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KAT-ReID-MSMT17

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  1. test_log.txt +165 -0
  2. train_log.txt +641 -0
  3. transformer_120.pth +3 -0
test_log.txt ADDED
@@ -0,0 +1,165 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2025-05-24 17:26:17,069 transreid INFO: Namespace(config_file='configs/MSMT17/KAT_base_MSMT.yml', opts=['TEST.WEIGHT', '/data_sata/ReID_Group/ReID_Group/KANTransfarmers/logs/msmt17_KAT_base_I3/transformer_120.pth'])
2
+ 2025-05-24 17:26:17,070 transreid INFO: Loaded configuration file configs/MSMT17/KAT_base_MSMT.yml
3
+ 2025-05-24 17:26:17,070 transreid INFO:
4
+ MODEL:
5
+ PRETRAIN_CHOICE: 'imagenet'
6
+ PRETRAIN_PATH: '/data_sata/ReID_Group/ReID_Group/KANTransfarmers/TransReID/checkpoint/kat_base_patch16_224.pth'
7
+ METRIC_LOSS_TYPE: 'triplet'
8
+ IF_LABELSMOOTH: 'off'
9
+ IF_WITH_CENTER: 'no'
10
+ NAME: 'transformer'
11
+ NO_MARGIN: True
12
+ DEVICE_ID: ('2')
13
+ TRANSFORMER_TYPE: 'kat_base_patch16_224_TransReID'
14
+ STRIDE_SIZE: [16, 16]
15
+ KAT:
16
+ ACTIVATION: "swish"
17
+ WEIGHT_INIT: "kan_mimetic"
18
+ INPUT:
19
+ SIZE_TRAIN: [256, 128]
20
+ SIZE_TEST: [256, 128]
21
+ PROB: 0.5 # random horizontal flip
22
+ RE_PROB: 0.5 # random erasing
23
+ PADDING: 10
24
+ PIXEL_MEAN: [0.5, 0.5, 0.5]
25
+ PIXEL_STD: [0.5, 0.5, 0.5]
26
+
27
+ DATASETS:
28
+ NAMES: ('msmt17')
29
+ ROOT_DIR: ('/data_sata/ReID_Group/ReID_Group/KANTransfarmers/TransReID/data')
30
+
31
+ DATALOADER:
32
+ SAMPLER: 'softmax_triplet'
33
+ NUM_INSTANCE: 4
34
+ NUM_WORKERS: 8
35
+
36
+ SOLVER:
37
+ OPTIMIZER_NAME: 'AdamW'
38
+ MAX_EPOCHS: 120
39
+ BASE_LR: 6e-4
40
+ IMS_PER_BATCH: 192
41
+ WARMUP_METHOD: 'linear'
42
+ CHECKPOINT_PERIOD: 10
43
+ LARGE_FC_LR: False
44
+ LOG_PERIOD: 50
45
+ EVAL_PERIOD: 60
46
+ WEIGHT_DECAY: 1e-4
47
+ WEIGHT_DECAY_BIAS: 1e-4
48
+ BIAS_LR_FACTOR: 2
49
+ FREEZE_BACKBONE_EPOCHS: 2
50
+
51
+
52
+
53
+ TEST:
54
+ EVAL: True
55
+ IMS_PER_BATCH: 256
56
+ RE_RANKING: False
57
+ WEIGHT: ''
58
+ NECK_FEAT: 'before'
59
+ FEAT_NORM: 'yes'
60
+
61
+ OUTPUT_DIR: '../logs/msmt17_KAT_base_I3'
62
+
63
+
64
+
65
+ 2025-05-24 17:26:17,070 transreid INFO: Running with config:
66
+ DATALOADER:
67
+ NUM_INSTANCE: 4
68
+ NUM_WORKERS: 8
69
+ SAMPLER: softmax_triplet
70
+ DATASETS:
71
+ NAMES: msmt17
72
+ ROOT_DIR: /data_sata/ReID_Group/ReID_Group/KANTransfarmers/TransReID/data
73
+ INPUT:
74
+ PADDING: 10
75
+ PIXEL_MEAN: [0.5, 0.5, 0.5]
76
+ PIXEL_STD: [0.5, 0.5, 0.5]
77
+ PROB: 0.5
78
+ RE_PROB: 0.5
79
+ SIZE_TEST: [256, 128]
80
+ SIZE_TRAIN: [256, 128]
81
+ KAT:
82
+ ACTIVATION: swish
83
+ DEPTH_MULT: 1.0
84
+ WEIGHT_INIT: kan_mimetic
85
+ WIDTH_MULT: 1.0
86
+ MODEL:
87
+ ATT_DROP_RATE: 0.0
88
+ COS_LAYER: False
89
+ DEVICE: cuda
90
+ DEVICE_ID: 2
91
+ DEVIDE_LENGTH: 4
92
+ DIST_TRAIN: False
93
+ DROP_OUT: 0.0
94
+ DROP_PATH: 0.1
95
+ ID_LOSS_TYPE: softmax
96
+ ID_LOSS_WEIGHT: 1.0
97
+ IF_LABELSMOOTH: off
98
+ IF_WITH_CENTER: no
99
+ JPM: False
100
+ KAT:
101
+ ACTIVATION: swish
102
+ DEPTH: 12
103
+ EMBED_DIM: 768
104
+ NUM_HEADS: 12
105
+ WEIGHT_INIT: kan_mimetic
106
+ LAST_STRIDE: 1
107
+ METRIC_LOSS_TYPE: triplet
108
+ NAME: transformer
109
+ NECK: bnneck
110
+ NO_MARGIN: True
111
+ PRETRAIN_CHOICE: imagenet
112
+ PRETRAIN_PATH: /data_sata/ReID_Group/ReID_Group/KANTransfarmers/TransReID/checkpoint/kat_base_patch16_224.pth
113
+ RE_ARRANGE: True
114
+ SHIFT_NUM: 5
115
+ SHUFFLE_GROUP: 2
116
+ SIE_CAMERA: False
117
+ SIE_COE: 3.0
118
+ SIE_VIEW: False
119
+ STRIDE_SIZE: [16, 16]
120
+ TRANSFORMER_TYPE: kat_base_patch16_224_TransReID
121
+ TRIPLET_LOSS_WEIGHT: 1.0
122
+ OUTPUT_DIR: ../logs/msmt17_KAT_base_I3
123
+ SOLVER:
124
+ BASE_LR: 0.0006
125
+ BIAS_LR_FACTOR: 2
126
+ CENTER_LOSS_WEIGHT: 0.0005
127
+ CENTER_LR: 0.5
128
+ CHECKPOINT_PERIOD: 10
129
+ COSINE_MARGIN: 0.5
130
+ COSINE_SCALE: 30
131
+ EVAL_PERIOD: 60
132
+ FREEZE_BACKBONE_EPOCHS: 2
133
+ GAMMA: 0.1
134
+ IMS_PER_BATCH: 192
135
+ LARGE_FC_LR: False
136
+ LOG_PERIOD: 50
137
+ MARGIN: 0.3
138
+ MAX_EPOCHS: 120
139
+ MOMENTUM: 0.9
140
+ OPTIMIZER_NAME: AdamW
141
+ SEED: 1234
142
+ STEPS: (40, 70)
143
+ WARMUP_EPOCHS: 5
144
+ WARMUP_FACTOR: 0.01
145
+ WARMUP_METHOD: linear
146
+ WEIGHT_DECAY: 0.0001
147
+ WEIGHT_DECAY_BIAS: 0.0001
148
+ TEST:
149
+ DIST_MAT: dist_mat.npy
150
+ EVAL: True
151
+ FEAT_NORM: yes
152
+ IMS_PER_BATCH: 256
153
+ NECK_FEAT: before
154
+ RE_RANKING: False
155
+ WEIGHT: /data_sata/ReID_Group/ReID_Group/KANTransfarmers/logs/msmt17_KAT_base_I3/transformer_120.pth
156
+ 2025-05-24 17:26:17,071 transreid.dataset INFO: Initializing dataset 'msmt17' with root '/data_sata/ReID_Group/ReID_Group/KANTransfarmers/TransReID/data'
157
+ 2025-05-24 17:26:17,428 transreid.dataset INFO: Loaded 32620 training images.
158
+ 2025-05-24 17:26:17,428 transreid.dataset INFO: Loaded 11658 query images.
159
+ 2025-05-24 17:26:17,428 transreid.dataset INFO: Loaded 82160 gallery images.
