2024-05-20 16:47:05 transreid INFO: Saving model in the path :log/bs_exp/FastViT_SA24_MSMT17/64bs_lr0.0004_ep120_warm20_seed0
2024-05-20 16:47:05 transreid INFO: Loaded configuration file configs/msmt17/fastvit_sa24.yml
2024-05-20 16:47:05 transreid INFO: Running with config:
DATALOADER:
  NUM_INSTANCE: 4
  NUM_WORKERS: 8
  REMOVE_TAIL: 0
  SAMPLER: softmax_triplet
DATASETS:
  NAMES: msmt17
  ROOT_DIR: /home/ma-user/work/Datasets/ImageReID_Datasets/mixreid/
  ROOT_TRAIN_DIR: ../data
  ROOT_VAL_DIR: ../data
INPUT:
  PADDING: 10
  PIXEL_MEAN: [0.5, 0.5, 0.5]
  PIXEL_STD: [0.5, 0.5, 0.5]
  PROB: 0.5
  RE_PROB: 0.5
  SIZE_TEST: [256, 128]
  SIZE_TRAIN: [256, 128]
MODEL:
  ATT_DROP_RATE: 0.0
  COS_LAYER: False
  DEVICE: cuda
  DEVICE_ID: 1
  DEVIDE_LENGTH: 4
  DIST_TRAIN: False
  DROPOUT_RATE: 0.0
  DROP_OUT: 0.0
  DROP_PATH: 0.1
  FEAT_DIM: 512
  FEAT_FUSION: cat
  GEM_POOLING: False
  ID_LOSS_TYPE: softmax
  ID_LOSS_WEIGHT: 1.0
  IF_LABELSMOOTH: off
  IF_WITH_CENTER: no
  JPM: False
  LAST_STRIDE: 1
  METRIC_LOSS_TYPE: triplet
  MULTI_NECK: True
  NAME: fastvit_sa24
  NECK: bnneck
  NO_MARGIN: True
  PRETRAIN_CHOICE: self
  PRETRAIN_HW_RATIO: 2
  PRETRAIN_PATH: /home/ma-user/work/Projects/ReIDNets_Checkpoints_TransReID/FastViT_SA24.pth
  REDUCE_FEAT_DIM: False
  RE_ARRANGE: True
  SHIFT_NUM: 5
  SHUFFLE_GROUP: 2
  SIE_CAMERA: False
  SIE_COE: 3.0
  SIE_VIEW: False
  STEM_CONV: False
  STRIDE_SIZE: [16, 16]
  TRANSFORMER_TYPE: None
  TRIPLET_LOSS_WEIGHT: 1.0
OUTPUT_DIR: log/bs_exp/FastViT_SA24_MSMT17/64bs_lr0.0004_ep120_warm20_seed0
SOLVER:
  BASE_LR: 0.0004
  BIAS_LR_FACTOR: 2
  CENTER_LOSS_WEIGHT: 0.0005
  CENTER_LR: 0.5
  CHECKPOINT_PERIOD: 120
  COSINE_MARGIN: 0.5
  COSINE_SCALE: 30
  EVAL_PERIOD: 20
  GAMMA: 0.1
  IMS_PER_BATCH: 64
  LARGE_FC_LR: False
  LOG_PERIOD: 20
  MARGIN: 0.3
  MAX_EPOCHS: 120
  MOMENTUM: 0.9
  OPTIMIZER_NAME: SGD
  SEED: 0
  STEPS: (40, 70)
  TRP_L2: False
  WARMUP_EPOCHS: 20
  WARMUP_FACTOR: 0.01
  WARMUP_METHOD: cosine
  WEIGHT_DECAY: 0.0001
  WEIGHT_DECAY_BIAS: 0.0001
TEST:
  DIST_MAT: dist_mat.npy
  EVAL: True
  FEAT_NORM: yes
  IMS_PER_BATCH: 256
  NECK_FEAT: before
  RE_RANKING: False
  WEIGHT: 
2024-05-20 16:47:06 transreid.check INFO: Dataset statistics:
2024-05-20 16:47:06 transreid.check INFO:   ----------------------------------------
2024-05-20 16:47:06 transreid.check INFO:   subset   | # ids | # images | # cameras
2024-05-20 16:47:06 transreid.check INFO:   ----------------------------------------
2024-05-20 16:47:06 transreid.check INFO:   train    |  1041 |    32621 |        15
2024-05-20 16:47:06 transreid.check INFO:   query    |  3060 |    11659 |        15
2024-05-20 16:47:06 transreid.check INFO:   gallery  |  3060 |    82161 |        15
2024-05-20 16:47:06 transreid.check INFO:   ----------------------------------------
2024-05-20 16:47:11 transreid INFO: ===========using cosine learning rate=======
2024-05-20 16:47:11 transreid.train INFO: start training
2024-05-20 16:47:19 transreid.train INFO: Epoch[1] Iter[20/486] Loss: 15.135, Acc: 0.000, Base Lr: 2.38e-05
2024-05-20 16:47:23 transreid.train INFO: Epoch[1] Iter[40/486] Loss: 14.514, Acc: 0.000, Base Lr: 2.38e-05
2024-05-20 16:47:26 transreid.train INFO: Epoch[1] Iter[60/486] Loss: 13.963, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:47:29 transreid.train INFO: Epoch[1] Iter[80/486] Loss: 13.513, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:47:33 transreid.train INFO: Epoch[1] Iter[100/486] Loss: 13.175, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:47:36 transreid.train INFO: Epoch[1] Iter[120/486] Loss: 12.881, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:47:39 transreid.train INFO: Epoch[1] Iter[140/486] Loss: 12.708, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:47:43 transreid.train INFO: Epoch[1] Iter[160/486] Loss: 12.519, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:47:46 transreid.train INFO: Epoch[1] Iter[180/486] Loss: 12.353, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:47:49 transreid.train INFO: Epoch[1] Iter[200/486] Loss: 12.249, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:47:53 transreid.train INFO: Epoch[1] Iter[220/486] Loss: 12.110, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:47:56 transreid.train INFO: Epoch[1] Iter[240/486] Loss: 11.981, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:47:59 transreid.train INFO: Epoch[1] Iter[260/486] Loss: 11.867, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:48:03 transreid.train INFO: Epoch[1] Iter[280/486] Loss: 11.764, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:48:06 transreid.train INFO: Epoch[1] Iter[300/486] Loss: 11.656, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:48:09 transreid.train INFO: Epoch[1] Iter[320/486] Loss: 11.560, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:48:13 transreid.train INFO: Epoch[1] Iter[340/486] Loss: 11.469, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:48:16 transreid.train INFO: Epoch[1] Iter[360/486] Loss: 11.395, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:48:20 transreid.train INFO: Epoch[1] Iter[380/486] Loss: 11.327, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:48:23 transreid.train INFO: Epoch[1] Iter[400/486] Loss: 11.270, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:48:26 transreid.train INFO: Epoch[1] Iter[420/486] Loss: 11.202, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:48:30 transreid.train INFO: Epoch[1] Iter[440/486] Loss: 11.147, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:48:33 transreid.train INFO: Epoch[1] Iter[460/486] Loss: 11.089, Acc: 0.001, Base Lr: 2.38e-05
2024-05-20 16:48:36 transreid.train INFO: Epoch 1 done. Time per epoch: 84.919[s] Speed: 358.0[samples/s]
2024-05-20 16:48:40 transreid.train INFO: Epoch[2] Iter[20/486] Loss: 9.637, Acc: 0.000, Base Lr: 4.36e-05
2024-05-20 16:48:43 transreid.train INFO: Epoch[2] Iter[40/486] Loss: 9.578, Acc: 0.001, Base Lr: 4.36e-05
2024-05-20 16:48:47 transreid.train INFO: Epoch[2] Iter[60/486] Loss: 9.511, Acc: 0.001, Base Lr: 4.36e-05
2024-05-20 16:48:50 transreid.train INFO: Epoch[2] Iter[80/486] Loss: 9.444, Acc: 0.001, Base Lr: 4.36e-05
2024-05-20 16:48:53 transreid.train INFO: Epoch[2] Iter[100/486] Loss: 9.346, Acc: 0.001, Base Lr: 4.36e-05
2024-05-20 16:48:57 transreid.train INFO: Epoch[2] Iter[120/486] Loss: 9.287, Acc: 0.002, Base Lr: 4.36e-05
2024-05-20 16:49:00 transreid.train INFO: Epoch[2] Iter[140/486] Loss: 9.244, Acc: 0.002, Base Lr: 4.36e-05
2024-05-20 16:49:03 transreid.train INFO: Epoch[2] Iter[160/486] Loss: 9.170, Acc: 0.003, Base Lr: 4.36e-05
2024-05-20 16:49:07 transreid.train INFO: Epoch[2] Iter[180/486] Loss: 9.107, Acc: 0.003, Base Lr: 4.36e-05
2024-05-20 16:49:10 transreid.train INFO: Epoch[2] Iter[200/486] Loss: 9.051, Acc: 0.003, Base Lr: 4.36e-05
2024-05-20 16:49:14 transreid.train INFO: Epoch[2] Iter[220/486] Loss: 8.993, Acc: 0.004, Base Lr: 4.36e-05
2024-05-20 16:49:17 transreid.train INFO: Epoch[2] Iter[240/486] Loss: 8.947, Acc: 0.004, Base Lr: 4.36e-05
2024-05-20 16:49:20 transreid.train INFO: Epoch[2] Iter[260/486] Loss: 8.920, Acc: 0.005, Base Lr: 4.36e-05
2024-05-20 16:49:24 transreid.train INFO: Epoch[2] Iter[280/486] Loss: 8.893, Acc: 0.005, Base Lr: 4.36e-05
2024-05-20 16:49:27 transreid.train INFO: Epoch[2] Iter[300/486] Loss: 8.870, Acc: 0.005, Base Lr: 4.36e-05
2024-05-20 16:49:31 transreid.train INFO: Epoch[2] Iter[320/486] Loss: 8.840, Acc: 0.006, Base Lr: 4.36e-05
2024-05-20 16:49:34 transreid.train INFO: Epoch[2] Iter[340/486] Loss: 8.818, Acc: 0.006, Base Lr: 4.36e-05
2024-05-20 16:49:37 transreid.train INFO: Epoch[2] Iter[360/486] Loss: 8.786, Acc: 0.006, Base Lr: 4.36e-05
2024-05-20 16:49:41 transreid.train INFO: Epoch[2] Iter[380/486] Loss: 8.759, Acc: 0.007, Base Lr: 4.36e-05
2024-05-20 16:49:44 transreid.train INFO: Epoch[2] Iter[400/486] Loss: 8.738, Acc: 0.008, Base Lr: 4.36e-05
2024-05-20 16:49:47 transreid.train INFO: Epoch[2] Iter[420/486] Loss: 8.721, Acc: 0.009, Base Lr: 4.36e-05
2024-05-20 16:49:51 transreid.train INFO: Epoch[2] Iter[440/486] Loss: 8.706, Acc: 0.012, Base Lr: 4.36e-05
2024-05-20 16:49:54 transreid.train INFO: Epoch[2] Iter[460/486] Loss: 8.690, Acc: 0.017, Base Lr: 4.36e-05
2024-05-20 16:49:57 transreid.train INFO: Epoch 2 done. Time per epoch: 81.158[s] Speed: 374.6[samples/s]
2024-05-20 16:50:01 transreid.train INFO: Epoch[3] Iter[20/486] Loss: 8.157, Acc: 0.030, Base Lr: 6.34e-05
2024-05-20 16:50:04 transreid.train INFO: Epoch[3] Iter[40/486] Loss: 8.144, Acc: 0.036, Base Lr: 6.34e-05
2024-05-20 16:50:08 transreid.train INFO: Epoch[3] Iter[60/486] Loss: 8.093, Acc: 0.041, Base Lr: 6.34e-05
2024-05-20 16:50:11 transreid.train INFO: Epoch[3] Iter[80/486] Loss: 8.065, Acc: 0.042, Base Lr: 6.34e-05
2024-05-20 16:50:15 transreid.train INFO: Epoch[3] Iter[100/486] Loss: 8.040, Acc: 0.042, Base Lr: 6.34e-05
2024-05-20 16:50:18 transreid.train INFO: Epoch[3] Iter[120/486] Loss: 8.035, Acc: 0.043, Base Lr: 6.34e-05
2024-05-20 16:50:21 transreid.train INFO: Epoch[3] Iter[140/486] Loss: 8.025, Acc: 0.046, Base Lr: 6.34e-05
2024-05-20 16:50:25 transreid.train INFO: Epoch[3] Iter[160/486] Loss: 8.024, Acc: 0.048, Base Lr: 6.34e-05
2024-05-20 16:50:28 transreid.train INFO: Epoch[3] Iter[180/486] Loss: 8.009, Acc: 0.049, Base Lr: 6.34e-05
2024-05-20 16:50:32 transreid.train INFO: Epoch[3] Iter[200/486] Loss: 7.999, Acc: 0.052, Base Lr: 6.34e-05
2024-05-20 16:50:35 transreid.train INFO: Epoch[3] Iter[220/486] Loss: 7.990, Acc: 0.056, Base Lr: 6.34e-05
2024-05-20 16:50:38 transreid.train INFO: Epoch[3] Iter[240/486] Loss: 7.979, Acc: 0.058, Base Lr: 6.34e-05
2024-05-20 16:50:42 transreid.train INFO: Epoch[3] Iter[260/486] Loss: 7.965, Acc: 0.061, Base Lr: 6.34e-05
2024-05-20 16:50:45 transreid.train INFO: Epoch[3] Iter[280/486] Loss: 7.949, Acc: 0.065, Base Lr: 6.34e-05
2024-05-20 16:50:49 transreid.train INFO: Epoch[3] Iter[300/486] Loss: 7.948, Acc: 0.069, Base Lr: 6.34e-05
2024-05-20 16:50:52 transreid.train INFO: Epoch[3] Iter[320/486] Loss: 7.943, Acc: 0.073, Base Lr: 6.34e-05
2024-05-20 16:50:55 transreid.train INFO: Epoch[3] Iter[340/486] Loss: 7.945, Acc: 0.079, Base Lr: 6.34e-05
2024-05-20 16:50:59 transreid.train INFO: Epoch[3] Iter[360/486] Loss: 7.937, Acc: 0.086, Base Lr: 6.34e-05
2024-05-20 16:51:02 transreid.train INFO: Epoch[3] Iter[380/486] Loss: 7.931, Acc: 0.095, Base Lr: 6.34e-05
2024-05-20 16:51:06 transreid.train INFO: Epoch[3] Iter[400/486] Loss: 7.930, Acc: 0.105, Base Lr: 6.34e-05
2024-05-20 16:51:09 transreid.train INFO: Epoch[3] Iter[420/486] Loss: 7.929, Acc: 0.118, Base Lr: 6.34e-05
2024-05-20 16:51:13 transreid.train INFO: Epoch[3] Iter[440/486] Loss: 7.920, Acc: 0.134, Base Lr: 6.34e-05
2024-05-20 16:51:16 transreid.train INFO: Epoch[3] Iter[460/486] Loss: 7.913, Acc: 0.153, Base Lr: 6.34e-05
2024-05-20 16:51:19 transreid.train INFO: Epoch 3 done. Time per epoch: 81.813[s] Speed: 370.8[samples/s]
2024-05-20 16:51:23 transreid.train INFO: Epoch[4] Iter[20/486] Loss: 7.762, Acc: 0.069, Base Lr: 8.32e-05
2024-05-20 16:51:26 transreid.train INFO: Epoch[4] Iter[40/486] Loss: 7.734, Acc: 0.081, Base Lr: 8.32e-05
2024-05-20 16:51:30 transreid.train INFO: Epoch[4] Iter[60/486] Loss: 7.731, Acc: 0.079, Base Lr: 8.32e-05
2024-05-20 16:51:33 transreid.train INFO: Epoch[4] Iter[80/486] Loss: 7.727, Acc: 0.079, Base Lr: 8.32e-05
2024-05-20 16:51:37 transreid.train INFO: Epoch[4] Iter[100/486] Loss: 7.697, Acc: 0.081, Base Lr: 8.32e-05
2024-05-20 16:51:40 transreid.train INFO: Epoch[4] Iter[120/486] Loss: 7.702, Acc: 0.084, Base Lr: 8.32e-05
2024-05-20 16:51:44 transreid.train INFO: Epoch[4] Iter[140/486] Loss: 7.684, Acc: 0.084, Base Lr: 8.32e-05
2024-05-20 16:51:47 transreid.train INFO: Epoch[4] Iter[160/486] Loss: 7.680, Acc: 0.088, Base Lr: 8.32e-05
2024-05-20 16:51:51 transreid.train INFO: Epoch[4] Iter[180/486] Loss: 7.665, Acc: 0.091, Base Lr: 8.32e-05
2024-05-20 16:51:54 transreid.train INFO: Epoch[4] Iter[200/486] Loss: 7.656, Acc: 0.093, Base Lr: 8.32e-05
2024-05-20 16:51:57 transreid.train INFO: Epoch[4] Iter[220/486] Loss: 7.658, Acc: 0.096, Base Lr: 8.32e-05
2024-05-20 16:52:01 transreid.train INFO: Epoch[4] Iter[240/486] Loss: 7.648, Acc: 0.104, Base Lr: 8.32e-05
2024-05-20 16:52:04 transreid.train INFO: Epoch[4] Iter[260/486] Loss: 7.643, Acc: 0.109, Base Lr: 8.32e-05
2024-05-20 16:52:08 transreid.train INFO: Epoch[4] Iter[280/486] Loss: 7.635, Acc: 0.116, Base Lr: 8.32e-05
2024-05-20 16:52:11 transreid.train INFO: Epoch[4] Iter[300/486] Loss: 7.620, Acc: 0.122, Base Lr: 8.32e-05
2024-05-20 16:52:15 transreid.train INFO: Epoch[4] Iter[320/486] Loss: 7.607, Acc: 0.133, Base Lr: 8.32e-05
2024-05-20 16:52:18 transreid.train INFO: Epoch[4] Iter[340/486] Loss: 7.595, Acc: 0.145, Base Lr: 8.32e-05
2024-05-20 16:52:21 transreid.train INFO: Epoch[4] Iter[360/486] Loss: 7.587, Acc: 0.155, Base Lr: 8.32e-05
2024-05-20 16:52:25 transreid.train INFO: Epoch[4] Iter[380/486] Loss: 7.581, Acc: 0.166, Base Lr: 8.32e-05
2024-05-20 16:52:28 transreid.train INFO: Epoch[4] Iter[400/486] Loss: 7.576, Acc: 0.180, Base Lr: 8.32e-05
2024-05-20 16:52:32 transreid.train INFO: Epoch[4] Iter[420/486] Loss: 7.570, Acc: 0.193, Base Lr: 8.32e-05
2024-05-20 16:52:35 transreid.train INFO: Epoch[4] Iter[440/486] Loss: 7.559, Acc: 0.211, Base Lr: 8.32e-05
2024-05-20 16:52:39 transreid.train INFO: Epoch[4] Iter[460/486] Loss: 7.549, Acc: 0.233, Base Lr: 8.32e-05
2024-05-20 16:52:41 transreid.train INFO: Epoch 4 done. Time per epoch: 82.161[s] Speed: 368.4[samples/s]
2024-05-20 16:52:45 transreid.train INFO: Epoch[5] Iter[20/486] Loss: 7.357, Acc: 0.080, Base Lr: 1.03e-04
2024-05-20 16:52:49 transreid.train INFO: Epoch[5] Iter[40/486] Loss: 7.364, Acc: 0.072, Base Lr: 1.03e-04
2024-05-20 16:52:52 transreid.train INFO: Epoch[5] Iter[60/486] Loss: 7.366, Acc: 0.073, Base Lr: 1.03e-04
2024-05-20 16:52:55 transreid.train INFO: Epoch[5] Iter[80/486] Loss: 7.386, Acc: 0.073, Base Lr: 1.03e-04
2024-05-20 16:52:59 transreid.train INFO: Epoch[5] Iter[100/486] Loss: 7.392, Acc: 0.079, Base Lr: 1.03e-04
2024-05-20 16:53:02 transreid.train INFO: Epoch[5] Iter[120/486] Loss: 7.392, Acc: 0.079, Base Lr: 1.03e-04
2024-05-20 16:53:06 transreid.train INFO: Epoch[5] Iter[140/486] Loss: 7.386, Acc: 0.081, Base Lr: 1.03e-04
2024-05-20 16:53:09 transreid.train INFO: Epoch[5] Iter[160/486] Loss: 7.390, Acc: 0.084, Base Lr: 1.03e-04
2024-05-20 16:53:13 transreid.train INFO: Epoch[5] Iter[180/486] Loss: 7.386, Acc: 0.090, Base Lr: 1.03e-04
2024-05-20 16:53:16 transreid.train INFO: Epoch[5] Iter[200/486] Loss: 7.381, Acc: 0.095, Base Lr: 1.03e-04
2024-05-20 16:53:19 transreid.train INFO: Epoch[5] Iter[220/486] Loss: 7.375, Acc: 0.098, Base Lr: 1.03e-04
2024-05-20 16:53:23 transreid.train INFO: Epoch[5] Iter[240/486] Loss: 7.366, Acc: 0.103, Base Lr: 1.03e-04
2024-05-20 16:53:26 transreid.train INFO: Epoch[5] Iter[260/486] Loss: 7.362, Acc: 0.109, Base Lr: 1.03e-04
2024-05-20 16:53:30 transreid.train INFO: Epoch[5] Iter[280/486] Loss: 7.350, Acc: 0.118, Base Lr: 1.03e-04
2024-05-20 16:53:33 transreid.train INFO: Epoch[5] Iter[300/486] Loss: 7.348, Acc: 0.125, Base Lr: 1.03e-04
2024-05-20 16:53:37 transreid.train INFO: Epoch[5] Iter[320/486] Loss: 7.338, Acc: 0.133, Base Lr: 1.03e-04
2024-05-20 16:53:40 transreid.train INFO: Epoch[5] Iter[340/486] Loss: 7.326, Acc: 0.144, Base Lr: 1.03e-04
2024-05-20 16:53:43 transreid.train INFO: Epoch[5] Iter[360/486] Loss: 7.316, Acc: 0.154, Base Lr: 1.03e-04
2024-05-20 16:53:47 transreid.train INFO: Epoch[5] Iter[380/486] Loss: 7.309, Acc: 0.165, Base Lr: 1.03e-04
2024-05-20 16:53:50 transreid.train INFO: Epoch[5] Iter[400/486] Loss: 7.296, Acc: 0.178, Base Lr: 1.03e-04
2024-05-20 16:53:54 transreid.train INFO: Epoch[5] Iter[420/486] Loss: 7.283, Acc: 0.196, Base Lr: 1.03e-04
2024-05-20 16:53:57 transreid.train INFO: Epoch[5] Iter[440/486] Loss: 7.270, Acc: 0.213, Base Lr: 1.03e-04
2024-05-20 16:54:00 transreid.train INFO: Epoch[5] Iter[460/486] Loss: 7.249, Acc: 0.237, Base Lr: 1.03e-04
2024-05-20 16:54:03 transreid.train INFO: Epoch 5 done. Time per epoch: 81.965[s] Speed: 369.3[samples/s]
2024-05-20 16:54:07 transreid.train INFO: Epoch[6] Iter[20/486] Loss: 7.187, Acc: 0.091, Base Lr: 1.23e-04
2024-05-20 16:54:11 transreid.train INFO: Epoch[6] Iter[40/486] Loss: 7.183, Acc: 0.093, Base Lr: 1.23e-04
2024-05-20 16:54:14 transreid.train INFO: Epoch[6] Iter[60/486] Loss: 7.206, Acc: 0.095, Base Lr: 1.23e-04
2024-05-20 16:54:18 transreid.train INFO: Epoch[6] Iter[80/486] Loss: 7.194, Acc: 0.088, Base Lr: 1.23e-04
2024-05-20 16:54:21 transreid.train INFO: Epoch[6] Iter[100/486] Loss: 7.181, Acc: 0.092, Base Lr: 1.23e-04
2024-05-20 16:54:24 transreid.train INFO: Epoch[6] Iter[120/486] Loss: 7.173, Acc: 0.093, Base Lr: 1.23e-04
2024-05-20 16:54:28 transreid.train INFO: Epoch[6] Iter[140/486] Loss: 7.168, Acc: 0.096, Base Lr: 1.23e-04
2024-05-20 16:54:31 transreid.train INFO: Epoch[6] Iter[160/486] Loss: 7.149, Acc: 0.100, Base Lr: 1.23e-04
2024-05-20 16:54:35 transreid.train INFO: Epoch[6] Iter[180/486] Loss: 7.123, Acc: 0.103, Base Lr: 1.23e-04
2024-05-20 16:54:38 transreid.train INFO: Epoch[6] Iter[200/486] Loss: 7.112, Acc: 0.105, Base Lr: 1.23e-04
2024-05-20 16:54:41 transreid.train INFO: Epoch[6] Iter[220/486] Loss: 7.101, Acc: 0.107, Base Lr: 1.23e-04
2024-05-20 16:54:45 transreid.train INFO: Epoch[6] Iter[240/486] Loss: 7.095, Acc: 0.113, Base Lr: 1.23e-04
2024-05-20 16:54:48 transreid.train INFO: Epoch[6] Iter[260/486] Loss: 7.080, Acc: 0.117, Base Lr: 1.23e-04
2024-05-20 16:54:52 transreid.train INFO: Epoch[6] Iter[280/486] Loss: 7.065, Acc: 0.121, Base Lr: 1.23e-04
2024-05-20 16:54:55 transreid.train INFO: Epoch[6] Iter[300/486] Loss: 7.055, Acc: 0.126, Base Lr: 1.23e-04
2024-05-20 16:54:59 transreid.train INFO: Epoch[6] Iter[320/486] Loss: 7.044, Acc: 0.133, Base Lr: 1.23e-04
2024-05-20 16:55:02 transreid.train INFO: Epoch[6] Iter[340/486] Loss: 7.036, Acc: 0.140, Base Lr: 1.23e-04
2024-05-20 16:55:05 transreid.train INFO: Epoch[6] Iter[360/486] Loss: 7.021, Acc: 0.148, Base Lr: 1.23e-04
2024-05-20 16:55:09 transreid.train INFO: Epoch[6] Iter[380/486] Loss: 7.012, Acc: 0.157, Base Lr: 1.23e-04
2024-05-20 16:55:12 transreid.train INFO: Epoch[6] Iter[400/486] Loss: 6.994, Acc: 0.170, Base Lr: 1.23e-04
2024-05-20 16:55:16 transreid.train INFO: Epoch[6] Iter[420/486] Loss: 6.975, Acc: 0.186, Base Lr: 1.23e-04
2024-05-20 16:55:19 transreid.train INFO: Epoch[6] Iter[440/486] Loss: 6.949, Acc: 0.205, Base Lr: 1.23e-04
2024-05-20 16:55:22 transreid.train INFO: Epoch[6] Iter[460/486] Loss: 6.924, Acc: 0.224, Base Lr: 1.23e-04
2024-05-20 16:55:25 transreid.train INFO: Epoch 6 done. Time per epoch: 81.775[s] Speed: 370.2[samples/s]
2024-05-20 16:55:29 transreid.train INFO: Epoch[7] Iter[20/486] Loss: 6.917, Acc: 0.086, Base Lr: 1.43e-04
2024-05-20 16:55:32 transreid.train INFO: Epoch[7] Iter[40/486] Loss: 6.956, Acc: 0.082, Base Lr: 1.43e-04
2024-05-20 16:55:36 transreid.train INFO: Epoch[7] Iter[60/486] Loss: 6.930, Acc: 0.084, Base Lr: 1.43e-04
2024-05-20 16:55:39 transreid.train INFO: Epoch[7] Iter[80/486] Loss: 6.923, Acc: 0.077, Base Lr: 1.43e-04
2024-05-20 16:55:43 transreid.train INFO: Epoch[7] Iter[100/486] Loss: 6.915, Acc: 0.080, Base Lr: 1.43e-04
2024-05-20 16:55:46 transreid.train INFO: Epoch[7] Iter[120/486] Loss: 6.910, Acc: 0.084, Base Lr: 1.43e-04
2024-05-20 16:55:50 transreid.train INFO: Epoch[7] Iter[140/486] Loss: 6.898, Acc: 0.081, Base Lr: 1.43e-04
2024-05-20 16:55:53 transreid.train INFO: Epoch[7] Iter[160/486] Loss: 6.890, Acc: 0.083, Base Lr: 1.43e-04
2024-05-20 16:55:56 transreid.train INFO: Epoch[7] Iter[180/486] Loss: 6.879, Acc: 0.083, Base Lr: 1.43e-04
2024-05-20 16:56:00 transreid.train INFO: Epoch[7] Iter[200/486] Loss: 6.866, Acc: 0.085, Base Lr: 1.43e-04
2024-05-20 16:56:03 transreid.train INFO: Epoch[7] Iter[220/486] Loss: 6.844, Acc: 0.089, Base Lr: 1.43e-04
2024-05-20 16:56:07 transreid.train INFO: Epoch[7] Iter[240/486] Loss: 6.836, Acc: 0.093, Base Lr: 1.43e-04
2024-05-20 16:56:10 transreid.train INFO: Epoch[7] Iter[260/486] Loss: 6.818, Acc: 0.098, Base Lr: 1.43e-04
2024-05-20 16:56:14 transreid.train INFO: Epoch[7] Iter[280/486] Loss: 6.805, Acc: 0.100, Base Lr: 1.43e-04
2024-05-20 16:56:17 transreid.train INFO: Epoch[7] Iter[300/486] Loss: 6.788, Acc: 0.108, Base Lr: 1.43e-04
2024-05-20 16:56:20 transreid.train INFO: Epoch[7] Iter[320/486] Loss: 6.768, Acc: 0.115, Base Lr: 1.43e-04
2024-05-20 16:56:24 transreid.train INFO: Epoch[7] Iter[340/486] Loss: 6.753, Acc: 0.124, Base Lr: 1.43e-04
2024-05-20 16:56:27 transreid.train INFO: Epoch[7] Iter[360/486] Loss: 6.730, Acc: 0.134, Base Lr: 1.43e-04
2024-05-20 16:56:31 transreid.train INFO: Epoch[7] Iter[380/486] Loss: 6.702, Acc: 0.145, Base Lr: 1.43e-04
2024-05-20 16:56:34 transreid.train INFO: Epoch[7] Iter[400/486] Loss: 6.679, Acc: 0.157, Base Lr: 1.43e-04
2024-05-20 16:56:37 transreid.train INFO: Epoch[7] Iter[420/486] Loss: 6.647, Acc: 0.172, Base Lr: 1.43e-04
2024-05-20 16:56:41 transreid.train INFO: Epoch[7] Iter[440/486] Loss: 6.601, Acc: 0.194, Base Lr: 1.43e-04
2024-05-20 16:56:44 transreid.train INFO: Epoch[7] Iter[460/486] Loss: 6.548, Acc: 0.217, Base Lr: 1.43e-04
2024-05-20 16:56:47 transreid.train INFO: Epoch 7 done. Time per epoch: 82.226[s] Speed: 368.9[samples/s]
2024-05-20 16:56:51 transreid.train INFO: Epoch[8] Iter[20/486] Loss: 6.680, Acc: 0.084, Base Lr: 1.62e-04
2024-05-20 16:56:55 transreid.train INFO: Epoch[8] Iter[40/486] Loss: 6.669, Acc: 0.093, Base Lr: 1.62e-04
2024-05-20 16:56:58 transreid.train INFO: Epoch[8] Iter[60/486] Loss: 6.667, Acc: 0.085, Base Lr: 1.62e-04
2024-05-20 16:57:01 transreid.train INFO: Epoch[8] Iter[80/486] Loss: 6.645, Acc: 0.081, Base Lr: 1.62e-04
2024-05-20 16:57:05 transreid.train INFO: Epoch[8] Iter[100/486] Loss: 6.623, Acc: 0.080, Base Lr: 1.62e-04
2024-05-20 16:57:08 transreid.train INFO: Epoch[8] Iter[120/486] Loss: 6.618, Acc: 0.081, Base Lr: 1.62e-04
2024-05-20 16:57:12 transreid.train INFO: Epoch[8] Iter[140/486] Loss: 6.587, Acc: 0.083, Base Lr: 1.62e-04
2024-05-20 16:57:15 transreid.train INFO: Epoch[8] Iter[160/486] Loss: 6.568, Acc: 0.089, Base Lr: 1.62e-04
2024-05-20 16:57:19 transreid.train INFO: Epoch[8] Iter[180/486] Loss: 6.554, Acc: 0.091, Base Lr: 1.62e-04
2024-05-20 16:57:22 transreid.train INFO: Epoch[8] Iter[200/486] Loss: 6.539, Acc: 0.095, Base Lr: 1.62e-04
2024-05-20 16:57:25 transreid.train INFO: Epoch[8] Iter[220/486] Loss: 6.525, Acc: 0.098, Base Lr: 1.62e-04
2024-05-20 16:57:29 transreid.train INFO: Epoch[8] Iter[240/486] Loss: 6.506, Acc: 0.102, Base Lr: 1.62e-04
2024-05-20 16:57:32 transreid.train INFO: Epoch[8] Iter[260/486] Loss: 6.488, Acc: 0.108, Base Lr: 1.62e-04
2024-05-20 16:57:36 transreid.train INFO: Epoch[8] Iter[280/486] Loss: 6.468, Acc: 0.110, Base Lr: 1.62e-04
2024-05-20 16:57:39 transreid.train INFO: Epoch[8] Iter[300/486] Loss: 6.448, Acc: 0.114, Base Lr: 1.62e-04
2024-05-20 16:57:42 transreid.train INFO: Epoch[8] Iter[320/486] Loss: 6.419, Acc: 0.122, Base Lr: 1.62e-04
2024-05-20 16:57:46 transreid.train INFO: Epoch[8] Iter[340/486] Loss: 6.400, Acc: 0.127, Base Lr: 1.62e-04
2024-05-20 16:57:49 transreid.train INFO: Epoch[8] Iter[360/486] Loss: 6.377, Acc: 0.132, Base Lr: 1.62e-04
2024-05-20 16:57:53 transreid.train INFO: Epoch[8] Iter[380/486] Loss: 6.340, Acc: 0.142, Base Lr: 1.62e-04
2024-05-20 16:57:56 transreid.train INFO: Epoch[8] Iter[400/486] Loss: 6.300, Acc: 0.156, Base Lr: 1.62e-04
2024-05-20 16:57:59 transreid.train INFO: Epoch[8] Iter[420/486] Loss: 6.254, Acc: 0.172, Base Lr: 1.62e-04
2024-05-20 16:58:03 transreid.train INFO: Epoch[8] Iter[440/486] Loss: 6.198, Acc: 0.191, Base Lr: 1.62e-04
2024-05-20 16:58:06 transreid.train INFO: Epoch[8] Iter[460/486] Loss: 6.124, Acc: 0.214, Base Lr: 1.62e-04
2024-05-20 16:58:09 transreid.train INFO: Epoch 8 done. Time per epoch: 81.844[s] Speed: 369.9[samples/s]
2024-05-20 16:58:13 transreid.train INFO: Epoch[9] Iter[20/486] Loss: 6.333, Acc: 0.087, Base Lr: 1.82e-04
2024-05-20 16:58:16 transreid.train INFO: Epoch[9] Iter[40/486] Loss: 6.297, Acc: 0.085, Base Lr: 1.82e-04
2024-05-20 16:58:20 transreid.train INFO: Epoch[9] Iter[60/486] Loss: 6.303, Acc: 0.084, Base Lr: 1.82e-04
2024-05-20 16:58:23 transreid.train INFO: Epoch[9] Iter[80/486] Loss: 6.284, Acc: 0.085, Base Lr: 1.82e-04
2024-05-20 16:58:27 transreid.train INFO: Epoch[9] Iter[100/486] Loss: 6.284, Acc: 0.085, Base Lr: 1.82e-04
2024-05-20 16:58:30 transreid.train INFO: Epoch[9] Iter[120/486] Loss: 6.251, Acc: 0.087, Base Lr: 1.82e-04
2024-05-20 16:58:33 transreid.train INFO: Epoch[9] Iter[140/486] Loss: 6.241, Acc: 0.086, Base Lr: 1.82e-04
2024-05-20 16:58:37 transreid.train INFO: Epoch[9] Iter[160/486] Loss: 6.205, Acc: 0.090, Base Lr: 1.82e-04
2024-05-20 16:58:40 transreid.train INFO: Epoch[9] Iter[180/486] Loss: 6.196, Acc: 0.089, Base Lr: 1.82e-04
2024-05-20 16:58:44 transreid.train INFO: Epoch[9] Iter[200/486] Loss: 6.178, Acc: 0.092, Base Lr: 1.82e-04
2024-05-20 16:58:47 transreid.train INFO: Epoch[9] Iter[220/486] Loss: 6.149, Acc: 0.096, Base Lr: 1.82e-04
2024-05-20 16:58:50 transreid.train INFO: Epoch[9] Iter[240/486] Loss: 6.132, Acc: 0.099, Base Lr: 1.82e-04
2024-05-20 16:58:54 transreid.train INFO: Epoch[9] Iter[260/486] Loss: 6.106, Acc: 0.103, Base Lr: 1.82e-04
2024-05-20 16:58:57 transreid.train INFO: Epoch[9] Iter[280/486] Loss: 6.083, Acc: 0.108, Base Lr: 1.82e-04
2024-05-20 16:59:00 transreid.train INFO: Epoch[9] Iter[300/486] Loss: 6.060, Acc: 0.114, Base Lr: 1.82e-04
2024-05-20 16:59:04 transreid.train INFO: Epoch[9] Iter[320/486] Loss: 6.026, Acc: 0.120, Base Lr: 1.82e-04
2024-05-20 16:59:07 transreid.train INFO: Epoch[9] Iter[340/486] Loss: 5.989, Acc: 0.130, Base Lr: 1.82e-04
2024-05-20 16:59:11 transreid.train INFO: Epoch[9] Iter[360/486] Loss: 5.948, Acc: 0.140, Base Lr: 1.82e-04
2024-05-20 16:59:14 transreid.train INFO: Epoch[9] Iter[380/486] Loss: 5.905, Acc: 0.152, Base Lr: 1.82e-04
2024-05-20 16:59:18 transreid.train INFO: Epoch[9] Iter[400/486] Loss: 5.859, Acc: 0.165, Base Lr: 1.82e-04
2024-05-20 16:59:21 transreid.train INFO: Epoch[9] Iter[420/486] Loss: 5.800, Acc: 0.183, Base Lr: 1.82e-04
2024-05-20 16:59:24 transreid.train INFO: Epoch[9] Iter[440/486] Loss: 5.729, Acc: 0.204, Base Lr: 1.82e-04
2024-05-20 16:59:28 transreid.train INFO: Epoch[9] Iter[460/486] Loss: 5.637, Acc: 0.229, Base Lr: 1.82e-04
2024-05-20 16:59:30 transreid.train INFO: Epoch 9 done. Time per epoch: 81.603[s] Speed: 371.8[samples/s]
2024-05-20 16:59:35 transreid.train INFO: Epoch[10] Iter[20/486] Loss: 6.061, Acc: 0.080, Base Lr: 2.02e-04
2024-05-20 16:59:38 transreid.train INFO: Epoch[10] Iter[40/486] Loss: 5.972, Acc: 0.106, Base Lr: 2.02e-04
2024-05-20 16:59:41 transreid.train INFO: Epoch[10] Iter[60/486] Loss: 5.977, Acc: 0.103, Base Lr: 2.02e-04
2024-05-20 16:59:45 transreid.train INFO: Epoch[10] Iter[80/486] Loss: 5.971, Acc: 0.098, Base Lr: 2.02e-04
2024-05-20 16:59:48 transreid.train INFO: Epoch[10] Iter[100/486] Loss: 5.942, Acc: 0.094, Base Lr: 2.02e-04
2024-05-20 16:59:52 transreid.train INFO: Epoch[10] Iter[120/486] Loss: 5.913, Acc: 0.097, Base Lr: 2.02e-04
2024-05-20 16:59:55 transreid.train INFO: Epoch[10] Iter[140/486] Loss: 5.874, Acc: 0.101, Base Lr: 2.02e-04
2024-05-20 16:59:59 transreid.train INFO: Epoch[10] Iter[160/486] Loss: 5.859, Acc: 0.101, Base Lr: 2.02e-04
2024-05-20 17:00:02 transreid.train INFO: Epoch[10] Iter[180/486] Loss: 5.840, Acc: 0.106, Base Lr: 2.02e-04
2024-05-20 17:00:05 transreid.train INFO: Epoch[10] Iter[200/486] Loss: 5.815, Acc: 0.109, Base Lr: 2.02e-04
2024-05-20 17:00:09 transreid.train INFO: Epoch[10] Iter[220/486] Loss: 5.808, Acc: 0.111, Base Lr: 2.02e-04
2024-05-20 17:00:12 transreid.train INFO: Epoch[10] Iter[240/486] Loss: 5.784, Acc: 0.117, Base Lr: 2.02e-04
2024-05-20 17:00:16 transreid.train INFO: Epoch[10] Iter[260/486] Loss: 5.759, Acc: 0.120, Base Lr: 2.02e-04
2024-05-20 17:00:19 transreid.train INFO: Epoch[10] Iter[280/486] Loss: 5.724, Acc: 0.127, Base Lr: 2.02e-04
2024-05-20 17:00:23 transreid.train INFO: Epoch[10] Iter[300/486] Loss: 5.685, Acc: 0.134, Base Lr: 2.02e-04
2024-05-20 17:00:26 transreid.train INFO: Epoch[10] Iter[320/486] Loss: 5.650, Acc: 0.139, Base Lr: 2.02e-04
2024-05-20 17:00:29 transreid.train INFO: Epoch[10] Iter[340/486] Loss: 5.613, Acc: 0.147, Base Lr: 2.02e-04
2024-05-20 17:00:33 transreid.train INFO: Epoch[10] Iter[360/486] Loss: 5.559, Acc: 0.159, Base Lr: 2.02e-04
2024-05-20 17:00:36 transreid.train INFO: Epoch[10] Iter[380/486] Loss: 5.503, Acc: 0.171, Base Lr: 2.02e-04
2024-05-20 17:00:40 transreid.train INFO: Epoch[10] Iter[400/486] Loss: 5.442, Acc: 0.186, Base Lr: 2.02e-04
2024-05-20 17:00:43 transreid.train INFO: Epoch[10] Iter[420/486] Loss: 5.368, Acc: 0.205, Base Lr: 2.02e-04
2024-05-20 17:00:47 transreid.train INFO: Epoch[10] Iter[440/486] Loss: 5.278, Acc: 0.227, Base Lr: 2.02e-04
2024-05-20 17:00:50 transreid.train INFO: Epoch[10] Iter[460/486] Loss: 5.173, Acc: 0.253, Base Lr: 2.02e-04
2024-05-20 17:00:53 transreid.train INFO: Epoch 10 done. Time per epoch: 82.488[s] Speed: 368.5[samples/s]
2024-05-20 17:00:57 transreid.train INFO: Epoch[11] Iter[20/486] Loss: 5.620, Acc: 0.120, Base Lr: 2.22e-04
2024-05-20 17:01:00 transreid.train INFO: Epoch[11] Iter[40/486] Loss: 5.654, Acc: 0.111, Base Lr: 2.22e-04
2024-05-20 17:01:04 transreid.train INFO: Epoch[11] Iter[60/486] Loss: 5.635, Acc: 0.111, Base Lr: 2.22e-04
2024-05-20 17:01:07 transreid.train INFO: Epoch[11] Iter[80/486] Loss: 5.593, Acc: 0.112, Base Lr: 2.22e-04
2024-05-20 17:01:11 transreid.train INFO: Epoch[11] Iter[100/486] Loss: 5.590, Acc: 0.114, Base Lr: 2.22e-04
2024-05-20 17:01:14 transreid.train INFO: Epoch[11] Iter[120/486] Loss: 5.562, Acc: 0.119, Base Lr: 2.22e-04
2024-05-20 17:01:18 transreid.train INFO: Epoch[11] Iter[140/486] Loss: 5.536, Acc: 0.121, Base Lr: 2.22e-04
2024-05-20 17:01:21 transreid.train INFO: Epoch[11] Iter[160/486] Loss: 5.518, Acc: 0.125, Base Lr: 2.22e-04
2024-05-20 17:01:25 transreid.train INFO: Epoch[11] Iter[180/486] Loss: 5.478, Acc: 0.131, Base Lr: 2.22e-04
2024-05-20 17:01:28 transreid.train INFO: Epoch[11] Iter[200/486] Loss: 5.448, Acc: 0.135, Base Lr: 2.22e-04
2024-05-20 17:01:31 transreid.train INFO: Epoch[11] Iter[220/486] Loss: 5.419, Acc: 0.139, Base Lr: 2.22e-04
2024-05-20 17:01:35 transreid.train INFO: Epoch[11] Iter[240/486] Loss: 5.388, Acc: 0.143, Base Lr: 2.22e-04
2024-05-20 17:01:38 transreid.train INFO: Epoch[11] Iter[260/486] Loss: 5.364, Acc: 0.147, Base Lr: 2.22e-04
2024-05-20 17:01:42 transreid.train INFO: Epoch[11] Iter[280/486] Loss: 5.326, Acc: 0.153, Base Lr: 2.22e-04
2024-05-20 17:01:45 transreid.train INFO: Epoch[11] Iter[300/486] Loss: 5.280, Acc: 0.162, Base Lr: 2.22e-04
2024-05-20 17:01:49 transreid.train INFO: Epoch[11] Iter[320/486] Loss: 5.229, Acc: 0.173, Base Lr: 2.22e-04
2024-05-20 17:01:52 transreid.train INFO: Epoch[11] Iter[340/486] Loss: 5.180, Acc: 0.183, Base Lr: 2.22e-04
2024-05-20 17:01:55 transreid.train INFO: Epoch[11] Iter[360/486] Loss: 5.121, Acc: 0.196, Base Lr: 2.22e-04
2024-05-20 17:01:59 transreid.train INFO: Epoch[11] Iter[380/486] Loss: 5.065, Acc: 0.209, Base Lr: 2.22e-04
2024-05-20 17:02:02 transreid.train INFO: Epoch[11] Iter[400/486] Loss: 4.997, Acc: 0.227, Base Lr: 2.22e-04
2024-05-20 17:02:06 transreid.train INFO: Epoch[11] Iter[420/486] Loss: 4.914, Acc: 0.248, Base Lr: 2.22e-04
2024-05-20 17:02:09 transreid.train INFO: Epoch[11] Iter[440/486] Loss: 4.829, Acc: 0.270, Base Lr: 2.22e-04
2024-05-20 17:02:12 transreid.train INFO: Epoch[11] Iter[460/486] Loss: 4.719, Acc: 0.297, Base Lr: 2.22e-04
2024-05-20 17:02:15 transreid.train INFO: Epoch 11 done. Time per epoch: 81.915[s] Speed: 368.8[samples/s]
2024-05-20 17:02:19 transreid.train INFO: Epoch[12] Iter[20/486] Loss: 5.216, Acc: 0.155, Base Lr: 2.42e-04
2024-05-20 17:02:22 transreid.train INFO: Epoch[12] Iter[40/486] Loss: 5.236, Acc: 0.153, Base Lr: 2.42e-04
2024-05-20 17:02:26 transreid.train INFO: Epoch[12] Iter[60/486] Loss: 5.232, Acc: 0.150, Base Lr: 2.42e-04
2024-05-20 17:02:29 transreid.train INFO: Epoch[12] Iter[80/486] Loss: 5.252, Acc: 0.149, Base Lr: 2.42e-04
2024-05-20 17:02:33 transreid.train INFO: Epoch[12] Iter[100/486] Loss: 5.210, Acc: 0.157, Base Lr: 2.42e-04
2024-05-20 17:02:36 transreid.train INFO: Epoch[12] Iter[120/486] Loss: 5.193, Acc: 0.158, Base Lr: 2.42e-04
2024-05-20 17:02:40 transreid.train INFO: Epoch[12] Iter[140/486] Loss: 5.180, Acc: 0.159, Base Lr: 2.42e-04
2024-05-20 17:02:43 transreid.train INFO: Epoch[12] Iter[160/486] Loss: 5.155, Acc: 0.163, Base Lr: 2.42e-04
2024-05-20 17:02:46 transreid.train INFO: Epoch[12] Iter[180/486] Loss: 5.114, Acc: 0.169, Base Lr: 2.42e-04
2024-05-20 17:02:50 transreid.train INFO: Epoch[12] Iter[200/486] Loss: 5.071, Acc: 0.176, Base Lr: 2.42e-04
2024-05-20 17:02:53 transreid.train INFO: Epoch[12] Iter[220/486] Loss: 5.037, Acc: 0.183, Base Lr: 2.42e-04
2024-05-20 17:02:57 transreid.train INFO: Epoch[12] Iter[240/486] Loss: 4.999, Acc: 0.190, Base Lr: 2.42e-04
2024-05-20 17:03:00 transreid.train INFO: Epoch[12] Iter[260/486] Loss: 4.959, Acc: 0.198, Base Lr: 2.42e-04
2024-05-20 17:03:04 transreid.train INFO: Epoch[12] Iter[280/486] Loss: 4.933, Acc: 0.203, Base Lr: 2.42e-04
2024-05-20 17:03:07 transreid.train INFO: Epoch[12] Iter[300/486] Loss: 4.881, Acc: 0.214, Base Lr: 2.42e-04
2024-05-20 17:03:10 transreid.train INFO: Epoch[12] Iter[320/486] Loss: 4.830, Acc: 0.225, Base Lr: 2.42e-04
2024-05-20 17:03:14 transreid.train INFO: Epoch[12] Iter[340/486] Loss: 4.782, Acc: 0.236, Base Lr: 2.42e-04
2024-05-20 17:03:17 transreid.train INFO: Epoch[12] Iter[360/486] Loss: 4.727, Acc: 0.249, Base Lr: 2.42e-04
2024-05-20 17:03:21 transreid.train INFO: Epoch[12] Iter[380/486] Loss: 4.662, Acc: 0.265, Base Lr: 2.42e-04
2024-05-20 17:03:24 transreid.train INFO: Epoch[12] Iter[400/486] Loss: 4.586, Acc: 0.283, Base Lr: 2.42e-04
2024-05-20 17:03:27 transreid.train INFO: Epoch[12] Iter[420/486] Loss: 4.509, Acc: 0.304, Base Lr: 2.42e-04
2024-05-20 17:03:31 transreid.train INFO: Epoch[12] Iter[440/486] Loss: 4.419, Acc: 0.326, Base Lr: 2.42e-04
2024-05-20 17:03:34 transreid.train INFO: Epoch[12] Iter[460/486] Loss: 4.309, Acc: 0.351, Base Lr: 2.42e-04
2024-05-20 17:03:37 transreid.train INFO: Epoch 12 done. Time per epoch: 82.292[s] Speed: 369.4[samples/s]
2024-05-20 17:03:41 transreid.train INFO: Epoch[13] Iter[20/486] Loss: 5.023, Acc: 0.187, Base Lr: 2.61e-04
2024-05-20 17:03:45 transreid.train INFO: Epoch[13] Iter[40/486] Loss: 4.981, Acc: 0.193, Base Lr: 2.61e-04
2024-05-20 17:03:48 transreid.train INFO: Epoch[13] Iter[60/486] Loss: 4.935, Acc: 0.191, Base Lr: 2.61e-04
2024-05-20 17:03:52 transreid.train INFO: Epoch[13] Iter[80/486] Loss: 4.931, Acc: 0.188, Base Lr: 2.61e-04
2024-05-20 17:03:55 transreid.train INFO: Epoch[13] Iter[100/486] Loss: 4.878, Acc: 0.191, Base Lr: 2.61e-04
2024-05-20 17:03:58 transreid.train INFO: Epoch[13] Iter[120/486] Loss: 4.866, Acc: 0.190, Base Lr: 2.61e-04
2024-05-20 17:04:02 transreid.train INFO: Epoch[13] Iter[140/486] Loss: 4.847, Acc: 0.191, Base Lr: 2.61e-04
2024-05-20 17:04:05 transreid.train INFO: Epoch[13] Iter[160/486] Loss: 4.804, Acc: 0.196, Base Lr: 2.61e-04
2024-05-20 17:04:09 transreid.train INFO: Epoch[13] Iter[180/486] Loss: 4.775, Acc: 0.204, Base Lr: 2.61e-04
2024-05-20 17:04:12 transreid.train INFO: Epoch[13] Iter[200/486] Loss: 4.718, Acc: 0.214, Base Lr: 2.61e-04
2024-05-20 17:04:16 transreid.train INFO: Epoch[13] Iter[220/486] Loss: 4.679, Acc: 0.221, Base Lr: 2.61e-04
2024-05-20 17:04:19 transreid.train INFO: Epoch[13] Iter[240/486] Loss: 4.641, Acc: 0.229, Base Lr: 2.61e-04
2024-05-20 17:04:22 transreid.train INFO: Epoch[13] Iter[260/486] Loss: 4.588, Acc: 0.238, Base Lr: 2.61e-04
2024-05-20 17:04:26 transreid.train INFO: Epoch[13] Iter[280/486] Loss: 4.570, Acc: 0.244, Base Lr: 2.61e-04
2024-05-20 17:04:29 transreid.train INFO: Epoch[13] Iter[300/486] Loss: 4.514, Acc: 0.257, Base Lr: 2.61e-04
2024-05-20 17:04:33 transreid.train INFO: Epoch[13] Iter[320/486] Loss: 4.457, Acc: 0.271, Base Lr: 2.61e-04
2024-05-20 17:04:36 transreid.train INFO: Epoch[13] Iter[340/486] Loss: 4.402, Acc: 0.285, Base Lr: 2.61e-04
2024-05-20 17:04:40 transreid.train INFO: Epoch[13] Iter[360/486] Loss: 4.332, Acc: 0.301, Base Lr: 2.61e-04
2024-05-20 17:04:43 transreid.train INFO: Epoch[13] Iter[380/486] Loss: 4.266, Acc: 0.318, Base Lr: 2.61e-04
2024-05-20 17:04:46 transreid.train INFO: Epoch[13] Iter[400/486] Loss: 4.193, Acc: 0.336, Base Lr: 2.61e-04
2024-05-20 17:04:50 transreid.train INFO: Epoch[13] Iter[420/486] Loss: 4.097, Acc: 0.359, Base Lr: 2.61e-04
2024-05-20 17:04:53 transreid.train INFO: Epoch[13] Iter[440/486] Loss: 3.996, Acc: 0.383, Base Lr: 2.61e-04
2024-05-20 17:04:57 transreid.train INFO: Epoch[13] Iter[460/486] Loss: 3.889, Acc: 0.407, Base Lr: 2.61e-04
2024-05-20 17:04:59 transreid.train INFO: Epoch 13 done. Time per epoch: 81.890[s] Speed: 368.9[samples/s]
2024-05-20 17:05:03 transreid.train INFO: Epoch[14] Iter[20/486] Loss: 4.722, Acc: 0.190, Base Lr: 2.81e-04
2024-05-20 17:05:07 transreid.train INFO: Epoch[14] Iter[40/486] Loss: 4.693, Acc: 0.198, Base Lr: 2.81e-04
2024-05-20 17:05:10 transreid.train INFO: Epoch[14] Iter[60/486] Loss: 4.615, Acc: 0.211, Base Lr: 2.81e-04
2024-05-20 17:05:13 transreid.train INFO: Epoch[14] Iter[80/486] Loss: 4.539, Acc: 0.223, Base Lr: 2.81e-04
2024-05-20 17:05:17 transreid.train INFO: Epoch[14] Iter[100/486] Loss: 4.496, Acc: 0.231, Base Lr: 2.81e-04
2024-05-20 17:05:20 transreid.train INFO: Epoch[14] Iter[120/486] Loss: 4.484, Acc: 0.240, Base Lr: 2.81e-04
2024-05-20 17:05:24 transreid.train INFO: Epoch[14] Iter[140/486] Loss: 4.448, Acc: 0.249, Base Lr: 2.81e-04
2024-05-20 17:05:27 transreid.train INFO: Epoch[14] Iter[160/486] Loss: 4.419, Acc: 0.255, Base Lr: 2.81e-04
2024-05-20 17:05:30 transreid.train INFO: Epoch[14] Iter[180/486] Loss: 4.379, Acc: 0.262, Base Lr: 2.81e-04
2024-05-20 17:05:34 transreid.train INFO: Epoch[14] Iter[200/486] Loss: 4.342, Acc: 0.270, Base Lr: 2.81e-04
2024-05-20 17:05:37 transreid.train INFO: Epoch[14] Iter[220/486] Loss: 4.308, Acc: 0.277, Base Lr: 2.81e-04
2024-05-20 17:05:41 transreid.train INFO: Epoch[14] Iter[240/486] Loss: 4.272, Acc: 0.286, Base Lr: 2.81e-04
2024-05-20 17:05:44 transreid.train INFO: Epoch[14] Iter[260/486] Loss: 4.227, Acc: 0.298, Base Lr: 2.81e-04
2024-05-20 17:05:47 transreid.train INFO: Epoch[14] Iter[280/486] Loss: 4.183, Acc: 0.309, Base Lr: 2.81e-04
2024-05-20 17:05:51 transreid.train INFO: Epoch[14] Iter[300/486] Loss: 4.127, Acc: 0.321, Base Lr: 2.81e-04
2024-05-20 17:05:54 transreid.train INFO: Epoch[14] Iter[320/486] Loss: 4.067, Acc: 0.336, Base Lr: 2.81e-04
2024-05-20 17:05:58 transreid.train INFO: Epoch[14] Iter[340/486] Loss: 4.001, Acc: 0.353, Base Lr: 2.81e-04
2024-05-20 17:06:01 transreid.train INFO: Epoch[14] Iter[360/486] Loss: 3.950, Acc: 0.366, Base Lr: 2.81e-04
2024-05-20 17:06:04 transreid.train INFO: Epoch[14] Iter[380/486] Loss: 3.876, Acc: 0.385, Base Lr: 2.81e-04
2024-05-20 17:06:08 transreid.train INFO: Epoch[14] Iter[400/486] Loss: 3.806, Acc: 0.404, Base Lr: 2.81e-04
2024-05-20 17:06:11 transreid.train INFO: Epoch[14] Iter[420/486] Loss: 3.720, Acc: 0.424, Base Lr: 2.81e-04
2024-05-20 17:06:15 transreid.train INFO: Epoch[14] Iter[440/486] Loss: 3.624, Acc: 0.446, Base Lr: 2.81e-04
2024-05-20 17:06:18 transreid.train INFO: Epoch[14] Iter[460/486] Loss: 3.520, Acc: 0.468, Base Lr: 2.81e-04
2024-05-20 17:06:20 transreid.train INFO: Epoch 14 done. Time per epoch: 81.528[s] Speed: 372.1[samples/s]
2024-05-20 17:06:25 transreid.train INFO: Epoch[15] Iter[20/486] Loss: 4.408, Acc: 0.251, Base Lr: 3.01e-04
2024-05-20 17:06:28 transreid.train INFO: Epoch[15] Iter[40/486] Loss: 4.307, Acc: 0.262, Base Lr: 3.01e-04
2024-05-20 17:06:32 transreid.train INFO: Epoch[15] Iter[60/486] Loss: 4.226, Acc: 0.270, Base Lr: 3.01e-04
2024-05-20 17:06:35 transreid.train INFO: Epoch[15] Iter[80/486] Loss: 4.218, Acc: 0.276, Base Lr: 3.01e-04
2024-05-20 17:06:38 transreid.train INFO: Epoch[15] Iter[100/486] Loss: 4.143, Acc: 0.288, Base Lr: 3.01e-04
2024-05-20 17:06:42 transreid.train INFO: Epoch[15] Iter[120/486] Loss: 4.126, Acc: 0.291, Base Lr: 3.01e-04
2024-05-20 17:06:45 transreid.train INFO: Epoch[15] Iter[140/486] Loss: 4.087, Acc: 0.304, Base Lr: 3.01e-04
