diff --git "a/msmt.vitb.lup.256x128.wopt.csk.4-8.ar.375.n8.e0260/train_log.txt" "b/msmt.vitb.lup.256x128.wopt.csk.4-8.ar.375.n8.e0260/train_log.txt" new file mode 100755--- /dev/null +++ "b/msmt.vitb.lup.256x128.wopt.csk.4-8.ar.375.n8.e0260/train_log.txt" @@ -0,0 +1,3087 @@ +2023-08-08 09:46:23 transreid INFO: Namespace(config_file='configs/msmt17/vit_small.yml', local_rank=0, opts=['DATASETS.ROOT_DIR', './data/', 'SOLVER.BASE_LR', '4e-4', 'MODEL.DEVICE_ID', '("3")', 'MODEL.PRETRAIN_PATH', './pretrained/vitb.lup.256x128.wopt.csk.4-8.ar.375.n8//checkpoint0260.pth', 'OUTPUT_DIR', 'logs/msmt.vits.lup.256x128.wopt.csk.4-8.ar.375.n8.e0260', 'MODEL.PRETRAIN_HW_RATIO', '2']) +2023-08-08 09:46:23 transreid INFO: Saving model in the path :logs/msmt.vits.lup.256x128.wopt.csk.4-8.ar.375.n8.e0260 +2023-08-08 09:46:23 transreid INFO: Loaded configuration file configs/msmt17/vit_small.yml +2023-08-08 09:46:23 transreid INFO: Running with config: +DATALOADER: + NUM_INSTANCE: 4 + NUM_WORKERS: 8 + REMOVE_TAIL: 0 + SAMPLER: softmax_triplet +DATASETS: + NAMES: msmt17 + ROOT_DIR: ./data/ + 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: 3 + DEVIDE_LENGTH: 4 + DIST_TRAIN: False + DROPOUT_RATE: 0.0 + DROP_OUT: 0.0 + DROP_PATH: 0.1 + FEAT_DIM: 512 + 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 + NAME: transformer + NECK: bnneck + NO_MARGIN: True + POOLING: None + PRETRAIN_CHOICE: imagenet + PRETRAIN_HW_RATIO: 2 + PRETRAIN_PATH: ./pretrained/vitb.lup.256x128.wopt.csk.4-8.ar.375.n8//checkpoint0260.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: vit_small_patch16_224_TransReID + TRIPLET_LOSS_WEIGHT: 1.0 +OUTPUT_DIR: logs/msmt.vits.lup.256x128.wopt.csk.4-8.ar.375.n8.e0260 +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: 120 + 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: 1234 + 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: +2023-08-08 09:46:23 transreid.check INFO: Dataset statistics: +2023-08-08 09:46:23 transreid.check INFO: ---------------------------------------- +2023-08-08 09:46:23 transreid.check INFO: subset | # ids | # images | # cameras +2023-08-08 09:46:23 transreid.check INFO: ---------------------------------------- +2023-08-08 09:46:23 transreid.check INFO: train | 1041 | 32621 | 15 +2023-08-08 09:46:23 transreid.check INFO: query | 3060 | 11659 | 15 +2023-08-08 09:46:23 transreid.check INFO: gallery | 3060 | 82161 | 15 +2023-08-08 09:46:23 transreid.check INFO: ---------------------------------------- +2023-08-08 09:46:32 transreid INFO: Namespace(config_file='configs/msmt17/vit_base.yml', local_rank=0, opts=['DATASETS.ROOT_DIR', './data/', 'SOLVER.BASE_LR', '4e-4', 'MODEL.DEVICE_ID', '("3")', 'MODEL.PRETRAIN_PATH', './pretrained/vitb.lup.256x128.wopt.csk.4-8.ar.375.n8//checkpoint0260.pth', 'OUTPUT_DIR', 'logs/msmt.vits.lup.256x128.wopt.csk.4-8.ar.375.n8.e0260', 'MODEL.PRETRAIN_HW_RATIO', '2']) +2023-08-08 09:46:32 transreid INFO: Saving model in the path :logs/msmt.vits.lup.256x128.wopt.csk.4-8.ar.375.n8.e0260 +2023-08-08 09:46:32 transreid INFO: Loaded configuration file configs/msmt17/vit_base.yml +2023-08-08 09:46:32 transreid INFO: Running with config: +DATALOADER: + NUM_INSTANCE: 4 + NUM_WORKERS: 8 + REMOVE_TAIL: 0 + SAMPLER: softmax_triplet +DATASETS: + NAMES: msmt17 + ROOT_DIR: ./data/ + 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: 3 + DEVIDE_LENGTH: 4 + DIST_TRAIN: False + DROPOUT_RATE: 0.0 + DROP_OUT: 0.0 + DROP_PATH: 0.1 + FEAT_DIM: 512 + 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 + NAME: transformer + NECK: bnneck + NO_MARGIN: True + POOLING: None + PRETRAIN_CHOICE: imagenet + PRETRAIN_HW_RATIO: 2 + PRETRAIN_PATH: ./pretrained/vitb.lup.256x128.wopt.csk.4-8.ar.375.n8//checkpoint0260.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: vit_base_patch16_224_TransReID + TRIPLET_LOSS_WEIGHT: 1.0 +OUTPUT_DIR: logs/msmt.vits.lup.256x128.wopt.csk.4-8.ar.375.n8.e0260 +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: 120 + 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: 1234 + 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: +2023-08-08 09:46:32 transreid.check INFO: Dataset statistics: +2023-08-08 09:46:32 transreid.check INFO: ---------------------------------------- +2023-08-08 09:46:32 transreid.check INFO: subset | # ids | # images | # cameras +2023-08-08 09:46:32 transreid.check INFO: ---------------------------------------- +2023-08-08 09:46:32 transreid.check INFO: train | 1041 | 32621 | 15 +2023-08-08 09:46:32 transreid.check INFO: query | 3060 | 11659 | 15 +2023-08-08 09:46:32 transreid.check INFO: gallery | 3060 | 82161 | 15 +2023-08-08 09:46:32 transreid.check INFO: ---------------------------------------- +2023-08-08 09:46:46 transreid INFO: ===========using cosine learning rate======= +2023-08-08 09:46:46 transreid.train INFO: start training +2023-08-08 09:46:51 transreid.train INFO: Epoch[1] Iter[20/486] Loss: 20.896, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:46:54 transreid.train INFO: Epoch[1] Iter[40/486] Loss: 19.792, Acc: 0.000, Base Lr: 2.38e-05 +2023-08-08 09:46:57 transreid.train INFO: Epoch[1] Iter[60/486] Loss: 18.971, Acc: 0.000, Base Lr: 2.38e-05 +2023-08-08 09:47:00 transreid.train INFO: Epoch[1] Iter[80/486] Loss: 18.178, Acc: 0.000, Base Lr: 2.38e-05 +2023-08-08 09:47:03 transreid.train INFO: Epoch[1] Iter[100/486] Loss: 17.499, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:06 transreid.train INFO: Epoch[1] Iter[120/486] Loss: 16.983, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:09 transreid.train INFO: Epoch[1] Iter[140/486] Loss: 16.454, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:13 transreid.train INFO: Epoch[1] Iter[160/486] Loss: 16.025, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:16 transreid.train INFO: Epoch[1] Iter[180/486] Loss: 15.624, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:19 transreid.train INFO: Epoch[1] Iter[200/486] Loss: 15.297, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:22 transreid.train INFO: Epoch[1] Iter[220/486] Loss: 14.969, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:25 transreid.train INFO: Epoch[1] Iter[240/486] Loss: 14.712, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:28 transreid.train INFO: Epoch[1] Iter[260/486] Loss: 14.470, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:31 transreid.train INFO: Epoch[1] Iter[280/486] Loss: 14.238, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:35 transreid.train INFO: Epoch[1] Iter[300/486] Loss: 14.012, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:38 transreid.train INFO: Epoch[1] Iter[320/486] Loss: 13.815, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:41 transreid.train INFO: Epoch[1] Iter[340/486] Loss: 13.632, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:44 transreid.train INFO: Epoch[1] Iter[360/486] Loss: 13.477, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:47 transreid.train INFO: Epoch[1] Iter[380/486] Loss: 13.339, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:50 transreid.train INFO: Epoch[1] Iter[400/486] Loss: 13.207, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:54 transreid.train INFO: Epoch[1] Iter[420/486] Loss: 13.104, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:47:57 transreid.train INFO: Epoch[1] Iter[440/486] Loss: 12.980, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:48:00 transreid.train INFO: Epoch[1] Iter[460/486] Loss: 12.880, Acc: 0.001, Base Lr: 2.38e-05 +2023-08-08 09:48:02 transreid.train INFO: Epoch 1 done. Time per epoch: 76.017[s] Speed: 399.1[samples/s] +2023-08-08 09:48:06 transreid.train INFO: Epoch[2] Iter[20/486] Loss: 9.802, Acc: 0.001, Base Lr: 4.36e-05 +2023-08-08 09:48:10 transreid.train INFO: Epoch[2] Iter[40/486] Loss: 9.733, Acc: 0.004, Base Lr: 4.36e-05 +2023-08-08 09:48:13 transreid.train INFO: Epoch[2] Iter[60/486] Loss: 9.629, Acc: 0.002, Base Lr: 4.36e-05 +2023-08-08 09:48:16 transreid.train INFO: Epoch[2] Iter[80/486] Loss: 9.547, Acc: 0.003, Base Lr: 4.36e-05 +2023-08-08 09:48:19 transreid.train INFO: Epoch[2] Iter[100/486] Loss: 9.407, Acc: 0.003, Base Lr: 4.36e-05 +2023-08-08 09:48:22 transreid.train INFO: Epoch[2] Iter[120/486] Loss: 9.324, Acc: 0.004, Base Lr: 4.36e-05 +2023-08-08 09:48:25 transreid.train INFO: Epoch[2] Iter[140/486] Loss: 9.239, Acc: 0.004, Base Lr: 4.36e-05 +2023-08-08 09:48:29 transreid.train INFO: Epoch[2] Iter[160/486] Loss: 9.208, Acc: 0.004, Base Lr: 4.36e-05 +2023-08-08 09:48:32 transreid.train INFO: Epoch[2] Iter[180/486] Loss: 9.146, Acc: 0.004, Base Lr: 4.36e-05 +2023-08-08 09:48:35 transreid.train INFO: Epoch[2] Iter[200/486] Loss: 9.111, Acc: 0.004, Base Lr: 4.36e-05 +2023-08-08 09:48:38 transreid.train INFO: Epoch[2] Iter[220/486] Loss: 9.063, Acc: 0.004, Base Lr: 4.36e-05 +2023-08-08 09:48:41 transreid.train INFO: Epoch[2] Iter[240/486] Loss: 8.999, Acc: 0.004, Base Lr: 4.36e-05 +2023-08-08 09:48:45 transreid.train INFO: Epoch[2] Iter[260/486] Loss: 8.943, Acc: 0.005, Base Lr: 4.36e-05 +2023-08-08 09:48:48 transreid.train INFO: Epoch[2] Iter[280/486] Loss: 8.898, Acc: 0.005, Base Lr: 4.36e-05 +2023-08-08 09:48:51 transreid.train INFO: Epoch[2] Iter[300/486] Loss: 8.863, Acc: 0.005, Base Lr: 4.36e-05 +2023-08-08 09:48:54 transreid.train INFO: Epoch[2] Iter[320/486] Loss: 8.827, Acc: 0.006, Base Lr: 4.36e-05 +2023-08-08 09:48:57 transreid.train INFO: Epoch[2] Iter[340/486] Loss: 8.801, Acc: 0.007, Base Lr: 4.36e-05 +2023-08-08 09:49:00 transreid.train INFO: Epoch[2] Iter[360/486] Loss: 8.771, Acc: 0.008, Base Lr: 4.36e-05 +2023-08-08 09:49:04 transreid.train INFO: Epoch[2] Iter[380/486] Loss: 8.749, Acc: 0.009, Base Lr: 4.36e-05 +2023-08-08 09:49:07 transreid.train INFO: Epoch[2] Iter[400/486] Loss: 8.720, Acc: 0.011, Base Lr: 4.36e-05 +2023-08-08 09:49:10 transreid.train INFO: Epoch[2] Iter[420/486] Loss: 8.696, Acc: 0.014, Base Lr: 4.36e-05 +2023-08-08 09:49:13 transreid.train INFO: Epoch[2] Iter[440/486] Loss: 8.686, Acc: 0.019, Base Lr: 4.36e-05 +2023-08-08 09:49:16 transreid.train INFO: Epoch[2] Iter[460/486] Loss: 8.660, Acc: 0.027, Base Lr: 4.36e-05 +2023-08-08 09:49:19 transreid.train INFO: Epoch 2 done. Time per epoch: 76.280[s] Speed: 396.9[samples/s] +2023-08-08 09:49:23 transreid.train INFO: Epoch[3] Iter[20/486] Loss: 7.793, Acc: 0.059, Base Lr: 6.34e-05 +2023-08-08 09:49:26 transreid.train INFO: Epoch[3] Iter[40/486] Loss: 7.877, Acc: 0.058, Base Lr: 6.34e-05 +2023-08-08 09:49:29 transreid.train INFO: Epoch[3] Iter[60/486] Loss: 7.876, Acc: 0.059, Base Lr: 6.34e-05 +2023-08-08 09:49:32 transreid.train INFO: Epoch[3] Iter[80/486] Loss: 7.845, Acc: 0.063, Base Lr: 6.34e-05 +2023-08-08 09:49:36 transreid.train INFO: Epoch[3] Iter[100/486] Loss: 7.833, Acc: 0.067, Base Lr: 6.34e-05 +2023-08-08 09:49:39 transreid.train INFO: Epoch[3] Iter[120/486] Loss: 7.823, Acc: 0.072, Base Lr: 6.34e-05 +2023-08-08 09:49:42 transreid.train INFO: Epoch[3] Iter[140/486] Loss: 7.803, Acc: 0.074, Base Lr: 6.34e-05 +2023-08-08 09:49:45 transreid.train INFO: Epoch[3] Iter[160/486] Loss: 7.797, Acc: 0.077, Base Lr: 6.34e-05 +2023-08-08 09:49:48 transreid.train INFO: Epoch[3] Iter[180/486] Loss: 7.795, Acc: 0.081, Base Lr: 6.34e-05 +2023-08-08 09:49:52 transreid.train INFO: Epoch[3] Iter[200/486] Loss: 7.773, Acc: 0.086, Base Lr: 6.34e-05 +2023-08-08 09:49:55 transreid.train INFO: Epoch[3] Iter[220/486] Loss: 7.771, Acc: 0.090, Base Lr: 6.34e-05 +2023-08-08 09:49:58 transreid.train INFO: Epoch[3] Iter[240/486] Loss: 7.783, Acc: 0.094, Base Lr: 6.34e-05 +2023-08-08 09:50:01 transreid.train INFO: Epoch[3] Iter[260/486] Loss: 7.786, Acc: 0.098, Base Lr: 6.34e-05 +2023-08-08 09:50:04 transreid.train INFO: Epoch[3] Iter[280/486] Loss: 7.782, Acc: 0.102, Base Lr: 6.34e-05 +2023-08-08 09:50:07 transreid.train INFO: Epoch[3] Iter[300/486] Loss: 7.779, Acc: 0.107, Base Lr: 6.34e-05 +2023-08-08 09:50:11 transreid.train INFO: Epoch[3] Iter[320/486] Loss: 7.769, Acc: 0.111, Base Lr: 6.34e-05 +2023-08-08 09:50:14 transreid.train INFO: Epoch[3] Iter[340/486] Loss: 7.766, Acc: 0.119, Base Lr: 6.34e-05 +2023-08-08 09:50:17 transreid.train INFO: Epoch[3] Iter[360/486] Loss: 7.756, Acc: 0.128, Base Lr: 6.34e-05 +2023-08-08 09:50:20 transreid.train INFO: Epoch[3] Iter[380/486] Loss: 7.753, Acc: 0.140, Base Lr: 6.34e-05 +2023-08-08 09:50:23 transreid.train INFO: Epoch[3] Iter[400/486] Loss: 7.753, Acc: 0.153, Base Lr: 6.34e-05 +2023-08-08 09:50:27 transreid.train INFO: Epoch[3] Iter[420/486] Loss: 7.744, Acc: 0.168, Base Lr: 6.34e-05 +2023-08-08 09:50:30 transreid.train INFO: Epoch[3] Iter[440/486] Loss: 7.737, Acc: 0.189, Base Lr: 6.34e-05 +2023-08-08 09:50:33 transreid.train INFO: Epoch[3] Iter[460/486] Loss: 7.726, Acc: 0.210, Base Lr: 6.34e-05 +2023-08-08 09:50:35 transreid.train INFO: Epoch 3 done. Time per epoch: 76.632[s] Speed: 395.0[samples/s] +2023-08-08 09:50:39 transreid.train INFO: Epoch[4] Iter[20/486] Loss: 7.551, Acc: 0.130, Base Lr: 8.32e-05 +2023-08-08 09:50:43 transreid.train INFO: Epoch[4] Iter[40/486] Loss: 7.529, Acc: 0.124, Base Lr: 8.32e-05 +2023-08-08 09:50:46 transreid.train INFO: Epoch[4] Iter[60/486] Loss: 7.518, Acc: 0.125, Base Lr: 8.32e-05 +2023-08-08 09:50:49 transreid.train INFO: Epoch[4] Iter[80/486] Loss: 7.504, Acc: 0.121, Base Lr: 8.32e-05 +2023-08-08 09:50:52 transreid.train INFO: Epoch[4] Iter[100/486] Loss: 7.487, Acc: 0.122, Base Lr: 8.32e-05 +2023-08-08 09:50:55 transreid.train INFO: Epoch[4] Iter[120/486] Loss: 7.497, Acc: 0.124, Base Lr: 8.32e-05 +2023-08-08 09:50:58 transreid.train INFO: Epoch[4] Iter[140/486] Loss: 7.495, Acc: 0.125, Base Lr: 8.32e-05 +2023-08-08 09:51:02 transreid.train INFO: Epoch[4] Iter[160/486] Loss: 7.497, Acc: 0.125, Base Lr: 8.32e-05 +2023-08-08 09:51:05 transreid.train INFO: Epoch[4] Iter[180/486] Loss: 7.486, Acc: 0.129, Base Lr: 8.32e-05 +2023-08-08 09:51:08 transreid.train INFO: Epoch[4] Iter[200/486] Loss: 7.476, Acc: 0.131, Base Lr: 8.32e-05 +2023-08-08 09:51:11 transreid.train INFO: Epoch[4] Iter[220/486] Loss: 7.455, Acc: 0.137, Base Lr: 8.32e-05 +2023-08-08 09:51:14 transreid.train INFO: Epoch[4] Iter[240/486] Loss: 7.450, Acc: 0.144, Base Lr: 8.32e-05 +2023-08-08 09:51:18 transreid.train INFO: Epoch[4] Iter[260/486] Loss: 7.441, Acc: 0.146, Base Lr: 8.32e-05 +2023-08-08 09:51:21 transreid.train INFO: Epoch[4] Iter[280/486] Loss: 7.439, Acc: 0.155, Base Lr: 8.32e-05 +2023-08-08 09:51:24 transreid.train INFO: Epoch[4] Iter[300/486] Loss: 7.438, Acc: 0.165, Base Lr: 8.32e-05 +2023-08-08 09:51:27 transreid.train INFO: Epoch[4] Iter[320/486] Loss: 7.435, Acc: 0.171, Base Lr: 8.32e-05 +2023-08-08 09:51:30 transreid.train INFO: Epoch[4] Iter[340/486] Loss: 7.435, Acc: 0.180, Base Lr: 8.32e-05 +2023-08-08 09:51:33 transreid.train INFO: Epoch[4] Iter[360/486] Loss: 7.427, Acc: 0.191, Base Lr: 8.32e-05 +2023-08-08 09:51:37 transreid.train INFO: Epoch[4] Iter[380/486] Loss: 7.422, Acc: 0.205, Base Lr: 8.32e-05 +2023-08-08 09:51:40 transreid.train INFO: Epoch[4] Iter[400/486] Loss: 7.419, Acc: 0.219, Base Lr: 8.32e-05 +2023-08-08 09:51:43 transreid.train INFO: Epoch[4] Iter[420/486] Loss: 7.416, Acc: 0.237, Base Lr: 8.32e-05 +2023-08-08 09:51:46 transreid.train INFO: Epoch[4] Iter[440/486] Loss: 7.409, Acc: 0.259, Base Lr: 8.32e-05 +2023-08-08 09:51:49 transreid.train INFO: Epoch[4] Iter[460/486] Loss: 7.399, Acc: 0.282, Base Lr: 8.32e-05 +2023-08-08 09:51:52 transreid.train INFO: Epoch 4 done. 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Time per epoch: 76.455[s] Speed: 395.9[samples/s] +2023-08-08 09:57:02 transreid.train INFO: Epoch[9] Iter[20/486] Loss: 6.440, Acc: 0.075, Base Lr: 1.82e-04 +2023-08-08 09:57:05 transreid.train INFO: Epoch[9] Iter[40/486] Loss: 6.411, Acc: 0.081, Base Lr: 1.82e-04 +2023-08-08 09:57:09 transreid.train INFO: Epoch[9] Iter[60/486] Loss: 6.394, Acc: 0.086, Base Lr: 1.82e-04 +2023-08-08 09:57:12 transreid.train INFO: Epoch[9] Iter[80/486] Loss: 6.368, Acc: 0.102, Base Lr: 1.82e-04 +2023-08-08 09:57:15 transreid.train INFO: Epoch[9] Iter[100/486] Loss: 6.341, Acc: 0.106, Base Lr: 1.82e-04 +2023-08-08 09:57:18 transreid.train INFO: Epoch[9] Iter[120/486] Loss: 6.322, Acc: 0.102, Base Lr: 1.82e-04 +2023-08-08 09:57:21 transreid.train INFO: Epoch[9] Iter[140/486] Loss: 6.299, Acc: 0.105, Base Lr: 1.82e-04 +2023-08-08 09:57:24 transreid.train INFO: Epoch[9] Iter[160/486] Loss: 6.286, Acc: 0.104, Base Lr: 1.82e-04 +2023-08-08 09:57:28 transreid.train INFO: Epoch[9] Iter[180/486] Loss: 6.268, Acc: 0.107, Base Lr: 1.82e-04 +2023-08-08 09:57:31 transreid.train INFO: Epoch[9] Iter[200/486] Loss: 6.251, Acc: 0.109, Base Lr: 1.82e-04 +2023-08-08 09:57:34 transreid.train INFO: Epoch[9] Iter[220/486] Loss: 6.228, Acc: 0.114, Base Lr: 1.82e-04 +2023-08-08 09:57:37 transreid.train INFO: Epoch[9] Iter[240/486] Loss: 6.212, Acc: 0.120, Base Lr: 1.82e-04 +2023-08-08 09:57:40 transreid.train INFO: Epoch[9] Iter[260/486] Loss: 6.190, Acc: 0.122, Base Lr: 1.82e-04 +2023-08-08 09:57:44 transreid.train INFO: Epoch[9] Iter[280/486] Loss: 6.168, Acc: 0.129, Base Lr: 1.82e-04 +2023-08-08 09:57:47 transreid.train INFO: Epoch[9] Iter[300/486] Loss: 6.151, Acc: 0.133, Base Lr: 1.82e-04 +2023-08-08 09:57:50 transreid.train INFO: Epoch[9] Iter[320/486] Loss: 6.127, Acc: 0.138, Base Lr: 1.82e-04 +2023-08-08 09:57:53 transreid.train INFO: Epoch[9] Iter[340/486] Loss: 6.095, Acc: 0.146, Base Lr: 1.82e-04 +2023-08-08 09:57:56 transreid.train INFO: Epoch[9] Iter[360/486] Loss: 6.058, Acc: 0.157, Base Lr: 1.82e-04 +2023-08-08 09:57:59 transreid.train INFO: Epoch[9] Iter[380/486] Loss: 6.024, Acc: 0.167, Base Lr: 1.82e-04 +2023-08-08 09:58:03 transreid.train INFO: Epoch[9] Iter[400/486] Loss: 5.976, Acc: 0.182, Base Lr: 1.82e-04 +2023-08-08 09:58:06 transreid.train INFO: Epoch[9] Iter[420/486] Loss: 5.922, Acc: 0.200, Base Lr: 1.82e-04 +2023-08-08 09:58:09 transreid.train INFO: Epoch[9] Iter[440/486] Loss: 5.862, Acc: 0.221, Base Lr: 1.82e-04 +2023-08-08 09:58:12 transreid.train INFO: Epoch[9] Iter[460/486] Loss: 5.789, Acc: 0.244, Base Lr: 1.82e-04 +2023-08-08 09:58:14 transreid.train INFO: Epoch 9 done. 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Time per epoch: 76.667[s] Speed: 395.7[samples/s] +2023-08-08 10:02:09 transreid.train INFO: Epoch[13] Iter[20/486] Loss: 5.056, Acc: 0.184, Base Lr: 2.61e-04 +2023-08-08 10:02:12 transreid.train INFO: Epoch[13] Iter[40/486] Loss: 5.076, Acc: 0.178, Base Lr: 2.61e-04 +2023-08-08 10:02:15 transreid.train INFO: Epoch[13] Iter[60/486] Loss: 5.096, Acc: 0.177, Base Lr: 2.61e-04 +2023-08-08 10:02:18 transreid.train INFO: Epoch[13] Iter[80/486] Loss: 5.127, Acc: 0.162, Base Lr: 2.61e-04 +2023-08-08 10:02:22 transreid.train INFO: Epoch[13] Iter[100/486] Loss: 5.113, Acc: 0.168, Base Lr: 2.61e-04 +2023-08-08 10:02:25 transreid.train INFO: Epoch[13] Iter[120/486] Loss: 5.070, Acc: 0.173, Base Lr: 2.61e-04 +2023-08-08 10:02:28 transreid.train INFO: Epoch[13] Iter[140/486] Loss: 5.045, Acc: 0.178, Base Lr: 2.61e-04 +2023-08-08 10:02:31 transreid.train INFO: Epoch[13] Iter[160/486] Loss: 5.003, Acc: 0.188, Base Lr: 2.61e-04 +2023-08-08 10:02:34 transreid.train INFO: Epoch[13] Iter[180/486] Loss: 4.972, Acc: 0.192, Base Lr: 2.61e-04 +2023-08-08 10:02:37 transreid.train INFO: Epoch[13] Iter[200/486] Loss: 4.923, Acc: 0.201, Base Lr: 2.61e-04 +2023-08-08 10:02:41 transreid.train INFO: Epoch[13] Iter[220/486] Loss: 4.890, Acc: 0.209, Base Lr: 2.61e-04 +2023-08-08 10:02:44 transreid.train INFO: Epoch[13] Iter[240/486] Loss: 4.855, Acc: 0.216, Base Lr: 2.61e-04 +2023-08-08 10:02:47 transreid.train INFO: Epoch[13] Iter[260/486] Loss: 4.826, Acc: 0.222, Base Lr: 2.61e-04 +2023-08-08 10:02:50 transreid.train INFO: Epoch[13] Iter[280/486] Loss: 4.784, Acc: 0.231, Base Lr: 2.61e-04 +2023-08-08 10:02:53 transreid.train INFO: Epoch[13] Iter[300/486] Loss: 4.745, Acc: 0.238, Base Lr: 2.61e-04 +2023-08-08 10:02:56 transreid.train INFO: Epoch[13] Iter[320/486] Loss: 4.705, Acc: 0.246, Base Lr: 2.61e-04 +2023-08-08 10:03:00 transreid.train INFO: Epoch[13] Iter[340/486] Loss: 4.657, Acc: 0.258, Base Lr: 2.61e-04 +2023-08-08 10:03:03 transreid.train INFO: Epoch[13] Iter[360/486] Loss: 4.602, Acc: 0.271, Base Lr: 2.61e-04 +2023-08-08 10:03:06 transreid.train INFO: Epoch[13] Iter[380/486] Loss: 4.538, Acc: 0.288, Base Lr: 2.61e-04 +2023-08-08 10:03:09 transreid.train INFO: Epoch[13] Iter[400/486] Loss: 4.465, Acc: 0.307, Base Lr: 2.61e-04 +2023-08-08 10:03:12 transreid.train INFO: Epoch[13] Iter[420/486] Loss: 4.387, Acc: 0.326, Base Lr: 2.61e-04 +2023-08-08 10:03:16 transreid.train INFO: Epoch[13] Iter[440/486] Loss: 4.294, Acc: 0.348, Base Lr: 2.61e-04 +2023-08-08 10:03:19 transreid.train INFO: Epoch[13] Iter[460/486] Loss: 4.194, Acc: 0.372, Base Lr: 2.61e-04 +2023-08-08 10:03:21 transreid.train INFO: Epoch 13 done. 