160
+ 2025-05-24 17:26:20,320 transreid.test INFO: Enter inferencing
161
+ 2025-05-24 17:34:21,373 transreid.test INFO: Validation Results
162
+ 2025-05-24 17:34:21,374 transreid.test INFO: mAP: 38.8%
163
+ 2025-05-24 17:34:21,374 transreid.test INFO: CMC curve, Rank-1 :61.5%
164
+ 2025-05-24 17:34:21,374 transreid.test INFO: CMC curve, Rank-5 :76.6%
165
+ 2025-05-24 17:34:21,374 transreid.test INFO: CMC curve, Rank-10 :82.2%
train_log.txt ADDED
@@ -0,0 +1,641 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2025-05-21 21:18:51,882 transreid INFO: Saving model in the path :../logs/msmt17_KAT_base_I3
2
+ 2025-05-21 21:18:51,882 transreid INFO: Namespace(config_file='configs/MSMT17/KAT_base_MSMT.yml', opts=[], local_rank=0)
3
+ 2025-05-21 21:18:51,882 transreid INFO: Loaded configuration file configs/MSMT17/KAT_base_MSMT.yml
4
+ 2025-05-21 21:18:51,882 transreid INFO:
5
+ MODEL:
6
+ PRETRAIN_CHOICE: 'imagenet'
7
+ PRETRAIN_PATH: '/data_sata/ReID_Group/ReID_Group/KANTransfarmers/TransReID/checkpoint/kat_base_patch16_224.pth'
8
+ METRIC_LOSS_TYPE: 'triplet'
9
+ IF_LABELSMOOTH: 'off'
10
+ IF_WITH_CENTER: 'no'
11
+ NAME: 'transformer'
12
+ NO_MARGIN: True
13
+ DEVICE_ID: ('2')
14
+ TRANSFORMER_TYPE: 'kat_base_patch16_224_TransReID'
15
+ STRIDE_SIZE: [16, 16]
16
+ KAT:
17
+ ACTIVATION: "swish"
18
+ WEIGHT_INIT: "kan_mimetic"
19
+ INPUT:
20
+ SIZE_TRAIN: [256, 128]
21
+ SIZE_TEST: [256, 128]
22
+ PROB: 0.5 # random horizontal flip
23
+ RE_PROB: 0.5 # random erasing
24
+ PADDING: 10
25
+ PIXEL_MEAN: [0.5, 0.5, 0.5]
26
+ PIXEL_STD: [0.5, 0.5, 0.5]
27
+
28
+ DATASETS:
29
+ NAMES: ('msmt17')
30
+ ROOT_DIR: ('/data_sata/ReID_Group/ReID_Group/KANTransfarmers/TransReID/data')
31
+
32
+ DATALOADER:
33
+ SAMPLER: 'softmax_triplet'
34
+ NUM_INSTANCE: 4
35
+ NUM_WORKERS: 8
36
+
37
+ SOLVER:
38
+ OPTIMIZER_NAME: 'AdamW'
39
+ MAX_EPOCHS: 120
40
+ BASE_LR: 6e-4
41
+ IMS_PER_BATCH: 192
42
+ WARMUP_METHOD: 'linear'
43
+ CHECKPOINT_PERIOD: 10
44
+ LARGE_FC_LR: False
45
+ LOG_PERIOD: 50
46
+ EVAL_PERIOD: 60
47
+ WEIGHT_DECAY: 1e-4
48
+ WEIGHT_DECAY_BIAS: 1e-4
49
+ BIAS_LR_FACTOR: 2
50
+ FREEZE_BACKBONE_EPOCHS: 2
51
+
52
+
53
+
54
+ TEST:
55
+ EVAL: True
56
+ IMS_PER_BATCH: 256
57
+ RE_RANKING: False
58
+ WEIGHT: ''
59
+ NECK_FEAT: 'before'
60
+ FEAT_NORM: 'yes'
61
+
62
+ OUTPUT_DIR: '../logs/msmt17_KAT_base_I3'
63
+
64
+
65
+
66
+ 2025-05-21 21:18:51,882 transreid INFO: Running with config:
67
+ DATALOADER:
68
+ NUM_INSTANCE: 4
69
+ NUM_WORKERS: 8
70
+ SAMPLER: softmax_triplet
71
+ DATASETS:
72
+ NAMES: msmt17
73
+ ROOT_DIR: /data_sata/ReID_Group/ReID_Group/KANTransfarmers/TransReID/data
74
+ INPUT:
75
+ PADDING: 10
76
+ PIXEL_MEAN: [0.5, 0.5, 0.5]
77
+ PIXEL_STD: [0.5, 0.5, 0.5]
78
+ PROB: 0.5
79
+ RE_PROB: 0.5
80
+ SIZE_TEST: [256, 128]
81
+ SIZE_TRAIN: [256, 128]
82
+ KAT:
83
+ ACTIVATION: swish
84
+ DEPTH_MULT: 1.0
85
+ WEIGHT_INIT: kan_mimetic
86
+ WIDTH_MULT: 1.0
87
+ MODEL:
88
+ ATT_DROP_RATE: 0.0
89
+ COS_LAYER: False
90
+ DEVICE: cuda
91
+ DEVICE_ID: 2
92
+ DEVIDE_LENGTH: 4
93
+ DIST_TRAIN: False
94
+ DROP_OUT: 0.0
95
+ DROP_PATH: 0.1
96
+ ID_LOSS_TYPE: softmax
97
+ ID_LOSS_WEIGHT: 1.0
98
+ IF_LABELSMOOTH: off
99
+ IF_WITH_CENTER: no
100
+ JPM: False
101
+ KAT:
102
+ ACTIVATION: swish
103
+ DEPTH: 12
104
+ EMBED_DIM: 768
105
+ NUM_HEADS: 12
106
+ WEIGHT_INIT: kan_mimetic
107
+ LAST_STRIDE: 1
108
+ METRIC_LOSS_TYPE: triplet
109
+ NAME: transformer
110
+ NECK: bnneck
111
+ NO_MARGIN: True
112
+ PRETRAIN_CHOICE: imagenet
113
+ PRETRAIN_PATH: /data_sata/ReID_Group/ReID_Group/KANTransfarmers/TransReID/checkpoint/kat_base_patch16_224.pth
114
+ RE_ARRANGE: True
115
+ SHIFT_NUM: 5
116
+ SHUFFLE_GROUP: 2
117
+ SIE_CAMERA: False
118
+ SIE_COE: 3.0
119
+ SIE_VIEW: False
120
+ STRIDE_SIZE: [16, 16]
121
+ TRANSFORMER_TYPE: kat_base_patch16_224_TransReID
122
+ TRIPLET_LOSS_WEIGHT: 1.0
123
+ OUTPUT_DIR: ../logs/msmt17_KAT_base_I3
124
+ SOLVER:
125
+ BASE_LR: 0.0006
126
+ BIAS_LR_FACTOR: 2
127
+ CENTER_LOSS_WEIGHT: 0.0005
128
+ CENTER_LR: 0.5
129
+ CHECKPOINT_PERIOD: 10
130
+ COSINE_MARGIN: 0.5
131
+ COSINE_SCALE: 30
132
+ EVAL_PERIOD: 60
133
+ FREEZE_BACKBONE_EPOCHS: 2
134
+ GAMMA: 0.1
135
+ IMS_PER_BATCH: 192
136
+ LARGE_FC_LR: False
137
+ LOG_PERIOD: 50
138
+ MARGIN: 0.3
139
+ MAX_EPOCHS: 120
140
+ MOMENTUM: 0.9
141
+ OPTIMIZER_NAME: AdamW
142
+ SEED: 1234
143
+ STEPS: (40, 70)
144
+ WARMUP_EPOCHS: 5
145
+ WARMUP_FACTOR: 0.01
146
+ WARMUP_METHOD: linear
147
+ WEIGHT_DECAY: 0.0001
148
+ WEIGHT_DECAY_BIAS: 0.0001
149
+ TEST:
150
+ DIST_MAT: dist_mat.npy
151
+ EVAL: True
152
+ FEAT_NORM: yes
153
+ IMS_PER_BATCH: 256
154
+ NECK_FEAT: before
155
+ RE_RANKING: False
156
+ WEIGHT:
157
+ 2025-05-21 21:18:51,883 transreid.dataset INFO: Initializing dataset 'msmt17' with root '/data_sata/ReID_Group/ReID_Group/KANTransfarmers/TransReID/data'
158
+ 2025-05-21 21:18:52,259 transreid.dataset INFO: Loaded 32620 training images.
159
+ 2025-05-21 21:18:52,260 transreid.dataset INFO: Loaded 11658 query images.
160
+ 2025-05-21 21:18:52,260 transreid.dataset INFO: Loaded 82160 gallery images.
161
+ 2025-05-21 21:18:55,672 transreid.train INFO: start training
162
+ 2025-05-21 21:32:30,711 transreid.train INFO: Epoch[1] Iter[50/162] Loss:8.243 Acc:0.024 Lr:1.25e-04
163
+ 2025-05-21 21:44:33,228 transreid.train INFO: Epoch[1] Iter[100/162] Loss:7.873 Acc:0.043 Lr:1.25e-04
164
+ 2025-05-21 21:55:34,341 transreid.train INFO: Epoch[1] Iter[150/162] Loss:7.551 Acc:0.075 Lr:1.25e-04
165
+ 2025-05-21 21:56:28,701 transreid.train INFO: Epoch 1 done. Time per batch: 14.629[s] Speed: 13.1[samples/s]
166
+ 2025-05-21 22:06:30,529 transreid.train INFO: Epoch[2] Iter[50/162] Loss:6.764 Acc:0.062 Lr:2.44e-04
167
+ 2025-05-21 22:16:37,075 transreid.train INFO: Epoch[2] Iter[100/162] Loss:6.396 Acc:0.108 Lr:2.44e-04
168
+ 2025-05-21 22:26:32,796 transreid.train INFO: Epoch[2] Iter[150/162] Loss:5.893 Acc:0.183 Lr:2.44e-04
169
+ 2025-05-21 22:27:03,906 transreid.train INFO: Epoch 2 done. Time per batch: 11.995[s] Speed: 16.0[samples/s]
170
+ 2025-05-21 22:36:07,236 transreid.train INFO: Epoch[3] Iter[50/162] Loss:5.275 Acc:0.199 Lr:3.62e-04
171
+ 2025-05-21 22:45:09,900 transreid.train INFO: Epoch[3] Iter[100/162] Loss:4.820 Acc:0.283 Lr:3.62e-04
172
+ 2025-05-21 22:54:10,992 transreid.train INFO: Epoch[3] Iter[150/162] Loss:4.241 Acc:0.393 Lr:3.62e-04
173
+ 2025-05-21 22:54:45,832 transreid.train INFO: Epoch 3 done. Time per batch: 10.862[s] Speed: 17.7[samples/s]
174
+ 2025-05-21 23:03:51,703 transreid.train INFO: Epoch[4] Iter[50/162] Loss:3.695 Acc:0.444 Lr:4.81e-04
175
+ 2025-05-21 23:12:55,454 transreid.train INFO: Epoch[4] Iter[100/162] Loss:3.282 Acc:0.527 Lr:4.81e-04
176
+ 2025-05-21 23:22:00,872 transreid.train INFO: Epoch[4] Iter[150/162] Loss:2.881 Acc:0.606 Lr:4.81e-04
177
+ 2025-05-21 23:22:33,375 transreid.train INFO: Epoch 4 done. Time per batch: 10.899[s] Speed: 17.6[samples/s]
178
+ 2025-05-21 23:31:36,373 transreid.train INFO: Epoch[5] Iter[50/162] Loss:2.452 Acc:0.669 Lr:5.97e-04
179
+ 2025-05-21 23:40:38,071 transreid.train INFO: Epoch[5] Iter[100/162] Loss:2.184 Acc:0.725 Lr:5.97e-04
180
+ 2025-05-21 23:49:41,904 transreid.train INFO: Epoch[5] Iter[150/162] Loss:1.973 Acc:0.766 Lr:5.97e-04
181
+ 2025-05-21 23:50:14,253 transreid.train INFO: Epoch 5 done. Time per batch: 10.855[s] Speed: 17.7[samples/s]
182
+ 2025-05-21 23:59:21,861 transreid.train INFO: Epoch[6] Iter[50/162] Loss:1.693 Acc:0.801 Lr:5.96e-04
183
+ 2025-05-22 00:08:26,250 transreid.train INFO: Epoch[6] Iter[100/162] Loss:1.535 Acc:0.839 Lr:5.96e-04
184
+ 2025-05-22 00:17:30,144 transreid.train INFO: Epoch[6] Iter[150/162] Loss:1.433 Acc:0.860 Lr:5.96e-04
185
+ 2025-05-22 00:18:14,450 transreid.train INFO: Epoch 6 done. Time per batch: 10.910[s] Speed: 17.6[samples/s]
186
+ 2025-05-22 00:27:22,927 transreid.train INFO: Epoch[7] Iter[50/162] Loss:1.295 Acc:0.874 Lr:5.95e-04
187
+ 2025-05-22 00:36:27,536 transreid.train INFO: Epoch[7] Iter[100/162] Loss:1.210 Acc:0.896 Lr:5.95e-04
188
+ 2025-05-22 00:45:31,310 transreid.train INFO: Epoch[7] Iter[150/162] Loss:1.150 Acc:0.908 Lr:5.95e-04
189
+ 2025-05-22 00:46:13,798 transreid.train INFO: Epoch 7 done. Time per batch: 10.905[s] Speed: 17.6[samples/s]
190
+ 2025-05-22 00:55:18,903 transreid.train INFO: Epoch[8] Iter[50/162] Loss:1.060 Acc:0.919 Lr:5.93e-04
191
+ 2025-05-22 01:03:30,968 transreid.train INFO: Epoch[8] Iter[100/162] Loss:1.013 Acc:0.929 Lr:5.93e-04
192
+ 2025-05-22 01:11:02,838 transreid.train INFO: Epoch[8] Iter[150/162] Loss:0.990 Acc:0.934 Lr:5.93e-04
193
+ 2025-05-22 01:11:39,387 transreid.train INFO: Epoch 8 done. Time per batch: 9.906[s] Speed: 19.4[samples/s]
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+ 2025-05-22 03:31:23,268 transreid.train INFO: Epoch[15] Iter[50/162] Loss:0.579 Acc:0.969 Lr:5.77e-04
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+ 2025-05-22 03:45:34,937 transreid.train INFO: Epoch 15 done. Time per batch: 8.289[s] Speed: 23.2[samples/s]
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+ 2025-05-22 03:52:31,493 transreid.train INFO: Epoch[16] Iter[50/162] Loss:0.527 Acc:0.976 Lr:5.74e-04
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+ 2025-05-22 04:06:42,410 transreid.train INFO: Epoch 16 done. Time per batch: 8.284[s] Speed: 23.2[samples/s]
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+ 2025-05-22 04:13:39,959 transreid.train INFO: Epoch[17] Iter[50/162] Loss:0.507 Acc:0.974 Lr:5.71e-04
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+ 2025-05-22 04:27:19,222 transreid.train INFO: Epoch[17] Iter[150/162] Loss:0.484 Acc:0.976 Lr:5.71e-04
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+ 2025-05-22 04:27:43,852 transreid.train INFO: Epoch 17 done. Time per batch: 8.245[s] Speed: 23.3[samples/s]
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+ 2025-05-22 04:34:41,029 transreid.train INFO: Epoch[18] Iter[50/162] Loss:0.479 Acc:0.974 Lr:5.67e-04
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+ 2025-05-22 04:48:27,291 transreid.train INFO: Epoch[18] Iter[150/162] Loss:0.446 Acc:0.978 Lr:5.67e-04
