2021-03-30 11:36:37,546 transreid INFO: Saving model in the path :../logs/duke_vit_transreid_stride_0330 2021-03-30 11:36:37,546 transreid INFO: Namespace(config_file='configs/DukeMTMC/vit_transreid_stride.yml', local_rank=0, opts=[]) 2021-03-30 11:36:37,546 transreid INFO: Loaded configuration file configs/DukeMTMC/vit_transreid_stride.yml 2021-03-30 11:36:37,546 transreid INFO: MODEL: PRETRAIN_CHOICE: 'imagenet' PRETRAIN_PATH: '/home/heshuting/.cache/torch/checkpoints/jx_vit_base_p16_224-80ecf9dd.pth' METRIC_LOSS_TYPE: 'triplet' IF_LABELSMOOTH: 'off' IF_WITH_CENTER: 'no' NAME: 'transformer' NO_MARGIN: True DEVICE_ID: ('4') TRANSFORMER_TYPE: 'vit_base_patch16_224_TransReID' STRIDE_SIZE: [12, 12] SIE_CAMERA: True SIE_COE: 3.0 JPM: True RE_ARRANGE: True INPUT: SIZE_TRAIN: [256, 128] SIZE_TEST: [256, 128] PROB: 0.5 # random horizontal flip RE_PROB: 0.5 # random erasing PADDING: 10 PIXEL_MEAN: [0.5, 0.5, 0.5] PIXEL_STD: [0.5, 0.5, 0.5] DATASETS: NAMES: ('dukemtmc') ROOT_DIR: ('../../data') DATALOADER: SAMPLER: 'softmax_triplet' NUM_INSTANCE: 4 NUM_WORKERS: 8 SOLVER: OPTIMIZER_NAME: 'SGD' MAX_EPOCHS: 120 BASE_LR: 0.008 IMS_PER_BATCH: 64 WARMUP_METHOD: 'linear' LARGE_FC_LR: False CHECKPOINT_PERIOD: 120 LOG_PERIOD: 50 EVAL_PERIOD: 120 WEIGHT_DECAY: 1e-4 WEIGHT_DECAY_BIAS: 1e-4 BIAS_LR_FACTOR: 2 TEST: EVAL: True IMS_PER_BATCH: 256 RE_RANKING: False WEIGHT: '../logs/duke_vit_transreid_stride_0330/transformer_120.pth' NECK_FEAT: 'before' FEAT_NORM: 'yes' OUTPUT_DIR: '../logs/duke_vit_transreid_stride_0330' 2021-03-30 11:36:37,547 transreid INFO: Running with config: DATALOADER: NUM_INSTANCE: 4 NUM_WORKERS: 8 SAMPLER: softmax_triplet DATASETS: NAMES: dukemtmc ROOT_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: 4 DEVIDE_LENGTH: 4 DIST_TRAIN: False DROP_OUT: 0.0 DROP_PATH: 0.1 ID_LOSS_TYPE: softmax ID_LOSS_WEIGHT: 1.0 IF_LABELSMOOTH: off IF_WITH_CENTER: no JPM: True LAST_STRIDE: 1 METRIC_LOSS_TYPE: triplet NAME: transformer NECK: bnneck NO_MARGIN: True PRETRAIN_CHOICE: imagenet PRETRAIN_PATH: /home/heshuting/.cache/torch/checkpoints/jx_vit_base_p16_224-80ecf9dd.pth RE_ARRANGE: True SHIFT_NUM: 5 SHUFFLE_GROUP: 2 SIE_CAMERA: True SIE_COE: 3.0 SIE_VIEW: False STRIDE_SIZE: [12, 12] TRANSFORMER_TYPE: vit_base_patch16_224_TransReID TRIPLET_LOSS_WEIGHT: 1.0 OUTPUT_DIR: ../logs/duke_vit_transreid_stride_0330 SOLVER: BASE_LR: 0.008 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: 120 GAMMA: 0.1 IMS_PER_BATCH: 64 LARGE_FC_LR: False LOG_PERIOD: 50 MARGIN: 0.3 MAX_EPOCHS: 120 MOMENTUM: 0.9 OPTIMIZER_NAME: SGD SEED: 1234 STEPS: (40, 70) WARMUP_EPOCHS: 5 WARMUP_FACTOR: 0.01 WARMUP_METHOD: linear 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: ../logs/duke_vit_transreid_stride_0330/transformer_120.pth 2021-03-30 11:36:42,740 transreid.train