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Time per epoch: 77.021[s] Speed: 394.7[samples/s] +2023-08-08 10:23:50 transreid.train INFO: Epoch[30] Iter[20/486] Loss: 1.351, Acc: 0.819, Base Lr: 3.42e-04 +2023-08-08 10:23:53 transreid.train INFO: Epoch[30] Iter[40/486] Loss: 1.246, Acc: 0.852, Base Lr: 3.42e-04 +2023-08-08 10:23:56 transreid.train INFO: Epoch[30] Iter[60/486] Loss: 1.203, Acc: 0.860, Base Lr: 3.42e-04 +2023-08-08 10:23:59 transreid.train INFO: Epoch[30] Iter[80/486] Loss: 1.185, Acc: 0.863, Base Lr: 3.42e-04 +2023-08-08 10:24:02 transreid.train INFO: Epoch[30] Iter[100/486] Loss: 1.183, Acc: 0.865, Base Lr: 3.42e-04 +2023-08-08 10:24:06 transreid.train INFO: Epoch[30] Iter[120/486] Loss: 1.146, Acc: 0.872, Base Lr: 3.42e-04 +2023-08-08 10:24:09 transreid.train INFO: Epoch[30] Iter[140/486] Loss: 1.120, Acc: 0.879, Base Lr: 3.42e-04 +2023-08-08 10:24:12 transreid.train INFO: Epoch[30] Iter[160/486] Loss: 1.101, Acc: 0.882, Base Lr: 3.42e-04 +2023-08-08 10:24:15 transreid.train INFO: Epoch[30] Iter[180/486] Loss: 1.081, Acc: 0.886, Base Lr: 3.42e-04 +2023-08-08 10:24:18 transreid.train INFO: Epoch[30] Iter[200/486] Loss: 1.052, Acc: 0.891, Base Lr: 3.42e-04 +2023-08-08 10:24:21 transreid.train INFO: Epoch[30] Iter[220/486] Loss: 1.029, Acc: 0.896, Base Lr: 3.42e-04 +2023-08-08 10:24:25 transreid.train INFO: Epoch[30] Iter[240/486] Loss: 1.018, Acc: 0.899, Base Lr: 3.42e-04 +2023-08-08 10:24:28 transreid.train INFO: Epoch[30] Iter[260/486] Loss: 0.991, Acc: 0.903, Base Lr: 3.42e-04 +2023-08-08 10:24:31 transreid.train INFO: Epoch[30] Iter[280/486] Loss: 0.969, Acc: 0.907, Base Lr: 3.42e-04 +2023-08-08 10:24:34 transreid.train INFO: Epoch[30] Iter[300/486] Loss: 0.947, Acc: 0.912, Base Lr: 3.42e-04 +2023-08-08 10:24:37 transreid.train INFO: Epoch[30] Iter[320/486] Loss: 0.929, Acc: 0.915, Base Lr: 3.42e-04 +2023-08-08 10:24:41 transreid.train INFO: Epoch[30] Iter[340/486] Loss: 0.907, Acc: 0.918, Base Lr: 3.42e-04 +2023-08-08 10:24:44 transreid.train INFO: Epoch[30] Iter[360/486] Loss: 0.882, Acc: 0.922, Base Lr: 3.42e-04 +2023-08-08 10:24:47 transreid.train INFO: Epoch[30] Iter[380/486] Loss: 0.858, Acc: 0.925, Base Lr: 3.42e-04 +2023-08-08 10:24:50 transreid.train INFO: Epoch[30] Iter[400/486] Loss: 0.839, Acc: 0.927, Base Lr: 3.42e-04 +2023-08-08 10:24:53 transreid.train INFO: Epoch[30] Iter[420/486] Loss: 0.819, Acc: 0.930, Base Lr: 3.42e-04 +2023-08-08 10:24:57 transreid.train INFO: Epoch[30] Iter[440/486] Loss: 0.800, Acc: 0.932, Base Lr: 3.42e-04 +2023-08-08 10:25:00 transreid.train INFO: Epoch[30] Iter[460/486] Loss: 0.777, Acc: 0.935, Base Lr: 3.42e-04 +2023-08-08 10:25:02 transreid.train INFO: Epoch 30 done. 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Time per epoch: 76.940[s] Speed: 395.1[samples/s] +2023-08-08 10:26:23 transreid.train INFO: Epoch[32] Iter[20/486] Loss: 1.203, Acc: 0.844, Base Lr: 3.34e-04 +2023-08-08 10:26:26 transreid.train INFO: Epoch[32] Iter[40/486] Loss: 1.129, Acc: 0.856, Base Lr: 3.34e-04 +2023-08-08 10:26:30 transreid.train INFO: Epoch[32] Iter[60/486] Loss: 1.086, Acc: 0.870, Base Lr: 3.34e-04 +2023-08-08 10:26:33 transreid.train INFO: Epoch[32] Iter[80/486] Loss: 1.046, Acc: 0.878, Base Lr: 3.34e-04 +2023-08-08 10:26:36 transreid.train INFO: Epoch[32] Iter[100/486] Loss: 1.023, Acc: 0.887, Base Lr: 3.34e-04 +2023-08-08 10:26:39 transreid.train INFO: Epoch[32] Iter[120/486] Loss: 0.997, Acc: 0.892, Base Lr: 3.34e-04 +2023-08-08 10:26:42 transreid.train INFO: Epoch[32] Iter[140/486] Loss: 0.976, Acc: 0.898, Base Lr: 3.34e-04 +2023-08-08 10:26:46 transreid.train INFO: Epoch[32] Iter[160/486] Loss: 0.945, Acc: 0.904, Base Lr: 3.34e-04 +2023-08-08 10:26:49 transreid.train INFO: Epoch[32] Iter[180/486] Loss: 0.917, Acc: 0.911, Base Lr: 3.34e-04 +2023-08-08 10:26:52 transreid.train INFO: Epoch[32] Iter[200/486] Loss: 0.893, Acc: 0.915, Base Lr: 3.34e-04 +2023-08-08 10:26:55 transreid.train INFO: Epoch[32] Iter[220/486] Loss: 0.875, Acc: 0.917, Base Lr: 3.34e-04 +2023-08-08 10:26:58 transreid.train INFO: Epoch[32] Iter[240/486] Loss: 0.852, Acc: 0.920, Base Lr: 3.34e-04 +2023-08-08 10:27:02 transreid.train INFO: Epoch[32] Iter[260/486] Loss: 0.832, Acc: 0.923, Base Lr: 3.34e-04 +2023-08-08 10:27:05 transreid.train INFO: Epoch[32] Iter[280/486] Loss: 0.814, Acc: 0.926, Base Lr: 3.34e-04 +2023-08-08 10:27:08 transreid.train INFO: Epoch[32] Iter[300/486] Loss: 0.794, Acc: 0.929, Base Lr: 3.34e-04 +2023-08-08 10:27:11 transreid.train INFO: Epoch[32] Iter[320/486] Loss: 0.777, Acc: 0.932, Base Lr: 3.34e-04 +2023-08-08 10:27:15 transreid.train INFO: Epoch[32] Iter[340/486] Loss: 0.759, Acc: 0.935, Base Lr: 3.34e-04 +2023-08-08 10:27:18 transreid.train INFO: Epoch[32] Iter[360/486] Loss: 0.740, Acc: 0.938, Base Lr: 3.34e-04 +2023-08-08 10:27:21 transreid.train INFO: Epoch[32] Iter[380/486] Loss: 0.724, Acc: 0.940, Base Lr: 3.34e-04 +2023-08-08 10:27:24 transreid.train INFO: Epoch[32] Iter[400/486] Loss: 0.707, Acc: 0.942, Base Lr: 3.34e-04 +2023-08-08 10:27:27 transreid.train INFO: Epoch[32] Iter[420/486] Loss: 0.691, Acc: 0.944, Base Lr: 3.34e-04 +2023-08-08 10:27:31 transreid.train INFO: Epoch[32] Iter[440/486] Loss: 0.674, Acc: 0.946, Base Lr: 3.34e-04 +2023-08-08 10:27:34 transreid.train INFO: Epoch[32] Iter[460/486] Loss: 0.658, Acc: 0.947, Base Lr: 3.34e-04 +2023-08-08 10:27:36 transreid.train INFO: Epoch 32 done. Time per epoch: 77.265[s] Speed: 393.5[samples/s] +2023-08-08 10:27:40 transreid.train INFO: Epoch[33] Iter[20/486] Loss: 1.161, Acc: 0.861, Base Lr: 3.30e-04 +2023-08-08 10:27:44 transreid.train INFO: Epoch[33] Iter[40/486] Loss: 1.076, Acc: 0.886, Base Lr: 3.30e-04 +2023-08-08 10:27:47 transreid.train INFO: Epoch[33] Iter[60/486] Loss: 1.031, Acc: 0.891, Base Lr: 3.30e-04 +2023-08-08 10:27:50 transreid.train INFO: Epoch[33] Iter[80/486] Loss: 1.010, Acc: 0.894, Base Lr: 3.30e-04 +2023-08-08 10:27:53 transreid.train INFO: Epoch[33] Iter[100/486] Loss: 0.972, Acc: 0.902, Base Lr: 3.30e-04 +2023-08-08 10:27:56 transreid.train INFO: Epoch[33] Iter[120/486] Loss: 0.944, Acc: 0.908, Base Lr: 3.30e-04 +2023-08-08 10:28:00 transreid.train INFO: Epoch[33] Iter[140/486] Loss: 0.909, Acc: 0.914, Base Lr: 3.30e-04 +2023-08-08 10:28:03 transreid.train INFO: Epoch[33] Iter[160/486] Loss: 0.881, Acc: 0.919, Base Lr: 3.30e-04 +2023-08-08 10:28:06 transreid.train INFO: Epoch[33] Iter[180/486] Loss: 0.870, Acc: 0.922, Base Lr: 3.30e-04 +2023-08-08 10:28:09 transreid.train INFO: Epoch[33] Iter[200/486] Loss: 0.838, Acc: 0.925, Base Lr: 3.30e-04 +2023-08-08 10:28:12 transreid.train INFO: Epoch[33] Iter[220/486] Loss: 0.824, Acc: 0.928, Base Lr: 3.30e-04 +2023-08-08 10:28:15 transreid.train INFO: Epoch[33] Iter[240/486] Loss: 0.805, Acc: 0.931, Base Lr: 3.30e-04 +2023-08-08 10:28:19 transreid.train INFO: Epoch[33] Iter[260/486] Loss: 0.782, Acc: 0.934, Base Lr: 3.30e-04 +2023-08-08 10:28:22 transreid.train INFO: Epoch[33] Iter[280/486] Loss: 0.762, Acc: 0.936, Base Lr: 3.30e-04 +2023-08-08 10:28:25 transreid.train INFO: Epoch[33] Iter[300/486] Loss: 0.745, Acc: 0.939, Base Lr: 3.30e-04 +2023-08-08 10:28:28 transreid.train INFO: Epoch[33] Iter[320/486] Loss: 0.727, Acc: 0.941, Base Lr: 3.30e-04 +2023-08-08 10:28:31 transreid.train INFO: Epoch[33] Iter[340/486] Loss: 0.713, Acc: 0.943, Base Lr: 3.30e-04 +2023-08-08 10:28:35 transreid.train INFO: Epoch[33] Iter[360/486] Loss: 0.693, Acc: 0.946, Base Lr: 3.30e-04 +2023-08-08 10:28:38 transreid.train INFO: Epoch[33] Iter[380/486] Loss: 0.676, Acc: 0.948, Base Lr: 3.30e-04 +2023-08-08 10:28:41 transreid.train INFO: Epoch[33] Iter[400/486] Loss: 0.660, Acc: 0.950, Base Lr: 3.30e-04 +2023-08-08 10:28:44 transreid.train INFO: Epoch[33] Iter[420/486] Loss: 0.645, Acc: 0.951, Base Lr: 3.30e-04 +2023-08-08 10:28:47 transreid.train INFO: Epoch[33] Iter[440/486] Loss: 0.629, Acc: 0.953, Base Lr: 3.30e-04 +2023-08-08 10:28:50 transreid.train INFO: Epoch[33] Iter[460/486] Loss: 0.616, Acc: 0.954, Base Lr: 3.30e-04 +2023-08-08 10:28:53 transreid.train INFO: Epoch 33 done. Time per epoch: 76.284[s] Speed: 396.0[samples/s] +2023-08-08 10:28:57 transreid.train INFO: Epoch[34] Iter[20/486] Loss: 0.928, Acc: 0.888, Base Lr: 3.26e-04 +2023-08-08 10:29:00 transreid.train INFO: Epoch[34] Iter[40/486] Loss: 0.887, Acc: 0.900, Base Lr: 3.26e-04 +2023-08-08 10:29:03 transreid.train INFO: Epoch[34] Iter[60/486] Loss: 0.881, Acc: 0.901, Base Lr: 3.26e-04 +2023-08-08 10:29:06 transreid.train INFO: Epoch[34] Iter[80/486] Loss: 0.861, Acc: 0.906, Base Lr: 3.26e-04 +2023-08-08 10:29:09 transreid.train INFO: Epoch[34] Iter[100/486] Loss: 0.846, Acc: 0.909, Base Lr: 3.26e-04 +2023-08-08 10:29:13 transreid.train INFO: Epoch[34] Iter[120/486] Loss: 0.824, Acc: 0.917, Base Lr: 3.26e-04 +2023-08-08 10:29:16 transreid.train INFO: Epoch[34] Iter[140/486] Loss: 0.816, Acc: 0.920, Base Lr: 3.26e-04 +2023-08-08 10:29:19 transreid.train INFO: Epoch[34] Iter[160/486] Loss: 0.801, Acc: 0.923, Base Lr: 3.26e-04 +2023-08-08 10:29:22 transreid.train INFO: Epoch[34] Iter[180/486] Loss: 0.787, Acc: 0.926, Base Lr: 3.26e-04 +2023-08-08 10:29:25 transreid.train INFO: Epoch[34] Iter[200/486] Loss: 0.771, Acc: 0.928, Base Lr: 3.26e-04 +2023-08-08 10:29:28 transreid.train INFO: Epoch[34] Iter[220/486] Loss: 0.749, Acc: 0.932, Base Lr: 3.26e-04 +2023-08-08 10:29:32 transreid.train INFO: Epoch[34] Iter[240/486] Loss: 0.723, Acc: 0.936, Base Lr: 3.26e-04 +2023-08-08 10:29:35 transreid.train INFO: Epoch[34] Iter[260/486] Loss: 0.708, Acc: 0.938, Base Lr: 3.26e-04 +2023-08-08 10:29:38 transreid.train INFO: Epoch[34] Iter[280/486] Loss: 0.691, Acc: 0.941, Base Lr: 3.26e-04 +2023-08-08 10:29:41 transreid.train INFO: Epoch[34] Iter[300/486] Loss: 0.678, Acc: 0.943, Base Lr: 3.26e-04 +2023-08-08 10:29:45 transreid.train INFO: Epoch[34] Iter[320/486] Loss: 0.664, Acc: 0.945, Base Lr: 3.26e-04 +2023-08-08 10:29:48 transreid.train INFO: Epoch[34] Iter[340/486] Loss: 0.650, Acc: 0.947, Base Lr: 3.26e-04 +2023-08-08 10:29:51 transreid.train INFO: Epoch[34] Iter[360/486] Loss: 0.636, Acc: 0.949, Base Lr: 3.26e-04 +2023-08-08 10:29:54 transreid.train INFO: Epoch[34] Iter[380/486] Loss: 0.619, Acc: 0.951, Base Lr: 3.26e-04 +2023-08-08 10:29:58 transreid.train INFO: Epoch[34] Iter[400/486] Loss: 0.603, Acc: 0.953, Base Lr: 3.26e-04 +2023-08-08 10:30:01 transreid.train INFO: Epoch[34] Iter[420/486] Loss: 0.587, Acc: 0.955, Base Lr: 3.26e-04 +2023-08-08 10:30:04 transreid.train INFO: Epoch[34] Iter[440/486] Loss: 0.573, Acc: 0.956, Base Lr: 3.26e-04 +2023-08-08 10:30:07 transreid.train INFO: Epoch[34] Iter[460/486] Loss: 0.560, Acc: 0.957, Base Lr: 3.26e-04 +2023-08-08 10:30:10 transreid.train INFO: Epoch 34 done. 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Time per epoch: 77.317[s] Speed: 392.4[samples/s] +2023-08-08 10:43:02 transreid.train INFO: Epoch[45] Iter[20/486] Loss: 0.504, Acc: 0.965, Base Lr: 2.77e-04 +2023-08-08 10:43:05 transreid.train INFO: Epoch[45] Iter[40/486] Loss: 0.526, Acc: 0.957, Base Lr: 2.77e-04 +2023-08-08 10:43:08 transreid.train INFO: Epoch[45] Iter[60/486] Loss: 0.511, Acc: 0.958, Base Lr: 2.77e-04 +2023-08-08 10:43:11 transreid.train INFO: Epoch[45] Iter[80/486] Loss: 0.485, Acc: 0.961, Base Lr: 2.77e-04 +2023-08-08 10:43:14 transreid.train INFO: Epoch[45] Iter[100/486] Loss: 0.457, Acc: 0.966, Base Lr: 2.77e-04 +2023-08-08 10:43:17 transreid.train INFO: Epoch[45] Iter[120/486] Loss: 0.441, Acc: 0.968, Base Lr: 2.77e-04 +2023-08-08 10:43:21 transreid.train INFO: Epoch[45] Iter[140/486] Loss: 0.429, Acc: 0.970, Base Lr: 2.77e-04 +2023-08-08 10:43:24 transreid.train INFO: Epoch[45] Iter[160/486] Loss: 0.420, Acc: 0.971, Base Lr: 2.77e-04 +2023-08-08 10:43:27 transreid.train INFO: Epoch[45] Iter[180/486] Loss: 0.409, Acc: 0.973, Base Lr: 2.77e-04 +2023-08-08 10:43:30 transreid.train INFO: Epoch[45] Iter[200/486] Loss: 0.397, Acc: 0.975, Base Lr: 2.77e-04 +2023-08-08 10:43:33 transreid.train INFO: Epoch[45] Iter[220/486] Loss: 0.389, Acc: 0.975, Base Lr: 2.77e-04 +2023-08-08 10:43:36 transreid.train INFO: Epoch[45] Iter[240/486] Loss: 0.382, Acc: 0.976, Base Lr: 2.77e-04 +2023-08-08 10:43:40 transreid.train INFO: Epoch[45] Iter[260/486] Loss: 0.375, Acc: 0.977, Base Lr: 2.77e-04 +2023-08-08 10:43:43 transreid.train INFO: Epoch[45] Iter[280/486] Loss: 0.366, Acc: 0.978, Base Lr: 2.77e-04 +2023-08-08 10:43:46 transreid.train INFO: Epoch[45] Iter[300/486] Loss: 0.360, Acc: 0.978, Base Lr: 2.77e-04 +2023-08-08 10:43:49 transreid.train INFO: Epoch[45] Iter[320/486] Loss: 0.353, Acc: 0.979, Base Lr: 2.77e-04 +2023-08-08 10:43:52 transreid.train INFO: Epoch[45] Iter[340/486] Loss: 0.343, Acc: 0.980, Base Lr: 2.77e-04 +2023-08-08 10:43:56 transreid.train INFO: Epoch[45] Iter[360/486] Loss: 0.335, Acc: 0.981, Base Lr: 2.77e-04 +2023-08-08 10:43:59 transreid.train INFO: Epoch[45] Iter[380/486] Loss: 0.331, Acc: 0.981, Base Lr: 2.77e-04 +2023-08-08 10:44:02 transreid.train INFO: Epoch[45] Iter[400/486] Loss: 0.324, Acc: 0.981, Base Lr: 2.77e-04 +2023-08-08 10:44:05 transreid.train INFO: Epoch[45] Iter[420/486] Loss: 0.316, Acc: 0.982, Base Lr: 2.77e-04 +2023-08-08 10:44:08 transreid.train INFO: Epoch[45] Iter[440/486] Loss: 0.310, Acc: 0.982, Base Lr: 2.77e-04 +2023-08-08 10:44:11 transreid.train INFO: Epoch[45] Iter[460/486] Loss: 0.306, Acc: 0.983, Base Lr: 2.77e-04 +2023-08-08 10:44:14 transreid.train INFO: Epoch 45 done. Time per epoch: 76.194[s] Speed: 398.1[samples/s] +2023-08-08 10:44:18 transreid.train INFO: Epoch[46] Iter[20/486] Loss: 0.471, Acc: 0.963, Base Lr: 2.72e-04 +2023-08-08 10:44:21 transreid.train INFO: Epoch[46] Iter[40/486] Loss: 0.458, Acc: 0.960, Base Lr: 2.72e-04 +2023-08-08 10:44:24 transreid.train INFO: Epoch[46] Iter[60/486] Loss: 0.428, Acc: 0.967, Base Lr: 2.72e-04 +2023-08-08 10:44:27 transreid.train INFO: Epoch[46] Iter[80/486] Loss: 0.418, Acc: 0.969, Base Lr: 2.72e-04 +2023-08-08 10:44:31 transreid.train INFO: Epoch[46] Iter[100/486] Loss: 0.412, Acc: 0.970, Base Lr: 2.72e-04 +2023-08-08 10:44:34 transreid.train INFO: Epoch[46] Iter[120/486] Loss: 0.406, Acc: 0.971, Base Lr: 2.72e-04 +2023-08-08 10:44:37 transreid.train INFO: Epoch[46] Iter[140/486] Loss: 0.401, Acc: 0.972, Base Lr: 2.72e-04 +2023-08-08 10:44:40 transreid.train INFO: Epoch[46] Iter[160/486] Loss: 0.396, Acc: 0.973, Base Lr: 2.72e-04 +2023-08-08 10:44:43 transreid.train INFO: Epoch[46] Iter[180/486] Loss: 0.384, Acc: 0.974, Base Lr: 2.72e-04 +2023-08-08 10:44:46 transreid.train INFO: Epoch[46] Iter[200/486] Loss: 0.377, Acc: 0.975, Base Lr: 2.72e-04 +2023-08-08 10:44:50 transreid.train INFO: Epoch[46] Iter[220/486] Loss: 0.366, Acc: 0.976, Base Lr: 2.72e-04 +2023-08-08 10:44:53 transreid.train INFO: Epoch[46] Iter[240/486] Loss: 0.361, Acc: 0.977, Base Lr: 2.72e-04 +2023-08-08 10:44:56 transreid.train INFO: Epoch[46] Iter[260/486] Loss: 0.355, Acc: 0.978, Base Lr: 2.72e-04 +2023-08-08 10:44:59 transreid.train INFO: Epoch[46] Iter[280/486] Loss: 0.348, Acc: 0.978, Base Lr: 2.72e-04 +2023-08-08 10:45:02 transreid.train INFO: Epoch[46] Iter[300/486] Loss: 0.341, Acc: 0.979, Base Lr: 2.72e-04 +2023-08-08 10:45:06 transreid.train INFO: Epoch[46] Iter[320/486] Loss: 0.334, Acc: 0.980, Base Lr: 2.72e-04 +2023-08-08 10:45:09 transreid.train INFO: Epoch[46] Iter[340/486] Loss: 0.326, Acc: 0.981, Base Lr: 2.72e-04 +2023-08-08 10:45:12 transreid.train INFO: Epoch[46] Iter[360/486] Loss: 0.319, Acc: 0.981, Base Lr: 2.72e-04 +2023-08-08 10:45:15 transreid.train INFO: Epoch[46] Iter[380/486] Loss: 0.311, Acc: 0.982, Base Lr: 2.72e-04 +2023-08-08 10:45:18 transreid.train INFO: Epoch[46] Iter[400/486] Loss: 0.305, Acc: 0.982, Base Lr: 2.72e-04 +2023-08-08 10:45:22 transreid.train INFO: Epoch[46] Iter[420/486] Loss: 0.298, Acc: 0.983, Base Lr: 2.72e-04 +2023-08-08 10:45:25 transreid.train INFO: Epoch[46] Iter[440/486] Loss: 0.293, Acc: 0.983, Base Lr: 2.72e-04 +2023-08-08 10:45:28 transreid.train INFO: Epoch[46] Iter[460/486] Loss: 0.287, Acc: 0.983, Base Lr: 2.72e-04 +2023-08-08 10:45:31 transreid.train INFO: Epoch 46 done. 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Time per epoch: 75.728[s] Speed: 398.9[samples/s] +2023-08-08 10:46:50 transreid.train INFO: Epoch[48] Iter[20/486] Loss: 0.508, Acc: 0.960, Base Lr: 2.62e-04 +2023-08-08 10:46:54 transreid.train INFO: Epoch[48] Iter[40/486] Loss: 0.484, Acc: 0.965, Base Lr: 2.62e-04 +2023-08-08 10:46:57 transreid.train INFO: Epoch[48] Iter[60/486] Loss: 0.440, Acc: 0.967, Base Lr: 2.62e-04 +2023-08-08 10:47:00 transreid.train INFO: Epoch[48] Iter[80/486] Loss: 0.444, Acc: 0.967, Base Lr: 2.62e-04 +2023-08-08 10:47:03 transreid.train INFO: Epoch[48] Iter[100/486] Loss: 0.419, Acc: 0.969, Base Lr: 2.62e-04 +2023-08-08 10:47:06 transreid.train INFO: Epoch[48] Iter[120/486] Loss: 0.398, Acc: 0.972, Base Lr: 2.62e-04 +2023-08-08 10:47:10 transreid.train INFO: Epoch[48] Iter[140/486] Loss: 0.388, Acc: 0.974, Base Lr: 2.62e-04 +2023-08-08 10:47:13 transreid.train INFO: Epoch[48] Iter[160/486] Loss: 0.380, Acc: 0.975, Base Lr: 2.62e-04 +2023-08-08 10:47:16 transreid.train INFO: Epoch[48] Iter[180/486] Loss: 0.369, Acc: 0.976, Base Lr: 2.62e-04 +2023-08-08 10:47:19 transreid.train INFO: Epoch[48] Iter[200/486] Loss: 0.357, Acc: 0.977, Base Lr: 2.62e-04 +2023-08-08 10:47:22 transreid.train INFO: Epoch[48] Iter[220/486] Loss: 0.350, Acc: 0.978, Base Lr: 2.62e-04 +2023-08-08 10:47:26 transreid.train INFO: Epoch[48] Iter[240/486] Loss: 0.340, Acc: 0.980, Base Lr: 2.62e-04 +2023-08-08 10:47:29 transreid.train INFO: Epoch[48] Iter[260/486] Loss: 0.332, Acc: 0.980, Base Lr: 2.62e-04 +2023-08-08 10:47:32 transreid.train INFO: Epoch[48] Iter[280/486] Loss: 0.325, Acc: 0.981, Base Lr: 2.62e-04 +2023-08-08 10:47:35 transreid.train INFO: Epoch[48] Iter[300/486] Loss: 0.320, Acc: 0.981, Base Lr: 2.62e-04 +2023-08-08 10:47:38 transreid.train INFO: Epoch[48] Iter[320/486] Loss: 0.313, Acc: 0.982, Base Lr: 2.62e-04 +2023-08-08 10:47:41 transreid.train INFO: Epoch[48] Iter[340/486] Loss: 0.308, Acc: 0.982, Base Lr: 2.62e-04 +2023-08-08 10:47:45 transreid.train INFO: Epoch[48] Iter[360/486] Loss: 0.304, Acc: 0.983, Base Lr: 2.62e-04 +2023-08-08 10:47:48 transreid.train INFO: Epoch[48] Iter[380/486] Loss: 0.297, Acc: 0.983, Base Lr: 2.62e-04 +2023-08-08 10:47:51 transreid.train INFO: Epoch[48] Iter[400/486] Loss: 0.291, Acc: 0.983, Base Lr: 2.62e-04 +2023-08-08 10:47:54 transreid.train INFO: Epoch[48] Iter[420/486] Loss: 0.286, Acc: 0.984, Base Lr: 2.62e-04 +2023-08-08 10:47:57 transreid.train INFO: Epoch[48] Iter[440/486] Loss: 0.280, Acc: 0.984, Base Lr: 2.62e-04 +2023-08-08 10:48:00 transreid.train INFO: Epoch[48] Iter[460/486] Loss: 0.275, Acc: 0.984, Base Lr: 2.62e-04 +2023-08-08 10:48:03 transreid.train INFO: Epoch 48 done. Time per epoch: 76.339[s] Speed: 397.4[samples/s] +2023-08-08 10:48:07 transreid.train INFO: Epoch[49] Iter[20/486] Loss: 0.439, Acc: 0.963, Base Lr: 2.57e-04 +2023-08-08 10:48:10 transreid.train INFO: Epoch[49] Iter[40/486] Loss: 0.387, Acc: 0.972, Base Lr: 2.57e-04 +2023-08-08 10:48:13 transreid.train INFO: Epoch[49] Iter[60/486] Loss: 0.378, Acc: 0.973, Base Lr: 2.57e-04 +2023-08-08 10:48:16 transreid.train INFO: Epoch[49] Iter[80/486] Loss: 0.387, Acc: 0.972, Base Lr: 2.57e-04 +2023-08-08 10:48:19 transreid.train INFO: Epoch[49] Iter[100/486] Loss: 0.376, Acc: 0.973, Base Lr: 2.57e-04 +2023-08-08 10:48:23 transreid.train INFO: Epoch[49] Iter[120/486] Loss: 0.373, Acc: 0.974, Base Lr: 2.57e-04 +2023-08-08 10:48:26 transreid.train INFO: Epoch[49] Iter[140/486] Loss: 0.368, Acc: 0.975, Base Lr: 2.57e-04 +2023-08-08 10:48:29 transreid.train INFO: Epoch[49] Iter[160/486] Loss: 0.358, Acc: 0.976, Base Lr: 2.57e-04 +2023-08-08 10:48:32 transreid.train INFO: Epoch[49] Iter[180/486] Loss: 0.347, Acc: 0.977, Base Lr: 2.57e-04 +2023-08-08 10:48:35 transreid.train INFO: Epoch[49] Iter[200/486] Loss: 0.341, Acc: 0.978, Base Lr: 2.57e-04 +2023-08-08 10:48:39 transreid.train INFO: Epoch[49] Iter[220/486] Loss: 0.331, Acc: 0.979, Base Lr: 2.57e-04 +2023-08-08 10:48:42 transreid.train INFO: Epoch[49] Iter[240/486] Loss: 0.324, Acc: 0.980, Base Lr: 2.57e-04 +2023-08-08 10:48:45 transreid.train INFO: Epoch[49] Iter[260/486] Loss: 0.314, Acc: 0.981, Base Lr: 2.57e-04 +2023-08-08 10:48:48 transreid.train INFO: Epoch[49] Iter[280/486] Loss: 0.306, Acc: 0.982, Base Lr: 2.57e-04 +2023-08-08 10:48:51 transreid.train INFO: Epoch[49] Iter[300/486] Loss: 0.299, Acc: 0.983, Base Lr: 2.57e-04 +2023-08-08 10:48:54 transreid.train INFO: Epoch[49] Iter[320/486] Loss: 0.294, Acc: 0.983, Base Lr: 2.57e-04 +2023-08-08 10:48:58 transreid.train INFO: Epoch[49] Iter[340/486] Loss: 0.287, Acc: 0.984, Base Lr: 2.57e-04 +2023-08-08 10:49:01 transreid.train INFO: Epoch[49] Iter[360/486] Loss: 0.281, Acc: 0.984, Base Lr: 2.57e-04 +2023-08-08 10:49:04 transreid.train INFO: Epoch[49] Iter[380/486] Loss: 0.276, Acc: 0.985, Base Lr: 2.57e-04 +2023-08-08 10:49:07 transreid.train INFO: Epoch[49] Iter[400/486] Loss: 0.270, Acc: 0.985, Base Lr: 2.57e-04 +2023-08-08 10:49:10 transreid.train INFO: Epoch[49] Iter[420/486] Loss: 0.264, Acc: 0.985, Base Lr: 2.57e-04 +2023-08-08 10:49:13 transreid.train INFO: Epoch[49] Iter[440/486] Loss: 0.260, Acc: 0.986, Base Lr: 2.57e-04 +2023-08-08 10:49:17 transreid.train INFO: Epoch[49] Iter[460/486] Loss: 0.252, Acc: 0.986, Base Lr: 2.57e-04 +2023-08-08 10:49:19 transreid.train INFO: Epoch 49 done. Time per epoch: 76.395[s] Speed: 397.9[samples/s] +2023-08-08 10:49:23 transreid.train INFO: Epoch[50] Iter[20/486] Loss: 0.423, Acc: 0.963, Base Lr: 2.52e-04 +2023-08-08 10:49:26 transreid.train INFO: Epoch[50] Iter[40/486] Loss: 0.406, Acc: 0.965, Base Lr: 2.52e-04 +2023-08-08 10:49:30 transreid.train INFO: Epoch[50] Iter[60/486] Loss: 0.380, Acc: 0.970, Base Lr: 2.52e-04 +2023-08-08 10:49:33 transreid.train INFO: Epoch[50] Iter[80/486] Loss: 0.374, Acc: 0.971, Base Lr: 2.52e-04 +2023-08-08 10:49:36 transreid.train INFO: Epoch[50] Iter[100/486] Loss: 0.360, Acc: 0.973, Base Lr: 2.52e-04 +2023-08-08 10:49:39 transreid.train INFO: Epoch[50] Iter[120/486] Loss: 0.346, Acc: 0.975, Base Lr: 2.52e-04 +2023-08-08 10:49:42 transreid.train INFO: Epoch[50] Iter[140/486] Loss: 0.334, Acc: 0.977, Base Lr: 2.52e-04 +2023-08-08 10:49:45 transreid.train INFO: Epoch[50] Iter[160/486] Loss: 0.324, Acc: 0.979, Base Lr: 2.52e-04 +2023-08-08 10:49:49 transreid.train INFO: Epoch[50] Iter[180/486] Loss: 0.316, Acc: 0.980, Base Lr: 2.52e-04 +2023-08-08 10:49:52 transreid.train INFO: Epoch[50] Iter[200/486] Loss: 0.311, Acc: 0.980, Base Lr: 2.52e-04 +2023-08-08 10:49:55 transreid.train INFO: Epoch[50] Iter[220/486] Loss: 0.307, Acc: 0.981, Base Lr: 2.52e-04 +2023-08-08 10:49:58 transreid.train INFO: Epoch[50] Iter[240/486] Loss: 0.301, Acc: 0.981, Base Lr: 2.52e-04 +2023-08-08 10:50:01 transreid.train INFO: Epoch[50] Iter[260/486] Loss: 0.295, Acc: 0.982, Base Lr: 2.52e-04 +2023-08-08 10:50:05 transreid.train INFO: Epoch[50] Iter[280/486] Loss: 0.287, Acc: 0.983, Base Lr: 2.52e-04 +2023-08-08 10:50:08 transreid.train INFO: Epoch[50] Iter[300/486] Loss: 0.285, Acc: 0.983, Base Lr: 2.52e-04 +2023-08-08 10:50:11 transreid.train INFO: Epoch[50] Iter[320/486] Loss: 0.280, Acc: 0.984, Base Lr: 2.52e-04 +2023-08-08 10:50:14 transreid.train INFO: Epoch[50] Iter[340/486] Loss: 0.275, Acc: 0.984, Base Lr: 2.52e-04 +2023-08-08 10:50:17 transreid.train INFO: Epoch[50] Iter[360/486] Loss: 0.269, Acc: 0.984, Base Lr: 2.52e-04 +2023-08-08 10:50:21 transreid.train INFO: Epoch[50] Iter[380/486] Loss: 0.263, Acc: 0.985, Base Lr: 2.52e-04 +2023-08-08 10:50:24 transreid.train INFO: Epoch[50] Iter[400/486] Loss: 0.258, Acc: 0.985, Base Lr: 2.52e-04 +2023-08-08 10:50:27 transreid.train INFO: Epoch[50] Iter[420/486] Loss: 0.252, Acc: 0.985, Base Lr: 2.52e-04 +2023-08-08 10:50:30 transreid.train INFO: Epoch[50] Iter[440/486] Loss: 0.246, Acc: 0.985, Base Lr: 2.52e-04 +2023-08-08 10:50:34 transreid.train INFO: Epoch[50] Iter[460/486] Loss: 0.240, Acc: 0.986, Base Lr: 2.52e-04 +2023-08-08 10:50:36 transreid.train INFO: Epoch 50 done. 