cpp:395] relu1 <- conv1
I0306 02:30:30.562067  5521 net.cpp:346] relu1 -> conv1 (in-place)
I0306 02:30:30.562077  5521 net.cpp:97] Setting up relu1
I0306 02:30:30.562088  5521 net.cpp:104] Top shape: 260 48 36 36 (16174080)
I0306 02:30:30.562094  5521 layer_factory.hpp:78] Creating layer pool1
I0306 02:30:30.562108  5521 net.cpp:68] Creating Layer pool1
I0306 02:30:30.562116  5521 net.cpp:395] pool1 <- conv1
I0306 02:30:30.562125  5521 net.cpp:357] pool1 -> pool1
I0306 02:30:30.562134  5521 net.cpp:97] Setting up pool1
I0306 02:30:30.562146  5521 net.cpp:104] Top shape: 260 48 18 18 (4043520)
I0306 02:30:30.562158  5521 layer_factory.hpp:78] Creating layer norm1
I0306 02:30:30.562170  5521 net.cpp:68] Creating Layer norm1
I0306 02:30:30.562177  5521 net.cpp:395] norm1 <- pool1
I0306 02:30:30.562186  5521 net.cpp:357] norm1 -> norm1
I0306 02:30:30.562194  5521 net.cpp:97] Setting up norm1
I0306 02:30:30.562202  5521 net.cpp:104] Top shape: 260 48 18 18 (4043520)
I0306 02:30:30.562214  5521 layer_factory.hpp:78] Creating layer conv2
I0306 02:30:30.562232  5521 net.cpp:68] Creating Layer conv2
I0306 02:30:30.562238  5521 net.cpp:395] conv2 <- norm1
I0306 02:30:30.562247  5521 net.cpp:357] conv2 -> conv2
I0306 02:30:30.562258  5521 net.cpp:97] Setting up conv2
I0306 02:30:30.564359  5521 net.cpp:104] Top shape: 260 128 18 18 (10782720)
I0306 02:30:30.564380  5521 layer_factory.hpp:78] Creating layer relu2
I0306 02:30:30.564410  5521 net.cpp:68] Creating Layer relu2
I0306 02:30:30.564419  5521 net.cpp:395] relu2 <- conv2
I0306 02:30:30.564430  5521 net.cpp:346] relu2 -> conv2 (in-place)
I0306 02:30:30.564440  5521 net.cpp:97] Setting up relu2
I0306 02:30:30.564452  5521 net.cpp:104] Top shape: 260 128 18 18 (10782720)
I0306 02:30:30.564460  5521 layer_factory.hpp:78] Creating layer pool2
I0306 02:30:30.564471  5521 net.cpp:68] Creating Layer pool2
I0306 02:30:30.564479  5521 net.cpp:395] pool2 <- conv2
I0306 02:30:30.564488  5521 net.cpp:357] pool2 -> pool2
I0306 02:30:30.564498  5521 net.cpp:97] Setting up pool2
I0306 02:30:30.564509  5521 net.cpp:104] Top shape: 260 128 9 9 (2695680)
I0306 02:30:30.564524  5521 layer_factory.hpp:78] Creating layer norm2
I0306 02:30:30.564534  5521 net.cpp:68] Creating Layer norm2
I0306 02:30:30.564543  5521 net.cpp:395] norm2 <- pool2
I0306 02:30:30.564555  5521 net.cpp:357] norm2 -> norm2
I0306 02:30:30.564564  5521 net.cpp:97] Setting up norm2
I0306 02:30:30.564577  5521 net.cpp:104] Top shape: 260 128 9 9 (2695680)
I0306 02:30:30.564586  5521 layer_factory.hpp:78] Creating layer conv3
I0306 02:30:30.564595  5521 net.cpp:68] Creating Layer conv3
I0306 02:30:30.564602  5521 net.cpp:395] conv3 <- norm2
I0306 02:30:30.564613  5521 net.cpp:357] conv3 -> conv3
I0306 02:30:30.564626  5521 net.cpp:97] Setting up conv3
I0306 02:30:30.570291  5521 net.cpp:104] Top shape: 260 128 9 9 (2695680)
I0306 02:30:30.570332  5521 layer_factory.hpp:78] Creating layer relu3
I0306 02:30:30.570345  5521 net.cpp:68] Creating Layer relu3
I0306 02:30:30.570354  5521 net.cpp:395] relu3 <- conv3
I0306 02:30:30.570365  5521 net.cpp:346] relu3 -> conv3 (in-place)
I0306 02:30:30.570376  5521 net.cpp:97] Setting up relu3
I0306 02:30:30.570387  5521 net.cpp:104] Top shape: 260 128 9 9 (2695680)
I0306 02:30:30.570395  5521 layer_factory.hpp:78] Creating layer conv4
I0306 02:30:30.570406  5521 net.cpp:68] Creating Layer conv4
I0306 02:30:30.570415  5521 net.cpp:395] conv4 <- conv3
I0306 02:30:30.570426  5521 net.cpp:357] conv4 -> conv4
I0306 02:30:30.570438  5521 net.cpp:97] Setting up conv4
I0306 02:30:30.577149  5521 net.cpp:104] Top shape: 260 128 9 9 (2695680)
I0306 02:30:30.577186  5521 layer_factory.hpp:78] Creating layer relu4
I0306 02:30:30.577201  5521 net.cpp:68] Creating Layer relu4
I0306 02:30:30.577213  5521 net.cpp:395] relu4 <- conv4
I0306 02:30:30.577224  5521 net.cpp:346] relu4 -> conv4 (in-place)
I0306 02:30:30.577236  5521 net.cpp:97] Setting up relu4
I0306 02:30:30.577250  5521 net.cpp:104] Top shape: 260 128 9 9 (2695680)
I0306 02:30:30.577260  5521 layer_factory.hpp:78] Creating layer conv5
I0306 02:30:30.577275  5521 net.cpp:68] Creating Layer conv5
I0306 02:30:30.577286  5521 net.cpp:395] conv5 <- conv4
I0306 02:30:30.577297  5521 net.cpp:357] conv5 -> conv5
I0306 02:30:30.577311  5521 net.cpp:97] Setting up conv5
I0306 02:30:30.584609  5521 net.cpp:104] Top shape: 260 128 9 9 (2695680)
I0306 02:30:30.584642  5521 layer_factory.hpp:78] Creating layer relu5
I0306 02:30:30.584656  5521 net.cpp:68] Creating Layer relu5
I0306 02:30:30.584666  5521 net.cpp:395] relu5 <- conv5
I0306 02:30:30.584681  5521 net.cpp:346] relu5 -> conv5 (in-place)
I0306 02:30:30.584693  5521 net.cpp:97] Setting up relu5
I0306 02:30:30.584707  5521 net.cpp:104] Top shape: 260 128 9 9 (2695680)
I0306 02:30:30.584717  5521 layer_factory.hpp:78] Creating layer fc6
I0306 02:30:30.584731  5521 net.cpp:68] Creating Layer fc6
I0306 02:30:30.584743  5521 net.cpp:395] fc6 <- conv5
I0306 02:30:30.584755  5521 net.cpp:357] fc6 -> fc6
I0306 02:30:30.584769  5521 net.cpp:97] Setting up fc6
I0306 02:30:32.197033  5521 net.cpp:104] Top shape: 260 4096 1 1 (1064960)
I0306 02:30:32.197073  5521 layer_factory.hpp:78] Creating layer relu6
I0306 02:30:32.197101  5521 net.cpp:68] Creating Layer relu6
I0306 02:30:32.197110  5521 net.cpp:395] relu6 <- fc6
I0306 02:30:32.197121  5521 net.cpp:346] relu6 -> fc6 (in-place)
I0306 02:30:32.197132  5521 net.cpp:97] Setting up relu6
I0306 02:30:32.197150  5521 net.cpp:104] Top shape: 260 4096 1 1 (1064960)
I0306 02:30:32.197183  5521 layer_factory.hpp:78] Creating layer drop6
I0306 02:30:32.197196  5521 net.cpp:68] Creating Layer drop6
I0306 02:30:32.197204  5521 net.cpp:395] drop6 <- fc6
I0306 02:30:32.197213  5521 net.cpp:346] drop6 -> fc6 (in-place)
I0306 02:30:32.197223  5521 net.cpp:97] Setting up drop6
I0306 02:30:32.197232  5521 net.cpp:104] Top shape: 260 4096 1 1 (1064960)
I0306 02:30:32.197239  5521 layer_factory.hpp:78] Creating layer fc7
I0306 02:30:32.197249  5521 net.cpp:68] Creating Layer fc7
I0306 02:30:32.197257  5521 net.cpp:395] fc7 <- fc6
I0306 02:30:32.197268  5521 net.cpp:357] fc7 -> fc7
I0306 02:30:32.197278  5521 net.cpp:97] Setting up fc7
I0306 02:30:32.827591  5521 net.cpp:104] Top shape: 260 4096 1 1 (1064960)
I0306 02:30:32.827627  5521 layer_factory.hpp:78] Creating layer relu7
I0306 02:30:32.827639  5521 net.cpp:68] Creating Layer relu7
I0306 02:30:32.827648  5521 net.cpp:395] relu7 <- fc7
I0306 02:30:32.827658  5521 net.cpp:346] relu7 -> fc7 (in-place)
I0306 02:30:32.827669  5521 net.cpp:97] Setting up relu7
I0306 02:30:32.827687  5521 net.cpp:104] Top shape: 260 4096 1 1 (1064960)
I0306 02:30:32.827694  5521 layer_factory.hpp:78] Creating layer drop7
I0306 02:30:32.827704  5521 net.cpp:68] Creating Layer drop7
I0306 02:30:32.827711  5521 net.cpp:395] drop7 <- fc7
I0306 02:30:32.827721  5521 net.cpp:346] drop7 -> fc7 (in-place)
I0306 02:30:32.827731  5521 net.cpp:97] Setting up drop7
I0306 02:30:32.827739  5521 net.cpp:104] Top shape: 260 4096 1 1 (1064960)
I0306 02:30:32.827746  5521 layer_factory.hpp:78] Creating layer fc8
I0306 02:30:32.827755  5521 net.cpp:68] Creating Layer fc8
I0306 02:30:32.827764  5521 net.cpp:395] fc8 <- fc7
I0306 02:30:32.827772  5521 net.cpp:357] fc8 -> fc8
I0306 02:30:32.827782  5521 net.cpp:97] Setting up fc8
I0306 02:30:34.311758  5521 net.cpp:104] Top shape: 260 9699 1 1 (2521740)
I0306 02:30:34.311795  5521 layer_factory.hpp:78] Creating layer fc8_fc8_0_split
I0306 02:30:34.311808  5521 net.cpp:68] Creating Layer fc8_fc8_0_split
I0306 02:30:34.311818  5521 net.cpp:395] fc8_fc8_0_split <- fc8
I0306 02:30:34.311830  5521 net.cpp:357] fc8_fc8_0_split -> fc8_fc8_0_split_0
I0306 02:30:34.311843  5521 net.cpp:357] fc8_fc8_0_split -> fc8_fc8_0_split_1
I0306 02:30:34.311854  5521 net.cpp:97] Setting up fc8_fc8_0_split
I0306 02:30:34.311863  5521 net.cpp:104] Top shape: 260 9699 1 1 (2521740)
I0306 02:30:34.311872  5521 net.cpp:104] Top shape: 260 9699 1 1 (2521740)
I0306 02:30:34.311878  5521 layer_factory.hpp:78] Creating layer accuracy
I0306 02:30:34.311895  5521 net.cpp:68] Creating Layer accuracy
I0306 02:30:34.311903  5521 net.cpp:395] accuracy <- fc8_fc8_0_split_0
I0306 02:30:34.311913  5521 net.cpp:395] accuracy <- label_data_1_split_0
I0306 02:30:34.311923  5521 net.cpp:357] accuracy -> accuracy
I0306 02:30:34.311933  5521 net.cpp:97] Setting up accuracy
I0306 02:30:34.311944  5521 net.cpp:104] Top shape: 1 1 1 1 (1)
I0306 02:30:34.311952  5521 layer_factory.hpp:78] Creating layer loss
I0306 02:30:34.311962  5521 net.cpp:68] Creating Layer loss
I0306 02:30:34.311970  5521 net.cpp:395] loss <- fc8_fc8_0_split_1
I0306 02:30:34.311980  5521 net.cpp:395] loss <- label_data_1_split_1
I0306 02:30:34.311987  5521 net.cpp:357] loss -> loss
I0306 02:30:34.311997  5521 net.cpp:97] Setting up loss
I0306 02:30:34.312012  5521 layer_factory.hpp:78] Creating layer loss
I0306 02:30:34.315822  5521 net.cpp:104] Top shape: 1 1 1 1 (1)
I0306 02:30:34.315855  5521 net.cpp:110]     with loss weight 1
I0306 02:30:34.315871  5521 net.cpp:171] loss needs backward computation.
I0306 02:30:34.315881  5521 net.cpp:173] accuracy does not need backward computation.
I0306 02:30:34.315887  5521 net.cpp:171] fc8_fc8_0_split needs backward computation.
I0306 02:30:34.315896  5521 net.cpp:171] fc8 needs backward computation.
I0306 02:30:34.315902  5521 net.cpp:171] drop7 needs backward computation.
I0306 02:30:34.315909  5521 net.cpp:171] relu7 needs backward computation.
I0306 02:30:34.315917  5521 net.cpp:171] fc7 needs backward computation.
I0306 02:30:34.315923  5521 net.cpp:171] drop6 needs backward computation.
I0306 02:30:34.315953  5521 net.cpp:171] relu6 needs backward computation.
I0306 02:30:34.315960  5521 net.cpp:171] fc6 needs backward computation.
I0306 02:30:34.315968  5521 net.cpp:171] relu5 needs backward computation.
I0306 02:30:34.315975  5521 net.cpp:171] conv5 needs backward computation.
I0306 02:30:34.315982  5521 net.cpp:171] relu4 needs backward computation.
I0306 02:30:34.315989  5521 net.cpp:171] conv4 needs backward computation.
I0306 02:30:34.315996  5521 net.cpp:171] relu3 needs backward computation.
I0306 02:30:34.316009  5521 net.cpp:171] conv3 needs backward computation.
I0306 02:30:34.316018  5521 net.cpp:171] norm2 needs backward computation.
I0306 02:30:34.316026  5521 net.cpp:171] pool2 needs backward computation.
I0306 02:30:34.316033  5521 net.cpp:171] relu2 needs backward computation.
I0306 02:30:34.316040  5521 net.cpp:171] conv2 needs backward computation.
I0306 02:30:34.316047  5521 net.cpp:171] norm1 needs backward computation.
I0306 02:30:34.316054  5521 net.cpp:171] pool1 needs backward computation.
I0306 02:30:34.316061  5521 net.cpp:171] relu1 needs backward computation.
I0306 02:30:34.316068  5521 net.cpp:171] conv1 needs backward computation.
I0306 02:30:34.316076  5521 net.cpp:173] label_data_1_split does not need backward computation.
I0306 02:30:34.316083  5521 net.cpp:173] data does not need backward computation.
I0306 02:30:34.316092  5521 net.cpp:209] This network produces output accuracy
I0306 02:30:34.316099  5521 net.cpp:209] This network produces output loss
I0306 02:30:34.316123  5521 net.cpp:468] Collecting Learning Rate and Weight Decay.
I0306 02:30:34.316135  5521 net.cpp:220] Network initialization done.
I0306 02:30:34.316143  5521 net.cpp:221] Memory required for data: 394130888
I0306 02:30:34.316220  5521 solver.cpp:42] Solver scaffolding done.
I0306 02:30:34.316256  5521 solver.cpp:222] Solving TrainValNet
I0306 02:30:34.316263  5521 solver.cpp:223] Learning Rate Policy: step
I0306 02:30:34.316273  5521 solver.cpp:266] Iteration 0, Testing net (#0)
I0306 02:30:51.329134  5521 solver.cpp:317]     Test net output #0: accuracy = 0
I0306 02:30:51.329181  5521 solver.cpp:317]     Test net output #1: loss = 9.396 (* 1 = 9.396 loss)
I0306 02:30:51.502856  5521 solver.cpp:188] Iteration 0, loss = 9.70503
I0306 02:30:51.502962  5521 solver.cpp:203]     Train net output #0: loss = 9.70503 (* 1 = 9.70503 loss)
I0306 02:30:51.503010  5521 solver.cpp:449] Iteration 0, lr = 0.005
I0306 02:31:03.876495  5521 solver.cpp:188] Iteration 40, loss = 7.11219
I0306 02:31:03.876600  5521 solver.cpp:203]     Train net output #0: loss = 7.11219 (* 1 = 7.11219 loss)
I0306 02:31:03.876615  5521 solver.cpp:449] Iteration 40, lr = 0.005
I0306 02:31:16.303565  5521 solver.cpp:188] Iteration 80, loss = 6.8924
I0306 02:31:16.303623  5521 solver.cpp:203]     Train net output #0: loss = 6.8924 (* 1 = 6.8924 loss)
I0306 02:31:16.303637  5521 solver.cpp:449] Iteration 80, lr = 0.005
I0306 02:31:28.742328  5521 solver.cpp:188] Iteration 120, loss = 6.79947
I0306 02:31:28.742391  5521 solver.cpp:203]     Train net output #0: loss = 6.79947 (* 1 = 6.79947 loss)
I0306 02:31:28.742406  5521 solver.cpp:449] Iteration 120, lr = 0.005
I0306 02:31:41.271981  5521 solver.cpp:188] Iteration 160, loss = 6.79836
I0306 02:31:41.272071  5521 solver.cpp:203]     Train net output #0: loss = 6.79836 (* 1 = 6.79836 loss)
I0306 02:31:41.272092  5521 solver.cpp:449] Iteration 160, lr = 0.005
I0306 02:31:53.942270  5521 solver.cpp:188] Iteration 200, loss = 6.89589
I0306 02:31:53.942356  5521 solver.cpp:203]     Train net output #0: loss = 6.89589 (* 1 = 6.89589 loss)
I0306 02:31:53.942376  5521 solver.cpp:449] Iteration 200, lr = 0.005
I0306 02:32:06.483536  5521 solver.cpp:188] Iteration 240, loss = 6.94346
I0306 02:32:06.483587  5521 solver.cpp:203]     Train net output #0: loss = 6.94346 (* 1 = 6.94346 loss)
I0306 02:32:06.483599  5521 solver.cpp:449] Iteration 240, lr = 0.005
I0306 02:32:18.962365  5521 solver.cpp:188] Iteration 280, loss = 6.92484
I0306 02:32:18.962534  5521 solver.cpp:203]     Train net output #0: loss = 6.92484 (* 1 = 6.92484 loss)
I0306 02:32:18.962553  5521 solver.cpp:449] Iteration 280, lr = 0.005
I0306 02:32:31.503070  5521 solver.cpp:188] Iteration 320, loss = 6.80766
I0306 02:32:31.503449  5521 solver.cpp:203]     Train net output #0: loss = 6.80766 (* 1 = 6.80766 loss)
I0306 02:32:31.503577  5521 solver.cpp:449] Iteration 320, lr = 0.005
I0306 02:32:43.876313  5521 solver.cpp:188] Iteration 360, loss = 6.81591
I0306 02:32:43.876380  5521 solver.cpp:203]     Train net output #0: loss = 6.81591 (* 1 = 6.81591 loss)
I0306 02:32:43.876396  5521 solver.cpp:449] Iteration 360, lr = 0.005
I0306 02:32:56.532423  5521 solver.cpp:188] Iteration 400, loss = 6.62441
I0306 02:32:56.532548  5521 solver.cpp:203]     Train net output #0: loss = 6.62441 (* 1 = 6.62441 loss)
I0306 02:32:56.532567  5521 solver.cpp:449] Iteration 400, lr = 0.005
I0306 02:33:09.795127  5521 solver.cpp:188] Iteration 440, loss = 6.72518
I0306 02:33:09.795181  5521 solver.cpp:203]     Train net output #0: loss = 6.72518 (* 1 = 6.72518 loss)
I0306 02:33:09.795195  5521 solver.cpp:449] Iteration 440, lr = 0.005
I0306 02:33:22.856022  5521 solver.cpp:188] Iteration 480, loss = 6.88792
I0306 02:33:22.856142  5521 solver.cpp:203]     Train net output #0: loss = 6.88792 (* 1 = 6.88792 loss)
I0306 02:33:22.856179  5521 solver.cpp:449] Iteration 480, lr = 0.005
I0306 02:33:36.576439  5521 solver.cpp:188] Iteration 520, loss = 6.49039
I0306 02:33:36.576557  5521 solver.cpp:203]     Train net output #0: loss = 6.49039 (* 1 = 6.49039 loss)
I0306 02:33:36.576575  5521 solver.cpp:449] Iteration 520, lr = 0.005
I0306 02:33:49.949020  5521 solver.cpp:188] Iteration 560, loss = 6.67515
I0306 02:33:49.949076  5521 solver.cpp:203]     Train net output #0: loss = 6.67515 (* 1 = 6.67515 loss)
I0306 02:33:49.949090  5521 solver.cpp:449] Iteration 560, lr = 0.005
I0306 02:34:03.190537  5521 solver.cpp:188] Iteration 600, loss = 6.82229
I0306 02:34:03.190600  5521 solver.cpp:203]     Train net output #0: loss = 6.82229 (* 1 = 6.82229 loss)
I0306 02:34:03.190616  5521 solver.cpp:449] Iteration 600, lr = 0.005
I0306 02:34:16.247274  5521 solver.cpp:188] Iteration 640, loss = 6.71196
I0306 02:34:16.247395  5521 solver.cpp:203]     Train net output #0: loss = 6.71196 (* 1 = 6.71196 loss)
I0306 02:34:16.247411  5521 solver.cpp:449] Iteration 640, lr = 0.005
I0306 02:34:29.535553  5521 solver.cpp:188] Iteration 680, loss = 6.63485
I0306 02:34:29.535603  5521 solver.cpp:203]     Train net output #0: loss = 6.63485 (* 1 = 6.63485 loss)
I0306 02:34:29.535615  5521 solver.cpp:449] Iteration 680, lr = 0.005
I0306 02:34:42.975188  5521 solver.cpp:188] Iteration 720, loss = 6.87536
I0306 02:34:42.975247  5521 solver.cpp:203]     Train net output #0: loss = 6.87536 (* 1 = 6.87536 loss)
I0306 02:34:42.975261  5521 solver.cpp:449] Iteration 720, lr = 0.005
I0306 02:34:56.133991  5521 solver.cpp:188] Iteration 760, loss = 6.79512
I0306 02:34:56.134147  5521 solver.cpp:203]     Train net output #0: loss = 6.79512 (* 1 = 6.79512 loss)
I0306 02:34:56.134172  5521 solver.cpp:449] Iteration 760, lr = 0.005
I0306 02:35:09.368744  5521 solver.cpp:188] Iteration 800, loss = 6.77581
I0306 02:35:09.368801  5521 solver.cpp:203]     Train net output #0: loss = 6.77581 (* 1 = 6.77581 loss)
I0306 02:35:09.368816  5521 solver.cpp:449] Iteration 800, lr = 0.005
I0306 02:35:22.719465  5521 solver.cpp:188] Iteration 840, loss = 6.69535
I0306 02:35:22.719519  5521 solver.cpp:203]     Train net output #0: loss = 6.69535 (* 1 = 6.69535 loss)
I0306 02:35:22.719534  5521 solver.cpp:449] Iteration 840, lr = 0.005
I0306 02:35:36.093732  5521 solver.cpp:188] Iteration 880, loss = 6.66565
I0306 02:35:36.093822  5521 solver.cpp:203]     Train net output #0: loss = 6.66565 (* 1 = 6.66565 loss)
I0306 02:35:36.093837  5521 solver.cpp:449] Iteration 880, lr = 0.005
I0306 02:35:49.360385  5521 solver.cpp:188] Iteration 920, loss = 6.78163
I0306 02:35:49.360463  5521 solver.cpp:203]     Train net output #0: loss = 6.78163 (* 1 = 6.78163 loss)
I0306 02:35:49.360481  5521 solver.cpp:449] Iteration 920, lr = 0.005
I0306 02:36:02.513900  5521 solver.cpp:188] Iteration 960, loss = 6.8009
I0306 02:36:02.513993  5521 solver.cpp:203]     Train net output #0: loss = 6.8009 (* 1 = 6.8009 loss)
I0306 02:36:02.514015  5521 solver.cpp:449] Iteration 960, lr = 0.005
I0306 02:36:15.819305  5521 solver.cpp:188] Iteration 1000, loss = 6.57794
I0306 02:36:15.819464  5521 solver.cpp:203]     Train net output #0: loss = 6.57794 (* 1 = 6.57794 loss)
I0306 02:36:15.819481  5521 solver.cpp:449] Iteration 1000, lr = 0.005
I0306 02:36:29.017622  5521 solver.cpp:188] Iteration 1040, loss = 6.69797
I0306 02:36:29.017704  5521 solver.cpp:203]     Train net output #0: loss = 6.69797 (* 1 = 6.69797 loss)
I0306 02:36:29.017735  5521 solver.cpp:449] Iteration 1040, lr = 0.005
I0306 02:36:42.263818  5521 solver.cpp:188] Iteration 1080, loss = 6.46128
I0306 02:36:42.263877  5521 solver.cpp:203]     Train net output #0: loss = 6.46128 (* 1 = 6.46128 loss)
I0306 02:36:42.263895  5521 solver.cpp:449] Iteration 1080, lr = 0.005
I0306 02:36:55.507717  5521 solver.cpp:188] Iteration 1120, loss = 6.7326
I0306 02:36:55.507844  5521 solver.cpp:203]     Train net output #0: loss = 6.7326 (* 1 = 6.7326 loss)
I0306 02:36:55.507864  5521 solver.cpp:449] Iteration 1120, lr = 0.005
I0306 02:37:08.738018  5521 solver.cpp:188] Iteration 1160, loss = 6.44279
I0306 02:37:08.738075  5521 solver.cpp:203]     Train net output #0: loss = 6.44279 (* 1 = 6.44279 loss)
I0306 02:37:08.738091  5521 solver.cpp:449] Iteration 1160, lr = 0.005
I0306 02:37:21.961853  5521 solver.cpp:188] Iteration 1200, loss = 6.37329
I0306 02:37:21.961912  5521 solver.cpp:203]     Train net output #0: loss = 6.37329 (* 1 = 6.37329 loss)
I0306 02:37:21.961930  5521 solver.cpp:449] Iteration 1200, lr = 0.005
I0306 02:37:35.166160  5521 solver.cpp:188] Iteration 1240, loss = 6.40822
I0306 02:37:35.166291  5521 solver.cpp:203]     Train net output #0: loss = 6.40822 (* 1 = 6.40822 loss)
I0306 02:37:35.166309  5521 solver.cpp:449] Iteration 1240, lr = 0.005
I0306 02:37:48.379237  5521 solver.cpp:188] Iteration 1280, loss = 6.35622
I0306 02:37:48.379294  5521 solver.cpp:203]     Train net output #0: loss = 6.35622 (* 1 = 6.35622 loss)
I0306 02:37:48.379312  5521 solver.cpp:449] Iteration 1280, lr = 0.005
I0306 02:38:01.587564  5521 solver.cpp:188] Iteration 1320, loss = 6.31828
I0306 02:38:01.587635  5521 solver.cpp:203]     Train net output #0: loss = 6.31828 (* 1 = 6.31828 loss)
I0306 02:38:01.587663  5521 solver.cpp:449] Iteration 1320, lr = 0.005
I0306 02:38:14.821126  5521 solver.cpp:188] Iteration 1360, loss = 6.31311
I0306 02:38:14.821244  5521 solver.cpp:203]     Train net output #0: loss = 6.31311 (* 1 = 6.31311 loss)
I0306 02:38:14.821262  5521 solver.cpp:449] Iteration 1360, lr = 0.005
I0306 02:38:28.021612  5521 solver.cpp:188] Iteration 1400, loss = 6.17498
I0306 02:38:28.021672  5521 solver.cpp:203]     Train net output #0: loss = 6.17498 (* 1 = 6.17498 loss)
I0306 02:38:28.021688  5521 solver.cpp:449] Iteration 1400, lr = 0.005
I0306 02:38:41.147663  5521 solver.cpp:188] Iteration 1440, loss = 6.19739
I0306 02:38:41.147722  5521 solver.cpp:203]     Train net output #0: loss = 6.19739 (* 1 = 6.19739 loss)
I0306 02:38:41.147739  5521 solver.cpp:449] Iteration 1440, lr = 0.005
I0306 02:38:54.197223  5521 solver.cpp:188] Iteration 1480, loss = 6.18909
I0306 02:38:54.197350  5521 solver.cpp:203]     Train net output #0: loss = 6.18909 (* 1 = 6.18909 loss)
I0306 02:38:54.197383  5521 solver.cpp:449] Iteration 1480, lr = 0.005
I0306 02:39:07.254385  5521 solver.cpp:188] Iteration 1520, loss = 6.039
I0306 02:39:07.254443  5521 solver.cpp:203]     Train net output #0: loss = 6.039 (* 1 = 6.039 loss)
I0306 02:39:07.254461  5521 solver.cpp:449] Iteration 1520, lr = 0.005
I0306 02:39:20.324424  5521 solver.cpp:188] Iteration 1560, loss = 5.88111
I0306 02:39:20.324481  5521 solver.cpp:203]     Train net output #0: loss = 5.88111 (* 1 = 5.88111 loss)
I0306 02:39:20.324498  5521 solver.cpp:449] Iteration 1560, lr = 0.005
I0306 02:39:33.404588  5521 solver.cpp:188] Iteration 1600, loss = 5.78886
I0306 02:39:33.404773  5521 solver.cpp:203]     Train net output #0: loss = 5.78886 (* 1 = 5.78886 loss)
I0306 02:39:33.404793  5521 solver.cpp:449] Iteration 1600, lr = 0.005
I0306 02:39:46.482810  5521 solver.cpp:188] Iteration 1640, loss = 5.54382
I0306 02:39:46.482868  5521 solver.cpp:203]     Train net output #0: loss = 5.54382 (* 1 = 5.54382 loss)
I0306 02:39:46.482893  5521 solver.cpp:449] Iteration 1640, lr = 0.005
I0306 02:39:59.554982  5521 solver.cpp:188] Iteration 1680, loss = 5.51785
I0306 02:39:59.555037  5521 solver.cpp:203]     Train net output #0: loss = 5.51785 (* 1 = 5.51785 loss)
I0306 02:39:59.555053  5521 solver.cpp:449] Iteration 1680, lr = 0.005
I0306 02:40:12.623345  5521 solver.cpp:188] Iteration 1720, loss = 5.52985
I0306 02:40:12.623502  5521 solver.cpp:203]     Train net output #0: loss = 5.52985 (* 1 = 5.52985 loss)
I0306 02:40:12.623522  5521 solver.cpp:449] Iteration 1720, lr = 0.005
I0306 02:40:25.630010  5521 solver.cpp:188] Iteration 1760, loss = 5.4209
I0306 02:40:25.630070  5521 solver.cpp:203]     Train net output #0: loss = 5.4209 (* 1 = 5.4209 loss)
I0306 02:40:25.630086  5521 solver.cpp:449] Iteration 1760, lr = 0.005
I0306 02:40:38.552625  5521 solver.cpp:188] Iteration 1800, loss = 5.33038
I0306 02:40:38.552680  5521 solver.cpp:203]     Train net output #0: loss = 5.33038 (* 1 = 5.33038 loss)
I0306 02:40:38.552697  5521 solver.cpp:449] Iteration 1800, lr = 0.005
I0306 02:40:51.503640  5521 solver.cpp:188] Iteration 1840, loss = 5.25435
I0306 02:40:51.503768  5521 solver.cpp:203]     Train net output #0: loss = 5.25435 (* 1 = 5.25435 loss)
I0306 02:40:51.503801  5521 solver.cpp:449] Iteration 1840, lr = 0.005
I0306 02:41:04.583099  5521 solver.cpp:188] Iteration 1880, loss = 5.12346
I0306 02:41:04.583183  5521 solver.cpp:203]     Train net output #0: loss = 5.12346 (* 1 = 5.12346 loss)
I0306 02:41:04.583216  5521 solver.cpp:449] Iteration 1880, lr = 0.005
I0306 02:41:17.656337  5521 solver.cpp:188] Iteration 1920, loss = 5.12768
I0306 02:41:17.656424  5521 solver.cpp:203]     Train net output #0: loss = 5.12768 (* 1 = 5.12768 loss)
I0306 02:41:17.656456  5521 solver.cpp:449] Iteration 1920, lr = 0.005
I0306 02:41:30.739408  5521 solver.cpp:188] Iteration 1960, loss = 5.04606
I0306 02:41:30.739558  5521 solver.cpp:203]     Train net output #0: loss = 5.04606 (* 1 = 5.04606 loss)
I0306 02:41:30.739593  5521 solver.cpp:449] Iteration 1960, lr = 0.005
I0306 02:41:43.650776  5521 solver.cpp:188] Iteration 2000, loss = 5.08068
I0306 02:41:43.650837  5521 solver.cpp:203]     Train net output #0: loss = 5.08068 (* 1 = 5.08068 loss)
I0306 02:41:43.650856  5521 solver.cpp:449] Iteration 2000, lr = 0.005
I0306 02:41:56.548391  5521 solver.cpp:188] Iteration 2040, loss = 4.81357
I0306 02:41:56.548447  5521 solver.cpp:203]     Train net output #0: loss = 4.81357 (* 1 = 4.81357 loss)
I0306 02:41:56.548461  5521 solver.cpp:449] Iteration 2040, lr = 0.005
I0306 02:42:09.473671  5521 solver.cpp:188] Iteration 2080, loss = 4.85184
I0306 02:42:09.473798  5521 solver.cpp:203]     Train net output #0: loss = 4.85184 (* 1 = 4.85184 loss)
I0306 02:42:09.473820  5521 solver.cpp:449] Iteration 2080, lr = 0.005
I0306 02:42:22.476052  5521 solver.cpp:188] Iteration 2120, loss = 4.80777
I0306 02:42:22.476114  5521 solver.cpp:203]     Train net output #0: loss = 4.80777 (* 1 = 4.80777 loss)
I0306 02:42:22.476131  5521 solver.cpp:449] Iteration 2120, lr = 0.005
I0306 02:42:35.549429  5521 solver.cpp:188] Iteration 2160, loss = 4.65685
I0306 02:42:35.549487  5521 solver.cpp:203]     Train net output #0: loss = 4.65685 (* 1 = 4.65685 loss)
I0306 02:42:35.549504  5521 solver.cpp:449] Iteration 2160, lr = 0.005
I0306 02:42:48.626092  5521 solver.cpp:188] Iteration 2200, loss = 4.86955
I0306 02:42:48.626207  5521 solver.cpp:203]     Train net output #0: loss = 4.86955 (* 1 = 4.86955 loss)
I0306 02:42:48.626225  5521 solver.cpp:449] Iteration 2200, lr = 0.005
I0306 02:43:01.607596  5521 solver.cpp:188] Iteration 2240, loss = 4.731
I0306 02:43:01.607664  5521 solver.cpp:203]     Train net output #0: loss = 4.731 (* 1 = 4.731 loss)
I0306 02:43:01.607686  5521 solver.cpp:449] Iteration 2240, lr = 0.005
I0306 02:43:14.642870  5521 solver.cpp:188] Iteration 2280, loss = 4.49728
I0306 02:43:14.642941  5521 solver.cpp:203]     Train net output #0: loss = 4.49728 (* 1 = 4.49728 loss)
I0306 02:43:14.642957  5521 solver.cpp:449] Iteration 2280, lr = 0.005
I0306 02:43:27.429996  5521 solver.cpp:188] Iteration 2320, loss = 4.74169
I0306 02:43:27.430146  5521 solver.cpp:203]     Train net output #0: loss = 4.74169 (* 1 = 4.74169 loss)
I0306 02:43:27.430165  5521 solver.cpp:449] Iteration 2320, lr = 0.005
I0306 02:43:40.402984  5521 solver.cpp:188] Iteration 2360, loss = 4.57945
I0306 02:43:40.403040  5521 solver.cpp:203]     Train net output #0: loss = 4.57945 (* 1 = 4.57945 loss)
I0306 02:43:40.403059  5521 solver.cpp:449] Iteration 2360, lr = 0.005
I0306 02:43:53.445055  5521 solver.cpp:188] Iteration 2400, loss = 4.5489
I0306 02:43:53.445116  5521 solver.cpp:203]     Train net output #0: loss = 4.5489 (* 1 = 4.5489 loss)
I0306 02:43:53.445132  5521 solver.cpp:449] Iteration 2400, lr = 0.005
I0306 02:44:06.404741  5521 solver.cpp:188] Iteration 2440, loss = 4.32476
I0306 02:44:06.404873  5521 solver.cpp:203]     Train net output #0: loss = 4.32476 (* 1 = 4.32476 loss)
I0306 02:44:06.404891  5521 solver.cpp:449] Iteration 2440, lr = 0.005
I0306 02:44:19.298863  5521 solver.cpp:188] Iteration 2480, loss = 4.63449
I0306 02:44:19.298941  5521 solver.cpp:203]     Train net output #0: loss = 4.63449 (* 1 = 4.63449 loss)
I0306 02:44:19.298967  5521 solver.cpp:449] Iteration 2480, lr = 0.005
I0306 02:44:32.214608  5521 solver.cpp:188] Iteration 2520, loss = 4.55843
I0306 02:44:32.214668  5521 solver.cpp:203]     Train net output #0: loss = 4.55843 (* 1 = 4.55843 loss)
I0306 02:44:32.214685  5521 solver.cpp:449] Iteration 2520, lr = 0.005
I0306 02:44:45.124601  5521 solver.cpp:188] Iteration 2560, loss = 4.56421
I0306 02:44:45.124717  5521 solver.cpp:203]     Train net output #0: loss = 4.56421 (* 1 = 4.56421 loss)
I0306 02:44:45.124737  5521 solver.cpp:449] Iteration 2560, lr = 0.005
I0306 02:44:58.095891  5521 solver.cpp:188] Iteration 2600, loss = 4.36494
I0306 02:44:58.095947  5521 solver.cpp:203]     Train net output #0: loss = 4.36494 (* 1 = 4.36494 loss)
I0306 02:44:58.095964  5521 solver.cpp:449] Iteration 2600, lr = 0.005
I0306 02:45:11.000741  5521 solver.cpp:188] Iteration 2640, loss = 4.60499
I0306 02:45:11.000803  5521 solver.cpp:203]     Train net output #0: loss = 4.60499 (* 1 = 4.60499 loss)
I0306 02:45:11.000820  5521 solver.cpp:449] Iteration 2640, lr = 0.005
I0306 02:45:23.902927  5521 solver.cpp:188] Iteration 2680, loss = 4.31599
I0306 02:45:23.903051  5521 solver.cpp:203]     Train net output #0: loss = 4.31599 (* 1 = 4.31599 loss)
I0306 02:45:23.903071  5521 solver.cpp:449] Iteration 2680, lr = 0.005
I0306 02:45:36.802914  5521 solver.cpp:188] Iteration 2720, loss = 4.2917
I0306 02:45:36.802973  5521 solver.cpp:203]     Train net output #0: loss = 4.2917 (* 1 = 4.2917 loss)
I0306 02:45:36.802989  5521 solver.cpp:449] Iteration 2720, lr = 0.005
I0306 02:45:49.705067  5521 solver.cpp:188] Iteration 2760, loss = 4.50833
I0306 02:45:49.705132  5521 solver.cpp:203]     Train net output #0: loss = 4.50833 (* 1 = 4.50833 loss)
I0306 02:45:49.705150  5521 solver.cpp:449] Iteration 2760, lr = 0.005
I0306 02:46:02.619336  5521 solver.cpp:188] Iteration 2800, loss = 4.09837
I0306 02:46:02.619454  5521 solver.cpp:203]     Train net output #0: loss = 4.09837 (* 1 = 4.09837 loss)
I0306 02:46:02.619473  5521 solver.cpp:449] Iteration 2800, lr = 0.005
I0306 02:46:15.516268  5521 solver.cpp:188] Iteration 2840, loss = 4.47629
I0306 02:46:15.516326  5521 solver.cpp:203]     Train net output #0: loss = 4.47629 (* 1 = 4.47629 loss)
I0306 02:46:15.516343  5521 solver.cpp:449] Iteration 2840, lr = 0.005
I0306 02:46:28.416755  5521 solver.cpp:188] Iteration 2880, loss = 4.21977
I0306 02:46:28.416820  5521 solver.cpp:203]     Train net output #0: loss = 4.21977 (* 1 = 4.21977 loss)
I0306 02:46:28.416836  5521 solver.cpp:449] Iteration 2880, lr = 0.005
I0306 02:46:41.321785  5521 solver.cpp:188] Iteration 2920, loss = 4.11713
I0306 02:46:41.321924  5521 solver.cpp:203]     Train net output #0: loss = 4.11713 (* 1 = 4.11713 loss)
I0306 02:46:41.321944  5521 solver.cpp:449] Iteration 2920, lr = 0.005
I0306 02:46:54.214066  5521 solver.cpp:188] Iteration 2960, loss = 4.37878
I0306 02:46:54.214126  5521 solver.cpp:203]     Train net output #0: loss = 4.37878 (* 1 = 4.37878 loss)
I0306 02:46:54.214149  5521 solver.cpp:449] Iteration 2960, lr = 0.005
I0306 02:47:07.097914  5521 solver.cpp:188] Iteration 3000, loss = 4.28681
I0306 02:47:07.097975  5521 solver.cpp:203]     Train net output #0: loss = 4.28681 (* 1 = 4.28681 loss)
I0306 02:47:07.097997  5521 solver.cpp:449] Iteration 3000, lr = 0.005
I0306 02:47:20.008491  5521 solver.cpp:188] Iteration 3040, loss = 4.02068
I0306 02:47:20.008611  5521 solver.cpp:203]     Train net output #0: loss = 4.02068 (* 1 = 4.02068 loss)
I0306 02:47:20.008635  5521 solver.cpp:449] Iteration 3040, lr = 0.005
I0306 02:47:32.927716  5521 solver.cpp:188] Iteration 3080, loss = 4.14155
I0306 02:47:32.927772  5521 solver.cpp:203]     Train net output #0: loss = 4.14155 (* 1 = 4.14155 loss)
I0306 02:47:32.927789  5521 solver.cpp:449] Iteration 3080, lr = 0.005
I0306 02:47:45.863869  5521 solver.cpp:188] Iteration 3120, loss = 4.16268
I0306 02:47:45.863927  5521 solver.cpp:203]     Train net output #0: loss = 4.16268 (* 1 = 4.16268 loss)
I0306 02:47:45.863942  5521 solver.cpp:449] Iteration 3120, lr = 0.005
I0306 02:47:58.798499  5521 solver.cpp:188] Iteration 3160, loss = 3.95282
I0306 02:47:58.798583  5521 solver.cpp:203]     Train net output #0: loss = 3.95282 (* 1 = 3.95282 loss)
I0306 02:47:58.798599  5521 solver.cpp:449] Iteration 3160, lr = 0.005
I0306 02:48:11.734769  5521 solver.cpp:188] Iteration 3200, loss = 3.95702
I0306 02:48:11.734828  5521 solver.cpp:203]     Train net output #0: loss = 3.95702 (* 1 = 3.95702 loss)
I0306 02:48:11.734845  5521 solver.cpp:449] Iteration 3200, lr = 0.005
I0306 02:48:24.662077  5521 solver.cpp:188] Iteration 3240, loss = 4.0119
I0306 02:48:24.662139  5521 solver.cpp:203]     Train net output #0: loss = 4.0119 (* 1 = 4.0119 loss)
I0306 02:48:24.662156  5521 solver.cpp:449] Iteration 3240, lr = 0.005
I0306 02:48:37.539000  5521 solver.cpp:188] Iteration 3280, loss = 4.14556
I0306 02:48:37.539080  5521 solver.cpp:203]     Train net output #0: loss = 4.14556 (* 1 = 4.14556 loss)
I0306 02:48:37.539096  5521 solver.cpp:449] Iteration 3280, lr = 0.005
I0306 02:48:50.306277  5521 solver.cpp:188] Iteration 3320, loss = 3.95328
I0306 02:48:50.306335  5521 solver.cpp:203]     Train net output #0: loss = 3.95328 (* 1 = 3.95328 loss)
I0306 02:48:50.306350  5521 solver.cpp:449] Iteration 3320, lr = 0.005
I0306 02:49:03.053858  5521 solver.cpp:188] Iteration 3360, loss = 3.67303
I0306 02:49:03.053917  5521 solver.cpp:203]     Train net output #0: loss = 3.67303 (* 1 = 3.67303 loss)
I0306 02:49:03.053932  5521 solver.cpp:449] Iteration 3360, lr = 0.005
I0306 02:49:15.811838  5521 solver.cpp:188] Iteration 3400, loss = 3.98977
I0306 02:49:15.812028  5521 solver.cpp:203]     Train net output #0: loss = 3.98977 (* 1 = 3.98977 loss)
I0306 02:49:15.812052  5521 solver.cpp:449] Iteration 3400, lr = 0.005
I0306 02:49:28.590297  5521 solver.cpp:188] Iteration 3440, loss = 3.96137
I0306 02:49:28.590353  5521 solver.cpp:203]     Train net output #0: loss = 3.96137 (* 1 = 3.96137 loss)
I0306 02:49:28.590368  5521 solver.cpp:449] Iteration 3440, lr = 0.005
I0306 02:49:41.339588  5521 solver.cpp:188] Iteration 3480, loss = 3.96031
I0306 02:49:41.339651  5521 solver.cpp:203]     Train net output #0: loss = 3.96031 (* 1 = 3.96031 loss)
I0306 02:49:41.339668  5521 solver.cpp:449] Iteration 3480, lr = 0.005
I0306 02:49:54.101106  5521 solver.cpp:188] Iteration 3520, loss = 3.84378
I0306 02:49:54.101210  5521 solver.cpp:203]     Train net output #0: loss = 3.84378 (* 1 = 3.84378 loss)
I0306 02:49:54.101228  5521 solver.cpp:449] Iteration 3520, lr = 0.005
I0306 02:50:06.860605  5521 solver.cpp:188] Iteration 3560, loss = 3.88388
I0306 02:50:06.860662  5521 solver.cpp:203]     Train net output #0: loss = 3.88388 (* 1 = 3.88388 loss)
I0306 02:50:06.860679  5521 solver.cpp:449] Iteration 3560, lr = 0.005
I0306 02:50:19.729043  5521 solver.cpp:188] Iteration 3600, loss = 3.80126
I0306 02:50:19.729102  5521 solver.cpp:203]     Train net output #0: loss = 3.80126 (* 1 = 3.80126 loss)
I0306 02:50:19.729120  5521 solver.cpp:449] Iteration 3600, lr = 0.005
I0306 02:50:32.643458  5521 solver.cpp:188] Iteration 3640, loss = 3.78454
I0306 02:50:32.643654  5521 solver.cpp:203]     Train net output #0: loss = 3.78454 (* 1 = 3.78454 loss)
I0306 02:50:32.643673  5521 solver.cpp:449] Iteration 3640, lr = 0.005
I0306 02:50:45.439235  5521 solver.cpp:188] Iteration 3680, loss = 3.94231
I0306 02:50:45.439292  5521 solver.cpp:203]     Train net output #0: loss = 3.94231 (* 1 = 3.94231 loss)
I0306 02:50:45.439308  5521 solver.cpp:449] Iteration 3680, lr = 0.005
I0306 02:50:58.216238  5521 solver.cpp:188] Iteration 3720, loss = 3.88826
I0306 02:50:58.216291  5521 solver.cpp:203]     Train net output #0: loss = 3.88826 (* 1 = 3.88826 loss)
I0306 02:50:58.216305  5521 solver.cpp:449] Iteration 3720, lr = 0.005
I0306 02:51:11.012125  5521 solver.cpp:188] Iteration 3760, loss = 3.88647
I0306 02:51:11.012272  5521 solver.cpp:203]     Train net output #0: loss = 3.88647 (* 1 = 3.88647 loss)
I0306 02:51:11.012291  5521 solver.cpp:449] Iteration 3760, lr = 0.005
I0306 02:51:23.777475  5521 solver.cpp:188] Iteration 3800, loss = 3.68869
I0306 02:51:23.777535  5521 solver.cpp:203]     Train net output #0: loss = 3.68869 (* 1 = 3.68869 loss)
I0306 02:51:23.777552  5521 solver.cpp:449] Iteration 3800, lr = 0.005
I0306 02:51:36.563977  5521 solver.cpp:188] Iteration 3840, loss = 3.68445
I0306 02:51:36.564033  5521 solver.cpp:203]     Train net output #0: loss = 3.68445 (* 1 = 3.68445 loss)
I0306 02:51:36.564049  5521 solver.cpp:449] Iteration 3840, lr = 0.005
I0306 02:51:49.320816  5521 solver.cpp:188] Iteration 3880, loss = 3.76673
I0306 02:51:49.320945  5521 solver.cpp:203]     Train net output #0: loss = 3.76673 (* 1 = 3.76673 loss)
I0306 02:51:49.320963  5521 solver.cpp:449] Iteration 3880, lr = 0.005
I0306 02:52:02.181805  5521 solver.cpp:188] Iteration 3920, loss = 3.6231
I0306 02:52:02.181874  5521 solver.cpp:203]     Train net output #0: loss = 3.6231 (* 1 = 3.6231 loss)
I0306 02:52:02.181891  5521 solver.cpp:449] Iteration 3920, lr = 0.005
I0306 02:52:14.965934  5521 solver.cpp:188] Iteration 3960, loss = 3.87874
I0306 02:52:14.965989  5521 solver.cpp:203]     Train net output #0: loss = 3.87874 (* 1 = 3.87874 loss)
I0306 02:52:14.966004  5521 solver.cpp:449] Iteration 3960, lr = 0.005
I0306 02:52:27.809110  5521 solver.cpp:188] Iteration 4000, loss = 3.71091
I0306 02:52:27.809209  5521 solver.cpp:203]     Train net output #0: loss = 3.71091 (* 1 = 3.71091 loss)
I0306 02:52:27.809226  5521 solver.cpp:449] Iteration 4000, lr = 0.005
I0306 02:52:40.588464  5521 solver.cpp:188] Iteration 4040, loss = 3.82297
I0306 02:52:40.588523  5521 solver.cpp:203]     Train net output #0: loss = 3.82297 (* 1 = 3.82297 loss)
I0306 02:52:40.588539  5521 solver.cpp:449] Iteration 4040, lr = 0.005
I0306 02:52:53.373538  5521 solver.cpp:188] Iteration 4080, loss = 3.81101
I0306 02:52:53.373599  5521 solver.cpp:203]     Train net output #0: loss = 3.81101 (* 1 = 3.81101 loss)
I0306 02:52:53.373615  5521 solver.cpp:449] Iteration 4080, lr = 0.005
I0306 02:53:06.238802  5521 solver.cpp:188] Iteration 4120, loss = 3.44463
I0306 02:53:06.238924  5521 solver.cpp:203]     Train net output #0: loss = 3.44463 (* 1 = 3.44463 loss)
I0306 02:53:06.238940  5521 solver.cpp:449] Iteration 4120, lr = 0.005
I0306 02:53:19.078507  5521 solver.cpp:188] Iteration 4160, loss = 3.72557
I0306 02:53:19.078575  5521 solver.cpp:203]     Train net output #0: loss = 3.72557 (* 1 = 3.72557 loss)
I0306 02:53:19.078593  5521 solver.cpp:449] Iteration 4160, lr = 0.005
I0306 02:53:31.940541  5521 solver.cpp:188] Iteration 4200, loss = 3.81585
I0306 02:53:31.940608  5521 solver.cpp:203]     Train net output #0: loss = 3.81585 (* 1 = 3.81585 loss)
I0306 02:53:31.940624  5521 solver.cpp:449] Iteration 4200, lr = 0.005
I0306 02:53:44.725711  5521 solver.cpp:188] Iteration 4240, loss = 3.78437
I0306 02:53:44.725863  5521 solver.cpp:203]     Train net output #0: loss = 3.78437 (* 1 = 3.78437 loss)
I0306 02:53:44.725882  5521 solver.cpp:449] Iteration 4240, lr = 0.005
I0306 02:53:57.515473  5521 solver.cpp:188] Iteration 4280, loss = 3.69044
I0306 02:53:57.515537  5521 solver.cpp:203]     Train net output #0: loss = 3.69044 (* 1 = 3.69044 loss)
I0306 02:53:57.515552  5521 solver.cpp:449] Iteration 4280, lr = 0.005
I0306 02:54:10.275087  5521 solver.cpp:188] Iteration 4320, loss = 3.42052
I0306 02:54:10.275138  5521 solver.cpp:203]     Train net output #0: loss = 3.42052 (* 1 = 3.42052 loss)
I0306 02:54:10.275152  5521 solver.cpp:449] Iteration 4320, lr = 0.005
I0306 02:54:23.043582  5521 solver.cpp:188] Iteration 4360, loss = 3.5881
I0306 02:54:23.043706  5521 solver.cpp:203]     Train net output #0: loss = 3.5881 (* 1 = 3.5881 loss)
I0306 02:54:23.043723  5521 solver.cpp:449] Iteration 4360, lr = 0.005
I0306 02:54:35.817415  5521 solver.cpp:188] Iteration 4400, loss = 3.51866
I0306 02:54:35.817474  5521 solver.cpp:203]     Train net output #0: loss = 3.51866 (* 1 = 3.51866 loss)
I0306 02:54:35.817491  5521 solver.cpp:449] Iteration 4400, lr = 0.005
I0306 02:54:48.587234  5521 solver.cpp:188] Iteration 4440, loss = 3.76459
I0306 02:54:48.587296  5521 solver.cpp:203]     Train net output #0: loss = 3.76459 (* 1 = 3.76459 loss)
I0306 02:54:48.587311  5521 solver.cpp:449] Iteration 4440, lr = 0.005
I0306 02:55:01.396270  5521 solver.cpp:188] Iteration 4480, loss = 3.69503
I0306 02:55:01.396409  5521 solver.cpp:203]     Train net output #0: loss = 3.69503 (* 1 = 3.69503 loss)
I0306 02:55:01.396426  5521 solver.cpp:449] Iteration 4480, lr = 0.005
I0306 02:55:14.168190  5521 solver.cpp:188] Iteration 4520, loss = 3.50234
I0306 02:55:14.168246  5521 solver.cpp:203]     Train net output #0: loss = 3.50234 (* 1 = 3.50234 loss)
I0306 02:55:14.168259  5521 solver.cpp:449] Iteration 4520, lr = 0.005
I0306 02:55:26.974428  5521 solver.cpp:188] Iteration 4560, loss = 3.47994
I0306 02:55:26.974489  5521 solver.cpp:203]     Train net output #0: loss = 3.47994 (* 1 = 3.47994 loss)
I0306 02:55:26.974505  5521 solver.cpp:449] Iteration 4560, lr = 0.005
I0306 02:55:39.762715  5521 solver.cpp:188] Iteration 4600, loss = 3.25336
I0306 02:55:39.762848  5521 solver.cpp:203]     Train net output #0: loss = 3.25336 (* 1 = 3.25336 loss)
I0306 02:55:39.762866  5521 solver.cpp:449] Iteration 4600, lr = 0.005
I0306 02:55:52.530761  5521 solver.cpp:188] Iteration 4640, loss = 3.45273
I0306 02:55:52.530818  5521 solver.cpp:203]     Train net output #0: loss = 3.45273 (* 1 = 3.45273 loss)
I0306 02:55:52.530835  5521 solver.cpp:449] Iteration 4640, lr = 0.005
I0306 02:56:05.333511  5521 solver.cpp:188] Iteration 4680, loss = 3.61479
I0306 02:56:05.333570  5521 solver.cpp:203]     Train net output #0: loss = 3.61479 (* 1 = 3.61479 loss)
I0306 02:56:05.333587  5521 solver.cpp:449] Iteration 4680, lr = 0.005
I0306 02:56:18.095248  5521 solver.cpp:188] Iteration 4720, loss = 3.53821
I0306 02:56:18.095365  5521 solver.cpp:203]     Train net output #0: loss = 3.53821 (* 1 = 3.53821 loss)
I0306 02:56:18.095381  5521 solver.cpp:449] Iteration 4720, lr = 0.005
I0306 02:56:30.886587  5521 solver.cpp:188] Iteration 4760, loss = 3.4716
I0306 02:56:30.886653  5521 solver.cpp:203]     Train net output #0: loss = 3.4716 (* 1 = 3.4716 loss)
I0306 02:56:30.886668  5521 solver.cpp:449] Iteration 4760, lr = 0.005
I0306 02:56:43.646507  5521 solver.cpp:188] Iteration 4800, loss = 3.43181
I0306 02:56:43.646569  5521 solver.cpp:203]     Train net output #0: loss = 3.43181 (* 1 = 3.43181 loss)
I0306 02:56:43.646584  5521 solver.cpp:449] Iteration 4800, lr = 0.005
I0306 02:56:56.443557  5521 solver.cpp:188] Iteration 4840, loss = 3.43519
I0306 02:56:56.443706  5521 solver.cpp:203]     Train net output #0: loss = 3.43519 (* 1 = 3.43519 loss)
I0306 02:56:56.443723  5521 solver.cpp:449] Iteration 4840, lr = 0.005
I0306 02:57:09.189800  5521 solver.cpp:188] Iteration 4880, loss = 3.64347
I0306 02:57:09.189873  5521 solver.cpp:203]     Train net output #0: loss = 3.64347 (* 1 = 3.64347 loss)
I0306 02:57:09.189892  5521 solver.cpp:449] Iteration 4880, lr = 0.005
I0306 02:57:21.928120  5521 solver.cpp:188] Iteration 4920, loss = 3.66602
I0306 02:57:21.928174  5521 solver.cpp:203]     Train net output #0: loss = 3.66602 (* 1 = 3.66602 loss)
I0306 02:57:21.928189  5521 solver.cpp:449] Iteration 4920, lr = 0.005
I0306 02:57:34.680454  5521 solver.cpp:188] Iteration 4960, loss = 3.46287
I0306 02:57:34.680596  5521 solver.cpp:203]     Train net output #0: loss = 3.46287 (* 1 = 3.46287 loss)
I0306 02:57:34.680618  5521 solver.cpp:449] Iteration 4960, lr = 0.005
I0306 02:57:47.763027  5521 solver.cpp:337] Snapshotting to cache/lsp/lsp_iter_5000.caffemodel
I0306 02:57:48.921922  5521 solver.cpp:345] Snapshotting solver state to cache/lsp/lsp_iter_5000.solverstate
I0306 02:57:49.629701  5521 solver.cpp:266] Iteration 5000, Testing net (#0)
I0306 02:58:06.392485  5521 solver.cpp:317]     Test net output #0: accuracy = 0.307058
I0306 02:58:06.392590  5521 solver.cpp:317]     Test net output #1: loss = 3.42666 (* 1 = 3.42666 loss)
I0306 02:58:06.485040  5521 solver.cpp:188] Iteration 5000, loss = 3.45933
I0306 02:58:06.485095  5521 solver.cpp:203]     Train net output #0: loss = 3.45933 (* 1 = 3.45933 loss)
I0306 02:58:06.485110  5521 solver.cpp:449] Iteration 5000, lr = 0.005
I0306 02:58:18.981160  5521 solver.cpp:188] Iteration 5040, loss = 3.3594
I0306 02:58:18.981225  5521 solver.cpp:203]     Train net output #0: loss = 3.3594 (* 1 = 3.3594 loss)
I0306 02:58:18.981243  5521 solver.cpp:449] Iteration 5040, lr = 0.005
I0306 02:58:32.068565  5521 solver.cpp:188] Iteration 5080, loss = 3.34621
I0306 02:58:32.068622  5521 solver.cpp:203]     Train net output #0: loss = 3.34621 (* 1 = 3.34621 loss)
I0306 02:58:32.068639  5521 solver.cpp:449] Iteration 5080, lr = 0.005
I0306 02:58:44.971917  5521 solver.cpp:188] Iteration 5120, loss = 3.37182
I0306 02:58:44.972028  5521 solver.cpp:203]     Train net output #0: loss = 3.37182 (* 1 = 3.37182 loss)
I0306 02:58:44.972048  5521 solver.cpp:449] Iteration 5120, lr = 0.005
I0306 02:58:57.850041  5521 solver.cpp:188] Iteration 5160, loss = 3.24766
I0306 02:58:57.850100  5521 solver.cpp:203]     Train net output #0: loss = 3.24766 (* 1 = 3.24766 loss)
I0306 02:58:57.850116  5521 solver.cpp:449] Iteration 5160, lr = 0.005
I0306 02:59:10.595605  5521 solver.cpp:188] Iteration 5200, loss = 3.2169
I0306 02:59:10.595661  5521 solver.cpp:203]     Train net output #0: loss = 3.2169 (* 1 = 3.2169 loss)
I0306 02:59:10.595677  5521 solver.cpp:449] Iteration 5200, lr = 0.005
I0306 02:59:23.362699  5521 solver.cpp:188] Iteration 5240, loss = 3.51471
I0306 02:59:23.362809  5521 solver.cpp:203]     Train net output #0: loss = 3.51471 (* 1 = 3.51471 loss)
I0306 02:59:23.362825  5521 solver.cpp:449] Iteration 5240, lr = 0.005
I0306 02:59:36.116484  5521 solver.cpp:188] Iteration 5280, loss = 3.30052
I0306 02:59:36.116540  5521 solver.cpp:203]     Train net output #0: loss = 3.30052 (* 1 = 3.30052 loss)
I0306 02:59:36.116556  5521 solver.cpp:449] Iteration 5280, lr = 0.005
I0306 02:59:48.880070  5521 solver.cpp:188] Iteration 5320, loss = 3.27676
I0306 02:59:48.880127  5521 solver.cpp:203]     Train net output #0: loss = 3.27676 (* 1 = 3.27676 loss)
I0306 02:59:48.880143  5521 solver.cpp:449] Iteration 5320, lr = 0.005
I0306 03:00:01.634155  5521 solver.cpp:188] Iteration 5360, loss = 3.50856
I0306 03:00:01.634269  5521 solver.cpp:203]     Train net output #0: loss = 3.50856 (* 1 = 3.50856 loss)
I0306 03:00:01.634285  5521 solver.cpp:449] Iteration 5360, lr = 0.005
I0306 03:00:14.399351  5521 solver.cpp:188] Iteration 5400, loss = 3.38891
I0306 03:00:14.399408  5521 solver.cpp:203]     Train net output #0: loss = 3.38891 (* 1 = 3.38891 loss)
I0306 03:00:14.399423  5521 solver.cpp:449] Iteration 5400, lr = 0.005
I0306 03:00:27.164271  5521 solver.cpp:188] Iteration 5440, loss = 3.28126
I0306 03:00:27.164332  5521 solver.cpp:203]     Train net output #0: loss = 3.28126 (* 1 = 3.28126 loss)
I0306 03:00:27.164350  5521 solver.cpp:449] Iteration 5440, lr = 0.005
I0306 03:00:39.916723  5521 solver.cpp:188] Iteration 5480, loss = 3.35344
I0306 03:00:39.916857  5521 solver.cpp:203]     Train net output #0: loss = 3.35344 (* 1 = 3.35344 loss)
I0306 03:00:39.916877  5521 solver.cpp:449] Iteration 5480, lr = 0.005
I0306 03:00:52.667801  5521 solver.cpp:188] Iteration 5520, loss = 3.25813
I0306 03:00:52.667858  5521 solver.cpp:203]     Train net output #0: loss = 3.25813 (* 1 = 3.25813 loss)
I0306 03:00:52.667875  5521 solver.cpp:449] Iteration 5520, lr = 0.005
I0306 03:01:05.434732  5521 solver.cpp:188] Iteration 5560, loss = 3.24376
I0306 03:01:05.434788  5521 solver.cpp:203]     Train net output #0: loss = 3.24376 (* 1 = 3.24376 loss)
I0306 03:01:05.434803  5521 solver.cpp:449] Iteration 5560, lr = 0.005
I0306 03:01:18.199764  5521 solver.cpp:188] Iteration 5600, loss = 3.24396
I0306 03:01:18.199903  5521 solver.cpp:203]     Train net output #0: loss = 3.24396 (* 1 = 3.24396 loss)
I0306 03:01:18.199923  5521 solver.cpp:449] Iteration 5600, lr = 0.005
I0306 03:01:30.963170  5521 solver.cpp:188] Iteration 5640, loss = 3.21144
I0306 03:01:30.963227  5521 solver.cpp:203]     Train net output #0: loss = 3.21144 (* 1 = 3.21144 loss)
I0306 03:01:30.963243  5521 solver.cpp:449] Iteration 5640, lr = 0.005
I0306 03:01:43.730630  5521 solver.cpp:188] Iteration 5680, loss = 3.1876
I0306 03:01:43.730690  5521 solver.cpp:203]     Train net output #0: loss = 3.1876 (* 1 = 3.1876 loss)
I0306 03:01:43.730706  5521 solver.cpp:449] Iteration 5680, lr = 0.005
I0306 03:01:56.516430  5521 solver.cpp:188] Iteration 5720, loss = 3.07547
I0306 03:01:56.516542  5521 solver.cpp:203]     Train net output #0: loss = 3.07547 (* 1 = 3.07547 loss)
I0306 03:01:56.516559  5521 solver.cpp:449] Iteration 5720, lr = 0.005
I0306 03:02:09.291502  5521 solver.cpp:188] Iteration 5760, loss = 3.0966
I0306 03:02:09.291560  5521 solver.cpp:203]     Train net output #0: loss = 3.0966 (* 1 = 3.0966 loss)
I0306 03:02:09.291578  5521 solver.cpp:449] Iteration 5760, lr = 0.005
I0306 03:02:22.067034  5521 solver.cpp:188] Iteration 5800, loss = 3.28507
I0306 03:02:22.067095  5521 solver.cpp:203]     Train net output #0: loss = 3.28507 (* 1 = 3.28507 loss)
I0306 03:02:22.067112  5521 solver.cpp:449] Iteration 5800, lr = 0.005
I0306 03:02:34.820637  5521 solver.cpp:188] Iteration 5840, loss = 3.36478
I0306 03:02:34.820755  5521 solver.cpp:203]     Train net output #0: loss = 3.36478 (* 1 = 3.36478 loss)
I0306 03:02:34.820772  5521 solver.cpp:449] Iteration 5840, lr = 0.005
I0306 03:02:47.598081  5521 solver.cpp:188] Iteration 5880, loss = 3.19328
I0306 03:02:47.598136  5521 solver.cpp:203]     Train net output #0: loss = 3.19328 (* 1 = 3.19328 loss)
I0306 03:02:47.598151  5521 solver.cpp:449] Iteration 5880, lr = 0.005
I0306 03:03:00.363337  5521 solver.cpp:188] Iteration 5920, loss = 3.25035
I0306 03:03:00.363390  5521 solver.cpp:203]     Train net output #0: loss = 3.25035 (* 1 = 3.25035 loss)
I0306 03:03:00.363405  5521 solver.cpp:449] Iteration 5920, lr = 0.005