2024-05-20 17:06:48 transreid.train INFO: Epoch[15] Iter[160/486] Loss: 4.089, Acc: 0.304, Base Lr: 3.01e-04
2024-05-20 17:06:52 transreid.train INFO: Epoch[15] Iter[180/486] Loss: 4.057, Acc: 0.311, Base Lr: 3.01e-04
2024-05-20 17:06:55 transreid.train INFO: Epoch[15] Iter[200/486] Loss: 4.015, Acc: 0.324, Base Lr: 3.01e-04
2024-05-20 17:06:59 transreid.train INFO: Epoch[15] Iter[220/486] Loss: 3.968, Acc: 0.337, Base Lr: 3.01e-04
2024-05-20 17:07:02 transreid.train INFO: Epoch[15] Iter[240/486] Loss: 3.917, Acc: 0.348, Base Lr: 3.01e-04
2024-05-20 17:07:05 transreid.train INFO: Epoch[15] Iter[260/486] Loss: 3.866, Acc: 0.361, Base Lr: 3.01e-04
2024-05-20 17:07:09 transreid.train INFO: Epoch[15] Iter[280/486] Loss: 3.808, Acc: 0.377, Base Lr: 3.01e-04
2024-05-20 17:07:12 transreid.train INFO: Epoch[15] Iter[300/486] Loss: 3.751, Acc: 0.391, Base Lr: 3.01e-04
2024-05-20 17:07:16 transreid.train INFO: Epoch[15] Iter[320/486] Loss: 3.689, Acc: 0.407, Base Lr: 3.01e-04
2024-05-20 17:07:19 transreid.train INFO: Epoch[15] Iter[340/486] Loss: 3.627, Acc: 0.422, Base Lr: 3.01e-04
2024-05-20 17:07:22 transreid.train INFO: Epoch[15] Iter[360/486] Loss: 3.557, Acc: 0.439, Base Lr: 3.01e-04
2024-05-20 17:07:26 transreid.train INFO: Epoch[15] Iter[380/486] Loss: 3.486, Acc: 0.456, Base Lr: 3.01e-04
2024-05-20 17:07:29 transreid.train INFO: Epoch[15] Iter[400/486] Loss: 3.404, Acc: 0.476, Base Lr: 3.01e-04
2024-05-20 17:07:33 transreid.train INFO: Epoch[15] Iter[420/486] Loss: 3.320, Acc: 0.495, Base Lr: 3.01e-04
2024-05-20 17:07:36 transreid.train INFO: Epoch[15] Iter[440/486] Loss: 3.233, Acc: 0.514, Base Lr: 3.01e-04
2024-05-20 17:07:39 transreid.train INFO: Epoch[15] Iter[460/486] Loss: 3.139, Acc: 0.533, Base Lr: 3.01e-04
2024-05-20 17:07:42 transreid.train INFO: Epoch 15 done. Time per epoch: 81.255[s] Speed: 372.6[samples/s]
2024-05-20 17:07:46 transreid.train INFO: Epoch[16] Iter[20/486] Loss: 3.950, Acc: 0.330, Base Lr: 3.21e-04
2024-05-20 17:07:49 transreid.train INFO: Epoch[16] Iter[40/486] Loss: 3.938, Acc: 0.336, Base Lr: 3.21e-04
2024-05-20 17:07:53 transreid.train INFO: Epoch[16] Iter[60/486] Loss: 3.935, Acc: 0.340, Base Lr: 3.21e-04
2024-05-20 17:07:56 transreid.train INFO: Epoch[16] Iter[80/486] Loss: 3.889, Acc: 0.354, Base Lr: 3.21e-04
2024-05-20 17:08:00 transreid.train INFO: Epoch[16] Iter[100/486] Loss: 3.817, Acc: 0.369, Base Lr: 3.21e-04
2024-05-20 17:08:03 transreid.train INFO: Epoch[16] Iter[120/486] Loss: 3.743, Acc: 0.382, Base Lr: 3.21e-04
2024-05-20 17:08:06 transreid.train INFO: Epoch[16] Iter[140/486] Loss: 3.720, Acc: 0.389, Base Lr: 3.21e-04
2024-05-20 17:08:10 transreid.train INFO: Epoch[16] Iter[160/486] Loss: 3.690, Acc: 0.393, Base Lr: 3.21e-04
2024-05-20 17:08:13 transreid.train INFO: Epoch[16] Iter[180/486] Loss: 3.658, Acc: 0.399, Base Lr: 3.21e-04
2024-05-20 17:08:17 transreid.train INFO: Epoch[16] Iter[200/486] Loss: 3.626, Acc: 0.405, Base Lr: 3.21e-04
2024-05-20 17:08:20 transreid.train INFO: Epoch[16] Iter[220/486] Loss: 3.568, Acc: 0.419, Base Lr: 3.21e-04
2024-05-20 17:08:24 transreid.train INFO: Epoch[16] Iter[240/486] Loss: 3.509, Acc: 0.432, Base Lr: 3.21e-04
2024-05-20 17:08:27 transreid.train INFO: Epoch[16] Iter[260/486] Loss: 3.453, Acc: 0.445, Base Lr: 3.21e-04
2024-05-20 17:08:30 transreid.train INFO: Epoch[16] Iter[280/486] Loss: 3.407, Acc: 0.457, Base Lr: 3.21e-04
2024-05-20 17:08:34 transreid.train INFO: Epoch[16] Iter[300/486] Loss: 3.354, Acc: 0.470, Base Lr: 3.21e-04
2024-05-20 17:08:37 transreid.train INFO: Epoch[16] Iter[320/486] Loss: 3.300, Acc: 0.483, Base Lr: 3.21e-04
2024-05-20 17:08:41 transreid.train INFO: Epoch[16] Iter[340/486] Loss: 3.251, Acc: 0.495, Base Lr: 3.21e-04
2024-05-20 17:08:44 transreid.train INFO: Epoch[16] Iter[360/486] Loss: 3.188, Acc: 0.510, Base Lr: 3.21e-04
2024-05-20 17:08:48 transreid.train INFO: Epoch[16] Iter[380/486] Loss: 3.120, Acc: 0.526, Base Lr: 3.21e-04
2024-05-20 17:08:51 transreid.train INFO: Epoch[16] Iter[400/486] Loss: 3.046, Acc: 0.544, Base Lr: 3.21e-04
2024-05-20 17:08:54 transreid.train INFO: Epoch[16] Iter[420/486] Loss: 2.970, Acc: 0.561, Base Lr: 3.21e-04
2024-05-20 17:08:58 transreid.train INFO: Epoch[16] Iter[440/486] Loss: 2.889, Acc: 0.578, Base Lr: 3.21e-04
2024-05-20 17:09:01 transreid.train INFO: Epoch[16] Iter[460/486] Loss: 2.803, Acc: 0.595, Base Lr: 3.21e-04
2024-05-20 17:09:04 transreid.train INFO: Epoch 16 done. Time per epoch: 82.134[s] Speed: 369.3[samples/s]
2024-05-20 17:09:08 transreid.train INFO: Epoch[17] Iter[20/486] Loss: 3.753, Acc: 0.349, Base Lr: 3.41e-04
2024-05-20 17:09:12 transreid.train INFO: Epoch[17] Iter[40/486] Loss: 3.630, Acc: 0.386, Base Lr: 3.41e-04
2024-05-20 17:09:15 transreid.train INFO: Epoch[17] Iter[60/486] Loss: 3.556, Acc: 0.408, Base Lr: 3.41e-04
2024-05-20 17:09:18 transreid.train INFO: Epoch[17] Iter[80/486] Loss: 3.516, Acc: 0.418, Base Lr: 3.41e-04
2024-05-20 17:09:22 transreid.train INFO: Epoch[17] Iter[100/486] Loss: 3.477, Acc: 0.425, Base Lr: 3.41e-04
2024-05-20 17:09:25 transreid.train INFO: Epoch[17] Iter[120/486] Loss: 3.458, Acc: 0.425, Base Lr: 3.41e-04
2024-05-20 17:09:29 transreid.train INFO: Epoch[17] Iter[140/486] Loss: 3.418, Acc: 0.436, Base Lr: 3.41e-04
2024-05-20 17:09:32 transreid.train INFO: Epoch[17] Iter[160/486] Loss: 3.376, Acc: 0.446, Base Lr: 3.41e-04
2024-05-20 17:09:36 transreid.train INFO: Epoch[17] Iter[180/486] Loss: 3.336, Acc: 0.454, Base Lr: 3.41e-04
2024-05-20 17:09:39 transreid.train INFO: Epoch[17] Iter[200/486] Loss: 3.289, Acc: 0.467, Base Lr: 3.41e-04
2024-05-20 17:09:42 transreid.train INFO: Epoch[17] Iter[220/486] Loss: 3.234, Acc: 0.480, Base Lr: 3.41e-04
2024-05-20 17:09:46 transreid.train INFO: Epoch[17] Iter[240/486] Loss: 3.190, Acc: 0.492, Base Lr: 3.41e-04
2024-05-20 17:09:49 transreid.train INFO: Epoch[17] Iter[260/486] Loss: 3.141, Acc: 0.504, Base Lr: 3.41e-04
2024-05-20 17:09:53 transreid.train INFO: Epoch[17] Iter[280/486] Loss: 3.092, Acc: 0.518, Base Lr: 3.41e-04
2024-05-20 17:09:56 transreid.train INFO: Epoch[17] Iter[300/486] Loss: 3.029, Acc: 0.534, Base Lr: 3.41e-04
2024-05-20 17:09:59 transreid.train INFO: Epoch[17] Iter[320/486] Loss: 2.971, Acc: 0.549, Base Lr: 3.41e-04
2024-05-20 17:10:03 transreid.train INFO: Epoch[17] Iter[340/486] Loss: 2.904, Acc: 0.566, Base Lr: 3.41e-04
2024-05-20 17:10:06 transreid.train INFO: Epoch[17] Iter[360/486] Loss: 2.837, Acc: 0.582, Base Lr: 3.41e-04
2024-05-20 17:10:10 transreid.train INFO: Epoch[17] Iter[380/486] Loss: 2.773, Acc: 0.597, Base Lr: 3.41e-04
2024-05-20 17:10:13 transreid.train INFO: Epoch[17] Iter[400/486] Loss: 2.706, Acc: 0.613, Base Lr: 3.41e-04
2024-05-20 17:10:17 transreid.train INFO: Epoch[17] Iter[420/486] Loss: 2.644, Acc: 0.627, Base Lr: 3.41e-04
2024-05-20 17:10:20 transreid.train INFO: Epoch[17] Iter[440/486] Loss: 2.571, Acc: 0.642, Base Lr: 3.41e-04
2024-05-20 17:10:23 transreid.train INFO: Epoch[17] Iter[460/486] Loss: 2.497, Acc: 0.656, Base Lr: 3.41e-04
2024-05-20 17:10:26 transreid.train INFO: Epoch 17 done. Time per epoch: 82.163[s] Speed: 369.2[samples/s]
2024-05-20 17:10:30 transreid.train INFO: Epoch[18] Iter[20/486] Loss: 3.475, Acc: 0.423, Base Lr: 3.60e-04
2024-05-20 17:10:34 transreid.train INFO: Epoch[18] Iter[40/486] Loss: 3.486, Acc: 0.423, Base Lr: 3.60e-04
2024-05-20 17:10:37 transreid.train INFO: Epoch[18] Iter[60/486] Loss: 3.384, Acc: 0.447, Base Lr: 3.60e-04
2024-05-20 17:10:40 transreid.train INFO: Epoch[18] Iter[80/486] Loss: 3.274, Acc: 0.467, Base Lr: 3.60e-04
2024-05-20 17:10:44 transreid.train INFO: Epoch[18] Iter[100/486] Loss: 3.226, Acc: 0.476, Base Lr: 3.60e-04
2024-05-20 17:10:47 transreid.train INFO: Epoch[18] Iter[120/486] Loss: 3.188, Acc: 0.485, Base Lr: 3.60e-04
2024-05-20 17:10:51 transreid.train INFO: Epoch[18] Iter[140/486] Loss: 3.135, Acc: 0.499, Base Lr: 3.60e-04
2024-05-20 17:10:54 transreid.train INFO: Epoch[18] Iter[160/486] Loss: 3.091, Acc: 0.506, Base Lr: 3.60e-04
2024-05-20 17:10:57 transreid.train INFO: Epoch[18] Iter[180/486] Loss: 3.045, Acc: 0.518, Base Lr: 3.60e-04
2024-05-20 17:11:01 transreid.train INFO: Epoch[18] Iter[200/486] Loss: 3.013, Acc: 0.527, Base Lr: 3.60e-04
2024-05-20 17:11:04 transreid.train INFO: Epoch[18] Iter[220/486] Loss: 2.961, Acc: 0.538, Base Lr: 3.60e-04
2024-05-20 17:11:07 transreid.train INFO: Epoch[18] Iter[240/486] Loss: 2.911, Acc: 0.550, Base Lr: 3.60e-04
2024-05-20 17:11:11 transreid.train INFO: Epoch[18] Iter[260/486] Loss: 2.853, Acc: 0.565, Base Lr: 3.60e-04
2024-05-20 17:11:14 transreid.train INFO: Epoch[18] Iter[280/486] Loss: 2.795, Acc: 0.579, Base Lr: 3.60e-04
2024-05-20 17:11:18 transreid.train INFO: Epoch[18] Iter[300/486] Loss: 2.739, Acc: 0.594, Base Lr: 3.60e-04
2024-05-20 17:11:21 transreid.train INFO: Epoch[18] Iter[320/486] Loss: 2.676, Acc: 0.609, Base Lr: 3.60e-04
2024-05-20 17:11:24 transreid.train INFO: Epoch[18] Iter[340/486] Loss: 2.609, Acc: 0.625, Base Lr: 3.60e-04
2024-05-20 17:11:28 transreid.train INFO: Epoch[18] Iter[360/486] Loss: 2.550, Acc: 0.638, Base Lr: 3.60e-04
2024-05-20 17:11:31 transreid.train INFO: Epoch[18] Iter[380/486] Loss: 2.488, Acc: 0.652, Base Lr: 3.60e-04
2024-05-20 17:11:35 transreid.train INFO: Epoch[18] Iter[400/486] Loss: 2.420, Acc: 0.666, Base Lr: 3.60e-04
2024-05-20 17:11:38 transreid.train INFO: Epoch[18] Iter[420/486] Loss: 2.352, Acc: 0.680, Base Lr: 3.60e-04
2024-05-20 17:11:41 transreid.train INFO: Epoch[18] Iter[440/486] Loss: 2.280, Acc: 0.694, Base Lr: 3.60e-04
2024-05-20 17:11:45 transreid.train INFO: Epoch[18] Iter[460/486] Loss: 2.214, Acc: 0.706, Base Lr: 3.60e-04
2024-05-20 17:11:47 transreid.train INFO: Epoch 18 done. Time per epoch: 81.291[s] Speed: 373.2[samples/s]
2024-05-20 17:11:52 transreid.train INFO: Epoch[19] Iter[20/486] Loss: 3.044, Acc: 0.474, Base Lr: 3.80e-04
2024-05-20 17:11:55 transreid.train INFO: Epoch[19] Iter[40/486] Loss: 2.908, Acc: 0.519, Base Lr: 3.80e-04
2024-05-20 17:11:58 transreid.train INFO: Epoch[19] Iter[60/486] Loss: 2.914, Acc: 0.515, Base Lr: 3.80e-04
2024-05-20 17:12:02 transreid.train INFO: Epoch[19] Iter[80/486] Loss: 2.868, Acc: 0.533, Base Lr: 3.80e-04
2024-05-20 17:12:05 transreid.train INFO: Epoch[19] Iter[100/486] Loss: 2.814, Acc: 0.547, Base Lr: 3.80e-04
2024-05-20 17:12:09 transreid.train INFO: Epoch[19] Iter[120/486] Loss: 2.771, Acc: 0.559, Base Lr: 3.80e-04
2024-05-20 17:12:12 transreid.train INFO: Epoch[19] Iter[140/486] Loss: 2.748, Acc: 0.565, Base Lr: 3.80e-04
2024-05-20 17:12:15 transreid.train INFO: Epoch[19] Iter[160/486] Loss: 2.701, Acc: 0.575, Base Lr: 3.80e-04
2024-05-20 17:12:19 transreid.train INFO: Epoch[19] Iter[180/486] Loss: 2.642, Acc: 0.589, Base Lr: 3.80e-04
2024-05-20 17:12:22 transreid.train INFO: Epoch[19] Iter[200/486] Loss: 2.606, Acc: 0.601, Base Lr: 3.80e-04
2024-05-20 17:12:26 transreid.train INFO: Epoch[19] Iter[220/486] Loss: 2.568, Acc: 0.612, Base Lr: 3.80e-04
2024-05-20 17:12:29 transreid.train INFO: Epoch[19] Iter[240/486] Loss: 2.525, Acc: 0.624, Base Lr: 3.80e-04
2024-05-20 17:12:32 transreid.train INFO: Epoch[19] Iter[260/486] Loss: 2.476, Acc: 0.637, Base Lr: 3.80e-04
2024-05-20 17:12:36 transreid.train INFO: Epoch[19] Iter[280/486] Loss: 2.429, Acc: 0.648, Base Lr: 3.80e-04
2024-05-20 17:12:39 transreid.train INFO: Epoch[19] Iter[300/486] Loss: 2.389, Acc: 0.658, Base Lr: 3.80e-04
2024-05-20 17:12:43 transreid.train INFO: Epoch[19] Iter[320/486] Loss: 2.341, Acc: 0.669, Base Lr: 3.80e-04
2024-05-20 17:12:46 transreid.train INFO: Epoch[19] Iter[340/486] Loss: 2.285, Acc: 0.682, Base Lr: 3.80e-04
2024-05-20 17:12:49 transreid.train INFO: Epoch[19] Iter[360/486] Loss: 2.238, Acc: 0.693, Base Lr: 3.80e-04
2024-05-20 17:12:53 transreid.train INFO: Epoch[19] Iter[380/486] Loss: 2.181, Acc: 0.706, Base Lr: 3.80e-04
2024-05-20 17:12:56 transreid.train INFO: Epoch[19] Iter[400/486] Loss: 2.118, Acc: 0.718, Base Lr: 3.80e-04
2024-05-20 17:12:59 transreid.train INFO: Epoch[19] Iter[420/486] Loss: 2.055, Acc: 0.730, Base Lr: 3.80e-04
2024-05-20 17:13:03 transreid.train INFO: Epoch[19] Iter[440/486] Loss: 1.999, Acc: 0.741, Base Lr: 3.80e-04
2024-05-20 17:13:06 transreid.train INFO: Epoch[19] Iter[460/486] Loss: 1.938, Acc: 0.751, Base Lr: 3.80e-04
2024-05-20 17:13:09 transreid.train INFO: Epoch 19 done. Time per epoch: 81.494[s] Speed: 372.2[samples/s]
2024-05-20 17:13:13 transreid.train INFO: Epoch[20] Iter[20/486] Loss: 2.683, Acc: 0.562, Base Lr: 3.73e-04
2024-05-20 17:13:17 transreid.train INFO: Epoch[20] Iter[40/486] Loss: 2.639, Acc: 0.561, Base Lr: 3.73e-04
2024-05-20 17:13:20 transreid.train INFO: Epoch[20] Iter[60/486] Loss: 2.600, Acc: 0.573, Base Lr: 3.73e-04
2024-05-20 17:13:23 transreid.train INFO: Epoch[20] Iter[80/486] Loss: 2.541, Acc: 0.585, Base Lr: 3.73e-04
2024-05-20 17:13:27 transreid.train INFO: Epoch[20] Iter[100/486] Loss: 2.502, Acc: 0.598, Base Lr: 3.73e-04
2024-05-20 17:13:30 transreid.train INFO: Epoch[20] Iter[120/486] Loss: 2.478, Acc: 0.604, Base Lr: 3.73e-04
2024-05-20 17:13:34 transreid.train INFO: Epoch[20] Iter[140/486] Loss: 2.424, Acc: 0.621, Base Lr: 3.73e-04
2024-05-20 17:13:37 transreid.train INFO: Epoch[20] Iter[160/486] Loss: 2.385, Acc: 0.633, Base Lr: 3.73e-04
2024-05-20 17:13:41 transreid.train INFO: Epoch[20] Iter[180/486] Loss: 2.344, Acc: 0.646, Base Lr: 3.73e-04
2024-05-20 17:13:44 transreid.train INFO: Epoch[20] Iter[200/486] Loss: 2.306, Acc: 0.658, Base Lr: 3.73e-04
2024-05-20 17:13:48 transreid.train INFO: Epoch[20] Iter[220/486] Loss: 2.261, Acc: 0.669, Base Lr: 3.73e-04
2024-05-20 17:13:51 transreid.train INFO: Epoch[20] Iter[240/486] Loss: 2.218, Acc: 0.680, Base Lr: 3.73e-04
2024-05-20 17:13:54 transreid.train INFO: Epoch[20] Iter[260/486] Loss: 2.180, Acc: 0.688, Base Lr: 3.73e-04
2024-05-20 17:13:58 transreid.train INFO: Epoch[20] Iter[280/486] Loss: 2.139, Acc: 0.699, Base Lr: 3.73e-04
2024-05-20 17:14:01 transreid.train INFO: Epoch[20] Iter[300/486] Loss: 2.103, Acc: 0.709, Base Lr: 3.73e-04
2024-05-20 17:14:05 transreid.train INFO: Epoch[20] Iter[320/486] Loss: 2.057, Acc: 0.719, Base Lr: 3.73e-04
2024-05-20 17:14:08 transreid.train INFO: Epoch[20] Iter[340/486] Loss: 2.016, Acc: 0.729, Base Lr: 3.73e-04
2024-05-20 17:14:12 transreid.train INFO: Epoch[20] Iter[360/486] Loss: 1.977, Acc: 0.739, Base Lr: 3.73e-04
2024-05-20 17:14:15 transreid.train INFO: Epoch[20] Iter[380/486] Loss: 1.920, Acc: 0.750, Base Lr: 3.73e-04
2024-05-20 17:14:18 transreid.train INFO: Epoch[20] Iter[400/486] Loss: 1.866, Acc: 0.761, Base Lr: 3.73e-04
2024-05-20 17:14:22 transreid.train INFO: Epoch[20] Iter[420/486] Loss: 1.815, Acc: 0.770, Base Lr: 3.73e-04
2024-05-20 17:14:25 transreid.train INFO: Epoch[20] Iter[440/486] Loss: 1.764, Acc: 0.779, Base Lr: 3.73e-04
2024-05-20 17:14:29 transreid.train INFO: Epoch[20] Iter[460/486] Loss: 1.716, Acc: 0.787, Base Lr: 3.73e-04
2024-05-20 17:14:31 transreid.train INFO: Epoch 20 done. Time per epoch: 82.645[s] Speed: 367.1[samples/s]
2024-05-20 17:17:58 transreid.train INFO: Validation Results - Epoch: 20
2024-05-20 17:17:58 transreid.train INFO: mAP: 50.3%
2024-05-20 17:17:58 transreid.train INFO: CMC curve, Rank-1  :74.5%
2024-05-20 17:17:58 transreid.train INFO: CMC curve, Rank-5  :85.6%
2024-05-20 17:17:58 transreid.train INFO: CMC curve, Rank-10 :88.9%
2024-05-20 17:18:04 transreid.train INFO: Epoch[21] Iter[20/486] Loss: 2.360, Acc: 0.609, Base Lr: 3.71e-04
2024-05-20 17:18:07 transreid.train INFO: Epoch[21] Iter[40/486] Loss: 2.371, Acc: 0.607, Base Lr: 3.71e-04
2024-05-20 17:18:11 transreid.train INFO: Epoch[21] Iter[60/486] Loss: 2.273, Acc: 0.639, Base Lr: 3.71e-04
2024-05-20 17:18:14 transreid.train INFO: Epoch[21] Iter[80/486] Loss: 2.273, Acc: 0.641, Base Lr: 3.71e-04
2024-05-20 17:18:17 transreid.train INFO: Epoch[21] Iter[100/486] Loss: 2.267, Acc: 0.648, Base Lr: 3.71e-04
2024-05-20 17:18:21 transreid.train INFO: Epoch[21] Iter[120/486] Loss: 2.223, Acc: 0.658, Base Lr: 3.71e-04
2024-05-20 17:18:24 transreid.train INFO: Epoch[21] Iter[140/486] Loss: 2.175, Acc: 0.672, Base Lr: 3.71e-04
2024-05-20 17:18:27 transreid.train INFO: Epoch[21] Iter[160/486] Loss: 2.129, Acc: 0.683, Base Lr: 3.71e-04
2024-05-20 17:18:31 transreid.train INFO: Epoch[21] Iter[180/486] Loss: 2.090, Acc: 0.693, Base Lr: 3.71e-04
2024-05-20 17:18:34 transreid.train INFO: Epoch[21] Iter[200/486] Loss: 2.058, Acc: 0.702, Base Lr: 3.71e-04
2024-05-20 17:18:37 transreid.train INFO: Epoch[21] Iter[220/486] Loss: 2.012, Acc: 0.713, Base Lr: 3.71e-04
2024-05-20 17:18:41 transreid.train INFO: Epoch[21] Iter[240/486] Loss: 1.976, Acc: 0.722, Base Lr: 3.71e-04
2024-05-20 17:18:44 transreid.train INFO: Epoch[21] Iter[260/486] Loss: 1.927, Acc: 0.733, Base Lr: 3.71e-04
2024-05-20 17:18:48 transreid.train INFO: Epoch[21] Iter[280/486] Loss: 1.880, Acc: 0.744, Base Lr: 3.71e-04
2024-05-20 17:18:51 transreid.train INFO: Epoch[21] Iter[300/486] Loss: 1.841, Acc: 0.753, Base Lr: 3.71e-04
2024-05-20 17:18:54 transreid.train INFO: Epoch[21] Iter[320/486] Loss: 1.798, Acc: 0.763, Base Lr: 3.71e-04
2024-05-20 17:18:58 transreid.train INFO: Epoch[21] Iter[340/486] Loss: 1.758, Acc: 0.772, Base Lr: 3.71e-04
2024-05-20 17:19:01 transreid.train INFO: Epoch[21] Iter[360/486] Loss: 1.711, Acc: 0.781, Base Lr: 3.71e-04
2024-05-20 17:19:04 transreid.train INFO: Epoch[21] Iter[380/486] Loss: 1.670, Acc: 0.790, Base Lr: 3.71e-04
2024-05-20 17:19:08 transreid.train INFO: Epoch[21] Iter[400/486] Loss: 1.627, Acc: 0.798, Base Lr: 3.71e-04
2024-05-20 17:19:11 transreid.train INFO: Epoch[21] Iter[420/486] Loss: 1.580, Acc: 0.806, Base Lr: 3.71e-04
2024-05-20 17:19:15 transreid.train INFO: Epoch[21] Iter[440/486] Loss: 1.538, Acc: 0.813, Base Lr: 3.71e-04
2024-05-20 17:19:18 transreid.train INFO: Epoch[21] Iter[460/486] Loss: 1.491, Acc: 0.821, Base Lr: 3.71e-04
2024-05-20 17:19:21 transreid.train INFO: Epoch 21 done. Time per epoch: 82.601[s] Speed: 367.3[samples/s]
2024-05-20 17:19:26 transreid.train INFO: Epoch[22] Iter[20/486] Loss: 2.096, Acc: 0.665, Base Lr: 3.68e-04
2024-05-20 17:19:30 transreid.train INFO: Epoch[22] Iter[40/486] Loss: 2.080, Acc: 0.677, Base Lr: 3.68e-04
2024-05-20 17:19:33 transreid.train INFO: Epoch[22] Iter[60/486] Loss: 2.024, Acc: 0.697, Base Lr: 3.68e-04
2024-05-20 17:19:37 transreid.train INFO: Epoch[22] Iter[80/486] Loss: 1.995, Acc: 0.710, Base Lr: 3.68e-04
2024-05-20 17:19:40 transreid.train INFO: Epoch[22] Iter[100/486] Loss: 1.975, Acc: 0.715, Base Lr: 3.68e-04
2024-05-20 17:19:43 transreid.train INFO: Epoch[22] Iter[120/486] Loss: 1.934, Acc: 0.725, Base Lr: 3.68e-04
2024-05-20 17:19:47 transreid.train INFO: Epoch[22] Iter[140/486] Loss: 1.902, Acc: 0.731, Base Lr: 3.68e-04
2024-05-20 17:19:50 transreid.train INFO: Epoch[22] Iter[160/486] Loss: 1.863, Acc: 0.741, Base Lr: 3.68e-04
2024-05-20 17:19:54 transreid.train INFO: Epoch[22] Iter[180/486] Loss: 1.834, Acc: 0.748, Base Lr: 3.68e-04
2024-05-20 17:19:57 transreid.train INFO: Epoch[22] Iter[200/486] Loss: 1.775, Acc: 0.761, Base Lr: 3.68e-04
2024-05-20 17:20:00 transreid.train INFO: Epoch[22] Iter[220/486] Loss: 1.742, Acc: 0.769, Base Lr: 3.68e-04
2024-05-20 17:20:04 transreid.train INFO: Epoch[22] Iter[240/486] Loss: 1.715, Acc: 0.776, Base Lr: 3.68e-04
2024-05-20 17:20:07 transreid.train INFO: Epoch[22] Iter[260/486] Loss: 1.678, Acc: 0.784, Base Lr: 3.68e-04
2024-05-20 17:20:11 transreid.train INFO: Epoch[22] Iter[280/486] Loss: 1.641, Acc: 0.793, Base Lr: 3.68e-04
2024-05-20 17:20:14 transreid.train INFO: Epoch[22] Iter[300/486] Loss: 1.608, Acc: 0.800, Base Lr: 3.68e-04
2024-05-20 17:20:17 transreid.train INFO: Epoch[22] Iter[320/486] Loss: 1.573, Acc: 0.808, Base Lr: 3.68e-04
2024-05-20 17:20:21 transreid.train INFO: Epoch[22] Iter[340/486] Loss: 1.544, Acc: 0.814, Base Lr: 3.68e-04
2024-05-20 17:20:24 transreid.train INFO: Epoch[22] Iter[360/486] Loss: 1.508, Acc: 0.821, Base Lr: 3.68e-04
2024-05-20 17:20:28 transreid.train INFO: Epoch[22] Iter[380/486] Loss: 1.471, Acc: 0.828, Base Lr: 3.68e-04
2024-05-20 17:20:31 transreid.train INFO: Epoch[22] Iter[400/486] Loss: 1.430, Acc: 0.835, Base Lr: 3.68e-04
2024-05-20 17:20:35 transreid.train INFO: Epoch[22] Iter[420/486] Loss: 1.397, Acc: 0.841, Base Lr: 3.68e-04
2024-05-20 17:20:38 transreid.train INFO: Epoch[22] Iter[440/486] Loss: 1.358, Acc: 0.847, Base Lr: 3.68e-04
2024-05-20 17:20:42 transreid.train INFO: Epoch[22] Iter[460/486] Loss: 1.321, Acc: 0.852, Base Lr: 3.68e-04
2024-05-20 17:20:44 transreid.train INFO: Epoch 22 done. Time per epoch: 83.300[s] Speed: 362.6[samples/s]
2024-05-20 17:20:50 transreid.train INFO: Epoch[23] Iter[20/486] Loss: 1.937, Acc: 0.704, Base Lr: 3.65e-04
2024-05-20 17:20:53 transreid.train INFO: Epoch[23] Iter[40/486] Loss: 1.903, Acc: 0.705, Base Lr: 3.65e-04
2024-05-20 17:20:57 transreid.train INFO: Epoch[23] Iter[60/486] Loss: 1.853, Acc: 0.723, Base Lr: 3.65e-04
2024-05-20 17:21:00 transreid.train INFO: Epoch[23] Iter[80/486] Loss: 1.814, Acc: 0.734, Base Lr: 3.65e-04
2024-05-20 17:21:03 transreid.train INFO: Epoch[23] Iter[100/486] Loss: 1.820, Acc: 0.740, Base Lr: 3.65e-04
2024-05-20 17:21:07 transreid.train INFO: Epoch[23] Iter[120/486] Loss: 1.783, Acc: 0.751, Base Lr: 3.65e-04
2024-05-20 17:21:10 transreid.train INFO: Epoch[23] Iter[140/486] Loss: 1.741, Acc: 0.761, Base Lr: 3.65e-04
2024-05-20 17:21:13 transreid.train INFO: Epoch[23] Iter[160/486] Loss: 1.719, Acc: 0.766, Base Lr: 3.65e-04
2024-05-20 17:21:17 transreid.train INFO: Epoch[23] Iter[180/486] Loss: 1.666, Acc: 0.779, Base Lr: 3.65e-04
2024-05-20 17:21:20 transreid.train INFO: Epoch[23] Iter[200/486] Loss: 1.622, Acc: 0.789, Base Lr: 3.65e-04
2024-05-20 17:21:24 transreid.train INFO: Epoch[23] Iter[220/486] Loss: 1.581, Acc: 0.797, Base Lr: 3.65e-04
2024-05-20 17:21:27 transreid.train INFO: Epoch[23] Iter[240/486] Loss: 1.550, Acc: 0.805, Base Lr: 3.65e-04
2024-05-20 17:21:30 transreid.train INFO: Epoch[23] Iter[260/486] Loss: 1.518, Acc: 0.811, Base Lr: 3.65e-04
2024-05-20 17:21:34 transreid.train INFO: Epoch[23] Iter[280/486] Loss: 1.483, Acc: 0.820, Base Lr: 3.65e-04
2024-05-20 17:21:37 transreid.train INFO: Epoch[23] Iter[300/486] Loss: 1.448, Acc: 0.827, Base Lr: 3.65e-04
2024-05-20 17:21:41 transreid.train INFO: Epoch[23] Iter[320/486] Loss: 1.412, Acc: 0.834, Base Lr: 3.65e-04
2024-05-20 17:21:44 transreid.train INFO: Epoch[23] Iter[340/486] Loss: 1.374, Acc: 0.841, Base Lr: 3.65e-04
2024-05-20 17:21:47 transreid.train INFO: Epoch[23] Iter[360/486] Loss: 1.340, Acc: 0.847, Base Lr: 3.65e-04
2024-05-20 17:21:51 transreid.train INFO: Epoch[23] Iter[380/486] Loss: 1.307, Acc: 0.852, Base Lr: 3.65e-04
2024-05-20 17:21:54 transreid.train INFO: Epoch[23] Iter[400/486] Loss: 1.273, Acc: 0.858, Base Lr: 3.65e-04
2024-05-20 17:21:58 transreid.train INFO: Epoch[23] Iter[420/486] Loss: 1.237, Acc: 0.864, Base Lr: 3.65e-04
2024-05-20 17:22:01 transreid.train INFO: Epoch[23] Iter[440/486] Loss: 1.204, Acc: 0.869, Base Lr: 3.65e-04
2024-05-20 17:22:04 transreid.train INFO: Epoch[23] Iter[460/486] Loss: 1.166, Acc: 0.874, Base Lr: 3.65e-04
2024-05-20 17:22:07 transreid.train INFO: Epoch 23 done. Time per epoch: 83.191[s] Speed: 364.7[samples/s]
2024-05-20 17:22:13 transreid.train INFO: Epoch[24] Iter[20/486] Loss: 1.806, Acc: 0.727, Base Lr: 3.62e-04
2024-05-20 17:22:16 transreid.train INFO: Epoch[24] Iter[40/486] Loss: 1.727, Acc: 0.750, Base Lr: 3.62e-04
2024-05-20 17:22:20 transreid.train INFO: Epoch[24] Iter[60/486] Loss: 1.690, Acc: 0.756, Base Lr: 3.62e-04
2024-05-20 17:22:23 transreid.train INFO: Epoch[24] Iter[80/486] Loss: 1.663, Acc: 0.768, Base Lr: 3.62e-04
2024-05-20 17:22:26 transreid.train INFO: Epoch[24] Iter[100/486] Loss: 1.602, Acc: 0.784, Base Lr: 3.62e-04
2024-05-20 17:22:30 transreid.train INFO: Epoch[24] Iter[120/486] Loss: 1.560, Acc: 0.795, Base Lr: 3.62e-04
2024-05-20 17:22:33 transreid.train INFO: Epoch[24] Iter[140/486] Loss: 1.519, Acc: 0.804, Base Lr: 3.62e-04
2024-05-20 17:22:37 transreid.train INFO: Epoch[24] Iter[160/486] Loss: 1.494, Acc: 0.811, Base Lr: 3.62e-04
2024-05-20 17:22:40 transreid.train INFO: Epoch[24] Iter[180/486] Loss: 1.452, Acc: 0.821, Base Lr: 3.62e-04
2024-05-20 17:22:43 transreid.train INFO: Epoch[24] Iter[200/486] Loss: 1.431, Acc: 0.825, Base Lr: 3.62e-04
2024-05-20 17:22:47 transreid.train INFO: Epoch[24] Iter[220/486] Loss: 1.399, Acc: 0.831, Base Lr: 3.62e-04
2024-05-20 17:22:50 transreid.train INFO: Epoch[24] Iter[240/486] Loss: 1.366, Acc: 0.837, Base Lr: 3.62e-04
2024-05-20 17:22:54 transreid.train INFO: Epoch[24] Iter[260/486] Loss: 1.334, Acc: 0.844, Base Lr: 3.62e-04
2024-05-20 17:22:57 transreid.train INFO: Epoch[24] Iter[280/486] Loss: 1.305, Acc: 0.849, Base Lr: 3.62e-04
2024-05-20 17:23:00 transreid.train INFO: Epoch[24] Iter[300/486] Loss: 1.272, Acc: 0.856, Base Lr: 3.62e-04
2024-05-20 17:23:04 transreid.train INFO: Epoch[24] Iter[320/486] Loss: 1.243, Acc: 0.861, Base Lr: 3.62e-04
2024-05-20 17:23:07 transreid.train INFO: Epoch[24] Iter[340/486] Loss: 1.211, Acc: 0.867, Base Lr: 3.62e-04
2024-05-20 17:23:11 transreid.train INFO: Epoch[24] Iter[360/486] Loss: 1.183, Acc: 0.872, Base Lr: 3.62e-04
2024-05-20 17:23:14 transreid.train INFO: Epoch[24] Iter[380/486] Loss: 1.154, Acc: 0.877, Base Lr: 3.62e-04
2024-05-20 17:23:18 transreid.train INFO: Epoch[24] Iter[400/486] Loss: 1.125, Acc: 0.882, Base Lr: 3.62e-04
2024-05-20 17:23:21 transreid.train INFO: Epoch[24] Iter[420/486] Loss: 1.094, Acc: 0.887, Base Lr: 3.62e-04
2024-05-20 17:23:25 transreid.train INFO: Epoch[24] Iter[440/486] Loss: 1.061, Acc: 0.891, Base Lr: 3.62e-04
2024-05-20 17:23:28 transreid.train INFO: Epoch[24] Iter[460/486] Loss: 1.028, Acc: 0.895, Base Lr: 3.62e-04
2024-05-20 17:23:31 transreid.train INFO: Epoch 24 done. Time per epoch: 83.590[s] Speed: 362.9[samples/s]
2024-05-20 17:23:36 transreid.train INFO: Epoch[25] Iter[20/486] Loss: 1.393, Acc: 0.814, Base Lr: 3.59e-04
2024-05-20 17:23:40 transreid.train INFO: Epoch[25] Iter[40/486] Loss: 1.484, Acc: 0.797, Base Lr: 3.59e-04
2024-05-20 17:23:43 transreid.train INFO: Epoch[25] Iter[60/486] Loss: 1.461, Acc: 0.803, Base Lr: 3.59e-04
2024-05-20 17:23:47 transreid.train INFO: Epoch[25] Iter[80/486] Loss: 1.427, Acc: 0.814, Base Lr: 3.59e-04
2024-05-20 17:23:50 transreid.train INFO: Epoch[25] Iter[100/486] Loss: 1.410, Acc: 0.820, Base Lr: 3.59e-04
2024-05-20 17:23:53 transreid.train INFO: Epoch[25] Iter[120/486] Loss: 1.396, Acc: 0.821, Base Lr: 3.59e-04
2024-05-20 17:23:57 transreid.train INFO: Epoch[25] Iter[140/486] Loss: 1.356, Acc: 0.829, Base Lr: 3.59e-04
2024-05-20 17:24:00 transreid.train INFO: Epoch[25] Iter[160/486] Loss: 1.337, Acc: 0.834, Base Lr: 3.59e-04
2024-05-20 17:24:04 transreid.train INFO: Epoch[25] Iter[180/486] Loss: 1.312, Acc: 0.840, Base Lr: 3.59e-04
2024-05-20 17:24:07 transreid.train INFO: Epoch[25] Iter[200/486] Loss: 1.275, Acc: 0.848, Base Lr: 3.59e-04
2024-05-20 17:24:10 transreid.train INFO: Epoch[25] Iter[220/486] Loss: 1.247, Acc: 0.852, Base Lr: 3.59e-04
2024-05-20 17:24:14 transreid.train INFO: Epoch[25] Iter[240/486] Loss: 1.218, Acc: 0.859, Base Lr: 3.59e-04
2024-05-20 17:24:17 transreid.train INFO: Epoch[25] Iter[260/486] Loss: 1.185, Acc: 0.866, Base Lr: 3.59e-04
2024-05-20 17:24:21 transreid.train INFO: Epoch[25] Iter[280/486] Loss: 1.162, Acc: 0.871, Base Lr: 3.59e-04
2024-05-20 17:24:24 transreid.train INFO: Epoch[25] Iter[300/486] Loss: 1.138, Acc: 0.875, Base Lr: 3.59e-04
2024-05-20 17:24:27 transreid.train INFO: Epoch[25] Iter[320/486] Loss: 1.110, Acc: 0.881, Base Lr: 3.59e-04
2024-05-20 17:24:31 transreid.train INFO: Epoch[25] Iter[340/486] Loss: 1.088, Acc: 0.884, Base Lr: 3.59e-04
2024-05-20 17:24:34 transreid.train INFO: Epoch[25] Iter[360/486] Loss: 1.061, Acc: 0.889, Base Lr: 3.59e-04
2024-05-20 17:24:37 transreid.train INFO: Epoch[25] Iter[380/486] Loss: 1.034, Acc: 0.894, Base Lr: 3.59e-04
2024-05-20 17:24:41 transreid.train INFO: Epoch[25] Iter[400/486] Loss: 1.007, Acc: 0.898, Base Lr: 3.59e-04
2024-05-20 17:24:44 transreid.train INFO: Epoch[25] Iter[420/486] Loss: 0.977, Acc: 0.902, Base Lr: 3.59e-04
2024-05-20 17:24:48 transreid.train INFO: Epoch[25] Iter[440/486] Loss: 0.949, Acc: 0.906, Base Lr: 3.59e-04
2024-05-20 17:24:51 transreid.train INFO: Epoch[25] Iter[460/486] Loss: 0.922, Acc: 0.909, Base Lr: 3.59e-04
2024-05-20 17:24:54 transreid.train INFO: Epoch 25 done. Time per epoch: 83.050[s] Speed: 366.0[samples/s]
2024-05-20 17:25:00 transreid.train INFO: Epoch[26] Iter[20/486] Loss: 1.426, Acc: 0.805, Base Lr: 3.56e-04
2024-05-20 17:25:03 transreid.train INFO: Epoch[26] Iter[40/486] Loss: 1.386, Acc: 0.820, Base Lr: 3.56e-04
2024-05-20 17:25:06 transreid.train INFO: Epoch[26] Iter[60/486] Loss: 1.369, Acc: 0.820, Base Lr: 3.56e-04
2024-05-20 17:25:10 transreid.train INFO: Epoch[26] Iter[80/486] Loss: 1.347, Acc: 0.827, Base Lr: 3.56e-04
2024-05-20 17:25:13 transreid.train INFO: Epoch[26] Iter[100/486] Loss: 1.303, Acc: 0.835, Base Lr: 3.56e-04
2024-05-20 17:25:17 transreid.train INFO: Epoch[26] Iter[120/486] Loss: 1.276, Acc: 0.839, Base Lr: 3.56e-04
2024-05-20 17:25:20 transreid.train INFO: Epoch[26] Iter[140/486] Loss: 1.262, Acc: 0.843, Base Lr: 3.56e-04
2024-05-20 17:25:23 transreid.train INFO: Epoch[26] Iter[160/486] Loss: 1.221, Acc: 0.853, Base Lr: 3.56e-04
2024-05-20 17:25:27 transreid.train INFO: Epoch[26] Iter[180/486] Loss: 1.193, Acc: 0.860, Base Lr: 3.56e-04
2024-05-20 17:25:30 transreid.train INFO: Epoch[26] Iter[200/486] Loss: 1.166, Acc: 0.866, Base Lr: 3.56e-04
2024-05-20 17:25:34 transreid.train INFO: Epoch[26] Iter[220/486] Loss: 1.123, Acc: 0.875, Base Lr: 3.56e-04
2024-05-20 17:25:37 transreid.train INFO: Epoch[26] Iter[240/486] Loss: 1.088, Acc: 0.882, Base Lr: 3.56e-04
2024-05-20 17:25:40 transreid.train INFO: Epoch[26] Iter[260/486] Loss: 1.064, Acc: 0.887, Base Lr: 3.56e-04
2024-05-20 17:25:44 transreid.train INFO: Epoch[26] Iter[280/486] Loss: 1.037, Acc: 0.891, Base Lr: 3.56e-04
2024-05-20 17:25:47 transreid.train INFO: Epoch[26] Iter[300/486] Loss: 1.010, Acc: 0.896, Base Lr: 3.56e-04
2024-05-20 17:25:51 transreid.train INFO: Epoch[26] Iter[320/486] Loss: 0.986, Acc: 0.899, Base Lr: 3.56e-04
2024-05-20 17:25:54 transreid.train INFO: Epoch[26] Iter[340/486] Loss: 0.964, Acc: 0.903, Base Lr: 3.56e-04
2024-05-20 17:25:58 transreid.train INFO: Epoch[26] Iter[360/486] Loss: 0.940, Acc: 0.907, Base Lr: 3.56e-04
2024-05-20 17:26:01 transreid.train INFO: Epoch[26] Iter[380/486] Loss: 0.915, Acc: 0.911, Base Lr: 3.56e-04
2024-05-20 17:26:04 transreid.train INFO: Epoch[26] Iter[400/486] Loss: 0.892, Acc: 0.914, Base Lr: 3.56e-04
2024-05-20 17:26:08 transreid.train INFO: Epoch[26] Iter[420/486] Loss: 0.868, Acc: 0.917, Base Lr: 3.56e-04
2024-05-20 17:26:11 transreid.train INFO: Epoch[26] Iter[440/486] Loss: 0.843, Acc: 0.920, Base Lr: 3.56e-04
2024-05-20 17:26:15 transreid.train INFO: Epoch[26] Iter[460/486] Loss: 0.821, Acc: 0.923, Base Lr: 3.56e-04
2024-05-20 17:26:18 transreid.train INFO: Epoch 26 done. Time per epoch: 83.777[s] Speed: 362.9[samples/s]
2024-05-20 17:26:23 transreid.train INFO: Epoch[27] Iter[20/486] Loss: 1.271, Acc: 0.843, Base Lr: 3.52e-04
2024-05-20 17:26:27 transreid.train INFO: Epoch[27] Iter[40/486] Loss: 1.233, Acc: 0.846, Base Lr: 3.52e-04
2024-05-20 17:26:30 transreid.train INFO: Epoch[27] Iter[60/486] Loss: 1.189, Acc: 0.856, Base Lr: 3.52e-04
2024-05-20 17:26:34 transreid.train INFO: Epoch[27] Iter[80/486] Loss: 1.192, Acc: 0.858, Base Lr: 3.52e-04
2024-05-20 17:26:37 transreid.train INFO: Epoch[27] Iter[100/486] Loss: 1.161, Acc: 0.863, Base Lr: 3.52e-04
2024-05-20 17:26:40 transreid.train INFO: Epoch[27] Iter[120/486] Loss: 1.129, Acc: 0.868, Base Lr: 3.52e-04
2024-05-20 17:26:44 transreid.train INFO: Epoch[27] Iter[140/486] Loss: 1.101, Acc: 0.873, Base Lr: 3.52e-04
2024-05-20 17:26:47 transreid.train INFO: Epoch[27] Iter[160/486] Loss: 1.059, Acc: 0.882, Base Lr: 3.52e-04
2024-05-20 17:26:50 transreid.train INFO: Epoch[27] Iter[180/486] Loss: 1.032, Acc: 0.887, Base Lr: 3.52e-04
2024-05-20 17:26:54 transreid.train INFO: Epoch[27] Iter[200/486] Loss: 1.008, Acc: 0.892, Base Lr: 3.52e-04
2024-05-20 17:26:57 transreid.train INFO: Epoch[27] Iter[220/486] Loss: 0.992, Acc: 0.895, Base Lr: 3.52e-04
2024-05-20 17:27:01 transreid.train INFO: Epoch[27] Iter[240/486] Loss: 0.969, Acc: 0.899, Base Lr: 3.52e-04
2024-05-20 17:27:04 transreid.train INFO: Epoch[27] Iter[260/486] Loss: 0.948, Acc: 0.903, Base Lr: 3.52e-04
2024-05-20 17:27:08 transreid.train INFO: Epoch[27] Iter[280/486] Loss: 0.921, Acc: 0.907, Base Lr: 3.52e-04
2024-05-20 17:27:11 transreid.train INFO: Epoch[27] Iter[300/486] Loss: 0.897, Acc: 0.912, Base Lr: 3.52e-04
2024-05-20 17:27:15 transreid.train INFO: Epoch[27] Iter[320/486] Loss: 0.873, Acc: 0.915, Base Lr: 3.52e-04
2024-05-20 17:27:18 transreid.train INFO: Epoch[27] Iter[340/486] Loss: 0.857, Acc: 0.918, Base Lr: 3.52e-04
2024-05-20 17:27:21 transreid.train INFO: Epoch[27] Iter[360/486] Loss: 0.835, Acc: 0.921, Base Lr: 3.52e-04
2024-05-20 17:27:25 transreid.train INFO: Epoch[27] Iter[380/486] Loss: 0.814, Acc: 0.924, Base Lr: 3.52e-04
2024-05-20 17:27:28 transreid.train INFO: Epoch[27] Iter[400/486] Loss: 0.793, Acc: 0.927, Base Lr: 3.52e-04
2024-05-20 17:27:32 transreid.train INFO: Epoch[27] Iter[420/486] Loss: 0.774, Acc: 0.930, Base Lr: 3.52e-04
2024-05-20 17:27:35 transreid.train INFO: Epoch[27] Iter[440/486] Loss: 0.755, Acc: 0.932, Base Lr: 3.52e-04
2024-05-20 17:27:39 transreid.train INFO: Epoch[27] Iter[460/486] Loss: 0.735, Acc: 0.934, Base Lr: 3.52e-04
2024-05-20 17:27:41 transreid.train INFO: Epoch 27 done. Time per epoch: 83.801[s] Speed: 362.8[samples/s]
2024-05-20 17:27:47 transreid.train INFO: Epoch[28] Iter[20/486] Loss: 1.205, Acc: 0.846, Base Lr: 3.49e-04
2024-05-20 17:27:51 transreid.train INFO: Epoch[28] Iter[40/486] Loss: 1.129, Acc: 0.863, Base Lr: 3.49e-04
2024-05-20 17:27:54 transreid.train INFO: Epoch[28] Iter[60/486] Loss: 1.099, Acc: 0.864, Base Lr: 3.49e-04
2024-05-20 17:27:57 transreid.train INFO: Epoch[28] Iter[80/486] Loss: 1.085, Acc: 0.865, Base Lr: 3.49e-04
2024-05-20 17:28:01 transreid.train INFO: Epoch[28] Iter[100/486] Loss: 1.060, Acc: 0.873, Base Lr: 3.49e-04
2024-05-20 17:28:04 transreid.train INFO: Epoch[28] Iter[120/486] Loss: 1.049, Acc: 0.877, Base Lr: 3.49e-04
2024-05-20 17:28:08 transreid.train INFO: Epoch[28] Iter[140/486] Loss: 1.009, Acc: 0.886, Base Lr: 3.49e-04
2024-05-20 17:28:11 transreid.train INFO: Epoch[28] Iter[160/486] Loss: 0.986, Acc: 0.889, Base Lr: 3.49e-04
2024-05-20 17:28:14 transreid.train INFO: Epoch[28] Iter[180/486] Loss: 0.963, Acc: 0.893, Base Lr: 3.49e-04
2024-05-20 17:28:18 transreid.train INFO: Epoch[28] Iter[200/486] Loss: 0.941, Acc: 0.899, Base Lr: 3.49e-04
2024-05-20 17:28:21 transreid.train INFO: Epoch[28] Iter[220/486] Loss: 0.918, Acc: 0.903, Base Lr: 3.49e-04
2024-05-20 17:28:25 transreid.train INFO: Epoch[28] Iter[240/486] Loss: 0.893, Acc: 0.908, Base Lr: 3.49e-04
2024-05-20 17:28:28 transreid.train INFO: Epoch[28] Iter[260/486] Loss: 0.865, Acc: 0.913, Base Lr: 3.49e-04
2024-05-20 17:28:31 transreid.train INFO: Epoch[28] Iter[280/486] Loss: 0.840, Acc: 0.917, Base Lr: 3.49e-04
2024-05-20 17:28:35 transreid.train INFO: Epoch[28] Iter[300/486] Loss: 0.817, Acc: 0.921, Base Lr: 3.49e-04
2024-05-20 17:28:38 transreid.train INFO: Epoch[28] Iter[320/486] Loss: 0.795, Acc: 0.924, Base Lr: 3.49e-04
2024-05-20 17:28:42 transreid.train INFO: Epoch[28] Iter[340/486] Loss: 0.774, Acc: 0.928, Base Lr: 3.49e-04
2024-05-20 17:28:45 transreid.train INFO: Epoch[28] Iter[360/486] Loss: 0.755, Acc: 0.930, Base Lr: 3.49e-04
2024-05-20 17:28:48 transreid.train INFO: Epoch[28] Iter[380/486] Loss: 0.737, Acc: 0.932, Base Lr: 3.49e-04
2024-05-20 17:28:52 transreid.train INFO: Epoch[28] Iter[400/486] Loss: 0.717, Acc: 0.935, Base Lr: 3.49e-04
2024-05-20 17:28:55 transreid.train INFO: Epoch[28] Iter[420/486] Loss: 0.700, Acc: 0.937, Base Lr: 3.49e-04
2024-05-20 17:28:58 transreid.train INFO: Epoch[28] Iter[440/486] Loss: 0.682, Acc: 0.939, Base Lr: 3.49e-04
2024-05-20 17:29:02 transreid.train INFO: Epoch[28] Iter[460/486] Loss: 0.664, Acc: 0.941, Base Lr: 3.49e-04
2024-05-20 17:29:04 transreid.train INFO: Epoch 28 done. Time per epoch: 83.051[s] Speed: 364.5[samples/s]
2024-05-20 17:29:10 transreid.train INFO: Epoch[29] Iter[20/486] Loss: 1.006, Acc: 0.890, Base Lr: 3.45e-04
2024-05-20 17:29:14 transreid.train INFO: Epoch[29] Iter[40/486] Loss: 1.059, Acc: 0.879, Base Lr: 3.45e-04
2024-05-20 17:29:17 transreid.train INFO: Epoch[29] Iter[60/486] Loss: 1.006, Acc: 0.889, Base Lr: 3.45e-04
2024-05-20 17:29:21 transreid.train INFO: Epoch[29] Iter[80/486] Loss: 0.980, Acc: 0.895, Base Lr: 3.45e-04
2024-05-20 17:29:24 transreid.train INFO: Epoch[29] Iter[100/486] Loss: 0.959, Acc: 0.896, Base Lr: 3.45e-04
2024-05-20 17:29:28 transreid.train INFO: Epoch[29] Iter[120/486] Loss: 0.936, Acc: 0.901, Base Lr: 3.45e-04
2024-05-20 17:29:31 transreid.train INFO: Epoch[29] Iter[140/486] Loss: 0.921, Acc: 0.903, Base Lr: 3.45e-04
2024-05-20 17:29:34 transreid.train INFO: Epoch[29] Iter[160/486] Loss: 0.893, Acc: 0.909, Base Lr: 3.45e-04
2024-05-20 17:29:38 transreid.train INFO: Epoch[29] Iter[180/486] Loss: 0.873, Acc: 0.913, Base Lr: 3.45e-04
2024-05-20 17:29:41 transreid.train INFO: Epoch[29] Iter[200/486] Loss: 0.849, Acc: 0.918, Base Lr: 3.45e-04
2024-05-20 17:29:45 transreid.train INFO: Epoch[29] Iter[220/486] Loss: 0.830, Acc: 0.920, Base Lr: 3.45e-04
2024-05-20 17:29:48 transreid.train INFO: Epoch[29] Iter[240/486] Loss: 0.811, Acc: 0.924, Base Lr: 3.45e-04
2024-05-20 17:29:51 transreid.train INFO: Epoch[29] Iter[260/486] Loss: 0.794, Acc: 0.926, Base Lr: 3.45e-04
2024-05-20 17:29:55 transreid.train INFO: Epoch[29] Iter[280/486] Loss: 0.774, Acc: 0.929, Base Lr: 3.45e-04
2024-05-20 17:29:58 transreid.train INFO: Epoch[29] Iter[300/486] Loss: 0.752, Acc: 0.932, Base Lr: 3.45e-04
2024-05-20 17:30:01 transreid.train INFO: Epoch[29] Iter[320/486] Loss: 0.734, Acc: 0.935, Base Lr: 3.45e-04
2024-05-20 17:30:05 transreid.train INFO: Epoch[29] Iter[340/486] Loss: 0.715, Acc: 0.938, Base Lr: 3.45e-04
2024-05-20 17:30:08 transreid.train INFO: Epoch[29] Iter[360/486] Loss: 0.695, Acc: 0.940, Base Lr: 3.45e-04
2024-05-20 17:30:12 transreid.train INFO: Epoch[29] Iter[380/486] Loss: 0.677, Acc: 0.943, Base Lr: 3.45e-04
2024-05-20 17:30:15 transreid.train INFO: Epoch[29] Iter[400/486] Loss: 0.659, Acc: 0.945, Base Lr: 3.45e-04
2024-05-20 17:30:19 transreid.train INFO: Epoch[29] Iter[420/486] Loss: 0.643, Acc: 0.947, Base Lr: 3.45e-04
2024-05-20 17:30:22 transreid.train INFO: Epoch[29] Iter[440/486] Loss: 0.625, Acc: 0.948, Base Lr: 3.45e-04
2024-05-20 17:30:25 transreid.train INFO: Epoch[29] Iter[460/486] Loss: 0.608, Acc: 0.950, Base Lr: 3.45e-04
2024-05-20 17:30:28 transreid.train INFO: Epoch 29 done. Time per epoch: 83.488[s] Speed: 362.6[samples/s]
2024-05-20 17:30:34 transreid.train INFO: Epoch[30] Iter[20/486] Loss: 0.949, Acc: 0.880, Base Lr: 3.42e-04
2024-05-20 17:30:37 transreid.train INFO: Epoch[30] Iter[40/486] Loss: 0.965, Acc: 0.881, Base Lr: 3.42e-04
2024-05-20 17:30:40 transreid.train INFO: Epoch[30] Iter[60/486] Loss: 0.913, Acc: 0.895, Base Lr: 3.42e-04
2024-05-20 17:30:44 transreid.train INFO: Epoch[30] Iter[80/486] Loss: 0.881, Acc: 0.903, Base Lr: 3.42e-04
2024-05-20 17:30:47 transreid.train INFO: Epoch[30] Iter[100/486] Loss: 0.858, Acc: 0.907, Base Lr: 3.42e-04
2024-05-20 17:30:51 transreid.train INFO: Epoch[30] Iter[120/486] Loss: 0.842, Acc: 0.911, Base Lr: 3.42e-04
2024-05-20 17:30:54 transreid.train INFO: Epoch[30] Iter[140/486] Loss: 0.824, Acc: 0.914, Base Lr: 3.42e-04
2024-05-20 17:30:57 transreid.train INFO: Epoch[30] Iter[160/486] Loss: 0.807, Acc: 0.919, Base Lr: 3.42e-04
2024-05-20 17:31:01 transreid.train INFO: Epoch[30] Iter[180/486] Loss: 0.787, Acc: 0.922, Base Lr: 3.42e-04
2024-05-20 17:31:04 transreid.train INFO: Epoch[30] Iter[200/486] Loss: 0.769, Acc: 0.925, Base Lr: 3.42e-04
2024-05-20 17:31:08 transreid.train INFO: Epoch[30] Iter[220/486] Loss: 0.756, Acc: 0.927, Base Lr: 3.42e-04
2024-05-20 17:31:11 transreid.train INFO: Epoch[30] Iter[240/486] Loss: 0.739, Acc: 0.930, Base Lr: 3.42e-04
2024-05-20 17:31:15 transreid.train INFO: Epoch[30] Iter[260/486] Loss: 0.726, Acc: 0.932, Base Lr: 3.42e-04
2024-05-20 17:31:18 transreid.train INFO: Epoch[30] Iter[280/486] Loss: 0.711, Acc: 0.935, Base Lr: 3.42e-04