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Time per epoch: 76.933[s] Speed: 394.3[samples/s] +2023-08-08 10:51:57 transreid.train INFO: Epoch[52] Iter[20/486] Loss: 0.382, Acc: 0.970, Base Lr: 2.42e-04 +2023-08-08 10:52:00 transreid.train INFO: Epoch[52] Iter[40/486] Loss: 0.361, Acc: 0.973, Base Lr: 2.42e-04 +2023-08-08 10:52:03 transreid.train INFO: Epoch[52] Iter[60/486] Loss: 0.346, Acc: 0.978, Base Lr: 2.42e-04 +2023-08-08 10:52:07 transreid.train INFO: Epoch[52] Iter[80/486] Loss: 0.346, Acc: 0.976, Base Lr: 2.42e-04 +2023-08-08 10:52:10 transreid.train INFO: Epoch[52] Iter[100/486] Loss: 0.339, Acc: 0.978, Base Lr: 2.42e-04 +2023-08-08 10:52:13 transreid.train INFO: Epoch[52] Iter[120/486] Loss: 0.329, Acc: 0.979, Base Lr: 2.42e-04 +2023-08-08 10:52:16 transreid.train INFO: Epoch[52] Iter[140/486] Loss: 0.320, Acc: 0.980, Base Lr: 2.42e-04 +2023-08-08 10:52:19 transreid.train INFO: Epoch[52] Iter[160/486] Loss: 0.310, Acc: 0.981, Base Lr: 2.42e-04 +2023-08-08 10:52:23 transreid.train INFO: Epoch[52] Iter[180/486] Loss: 0.299, Acc: 0.982, Base Lr: 2.42e-04 +2023-08-08 10:52:26 transreid.train INFO: Epoch[52] Iter[200/486] Loss: 0.295, Acc: 0.983, Base Lr: 2.42e-04 +2023-08-08 10:52:29 transreid.train INFO: Epoch[52] Iter[220/486] Loss: 0.298, Acc: 0.982, Base Lr: 2.42e-04 +2023-08-08 10:52:32 transreid.train INFO: Epoch[52] Iter[240/486] Loss: 0.290, Acc: 0.983, Base Lr: 2.42e-04 +2023-08-08 10:52:35 transreid.train INFO: Epoch[52] Iter[260/486] Loss: 0.283, Acc: 0.984, Base Lr: 2.42e-04 +2023-08-08 10:52:39 transreid.train INFO: Epoch[52] Iter[280/486] Loss: 0.277, Acc: 0.985, Base Lr: 2.42e-04 +2023-08-08 10:52:42 transreid.train INFO: Epoch[52] Iter[300/486] Loss: 0.270, Acc: 0.985, Base Lr: 2.42e-04 +2023-08-08 10:52:45 transreid.train INFO: Epoch[52] Iter[320/486] Loss: 0.264, Acc: 0.986, Base Lr: 2.42e-04 +2023-08-08 10:52:48 transreid.train INFO: Epoch[52] Iter[340/486] Loss: 0.257, Acc: 0.986, Base Lr: 2.42e-04 +2023-08-08 10:52:51 transreid.train INFO: Epoch[52] Iter[360/486] Loss: 0.251, Acc: 0.987, Base Lr: 2.42e-04 +2023-08-08 10:52:55 transreid.train INFO: Epoch[52] Iter[380/486] Loss: 0.246, Acc: 0.987, Base Lr: 2.42e-04 +2023-08-08 10:52:58 transreid.train INFO: Epoch[52] Iter[400/486] Loss: 0.240, Acc: 0.987, Base Lr: 2.42e-04 +2023-08-08 10:53:01 transreid.train INFO: Epoch[52] Iter[420/486] Loss: 0.235, Acc: 0.988, Base Lr: 2.42e-04 +2023-08-08 10:53:04 transreid.train INFO: Epoch[52] Iter[440/486] Loss: 0.232, Acc: 0.988, Base Lr: 2.42e-04 +2023-08-08 10:53:07 transreid.train INFO: Epoch[52] Iter[460/486] Loss: 0.227, Acc: 0.988, Base Lr: 2.42e-04 +2023-08-08 10:53:10 transreid.train INFO: Epoch 52 done. 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Time per epoch: 76.605[s] Speed: 394.3[samples/s] +2023-08-08 10:59:36 transreid.train INFO: Epoch[58] Iter[20/486] Loss: 0.254, Acc: 0.988, Base Lr: 2.11e-04 +2023-08-08 10:59:39 transreid.train INFO: Epoch[58] Iter[40/486] Loss: 0.290, Acc: 0.982, Base Lr: 2.11e-04 +2023-08-08 10:59:43 transreid.train INFO: Epoch[58] Iter[60/486] Loss: 0.278, Acc: 0.983, Base Lr: 2.11e-04 +2023-08-08 10:59:46 transreid.train INFO: Epoch[58] Iter[80/486] Loss: 0.274, Acc: 0.984, Base Lr: 2.11e-04 +2023-08-08 10:59:49 transreid.train INFO: Epoch[58] Iter[100/486] Loss: 0.269, Acc: 0.985, Base Lr: 2.11e-04 +2023-08-08 10:59:52 transreid.train INFO: Epoch[58] Iter[120/486] Loss: 0.263, Acc: 0.987, Base Lr: 2.11e-04 +2023-08-08 10:59:56 transreid.train INFO: Epoch[58] Iter[140/486] Loss: 0.260, Acc: 0.987, Base Lr: 2.11e-04 +2023-08-08 10:59:59 transreid.train INFO: Epoch[58] Iter[160/486] Loss: 0.257, Acc: 0.987, Base Lr: 2.11e-04 +2023-08-08 11:00:02 transreid.train INFO: Epoch[58] Iter[180/486] Loss: 0.252, Acc: 0.987, Base Lr: 2.11e-04 +2023-08-08 11:00:05 transreid.train INFO: Epoch[58] Iter[200/486] Loss: 0.245, Acc: 0.988, Base Lr: 2.11e-04 +2023-08-08 11:00:08 transreid.train INFO: Epoch[58] Iter[220/486] Loss: 0.239, Acc: 0.988, Base Lr: 2.11e-04 +2023-08-08 11:00:12 transreid.train INFO: Epoch[58] Iter[240/486] Loss: 0.233, Acc: 0.989, Base Lr: 2.11e-04 +2023-08-08 11:00:15 transreid.train INFO: Epoch[58] Iter[260/486] Loss: 0.230, Acc: 0.989, Base Lr: 2.11e-04 +2023-08-08 11:00:18 transreid.train INFO: Epoch[58] Iter[280/486] Loss: 0.226, Acc: 0.989, Base Lr: 2.11e-04 +2023-08-08 11:00:21 transreid.train INFO: Epoch[58] Iter[300/486] Loss: 0.223, Acc: 0.990, Base Lr: 2.11e-04 +2023-08-08 11:00:24 transreid.train INFO: Epoch[58] Iter[320/486] Loss: 0.219, Acc: 0.990, Base Lr: 2.11e-04 +2023-08-08 11:00:27 transreid.train INFO: Epoch[58] Iter[340/486] Loss: 0.216, Acc: 0.990, Base Lr: 2.11e-04 +2023-08-08 11:00:31 transreid.train INFO: Epoch[58] Iter[360/486] Loss: 0.211, Acc: 0.991, Base Lr: 2.11e-04 +2023-08-08 11:00:34 transreid.train INFO: Epoch[58] Iter[380/486] Loss: 0.207, Acc: 0.991, Base Lr: 2.11e-04 +2023-08-08 11:00:37 transreid.train INFO: Epoch[58] Iter[400/486] Loss: 0.202, Acc: 0.991, Base Lr: 2.11e-04 +2023-08-08 11:00:40 transreid.train INFO: Epoch[58] Iter[420/486] Loss: 0.199, Acc: 0.991, Base Lr: 2.11e-04 +2023-08-08 11:00:43 transreid.train INFO: Epoch[58] Iter[440/486] Loss: 0.195, Acc: 0.991, Base Lr: 2.11e-04 +2023-08-08 11:00:47 transreid.train INFO: Epoch[58] Iter[460/486] Loss: 0.192, Acc: 0.991, Base Lr: 2.11e-04 +2023-08-08 11:00:49 transreid.train INFO: Epoch 58 done. 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Time per epoch: 77.164[s] Speed: 393.1[samples/s] +2023-08-08 11:02:10 transreid.train INFO: Epoch[60] Iter[20/486] Loss: 0.271, Acc: 0.982, Base Lr: 2.00e-04 +2023-08-08 11:02:13 transreid.train INFO: Epoch[60] Iter[40/486] Loss: 0.269, Acc: 0.985, Base Lr: 2.00e-04 +2023-08-08 11:02:17 transreid.train INFO: Epoch[60] Iter[60/486] Loss: 0.268, Acc: 0.985, Base Lr: 2.00e-04 +2023-08-08 11:02:20 transreid.train INFO: Epoch[60] Iter[80/486] Loss: 0.263, Acc: 0.986, Base Lr: 2.00e-04 +2023-08-08 11:02:23 transreid.train INFO: Epoch[60] Iter[100/486] Loss: 0.263, Acc: 0.986, Base Lr: 2.00e-04 +2023-08-08 11:02:26 transreid.train INFO: Epoch[60] Iter[120/486] Loss: 0.256, Acc: 0.986, Base Lr: 2.00e-04 +2023-08-08 11:02:29 transreid.train INFO: Epoch[60] Iter[140/486] Loss: 0.249, Acc: 0.987, Base Lr: 2.00e-04 +2023-08-08 11:02:33 transreid.train INFO: Epoch[60] Iter[160/486] Loss: 0.243, Acc: 0.988, Base Lr: 2.00e-04 +2023-08-08 11:02:36 transreid.train INFO: Epoch[60] Iter[180/486] Loss: 0.237, Acc: 0.988, Base Lr: 2.00e-04 +2023-08-08 11:02:39 transreid.train INFO: Epoch[60] Iter[200/486] Loss: 0.233, Acc: 0.989, Base Lr: 2.00e-04 +2023-08-08 11:02:42 transreid.train INFO: Epoch[60] Iter[220/486] Loss: 0.229, Acc: 0.989, Base Lr: 2.00e-04 +2023-08-08 11:02:45 transreid.train INFO: Epoch[60] Iter[240/486] Loss: 0.224, Acc: 0.989, Base Lr: 2.00e-04 +2023-08-08 11:02:49 transreid.train INFO: Epoch[60] Iter[260/486] Loss: 0.221, Acc: 0.990, Base Lr: 2.00e-04 +2023-08-08 11:02:52 transreid.train INFO: Epoch[60] Iter[280/486] Loss: 0.215, Acc: 0.990, Base Lr: 2.00e-04 +2023-08-08 11:02:55 transreid.train INFO: Epoch[60] Iter[300/486] Loss: 0.210, Acc: 0.990, Base Lr: 2.00e-04 +2023-08-08 11:02:58 transreid.train INFO: Epoch[60] Iter[320/486] Loss: 0.207, Acc: 0.990, Base Lr: 2.00e-04 +2023-08-08 11:03:01 transreid.train INFO: Epoch[60] Iter[340/486] Loss: 0.203, Acc: 0.991, Base Lr: 2.00e-04 +2023-08-08 11:03:05 transreid.train INFO: Epoch[60] Iter[360/486] Loss: 0.201, Acc: 0.991, Base Lr: 2.00e-04 +2023-08-08 11:03:08 transreid.train INFO: Epoch[60] Iter[380/486] Loss: 0.200, Acc: 0.991, Base Lr: 2.00e-04 +2023-08-08 11:03:11 transreid.train INFO: Epoch[60] Iter[400/486] Loss: 0.195, Acc: 0.991, Base Lr: 2.00e-04 +2023-08-08 11:03:14 transreid.train INFO: Epoch[60] Iter[420/486] Loss: 0.192, Acc: 0.991, Base Lr: 2.00e-04 +2023-08-08 11:03:17 transreid.train INFO: Epoch[60] Iter[440/486] Loss: 0.187, Acc: 0.992, Base Lr: 2.00e-04 +2023-08-08 11:03:21 transreid.train INFO: Epoch[60] Iter[460/486] Loss: 0.183, Acc: 0.992, Base Lr: 2.00e-04 +2023-08-08 11:03:23 transreid.train INFO: Epoch 60 done. Time per epoch: 76.406[s] Speed: 395.4[samples/s] +2023-08-08 11:03:27 transreid.train INFO: Epoch[61] Iter[20/486] Loss: 0.283, Acc: 0.977, Base Lr: 1.95e-04 +2023-08-08 11:03:30 transreid.train INFO: Epoch[61] Iter[40/486] Loss: 0.278, Acc: 0.981, Base Lr: 1.95e-04 +2023-08-08 11:03:33 transreid.train INFO: Epoch[61] Iter[60/486] Loss: 0.260, Acc: 0.984, Base Lr: 1.95e-04 +2023-08-08 11:03:36 transreid.train INFO: Epoch[61] Iter[80/486] Loss: 0.256, Acc: 0.985, Base Lr: 1.95e-04 +2023-08-08 11:03:39 transreid.train INFO: Epoch[61] Iter[100/486] Loss: 0.258, Acc: 0.984, Base Lr: 1.95e-04 +2023-08-08 11:03:43 transreid.train INFO: Epoch[61] Iter[120/486] Loss: 0.247, Acc: 0.986, Base Lr: 1.95e-04 +2023-08-08 11:03:46 transreid.train INFO: Epoch[61] Iter[140/486] Loss: 0.237, Acc: 0.987, Base Lr: 1.95e-04 +2023-08-08 11:03:49 transreid.train INFO: Epoch[61] Iter[160/486] Loss: 0.229, Acc: 0.987, Base Lr: 1.95e-04 +2023-08-08 11:03:52 transreid.train INFO: Epoch[61] Iter[180/486] Loss: 0.226, Acc: 0.988, Base Lr: 1.95e-04 +2023-08-08 11:03:55 transreid.train INFO: Epoch[61] Iter[200/486] Loss: 0.220, Acc: 0.988, Base Lr: 1.95e-04 +2023-08-08 11:03:59 transreid.train INFO: Epoch[61] Iter[220/486] Loss: 0.215, Acc: 0.989, Base Lr: 1.95e-04 +2023-08-08 11:04:02 transreid.train INFO: Epoch[61] Iter[240/486] Loss: 0.211, Acc: 0.989, Base Lr: 1.95e-04 +2023-08-08 11:04:05 transreid.train INFO: Epoch[61] Iter[260/486] Loss: 0.207, Acc: 0.990, Base Lr: 1.95e-04 +2023-08-08 11:04:08 transreid.train INFO: Epoch[61] Iter[280/486] Loss: 0.203, Acc: 0.990, Base Lr: 1.95e-04 +2023-08-08 11:04:11 transreid.train INFO: Epoch[61] Iter[300/486] Loss: 0.201, Acc: 0.990, Base Lr: 1.95e-04 +2023-08-08 11:04:15 transreid.train INFO: Epoch[61] Iter[320/486] Loss: 0.196, Acc: 0.991, Base Lr: 1.95e-04 +2023-08-08 11:04:18 transreid.train INFO: Epoch[61] Iter[340/486] Loss: 0.193, Acc: 0.991, Base Lr: 1.95e-04 +2023-08-08 11:04:21 transreid.train INFO: Epoch[61] Iter[360/486] Loss: 0.190, Acc: 0.991, Base Lr: 1.95e-04 +2023-08-08 11:04:24 transreid.train INFO: Epoch[61] Iter[380/486] Loss: 0.188, Acc: 0.991, Base Lr: 1.95e-04 +2023-08-08 11:04:27 transreid.train INFO: Epoch[61] Iter[400/486] Loss: 0.185, Acc: 0.991, Base Lr: 1.95e-04 +2023-08-08 11:04:30 transreid.train INFO: Epoch[61] Iter[420/486] Loss: 0.180, Acc: 0.991, Base Lr: 1.95e-04 +2023-08-08 11:04:34 transreid.train INFO: Epoch[61] Iter[440/486] Loss: 0.178, Acc: 0.992, Base Lr: 1.95e-04 +2023-08-08 11:04:37 transreid.train INFO: Epoch[61] Iter[460/486] Loss: 0.174, Acc: 0.992, Base Lr: 1.95e-04 +2023-08-08 11:04:39 transreid.train INFO: Epoch 61 done. Time per epoch: 76.130[s] Speed: 396.0[samples/s] +2023-08-08 11:04:43 transreid.train INFO: Epoch[62] Iter[20/486] Loss: 0.263, Acc: 0.982, Base Lr: 1.90e-04 +2023-08-08 11:04:46 transreid.train INFO: Epoch[62] Iter[40/486] Loss: 0.262, Acc: 0.983, Base Lr: 1.90e-04 +2023-08-08 11:04:49 transreid.train INFO: Epoch[62] Iter[60/486] Loss: 0.249, Acc: 0.986, Base Lr: 1.90e-04 +2023-08-08 11:04:52 transreid.train INFO: Epoch[62] Iter[80/486] Loss: 0.244, Acc: 0.986, Base Lr: 1.90e-04 +2023-08-08 11:04:56 transreid.train INFO: Epoch[62] Iter[100/486] Loss: 0.240, Acc: 0.987, Base Lr: 1.90e-04 +2023-08-08 11:04:59 transreid.train INFO: Epoch[62] Iter[120/486] Loss: 0.237, Acc: 0.988, Base Lr: 1.90e-04 +2023-08-08 11:05:02 transreid.train INFO: Epoch[62] Iter[140/486] Loss: 0.235, Acc: 0.988, Base Lr: 1.90e-04 +2023-08-08 11:05:05 transreid.train INFO: Epoch[62] Iter[160/486] Loss: 0.228, Acc: 0.989, Base Lr: 1.90e-04 +2023-08-08 11:05:08 transreid.train INFO: Epoch[62] Iter[180/486] Loss: 0.228, Acc: 0.989, Base Lr: 1.90e-04 +2023-08-08 11:05:12 transreid.train INFO: Epoch[62] Iter[200/486] Loss: 0.222, Acc: 0.990, Base Lr: 1.90e-04 +2023-08-08 11:05:15 transreid.train INFO: Epoch[62] Iter[220/486] Loss: 0.217, Acc: 0.990, Base Lr: 1.90e-04 +2023-08-08 11:05:18 transreid.train INFO: Epoch[62] Iter[240/486] Loss: 0.213, Acc: 0.990, Base Lr: 1.90e-04 +2023-08-08 11:05:21 transreid.train INFO: Epoch[62] Iter[260/486] Loss: 0.209, Acc: 0.991, Base Lr: 1.90e-04 +2023-08-08 11:05:24 transreid.train INFO: Epoch[62] Iter[280/486] Loss: 0.203, Acc: 0.991, Base Lr: 1.90e-04 +2023-08-08 11:05:28 transreid.train INFO: Epoch[62] Iter[300/486] Loss: 0.200, Acc: 0.991, Base Lr: 1.90e-04 +2023-08-08 11:05:31 transreid.train INFO: Epoch[62] Iter[320/486] Loss: 0.196, Acc: 0.991, Base Lr: 1.90e-04 +2023-08-08 11:05:34 transreid.train INFO: Epoch[62] Iter[340/486] Loss: 0.192, Acc: 0.991, Base Lr: 1.90e-04 +2023-08-08 11:05:37 transreid.train INFO: Epoch[62] Iter[360/486] Loss: 0.190, Acc: 0.992, Base Lr: 1.90e-04 +2023-08-08 11:05:40 transreid.train INFO: Epoch[62] Iter[380/486] Loss: 0.186, Acc: 0.992, Base Lr: 1.90e-04 +2023-08-08 11:05:44 transreid.train INFO: Epoch[62] Iter[400/486] Loss: 0.182, Acc: 0.992, Base Lr: 1.90e-04 +2023-08-08 11:05:47 transreid.train INFO: Epoch[62] Iter[420/486] Loss: 0.179, Acc: 0.992, Base Lr: 1.90e-04 +2023-08-08 11:05:50 transreid.train INFO: Epoch[62] Iter[440/486] Loss: 0.174, Acc: 0.992, Base Lr: 1.90e-04 +2023-08-08 11:05:53 transreid.train INFO: Epoch[62] Iter[460/486] Loss: 0.170, Acc: 0.992, Base Lr: 1.90e-04 +2023-08-08 11:05:56 transreid.train INFO: Epoch 62 done. Time per epoch: 76.918[s] Speed: 395.2[samples/s] +2023-08-08 11:06:00 transreid.train INFO: Epoch[63] Iter[20/486] Loss: 0.254, Acc: 0.984, Base Lr: 1.85e-04 +2023-08-08 11:06:03 transreid.train INFO: Epoch[63] Iter[40/486] Loss: 0.242, Acc: 0.987, Base Lr: 1.85e-04 +2023-08-08 11:06:06 transreid.train INFO: Epoch[63] Iter[60/486] Loss: 0.240, Acc: 0.986, Base Lr: 1.85e-04 +2023-08-08 11:06:09 transreid.train INFO: Epoch[63] Iter[80/486] Loss: 0.238, Acc: 0.987, Base Lr: 1.85e-04 +2023-08-08 11:06:13 transreid.train INFO: Epoch[63] Iter[100/486] Loss: 0.234, Acc: 0.988, Base Lr: 1.85e-04 +2023-08-08 11:06:16 transreid.train INFO: Epoch[63] Iter[120/486] Loss: 0.227, Acc: 0.988, Base Lr: 1.85e-04 +2023-08-08 11:06:19 transreid.train INFO: Epoch[63] Iter[140/486] Loss: 0.223, Acc: 0.989, Base Lr: 1.85e-04 +2023-08-08 11:06:22 transreid.train INFO: Epoch[63] Iter[160/486] Loss: 0.218, Acc: 0.989, Base Lr: 1.85e-04 +2023-08-08 11:06:25 transreid.train INFO: Epoch[63] Iter[180/486] Loss: 0.214, Acc: 0.990, Base Lr: 1.85e-04 +2023-08-08 11:06:29 transreid.train INFO: Epoch[63] Iter[200/486] Loss: 0.211, Acc: 0.990, Base Lr: 1.85e-04 +2023-08-08 11:06:32 transreid.train INFO: Epoch[63] Iter[220/486] Loss: 0.207, Acc: 0.990, Base Lr: 1.85e-04 +2023-08-08 11:06:35 transreid.train INFO: Epoch[63] Iter[240/486] Loss: 0.203, Acc: 0.991, Base Lr: 1.85e-04 +2023-08-08 11:06:38 transreid.train INFO: Epoch[63] Iter[260/486] Loss: 0.203, Acc: 0.991, Base Lr: 1.85e-04 +2023-08-08 11:06:41 transreid.train INFO: Epoch[63] Iter[280/486] Loss: 0.201, Acc: 0.991, Base Lr: 1.85e-04 +2023-08-08 11:06:45 transreid.train INFO: Epoch[63] Iter[300/486] Loss: 0.198, Acc: 0.991, Base Lr: 1.85e-04 +2023-08-08 11:06:48 transreid.train INFO: Epoch[63] Iter[320/486] Loss: 0.195, Acc: 0.991, Base Lr: 1.85e-04 +2023-08-08 11:06:51 transreid.train INFO: Epoch[63] Iter[340/486] Loss: 0.191, Acc: 0.991, Base Lr: 1.85e-04 +2023-08-08 11:06:54 transreid.train INFO: Epoch[63] Iter[360/486] Loss: 0.189, Acc: 0.991, Base Lr: 1.85e-04 +2023-08-08 11:06:57 transreid.train INFO: Epoch[63] Iter[380/486] Loss: 0.185, Acc: 0.992, Base Lr: 1.85e-04 +2023-08-08 11:07:00 transreid.train INFO: Epoch[63] Iter[400/486] Loss: 0.180, Acc: 0.992, Base Lr: 1.85e-04 +2023-08-08 11:07:04 transreid.train INFO: Epoch[63] Iter[420/486] Loss: 0.177, Acc: 0.992, Base Lr: 1.85e-04 +2023-08-08 11:07:07 transreid.train INFO: Epoch[63] Iter[440/486] Loss: 0.173, Acc: 0.992, Base Lr: 1.85e-04 +2023-08-08 11:07:10 transreid.train INFO: Epoch[63] Iter[460/486] Loss: 0.168, Acc: 0.992, Base Lr: 1.85e-04 +2023-08-08 11:07:13 transreid.train INFO: Epoch 63 done. Time per epoch: 76.944[s] Speed: 395.1[samples/s] +2023-08-08 11:07:17 transreid.train INFO: Epoch[64] Iter[20/486] Loss: 0.264, Acc: 0.979, Base Lr: 1.80e-04 +2023-08-08 11:07:20 transreid.train INFO: Epoch[64] Iter[40/486] Loss: 0.250, Acc: 0.984, Base Lr: 1.80e-04 +2023-08-08 11:07:23 transreid.train INFO: Epoch[64] Iter[60/486] Loss: 0.226, Acc: 0.987, Base Lr: 1.80e-04 +2023-08-08 11:07:26 transreid.train INFO: Epoch[64] Iter[80/486] Loss: 0.225, Acc: 0.987, Base Lr: 1.80e-04 +2023-08-08 11:07:29 transreid.train INFO: Epoch[64] Iter[100/486] Loss: 0.216, Acc: 0.987, Base Lr: 1.80e-04 +2023-08-08 11:07:33 transreid.train INFO: Epoch[64] Iter[120/486] Loss: 0.212, Acc: 0.988, Base Lr: 1.80e-04 +2023-08-08 11:07:36 transreid.train INFO: Epoch[64] Iter[140/486] Loss: 0.211, Acc: 0.989, Base Lr: 1.80e-04 +2023-08-08 11:07:39 transreid.train INFO: Epoch[64] Iter[160/486] Loss: 0.207, Acc: 0.989, Base Lr: 1.80e-04 +2023-08-08 11:07:42 transreid.train INFO: Epoch[64] Iter[180/486] Loss: 0.203, Acc: 0.989, Base Lr: 1.80e-04 +2023-08-08 11:07:45 transreid.train INFO: Epoch[64] Iter[200/486] Loss: 0.200, Acc: 0.990, Base Lr: 1.80e-04 +2023-08-08 11:07:48 transreid.train INFO: Epoch[64] Iter[220/486] Loss: 0.195, Acc: 0.990, Base Lr: 1.80e-04 +2023-08-08 11:07:52 transreid.train INFO: Epoch[64] Iter[240/486] Loss: 0.191, Acc: 0.990, Base Lr: 1.80e-04 +2023-08-08 11:07:55 transreid.train INFO: Epoch[64] Iter[260/486] Loss: 0.188, Acc: 0.991, Base Lr: 1.80e-04 +2023-08-08 11:07:58 transreid.train INFO: Epoch[64] Iter[280/486] Loss: 0.186, Acc: 0.991, Base Lr: 1.80e-04 +2023-08-08 11:08:01 transreid.train INFO: Epoch[64] Iter[300/486] Loss: 0.182, Acc: 0.991, Base Lr: 1.80e-04 +2023-08-08 11:08:04 transreid.train INFO: Epoch[64] Iter[320/486] Loss: 0.179, Acc: 0.992, Base Lr: 1.80e-04 +2023-08-08 11:08:08 transreid.train INFO: Epoch[64] Iter[340/486] Loss: 0.177, Acc: 0.992, Base Lr: 1.80e-04 +2023-08-08 11:08:11 transreid.train INFO: Epoch[64] Iter[360/486] Loss: 0.174, Acc: 0.992, Base Lr: 1.80e-04 +2023-08-08 11:08:14 transreid.train INFO: Epoch[64] Iter[380/486] Loss: 0.170, Acc: 0.992, Base Lr: 1.80e-04 +2023-08-08 11:08:17 transreid.train INFO: Epoch[64] Iter[400/486] Loss: 0.168, Acc: 0.992, Base Lr: 1.80e-04 +2023-08-08 11:08:20 transreid.train INFO: Epoch[64] Iter[420/486] Loss: 0.165, Acc: 0.993, Base Lr: 1.80e-04 +2023-08-08 11:08:23 transreid.train INFO: Epoch[64] Iter[440/486] Loss: 0.160, Acc: 0.993, Base Lr: 1.80e-04 +2023-08-08 11:08:27 transreid.train INFO: Epoch[64] Iter[460/486] Loss: 0.157, Acc: 0.993, Base Lr: 1.80e-04 +2023-08-08 11:08:29 transreid.train INFO: Epoch 64 done. Time per epoch: 76.363[s] Speed: 397.3[samples/s] +2023-08-08 11:08:33 transreid.train INFO: Epoch[65] Iter[20/486] Loss: 0.257, Acc: 0.982, Base Lr: 1.74e-04 +2023-08-08 11:08:36 transreid.train INFO: Epoch[65] Iter[40/486] Loss: 0.249, Acc: 0.981, Base Lr: 1.74e-04 +2023-08-08 11:08:39 transreid.train INFO: Epoch[65] Iter[60/486] Loss: 0.228, Acc: 0.985, Base Lr: 1.74e-04 +2023-08-08 11:08:42 transreid.train INFO: Epoch[65] Iter[80/486] Loss: 0.219, Acc: 0.986, Base Lr: 1.74e-04 +2023-08-08 11:08:46 transreid.train INFO: Epoch[65] Iter[100/486] Loss: 0.218, Acc: 0.986, Base Lr: 1.74e-04 +2023-08-08 11:08:49 transreid.train INFO: Epoch[65] Iter[120/486] Loss: 0.223, Acc: 0.985, Base Lr: 1.74e-04 +2023-08-08 11:08:52 transreid.train INFO: Epoch[65] Iter[140/486] Loss: 0.217, Acc: 0.986, Base Lr: 1.74e-04 +2023-08-08 11:08:55 transreid.train INFO: Epoch[65] Iter[160/486] Loss: 0.211, Acc: 0.987, Base Lr: 1.74e-04 +2023-08-08 11:08:58 transreid.train INFO: Epoch[65] Iter[180/486] Loss: 0.207, Acc: 0.988, Base Lr: 1.74e-04 +2023-08-08 11:09:02 transreid.train INFO: Epoch[65] Iter[200/486] Loss: 0.202, Acc: 0.988, Base Lr: 1.74e-04 +2023-08-08 11:09:05 transreid.train INFO: Epoch[65] Iter[220/486] Loss: 0.198, Acc: 0.989, Base Lr: 1.74e-04 +2023-08-08 11:09:08 transreid.train INFO: Epoch[65] Iter[240/486] Loss: 0.197, Acc: 0.989, Base Lr: 1.74e-04 +2023-08-08 11:09:11 transreid.train INFO: Epoch[65] Iter[260/486] Loss: 0.193, Acc: 0.989, Base Lr: 1.74e-04 +2023-08-08 11:09:14 transreid.train INFO: Epoch[65] Iter[280/486] Loss: 0.189, Acc: 0.990, Base Lr: 1.74e-04 +2023-08-08 11:09:17 