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+ 2025-05-22 04:48:52,940 transreid.train INFO: Epoch 18 done. Time per batch: 8.295[s] Speed: 23.1[samples/s]
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+ 2025-05-22 04:55:50,609 transreid.train INFO: Epoch[19] Iter[50/162] Loss:0.421 Acc:0.979 Lr:5.64e-04
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+ 2025-05-22 05:02:45,730 transreid.train INFO: Epoch[19] Iter[100/162] Loss:0.404 Acc:0.980 Lr:5.64e-04
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+ 2025-05-22 05:09:40,116 transreid.train INFO: Epoch[19] Iter[150/162] Loss:0.406 Acc:0.980 Lr:5.64e-04
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+ 2025-05-22 05:10:05,195 transreid.train INFO: Epoch 19 done. Time per batch: 8.315[s] Speed: 23.1[samples/s]
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+ 2025-05-22 05:17:00,663 transreid.train INFO: Epoch[20] Iter[50/162] Loss:0.428 Acc:0.976 Lr:5.60e-04
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+ 2025-05-22 05:23:56,224 transreid.train INFO: Epoch[20] Iter[100/162] Loss:0.396 Acc:0.979 Lr:5.60e-04
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+ 2025-05-22 05:30:51,764 transreid.train INFO: Epoch[20] Iter[150/162] Loss:0.388 Acc:0.980 Lr:5.60e-04
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+ 2025-05-22 05:31:16,294 transreid.train INFO: Epoch 20 done. Time per batch: 8.308[s] Speed: 23.1[samples/s]
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+ 2025-05-22 05:38:11,622 transreid.train INFO: Epoch[21] Iter[50/162] Loss:0.357 Acc:0.983 Lr:5.56e-04
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+ 2025-05-22 05:45:05,096 transreid.train INFO: Epoch[21] Iter[100/162] Loss:0.351 Acc:0.983 Lr:5.56e-04
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+ 2025-05-22 05:51:59,357 transreid.train INFO: Epoch[21] Iter[150/162] Loss:0.340 Acc:0.983 Lr:5.56e-04
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+ 2025-05-22 05:52:24,660 transreid.train INFO: Epoch 21 done. Time per batch: 8.287[s] Speed: 23.2[samples/s]
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+ 2025-05-22 05:59:20,962 transreid.train INFO: Epoch[22] Iter[50/162] Loss:0.350 Acc:0.977 Lr:5.52e-04
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+ 2025-05-22 06:06:13,233 transreid.train INFO: Epoch[22] Iter[100/162] Loss:0.341 Acc:0.981 Lr:5.52e-04
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+ 2025-05-22 06:13:06,969 transreid.train INFO: Epoch[22] Iter[150/162] Loss:0.334 Acc:0.981 Lr:5.52e-04
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+ 2025-05-22 06:13:39,883 transreid.train INFO: Epoch 22 done. Time per batch: 8.281[s] Speed: 23.2[samples/s]
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+ 2025-05-22 06:20:34,889 transreid.train INFO: Epoch[23] Iter[50/162] Loss:0.357 Acc:0.981 Lr:5.47e-04
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+ 2025-05-22 06:27:28,155 transreid.train INFO: Epoch[23] Iter[100/162] Loss:0.331 Acc:0.983 Lr:5.47e-04
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+ 2025-05-22 06:34:21,997 transreid.train INFO: Epoch[23] Iter[150/162] Loss:0.313 Acc:0.985 Lr:5.47e-04
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+ 2025-05-22 06:34:38,398 transreid.train INFO: Epoch 23 done. Time per batch: 8.280[s] Speed: 23.2[samples/s]
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+ 2025-05-22 06:41:33,508 transreid.train INFO: Epoch[24] Iter[50/162] Loss:0.310 Acc:0.983 Lr:5.43e-04
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+ 2025-05-22 06:48:26,653 transreid.train INFO: Epoch[24] Iter[100/162] Loss:0.286 Acc:0.985 Lr:5.43e-04
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+ 2025-05-22 06:55:20,050 transreid.train INFO: Epoch[24] Iter[150/162] Loss:0.276 Acc:0.985 Lr:5.43e-04
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+ 2025-05-22 06:55:45,265 transreid.train INFO: Epoch 24 done. Time per batch: 8.280[s] Speed: 23.2[samples/s]
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+ 2025-05-22 07:02:39,926 transreid.train INFO: Epoch[25] Iter[50/162] Loss:0.300 Acc:0.984 Lr:5.38e-04
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+ 2025-05-22 07:09:33,908 transreid.train INFO: Epoch[25] Iter[100/162] Loss:0.292 Acc:0.984 Lr:5.38e-04
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+ 2025-05-22 07:16:26,232 transreid.train INFO: Epoch[25] Iter[150/162] Loss:0.278 Acc:0.985 Lr:5.38e-04
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+ 2025-05-22 07:16:59,248 transreid.train INFO: Epoch 25 done. Time per batch: 8.273[s] Speed: 23.2[samples/s]
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+ 2025-05-22 07:23:55,358 transreid.train INFO: Epoch[26] Iter[50/162] Loss:0.301 Acc:0.984 Lr:5.33e-04
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+ 2025-05-22 07:30:48,663 transreid.train INFO: Epoch[26] Iter[100/162] Loss:0.286 Acc:0.984 Lr:5.33e-04
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+ 2025-05-22 07:37:42,094 transreid.train INFO: Epoch[26] Iter[150/162] Loss:0.281 Acc:0.984 Lr:5.33e-04
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+ 2025-05-22 07:38:14,991 transreid.train INFO: Epoch 26 done. Time per batch: 8.284[s] Speed: 23.2[samples/s]
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+ 2025-05-22 07:45:10,485 transreid.train INFO: Epoch[27] Iter[50/162] Loss:0.258 Acc:0.984 Lr:5.28e-04
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+ 2025-05-22 07:52:03,118 transreid.train INFO: Epoch[27] Iter[100/162] Loss:0.245 Acc:0.985 Lr:5.28e-04
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+ 2025-05-22 07:58:57,758 transreid.train INFO: Epoch[27] Iter[150/162] Loss:0.241 Acc:0.986 Lr:5.28e-04
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+ 2025-05-22 07:59:22,710 transreid.train INFO: Epoch 27 done. Time per batch: 8.286[s] Speed: 23.2[samples/s]
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+ 2025-05-22 08:06:17,402 transreid.train INFO: Epoch[28] Iter[50/162] Loss:0.242 Acc:0.985 Lr:5.23e-04
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+ 2025-05-22 08:13:09,716 transreid.train INFO: Epoch[28] Iter[100/162] Loss:0.228 Acc:0.985 Lr:5.23e-04
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+ 2025-05-22 08:20:04,640 transreid.train INFO: Epoch[28] Iter[150/162] Loss:0.214 Acc:0.987 Lr:5.23e-04
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+ 2025-05-22 08:20:29,363 transreid.train INFO: Epoch 28 done. Time per batch: 8.279[s] Speed: 23.2[samples/s]
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+ 2025-05-22 08:27:22,398 transreid.train INFO: Epoch[29] Iter[50/162] Loss:0.233 Acc:0.986 Lr:5.18e-04
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+ 2025-05-22 08:34:15,515 transreid.train INFO: Epoch[29] Iter[100/162] Loss:0.222 Acc:0.986 Lr:5.18e-04
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+ 2025-05-22 08:41:09,311 transreid.train INFO: Epoch[29] Iter[150/162] Loss:0.209 Acc:0.988 Lr:5.18e-04
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+ 2025-05-22 08:41:34,079 transreid.train INFO: Epoch 29 done. Time per batch: 8.266[s] Speed: 23.2[samples/s]
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+ 2025-05-22 08:48:30,309 transreid.train INFO: Epoch[30] Iter[50/162] Loss:0.231 Acc:0.987 Lr:5.12e-04
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+ 2025-05-22 08:55:22,163 transreid.train INFO: Epoch[30] Iter[100/162] Loss:0.221 Acc:0.987 Lr:5.12e-04
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+ 2025-05-22 09:02:14,432 transreid.train INFO: Epoch[30] Iter[150/162] Loss:0.214 Acc:0.987 Lr:5.12e-04
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+ 2025-05-22 09:02:47,756 transreid.train INFO: Epoch 30 done. Time per batch: 8.271[s] Speed: 23.2[samples/s]
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+ 2025-05-22 09:09:49,295 transreid.train INFO: Epoch[31] Iter[50/162] Loss:0.243 Acc:0.985 Lr:5.07e-04
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+ 2025-05-22 09:16:50,002 transreid.train INFO: Epoch[31] Iter[100/162] Loss:0.210 Acc:0.988 Lr:5.07e-04
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+ 2025-05-22 09:23:50,698 transreid.train INFO: Epoch[31] Iter[150/162] Loss:0.206 Acc:0.988 Lr:5.07e-04
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+ 2025-05-22 09:24:16,145 transreid.train INFO: Epoch 31 done. Time per batch: 8.417[s] Speed: 22.8[samples/s]
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+ 2025-05-22 09:31:09,578 transreid.train INFO: Epoch[32] Iter[50/162] Loss:0.212 Acc:0.987 Lr:5.01e-04
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+ 2025-05-22 09:38:04,670 transreid.train INFO: Epoch[32] Iter[100/162] Loss:0.196 Acc:0.988 Lr:5.01e-04
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+ 2025-05-22 09:44:58,416 transreid.train INFO: Epoch[32] Iter[150/162] Loss:0.193 Acc:0.988 Lr:5.01e-04
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+ 2025-05-22 09:45:31,855 transreid.train INFO: Epoch 32 done. Time per batch: 8.284[s] Speed: 23.2[samples/s]
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+ 2025-05-22 09:52:28,899 transreid.train INFO: Epoch[33] Iter[50/162] Loss:0.189 Acc:0.989 Lr:4.95e-04
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+ 2025-05-22 09:59:26,188 transreid.train INFO: Epoch[33] Iter[100/162] Loss:0.178 Acc:0.989 Lr:4.95e-04
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+ 2025-05-22 10:06:23,042 transreid.train INFO: Epoch[33] Iter[150/162] Loss:0.174 Acc:0.989 Lr:4.95e-04
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+ 2025-05-22 10:06:48,270 transreid.train INFO: Epoch 33 done. Time per batch: 8.343[s] Speed: 23.0[samples/s]
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+ 2025-05-22 10:13:44,065 transreid.train INFO: Epoch[34] Iter[50/162] Loss:0.183 Acc:0.988 Lr:4.89e-04
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+ 2025-05-22 10:20:38,725 transreid.train INFO: Epoch[34] Iter[100/162] Loss:0.166 Acc:0.990 Lr:4.89e-04