I0306 03:03:13.131925  5521 solver.cpp:188] Iteration 5960, loss = 3.29232
I0306 03:03:13.132038  5521 solver.cpp:203]     Train net output #0: loss = 3.29232 (* 1 = 3.29232 loss)
I0306 03:03:13.132055  5521 solver.cpp:449] Iteration 5960, lr = 0.005
I0306 03:03:25.914060  5521 solver.cpp:188] Iteration 6000, loss = 3.11256
I0306 03:03:25.914115  5521 solver.cpp:203]     Train net output #0: loss = 3.11256 (* 1 = 3.11256 loss)
I0306 03:03:25.914131  5521 solver.cpp:449] Iteration 6000, lr = 0.005
I0306 03:03:38.708410  5521 solver.cpp:188] Iteration 6040, loss = 3.19841
I0306 03:03:38.708466  5521 solver.cpp:203]     Train net output #0: loss = 3.19841 (* 1 = 3.19841 loss)
I0306 03:03:38.708480  5521 solver.cpp:449] Iteration 6040, lr = 0.005
I0306 03:03:51.482826  5521 solver.cpp:188] Iteration 6080, loss = 3.33207
I0306 03:03:51.482995  5521 solver.cpp:203]     Train net output #0: loss = 3.33207 (* 1 = 3.33207 loss)
I0306 03:03:51.483014  5521 solver.cpp:449] Iteration 6080, lr = 0.005
I0306 03:04:04.265924  5521 solver.cpp:188] Iteration 6120, loss = 3.37012
I0306 03:04:04.265982  5521 solver.cpp:203]     Train net output #0: loss = 3.37012 (* 1 = 3.37012 loss)
I0306 03:04:04.265996  5521 solver.cpp:449] Iteration 6120, lr = 0.005
I0306 03:04:17.049614  5521 solver.cpp:188] Iteration 6160, loss = 3.11378
I0306 03:04:17.049674  5521 solver.cpp:203]     Train net output #0: loss = 3.11378 (* 1 = 3.11378 loss)
I0306 03:04:17.049690  5521 solver.cpp:449] Iteration 6160, lr = 0.005
I0306 03:04:29.836761  5521 solver.cpp:188] Iteration 6200, loss = 3.14583
I0306 03:04:29.836881  5521 solver.cpp:203]     Train net output #0: loss = 3.14583 (* 1 = 3.14583 loss)
I0306 03:04:29.836899  5521 solver.cpp:449] Iteration 6200, lr = 0.005
I0306 03:04:42.615794  5521 solver.cpp:188] Iteration 6240, loss = 3.06244
I0306 03:04:42.615847  5521 solver.cpp:203]     Train net output #0: loss = 3.06244 (* 1 = 3.06244 loss)
I0306 03:04:42.615864  5521 solver.cpp:449] Iteration 6240, lr = 0.005
I0306 03:04:55.392124  5521 solver.cpp:188] Iteration 6280, loss = 3.03958
I0306 03:04:55.392182  5521 solver.cpp:203]     Train net output #0: loss = 3.03958 (* 1 = 3.03958 loss)
I0306 03:04:55.392197  5521 solver.cpp:449] Iteration 6280, lr = 0.005
I0306 03:05:08.186807  5521 solver.cpp:188] Iteration 6320, loss = 3.08431
I0306 03:05:08.186923  5521 solver.cpp:203]     Train net output #0: loss = 3.08431 (* 1 = 3.08431 loss)
I0306 03:05:08.186940  5521 solver.cpp:449] Iteration 6320, lr = 0.005
I0306 03:05:20.955013  5521 solver.cpp:188] Iteration 6360, loss = 3.05358
I0306 03:05:20.955066  5521 solver.cpp:203]     Train net output #0: loss = 3.05358 (* 1 = 3.05358 loss)
I0306 03:05:20.955082  5521 solver.cpp:449] Iteration 6360, lr = 0.005
I0306 03:05:33.717257  5521 solver.cpp:188] Iteration 6400, loss = 3.00919
I0306 03:05:33.717319  5521 solver.cpp:203]     Train net output #0: loss = 3.00919 (* 1 = 3.00919 loss)
I0306 03:05:33.717336  5521 solver.cpp:449] Iteration 6400, lr = 0.005
I0306 03:05:46.469782  5521 solver.cpp:188] Iteration 6440, loss = 3.07603
I0306 03:05:46.469892  5521 solver.cpp:203]     Train net output #0: loss = 3.07603 (* 1 = 3.07603 loss)
I0306 03:05:46.469909  5521 solver.cpp:449] Iteration 6440, lr = 0.005
I0306 03:05:59.242182  5521 solver.cpp:188] Iteration 6480, loss = 3.15353
I0306 03:05:59.242240  5521 solver.cpp:203]     Train net output #0: loss = 3.15353 (* 1 = 3.15353 loss)
I0306 03:05:59.242255  5521 solver.cpp:449] Iteration 6480, lr = 0.005
I0306 03:06:12.029795  5521 solver.cpp:188] Iteration 6520, loss = 2.91735
I0306 03:06:12.029857  5521 solver.cpp:203]     Train net output #0: loss = 2.91735 (* 1 = 2.91735 loss)
I0306 03:06:12.029873  5521 solver.cpp:449] Iteration 6520, lr = 0.005
I0306 03:06:24.802314  5521 solver.cpp:188] Iteration 6560, loss = 3.02029
I0306 03:06:24.802443  5521 solver.cpp:203]     Train net output #0: loss = 3.02029 (* 1 = 3.02029 loss)
I0306 03:06:24.802461  5521 solver.cpp:449] Iteration 6560, lr = 0.005
I0306 03:06:37.569985  5521 solver.cpp:188] Iteration 6600, loss = 3.22045
I0306 03:06:37.570042  5521 solver.cpp:203]     Train net output #0: loss = 3.22045 (* 1 = 3.22045 loss)
I0306 03:06:37.570057  5521 solver.cpp:449] Iteration 6600, lr = 0.005
I0306 03:06:50.333858  5521 solver.cpp:188] Iteration 6640, loss = 3.04565
I0306 03:06:50.333919  5521 solver.cpp:203]     Train net output #0: loss = 3.04565 (* 1 = 3.04565 loss)
I0306 03:06:50.333935  5521 solver.cpp:449] Iteration 6640, lr = 0.005
I0306 03:07:03.106477  5521 solver.cpp:188] Iteration 6680, loss = 2.91909
I0306 03:07:03.106595  5521 solver.cpp:203]     Train net output #0: loss = 2.91909 (* 1 = 2.91909 loss)
I0306 03:07:03.106616  5521 solver.cpp:449] Iteration 6680, lr = 0.005
I0306 03:07:15.885530  5521 solver.cpp:188] Iteration 6720, loss = 3.04124
I0306 03:07:15.885594  5521 solver.cpp:203]     Train net output #0: loss = 3.04124 (* 1 = 3.04124 loss)
I0306 03:07:15.885612  5521 solver.cpp:449] Iteration 6720, lr = 0.005
I0306 03:07:28.648175  5521 solver.cpp:188] Iteration 6760, loss = 3.26302
I0306 03:07:28.648234  5521 solver.cpp:203]     Train net output #0: loss = 3.26302 (* 1 = 3.26302 loss)
I0306 03:07:28.648252  5521 solver.cpp:449] Iteration 6760, lr = 0.005
I0306 03:07:41.428127  5521 solver.cpp:188] Iteration 6800, loss = 3.0315
I0306 03:07:41.428268  5521 solver.cpp:203]     Train net output #0: loss = 3.0315 (* 1 = 3.0315 loss)
I0306 03:07:41.428287  5521 solver.cpp:449] Iteration 6800, lr = 0.005
I0306 03:07:54.220463  5521 solver.cpp:188] Iteration 6840, loss = 3.17376
I0306 03:07:54.220518  5521 solver.cpp:203]     Train net output #0: loss = 3.17376 (* 1 = 3.17376 loss)
I0306 03:07:54.220541  5521 solver.cpp:449] Iteration 6840, lr = 0.005
I0306 03:08:07.007907  5521 solver.cpp:188] Iteration 6880, loss = 3.04967
I0306 03:08:07.007966  5521 solver.cpp:203]     Train net output #0: loss = 3.04967 (* 1 = 3.04967 loss)
I0306 03:08:07.007982  5521 solver.cpp:449] Iteration 6880, lr = 0.005
I0306 03:08:19.805778  5521 solver.cpp:188] Iteration 6920, loss = 3.00872
I0306 03:08:19.805865  5521 solver.cpp:203]     Train net output #0: loss = 3.00872 (* 1 = 3.00872 loss)
I0306 03:08:19.805881  5521 solver.cpp:449] Iteration 6920, lr = 0.005
I0306 03:08:32.607147  5521 solver.cpp:188] Iteration 6960, loss = 3.06999
I0306 03:08:32.607203  5521 solver.cpp:203]     Train net output #0: loss = 3.06999 (* 1 = 3.06999 loss)
I0306 03:08:32.607218  5521 solver.cpp:449] Iteration 6960, lr = 0.005
I0306 03:08:45.401074  5521 solver.cpp:188] Iteration 7000, loss = 3.02624
I0306 03:08:45.401135  5521 solver.cpp:203]     Train net output #0: loss = 3.02624 (* 1 = 3.02624 loss)
I0306 03:08:45.401154  5521 solver.cpp:449] Iteration 7000, lr = 0.005
I0306 03:08:58.188741  5521 solver.cpp:188] Iteration 7040, loss = 3.15787
I0306 03:08:58.188833  5521 solver.cpp:203]     Train net output #0: loss = 3.15787 (* 1 = 3.15787 loss)
I0306 03:08:58.188853  5521 solver.cpp:449] Iteration 7040, lr = 0.005
I0306 03:09:10.964295  5521 solver.cpp:188] Iteration 7080, loss = 2.93668
I0306 03:09:10.964354  5521 solver.cpp:203]     Train net output #0: loss = 2.93668 (* 1 = 2.93668 loss)
I0306 03:09:10.964370  5521 solver.cpp:449] Iteration 7080, lr = 0.005
I0306 03:09:23.743516  5521 solver.cpp:188] Iteration 7120, loss = 2.93947
I0306 03:09:23.743573  5521 solver.cpp:203]     Train net output #0: loss = 2.93947 (* 1 = 2.93947 loss)
I0306 03:09:23.743588  5521 solver.cpp:449] Iteration 7120, lr = 0.005
I0306 03:09:36.527289  5521 solver.cpp:188] Iteration 7160, loss = 3.09338
I0306 03:09:36.527411  5521 solver.cpp:203]     Train net output #0: loss = 3.09338 (* 1 = 3.09338 loss)
I0306 03:09:36.527431  5521 solver.cpp:449] Iteration 7160, lr = 0.005
I0306 03:09:49.295157  5521 solver.cpp:188] Iteration 7200, loss = 3.00165
I0306 03:09:49.295210  5521 solver.cpp:203]     Train net output #0: loss = 3.00165 (* 1 = 3.00165 loss)
I0306 03:09:49.295225  5521 solver.cpp:449] Iteration 7200, lr = 0.005
I0306 03:10:02.074659  5521 solver.cpp:188] Iteration 7240, loss = 2.7538
I0306 03:10:02.074724  5521 solver.cpp:203]     Train net output #0: loss = 2.7538 (* 1 = 2.7538 loss)
I0306 03:10:02.074743  5521 solver.cpp:449] Iteration 7240, lr = 0.005
I0306 03:10:14.830101  5521 solver.cpp:188] Iteration 7280, loss = 2.9183
I0306 03:10:14.830222  5521 solver.cpp:203]     Train net output #0: loss = 2.9183 (* 1 = 2.9183 loss)
I0306 03:10:14.830241  5521 solver.cpp:449] Iteration 7280, lr = 0.005
I0306 03:10:27.602172  5521 solver.cpp:188] Iteration 7320, loss = 2.82617
I0306 03:10:27.602232  5521 solver.cpp:203]     Train net output #0: loss = 2.82617 (* 1 = 2.82617 loss)
I0306 03:10:27.602249  5521 solver.cpp:449] Iteration 7320, lr = 0.005
I0306 03:10:40.371814  5521 solver.cpp:188] Iteration 7360, loss = 2.92475
I0306 03:10:40.371875  5521 solver.cpp:203]     Train net output #0: loss = 2.92475 (* 1 = 2.92475 loss)
I0306 03:10:40.371891  5521 solver.cpp:449] Iteration 7360, lr = 0.005
I0306 03:10:53.148617  5521 solver.cpp:188] Iteration 7400, loss = 2.85578
I0306 03:10:53.148769  5521 solver.cpp:203]     Train net output #0: loss = 2.85578 (* 1 = 2.85578 loss)
I0306 03:10:53.148790  5521 solver.cpp:449] Iteration 7400, lr = 0.005
I0306 03:11:05.921378  5521 solver.cpp:188] Iteration 7440, loss = 2.94738
I0306 03:11:05.921437  5521 solver.cpp:203]     Train net output #0: loss = 2.94738 (* 1 = 2.94738 loss)
I0306 03:11:05.921453  5521 solver.cpp:449] Iteration 7440, lr = 0.005
I0306 03:11:18.681035  5521 solver.cpp:188] Iteration 7480, loss = 2.81938
I0306 03:11:18.681092  5521 solver.cpp:203]     Train net output #0: loss = 2.81938 (* 1 = 2.81938 loss)
I0306 03:11:18.681110  5521 solver.cpp:449] Iteration 7480, lr = 0.005
I0306 03:11:31.461988  5521 solver.cpp:188] Iteration 7520, loss = 3.02411
I0306 03:11:31.462112  5521 solver.cpp:203]     Train net output #0: loss = 3.02411 (* 1 = 3.02411 loss)
I0306 03:11:31.462129  5521 solver.cpp:449] Iteration 7520, lr = 0.005
I0306 03:11:44.234210  5521 solver.cpp:188] Iteration 7560, loss = 3.09207
I0306 03:11:44.234266  5521 solver.cpp:203]     Train net output #0: loss = 3.09207 (* 1 = 3.09207 loss)
I0306 03:11:44.234282  5521 solver.cpp:449] Iteration 7560, lr = 0.005
I0306 03:11:57.020561  5521 solver.cpp:188] Iteration 7600, loss = 2.91553
I0306 03:11:57.020616  5521 solver.cpp:203]     Train net output #0: loss = 2.91553 (* 1 = 2.91553 loss)
I0306 03:11:57.020630  5521 solver.cpp:449] Iteration 7600, lr = 0.005
I0306 03:12:09.755156  5521 solver.cpp:188] Iteration 7640, loss = 3.07266
I0306 03:12:09.755280  5521 solver.cpp:203]     Train net output #0: loss = 3.07266 (* 1 = 3.07266 loss)
I0306 03:12:09.755300  5521 solver.cpp:449] Iteration 7640, lr = 0.005
I0306 03:12:22.509258  5521 solver.cpp:188] Iteration 7680, loss = 2.91747
I0306 03:12:22.509315  5521 solver.cpp:203]     Train net output #0: loss = 2.91747 (* 1 = 2.91747 loss)
I0306 03:12:22.509330  5521 solver.cpp:449] Iteration 7680, lr = 0.005
I0306 03:12:35.270143  5521 solver.cpp:188] Iteration 7720, loss = 2.89539
I0306 03:12:35.270195  5521 solver.cpp:203]     Train net output #0: loss = 2.89539 (* 1 = 2.89539 loss)
I0306 03:12:35.270211  5521 solver.cpp:449] Iteration 7720, lr = 0.005
I0306 03:12:48.022658  5521 solver.cpp:188] Iteration 7760, loss = 2.82013
I0306 03:12:48.022773  5521 solver.cpp:203]     Train net output #0: loss = 2.82013 (* 1 = 2.82013 loss)
I0306 03:12:48.022791  5521 solver.cpp:449] Iteration 7760, lr = 0.005
I0306 03:13:00.816498  5521 solver.cpp:188] Iteration 7800, loss = 2.73448
I0306 03:13:00.816558  5521 solver.cpp:203]     Train net output #0: loss = 2.73448 (* 1 = 2.73448 loss)
I0306 03:13:00.816573  5521 solver.cpp:449] Iteration 7800, lr = 0.005
I0306 03:13:13.626615  5521 solver.cpp:188] Iteration 7840, loss = 2.84914
I0306 03:13:13.626673  5521 solver.cpp:203]     Train net output #0: loss = 2.84914 (* 1 = 2.84914 loss)
I0306 03:13:13.626688  5521 solver.cpp:449] Iteration 7840, lr = 0.005
I0306 03:13:26.403661  5521 solver.cpp:188] Iteration 7880, loss = 2.8935
I0306 03:13:26.403777  5521 solver.cpp:203]     Train net output #0: loss = 2.8935 (* 1 = 2.8935 loss)
I0306 03:13:26.403795  5521 solver.cpp:449] Iteration 7880, lr = 0.005
I0306 03:13:39.185132  5521 solver.cpp:188] Iteration 7920, loss = 2.85003
I0306 03:13:39.185190  5521 solver.cpp:203]     Train net output #0: loss = 2.85003 (* 1 = 2.85003 loss)
I0306 03:13:39.185205  5521 solver.cpp:449] Iteration 7920, lr = 0.005
I0306 03:13:51.943811  5521 solver.cpp:188] Iteration 7960, loss = 2.63573
I0306 03:13:51.943871  5521 solver.cpp:203]     Train net output #0: loss = 2.63573 (* 1 = 2.63573 loss)
I0306 03:13:51.943888  5521 solver.cpp:449] Iteration 7960, lr = 0.005
I0306 03:14:04.697048  5521 solver.cpp:188] Iteration 8000, loss = 2.81863
I0306 03:14:04.697156  5521 solver.cpp:203]     Train net output #0: loss = 2.81863 (* 1 = 2.81863 loss)
I0306 03:14:04.697173  5521 solver.cpp:449] Iteration 8000, lr = 0.005
I0306 03:14:17.467341  5521 solver.cpp:188] Iteration 8040, loss = 2.91471
I0306 03:14:17.467401  5521 solver.cpp:203]     Train net output #0: loss = 2.91471 (* 1 = 2.91471 loss)
I0306 03:14:17.467416  5521 solver.cpp:449] Iteration 8040, lr = 0.005
I0306 03:14:30.237998  5521 solver.cpp:188] Iteration 8080, loss = 2.67169
I0306 03:14:30.238064  5521 solver.cpp:203]     Train net output #0: loss = 2.67169 (* 1 = 2.67169 loss)
I0306 03:14:30.238080  5521 solver.cpp:449] Iteration 8080, lr = 0.005
I0306 03:14:43.009333  5521 solver.cpp:188] Iteration 8120, loss = 2.74513
I0306 03:14:43.009454  5521 solver.cpp:203]     Train net output #0: loss = 2.74513 (* 1 = 2.74513 loss)
I0306 03:14:43.009470  5521 solver.cpp:449] Iteration 8120, lr = 0.005
I0306 03:14:55.792248  5521 solver.cpp:188] Iteration 8160, loss = 2.69393
I0306 03:14:55.792304  5521 solver.cpp:203]     Train net output #0: loss = 2.69393 (* 1 = 2.69393 loss)
I0306 03:14:55.792317  5521 solver.cpp:449] Iteration 8160, lr = 0.005
I0306 03:15:08.578642  5521 solver.cpp:188] Iteration 8200, loss = 2.85438
I0306 03:15:08.578706  5521 solver.cpp:203]     Train net output #0: loss = 2.85438 (* 1 = 2.85438 loss)
I0306 03:15:08.578722  5521 solver.cpp:449] Iteration 8200, lr = 0.005
I0306 03:15:21.441700  5521 solver.cpp:188] Iteration 8240, loss = 2.80079
I0306 03:15:21.441787  5521 solver.cpp:203]     Train net output #0: loss = 2.80079 (* 1 = 2.80079 loss)
I0306 03:15:21.441805  5521 solver.cpp:449] Iteration 8240, lr = 0.005
I0306 03:15:34.220999  5521 solver.cpp:188] Iteration 8280, loss = 2.8767
I0306 03:15:34.221062  5521 solver.cpp:203]     Train net output #0: loss = 2.8767 (* 1 = 2.8767 loss)
I0306 03:15:34.221077  5521 solver.cpp:449] Iteration 8280, lr = 0.005
I0306 03:15:46.986922  5521 solver.cpp:188] Iteration 8320, loss = 2.72103
I0306 03:15:46.986979  5521 solver.cpp:203]     Train net output #0: loss = 2.72103 (* 1 = 2.72103 loss)
I0306 03:15:46.986995  5521 solver.cpp:449] Iteration 8320, lr = 0.005
I0306 03:15:59.745784  5521 solver.cpp:188] Iteration 8360, loss = 2.95685
I0306 03:15:59.745894  5521 solver.cpp:203]     Train net output #0: loss = 2.95685 (* 1 = 2.95685 loss)
I0306 03:15:59.745911  5521 solver.cpp:449] Iteration 8360, lr = 0.005
I0306 03:16:12.521404  5521 solver.cpp:188] Iteration 8400, loss = 2.77167
I0306 03:16:12.521461  5521 solver.cpp:203]     Train net output #0: loss = 2.77167 (* 1 = 2.77167 loss)
I0306 03:16:12.521477  5521 solver.cpp:449] Iteration 8400, lr = 0.005
I0306 03:16:25.269995  5521 solver.cpp:188] Iteration 8440, loss = 2.79733
I0306 03:16:25.270051  5521 solver.cpp:203]     Train net output #0: loss = 2.79733 (* 1 = 2.79733 loss)
I0306 03:16:25.270066  5521 solver.cpp:449] Iteration 8440, lr = 0.005
I0306 03:16:38.028647  5521 solver.cpp:188] Iteration 8480, loss = 2.69976
I0306 03:16:38.028731  5521 solver.cpp:203]     Train net output #0: loss = 2.69976 (* 1 = 2.69976 loss)
I0306 03:16:38.028749  5521 solver.cpp:449] Iteration 8480, lr = 0.005
I0306 03:16:50.795454  5521 solver.cpp:188] Iteration 8520, loss = 2.90857
I0306 03:16:50.795508  5521 solver.cpp:203]     Train net output #0: loss = 2.90857 (* 1 = 2.90857 loss)
I0306 03:16:50.795526  5521 solver.cpp:449] Iteration 8520, lr = 0.005
I0306 03:17:03.567862  5521 solver.cpp:188] Iteration 8560, loss = 2.88536
I0306 03:17:03.567919  5521 solver.cpp:203]     Train net output #0: loss = 2.88536 (* 1 = 2.88536 loss)
I0306 03:17:03.567936  5521 solver.cpp:449] Iteration 8560, lr = 0.005
I0306 03:17:16.346545  5521 solver.cpp:188] Iteration 8600, loss = 2.63911
I0306 03:17:16.346668  5521 solver.cpp:203]     Train net output #0: loss = 2.63911 (* 1 = 2.63911 loss)
I0306 03:17:16.346685  5521 solver.cpp:449] Iteration 8600, lr = 0.005
I0306 03:17:29.133091  5521 solver.cpp:188] Iteration 8640, loss = 2.85202
I0306 03:17:29.133147  5521 solver.cpp:203]     Train net output #0: loss = 2.85202 (* 1 = 2.85202 loss)
I0306 03:17:29.133162  5521 solver.cpp:449] Iteration 8640, lr = 0.005
I0306 03:17:41.904698  5521 solver.cpp:188] Iteration 8680, loss = 2.80621
I0306 03:17:41.904755  5521 solver.cpp:203]     Train net output #0: loss = 2.80621 (* 1 = 2.80621 loss)
I0306 03:17:41.904770  5521 solver.cpp:449] Iteration 8680, lr = 0.005
I0306 03:17:54.694258  5521 solver.cpp:188] Iteration 8720, loss = 2.66267
I0306 03:17:54.694406  5521 solver.cpp:203]     Train net output #0: loss = 2.66267 (* 1 = 2.66267 loss)
I0306 03:17:54.694422  5521 solver.cpp:449] Iteration 8720, lr = 0.005
I0306 03:18:07.485440  5521 solver.cpp:188] Iteration 8760, loss = 2.72813
I0306 03:18:07.485497  5521 solver.cpp:203]     Train net output #0: loss = 2.72813 (* 1 = 2.72813 loss)
I0306 03:18:07.485518  5521 solver.cpp:449] Iteration 8760, lr = 0.005
I0306 03:18:20.272496  5521 solver.cpp:188] Iteration 8800, loss = 2.77966
I0306 03:18:20.272552  5521 solver.cpp:203]     Train net output #0: loss = 2.77966 (* 1 = 2.77966 loss)
I0306 03:18:20.272567  5521 solver.cpp:449] Iteration 8800, lr = 0.005
I0306 03:18:33.055270  5521 solver.cpp:188] Iteration 8840, loss = 2.76022
I0306 03:18:33.055388  5521 solver.cpp:203]     Train net output #0: loss = 2.76022 (* 1 = 2.76022 loss)
I0306 03:18:33.055405  5521 solver.cpp:449] Iteration 8840, lr = 0.005
I0306 03:18:45.834758  5521 solver.cpp:188] Iteration 8880, loss = 2.68996
I0306 03:18:45.834815  5521 solver.cpp:203]     Train net output #0: loss = 2.68996 (* 1 = 2.68996 loss)
I0306 03:18:45.834830  5521 solver.cpp:449] Iteration 8880, lr = 0.005
I0306 03:18:58.611259  5521 solver.cpp:188] Iteration 8920, loss = 2.84237
I0306 03:18:58.611322  5521 solver.cpp:203]     Train net output #0: loss = 2.84237 (* 1 = 2.84237 loss)
I0306 03:18:58.611340  5521 solver.cpp:449] Iteration 8920, lr = 0.005
I0306 03:19:11.395532  5521 solver.cpp:188] Iteration 8960, loss = 2.69052
I0306 03:19:11.395612  5521 solver.cpp:203]     Train net output #0: loss = 2.69052 (* 1 = 2.69052 loss)
I0306 03:19:11.395627  5521 solver.cpp:449] Iteration 8960, lr = 0.005
I0306 03:19:24.183905  5521 solver.cpp:188] Iteration 9000, loss = 2.69514
I0306 03:19:24.183961  5521 solver.cpp:203]     Train net output #0: loss = 2.69514 (* 1 = 2.69514 loss)
I0306 03:19:24.183977  5521 solver.cpp:449] Iteration 9000, lr = 0.005
I0306 03:19:36.979344  5521 solver.cpp:188] Iteration 9040, loss = 2.55413
I0306 03:19:36.979405  5521 solver.cpp:203]     Train net output #0: loss = 2.55413 (* 1 = 2.55413 loss)
I0306 03:19:36.979423  5521 solver.cpp:449] Iteration 9040, lr = 0.005
I0306 03:19:49.774736  5521 solver.cpp:188] Iteration 9080, loss = 2.56451
I0306 03:19:49.774860  5521 solver.cpp:203]     Train net output #0: loss = 2.56451 (* 1 = 2.56451 loss)
I0306 03:19:49.774885  5521 solver.cpp:449] Iteration 9080, lr = 0.005
I0306 03:20:02.563802  5521 solver.cpp:188] Iteration 9120, loss = 2.65649
I0306 03:20:02.563858  5521 solver.cpp:203]     Train net output #0: loss = 2.65649 (* 1 = 2.65649 loss)
I0306 03:20:02.563874  5521 solver.cpp:449] Iteration 9120, lr = 0.005
I0306 03:20:15.359279  5521 solver.cpp:188] Iteration 9160, loss = 2.81607
I0306 03:20:15.359335  5521 solver.cpp:203]     Train net output #0: loss = 2.81607 (* 1 = 2.81607 loss)
I0306 03:20:15.359355  5521 solver.cpp:449] Iteration 9160, lr = 0.005
I0306 03:20:28.147236  5521 solver.cpp:188] Iteration 9200, loss = 2.45652
I0306 03:20:28.147352  5521 solver.cpp:203]     Train net output #0: loss = 2.45652 (* 1 = 2.45652 loss)
I0306 03:20:28.147368  5521 solver.cpp:449] Iteration 9200, lr = 0.005
I0306 03:20:40.934140  5521 solver.cpp:188] Iteration 9240, loss = 2.9617
I0306 03:20:40.934200  5521 solver.cpp:203]     Train net output #0: loss = 2.9617 (* 1 = 2.9617 loss)
I0306 03:20:40.934216  5521 solver.cpp:449] Iteration 9240, lr = 0.005
I0306 03:20:53.697662  5521 solver.cpp:188] Iteration 9280, loss = 2.77007
I0306 03:20:53.697724  5521 solver.cpp:203]     Train net output #0: loss = 2.77007 (* 1 = 2.77007 loss)
I0306 03:20:53.697741  5521 solver.cpp:449] Iteration 9280, lr = 0.005
I0306 03:21:06.469106  5521 solver.cpp:188] Iteration 9320, loss = 2.78051
I0306 03:21:06.469221  5521 solver.cpp:203]     Train net output #0: loss = 2.78051 (* 1 = 2.78051 loss)
I0306 03:21:06.469240  5521 solver.cpp:449] Iteration 9320, lr = 0.005
I0306 03:21:19.241760  5521 solver.cpp:188] Iteration 9360, loss = 2.57913
I0306 03:21:19.241821  5521 solver.cpp:203]     Train net output #0: loss = 2.57913 (* 1 = 2.57913 loss)
I0306 03:21:19.241837  5521 solver.cpp:449] Iteration 9360, lr = 0.005
I0306 03:21:32.012683  5521 solver.cpp:188] Iteration 9400, loss = 2.5284
I0306 03:21:32.012743  5521 solver.cpp:203]     Train net output #0: loss = 2.5284 (* 1 = 2.5284 loss)
I0306 03:21:32.012759  5521 solver.cpp:449] Iteration 9400, lr = 0.005
I0306 03:21:44.793565  5521 solver.cpp:188] Iteration 9440, loss = 2.76558
I0306 03:21:44.793728  5521 solver.cpp:203]     Train net output #0: loss = 2.76558 (* 1 = 2.76558 loss)
I0306 03:21:44.793751  5521 solver.cpp:449] Iteration 9440, lr = 0.005
I0306 03:21:57.562708  5521 solver.cpp:188] Iteration 9480, loss = 2.83932
I0306 03:21:57.562767  5521 solver.cpp:203]     Train net output #0: loss = 2.83932 (* 1 = 2.83932 loss)
I0306 03:21:57.562783  5521 solver.cpp:449] Iteration 9480, lr = 0.005
I0306 03:22:10.330044  5521 solver.cpp:188] Iteration 9520, loss = 2.53302
I0306 03:22:10.330099  5521 solver.cpp:203]     Train net output #0: loss = 2.53302 (* 1 = 2.53302 loss)
I0306 03:22:10.330116  5521 solver.cpp:449] Iteration 9520, lr = 0.005
I0306 03:22:23.098136  5521 solver.cpp:188] Iteration 9560, loss = 2.58183
I0306 03:22:23.098255  5521 solver.cpp:203]     Train net output #0: loss = 2.58183 (* 1 = 2.58183 loss)
I0306 03:22:23.098273  5521 solver.cpp:449] Iteration 9560, lr = 0.005
I0306 03:22:35.876725  5521 solver.cpp:188] Iteration 9600, loss = 2.68462
I0306 03:22:35.876781  5521 solver.cpp:203]     Train net output #0: loss = 2.68462 (* 1 = 2.68462 loss)
I0306 03:22:35.876796  5521 solver.cpp:449] Iteration 9600, lr = 0.005
I0306 03:22:48.654929  5521 solver.cpp:188] Iteration 9640, loss = 2.6814
I0306 03:22:48.654988  5521 solver.cpp:203]     Train net output #0: loss = 2.6814 (* 1 = 2.6814 loss)
I0306 03:22:48.655004  5521 solver.cpp:449] Iteration 9640, lr = 0.005
I0306 03:23:01.445130  5521 solver.cpp:188] Iteration 9680, loss = 2.74457
I0306 03:23:01.445242  5521 solver.cpp:203]     Train net output #0: loss = 2.74457 (* 1 = 2.74457 loss)
I0306 03:23:01.445260  5521 solver.cpp:449] Iteration 9680, lr = 0.005
I0306 03:23:14.256263  5521 solver.cpp:188] Iteration 9720, loss = 2.66955
I0306 03:23:14.256320  5521 solver.cpp:203]     Train net output #0: loss = 2.66955 (* 1 = 2.66955 loss)
I0306 03:23:14.256336  5521 solver.cpp:449] Iteration 9720, lr = 0.005
I0306 03:23:27.048382  5521 solver.cpp:188] Iteration 9760, loss = 2.47881
I0306 03:23:27.048444  5521 solver.cpp:203]     Train net output #0: loss = 2.47881 (* 1 = 2.47881 loss)
I0306 03:23:27.048460  5521 solver.cpp:449] Iteration 9760, lr = 0.005
I0306 03:23:39.858404  5521 solver.cpp:188] Iteration 9800, loss = 2.55328
I0306 03:23:39.858525  5521 solver.cpp:203]     Train net output #0: loss = 2.55328 (* 1 = 2.55328 loss)
I0306 03:23:39.858541  5521 solver.cpp:449] Iteration 9800, lr = 0.005
I0306 03:23:52.625077  5521 solver.cpp:188] Iteration 9840, loss = 2.43668
I0306 03:23:52.625134  5521 solver.cpp:203]     Train net output #0: loss = 2.43668 (* 1 = 2.43668 loss)
I0306 03:23:52.625151  5521 solver.cpp:449] Iteration 9840, lr = 0.005
I0306 03:24:05.402498  5521 solver.cpp:188] Iteration 9880, loss = 2.62551
I0306 03:24:05.402559  5521 solver.cpp:203]     Train net output #0: loss = 2.62551 (* 1 = 2.62551 loss)
I0306 03:24:05.402576  5521 solver.cpp:449] Iteration 9880, lr = 0.005
I0306 03:24:18.172301  5521 solver.cpp:188] Iteration 9920, loss = 2.62538
I0306 03:24:18.172415  5521 solver.cpp:203]     Train net output #0: loss = 2.62538 (* 1 = 2.62538 loss)
I0306 03:24:18.172432  5521 solver.cpp:449] Iteration 9920, lr = 0.005
I0306 03:24:30.943763  5521 solver.cpp:188] Iteration 9960, loss = 2.71619
I0306 03:24:30.943821  5521 solver.cpp:203]     Train net output #0: loss = 2.71619 (* 1 = 2.71619 loss)
I0306 03:24:30.943838  5521 solver.cpp:449] Iteration 9960, lr = 0.005
I0306 03:24:44.031060  5521 solver.cpp:337] Snapshotting to cache/lsp/lsp_iter_10000.caffemodel
I0306 03:24:45.137850  5521 solver.cpp:345] Snapshotting solver state to cache/lsp/lsp_iter_10000.solverstate
I0306 03:24:45.832471  5521 solver.cpp:266] Iteration 10000, Testing net (#0)
I0306 03:25:02.641602  5521 solver.cpp:317]     Test net output #0: accuracy = 0.401808
I0306 03:25:02.641738  5521 solver.cpp:317]     Test net output #1: loss = 2.67268 (* 1 = 2.67268 loss)
I0306 03:25:02.736306  5521 solver.cpp:188] Iteration 10000, loss = 2.66327
I0306 03:25:02.736363  5521 solver.cpp:203]     Train net output #0: loss = 2.66327 (* 1 = 2.66327 loss)
I0306 03:25:02.736378  5521 solver.cpp:449] Iteration 10000, lr = 0.005
I0306 03:25:15.132179  5521 solver.cpp:188] Iteration 10040, loss = 2.79474
I0306 03:25:15.132236  5521 solver.cpp:203]     Train net output #0: loss = 2.79474 (* 1 = 2.79474 loss)
I0306 03:25:15.132251  5521 solver.cpp:449] Iteration 10040, lr = 0.005
I0306 03:25:28.116531  5521 solver.cpp:188] Iteration 10080, loss = 2.67571
I0306 03:25:28.116586  5521 solver.cpp:203]     Train net output #0: loss = 2.67571 (* 1 = 2.67571 loss)
I0306 03:25:28.116603  5521 solver.cpp:449] Iteration 10080, lr = 0.005
I0306 03:25:41.045253  5521 solver.cpp:188] Iteration 10120, loss = 2.58391
I0306 03:25:41.045404  5521 solver.cpp:203]     Train net output #0: loss = 2.58391 (* 1 = 2.58391 loss)
I0306 03:25:41.045426  5521 solver.cpp:449] Iteration 10120, lr = 0.005
I0306 03:25:53.958228  5521 solver.cpp:188] Iteration 10160, loss = 2.73732
I0306 03:25:53.958292  5521 solver.cpp:203]     Train net output #0: loss = 2.73732 (* 1 = 2.73732 loss)
I0306 03:25:53.958309  5521 solver.cpp:449] Iteration 10160, lr = 0.005
I0306 03:26:06.772930  5521 solver.cpp:188] Iteration 10200, loss = 2.73478
I0306 03:26:06.772986  5521 solver.cpp:203]     Train net output #0: loss = 2.73478 (* 1 = 2.73478 loss)
I0306 03:26:06.773000  5521 solver.cpp:449] Iteration 10200, lr = 0.005
I0306 03:26:19.533150  5521 solver.cpp:188] Iteration 10240, loss = 2.52386
I0306 03:26:19.533260  5521 solver.cpp:203]     Train net output #0: loss = 2.52386 (* 1 = 2.52386 loss)
I0306 03:26:19.533277  5521 solver.cpp:449] Iteration 10240, lr = 0.005
I0306 03:26:32.294639  5521 solver.cpp:188] Iteration 10280, loss = 2.80755
I0306 03:26:32.294702  5521 solver.cpp:203]     Train net output #0: loss = 2.80755 (* 1 = 2.80755 loss)
I0306 03:26:32.294718  5521 solver.cpp:449] Iteration 10280, lr = 0.005
I0306 03:26:45.046594  5521 solver.cpp:188] Iteration 10320, loss = 2.6131
I0306 03:26:45.046653  5521 solver.cpp:203]     Train net output #0: loss = 2.6131 (* 1 = 2.6131 loss)
I0306 03:26:45.046669  5521 solver.cpp:449] Iteration 10320, lr = 0.005
I0306 03:26:57.793017  5521 solver.cpp:188] Iteration 10360, loss = 2.47155
I0306 03:26:57.793138  5521 solver.cpp:203]     Train net output #0: loss = 2.47155 (* 1 = 2.47155 loss)
I0306 03:26:57.793158  5521 solver.cpp:449] Iteration 10360, lr = 0.005
I0306 03:27:10.531299  5521 solver.cpp:188] Iteration 10400, loss = 2.62299
I0306 03:27:10.531357  5521 solver.cpp:203]     Train net output #0: loss = 2.62299 (* 1 = 2.62299 loss)
I0306 03:27:10.531373  5521 solver.cpp:449] Iteration 10400, lr = 0.005
I0306 03:27:23.276871  5521 solver.cpp:188] Iteration 10440, loss = 2.69652
I0306 03:27:23.276931  5521 solver.cpp:203]     Train net output #0: loss = 2.69652 (* 1 = 2.69652 loss)
I0306 03:27:23.276947  5521 solver.cpp:449] Iteration 10440, lr = 0.005
I0306 03:27:36.022390  5521 solver.cpp:188] Iteration 10480, loss = 2.59532
I0306 03:27:36.022478  5521 solver.cpp:203]     Train net output #0: loss = 2.59532 (* 1 = 2.59532 loss)
I0306 03:27:36.022495  5521 solver.cpp:449] Iteration 10480, lr = 0.005
I0306 03:27:48.770112  5521 solver.cpp:188] Iteration 10520, loss = 2.60956
I0306 03:27:48.770171  5521 solver.cpp:203]     Train net output #0: loss = 2.60956 (* 1 = 2.60956 loss)
I0306 03:27:48.770187  5521 solver.cpp:449] Iteration 10520, lr = 0.005
I0306 03:28:01.537441  5521 solver.cpp:188] Iteration 10560, loss = 2.63238
I0306 03:28:01.537502  5521 solver.cpp:203]     Train net output #0: loss = 2.63238 (* 1 = 2.63238 loss)
I0306 03:28:01.537518  5521 solver.cpp:449] Iteration 10560, lr = 0.005
I0306 03:28:14.319500  5521 solver.cpp:188] Iteration 10600, loss = 2.48223
I0306 03:28:14.319649  5521 solver.cpp:203]     Train net output #0: loss = 2.48223 (* 1 = 2.48223 loss)
I0306 03:28:14.319668  5521 solver.cpp:449] Iteration 10600, lr = 0.005
I0306 03:28:27.086266  5521 solver.cpp:188] Iteration 10640, loss = 2.72632
I0306 03:28:27.086323  5521 solver.cpp:203]     Train net output #0: loss = 2.72632 (* 1 = 2.72632 loss)
I0306 03:28:27.086339  5521 solver.cpp:449] Iteration 10640, lr = 0.005
I0306 03:28:39.867090  5521 solver.cpp:188] Iteration 10680, loss = 2.55996
I0306 03:28:39.867144  5521 solver.cpp:203]     Train net output #0: loss = 2.55996 (* 1 = 2.55996 loss)
I0306 03:28:39.867158  5521 solver.cpp:449] Iteration 10680, lr = 0.005
I0306 03:28:52.638705  5521 solver.cpp:188] Iteration 10720, loss = 2.67561
I0306 03:28:52.638821  5521 solver.cpp:203]     Train net output #0: loss = 2.67561 (* 1 = 2.67561 loss)
I0306 03:28:52.638839  5521 solver.cpp:449] Iteration 10720, lr = 0.005
I0306 03:29:05.419572  5521 solver.cpp:188] Iteration 10760, loss = 2.68907
I0306 03:29:05.419631  5521 solver.cpp:203]     Train net output #0: loss = 2.68907 (* 1 = 2.68907 loss)
I0306 03:29:05.419646  5521 solver.cpp:449] Iteration 10760, lr = 0.005
I0306 03:29:18.178202  5521 solver.cpp:188] Iteration 10800, loss = 2.7029
I0306 03:29:18.178263  5521 solver.cpp:203]     Train net output #0: loss = 2.7029 (* 1 = 2.7029 loss)
I0306 03:29:18.178280  5521 solver.cpp:449] Iteration 10800, lr = 0.005
I0306 03:29:30.936910  5521 solver.cpp:188] Iteration 10840, loss = 2.53857
I0306 03:29:30.937031  5521 solver.cpp:203]     Train net output #0: loss = 2.53857 (* 1 = 2.53857 loss)
I0306 03:29:30.937049  5521 solver.cpp:449] Iteration 10840, lr = 0.005
I0306 03:29:43.698987  5521 solver.cpp:188] Iteration 10880, loss = 2.61478
I0306 03:29:43.699043  5521 solver.cpp:203]     Train net output #0: loss = 2.61478 (* 1 = 2.61478 loss)
I0306 03:29:43.699060  5521 solver.cpp:449] Iteration 10880, lr = 0.005
I0306 03:29:56.462229  5521 solver.cpp:188] Iteration 10920, loss = 2.68686
I0306 03:29:56.462288  5521 solver.cpp:203]     Train net output #0: loss = 2.68686 (* 1 = 2.68686 loss)
I0306 03:29:56.462311  5521 solver.cpp:449] Iteration 10920, lr = 0.005
I0306 03:30:09.248457  5521 solver.cpp:188] Iteration 10960, loss = 2.47812
I0306 03:30:09.248577  5521 solver.cpp:203]     Train net output #0: loss = 2.47812 (* 1 = 2.47812 loss)
I0306 03:30:09.248595  5521 solver.cpp:449] Iteration 10960, lr = 0.005
I0306 03:30:22.040092  5521 solver.cpp:188] Iteration 11000, loss = 2.77228
I0306 03:30:22.040153  5521 solver.cpp:203]     Train net output #0: loss = 2.77228 (* 1 = 2.77228 loss)
I0306 03:30:22.040168  5521 solver.cpp:449] Iteration 11000, lr = 0.005
I0306 03:30:34.827836  5521 solver.cpp:188] Iteration 11040, loss = 2.55079
I0306 03:30:34.827889  5521 solver.cpp:203]     Train net output #0: loss = 2.55079 (* 1 = 2.55079 loss)
I0306 03:30:34.827903  5521 solver.cpp:449] Iteration 11040, lr = 0.005
I0306 03:30:47.604466  5521 solver.cpp:188] Iteration 11080, loss = 2.49831
I0306 03:30:47.604583  5521 solver.cpp:203]     Train net output #0: loss = 2.49831 (* 1 = 2.49831 loss)
I0306 03:30:47.604599  5521 solver.cpp:449] Iteration 11080, lr = 0.005
I0306 03:31:00.372632  5521 solver.cpp:188] Iteration 11120, loss = 2.31938
I0306 03:31:00.372689  5521 solver.cpp:203]     Train net output #0: loss = 2.31938 (* 1 = 2.31938 loss)
I0306 03:31:00.372705  5521 solver.cpp:449] Iteration 11120, lr = 0.005
I0306 03:31:13.132894  5521 solver.cpp:188] Iteration 11160, loss = 2.66422
I0306 03:31:13.132953  5521 solver.cpp:203]     Train net output #0: loss = 2.66422 (* 1 = 2.66422 loss)
I0306 03:31:13.132968  5521 solver.cpp:449] Iteration 11160, lr = 0.005
I0306 03:31:25.910771  5521 solver.cpp:188] Iteration 11200, loss = 2.51714
I0306 03:31:25.910893  5521 solver.cpp:203]     Train net output #0: loss = 2.51714 (* 1 = 2.51714 loss)
I0306 03:31:25.910909  5521 solver.cpp:449] Iteration 11200, lr = 0.005
I0306 03:31:38.678267  5521 solver.cpp:188] Iteration 11240, loss = 2.38083
I0306 03:31:38.678325  5521 solver.cpp:203]     Train net output #0: loss = 2.38083 (* 1 = 2.38083 loss)
I0306 03:31:38.678341  5521 solver.cpp:449] Iteration 11240, lr = 0.005
I0306 03:31:51.459259  5521 solver.cpp:188] Iteration 11280, loss = 2.51403
I0306 03:31:51.459316  5521 solver.cpp:203]     Train net output #0: loss = 2.51403 (* 1 = 2.51403 loss)
I0306 03:31:51.459332  5521 solver.cpp:449] Iteration 11280, lr = 0.005
I0306 03:32:04.246865  5521 solver.cpp:188] Iteration 11320, loss = 2.60405
I0306 03:32:04.247017  5521 solver.cpp:203]     Train net output #0: loss = 2.60405 (* 1 = 2.60405 loss)
I0306 03:32:04.247035  5521 solver.cpp:449] Iteration 11320, lr = 0.005
I0306 03:32:17.021651  5521 solver.cpp:188] Iteration 11360, loss = 2.26468
I0306 03:32:17.021710  5521 solver.cpp:203]     Train net output #0: loss = 2.26468 (* 1 = 2.26468 loss)
I0306 03:32:17.021728  5521 solver.cpp:449] Iteration 11360, lr = 0.005
I0306 03:32:29.802506  5521 solver.cpp:188] Iteration 11400, loss = 2.32936
I0306 03:32:29.802564  5521 solver.cpp:203]     Train net output #0: loss = 2.32936 (* 1 = 2.32936 loss)
I0306 03:32:29.802582  5521 solver.cpp:449] Iteration 11400, lr = 0.005
I0306 03:32:42.589838  5521 solver.cpp:188] Iteration 11440, loss = 2.51955
I0306 03:32:42.589968  5521 solver.cpp:203]     Train net output #0: loss = 2.51955 (* 1 = 2.51955 loss)
I0306 03:32:42.589987  5521 solver.cpp:449] Iteration 11440, lr = 0.005
I0306 03:32:55.365566  5521 solver.cpp:188] Iteration 11480, loss = 2.53374
I0306 03:32:55.365624  5521 solver.cpp:203]     Train net output #0: loss = 2.53374 (* 1 = 2.53374 loss)
I0306 03:32:55.365640  5521 solver.cpp:449] Iteration 11480, lr = 0.005
I0306 03:33:08.143810  5521 solver.cpp:188] Iteration 11520, loss = 2.51929
I0306 03:33:08.143873  5521 solver.cpp:203]     Train net output #0: loss = 2.51929 (* 1 = 2.51929 loss)
I0306 03:33:08.143890  5521 solver.cpp:449] Iteration 11520, lr = 0.005
I0306 03:33:20.814507  5521 solver.cpp:188] Iteration 11560, loss = 2.60637
I0306 03:33:20.814630  5521 solver.cpp:203]     Train net output #0: loss = 2.60637 (* 1 = 2.60637 loss)
I0306 03:33:20.814648  5521 solver.cpp:449] Iteration 11560, lr = 0.005
I0306 03:33:33.473045  5521 solver.cpp:188] Iteration 11600, loss = 2.53864
I0306 03:33:33.473104  5521 solver.cpp:203]     Train net output #0: loss = 2.53864 (* 1 = 2.53864 loss)
I0306 03:33:33.473121  5521 solver.cpp:449] Iteration 11600, lr = 0.005
I0306 03:33:46.278535  5521 solver.cpp:188] Iteration 11640, loss = 2.32895
I0306 03:33:46.278591  5521 solver.cpp:203]     Train net output #0: loss = 2.32895 (* 1 = 2.32895 loss)
I0306 03:33:46.278607  5521 solver.cpp:449] Iteration 11640, lr = 0.005
I0306 03:33:59.042731  5521 solver.cpp:188] Iteration 11680, loss = 2.44107
I0306 03:33:59.042923  5521 solver.cpp:203]     Train net output #0: loss = 2.44107 (* 1 = 2.44107 loss)
I0306 03:33:59.042944  5521 solver.cpp:449] Iteration 11680, lr = 0.005
I0306 03:34:11.815994  5521 solver.cpp:188] Iteration 11720, loss = 2.36301
I0306 03:34:11.816051  5521 solver.cpp:203]     Train net output #0: loss = 2.36301 (* 1 = 2.36301 loss)
I0306 03:34:11.816067  5521 solver.cpp:449] Iteration 11720, lr = 0.005
I0306 03:34:24.597065  5521 solver.cpp:188] Iteration 11760, loss = 2.40032
I0306 03:34:24.597121  5521 solver.cpp:203]     Train net output #0: loss = 2.40032 (* 1 = 2.40032 loss)
I0306 03:34:24.597137  5521 solver.cpp:449] Iteration 11760, lr = 0.005
I0306 03:34:37.383267  5521 solver.cpp:188] Iteration 11800, loss = 2.38659
I0306 03:34:37.383386  5521 solver.cpp:203]     Train net output #0: loss = 2.38659 (* 1 = 2.38659 loss)
I0306 03:34:37.383404  5521 solver.cpp:449] Iteration 11800, lr = 0.005
I0306 03:34:50.171438  5521 solver.cpp:188] Iteration 11840, loss = 2.41025
I0306 03:34:50.171496  5521 solver.cpp:203]     Train net output #0: loss = 2.41025 (* 1 = 2.41025 loss)
I0306 03:34:50.171511  5521 solver.cpp:449] Iteration 11840, lr = 0.005
I0306 03:35:02.955039  5521 solver.cpp:188] Iteration 11880, loss = 2.43306
I0306 03:35:02.955093  5521 solver.cpp:203]     Train net output #0: loss = 2.43306 (* 1 = 2.43306 loss)
I0306 03:35:02.955107  5521 solver.cpp:449] Iteration 11880, lr = 0.005
I0306 03:35:15.750996  5521 solver.cpp:188] Iteration 11920, loss = 2.40596
I0306 03:35:15.751135  5521 solver.cpp:203]     Train net output #0: loss = 2.40596 (* 1 = 2.40596 loss)
I0306 03:35:15.751153  5521 solver.cpp:449] Iteration 11920, lr = 0.005
I0306 03:35:28.543715  5521 solver.cpp:188] Iteration 11960, loss = 2.51999
I0306 03:35:28.543776  5521 solver.cpp:203]     Train net output #0: loss = 2.51999 (* 1 = 2.51999 loss)
I0306 03:35:28.543790  5521 solver.cpp:449] Iteration 11960, lr = 0.005
I0306 03:35:41.306025  5521 solver.cpp:188] Iteration 12000, loss = 2.29236
I0306 03:35:41.306088  5521 solver.cpp:203]     Train net output #0: loss = 2.29236 (* 1 = 2.29236 loss)
I0306 03:35:41.306104  5521 solver.cpp:449] Iteration 12000, lr = 0.005
I0306 03:35:54.054433  5521 solver.cpp:188] Iteration 12040, loss = 2.43607
I0306 03:35:54.054558  5521 solver.cpp:203]     Train net output #0: loss = 2.43607 (* 1 = 2.43607 loss)
I0306 03:35:54.054577  5521 solver.cpp:449] Iteration 12040, lr = 0.005
I0306 03:36:06.825398  5521 solver.cpp:188] Iteration 12080, loss = 2.43869
I0306 03:36:06.825461  5521 solver.cpp:203]     Train net output #0: loss = 2.43869 (* 1 = 2.43869 loss)
I0306 03:36:06.825479  5521 solver.cpp:449] Iteration 12080, lr = 0.005
I0306 03:36:19.590450  5521 solver.cpp:188] Iteration 12120, loss = 2.45061
I0306 03:36:19.590504  5521 solver.cpp:203]     Train net output #0: loss = 2.45061 (* 1 = 2.45061 loss)
I0306 03:36:19.590519  5521 solver.cpp:449] Iteration 12120, lr = 0.005
I0306 03:36:32.355559  5521 solver.cpp:188] Iteration 12160, loss = 2.50923
I0306 03:36:32.355677  5521 solver.cpp:203]     Train net output #0: loss = 2.50923 (* 1 = 2.50923 loss)
I0306 03:36:32.355695  5521 solver.cpp:449] Iteration 12160, lr = 0.005
I0306 03:36:45.117425  5521 solver.cpp:188] Iteration 12200, loss = 2.34581
I0306 03:36:45.117486  5521 solver.cpp:203]     Train net output #0: loss = 2.34581 (* 1 = 2.34581 loss)
I0306 03:36:45.117502  5521 solver.cpp:449] Iteration 12200, lr = 0.005
I0306 03:36:57.881206  5521 solver.cpp:188] Iteration 12240, loss = 2.51358
I0306 03:36:57.881263  5521 solver.cpp:203]     Train net output #0: loss = 2.51358 (* 1 = 2.51358 loss)
I0306 03:36:57.881279  5521 solver.cpp:449] Iteration 12240, lr = 0.005
I0306 03:37:10.650727  5521 solver.cpp:188] Iteration 12280, loss = 2.50246
I0306 03:37:10.650838  5521 solver.cpp:203]     Train net output #0: loss = 2.50246 (* 1 = 2.50246 loss)
I0306 03:37:10.650854  5521 solver.cpp:449] Iteration 12280, lr = 0.005
I0306 03:37:23.429869  5521 solver.cpp:188] Iteration 12320, loss = 2.3753
I0306 03:37:23.429925  5521 solver.cpp:203]     Train net output #0: loss = 2.3753 (* 1 = 2.3753 loss)
I0306 03:37:23.429940  5521 solver.cpp:449] Iteration 12320, lr = 0.005
I0306 03:37:36.206643  5521 solver.cpp:188] Iteration 12360, loss = 2.26591
I0306 03:37:36.206707  5521 solver.cpp:203]     Train net output #0: loss = 2.26591 (* 1 = 2.26591 loss)
I0306 03:37:36.206725  5521 solver.cpp:449] Iteration 12360, lr = 0.005
I0306 03:37:48.986042  5521 solver.cpp:188] Iteration 12400, loss = 2.56175
I0306 03:37:48.986160  5521 solver.cpp:203]     Train net output #0: loss = 2.56175 (* 1 = 2.56175 loss)
I0306 03:37:48.986179  5521 solver.cpp:449] Iteration 12400, lr = 0.005
I0306 03:38:01.759448  5521 solver.cpp:188] Iteration 12440, loss = 2.36541
I0306 03:38:01.759510  5521 solver.cpp:203]     Train net output #0: loss = 2.36541 (* 1 = 2.36541 loss)
I0306 03:38:01.759527  5521 solver.cpp:449] Iteration 12440, lr = 0.005
I0306 03:38:14.527415  5521 solver.cpp:188] Iteration 12480, loss = 2.1877
I0306 03:38:14.527473  5521 solver.cpp:203]     Train net output #0: loss = 2.1877 (* 1 = 2.1877 loss)
I0306 03:38:14.527489  5521 solver.cpp:449] Iteration 12480, lr = 0.005
I0306 03:38:27.286147  5521 solver.cpp:188] Iteration 12520, loss = 2.26399
I0306 03:38:27.286294  5521 solver.cpp:203]     Train net output #0: loss = 2.26399 (* 1 = 2.26399 loss)
I0306 03:38:27.286312  5521 solver.cpp:449] Iteration 12520, lr = 0.005
I0306 03:38:40.043221  5521 solver.cpp:188] Iteration 12560, loss = 2.44762
I0306 03:38:40.043275  5521 solver.cpp:203]     Train net output #0: loss = 2.44762 (* 1 = 2.44762 loss)
I0306 03:38:40.043292  5521 solver.cpp:449] Iteration 12560, lr = 0.005
I0306 03:38:52.811038  5521 solver.cpp:188] Iteration 12600, loss = 2.34913
I0306 03:38:52.811094  5521 solver.cpp:203]     Train net output #0: loss = 2.34913 (* 1 = 2.34913 loss)
I0306 03:38:52.811108  5521 solver.cpp:449] Iteration 12600, lr = 0.005
I0306 03:39:05.578979  5521 solver.cpp:188] Iteration 12640, loss = 2.38298
I0306 03:39:05.579102  5521 solver.cpp:203]     Train net output #0: loss = 2.38298 (* 1 = 2.38298 loss)
I0306 03:39:05.579121  5521 solver.cpp:449] Iteration 12640, lr = 0.005
I0306 03:39:18.344465  5521 solver.cpp:188] Iteration 12680, loss = 2.62456
I0306 03:39:18.344522  5521 solver.cpp:203]     Train net output #0: loss = 2.62456 (* 1 = 2.62456 loss)
I0306 03:39:18.344539  5521 solver.cpp:449] Iteration 12680, lr = 0.005
I0306 03:39:31.117931  5521 solver.cpp:188] Iteration 12720, loss = 2.26913
I0306 03:39:31.117996  5521 solver.cpp:203]     Train net output #0: loss = 2.26913 (* 1 = 2.26913 loss)
I0306 03:39:31.118013  5521 solver.cpp:449] Iteration 12720, lr = 0.005
I0306 03:39:43.883909  5521 solver.cpp:188] Iteration 12760, loss = 2.41078
I0306 03:39:43.884035  5521 solver.cpp:203]     Train net output #0: loss = 2.41078 (* 1 = 2.41078 loss)
I0306 03:39:43.884053  5521 solver.cpp:449] Iteration 12760, lr = 0.005
I0306 03:39:56.750694  5521 solver.cpp:188] Iteration 12800, loss = 2.45875
I0306 03:39:56.750764  5521 solver.cpp:203]     Train net output #0: loss = 2.45875 (* 1 = 2.45875 loss)
I0306 03:39:56.750779  5521 solver.cpp:449] Iteration 12800, lr = 0.005
I0306 03:40:09.691689  5521 solver.cpp:188] Iteration 12840, loss = 2.50072
I0306 03:40:09.691754  5521 solver.cpp:203]     Train net output #0: loss = 2.50072 (* 1 = 2.50072 loss)
I0306 03:40:09.691772  5521 solver.cpp:449] Iteration 12840, lr = 0.005
I0306 03:40:22.641062  5521 solver.cpp:188] Iteration 12880, loss = 2.50548
I0306 03:40:22.641161  5521 solver.cpp:203]     Train net output #0: loss = 2.50548 (* 1 = 2.50548 loss)
I0306 03:40:22.641177  5521 solver.cpp:449] Iteration 12880, lr = 0.005
I0306 03:40:35.556677  5521 solver.cpp:188] Iteration 12920, loss = 2.31253
I0306 03:40:35.556730  5521 solver.cpp:203]     Train net output #0: loss = 2.31253 (* 1 = 2.31253 loss)
I0306 03:40:35.556746  5521 solver.cpp:449] Iteration 12920, lr = 0.005
I0306 03:40:48.483695  5521 solver.cpp:188] Iteration 12960, loss = 2.29548
I0306 03:40:48.483757  5521 solver.cpp:203]     Train net output #0: loss = 2.29548 (* 1 = 2.29548 loss)
I0306 03:40:48.483773  5521 solver.cpp:449] Iteration 12960, lr = 0.005
I0306 03:41:01.396311  5521 solver.cpp:188] Iteration 13000, loss = 2.54794
I0306 03:41:01.396426  5521 solver.cpp:203]     Train net output #0: loss = 2.54794 (* 1 = 2.54794 loss)
I0306 03:41:01.396443  5521 solver.cpp:449] Iteration 13000, lr = 0.005
I0306 03:41:14.346356  5521 solver.cpp:188] Iteration 13040, loss = 2.36194
I0306 03:41:14.346418  5521 solver.cpp:203]     Train net output #0: loss = 2.36194 (* 1 = 2.36194 loss)
I0306 03:41:14.346436  5521 solver.cpp:449] Iteration 13040, lr = 0.005
I0306 03:41:27.166615  5521 solver.cpp:188] Iteration 13080, loss = 2.32097
I0306 03:41:27.166676  5521 solver.cpp:203]     Train net output #0: loss = 2.32097 (* 1 = 2.32097 loss)
I0306 03:41:27.166693  5521 solver.cpp:449] Iteration 13080, lr = 0.005
I0306 03:41:39.950089  5521 solver.cpp:188] Iteration 13120, loss = 2.32866
I0306 03:41:39.950212  5521 solver.cpp:203]     Train net output #0: loss = 2.32866 (* 1 = 2.32866 loss)
I0306 03:41:39.950232  5521 solver.cpp:449] Iteration 13120, lr = 0.005
I0306 03:41:52.728343  5521 solver.cpp:188] Iteration 13160, loss = 2.50184
I0306 03:41:52.728399  5521 solver.cpp:203]     Train net output #0: loss = 2.50184 (* 1 = 2.50184 loss)
I0306 03:41:52.728415  5521 solver.cpp:449] Iteration 13160, lr = 0.005
I0306 03:42:05.519728  5521 solver.cpp:188] Iteration 13200, loss = 2.53986
I0306 03:42:05.519783  5521 solver.cpp:203]     Train net output #0: loss = 2.53986 (* 1 = 2.53986 loss)
I0306 03:42:05.519798  5521 solver.cpp:449] Iteration 13200, lr = 0.005
I0306 03:42:18.303084  5521 solver.cpp:188] Iteration 13240, loss = 2.28439
I0306 03:42:18.303231  5521 solver.cpp:203]     Train net output #0: loss = 2.28439 (* 1 = 2.28439 loss)
I0306 03:42:18.303247  5521 solver.cpp:449] Iteration 13240, lr = 0.005
I0306 03:42:31.066690  5521 solver.cpp:188] Iteration 13280, loss = 2.44733
I0306 03:42:31.066748  5521 solver.cpp:203]     Train net output #0: loss = 2.44733 (* 1 = 2.44733 loss)
I0306 03:42:31.066763  5521 solver.cpp:449] Iteration 13280, lr = 0.005
I0306 03:42:43.832303  5521 solver.cpp:188] Iteration 13320, loss = 2.38453
I0306 03:42:43.832360  5521 solver.cpp:203]     Train net output #0: loss = 2.38453 (* 1 = 2.38453 loss)
I0306 03:42:43.832376  5521 solver.cpp:449] Iteration 13320, lr = 0.005
I0306 03:42:56.598335  5521 solver.cpp:188] Iteration 13360, loss = 2.48555
I0306 03:42:56.598423  5521 solver.cpp:203]     Train net output #0: loss = 2.48555 (* 1 = 2.48555 loss)
I0306 03:42:56.598439  5521 solver.cpp:449] Iteration 13360, lr = 0.005
I0306 03:43:09.369532  5521 solver.cpp:188] Iteration 13400, loss = 2.43168
I0306 03:43:09.369591  5521 solver.cpp:203]     Train net output #0: loss = 2.43168 (* 1 = 2.43168 loss)
I0306 03:43:09.369607  5521 solver.cpp:449] Iteration 13400, lr = 0.005
I0306 03:43:22.155113  5521 solver.cpp:188] Iteration 13440, loss = 2.34814
I0306 03:43:22.155167  5521 solver.cpp:203]     Train net output #0: loss = 2.34814 (* 1 = 2.34814 loss)
I0306 03:43:22.155182  5521 solver.cpp:449] Iteration 13440, lr = 0.005
I0306 03:43:34.919189  5521 solver.cpp:188] Iteration 13480, loss = 2.4464
I0306 03:43:34.919301  5521 solver.cpp:203]     Train net output #0: loss = 2.4464 (* 1 = 2.4464 loss)
I0306 03:43:34.919317  5521 solver.cpp:449] Iteration 13480, lr = 0.005
I0306 03:43:48.004860  5521 solver.cpp:188] Iteration 13520, loss = 2.3917
I0306 03:43:48.004922  5521 solver.cpp:203]     Train net output #0: loss = 2.3917 (* 1 = 2.3917 loss)
I0306 03:43:48.004938  5521 solver.cpp:449] Iteration 13520, lr = 0.005
I0306 03:44:00.757655  5521 solver.cpp:188] Iteration 13560, loss = 2.34647
I0306 03:44:00.757716  5521 solver.cpp:203]     Train net output #0: loss = 2.34647 (* 1 = 2.34647 loss)
I0306 03:44:00.757732  5521 solver.cpp:449] Iteration 13560, lr = 0.005
I0306 03:44:13.525594  5521 solver.cpp:188] Iteration 13600, loss = 2.29058
I0306 03:44:13.525710  5521 solver.cpp:203]     Train net output #0: loss = 2.29058 (* 1 = 2.29058 loss)
I0306 03:44:13.525727  5521 solver.cpp:449] Iteration 13600, lr = 0.005
I0306 03:44:26.273533  5521 solver.cpp:188] Iteration 13640, loss = 2.27072
I0306 03:44:26.273594  5521 solver.cpp:203]     Train net output #0: loss = 2.27072 (* 1 = 2.27072 loss)
I0306 03:44:26.273609  5521 solver.cpp:449] Iteration 13640, lr = 0.005
I0306 03:44:39.047507  5521 solver.cpp:188] Iteration 13680, loss = 2.25783
I0306 03:44:39.047569  5521 solver.cpp:203]     Train net output #0: loss = 2.25783 (* 1 = 2.25783 loss)
I0306 03:44:39.047585  5521 solver.cpp:449] Iteration 13680, lr = 0.005
I0306 03:44:51.822186  5521 solver.cpp:188] Iteration 13720, loss = 2.34714
I0306 03:44:51.822296  5521 solver.cpp:203]     Train net output #0: loss = 2.34714 (* 1 = 2.34714 loss)
I0306 03:44:51.822314  5521 solver.cpp:449] Iteration 13720, lr = 0.005