transreid.train INFO: Epoch[65] Iter[300/486] Loss: 0.184, Acc: 0.990, Base Lr: 1.74e-04 +2023-08-08 11:09:21 transreid.train INFO: Epoch[65] Iter[320/486] Loss: 0.180, Acc: 0.990, Base Lr: 1.74e-04 +2023-08-08 11:09:24 transreid.train INFO: Epoch[65] Iter[340/486] Loss: 0.177, Acc: 0.991, Base Lr: 1.74e-04 +2023-08-08 11:09:27 transreid.train INFO: Epoch[65] Iter[360/486] Loss: 0.175, Acc: 0.991, Base Lr: 1.74e-04 +2023-08-08 11:09:30 transreid.train INFO: Epoch[65] Iter[380/486] Loss: 0.172, Acc: 0.991, Base Lr: 1.74e-04 +2023-08-08 11:09:33 transreid.train INFO: Epoch[65] Iter[400/486] Loss: 0.169, Acc: 0.991, Base Lr: 1.74e-04 +2023-08-08 11:09:36 transreid.train INFO: Epoch[65] Iter[420/486] Loss: 0.166, Acc: 0.991, Base Lr: 1.74e-04 +2023-08-08 11:09:40 transreid.train INFO: Epoch[65] Iter[440/486] Loss: 0.165, Acc: 0.991, Base Lr: 1.74e-04 +2023-08-08 11:09:43 transreid.train INFO: Epoch[65] Iter[460/486] Loss: 0.161, Acc: 0.992, Base Lr: 1.74e-04 +2023-08-08 11:09:45 transreid.train INFO: Epoch 65 done. Time per epoch: 76.145[s] Speed: 397.6[samples/s] +2023-08-08 11:09:49 transreid.train INFO: Epoch[66] Iter[20/486] Loss: 0.233, Acc: 0.987, Base Lr: 1.69e-04 +2023-08-08 11:09:52 transreid.train INFO: Epoch[66] Iter[40/486] Loss: 0.225, Acc: 0.988, Base Lr: 1.69e-04 +2023-08-08 11:09:55 transreid.train INFO: Epoch[66] Iter[60/486] Loss: 0.228, Acc: 0.986, Base Lr: 1.69e-04 +2023-08-08 11:09:59 transreid.train INFO: Epoch[66] Iter[80/486] Loss: 0.229, Acc: 0.986, Base Lr: 1.69e-04 +2023-08-08 11:10:02 transreid.train INFO: Epoch[66] Iter[100/486] Loss: 0.222, Acc: 0.987, Base Lr: 1.69e-04 +2023-08-08 11:10:05 transreid.train INFO: Epoch[66] Iter[120/486] Loss: 0.217, Acc: 0.988, Base Lr: 1.69e-04 +2023-08-08 11:10:08 transreid.train INFO: Epoch[66] Iter[140/486] Loss: 0.209, Acc: 0.989, Base Lr: 1.69e-04 +2023-08-08 11:10:11 transreid.train INFO: Epoch[66] Iter[160/486] Loss: 0.208, Acc: 0.989, Base Lr: 1.69e-04 +2023-08-08 11:10:14 transreid.train INFO: Epoch[66] Iter[180/486] Loss: 0.203, Acc: 0.990, Base Lr: 1.69e-04 +2023-08-08 11:10:18 transreid.train INFO: Epoch[66] Iter[200/486] Loss: 0.201, Acc: 0.990, Base Lr: 1.69e-04 +2023-08-08 11:10:21 transreid.train INFO: Epoch[66] Iter[220/486] Loss: 0.197, Acc: 0.991, Base Lr: 1.69e-04 +2023-08-08 11:10:24 transreid.train INFO: Epoch[66] Iter[240/486] Loss: 0.193, Acc: 0.991, Base Lr: 1.69e-04 +2023-08-08 11:10:27 transreid.train INFO: Epoch[66] Iter[260/486] Loss: 0.193, Acc: 0.991, Base Lr: 1.69e-04 +2023-08-08 11:10:30 transreid.train INFO: Epoch[66] Iter[280/486] Loss: 0.190, Acc: 0.992, Base Lr: 1.69e-04 +2023-08-08 11:10:34 transreid.train INFO: Epoch[66] Iter[300/486] Loss: 0.186, Acc: 0.992, Base Lr: 1.69e-04 +2023-08-08 11:10:37 transreid.train INFO: Epoch[66] Iter[320/486] Loss: 0.184, Acc: 0.992, Base Lr: 1.69e-04 +2023-08-08 11:10:40 transreid.train INFO: Epoch[66] Iter[340/486] Loss: 0.180, Acc: 0.992, Base Lr: 1.69e-04 +2023-08-08 11:10:43 transreid.train INFO: Epoch[66] Iter[360/486] Loss: 0.177, Acc: 0.992, Base Lr: 1.69e-04 +2023-08-08 11:10:46 transreid.train INFO: Epoch[66] Iter[380/486] Loss: 0.172, Acc: 0.993, Base Lr: 1.69e-04 +2023-08-08 11:10:50 transreid.train INFO: Epoch[66] Iter[400/486] Loss: 0.169, Acc: 0.993, Base Lr: 1.69e-04 +2023-08-08 11:10:53 transreid.train INFO: Epoch[66] Iter[420/486] Loss: 0.166, Acc: 0.993, Base Lr: 1.69e-04 +2023-08-08 11:10:56 transreid.train INFO: Epoch[66] Iter[440/486] Loss: 0.163, Acc: 0.993, Base Lr: 1.69e-04 +2023-08-08 11:10:59 transreid.train INFO: Epoch[66] Iter[460/486] Loss: 0.159, Acc: 0.993, Base Lr: 1.69e-04 +2023-08-08 11:11:02 transreid.train INFO: Epoch 66 done. 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Time per epoch: 76.562[s] Speed: 395.4[samples/s] +2023-08-08 11:12:22 transreid.train INFO: Epoch[68] Iter[20/486] Loss: 0.236, Acc: 0.986, Base Lr: 1.59e-04 +2023-08-08 11:12:25 transreid.train INFO: Epoch[68] Iter[40/486] Loss: 0.225, Acc: 0.990, Base Lr: 1.59e-04 +2023-08-08 11:12:29 transreid.train INFO: Epoch[68] Iter[60/486] Loss: 0.216, Acc: 0.990, Base Lr: 1.59e-04 +2023-08-08 11:12:32 transreid.train INFO: Epoch[68] Iter[80/486] Loss: 0.210, Acc: 0.989, Base Lr: 1.59e-04 +2023-08-08 11:12:35 transreid.train INFO: Epoch[68] Iter[100/486] Loss: 0.200, Acc: 0.990, Base Lr: 1.59e-04 +2023-08-08 11:12:38 transreid.train INFO: Epoch[68] Iter[120/486] Loss: 0.199, Acc: 0.990, Base Lr: 1.59e-04 +2023-08-08 11:12:41 transreid.train INFO: Epoch[68] Iter[140/486] Loss: 0.198, Acc: 0.990, Base Lr: 1.59e-04 +2023-08-08 11:12:44 transreid.train INFO: Epoch[68] Iter[160/486] Loss: 0.195, Acc: 0.991, Base Lr: 1.59e-04 +2023-08-08 11:12:48 transreid.train INFO: Epoch[68] Iter[180/486] Loss: 0.191, Acc: 0.991, Base Lr: 1.59e-04 +2023-08-08 11:12:51 transreid.train INFO: Epoch[68] Iter[200/486] Loss: 0.189, Acc: 0.992, Base Lr: 1.59e-04 +2023-08-08 11:12:54 transreid.train INFO: Epoch[68] Iter[220/486] Loss: 0.187, Acc: 0.992, Base Lr: 1.59e-04 +2023-08-08 11:12:57 transreid.train INFO: Epoch[68] Iter[240/486] Loss: 0.181, Acc: 0.992, Base Lr: 1.59e-04 +2023-08-08 11:13:00 transreid.train INFO: Epoch[68] Iter[260/486] Loss: 0.176, Acc: 0.993, Base Lr: 1.59e-04 +2023-08-08 11:13:03 transreid.train INFO: Epoch[68] Iter[280/486] Loss: 0.172, Acc: 0.993, Base Lr: 1.59e-04 +2023-08-08 11:13:07 transreid.train INFO: Epoch[68] Iter[300/486] Loss: 0.169, Acc: 0.993, Base Lr: 1.59e-04 +2023-08-08 11:13:10 transreid.train INFO: Epoch[68] Iter[320/486] Loss: 0.166, Acc: 0.993, Base Lr: 1.59e-04 +2023-08-08 11:13:13 transreid.train INFO: Epoch[68] Iter[340/486] Loss: 0.162, Acc: 0.993, Base Lr: 1.59e-04 +2023-08-08 11:13:16 transreid.train INFO: Epoch[68] Iter[360/486] Loss: 0.158, Acc: 0.994, Base Lr: 1.59e-04 +2023-08-08 11:13:19 transreid.train INFO: Epoch[68] Iter[380/486] Loss: 0.156, Acc: 0.994, Base Lr: 1.59e-04 +2023-08-08 11:13:23 transreid.train INFO: Epoch[68] Iter[400/486] Loss: 0.153, Acc: 0.994, Base Lr: 1.59e-04 +2023-08-08 11:13:26 transreid.train INFO: Epoch[68] Iter[420/486] Loss: 0.150, Acc: 0.994, Base Lr: 1.59e-04 +2023-08-08 11:13:29 transreid.train INFO: Epoch[68] Iter[440/486] Loss: 0.147, Acc: 0.994, Base Lr: 1.59e-04 +2023-08-08 11:13:32 transreid.train INFO: Epoch[68] Iter[460/486] Loss: 0.144, Acc: 0.994, Base Lr: 1.59e-04 +2023-08-08 11:13:34 transreid.train INFO: Epoch 68 done. Time per epoch: 76.292[s] Speed: 396.8[samples/s] +2023-08-08 11:13:39 transreid.train INFO: Epoch[69] Iter[20/486] Loss: 0.191, Acc: 0.992, Base Lr: 1.54e-04 +2023-08-08 11:13:42 transreid.train INFO: Epoch[69] Iter[40/486] Loss: 0.192, Acc: 0.990, Base Lr: 1.54e-04 +2023-08-08 11:13:45 transreid.train INFO: Epoch[69] Iter[60/486] Loss: 0.194, Acc: 0.991, Base Lr: 1.54e-04 +2023-08-08 11:13:48 transreid.train INFO: Epoch[69] Iter[80/486] Loss: 0.188, Acc: 0.992, Base Lr: 1.54e-04 +2023-08-08 11:13:51 transreid.train INFO: Epoch[69] Iter[100/486] Loss: 0.195, Acc: 0.991, Base Lr: 1.54e-04 +2023-08-08 11:13:54 transreid.train INFO: Epoch[69] Iter[120/486] Loss: 0.190, Acc: 0.992, Base Lr: 1.54e-04 +2023-08-08 11:13:58 transreid.train INFO: Epoch[69] Iter[140/486] Loss: 0.188, Acc: 0.992, Base Lr: 1.54e-04 +2023-08-08 11:14:01 transreid.train INFO: Epoch[69] Iter[160/486] Loss: 0.185, Acc: 0.992, Base Lr: 1.54e-04 +2023-08-08 11:14:04 transreid.train INFO: Epoch[69] Iter[180/486] Loss: 0.181, Acc: 0.992, Base Lr: 1.54e-04 +2023-08-08 11:14:07 transreid.train INFO: Epoch[69] Iter[200/486] Loss: 0.180, Acc: 0.992, Base Lr: 1.54e-04 +2023-08-08 11:14:11 transreid.train INFO: Epoch[69] Iter[220/486] Loss: 0.175, Acc: 0.992, Base Lr: 1.54e-04 +2023-08-08 11:14:14 transreid.train INFO: Epoch[69] Iter[240/486] Loss: 0.174, Acc: 0.993, Base Lr: 1.54e-04 +2023-08-08 11:14:17 transreid.train INFO: Epoch[69] Iter[260/486] Loss: 0.171, Acc: 0.993, Base Lr: 1.54e-04 +2023-08-08 11:14:20 transreid.train INFO: Epoch[69] Iter[280/486] Loss: 0.166, Acc: 0.993, Base Lr: 1.54e-04 +2023-08-08 11:14:23 transreid.train INFO: Epoch[69] Iter[300/486] Loss: 0.163, Acc: 0.993, Base Lr: 1.54e-04 +2023-08-08 11:14:26 transreid.train INFO: Epoch[69] Iter[320/486] Loss: 0.160, Acc: 0.993, Base Lr: 1.54e-04 +2023-08-08 11:14:30 transreid.train INFO: Epoch[69] Iter[340/486] Loss: 0.157, Acc: 0.993, Base Lr: 1.54e-04 +2023-08-08 11:14:33 transreid.train INFO: Epoch[69] Iter[360/486] Loss: 0.154, Acc: 0.994, Base Lr: 1.54e-04 +2023-08-08 11:14:36 transreid.train INFO: Epoch[69] Iter[380/486] Loss: 0.151, Acc: 0.994, Base Lr: 1.54e-04 +2023-08-08 11:14:39 transreid.train INFO: Epoch[69] Iter[400/486] Loss: 0.148, Acc: 0.994, Base Lr: 1.54e-04 +2023-08-08 11:14:42 transreid.train INFO: Epoch[69] Iter[420/486] Loss: 0.146, Acc: 0.994, Base Lr: 1.54e-04 +2023-08-08 11:14:46 transreid.train INFO: Epoch[69] Iter[440/486] Loss: 0.143, Acc: 0.994, Base Lr: 1.54e-04 +2023-08-08 11:14:49 transreid.train INFO: Epoch[69] Iter[460/486] Loss: 0.141, Acc: 0.994, Base Lr: 1.54e-04 +2023-08-08 11:14:51 transreid.train INFO: Epoch 69 done. Time per epoch: 76.783[s] Speed: 395.1[samples/s] +2023-08-08 11:14:55 transreid.train INFO: Epoch[70] Iter[20/486] Loss: 0.192, Acc: 0.989, Base Lr: 1.49e-04 +2023-08-08 11:14:59 transreid.train INFO: Epoch[70] Iter[40/486] Loss: 0.210, Acc: 0.988, Base Lr: 1.49e-04 +2023-08-08 11:15:02 transreid.train INFO: Epoch[70] Iter[60/486] Loss: 0.207, Acc: 0.988, Base Lr: 1.49e-04 +2023-08-08 11:15:05 transreid.train INFO: Epoch[70] Iter[80/486] Loss: 0.202, Acc: 0.989, Base Lr: 1.49e-04 +2023-08-08 11:15:08 transreid.train INFO: Epoch[70] Iter[100/486] Loss: 0.195, Acc: 0.990, Base Lr: 1.49e-04 +2023-08-08 11:15:11 transreid.train INFO: Epoch[70] Iter[120/486] Loss: 0.191, Acc: 0.991, Base Lr: 1.49e-04 +2023-08-08 11:15:14 transreid.train INFO: Epoch[70] Iter[140/486] Loss: 0.189, Acc: 0.991, Base Lr: 1.49e-04 +2023-08-08 11:15:18 transreid.train INFO: Epoch[70] Iter[160/486] Loss: 0.186, Acc: 0.992, Base Lr: 1.49e-04 +2023-08-08 11:15:21 transreid.train INFO: Epoch[70] Iter[180/486] Loss: 0.178, Acc: 0.992, Base Lr: 1.49e-04 +2023-08-08 11:15:24 transreid.train INFO: Epoch[70] Iter[200/486] Loss: 0.178, Acc: 0.992, Base Lr: 1.49e-04 +2023-08-08 11:15:27 transreid.train INFO: Epoch[70] Iter[220/486] Loss: 0.181, Acc: 0.992, Base Lr: 1.49e-04 +2023-08-08 11:15:30 transreid.train INFO: Epoch[70] Iter[240/486] Loss: 0.176, Acc: 0.993, Base Lr: 1.49e-04 +2023-08-08 11:15:34 transreid.train INFO: Epoch[70] Iter[260/486] Loss: 0.172, Acc: 0.993, Base Lr: 1.49e-04 +2023-08-08 11:15:37 transreid.train INFO: Epoch[70] Iter[280/486] Loss: 0.171, Acc: 0.993, Base Lr: 1.49e-04 +2023-08-08 11:15:40 transreid.train INFO: Epoch[70] Iter[300/486] Loss: 0.167, Acc: 0.993, Base Lr: 1.49e-04 +2023-08-08 11:15:43 transreid.train INFO: Epoch[70] Iter[320/486] Loss: 0.164, Acc: 0.993, Base Lr: 1.49e-04 +2023-08-08 11:15:47 transreid.train INFO: Epoch[70] Iter[340/486] Loss: 0.161, Acc: 0.993, Base Lr: 1.49e-04 +2023-08-08 11:15:50 transreid.train INFO: Epoch[70] Iter[360/486] Loss: 0.157, Acc: 0.994, Base Lr: 1.49e-04 +2023-08-08 11:15:53 transreid.train INFO: Epoch[70] Iter[380/486] Loss: 0.154, Acc: 0.994, Base Lr: 1.49e-04 +2023-08-08 11:15:56 transreid.train INFO: Epoch[70] Iter[400/486] Loss: 0.151, Acc: 0.994, Base Lr: 1.49e-04 +2023-08-08 11:15:59 transreid.train INFO: Epoch[70] Iter[420/486] Loss: 0.148, Acc: 0.994, Base Lr: 1.49e-04 +2023-08-08 11:16:03 transreid.train INFO: Epoch[70] Iter[440/486] Loss: 0.145, Acc: 0.994, Base Lr: 1.49e-04 +2023-08-08 11:16:06 transreid.train INFO: Epoch[70] Iter[460/486] Loss: 0.142, Acc: 0.994, Base Lr: 1.49e-04 +2023-08-08 11:16:08 transreid.train INFO: Epoch 70 done. Time per epoch: 76.838[s] Speed: 394.0[samples/s] +2023-08-08 11:16:12 transreid.train INFO: Epoch[71] Iter[20/486] Loss: 0.238, Acc: 0.977, Base Lr: 1.44e-04 +2023-08-08 11:16:15 transreid.train INFO: Epoch[71] Iter[40/486] Loss: 0.210, Acc: 0.984, Base Lr: 1.44e-04 +2023-08-08 11:16:18 transreid.train INFO: Epoch[71] Iter[60/486] Loss: 0.221, Acc: 0.985, Base Lr: 1.44e-04 +2023-08-08 11:16:22 transreid.train INFO: Epoch[71] Iter[80/486] Loss: 0.210, Acc: 0.988, Base Lr: 1.44e-04 +2023-08-08 11:16:25 transreid.train INFO: Epoch[71] Iter[100/486] Loss: 0.202, Acc: 0.988, Base Lr: 1.44e-04 +2023-08-08 11:16:28 transreid.train INFO: Epoch[71] Iter[120/486] Loss: 0.200, Acc: 0.989, Base Lr: 1.44e-04 +2023-08-08 11:16:31 transreid.train INFO: Epoch[71] Iter[140/486] Loss: 0.196, Acc: 0.989, Base Lr: 1.44e-04 +2023-08-08 11:16:34 transreid.train INFO: Epoch[71] Iter[160/486] Loss: 0.191, Acc: 0.990, Base Lr: 1.44e-04 +2023-08-08 11:16:38 transreid.train INFO: Epoch[71] Iter[180/486] Loss: 0.185, Acc: 0.990, Base Lr: 1.44e-04 +2023-08-08 11:16:41 transreid.train INFO: Epoch[71] Iter[200/486] Loss: 0.180, Acc: 0.990, Base Lr: 1.44e-04 +2023-08-08 11:16:44 transreid.train INFO: Epoch[71] Iter[220/486] Loss: 0.175, Acc: 0.991, Base Lr: 1.44e-04 +2023-08-08 11:16:47 transreid.train INFO: Epoch[71] Iter[240/486] Loss: 0.173, Acc: 0.991, Base Lr: 1.44e-04 +2023-08-08 11:16:50 transreid.train INFO: Epoch[71] Iter[260/486] Loss: 0.169, Acc: 0.991, Base Lr: 1.44e-04 +2023-08-08 11:16:54 transreid.train INFO: Epoch[71] Iter[280/486] Loss: 0.164, Acc: 0.992, Base Lr: 1.44e-04 +2023-08-08 11:16:57 transreid.train INFO: Epoch[71] Iter[300/486] Loss: 0.161, Acc: 0.992, Base Lr: 1.44e-04 +2023-08-08 11:17:00 transreid.train INFO: Epoch[71] Iter[320/486] Loss: 0.159, Acc: 0.992, Base Lr: 1.44e-04 +2023-08-08 11:17:03 transreid.train INFO: Epoch[71] Iter[340/486] Loss: 0.160, Acc: 0.992, Base Lr: 1.44e-04 +2023-08-08 11:17:06 transreid.train INFO: Epoch[71] Iter[360/486] Loss: 0.156, Acc: 0.992, Base Lr: 1.44e-04 +2023-08-08 11:17:09 transreid.train INFO: Epoch[71] Iter[380/486] Loss: 0.153, Acc: 0.993, Base Lr: 1.44e-04 +2023-08-08 11:17:13 transreid.train INFO: Epoch[71] Iter[400/486] Loss: 0.152, Acc: 0.993, Base Lr: 1.44e-04 +2023-08-08 11:17:16 transreid.train INFO: Epoch[71] Iter[420/486] Loss: 0.148, Acc: 0.993, Base Lr: 1.44e-04 +2023-08-08 11:17:19 transreid.train INFO: Epoch[71] Iter[440/486] Loss: 0.146, Acc: 0.993, Base Lr: 1.44e-04 +2023-08-08 11:17:22 transreid.train INFO: Epoch[71] Iter[460/486] Loss: 0.143, Acc: 0.993, Base Lr: 1.44e-04 +2023-08-08 11:17:24 transreid.train INFO: Epoch 71 done. Time per epoch: 76.206[s] Speed: 396.4[samples/s] +2023-08-08 11:17:28 transreid.train INFO: Epoch[72] Iter[20/486] Loss: 0.205, Acc: 0.986, Base Lr: 1.39e-04 +2023-08-08 11:17:31 transreid.train INFO: Epoch[72] Iter[40/486] Loss: 0.201, Acc: 0.988, Base Lr: 1.39e-04 +2023-08-08 11:17:35 transreid.train INFO: Epoch[72] Iter[60/486] Loss: 0.188, Acc: 0.991, Base Lr: 1.39e-04 +2023-08-08 11:17:38 transreid.train INFO: Epoch[72] Iter[80/486] Loss: 0.184, Acc: 0.991, Base Lr: 1.39e-04 +2023-08-08 11:17:41 transreid.train INFO: Epoch[72] Iter[100/486] Loss: 0.185, Acc: 0.990, Base Lr: 1.39e-04 +2023-08-08 11:17:44 transreid.train INFO: Epoch[72] Iter[120/486] Loss: 0.183, Acc: 0.991, Base Lr: 1.39e-04 +2023-08-08 11:17:47 transreid.train INFO: Epoch[72] Iter[140/486] Loss: 0.179, Acc: 0.991, Base Lr: 1.39e-04 +2023-08-08 11:17:51 transreid.train INFO: Epoch[72] Iter[160/486] Loss: 0.175, Acc: 0.992, Base Lr: 1.39e-04 +2023-08-08 11:17:54 transreid.train INFO: Epoch[72] Iter[180/486] Loss: 0.172, Acc: 0.992, Base Lr: 1.39e-04 +2023-08-08 11:17:57 transreid.train INFO: Epoch[72] Iter[200/486] Loss: 0.171, Acc: 0.992, Base Lr: 1.39e-04 +2023-08-08 11:18:00 transreid.train INFO: Epoch[72] Iter[220/486] Loss: 0.170, Acc: 0.992, Base Lr: 1.39e-04 +2023-08-08 11:18:03 transreid.train INFO: Epoch[72] Iter[240/486] Loss: 0.165, Acc: 0.992, Base Lr: 1.39e-04 +2023-08-08 11:18:07 transreid.train INFO: Epoch[72] Iter[260/486] Loss: 0.161, Acc: 0.993, Base Lr: 1.39e-04 +2023-08-08 11:18:10 transreid.train INFO: Epoch[72] Iter[280/486] Loss: 0.162, Acc: 0.993, Base Lr: 1.39e-04 +2023-08-08 11:18:13 transreid.train INFO: Epoch[72] Iter[300/486] Loss: 0.162, Acc: 0.993, Base Lr: 1.39e-04 +2023-08-08 11:18:16 transreid.train INFO: Epoch[72] Iter[320/486] Loss: 0.159, Acc: 0.993, Base Lr: 1.39e-04 +2023-08-08 11:18:19 transreid.train INFO: Epoch[72] Iter[340/486] Loss: 0.157, Acc: 0.993, Base Lr: 1.39e-04 +2023-08-08 11:18:22 transreid.train INFO: Epoch[72] Iter[360/486] Loss: 0.154, Acc: 0.993, Base Lr: 1.39e-04 +2023-08-08 11:18:26 transreid.train INFO: Epoch[72] Iter[380/486] Loss: 0.150, Acc: 0.993, Base Lr: 1.39e-04 +2023-08-08 11:18:29 transreid.train INFO: Epoch[72] Iter[400/486] Loss: 0.147, Acc: 0.993, Base Lr: 1.39e-04 +2023-08-08 11:18:32 transreid.train INFO: Epoch[72] Iter[420/486] Loss: 0.145, Acc: 0.994, Base Lr: 1.39e-04 +2023-08-08 11:18:35 transreid.train INFO: Epoch[72] Iter[440/486] Loss: 0.141, Acc: 0.994, Base Lr: 1.39e-04 +2023-08-08 11:18:38 transreid.train INFO: Epoch[72] Iter[460/486] Loss: 0.138, Acc: 0.994, Base Lr: 1.39e-04 +2023-08-08 11:18:40 transreid.train INFO: Epoch 72 done. Time per epoch: 76.258[s] Speed: 397.0[samples/s] +2023-08-08 11:18:45 transreid.train INFO: Epoch[73] Iter[20/486] Loss: 0.171, Acc: 0.995, Base Lr: 1.34e-04 +2023-08-08 11:18:48 transreid.train INFO: Epoch[73] Iter[40/486] Loss: 0.180, Acc: 0.989, Base Lr: 1.34e-04 +2023-08-08 11:18:51 transreid.train INFO: Epoch[73] Iter[60/486] Loss: 0.175, Acc: 0.990, Base Lr: 1.34e-04 +2023-08-08 11:18:54 transreid.train INFO: Epoch[73] Iter[80/486] Loss: 0.174, Acc: 0.990, Base Lr: 1.34e-04 +2023-08-08 11:18:57 transreid.train INFO: Epoch[73] Iter[100/486] Loss: 0.169, Acc: 0.991, Base Lr: 1.34e-04 +2023-08-08 11:19:00 transreid.train INFO: Epoch[73] Iter[120/486] Loss: 0.166, Acc: 0.991, Base Lr: 1.34e-04 +2023-08-08 11:19:04 transreid.train INFO: Epoch[73] Iter[140/486] Loss: 0.168, Acc: 0.991, Base Lr: 1.34e-04 +2023-08-08 11:19:07 transreid.train INFO: Epoch[73] Iter[160/486] Loss: 0.164, Acc: 0.991, Base Lr: 1.34e-04 +2023-08-08 11:19:10 transreid.train INFO: Epoch[73] Iter[180/486] Loss: 0.160, Acc: 0.992, Base Lr: 1.34e-04 +2023-08-08 11:19:13 transreid.train INFO: Epoch[73] Iter[200/486] Loss: 0.157, Acc: 0.993, Base Lr: 1.34e-04 +2023-08-08 11:19:16 transreid.train INFO: Epoch[73] Iter[220/486] Loss: 0.156, Acc: 0.993, Base Lr: 1.34e-04 +2023-08-08 11:19:20 transreid.train INFO: Epoch[73] Iter[240/486] Loss: 0.154, Acc: 0.993, Base Lr: 1.34e-04 +2023-08-08 11:19:23 transreid.train INFO: Epoch[73] Iter[260/486] Loss: 0.153, Acc: 0.993, Base Lr: 1.34e-04 +2023-08-08 11:19:26 transreid.train INFO: Epoch[73] Iter[280/486] Loss: 0.149, Acc: 0.993, Base Lr: 1.34e-04 +2023-08-08 11:19:29 transreid.train INFO: Epoch[73] Iter[300/486] Loss: 0.148, Acc: 0.993, Base Lr: 1.34e-04 +2023-08-08 11:19:32 transreid.train INFO: Epoch[73] Iter[320/486] Loss: 0.145, Acc: 0.994, Base Lr: 1.34e-04 +2023-08-08 11:19:36 transreid.train INFO: Epoch[73] Iter[340/486] Loss: 0.143, Acc: 0.994, Base Lr: 1.34e-04 +2023-08-08 11:19:39 transreid.train INFO: Epoch[73] Iter[360/486] Loss: 0.141, Acc: 0.994, Base Lr: 1.34e-04 +2023-08-08 11:19:42 transreid.train INFO: Epoch[73] Iter[380/486] Loss: 0.139, Acc: 0.994, Base Lr: 1.34e-04 +2023-08-08 11:19:45 transreid.train INFO: Epoch[73] Iter[400/486] Loss: 0.137, Acc: 0.994, Base Lr: 1.34e-04 +2023-08-08 11:19:48 transreid.train INFO: Epoch[73] Iter[420/486] Loss: 0.134, Acc: 0.994, Base Lr: 1.34e-04 +2023-08-08 11:19:52 transreid.train INFO: Epoch[73] Iter[440/486] Loss: 0.131, Acc: 0.994, Base Lr: 1.34e-04 +2023-08-08 11:19:55 transreid.train INFO: Epoch[73] Iter[460/486] Loss: 0.129, Acc: 0.994, Base Lr: 1.34e-04 +2023-08-08 11:19:57 transreid.train INFO: Epoch 73 done. Time per epoch: 76.569[s] Speed: 395.4[samples/s] +2023-08-08 11:20:01 transreid.train INFO: Epoch[74] Iter[20/486] Loss: 0.241, Acc: 0.988, Base Lr: 1.29e-04 +2023-08-08 11:20:04 transreid.train INFO: Epoch[74] Iter[40/486] Loss: 0.221, Acc: 0.991, Base Lr: 1.29e-04 +2023-08-08 11:20:07 transreid.train INFO: Epoch[74] Iter[60/486] Loss: 0.210, Acc: 0.990, Base Lr: 1.29e-04 +2023-08-08 11:20:11 transreid.train INFO: Epoch[74] Iter[80/486] Loss: 0.207, Acc: 0.989, Base Lr: 1.29e-04 +2023-08-08 11:20:14 transreid.train INFO: Epoch[74] Iter[100/486] Loss: 0.196, Acc: 0.991, Base Lr: 1.29e-04 +2023-08-08 11:20:17 transreid.train INFO: Epoch[74] Iter[120/486] Loss: 0.187, Acc: 0.991, Base Lr: 1.29e-04 +2023-08-08 11:20:20 transreid.train INFO: Epoch[74] Iter[140/486] Loss: 0.185, Acc: 0.992, Base Lr: 1.29e-04 +2023-08-08 11:20:23 transreid.train INFO: Epoch[74] Iter[160/486] Loss: 0.181, Acc: 0.992, Base Lr: 1.29e-04 +2023-08-08 11:20:27 transreid.train INFO: Epoch[74] Iter[180/486] Loss: 0.179, Acc: 0.992, Base Lr: 1.29e-04 +2023-08-08 11:20:30 transreid.train INFO: Epoch[74] Iter[200/486] Loss: 0.179, Acc: 0.993, Base Lr: 1.29e-04 +2023-08-08 11:20:33 transreid.train INFO: Epoch[74] Iter[220/486] Loss: 0.175, Acc: 0.992, Base Lr: 1.29e-04 +2023-08-08 11:20:36 transreid.train INFO: Epoch[74] Iter[240/486] Loss: 0.171, Acc: 0.992, Base Lr: 1.29e-04 +2023-08-08 11:20:39 transreid.train INFO: Epoch[74] Iter[260/486] Loss: 0.170, Acc: 0.992, Base Lr: 1.29e-04 +2023-08-08 11:20:42 transreid.train INFO: Epoch[74] Iter[280/486] Loss: 0.169, Acc: 0.992, Base Lr: 1.29e-04 +2023-08-08 11:20:46 transreid.train INFO: Epoch[74] Iter[300/486] Loss: 0.166, Acc: 0.993, Base Lr: 1.29e-04 +2023-08-08 11:20:49 transreid.train INFO: Epoch[74] Iter[320/486] Loss: 0.163, Acc: 0.993, Base Lr: 1.29e-04 +2023-08-08 11:20:52 transreid.train INFO: Epoch[74] Iter[340/486] Loss: 0.159, Acc: 0.993, Base Lr: 1.29e-04 +2023-08-08 11:20:55 transreid.train INFO: Epoch[74] Iter[360/486] Loss: 0.157, Acc: 0.993, Base Lr: 1.29e-04 +2023-08-08 11:20:58 transreid.train INFO: Epoch[74] Iter[380/486] Loss: 