2024-05-20 17:31:22 transreid.train INFO: Epoch[30] Iter[300/486] Loss: 0.693, Acc: 0.938, Base Lr: 3.42e-04
2024-05-20 17:31:25 transreid.train INFO: Epoch[30] Iter[320/486] Loss: 0.677, Acc: 0.940, Base Lr: 3.42e-04
2024-05-20 17:31:28 transreid.train INFO: Epoch[30] Iter[340/486] Loss: 0.662, Acc: 0.942, Base Lr: 3.42e-04
2024-05-20 17:31:32 transreid.train INFO: Epoch[30] Iter[360/486] Loss: 0.649, Acc: 0.944, Base Lr: 3.42e-04
2024-05-20 17:31:35 transreid.train INFO: Epoch[30] Iter[380/486] Loss: 0.633, Acc: 0.946, Base Lr: 3.42e-04
2024-05-20 17:31:39 transreid.train INFO: Epoch[30] Iter[400/486] Loss: 0.617, Acc: 0.948, Base Lr: 3.42e-04
2024-05-20 17:31:42 transreid.train INFO: Epoch[30] Iter[420/486] Loss: 0.601, Acc: 0.950, Base Lr: 3.42e-04
2024-05-20 17:31:46 transreid.train INFO: Epoch[30] Iter[440/486] Loss: 0.586, Acc: 0.951, Base Lr: 3.42e-04
2024-05-20 17:31:49 transreid.train INFO: Epoch[30] Iter[460/486] Loss: 0.569, Acc: 0.953, Base Lr: 3.42e-04
2024-05-20 17:31:52 transreid.train INFO: Epoch 30 done. Time per epoch: 83.984[s] Speed: 361.2[samples/s]
2024-05-20 17:31:58 transreid.train INFO: Epoch[31] Iter[20/486] Loss: 0.840, Acc: 0.899, Base Lr: 3.38e-04
2024-05-20 17:32:01 transreid.train INFO: Epoch[31] Iter[40/486] Loss: 0.826, Acc: 0.911, Base Lr: 3.38e-04
2024-05-20 17:32:04 transreid.train INFO: Epoch[31] Iter[60/486] Loss: 0.777, Acc: 0.920, Base Lr: 3.38e-04
2024-05-20 17:32:08 transreid.train INFO: Epoch[31] Iter[80/486] Loss: 0.767, Acc: 0.921, Base Lr: 3.38e-04
2024-05-20 17:32:11 transreid.train INFO: Epoch[31] Iter[100/486] Loss: 0.750, Acc: 0.923, Base Lr: 3.38e-04
2024-05-20 17:32:15 transreid.train INFO: Epoch[31] Iter[120/486] Loss: 0.743, Acc: 0.924, Base Lr: 3.38e-04
2024-05-20 17:32:18 transreid.train INFO: Epoch[31] Iter[140/486] Loss: 0.720, Acc: 0.928, Base Lr: 3.38e-04
2024-05-20 17:32:21 transreid.train INFO: Epoch[31] Iter[160/486] Loss: 0.714, Acc: 0.930, Base Lr: 3.38e-04
2024-05-20 17:32:25 transreid.train INFO: Epoch[31] Iter[180/486] Loss: 0.691, Acc: 0.933, Base Lr: 3.38e-04
2024-05-20 17:32:28 transreid.train INFO: Epoch[31] Iter[200/486] Loss: 0.673, Acc: 0.937, Base Lr: 3.38e-04
2024-05-20 17:32:32 transreid.train INFO: Epoch[31] Iter[220/486] Loss: 0.660, Acc: 0.939, Base Lr: 3.38e-04
2024-05-20 17:32:35 transreid.train INFO: Epoch[31] Iter[240/486] Loss: 0.644, Acc: 0.942, Base Lr: 3.38e-04
2024-05-20 17:32:38 transreid.train INFO: Epoch[31] Iter[260/486] Loss: 0.631, Acc: 0.944, Base Lr: 3.38e-04
2024-05-20 17:32:42 transreid.train INFO: Epoch[31] Iter[280/486] Loss: 0.617, Acc: 0.946, Base Lr: 3.38e-04
2024-05-20 17:32:45 transreid.train INFO: Epoch[31] Iter[300/486] Loss: 0.601, Acc: 0.949, Base Lr: 3.38e-04
2024-05-20 17:32:48 transreid.train INFO: Epoch[31] Iter[320/486] Loss: 0.586, Acc: 0.951, Base Lr: 3.38e-04
2024-05-20 17:32:52 transreid.train INFO: Epoch[31] Iter[340/486] Loss: 0.572, Acc: 0.953, Base Lr: 3.38e-04
2024-05-20 17:32:55 transreid.train INFO: Epoch[31] Iter[360/486] Loss: 0.559, Acc: 0.954, Base Lr: 3.38e-04
2024-05-20 17:32:59 transreid.train INFO: Epoch[31] Iter[380/486] Loss: 0.546, Acc: 0.956, Base Lr: 3.38e-04
2024-05-20 17:33:02 transreid.train INFO: Epoch[31] Iter[400/486] Loss: 0.535, Acc: 0.957, Base Lr: 3.38e-04
2024-05-20 17:33:06 transreid.train INFO: Epoch[31] Iter[420/486] Loss: 0.522, Acc: 0.959, Base Lr: 3.38e-04
2024-05-20 17:33:09 transreid.train INFO: Epoch[31] Iter[440/486] Loss: 0.509, Acc: 0.960, Base Lr: 3.38e-04
2024-05-20 17:33:12 transreid.train INFO: Epoch[31] Iter[460/486] Loss: 0.496, Acc: 0.961, Base Lr: 3.38e-04
2024-05-20 17:33:15 transreid.train INFO: Epoch 31 done. Time per epoch: 82.916[s] Speed: 365.1[samples/s]
2024-05-20 17:33:21 transreid.train INFO: Epoch[32] Iter[20/486] Loss: 0.883, Acc: 0.892, Base Lr: 3.34e-04
2024-05-20 17:33:24 transreid.train INFO: Epoch[32] Iter[40/486] Loss: 0.846, Acc: 0.904, Base Lr: 3.34e-04
2024-05-20 17:33:27 transreid.train INFO: Epoch[32] Iter[60/486] Loss: 0.801, Acc: 0.911, Base Lr: 3.34e-04
2024-05-20 17:33:31 transreid.train INFO: Epoch[32] Iter[80/486] Loss: 0.767, Acc: 0.918, Base Lr: 3.34e-04
2024-05-20 17:33:34 transreid.train INFO: Epoch[32] Iter[100/486] Loss: 0.768, Acc: 0.920, Base Lr: 3.34e-04
2024-05-20 17:33:38 transreid.train INFO: Epoch[32] Iter[120/486] Loss: 0.750, Acc: 0.924, Base Lr: 3.34e-04
2024-05-20 17:33:41 transreid.train INFO: Epoch[32] Iter[140/486] Loss: 0.727, Acc: 0.930, Base Lr: 3.34e-04
2024-05-20 17:33:44 transreid.train INFO: Epoch[32] Iter[160/486] Loss: 0.710, Acc: 0.932, Base Lr: 3.34e-04
2024-05-20 17:33:48 transreid.train INFO: Epoch[32] Iter[180/486] Loss: 0.685, Acc: 0.937, Base Lr: 3.34e-04
2024-05-20 17:33:51 transreid.train INFO: Epoch[32] Iter[200/486] Loss: 0.660, Acc: 0.941, Base Lr: 3.34e-04
2024-05-20 17:33:55 transreid.train INFO: Epoch[32] Iter[220/486] Loss: 0.639, Acc: 0.944, Base Lr: 3.34e-04
2024-05-20 17:33:58 transreid.train INFO: Epoch[32] Iter[240/486] Loss: 0.622, Acc: 0.946, Base Lr: 3.34e-04
2024-05-20 17:34:01 transreid.train INFO: Epoch[32] Iter[260/486] Loss: 0.602, Acc: 0.949, Base Lr: 3.34e-04
2024-05-20 17:34:05 transreid.train INFO: Epoch[32] Iter[280/486] Loss: 0.586, Acc: 0.952, Base Lr: 3.34e-04
2024-05-20 17:34:08 transreid.train INFO: Epoch[32] Iter[300/486] Loss: 0.572, Acc: 0.954, Base Lr: 3.34e-04
2024-05-20 17:34:12 transreid.train INFO: Epoch[32] Iter[320/486] Loss: 0.558, Acc: 0.956, Base Lr: 3.34e-04
2024-05-20 17:34:15 transreid.train INFO: Epoch[32] Iter[340/486] Loss: 0.543, Acc: 0.958, Base Lr: 3.34e-04
2024-05-20 17:34:18 transreid.train INFO: Epoch[32] Iter[360/486] Loss: 0.529, Acc: 0.959, Base Lr: 3.34e-04
2024-05-20 17:34:22 transreid.train INFO: Epoch[32] Iter[380/486] Loss: 0.517, Acc: 0.961, Base Lr: 3.34e-04
2024-05-20 17:34:25 transreid.train INFO: Epoch[32] Iter[400/486] Loss: 0.506, Acc: 0.962, Base Lr: 3.34e-04
2024-05-20 17:34:29 transreid.train INFO: Epoch[32] Iter[420/486] Loss: 0.491, Acc: 0.963, Base Lr: 3.34e-04
2024-05-20 17:34:32 transreid.train INFO: Epoch[32] Iter[440/486] Loss: 0.478, Acc: 0.964, Base Lr: 3.34e-04
2024-05-20 17:34:36 transreid.train INFO: Epoch[32] Iter[460/486] Loss: 0.465, Acc: 0.965, Base Lr: 3.34e-04
2024-05-20 17:34:38 transreid.train INFO: Epoch 32 done. Time per epoch: 83.611[s] Speed: 363.6[samples/s]
2024-05-20 17:34:44 transreid.train INFO: Epoch[33] Iter[20/486] Loss: 0.824, Acc: 0.903, Base Lr: 3.30e-04
2024-05-20 17:34:48 transreid.train INFO: Epoch[33] Iter[40/486] Loss: 0.731, Acc: 0.918, Base Lr: 3.30e-04
2024-05-20 17:34:51 transreid.train INFO: Epoch[33] Iter[60/486] Loss: 0.712, Acc: 0.924, Base Lr: 3.30e-04
2024-05-20 17:34:54 transreid.train INFO: Epoch[33] Iter[80/486] Loss: 0.699, Acc: 0.927, Base Lr: 3.30e-04
2024-05-20 17:34:58 transreid.train INFO: Epoch[33] Iter[100/486] Loss: 0.686, Acc: 0.927, Base Lr: 3.30e-04
2024-05-20 17:35:01 transreid.train INFO: Epoch[33] Iter[120/486] Loss: 0.655, Acc: 0.934, Base Lr: 3.30e-04
2024-05-20 17:35:05 transreid.train INFO: Epoch[33] Iter[140/486] Loss: 0.646, Acc: 0.937, Base Lr: 3.30e-04
2024-05-20 17:35:08 transreid.train INFO: Epoch[33] Iter[160/486] Loss: 0.625, Acc: 0.941, Base Lr: 3.30e-04
2024-05-20 17:35:11 transreid.train INFO: Epoch[33] Iter[180/486] Loss: 0.604, Acc: 0.945, Base Lr: 3.30e-04
2024-05-20 17:35:15 transreid.train INFO: Epoch[33] Iter[200/486] Loss: 0.583, Acc: 0.948, Base Lr: 3.30e-04
2024-05-20 17:35:18 transreid.train INFO: Epoch[33] Iter[220/486] Loss: 0.564, Acc: 0.952, Base Lr: 3.30e-04
2024-05-20 17:35:21 transreid.train INFO: Epoch[33] Iter[240/486] Loss: 0.553, Acc: 0.954, Base Lr: 3.30e-04
2024-05-20 17:35:25 transreid.train INFO: Epoch[33] Iter[260/486] Loss: 0.542, Acc: 0.955, Base Lr: 3.30e-04
2024-05-20 17:35:28 transreid.train INFO: Epoch[33] Iter[280/486] Loss: 0.527, Acc: 0.957, Base Lr: 3.30e-04
2024-05-20 17:35:32 transreid.train INFO: Epoch[33] Iter[300/486] Loss: 0.513, Acc: 0.959, Base Lr: 3.30e-04
2024-05-20 17:35:35 transreid.train INFO: Epoch[33] Iter[320/486] Loss: 0.500, Acc: 0.961, Base Lr: 3.30e-04
2024-05-20 17:35:38 transreid.train INFO: Epoch[33] Iter[340/486] Loss: 0.491, Acc: 0.962, Base Lr: 3.30e-04
2024-05-20 17:35:42 transreid.train INFO: Epoch[33] Iter[360/486] Loss: 0.482, Acc: 0.963, Base Lr: 3.30e-04
2024-05-20 17:35:45 transreid.train INFO: Epoch[33] Iter[380/486] Loss: 0.472, Acc: 0.964, Base Lr: 3.30e-04
2024-05-20 17:35:49 transreid.train INFO: Epoch[33] Iter[400/486] Loss: 0.460, Acc: 0.965, Base Lr: 3.30e-04
2024-05-20 17:35:52 transreid.train INFO: Epoch[33] Iter[420/486] Loss: 0.448, Acc: 0.966, Base Lr: 3.30e-04
2024-05-20 17:35:55 transreid.train INFO: Epoch[33] Iter[440/486] Loss: 0.435, Acc: 0.968, Base Lr: 3.30e-04
2024-05-20 17:35:59 transreid.train INFO: Epoch[33] Iter[460/486] Loss: 0.424, Acc: 0.969, Base Lr: 3.30e-04
2024-05-20 17:36:01 transreid.train INFO: Epoch 33 done. Time per epoch: 83.133[s] Speed: 364.9[samples/s]
2024-05-20 17:36:07 transreid.train INFO: Epoch[34] Iter[20/486] Loss: 0.731, Acc: 0.910, Base Lr: 3.26e-04
2024-05-20 17:36:11 transreid.train INFO: Epoch[34] Iter[40/486] Loss: 0.659, Acc: 0.929, Base Lr: 3.26e-04
2024-05-20 17:36:14 transreid.train INFO: Epoch[34] Iter[60/486] Loss: 0.656, Acc: 0.934, Base Lr: 3.26e-04
2024-05-20 17:36:18 transreid.train INFO: Epoch[34] Iter[80/486] Loss: 0.643, Acc: 0.936, Base Lr: 3.26e-04
2024-05-20 17:36:21 transreid.train INFO: Epoch[34] Iter[100/486] Loss: 0.626, Acc: 0.939, Base Lr: 3.26e-04
2024-05-20 17:36:25 transreid.train INFO: Epoch[34] Iter[120/486] Loss: 0.605, Acc: 0.943, Base Lr: 3.26e-04
2024-05-20 17:36:28 transreid.train INFO: Epoch[34] Iter[140/486] Loss: 0.595, Acc: 0.944, Base Lr: 3.26e-04
2024-05-20 17:36:31 transreid.train INFO: Epoch[34] Iter[160/486] Loss: 0.578, Acc: 0.947, Base Lr: 3.26e-04
2024-05-20 17:36:35 transreid.train INFO: Epoch[34] Iter[180/486] Loss: 0.566, Acc: 0.949, Base Lr: 3.26e-04
2024-05-20 17:36:38 transreid.train INFO: Epoch[34] Iter[200/486] Loss: 0.547, Acc: 0.952, Base Lr: 3.26e-04
2024-05-20 17:36:42 transreid.train INFO: Epoch[34] Iter[220/486] Loss: 0.537, Acc: 0.954, Base Lr: 3.26e-04
2024-05-20 17:36:45 transreid.train INFO: Epoch[34] Iter[240/486] Loss: 0.524, Acc: 0.956, Base Lr: 3.26e-04
2024-05-20 17:36:49 transreid.train INFO: Epoch[34] Iter[260/486] Loss: 0.512, Acc: 0.957, Base Lr: 3.26e-04
2024-05-20 17:36:52 transreid.train INFO: Epoch[34] Iter[280/486] Loss: 0.498, Acc: 0.959, Base Lr: 3.26e-04
2024-05-20 17:36:55 transreid.train INFO: Epoch[34] Iter[300/486] Loss: 0.487, Acc: 0.961, Base Lr: 3.26e-04
2024-05-20 17:36:59 transreid.train INFO: Epoch[34] Iter[320/486] Loss: 0.475, Acc: 0.962, Base Lr: 3.26e-04
2024-05-20 17:37:02 transreid.train INFO: Epoch[34] Iter[340/486] Loss: 0.461, Acc: 0.964, Base Lr: 3.26e-04
2024-05-20 17:37:06 transreid.train INFO: Epoch[34] Iter[360/486] Loss: 0.450, Acc: 0.965, Base Lr: 3.26e-04
2024-05-20 17:37:09 transreid.train INFO: Epoch[34] Iter[380/486] Loss: 0.437, Acc: 0.967, Base Lr: 3.26e-04
2024-05-20 17:37:12 transreid.train INFO: Epoch[34] Iter[400/486] Loss: 0.425, Acc: 0.968, Base Lr: 3.26e-04
2024-05-20 17:37:16 transreid.train INFO: Epoch[34] Iter[420/486] Loss: 0.415, Acc: 0.969, Base Lr: 3.26e-04
2024-05-20 17:37:19 transreid.train INFO: Epoch[34] Iter[440/486] Loss: 0.403, Acc: 0.970, Base Lr: 3.26e-04
2024-05-20 17:37:23 transreid.train INFO: Epoch[34] Iter[460/486] Loss: 0.392, Acc: 0.971, Base Lr: 3.26e-04
2024-05-20 17:37:25 transreid.train INFO: Epoch 34 done. Time per epoch: 83.636[s] Speed: 361.9[samples/s]
2024-05-20 17:37:31 transreid.train INFO: Epoch[35] Iter[20/486] Loss: 0.669, Acc: 0.931, Base Lr: 3.22e-04
2024-05-20 17:37:35 transreid.train INFO: Epoch[35] Iter[40/486] Loss: 0.613, Acc: 0.941, Base Lr: 3.22e-04
2024-05-20 17:37:38 transreid.train INFO: Epoch[35] Iter[60/486] Loss: 0.602, Acc: 0.942, Base Lr: 3.22e-04
2024-05-20 17:37:41 transreid.train INFO: Epoch[35] Iter[80/486] Loss: 0.575, Acc: 0.945, Base Lr: 3.22e-04
2024-05-20 17:37:45 transreid.train INFO: Epoch[35] Iter[100/486] Loss: 0.551, Acc: 0.951, Base Lr: 3.22e-04
2024-05-20 17:37:48 transreid.train INFO: Epoch[35] Iter[120/486] Loss: 0.543, Acc: 0.952, Base Lr: 3.22e-04
2024-05-20 17:37:51 transreid.train INFO: Epoch[35] Iter[140/486] Loss: 0.529, Acc: 0.954, Base Lr: 3.22e-04
2024-05-20 17:37:55 transreid.train INFO: Epoch[35] Iter[160/486] Loss: 0.520, Acc: 0.956, Base Lr: 3.22e-04
2024-05-20 17:37:58 transreid.train INFO: Epoch[35] Iter[180/486] Loss: 0.511, Acc: 0.957, Base Lr: 3.22e-04
2024-05-20 17:38:02 transreid.train INFO: Epoch[35] Iter[200/486] Loss: 0.502, Acc: 0.958, Base Lr: 3.22e-04
2024-05-20 17:38:05 transreid.train INFO: Epoch[35] Iter[220/486] Loss: 0.489, Acc: 0.960, Base Lr: 3.22e-04
2024-05-20 17:38:08 transreid.train INFO: Epoch[35] Iter[240/486] Loss: 0.481, Acc: 0.961, Base Lr: 3.22e-04
2024-05-20 17:38:12 transreid.train INFO: Epoch[35] Iter[260/486] Loss: 0.469, Acc: 0.963, Base Lr: 3.22e-04
2024-05-20 17:38:15 transreid.train INFO: Epoch[35] Iter[280/486] Loss: 0.457, Acc: 0.964, Base Lr: 3.22e-04
2024-05-20 17:38:18 transreid.train INFO: Epoch[35] Iter[300/486] Loss: 0.446, Acc: 0.966, Base Lr: 3.22e-04
2024-05-20 17:38:22 transreid.train INFO: Epoch[35] Iter[320/486] Loss: 0.435, Acc: 0.967, Base Lr: 3.22e-04
2024-05-20 17:38:25 transreid.train INFO: Epoch[35] Iter[340/486] Loss: 0.424, Acc: 0.968, Base Lr: 3.22e-04
2024-05-20 17:38:29 transreid.train INFO: Epoch[35] Iter[360/486] Loss: 0.416, Acc: 0.969, Base Lr: 3.22e-04
2024-05-20 17:38:32 transreid.train INFO: Epoch[35] Iter[380/486] Loss: 0.405, Acc: 0.970, Base Lr: 3.22e-04
2024-05-20 17:38:36 transreid.train INFO: Epoch[35] Iter[400/486] Loss: 0.396, Acc: 0.971, Base Lr: 3.22e-04
2024-05-20 17:38:39 transreid.train INFO: Epoch[35] Iter[420/486] Loss: 0.385, Acc: 0.972, Base Lr: 3.22e-04
2024-05-20 17:38:42 transreid.train INFO: Epoch[35] Iter[440/486] Loss: 0.376, Acc: 0.973, Base Lr: 3.22e-04
2024-05-20 17:38:46 transreid.train INFO: Epoch[35] Iter[460/486] Loss: 0.367, Acc: 0.974, Base Lr: 3.22e-04
2024-05-20 17:38:49 transreid.train INFO: Epoch 35 done. Time per epoch: 83.388[s] Speed: 364.6[samples/s]
2024-05-20 17:38:54 transreid.train INFO: Epoch[36] Iter[20/486] Loss: 0.589, Acc: 0.944, Base Lr: 3.18e-04
2024-05-20 17:38:58 transreid.train INFO: Epoch[36] Iter[40/486] Loss: 0.591, Acc: 0.943, Base Lr: 3.18e-04
2024-05-20 17:39:01 transreid.train INFO: Epoch[36] Iter[60/486] Loss: 0.592, Acc: 0.938, Base Lr: 3.18e-04
2024-05-20 17:39:04 transreid.train INFO: Epoch[36] Iter[80/486] Loss: 0.560, Acc: 0.946, Base Lr: 3.18e-04
2024-05-20 17:39:08 transreid.train INFO: Epoch[36] Iter[100/486] Loss: 0.537, Acc: 0.950, Base Lr: 3.18e-04
2024-05-20 17:39:11 transreid.train INFO: Epoch[36] Iter[120/486] Loss: 0.518, Acc: 0.954, Base Lr: 3.18e-04
2024-05-20 17:39:15 transreid.train INFO: Epoch[36] Iter[140/486] Loss: 0.506, Acc: 0.957, Base Lr: 3.18e-04
2024-05-20 17:39:18 transreid.train INFO: Epoch[36] Iter[160/486] Loss: 0.496, Acc: 0.959, Base Lr: 3.18e-04
2024-05-20 17:39:21 transreid.train INFO: Epoch[36] Iter[180/486] Loss: 0.482, Acc: 0.961, Base Lr: 3.18e-04
2024-05-20 17:39:25 transreid.train INFO: Epoch[36] Iter[200/486] Loss: 0.467, Acc: 0.963, Base Lr: 3.18e-04
2024-05-20 17:39:28 transreid.train INFO: Epoch[36] Iter[220/486] Loss: 0.452, Acc: 0.966, Base Lr: 3.18e-04
2024-05-20 17:39:31 transreid.train INFO: Epoch[36] Iter[240/486] Loss: 0.439, Acc: 0.967, Base Lr: 3.18e-04
2024-05-20 17:39:35 transreid.train INFO: Epoch[36] Iter[260/486] Loss: 0.428, Acc: 0.969, Base Lr: 3.18e-04
2024-05-20 17:39:38 transreid.train INFO: Epoch[36] Iter[280/486] Loss: 0.418, Acc: 0.970, Base Lr: 3.18e-04
2024-05-20 17:39:42 transreid.train INFO: Epoch[36] Iter[300/486] Loss: 0.410, Acc: 0.971, Base Lr: 3.18e-04
2024-05-20 17:39:45 transreid.train INFO: Epoch[36] Iter[320/486] Loss: 0.400, Acc: 0.972, Base Lr: 3.18e-04
2024-05-20 17:39:48 transreid.train INFO: Epoch[36] Iter[340/486] Loss: 0.391, Acc: 0.974, Base Lr: 3.18e-04
2024-05-20 17:39:52 transreid.train INFO: Epoch[36] Iter[360/486] Loss: 0.382, Acc: 0.975, Base Lr: 3.18e-04
2024-05-20 17:39:55 transreid.train INFO: Epoch[36] Iter[380/486] Loss: 0.373, Acc: 0.975, Base Lr: 3.18e-04
2024-05-20 17:39:59 transreid.train INFO: Epoch[36] Iter[400/486] Loss: 0.365, Acc: 0.976, Base Lr: 3.18e-04
2024-05-20 17:40:02 transreid.train INFO: Epoch[36] Iter[420/486] Loss: 0.356, Acc: 0.976, Base Lr: 3.18e-04
2024-05-20 17:40:05 transreid.train INFO: Epoch[36] Iter[440/486] Loss: 0.347, Acc: 0.977, Base Lr: 3.18e-04
2024-05-20 17:40:09 transreid.train INFO: Epoch[36] Iter[460/486] Loss: 0.337, Acc: 0.978, Base Lr: 3.18e-04
2024-05-20 17:40:11 transreid.train INFO: Epoch 36 done. Time per epoch: 82.494[s] Speed: 366.2[samples/s]
2024-05-20 17:40:17 transreid.train INFO: Epoch[37] Iter[20/486] Loss: 0.537, Acc: 0.948, Base Lr: 3.13e-04
2024-05-20 17:40:20 transreid.train INFO: Epoch[37] Iter[40/486] Loss: 0.526, Acc: 0.954, Base Lr: 3.13e-04
2024-05-20 17:40:23 transreid.train INFO: Epoch[37] Iter[60/486] Loss: 0.519, Acc: 0.958, Base Lr: 3.13e-04
2024-05-20 17:40:27 transreid.train INFO: Epoch[37] Iter[80/486] Loss: 0.498, Acc: 0.959, Base Lr: 3.13e-04
2024-05-20 17:40:30 transreid.train INFO: Epoch[37] Iter[100/486] Loss: 0.490, Acc: 0.960, Base Lr: 3.13e-04
2024-05-20 17:40:34 transreid.train INFO: Epoch[37] Iter[120/486] Loss: 0.476, Acc: 0.962, Base Lr: 3.13e-04
2024-05-20 17:40:37 transreid.train INFO: Epoch[37] Iter[140/486] Loss: 0.464, Acc: 0.963, Base Lr: 3.13e-04
2024-05-20 17:40:40 transreid.train INFO: Epoch[37] Iter[160/486] Loss: 0.447, Acc: 0.965, Base Lr: 3.13e-04
2024-05-20 17:40:44 transreid.train INFO: Epoch[37] Iter[180/486] Loss: 0.434, Acc: 0.968, Base Lr: 3.13e-04
2024-05-20 17:40:47 transreid.train INFO: Epoch[37] Iter[200/486] Loss: 0.423, Acc: 0.969, Base Lr: 3.13e-04
2024-05-20 17:40:50 transreid.train INFO: Epoch[37] Iter[220/486] Loss: 0.417, Acc: 0.970, Base Lr: 3.13e-04
2024-05-20 17:40:54 transreid.train INFO: Epoch[37] Iter[240/486] Loss: 0.410, Acc: 0.971, Base Lr: 3.13e-04
2024-05-20 17:40:57 transreid.train INFO: Epoch[37] Iter[260/486] Loss: 0.403, Acc: 0.971, Base Lr: 3.13e-04
2024-05-20 17:41:01 transreid.train INFO: Epoch[37] Iter[280/486] Loss: 0.395, Acc: 0.972, Base Lr: 3.13e-04
2024-05-20 17:41:04 transreid.train INFO: Epoch[37] Iter[300/486] Loss: 0.388, Acc: 0.973, Base Lr: 3.13e-04
2024-05-20 17:41:07 transreid.train INFO: Epoch[37] Iter[320/486] Loss: 0.376, Acc: 0.975, Base Lr: 3.13e-04
2024-05-20 17:41:11 transreid.train INFO: Epoch[37] Iter[340/486] Loss: 0.367, Acc: 0.975, Base Lr: 3.13e-04
2024-05-20 17:41:14 transreid.train INFO: Epoch[37] Iter[360/486] Loss: 0.359, Acc: 0.976, Base Lr: 3.13e-04
2024-05-20 17:41:18 transreid.train INFO: Epoch[37] Iter[380/486] Loss: 0.349, Acc: 0.977, Base Lr: 3.13e-04
2024-05-20 17:41:21 transreid.train INFO: Epoch[37] Iter[400/486] Loss: 0.340, Acc: 0.978, Base Lr: 3.13e-04
2024-05-20 17:41:24 transreid.train INFO: Epoch[37] Iter[420/486] Loss: 0.330, Acc: 0.979, Base Lr: 3.13e-04
2024-05-20 17:41:28 transreid.train INFO: Epoch[37] Iter[440/486] Loss: 0.322, Acc: 0.979, Base Lr: 3.13e-04
2024-05-20 17:41:31 transreid.train INFO: Epoch[37] Iter[460/486] Loss: 0.315, Acc: 0.979, Base Lr: 3.13e-04
2024-05-20 17:41:34 transreid.train INFO: Epoch 37 done. Time per epoch: 82.822[s] Speed: 366.3[samples/s]
2024-05-20 17:41:40 transreid.train INFO: Epoch[38] Iter[20/486] Loss: 0.597, Acc: 0.941, Base Lr: 3.09e-04
2024-05-20 17:41:43 transreid.train INFO: Epoch[38] Iter[40/486] Loss: 0.560, Acc: 0.947, Base Lr: 3.09e-04
2024-05-20 17:41:46 transreid.train INFO: Epoch[38] Iter[60/486] Loss: 0.519, Acc: 0.955, Base Lr: 3.09e-04
2024-05-20 17:41:50 transreid.train INFO: Epoch[38] Iter[80/486] Loss: 0.494, Acc: 0.958, Base Lr: 3.09e-04
2024-05-20 17:41:53 transreid.train INFO: Epoch[38] Iter[100/486] Loss: 0.480, Acc: 0.960, Base Lr: 3.09e-04
2024-05-20 17:41:57 transreid.train INFO: Epoch[38] Iter[120/486] Loss: 0.465, Acc: 0.962, Base Lr: 3.09e-04
2024-05-20 17:42:00 transreid.train INFO: Epoch[38] Iter[140/486] Loss: 0.449, Acc: 0.965, Base Lr: 3.09e-04
2024-05-20 17:42:03 transreid.train INFO: Epoch[38] Iter[160/486] Loss: 0.434, Acc: 0.967, Base Lr: 3.09e-04
2024-05-20 17:42:07 transreid.train INFO: Epoch[38] Iter[180/486] Loss: 0.419, Acc: 0.969, Base Lr: 3.09e-04
2024-05-20 17:42:10 transreid.train INFO: Epoch[38] Iter[200/486] Loss: 0.409, Acc: 0.970, Base Lr: 3.09e-04
2024-05-20 17:42:13 transreid.train INFO: Epoch[38] Iter[220/486] Loss: 0.399, Acc: 0.971, Base Lr: 3.09e-04
2024-05-20 17:42:17 transreid.train INFO: Epoch[38] Iter[240/486] Loss: 0.389, Acc: 0.973, Base Lr: 3.09e-04
2024-05-20 17:42:20 transreid.train INFO: Epoch[38] Iter[260/486] Loss: 0.377, Acc: 0.974, Base Lr: 3.09e-04
2024-05-20 17:42:24 transreid.train INFO: Epoch[38] Iter[280/486] Loss: 0.371, Acc: 0.975, Base Lr: 3.09e-04
2024-05-20 17:42:27 transreid.train INFO: Epoch[38] Iter[300/486] Loss: 0.363, Acc: 0.976, Base Lr: 3.09e-04
2024-05-20 17:42:30 transreid.train INFO: Epoch[38] Iter[320/486] Loss: 0.355, Acc: 0.977, Base Lr: 3.09e-04
2024-05-20 17:42:34 transreid.train INFO: Epoch[38] Iter[340/486] Loss: 0.346, Acc: 0.978, Base Lr: 3.09e-04
2024-05-20 17:42:37 transreid.train INFO: Epoch[38] Iter[360/486] Loss: 0.339, Acc: 0.979, Base Lr: 3.09e-04
2024-05-20 17:42:40 transreid.train INFO: Epoch[38] Iter[380/486] Loss: 0.332, Acc: 0.979, Base Lr: 3.09e-04
2024-05-20 17:42:44 transreid.train INFO: Epoch[38] Iter[400/486] Loss: 0.325, Acc: 0.980, Base Lr: 3.09e-04
2024-05-20 17:42:47 transreid.train INFO: Epoch[38] Iter[420/486] Loss: 0.317, Acc: 0.980, Base Lr: 3.09e-04
2024-05-20 17:42:50 transreid.train INFO: Epoch[38] Iter[440/486] Loss: 0.311, Acc: 0.980, Base Lr: 3.09e-04
2024-05-20 17:42:54 transreid.train INFO: Epoch[38] Iter[460/486] Loss: 0.304, Acc: 0.981, Base Lr: 3.09e-04
2024-05-20 17:42:56 transreid.train INFO: Epoch 38 done. Time per epoch: 82.606[s] Speed: 367.2[samples/s]
2024-05-20 17:43:02 transreid.train INFO: Epoch[39] Iter[20/486] Loss: 0.576, Acc: 0.941, Base Lr: 3.05e-04
2024-05-20 17:43:06 transreid.train INFO: Epoch[39] Iter[40/486] Loss: 0.501, Acc: 0.956, Base Lr: 3.05e-04
2024-05-20 17:43:09 transreid.train INFO: Epoch[39] Iter[60/486] Loss: 0.466, Acc: 0.962, Base Lr: 3.05e-04
2024-05-20 17:43:13 transreid.train INFO: Epoch[39] Iter[80/486] Loss: 0.442, Acc: 0.966, Base Lr: 3.05e-04
2024-05-20 17:43:16 transreid.train INFO: Epoch[39] Iter[100/486] Loss: 0.423, Acc: 0.968, Base Lr: 3.05e-04
2024-05-20 17:43:19 transreid.train INFO: Epoch[39] Iter[120/486] Loss: 0.406, Acc: 0.970, Base Lr: 3.05e-04
2024-05-20 17:43:23 transreid.train INFO: Epoch[39] Iter[140/486] Loss: 0.401, Acc: 0.969, Base Lr: 3.05e-04
2024-05-20 17:43:26 transreid.train INFO: Epoch[39] Iter[160/486] Loss: 0.396, Acc: 0.970, Base Lr: 3.05e-04
2024-05-20 17:43:29 transreid.train INFO: Epoch[39] Iter[180/486] Loss: 0.383, Acc: 0.972, Base Lr: 3.05e-04
2024-05-20 17:43:33 transreid.train INFO: Epoch[39] Iter[200/486] Loss: 0.373, Acc: 0.974, Base Lr: 3.05e-04
2024-05-20 17:43:36 transreid.train INFO: Epoch[39] Iter[220/486] Loss: 0.363, Acc: 0.975, Base Lr: 3.05e-04
2024-05-20 17:43:40 transreid.train INFO: Epoch[39] Iter[240/486] Loss: 0.353, Acc: 0.976, Base Lr: 3.05e-04
2024-05-20 17:43:43 transreid.train INFO: Epoch[39] Iter[260/486] Loss: 0.347, Acc: 0.977, Base Lr: 3.05e-04
2024-05-20 17:43:47 transreid.train INFO: Epoch[39] Iter[280/486] Loss: 0.344, Acc: 0.977, Base Lr: 3.05e-04
2024-05-20 17:43:50 transreid.train INFO: Epoch[39] Iter[300/486] Loss: 0.336, Acc: 0.978, Base Lr: 3.05e-04
2024-05-20 17:43:53 transreid.train INFO: Epoch[39] Iter[320/486] Loss: 0.328, Acc: 0.978, Base Lr: 3.05e-04
2024-05-20 17:43:57 transreid.train INFO: Epoch[39] Iter[340/486] Loss: 0.322, Acc: 0.979, Base Lr: 3.05e-04
2024-05-20 17:44:00 transreid.train INFO: Epoch[39] Iter[360/486] Loss: 0.314, Acc: 0.980, Base Lr: 3.05e-04
2024-05-20 17:44:04 transreid.train INFO: Epoch[39] Iter[380/486] Loss: 0.306, Acc: 0.981, Base Lr: 3.05e-04
2024-05-20 17:44:07 transreid.train INFO: Epoch[39] Iter[400/486] Loss: 0.300, Acc: 0.981, Base Lr: 3.05e-04
2024-05-20 17:44:10 transreid.train INFO: Epoch[39] Iter[420/486] Loss: 0.292, Acc: 0.982, Base Lr: 3.05e-04
2024-05-20 17:44:14 transreid.train INFO: Epoch[39] Iter[440/486] Loss: 0.284, Acc: 0.982, Base Lr: 3.05e-04
2024-05-20 17:44:17 transreid.train INFO: Epoch[39] Iter[460/486] Loss: 0.276, Acc: 0.983, Base Lr: 3.05e-04
2024-05-20 17:44:20 transreid.train INFO: Epoch 39 done. Time per epoch: 83.327[s] Speed: 364.1[samples/s]
2024-05-20 17:44:26 transreid.train INFO: Epoch[40] Iter[20/486] Loss: 0.459, Acc: 0.955, Base Lr: 3.00e-04
2024-05-20 17:44:29 transreid.train INFO: Epoch[40] Iter[40/486] Loss: 0.423, Acc: 0.963, Base Lr: 3.00e-04
2024-05-20 17:44:32 transreid.train INFO: Epoch[40] Iter[60/486] Loss: 0.411, Acc: 0.964, Base Lr: 3.00e-04
2024-05-20 17:44:36 transreid.train INFO: Epoch[40] Iter[80/486] Loss: 0.406, Acc: 0.966, Base Lr: 3.00e-04
2024-05-20 17:44:39 transreid.train INFO: Epoch[40] Iter[100/486] Loss: 0.399, Acc: 0.967, Base Lr: 3.00e-04
2024-05-20 17:44:43 transreid.train INFO: Epoch[40] Iter[120/486] Loss: 0.384, Acc: 0.969, Base Lr: 3.00e-04
2024-05-20 17:44:46 transreid.train INFO: Epoch[40] Iter[140/486] Loss: 0.377, Acc: 0.971, Base Lr: 3.00e-04
2024-05-20 17:44:49 transreid.train INFO: Epoch[40] Iter[160/486] Loss: 0.368, Acc: 0.972, Base Lr: 3.00e-04
2024-05-20 17:44:53 transreid.train INFO: Epoch[40] Iter[180/486] Loss: 0.364, Acc: 0.973, Base Lr: 3.00e-04
2024-05-20 17:44:56 transreid.train INFO: Epoch[40] Iter[200/486] Loss: 0.355, Acc: 0.975, Base Lr: 3.00e-04
2024-05-20 17:44:59 transreid.train INFO: Epoch[40] Iter[220/486] Loss: 0.344, Acc: 0.976, Base Lr: 3.00e-04
2024-05-20 17:45:03 transreid.train INFO: Epoch[40] Iter[240/486] Loss: 0.337, Acc: 0.977, Base Lr: 3.00e-04
2024-05-20 17:45:06 transreid.train INFO: Epoch[40] Iter[260/486] Loss: 0.331, Acc: 0.978, Base Lr: 3.00e-04
2024-05-20 17:45:10 transreid.train INFO: Epoch[40] Iter[280/486] Loss: 0.326, Acc: 0.979, Base Lr: 3.00e-04
2024-05-20 17:45:13 transreid.train INFO: Epoch[40] Iter[300/486] Loss: 0.319, Acc: 0.979, Base Lr: 3.00e-04
2024-05-20 17:45:16 transreid.train INFO: Epoch[40] Iter[320/486] Loss: 0.313, Acc: 0.979, Base Lr: 3.00e-04
2024-05-20 17:45:20 transreid.train INFO: Epoch[40] Iter[340/486] Loss: 0.306, Acc: 0.980, Base Lr: 3.00e-04
2024-05-20 17:45:23 transreid.train INFO: Epoch[40] Iter[360/486] Loss: 0.299, Acc: 0.981, Base Lr: 3.00e-04
2024-05-20 17:45:27 transreid.train INFO: Epoch[40] Iter[380/486] Loss: 0.292, Acc: 0.981, Base Lr: 3.00e-04
2024-05-20 17:45:30 transreid.train INFO: Epoch[40] Iter[400/486] Loss: 0.284, Acc: 0.982, Base Lr: 3.00e-04
2024-05-20 17:45:33 transreid.train INFO: Epoch[40] Iter[420/486] Loss: 0.278, Acc: 0.982, Base Lr: 3.00e-04
2024-05-20 17:45:37 transreid.train INFO: Epoch[40] Iter[440/486] Loss: 0.271, Acc: 0.983, Base Lr: 3.00e-04
2024-05-20 17:45:40 transreid.train INFO: Epoch[40] Iter[460/486] Loss: 0.264, Acc: 0.983, Base Lr: 3.00e-04
2024-05-20 17:45:43 transreid.train INFO: Epoch 40 done. Time per epoch: 83.074[s] Speed: 365.9[samples/s]
2024-05-20 17:49:07 transreid.train INFO: Validation Results - Epoch: 40
2024-05-20 17:49:07 transreid.train INFO: mAP: 65.1%
2024-05-20 17:49:07 transreid.train INFO: CMC curve, Rank-1  :85.2%
2024-05-20 17:49:07 transreid.train INFO: CMC curve, Rank-5  :92.0%
2024-05-20 17:49:07 transreid.train INFO: CMC curve, Rank-10 :94.0%
2024-05-20 17:49:13 transreid.train INFO: Epoch[41] Iter[20/486] Loss: 0.396, Acc: 0.970, Base Lr: 2.96e-04
2024-05-20 17:49:17 transreid.train INFO: Epoch[41] Iter[40/486] Loss: 0.405, Acc: 0.970, Base Lr: 2.96e-04
2024-05-20 17:49:20 transreid.train INFO: Epoch[41] Iter[60/486] Loss: 0.386, Acc: 0.973, Base Lr: 2.96e-04
2024-05-20 17:49:23 transreid.train INFO: Epoch[41] Iter[80/486] Loss: 0.385, Acc: 0.973, Base Lr: 2.96e-04
2024-05-20 17:49:27 transreid.train INFO: Epoch[41] Iter[100/486] Loss: 0.377, Acc: 0.974, Base Lr: 2.96e-04
2024-05-20 17:49:30 transreid.train INFO: Epoch[41] Iter[120/486] Loss: 0.372, Acc: 0.975, Base Lr: 2.96e-04
2024-05-20 17:49:33 transreid.train INFO: Epoch[41] Iter[140/486] Loss: 0.371, Acc: 0.975, Base Lr: 2.96e-04
2024-05-20 17:49:37 transreid.train INFO: Epoch[41] Iter[160/486] Loss: 0.356, Acc: 0.977, Base Lr: 2.96e-04
2024-05-20 17:49:40 transreid.train INFO: Epoch[41] Iter[180/486] Loss: 0.349, Acc: 0.978, Base Lr: 2.96e-04
2024-05-20 17:49:44 transreid.train INFO: Epoch[41] Iter[200/486] Loss: 0.341, Acc: 0.979, Base Lr: 2.96e-04
2024-05-20 17:49:47 transreid.train INFO: Epoch[41] Iter[220/486] Loss: 0.332, Acc: 0.980, Base Lr: 2.96e-04
2024-05-20 17:49:50 transreid.train INFO: Epoch[41] Iter[240/486] Loss: 0.322, Acc: 0.981, Base Lr: 2.96e-04
2024-05-20 17:49:54 transreid.train INFO: Epoch[41] Iter[260/486] Loss: 0.315, Acc: 0.982, Base Lr: 2.96e-04
2024-05-20 17:49:57 transreid.train INFO: Epoch[41] Iter[280/486] Loss: 0.307, Acc: 0.982, Base Lr: 2.96e-04
2024-05-20 17:50:00 transreid.train INFO: Epoch[41] Iter[300/486] Loss: 0.300, Acc: 0.983, Base Lr: 2.96e-04
2024-05-20 17:50:04 transreid.train INFO: Epoch[41] Iter[320/486] Loss: 0.294, Acc: 0.983, Base Lr: 2.96e-04
2024-05-20 17:50:07 transreid.train INFO: Epoch[41] Iter[340/486] Loss: 0.287, Acc: 0.984, Base Lr: 2.96e-04
2024-05-20 17:50:11 transreid.train INFO: Epoch[41] Iter[360/486] Loss: 0.282, Acc: 0.984, Base Lr: 2.96e-04
2024-05-20 17:50:14 transreid.train INFO: Epoch[41] Iter[380/486] Loss: 0.276, Acc: 0.985, Base Lr: 2.96e-04
2024-05-20 17:50:17 transreid.train INFO: Epoch[41] Iter[400/486] Loss: 0.269, Acc: 0.985, Base Lr: 2.96e-04
2024-05-20 17:50:21 transreid.train INFO: Epoch[41] Iter[420/486] Loss: 0.264, Acc: 0.985, Base Lr: 2.96e-04
2024-05-20 17:50:24 transreid.train INFO: Epoch[41] Iter[440/486] Loss: 0.258, Acc: 0.986, Base Lr: 2.96e-04
2024-05-20 17:50:27 transreid.train INFO: Epoch[41] Iter[460/486] Loss: 0.252, Acc: 0.986, Base Lr: 2.96e-04
2024-05-20 17:50:30 transreid.train INFO: Epoch 41 done. Time per epoch: 83.527[s] Speed: 364.0[samples/s]
2024-05-20 17:50:37 transreid.train INFO: Epoch[42] Iter[20/486] Loss: 0.377, Acc: 0.976, Base Lr: 2.91e-04
2024-05-20 17:50:40 transreid.train INFO: Epoch[42] Iter[40/486] Loss: 0.394, Acc: 0.971, Base Lr: 2.91e-04
2024-05-20 17:50:43 transreid.train INFO: Epoch[42] Iter[60/486] Loss: 0.379, Acc: 0.973, Base Lr: 2.91e-04
2024-05-20 17:50:47 transreid.train INFO: Epoch[42] Iter[80/486] Loss: 0.380, Acc: 0.972, Base Lr: 2.91e-04
2024-05-20 17:50:50 transreid.train INFO: Epoch[42] Iter[100/486] Loss: 0.376, Acc: 0.973, Base Lr: 2.91e-04
2024-05-20 17:50:54 transreid.train INFO: Epoch[42] Iter[120/486] Loss: 0.364, Acc: 0.975, Base Lr: 2.91e-04
2024-05-20 17:50:57 transreid.train INFO: Epoch[42] Iter[140/486] Loss: 0.352, Acc: 0.976, Base Lr: 2.91e-04
2024-05-20 17:51:00 transreid.train INFO: Epoch[42] Iter[160/486] Loss: 0.343, Acc: 0.976, Base Lr: 2.91e-04
2024-05-20 17:51:04 transreid.train INFO: Epoch[42] Iter[180/486] Loss: 0.330, Acc: 0.978, Base Lr: 2.91e-04
2024-05-20 17:51:07 transreid.train INFO: Epoch[42] Iter[200/486] Loss: 0.318, Acc: 0.979, Base Lr: 2.91e-04
2024-05-20 17:51:11 transreid.train INFO: Epoch[42] Iter[220/486] Loss: 0.313, Acc: 0.980, Base Lr: 2.91e-04
2024-05-20 17:51:14 transreid.train INFO: Epoch[42] Iter[240/486] Loss: 0.305, Acc: 0.981, Base Lr: 2.91e-04
2024-05-20 17:51:17 transreid.train INFO: Epoch[42] Iter[260/486] Loss: 0.301, Acc: 0.981, Base Lr: 2.91e-04
2024-05-20 17:51:21 transreid.train INFO: Epoch[42] Iter[280/486] Loss: 0.294, Acc: 0.982, Base Lr: 2.91e-04
2024-05-20 17:51:24 transreid.train INFO: Epoch[42] Iter[300/486] Loss: 0.286, Acc: 0.983, Base Lr: 2.91e-04
2024-05-20 17:51:28 transreid.train INFO: Epoch[42] Iter[320/486] Loss: 0.280, Acc: 0.983, Base Lr: 2.91e-04
2024-05-20 17:51:31 transreid.train INFO: Epoch[42] Iter[340/486] Loss: 0.272, Acc: 0.984, Base Lr: 2.91e-04
2024-05-20 17:51:35 transreid.train INFO: Epoch[42] Iter[360/486] Loss: 0.265, Acc: 0.984, Base Lr: 2.91e-04
2024-05-20 17:51:38 transreid.train INFO: Epoch[42] Iter[380/486] Loss: 0.259, Acc: 0.985, Base Lr: 2.91e-04
2024-05-20 17:51:41 transreid.train INFO: Epoch[42] Iter[400/486] Loss: 0.253, Acc: 0.985, Base Lr: 2.91e-04
2024-05-20 17:51:45 transreid.train INFO: Epoch[42] Iter[420/486] Loss: 0.248, Acc: 0.985, Base Lr: 2.91e-04
2024-05-20 17:51:48 transreid.train INFO: Epoch[42] Iter[440/486] Loss: 0.243, Acc: 0.986, Base Lr: 2.91e-04
2024-05-20 17:51:52 transreid.train INFO: Epoch[42] Iter[460/486] Loss: 0.237, Acc: 0.986, Base Lr: 2.91e-04
2024-05-20 17:51:55 transreid.train INFO: Epoch 42 done. Time per epoch: 84.191[s] Speed: 360.3[samples/s]
2024-05-20 17:52:01 transreid.train INFO: Epoch[43] Iter[20/486] Loss: 0.364, Acc: 0.982, Base Lr: 2.86e-04
2024-05-20 17:52:05 transreid.train INFO: Epoch[43] Iter[40/486] Loss: 0.384, Acc: 0.974, Base Lr: 2.86e-04
2024-05-20 17:52:08 transreid.train INFO: Epoch[43] Iter[60/486] Loss: 0.354, Acc: 0.979, Base Lr: 2.86e-04
2024-05-20 17:52:11 transreid.train INFO: Epoch[43] Iter[80/486] Loss: 0.344, Acc: 0.979, Base Lr: 2.86e-04
2024-05-20 17:52:15 transreid.train INFO: Epoch[43] Iter[100/486] Loss: 0.336, Acc: 0.979, Base Lr: 2.86e-04
2024-05-20 17:52:18 transreid.train INFO: Epoch[43] Iter[120/486] Loss: 0.330, Acc: 0.980, Base Lr: 2.86e-04
2024-05-20 17:52:22 transreid.train INFO: Epoch[43] Iter[140/486] Loss: 0.316, Acc: 0.981, Base Lr: 2.86e-04
2024-05-20 17:52:25 transreid.train INFO: Epoch[43] Iter[160/486] Loss: 0.306, Acc: 0.982, Base Lr: 2.86e-04
2024-05-20 17:52:28 transreid.train INFO: Epoch[43] Iter[180/486] Loss: 0.296, Acc: 0.982, Base Lr: 2.86e-04
2024-05-20 17:52:32 transreid.train INFO: Epoch[43] Iter[200/486] Loss: 0.289, Acc: 0.983, Base Lr: 2.86e-04
2024-05-20 17:52:35 transreid.train INFO: Epoch[43] Iter[220/486] Loss: 0.286, Acc: 0.983, Base Lr: 2.86e-04
2024-05-20 17:52:39 transreid.train INFO: Epoch[43] Iter[240/486] Loss: 0.281, Acc: 0.984, Base Lr: 2.86e-04
2024-05-20 17:52:42 transreid.train INFO: Epoch[43] Iter[260/486] Loss: 0.275, Acc: 0.985, Base Lr: 2.86e-04
2024-05-20 17:52:46 transreid.train INFO: Epoch[43] Iter[280/486] Loss: 0.270, Acc: 0.985, Base Lr: 2.86e-04
2024-05-20 17:52:49 transreid.train INFO: Epoch[43] Iter[300/486] Loss: 0.265, Acc: 0.985, Base Lr: 2.86e-04
2024-05-20 17:52:53 transreid.train INFO: Epoch[43] Iter[320/486] Loss: 0.262, Acc: 0.985, Base Lr: 2.86e-04
2024-05-20 17:52:56 transreid.train INFO: Epoch[43] Iter[340/486] Loss: 0.259, Acc: 0.986, Base Lr: 2.86e-04
2024-05-20 17:52:59 transreid.train INFO: Epoch[43] Iter[360/486] Loss: 0.252, Acc: 0.986, Base Lr: 2.86e-04
2024-05-20 17:53:03 transreid.train INFO: Epoch[43] Iter[380/486] Loss: 0.248, Acc: 0.986, Base Lr: 2.86e-04
2024-05-20 17:53:06 transreid.train INFO: Epoch[43] Iter[400/486] Loss: 0.243, Acc: 0.987, Base Lr: 2.86e-04
2024-05-20 17:53:10 transreid.train INFO: Epoch[43] Iter[420/486] Loss: 0.238, Acc: 0.987, Base Lr: 2.86e-04
2024-05-20 17:53:13 transreid.train INFO: Epoch[43] Iter[440/486] Loss: 0.234, Acc: 0.987, Base Lr: 2.86e-04
2024-05-20 17:53:16 transreid.train INFO: Epoch[43] Iter[460/486] Loss: 0.227, Acc: 0.987, Base Lr: 2.86e-04
2024-05-20 17:53:19 transreid.train INFO: Epoch 43 done. Time per epoch: 84.752[s] Speed: 357.9[samples/s]
2024-05-20 17:53:26 transreid.train INFO: Epoch[44] Iter[20/486] Loss: 0.344, Acc: 0.970, Base Lr: 2.82e-04
2024-05-20 17:53:29 transreid.train INFO: Epoch[44] Iter[40/486] Loss: 0.345, Acc: 0.972, Base Lr: 2.82e-04
2024-05-20 17:53:33 transreid.train INFO: Epoch[44] Iter[60/486] Loss: 0.327, Acc: 0.975, Base Lr: 2.82e-04
2024-05-20 17:53:36 transreid.train INFO: Epoch[44] Iter[80/486] Loss: 0.310, Acc: 0.979, Base Lr: 2.82e-04
2024-05-20 17:53:40 transreid.train INFO: Epoch[44] Iter[100/486] Loss: 0.308, Acc: 0.979, Base Lr: 2.82e-04
2024-05-20 17:53:43 transreid.train INFO: Epoch[44] Iter[120/486] Loss: 0.308, Acc: 0.980, Base Lr: 2.82e-04
2024-05-20 17:53:46 transreid.train INFO: Epoch[44] Iter[140/486] Loss: 0.299, Acc: 0.981, Base Lr: 2.82e-04
2024-05-20 17:53:50 transreid.train INFO: Epoch[44] Iter[160/486] Loss: 0.293, Acc: 0.982, Base Lr: 2.82e-04
2024-05-20 17:53:53 transreid.train INFO: Epoch[44] Iter[180/486] Loss: 0.287, Acc: 0.983, Base Lr: 2.82e-04
2024-05-20 17:53:57 transreid.train INFO: Epoch[44] Iter[200/486] Loss: 0.284, Acc: 0.983, Base Lr: 2.82e-04
2024-05-20 17:54:00 transreid.train INFO: Epoch[44] Iter[220/486] Loss: 0.278, Acc: 0.984, Base Lr: 2.82e-04
2024-05-20 17:54:04 transreid.train INFO: Epoch[44] Iter[240/486] Loss: 0.271, Acc: 0.984, Base Lr: 2.82e-04
2024-05-20 17:54:07 transreid.train INFO: Epoch[44] Iter[260/486] Loss: 0.266, Acc: 0.985, Base Lr: 2.82e-04
2024-05-20 17:54:11 transreid.train INFO: Epoch[44] Iter[280/486] Loss: 0.261, Acc: 0.985, Base Lr: 2.82e-04
2024-05-20 17:54:14 transreid.train INFO: Epoch[44] Iter[300/486] Loss: 0.257, Acc: 0.986, Base Lr: 2.82e-04
2024-05-20 17:54:17 transreid.train INFO: Epoch[44] Iter[320/486] Loss: 0.251, Acc: 0.986, Base Lr: 2.82e-04
2024-05-20 17:54:21 transreid.train INFO: Epoch[44] Iter[340/486] Loss: 0.246, Acc: 0.987, Base Lr: 2.82e-04
2024-05-20 17:54:24 transreid.train INFO: Epoch[44] Iter[360/486] Loss: 0.243, Acc: 0.987, Base Lr: 2.82e-04
2024-05-20 17:54:28 transreid.train INFO: Epoch[44] Iter[380/486] Loss: 0.238, Acc: 0.987, Base Lr: 2.82e-04
2024-05-20 17:54:31 transreid.train INFO: Epoch[44] Iter[400/486] Loss: 0.233, Acc: 0.987, Base Lr: 2.82e-04
2024-05-20 17:54:35 transreid.train INFO: Epoch[44] Iter[420/486] Loss: 0.228, Acc: 0.987, Base Lr: 2.82e-04
2024-05-20 17:54:38 transreid.train INFO: Epoch[44] Iter[440/486] Loss: 0.223, Acc: 0.987, Base Lr: 2.82e-04
2024-05-20 17:54:41 transreid.train INFO: Epoch[44] Iter[460/486] Loss: 0.217, Acc: 0.988, Base Lr: 2.82e-04
2024-05-20 17:54:44 transreid.train INFO: Epoch 44 done. Time per epoch: 85.078[s] Speed: 357.3[samples/s]
2024-05-20 17:54:51 transreid.train INFO: Epoch[45] Iter[20/486] Loss: 0.373, Acc: 0.970, Base Lr: 2.77e-04
2024-05-20 17:54:54 transreid.train INFO: Epoch[45] Iter[40/486] Loss: 0.348, Acc: 0.971, Base Lr: 2.77e-04
2024-05-20 17:54:58 transreid.train INFO: Epoch[45] Iter[60/486] Loss: 0.334, Acc: 0.973, Base Lr: 2.77e-04
2024-05-20 17:55:01 transreid.train INFO: Epoch[45] Iter[80/486] Loss: 0.321, Acc: 0.975, Base Lr: 2.77e-04
2024-05-20 17:55:04 transreid.train INFO: Epoch[45] Iter[100/486] Loss: 0.311, Acc: 0.978, Base Lr: 2.77e-04
2024-05-20 17:55:08 transreid.train INFO: Epoch[45] Iter[120/486] Loss: 0.310, Acc: 0.979, Base Lr: 2.77e-04
2024-05-20 17:55:11 transreid.train INFO: Epoch[45] Iter[140/486] Loss: 0.298, Acc: 0.980, Base Lr: 2.77e-04
2024-05-20 17:55:15 transreid.train INFO: Epoch[45] Iter[160/486] Loss: 0.291, Acc: 0.981, Base Lr: 2.77e-04
2024-05-20 17:55:18 transreid.train INFO: Epoch[45] Iter[180/486] Loss: 0.281, Acc: 0.982, Base Lr: 2.77e-04
2024-05-20 17:55:22 transreid.train INFO: Epoch[45] Iter[200/486] Loss: 0.277, Acc: 0.983, Base Lr: 2.77e-04
2024-05-20 17:55:25 transreid.train INFO: Epoch[45] Iter[220/486] Loss: 0.269, Acc: 0.983, Base Lr: 2.77e-04
2024-05-20 17:55:28 transreid.train INFO: Epoch[45] Iter[240/486] Loss: 0.263, Acc: 0.984, Base Lr: 2.77e-04
2024-05-20 17:55:32 transreid.train INFO: Epoch[45] Iter[260/486] Loss: 0.257, Acc: 0.985, Base Lr: 2.77e-04
2024-05-20 17:55:35 transreid.train INFO: Epoch[45] Iter[280/486] Loss: 0.251, Acc: 0.985, Base Lr: 2.77e-04
2024-05-20 17:55:39 transreid.train INFO: Epoch[45] Iter[300/486] Loss: 0.246, Acc: 0.986, Base Lr: 2.77e-04
2024-05-20 17:55:42 transreid.train INFO: Epoch[45] Iter[320/486] Loss: 0.242, Acc: 0.986, Base Lr: 2.77e-04
2024-05-20 17:55:45 transreid.train INFO: Epoch[45] Iter[340/486] Loss: 0.237, Acc: 0.987, Base Lr: 2.77e-04
2024-05-20 17:55:49 transreid.train INFO: Epoch[45] Iter[360/486] Loss: 0.232, Acc: 0.987, Base Lr: 2.77e-04
2024-05-20 17:55:52 transreid.train INFO: Epoch[45] Iter[380/486] Loss: 0.227, Acc: 0.988, Base Lr: 2.77e-04
2024-05-20 17:55:56 transreid.train INFO: Epoch[45] Iter[400/486] Loss: 0.222, Acc: 0.988, Base Lr: 2.77e-04
2024-05-20 17:55:59 transreid.train INFO: Epoch[45] Iter[420/486] Loss: 0.217, Acc: 0.988, Base Lr: 2.77e-04