I0306 03:45:04.605973  5521 solver.cpp:188] Iteration 13760, loss = 2.27199
I0306 03:45:04.606040  5521 solver.cpp:203]     Train net output #0: loss = 2.27199 (* 1 = 2.27199 loss)
I0306 03:45:04.606056  5521 solver.cpp:449] Iteration 13760, lr = 0.005
I0306 03:45:17.379204  5521 solver.cpp:188] Iteration 13800, loss = 2.27767
I0306 03:45:17.379256  5521 solver.cpp:203]     Train net output #0: loss = 2.27767 (* 1 = 2.27767 loss)
I0306 03:45:17.379271  5521 solver.cpp:449] Iteration 13800, lr = 0.005
I0306 03:45:30.138223  5521 solver.cpp:188] Iteration 13840, loss = 2.23316
I0306 03:45:30.138363  5521 solver.cpp:203]     Train net output #0: loss = 2.23316 (* 1 = 2.23316 loss)
I0306 03:45:30.138382  5521 solver.cpp:449] Iteration 13840, lr = 0.005
I0306 03:45:42.909836  5521 solver.cpp:188] Iteration 13880, loss = 2.08852
I0306 03:45:42.909903  5521 solver.cpp:203]     Train net output #0: loss = 2.08852 (* 1 = 2.08852 loss)
I0306 03:45:42.909919  5521 solver.cpp:449] Iteration 13880, lr = 0.005
I0306 03:45:55.663563  5521 solver.cpp:188] Iteration 13920, loss = 2.27662
I0306 03:45:55.663619  5521 solver.cpp:203]     Train net output #0: loss = 2.27662 (* 1 = 2.27662 loss)
I0306 03:45:55.663633  5521 solver.cpp:449] Iteration 13920, lr = 0.005
I0306 03:46:08.436406  5521 solver.cpp:188] Iteration 13960, loss = 2.26668
I0306 03:46:08.436529  5521 solver.cpp:203]     Train net output #0: loss = 2.26668 (* 1 = 2.26668 loss)
I0306 03:46:08.436547  5521 solver.cpp:449] Iteration 13960, lr = 0.005
I0306 03:46:21.192719  5521 solver.cpp:188] Iteration 14000, loss = 2.49376
I0306 03:46:21.192777  5521 solver.cpp:203]     Train net output #0: loss = 2.49376 (* 1 = 2.49376 loss)
I0306 03:46:21.192791  5521 solver.cpp:449] Iteration 14000, lr = 0.005
I0306 03:46:33.946259  5521 solver.cpp:188] Iteration 14040, loss = 2.42982
I0306 03:46:33.946321  5521 solver.cpp:203]     Train net output #0: loss = 2.42982 (* 1 = 2.42982 loss)
I0306 03:46:33.946336  5521 solver.cpp:449] Iteration 14040, lr = 0.005
I0306 03:46:46.690244  5521 solver.cpp:188] Iteration 14080, loss = 2.03365
I0306 03:46:46.690346  5521 solver.cpp:203]     Train net output #0: loss = 2.03365 (* 1 = 2.03365 loss)
I0306 03:46:46.690363  5521 solver.cpp:449] Iteration 14080, lr = 0.005
I0306 03:46:59.460904  5521 solver.cpp:188] Iteration 14120, loss = 2.20497
I0306 03:46:59.460958  5521 solver.cpp:203]     Train net output #0: loss = 2.20497 (* 1 = 2.20497 loss)
I0306 03:46:59.460973  5521 solver.cpp:449] Iteration 14120, lr = 0.005
I0306 03:47:12.221395  5521 solver.cpp:188] Iteration 14160, loss = 2.37904
I0306 03:47:12.221451  5521 solver.cpp:203]     Train net output #0: loss = 2.37904 (* 1 = 2.37904 loss)
I0306 03:47:12.221465  5521 solver.cpp:449] Iteration 14160, lr = 0.005
I0306 03:47:24.976419  5521 solver.cpp:188] Iteration 14200, loss = 2.48818
I0306 03:47:24.976497  5521 solver.cpp:203]     Train net output #0: loss = 2.48818 (* 1 = 2.48818 loss)
I0306 03:47:24.976513  5521 solver.cpp:449] Iteration 14200, lr = 0.005
I0306 03:47:37.755681  5521 solver.cpp:188] Iteration 14240, loss = 2.27094
I0306 03:47:37.755735  5521 solver.cpp:203]     Train net output #0: loss = 2.27094 (* 1 = 2.27094 loss)
I0306 03:47:37.755751  5521 solver.cpp:449] Iteration 14240, lr = 0.005
I0306 03:47:50.523887  5521 solver.cpp:188] Iteration 14280, loss = 2.27532
I0306 03:47:50.523947  5521 solver.cpp:203]     Train net output #0: loss = 2.27532 (* 1 = 2.27532 loss)
I0306 03:47:50.523963  5521 solver.cpp:449] Iteration 14280, lr = 0.005
I0306 03:48:03.275321  5521 solver.cpp:188] Iteration 14320, loss = 2.12702
I0306 03:48:03.275423  5521 solver.cpp:203]     Train net output #0: loss = 2.12702 (* 1 = 2.12702 loss)
I0306 03:48:03.275439  5521 solver.cpp:449] Iteration 14320, lr = 0.005
I0306 03:48:16.019737  5521 solver.cpp:188] Iteration 14360, loss = 2.33936
I0306 03:48:16.019793  5521 solver.cpp:203]     Train net output #0: loss = 2.33936 (* 1 = 2.33936 loss)
I0306 03:48:16.019806  5521 solver.cpp:449] Iteration 14360, lr = 0.005
I0306 03:48:28.781194  5521 solver.cpp:188] Iteration 14400, loss = 2.21294
I0306 03:48:28.781256  5521 solver.cpp:203]     Train net output #0: loss = 2.21294 (* 1 = 2.21294 loss)
I0306 03:48:28.781276  5521 solver.cpp:449] Iteration 14400, lr = 0.005
I0306 03:48:41.530197  5521 solver.cpp:188] Iteration 14440, loss = 2.1558
I0306 03:48:41.530315  5521 solver.cpp:203]     Train net output #0: loss = 2.1558 (* 1 = 2.1558 loss)
I0306 03:48:41.530331  5521 solver.cpp:449] Iteration 14440, lr = 0.005
I0306 03:48:54.281847  5521 solver.cpp:188] Iteration 14480, loss = 2.2099
I0306 03:48:54.281904  5521 solver.cpp:203]     Train net output #0: loss = 2.2099 (* 1 = 2.2099 loss)
I0306 03:48:54.281920  5521 solver.cpp:449] Iteration 14480, lr = 0.005
I0306 03:49:07.046175  5521 solver.cpp:188] Iteration 14520, loss = 2.28984
I0306 03:49:07.046233  5521 solver.cpp:203]     Train net output #0: loss = 2.28984 (* 1 = 2.28984 loss)
I0306 03:49:07.046248  5521 solver.cpp:449] Iteration 14520, lr = 0.005
I0306 03:49:19.799279  5521 solver.cpp:188] Iteration 14560, loss = 2.2898
I0306 03:49:19.799437  5521 solver.cpp:203]     Train net output #0: loss = 2.2898 (* 1 = 2.2898 loss)
I0306 03:49:19.799453  5521 solver.cpp:449] Iteration 14560, lr = 0.005
I0306 03:49:32.580236  5521 solver.cpp:188] Iteration 14600, loss = 2.15105
I0306 03:49:32.580294  5521 solver.cpp:203]     Train net output #0: loss = 2.15105 (* 1 = 2.15105 loss)
I0306 03:49:32.580309  5521 solver.cpp:449] Iteration 14600, lr = 0.005
I0306 03:49:45.354238  5521 solver.cpp:188] Iteration 14640, loss = 2.3682
I0306 03:49:45.354297  5521 solver.cpp:203]     Train net output #0: loss = 2.3682 (* 1 = 2.3682 loss)
I0306 03:49:45.354312  5521 solver.cpp:449] Iteration 14640, lr = 0.005
I0306 03:49:58.120945  5521 solver.cpp:188] Iteration 14680, loss = 2.51215
I0306 03:49:58.121081  5521 solver.cpp:203]     Train net output #0: loss = 2.51215 (* 1 = 2.51215 loss)
I0306 03:49:58.121100  5521 solver.cpp:449] Iteration 14680, lr = 0.005
I0306 03:50:10.902009  5521 solver.cpp:188] Iteration 14720, loss = 2.18709
I0306 03:50:10.902067  5521 solver.cpp:203]     Train net output #0: loss = 2.18709 (* 1 = 2.18709 loss)
I0306 03:50:10.902082  5521 solver.cpp:449] Iteration 14720, lr = 0.005
I0306 03:50:23.676066  5521 solver.cpp:188] Iteration 14760, loss = 2.20225
I0306 03:50:23.676120  5521 solver.cpp:203]     Train net output #0: loss = 2.20225 (* 1 = 2.20225 loss)
I0306 03:50:23.676133  5521 solver.cpp:449] Iteration 14760, lr = 0.005
I0306 03:50:36.458771  5521 solver.cpp:188] Iteration 14800, loss = 2.37906
I0306 03:50:36.458900  5521 solver.cpp:203]     Train net output #0: loss = 2.37906 (* 1 = 2.37906 loss)
I0306 03:50:36.458919  5521 solver.cpp:449] Iteration 14800, lr = 0.005
I0306 03:50:49.218669  5521 solver.cpp:188] Iteration 14840, loss = 2.08601
I0306 03:50:49.218731  5521 solver.cpp:203]     Train net output #0: loss = 2.08601 (* 1 = 2.08601 loss)
I0306 03:50:49.218745  5521 solver.cpp:449] Iteration 14840, lr = 0.005
I0306 03:51:01.993367  5521 solver.cpp:188] Iteration 14880, loss = 1.97669
I0306 03:51:01.993437  5521 solver.cpp:203]     Train net output #0: loss = 1.97669 (* 1 = 1.97669 loss)
I0306 03:51:01.993454  5521 solver.cpp:449] Iteration 14880, lr = 0.005
I0306 03:51:14.753106  5521 solver.cpp:188] Iteration 14920, loss = 2.08798
I0306 03:51:14.753221  5521 solver.cpp:203]     Train net output #0: loss = 2.08798 (* 1 = 2.08798 loss)
I0306 03:51:14.753238  5521 solver.cpp:449] Iteration 14920, lr = 0.005
I0306 03:51:27.515024  5521 solver.cpp:188] Iteration 14960, loss = 2.17655
I0306 03:51:27.515084  5521 solver.cpp:203]     Train net output #0: loss = 2.17655 (* 1 = 2.17655 loss)
I0306 03:51:27.515097  5521 solver.cpp:449] Iteration 14960, lr = 0.005
I0306 03:51:40.597678  5521 solver.cpp:337] Snapshotting to cache/lsp/lsp_iter_15000.caffemodel
I0306 03:51:41.713539  5521 solver.cpp:345] Snapshotting solver state to cache/lsp/lsp_iter_15000.solverstate
I0306 03:51:42.424011  5521 solver.cpp:266] Iteration 15000, Testing net (#0)
I0306 03:51:59.151589  5521 solver.cpp:317]     Test net output #0: accuracy = 0.456058
I0306 03:51:59.151696  5521 solver.cpp:317]     Test net output #1: loss = 2.28887 (* 1 = 2.28887 loss)
I0306 03:51:59.246110  5521 solver.cpp:188] Iteration 15000, loss = 2.33942
I0306 03:51:59.246165  5521 solver.cpp:203]     Train net output #0: loss = 2.33942 (* 1 = 2.33942 loss)
I0306 03:51:59.246181  5521 solver.cpp:449] Iteration 15000, lr = 0.005
I0306 03:52:11.698266  5521 solver.cpp:188] Iteration 15040, loss = 2.16255
I0306 03:52:11.698325  5521 solver.cpp:203]     Train net output #0: loss = 2.16255 (* 1 = 2.16255 loss)
I0306 03:52:11.698340  5521 solver.cpp:449] Iteration 15040, lr = 0.005
I0306 03:52:24.800181  5521 solver.cpp:188] Iteration 15080, loss = 2.22067
I0306 03:52:24.800246  5521 solver.cpp:203]     Train net output #0: loss = 2.22067 (* 1 = 2.22067 loss)
I0306 03:52:24.800261  5521 solver.cpp:449] Iteration 15080, lr = 0.005
I0306 03:52:37.512303  5521 solver.cpp:188] Iteration 15120, loss = 2.33062
I0306 03:52:37.512451  5521 solver.cpp:203]     Train net output #0: loss = 2.33062 (* 1 = 2.33062 loss)
I0306 03:52:37.512470  5521 solver.cpp:449] Iteration 15120, lr = 0.005
I0306 03:52:50.122717  5521 solver.cpp:188] Iteration 15160, loss = 2.2119
I0306 03:52:50.122777  5521 solver.cpp:203]     Train net output #0: loss = 2.2119 (* 1 = 2.2119 loss)
I0306 03:52:50.122792  5521 solver.cpp:449] Iteration 15160, lr = 0.005
I0306 03:53:02.946163  5521 solver.cpp:188] Iteration 15200, loss = 2.52845
I0306 03:53:02.946226  5521 solver.cpp:203]     Train net output #0: loss = 2.52845 (* 1 = 2.52845 loss)
I0306 03:53:02.946243  5521 solver.cpp:449] Iteration 15200, lr = 0.005
I0306 03:53:15.840884  5521 solver.cpp:188] Iteration 15240, loss = 2.15123
I0306 03:53:15.841006  5521 solver.cpp:203]     Train net output #0: loss = 2.15123 (* 1 = 2.15123 loss)
I0306 03:53:15.841022  5521 solver.cpp:449] Iteration 15240, lr = 0.005
I0306 03:53:28.734419  5521 solver.cpp:188] Iteration 15280, loss = 2.22671
I0306 03:53:28.734479  5521 solver.cpp:203]     Train net output #0: loss = 2.22671 (* 1 = 2.22671 loss)
I0306 03:53:28.734494  5521 solver.cpp:449] Iteration 15280, lr = 0.005
I0306 03:53:41.714352  5521 solver.cpp:188] Iteration 15320, loss = 2.29256
I0306 03:53:41.714414  5521 solver.cpp:203]     Train net output #0: loss = 2.29256 (* 1 = 2.29256 loss)
I0306 03:53:41.714431  5521 solver.cpp:449] Iteration 15320, lr = 0.005
I0306 03:53:54.673699  5521 solver.cpp:188] Iteration 15360, loss = 2.09112
I0306 03:53:54.673820  5521 solver.cpp:203]     Train net output #0: loss = 2.09112 (* 1 = 2.09112 loss)
I0306 03:53:54.673838  5521 solver.cpp:449] Iteration 15360, lr = 0.005
I0306 03:54:07.582051  5521 solver.cpp:188] Iteration 15400, loss = 2.15182
I0306 03:54:07.582110  5521 solver.cpp:203]     Train net output #0: loss = 2.15182 (* 1 = 2.15182 loss)
I0306 03:54:07.582126  5521 solver.cpp:449] Iteration 15400, lr = 0.005
I0306 03:54:20.433490  5521 solver.cpp:188] Iteration 15440, loss = 2.21942
I0306 03:54:20.433550  5521 solver.cpp:203]     Train net output #0: loss = 2.21942 (* 1 = 2.21942 loss)
I0306 03:54:20.433565  5521 solver.cpp:449] Iteration 15440, lr = 0.005
I0306 03:54:33.049021  5521 solver.cpp:188] Iteration 15480, loss = 2.21971
I0306 03:54:33.049134  5521 solver.cpp:203]     Train net output #0: loss = 2.21971 (* 1 = 2.21971 loss)
I0306 03:54:33.049149  5521 solver.cpp:449] Iteration 15480, lr = 0.005
I0306 03:54:45.671668  5521 solver.cpp:188] Iteration 15520, loss = 2.1862
I0306 03:54:45.671743  5521 solver.cpp:203]     Train net output #0: loss = 2.1862 (* 1 = 2.1862 loss)
I0306 03:54:45.671761  5521 solver.cpp:449] Iteration 15520, lr = 0.005
I0306 03:54:58.504876  5521 solver.cpp:188] Iteration 15560, loss = 2.07228
I0306 03:54:58.504938  5521 solver.cpp:203]     Train net output #0: loss = 2.07228 (* 1 = 2.07228 loss)
I0306 03:54:58.504955  5521 solver.cpp:449] Iteration 15560, lr = 0.005
I0306 03:55:11.405666  5521 solver.cpp:188] Iteration 15600, loss = 2.21352
I0306 03:55:11.405786  5521 solver.cpp:203]     Train net output #0: loss = 2.21352 (* 1 = 2.21352 loss)
I0306 03:55:11.405802  5521 solver.cpp:449] Iteration 15600, lr = 0.005
I0306 03:55:24.309367  5521 solver.cpp:188] Iteration 15640, loss = 2.23326
I0306 03:55:24.309427  5521 solver.cpp:203]     Train net output #0: loss = 2.23326 (* 1 = 2.23326 loss)
I0306 03:55:24.309442  5521 solver.cpp:449] Iteration 15640, lr = 0.005
I0306 03:55:37.196013  5521 solver.cpp:188] Iteration 15680, loss = 2.31687
I0306 03:55:37.196070  5521 solver.cpp:203]     Train net output #0: loss = 2.31687 (* 1 = 2.31687 loss)
I0306 03:55:37.196085  5521 solver.cpp:449] Iteration 15680, lr = 0.005
I0306 03:55:50.097079  5521 solver.cpp:188] Iteration 15720, loss = 2.15565
I0306 03:55:50.097229  5521 solver.cpp:203]     Train net output #0: loss = 2.15565 (* 1 = 2.15565 loss)
I0306 03:55:50.097246  5521 solver.cpp:449] Iteration 15720, lr = 0.005
I0306 03:56:02.994988  5521 solver.cpp:188] Iteration 15760, loss = 2.29887
I0306 03:56:02.995049  5521 solver.cpp:203]     Train net output #0: loss = 2.29887 (* 1 = 2.29887 loss)
I0306 03:56:02.995064  5521 solver.cpp:449] Iteration 15760, lr = 0.005
I0306 03:56:15.793184  5521 solver.cpp:188] Iteration 15800, loss = 2.24424
I0306 03:56:15.793242  5521 solver.cpp:203]     Train net output #0: loss = 2.24424 (* 1 = 2.24424 loss)
I0306 03:56:15.793258  5521 solver.cpp:449] Iteration 15800, lr = 0.005
I0306 03:56:28.552922  5521 solver.cpp:188] Iteration 15840, loss = 2.18517
I0306 03:56:28.553043  5521 solver.cpp:203]     Train net output #0: loss = 2.18517 (* 1 = 2.18517 loss)
I0306 03:56:28.553061  5521 solver.cpp:449] Iteration 15840, lr = 0.005
I0306 03:56:41.307590  5521 solver.cpp:188] Iteration 15880, loss = 2.07386
I0306 03:56:41.307648  5521 solver.cpp:203]     Train net output #0: loss = 2.07386 (* 1 = 2.07386 loss)
I0306 03:56:41.307664  5521 solver.cpp:449] Iteration 15880, lr = 0.005
I0306 03:56:54.082901  5521 solver.cpp:188] Iteration 15920, loss = 2.17691
I0306 03:56:54.082973  5521 solver.cpp:203]     Train net output #0: loss = 2.17691 (* 1 = 2.17691 loss)
I0306 03:56:54.082998  5521 solver.cpp:449] Iteration 15920, lr = 0.005
I0306 03:57:06.854184  5521 solver.cpp:188] Iteration 15960, loss = 2.22154
I0306 03:57:06.854298  5521 solver.cpp:203]     Train net output #0: loss = 2.22154 (* 1 = 2.22154 loss)
I0306 03:57:06.854315  5521 solver.cpp:449] Iteration 15960, lr = 0.005
I0306 03:57:19.615149  5521 solver.cpp:188] Iteration 16000, loss = 2.23512
I0306 03:57:19.615207  5521 solver.cpp:203]     Train net output #0: loss = 2.23512 (* 1 = 2.23512 loss)
I0306 03:57:19.615223  5521 solver.cpp:449] Iteration 16000, lr = 0.005
I0306 03:57:32.394976  5521 solver.cpp:188] Iteration 16040, loss = 2.28125
I0306 03:57:32.395035  5521 solver.cpp:203]     Train net output #0: loss = 2.28125 (* 1 = 2.28125 loss)
I0306 03:57:32.395051  5521 solver.cpp:449] Iteration 16040, lr = 0.005
I0306 03:57:45.249516  5521 solver.cpp:188] Iteration 16080, loss = 2.20582
I0306 03:57:45.249624  5521 solver.cpp:203]     Train net output #0: loss = 2.20582 (* 1 = 2.20582 loss)
I0306 03:57:45.249640  5521 solver.cpp:449] Iteration 16080, lr = 0.005
I0306 03:57:58.001832  5521 solver.cpp:188] Iteration 16120, loss = 2.03374
I0306 03:57:58.001895  5521 solver.cpp:203]     Train net output #0: loss = 2.03374 (* 1 = 2.03374 loss)
I0306 03:57:58.001912  5521 solver.cpp:449] Iteration 16120, lr = 0.005
I0306 03:58:10.762640  5521 solver.cpp:188] Iteration 16160, loss = 2.17134
I0306 03:58:10.762701  5521 solver.cpp:203]     Train net output #0: loss = 2.17134 (* 1 = 2.17134 loss)
I0306 03:58:10.762717  5521 solver.cpp:449] Iteration 16160, lr = 0.005
I0306 03:58:23.527343  5521 solver.cpp:188] Iteration 16200, loss = 2.36768
I0306 03:58:23.527438  5521 solver.cpp:203]     Train net output #0: loss = 2.36768 (* 1 = 2.36768 loss)
I0306 03:58:23.527456  5521 solver.cpp:449] Iteration 16200, lr = 0.005
I0306 03:58:36.311888  5521 solver.cpp:188] Iteration 16240, loss = 2.33575
I0306 03:58:36.311951  5521 solver.cpp:203]     Train net output #0: loss = 2.33575 (* 1 = 2.33575 loss)
I0306 03:58:36.311969  5521 solver.cpp:449] Iteration 16240, lr = 0.005
I0306 03:58:49.085633  5521 solver.cpp:188] Iteration 16280, loss = 2.21216
I0306 03:58:49.085685  5521 solver.cpp:203]     Train net output #0: loss = 2.21216 (* 1 = 2.21216 loss)
I0306 03:58:49.085700  5521 solver.cpp:449] Iteration 16280, lr = 0.005
I0306 03:59:01.975463  5521 solver.cpp:188] Iteration 16320, loss = 2.07289
I0306 03:59:01.975623  5521 solver.cpp:203]     Train net output #0: loss = 2.07289 (* 1 = 2.07289 loss)
I0306 03:59:01.975641  5521 solver.cpp:449] Iteration 16320, lr = 0.005
I0306 03:59:14.746561  5521 solver.cpp:188] Iteration 16360, loss = 2.16239
I0306 03:59:14.746618  5521 solver.cpp:203]     Train net output #0: loss = 2.16239 (* 1 = 2.16239 loss)
I0306 03:59:14.746634  5521 solver.cpp:449] Iteration 16360, lr = 0.005
I0306 03:59:27.518261  5521 solver.cpp:188] Iteration 16400, loss = 2.26122
I0306 03:59:27.518316  5521 solver.cpp:203]     Train net output #0: loss = 2.26122 (* 1 = 2.26122 loss)
I0306 03:59:27.518331  5521 solver.cpp:449] Iteration 16400, lr = 0.005
I0306 03:59:40.318496  5521 solver.cpp:188] Iteration 16440, loss = 2.0016
I0306 03:59:40.318610  5521 solver.cpp:203]     Train net output #0: loss = 2.0016 (* 1 = 2.0016 loss)
I0306 03:59:40.318627  5521 solver.cpp:449] Iteration 16440, lr = 0.005
I0306 03:59:53.094799  5521 solver.cpp:188] Iteration 16480, loss = 2.10661
I0306 03:59:53.094852  5521 solver.cpp:203]     Train net output #0: loss = 2.10661 (* 1 = 2.10661 loss)
I0306 03:59:53.094866  5521 solver.cpp:449] Iteration 16480, lr = 0.005
I0306 04:00:05.871732  5521 solver.cpp:188] Iteration 16520, loss = 2.29795
I0306 04:00:05.871788  5521 solver.cpp:203]     Train net output #0: loss = 2.29795 (* 1 = 2.29795 loss)
I0306 04:00:05.871803  5521 solver.cpp:449] Iteration 16520, lr = 0.005
I0306 04:00:18.640673  5521 solver.cpp:188] Iteration 16560, loss = 2.2253
I0306 04:00:18.640774  5521 solver.cpp:203]     Train net output #0: loss = 2.2253 (* 1 = 2.2253 loss)
I0306 04:00:18.640790  5521 solver.cpp:449] Iteration 16560, lr = 0.005
I0306 04:00:31.412122  5521 solver.cpp:188] Iteration 16600, loss = 2.09851
I0306 04:00:31.412180  5521 solver.cpp:203]     Train net output #0: loss = 2.09851 (* 1 = 2.09851 loss)
I0306 04:00:31.412195  5521 solver.cpp:449] Iteration 16600, lr = 0.005
I0306 04:00:44.183004  5521 solver.cpp:188] Iteration 16640, loss = 2.07269
I0306 04:00:44.183063  5521 solver.cpp:203]     Train net output #0: loss = 2.07269 (* 1 = 2.07269 loss)
I0306 04:00:44.183079  5521 solver.cpp:449] Iteration 16640, lr = 0.005
I0306 04:00:56.928509  5521 solver.cpp:188] Iteration 16680, loss = 2.40476
I0306 04:00:56.928621  5521 solver.cpp:203]     Train net output #0: loss = 2.40476 (* 1 = 2.40476 loss)
I0306 04:00:56.928637  5521 solver.cpp:449] Iteration 16680, lr = 0.005
I0306 04:01:09.670263  5521 solver.cpp:188] Iteration 16720, loss = 2.03234
I0306 04:01:09.670320  5521 solver.cpp:203]     Train net output #0: loss = 2.03234 (* 1 = 2.03234 loss)
I0306 04:01:09.670333  5521 solver.cpp:449] Iteration 16720, lr = 0.005
I0306 04:01:22.419013  5521 solver.cpp:188] Iteration 16760, loss = 2.08152
I0306 04:01:22.419070  5521 solver.cpp:203]     Train net output #0: loss = 2.08152 (* 1 = 2.08152 loss)
I0306 04:01:22.419086  5521 solver.cpp:449] Iteration 16760, lr = 0.005
I0306 04:01:35.148989  5521 solver.cpp:188] Iteration 16800, loss = 2.10376
I0306 04:01:35.149106  5521 solver.cpp:203]     Train net output #0: loss = 2.10376 (* 1 = 2.10376 loss)
I0306 04:01:35.149122  5521 solver.cpp:449] Iteration 16800, lr = 0.005
I0306 04:01:47.906986  5521 solver.cpp:188] Iteration 16840, loss = 1.91797
I0306 04:01:47.907039  5521 solver.cpp:203]     Train net output #0: loss = 1.91797 (* 1 = 1.91797 loss)
I0306 04:01:47.907053  5521 solver.cpp:449] Iteration 16840, lr = 0.005
I0306 04:02:00.669322  5521 solver.cpp:188] Iteration 16880, loss = 2.07328
I0306 04:02:00.669387  5521 solver.cpp:203]     Train net output #0: loss = 2.07328 (* 1 = 2.07328 loss)
I0306 04:02:00.669402  5521 solver.cpp:449] Iteration 16880, lr = 0.005
I0306 04:02:13.436803  5521 solver.cpp:188] Iteration 16920, loss = 2.22016
I0306 04:02:13.436913  5521 solver.cpp:203]     Train net output #0: loss = 2.22016 (* 1 = 2.22016 loss)
I0306 04:02:13.436928  5521 solver.cpp:449] Iteration 16920, lr = 0.005
I0306 04:02:26.208459  5521 solver.cpp:188] Iteration 16960, loss = 2.06485
I0306 04:02:26.208511  5521 solver.cpp:203]     Train net output #0: loss = 2.06485 (* 1 = 2.06485 loss)
I0306 04:02:26.208526  5521 solver.cpp:449] Iteration 16960, lr = 0.005
I0306 04:02:38.967728  5521 solver.cpp:188] Iteration 17000, loss = 2.09797
I0306 04:02:38.967787  5521 solver.cpp:203]     Train net output #0: loss = 2.09797 (* 1 = 2.09797 loss)
I0306 04:02:38.967803  5521 solver.cpp:449] Iteration 17000, lr = 0.005
I0306 04:02:51.728147  5521 solver.cpp:188] Iteration 17040, loss = 2.10687
I0306 04:02:51.728305  5521 solver.cpp:203]     Train net output #0: loss = 2.10687 (* 1 = 2.10687 loss)
I0306 04:02:51.728323  5521 solver.cpp:449] Iteration 17040, lr = 0.005
I0306 04:03:04.471829  5521 solver.cpp:188] Iteration 17080, loss = 2.03205
I0306 04:03:04.471891  5521 solver.cpp:203]     Train net output #0: loss = 2.03205 (* 1 = 2.03205 loss)
I0306 04:03:04.471909  5521 solver.cpp:449] Iteration 17080, lr = 0.005
I0306 04:03:17.229346  5521 solver.cpp:188] Iteration 17120, loss = 2.07709
I0306 04:03:17.229405  5521 solver.cpp:203]     Train net output #0: loss = 2.07709 (* 1 = 2.07709 loss)
I0306 04:03:17.229420  5521 solver.cpp:449] Iteration 17120, lr = 0.005
I0306 04:03:29.995918  5521 solver.cpp:188] Iteration 17160, loss = 2.20924
I0306 04:03:29.996037  5521 solver.cpp:203]     Train net output #0: loss = 2.20924 (* 1 = 2.20924 loss)
I0306 04:03:29.996057  5521 solver.cpp:449] Iteration 17160, lr = 0.005
I0306 04:03:42.785042  5521 solver.cpp:188] Iteration 17200, loss = 2.0622
I0306 04:03:42.785104  5521 solver.cpp:203]     Train net output #0: loss = 2.0622 (* 1 = 2.0622 loss)
I0306 04:03:42.785120  5521 solver.cpp:449] Iteration 17200, lr = 0.005
I0306 04:03:55.612488  5521 solver.cpp:188] Iteration 17240, loss = 2.12343
I0306 04:03:55.612542  5521 solver.cpp:203]     Train net output #0: loss = 2.12343 (* 1 = 2.12343 loss)
I0306 04:03:55.612557  5521 solver.cpp:449] Iteration 17240, lr = 0.005
I0306 04:04:08.364552  5521 solver.cpp:188] Iteration 17280, loss = 2.15018
I0306 04:04:08.364657  5521 solver.cpp:203]     Train net output #0: loss = 2.15018 (* 1 = 2.15018 loss)
I0306 04:04:08.364673  5521 solver.cpp:449] Iteration 17280, lr = 0.005
I0306 04:04:21.106490  5521 solver.cpp:188] Iteration 17320, loss = 2.12898
I0306 04:04:21.106549  5521 solver.cpp:203]     Train net output #0: loss = 2.12898 (* 1 = 2.12898 loss)
I0306 04:04:21.106564  5521 solver.cpp:449] Iteration 17320, lr = 0.005
I0306 04:04:33.715860  5521 solver.cpp:188] Iteration 17360, loss = 2.13086
I0306 04:04:33.715917  5521 solver.cpp:203]     Train net output #0: loss = 2.13086 (* 1 = 2.13086 loss)
I0306 04:04:33.715932  5521 solver.cpp:449] Iteration 17360, lr = 0.005
I0306 04:04:46.368173  5521 solver.cpp:188] Iteration 17400, loss = 2.09907
I0306 04:04:46.368294  5521 solver.cpp:203]     Train net output #0: loss = 2.09907 (* 1 = 2.09907 loss)
I0306 04:04:46.368312  5521 solver.cpp:449] Iteration 17400, lr = 0.005
I0306 04:04:59.122635  5521 solver.cpp:188] Iteration 17440, loss = 2.09672
I0306 04:04:59.122695  5521 solver.cpp:203]     Train net output #0: loss = 2.09672 (* 1 = 2.09672 loss)
I0306 04:04:59.122711  5521 solver.cpp:449] Iteration 17440, lr = 0.005
I0306 04:05:11.890557  5521 solver.cpp:188] Iteration 17480, loss = 2.04125
I0306 04:05:11.890615  5521 solver.cpp:203]     Train net output #0: loss = 2.04125 (* 1 = 2.04125 loss)
I0306 04:05:11.890631  5521 solver.cpp:449] Iteration 17480, lr = 0.005
I0306 04:05:24.658015  5521 solver.cpp:188] Iteration 17520, loss = 2.19462
I0306 04:05:24.658126  5521 solver.cpp:203]     Train net output #0: loss = 2.19462 (* 1 = 2.19462 loss)
I0306 04:05:24.658143  5521 solver.cpp:449] Iteration 17520, lr = 0.005
I0306 04:05:38.021508  5521 solver.cpp:188] Iteration 17560, loss = 2.04541
I0306 04:05:38.021571  5521 solver.cpp:203]     Train net output #0: loss = 2.04541 (* 1 = 2.04541 loss)
I0306 04:05:38.021587  5521 solver.cpp:449] Iteration 17560, lr = 0.005
I0306 04:05:50.891222  5521 solver.cpp:188] Iteration 17600, loss = 1.99128
I0306 04:05:50.891273  5521 solver.cpp:203]     Train net output #0: loss = 1.99128 (* 1 = 1.99128 loss)
I0306 04:05:50.891288  5521 solver.cpp:449] Iteration 17600, lr = 0.005
I0306 04:06:03.803426  5521 solver.cpp:188] Iteration 17640, loss = 2.01103
I0306 04:06:03.803546  5521 solver.cpp:203]     Train net output #0: loss = 2.01103 (* 1 = 2.01103 loss)
I0306 04:06:03.803563  5521 solver.cpp:449] Iteration 17640, lr = 0.005
I0306 04:06:16.711478  5521 solver.cpp:188] Iteration 17680, loss = 2.04952
I0306 04:06:16.711542  5521 solver.cpp:203]     Train net output #0: loss = 2.04952 (* 1 = 2.04952 loss)
I0306 04:06:16.711558  5521 solver.cpp:449] Iteration 17680, lr = 0.005
I0306 04:06:29.612380  5521 solver.cpp:188] Iteration 17720, loss = 2.08949
I0306 04:06:29.612432  5521 solver.cpp:203]     Train net output #0: loss = 2.08949 (* 1 = 2.08949 loss)
I0306 04:06:29.612447  5521 solver.cpp:449] Iteration 17720, lr = 0.005
I0306 04:06:42.515020  5521 solver.cpp:188] Iteration 17760, loss = 1.94568
I0306 04:06:42.515141  5521 solver.cpp:203]     Train net output #0: loss = 1.94568 (* 1 = 1.94568 loss)
I0306 04:06:42.515159  5521 solver.cpp:449] Iteration 17760, lr = 0.005
I0306 04:06:55.393919  5521 solver.cpp:188] Iteration 17800, loss = 2.06895
I0306 04:06:55.393975  5521 solver.cpp:203]     Train net output #0: loss = 2.06895 (* 1 = 2.06895 loss)
I0306 04:06:55.393990  5521 solver.cpp:449] Iteration 17800, lr = 0.005
I0306 04:07:08.036525  5521 solver.cpp:188] Iteration 17840, loss = 2.1905
I0306 04:07:08.036578  5521 solver.cpp:203]     Train net output #0: loss = 2.1905 (* 1 = 2.1905 loss)
I0306 04:07:08.036592  5521 solver.cpp:449] Iteration 17840, lr = 0.005
I0306 04:07:20.657388  5521 solver.cpp:188] Iteration 17880, loss = 2.09488
I0306 04:07:20.657493  5521 solver.cpp:203]     Train net output #0: loss = 2.09488 (* 1 = 2.09488 loss)
I0306 04:07:20.657516  5521 solver.cpp:449] Iteration 17880, lr = 0.005
I0306 04:07:33.519023  5521 solver.cpp:188] Iteration 17920, loss = 2.07146
I0306 04:07:33.519078  5521 solver.cpp:203]     Train net output #0: loss = 2.07146 (* 1 = 2.07146 loss)
I0306 04:07:33.519093  5521 solver.cpp:449] Iteration 17920, lr = 0.005
I0306 04:07:46.438668  5521 solver.cpp:188] Iteration 17960, loss = 2.03118
I0306 04:07:46.438731  5521 solver.cpp:203]     Train net output #0: loss = 2.03118 (* 1 = 2.03118 loss)
I0306 04:07:46.438745  5521 solver.cpp:449] Iteration 17960, lr = 0.005
I0306 04:07:59.340625  5521 solver.cpp:188] Iteration 18000, loss = 2.05687
I0306 04:07:59.340749  5521 solver.cpp:203]     Train net output #0: loss = 2.05687 (* 1 = 2.05687 loss)
I0306 04:07:59.340766  5521 solver.cpp:449] Iteration 18000, lr = 0.005
I0306 04:08:12.159361  5521 solver.cpp:188] Iteration 18040, loss = 2.03805
I0306 04:08:12.159416  5521 solver.cpp:203]     Train net output #0: loss = 2.03805 (* 1 = 2.03805 loss)
I0306 04:08:12.159431  5521 solver.cpp:449] Iteration 18040, lr = 0.005
I0306 04:08:24.915377  5521 solver.cpp:188] Iteration 18080, loss = 1.97791
I0306 04:08:24.915431  5521 solver.cpp:203]     Train net output #0: loss = 1.97791 (* 1 = 1.97791 loss)
I0306 04:08:24.915446  5521 solver.cpp:449] Iteration 18080, lr = 0.005
I0306 04:08:37.656144  5521 solver.cpp:188] Iteration 18120, loss = 1.98349
I0306 04:08:37.656255  5521 solver.cpp:203]     Train net output #0: loss = 1.98349 (* 1 = 1.98349 loss)
I0306 04:08:37.656272  5521 solver.cpp:449] Iteration 18120, lr = 0.005
I0306 04:08:50.408107  5521 solver.cpp:188] Iteration 18160, loss = 2.13842
I0306 04:08:50.408167  5521 solver.cpp:203]     Train net output #0: loss = 2.13842 (* 1 = 2.13842 loss)
I0306 04:08:50.408181  5521 solver.cpp:449] Iteration 18160, lr = 0.005
I0306 04:09:03.162149  5521 solver.cpp:188] Iteration 18200, loss = 2.0748
I0306 04:09:03.162205  5521 solver.cpp:203]     Train net output #0: loss = 2.0748 (* 1 = 2.0748 loss)
I0306 04:09:03.162220  5521 solver.cpp:449] Iteration 18200, lr = 0.005
I0306 04:09:15.929314  5521 solver.cpp:188] Iteration 18240, loss = 1.86866
I0306 04:09:15.929426  5521 solver.cpp:203]     Train net output #0: loss = 1.86866 (* 1 = 1.86866 loss)
I0306 04:09:15.929442  5521 solver.cpp:449] Iteration 18240, lr = 0.005
I0306 04:09:28.681671  5521 solver.cpp:188] Iteration 18280, loss = 2.082
I0306 04:09:28.681726  5521 solver.cpp:203]     Train net output #0: loss = 2.082 (* 1 = 2.082 loss)
I0306 04:09:28.681740  5521 solver.cpp:449] Iteration 18280, lr = 0.005
I0306 04:09:41.448930  5521 solver.cpp:188] Iteration 18320, loss = 1.84086
I0306 04:09:41.448989  5521 solver.cpp:203]     Train net output #0: loss = 1.84086 (* 1 = 1.84086 loss)
I0306 04:09:41.449007  5521 solver.cpp:449] Iteration 18320, lr = 0.005
I0306 04:09:54.215647  5521 solver.cpp:188] Iteration 18360, loss = 2.25403
I0306 04:09:54.215790  5521 solver.cpp:203]     Train net output #0: loss = 2.25403 (* 1 = 2.25403 loss)
I0306 04:09:54.215807  5521 solver.cpp:449] Iteration 18360, lr = 0.005
I0306 04:10:06.986565  5521 solver.cpp:188] Iteration 18400, loss = 2.05145
I0306 04:10:06.986625  5521 solver.cpp:203]     Train net output #0: loss = 2.05145 (* 1 = 2.05145 loss)
I0306 04:10:06.986640  5521 solver.cpp:449] Iteration 18400, lr = 0.005
I0306 04:10:19.745046  5521 solver.cpp:188] Iteration 18440, loss = 2.11806
I0306 04:10:19.745100  5521 solver.cpp:203]     Train net output #0: loss = 2.11806 (* 1 = 2.11806 loss)
I0306 04:10:19.745115  5521 solver.cpp:449] Iteration 18440, lr = 0.005
I0306 04:10:32.516180  5521 solver.cpp:188] Iteration 18480, loss = 2.08447
I0306 04:10:32.516294  5521 solver.cpp:203]     Train net output #0: loss = 2.08447 (* 1 = 2.08447 loss)
I0306 04:10:32.516310  5521 solver.cpp:449] Iteration 18480, lr = 0.005
I0306 04:10:45.270273  5521 solver.cpp:188] Iteration 18520, loss = 2.04123
I0306 04:10:45.270340  5521 solver.cpp:203]     Train net output #0: loss = 2.04123 (* 1 = 2.04123 loss)
I0306 04:10:45.270356  5521 solver.cpp:449] Iteration 18520, lr = 0.005
I0306 04:10:58.036839  5521 solver.cpp:188] Iteration 18560, loss = 2.03371
I0306 04:10:58.036892  5521 solver.cpp:203]     Train net output #0: loss = 2.03371 (* 1 = 2.03371 loss)
I0306 04:10:58.036907  5521 solver.cpp:449] Iteration 18560, lr = 0.005
I0306 04:11:10.789834  5521 solver.cpp:188] Iteration 18600, loss = 1.97685
I0306 04:11:10.789968  5521 solver.cpp:203]     Train net output #0: loss = 1.97685 (* 1 = 1.97685 loss)
I0306 04:11:10.789984  5521 solver.cpp:449] Iteration 18600, lr = 0.005
I0306 04:11:23.544136  5521 solver.cpp:188] Iteration 18640, loss = 2.13297
I0306 04:11:23.544194  5521 solver.cpp:203]     Train net output #0: loss = 2.13297 (* 1 = 2.13297 loss)
I0306 04:11:23.544209  5521 solver.cpp:449] Iteration 18640, lr = 0.005
I0306 04:11:36.364442  5521 solver.cpp:188] Iteration 18680, loss = 1.85618
I0306 04:11:36.364497  5521 solver.cpp:203]     Train net output #0: loss = 1.85618 (* 1 = 1.85618 loss)
I0306 04:11:36.364513  5521 solver.cpp:449] Iteration 18680, lr = 0.005
I0306 04:11:49.269259  5521 solver.cpp:188] Iteration 18720, loss = 1.98669
I0306 04:11:49.269366  5521 solver.cpp:203]     Train net output #0: loss = 1.98669 (* 1 = 1.98669 loss)
I0306 04:11:49.269382  5521 solver.cpp:449] Iteration 18720, lr = 0.005
I0306 04:12:02.155769  5521 solver.cpp:188] Iteration 18760, loss = 1.80094
I0306 04:12:02.155827  5521 solver.cpp:203]     Train net output #0: loss = 1.80094 (* 1 = 1.80094 loss)
I0306 04:12:02.155848  5521 solver.cpp:449] Iteration 18760, lr = 0.005
I0306 04:12:15.040380  5521 solver.cpp:188] Iteration 18800, loss = 1.99461
I0306 04:12:15.040437  5521 solver.cpp:203]     Train net output #0: loss = 1.99461 (* 1 = 1.99461 loss)
I0306 04:12:15.040453  5521 solver.cpp:449] Iteration 18800, lr = 0.005
I0306 04:12:27.927948  5521 solver.cpp:188] Iteration 18840, loss = 1.91581
I0306 04:12:27.928035  5521 solver.cpp:203]     Train net output #0: loss = 1.91581 (* 1 = 1.91581 loss)
I0306 04:12:27.928051  5521 solver.cpp:449] Iteration 18840, lr = 0.005
I0306 04:12:40.821071  5521 solver.cpp:188] Iteration 18880, loss = 2.03967
I0306 04:12:40.821130  5521 solver.cpp:203]     Train net output #0: loss = 2.03967 (* 1 = 2.03967 loss)
I0306 04:12:40.821143  5521 solver.cpp:449] Iteration 18880, lr = 0.005
I0306 04:12:53.723985  5521 solver.cpp:188] Iteration 18920, loss = 2.04756
I0306 04:12:53.724047  5521 solver.cpp:203]     Train net output #0: loss = 2.04756 (* 1 = 2.04756 loss)
I0306 04:12:53.724064  5521 solver.cpp:449] Iteration 18920, lr = 0.005
I0306 04:13:06.621042  5521 solver.cpp:188] Iteration 18960, loss = 1.83688
I0306 04:13:06.621183  5521 solver.cpp:203]     Train net output #0: loss = 1.83688 (* 1 = 1.83688 loss)
I0306 04:13:06.621201  5521 solver.cpp:449] Iteration 18960, lr = 0.005
I0306 04:13:19.507429  5521 solver.cpp:188] Iteration 19000, loss = 1.97595
I0306 04:13:19.507486  5521 solver.cpp:203]     Train net output #0: loss = 1.97595 (* 1 = 1.97595 loss)
I0306 04:13:19.507503  5521 solver.cpp:449] Iteration 19000, lr = 0.005
I0306 04:13:32.400382  5521 solver.cpp:188] Iteration 19040, loss = 1.93339
I0306 04:13:32.400435  5521 solver.cpp:203]     Train net output #0: loss = 1.93339 (* 1 = 1.93339 loss)
I0306 04:13:32.400449  5521 solver.cpp:449] Iteration 19040, lr = 0.005
I0306 04:13:45.334362  5521 solver.cpp:188] Iteration 19080, loss = 1.94376
I0306 04:13:45.334478  5521 solver.cpp:203]     Train net output #0: loss = 1.94376 (* 1 = 1.94376 loss)
I0306 04:13:45.334496  5521 solver.cpp:449] Iteration 19080, lr = 0.005
I0306 04:13:58.241575  5521 solver.cpp:188] Iteration 19120, loss = 2.03026
I0306 04:13:58.241634  5521 solver.cpp:203]     Train net output #0: loss = 2.03026 (* 1 = 2.03026 loss)
I0306 04:13:58.241649  5521 solver.cpp:449] Iteration 19120, lr = 0.005
I0306 04:14:11.144297  5521 solver.cpp:188] Iteration 19160, loss = 1.92924
I0306 04:14:11.144353  5521 solver.cpp:203]     Train net output #0: loss = 1.92924 (* 1 = 1.92924 loss)
I0306 04:14:11.144368  5521 solver.cpp:449] Iteration 19160, lr = 0.005
I0306 04:14:24.046142  5521 solver.cpp:188] Iteration 19200, loss = 2.25199
I0306 04:14:24.046254  5521 solver.cpp:203]     Train net output #0: loss = 2.25199 (* 1 = 2.25199 loss)
I0306 04:14:24.046270  5521 solver.cpp:449] Iteration 19200, lr = 0.005
I0306 04:14:36.954682  5521 solver.cpp:188] Iteration 19240, loss = 2.04569
I0306 04:14:36.954747  5521 solver.cpp:203]     Train net output #0: loss = 2.04569 (* 1 = 2.04569 loss)
I0306 04:14:36.954762  5521 solver.cpp:449] Iteration 19240, lr = 0.005
I0306 04:14:49.860299  5521 solver.cpp:188] Iteration 19280, loss = 2.02131
I0306 04:14:49.860355  5521 solver.cpp:203]     Train net output #0: loss = 2.02131 (* 1 = 2.02131 loss)
I0306 04:14:49.860370  5521 solver.cpp:449] Iteration 19280, lr = 0.005
I0306 04:15:02.654572  5521 solver.cpp:188] Iteration 19320, loss = 2.0056
I0306 04:15:02.654680  5521 solver.cpp:203]     Train net output #0: loss = 2.0056 (* 1 = 2.0056 loss)
I0306 04:15:02.654695  5521 solver.cpp:449] Iteration 19320, lr = 0.005
I0306 04:15:15.412725  5521 solver.cpp:188] Iteration 19360, loss = 1.95985
I0306 04:15:15.412780  5521 solver.cpp:203]     Train net output #0: loss = 1.95985 (* 1 = 1.95985 loss)
I0306 04:15:15.412793  5521 solver.cpp:449] Iteration 19360, lr = 0.005
I0306 04:15:28.163842  5521 solver.cpp:188] Iteration 19400, loss = 2.00514
I0306 04:15:28.163902  5521 solver.cpp:203]     Train net output #0: loss = 2.00514 (* 1 = 2.00514 loss)
I0306 04:15:28.163916  5521 solver.cpp:449] Iteration 19400, lr = 0.005
I0306 04:15:40.901227  5521 solver.cpp:188] Iteration 19440, loss = 2.09784
I0306 04:15:40.901342  5521 solver.cpp:203]     Train net output #0: loss = 2.09784 (* 1 = 2.09784 loss)
I0306 04:15:40.901360  5521 solver.cpp:449] Iteration 19440, lr = 0.005
I0306 04:15:53.682236  5521 solver.cpp:188] Iteration 19480, loss = 2.08283
I0306 04:15:53.682293  5521 solver.cpp:203]     Train net output #0: loss = 2.08283 (* 1 = 2.08283 loss)
I0306 04:15:53.682308  5521 solver.cpp:449] Iteration 19480, lr = 0.005
I0306 04:16:06.432034  5521 solver.cpp:188] Iteration 19520, loss = 1.9294
I0306 04:16:06.432090  5521 solver.cpp:203]     Train net output #0: loss = 1.9294 (* 1 = 1.9294 loss)
I0306 04:16:06.432106  5521 solver.cpp:449] Iteration 19520, lr = 0.005
I0306 04:16:19.188921  5521 solver.cpp:188] Iteration 19560, loss = 1.90386
I0306 04:16:19.189064  5521 solver.cpp:203]     Train net output #0: loss = 1.90386 (* 1 = 1.90386 loss)
I0306 04:16:19.189082  5521 solver.cpp:449] Iteration 19560, lr = 0.005
I0306 04:16:31.941722  5521 solver.cpp:188] Iteration 19600, loss = 1.91471
I0306 04:16:31.941781  5521 solver.cpp:203]     Train net output #0: loss = 1.91471 (* 1 = 1.91471 loss)
I0306 04:16:31.941795  5521 solver.cpp:449] Iteration 19600, lr = 0.005
I0306 04:16:44.689250  5521 solver.cpp:188] Iteration 19640, loss = 2.03372
I0306 04:16:44.689301  5521 solver.cpp:203]     Train net output #0: loss = 2.03372 (* 1 = 2.03372 loss)
I0306 04:16:44.689314  5521 solver.cpp:449] Iteration 19640, lr = 0.005
I0306 04:16:57.497504  5521 solver.cpp:188] Iteration 19680, loss = 1.98613
I0306 04:16:57.497616  5521 solver.cpp:203]     Train net output #0: loss = 1.98613 (* 1 = 1.98613 loss)
I0306 04:16:57.497632  5521 solver.cpp:449] Iteration 19680, lr = 0.005
I0306 04:17:10.399526  5521 solver.cpp:188] Iteration 19720, loss = 2.09592
I0306 04:17:10.399582  5521 solver.cpp:203]     Train net output #0: loss = 2.09592 (* 1 = 2.09592 loss)
I0306 04:17:10.399597  5521 solver.cpp:449] Iteration 19720, lr = 0.005
I0306 04:17:23.298790  5521 solver.cpp:188] Iteration 19760, loss = 2.10392
I0306 04:17:23.298854  5521 solver.cpp:203]     Train net output #0: loss = 2.10392 (* 1 = 2.10392 loss)
I0306 04:17:23.298871  5521 solver.cpp:449] Iteration 19760, lr = 0.005
I0306 04:17:36.196017  5521 solver.cpp:188] Iteration 19800, loss = 1.79652
I0306 04:17:36.196097  5521 solver.cpp:203]     Train net output #0: loss = 1.79652 (* 1 = 1.79652 loss)
I0306 04:17:36.196113  5521 solver.cpp:449] Iteration 19800, lr = 0.005
I0306 04:17:49.105936  5521 solver.cpp:188] Iteration 19840, loss = 2.04692
I0306 04:17:49.105990  5521 solver.cpp:203]     Train net output #0: loss = 2.04692 (* 1 = 2.04692 loss)
I0306 04:17:49.106005  5521 solver.cpp:449] Iteration 19840, lr = 0.005
I0306 04:18:02.006216  5521 solver.cpp:188] Iteration 19880, loss = 1.74733
I0306 04:18:02.006281  5521 solver.cpp:203]     Train net output #0: loss = 1.74733 (* 1 = 1.74733 loss)
I0306 04:18:02.006296  5521 solver.cpp:449] Iteration 19880, lr = 0.005
I0306 04:18:14.897595  5521 solver.cpp:188] Iteration 19920, loss = 1.85681
I0306 04:18:14.897712  5521 solver.cpp:203]     Train net output #0: loss = 1.85681 (* 1 = 1.85681 loss)
I0306 04:18:14.897730  5521 solver.cpp:449] Iteration 19920, lr = 0.005
I0306 04:18:27.771292  5521 solver.cpp:188] Iteration 19960, loss = 1.83754
I0306 04:18:27.771347  5521 solver.cpp:203]     Train net output #0: loss = 1.83754 (* 1 = 1.83754 loss)
I0306 04:18:27.771363  5521 solver.cpp:449] Iteration 19960, lr = 0.005
I0306 04:18:40.995983  5521 solver.cpp:337] Snapshotting to cache/lsp/lsp_iter_20000.caffemodel
I0306 04:18:42.150550  5521 solver.cpp:345] Snapshotting solver state to cache/lsp/lsp_iter_20000.solverstate
I0306 04:18:42.879176  5521 solver.cpp:266] Iteration 20000, Testing net (#0)
I0306 04:18:59.688397  5521 solver.cpp:317]     Test net output #0: accuracy = 0.494154
I0306 04:18:59.688499  5521 solver.cpp:317]     Test net output #1: loss = 2.04231 (* 1 = 2.04231 loss)
I0306 04:18:59.782603  5521 solver.cpp:188] Iteration 20000, loss = 2.11874
I0306 04:18:59.782656  5521 solver.cpp:203]     Train net output #0: loss = 2.11874 (* 1 = 2.11874 loss)
I0306 04:18:59.782670  5521 solver.cpp:449] Iteration 20000, lr = 0.0005
I0306 04:19:12.202926  5521 solver.cpp:188] Iteration 20040, loss = 2.13022
I0306 04:19:12.202980  5521 solver.cpp:203]     Train net output #0: loss = 2.13022 (* 1 = 2.13022 loss)
I0306 04:19:12.202993  5521 solver.cpp:449] Iteration 20040, lr = 0.0005
I0306 04:19:25.279160  5521 solver.cpp:188] Iteration 20080, loss = 1.88558
I0306 04:19:25.279214  5521 solver.cpp:203]     Train net output #0: loss = 1.88558 (* 1 = 1.88558 loss)
I0306 04:19:25.279229  5521 solver.cpp:449] Iteration 20080, lr = 0.0005
I0306 04:19:38.216876  5521 solver.cpp:188] Iteration 20120, loss = 1.88817
I0306 04:19:38.216984  5521 solver.cpp:203]     Train net output #0: loss = 1.88817 (* 1 = 1.88817 loss)
I0306 04:19:38.217002  5521 solver.cpp:449] Iteration 20120, lr = 0.0005
I0306 04:19:51.139015  5521 solver.cpp:188] Iteration 20160, loss = 1.76154
I0306 04:19:51.139070  5521 solver.cpp:203]     Train net output #0: loss = 1.76154 (* 1 = 1.76154 loss)
I0306 04:19:51.139086  5521 solver.cpp:449] Iteration 20160, lr = 0.0005
I0306 04:20:03.984537  5521 solver.cpp:188] Iteration 20200, loss = 1.78517
I0306 04:20:03.984593  5521 solver.cpp:203]     Train net output #0: loss = 1.78517 (* 1 = 1.78517 loss)
I0306 04:20:03.984608  5521 solver.cpp:449] Iteration 20200, lr = 0.0005
I0306 04:20:16.731695  5521 solver.cpp:188] Iteration 20240, loss = 1.81652
I0306 04:20:16.731844  5521 solver.cpp:203]     Train net output #0: loss = 1.81652 (* 1 = 1.81652 loss)
I0306 04:20:16.731863  5521 solver.cpp:449] Iteration 20240, lr = 0.0005
I0306 04:20:29.494942  5521 solver.cpp:188] Iteration 20280, loss = 1.94726
I0306 04:20:29.495002  5521 solver.cpp:203]     Train net output #0: loss = 1.94726 (* 1 = 1.94726 loss)
I0306 04:20:29.495018  5521 solver.cpp:449] Iteration 20280, lr = 0.0005
I0306 04:20:42.257632  5521 solver.cpp:188] Iteration 20320, loss = 1.73433
I0306 04:20:42.257686  5521 solver.cpp:203]     Train net output #0: loss = 1.73433 (* 1 = 1.73433 loss)
I0306 04:20:42.257701  5521 solver.cpp:449] Iteration 20320, lr = 0.0005
I0306 04:20:55.028584  5521 solver.cpp:188] Iteration 20360, loss = 1.64833
I0306 04:20:55.028705  5521 solver.cpp:203]     Train net output #0: loss = 1.64833 (* 1 = 1.64833 loss)
I0306 04:20:55.028723  5521 solver.cpp:449] Iteration 20360, lr = 0.0005
I0306 04:21:07.798697  5521 solver.cpp:188] Iteration 20400, loss = 1.78406
I0306 04:21:07.798756  5521 solver.cpp:203]     Train net output #0: loss = 1.78406 (* 1 = 1.78406 loss)
I0306 04:21:07.798773  5521 solver.cpp:449] Iteration 20400, lr = 0.0005
I0306 04:21:20.589879  5521 solver.cpp:188] Iteration 20440, loss = 1.83542
I0306 04:21:20.589934  5521 solver.cpp:203]     Train net output #0: loss = 1.83542 (* 1 = 1.83542 loss)
I0306 04:21:20.589948  5521 solver.cpp:449] Iteration 20440, lr = 0.0005
I0306 04:21:33.373724  5521 solver.cpp:188] Iteration 20480, loss = 1.73862
I0306 04:21:33.373836  5521 solver.cpp:203]     Train net output #0: loss = 1.73862 (* 1 = 1.73862 loss)
I0306 04:21:33.373853  5521 solver.cpp:449] Iteration 20480, lr = 0.0005
I0306 04:21:46.148721  5521 solver.cpp:188] Iteration 20520, loss = 1.77641
I0306 04:21:46.148776  5521 solver.cpp:203]     Train net output #0: loss = 1.77641 (* 1 = 1.77641 loss)
I0306 04:21:46.148790  5521 solver.cpp:449] Iteration 20520, lr = 0.0005
I0306 04:21:58.913135  5521 solver.cpp:188] Iteration 20560, loss = 1.85235
I0306 04:21:58.913192  5521 solver.cpp:203]     Train net output #0: loss = 1.85235 (* 1 = 1.85235 loss)
I0306 04:21:58.913205  5521 solver.cpp:449] Iteration 20560, lr = 0.0005
I0306 04:22:11.690493  5521 solver.cpp:188] Iteration 20600, loss = 1.80297
I0306 04:22:11.690616  5521 solver.cpp:203]     Train net output #0: loss = 1.80297 (* 1 = 1.80297 loss)
I0306 04:22:11.690634  5521 solver.cpp:449] Iteration 20600, lr = 0.0005
I0306 04:22:24.449741  5521 solver.cpp:188] Iteration 20640, loss = 1.63058
I0306 04:22:24.449801  5521 solver.cpp:203]     Train net output #0: loss = 1.63058 (* 1 = 1.63058 loss)
I0306 04:22:24.449816  5521 solver.cpp:449] Iteration 20640, lr = 0.0005
I0306 04:22:37.194232  5521 solver.cpp:188] Iteration 20680, loss = 1.92468
I0306 04:22:37.194298  5521 solver.cpp:203]     Train net output #0: loss = 1.92468 (* 1 = 1.92468 loss)
I0306 04:22:37.194314  5521 solver.cpp:449] Iteration 20680, lr = 0.0005
I0306 04:22:49.949019  5521 solver.cpp:188] Iteration 20720, loss = 1.61274
I0306 04:22:49.949131  5521 solver.cpp:203]     Train net output #0: loss = 1.61274 (* 1 = 1.61274 loss)
I0306 04:22:49.949146  5521 solver.cpp:449] Iteration 20720, lr = 0.0005
I0306 04:23:02.715484  5521 solver.cpp:188] Iteration 20760, loss = 1.7915
I0306 04:23:02.715538  5521 solver.cpp:203]     Train net output #0: loss = 1.7915 (* 1 = 1.7915 loss)
I0306 04:23:02.715550  5521 solver.cpp:449] Iteration 20760, lr = 0.0005
I0306 04:23:15.480618  5521 solver.cpp:188] Iteration 20800, loss = 1.75022
I0306 04:23:15.480676  5521 solver.cpp:203]     Train net output #0: loss = 1.75022 (* 1 = 1.75022 loss)
I0306 04:23:15.480691  5521 solver.cpp:449] Iteration 20800, lr = 0.0005
I0306 04:23:28.240809  5521 solver.cpp:188] Iteration 20840, loss = 1.55921
I0306 04:23:28.240964  5521 solver.cpp:203]     Train net output #0: loss = 1.55921 (* 1 = 1.55921 loss)
I0306 04:23:28.240983  5521 solver.cpp:449] Iteration 20840, lr = 0.0005
I0306 04:23:40.993069  5521 solver.cpp:188] Iteration 20880, loss = 1.64998
I0306 04:23:40.993130  5521 solver.cpp:203]     Train net output #0: loss = 1.64998 (* 1 = 1.64998 loss)
I0306 04:23:40.993145  5521 solver.cpp:449] Iteration 20880, lr = 0.0005
I0306 04:23:54.014473  5521 solver.cpp:188] Iteration 20920, loss = 1.88645
I0306 04:23:54.014531  5521 solver.cpp:203]     Train net output #0: loss = 1.88645 (* 1 = 1.88645 loss)
I0306 04:23:54.014545  5521 solver.cpp:449] Iteration 20920, lr = 0.0005
I0306 04:24:06.833730  5521 solver.cpp:188] Iteration 20960, loss = 1.68665
I0306 04:24:06.833870  5521 solver.cpp:203]     Train net output #0: loss = 1.68665 (* 1 = 1.68665 loss)
I0306 04:24:06.833889  5521 solver.cpp:449] Iteration 20960, lr = 0.0005
I0306 04:24:19.588387  5521 solver.cpp:188] Iteration 21000, loss = 1.70797
I0306 04:24:19.588443  5521 solver.cpp:203]     Train net output #0: loss = 1.70797 (* 1 = 1.70797 loss)
I0306 04:24:19.588459  5521 solver.cpp:449] Iteration 21000, lr = 0.0005
I0306 04:24:32.345419  5521 solver.cpp:188] Iteration 21040, loss = 1.59846
I0306 04:24:32.345476  5521 solver.cpp:203]     Train net output #0: loss = 1.59846 (* 1 = 1.59846 loss)
I0306 04:24:32.345491  5521 solver.cpp:449] Iteration 21040, lr = 0.0005
I0306 04:24:45.106750  5521 solver.cpp:188] Iteration 21080, loss = 1.59042
I0306 04:24:45.106863  5521 solver.cpp:203]     Train net output #0: loss = 1.59042 (* 1 = 1.59042 loss)
I0306 04:24:45.106889  5521 solver.cpp:449] Iteration 21080, lr = 0.0005
I0306 04:24:57.851243  5521 solver.cpp:188] Iteration 21120, loss = 1.61285
I0306 04:24:57.851301  5521 solver.cpp:203]     Train net output #0: loss = 1.61285 (* 1 = 1.61285 loss)
I0306 04:24:57.851315  5521 solver.cpp:449] Iteration 21120, lr = 0.0005
I0306 04:25:10.597231  5521 solver.cpp:188] Iteration 21160, loss = 1.85781
I0306 04:25:10.597290  5521 solver.cpp:203]     Train net output #0: loss = 1.85781 (* 1 = 1.85781 loss)
I0306 04:25:10.597306  5521 solver.cpp:449] Iteration 21160, lr = 0.0005
I0306 04:25:23.338719  5521 solver.cpp:188] Iteration 21200, loss = 1.727
I0306 04:25:23.338814  5521 solver.cpp:203]     Train net output #0: loss = 1.727 (* 1 = 1.727 loss)
I0306 04:25:23.338830  5521 solver.cpp:449] Iteration 21200, lr = 0.0005
I0306 04:25:36.076004  5521 solver.cpp:188] Iteration 21240, loss = 1.79423
I0306 04:25:36.076062  5521 solver.cpp:203]     Train net output #0: loss = 1.79423 (* 1 = 1.79423 loss)
I0306 04:25:36.076077  5521 solver.cpp:449] Iteration 21240, lr = 0.0005
I0306 04:25:49.123719  5521 solver.cpp:188] Iteration 21280, loss = 1.78178
I0306 04:25:49.123775  5521 solver.cpp:203]     Train net output #0: loss = 1.78178 (* 1 = 1.78178 loss)
I0306 04:25:49.123790  5521 solver.cpp:449] Iteration 21280, lr = 0.0005
I0306 04:26:01.881989  5521 solver.cpp:188] Iteration 21320, loss = 1.69368
I0306 04:26:01.882102  5521 solver.cpp:203]     Train net output #0: loss = 1.69368 (* 1 = 1.69368 loss)
I0306 04:26:01.882119  5521 solver.cpp:449] Iteration 21320, lr = 0.0005
I0306 04:26:14.627470  5521 solver.cpp:188] Iteration 21360, loss = 1.61594
I0306 04:26:14.627534  5521 solver.cpp:203]     Train net output #0: loss = 1.61594 (* 1 = 1.61594 loss)
I0306 04:26:14.627552  5521 solver.cpp:449] Iteration 21360, lr = 0.0005
I0306 04:26:27.379973  5521 solver.cpp:188] Iteration 21400, loss = 1.80938
I0306 04:26:27.380028  5521 solver.cpp:203]     Train net output #0: loss = 1.80938 (* 1 = 1.80938 loss)
I0306 04:26:27.380043  5521 solver.cpp:449] Iteration 21400, lr = 0.0005
I0306 04:26:40.155269  5521 solver.cpp:188] Iteration 21440, loss = 1.71274
