2024-05-10 03:00:23 transreid INFO: Saving model in the path :log/bs_exp/ViT_Tiny_Market1501/512bs_lr0.0032_ep120_warm20_seed0
2024-05-10 03:00:23 transreid INFO: Loaded configuration file configs/market/vit_tiny.yml
2024-05-10 03:00:23 transreid INFO: Running with config:
DATALOADER:
  NUM_INSTANCE: 4
  NUM_WORKERS: 8
  REMOVE_TAIL: 0
  SAMPLER: softmax_triplet
DATASETS:
  NAMES: market1501
  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: vit_tiny
  NECK: bnneck
  NO_MARGIN: True
  PRETRAIN_CHOICE: self
  PRETRAIN_HW_RATIO: 2
  PRETRAIN_PATH: /home/ma-user/work/Projects/ReIDNets_Checkpoints_TransReID/ViT_Tiny_P16_2468_406080100_bs120_originaldino_noreid.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/ViT_Tiny_Market1501/512bs_lr0.0032_ep120_warm20_seed0
SOLVER:
  BASE_LR: 0.0032
  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: 10
  GAMMA: 0.1
  IMS_PER_BATCH: 512
  LARGE_FC_LR: False
  LOG_PERIOD: 5
  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: 
2024-05-10 03:00:24 transreid.check INFO: Dataset statistics:
2024-05-10 03:00:24 transreid.check INFO:   ----------------------------------------
2024-05-10 03:00:24 transreid.check INFO:   subset   | # ids | # images | # cameras
2024-05-10 03:00:24 transreid.check INFO:   ----------------------------------------
2024-05-10 03:00:24 transreid.check INFO:   train    |   751 |    12936 |         6
2024-05-10 03:00:24 transreid.check INFO:   query    |   750 |     3368 |         6
2024-05-10 03:00:24 transreid.check INFO:   gallery  |   751 |    15913 |         6
2024-05-10 03:00:24 transreid.check INFO:   ----------------------------------------
2024-05-10 03:00:28 transreid INFO: ===========using cosine learning rate=======
2024-05-10 03:00:28 transreid.train INFO: start training
2024-05-10 03:00:36 transreid.train INFO: Epoch[1] Iter[5/24] Loss: 21.870, Acc: 0.002, Base Lr: 1.90e-04
2024-05-10 03:00:38 transreid.train INFO: Epoch[1] Iter[10/24] Loss: 19.369, Acc: 0.001, Base Lr: 1.90e-04
2024-05-10 03:00:40 transreid.train INFO: Epoch[1] Iter[15/24] Loss: 17.616, Acc: 0.001, Base Lr: 1.90e-04
2024-05-10 03:00:42 transreid.train INFO: Epoch[1] Iter[20/24] Loss: 16.217, Acc: 0.001, Base Lr: 1.90e-04
2024-05-10 03:00:42 transreid.train INFO: Epoch 1 done. Time per epoch: 14.368[s] Speed: 748.3[samples/s]
2024-05-10 03:00:46 transreid.train INFO: Epoch[2] Iter[5/24] Loss: 10.499, Acc: 0.002, Base Lr: 3.49e-04
2024-05-10 03:00:48 transreid.train INFO: Epoch[2] Iter[10/24] Loss: 9.911, Acc: 0.003, Base Lr: 3.49e-04
2024-05-10 03:00:50 transreid.train INFO: Epoch[2] Iter[15/24] Loss: 9.377, Acc: 0.002, Base Lr: 3.49e-04
2024-05-10 03:00:52 transreid.train INFO: Epoch[2] Iter[20/24] Loss: 9.040, Acc: 0.003, Base Lr: 3.49e-04
2024-05-10 03:00:52 transreid.train INFO: Epoch 2 done. Time per epoch: 9.943[s] Speed: 1081.4[samples/s]
2024-05-10 03:00:56 transreid.train INFO: Epoch[3] Iter[5/24] Loss: 7.752, Acc: 0.006, Base Lr: 5.07e-04
2024-05-10 03:00:58 transreid.train INFO: Epoch[3] Iter[10/24] Loss: 7.707, Acc: 0.009, Base Lr: 5.07e-04
2024-05-10 03:01:00 transreid.train INFO: Epoch[3] Iter[15/24] Loss: 7.668, Acc: 0.011, Base Lr: 5.07e-04
2024-05-10 03:01:02 transreid.train INFO: Epoch[3] Iter[20/24] Loss: 7.634, Acc: 0.019, Base Lr: 5.07e-04
2024-05-10 03:01:02 transreid.train INFO: Epoch 3 done. Time per epoch: 9.919[s] Speed: 1083.9[samples/s]
2024-05-10 03:01:06 transreid.train INFO: Epoch[4] Iter[5/24] Loss: 7.472, Acc: 0.050, Base Lr: 6.66e-04
2024-05-10 03:01:08 transreid.train INFO: Epoch[4] Iter[10/24] Loss: 7.460, Acc: 0.065, Base Lr: 6.66e-04
2024-05-10 03:01:10 transreid.train INFO: Epoch[4] Iter[15/24] Loss: 7.444, Acc: 0.086, Base Lr: 6.66e-04
2024-05-10 03:01:12 transreid.train INFO: Epoch[4] Iter[20/24] Loss: 7.428, Acc: 0.116, Base Lr: 6.66e-04
2024-05-10 03:01:12 transreid.train INFO: Epoch 4 done. Time per epoch: 10.084[s] Speed: 1066.2[samples/s]
2024-05-10 03:01:16 transreid.train INFO: Epoch[5] Iter[5/24] Loss: 7.375, Acc: 0.143, Base Lr: 8.24e-04
2024-05-10 03:01:18 transreid.train INFO: Epoch[5] Iter[10/24] Loss: 7.343, Acc: 0.167, Base Lr: 8.24e-04
2024-05-10 03:01:20 transreid.train INFO: Epoch[5] Iter[15/24] Loss: 7.329, Acc: 0.202, Base Lr: 8.24e-04
2024-05-10 03:01:22 transreid.train INFO: Epoch[5] Iter[20/24] Loss: 7.314, Acc: 0.246, Base Lr: 8.24e-04
2024-05-10 03:01:22 transreid.train INFO: Epoch 5 done. Time per epoch: 9.899[s] Speed: 1086.2[samples/s]
2024-05-10 03:01:26 transreid.train INFO: Epoch[6] Iter[5/24] Loss: 7.284, Acc: 0.202, Base Lr: 9.82e-04
2024-05-10 03:01:28 transreid.train INFO: Epoch[6] Iter[10/24] Loss: 7.271, Acc: 0.229, Base Lr: 9.82e-04
2024-05-10 03:01:30 transreid.train INFO: Epoch[6] Iter[15/24] Loss: 7.256, Acc: 0.276, Base Lr: 9.82e-04
2024-05-10 03:01:31 transreid.train INFO: Epoch[6] Iter[20/24] Loss: 7.231, Acc: 0.324, Base Lr: 9.82e-04
2024-05-10 03:01:32 transreid.train INFO: Epoch 6 done. Time per epoch: 9.934[s] Speed: 1082.4[samples/s]
2024-05-10 03:01:36 transreid.train INFO: Epoch[7] Iter[5/24] Loss: 7.221, Acc: 0.247, Base Lr: 1.14e-03
2024-05-10 03:01:37 transreid.train INFO: Epoch[7] Iter[10/24] Loss: 7.204, Acc: 0.279, Base Lr: 1.14e-03
2024-05-10 03:01:39 transreid.train INFO: Epoch[7] Iter[15/24] Loss: 7.172, Acc: 0.317, Base Lr: 1.14e-03
2024-05-10 03:01:41 transreid.train INFO: Epoch[7] Iter[20/24] Loss: 7.151, Acc: 0.375, Base Lr: 1.14e-03
2024-05-10 03:01:42 transreid.train INFO: Epoch 7 done. Time per epoch: 9.910[s] Speed: 1084.9[samples/s]
2024-05-10 03:01:46 transreid.train INFO: Epoch[8] Iter[5/24] Loss: 7.113, Acc: 0.278, Base Lr: 1.30e-03
2024-05-10 03:01:47 transreid.train INFO: Epoch[8] Iter[10/24] Loss: 7.076, Acc: 0.319, Base Lr: 1.30e-03
2024-05-10 03:01:49 transreid.train INFO: Epoch[8] Iter[15/24] Loss: 7.062, Acc: 0.359, Base Lr: 1.30e-03
2024-05-10 03:01:51 transreid.train INFO: Epoch[8] Iter[20/24] Loss: 7.036, Acc: 0.414, Base Lr: 1.30e-03
2024-05-10 03:01:52 transreid.train INFO: Epoch 8 done. Time per epoch: 9.934[s] Speed: 1082.4[samples/s]
2024-05-10 03:01:55 transreid.train INFO: Epoch[9] Iter[5/24] Loss: 7.043, Acc: 0.268, Base Lr: 1.46e-03
2024-05-10 03:01:57 transreid.train INFO: Epoch[9] Iter[10/24] Loss: 7.015, Acc: 0.329, Base Lr: 1.46e-03
2024-05-10 03:01:59 transreid.train INFO: Epoch[9] Iter[15/24] Loss: 6.994, Acc: 0.371, Base Lr: 1.46e-03
2024-05-10 03:02:01 transreid.train INFO: Epoch[9] Iter[20/24] Loss: 6.968, Acc: 0.430, Base Lr: 1.46e-03
2024-05-10 03:02:02 transreid.train INFO: Epoch 9 done. Time per epoch: 9.871[s] Speed: 1089.3[samples/s]
2024-05-10 03:02:05 transreid.train INFO: Epoch[10] Iter[5/24] Loss: 6.973, Acc: 0.304, Base Lr: 1.62e-03
2024-05-10 03:02:07 transreid.train INFO: Epoch[10] Iter[10/24] Loss: 6.928, Acc: 0.338, Base Lr: 1.62e-03
2024-05-10 03:02:09 transreid.train INFO: Epoch[10] Iter[15/24] Loss: 6.900, Acc: 0.388, Base Lr: 1.62e-03
2024-05-10 03:02:11 transreid.train INFO: Epoch[10] Iter[20/24] Loss: 6.867, Acc: 0.450, Base Lr: 1.62e-03
2024-05-10 03:02:12 transreid.train INFO: Epoch 10 done. Time per epoch: 10.034[s] Speed: 1071.6[samples/s]
2024-05-10 03:02:28 transreid.train INFO: Validation Results - Epoch: 10
2024-05-10 03:02:28 transreid.train INFO: mAP: 82.4%
2024-05-10 03:02:28 transreid.train INFO: CMC curve, Rank-1  :91.7%
2024-05-10 03:02:28 transreid.train INFO: CMC curve, Rank-5  :97.1%
2024-05-10 03:02:28 transreid.train INFO: CMC curve, Rank-10 :98.3%
2024-05-10 03:02:31 transreid.train INFO: Epoch[11] Iter[5/24] Loss: 6.919, Acc: 0.306, Base Lr: 1.77e-03
2024-05-10 03:02:33 transreid.train INFO: Epoch[11] Iter[10/24] Loss: 6.878, Acc: 0.349, Base Lr: 1.77e-03
2024-05-10 03:02:35 transreid.train INFO: Epoch[11] Iter[15/24] Loss: 6.833, Acc: 0.394, Base Lr: 1.77e-03
2024-05-10 03:02:37 transreid.train INFO: Epoch[11] Iter[20/24] Loss: 6.795, Acc: 0.455, Base Lr: 1.77e-03
2024-05-10 03:02:37 transreid.train INFO: Epoch 11 done. Time per epoch: 9.812[s] Speed: 1043.6[samples/s]
2024-05-10 03:02:41 transreid.train INFO: Epoch[12] Iter[5/24] Loss: 6.816, Acc: 0.309, Base Lr: 1.93e-03
2024-05-10 03:02:43 transreid.train INFO: Epoch[12] Iter[10/24] Loss: 6.765, Acc: 0.353, Base Lr: 1.93e-03
2024-05-10 03:02:45 transreid.train INFO: Epoch[12] Iter[15/24] Loss: 6.722, Acc: 0.400, Base Lr: 1.93e-03
2024-05-10 03:02:47 transreid.train INFO: Epoch[12] Iter[20/24] Loss: 6.672, Acc: 0.478, Base Lr: 1.93e-03
2024-05-10 03:02:48 transreid.train INFO: Epoch 12 done. Time per epoch: 10.153[s] Speed: 1059.0[samples/s]
2024-05-10 03:02:51 transreid.train INFO: Epoch[13] Iter[5/24] Loss: 6.658, Acc: 0.319, Base Lr: 2.09e-03
2024-05-10 03:02:53 transreid.train INFO: Epoch[13] Iter[10/24] Loss: 6.675, Acc: 0.369, Base Lr: 2.09e-03