INFO: start training 2021-03-30 11:36:59,619 transreid.train INFO: Epoch[1] Iteration[50/241] Loss: 9.760, Acc: 0.030, Base Lr: 1.66e-03 2021-03-30 11:37:15,279 transreid.train INFO: Epoch[1] Iteration[100/241] Loss: 8.950, Acc: 0.069, Base Lr: 1.66e-03 2021-03-30 11:37:30,952 transreid.train INFO: Epoch[1] Iteration[150/241] Loss: 8.599, Acc: 0.104, Base Lr: 1.66e-03 2021-03-30 11:37:46,608 transreid.train INFO: Epoch[1] Iteration[200/241] Loss: 8.366, Acc: 0.150, Base Lr: 1.66e-03 2021-03-30 11:37:54,788 transreid.train INFO: Epoch 1 done. Time per batch: 0.318[s] Speed: 201.1[samples/s] 2021-03-30 11:38:11,008 transreid.train INFO: Epoch[2] Iteration[50/241] Loss: 7.385, Acc: 0.162, Base Lr: 3.25e-03 2021-03-30 11:38:26,671 transreid.train INFO: Epoch[2] Iteration[100/241] Loss: 7.250, Acc: 0.187, Base Lr: 3.25e-03 2021-03-30 11:38:42,352 transreid.train INFO: Epoch[2] Iteration[150/241] Loss: 7.122, Acc: 0.217, Base Lr: 3.25e-03 2021-03-30 11:38:58,075 transreid.train INFO: Epoch[2] Iteration[200/241] Loss: 6.960, Acc: 0.261, Base Lr: 3.25e-03 2021-03-30 11:39:06,262 transreid.train INFO: Epoch 2 done. Time per batch: 0.316[s] Speed: 202.4[samples/s] 2021-03-30 11:39:22,479 transreid.train INFO: Epoch[3] Iteration[50/241] Loss: 6.182, Acc: 0.216, Base Lr: 4.83e-03 2021-03-30 11:39:38,141 transreid.train INFO: Epoch[3] Iteration[100/241] Loss: 6.028, Acc: 0.256, Base Lr: 4.83e-03 2021-03-30 11:39:53,816 transreid.train INFO: Epoch[3] Iteration[150/241] Loss: 5.854, Acc: 0.306, Base Lr: 4.83e-03 2021-03-30 11:40:09,493 transreid.train INFO: Epoch[3] Iteration[200/241] Loss: 5.644, Acc: 0.362, Base Lr: 4.83e-03 2021-03-30 11:40:17,688 transreid.train INFO: Epoch 3 done. Time per batch: 0.316[s] Speed: 202.5[samples/s] 2021-03-30 11:40:33,934 transreid.train INFO: Epoch[4] Iteration[50/241] Loss: 5.008, Acc: 0.413, Base Lr: 6.42e-03 2021-03-30 11:40:49,602 transreid.train INFO: Epoch[4] Iteration[100/241] Loss: 4.810, Acc: 0.493, Base Lr: 6.42e-03 2021-03-30 11:41:05,284 transreid.train INFO: Epoch[4] Iteration[150/241] Loss: 4.655, Acc: 0.539, Base Lr: 6.42e-03 2021-03-30 11:41:20,968 transreid.train INFO: Epoch[4] Iteration[200/241] Loss: 4.417, Acc: 0.595, Base Lr: 6.42e-03 2021-03-30 11:41:29,811 transreid.train INFO: Epoch 4 done. Time per batch: 0.316[s] Speed: 202.3[samples/s] 2021-03-30 11:41:46,032 transreid.train INFO: Epoch[5] Iteration[50/241] Loss: 3.776, Acc: 0.677, Base Lr: 7.97e-03 2021-03-30 11:42:01,713 transreid.train INFO: Epoch[5] Iteration[100/241] Loss: 3.662, Acc: 0.711, Base Lr: 7.97e-03 2021-03-30 11:42:17,381 transreid.train INFO: Epoch[5] Iteration[150/241] Loss: 3.564, Acc: 0.742, Base Lr: 7.97e-03 2021-03-30 11:42:33,089 transreid.train INFO: Epoch[5] Iteration[200/241] Loss: 3.362, Acc: 