I0306 04:26:40.155401  5521 solver.cpp:203]     Train net output #0: loss = 1.71274 (* 1 = 1.71274 loss)
I0306 04:26:40.155418  5521 solver.cpp:449] Iteration 21440, lr = 0.0005
I0306 04:26:52.902539  5521 solver.cpp:188] Iteration 21480, loss = 1.72339
I0306 04:26:52.902597  5521 solver.cpp:203]     Train net output #0: loss = 1.72339 (* 1 = 1.72339 loss)
I0306 04:26:52.902617  5521 solver.cpp:449] Iteration 21480, lr = 0.0005
I0306 04:27:05.660332  5521 solver.cpp:188] Iteration 21520, loss = 1.72665
I0306 04:27:05.660389  5521 solver.cpp:203]     Train net output #0: loss = 1.72665 (* 1 = 1.72665 loss)
I0306 04:27:05.660404  5521 solver.cpp:449] Iteration 21520, lr = 0.0005
I0306 04:27:18.419059  5521 solver.cpp:188] Iteration 21560, loss = 1.59946
I0306 04:27:18.419165  5521 solver.cpp:203]     Train net output #0: loss = 1.59946 (* 1 = 1.59946 loss)
I0306 04:27:18.419183  5521 solver.cpp:449] Iteration 21560, lr = 0.0005
I0306 04:27:31.171255  5521 solver.cpp:188] Iteration 21600, loss = 1.77732
I0306 04:27:31.171309  5521 solver.cpp:203]     Train net output #0: loss = 1.77732 (* 1 = 1.77732 loss)
I0306 04:27:31.171324  5521 solver.cpp:449] Iteration 21600, lr = 0.0005
I0306 04:27:43.933500  5521 solver.cpp:188] Iteration 21640, loss = 1.60211
I0306 04:27:43.933559  5521 solver.cpp:203]     Train net output #0: loss = 1.60211 (* 1 = 1.60211 loss)
I0306 04:27:43.933574  5521 solver.cpp:449] Iteration 21640, lr = 0.0005
I0306 04:27:56.692253  5521 solver.cpp:188] Iteration 21680, loss = 1.66102
I0306 04:27:56.692361  5521 solver.cpp:203]     Train net output #0: loss = 1.66102 (* 1 = 1.66102 loss)
I0306 04:27:56.692378  5521 solver.cpp:449] Iteration 21680, lr = 0.0005
I0306 04:28:09.473100  5521 solver.cpp:188] Iteration 21720, loss = 1.71026
I0306 04:28:09.473156  5521 solver.cpp:203]     Train net output #0: loss = 1.71026 (* 1 = 1.71026 loss)
I0306 04:28:09.473171  5521 solver.cpp:449] Iteration 21720, lr = 0.0005
I0306 04:28:22.229429  5521 solver.cpp:188] Iteration 21760, loss = 1.61747
I0306 04:28:22.229487  5521 solver.cpp:203]     Train net output #0: loss = 1.61747 (* 1 = 1.61747 loss)
I0306 04:28:22.229501  5521 solver.cpp:449] Iteration 21760, lr = 0.0005
I0306 04:28:34.976109  5521 solver.cpp:188] Iteration 21800, loss = 1.74808
I0306 04:28:34.976223  5521 solver.cpp:203]     Train net output #0: loss = 1.74808 (* 1 = 1.74808 loss)
I0306 04:28:34.976241  5521 solver.cpp:449] Iteration 21800, lr = 0.0005
I0306 04:28:47.724127  5521 solver.cpp:188] Iteration 21840, loss = 1.49398
I0306 04:28:47.724184  5521 solver.cpp:203]     Train net output #0: loss = 1.49398 (* 1 = 1.49398 loss)
I0306 04:28:47.724200  5521 solver.cpp:449] Iteration 21840, lr = 0.0005
I0306 04:29:00.480339  5521 solver.cpp:188] Iteration 21880, loss = 1.59245
I0306 04:29:00.480399  5521 solver.cpp:203]     Train net output #0: loss = 1.59245 (* 1 = 1.59245 loss)
I0306 04:29:00.480413  5521 solver.cpp:449] Iteration 21880, lr = 0.0005
I0306 04:29:13.245002  5521 solver.cpp:188] Iteration 21920, loss = 1.55915
I0306 04:29:13.245115  5521 solver.cpp:203]     Train net output #0: loss = 1.55915 (* 1 = 1.55915 loss)
I0306 04:29:13.245132  5521 solver.cpp:449] Iteration 21920, lr = 0.0005
I0306 04:29:26.006649  5521 solver.cpp:188] Iteration 21960, loss = 1.609
I0306 04:29:26.006703  5521 solver.cpp:203]     Train net output #0: loss = 1.609 (* 1 = 1.609 loss)
I0306 04:29:26.006718  5521 solver.cpp:449] Iteration 21960, lr = 0.0005
I0306 04:29:38.770320  5521 solver.cpp:188] Iteration 22000, loss = 1.64692
I0306 04:29:38.770382  5521 solver.cpp:203]     Train net output #0: loss = 1.64692 (* 1 = 1.64692 loss)
I0306 04:29:38.770397  5521 solver.cpp:449] Iteration 22000, lr = 0.0005
I0306 04:29:51.528074  5521 solver.cpp:188] Iteration 22040, loss = 1.73149
I0306 04:29:51.528184  5521 solver.cpp:203]     Train net output #0: loss = 1.73149 (* 1 = 1.73149 loss)
I0306 04:29:51.528203  5521 solver.cpp:449] Iteration 22040, lr = 0.0005
I0306 04:30:04.297564  5521 solver.cpp:188] Iteration 22080, loss = 1.77422
I0306 04:30:04.297623  5521 solver.cpp:203]     Train net output #0: loss = 1.77422 (* 1 = 1.77422 loss)
I0306 04:30:04.297639  5521 solver.cpp:449] Iteration 22080, lr = 0.0005
I0306 04:30:17.043640  5521 solver.cpp:188] Iteration 22120, loss = 1.64145
I0306 04:30:17.043697  5521 solver.cpp:203]     Train net output #0: loss = 1.64145 (* 1 = 1.64145 loss)
I0306 04:30:17.043712  5521 solver.cpp:449] Iteration 22120, lr = 0.0005
I0306 04:30:29.787179  5521 solver.cpp:188] Iteration 22160, loss = 1.70294
I0306 04:30:29.787325  5521 solver.cpp:203]     Train net output #0: loss = 1.70294 (* 1 = 1.70294 loss)
I0306 04:30:29.787345  5521 solver.cpp:449] Iteration 22160, lr = 0.0005
I0306 04:30:42.529542  5521 solver.cpp:188] Iteration 22200, loss = 1.62358
I0306 04:30:42.529599  5521 solver.cpp:203]     Train net output #0: loss = 1.62358 (* 1 = 1.62358 loss)
I0306 04:30:42.529614  5521 solver.cpp:449] Iteration 22200, lr = 0.0005
I0306 04:30:55.291993  5521 solver.cpp:188] Iteration 22240, loss = 1.70782
I0306 04:30:55.292050  5521 solver.cpp:203]     Train net output #0: loss = 1.70782 (* 1 = 1.70782 loss)
I0306 04:30:55.292064  5521 solver.cpp:449] Iteration 22240, lr = 0.0005
I0306 04:31:08.036281  5521 solver.cpp:188] Iteration 22280, loss = 1.75212
I0306 04:31:08.036391  5521 solver.cpp:203]     Train net output #0: loss = 1.75212 (* 1 = 1.75212 loss)
I0306 04:31:08.036408  5521 solver.cpp:449] Iteration 22280, lr = 0.0005
I0306 04:31:20.761966  5521 solver.cpp:188] Iteration 22320, loss = 1.54117
I0306 04:31:20.762025  5521 solver.cpp:203]     Train net output #0: loss = 1.54117 (* 1 = 1.54117 loss)
I0306 04:31:20.762042  5521 solver.cpp:449] Iteration 22320, lr = 0.0005
I0306 04:31:33.518992  5521 solver.cpp:188] Iteration 22360, loss = 1.65302
I0306 04:31:33.519048  5521 solver.cpp:203]     Train net output #0: loss = 1.65302 (* 1 = 1.65302 loss)
I0306 04:31:33.519063  5521 solver.cpp:449] Iteration 22360, lr = 0.0005
I0306 04:31:46.279328  5521 solver.cpp:188] Iteration 22400, loss = 1.65006
I0306 04:31:46.279436  5521 solver.cpp:203]     Train net output #0: loss = 1.65006 (* 1 = 1.65006 loss)
I0306 04:31:46.279453  5521 solver.cpp:449] Iteration 22400, lr = 0.0005
I0306 04:31:59.054579  5521 solver.cpp:188] Iteration 22440, loss = 1.52692
I0306 04:31:59.054633  5521 solver.cpp:203]     Train net output #0: loss = 1.52692 (* 1 = 1.52692 loss)
I0306 04:31:59.054648  5521 solver.cpp:449] Iteration 22440, lr = 0.0005
I0306 04:32:11.801381  5521 solver.cpp:188] Iteration 22480, loss = 1.63137
I0306 04:32:11.801444  5521 solver.cpp:203]     Train net output #0: loss = 1.63137 (* 1 = 1.63137 loss)
I0306 04:32:11.801460  5521 solver.cpp:449] Iteration 22480, lr = 0.0005
I0306 04:32:24.564278  5521 solver.cpp:188] Iteration 22520, loss = 1.62275
I0306 04:32:24.564391  5521 solver.cpp:203]     Train net output #0: loss = 1.62275 (* 1 = 1.62275 loss)
I0306 04:32:24.564409  5521 solver.cpp:449] Iteration 22520, lr = 0.0005
I0306 04:32:37.329727  5521 solver.cpp:188] Iteration 22560, loss = 1.6099
I0306 04:32:37.329782  5521 solver.cpp:203]     Train net output #0: loss = 1.6099 (* 1 = 1.6099 loss)
I0306 04:32:37.329797  5521 solver.cpp:449] Iteration 22560, lr = 0.0005
I0306 04:32:50.097383  5521 solver.cpp:188] Iteration 22600, loss = 1.67483
I0306 04:32:50.097439  5521 solver.cpp:203]     Train net output #0: loss = 1.67483 (* 1 = 1.67483 loss)
I0306 04:32:50.097455  5521 solver.cpp:449] Iteration 22600, lr = 0.0005
I0306 04:33:02.852042  5521 solver.cpp:188] Iteration 22640, loss = 1.53264
I0306 04:33:02.852162  5521 solver.cpp:203]     Train net output #0: loss = 1.53264 (* 1 = 1.53264 loss)
I0306 04:33:02.852180  5521 solver.cpp:449] Iteration 22640, lr = 0.0005
I0306 04:33:15.616397  5521 solver.cpp:188] Iteration 22680, loss = 1.62444
I0306 04:33:15.616453  5521 solver.cpp:203]     Train net output #0: loss = 1.62444 (* 1 = 1.62444 loss)
I0306 04:33:15.616467  5521 solver.cpp:449] Iteration 22680, lr = 0.0005
I0306 04:33:28.365679  5521 solver.cpp:188] Iteration 22720, loss = 1.4766
I0306 04:33:28.365735  5521 solver.cpp:203]     Train net output #0: loss = 1.4766 (* 1 = 1.4766 loss)
I0306 04:33:28.365748  5521 solver.cpp:449] Iteration 22720, lr = 0.0005
I0306 04:33:41.121911  5521 solver.cpp:188] Iteration 22760, loss = 1.67658
I0306 04:33:41.122056  5521 solver.cpp:203]     Train net output #0: loss = 1.67658 (* 1 = 1.67658 loss)
I0306 04:33:41.122074  5521 solver.cpp:449] Iteration 22760, lr = 0.0005
I0306 04:33:53.951433  5521 solver.cpp:188] Iteration 22800, loss = 1.53469
I0306 04:33:53.951489  5521 solver.cpp:203]     Train net output #0: loss = 1.53469 (* 1 = 1.53469 loss)
I0306 04:33:53.951503  5521 solver.cpp:449] Iteration 22800, lr = 0.0005
I0306 04:34:06.707449  5521 solver.cpp:188] Iteration 22840, loss = 1.64999
I0306 04:34:06.707509  5521 solver.cpp:203]     Train net output #0: loss = 1.64999 (* 1 = 1.64999 loss)
I0306 04:34:06.707523  5521 solver.cpp:449] Iteration 22840, lr = 0.0005
I0306 04:34:19.524987  5521 solver.cpp:188] Iteration 22880, loss = 1.67116
I0306 04:34:19.525110  5521 solver.cpp:203]     Train net output #0: loss = 1.67116 (* 1 = 1.67116 loss)
I0306 04:34:19.525126  5521 solver.cpp:449] Iteration 22880, lr = 0.0005
I0306 04:34:32.296916  5521 solver.cpp:188] Iteration 22920, loss = 1.59793
I0306 04:34:32.296975  5521 solver.cpp:203]     Train net output #0: loss = 1.59793 (* 1 = 1.59793 loss)
I0306 04:34:32.296991  5521 solver.cpp:449] Iteration 22920, lr = 0.0005
I0306 04:34:45.065301  5521 solver.cpp:188] Iteration 22960, loss = 1.69559
I0306 04:34:45.065356  5521 solver.cpp:203]     Train net output #0: loss = 1.69559 (* 1 = 1.69559 loss)
I0306 04:34:45.065376  5521 solver.cpp:449] Iteration 22960, lr = 0.0005
I0306 04:34:57.843127  5521 solver.cpp:188] Iteration 23000, loss = 1.48238
I0306 04:34:57.843206  5521 solver.cpp:203]     Train net output #0: loss = 1.48238 (* 1 = 1.48238 loss)
I0306 04:34:57.843221  5521 solver.cpp:449] Iteration 23000, lr = 0.0005
I0306 04:35:10.633949  5521 solver.cpp:188] Iteration 23040, loss = 1.55775
I0306 04:35:10.634006  5521 solver.cpp:203]     Train net output #0: loss = 1.55775 (* 1 = 1.55775 loss)
I0306 04:35:10.634022  5521 solver.cpp:449] Iteration 23040, lr = 0.0005
I0306 04:35:23.398511  5521 solver.cpp:188] Iteration 23080, loss = 1.58716
I0306 04:35:23.398571  5521 solver.cpp:203]     Train net output #0: loss = 1.58716 (* 1 = 1.58716 loss)
I0306 04:35:23.398587  5521 solver.cpp:449] Iteration 23080, lr = 0.0005
I0306 04:35:36.158682  5521 solver.cpp:188] Iteration 23120, loss = 1.56462
I0306 04:35:36.158794  5521 solver.cpp:203]     Train net output #0: loss = 1.56462 (* 1 = 1.56462 loss)
I0306 04:35:36.158812  5521 solver.cpp:449] Iteration 23120, lr = 0.0005
I0306 04:35:48.986703  5521 solver.cpp:188] Iteration 23160, loss = 1.46034
I0306 04:35:48.986765  5521 solver.cpp:203]     Train net output #0: loss = 1.46034 (* 1 = 1.46034 loss)
I0306 04:35:48.986781  5521 solver.cpp:449] Iteration 23160, lr = 0.0005
I0306 04:36:01.750138  5521 solver.cpp:188] Iteration 23200, loss = 1.39751
I0306 04:36:01.750193  5521 solver.cpp:203]     Train net output #0: loss = 1.39751 (* 1 = 1.39751 loss)
I0306 04:36:01.750208  5521 solver.cpp:449] Iteration 23200, lr = 0.0005
I0306 04:36:14.514078  5521 solver.cpp:188] Iteration 23240, loss = 1.46004
I0306 04:36:14.514195  5521 solver.cpp:203]     Train net output #0: loss = 1.46004 (* 1 = 1.46004 loss)
I0306 04:36:14.514212  5521 solver.cpp:449] Iteration 23240, lr = 0.0005
I0306 04:36:27.272464  5521 solver.cpp:188] Iteration 23280, loss = 1.58982
I0306 04:36:27.272519  5521 solver.cpp:203]     Train net output #0: loss = 1.58982 (* 1 = 1.58982 loss)
I0306 04:36:27.272533  5521 solver.cpp:449] Iteration 23280, lr = 0.0005
I0306 04:36:40.055033  5521 solver.cpp:188] Iteration 23320, loss = 1.52817
I0306 04:36:40.055094  5521 solver.cpp:203]     Train net output #0: loss = 1.52817 (* 1 = 1.52817 loss)
I0306 04:36:40.055109  5521 solver.cpp:449] Iteration 23320, lr = 0.0005
I0306 04:36:52.814590  5521 solver.cpp:188] Iteration 23360, loss = 1.58787
I0306 04:36:52.814740  5521 solver.cpp:203]     Train net output #0: loss = 1.58787 (* 1 = 1.58787 loss)
I0306 04:36:52.814757  5521 solver.cpp:449] Iteration 23360, lr = 0.0005
I0306 04:37:05.597556  5521 solver.cpp:188] Iteration 23400, loss = 1.54477
I0306 04:37:05.597615  5521 solver.cpp:203]     Train net output #0: loss = 1.54477 (* 1 = 1.54477 loss)
I0306 04:37:05.597630  5521 solver.cpp:449] Iteration 23400, lr = 0.0005
I0306 04:37:18.359952  5521 solver.cpp:188] Iteration 23440, loss = 1.33109
I0306 04:37:18.360010  5521 solver.cpp:203]     Train net output #0: loss = 1.33109 (* 1 = 1.33109 loss)
I0306 04:37:18.360025  5521 solver.cpp:449] Iteration 23440, lr = 0.0005
I0306 04:37:31.115790  5521 solver.cpp:188] Iteration 23480, loss = 1.55519
I0306 04:37:31.115903  5521 solver.cpp:203]     Train net output #0: loss = 1.55519 (* 1 = 1.55519 loss)
I0306 04:37:31.115921  5521 solver.cpp:449] Iteration 23480, lr = 0.0005
I0306 04:37:43.883913  5521 solver.cpp:188] Iteration 23520, loss = 1.57467
I0306 04:37:43.883970  5521 solver.cpp:203]     Train net output #0: loss = 1.57467 (* 1 = 1.57467 loss)
I0306 04:37:43.883985  5521 solver.cpp:449] Iteration 23520, lr = 0.0005
I0306 04:37:56.649175  5521 solver.cpp:188] Iteration 23560, loss = 1.59361
I0306 04:37:56.649230  5521 solver.cpp:203]     Train net output #0: loss = 1.59361 (* 1 = 1.59361 loss)
I0306 04:37:56.649245  5521 solver.cpp:449] Iteration 23560, lr = 0.0005
I0306 04:38:09.410691  5521 solver.cpp:188] Iteration 23600, loss = 1.46354
I0306 04:38:09.410804  5521 solver.cpp:203]     Train net output #0: loss = 1.46354 (* 1 = 1.46354 loss)
I0306 04:38:09.410820  5521 solver.cpp:449] Iteration 23600, lr = 0.0005
I0306 04:38:22.179541  5521 solver.cpp:188] Iteration 23640, loss = 1.52401
I0306 04:38:22.179596  5521 solver.cpp:203]     Train net output #0: loss = 1.52401 (* 1 = 1.52401 loss)
I0306 04:38:22.179610  5521 solver.cpp:449] Iteration 23640, lr = 0.0005
I0306 04:38:34.942229  5521 solver.cpp:188] Iteration 23680, loss = 1.3803
I0306 04:38:34.942286  5521 solver.cpp:203]     Train net output #0: loss = 1.3803 (* 1 = 1.3803 loss)
I0306 04:38:34.942299  5521 solver.cpp:449] Iteration 23680, lr = 0.0005
I0306 04:38:47.725744  5521 solver.cpp:188] Iteration 23720, loss = 1.42569
I0306 04:38:47.725863  5521 solver.cpp:203]     Train net output #0: loss = 1.42569 (* 1 = 1.42569 loss)
I0306 04:38:47.725882  5521 solver.cpp:449] Iteration 23720, lr = 0.0005
I0306 04:39:00.498939  5521 solver.cpp:188] Iteration 23760, loss = 1.46241
I0306 04:39:00.498996  5521 solver.cpp:203]     Train net output #0: loss = 1.46241 (* 1 = 1.46241 loss)
I0306 04:39:00.499012  5521 solver.cpp:449] Iteration 23760, lr = 0.0005
I0306 04:39:13.280513  5521 solver.cpp:188] Iteration 23800, loss = 1.52581
I0306 04:39:13.280575  5521 solver.cpp:203]     Train net output #0: loss = 1.52581 (* 1 = 1.52581 loss)
I0306 04:39:13.280589  5521 solver.cpp:449] Iteration 23800, lr = 0.0005
I0306 04:39:26.052692  5521 solver.cpp:188] Iteration 23840, loss = 1.57615
I0306 04:39:26.052813  5521 solver.cpp:203]     Train net output #0: loss = 1.57615 (* 1 = 1.57615 loss)
I0306 04:39:26.052832  5521 solver.cpp:449] Iteration 23840, lr = 0.0005
I0306 04:39:38.838358  5521 solver.cpp:188] Iteration 23880, loss = 1.30343
I0306 04:39:38.838421  5521 solver.cpp:203]     Train net output #0: loss = 1.30343 (* 1 = 1.30343 loss)
I0306 04:39:38.838438  5521 solver.cpp:449] Iteration 23880, lr = 0.0005
I0306 04:39:51.620163  5521 solver.cpp:188] Iteration 23920, loss = 1.51389
I0306 04:39:51.620220  5521 solver.cpp:203]     Train net output #0: loss = 1.51389 (* 1 = 1.51389 loss)
I0306 04:39:51.620234  5521 solver.cpp:449] Iteration 23920, lr = 0.0005
I0306 04:40:04.401275  5521 solver.cpp:188] Iteration 23960, loss = 1.62323
I0306 04:40:04.401386  5521 solver.cpp:203]     Train net output #0: loss = 1.62323 (* 1 = 1.62323 loss)
I0306 04:40:04.401401  5521 solver.cpp:449] Iteration 23960, lr = 0.0005
I0306 04:40:17.176069  5521 solver.cpp:188] Iteration 24000, loss = 1.48914
I0306 04:40:17.176125  5521 solver.cpp:203]     Train net output #0: loss = 1.48914 (* 1 = 1.48914 loss)
I0306 04:40:17.176139  5521 solver.cpp:449] Iteration 24000, lr = 0.0005
I0306 04:40:29.946094  5521 solver.cpp:188] Iteration 24040, loss = 1.4265
I0306 04:40:29.946153  5521 solver.cpp:203]     Train net output #0: loss = 1.4265 (* 1 = 1.4265 loss)
I0306 04:40:29.946168  5521 solver.cpp:449] Iteration 24040, lr = 0.0005
I0306 04:40:42.713750  5521 solver.cpp:188] Iteration 24080, loss = 1.5447
I0306 04:40:42.713884  5521 solver.cpp:203]     Train net output #0: loss = 1.5447 (* 1 = 1.5447 loss)
I0306 04:40:42.713902  5521 solver.cpp:449] Iteration 24080, lr = 0.0005
I0306 04:40:55.484689  5521 solver.cpp:188] Iteration 24120, loss = 1.45385
I0306 04:40:55.484745  5521 solver.cpp:203]     Train net output #0: loss = 1.45385 (* 1 = 1.45385 loss)
I0306 04:40:55.484760  5521 solver.cpp:449] Iteration 24120, lr = 0.0005
I0306 04:41:08.273681  5521 solver.cpp:188] Iteration 24160, loss = 1.42732
I0306 04:41:08.273741  5521 solver.cpp:203]     Train net output #0: loss = 1.42732 (* 1 = 1.42732 loss)
I0306 04:41:08.273756  5521 solver.cpp:449] Iteration 24160, lr = 0.0005
I0306 04:41:21.044981  5521 solver.cpp:188] Iteration 24200, loss = 1.47945
I0306 04:41:21.045107  5521 solver.cpp:203]     Train net output #0: loss = 1.47945 (* 1 = 1.47945 loss)
I0306 04:41:21.045125  5521 solver.cpp:449] Iteration 24200, lr = 0.0005
I0306 04:41:33.828090  5521 solver.cpp:188] Iteration 24240, loss = 1.49399
I0306 04:41:33.828147  5521 solver.cpp:203]     Train net output #0: loss = 1.49399 (* 1 = 1.49399 loss)
I0306 04:41:33.828162  5521 solver.cpp:449] Iteration 24240, lr = 0.0005
I0306 04:41:46.615370  5521 solver.cpp:188] Iteration 24280, loss = 1.80516
I0306 04:41:46.615427  5521 solver.cpp:203]     Train net output #0: loss = 1.80516 (* 1 = 1.80516 loss)
I0306 04:41:46.615442  5521 solver.cpp:449] Iteration 24280, lr = 0.0005
I0306 04:41:59.413066  5521 solver.cpp:188] Iteration 24320, loss = 1.79767
I0306 04:41:59.413168  5521 solver.cpp:203]     Train net output #0: loss = 1.79767 (* 1 = 1.79767 loss)
I0306 04:41:59.413185  5521 solver.cpp:449] Iteration 24320, lr = 0.0005
I0306 04:42:12.192160  5521 solver.cpp:188] Iteration 24360, loss = 1.71103
I0306 04:42:12.192234  5521 solver.cpp:203]     Train net output #0: loss = 1.71103 (* 1 = 1.71103 loss)
I0306 04:42:12.192250  5521 solver.cpp:449] Iteration 24360, lr = 0.0005
I0306 04:42:24.952033  5521 solver.cpp:188] Iteration 24400, loss = 1.47622
I0306 04:42:24.952087  5521 solver.cpp:203]     Train net output #0: loss = 1.47622 (* 1 = 1.47622 loss)
I0306 04:42:24.952101  5521 solver.cpp:449] Iteration 24400, lr = 0.0005
I0306 04:42:37.710837  5521 solver.cpp:188] Iteration 24440, loss = 1.6251
I0306 04:42:37.710959  5521 solver.cpp:203]     Train net output #0: loss = 1.6251 (* 1 = 1.6251 loss)
I0306 04:42:37.710975  5521 solver.cpp:449] Iteration 24440, lr = 0.0005
I0306 04:42:50.473521  5521 solver.cpp:188] Iteration 24480, loss = 1.65759
I0306 04:42:50.473579  5521 solver.cpp:203]     Train net output #0: loss = 1.65759 (* 1 = 1.65759 loss)
I0306 04:42:50.473593  5521 solver.cpp:449] Iteration 24480, lr = 0.0005
I0306 04:43:03.221837  5521 solver.cpp:188] Iteration 24520, loss = 1.64086
I0306 04:43:03.221895  5521 solver.cpp:203]     Train net output #0: loss = 1.64086 (* 1 = 1.64086 loss)
I0306 04:43:03.221916  5521 solver.cpp:449] Iteration 24520, lr = 0.0005
I0306 04:43:15.991267  5521 solver.cpp:188] Iteration 24560, loss = 1.70164
I0306 04:43:15.991374  5521 solver.cpp:203]     Train net output #0: loss = 1.70164 (* 1 = 1.70164 loss)
I0306 04:43:15.991390  5521 solver.cpp:449] Iteration 24560, lr = 0.0005
I0306 04:43:28.748589  5521 solver.cpp:188] Iteration 24600, loss = 1.76608
I0306 04:43:28.748643  5521 solver.cpp:203]     Train net output #0: loss = 1.76608 (* 1 = 1.76608 loss)
I0306 04:43:28.748658  5521 solver.cpp:449] Iteration 24600, lr = 0.0005
I0306 04:43:41.532565  5521 solver.cpp:188] Iteration 24640, loss = 1.72164
I0306 04:43:41.532626  5521 solver.cpp:203]     Train net output #0: loss = 1.72164 (* 1 = 1.72164 loss)
I0306 04:43:41.532641  5521 solver.cpp:449] Iteration 24640, lr = 0.0005
I0306 04:43:54.343538  5521 solver.cpp:188] Iteration 24680, loss = 1.6697
I0306 04:43:54.343685  5521 solver.cpp:203]     Train net output #0: loss = 1.6697 (* 1 = 1.6697 loss)
I0306 04:43:54.343705  5521 solver.cpp:449] Iteration 24680, lr = 0.0005
I0306 04:44:07.119511  5521 solver.cpp:188] Iteration 24720, loss = 1.71744
I0306 04:44:07.119567  5521 solver.cpp:203]     Train net output #0: loss = 1.71744 (* 1 = 1.71744 loss)
I0306 04:44:07.119581  5521 solver.cpp:449] Iteration 24720, lr = 0.0005
I0306 04:44:19.937280  5521 solver.cpp:188] Iteration 24760, loss = 1.66634
I0306 04:44:19.937338  5521 solver.cpp:203]     Train net output #0: loss = 1.66634 (* 1 = 1.66634 loss)
I0306 04:44:19.937355  5521 solver.cpp:449] Iteration 24760, lr = 0.0005
I0306 04:44:32.723600  5521 solver.cpp:188] Iteration 24800, loss = 1.62034
I0306 04:44:32.723711  5521 solver.cpp:203]     Train net output #0: loss = 1.62034 (* 1 = 1.62034 loss)
I0306 04:44:32.723727  5521 solver.cpp:449] Iteration 24800, lr = 0.0005
I0306 04:44:45.531761  5521 solver.cpp:188] Iteration 24840, loss = 1.57832
I0306 04:44:45.531832  5521 solver.cpp:203]     Train net output #0: loss = 1.57832 (* 1 = 1.57832 loss)
I0306 04:44:45.531851  5521 solver.cpp:449] Iteration 24840, lr = 0.0005
I0306 04:44:58.318012  5521 solver.cpp:188] Iteration 24880, loss = 1.61898
I0306 04:44:58.318078  5521 solver.cpp:203]     Train net output #0: loss = 1.61898 (* 1 = 1.61898 loss)
I0306 04:44:58.318094  5521 solver.cpp:449] Iteration 24880, lr = 0.0005
I0306 04:45:11.103855  5521 solver.cpp:188] Iteration 24920, loss = 1.68712
I0306 04:45:11.103973  5521 solver.cpp:203]     Train net output #0: loss = 1.68712 (* 1 = 1.68712 loss)
I0306 04:45:11.103991  5521 solver.cpp:449] Iteration 24920, lr = 0.0005
I0306 04:45:23.878494  5521 solver.cpp:188] Iteration 24960, loss = 1.7222
I0306 04:45:23.878554  5521 solver.cpp:203]     Train net output #0: loss = 1.7222 (* 1 = 1.7222 loss)
I0306 04:45:23.878569  5521 solver.cpp:449] Iteration 24960, lr = 0.0005
I0306 04:45:37.045871  5521 solver.cpp:337] Snapshotting to cache/lsp/lsp_iter_25000.caffemodel
I0306 04:45:38.216543  5521 solver.cpp:345] Snapshotting solver state to cache/lsp/lsp_iter_25000.solverstate
I0306 04:45:38.967792  5521 solver.cpp:266] Iteration 25000, Testing net (#0)
I0306 04:45:55.807615  5521 solver.cpp:317]     Test net output #0: accuracy = 0.546538
I0306 04:45:55.807713  5521 solver.cpp:317]     Test net output #1: loss = 1.74939 (* 1 = 1.74939 loss)
I0306 04:45:55.902281  5521 solver.cpp:188] Iteration 25000, loss = 1.4905
I0306 04:45:55.902336  5521 solver.cpp:203]     Train net output #0: loss = 1.4905 (* 1 = 1.4905 loss)
I0306 04:45:55.902350  5521 solver.cpp:449] Iteration 25000, lr = 0.0005
I0306 04:46:08.223151  5521 solver.cpp:188] Iteration 25040, loss = 1.59622
I0306 04:46:08.223206  5521 solver.cpp:203]     Train net output #0: loss = 1.59622 (* 1 = 1.59622 loss)
I0306 04:46:08.223222  5521 solver.cpp:449] Iteration 25040, lr = 0.0005
I0306 04:46:21.143730  5521 solver.cpp:188] Iteration 25080, loss = 1.79107
I0306 04:46:21.143785  5521 solver.cpp:203]     Train net output #0: loss = 1.79107 (* 1 = 1.79107 loss)
I0306 04:46:21.143800  5521 solver.cpp:449] Iteration 25080, lr = 0.0005
I0306 04:46:34.055027  5521 solver.cpp:188] Iteration 25120, loss = 1.75148
I0306 04:46:34.055146  5521 solver.cpp:203]     Train net output #0: loss = 1.75148 (* 1 = 1.75148 loss)
I0306 04:46:34.055165  5521 solver.cpp:449] Iteration 25120, lr = 0.0005
I0306 04:46:46.971176  5521 solver.cpp:188] Iteration 25160, loss = 1.73756
I0306 04:46:46.971230  5521 solver.cpp:203]     Train net output #0: loss = 1.73756 (* 1 = 1.73756 loss)
I0306 04:46:46.971246  5521 solver.cpp:449] Iteration 25160, lr = 0.0005
I0306 04:46:59.878319  5521 solver.cpp:188] Iteration 25200, loss = 1.62112
I0306 04:46:59.878377  5521 solver.cpp:203]     Train net output #0: loss = 1.62112 (* 1 = 1.62112 loss)
I0306 04:46:59.878391  5521 solver.cpp:449] Iteration 25200, lr = 0.0005
I0306 04:47:12.773493  5521 solver.cpp:188] Iteration 25240, loss = 1.61101
I0306 04:47:12.773629  5521 solver.cpp:203]     Train net output #0: loss = 1.61101 (* 1 = 1.61101 loss)
I0306 04:47:12.773646  5521 solver.cpp:449] Iteration 25240, lr = 0.0005
I0306 04:47:25.600394  5521 solver.cpp:188] Iteration 25280, loss = 1.56645
I0306 04:47:25.600450  5521 solver.cpp:203]     Train net output #0: loss = 1.56645 (* 1 = 1.56645 loss)
I0306 04:47:25.600464  5521 solver.cpp:449] Iteration 25280, lr = 0.0005
I0306 04:47:38.362463  5521 solver.cpp:188] Iteration 25320, loss = 1.63966
I0306 04:47:38.362521  5521 solver.cpp:203]     Train net output #0: loss = 1.63966 (* 1 = 1.63966 loss)
I0306 04:47:38.362536  5521 solver.cpp:449] Iteration 25320, lr = 0.0005
I0306 04:47:51.136386  5521 solver.cpp:188] Iteration 25360, loss = 1.74188
I0306 04:47:51.136504  5521 solver.cpp:203]     Train net output #0: loss = 1.74188 (* 1 = 1.74188 loss)
I0306 04:47:51.136522  5521 solver.cpp:449] Iteration 25360, lr = 0.0005
I0306 04:48:03.895617  5521 solver.cpp:188] Iteration 25400, loss = 1.73716
I0306 04:48:03.895673  5521 solver.cpp:203]     Train net output #0: loss = 1.73716 (* 1 = 1.73716 loss)
I0306 04:48:03.895689  5521 solver.cpp:449] Iteration 25400, lr = 0.0005
I0306 04:48:16.656293  5521 solver.cpp:188] Iteration 25440, loss = 1.7231
I0306 04:48:16.656350  5521 solver.cpp:203]     Train net output #0: loss = 1.7231 (* 1 = 1.7231 loss)
I0306 04:48:16.656365  5521 solver.cpp:449] Iteration 25440, lr = 0.0005
I0306 04:48:29.426363  5521 solver.cpp:188] Iteration 25480, loss = 1.51026
I0306 04:48:29.426476  5521 solver.cpp:203]     Train net output #0: loss = 1.51026 (* 1 = 1.51026 loss)
I0306 04:48:29.426491  5521 solver.cpp:449] Iteration 25480, lr = 0.0005
I0306 04:48:42.176216  5521 solver.cpp:188] Iteration 25520, loss = 1.58512
I0306 04:48:42.176272  5521 solver.cpp:203]     Train net output #0: loss = 1.58512 (* 1 = 1.58512 loss)
I0306 04:48:42.176287  5521 solver.cpp:449] Iteration 25520, lr = 0.0005
I0306 04:48:54.936914  5521 solver.cpp:188] Iteration 25560, loss = 1.59377
I0306 04:48:54.936975  5521 solver.cpp:203]     Train net output #0: loss = 1.59377 (* 1 = 1.59377 loss)
I0306 04:48:54.936991  5521 solver.cpp:449] Iteration 25560, lr = 0.0005
I0306 04:49:07.696033  5521 solver.cpp:188] Iteration 25600, loss = 1.58968
I0306 04:49:07.696141  5521 solver.cpp:203]     Train net output #0: loss = 1.58968 (* 1 = 1.58968 loss)
I0306 04:49:07.696156  5521 solver.cpp:449] Iteration 25600, lr = 0.0005
I0306 04:49:20.447854  5521 solver.cpp:188] Iteration 25640, loss = 1.6566
I0306 04:49:20.447912  5521 solver.cpp:203]     Train net output #0: loss = 1.6566 (* 1 = 1.6566 loss)
I0306 04:49:20.447927  5521 solver.cpp:449] Iteration 25640, lr = 0.0005
I0306 04:49:33.209326  5521 solver.cpp:188] Iteration 25680, loss = 1.5917
I0306 04:49:33.209389  5521 solver.cpp:203]     Train net output #0: loss = 1.5917 (* 1 = 1.5917 loss)
I0306 04:49:33.209404  5521 solver.cpp:449] Iteration 25680, lr = 0.0005
I0306 04:49:45.983450  5521 solver.cpp:188] Iteration 25720, loss = 1.57445
I0306 04:49:45.983575  5521 solver.cpp:203]     Train net output #0: loss = 1.57445 (* 1 = 1.57445 loss)
I0306 04:49:45.983592  5521 solver.cpp:449] Iteration 25720, lr = 0.0005
I0306 04:49:58.753413  5521 solver.cpp:188] Iteration 25760, loss = 1.52135
I0306 04:49:58.753471  5521 solver.cpp:203]     Train net output #0: loss = 1.52135 (* 1 = 1.52135 loss)
I0306 04:49:58.753485  5521 solver.cpp:449] Iteration 25760, lr = 0.0005
I0306 04:50:11.525393  5521 solver.cpp:188] Iteration 25800, loss = 1.55508
I0306 04:50:11.525460  5521 solver.cpp:203]     Train net output #0: loss = 1.55508 (* 1 = 1.55508 loss)
I0306 04:50:11.525475  5521 solver.cpp:449] Iteration 25800, lr = 0.0005
I0306 04:50:24.343823  5521 solver.cpp:188] Iteration 25840, loss = 1.59217
I0306 04:50:24.343935  5521 solver.cpp:203]     Train net output #0: loss = 1.59217 (* 1 = 1.59217 loss)
I0306 04:50:24.343950  5521 solver.cpp:449] Iteration 25840, lr = 0.0005
I0306 04:50:37.146950  5521 solver.cpp:188] Iteration 25880, loss = 1.64862
I0306 04:50:37.147009  5521 solver.cpp:203]     Train net output #0: loss = 1.64862 (* 1 = 1.64862 loss)
I0306 04:50:37.147023  5521 solver.cpp:449] Iteration 25880, lr = 0.0005
I0306 04:50:49.910984  5521 solver.cpp:188] Iteration 25920, loss = 1.4916
I0306 04:50:49.911039  5521 solver.cpp:203]     Train net output #0: loss = 1.4916 (* 1 = 1.4916 loss)
I0306 04:50:49.911054  5521 solver.cpp:449] Iteration 25920, lr = 0.0005
I0306 04:51:02.661574  5521 solver.cpp:188] Iteration 25960, loss = 1.61468
I0306 04:51:02.661725  5521 solver.cpp:203]     Train net output #0: loss = 1.61468 (* 1 = 1.61468 loss)
I0306 04:51:02.661742  5521 solver.cpp:449] Iteration 25960, lr = 0.0005
I0306 04:51:15.429844  5521 solver.cpp:188] Iteration 26000, loss = 1.52785
I0306 04:51:15.429898  5521 solver.cpp:203]     Train net output #0: loss = 1.52785 (* 1 = 1.52785 loss)
I0306 04:51:15.429911  5521 solver.cpp:449] Iteration 26000, lr = 0.0005
I0306 04:51:28.211112  5521 solver.cpp:188] Iteration 26040, loss = 1.48881
I0306 04:51:28.211169  5521 solver.cpp:203]     Train net output #0: loss = 1.48881 (* 1 = 1.48881 loss)
I0306 04:51:28.211184  5521 solver.cpp:449] Iteration 26040, lr = 0.0005
I0306 04:51:40.973011  5521 solver.cpp:188] Iteration 26080, loss = 1.64819
I0306 04:51:40.973130  5521 solver.cpp:203]     Train net output #0: loss = 1.64819 (* 1 = 1.64819 loss)
I0306 04:51:40.973146  5521 solver.cpp:449] Iteration 26080, lr = 0.0005
I0306 04:51:53.738735  5521 solver.cpp:188] Iteration 26120, loss = 1.45241
I0306 04:51:53.738792  5521 solver.cpp:203]     Train net output #0: loss = 1.45241 (* 1 = 1.45241 loss)
I0306 04:51:53.738807  5521 solver.cpp:449] Iteration 26120, lr = 0.0005
I0306 04:52:06.516191  5521 solver.cpp:188] Iteration 26160, loss = 1.59524
I0306 04:52:06.516249  5521 solver.cpp:203]     Train net output #0: loss = 1.59524 (* 1 = 1.59524 loss)
I0306 04:52:06.516263  5521 solver.cpp:449] Iteration 26160, lr = 0.0005
I0306 04:52:19.294579  5521 solver.cpp:188] Iteration 26200, loss = 1.41949
I0306 04:52:19.294663  5521 solver.cpp:203]     Train net output #0: loss = 1.41949 (* 1 = 1.41949 loss)
I0306 04:52:19.294680  5521 solver.cpp:449] Iteration 26200, lr = 0.0005
I0306 04:52:32.054656  5521 solver.cpp:188] Iteration 26240, loss = 1.62648
I0306 04:52:32.054713  5521 solver.cpp:203]     Train net output #0: loss = 1.62648 (* 1 = 1.62648 loss)
I0306 04:52:32.054728  5521 solver.cpp:449] Iteration 26240, lr = 0.0005
I0306 04:52:44.811686  5521 solver.cpp:188] Iteration 26280, loss = 1.62926
I0306 04:52:44.811743  5521 solver.cpp:203]     Train net output #0: loss = 1.62926 (* 1 = 1.62926 loss)
I0306 04:52:44.811760  5521 solver.cpp:449] Iteration 26280, lr = 0.0005
I0306 04:52:57.575106  5521 solver.cpp:188] Iteration 26320, loss = 1.46965
I0306 04:52:57.575211  5521 solver.cpp:203]     Train net output #0: loss = 1.46965 (* 1 = 1.46965 loss)
I0306 04:52:57.575227  5521 solver.cpp:449] Iteration 26320, lr = 0.0005
I0306 04:53:10.326166  5521 solver.cpp:188] Iteration 26360, loss = 1.64774
I0306 04:53:10.326227  5521 solver.cpp:203]     Train net output #0: loss = 1.64774 (* 1 = 1.64774 loss)
I0306 04:53:10.326242  5521 solver.cpp:449] Iteration 26360, lr = 0.0005
I0306 04:53:23.084381  5521 solver.cpp:188] Iteration 26400, loss = 1.4604
I0306 04:53:23.084437  5521 solver.cpp:203]     Train net output #0: loss = 1.4604 (* 1 = 1.4604 loss)
I0306 04:53:23.084451  5521 solver.cpp:449] Iteration 26400, lr = 0.0005
I0306 04:53:35.846482  5521 solver.cpp:188] Iteration 26440, loss = 1.47262
I0306 04:53:35.846586  5521 solver.cpp:203]     Train net output #0: loss = 1.47262 (* 1 = 1.47262 loss)
I0306 04:53:35.846604  5521 solver.cpp:449] Iteration 26440, lr = 0.0005
I0306 04:53:48.627535  5521 solver.cpp:188] Iteration 26480, loss = 1.44443
I0306 04:53:48.627591  5521 solver.cpp:203]     Train net output #0: loss = 1.44443 (* 1 = 1.44443 loss)
I0306 04:53:48.627605  5521 solver.cpp:449] Iteration 26480, lr = 0.0005
I0306 04:54:01.473933  5521 solver.cpp:188] Iteration 26520, loss = 1.71115
I0306 04:54:01.473989  5521 solver.cpp:203]     Train net output #0: loss = 1.71115 (* 1 = 1.71115 loss)
I0306 04:54:01.474004  5521 solver.cpp:449] Iteration 26520, lr = 0.0005
I0306 04:54:14.236145  5521 solver.cpp:188] Iteration 26560, loss = 1.4502
I0306 04:54:14.236286  5521 solver.cpp:203]     Train net output #0: loss = 1.4502 (* 1 = 1.4502 loss)
I0306 04:54:14.236304  5521 solver.cpp:449] Iteration 26560, lr = 0.0005
I0306 04:54:26.998574  5521 solver.cpp:188] Iteration 26600, loss = 1.52701
I0306 04:54:26.998633  5521 solver.cpp:203]     Train net output #0: loss = 1.52701 (* 1 = 1.52701 loss)
I0306 04:54:26.998648  5521 solver.cpp:449] Iteration 26600, lr = 0.0005
I0306 04:54:39.743872  5521 solver.cpp:188] Iteration 26640, loss = 1.53943
I0306 04:54:39.743932  5521 solver.cpp:203]     Train net output #0: loss = 1.53943 (* 1 = 1.53943 loss)
I0306 04:54:39.743947  5521 solver.cpp:449] Iteration 26640, lr = 0.0005
I0306 04:54:52.501132  5521 solver.cpp:188] Iteration 26680, loss = 1.6043
I0306 04:54:52.501260  5521 solver.cpp:203]     Train net output #0: loss = 1.6043 (* 1 = 1.6043 loss)
I0306 04:54:52.501276  5521 solver.cpp:449] Iteration 26680, lr = 0.0005
I0306 04:55:05.241672  5521 solver.cpp:188] Iteration 26720, loss = 1.49514
I0306 04:55:05.241737  5521 solver.cpp:203]     Train net output #0: loss = 1.49514 (* 1 = 1.49514 loss)
I0306 04:55:05.241752  5521 solver.cpp:449] Iteration 26720, lr = 0.0005
I0306 04:55:17.997339  5521 solver.cpp:188] Iteration 26760, loss = 1.52166
I0306 04:55:17.997397  5521 solver.cpp:203]     Train net output #0: loss = 1.52166 (* 1 = 1.52166 loss)
I0306 04:55:17.997413  5521 solver.cpp:449] Iteration 26760, lr = 0.0005
I0306 04:55:30.740751  5521 solver.cpp:188] Iteration 26800, loss = 1.55559
I0306 04:55:30.740846  5521 solver.cpp:203]     Train net output #0: loss = 1.55559 (* 1 = 1.55559 loss)
I0306 04:55:30.740862  5521 solver.cpp:449] Iteration 26800, lr = 0.0005
I0306 04:55:43.508186  5521 solver.cpp:188] Iteration 26840, loss = 1.49292
I0306 04:55:43.508249  5521 solver.cpp:203]     Train net output #0: loss = 1.49292 (* 1 = 1.49292 loss)
I0306 04:55:43.508266  5521 solver.cpp:449] Iteration 26840, lr = 0.0005
I0306 04:55:56.347257  5521 solver.cpp:188] Iteration 26880, loss = 1.46821
I0306 04:55:56.347313  5521 solver.cpp:203]     Train net output #0: loss = 1.46821 (* 1 = 1.46821 loss)
I0306 04:55:56.347329  5521 solver.cpp:449] Iteration 26880, lr = 0.0005
I0306 04:56:09.097101  5521 solver.cpp:188] Iteration 26920, loss = 1.49319
I0306 04:56:09.097187  5521 solver.cpp:203]     Train net output #0: loss = 1.49319 (* 1 = 1.49319 loss)
I0306 04:56:09.097203  5521 solver.cpp:449] Iteration 26920, lr = 0.0005
I0306 04:56:21.857317  5521 solver.cpp:188] Iteration 26960, loss = 1.40317
I0306 04:56:21.857374  5521 solver.cpp:203]     Train net output #0: loss = 1.40317 (* 1 = 1.40317 loss)
I0306 04:56:21.857388  5521 solver.cpp:449] Iteration 26960, lr = 0.0005
I0306 04:56:34.614550  5521 solver.cpp:188] Iteration 27000, loss = 1.35156
I0306 04:56:34.614608  5521 solver.cpp:203]     Train net output #0: loss = 1.35156 (* 1 = 1.35156 loss)
I0306 04:56:34.614622  5521 solver.cpp:449] Iteration 27000, lr = 0.0005
I0306 04:56:47.353440  5521 solver.cpp:188] Iteration 27040, loss = 1.54114
I0306 04:56:47.353538  5521 solver.cpp:203]     Train net output #0: loss = 1.54114 (* 1 = 1.54114 loss)
I0306 04:56:47.353555  5521 solver.cpp:449] Iteration 27040, lr = 0.0005
I0306 04:57:00.100837  5521 solver.cpp:188] Iteration 27080, loss = 1.58795
I0306 04:57:00.100894  5521 solver.cpp:203]     Train net output #0: loss = 1.58795 (* 1 = 1.58795 loss)
I0306 04:57:00.100911  5521 solver.cpp:449] Iteration 27080, lr = 0.0005
I0306 04:57:12.836189  5521 solver.cpp:188] Iteration 27120, loss = 1.44191
I0306 04:57:12.836246  5521 solver.cpp:203]     Train net output #0: loss = 1.44191 (* 1 = 1.44191 loss)
I0306 04:57:12.836263  5521 solver.cpp:449] Iteration 27120, lr = 0.0005
I0306 04:57:25.580696  5521 solver.cpp:188] Iteration 27160, loss = 1.56219
I0306 04:57:25.580840  5521 solver.cpp:203]     Train net output #0: loss = 1.56219 (* 1 = 1.56219 loss)
I0306 04:57:25.580859  5521 solver.cpp:449] Iteration 27160, lr = 0.0005
I0306 04:57:38.320629  5521 solver.cpp:188] Iteration 27200, loss = 1.66635
I0306 04:57:38.320689  5521 solver.cpp:203]     Train net output #0: loss = 1.66635 (* 1 = 1.66635 loss)
I0306 04:57:38.320706  5521 solver.cpp:449] Iteration 27200, lr = 0.0005
I0306 04:57:51.087368  5521 solver.cpp:188] Iteration 27240, loss = 1.50449
I0306 04:57:51.087422  5521 solver.cpp:203]     Train net output #0: loss = 1.50449 (* 1 = 1.50449 loss)
I0306 04:57:51.087438  5521 solver.cpp:449] Iteration 27240, lr = 0.0005
I0306 04:58:03.844612  5521 solver.cpp:188] Iteration 27280, loss = 1.42561
I0306 04:58:03.844727  5521 solver.cpp:203]     Train net output #0: loss = 1.42561 (* 1 = 1.42561 loss)
I0306 04:58:03.844745  5521 solver.cpp:449] Iteration 27280, lr = 0.0005
I0306 04:58:16.596865  5521 solver.cpp:188] Iteration 27320, loss = 1.51743
I0306 04:58:16.596920  5521 solver.cpp:203]     Train net output #0: loss = 1.51743 (* 1 = 1.51743 loss)
I0306 04:58:16.596936  5521 solver.cpp:449] Iteration 27320, lr = 0.0005
I0306 04:58:29.345039  5521 solver.cpp:188] Iteration 27360, loss = 1.51697
I0306 04:58:29.345101  5521 solver.cpp:203]     Train net output #0: loss = 1.51697 (* 1 = 1.51697 loss)
I0306 04:58:29.345116  5521 solver.cpp:449] Iteration 27360, lr = 0.0005
I0306 04:58:42.091107  5521 solver.cpp:188] Iteration 27400, loss = 1.45207
I0306 04:58:42.091222  5521 solver.cpp:203]     Train net output #0: loss = 1.45207 (* 1 = 1.45207 loss)
I0306 04:58:42.091239  5521 solver.cpp:449] Iteration 27400, lr = 0.0005
I0306 04:58:54.850380  5521 solver.cpp:188] Iteration 27440, loss = 1.37254
I0306 04:58:54.850440  5521 solver.cpp:203]     Train net output #0: loss = 1.37254 (* 1 = 1.37254 loss)
I0306 04:58:54.850456  5521 solver.cpp:449] Iteration 27440, lr = 0.0005
I0306 04:59:07.614526  5521 solver.cpp:188] Iteration 27480, loss = 1.59382
I0306 04:59:07.614584  5521 solver.cpp:203]     Train net output #0: loss = 1.59382 (* 1 = 1.59382 loss)
I0306 04:59:07.614599  5521 solver.cpp:449] Iteration 27480, lr = 0.0005
I0306 04:59:20.369266  5521 solver.cpp:188] Iteration 27520, loss = 1.41316
I0306 04:59:20.369366  5521 solver.cpp:203]     Train net output #0: loss = 1.41316 (* 1 = 1.41316 loss)
I0306 04:59:20.369384  5521 solver.cpp:449] Iteration 27520, lr = 0.0005
I0306 04:59:33.102110  5521 solver.cpp:188] Iteration 27560, loss = 1.55349
I0306 04:59:33.102166  5521 solver.cpp:203]     Train net output #0: loss = 1.55349 (* 1 = 1.55349 loss)
I0306 04:59:33.102182  5521 solver.cpp:449] Iteration 27560, lr = 0.0005
I0306 04:59:45.851982  5521 solver.cpp:188] Iteration 27600, loss = 1.41152
I0306 04:59:45.852036  5521 solver.cpp:203]     Train net output #0: loss = 1.41152 (* 1 = 1.41152 loss)
I0306 04:59:45.852053  5521 solver.cpp:449] Iteration 27600, lr = 0.0005
I0306 04:59:58.594565  5521 solver.cpp:188] Iteration 27640, loss = 1.43762
I0306 04:59:58.594683  5521 solver.cpp:203]     Train net output #0: loss = 1.43762 (* 1 = 1.43762 loss)
I0306 04:59:58.594702  5521 solver.cpp:449] Iteration 27640, lr = 0.0005
I0306 05:00:11.348238  5521 solver.cpp:188] Iteration 27680, loss = 1.385
I0306 05:00:11.348297  5521 solver.cpp:203]     Train net output #0: loss = 1.385 (* 1 = 1.385 loss)
I0306 05:00:11.348315  5521 solver.cpp:449] Iteration 27680, lr = 0.0005
I0306 05:00:24.090394  5521 solver.cpp:188] Iteration 27720, loss = 1.49595
I0306 05:00:24.090452  5521 solver.cpp:203]     Train net output #0: loss = 1.49595 (* 1 = 1.49595 loss)
I0306 05:00:24.090468  5521 solver.cpp:449] Iteration 27720, lr = 0.0005
I0306 05:00:36.825582  5521 solver.cpp:188] Iteration 27760, loss = 1.4592
I0306 05:00:36.825700  5521 solver.cpp:203]     Train net output #0: loss = 1.4592 (* 1 = 1.4592 loss)
I0306 05:00:36.825718  5521 solver.cpp:449] Iteration 27760, lr = 0.0005
I0306 05:00:49.571437  5521 solver.cpp:188] Iteration 27800, loss = 1.48115
I0306 05:00:49.571496  5521 solver.cpp:203]     Train net output #0: loss = 1.48115 (* 1 = 1.48115 loss)
I0306 05:00:49.571514  5521 solver.cpp:449] Iteration 27800, lr = 0.0005
I0306 05:01:02.328816  5521 solver.cpp:188] Iteration 27840, loss = 1.40551
I0306 05:01:02.328873  5521 solver.cpp:203]     Train net output #0: loss = 1.40551 (* 1 = 1.40551 loss)
I0306 05:01:02.328889  5521 solver.cpp:449] Iteration 27840, lr = 0.0005
I0306 05:01:15.081524  5521 solver.cpp:188] Iteration 27880, loss = 1.42883
I0306 05:01:15.081771  5521 solver.cpp:203]     Train net output #0: loss = 1.42883 (* 1 = 1.42883 loss)
I0306 05:01:15.081792  5521 solver.cpp:449] Iteration 27880, lr = 0.0005
I0306 05:01:27.805881  5521 solver.cpp:188] Iteration 27920, loss = 1.37803
I0306 05:01:27.805935  5521 solver.cpp:203]     Train net output #0: loss = 1.37803 (* 1 = 1.37803 loss)
I0306 05:01:27.805951  5521 solver.cpp:449] Iteration 27920, lr = 0.0005
I0306 05:01:40.556107  5521 solver.cpp:188] Iteration 27960, loss = 1.36547
I0306 05:01:40.556166  5521 solver.cpp:203]     Train net output #0: loss = 1.36547 (* 1 = 1.36547 loss)
I0306 05:01:40.556184  5521 solver.cpp:449] Iteration 27960, lr = 0.0005
I0306 05:01:53.290853  5521 solver.cpp:188] Iteration 28000, loss = 1.46408
I0306 05:01:53.290987  5521 solver.cpp:203]     Train net output #0: loss = 1.46408 (* 1 = 1.46408 loss)
I0306 05:01:53.291007  5521 solver.cpp:449] Iteration 28000, lr = 0.0005
I0306 05:02:06.033141  5521 solver.cpp:188] Iteration 28040, loss = 1.36074
I0306 05:02:06.033196  5521 solver.cpp:203]     Train net output #0: loss = 1.36074 (* 1 = 1.36074 loss)
I0306 05:02:06.033212  5521 solver.cpp:449] Iteration 28040, lr = 0.0005
I0306 05:02:18.775178  5521 solver.cpp:188] Iteration 28080, loss = 1.47704
I0306 05:02:18.775246  5521 solver.cpp:203]     Train net output #0: loss = 1.47704 (* 1 = 1.47704 loss)
I0306 05:02:18.775264  5521 solver.cpp:449] Iteration 28080, lr = 0.0005
I0306 05:02:31.523303  5521 solver.cpp:188] Iteration 28120, loss = 1.52696
I0306 05:02:31.523421  5521 solver.cpp:203]     Train net output #0: loss = 1.52696 (* 1 = 1.52696 loss)
I0306 05:02:31.523437  5521 solver.cpp:449] Iteration 28120, lr = 0.0005
I0306 05:02:44.263406  5521 solver.cpp:188] Iteration 28160, loss = 1.30893
I0306 05:02:44.263464  5521 solver.cpp:203]     Train net output #0: loss = 1.30893 (* 1 = 1.30893 loss)
I0306 05:02:44.263480  5521 solver.cpp:449] Iteration 28160, lr = 0.0005
I0306 05:02:57.020175  5521 solver.cpp:188] Iteration 28200, loss = 1.46299
I0306 05:02:57.020233  5521 solver.cpp:203]     Train net output #0: loss = 1.46299 (* 1 = 1.46299 loss)
I0306 05:02:57.020251  5521 solver.cpp:449] Iteration 28200, lr = 0.0005
I0306 05:03:09.764924  5521 solver.cpp:188] Iteration 28240, loss = 1.35866
I0306 05:03:09.765038  5521 solver.cpp:203]     Train net output #0: loss = 1.35866 (* 1 = 1.35866 loss)
I0306 05:03:09.765056  5521 solver.cpp:449] Iteration 28240, lr = 0.0005
I0306 05:03:22.517838  5521 solver.cpp:188] Iteration 28280, loss = 1.49108
I0306 05:03:22.517894  5521 solver.cpp:203]     Train net output #0: loss = 1.49108 (* 1 = 1.49108 loss)
I0306 05:03:22.517910  5521 solver.cpp:449] Iteration 28280, lr = 0.0005
I0306 05:03:35.257761  5521 solver.cpp:188] Iteration 28320, loss = 1.26479
I0306 05:03:35.257825  5521 solver.cpp:203]     Train net output #0: loss = 1.26479 (* 1 = 1.26479 loss)
I0306 05:03:35.257844  5521 solver.cpp:449] Iteration 28320, lr = 0.0005
I0306 05:03:48.023041  5521 solver.cpp:188] Iteration 28360, loss = 1.35401
I0306 05:03:48.023172  5521 solver.cpp:203]     Train net output #0: loss = 1.35401 (* 1 = 1.35401 loss)
I0306 05:03:48.023192  5521 solver.cpp:449] Iteration 28360, lr = 0.0005
I0306 05:04:00.760293  5521 solver.cpp:188] Iteration 28400, loss = 1.37528
I0306 05:04:00.760349  5521 solver.cpp:203]     Train net output #0: loss = 1.37528 (* 1 = 1.37528 loss)
I0306 05:04:00.760366  5521 solver.cpp:449] Iteration 28400, lr = 0.0005
I0306 05:04:13.544679  5521 solver.cpp:188] Iteration 28440, loss = 1.24683
I0306 05:04:13.544731  5521 solver.cpp:203]     Train net output #0: loss = 1.24683 (* 1 = 1.24683 loss)
I0306 05:04:13.544746  5521 solver.cpp:449] Iteration 28440, lr = 0.0005
I0306 05:04:26.275020  5521 solver.cpp:188] Iteration 28480, loss = 1.21466
I0306 05:04:26.275174  5521 solver.cpp:203]     Train net output #0: loss = 1.21466 (* 1 = 1.21466 loss)
I0306 05:04:26.275194  5521 solver.cpp:449] Iteration 28480, lr = 0.0005
I0306 05:04:39.006918  5521 solver.cpp:188] Iteration 28520, loss = 1.6247
I0306 05:04:39.006974  5521 solver.cpp:203]     Train net output #0: loss = 1.6247 (* 1 = 1.6247 loss)
I0306 05:04:39.006990  5521 solver.cpp:449] Iteration 28520, lr = 0.0005
I0306 05:04:51.759976  5521 solver.cpp:188] Iteration 28560, loss = 1.51873
I0306 05:04:51.760032  5521 solver.cpp:203]     Train net output #0: loss = 1.51873 (* 1 = 1.51873 loss)
I0306 05:04:51.760048  5521 solver.cpp:449] Iteration 28560, lr = 0.0005
I0306 05:05:04.506012  5521 solver.cpp:188] Iteration 28600, loss = 1.58595
I0306 05:05:04.506132  5521 solver.cpp:203]     Train net output #0: loss = 1.58595 (* 1 = 1.58595 loss)
I0306 05:05:04.506150  5521 solver.cpp:449] Iteration 28600, lr = 0.0005
I0306 05:05:17.247306  5521 solver.cpp:188] Iteration 28640, loss = 1.51682
I0306 05:05:17.247364  5521 solver.cpp:203]     Train net output #0: loss = 1.51682 (* 1 = 1.51682 loss)
I0306 05:05:17.247381  5521 solver.cpp:449] Iteration 28640, lr = 0.0005
I0306 05:05:29.979519  5521 solver.cpp:188] Iteration 28680, loss = 1.56243
I0306 05:05:29.979570  5521 solver.cpp:203]     Train net output #0: loss = 1.56243 (* 1 = 1.56243 loss)
I0306 05:05:29.979585  5521 solver.cpp:449] Iteration 28680, lr = 0.0005
I0306 05:05:42.724413  5521 solver.cpp:188] Iteration 28720, loss = 1.6744
I0306 05:05:42.724527  5521 solver.cpp:203]     Train net output #0: loss = 1.6744 (* 1 = 1.6744 loss)
I0306 05:05:42.724555  5521 solver.cpp:449] Iteration 28720, lr = 0.0005
I0306 05:05:55.461055  5521 solver.cpp:188] Iteration 28760, loss = 1.5868
I0306 05:05:55.461112  5521 solver.cpp:203]     Train net output #0: loss = 1.5868 (* 1 = 1.5868 loss)
I0306 05:05:55.461129  5521 solver.cpp:449] Iteration 28760, lr = 0.0005
I0306 05:06:08.202822  5521 solver.cpp:188] Iteration 28800, loss = 1.49108
I0306 05:06:08.202889  5521 solver.cpp:203]     Train net output #0: loss = 1.49108 (* 1 = 1.49108 loss)
I0306 05:06:08.202908  5521 solver.cpp:449] Iteration 28800, lr = 0.0005
I0306 05:06:20.936262  5521 solver.cpp:188] Iteration 28840, loss = 1.56373
I0306 05:06:20.936380  5521 solver.cpp:203]     Train net output #0: loss = 1.56373 (* 1 = 1.56373 loss)
I0306 05:06:20.936398  5521 solver.cpp:449] Iteration 28840, lr = 0.0005
I0306 05:06:33.680416  5521 solver.cpp:188] Iteration 28880, loss = 1.60354
I0306 05:06:33.680477  5521 solver.cpp:203]     Train net output #0: loss = 1.60354 (* 1 = 1.60354 loss)
I0306 05:06:33.680495  5521 solver.cpp:449] Iteration 28880, lr = 0.0005
I0306 05:06:46.437083  5521 solver.cpp:188] Iteration 28920, loss = 1.59544
I0306 05:06:46.437139  5521 solver.cpp:203]     Train net output #0: loss = 1.59544 (* 1 = 1.59544 loss)
I0306 05:06:46.437155  5521 solver.cpp:449] Iteration 28920, lr = 0.0005
I0306 05:06:59.184666  5521 solver.cpp:188] Iteration 28960, loss = 1.52642
I0306 05:06:59.184792  5521 solver.cpp:203]     Train net output #0: loss = 1.52642 (* 1 = 1.52642 loss)
I0306 05:06:59.184813  5521 solver.cpp:449] Iteration 28960, lr = 0.0005
I0306 05:07:11.925237  5521 solver.cpp:188] Iteration 29000, loss = 1.52574
I0306 05:07:11.925293  5521 solver.cpp:203]     Train net output #0: loss = 1.52574 (* 1 = 1.52574 loss)
I0306 05:07:11.925309  5521 solver.cpp:449] Iteration 29000, lr = 0.0005
I0306 05:07:24.681430  5521 solver.cpp:188] Iteration 29040, loss = 1.7384
I0306 05:07:24.681488  5521 solver.cpp:203]     Train net output #0: loss = 1.7384 (* 1 = 1.7384 loss)
I0306 05:07:24.681504  5521 solver.cpp:449] Iteration 29040, lr = 0.0005
I0306 05:07:37.453023  5521 solver.cpp:188] Iteration 29080, loss = 1.56831
I0306 05:07:37.453119  5521 solver.cpp:203]     Train net output #0: loss = 1.56831 (* 1 = 1.56831 loss)
I0306 05:07:37.453140  5521 solver.cpp:449] Iteration 29080, lr = 0.0005
I0306 05:07:50.216867  5521 solver.cpp:188] Iteration 29120, loss = 1.64361
I0306 05:07:50.216928  5521 solver.cpp:203]     Train net output #0: loss = 1.64361 (* 1 = 1.64361 loss)
I0306 05:07:50.216944  5521 solver.cpp:449] Iteration 29120, lr = 0.0005
I0306 05:08:02.961125  5521 solver.cpp:188] Iteration 29160, loss = 1.53409
I0306 05:08:02.961186  5521 solver.cpp:203]     Train net output #0: loss = 1.53409 (* 1 = 1.53409 loss)
I0306 05:08:02.961204  5521 solver.cpp:449] Iteration 29160, lr = 0.0005