2024-05-10 03:02:55 transreid.train INFO: Epoch[13] Iter[15/24] Loss: 6.634, Acc: 0.412, Base Lr: 2.09e-03
2024-05-10 03:02:57 transreid.train INFO: Epoch[13] Iter[20/24] Loss: 6.556, Acc: 0.483, Base Lr: 2.09e-03
2024-05-10 03:02:57 transreid.train INFO: Epoch 13 done. Time per epoch: 9.566[s] Speed: 1070.5[samples/s]
2024-05-10 03:03:01 transreid.train INFO: Epoch[14] Iter[5/24] Loss: 6.528, Acc: 0.349, Base Lr: 2.25e-03
2024-05-10 03:03:03 transreid.train INFO: Epoch[14] Iter[10/24] Loss: 6.536, Acc: 0.372, Base Lr: 2.25e-03
2024-05-10 03:03:05 transreid.train INFO: Epoch[14] Iter[15/24] Loss: 6.504, Acc: 0.413, Base Lr: 2.25e-03
2024-05-10 03:03:07 transreid.train INFO: Epoch[14] Iter[20/24] Loss: 6.451, Acc: 0.487, Base Lr: 2.25e-03
2024-05-10 03:03:07 transreid.train INFO: Epoch 14 done. Time per epoch: 9.682[s] Speed: 1057.6[samples/s]
2024-05-10 03:03:11 transreid.train INFO: Epoch[15] Iter[5/24] Loss: 6.554, Acc: 0.369, Base Lr: 2.41e-03
2024-05-10 03:03:12 transreid.train INFO: Epoch[15] Iter[10/24] Loss: 6.504, Acc: 0.397, Base Lr: 2.41e-03
2024-05-10 03:03:14 transreid.train INFO: Epoch[15] Iter[15/24] Loss: 6.449, Acc: 0.431, Base Lr: 2.41e-03
2024-05-10 03:03:16 transreid.train INFO: Epoch[15] Iter[20/24] Loss: 6.369, Acc: 0.485, Base Lr: 2.41e-03
2024-05-10 03:03:17 transreid.train INFO: Epoch 15 done. Time per epoch: 10.108[s] Speed: 1063.7[samples/s]
2024-05-10 03:03:21 transreid.train INFO: Epoch[16] Iter[5/24] Loss: 6.419, Acc: 0.317, Base Lr: 2.57e-03
2024-05-10 03:03:23 transreid.train INFO: Epoch[16] Iter[10/24] Loss: 6.372, Acc: 0.368, Base Lr: 2.57e-03
2024-05-10 03:03:24 transreid.train INFO: Epoch[16] Iter[15/24] Loss: 6.294, Acc: 0.426, Base Lr: 2.57e-03
2024-05-10 03:03:26 transreid.train INFO: Epoch[16] Iter[20/24] Loss: 6.216, Acc: 0.488, Base Lr: 2.57e-03
2024-05-10 03:03:27 transreid.train INFO: Epoch 16 done. Time per epoch: 10.128[s] Speed: 1061.6[samples/s]
2024-05-10 03:03:31 transreid.train INFO: Epoch[17] Iter[5/24] Loss: 6.260, Acc: 0.342, Base Lr: 2.72e-03
2024-05-10 03:03:33 transreid.train INFO: Epoch[17] Iter[10/24] Loss: 6.209, Acc: 0.375, Base Lr: 2.72e-03
2024-05-10 03:03:35 transreid.train INFO: Epoch[17] Iter[15/24] Loss: 6.149, Acc: 0.432, Base Lr: 2.72e-03
2024-05-10 03:03:37 transreid.train INFO: Epoch[17] Iter[20/24] Loss: 6.058, Acc: 0.500, Base Lr: 2.72e-03
2024-05-10 03:03:37 transreid.train INFO: Epoch 17 done. Time per epoch: 10.176[s] Speed: 1056.6[samples/s]
2024-05-10 03:03:41 transreid.train INFO: Epoch[18] Iter[5/24] Loss: 6.189, Acc: 0.347, Base Lr: 2.88e-03
2024-05-10 03:03:43 transreid.train INFO: Epoch[18] Iter[10/24] Loss: 6.113, Acc: 0.389, Base Lr: 2.88e-03
2024-05-10 03:03:45 transreid.train INFO: Epoch[18] Iter[15/24] Loss: 6.026, Acc: 0.431, Base Lr: 2.88e-03
2024-05-10 03:03:47 transreid.train INFO: Epoch[18] Iter[20/24] Loss: 5.919, Acc: 0.499, Base Lr: 2.88e-03
2024-05-10 03:03:47 transreid.train INFO: Epoch 18 done. Time per epoch: 9.988[s] Speed: 1076.5[samples/s]
2024-05-10 03:03:51 transreid.train INFO: Epoch[19] Iter[5/24] Loss: 6.061, Acc: 0.342, Base Lr: 3.04e-03
2024-05-10 03:03:53 transreid.train INFO: Epoch[19] Iter[10/24] Loss: 5.998, Acc: 0.372, Base Lr: 3.04e-03
2024-05-10 03:03:55 transreid.train INFO: Epoch[19] Iter[15/24] Loss: 5.898, Acc: 0.430, Base Lr: 3.04e-03
2024-05-10 03:03:57 transreid.train INFO: Epoch[19] Iter[20/24] Loss: 5.779, Acc: 0.490, Base Lr: 3.04e-03
2024-05-10 03:03:57 transreid.train INFO: Epoch 19 done. Time per epoch: 10.049[s] Speed: 1069.9[samples/s]
2024-05-10 03:04:01 transreid.train INFO: Epoch[20] Iter[5/24] Loss: 5.939, Acc: 0.318, Base Lr: 2.99e-03
2024-05-10 03:04:03 transreid.train INFO: Epoch[20] Iter[10/24] Loss: 5.846, Acc: 0.365, Base Lr: 2.99e-03
2024-05-10 03:04:05 transreid.train INFO: Epoch[20] Iter[15/24] Loss: 5.735, Acc: 0.426, Base Lr: 2.99e-03
2024-05-10 03:04:07 transreid.train INFO: Epoch[20] Iter[20/24] Loss: 5.624, Acc: 0.488, Base Lr: 2.99e-03
2024-05-10 03:04:07 transreid.train INFO: Epoch 20 done. Time per epoch: 10.184[s] Speed: 1055.8[samples/s]
2024-05-10 03:04:22 transreid.train INFO: Validation Results - Epoch: 20
2024-05-10 03:04:22 transreid.train INFO: mAP: 86.3%
2024-05-10 03:04:22 transreid.train INFO: CMC curve, Rank-1  :94.0%
2024-05-10 03:04:22 transreid.train INFO: CMC curve, Rank-5  :97.9%
2024-05-10 03:04:22 transreid.train INFO: CMC curve, Rank-10 :98.7%
2024-05-10 03:04:26 transreid.train INFO: Epoch[21] Iter[5/24] Loss: 5.748, Acc: 0.336, Base Lr: 2.96e-03
2024-05-10 03:04:28 transreid.train INFO: Epoch[21] Iter[10/24] Loss: 5.705, Acc: 0.357, Base Lr: 2.96e-03
2024-05-10 03:04:30 transreid.train INFO: Epoch[21] Iter[15/24] Loss: 5.572, Acc: 0.422, Base Lr: 2.96e-03
2024-05-10 03:04:32 transreid.train INFO: Epoch[21] Iter[20/24] Loss: 5.474, Acc: 0.486, Base Lr: 2.96e-03
2024-05-10 03:04:33 transreid.train INFO: Epoch 21 done. Time per epoch: 10.058[s] Speed: 1069.0[samples/s]
2024-05-10 03:04:36 transreid.train INFO: Epoch[22] Iter[5/24] Loss: 5.701, Acc: 0.354, Base Lr: 2.94e-03
2024-05-10 03:04:38 transreid.train INFO: Epoch[22] Iter[10/24] Loss: 5.609, Acc: 0.384, Base Lr: 2.94e-03
2024-05-10 03:04:40 transreid.train INFO: Epoch[22] Iter[15/24] Loss: 5.471, Acc: 0.429, Base Lr: 2.94e-03
2024-05-10 03:04:42 transreid.train INFO: Epoch[22] Iter[20/24] Loss: 5.317, Acc: 0.498, Base Lr: 2.94e-03
2024-05-10 03:04:43 transreid.train INFO: Epoch 22 done. Time per epoch: 10.008[s] Speed: 1074.3[samples/s]
2024-05-10 03:04:46 transreid.train INFO: Epoch[23] Iter[5/24] Loss: 5.549, Acc: 0.346, Base Lr: 2.92e-03
2024-05-10 03:04:48 transreid.train INFO: Epoch[23] Iter[10/24] Loss: 5.448, Acc: 0.384, Base Lr: 2.92e-03
2024-05-10 03:04:50 transreid.train INFO: Epoch[23] Iter[15/24] Loss: 5.305, Acc: 0.435, Base Lr: 2.92e-03
2024-05-10 03:04:52 transreid.train INFO: Epoch[23] Iter[20/24] Loss: 5.153, Acc: 0.500, Base Lr: 2.92e-03
2024-05-10 03:04:53 transreid.train INFO: Epoch 23 done. Time per epoch: 10.038[s] Speed: 1071.2[samples/s]
2024-05-10 03:04:56 transreid.train INFO: Epoch[24] Iter[5/24] Loss: 5.375, Acc: 0.359, Base Lr: 2.90e-03
2024-05-10 03:04:58 transreid.train INFO: Epoch[24] Iter[10/24] Loss: 5.252, Acc: 0.389, Base Lr: 2.90e-03
2024-05-10 03:05:00 transreid.train INFO: Epoch[24] Iter[15/24] Loss: 5.126, Acc: 0.447, Base Lr: 2.90e-03
2024-05-10 03:05:02 transreid.train INFO: Epoch[24] Iter[20/24] Loss: 4.956, Acc: 0.516, Base Lr: 2.90e-03
2024-05-10 03:05:03 transreid.train INFO: Epoch 24 done. Time per epoch: 9.962[s] Speed: 1079.3[samples/s]
2024-05-10 03:05:06 transreid.train INFO: Epoch[25] Iter[5/24] Loss: 5.245, Acc: 0.334, Base Lr: 2.87e-03
2024-05-10 03:05:08 transreid.train INFO: Epoch[25] Iter[10/24] Loss: 5.118, Acc: 0.393, Base Lr: 2.87e-03
2024-05-10 03:05:10 transreid.train INFO: Epoch[25] Iter[15/24] Loss: 4.967, Acc: 0.446, Base Lr: 2.87e-03
2024-05-10 03:05:12 transreid.train INFO: Epoch[25] Iter[20/24] Loss: 4.794, Acc: 0.511, Base Lr: 2.87e-03
2024-05-10 03:05:13 transreid.train INFO: Epoch 25 done. Time per epoch: 10.153[s] Speed: 1059.0[samples/s]
2024-05-10 03:05:17 transreid.train INFO: Epoch[26] Iter[5/24] Loss: 5.095, Acc: 0.359, Base Lr: 2.84e-03
2024-05-10 03:05:19 transreid.train INFO: Epoch[26] Iter[10/24] Loss: 4.978, Acc: 0.391, Base Lr: 2.84e-03
2024-05-10 03:05:20 transreid.train INFO: Epoch[26] Iter[15/24] Loss: 4.859, Acc: 0.438, Base Lr: 2.84e-03
2024-05-10 03:05:22 transreid.train INFO: Epoch[26] Iter[20/24] Loss: 4.662, Acc: 0.516, Base Lr: 2.84e-03
2024-05-10 03:05:23 transreid.train INFO: Epoch 26 done. Time per epoch: 10.172[s] Speed: 1057.0[samples/s]
2024-05-10 03:05:27 transreid.train INFO: Epoch[27] Iter[5/24] Loss: 4.948, Acc: 0.371, Base Lr: 2.82e-03
2024-05-10 03:05:29 transreid.train INFO: Epoch[27] Iter[10/24] Loss: 4.824, Acc: 0.409, Base Lr: 2.82e-03
2024-05-10 03:05:31 transreid.train INFO: Epoch[27] Iter[15/24] Loss: 4.659, Acc: 0.459, Base Lr: 2.82e-03
2024-05-10 03:05:33 transreid.train INFO: Epoch[27] Iter[20/24] Loss: 4.488, Acc: 0.525, Base Lr: 2.82e-03
2024-05-10 03:05:33 transreid.train INFO: Epoch 27 done. Time per epoch: 10.196[s] Speed: 1054.6[samples/s]
2024-05-10 03:05:37 transreid.train INFO: Epoch[28] Iter[5/24] Loss: 4.823, Acc: 0.386, Base Lr: 2.79e-03
2024-05-10 03:05:39 transreid.train INFO: Epoch[28] Iter[10/24] Loss: 4.693, Acc: 0.415, Base Lr: 2.79e-03
2024-05-10 03:05:41 transreid.train INFO: Epoch[28] Iter[15/24] Loss: 4.544, Acc: 0.465, Base Lr: 2.79e-03
2024-05-10 03:05:43 transreid.train INFO: Epoch[28] Iter[20/24] Loss: 4.342, Acc: 0.528, Base Lr: 2.79e-03
2024-05-10 03:05:43 transreid.train INFO: Epoch 28 done. Time per epoch: 10.250[s] Speed: 1048.9[samples/s]
2024-05-10 03:05:47 transreid.train INFO: Epoch[29] Iter[5/24] Loss: 4.744, Acc: 0.370, Base Lr: 2.76e-03