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+ 2025-05-22 10:27:33,131 transreid.train INFO: Epoch[34] Iter[150/162] Loss:0.162 Acc:0.990 Lr:4.89e-04
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+ 2025-05-22 10:28:06,708 transreid.train INFO: Epoch 34 done. Time per batch: 8.302[s] Speed: 23.1[samples/s]
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+ 2025-05-22 10:35:02,949 transreid.train INFO: Epoch[35] Iter[50/162] Loss:0.190 Acc:0.988 Lr:4.83e-04
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+ 2025-05-22 10:41:58,432 transreid.train INFO: Epoch[35] Iter[100/162] Loss:0.167 Acc:0.989 Lr:4.83e-04
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+ 2025-05-22 10:48:53,812 transreid.train INFO: Epoch[35] Iter[150/162] Loss:0.155 Acc:0.990 Lr:4.83e-04
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+ 2025-05-22 10:49:18,523 transreid.train INFO: Epoch 35 done. Time per batch: 8.313[s] Speed: 23.1[samples/s]
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+ 2025-05-22 10:56:14,148 transreid.train INFO: Epoch[36] Iter[50/162] Loss:0.165 Acc:0.988 Lr:4.77e-04
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+ 2025-05-22 11:03:07,381 transreid.train INFO: Epoch[36] Iter[100/162] Loss:0.154 Acc:0.989 Lr:4.77e-04
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+ 2025-05-22 11:10:01,502 transreid.train INFO: Epoch[36] Iter[150/162] Loss:0.143 Acc:0.990 Lr:4.77e-04
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+ 2025-05-22 11:10:26,794 transreid.train INFO: Epoch 36 done. Time per batch: 8.289[s] Speed: 23.2[samples/s]
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+ 2025-05-22 11:17:23,035 transreid.train INFO: Epoch[37] Iter[50/162] Loss:0.161 Acc:0.990 Lr:4.70e-04
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+ 2025-05-22 11:24:15,331 transreid.train INFO: Epoch[37] Iter[100/162] Loss:0.157 Acc:0.989 Lr:4.70e-04
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+ 2025-05-22 11:31:08,899 transreid.train INFO: Epoch[37] Iter[150/162] Loss:0.150 Acc:0.990 Lr:4.70e-04
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+ 2025-05-22 11:31:41,809 transreid.train INFO: Epoch 37 done. Time per batch: 8.279[s] Speed: 23.2[samples/s]
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+ 2025-05-22 11:38:36,599 transreid.train INFO: Epoch[38] Iter[50/162] Loss:0.169 Acc:0.988 Lr:4.64e-04
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+ 2025-05-22 11:45:29,576 transreid.train INFO: Epoch[38] Iter[100/162] Loss:0.151 Acc:0.989 Lr:4.64e-04
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+ 2025-05-22 11:52:23,366 transreid.train INFO: Epoch[38] Iter[150/162] Loss:0.146 Acc:0.989 Lr:4.64e-04
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+ 2025-05-22 11:52:56,483 transreid.train INFO: Epoch 38 done. Time per batch: 8.277[s] Speed: 23.2[samples/s]
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+ 2025-05-22 11:59:51,545 transreid.train INFO: Epoch[39] Iter[50/162] Loss:0.161 Acc:0.988 Lr:4.57e-04
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+ 2025-05-22 12:06:46,063 transreid.train INFO: Epoch[39] Iter[100/162] Loss:0.148 Acc:0.989 Lr:4.57e-04
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+ 2025-05-22 12:13:40,002 transreid.train INFO: Epoch[39] Iter[150/162] Loss:0.141 Acc:0.989 Lr:4.57e-04
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+ 2025-05-22 12:14:12,845 transreid.train INFO: Epoch 39 done. Time per batch: 8.288[s] Speed: 23.2[samples/s]
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+ 2025-05-22 12:21:06,278 transreid.train INFO: Epoch[40] Iter[50/162] Loss:0.151 Acc:0.990 Lr:4.50e-04
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+ 2025-05-22 12:27:55,396 transreid.train INFO: Epoch[40] Iter[100/162] Loss:0.137 Acc:0.991 Lr:4.50e-04
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+ 2025-05-22 12:34:44,538 transreid.train INFO: Epoch[40] Iter[150/162] Loss:0.135 Acc:0.990 Lr:4.50e-04
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+ 2025-05-22 12:35:17,618 transreid.train INFO: Epoch 40 done. Time per batch: 8.213[s] Speed: 23.4[samples/s]
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+ 2025-05-22 12:42:13,349 transreid.train INFO: Epoch[41] Iter[50/162] Loss:0.149 Acc:0.990 Lr:4.43e-04
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+ 2025-05-22 12:49:06,311 transreid.train INFO: Epoch[41] Iter[100/162] Loss:0.147 Acc:0.990 Lr:4.43e-04
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+ 2025-05-22 12:55:59,314 transreid.train INFO: Epoch[41] Iter[150/162] Loss:0.130 Acc:0.991 Lr:4.43e-04
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+ 2025-05-22 12:56:33,006 transreid.train INFO: Epoch 41 done. Time per batch: 8.279[s] Speed: 23.2[samples/s]
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+ 2025-05-22 13:03:23,069 transreid.train INFO: Epoch[42] Iter[50/162] Loss:0.129 Acc:0.992 Lr:4.37e-04
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+ 2025-05-22 13:10:15,029 transreid.train INFO: Epoch[42] Iter[100/162] Loss:0.132 Acc:0.990 Lr:4.37e-04
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+ 2025-05-22 13:17:07,931 transreid.train INFO: Epoch[42] Iter[150/162] Loss:0.126 Acc:0.991 Lr:4.37e-04
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+ 2025-05-22 13:17:41,026 transreid.train INFO: Epoch 42 done. Time per batch: 8.234[s] Speed: 23.3[samples/s]
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+ 2025-05-22 13:24:36,245 transreid.train INFO: Epoch[43] Iter[50/162] Loss:0.143 Acc:0.990 Lr:4.29e-04
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+ 2025-05-22 13:31:28,593 transreid.train INFO: Epoch[43] Iter[100/162] Loss:0.136 Acc:0.990 Lr:4.29e-04
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+ 2025-05-22 13:38:21,670 transreid.train INFO: Epoch[43] Iter[150/162] Loss:0.130 Acc:0.990 Lr:4.29e-04
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+ 2025-05-22 13:38:55,000 transreid.train INFO: Epoch 43 done. Time per batch: 8.273[s] Speed: 23.2[samples/s]
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+ 2025-05-22 13:45:47,603 transreid.train INFO: Epoch[44] Iter[50/162] Loss:0.130 Acc:0.992 Lr:4.22e-04
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+ 2025-05-22 13:52:39,669 transreid.train INFO: Epoch[44] Iter[100/162] Loss:0.125 Acc:0.991 Lr:4.22e-04
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+ 2025-05-22 13:59:31,445 transreid.train INFO: Epoch[44] Iter[150/162] Loss:0.121 Acc:0.991 Lr:4.22e-04
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+ 2025-05-22 14:00:04,482 transreid.train INFO: Epoch 44 done. Time per batch: 8.243[s] Speed: 23.3[samples/s]
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+ 2025-05-22 14:06:58,387 transreid.train INFO: Epoch[45] Iter[50/162] Loss:0.147 Acc:0.989 Lr:4.15e-04
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+ 2025-05-22 14:13:51,763 transreid.train INFO: Epoch[45] Iter[100/162] Loss:0.134 Acc:0.990 Lr:4.15e-04
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+ 2025-05-22 14:20:44,039 transreid.train INFO: Epoch[45] Iter[150/162] Loss:0.121 Acc:0.991 Lr:4.15e-04
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+ 2025-05-22 14:21:17,934 transreid.train INFO: Epoch 45 done. Time per batch: 8.269[s] Speed: 23.2[samples/s]
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+ 2025-05-22 14:28:11,087 transreid.train INFO: Epoch[46] Iter[50/162] Loss:0.116 Acc:0.990 Lr:4.08e-04
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+ 2025-05-22 14:35:02,164 transreid.train INFO: Epoch[46] Iter[100/162] Loss:0.109 Acc:0.991 Lr:4.08e-04
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+ 2025-05-22 14:41:53,318 transreid.train INFO: Epoch[46] Iter[150/162] Loss:0.105 Acc:0.992 Lr:4.08e-04
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+ 2025-05-22 14:42:17,826 transreid.train INFO: Epoch 46 done. Time per batch: 8.235[s] Speed: 23.3[samples/s]
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+ 2025-05-22 14:49:11,959 transreid.train INFO: Epoch[47] Iter[50/162] Loss:0.109 Acc:0.993 Lr:4.01e-04
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+ 2025-05-22 14:56:04,449 transreid.train INFO: Epoch[47] Iter[100/162] Loss:0.097 Acc:0.994 Lr:4.01e-04
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+ 2025-05-22 15:02:56,466 transreid.train INFO: Epoch[47] Iter[150/162] Loss:0.092 Acc:0.993 Lr:4.01e-04
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+ 2025-05-22 15:03:29,509 transreid.train INFO: Epoch 47 done. Time per batch: 8.258[s] Speed: 23.3[samples/s]
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+ 2025-05-22 15:10:19,930 transreid.train INFO: Epoch[48] Iter[50/162] Loss:0.101 Acc:0.992 Lr:3.93e-04
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+ 2025-05-22 15:17:06,154 transreid.train INFO: Epoch[48] Iter[100/162] Loss:0.092 Acc:0.993 Lr:3.93e-04
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+ 2025-05-22 15:23:52,580 transreid.train INFO: Epoch[48] Iter[150/162] Loss:0.093 Acc:0.992 Lr:3.93e-04
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+ 2025-05-22 15:24:17,145 transreid.train INFO: Epoch 48 done. Time per batch: 8.154[s] Speed: 23.5[samples/s]
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+ 2025-05-22 15:31:12,314 transreid.train INFO: Epoch[49] Iter[50/162] Loss:0.114 Acc:0.990 Lr:3.86e-04
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+ 2025-05-22 15:38:06,880 transreid.train INFO: Epoch[49] Iter[100/162] Loss:0.111 Acc:0.990 Lr:3.86e-04
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+ 2025-05-22 15:44:58,188 transreid.train INFO: Epoch[49] Iter[150/162] Loss:0.103 Acc:0.991 Lr:3.86e-04
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+ 2025-05-22 15:45:31,260 transreid.train INFO: Epoch 49 done. Time per batch: 8.273[s] Speed: 23.2[samples/s]
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+ 2025-05-22 15:52:27,215 transreid.train INFO: Epoch[50] Iter[50/162] Loss:0.090 Acc:0.993 Lr:3.78e-04