0.155, Acc: 0.993, Base Lr: 1.29e-04 +2023-08-08 11:21:02 transreid.train INFO: Epoch[74] Iter[400/486] Loss: 0.152, Acc: 0.993, Base Lr: 1.29e-04 +2023-08-08 11:21:05 transreid.train INFO: Epoch[74] Iter[420/486] Loss: 0.149, Acc: 0.993, Base Lr: 1.29e-04 +2023-08-08 11:21:08 transreid.train INFO: Epoch[74] Iter[440/486] Loss: 0.145, Acc: 0.993, Base Lr: 1.29e-04 +2023-08-08 11:21:11 transreid.train INFO: Epoch[74] Iter[460/486] Loss: 0.142, Acc: 0.993, Base Lr: 1.29e-04 +2023-08-08 11:21:13 transreid.train INFO: Epoch 74 done. Time per epoch: 76.366[s] Speed: 396.4[samples/s] +2023-08-08 11:21:17 transreid.train INFO: Epoch[75] Iter[20/486] Loss: 0.171, Acc: 0.992, Base Lr: 1.24e-04 +2023-08-08 11:21:21 transreid.train INFO: Epoch[75] Iter[40/486] Loss: 0.172, Acc: 0.992, Base Lr: 1.24e-04 +2023-08-08 11:21:24 transreid.train INFO: Epoch[75] Iter[60/486] Loss: 0.185, Acc: 0.990, Base Lr: 1.24e-04 +2023-08-08 11:21:27 transreid.train INFO: Epoch[75] Iter[80/486] Loss: 0.184, Acc: 0.990, Base Lr: 1.24e-04 +2023-08-08 11:21:30 transreid.train INFO: Epoch[75] Iter[100/486] Loss: 0.179, Acc: 0.991, Base Lr: 1.24e-04 +2023-08-08 11:21:33 transreid.train INFO: Epoch[75] Iter[120/486] Loss: 0.177, Acc: 0.991, Base Lr: 1.24e-04 +2023-08-08 11:21:36 transreid.train INFO: Epoch[75] Iter[140/486] Loss: 0.174, Acc: 0.992, Base Lr: 1.24e-04 +2023-08-08 11:21:40 transreid.train INFO: Epoch[75] Iter[160/486] Loss: 0.172, Acc: 0.991, Base Lr: 1.24e-04 +2023-08-08 11:21:43 transreid.train INFO: Epoch[75] Iter[180/486] Loss: 0.170, Acc: 0.991, Base Lr: 1.24e-04 +2023-08-08 11:21:46 transreid.train INFO: Epoch[75] Iter[200/486] Loss: 0.166, Acc: 0.992, Base Lr: 1.24e-04 +2023-08-08 11:21:49 transreid.train INFO: Epoch[75] Iter[220/486] Loss: 0.162, Acc: 0.992, Base Lr: 1.24e-04 +2023-08-08 11:21:52 transreid.train INFO: Epoch[75] Iter[240/486] Loss: 0.160, Acc: 0.992, Base Lr: 1.24e-04 +2023-08-08 11:21:56 transreid.train INFO: Epoch[75] Iter[260/486] Loss: 0.158, Acc: 0.992, Base Lr: 1.24e-04 +2023-08-08 11:21:59 transreid.train INFO: Epoch[75] Iter[280/486] Loss: 0.155, Acc: 0.992, Base Lr: 1.24e-04 +2023-08-08 11:22:02 transreid.train INFO: Epoch[75] Iter[300/486] Loss: 0.151, Acc: 0.993, Base Lr: 1.24e-04 +2023-08-08 11:22:05 transreid.train INFO: Epoch[75] Iter[320/486] Loss: 0.149, Acc: 0.993, Base Lr: 1.24e-04 +2023-08-08 11:22:08 transreid.train INFO: Epoch[75] Iter[340/486] Loss: 0.146, Acc: 0.993, Base Lr: 1.24e-04 +2023-08-08 11:22:11 transreid.train INFO: Epoch[75] Iter[360/486] Loss: 0.143, Acc: 0.993, Base Lr: 1.24e-04 +2023-08-08 11:22:15 transreid.train INFO: Epoch[75] Iter[380/486] Loss: 0.141, Acc: 0.993, Base Lr: 1.24e-04 +2023-08-08 11:22:18 transreid.train INFO: Epoch[75] Iter[400/486] Loss: 0.140, Acc: 0.993, Base Lr: 1.24e-04 +2023-08-08 11:22:21 transreid.train INFO: Epoch[75] Iter[420/486] Loss: 0.138, Acc: 0.993, Base Lr: 1.24e-04 +2023-08-08 11:22:24 transreid.train INFO: Epoch[75] Iter[440/486] Loss: 0.136, Acc: 0.994, Base Lr: 1.24e-04 +2023-08-08 11:22:27 transreid.train INFO: Epoch[75] Iter[460/486] Loss: 0.133, Acc: 0.994, Base Lr: 1.24e-04 +2023-08-08 11:22:30 transreid.train INFO: Epoch 75 done. Time per epoch: 76.127[s] Speed: 396.8[samples/s] +2023-08-08 11:22:34 transreid.train INFO: Epoch[76] Iter[20/486] Loss: 0.201, Acc: 0.986, Base Lr: 1.19e-04 +2023-08-08 11:22:37 transreid.train INFO: Epoch[76] Iter[40/486] Loss: 0.181, Acc: 0.990, Base Lr: 1.19e-04 +2023-08-08 11:22:40 transreid.train INFO: Epoch[76] Iter[60/486] Loss: 0.181, Acc: 0.990, Base Lr: 1.19e-04 +2023-08-08 11:22:43 transreid.train INFO: Epoch[76] Iter[80/486] Loss: 0.171, Acc: 0.992, Base Lr: 1.19e-04 +2023-08-08 11:22:46 transreid.train INFO: Epoch[76] Iter[100/486] Loss: 0.172, Acc: 0.992, Base Lr: 1.19e-04 +2023-08-08 11:22:50 transreid.train INFO: Epoch[76] Iter[120/486] Loss: 0.168, Acc: 0.992, Base Lr: 1.19e-04 +2023-08-08 11:22:53 transreid.train INFO: Epoch[76] Iter[140/486] Loss: 0.167, Acc: 0.992, Base Lr: 1.19e-04 +2023-08-08 11:22:56 transreid.train INFO: Epoch[76] Iter[160/486] Loss: 0.163, Acc: 0.992, Base Lr: 1.19e-04 +2023-08-08 11:22:59 transreid.train INFO: Epoch[76] Iter[180/486] Loss: 0.160, Acc: 0.992, Base Lr: 1.19e-04 +2023-08-08 11:23:02 transreid.train INFO: Epoch[76] Iter[200/486] Loss: 0.158, Acc: 0.993, Base Lr: 1.19e-04 +2023-08-08 11:23:06 transreid.train INFO: Epoch[76] Iter[220/486] Loss: 0.155, Acc: 0.993, Base Lr: 1.19e-04 +2023-08-08 11:23:09 transreid.train INFO: Epoch[76] Iter[240/486] Loss: 0.153, Acc: 0.993, Base Lr: 1.19e-04 +2023-08-08 11:23:12 transreid.train INFO: Epoch[76] Iter[260/486] Loss: 0.150, Acc: 0.993, Base Lr: 1.19e-04 +2023-08-08 11:23:15 transreid.train INFO: Epoch[76] Iter[280/486] Loss: 0.147, Acc: 0.994, Base Lr: 1.19e-04 +2023-08-08 11:23:18 transreid.train INFO: Epoch[76] Iter[300/486] Loss: 0.144, Acc: 0.994, Base Lr: 1.19e-04 +2023-08-08 11:23:21 transreid.train INFO: Epoch[76] Iter[320/486] Loss: 0.144, Acc: 0.993, Base Lr: 1.19e-04 +2023-08-08 11:23:25 transreid.train INFO: Epoch[76] Iter[340/486] Loss: 0.141, Acc: 0.994, Base Lr: 1.19e-04 +2023-08-08 11:23:28 transreid.train INFO: Epoch[76] Iter[360/486] Loss: 0.138, Acc: 0.994, Base Lr: 1.19e-04 +2023-08-08 11:23:31 transreid.train INFO: Epoch[76] Iter[380/486] Loss: 0.135, Acc: 0.994, Base Lr: 1.19e-04 +2023-08-08 11:23:34 transreid.train INFO: Epoch[76] Iter[400/486] Loss: 0.133, Acc: 0.994, Base Lr: 1.19e-04 +2023-08-08 11:23:37 transreid.train INFO: Epoch[76] Iter[420/486] Loss: 0.130, Acc: 0.994, Base Lr: 1.19e-04 +2023-08-08 11:23:41 transreid.train INFO: Epoch[76] Iter[440/486] Loss: 0.127, Acc: 0.994, Base Lr: 1.19e-04 +2023-08-08 11:23:44 transreid.train INFO: Epoch[76] Iter[460/486] Loss: 0.124, Acc: 0.994, Base Lr: 1.19e-04 +2023-08-08 11:23:46 transreid.train INFO: Epoch 76 done. Time per epoch: 76.500[s] Speed: 396.6[samples/s] +2023-08-08 11:23:50 transreid.train INFO: Epoch[77] Iter[20/486] Loss: 0.161, Acc: 0.995, Base Lr: 1.14e-04 +2023-08-08 11:23:53 transreid.train INFO: Epoch[77] Iter[40/486] Loss: 0.163, Acc: 0.991, Base Lr: 1.14e-04 +2023-08-08 11:23:56 transreid.train INFO: Epoch[77] Iter[60/486] Loss: 0.170, Acc: 0.990, Base Lr: 1.14e-04 +2023-08-08 11:24:00 transreid.train INFO: Epoch[77] Iter[80/486] Loss: 0.165, Acc: 0.991, Base Lr: 1.14e-04 +2023-08-08 11:24:03 transreid.train INFO: Epoch[77] Iter[100/486] Loss: 0.162, Acc: 0.991, Base Lr: 1.14e-04 +2023-08-08 11:24:06 transreid.train INFO: Epoch[77] Iter[120/486] Loss: 0.158, Acc: 0.992, Base Lr: 1.14e-04 +2023-08-08 11:24:09 transreid.train INFO: Epoch[77] Iter[140/486] Loss: 0.154, Acc: 0.992, Base Lr: 1.14e-04 +2023-08-08 11:24:12 transreid.train INFO: Epoch[77] Iter[160/486] Loss: 0.154, Acc: 0.992, Base Lr: 1.14e-04 +2023-08-08 11:24:16 transreid.train INFO: Epoch[77] Iter[180/486] Loss: 0.156, Acc: 0.992, Base Lr: 1.14e-04 +2023-08-08 11:24:19 transreid.train INFO: Epoch[77] Iter[200/486] Loss: 0.154, Acc: 0.993, Base Lr: 1.14e-04 +2023-08-08 11:24:22 transreid.train INFO: Epoch[77] Iter[220/486] Loss: 0.151, Acc: 0.993, Base Lr: 1.14e-04 +2023-08-08 11:24:25 transreid.train INFO: Epoch[77] Iter[240/486] Loss: 0.149, Acc: 0.993, Base Lr: 1.14e-04 +2023-08-08 11:24:28 transreid.train INFO: Epoch[77] Iter[260/486] Loss: 0.146, Acc: 0.993, Base Lr: 1.14e-04 +2023-08-08 11:24:31 transreid.train INFO: Epoch[77] Iter[280/486] Loss: 0.144, Acc: 0.993, Base Lr: 1.14e-04 +2023-08-08 11:24:35 transreid.train INFO: Epoch[77] Iter[300/486] Loss: 0.142, Acc: 0.994, Base Lr: 1.14e-04 +2023-08-08 11:24:38 transreid.train INFO: Epoch[77] Iter[320/486] Loss: 0.140, Acc: 0.994, Base Lr: 1.14e-04 +2023-08-08 11:24:41 transreid.train INFO: Epoch[77] Iter[340/486] Loss: 0.139, Acc: 0.994, Base Lr: 1.14e-04 +2023-08-08 11:24:44 transreid.train INFO: Epoch[77] Iter[360/486] Loss: 0.137, Acc: 0.994, Base Lr: 1.14e-04 +2023-08-08 11:24:47 transreid.train INFO: Epoch[77] Iter[380/486] Loss: 0.134, Acc: 0.994, Base Lr: 1.14e-04 +2023-08-08 11:24:50 transreid.train INFO: Epoch[77] Iter[400/486] Loss: 0.132, Acc: 0.994, Base Lr: 1.14e-04 +2023-08-08 11:24:54 transreid.train INFO: Epoch[77] Iter[420/486] Loss: 0.129, Acc: 0.994, Base Lr: 1.14e-04 +2023-08-08 11:24:57 transreid.train INFO: Epoch[77] Iter[440/486] Loss: 0.128, Acc: 0.994, Base Lr: 1.14e-04 +2023-08-08 11:25:00 transreid.train INFO: Epoch[77] Iter[460/486] Loss: 0.125, Acc: 0.994, Base Lr: 1.14e-04 +2023-08-08 11:25:02 transreid.train INFO: Epoch 77 done. Time per epoch: 76.398[s] Speed: 397.1[samples/s] +2023-08-08 11:25:07 transreid.train INFO: Epoch[78] Iter[20/486] Loss: 0.176, Acc: 0.988, Base Lr: 1.10e-04 +2023-08-08 11:25:10 transreid.train INFO: Epoch[78] Iter[40/486] Loss: 0.179, Acc: 0.989, Base Lr: 1.10e-04 +2023-08-08 11:25:13 transreid.train INFO: Epoch[78] Iter[60/486] Loss: 0.169, Acc: 0.991, Base Lr: 1.10e-04 +2023-08-08 11:25:16 transreid.train INFO: Epoch[78] Iter[80/486] Loss: 0.176, Acc: 0.991, Base Lr: 1.10e-04 +2023-08-08 11:25:19 transreid.train INFO: Epoch[78] Iter[100/486] Loss: 0.174, Acc: 0.991, Base Lr: 1.10e-04 +2023-08-08 11:25:23 transreid.train INFO: Epoch[78] Iter[120/486] Loss: 0.174, Acc: 0.992, Base Lr: 1.10e-04 +2023-08-08 11:25:26 transreid.train INFO: Epoch[78] Iter[140/486] Loss: 0.168, Acc: 0.992, Base Lr: 1.10e-04 +2023-08-08 11:25:29 transreid.train INFO: Epoch[78] Iter[160/486] Loss: 0.163, Acc: 0.992, Base Lr: 1.10e-04 +2023-08-08 11:25:32 transreid.train INFO: Epoch[78] Iter[180/486] Loss: 0.158, Acc: 0.993, Base Lr: 1.10e-04 +2023-08-08 11:25:35 transreid.train INFO: Epoch[78] Iter[200/486] Loss: 0.158, Acc: 0.993, Base Lr: 1.10e-04 +2023-08-08 11:25:38 transreid.train INFO: Epoch[78] Iter[220/486] Loss: 0.155, Acc: 0.993, Base Lr: 1.10e-04 +2023-08-08 11:25:42 transreid.train INFO: Epoch[78] Iter[240/486] Loss: 0.154, Acc: 0.993, Base Lr: 1.10e-04 +2023-08-08 11:25:45 transreid.train INFO: Epoch[78] Iter[260/486] Loss: 0.152, Acc: 0.993, Base Lr: 1.10e-04 +2023-08-08 11:25:48 transreid.train INFO: Epoch[78] Iter[280/486] Loss: 0.151, Acc: 0.993, Base Lr: 1.10e-04 +2023-08-08 11:25:51 transreid.train INFO: Epoch[78] Iter[300/486] Loss: 0.149, Acc: 0.993, Base Lr: 1.10e-04 +2023-08-08 11:25:54 transreid.train INFO: Epoch[78] Iter[320/486] Loss: 0.147, Acc: 0.993, Base Lr: 1.10e-04 +2023-08-08 11:25:57 transreid.train INFO: Epoch[78] Iter[340/486] Loss: 0.144, Acc: 0.993, Base Lr: 1.10e-04 +2023-08-08 11:26:01 transreid.train INFO: Epoch[78] Iter[360/486] Loss: 0.142, Acc: 0.993, Base Lr: 1.10e-04 +2023-08-08 11:26:04 transreid.train INFO: Epoch[78] Iter[380/486] Loss: 0.140, Acc: 0.993, Base Lr: 1.10e-04 +2023-08-08 11:26:07 transreid.train INFO: Epoch[78] Iter[400/486] Loss: 0.137, Acc: 0.994, Base Lr: 1.10e-04 +2023-08-08 11:26:10 transreid.train INFO: Epoch[78] Iter[420/486] Loss: 0.134, Acc: 0.994, Base Lr: 1.10e-04 +2023-08-08 11:26:13 transreid.train INFO: Epoch[78] Iter[440/486] Loss: 0.131, Acc: 0.994, Base Lr: 1.10e-04 +2023-08-08 11:26:17 transreid.train INFO: Epoch[78] Iter[460/486] Loss: 0.129, Acc: 0.994, Base Lr: 1.10e-04 +2023-08-08 11:26:19 transreid.train INFO: Epoch 78 done. Time per epoch: 76.126[s] Speed: 396.8[samples/s] +2023-08-08 11:26:23 transreid.train INFO: Epoch[79] Iter[20/486] Loss: 0.232, Acc: 0.987, Base Lr: 1.05e-04 +2023-08-08 11:26:26 transreid.train INFO: Epoch[79] Iter[40/486] Loss: 0.196, Acc: 0.991, Base Lr: 1.05e-04 +2023-08-08 11:26:29 transreid.train INFO: Epoch[79] Iter[60/486] Loss: 0.190, Acc: 0.993, Base Lr: 1.05e-04 +2023-08-08 11:26:32 transreid.train INFO: Epoch[79] Iter[80/486] Loss: 0.184, Acc: 0.993, Base Lr: 1.05e-04 +2023-08-08 11:26:35 transreid.train INFO: Epoch[79] Iter[100/486] Loss: 0.178, Acc: 0.993, Base Lr: 1.05e-04 +2023-08-08 11:26:38 transreid.train INFO: Epoch[79] Iter[120/486] Loss: 0.173, Acc: 0.993, Base Lr: 1.05e-04 +2023-08-08 11:26:42 transreid.train INFO: Epoch[79] Iter[140/486] Loss: 0.173, Acc: 0.993, Base Lr: 1.05e-04 +2023-08-08 11:26:45 transreid.train INFO: Epoch[79] Iter[160/486] Loss: 0.166, Acc: 0.993, Base Lr: 1.05e-04 +2023-08-08 11:26:48 transreid.train INFO: Epoch[79] Iter[180/486] Loss: 0.162, Acc: 0.993, Base Lr: 1.05e-04 +2023-08-08 11:26:51 transreid.train INFO: Epoch[79] Iter[200/486] Loss: 0.157, Acc: 0.994, Base Lr: 1.05e-04 +2023-08-08 11:26:54 transreid.train INFO: Epoch[79] Iter[220/486] Loss: 0.155, Acc: 0.993, Base Lr: 1.05e-04 +2023-08-08 11:26:58 transreid.train INFO: Epoch[79] Iter[240/486] Loss: 0.151, Acc: 0.994, Base Lr: 1.05e-04 +2023-08-08 11:27:01 transreid.train INFO: Epoch[79] Iter[260/486] Loss: 0.150, Acc: 0.994, Base Lr: 1.05e-04 +2023-08-08 11:27:04 transreid.train INFO: Epoch[79] Iter[280/486] Loss: 0.146, Acc: 0.994, Base Lr: 1.05e-04 +2023-08-08 11:27:07 transreid.train INFO: Epoch[79] Iter[300/486] Loss: 0.145, Acc: 0.994, Base Lr: 1.05e-04 +2023-08-08 11:27:10 transreid.train INFO: Epoch[79] Iter[320/486] Loss: 0.142, Acc: 0.994, Base Lr: 1.05e-04 +2023-08-08 11:27:13 transreid.train INFO: Epoch[79] Iter[340/486] Loss: 0.139, Acc: 0.994, Base Lr: 1.05e-04 +2023-08-08 11:27:17 transreid.train INFO: Epoch[79] Iter[360/486] Loss: 0.136, Acc: 0.994, Base Lr: 1.05e-04 +2023-08-08 11:27:20 transreid.train INFO: Epoch[79] Iter[380/486] Loss: 0.134, Acc: 0.994, Base Lr: 1.05e-04 +2023-08-08 11:27:23 transreid.train INFO: Epoch[79] Iter[400/486] Loss: 0.132, Acc: 0.994, Base Lr: 1.05e-04 +2023-08-08 11:27:26 transreid.train INFO: Epoch[79] Iter[420/486] Loss: 0.128, Acc: 0.995, Base Lr: 1.05e-04 +2023-08-08 11:27:29 transreid.train INFO: Epoch[79] Iter[440/486] Loss: 0.125, Acc: 0.995, Base Lr: 1.05e-04 +2023-08-08 11:27:33 transreid.train INFO: Epoch[79] Iter[460/486] Loss: 0.123, Acc: 0.995, Base Lr: 1.05e-04 +2023-08-08 11:27:35 transreid.train INFO: Epoch 79 done. Time per epoch: 76.473[s] Speed: 396.7[samples/s] +2023-08-08 11:27:39 transreid.train INFO: Epoch[80] Iter[20/486] Loss: 0.181, Acc: 0.991, Base Lr: 1.01e-04 +2023-08-08 11:27:42 transreid.train INFO: Epoch[80] Iter[40/486] Loss: 0.185, Acc: 0.989, Base Lr: 1.01e-04 +2023-08-08 11:27:46 transreid.train INFO: Epoch[80] Iter[60/486] Loss: 0.176, Acc: 0.991, Base Lr: 1.01e-04 +2023-08-08 11:27:49 transreid.train INFO: Epoch[80] Iter[80/486] Loss: 0.175, Acc: 0.991, Base Lr: 1.01e-04 +2023-08-08 11:27:52 transreid.train INFO: Epoch[80] Iter[100/486] Loss: 0.171, Acc: 0.991, Base Lr: 1.01e-04 +2023-08-08 11:27:55 transreid.train INFO: Epoch[80] Iter[120/486] Loss: 0.166, Acc: 0.992, Base Lr: 1.01e-04 +2023-08-08 11:27:58 transreid.train INFO: Epoch[80] Iter[140/486] Loss: 0.166, Acc: 0.992, Base Lr: 1.01e-04 +2023-08-08 11:28:02 transreid.train INFO: Epoch[80] Iter[160/486] Loss: 0.166, Acc: 0.992, Base Lr: 1.01e-04 +2023-08-08 11:28:05 transreid.train INFO: Epoch[80] Iter[180/486] Loss: 0.164, Acc: 0.992, Base Lr: 1.01e-04 +2023-08-08 11:28:08 transreid.train INFO: Epoch[80] Iter[200/486] Loss: 0.161, Acc: 0.993, Base Lr: 1.01e-04 +2023-08-08 11:28:11 transreid.train INFO: Epoch[80] Iter[220/486] Loss: 0.158, Acc: 0.993, Base Lr: 1.01e-04 +2023-08-08 11:28:14 transreid.train INFO: Epoch[80] Iter[240/486] Loss: 0.155, Acc: 0.993, Base Lr: 1.01e-04 +2023-08-08 11:28:18 transreid.train INFO: Epoch[80] Iter[260/486] Loss: 0.153, Acc: 0.994, Base Lr: 1.01e-04 +2023-08-08 11:28:21 transreid.train INFO: Epoch[80] Iter[280/486] Loss: 0.149, Acc: 0.993, Base Lr: 1.01e-04 +2023-08-08 11:28:24 transreid.train INFO: Epoch[80] Iter[300/486] Loss: 0.147, Acc: 0.994, Base Lr: 1.01e-04 +2023-08-08 11:28:27 transreid.train INFO: Epoch[80] Iter[320/486] Loss: 0.144, Acc: 0.994, Base Lr: 1.01e-04 +2023-08-08 11:28:30 transreid.train INFO: Epoch[80] Iter[340/486] Loss: 0.142, Acc: 0.994, Base Lr: 1.01e-04 +2023-08-08 11:28:34 transreid.train INFO: Epoch[80] Iter[360/486] Loss: 0.138, Acc: 0.994, Base Lr: 1.01e-04 +2023-08-08 11:28:37 transreid.train INFO: Epoch[80] Iter[380/486] Loss: 0.135, Acc: 0.994, Base Lr: 1.01e-04 +2023-08-08 11:28:40 transreid.train INFO: Epoch[80] Iter[400/486] Loss: 0.133, Acc: 0.994, Base Lr: 1.01e-04 +2023-08-08 11:28:43 transreid.train INFO: Epoch[80] Iter[420/486] Loss: 0.129, Acc: 0.995, Base Lr: 1.01e-04 +2023-08-08 11:28:46 transreid.train INFO: Epoch[80] Iter[440/486] Loss: 0.126, Acc: 0.995, Base Lr: 1.01e-04 +2023-08-08 11:28:50 transreid.train INFO: Epoch[80] Iter[460/486] Loss: 0.123, Acc: 0.995, Base Lr: 1.01e-04 +2023-08-08 11:28:52 transreid.train INFO: Epoch 80 done. Time per epoch: 76.902[s] Speed: 394.5[samples/s] +2023-08-08 11:28:56 transreid.train INFO: Epoch[81] Iter[20/486] Loss: 0.185, Acc: 0.992, Base Lr: 9.61e-05 +2023-08-08 11:28:59 transreid.train INFO: Epoch[81] Iter[40/486] Loss: 0.187, Acc: 0.990, Base Lr: 9.61e-05 +2023-08-08 11:29:02 transreid.train INFO: Epoch[81] Iter[60/486] Loss: 0.172, Acc: 0.992, Base Lr: 9.61e-05 +2023-08-08 11:29:06 transreid.train INFO: Epoch[81] Iter[80/486] Loss: 0.164, Acc: 0.993, Base Lr: 9.61e-05 +2023-08-08 11:29:09 transreid.train INFO: Epoch[81] Iter[100/486] Loss: 0.158, Acc: 0.993, Base Lr: 9.61e-05 +2023-08-08 11:29:12 transreid.train INFO: Epoch[81] Iter[120/486] Loss: 0.158, Acc: 0.993, Base Lr: 9.61e-05 +2023-08-08 11:29:15 transreid.train INFO: Epoch[81] Iter[140/486] Loss: 0.156, Acc: 0.993, Base Lr: 9.61e-05 +2023-08-08 11:29:18 transreid.train INFO: Epoch[81] Iter[160/486] Loss: 0.156, Acc: 0.993, Base Lr: 9.61e-05 +2023-08-08 11:29:22 transreid.train INFO: Epoch[81] Iter[180/486] Loss: 0.154, Acc: 0.993, Base Lr: 9.61e-05 +2023-08-08 11:29:25 transreid.train INFO: Epoch[81] Iter[200/486] Loss: 0.150, Acc: 0.994, Base Lr: 9.61e-05 +2023-08-08 11:29:28 transreid.train INFO: Epoch[81] Iter[220/486] Loss: 0.147, Acc: 0.994, Base Lr: 9.61e-05 +2023-08-08 11:29:31 transreid.train INFO: Epoch[81] Iter[240/486] Loss: 0.144, Acc: 0.994, Base Lr: 9.61e-05 +2023-08-08 11:29:34 transreid.train INFO: Epoch[81] Iter[260/486] Loss: 0.143, Acc: 0.994, Base Lr: 9.61e-05 +2023-08-08 11:29:38 transreid.train INFO: Epoch[81] Iter[280/486] Loss: 0.140, Acc: 0.994, Base Lr: 9.61e-05 +2023-08-08 11:29:41 transreid.train INFO: Epoch[81] Iter[300/486] Loss: 0.137, Acc: 0.995, Base Lr: 9.61e-05 +2023-08-08 11:29:44 transreid.train INFO: Epoch[81] Iter[320/486] Loss: 0.134, Acc: 0.995, Base Lr: 9.61e-05 +2023-08-08 11:29:47 transreid.train INFO: Epoch[81] Iter[340/486] Loss: 0.133, Acc: 0.995, Base Lr: 9.61e-05 +2023-08-08 11:29:50 transreid.train INFO: Epoch[81] Iter[360/486] Loss: 0.131, Acc: 0.995, Base Lr: 9.61e-05 +2023-08-08 11:29:53 transreid.train INFO: Epoch[81] Iter[380/486] Loss: 0.129, Acc: 0.995, Base Lr: 9.61e-05 +2023-08-08 11:29:57 transreid.train INFO: Epoch[81] Iter[400/486] Loss: 0.127, Acc: 0.995, Base Lr: 9.61e-05 +2023-08-08 11:30:00 transreid.train INFO: Epoch[81] Iter[420/486] Loss: 0.125, Acc: 0.995, Base Lr: 9.61e-05 +2023-08-08 11:30:03 transreid.train INFO: Epoch[81] Iter[440/486] Loss: 0.121, Acc: 0.995, Base Lr: 9.61e-05 +2023-08-08 11:30:06 transreid.train INFO: Epoch[81] Iter[460/486] Loss: 0.119, Acc: 0.995, Base Lr: 9.61e-05 +2023-08-08 11:30:09 transreid.train INFO: Epoch 81 done. Time per epoch: 76.749[s] Speed: 394.4[samples/s] +2023-08-08 11:30:13 transreid.train INFO: Epoch[82] Iter[20/486] Loss: 0.152, Acc: 0.994, Base Lr: 9.17e-05 +2023-08-08 11:30:16 transreid.train INFO: Epoch[82] Iter[40/486] Loss: 0.153, Acc: 0.991, Base Lr: 9.17e-05 +2023-08-08 11:30:19 transreid.train INFO: Epoch[82] Iter[60/486] Loss: 0.149, Acc: 0.992, Base Lr: 9.17e-05 +2023-08-08 11:30:22 transreid.train INFO: Epoch[82] Iter[80/486] Loss: 0.154, Acc: 0.991, Base Lr: 9.17e-05 +2023-08-08 11:30:25 transreid.train INFO: Epoch[82] Iter[100/486] Loss: 0.157, Acc: 0.991, Base Lr: 9.17e-05 +2023-08-08 11:30:29 transreid.train INFO: Epoch[82] Iter[120/486] Loss: 0.153, Acc: 0.992, Base Lr: 9.17e-05 +2023-08-08 11:30:32 transreid.train INFO: Epoch[82] Iter[140/486] Loss: 0.148, Acc: 0.993, Base Lr: 9.17e-05 +2023-08-08 11:30:35 transreid.train INFO: Epoch[82] Iter[160/486] Loss: 0.146, Acc: 0.993, Base Lr: 9.17e-05 +2023-08-08 11:30:38 transreid.train INFO: Epoch[82] Iter[180/486] Loss: 0.145, Acc: 0.993, Base Lr: 9.17e-05 +2023-08-08 11:30:41 transreid.train INFO: Epoch[82] Iter[200/486] Loss: 0.144, Acc: 0.993, Base Lr: 9.17e-05 +2023-08-08 11:30:45 transreid.train INFO: Epoch[82] Iter[220/486] Loss: 0.141, Acc: 0.994, Base Lr: 9.17e-05 +2023-08-08 11:30:48 transreid.train INFO: Epoch[82] Iter[240/486] Loss: 0.138, Acc: 0.994, Base Lr: 9.17e-05 +2023-08-08 11:30:51 transreid.train INFO: Epoch[82] Iter[260/486] Loss: 0.136, Acc: 0.994, Base Lr: 9.17e-05 +2023-08-08 11:30:54 transreid.train INFO: Epoch[82] Iter[280/486] Loss: 0.133, Acc: 0.995, Base Lr: 9.17e-05 +2023-08-08 11:30:57 transreid.train INFO: Epoch[82] Iter[300/486] Loss: 0.130, Acc: 0.995, Base Lr: 9.17e-05 +2023-08-08 11:31:01 transreid.train INFO: Epoch[82] Iter[320/486] Loss: 0.127, Acc: 0.995, Base Lr: 9.17e-05 +2023-08-08 11:31:04 transreid.train INFO: Epoch[82] Iter[340/486] Loss: 0.125, Acc: 0.995, Base Lr: 9.17e-05 +2023-08-08 11:31:07 transreid.train INFO: Epoch[82] Iter[360/486] Loss: 0.123, Acc: 0.995, Base Lr: 9.17e-05 +2023-08-08 11:31:10 transreid.train INFO: Epoch[82] Iter[380/486] Loss: 0.120, Acc: 0.995, Base Lr: 9.17e-05 +2023-08-08 11:31:13 transreid.train INFO: Epoch[82] Iter[400/486] Loss: 0.118, Acc: 0.995, Base Lr: 9.17e-05 +2023-08-08 11:31:17 transreid.train INFO: Epoch[82] Iter[420/486] Loss: 0.116, Acc: 0.995, Base Lr: 9.17e-05 +2023-08-08 11:31:20 transreid.train INFO: Epoch[82] Iter[440/486] Loss: 0.113, Acc: 0.995, Base Lr: 9.17e-05 +2023-08-08 11:31:23 transreid.train INFO: Epoch[82] Iter[460/486] Loss: 0.111, Acc: 0.995, Base Lr: 9.17e-05 +2023-08-08 11:31:25 transreid.train INFO: Epoch 82 done. Time per epoch: 76.412[s] Speed: 396.2[samples/s] +2023-08-08 11:31:29 transreid.train INFO: Epoch[83] Iter[20/486] Loss: 0.145, Acc: 0.996, Base Lr: 8.73e-05 +2023-08-08 11:31:32 transreid.train INFO: Epoch[83] Iter[40/486] Loss: 0.152, Acc: 0.993, Base Lr: 8.73e-05 +2023-08-08 11:31:36 transreid.train INFO: Epoch[83] Iter[60/486] Loss: 0.151, Acc: 0.993, Base Lr: 8.73e-05 +2023-08-08 11:31:39 transreid.train INFO: Epoch[83] Iter[80/486] Loss: 0.154, Acc: 0.993, Base Lr: 8.73e-05 +2023-08-08 11:31:42 transreid.train INFO: Epoch[83] Iter[100/486] Loss: 0.155, Acc: 0.993, Base Lr: 8.73e-05 +2023-08-08 11:31:45 transreid.train INFO: Epoch[83] Iter[120/486] Loss: 0.155, Acc: 0.993, Base Lr: 8.73e-05 +2023-08-08 11:31:48 transreid.train INFO: Epoch[83] Iter[140/486] Loss: 0.151, Acc: 0.994, Base Lr: 8.73e-05 +2023-08-08 11:31:52 transreid.train INFO: Epoch[83] Iter[160/486] Loss: 0.147, Acc: 0.994, Base Lr: 8.73e-05 +2023-08-08 11:31:55 transreid.train INFO: Epoch[83] Iter[180/486] Loss: 0.145, Acc: 0.994, Base Lr: 8.73e-05 +2023-08-08 11:31:58 transreid.train INFO: Epoch[83] Iter[200/486] Loss: 0.143, Acc: 0.995, Base Lr: 8.73e-05 +2023-08-08 11:32:01 transreid.train INFO: Epoch[83] Iter[220/486] Loss: 0.141, Acc: 0.995, Base Lr: 8.73e-05 +2023-08-08 11:32:04 transreid.train INFO: Epoch[83] Iter[240/486] Loss: 0.140, Acc: 0.995, Base Lr: 8.73e-05 +2023-08-08 11:32:07 transreid.train INFO: Epoch[83] Iter[260/486] Loss: 0.138, Acc: 0.995, Base Lr: 8.73e-05 +2023-08-08 11:32:11 transreid.train INFO: Epoch[83] Iter[280/486] Loss: 0.136, Acc: 0.995, Base Lr: 8.73e-05 +2023-08-08 11:32:14 transreid.train INFO: Epoch[83] Iter[300/486] Loss: 0.134, Acc: 0.995, Base Lr: 8.73e-05 +2023-08-08 11:32:17 transreid.train INFO: Epoch[83] Iter[320/486] Loss: 0.134, Acc: 0.995, Base Lr: 8.73e-05 +2023-08-08 11:32:20 transreid.train INFO: Epoch[83] Iter[340/486] Loss: 0.131, Acc: 0.995, Base Lr: 8.73e-05 +2023-08-08 11:32:24 transreid.train INFO: Epoch[83] Iter[360/486] Loss: 0.130, Acc: 0.995, Base Lr: 8.73e-05 +2023-08-08 11:32:27 transreid.train INFO: Epoch[83] Iter[380/486] Loss: 0.127, Acc: 0.995, Base Lr: 8.73e-05 +2023-08-08 11:32:30 transreid.train INFO: Epoch[83] Iter[400/486] Loss: 0.125, Acc: 0.995, Base Lr: 8.73e-05 +2023-08-08 11:32:33 transreid.train INFO: Epoch[83] Iter[420/486] Loss: 0.123, Acc: 0.995, Base Lr: 8.73e-05 +2023-08-08 11:32:36 transreid.train INFO: Epoch[83] Iter[440/486] Loss: 0.120, Acc: 0.995, Base Lr: 8.73e-05 +2023-08-08 11:32:39 transreid.train INFO: Epoch[83] Iter[460/486] Loss: 0.117, Acc: 0.995, Base Lr: 8.73e-05 +2023-08-08 11:32:41 transreid.train INFO: Epoch 83 done. 