0.773, Base Lr: 7.97e-03 2021-03-30 11:42:40,964 transreid.train INFO: Epoch 5 done. Time per batch: 0.316[s] Speed: 202.4[samples/s] 2021-03-30 11:42:57,216 transreid.train INFO: Epoch[6] Iteration[50/241] Loss: 2.948, Acc: 0.849, Base Lr: 7.95e-03 2021-03-30 11:43:12,899 transreid.train INFO: Epoch[6] Iteration[100/241] Loss: 2.861, Acc: 0.861, Base Lr: 7.95e-03 2021-03-30 11:43:28,602 transreid.train INFO: Epoch[6] Iteration[150/241] Loss: 2.742, Acc: 0.870, Base Lr: 7.95e-03 2021-03-30 11:43:44,314 transreid.train INFO: Epoch[6] Iteration[200/241] Loss: 2.593, Acc: 0.882, Base Lr: 7.95e-03 2021-03-30 11:43:52,213 transreid.train INFO: Epoch 6 done. Time per batch: 0.317[s] Speed: 202.1[samples/s] 2021-03-30 11:44:08,461 transreid.train INFO: Epoch[7] Iteration[50/241] Loss: 2.399, Acc: 0.892, Base Lr: 7.93e-03 2021-03-30 11:44:24,151 transreid.train INFO: Epoch[7] Iteration[100/241] Loss: 2.292, Acc: 0.905, Base Lr: 7.93e-03 2021-03-30 11:44:39,847 transreid.train INFO: Epoch[7] Iteration[150/241] Loss: 2.184, Acc: 0.914, Base Lr: 7.93e-03 2021-03-30 11:44:55,552 transreid.train INFO: Epoch[7] Iteration[200/241] Loss: 2.060, Acc: 0.919, Base Lr: 7.93e-03 2021-03-30 11:45:03,751 transreid.train INFO: Epoch 7 done. Time per batch: 0.317[s] Speed: 202.2[samples/s] 2021-03-30 11:45:19,968 transreid.train INFO: Epoch[8] Iteration[50/241] Loss: 1.916, Acc: 0.933, Base Lr: 7.91e-03 2021-03-30 11:45:35,657 transreid.train INFO: Epoch[8] Iteration[100/241] Loss: 1.868, Acc: 0.932, Base Lr: 7.91e-03 2021-03-30 11:45:51,354 transreid.train INFO: Epoch[8] Iteration[150/241] Loss: 1.791, Acc: 0.935, Base Lr: 7.91e-03 2021-03-30 11:46:07,062 transreid.train INFO: Epoch[8] Iteration[200/241] Loss: 1.674, Acc: 0.935, Base Lr: 7.91e-03 2021-03-30 11:46:14,958 transreid.train INFO: Epoch 8 done. 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Time per batch: 0.316[s] Speed: 202.2[samples/s] 2021-03-30 11:54:53,086 transreid.train INFO: Epoch[16] Iteration[50/241] Loss: 0.555, Acc: 0.978, Base Lr: 7.65e-03 2021-03-30 11:55:08,790 transreid.train INFO: Epoch[16] Iteration[100/241] Loss: 0.536, Acc: 0.979, Base Lr: 7.65e-03 2021-03-30 11:55:24,481 transreid.train INFO: Epoch[16] Iteration[150/241] Loss: 0.524, Acc: 0.980, Base Lr: 7.65e-03 2021-03-30 11:55:40,154 transreid.train INFO: Epoch[16] Iteration[200/241] Loss: 0.513, Acc: 0.979, Base Lr: 7.65e-03 2021-03-30 11:55:48,687 transreid.train INFO: Epoch 16 done. 