2024-05-10 03:05:49 transreid.train INFO: Epoch[29] Iter[10/24] Loss: 4.556, Acc: 0.421, Base Lr: 2.76e-03
2024-05-10 03:05:51 transreid.train INFO: Epoch[29] Iter[15/24] Loss: 4.394, Acc: 0.470, Base Lr: 2.76e-03
2024-05-10 03:05:53 transreid.train INFO: Epoch[29] Iter[20/24] Loss: 4.200, Acc: 0.540, Base Lr: 2.76e-03
2024-05-10 03:05:54 transreid.train INFO: Epoch 29 done. Time per epoch: 10.370[s] Speed: 1036.9[samples/s]
2024-05-10 03:05:57 transreid.train INFO: Epoch[30] Iter[5/24] Loss: 4.622, Acc: 0.386, Base Lr: 2.73e-03
2024-05-10 03:05:59 transreid.train INFO: Epoch[30] Iter[10/24] Loss: 4.459, Acc: 0.435, Base Lr: 2.73e-03
2024-05-10 03:06:01 transreid.train INFO: Epoch[30] Iter[15/24] Loss: 4.309, Acc: 0.479, Base Lr: 2.73e-03
2024-05-10 03:06:03 transreid.train INFO: Epoch[30] Iter[20/24] Loss: 4.095, Acc: 0.549, Base Lr: 2.73e-03
2024-05-10 03:06:04 transreid.train INFO: Epoch 30 done. Time per epoch: 10.131[s] Speed: 1061.3[samples/s]
2024-05-10 03:06:19 transreid.train INFO: Validation Results - Epoch: 30
2024-05-10 03:06:19 transreid.train INFO: mAP: 86.1%
2024-05-10 03:06:19 transreid.train INFO: CMC curve, Rank-1  :93.9%
2024-05-10 03:06:19 transreid.train INFO: CMC curve, Rank-5  :97.9%
2024-05-10 03:06:19 transreid.train INFO: CMC curve, Rank-10 :98.8%
2024-05-10 03:06:23 transreid.train INFO: Epoch[31] Iter[5/24] Loss: 4.426, Acc: 0.423, Base Lr: 2.70e-03
2024-05-10 03:06:25 transreid.train INFO: Epoch[31] Iter[10/24] Loss: 4.330, Acc: 0.445, Base Lr: 2.70e-03
2024-05-10 03:06:27 transreid.train INFO: Epoch[31] Iter[15/24] Loss: 4.159, Acc: 0.487, Base Lr: 2.70e-03
2024-05-10 03:06:29 transreid.train INFO: Epoch[31] Iter[20/24] Loss: 3.929, Acc: 0.554, Base Lr: 2.70e-03
2024-05-10 03:06:30 transreid.train INFO: Epoch 31 done. Time per epoch: 10.564[s] Speed: 1017.8[samples/s]
2024-05-10 03:06:34 transreid.train INFO: Epoch[32] Iter[5/24] Loss: 4.452, Acc: 0.385, Base Lr: 2.67e-03
2024-05-10 03:06:36 transreid.train INFO: Epoch[32] Iter[10/24] Loss: 4.230, Acc: 0.437, Base Lr: 2.67e-03
2024-05-10 03:06:38 transreid.train INFO: Epoch[32] Iter[15/24] Loss: 4.037, Acc: 0.493, Base Lr: 2.67e-03
2024-05-10 03:06:40 transreid.train INFO: Epoch[32] Iter[20/24] Loss: 3.806, Acc: 0.563, Base Lr: 2.67e-03
2024-05-10 03:06:40 transreid.train INFO: Epoch 32 done. Time per epoch: 10.228[s] Speed: 1051.2[samples/s]
2024-05-10 03:06:44 transreid.train INFO: Epoch[33] Iter[5/24] Loss: 4.277, Acc: 0.409, Base Lr: 2.64e-03
2024-05-10 03:06:46 transreid.train INFO: Epoch[33] Iter[10/24] Loss: 4.106, Acc: 0.454, Base Lr: 2.64e-03
2024-05-10 03:06:48 transreid.train INFO: Epoch[33] Iter[15/24] Loss: 3.904, Acc: 0.509, Base Lr: 2.64e-03
2024-05-10 03:06:50 transreid.train INFO: Epoch[33] Iter[20/24] Loss: 3.667, Acc: 0.577, Base Lr: 2.64e-03
2024-05-10 03:06:50 transreid.train INFO: Epoch 33 done. Time per epoch: 9.975[s] Speed: 1077.9[samples/s]
2024-05-10 03:06:54 transreid.train INFO: Epoch[34] Iter[5/24] Loss: 4.095, Acc: 0.425, Base Lr: 2.61e-03
2024-05-10 03:06:56 transreid.train INFO: Epoch[34] Iter[10/24] Loss: 3.924, Acc: 0.461, Base Lr: 2.61e-03
2024-05-10 03:06:58 transreid.train INFO: Epoch[34] Iter[15/24] Loss: 3.757, Acc: 0.515, Base Lr: 2.61e-03
2024-05-10 03:07:00 transreid.train INFO: Epoch[34] Iter[20/24] Loss: 3.517, Acc: 0.586, Base Lr: 2.61e-03
2024-05-10 03:07:00 transreid.train INFO: Epoch 34 done. Time per epoch: 9.929[s] Speed: 1082.9[samples/s]
2024-05-10 03:07:04 transreid.train INFO: Epoch[35] Iter[5/24] Loss: 4.069, Acc: 0.418, Base Lr: 2.58e-03
2024-05-10 03:07:06 transreid.train INFO: Epoch[35] Iter[10/24] Loss: 3.884, Acc: 0.471, Base Lr: 2.58e-03
2024-05-10 03:07:08 transreid.train INFO: Epoch[35] Iter[15/24] Loss: 3.679, Acc: 0.530, Base Lr: 2.58e-03
2024-05-10 03:07:10 transreid.train INFO: Epoch[35] Iter[20/24] Loss: 3.445, Acc: 0.593, Base Lr: 2.58e-03
2024-05-10 03:07:10 transreid.train INFO: Epoch 35 done. Time per epoch: 10.005[s] Speed: 1074.6[samples/s]
2024-05-10 03:07:14 transreid.train INFO: Epoch[36] Iter[5/24] Loss: 3.975, Acc: 0.449, Base Lr: 2.54e-03
2024-05-10 03:07:16 transreid.train INFO: Epoch[36] Iter[10/24] Loss: 3.763, Acc: 0.494, Base Lr: 2.54e-03
2024-05-10 03:07:18 transreid.train INFO: Epoch[36] Iter[15/24] Loss: 3.550, Acc: 0.544, Base Lr: 2.54e-03
2024-05-10 03:07:20 transreid.train INFO: Epoch[36] Iter[20/24] Loss: 3.306, Acc: 0.606, Base Lr: 2.54e-03
2024-05-10 03:07:20 transreid.train INFO: Epoch 36 done. Time per epoch: 10.184[s] Speed: 1055.8[samples/s]
2024-05-10 03:07:24 transreid.train INFO: Epoch[37] Iter[5/24] Loss: 3.872, Acc: 0.437, Base Lr: 2.51e-03
2024-05-10 03:07:26 transreid.train INFO: Epoch[37] Iter[10/24] Loss: 3.715, Acc: 0.475, Base Lr: 2.51e-03
2024-05-10 03:07:28 transreid.train INFO: Epoch[37] Iter[15/24] Loss: 3.454, Acc: 0.547, Base Lr: 2.51e-03
2024-05-10 03:07:30 transreid.train INFO: Epoch[37] Iter[20/24] Loss: 3.213, Acc: 0.613, Base Lr: 2.51e-03
2024-05-10 03:07:30 transreid.train INFO: Epoch 37 done. Time per epoch: 10.034[s] Speed: 1071.6[samples/s]
2024-05-10 03:07:34 transreid.train INFO: Epoch[38] Iter[5/24] Loss: 3.908, Acc: 0.429, Base Lr: 2.47e-03
2024-05-10 03:07:36 transreid.train INFO: Epoch[38] Iter[10/24] Loss: 3.583, Acc: 0.507, Base Lr: 2.47e-03
2024-05-10 03:07:38 transreid.train INFO: Epoch[38] Iter[15/24] Loss: 3.375, Acc: 0.554, Base Lr: 2.47e-03
2024-05-10 03:07:40 transreid.train INFO: Epoch[38] Iter[20/24] Loss: 3.130, Acc: 0.622, Base Lr: 2.47e-03
2024-05-10 03:07:40 transreid.train INFO: Epoch 38 done. Time per epoch: 9.649[s] Speed: 1061.2[samples/s]
2024-05-10 03:07:44 transreid.train INFO: Epoch[39] Iter[5/24] Loss: 3.565, Acc: 0.487, Base Lr: 2.44e-03
2024-05-10 03:07:46 transreid.train INFO: Epoch[39] Iter[10/24] Loss: 3.450, Acc: 0.513, Base Lr: 2.44e-03
2024-05-10 03:07:47 transreid.train INFO: Epoch[39] Iter[15/24] Loss: 3.242, Acc: 0.568, Base Lr: 2.44e-03
2024-05-10 03:07:49 transreid.train INFO: Epoch[39] Iter[20/24] Loss: 3.002, Acc: 0.636, Base Lr: 2.44e-03
2024-05-10 03:07:50 transreid.train INFO: Epoch 39 done. Time per epoch: 9.983[s] Speed: 1077.1[samples/s]
2024-05-10 03:07:54 transreid.train INFO: Epoch[40] Iter[5/24] Loss: 3.518, Acc: 0.484, Base Lr: 2.40e-03
2024-05-10 03:07:56 transreid.train INFO: Epoch[40] Iter[10/24] Loss: 3.376, Acc: 0.514, Base Lr: 2.40e-03
2024-05-10 03:07:58 transreid.train INFO: Epoch[40] Iter[15/24] Loss: 3.154, Acc: 0.578, Base Lr: 2.40e-03
2024-05-10 03:08:00 transreid.train INFO: Epoch[40] Iter[20/24] Loss: 2.907, Acc: 0.643, Base Lr: 2.40e-03
2024-05-10 03:08:00 transreid.train INFO: Epoch 40 done. Time per epoch: 10.229[s] Speed: 1051.1[samples/s]
2024-05-10 03:08:15 transreid.train INFO: Validation Results - Epoch: 40
2024-05-10 03:08:15 transreid.train INFO: mAP: 89.0%
2024-05-10 03:08:15 transreid.train INFO: CMC curve, Rank-1  :95.2%
2024-05-10 03:08:15 transreid.train INFO: CMC curve, Rank-5  :98.3%
2024-05-10 03:08:15 transreid.train INFO: CMC curve, Rank-10 :98.9%
2024-05-10 03:08:20 transreid.train INFO: Epoch[41] Iter[5/24] Loss: 3.495, Acc: 0.468, Base Lr: 2.37e-03
2024-05-10 03:08:22 transreid.train INFO: Epoch[41] Iter[10/24] Loss: 3.279, Acc: 0.528, Base Lr: 2.37e-03
2024-05-10 03:08:23 transreid.train INFO: Epoch[41] Iter[15/24] Loss: 3.032, Acc: 0.599, Base Lr: 2.37e-03
2024-05-10 03:08:25 transreid.train INFO: Epoch[41] Iter[20/24] Loss: 2.806, Acc: 0.657, Base Lr: 2.37e-03
2024-05-10 03:08:26 transreid.train INFO: Epoch 41 done. Time per epoch: 10.350[s] Speed: 1038.9[samples/s]
2024-05-10 03:08:30 transreid.train INFO: Epoch[42] Iter[5/24] Loss: 3.387, Acc: 0.500, Base Lr: 2.33e-03
2024-05-10 03:08:32 transreid.train INFO: Epoch[42] Iter[10/24] Loss: 3.195, Acc: 0.544, Base Lr: 2.33e-03
2024-05-10 03:08:33 transreid.train INFO: Epoch[42] Iter[15/24] Loss: 2.981, Acc: 0.599, Base Lr: 2.33e-03
2024-05-10 03:08:35 transreid.train INFO: Epoch[42] Iter[20/24] Loss: 2.730, Acc: 0.665, Base Lr: 2.33e-03
2024-05-10 03:08:36 transreid.train INFO: Epoch 42 done. Time per epoch: 10.028[s] Speed: 1072.2[samples/s]
2024-05-10 03:08:40 transreid.train INFO: Epoch[43] Iter[5/24] Loss: 3.355, Acc: 0.482, Base Lr: 2.29e-03
2024-05-10 03:08:42 transreid.train INFO: Epoch[43] Iter[10/24] Loss: 3.138, Acc: 0.542, Base Lr: 2.29e-03
2024-05-10 03:08:43 transreid.train INFO: Epoch[43] Iter[15/24] Loss: 2.913, Acc: 0.603, Base Lr: 2.29e-03
2024-05-10 03:08:45 transreid.train INFO: Epoch[43] Iter[20/24] Loss: 2.639, Acc: 0.675, Base Lr: 2.29e-03
2024-05-10 03:08:46 transreid.train INFO: Epoch 43 done. Time per epoch: 9.956[s] Speed: 1079.9[samples/s]
2024-05-10 03:08:50 transreid.train INFO: Epoch[44] Iter[5/24] Loss: 3.344, Acc: 0.494, Base Lr: 2.25e-03
2024-05-10 03:08:52 transreid.train INFO: Epoch[44] Iter[10/24] Loss: 3.082, Acc: 0.560, Base Lr: 2.25e-03
