/
log.txt
172 lines (172 loc) · 15.2 KB
/
log.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
[04/25 05:59:39] BIKE INFO: ------------------------------------
[04/25 05:59:39] BIKE INFO: Environment Versions:
[04/25 05:59:39] BIKE INFO: - Python: 3.7.6 (default, Jan 8 2020, 19:59:22)
[GCC 7.3.0]
[04/25 05:59:39] BIKE INFO: - PyTorch: 1.12.1+cu102
[04/25 05:59:39] BIKE INFO: - TorchVison: 0.13.1+cu102
[04/25 05:59:39] BIKE INFO: ------------------------------------
[04/25 05:59:39] BIKE INFO: { 'data': { 'batch_size': 32,
'dataset': 'ucf101',
'image_tmpl': 'image_{:04d}.jpg',
'input_size': 224,
'label_list': 'lists/ucf101/ucf_labels.csv',
'modality': 'RGB',
'num_classes': 101,
'num_segments': 16,
'output_path': 'exps',
'random_shift': True,
'seg_length': 1,
'train_list': 'lists/ucf101/train_rgb_split_1.txt',
'train_root': '/bpfs/v2_mnt/VIS/wuwenhao/UCF101-frames',
'val_list': 'lists/ucf101/val_rgb_split_1.txt',
'val_root': '/bpfs/v2_mnt/VIS/wuwenhao/UCF101-frames',
'workers': 4},
'logging': {'eval_freq': 5, 'print_freq': 10},
'network': { 'arch': 'ViT-L/14',
'drop': 0,
'drop_out': 0.0,
'emb_dropout': 0.0,
'fix_text': True,
'fix_video': False,
'init': True,
'interaction': 'VCS',
'joint_st': False,
'sim_header': 'Transf',
'tm': False},
'pretrain': 'exps/k400/ViT-L/14/16f/k400-vit-l-14-f16.pt',
'resume': None,
'seed': 1024,
'solver': { 'clip_ratio': 0.1,
'epochs': 20,
'evaluate': False,
'grad_accumulation_steps': 1,
'loss_type': 'NCE',
'lr': 5e-05,
'lr_warmup_step': 5,
'optim': 'adamw',
'start_epoch': 0,
'type': 'cosine',
'weight_decay': 0.2}}
[04/25 05:59:39] BIKE INFO: ------------------------------------
[04/25 05:59:39] BIKE INFO: storing name: exps/ucf101/ViT-L/14/20230425_055921
[04/25 05:59:51] BIKE INFO: train transforms: [Compose(
<datasets.transforms.GroupScale object at 0x7f980cc3bb90>
Compose(
<datasets.transforms.GroupRandomSizedCrop object at 0x7f980cc3bb50>
<datasets.transforms.GroupRandomHorizontalFlip object at 0x7f980cc3ba90>
)
<datasets.transforms.GroupRandomGrayscale object at 0x7f980cc2ff10>
), Compose(
<datasets.transforms.Stack object at 0x7f980cc3bdd0>
<datasets.transforms.ToTorchFormatTensor object at 0x7f980cc3be50>
<datasets.transforms.GroupNormalize object at 0x7f980cc3be90>
)]
[04/25 05:59:51] BIKE INFO: val transforms: [Compose(
<datasets.transforms.GroupScale object at 0x7f980cc2f550>
<datasets.transforms.GroupCenterCrop object at 0x7f980cc2f4d0>
), Compose(
<datasets.transforms.Stack object at 0x7f980cc2f490>
<datasets.transforms.ToTorchFormatTensor object at 0x7f980cc2f1d0>
<datasets.transforms.GroupNormalize object at 0x7f980cc2f410>
)]