I0306 05:08:15.715296  5521 solver.cpp:188] Iteration 29200, loss = 1.65807
I0306 05:08:15.715420  5521 solver.cpp:203]     Train net output #0: loss = 1.65807 (* 1 = 1.65807 loss)
I0306 05:08:15.715438  5521 solver.cpp:449] Iteration 29200, lr = 0.0005
I0306 05:08:28.466759  5521 solver.cpp:188] Iteration 29240, loss = 1.59583
I0306 05:08:28.466828  5521 solver.cpp:203]     Train net output #0: loss = 1.59583 (* 1 = 1.59583 loss)
I0306 05:08:28.466846  5521 solver.cpp:449] Iteration 29240, lr = 0.0005
I0306 05:08:41.211534  5521 solver.cpp:188] Iteration 29280, loss = 1.52341
I0306 05:08:41.211592  5521 solver.cpp:203]     Train net output #0: loss = 1.52341 (* 1 = 1.52341 loss)
I0306 05:08:41.211609  5521 solver.cpp:449] Iteration 29280, lr = 0.0005
I0306 05:08:53.963963  5521 solver.cpp:188] Iteration 29320, loss = 1.51391
I0306 05:08:53.964077  5521 solver.cpp:203]     Train net output #0: loss = 1.51391 (* 1 = 1.51391 loss)
I0306 05:08:53.964095  5521 solver.cpp:449] Iteration 29320, lr = 0.0005
I0306 05:09:06.715594  5521 solver.cpp:188] Iteration 29360, loss = 1.4992
I0306 05:09:06.715651  5521 solver.cpp:203]     Train net output #0: loss = 1.4992 (* 1 = 1.4992 loss)
I0306 05:09:06.715667  5521 solver.cpp:449] Iteration 29360, lr = 0.0005
I0306 05:09:19.462296  5521 solver.cpp:188] Iteration 29400, loss = 1.46522
I0306 05:09:19.462355  5521 solver.cpp:203]     Train net output #0: loss = 1.46522 (* 1 = 1.46522 loss)
I0306 05:09:19.462371  5521 solver.cpp:449] Iteration 29400, lr = 0.0005
I0306 05:09:32.238224  5521 solver.cpp:188] Iteration 29440, loss = 1.40009
I0306 05:09:32.238348  5521 solver.cpp:203]     Train net output #0: loss = 1.40009 (* 1 = 1.40009 loss)
I0306 05:09:32.238368  5521 solver.cpp:449] Iteration 29440, lr = 0.0005
I0306 05:09:45.006664  5521 solver.cpp:188] Iteration 29480, loss = 1.62566
I0306 05:09:45.006731  5521 solver.cpp:203]     Train net output #0: loss = 1.62566 (* 1 = 1.62566 loss)
I0306 05:09:45.006747  5521 solver.cpp:449] Iteration 29480, lr = 0.0005
I0306 05:09:57.736249  5521 solver.cpp:188] Iteration 29520, loss = 1.60562
I0306 05:09:57.736304  5521 solver.cpp:203]     Train net output #0: loss = 1.60562 (* 1 = 1.60562 loss)
I0306 05:09:57.736320  5521 solver.cpp:449] Iteration 29520, lr = 0.0005
I0306 05:10:10.501886  5521 solver.cpp:188] Iteration 29560, loss = 1.4452
I0306 05:10:10.502002  5521 solver.cpp:203]     Train net output #0: loss = 1.4452 (* 1 = 1.4452 loss)
I0306 05:10:10.502018  5521 solver.cpp:449] Iteration 29560, lr = 0.0005
I0306 05:10:23.255902  5521 solver.cpp:188] Iteration 29600, loss = 1.54679
I0306 05:10:23.255960  5521 solver.cpp:203]     Train net output #0: loss = 1.54679 (* 1 = 1.54679 loss)
I0306 05:10:23.255977  5521 solver.cpp:449] Iteration 29600, lr = 0.0005
I0306 05:10:35.991751  5521 solver.cpp:188] Iteration 29640, loss = 1.54719
I0306 05:10:35.991813  5521 solver.cpp:203]     Train net output #0: loss = 1.54719 (* 1 = 1.54719 loss)
I0306 05:10:35.991832  5521 solver.cpp:449] Iteration 29640, lr = 0.0005
I0306 05:10:48.743974  5521 solver.cpp:188] Iteration 29680, loss = 1.39947
I0306 05:10:48.744093  5521 solver.cpp:203]     Train net output #0: loss = 1.39947 (* 1 = 1.39947 loss)
I0306 05:10:48.744112  5521 solver.cpp:449] Iteration 29680, lr = 0.0005
I0306 05:11:01.485177  5521 solver.cpp:188] Iteration 29720, loss = 1.54649
I0306 05:11:01.485242  5521 solver.cpp:203]     Train net output #0: loss = 1.54649 (* 1 = 1.54649 loss)
I0306 05:11:01.485260  5521 solver.cpp:449] Iteration 29720, lr = 0.0005
I0306 05:11:14.243705  5521 solver.cpp:188] Iteration 29760, loss = 1.5059
I0306 05:11:14.243762  5521 solver.cpp:203]     Train net output #0: loss = 1.5059 (* 1 = 1.5059 loss)
I0306 05:11:14.243778  5521 solver.cpp:449] Iteration 29760, lr = 0.0005
I0306 05:11:26.983345  5521 solver.cpp:188] Iteration 29800, loss = 1.53949
I0306 05:11:26.983491  5521 solver.cpp:203]     Train net output #0: loss = 1.53949 (* 1 = 1.53949 loss)
I0306 05:11:26.983510  5521 solver.cpp:449] Iteration 29800, lr = 0.0005
I0306 05:11:39.732465  5521 solver.cpp:188] Iteration 29840, loss = 1.39184
I0306 05:11:39.732532  5521 solver.cpp:203]     Train net output #0: loss = 1.39184 (* 1 = 1.39184 loss)
I0306 05:11:39.732550  5521 solver.cpp:449] Iteration 29840, lr = 0.0005
I0306 05:11:52.479156  5521 solver.cpp:188] Iteration 29880, loss = 1.48392
I0306 05:11:52.479212  5521 solver.cpp:203]     Train net output #0: loss = 1.48392 (* 1 = 1.48392 loss)
I0306 05:11:52.479228  5521 solver.cpp:449] Iteration 29880, lr = 0.0005
I0306 05:12:05.218118  5521 solver.cpp:188] Iteration 29920, loss = 1.47902
I0306 05:12:05.218240  5521 solver.cpp:203]     Train net output #0: loss = 1.47902 (* 1 = 1.47902 loss)
I0306 05:12:05.218260  5521 solver.cpp:449] Iteration 29920, lr = 0.0005
I0306 05:12:17.951179  5521 solver.cpp:188] Iteration 29960, loss = 1.60847
I0306 05:12:17.951236  5521 solver.cpp:203]     Train net output #0: loss = 1.60847 (* 1 = 1.60847 loss)
I0306 05:12:17.951252  5521 solver.cpp:449] Iteration 29960, lr = 0.0005
I0306 05:12:31.001387  5521 solver.cpp:337] Snapshotting to cache/lsp/lsp_iter_30000.caffemodel
I0306 05:12:32.166820  5521 solver.cpp:345] Snapshotting solver state to cache/lsp/lsp_iter_30000.solverstate
I0306 05:12:32.921103  5521 solver.cpp:266] Iteration 30000, Testing net (#0)
I0306 05:12:49.761221  5521 solver.cpp:317]     Test net output #0: accuracy = 0.556077
I0306 05:12:49.761327  5521 solver.cpp:317]     Test net output #1: loss = 1.67846 (* 1 = 1.67846 loss)
I0306 05:12:49.855432  5521 solver.cpp:188] Iteration 30000, loss = 1.44798
I0306 05:12:49.855485  5521 solver.cpp:203]     Train net output #0: loss = 1.44798 (* 1 = 1.44798 loss)
I0306 05:12:49.855501  5521 solver.cpp:449] Iteration 30000, lr = 0.0005
I0306 05:13:02.229109  5521 solver.cpp:188] Iteration 30040, loss = 1.49722
I0306 05:13:02.229166  5521 solver.cpp:203]     Train net output #0: loss = 1.49722 (* 1 = 1.49722 loss)
I0306 05:13:02.229182  5521 solver.cpp:449] Iteration 30040, lr = 0.0005
I0306 05:13:15.308178  5521 solver.cpp:188] Iteration 30080, loss = 1.50642
I0306 05:13:15.308235  5521 solver.cpp:203]     Train net output #0: loss = 1.50642 (* 1 = 1.50642 loss)
I0306 05:13:15.308251  5521 solver.cpp:449] Iteration 30080, lr = 0.0005
I0306 05:13:28.041520  5521 solver.cpp:188] Iteration 30120, loss = 1.5547
I0306 05:13:28.041645  5521 solver.cpp:203]     Train net output #0: loss = 1.5547 (* 1 = 1.5547 loss)
I0306 05:13:28.041664  5521 solver.cpp:449] Iteration 30120, lr = 0.0005
I0306 05:13:40.704083  5521 solver.cpp:188] Iteration 30160, loss = 1.71592
I0306 05:13:40.704144  5521 solver.cpp:203]     Train net output #0: loss = 1.71592 (* 1 = 1.71592 loss)
I0306 05:13:40.704160  5521 solver.cpp:449] Iteration 30160, lr = 0.0005
I0306 05:13:53.343492  5521 solver.cpp:188] Iteration 30200, loss = 1.39191
I0306 05:13:53.343551  5521 solver.cpp:203]     Train net output #0: loss = 1.39191 (* 1 = 1.39191 loss)
I0306 05:13:53.343569  5521 solver.cpp:449] Iteration 30200, lr = 0.0005
I0306 05:14:06.085682  5521 solver.cpp:188] Iteration 30240, loss = 1.55931
I0306 05:14:06.085783  5521 solver.cpp:203]     Train net output #0: loss = 1.55931 (* 1 = 1.55931 loss)
I0306 05:14:06.085803  5521 solver.cpp:449] Iteration 30240, lr = 0.0005
I0306 05:14:18.872871  5521 solver.cpp:188] Iteration 30280, loss = 1.38574
I0306 05:14:18.872931  5521 solver.cpp:203]     Train net output #0: loss = 1.38574 (* 1 = 1.38574 loss)
I0306 05:14:18.872947  5521 solver.cpp:449] Iteration 30280, lr = 0.0005
I0306 05:14:31.633538  5521 solver.cpp:188] Iteration 30320, loss = 1.5337
I0306 05:14:31.633597  5521 solver.cpp:203]     Train net output #0: loss = 1.5337 (* 1 = 1.5337 loss)
I0306 05:14:31.633615  5521 solver.cpp:449] Iteration 30320, lr = 0.0005
I0306 05:14:44.386349  5521 solver.cpp:188] Iteration 30360, loss = 1.56946
I0306 05:14:44.386481  5521 solver.cpp:203]     Train net output #0: loss = 1.56946 (* 1 = 1.56946 loss)
I0306 05:14:44.386499  5521 solver.cpp:449] Iteration 30360, lr = 0.0005
I0306 05:14:57.237684  5521 solver.cpp:188] Iteration 30400, loss = 1.56133
I0306 05:14:57.237746  5521 solver.cpp:203]     Train net output #0: loss = 1.56133 (* 1 = 1.56133 loss)
I0306 05:14:57.237762  5521 solver.cpp:449] Iteration 30400, lr = 0.0005
I0306 05:15:10.135222  5521 solver.cpp:188] Iteration 30440, loss = 1.52919
I0306 05:15:10.135279  5521 solver.cpp:203]     Train net output #0: loss = 1.52919 (* 1 = 1.52919 loss)
I0306 05:15:10.135296  5521 solver.cpp:449] Iteration 30440, lr = 0.0005
I0306 05:15:23.015983  5521 solver.cpp:188] Iteration 30480, loss = 1.5101
I0306 05:15:23.016108  5521 solver.cpp:203]     Train net output #0: loss = 1.5101 (* 1 = 1.5101 loss)
I0306 05:15:23.016129  5521 solver.cpp:449] Iteration 30480, lr = 0.0005
I0306 05:15:35.891317  5521 solver.cpp:188] Iteration 30520, loss = 1.5104
I0306 05:15:35.891378  5521 solver.cpp:203]     Train net output #0: loss = 1.5104 (* 1 = 1.5104 loss)
I0306 05:15:35.891397  5521 solver.cpp:449] Iteration 30520, lr = 0.0005
I0306 05:15:48.785464  5521 solver.cpp:188] Iteration 30560, loss = 1.36528
I0306 05:15:48.785521  5521 solver.cpp:203]     Train net output #0: loss = 1.36528 (* 1 = 1.36528 loss)
I0306 05:15:48.785537  5521 solver.cpp:449] Iteration 30560, lr = 0.0005
I0306 05:16:01.764794  5521 solver.cpp:188] Iteration 30600, loss = 1.39254
I0306 05:16:01.764897  5521 solver.cpp:203]     Train net output #0: loss = 1.39254 (* 1 = 1.39254 loss)
I0306 05:16:01.764917  5521 solver.cpp:449] Iteration 30600, lr = 0.0005
I0306 05:16:14.657771  5521 solver.cpp:188] Iteration 30640, loss = 1.56444
I0306 05:16:14.657827  5521 solver.cpp:203]     Train net output #0: loss = 1.56444 (* 1 = 1.56444 loss)
I0306 05:16:14.657843  5521 solver.cpp:449] Iteration 30640, lr = 0.0005
I0306 05:16:27.531532  5521 solver.cpp:188] Iteration 30680, loss = 1.56189
I0306 05:16:27.531585  5521 solver.cpp:203]     Train net output #0: loss = 1.56189 (* 1 = 1.56189 loss)
I0306 05:16:27.531601  5521 solver.cpp:449] Iteration 30680, lr = 0.0005
I0306 05:16:40.399552  5521 solver.cpp:188] Iteration 30720, loss = 1.45693
I0306 05:16:40.399655  5521 solver.cpp:203]     Train net output #0: loss = 1.45693 (* 1 = 1.45693 loss)
I0306 05:16:40.399675  5521 solver.cpp:449] Iteration 30720, lr = 0.0005
I0306 05:16:53.277261  5521 solver.cpp:188] Iteration 30760, loss = 1.38892
I0306 05:16:53.277318  5521 solver.cpp:203]     Train net output #0: loss = 1.38892 (* 1 = 1.38892 loss)
I0306 05:16:53.277334  5521 solver.cpp:449] Iteration 30760, lr = 0.0005
I0306 05:17:06.155313  5521 solver.cpp:188] Iteration 30800, loss = 1.42983
I0306 05:17:06.155369  5521 solver.cpp:203]     Train net output #0: loss = 1.42983 (* 1 = 1.42983 loss)
I0306 05:17:06.155385  5521 solver.cpp:449] Iteration 30800, lr = 0.0005
I0306 05:17:19.027878  5521 solver.cpp:188] Iteration 30840, loss = 1.49598
I0306 05:17:19.027999  5521 solver.cpp:203]     Train net output #0: loss = 1.49598 (* 1 = 1.49598 loss)
I0306 05:17:19.028017  5521 solver.cpp:449] Iteration 30840, lr = 0.0005
I0306 05:17:31.908305  5521 solver.cpp:188] Iteration 30880, loss = 1.48587
I0306 05:17:31.908363  5521 solver.cpp:203]     Train net output #0: loss = 1.48587 (* 1 = 1.48587 loss)
I0306 05:17:31.908380  5521 solver.cpp:449] Iteration 30880, lr = 0.0005
I0306 05:17:44.785809  5521 solver.cpp:188] Iteration 30920, loss = 1.48388
I0306 05:17:44.785869  5521 solver.cpp:203]     Train net output #0: loss = 1.48388 (* 1 = 1.48388 loss)
I0306 05:17:44.785887  5521 solver.cpp:449] Iteration 30920, lr = 0.0005
I0306 05:17:57.697376  5521 solver.cpp:188] Iteration 30960, loss = 1.51693
I0306 05:17:57.697523  5521 solver.cpp:203]     Train net output #0: loss = 1.51693 (* 1 = 1.51693 loss)
I0306 05:17:57.697545  5521 solver.cpp:449] Iteration 30960, lr = 0.0005
I0306 05:18:10.587170  5521 solver.cpp:188] Iteration 31000, loss = 1.41408
I0306 05:18:10.587225  5521 solver.cpp:203]     Train net output #0: loss = 1.41408 (* 1 = 1.41408 loss)
I0306 05:18:10.587242  5521 solver.cpp:449] Iteration 31000, lr = 0.0005
I0306 05:18:23.470439  5521 solver.cpp:188] Iteration 31040, loss = 1.49705
I0306 05:18:23.470500  5521 solver.cpp:203]     Train net output #0: loss = 1.49705 (* 1 = 1.49705 loss)
I0306 05:18:23.470518  5521 solver.cpp:449] Iteration 31040, lr = 0.0005
I0306 05:18:36.356580  5521 solver.cpp:188] Iteration 31080, loss = 1.62457
I0306 05:18:36.356701  5521 solver.cpp:203]     Train net output #0: loss = 1.62457 (* 1 = 1.62457 loss)
I0306 05:18:36.356721  5521 solver.cpp:449] Iteration 31080, lr = 0.0005
I0306 05:18:49.240515  5521 solver.cpp:188] Iteration 31120, loss = 1.45328
I0306 05:18:49.240571  5521 solver.cpp:203]     Train net output #0: loss = 1.45328 (* 1 = 1.45328 loss)
I0306 05:18:49.240586  5521 solver.cpp:449] Iteration 31120, lr = 0.0005
I0306 05:19:02.126431  5521 solver.cpp:188] Iteration 31160, loss = 1.31992
I0306 05:19:02.126490  5521 solver.cpp:203]     Train net output #0: loss = 1.31992 (* 1 = 1.31992 loss)
I0306 05:19:02.126507  5521 solver.cpp:449] Iteration 31160, lr = 0.0005
I0306 05:19:15.012097  5521 solver.cpp:188] Iteration 31200, loss = 1.44713
I0306 05:19:15.012217  5521 solver.cpp:203]     Train net output #0: loss = 1.44713 (* 1 = 1.44713 loss)
I0306 05:19:15.012235  5521 solver.cpp:449] Iteration 31200, lr = 0.0005
I0306 05:19:27.898947  5521 solver.cpp:188] Iteration 31240, loss = 1.58522
I0306 05:19:27.899008  5521 solver.cpp:203]     Train net output #0: loss = 1.58522 (* 1 = 1.58522 loss)
I0306 05:19:27.899025  5521 solver.cpp:449] Iteration 31240, lr = 0.0005
I0306 05:19:40.803488  5521 solver.cpp:188] Iteration 31280, loss = 1.51052
I0306 05:19:40.803544  5521 solver.cpp:203]     Train net output #0: loss = 1.51052 (* 1 = 1.51052 loss)
I0306 05:19:40.803560  5521 solver.cpp:449] Iteration 31280, lr = 0.0005
I0306 05:19:53.705503  5521 solver.cpp:188] Iteration 31320, loss = 1.46038
I0306 05:19:53.705639  5521 solver.cpp:203]     Train net output #0: loss = 1.46038 (* 1 = 1.46038 loss)
I0306 05:19:53.705659  5521 solver.cpp:449] Iteration 31320, lr = 0.0005
I0306 05:20:06.610791  5521 solver.cpp:188] Iteration 31360, loss = 1.4369
I0306 05:20:06.610848  5521 solver.cpp:203]     Train net output #0: loss = 1.4369 (* 1 = 1.4369 loss)
I0306 05:20:06.610864  5521 solver.cpp:449] Iteration 31360, lr = 0.0005
I0306 05:20:19.508781  5521 solver.cpp:188] Iteration 31400, loss = 1.42355
I0306 05:20:19.508849  5521 solver.cpp:203]     Train net output #0: loss = 1.42355 (* 1 = 1.42355 loss)
I0306 05:20:19.508868  5521 solver.cpp:449] Iteration 31400, lr = 0.0005
I0306 05:20:32.388453  5521 solver.cpp:188] Iteration 31440, loss = 1.54624
I0306 05:20:32.388572  5521 solver.cpp:203]     Train net output #0: loss = 1.54624 (* 1 = 1.54624 loss)
I0306 05:20:32.388591  5521 solver.cpp:449] Iteration 31440, lr = 0.0005
I0306 05:20:45.268441  5521 solver.cpp:188] Iteration 31480, loss = 1.30405
I0306 05:20:45.268497  5521 solver.cpp:203]     Train net output #0: loss = 1.30405 (* 1 = 1.30405 loss)
I0306 05:20:45.268514  5521 solver.cpp:449] Iteration 31480, lr = 0.0005
I0306 05:20:58.171458  5521 solver.cpp:188] Iteration 31520, loss = 1.40465
I0306 05:20:58.171514  5521 solver.cpp:203]     Train net output #0: loss = 1.40465 (* 1 = 1.40465 loss)
I0306 05:20:58.171530  5521 solver.cpp:449] Iteration 31520, lr = 0.0005
I0306 05:21:11.068584  5521 solver.cpp:188] Iteration 31560, loss = 1.44999
I0306 05:21:11.068706  5521 solver.cpp:203]     Train net output #0: loss = 1.44999 (* 1 = 1.44999 loss)
I0306 05:21:11.068727  5521 solver.cpp:449] Iteration 31560, lr = 0.0005
I0306 05:21:23.965136  5521 solver.cpp:188] Iteration 31600, loss = 1.54501
I0306 05:21:23.965191  5521 solver.cpp:203]     Train net output #0: loss = 1.54501 (* 1 = 1.54501 loss)
I0306 05:21:23.965209  5521 solver.cpp:449] Iteration 31600, lr = 0.0005
I0306 05:21:36.865288  5521 solver.cpp:188] Iteration 31640, loss = 1.54351
I0306 05:21:36.865350  5521 solver.cpp:203]     Train net output #0: loss = 1.54351 (* 1 = 1.54351 loss)
I0306 05:21:36.865365  5521 solver.cpp:449] Iteration 31640, lr = 0.0005
I0306 05:21:49.775751  5521 solver.cpp:188] Iteration 31680, loss = 1.34484
I0306 05:21:49.775903  5521 solver.cpp:203]     Train net output #0: loss = 1.34484 (* 1 = 1.34484 loss)
I0306 05:21:49.775924  5521 solver.cpp:449] Iteration 31680, lr = 0.0005
I0306 05:22:03.014674  5521 solver.cpp:188] Iteration 31720, loss = 1.43829
I0306 05:22:03.014734  5521 solver.cpp:203]     Train net output #0: loss = 1.43829 (* 1 = 1.43829 loss)
I0306 05:22:03.014751  5521 solver.cpp:449] Iteration 31720, lr = 0.0005
I0306 05:22:15.655033  5521 solver.cpp:188] Iteration 31760, loss = 1.35107
I0306 05:22:15.655092  5521 solver.cpp:203]     Train net output #0: loss = 1.35107 (* 1 = 1.35107 loss)
I0306 05:22:15.655107  5521 solver.cpp:449] Iteration 31760, lr = 0.0005
I0306 05:22:28.384742  5521 solver.cpp:188] Iteration 31800, loss = 1.32785
I0306 05:22:28.384860  5521 solver.cpp:203]     Train net output #0: loss = 1.32785 (* 1 = 1.32785 loss)
I0306 05:22:28.384879  5521 solver.cpp:449] Iteration 31800, lr = 0.0005
I0306 05:22:41.127171  5521 solver.cpp:188] Iteration 31840, loss = 1.386
I0306 05:22:41.127224  5521 solver.cpp:203]     Train net output #0: loss = 1.386 (* 1 = 1.386 loss)
I0306 05:22:41.127240  5521 solver.cpp:449] Iteration 31840, lr = 0.0005
I0306 05:22:53.881621  5521 solver.cpp:188] Iteration 31880, loss = 1.55555
I0306 05:22:53.881680  5521 solver.cpp:203]     Train net output #0: loss = 1.55555 (* 1 = 1.55555 loss)
I0306 05:22:53.881695  5521 solver.cpp:449] Iteration 31880, lr = 0.0005
I0306 05:23:06.616386  5521 solver.cpp:188] Iteration 31920, loss = 1.37255
I0306 05:23:06.616503  5521 solver.cpp:203]     Train net output #0: loss = 1.37255 (* 1 = 1.37255 loss)
I0306 05:23:06.616523  5521 solver.cpp:449] Iteration 31920, lr = 0.0005
I0306 05:23:19.374013  5521 solver.cpp:188] Iteration 31960, loss = 1.32869
I0306 05:23:19.374070  5521 solver.cpp:203]     Train net output #0: loss = 1.32869 (* 1 = 1.32869 loss)
I0306 05:23:19.374088  5521 solver.cpp:449] Iteration 31960, lr = 0.0005
I0306 05:23:32.112290  5521 solver.cpp:188] Iteration 32000, loss = 1.43882
I0306 05:23:32.112347  5521 solver.cpp:203]     Train net output #0: loss = 1.43882 (* 1 = 1.43882 loss)
I0306 05:23:32.112365  5521 solver.cpp:449] Iteration 32000, lr = 0.0005
I0306 05:23:44.867300  5521 solver.cpp:188] Iteration 32040, loss = 1.39104
I0306 05:23:44.867420  5521 solver.cpp:203]     Train net output #0: loss = 1.39104 (* 1 = 1.39104 loss)
I0306 05:23:44.867439  5521 solver.cpp:449] Iteration 32040, lr = 0.0005
I0306 05:23:57.631113  5521 solver.cpp:188] Iteration 32080, loss = 1.52519
I0306 05:23:57.631171  5521 solver.cpp:203]     Train net output #0: loss = 1.52519 (* 1 = 1.52519 loss)
I0306 05:23:57.631188  5521 solver.cpp:449] Iteration 32080, lr = 0.0005
I0306 05:24:10.389698  5521 solver.cpp:188] Iteration 32120, loss = 1.36772
I0306 05:24:10.389757  5521 solver.cpp:203]     Train net output #0: loss = 1.36772 (* 1 = 1.36772 loss)
I0306 05:24:10.389775  5521 solver.cpp:449] Iteration 32120, lr = 0.0005
I0306 05:24:23.125928  5521 solver.cpp:188] Iteration 32160, loss = 1.42829
I0306 05:24:23.126057  5521 solver.cpp:203]     Train net output #0: loss = 1.42829 (* 1 = 1.42829 loss)
I0306 05:24:23.126076  5521 solver.cpp:449] Iteration 32160, lr = 0.0005
I0306 05:24:35.860839  5521 solver.cpp:188] Iteration 32200, loss = 1.29351
I0306 05:24:35.860893  5521 solver.cpp:203]     Train net output #0: loss = 1.29351 (* 1 = 1.29351 loss)
I0306 05:24:35.860908  5521 solver.cpp:449] Iteration 32200, lr = 0.0005
I0306 05:24:48.608047  5521 solver.cpp:188] Iteration 32240, loss = 1.37139
I0306 05:24:48.608103  5521 solver.cpp:203]     Train net output #0: loss = 1.37139 (* 1 = 1.37139 loss)
I0306 05:24:48.608119  5521 solver.cpp:449] Iteration 32240, lr = 0.0005
I0306 05:25:01.360260  5521 solver.cpp:188] Iteration 32280, loss = 1.38012
I0306 05:25:01.360420  5521 solver.cpp:203]     Train net output #0: loss = 1.38012 (* 1 = 1.38012 loss)
I0306 05:25:01.360440  5521 solver.cpp:449] Iteration 32280, lr = 0.0005
I0306 05:25:14.106904  5521 solver.cpp:188] Iteration 32320, loss = 1.3937
I0306 05:25:14.106961  5521 solver.cpp:203]     Train net output #0: loss = 1.3937 (* 1 = 1.3937 loss)
I0306 05:25:14.106976  5521 solver.cpp:449] Iteration 32320, lr = 0.0005
I0306 05:25:26.858896  5521 solver.cpp:188] Iteration 32360, loss = 1.15417
I0306 05:25:26.858947  5521 solver.cpp:203]     Train net output #0: loss = 1.15417 (* 1 = 1.15417 loss)
I0306 05:25:26.858963  5521 solver.cpp:449] Iteration 32360, lr = 0.0005
I0306 05:25:39.596603  5521 solver.cpp:188] Iteration 32400, loss = 1.33885
I0306 05:25:39.596736  5521 solver.cpp:203]     Train net output #0: loss = 1.33885 (* 1 = 1.33885 loss)
I0306 05:25:39.596758  5521 solver.cpp:449] Iteration 32400, lr = 0.0005
I0306 05:25:52.349669  5521 solver.cpp:188] Iteration 32440, loss = 1.35083
I0306 05:25:52.349727  5521 solver.cpp:203]     Train net output #0: loss = 1.35083 (* 1 = 1.35083 loss)
I0306 05:25:52.349742  5521 solver.cpp:449] Iteration 32440, lr = 0.0005
I0306 05:26:05.162499  5521 solver.cpp:188] Iteration 32480, loss = 1.39352
I0306 05:26:05.162562  5521 solver.cpp:203]     Train net output #0: loss = 1.39352 (* 1 = 1.39352 loss)
I0306 05:26:05.162580  5521 solver.cpp:449] Iteration 32480, lr = 0.0005
I0306 05:26:17.919338  5521 solver.cpp:188] Iteration 32520, loss = 1.28803
I0306 05:26:17.919479  5521 solver.cpp:203]     Train net output #0: loss = 1.28803 (* 1 = 1.28803 loss)
I0306 05:26:17.919500  5521 solver.cpp:449] Iteration 32520, lr = 0.0005
I0306 05:26:30.688338  5521 solver.cpp:188] Iteration 32560, loss = 1.2624
I0306 05:26:30.688396  5521 solver.cpp:203]     Train net output #0: loss = 1.2624 (* 1 = 1.2624 loss)
I0306 05:26:30.688410  5521 solver.cpp:449] Iteration 32560, lr = 0.0005
I0306 05:26:43.442361  5521 solver.cpp:188] Iteration 32600, loss = 1.50011
I0306 05:26:43.442416  5521 solver.cpp:203]     Train net output #0: loss = 1.50011 (* 1 = 1.50011 loss)
I0306 05:26:43.442430  5521 solver.cpp:449] Iteration 32600, lr = 0.0005
I0306 05:26:56.207664  5521 solver.cpp:188] Iteration 32640, loss = 1.3444
I0306 05:26:56.207770  5521 solver.cpp:203]     Train net output #0: loss = 1.3444 (* 1 = 1.3444 loss)
I0306 05:26:56.207785  5521 solver.cpp:449] Iteration 32640, lr = 0.0005
I0306 05:27:08.970811  5521 solver.cpp:188] Iteration 32680, loss = 1.23059
I0306 05:27:08.970873  5521 solver.cpp:203]     Train net output #0: loss = 1.23059 (* 1 = 1.23059 loss)
I0306 05:27:08.970897  5521 solver.cpp:449] Iteration 32680, lr = 0.0005
I0306 05:27:21.754760  5521 solver.cpp:188] Iteration 32720, loss = 1.25553
I0306 05:27:21.754815  5521 solver.cpp:203]     Train net output #0: loss = 1.25553 (* 1 = 1.25553 loss)
I0306 05:27:21.754830  5521 solver.cpp:449] Iteration 32720, lr = 0.0005
I0306 05:27:34.493732  5521 solver.cpp:188] Iteration 32760, loss = 1.53468
I0306 05:27:34.493842  5521 solver.cpp:203]     Train net output #0: loss = 1.53468 (* 1 = 1.53468 loss)
I0306 05:27:34.493860  5521 solver.cpp:449] Iteration 32760, lr = 0.0005
I0306 05:27:47.243228  5521 solver.cpp:188] Iteration 32800, loss = 1.39959
I0306 05:27:47.243283  5521 solver.cpp:203]     Train net output #0: loss = 1.39959 (* 1 = 1.39959 loss)
I0306 05:27:47.243296  5521 solver.cpp:449] Iteration 32800, lr = 0.0005
I0306 05:28:00.065639  5521 solver.cpp:188] Iteration 32840, loss = 1.58838
I0306 05:28:00.065696  5521 solver.cpp:203]     Train net output #0: loss = 1.58838 (* 1 = 1.58838 loss)
I0306 05:28:00.065709  5521 solver.cpp:449] Iteration 32840, lr = 0.0005
I0306 05:28:12.838613  5521 solver.cpp:188] Iteration 32880, loss = 1.47348
I0306 05:28:12.838729  5521 solver.cpp:203]     Train net output #0: loss = 1.47348 (* 1 = 1.47348 loss)
I0306 05:28:12.838747  5521 solver.cpp:449] Iteration 32880, lr = 0.0005
I0306 05:28:25.605321  5521 solver.cpp:188] Iteration 32920, loss = 1.53528
I0306 05:28:25.605378  5521 solver.cpp:203]     Train net output #0: loss = 1.53528 (* 1 = 1.53528 loss)
I0306 05:28:25.605394  5521 solver.cpp:449] Iteration 32920, lr = 0.0005
I0306 05:28:38.373567  5521 solver.cpp:188] Iteration 32960, loss = 1.69121
I0306 05:28:38.373621  5521 solver.cpp:203]     Train net output #0: loss = 1.69121 (* 1 = 1.69121 loss)
I0306 05:28:38.373636  5521 solver.cpp:449] Iteration 32960, lr = 0.0005
I0306 05:28:51.141042  5521 solver.cpp:188] Iteration 33000, loss = 1.52553
I0306 05:28:51.141191  5521 solver.cpp:203]     Train net output #0: loss = 1.52553 (* 1 = 1.52553 loss)
I0306 05:28:51.141207  5521 solver.cpp:449] Iteration 33000, lr = 0.0005
I0306 05:29:03.899914  5521 solver.cpp:188] Iteration 33040, loss = 1.49881
I0306 05:29:03.899971  5521 solver.cpp:203]     Train net output #0: loss = 1.49881 (* 1 = 1.49881 loss)
I0306 05:29:03.899986  5521 solver.cpp:449] Iteration 33040, lr = 0.0005
I0306 05:29:16.669520  5521 solver.cpp:188] Iteration 33080, loss = 1.34941
I0306 05:29:16.669579  5521 solver.cpp:203]     Train net output #0: loss = 1.34941 (* 1 = 1.34941 loss)
I0306 05:29:16.669594  5521 solver.cpp:449] Iteration 33080, lr = 0.0005
I0306 05:29:29.427505  5521 solver.cpp:188] Iteration 33120, loss = 1.49638
I0306 05:29:29.427626  5521 solver.cpp:203]     Train net output #0: loss = 1.49638 (* 1 = 1.49638 loss)
I0306 05:29:29.427644  5521 solver.cpp:449] Iteration 33120, lr = 0.0005
I0306 05:29:42.197062  5521 solver.cpp:188] Iteration 33160, loss = 1.59643
I0306 05:29:42.197121  5521 solver.cpp:203]     Train net output #0: loss = 1.59643 (* 1 = 1.59643 loss)
I0306 05:29:42.197137  5521 solver.cpp:449] Iteration 33160, lr = 0.0005
I0306 05:29:55.017089  5521 solver.cpp:188] Iteration 33200, loss = 1.25842
I0306 05:29:55.017382  5521 solver.cpp:203]     Train net output #0: loss = 1.25842 (* 1 = 1.25842 loss)
I0306 05:29:55.017472  5521 solver.cpp:449] Iteration 33200, lr = 0.0005
I0306 05:30:07.776712  5521 solver.cpp:188] Iteration 33240, loss = 1.52919
I0306 05:30:07.776819  5521 solver.cpp:203]     Train net output #0: loss = 1.52919 (* 1 = 1.52919 loss)
I0306 05:30:07.776835  5521 solver.cpp:449] Iteration 33240, lr = 0.0005
I0306 05:30:20.537286  5521 solver.cpp:188] Iteration 33280, loss = 1.47351
I0306 05:30:20.537344  5521 solver.cpp:203]     Train net output #0: loss = 1.47351 (* 1 = 1.47351 loss)
I0306 05:30:20.537359  5521 solver.cpp:449] Iteration 33280, lr = 0.0005
I0306 05:30:33.289672  5521 solver.cpp:188] Iteration 33320, loss = 1.63801
I0306 05:30:33.289729  5521 solver.cpp:203]     Train net output #0: loss = 1.63801 (* 1 = 1.63801 loss)
I0306 05:30:33.289744  5521 solver.cpp:449] Iteration 33320, lr = 0.0005
I0306 05:30:46.034550  5521 solver.cpp:188] Iteration 33360, loss = 1.38676
I0306 05:30:46.034661  5521 solver.cpp:203]     Train net output #0: loss = 1.38676 (* 1 = 1.38676 loss)
I0306 05:30:46.034678  5521 solver.cpp:449] Iteration 33360, lr = 0.0005
I0306 05:30:58.797857  5521 solver.cpp:188] Iteration 33400, loss = 1.51703
I0306 05:30:58.797910  5521 solver.cpp:203]     Train net output #0: loss = 1.51703 (* 1 = 1.51703 loss)
I0306 05:30:58.797924  5521 solver.cpp:449] Iteration 33400, lr = 0.0005
I0306 05:31:11.559319  5521 solver.cpp:188] Iteration 33440, loss = 1.58715
I0306 05:31:11.559371  5521 solver.cpp:203]     Train net output #0: loss = 1.58715 (* 1 = 1.58715 loss)
I0306 05:31:11.559387  5521 solver.cpp:449] Iteration 33440, lr = 0.0005
I0306 05:31:24.309170  5521 solver.cpp:188] Iteration 33480, loss = 1.60088
I0306 05:31:24.309257  5521 solver.cpp:203]     Train net output #0: loss = 1.60088 (* 1 = 1.60088 loss)
I0306 05:31:24.309273  5521 solver.cpp:449] Iteration 33480, lr = 0.0005
I0306 05:31:37.056818  5521 solver.cpp:188] Iteration 33520, loss = 1.46245
I0306 05:31:37.056872  5521 solver.cpp:203]     Train net output #0: loss = 1.46245 (* 1 = 1.46245 loss)
I0306 05:31:37.056887  5521 solver.cpp:449] Iteration 33520, lr = 0.0005
I0306 05:31:49.808709  5521 solver.cpp:188] Iteration 33560, loss = 1.36073
I0306 05:31:49.808768  5521 solver.cpp:203]     Train net output #0: loss = 1.36073 (* 1 = 1.36073 loss)
I0306 05:31:49.808784  5521 solver.cpp:449] Iteration 33560, lr = 0.0005
I0306 05:32:02.603950  5521 solver.cpp:188] Iteration 33600, loss = 1.59976
I0306 05:32:02.604049  5521 solver.cpp:203]     Train net output #0: loss = 1.59976 (* 1 = 1.59976 loss)
I0306 05:32:02.604065  5521 solver.cpp:449] Iteration 33600, lr = 0.0005
I0306 05:32:15.390914  5521 solver.cpp:188] Iteration 33640, loss = 1.43157
I0306 05:32:15.390975  5521 solver.cpp:203]     Train net output #0: loss = 1.43157 (* 1 = 1.43157 loss)
I0306 05:32:15.390991  5521 solver.cpp:449] Iteration 33640, lr = 0.0005
I0306 05:32:28.133151  5521 solver.cpp:188] Iteration 33680, loss = 1.41327
I0306 05:32:28.133214  5521 solver.cpp:203]     Train net output #0: loss = 1.41327 (* 1 = 1.41327 loss)
I0306 05:32:28.133230  5521 solver.cpp:449] Iteration 33680, lr = 0.0005
I0306 05:32:40.877290  5521 solver.cpp:188] Iteration 33720, loss = 1.37797
I0306 05:32:40.877420  5521 solver.cpp:203]     Train net output #0: loss = 1.37797 (* 1 = 1.37797 loss)
I0306 05:32:40.877437  5521 solver.cpp:449] Iteration 33720, lr = 0.0005
I0306 05:32:53.642581  5521 solver.cpp:188] Iteration 33760, loss = 1.47999
I0306 05:32:53.642638  5521 solver.cpp:203]     Train net output #0: loss = 1.47999 (* 1 = 1.47999 loss)
I0306 05:32:53.642652  5521 solver.cpp:449] Iteration 33760, lr = 0.0005
I0306 05:33:06.415288  5521 solver.cpp:188] Iteration 33800, loss = 1.53671
I0306 05:33:06.415349  5521 solver.cpp:203]     Train net output #0: loss = 1.53671 (* 1 = 1.53671 loss)
I0306 05:33:06.415364  5521 solver.cpp:449] Iteration 33800, lr = 0.0005
I0306 05:33:19.189411  5521 solver.cpp:188] Iteration 33840, loss = 1.57128
I0306 05:33:19.189524  5521 solver.cpp:203]     Train net output #0: loss = 1.57128 (* 1 = 1.57128 loss)
I0306 05:33:19.189543  5521 solver.cpp:449] Iteration 33840, lr = 0.0005
I0306 05:33:31.945392  5521 solver.cpp:188] Iteration 33880, loss = 1.58644
I0306 05:33:31.945451  5521 solver.cpp:203]     Train net output #0: loss = 1.58644 (* 1 = 1.58644 loss)
I0306 05:33:31.945466  5521 solver.cpp:449] Iteration 33880, lr = 0.0005
I0306 05:33:44.719442  5521 solver.cpp:188] Iteration 33920, loss = 1.49016
I0306 05:33:44.719497  5521 solver.cpp:203]     Train net output #0: loss = 1.49016 (* 1 = 1.49016 loss)
I0306 05:33:44.719512  5521 solver.cpp:449] Iteration 33920, lr = 0.0005
I0306 05:33:57.486999  5521 solver.cpp:188] Iteration 33960, loss = 1.46709
I0306 05:33:57.487110  5521 solver.cpp:203]     Train net output #0: loss = 1.46709 (* 1 = 1.46709 loss)
I0306 05:33:57.487126  5521 solver.cpp:449] Iteration 33960, lr = 0.0005
I0306 05:34:10.258579  5521 solver.cpp:188] Iteration 34000, loss = 1.63923
I0306 05:34:10.258636  5521 solver.cpp:203]     Train net output #0: loss = 1.63923 (* 1 = 1.63923 loss)
I0306 05:34:10.258651  5521 solver.cpp:449] Iteration 34000, lr = 0.0005
I0306 05:34:22.912667  5521 solver.cpp:188] Iteration 34040, loss = 1.66723
I0306 05:34:22.912724  5521 solver.cpp:203]     Train net output #0: loss = 1.66723 (* 1 = 1.66723 loss)
I0306 05:34:22.912739  5521 solver.cpp:449] Iteration 34040, lr = 0.0005
I0306 05:34:35.529654  5521 solver.cpp:188] Iteration 34080, loss = 1.34727
I0306 05:34:35.529752  5521 solver.cpp:203]     Train net output #0: loss = 1.34727 (* 1 = 1.34727 loss)
I0306 05:34:35.529768  5521 solver.cpp:449] Iteration 34080, lr = 0.0005
I0306 05:34:48.289819  5521 solver.cpp:188] Iteration 34120, loss = 1.38579
I0306 05:34:48.289878  5521 solver.cpp:203]     Train net output #0: loss = 1.38579 (* 1 = 1.38579 loss)
I0306 05:34:48.289894  5521 solver.cpp:449] Iteration 34120, lr = 0.0005
I0306 05:35:01.050669  5521 solver.cpp:188] Iteration 34160, loss = 1.41731
I0306 05:35:01.050726  5521 solver.cpp:203]     Train net output #0: loss = 1.41731 (* 1 = 1.41731 loss)
I0306 05:35:01.050742  5521 solver.cpp:449] Iteration 34160, lr = 0.0005
I0306 05:35:13.814506  5521 solver.cpp:188] Iteration 34200, loss = 1.43744
I0306 05:35:13.814668  5521 solver.cpp:203]     Train net output #0: loss = 1.43744 (* 1 = 1.43744 loss)
I0306 05:35:13.814687  5521 solver.cpp:449] Iteration 34200, lr = 0.0005
I0306 05:35:26.568773  5521 solver.cpp:188] Iteration 34240, loss = 1.42028
I0306 05:35:26.568827  5521 solver.cpp:203]     Train net output #0: loss = 1.42028 (* 1 = 1.42028 loss)
I0306 05:35:26.568841  5521 solver.cpp:449] Iteration 34240, lr = 0.0005
I0306 05:35:39.334929  5521 solver.cpp:188] Iteration 34280, loss = 1.47185
I0306 05:35:39.334985  5521 solver.cpp:203]     Train net output #0: loss = 1.47185 (* 1 = 1.47185 loss)
I0306 05:35:39.335000  5521 solver.cpp:449] Iteration 34280, lr = 0.0005
I0306 05:35:52.089190  5521 solver.cpp:188] Iteration 34320, loss = 1.46109
I0306 05:35:52.089293  5521 solver.cpp:203]     Train net output #0: loss = 1.46109 (* 1 = 1.46109 loss)
I0306 05:35:52.089309  5521 solver.cpp:449] Iteration 34320, lr = 0.0005
I0306 05:36:04.925320  5521 solver.cpp:188] Iteration 34360, loss = 1.41719
I0306 05:36:04.925379  5521 solver.cpp:203]     Train net output #0: loss = 1.41719 (* 1 = 1.41719 loss)
I0306 05:36:04.925395  5521 solver.cpp:449] Iteration 34360, lr = 0.0005
I0306 05:36:17.678938  5521 solver.cpp:188] Iteration 34400, loss = 1.55381
I0306 05:36:17.678993  5521 solver.cpp:203]     Train net output #0: loss = 1.55381 (* 1 = 1.55381 loss)
I0306 05:36:17.679008  5521 solver.cpp:449] Iteration 34400, lr = 0.0005
I0306 05:36:30.419214  5521 solver.cpp:188] Iteration 34440, loss = 1.50011
I0306 05:36:30.419325  5521 solver.cpp:203]     Train net output #0: loss = 1.50011 (* 1 = 1.50011 loss)
I0306 05:36:30.419342  5521 solver.cpp:449] Iteration 34440, lr = 0.0005
I0306 05:36:43.172153  5521 solver.cpp:188] Iteration 34480, loss = 1.56078
I0306 05:36:43.172210  5521 solver.cpp:203]     Train net output #0: loss = 1.56078 (* 1 = 1.56078 loss)
I0306 05:36:43.172225  5521 solver.cpp:449] Iteration 34480, lr = 0.0005
I0306 05:36:55.926336  5521 solver.cpp:188] Iteration 34520, loss = 1.50117
I0306 05:36:55.926390  5521 solver.cpp:203]     Train net output #0: loss = 1.50117 (* 1 = 1.50117 loss)
I0306 05:36:55.926405  5521 solver.cpp:449] Iteration 34520, lr = 0.0005
I0306 05:37:08.712123  5521 solver.cpp:188] Iteration 34560, loss = 1.41867
I0306 05:37:08.712226  5521 solver.cpp:203]     Train net output #0: loss = 1.41867 (* 1 = 1.41867 loss)
I0306 05:37:08.712242  5521 solver.cpp:449] Iteration 34560, lr = 0.0005
I0306 05:37:21.389683  5521 solver.cpp:188] Iteration 34600, loss = 1.55426
I0306 05:37:21.389749  5521 solver.cpp:203]     Train net output #0: loss = 1.55426 (* 1 = 1.55426 loss)
I0306 05:37:21.389763  5521 solver.cpp:449] Iteration 34600, lr = 0.0005
I0306 05:37:34.064832  5521 solver.cpp:188] Iteration 34640, loss = 1.48066
I0306 05:37:34.064890  5521 solver.cpp:203]     Train net output #0: loss = 1.48066 (* 1 = 1.48066 loss)
I0306 05:37:34.064905  5521 solver.cpp:449] Iteration 34640, lr = 0.0005
I0306 05:37:46.984498  5521 solver.cpp:188] Iteration 34680, loss = 1.49954
I0306 05:37:46.984623  5521 solver.cpp:203]     Train net output #0: loss = 1.49954 (* 1 = 1.49954 loss)
I0306 05:37:46.984642  5521 solver.cpp:449] Iteration 34680, lr = 0.0005
I0306 05:37:59.749842  5521 solver.cpp:188] Iteration 34720, loss = 1.36636
I0306 05:37:59.749902  5521 solver.cpp:203]     Train net output #0: loss = 1.36636 (* 1 = 1.36636 loss)
I0306 05:37:59.749917  5521 solver.cpp:449] Iteration 34720, lr = 0.0005
I0306 05:38:12.519465  5521 solver.cpp:188] Iteration 34760, loss = 1.42314
I0306 05:38:12.519526  5521 solver.cpp:203]     Train net output #0: loss = 1.42314 (* 1 = 1.42314 loss)
I0306 05:38:12.519543  5521 solver.cpp:449] Iteration 34760, lr = 0.0005
I0306 05:38:25.284140  5521 solver.cpp:188] Iteration 34800, loss = 1.36704
I0306 05:38:25.284253  5521 solver.cpp:203]     Train net output #0: loss = 1.36704 (* 1 = 1.36704 loss)
I0306 05:38:25.284271  5521 solver.cpp:449] Iteration 34800, lr = 0.0005
I0306 05:38:38.052388  5521 solver.cpp:188] Iteration 34840, loss = 1.36714
I0306 05:38:38.052441  5521 solver.cpp:203]     Train net output #0: loss = 1.36714 (* 1 = 1.36714 loss)
I0306 05:38:38.052455  5521 solver.cpp:449] Iteration 34840, lr = 0.0005
I0306 05:38:50.913594  5521 solver.cpp:188] Iteration 34880, loss = 1.37464
I0306 05:38:50.913651  5521 solver.cpp:203]     Train net output #0: loss = 1.37464 (* 1 = 1.37464 loss)
I0306 05:38:50.913666  5521 solver.cpp:449] Iteration 34880, lr = 0.0005
I0306 05:39:03.691673  5521 solver.cpp:188] Iteration 34920, loss = 1.4099
I0306 05:39:03.691841  5521 solver.cpp:203]     Train net output #0: loss = 1.4099 (* 1 = 1.4099 loss)
I0306 05:39:03.691859  5521 solver.cpp:449] Iteration 34920, lr = 0.0005
I0306 05:39:16.474663  5521 solver.cpp:188] Iteration 34960, loss = 1.35179
I0306 05:39:16.474740  5521 solver.cpp:203]     Train net output #0: loss = 1.35179 (* 1 = 1.35179 loss)
I0306 05:39:16.474756  5521 solver.cpp:449] Iteration 34960, lr = 0.0005
I0306 05:39:29.542013  5521 solver.cpp:337] Snapshotting to cache/lsp/lsp_iter_35000.caffemodel
I0306 05:39:30.700134  5521 solver.cpp:345] Snapshotting solver state to cache/lsp/lsp_iter_35000.solverstate
I0306 05:39:31.397627  5521 solver.cpp:266] Iteration 35000, Testing net (#0)
I0306 05:39:49.220039  5521 solver.cpp:317]     Test net output #0: accuracy = 0.56475
I0306 05:39:49.220157  5521 solver.cpp:317]     Test net output #1: loss = 1.61993 (* 1 = 1.61993 loss)
I0306 05:39:49.314924  5521 solver.cpp:188] Iteration 35000, loss = 1.4144
I0306 05:39:49.314977  5521 solver.cpp:203]     Train net output #0: loss = 1.4144 (* 1 = 1.4144 loss)
I0306 05:39:49.314991  5521 solver.cpp:449] Iteration 35000, lr = 0.0005
I0306 05:40:01.551493  5521 solver.cpp:188] Iteration 35040, loss = 1.28096
I0306 05:40:01.551548  5521 solver.cpp:203]     Train net output #0: loss = 1.28096 (* 1 = 1.28096 loss)
I0306 05:40:01.551563  5521 solver.cpp:449] Iteration 35040, lr = 0.0005
I0306 05:40:14.469912  5521 solver.cpp:188] Iteration 35080, loss = 1.32291
I0306 05:40:14.469972  5521 solver.cpp:203]     Train net output #0: loss = 1.32291 (* 1 = 1.32291 loss)
I0306 05:40:14.469986  5521 solver.cpp:449] Iteration 35080, lr = 0.0005
I0306 05:40:27.404877  5521 solver.cpp:188] Iteration 35120, loss = 1.39935
I0306 05:40:27.404971  5521 solver.cpp:203]     Train net output #0: loss = 1.39935 (* 1 = 1.39935 loss)
I0306 05:40:27.404988  5521 solver.cpp:449] Iteration 35120, lr = 0.0005
I0306 05:40:40.340191  5521 solver.cpp:188] Iteration 35160, loss = 1.46216
I0306 05:40:40.340255  5521 solver.cpp:203]     Train net output #0: loss = 1.46216 (* 1 = 1.46216 loss)
I0306 05:40:40.340270  5521 solver.cpp:449] Iteration 35160, lr = 0.0005
I0306 05:40:53.299268  5521 solver.cpp:188] Iteration 35200, loss = 1.35049
I0306 05:40:53.299321  5521 solver.cpp:203]     Train net output #0: loss = 1.35049 (* 1 = 1.35049 loss)
I0306 05:40:53.299336  5521 solver.cpp:449] Iteration 35200, lr = 0.0005
I0306 05:41:06.251564  5521 solver.cpp:188] Iteration 35240, loss = 1.43352
I0306 05:41:06.251672  5521 solver.cpp:203]     Train net output #0: loss = 1.43352 (* 1 = 1.43352 loss)
I0306 05:41:06.251690  5521 solver.cpp:449] Iteration 35240, lr = 0.0005
I0306 05:41:19.250648  5521 solver.cpp:188] Iteration 35280, loss = 1.26188
I0306 05:41:19.250710  5521 solver.cpp:203]     Train net output #0: loss = 1.26188 (* 1 = 1.26188 loss)
I0306 05:41:19.250725  5521 solver.cpp:449] Iteration 35280, lr = 0.0005
I0306 05:41:32.096266  5521 solver.cpp:188] Iteration 35320, loss = 1.50684
I0306 05:41:32.096331  5521 solver.cpp:203]     Train net output #0: loss = 1.50684 (* 1 = 1.50684 loss)
I0306 05:41:32.096348  5521 solver.cpp:449] Iteration 35320, lr = 0.0005
I0306 05:41:44.882048  5521 solver.cpp:188] Iteration 35360, loss = 1.5232
I0306 05:41:44.882169  5521 solver.cpp:203]     Train net output #0: loss = 1.5232 (* 1 = 1.5232 loss)
I0306 05:41:44.882186  5521 solver.cpp:449] Iteration 35360, lr = 0.0005
I0306 05:41:57.714426  5521 solver.cpp:188] Iteration 35400, loss = 1.28337
I0306 05:41:57.714483  5521 solver.cpp:203]     Train net output #0: loss = 1.28337 (* 1 = 1.28337 loss)
I0306 05:41:57.714498  5521 solver.cpp:449] Iteration 35400, lr = 0.0005
I0306 05:42:10.601935  5521 solver.cpp:188] Iteration 35440, loss = 1.57915
I0306 05:42:10.601992  5521 solver.cpp:203]     Train net output #0: loss = 1.57915 (* 1 = 1.57915 loss)
I0306 05:42:10.602007  5521 solver.cpp:449] Iteration 35440, lr = 0.0005
I0306 05:42:23.449096  5521 solver.cpp:188] Iteration 35480, loss = 1.25376
I0306 05:42:23.449245  5521 solver.cpp:203]     Train net output #0: loss = 1.25376 (* 1 = 1.25376 loss)
I0306 05:42:23.449265  5521 solver.cpp:449] Iteration 35480, lr = 0.0005
I0306 05:42:36.283289  5521 solver.cpp:188] Iteration 35520, loss = 1.30966
I0306 05:42:36.283349  5521 solver.cpp:203]     Train net output #0: loss = 1.30966 (* 1 = 1.30966 loss)
I0306 05:42:36.283363  5521 solver.cpp:449] Iteration 35520, lr = 0.0005
I0306 05:42:49.267127  5521 solver.cpp:188] Iteration 35560, loss = 1.32672
I0306 05:42:49.267177  5521 solver.cpp:203]     Train net output #0: loss = 1.32672 (* 1 = 1.32672 loss)
I0306 05:42:49.267191  5521 solver.cpp:449] Iteration 35560, lr = 0.0005
I0306 05:43:02.199780  5521 solver.cpp:188] Iteration 35600, loss = 1.25589
I0306 05:43:02.199903  5521 solver.cpp:203]     Train net output #0: loss = 1.25589 (* 1 = 1.25589 loss)
I0306 05:43:02.199920  5521 solver.cpp:449] Iteration 35600, lr = 0.0005
I0306 05:43:15.183090  5521 solver.cpp:188] Iteration 35640, loss = 1.44401
I0306 05:43:15.183145  5521 solver.cpp:203]     Train net output #0: loss = 1.44401 (* 1 = 1.44401 loss)
I0306 05:43:15.183158  5521 solver.cpp:449] Iteration 35640, lr = 0.0005
I0306 05:43:28.162082  5521 solver.cpp:188] Iteration 35680, loss = 1.36737
I0306 05:43:28.162148  5521 solver.cpp:203]     Train net output #0: loss = 1.36737 (* 1 = 1.36737 loss)
I0306 05:43:28.162163  5521 solver.cpp:449] Iteration 35680, lr = 0.0005
I0306 05:43:41.276698  5521 solver.cpp:188] Iteration 35720, loss = 1.31336
I0306 05:43:41.276819  5521 solver.cpp:203]     Train net output #0: loss = 1.31336 (* 1 = 1.31336 loss)
I0306 05:43:41.276837  5521 solver.cpp:449] Iteration 35720, lr = 0.0005
I0306 05:43:54.137936  5521 solver.cpp:188] Iteration 35760, loss = 1.36244
I0306 05:43:54.138000  5521 solver.cpp:203]     Train net output #0: loss = 1.36244 (* 1 = 1.36244 loss)
I0306 05:43:54.138021  5521 solver.cpp:449] Iteration 35760, lr = 0.0005
I0306 05:44:06.948740  5521 solver.cpp:188] Iteration 35800, loss = 1.37801
I0306 05:44:06.948796  5521 solver.cpp:203]     Train net output #0: loss = 1.37801 (* 1 = 1.37801 loss)
I0306 05:44:06.948811  5521 solver.cpp:449] Iteration 35800, lr = 0.0005
I0306 05:44:19.759649  5521 solver.cpp:188] Iteration 35840, loss = 1.50081
I0306 05:44:19.759779  5521 solver.cpp:203]     Train net output #0: loss = 1.50081 (* 1 = 1.50081 loss)
I0306 05:44:19.759796  5521 solver.cpp:449] Iteration 35840, lr = 0.0005
I0306 05:44:32.578399  5521 solver.cpp:188] Iteration 35880, loss = 1.32574
I0306 05:44:32.578456  5521 solver.cpp:203]     Train net output #0: loss = 1.32574 (* 1 = 1.32574 loss)
I0306 05:44:32.578471  5521 solver.cpp:449] Iteration 35880, lr = 0.0005
I0306 05:44:45.383589  5521 solver.cpp:188] Iteration 35920, loss = 1.28064
I0306 05:44:45.383659  5521 solver.cpp:203]     Train net output #0: loss = 1.28064 (* 1 = 1.28064 loss)
I0306 05:44:45.383676  5521 solver.cpp:449] Iteration 35920, lr = 0.0005
I0306 05:44:58.167763  5521 solver.cpp:188] Iteration 35960, loss = 1.24084
I0306 05:44:58.167881  5521 solver.cpp:203]     Train net output #0: loss = 1.24084 (* 1 = 1.24084 loss)
I0306 05:44:58.167898  5521 solver.cpp:449] Iteration 35960, lr = 0.0005
I0306 05:45:10.960932  5521 solver.cpp:188] Iteration 36000, loss = 1.27527
I0306 05:45:10.960994  5521 solver.cpp:203]     Train net output #0: loss = 1.27527 (* 1 = 1.27527 loss)
I0306 05:45:10.961009  5521 solver.cpp:449] Iteration 36000, lr = 0.0005
I0306 05:45:23.739392  5521 solver.cpp:188] Iteration 36040, loss = 1.38137
I0306 05:45:23.739444  5521 solver.cpp:203]     Train net output #0: loss = 1.38137 (* 1 = 1.38137 loss)
I0306 05:45:23.739459  5521 solver.cpp:449] Iteration 36040, lr = 0.0005
I0306 05:45:36.522097  5521 solver.cpp:188] Iteration 36080, loss = 1.30994
I0306 05:45:36.522270  5521 solver.cpp:203]     Train net output #0: loss = 1.30994 (* 1 = 1.30994 loss)
I0306 05:45:36.522290  5521 solver.cpp:449] Iteration 36080, lr = 0.0005
I0306 05:45:49.365293  5521 solver.cpp:188] Iteration 36120, loss = 1.22078
I0306 05:45:49.365351  5521 solver.cpp:203]     Train net output #0: loss = 1.22078 (* 1 = 1.22078 loss)
I0306 05:45:49.365366  5521 solver.cpp:449] Iteration 36120, lr = 0.0005
I0306 05:46:02.147011  5521 solver.cpp:188] Iteration 36160, loss = 1.40746
I0306 05:46:02.147068  5521 solver.cpp:203]     Train net output #0: loss = 1.40746 (* 1 = 1.40746 loss)
I0306 05:46:02.147081  5521 solver.cpp:449] Iteration 36160, lr = 0.0005
I0306 05:46:14.999478  5521 solver.cpp:188] Iteration 36200, loss = 1.38047
I0306 05:46:14.999614  5521 solver.cpp:203]     Train net output #0: loss = 1.38047 (* 1 = 1.38047 loss)
I0306 05:46:14.999634  5521 solver.cpp:449] Iteration 36200, lr = 0.0005
I0306 05:46:27.798321  5521 solver.cpp:188] Iteration 36240, loss = 1.32728
I0306 05:46:27.798373  5521 solver.cpp:203]     Train net output #0: loss = 1.32728 (* 1 = 1.32728 loss)
I0306 05:46:27.798388  5521 solver.cpp:449] Iteration 36240, lr = 0.0005
I0306 05:46:40.592162  5521 solver.cpp:188] Iteration 36280, loss = 1.18638
I0306 05:46:40.592223  5521 solver.cpp:203]     Train net output #0: loss = 1.18638 (* 1 = 1.18638 loss)
I0306 05:46:40.592238  5521 solver.cpp:449] Iteration 36280, lr = 0.0005
I0306 05:46:53.371080  5521 solver.cpp:188] Iteration 36320, loss = 1.28335
I0306 05:46:53.371199  5521 solver.cpp:203]     Train net output #0: loss = 1.28335 (* 1 = 1.28335 loss)
I0306 05:46:53.371217  5521 solver.cpp:449] Iteration 36320, lr = 0.0005
I0306 05:47:06.211154  5521 solver.cpp:188] Iteration 36360, loss = 1.3688
I0306 05:47:06.211220  5521 solver.cpp:203]     Train net output #0: loss = 1.3688 (* 1 = 1.3688 loss)
I0306 05:47:06.211236  5521 solver.cpp:449] Iteration 36360, lr = 0.0005
I0306 05:47:18.973099  5521 solver.cpp:188] Iteration 36400, loss = 1.23842
I0306 05:47:18.973156  5521 solver.cpp:203]     Train net output #0: loss = 1.23842 (* 1 = 1.23842 loss)
I0306 05:47:18.973171  5521 solver.cpp:449] Iteration 36400, lr = 0.0005
I0306 05:47:31.834033  5521 solver.cpp:188] Iteration 36440, loss = 1.2964
I0306 05:47:31.834149  5521 solver.cpp:203]     Train net output #0: loss = 1.2964 (* 1 = 1.2964 loss)
I0306 05:47:31.834167  5521 solver.cpp:449] Iteration 36440, lr = 0.0005
I0306 05:47:44.658113  5521 solver.cpp:188] Iteration 36480, loss = 1.13578
I0306 05:47:44.658181  5521 solver.cpp:203]     Train net output #0: loss = 1.13578 (* 1 = 1.13578 loss)
I0306 05:47:44.658197  5521 solver.cpp:449] Iteration 36480, lr = 0.0005
I0306 05:47:57.451156  5521 solver.cpp:188] Iteration 36520, loss = 1.36718
I0306 05:47:57.451210  5521 solver.cpp:203]     Train net output #0: loss = 1.36718 (* 1 = 1.36718 loss)
I0306 05:47:57.451223  5521 solver.cpp:449] Iteration 36520, lr = 0.0005
I0306 05:48:10.257587  5521 solver.cpp:188] Iteration 36560, loss = 1.31804
I0306 05:48:10.257724  5521 solver.cpp:203]     Train net output #0: loss = 1.31804 (* 1 = 1.31804 loss)
I0306 05:48:10.257741  5521 solver.cpp:449] Iteration 36560, lr = 0.0005
I0306 05:48:23.046053  5521 solver.cpp:188] Iteration 36600, loss = 1.20829
I0306 05:48:23.046118  5521 solver.cpp:203]     Train net output #0: loss = 1.20829 (* 1 = 1.20829 loss)
I0306 05:48:23.046133  5521 solver.cpp:449] Iteration 36600, lr = 0.0005
I0306 05:48:35.832866  5521 solver.cpp:188] Iteration 36640, loss = 1.33614
I0306 05:48:35.832924  5521 solver.cpp:203]     Train net output #0: loss = 1.33614 (* 1 = 1.33614 loss)
I0306 05:48:35.832939  5521 solver.cpp:449] Iteration 36640, lr = 0.0005
I0306 05:48:48.630307  5521 solver.cpp:188] Iteration 36680, loss = 1.20763
I0306 05:48:48.630439  5521 solver.cpp:203]     Train net output #0: loss = 1.20763 (* 1 = 1.20763 loss)
I0306 05:48:48.630457  5521 solver.cpp:449] Iteration 36680, lr = 0.0005
I0306 05:49:01.424499  5521 solver.cpp:188] Iteration 36720, loss = 1.30162
I0306 05:49:01.424556  5521 solver.cpp:203]     Train net output #0: loss = 1.30162 (* 1 = 1.30162 loss)
I0306 05:49:01.424571  5521 solver.cpp:449] Iteration 36720, lr = 0.0005
I0306 05:49:14.239616  5521 solver.cpp:188] Iteration 36760, loss = 1.31602
I0306 05:49:14.239675  5521 solver.cpp:203]     Train net output #0: loss = 1.31602 (* 1 = 1.31602 loss)
I0306 05:49:14.239688  5521 solver.cpp:449] Iteration 36760, lr = 0.0005
I0306 05:49:27.024668  5521 solver.cpp:188] Iteration 36800, loss = 1.28146
I0306 05:49:27.024821  5521 solver.cpp:203]     Train net output #0: loss = 1.28146 (* 1 = 1.28146 loss)
I0306 05:49:27.024838  5521 solver.cpp:449] Iteration 36800, lr = 0.0005
I0306 05:49:39.828999  5521 solver.cpp:188] Iteration 36840, loss = 1.28294
I0306 05:49:39.829061  5521 solver.cpp:203]     Train net output #0: loss = 1.28294 (* 1 = 1.28294 loss)
I0306 05:49:39.829077  5521 solver.cpp:449] Iteration 36840, lr = 0.0005