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Time per epoch: 76.499[s] Speed: 395.7[samples/s] +2023-08-08 11:34:02 transreid.train INFO: Epoch[85] Iter[20/486] Loss: 0.177, Acc: 0.991, Base Lr: 7.89e-05 +2023-08-08 11:34:05 transreid.train INFO: Epoch[85] Iter[40/486] Loss: 0.168, Acc: 0.991, Base Lr: 7.89e-05 +2023-08-08 11:34:08 transreid.train INFO: Epoch[85] Iter[60/486] Loss: 0.169, Acc: 0.992, Base Lr: 7.89e-05 +2023-08-08 11:34:12 transreid.train INFO: Epoch[85] Iter[80/486] Loss: 0.162, Acc: 0.993, Base Lr: 7.89e-05 +2023-08-08 11:34:15 transreid.train INFO: Epoch[85] Iter[100/486] Loss: 0.159, Acc: 0.993, Base Lr: 7.89e-05 +2023-08-08 11:34:18 transreid.train INFO: Epoch[85] Iter[120/486] Loss: 0.156, Acc: 0.993, Base Lr: 7.89e-05 +2023-08-08 11:34:21 transreid.train INFO: Epoch[85] Iter[140/486] Loss: 0.150, Acc: 0.994, Base Lr: 7.89e-05 +2023-08-08 11:34:24 transreid.train INFO: Epoch[85] Iter[160/486] Loss: 0.146, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:34:27 transreid.train INFO: Epoch[85] Iter[180/486] Loss: 0.142, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:34:31 transreid.train INFO: Epoch[85] Iter[200/486] Loss: 0.141, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:34:34 transreid.train INFO: Epoch[85] Iter[220/486] Loss: 0.138, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:34:37 transreid.train INFO: Epoch[85] Iter[240/486] Loss: 0.137, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:34:40 transreid.train INFO: Epoch[85] Iter[260/486] Loss: 0.135, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:34:43 transreid.train INFO: Epoch[85] Iter[280/486] Loss: 0.133, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:34:47 transreid.train INFO: Epoch[85] Iter[300/486] Loss: 0.130, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:34:50 transreid.train INFO: Epoch[85] Iter[320/486] Loss: 0.128, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:34:53 transreid.train INFO: Epoch[85] Iter[340/486] Loss: 0.127, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:34:56 transreid.train INFO: Epoch[85] Iter[360/486] Loss: 0.124, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:34:59 transreid.train INFO: Epoch[85] Iter[380/486] Loss: 0.123, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:35:02 transreid.train INFO: Epoch[85] Iter[400/486] Loss: 0.121, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:35:06 transreid.train INFO: Epoch[85] Iter[420/486] Loss: 0.118, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:35:09 transreid.train INFO: Epoch[85] Iter[440/486] Loss: 0.115, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:35:12 transreid.train INFO: Epoch[85] Iter[460/486] Loss: 0.113, Acc: 0.995, Base Lr: 7.89e-05 +2023-08-08 11:35:15 transreid.train INFO: Epoch 85 done. Time per epoch: 76.767[s] Speed: 396.0[samples/s] +2023-08-08 11:35:19 transreid.train INFO: Epoch[86] Iter[20/486] Loss: 0.148, Acc: 0.991, Base Lr: 7.48e-05 +2023-08-08 11:35:22 transreid.train INFO: Epoch[86] Iter[40/486] Loss: 0.166, Acc: 0.988, Base Lr: 7.48e-05 +2023-08-08 11:35:25 transreid.train INFO: Epoch[86] Iter[60/486] Loss: 0.160, Acc: 0.989, Base Lr: 7.48e-05 +2023-08-08 11:35:28 transreid.train INFO: Epoch[86] Iter[80/486] Loss: 0.152, Acc: 0.991, Base Lr: 7.48e-05 +2023-08-08 11:35:31 transreid.train INFO: Epoch[86] Iter[100/486] Loss: 0.151, Acc: 0.992, Base Lr: 7.48e-05 +2023-08-08 11:35:35 transreid.train INFO: Epoch[86] Iter[120/486] Loss: 0.148, Acc: 0.993, Base Lr: 7.48e-05 +2023-08-08 11:35:38 transreid.train INFO: Epoch[86] Iter[140/486] Loss: 0.145, Acc: 0.993, Base Lr: 7.48e-05 +2023-08-08 11:35:41 transreid.train INFO: Epoch[86] Iter[160/486] Loss: 0.143, Acc: 0.994, Base Lr: 7.48e-05 +2023-08-08 11:35:44 transreid.train INFO: Epoch[86] Iter[180/486] Loss: 0.138, Acc: 0.994, Base Lr: 7.48e-05 +2023-08-08 11:35:47 transreid.train INFO: Epoch[86] Iter[200/486] Loss: 0.136, Acc: 0.994, Base Lr: 7.48e-05 +2023-08-08 11:35:50 transreid.train INFO: Epoch[86] Iter[220/486] Loss: 0.134, Acc: 0.995, Base Lr: 7.48e-05 +2023-08-08 11:35:54 transreid.train INFO: Epoch[86] Iter[240/486] Loss: 0.132, Acc: 0.995, Base Lr: 7.48e-05 +2023-08-08 11:35:57 transreid.train INFO: Epoch[86] Iter[260/486] Loss: 0.130, Acc: 0.995, Base Lr: 7.48e-05 +2023-08-08 11:36:00 transreid.train INFO: Epoch[86] Iter[280/486] Loss: 0.128, Acc: 0.995, Base Lr: 7.48e-05 +2023-08-08 11:36:03 transreid.train INFO: Epoch[86] Iter[300/486] Loss: 0.128, Acc: 0.995, Base Lr: 7.48e-05 +2023-08-08 11:36:06 transreid.train INFO: Epoch[86] Iter[320/486] Loss: 0.125, Acc: 0.995, Base Lr: 7.48e-05 +2023-08-08 11:36:10 transreid.train INFO: Epoch[86] Iter[340/486] Loss: 0.124, Acc: 0.995, Base Lr: 7.48e-05 +2023-08-08 11:36:13 transreid.train INFO: Epoch[86] Iter[360/486] Loss: 0.123, Acc: 0.995, Base Lr: 7.48e-05 +2023-08-08 11:36:16 transreid.train INFO: Epoch[86] Iter[380/486] Loss: 0.121, Acc: 0.995, Base Lr: 7.48e-05 +2023-08-08 11:36:19 transreid.train INFO: Epoch[86] Iter[400/486] Loss: 0.119, Acc: 0.995, Base Lr: 7.48e-05 +2023-08-08 11:36:22 transreid.train INFO: Epoch[86] Iter[420/486] Loss: 0.117, Acc: 0.995, Base Lr: 7.48e-05 +2023-08-08 11:36:25 transreid.train INFO: Epoch[86] Iter[440/486] Loss: 0.114, Acc: 0.995, Base Lr: 7.48e-05 +2023-08-08 11:36:29 transreid.train INFO: Epoch[86] Iter[460/486] Loss: 0.112, Acc: 0.995, Base Lr: 7.48e-05 +2023-08-08 11:36:31 transreid.train INFO: Epoch 86 done. Time per epoch: 76.552[s] Speed: 396.3[samples/s] +2023-08-08 11:36:35 transreid.train INFO: Epoch[87] Iter[20/486] Loss: 0.143, Acc: 0.998, Base Lr: 7.08e-05 +2023-08-08 11:36:38 transreid.train INFO: Epoch[87] Iter[40/486] Loss: 0.158, Acc: 0.993, Base Lr: 7.08e-05 +2023-08-08 11:36:42 transreid.train INFO: Epoch[87] Iter[60/486] Loss: 0.159, Acc: 0.994, Base Lr: 7.08e-05 +2023-08-08 11:36:45 transreid.train INFO: Epoch[87] Iter[80/486] Loss: 0.153, Acc: 0.994, Base Lr: 7.08e-05 +2023-08-08 11:36:48 transreid.train INFO: Epoch[87] Iter[100/486] Loss: 0.165, Acc: 0.993, Base Lr: 7.08e-05 +2023-08-08 11:36:51 transreid.train INFO: Epoch[87] Iter[120/486] Loss: 0.161, Acc: 0.993, Base Lr: 7.08e-05 +2023-08-08 11:36:54 transreid.train INFO: Epoch[87] Iter[140/486] Loss: 0.161, Acc: 0.993, Base Lr: 7.08e-05 +2023-08-08 11:36:57 transreid.train INFO: Epoch[87] Iter[160/486] Loss: 0.156, Acc: 0.993, Base Lr: 7.08e-05 +2023-08-08 11:37:01 transreid.train INFO: Epoch[87] Iter[180/486] Loss: 0.154, Acc: 0.993, Base Lr: 7.08e-05 +2023-08-08 11:37:04 transreid.train INFO: Epoch[87] Iter[200/486] Loss: 0.150, Acc: 0.993, Base Lr: 7.08e-05 +2023-08-08 11:37:07 transreid.train INFO: Epoch[87] Iter[220/486] Loss: 0.147, Acc: 0.994, Base Lr: 7.08e-05 +2023-08-08 11:37:10 transreid.train INFO: Epoch[87] Iter[240/486] Loss: 0.145, Acc: 0.994, Base Lr: 7.08e-05 +2023-08-08 11:37:13 transreid.train INFO: Epoch[87] Iter[260/486] Loss: 0.142, Acc: 0.994, Base Lr: 7.08e-05 +2023-08-08 11:37:17 transreid.train INFO: Epoch[87] Iter[280/486] Loss: 0.140, Acc: 0.994, Base Lr: 7.08e-05 +2023-08-08 11:37:20 transreid.train INFO: Epoch[87] Iter[300/486] Loss: 0.140, Acc: 0.994, Base Lr: 7.08e-05 +2023-08-08 11:37:23 transreid.train INFO: Epoch[87] Iter[320/486] Loss: 0.137, Acc: 0.994, Base Lr: 7.08e-05 +2023-08-08 11:37:26 transreid.train INFO: Epoch[87] Iter[340/486] Loss: 0.134, Acc: 0.995, Base Lr: 7.08e-05 +2023-08-08 11:37:29 transreid.train INFO: Epoch[87] Iter[360/486] Loss: 0.131, Acc: 0.995, Base Lr: 7.08e-05 +2023-08-08 11:37:33 transreid.train INFO: Epoch[87] Iter[380/486] Loss: 0.128, Acc: 0.995, Base Lr: 7.08e-05 +2023-08-08 11:37:36 transreid.train INFO: Epoch[87] Iter[400/486] Loss: 0.125, Acc: 0.995, Base Lr: 7.08e-05 +2023-08-08 11:37:39 transreid.train INFO: Epoch[87] Iter[420/486] Loss: 0.123, Acc: 0.995, Base Lr: 7.08e-05 +2023-08-08 11:37:42 transreid.train INFO: Epoch[87] Iter[440/486] Loss: 0.121, Acc: 0.995, Base Lr: 7.08e-05 +2023-08-08 11:37:45 transreid.train INFO: Epoch[87] Iter[460/486] Loss: 0.118, Acc: 0.995, Base Lr: 7.08e-05 +2023-08-08 11:37:47 transreid.train INFO: Epoch 87 done. Time per epoch: 76.340[s] Speed: 396.5[samples/s] +2023-08-08 11:37:52 transreid.train INFO: Epoch[88] Iter[20/486] Loss: 0.131, Acc: 0.998, Base Lr: 6.68e-05 +2023-08-08 11:37:55 transreid.train INFO: Epoch[88] Iter[40/486] Loss: 0.140, Acc: 0.995, Base Lr: 6.68e-05 +2023-08-08 11:37:58 transreid.train INFO: Epoch[88] Iter[60/486] Loss: 0.143, Acc: 0.994, Base Lr: 6.68e-05 +2023-08-08 11:38:01 transreid.train INFO: Epoch[88] Iter[80/486] Loss: 0.144, Acc: 0.993, Base Lr: 6.68e-05 +2023-08-08 11:38:04 transreid.train INFO: Epoch[88] Iter[100/486] Loss: 0.148, Acc: 0.993, Base Lr: 6.68e-05 +2023-08-08 11:38:08 transreid.train INFO: Epoch[88] Iter[120/486] Loss: 0.148, Acc: 0.994, Base Lr: 6.68e-05 +2023-08-08 11:38:11 transreid.train INFO: Epoch[88] Iter[140/486] Loss: 0.146, Acc: 0.994, Base Lr: 6.68e-05 +2023-08-08 11:38:14 transreid.train INFO: Epoch[88] Iter[160/486] Loss: 0.146, Acc: 0.994, Base Lr: 6.68e-05 +2023-08-08 11:38:17 transreid.train INFO: Epoch[88] Iter[180/486] Loss: 0.142, Acc: 0.994, Base Lr: 6.68e-05 +2023-08-08 11:38:20 transreid.train INFO: Epoch[88] Iter[200/486] Loss: 0.141, Acc: 0.994, Base Lr: 6.68e-05 +2023-08-08 11:38:24 transreid.train INFO: Epoch[88] Iter[220/486] Loss: 0.138, Acc: 0.994, Base Lr: 6.68e-05 +2023-08-08 11:38:27 transreid.train INFO: Epoch[88] Iter[240/486] Loss: 0.135, Acc: 0.994, Base Lr: 6.68e-05 +2023-08-08 11:38:30 transreid.train INFO: Epoch[88] Iter[260/486] Loss: 0.133, Acc: 0.995, Base Lr: 6.68e-05 +2023-08-08 11:38:33 transreid.train INFO: Epoch[88] Iter[280/486] Loss: 0.132, Acc: 0.995, Base Lr: 6.68e-05 +2023-08-08 11:38:36 transreid.train INFO: Epoch[88] Iter[300/486] Loss: 0.130, Acc: 0.995, Base Lr: 6.68e-05 +2023-08-08 11:38:39 transreid.train INFO: Epoch[88] Iter[320/486] Loss: 0.128, Acc: 0.995, Base Lr: 6.68e-05 +2023-08-08 11:38:43 transreid.train INFO: Epoch[88] Iter[340/486] Loss: 0.127, Acc: 0.995, Base Lr: 6.68e-05 +2023-08-08 11:38:46 transreid.train INFO: Epoch[88] Iter[360/486] Loss: 0.124, Acc: 0.995, Base Lr: 6.68e-05 +2023-08-08 11:38:49 transreid.train INFO: Epoch[88] Iter[380/486] Loss: 0.121, Acc: 0.995, Base Lr: 6.68e-05 +2023-08-08 11:38:52 transreid.train INFO: Epoch[88] Iter[400/486] Loss: 0.119, Acc: 0.995, Base Lr: 6.68e-05 +2023-08-08 11:38:55 transreid.train INFO: Epoch[88] Iter[420/486] Loss: 0.117, Acc: 0.995, Base Lr: 6.68e-05 +2023-08-08 11:38:59 transreid.train INFO: Epoch[88] Iter[440/486] Loss: 0.114, Acc: 0.995, Base Lr: 6.68e-05 +2023-08-08 11:39:02 transreid.train INFO: Epoch[88] Iter[460/486] Loss: 0.112, Acc: 0.995, Base Lr: 6.68e-05 +2023-08-08 11:39:04 transreid.train INFO: Epoch 88 done. Time per epoch: 76.630[s] Speed: 395.9[samples/s] +2023-08-08 11:39:08 transreid.train INFO: Epoch[89] Iter[20/486] Loss: 0.198, Acc: 0.988, Base Lr: 6.30e-05 +2023-08-08 11:39:11 transreid.train INFO: Epoch[89] Iter[40/486] Loss: 0.181, Acc: 0.989, Base Lr: 6.30e-05 +2023-08-08 11:39:15 transreid.train INFO: Epoch[89] Iter[60/486] Loss: 0.176, Acc: 0.991, Base Lr: 6.30e-05 +2023-08-08 11:39:18 transreid.train INFO: Epoch[89] Iter[80/486] Loss: 0.167, Acc: 0.992, Base Lr: 6.30e-05 +2023-08-08 11:39:21 transreid.train INFO: Epoch[89] Iter[100/486] Loss: 0.159, Acc: 0.993, Base Lr: 6.30e-05 +2023-08-08 11:39:24 transreid.train INFO: Epoch[89] Iter[120/486] Loss: 0.156, Acc: 0.993, Base Lr: 6.30e-05 +2023-08-08 11:39:27 transreid.train INFO: Epoch[89] Iter[140/486] Loss: 0.152, Acc: 0.994, Base Lr: 6.30e-05 +2023-08-08 11:39:31 transreid.train INFO: Epoch[89] Iter[160/486] Loss: 0.147, Acc: 0.994, Base Lr: 6.30e-05 +2023-08-08 11:39:34 transreid.train INFO: Epoch[89] Iter[180/486] Loss: 0.145, Acc: 0.994, Base Lr: 6.30e-05 +2023-08-08 11:39:37 transreid.train INFO: Epoch[89] Iter[200/486] Loss: 0.143, Acc: 0.994, Base Lr: 6.30e-05 +2023-08-08 11:39:40 transreid.train INFO: Epoch[89] Iter[220/486] Loss: 0.141, Acc: 0.994, Base Lr: 6.30e-05 +2023-08-08 11:39:43 transreid.train INFO: Epoch[89] Iter[240/486] Loss: 0.140, Acc: 0.994, Base Lr: 6.30e-05 +2023-08-08 11:39:47 transreid.train INFO: Epoch[89] Iter[260/486] Loss: 0.136, Acc: 0.995, Base Lr: 6.30e-05 +2023-08-08 11:39:50 transreid.train INFO: Epoch[89] Iter[280/486] Loss: 0.135, Acc: 0.995, Base Lr: 6.30e-05 +2023-08-08 11:39:53 transreid.train INFO: Epoch[89] Iter[300/486] Loss: 0.132, Acc: 0.995, Base Lr: 6.30e-05 +2023-08-08 11:39:56 transreid.train INFO: Epoch[89] Iter[320/486] Loss: 0.129, Acc: 0.995, Base Lr: 6.30e-05 +2023-08-08 11:39:59 transreid.train INFO: Epoch[89] Iter[340/486] Loss: 0.127, Acc: 0.995, Base Lr: 6.30e-05 +2023-08-08 11:40:02 transreid.train INFO: Epoch[89] Iter[360/486] Loss: 0.125, Acc: 0.995, Base Lr: 6.30e-05 +2023-08-08 11:40:06 transreid.train INFO: Epoch[89] Iter[380/486] Loss: 0.123, Acc: 0.995, Base Lr: 6.30e-05 +2023-08-08 11:40:09 transreid.train INFO: Epoch[89] Iter[400/486] Loss: 0.120, Acc: 0.995, Base Lr: 6.30e-05 +2023-08-08 11:40:12 transreid.train INFO: Epoch[89] Iter[420/486] Loss: 0.118, Acc: 0.995, Base Lr: 6.30e-05 +2023-08-08 11:40:15 transreid.train INFO: Epoch[89] Iter[440/486] Loss: 0.115, Acc: 0.995, Base Lr: 6.30e-05 +2023-08-08 11:40:18 transreid.train INFO: Epoch[89] Iter[460/486] Loss: 0.114, Acc: 0.995, Base Lr: 6.30e-05 +2023-08-08 11:40:21 transreid.train INFO: Epoch 89 done. Time per epoch: 76.616[s] Speed: 395.9[samples/s] +2023-08-08 11:40:25 transreid.train INFO: Epoch[90] Iter[20/486] Loss: 0.144, Acc: 0.998, Base Lr: 5.93e-05 +2023-08-08 11:40:28 transreid.train INFO: Epoch[90] Iter[40/486] Loss: 0.157, Acc: 0.996, Base Lr: 5.93e-05 +2023-08-08 11:40:31 transreid.train INFO: Epoch[90] Iter[60/486] Loss: 0.159, Acc: 0.993, Base Lr: 5.93e-05 +2023-08-08 11:40:34 transreid.train INFO: Epoch[90] Iter[80/486] Loss: 0.156, Acc: 0.993, Base Lr: 5.93e-05 +2023-08-08 11:40:38 transreid.train INFO: Epoch[90] Iter[100/486] Loss: 0.152, Acc: 0.994, Base Lr: 5.93e-05 +2023-08-08 11:40:41 transreid.train INFO: Epoch[90] Iter[120/486] Loss: 0.149, Acc: 0.994, Base Lr: 5.93e-05 +2023-08-08 11:40:44 transreid.train INFO: Epoch[90] Iter[140/486] Loss: 0.147, Acc: 0.994, Base Lr: 5.93e-05 +2023-08-08 11:40:47 transreid.train INFO: Epoch[90] Iter[160/486] Loss: 0.144, Acc: 0.994, Base Lr: 5.93e-05 +2023-08-08 11:40:50 transreid.train INFO: Epoch[90] Iter[180/486] Loss: 0.140, Acc: 0.995, Base Lr: 5.93e-05 +2023-08-08 11:40:54 transreid.train INFO: Epoch[90] Iter[200/486] Loss: 0.139, Acc: 0.995, Base Lr: 5.93e-05 +2023-08-08 11:40:57 transreid.train INFO: Epoch[90] Iter[220/486] Loss: 0.136, Acc: 0.995, Base Lr: 5.93e-05 +2023-08-08 11:41:00 transreid.train INFO: Epoch[90] Iter[240/486] Loss: 0.135, Acc: 0.995, Base Lr: 5.93e-05 +2023-08-08 11:41:03 transreid.train INFO: Epoch[90] Iter[260/486] Loss: 0.132, Acc: 0.995, Base Lr: 5.93e-05 +2023-08-08 11:41:06 transreid.train INFO: Epoch[90] Iter[280/486] Loss: 0.130, Acc: 0.995, Base Lr: 5.93e-05 +2023-08-08 11:41:09 transreid.train INFO: Epoch[90] Iter[300/486] Loss: 0.128, Acc: 0.995, Base Lr: 5.93e-05 +2023-08-08 11:41:13 transreid.train INFO: Epoch[90] Iter[320/486] Loss: 0.126, Acc: 0.995, Base Lr: 5.93e-05 +2023-08-08 11:41:16 transreid.train INFO: Epoch[90] Iter[340/486] Loss: 0.123, Acc: 0.995, Base Lr: 5.93e-05 +2023-08-08 11:41:19 transreid.train INFO: Epoch[90] Iter[360/486] Loss: 0.121, Acc: 0.995, Base Lr: 5.93e-05 +2023-08-08 11:41:22 transreid.train INFO: Epoch[90] Iter[380/486] Loss: 0.119, Acc: 0.995, Base Lr: 5.93e-05 +2023-08-08 11:41:25 transreid.train INFO: Epoch[90] Iter[400/486] Loss: 0.117, Acc: 0.995, Base Lr: 5.93e-05 +2023-08-08 11:41:29 transreid.train INFO: Epoch[90] Iter[420/486] Loss: 0.114, Acc: 0.995, Base Lr: 5.93e-05 +2023-08-08 11:41:32 transreid.train INFO: Epoch[90] Iter[440/486] Loss: 0.112, Acc: 0.995, Base Lr: 5.93e-05 +2023-08-08 11:41:35 transreid.train INFO: Epoch[90] Iter[460/486] Loss: 0.109, Acc: 0.995, Base Lr: 5.93e-05 +2023-08-08 11:41:37 transreid.train INFO: Epoch 90 done. Time per epoch: 76.473[s] Speed: 396.7[samples/s] +2023-08-08 11:41:41 transreid.train INFO: Epoch[91] Iter[20/486] Loss: 0.144, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:41:44 transreid.train INFO: Epoch[91] Iter[40/486] Loss: 0.162, Acc: 0.993, Base Lr: 5.56e-05 +2023-08-08 11:41:48 transreid.train INFO: Epoch[91] Iter[60/486] Loss: 0.155, Acc: 0.994, Base Lr: 5.56e-05 +2023-08-08 11:41:51 transreid.train INFO: Epoch[91] Iter[80/486] Loss: 0.149, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:41:54 transreid.train INFO: Epoch[91] Iter[100/486] Loss: 0.149, Acc: 0.994, Base Lr: 5.56e-05 +2023-08-08 11:41:57 transreid.train INFO: Epoch[91] Iter[120/486] Loss: 0.147, Acc: 0.994, Base Lr: 5.56e-05 +2023-08-08 11:42:01 transreid.train INFO: Epoch[91] Iter[140/486] Loss: 0.143, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:04 transreid.train INFO: Epoch[91] Iter[160/486] Loss: 0.139, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:07 transreid.train INFO: Epoch[91] Iter[180/486] Loss: 0.139, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:10 transreid.train INFO: Epoch[91] Iter[200/486] Loss: 0.135, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:13 transreid.train INFO: Epoch[91] Iter[220/486] Loss: 0.133, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:17 transreid.train INFO: Epoch[91] Iter[240/486] Loss: 0.130, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:20 transreid.train INFO: Epoch[91] Iter[260/486] Loss: 0.128, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:23 transreid.train INFO: Epoch[91] Iter[280/486] Loss: 0.126, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:26 transreid.train INFO: Epoch[91] Iter[300/486] Loss: 0.124, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:29 transreid.train INFO: Epoch[91] Iter[320/486] Loss: 0.122, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:33 transreid.train INFO: Epoch[91] Iter[340/486] Loss: 0.120, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:36 transreid.train INFO: Epoch[91] Iter[360/486] Loss: 0.118, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:39 transreid.train INFO: Epoch[91] Iter[380/486] Loss: 0.115, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:42 transreid.train INFO: Epoch[91] Iter[400/486] Loss: 0.113, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:45 transreid.train INFO: Epoch[91] Iter[420/486] Loss: 0.111, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:49 transreid.train INFO: Epoch[91] Iter[440/486] Loss: 0.108, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:52 transreid.train INFO: Epoch[91] Iter[460/486] Loss: 0.107, Acc: 0.995, Base Lr: 5.56e-05 +2023-08-08 11:42:54 transreid.train INFO: Epoch 91 done. 