2024-05-20 17:56:03 transreid.train INFO: Epoch[45] Iter[440/486] Loss: 0.211, Acc: 0.988, Base Lr: 2.77e-04
2024-05-20 17:56:06 transreid.train INFO: Epoch[45] Iter[460/486] Loss: 0.207, Acc: 0.989, Base Lr: 2.77e-04
2024-05-20 17:56:09 transreid.train INFO: Epoch 45 done. Time per epoch: 84.301[s] Speed: 359.1[samples/s]
2024-05-20 17:56:15 transreid.train INFO: Epoch[46] Iter[20/486] Loss: 0.316, Acc: 0.974, Base Lr: 2.72e-04
2024-05-20 17:56:19 transreid.train INFO: Epoch[46] Iter[40/486] Loss: 0.300, Acc: 0.980, Base Lr: 2.72e-04
2024-05-20 17:56:22 transreid.train INFO: Epoch[46] Iter[60/486] Loss: 0.284, Acc: 0.983, Base Lr: 2.72e-04
2024-05-20 17:56:26 transreid.train INFO: Epoch[46] Iter[80/486] Loss: 0.269, Acc: 0.984, Base Lr: 2.72e-04
2024-05-20 17:56:29 transreid.train INFO: Epoch[46] Iter[100/486] Loss: 0.278, Acc: 0.984, Base Lr: 2.72e-04
2024-05-20 17:56:32 transreid.train INFO: Epoch[46] Iter[120/486] Loss: 0.276, Acc: 0.985, Base Lr: 2.72e-04
2024-05-20 17:56:36 transreid.train INFO: Epoch[46] Iter[140/486] Loss: 0.271, Acc: 0.985, Base Lr: 2.72e-04
2024-05-20 17:56:39 transreid.train INFO: Epoch[46] Iter[160/486] Loss: 0.267, Acc: 0.985, Base Lr: 2.72e-04
2024-05-20 17:56:43 transreid.train INFO: Epoch[46] Iter[180/486] Loss: 0.260, Acc: 0.986, Base Lr: 2.72e-04
2024-05-20 17:56:46 transreid.train INFO: Epoch[46] Iter[200/486] Loss: 0.254, Acc: 0.986, Base Lr: 2.72e-04
2024-05-20 17:56:49 transreid.train INFO: Epoch[46] Iter[220/486] Loss: 0.247, Acc: 0.987, Base Lr: 2.72e-04
2024-05-20 17:56:53 transreid.train INFO: Epoch[46] Iter[240/486] Loss: 0.242, Acc: 0.987, Base Lr: 2.72e-04
2024-05-20 17:56:56 transreid.train INFO: Epoch[46] Iter[260/486] Loss: 0.236, Acc: 0.988, Base Lr: 2.72e-04
2024-05-20 17:57:00 transreid.train INFO: Epoch[46] Iter[280/486] Loss: 0.230, Acc: 0.988, Base Lr: 2.72e-04
2024-05-20 17:57:03 transreid.train INFO: Epoch[46] Iter[300/486] Loss: 0.226, Acc: 0.988, Base Lr: 2.72e-04
2024-05-20 17:57:07 transreid.train INFO: Epoch[46] Iter[320/486] Loss: 0.221, Acc: 0.988, Base Lr: 2.72e-04
2024-05-20 17:57:10 transreid.train INFO: Epoch[46] Iter[340/486] Loss: 0.217, Acc: 0.989, Base Lr: 2.72e-04
2024-05-20 17:57:13 transreid.train INFO: Epoch[46] Iter[360/486] Loss: 0.212, Acc: 0.989, Base Lr: 2.72e-04
2024-05-20 17:57:17 transreid.train INFO: Epoch[46] Iter[380/486] Loss: 0.207, Acc: 0.989, Base Lr: 2.72e-04
2024-05-20 17:57:20 transreid.train INFO: Epoch[46] Iter[400/486] Loss: 0.202, Acc: 0.990, Base Lr: 2.72e-04
2024-05-20 17:57:24 transreid.train INFO: Epoch[46] Iter[420/486] Loss: 0.199, Acc: 0.990, Base Lr: 2.72e-04
2024-05-20 17:57:27 transreid.train INFO: Epoch[46] Iter[440/486] Loss: 0.195, Acc: 0.990, Base Lr: 2.72e-04
2024-05-20 17:57:31 transreid.train INFO: Epoch[46] Iter[460/486] Loss: 0.190, Acc: 0.990, Base Lr: 2.72e-04
2024-05-20 17:57:33 transreid.train INFO: Epoch 46 done. Time per epoch: 84.495[s] Speed: 358.3[samples/s]
2024-05-20 17:57:40 transreid.train INFO: Epoch[47] Iter[20/486] Loss: 0.303, Acc: 0.980, Base Lr: 2.67e-04
2024-05-20 17:57:43 transreid.train INFO: Epoch[47] Iter[40/486] Loss: 0.309, Acc: 0.976, Base Lr: 2.67e-04
2024-05-20 17:57:47 transreid.train INFO: Epoch[47] Iter[60/486] Loss: 0.290, Acc: 0.980, Base Lr: 2.67e-04
2024-05-20 17:57:50 transreid.train INFO: Epoch[47] Iter[80/486] Loss: 0.281, Acc: 0.981, Base Lr: 2.67e-04
2024-05-20 17:57:53 transreid.train INFO: Epoch[47] Iter[100/486] Loss: 0.271, Acc: 0.984, Base Lr: 2.67e-04
2024-05-20 17:57:57 transreid.train INFO: Epoch[47] Iter[120/486] Loss: 0.270, Acc: 0.983, Base Lr: 2.67e-04
2024-05-20 17:58:00 transreid.train INFO: Epoch[47] Iter[140/486] Loss: 0.260, Acc: 0.984, Base Lr: 2.67e-04
2024-05-20 17:58:04 transreid.train INFO: Epoch[47] Iter[160/486] Loss: 0.253, Acc: 0.985, Base Lr: 2.67e-04
2024-05-20 17:58:07 transreid.train INFO: Epoch[47] Iter[180/486] Loss: 0.247, Acc: 0.986, Base Lr: 2.67e-04
2024-05-20 17:58:11 transreid.train INFO: Epoch[47] Iter[200/486] Loss: 0.243, Acc: 0.986, Base Lr: 2.67e-04
2024-05-20 17:58:14 transreid.train INFO: Epoch[47] Iter[220/486] Loss: 0.236, Acc: 0.987, Base Lr: 2.67e-04
2024-05-20 17:58:17 transreid.train INFO: Epoch[47] Iter[240/486] Loss: 0.230, Acc: 0.988, Base Lr: 2.67e-04
2024-05-20 17:58:21 transreid.train INFO: Epoch[47] Iter[260/486] Loss: 0.225, Acc: 0.988, Base Lr: 2.67e-04
2024-05-20 17:58:24 transreid.train INFO: Epoch[47] Iter[280/486] Loss: 0.220, Acc: 0.989, Base Lr: 2.67e-04
2024-05-20 17:58:28 transreid.train INFO: Epoch[47] Iter[300/486] Loss: 0.215, Acc: 0.989, Base Lr: 2.67e-04
2024-05-20 17:58:31 transreid.train INFO: Epoch[47] Iter[320/486] Loss: 0.211, Acc: 0.989, Base Lr: 2.67e-04
2024-05-20 17:58:35 transreid.train INFO: Epoch[47] Iter[340/486] Loss: 0.207, Acc: 0.990, Base Lr: 2.67e-04
2024-05-20 17:58:38 transreid.train INFO: Epoch[47] Iter[360/486] Loss: 0.203, Acc: 0.990, Base Lr: 2.67e-04
2024-05-20 17:58:41 transreid.train INFO: Epoch[47] Iter[380/486] Loss: 0.199, Acc: 0.990, Base Lr: 2.67e-04
2024-05-20 17:58:45 transreid.train INFO: Epoch[47] Iter[400/486] Loss: 0.195, Acc: 0.990, Base Lr: 2.67e-04
2024-05-20 17:58:48 transreid.train INFO: Epoch[47] Iter[420/486] Loss: 0.191, Acc: 0.990, Base Lr: 2.67e-04
2024-05-20 17:58:52 transreid.train INFO: Epoch[47] Iter[440/486] Loss: 0.188, Acc: 0.990, Base Lr: 2.67e-04
2024-05-20 17:58:55 transreid.train INFO: Epoch[47] Iter[460/486] Loss: 0.184, Acc: 0.990, Base Lr: 2.67e-04
2024-05-20 17:58:58 transreid.train INFO: Epoch 47 done. Time per epoch: 84.528[s] Speed: 357.4[samples/s]
2024-05-20 17:59:04 transreid.train INFO: Epoch[48] Iter[20/486] Loss: 0.295, Acc: 0.975, Base Lr: 2.62e-04
2024-05-20 17:59:08 transreid.train INFO: Epoch[48] Iter[40/486] Loss: 0.284, Acc: 0.978, Base Lr: 2.62e-04
2024-05-20 17:59:11 transreid.train INFO: Epoch[48] Iter[60/486] Loss: 0.277, Acc: 0.981, Base Lr: 2.62e-04
2024-05-20 17:59:14 transreid.train INFO: Epoch[48] Iter[80/486] Loss: 0.271, Acc: 0.982, Base Lr: 2.62e-04
2024-05-20 17:59:18 transreid.train INFO: Epoch[48] Iter[100/486] Loss: 0.260, Acc: 0.983, Base Lr: 2.62e-04
2024-05-20 17:59:21 transreid.train INFO: Epoch[48] Iter[120/486] Loss: 0.253, Acc: 0.985, Base Lr: 2.62e-04
2024-05-20 17:59:25 transreid.train INFO: Epoch[48] Iter[140/486] Loss: 0.248, Acc: 0.985, Base Lr: 2.62e-04
2024-05-20 17:59:28 transreid.train INFO: Epoch[48] Iter[160/486] Loss: 0.246, Acc: 0.985, Base Lr: 2.62e-04
2024-05-20 17:59:32 transreid.train INFO: Epoch[48] Iter[180/486] Loss: 0.241, Acc: 0.986, Base Lr: 2.62e-04
2024-05-20 17:59:35 transreid.train INFO: Epoch[48] Iter[200/486] Loss: 0.233, Acc: 0.987, Base Lr: 2.62e-04
2024-05-20 17:59:38 transreid.train INFO: Epoch[48] Iter[220/486] Loss: 0.230, Acc: 0.987, Base Lr: 2.62e-04
2024-05-20 17:59:42 transreid.train INFO: Epoch[48] Iter[240/486] Loss: 0.224, Acc: 0.988, Base Lr: 2.62e-04
2024-05-20 17:59:45 transreid.train INFO: Epoch[48] Iter[260/486] Loss: 0.218, Acc: 0.988, Base Lr: 2.62e-04
2024-05-20 17:59:49 transreid.train INFO: Epoch[48] Iter[280/486] Loss: 0.213, Acc: 0.988, Base Lr: 2.62e-04
2024-05-20 17:59:52 transreid.train INFO: Epoch[48] Iter[300/486] Loss: 0.210, Acc: 0.988, Base Lr: 2.62e-04
2024-05-20 17:59:56 transreid.train INFO: Epoch[48] Iter[320/486] Loss: 0.206, Acc: 0.989, Base Lr: 2.62e-04
2024-05-20 17:59:59 transreid.train INFO: Epoch[48] Iter[340/486] Loss: 0.202, Acc: 0.989, Base Lr: 2.62e-04
2024-05-20 18:00:02 transreid.train INFO: Epoch[48] Iter[360/486] Loss: 0.199, Acc: 0.989, Base Lr: 2.62e-04
2024-05-20 18:00:06 transreid.train INFO: Epoch[48] Iter[380/486] Loss: 0.195, Acc: 0.989, Base Lr: 2.62e-04
2024-05-20 18:00:09 transreid.train INFO: Epoch[48] Iter[400/486] Loss: 0.190, Acc: 0.990, Base Lr: 2.62e-04
2024-05-20 18:00:13 transreid.train INFO: Epoch[48] Iter[420/486] Loss: 0.185, Acc: 0.990, Base Lr: 2.62e-04
2024-05-20 18:00:16 transreid.train INFO: Epoch[48] Iter[440/486] Loss: 0.180, Acc: 0.990, Base Lr: 2.62e-04
2024-05-20 18:00:20 transreid.train INFO: Epoch[48] Iter[460/486] Loss: 0.175, Acc: 0.991, Base Lr: 2.62e-04
2024-05-20 18:00:22 transreid.train INFO: Epoch 48 done. Time per epoch: 83.932[s] Speed: 358.4[samples/s]
2024-05-20 18:00:28 transreid.train INFO: Epoch[49] Iter[20/486] Loss: 0.282, Acc: 0.981, Base Lr: 2.57e-04
2024-05-20 18:00:32 transreid.train INFO: Epoch[49] Iter[40/486] Loss: 0.247, Acc: 0.987, Base Lr: 2.57e-04
2024-05-20 18:00:35 transreid.train INFO: Epoch[49] Iter[60/486] Loss: 0.240, Acc: 0.988, Base Lr: 2.57e-04
2024-05-20 18:00:39 transreid.train INFO: Epoch[49] Iter[80/486] Loss: 0.245, Acc: 0.987, Base Lr: 2.57e-04
2024-05-20 18:00:42 transreid.train INFO: Epoch[49] Iter[100/486] Loss: 0.243, Acc: 0.987, Base Lr: 2.57e-04
2024-05-20 18:00:46 transreid.train INFO: Epoch[49] Iter[120/486] Loss: 0.244, Acc: 0.987, Base Lr: 2.57e-04
2024-05-20 18:00:49 transreid.train INFO: Epoch[49] Iter[140/486] Loss: 0.236, Acc: 0.987, Base Lr: 2.57e-04
2024-05-20 18:00:52 transreid.train INFO: Epoch[49] Iter[160/486] Loss: 0.227, Acc: 0.988, Base Lr: 2.57e-04
2024-05-20 18:00:56 transreid.train INFO: Epoch[49] Iter[180/486] Loss: 0.223, Acc: 0.988, Base Lr: 2.57e-04
2024-05-20 18:00:59 transreid.train INFO: Epoch[49] Iter[200/486] Loss: 0.222, Acc: 0.988, Base Lr: 2.57e-04
2024-05-20 18:01:03 transreid.train INFO: Epoch[49] Iter[220/486] Loss: 0.217, Acc: 0.989, Base Lr: 2.57e-04
2024-05-20 18:01:06 transreid.train INFO: Epoch[49] Iter[240/486] Loss: 0.214, Acc: 0.989, Base Lr: 2.57e-04
2024-05-20 18:01:10 transreid.train INFO: Epoch[49] Iter[260/486] Loss: 0.210, Acc: 0.989, Base Lr: 2.57e-04
2024-05-20 18:01:13 transreid.train INFO: Epoch[49] Iter[280/486] Loss: 0.206, Acc: 0.989, Base Lr: 2.57e-04
2024-05-20 18:01:17 transreid.train INFO: Epoch[49] Iter[300/486] Loss: 0.203, Acc: 0.990, Base Lr: 2.57e-04
2024-05-20 18:01:20 transreid.train INFO: Epoch[49] Iter[320/486] Loss: 0.198, Acc: 0.990, Base Lr: 2.57e-04
2024-05-20 18:01:23 transreid.train INFO: Epoch[49] Iter[340/486] Loss: 0.194, Acc: 0.990, Base Lr: 2.57e-04
2024-05-20 18:01:27 transreid.train INFO: Epoch[49] Iter[360/486] Loss: 0.189, Acc: 0.991, Base Lr: 2.57e-04
2024-05-20 18:01:30 transreid.train INFO: Epoch[49] Iter[380/486] Loss: 0.186, Acc: 0.991, Base Lr: 2.57e-04
2024-05-20 18:01:34 transreid.train INFO: Epoch[49] Iter[400/486] Loss: 0.182, Acc: 0.991, Base Lr: 2.57e-04
2024-05-20 18:01:37 transreid.train INFO: Epoch[49] Iter[420/486] Loss: 0.177, Acc: 0.991, Base Lr: 2.57e-04
2024-05-20 18:01:41 transreid.train INFO: Epoch[49] Iter[440/486] Loss: 0.174, Acc: 0.991, Base Lr: 2.57e-04
2024-05-20 18:01:44 transreid.train INFO: Epoch[49] Iter[460/486] Loss: 0.169, Acc: 0.991, Base Lr: 2.57e-04
2024-05-20 18:01:47 transreid.train INFO: Epoch 49 done. Time per epoch: 85.125[s] Speed: 355.6[samples/s]
2024-05-20 18:01:53 transreid.train INFO: Epoch[50] Iter[20/486] Loss: 0.291, Acc: 0.975, Base Lr: 2.52e-04
2024-05-20 18:01:57 transreid.train INFO: Epoch[50] Iter[40/486] Loss: 0.251, Acc: 0.983, Base Lr: 2.52e-04
2024-05-20 18:02:00 transreid.train INFO: Epoch[50] Iter[60/486] Loss: 0.243, Acc: 0.985, Base Lr: 2.52e-04
2024-05-20 18:02:04 transreid.train INFO: Epoch[50] Iter[80/486] Loss: 0.236, Acc: 0.986, Base Lr: 2.52e-04
2024-05-20 18:02:07 transreid.train INFO: Epoch[50] Iter[100/486] Loss: 0.233, Acc: 0.987, Base Lr: 2.52e-04
2024-05-20 18:02:10 transreid.train INFO: Epoch[50] Iter[120/486] Loss: 0.231, Acc: 0.988, Base Lr: 2.52e-04
2024-05-20 18:02:14 transreid.train INFO: Epoch[50] Iter[140/486] Loss: 0.226, Acc: 0.988, Base Lr: 2.52e-04
2024-05-20 18:02:17 transreid.train INFO: Epoch[50] Iter[160/486] Loss: 0.222, Acc: 0.988, Base Lr: 2.52e-04
2024-05-20 18:02:21 transreid.train INFO: Epoch[50] Iter[180/486] Loss: 0.220, Acc: 0.989, Base Lr: 2.52e-04
2024-05-20 18:02:24 transreid.train INFO: Epoch[50] Iter[200/486] Loss: 0.217, Acc: 0.989, Base Lr: 2.52e-04
2024-05-20 18:02:28 transreid.train INFO: Epoch[50] Iter[220/486] Loss: 0.213, Acc: 0.989, Base Lr: 2.52e-04
2024-05-20 18:02:31 transreid.train INFO: Epoch[50] Iter[240/486] Loss: 0.211, Acc: 0.989, Base Lr: 2.52e-04
2024-05-20 18:02:34 transreid.train INFO: Epoch[50] Iter[260/486] Loss: 0.208, Acc: 0.990, Base Lr: 2.52e-04
2024-05-20 18:02:38 transreid.train INFO: Epoch[50] Iter[280/486] Loss: 0.206, Acc: 0.990, Base Lr: 2.52e-04
2024-05-20 18:02:41 transreid.train INFO: Epoch[50] Iter[300/486] Loss: 0.203, Acc: 0.990, Base Lr: 2.52e-04
2024-05-20 18:02:45 transreid.train INFO: Epoch[50] Iter[320/486] Loss: 0.198, Acc: 0.990, Base Lr: 2.52e-04
2024-05-20 18:02:48 transreid.train INFO: Epoch[50] Iter[340/486] Loss: 0.195, Acc: 0.990, Base Lr: 2.52e-04
2024-05-20 18:02:52 transreid.train INFO: Epoch[50] Iter[360/486] Loss: 0.190, Acc: 0.990, Base Lr: 2.52e-04
2024-05-20 18:02:55 transreid.train INFO: Epoch[50] Iter[380/486] Loss: 0.185, Acc: 0.991, Base Lr: 2.52e-04
2024-05-20 18:02:59 transreid.train INFO: Epoch[50] Iter[400/486] Loss: 0.181, Acc: 0.991, Base Lr: 2.52e-04
2024-05-20 18:03:02 transreid.train INFO: Epoch[50] Iter[420/486] Loss: 0.178, Acc: 0.991, Base Lr: 2.52e-04
2024-05-20 18:03:05 transreid.train INFO: Epoch[50] Iter[440/486] Loss: 0.173, Acc: 0.991, Base Lr: 2.52e-04
2024-05-20 18:03:09 transreid.train INFO: Epoch[50] Iter[460/486] Loss: 0.170, Acc: 0.991, Base Lr: 2.52e-04
2024-05-20 18:03:12 transreid.train INFO: Epoch 50 done. Time per epoch: 84.867[s] Speed: 356.7[samples/s]
2024-05-20 18:03:19 transreid.train INFO: Epoch[51] Iter[20/486] Loss: 0.254, Acc: 0.984, Base Lr: 2.47e-04
2024-05-20 18:03:22 transreid.train INFO: Epoch[51] Iter[40/486] Loss: 0.246, Acc: 0.984, Base Lr: 2.47e-04
2024-05-20 18:03:26 transreid.train INFO: Epoch[51] Iter[60/486] Loss: 0.242, Acc: 0.985, Base Lr: 2.47e-04
2024-05-20 18:03:29 transreid.train INFO: Epoch[51] Iter[80/486] Loss: 0.244, Acc: 0.984, Base Lr: 2.47e-04
2024-05-20 18:03:33 transreid.train INFO: Epoch[51] Iter[100/486] Loss: 0.234, Acc: 0.986, Base Lr: 2.47e-04
2024-05-20 18:03:36 transreid.train INFO: Epoch[51] Iter[120/486] Loss: 0.226, Acc: 0.987, Base Lr: 2.47e-04
2024-05-20 18:03:39 transreid.train INFO: Epoch[51] Iter[140/486] Loss: 0.222, Acc: 0.987, Base Lr: 2.47e-04
2024-05-20 18:03:43 transreid.train INFO: Epoch[51] Iter[160/486] Loss: 0.215, Acc: 0.988, Base Lr: 2.47e-04
2024-05-20 18:03:46 transreid.train INFO: Epoch[51] Iter[180/486] Loss: 0.210, Acc: 0.989, Base Lr: 2.47e-04
2024-05-20 18:03:49 transreid.train INFO: Epoch[51] Iter[200/486] Loss: 0.207, Acc: 0.989, Base Lr: 2.47e-04
2024-05-20 18:03:53 transreid.train INFO: Epoch[51] Iter[220/486] Loss: 0.203, Acc: 0.989, Base Lr: 2.47e-04
2024-05-20 18:03:56 transreid.train INFO: Epoch[51] Iter[240/486] Loss: 0.198, Acc: 0.990, Base Lr: 2.47e-04
2024-05-20 18:04:00 transreid.train INFO: Epoch[51] Iter[260/486] Loss: 0.195, Acc: 0.990, Base Lr: 2.47e-04
2024-05-20 18:04:03 transreid.train INFO: Epoch[51] Iter[280/486] Loss: 0.190, Acc: 0.990, Base Lr: 2.47e-04
2024-05-20 18:04:07 transreid.train INFO: Epoch[51] Iter[300/486] Loss: 0.186, Acc: 0.990, Base Lr: 2.47e-04
2024-05-20 18:04:10 transreid.train INFO: Epoch[51] Iter[320/486] Loss: 0.182, Acc: 0.991, Base Lr: 2.47e-04
2024-05-20 18:04:13 transreid.train INFO: Epoch[51] Iter[340/486] Loss: 0.180, Acc: 0.991, Base Lr: 2.47e-04
2024-05-20 18:04:17 transreid.train INFO: Epoch[51] Iter[360/486] Loss: 0.177, Acc: 0.991, Base Lr: 2.47e-04
2024-05-20 18:04:20 transreid.train INFO: Epoch[51] Iter[380/486] Loss: 0.172, Acc: 0.991, Base Lr: 2.47e-04
2024-05-20 18:04:23 transreid.train INFO: Epoch[51] Iter[400/486] Loss: 0.170, Acc: 0.991, Base Lr: 2.47e-04
2024-05-20 18:04:27 transreid.train INFO: Epoch[51] Iter[420/486] Loss: 0.166, Acc: 0.991, Base Lr: 2.47e-04
2024-05-20 18:04:30 transreid.train INFO: Epoch[51] Iter[440/486] Loss: 0.163, Acc: 0.991, Base Lr: 2.47e-04
2024-05-20 18:04:34 transreid.train INFO: Epoch[51] Iter[460/486] Loss: 0.159, Acc: 0.991, Base Lr: 2.47e-04
2024-05-20 18:04:37 transreid.train INFO: Epoch 51 done. Time per epoch: 85.384[s] Speed: 357.5[samples/s]
2024-05-20 18:04:44 transreid.train INFO: Epoch[52] Iter[20/486] Loss: 0.242, Acc: 0.981, Base Lr: 2.42e-04
2024-05-20 18:04:48 transreid.train INFO: Epoch[52] Iter[40/486] Loss: 0.234, Acc: 0.986, Base Lr: 2.42e-04
2024-05-20 18:04:51 transreid.train INFO: Epoch[52] Iter[60/486] Loss: 0.230, Acc: 0.985, Base Lr: 2.42e-04
2024-05-20 18:04:54 transreid.train INFO: Epoch[52] Iter[80/486] Loss: 0.224, Acc: 0.985, Base Lr: 2.42e-04
2024-05-20 18:04:58 transreid.train INFO: Epoch[52] Iter[100/486] Loss: 0.219, Acc: 0.987, Base Lr: 2.42e-04
2024-05-20 18:05:01 transreid.train INFO: Epoch[52] Iter[120/486] Loss: 0.217, Acc: 0.987, Base Lr: 2.42e-04
2024-05-20 18:05:05 transreid.train INFO: Epoch[52] Iter[140/486] Loss: 0.214, Acc: 0.988, Base Lr: 2.42e-04
2024-05-20 18:05:08 transreid.train INFO: Epoch[52] Iter[160/486] Loss: 0.208, Acc: 0.988, Base Lr: 2.42e-04
2024-05-20 18:05:12 transreid.train INFO: Epoch[52] Iter[180/486] Loss: 0.204, Acc: 0.989, Base Lr: 2.42e-04
2024-05-20 18:05:15 transreid.train INFO: Epoch[52] Iter[200/486] Loss: 0.200, Acc: 0.990, Base Lr: 2.42e-04
2024-05-20 18:05:18 transreid.train INFO: Epoch[52] Iter[220/486] Loss: 0.197, Acc: 0.990, Base Lr: 2.42e-04
2024-05-20 18:05:22 transreid.train INFO: Epoch[52] Iter[240/486] Loss: 0.193, Acc: 0.991, Base Lr: 2.42e-04
2024-05-20 18:05:25 transreid.train INFO: Epoch[52] Iter[260/486] Loss: 0.189, Acc: 0.991, Base Lr: 2.42e-04
2024-05-20 18:05:29 transreid.train INFO: Epoch[52] Iter[280/486] Loss: 0.185, Acc: 0.991, Base Lr: 2.42e-04
2024-05-20 18:05:32 transreid.train INFO: Epoch[52] Iter[300/486] Loss: 0.181, Acc: 0.991, Base Lr: 2.42e-04
2024-05-20 18:05:35 transreid.train INFO: Epoch[52] Iter[320/486] Loss: 0.178, Acc: 0.991, Base Lr: 2.42e-04
2024-05-20 18:05:39 transreid.train INFO: Epoch[52] Iter[340/486] Loss: 0.175, Acc: 0.992, Base Lr: 2.42e-04
2024-05-20 18:05:42 transreid.train INFO: Epoch[52] Iter[360/486] Loss: 0.171, Acc: 0.992, Base Lr: 2.42e-04
2024-05-20 18:05:46 transreid.train INFO: Epoch[52] Iter[380/486] Loss: 0.168, Acc: 0.992, Base Lr: 2.42e-04
2024-05-20 18:05:49 transreid.train INFO: Epoch[52] Iter[400/486] Loss: 0.164, Acc: 0.992, Base Lr: 2.42e-04
2024-05-20 18:05:53 transreid.train INFO: Epoch[52] Iter[420/486] Loss: 0.160, Acc: 0.992, Base Lr: 2.42e-04
2024-05-20 18:05:56 transreid.train INFO: Epoch[52] Iter[440/486] Loss: 0.156, Acc: 0.992, Base Lr: 2.42e-04
2024-05-20 18:05:59 transreid.train INFO: Epoch[52] Iter[460/486] Loss: 0.153, Acc: 0.993, Base Lr: 2.42e-04
2024-05-20 18:06:02 transreid.train INFO: Epoch 52 done. Time per epoch: 85.414[s] Speed: 355.9[samples/s]
2024-05-20 18:06:09 transreid.train INFO: Epoch[53] Iter[20/486] Loss: 0.266, Acc: 0.980, Base Lr: 2.37e-04
2024-05-20 18:06:13 transreid.train INFO: Epoch[53] Iter[40/486] Loss: 0.242, Acc: 0.986, Base Lr: 2.37e-04
2024-05-20 18:06:16 transreid.train INFO: Epoch[53] Iter[60/486] Loss: 0.236, Acc: 0.986, Base Lr: 2.37e-04
2024-05-20 18:06:19 transreid.train INFO: Epoch[53] Iter[80/486] Loss: 0.223, Acc: 0.988, Base Lr: 2.37e-04
2024-05-20 18:06:23 transreid.train INFO: Epoch[53] Iter[100/486] Loss: 0.221, Acc: 0.987, Base Lr: 2.37e-04
2024-05-20 18:06:26 transreid.train INFO: Epoch[53] Iter[120/486] Loss: 0.212, Acc: 0.988, Base Lr: 2.37e-04
2024-05-20 18:06:30 transreid.train INFO: Epoch[53] Iter[140/486] Loss: 0.206, Acc: 0.989, Base Lr: 2.37e-04
2024-05-20 18:06:33 transreid.train INFO: Epoch[53] Iter[160/486] Loss: 0.201, Acc: 0.990, Base Lr: 2.37e-04
2024-05-20 18:06:36 transreid.train INFO: Epoch[53] Iter[180/486] Loss: 0.195, Acc: 0.991, Base Lr: 2.37e-04
2024-05-20 18:06:40 transreid.train INFO: Epoch[53] Iter[200/486] Loss: 0.192, Acc: 0.991, Base Lr: 2.37e-04
2024-05-20 18:06:43 transreid.train INFO: Epoch[53] Iter[220/486] Loss: 0.188, Acc: 0.991, Base Lr: 2.37e-04
2024-05-20 18:06:47 transreid.train INFO: Epoch[53] Iter[240/486] Loss: 0.184, Acc: 0.991, Base Lr: 2.37e-04
2024-05-20 18:06:50 transreid.train INFO: Epoch[53] Iter[260/486] Loss: 0.180, Acc: 0.992, Base Lr: 2.37e-04
2024-05-20 18:06:54 transreid.train INFO: Epoch[53] Iter[280/486] Loss: 0.176, Acc: 0.992, Base Lr: 2.37e-04
2024-05-20 18:06:57 transreid.train INFO: Epoch[53] Iter[300/486] Loss: 0.173, Acc: 0.992, Base Lr: 2.37e-04
2024-05-20 18:07:00 transreid.train INFO: Epoch[53] Iter[320/486] Loss: 0.170, Acc: 0.992, Base Lr: 2.37e-04
2024-05-20 18:07:04 transreid.train INFO: Epoch[53] Iter[340/486] Loss: 0.167, Acc: 0.992, Base Lr: 2.37e-04
2024-05-20 18:07:07 transreid.train INFO: Epoch[53] Iter[360/486] Loss: 0.163, Acc: 0.992, Base Lr: 2.37e-04
2024-05-20 18:07:10 transreid.train INFO: Epoch[53] Iter[380/486] Loss: 0.159, Acc: 0.992, Base Lr: 2.37e-04
2024-05-20 18:07:14 transreid.train INFO: Epoch[53] Iter[400/486] Loss: 0.155, Acc: 0.992, Base Lr: 2.37e-04
2024-05-20 18:07:17 transreid.train INFO: Epoch[53] Iter[420/486] Loss: 0.152, Acc: 0.993, Base Lr: 2.37e-04
2024-05-20 18:07:21 transreid.train INFO: Epoch[53] Iter[440/486] Loss: 0.150, Acc: 0.993, Base Lr: 2.37e-04
2024-05-20 18:07:24 transreid.train INFO: Epoch[53] Iter[460/486] Loss: 0.147, Acc: 0.993, Base Lr: 2.37e-04
2024-05-20 18:07:27 transreid.train INFO: Epoch 53 done. Time per epoch: 84.418[s] Speed: 359.4[samples/s]
2024-05-20 18:07:34 transreid.train INFO: Epoch[54] Iter[20/486] Loss: 0.238, Acc: 0.986, Base Lr: 2.32e-04
2024-05-20 18:07:37 transreid.train INFO: Epoch[54] Iter[40/486] Loss: 0.232, Acc: 0.984, Base Lr: 2.32e-04
2024-05-20 18:07:41 transreid.train INFO: Epoch[54] Iter[60/486] Loss: 0.211, Acc: 0.987, Base Lr: 2.32e-04
2024-05-20 18:07:44 transreid.train INFO: Epoch[54] Iter[80/486] Loss: 0.202, Acc: 0.988, Base Lr: 2.32e-04
2024-05-20 18:07:47 transreid.train INFO: Epoch[54] Iter[100/486] Loss: 0.195, Acc: 0.989, Base Lr: 2.32e-04
2024-05-20 18:07:51 transreid.train INFO: Epoch[54] Iter[120/486] Loss: 0.190, Acc: 0.990, Base Lr: 2.32e-04
2024-05-20 18:07:54 transreid.train INFO: Epoch[54] Iter[140/486] Loss: 0.187, Acc: 0.990, Base Lr: 2.32e-04
2024-05-20 18:07:58 transreid.train INFO: Epoch[54] Iter[160/486] Loss: 0.181, Acc: 0.991, Base Lr: 2.32e-04
2024-05-20 18:08:01 transreid.train INFO: Epoch[54] Iter[180/486] Loss: 0.177, Acc: 0.991, Base Lr: 2.32e-04
2024-05-20 18:08:05 transreid.train INFO: Epoch[54] Iter[200/486] Loss: 0.174, Acc: 0.991, Base Lr: 2.32e-04
2024-05-20 18:08:08 transreid.train INFO: Epoch[54] Iter[220/486] Loss: 0.173, Acc: 0.991, Base Lr: 2.32e-04
2024-05-20 18:08:11 transreid.train INFO: Epoch[54] Iter[240/486] Loss: 0.169, Acc: 0.992, Base Lr: 2.32e-04
2024-05-20 18:08:15 transreid.train INFO: Epoch[54] Iter[260/486] Loss: 0.165, Acc: 0.992, Base Lr: 2.32e-04
2024-05-20 18:08:18 transreid.train INFO: Epoch[54] Iter[280/486] Loss: 0.163, Acc: 0.992, Base Lr: 2.32e-04
2024-05-20 18:08:22 transreid.train INFO: Epoch[54] Iter[300/486] Loss: 0.160, Acc: 0.992, Base Lr: 2.32e-04
2024-05-20 18:08:25 transreid.train INFO: Epoch[54] Iter[320/486] Loss: 0.157, Acc: 0.992, Base Lr: 2.32e-04
2024-05-20 18:08:28 transreid.train INFO: Epoch[54] Iter[340/486] Loss: 0.155, Acc: 0.993, Base Lr: 2.32e-04
2024-05-20 18:08:32 transreid.train INFO: Epoch[54] Iter[360/486] Loss: 0.153, Acc: 0.993, Base Lr: 2.32e-04
2024-05-20 18:08:35 transreid.train INFO: Epoch[54] Iter[380/486] Loss: 0.150, Acc: 0.993, Base Lr: 2.32e-04
2024-05-20 18:08:39 transreid.train INFO: Epoch[54] Iter[400/486] Loss: 0.146, Acc: 0.993, Base Lr: 2.32e-04
2024-05-20 18:08:42 transreid.train INFO: Epoch[54] Iter[420/486] Loss: 0.144, Acc: 0.993, Base Lr: 2.32e-04
2024-05-20 18:08:46 transreid.train INFO: Epoch[54] Iter[440/486] Loss: 0.141, Acc: 0.993, Base Lr: 2.32e-04
2024-05-20 18:08:49 transreid.train INFO: Epoch[54] Iter[460/486] Loss: 0.138, Acc: 0.993, Base Lr: 2.32e-04
2024-05-20 18:08:52 transreid.train INFO: Epoch 54 done. Time per epoch: 85.559[s] Speed: 356.8[samples/s]
2024-05-20 18:09:00 transreid.train INFO: Epoch[55] Iter[20/486] Loss: 0.204, Acc: 0.988, Base Lr: 2.26e-04
2024-05-20 18:09:03 transreid.train INFO: Epoch[55] Iter[40/486] Loss: 0.198, Acc: 0.988, Base Lr: 2.26e-04
2024-05-20 18:09:06 transreid.train INFO: Epoch[55] Iter[60/486] Loss: 0.196, Acc: 0.989, Base Lr: 2.26e-04
2024-05-20 18:09:10 transreid.train INFO: Epoch[55] Iter[80/486] Loss: 0.189, Acc: 0.990, Base Lr: 2.26e-04
2024-05-20 18:09:13 transreid.train INFO: Epoch[55] Iter[100/486] Loss: 0.190, Acc: 0.990, Base Lr: 2.26e-04
2024-05-20 18:09:17 transreid.train INFO: Epoch[55] Iter[120/486] Loss: 0.189, Acc: 0.990, Base Lr: 2.26e-04
2024-05-20 18:09:20 transreid.train INFO: Epoch[55] Iter[140/486] Loss: 0.183, Acc: 0.991, Base Lr: 2.26e-04
2024-05-20 18:09:24 transreid.train INFO: Epoch[55] Iter[160/486] Loss: 0.180, Acc: 0.991, Base Lr: 2.26e-04
2024-05-20 18:09:27 transreid.train INFO: Epoch[55] Iter[180/486] Loss: 0.175, Acc: 0.991, Base Lr: 2.26e-04
2024-05-20 18:09:30 transreid.train INFO: Epoch[55] Iter[200/486] Loss: 0.170, Acc: 0.992, Base Lr: 2.26e-04
2024-05-20 18:09:34 transreid.train INFO: Epoch[55] Iter[220/486] Loss: 0.168, Acc: 0.992, Base Lr: 2.26e-04
2024-05-20 18:09:37 transreid.train INFO: Epoch[55] Iter[240/486] Loss: 0.165, Acc: 0.993, Base Lr: 2.26e-04
2024-05-20 18:09:41 transreid.train INFO: Epoch[55] Iter[260/486] Loss: 0.162, Acc: 0.993, Base Lr: 2.26e-04
2024-05-20 18:09:44 transreid.train INFO: Epoch[55] Iter[280/486] Loss: 0.159, Acc: 0.993, Base Lr: 2.26e-04
2024-05-20 18:09:48 transreid.train INFO: Epoch[55] Iter[300/486] Loss: 0.157, Acc: 0.993, Base Lr: 2.26e-04
2024-05-20 18:09:51 transreid.train INFO: Epoch[55] Iter[320/486] Loss: 0.156, Acc: 0.993, Base Lr: 2.26e-04
2024-05-20 18:09:55 transreid.train INFO: Epoch[55] Iter[340/486] Loss: 0.153, Acc: 0.993, Base Lr: 2.26e-04
2024-05-20 18:09:58 transreid.train INFO: Epoch[55] Iter[360/486] Loss: 0.151, Acc: 0.993, Base Lr: 2.26e-04
2024-05-20 18:10:02 transreid.train INFO: Epoch[55] Iter[380/486] Loss: 0.148, Acc: 0.993, Base Lr: 2.26e-04
2024-05-20 18:10:05 transreid.train INFO: Epoch[55] Iter[400/486] Loss: 0.145, Acc: 0.993, Base Lr: 2.26e-04
2024-05-20 18:10:08 transreid.train INFO: Epoch[55] Iter[420/486] Loss: 0.142, Acc: 0.993, Base Lr: 2.26e-04
2024-05-20 18:10:12 transreid.train INFO: Epoch[55] Iter[440/486] Loss: 0.138, Acc: 0.993, Base Lr: 2.26e-04
2024-05-20 18:10:15 transreid.train INFO: Epoch[55] Iter[460/486] Loss: 0.135, Acc: 0.994, Base Lr: 2.26e-04
2024-05-20 18:10:18 transreid.train INFO: Epoch 55 done. Time per epoch: 85.470[s] Speed: 353.4[samples/s]
2024-05-20 18:10:24 transreid.train INFO: Epoch[56] Iter[20/486] Loss: 0.189, Acc: 0.991, Base Lr: 2.21e-04
2024-05-20 18:10:28 transreid.train INFO: Epoch[56] Iter[40/486] Loss: 0.192, Acc: 0.991, Base Lr: 2.21e-04
2024-05-20 18:10:31 transreid.train INFO: Epoch[56] Iter[60/486] Loss: 0.189, Acc: 0.991, Base Lr: 2.21e-04
2024-05-20 18:10:35 transreid.train INFO: Epoch[56] Iter[80/486] Loss: 0.185, Acc: 0.991, Base Lr: 2.21e-04
2024-05-20 18:10:38 transreid.train INFO: Epoch[56] Iter[100/486] Loss: 0.186, Acc: 0.991, Base Lr: 2.21e-04
2024-05-20 18:10:42 transreid.train INFO: Epoch[56] Iter[120/486] Loss: 0.183, Acc: 0.991, Base Lr: 2.21e-04
2024-05-20 18:10:45 transreid.train INFO: Epoch[56] Iter[140/486] Loss: 0.180, Acc: 0.991, Base Lr: 2.21e-04
2024-05-20 18:10:49 transreid.train INFO: Epoch[56] Iter[160/486] Loss: 0.177, Acc: 0.992, Base Lr: 2.21e-04
2024-05-20 18:10:52 transreid.train INFO: Epoch[56] Iter[180/486] Loss: 0.173, Acc: 0.992, Base Lr: 2.21e-04
2024-05-20 18:10:55 transreid.train INFO: Epoch[56] Iter[200/486] Loss: 0.169, Acc: 0.992, Base Lr: 2.21e-04
2024-05-20 18:10:59 transreid.train INFO: Epoch[56] Iter[220/486] Loss: 0.169, Acc: 0.992, Base Lr: 2.21e-04
2024-05-20 18:11:02 transreid.train INFO: Epoch[56] Iter[240/486] Loss: 0.166, Acc: 0.992, Base Lr: 2.21e-04
2024-05-20 18:11:06 transreid.train INFO: Epoch[56] Iter[260/486] Loss: 0.163, Acc: 0.992, Base Lr: 2.21e-04
2024-05-20 18:11:09 transreid.train INFO: Epoch[56] Iter[280/486] Loss: 0.161, Acc: 0.992, Base Lr: 2.21e-04
2024-05-20 18:11:13 transreid.train INFO: Epoch[56] Iter[300/486] Loss: 0.157, Acc: 0.993, Base Lr: 2.21e-04
2024-05-20 18:11:16 transreid.train INFO: Epoch[56] Iter[320/486] Loss: 0.155, Acc: 0.993, Base Lr: 2.21e-04
2024-05-20 18:11:20 transreid.train INFO: Epoch[56] Iter[340/486] Loss: 0.152, Acc: 0.993, Base Lr: 2.21e-04
2024-05-20 18:11:23 transreid.train INFO: Epoch[56] Iter[360/486] Loss: 0.149, Acc: 0.993, Base Lr: 2.21e-04
2024-05-20 18:11:26 transreid.train INFO: Epoch[56] Iter[380/486] Loss: 0.146, Acc: 0.993, Base Lr: 2.21e-04
2024-05-20 18:11:30 transreid.train INFO: Epoch[56] Iter[400/486] Loss: 0.143, Acc: 0.993, Base Lr: 2.21e-04
2024-05-20 18:11:33 transreid.train INFO: Epoch[56] Iter[420/486] Loss: 0.140, Acc: 0.994, Base Lr: 2.21e-04
2024-05-20 18:11:37 transreid.train INFO: Epoch[56] Iter[440/486] Loss: 0.136, Acc: 0.994, Base Lr: 2.21e-04
2024-05-20 18:11:40 transreid.train INFO: Epoch[56] Iter[460/486] Loss: 0.135, Acc: 0.994, Base Lr: 2.21e-04
2024-05-20 18:11:43 transreid.train INFO: Epoch 56 done. Time per epoch: 84.870[s] Speed: 355.9[samples/s]
2024-05-20 18:11:49 transreid.train INFO: Epoch[57] Iter[20/486] Loss: 0.213, Acc: 0.985, Base Lr: 2.16e-04
2024-05-20 18:11:53 transreid.train INFO: Epoch[57] Iter[40/486] Loss: 0.194, Acc: 0.989, Base Lr: 2.16e-04
2024-05-20 18:11:56 transreid.train INFO: Epoch[57] Iter[60/486] Loss: 0.189, Acc: 0.989, Base Lr: 2.16e-04
2024-05-20 18:11:59 transreid.train INFO: Epoch[57] Iter[80/486] Loss: 0.181, Acc: 0.990, Base Lr: 2.16e-04
2024-05-20 18:12:03 transreid.train INFO: Epoch[57] Iter[100/486] Loss: 0.180, Acc: 0.991, Base Lr: 2.16e-04
2024-05-20 18:12:06 transreid.train INFO: Epoch[57] Iter[120/486] Loss: 0.174, Acc: 0.992, Base Lr: 2.16e-04
2024-05-20 18:12:10 transreid.train INFO: Epoch[57] Iter[140/486] Loss: 0.171, Acc: 0.992, Base Lr: 2.16e-04
2024-05-20 18:12:13 transreid.train INFO: Epoch[57] Iter[160/486] Loss: 0.167, Acc: 0.992, Base Lr: 2.16e-04
2024-05-20 18:12:17 transreid.train INFO: Epoch[57] Iter[180/486] Loss: 0.165, Acc: 0.992, Base Lr: 2.16e-04
2024-05-20 18:12:20 transreid.train INFO: Epoch[57] Iter[200/486] Loss: 0.161, Acc: 0.992, Base Lr: 2.16e-04
2024-05-20 18:12:23 transreid.train INFO: Epoch[57] Iter[220/486] Loss: 0.158, Acc: 0.993, Base Lr: 2.16e-04
2024-05-20 18:12:27 transreid.train INFO: Epoch[57] Iter[240/486] Loss: 0.157, Acc: 0.993, Base Lr: 2.16e-04
2024-05-20 18:12:30 transreid.train INFO: Epoch[57] Iter[260/486] Loss: 0.155, Acc: 0.993, Base Lr: 2.16e-04
2024-05-20 18:12:34 transreid.train INFO: Epoch[57] Iter[280/486] Loss: 0.152, Acc: 0.993, Base Lr: 2.16e-04
2024-05-20 18:12:37 transreid.train INFO: Epoch[57] Iter[300/486] Loss: 0.150, Acc: 0.993, Base Lr: 2.16e-04
2024-05-20 18:12:40 transreid.train INFO: Epoch[57] Iter[320/486] Loss: 0.148, Acc: 0.994, Base Lr: 2.16e-04
2024-05-20 18:12:44 transreid.train INFO: Epoch[57] Iter[340/486] Loss: 0.145, Acc: 0.994, Base Lr: 2.16e-04
2024-05-20 18:12:47 transreid.train INFO: Epoch[57] Iter[360/486] Loss: 0.141, Acc: 0.994, Base Lr: 2.16e-04
2024-05-20 18:12:51 transreid.train INFO: Epoch[57] Iter[380/486] Loss: 0.138, Acc: 0.994, Base Lr: 2.16e-04
2024-05-20 18:12:54 transreid.train INFO: Epoch[57] Iter[400/486] Loss: 0.136, Acc: 0.994, Base Lr: 2.16e-04
2024-05-20 18:12:57 transreid.train INFO: Epoch[57] Iter[420/486] Loss: 0.132, Acc: 0.994, Base Lr: 2.16e-04
2024-05-20 18:13:01 transreid.train INFO: Epoch[57] Iter[440/486] Loss: 0.129, Acc: 0.994, Base Lr: 2.16e-04
2024-05-20 18:13:04 transreid.train INFO: Epoch[57] Iter[460/486] Loss: 0.127, Acc: 0.994, Base Lr: 2.16e-04
2024-05-20 18:13:07 transreid.train INFO: Epoch 57 done. Time per epoch: 84.406[s] Speed: 359.4[samples/s]
2024-05-20 18:13:14 transreid.train INFO: Epoch[58] Iter[20/486] Loss: 0.194, Acc: 0.988, Base Lr: 2.11e-04
2024-05-20 18:13:17 transreid.train INFO: Epoch[58] Iter[40/486] Loss: 0.198, Acc: 0.988, Base Lr: 2.11e-04
2024-05-20 18:13:20 transreid.train INFO: Epoch[58] Iter[60/486] Loss: 0.193, Acc: 0.988, Base Lr: 2.11e-04
2024-05-20 18:13:24 transreid.train INFO: Epoch[58] Iter[80/486] Loss: 0.187, Acc: 0.989, Base Lr: 2.11e-04
2024-05-20 18:13:27 transreid.train INFO: Epoch[58] Iter[100/486] Loss: 0.185, Acc: 0.989, Base Lr: 2.11e-04
2024-05-20 18:13:31 transreid.train INFO: Epoch[58] Iter[120/486] Loss: 0.182, Acc: 0.989, Base Lr: 2.11e-04
2024-05-20 18:13:34 transreid.train INFO: Epoch[58] Iter[140/486] Loss: 0.181, Acc: 0.990, Base Lr: 2.11e-04
2024-05-20 18:13:38 transreid.train INFO: Epoch[58] Iter[160/486] Loss: 0.175, Acc: 0.990, Base Lr: 2.11e-04
2024-05-20 18:13:41 transreid.train INFO: Epoch[58] Iter[180/486] Loss: 0.171, Acc: 0.991, Base Lr: 2.11e-04
2024-05-20 18:13:44 transreid.train INFO: Epoch[58] Iter[200/486] Loss: 0.168, Acc: 0.991, Base Lr: 2.11e-04
2024-05-20 18:13:48 transreid.train INFO: Epoch[58] Iter[220/486] Loss: 0.164, Acc: 0.991, Base Lr: 2.11e-04
2024-05-20 18:13:51 transreid.train INFO: Epoch[58] Iter[240/486] Loss: 0.160, Acc: 0.992, Base Lr: 2.11e-04
2024-05-20 18:13:55 transreid.train INFO: Epoch[58] Iter[260/486] Loss: 0.157, Acc: 0.992, Base Lr: 2.11e-04
2024-05-20 18:13:58 transreid.train INFO: Epoch[58] Iter[280/486] Loss: 0.154, Acc: 0.992, Base Lr: 2.11e-04
2024-05-20 18:14:01 transreid.train INFO: Epoch[58] Iter[300/486] Loss: 0.151, Acc: 0.993, Base Lr: 2.11e-04
2024-05-20 18:14:05 transreid.train INFO: Epoch[58] Iter[320/486] Loss: 0.148, Acc: 0.993, Base Lr: 2.11e-04
2024-05-20 18:14:08 transreid.train INFO: Epoch[58] Iter[340/486] Loss: 0.146, Acc: 0.993, Base Lr: 2.11e-04
2024-05-20 18:14:12 transreid.train INFO: Epoch[58] Iter[360/486] Loss: 0.143, Acc: 0.993, Base Lr: 2.11e-04
2024-05-20 18:14:15 transreid.train INFO: Epoch[58] Iter[380/486] Loss: 0.141, Acc: 0.993, Base Lr: 2.11e-04
2024-05-20 18:14:19 transreid.train INFO: Epoch[58] Iter[400/486] Loss: 0.137, Acc: 0.993, Base Lr: 2.11e-04
2024-05-20 18:14:22 transreid.train INFO: Epoch[58] Iter[420/486] Loss: 0.134, Acc: 0.993, Base Lr: 2.11e-04
2024-05-20 18:14:26 transreid.train INFO: Epoch[58] Iter[440/486] Loss: 0.130, Acc: 0.993, Base Lr: 2.11e-04
2024-05-20 18:14:29 transreid.train INFO: Epoch[58] Iter[460/486] Loss: 0.128, Acc: 0.993, Base Lr: 2.11e-04
2024-05-20 18:14:32 transreid.train INFO: Epoch 58 done. Time per epoch: 84.429[s] Speed: 358.6[samples/s]
2024-05-20 18:14:38 transreid.train INFO: Epoch[59] Iter[20/486] Loss: 0.203, Acc: 0.984, Base Lr: 2.06e-04
2024-05-20 18:14:41 transreid.train INFO: Epoch[59] Iter[40/486] Loss: 0.190, Acc: 0.988, Base Lr: 2.06e-04
2024-05-20 18:14:45 transreid.train INFO: Epoch[59] Iter[60/486] Loss: 0.188, Acc: 0.989, Base Lr: 2.06e-04
2024-05-20 18:14:48 transreid.train INFO: Epoch[59] Iter[80/486] Loss: 0.186, Acc: 0.990, Base Lr: 2.06e-04
2024-05-20 18:14:52 transreid.train INFO: Epoch[59] Iter[100/486] Loss: 0.182, Acc: 0.991, Base Lr: 2.06e-04
2024-05-20 18:14:55 transreid.train INFO: Epoch[59] Iter[120/486] Loss: 0.177, Acc: 0.991, Base Lr: 2.06e-04
2024-05-20 18:14:59 transreid.train INFO: Epoch[59] Iter[140/486] Loss: 0.172, Acc: 0.992, Base Lr: 2.06e-04
2024-05-20 18:15:02 transreid.train INFO: Epoch[59] Iter[160/486] Loss: 0.169, Acc: 0.992, Base Lr: 2.06e-04
2024-05-20 18:15:05 transreid.train INFO: Epoch[59] Iter[180/486] Loss: 0.166, Acc: 0.992, Base Lr: 2.06e-04
2024-05-20 18:15:09 transreid.train INFO: Epoch[59] Iter[200/486] Loss: 0.162, Acc: 0.993, Base Lr: 2.06e-04
2024-05-20 18:15:12 transreid.train INFO: Epoch[59] Iter[220/486] Loss: 0.159, Acc: 0.993, Base Lr: 2.06e-04
2024-05-20 18:15:16 transreid.train INFO: Epoch[59] Iter[240/486] Loss: 0.155, Acc: 0.993, Base Lr: 2.06e-04
2024-05-20 18:15:19 transreid.train INFO: Epoch[59] Iter[260/486] Loss: 0.152, Acc: 0.993, Base Lr: 2.06e-04
2024-05-20 18:15:23 transreid.train INFO: Epoch[59] Iter[280/486] Loss: 0.149, Acc: 0.994, Base Lr: 2.06e-04
2024-05-20 18:15:26 transreid.train INFO: Epoch[59] Iter[300/486] Loss: 0.145, Acc: 0.994, Base Lr: 2.06e-04
2024-05-20 18:15:29 transreid.train INFO: Epoch[59] Iter[320/486] Loss: 0.145, Acc: 0.994, Base Lr: 2.06e-04
2024-05-20 18:15:33 transreid.train INFO: Epoch[59] Iter[340/486] Loss: 0.142, Acc: 0.993, Base Lr: 2.06e-04
2024-05-20 18:15:36 transreid.train INFO: Epoch[59] Iter[360/486] Loss: 0.140, Acc: 0.993, Base Lr: 2.06e-04
2024-05-20 18:15:40 transreid.train INFO: Epoch[59] Iter[380/486] Loss: 0.136, Acc: 0.994, Base Lr: 2.06e-04
2024-05-20 18:15:43 transreid.train INFO: Epoch[59] Iter[400/486] Loss: 0.134, Acc: 0.994, Base Lr: 2.06e-04
2024-05-20 18:15:46 transreid.train INFO: Epoch[59] Iter[420/486] Loss: 0.131, Acc: 0.994, Base Lr: 2.06e-04
2024-05-20 18:15:50 transreid.train INFO: Epoch[59] Iter[440/486] Loss: 0.128, Acc: 0.994, Base Lr: 2.06e-04
2024-05-20 18:15:53 transreid.train INFO: Epoch[59] Iter[460/486] Loss: 0.124, Acc: 0.994, Base Lr: 2.06e-04
2024-05-20 18:15:56 transreid.train INFO: Epoch 59 done. Time per epoch: 84.727[s] Speed: 358.8[samples/s]
2024-05-20 18:16:03 transreid.train INFO: Epoch[60] Iter[20/486] Loss: 0.191, Acc: 0.988, Base Lr: 2.00e-04
2024-05-20 18:16:06 transreid.train INFO: Epoch[60] Iter[40/486] Loss: 0.187, Acc: 0.989, Base Lr: 2.00e-04
2024-05-20 18:16:10 transreid.train INFO: Epoch[60] Iter[60/486] Loss: 0.184, Acc: 0.990, Base Lr: 2.00e-04
2024-05-20 18:16:13 transreid.train INFO: Epoch[60] Iter[80/486] Loss: 0.185, Acc: 0.989, Base Lr: 2.00e-04
2024-05-20 18:16:16 transreid.train INFO: Epoch[60] Iter[100/486] Loss: 0.177, Acc: 0.990, Base Lr: 2.00e-04
2024-05-20 18:16:20 transreid.train INFO: Epoch[60] Iter[120/486] Loss: 0.171, Acc: 0.991, Base Lr: 2.00e-04
2024-05-20 18:16:23 transreid.train INFO: Epoch[60] Iter[140/486] Loss: 0.164, Acc: 0.991, Base Lr: 2.00e-04
2024-05-20 18:16:27 transreid.train INFO: Epoch[60] Iter[160/486] Loss: 0.163, Acc: 0.991, Base Lr: 2.00e-04
2024-05-20 18:16:30 transreid.train INFO: Epoch[60] Iter[180/486] Loss: 0.160, Acc: 0.991, Base Lr: 2.00e-04
2024-05-20 18:16:33 transreid.train INFO: Epoch[60] Iter[200/486] Loss: 0.158, Acc: 0.991, Base Lr: 2.00e-04
2024-05-20 18:16:37 transreid.train INFO: Epoch[60] Iter[220/486] Loss: 0.155, Acc: 0.992, Base Lr: 2.00e-04
2024-05-20 18:16:40 transreid.train INFO: Epoch[60] Iter[240/486] Loss: 0.152, Acc: 0.992, Base Lr: 2.00e-04
2024-05-20 18:16:44 transreid.train INFO: Epoch[60] Iter[260/486] Loss: 0.149, Acc: 0.992, Base Lr: 2.00e-04
2024-05-20 18:16:47 transreid.train INFO: Epoch[60] Iter[280/486] Loss: 0.145, Acc: 0.993, Base Lr: 2.00e-04
2024-05-20 18:16:51 transreid.train INFO: Epoch[60] Iter[300/486] Loss: 0.144, Acc: 0.993, Base Lr: 2.00e-04
2024-05-20 18:16:54 transreid.train INFO: Epoch[60] Iter[320/486] Loss: 0.140, Acc: 0.993, Base Lr: 2.00e-04
2024-05-20 18:16:57 transreid.train INFO: Epoch[60] Iter[340/486] Loss: 0.138, Acc: 0.993, Base Lr: 2.00e-04
2024-05-20 18:17:01 transreid.train INFO: Epoch[60] Iter[360/486] Loss: 0.136, Acc: 0.993, Base Lr: 2.00e-04
2024-05-20 18:17:04 transreid.train INFO: Epoch[60] Iter[380/486] Loss: 0.132, Acc: 0.994, Base Lr: 2.00e-04
2024-05-20 18:17:08 transreid.train INFO: Epoch[60] Iter[400/486] Loss: 0.129, Acc: 0.994, Base Lr: 2.00e-04
2024-05-20 18:17:11 transreid.train INFO: Epoch[60] Iter[420/486] Loss: 0.126, Acc: 0.994, Base Lr: 2.00e-04
2024-05-20 18:17:15 transreid.train INFO: Epoch[60] Iter[440/486] Loss: 0.124, Acc: 0.994, Base Lr: 2.00e-04
2024-05-20 18:17:18 transreid.train INFO: Epoch[60] Iter[460/486] Loss: 0.121, Acc: 0.994, Base Lr: 2.00e-04
2024-05-20 18:17:20 transreid.train INFO: Epoch 60 done. Time per epoch: 84.075[s] Speed: 359.3[samples/s]
2024-05-20 18:20:47 transreid.train INFO: Validation Results - Epoch: 60
2024-05-20 18:20:47 transreid.train INFO: mAP: 68.1%
2024-05-20 18:20:47 transreid.train INFO: CMC curve, Rank-1  :87.0%
2024-05-20 18:20:47 transreid.train INFO: CMC curve, Rank-5  :93.3%
2024-05-20 18:20:47 transreid.train INFO: CMC curve, Rank-10 :94.7%
2024-05-20 18:20:54 transreid.train INFO: Epoch[61] Iter[20/486] Loss: 0.168, Acc: 0.992, Base Lr: 1.95e-04
2024-05-20 18:20:57 transreid.train INFO: Epoch[61] Iter[40/486] Loss: 0.166, Acc: 0.992, Base Lr: 1.95e-04
2024-05-20 18:21:01 transreid.train INFO: Epoch[61] Iter[60/486] Loss: 0.163, Acc: 0.991, Base Lr: 1.95e-04
2024-05-20 18:21:04 transreid.train INFO: Epoch[61] Iter[80/486] Loss: 0.160, Acc: 0.991, Base Lr: 1.95e-04