I0306 05:49:52.612238  5521 solver.cpp:188] Iteration 36880, loss = 1.30348
I0306 05:49:52.612292  5521 solver.cpp:203]     Train net output #0: loss = 1.30348 (* 1 = 1.30348 loss)
I0306 05:49:52.612306  5521 solver.cpp:449] Iteration 36880, lr = 0.0005
I0306 05:50:05.397904  5521 solver.cpp:188] Iteration 36920, loss = 1.27824
I0306 05:50:05.398038  5521 solver.cpp:203]     Train net output #0: loss = 1.27824 (* 1 = 1.27824 loss)
I0306 05:50:05.398056  5521 solver.cpp:449] Iteration 36920, lr = 0.0005
I0306 05:50:18.169602  5521 solver.cpp:188] Iteration 36960, loss = 1.26923
I0306 05:50:18.169662  5521 solver.cpp:203]     Train net output #0: loss = 1.26923 (* 1 = 1.26923 loss)
I0306 05:50:18.169677  5521 solver.cpp:449] Iteration 36960, lr = 0.0005
I0306 05:50:30.950085  5521 solver.cpp:188] Iteration 37000, loss = 1.56878
I0306 05:50:30.950146  5521 solver.cpp:203]     Train net output #0: loss = 1.56878 (* 1 = 1.56878 loss)
I0306 05:50:30.950160  5521 solver.cpp:449] Iteration 37000, lr = 0.0005
I0306 05:50:43.764394  5521 solver.cpp:188] Iteration 37040, loss = 1.53727
I0306 05:50:43.764515  5521 solver.cpp:203]     Train net output #0: loss = 1.53727 (* 1 = 1.53727 loss)
I0306 05:50:43.764533  5521 solver.cpp:449] Iteration 37040, lr = 0.0005
I0306 05:50:56.563194  5521 solver.cpp:188] Iteration 37080, loss = 1.53341
I0306 05:50:56.563262  5521 solver.cpp:203]     Train net output #0: loss = 1.53341 (* 1 = 1.53341 loss)
I0306 05:50:56.563279  5521 solver.cpp:449] Iteration 37080, lr = 0.0005
I0306 05:51:09.376214  5521 solver.cpp:188] Iteration 37120, loss = 1.48049
I0306 05:51:09.376283  5521 solver.cpp:203]     Train net output #0: loss = 1.48049 (* 1 = 1.48049 loss)
I0306 05:51:09.376301  5521 solver.cpp:449] Iteration 37120, lr = 0.0005
I0306 05:51:22.230892  5521 solver.cpp:188] Iteration 37160, loss = 1.34598
I0306 05:51:22.231016  5521 solver.cpp:203]     Train net output #0: loss = 1.34598 (* 1 = 1.34598 loss)
I0306 05:51:22.231034  5521 solver.cpp:449] Iteration 37160, lr = 0.0005
I0306 05:51:35.102895  5521 solver.cpp:188] Iteration 37200, loss = 1.59934
I0306 05:51:35.102948  5521 solver.cpp:203]     Train net output #0: loss = 1.59934 (* 1 = 1.59934 loss)
I0306 05:51:35.102963  5521 solver.cpp:449] Iteration 37200, lr = 0.0005
I0306 05:51:47.904381  5521 solver.cpp:188] Iteration 37240, loss = 1.63391
I0306 05:51:47.904436  5521 solver.cpp:203]     Train net output #0: loss = 1.63391 (* 1 = 1.63391 loss)
I0306 05:51:47.904451  5521 solver.cpp:449] Iteration 37240, lr = 0.0005
I0306 05:52:00.696769  5521 solver.cpp:188] Iteration 37280, loss = 1.47354
I0306 05:52:00.696902  5521 solver.cpp:203]     Train net output #0: loss = 1.47354 (* 1 = 1.47354 loss)
I0306 05:52:00.696928  5521 solver.cpp:449] Iteration 37280, lr = 0.0005
I0306 05:52:13.583561  5521 solver.cpp:188] Iteration 37320, loss = 1.36585
I0306 05:52:13.583624  5521 solver.cpp:203]     Train net output #0: loss = 1.36585 (* 1 = 1.36585 loss)
I0306 05:52:13.583649  5521 solver.cpp:449] Iteration 37320, lr = 0.0005
I0306 05:52:26.367913  5521 solver.cpp:188] Iteration 37360, loss = 1.42721
I0306 05:52:26.367966  5521 solver.cpp:203]     Train net output #0: loss = 1.42721 (* 1 = 1.42721 loss)
I0306 05:52:26.367981  5521 solver.cpp:449] Iteration 37360, lr = 0.0005
I0306 05:52:39.024121  5521 solver.cpp:188] Iteration 37400, loss = 1.34539
I0306 05:52:39.024265  5521 solver.cpp:203]     Train net output #0: loss = 1.34539 (* 1 = 1.34539 loss)
I0306 05:52:39.024283  5521 solver.cpp:449] Iteration 37400, lr = 0.0005
I0306 05:52:51.787489  5521 solver.cpp:188] Iteration 37440, loss = 1.47169
I0306 05:52:51.787567  5521 solver.cpp:203]     Train net output #0: loss = 1.47169 (* 1 = 1.47169 loss)
I0306 05:52:51.787585  5521 solver.cpp:449] Iteration 37440, lr = 0.0005
I0306 05:53:04.569941  5521 solver.cpp:188] Iteration 37480, loss = 1.41871
I0306 05:53:04.570000  5521 solver.cpp:203]     Train net output #0: loss = 1.41871 (* 1 = 1.41871 loss)
I0306 05:53:04.570015  5521 solver.cpp:449] Iteration 37480, lr = 0.0005
I0306 05:53:17.345621  5521 solver.cpp:188] Iteration 37520, loss = 1.6928
I0306 05:53:17.345746  5521 solver.cpp:203]     Train net output #0: loss = 1.6928 (* 1 = 1.6928 loss)
I0306 05:53:17.345763  5521 solver.cpp:449] Iteration 37520, lr = 0.0005
I0306 05:53:30.110333  5521 solver.cpp:188] Iteration 37560, loss = 1.45545
I0306 05:53:30.110390  5521 solver.cpp:203]     Train net output #0: loss = 1.45545 (* 1 = 1.45545 loss)
I0306 05:53:30.110405  5521 solver.cpp:449] Iteration 37560, lr = 0.0005
I0306 05:53:42.884150  5521 solver.cpp:188] Iteration 37600, loss = 1.2875
I0306 05:53:42.884207  5521 solver.cpp:203]     Train net output #0: loss = 1.2875 (* 1 = 1.2875 loss)
I0306 05:53:42.884222  5521 solver.cpp:449] Iteration 37600, lr = 0.0005
I0306 05:53:55.657866  5521 solver.cpp:188] Iteration 37640, loss = 1.34652
I0306 05:53:55.657963  5521 solver.cpp:203]     Train net output #0: loss = 1.34652 (* 1 = 1.34652 loss)
I0306 05:53:55.657984  5521 solver.cpp:449] Iteration 37640, lr = 0.0005
I0306 05:54:08.402838  5521 solver.cpp:188] Iteration 37680, loss = 1.4057
I0306 05:54:08.402909  5521 solver.cpp:203]     Train net output #0: loss = 1.4057 (* 1 = 1.4057 loss)
I0306 05:54:08.402925  5521 solver.cpp:449] Iteration 37680, lr = 0.0005
I0306 05:54:21.153435  5521 solver.cpp:188] Iteration 37720, loss = 1.53444
I0306 05:54:21.153496  5521 solver.cpp:203]     Train net output #0: loss = 1.53444 (* 1 = 1.53444 loss)
I0306 05:54:21.153512  5521 solver.cpp:449] Iteration 37720, lr = 0.0005
I0306 05:54:33.964745  5521 solver.cpp:188] Iteration 37760, loss = 1.33652
I0306 05:54:33.964848  5521 solver.cpp:203]     Train net output #0: loss = 1.33652 (* 1 = 1.33652 loss)
I0306 05:54:33.964864  5521 solver.cpp:449] Iteration 37760, lr = 0.0005
I0306 05:54:46.707310  5521 solver.cpp:188] Iteration 37800, loss = 1.33444
I0306 05:54:46.707368  5521 solver.cpp:203]     Train net output #0: loss = 1.33444 (* 1 = 1.33444 loss)
I0306 05:54:46.707383  5521 solver.cpp:449] Iteration 37800, lr = 0.0005
I0306 05:54:59.464843  5521 solver.cpp:188] Iteration 37840, loss = 1.31098
I0306 05:54:59.464901  5521 solver.cpp:203]     Train net output #0: loss = 1.31098 (* 1 = 1.31098 loss)
I0306 05:54:59.464917  5521 solver.cpp:449] Iteration 37840, lr = 0.0005
I0306 05:55:12.216835  5521 solver.cpp:188] Iteration 37880, loss = 1.58449
I0306 05:55:12.216939  5521 solver.cpp:203]     Train net output #0: loss = 1.58449 (* 1 = 1.58449 loss)
I0306 05:55:12.216958  5521 solver.cpp:449] Iteration 37880, lr = 0.0005
I0306 05:55:24.967610  5521 solver.cpp:188] Iteration 37920, loss = 1.29494
I0306 05:55:24.967664  5521 solver.cpp:203]     Train net output #0: loss = 1.29494 (* 1 = 1.29494 loss)
I0306 05:55:24.967679  5521 solver.cpp:449] Iteration 37920, lr = 0.0005
I0306 05:55:37.763551  5521 solver.cpp:188] Iteration 37960, loss = 1.31107
I0306 05:55:37.763610  5521 solver.cpp:203]     Train net output #0: loss = 1.31107 (* 1 = 1.31107 loss)
I0306 05:55:37.763628  5521 solver.cpp:449] Iteration 37960, lr = 0.0005
I0306 05:55:50.530982  5521 solver.cpp:188] Iteration 38000, loss = 1.37884
I0306 05:55:50.531132  5521 solver.cpp:203]     Train net output #0: loss = 1.37884 (* 1 = 1.37884 loss)
I0306 05:55:50.531152  5521 solver.cpp:449] Iteration 38000, lr = 0.0005
I0306 05:56:03.275298  5521 solver.cpp:188] Iteration 38040, loss = 1.34066
I0306 05:56:03.275363  5521 solver.cpp:203]     Train net output #0: loss = 1.34066 (* 1 = 1.34066 loss)
I0306 05:56:03.275382  5521 solver.cpp:449] Iteration 38040, lr = 0.0005
I0306 05:56:16.060288  5521 solver.cpp:188] Iteration 38080, loss = 1.37386
I0306 05:56:16.060363  5521 solver.cpp:203]     Train net output #0: loss = 1.37386 (* 1 = 1.37386 loss)
I0306 05:56:16.060384  5521 solver.cpp:449] Iteration 38080, lr = 0.0005
I0306 05:56:28.876976  5521 solver.cpp:188] Iteration 38120, loss = 1.60917
I0306 05:56:28.877107  5521 solver.cpp:203]     Train net output #0: loss = 1.60917 (* 1 = 1.60917 loss)
I0306 05:56:28.877127  5521 solver.cpp:449] Iteration 38120, lr = 0.0005
I0306 05:56:41.630699  5521 solver.cpp:188] Iteration 38160, loss = 1.52728
I0306 05:56:41.630756  5521 solver.cpp:203]     Train net output #0: loss = 1.52728 (* 1 = 1.52728 loss)
I0306 05:56:41.630774  5521 solver.cpp:449] Iteration 38160, lr = 0.0005
I0306 05:56:54.407706  5521 solver.cpp:188] Iteration 38200, loss = 1.51722
I0306 05:56:54.407771  5521 solver.cpp:203]     Train net output #0: loss = 1.51722 (* 1 = 1.51722 loss)
I0306 05:56:54.407790  5521 solver.cpp:449] Iteration 38200, lr = 0.0005
I0306 05:57:07.166074  5521 solver.cpp:188] Iteration 38240, loss = 1.24801
I0306 05:57:07.166198  5521 solver.cpp:203]     Train net output #0: loss = 1.24801 (* 1 = 1.24801 loss)
I0306 05:57:07.166218  5521 solver.cpp:449] Iteration 38240, lr = 0.0005
I0306 05:57:19.923539  5521 solver.cpp:188] Iteration 38280, loss = 1.3798
I0306 05:57:19.923598  5521 solver.cpp:203]     Train net output #0: loss = 1.3798 (* 1 = 1.3798 loss)
I0306 05:57:19.923614  5521 solver.cpp:449] Iteration 38280, lr = 0.0005
I0306 05:57:32.676090  5521 solver.cpp:188] Iteration 38320, loss = 1.48051
I0306 05:57:32.676149  5521 solver.cpp:203]     Train net output #0: loss = 1.48051 (* 1 = 1.48051 loss)
I0306 05:57:32.676167  5521 solver.cpp:449] Iteration 38320, lr = 0.0005
I0306 05:57:45.478063  5521 solver.cpp:188] Iteration 38360, loss = 1.56266
I0306 05:57:45.478178  5521 solver.cpp:203]     Train net output #0: loss = 1.56266 (* 1 = 1.56266 loss)
I0306 05:57:45.478194  5521 solver.cpp:449] Iteration 38360, lr = 0.0005
I0306 05:57:58.234401  5521 solver.cpp:188] Iteration 38400, loss = 1.43032
I0306 05:57:58.234475  5521 solver.cpp:203]     Train net output #0: loss = 1.43032 (* 1 = 1.43032 loss)
I0306 05:57:58.234496  5521 solver.cpp:449] Iteration 38400, lr = 0.0005
I0306 05:58:11.027220  5521 solver.cpp:188] Iteration 38440, loss = 1.39146
I0306 05:58:11.027272  5521 solver.cpp:203]     Train net output #0: loss = 1.39146 (* 1 = 1.39146 loss)
I0306 05:58:11.027287  5521 solver.cpp:449] Iteration 38440, lr = 0.0005
I0306 05:58:23.816848  5521 solver.cpp:188] Iteration 38480, loss = 1.45278
I0306 05:58:23.816967  5521 solver.cpp:203]     Train net output #0: loss = 1.45278 (* 1 = 1.45278 loss)
I0306 05:58:23.816984  5521 solver.cpp:449] Iteration 38480, lr = 0.0005
I0306 05:58:36.579569  5521 solver.cpp:188] Iteration 38520, loss = 1.40797
I0306 05:58:36.579627  5521 solver.cpp:203]     Train net output #0: loss = 1.40797 (* 1 = 1.40797 loss)
I0306 05:58:36.579644  5521 solver.cpp:449] Iteration 38520, lr = 0.0005
I0306 05:58:49.354135  5521 solver.cpp:188] Iteration 38560, loss = 1.31535
I0306 05:58:49.354193  5521 solver.cpp:203]     Train net output #0: loss = 1.31535 (* 1 = 1.31535 loss)
I0306 05:58:49.354210  5521 solver.cpp:449] Iteration 38560, lr = 0.0005
I0306 05:59:02.149296  5521 solver.cpp:188] Iteration 38600, loss = 1.29324
I0306 05:59:02.149416  5521 solver.cpp:203]     Train net output #0: loss = 1.29324 (* 1 = 1.29324 loss)
I0306 05:59:02.149435  5521 solver.cpp:449] Iteration 38600, lr = 0.0005
I0306 05:59:14.917773  5521 solver.cpp:188] Iteration 38640, loss = 1.47861
I0306 05:59:14.917832  5521 solver.cpp:203]     Train net output #0: loss = 1.47861 (* 1 = 1.47861 loss)
I0306 05:59:14.917848  5521 solver.cpp:449] Iteration 38640, lr = 0.0005
I0306 05:59:27.674044  5521 solver.cpp:188] Iteration 38680, loss = 1.27762
I0306 05:59:27.674110  5521 solver.cpp:203]     Train net output #0: loss = 1.27762 (* 1 = 1.27762 loss)
I0306 05:59:27.674127  5521 solver.cpp:449] Iteration 38680, lr = 0.0005
I0306 05:59:40.434728  5521 solver.cpp:188] Iteration 38720, loss = 1.44626
I0306 05:59:40.434891  5521 solver.cpp:203]     Train net output #0: loss = 1.44626 (* 1 = 1.44626 loss)
I0306 05:59:40.434911  5521 solver.cpp:449] Iteration 38720, lr = 0.0005
I0306 05:59:53.231605  5521 solver.cpp:188] Iteration 38760, loss = 1.38041
I0306 05:59:53.231663  5521 solver.cpp:203]     Train net output #0: loss = 1.38041 (* 1 = 1.38041 loss)
I0306 05:59:53.231680  5521 solver.cpp:449] Iteration 38760, lr = 0.0005
I0306 06:00:06.002604  5521 solver.cpp:188] Iteration 38800, loss = 1.44047
I0306 06:00:06.002657  5521 solver.cpp:203]     Train net output #0: loss = 1.44047 (* 1 = 1.44047 loss)
I0306 06:00:06.002672  5521 solver.cpp:449] Iteration 38800, lr = 0.0005
I0306 06:00:18.784281  5521 solver.cpp:188] Iteration 38840, loss = 1.45032
I0306 06:00:18.784404  5521 solver.cpp:203]     Train net output #0: loss = 1.45032 (* 1 = 1.45032 loss)
I0306 06:00:18.784423  5521 solver.cpp:449] Iteration 38840, lr = 0.0005
I0306 06:00:31.569833  5521 solver.cpp:188] Iteration 38880, loss = 1.3818
I0306 06:00:31.569890  5521 solver.cpp:203]     Train net output #0: loss = 1.3818 (* 1 = 1.3818 loss)
I0306 06:00:31.569905  5521 solver.cpp:449] Iteration 38880, lr = 0.0005
I0306 06:00:44.417209  5521 solver.cpp:188] Iteration 38920, loss = 1.2639
I0306 06:00:44.417268  5521 solver.cpp:203]     Train net output #0: loss = 1.2639 (* 1 = 1.2639 loss)
I0306 06:00:44.417284  5521 solver.cpp:449] Iteration 38920, lr = 0.0005
I0306 06:00:57.185430  5521 solver.cpp:188] Iteration 38960, loss = 1.43296
I0306 06:00:57.185534  5521 solver.cpp:203]     Train net output #0: loss = 1.43296 (* 1 = 1.43296 loss)
I0306 06:00:57.185554  5521 solver.cpp:449] Iteration 38960, lr = 0.0005
I0306 06:01:09.954921  5521 solver.cpp:188] Iteration 39000, loss = 1.48188
I0306 06:01:09.954979  5521 solver.cpp:203]     Train net output #0: loss = 1.48188 (* 1 = 1.48188 loss)
I0306 06:01:09.954998  5521 solver.cpp:449] Iteration 39000, lr = 0.0005
I0306 06:01:22.712071  5521 solver.cpp:188] Iteration 39040, loss = 1.27717
I0306 06:01:22.712131  5521 solver.cpp:203]     Train net output #0: loss = 1.27717 (* 1 = 1.27717 loss)
I0306 06:01:22.712146  5521 solver.cpp:449] Iteration 39040, lr = 0.0005
I0306 06:01:35.499737  5521 solver.cpp:188] Iteration 39080, loss = 1.38918
I0306 06:01:35.499938  5521 solver.cpp:203]     Train net output #0: loss = 1.38918 (* 1 = 1.38918 loss)
I0306 06:01:35.499976  5521 solver.cpp:449] Iteration 39080, lr = 0.0005
I0306 06:01:48.249455  5521 solver.cpp:188] Iteration 39120, loss = 1.32697
I0306 06:01:48.249513  5521 solver.cpp:203]     Train net output #0: loss = 1.32697 (* 1 = 1.32697 loss)
I0306 06:01:48.249529  5521 solver.cpp:449] Iteration 39120, lr = 0.0005
I0306 06:02:01.057082  5521 solver.cpp:188] Iteration 39160, loss = 1.33585
I0306 06:02:01.057148  5521 solver.cpp:203]     Train net output #0: loss = 1.33585 (* 1 = 1.33585 loss)
I0306 06:02:01.057167  5521 solver.cpp:449] Iteration 39160, lr = 0.0005
I0306 06:02:13.840745  5521 solver.cpp:188] Iteration 39200, loss = 1.22764
I0306 06:02:13.840847  5521 solver.cpp:203]     Train net output #0: loss = 1.22764 (* 1 = 1.22764 loss)
I0306 06:02:13.840865  5521 solver.cpp:449] Iteration 39200, lr = 0.0005
I0306 06:02:26.623795  5521 solver.cpp:188] Iteration 39240, loss = 1.49015
I0306 06:02:26.623878  5521 solver.cpp:203]     Train net output #0: loss = 1.49015 (* 1 = 1.49015 loss)
I0306 06:02:26.623900  5521 solver.cpp:449] Iteration 39240, lr = 0.0005
I0306 06:02:39.366400  5521 solver.cpp:188] Iteration 39280, loss = 1.337
I0306 06:02:39.366457  5521 solver.cpp:203]     Train net output #0: loss = 1.337 (* 1 = 1.337 loss)
I0306 06:02:39.366474  5521 solver.cpp:449] Iteration 39280, lr = 0.0005
I0306 06:02:52.124019  5521 solver.cpp:188] Iteration 39320, loss = 1.20074
I0306 06:02:52.124153  5521 solver.cpp:203]     Train net output #0: loss = 1.20074 (* 1 = 1.20074 loss)
I0306 06:02:52.124173  5521 solver.cpp:449] Iteration 39320, lr = 0.0005
I0306 06:03:04.902796  5521 solver.cpp:188] Iteration 39360, loss = 1.25946
I0306 06:03:04.902855  5521 solver.cpp:203]     Train net output #0: loss = 1.25946 (* 1 = 1.25946 loss)
I0306 06:03:04.902871  5521 solver.cpp:449] Iteration 39360, lr = 0.0005
I0306 06:03:17.654309  5521 solver.cpp:188] Iteration 39400, loss = 1.37859
I0306 06:03:17.654369  5521 solver.cpp:203]     Train net output #0: loss = 1.37859 (* 1 = 1.37859 loss)
I0306 06:03:17.654386  5521 solver.cpp:449] Iteration 39400, lr = 0.0005
I0306 06:03:30.435590  5521 solver.cpp:188] Iteration 39440, loss = 1.37749
I0306 06:03:30.435711  5521 solver.cpp:203]     Train net output #0: loss = 1.37749 (* 1 = 1.37749 loss)
I0306 06:03:30.435729  5521 solver.cpp:449] Iteration 39440, lr = 0.0005
I0306 06:03:43.287008  5521 solver.cpp:188] Iteration 39480, loss = 1.39772
I0306 06:03:43.287070  5521 solver.cpp:203]     Train net output #0: loss = 1.39772 (* 1 = 1.39772 loss)
I0306 06:03:43.287086  5521 solver.cpp:449] Iteration 39480, lr = 0.0005
I0306 06:03:56.099241  5521 solver.cpp:188] Iteration 39520, loss = 1.27077
I0306 06:03:56.099298  5521 solver.cpp:203]     Train net output #0: loss = 1.27077 (* 1 = 1.27077 loss)
I0306 06:03:56.099314  5521 solver.cpp:449] Iteration 39520, lr = 0.0005
I0306 06:04:08.946037  5521 solver.cpp:188] Iteration 39560, loss = 1.33214
I0306 06:04:08.946162  5521 solver.cpp:203]     Train net output #0: loss = 1.33214 (* 1 = 1.33214 loss)
I0306 06:04:08.946182  5521 solver.cpp:449] Iteration 39560, lr = 0.0005
I0306 06:04:21.789240  5521 solver.cpp:188] Iteration 39600, loss = 1.25488
I0306 06:04:21.789330  5521 solver.cpp:203]     Train net output #0: loss = 1.25488 (* 1 = 1.25488 loss)
I0306 06:04:21.789361  5521 solver.cpp:449] Iteration 39600, lr = 0.0005
I0306 06:04:34.631842  5521 solver.cpp:188] Iteration 39640, loss = 1.42007
I0306 06:04:34.631908  5521 solver.cpp:203]     Train net output #0: loss = 1.42007 (* 1 = 1.42007 loss)
I0306 06:04:34.631927  5521 solver.cpp:449] Iteration 39640, lr = 0.0005
I0306 06:04:47.481048  5521 solver.cpp:188] Iteration 39680, loss = 1.15485
I0306 06:04:47.481168  5521 solver.cpp:203]     Train net output #0: loss = 1.15485 (* 1 = 1.15485 loss)
I0306 06:04:47.481186  5521 solver.cpp:449] Iteration 39680, lr = 0.0005
I0306 06:05:00.336730  5521 solver.cpp:188] Iteration 39720, loss = 1.30124
I0306 06:05:00.336794  5521 solver.cpp:203]     Train net output #0: loss = 1.30124 (* 1 = 1.30124 loss)
I0306 06:05:00.336812  5521 solver.cpp:449] Iteration 39720, lr = 0.0005
I0306 06:05:13.119935  5521 solver.cpp:188] Iteration 39760, loss = 1.38444
I0306 06:05:13.119998  5521 solver.cpp:203]     Train net output #0: loss = 1.38444 (* 1 = 1.38444 loss)
I0306 06:05:13.120015  5521 solver.cpp:449] Iteration 39760, lr = 0.0005
I0306 06:05:25.921653  5521 solver.cpp:188] Iteration 39800, loss = 1.28989
I0306 06:05:25.921790  5521 solver.cpp:203]     Train net output #0: loss = 1.28989 (* 1 = 1.28989 loss)
I0306 06:05:25.921810  5521 solver.cpp:449] Iteration 39800, lr = 0.0005
I0306 06:05:38.683002  5521 solver.cpp:188] Iteration 39840, loss = 1.36958
I0306 06:05:38.683065  5521 solver.cpp:203]     Train net output #0: loss = 1.36958 (* 1 = 1.36958 loss)
I0306 06:05:38.683084  5521 solver.cpp:449] Iteration 39840, lr = 0.0005
I0306 06:05:51.452306  5521 solver.cpp:188] Iteration 39880, loss = 1.20762
I0306 06:05:51.452368  5521 solver.cpp:203]     Train net output #0: loss = 1.20762 (* 1 = 1.20762 loss)
I0306 06:05:51.452385  5521 solver.cpp:449] Iteration 39880, lr = 0.0005
I0306 06:06:04.210724  5521 solver.cpp:188] Iteration 39920, loss = 1.29119
I0306 06:06:04.210834  5521 solver.cpp:203]     Train net output #0: loss = 1.29119 (* 1 = 1.29119 loss)
I0306 06:06:04.210850  5521 solver.cpp:449] Iteration 39920, lr = 0.0005
I0306 06:06:17.015637  5521 solver.cpp:188] Iteration 39960, loss = 1.25244
I0306 06:06:17.015693  5521 solver.cpp:203]     Train net output #0: loss = 1.25244 (* 1 = 1.25244 loss)
I0306 06:06:17.015708  5521 solver.cpp:449] Iteration 39960, lr = 0.0005
I0306 06:06:30.156834  5521 solver.cpp:337] Snapshotting to cache/lsp/lsp_iter_40000.caffemodel
I0306 06:06:31.450676  5521 solver.cpp:345] Snapshotting solver state to cache/lsp/lsp_iter_40000.solverstate
I0306 06:06:32.136268  5521 solver.cpp:266] Iteration 40000, Testing net (#0)
I0306 06:06:48.713428  5521 solver.cpp:317]     Test net output #0: accuracy = 0.573077
I0306 06:06:48.713562  5521 solver.cpp:317]     Test net output #1: loss = 1.56658 (* 1 = 1.56658 loss)
I0306 06:06:48.808346  5521 solver.cpp:188] Iteration 40000, loss = 1.38533
I0306 06:06:48.808404  5521 solver.cpp:203]     Train net output #0: loss = 1.38533 (* 1 = 1.38533 loss)
I0306 06:06:48.808419  5521 solver.cpp:449] Iteration 40000, lr = 5e-05
I0306 06:07:01.231721  5521 solver.cpp:188] Iteration 40040, loss = 1.28959
I0306 06:07:01.231781  5521 solver.cpp:203]     Train net output #0: loss = 1.28959 (* 1 = 1.28959 loss)
I0306 06:07:01.231798  5521 solver.cpp:449] Iteration 40040, lr = 5e-05
I0306 06:07:14.388882  5521 solver.cpp:188] Iteration 40080, loss = 1.32889
I0306 06:07:14.388945  5521 solver.cpp:203]     Train net output #0: loss = 1.32889 (* 1 = 1.32889 loss)
I0306 06:07:14.388964  5521 solver.cpp:449] Iteration 40080, lr = 5e-05
I0306 06:07:27.104758  5521 solver.cpp:188] Iteration 40120, loss = 1.5163
I0306 06:07:27.104926  5521 solver.cpp:203]     Train net output #0: loss = 1.5163 (* 1 = 1.5163 loss)
I0306 06:07:27.104948  5521 solver.cpp:449] Iteration 40120, lr = 5e-05
I0306 06:07:39.779383  5521 solver.cpp:188] Iteration 40160, loss = 1.29458
I0306 06:07:39.779445  5521 solver.cpp:203]     Train net output #0: loss = 1.29458 (* 1 = 1.29458 loss)
I0306 06:07:39.779464  5521 solver.cpp:449] Iteration 40160, lr = 5e-05
I0306 06:07:52.673449  5521 solver.cpp:188] Iteration 40200, loss = 1.29145
I0306 06:07:52.673503  5521 solver.cpp:203]     Train net output #0: loss = 1.29145 (* 1 = 1.29145 loss)
I0306 06:07:52.673518  5521 solver.cpp:449] Iteration 40200, lr = 5e-05
I0306 06:08:05.585448  5521 solver.cpp:188] Iteration 40240, loss = 1.34016
I0306 06:08:05.585571  5521 solver.cpp:203]     Train net output #0: loss = 1.34016 (* 1 = 1.34016 loss)
I0306 06:08:05.585590  5521 solver.cpp:449] Iteration 40240, lr = 5e-05
I0306 06:08:18.497839  5521 solver.cpp:188] Iteration 40280, loss = 1.24876
I0306 06:08:18.497898  5521 solver.cpp:203]     Train net output #0: loss = 1.24876 (* 1 = 1.24876 loss)
I0306 06:08:18.497915  5521 solver.cpp:449] Iteration 40280, lr = 5e-05
I0306 06:08:31.450043  5521 solver.cpp:188] Iteration 40320, loss = 1.31263
I0306 06:08:31.450103  5521 solver.cpp:203]     Train net output #0: loss = 1.31263 (* 1 = 1.31263 loss)
I0306 06:08:31.450119  5521 solver.cpp:449] Iteration 40320, lr = 5e-05
I0306 06:08:44.347020  5521 solver.cpp:188] Iteration 40360, loss = 1.15155
I0306 06:08:44.347148  5521 solver.cpp:203]     Train net output #0: loss = 1.15155 (* 1 = 1.15155 loss)
I0306 06:08:44.347167  5521 solver.cpp:449] Iteration 40360, lr = 5e-05
I0306 06:08:57.249598  5521 solver.cpp:188] Iteration 40400, loss = 1.31144
I0306 06:08:57.249655  5521 solver.cpp:203]     Train net output #0: loss = 1.31144 (* 1 = 1.31144 loss)
I0306 06:08:57.249671  5521 solver.cpp:449] Iteration 40400, lr = 5e-05
I0306 06:09:10.141973  5521 solver.cpp:188] Iteration 40440, loss = 1.28309
I0306 06:09:10.142032  5521 solver.cpp:203]     Train net output #0: loss = 1.28309 (* 1 = 1.28309 loss)
I0306 06:09:10.142050  5521 solver.cpp:449] Iteration 40440, lr = 5e-05
I0306 06:09:23.146097  5521 solver.cpp:188] Iteration 40480, loss = 1.3817
I0306 06:09:23.146214  5521 solver.cpp:203]     Train net output #0: loss = 1.3817 (* 1 = 1.3817 loss)
I0306 06:09:23.146232  5521 solver.cpp:449] Iteration 40480, lr = 5e-05
I0306 06:09:35.803704  5521 solver.cpp:188] Iteration 40520, loss = 1.2704
I0306 06:09:35.803764  5521 solver.cpp:203]     Train net output #0: loss = 1.2704 (* 1 = 1.2704 loss)
I0306 06:09:35.803781  5521 solver.cpp:449] Iteration 40520, lr = 5e-05
I0306 06:09:48.873709  5521 solver.cpp:188] Iteration 40560, loss = 1.24691
I0306 06:09:48.873775  5521 solver.cpp:203]     Train net output #0: loss = 1.24691 (* 1 = 1.24691 loss)
I0306 06:09:48.873790  5521 solver.cpp:449] Iteration 40560, lr = 5e-05
I0306 06:10:01.967341  5521 solver.cpp:188] Iteration 40600, loss = 1.2716
I0306 06:10:01.967489  5521 solver.cpp:203]     Train net output #0: loss = 1.2716 (* 1 = 1.2716 loss)
I0306 06:10:01.967505  5521 solver.cpp:449] Iteration 40600, lr = 5e-05
I0306 06:10:15.124591  5521 solver.cpp:188] Iteration 40640, loss = 1.08899
I0306 06:10:15.124647  5521 solver.cpp:203]     Train net output #0: loss = 1.08899 (* 1 = 1.08899 loss)
I0306 06:10:15.124660  5521 solver.cpp:449] Iteration 40640, lr = 5e-05
I0306 06:10:28.181340  5521 solver.cpp:188] Iteration 40680, loss = 1.14907
I0306 06:10:28.181408  5521 solver.cpp:203]     Train net output #0: loss = 1.14907 (* 1 = 1.14907 loss)
I0306 06:10:28.181423  5521 solver.cpp:449] Iteration 40680, lr = 5e-05
I0306 06:10:41.666446  5521 solver.cpp:188] Iteration 40720, loss = 1.14384
I0306 06:10:41.666596  5521 solver.cpp:203]     Train net output #0: loss = 1.14384 (* 1 = 1.14384 loss)
I0306 06:10:41.666615  5521 solver.cpp:449] Iteration 40720, lr = 5e-05
I0306 06:10:54.842340  5521 solver.cpp:188] Iteration 40760, loss = 1.21668
I0306 06:10:54.842447  5521 solver.cpp:203]     Train net output #0: loss = 1.21668 (* 1 = 1.21668 loss)
I0306 06:10:54.842473  5521 solver.cpp:449] Iteration 40760, lr = 5e-05
I0306 06:11:07.950539  5521 solver.cpp:188] Iteration 40800, loss = 1.1842
I0306 06:11:07.950600  5521 solver.cpp:203]     Train net output #0: loss = 1.1842 (* 1 = 1.1842 loss)
I0306 06:11:07.950614  5521 solver.cpp:449] Iteration 40800, lr = 5e-05
I0306 06:11:20.891262  5521 solver.cpp:188] Iteration 40840, loss = 1.33754
I0306 06:11:20.891376  5521 solver.cpp:203]     Train net output #0: loss = 1.33754 (* 1 = 1.33754 loss)
I0306 06:11:20.891392  5521 solver.cpp:449] Iteration 40840, lr = 5e-05
I0306 06:11:33.868986  5521 solver.cpp:188] Iteration 40880, loss = 1.40371
I0306 06:11:33.869040  5521 solver.cpp:203]     Train net output #0: loss = 1.40371 (* 1 = 1.40371 loss)
I0306 06:11:33.869053  5521 solver.cpp:449] Iteration 40880, lr = 5e-05
I0306 06:11:47.373489  5521 solver.cpp:188] Iteration 40920, loss = 1.3297
I0306 06:11:47.373551  5521 solver.cpp:203]     Train net output #0: loss = 1.3297 (* 1 = 1.3297 loss)
I0306 06:11:47.373565  5521 solver.cpp:449] Iteration 40920, lr = 5e-05
I0306 06:12:00.740213  5521 solver.cpp:188] Iteration 40960, loss = 1.37075
I0306 06:12:00.740329  5521 solver.cpp:203]     Train net output #0: loss = 1.37075 (* 1 = 1.37075 loss)
I0306 06:12:00.740344  5521 solver.cpp:449] Iteration 40960, lr = 5e-05
I0306 06:12:13.696032  5521 solver.cpp:188] Iteration 41000, loss = 1.12064
I0306 06:12:13.696091  5521 solver.cpp:203]     Train net output #0: loss = 1.12064 (* 1 = 1.12064 loss)
I0306 06:12:13.696106  5521 solver.cpp:449] Iteration 41000, lr = 5e-05
I0306 06:12:27.591680  5521 solver.cpp:188] Iteration 41040, loss = 1.31749
I0306 06:12:27.591742  5521 solver.cpp:203]     Train net output #0: loss = 1.31749 (* 1 = 1.31749 loss)
I0306 06:12:27.591758  5521 solver.cpp:449] Iteration 41040, lr = 5e-05
I0306 06:12:40.584406  5521 solver.cpp:188] Iteration 41080, loss = 1.23512
I0306 06:12:40.584527  5521 solver.cpp:203]     Train net output #0: loss = 1.23512 (* 1 = 1.23512 loss)
I0306 06:12:40.584544  5521 solver.cpp:449] Iteration 41080, lr = 5e-05
I0306 06:12:53.847858  5521 solver.cpp:188] Iteration 41120, loss = 1.39832
I0306 06:12:53.847915  5521 solver.cpp:203]     Train net output #0: loss = 1.39832 (* 1 = 1.39832 loss)
I0306 06:12:53.847929  5521 solver.cpp:449] Iteration 41120, lr = 5e-05
I0306 06:13:07.013931  5521 solver.cpp:188] Iteration 41160, loss = 1.26266
I0306 06:13:07.013998  5521 solver.cpp:203]     Train net output #0: loss = 1.26266 (* 1 = 1.26266 loss)
I0306 06:13:07.014013  5521 solver.cpp:449] Iteration 41160, lr = 5e-05
I0306 06:13:19.932644  5521 solver.cpp:188] Iteration 41200, loss = 1.20072
I0306 06:13:19.932796  5521 solver.cpp:203]     Train net output #0: loss = 1.20072 (* 1 = 1.20072 loss)
I0306 06:13:19.932812  5521 solver.cpp:449] Iteration 41200, lr = 5e-05
I0306 06:13:32.969272  5521 solver.cpp:188] Iteration 41240, loss = 1.37095
I0306 06:13:32.969475  5521 solver.cpp:203]     Train net output #0: loss = 1.37095 (* 1 = 1.37095 loss)
I0306 06:13:32.969528  5521 solver.cpp:449] Iteration 41240, lr = 5e-05
I0306 06:13:45.920928  5521 solver.cpp:188] Iteration 41280, loss = 1.43681
I0306 06:13:45.920994  5521 solver.cpp:203]     Train net output #0: loss = 1.43681 (* 1 = 1.43681 loss)
I0306 06:13:45.921010  5521 solver.cpp:449] Iteration 41280, lr = 5e-05
I0306 06:13:59.087491  5521 solver.cpp:188] Iteration 41320, loss = 1.39852
I0306 06:13:59.087743  5521 solver.cpp:203]     Train net output #0: loss = 1.39852 (* 1 = 1.39852 loss)
I0306 06:13:59.087786  5521 solver.cpp:449] Iteration 41320, lr = 5e-05
I0306 06:14:12.067800  5521 solver.cpp:188] Iteration 41360, loss = 1.42692
I0306 06:14:12.068022  5521 solver.cpp:203]     Train net output #0: loss = 1.42692 (* 1 = 1.42692 loss)
I0306 06:14:12.068116  5521 solver.cpp:449] Iteration 41360, lr = 5e-05
I0306 06:14:25.095857  5521 solver.cpp:188] Iteration 41400, loss = 1.27315
I0306 06:14:25.095932  5521 solver.cpp:203]     Train net output #0: loss = 1.27315 (* 1 = 1.27315 loss)
I0306 06:14:25.095952  5521 solver.cpp:449] Iteration 41400, lr = 5e-05
I0306 06:14:38.120874  5521 solver.cpp:188] Iteration 41440, loss = 1.31343
I0306 06:14:38.121227  5521 solver.cpp:203]     Train net output #0: loss = 1.31343 (* 1 = 1.31343 loss)
I0306 06:14:38.121300  5521 solver.cpp:449] Iteration 41440, lr = 5e-05
I0306 06:14:51.184392  5521 solver.cpp:188] Iteration 41480, loss = 1.46794
I0306 06:14:51.184450  5521 solver.cpp:203]     Train net output #0: loss = 1.46794 (* 1 = 1.46794 loss)
I0306 06:14:51.184464  5521 solver.cpp:449] Iteration 41480, lr = 5e-05
I0306 06:15:04.439736  5521 solver.cpp:188] Iteration 41520, loss = 1.28468
I0306 06:15:04.439803  5521 solver.cpp:203]     Train net output #0: loss = 1.28468 (* 1 = 1.28468 loss)
I0306 06:15:04.439821  5521 solver.cpp:449] Iteration 41520, lr = 5e-05
I0306 06:15:17.132828  5521 solver.cpp:188] Iteration 41560, loss = 1.24908
I0306 06:15:17.132987  5521 solver.cpp:203]     Train net output #0: loss = 1.24908 (* 1 = 1.24908 loss)
I0306 06:15:17.133010  5521 solver.cpp:449] Iteration 41560, lr = 5e-05
I0306 06:15:29.896570  5521 solver.cpp:188] Iteration 41600, loss = 1.5521
I0306 06:15:29.896630  5521 solver.cpp:203]     Train net output #0: loss = 1.5521 (* 1 = 1.5521 loss)
I0306 06:15:29.896646  5521 solver.cpp:449] Iteration 41600, lr = 5e-05
I0306 06:15:42.715276  5521 solver.cpp:188] Iteration 41640, loss = 1.30337
I0306 06:15:42.715332  5521 solver.cpp:203]     Train net output #0: loss = 1.30337 (* 1 = 1.30337 loss)
I0306 06:15:42.715349  5521 solver.cpp:449] Iteration 41640, lr = 5e-05
I0306 06:15:55.509861  5521 solver.cpp:188] Iteration 41680, loss = 1.23224
I0306 06:15:55.509950  5521 solver.cpp:203]     Train net output #0: loss = 1.23224 (* 1 = 1.23224 loss)
I0306 06:15:55.509968  5521 solver.cpp:449] Iteration 41680, lr = 5e-05
I0306 06:16:08.277313  5521 solver.cpp:188] Iteration 41720, loss = 1.39591
I0306 06:16:08.277370  5521 solver.cpp:203]     Train net output #0: loss = 1.39591 (* 1 = 1.39591 loss)
I0306 06:16:08.277387  5521 solver.cpp:449] Iteration 41720, lr = 5e-05
I0306 06:16:21.026777  5521 solver.cpp:188] Iteration 41760, loss = 1.26107
I0306 06:16:21.026835  5521 solver.cpp:203]     Train net output #0: loss = 1.26107 (* 1 = 1.26107 loss)
I0306 06:16:21.026854  5521 solver.cpp:449] Iteration 41760, lr = 5e-05
I0306 06:16:34.351444  5521 solver.cpp:188] Iteration 41800, loss = 1.38197
I0306 06:16:34.351599  5521 solver.cpp:203]     Train net output #0: loss = 1.38197 (* 1 = 1.38197 loss)
I0306 06:16:34.351619  5521 solver.cpp:449] Iteration 41800, lr = 5e-05
I0306 06:16:47.120532  5521 solver.cpp:188] Iteration 41840, loss = 1.43657
I0306 06:16:47.120587  5521 solver.cpp:203]     Train net output #0: loss = 1.43657 (* 1 = 1.43657 loss)
I0306 06:16:47.120604  5521 solver.cpp:449] Iteration 41840, lr = 5e-05
I0306 06:16:59.876091  5521 solver.cpp:188] Iteration 41880, loss = 1.50829
I0306 06:16:59.876150  5521 solver.cpp:203]     Train net output #0: loss = 1.50829 (* 1 = 1.50829 loss)
I0306 06:16:59.876168  5521 solver.cpp:449] Iteration 41880, lr = 5e-05
I0306 06:17:12.632562  5521 solver.cpp:188] Iteration 41920, loss = 1.4486
I0306 06:17:12.632652  5521 solver.cpp:203]     Train net output #0: loss = 1.4486 (* 1 = 1.4486 loss)
I0306 06:17:12.632669  5521 solver.cpp:449] Iteration 41920, lr = 5e-05
I0306 06:17:25.371892  5521 solver.cpp:188] Iteration 41960, loss = 1.21941
I0306 06:17:25.371951  5521 solver.cpp:203]     Train net output #0: loss = 1.21941 (* 1 = 1.21941 loss)
I0306 06:17:25.371968  5521 solver.cpp:449] Iteration 41960, lr = 5e-05
I0306 06:17:38.118017  5521 solver.cpp:188] Iteration 42000, loss = 1.2902
I0306 06:17:38.118078  5521 solver.cpp:203]     Train net output #0: loss = 1.2902 (* 1 = 1.2902 loss)
I0306 06:17:38.118095  5521 solver.cpp:449] Iteration 42000, lr = 5e-05
I0306 06:17:50.868558  5521 solver.cpp:188] Iteration 42040, loss = 1.28045
I0306 06:17:50.868674  5521 solver.cpp:203]     Train net output #0: loss = 1.28045 (* 1 = 1.28045 loss)
I0306 06:17:50.868693  5521 solver.cpp:449] Iteration 42040, lr = 5e-05
I0306 06:18:03.623579  5521 solver.cpp:188] Iteration 42080, loss = 1.28615
I0306 06:18:03.623637  5521 solver.cpp:203]     Train net output #0: loss = 1.28615 (* 1 = 1.28615 loss)
I0306 06:18:03.623653  5521 solver.cpp:449] Iteration 42080, lr = 5e-05
I0306 06:18:16.371855  5521 solver.cpp:188] Iteration 42120, loss = 1.30443
I0306 06:18:16.371912  5521 solver.cpp:203]     Train net output #0: loss = 1.30443 (* 1 = 1.30443 loss)
I0306 06:18:16.371927  5521 solver.cpp:449] Iteration 42120, lr = 5e-05
I0306 06:18:29.142385  5521 solver.cpp:188] Iteration 42160, loss = 1.14051
I0306 06:18:29.142527  5521 solver.cpp:203]     Train net output #0: loss = 1.14051 (* 1 = 1.14051 loss)
I0306 06:18:29.142549  5521 solver.cpp:449] Iteration 42160, lr = 5e-05
I0306 06:18:41.924238  5521 solver.cpp:188] Iteration 42200, loss = 1.32617
I0306 06:18:41.924296  5521 solver.cpp:203]     Train net output #0: loss = 1.32617 (* 1 = 1.32617 loss)
I0306 06:18:41.924314  5521 solver.cpp:449] Iteration 42200, lr = 5e-05
I0306 06:18:54.705540  5521 solver.cpp:188] Iteration 42240, loss = 1.33282
I0306 06:18:54.705597  5521 solver.cpp:203]     Train net output #0: loss = 1.33282 (* 1 = 1.33282 loss)
I0306 06:18:54.705615  5521 solver.cpp:449] Iteration 42240, lr = 5e-05
I0306 06:19:07.470590  5521 solver.cpp:188] Iteration 42280, loss = 1.45081
I0306 06:19:07.470733  5521 solver.cpp:203]     Train net output #0: loss = 1.45081 (* 1 = 1.45081 loss)
I0306 06:19:07.470757  5521 solver.cpp:449] Iteration 42280, lr = 5e-05
I0306 06:19:20.240761  5521 solver.cpp:188] Iteration 42320, loss = 1.42206
I0306 06:19:20.240820  5521 solver.cpp:203]     Train net output #0: loss = 1.42206 (* 1 = 1.42206 loss)
I0306 06:19:20.240838  5521 solver.cpp:449] Iteration 42320, lr = 5e-05
I0306 06:19:33.025655  5521 solver.cpp:188] Iteration 42360, loss = 1.32044
I0306 06:19:33.025712  5521 solver.cpp:203]     Train net output #0: loss = 1.32044 (* 1 = 1.32044 loss)
I0306 06:19:33.025729  5521 solver.cpp:449] Iteration 42360, lr = 5e-05
I0306 06:19:45.795888  5521 solver.cpp:188] Iteration 42400, loss = 1.33504
I0306 06:19:45.795985  5521 solver.cpp:203]     Train net output #0: loss = 1.33504 (* 1 = 1.33504 loss)
I0306 06:19:45.796005  5521 solver.cpp:449] Iteration 42400, lr = 5e-05
I0306 06:19:58.557936  5521 solver.cpp:188] Iteration 42440, loss = 1.32872
I0306 06:19:58.557994  5521 solver.cpp:203]     Train net output #0: loss = 1.32872 (* 1 = 1.32872 loss)
I0306 06:19:58.558012  5521 solver.cpp:449] Iteration 42440, lr = 5e-05
I0306 06:20:11.326602  5521 solver.cpp:188] Iteration 42480, loss = 1.3541
I0306 06:20:11.326659  5521 solver.cpp:203]     Train net output #0: loss = 1.3541 (* 1 = 1.3541 loss)
I0306 06:20:11.326675  5521 solver.cpp:449] Iteration 42480, lr = 5e-05
I0306 06:20:24.078516  5521 solver.cpp:188] Iteration 42520, loss = 1.41104
I0306 06:20:24.078685  5521 solver.cpp:203]     Train net output #0: loss = 1.41104 (* 1 = 1.41104 loss)
I0306 06:20:24.078707  5521 solver.cpp:449] Iteration 42520, lr = 5e-05
I0306 06:20:36.844187  5521 solver.cpp:188] Iteration 42560, loss = 1.29092
I0306 06:20:36.844243  5521 solver.cpp:203]     Train net output #0: loss = 1.29092 (* 1 = 1.29092 loss)
I0306 06:20:36.844259  5521 solver.cpp:449] Iteration 42560, lr = 5e-05
I0306 06:20:49.592097  5521 solver.cpp:188] Iteration 42600, loss = 1.33575
I0306 06:20:49.592161  5521 solver.cpp:203]     Train net output #0: loss = 1.33575 (* 1 = 1.33575 loss)
I0306 06:20:49.592180  5521 solver.cpp:449] Iteration 42600, lr = 5e-05
I0306 06:21:02.376150  5521 solver.cpp:188] Iteration 42640, loss = 1.37027
I0306 06:21:02.376263  5521 solver.cpp:203]     Train net output #0: loss = 1.37027 (* 1 = 1.37027 loss)
I0306 06:21:02.376281  5521 solver.cpp:449] Iteration 42640, lr = 5e-05
I0306 06:21:15.136209  5521 solver.cpp:188] Iteration 42680, loss = 1.27758
I0306 06:21:15.136266  5521 solver.cpp:203]     Train net output #0: loss = 1.27758 (* 1 = 1.27758 loss)
I0306 06:21:15.136282  5521 solver.cpp:449] Iteration 42680, lr = 5e-05
I0306 06:21:27.894047  5521 solver.cpp:188] Iteration 42720, loss = 1.33936
I0306 06:21:27.894105  5521 solver.cpp:203]     Train net output #0: loss = 1.33936 (* 1 = 1.33936 loss)
I0306 06:21:27.894121  5521 solver.cpp:449] Iteration 42720, lr = 5e-05
I0306 06:21:40.664585  5521 solver.cpp:188] Iteration 42760, loss = 1.25876
I0306 06:21:40.664698  5521 solver.cpp:203]     Train net output #0: loss = 1.25876 (* 1 = 1.25876 loss)
I0306 06:21:40.664716  5521 solver.cpp:449] Iteration 42760, lr = 5e-05
I0306 06:21:53.436112  5521 solver.cpp:188] Iteration 42800, loss = 1.29594
I0306 06:21:53.436174  5521 solver.cpp:203]     Train net output #0: loss = 1.29594 (* 1 = 1.29594 loss)
I0306 06:21:53.436192  5521 solver.cpp:449] Iteration 42800, lr = 5e-05
I0306 06:22:06.201063  5521 solver.cpp:188] Iteration 42840, loss = 1.38313
I0306 06:22:06.201122  5521 solver.cpp:203]     Train net output #0: loss = 1.38313 (* 1 = 1.38313 loss)
I0306 06:22:06.201138  5521 solver.cpp:449] Iteration 42840, lr = 5e-05
I0306 06:22:19.026418  5521 solver.cpp:188] Iteration 42880, loss = 1.24286
I0306 06:22:19.026541  5521 solver.cpp:203]     Train net output #0: loss = 1.24286 (* 1 = 1.24286 loss)
I0306 06:22:19.026559  5521 solver.cpp:449] Iteration 42880, lr = 5e-05
I0306 06:22:31.799700  5521 solver.cpp:188] Iteration 42920, loss = 1.24986
I0306 06:22:31.799757  5521 solver.cpp:203]     Train net output #0: loss = 1.24986 (* 1 = 1.24986 loss)
I0306 06:22:31.799774  5521 solver.cpp:449] Iteration 42920, lr = 5e-05
I0306 06:22:44.566402  5521 solver.cpp:188] Iteration 42960, loss = 1.3497
I0306 06:22:44.566463  5521 solver.cpp:203]     Train net output #0: loss = 1.3497 (* 1 = 1.3497 loss)
I0306 06:22:44.566481  5521 solver.cpp:449] Iteration 42960, lr = 5e-05
I0306 06:22:57.321295  5521 solver.cpp:188] Iteration 43000, loss = 1.34561
I0306 06:22:57.321423  5521 solver.cpp:203]     Train net output #0: loss = 1.34561 (* 1 = 1.34561 loss)
I0306 06:22:57.321444  5521 solver.cpp:449] Iteration 43000, lr = 5e-05
I0306 06:23:10.063844  5521 solver.cpp:188] Iteration 43040, loss = 1.3832
I0306 06:23:10.063904  5521 solver.cpp:203]     Train net output #0: loss = 1.3832 (* 1 = 1.3832 loss)
I0306 06:23:10.063921  5521 solver.cpp:449] Iteration 43040, lr = 5e-05
I0306 06:23:22.813047  5521 solver.cpp:188] Iteration 43080, loss = 1.22114
I0306 06:23:22.813103  5521 solver.cpp:203]     Train net output #0: loss = 1.22114 (* 1 = 1.22114 loss)
I0306 06:23:22.813119  5521 solver.cpp:449] Iteration 43080, lr = 5e-05
I0306 06:23:35.566234  5521 solver.cpp:188] Iteration 43120, loss = 1.31793
I0306 06:23:35.566423  5521 solver.cpp:203]     Train net output #0: loss = 1.31793 (* 1 = 1.31793 loss)
I0306 06:23:35.566444  5521 solver.cpp:449] Iteration 43120, lr = 5e-05
I0306 06:23:48.338922  5521 solver.cpp:188] Iteration 43160, loss = 1.17749
I0306 06:23:48.338975  5521 solver.cpp:203]     Train net output #0: loss = 1.17749 (* 1 = 1.17749 loss)
I0306 06:23:48.338992  5521 solver.cpp:449] Iteration 43160, lr = 5e-05
I0306 06:24:01.111179  5521 solver.cpp:188] Iteration 43200, loss = 1.34529
I0306 06:24:01.111233  5521 solver.cpp:203]     Train net output #0: loss = 1.34529 (* 1 = 1.34529 loss)
I0306 06:24:01.111249  5521 solver.cpp:449] Iteration 43200, lr = 5e-05
I0306 06:24:13.902917  5521 solver.cpp:188] Iteration 43240, loss = 1.22763
I0306 06:24:13.903018  5521 solver.cpp:203]     Train net output #0: loss = 1.22763 (* 1 = 1.22763 loss)
I0306 06:24:13.903039  5521 solver.cpp:449] Iteration 43240, lr = 5e-05
I0306 06:24:26.681886  5521 solver.cpp:188] Iteration 43280, loss = 1.29251
I0306 06:24:26.681946  5521 solver.cpp:203]     Train net output #0: loss = 1.29251 (* 1 = 1.29251 loss)
I0306 06:24:26.681962  5521 solver.cpp:449] Iteration 43280, lr = 5e-05
I0306 06:24:39.454413  5521 solver.cpp:188] Iteration 43320, loss = 1.29181
I0306 06:24:39.454469  5521 solver.cpp:203]     Train net output #0: loss = 1.29181 (* 1 = 1.29181 loss)
I0306 06:24:39.454485  5521 solver.cpp:449] Iteration 43320, lr = 5e-05
I0306 06:24:52.215698  5521 solver.cpp:188] Iteration 43360, loss = 1.36498
I0306 06:24:52.215821  5521 solver.cpp:203]     Train net output #0: loss = 1.36498 (* 1 = 1.36498 loss)
I0306 06:24:52.215839  5521 solver.cpp:449] Iteration 43360, lr = 5e-05
I0306 06:25:04.977352  5521 solver.cpp:188] Iteration 43400, loss = 1.3015
I0306 06:25:04.977412  5521 solver.cpp:203]     Train net output #0: loss = 1.3015 (* 1 = 1.3015 loss)
I0306 06:25:04.977430  5521 solver.cpp:449] Iteration 43400, lr = 5e-05
I0306 06:25:17.757038  5521 solver.cpp:188] Iteration 43440, loss = 1.31733
I0306 06:25:17.757097  5521 solver.cpp:203]     Train net output #0: loss = 1.31733 (* 1 = 1.31733 loss)
I0306 06:25:17.757113  5521 solver.cpp:449] Iteration 43440, lr = 5e-05
I0306 06:25:30.516338  5521 solver.cpp:188] Iteration 43480, loss = 1.35598
I0306 06:25:30.516463  5521 solver.cpp:203]     Train net output #0: loss = 1.35598 (* 1 = 1.35598 loss)
I0306 06:25:30.516482  5521 solver.cpp:449] Iteration 43480, lr = 5e-05
I0306 06:25:43.283228  5521 solver.cpp:188] Iteration 43520, loss = 1.33062
I0306 06:25:43.283284  5521 solver.cpp:203]     Train net output #0: loss = 1.33062 (* 1 = 1.33062 loss)
I0306 06:25:43.283300  5521 solver.cpp:449] Iteration 43520, lr = 5e-05
I0306 06:25:56.059303  5521 solver.cpp:188] Iteration 43560, loss = 1.26591
I0306 06:25:56.059361  5521 solver.cpp:203]     Train net output #0: loss = 1.26591 (* 1 = 1.26591 loss)
I0306 06:25:56.059378  5521 solver.cpp:449] Iteration 43560, lr = 5e-05
I0306 06:26:08.842370  5521 solver.cpp:188] Iteration 43600, loss = 1.28368
I0306 06:26:08.842490  5521 solver.cpp:203]     Train net output #0: loss = 1.28368 (* 1 = 1.28368 loss)
I0306 06:26:08.842509  5521 solver.cpp:449] Iteration 43600, lr = 5e-05
I0306 06:26:21.612429  5521 solver.cpp:188] Iteration 43640, loss = 1.28131
I0306 06:26:21.612491  5521 solver.cpp:203]     Train net output #0: loss = 1.28131 (* 1 = 1.28131 loss)
I0306 06:26:21.612507  5521 solver.cpp:449] Iteration 43640, lr = 5e-05
I0306 06:26:34.417433  5521 solver.cpp:188] Iteration 43680, loss = 1.30075
I0306 06:26:34.417492  5521 solver.cpp:203]     Train net output #0: loss = 1.30075 (* 1 = 1.30075 loss)
I0306 06:26:34.417508  5521 solver.cpp:449] Iteration 43680, lr = 5e-05
I0306 06:26:47.203178  5521 solver.cpp:188] Iteration 43720, loss = 1.30119
I0306 06:26:47.203372  5521 solver.cpp:203]     Train net output #0: loss = 1.30119 (* 1 = 1.30119 loss)
I0306 06:26:47.203395  5521 solver.cpp:449] Iteration 43720, lr = 5e-05
I0306 06:26:59.980072  5521 solver.cpp:188] Iteration 43760, loss = 1.33009
I0306 06:26:59.980129  5521 solver.cpp:203]     Train net output #0: loss = 1.33009 (* 1 = 1.33009 loss)
I0306 06:26:59.980147  5521 solver.cpp:449] Iteration 43760, lr = 5e-05
I0306 06:27:12.740928  5521 solver.cpp:188] Iteration 43800, loss = 1.25419
I0306 06:27:12.740988  5521 solver.cpp:203]     Train net output #0: loss = 1.25419 (* 1 = 1.25419 loss)
I0306 06:27:12.741005  5521 solver.cpp:449] Iteration 43800, lr = 5e-05
I0306 06:27:25.509455  5521 solver.cpp:188] Iteration 43840, loss = 1.26994
I0306 06:27:25.509608  5521 solver.cpp:203]     Train net output #0: loss = 1.26994 (* 1 = 1.26994 loss)
I0306 06:27:25.509625  5521 solver.cpp:449] Iteration 43840, lr = 5e-05
I0306 06:27:38.265385  5521 solver.cpp:188] Iteration 43880, loss = 1.25884
I0306 06:27:38.265445  5521 solver.cpp:203]     Train net output #0: loss = 1.25884 (* 1 = 1.25884 loss)
I0306 06:27:38.265463  5521 solver.cpp:449] Iteration 43880, lr = 5e-05
I0306 06:27:51.027555  5521 solver.cpp:188] Iteration 43920, loss = 1.2206
I0306 06:27:51.027611  5521 solver.cpp:203]     Train net output #0: loss = 1.2206 (* 1 = 1.2206 loss)
I0306 06:27:51.027626  5521 solver.cpp:449] Iteration 43920, lr = 5e-05
I0306 06:28:03.806777  5521 solver.cpp:188] Iteration 43960, loss = 1.26912
I0306 06:28:03.806911  5521 solver.cpp:203]     Train net output #0: loss = 1.26912 (* 1 = 1.26912 loss)
I0306 06:28:03.806932  5521 solver.cpp:449] Iteration 43960, lr = 5e-05
I0306 06:28:16.554747  5521 solver.cpp:188] Iteration 44000, loss = 1.41458
I0306 06:28:16.554807  5521 solver.cpp:203]     Train net output #0: loss = 1.41458 (* 1 = 1.41458 loss)
I0306 06:28:16.554824  5521 solver.cpp:449] Iteration 44000, lr = 5e-05
I0306 06:28:29.328492  5521 solver.cpp:188] Iteration 44040, loss = 1.22667
I0306 06:28:29.328549  5521 solver.cpp:203]     Train net output #0: loss = 1.22667 (* 1 = 1.22667 loss)
I0306 06:28:29.328563  5521 solver.cpp:449] Iteration 44040, lr = 5e-05
I0306 06:28:42.110332  5521 solver.cpp:188] Iteration 44080, loss = 1.28092
I0306 06:28:42.110476  5521 solver.cpp:203]     Train net output #0: loss = 1.28092 (* 1 = 1.28092 loss)
I0306 06:28:42.110497  5521 solver.cpp:449] Iteration 44080, lr = 5e-05
I0306 06:28:54.884191  5521 solver.cpp:188] Iteration 44120, loss = 1.28287
I0306 06:28:54.884248  5521 solver.cpp:203]     Train net output #0: loss = 1.28287 (* 1 = 1.28287 loss)
I0306 06:28:54.884264  5521 solver.cpp:449] Iteration 44120, lr = 5e-05
I0306 06:29:07.662029  5521 solver.cpp:188] Iteration 44160, loss = 1.30658
I0306 06:29:07.662093  5521 solver.cpp:203]     Train net output #0: loss = 1.30658 (* 1 = 1.30658 loss)
I0306 06:29:07.662111  5521 solver.cpp:449] Iteration 44160, lr = 5e-05
I0306 06:29:20.430479  5521 solver.cpp:188] Iteration 44200, loss = 1.26255
I0306 06:29:20.430595  5521 solver.cpp:203]     Train net output #0: loss = 1.26255 (* 1 = 1.26255 loss)
I0306 06:29:20.430613  5521 solver.cpp:449] Iteration 44200, lr = 5e-05
I0306 06:29:33.205503  5521 solver.cpp:188] Iteration 44240, loss = 1.10296
I0306 06:29:33.205567  5521 solver.cpp:203]     Train net output #0: loss = 1.10296 (* 1 = 1.10296 loss)
I0306 06:29:33.205584  5521 solver.cpp:449] Iteration 44240, lr = 5e-05
I0306 06:29:46.013463  5521 solver.cpp:188] Iteration 44280, loss = 1.3866
I0306 06:29:46.013522  5521 solver.cpp:203]     Train net output #0: loss = 1.3866 (* 1 = 1.3866 loss)
I0306 06:29:46.013550  5521 solver.cpp:449] Iteration 44280, lr = 5e-05
I0306 06:29:58.806634  5521 solver.cpp:188] Iteration 44320, loss = 1.34863
I0306 06:29:58.806782  5521 solver.cpp:203]     Train net output #0: loss = 1.34863 (* 1 = 1.34863 loss)
I0306 06:29:58.806807  5521 solver.cpp:449] Iteration 44320, lr = 5e-05
I0306 06:30:11.604166  5521 solver.cpp:188] Iteration 44360, loss = 1.33044
I0306 06:30:11.604228  5521 solver.cpp:203]     Train net output #0: loss = 1.33044 (* 1 = 1.33044 loss)
I0306 06:30:11.604244  5521 solver.cpp:449] Iteration 44360, lr = 5e-05
I0306 06:30:24.380952  5521 solver.cpp:188] Iteration 44400, loss = 1.28512
I0306 06:30:24.381011  5521 solver.cpp:203]     Train net output #0: loss = 1.28512 (* 1 = 1.28512 loss)
I0306 06:30:24.381026  5521 solver.cpp:449] Iteration 44400, lr = 5e-05
I0306 06:30:37.185351  5521 solver.cpp:188] Iteration 44440, loss = 1.16784
I0306 06:30:37.185519  5521 solver.cpp:203]     Train net output #0: loss = 1.16784 (* 1 = 1.16784 loss)
I0306 06:30:37.185539  5521 solver.cpp:449] Iteration 44440, lr = 5e-05
I0306 06:30:49.944967  5521 solver.cpp:188] Iteration 44480, loss = 1.15643
I0306 06:30:49.945027  5521 solver.cpp:203]     Train net output #0: loss = 1.15643 (* 1 = 1.15643 loss)
I0306 06:30:49.945044  5521 solver.cpp:449] Iteration 44480, lr = 5e-05
I0306 06:31:02.727700  5521 solver.cpp:188] Iteration 44520, loss = 1.15992
I0306 06:31:02.727757  5521 solver.cpp:203]     Train net output #0: loss = 1.15992 (* 1 = 1.15992 loss)
I0306 06:31:02.727773  5521 solver.cpp:449] Iteration 44520, lr = 5e-05
I0306 06:31:15.498978  5521 solver.cpp:188] Iteration 44560, loss = 1.29174
I0306 06:31:15.499109  5521 solver.cpp:203]     Train net output #0: loss = 1.29174 (* 1 = 1.29174 loss)
I0306 06:31:15.499128  5521 solver.cpp:449] Iteration 44560, lr = 5e-05
I0306 06:31:28.268568  5521 solver.cpp:188] Iteration 44600, loss = 1.26695
I0306 06:31:28.268630  5521 solver.cpp:203]     Train net output #0: loss = 1.26695 (* 1 = 1.26695 loss)
I0306 06:31:28.268648  5521 solver.cpp:449] Iteration 44600, lr = 5e-05