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+ 2025-05-22 15:59:20,380 transreid.train INFO: Epoch[50] Iter[100/162] Loss:0.080 Acc:0.994 Lr:3.78e-04
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+ 2025-05-22 16:06:13,836 transreid.train INFO: Epoch[50] Iter[150/162] Loss:0.080 Acc:0.994 Lr:3.78e-04
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+ 2025-05-22 16:06:39,156 transreid.train INFO: Epoch 50 done. Time per batch: 8.287[s] Speed: 23.2[samples/s]
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+ 2025-05-22 16:13:34,056 transreid.train INFO: Epoch[51] Iter[50/162] Loss:0.086 Acc:0.995 Lr:3.70e-04
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+ 2025-05-22 16:20:26,852 transreid.train INFO: Epoch[51] Iter[100/162] Loss:0.086 Acc:0.994 Lr:3.70e-04
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+ 2025-05-22 16:27:19,764 transreid.train INFO: Epoch[51] Iter[150/162] Loss:0.083 Acc:0.994 Lr:3.70e-04
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+ 2025-05-22 16:27:44,678 transreid.train INFO: Epoch 51 done. Time per batch: 8.268[s] Speed: 23.2[samples/s]
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+ 2025-05-22 16:34:40,202 transreid.train INFO: Epoch[52] Iter[50/162] Loss:0.098 Acc:0.992 Lr:3.63e-04
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+ 2025-05-22 16:41:33,830 transreid.train INFO: Epoch[52] Iter[100/162] Loss:0.092 Acc:0.992 Lr:3.63e-04
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+ 2025-05-22 16:48:27,821 transreid.train INFO: Epoch[52] Iter[150/162] Loss:0.083 Acc:0.993 Lr:3.63e-04
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+ 2025-05-22 16:48:52,589 transreid.train INFO: Epoch 52 done. Time per batch: 8.287[s] Speed: 23.2[samples/s]
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+ 2025-05-22 16:55:46,526 transreid.train INFO: Epoch[53] Iter[50/162] Loss:0.096 Acc:0.993 Lr:3.55e-04
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+ 2025-05-22 17:02:39,629 transreid.train INFO: Epoch[53] Iter[100/162] Loss:0.094 Acc:0.993 Lr:3.55e-04
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+ 2025-05-22 17:09:34,167 transreid.train INFO: Epoch[53] Iter[150/162] Loss:0.085 Acc:0.993 Lr:3.55e-04
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+ 2025-05-22 17:10:07,043 transreid.train INFO: Epoch 53 done. Time per batch: 8.276[s] Speed: 23.2[samples/s]
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+ 2025-05-22 17:17:01,505 transreid.train INFO: Epoch[54] Iter[50/162] Loss:0.088 Acc:0.994 Lr:3.47e-04
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+ 2025-05-22 17:23:55,618 transreid.train INFO: Epoch[54] Iter[100/162] Loss:0.088 Acc:0.993 Lr:3.47e-04
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+ 2025-05-22 17:30:49,934 transreid.train INFO: Epoch[54] Iter[150/162] Loss:0.086 Acc:0.993 Lr:3.47e-04
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+ 2025-05-22 17:31:22,754 transreid.train INFO: Epoch 54 done. Time per batch: 8.284[s] Speed: 23.2[samples/s]
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+ 2025-05-22 17:38:17,910 transreid.train INFO: Epoch[55] Iter[50/162] Loss:0.077 Acc:0.994 Lr:3.40e-04
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+ 2025-05-22 17:45:12,967 transreid.train INFO: Epoch[55] Iter[100/162] Loss:0.068 Acc:0.995 Lr:3.40e-04
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+ 2025-05-22 17:52:08,125 transreid.train INFO: Epoch[55] Iter[150/162] Loss:0.071 Acc:0.994 Lr:3.40e-04
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+ 2025-05-22 17:52:32,574 transreid.train INFO: Epoch 55 done. Time per batch: 8.299[s] Speed: 23.1[samples/s]
382
+ 2025-05-22 17:59:27,043 transreid.train INFO: Epoch[56] Iter[50/162] Loss:0.087 Acc:0.993 Lr:3.32e-04
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+ 2025-05-22 18:06:19,938 transreid.train INFO: Epoch[56] Iter[100/162] Loss:0.085 Acc:0.993 Lr:3.32e-04
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+ 2025-05-22 18:13:13,678 transreid.train INFO: Epoch[56] Iter[150/162] Loss:0.084 Acc:0.993 Lr:3.32e-04
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+ 2025-05-22 18:13:38,941 transreid.train INFO: Epoch 56 done. Time per batch: 8.277[s] Speed: 23.2[samples/s]
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+ 2025-05-22 18:20:34,755 transreid.train INFO: Epoch[57] Iter[50/162] Loss:0.070 Acc:0.995 Lr:3.24e-04
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+ 2025-05-22 18:27:26,396 transreid.train INFO: Epoch[57] Iter[100/162] Loss:0.075 Acc:0.994 Lr:3.24e-04
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+ 2025-05-22 18:34:19,519 transreid.train INFO: Epoch[57] Iter[150/162] Loss:0.069 Acc:0.995 Lr:3.24e-04
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+ 2025-05-22 18:34:52,413 transreid.train INFO: Epoch 57 done. Time per batch: 8.269[s] Speed: 23.2[samples/s]
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+ 2025-05-22 18:41:46,669 transreid.train INFO: Epoch[58] Iter[50/162] Loss:0.081 Acc:0.994 Lr:3.16e-04
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+ 2025-05-22 18:48:39,191 transreid.train INFO: Epoch[58] Iter[100/162] Loss:0.072 Acc:0.995 Lr:3.16e-04
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+ 2025-05-22 18:55:32,634 transreid.train INFO: Epoch[58] Iter[150/162] Loss:0.071 Acc:0.994 Lr:3.16e-04
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+ 2025-05-22 18:56:05,720 transreid.train INFO: Epoch 58 done. Time per batch: 8.268[s] Speed: 23.2[samples/s]
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+ 2025-05-22 19:02:59,977 transreid.train INFO: Epoch[59] Iter[50/162] Loss:0.082 Acc:0.993 Lr:3.08e-04
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+ 2025-05-22 19:09:54,370 transreid.train INFO: Epoch[59] Iter[100/162] Loss:0.070 Acc:0.994 Lr:3.08e-04
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+ 2025-05-22 19:16:48,157 transreid.train INFO: Epoch[59] Iter[150/162] Loss:0.063 Acc:0.995 Lr:3.08e-04
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+ 2025-05-22 19:17:12,604 transreid.train INFO: Epoch 59 done. Time per batch: 8.280[s] Speed: 23.2[samples/s]
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+ 2025-05-22 19:24:06,545 transreid.train INFO: Epoch[60] Iter[50/162] Loss:0.061 Acc:0.996 Lr:3.01e-04
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+ 2025-05-22 19:31:04,390 transreid.train INFO: Epoch[60] Iter[100/162] Loss:0.057 Acc:0.996 Lr:3.01e-04
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+ 2025-05-22 19:38:01,176 transreid.train INFO: Epoch[60] Iter[150/162] Loss:0.054 Acc:0.996 Lr:3.01e-04
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+ 2025-05-22 19:38:35,416 transreid.train INFO: Epoch 60 done. Time per batch: 8.330[s] Speed: 23.0[samples/s]
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+ 2025-05-22 19:45:27,166 transreid.train INFO: Epoch[61] Iter[50/162] Loss:0.065 Acc:0.993 Lr:2.93e-04
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+ 2025-05-22 19:52:32,606 transreid.train INFO: Epoch[61] Iter[100/162] Loss:0.052 Acc:0.995 Lr:2.93e-04
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+ 2025-05-22 19:59:29,856 transreid.train INFO: Epoch[61] Iter[150/162] Loss:0.053 Acc:0.995 Lr:2.93e-04
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+ 2025-05-22 20:00:01,823 transreid.train INFO: Epoch 61 done. Time per batch: 8.405[s] Speed: 22.8[samples/s]
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+ 2025-05-22 20:08:44,232 transreid.train INFO: Epoch[62] Iter[50/162] Loss:0.067 Acc:0.996 Lr:2.85e-04
407
+ 2025-05-22 20:17:23,796 transreid.train INFO: Epoch[62] Iter[100/162] Loss:0.065 Acc:0.995 Lr:2.85e-04
408
+ 2025-05-22 20:25:59,260 transreid.train INFO: Epoch[62] Iter[150/162] Loss:0.062 Acc:0.995 Lr:2.85e-04
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+ 2025-05-22 20:26:40,469 transreid.train INFO: Epoch 62 done. Time per batch: 10.381[s] Speed: 18.5[samples/s]
410
+ 2025-05-22 20:35:23,331 transreid.train INFO: Epoch[63] Iter[50/162] Loss:0.069 Acc:0.994 Lr:2.77e-04
411
+ 2025-05-22 20:44:04,641 transreid.train INFO: Epoch[63] Iter[100/162] Loss:0.056 Acc:0.995 Lr:2.77e-04
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+ 2025-05-22 20:52:42,018 transreid.train INFO: Epoch[63] Iter[150/162] Loss:0.055 Acc:0.995 Lr:2.77e-04
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+ 2025-05-22 20:53:20,556 transreid.train INFO: Epoch 63 done. Time per batch: 10.390[s] Speed: 18.5[samples/s]
414
+ 2025-05-22 21:02:03,597 transreid.train INFO: Epoch[64] Iter[50/162] Loss:0.044 Acc:0.996 Lr:2.69e-04
415
+ 2025-05-22 21:10:44,799 transreid.train INFO: Epoch[64] Iter[100/162] Loss:0.048 Acc:0.996 Lr:2.69e-04
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+ 2025-05-22 21:19:27,734 transreid.train INFO: Epoch[64] Iter[150/162] Loss:0.047 Acc:0.996 Lr:2.69e-04
417
+ 2025-05-22 21:20:06,335 transreid.train INFO: Epoch 64 done. Time per batch: 10.427[s] Speed: 18.4[samples/s]
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+ 2025-05-22 21:28:47,206 transreid.train INFO: Epoch[65] Iter[50/162] Loss:0.053 Acc:0.997 Lr:2.62e-04
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+ 2025-05-22 21:36:53,047 transreid.train INFO: Epoch[65] Iter[100/162] Loss:0.050 Acc:0.996 Lr:2.62e-04
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+ 2025-05-22 21:43:46,779 transreid.train INFO: Epoch[65] Iter[150/162] Loss:0.044 Acc:0.996 Lr:2.62e-04
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+ 2025-05-22 21:44:20,355 transreid.train INFO: Epoch 65 done. Time per batch: 9.442[s] Speed: 20.3[samples/s]
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+ 2025-05-22 21:51:17,251 transreid.train INFO: Epoch[66] Iter[50/162] Loss:0.045 Acc:0.996 Lr:2.54e-04
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+ 2025-05-22 21:58:10,062 transreid.train INFO: Epoch[66] Iter[100/162] Loss:0.045 Acc:0.996 Lr:2.54e-04
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+ 2025-05-22 22:05:02,214 transreid.train INFO: Epoch[66] Iter[150/162] Loss:0.044 Acc:0.996 Lr:2.54e-04