[04/25 05:59:52] BIKE INFO: => loading checkpoint 'exps/k400/ViT-L/14/16f/k400-vit-l-14-f16.pt'
[04/25 06:00:28] BIKE INFO: Epoch: [0][0/37], lr: 0.00e+00, eta: 6:13:40 Time 30.257 (30.257) Data 10.859 (10.859) Loss 1.0256 (1.0256)
[04/25 06:02:15] BIKE INFO: Epoch: [0][10/37], lr: 2.43e-06, eta: 2:32:21 Time 10.752 (12.506) Data 0.059 (1.054) Loss 0.8772 (1.0375)
[04/25 06:04:02] BIKE INFO: Epoch: [0][20/37], lr: 5.14e-06, eta: 2:19:40 Time 10.738 (11.624) Data 0.070 (0.592) Loss 0.8564 (0.9860)
[04/25 06:05:48] BIKE INFO: Epoch: [0][30/37], lr: 7.84e-06, eta: 2:13:46 Time 10.620 (11.290) Data 0.055 (0.424) Loss 0.5634 (0.9006)
[04/25 06:07:17] BIKE INFO: Epoch: [1][0/37], lr: 1.00e-05, eta: 5:02:03 Time 25.743 (25.743) Data 9.051 (9.051) Loss 0.5471 (0.5471)
[04/25 06:09:03] BIKE INFO: Epoch: [1][10/37], lr: 1.24e-05, eta: 2:18:47 Time 10.607 (11.999) Data 0.085 (0.908) Loss 0.3659 (0.4513)
[04/25 06:10:50] BIKE INFO: Epoch: [1][20/37], lr: 1.51e-05, eta: 2:09:23 Time 10.647 (11.349) Data 0.073 (0.522) Loss 0.3896 (0.4185)
[04/25 06:12:36] BIKE INFO: Epoch: [1][30/37], lr: 1.78e-05, eta: 2:04:48 Time 10.531 (11.110) Data 0.058 (0.381) Loss 0.2634 (0.3914)
[04/25 06:14:06] BIKE INFO: Epoch: [2][0/37], lr: 2.00e-05, eta: 4:55:40 Time 26.597 (26.597) Data 11.178 (11.178) Loss 0.3362 (0.3362)
[04/25 06:15:52] BIKE INFO: Epoch: [2][10/37], lr: 2.24e-05, eta: 2:12:03 Time 10.598 (12.061) Data 0.074 (1.099) Loss 0.2740 (0.2899)
[04/25 06:17:39] BIKE INFO: Epoch: [2][20/37], lr: 2.51e-05, eta: 2:02:38 Time 10.633 (11.373) Data 0.053 (0.617) Loss 0.2383 (0.2583)
[04/25 06:19:25] BIKE INFO: Epoch: [2][30/37], lr: 2.78e-05, eta: 1:58:16 Time 10.542 (11.140) Data 0.084 (0.450) Loss 0.1807 (0.2485)
[04/25 06:20:54] BIKE INFO: Epoch: [3][0/37], lr: 3.00e-05, eta: 4:23:19 Time 25.079 (25.079) Data 10.018 (10.018) Loss 0.2356 (0.2356)
[04/25 06:22:40] BIKE INFO: Epoch: [3][10/37], lr: 3.24e-05, eta: 2:03:20 Time 10.595 (11.937) Data 0.065 (0.972) Loss 0.1650 (0.1959)
[04/25 06:24:27] BIKE INFO: Epoch: [3][20/37], lr: 3.51e-05, eta: 1:55:01 Time 10.592 (11.314) Data 0.093 (0.552) Loss 0.1644 (0.1899)
[04/25 06:26:13] BIKE INFO: Epoch: [3][30/37], lr: 3.78e-05, eta: 1:50:50 Time 10.488 (11.084) Data 0.060 (0.401) Loss 0.1894 (0.1897)
[04/25 06:27:39] BIKE INFO: Epoch: [4][0/37], lr: 4.00e-05, eta: 3:46:17 Time 22.896 (22.896) Data 12.355 (12.355) Loss 0.1366 (0.1366)
[04/25 06:29:25] BIKE INFO: Epoch: [4][10/37], lr: 4.24e-05, eta: 1:54:14 Time 10.645 (11.757) Data 0.068 (1.193) Loss 0.2303 (0.1660)
[04/25 06:31:12] BIKE INFO: Epoch: [4][20/37], lr: 4.51e-05, eta: 1:47:14 Time 10.692 (11.229) Data 0.060 (0.665) Loss 0.1084 (0.1594)