2024-05-10 03:08:54 transreid.train INFO: Epoch[44] Iter[15/24] Loss: 2.853, Acc: 0.618, Base Lr: 2.25e-03
2024-05-10 03:08:55 transreid.train INFO: Epoch[44] Iter[20/24] Loss: 2.582, Acc: 0.680, Base Lr: 2.25e-03
2024-05-10 03:08:56 transreid.train INFO: Epoch 44 done. Time per epoch: 10.090[s] Speed: 1065.6[samples/s]
2024-05-10 03:09:00 transreid.train INFO: Epoch[45] Iter[5/24] Loss: 3.246, Acc: 0.512, Base Lr: 2.21e-03
2024-05-10 03:09:02 transreid.train INFO: Epoch[45] Iter[10/24] Loss: 3.003, Acc: 0.568, Base Lr: 2.21e-03
2024-05-10 03:09:04 transreid.train INFO: Epoch[45] Iter[15/24] Loss: 2.750, Acc: 0.627, Base Lr: 2.21e-03
2024-05-10 03:09:06 transreid.train INFO: Epoch[45] Iter[20/24] Loss: 2.501, Acc: 0.690, Base Lr: 2.21e-03
2024-05-10 03:09:06 transreid.train INFO: Epoch 45 done. Time per epoch: 10.151[s] Speed: 1059.2[samples/s]
2024-05-10 03:09:10 transreid.train INFO: Epoch[46] Iter[5/24] Loss: 3.189, Acc: 0.514, Base Lr: 2.18e-03
2024-05-10 03:09:12 transreid.train INFO: Epoch[46] Iter[10/24] Loss: 2.870, Acc: 0.583, Base Lr: 2.18e-03
2024-05-10 03:09:14 transreid.train INFO: Epoch[46] Iter[15/24] Loss: 2.636, Acc: 0.642, Base Lr: 2.18e-03
2024-05-10 03:09:16 transreid.train INFO: Epoch[46] Iter[20/24] Loss: 2.399, Acc: 0.702, Base Lr: 2.18e-03
2024-05-10 03:09:16 transreid.train INFO: Epoch 46 done. Time per epoch: 10.024[s] Speed: 1072.6[samples/s]
2024-05-10 03:09:20 transreid.train INFO: Epoch[47] Iter[5/24] Loss: 2.963, Acc: 0.554, Base Lr: 2.14e-03
2024-05-10 03:09:22 transreid.train INFO: Epoch[47] Iter[10/24] Loss: 2.761, Acc: 0.609, Base Lr: 2.14e-03
2024-05-10 03:09:24 transreid.train INFO: Epoch[47] Iter[15/24] Loss: 2.573, Acc: 0.655, Base Lr: 2.14e-03
2024-05-10 03:09:26 transreid.train INFO: Epoch[47] Iter[20/24] Loss: 2.336, Acc: 0.714, Base Lr: 2.14e-03
2024-05-10 03:09:26 transreid.train INFO: Epoch 47 done. Time per epoch: 9.969[s] Speed: 1078.6[samples/s]
2024-05-10 03:09:30 transreid.train INFO: Epoch[48] Iter[5/24] Loss: 3.066, Acc: 0.519, Base Lr: 2.10e-03
2024-05-10 03:09:32 transreid.train INFO: Epoch[48] Iter[10/24] Loss: 2.728, Acc: 0.602, Base Lr: 2.10e-03
2024-05-10 03:09:34 transreid.train INFO: Epoch[48] Iter[15/24] Loss: 2.510, Acc: 0.662, Base Lr: 2.10e-03
2024-05-10 03:09:36 transreid.train INFO: Epoch[48] Iter[20/24] Loss: 2.260, Acc: 0.721, Base Lr: 2.10e-03
2024-05-10 03:09:36 transreid.train INFO: Epoch 48 done. Time per epoch: 10.041[s] Speed: 1070.8[samples/s]
2024-05-10 03:09:40 transreid.train INFO: Epoch[49] Iter[5/24] Loss: 3.002, Acc: 0.536, Base Lr: 2.06e-03
2024-05-10 03:09:42 transreid.train INFO: Epoch[49] Iter[10/24] Loss: 2.724, Acc: 0.611, Base Lr: 2.06e-03
2024-05-10 03:09:44 transreid.train INFO: Epoch[49] Iter[15/24] Loss: 2.482, Acc: 0.672, Base Lr: 2.06e-03
2024-05-10 03:09:46 transreid.train INFO: Epoch[49] Iter[20/24] Loss: 2.229, Acc: 0.730, Base Lr: 2.06e-03
2024-05-10 03:09:46 transreid.train INFO: Epoch 49 done. Time per epoch: 10.076[s] Speed: 1067.0[samples/s]
2024-05-10 03:09:50 transreid.train INFO: Epoch[50] Iter[5/24] Loss: 2.830, Acc: 0.564, Base Lr: 2.02e-03
2024-05-10 03:09:52 transreid.train INFO: Epoch[50] Iter[10/24] Loss: 2.573, Acc: 0.629, Base Lr: 2.02e-03
2024-05-10 03:09:54 transreid.train INFO: Epoch[50] Iter[15/24] Loss: 2.396, Acc: 0.677, Base Lr: 2.02e-03
2024-05-10 03:09:56 transreid.train INFO: Epoch[50] Iter[20/24] Loss: 2.153, Acc: 0.734, Base Lr: 2.02e-03
2024-05-10 03:09:56 transreid.train INFO: Epoch 50 done. Time per epoch: 9.994[s] Speed: 1075.8[samples/s]
2024-05-10 03:10:11 transreid.train INFO: Validation Results - Epoch: 50
2024-05-10 03:10:11 transreid.train INFO: mAP: 89.4%
2024-05-10 03:10:11 transreid.train INFO: CMC curve, Rank-1  :95.3%
2024-05-10 03:10:11 transreid.train INFO: CMC curve, Rank-5  :98.4%
2024-05-10 03:10:11 transreid.train INFO: CMC curve, Rank-10 :99.0%
2024-05-10 03:10:15 transreid.train INFO: Epoch[51] Iter[5/24] Loss: 2.818, Acc: 0.577, Base Lr: 1.98e-03
2024-05-10 03:10:17 transreid.train INFO: Epoch[51] Iter[10/24] Loss: 2.567, Acc: 0.633, Base Lr: 1.98e-03
2024-05-10 03:10:19 transreid.train INFO: Epoch[51] Iter[15/24] Loss: 2.355, Acc: 0.685, Base Lr: 1.98e-03
2024-05-10 03:10:21 transreid.train INFO: Epoch[51] Iter[20/24] Loss: 2.106, Acc: 0.744, Base Lr: 1.98e-03
2024-05-10 03:10:22 transreid.train INFO: Epoch 51 done. Time per epoch: 10.123[s] Speed: 1062.1[samples/s]
2024-05-10 03:10:25 transreid.train INFO: Epoch[52] Iter[5/24] Loss: 2.655, Acc: 0.599, Base Lr: 1.94e-03
2024-05-10 03:10:27 transreid.train INFO: Epoch[52] Iter[10/24] Loss: 2.469, Acc: 0.646, Base Lr: 1.94e-03
2024-05-10 03:10:29 transreid.train INFO: Epoch[52] Iter[15/24] Loss: 2.263, Acc: 0.699, Base Lr: 1.94e-03
2024-05-10 03:10:31 transreid.train INFO: Epoch[52] Iter[20/24] Loss: 2.039, Acc: 0.753, Base Lr: 1.94e-03
2024-05-10 03:10:31 transreid.train INFO: Epoch 52 done. Time per epoch: 9.937[s] Speed: 1082.1[samples/s]
2024-05-10 03:10:35 transreid.train INFO: Epoch[53] Iter[5/24] Loss: 2.774, Acc: 0.586, Base Lr: 1.89e-03
2024-05-10 03:10:37 transreid.train INFO: Epoch[53] Iter[10/24] Loss: 2.490, Acc: 0.644, Base Lr: 1.89e-03
2024-05-10 03:10:39 transreid.train INFO: Epoch[53] Iter[15/24] Loss: 2.222, Acc: 0.710, Base Lr: 1.89e-03
2024-05-10 03:10:41 transreid.train INFO: Epoch[53] Iter[20/24] Loss: 1.980, Acc: 0.763, Base Lr: 1.89e-03
2024-05-10 03:10:42 transreid.train INFO: Epoch 53 done. Time per epoch: 10.056[s] Speed: 1069.2[samples/s]
2024-05-10 03:10:45 transreid.train INFO: Epoch[54] Iter[5/24] Loss: 2.609, Acc: 0.612, Base Lr: 1.85e-03
2024-05-10 03:10:47 transreid.train INFO: Epoch[54] Iter[10/24] Loss: 2.376, Acc: 0.655, Base Lr: 1.85e-03
2024-05-10 03:10:49 transreid.train INFO: Epoch[54] Iter[15/24] Loss: 2.161, Acc: 0.713, Base Lr: 1.85e-03
2024-05-10 03:10:51 transreid.train INFO: Epoch[54] Iter[20/24] Loss: 1.935, Acc: 0.765, Base Lr: 1.85e-03
2024-05-10 03:10:51 transreid.train INFO: Epoch 54 done. Time per epoch: 9.637[s] Speed: 1062.5[samples/s]
2024-05-10 03:10:55 transreid.train INFO: Epoch[55] Iter[5/24] Loss: 2.624, Acc: 0.597, Base Lr: 1.81e-03
2024-05-10 03:10:57 transreid.train INFO: Epoch[55] Iter[10/24] Loss: 2.361, Acc: 0.662, Base Lr: 1.81e-03
2024-05-10 03:10:59 transreid.train INFO: Epoch[55] Iter[15/24] Loss: 2.149, Acc: 0.717, Base Lr: 1.81e-03
2024-05-10 03:11:01 transreid.train INFO: Epoch[55] Iter[20/24] Loss: 1.899, Acc: 0.771, Base Lr: 1.81e-03
2024-05-10 03:11:01 transreid.train INFO: Epoch 55 done. Time per epoch: 9.910[s] Speed: 1085.0[samples/s]
2024-05-10 03:11:05 transreid.train INFO: Epoch[56] Iter[5/24] Loss: 2.545, Acc: 0.632, Base Lr: 1.77e-03
2024-05-10 03:11:07 transreid.train INFO: Epoch[56] Iter[10/24] Loss: 2.370, Acc: 0.671, Base Lr: 1.77e-03
2024-05-10 03:11:09 transreid.train INFO: Epoch[56] Iter[15/24] Loss: 2.126, Acc: 0.722, Base Lr: 1.77e-03
2024-05-10 03:11:11 transreid.train INFO: Epoch[56] Iter[20/24] Loss: 1.860, Acc: 0.779, Base Lr: 1.77e-03
2024-05-10 03:11:11 transreid.train INFO: Epoch 56 done. Time per epoch: 10.171[s] Speed: 1057.2[samples/s]
2024-05-10 03:11:15 transreid.train INFO: Epoch[57] Iter[5/24] Loss: 2.600, Acc: 0.605, Base Lr: 1.73e-03
2024-05-10 03:11:17 transreid.train INFO: Epoch[57] Iter[10/24] Loss: 2.311, Acc: 0.671, Base Lr: 1.73e-03
2024-05-10 03:11:19 transreid.train INFO: Epoch[57] Iter[15/24] Loss: 2.064, Acc: 0.727, Base Lr: 1.73e-03
2024-05-10 03:11:21 transreid.train INFO: Epoch[57] Iter[20/24] Loss: 1.807, Acc: 0.785, Base Lr: 1.73e-03
2024-05-10 03:11:21 transreid.train INFO: Epoch 57 done. Time per epoch: 10.057[s] Speed: 1069.1[samples/s]
2024-05-10 03:11:25 transreid.train INFO: Epoch[58] Iter[5/24] Loss: 2.453, Acc: 0.648, Base Lr: 1.69e-03
2024-05-10 03:11:27 transreid.train INFO: Epoch[58] Iter[10/24] Loss: 2.227, Acc: 0.689, Base Lr: 1.69e-03
2024-05-10 03:11:29 transreid.train INFO: Epoch[58] Iter[15/24] Loss: 1.992, Acc: 0.740, Base Lr: 1.69e-03
2024-05-10 03:11:31 transreid.train INFO: Epoch[58] Iter[20/24] Loss: 1.779, Acc: 0.787, Base Lr: 1.69e-03
2024-05-10 03:11:31 transreid.train INFO: Epoch 58 done. Time per epoch: 9.639[s] Speed: 1062.4[samples/s]
2024-05-10 03:11:35 transreid.train INFO: Epoch[59] Iter[5/24] Loss: 2.267, Acc: 0.670, Base Lr: 1.64e-03
2024-05-10 03:11:37 transreid.train INFO: Epoch[59] Iter[10/24] Loss: 2.115, Acc: 0.704, Base Lr: 1.64e-03
2024-05-10 03:11:38 transreid.train INFO: Epoch[59] Iter[15/24] Loss: 1.935, Acc: 0.748, Base Lr: 1.64e-03
2024-05-10 03:11:40 transreid.train INFO: Epoch[59] Iter[20/24] Loss: 1.711, Acc: 0.795, Base Lr: 1.64e-03
2024-05-10 03:11:41 transreid.train INFO: Epoch 59 done. Time per epoch: 9.957[s] Speed: 1079.9[samples/s]