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+ 2025-05-22 22:05:36,265 transreid.train INFO: Epoch 66 done. Time per batch: 8.285[s] Speed: 23.2[samples/s]
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+ 2025-05-22 22:12:30,466 transreid.train INFO: Epoch[67] Iter[50/162] Loss:0.043 Acc:0.996 Lr:2.46e-04
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+ 2025-05-22 22:19:26,001 transreid.train INFO: Epoch[67] Iter[100/162] Loss:0.042 Acc:0.997 Lr:2.46e-04
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+ 2025-05-22 22:26:18,190 transreid.train INFO: Epoch[67] Iter[150/162] Loss:0.042 Acc:0.996 Lr:2.46e-04
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+ 2025-05-22 22:26:50,831 transreid.train INFO: Epoch 67 done. Time per batch: 8.276[s] Speed: 23.2[samples/s]
430
+ 2025-05-22 22:33:43,978 transreid.train INFO: Epoch[68] Iter[50/162] Loss:0.055 Acc:0.996 Lr:2.38e-04
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+ 2025-05-22 22:40:33,889 transreid.train INFO: Epoch[68] Iter[100/162] Loss:0.046 Acc:0.997 Lr:2.38e-04
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+ 2025-05-22 22:47:23,665 transreid.train INFO: Epoch[68] Iter[150/162] Loss:0.043 Acc:0.997 Lr:2.38e-04
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+ 2025-05-22 22:47:48,414 transreid.train INFO: Epoch 68 done. Time per batch: 8.219[s] Speed: 23.4[samples/s]
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+ 2025-05-22 22:54:42,425 transreid.train INFO: Epoch[69] Iter[50/162] Loss:0.045 Acc:0.997 Lr:2.31e-04
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+ 2025-05-22 23:01:36,133 transreid.train INFO: Epoch[69] Iter[100/162] Loss:0.043 Acc:0.997 Lr:2.31e-04
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+ 2025-05-22 23:08:28,676 transreid.train INFO: Epoch[69] Iter[150/162] Loss:0.042 Acc:0.997 Lr:2.31e-04
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+ 2025-05-22 23:09:02,409 transreid.train INFO: Epoch 69 done. Time per batch: 8.273[s] Speed: 23.2[samples/s]
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+ 2025-05-22 23:15:58,013 transreid.train INFO: Epoch[70] Iter[50/162] Loss:0.049 Acc:0.996 Lr:2.23e-04
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+ 2025-05-22 23:22:49,945 transreid.train INFO: Epoch[70] Iter[100/162] Loss:0.042 Acc:0.996 Lr:2.23e-04
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+ 2025-05-22 23:29:44,758 transreid.train INFO: Epoch[70] Iter[150/162] Loss:0.042 Acc:0.996 Lr:2.23e-04
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+ 2025-05-22 23:30:25,395 transreid.train INFO: Epoch 70 done. Time per batch: 8.277[s] Speed: 23.2[samples/s]
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+ 2025-05-22 23:37:19,051 transreid.train INFO: Epoch[71] Iter[50/162] Loss:0.042 Acc:0.996 Lr:2.16e-04
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+ 2025-05-22 23:44:12,451 transreid.train INFO: Epoch[71] Iter[100/162] Loss:0.039 Acc:0.996 Lr:2.16e-04
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+ 2025-05-22 23:51:06,319 transreid.train INFO: Epoch[71] Iter[150/162] Loss:0.036 Acc:0.997 Lr:2.16e-04
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+ 2025-05-22 23:51:39,195 transreid.train INFO: Epoch 71 done. Time per batch: 8.268[s] Speed: 23.2[samples/s]
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+ 2025-05-22 23:58:33,585 transreid.train INFO: Epoch[72] Iter[50/162] Loss:0.044 Acc:0.996 Lr:2.08e-04
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+ 2025-05-23 00:05:28,341 transreid.train INFO: Epoch[72] Iter[100/162] Loss:0.040 Acc:0.997 Lr:2.08e-04
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+ 2025-05-23 00:12:23,353 transreid.train INFO: Epoch[72] Iter[150/162] Loss:0.038 Acc:0.997 Lr:2.08e-04
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+ 2025-05-23 00:12:56,146 transreid.train INFO: Epoch 72 done. Time per batch: 8.292[s] Speed: 23.2[samples/s]
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+ 2025-05-23 00:19:49,289 transreid.train INFO: Epoch[73] Iter[50/162] Loss:0.034 Acc:0.997 Lr:2.01e-04
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+ 2025-05-23 00:26:44,030 transreid.train INFO: Epoch[73] Iter[100/162] Loss:0.036 Acc:0.997 Lr:2.01e-04
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+ 2025-05-23 00:33:35,660 transreid.train INFO: Epoch[73] Iter[150/162] Loss:0.035 Acc:0.997 Lr:2.01e-04
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+ 2025-05-23 00:34:08,742 transreid.train INFO: Epoch 73 done. Time per batch: 8.264[s] Speed: 23.2[samples/s]
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+ 2025-05-23 00:41:02,637 transreid.train INFO: Epoch[74] Iter[50/162] Loss:0.031 Acc:0.997 Lr:1.93e-04
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+ 2025-05-23 00:47:54,024 transreid.train INFO: Epoch[74] Iter[100/162] Loss:0.027 Acc:0.998 Lr:1.93e-04
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+ 2025-05-23 00:54:46,291 transreid.train INFO: Epoch[74] Iter[150/162] Loss:0.026 Acc:0.998 Lr:1.93e-04
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+ 2025-05-23 00:55:11,452 transreid.train INFO: Epoch 74 done. Time per batch: 8.253[s] Speed: 23.3[samples/s]
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+ 2025-05-23 01:02:06,704 transreid.train INFO: Epoch[75] Iter[50/162] Loss:0.033 Acc:0.998 Lr:1.86e-04
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+ 2025-05-23 01:09:01,048 transreid.train INFO: Epoch[75] Iter[100/162] Loss:0.033 Acc:0.997 Lr:1.86e-04
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+ 2025-05-23 01:15:55,453 transreid.train INFO: Epoch[75] Iter[150/162] Loss:0.036 Acc:0.997 Lr:1.86e-04
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+ 2025-05-23 01:16:20,629 transreid.train INFO: Epoch 75 done. Time per batch: 8.295[s] Speed: 23.1[samples/s]
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+ 2025-05-23 01:23:12,556 transreid.train INFO: Epoch[76] Iter[50/162] Loss:0.031 Acc:0.998 Lr:1.79e-04
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+ 2025-05-23 01:30:02,123 transreid.train INFO: Epoch[76] Iter[100/162] Loss:0.027 Acc:0.998 Lr:1.79e-04
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+ 2025-05-23 01:36:51,972 transreid.train INFO: Epoch[76] Iter[150/162] Loss:0.028 Acc:0.998 Lr:1.79e-04
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+ 2025-05-23 01:37:16,672 transreid.train INFO: Epoch 76 done. Time per batch: 8.209[s] Speed: 23.4[samples/s]
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+ 2025-05-23 01:44:12,045 transreid.train INFO: Epoch[77] Iter[50/162] Loss:0.030 Acc:0.998 Lr:1.72e-04
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+ 2025-05-23 01:51:04,823 transreid.train INFO: Epoch[77] Iter[100/162] Loss:0.030 Acc:0.998 Lr:1.72e-04
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+ 2025-05-23 01:57:58,118 transreid.train INFO: Epoch[77] Iter[150/162] Loss:0.028 Acc:0.998 Lr:1.72e-04
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+ 2025-05-23 01:58:22,894 transreid.train INFO: Epoch 77 done. Time per batch: 8.276[s] Speed: 23.2[samples/s]
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+ 2025-05-23 02:05:17,231 transreid.train INFO: Epoch[78] Iter[50/162] Loss:0.030 Acc:0.998 Lr:1.65e-04
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+ 2025-05-23 02:12:09,394 transreid.train INFO: Epoch[78] Iter[100/162] Loss:0.029 Acc:0.998 Lr:1.65e-04
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+ 2025-05-23 02:19:00,937 transreid.train INFO: Epoch[78] Iter[150/162] Loss:0.026 Acc:0.998 Lr:1.65e-04
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+ 2025-05-23 02:19:34,527 transreid.train INFO: Epoch 78 done. Time per batch: 8.257[s] Speed: 23.3[samples/s]
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+ 2025-05-23 02:26:30,120 transreid.train INFO: Epoch[79] Iter[50/162] Loss:0.028 Acc:0.997 Lr:1.58e-04
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+ 2025-05-23 02:33:23,697 transreid.train INFO: Epoch[79] Iter[100/162] Loss:0.026 Acc:0.998 Lr:1.58e-04
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+ 2025-05-23 02:40:16,015 transreid.train INFO: Epoch[79] Iter[150/162] Loss:0.022 Acc:0.998 Lr:1.58e-04
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+ 2025-05-23 02:40:40,948 transreid.train INFO: Epoch 79 done. Time per batch: 8.277[s] Speed: 23.2[samples/s]
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+ 2025-05-23 02:47:34,467 transreid.train INFO: Epoch[80] Iter[50/162] Loss:0.026 Acc:0.998 Lr:1.51e-04
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+ 2025-05-23 02:54:25,714 transreid.train INFO: Epoch[80] Iter[100/162] Loss:0.024 Acc:0.998 Lr:1.51e-04
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+ 2025-05-23 03:01:17,620 transreid.train INFO: Epoch[80] Iter[150/162] Loss:0.022 Acc:0.998 Lr:1.51e-04
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+ 2025-05-23 03:01:34,189 transreid.train INFO: Epoch 80 done. Time per batch: 8.245[s] Speed: 23.3[samples/s]
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+ 2025-05-23 03:08:28,689 transreid.train INFO: Epoch[81] Iter[50/162] Loss:0.020 Acc:0.999 Lr:1.44e-04
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+ 2025-05-23 03:15:21,810 transreid.train INFO: Epoch[81] Iter[100/162] Loss:0.024 Acc:0.998 Lr:1.44e-04
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+ 2025-05-23 03:22:15,977 transreid.train INFO: Epoch[81] Iter[150/162] Loss:0.023 Acc:0.998 Lr:1.44e-04
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+ 2025-05-23 03:22:49,051 transreid.train INFO: Epoch 81 done. Time per batch: 8.276[s] Speed: 23.2[samples/s]
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+ 2025-05-23 03:29:43,246 transreid.train INFO: Epoch[82] Iter[50/162] Loss:0.021 Acc:0.998 Lr:1.38e-04
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+ 2025-05-23 03:36:36,241 transreid.train INFO: Epoch[82] Iter[100/162] Loss:0.023 Acc:0.998 Lr:1.38e-04