2024-05-20 18:21:07 transreid.train INFO: Epoch[61] Iter[100/486] Loss: 0.157, Acc: 0.992, Base Lr: 1.95e-04
2024-05-20 18:21:11 transreid.train INFO: Epoch[61] Iter[120/486] Loss: 0.157, Acc: 0.992, Base Lr: 1.95e-04
2024-05-20 18:21:14 transreid.train INFO: Epoch[61] Iter[140/486] Loss: 0.151, Acc: 0.992, Base Lr: 1.95e-04
2024-05-20 18:21:17 transreid.train INFO: Epoch[61] Iter[160/486] Loss: 0.150, Acc: 0.993, Base Lr: 1.95e-04
2024-05-20 18:21:21 transreid.train INFO: Epoch[61] Iter[180/486] Loss: 0.149, Acc: 0.993, Base Lr: 1.95e-04
2024-05-20 18:21:24 transreid.train INFO: Epoch[61] Iter[200/486] Loss: 0.147, Acc: 0.993, Base Lr: 1.95e-04
2024-05-20 18:21:27 transreid.train INFO: Epoch[61] Iter[220/486] Loss: 0.145, Acc: 0.993, Base Lr: 1.95e-04
2024-05-20 18:21:31 transreid.train INFO: Epoch[61] Iter[240/486] Loss: 0.143, Acc: 0.994, Base Lr: 1.95e-04
2024-05-20 18:21:34 transreid.train INFO: Epoch[61] Iter[260/486] Loss: 0.140, Acc: 0.994, Base Lr: 1.95e-04
2024-05-20 18:21:38 transreid.train INFO: Epoch[61] Iter[280/486] Loss: 0.138, Acc: 0.994, Base Lr: 1.95e-04
2024-05-20 18:21:41 transreid.train INFO: Epoch[61] Iter[300/486] Loss: 0.136, Acc: 0.994, Base Lr: 1.95e-04
2024-05-20 18:21:44 transreid.train INFO: Epoch[61] Iter[320/486] Loss: 0.133, Acc: 0.994, Base Lr: 1.95e-04
2024-05-20 18:21:48 transreid.train INFO: Epoch[61] Iter[340/486] Loss: 0.130, Acc: 0.994, Base Lr: 1.95e-04
2024-05-20 18:21:51 transreid.train INFO: Epoch[61] Iter[360/486] Loss: 0.127, Acc: 0.995, Base Lr: 1.95e-04
2024-05-20 18:21:55 transreid.train INFO: Epoch[61] Iter[380/486] Loss: 0.125, Acc: 0.995, Base Lr: 1.95e-04
2024-05-20 18:21:58 transreid.train INFO: Epoch[61] Iter[400/486] Loss: 0.123, Acc: 0.994, Base Lr: 1.95e-04
2024-05-20 18:22:01 transreid.train INFO: Epoch[61] Iter[420/486] Loss: 0.120, Acc: 0.995, Base Lr: 1.95e-04
2024-05-20 18:22:05 transreid.train INFO: Epoch[61] Iter[440/486] Loss: 0.118, Acc: 0.995, Base Lr: 1.95e-04
2024-05-20 18:22:08 transreid.train INFO: Epoch[61] Iter[460/486] Loss: 0.115, Acc: 0.995, Base Lr: 1.95e-04
2024-05-20 18:22:11 transreid.train INFO: Epoch 61 done. Time per epoch: 84.175[s] Speed: 360.4[samples/s]
2024-05-20 18:22:18 transreid.train INFO: Epoch[62] Iter[20/486] Loss: 0.154, Acc: 0.994, Base Lr: 1.90e-04
2024-05-20 18:22:21 transreid.train INFO: Epoch[62] Iter[40/486] Loss: 0.162, Acc: 0.992, Base Lr: 1.90e-04
2024-05-20 18:22:24 transreid.train INFO: Epoch[62] Iter[60/486] Loss: 0.152, Acc: 0.993, Base Lr: 1.90e-04
2024-05-20 18:22:28 transreid.train INFO: Epoch[62] Iter[80/486] Loss: 0.159, Acc: 0.992, Base Lr: 1.90e-04
2024-05-20 18:22:31 transreid.train INFO: Epoch[62] Iter[100/486] Loss: 0.154, Acc: 0.992, Base Lr: 1.90e-04
2024-05-20 18:22:34 transreid.train INFO: Epoch[62] Iter[120/486] Loss: 0.152, Acc: 0.993, Base Lr: 1.90e-04
2024-05-20 18:22:38 transreid.train INFO: Epoch[62] Iter[140/486] Loss: 0.151, Acc: 0.993, Base Lr: 1.90e-04
2024-05-20 18:22:41 transreid.train INFO: Epoch[62] Iter[160/486] Loss: 0.152, Acc: 0.993, Base Lr: 1.90e-04
2024-05-20 18:22:45 transreid.train INFO: Epoch[62] Iter[180/486] Loss: 0.148, Acc: 0.993, Base Lr: 1.90e-04
2024-05-20 18:22:48 transreid.train INFO: Epoch[62] Iter[200/486] Loss: 0.144, Acc: 0.993, Base Lr: 1.90e-04
2024-05-20 18:22:51 transreid.train INFO: Epoch[62] Iter[220/486] Loss: 0.142, Acc: 0.993, Base Lr: 1.90e-04
2024-05-20 18:22:55 transreid.train INFO: Epoch[62] Iter[240/486] Loss: 0.140, Acc: 0.993, Base Lr: 1.90e-04
2024-05-20 18:22:58 transreid.train INFO: Epoch[62] Iter[260/486] Loss: 0.138, Acc: 0.993, Base Lr: 1.90e-04
2024-05-20 18:23:02 transreid.train INFO: Epoch[62] Iter[280/486] Loss: 0.134, Acc: 0.994, Base Lr: 1.90e-04
2024-05-20 18:23:05 transreid.train INFO: Epoch[62] Iter[300/486] Loss: 0.133, Acc: 0.994, Base Lr: 1.90e-04
2024-05-20 18:23:09 transreid.train INFO: Epoch[62] Iter[320/486] Loss: 0.130, Acc: 0.994, Base Lr: 1.90e-04
2024-05-20 18:23:12 transreid.train INFO: Epoch[62] Iter[340/486] Loss: 0.128, Acc: 0.994, Base Lr: 1.90e-04
2024-05-20 18:23:15 transreid.train INFO: Epoch[62] Iter[360/486] Loss: 0.126, Acc: 0.994, Base Lr: 1.90e-04
2024-05-20 18:23:19 transreid.train INFO: Epoch[62] Iter[380/486] Loss: 0.124, Acc: 0.994, Base Lr: 1.90e-04
2024-05-20 18:23:22 transreid.train INFO: Epoch[62] Iter[400/486] Loss: 0.122, Acc: 0.994, Base Lr: 1.90e-04
2024-05-20 18:23:26 transreid.train INFO: Epoch[62] Iter[420/486] Loss: 0.120, Acc: 0.994, Base Lr: 1.90e-04
2024-05-20 18:23:29 transreid.train INFO: Epoch[62] Iter[440/486] Loss: 0.117, Acc: 0.994, Base Lr: 1.90e-04
2024-05-20 18:23:32 transreid.train INFO: Epoch[62] Iter[460/486] Loss: 0.114, Acc: 0.994, Base Lr: 1.90e-04
2024-05-20 18:23:35 transreid.train INFO: Epoch 62 done. Time per epoch: 83.786[s] Speed: 359.8[samples/s]
2024-05-20 18:23:43 transreid.train INFO: Epoch[63] Iter[20/486] Loss: 0.163, Acc: 0.989, Base Lr: 1.85e-04
2024-05-20 18:23:46 transreid.train INFO: Epoch[63] Iter[40/486] Loss: 0.166, Acc: 0.991, Base Lr: 1.85e-04
2024-05-20 18:23:50 transreid.train INFO: Epoch[63] Iter[60/486] Loss: 0.173, Acc: 0.990, Base Lr: 1.85e-04
2024-05-20 18:23:53 transreid.train INFO: Epoch[63] Iter[80/486] Loss: 0.161, Acc: 0.991, Base Lr: 1.85e-04
2024-05-20 18:23:56 transreid.train INFO: Epoch[63] Iter[100/486] Loss: 0.157, Acc: 0.992, Base Lr: 1.85e-04
2024-05-20 18:24:00 transreid.train INFO: Epoch[63] Iter[120/486] Loss: 0.150, Acc: 0.992, Base Lr: 1.85e-04
2024-05-20 18:24:03 transreid.train INFO: Epoch[63] Iter[140/486] Loss: 0.148, Acc: 0.993, Base Lr: 1.85e-04
2024-05-20 18:24:07 transreid.train INFO: Epoch[63] Iter[160/486] Loss: 0.147, Acc: 0.993, Base Lr: 1.85e-04
2024-05-20 18:24:10 transreid.train INFO: Epoch[63] Iter[180/486] Loss: 0.145, Acc: 0.993, Base Lr: 1.85e-04
2024-05-20 18:24:13 transreid.train INFO: Epoch[63] Iter[200/486] Loss: 0.143, Acc: 0.993, Base Lr: 1.85e-04
2024-05-20 18:24:17 transreid.train INFO: Epoch[63] Iter[220/486] Loss: 0.139, Acc: 0.994, Base Lr: 1.85e-04
2024-05-20 18:24:20 transreid.train INFO: Epoch[63] Iter[240/486] Loss: 0.137, Acc: 0.994, Base Lr: 1.85e-04
2024-05-20 18:24:24 transreid.train INFO: Epoch[63] Iter[260/486] Loss: 0.134, Acc: 0.994, Base Lr: 1.85e-04
2024-05-20 18:24:27 transreid.train INFO: Epoch[63] Iter[280/486] Loss: 0.132, Acc: 0.994, Base Lr: 1.85e-04
2024-05-20 18:24:30 transreid.train INFO: Epoch[63] Iter[300/486] Loss: 0.130, Acc: 0.994, Base Lr: 1.85e-04
2024-05-20 18:24:34 transreid.train INFO: Epoch[63] Iter[320/486] Loss: 0.128, Acc: 0.994, Base Lr: 1.85e-04
2024-05-20 18:24:37 transreid.train INFO: Epoch[63] Iter[340/486] Loss: 0.126, Acc: 0.994, Base Lr: 1.85e-04
2024-05-20 18:24:41 transreid.train INFO: Epoch[63] Iter[360/486] Loss: 0.123, Acc: 0.995, Base Lr: 1.85e-04
2024-05-20 18:24:44 transreid.train INFO: Epoch[63] Iter[380/486] Loss: 0.121, Acc: 0.994, Base Lr: 1.85e-04
2024-05-20 18:24:48 transreid.train INFO: Epoch[63] Iter[400/486] Loss: 0.119, Acc: 0.995, Base Lr: 1.85e-04
2024-05-20 18:24:51 transreid.train INFO: Epoch[63] Iter[420/486] Loss: 0.117, Acc: 0.995, Base Lr: 1.85e-04
2024-05-20 18:24:54 transreid.train INFO: Epoch[63] Iter[440/486] Loss: 0.114, Acc: 0.995, Base Lr: 1.85e-04
2024-05-20 18:24:58 transreid.train INFO: Epoch[63] Iter[460/486] Loss: 0.112, Acc: 0.995, Base Lr: 1.85e-04
2024-05-20 18:25:01 transreid.train INFO: Epoch 63 done. Time per epoch: 85.874[s] Speed: 353.3[samples/s]
2024-05-20 18:25:08 transreid.train INFO: Epoch[64] Iter[20/486] Loss: 0.183, Acc: 0.986, Base Lr: 1.80e-04
2024-05-20 18:25:11 transreid.train INFO: Epoch[64] Iter[40/486] Loss: 0.158, Acc: 0.990, Base Lr: 1.80e-04
2024-05-20 18:25:14 transreid.train INFO: Epoch[64] Iter[60/486] Loss: 0.153, Acc: 0.991, Base Lr: 1.80e-04
2024-05-20 18:25:18 transreid.train INFO: Epoch[64] Iter[80/486] Loss: 0.151, Acc: 0.991, Base Lr: 1.80e-04
2024-05-20 18:25:21 transreid.train INFO: Epoch[64] Iter[100/486] Loss: 0.153, Acc: 0.991, Base Lr: 1.80e-04
2024-05-20 18:25:25 transreid.train INFO: Epoch[64] Iter[120/486] Loss: 0.151, Acc: 0.991, Base Lr: 1.80e-04
2024-05-20 18:25:28 transreid.train INFO: Epoch[64] Iter[140/486] Loss: 0.146, Acc: 0.992, Base Lr: 1.80e-04
2024-05-20 18:25:31 transreid.train INFO: Epoch[64] Iter[160/486] Loss: 0.144, Acc: 0.992, Base Lr: 1.80e-04
2024-05-20 18:25:35 transreid.train INFO: Epoch[64] Iter[180/486] Loss: 0.141, Acc: 0.993, Base Lr: 1.80e-04
2024-05-20 18:25:38 transreid.train INFO: Epoch[64] Iter[200/486] Loss: 0.138, Acc: 0.993, Base Lr: 1.80e-04
2024-05-20 18:25:41 transreid.train INFO: Epoch[64] Iter[220/486] Loss: 0.136, Acc: 0.993, Base Lr: 1.80e-04
2024-05-20 18:25:45 transreid.train INFO: Epoch[64] Iter[240/486] Loss: 0.134, Acc: 0.993, Base Lr: 1.80e-04
2024-05-20 18:25:48 transreid.train INFO: Epoch[64] Iter[260/486] Loss: 0.132, Acc: 0.993, Base Lr: 1.80e-04
2024-05-20 18:25:52 transreid.train INFO: Epoch[64] Iter[280/486] Loss: 0.129, Acc: 0.994, Base Lr: 1.80e-04
2024-05-20 18:25:55 transreid.train INFO: Epoch[64] Iter[300/486] Loss: 0.127, Acc: 0.994, Base Lr: 1.80e-04
2024-05-20 18:25:58 transreid.train INFO: Epoch[64] Iter[320/486] Loss: 0.126, Acc: 0.994, Base Lr: 1.80e-04
2024-05-20 18:26:02 transreid.train INFO: Epoch[64] Iter[340/486] Loss: 0.123, Acc: 0.994, Base Lr: 1.80e-04
2024-05-20 18:26:05 transreid.train INFO: Epoch[64] Iter[360/486] Loss: 0.121, Acc: 0.994, Base Lr: 1.80e-04
2024-05-20 18:26:08 transreid.train INFO: Epoch[64] Iter[380/486] Loss: 0.119, Acc: 0.994, Base Lr: 1.80e-04
2024-05-20 18:26:12 transreid.train INFO: Epoch[64] Iter[400/486] Loss: 0.116, Acc: 0.994, Base Lr: 1.80e-04
2024-05-20 18:26:15 transreid.train INFO: Epoch[64] Iter[420/486] Loss: 0.114, Acc: 0.994, Base Lr: 1.80e-04
2024-05-20 18:26:19 transreid.train INFO: Epoch[64] Iter[440/486] Loss: 0.111, Acc: 0.994, Base Lr: 1.80e-04
2024-05-20 18:26:22 transreid.train INFO: Epoch[64] Iter[460/486] Loss: 0.109, Acc: 0.994, Base Lr: 1.80e-04
2024-05-20 18:26:25 transreid.train INFO: Epoch 64 done. Time per epoch: 84.244[s] Speed: 360.1[samples/s]
2024-05-20 18:26:32 transreid.train INFO: Epoch[65] Iter[20/486] Loss: 0.137, Acc: 0.998, Base Lr: 1.74e-04
2024-05-20 18:26:35 transreid.train INFO: Epoch[65] Iter[40/486] Loss: 0.163, Acc: 0.993, Base Lr: 1.74e-04
2024-05-20 18:26:39 transreid.train INFO: Epoch[65] Iter[60/486] Loss: 0.156, Acc: 0.994, Base Lr: 1.74e-04
2024-05-20 18:26:42 transreid.train INFO: Epoch[65] Iter[80/486] Loss: 0.156, Acc: 0.994, Base Lr: 1.74e-04
2024-05-20 18:26:45 transreid.train INFO: Epoch[65] Iter[100/486] Loss: 0.148, Acc: 0.994, Base Lr: 1.74e-04
2024-05-20 18:26:49 transreid.train INFO: Epoch[65] Iter[120/486] Loss: 0.144, Acc: 0.994, Base Lr: 1.74e-04
2024-05-20 18:26:52 transreid.train INFO: Epoch[65] Iter[140/486] Loss: 0.141, Acc: 0.994, Base Lr: 1.74e-04
2024-05-20 18:26:56 transreid.train INFO: Epoch[65] Iter[160/486] Loss: 0.140, Acc: 0.994, Base Lr: 1.74e-04
2024-05-20 18:26:59 transreid.train INFO: Epoch[65] Iter[180/486] Loss: 0.138, Acc: 0.993, Base Lr: 1.74e-04
2024-05-20 18:27:02 transreid.train INFO: Epoch[65] Iter[200/486] Loss: 0.137, Acc: 0.993, Base Lr: 1.74e-04
2024-05-20 18:27:06 transreid.train INFO: Epoch[65] Iter[220/486] Loss: 0.134, Acc: 0.993, Base Lr: 1.74e-04
2024-05-20 18:27:09 transreid.train INFO: Epoch[65] Iter[240/486] Loss: 0.131, Acc: 0.994, Base Lr: 1.74e-04
2024-05-20 18:27:13 transreid.train INFO: Epoch[65] Iter[260/486] Loss: 0.128, Acc: 0.994, Base Lr: 1.74e-04
2024-05-20 18:27:16 transreid.train INFO: Epoch[65] Iter[280/486] Loss: 0.125, Acc: 0.994, Base Lr: 1.74e-04
2024-05-20 18:27:19 transreid.train INFO: Epoch[65] Iter[300/486] Loss: 0.123, Acc: 0.994, Base Lr: 1.74e-04
2024-05-20 18:27:23 transreid.train INFO: Epoch[65] Iter[320/486] Loss: 0.120, Acc: 0.994, Base Lr: 1.74e-04
2024-05-20 18:27:26 transreid.train INFO: Epoch[65] Iter[340/486] Loss: 0.118, Acc: 0.994, Base Lr: 1.74e-04
2024-05-20 18:27:29 transreid.train INFO: Epoch[65] Iter[360/486] Loss: 0.115, Acc: 0.994, Base Lr: 1.74e-04
2024-05-20 18:27:33 transreid.train INFO: Epoch[65] Iter[380/486] Loss: 0.113, Acc: 0.995, Base Lr: 1.74e-04
2024-05-20 18:27:36 transreid.train INFO: Epoch[65] Iter[400/486] Loss: 0.111, Acc: 0.995, Base Lr: 1.74e-04
2024-05-20 18:27:40 transreid.train INFO: Epoch[65] Iter[420/486] Loss: 0.109, Acc: 0.995, Base Lr: 1.74e-04
2024-05-20 18:27:43 transreid.train INFO: Epoch[65] Iter[440/486] Loss: 0.106, Acc: 0.995, Base Lr: 1.74e-04
2024-05-20 18:27:46 transreid.train INFO: Epoch[65] Iter[460/486] Loss: 0.104, Acc: 0.995, Base Lr: 1.74e-04
2024-05-20 18:27:49 transreid.train INFO: Epoch 65 done. Time per epoch: 84.279[s] Speed: 359.2[samples/s]
2024-05-20 18:27:56 transreid.train INFO: Epoch[66] Iter[20/486] Loss: 0.178, Acc: 0.992, Base Lr: 1.69e-04
2024-05-20 18:28:00 transreid.train INFO: Epoch[66] Iter[40/486] Loss: 0.174, Acc: 0.992, Base Lr: 1.69e-04
2024-05-20 18:28:03 transreid.train INFO: Epoch[66] Iter[60/486] Loss: 0.162, Acc: 0.993, Base Lr: 1.69e-04
2024-05-20 18:28:07 transreid.train INFO: Epoch[66] Iter[80/486] Loss: 0.158, Acc: 0.994, Base Lr: 1.69e-04
2024-05-20 18:28:10 transreid.train INFO: Epoch[66] Iter[100/486] Loss: 0.154, Acc: 0.994, Base Lr: 1.69e-04
2024-05-20 18:28:13 transreid.train INFO: Epoch[66] Iter[120/486] Loss: 0.149, Acc: 0.994, Base Lr: 1.69e-04
2024-05-20 18:28:17 transreid.train INFO: Epoch[66] Iter[140/486] Loss: 0.146, Acc: 0.993, Base Lr: 1.69e-04
2024-05-20 18:28:20 transreid.train INFO: Epoch[66] Iter[160/486] Loss: 0.144, Acc: 0.993, Base Lr: 1.69e-04
2024-05-20 18:28:23 transreid.train INFO: Epoch[66] Iter[180/486] Loss: 0.141, Acc: 0.993, Base Lr: 1.69e-04
2024-05-20 18:28:27 transreid.train INFO: Epoch[66] Iter[200/486] Loss: 0.137, Acc: 0.994, Base Lr: 1.69e-04
2024-05-20 18:28:30 transreid.train INFO: Epoch[66] Iter[220/486] Loss: 0.137, Acc: 0.994, Base Lr: 1.69e-04
2024-05-20 18:28:34 transreid.train INFO: Epoch[66] Iter[240/486] Loss: 0.135, Acc: 0.994, Base Lr: 1.69e-04
2024-05-20 18:28:37 transreid.train INFO: Epoch[66] Iter[260/486] Loss: 0.133, Acc: 0.994, Base Lr: 1.69e-04
2024-05-20 18:28:40 transreid.train INFO: Epoch[66] Iter[280/486] Loss: 0.130, Acc: 0.994, Base Lr: 1.69e-04
2024-05-20 18:28:44 transreid.train INFO: Epoch[66] Iter[300/486] Loss: 0.128, Acc: 0.994, Base Lr: 1.69e-04
2024-05-20 18:28:47 transreid.train INFO: Epoch[66] Iter[320/486] Loss: 0.125, Acc: 0.994, Base Lr: 1.69e-04
2024-05-20 18:28:51 transreid.train INFO: Epoch[66] Iter[340/486] Loss: 0.122, Acc: 0.995, Base Lr: 1.69e-04
2024-05-20 18:28:54 transreid.train INFO: Epoch[66] Iter[360/486] Loss: 0.119, Acc: 0.995, Base Lr: 1.69e-04
2024-05-20 18:28:58 transreid.train INFO: Epoch[66] Iter[380/486] Loss: 0.116, Acc: 0.995, Base Lr: 1.69e-04
2024-05-20 18:29:01 transreid.train INFO: Epoch[66] Iter[400/486] Loss: 0.114, Acc: 0.995, Base Lr: 1.69e-04
2024-05-20 18:29:04 transreid.train INFO: Epoch[66] Iter[420/486] Loss: 0.111, Acc: 0.995, Base Lr: 1.69e-04
2024-05-20 18:29:08 transreid.train INFO: Epoch[66] Iter[440/486] Loss: 0.109, Acc: 0.995, Base Lr: 1.69e-04
2024-05-20 18:29:11 transreid.train INFO: Epoch[66] Iter[460/486] Loss: 0.106, Acc: 0.995, Base Lr: 1.69e-04
2024-05-20 18:29:14 transreid.train INFO: Epoch 66 done. Time per epoch: 84.920[s] Speed: 357.2[samples/s]
2024-05-20 18:29:21 transreid.train INFO: Epoch[67] Iter[20/486] Loss: 0.142, Acc: 0.998, Base Lr: 1.64e-04
2024-05-20 18:29:24 transreid.train INFO: Epoch[67] Iter[40/486] Loss: 0.150, Acc: 0.996, Base Lr: 1.64e-04
2024-05-20 18:29:28 transreid.train INFO: Epoch[67] Iter[60/486] Loss: 0.149, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:29:31 transreid.train INFO: Epoch[67] Iter[80/486] Loss: 0.141, Acc: 0.996, Base Lr: 1.64e-04
2024-05-20 18:29:34 transreid.train INFO: Epoch[67] Iter[100/486] Loss: 0.139, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:29:38 transreid.train INFO: Epoch[67] Iter[120/486] Loss: 0.138, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:29:41 transreid.train INFO: Epoch[67] Iter[140/486] Loss: 0.135, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:29:45 transreid.train INFO: Epoch[67] Iter[160/486] Loss: 0.133, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:29:48 transreid.train INFO: Epoch[67] Iter[180/486] Loss: 0.129, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:29:51 transreid.train INFO: Epoch[67] Iter[200/486] Loss: 0.128, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:29:55 transreid.train INFO: Epoch[67] Iter[220/486] Loss: 0.126, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:29:58 transreid.train INFO: Epoch[67] Iter[240/486] Loss: 0.124, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:30:02 transreid.train INFO: Epoch[67] Iter[260/486] Loss: 0.123, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:30:05 transreid.train INFO: Epoch[67] Iter[280/486] Loss: 0.121, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:30:08 transreid.train INFO: Epoch[67] Iter[300/486] Loss: 0.118, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:30:12 transreid.train INFO: Epoch[67] Iter[320/486] Loss: 0.117, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:30:15 transreid.train INFO: Epoch[67] Iter[340/486] Loss: 0.115, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:30:19 transreid.train INFO: Epoch[67] Iter[360/486] Loss: 0.113, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:30:22 transreid.train INFO: Epoch[67] Iter[380/486] Loss: 0.111, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:30:25 transreid.train INFO: Epoch[67] Iter[400/486] Loss: 0.108, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:30:29 transreid.train INFO: Epoch[67] Iter[420/486] Loss: 0.106, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:30:32 transreid.train INFO: Epoch[67] Iter[440/486] Loss: 0.104, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:30:36 transreid.train INFO: Epoch[67] Iter[460/486] Loss: 0.101, Acc: 0.995, Base Lr: 1.64e-04
2024-05-20 18:30:39 transreid.train INFO: Epoch 67 done. Time per epoch: 84.584[s] Speed: 358.7[samples/s]
2024-05-20 18:30:46 transreid.train INFO: Epoch[68] Iter[20/486] Loss: 0.164, Acc: 0.989, Base Lr: 1.59e-04
2024-05-20 18:30:49 transreid.train INFO: Epoch[68] Iter[40/486] Loss: 0.149, Acc: 0.993, Base Lr: 1.59e-04
2024-05-20 18:30:52 transreid.train INFO: Epoch[68] Iter[60/486] Loss: 0.146, Acc: 0.993, Base Lr: 1.59e-04
2024-05-20 18:30:56 transreid.train INFO: Epoch[68] Iter[80/486] Loss: 0.149, Acc: 0.992, Base Lr: 1.59e-04
2024-05-20 18:30:59 transreid.train INFO: Epoch[68] Iter[100/486] Loss: 0.146, Acc: 0.993, Base Lr: 1.59e-04
2024-05-20 18:31:03 transreid.train INFO: Epoch[68] Iter[120/486] Loss: 0.140, Acc: 0.993, Base Lr: 1.59e-04
2024-05-20 18:31:06 transreid.train INFO: Epoch[68] Iter[140/486] Loss: 0.137, Acc: 0.994, Base Lr: 1.59e-04
2024-05-20 18:31:09 transreid.train INFO: Epoch[68] Iter[160/486] Loss: 0.134, Acc: 0.994, Base Lr: 1.59e-04
2024-05-20 18:31:13 transreid.train INFO: Epoch[68] Iter[180/486] Loss: 0.132, Acc: 0.994, Base Lr: 1.59e-04
2024-05-20 18:31:16 transreid.train INFO: Epoch[68] Iter[200/486] Loss: 0.128, Acc: 0.994, Base Lr: 1.59e-04
2024-05-20 18:31:20 transreid.train INFO: Epoch[68] Iter[220/486] Loss: 0.125, Acc: 0.995, Base Lr: 1.59e-04
2024-05-20 18:31:23 transreid.train INFO: Epoch[68] Iter[240/486] Loss: 0.123, Acc: 0.994, Base Lr: 1.59e-04
2024-05-20 18:31:27 transreid.train INFO: Epoch[68] Iter[260/486] Loss: 0.121, Acc: 0.995, Base Lr: 1.59e-04
2024-05-20 18:31:30 transreid.train INFO: Epoch[68] Iter[280/486] Loss: 0.119, Acc: 0.995, Base Lr: 1.59e-04
2024-05-20 18:31:33 transreid.train INFO: Epoch[68] Iter[300/486] Loss: 0.116, Acc: 0.995, Base Lr: 1.59e-04
2024-05-20 18:31:37 transreid.train INFO: Epoch[68] Iter[320/486] Loss: 0.116, Acc: 0.995, Base Lr: 1.59e-04
2024-05-20 18:31:40 transreid.train INFO: Epoch[68] Iter[340/486] Loss: 0.113, Acc: 0.995, Base Lr: 1.59e-04
2024-05-20 18:31:44 transreid.train INFO: Epoch[68] Iter[360/486] Loss: 0.110, Acc: 0.995, Base Lr: 1.59e-04
2024-05-20 18:31:47 transreid.train INFO: Epoch[68] Iter[380/486] Loss: 0.108, Acc: 0.995, Base Lr: 1.59e-04
2024-05-20 18:31:50 transreid.train INFO: Epoch[68] Iter[400/486] Loss: 0.107, Acc: 0.995, Base Lr: 1.59e-04
2024-05-20 18:31:54 transreid.train INFO: Epoch[68] Iter[420/486] Loss: 0.104, Acc: 0.995, Base Lr: 1.59e-04
2024-05-20 18:31:57 transreid.train INFO: Epoch[68] Iter[440/486] Loss: 0.101, Acc: 0.995, Base Lr: 1.59e-04
2024-05-20 18:32:01 transreid.train INFO: Epoch[68] Iter[460/486] Loss: 0.100, Acc: 0.995, Base Lr: 1.59e-04
2024-05-20 18:32:03 transreid.train INFO: Epoch 68 done. Time per epoch: 84.850[s] Speed: 356.8[samples/s]
2024-05-20 18:32:11 transreid.train INFO: Epoch[69] Iter[20/486] Loss: 0.149, Acc: 0.991, Base Lr: 1.54e-04
2024-05-20 18:32:14 transreid.train INFO: Epoch[69] Iter[40/486] Loss: 0.149, Acc: 0.991, Base Lr: 1.54e-04
2024-05-20 18:32:18 transreid.train INFO: Epoch[69] Iter[60/486] Loss: 0.141, Acc: 0.993, Base Lr: 1.54e-04
2024-05-20 18:32:21 transreid.train INFO: Epoch[69] Iter[80/486] Loss: 0.142, Acc: 0.993, Base Lr: 1.54e-04
2024-05-20 18:32:25 transreid.train INFO: Epoch[69] Iter[100/486] Loss: 0.143, Acc: 0.993, Base Lr: 1.54e-04
2024-05-20 18:32:28 transreid.train INFO: Epoch[69] Iter[120/486] Loss: 0.137, Acc: 0.994, Base Lr: 1.54e-04
2024-05-20 18:32:31 transreid.train INFO: Epoch[69] Iter[140/486] Loss: 0.136, Acc: 0.994, Base Lr: 1.54e-04
2024-05-20 18:32:35 transreid.train INFO: Epoch[69] Iter[160/486] Loss: 0.132, Acc: 0.994, Base Lr: 1.54e-04
2024-05-20 18:32:38 transreid.train INFO: Epoch[69] Iter[180/486] Loss: 0.130, Acc: 0.994, Base Lr: 1.54e-04
2024-05-20 18:32:42 transreid.train INFO: Epoch[69] Iter[200/486] Loss: 0.129, Acc: 0.994, Base Lr: 1.54e-04
2024-05-20 18:32:45 transreid.train INFO: Epoch[69] Iter[220/486] Loss: 0.126, Acc: 0.994, Base Lr: 1.54e-04
2024-05-20 18:32:49 transreid.train INFO: Epoch[69] Iter[240/486] Loss: 0.126, Acc: 0.994, Base Lr: 1.54e-04
2024-05-20 18:32:52 transreid.train INFO: Epoch[69] Iter[260/486] Loss: 0.125, Acc: 0.994, Base Lr: 1.54e-04
2024-05-20 18:32:55 transreid.train INFO: Epoch[69] Iter[280/486] Loss: 0.123, Acc: 0.994, Base Lr: 1.54e-04
2024-05-20 18:32:59 transreid.train INFO: Epoch[69] Iter[300/486] Loss: 0.121, Acc: 0.994, Base Lr: 1.54e-04
2024-05-20 18:33:02 transreid.train INFO: Epoch[69] Iter[320/486] Loss: 0.118, Acc: 0.995, Base Lr: 1.54e-04
2024-05-20 18:33:06 transreid.train INFO: Epoch[69] Iter[340/486] Loss: 0.116, Acc: 0.995, Base Lr: 1.54e-04
2024-05-20 18:33:09 transreid.train INFO: Epoch[69] Iter[360/486] Loss: 0.114, Acc: 0.995, Base Lr: 1.54e-04
2024-05-20 18:33:13 transreid.train INFO: Epoch[69] Iter[380/486] Loss: 0.112, Acc: 0.995, Base Lr: 1.54e-04
2024-05-20 18:33:16 transreid.train INFO: Epoch[69] Iter[400/486] Loss: 0.109, Acc: 0.995, Base Lr: 1.54e-04
2024-05-20 18:33:20 transreid.train INFO: Epoch[69] Iter[420/486] Loss: 0.107, Acc: 0.995, Base Lr: 1.54e-04
2024-05-20 18:33:23 transreid.train INFO: Epoch[69] Iter[440/486] Loss: 0.104, Acc: 0.995, Base Lr: 1.54e-04
2024-05-20 18:33:26 transreid.train INFO: Epoch[69] Iter[460/486] Loss: 0.102, Acc: 0.995, Base Lr: 1.54e-04
2024-05-20 18:33:29 transreid.train INFO: Epoch 69 done. Time per epoch: 85.770[s] Speed: 353.7[samples/s]
2024-05-20 18:33:36 transreid.train INFO: Epoch[70] Iter[20/486] Loss: 0.159, Acc: 0.995, Base Lr: 1.49e-04
2024-05-20 18:33:40 transreid.train INFO: Epoch[70] Iter[40/486] Loss: 0.148, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:33:43 transreid.train INFO: Epoch[70] Iter[60/486] Loss: 0.142, Acc: 0.995, Base Lr: 1.49e-04
2024-05-20 18:33:46 transreid.train INFO: Epoch[70] Iter[80/486] Loss: 0.138, Acc: 0.995, Base Lr: 1.49e-04
2024-05-20 18:33:50 transreid.train INFO: Epoch[70] Iter[100/486] Loss: 0.135, Acc: 0.995, Base Lr: 1.49e-04
2024-05-20 18:33:53 transreid.train INFO: Epoch[70] Iter[120/486] Loss: 0.131, Acc: 0.995, Base Lr: 1.49e-04
2024-05-20 18:33:57 transreid.train INFO: Epoch[70] Iter[140/486] Loss: 0.128, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:34:00 transreid.train INFO: Epoch[70] Iter[160/486] Loss: 0.127, Acc: 0.995, Base Lr: 1.49e-04
2024-05-20 18:34:04 transreid.train INFO: Epoch[70] Iter[180/486] Loss: 0.123, Acc: 0.995, Base Lr: 1.49e-04
2024-05-20 18:34:07 transreid.train INFO: Epoch[70] Iter[200/486] Loss: 0.120, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:34:10 transreid.train INFO: Epoch[70] Iter[220/486] Loss: 0.119, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:34:14 transreid.train INFO: Epoch[70] Iter[240/486] Loss: 0.117, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:34:17 transreid.train INFO: Epoch[70] Iter[260/486] Loss: 0.116, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:34:21 transreid.train INFO: Epoch[70] Iter[280/486] Loss: 0.114, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:34:24 transreid.train INFO: Epoch[70] Iter[300/486] Loss: 0.112, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:34:28 transreid.train INFO: Epoch[70] Iter[320/486] Loss: 0.112, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:34:31 transreid.train INFO: Epoch[70] Iter[340/486] Loss: 0.110, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:34:34 transreid.train INFO: Epoch[70] Iter[360/486] Loss: 0.107, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:34:38 transreid.train INFO: Epoch[70] Iter[380/486] Loss: 0.104, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:34:41 transreid.train INFO: Epoch[70] Iter[400/486] Loss: 0.102, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:34:45 transreid.train INFO: Epoch[70] Iter[420/486] Loss: 0.101, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:34:48 transreid.train INFO: Epoch[70] Iter[440/486] Loss: 0.098, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:34:52 transreid.train INFO: Epoch[70] Iter[460/486] Loss: 0.096, Acc: 0.996, Base Lr: 1.49e-04
2024-05-20 18:34:54 transreid.train INFO: Epoch 70 done. Time per epoch: 85.010[s] Speed: 356.1[samples/s]
2024-05-20 18:35:02 transreid.train INFO: Epoch[71] Iter[20/486] Loss: 0.137, Acc: 0.991, Base Lr: 1.44e-04
2024-05-20 18:35:05 transreid.train INFO: Epoch[71] Iter[40/486] Loss: 0.144, Acc: 0.991, Base Lr: 1.44e-04
2024-05-20 18:35:09 transreid.train INFO: Epoch[71] Iter[60/486] Loss: 0.138, Acc: 0.993, Base Lr: 1.44e-04
2024-05-20 18:35:12 transreid.train INFO: Epoch[71] Iter[80/486] Loss: 0.133, Acc: 0.993, Base Lr: 1.44e-04
2024-05-20 18:35:15 transreid.train INFO: Epoch[71] Iter[100/486] Loss: 0.127, Acc: 0.994, Base Lr: 1.44e-04
2024-05-20 18:35:19 transreid.train INFO: Epoch[71] Iter[120/486] Loss: 0.129, Acc: 0.994, Base Lr: 1.44e-04
2024-05-20 18:35:22 transreid.train INFO: Epoch[71] Iter[140/486] Loss: 0.126, Acc: 0.995, Base Lr: 1.44e-04
2024-05-20 18:35:26 transreid.train INFO: Epoch[71] Iter[160/486] Loss: 0.123, Acc: 0.995, Base Lr: 1.44e-04
2024-05-20 18:35:29 transreid.train INFO: Epoch[71] Iter[180/486] Loss: 0.120, Acc: 0.995, Base Lr: 1.44e-04
2024-05-20 18:35:33 transreid.train INFO: Epoch[71] Iter[200/486] Loss: 0.120, Acc: 0.995, Base Lr: 1.44e-04
2024-05-20 18:35:36 transreid.train INFO: Epoch[71] Iter[220/486] Loss: 0.119, Acc: 0.995, Base Lr: 1.44e-04
2024-05-20 18:35:39 transreid.train INFO: Epoch[71] Iter[240/486] Loss: 0.117, Acc: 0.995, Base Lr: 1.44e-04
2024-05-20 18:35:43 transreid.train INFO: Epoch[71] Iter[260/486] Loss: 0.116, Acc: 0.995, Base Lr: 1.44e-04
2024-05-20 18:35:46 transreid.train INFO: Epoch[71] Iter[280/486] Loss: 0.114, Acc: 0.996, Base Lr: 1.44e-04
2024-05-20 18:35:50 transreid.train INFO: Epoch[71] Iter[300/486] Loss: 0.113, Acc: 0.995, Base Lr: 1.44e-04
2024-05-20 18:35:53 transreid.train INFO: Epoch[71] Iter[320/486] Loss: 0.111, Acc: 0.995, Base Lr: 1.44e-04
2024-05-20 18:35:57 transreid.train INFO: Epoch[71] Iter[340/486] Loss: 0.110, Acc: 0.995, Base Lr: 1.44e-04
2024-05-20 18:36:00 transreid.train INFO: Epoch[71] Iter[360/486] Loss: 0.108, Acc: 0.995, Base Lr: 1.44e-04
2024-05-20 18:36:03 transreid.train INFO: Epoch[71] Iter[380/486] Loss: 0.107, Acc: 0.996, Base Lr: 1.44e-04
2024-05-20 18:36:07 transreid.train INFO: Epoch[71] Iter[400/486] Loss: 0.105, Acc: 0.995, Base Lr: 1.44e-04
2024-05-20 18:36:10 transreid.train INFO: Epoch[71] Iter[420/486] Loss: 0.103, Acc: 0.995, Base Lr: 1.44e-04
2024-05-20 18:36:14 transreid.train INFO: Epoch[71] Iter[440/486] Loss: 0.101, Acc: 0.995, Base Lr: 1.44e-04
2024-05-20 18:36:17 transreid.train INFO: Epoch[71] Iter[460/486] Loss: 0.098, Acc: 0.995, Base Lr: 1.44e-04
2024-05-20 18:36:20 transreid.train INFO: Epoch 71 done. Time per epoch: 85.776[s] Speed: 353.7[samples/s]
2024-05-20 18:36:27 transreid.train INFO: Epoch[72] Iter[20/486] Loss: 0.131, Acc: 0.995, Base Lr: 1.39e-04
2024-05-20 18:36:30 transreid.train INFO: Epoch[72] Iter[40/486] Loss: 0.133, Acc: 0.995, Base Lr: 1.39e-04
2024-05-20 18:36:34 transreid.train INFO: Epoch[72] Iter[60/486] Loss: 0.139, Acc: 0.994, Base Lr: 1.39e-04
2024-05-20 18:36:37 transreid.train INFO: Epoch[72] Iter[80/486] Loss: 0.136, Acc: 0.994, Base Lr: 1.39e-04
2024-05-20 18:36:41 transreid.train INFO: Epoch[72] Iter[100/486] Loss: 0.130, Acc: 0.994, Base Lr: 1.39e-04
2024-05-20 18:36:44 transreid.train INFO: Epoch[72] Iter[120/486] Loss: 0.129, Acc: 0.994, Base Lr: 1.39e-04
2024-05-20 18:36:47 transreid.train INFO: Epoch[72] Iter[140/486] Loss: 0.129, Acc: 0.994, Base Lr: 1.39e-04
2024-05-20 18:36:51 transreid.train INFO: Epoch[72] Iter[160/486] Loss: 0.127, Acc: 0.994, Base Lr: 1.39e-04
2024-05-20 18:36:54 transreid.train INFO: Epoch[72] Iter[180/486] Loss: 0.124, Acc: 0.994, Base Lr: 1.39e-04
2024-05-20 18:36:58 transreid.train INFO: Epoch[72] Iter[200/486] Loss: 0.121, Acc: 0.994, Base Lr: 1.39e-04
2024-05-20 18:37:01 transreid.train INFO: Epoch[72] Iter[220/486] Loss: 0.119, Acc: 0.994, Base Lr: 1.39e-04
2024-05-20 18:37:04 transreid.train INFO: Epoch[72] Iter[240/486] Loss: 0.115, Acc: 0.995, Base Lr: 1.39e-04
2024-05-20 18:37:08 transreid.train INFO: Epoch[72] Iter[260/486] Loss: 0.113, Acc: 0.995, Base Lr: 1.39e-04
2024-05-20 18:37:11 transreid.train INFO: Epoch[72] Iter[280/486] Loss: 0.110, Acc: 0.995, Base Lr: 1.39e-04
2024-05-20 18:37:15 transreid.train INFO: Epoch[72] Iter[300/486] Loss: 0.109, Acc: 0.995, Base Lr: 1.39e-04
2024-05-20 18:37:18 transreid.train INFO: Epoch[72] Iter[320/486] Loss: 0.107, Acc: 0.995, Base Lr: 1.39e-04
2024-05-20 18:37:21 transreid.train INFO: Epoch[72] Iter[340/486] Loss: 0.106, Acc: 0.995, Base Lr: 1.39e-04
2024-05-20 18:37:25 transreid.train INFO: Epoch[72] Iter[360/486] Loss: 0.104, Acc: 0.995, Base Lr: 1.39e-04
2024-05-20 18:37:28 transreid.train INFO: Epoch[72] Iter[380/486] Loss: 0.103, Acc: 0.995, Base Lr: 1.39e-04
2024-05-20 18:37:32 transreid.train INFO: Epoch[72] Iter[400/486] Loss: 0.101, Acc: 0.995, Base Lr: 1.39e-04
2024-05-20 18:37:35 transreid.train INFO: Epoch[72] Iter[420/486] Loss: 0.098, Acc: 0.995, Base Lr: 1.39e-04
2024-05-20 18:37:39 transreid.train INFO: Epoch[72] Iter[440/486] Loss: 0.097, Acc: 0.995, Base Lr: 1.39e-04
2024-05-20 18:37:42 transreid.train INFO: Epoch[72] Iter[460/486] Loss: 0.095, Acc: 0.996, Base Lr: 1.39e-04
2024-05-20 18:37:45 transreid.train INFO: Epoch 72 done. Time per epoch: 84.676[s] Speed: 357.5[samples/s]
2024-05-20 18:37:52 transreid.train INFO: Epoch[73] Iter[20/486] Loss: 0.155, Acc: 0.991, Base Lr: 1.34e-04
2024-05-20 18:37:55 transreid.train INFO: Epoch[73] Iter[40/486] Loss: 0.146, Acc: 0.992, Base Lr: 1.34e-04
2024-05-20 18:37:58 transreid.train INFO: Epoch[73] Iter[60/486] Loss: 0.142, Acc: 0.994, Base Lr: 1.34e-04
2024-05-20 18:38:02 transreid.train INFO: Epoch[73] Iter[80/486] Loss: 0.141, Acc: 0.994, Base Lr: 1.34e-04
2024-05-20 18:38:05 transreid.train INFO: Epoch[73] Iter[100/486] Loss: 0.138, Acc: 0.995, Base Lr: 1.34e-04
2024-05-20 18:38:09 transreid.train INFO: Epoch[73] Iter[120/486] Loss: 0.136, Acc: 0.995, Base Lr: 1.34e-04
2024-05-20 18:38:12 transreid.train INFO: Epoch[73] Iter[140/486] Loss: 0.131, Acc: 0.995, Base Lr: 1.34e-04
2024-05-20 18:38:15 transreid.train INFO: Epoch[73] Iter[160/486] Loss: 0.128, Acc: 0.995, Base Lr: 1.34e-04
2024-05-20 18:38:19 transreid.train INFO: Epoch[73] Iter[180/486] Loss: 0.126, Acc: 0.995, Base Lr: 1.34e-04
2024-05-20 18:38:22 transreid.train INFO: Epoch[73] Iter[200/486] Loss: 0.124, Acc: 0.995, Base Lr: 1.34e-04
2024-05-20 18:38:26 transreid.train INFO: Epoch[73] Iter[220/486] Loss: 0.121, Acc: 0.995, Base Lr: 1.34e-04
2024-05-20 18:38:29 transreid.train INFO: Epoch[73] Iter[240/486] Loss: 0.118, Acc: 0.995, Base Lr: 1.34e-04
2024-05-20 18:38:32 transreid.train INFO: Epoch[73] Iter[260/486] Loss: 0.117, Acc: 0.995, Base Lr: 1.34e-04
2024-05-20 18:38:36 transreid.train INFO: Epoch[73] Iter[280/486] Loss: 0.115, Acc: 0.995, Base Lr: 1.34e-04
2024-05-20 18:38:39 transreid.train INFO: Epoch[73] Iter[300/486] Loss: 0.115, Acc: 0.995, Base Lr: 1.34e-04
2024-05-20 18:38:43 transreid.train INFO: Epoch[73] Iter[320/486] Loss: 0.113, Acc: 0.995, Base Lr: 1.34e-04
2024-05-20 18:38:46 transreid.train INFO: Epoch[73] Iter[340/486] Loss: 0.111, Acc: 0.995, Base Lr: 1.34e-04
2024-05-20 18:38:49 transreid.train INFO: Epoch[73] Iter[360/486] Loss: 0.108, Acc: 0.995, Base Lr: 1.34e-04
2024-05-20 18:38:53 transreid.train INFO: Epoch[73] Iter[380/486] Loss: 0.105, Acc: 0.995, Base Lr: 1.34e-04
2024-05-20 18:38:56 transreid.train INFO: Epoch[73] Iter[400/486] Loss: 0.103, Acc: 0.996, Base Lr: 1.34e-04
2024-05-20 18:39:00 transreid.train INFO: Epoch[73] Iter[420/486] Loss: 0.100, Acc: 0.996, Base Lr: 1.34e-04
2024-05-20 18:39:03 transreid.train INFO: Epoch[73] Iter[440/486] Loss: 0.098, Acc: 0.996, Base Lr: 1.34e-04
2024-05-20 18:39:06 transreid.train INFO: Epoch[73] Iter[460/486] Loss: 0.096, Acc: 0.996, Base Lr: 1.34e-04
2024-05-20 18:39:09 transreid.train INFO: Epoch 73 done. Time per epoch: 84.457[s] Speed: 359.2[samples/s]
2024-05-20 18:39:16 transreid.train INFO: Epoch[74] Iter[20/486] Loss: 0.145, Acc: 0.993, Base Lr: 1.29e-04
2024-05-20 18:39:20 transreid.train INFO: Epoch[74] Iter[40/486] Loss: 0.136, Acc: 0.995, Base Lr: 1.29e-04
2024-05-20 18:39:23 transreid.train INFO: Epoch[74] Iter[60/486] Loss: 0.131, Acc: 0.994, Base Lr: 1.29e-04
2024-05-20 18:39:26 transreid.train INFO: Epoch[74] Iter[80/486] Loss: 0.126, Acc: 0.995, Base Lr: 1.29e-04
2024-05-20 18:39:30 transreid.train INFO: Epoch[74] Iter[100/486] Loss: 0.124, Acc: 0.995, Base Lr: 1.29e-04
2024-05-20 18:39:33 transreid.train INFO: Epoch[74] Iter[120/486] Loss: 0.122, Acc: 0.996, Base Lr: 1.29e-04
2024-05-20 18:39:37 transreid.train INFO: Epoch[74] Iter[140/486] Loss: 0.122, Acc: 0.996, Base Lr: 1.29e-04
2024-05-20 18:39:40 transreid.train INFO: Epoch[74] Iter[160/486] Loss: 0.123, Acc: 0.995, Base Lr: 1.29e-04
2024-05-20 18:39:43 transreid.train INFO: Epoch[74] Iter[180/486] Loss: 0.120, Acc: 0.995, Base Lr: 1.29e-04
2024-05-20 18:39:47 transreid.train INFO: Epoch[74] Iter[200/486] Loss: 0.117, Acc: 0.995, Base Lr: 1.29e-04
2024-05-20 18:39:50 transreid.train INFO: Epoch[74] Iter[220/486] Loss: 0.116, Acc: 0.996, Base Lr: 1.29e-04
2024-05-20 18:39:53 transreid.train INFO: Epoch[74] Iter[240/486] Loss: 0.115, Acc: 0.996, Base Lr: 1.29e-04
2024-05-20 18:39:57 transreid.train INFO: Epoch[74] Iter[260/486] Loss: 0.112, Acc: 0.996, Base Lr: 1.29e-04
2024-05-20 18:40:00 transreid.train INFO: Epoch[74] Iter[280/486] Loss: 0.110, Acc: 0.996, Base Lr: 1.29e-04
2024-05-20 18:40:04 transreid.train INFO: Epoch[74] Iter[300/486] Loss: 0.108, Acc: 0.996, Base Lr: 1.29e-04
2024-05-20 18:40:07 transreid.train INFO: Epoch[74] Iter[320/486] Loss: 0.107, Acc: 0.996, Base Lr: 1.29e-04
2024-05-20 18:40:11 transreid.train INFO: Epoch[74] Iter[340/486] Loss: 0.105, Acc: 0.996, Base Lr: 1.29e-04
2024-05-20 18:40:14 transreid.train INFO: Epoch[74] Iter[360/486] Loss: 0.102, Acc: 0.996, Base Lr: 1.29e-04
2024-05-20 18:40:17 transreid.train INFO: Epoch[74] Iter[380/486] Loss: 0.100, Acc: 0.996, Base Lr: 1.29e-04
2024-05-20 18:40:21 transreid.train INFO: Epoch[74] Iter[400/486] Loss: 0.099, Acc: 0.996, Base Lr: 1.29e-04
2024-05-20 18:40:24 transreid.train INFO: Epoch[74] Iter[420/486] Loss: 0.097, Acc: 0.996, Base Lr: 1.29e-04
2024-05-20 18:40:28 transreid.train INFO: Epoch[74] Iter[440/486] Loss: 0.095, Acc: 0.996, Base Lr: 1.29e-04
2024-05-20 18:40:31 transreid.train INFO: Epoch[74] Iter[460/486] Loss: 0.093, Acc: 0.996, Base Lr: 1.29e-04
2024-05-20 18:40:34 transreid.train INFO: Epoch 74 done. Time per epoch: 85.032[s] Speed: 357.5[samples/s]
2024-05-20 18:40:41 transreid.train INFO: Epoch[75] Iter[20/486] Loss: 0.116, Acc: 0.995, Base Lr: 1.24e-04
2024-05-20 18:40:45 transreid.train INFO: Epoch[75] Iter[40/486] Loss: 0.130, Acc: 0.994, Base Lr: 1.24e-04
2024-05-20 18:40:48 transreid.train INFO: Epoch[75] Iter[60/486] Loss: 0.124, Acc: 0.995, Base Lr: 1.24e-04
2024-05-20 18:40:51 transreid.train INFO: Epoch[75] Iter[80/486] Loss: 0.122, Acc: 0.995, Base Lr: 1.24e-04
2024-05-20 18:40:55 transreid.train INFO: Epoch[75] Iter[100/486] Loss: 0.118, Acc: 0.995, Base Lr: 1.24e-04
2024-05-20 18:40:58 transreid.train INFO: Epoch[75] Iter[120/486] Loss: 0.118, Acc: 0.995, Base Lr: 1.24e-04
2024-05-20 18:41:02 transreid.train INFO: Epoch[75] Iter[140/486] Loss: 0.116, Acc: 0.995, Base Lr: 1.24e-04
2024-05-20 18:41:05 transreid.train INFO: Epoch[75] Iter[160/486] Loss: 0.114, Acc: 0.995, Base Lr: 1.24e-04
2024-05-20 18:41:08 transreid.train INFO: Epoch[75] Iter[180/486] Loss: 0.112, Acc: 0.995, Base Lr: 1.24e-04
2024-05-20 18:41:12 transreid.train INFO: Epoch[75] Iter[200/486] Loss: 0.111, Acc: 0.995, Base Lr: 1.24e-04
2024-05-20 18:41:15 transreid.train INFO: Epoch[75] Iter[220/486] Loss: 0.110, Acc: 0.995, Base Lr: 1.24e-04
2024-05-20 18:41:18 transreid.train INFO: Epoch[75] Iter[240/486] Loss: 0.108, Acc: 0.995, Base Lr: 1.24e-04
2024-05-20 18:41:22 transreid.train INFO: Epoch[75] Iter[260/486] Loss: 0.106, Acc: 0.995, Base Lr: 1.24e-04
2024-05-20 18:41:25 transreid.train INFO: Epoch[75] Iter[280/486] Loss: 0.103, Acc: 0.996, Base Lr: 1.24e-04
2024-05-20 18:41:29 transreid.train INFO: Epoch[75] Iter[300/486] Loss: 0.101, Acc: 0.996, Base Lr: 1.24e-04
2024-05-20 18:41:32 transreid.train INFO: Epoch[75] Iter[320/486] Loss: 0.100, Acc: 0.996, Base Lr: 1.24e-04
2024-05-20 18:41:36 transreid.train INFO: Epoch[75] Iter[340/486] Loss: 0.098, Acc: 0.996, Base Lr: 1.24e-04
2024-05-20 18:41:39 transreid.train INFO: Epoch[75] Iter[360/486] Loss: 0.096, Acc: 0.996, Base Lr: 1.24e-04
2024-05-20 18:41:42 transreid.train INFO: Epoch[75] Iter[380/486] Loss: 0.095, Acc: 0.996, Base Lr: 1.24e-04
2024-05-20 18:41:46 transreid.train INFO: Epoch[75] Iter[400/486] Loss: 0.093, Acc: 0.996, Base Lr: 1.24e-04
2024-05-20 18:41:49 transreid.train INFO: Epoch[75] Iter[420/486] Loss: 0.091, Acc: 0.996, Base Lr: 1.24e-04
2024-05-20 18:41:53 transreid.train INFO: Epoch[75] Iter[440/486] Loss: 0.089, Acc: 0.996, Base Lr: 1.24e-04
2024-05-20 18:41:56 transreid.train INFO: Epoch[75] Iter[460/486] Loss: 0.087, Acc: 0.996, Base Lr: 1.24e-04
2024-05-20 18:41:59 transreid.train INFO: Epoch 75 done. Time per epoch: 84.711[s] Speed: 358.1[samples/s]
2024-05-20 18:42:06 transreid.train INFO: Epoch[76] Iter[20/486] Loss: 0.131, Acc: 0.991, Base Lr: 1.19e-04
2024-05-20 18:42:09 transreid.train INFO: Epoch[76] Iter[40/486] Loss: 0.132, Acc: 0.993, Base Lr: 1.19e-04
2024-05-20 18:42:13 transreid.train INFO: Epoch[76] Iter[60/486] Loss: 0.125, Acc: 0.995, Base Lr: 1.19e-04
2024-05-20 18:42:16 transreid.train INFO: Epoch[76] Iter[80/486] Loss: 0.122, Acc: 0.994, Base Lr: 1.19e-04
2024-05-20 18:42:19 transreid.train INFO: Epoch[76] Iter[100/486] Loss: 0.122, Acc: 0.994, Base Lr: 1.19e-04
2024-05-20 18:42:23 transreid.train INFO: Epoch[76] Iter[120/486] Loss: 0.119, Acc: 0.994, Base Lr: 1.19e-04
2024-05-20 18:42:26 transreid.train INFO: Epoch[76] Iter[140/486] Loss: 0.117, Acc: 0.994, Base Lr: 1.19e-04
2024-05-20 18:42:30 transreid.train INFO: Epoch[76] Iter[160/486] Loss: 0.115, Acc: 0.995, Base Lr: 1.19e-04
2024-05-20 18:42:33 transreid.train INFO: Epoch[76] Iter[180/486] Loss: 0.115, Acc: 0.995, Base Lr: 1.19e-04
2024-05-20 18:42:36 transreid.train INFO: Epoch[76] Iter[200/486] Loss: 0.112, Acc: 0.995, Base Lr: 1.19e-04
2024-05-20 18:42:40 transreid.train INFO: Epoch[76] Iter[220/486] Loss: 0.112, Acc: 0.995, Base Lr: 1.19e-04