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Time per batch: 0.316[s] Speed: 202.3[samples/s] 2021-03-30 11:57:16,461 transreid.train INFO: Epoch[18] Iteration[50/241] Loss: 0.465, Acc: 0.981, Base Lr: 7.56e-03 2021-03-30 11:57:32,194 transreid.train INFO: Epoch[18] Iteration[100/241] Loss: 0.449, Acc: 0.980, Base Lr: 7.56e-03 2021-03-30 11:57:47,874 transreid.train INFO: Epoch[18] Iteration[150/241] Loss: 0.441, Acc: 0.982, Base Lr: 7.56e-03 2021-03-30 11:58:03,562 transreid.train INFO: Epoch[18] Iteration[200/241] Loss: 0.431, Acc: 0.980, Base Lr: 7.56e-03 2021-03-30 11:58:11,795 transreid.train INFO: Epoch 18 done. Time per batch: 0.317[s] Speed: 201.9[samples/s] 2021-03-30 11:58:28,054 transreid.train INFO: Epoch[19] Iteration[50/241] Loss: 0.385, Acc: 0.984, Base Lr: 7.52e-03 2021-03-30 11:58:43,742 transreid.train INFO: Epoch[19] Iteration[100/241] Loss: 0.410, Acc: 0.983, Base Lr: 7.52e-03 2021-03-30 11:58:59,441 transreid.train INFO: Epoch[19] Iteration[150/241] Loss: 0.420, Acc: 0.982, Base Lr: 7.52e-03 2021-03-30 11:59:15,158 transreid.train INFO: Epoch[19] Iteration[200/241] Loss: 0.398, Acc: 0.982, Base Lr: 7.52e-03 2021-03-30 11:59:23,358 transreid.train INFO: Epoch 19 done. Time per batch: 0.317[s] Speed: 202.1[samples/s] 2021-03-30 11:59:39,558 transreid.train INFO: Epoch[20] Iteration[50/241] Loss: 0.397, Acc: 0.982, Base Lr: 7.47e-03 2021-03-30 11:59:55,239 transreid.train INFO: Epoch[20] Iteration[100/241] Loss: 0.400, Acc: 0.982, Base Lr: 7.47e-03 2021-03-30 12:00:10,944 transreid.train INFO: Epoch[20] Iteration[150/241] Loss: 0.381, Acc: 0.983, Base Lr: 7.47e-03 2021-03-30 12:00:26,636 transreid.train INFO: Epoch[20] Iteration[200/241] Loss: 0.360, Acc: 0.984, Base Lr: 7.47e-03 2021-03-30 12:00:34,527 transreid.train INFO: Epoch 20 done. Time per batch: 0.316[s] Speed: 202.3[samples/s] 2021-03-30 12:00:50,761 transreid.train INFO: Epoch[21] Iteration[50/241] Loss: 0.358, Acc: 0.987, Base Lr: 7.41e-03 2021-03-30 12:01:06,434 transreid.train INFO: Epoch[21] Iteration[100/241] Loss: 0.365, Acc: 0.987, Base Lr: 7.41e-03 2021-03-30 12:01:22,101 transreid.train INFO: Epoch[21] Iteration[150/241] Loss: 0.354, Acc: 0.986, Base Lr: 7.41e-03 2021-03-30 12:01:37,763 transreid.train INFO: Epoch[21] Iteration[200/241] Loss: 0.354, Acc: 0.985, Base Lr: 7.41e-03 2021-03-30 12:01:45,960 transreid.train INFO: Epoch 21 done. Time per batch: 0.316[s] Speed: 202.5[samples/s] 2021-03-30 12:02:02,265 transreid.train INFO: Epoch[22] Iteration[50/241] Loss: 0.369, Acc: 0.986, Base Lr: 7.36e-03 2021-03-30 12:02:17,962 transreid.train INFO: Epoch[22] Iteration[100/241] Loss: 0.356, Acc: 0.984, Base Lr: 7.36e-03 2021-03-30 12:02:33,650 transreid.train INFO: Epoch[22] Iteration[150/241] Loss: 0.345, Acc: 0.984, Base Lr: 7.36e-03 2021-03-30 12:02:49,326 transreid.train INFO: Epoch[22] Iteration[200/241] Loss: 0.329, Acc: 0.985, Base Lr: 7.36e-03 2021-03-30 12:02:57,206 transreid.train INFO: Epoch 22 done. Time per batch: 0.317[s] Speed: 202.1[samples/s] 2021-03-30 12:03:13,408 transreid.train INFO: Epoch[23] Iteration[50/241] Loss: 0.321, Acc: 0.985, Base Lr: 