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+ 2025-05-23 03:43:28,029 transreid.train INFO: Epoch[82] Iter[150/162] Loss:0.022 Acc:0.998 Lr:1.38e-04
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+ 2025-05-23 03:43:53,023 transreid.train INFO: Epoch 82 done. Time per batch: 8.261[s] Speed: 23.2[samples/s]
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+ 2025-05-23 03:50:46,789 transreid.train INFO: Epoch[83] Iter[50/162] Loss:0.025 Acc:0.998 Lr:1.31e-04
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+ 2025-05-23 03:57:40,753 transreid.train INFO: Epoch[83] Iter[100/162] Loss:0.021 Acc:0.998 Lr:1.31e-04
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+ 2025-05-23 04:04:36,155 transreid.train INFO: Epoch[83] Iter[150/162] Loss:0.022 Acc:0.998 Lr:1.31e-04
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+ 2025-05-23 04:05:10,303 transreid.train INFO: Epoch 83 done. Time per batch: 8.294[s] Speed: 23.1[samples/s]
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+ 2025-05-23 04:12:05,171 transreid.train INFO: Epoch[84] Iter[50/162] Loss:0.023 Acc:0.998 Lr:1.25e-04
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+ 2025-05-23 04:18:56,929 transreid.train INFO: Epoch[84] Iter[100/162] Loss:0.021 Acc:0.998 Lr:1.25e-04
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+ 2025-05-23 04:25:48,241 transreid.train INFO: Epoch[84] Iter[150/162] Loss:0.020 Acc:0.998 Lr:1.25e-04
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+ 2025-05-23 04:26:21,641 transreid.train INFO: Epoch 84 done. Time per batch: 8.255[s] Speed: 23.3[samples/s]
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+ 2025-05-23 04:33:15,719 transreid.train INFO: Epoch[85] Iter[50/162] Loss:0.026 Acc:0.998 Lr:1.18e-04
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+ 2025-05-23 04:40:08,670 transreid.train INFO: Epoch[85] Iter[100/162] Loss:0.022 Acc:0.998 Lr:1.18e-04
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+ 2025-05-23 04:47:02,173 transreid.train INFO: Epoch[85] Iter[150/162] Loss:0.020 Acc:0.998 Lr:1.18e-04
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+ 2025-05-23 04:47:27,369 transreid.train INFO: Epoch 85 done. Time per batch: 8.273[s] Speed: 23.2[samples/s]
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+ 2025-05-23 04:54:21,382 transreid.train INFO: Epoch[86] Iter[50/162] Loss:0.019 Acc:0.999 Lr:1.12e-04
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+ 2025-05-23 05:01:16,177 transreid.train INFO: Epoch[86] Iter[100/162] Loss:0.016 Acc:0.999 Lr:1.12e-04
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+ 2025-05-23 05:08:10,569 transreid.train INFO: Epoch[86] Iter[150/162] Loss:0.017 Acc:0.999 Lr:1.12e-04
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+ 2025-05-23 05:08:35,528 transreid.train INFO: Epoch 86 done. Time per batch: 8.289[s] Speed: 23.2[samples/s]
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+ 2025-05-23 05:15:30,386 transreid.train INFO: Epoch[87] Iter[50/162] Loss:0.017 Acc:0.999 Lr:1.06e-04
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+ 2025-05-23 05:22:23,326 transreid.train INFO: Epoch[87] Iter[100/162] Loss:0.018 Acc:0.998 Lr:1.06e-04
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+ 2025-05-23 05:29:16,455 transreid.train INFO: Epoch[87] Iter[150/162] Loss:0.021 Acc:0.998 Lr:1.06e-04
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+ 2025-05-23 05:29:41,183 transreid.train INFO: Epoch 87 done. Time per batch: 8.272[s] Speed: 23.2[samples/s]
510
+ 2025-05-23 05:36:34,937 transreid.train INFO: Epoch[88] Iter[50/162] Loss:0.024 Acc:0.998 Lr:1.00e-04
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+ 2025-05-23 05:43:29,892 transreid.train INFO: Epoch[88] Iter[100/162] Loss:0.020 Acc:0.998 Lr:1.00e-04
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+ 2025-05-23 05:50:22,958 transreid.train INFO: Epoch[88] Iter[150/162] Loss:0.020 Acc:0.998 Lr:1.00e-04
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+ 2025-05-23 05:50:47,717 transreid.train INFO: Epoch 88 done. Time per batch: 8.278[s] Speed: 23.2[samples/s]
514
+ 2025-05-23 05:57:42,266 transreid.train INFO: Epoch[89] Iter[50/162] Loss:0.017 Acc:0.998 Lr:9.45e-05
515
+ 2025-05-23 06:04:35,637 transreid.train INFO: Epoch[89] Iter[100/162] Loss:0.017 Acc:0.999 Lr:9.45e-05
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+ 2025-05-23 06:11:28,745 transreid.train INFO: Epoch[89] Iter[150/162] Loss:0.017 Acc:0.998 Lr:9.45e-05
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+ 2025-05-23 06:12:02,005 transreid.train INFO: Epoch 89 done. Time per batch: 8.275[s] Speed: 23.2[samples/s]
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+ 2025-05-23 06:18:56,577 transreid.train INFO: Epoch[90] Iter[50/162] Loss:0.016 Acc:0.998 Lr:8.89e-05
519
+ 2025-05-23 06:25:48,974 transreid.train INFO: Epoch[90] Iter[100/162] Loss:0.015 Acc:0.999 Lr:8.89e-05
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+ 2025-05-23 06:32:43,623 transreid.train INFO: Epoch[90] Iter[150/162] Loss:0.014 Acc:0.999 Lr:8.89e-05
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+ 2025-05-23 06:33:08,390 transreid.train INFO: Epoch 90 done. Time per batch: 8.277[s] Speed: 23.2[samples/s]
522
+ 2025-05-23 06:40:03,803 transreid.train INFO: Epoch[91] Iter[50/162] Loss:0.016 Acc:0.998 Lr:8.34e-05
523
+ 2025-05-23 06:46:56,925 transreid.train INFO: Epoch[91] Iter[100/162] Loss:0.015 Acc:0.998 Lr:8.34e-05
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+ 2025-05-23 06:53:50,051 transreid.train INFO: Epoch[91] Iter[150/162] Loss:0.013 Acc:0.998 Lr:8.34e-05
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+ 2025-05-23 06:54:14,765 transreid.train INFO: Epoch 91 done. Time per batch: 8.274[s] Speed: 23.2[samples/s]
526
+ 2025-05-23 07:01:10,779 transreid.train INFO: Epoch[92] Iter[50/162] Loss:0.017 Acc:0.998 Lr:7.81e-05
527
+ 2025-05-23 07:08:04,671 transreid.train INFO: Epoch[92] Iter[100/162] Loss:0.014 Acc:0.998 Lr:7.81e-05
528
+ 2025-05-23 07:14:59,030 transreid.train INFO: Epoch[92] Iter[150/162] Loss:0.015 Acc:0.998 Lr:7.81e-05
529
+ 2025-05-23 07:15:32,335 transreid.train INFO: Epoch 92 done. Time per batch: 8.296[s] Speed: 23.1[samples/s]
530
+ 2025-05-23 07:22:27,942 transreid.train INFO: Epoch[93] Iter[50/162] Loss:0.016 Acc:0.999 Lr:7.29e-05
531
+ 2025-05-23 07:29:22,945 transreid.train INFO: Epoch[93] Iter[100/162] Loss:0.015 Acc:0.999 Lr:7.29e-05
532
+ 2025-05-23 07:36:16,211 transreid.train INFO: Epoch[93] Iter[150/162] Loss:0.014 Acc:0.999 Lr:7.29e-05
533
+ 2025-05-23 07:36:49,248 transreid.train INFO: Epoch 93 done. Time per batch: 8.292[s] Speed: 23.2[samples/s]
534
+ 2025-05-23 07:43:41,574 transreid.train INFO: Epoch[94] Iter[50/162] Loss:0.015 Acc:0.999 Lr:6.79e-05
535
+ 2025-05-23 07:50:34,335 transreid.train INFO: Epoch[94] Iter[100/162] Loss:0.015 Acc:0.999 Lr:6.79e-05
536
+ 2025-05-23 07:57:27,246 transreid.train INFO: Epoch[94] Iter[150/162] Loss:0.015 Acc:0.999 Lr:6.79e-05
537
+ 2025-05-23 07:58:08,424 transreid.train INFO: Epoch 94 done. Time per batch: 8.253[s] Speed: 23.3[samples/s]
538
+ 2025-05-23 08:05:02,368 transreid.train INFO: Epoch[95] Iter[50/162] Loss:0.017 Acc:0.998 Lr:6.31e-05
539
+ 2025-05-23 08:11:54,582 transreid.train INFO: Epoch[95] Iter[100/162] Loss:0.015 Acc:0.998 Lr:6.31e-05
540
+ 2025-05-23 08:18:46,592 transreid.train INFO: Epoch[95] Iter[150/162] Loss:0.013 Acc:0.998 Lr:6.31e-05
541
+ 2025-05-23 08:19:11,551 transreid.train INFO: Epoch 95 done. Time per batch: 8.256[s] Speed: 23.3[samples/s]
542
+ 2025-05-23 08:26:05,185 transreid.train INFO: Epoch[96] Iter[50/162] Loss:0.013 Acc:0.998 Lr:5.84e-05
543
+ 2025-05-23 08:32:59,324 transreid.train INFO: Epoch[96] Iter[100/162] Loss:0.014 Acc:0.998 Lr:5.84e-05
544
+ 2025-05-23 08:39:51,235 transreid.train INFO: Epoch[96] Iter[150/162] Loss:0.015 Acc:0.998 Lr:5.84e-05
545
+ 2025-05-23 08:40:32,976 transreid.train INFO: Epoch 96 done. Time per batch: 8.267[s] Speed: 23.2[samples/s]
546
+ 2025-05-23 08:47:27,180 transreid.train INFO: Epoch[97] Iter[50/162] Loss:0.014 Acc:0.999 Lr:5.39e-05
547
+ 2025-05-23 08:54:20,513 transreid.train INFO: Epoch[97] Iter[100/162] Loss:0.015 Acc:0.999 Lr:5.39e-05
548
+ 2025-05-23 09:01:14,688 transreid.train INFO: Epoch[97] Iter[150/162] Loss:0.014 Acc:0.999 Lr:5.39e-05
549
+ 2025-05-23 09:01:47,739 transreid.train INFO: Epoch 97 done. Time per batch: 8.278[s] Speed: 23.2[samples/s]
550
+ 2025-05-23 09:08:40,321 transreid.train INFO: Epoch[98] Iter[50/162] Loss:0.019 Acc:0.998 Lr:4.95e-05
551
+ 2025-05-23 09:15:32,746 transreid.train INFO: Epoch[98] Iter[100/162] Loss:0.015 Acc:0.999 Lr:4.95e-05
552
+ 2025-05-23 09:22:25,051 transreid.train INFO: Epoch[98] Iter[150/162] Loss:0.013 Acc:0.999 Lr:4.95e-05
553
+ 2025-05-23 09:22:50,263 transreid.train INFO: Epoch 98 done. Time per batch: 8.252[s] Speed: 23.3[samples/s]
554
+ 2025-05-23 09:29:47,201 transreid.train INFO: Epoch[99] Iter[50/162] Loss:0.009 Acc:1.000 Lr:4.53e-05
555
+ 2025-05-23 09:36:39,402 transreid.train INFO: Epoch[99] Iter[100/162] Loss:0.009 Acc:0.999 Lr:4.53e-05
556
+ 2025-05-23 09:43:31,772 transreid.train INFO: Epoch[99] Iter[150/162] Loss:0.009 Acc:0.999 Lr:4.53e-05
557
+ 2025-05-23 09:43:56,725 transreid.train INFO: Epoch 99 done. Time per batch: 8.278[s] Speed: 23.2[samples/s]
558
+ 2025-05-23 09:50:52,335 transreid.train INFO: Epoch[100] Iter[50/162] Loss:0.009 Acc:1.000 Lr:4.13e-05
559
+ 2025-05-23 09:57:47,518 transreid.train INFO: Epoch[100] Iter[100/162] Loss:0.010 Acc:0.999 Lr:4.13e-05
560
+ 2025-05-23 10:04:40,951 transreid.train INFO: Epoch[100] Iter[150/162] Loss:0.009 Acc:0.999 Lr:4.13e-05
561
+ 2025-05-23 10:05:05,722 transreid.train INFO: Epoch 100 done. Time per batch: 8.294[s] Speed: 23.1[samples/s]
562
+ 2025-05-23 10:11:59,440 transreid.train INFO: Epoch[101] Iter[50/162] Loss:0.015 Acc:0.999 Lr:3.75e-05
563
+ 2025-05-23 10:18:53,569 transreid.train INFO: Epoch[101] Iter[100/162] Loss:0.012 Acc:0.999 Lr:3.75e-05
564
+ 2025-05-23 10:25:46,069 transreid.train INFO: Epoch[101] Iter[150/162] Loss:0.011 Acc:0.999 Lr:3.75e-05
565
+ 2025-05-23 10:26:18,876 transreid.train INFO: Epoch 101 done. Time per batch: 8.265[s] Speed: 23.2[samples/s]