2024-05-20 18:42:43 transreid.train INFO: Epoch[76] Iter[240/486] Loss: 0.110, Acc: 0.995, Base Lr: 1.19e-04
2024-05-20 18:42:47 transreid.train INFO: Epoch[76] Iter[260/486] Loss: 0.110, Acc: 0.995, Base Lr: 1.19e-04
2024-05-20 18:42:50 transreid.train INFO: Epoch[76] Iter[280/486] Loss: 0.108, Acc: 0.995, Base Lr: 1.19e-04
2024-05-20 18:42:53 transreid.train INFO: Epoch[76] Iter[300/486] Loss: 0.106, Acc: 0.995, Base Lr: 1.19e-04
2024-05-20 18:42:57 transreid.train INFO: Epoch[76] Iter[320/486] Loss: 0.104, Acc: 0.995, Base Lr: 1.19e-04
2024-05-20 18:43:00 transreid.train INFO: Epoch[76] Iter[340/486] Loss: 0.102, Acc: 0.995, Base Lr: 1.19e-04
2024-05-20 18:43:04 transreid.train INFO: Epoch[76] Iter[360/486] Loss: 0.100, Acc: 0.996, Base Lr: 1.19e-04
2024-05-20 18:43:07 transreid.train INFO: Epoch[76] Iter[380/486] Loss: 0.097, Acc: 0.996, Base Lr: 1.19e-04
2024-05-20 18:43:10 transreid.train INFO: Epoch[76] Iter[400/486] Loss: 0.095, Acc: 0.996, Base Lr: 1.19e-04
2024-05-20 18:43:14 transreid.train INFO: Epoch[76] Iter[420/486] Loss: 0.093, Acc: 0.996, Base Lr: 1.19e-04
2024-05-20 18:43:17 transreid.train INFO: Epoch[76] Iter[440/486] Loss: 0.091, Acc: 0.996, Base Lr: 1.19e-04
2024-05-20 18:43:21 transreid.train INFO: Epoch[76] Iter[460/486] Loss: 0.089, Acc: 0.996, Base Lr: 1.19e-04
2024-05-20 18:43:23 transreid.train INFO: Epoch 76 done. Time per epoch: 84.427[s] Speed: 359.3[samples/s]
2024-05-20 18:43:31 transreid.train INFO: Epoch[77] Iter[20/486] Loss: 0.158, Acc: 0.989, Base Lr: 1.14e-04
2024-05-20 18:43:35 transreid.train INFO: Epoch[77] Iter[40/486] Loss: 0.137, Acc: 0.992, Base Lr: 1.14e-04
2024-05-20 18:43:38 transreid.train INFO: Epoch[77] Iter[60/486] Loss: 0.130, Acc: 0.994, Base Lr: 1.14e-04
2024-05-20 18:43:42 transreid.train INFO: Epoch[77] Iter[80/486] Loss: 0.124, Acc: 0.994, Base Lr: 1.14e-04
2024-05-20 18:43:45 transreid.train INFO: Epoch[77] Iter[100/486] Loss: 0.122, Acc: 0.994, Base Lr: 1.14e-04
2024-05-20 18:43:49 transreid.train INFO: Epoch[77] Iter[120/486] Loss: 0.122, Acc: 0.995, Base Lr: 1.14e-04
2024-05-20 18:43:52 transreid.train INFO: Epoch[77] Iter[140/486] Loss: 0.119, Acc: 0.995, Base Lr: 1.14e-04
2024-05-20 18:43:55 transreid.train INFO: Epoch[77] Iter[160/486] Loss: 0.117, Acc: 0.995, Base Lr: 1.14e-04
2024-05-20 18:43:59 transreid.train INFO: Epoch[77] Iter[180/486] Loss: 0.115, Acc: 0.995, Base Lr: 1.14e-04
2024-05-20 18:44:02 transreid.train INFO: Epoch[77] Iter[200/486] Loss: 0.113, Acc: 0.995, Base Lr: 1.14e-04
2024-05-20 18:44:06 transreid.train INFO: Epoch[77] Iter[220/486] Loss: 0.110, Acc: 0.996, Base Lr: 1.14e-04
2024-05-20 18:44:09 transreid.train INFO: Epoch[77] Iter[240/486] Loss: 0.108, Acc: 0.996, Base Lr: 1.14e-04
2024-05-20 18:44:13 transreid.train INFO: Epoch[77] Iter[260/486] Loss: 0.105, Acc: 0.996, Base Lr: 1.14e-04
2024-05-20 18:44:16 transreid.train INFO: Epoch[77] Iter[280/486] Loss: 0.103, Acc: 0.996, Base Lr: 1.14e-04
2024-05-20 18:44:19 transreid.train INFO: Epoch[77] Iter[300/486] Loss: 0.102, Acc: 0.996, Base Lr: 1.14e-04
2024-05-20 18:44:23 transreid.train INFO: Epoch[77] Iter[320/486] Loss: 0.101, Acc: 0.996, Base Lr: 1.14e-04
2024-05-20 18:44:26 transreid.train INFO: Epoch[77] Iter[340/486] Loss: 0.099, Acc: 0.996, Base Lr: 1.14e-04
2024-05-20 18:44:30 transreid.train INFO: Epoch[77] Iter[360/486] Loss: 0.096, Acc: 0.996, Base Lr: 1.14e-04
2024-05-20 18:44:33 transreid.train INFO: Epoch[77] Iter[380/486] Loss: 0.095, Acc: 0.996, Base Lr: 1.14e-04
2024-05-20 18:44:36 transreid.train INFO: Epoch[77] Iter[400/486] Loss: 0.093, Acc: 0.996, Base Lr: 1.14e-04
2024-05-20 18:44:40 transreid.train INFO: Epoch[77] Iter[420/486] Loss: 0.090, Acc: 0.996, Base Lr: 1.14e-04
2024-05-20 18:44:43 transreid.train INFO: Epoch[77] Iter[440/486] Loss: 0.088, Acc: 0.996, Base Lr: 1.14e-04
2024-05-20 18:44:47 transreid.train INFO: Epoch[77] Iter[460/486] Loss: 0.086, Acc: 0.996, Base Lr: 1.14e-04
2024-05-20 18:44:50 transreid.train INFO: Epoch 77 done. Time per epoch: 86.370[s] Speed: 351.2[samples/s]
2024-05-20 18:44:57 transreid.train INFO: Epoch[78] Iter[20/486] Loss: 0.127, Acc: 0.993, Base Lr: 1.10e-04
2024-05-20 18:45:00 transreid.train INFO: Epoch[78] Iter[40/486] Loss: 0.122, Acc: 0.994, Base Lr: 1.10e-04
2024-05-20 18:45:04 transreid.train INFO: Epoch[78] Iter[60/486] Loss: 0.120, Acc: 0.995, Base Lr: 1.10e-04
2024-05-20 18:45:07 transreid.train INFO: Epoch[78] Iter[80/486] Loss: 0.117, Acc: 0.995, Base Lr: 1.10e-04
2024-05-20 18:45:11 transreid.train INFO: Epoch[78] Iter[100/486] Loss: 0.115, Acc: 0.995, Base Lr: 1.10e-04
2024-05-20 18:45:14 transreid.train INFO: Epoch[78] Iter[120/486] Loss: 0.113, Acc: 0.995, Base Lr: 1.10e-04
2024-05-20 18:45:17 transreid.train INFO: Epoch[78] Iter[140/486] Loss: 0.112, Acc: 0.995, Base Lr: 1.10e-04
2024-05-20 18:45:21 transreid.train INFO: Epoch[78] Iter[160/486] Loss: 0.111, Acc: 0.995, Base Lr: 1.10e-04
2024-05-20 18:45:24 transreid.train INFO: Epoch[78] Iter[180/486] Loss: 0.108, Acc: 0.996, Base Lr: 1.10e-04
2024-05-20 18:45:28 transreid.train INFO: Epoch[78] Iter[200/486] Loss: 0.107, Acc: 0.995, Base Lr: 1.10e-04
2024-05-20 18:45:31 transreid.train INFO: Epoch[78] Iter[220/486] Loss: 0.106, Acc: 0.996, Base Lr: 1.10e-04
2024-05-20 18:45:35 transreid.train INFO: Epoch[78] Iter[240/486] Loss: 0.104, Acc: 0.996, Base Lr: 1.10e-04
2024-05-20 18:45:38 transreid.train INFO: Epoch[78] Iter[260/486] Loss: 0.101, Acc: 0.996, Base Lr: 1.10e-04
2024-05-20 18:45:41 transreid.train INFO: Epoch[78] Iter[280/486] Loss: 0.099, Acc: 0.996, Base Lr: 1.10e-04
2024-05-20 18:45:45 transreid.train INFO: Epoch[78] Iter[300/486] Loss: 0.099, Acc: 0.996, Base Lr: 1.10e-04
2024-05-20 18:45:48 transreid.train INFO: Epoch[78] Iter[320/486] Loss: 0.098, Acc: 0.996, Base Lr: 1.10e-04
2024-05-20 18:45:52 transreid.train INFO: Epoch[78] Iter[340/486] Loss: 0.096, Acc: 0.996, Base Lr: 1.10e-04
2024-05-20 18:45:55 transreid.train INFO: Epoch[78] Iter[360/486] Loss: 0.093, Acc: 0.996, Base Lr: 1.10e-04
2024-05-20 18:45:58 transreid.train INFO: Epoch[78] Iter[380/486] Loss: 0.091, Acc: 0.996, Base Lr: 1.10e-04
2024-05-20 18:46:02 transreid.train INFO: Epoch[78] Iter[400/486] Loss: 0.090, Acc: 0.996, Base Lr: 1.10e-04
2024-05-20 18:46:05 transreid.train INFO: Epoch[78] Iter[420/486] Loss: 0.088, Acc: 0.996, Base Lr: 1.10e-04
2024-05-20 18:46:09 transreid.train INFO: Epoch[78] Iter[440/486] Loss: 0.086, Acc: 0.996, Base Lr: 1.10e-04
2024-05-20 18:46:12 transreid.train INFO: Epoch[78] Iter[460/486] Loss: 0.084, Acc: 0.996, Base Lr: 1.10e-04
2024-05-20 18:46:15 transreid.train INFO: Epoch 78 done. Time per epoch: 85.277[s] Speed: 355.7[samples/s]
2024-05-20 18:46:22 transreid.train INFO: Epoch[79] Iter[20/486] Loss: 0.128, Acc: 0.994, Base Lr: 1.05e-04
2024-05-20 18:46:25 transreid.train INFO: Epoch[79] Iter[40/486] Loss: 0.118, Acc: 0.994, Base Lr: 1.05e-04
2024-05-20 18:46:29 transreid.train INFO: Epoch[79] Iter[60/486] Loss: 0.118, Acc: 0.993, Base Lr: 1.05e-04
2024-05-20 18:46:32 transreid.train INFO: Epoch[79] Iter[80/486] Loss: 0.116, Acc: 0.993, Base Lr: 1.05e-04
2024-05-20 18:46:36 transreid.train INFO: Epoch[79] Iter[100/486] Loss: 0.113, Acc: 0.994, Base Lr: 1.05e-04
2024-05-20 18:46:39 transreid.train INFO: Epoch[79] Iter[120/486] Loss: 0.109, Acc: 0.995, Base Lr: 1.05e-04
2024-05-20 18:46:42 transreid.train INFO: Epoch[79] Iter[140/486] Loss: 0.106, Acc: 0.995, Base Lr: 1.05e-04
2024-05-20 18:46:46 transreid.train INFO: Epoch[79] Iter[160/486] Loss: 0.105, Acc: 0.996, Base Lr: 1.05e-04
2024-05-20 18:46:49 transreid.train INFO: Epoch[79] Iter[180/486] Loss: 0.103, Acc: 0.996, Base Lr: 1.05e-04
2024-05-20 18:46:52 transreid.train INFO: Epoch[79] Iter[200/486] Loss: 0.102, Acc: 0.996, Base Lr: 1.05e-04
2024-05-20 18:46:56 transreid.train INFO: Epoch[79] Iter[220/486] Loss: 0.101, Acc: 0.996, Base Lr: 1.05e-04
2024-05-20 18:46:59 transreid.train INFO: Epoch[79] Iter[240/486] Loss: 0.101, Acc: 0.996, Base Lr: 1.05e-04
2024-05-20 18:47:03 transreid.train INFO: Epoch[79] Iter[260/486] Loss: 0.099, Acc: 0.996, Base Lr: 1.05e-04
2024-05-20 18:47:06 transreid.train INFO: Epoch[79] Iter[280/486] Loss: 0.098, Acc: 0.996, Base Lr: 1.05e-04
2024-05-20 18:47:09 transreid.train INFO: Epoch[79] Iter[300/486] Loss: 0.095, Acc: 0.996, Base Lr: 1.05e-04
2024-05-20 18:47:13 transreid.train INFO: Epoch[79] Iter[320/486] Loss: 0.094, Acc: 0.996, Base Lr: 1.05e-04
2024-05-20 18:47:16 transreid.train INFO: Epoch[79] Iter[340/486] Loss: 0.092, Acc: 0.996, Base Lr: 1.05e-04
2024-05-20 18:47:20 transreid.train INFO: Epoch[79] Iter[360/486] Loss: 0.090, Acc: 0.996, Base Lr: 1.05e-04
2024-05-20 18:47:23 transreid.train INFO: Epoch[79] Iter[380/486] Loss: 0.089, Acc: 0.996, Base Lr: 1.05e-04
2024-05-20 18:47:27 transreid.train INFO: Epoch[79] Iter[400/486] Loss: 0.087, Acc: 0.996, Base Lr: 1.05e-04
2024-05-20 18:47:30 transreid.train INFO: Epoch[79] Iter[420/486] Loss: 0.085, Acc: 0.997, Base Lr: 1.05e-04
2024-05-20 18:47:33 transreid.train INFO: Epoch[79] Iter[440/486] Loss: 0.083, Acc: 0.997, Base Lr: 1.05e-04
2024-05-20 18:47:37 transreid.train INFO: Epoch[79] Iter[460/486] Loss: 0.081, Acc: 0.997, Base Lr: 1.05e-04
2024-05-20 18:47:39 transreid.train INFO: Epoch 79 done. Time per epoch: 84.332[s] Speed: 359.0[samples/s]
2024-05-20 18:47:47 transreid.train INFO: Epoch[80] Iter[20/486] Loss: 0.138, Acc: 0.997, Base Lr: 1.01e-04
2024-05-20 18:47:50 transreid.train INFO: Epoch[80] Iter[40/486] Loss: 0.134, Acc: 0.996, Base Lr: 1.01e-04
2024-05-20 18:47:54 transreid.train INFO: Epoch[80] Iter[60/486] Loss: 0.128, Acc: 0.996, Base Lr: 1.01e-04
2024-05-20 18:47:57 transreid.train INFO: Epoch[80] Iter[80/486] Loss: 0.124, Acc: 0.996, Base Lr: 1.01e-04
2024-05-20 18:48:01 transreid.train INFO: Epoch[80] Iter[100/486] Loss: 0.119, Acc: 0.996, Base Lr: 1.01e-04
2024-05-20 18:48:04 transreid.train INFO: Epoch[80] Iter[120/486] Loss: 0.114, Acc: 0.996, Base Lr: 1.01e-04
2024-05-20 18:48:07 transreid.train INFO: Epoch[80] Iter[140/486] Loss: 0.111, Acc: 0.997, Base Lr: 1.01e-04
2024-05-20 18:48:11 transreid.train INFO: Epoch[80] Iter[160/486] Loss: 0.110, Acc: 0.996, Base Lr: 1.01e-04
2024-05-20 18:48:14 transreid.train INFO: Epoch[80] Iter[180/486] Loss: 0.110, Acc: 0.996, Base Lr: 1.01e-04
2024-05-20 18:48:18 transreid.train INFO: Epoch[80] Iter[200/486] Loss: 0.107, Acc: 0.996, Base Lr: 1.01e-04
2024-05-20 18:48:21 transreid.train INFO: Epoch[80] Iter[220/486] Loss: 0.105, Acc: 0.996, Base Lr: 1.01e-04
2024-05-20 18:48:25 transreid.train INFO: Epoch[80] Iter[240/486] Loss: 0.102, Acc: 0.996, Base Lr: 1.01e-04
2024-05-20 18:48:28 transreid.train INFO: Epoch[80] Iter[260/486] Loss: 0.100, Acc: 0.997, Base Lr: 1.01e-04
2024-05-20 18:48:32 transreid.train INFO: Epoch[80] Iter[280/486] Loss: 0.099, Acc: 0.997, Base Lr: 1.01e-04
2024-05-20 18:48:35 transreid.train INFO: Epoch[80] Iter[300/486] Loss: 0.097, Acc: 0.997, Base Lr: 1.01e-04
2024-05-20 18:48:38 transreid.train INFO: Epoch[80] Iter[320/486] Loss: 0.095, Acc: 0.997, Base Lr: 1.01e-04
2024-05-20 18:48:42 transreid.train INFO: Epoch[80] Iter[340/486] Loss: 0.092, Acc: 0.997, Base Lr: 1.01e-04
2024-05-20 18:48:45 transreid.train INFO: Epoch[80] Iter[360/486] Loss: 0.091, Acc: 0.997, Base Lr: 1.01e-04
2024-05-20 18:48:49 transreid.train INFO: Epoch[80] Iter[380/486] Loss: 0.091, Acc: 0.996, Base Lr: 1.01e-04
2024-05-20 18:48:52 transreid.train INFO: Epoch[80] Iter[400/486] Loss: 0.089, Acc: 0.996, Base Lr: 1.01e-04
2024-05-20 18:48:56 transreid.train INFO: Epoch[80] Iter[420/486] Loss: 0.087, Acc: 0.997, Base Lr: 1.01e-04
2024-05-20 18:48:59 transreid.train INFO: Epoch[80] Iter[440/486] Loss: 0.085, Acc: 0.997, Base Lr: 1.01e-04
2024-05-20 18:49:02 transreid.train INFO: Epoch[80] Iter[460/486] Loss: 0.083, Acc: 0.997, Base Lr: 1.01e-04
2024-05-20 18:49:05 transreid.train INFO: Epoch 80 done. Time per epoch: 85.443[s] Speed: 352.8[samples/s]
2024-05-20 18:52:49 transreid.train INFO: Validation Results - Epoch: 80
2024-05-20 18:52:49 transreid.train INFO: mAP: 68.6%
2024-05-20 18:52:49 transreid.train INFO: CMC curve, Rank-1  :87.3%
2024-05-20 18:52:49 transreid.train INFO: CMC curve, Rank-5  :93.4%
2024-05-20 18:52:49 transreid.train INFO: CMC curve, Rank-10 :94.7%
2024-05-20 18:52:56 transreid.train INFO: Epoch[81] Iter[20/486] Loss: 0.109, Acc: 0.995, Base Lr: 9.61e-05
2024-05-20 18:52:59 transreid.train INFO: Epoch[81] Iter[40/486] Loss: 0.110, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:53:02 transreid.train INFO: Epoch[81] Iter[60/486] Loss: 0.106, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:53:06 transreid.train INFO: Epoch[81] Iter[80/486] Loss: 0.105, Acc: 0.995, Base Lr: 9.61e-05
2024-05-20 18:53:09 transreid.train INFO: Epoch[81] Iter[100/486] Loss: 0.104, Acc: 0.995, Base Lr: 9.61e-05
2024-05-20 18:53:13 transreid.train INFO: Epoch[81] Iter[120/486] Loss: 0.100, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:53:16 transreid.train INFO: Epoch[81] Iter[140/486] Loss: 0.100, Acc: 0.995, Base Lr: 9.61e-05
2024-05-20 18:53:19 transreid.train INFO: Epoch[81] Iter[160/486] Loss: 0.101, Acc: 0.995, Base Lr: 9.61e-05
2024-05-20 18:53:23 transreid.train INFO: Epoch[81] Iter[180/486] Loss: 0.099, Acc: 0.995, Base Lr: 9.61e-05
2024-05-20 18:53:26 transreid.train INFO: Epoch[81] Iter[200/486] Loss: 0.098, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:53:29 transreid.train INFO: Epoch[81] Iter[220/486] Loss: 0.096, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:53:33 transreid.train INFO: Epoch[81] Iter[240/486] Loss: 0.095, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:53:36 transreid.train INFO: Epoch[81] Iter[260/486] Loss: 0.094, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:53:40 transreid.train INFO: Epoch[81] Iter[280/486] Loss: 0.093, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:53:43 transreid.train INFO: Epoch[81] Iter[300/486] Loss: 0.092, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:53:47 transreid.train INFO: Epoch[81] Iter[320/486] Loss: 0.091, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:53:50 transreid.train INFO: Epoch[81] Iter[340/486] Loss: 0.091, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:53:53 transreid.train INFO: Epoch[81] Iter[360/486] Loss: 0.089, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:53:57 transreid.train INFO: Epoch[81] Iter[380/486] Loss: 0.087, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:54:00 transreid.train INFO: Epoch[81] Iter[400/486] Loss: 0.086, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:54:03 transreid.train INFO: Epoch[81] Iter[420/486] Loss: 0.084, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:54:07 transreid.train INFO: Epoch[81] Iter[440/486] Loss: 0.082, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:54:10 transreid.train INFO: Epoch[81] Iter[460/486] Loss: 0.081, Acc: 0.996, Base Lr: 9.61e-05
2024-05-20 18:54:13 transreid.train INFO: Epoch 81 done. Time per epoch: 84.345[s] Speed: 360.4[samples/s]
2024-05-20 18:54:21 transreid.train INFO: Epoch[82] Iter[20/486] Loss: 0.114, Acc: 0.995, Base Lr: 9.17e-05
2024-05-20 18:54:24 transreid.train INFO: Epoch[82] Iter[40/486] Loss: 0.112, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:54:28 transreid.train INFO: Epoch[82] Iter[60/486] Loss: 0.119, Acc: 0.995, Base Lr: 9.17e-05
2024-05-20 18:54:31 transreid.train INFO: Epoch[82] Iter[80/486] Loss: 0.118, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:54:35 transreid.train INFO: Epoch[82] Iter[100/486] Loss: 0.118, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:54:38 transreid.train INFO: Epoch[82] Iter[120/486] Loss: 0.117, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:54:41 transreid.train INFO: Epoch[82] Iter[140/486] Loss: 0.117, Acc: 0.995, Base Lr: 9.17e-05
2024-05-20 18:54:45 transreid.train INFO: Epoch[82] Iter[160/486] Loss: 0.113, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:54:48 transreid.train INFO: Epoch[82] Iter[180/486] Loss: 0.110, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:54:51 transreid.train INFO: Epoch[82] Iter[200/486] Loss: 0.107, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:54:55 transreid.train INFO: Epoch[82] Iter[220/486] Loss: 0.104, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:54:58 transreid.train INFO: Epoch[82] Iter[240/486] Loss: 0.102, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:55:02 transreid.train INFO: Epoch[82] Iter[260/486] Loss: 0.099, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:55:05 transreid.train INFO: Epoch[82] Iter[280/486] Loss: 0.098, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:55:08 transreid.train INFO: Epoch[82] Iter[300/486] Loss: 0.096, Acc: 0.997, Base Lr: 9.17e-05
2024-05-20 18:55:12 transreid.train INFO: Epoch[82] Iter[320/486] Loss: 0.094, Acc: 0.997, Base Lr: 9.17e-05
2024-05-20 18:55:15 transreid.train INFO: Epoch[82] Iter[340/486] Loss: 0.092, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:55:19 transreid.train INFO: Epoch[82] Iter[360/486] Loss: 0.091, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:55:22 transreid.train INFO: Epoch[82] Iter[380/486] Loss: 0.090, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:55:25 transreid.train INFO: Epoch[82] Iter[400/486] Loss: 0.087, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:55:29 transreid.train INFO: Epoch[82] Iter[420/486] Loss: 0.086, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:55:32 transreid.train INFO: Epoch[82] Iter[440/486] Loss: 0.084, Acc: 0.996, Base Lr: 9.17e-05
2024-05-20 18:55:36 transreid.train INFO: Epoch[82] Iter[460/486] Loss: 0.081, Acc: 0.997, Base Lr: 9.17e-05
2024-05-20 18:55:39 transreid.train INFO: Epoch 82 done. Time per epoch: 85.207[s] Speed: 356.0[samples/s]
2024-05-20 18:55:47 transreid.train INFO: Epoch[83] Iter[20/486] Loss: 0.109, Acc: 0.996, Base Lr: 8.73e-05
2024-05-20 18:55:50 transreid.train INFO: Epoch[83] Iter[40/486] Loss: 0.119, Acc: 0.996, Base Lr: 8.73e-05
2024-05-20 18:55:53 transreid.train INFO: Epoch[83] Iter[60/486] Loss: 0.114, Acc: 0.996, Base Lr: 8.73e-05
2024-05-20 18:55:57 transreid.train INFO: Epoch[83] Iter[80/486] Loss: 0.115, Acc: 0.996, Base Lr: 8.73e-05
2024-05-20 18:56:00 transreid.train INFO: Epoch[83] Iter[100/486] Loss: 0.109, Acc: 0.996, Base Lr: 8.73e-05
2024-05-20 18:56:04 transreid.train INFO: Epoch[83] Iter[120/486] Loss: 0.108, Acc: 0.996, Base Lr: 8.73e-05
2024-05-20 18:56:07 transreid.train INFO: Epoch[83] Iter[140/486] Loss: 0.103, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:56:10 transreid.train INFO: Epoch[83] Iter[160/486] Loss: 0.102, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:56:14 transreid.train INFO: Epoch[83] Iter[180/486] Loss: 0.102, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:56:17 transreid.train INFO: Epoch[83] Iter[200/486] Loss: 0.101, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:56:21 transreid.train INFO: Epoch[83] Iter[220/486] Loss: 0.100, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:56:24 transreid.train INFO: Epoch[83] Iter[240/486] Loss: 0.098, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:56:27 transreid.train INFO: Epoch[83] Iter[260/486] Loss: 0.096, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:56:31 transreid.train INFO: Epoch[83] Iter[280/486] Loss: 0.094, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:56:34 transreid.train INFO: Epoch[83] Iter[300/486] Loss: 0.093, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:56:38 transreid.train INFO: Epoch[83] Iter[320/486] Loss: 0.091, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:56:41 transreid.train INFO: Epoch[83] Iter[340/486] Loss: 0.090, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:56:44 transreid.train INFO: Epoch[83] Iter[360/486] Loss: 0.088, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:56:48 transreid.train INFO: Epoch[83] Iter[380/486] Loss: 0.087, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:56:51 transreid.train INFO: Epoch[83] Iter[400/486] Loss: 0.085, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:56:55 transreid.train INFO: Epoch[83] Iter[420/486] Loss: 0.083, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:56:58 transreid.train INFO: Epoch[83] Iter[440/486] Loss: 0.082, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:57:01 transreid.train INFO: Epoch[83] Iter[460/486] Loss: 0.081, Acc: 0.997, Base Lr: 8.73e-05
2024-05-20 18:57:04 transreid.train INFO: Epoch 83 done. Time per epoch: 85.701[s] Speed: 353.2[samples/s]
2024-05-20 18:57:12 transreid.train INFO: Epoch[84] Iter[20/486] Loss: 0.141, Acc: 0.995, Base Lr: 8.31e-05
2024-05-20 18:57:16 transreid.train INFO: Epoch[84] Iter[40/486] Loss: 0.138, Acc: 0.992, Base Lr: 8.31e-05
2024-05-20 18:57:19 transreid.train INFO: Epoch[84] Iter[60/486] Loss: 0.132, Acc: 0.992, Base Lr: 8.31e-05
2024-05-20 18:57:22 transreid.train INFO: Epoch[84] Iter[80/486] Loss: 0.128, Acc: 0.994, Base Lr: 8.31e-05
2024-05-20 18:57:26 transreid.train INFO: Epoch[84] Iter[100/486] Loss: 0.122, Acc: 0.994, Base Lr: 8.31e-05
2024-05-20 18:57:29 transreid.train INFO: Epoch[84] Iter[120/486] Loss: 0.115, Acc: 0.995, Base Lr: 8.31e-05
2024-05-20 18:57:33 transreid.train INFO: Epoch[84] Iter[140/486] Loss: 0.113, Acc: 0.995, Base Lr: 8.31e-05
2024-05-20 18:57:36 transreid.train INFO: Epoch[84] Iter[160/486] Loss: 0.109, Acc: 0.995, Base Lr: 8.31e-05
2024-05-20 18:57:40 transreid.train INFO: Epoch[84] Iter[180/486] Loss: 0.107, Acc: 0.995, Base Lr: 8.31e-05
2024-05-20 18:57:43 transreid.train INFO: Epoch[84] Iter[200/486] Loss: 0.105, Acc: 0.995, Base Lr: 8.31e-05
2024-05-20 18:57:46 transreid.train INFO: Epoch[84] Iter[220/486] Loss: 0.103, Acc: 0.996, Base Lr: 8.31e-05
2024-05-20 18:57:50 transreid.train INFO: Epoch[84] Iter[240/486] Loss: 0.101, Acc: 0.996, Base Lr: 8.31e-05
2024-05-20 18:57:53 transreid.train INFO: Epoch[84] Iter[260/486] Loss: 0.099, Acc: 0.996, Base Lr: 8.31e-05
2024-05-20 18:57:57 transreid.train INFO: Epoch[84] Iter[280/486] Loss: 0.097, Acc: 0.996, Base Lr: 8.31e-05
2024-05-20 18:58:00 transreid.train INFO: Epoch[84] Iter[300/486] Loss: 0.095, Acc: 0.996, Base Lr: 8.31e-05
2024-05-20 18:58:04 transreid.train INFO: Epoch[84] Iter[320/486] Loss: 0.092, Acc: 0.996, Base Lr: 8.31e-05
2024-05-20 18:58:07 transreid.train INFO: Epoch[84] Iter[340/486] Loss: 0.090, Acc: 0.996, Base Lr: 8.31e-05
2024-05-20 18:58:10 transreid.train INFO: Epoch[84] Iter[360/486] Loss: 0.089, Acc: 0.996, Base Lr: 8.31e-05
2024-05-20 18:58:14 transreid.train INFO: Epoch[84] Iter[380/486] Loss: 0.087, Acc: 0.996, Base Lr: 8.31e-05
2024-05-20 18:58:17 transreid.train INFO: Epoch[84] Iter[400/486] Loss: 0.085, Acc: 0.996, Base Lr: 8.31e-05
2024-05-20 18:58:21 transreid.train INFO: Epoch[84] Iter[420/486] Loss: 0.083, Acc: 0.996, Base Lr: 8.31e-05
2024-05-20 18:58:24 transreid.train INFO: Epoch[84] Iter[440/486] Loss: 0.081, Acc: 0.996, Base Lr: 8.31e-05
2024-05-20 18:58:27 transreid.train INFO: Epoch[84] Iter[460/486] Loss: 0.079, Acc: 0.996, Base Lr: 8.31e-05
2024-05-20 18:58:31 transreid.train INFO: Epoch 84 done. Time per epoch: 86.305[s] Speed: 352.2[samples/s]
2024-05-20 18:58:39 transreid.train INFO: Epoch[85] Iter[20/486] Loss: 0.106, Acc: 0.995, Base Lr: 7.89e-05
2024-05-20 18:58:42 transreid.train INFO: Epoch[85] Iter[40/486] Loss: 0.116, Acc: 0.993, Base Lr: 7.89e-05
2024-05-20 18:58:45 transreid.train INFO: Epoch[85] Iter[60/486] Loss: 0.112, Acc: 0.994, Base Lr: 7.89e-05
2024-05-20 18:58:49 transreid.train INFO: Epoch[85] Iter[80/486] Loss: 0.107, Acc: 0.995, Base Lr: 7.89e-05
2024-05-20 18:58:52 transreid.train INFO: Epoch[85] Iter[100/486] Loss: 0.107, Acc: 0.995, Base Lr: 7.89e-05
2024-05-20 18:58:56 transreid.train INFO: Epoch[85] Iter[120/486] Loss: 0.106, Acc: 0.995, Base Lr: 7.89e-05
2024-05-20 18:58:59 transreid.train INFO: Epoch[85] Iter[140/486] Loss: 0.104, Acc: 0.995, Base Lr: 7.89e-05
2024-05-20 18:59:02 transreid.train INFO: Epoch[85] Iter[160/486] Loss: 0.103, Acc: 0.995, Base Lr: 7.89e-05
2024-05-20 18:59:06 transreid.train INFO: Epoch[85] Iter[180/486] Loss: 0.102, Acc: 0.995, Base Lr: 7.89e-05
2024-05-20 18:59:09 transreid.train INFO: Epoch[85] Iter[200/486] Loss: 0.100, Acc: 0.995, Base Lr: 7.89e-05
2024-05-20 18:59:13 transreid.train INFO: Epoch[85] Iter[220/486] Loss: 0.100, Acc: 0.995, Base Lr: 7.89e-05
2024-05-20 18:59:16 transreid.train INFO: Epoch[85] Iter[240/486] Loss: 0.098, Acc: 0.995, Base Lr: 7.89e-05
2024-05-20 18:59:19 transreid.train INFO: Epoch[85] Iter[260/486] Loss: 0.095, Acc: 0.996, Base Lr: 7.89e-05
2024-05-20 18:59:23 transreid.train INFO: Epoch[85] Iter[280/486] Loss: 0.093, Acc: 0.996, Base Lr: 7.89e-05
2024-05-20 18:59:26 transreid.train INFO: Epoch[85] Iter[300/486] Loss: 0.091, Acc: 0.996, Base Lr: 7.89e-05
2024-05-20 18:59:29 transreid.train INFO: Epoch[85] Iter[320/486] Loss: 0.090, Acc: 0.996, Base Lr: 7.89e-05
2024-05-20 18:59:33 transreid.train INFO: Epoch[85] Iter[340/486] Loss: 0.088, Acc: 0.996, Base Lr: 7.89e-05
2024-05-20 18:59:36 transreid.train INFO: Epoch[85] Iter[360/486] Loss: 0.086, Acc: 0.996, Base Lr: 7.89e-05
2024-05-20 18:59:40 transreid.train INFO: Epoch[85] Iter[380/486] Loss: 0.085, Acc: 0.996, Base Lr: 7.89e-05
2024-05-20 18:59:43 transreid.train INFO: Epoch[85] Iter[400/486] Loss: 0.083, Acc: 0.996, Base Lr: 7.89e-05
2024-05-20 18:59:47 transreid.train INFO: Epoch[85] Iter[420/486] Loss: 0.082, Acc: 0.996, Base Lr: 7.89e-05
2024-05-20 18:59:50 transreid.train INFO: Epoch[85] Iter[440/486] Loss: 0.080, Acc: 0.996, Base Lr: 7.89e-05
2024-05-20 18:59:53 transreid.train INFO: Epoch[85] Iter[460/486] Loss: 0.078, Acc: 0.996, Base Lr: 7.89e-05
2024-05-20 18:59:56 transreid.train INFO: Epoch 85 done. Time per epoch: 85.395[s] Speed: 353.7[samples/s]
2024-05-20 19:00:03 transreid.train INFO: Epoch[86] Iter[20/486] Loss: 0.113, Acc: 0.997, Base Lr: 7.48e-05
2024-05-20 19:00:06 transreid.train INFO: Epoch[86] Iter[40/486] Loss: 0.112, Acc: 0.995, Base Lr: 7.48e-05
2024-05-20 19:00:10 transreid.train INFO: Epoch[86] Iter[60/486] Loss: 0.114, Acc: 0.995, Base Lr: 7.48e-05
2024-05-20 19:00:13 transreid.train INFO: Epoch[86] Iter[80/486] Loss: 0.110, Acc: 0.995, Base Lr: 7.48e-05
2024-05-20 19:00:17 transreid.train INFO: Epoch[86] Iter[100/486] Loss: 0.111, Acc: 0.995, Base Lr: 7.48e-05
2024-05-20 19:00:20 transreid.train INFO: Epoch[86] Iter[120/486] Loss: 0.108, Acc: 0.995, Base Lr: 7.48e-05
2024-05-20 19:00:23 transreid.train INFO: Epoch[86] Iter[140/486] Loss: 0.108, Acc: 0.995, Base Lr: 7.48e-05
2024-05-20 19:00:27 transreid.train INFO: Epoch[86] Iter[160/486] Loss: 0.106, Acc: 0.995, Base Lr: 7.48e-05
2024-05-20 19:00:30 transreid.train INFO: Epoch[86] Iter[180/486] Loss: 0.103, Acc: 0.995, Base Lr: 7.48e-05
2024-05-20 19:00:34 transreid.train INFO: Epoch[86] Iter[200/486] Loss: 0.101, Acc: 0.996, Base Lr: 7.48e-05
2024-05-20 19:00:37 transreid.train INFO: Epoch[86] Iter[220/486] Loss: 0.100, Acc: 0.995, Base Lr: 7.48e-05
2024-05-20 19:00:41 transreid.train INFO: Epoch[86] Iter[240/486] Loss: 0.099, Acc: 0.995, Base Lr: 7.48e-05
2024-05-20 19:00:44 transreid.train INFO: Epoch[86] Iter[260/486] Loss: 0.096, Acc: 0.996, Base Lr: 7.48e-05
2024-05-20 19:00:48 transreid.train INFO: Epoch[86] Iter[280/486] Loss: 0.094, Acc: 0.996, Base Lr: 7.48e-05
2024-05-20 19:00:51 transreid.train INFO: Epoch[86] Iter[300/486] Loss: 0.092, Acc: 0.996, Base Lr: 7.48e-05
2024-05-20 19:00:54 transreid.train INFO: Epoch[86] Iter[320/486] Loss: 0.090, Acc: 0.996, Base Lr: 7.48e-05
2024-05-20 19:00:58 transreid.train INFO: Epoch[86] Iter[340/486] Loss: 0.089, Acc: 0.996, Base Lr: 7.48e-05
2024-05-20 19:01:01 transreid.train INFO: Epoch[86] Iter[360/486] Loss: 0.087, Acc: 0.996, Base Lr: 7.48e-05
2024-05-20 19:01:05 transreid.train INFO: Epoch[86] Iter[380/486] Loss: 0.086, Acc: 0.996, Base Lr: 7.48e-05
2024-05-20 19:01:08 transreid.train INFO: Epoch[86] Iter[400/486] Loss: 0.084, Acc: 0.996, Base Lr: 7.48e-05
2024-05-20 19:01:12 transreid.train INFO: Epoch[86] Iter[420/486] Loss: 0.082, Acc: 0.996, Base Lr: 7.48e-05
2024-05-20 19:01:15 transreid.train INFO: Epoch[86] Iter[440/486] Loss: 0.080, Acc: 0.996, Base Lr: 7.48e-05
2024-05-20 19:01:19 transreid.train INFO: Epoch[86] Iter[460/486] Loss: 0.078, Acc: 0.996, Base Lr: 7.48e-05
2024-05-20 19:01:21 transreid.train INFO: Epoch 86 done. Time per epoch: 85.539[s] Speed: 353.9[samples/s]
2024-05-20 19:01:29 transreid.train INFO: Epoch[87] Iter[20/486] Loss: 0.102, Acc: 0.995, Base Lr: 7.08e-05
2024-05-20 19:01:33 transreid.train INFO: Epoch[87] Iter[40/486] Loss: 0.107, Acc: 0.995, Base Lr: 7.08e-05
2024-05-20 19:01:36 transreid.train INFO: Epoch[87] Iter[60/486] Loss: 0.103, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:01:40 transreid.train INFO: Epoch[87] Iter[80/486] Loss: 0.105, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:01:43 transreid.train INFO: Epoch[87] Iter[100/486] Loss: 0.107, Acc: 0.995, Base Lr: 7.08e-05
2024-05-20 19:01:46 transreid.train INFO: Epoch[87] Iter[120/486] Loss: 0.104, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:01:50 transreid.train INFO: Epoch[87] Iter[140/486] Loss: 0.101, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:01:53 transreid.train INFO: Epoch[87] Iter[160/486] Loss: 0.100, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:01:57 transreid.train INFO: Epoch[87] Iter[180/486] Loss: 0.098, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:02:00 transreid.train INFO: Epoch[87] Iter[200/486] Loss: 0.097, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:02:03 transreid.train INFO: Epoch[87] Iter[220/486] Loss: 0.094, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:02:07 transreid.train INFO: Epoch[87] Iter[240/486] Loss: 0.092, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:02:10 transreid.train INFO: Epoch[87] Iter[260/486] Loss: 0.090, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:02:14 transreid.train INFO: Epoch[87] Iter[280/486] Loss: 0.088, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:02:17 transreid.train INFO: Epoch[87] Iter[300/486] Loss: 0.087, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:02:21 transreid.train INFO: Epoch[87] Iter[320/486] Loss: 0.086, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:02:24 transreid.train INFO: Epoch[87] Iter[340/486] Loss: 0.084, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:02:27 transreid.train INFO: Epoch[87] Iter[360/486] Loss: 0.083, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:02:31 transreid.train INFO: Epoch[87] Iter[380/486] Loss: 0.082, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:02:34 transreid.train INFO: Epoch[87] Iter[400/486] Loss: 0.081, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:02:38 transreid.train INFO: Epoch[87] Iter[420/486] Loss: 0.079, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:02:41 transreid.train INFO: Epoch[87] Iter[440/486] Loss: 0.077, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:02:44 transreid.train INFO: Epoch[87] Iter[460/486] Loss: 0.075, Acc: 0.996, Base Lr: 7.08e-05
2024-05-20 19:02:47 transreid.train INFO: Epoch 87 done. Time per epoch: 85.738[s] Speed: 353.1[samples/s]
2024-05-20 19:02:55 transreid.train INFO: Epoch[88] Iter[20/486] Loss: 0.106, Acc: 0.997, Base Lr: 6.68e-05
2024-05-20 19:02:59 transreid.train INFO: Epoch[88] Iter[40/486] Loss: 0.097, Acc: 0.998, Base Lr: 6.68e-05
2024-05-20 19:03:02 transreid.train INFO: Epoch[88] Iter[60/486] Loss: 0.097, Acc: 0.997, Base Lr: 6.68e-05
2024-05-20 19:03:05 transreid.train INFO: Epoch[88] Iter[80/486] Loss: 0.095, Acc: 0.998, Base Lr: 6.68e-05
2024-05-20 19:03:09 transreid.train INFO: Epoch[88] Iter[100/486] Loss: 0.094, Acc: 0.997, Base Lr: 6.68e-05
2024-05-20 19:03:12 transreid.train INFO: Epoch[88] Iter[120/486] Loss: 0.094, Acc: 0.997, Base Lr: 6.68e-05
2024-05-20 19:03:16 transreid.train INFO: Epoch[88] Iter[140/486] Loss: 0.093, Acc: 0.997, Base Lr: 6.68e-05
2024-05-20 19:03:19 transreid.train INFO: Epoch[88] Iter[160/486] Loss: 0.092, Acc: 0.997, Base Lr: 6.68e-05
2024-05-20 19:03:23 transreid.train INFO: Epoch[88] Iter[180/486] Loss: 0.093, Acc: 0.997, Base Lr: 6.68e-05
2024-05-20 19:03:26 transreid.train INFO: Epoch[88] Iter[200/486] Loss: 0.092, Acc: 0.997, Base Lr: 6.68e-05
2024-05-20 19:03:29 transreid.train INFO: Epoch[88] Iter[220/486] Loss: 0.091, Acc: 0.996, Base Lr: 6.68e-05
2024-05-20 19:03:33 transreid.train INFO: Epoch[88] Iter[240/486] Loss: 0.090, Acc: 0.996, Base Lr: 6.68e-05
2024-05-20 19:03:36 transreid.train INFO: Epoch[88] Iter[260/486] Loss: 0.088, Acc: 0.996, Base Lr: 6.68e-05
2024-05-20 19:03:40 transreid.train INFO: Epoch[88] Iter[280/486] Loss: 0.087, Acc: 0.996, Base Lr: 6.68e-05
2024-05-20 19:03:43 transreid.train INFO: Epoch[88] Iter[300/486] Loss: 0.087, Acc: 0.996, Base Lr: 6.68e-05
2024-05-20 19:03:47 transreid.train INFO: Epoch[88] Iter[320/486] Loss: 0.086, Acc: 0.996, Base Lr: 6.68e-05
2024-05-20 19:03:50 transreid.train INFO: Epoch[88] Iter[340/486] Loss: 0.084, Acc: 0.996, Base Lr: 6.68e-05
2024-05-20 19:03:53 transreid.train INFO: Epoch[88] Iter[360/486] Loss: 0.083, Acc: 0.997, Base Lr: 6.68e-05
2024-05-20 19:03:57 transreid.train INFO: Epoch[88] Iter[380/486] Loss: 0.082, Acc: 0.996, Base Lr: 6.68e-05
2024-05-20 19:04:00 transreid.train INFO: Epoch[88] Iter[400/486] Loss: 0.080, Acc: 0.996, Base Lr: 6.68e-05
2024-05-20 19:04:04 transreid.train INFO: Epoch[88] Iter[420/486] Loss: 0.078, Acc: 0.996, Base Lr: 6.68e-05
2024-05-20 19:04:07 transreid.train INFO: Epoch[88] Iter[440/486] Loss: 0.076, Acc: 0.997, Base Lr: 6.68e-05
2024-05-20 19:04:10 transreid.train INFO: Epoch[88] Iter[460/486] Loss: 0.074, Acc: 0.997, Base Lr: 6.68e-05
2024-05-20 19:04:13 transreid.train INFO: Epoch 88 done. Time per epoch: 86.208[s] Speed: 351.9[samples/s]
2024-05-20 19:04:21 transreid.train INFO: Epoch[89] Iter[20/486] Loss: 0.106, Acc: 0.995, Base Lr: 6.30e-05
2024-05-20 19:04:25 transreid.train INFO: Epoch[89] Iter[40/486] Loss: 0.109, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:04:28 transreid.train INFO: Epoch[89] Iter[60/486] Loss: 0.112, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:04:32 transreid.train INFO: Epoch[89] Iter[80/486] Loss: 0.109, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:04:35 transreid.train INFO: Epoch[89] Iter[100/486] Loss: 0.104, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:04:39 transreid.train INFO: Epoch[89] Iter[120/486] Loss: 0.104, Acc: 0.995, Base Lr: 6.30e-05
2024-05-20 19:04:42 transreid.train INFO: Epoch[89] Iter[140/486] Loss: 0.102, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:04:45 transreid.train INFO: Epoch[89] Iter[160/486] Loss: 0.101, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:04:49 transreid.train INFO: Epoch[89] Iter[180/486] Loss: 0.099, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:04:52 transreid.train INFO: Epoch[89] Iter[200/486] Loss: 0.096, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:04:56 transreid.train INFO: Epoch[89] Iter[220/486] Loss: 0.096, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:04:59 transreid.train INFO: Epoch[89] Iter[240/486] Loss: 0.095, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:05:03 transreid.train INFO: Epoch[89] Iter[260/486] Loss: 0.093, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:05:06 transreid.train INFO: Epoch[89] Iter[280/486] Loss: 0.091, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:05:09 transreid.train INFO: Epoch[89] Iter[300/486] Loss: 0.089, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:05:13 transreid.train INFO: Epoch[89] Iter[320/486] Loss: 0.088, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:05:16 transreid.train INFO: Epoch[89] Iter[340/486] Loss: 0.088, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:05:20 transreid.train INFO: Epoch[89] Iter[360/486] Loss: 0.087, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:05:23 transreid.train INFO: Epoch[89] Iter[380/486] Loss: 0.085, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:05:27 transreid.train INFO: Epoch[89] Iter[400/486] Loss: 0.083, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:05:30 transreid.train INFO: Epoch[89] Iter[420/486] Loss: 0.081, Acc: 0.996, Base Lr: 6.30e-05
2024-05-20 19:05:33 transreid.train INFO: Epoch[89] Iter[440/486] Loss: 0.079, Acc: 0.997, Base Lr: 6.30e-05
2024-05-20 19:05:37 transreid.train INFO: Epoch[89] Iter[460/486] Loss: 0.077, Acc: 0.997, Base Lr: 6.30e-05
2024-05-20 19:05:40 transreid.train INFO: Epoch 89 done. Time per epoch: 86.248[s] Speed: 351.7[samples/s]
2024-05-20 19:05:47 transreid.train INFO: Epoch[90] Iter[20/486] Loss: 0.110, Acc: 0.994, Base Lr: 5.93e-05
2024-05-20 19:05:50 transreid.train INFO: Epoch[90] Iter[40/486] Loss: 0.109, Acc: 0.995, Base Lr: 5.93e-05
2024-05-20 19:05:53 transreid.train INFO: Epoch[90] Iter[60/486] Loss: 0.107, Acc: 0.995, Base Lr: 5.93e-05
2024-05-20 19:05:57 transreid.train INFO: Epoch[90] Iter[80/486] Loss: 0.103, Acc: 0.995, Base Lr: 5.93e-05
2024-05-20 19:06:00 transreid.train INFO: Epoch[90] Iter[100/486] Loss: 0.100, Acc: 0.996, Base Lr: 5.93e-05
2024-05-20 19:06:03 transreid.train INFO: Epoch[90] Iter[120/486] Loss: 0.099, Acc: 0.996, Base Lr: 5.93e-05
2024-05-20 19:06:07 transreid.train INFO: Epoch[90] Iter[140/486] Loss: 0.094, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:06:10 transreid.train INFO: Epoch[90] Iter[160/486] Loss: 0.094, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:06:14 transreid.train INFO: Epoch[90] Iter[180/486] Loss: 0.092, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:06:17 transreid.train INFO: Epoch[90] Iter[200/486] Loss: 0.090, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:06:20 transreid.train INFO: Epoch[90] Iter[220/486] Loss: 0.089, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:06:24 transreid.train INFO: Epoch[90] Iter[240/486] Loss: 0.088, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:06:27 transreid.train INFO: Epoch[90] Iter[260/486] Loss: 0.087, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:06:31 transreid.train INFO: Epoch[90] Iter[280/486] Loss: 0.084, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:06:34 transreid.train INFO: Epoch[90] Iter[300/486] Loss: 0.084, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:06:37 transreid.train INFO: Epoch[90] Iter[320/486] Loss: 0.082, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:06:41 transreid.train INFO: Epoch[90] Iter[340/486] Loss: 0.081, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:06:44 transreid.train INFO: Epoch[90] Iter[360/486] Loss: 0.079, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:06:48 transreid.train INFO: Epoch[90] Iter[380/486] Loss: 0.077, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:06:51 transreid.train INFO: Epoch[90] Iter[400/486] Loss: 0.076, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:06:54 transreid.train INFO: Epoch[90] Iter[420/486] Loss: 0.074, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:06:58 transreid.train INFO: Epoch[90] Iter[440/486] Loss: 0.072, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:07:01 transreid.train INFO: Epoch[90] Iter[460/486] Loss: 0.071, Acc: 0.997, Base Lr: 5.93e-05
2024-05-20 19:07:04 transreid.train INFO: Epoch 90 done. Time per epoch: 84.485[s] Speed: 359.1[samples/s]
2024-05-20 19:07:11 transreid.train INFO: Epoch[91] Iter[20/486] Loss: 0.104, Acc: 0.996, Base Lr: 5.56e-05
2024-05-20 19:07:14 transreid.train INFO: Epoch[91] Iter[40/486] Loss: 0.110, Acc: 0.995, Base Lr: 5.56e-05
2024-05-20 19:07:18 transreid.train INFO: Epoch[91] Iter[60/486] Loss: 0.107, Acc: 0.995, Base Lr: 5.56e-05
2024-05-20 19:07:21 transreid.train INFO: Epoch[91] Iter[80/486] Loss: 0.104, Acc: 0.995, Base Lr: 5.56e-05
2024-05-20 19:07:25 transreid.train INFO: Epoch[91] Iter[100/486] Loss: 0.101, Acc: 0.995, Base Lr: 5.56e-05
2024-05-20 19:07:28 transreid.train INFO: Epoch[91] Iter[120/486] Loss: 0.103, Acc: 0.994, Base Lr: 5.56e-05
2024-05-20 19:07:31 transreid.train INFO: Epoch[91] Iter[140/486] Loss: 0.099, Acc: 0.995, Base Lr: 5.56e-05
2024-05-20 19:07:35 transreid.train INFO: Epoch[91] Iter[160/486] Loss: 0.097, Acc: 0.995, Base Lr: 5.56e-05
2024-05-20 19:07:38 transreid.train INFO: Epoch[91] Iter[180/486] Loss: 0.095, Acc: 0.995, Base Lr: 5.56e-05
2024-05-20 19:07:42 transreid.train INFO: Epoch[91] Iter[200/486] Loss: 0.096, Acc: 0.995, Base Lr: 5.56e-05