2024-05-10 03:11:45 transreid.train INFO: Epoch[60] Iter[5/24] Loss: 2.341, Acc: 0.653, Base Lr: 1.60e-03
2024-05-10 03:11:47 transreid.train INFO: Epoch[60] Iter[10/24] Loss: 2.126, Acc: 0.704, Base Lr: 1.60e-03
2024-05-10 03:11:49 transreid.train INFO: Epoch[60] Iter[15/24] Loss: 1.893, Acc: 0.754, Base Lr: 1.60e-03
2024-05-10 03:11:51 transreid.train INFO: Epoch[60] Iter[20/24] Loss: 1.674, Acc: 0.801, Base Lr: 1.60e-03
2024-05-10 03:11:51 transreid.train INFO: Epoch 60 done. Time per epoch: 10.222[s] Speed: 1051.8[samples/s]
2024-05-10 03:12:06 transreid.train INFO: Validation Results - Epoch: 60
2024-05-10 03:12:06 transreid.train INFO: mAP: 90.5%
2024-05-10 03:12:06 transreid.train INFO: CMC curve, Rank-1  :95.7%
2024-05-10 03:12:06 transreid.train INFO: CMC curve, Rank-5  :98.6%
2024-05-10 03:12:06 transreid.train INFO: CMC curve, Rank-10 :99.2%
2024-05-10 03:12:10 transreid.train INFO: Epoch[61] Iter[5/24] Loss: 2.308, Acc: 0.652, Base Lr: 1.56e-03
2024-05-10 03:12:12 transreid.train INFO: Epoch[61] Iter[10/24] Loss: 2.059, Acc: 0.710, Base Lr: 1.56e-03
2024-05-10 03:12:14 transreid.train INFO: Epoch[61] Iter[15/24] Loss: 1.849, Acc: 0.760, Base Lr: 1.56e-03
2024-05-10 03:12:16 transreid.train INFO: Epoch[61] Iter[20/24] Loss: 1.647, Acc: 0.803, Base Lr: 1.56e-03
2024-05-10 03:12:16 transreid.train INFO: Epoch 61 done. Time per epoch: 10.093[s] Speed: 1065.3[samples/s]
2024-05-10 03:12:20 transreid.train INFO: Epoch[62] Iter[5/24] Loss: 2.237, Acc: 0.682, Base Lr: 1.52e-03
2024-05-10 03:12:22 transreid.train INFO: Epoch[62] Iter[10/24] Loss: 2.086, Acc: 0.711, Base Lr: 1.52e-03
2024-05-10 03:12:24 transreid.train INFO: Epoch[62] Iter[15/24] Loss: 1.849, Acc: 0.764, Base Lr: 1.52e-03
2024-05-10 03:12:26 transreid.train INFO: Epoch[62] Iter[20/24] Loss: 1.615, Acc: 0.811, Base Lr: 1.52e-03
2024-05-10 03:12:26 transreid.train INFO: Epoch 62 done. Time per epoch: 9.987[s] Speed: 1076.6[samples/s]
2024-05-10 03:12:30 transreid.train INFO: Epoch[63] Iter[5/24] Loss: 2.151, Acc: 0.667, Base Lr: 1.48e-03
2024-05-10 03:12:32 transreid.train INFO: Epoch[63] Iter[10/24] Loss: 1.985, Acc: 0.715, Base Lr: 1.48e-03
2024-05-10 03:12:34 transreid.train INFO: Epoch[63] Iter[15/24] Loss: 1.768, Acc: 0.767, Base Lr: 1.48e-03
2024-05-10 03:12:36 transreid.train INFO: Epoch[63] Iter[20/24] Loss: 1.554, Acc: 0.812, Base Lr: 1.48e-03
2024-05-10 03:12:36 transreid.train INFO: Epoch 63 done. Time per epoch: 10.221[s] Speed: 1051.9[samples/s]
2024-05-10 03:12:40 transreid.train INFO: Epoch[64] Iter[5/24] Loss: 2.256, Acc: 0.646, Base Lr: 1.44e-03
2024-05-10 03:12:42 transreid.train INFO: Epoch[64] Iter[10/24] Loss: 1.984, Acc: 0.714, Base Lr: 1.44e-03
2024-05-10 03:12:44 transreid.train INFO: Epoch[64] Iter[15/24] Loss: 1.730, Acc: 0.779, Base Lr: 1.44e-03
2024-05-10 03:12:46 transreid.train INFO: Epoch[64] Iter[20/24] Loss: 1.531, Acc: 0.817, Base Lr: 1.44e-03
2024-05-10 03:12:46 transreid.train INFO: Epoch 64 done. Time per epoch: 10.160[s] Speed: 1058.3[samples/s]
2024-05-10 03:12:50 transreid.train INFO: Epoch[65] Iter[5/24] Loss: 2.182, Acc: 0.671, Base Lr: 1.39e-03
2024-05-10 03:12:52 transreid.train INFO: Epoch[65] Iter[10/24] Loss: 1.922, Acc: 0.733, Base Lr: 1.39e-03
2024-05-10 03:12:54 transreid.train INFO: Epoch[65] Iter[15/24] Loss: 1.726, Acc: 0.774, Base Lr: 1.39e-03
2024-05-10 03:12:56 transreid.train INFO: Epoch[65] Iter[20/24] Loss: 1.529, Acc: 0.817, Base Lr: 1.39e-03
2024-05-10 03:12:56 transreid.train INFO: Epoch 65 done. Time per epoch: 10.001[s] Speed: 1075.1[samples/s]
2024-05-10 03:13:00 transreid.train INFO: Epoch[66] Iter[5/24] Loss: 2.122, Acc: 0.685, Base Lr: 1.35e-03
2024-05-10 03:13:02 transreid.train INFO: Epoch[66] Iter[10/24] Loss: 1.881, Acc: 0.741, Base Lr: 1.35e-03
2024-05-10 03:13:04 transreid.train INFO: Epoch[66] Iter[15/24] Loss: 1.706, Acc: 0.779, Base Lr: 1.35e-03
2024-05-10 03:13:06 transreid.train INFO: Epoch[66] Iter[20/24] Loss: 1.483, Acc: 0.823, Base Lr: 1.35e-03
2024-05-10 03:13:06 transreid.train INFO: Epoch 66 done. Time per epoch: 9.984[s] Speed: 1076.9[samples/s]
2024-05-10 03:13:10 transreid.train INFO: Epoch[67] Iter[5/24] Loss: 2.051, Acc: 0.691, Base Lr: 1.31e-03
2024-05-10 03:13:12 transreid.train INFO: Epoch[67] Iter[10/24] Loss: 1.849, Acc: 0.742, Base Lr: 1.31e-03
2024-05-10 03:13:14 transreid.train INFO: Epoch[67] Iter[15/24] Loss: 1.633, Acc: 0.787, Base Lr: 1.31e-03
2024-05-10 03:13:16 transreid.train INFO: Epoch[67] Iter[20/24] Loss: 1.450, Acc: 0.828, Base Lr: 1.31e-03
2024-05-10 03:13:16 transreid.train INFO: Epoch 67 done. Time per epoch: 9.969[s] Speed: 1078.5[samples/s]
2024-05-10 03:13:20 transreid.train INFO: Epoch[68] Iter[5/24] Loss: 2.146, Acc: 0.668, Base Lr: 1.27e-03
2024-05-10 03:13:22 transreid.train INFO: Epoch[68] Iter[10/24] Loss: 1.860, Acc: 0.736, Base Lr: 1.27e-03
2024-05-10 03:13:24 transreid.train INFO: Epoch[68] Iter[15/24] Loss: 1.632, Acc: 0.785, Base Lr: 1.27e-03
2024-05-10 03:13:26 transreid.train INFO: Epoch[68] Iter[20/24] Loss: 1.434, Acc: 0.827, Base Lr: 1.27e-03
2024-05-10 03:13:27 transreid.train INFO: Epoch 68 done. Time per epoch: 10.145[s] Speed: 1059.8[samples/s]
2024-05-10 03:13:30 transreid.train INFO: Epoch[69] Iter[5/24] Loss: 2.076, Acc: 0.688, Base Lr: 1.23e-03
2024-05-10 03:13:32 transreid.train INFO: Epoch[69] Iter[10/24] Loss: 1.900, Acc: 0.726, Base Lr: 1.23e-03
2024-05-10 03:13:34 transreid.train INFO: Epoch[69] Iter[15/24] Loss: 1.643, Acc: 0.785, Base Lr: 1.23e-03
2024-05-10 03:13:36 transreid.train INFO: Epoch[69] Iter[20/24] Loss: 1.422, Acc: 0.831, Base Lr: 1.23e-03
2024-05-10 03:13:37 transreid.train INFO: Epoch 69 done. Time per epoch: 10.037[s] Speed: 1071.2[samples/s]
2024-05-10 03:13:41 transreid.train INFO: Epoch[70] Iter[5/24] Loss: 2.048, Acc: 0.679, Base Lr: 1.19e-03
2024-05-10 03:13:43 transreid.train INFO: Epoch[70] Iter[10/24] Loss: 1.784, Acc: 0.742, Base Lr: 1.19e-03
2024-05-10 03:13:45 transreid.train INFO: Epoch[70] Iter[15/24] Loss: 1.580, Acc: 0.791, Base Lr: 1.19e-03
2024-05-10 03:13:47 transreid.train INFO: Epoch[70] Iter[20/24] Loss: 1.392, Acc: 0.833, Base Lr: 1.19e-03
2024-05-10 03:13:47 transreid.train INFO: Epoch 70 done. Time per epoch: 10.496[s] Speed: 1024.4[samples/s]
2024-05-10 03:14:02 transreid.train INFO: Validation Results - Epoch: 70
2024-05-10 03:14:02 transreid.train INFO: mAP: 91.0%
2024-05-10 03:14:02 transreid.train INFO: CMC curve, Rank-1  :96.1%
2024-05-10 03:14:02 transreid.train INFO: CMC curve, Rank-5  :98.6%
2024-05-10 03:14:02 transreid.train INFO: CMC curve, Rank-10 :99.0%
2024-05-10 03:14:06 transreid.train INFO: Epoch[71] Iter[5/24] Loss: 2.031, Acc: 0.684, Base Lr: 1.15e-03
2024-05-10 03:14:08 transreid.train INFO: Epoch[71] Iter[10/24] Loss: 1.801, Acc: 0.743, Base Lr: 1.15e-03
2024-05-10 03:14:10 transreid.train INFO: Epoch[71] Iter[15/24] Loss: 1.586, Acc: 0.793, Base Lr: 1.15e-03
2024-05-10 03:14:12 transreid.train INFO: Epoch[71] Iter[20/24] Loss: 1.379, Acc: 0.834, Base Lr: 1.15e-03
2024-05-10 03:14:13 transreid.train INFO: Epoch 71 done. Time per epoch: 10.068[s] Speed: 1068.0[samples/s]
2024-05-10 03:14:16 transreid.train INFO: Epoch[72] Iter[5/24] Loss: 2.025, Acc: 0.687, Base Lr: 1.11e-03
2024-05-10 03:14:18 transreid.train INFO: Epoch[72] Iter[10/24] Loss: 1.755, Acc: 0.749, Base Lr: 1.11e-03
2024-05-10 03:14:20 transreid.train INFO: Epoch[72] Iter[15/24] Loss: 1.544, Acc: 0.800, Base Lr: 1.11e-03
2024-05-10 03:14:22 transreid.train INFO: Epoch[72] Iter[20/24] Loss: 1.342, Acc: 0.839, Base Lr: 1.11e-03
2024-05-10 03:14:23 transreid.train INFO: Epoch 72 done. Time per epoch: 9.982[s] Speed: 1077.2[samples/s]
2024-05-10 03:14:26 transreid.train INFO: Epoch[73] Iter[5/24] Loss: 1.984, Acc: 0.697, Base Lr: 1.07e-03
2024-05-10 03:14:28 transreid.train INFO: Epoch[73] Iter[10/24] Loss: 1.782, Acc: 0.744, Base Lr: 1.07e-03
2024-05-10 03:14:30 transreid.train INFO: Epoch[73] Iter[15/24] Loss: 1.536, Acc: 0.797, Base Lr: 1.07e-03
2024-05-10 03:14:32 transreid.train INFO: Epoch[73] Iter[20/24] Loss: 1.325, Acc: 0.842, Base Lr: 1.07e-03
2024-05-10 03:14:33 transreid.train INFO: Epoch 73 done. Time per epoch: 9.926[s] Speed: 1083.2[samples/s]
2024-05-10 03:14:36 transreid.train INFO: Epoch[74] Iter[5/24] Loss: 1.925, Acc: 0.697, Base Lr: 1.03e-03
2024-05-10 03:14:38 transreid.train INFO: Epoch[74] Iter[10/24] Loss: 1.663, Acc: 0.761, Base Lr: 1.03e-03
2024-05-10 03:14:40 transreid.train INFO: Epoch[74] Iter[15/24] Loss: 1.474, Acc: 0.806, Base Lr: 1.03e-03
2024-05-10 03:14:42 transreid.train INFO: Epoch[74] Iter[20/24] Loss: 1.291, Acc: 0.843, Base Lr: 1.03e-03
2024-05-10 03:14:43 transreid.train INFO: Epoch 74 done. Time per epoch: 9.999[s] Speed: 1075.3[samples/s]
2024-05-10 03:14:46 transreid.train INFO: Epoch[75] Iter[5/24] Loss: 1.980, Acc: 0.691, Base Lr: 9.92e-04