I0306 06:31:41.042115  5521 solver.cpp:188] Iteration 44640, loss = 1.24608
I0306 06:31:41.042176  5521 solver.cpp:203]     Train net output #0: loss = 1.24608 (* 1 = 1.24608 loss)
I0306 06:31:41.042191  5521 solver.cpp:449] Iteration 44640, lr = 5e-05
I0306 06:31:53.802871  5521 solver.cpp:188] Iteration 44680, loss = 1.3097
I0306 06:31:53.803004  5521 solver.cpp:203]     Train net output #0: loss = 1.3097 (* 1 = 1.3097 loss)
I0306 06:31:53.803020  5521 solver.cpp:449] Iteration 44680, lr = 5e-05
I0306 06:32:06.566983  5521 solver.cpp:188] Iteration 44720, loss = 1.30861
I0306 06:32:06.567044  5521 solver.cpp:203]     Train net output #0: loss = 1.30861 (* 1 = 1.30861 loss)
I0306 06:32:06.567067  5521 solver.cpp:449] Iteration 44720, lr = 5e-05
I0306 06:32:19.319517  5521 solver.cpp:188] Iteration 44760, loss = 1.24588
I0306 06:32:19.319573  5521 solver.cpp:203]     Train net output #0: loss = 1.24588 (* 1 = 1.24588 loss)
I0306 06:32:19.319589  5521 solver.cpp:449] Iteration 44760, lr = 5e-05
I0306 06:32:32.406026  5521 solver.cpp:188] Iteration 44800, loss = 1.2304
I0306 06:32:32.406148  5521 solver.cpp:203]     Train net output #0: loss = 1.2304 (* 1 = 1.2304 loss)
I0306 06:32:32.406167  5521 solver.cpp:449] Iteration 44800, lr = 5e-05
I0306 06:32:45.170450  5521 solver.cpp:188] Iteration 44840, loss = 1.40034
I0306 06:32:45.170507  5521 solver.cpp:203]     Train net output #0: loss = 1.40034 (* 1 = 1.40034 loss)
I0306 06:32:45.170523  5521 solver.cpp:449] Iteration 44840, lr = 5e-05
I0306 06:32:57.946291  5521 solver.cpp:188] Iteration 44880, loss = 1.27505
I0306 06:32:57.946355  5521 solver.cpp:203]     Train net output #0: loss = 1.27505 (* 1 = 1.27505 loss)
I0306 06:32:57.946370  5521 solver.cpp:449] Iteration 44880, lr = 5e-05
I0306 06:33:10.745980  5521 solver.cpp:188] Iteration 44920, loss = 1.21573
I0306 06:33:10.746094  5521 solver.cpp:203]     Train net output #0: loss = 1.21573 (* 1 = 1.21573 loss)
I0306 06:33:10.746110  5521 solver.cpp:449] Iteration 44920, lr = 5e-05
I0306 06:33:23.544868  5521 solver.cpp:188] Iteration 44960, loss = 1.27071
I0306 06:33:23.544929  5521 solver.cpp:203]     Train net output #0: loss = 1.27071 (* 1 = 1.27071 loss)
I0306 06:33:23.544945  5521 solver.cpp:449] Iteration 44960, lr = 5e-05
I0306 06:33:36.689237  5521 solver.cpp:337] Snapshotting to cache/lsp/lsp_iter_45000.caffemodel
I0306 06:33:37.851124  5521 solver.cpp:345] Snapshotting solver state to cache/lsp/lsp_iter_45000.solverstate
I0306 06:33:38.587755  5521 solver.cpp:266] Iteration 45000, Testing net (#0)
I0306 06:33:55.313161  5521 solver.cpp:317]     Test net output #0: accuracy = 0.578788
I0306 06:33:55.313295  5521 solver.cpp:317]     Test net output #1: loss = 1.53955 (* 1 = 1.53955 loss)
I0306 06:33:55.408262  5521 solver.cpp:188] Iteration 45000, loss = 1.15554
I0306 06:33:55.408329  5521 solver.cpp:203]     Train net output #0: loss = 1.15554 (* 1 = 1.15554 loss)
I0306 06:33:55.408349  5521 solver.cpp:449] Iteration 45000, lr = 5e-05
I0306 06:34:07.816493  5521 solver.cpp:188] Iteration 45040, loss = 1.18383
I0306 06:34:07.816558  5521 solver.cpp:203]     Train net output #0: loss = 1.18383 (* 1 = 1.18383 loss)
I0306 06:34:07.816576  5521 solver.cpp:449] Iteration 45040, lr = 5e-05
I0306 06:34:20.762680  5521 solver.cpp:188] Iteration 45080, loss = 1.22256
I0306 06:34:20.762742  5521 solver.cpp:203]     Train net output #0: loss = 1.22256 (* 1 = 1.22256 loss)
I0306 06:34:20.762758  5521 solver.cpp:449] Iteration 45080, lr = 5e-05
I0306 06:34:33.704553  5521 solver.cpp:188] Iteration 45120, loss = 1.35625
I0306 06:34:33.704639  5521 solver.cpp:203]     Train net output #0: loss = 1.35625 (* 1 = 1.35625 loss)
I0306 06:34:33.704656  5521 solver.cpp:449] Iteration 45120, lr = 5e-05
I0306 06:34:46.661209  5521 solver.cpp:188] Iteration 45160, loss = 1.17719
I0306 06:34:46.661265  5521 solver.cpp:203]     Train net output #0: loss = 1.17719 (* 1 = 1.17719 loss)
I0306 06:34:46.661279  5521 solver.cpp:449] Iteration 45160, lr = 5e-05
I0306 06:34:59.517518  5521 solver.cpp:188] Iteration 45200, loss = 1.2546
I0306 06:34:59.517586  5521 solver.cpp:203]     Train net output #0: loss = 1.2546 (* 1 = 1.2546 loss)
I0306 06:34:59.517602  5521 solver.cpp:449] Iteration 45200, lr = 5e-05
I0306 06:35:12.260535  5521 solver.cpp:188] Iteration 45240, loss = 1.04492
I0306 06:35:12.260650  5521 solver.cpp:203]     Train net output #0: loss = 1.04492 (* 1 = 1.04492 loss)
I0306 06:35:12.260668  5521 solver.cpp:449] Iteration 45240, lr = 5e-05
I0306 06:35:24.930953  5521 solver.cpp:188] Iteration 45280, loss = 1.09858
I0306 06:35:24.931009  5521 solver.cpp:203]     Train net output #0: loss = 1.09858 (* 1 = 1.09858 loss)
I0306 06:35:24.931023  5521 solver.cpp:449] Iteration 45280, lr = 5e-05
I0306 06:35:37.657876  5521 solver.cpp:188] Iteration 45320, loss = 1.18956
I0306 06:35:37.657933  5521 solver.cpp:203]     Train net output #0: loss = 1.18956 (* 1 = 1.18956 loss)
I0306 06:35:37.657948  5521 solver.cpp:449] Iteration 45320, lr = 5e-05
I0306 06:35:50.455178  5521 solver.cpp:188] Iteration 45360, loss = 1.22354
I0306 06:35:50.455297  5521 solver.cpp:203]     Train net output #0: loss = 1.22354 (* 1 = 1.22354 loss)
I0306 06:35:50.455315  5521 solver.cpp:449] Iteration 45360, lr = 5e-05
I0306 06:36:03.321671  5521 solver.cpp:188] Iteration 45400, loss = 1.18369
I0306 06:36:03.321728  5521 solver.cpp:203]     Train net output #0: loss = 1.18369 (* 1 = 1.18369 loss)
I0306 06:36:03.321744  5521 solver.cpp:449] Iteration 45400, lr = 5e-05
I0306 06:36:16.080006  5521 solver.cpp:188] Iteration 45440, loss = 1.07924
I0306 06:36:16.080066  5521 solver.cpp:203]     Train net output #0: loss = 1.07924 (* 1 = 1.07924 loss)
I0306 06:36:16.080083  5521 solver.cpp:449] Iteration 45440, lr = 5e-05
I0306 06:36:28.850945  5521 solver.cpp:188] Iteration 45480, loss = 1.371
I0306 06:36:28.851065  5521 solver.cpp:203]     Train net output #0: loss = 1.371 (* 1 = 1.371 loss)
I0306 06:36:28.851083  5521 solver.cpp:449] Iteration 45480, lr = 5e-05
I0306 06:36:41.642747  5521 solver.cpp:188] Iteration 45520, loss = 1.33536
I0306 06:36:41.642804  5521 solver.cpp:203]     Train net output #0: loss = 1.33536 (* 1 = 1.33536 loss)
I0306 06:36:41.642820  5521 solver.cpp:449] Iteration 45520, lr = 5e-05
I0306 06:36:54.429961  5521 solver.cpp:188] Iteration 45560, loss = 1.47364
I0306 06:36:54.430017  5521 solver.cpp:203]     Train net output #0: loss = 1.47364 (* 1 = 1.47364 loss)
I0306 06:36:54.430033  5521 solver.cpp:449] Iteration 45560, lr = 5e-05
I0306 06:37:07.251422  5521 solver.cpp:188] Iteration 45600, loss = 1.35311
I0306 06:37:07.251535  5521 solver.cpp:203]     Train net output #0: loss = 1.35311 (* 1 = 1.35311 loss)
I0306 06:37:07.251554  5521 solver.cpp:449] Iteration 45600, lr = 5e-05
I0306 06:37:20.070709  5521 solver.cpp:188] Iteration 45640, loss = 1.45868
I0306 06:37:20.070777  5521 solver.cpp:203]     Train net output #0: loss = 1.45868 (* 1 = 1.45868 loss)
I0306 06:37:20.070794  5521 solver.cpp:449] Iteration 45640, lr = 5e-05
I0306 06:37:32.871371  5521 solver.cpp:188] Iteration 45680, loss = 1.25447
I0306 06:37:32.871424  5521 solver.cpp:203]     Train net output #0: loss = 1.25447 (* 1 = 1.25447 loss)
I0306 06:37:32.871440  5521 solver.cpp:449] Iteration 45680, lr = 5e-05
I0306 06:37:45.686920  5521 solver.cpp:188] Iteration 45720, loss = 1.45392
I0306 06:37:45.687115  5521 solver.cpp:203]     Train net output #0: loss = 1.45392 (* 1 = 1.45392 loss)
I0306 06:37:45.687136  5521 solver.cpp:449] Iteration 45720, lr = 5e-05
I0306 06:37:58.472354  5521 solver.cpp:188] Iteration 45760, loss = 1.31073
I0306 06:37:58.472412  5521 solver.cpp:203]     Train net output #0: loss = 1.31073 (* 1 = 1.31073 loss)
I0306 06:37:58.472427  5521 solver.cpp:449] Iteration 45760, lr = 5e-05
I0306 06:38:11.253070  5521 solver.cpp:188] Iteration 45800, loss = 1.31381
I0306 06:38:11.253134  5521 solver.cpp:203]     Train net output #0: loss = 1.31381 (* 1 = 1.31381 loss)
I0306 06:38:11.253149  5521 solver.cpp:449] Iteration 45800, lr = 5e-05
I0306 06:38:24.030066  5521 solver.cpp:188] Iteration 45840, loss = 1.36859
I0306 06:38:24.030195  5521 solver.cpp:203]     Train net output #0: loss = 1.36859 (* 1 = 1.36859 loss)
I0306 06:38:24.030211  5521 solver.cpp:449] Iteration 45840, lr = 5e-05
I0306 06:38:36.820839  5521 solver.cpp:188] Iteration 45880, loss = 1.28356
I0306 06:38:36.820901  5521 solver.cpp:203]     Train net output #0: loss = 1.28356 (* 1 = 1.28356 loss)
I0306 06:38:36.820919  5521 solver.cpp:449] Iteration 45880, lr = 5e-05
I0306 06:38:49.613122  5521 solver.cpp:188] Iteration 45920, loss = 1.30989
I0306 06:38:49.613180  5521 solver.cpp:203]     Train net output #0: loss = 1.30989 (* 1 = 1.30989 loss)
I0306 06:38:49.613195  5521 solver.cpp:449] Iteration 45920, lr = 5e-05
I0306 06:39:02.393453  5521 solver.cpp:188] Iteration 45960, loss = 1.29818
I0306 06:39:02.393584  5521 solver.cpp:203]     Train net output #0: loss = 1.29818 (* 1 = 1.29818 loss)
I0306 06:39:02.393601  5521 solver.cpp:449] Iteration 45960, lr = 5e-05
I0306 06:39:15.185132  5521 solver.cpp:188] Iteration 46000, loss = 1.30893
I0306 06:39:15.185184  5521 solver.cpp:203]     Train net output #0: loss = 1.30893 (* 1 = 1.30893 loss)
I0306 06:39:15.185199  5521 solver.cpp:449] Iteration 46000, lr = 5e-05
I0306 06:39:27.973369  5521 solver.cpp:188] Iteration 46040, loss = 1.30055
I0306 06:39:27.973428  5521 solver.cpp:203]     Train net output #0: loss = 1.30055 (* 1 = 1.30055 loss)
I0306 06:39:27.973445  5521 solver.cpp:449] Iteration 46040, lr = 5e-05
I0306 06:39:40.754534  5521 solver.cpp:188] Iteration 46080, loss = 1.2711
I0306 06:39:40.754645  5521 solver.cpp:203]     Train net output #0: loss = 1.2711 (* 1 = 1.2711 loss)
I0306 06:39:40.754662  5521 solver.cpp:449] Iteration 46080, lr = 5e-05
I0306 06:39:53.536425  5521 solver.cpp:188] Iteration 46120, loss = 1.3726
I0306 06:39:53.536484  5521 solver.cpp:203]     Train net output #0: loss = 1.3726 (* 1 = 1.3726 loss)
I0306 06:39:53.536500  5521 solver.cpp:449] Iteration 46120, lr = 5e-05
I0306 06:40:06.334952  5521 solver.cpp:188] Iteration 46160, loss = 1.27788
I0306 06:40:06.335012  5521 solver.cpp:203]     Train net output #0: loss = 1.27788 (* 1 = 1.27788 loss)
I0306 06:40:06.335028  5521 solver.cpp:449] Iteration 46160, lr = 5e-05
I0306 06:40:19.113517  5521 solver.cpp:188] Iteration 46200, loss = 1.25942
I0306 06:40:19.113639  5521 solver.cpp:203]     Train net output #0: loss = 1.25942 (* 1 = 1.25942 loss)
I0306 06:40:19.113657  5521 solver.cpp:449] Iteration 46200, lr = 5e-05
I0306 06:40:31.911573  5521 solver.cpp:188] Iteration 46240, loss = 1.21365
I0306 06:40:31.911645  5521 solver.cpp:203]     Train net output #0: loss = 1.21365 (* 1 = 1.21365 loss)
I0306 06:40:31.911662  5521 solver.cpp:449] Iteration 46240, lr = 5e-05
I0306 06:40:44.727242  5521 solver.cpp:188] Iteration 46280, loss = 1.43347
I0306 06:40:44.727300  5521 solver.cpp:203]     Train net output #0: loss = 1.43347 (* 1 = 1.43347 loss)
I0306 06:40:44.727316  5521 solver.cpp:449] Iteration 46280, lr = 5e-05
I0306 06:40:57.525015  5521 solver.cpp:188] Iteration 46320, loss = 1.33498
I0306 06:40:57.525168  5521 solver.cpp:203]     Train net output #0: loss = 1.33498 (* 1 = 1.33498 loss)
I0306 06:40:57.525188  5521 solver.cpp:449] Iteration 46320, lr = 5e-05
I0306 06:41:10.321470  5521 solver.cpp:188] Iteration 46360, loss = 1.31595
I0306 06:41:10.321537  5521 solver.cpp:203]     Train net output #0: loss = 1.31595 (* 1 = 1.31595 loss)
I0306 06:41:10.321555  5521 solver.cpp:449] Iteration 46360, lr = 5e-05
I0306 06:41:23.100708  5521 solver.cpp:188] Iteration 46400, loss = 1.30484
I0306 06:41:23.100770  5521 solver.cpp:203]     Train net output #0: loss = 1.30484 (* 1 = 1.30484 loss)
I0306 06:41:23.100787  5521 solver.cpp:449] Iteration 46400, lr = 5e-05
I0306 06:41:35.896519  5521 solver.cpp:188] Iteration 46440, loss = 1.34451
I0306 06:41:35.896616  5521 solver.cpp:203]     Train net output #0: loss = 1.34451 (* 1 = 1.34451 loss)
I0306 06:41:35.896636  5521 solver.cpp:449] Iteration 46440, lr = 5e-05
I0306 06:41:48.695370  5521 solver.cpp:188] Iteration 46480, loss = 1.24864
I0306 06:41:48.695430  5521 solver.cpp:203]     Train net output #0: loss = 1.24864 (* 1 = 1.24864 loss)
I0306 06:41:48.695446  5521 solver.cpp:449] Iteration 46480, lr = 5e-05
I0306 06:42:01.474117  5521 solver.cpp:188] Iteration 46520, loss = 1.2268
I0306 06:42:01.474180  5521 solver.cpp:203]     Train net output #0: loss = 1.2268 (* 1 = 1.2268 loss)
I0306 06:42:01.474196  5521 solver.cpp:449] Iteration 46520, lr = 5e-05
I0306 06:42:14.245748  5521 solver.cpp:188] Iteration 46560, loss = 1.28497
I0306 06:42:14.245863  5521 solver.cpp:203]     Train net output #0: loss = 1.28497 (* 1 = 1.28497 loss)
I0306 06:42:14.245882  5521 solver.cpp:449] Iteration 46560, lr = 5e-05
I0306 06:42:27.121214  5521 solver.cpp:188] Iteration 46600, loss = 1.39853
I0306 06:42:27.121273  5521 solver.cpp:203]     Train net output #0: loss = 1.39853 (* 1 = 1.39853 loss)
I0306 06:42:27.121289  5521 solver.cpp:449] Iteration 46600, lr = 5e-05
I0306 06:42:39.877802  5521 solver.cpp:188] Iteration 46640, loss = 1.2397
I0306 06:42:39.877864  5521 solver.cpp:203]     Train net output #0: loss = 1.2397 (* 1 = 1.2397 loss)
I0306 06:42:39.877882  5521 solver.cpp:449] Iteration 46640, lr = 5e-05
I0306 06:42:52.643833  5521 solver.cpp:188] Iteration 46680, loss = 1.29917
I0306 06:42:52.643915  5521 solver.cpp:203]     Train net output #0: loss = 1.29917 (* 1 = 1.29917 loss)
I0306 06:42:52.643932  5521 solver.cpp:449] Iteration 46680, lr = 5e-05
I0306 06:43:05.425549  5521 solver.cpp:188] Iteration 46720, loss = 1.41113
I0306 06:43:05.425607  5521 solver.cpp:203]     Train net output #0: loss = 1.41113 (* 1 = 1.41113 loss)
I0306 06:43:05.425624  5521 solver.cpp:449] Iteration 46720, lr = 5e-05
I0306 06:43:18.220501  5521 solver.cpp:188] Iteration 46760, loss = 1.38987
I0306 06:43:18.220561  5521 solver.cpp:203]     Train net output #0: loss = 1.38987 (* 1 = 1.38987 loss)
I0306 06:43:18.220577  5521 solver.cpp:449] Iteration 46760, lr = 5e-05
I0306 06:43:30.998613  5521 solver.cpp:188] Iteration 46800, loss = 1.27377
I0306 06:43:30.998736  5521 solver.cpp:203]     Train net output #0: loss = 1.27377 (* 1 = 1.27377 loss)
I0306 06:43:30.998754  5521 solver.cpp:449] Iteration 46800, lr = 5e-05
I0306 06:43:43.783706  5521 solver.cpp:188] Iteration 46840, loss = 1.37395
I0306 06:43:43.783774  5521 solver.cpp:203]     Train net output #0: loss = 1.37395 (* 1 = 1.37395 loss)
I0306 06:43:43.783792  5521 solver.cpp:449] Iteration 46840, lr = 5e-05
I0306 06:43:56.568903  5521 solver.cpp:188] Iteration 46880, loss = 1.40178
I0306 06:43:56.568967  5521 solver.cpp:203]     Train net output #0: loss = 1.40178 (* 1 = 1.40178 loss)
I0306 06:43:56.568984  5521 solver.cpp:449] Iteration 46880, lr = 5e-05
I0306 06:44:09.351511  5521 solver.cpp:188] Iteration 46920, loss = 1.3095
I0306 06:44:09.351665  5521 solver.cpp:203]     Train net output #0: loss = 1.3095 (* 1 = 1.3095 loss)
I0306 06:44:09.351685  5521 solver.cpp:449] Iteration 46920, lr = 5e-05
I0306 06:44:22.138572  5521 solver.cpp:188] Iteration 46960, loss = 1.30464
I0306 06:44:22.138631  5521 solver.cpp:203]     Train net output #0: loss = 1.30464 (* 1 = 1.30464 loss)
I0306 06:44:22.138646  5521 solver.cpp:449] Iteration 46960, lr = 5e-05
I0306 06:44:34.947715  5521 solver.cpp:188] Iteration 47000, loss = 1.31291
I0306 06:44:34.947769  5521 solver.cpp:203]     Train net output #0: loss = 1.31291 (* 1 = 1.31291 loss)
I0306 06:44:34.947784  5521 solver.cpp:449] Iteration 47000, lr = 5e-05
I0306 06:44:47.750388  5521 solver.cpp:188] Iteration 47040, loss = 1.47006
I0306 06:44:47.750512  5521 solver.cpp:203]     Train net output #0: loss = 1.47006 (* 1 = 1.47006 loss)
I0306 06:44:47.750530  5521 solver.cpp:449] Iteration 47040, lr = 5e-05
I0306 06:45:00.553834  5521 solver.cpp:188] Iteration 47080, loss = 1.42072
I0306 06:45:00.553902  5521 solver.cpp:203]     Train net output #0: loss = 1.42072 (* 1 = 1.42072 loss)
I0306 06:45:00.553920  5521 solver.cpp:449] Iteration 47080, lr = 5e-05
I0306 06:45:13.350671  5521 solver.cpp:188] Iteration 47120, loss = 1.18464
I0306 06:45:13.350726  5521 solver.cpp:203]     Train net output #0: loss = 1.18464 (* 1 = 1.18464 loss)
I0306 06:45:13.350740  5521 solver.cpp:449] Iteration 47120, lr = 5e-05
I0306 06:45:26.142166  5521 solver.cpp:188] Iteration 47160, loss = 1.27139
I0306 06:45:26.142274  5521 solver.cpp:203]     Train net output #0: loss = 1.27139 (* 1 = 1.27139 loss)
I0306 06:45:26.142292  5521 solver.cpp:449] Iteration 47160, lr = 5e-05
I0306 06:45:38.931135  5521 solver.cpp:188] Iteration 47200, loss = 1.30161
I0306 06:45:38.931190  5521 solver.cpp:203]     Train net output #0: loss = 1.30161 (* 1 = 1.30161 loss)
I0306 06:45:38.931205  5521 solver.cpp:449] Iteration 47200, lr = 5e-05
I0306 06:45:51.717805  5521 solver.cpp:188] Iteration 47240, loss = 1.31365
I0306 06:45:51.717862  5521 solver.cpp:203]     Train net output #0: loss = 1.31365 (* 1 = 1.31365 loss)
I0306 06:45:51.717877  5521 solver.cpp:449] Iteration 47240, lr = 5e-05
I0306 06:46:04.504209  5521 solver.cpp:188] Iteration 47280, loss = 1.33016
I0306 06:46:04.504323  5521 solver.cpp:203]     Train net output #0: loss = 1.33016 (* 1 = 1.33016 loss)
I0306 06:46:04.504339  5521 solver.cpp:449] Iteration 47280, lr = 5e-05
I0306 06:46:17.296282  5521 solver.cpp:188] Iteration 47320, loss = 1.38547
I0306 06:46:17.296337  5521 solver.cpp:203]     Train net output #0: loss = 1.38547 (* 1 = 1.38547 loss)
I0306 06:46:17.296352  5521 solver.cpp:449] Iteration 47320, lr = 5e-05
I0306 06:46:30.098817  5521 solver.cpp:188] Iteration 47360, loss = 1.31184
I0306 06:46:30.098901  5521 solver.cpp:203]     Train net output #0: loss = 1.31184 (* 1 = 1.31184 loss)
I0306 06:46:30.098924  5521 solver.cpp:449] Iteration 47360, lr = 5e-05
I0306 06:46:42.907686  5521 solver.cpp:188] Iteration 47400, loss = 1.26291
I0306 06:46:42.970872  5521 solver.cpp:203]     Train net output #0: loss = 1.26291 (* 1 = 1.26291 loss)
I0306 06:46:42.970906  5521 solver.cpp:449] Iteration 47400, lr = 5e-05
I0306 06:46:55.721642  5521 solver.cpp:188] Iteration 47440, loss = 1.33053
I0306 06:46:55.721699  5521 solver.cpp:203]     Train net output #0: loss = 1.33053 (* 1 = 1.33053 loss)
I0306 06:46:55.721714  5521 solver.cpp:449] Iteration 47440, lr = 5e-05
I0306 06:47:08.513053  5521 solver.cpp:188] Iteration 47480, loss = 1.22966
I0306 06:47:08.513114  5521 solver.cpp:203]     Train net output #0: loss = 1.22966 (* 1 = 1.22966 loss)
I0306 06:47:08.513130  5521 solver.cpp:449] Iteration 47480, lr = 5e-05
I0306 06:47:21.280980  5521 solver.cpp:188] Iteration 47520, loss = 1.27882
I0306 06:47:21.281095  5521 solver.cpp:203]     Train net output #0: loss = 1.27882 (* 1 = 1.27882 loss)
I0306 06:47:21.281113  5521 solver.cpp:449] Iteration 47520, lr = 5e-05
I0306 06:47:34.047214  5521 solver.cpp:188] Iteration 47560, loss = 1.31694
I0306 06:47:34.047266  5521 solver.cpp:203]     Train net output #0: loss = 1.31694 (* 1 = 1.31694 loss)
I0306 06:47:34.047281  5521 solver.cpp:449] Iteration 47560, lr = 5e-05
I0306 06:47:46.825316  5521 solver.cpp:188] Iteration 47600, loss = 1.2524
I0306 06:47:46.825382  5521 solver.cpp:203]     Train net output #0: loss = 1.2524 (* 1 = 1.2524 loss)
I0306 06:47:46.825400  5521 solver.cpp:449] Iteration 47600, lr = 5e-05
I0306 06:47:59.576242  5521 solver.cpp:188] Iteration 47640, loss = 1.15132
I0306 06:47:59.576406  5521 solver.cpp:203]     Train net output #0: loss = 1.15132 (* 1 = 1.15132 loss)
I0306 06:47:59.576427  5521 solver.cpp:449] Iteration 47640, lr = 5e-05
I0306 06:48:12.344022  5521 solver.cpp:188] Iteration 47680, loss = 1.19367
I0306 06:48:12.344076  5521 solver.cpp:203]     Train net output #0: loss = 1.19367 (* 1 = 1.19367 loss)
I0306 06:48:12.344090  5521 solver.cpp:449] Iteration 47680, lr = 5e-05
I0306 06:48:25.113798  5521 solver.cpp:188] Iteration 47720, loss = 1.22692
I0306 06:48:25.113852  5521 solver.cpp:203]     Train net output #0: loss = 1.22692 (* 1 = 1.22692 loss)
I0306 06:48:25.113864  5521 solver.cpp:449] Iteration 47720, lr = 5e-05
I0306 06:48:37.875738  5521 solver.cpp:188] Iteration 47760, loss = 1.32841
I0306 06:48:37.875861  5521 solver.cpp:203]     Train net output #0: loss = 1.32841 (* 1 = 1.32841 loss)
I0306 06:48:37.875879  5521 solver.cpp:449] Iteration 47760, lr = 5e-05
I0306 06:48:50.653661  5521 solver.cpp:188] Iteration 47800, loss = 1.30629
I0306 06:48:50.653715  5521 solver.cpp:203]     Train net output #0: loss = 1.30629 (* 1 = 1.30629 loss)
I0306 06:48:50.653730  5521 solver.cpp:449] Iteration 47800, lr = 5e-05
I0306 06:49:03.450391  5521 solver.cpp:188] Iteration 47840, loss = 1.20957
I0306 06:49:03.450448  5521 solver.cpp:203]     Train net output #0: loss = 1.20957 (* 1 = 1.20957 loss)
I0306 06:49:03.450462  5521 solver.cpp:449] Iteration 47840, lr = 5e-05
I0306 06:49:16.256566  5521 solver.cpp:188] Iteration 47880, loss = 1.30446
I0306 06:49:16.256675  5521 solver.cpp:203]     Train net output #0: loss = 1.30446 (* 1 = 1.30446 loss)
I0306 06:49:16.256690  5521 solver.cpp:449] Iteration 47880, lr = 5e-05
I0306 06:49:29.045442  5521 solver.cpp:188] Iteration 47920, loss = 1.22458
I0306 06:49:29.045496  5521 solver.cpp:203]     Train net output #0: loss = 1.22458 (* 1 = 1.22458 loss)
I0306 06:49:29.045511  5521 solver.cpp:449] Iteration 47920, lr = 5e-05
I0306 06:49:41.846741  5521 solver.cpp:188] Iteration 47960, loss = 1.29685
I0306 06:49:41.846801  5521 solver.cpp:203]     Train net output #0: loss = 1.29685 (* 1 = 1.29685 loss)
I0306 06:49:41.846817  5521 solver.cpp:449] Iteration 47960, lr = 5e-05
I0306 06:49:54.639442  5521 solver.cpp:188] Iteration 48000, loss = 1.31329
I0306 06:49:54.639565  5521 solver.cpp:203]     Train net output #0: loss = 1.31329 (* 1 = 1.31329 loss)
I0306 06:49:54.639583  5521 solver.cpp:449] Iteration 48000, lr = 5e-05
I0306 06:50:07.434942  5521 solver.cpp:188] Iteration 48040, loss = 1.21846
I0306 06:50:07.434998  5521 solver.cpp:203]     Train net output #0: loss = 1.21846 (* 1 = 1.21846 loss)
I0306 06:50:07.435014  5521 solver.cpp:449] Iteration 48040, lr = 5e-05
I0306 06:50:20.230595  5521 solver.cpp:188] Iteration 48080, loss = 1.23043
I0306 06:50:20.230660  5521 solver.cpp:203]     Train net output #0: loss = 1.23043 (* 1 = 1.23043 loss)
I0306 06:50:20.230684  5521 solver.cpp:449] Iteration 48080, lr = 5e-05
I0306 06:50:33.031360  5521 solver.cpp:188] Iteration 48120, loss = 1.2469
I0306 06:50:33.031502  5521 solver.cpp:203]     Train net output #0: loss = 1.2469 (* 1 = 1.2469 loss)
I0306 06:50:33.031523  5521 solver.cpp:449] Iteration 48120, lr = 5e-05
I0306 06:50:45.844236  5521 solver.cpp:188] Iteration 48160, loss = 1.18342
I0306 06:50:45.844295  5521 solver.cpp:203]     Train net output #0: loss = 1.18342 (* 1 = 1.18342 loss)
I0306 06:50:45.844310  5521 solver.cpp:449] Iteration 48160, lr = 5e-05
I0306 06:50:58.633659  5521 solver.cpp:188] Iteration 48200, loss = 1.24299
I0306 06:50:58.633720  5521 solver.cpp:203]     Train net output #0: loss = 1.24299 (* 1 = 1.24299 loss)
I0306 06:50:58.633736  5521 solver.cpp:449] Iteration 48200, lr = 5e-05
I0306 06:51:11.427489  5521 solver.cpp:188] Iteration 48240, loss = 1.33129
I0306 06:51:11.427644  5521 solver.cpp:203]     Train net output #0: loss = 1.33129 (* 1 = 1.33129 loss)
I0306 06:51:11.427664  5521 solver.cpp:449] Iteration 48240, lr = 5e-05
I0306 06:51:24.223147  5521 solver.cpp:188] Iteration 48280, loss = 1.16631
I0306 06:51:24.223206  5521 solver.cpp:203]     Train net output #0: loss = 1.16631 (* 1 = 1.16631 loss)
I0306 06:51:24.223222  5521 solver.cpp:449] Iteration 48280, lr = 5e-05
I0306 06:51:37.023951  5521 solver.cpp:188] Iteration 48320, loss = 1.20126
I0306 06:51:37.024008  5521 solver.cpp:203]     Train net output #0: loss = 1.20126 (* 1 = 1.20126 loss)
I0306 06:51:37.024024  5521 solver.cpp:449] Iteration 48320, lr = 5e-05
I0306 06:51:49.818754  5521 solver.cpp:188] Iteration 48360, loss = 1.29344
I0306 06:51:49.818872  5521 solver.cpp:203]     Train net output #0: loss = 1.29344 (* 1 = 1.29344 loss)
I0306 06:51:49.818898  5521 solver.cpp:449] Iteration 48360, lr = 5e-05
I0306 06:52:02.610227  5521 solver.cpp:188] Iteration 48400, loss = 1.19682
I0306 06:52:02.610286  5521 solver.cpp:203]     Train net output #0: loss = 1.19682 (* 1 = 1.19682 loss)
I0306 06:52:02.610302  5521 solver.cpp:449] Iteration 48400, lr = 5e-05
I0306 06:52:15.408592  5521 solver.cpp:188] Iteration 48440, loss = 1.24329
I0306 06:52:15.408648  5521 solver.cpp:203]     Train net output #0: loss = 1.24329 (* 1 = 1.24329 loss)
I0306 06:52:15.408665  5521 solver.cpp:449] Iteration 48440, lr = 5e-05
I0306 06:52:28.266067  5521 solver.cpp:188] Iteration 48480, loss = 1.18009
I0306 06:52:28.266185  5521 solver.cpp:203]     Train net output #0: loss = 1.18009 (* 1 = 1.18009 loss)
I0306 06:52:28.266201  5521 solver.cpp:449] Iteration 48480, lr = 5e-05
I0306 06:52:41.076136  5521 solver.cpp:188] Iteration 48520, loss = 1.29079
I0306 06:52:41.076196  5521 solver.cpp:203]     Train net output #0: loss = 1.29079 (* 1 = 1.29079 loss)
I0306 06:52:41.076213  5521 solver.cpp:449] Iteration 48520, lr = 5e-05
I0306 06:52:53.895943  5521 solver.cpp:188] Iteration 48560, loss = 1.27779
I0306 06:52:53.896003  5521 solver.cpp:203]     Train net output #0: loss = 1.27779 (* 1 = 1.27779 loss)
I0306 06:52:53.896019  5521 solver.cpp:449] Iteration 48560, lr = 5e-05
I0306 06:53:06.677989  5521 solver.cpp:188] Iteration 48600, loss = 1.23852
I0306 06:53:06.678102  5521 solver.cpp:203]     Train net output #0: loss = 1.23852 (* 1 = 1.23852 loss)
I0306 06:53:06.678119  5521 solver.cpp:449] Iteration 48600, lr = 5e-05
I0306 06:53:19.444952  5521 solver.cpp:188] Iteration 48640, loss = 1.28301
I0306 06:53:19.445008  5521 solver.cpp:203]     Train net output #0: loss = 1.28301 (* 1 = 1.28301 loss)
I0306 06:53:19.445022  5521 solver.cpp:449] Iteration 48640, lr = 5e-05
I0306 06:53:32.207466  5521 solver.cpp:188] Iteration 48680, loss = 1.30217
I0306 06:53:32.207527  5521 solver.cpp:203]     Train net output #0: loss = 1.30217 (* 1 = 1.30217 loss)
I0306 06:53:32.207545  5521 solver.cpp:449] Iteration 48680, lr = 5e-05
I0306 06:53:44.979048  5521 solver.cpp:188] Iteration 48720, loss = 1.23325
I0306 06:53:44.979166  5521 solver.cpp:203]     Train net output #0: loss = 1.23325 (* 1 = 1.23325 loss)
I0306 06:53:44.979182  5521 solver.cpp:449] Iteration 48720, lr = 5e-05
I0306 06:53:57.768815  5521 solver.cpp:188] Iteration 48760, loss = 1.21816
I0306 06:53:57.768872  5521 solver.cpp:203]     Train net output #0: loss = 1.21816 (* 1 = 1.21816 loss)
I0306 06:53:57.768885  5521 solver.cpp:449] Iteration 48760, lr = 5e-05
I0306 06:54:10.563721  5521 solver.cpp:188] Iteration 48800, loss = 1.4002
I0306 06:54:10.563782  5521 solver.cpp:203]     Train net output #0: loss = 1.4002 (* 1 = 1.4002 loss)
I0306 06:54:10.563798  5521 solver.cpp:449] Iteration 48800, lr = 5e-05
I0306 06:54:23.364596  5521 solver.cpp:188] Iteration 48840, loss = 1.17466
I0306 06:54:23.364716  5521 solver.cpp:203]     Train net output #0: loss = 1.17466 (* 1 = 1.17466 loss)
I0306 06:54:23.364733  5521 solver.cpp:449] Iteration 48840, lr = 5e-05
I0306 06:54:36.160151  5521 solver.cpp:188] Iteration 48880, loss = 1.34376
I0306 06:54:36.160210  5521 solver.cpp:203]     Train net output #0: loss = 1.34376 (* 1 = 1.34376 loss)
I0306 06:54:36.160226  5521 solver.cpp:449] Iteration 48880, lr = 5e-05
I0306 06:54:48.944483  5521 solver.cpp:188] Iteration 48920, loss = 1.14715
I0306 06:54:48.944540  5521 solver.cpp:203]     Train net output #0: loss = 1.14715 (* 1 = 1.14715 loss)
I0306 06:54:48.944555  5521 solver.cpp:449] Iteration 48920, lr = 5e-05
I0306 06:55:01.744071  5521 solver.cpp:188] Iteration 48960, loss = 1.29036
I0306 06:55:01.744212  5521 solver.cpp:203]     Train net output #0: loss = 1.29036 (* 1 = 1.29036 loss)
I0306 06:55:01.744230  5521 solver.cpp:449] Iteration 48960, lr = 5e-05
I0306 06:55:14.535701  5521 solver.cpp:188] Iteration 49000, loss = 1.25629
I0306 06:55:14.535755  5521 solver.cpp:203]     Train net output #0: loss = 1.25629 (* 1 = 1.25629 loss)
I0306 06:55:14.535771  5521 solver.cpp:449] Iteration 49000, lr = 5e-05
I0306 06:55:27.325222  5521 solver.cpp:188] Iteration 49040, loss = 1.25009
I0306 06:55:27.325284  5521 solver.cpp:203]     Train net output #0: loss = 1.25009 (* 1 = 1.25009 loss)
I0306 06:55:27.325299  5521 solver.cpp:449] Iteration 49040, lr = 5e-05
I0306 06:55:40.109733  5521 solver.cpp:188] Iteration 49080, loss = 1.35218
I0306 06:55:40.109882  5521 solver.cpp:203]     Train net output #0: loss = 1.35218 (* 1 = 1.35218 loss)
I0306 06:55:40.109906  5521 solver.cpp:449] Iteration 49080, lr = 5e-05
I0306 06:55:52.893056  5521 solver.cpp:188] Iteration 49120, loss = 1.21256
I0306 06:55:52.893115  5521 solver.cpp:203]     Train net output #0: loss = 1.21256 (* 1 = 1.21256 loss)
I0306 06:55:52.893131  5521 solver.cpp:449] Iteration 49120, lr = 5e-05
I0306 06:56:05.676900  5521 solver.cpp:188] Iteration 49160, loss = 1.20703
I0306 06:56:05.676959  5521 solver.cpp:203]     Train net output #0: loss = 1.20703 (* 1 = 1.20703 loss)
I0306 06:56:05.676975  5521 solver.cpp:449] Iteration 49160, lr = 5e-05
I0306 06:56:18.467581  5521 solver.cpp:188] Iteration 49200, loss = 1.2961
I0306 06:56:18.467666  5521 solver.cpp:203]     Train net output #0: loss = 1.2961 (* 1 = 1.2961 loss)
I0306 06:56:18.467682  5521 solver.cpp:449] Iteration 49200, lr = 5e-05
I0306 06:56:31.256693  5521 solver.cpp:188] Iteration 49240, loss = 1.2957
I0306 06:56:31.256763  5521 solver.cpp:203]     Train net output #0: loss = 1.2957 (* 1 = 1.2957 loss)
I0306 06:56:31.256780  5521 solver.cpp:449] Iteration 49240, lr = 5e-05
I0306 06:56:44.179260  5521 solver.cpp:188] Iteration 49280, loss = 1.11642
I0306 06:56:44.179324  5521 solver.cpp:203]     Train net output #0: loss = 1.11642 (* 1 = 1.11642 loss)
I0306 06:56:44.179338  5521 solver.cpp:449] Iteration 49280, lr = 5e-05
I0306 06:56:57.373999  5521 solver.cpp:188] Iteration 49320, loss = 1.13826
I0306 06:56:57.374148  5521 solver.cpp:203]     Train net output #0: loss = 1.13826 (* 1 = 1.13826 loss)
I0306 06:56:57.374171  5521 solver.cpp:449] Iteration 49320, lr = 5e-05
I0306 06:57:10.137217  5521 solver.cpp:188] Iteration 49360, loss = 1.21469
I0306 06:57:10.137275  5521 solver.cpp:203]     Train net output #0: loss = 1.21469 (* 1 = 1.21469 loss)
I0306 06:57:10.137292  5521 solver.cpp:449] Iteration 49360, lr = 5e-05
I0306 06:57:23.074923  5521 solver.cpp:188] Iteration 49400, loss = 1.28011
I0306 06:57:23.074985  5521 solver.cpp:203]     Train net output #0: loss = 1.28011 (* 1 = 1.28011 loss)
I0306 06:57:23.075001  5521 solver.cpp:449] Iteration 49400, lr = 5e-05
I0306 06:57:36.025238  5521 solver.cpp:188] Iteration 49440, loss = 1.20572
I0306 06:57:36.025357  5521 solver.cpp:203]     Train net output #0: loss = 1.20572 (* 1 = 1.20572 loss)
I0306 06:57:36.025375  5521 solver.cpp:449] Iteration 49440, lr = 5e-05
I0306 06:57:49.030342  5521 solver.cpp:188] Iteration 49480, loss = 1.2476
I0306 06:57:49.030408  5521 solver.cpp:203]     Train net output #0: loss = 1.2476 (* 1 = 1.2476 loss)
I0306 06:57:49.030426  5521 solver.cpp:449] Iteration 49480, lr = 5e-05
I0306 06:58:01.985905  5521 solver.cpp:188] Iteration 49520, loss = 1.18395
I0306 06:58:01.985975  5521 solver.cpp:203]     Train net output #0: loss = 1.18395 (* 1 = 1.18395 loss)
I0306 06:58:01.985997  5521 solver.cpp:449] Iteration 49520, lr = 5e-05
I0306 06:58:14.933208  5521 solver.cpp:188] Iteration 49560, loss = 1.24293
I0306 06:58:14.933395  5521 solver.cpp:203]     Train net output #0: loss = 1.24293 (* 1 = 1.24293 loss)
I0306 06:58:14.933423  5521 solver.cpp:449] Iteration 49560, lr = 5e-05
I0306 06:58:27.897490  5521 solver.cpp:188] Iteration 49600, loss = 1.12092
I0306 06:58:27.897550  5521 solver.cpp:203]     Train net output #0: loss = 1.12092 (* 1 = 1.12092 loss)
I0306 06:58:27.897567  5521 solver.cpp:449] Iteration 49600, lr = 5e-05
I0306 06:58:40.876349  5521 solver.cpp:188] Iteration 49640, loss = 1.21051
I0306 06:58:40.876410  5521 solver.cpp:203]     Train net output #0: loss = 1.21051 (* 1 = 1.21051 loss)
I0306 06:58:40.876427  5521 solver.cpp:449] Iteration 49640, lr = 5e-05
I0306 06:58:53.700783  5521 solver.cpp:188] Iteration 49680, loss = 1.09726
I0306 06:58:53.700958  5521 solver.cpp:203]     Train net output #0: loss = 1.09726 (* 1 = 1.09726 loss)
I0306 06:58:53.700980  5521 solver.cpp:449] Iteration 49680, lr = 5e-05
I0306 06:59:06.505810  5521 solver.cpp:188] Iteration 49720, loss = 1.36361
I0306 06:59:06.505867  5521 solver.cpp:203]     Train net output #0: loss = 1.36361 (* 1 = 1.36361 loss)
I0306 06:59:06.505883  5521 solver.cpp:449] Iteration 49720, lr = 5e-05
I0306 06:59:19.309273  5521 solver.cpp:188] Iteration 49760, loss = 1.35778
I0306 06:59:19.309336  5521 solver.cpp:203]     Train net output #0: loss = 1.35778 (* 1 = 1.35778 loss)
I0306 06:59:19.309355  5521 solver.cpp:449] Iteration 49760, lr = 5e-05
I0306 06:59:32.120358  5521 solver.cpp:188] Iteration 49800, loss = 1.32647
I0306 06:59:32.120486  5521 solver.cpp:203]     Train net output #0: loss = 1.32647 (* 1 = 1.32647 loss)
I0306 06:59:32.120507  5521 solver.cpp:449] Iteration 49800, lr = 5e-05
I0306 06:59:44.921617  5521 solver.cpp:188] Iteration 49840, loss = 1.35612
I0306 06:59:44.921676  5521 solver.cpp:203]     Train net output #0: loss = 1.35612 (* 1 = 1.35612 loss)
I0306 06:59:44.921694  5521 solver.cpp:449] Iteration 49840, lr = 5e-05
I0306 06:59:57.708802  5521 solver.cpp:188] Iteration 49880, loss = 1.29293
I0306 06:59:57.708864  5521 solver.cpp:203]     Train net output #0: loss = 1.29293 (* 1 = 1.29293 loss)
I0306 06:59:57.708881  5521 solver.cpp:449] Iteration 49880, lr = 5e-05
I0306 07:00:10.502567  5521 solver.cpp:188] Iteration 49920, loss = 1.40304
I0306 07:00:10.502687  5521 solver.cpp:203]     Train net output #0: loss = 1.40304 (* 1 = 1.40304 loss)
I0306 07:00:10.502707  5521 solver.cpp:449] Iteration 49920, lr = 5e-05
I0306 07:00:23.296437  5521 solver.cpp:188] Iteration 49960, loss = 1.41321
I0306 07:00:23.296491  5521 solver.cpp:203]     Train net output #0: loss = 1.41321 (* 1 = 1.41321 loss)
I0306 07:00:23.296506  5521 solver.cpp:449] Iteration 49960, lr = 5e-05
I0306 07:00:36.418871  5521 solver.cpp:337] Snapshotting to cache/lsp/lsp_iter_50000.caffemodel
I0306 07:00:37.609091  5521 solver.cpp:345] Snapshotting solver state to cache/lsp/lsp_iter_50000.solverstate
I0306 07:00:38.344461  5521 solver.cpp:266] Iteration 50000, Testing net (#0)
I0306 07:00:55.222077  5521 solver.cpp:317]     Test net output #0: accuracy = 0.581211
I0306 07:00:55.222187  5521 solver.cpp:317]     Test net output #1: loss = 1.53209 (* 1 = 1.53209 loss)
I0306 07:00:55.317940  5521 solver.cpp:188] Iteration 50000, loss = 1.46603
I0306 07:00:55.318002  5521 solver.cpp:203]     Train net output #0: loss = 1.46603 (* 1 = 1.46603 loss)
I0306 07:00:55.318018  5521 solver.cpp:449] Iteration 50000, lr = 5e-05
I0306 07:01:07.822129  5521 solver.cpp:188] Iteration 50040, loss = 1.23338
I0306 07:01:07.822190  5521 solver.cpp:203]     Train net output #0: loss = 1.23338 (* 1 = 1.23338 loss)
I0306 07:01:07.822208  5521 solver.cpp:449] Iteration 50040, lr = 5e-05
I0306 07:01:20.915925  5521 solver.cpp:188] Iteration 50080, loss = 1.38371
I0306 07:01:20.915981  5521 solver.cpp:203]     Train net output #0: loss = 1.38371 (* 1 = 1.38371 loss)
I0306 07:01:20.915997  5521 solver.cpp:449] Iteration 50080, lr = 5e-05
I0306 07:01:33.960607  5521 solver.cpp:188] Iteration 50120, loss = 1.38886
I0306 07:01:33.960783  5521 solver.cpp:203]     Train net output #0: loss = 1.38886 (* 1 = 1.38886 loss)
I0306 07:01:33.960804  5521 solver.cpp:449] Iteration 50120, lr = 5e-05
I0306 07:01:46.861274  5521 solver.cpp:188] Iteration 50160, loss = 1.39272
I0306 07:01:46.861345  5521 solver.cpp:203]     Train net output #0: loss = 1.39272 (* 1 = 1.39272 loss)
I0306 07:01:46.861369  5521 solver.cpp:449] Iteration 50160, lr = 5e-05
I0306 07:01:59.650730  5521 solver.cpp:188] Iteration 50200, loss = 1.37759
I0306 07:01:59.650794  5521 solver.cpp:203]     Train net output #0: loss = 1.37759 (* 1 = 1.37759 loss)
I0306 07:01:59.650811  5521 solver.cpp:449] Iteration 50200, lr = 5e-05
I0306 07:02:12.436990  5521 solver.cpp:188] Iteration 50240, loss = 1.26907
I0306 07:02:12.437134  5521 solver.cpp:203]     Train net output #0: loss = 1.26907 (* 1 = 1.26907 loss)
I0306 07:02:12.437155  5521 solver.cpp:449] Iteration 50240, lr = 5e-05
I0306 07:02:25.470142  5521 solver.cpp:188] Iteration 50280, loss = 1.34602
I0306 07:02:25.470201  5521 solver.cpp:203]     Train net output #0: loss = 1.34602 (* 1 = 1.34602 loss)
I0306 07:02:25.470216  5521 solver.cpp:449] Iteration 50280, lr = 5e-05
I0306 07:02:38.309352  5521 solver.cpp:188] Iteration 50320, loss = 1.24099
I0306 07:02:38.309422  5521 solver.cpp:203]     Train net output #0: loss = 1.24099 (* 1 = 1.24099 loss)
I0306 07:02:38.309439  5521 solver.cpp:449] Iteration 50320, lr = 5e-05
I0306 07:02:51.093322  5521 solver.cpp:188] Iteration 50360, loss = 1.44872
I0306 07:02:51.093452  5521 solver.cpp:203]     Train net output #0: loss = 1.44872 (* 1 = 1.44872 loss)
I0306 07:02:51.093469  5521 solver.cpp:449] Iteration 50360, lr = 5e-05
I0306 07:03:03.866140  5521 solver.cpp:188] Iteration 50400, loss = 1.37504
I0306 07:03:03.866197  5521 solver.cpp:203]     Train net output #0: loss = 1.37504 (* 1 = 1.37504 loss)
I0306 07:03:03.866214  5521 solver.cpp:449] Iteration 50400, lr = 5e-05
I0306 07:03:16.665325  5521 solver.cpp:188] Iteration 50440, loss = 1.34238
I0306 07:03:16.665395  5521 solver.cpp:203]     Train net output #0: loss = 1.34238 (* 1 = 1.34238 loss)
I0306 07:03:16.665412  5521 solver.cpp:449] Iteration 50440, lr = 5e-05
I0306 07:03:29.578219  5521 solver.cpp:188] Iteration 50480, loss = 1.32219
I0306 07:03:29.578336  5521 solver.cpp:203]     Train net output #0: loss = 1.32219 (* 1 = 1.32219 loss)
I0306 07:03:29.578352  5521 solver.cpp:449] Iteration 50480, lr = 5e-05
I0306 07:03:42.508461  5521 solver.cpp:188] Iteration 50520, loss = 1.38285
I0306 07:03:42.508517  5521 solver.cpp:203]     Train net output #0: loss = 1.38285 (* 1 = 1.38285 loss)
I0306 07:03:42.508533  5521 solver.cpp:449] Iteration 50520, lr = 5e-05
I0306 07:03:55.451172  5521 solver.cpp:188] Iteration 50560, loss = 1.38375
I0306 07:03:55.451232  5521 solver.cpp:203]     Train net output #0: loss = 1.38375 (* 1 = 1.38375 loss)
I0306 07:03:55.451249  5521 solver.cpp:449] Iteration 50560, lr = 5e-05
I0306 07:04:08.393651  5521 solver.cpp:188] Iteration 50600, loss = 1.25776
I0306 07:04:08.393766  5521 solver.cpp:203]     Train net output #0: loss = 1.25776 (* 1 = 1.25776 loss)
I0306 07:04:08.393784  5521 solver.cpp:449] Iteration 50600, lr = 5e-05
I0306 07:04:21.321801  5521 solver.cpp:188] Iteration 50640, loss = 1.27844
I0306 07:04:21.321893  5521 solver.cpp:203]     Train net output #0: loss = 1.27844 (* 1 = 1.27844 loss)
I0306 07:04:21.321920  5521 solver.cpp:449] Iteration 50640, lr = 5e-05
I0306 07:04:34.321413  5521 solver.cpp:188] Iteration 50680, loss = 1.33459
I0306 07:04:34.321472  5521 solver.cpp:203]     Train net output #0: loss = 1.33459 (* 1 = 1.33459 loss)
I0306 07:04:34.321490  5521 solver.cpp:449] Iteration 50680, lr = 5e-05
I0306 07:04:47.232187  5521 solver.cpp:188] Iteration 50720, loss = 1.33106
I0306 07:04:47.232300  5521 solver.cpp:203]     Train net output #0: loss = 1.33106 (* 1 = 1.33106 loss)
I0306 07:04:47.232316  5521 solver.cpp:449] Iteration 50720, lr = 5e-05
I0306 07:05:00.167762  5521 solver.cpp:188] Iteration 50760, loss = 1.32141
I0306 07:05:00.167821  5521 solver.cpp:203]     Train net output #0: loss = 1.32141 (* 1 = 1.32141 loss)
I0306 07:05:00.167837  5521 solver.cpp:449] Iteration 50760, lr = 5e-05
I0306 07:05:13.088378  5521 solver.cpp:188] Iteration 50800, loss = 1.28578
I0306 07:05:13.088441  5521 solver.cpp:203]     Train net output #0: loss = 1.28578 (* 1 = 1.28578 loss)
I0306 07:05:13.088457  5521 solver.cpp:449] Iteration 50800, lr = 5e-05
I0306 07:05:26.007038  5521 solver.cpp:188] Iteration 50840, loss = 1.30609
I0306 07:05:26.007169  5521 solver.cpp:203]     Train net output #0: loss = 1.30609 (* 1 = 1.30609 loss)
I0306 07:05:26.007187  5521 solver.cpp:449] Iteration 50840, lr = 5e-05
I0306 07:05:38.919126  5521 solver.cpp:188] Iteration 50880, loss = 1.4017
I0306 07:05:38.919183  5521 solver.cpp:203]     Train net output #0: loss = 1.4017 (* 1 = 1.4017 loss)
I0306 07:05:38.919196  5521 solver.cpp:449] Iteration 50880, lr = 5e-05
I0306 07:05:51.835046  5521 solver.cpp:188] Iteration 50920, loss = 1.24814
I0306 07:05:51.835098  5521 solver.cpp:203]     Train net output #0: loss = 1.24814 (* 1 = 1.24814 loss)
I0306 07:05:51.835113  5521 solver.cpp:449] Iteration 50920, lr = 5e-05
I0306 07:06:04.757932  5521 solver.cpp:188] Iteration 50960, loss = 1.28264
I0306 07:06:04.758054  5521 solver.cpp:203]     Train net output #0: loss = 1.28264 (* 1 = 1.28264 loss)
I0306 07:06:04.758074  5521 solver.cpp:449] Iteration 50960, lr = 5e-05
I0306 07:06:17.673007  5521 solver.cpp:188] Iteration 51000, loss = 1.35905
I0306 07:06:17.673071  5521 solver.cpp:203]     Train net output #0: loss = 1.35905 (* 1 = 1.35905 loss)
I0306 07:06:17.673089  5521 solver.cpp:449] Iteration 51000, lr = 5e-05
I0306 07:06:30.608253  5521 solver.cpp:188] Iteration 51040, loss = 1.19637
I0306 07:06:30.608314  5521 solver.cpp:203]     Train net output #0: loss = 1.19637 (* 1 = 1.19637 loss)
I0306 07:06:30.608331  5521 solver.cpp:449] Iteration 51040, lr = 5e-05
I0306 07:06:43.517886  5521 solver.cpp:188] Iteration 51080, loss = 1.42297
I0306 07:06:43.517998  5521 solver.cpp:203]     Train net output #0: loss = 1.42297 (* 1 = 1.42297 loss)
I0306 07:06:43.518017  5521 solver.cpp:449] Iteration 51080, lr = 5e-05
I0306 07:06:56.471667  5521 solver.cpp:188] Iteration 51120, loss = 1.35021
I0306 07:06:56.471735  5521 solver.cpp:203]     Train net output #0: loss = 1.35021 (* 1 = 1.35021 loss)
I0306 07:06:56.471751  5521 solver.cpp:449] Iteration 51120, lr = 5e-05
I0306 07:07:09.389767  5521 solver.cpp:188] Iteration 51160, loss = 1.24304
I0306 07:07:09.389829  5521 solver.cpp:203]     Train net output #0: loss = 1.24304 (* 1 = 1.24304 loss)
I0306 07:07:09.389844  5521 solver.cpp:449] Iteration 51160, lr = 5e-05
I0306 07:07:22.312119  5521 solver.cpp:188] Iteration 51200, loss = 1.27253
I0306 07:07:22.312235  5521 solver.cpp:203]     Train net output #0: loss = 1.27253 (* 1 = 1.27253 loss)
I0306 07:07:22.312253  5521 solver.cpp:449] Iteration 51200, lr = 5e-05
I0306 07:07:35.237190  5521 solver.cpp:188] Iteration 51240, loss = 1.36194
I0306 07:07:35.237246  5521 solver.cpp:203]     Train net output #0: loss = 1.36194 (* 1 = 1.36194 loss)
I0306 07:07:35.237262  5521 solver.cpp:449] Iteration 51240, lr = 5e-05
I0306 07:07:48.172401  5521 solver.cpp:188] Iteration 51280, loss = 1.19592
I0306 07:07:48.172456  5521 solver.cpp:203]     Train net output #0: loss = 1.19592 (* 1 = 1.19592 loss)
I0306 07:07:48.172471  5521 solver.cpp:449] Iteration 51280, lr = 5e-05
I0306 07:08:01.112025  5521 solver.cpp:188] Iteration 51320, loss = 1.28499
I0306 07:08:01.112144  5521 solver.cpp:203]     Train net output #0: loss = 1.28499 (* 1 = 1.28499 loss)
I0306 07:08:01.112162  5521 solver.cpp:449] Iteration 51320, lr = 5e-05
I0306 07:08:14.061404  5521 solver.cpp:188] Iteration 51360, loss = 1.31612
I0306 07:08:14.061463  5521 solver.cpp:203]     Train net output #0: loss = 1.31612 (* 1 = 1.31612 loss)
I0306 07:08:14.061480  5521 solver.cpp:449] Iteration 51360, lr = 5e-05
I0306 07:08:27.156342  5521 solver.cpp:188] Iteration 51400, loss = 1.27632
I0306 07:08:27.156400  5521 solver.cpp:203]     Train net output #0: loss = 1.27632 (* 1 = 1.27632 loss)
I0306 07:08:27.156417  5521 solver.cpp:449] Iteration 51400, lr = 5e-05
I0306 07:08:40.150832  5521 solver.cpp:188] Iteration 51440, loss = 1.28083
I0306 07:08:40.150979  5521 solver.cpp:203]     Train net output #0: loss = 1.28083 (* 1 = 1.28083 loss)
I0306 07:08:40.150996  5521 solver.cpp:449] Iteration 51440, lr = 5e-05
I0306 07:08:53.092347  5521 solver.cpp:188] Iteration 51480, loss = 1.34408
I0306 07:08:53.092408  5521 solver.cpp:203]     Train net output #0: loss = 1.34408 (* 1 = 1.34408 loss)
I0306 07:08:53.092427  5521 solver.cpp:449] Iteration 51480, lr = 5e-05
I0306 07:09:06.041949  5521 solver.cpp:188] Iteration 51520, loss = 1.3776
I0306 07:09:06.042006  5521 solver.cpp:203]     Train net output #0: loss = 1.3776 (* 1 = 1.3776 loss)
I0306 07:09:06.042021  5521 solver.cpp:449] Iteration 51520, lr = 5e-05
I0306 07:09:18.988886  5521 solver.cpp:188] Iteration 51560, loss = 1.18007
I0306 07:09:18.988976  5521 solver.cpp:203]     Train net output #0: loss = 1.18007 (* 1 = 1.18007 loss)
I0306 07:09:18.988993  5521 solver.cpp:449] Iteration 51560, lr = 5e-05
I0306 07:09:31.783953  5521 solver.cpp:188] Iteration 51600, loss = 1.36383
I0306 07:09:31.784008  5521 solver.cpp:203]     Train net output #0: loss = 1.36383 (* 1 = 1.36383 loss)
I0306 07:09:31.784024  5521 solver.cpp:449] Iteration 51600, lr = 5e-05
I0306 07:09:44.580379  5521 solver.cpp:188] Iteration 51640, loss = 1.21971
I0306 07:09:44.580441  5521 solver.cpp:203]     Train net output #0: loss = 1.21971 (* 1 = 1.21971 loss)
I0306 07:09:44.580458  5521 solver.cpp:449] Iteration 51640, lr = 5e-05
I0306 07:09:57.373260  5521 solver.cpp:188] Iteration 51680, loss = 1.22836
I0306 07:09:57.373376  5521 solver.cpp:203]     Train net output #0: loss = 1.22836 (* 1 = 1.22836 loss)
I0306 07:09:57.373395  5521 solver.cpp:449] Iteration 51680, lr = 5e-05
I0306 07:10:10.166482  5521 solver.cpp:188] Iteration 51720, loss = 1.22672
I0306 07:10:10.166543  5521 solver.cpp:203]     Train net output #0: loss = 1.22672 (* 1 = 1.22672 loss)
I0306 07:10:10.166559  5521 solver.cpp:449] Iteration 51720, lr = 5e-05
I0306 07:10:22.965644  5521 solver.cpp:188] Iteration 51760, loss = 1.2682
I0306 07:10:22.965720  5521 solver.cpp:203]     Train net output #0: loss = 1.2682 (* 1 = 1.2682 loss)
I0306 07:10:22.965739  5521 solver.cpp:449] Iteration 51760, lr = 5e-05
I0306 07:10:35.779176  5521 solver.cpp:188] Iteration 51800, loss = 1.34456
I0306 07:10:35.779263  5521 solver.cpp:203]     Train net output #0: loss = 1.34456 (* 1 = 1.34456 loss)
I0306 07:10:35.779278  5521 solver.cpp:449] Iteration 51800, lr = 5e-05
I0306 07:10:48.586283  5521 solver.cpp:188] Iteration 51840, loss = 1.48987
I0306 07:10:48.586343  5521 solver.cpp:203]     Train net output #0: loss = 1.48987 (* 1 = 1.48987 loss)
I0306 07:10:48.586359  5521 solver.cpp:449] Iteration 51840, lr = 5e-05
I0306 07:11:01.392488  5521 solver.cpp:188] Iteration 51880, loss = 1.1077
I0306 07:11:01.392546  5521 solver.cpp:203]     Train net output #0: loss = 1.1077 (* 1 = 1.1077 loss)
I0306 07:11:01.392561  5521 solver.cpp:449] Iteration 51880, lr = 5e-05
I0306 07:11:14.274233  5521 solver.cpp:188] Iteration 51920, loss = 1.29293
I0306 07:11:14.274349  5521 solver.cpp:203]     Train net output #0: loss = 1.29293 (* 1 = 1.29293 loss)
I0306 07:11:14.274368  5521 solver.cpp:449] Iteration 51920, lr = 5e-05
I0306 07:11:27.277683  5521 solver.cpp:188] Iteration 51960, loss = 1.44209
I0306 07:11:27.277750  5521 solver.cpp:203]     Train net output #0: loss = 1.44209 (* 1 = 1.44209 loss)
I0306 07:11:27.277765  5521 solver.cpp:449] Iteration 51960, lr = 5e-05
I0306 07:11:40.204506  5521 solver.cpp:188] Iteration 52000, loss = 1.22493
I0306 07:11:40.204567  5521 solver.cpp:203]     Train net output #0: loss = 1.22493 (* 1 = 1.22493 loss)
I0306 07:11:40.204584  5521 solver.cpp:449] Iteration 52000, lr = 5e-05
I0306 07:11:53.133204  5521 solver.cpp:188] Iteration 52040, loss = 1.15562
I0306 07:11:53.133358  5521 solver.cpp:203]     Train net output #0: loss = 1.15562 (* 1 = 1.15562 loss)
I0306 07:11:53.133378  5521 solver.cpp:449] Iteration 52040, lr = 5e-05
I0306 07:12:06.051120  5521 solver.cpp:188] Iteration 52080, loss = 1.22703
I0306 07:12:06.051174  5521 solver.cpp:203]     Train net output #0: loss = 1.22703 (* 1 = 1.22703 loss)
I0306 07:12:06.051190  5521 solver.cpp:449] Iteration 52080, lr = 5e-05
I0306 07:12:18.971022  5521 solver.cpp:188] Iteration 52120, loss = 1.14175
I0306 07:12:18.971082  5521 solver.cpp:203]     Train net output #0: loss = 1.14175 (* 1 = 1.14175 loss)
I0306 07:12:18.971099  5521 solver.cpp:449] Iteration 52120, lr = 5e-05
I0306 07:12:32.012950  5521 solver.cpp:188] Iteration 52160, loss = 1.23848
I0306 07:12:32.013082  5521 solver.cpp:203]     Train net output #0: loss = 1.23848 (* 1 = 1.23848 loss)
I0306 07:12:32.013098  5521 solver.cpp:449] Iteration 52160, lr = 5e-05
I0306 07:12:44.945634  5521 solver.cpp:188] Iteration 52200, loss = 1.21371
I0306 07:12:44.945698  5521 solver.cpp:203]     Train net output #0: loss = 1.21371 (* 1 = 1.21371 loss)
I0306 07:12:44.945716  5521 solver.cpp:449] Iteration 52200, lr = 5e-05
I0306 07:12:57.855434  5521 solver.cpp:188] Iteration 52240, loss = 1.41174
I0306 07:12:57.855489  5521 solver.cpp:203]     Train net output #0: loss = 1.41174 (* 1 = 1.41174 loss)
I0306 07:12:57.855505  5521 solver.cpp:449] Iteration 52240, lr = 5e-05
I0306 07:13:10.776134  5521 solver.cpp:188] Iteration 52280, loss = 1.2243
I0306 07:13:10.776265  5521 solver.cpp:203]     Train net output #0: loss = 1.2243 (* 1 = 1.2243 loss)
I0306 07:13:10.776284  5521 solver.cpp:449] Iteration 52280, lr = 5e-05
I0306 07:13:23.691526  5521 solver.cpp:188] Iteration 52320, loss = 1.20877
I0306 07:13:23.691584  5521 solver.cpp:203]     Train net output #0: loss = 1.20877 (* 1 = 1.20877 loss)