2024-05-20 19:07:45 transreid.train INFO: Epoch[91] Iter[220/486] Loss: 0.093, Acc: 0.996, Base Lr: 5.56e-05
2024-05-20 19:07:48 transreid.train INFO: Epoch[91] Iter[240/486] Loss: 0.091, Acc: 0.996, Base Lr: 5.56e-05
2024-05-20 19:07:52 transreid.train INFO: Epoch[91] Iter[260/486] Loss: 0.089, Acc: 0.996, Base Lr: 5.56e-05
2024-05-20 19:07:55 transreid.train INFO: Epoch[91] Iter[280/486] Loss: 0.087, Acc: 0.996, Base Lr: 5.56e-05
2024-05-20 19:07:58 transreid.train INFO: Epoch[91] Iter[300/486] Loss: 0.085, Acc: 0.996, Base Lr: 5.56e-05
2024-05-20 19:08:02 transreid.train INFO: Epoch[91] Iter[320/486] Loss: 0.084, Acc: 0.996, Base Lr: 5.56e-05
2024-05-20 19:08:05 transreid.train INFO: Epoch[91] Iter[340/486] Loss: 0.082, Acc: 0.997, Base Lr: 5.56e-05
2024-05-20 19:08:09 transreid.train INFO: Epoch[91] Iter[360/486] Loss: 0.081, Acc: 0.996, Base Lr: 5.56e-05
2024-05-20 19:08:12 transreid.train INFO: Epoch[91] Iter[380/486] Loss: 0.080, Acc: 0.997, Base Lr: 5.56e-05
2024-05-20 19:08:16 transreid.train INFO: Epoch[91] Iter[400/486] Loss: 0.078, Acc: 0.997, Base Lr: 5.56e-05
2024-05-20 19:08:19 transreid.train INFO: Epoch[91] Iter[420/486] Loss: 0.076, Acc: 0.997, Base Lr: 5.56e-05
2024-05-20 19:08:22 transreid.train INFO: Epoch[91] Iter[440/486] Loss: 0.075, Acc: 0.997, Base Lr: 5.56e-05
2024-05-20 19:08:26 transreid.train INFO: Epoch[91] Iter[460/486] Loss: 0.073, Acc: 0.997, Base Lr: 5.56e-05
2024-05-20 19:08:29 transreid.train INFO: Epoch 91 done. Time per epoch: 84.413[s] Speed: 358.6[samples/s]
2024-05-20 19:08:36 transreid.train INFO: Epoch[92] Iter[20/486] Loss: 0.101, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:08:39 transreid.train INFO: Epoch[92] Iter[40/486] Loss: 0.096, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:08:43 transreid.train INFO: Epoch[92] Iter[60/486] Loss: 0.095, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:08:46 transreid.train INFO: Epoch[92] Iter[80/486] Loss: 0.096, Acc: 0.996, Base Lr: 5.21e-05
2024-05-20 19:08:49 transreid.train INFO: Epoch[92] Iter[100/486] Loss: 0.095, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:08:53 transreid.train INFO: Epoch[92] Iter[120/486] Loss: 0.094, Acc: 0.996, Base Lr: 5.21e-05
2024-05-20 19:08:56 transreid.train INFO: Epoch[92] Iter[140/486] Loss: 0.093, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:00 transreid.train INFO: Epoch[92] Iter[160/486] Loss: 0.092, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:03 transreid.train INFO: Epoch[92] Iter[180/486] Loss: 0.093, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:06 transreid.train INFO: Epoch[92] Iter[200/486] Loss: 0.091, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:10 transreid.train INFO: Epoch[92] Iter[220/486] Loss: 0.091, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:13 transreid.train INFO: Epoch[92] Iter[240/486] Loss: 0.090, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:17 transreid.train INFO: Epoch[92] Iter[260/486] Loss: 0.088, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:20 transreid.train INFO: Epoch[92] Iter[280/486] Loss: 0.087, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:23 transreid.train INFO: Epoch[92] Iter[300/486] Loss: 0.085, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:27 transreid.train INFO: Epoch[92] Iter[320/486] Loss: 0.083, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:30 transreid.train INFO: Epoch[92] Iter[340/486] Loss: 0.082, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:33 transreid.train INFO: Epoch[92] Iter[360/486] Loss: 0.080, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:37 transreid.train INFO: Epoch[92] Iter[380/486] Loss: 0.078, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:40 transreid.train INFO: Epoch[92] Iter[400/486] Loss: 0.077, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:44 transreid.train INFO: Epoch[92] Iter[420/486] Loss: 0.076, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:47 transreid.train INFO: Epoch[92] Iter[440/486] Loss: 0.074, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:50 transreid.train INFO: Epoch[92] Iter[460/486] Loss: 0.072, Acc: 0.997, Base Lr: 5.21e-05
2024-05-20 19:09:54 transreid.train INFO: Epoch 92 done. Time per epoch: 85.003[s] Speed: 358.4[samples/s]
2024-05-20 19:10:00 transreid.train INFO: Epoch[93] Iter[20/486] Loss: 0.122, Acc: 0.994, Base Lr: 4.86e-05
2024-05-20 19:10:04 transreid.train INFO: Epoch[93] Iter[40/486] Loss: 0.111, Acc: 0.995, Base Lr: 4.86e-05
2024-05-20 19:10:07 transreid.train INFO: Epoch[93] Iter[60/486] Loss: 0.103, Acc: 0.996, Base Lr: 4.86e-05
2024-05-20 19:10:11 transreid.train INFO: Epoch[93] Iter[80/486] Loss: 0.101, Acc: 0.996, Base Lr: 4.86e-05
2024-05-20 19:10:14 transreid.train INFO: Epoch[93] Iter[100/486] Loss: 0.102, Acc: 0.995, Base Lr: 4.86e-05
2024-05-20 19:10:18 transreid.train INFO: Epoch[93] Iter[120/486] Loss: 0.100, Acc: 0.995, Base Lr: 4.86e-05
2024-05-20 19:10:21 transreid.train INFO: Epoch[93] Iter[140/486] Loss: 0.099, Acc: 0.996, Base Lr: 4.86e-05
2024-05-20 19:10:24 transreid.train INFO: Epoch[93] Iter[160/486] Loss: 0.097, Acc: 0.996, Base Lr: 4.86e-05
2024-05-20 19:10:28 transreid.train INFO: Epoch[93] Iter[180/486] Loss: 0.095, Acc: 0.996, Base Lr: 4.86e-05
2024-05-20 19:10:31 transreid.train INFO: Epoch[93] Iter[200/486] Loss: 0.093, Acc: 0.996, Base Lr: 4.86e-05
2024-05-20 19:10:35 transreid.train INFO: Epoch[93] Iter[220/486] Loss: 0.091, Acc: 0.996, Base Lr: 4.86e-05
2024-05-20 19:10:38 transreid.train INFO: Epoch[93] Iter[240/486] Loss: 0.090, Acc: 0.996, Base Lr: 4.86e-05
2024-05-20 19:10:41 transreid.train INFO: Epoch[93] Iter[260/486] Loss: 0.088, Acc: 0.997, Base Lr: 4.86e-05
2024-05-20 19:10:45 transreid.train INFO: Epoch[93] Iter[280/486] Loss: 0.086, Acc: 0.997, Base Lr: 4.86e-05
2024-05-20 19:10:48 transreid.train INFO: Epoch[93] Iter[300/486] Loss: 0.084, Acc: 0.997, Base Lr: 4.86e-05
2024-05-20 19:10:52 transreid.train INFO: Epoch[93] Iter[320/486] Loss: 0.084, Acc: 0.997, Base Lr: 4.86e-05
2024-05-20 19:10:55 transreid.train INFO: Epoch[93] Iter[340/486] Loss: 0.083, Acc: 0.997, Base Lr: 4.86e-05
2024-05-20 19:10:59 transreid.train INFO: Epoch[93] Iter[360/486] Loss: 0.081, Acc: 0.997, Base Lr: 4.86e-05
2024-05-20 19:11:02 transreid.train INFO: Epoch[93] Iter[380/486] Loss: 0.080, Acc: 0.997, Base Lr: 4.86e-05
2024-05-20 19:11:05 transreid.train INFO: Epoch[93] Iter[400/486] Loss: 0.078, Acc: 0.997, Base Lr: 4.86e-05
2024-05-20 19:11:09 transreid.train INFO: Epoch[93] Iter[420/486] Loss: 0.076, Acc: 0.997, Base Lr: 4.86e-05
2024-05-20 19:11:12 transreid.train INFO: Epoch[93] Iter[440/486] Loss: 0.075, Acc: 0.997, Base Lr: 4.86e-05
2024-05-20 19:11:16 transreid.train INFO: Epoch[93] Iter[460/486] Loss: 0.073, Acc: 0.997, Base Lr: 4.86e-05
2024-05-20 19:11:19 transreid.train INFO: Epoch 93 done. Time per epoch: 85.284[s] Speed: 356.5[samples/s]
2024-05-20 19:11:27 transreid.train INFO: Epoch[94] Iter[20/486] Loss: 0.118, Acc: 0.991, Base Lr: 4.53e-05
2024-05-20 19:11:30 transreid.train INFO: Epoch[94] Iter[40/486] Loss: 0.107, Acc: 0.994, Base Lr: 4.53e-05
2024-05-20 19:11:34 transreid.train INFO: Epoch[94] Iter[60/486] Loss: 0.104, Acc: 0.994, Base Lr: 4.53e-05
2024-05-20 19:11:37 transreid.train INFO: Epoch[94] Iter[80/486] Loss: 0.103, Acc: 0.995, Base Lr: 4.53e-05
2024-05-20 19:11:41 transreid.train INFO: Epoch[94] Iter[100/486] Loss: 0.101, Acc: 0.995, Base Lr: 4.53e-05
2024-05-20 19:11:44 transreid.train INFO: Epoch[94] Iter[120/486] Loss: 0.102, Acc: 0.995, Base Lr: 4.53e-05
2024-05-20 19:11:47 transreid.train INFO: Epoch[94] Iter[140/486] Loss: 0.097, Acc: 0.996, Base Lr: 4.53e-05
2024-05-20 19:11:51 transreid.train INFO: Epoch[94] Iter[160/486] Loss: 0.096, Acc: 0.996, Base Lr: 4.53e-05
2024-05-20 19:11:54 transreid.train INFO: Epoch[94] Iter[180/486] Loss: 0.097, Acc: 0.996, Base Lr: 4.53e-05
2024-05-20 19:11:58 transreid.train INFO: Epoch[94] Iter[200/486] Loss: 0.095, Acc: 0.995, Base Lr: 4.53e-05
2024-05-20 19:12:01 transreid.train INFO: Epoch[94] Iter[220/486] Loss: 0.094, Acc: 0.995, Base Lr: 4.53e-05
2024-05-20 19:12:04 transreid.train INFO: Epoch[94] Iter[240/486] Loss: 0.092, Acc: 0.996, Base Lr: 4.53e-05
2024-05-20 19:12:08 transreid.train INFO: Epoch[94] Iter[260/486] Loss: 0.090, Acc: 0.996, Base Lr: 4.53e-05
2024-05-20 19:12:11 transreid.train INFO: Epoch[94] Iter[280/486] Loss: 0.089, Acc: 0.996, Base Lr: 4.53e-05
2024-05-20 19:12:15 transreid.train INFO: Epoch[94] Iter[300/486] Loss: 0.087, Acc: 0.996, Base Lr: 4.53e-05
2024-05-20 19:12:18 transreid.train INFO: Epoch[94] Iter[320/486] Loss: 0.085, Acc: 0.996, Base Lr: 4.53e-05
2024-05-20 19:12:21 transreid.train INFO: Epoch[94] Iter[340/486] Loss: 0.083, Acc: 0.996, Base Lr: 4.53e-05
2024-05-20 19:12:25 transreid.train INFO: Epoch[94] Iter[360/486] Loss: 0.081, Acc: 0.996, Base Lr: 4.53e-05
2024-05-20 19:12:28 transreid.train INFO: Epoch[94] Iter[380/486] Loss: 0.080, Acc: 0.996, Base Lr: 4.53e-05
2024-05-20 19:12:32 transreid.train INFO: Epoch[94] Iter[400/486] Loss: 0.078, Acc: 0.997, Base Lr: 4.53e-05
2024-05-20 19:12:35 transreid.train INFO: Epoch[94] Iter[420/486] Loss: 0.076, Acc: 0.997, Base Lr: 4.53e-05
2024-05-20 19:12:38 transreid.train INFO: Epoch[94] Iter[440/486] Loss: 0.075, Acc: 0.997, Base Lr: 4.53e-05
2024-05-20 19:12:42 transreid.train INFO: Epoch[94] Iter[460/486] Loss: 0.072, Acc: 0.997, Base Lr: 4.53e-05
2024-05-20 19:12:45 transreid.train INFO: Epoch 94 done. Time per epoch: 85.941[s] Speed: 353.0[samples/s]
2024-05-20 19:12:53 transreid.train INFO: Epoch[95] Iter[20/486] Loss: 0.108, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:12:56 transreid.train INFO: Epoch[95] Iter[40/486] Loss: 0.104, Acc: 0.996, Base Lr: 4.20e-05
2024-05-20 19:13:00 transreid.train INFO: Epoch[95] Iter[60/486] Loss: 0.105, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:03 transreid.train INFO: Epoch[95] Iter[80/486] Loss: 0.103, Acc: 0.996, Base Lr: 4.20e-05
2024-05-20 19:13:06 transreid.train INFO: Epoch[95] Iter[100/486] Loss: 0.101, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:10 transreid.train INFO: Epoch[95] Iter[120/486] Loss: 0.099, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:13 transreid.train INFO: Epoch[95] Iter[140/486] Loss: 0.096, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:17 transreid.train INFO: Epoch[95] Iter[160/486] Loss: 0.095, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:20 transreid.train INFO: Epoch[95] Iter[180/486] Loss: 0.093, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:24 transreid.train INFO: Epoch[95] Iter[200/486] Loss: 0.091, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:27 transreid.train INFO: Epoch[95] Iter[220/486] Loss: 0.088, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:30 transreid.train INFO: Epoch[95] Iter[240/486] Loss: 0.086, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:34 transreid.train INFO: Epoch[95] Iter[260/486] Loss: 0.086, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:37 transreid.train INFO: Epoch[95] Iter[280/486] Loss: 0.084, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:41 transreid.train INFO: Epoch[95] Iter[300/486] Loss: 0.082, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:44 transreid.train INFO: Epoch[95] Iter[320/486] Loss: 0.081, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:47 transreid.train INFO: Epoch[95] Iter[340/486] Loss: 0.079, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:51 transreid.train INFO: Epoch[95] Iter[360/486] Loss: 0.077, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:54 transreid.train INFO: Epoch[95] Iter[380/486] Loss: 0.076, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:13:58 transreid.train INFO: Epoch[95] Iter[400/486] Loss: 0.074, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:14:01 transreid.train INFO: Epoch[95] Iter[420/486] Loss: 0.072, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:14:05 transreid.train INFO: Epoch[95] Iter[440/486] Loss: 0.071, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:14:08 transreid.train INFO: Epoch[95] Iter[460/486] Loss: 0.069, Acc: 0.997, Base Lr: 4.20e-05
2024-05-20 19:14:11 transreid.train INFO: Epoch 95 done. Time per epoch: 86.028[s] Speed: 352.6[samples/s]
2024-05-20 19:14:19 transreid.train INFO: Epoch[96] Iter[20/486] Loss: 0.104, Acc: 0.995, Base Lr: 3.89e-05
2024-05-20 19:14:22 transreid.train INFO: Epoch[96] Iter[40/486] Loss: 0.103, Acc: 0.994, Base Lr: 3.89e-05
2024-05-20 19:14:26 transreid.train INFO: Epoch[96] Iter[60/486] Loss: 0.101, Acc: 0.995, Base Lr: 3.89e-05
2024-05-20 19:14:29 transreid.train INFO: Epoch[96] Iter[80/486] Loss: 0.099, Acc: 0.995, Base Lr: 3.89e-05
2024-05-20 19:14:33 transreid.train INFO: Epoch[96] Iter[100/486] Loss: 0.100, Acc: 0.995, Base Lr: 3.89e-05
2024-05-20 19:14:36 transreid.train INFO: Epoch[96] Iter[120/486] Loss: 0.097, Acc: 0.996, Base Lr: 3.89e-05
2024-05-20 19:14:39 transreid.train INFO: Epoch[96] Iter[140/486] Loss: 0.095, Acc: 0.996, Base Lr: 3.89e-05
2024-05-20 19:14:43 transreid.train INFO: Epoch[96] Iter[160/486] Loss: 0.095, Acc: 0.996, Base Lr: 3.89e-05
2024-05-20 19:14:46 transreid.train INFO: Epoch[96] Iter[180/486] Loss: 0.094, Acc: 0.996, Base Lr: 3.89e-05
2024-05-20 19:14:50 transreid.train INFO: Epoch[96] Iter[200/486] Loss: 0.093, Acc: 0.996, Base Lr: 3.89e-05
2024-05-20 19:14:53 transreid.train INFO: Epoch[96] Iter[220/486] Loss: 0.092, Acc: 0.996, Base Lr: 3.89e-05
2024-05-20 19:14:56 transreid.train INFO: Epoch[96] Iter[240/486] Loss: 0.090, Acc: 0.996, Base Lr: 3.89e-05
2024-05-20 19:15:00 transreid.train INFO: Epoch[96] Iter[260/486] Loss: 0.089, Acc: 0.996, Base Lr: 3.89e-05
2024-05-20 19:15:03 transreid.train INFO: Epoch[96] Iter[280/486] Loss: 0.086, Acc: 0.996, Base Lr: 3.89e-05
2024-05-20 19:15:07 transreid.train INFO: Epoch[96] Iter[300/486] Loss: 0.085, Acc: 0.996, Base Lr: 3.89e-05
2024-05-20 19:15:10 transreid.train INFO: Epoch[96] Iter[320/486] Loss: 0.084, Acc: 0.996, Base Lr: 3.89e-05
2024-05-20 19:15:14 transreid.train INFO: Epoch[96] Iter[340/486] Loss: 0.083, Acc: 0.996, Base Lr: 3.89e-05
2024-05-20 19:15:17 transreid.train INFO: Epoch[96] Iter[360/486] Loss: 0.082, Acc: 0.997, Base Lr: 3.89e-05
2024-05-20 19:15:20 transreid.train INFO: Epoch[96] Iter[380/486] Loss: 0.080, Acc: 0.997, Base Lr: 3.89e-05
2024-05-20 19:15:24 transreid.train INFO: Epoch[96] Iter[400/486] Loss: 0.078, Acc: 0.997, Base Lr: 3.89e-05
2024-05-20 19:15:27 transreid.train INFO: Epoch[96] Iter[420/486] Loss: 0.076, Acc: 0.997, Base Lr: 3.89e-05
2024-05-20 19:15:31 transreid.train INFO: Epoch[96] Iter[440/486] Loss: 0.074, Acc: 0.997, Base Lr: 3.89e-05
2024-05-20 19:15:34 transreid.train INFO: Epoch[96] Iter[460/486] Loss: 0.073, Acc: 0.997, Base Lr: 3.89e-05
2024-05-20 19:15:37 transreid.train INFO: Epoch 96 done. Time per epoch: 86.269[s] Speed: 351.6[samples/s]
2024-05-20 19:15:45 transreid.train INFO: Epoch[97] Iter[20/486] Loss: 0.118, Acc: 0.998, Base Lr: 3.59e-05
2024-05-20 19:15:49 transreid.train INFO: Epoch[97] Iter[40/486] Loss: 0.110, Acc: 0.997, Base Lr: 3.59e-05
2024-05-20 19:15:52 transreid.train INFO: Epoch[97] Iter[60/486] Loss: 0.105, Acc: 0.998, Base Lr: 3.59e-05
2024-05-20 19:15:55 transreid.train INFO: Epoch[97] Iter[80/486] Loss: 0.102, Acc: 0.998, Base Lr: 3.59e-05
2024-05-20 19:15:59 transreid.train INFO: Epoch[97] Iter[100/486] Loss: 0.099, Acc: 0.997, Base Lr: 3.59e-05
2024-05-20 19:16:02 transreid.train INFO: Epoch[97] Iter[120/486] Loss: 0.098, Acc: 0.997, Base Lr: 3.59e-05
2024-05-20 19:16:06 transreid.train INFO: Epoch[97] Iter[140/486] Loss: 0.095, Acc: 0.998, Base Lr: 3.59e-05
2024-05-20 19:16:09 transreid.train INFO: Epoch[97] Iter[160/486] Loss: 0.093, Acc: 0.997, Base Lr: 3.59e-05
2024-05-20 19:16:12 transreid.train INFO: Epoch[97] Iter[180/486] Loss: 0.091, Acc: 0.998, Base Lr: 3.59e-05
2024-05-20 19:16:16 transreid.train INFO: Epoch[97] Iter[200/486] Loss: 0.090, Acc: 0.997, Base Lr: 3.59e-05
2024-05-20 19:16:19 transreid.train INFO: Epoch[97] Iter[220/486] Loss: 0.088, Acc: 0.997, Base Lr: 3.59e-05
2024-05-20 19:16:23 transreid.train INFO: Epoch[97] Iter[240/486] Loss: 0.088, Acc: 0.997, Base Lr: 3.59e-05
2024-05-20 19:16:26 transreid.train INFO: Epoch[97] Iter[260/486] Loss: 0.086, Acc: 0.998, Base Lr: 3.59e-05
2024-05-20 19:16:30 transreid.train INFO: Epoch[97] Iter[280/486] Loss: 0.084, Acc: 0.998, Base Lr: 3.59e-05
2024-05-20 19:16:33 transreid.train INFO: Epoch[97] Iter[300/486] Loss: 0.083, Acc: 0.998, Base Lr: 3.59e-05
2024-05-20 19:16:36 transreid.train INFO: Epoch[97] Iter[320/486] Loss: 0.082, Acc: 0.997, Base Lr: 3.59e-05
2024-05-20 19:16:40 transreid.train INFO: Epoch[97] Iter[340/486] Loss: 0.080, Acc: 0.997, Base Lr: 3.59e-05
2024-05-20 19:16:43 transreid.train INFO: Epoch[97] Iter[360/486] Loss: 0.079, Acc: 0.997, Base Lr: 3.59e-05
2024-05-20 19:16:47 transreid.train INFO: Epoch[97] Iter[380/486] Loss: 0.078, Acc: 0.997, Base Lr: 3.59e-05
2024-05-20 19:16:50 transreid.train INFO: Epoch[97] Iter[400/486] Loss: 0.076, Acc: 0.997, Base Lr: 3.59e-05
2024-05-20 19:16:54 transreid.train INFO: Epoch[97] Iter[420/486] Loss: 0.074, Acc: 0.997, Base Lr: 3.59e-05
2024-05-20 19:16:57 transreid.train INFO: Epoch[97] Iter[440/486] Loss: 0.073, Acc: 0.997, Base Lr: 3.59e-05
2024-05-20 19:17:00 transreid.train INFO: Epoch[97] Iter[460/486] Loss: 0.072, Acc: 0.997, Base Lr: 3.59e-05
2024-05-20 19:17:03 transreid.train INFO: Epoch 97 done. Time per epoch: 85.868[s] Speed: 351.8[samples/s]
2024-05-20 19:17:11 transreid.train INFO: Epoch[98] Iter[20/486] Loss: 0.096, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:17:14 transreid.train INFO: Epoch[98] Iter[40/486] Loss: 0.102, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:17:18 transreid.train INFO: Epoch[98] Iter[60/486] Loss: 0.105, Acc: 0.996, Base Lr: 3.30e-05
2024-05-20 19:17:21 transreid.train INFO: Epoch[98] Iter[80/486] Loss: 0.103, Acc: 0.996, Base Lr: 3.30e-05
2024-05-20 19:17:25 transreid.train INFO: Epoch[98] Iter[100/486] Loss: 0.097, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:17:28 transreid.train INFO: Epoch[98] Iter[120/486] Loss: 0.095, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:17:31 transreid.train INFO: Epoch[98] Iter[140/486] Loss: 0.093, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:17:35 transreid.train INFO: Epoch[98] Iter[160/486] Loss: 0.091, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:17:38 transreid.train INFO: Epoch[98] Iter[180/486] Loss: 0.093, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:17:42 transreid.train INFO: Epoch[98] Iter[200/486] Loss: 0.091, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:17:45 transreid.train INFO: Epoch[98] Iter[220/486] Loss: 0.090, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:17:48 transreid.train INFO: Epoch[98] Iter[240/486] Loss: 0.089, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:17:52 transreid.train INFO: Epoch[98] Iter[260/486] Loss: 0.087, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:17:55 transreid.train INFO: Epoch[98] Iter[280/486] Loss: 0.085, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:17:59 transreid.train INFO: Epoch[98] Iter[300/486] Loss: 0.084, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:18:02 transreid.train INFO: Epoch[98] Iter[320/486] Loss: 0.083, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:18:06 transreid.train INFO: Epoch[98] Iter[340/486] Loss: 0.081, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:18:09 transreid.train INFO: Epoch[98] Iter[360/486] Loss: 0.080, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:18:12 transreid.train INFO: Epoch[98] Iter[380/486] Loss: 0.078, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:18:16 transreid.train INFO: Epoch[98] Iter[400/486] Loss: 0.077, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:18:19 transreid.train INFO: Epoch[98] Iter[420/486] Loss: 0.075, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:18:23 transreid.train INFO: Epoch[98] Iter[440/486] Loss: 0.074, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:18:26 transreid.train INFO: Epoch[98] Iter[460/486] Loss: 0.072, Acc: 0.997, Base Lr: 3.30e-05
2024-05-20 19:18:28 transreid.train INFO: Epoch 98 done. Time per epoch: 85.275[s] Speed: 352.7[samples/s]
2024-05-20 19:18:36 transreid.train INFO: Epoch[99] Iter[20/486] Loss: 0.097, Acc: 0.993, Base Lr: 3.02e-05
2024-05-20 19:18:40 transreid.train INFO: Epoch[99] Iter[40/486] Loss: 0.090, Acc: 0.995, Base Lr: 3.02e-05
2024-05-20 19:18:43 transreid.train INFO: Epoch[99] Iter[60/486] Loss: 0.090, Acc: 0.995, Base Lr: 3.02e-05
2024-05-20 19:18:47 transreid.train INFO: Epoch[99] Iter[80/486] Loss: 0.090, Acc: 0.995, Base Lr: 3.02e-05
2024-05-20 19:18:50 transreid.train INFO: Epoch[99] Iter[100/486] Loss: 0.091, Acc: 0.995, Base Lr: 3.02e-05
2024-05-20 19:18:53 transreid.train INFO: Epoch[99] Iter[120/486] Loss: 0.091, Acc: 0.995, Base Lr: 3.02e-05
2024-05-20 19:18:57 transreid.train INFO: Epoch[99] Iter[140/486] Loss: 0.089, Acc: 0.996, Base Lr: 3.02e-05
2024-05-20 19:19:00 transreid.train INFO: Epoch[99] Iter[160/486] Loss: 0.088, Acc: 0.996, Base Lr: 3.02e-05
2024-05-20 19:19:04 transreid.train INFO: Epoch[99] Iter[180/486] Loss: 0.087, Acc: 0.996, Base Lr: 3.02e-05
2024-05-20 19:19:07 transreid.train INFO: Epoch[99] Iter[200/486] Loss: 0.086, Acc: 0.996, Base Lr: 3.02e-05
2024-05-20 19:19:10 transreid.train INFO: Epoch[99] Iter[220/486] Loss: 0.086, Acc: 0.996, Base Lr: 3.02e-05
2024-05-20 19:19:14 transreid.train INFO: Epoch[99] Iter[240/486] Loss: 0.085, Acc: 0.996, Base Lr: 3.02e-05
2024-05-20 19:19:17 transreid.train INFO: Epoch[99] Iter[260/486] Loss: 0.083, Acc: 0.997, Base Lr: 3.02e-05
2024-05-20 19:19:21 transreid.train INFO: Epoch[99] Iter[280/486] Loss: 0.082, Acc: 0.996, Base Lr: 3.02e-05
2024-05-20 19:19:24 transreid.train INFO: Epoch[99] Iter[300/486] Loss: 0.080, Acc: 0.997, Base Lr: 3.02e-05
2024-05-20 19:19:28 transreid.train INFO: Epoch[99] Iter[320/486] Loss: 0.080, Acc: 0.997, Base Lr: 3.02e-05
2024-05-20 19:19:31 transreid.train INFO: Epoch[99] Iter[340/486] Loss: 0.078, Acc: 0.996, Base Lr: 3.02e-05
2024-05-20 19:19:35 transreid.train INFO: Epoch[99] Iter[360/486] Loss: 0.077, Acc: 0.996, Base Lr: 3.02e-05
2024-05-20 19:19:38 transreid.train INFO: Epoch[99] Iter[380/486] Loss: 0.076, Acc: 0.996, Base Lr: 3.02e-05
2024-05-20 19:19:42 transreid.train INFO: Epoch[99] Iter[400/486] Loss: 0.075, Acc: 0.996, Base Lr: 3.02e-05
2024-05-20 19:19:45 transreid.train INFO: Epoch[99] Iter[420/486] Loss: 0.074, Acc: 0.996, Base Lr: 3.02e-05
2024-05-20 19:19:48 transreid.train INFO: Epoch[99] Iter[440/486] Loss: 0.072, Acc: 0.996, Base Lr: 3.02e-05
2024-05-20 19:19:52 transreid.train INFO: Epoch[99] Iter[460/486] Loss: 0.070, Acc: 0.996, Base Lr: 3.02e-05
2024-05-20 19:19:55 transreid.train INFO: Epoch 99 done. Time per epoch: 86.523[s] Speed: 350.6[samples/s]
2024-05-20 19:20:03 transreid.train INFO: Epoch[100] Iter[20/486] Loss: 0.104, Acc: 0.994, Base Lr: 2.75e-05
2024-05-20 19:20:06 transreid.train INFO: Epoch[100] Iter[40/486] Loss: 0.113, Acc: 0.993, Base Lr: 2.75e-05
2024-05-20 19:20:10 transreid.train INFO: Epoch[100] Iter[60/486] Loss: 0.104, Acc: 0.995, Base Lr: 2.75e-05
2024-05-20 19:20:13 transreid.train INFO: Epoch[100] Iter[80/486] Loss: 0.104, Acc: 0.995, Base Lr: 2.75e-05
2024-05-20 19:20:17 transreid.train INFO: Epoch[100] Iter[100/486] Loss: 0.099, Acc: 0.995, Base Lr: 2.75e-05
2024-05-20 19:20:20 transreid.train INFO: Epoch[100] Iter[120/486] Loss: 0.097, Acc: 0.996, Base Lr: 2.75e-05
2024-05-20 19:20:24 transreid.train INFO: Epoch[100] Iter[140/486] Loss: 0.096, Acc: 0.996, Base Lr: 2.75e-05
2024-05-20 19:20:27 transreid.train INFO: Epoch[100] Iter[160/486] Loss: 0.094, Acc: 0.996, Base Lr: 2.75e-05
2024-05-20 19:20:30 transreid.train INFO: Epoch[100] Iter[180/486] Loss: 0.091, Acc: 0.996, Base Lr: 2.75e-05
2024-05-20 19:20:34 transreid.train INFO: Epoch[100] Iter[200/486] Loss: 0.090, Acc: 0.996, Base Lr: 2.75e-05
2024-05-20 19:20:37 transreid.train INFO: Epoch[100] Iter[220/486] Loss: 0.088, Acc: 0.996, Base Lr: 2.75e-05
2024-05-20 19:20:41 transreid.train INFO: Epoch[100] Iter[240/486] Loss: 0.088, Acc: 0.996, Base Lr: 2.75e-05
2024-05-20 19:20:44 transreid.train INFO: Epoch[100] Iter[260/486] Loss: 0.086, Acc: 0.996, Base Lr: 2.75e-05
2024-05-20 19:20:48 transreid.train INFO: Epoch[100] Iter[280/486] Loss: 0.084, Acc: 0.996, Base Lr: 2.75e-05
2024-05-20 19:20:51 transreid.train INFO: Epoch[100] Iter[300/486] Loss: 0.082, Acc: 0.997, Base Lr: 2.75e-05
2024-05-20 19:20:54 transreid.train INFO: Epoch[100] Iter[320/486] Loss: 0.081, Acc: 0.997, Base Lr: 2.75e-05
2024-05-20 19:20:58 transreid.train INFO: Epoch[100] Iter[340/486] Loss: 0.080, Acc: 0.997, Base Lr: 2.75e-05
2024-05-20 19:21:01 transreid.train INFO: Epoch[100] Iter[360/486] Loss: 0.078, Acc: 0.997, Base Lr: 2.75e-05
2024-05-20 19:21:05 transreid.train INFO: Epoch[100] Iter[380/486] Loss: 0.076, Acc: 0.997, Base Lr: 2.75e-05
2024-05-20 19:21:08 transreid.train INFO: Epoch[100] Iter[400/486] Loss: 0.075, Acc: 0.997, Base Lr: 2.75e-05
2024-05-20 19:21:12 transreid.train INFO: Epoch[100] Iter[420/486] Loss: 0.073, Acc: 0.997, Base Lr: 2.75e-05
2024-05-20 19:21:15 transreid.train INFO: Epoch[100] Iter[440/486] Loss: 0.071, Acc: 0.997, Base Lr: 2.75e-05
2024-05-20 19:21:18 transreid.train INFO: Epoch[100] Iter[460/486] Loss: 0.070, Acc: 0.997, Base Lr: 2.75e-05
2024-05-20 19:21:21 transreid.train INFO: Epoch 100 done. Time per epoch: 86.464[s] Speed: 350.9[samples/s]
2024-05-20 19:24:54 transreid.train INFO: Validation Results - Epoch: 100
2024-05-20 19:24:54 transreid.train INFO: mAP: 69.2%
2024-05-20 19:24:54 transreid.train INFO: CMC curve, Rank-1  :87.5%
2024-05-20 19:24:54 transreid.train INFO: CMC curve, Rank-5  :93.3%
2024-05-20 19:24:54 transreid.train INFO: CMC curve, Rank-10 :94.9%
2024-05-20 19:25:01 transreid.train INFO: Epoch[101] Iter[20/486] Loss: 0.099, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:25:05 transreid.train INFO: Epoch[101] Iter[40/486] Loss: 0.104, Acc: 0.995, Base Lr: 2.50e-05
2024-05-20 19:25:08 transreid.train INFO: Epoch[101] Iter[60/486] Loss: 0.099, Acc: 0.995, Base Lr: 2.50e-05
2024-05-20 19:25:11 transreid.train INFO: Epoch[101] Iter[80/486] Loss: 0.095, Acc: 0.995, Base Lr: 2.50e-05
2024-05-20 19:25:15 transreid.train INFO: Epoch[101] Iter[100/486] Loss: 0.095, Acc: 0.995, Base Lr: 2.50e-05
2024-05-20 19:25:18 transreid.train INFO: Epoch[101] Iter[120/486] Loss: 0.093, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:25:22 transreid.train INFO: Epoch[101] Iter[140/486] Loss: 0.091, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:25:25 transreid.train INFO: Epoch[101] Iter[160/486] Loss: 0.090, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:25:28 transreid.train INFO: Epoch[101] Iter[180/486] Loss: 0.089, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:25:32 transreid.train INFO: Epoch[101] Iter[200/486] Loss: 0.089, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:25:35 transreid.train INFO: Epoch[101] Iter[220/486] Loss: 0.087, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:25:38 transreid.train INFO: Epoch[101] Iter[240/486] Loss: 0.086, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:25:42 transreid.train INFO: Epoch[101] Iter[260/486] Loss: 0.084, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:25:45 transreid.train INFO: Epoch[101] Iter[280/486] Loss: 0.083, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:25:49 transreid.train INFO: Epoch[101] Iter[300/486] Loss: 0.082, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:25:52 transreid.train INFO: Epoch[101] Iter[320/486] Loss: 0.081, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:25:55 transreid.train INFO: Epoch[101] Iter[340/486] Loss: 0.079, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:25:59 transreid.train INFO: Epoch[101] Iter[360/486] Loss: 0.079, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:26:02 transreid.train INFO: Epoch[101] Iter[380/486] Loss: 0.077, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:26:06 transreid.train INFO: Epoch[101] Iter[400/486] Loss: 0.076, Acc: 0.996, Base Lr: 2.50e-05
2024-05-20 19:26:09 transreid.train INFO: Epoch[101] Iter[420/486] Loss: 0.074, Acc: 0.997, Base Lr: 2.50e-05
2024-05-20 19:26:12 transreid.train INFO: Epoch[101] Iter[440/486] Loss: 0.073, Acc: 0.997, Base Lr: 2.50e-05
2024-05-20 19:26:16 transreid.train INFO: Epoch[101] Iter[460/486] Loss: 0.071, Acc: 0.997, Base Lr: 2.50e-05
2024-05-20 19:26:19 transreid.train INFO: Epoch 101 done. Time per epoch: 85.131[s] Speed: 357.9[samples/s]
2024-05-20 19:26:26 transreid.train INFO: Epoch[102] Iter[20/486] Loss: 0.094, Acc: 0.998, Base Lr: 2.26e-05
2024-05-20 19:26:30 transreid.train INFO: Epoch[102] Iter[40/486] Loss: 0.097, Acc: 0.996, Base Lr: 2.26e-05
2024-05-20 19:26:33 transreid.train INFO: Epoch[102] Iter[60/486] Loss: 0.098, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:26:37 transreid.train INFO: Epoch[102] Iter[80/486] Loss: 0.096, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:26:40 transreid.train INFO: Epoch[102] Iter[100/486] Loss: 0.095, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:26:43 transreid.train INFO: Epoch[102] Iter[120/486] Loss: 0.091, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:26:47 transreid.train INFO: Epoch[102] Iter[140/486] Loss: 0.092, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:26:50 transreid.train INFO: Epoch[102] Iter[160/486] Loss: 0.091, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:26:53 transreid.train INFO: Epoch[102] Iter[180/486] Loss: 0.089, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:26:57 transreid.train INFO: Epoch[102] Iter[200/486] Loss: 0.088, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:27:00 transreid.train INFO: Epoch[102] Iter[220/486] Loss: 0.087, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:27:04 transreid.train INFO: Epoch[102] Iter[240/486] Loss: 0.085, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:27:07 transreid.train INFO: Epoch[102] Iter[260/486] Loss: 0.084, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:27:10 transreid.train INFO: Epoch[102] Iter[280/486] Loss: 0.084, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:27:14 transreid.train INFO: Epoch[102] Iter[300/486] Loss: 0.082, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:27:17 transreid.train INFO: Epoch[102] Iter[320/486] Loss: 0.081, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:27:20 transreid.train INFO: Epoch[102] Iter[340/486] Loss: 0.079, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:27:24 transreid.train INFO: Epoch[102] Iter[360/486] Loss: 0.077, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:27:27 transreid.train INFO: Epoch[102] Iter[380/486] Loss: 0.076, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:27:31 transreid.train INFO: Epoch[102] Iter[400/486] Loss: 0.074, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:27:34 transreid.train INFO: Epoch[102] Iter[420/486] Loss: 0.073, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:27:37 transreid.train INFO: Epoch[102] Iter[440/486] Loss: 0.071, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:27:41 transreid.train INFO: Epoch[102] Iter[460/486] Loss: 0.070, Acc: 0.997, Base Lr: 2.26e-05
2024-05-20 19:27:43 transreid.train INFO: Epoch 102 done. Time per epoch: 84.083[s] Speed: 359.3[samples/s]
2024-05-20 19:27:50 transreid.train INFO: Epoch[103] Iter[20/486] Loss: 0.101, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:27:54 transreid.train INFO: Epoch[103] Iter[40/486] Loss: 0.092, Acc: 0.998, Base Lr: 2.02e-05
2024-05-20 19:27:57 transreid.train INFO: Epoch[103] Iter[60/486] Loss: 0.093, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:00 transreid.train INFO: Epoch[103] Iter[80/486] Loss: 0.093, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:04 transreid.train INFO: Epoch[103] Iter[100/486] Loss: 0.092, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:07 transreid.train INFO: Epoch[103] Iter[120/486] Loss: 0.091, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:11 transreid.train INFO: Epoch[103] Iter[140/486] Loss: 0.090, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:14 transreid.train INFO: Epoch[103] Iter[160/486] Loss: 0.088, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:17 transreid.train INFO: Epoch[103] Iter[180/486] Loss: 0.087, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:21 transreid.train INFO: Epoch[103] Iter[200/486] Loss: 0.085, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:24 transreid.train INFO: Epoch[103] Iter[220/486] Loss: 0.083, Acc: 0.998, Base Lr: 2.02e-05
2024-05-20 19:28:27 transreid.train INFO: Epoch[103] Iter[240/486] Loss: 0.082, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:31 transreid.train INFO: Epoch[103] Iter[260/486] Loss: 0.081, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:34 transreid.train INFO: Epoch[103] Iter[280/486] Loss: 0.080, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:38 transreid.train INFO: Epoch[103] Iter[300/486] Loss: 0.078, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:41 transreid.train INFO: Epoch[103] Iter[320/486] Loss: 0.077, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:44 transreid.train INFO: Epoch[103] Iter[340/486] Loss: 0.076, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:48 transreid.train INFO: Epoch[103] Iter[360/486] Loss: 0.075, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:51 transreid.train INFO: Epoch[103] Iter[380/486] Loss: 0.074, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:54 transreid.train INFO: Epoch[103] Iter[400/486] Loss: 0.072, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:28:58 transreid.train INFO: Epoch[103] Iter[420/486] Loss: 0.070, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:29:01 transreid.train INFO: Epoch[103] Iter[440/486] Loss: 0.068, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:29:05 transreid.train INFO: Epoch[103] Iter[460/486] Loss: 0.068, Acc: 0.997, Base Lr: 2.02e-05
2024-05-20 19:29:08 transreid.train INFO: Epoch 103 done. Time per epoch: 84.274[s] Speed: 360.0[samples/s]
2024-05-20 19:29:15 transreid.train INFO: Epoch[104] Iter[20/486] Loss: 0.107, Acc: 0.994, Base Lr: 1.81e-05
2024-05-20 19:29:18 transreid.train INFO: Epoch[104] Iter[40/486] Loss: 0.102, Acc: 0.996, Base Lr: 1.81e-05
2024-05-20 19:29:21 transreid.train INFO: Epoch[104] Iter[60/486] Loss: 0.098, Acc: 0.996, Base Lr: 1.81e-05
2024-05-20 19:29:25 transreid.train INFO: Epoch[104] Iter[80/486] Loss: 0.096, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:29:28 transreid.train INFO: Epoch[104] Iter[100/486] Loss: 0.093, Acc: 0.998, Base Lr: 1.81e-05
2024-05-20 19:29:32 transreid.train INFO: Epoch[104] Iter[120/486] Loss: 0.091, Acc: 0.998, Base Lr: 1.81e-05
2024-05-20 19:29:35 transreid.train INFO: Epoch[104] Iter[140/486] Loss: 0.089, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:29:38 transreid.train INFO: Epoch[104] Iter[160/486] Loss: 0.089, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:29:42 transreid.train INFO: Epoch[104] Iter[180/486] Loss: 0.088, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:29:45 transreid.train INFO: Epoch[104] Iter[200/486] Loss: 0.086, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:29:48 transreid.train INFO: Epoch[104] Iter[220/486] Loss: 0.086, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:29:52 transreid.train INFO: Epoch[104] Iter[240/486] Loss: 0.084, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:29:55 transreid.train INFO: Epoch[104] Iter[260/486] Loss: 0.083, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:29:59 transreid.train INFO: Epoch[104] Iter[280/486] Loss: 0.082, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:30:02 transreid.train INFO: Epoch[104] Iter[300/486] Loss: 0.081, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:30:05 transreid.train INFO: Epoch[104] Iter[320/486] Loss: 0.079, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:30:09 transreid.train INFO: Epoch[104] Iter[340/486] Loss: 0.078, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:30:12 transreid.train INFO: Epoch[104] Iter[360/486] Loss: 0.076, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:30:16 transreid.train INFO: Epoch[104] Iter[380/486] Loss: 0.075, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:30:19 transreid.train INFO: Epoch[104] Iter[400/486] Loss: 0.073, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:30:23 transreid.train INFO: Epoch[104] Iter[420/486] Loss: 0.072, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:30:26 transreid.train INFO: Epoch[104] Iter[440/486] Loss: 0.070, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:30:29 transreid.train INFO: Epoch[104] Iter[460/486] Loss: 0.069, Acc: 0.997, Base Lr: 1.81e-05
2024-05-20 19:30:32 transreid.train INFO: Epoch 104 done. Time per epoch: 84.435[s] Speed: 357.8[samples/s]
2024-05-20 19:30:39 transreid.train INFO: Epoch[105] Iter[20/486] Loss: 0.088, Acc: 0.998, Base Lr: 1.60e-05
2024-05-20 19:30:43 transreid.train INFO: Epoch[105] Iter[40/486] Loss: 0.090, Acc: 0.998, Base Lr: 1.60e-05
2024-05-20 19:30:46 transreid.train INFO: Epoch[105] Iter[60/486] Loss: 0.092, Acc: 0.998, Base Lr: 1.60e-05
2024-05-20 19:30:49 transreid.train INFO: Epoch[105] Iter[80/486] Loss: 0.090, Acc: 0.997, Base Lr: 1.60e-05
2024-05-20 19:30:53 transreid.train INFO: Epoch[105] Iter[100/486] Loss: 0.089, Acc: 0.997, Base Lr: 1.60e-05
2024-05-20 19:30:56 transreid.train INFO: Epoch[105] Iter[120/486] Loss: 0.087, Acc: 0.997, Base Lr: 1.60e-05
2024-05-20 19:30:59 transreid.train INFO: Epoch[105] Iter[140/486] Loss: 0.086, Acc: 0.998, Base Lr: 1.60e-05
2024-05-20 19:31:03 transreid.train INFO: Epoch[105] Iter[160/486] Loss: 0.086, Acc: 0.998, Base Lr: 1.60e-05
2024-05-20 19:31:06 transreid.train INFO: Epoch[105] Iter[180/486] Loss: 0.086, Acc: 0.997, Base Lr: 1.60e-05
2024-05-20 19:31:10 transreid.train INFO: Epoch[105] Iter[200/486] Loss: 0.084, Acc: 0.997, Base Lr: 1.60e-05
2024-05-20 19:31:13 transreid.train INFO: Epoch[105] Iter[220/486] Loss: 0.083, Acc: 0.997, Base Lr: 1.60e-05
2024-05-20 19:31:16 transreid.train INFO: Epoch[105] Iter[240/486] Loss: 0.081, Acc: 0.997, Base Lr: 1.60e-05
2024-05-20 19:31:20 transreid.train INFO: Epoch[105] Iter[260/486] Loss: 0.080, Acc: 0.997, Base Lr: 1.60e-05
2024-05-20 19:31:23 transreid.train INFO: Epoch[105] Iter[280/486] Loss: 0.078, Acc: 0.997, Base Lr: 1.60e-05
2024-05-20 19:31:27 transreid.train INFO: Epoch[105] Iter[300/486] Loss: 0.077, Acc: 0.998, Base Lr: 1.60e-05
2024-05-20 19:31:30 transreid.train INFO: Epoch[105] Iter[320/486] Loss: 0.075, Acc: 0.998, Base Lr: 1.60e-05
2024-05-20 19:31:33 transreid.train INFO: Epoch[105] Iter[340/486] Loss: 0.074, Acc: 0.998, Base Lr: 1.60e-05
2024-05-20 19:31:37 transreid.train INFO: Epoch[105] Iter[360/486] Loss: 0.072, Acc: 0.998, Base Lr: 1.60e-05
2024-05-20 19:31:40 transreid.train INFO: Epoch[105] Iter[380/486] Loss: 0.071, Acc: 0.998, Base Lr: 1.60e-05
2024-05-20 19:31:44 transreid.train INFO: Epoch[105] Iter[400/486] Loss: 0.070, Acc: 0.998, Base Lr: 1.60e-05
2024-05-20 19:31:47 transreid.train INFO: Epoch[105] Iter[420/486] Loss: 0.069, Acc: 0.998, Base Lr: 1.60e-05
2024-05-20 19:31:50 transreid.train INFO: Epoch[105] Iter[440/486] Loss: 0.067, Acc: 0.998, Base Lr: 1.60e-05
2024-05-20 19:31:54 transreid.train INFO: Epoch[105] Iter[460/486] Loss: 0.065, Acc: 0.998, Base Lr: 1.60e-05
2024-05-20 19:31:56 transreid.train INFO: Epoch 105 done. Time per epoch: 84.377[s] Speed: 357.3[samples/s]
2024-05-20 19:32:04 transreid.train INFO: Epoch[106] Iter[20/486] Loss: 0.096, Acc: 0.998, Base Lr: 1.41e-05
2024-05-20 19:32:08 transreid.train INFO: Epoch[106] Iter[40/486] Loss: 0.098, Acc: 0.997, Base Lr: 1.41e-05
2024-05-20 19:32:11 transreid.train INFO: Epoch[106] Iter[60/486] Loss: 0.097, Acc: 0.997, Base Lr: 1.41e-05
2024-05-20 19:32:15 transreid.train INFO: Epoch[106] Iter[80/486] Loss: 0.097, Acc: 0.996, Base Lr: 1.41e-05
2024-05-20 19:32:18 transreid.train INFO: Epoch[106] Iter[100/486] Loss: 0.096, Acc: 0.996, Base Lr: 1.41e-05
2024-05-20 19:32:21 transreid.train INFO: Epoch[106] Iter[120/486] Loss: 0.094, Acc: 0.996, Base Lr: 1.41e-05