2024-05-10 03:14:48 transreid.train INFO: Epoch[75] Iter[10/24] Loss: 1.661, Acc: 0.763, Base Lr: 9.92e-04
2024-05-10 03:14:50 transreid.train INFO: Epoch[75] Iter[15/24] Loss: 1.473, Acc: 0.807, Base Lr: 9.92e-04
2024-05-10 03:14:52 transreid.train INFO: Epoch[75] Iter[20/24] Loss: 1.291, Acc: 0.846, Base Lr: 9.92e-04
2024-05-10 03:14:52 transreid.train INFO: Epoch 75 done. Time per epoch: 9.921[s] Speed: 1083.8[samples/s]
2024-05-10 03:14:56 transreid.train INFO: Epoch[76] Iter[5/24] Loss: 1.992, Acc: 0.701, Base Lr: 9.54e-04
2024-05-10 03:14:58 transreid.train INFO: Epoch[76] Iter[10/24] Loss: 1.711, Acc: 0.756, Base Lr: 9.54e-04
2024-05-10 03:15:00 transreid.train INFO: Epoch[76] Iter[15/24] Loss: 1.487, Acc: 0.808, Base Lr: 9.54e-04
2024-05-10 03:15:02 transreid.train INFO: Epoch[76] Iter[20/24] Loss: 1.294, Acc: 0.848, Base Lr: 9.54e-04
2024-05-10 03:15:03 transreid.train INFO: Epoch 76 done. Time per epoch: 10.096[s] Speed: 1064.9[samples/s]
2024-05-10 03:15:06 transreid.train INFO: Epoch[77] Iter[5/24] Loss: 1.861, Acc: 0.706, Base Lr: 9.16e-04
2024-05-10 03:15:08 transreid.train INFO: Epoch[77] Iter[10/24] Loss: 1.631, Acc: 0.760, Base Lr: 9.16e-04
2024-05-10 03:15:10 transreid.train INFO: Epoch[77] Iter[15/24] Loss: 1.434, Acc: 0.809, Base Lr: 9.16e-04
2024-05-10 03:15:12 transreid.train INFO: Epoch[77] Iter[20/24] Loss: 1.245, Acc: 0.849, Base Lr: 9.16e-04
2024-05-10 03:15:13 transreid.train INFO: Epoch 77 done. Time per epoch: 9.977[s] Speed: 1077.7[samples/s]
2024-05-10 03:15:16 transreid.train INFO: Epoch[78] Iter[5/24] Loss: 1.917, Acc: 0.702, Base Lr: 8.78e-04
2024-05-10 03:15:18 transreid.train INFO: Epoch[78] Iter[10/24] Loss: 1.634, Acc: 0.766, Base Lr: 8.78e-04
2024-05-10 03:15:20 transreid.train INFO: Epoch[78] Iter[15/24] Loss: 1.419, Acc: 0.811, Base Lr: 8.78e-04
2024-05-10 03:15:22 transreid.train INFO: Epoch[78] Iter[20/24] Loss: 1.228, Acc: 0.849, Base Lr: 8.78e-04
2024-05-10 03:15:22 transreid.train INFO: Epoch 78 done. Time per epoch: 9.959[s] Speed: 1079.7[samples/s]
2024-05-10 03:15:26 transreid.train INFO: Epoch[79] Iter[5/24] Loss: 1.816, Acc: 0.732, Base Lr: 8.41e-04
2024-05-10 03:15:28 transreid.train INFO: Epoch[79] Iter[10/24] Loss: 1.607, Acc: 0.776, Base Lr: 8.41e-04
2024-05-10 03:15:30 transreid.train INFO: Epoch[79] Iter[15/24] Loss: 1.416, Acc: 0.815, Base Lr: 8.41e-04
2024-05-10 03:15:32 transreid.train INFO: Epoch[79] Iter[20/24] Loss: 1.226, Acc: 0.853, Base Lr: 8.41e-04
2024-05-10 03:15:32 transreid.train INFO: Epoch 79 done. Time per epoch: 10.004[s] Speed: 1074.8[samples/s]
2024-05-10 03:15:36 transreid.train INFO: Epoch[80] Iter[5/24] Loss: 1.750, Acc: 0.733, Base Lr: 8.05e-04
2024-05-10 03:15:38 transreid.train INFO: Epoch[80] Iter[10/24] Loss: 1.557, Acc: 0.779, Base Lr: 8.05e-04
2024-05-10 03:15:40 transreid.train INFO: Epoch[80] Iter[15/24] Loss: 1.375, Acc: 0.820, Base Lr: 8.05e-04
2024-05-10 03:15:42 transreid.train INFO: Epoch[80] Iter[20/24] Loss: 1.198, Acc: 0.855, Base Lr: 8.05e-04
2024-05-10 03:15:42 transreid.train INFO: Epoch 80 done. Time per epoch: 9.969[s] Speed: 1078.6[samples/s]
2024-05-10 03:15:56 transreid.train INFO: Validation Results - Epoch: 80
2024-05-10 03:15:56 transreid.train INFO: mAP: 91.0%
2024-05-10 03:15:56 transreid.train INFO: CMC curve, Rank-1  :95.8%
2024-05-10 03:15:56 transreid.train INFO: CMC curve, Rank-5  :98.5%
2024-05-10 03:15:56 transreid.train INFO: CMC curve, Rank-10 :99.1%
2024-05-10 03:16:01 transreid.train INFO: Epoch[81] Iter[5/24] Loss: 1.736, Acc: 0.735, Base Lr: 7.69e-04
2024-05-10 03:16:03 transreid.train INFO: Epoch[81] Iter[10/24] Loss: 1.568, Acc: 0.769, Base Lr: 7.69e-04
2024-05-10 03:16:05 transreid.train INFO: Epoch[81] Iter[15/24] Loss: 1.368, Acc: 0.815, Base Lr: 7.69e-04
2024-05-10 03:16:07 transreid.train INFO: Epoch[81] Iter[20/24] Loss: 1.188, Acc: 0.854, Base Lr: 7.69e-04
2024-05-10 03:16:07 transreid.train INFO: Epoch 81 done. Time per epoch: 10.646[s] Speed: 1010.0[samples/s]
2024-05-10 03:16:11 transreid.train INFO: Epoch[82] Iter[5/24] Loss: 1.869, Acc: 0.710, Base Lr: 7.34e-04
2024-05-10 03:16:13 transreid.train INFO: Epoch[82] Iter[10/24] Loss: 1.584, Acc: 0.774, Base Lr: 7.34e-04
2024-05-10 03:16:15 transreid.train INFO: Epoch[82] Iter[15/24] Loss: 1.375, Acc: 0.819, Base Lr: 7.34e-04
2024-05-10 03:16:17 transreid.train INFO: Epoch[82] Iter[20/24] Loss: 1.176, Acc: 0.859, Base Lr: 7.34e-04
2024-05-10 03:16:17 transreid.train INFO: Epoch 82 done. Time per epoch: 10.069[s] Speed: 1067.8[samples/s]
2024-05-10 03:16:21 transreid.train INFO: Epoch[83] Iter[5/24] Loss: 1.736, Acc: 0.736, Base Lr: 6.99e-04
2024-05-10 03:16:23 transreid.train INFO: Epoch[83] Iter[10/24] Loss: 1.542, Acc: 0.782, Base Lr: 6.99e-04
2024-05-10 03:16:25 transreid.train INFO: Epoch[83] Iter[15/24] Loss: 1.332, Acc: 0.828, Base Lr: 6.99e-04
2024-05-10 03:16:27 transreid.train INFO: Epoch[83] Iter[20/24] Loss: 1.154, Acc: 0.862, Base Lr: 6.99e-04
2024-05-10 03:16:27 transreid.train INFO: Epoch 83 done. Time per epoch: 9.981[s] Speed: 1077.3[samples/s]
2024-05-10 03:16:31 transreid.train INFO: Epoch[84] Iter[5/24] Loss: 1.757, Acc: 0.729, Base Lr: 6.65e-04
2024-05-10 03:16:33 transreid.train INFO: Epoch[84] Iter[10/24] Loss: 1.559, Acc: 0.776, Base Lr: 6.65e-04
2024-05-10 03:16:35 transreid.train INFO: Epoch[84] Iter[15/24] Loss: 1.357, Acc: 0.823, Base Lr: 6.65e-04
2024-05-10 03:16:37 transreid.train INFO: Epoch[84] Iter[20/24] Loss: 1.163, Acc: 0.862, Base Lr: 6.65e-04
2024-05-10 03:16:37 transreid.train INFO: Epoch 84 done. Time per epoch: 10.010[s] Speed: 1074.1[samples/s]
2024-05-10 03:16:41 transreid.train INFO: Epoch[85] Iter[5/24] Loss: 1.712, Acc: 0.752, Base Lr: 6.31e-04
2024-05-10 03:16:43 transreid.train INFO: Epoch[85] Iter[10/24] Loss: 1.485, Acc: 0.792, Base Lr: 6.31e-04
2024-05-10 03:16:45 transreid.train INFO: Epoch[85] Iter[15/24] Loss: 1.313, Acc: 0.828, Base Lr: 6.31e-04
2024-05-10 03:16:47 transreid.train INFO: Epoch[85] Iter[20/24] Loss: 1.144, Acc: 0.862, Base Lr: 6.31e-04
2024-05-10 03:16:47 transreid.train INFO: Epoch 85 done. Time per epoch: 10.000[s] Speed: 1075.2[samples/s]
2024-05-10 03:16:51 transreid.train INFO: Epoch[86] Iter[5/24] Loss: 1.805, Acc: 0.718, Base Lr: 5.98e-04
2024-05-10 03:16:53 transreid.train INFO: Epoch[86] Iter[10/24] Loss: 1.548, Acc: 0.775, Base Lr: 5.98e-04
2024-05-10 03:16:55 transreid.train INFO: Epoch[86] Iter[15/24] Loss: 1.332, Acc: 0.825, Base Lr: 5.98e-04
2024-05-10 03:16:57 transreid.train INFO: Epoch[86] Iter[20/24] Loss: 1.143, Acc: 0.864, Base Lr: 5.98e-04
2024-05-10 03:16:57 transreid.train INFO: Epoch 86 done. Time per epoch: 9.988[s] Speed: 1076.4[samples/s]
2024-05-10 03:17:01 transreid.train INFO: Epoch[87] Iter[5/24] Loss: 1.683, Acc: 0.739, Base Lr: 5.66e-04
2024-05-10 03:17:03 transreid.train INFO: Epoch[87] Iter[10/24] Loss: 1.488, Acc: 0.788, Base Lr: 5.66e-04
2024-05-10 03:17:05 transreid.train INFO: Epoch[87] Iter[15/24] Loss: 1.309, Acc: 0.829, Base Lr: 5.66e-04
2024-05-10 03:17:07 transreid.train INFO: Epoch[87] Iter[20/24] Loss: 1.136, Acc: 0.865, Base Lr: 5.66e-04
2024-05-10 03:17:08 transreid.train INFO: Epoch 87 done. Time per epoch: 10.149[s] Speed: 1059.4[samples/s]
2024-05-10 03:17:11 transreid.train INFO: Epoch[88] Iter[5/24] Loss: 1.691, Acc: 0.748, Base Lr: 5.35e-04
2024-05-10 03:17:13 transreid.train INFO: Epoch[88] Iter[10/24] Loss: 1.521, Acc: 0.784, Base Lr: 5.35e-04
2024-05-10 03:17:15 transreid.train INFO: Epoch[88] Iter[15/24] Loss: 1.304, Acc: 0.831, Base Lr: 5.35e-04
2024-05-10 03:17:17 transreid.train INFO: Epoch[88] Iter[20/24] Loss: 1.122, Acc: 0.868, Base Lr: 5.35e-04
2024-05-10 03:17:18 transreid.train INFO: Epoch 88 done. Time per epoch: 10.137[s] Speed: 1060.7[samples/s]
2024-05-10 03:17:21 transreid.train INFO: Epoch[89] Iter[5/24] Loss: 1.708, Acc: 0.748, Base Lr: 5.04e-04
2024-05-10 03:17:23 transreid.train INFO: Epoch[89] Iter[10/24] Loss: 1.493, Acc: 0.796, Base Lr: 5.04e-04
2024-05-10 03:17:25 transreid.train INFO: Epoch[89] Iter[15/24] Loss: 1.299, Acc: 0.833, Base Lr: 5.04e-04
2024-05-10 03:17:27 transreid.train INFO: Epoch[89] Iter[20/24] Loss: 1.116, Acc: 0.868, Base Lr: 5.04e-04
2024-05-10 03:17:28 transreid.train INFO: Epoch 89 done. Time per epoch: 10.013[s] Speed: 1073.9[samples/s]
2024-05-10 03:17:31 transreid.train INFO: Epoch[90] Iter[5/24] Loss: 1.714, Acc: 0.740, Base Lr: 4.74e-04
2024-05-10 03:17:33 transreid.train INFO: Epoch[90] Iter[10/24] Loss: 1.488, Acc: 0.792, Base Lr: 4.74e-04
2024-05-10 03:17:35 transreid.train INFO: Epoch[90] Iter[15/24] Loss: 1.281, Acc: 0.835, Base Lr: 4.74e-04
2024-05-10 03:17:37 transreid.train INFO: Epoch[90] Iter[20/24] Loss: 1.102, Acc: 0.871, Base Lr: 4.74e-04
2024-05-10 03:17:38 transreid.train INFO: Epoch 90 done. Time per epoch: 9.995[s] Speed: 1075.7[samples/s]