7.30e-03 2021-03-30 12:03:29,084 transreid.train INFO: Epoch[23] Iteration[100/241] Loss: 0.322, Acc: 0.984, Base Lr: 7.30e-03 2021-03-30 12:03:44,801 transreid.train INFO: Epoch[23] Iteration[150/241] Loss: 0.326, Acc: 0.985, Base Lr: 7.30e-03 2021-03-30 12:04:00,502 transreid.train INFO: Epoch[23] Iteration[200/241] Loss: 0.303, Acc: 0.986, Base Lr: 7.30e-03 2021-03-30 12:04:08,723 transreid.train INFO: Epoch 23 done. Time per batch: 0.316[s] Speed: 202.2[samples/s] 2021-03-30 12:04:24,971 transreid.train INFO: Epoch[24] Iteration[50/241] Loss: 0.336, Acc: 0.982, Base Lr: 7.24e-03 2021-03-30 12:04:40,674 transreid.train INFO: Epoch[24] Iteration[100/241] Loss: 0.315, Acc: 0.984, Base Lr: 7.24e-03 2021-03-30 12:04:56,382 transreid.train INFO: Epoch[24] Iteration[150/241] Loss: 0.310, Acc: 0.984, Base Lr: 7.24e-03 2021-03-30 12:05:12,093 transreid.train INFO: Epoch[24] Iteration[200/241] Loss: 0.295, Acc: 0.985, Base Lr: 7.24e-03 2021-03-30 12:05:20,311 transreid.train INFO: Epoch 24 done. 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Time per batch: 0.317[s] Speed: 201.7[samples/s] 2021-03-30 13:51:48,699 transreid.train INFO: Epoch[114] Iteration[50/241] Loss: 0.095, Acc: 0.996, Base Lr: 6.51e-05 2021-03-30 13:52:04,386 transreid.train INFO: Epoch[114] Iteration[100/241] Loss: 0.082, Acc: 0.997, Base Lr: 6.51e-05 2021-03-30 13:52:20,074 transreid.train INFO: Epoch[114] Iteration[150/241] Loss: 0.078, Acc: 0.996, Base Lr: 6.51e-05 2021-03-30 13:52:35,756 transreid.train INFO: Epoch[114] Iteration[200/241] Loss: 0.076, Acc: 0.997, Base Lr: 6.51e-05 2021-03-30 13:52:43,969 transreid.train INFO: Epoch 114 done. Time per batch: 0.316[s] Speed: 202.3[samples/s] 2021-03-30 13:53:00,264 transreid.train INFO: Epoch[115] Iteration[50/241] Loss: 0.080, Acc: 0.997, Base Lr: 5.02e-05 2021-03-30 13:53:15,967 transreid.train INFO: Epoch[115] Iteration[100/241] Loss: 0.081, Acc: 0.996, Base Lr: 5.02e-05 2021-03-30 13:53:31,685 transreid.train INFO: Epoch[115] Iteration[150/241] Loss: 0.080, Acc: 0.996, Base Lr: 5.02e-05 2021-03-30 13:53:47,410 transreid.train INFO: Epoch[115] Iteration[200/241] Loss: 0.079, Acc: 0.996, Base Lr: 5.02e-05 2021-03-30 13:53:55,992 transreid.train INFO: Epoch 115 done. Time per batch: 0.317[s] Speed: 201.7[samples/s] 2021-03-30 13:54:12,462 transreid.train INFO: Epoch[116] Iteration[50/241] Loss: 0.086, Acc: 0.996, Base Lr: 3.79e-05 2021-03-30 13:54:28,154 transreid.train INFO: Epoch[116] Iteration[100/241] Loss: 0.085, Acc: 0.996, Base Lr: 3.79e-05 2021-03-30 13:54:43,851 transreid.train INFO: Epoch[116] Iteration[150/241] Loss: 0.084, Acc: 0.996, Base Lr: 3.79e-05 2021-03-30 13:54:59,539 transreid.train INFO: Epoch[116] Iteration[200/241] Loss: 0.077, Acc: 0.996, Base Lr: 3.79e-05 2021-03-30 13:55:07,796 