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Time per epoch: 76.806[s] Speed: 395.0[samples/s] +2023-08-08 11:44:15 transreid.train INFO: Epoch[93] Iter[20/486] Loss: 0.151, Acc: 0.990, Base Lr: 4.86e-05 +2023-08-08 11:44:18 transreid.train INFO: Epoch[93] Iter[40/486] Loss: 0.144, Acc: 0.991, Base Lr: 4.86e-05 +2023-08-08 11:44:21 transreid.train INFO: Epoch[93] Iter[60/486] Loss: 0.140, Acc: 0.992, Base Lr: 4.86e-05 +2023-08-08 11:44:24 transreid.train INFO: Epoch[93] Iter[80/486] Loss: 0.142, Acc: 0.992, Base Lr: 4.86e-05 +2023-08-08 11:44:28 transreid.train INFO: Epoch[93] Iter[100/486] Loss: 0.142, Acc: 0.993, Base Lr: 4.86e-05 +2023-08-08 11:44:31 transreid.train INFO: Epoch[93] Iter[120/486] Loss: 0.142, Acc: 0.993, Base Lr: 4.86e-05 +2023-08-08 11:44:34 transreid.train INFO: Epoch[93] Iter[140/486] Loss: 0.138, Acc: 0.994, Base Lr: 4.86e-05 +2023-08-08 11:44:37 transreid.train INFO: Epoch[93] Iter[160/486] Loss: 0.137, Acc: 0.993, Base Lr: 4.86e-05 +2023-08-08 11:44:40 transreid.train INFO: Epoch[93] Iter[180/486] Loss: 0.135, Acc: 0.994, Base Lr: 4.86e-05 +2023-08-08 11:44:43 transreid.train INFO: Epoch[93] Iter[200/486] Loss: 0.133, Acc: 0.994, Base Lr: 4.86e-05 +2023-08-08 11:44:47 transreid.train INFO: Epoch[93] Iter[220/486] Loss: 0.131, Acc: 0.994, Base Lr: 4.86e-05 +2023-08-08 11:44:50 transreid.train INFO: Epoch[93] Iter[240/486] Loss: 0.128, Acc: 0.994, Base Lr: 4.86e-05 +2023-08-08 11:44:53 transreid.train INFO: Epoch[93] Iter[260/486] Loss: 0.126, Acc: 0.995, Base Lr: 4.86e-05 +2023-08-08 11:44:56 transreid.train INFO: Epoch[93] Iter[280/486] Loss: 0.125, Acc: 0.995, Base Lr: 4.86e-05 +2023-08-08 11:44:59 transreid.train INFO: Epoch[93] Iter[300/486] Loss: 0.122, Acc: 0.995, Base Lr: 4.86e-05 +2023-08-08 11:45:03 transreid.train INFO: Epoch[93] Iter[320/486] Loss: 0.121, Acc: 0.995, Base Lr: 4.86e-05 +2023-08-08 11:45:06 transreid.train INFO: Epoch[93] Iter[340/486] Loss: 0.119, Acc: 0.995, Base Lr: 4.86e-05 +2023-08-08 11:45:09 transreid.train INFO: Epoch[93] Iter[360/486] Loss: 0.116, Acc: 0.995, Base Lr: 4.86e-05 +2023-08-08 11:45:12 transreid.train INFO: Epoch[93] Iter[380/486] Loss: 0.114, Acc: 0.995, Base Lr: 4.86e-05 +2023-08-08 11:45:15 transreid.train INFO: Epoch[93] Iter[400/486] Loss: 0.112, Acc: 0.995, Base Lr: 4.86e-05 +2023-08-08 11:45:19 transreid.train INFO: Epoch[93] Iter[420/486] Loss: 0.110, Acc: 0.995, Base Lr: 4.86e-05 +2023-08-08 11:45:22 transreid.train INFO: Epoch[93] Iter[440/486] Loss: 0.107, Acc: 0.995, Base Lr: 4.86e-05 +2023-08-08 11:45:25 transreid.train INFO: Epoch[93] Iter[460/486] Loss: 0.104, Acc: 0.995, Base Lr: 4.86e-05 +2023-08-08 11:45:27 transreid.train INFO: Epoch 93 done. Time per epoch: 76.627[s] Speed: 395.9[samples/s] +2023-08-08 11:45:31 transreid.train INFO: Epoch[94] Iter[20/486] Loss: 0.146, Acc: 0.994, Base Lr: 4.53e-05 +2023-08-08 11:45:35 transreid.train INFO: Epoch[94] Iter[40/486] Loss: 0.145, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:45:38 transreid.train INFO: Epoch[94] Iter[60/486] Loss: 0.147, Acc: 0.994, Base Lr: 4.53e-05 +2023-08-08 11:45:41 transreid.train INFO: Epoch[94] Iter[80/486] Loss: 0.141, Acc: 0.994, Base Lr: 4.53e-05 +2023-08-08 11:45:44 transreid.train INFO: Epoch[94] Iter[100/486] Loss: 0.135, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:45:47 transreid.train INFO: Epoch[94] Iter[120/486] Loss: 0.136, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:45:51 transreid.train INFO: Epoch[94] Iter[140/486] Loss: 0.134, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:45:54 transreid.train INFO: Epoch[94] Iter[160/486] Loss: 0.131, Acc: 0.996, Base Lr: 4.53e-05 +2023-08-08 11:45:57 transreid.train INFO: Epoch[94] Iter[180/486] Loss: 0.131, Acc: 0.996, Base Lr: 4.53e-05 +2023-08-08 11:46:00 transreid.train INFO: Epoch[94] Iter[200/486] Loss: 0.129, Acc: 0.996, Base Lr: 4.53e-05 +2023-08-08 11:46:03 transreid.train INFO: Epoch[94] Iter[220/486] Loss: 0.128, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:46:06 transreid.train INFO: Epoch[94] Iter[240/486] Loss: 0.125, Acc: 0.996, Base Lr: 4.53e-05 +2023-08-08 11:46:10 transreid.train INFO: Epoch[94] Iter[260/486] Loss: 0.124, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:46:13 transreid.train INFO: Epoch[94] Iter[280/486] Loss: 0.122, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:46:16 transreid.train INFO: Epoch[94] Iter[300/486] Loss: 0.122, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:46:19 transreid.train INFO: Epoch[94] Iter[320/486] Loss: 0.121, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:46:22 transreid.train INFO: Epoch[94] Iter[340/486] Loss: 0.120, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:46:26 transreid.train INFO: Epoch[94] Iter[360/486] Loss: 0.118, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:46:29 transreid.train INFO: Epoch[94] Iter[380/486] Loss: 0.117, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:46:32 transreid.train INFO: Epoch[94] Iter[400/486] Loss: 0.114, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:46:35 transreid.train INFO: Epoch[94] Iter[420/486] Loss: 0.112, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:46:38 transreid.train INFO: Epoch[94] Iter[440/486] Loss: 0.110, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:46:42 transreid.train INFO: Epoch[94] Iter[460/486] Loss: 0.108, Acc: 0.995, Base Lr: 4.53e-05 +2023-08-08 11:46:44 transreid.train INFO: Epoch 94 done. Time per epoch: 76.682[s] Speed: 395.6[samples/s] +2023-08-08 11:46:48 transreid.train INFO: Epoch[95] Iter[20/486] Loss: 0.132, Acc: 0.997, Base Lr: 4.20e-05 +2023-08-08 11:46:51 transreid.train INFO: Epoch[95] Iter[40/486] Loss: 0.134, Acc: 0.996, Base Lr: 4.20e-05 +2023-08-08 11:46:54 transreid.train INFO: Epoch[95] Iter[60/486] Loss: 0.138, Acc: 0.996, Base Lr: 4.20e-05 +2023-08-08 11:46:58 transreid.train INFO: Epoch[95] Iter[80/486] Loss: 0.135, Acc: 0.995, Base Lr: 4.20e-05 +2023-08-08 11:47:01 transreid.train INFO: Epoch[95] Iter[100/486] Loss: 0.133, Acc: 0.996, Base Lr: 4.20e-05 +2023-08-08 11:47:04 transreid.train INFO: Epoch[95] Iter[120/486] Loss: 0.131, Acc: 0.996, Base Lr: 4.20e-05 +2023-08-08 11:47:07 transreid.train INFO: Epoch[95] Iter[140/486] Loss: 0.131, Acc: 0.995, Base Lr: 4.20e-05 +2023-08-08 11:47:10 transreid.train INFO: Epoch[95] Iter[160/486] Loss: 0.128, Acc: 0.995, Base Lr: 4.20e-05 +2023-08-08 11:47:14 transreid.train INFO: Epoch[95] Iter[180/486] Loss: 0.126, Acc: 0.995, Base Lr: 4.20e-05 +2023-08-08 11:47:17 transreid.train INFO: Epoch[95] Iter[200/486] Loss: 0.125, Acc: 0.995, Base Lr: 4.20e-05 +2023-08-08 11:47:20 transreid.train INFO: Epoch[95] Iter[220/486] Loss: 0.123, Acc: 0.995, Base Lr: 4.20e-05 +2023-08-08 11:47:23 transreid.train INFO: Epoch[95] Iter[240/486] Loss: 0.124, Acc: 0.995, Base Lr: 4.20e-05 +2023-08-08 11:47:27 transreid.train INFO: Epoch[95] Iter[260/486] Loss: 0.122, Acc: 0.995, Base Lr: 4.20e-05 +2023-08-08 11:47:30 transreid.train INFO: Epoch[95] Iter[280/486] Loss: 0.120, Acc: 0.995, Base Lr: 4.20e-05 +2023-08-08 11:47:33 transreid.train INFO: Epoch[95] Iter[300/486] Loss: 0.118, Acc: 0.995, Base Lr: 4.20e-05 +2023-08-08 11:47:36 transreid.train INFO: Epoch[95] Iter[320/486] Loss: 0.117, Acc: 0.995, Base Lr: 4.20e-05 +2023-08-08 11:47:40 transreid.train INFO: Epoch[95] Iter[340/486] Loss: 0.115, Acc: 0.995, Base Lr: 4.20e-05 +2023-08-08 11:47:43 transreid.train INFO: Epoch[95] Iter[360/486] Loss: 0.113, Acc: 0.995, Base Lr: 4.20e-05 +2023-08-08 11:47:46 transreid.train INFO: Epoch[95] Iter[380/486] Loss: 0.111, Acc: 0.995, Base Lr: 4.20e-05 +2023-08-08 11:47:49 transreid.train INFO: Epoch[95] Iter[400/486] Loss: 0.108, Acc: 0.996, Base Lr: 4.20e-05 +2023-08-08 11:47:52 transreid.train INFO: Epoch[95] Iter[420/486] Loss: 0.106, Acc: 0.996, Base Lr: 4.20e-05 +2023-08-08 11:47:56 transreid.train INFO: Epoch[95] Iter[440/486] Loss: 0.104, Acc: 0.996, Base Lr: 4.20e-05 +2023-08-08 11:47:59 transreid.train INFO: Epoch[95] Iter[460/486] Loss: 0.103, Acc: 0.996, Base Lr: 4.20e-05 +2023-08-08 11:48:01 transreid.train INFO: Epoch 95 done. 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Time per epoch: 76.894[s] Speed: 394.5[samples/s] +2023-08-08 11:49:22 transreid.train INFO: Epoch[97] Iter[20/486] Loss: 0.157, Acc: 0.994, Base Lr: 3.59e-05 +2023-08-08 11:49:25 transreid.train INFO: Epoch[97] Iter[40/486] Loss: 0.151, Acc: 0.993, Base Lr: 3.59e-05 +2023-08-08 11:49:28 transreid.train INFO: Epoch[97] Iter[60/486] Loss: 0.142, Acc: 0.994, Base Lr: 3.59e-05 +2023-08-08 11:49:31 transreid.train INFO: Epoch[97] Iter[80/486] Loss: 0.140, Acc: 0.993, Base Lr: 3.59e-05 +2023-08-08 11:49:35 transreid.train INFO: Epoch[97] Iter[100/486] Loss: 0.139, Acc: 0.993, Base Lr: 3.59e-05 +2023-08-08 11:49:38 transreid.train INFO: Epoch[97] Iter[120/486] Loss: 0.136, Acc: 0.993, Base Lr: 3.59e-05 +2023-08-08 11:49:41 transreid.train INFO: Epoch[97] Iter[140/486] Loss: 0.135, Acc: 0.994, Base Lr: 3.59e-05 +2023-08-08 11:49:44 transreid.train INFO: Epoch[97] Iter[160/486] Loss: 0.133, Acc: 0.994, Base Lr: 3.59e-05 +2023-08-08 11:49:47 transreid.train INFO: Epoch[97] Iter[180/486] Loss: 0.128, Acc: 0.995, Base Lr: 3.59e-05 +2023-08-08 11:49:51 transreid.train INFO: Epoch[97] Iter[200/486] Loss: 0.126, Acc: 0.995, Base Lr: 3.59e-05 +2023-08-08 11:49:54 transreid.train INFO: Epoch[97] Iter[220/486] Loss: 0.125, Acc: 0.995, Base Lr: 3.59e-05 +2023-08-08 11:49:57 transreid.train INFO: Epoch[97] Iter[240/486] Loss: 0.123, Acc: 0.995, Base Lr: 3.59e-05 +2023-08-08 11:50:00 transreid.train INFO: Epoch[97] Iter[260/486] Loss: 0.122, Acc: 0.995, Base Lr: 3.59e-05 +2023-08-08 11:50:03 transreid.train INFO: Epoch[97] Iter[280/486] Loss: 0.120, Acc: 0.996, Base Lr: 3.59e-05 +2023-08-08 11:50:07 transreid.train INFO: Epoch[97] Iter[300/486] Loss: 0.118, Acc: 0.996, Base Lr: 3.59e-05 +2023-08-08 11:50:10 transreid.train INFO: Epoch[97] Iter[320/486] Loss: 0.116, Acc: 0.996, Base Lr: 3.59e-05 +2023-08-08 11:50:13 transreid.train INFO: Epoch[97] Iter[340/486] Loss: 0.114, Acc: 0.996, Base Lr: 3.59e-05 +2023-08-08 11:50:16 transreid.train INFO: Epoch[97] Iter[360/486] Loss: 0.111, Acc: 0.996, Base Lr: 3.59e-05 +2023-08-08 11:50:19 transreid.train INFO: Epoch[97] Iter[380/486] Loss: 0.110, Acc: 0.996, Base Lr: 3.59e-05 +2023-08-08 11:50:23 transreid.train INFO: Epoch[97] Iter[400/486] Loss: 0.108, Acc: 0.996, Base Lr: 3.59e-05 +2023-08-08 11:50:26 transreid.train INFO: Epoch[97] Iter[420/486] Loss: 0.106, Acc: 0.996, Base Lr: 3.59e-05 +2023-08-08 11:50:29 transreid.train INFO: Epoch[97] Iter[440/486] Loss: 0.103, Acc: 0.996, Base Lr: 3.59e-05 +2023-08-08 11:50:32 transreid.train INFO: Epoch[97] Iter[460/486] Loss: 0.102, Acc: 0.996, Base Lr: 3.59e-05 +2023-08-08 11:50:34 transreid.train INFO: Epoch 97 done. Time per epoch: 76.455[s] Speed: 395.9[samples/s] +2023-08-08 11:50:38 transreid.train INFO: Epoch[98] Iter[20/486] Loss: 0.157, Acc: 0.994, Base Lr: 3.30e-05 +2023-08-08 11:50:42 transreid.train INFO: Epoch[98] Iter[40/486] Loss: 0.147, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:50:45 transreid.train INFO: Epoch[98] Iter[60/486] Loss: 0.148, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:50:48 transreid.train INFO: Epoch[98] Iter[80/486] Loss: 0.147, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:50:51 transreid.train INFO: Epoch[98] Iter[100/486] Loss: 0.145, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:50:54 transreid.train INFO: Epoch[98] Iter[120/486] Loss: 0.143, Acc: 0.994, Base Lr: 3.30e-05 +2023-08-08 11:50:58 transreid.train INFO: Epoch[98] Iter[140/486] Loss: 0.139, Acc: 0.994, Base Lr: 3.30e-05 +2023-08-08 11:51:01 transreid.train INFO: Epoch[98] Iter[160/486] Loss: 0.136, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:51:04 transreid.train INFO: Epoch[98] Iter[180/486] Loss: 0.135, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:51:07 transreid.train INFO: Epoch[98] Iter[200/486] Loss: 0.131, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:51:10 transreid.train INFO: Epoch[98] Iter[220/486] Loss: 0.129, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:51:14 transreid.train INFO: Epoch[98] Iter[240/486] Loss: 0.127, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:51:17 transreid.train INFO: Epoch[98] Iter[260/486] Loss: 0.124, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:51:20 transreid.train INFO: Epoch[98] Iter[280/486] Loss: 0.123, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:51:23 transreid.train INFO: Epoch[98] Iter[300/486] Loss: 0.122, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:51:26 transreid.train INFO: Epoch[98] Iter[320/486] Loss: 0.119, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:51:30 transreid.train INFO: Epoch[98] Iter[340/486] Loss: 0.117, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:51:33 transreid.train INFO: Epoch[98] Iter[360/486] Loss: 0.115, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:51:36 transreid.train INFO: Epoch[98] Iter[380/486] Loss: 0.113, Acc: 0.995, Base Lr: 3.30e-05 +2023-08-08 11:51:39 transreid.train INFO: Epoch[98] Iter[400/486] Loss: 0.111, Acc: 0.996, Base Lr: 3.30e-05 +2023-08-08 11:51:42 transreid.train INFO: Epoch[98] Iter[420/486] Loss: 0.108, Acc: 0.996, Base Lr: 3.30e-05 +2023-08-08 11:51:46 transreid.train INFO: Epoch[98] Iter[440/486] Loss: 0.106, Acc: 0.996, Base Lr: 3.30e-05 +2023-08-08 11:51:49 transreid.train INFO: Epoch[98] Iter[460/486] Loss: 0.104, Acc: 0.996, Base Lr: 3.30e-05 +2023-08-08 11:51:51 transreid.train INFO: Epoch 98 done. 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Time per epoch: 76.809[s] Speed: 395.8[samples/s] +2023-08-08 11:54:29 transreid.train INFO: Epoch[101] Iter[20/486] Loss: 0.152, Acc: 0.991, Base Lr: 2.50e-05 +2023-08-08 11:54:32 transreid.train INFO: Epoch[101] Iter[40/486] Loss: 0.144, Acc: 0.993, Base Lr: 2.50e-05 +2023-08-08 11:54:35 transreid.train INFO: Epoch[101] Iter[60/486] Loss: 0.141, Acc: 0.993, Base Lr: 2.50e-05 +2023-08-08 11:54:38 transreid.train INFO: Epoch[101] Iter[80/486] Loss: 0.140, Acc: 0.993, Base Lr: 2.50e-05 +2023-08-08 11:54:41 transreid.train INFO: Epoch[101] Iter[100/486] Loss: 0.138, Acc: 0.994, Base Lr: 2.50e-05 +2023-08-08 11:54:44 transreid.train INFO: Epoch[101] Iter[120/486] Loss: 0.134, Acc: 0.994, Base Lr: 2.50e-05 +2023-08-08 11:54:48 transreid.train INFO: Epoch[101] Iter[140/486] Loss: 0.134, Acc: 0.994, Base Lr: 2.50e-05 +2023-08-08 11:54:51 transreid.train INFO: Epoch[101] Iter[160/486] Loss: 0.131, Acc: 0.994, Base Lr: 2.50e-05 +2023-08-08 11:54:54 transreid.train INFO: Epoch[101] Iter[180/486] Loss: 0.130, Acc: 0.994, Base Lr: 2.50e-05 +2023-08-08 11:54:57 transreid.train INFO: Epoch[101] Iter[200/486] Loss: 0.127, Acc: 0.994, Base Lr: 2.50e-05 +2023-08-08 11:55:00 transreid.train INFO: Epoch[101] Iter[220/486] Loss: 0.126, Acc: 0.994, Base Lr: 2.50e-05 +2023-08-08 11:55:04 transreid.train INFO: Epoch[101] Iter[240/486] Loss: 0.123, Acc: 0.994, Base Lr: 2.50e-05 +2023-08-08 11:55:07 transreid.train INFO: Epoch[101] Iter[260/486] Loss: 0.121, Acc: 0.994, Base Lr: 2.50e-05 +2023-08-08 11:55:10 transreid.train INFO: Epoch[101] Iter[280/486] Loss: 0.119, Acc: 0.994, Base Lr: 2.50e-05 +2023-08-08 11:55:13 transreid.train INFO: Epoch[101] Iter[300/486] Loss: 0.117, Acc: 0.995, Base Lr: 2.50e-05 +2023-08-08 11:55:16 transreid.train INFO: Epoch[101] Iter[320/486] Loss: 0.115, Acc: 0.995, Base Lr: 2.50e-05 +2023-08-08 11:55:19 transreid.train INFO: Epoch[101] Iter[340/486] Loss: 0.113, Acc: 0.995, Base Lr: 2.50e-05 +2023-08-08 11:55:23 transreid.train INFO: Epoch[101] Iter[360/486] Loss: 0.111, Acc: 0.995, Base Lr: 2.50e-05 +2023-08-08 11:55:26 transreid.train INFO: Epoch[101] Iter[380/486] Loss: 0.109, Acc: 0.995, Base Lr: 2.50e-05 +2023-08-08 11:55:29 transreid.train INFO: Epoch[101] Iter[400/486] Loss: 0.107, Acc: 0.995, Base Lr: 2.50e-05 +2023-08-08 11:55:32 transreid.train INFO: Epoch[101] Iter[420/486] Loss: 0.104, Acc: 0.995, Base Lr: 2.50e-05 +2023-08-08 11:55:35 transreid.train INFO: Epoch[101] Iter[440/486] Loss: 0.103, Acc: 0.995, Base Lr: 2.50e-05 +2023-08-08 11:55:39 transreid.train INFO: Epoch[101] Iter[460/486] Loss: 0.100, Acc: 0.996, Base Lr: 2.50e-05 +2023-08-08 11:55:41 transreid.train INFO: Epoch 101 done. 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Time per epoch: 76.089[s] Speed: 396.2[samples/s] +2023-08-08 11:59:34 transreid.train INFO: Epoch[105] Iter[20/486] Loss: 0.141, Acc: 0.991, Base Lr: 1.60e-05 +2023-08-08 11:59:37 transreid.train INFO: Epoch[105] Iter[40/486] Loss: 0.132, Acc: 0.993, Base Lr: 1.60e-05 +2023-08-08 11:59:40 transreid.train INFO: Epoch[105] Iter[60/486] Loss: 0.136, Acc: 0.993, Base Lr: 1.60e-05 +2023-08-08 11:59:44 transreid.train INFO: Epoch[105] Iter[80/486] Loss: 0.140, Acc: 0.994, Base Lr: 1.60e-05 +2023-08-08 11:59:47 transreid.train INFO: Epoch[105] Iter[100/486] Loss: 0.137, Acc: 0.994, Base Lr: 1.60e-05 +2023-08-08 11:59:50 transreid.train INFO: Epoch[105] Iter[120/486] Loss: 0.135, Acc: 0.995, Base Lr: 1.60e-05 +2023-08-08 11:59:53 transreid.train INFO: Epoch[105] Iter[140/486] Loss: 0.136, Acc: 0.994, Base Lr: 1.60e-05 +2023-08-08 11:59:56 transreid.train INFO: Epoch[105] Iter[160/486] Loss: 0.136, Acc: 0.994, Base Lr: 1.60e-05 +2023-08-08 11:59:59 transreid.train INFO: Epoch[105] Iter[180/486] Loss: 0.132, Acc: 0.995, Base Lr: 1.60e-05 +2023-08-08 12:00:03 transreid.train INFO: Epoch[105] Iter[200/486] Loss: 0.130, Acc: 0.994, Base Lr: 1.60e-05 +2023-08-08 12:00:06 transreid.train INFO: Epoch[105] Iter[220/486] Loss: 0.127, Acc: 0.995, Base Lr: 1.60e-05 +2023-08-08 12:00:09 transreid.train INFO: Epoch[105] Iter[240/486] Loss: 0.125, Acc: 0.995, Base Lr: 1.60e-05 +2023-08-08 12:00:12 transreid.train INFO: Epoch[105] Iter[260/486] Loss: 0.122, Acc: 0.995, Base Lr: 1.60e-05 +2023-08-08 12:00:15 transreid.train INFO: Epoch[105] Iter[280/486] Loss: 0.120, Acc: 0.995, Base Lr: 1.60e-05 +2023-08-08 12:00:19 transreid.train INFO: Epoch[105] Iter[300/486] Loss: 0.118, Acc: 0.995, Base Lr: 1.60e-05 +2023-08-08 12:00:22 transreid.train INFO: Epoch[105] Iter[320/486] Loss: 0.115, Acc: 0.995, Base Lr: 1.60e-05 +2023-08-08 12:00:25 transreid.train INFO: Epoch[105] Iter[340/486] Loss: 0.113, Acc: 0.995, Base Lr: 1.60e-05 +2023-08-08 12:00:28 transreid.train INFO: Epoch[105] Iter[360/486] Loss: 0.111, Acc: 0.995, Base Lr: 1.60e-05 +2023-08-08 12:00:31 transreid.train INFO: Epoch[105] Iter[380/486] Loss: 0.110, Acc: 0.995, Base Lr: 1.60e-05 +2023-08-08 12:00:34 transreid.train INFO: Epoch[105] Iter[400/486] Loss: 0.109, Acc: 0.996, Base Lr: 1.60e-05 +2023-08-08 12:00:38 transreid.train INFO: Epoch[105] Iter[420/486] Loss: 0.110, Acc: 0.995, Base Lr: 1.60e-05 +2023-08-08 12:00:41 transreid.train INFO: Epoch[105] Iter[440/486] Loss: 0.108, Acc: 0.995, Base Lr: 1.60e-05 +2023-08-08 12:00:44 transreid.train INFO: Epoch[105] Iter[460/486] Loss: 0.107, Acc: 0.996, Base Lr: 1.60e-05 +2023-08-08 12:00:46 transreid.train INFO: Epoch 105 done. 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Time per epoch: 76.260[s] Speed: 396.1[samples/s] +2023-08-08 12:07:12 transreid.train INFO: Epoch[111] Iter[20/486] Loss: 0.142, Acc: 0.994, Base Lr: 6.31e-06 +2023-08-08 12:07:16 transreid.train INFO: Epoch[111] Iter[40/486] Loss: 0.143, Acc: 0.995, Base Lr: 6.31e-06 +2023-08-08 12:07:19 transreid.train INFO: Epoch[111] Iter[60/486] Loss: 0.139, Acc: 0.994, Base Lr: 6.31e-06 +2023-08-08 12:07:22 transreid.train INFO: Epoch[111] Iter[80/486] Loss: 0.138, Acc: 0.994, Base Lr: 6.31e-06 +2023-08-08 12:07:25 transreid.train INFO: Epoch[111] Iter[100/486] Loss: 0.139, Acc: 0.995, Base Lr: 6.31e-06 +2023-08-08 12:07:28 transreid.train INFO: Epoch[111] Iter[120/486] Loss: 0.135, Acc: 0.995, Base Lr: 6.31e-06 +2023-08-08 12:07:31 transreid.train INFO: Epoch[111] Iter[140/486] Loss: 0.134, Acc: 0.995, Base Lr: 6.31e-06 +2023-08-08 12:07:35 transreid.train INFO: Epoch[111] Iter[160/486] Loss: 0.136, Acc: 0.995, Base Lr: 6.31e-06 +2023-08-08 12:07:38 transreid.train INFO: Epoch[111] Iter[180/486] Loss: 0.133, Acc: 0.995, Base Lr: 6.31e-06 +2023-08-08 12:07:41 transreid.train INFO: Epoch[111] Iter[200/486] Loss: 0.130, Acc: 0.996, Base Lr: 6.31e-06 +2023-08-08 12:07:44 transreid.train INFO: Epoch[111] Iter[220/486] Loss: 0.127, Acc: 0.996, Base Lr: 6.31e-06 +2023-08-08 12:07:47 transreid.train INFO: Epoch[111] Iter[240/486] Loss: 0.125, Acc: 0.995, Base Lr: 6.31e-06 +2023-08-08 12:07:50 transreid.train INFO: Epoch[111] Iter[260/486] Loss: 0.124, Acc: 0.995, Base Lr: 6.31e-06 +2023-08-08 12:07:54 transreid.train INFO: Epoch[111] Iter[280/486] Loss: 0.122, Acc: 0.995, Base Lr: 6.31e-06 +2023-08-08 12:07:57 transreid.train INFO: Epoch[111] Iter[300/486] Loss: 0.119, Acc: 0.995, Base Lr: 6.31e-06 +2023-08-08 12:08:00 transreid.train INFO: Epoch[111] Iter[320/486] Loss: 0.117, Acc: 0.995, Base Lr: 6.31e-06 +2023-08-08 12:08:03 transreid.train INFO: Epoch[111] Iter[340/486] Loss: 0.113, Acc: 0.996, Base Lr: 6.31e-06 +2023-08-08 12:08:06 transreid.train INFO: Epoch[111] Iter[360/486] Loss: 0.111, Acc: 0.996, Base Lr: 6.31e-06 +2023-08-08 12:08:10 transreid.train INFO: Epoch[111] Iter[380/486] Loss: 0.109, Acc: 0.996, Base Lr: 6.31e-06 +2023-08-08 12:08:13 transreid.train INFO: Epoch[111] Iter[400/486] Loss: 0.107, Acc: 0.996, Base Lr: 6.31e-06 +2023-08-08 12:08:16 transreid.train INFO: Epoch[111] Iter[420/486] Loss: 0.106, Acc: 0.996, Base Lr: 6.31e-06 +2023-08-08 12:08:19 transreid.train INFO: Epoch[111] Iter[440/486] Loss: 0.104, Acc: 0.996, Base Lr: 6.31e-06 +2023-08-08 12:08:22 transreid.train INFO: Epoch[111] Iter[460/486] Loss: 0.102, Acc: 0.996, Base Lr: 6.31e-06 +2023-08-08 12:08:24 transreid.train INFO: Epoch 111 done. 