I0306 07:13:23.691601  5521 solver.cpp:449] Iteration 52320, lr = 5e-05
I0306 07:13:36.591717  5521 solver.cpp:188] Iteration 52360, loss = 1.33497
I0306 07:13:36.591774  5521 solver.cpp:203]     Train net output #0: loss = 1.33497 (* 1 = 1.33497 loss)
I0306 07:13:36.591790  5521 solver.cpp:449] Iteration 52360, lr = 5e-05
I0306 07:13:49.496567  5521 solver.cpp:188] Iteration 52400, loss = 1.21812
I0306 07:13:49.496687  5521 solver.cpp:203]     Train net output #0: loss = 1.21812 (* 1 = 1.21812 loss)
I0306 07:13:49.496706  5521 solver.cpp:449] Iteration 52400, lr = 5e-05
I0306 07:14:02.442790  5521 solver.cpp:188] Iteration 52440, loss = 1.27088
I0306 07:14:02.442843  5521 solver.cpp:203]     Train net output #0: loss = 1.27088 (* 1 = 1.27088 loss)
I0306 07:14:02.442858  5521 solver.cpp:449] Iteration 52440, lr = 5e-05
I0306 07:14:15.390199  5521 solver.cpp:188] Iteration 52480, loss = 1.40441
I0306 07:14:15.390256  5521 solver.cpp:203]     Train net output #0: loss = 1.40441 (* 1 = 1.40441 loss)
I0306 07:14:15.390271  5521 solver.cpp:449] Iteration 52480, lr = 5e-05
I0306 07:14:28.324882  5521 solver.cpp:188] Iteration 52520, loss = 1.26138
I0306 07:14:28.324998  5521 solver.cpp:203]     Train net output #0: loss = 1.26138 (* 1 = 1.26138 loss)
I0306 07:14:28.325016  5521 solver.cpp:449] Iteration 52520, lr = 5e-05
I0306 07:14:41.264232  5521 solver.cpp:188] Iteration 52560, loss = 1.11341
I0306 07:14:41.264287  5521 solver.cpp:203]     Train net output #0: loss = 1.11341 (* 1 = 1.11341 loss)
I0306 07:14:41.264302  5521 solver.cpp:449] Iteration 52560, lr = 5e-05
I0306 07:14:54.200544  5521 solver.cpp:188] Iteration 52600, loss = 1.17597
I0306 07:14:54.200600  5521 solver.cpp:203]     Train net output #0: loss = 1.17597 (* 1 = 1.17597 loss)
I0306 07:14:54.200616  5521 solver.cpp:449] Iteration 52600, lr = 5e-05
I0306 07:15:07.147260  5521 solver.cpp:188] Iteration 52640, loss = 1.19981
I0306 07:15:07.147378  5521 solver.cpp:203]     Train net output #0: loss = 1.19981 (* 1 = 1.19981 loss)
I0306 07:15:07.147395  5521 solver.cpp:449] Iteration 52640, lr = 5e-05
I0306 07:15:20.094008  5521 solver.cpp:188] Iteration 52680, loss = 1.24742
I0306 07:15:20.094069  5521 solver.cpp:203]     Train net output #0: loss = 1.24742 (* 1 = 1.24742 loss)
I0306 07:15:20.094084  5521 solver.cpp:449] Iteration 52680, lr = 5e-05
I0306 07:15:33.032531  5521 solver.cpp:188] Iteration 52720, loss = 1.2476
I0306 07:15:33.032589  5521 solver.cpp:203]     Train net output #0: loss = 1.2476 (* 1 = 1.2476 loss)
I0306 07:15:33.032605  5521 solver.cpp:449] Iteration 52720, lr = 5e-05
I0306 07:15:45.966893  5521 solver.cpp:188] Iteration 52760, loss = 1.21092
I0306 07:15:45.967038  5521 solver.cpp:203]     Train net output #0: loss = 1.21092 (* 1 = 1.21092 loss)
I0306 07:15:45.967056  5521 solver.cpp:449] Iteration 52760, lr = 5e-05
I0306 07:15:58.915364  5521 solver.cpp:188] Iteration 52800, loss = 1.31824
I0306 07:15:58.915423  5521 solver.cpp:203]     Train net output #0: loss = 1.31824 (* 1 = 1.31824 loss)
I0306 07:15:58.915438  5521 solver.cpp:449] Iteration 52800, lr = 5e-05
I0306 07:16:11.850983  5521 solver.cpp:188] Iteration 52840, loss = 1.24181
I0306 07:16:11.851038  5521 solver.cpp:203]     Train net output #0: loss = 1.24181 (* 1 = 1.24181 loss)
I0306 07:16:11.851052  5521 solver.cpp:449] Iteration 52840, lr = 5e-05
I0306 07:16:24.783862  5521 solver.cpp:188] Iteration 52880, loss = 1.22958
I0306 07:16:24.783987  5521 solver.cpp:203]     Train net output #0: loss = 1.22958 (* 1 = 1.22958 loss)
I0306 07:16:24.784003  5521 solver.cpp:449] Iteration 52880, lr = 5e-05
I0306 07:16:37.707252  5521 solver.cpp:188] Iteration 52920, loss = 1.11233
I0306 07:16:37.707310  5521 solver.cpp:203]     Train net output #0: loss = 1.11233 (* 1 = 1.11233 loss)
I0306 07:16:37.707327  5521 solver.cpp:449] Iteration 52920, lr = 5e-05
I0306 07:16:50.648069  5521 solver.cpp:188] Iteration 52960, loss = 1.26473
I0306 07:16:50.648123  5521 solver.cpp:203]     Train net output #0: loss = 1.26473 (* 1 = 1.26473 loss)
I0306 07:16:50.648138  5521 solver.cpp:449] Iteration 52960, lr = 5e-05
I0306 07:17:03.601601  5521 solver.cpp:188] Iteration 53000, loss = 1.29259
I0306 07:17:03.601734  5521 solver.cpp:203]     Train net output #0: loss = 1.29259 (* 1 = 1.29259 loss)
I0306 07:17:03.601753  5521 solver.cpp:449] Iteration 53000, lr = 5e-05
I0306 07:17:16.548254  5521 solver.cpp:188] Iteration 53040, loss = 1.33289
I0306 07:17:16.548318  5521 solver.cpp:203]     Train net output #0: loss = 1.33289 (* 1 = 1.33289 loss)
I0306 07:17:16.548336  5521 solver.cpp:449] Iteration 53040, lr = 5e-05
I0306 07:17:29.470121  5521 solver.cpp:188] Iteration 53080, loss = 1.25369
I0306 07:17:29.470188  5521 solver.cpp:203]     Train net output #0: loss = 1.25369 (* 1 = 1.25369 loss)
I0306 07:17:29.470203  5521 solver.cpp:449] Iteration 53080, lr = 5e-05
I0306 07:17:42.387627  5521 solver.cpp:188] Iteration 53120, loss = 1.29733
I0306 07:17:42.387734  5521 solver.cpp:203]     Train net output #0: loss = 1.29733 (* 1 = 1.29733 loss)
I0306 07:17:42.387750  5521 solver.cpp:449] Iteration 53120, lr = 5e-05
I0306 07:17:55.298403  5521 solver.cpp:188] Iteration 53160, loss = 1.20798
I0306 07:17:55.298468  5521 solver.cpp:203]     Train net output #0: loss = 1.20798 (* 1 = 1.20798 loss)
I0306 07:17:55.298485  5521 solver.cpp:449] Iteration 53160, lr = 5e-05
I0306 07:18:08.221273  5521 solver.cpp:188] Iteration 53200, loss = 1.16122
I0306 07:18:08.221331  5521 solver.cpp:203]     Train net output #0: loss = 1.16122 (* 1 = 1.16122 loss)
I0306 07:18:08.221355  5521 solver.cpp:449] Iteration 53200, lr = 5e-05
I0306 07:18:21.149919  5521 solver.cpp:188] Iteration 53240, loss = 1.23093
I0306 07:18:21.150034  5521 solver.cpp:203]     Train net output #0: loss = 1.23093 (* 1 = 1.23093 loss)
I0306 07:18:21.150053  5521 solver.cpp:449] Iteration 53240, lr = 5e-05
I0306 07:18:34.091500  5521 solver.cpp:188] Iteration 53280, loss = 1.27915
I0306 07:18:34.091572  5521 solver.cpp:203]     Train net output #0: loss = 1.27915 (* 1 = 1.27915 loss)
I0306 07:18:34.091591  5521 solver.cpp:449] Iteration 53280, lr = 5e-05
I0306 07:18:47.040134  5521 solver.cpp:188] Iteration 53320, loss = 1.30547
I0306 07:18:47.040194  5521 solver.cpp:203]     Train net output #0: loss = 1.30547 (* 1 = 1.30547 loss)
I0306 07:18:47.040211  5521 solver.cpp:449] Iteration 53320, lr = 5e-05
I0306 07:18:59.978210  5521 solver.cpp:188] Iteration 53360, loss = 1.33337
I0306 07:18:59.978344  5521 solver.cpp:203]     Train net output #0: loss = 1.33337 (* 1 = 1.33337 loss)
I0306 07:18:59.978361  5521 solver.cpp:449] Iteration 53360, lr = 5e-05
I0306 07:19:12.913040  5521 solver.cpp:188] Iteration 53400, loss = 1.23134
I0306 07:19:12.913097  5521 solver.cpp:203]     Train net output #0: loss = 1.23134 (* 1 = 1.23134 loss)
I0306 07:19:12.913112  5521 solver.cpp:449] Iteration 53400, lr = 5e-05
I0306 07:19:25.837872  5521 solver.cpp:188] Iteration 53440, loss = 1.20451
I0306 07:19:25.837929  5521 solver.cpp:203]     Train net output #0: loss = 1.20451 (* 1 = 1.20451 loss)
I0306 07:19:25.837944  5521 solver.cpp:449] Iteration 53440, lr = 5e-05
I0306 07:19:38.772917  5521 solver.cpp:188] Iteration 53480, loss = 1.23449
I0306 07:19:38.773052  5521 solver.cpp:203]     Train net output #0: loss = 1.23449 (* 1 = 1.23449 loss)
I0306 07:19:38.773072  5521 solver.cpp:449] Iteration 53480, lr = 5e-05
I0306 07:19:51.722132  5521 solver.cpp:188] Iteration 53520, loss = 1.16791
I0306 07:19:51.722190  5521 solver.cpp:203]     Train net output #0: loss = 1.16791 (* 1 = 1.16791 loss)
I0306 07:19:51.722206  5521 solver.cpp:449] Iteration 53520, lr = 5e-05
I0306 07:20:04.661531  5521 solver.cpp:188] Iteration 53560, loss = 1.22577
I0306 07:20:04.661597  5521 solver.cpp:203]     Train net output #0: loss = 1.22577 (* 1 = 1.22577 loss)
I0306 07:20:04.661612  5521 solver.cpp:449] Iteration 53560, lr = 5e-05
I0306 07:20:17.587865  5521 solver.cpp:188] Iteration 53600, loss = 1.13371
I0306 07:20:17.587990  5521 solver.cpp:203]     Train net output #0: loss = 1.13371 (* 1 = 1.13371 loss)
I0306 07:20:17.588011  5521 solver.cpp:449] Iteration 53600, lr = 5e-05
I0306 07:20:30.524533  5521 solver.cpp:188] Iteration 53640, loss = 1.23685
I0306 07:20:30.524590  5521 solver.cpp:203]     Train net output #0: loss = 1.23685 (* 1 = 1.23685 loss)
I0306 07:20:30.524608  5521 solver.cpp:449] Iteration 53640, lr = 5e-05
I0306 07:20:43.412855  5521 solver.cpp:188] Iteration 53680, loss = 1.21901
I0306 07:20:43.412910  5521 solver.cpp:203]     Train net output #0: loss = 1.21901 (* 1 = 1.21901 loss)
I0306 07:20:43.412926  5521 solver.cpp:449] Iteration 53680, lr = 5e-05
I0306 07:20:56.317280  5521 solver.cpp:188] Iteration 53720, loss = 1.21285
I0306 07:20:56.317401  5521 solver.cpp:203]     Train net output #0: loss = 1.21285 (* 1 = 1.21285 loss)
I0306 07:20:56.317420  5521 solver.cpp:449] Iteration 53720, lr = 5e-05
I0306 07:21:09.226014  5521 solver.cpp:188] Iteration 53760, loss = 1.11991
I0306 07:21:09.226074  5521 solver.cpp:203]     Train net output #0: loss = 1.11991 (* 1 = 1.11991 loss)
I0306 07:21:09.226091  5521 solver.cpp:449] Iteration 53760, lr = 5e-05
I0306 07:21:22.106366  5521 solver.cpp:188] Iteration 53800, loss = 1.3118
I0306 07:21:22.106431  5521 solver.cpp:203]     Train net output #0: loss = 1.3118 (* 1 = 1.3118 loss)
I0306 07:21:22.106447  5521 solver.cpp:449] Iteration 53800, lr = 5e-05
I0306 07:21:34.889570  5521 solver.cpp:188] Iteration 53840, loss = 1.25495
I0306 07:21:34.889703  5521 solver.cpp:203]     Train net output #0: loss = 1.25495 (* 1 = 1.25495 loss)
I0306 07:21:34.889722  5521 solver.cpp:449] Iteration 53840, lr = 5e-05
I0306 07:21:47.682947  5521 solver.cpp:188] Iteration 53880, loss = 1.19832
I0306 07:21:47.683007  5521 solver.cpp:203]     Train net output #0: loss = 1.19832 (* 1 = 1.19832 loss)
I0306 07:21:47.683022  5521 solver.cpp:449] Iteration 53880, lr = 5e-05
I0306 07:22:00.485930  5521 solver.cpp:188] Iteration 53920, loss = 1.20019
I0306 07:22:00.485991  5521 solver.cpp:203]     Train net output #0: loss = 1.20019 (* 1 = 1.20019 loss)
I0306 07:22:00.486006  5521 solver.cpp:449] Iteration 53920, lr = 5e-05
I0306 07:22:13.273586  5521 solver.cpp:188] Iteration 53960, loss = 1.5014
I0306 07:22:13.273718  5521 solver.cpp:203]     Train net output #0: loss = 1.5014 (* 1 = 1.5014 loss)
I0306 07:22:13.273736  5521 solver.cpp:449] Iteration 53960, lr = 5e-05
I0306 07:22:26.066676  5521 solver.cpp:188] Iteration 54000, loss = 1.45566
I0306 07:22:26.066750  5521 solver.cpp:203]     Train net output #0: loss = 1.45566 (* 1 = 1.45566 loss)
I0306 07:22:26.066764  5521 solver.cpp:449] Iteration 54000, lr = 5e-05
I0306 07:22:38.919162  5521 solver.cpp:188] Iteration 54040, loss = 1.39553
I0306 07:22:38.919221  5521 solver.cpp:203]     Train net output #0: loss = 1.39553 (* 1 = 1.39553 loss)
I0306 07:22:38.919237  5521 solver.cpp:449] Iteration 54040, lr = 5e-05
I0306 07:22:51.691723  5521 solver.cpp:188] Iteration 54080, loss = 1.38897
I0306 07:22:51.691870  5521 solver.cpp:203]     Train net output #0: loss = 1.38897 (* 1 = 1.38897 loss)
I0306 07:22:51.691890  5521 solver.cpp:449] Iteration 54080, lr = 5e-05
I0306 07:23:04.466502  5521 solver.cpp:188] Iteration 54120, loss = 1.3201
I0306 07:23:04.466557  5521 solver.cpp:203]     Train net output #0: loss = 1.3201 (* 1 = 1.3201 loss)
I0306 07:23:04.466572  5521 solver.cpp:449] Iteration 54120, lr = 5e-05
I0306 07:23:17.383496  5521 solver.cpp:188] Iteration 54160, loss = 1.24366
I0306 07:23:17.383556  5521 solver.cpp:203]     Train net output #0: loss = 1.24366 (* 1 = 1.24366 loss)
I0306 07:23:17.383572  5521 solver.cpp:449] Iteration 54160, lr = 5e-05
I0306 07:23:30.446187  5521 solver.cpp:188] Iteration 54200, loss = 1.3797
I0306 07:23:30.446307  5521 solver.cpp:203]     Train net output #0: loss = 1.3797 (* 1 = 1.3797 loss)
I0306 07:23:30.446326  5521 solver.cpp:449] Iteration 54200, lr = 5e-05
I0306 07:23:43.299329  5521 solver.cpp:188] Iteration 54240, loss = 1.35574
I0306 07:23:43.299382  5521 solver.cpp:203]     Train net output #0: loss = 1.35574 (* 1 = 1.35574 loss)
I0306 07:23:43.299397  5521 solver.cpp:449] Iteration 54240, lr = 5e-05
I0306 07:23:56.060482  5521 solver.cpp:188] Iteration 54280, loss = 1.34329
I0306 07:23:56.060536  5521 solver.cpp:203]     Train net output #0: loss = 1.34329 (* 1 = 1.34329 loss)
I0306 07:23:56.060551  5521 solver.cpp:449] Iteration 54280, lr = 5e-05
I0306 07:24:08.820897  5521 solver.cpp:188] Iteration 54320, loss = 1.39612
I0306 07:24:08.821002  5521 solver.cpp:203]     Train net output #0: loss = 1.39612 (* 1 = 1.39612 loss)
I0306 07:24:08.821017  5521 solver.cpp:449] Iteration 54320, lr = 5e-05
I0306 07:24:21.591897  5521 solver.cpp:188] Iteration 54360, loss = 1.35016
I0306 07:24:21.591956  5521 solver.cpp:203]     Train net output #0: loss = 1.35016 (* 1 = 1.35016 loss)
I0306 07:24:21.591974  5521 solver.cpp:449] Iteration 54360, lr = 5e-05
I0306 07:24:34.380400  5521 solver.cpp:188] Iteration 54400, loss = 1.20935
I0306 07:24:34.380460  5521 solver.cpp:203]     Train net output #0: loss = 1.20935 (* 1 = 1.20935 loss)
I0306 07:24:34.380475  5521 solver.cpp:449] Iteration 54400, lr = 5e-05
I0306 07:24:47.165046  5521 solver.cpp:188] Iteration 54440, loss = 1.28947
I0306 07:24:47.165134  5521 solver.cpp:203]     Train net output #0: loss = 1.28947 (* 1 = 1.28947 loss)
I0306 07:24:47.165151  5521 solver.cpp:449] Iteration 54440, lr = 5e-05
I0306 07:24:59.960607  5521 solver.cpp:188] Iteration 54480, loss = 1.32826
I0306 07:24:59.960660  5521 solver.cpp:203]     Train net output #0: loss = 1.32826 (* 1 = 1.32826 loss)
I0306 07:24:59.960675  5521 solver.cpp:449] Iteration 54480, lr = 5e-05
I0306 07:25:12.746167  5521 solver.cpp:188] Iteration 54520, loss = 1.37075
I0306 07:25:12.746225  5521 solver.cpp:203]     Train net output #0: loss = 1.37075 (* 1 = 1.37075 loss)
I0306 07:25:12.746243  5521 solver.cpp:449] Iteration 54520, lr = 5e-05
I0306 07:25:25.658260  5521 solver.cpp:188] Iteration 54560, loss = 1.24358
I0306 07:25:25.658344  5521 solver.cpp:203]     Train net output #0: loss = 1.24358 (* 1 = 1.24358 loss)
I0306 07:25:25.658360  5521 solver.cpp:449] Iteration 54560, lr = 5e-05
I0306 07:25:38.579730  5521 solver.cpp:188] Iteration 54600, loss = 1.32613
I0306 07:25:38.579790  5521 solver.cpp:203]     Train net output #0: loss = 1.32613 (* 1 = 1.32613 loss)
I0306 07:25:38.579807  5521 solver.cpp:449] Iteration 54600, lr = 5e-05
I0306 07:25:51.516445  5521 solver.cpp:188] Iteration 54640, loss = 1.34878
I0306 07:25:51.516510  5521 solver.cpp:203]     Train net output #0: loss = 1.34878 (* 1 = 1.34878 loss)
I0306 07:25:51.516525  5521 solver.cpp:449] Iteration 54640, lr = 5e-05
I0306 07:26:04.449358  5521 solver.cpp:188] Iteration 54680, loss = 1.286
I0306 07:26:04.449511  5521 solver.cpp:203]     Train net output #0: loss = 1.286 (* 1 = 1.286 loss)
I0306 07:26:04.449528  5521 solver.cpp:449] Iteration 54680, lr = 5e-05
I0306 07:26:17.345475  5521 solver.cpp:188] Iteration 54720, loss = 1.46391
I0306 07:26:17.345533  5521 solver.cpp:203]     Train net output #0: loss = 1.46391 (* 1 = 1.46391 loss)
I0306 07:26:17.345551  5521 solver.cpp:449] Iteration 54720, lr = 5e-05
I0306 07:26:30.254676  5521 solver.cpp:188] Iteration 54760, loss = 1.31416
I0306 07:26:30.254735  5521 solver.cpp:203]     Train net output #0: loss = 1.31416 (* 1 = 1.31416 loss)
I0306 07:26:30.254751  5521 solver.cpp:449] Iteration 54760, lr = 5e-05
I0306 07:26:43.172448  5521 solver.cpp:188] Iteration 54800, loss = 1.4167
I0306 07:26:43.172576  5521 solver.cpp:203]     Train net output #0: loss = 1.4167 (* 1 = 1.4167 loss)
I0306 07:26:43.172595  5521 solver.cpp:449] Iteration 54800, lr = 5e-05
I0306 07:26:56.322042  5521 solver.cpp:188] Iteration 54840, loss = 1.27803
I0306 07:26:56.322103  5521 solver.cpp:203]     Train net output #0: loss = 1.27803 (* 1 = 1.27803 loss)
I0306 07:26:56.322119  5521 solver.cpp:449] Iteration 54840, lr = 5e-05
I0306 07:27:09.222491  5521 solver.cpp:188] Iteration 54880, loss = 1.43034
I0306 07:27:09.222550  5521 solver.cpp:203]     Train net output #0: loss = 1.43034 (* 1 = 1.43034 loss)
I0306 07:27:09.222568  5521 solver.cpp:449] Iteration 54880, lr = 5e-05
I0306 07:27:21.990963  5521 solver.cpp:188] Iteration 54920, loss = 1.29437
I0306 07:27:21.991091  5521 solver.cpp:203]     Train net output #0: loss = 1.29437 (* 1 = 1.29437 loss)
I0306 07:27:21.991108  5521 solver.cpp:449] Iteration 54920, lr = 5e-05
I0306 07:27:34.754921  5521 solver.cpp:188] Iteration 54960, loss = 1.44902
I0306 07:27:34.754982  5521 solver.cpp:203]     Train net output #0: loss = 1.44902 (* 1 = 1.44902 loss)
I0306 07:27:34.755002  5521 solver.cpp:449] Iteration 54960, lr = 5e-05
I0306 07:27:47.827611  5521 solver.cpp:337] Snapshotting to cache/lsp/lsp_iter_55000.caffemodel
I0306 07:27:48.942910  5521 solver.cpp:345] Snapshotting solver state to cache/lsp/lsp_iter_55000.solverstate
I0306 07:27:49.648541  5521 solver.cpp:266] Iteration 55000, Testing net (#0)
I0306 07:28:06.166311  5521 solver.cpp:317]     Test net output #0: accuracy = 0.582404
I0306 07:28:06.166415  5521 solver.cpp:317]     Test net output #1: loss = 1.52525 (* 1 = 1.52525 loss)
I0306 07:28:06.262492  5521 solver.cpp:188] Iteration 55000, loss = 1.30173
I0306 07:28:06.262555  5521 solver.cpp:203]     Train net output #0: loss = 1.30173 (* 1 = 1.30173 loss)
I0306 07:28:06.262572  5521 solver.cpp:449] Iteration 55000, lr = 5e-05
I0306 07:28:18.794968  5521 solver.cpp:188] Iteration 55040, loss = 1.48325
I0306 07:28:18.795032  5521 solver.cpp:203]     Train net output #0: loss = 1.48325 (* 1 = 1.48325 loss)
I0306 07:28:18.795049  5521 solver.cpp:449] Iteration 55040, lr = 5e-05
I0306 07:28:31.879398  5521 solver.cpp:188] Iteration 55080, loss = 1.41832
I0306 07:28:31.879463  5521 solver.cpp:203]     Train net output #0: loss = 1.41832 (* 1 = 1.41832 loss)
I0306 07:28:31.879482  5521 solver.cpp:449] Iteration 55080, lr = 5e-05
I0306 07:28:44.860792  5521 solver.cpp:188] Iteration 55120, loss = 1.23599
I0306 07:28:44.860945  5521 solver.cpp:203]     Train net output #0: loss = 1.23599 (* 1 = 1.23599 loss)
I0306 07:28:44.860967  5521 solver.cpp:449] Iteration 55120, lr = 5e-05
I0306 07:28:57.777869  5521 solver.cpp:188] Iteration 55160, loss = 1.25275
I0306 07:28:57.777932  5521 solver.cpp:203]     Train net output #0: loss = 1.25275 (* 1 = 1.25275 loss)
I0306 07:28:57.777951  5521 solver.cpp:449] Iteration 55160, lr = 5e-05
I0306 07:29:10.722844  5521 solver.cpp:188] Iteration 55200, loss = 1.24589
I0306 07:29:10.722914  5521 solver.cpp:203]     Train net output #0: loss = 1.24589 (* 1 = 1.24589 loss)
I0306 07:29:10.722931  5521 solver.cpp:449] Iteration 55200, lr = 5e-05
I0306 07:29:23.666069  5521 solver.cpp:188] Iteration 55240, loss = 1.31315
I0306 07:29:23.666220  5521 solver.cpp:203]     Train net output #0: loss = 1.31315 (* 1 = 1.31315 loss)
I0306 07:29:23.666237  5521 solver.cpp:449] Iteration 55240, lr = 5e-05
I0306 07:29:36.606873  5521 solver.cpp:188] Iteration 55280, loss = 1.24351
I0306 07:29:36.606936  5521 solver.cpp:203]     Train net output #0: loss = 1.24351 (* 1 = 1.24351 loss)
I0306 07:29:36.606950  5521 solver.cpp:449] Iteration 55280, lr = 5e-05
I0306 07:29:49.535328  5521 solver.cpp:188] Iteration 55320, loss = 1.24325
I0306 07:29:49.535387  5521 solver.cpp:203]     Train net output #0: loss = 1.24325 (* 1 = 1.24325 loss)
I0306 07:29:49.535403  5521 solver.cpp:449] Iteration 55320, lr = 5e-05
I0306 07:30:02.473191  5521 solver.cpp:188] Iteration 55360, loss = 1.29521
I0306 07:30:02.473316  5521 solver.cpp:203]     Train net output #0: loss = 1.29521 (* 1 = 1.29521 loss)
I0306 07:30:02.473335  5521 solver.cpp:449] Iteration 55360, lr = 5e-05
I0306 07:30:15.399535  5521 solver.cpp:188] Iteration 55400, loss = 1.27118
I0306 07:30:15.399596  5521 solver.cpp:203]     Train net output #0: loss = 1.27118 (* 1 = 1.27118 loss)
I0306 07:30:15.399617  5521 solver.cpp:449] Iteration 55400, lr = 5e-05
I0306 07:30:28.327035  5521 solver.cpp:188] Iteration 55440, loss = 1.36744
I0306 07:30:28.327098  5521 solver.cpp:203]     Train net output #0: loss = 1.36744 (* 1 = 1.36744 loss)
I0306 07:30:28.327114  5521 solver.cpp:449] Iteration 55440, lr = 5e-05
I0306 07:30:41.233368  5521 solver.cpp:188] Iteration 55480, loss = 1.31731
I0306 07:30:41.233487  5521 solver.cpp:203]     Train net output #0: loss = 1.31731 (* 1 = 1.31731 loss)
I0306 07:30:41.233505  5521 solver.cpp:449] Iteration 55480, lr = 5e-05
I0306 07:30:54.152827  5521 solver.cpp:188] Iteration 55520, loss = 1.36683
I0306 07:30:54.152884  5521 solver.cpp:203]     Train net output #0: loss = 1.36683 (* 1 = 1.36683 loss)
I0306 07:30:54.152900  5521 solver.cpp:449] Iteration 55520, lr = 5e-05
I0306 07:31:07.074229  5521 solver.cpp:188] Iteration 55560, loss = 1.33225
I0306 07:31:07.074287  5521 solver.cpp:203]     Train net output #0: loss = 1.33225 (* 1 = 1.33225 loss)
I0306 07:31:07.074303  5521 solver.cpp:449] Iteration 55560, lr = 5e-05
I0306 07:31:19.995934  5521 solver.cpp:188] Iteration 55600, loss = 1.26517
I0306 07:31:19.996040  5521 solver.cpp:203]     Train net output #0: loss = 1.26517 (* 1 = 1.26517 loss)
I0306 07:31:19.996057  5521 solver.cpp:449] Iteration 55600, lr = 5e-05
I0306 07:31:32.924124  5521 solver.cpp:188] Iteration 55640, loss = 1.24496
I0306 07:31:32.924183  5521 solver.cpp:203]     Train net output #0: loss = 1.24496 (* 1 = 1.24496 loss)
I0306 07:31:32.924199  5521 solver.cpp:449] Iteration 55640, lr = 5e-05
I0306 07:31:45.860668  5521 solver.cpp:188] Iteration 55680, loss = 1.19037
I0306 07:31:45.860729  5521 solver.cpp:203]     Train net output #0: loss = 1.19037 (* 1 = 1.19037 loss)
I0306 07:31:45.860745  5521 solver.cpp:449] Iteration 55680, lr = 5e-05
I0306 07:31:58.831826  5521 solver.cpp:188] Iteration 55720, loss = 1.33608
I0306 07:31:58.831950  5521 solver.cpp:203]     Train net output #0: loss = 1.33608 (* 1 = 1.33608 loss)
I0306 07:31:58.831970  5521 solver.cpp:449] Iteration 55720, lr = 5e-05
I0306 07:32:11.734251  5521 solver.cpp:188] Iteration 55760, loss = 1.35967
I0306 07:32:11.734313  5521 solver.cpp:203]     Train net output #0: loss = 1.35967 (* 1 = 1.35967 loss)
I0306 07:32:11.734329  5521 solver.cpp:449] Iteration 55760, lr = 5e-05
I0306 07:32:24.643311  5521 solver.cpp:188] Iteration 55800, loss = 1.3019
I0306 07:32:24.643369  5521 solver.cpp:203]     Train net output #0: loss = 1.3019 (* 1 = 1.3019 loss)
I0306 07:32:24.643384  5521 solver.cpp:449] Iteration 55800, lr = 5e-05
I0306 07:32:37.636435  5521 solver.cpp:188] Iteration 55840, loss = 1.24254
I0306 07:32:37.636582  5521 solver.cpp:203]     Train net output #0: loss = 1.24254 (* 1 = 1.24254 loss)
I0306 07:32:37.636601  5521 solver.cpp:449] Iteration 55840, lr = 5e-05
I0306 07:32:50.547341  5521 solver.cpp:188] Iteration 55880, loss = 1.33402
I0306 07:32:50.547397  5521 solver.cpp:203]     Train net output #0: loss = 1.33402 (* 1 = 1.33402 loss)
I0306 07:32:50.547412  5521 solver.cpp:449] Iteration 55880, lr = 5e-05
I0306 07:33:03.463564  5521 solver.cpp:188] Iteration 55920, loss = 1.20543
I0306 07:33:03.463619  5521 solver.cpp:203]     Train net output #0: loss = 1.20543 (* 1 = 1.20543 loss)
I0306 07:33:03.463634  5521 solver.cpp:449] Iteration 55920, lr = 5e-05
I0306 07:33:16.397050  5521 solver.cpp:188] Iteration 55960, loss = 1.2419
I0306 07:33:16.397171  5521 solver.cpp:203]     Train net output #0: loss = 1.2419 (* 1 = 1.2419 loss)
I0306 07:33:16.397189  5521 solver.cpp:449] Iteration 55960, lr = 5e-05
I0306 07:33:29.325556  5521 solver.cpp:188] Iteration 56000, loss = 1.33666
I0306 07:33:29.325614  5521 solver.cpp:203]     Train net output #0: loss = 1.33666 (* 1 = 1.33666 loss)
I0306 07:33:29.325630  5521 solver.cpp:449] Iteration 56000, lr = 5e-05
I0306 07:33:42.325070  5521 solver.cpp:188] Iteration 56040, loss = 1.30634
I0306 07:33:42.325132  5521 solver.cpp:203]     Train net output #0: loss = 1.30634 (* 1 = 1.30634 loss)
I0306 07:33:42.325147  5521 solver.cpp:449] Iteration 56040, lr = 5e-05
I0306 07:33:55.469847  5521 solver.cpp:188] Iteration 56080, loss = 1.14202
I0306 07:33:55.469964  5521 solver.cpp:203]     Train net output #0: loss = 1.14202 (* 1 = 1.14202 loss)
I0306 07:33:55.469980  5521 solver.cpp:449] Iteration 56080, lr = 5e-05
I0306 07:34:08.552105  5521 solver.cpp:188] Iteration 56120, loss = 1.29594
I0306 07:34:08.552161  5521 solver.cpp:203]     Train net output #0: loss = 1.29594 (* 1 = 1.29594 loss)
I0306 07:34:08.552175  5521 solver.cpp:449] Iteration 56120, lr = 5e-05
I0306 07:34:21.684378  5521 solver.cpp:188] Iteration 56160, loss = 1.37157
I0306 07:34:21.684433  5521 solver.cpp:203]     Train net output #0: loss = 1.37157 (* 1 = 1.37157 loss)
I0306 07:34:21.684451  5521 solver.cpp:449] Iteration 56160, lr = 5e-05
I0306 07:34:34.681505  5521 solver.cpp:188] Iteration 56200, loss = 1.33997
I0306 07:34:34.681709  5521 solver.cpp:203]     Train net output #0: loss = 1.33997 (* 1 = 1.33997 loss)
I0306 07:34:34.681737  5521 solver.cpp:449] Iteration 56200, lr = 5e-05
I0306 07:34:47.575861  5521 solver.cpp:188] Iteration 56240, loss = 1.30567
I0306 07:34:47.575918  5521 solver.cpp:203]     Train net output #0: loss = 1.30567 (* 1 = 1.30567 loss)
I0306 07:34:47.575933  5521 solver.cpp:449] Iteration 56240, lr = 5e-05
I0306 07:35:00.908031  5521 solver.cpp:188] Iteration 56280, loss = 1.12394
I0306 07:35:00.908123  5521 solver.cpp:203]     Train net output #0: loss = 1.12394 (* 1 = 1.12394 loss)
I0306 07:35:00.908149  5521 solver.cpp:449] Iteration 56280, lr = 5e-05
I0306 07:35:14.139183  5521 solver.cpp:188] Iteration 56320, loss = 1.31922
I0306 07:35:14.139318  5521 solver.cpp:203]     Train net output #0: loss = 1.31922 (* 1 = 1.31922 loss)
I0306 07:35:14.139333  5521 solver.cpp:449] Iteration 56320, lr = 5e-05
I0306 07:35:26.894448  5521 solver.cpp:188] Iteration 56360, loss = 1.30114
I0306 07:35:26.894510  5521 solver.cpp:203]     Train net output #0: loss = 1.30114 (* 1 = 1.30114 loss)
I0306 07:35:26.894525  5521 solver.cpp:449] Iteration 56360, lr = 5e-05
I0306 07:35:40.087191  5521 solver.cpp:188] Iteration 56400, loss = 1.22852
I0306 07:35:40.087267  5521 solver.cpp:203]     Train net output #0: loss = 1.22852 (* 1 = 1.22852 loss)
I0306 07:35:40.087291  5521 solver.cpp:449] Iteration 56400, lr = 5e-05
I0306 07:35:53.083572  5521 solver.cpp:188] Iteration 56440, loss = 1.29126
I0306 07:35:53.083714  5521 solver.cpp:203]     Train net output #0: loss = 1.29126 (* 1 = 1.29126 loss)
I0306 07:35:53.083731  5521 solver.cpp:449] Iteration 56440, lr = 5e-05
I0306 07:36:06.029835  5521 solver.cpp:188] Iteration 56480, loss = 1.25239
I0306 07:36:06.029891  5521 solver.cpp:203]     Train net output #0: loss = 1.25239 (* 1 = 1.25239 loss)
I0306 07:36:06.029903  5521 solver.cpp:449] Iteration 56480, lr = 5e-05
I0306 07:36:19.247304  5521 solver.cpp:188] Iteration 56520, loss = 1.19805
I0306 07:36:19.247359  5521 solver.cpp:203]     Train net output #0: loss = 1.19805 (* 1 = 1.19805 loss)
I0306 07:36:19.247372  5521 solver.cpp:449] Iteration 56520, lr = 5e-05
I0306 07:36:32.437619  5521 solver.cpp:188] Iteration 56560, loss = 1.21933
I0306 07:36:32.437878  5521 solver.cpp:203]     Train net output #0: loss = 1.21933 (* 1 = 1.21933 loss)
I0306 07:36:32.437903  5521 solver.cpp:449] Iteration 56560, lr = 5e-05
I0306 07:36:45.583673  5521 solver.cpp:188] Iteration 56600, loss = 1.07357
I0306 07:36:45.583758  5521 solver.cpp:203]     Train net output #0: loss = 1.07357 (* 1 = 1.07357 loss)
I0306 07:36:45.583781  5521 solver.cpp:449] Iteration 56600, lr = 5e-05
I0306 07:36:58.655925  5521 solver.cpp:188] Iteration 56640, loss = 1.13603
I0306 07:36:58.655990  5521 solver.cpp:203]     Train net output #0: loss = 1.13603 (* 1 = 1.13603 loss)
I0306 07:36:58.656005  5521 solver.cpp:449] Iteration 56640, lr = 5e-05
I0306 07:37:11.771633  5521 solver.cpp:188] Iteration 56680, loss = 1.20745
I0306 07:37:11.771767  5521 solver.cpp:203]     Train net output #0: loss = 1.20745 (* 1 = 1.20745 loss)
I0306 07:37:11.771783  5521 solver.cpp:449] Iteration 56680, lr = 5e-05
I0306 07:37:25.017925  5521 solver.cpp:188] Iteration 56720, loss = 1.30897
I0306 07:37:25.017978  5521 solver.cpp:203]     Train net output #0: loss = 1.30897 (* 1 = 1.30897 loss)
I0306 07:37:25.017990  5521 solver.cpp:449] Iteration 56720, lr = 5e-05
I0306 07:37:38.431973  5521 solver.cpp:188] Iteration 56760, loss = 1.16224
I0306 07:37:38.432266  5521 solver.cpp:203]     Train net output #0: loss = 1.16224 (* 1 = 1.16224 loss)
I0306 07:37:38.432355  5521 solver.cpp:449] Iteration 56760, lr = 5e-05
I0306 07:37:51.592775  5521 solver.cpp:188] Iteration 56800, loss = 1.31808
I0306 07:37:51.592881  5521 solver.cpp:203]     Train net output #0: loss = 1.31808 (* 1 = 1.31808 loss)
I0306 07:37:51.592896  5521 solver.cpp:449] Iteration 56800, lr = 5e-05
I0306 07:38:04.711210  5521 solver.cpp:188] Iteration 56840, loss = 1.16692
I0306 07:38:04.711424  5521 solver.cpp:203]     Train net output #0: loss = 1.16692 (* 1 = 1.16692 loss)
I0306 07:38:04.711503  5521 solver.cpp:449] Iteration 56840, lr = 5e-05
I0306 07:38:17.624414  5521 solver.cpp:188] Iteration 56880, loss = 1.35009
I0306 07:38:17.624480  5521 solver.cpp:203]     Train net output #0: loss = 1.35009 (* 1 = 1.35009 loss)
I0306 07:38:17.624493  5521 solver.cpp:449] Iteration 56880, lr = 5e-05
I0306 07:38:30.549209  5521 solver.cpp:188] Iteration 56920, loss = 1.24773
I0306 07:38:30.549320  5521 solver.cpp:203]     Train net output #0: loss = 1.24773 (* 1 = 1.24773 loss)
I0306 07:38:30.549335  5521 solver.cpp:449] Iteration 56920, lr = 5e-05
I0306 07:38:43.755965  5521 solver.cpp:188] Iteration 56960, loss = 1.18905
I0306 07:38:43.756032  5521 solver.cpp:203]     Train net output #0: loss = 1.18905 (* 1 = 1.18905 loss)
I0306 07:38:43.756047  5521 solver.cpp:449] Iteration 56960, lr = 5e-05
I0306 07:38:56.922111  5521 solver.cpp:188] Iteration 57000, loss = 1.39473
I0306 07:38:56.922169  5521 solver.cpp:203]     Train net output #0: loss = 1.39473 (* 1 = 1.39473 loss)
I0306 07:38:56.922183  5521 solver.cpp:449] Iteration 57000, lr = 5e-05
I0306 07:39:10.049603  5521 solver.cpp:188] Iteration 57040, loss = 1.27314
I0306 07:39:10.049713  5521 solver.cpp:203]     Train net output #0: loss = 1.27314 (* 1 = 1.27314 loss)
I0306 07:39:10.049727  5521 solver.cpp:449] Iteration 57040, lr = 5e-05
I0306 07:39:23.082391  5521 solver.cpp:188] Iteration 57080, loss = 1.30353
I0306 07:39:23.082468  5521 solver.cpp:203]     Train net output #0: loss = 1.30353 (* 1 = 1.30353 loss)
I0306 07:39:23.082483  5521 solver.cpp:449] Iteration 57080, lr = 5e-05
I0306 07:39:36.200294  5521 solver.cpp:188] Iteration 57120, loss = 1.24687
I0306 07:39:36.200361  5521 solver.cpp:203]     Train net output #0: loss = 1.24687 (* 1 = 1.24687 loss)
I0306 07:39:36.200376  5521 solver.cpp:449] Iteration 57120, lr = 5e-05
I0306 07:39:49.451977  5521 solver.cpp:188] Iteration 57160, loss = 1.24574
I0306 07:39:49.452143  5521 solver.cpp:203]     Train net output #0: loss = 1.24574 (* 1 = 1.24574 loss)
I0306 07:39:49.452162  5521 solver.cpp:449] Iteration 57160, lr = 5e-05
I0306 07:40:02.635316  5521 solver.cpp:188] Iteration 57200, loss = 1.48518
I0306 07:40:02.635375  5521 solver.cpp:203]     Train net output #0: loss = 1.48518 (* 1 = 1.48518 loss)
I0306 07:40:02.635388  5521 solver.cpp:449] Iteration 57200, lr = 5e-05
I0306 07:40:15.858580  5521 solver.cpp:188] Iteration 57240, loss = 1.37848
I0306 07:40:15.858639  5521 solver.cpp:203]     Train net output #0: loss = 1.37848 (* 1 = 1.37848 loss)
I0306 07:40:15.858651  5521 solver.cpp:449] Iteration 57240, lr = 5e-05
I0306 07:40:28.979370  5521 solver.cpp:188] Iteration 57280, loss = 1.23661
I0306 07:40:28.980357  5521 solver.cpp:203]     Train net output #0: loss = 1.23661 (* 1 = 1.23661 loss)
I0306 07:40:28.980490  5521 solver.cpp:449] Iteration 57280, lr = 5e-05
I0306 07:40:41.933894  5521 solver.cpp:188] Iteration 57320, loss = 1.20647
I0306 07:40:41.933950  5521 solver.cpp:203]     Train net output #0: loss = 1.20647 (* 1 = 1.20647 loss)
I0306 07:40:41.933964  5521 solver.cpp:449] Iteration 57320, lr = 5e-05
I0306 07:40:54.976588  5521 solver.cpp:188] Iteration 57360, loss = 1.31159
I0306 07:40:54.976655  5521 solver.cpp:203]     Train net output #0: loss = 1.31159 (* 1 = 1.31159 loss)
I0306 07:40:54.976670  5521 solver.cpp:449] Iteration 57360, lr = 5e-05
I0306 07:41:08.090551  5521 solver.cpp:188] Iteration 57400, loss = 1.20449
I0306 07:41:08.090670  5521 solver.cpp:203]     Train net output #0: loss = 1.20449 (* 1 = 1.20449 loss)
I0306 07:41:08.090687  5521 solver.cpp:449] Iteration 57400, lr = 5e-05
I0306 07:41:21.194142  5521 solver.cpp:188] Iteration 57440, loss = 1.16247
I0306 07:41:21.194262  5521 solver.cpp:203]     Train net output #0: loss = 1.16247 (* 1 = 1.16247 loss)
I0306 07:41:21.194298  5521 solver.cpp:449] Iteration 57440, lr = 5e-05
I0306 07:41:34.182139  5521 solver.cpp:188] Iteration 57480, loss = 1.22291
I0306 07:41:34.182214  5521 solver.cpp:203]     Train net output #0: loss = 1.22291 (* 1 = 1.22291 loss)
I0306 07:41:34.182230  5521 solver.cpp:449] Iteration 57480, lr = 5e-05
I0306 07:41:47.193570  5521 solver.cpp:188] Iteration 57520, loss = 1.3191
I0306 07:41:47.193722  5521 solver.cpp:203]     Train net output #0: loss = 1.3191 (* 1 = 1.3191 loss)
I0306 07:41:47.193740  5521 solver.cpp:449] Iteration 57520, lr = 5e-05
I0306 07:42:00.157253  5521 solver.cpp:188] Iteration 57560, loss = 1.26108
I0306 07:42:00.157311  5521 solver.cpp:203]     Train net output #0: loss = 1.26108 (* 1 = 1.26108 loss)
I0306 07:42:00.157326  5521 solver.cpp:449] Iteration 57560, lr = 5e-05
I0306 07:42:13.052592  5521 solver.cpp:188] Iteration 57600, loss = 1.27176
I0306 07:42:13.052651  5521 solver.cpp:203]     Train net output #0: loss = 1.27176 (* 1 = 1.27176 loss)
I0306 07:42:13.052666  5521 solver.cpp:449] Iteration 57600, lr = 5e-05
I0306 07:42:25.924190  5521 solver.cpp:188] Iteration 57640, loss = 1.15571
I0306 07:42:25.924310  5521 solver.cpp:203]     Train net output #0: loss = 1.15571 (* 1 = 1.15571 loss)
I0306 07:42:25.924326  5521 solver.cpp:449] Iteration 57640, lr = 5e-05
I0306 07:42:38.868222  5521 solver.cpp:188] Iteration 57680, loss = 1.18498
I0306 07:42:38.868286  5521 solver.cpp:203]     Train net output #0: loss = 1.18498 (* 1 = 1.18498 loss)
I0306 07:42:38.868300  5521 solver.cpp:449] Iteration 57680, lr = 5e-05
I0306 07:42:52.037894  5521 solver.cpp:188] Iteration 57720, loss = 1.17484
I0306 07:42:52.037966  5521 solver.cpp:203]     Train net output #0: loss = 1.17484 (* 1 = 1.17484 loss)
I0306 07:42:52.037981  5521 solver.cpp:449] Iteration 57720, lr = 5e-05
I0306 07:43:04.999749  5521 solver.cpp:188] Iteration 57760, loss = 1.24688
I0306 07:43:04.999867  5521 solver.cpp:203]     Train net output #0: loss = 1.24688 (* 1 = 1.24688 loss)
I0306 07:43:04.999883  5521 solver.cpp:449] Iteration 57760, lr = 5e-05
I0306 07:43:18.009323  5521 solver.cpp:188] Iteration 57800, loss = 1.1398
I0306 07:43:18.009382  5521 solver.cpp:203]     Train net output #0: loss = 1.1398 (* 1 = 1.1398 loss)
I0306 07:43:18.009395  5521 solver.cpp:449] Iteration 57800, lr = 5e-05
I0306 07:43:30.975538  5521 solver.cpp:188] Iteration 57840, loss = 1.17067
I0306 07:43:30.975612  5521 solver.cpp:203]     Train net output #0: loss = 1.17067 (* 1 = 1.17067 loss)
I0306 07:43:30.975630  5521 solver.cpp:449] Iteration 57840, lr = 5e-05
I0306 07:43:44.021251  5521 solver.cpp:188] Iteration 57880, loss = 1.10738
I0306 07:43:44.021407  5521 solver.cpp:203]     Train net output #0: loss = 1.10738 (* 1 = 1.10738 loss)
I0306 07:43:44.021425  5521 solver.cpp:449] Iteration 57880, lr = 5e-05
I0306 07:43:57.008734  5521 solver.cpp:188] Iteration 57920, loss = 1.09862
I0306 07:43:57.008795  5521 solver.cpp:203]     Train net output #0: loss = 1.09862 (* 1 = 1.09862 loss)
I0306 07:43:57.008811  5521 solver.cpp:449] Iteration 57920, lr = 5e-05
I0306 07:44:09.918488  5521 solver.cpp:188] Iteration 57960, loss = 1.28735
I0306 07:44:09.918642  5521 solver.cpp:203]     Train net output #0: loss = 1.28735 (* 1 = 1.28735 loss)
I0306 07:44:09.918702  5521 solver.cpp:449] Iteration 57960, lr = 5e-05
I0306 07:44:23.047338  5521 solver.cpp:188] Iteration 58000, loss = 1.15307
I0306 07:44:23.047525  5521 solver.cpp:203]     Train net output #0: loss = 1.15307 (* 1 = 1.15307 loss)
I0306 07:44:23.047556  5521 solver.cpp:449] Iteration 58000, lr = 5e-05
I0306 07:44:36.243636  5521 solver.cpp:188] Iteration 58040, loss = 1.10758
I0306 07:44:36.243697  5521 solver.cpp:203]     Train net output #0: loss = 1.10758 (* 1 = 1.10758 loss)
I0306 07:44:36.243711  5521 solver.cpp:449] Iteration 58040, lr = 5e-05
I0306 07:44:49.224899  5521 solver.cpp:188] Iteration 58080, loss = 1.24546
I0306 07:44:49.225149  5521 solver.cpp:203]     Train net output #0: loss = 1.24546 (* 1 = 1.24546 loss)
I0306 07:44:49.225229  5521 solver.cpp:449] Iteration 58080, lr = 5e-05
I0306 07:45:02.133023  5521 solver.cpp:188] Iteration 58120, loss = 1.22408
I0306 07:45:02.133200  5521 solver.cpp:203]     Train net output #0: loss = 1.22408 (* 1 = 1.22408 loss)
I0306 07:45:02.133240  5521 solver.cpp:449] Iteration 58120, lr = 5e-05
I0306 07:45:15.494714  5521 solver.cpp:188] Iteration 58160, loss = 1.2198
I0306 07:45:15.494767  5521 solver.cpp:203]     Train net output #0: loss = 1.2198 (* 1 = 1.2198 loss)
I0306 07:45:15.494781  5521 solver.cpp:449] Iteration 58160, lr = 5e-05
I0306 07:45:28.667796  5521 solver.cpp:188] Iteration 58200, loss = 1.3906
I0306 07:45:28.667912  5521 solver.cpp:203]     Train net output #0: loss = 1.3906 (* 1 = 1.3906 loss)
I0306 07:45:28.667947  5521 solver.cpp:449] Iteration 58200, lr = 5e-05
I0306 07:45:41.831022  5521 solver.cpp:188] Iteration 58240, loss = 1.46947
I0306 07:45:41.831133  5521 solver.cpp:203]     Train net output #0: loss = 1.46947 (* 1 = 1.46947 loss)
I0306 07:45:41.831148  5521 solver.cpp:449] Iteration 58240, lr = 5e-05
I0306 07:45:54.861671  5521 solver.cpp:188] Iteration 58280, loss = 1.32098
I0306 07:45:54.861728  5521 solver.cpp:203]     Train net output #0: loss = 1.32098 (* 1 = 1.32098 loss)
I0306 07:45:54.861742  5521 solver.cpp:449] Iteration 58280, lr = 5e-05
I0306 07:46:07.681136  5521 solver.cpp:188] Iteration 58320, loss = 1.45649
I0306 07:46:07.681190  5521 solver.cpp:203]     Train net output #0: loss = 1.45649 (* 1 = 1.45649 loss)
I0306 07:46:07.681205  5521 solver.cpp:449] Iteration 58320, lr = 5e-05
I0306 07:46:20.628906  5521 solver.cpp:188] Iteration 58360, loss = 1.30877
I0306 07:46:20.629019  5521 solver.cpp:203]     Train net output #0: loss = 1.30877 (* 1 = 1.30877 loss)
I0306 07:46:20.629035  5521 solver.cpp:449] Iteration 58360, lr = 5e-05
I0306 07:46:33.790072  5521 solver.cpp:188] Iteration 58400, loss = 1.2298
I0306 07:46:33.790141  5521 solver.cpp:203]     Train net output #0: loss = 1.2298 (* 1 = 1.2298 loss)
I0306 07:46:33.790156  5521 solver.cpp:449] Iteration 58400, lr = 5e-05
I0306 07:46:46.724567  5521 solver.cpp:188] Iteration 58440, loss = 1.35761
I0306 07:46:46.724635  5521 solver.cpp:203]     Train net output #0: loss = 1.35761 (* 1 = 1.35761 loss)
I0306 07:46:46.724650  5521 solver.cpp:449] Iteration 58440, lr = 5e-05
I0306 07:46:59.725332  5521 solver.cpp:188] Iteration 58480, loss = 1.34684
I0306 07:46:59.725587  5521 solver.cpp:203]     Train net output #0: loss = 1.34684 (* 1 = 1.34684 loss)
I0306 07:46:59.725621  5521 solver.cpp:449] Iteration 58480, lr = 5e-05
I0306 07:47:12.639628  5521 solver.cpp:188] Iteration 58520, loss = 1.27128
I0306 07:47:12.639693  5521 solver.cpp:203]     Train net output #0: loss = 1.27128 (* 1 = 1.27128 loss)
I0306 07:47:12.639708  5521 solver.cpp:449] Iteration 58520, lr = 5e-05
I0306 07:47:25.630532  5521 solver.cpp:188] Iteration 58560, loss = 1.2047
I0306 07:47:25.630590  5521 solver.cpp:203]     Train net output #0: loss = 1.2047 (* 1 = 1.2047 loss)
I0306 07:47:25.630604  5521 solver.cpp:449] Iteration 58560, lr = 5e-05
I0306 07:47:38.646756  5521 solver.cpp:188] Iteration 58600, loss = 1.28097
I0306 07:47:38.646893  5521 solver.cpp:203]     Train net output #0: loss = 1.28097 (* 1 = 1.28097 loss)
I0306 07:47:38.646913  5521 solver.cpp:449] Iteration 58600, lr = 5e-05
I0306 07:47:51.553326  5521 solver.cpp:188] Iteration 58640, loss = 1.1961
I0306 07:47:51.553401  5521 solver.cpp:203]     Train net output #0: loss = 1.1961 (* 1 = 1.1961 loss)
I0306 07:47:51.553419  5521 solver.cpp:449] Iteration 58640, lr = 5e-05
I0306 07:48:04.676862  5521 solver.cpp:188] Iteration 58680, loss = 1.42077
I0306 07:48:04.676930  5521 solver.cpp:203]     Train net output #0: loss = 1.42077 (* 1 = 1.42077 loss)
I0306 07:48:04.676949  5521 solver.cpp:449] Iteration 58680, lr = 5e-05
I0306 07:48:18.094646  5521 solver.cpp:188] Iteration 58720, loss = 1.3212
I0306 07:48:18.094758  5521 solver.cpp:203]     Train net output #0: loss = 1.3212 (* 1 = 1.3212 loss)
I0306 07:48:18.094777  5521 solver.cpp:449] Iteration 58720, lr = 5e-05
I0306 07:48:30.936986  5521 solver.cpp:188] Iteration 58760, loss = 1.41874
I0306 07:48:30.937044  5521 solver.cpp:203]     Train net output #0: loss = 1.41874 (* 1 = 1.41874 loss)
I0306 07:48:30.937060  5521 solver.cpp:449] Iteration 58760, lr = 5e-05
I0306 07:48:44.238395  5521 solver.cpp:188] Iteration 58800, loss = 1.2332
I0306 07:48:44.238457  5521 solver.cpp:203]     Train net output #0: loss = 1.2332 (* 1 = 1.2332 loss)
I0306 07:48:44.238472  5521 solver.cpp:449] Iteration 58800, lr = 5e-05
I0306 07:48:57.161623  5521 solver.cpp:188] Iteration 58840, loss = 1.41017
I0306 07:48:57.161761  5521 solver.cpp:203]     Train net output #0: loss = 1.41017 (* 1 = 1.41017 loss)
I0306 07:48:57.161777  5521 solver.cpp:449] Iteration 58840, lr = 5e-05
I0306 07:49:10.185528  5521 solver.cpp:188] Iteration 58880, loss = 1.44275
I0306 07:49:10.185592  5521 solver.cpp:203]     Train net output #0: loss = 1.44275 (* 1 = 1.44275 loss)
I0306 07:49:10.185608  5521 solver.cpp:449] Iteration 58880, lr = 5e-05
I0306 07:49:23.154677  5521 solver.cpp:188] Iteration 58920, loss = 1.34956
I0306 07:49:23.154736  5521 solver.cpp:203]     Train net output #0: loss = 1.34956 (* 1 = 1.34956 loss)
I0306 07:49:23.154752  5521 solver.cpp:449] Iteration 58920, lr = 5e-05
I0306 07:49:35.993190  5521 solver.cpp:188] Iteration 58960, loss = 1.28545
I0306 07:49:35.993290  5521 solver.cpp:203]     Train net output #0: loss = 1.28545 (* 1 = 1.28545 loss)
I0306 07:49:35.993307  5521 solver.cpp:449] Iteration 58960, lr = 5e-05
I0306 07:49:49.329793  5521 solver.cpp:188] Iteration 59000, loss = 1.2393
I0306 07:49:49.329874  5521 solver.cpp:203]     Train net output #0: loss = 1.2393 (* 1 = 1.2393 loss)
I0306 07:49:49.329900  5521 solver.cpp:449] Iteration 59000, lr = 5e-05
I0306 07:50:02.200649  5521 solver.cpp:188] Iteration 59040, loss = 1.33062
I0306 07:50:02.200722  5521 solver.cpp:203]     Train net output #0: loss = 1.33062 (* 1 = 1.33062 loss)
I0306 07:50:02.200739  5521 solver.cpp:449] Iteration 59040, lr = 5e-05
I0306 07:50:15.055580  5521 solver.cpp:188] Iteration 59080, loss = 1.29645
I0306 07:50:15.055724  5521 solver.cpp:203]     Train net output #0: loss = 1.29645 (* 1 = 1.29645 loss)
I0306 07:50:15.055743  5521 solver.cpp:449] Iteration 59080, lr = 5e-05
I0306 07:50:27.918287  5521 solver.cpp:188] Iteration 59120, loss = 1.46439
I0306 07:50:27.918344  5521 solver.cpp:203]     Train net output #0: loss = 1.46439 (* 1 = 1.46439 loss)
I0306 07:50:27.918359  5521 solver.cpp:449] Iteration 59120, lr = 5e-05
I0306 07:50:41.001304  5521 solver.cpp:188] Iteration 59160, loss = 1.39404
I0306 07:50:41.001360  5521 solver.cpp:203]     Train net output #0: loss = 1.39404 (* 1 = 1.39404 loss)
I0306 07:50:41.001374  5521 solver.cpp:449] Iteration 59160, lr = 5e-05
I0306 07:50:53.855204  5521 solver.cpp:188] Iteration 59200, loss = 1.33156
I0306 07:50:53.855334  5521 solver.cpp:203]     Train net output #0: loss = 1.33156 (* 1 = 1.33156 loss)
I0306 07:50:53.855350  5521 solver.cpp:449] Iteration 59200, lr = 5e-05
I0306 07:51:06.803891  5521 solver.cpp:188] Iteration 59240, loss = 1.4118
I0306 07:51:06.803952  5521 solver.cpp:203]     Train net output #0: loss = 1.4118 (* 1 = 1.4118 loss)
I0306 07:51:06.803967  5521 solver.cpp:449] Iteration 59240, lr = 5e-05
I0306 07:51:19.724302  5521 solver.cpp:188] Iteration 59280, loss = 1.28305
I0306 07:51:19.724364  5521 solver.cpp:203]     Train net output #0: loss = 1.28305 (* 1 = 1.28305 loss)
I0306 07:51:19.724378  5521 solver.cpp:449] Iteration 59280, lr = 5e-05
I0306 07:51:32.689821  5521 solver.cpp:188] Iteration 59320, loss = 1.35519
I0306 07:51:32.689970  5521 solver.cpp:203]     Train net output #0: loss = 1.35519 (* 1 = 1.35519 loss)
I0306 07:51:32.689991  5521 solver.cpp:449] Iteration 59320, lr = 5e-05
I0306 07:51:45.847976  5521 solver.cpp:188] Iteration 59360, loss = 1.1778
I0306 07:51:45.848037  5521 solver.cpp:203]     Train net output #0: loss = 1.1778 (* 1 = 1.1778 loss)
I0306 07:51:45.848050  5521 solver.cpp:449] Iteration 59360, lr = 5e-05
I0306 07:51:58.814646  5521 solver.cpp:188] Iteration 59400, loss = 1.34852
I0306 07:51:58.814719  5521 solver.cpp:203]     Train net output #0: loss = 1.34852 (* 1 = 1.34852 loss)
I0306 07:51:58.814734  5521 solver.cpp:449] Iteration 59400, lr = 5e-05
I0306 07:52:12.181498  5521 solver.cpp:188] Iteration 59440, loss = 1.32164
I0306 07:52:12.181619  5521 solver.cpp:203]     Train net output #0: loss = 1.32164 (* 1 = 1.32164 loss)
I0306 07:52:12.181643  5521 solver.cpp:449] Iteration 59440, lr = 5e-05
I0306 07:52:25.338176  5521 solver.cpp:188] Iteration 59480, loss = 1.20044
I0306 07:52:25.338232  5521 solver.cpp:203]     Train net output #0: loss = 1.20044 (* 1 = 1.20044 loss)
I0306 07:52:25.338245  5521 solver.cpp:449] Iteration 59480, lr = 5e-05
I0306 07:52:38.599401  5521 solver.cpp:188] Iteration 59520, loss = 1.26698
I0306 07:52:38.599462  5521 solver.cpp:203]     Train net output #0: loss = 1.26698 (* 1 = 1.26698 loss)
I0306 07:52:38.599478  5521 solver.cpp:449] Iteration 59520, lr = 5e-05
I0306 07:52:51.403694  5521 solver.cpp:188] Iteration 59560, loss = 1.23629
I0306 07:52:51.404084  5521 solver.cpp:203]     Train net output #0: loss = 1.23629 (* 1 = 1.23629 loss)
I0306 07:52:51.404142  5521 solver.cpp:449] Iteration 59560, lr = 5e-05
I0306 07:53:04.301760  5521 solver.cpp:188] Iteration 59600, loss = 1.29404
I0306 07:53:04.301818  5521 solver.cpp:203]     Train net output #0: loss = 1.29404 (* 1 = 1.29404 loss)
I0306 07:53:04.301833  5521 solver.cpp:449] Iteration 59600, lr = 5e-05
I0306 07:53:17.734671  5521 solver.cpp:188] Iteration 59640, loss = 1.32374
I0306 07:53:17.734730  5521 solver.cpp:203]     Train net output #0: loss = 1.32374 (* 1 = 1.32374 loss)
I0306 07:53:17.734746  5521 solver.cpp:449] Iteration 59640, lr = 5e-05
I0306 07:53:30.731418  5521 solver.cpp:188] Iteration 59680, loss = 1.35671
I0306 07:53:30.731540  5521 solver.cpp:203]     Train net output #0: loss = 1.35671 (* 1 = 1.35671 loss)
I0306 07:53:30.731560  5521 solver.cpp:449] Iteration 59680, lr = 5e-05
I0306 07:53:43.617180  5521 solver.cpp:188] Iteration 59720, loss = 1.34133
I0306 07:53:43.617240  5521 solver.cpp:203]     Train net output #0: loss = 1.34133 (* 1 = 1.34133 loss)
I0306 07:53:43.617256  5521 solver.cpp:449] Iteration 59720, lr = 5e-05
I0306 07:53:56.592537  5521 solver.cpp:188] Iteration 59760, loss = 1.21022
I0306 07:53:56.592609  5521 solver.cpp:203]     Train net output #0: loss = 1.21022 (* 1 = 1.21022 loss)
I0306 07:53:56.592628  5521 solver.cpp:449] Iteration 59760, lr = 5e-05
I0306 07:54:09.972389  5521 solver.cpp:188] Iteration 59800, loss = 1.18035
I0306 07:54:09.972942  5521 solver.cpp:203]     Train net output #0: loss = 1.18035 (* 1 = 1.18035 loss)
I0306 07:54:09.973033  5521 solver.cpp:449] Iteration 59800, lr = 5e-05
I0306 07:54:22.972535  5521 solver.cpp:188] Iteration 59840, loss = 1.32906
I0306 07:54:22.972597  5521 solver.cpp:203]     Train net output #0: loss = 1.32906 (* 1 = 1.32906 loss)
I0306 07:54:22.972614  5521 solver.cpp:449] Iteration 59840, lr = 5e-05
I0306 07:54:35.884132  5521 solver.cpp:188] Iteration 59880, loss = 1.25095
I0306 07:54:35.884191  5521 solver.cpp:203]     Train net output #0: loss = 1.25095 (* 1 = 1.25095 loss)
I0306 07:54:35.884207  5521 solver.cpp:449] Iteration 59880, lr = 5e-05
I0306 07:54:48.925958  5521 solver.cpp:188] Iteration 59920, loss = 1.37599
I0306 07:54:48.927153  5521 solver.cpp:203]     Train net output #0: loss = 1.37599 (* 1 = 1.37599 loss)
I0306 07:54:48.927448  5521 solver.cpp:449] Iteration 59920, lr = 5e-05
I0306 07:55:02.014710  5521 solver.cpp:188] Iteration 59960, loss = 1.3704
I0306 07:55:02.014768  5521 solver.cpp:203]     Train net output #0: loss = 1.3704 (* 1 = 1.3704 loss)
I0306 07:55:02.014783  5521 solver.cpp:449] Iteration 59960, lr = 5e-05
I0306 07:55:15.497822  5521 solver.cpp:337] Snapshotting to cache/lsp/lsp_iter_60000.caffemodel
I0306 07:55:16.545007  5521 solver.cpp:345] Snapshotting solver state to cache/lsp/lsp_iter_60000.solverstate
I0306 07:55:17.245030  5521 solver.cpp:248] Iteration 60000, loss = 1.35738
I0306 07:55:17.245079  5521 solver.cpp:266] Iteration 60000, Testing net (#0)
I0306 07:55:34.632861  5521 solver.cpp:317]     Test net output #0: accuracy = 0.583269
I0306 07:55:34.632968  5521 solver.cpp:317]     Test net output #1: loss = 1.51862 (* 1 = 1.51862 loss)
I0306 07:55:34.632983  5521 solver.cpp:253] Optimization Done.
I0306 07:55:34.632990  5521 caffe.cpp:121] Optimization Done.

LSP-graphical-model-training-xjc.log

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