2024-05-10 03:17:52 transreid.train INFO: Validation Results - Epoch: 90
2024-05-10 03:17:52 transreid.train INFO: mAP: 91.1%
2024-05-10 03:17:52 transreid.train INFO: CMC curve, Rank-1  :96.2%
2024-05-10 03:17:52 transreid.train INFO: CMC curve, Rank-5  :98.6%
2024-05-10 03:17:52 transreid.train INFO: CMC curve, Rank-10 :99.0%
2024-05-10 03:17:56 transreid.train INFO: Epoch[91] Iter[5/24] Loss: 1.757, Acc: 0.726, Base Lr: 4.45e-04
2024-05-10 03:17:58 transreid.train INFO: Epoch[91] Iter[10/24] Loss: 1.506, Acc: 0.784, Base Lr: 4.45e-04
2024-05-10 03:18:00 transreid.train INFO: Epoch[91] Iter[15/24] Loss: 1.278, Acc: 0.834, Base Lr: 4.45e-04
2024-05-10 03:18:02 transreid.train INFO: Epoch[91] Iter[20/24] Loss: 1.090, Acc: 0.872, Base Lr: 4.45e-04
2024-05-10 03:18:03 transreid.train INFO: Epoch 91 done. Time per epoch: 10.076[s] Speed: 1067.1[samples/s]
2024-05-10 03:18:06 transreid.train INFO: Epoch[92] Iter[5/24] Loss: 1.707, Acc: 0.726, Base Lr: 4.17e-04
2024-05-10 03:18:08 transreid.train INFO: Epoch[92] Iter[10/24] Loss: 1.423, Acc: 0.797, Base Lr: 4.17e-04
2024-05-10 03:18:10 transreid.train INFO: Epoch[92] Iter[15/24] Loss: 1.252, Acc: 0.838, Base Lr: 4.17e-04
2024-05-10 03:18:12 transreid.train INFO: Epoch[92] Iter[20/24] Loss: 1.083, Acc: 0.872, Base Lr: 4.17e-04
2024-05-10 03:18:12 transreid.train INFO: Epoch 92 done. Time per epoch: 9.547[s] Speed: 1072.6[samples/s]
2024-05-10 03:18:16 transreid.train INFO: Epoch[93] Iter[5/24] Loss: 1.681, Acc: 0.747, Base Lr: 3.89e-04
2024-05-10 03:18:18 transreid.train INFO: Epoch[93] Iter[10/24] Loss: 1.441, Acc: 0.798, Base Lr: 3.89e-04
2024-05-10 03:18:20 transreid.train INFO: Epoch[93] Iter[15/24] Loss: 1.258, Acc: 0.838, Base Lr: 3.89e-04
2024-05-10 03:18:22 transreid.train INFO: Epoch[93] Iter[20/24] Loss: 1.081, Acc: 0.874, Base Lr: 3.89e-04
2024-05-10 03:18:22 transreid.train INFO: Epoch 93 done. Time per epoch: 10.054[s] Speed: 1069.4[samples/s]
2024-05-10 03:18:26 transreid.train INFO: Epoch[94] Iter[5/24] Loss: 1.643, Acc: 0.755, Base Lr: 3.62e-04
2024-05-10 03:18:28 transreid.train INFO: Epoch[94] Iter[10/24] Loss: 1.430, Acc: 0.804, Base Lr: 3.62e-04
2024-05-10 03:18:30 transreid.train INFO: Epoch[94] Iter[15/24] Loss: 1.240, Acc: 0.847, Base Lr: 3.62e-04
2024-05-10 03:18:32 transreid.train INFO: Epoch[94] Iter[20/24] Loss: 1.084, Acc: 0.876, Base Lr: 3.62e-04
2024-05-10 03:18:32 transreid.train INFO: Epoch 94 done. Time per epoch: 9.973[s] Speed: 1078.1[samples/s]
2024-05-10 03:18:36 transreid.train INFO: Epoch[95] Iter[5/24] Loss: 1.660, Acc: 0.760, Base Lr: 3.36e-04
2024-05-10 03:18:38 transreid.train INFO: Epoch[95] Iter[10/24] Loss: 1.445, Acc: 0.801, Base Lr: 3.36e-04
2024-05-10 03:18:40 transreid.train INFO: Epoch[95] Iter[15/24] Loss: 1.266, Acc: 0.839, Base Lr: 3.36e-04
2024-05-10 03:18:42 transreid.train INFO: Epoch[95] Iter[20/24] Loss: 1.079, Acc: 0.875, Base Lr: 3.36e-04
2024-05-10 03:18:42 transreid.train INFO: Epoch 95 done. Time per epoch: 9.933[s] Speed: 1082.5[samples/s]
2024-05-10 03:18:46 transreid.train INFO: Epoch[96] Iter[5/24] Loss: 1.659, Acc: 0.754, Base Lr: 3.11e-04
2024-05-10 03:18:48 transreid.train INFO: Epoch[96] Iter[10/24] Loss: 1.451, Acc: 0.793, Base Lr: 3.11e-04
2024-05-10 03:18:50 transreid.train INFO: Epoch[96] Iter[15/24] Loss: 1.228, Acc: 0.843, Base Lr: 3.11e-04
2024-05-10 03:18:52 transreid.train INFO: Epoch[96] Iter[20/24] Loss: 1.053, Acc: 0.877, Base Lr: 3.11e-04
2024-05-10 03:18:52 transreid.train INFO: Epoch 96 done. Time per epoch: 10.000[s] Speed: 1075.2[samples/s]
2024-05-10 03:18:56 transreid.train INFO: Epoch[97] Iter[5/24] Loss: 1.669, Acc: 0.756, Base Lr: 2.87e-04
2024-05-10 03:18:58 transreid.train INFO: Epoch[97] Iter[10/24] Loss: 1.442, Acc: 0.802, Base Lr: 2.87e-04
2024-05-10 03:19:00 transreid.train INFO: Epoch[97] Iter[15/24] Loss: 1.232, Acc: 0.842, Base Lr: 2.87e-04
2024-05-10 03:19:02 transreid.train INFO: Epoch[97] Iter[20/24] Loss: 1.051, Acc: 0.877, Base Lr: 2.87e-04
2024-05-10 03:19:02 transreid.train INFO: Epoch 97 done. Time per epoch: 9.966[s] Speed: 1078.9[samples/s]
2024-05-10 03:19:06 transreid.train INFO: Epoch[98] Iter[5/24] Loss: 1.700, Acc: 0.747, Base Lr: 2.64e-04
2024-05-10 03:19:08 transreid.train INFO: Epoch[98] Iter[10/24] Loss: 1.453, Acc: 0.801, Base Lr: 2.64e-04
2024-05-10 03:19:10 transreid.train INFO: Epoch[98] Iter[15/24] Loss: 1.246, Acc: 0.843, Base Lr: 2.64e-04
2024-05-10 03:19:11 transreid.train INFO: Epoch[98] Iter[20/24] Loss: 1.061, Acc: 0.879, Base Lr: 2.64e-04
2024-05-10 03:19:12 transreid.train INFO: Epoch 98 done. Time per epoch: 9.929[s] Speed: 1082.8[samples/s]
2024-05-10 03:19:16 transreid.train INFO: Epoch[99] Iter[5/24] Loss: 1.642, Acc: 0.747, Base Lr: 2.42e-04
2024-05-10 03:19:18 transreid.train INFO: Epoch[99] Iter[10/24] Loss: 1.438, Acc: 0.793, Base Lr: 2.42e-04
2024-05-10 03:19:20 transreid.train INFO: Epoch[99] Iter[15/24] Loss: 1.229, Acc: 0.841, Base Lr: 2.42e-04
2024-05-10 03:19:22 transreid.train INFO: Epoch[99] Iter[20/24] Loss: 1.056, Acc: 0.876, Base Lr: 2.42e-04
2024-05-10 03:19:22 transreid.train INFO: Epoch 99 done. Time per epoch: 10.234[s] Speed: 1050.6[samples/s]
2024-05-10 03:19:26 transreid.train INFO: Epoch[100] Iter[5/24] Loss: 1.668, Acc: 0.752, Base Lr: 2.20e-04
2024-05-10 03:19:28 transreid.train INFO: Epoch[100] Iter[10/24] Loss: 1.414, Acc: 0.807, Base Lr: 2.20e-04
2024-05-10 03:19:30 transreid.train INFO: Epoch[100] Iter[15/24] Loss: 1.234, Acc: 0.845, Base Lr: 2.20e-04
2024-05-10 03:19:32 transreid.train INFO: Epoch[100] Iter[20/24] Loss: 1.057, Acc: 0.878, Base Lr: 2.20e-04
2024-05-10 03:19:32 transreid.train INFO: Epoch 100 done. Time per epoch: 10.119[s] Speed: 1062.6[samples/s]
2024-05-10 03:19:47 transreid.train INFO: Validation Results - Epoch: 100
2024-05-10 03:19:47 transreid.train INFO: mAP: 91.4%
2024-05-10 03:19:47 transreid.train INFO: CMC curve, Rank-1  :96.3%
2024-05-10 03:19:47 transreid.train INFO: CMC curve, Rank-5  :98.6%
2024-05-10 03:19:47 transreid.train INFO: CMC curve, Rank-10 :99.0%
2024-05-10 03:19:51 transreid.train INFO: Epoch[101] Iter[5/24] Loss: 1.664, Acc: 0.750, Base Lr: 2.00e-04
2024-05-10 03:19:53 transreid.train INFO: Epoch[101] Iter[10/24] Loss: 1.399, Acc: 0.810, Base Lr: 2.00e-04
2024-05-10 03:19:55 transreid.train INFO: Epoch[101] Iter[15/24] Loss: 1.212, Acc: 0.847, Base Lr: 2.00e-04
2024-05-10 03:19:57 transreid.train INFO: Epoch[101] Iter[20/24] Loss: 1.042, Acc: 0.880, Base Lr: 2.00e-04
2024-05-10 03:19:58 transreid.train INFO: Epoch 101 done. Time per epoch: 10.314[s] Speed: 1042.4[samples/s]
2024-05-10 03:20:01 transreid.train INFO: Epoch[102] Iter[5/24] Loss: 1.528, Acc: 0.769, Base Lr: 1.80e-04
2024-05-10 03:20:03 transreid.train INFO: Epoch[102] Iter[10/24] Loss: 1.376, Acc: 0.809, Base Lr: 1.80e-04
2024-05-10 03:20:05 transreid.train INFO: Epoch[102] Iter[15/24] Loss: 1.203, Acc: 0.851, Base Lr: 1.80e-04
2024-05-10 03:20:07 transreid.train INFO: Epoch[102] Iter[20/24] Loss: 1.042, Acc: 0.879, Base Lr: 1.80e-04
2024-05-10 03:20:07 transreid.train INFO: Epoch 102 done. Time per epoch: 9.918[s] Speed: 1084.1[samples/s]
2024-05-10 03:20:11 transreid.train INFO: Epoch[103] Iter[5/24] Loss: 1.587, Acc: 0.761, Base Lr: 1.62e-04
2024-05-10 03:20:13 transreid.train INFO: Epoch[103] Iter[10/24] Loss: 1.410, Acc: 0.797, Base Lr: 1.62e-04
2024-05-10 03:20:15 transreid.train INFO: Epoch[103] Iter[15/24] Loss: 1.204, Acc: 0.844, Base Lr: 1.62e-04
2024-05-10 03:20:17 transreid.train INFO: Epoch[103] Iter[20/24] Loss: 1.026, Acc: 0.880, Base Lr: 1.62e-04
2024-05-10 03:20:17 transreid.train INFO: Epoch 103 done. Time per epoch: 9.674[s] Speed: 1058.5[samples/s]
2024-05-10 03:20:21 transreid.train INFO: Epoch[104] Iter[5/24] Loss: 1.632, Acc: 0.764, Base Lr: 1.44e-04
2024-05-10 03:20:23 transreid.train INFO: Epoch[104] Iter[10/24] Loss: 1.410, Acc: 0.807, Base Lr: 1.44e-04
2024-05-10 03:20:25 transreid.train INFO: Epoch[104] Iter[15/24] Loss: 1.209, Acc: 0.850, Base Lr: 1.44e-04
2024-05-10 03:20:27 transreid.train INFO: Epoch[104] Iter[20/24] Loss: 1.037, Acc: 0.881, Base Lr: 1.44e-04
2024-05-10 03:20:27 transreid.train INFO: Epoch 104 done. Time per epoch: 9.710[s] Speed: 1054.6[samples/s]
2024-05-10 03:20:30 transreid.train INFO: Epoch[105] Iter[5/24] Loss: 1.538, Acc: 0.779, Base Lr: 1.28e-04
2024-05-10 03:20:32 transreid.train INFO: Epoch[105] Iter[10/24] Loss: 1.389, Acc: 0.812, Base Lr: 1.28e-04
2024-05-10 03:20:34 transreid.train INFO: Epoch[105] Iter[15/24] Loss: 1.202, Acc: 0.850, Base Lr: 1.28e-04
2024-05-10 03:20:36 transreid.train INFO: Epoch[105] Iter[20/24] Loss: 1.038, Acc: 0.882, Base Lr: 1.28e-04
2024-05-10 03:20:37 transreid.train INFO: Epoch 105 done. Time per epoch: 9.968[s] Speed: 1078.7[samples/s]