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Time per epoch: 76.664[s] Speed: 396.5[samples/s] +2023-08-08 12:09:45 transreid.train INFO: Epoch[113] Iter[20/486] Loss: 0.144, Acc: 0.991, Base Lr: 4.14e-06 +2023-08-08 12:09:49 transreid.train INFO: Epoch[113] Iter[40/486] Loss: 0.132, Acc: 0.994, Base Lr: 4.14e-06 +2023-08-08 12:09:52 transreid.train INFO: Epoch[113] Iter[60/486] Loss: 0.132, Acc: 0.993, Base Lr: 4.14e-06 +2023-08-08 12:09:55 transreid.train INFO: Epoch[113] Iter[80/486] Loss: 0.129, Acc: 0.994, Base Lr: 4.14e-06 +2023-08-08 12:09:58 transreid.train INFO: Epoch[113] Iter[100/486] Loss: 0.127, Acc: 0.994, Base Lr: 4.14e-06 +2023-08-08 12:10:01 transreid.train INFO: Epoch[113] Iter[120/486] Loss: 0.125, Acc: 0.995, Base Lr: 4.14e-06 +2023-08-08 12:10:05 transreid.train INFO: Epoch[113] Iter[140/486] Loss: 0.125, Acc: 0.994, Base Lr: 4.14e-06 +2023-08-08 12:10:08 transreid.train INFO: Epoch[113] Iter[160/486] Loss: 0.122, Acc: 0.994, Base Lr: 4.14e-06 +2023-08-08 12:10:11 transreid.train INFO: Epoch[113] Iter[180/486] Loss: 0.120, Acc: 0.995, Base Lr: 4.14e-06 +2023-08-08 12:10:14 transreid.train INFO: Epoch[113] Iter[200/486] Loss: 0.122, Acc: 0.995, Base Lr: 4.14e-06 +2023-08-08 12:10:17 transreid.train INFO: Epoch[113] Iter[220/486] Loss: 0.119, Acc: 0.995, Base Lr: 4.14e-06 +2023-08-08 12:10:20 transreid.train INFO: Epoch[113] Iter[240/486] Loss: 0.117, Acc: 0.995, Base Lr: 4.14e-06 +2023-08-08 12:10:24 transreid.train INFO: Epoch[113] Iter[260/486] Loss: 0.117, Acc: 0.995, Base Lr: 4.14e-06 +2023-08-08 12:10:27 transreid.train INFO: Epoch[113] Iter[280/486] Loss: 0.116, Acc: 0.995, Base Lr: 4.14e-06 +2023-08-08 12:10:30 transreid.train INFO: Epoch[113] Iter[300/486] Loss: 0.114, Acc: 0.995, Base Lr: 4.14e-06 +2023-08-08 12:10:33 transreid.train INFO: Epoch[113] Iter[320/486] Loss: 0.111, Acc: 0.995, Base Lr: 4.14e-06 +2023-08-08 12:10:36 transreid.train INFO: Epoch[113] Iter[340/486] Loss: 0.110, Acc: 0.995, Base Lr: 4.14e-06 +2023-08-08 12:10:39 transreid.train INFO: Epoch[113] Iter[360/486] Loss: 0.108, Acc: 0.995, Base Lr: 4.14e-06 +2023-08-08 12:10:43 transreid.train INFO: Epoch[113] Iter[380/486] Loss: 0.106, Acc: 0.995, Base Lr: 4.14e-06 +2023-08-08 12:10:46 transreid.train INFO: Epoch[113] Iter[400/486] Loss: 0.104, Acc: 0.995, Base Lr: 4.14e-06 +2023-08-08 12:10:49 transreid.train INFO: Epoch[113] Iter[420/486] Loss: 0.102, Acc: 0.995, Base Lr: 4.14e-06 +2023-08-08 12:10:52 transreid.train INFO: Epoch[113] Iter[440/486] Loss: 0.100, Acc: 0.996, Base Lr: 4.14e-06 +2023-08-08 12:10:55 transreid.train INFO: Epoch[113] Iter[460/486] Loss: 0.097, Acc: 0.996, Base Lr: 4.14e-06 +2023-08-08 12:10:58 transreid.train INFO: Epoch 113 done. Time per epoch: 76.433[s] Speed: 396.1[samples/s] +2023-08-08 12:11:02 transreid.train INFO: Epoch[114] Iter[20/486] Loss: 0.111, Acc: 0.998, Base Lr: 3.26e-06 +2023-08-08 12:11:05 transreid.train INFO: Epoch[114] Iter[40/486] Loss: 0.134, Acc: 0.993, Base Lr: 3.26e-06 +2023-08-08 12:11:08 transreid.train INFO: Epoch[114] Iter[60/486] Loss: 0.140, Acc: 0.993, Base Lr: 3.26e-06 +2023-08-08 12:11:11 transreid.train INFO: Epoch[114] Iter[80/486] Loss: 0.139, Acc: 0.993, Base Lr: 3.26e-06 +2023-08-08 12:11:15 transreid.train INFO: Epoch[114] Iter[100/486] Loss: 0.137, Acc: 0.994, Base Lr: 3.26e-06 +2023-08-08 12:11:18 transreid.train INFO: Epoch[114] Iter[120/486] Loss: 0.131, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:11:21 transreid.train INFO: Epoch[114] Iter[140/486] Loss: 0.131, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:11:24 transreid.train INFO: Epoch[114] Iter[160/486] Loss: 0.131, Acc: 0.994, Base Lr: 3.26e-06 +2023-08-08 12:11:27 transreid.train INFO: Epoch[114] Iter[180/486] Loss: 0.129, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:11:31 transreid.train INFO: Epoch[114] Iter[200/486] Loss: 0.126, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:11:34 transreid.train INFO: Epoch[114] Iter[220/486] Loss: 0.124, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:11:37 transreid.train INFO: Epoch[114] Iter[240/486] Loss: 0.122, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:11:40 transreid.train INFO: Epoch[114] Iter[260/486] Loss: 0.120, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:11:43 transreid.train INFO: Epoch[114] Iter[280/486] Loss: 0.117, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:11:46 transreid.train INFO: Epoch[114] Iter[300/486] Loss: 0.116, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:11:50 transreid.train INFO: Epoch[114] Iter[320/486] Loss: 0.114, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:11:53 transreid.train INFO: Epoch[114] Iter[340/486] Loss: 0.111, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:11:56 transreid.train INFO: Epoch[114] Iter[360/486] Loss: 0.109, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:11:59 transreid.train INFO: Epoch[114] Iter[380/486] Loss: 0.108, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:12:02 transreid.train INFO: Epoch[114] Iter[400/486] Loss: 0.107, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:12:06 transreid.train INFO: Epoch[114] Iter[420/486] Loss: 0.105, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:12:09 transreid.train INFO: Epoch[114] Iter[440/486] Loss: 0.103, Acc: 0.995, Base Lr: 3.26e-06 +2023-08-08 12:12:12 transreid.train INFO: Epoch[114] Iter[460/486] Loss: 0.100, Acc: 0.996, Base Lr: 3.26e-06 +2023-08-08 12:12:14 transreid.train INFO: Epoch 114 done. Time per epoch: 76.738[s] Speed: 395.3[samples/s] +2023-08-08 12:12:18 transreid.train INFO: Epoch[115] Iter[20/486] Loss: 0.135, Acc: 0.995, Base Lr: 2.51e-06 +2023-08-08 12:12:22 transreid.train INFO: Epoch[115] Iter[40/486] Loss: 0.138, Acc: 0.996, Base Lr: 2.51e-06 +2023-08-08 12:12:25 transreid.train INFO: Epoch[115] Iter[60/486] Loss: 0.137, Acc: 0.995, Base Lr: 2.51e-06 +2023-08-08 12:12:28 transreid.train INFO: Epoch[115] Iter[80/486] Loss: 0.132, Acc: 0.996, Base Lr: 2.51e-06 +2023-08-08 12:12:31 transreid.train INFO: Epoch[115] Iter[100/486] Loss: 0.138, Acc: 0.994, Base Lr: 2.51e-06 +2023-08-08 12:12:34 transreid.train INFO: Epoch[115] Iter[120/486] Loss: 0.133, Acc: 0.994, Base Lr: 2.51e-06 +2023-08-08 12:12:38 transreid.train INFO: Epoch[115] Iter[140/486] Loss: 0.131, Acc: 0.995, Base Lr: 2.51e-06 +2023-08-08 12:12:41 transreid.train INFO: Epoch[115] Iter[160/486] Loss: 0.129, Acc: 0.995, Base Lr: 2.51e-06 +2023-08-08 12:12:44 transreid.train INFO: Epoch[115] Iter[180/486] Loss: 0.127, Acc: 0.995, Base Lr: 2.51e-06 +2023-08-08 12:12:47 transreid.train INFO: Epoch[115] Iter[200/486] Loss: 0.128, Acc: 0.995, Base Lr: 2.51e-06 +2023-08-08 12:12:50 transreid.train INFO: Epoch[115] Iter[220/486] Loss: 0.125, Acc: 0.995, Base Lr: 2.51e-06 +2023-08-08 12:12:53 transreid.train INFO: Epoch[115] Iter[240/486] Loss: 0.122, Acc: 0.995, Base Lr: 2.51e-06 +2023-08-08 12:12:57 transreid.train INFO: Epoch[115] Iter[260/486] Loss: 0.121, Acc: 0.995, Base Lr: 2.51e-06 +2023-08-08 12:13:00 transreid.train INFO: Epoch[115] Iter[280/486] Loss: 0.118, Acc: 0.995, Base Lr: 2.51e-06 +2023-08-08 12:13:03 transreid.train INFO: Epoch[115] Iter[300/486] Loss: 0.116, Acc: 0.996, Base Lr: 2.51e-06 +2023-08-08 12:13:06 transreid.train INFO: Epoch[115] Iter[320/486] Loss: 0.114, Acc: 0.996, Base Lr: 2.51e-06 +2023-08-08 12:13:09 transreid.train INFO: Epoch[115] Iter[340/486] Loss: 0.111, Acc: 0.996, Base Lr: 2.51e-06 +2023-08-08 12:13:13 transreid.train INFO: Epoch[115] Iter[360/486] Loss: 0.109, Acc: 0.996, Base Lr: 2.51e-06 +2023-08-08 12:13:16 transreid.train INFO: Epoch[115] Iter[380/486] Loss: 0.107, Acc: 0.996, Base Lr: 2.51e-06 +2023-08-08 12:13:19 transreid.train INFO: Epoch[115] Iter[400/486] Loss: 0.106, Acc: 0.996, Base Lr: 2.51e-06 +2023-08-08 12:13:22 transreid.train INFO: Epoch[115] Iter[420/486] Loss: 0.104, Acc: 0.996, Base Lr: 2.51e-06 +2023-08-08 12:13:25 transreid.train INFO: Epoch[115] Iter[440/486] Loss: 0.102, Acc: 0.996, Base Lr: 2.51e-06 +2023-08-08 12:13:28 transreid.train INFO: Epoch[115] Iter[460/486] Loss: 0.100, Acc: 0.996, Base Lr: 2.51e-06 +2023-08-08 12:13:30 transreid.train INFO: Epoch 115 done. Time per epoch: 76.127[s] Speed: 396.8[samples/s] +2023-08-08 12:13:35 transreid.train INFO: Epoch[116] Iter[20/486] Loss: 0.143, Acc: 0.995, Base Lr: 1.89e-06 +2023-08-08 12:13:38 transreid.train INFO: Epoch[116] Iter[40/486] Loss: 0.154, Acc: 0.991, Base Lr: 1.89e-06 +2023-08-08 12:13:41 transreid.train INFO: Epoch[116] Iter[60/486] Loss: 0.145, Acc: 0.993, Base Lr: 1.89e-06 +2023-08-08 12:13:44 transreid.train INFO: Epoch[116] Iter[80/486] Loss: 0.142, Acc: 0.994, Base Lr: 1.89e-06 +2023-08-08 12:13:47 transreid.train INFO: Epoch[116] Iter[100/486] Loss: 0.139, Acc: 0.994, Base Lr: 1.89e-06 +2023-08-08 12:13:50 transreid.train INFO: Epoch[116] Iter[120/486] Loss: 0.133, Acc: 0.994, Base Lr: 1.89e-06 +2023-08-08 12:13:54 transreid.train INFO: Epoch[116] Iter[140/486] Loss: 0.133, Acc: 0.995, Base Lr: 1.89e-06 +2023-08-08 12:13:57 transreid.train INFO: Epoch[116] Iter[160/486] Loss: 0.128, Acc: 0.995, Base Lr: 1.89e-06 +2023-08-08 12:14:00 transreid.train INFO: Epoch[116] Iter[180/486] Loss: 0.130, Acc: 0.995, Base Lr: 1.89e-06 +2023-08-08 12:14:03 transreid.train INFO: Epoch[116] Iter[200/486] Loss: 0.130, Acc: 0.994, Base Lr: 1.89e-06 +2023-08-08 12:14:06 transreid.train INFO: Epoch[116] Iter[220/486] Loss: 0.130, Acc: 0.994, Base Lr: 1.89e-06 +2023-08-08 12:14:09 transreid.train INFO: Epoch[116] Iter[240/486] Loss: 0.127, Acc: 0.994, Base Lr: 1.89e-06 +2023-08-08 12:14:13 transreid.train INFO: Epoch[116] Iter[260/486] Loss: 0.125, Acc: 0.995, Base Lr: 1.89e-06 +2023-08-08 12:14:16 transreid.train INFO: Epoch[116] Iter[280/486] Loss: 0.122, Acc: 0.995, Base Lr: 1.89e-06 +2023-08-08 12:14:19 transreid.train INFO: Epoch[116] Iter[300/486] Loss: 0.121, Acc: 0.995, Base Lr: 1.89e-06 +2023-08-08 12:14:22 transreid.train INFO: Epoch[116] Iter[320/486] Loss: 0.119, Acc: 0.995, Base Lr: 1.89e-06 +2023-08-08 12:14:25 transreid.train INFO: Epoch[116] Iter[340/486] Loss: 0.116, Acc: 0.995, Base Lr: 1.89e-06 +2023-08-08 12:14:29 transreid.train INFO: Epoch[116] Iter[360/486] Loss: 0.114, Acc: 0.995, Base Lr: 1.89e-06 +2023-08-08 12:14:32 transreid.train INFO: Epoch[116] Iter[380/486] Loss: 0.111, Acc: 0.995, Base Lr: 1.89e-06 +2023-08-08 12:14:35 transreid.train INFO: Epoch[116] Iter[400/486] Loss: 0.108, Acc: 0.995, Base Lr: 1.89e-06 +2023-08-08 12:14:38 transreid.train INFO: Epoch[116] Iter[420/486] Loss: 0.107, Acc: 0.995, Base Lr: 1.89e-06 +2023-08-08 12:14:41 transreid.train INFO: Epoch[116] Iter[440/486] Loss: 0.104, Acc: 0.995, Base Lr: 1.89e-06 +2023-08-08 12:14:44 transreid.train INFO: Epoch[116] Iter[460/486] Loss: 0.102, Acc: 0.995, Base Lr: 1.89e-06 +2023-08-08 12:14:47 transreid.train INFO: Epoch 116 done. Time per epoch: 76.348[s] Speed: 397.3[samples/s] +2023-08-08 12:14:51 transreid.train INFO: Epoch[117] Iter[20/486] Loss: 0.165, Acc: 0.990, Base Lr: 1.42e-06 +2023-08-08 12:14:54 transreid.train INFO: Epoch[117] Iter[40/486] Loss: 0.145, Acc: 0.992, Base Lr: 1.42e-06 +2023-08-08 12:14:57 transreid.train INFO: Epoch[117] Iter[60/486] Loss: 0.136, Acc: 0.993, Base Lr: 1.42e-06 +2023-08-08 12:15:00 transreid.train INFO: Epoch[117] Iter[80/486] Loss: 0.138, Acc: 0.994, Base Lr: 1.42e-06 +2023-08-08 12:15:04 transreid.train INFO: Epoch[117] Iter[100/486] Loss: 0.133, Acc: 0.994, Base Lr: 1.42e-06 +2023-08-08 12:15:07 transreid.train INFO: Epoch[117] Iter[120/486] Loss: 0.130, Acc: 0.995, Base Lr: 1.42e-06 +2023-08-08 12:15:10 transreid.train INFO: Epoch[117] Iter[140/486] Loss: 0.130, Acc: 0.995, Base Lr: 1.42e-06 +2023-08-08 12:15:13 transreid.train INFO: Epoch[117] Iter[160/486] Loss: 0.128, Acc: 0.995, Base Lr: 1.42e-06 +2023-08-08 12:15:16 transreid.train INFO: Epoch[117] Iter[180/486] Loss: 0.126, Acc: 0.995, Base Lr: 1.42e-06 +2023-08-08 12:15:20 transreid.train INFO: Epoch[117] Iter[200/486] Loss: 0.123, Acc: 0.995, Base Lr: 1.42e-06 +2023-08-08 12:15:23 transreid.train INFO: Epoch[117] Iter[220/486] Loss: 0.121, Acc: 0.995, Base Lr: 1.42e-06 +2023-08-08 12:15:26 transreid.train INFO: Epoch[117] Iter[240/486] Loss: 0.118, Acc: 0.995, Base Lr: 1.42e-06 +2023-08-08 12:15:29 transreid.train INFO: Epoch[117] Iter[260/486] Loss: 0.115, Acc: 0.995, Base Lr: 1.42e-06 +2023-08-08 12:15:32 transreid.train INFO: Epoch[117] Iter[280/486] Loss: 0.114, Acc: 0.995, Base Lr: 1.42e-06 +2023-08-08 12:15:35 transreid.train INFO: Epoch[117] Iter[300/486] Loss: 0.111, Acc: 0.995, Base Lr: 1.42e-06 +2023-08-08 12:15:39 transreid.train INFO: Epoch[117] Iter[320/486] Loss: 0.109, Acc: 0.996, Base Lr: 1.42e-06 +2023-08-08 12:15:42 transreid.train INFO: Epoch[117] Iter[340/486] Loss: 0.107, Acc: 0.996, Base Lr: 1.42e-06 +2023-08-08 12:15:45 transreid.train INFO: Epoch[117] Iter[360/486] Loss: 0.105, Acc: 0.996, Base Lr: 1.42e-06 +2023-08-08 12:15:48 transreid.train INFO: Epoch[117] Iter[380/486] Loss: 0.103, Acc: 0.996, Base Lr: 1.42e-06 +2023-08-08 12:15:51 transreid.train INFO: Epoch[117] Iter[400/486] Loss: 0.102, Acc: 0.996, Base Lr: 1.42e-06 +2023-08-08 12:15:55 transreid.train INFO: Epoch[117] Iter[420/486] Loss: 0.100, Acc: 0.996, Base Lr: 1.42e-06 +2023-08-08 12:15:58 transreid.train INFO: Epoch[117] Iter[440/486] Loss: 0.098, Acc: 0.996, Base Lr: 1.42e-06 +2023-08-08 12:16:01 transreid.train INFO: Epoch[117] Iter[460/486] Loss: 0.097, Acc: 0.996, Base Lr: 1.42e-06 +2023-08-08 12:16:03 transreid.train INFO: Epoch 117 done. Time per epoch: 76.341[s] Speed: 396.5[samples/s] +2023-08-08 12:16:07 transreid.train INFO: Epoch[118] Iter[20/486] Loss: 0.150, Acc: 0.991, Base Lr: 1.07e-06 +2023-08-08 12:16:10 transreid.train INFO: Epoch[118] Iter[40/486] Loss: 0.144, Acc: 0.993, Base Lr: 1.07e-06 +2023-08-08 12:16:14 transreid.train INFO: Epoch[118] Iter[60/486] Loss: 0.136, Acc: 0.993, Base Lr: 1.07e-06 +2023-08-08 12:16:17 transreid.train INFO: Epoch[118] Iter[80/486] Loss: 0.132, Acc: 0.994, Base Lr: 1.07e-06 +2023-08-08 12:16:20 transreid.train INFO: Epoch[118] Iter[100/486] Loss: 0.138, Acc: 0.994, Base Lr: 1.07e-06 +2023-08-08 12:16:23 transreid.train INFO: Epoch[118] Iter[120/486] Loss: 0.136, Acc: 0.994, Base Lr: 1.07e-06 +2023-08-08 12:16:26 transreid.train INFO: Epoch[118] Iter[140/486] Loss: 0.135, Acc: 0.995, Base Lr: 1.07e-06 +2023-08-08 12:16:29 transreid.train INFO: Epoch[118] Iter[160/486] Loss: 0.136, Acc: 0.994, Base Lr: 1.07e-06 +2023-08-08 12:16:33 transreid.train INFO: Epoch[118] Iter[180/486] Loss: 0.134, Acc: 0.994, Base Lr: 1.07e-06 +2023-08-08 12:16:36 transreid.train INFO: Epoch[118] Iter[200/486] Loss: 0.131, Acc: 0.995, Base Lr: 1.07e-06 +2023-08-08 12:16:39 transreid.train INFO: Epoch[118] Iter[220/486] Loss: 0.129, Acc: 0.995, Base Lr: 1.07e-06 +2023-08-08 12:16:42 transreid.train INFO: Epoch[118] Iter[240/486] Loss: 0.126, Acc: 0.995, Base Lr: 1.07e-06 +2023-08-08 12:16:45 transreid.train INFO: Epoch[118] Iter[260/486] Loss: 0.124, Acc: 0.995, Base Lr: 1.07e-06 +2023-08-08 12:16:49 transreid.train INFO: Epoch[118] Iter[280/486] Loss: 0.121, Acc: 0.995, Base Lr: 1.07e-06 +2023-08-08 12:16:52 transreid.train INFO: Epoch[118] Iter[300/486] Loss: 0.119, Acc: 0.995, Base Lr: 1.07e-06 +2023-08-08 12:16:55 transreid.train INFO: Epoch[118] Iter[320/486] Loss: 0.116, Acc: 0.995, Base Lr: 1.07e-06 +2023-08-08 12:16:58 transreid.train INFO: Epoch[118] Iter[340/486] Loss: 0.115, Acc: 0.995, Base Lr: 1.07e-06 +2023-08-08 12:17:02 transreid.train INFO: Epoch[118] Iter[360/486] Loss: 0.115, Acc: 0.995, Base Lr: 1.07e-06 +2023-08-08 12:17:05 transreid.train INFO: Epoch[118] Iter[380/486] Loss: 0.112, Acc: 0.995, Base Lr: 1.07e-06 +2023-08-08 12:17:08 transreid.train INFO: Epoch[118] Iter[400/486] Loss: 0.109, Acc: 0.995, Base Lr: 1.07e-06 +2023-08-08 12:17:11 transreid.train INFO: Epoch[118] Iter[420/486] Loss: 0.107, Acc: 0.995, Base Lr: 1.07e-06 +2023-08-08 12:17:14 transreid.train INFO: Epoch[118] Iter[440/486] Loss: 0.105, Acc: 0.996, Base Lr: 1.07e-06 +2023-08-08 12:17:18 transreid.train INFO: Epoch[118] Iter[460/486] Loss: 0.103, Acc: 0.996, Base Lr: 1.07e-06 +2023-08-08 12:17:20 transreid.train INFO: Epoch 118 done. Time per epoch: 76.906[s] Speed: 395.3[samples/s] +2023-08-08 12:17:24 transreid.train INFO: Epoch[119] Iter[20/486] Loss: 0.162, Acc: 0.989, Base Lr: 8.68e-07 +2023-08-08 12:17:27 transreid.train INFO: Epoch[119] Iter[40/486] Loss: 0.158, Acc: 0.990, Base Lr: 8.68e-07 +2023-08-08 12:17:31 transreid.train INFO: Epoch[119] Iter[60/486] Loss: 0.155, Acc: 0.990, Base Lr: 8.68e-07 +2023-08-08 12:17:34 transreid.train INFO: Epoch[119] Iter[80/486] Loss: 0.151, Acc: 0.991, Base Lr: 8.68e-07 +2023-08-08 12:17:37 transreid.train INFO: Epoch[119] Iter[100/486] Loss: 0.145, Acc: 0.992, Base Lr: 8.68e-07 +2023-08-08 12:17:40 transreid.train INFO: Epoch[119] Iter[120/486] Loss: 0.142, Acc: 0.992, Base Lr: 8.68e-07 +2023-08-08 12:17:43 transreid.train INFO: Epoch[119] Iter[140/486] Loss: 0.139, Acc: 0.993, Base Lr: 8.68e-07 +2023-08-08 12:17:47 transreid.train INFO: Epoch[119] Iter[160/486] Loss: 0.133, Acc: 0.993, Base Lr: 8.68e-07 +2023-08-08 12:17:50 transreid.train INFO: Epoch[119] Iter[180/486] Loss: 0.129, Acc: 0.994, Base Lr: 8.68e-07 +2023-08-08 12:17:53 transreid.train INFO: Epoch[119] Iter[200/486] Loss: 0.126, Acc: 0.994, Base Lr: 8.68e-07 +2023-08-08 12:17:56 transreid.train INFO: Epoch[119] Iter[220/486] Loss: 0.123, Acc: 0.994, Base Lr: 8.68e-07 +2023-08-08 12:17:59 transreid.train INFO: Epoch[119] Iter[240/486] Loss: 0.122, Acc: 0.995, Base Lr: 8.68e-07 +2023-08-08 12:18:03 transreid.train INFO: Epoch[119] Iter[260/486] Loss: 0.122, Acc: 0.995, Base Lr: 8.68e-07 +2023-08-08 12:18:06 transreid.train INFO: Epoch[119] Iter[280/486] Loss: 0.119, Acc: 0.995, Base Lr: 8.68e-07 +2023-08-08 12:18:09 transreid.train INFO: Epoch[119] Iter[300/486] Loss: 0.116, Acc: 0.995, Base Lr: 8.68e-07 +2023-08-08 12:18:12 transreid.train INFO: Epoch[119] Iter[320/486] Loss: 0.114, Acc: 0.995, Base Lr: 8.68e-07 +2023-08-08 12:18:15 transreid.train INFO: Epoch[119] Iter[340/486] Loss: 0.112, Acc: 0.996, Base Lr: 8.68e-07 +2023-08-08 12:18:19 transreid.train INFO: Epoch[119] Iter[360/486] Loss: 0.111, Acc: 0.995, Base Lr: 8.68e-07 +2023-08-08 12:18:22 transreid.train INFO: Epoch[119] Iter[380/486] Loss: 0.109, Acc: 0.996, Base Lr: 8.68e-07 +2023-08-08 12:18:25 transreid.train INFO: Epoch[119] Iter[400/486] Loss: 0.108, Acc: 0.996, Base Lr: 8.68e-07 +2023-08-08 12:18:28 transreid.train INFO: Epoch[119] Iter[420/486] Loss: 0.105, Acc: 0.996, Base Lr: 8.68e-07 +2023-08-08 12:18:31 transreid.train INFO: Epoch[119] Iter[440/486] Loss: 0.103, Acc: 0.996, Base Lr: 8.68e-07 +2023-08-08 12:18:35 transreid.train INFO: Epoch[119] Iter[460/486] Loss: 0.101, Acc: 0.996, Base Lr: 8.68e-07 +2023-08-08 12:18:37 transreid.train INFO: Epoch 119 done. Time per epoch: 76.813[s] Speed: 394.9[samples/s] +2023-08-08 12:18:41 transreid.train INFO: Epoch[120] Iter[20/486] Loss: 0.138, Acc: 0.995, Base Lr: 8.00e-07 +2023-08-08 12:18:44 transreid.train INFO: Epoch[120] Iter[40/486] Loss: 0.140, Acc: 0.993, Base Lr: 8.00e-07 +2023-08-08 12:18:47 transreid.train INFO: Epoch[120] Iter[60/486] Loss: 0.132, Acc: 0.994, Base Lr: 8.00e-07 +2023-08-08 12:18:51 transreid.train INFO: Epoch[120] Iter[80/486] Loss: 0.126, Acc: 0.995, Base Lr: 8.00e-07 +2023-08-08 12:18:54 transreid.train INFO: Epoch[120] Iter[100/486] Loss: 0.122, Acc: 0.996, Base Lr: 8.00e-07 +2023-08-08 12:18:57 transreid.train INFO: Epoch[120] Iter[120/486] Loss: 0.122, Acc: 0.996, Base Lr: 8.00e-07 +2023-08-08 12:19:00 transreid.train INFO: Epoch[120] Iter[140/486] Loss: 0.119, Acc: 0.996, Base Lr: 8.00e-07 +2023-08-08 12:19:03 transreid.train INFO: Epoch[120] Iter[160/486] Loss: 0.117, Acc: 0.996, Base Lr: 8.00e-07 +2023-08-08 12:19:07 transreid.train INFO: Epoch[120] Iter[180/486] Loss: 0.115, Acc: 0.996, Base Lr: 8.00e-07 +2023-08-08 12:19:10 transreid.train INFO: Epoch[120] Iter[200/486] Loss: 0.113, Acc: 0.996, Base Lr: 8.00e-07 +2023-08-08 12:19:13 transreid.train INFO: Epoch[120] Iter[220/486] Loss: 0.112, Acc: 0.997, Base Lr: 8.00e-07 +2023-08-08 12:19:16 transreid.train INFO: Epoch[120] Iter[240/486] Loss: 0.111, Acc: 0.996, Base Lr: 8.00e-07 +2023-08-08 12:19:19 transreid.train INFO: Epoch[120] Iter[260/486] Loss: 0.109, Acc: 0.996, Base Lr: 8.00e-07 +2023-08-08 12:19:22 transreid.train INFO: Epoch[120] Iter[280/486] Loss: 0.108, Acc: 0.996, Base Lr: 8.00e-07 +2023-08-08 12:19:26 transreid.train INFO: Epoch[120] Iter[300/486] Loss: 0.106, Acc: 0.996, Base Lr: 8.00e-07 +2023-08-08 12:19:29 transreid.train INFO: Epoch[120] Iter[320/486] Loss: 0.104, Acc: 0.996, Base Lr: 8.00e-07 +2023-08-08 12:19:32 transreid.train INFO: Epoch[120] Iter[340/486] Loss: 0.103, Acc: 0.997, Base Lr: 8.00e-07 +2023-08-08 12:19:35 transreid.train INFO: Epoch[120] Iter[360/486] Loss: 0.101, Acc: 0.997, Base Lr: 8.00e-07 +2023-08-08 12:19:38 transreid.train INFO: Epoch[120] Iter[380/486] Loss: 0.099, Acc: 0.997, Base Lr: 8.00e-07 +2023-08-08 12:19:41 transreid.train INFO: Epoch[120] Iter[400/486] Loss: 0.097, Acc: 0.997, Base Lr: 8.00e-07 +2023-08-08 12:19:45 transreid.train INFO: Epoch[120] Iter[420/486] Loss: 0.096, Acc: 0.997, Base Lr: 8.00e-07 +2023-08-08 12:19:48 transreid.train INFO: Epoch[120] Iter[440/486] Loss: 0.095, Acc: 0.997, Base Lr: 8.00e-07 +2023-08-08 12:19:51 transreid.train INFO: Epoch[120] Iter[460/486] Loss: 0.092, Acc: 0.997, Base Lr: 8.00e-07 +2023-08-08 12:19:53 transreid.train INFO: Epoch 120 done. Time per epoch: 76.337[s] Speed: 396.6[samples/s] +2023-08-08 12:25:02 transreid.train INFO: Validation Results - Epoch: 120 +2023-08-08 12:25:02 transreid.train INFO: mAP: 80.8% +2023-08-08 12:25:02 transreid.train INFO: CMC curve, Rank-1 :92.0% +2023-08-08 12:25:02 transreid.train INFO: CMC curve, Rank-5 :96.3% +2023-08-08 12:25:02 transreid.train INFO: CMC curve, Rank-10 :97.0%