transreid.train INFO: Epoch 116 done. Time per batch: 0.318[s] Speed: 201.4[samples/s] 2021-03-30 13:55:24,168 transreid.train INFO: Epoch[117] Iteration[50/241] Loss: 0.078, Acc: 0.997, Base Lr: 2.83e-05 2021-03-30 13:55:39,898 transreid.train INFO: Epoch[117] Iteration[100/241] Loss: 0.080, Acc: 0.997, Base Lr: 2.83e-05 2021-03-30 13:55:55,598 transreid.train INFO: Epoch[117] Iteration[150/241] Loss: 0.080, Acc: 0.997, Base Lr: 2.83e-05 2021-03-30 13:56:11,291 transreid.train INFO: Epoch[117] Iteration[200/241] Loss: 0.077, Acc: 0.997, Base Lr: 2.83e-05 2021-03-30 13:56:19,493 transreid.train INFO: Epoch 117 done. Time per batch: 0.317[s] Speed: 201.7[samples/s] 2021-03-30 13:56:35,747 transreid.train INFO: Epoch[118] Iteration[50/241] Loss: 0.084, Acc: 0.997, Base Lr: 2.15e-05 2021-03-30 13:56:51,454 transreid.train INFO: Epoch[118] Iteration[100/241] Loss: 0.082, Acc: 0.997, Base Lr: 2.15e-05 2021-03-30 13:57:07,134 transreid.train INFO: Epoch[118] Iteration[150/241] Loss: 0.082, Acc: 0.997, Base Lr: 2.15e-05 2021-03-30 13:57:22,848 transreid.train INFO: Epoch[118] Iteration[200/241] Loss: 0.080, Acc: 0.996, Base Lr: 2.15e-05 2021-03-30 13:57:31,081 transreid.train INFO: Epoch 118 done. Time per batch: 0.317[s] Speed: 202.0[samples/s] 2021-03-30 13:57:47,346 transreid.train INFO: Epoch[119] Iteration[50/241] Loss: 0.086, Acc: 0.997, Base Lr: 1.74e-05 2021-03-30 13:58:03,081 transreid.train INFO: Epoch[119] Iteration[100/241] Loss: 0.092, Acc: 0.997, Base Lr: 1.74e-05 2021-03-30 13:58:18,788 transreid.train INFO: Epoch[119] Iteration[150/241] Loss: 0.089, Acc: 0.996, Base Lr: 1.74e-05 2021-03-30 13:58:34,500 transreid.train INFO: Epoch[119] Iteration[200/241] Loss: 0.085, Acc: 0.997, Base Lr: 1.74e-05 2021-03-30 13:58:42,415 transreid.train INFO: Epoch 119 done. Time per batch: 0.317[s] Speed: 201.9[samples/s] 2021-03-30 13:58:58,682 transreid.train INFO: Epoch[120] Iteration[50/241] Loss: 0.077, Acc: 0.996, Base Lr: 1.60e-05 2021-03-30 13:59:14,386 transreid.train INFO: Epoch[120] Iteration[100/241] Loss: 0.076, Acc: 0.996, Base Lr: 1.60e-05 2021-03-30 13:59:30,091 transreid.train INFO: Epoch[120] Iteration[150/241] Loss: 0.073, Acc: 0.997, Base Lr: 1.60e-05 2021-03-30 13:59:45,828 transreid.train INFO: Epoch[120] Iteration[200/241] Loss: 0.074, Acc: 0.997, Base Lr: 1.60e-05 2021-03-30 13:59:54,048 transreid.train INFO: Epoch 120 done. Time per batch: 0.317[s] Speed: 201.9[samples/s] 2021-03-30 14:01:16,629 transreid.train INFO: Validation Results - Epoch: 120 2021-03-30 14:01:16,629 transreid.train INFO: mAP: 82.2% 2021-03-30 14:01:16,629 transreid.train INFO: CMC curve, Rank-1 :90.7% 2021-03-30 14:01:16,629 transreid.train INFO: CMC curve, Rank-5 :96.0% 2021-03-30 14:01:16,629 transreid.train INFO: CMC curve, Rank-10 :97.0%