566
+ 2025-05-23 10:33:12,218 transreid.train INFO: Epoch[102] Iter[50/162] Loss:0.011 Acc:0.999 Lr:3.38e-05
567
+ 2025-05-23 10:40:04,243 transreid.train INFO: Epoch[102] Iter[100/162] Loss:0.010 Acc:0.999 Lr:3.38e-05
568
+ 2025-05-23 10:46:55,970 transreid.train INFO: Epoch[102] Iter[150/162] Loss:0.010 Acc:0.999 Lr:3.38e-05
569
+ 2025-05-23 10:47:29,006 transreid.train INFO: Epoch 102 done. Time per batch: 8.248[s] Speed: 23.3[samples/s]
570
+ 2025-05-23 10:54:22,919 transreid.train INFO: Epoch[103] Iter[50/162] Loss:0.008 Acc:0.999 Lr:3.04e-05
571
+ 2025-05-23 11:01:17,233 transreid.train INFO: Epoch[103] Iter[100/162] Loss:0.008 Acc:0.999 Lr:3.04e-05
572
+ 2025-05-23 11:08:11,402 transreid.train INFO: Epoch[103] Iter[150/162] Loss:0.008 Acc:0.999 Lr:3.04e-05
573
+ 2025-05-23 11:08:36,658 transreid.train INFO: Epoch 103 done. Time per batch: 8.285[s] Speed: 23.2[samples/s]
574
+ 2025-05-23 11:15:30,501 transreid.train INFO: Epoch[104] Iter[50/162] Loss:0.007 Acc:0.999 Lr:2.71e-05
575
+ 2025-05-23 11:22:25,800 transreid.train INFO: Epoch[104] Iter[100/162] Loss:0.010 Acc:0.999 Lr:2.71e-05
576
+ 2025-05-23 11:29:22,191 transreid.train INFO: Epoch[104] Iter[150/162] Loss:0.010 Acc:0.999 Lr:2.71e-05
577
+ 2025-05-23 11:29:47,158 transreid.train INFO: Epoch 104 done. Time per batch: 8.304[s] Speed: 23.1[samples/s]
578
+ 2025-05-23 11:36:41,499 transreid.train INFO: Epoch[105] Iter[50/162] Loss:0.013 Acc:0.999 Lr:2.40e-05
579
+ 2025-05-23 11:43:36,500 transreid.train INFO: Epoch[105] Iter[100/162] Loss:0.010 Acc:0.999 Lr:2.40e-05
580
+ 2025-05-23 11:50:30,284 transreid.train INFO: Epoch[105] Iter[150/162] Loss:0.010 Acc:0.999 Lr:2.40e-05
581
+ 2025-05-23 11:51:03,118 transreid.train INFO: Epoch 105 done. Time per batch: 8.285[s] Speed: 23.2[samples/s]
582
+ 2025-05-23 11:57:56,775 transreid.train INFO: Epoch[106] Iter[50/162] Loss:0.013 Acc:0.999 Lr:2.11e-05
583
+ 2025-05-23 12:04:47,915 transreid.train INFO: Epoch[106] Iter[100/162] Loss:0.011 Acc:0.999 Lr:2.11e-05
584
+ 2025-05-23 12:11:39,599 transreid.train INFO: Epoch[106] Iter[150/162] Loss:0.010 Acc:0.999 Lr:2.11e-05
585
+ 2025-05-23 12:12:20,833 transreid.train INFO: Epoch 106 done. Time per batch: 8.243[s] Speed: 23.3[samples/s]
586
+ 2025-05-23 12:19:19,723 transreid.train INFO: Epoch[107] Iter[50/162] Loss:0.009 Acc:0.999 Lr:1.84e-05
587
+ 2025-05-23 12:26:21,361 transreid.train INFO: Epoch[107] Iter[100/162] Loss:0.009 Acc:0.999 Lr:1.84e-05
588
+ 2025-05-23 12:33:22,751 transreid.train INFO: Epoch[107] Iter[150/162] Loss:0.010 Acc:0.999 Lr:1.84e-05
589
+ 2025-05-23 12:33:48,263 transreid.train INFO: Epoch 107 done. Time per batch: 8.415[s] Speed: 22.8[samples/s]
590
+ 2025-05-23 12:40:50,737 transreid.train INFO: Epoch[108] Iter[50/162] Loss:0.009 Acc:0.999 Lr:1.59e-05
591
+ 2025-05-23 12:47:50,730 transreid.train INFO: Epoch[108] Iter[100/162] Loss:0.009 Acc:0.999 Lr:1.59e-05
592
+ 2025-05-23 12:54:51,832 transreid.train INFO: Epoch[108] Iter[150/162] Loss:0.009 Acc:0.999 Lr:1.59e-05
593
+ 2025-05-23 12:55:25,586 transreid.train INFO: Epoch 108 done. Time per batch: 8.424[s] Speed: 22.8[samples/s]
594
+ 2025-05-23 13:02:28,027 transreid.train INFO: Epoch[109] Iter[50/162] Loss:0.011 Acc:0.999 Lr:1.35e-05
595
+ 2025-05-23 13:09:29,518 transreid.train INFO: Epoch[109] Iter[100/162] Loss:0.009 Acc:0.999 Lr:1.35e-05
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+ 2025-05-23 13:16:33,347 transreid.train INFO: Epoch[109] Iter[150/162] Loss:0.008 Acc:0.999 Lr:1.35e-05
597
+ 2025-05-23 13:17:07,903 transreid.train INFO: Epoch 109 done. Time per batch: 8.457[s] Speed: 22.7[samples/s]
598
+ 2025-05-23 13:24:13,755 transreid.train INFO: Epoch[110] Iter[50/162] Loss:0.007 Acc:1.000 Lr:1.14e-05
599
+ 2025-05-23 13:31:17,924 transreid.train INFO: Epoch[110] Iter[100/162] Loss:0.008 Acc:0.999 Lr:1.14e-05
600
+ 2025-05-23 13:38:21,870 transreid.train INFO: Epoch[110] Iter[150/162] Loss:0.007 Acc:0.999 Lr:1.14e-05
601
+ 2025-05-23 13:38:56,251 transreid.train INFO: Epoch 110 done. Time per batch: 8.496[s] Speed: 22.6[samples/s]
602
+ 2025-05-23 13:46:04,482 transreid.train INFO: Epoch[111] Iter[50/162] Loss:0.011 Acc:0.999 Lr:9.47e-06
603
+ 2025-05-23 13:53:07,058 transreid.train INFO: Epoch[111] Iter[100/162] Loss:0.009 Acc:0.999 Lr:9.47e-06
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+ 2025-05-23 14:00:10,312 transreid.train INFO: Epoch[111] Iter[150/162] Loss:0.009 Acc:0.999 Lr:9.47e-06
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+ 2025-05-23 14:00:43,197 transreid.train INFO: Epoch 111 done. Time per batch: 8.467[s] Speed: 22.7[samples/s]
606
+ 2025-05-23 14:07:39,421 transreid.train INFO: Epoch[112] Iter[50/162] Loss:0.009 Acc:0.999 Lr:7.74e-06
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+ 2025-05-23 14:14:34,721 transreid.train INFO: Epoch[112] Iter[100/162] Loss:0.009 Acc:0.999 Lr:7.74e-06
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+ 2025-05-23 14:21:30,967 transreid.train INFO: Epoch[112] Iter[150/162] Loss:0.008 Acc:0.999 Lr:7.74e-06
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+ 2025-05-23 14:22:03,996 transreid.train INFO: Epoch 112 done. Time per batch: 8.317[s] Speed: 23.1[samples/s]
610
+ 2025-05-23 14:28:57,597 transreid.train INFO: Epoch[113] Iter[50/162] Loss:0.009 Acc:0.999 Lr:6.21e-06
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+ 2025-05-23 14:35:52,269 transreid.train INFO: Epoch[113] Iter[100/162] Loss:0.008 Acc:0.999 Lr:6.21e-06
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+ 2025-05-23 14:42:45,610 transreid.train INFO: Epoch[113] Iter[150/162] Loss:0.010 Acc:0.999 Lr:6.21e-06
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+ 2025-05-23 14:43:10,269 transreid.train INFO: Epoch 113 done. Time per batch: 8.276[s] Speed: 23.2[samples/s]
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+ 2025-05-23 14:50:02,600 transreid.train INFO: Epoch[114] Iter[50/162] Loss:0.009 Acc:0.999 Lr:4.89e-06
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+ 2025-05-23 14:56:54,502 transreid.train INFO: Epoch[114] Iter[100/162] Loss:0.008 Acc:0.999 Lr:4.89e-06
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+ 2025-05-23 15:03:47,583 transreid.train INFO: Epoch[114] Iter[150/162] Loss:0.008 Acc:0.999 Lr:4.89e-06
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+ 2025-05-23 15:04:21,090 transreid.train INFO: Epoch 114 done. Time per batch: 8.252[s] Speed: 23.3[samples/s]
618
+ 2025-05-23 15:11:14,859 transreid.train INFO: Epoch[115] Iter[50/162] Loss:0.007 Acc:0.999 Lr:3.76e-06
619
+ 2025-05-23 15:18:09,811 transreid.train INFO: Epoch[115] Iter[100/162] Loss:0.008 Acc:0.999 Lr:3.76e-06
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+ 2025-05-23 15:25:06,669 transreid.train INFO: Epoch[115] Iter[150/162] Loss:0.008 Acc:0.999 Lr:3.76e-06
621
+ 2025-05-23 15:25:31,487 transreid.train INFO: Epoch 115 done. Time per batch: 8.303[s] Speed: 23.1[samples/s]
622
+ 2025-05-23 15:32:26,567 transreid.train INFO: Epoch[116] Iter[50/162] Loss:0.009 Acc:0.999 Lr:2.84e-06
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+ 2025-05-23 15:39:20,896 transreid.train INFO: Epoch[116] Iter[100/162] Loss:0.008 Acc:0.999 Lr:2.84e-06
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+ 2025-05-23 15:46:15,660 transreid.train INFO: Epoch[116] Iter[150/162] Loss:0.007 Acc:0.999 Lr:2.84e-06
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+ 2025-05-23 15:46:48,518 transreid.train INFO: Epoch 116 done. Time per batch: 8.292[s] Speed: 23.2[samples/s]
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+ 2025-05-23 15:53:43,833 transreid.train INFO: Epoch[117] Iter[50/162] Loss:0.010 Acc:0.999 Lr:2.12e-06
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+ 2025-05-23 16:00:38,128 transreid.train INFO: Epoch[117] Iter[100/162] Loss:0.008 Acc:0.999 Lr:2.12e-06
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+ 2025-05-23 16:07:31,922 transreid.train INFO: Epoch[117] Iter[150/162] Loss:0.008 Acc:0.999 Lr:2.12e-06
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+ 2025-05-23 16:07:56,717 transreid.train INFO: Epoch 117 done. Time per batch: 8.289[s] Speed: 23.2[samples/s]
630
+ 2025-05-23 16:14:51,229 transreid.train INFO: Epoch[118] Iter[50/162] Loss:0.009 Acc:0.999 Lr:1.61e-06
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+ 2025-05-23 16:21:45,528 transreid.train INFO: Epoch[118] Iter[100/162] Loss:0.008 Acc:0.999 Lr:1.61e-06
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+ 2025-05-23 16:28:38,632 transreid.train INFO: Epoch[118] Iter[150/162] Loss:0.007 Acc:0.999 Lr:1.61e-06
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+ 2025-05-23 16:29:04,111 transreid.train INFO: Epoch 118 done. Time per batch: 8.284[s] Speed: 23.2[samples/s]
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+ 2025-05-23 16:35:58,804 transreid.train INFO: Epoch[119] Iter[50/162] Loss:0.009 Acc:0.999 Lr:1.30e-06
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+ 2025-05-23 16:42:52,528 transreid.train INFO: Epoch[119] Iter[100/162] Loss:0.010 Acc:0.999 Lr:1.30e-06
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+ 2025-05-23 16:49:44,730 transreid.train INFO: Epoch[119] Iter[150/162] Loss:0.009 Acc:0.999 Lr:1.30e-06
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+ 2025-05-23 16:50:18,314 transreid.train INFO: Epoch 119 done. Time per batch: 8.274[s] Speed: 23.2[samples/s]
638
+ 2025-05-23 16:57:12,556 transreid.train INFO: Epoch[120] Iter[50/162] Loss:0.007 Acc:0.999 Lr:1.20e-06
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+ 2025-05-23 17:04:06,052 transreid.train INFO: Epoch[120] Iter[100/162] Loss:0.006 Acc:0.999 Lr:1.20e-06
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+ 2025-05-23 17:11:00,066 transreid.train INFO: Epoch[120] Iter[150/162] Loss:0.007 Acc:0.999 Lr:1.20e-06
641
+ 2025-05-23 17:11:24,970 transreid.train INFO: Epoch 120 done. Time per batch: 8.279[s] Speed: 23.2[samples/s]
transformer_120.pth ADDED
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