2024-05-20 19:32:25 transreid.train INFO: Epoch[106] Iter[140/486] Loss: 0.093, Acc: 0.996, Base Lr: 1.41e-05
2024-05-20 19:32:28 transreid.train INFO: Epoch[106] Iter[160/486] Loss: 0.091, Acc: 0.996, Base Lr: 1.41e-05
2024-05-20 19:32:32 transreid.train INFO: Epoch[106] Iter[180/486] Loss: 0.091, Acc: 0.996, Base Lr: 1.41e-05
2024-05-20 19:32:35 transreid.train INFO: Epoch[106] Iter[200/486] Loss: 0.089, Acc: 0.996, Base Lr: 1.41e-05
2024-05-20 19:32:39 transreid.train INFO: Epoch[106] Iter[220/486] Loss: 0.088, Acc: 0.996, Base Lr: 1.41e-05
2024-05-20 19:32:42 transreid.train INFO: Epoch[106] Iter[240/486] Loss: 0.087, Acc: 0.996, Base Lr: 1.41e-05
2024-05-20 19:32:45 transreid.train INFO: Epoch[106] Iter[260/486] Loss: 0.085, Acc: 0.996, Base Lr: 1.41e-05
2024-05-20 19:32:49 transreid.train INFO: Epoch[106] Iter[280/486] Loss: 0.084, Acc: 0.996, Base Lr: 1.41e-05
2024-05-20 19:32:52 transreid.train INFO: Epoch[106] Iter[300/486] Loss: 0.082, Acc: 0.996, Base Lr: 1.41e-05
2024-05-20 19:32:56 transreid.train INFO: Epoch[106] Iter[320/486] Loss: 0.081, Acc: 0.996, Base Lr: 1.41e-05
2024-05-20 19:32:59 transreid.train INFO: Epoch[106] Iter[340/486] Loss: 0.079, Acc: 0.997, Base Lr: 1.41e-05
2024-05-20 19:33:03 transreid.train INFO: Epoch[106] Iter[360/486] Loss: 0.077, Acc: 0.997, Base Lr: 1.41e-05
2024-05-20 19:33:06 transreid.train INFO: Epoch[106] Iter[380/486] Loss: 0.075, Acc: 0.997, Base Lr: 1.41e-05
2024-05-20 19:33:09 transreid.train INFO: Epoch[106] Iter[400/486] Loss: 0.073, Acc: 0.997, Base Lr: 1.41e-05
2024-05-20 19:33:13 transreid.train INFO: Epoch[106] Iter[420/486] Loss: 0.071, Acc: 0.997, Base Lr: 1.41e-05
2024-05-20 19:33:16 transreid.train INFO: Epoch[106] Iter[440/486] Loss: 0.070, Acc: 0.997, Base Lr: 1.41e-05
2024-05-20 19:33:20 transreid.train INFO: Epoch[106] Iter[460/486] Loss: 0.068, Acc: 0.997, Base Lr: 1.41e-05
2024-05-20 19:33:22 transreid.train INFO: Epoch 106 done. Time per epoch: 85.708[s] Speed: 352.5[samples/s]
2024-05-20 19:33:29 transreid.train INFO: Epoch[107] Iter[20/486] Loss: 0.100, Acc: 0.998, Base Lr: 1.22e-05
2024-05-20 19:33:32 transreid.train INFO: Epoch[107] Iter[40/486] Loss: 0.094, Acc: 0.997, Base Lr: 1.22e-05
2024-05-20 19:33:36 transreid.train INFO: Epoch[107] Iter[60/486] Loss: 0.090, Acc: 0.997, Base Lr: 1.22e-05
2024-05-20 19:33:39 transreid.train INFO: Epoch[107] Iter[80/486] Loss: 0.089, Acc: 0.998, Base Lr: 1.22e-05
2024-05-20 19:33:43 transreid.train INFO: Epoch[107] Iter[100/486] Loss: 0.090, Acc: 0.997, Base Lr: 1.22e-05
2024-05-20 19:33:46 transreid.train INFO: Epoch[107] Iter[120/486] Loss: 0.092, Acc: 0.997, Base Lr: 1.22e-05
2024-05-20 19:33:49 transreid.train INFO: Epoch[107] Iter[140/486] Loss: 0.090, Acc: 0.997, Base Lr: 1.22e-05
2024-05-20 19:33:53 transreid.train INFO: Epoch[107] Iter[160/486] Loss: 0.089, Acc: 0.997, Base Lr: 1.22e-05
2024-05-20 19:33:56 transreid.train INFO: Epoch[107] Iter[180/486] Loss: 0.089, Acc: 0.997, Base Lr: 1.22e-05
2024-05-20 19:33:59 transreid.train INFO: Epoch[107] Iter[200/486] Loss: 0.088, Acc: 0.997, Base Lr: 1.22e-05
2024-05-20 19:34:03 transreid.train INFO: Epoch[107] Iter[220/486] Loss: 0.085, Acc: 0.997, Base Lr: 1.22e-05
2024-05-20 19:34:06 transreid.train INFO: Epoch[107] Iter[240/486] Loss: 0.085, Acc: 0.997, Base Lr: 1.22e-05
2024-05-20 19:34:10 transreid.train INFO: Epoch[107] Iter[260/486] Loss: 0.083, Acc: 0.997, Base Lr: 1.22e-05
2024-05-20 19:34:13 transreid.train INFO: Epoch[107] Iter[280/486] Loss: 0.082, Acc: 0.997, Base Lr: 1.22e-05
2024-05-20 19:34:16 transreid.train INFO: Epoch[107] Iter[300/486] Loss: 0.080, Acc: 0.997, Base Lr: 1.22e-05
2024-05-20 19:34:20 transreid.train INFO: Epoch[107] Iter[320/486] Loss: 0.078, Acc: 0.997, Base Lr: 1.22e-05
2024-05-20 19:34:23 transreid.train INFO: Epoch[107] Iter[340/486] Loss: 0.077, Acc: 0.998, Base Lr: 1.22e-05
2024-05-20 19:34:27 transreid.train INFO: Epoch[107] Iter[360/486] Loss: 0.075, Acc: 0.998, Base Lr: 1.22e-05
2024-05-20 19:34:30 transreid.train INFO: Epoch[107] Iter[380/486] Loss: 0.073, Acc: 0.998, Base Lr: 1.22e-05
2024-05-20 19:34:33 transreid.train INFO: Epoch[107] Iter[400/486] Loss: 0.071, Acc: 0.998, Base Lr: 1.22e-05
2024-05-20 19:34:37 transreid.train INFO: Epoch[107] Iter[420/486] Loss: 0.070, Acc: 0.998, Base Lr: 1.22e-05
2024-05-20 19:34:40 transreid.train INFO: Epoch[107] Iter[440/486] Loss: 0.068, Acc: 0.998, Base Lr: 1.22e-05
2024-05-20 19:34:43 transreid.train INFO: Epoch[107] Iter[460/486] Loss: 0.067, Acc: 0.998, Base Lr: 1.22e-05
2024-05-20 19:34:46 transreid.train INFO: Epoch 107 done. Time per epoch: 84.341[s] Speed: 359.7[samples/s]
2024-05-20 19:34:54 transreid.train INFO: Epoch[108] Iter[20/486] Loss: 0.105, Acc: 0.993, Base Lr: 1.06e-05
2024-05-20 19:34:57 transreid.train INFO: Epoch[108] Iter[40/486] Loss: 0.094, Acc: 0.995, Base Lr: 1.06e-05
2024-05-20 19:35:00 transreid.train INFO: Epoch[108] Iter[60/486] Loss: 0.095, Acc: 0.995, Base Lr: 1.06e-05
2024-05-20 19:35:04 transreid.train INFO: Epoch[108] Iter[80/486] Loss: 0.093, Acc: 0.996, Base Lr: 1.06e-05
2024-05-20 19:35:07 transreid.train INFO: Epoch[108] Iter[100/486] Loss: 0.091, Acc: 0.996, Base Lr: 1.06e-05
2024-05-20 19:35:11 transreid.train INFO: Epoch[108] Iter[120/486] Loss: 0.089, Acc: 0.996, Base Lr: 1.06e-05
2024-05-20 19:35:14 transreid.train INFO: Epoch[108] Iter[140/486] Loss: 0.089, Acc: 0.996, Base Lr: 1.06e-05
2024-05-20 19:35:17 transreid.train INFO: Epoch[108] Iter[160/486] Loss: 0.089, Acc: 0.996, Base Lr: 1.06e-05
2024-05-20 19:35:21 transreid.train INFO: Epoch[108] Iter[180/486] Loss: 0.088, Acc: 0.997, Base Lr: 1.06e-05
2024-05-20 19:35:24 transreid.train INFO: Epoch[108] Iter[200/486] Loss: 0.087, Acc: 0.996, Base Lr: 1.06e-05
2024-05-20 19:35:27 transreid.train INFO: Epoch[108] Iter[220/486] Loss: 0.086, Acc: 0.997, Base Lr: 1.06e-05
2024-05-20 19:35:31 transreid.train INFO: Epoch[108] Iter[240/486] Loss: 0.085, Acc: 0.996, Base Lr: 1.06e-05
2024-05-20 19:35:34 transreid.train INFO: Epoch[108] Iter[260/486] Loss: 0.083, Acc: 0.997, Base Lr: 1.06e-05
2024-05-20 19:35:38 transreid.train INFO: Epoch[108] Iter[280/486] Loss: 0.081, Acc: 0.997, Base Lr: 1.06e-05
2024-05-20 19:35:41 transreid.train INFO: Epoch[108] Iter[300/486] Loss: 0.080, Acc: 0.997, Base Lr: 1.06e-05
2024-05-20 19:35:44 transreid.train INFO: Epoch[108] Iter[320/486] Loss: 0.078, Acc: 0.997, Base Lr: 1.06e-05
2024-05-20 19:35:48 transreid.train INFO: Epoch[108] Iter[340/486] Loss: 0.077, Acc: 0.997, Base Lr: 1.06e-05
2024-05-20 19:35:51 transreid.train INFO: Epoch[108] Iter[360/486] Loss: 0.076, Acc: 0.997, Base Lr: 1.06e-05
2024-05-20 19:35:55 transreid.train INFO: Epoch[108] Iter[380/486] Loss: 0.075, Acc: 0.997, Base Lr: 1.06e-05
2024-05-20 19:35:58 transreid.train INFO: Epoch[108] Iter[400/486] Loss: 0.074, Acc: 0.997, Base Lr: 1.06e-05
2024-05-20 19:36:01 transreid.train INFO: Epoch[108] Iter[420/486] Loss: 0.072, Acc: 0.997, Base Lr: 1.06e-05
2024-05-20 19:36:05 transreid.train INFO: Epoch[108] Iter[440/486] Loss: 0.070, Acc: 0.997, Base Lr: 1.06e-05
2024-05-20 19:36:08 transreid.train INFO: Epoch[108] Iter[460/486] Loss: 0.069, Acc: 0.997, Base Lr: 1.06e-05
2024-05-20 19:36:11 transreid.train INFO: Epoch 108 done. Time per epoch: 84.571[s] Speed: 357.9[samples/s]
2024-05-20 19:36:18 transreid.train INFO: Epoch[109] Iter[20/486] Loss: 0.081, Acc: 0.998, Base Lr: 9.02e-06
2024-05-20 19:36:22 transreid.train INFO: Epoch[109] Iter[40/486] Loss: 0.087, Acc: 0.998, Base Lr: 9.02e-06
2024-05-20 19:36:25 transreid.train INFO: Epoch[109] Iter[60/486] Loss: 0.086, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:36:28 transreid.train INFO: Epoch[109] Iter[80/486] Loss: 0.084, Acc: 0.998, Base Lr: 9.02e-06
2024-05-20 19:36:32 transreid.train INFO: Epoch[109] Iter[100/486] Loss: 0.085, Acc: 0.998, Base Lr: 9.02e-06
2024-05-20 19:36:35 transreid.train INFO: Epoch[109] Iter[120/486] Loss: 0.086, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:36:39 transreid.train INFO: Epoch[109] Iter[140/486] Loss: 0.085, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:36:42 transreid.train INFO: Epoch[109] Iter[160/486] Loss: 0.083, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:36:45 transreid.train INFO: Epoch[109] Iter[180/486] Loss: 0.082, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:36:49 transreid.train INFO: Epoch[109] Iter[200/486] Loss: 0.081, Acc: 0.998, Base Lr: 9.02e-06
2024-05-20 19:36:52 transreid.train INFO: Epoch[109] Iter[220/486] Loss: 0.081, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:36:56 transreid.train INFO: Epoch[109] Iter[240/486] Loss: 0.079, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:36:59 transreid.train INFO: Epoch[109] Iter[260/486] Loss: 0.078, Acc: 0.998, Base Lr: 9.02e-06
2024-05-20 19:37:02 transreid.train INFO: Epoch[109] Iter[280/486] Loss: 0.077, Acc: 0.998, Base Lr: 9.02e-06
2024-05-20 19:37:06 transreid.train INFO: Epoch[109] Iter[300/486] Loss: 0.077, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:37:09 transreid.train INFO: Epoch[109] Iter[320/486] Loss: 0.076, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:37:13 transreid.train INFO: Epoch[109] Iter[340/486] Loss: 0.075, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:37:16 transreid.train INFO: Epoch[109] Iter[360/486] Loss: 0.074, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:37:19 transreid.train INFO: Epoch[109] Iter[380/486] Loss: 0.072, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:37:23 transreid.train INFO: Epoch[109] Iter[400/486] Loss: 0.071, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:37:26 transreid.train INFO: Epoch[109] Iter[420/486] Loss: 0.070, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:37:30 transreid.train INFO: Epoch[109] Iter[440/486] Loss: 0.068, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:37:33 transreid.train INFO: Epoch[109] Iter[460/486] Loss: 0.066, Acc: 0.997, Base Lr: 9.02e-06
2024-05-20 19:37:36 transreid.train INFO: Epoch 109 done. Time per epoch: 84.730[s] Speed: 357.3[samples/s]
2024-05-20 19:37:43 transreid.train INFO: Epoch[110] Iter[20/486] Loss: 0.089, Acc: 0.998, Base Lr: 7.60e-06
2024-05-20 19:37:46 transreid.train INFO: Epoch[110] Iter[40/486] Loss: 0.093, Acc: 0.997, Base Lr: 7.60e-06
2024-05-20 19:37:50 transreid.train INFO: Epoch[110] Iter[60/486] Loss: 0.095, Acc: 0.997, Base Lr: 7.60e-06
2024-05-20 19:37:53 transreid.train INFO: Epoch[110] Iter[80/486] Loss: 0.097, Acc: 0.996, Base Lr: 7.60e-06
2024-05-20 19:37:56 transreid.train INFO: Epoch[110] Iter[100/486] Loss: 0.096, Acc: 0.996, Base Lr: 7.60e-06
2024-05-20 19:38:00 transreid.train INFO: Epoch[110] Iter[120/486] Loss: 0.095, Acc: 0.996, Base Lr: 7.60e-06
2024-05-20 19:38:03 transreid.train INFO: Epoch[110] Iter[140/486] Loss: 0.093, Acc: 0.996, Base Lr: 7.60e-06
2024-05-20 19:38:06 transreid.train INFO: Epoch[110] Iter[160/486] Loss: 0.092, Acc: 0.996, Base Lr: 7.60e-06
2024-05-20 19:38:10 transreid.train INFO: Epoch[110] Iter[180/486] Loss: 0.089, Acc: 0.996, Base Lr: 7.60e-06
2024-05-20 19:38:13 transreid.train INFO: Epoch[110] Iter[200/486] Loss: 0.087, Acc: 0.997, Base Lr: 7.60e-06
2024-05-20 19:38:17 transreid.train INFO: Epoch[110] Iter[220/486] Loss: 0.086, Acc: 0.997, Base Lr: 7.60e-06
2024-05-20 19:38:20 transreid.train INFO: Epoch[110] Iter[240/486] Loss: 0.085, Acc: 0.997, Base Lr: 7.60e-06
2024-05-20 19:38:23 transreid.train INFO: Epoch[110] Iter[260/486] Loss: 0.084, Acc: 0.997, Base Lr: 7.60e-06
2024-05-20 19:38:27 transreid.train INFO: Epoch[110] Iter[280/486] Loss: 0.083, Acc: 0.997, Base Lr: 7.60e-06
2024-05-20 19:38:30 transreid.train INFO: Epoch[110] Iter[300/486] Loss: 0.082, Acc: 0.997, Base Lr: 7.60e-06
2024-05-20 19:38:34 transreid.train INFO: Epoch[110] Iter[320/486] Loss: 0.080, Acc: 0.996, Base Lr: 7.60e-06
2024-05-20 19:38:37 transreid.train INFO: Epoch[110] Iter[340/486] Loss: 0.079, Acc: 0.997, Base Lr: 7.60e-06
2024-05-20 19:38:40 transreid.train INFO: Epoch[110] Iter[360/486] Loss: 0.077, Acc: 0.997, Base Lr: 7.60e-06
2024-05-20 19:38:44 transreid.train INFO: Epoch[110] Iter[380/486] Loss: 0.075, Acc: 0.997, Base Lr: 7.60e-06
2024-05-20 19:38:47 transreid.train INFO: Epoch[110] Iter[400/486] Loss: 0.074, Acc: 0.997, Base Lr: 7.60e-06
2024-05-20 19:38:51 transreid.train INFO: Epoch[110] Iter[420/486] Loss: 0.072, Acc: 0.997, Base Lr: 7.60e-06
2024-05-20 19:38:54 transreid.train INFO: Epoch[110] Iter[440/486] Loss: 0.071, Acc: 0.997, Base Lr: 7.60e-06
2024-05-20 19:38:57 transreid.train INFO: Epoch[110] Iter[460/486] Loss: 0.069, Acc: 0.997, Base Lr: 7.60e-06
2024-05-20 19:39:00 transreid.train INFO: Epoch 110 done. Time per epoch: 84.445[s] Speed: 358.5[samples/s]
2024-05-20 19:39:07 transreid.train INFO: Epoch[111] Iter[20/486] Loss: 0.106, Acc: 0.995, Base Lr: 6.31e-06
2024-05-20 19:39:11 transreid.train INFO: Epoch[111] Iter[40/486] Loss: 0.111, Acc: 0.993, Base Lr: 6.31e-06
2024-05-20 19:39:14 transreid.train INFO: Epoch[111] Iter[60/486] Loss: 0.100, Acc: 0.995, Base Lr: 6.31e-06
2024-05-20 19:39:18 transreid.train INFO: Epoch[111] Iter[80/486] Loss: 0.096, Acc: 0.996, Base Lr: 6.31e-06
2024-05-20 19:39:21 transreid.train INFO: Epoch[111] Iter[100/486] Loss: 0.094, Acc: 0.996, Base Lr: 6.31e-06
2024-05-20 19:39:24 transreid.train INFO: Epoch[111] Iter[120/486] Loss: 0.092, Acc: 0.996, Base Lr: 6.31e-06
2024-05-20 19:39:28 transreid.train INFO: Epoch[111] Iter[140/486] Loss: 0.091, Acc: 0.996, Base Lr: 6.31e-06
2024-05-20 19:39:31 transreid.train INFO: Epoch[111] Iter[160/486] Loss: 0.092, Acc: 0.996, Base Lr: 6.31e-06
2024-05-20 19:39:35 transreid.train INFO: Epoch[111] Iter[180/486] Loss: 0.090, Acc: 0.996, Base Lr: 6.31e-06
2024-05-20 19:39:38 transreid.train INFO: Epoch[111] Iter[200/486] Loss: 0.089, Acc: 0.996, Base Lr: 6.31e-06
2024-05-20 19:39:41 transreid.train INFO: Epoch[111] Iter[220/486] Loss: 0.087, Acc: 0.997, Base Lr: 6.31e-06
2024-05-20 19:39:45 transreid.train INFO: Epoch[111] Iter[240/486] Loss: 0.086, Acc: 0.996, Base Lr: 6.31e-06
2024-05-20 19:39:48 transreid.train INFO: Epoch[111] Iter[260/486] Loss: 0.083, Acc: 0.996, Base Lr: 6.31e-06
2024-05-20 19:39:51 transreid.train INFO: Epoch[111] Iter[280/486] Loss: 0.082, Acc: 0.996, Base Lr: 6.31e-06
2024-05-20 19:39:55 transreid.train INFO: Epoch[111] Iter[300/486] Loss: 0.080, Acc: 0.997, Base Lr: 6.31e-06
2024-05-20 19:39:58 transreid.train INFO: Epoch[111] Iter[320/486] Loss: 0.079, Acc: 0.997, Base Lr: 6.31e-06
2024-05-20 19:40:02 transreid.train INFO: Epoch[111] Iter[340/486] Loss: 0.078, Acc: 0.997, Base Lr: 6.31e-06
2024-05-20 19:40:05 transreid.train INFO: Epoch[111] Iter[360/486] Loss: 0.076, Acc: 0.997, Base Lr: 6.31e-06
2024-05-20 19:40:08 transreid.train INFO: Epoch[111] Iter[380/486] Loss: 0.075, Acc: 0.997, Base Lr: 6.31e-06
2024-05-20 19:40:12 transreid.train INFO: Epoch[111] Iter[400/486] Loss: 0.074, Acc: 0.997, Base Lr: 6.31e-06
2024-05-20 19:40:15 transreid.train INFO: Epoch[111] Iter[420/486] Loss: 0.072, Acc: 0.997, Base Lr: 6.31e-06
2024-05-20 19:40:18 transreid.train INFO: Epoch[111] Iter[440/486] Loss: 0.070, Acc: 0.997, Base Lr: 6.31e-06
2024-05-20 19:40:22 transreid.train INFO: Epoch[111] Iter[460/486] Loss: 0.069, Acc: 0.997, Base Lr: 6.31e-06
2024-05-20 19:40:25 transreid.train INFO: Epoch 111 done. Time per epoch: 84.408[s] Speed: 358.6[samples/s]
2024-05-20 19:40:32 transreid.train INFO: Epoch[112] Iter[20/486] Loss: 0.087, Acc: 0.998, Base Lr: 5.16e-06
2024-05-20 19:40:35 transreid.train INFO: Epoch[112] Iter[40/486] Loss: 0.092, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:40:38 transreid.train INFO: Epoch[112] Iter[60/486] Loss: 0.091, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:40:42 transreid.train INFO: Epoch[112] Iter[80/486] Loss: 0.087, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:40:45 transreid.train INFO: Epoch[112] Iter[100/486] Loss: 0.085, Acc: 0.998, Base Lr: 5.16e-06
2024-05-20 19:40:49 transreid.train INFO: Epoch[112] Iter[120/486] Loss: 0.088, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:40:52 transreid.train INFO: Epoch[112] Iter[140/486] Loss: 0.089, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:40:55 transreid.train INFO: Epoch[112] Iter[160/486] Loss: 0.087, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:40:59 transreid.train INFO: Epoch[112] Iter[180/486] Loss: 0.086, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:41:02 transreid.train INFO: Epoch[112] Iter[200/486] Loss: 0.085, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:41:05 transreid.train INFO: Epoch[112] Iter[220/486] Loss: 0.085, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:41:09 transreid.train INFO: Epoch[112] Iter[240/486] Loss: 0.084, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:41:12 transreid.train INFO: Epoch[112] Iter[260/486] Loss: 0.083, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:41:16 transreid.train INFO: Epoch[112] Iter[280/486] Loss: 0.081, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:41:19 transreid.train INFO: Epoch[112] Iter[300/486] Loss: 0.080, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:41:22 transreid.train INFO: Epoch[112] Iter[320/486] Loss: 0.078, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:41:26 transreid.train INFO: Epoch[112] Iter[340/486] Loss: 0.077, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:41:29 transreid.train INFO: Epoch[112] Iter[360/486] Loss: 0.076, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:41:33 transreid.train INFO: Epoch[112] Iter[380/486] Loss: 0.074, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:41:36 transreid.train INFO: Epoch[112] Iter[400/486] Loss: 0.073, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:41:39 transreid.train INFO: Epoch[112] Iter[420/486] Loss: 0.071, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:41:43 transreid.train INFO: Epoch[112] Iter[440/486] Loss: 0.069, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:41:46 transreid.train INFO: Epoch[112] Iter[460/486] Loss: 0.068, Acc: 0.997, Base Lr: 5.16e-06
2024-05-20 19:41:49 transreid.train INFO: Epoch 112 done. Time per epoch: 84.216[s] Speed: 358.7[samples/s]
2024-05-20 19:41:56 transreid.train INFO: Epoch[113] Iter[20/486] Loss: 0.095, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:41:59 transreid.train INFO: Epoch[113] Iter[40/486] Loss: 0.088, Acc: 0.998, Base Lr: 4.14e-06
2024-05-20 19:42:03 transreid.train INFO: Epoch[113] Iter[60/486] Loss: 0.085, Acc: 0.998, Base Lr: 4.14e-06
2024-05-20 19:42:06 transreid.train INFO: Epoch[113] Iter[80/486] Loss: 0.086, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:42:09 transreid.train INFO: Epoch[113] Iter[100/486] Loss: 0.089, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:42:13 transreid.train INFO: Epoch[113] Iter[120/486] Loss: 0.090, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:42:16 transreid.train INFO: Epoch[113] Iter[140/486] Loss: 0.089, Acc: 0.996, Base Lr: 4.14e-06
2024-05-20 19:42:20 transreid.train INFO: Epoch[113] Iter[160/486] Loss: 0.088, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:42:23 transreid.train INFO: Epoch[113] Iter[180/486] Loss: 0.088, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:42:26 transreid.train INFO: Epoch[113] Iter[200/486] Loss: 0.088, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:42:30 transreid.train INFO: Epoch[113] Iter[220/486] Loss: 0.086, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:42:33 transreid.train INFO: Epoch[113] Iter[240/486] Loss: 0.085, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:42:36 transreid.train INFO: Epoch[113] Iter[260/486] Loss: 0.085, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:42:40 transreid.train INFO: Epoch[113] Iter[280/486] Loss: 0.083, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:42:43 transreid.train INFO: Epoch[113] Iter[300/486] Loss: 0.081, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:42:47 transreid.train INFO: Epoch[113] Iter[320/486] Loss: 0.080, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:42:50 transreid.train INFO: Epoch[113] Iter[340/486] Loss: 0.079, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:42:53 transreid.train INFO: Epoch[113] Iter[360/486] Loss: 0.078, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:42:57 transreid.train INFO: Epoch[113] Iter[380/486] Loss: 0.076, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:43:00 transreid.train INFO: Epoch[113] Iter[400/486] Loss: 0.074, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:43:03 transreid.train INFO: Epoch[113] Iter[420/486] Loss: 0.073, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:43:07 transreid.train INFO: Epoch[113] Iter[440/486] Loss: 0.071, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:43:10 transreid.train INFO: Epoch[113] Iter[460/486] Loss: 0.070, Acc: 0.997, Base Lr: 4.14e-06
2024-05-20 19:43:13 transreid.train INFO: Epoch 113 done. Time per epoch: 84.626[s] Speed: 359.2[samples/s]
2024-05-20 19:43:20 transreid.train INFO: Epoch[114] Iter[20/486] Loss: 0.101, Acc: 0.995, Base Lr: 3.26e-06
2024-05-20 19:43:24 transreid.train INFO: Epoch[114] Iter[40/486] Loss: 0.095, Acc: 0.995, Base Lr: 3.26e-06
2024-05-20 19:43:27 transreid.train INFO: Epoch[114] Iter[60/486] Loss: 0.096, Acc: 0.995, Base Lr: 3.26e-06
2024-05-20 19:43:31 transreid.train INFO: Epoch[114] Iter[80/486] Loss: 0.095, Acc: 0.996, Base Lr: 3.26e-06
2024-05-20 19:43:34 transreid.train INFO: Epoch[114] Iter[100/486] Loss: 0.093, Acc: 0.996, Base Lr: 3.26e-06
2024-05-20 19:43:37 transreid.train INFO: Epoch[114] Iter[120/486] Loss: 0.092, Acc: 0.996, Base Lr: 3.26e-06
2024-05-20 19:43:41 transreid.train INFO: Epoch[114] Iter[140/486] Loss: 0.090, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:43:44 transreid.train INFO: Epoch[114] Iter[160/486] Loss: 0.089, Acc: 0.996, Base Lr: 3.26e-06
2024-05-20 19:43:48 transreid.train INFO: Epoch[114] Iter[180/486] Loss: 0.087, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:43:51 transreid.train INFO: Epoch[114] Iter[200/486] Loss: 0.087, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:43:55 transreid.train INFO: Epoch[114] Iter[220/486] Loss: 0.086, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:43:58 transreid.train INFO: Epoch[114] Iter[240/486] Loss: 0.084, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:44:01 transreid.train INFO: Epoch[114] Iter[260/486] Loss: 0.083, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:44:05 transreid.train INFO: Epoch[114] Iter[280/486] Loss: 0.081, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:44:08 transreid.train INFO: Epoch[114] Iter[300/486] Loss: 0.079, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:44:12 transreid.train INFO: Epoch[114] Iter[320/486] Loss: 0.078, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:44:15 transreid.train INFO: Epoch[114] Iter[340/486] Loss: 0.076, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:44:19 transreid.train INFO: Epoch[114] Iter[360/486] Loss: 0.074, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:44:22 transreid.train INFO: Epoch[114] Iter[380/486] Loss: 0.073, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:44:25 transreid.train INFO: Epoch[114] Iter[400/486] Loss: 0.071, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:44:29 transreid.train INFO: Epoch[114] Iter[420/486] Loss: 0.070, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:44:32 transreid.train INFO: Epoch[114] Iter[440/486] Loss: 0.068, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:44:36 transreid.train INFO: Epoch[114] Iter[460/486] Loss: 0.067, Acc: 0.997, Base Lr: 3.26e-06
2024-05-20 19:44:39 transreid.train INFO: Epoch 114 done. Time per epoch: 85.230[s] Speed: 355.2[samples/s]
2024-05-20 19:44:47 transreid.train INFO: Epoch[115] Iter[20/486] Loss: 0.101, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:44:50 transreid.train INFO: Epoch[115] Iter[40/486] Loss: 0.088, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:44:54 transreid.train INFO: Epoch[115] Iter[60/486] Loss: 0.097, Acc: 0.995, Base Lr: 2.51e-06
2024-05-20 19:44:57 transreid.train INFO: Epoch[115] Iter[80/486] Loss: 0.095, Acc: 0.996, Base Lr: 2.51e-06
2024-05-20 19:45:01 transreid.train INFO: Epoch[115] Iter[100/486] Loss: 0.094, Acc: 0.996, Base Lr: 2.51e-06
2024-05-20 19:45:04 transreid.train INFO: Epoch[115] Iter[120/486] Loss: 0.093, Acc: 0.996, Base Lr: 2.51e-06
2024-05-20 19:45:08 transreid.train INFO: Epoch[115] Iter[140/486] Loss: 0.089, Acc: 0.996, Base Lr: 2.51e-06
2024-05-20 19:45:11 transreid.train INFO: Epoch[115] Iter[160/486] Loss: 0.087, Acc: 0.996, Base Lr: 2.51e-06
2024-05-20 19:45:14 transreid.train INFO: Epoch[115] Iter[180/486] Loss: 0.086, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:45:18 transreid.train INFO: Epoch[115] Iter[200/486] Loss: 0.085, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:45:21 transreid.train INFO: Epoch[115] Iter[220/486] Loss: 0.084, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:45:25 transreid.train INFO: Epoch[115] Iter[240/486] Loss: 0.083, Acc: 0.996, Base Lr: 2.51e-06
2024-05-20 19:45:28 transreid.train INFO: Epoch[115] Iter[260/486] Loss: 0.082, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:45:31 transreid.train INFO: Epoch[115] Iter[280/486] Loss: 0.082, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:45:35 transreid.train INFO: Epoch[115] Iter[300/486] Loss: 0.080, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:45:38 transreid.train INFO: Epoch[115] Iter[320/486] Loss: 0.079, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:45:41 transreid.train INFO: Epoch[115] Iter[340/486] Loss: 0.077, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:45:45 transreid.train INFO: Epoch[115] Iter[360/486] Loss: 0.076, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:45:48 transreid.train INFO: Epoch[115] Iter[380/486] Loss: 0.074, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:45:52 transreid.train INFO: Epoch[115] Iter[400/486] Loss: 0.073, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:45:55 transreid.train INFO: Epoch[115] Iter[420/486] Loss: 0.071, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:45:59 transreid.train INFO: Epoch[115] Iter[440/486] Loss: 0.069, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:46:02 transreid.train INFO: Epoch[115] Iter[460/486] Loss: 0.068, Acc: 0.997, Base Lr: 2.51e-06
2024-05-20 19:46:05 transreid.train INFO: Epoch 115 done. Time per epoch: 86.204[s] Speed: 351.2[samples/s]
2024-05-20 19:46:13 transreid.train INFO: Epoch[116] Iter[20/486] Loss: 0.096, Acc: 0.995, Base Lr: 1.89e-06
2024-05-20 19:46:17 transreid.train INFO: Epoch[116] Iter[40/486] Loss: 0.098, Acc: 0.996, Base Lr: 1.89e-06
2024-05-20 19:46:20 transreid.train INFO: Epoch[116] Iter[60/486] Loss: 0.096, Acc: 0.996, Base Lr: 1.89e-06
2024-05-20 19:46:23 transreid.train INFO: Epoch[116] Iter[80/486] Loss: 0.094, Acc: 0.996, Base Lr: 1.89e-06
2024-05-20 19:46:27 transreid.train INFO: Epoch[116] Iter[100/486] Loss: 0.095, Acc: 0.996, Base Lr: 1.89e-06
2024-05-20 19:46:30 transreid.train INFO: Epoch[116] Iter[120/486] Loss: 0.094, Acc: 0.996, Base Lr: 1.89e-06
2024-05-20 19:46:34 transreid.train INFO: Epoch[116] Iter[140/486] Loss: 0.093, Acc: 0.996, Base Lr: 1.89e-06
2024-05-20 19:46:37 transreid.train INFO: Epoch[116] Iter[160/486] Loss: 0.092, Acc: 0.996, Base Lr: 1.89e-06
2024-05-20 19:46:41 transreid.train INFO: Epoch[116] Iter[180/486] Loss: 0.090, Acc: 0.996, Base Lr: 1.89e-06
2024-05-20 19:46:44 transreid.train INFO: Epoch[116] Iter[200/486] Loss: 0.089, Acc: 0.996, Base Lr: 1.89e-06
2024-05-20 19:46:47 transreid.train INFO: Epoch[116] Iter[220/486] Loss: 0.088, Acc: 0.996, Base Lr: 1.89e-06
2024-05-20 19:46:51 transreid.train INFO: Epoch[116] Iter[240/486] Loss: 0.086, Acc: 0.996, Base Lr: 1.89e-06
2024-05-20 19:46:54 transreid.train INFO: Epoch[116] Iter[260/486] Loss: 0.085, Acc: 0.996, Base Lr: 1.89e-06
2024-05-20 19:46:58 transreid.train INFO: Epoch[116] Iter[280/486] Loss: 0.084, Acc: 0.996, Base Lr: 1.89e-06
2024-05-20 19:47:01 transreid.train INFO: Epoch[116] Iter[300/486] Loss: 0.082, Acc: 0.997, Base Lr: 1.89e-06
2024-05-20 19:47:05 transreid.train INFO: Epoch[116] Iter[320/486] Loss: 0.081, Acc: 0.997, Base Lr: 1.89e-06
2024-05-20 19:47:08 transreid.train INFO: Epoch[116] Iter[340/486] Loss: 0.079, Acc: 0.997, Base Lr: 1.89e-06
2024-05-20 19:47:11 transreid.train INFO: Epoch[116] Iter[360/486] Loss: 0.078, Acc: 0.997, Base Lr: 1.89e-06
2024-05-20 19:47:15 transreid.train INFO: Epoch[116] Iter[380/486] Loss: 0.076, Acc: 0.997, Base Lr: 1.89e-06
2024-05-20 19:47:18 transreid.train INFO: Epoch[116] Iter[400/486] Loss: 0.074, Acc: 0.997, Base Lr: 1.89e-06
2024-05-20 19:47:22 transreid.train INFO: Epoch[116] Iter[420/486] Loss: 0.073, Acc: 0.997, Base Lr: 1.89e-06
2024-05-20 19:47:25 transreid.train INFO: Epoch[116] Iter[440/486] Loss: 0.072, Acc: 0.997, Base Lr: 1.89e-06
2024-05-20 19:47:29 transreid.train INFO: Epoch[116] Iter[460/486] Loss: 0.070, Acc: 0.997, Base Lr: 1.89e-06
2024-05-20 19:47:31 transreid.train INFO: Epoch 116 done. Time per epoch: 86.588[s] Speed: 349.6[samples/s]
2024-05-20 19:47:39 transreid.train INFO: Epoch[117] Iter[20/486] Loss: 0.093, Acc: 0.997, Base Lr: 1.42e-06
2024-05-20 19:47:42 transreid.train INFO: Epoch[117] Iter[40/486] Loss: 0.099, Acc: 0.996, Base Lr: 1.42e-06
2024-05-20 19:47:45 transreid.train INFO: Epoch[117] Iter[60/486] Loss: 0.098, Acc: 0.996, Base Lr: 1.42e-06
2024-05-20 19:47:49 transreid.train INFO: Epoch[117] Iter[80/486] Loss: 0.096, Acc: 0.996, Base Lr: 1.42e-06
2024-05-20 19:47:52 transreid.train INFO: Epoch[117] Iter[100/486] Loss: 0.098, Acc: 0.996, Base Lr: 1.42e-06
2024-05-20 19:47:55 transreid.train INFO: Epoch[117] Iter[120/486] Loss: 0.098, Acc: 0.996, Base Lr: 1.42e-06
2024-05-20 19:47:59 transreid.train INFO: Epoch[117] Iter[140/486] Loss: 0.096, Acc: 0.996, Base Lr: 1.42e-06
2024-05-20 19:48:02 transreid.train INFO: Epoch[117] Iter[160/486] Loss: 0.096, Acc: 0.996, Base Lr: 1.42e-06
2024-05-20 19:48:06 transreid.train INFO: Epoch[117] Iter[180/486] Loss: 0.094, Acc: 0.996, Base Lr: 1.42e-06
2024-05-20 19:48:09 transreid.train INFO: Epoch[117] Iter[200/486] Loss: 0.093, Acc: 0.996, Base Lr: 1.42e-06
2024-05-20 19:48:12 transreid.train INFO: Epoch[117] Iter[220/486] Loss: 0.091, Acc: 0.996, Base Lr: 1.42e-06
2024-05-20 19:48:16 transreid.train INFO: Epoch[117] Iter[240/486] Loss: 0.088, Acc: 0.996, Base Lr: 1.42e-06
2024-05-20 19:48:19 transreid.train INFO: Epoch[117] Iter[260/486] Loss: 0.087, Acc: 0.996, Base Lr: 1.42e-06
2024-05-20 19:48:23 transreid.train INFO: Epoch[117] Iter[280/486] Loss: 0.084, Acc: 0.996, Base Lr: 1.42e-06
2024-05-20 19:48:26 transreid.train INFO: Epoch[117] Iter[300/486] Loss: 0.083, Acc: 0.996, Base Lr: 1.42e-06
2024-05-20 19:48:29 transreid.train INFO: Epoch[117] Iter[320/486] Loss: 0.081, Acc: 0.997, Base Lr: 1.42e-06
2024-05-20 19:48:33 transreid.train INFO: Epoch[117] Iter[340/486] Loss: 0.079, Acc: 0.997, Base Lr: 1.42e-06
2024-05-20 19:48:36 transreid.train INFO: Epoch[117] Iter[360/486] Loss: 0.079, Acc: 0.997, Base Lr: 1.42e-06
2024-05-20 19:48:40 transreid.train INFO: Epoch[117] Iter[380/486] Loss: 0.076, Acc: 0.997, Base Lr: 1.42e-06
2024-05-20 19:48:43 transreid.train INFO: Epoch[117] Iter[400/486] Loss: 0.075, Acc: 0.997, Base Lr: 1.42e-06
2024-05-20 19:48:46 transreid.train INFO: Epoch[117] Iter[420/486] Loss: 0.073, Acc: 0.997, Base Lr: 1.42e-06
2024-05-20 19:48:50 transreid.train INFO: Epoch[117] Iter[440/486] Loss: 0.071, Acc: 0.997, Base Lr: 1.42e-06
2024-05-20 19:48:53 transreid.train INFO: Epoch[117] Iter[460/486] Loss: 0.070, Acc: 0.997, Base Lr: 1.42e-06
2024-05-20 19:48:56 transreid.train INFO: Epoch 117 done. Time per epoch: 84.841[s] Speed: 358.3[samples/s]
2024-05-20 19:49:03 transreid.train INFO: Epoch[118] Iter[20/486] Loss: 0.092, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:49:07 transreid.train INFO: Epoch[118] Iter[40/486] Loss: 0.080, Acc: 0.998, Base Lr: 1.07e-06
2024-05-20 19:49:10 transreid.train INFO: Epoch[118] Iter[60/486] Loss: 0.089, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:49:14 transreid.train INFO: Epoch[118] Iter[80/486] Loss: 0.089, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:49:17 transreid.train INFO: Epoch[118] Iter[100/486] Loss: 0.087, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:49:21 transreid.train INFO: Epoch[118] Iter[120/486] Loss: 0.086, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:49:24 transreid.train INFO: Epoch[118] Iter[140/486] Loss: 0.087, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:49:27 transreid.train INFO: Epoch[118] Iter[160/486] Loss: 0.086, Acc: 0.996, Base Lr: 1.07e-06
2024-05-20 19:49:31 transreid.train INFO: Epoch[118] Iter[180/486] Loss: 0.084, Acc: 0.996, Base Lr: 1.07e-06
2024-05-20 19:49:34 transreid.train INFO: Epoch[118] Iter[200/486] Loss: 0.083, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:49:38 transreid.train INFO: Epoch[118] Iter[220/486] Loss: 0.083, Acc: 0.996, Base Lr: 1.07e-06
2024-05-20 19:49:41 transreid.train INFO: Epoch[118] Iter[240/486] Loss: 0.083, Acc: 0.996, Base Lr: 1.07e-06
2024-05-20 19:49:45 transreid.train INFO: Epoch[118] Iter[260/486] Loss: 0.082, Acc: 0.996, Base Lr: 1.07e-06
2024-05-20 19:49:48 transreid.train INFO: Epoch[118] Iter[280/486] Loss: 0.081, Acc: 0.996, Base Lr: 1.07e-06
2024-05-20 19:49:51 transreid.train INFO: Epoch[118] Iter[300/486] Loss: 0.080, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:49:55 transreid.train INFO: Epoch[118] Iter[320/486] Loss: 0.078, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:49:58 transreid.train INFO: Epoch[118] Iter[340/486] Loss: 0.076, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:50:02 transreid.train INFO: Epoch[118] Iter[360/486] Loss: 0.074, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:50:05 transreid.train INFO: Epoch[118] Iter[380/486] Loss: 0.073, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:50:08 transreid.train INFO: Epoch[118] Iter[400/486] Loss: 0.071, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:50:12 transreid.train INFO: Epoch[118] Iter[420/486] Loss: 0.070, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:50:15 transreid.train INFO: Epoch[118] Iter[440/486] Loss: 0.069, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:50:19 transreid.train INFO: Epoch[118] Iter[460/486] Loss: 0.067, Acc: 0.997, Base Lr: 1.07e-06
2024-05-20 19:50:22 transreid.train INFO: Epoch 118 done. Time per epoch: 85.269[s] Speed: 356.5[samples/s]
2024-05-20 19:50:29 transreid.train INFO: Epoch[119] Iter[20/486] Loss: 0.087, Acc: 0.998, Base Lr: 8.68e-07
2024-05-20 19:50:32 transreid.train INFO: Epoch[119] Iter[40/486] Loss: 0.091, Acc: 0.996, Base Lr: 8.68e-07
2024-05-20 19:50:36 transreid.train INFO: Epoch[119] Iter[60/486] Loss: 0.091, Acc: 0.997, Base Lr: 8.68e-07
2024-05-20 19:50:39 transreid.train INFO: Epoch[119] Iter[80/486] Loss: 0.090, Acc: 0.997, Base Lr: 8.68e-07
2024-05-20 19:50:42 transreid.train INFO: Epoch[119] Iter[100/486] Loss: 0.091, Acc: 0.997, Base Lr: 8.68e-07
2024-05-20 19:50:46 transreid.train INFO: Epoch[119] Iter[120/486] Loss: 0.090, Acc: 0.997, Base Lr: 8.68e-07
2024-05-20 19:50:49 transreid.train INFO: Epoch[119] Iter[140/486] Loss: 0.090, Acc: 0.997, Base Lr: 8.68e-07
2024-05-20 19:50:52 transreid.train INFO: Epoch[119] Iter[160/486] Loss: 0.089, Acc: 0.997, Base Lr: 8.68e-07
2024-05-20 19:50:56 transreid.train INFO: Epoch[119] Iter[180/486] Loss: 0.087, Acc: 0.996, Base Lr: 8.68e-07
2024-05-20 19:50:59 transreid.train INFO: Epoch[119] Iter[200/486] Loss: 0.086, Acc: 0.996, Base Lr: 8.68e-07
2024-05-20 19:51:03 transreid.train INFO: Epoch[119] Iter[220/486] Loss: 0.087, Acc: 0.996, Base Lr: 8.68e-07
2024-05-20 19:51:06 transreid.train INFO: Epoch[119] Iter[240/486] Loss: 0.085, Acc: 0.997, Base Lr: 8.68e-07
2024-05-20 19:51:09 transreid.train INFO: Epoch[119] Iter[260/486] Loss: 0.084, Acc: 0.997, Base Lr: 8.68e-07
2024-05-20 19:51:13 transreid.train INFO: Epoch[119] Iter[280/486] Loss: 0.083, Acc: 0.996, Base Lr: 8.68e-07
2024-05-20 19:51:16 transreid.train INFO: Epoch[119] Iter[300/486] Loss: 0.082, Acc: 0.997, Base Lr: 8.68e-07
2024-05-20 19:51:20 transreid.train INFO: Epoch[119] Iter[320/486] Loss: 0.081, Acc: 0.997, Base Lr: 8.68e-07
2024-05-20 19:51:23 transreid.train INFO: Epoch[119] Iter[340/486] Loss: 0.080, Acc: 0.996, Base Lr: 8.68e-07
2024-05-20 19:51:26 transreid.train INFO: Epoch[119] Iter[360/486] Loss: 0.078, Acc: 0.996, Base Lr: 8.68e-07
2024-05-20 19:51:30 transreid.train INFO: Epoch[119] Iter[380/486] Loss: 0.076, Acc: 0.997, Base Lr: 8.68e-07
2024-05-20 19:51:33 transreid.train INFO: Epoch[119] Iter[400/486] Loss: 0.075, Acc: 0.996, Base Lr: 8.68e-07
2024-05-20 19:51:36 transreid.train INFO: Epoch[119] Iter[420/486] Loss: 0.074, Acc: 0.997, Base Lr: 8.68e-07
2024-05-20 19:51:40 transreid.train INFO: Epoch[119] Iter[440/486] Loss: 0.073, Acc: 0.997, Base Lr: 8.68e-07
2024-05-20 19:51:43 transreid.train INFO: Epoch[119] Iter[460/486] Loss: 0.071, Acc: 0.997, Base Lr: 8.68e-07
2024-05-20 19:51:46 transreid.train INFO: Epoch 119 done. Time per epoch: 84.641[s] Speed: 358.4[samples/s]
2024-05-20 19:51:53 transreid.train INFO: Epoch[120] Iter[20/486] Loss: 0.084, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:51:57 transreid.train INFO: Epoch[120] Iter[40/486] Loss: 0.093, Acc: 0.996, Base Lr: 8.00e-07
2024-05-20 19:52:00 transreid.train INFO: Epoch[120] Iter[60/486] Loss: 0.089, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:03 transreid.train INFO: Epoch[120] Iter[80/486] Loss: 0.089, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:07 transreid.train INFO: Epoch[120] Iter[100/486] Loss: 0.091, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:10 transreid.train INFO: Epoch[120] Iter[120/486] Loss: 0.089, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:13 transreid.train INFO: Epoch[120] Iter[140/486] Loss: 0.088, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:17 transreid.train INFO: Epoch[120] Iter[160/486] Loss: 0.087, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:20 transreid.train INFO: Epoch[120] Iter[180/486] Loss: 0.085, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:24 transreid.train INFO: Epoch[120] Iter[200/486] Loss: 0.083, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:27 transreid.train INFO: Epoch[120] Iter[220/486] Loss: 0.083, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:30 transreid.train INFO: Epoch[120] Iter[240/486] Loss: 0.082, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:34 transreid.train INFO: Epoch[120] Iter[260/486] Loss: 0.080, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:37 transreid.train INFO: Epoch[120] Iter[280/486] Loss: 0.078, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:41 transreid.train INFO: Epoch[120] Iter[300/486] Loss: 0.077, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:44 transreid.train INFO: Epoch[120] Iter[320/486] Loss: 0.075, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:47 transreid.train INFO: Epoch[120] Iter[340/486] Loss: 0.073, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:51 transreid.train INFO: Epoch[120] Iter[360/486] Loss: 0.072, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:54 transreid.train INFO: Epoch[120] Iter[380/486] Loss: 0.071, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:52:58 transreid.train INFO: Epoch[120] Iter[400/486] Loss: 0.070, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:53:01 transreid.train INFO: Epoch[120] Iter[420/486] Loss: 0.068, Acc: 0.998, Base Lr: 8.00e-07
2024-05-20 19:53:04 transreid.train INFO: Epoch[120] Iter[440/486] Loss: 0.067, Acc: 0.998, Base Lr: 8.00e-07
2024-05-20 19:53:08 transreid.train INFO: Epoch[120] Iter[460/486] Loss: 0.065, Acc: 0.997, Base Lr: 8.00e-07
2024-05-20 19:53:11 transreid.train INFO: Epoch 120 done. Time per epoch: 84.394[s] Speed: 359.5[samples/s]
2024-05-20 19:56:44 transreid.train INFO: Validation Results - Epoch: 120
2024-05-20 19:56:44 transreid.train INFO: mAP: 69.6%
2024-05-20 19:56:44 transreid.train INFO: CMC curve, Rank-1  :87.6%
2024-05-20 19:56:44 transreid.train INFO: CMC curve, Rank-5  :93.3%
2024-05-20 19:56:44 transreid.train INFO: CMC curve, Rank-10 :94.9%