2024-05-10 03:20:41 transreid.train INFO: Epoch[106] Iter[5/24] Loss: 1.651, Acc: 0.749, Base Lr: 1.12e-04
2024-05-10 03:20:42 transreid.train INFO: Epoch[106] Iter[10/24] Loss: 1.381, Acc: 0.811, Base Lr: 1.12e-04
2024-05-10 03:20:44 transreid.train INFO: Epoch[106] Iter[15/24] Loss: 1.186, Acc: 0.852, Base Lr: 1.12e-04
2024-05-10 03:20:46 transreid.train INFO: Epoch[106] Iter[20/24] Loss: 1.028, Acc: 0.881, Base Lr: 1.12e-04
2024-05-10 03:20:47 transreid.train INFO: Epoch 106 done. Time per epoch: 10.097[s] Speed: 1064.9[samples/s]
2024-05-10 03:20:51 transreid.train INFO: Epoch[107] Iter[5/24] Loss: 1.631, Acc: 0.764, Base Lr: 9.80e-05
2024-05-10 03:20:52 transreid.train INFO: Epoch[107] Iter[10/24] Loss: 1.403, Acc: 0.804, Base Lr: 9.80e-05
2024-05-10 03:20:54 transreid.train INFO: Epoch[107] Iter[15/24] Loss: 1.203, Acc: 0.846, Base Lr: 9.80e-05
2024-05-10 03:20:56 transreid.train INFO: Epoch[107] Iter[20/24] Loss: 1.017, Acc: 0.882, Base Lr: 9.80e-05
2024-05-10 03:20:57 transreid.train INFO: Epoch 107 done. Time per epoch: 9.952[s] Speed: 1080.4[samples/s]
2024-05-10 03:21:01 transreid.train INFO: Epoch[108] Iter[5/24] Loss: 1.624, Acc: 0.763, Base Lr: 8.46e-05
2024-05-10 03:21:02 transreid.train INFO: Epoch[108] Iter[10/24] Loss: 1.408, Acc: 0.812, Base Lr: 8.46e-05
2024-05-10 03:21:04 transreid.train INFO: Epoch[108] Iter[15/24] Loss: 1.196, Acc: 0.854, Base Lr: 8.46e-05
2024-05-10 03:21:06 transreid.train INFO: Epoch[108] Iter[20/24] Loss: 1.032, Acc: 0.882, Base Lr: 8.46e-05
2024-05-10 03:21:06 transreid.train INFO: Epoch 108 done. Time per epoch: 9.603[s] Speed: 1066.4[samples/s]
2024-05-10 03:21:10 transreid.train INFO: Epoch[109] Iter[5/24] Loss: 1.548, Acc: 0.770, Base Lr: 7.22e-05
2024-05-10 03:21:12 transreid.train INFO: Epoch[109] Iter[10/24] Loss: 1.403, Acc: 0.800, Base Lr: 7.22e-05
2024-05-10 03:21:14 transreid.train INFO: Epoch[109] Iter[15/24] Loss: 1.196, Acc: 0.847, Base Lr: 7.22e-05
2024-05-10 03:21:16 transreid.train INFO: Epoch[109] Iter[20/24] Loss: 1.021, Acc: 0.883, Base Lr: 7.22e-05
2024-05-10 03:21:16 transreid.train INFO: Epoch 109 done. Time per epoch: 9.895[s] Speed: 1086.7[samples/s]
2024-05-10 03:21:20 transreid.train INFO: Epoch[110] Iter[5/24] Loss: 1.680, Acc: 0.743, Base Lr: 6.08e-05
2024-05-10 03:21:22 transreid.train INFO: Epoch[110] Iter[10/24] Loss: 1.435, Acc: 0.800, Base Lr: 6.08e-05
2024-05-10 03:21:24 transreid.train INFO: Epoch[110] Iter[15/24] Loss: 1.190, Acc: 0.853, Base Lr: 6.08e-05
2024-05-10 03:21:26 transreid.train INFO: Epoch[110] Iter[20/24] Loss: 1.018, Acc: 0.884, Base Lr: 6.08e-05
2024-05-10 03:21:26 transreid.train INFO: Epoch 110 done. Time per epoch: 9.951[s] Speed: 1080.5[samples/s]
2024-05-10 03:21:41 transreid.train INFO: Validation Results - Epoch: 110
2024-05-10 03:21:41 transreid.train INFO: mAP: 91.4%
2024-05-10 03:21:41 transreid.train INFO: CMC curve, Rank-1  :96.3%
2024-05-10 03:21:41 transreid.train INFO: CMC curve, Rank-5  :98.6%
2024-05-10 03:21:41 transreid.train INFO: CMC curve, Rank-10 :99.1%
2024-05-10 03:21:45 transreid.train INFO: Epoch[111] Iter[5/24] Loss: 1.615, Acc: 0.753, Base Lr: 5.05e-05
2024-05-10 03:21:47 transreid.train INFO: Epoch[111] Iter[10/24] Loss: 1.391, Acc: 0.810, Base Lr: 5.05e-05
2024-05-10 03:21:49 transreid.train INFO: Epoch[111] Iter[15/24] Loss: 1.201, Acc: 0.850, Base Lr: 5.05e-05
2024-05-10 03:21:51 transreid.train INFO: Epoch[111] Iter[20/24] Loss: 1.020, Acc: 0.883, Base Lr: 5.05e-05
2024-05-10 03:21:51 transreid.train INFO: Epoch 111 done. Time per epoch: 10.052[s] Speed: 1069.6[samples/s]
2024-05-10 03:21:55 transreid.train INFO: Epoch[112] Iter[5/24] Loss: 1.609, Acc: 0.755, Base Lr: 4.13e-05
2024-05-10 03:21:57 transreid.train INFO: Epoch[112] Iter[10/24] Loss: 1.358, Acc: 0.812, Base Lr: 4.13e-05
2024-05-10 03:21:59 transreid.train INFO: Epoch[112] Iter[15/24] Loss: 1.177, Acc: 0.855, Base Lr: 4.13e-05
2024-05-10 03:22:01 transreid.train INFO: Epoch[112] Iter[20/24] Loss: 1.019, Acc: 0.884, Base Lr: 4.13e-05
2024-05-10 03:22:01 transreid.train INFO: Epoch 112 done. Time per epoch: 9.961[s] Speed: 1079.4[samples/s]
2024-05-10 03:22:05 transreid.train INFO: Epoch[113] Iter[5/24] Loss: 1.649, Acc: 0.751, Base Lr: 3.31e-05
2024-05-10 03:22:07 transreid.train INFO: Epoch[113] Iter[10/24] Loss: 1.386, Acc: 0.814, Base Lr: 3.31e-05
2024-05-10 03:22:09 transreid.train INFO: Epoch[113] Iter[15/24] Loss: 1.196, Acc: 0.851, Base Lr: 3.31e-05
2024-05-10 03:22:11 transreid.train INFO: Epoch[113] Iter[20/24] Loss: 1.027, Acc: 0.884, Base Lr: 3.31e-05
2024-05-10 03:22:11 transreid.train INFO: Epoch 113 done. Time per epoch: 10.041[s] Speed: 1070.8[samples/s]
2024-05-10 03:22:15 transreid.train INFO: Epoch[114] Iter[5/24] Loss: 1.554, Acc: 0.775, Base Lr: 2.61e-05
2024-05-10 03:22:17 transreid.train INFO: Epoch[114] Iter[10/24] Loss: 1.363, Acc: 0.812, Base Lr: 2.61e-05
2024-05-10 03:22:19 transreid.train INFO: Epoch[114] Iter[15/24] Loss: 1.180, Acc: 0.852, Base Lr: 2.61e-05
2024-05-10 03:22:21 transreid.train INFO: Epoch[114] Iter[20/24] Loss: 1.023, Acc: 0.884, Base Lr: 2.61e-05
2024-05-10 03:22:21 transreid.train INFO: Epoch 114 done. Time per epoch: 9.988[s] Speed: 1076.5[samples/s]
2024-05-10 03:22:25 transreid.train INFO: Epoch[115] Iter[5/24] Loss: 1.598, Acc: 0.770, Base Lr: 2.01e-05
2024-05-10 03:22:27 transreid.train INFO: Epoch[115] Iter[10/24] Loss: 1.365, Acc: 0.812, Base Lr: 2.01e-05
2024-05-10 03:22:29 transreid.train INFO: Epoch[115] Iter[15/24] Loss: 1.173, Acc: 0.855, Base Lr: 2.01e-05
2024-05-10 03:22:31 transreid.train INFO: Epoch[115] Iter[20/24] Loss: 1.009, Acc: 0.885, Base Lr: 2.01e-05
2024-05-10 03:22:31 transreid.train INFO: Epoch 115 done. Time per epoch: 9.969[s] Speed: 1078.6[samples/s]
2024-05-10 03:22:35 transreid.train INFO: Epoch[116] Iter[5/24] Loss: 1.602, Acc: 0.763, Base Lr: 1.51e-05
2024-05-10 03:22:37 transreid.train INFO: Epoch[116] Iter[10/24] Loss: 1.416, Acc: 0.804, Base Lr: 1.51e-05
2024-05-10 03:22:39 transreid.train INFO: Epoch[116] Iter[15/24] Loss: 1.207, Acc: 0.846, Base Lr: 1.51e-05
2024-05-10 03:22:41 transreid.train INFO: Epoch[116] Iter[20/24] Loss: 1.025, Acc: 0.881, Base Lr: 1.51e-05
2024-05-10 03:22:41 transreid.train INFO: Epoch 116 done. Time per epoch: 10.064[s] Speed: 1068.3[samples/s]
2024-05-10 03:22:45 transreid.train INFO: Epoch[117] Iter[5/24] Loss: 1.606, Acc: 0.762, Base Lr: 1.13e-05
2024-05-10 03:22:47 transreid.train INFO: Epoch[117] Iter[10/24] Loss: 1.409, Acc: 0.806, Base Lr: 1.13e-05
2024-05-10 03:22:49 transreid.train INFO: Epoch[117] Iter[15/24] Loss: 1.208, Acc: 0.849, Base Lr: 1.13e-05
2024-05-10 03:22:51 transreid.train INFO: Epoch[117] Iter[20/24] Loss: 1.030, Acc: 0.883, Base Lr: 1.13e-05
2024-05-10 03:22:51 transreid.train INFO: Epoch 117 done. Time per epoch: 9.962[s] Speed: 1079.3[samples/s]
2024-05-10 03:22:55 transreid.train INFO: Epoch[118] Iter[5/24] Loss: 1.587, Acc: 0.769, Base Lr: 8.59e-06
2024-05-10 03:22:57 transreid.train INFO: Epoch[118] Iter[10/24] Loss: 1.352, Acc: 0.820, Base Lr: 8.59e-06
2024-05-10 03:22:59 transreid.train INFO: Epoch[118] Iter[15/24] Loss: 1.157, Acc: 0.861, Base Lr: 8.59e-06
2024-05-10 03:23:01 transreid.train INFO: Epoch[118] Iter[20/24] Loss: 1.018, Acc: 0.885, Base Lr: 8.59e-06
2024-05-10 03:23:01 transreid.train INFO: Epoch 118 done. Time per epoch: 9.616[s] Speed: 1064.9[samples/s]
2024-05-10 03:23:04 transreid.train INFO: Epoch[119] Iter[5/24] Loss: 1.587, Acc: 0.755, Base Lr: 6.95e-06
2024-05-10 03:23:06 transreid.train INFO: Epoch[119] Iter[10/24] Loss: 1.363, Acc: 0.814, Base Lr: 6.95e-06
2024-05-10 03:23:08 transreid.train INFO: Epoch[119] Iter[15/24] Loss: 1.179, Acc: 0.855, Base Lr: 6.95e-06
2024-05-10 03:23:10 transreid.train INFO: Epoch[119] Iter[20/24] Loss: 1.023, Acc: 0.884, Base Lr: 6.95e-06
2024-05-10 03:23:11 transreid.train INFO: Epoch 119 done. Time per epoch: 10.026[s] Speed: 1072.4[samples/s]
2024-05-10 03:23:14 transreid.train INFO: Epoch[120] Iter[5/24] Loss: 1.654, Acc: 0.755, Base Lr: 6.40e-06
2024-05-10 03:23:16 transreid.train INFO: Epoch[120] Iter[10/24] Loss: 1.370, Acc: 0.812, Base Lr: 6.40e-06
2024-05-10 03:23:18 transreid.train INFO: Epoch[120] Iter[15/24] Loss: 1.179, Acc: 0.853, Base Lr: 6.40e-06
2024-05-10 03:23:20 transreid.train INFO: Epoch[120] Iter[20/24] Loss: 1.022, Acc: 0.884, Base Lr: 6.40e-06
2024-05-10 03:23:21 transreid.train INFO: Epoch 120 done. Time per epoch: 9.975[s] Speed: 1077.9[samples/s]
2024-05-10 03:23:36 transreid.train INFO: Validation Results - Epoch: 120
2024-05-10 03:23:36 transreid.train INFO: mAP: 91.4%
2024-05-10 03:23:36 transreid.train INFO: CMC curve, Rank-1  :96.3%
2024-05-10 03:23:36 transreid.train INFO: CMC curve, Rank-5  :98.7%
2024-05-10 03:23:36 transreid.train INFO: CMC curve, Rank-10 :99.1%