[04/25 06:32:58] BIKE INFO: Epoch: [4][30/37], lr: 4.78e-05, eta: 1:43:38 Time 10.638 (11.045) Data 0.065 (0.475) Loss 0.1860 (0.1563)
[04/25 06:34:25] BIKE INFO: Test: [0/15] Prec@1 98.047 (98.047) Prec@5 99.609 (99.609)
[04/25 06:35:46] BIKE INFO: Test: [10/15] Prec@1 97.656 (97.159) Prec@5 100.000 (99.716)
[04/25 06:36:18] BIKE INFO: Testing Results: Prec@1 97.648 Prec@5 99.762
[04/25 06:36:18] BIKE INFO: Testing: 97.64799154334038/97.64799154334038
[04/25 06:36:18] BIKE INFO: Saving:
[04/25 06:38:01] BIKE INFO: Epoch: [5][0/37], lr: 5.00e-05, eta: 3:00:49 Time 19.514 (19.514) Data 8.589 (8.589) Loss 0.1530 (0.1530)
[04/25 06:39:47] BIKE INFO: Epoch: [5][10/37], lr: 5.00e-05, eta: 1:43:45 Time 10.638 (11.402) Data 0.083 (0.859) Loss 0.1586 (0.1588)
[04/25 06:41:33] BIKE INFO: Epoch: [5][20/37], lr: 4.99e-05, eta: 1:38:32 Time 10.562 (11.031) Data 0.066 (0.491) Loss 0.1968 (0.1610)
[04/25 06:43:19] BIKE INFO: Epoch: [5][30/37], lr: 4.97e-05, eta: 1:35:34 Time 10.558 (10.902) Data 0.062 (0.358) Loss 0.1322 (0.1537)
[04/25 06:44:50] BIKE INFO: Epoch: [6][0/37], lr: 4.95e-05, eta: 3:49:38 Time 26.549 (26.549) Data 9.030 (9.030) Loss 0.1185 (0.1185)
[04/25 06:46:35] BIKE INFO: Epoch: [6][10/37], lr: 4.92e-05, eta: 1:42:06 Time 10.567 (12.037) Data 0.072 (0.893) Loss 0.1330 (0.1234)
[04/25 06:48:22] BIKE INFO: Epoch: [6][20/37], lr: 4.88e-05, eta: 1:34:36 Time 10.664 (11.375) Data 0.116 (0.511) Loss 0.0986 (0.1210)
[04/25 06:50:08] BIKE INFO: Epoch: [6][30/37], lr: 4.83e-05, eta: 1:30:46 Time 10.610 (11.139) Data 0.100 (0.380) Loss 0.0698 (0.1216)
[04/25 06:51:36] BIKE INFO: Epoch: [7][0/37], lr: 4.78e-05, eta: 3:12:16 Time 23.934 (23.934) Data 9.479 (9.479) Loss 0.1470 (0.1470)
[04/25 06:53:22] BIKE INFO: Epoch: [7][10/37], lr: 4.73e-05, eta: 1:32:54 Time 10.570 (11.810) Data 0.038 (0.947) Loss 0.0777 (0.1118)
[04/25 06:55:08] BIKE INFO: Epoch: [7][20/37], lr: 4.66e-05, eta: 1:26:26 Time 10.529 (11.226) Data 0.073 (0.548) Loss 0.1345 (0.1317)
[04/25 06:56:54] BIKE INFO: Epoch: [7][30/37], lr: 4.59e-05, eta: 1:23:02 Time 10.492 (11.023) Data 0.078 (0.400) Loss 0.0715 (0.1221)
[04/25 06:58:22] BIKE INFO: Epoch: [8][0/37], lr: 4.52e-05, eta: 3:04:41 Time 24.902 (24.902) Data 10.112 (10.112) Loss 0.1149 (0.1149)
[04/25 07:00:08] BIKE INFO: Epoch: [8][10/37], lr: 4.45e-05, eta: 1:26:16 Time 10.462 (11.899) Data 0.099 (1.005) Loss 0.1023 (0.1133)
[04/25 07:01:54] BIKE INFO: Epoch: [8][20/37], lr: 4.35e-05, eta: 1:19:55 Time 10.534 (11.283) Data 0.051 (0.569) Loss 0.0634 (0.1181)
[04/25 07:03:40] BIKE INFO: Epoch: [8][30/37], lr: 4.26e-05, eta: 1:16:30 Time 10.613 (11.062) Data 0.074 (0.412) Loss 0.1292 (0.1130)
[04/25 07:05:10] BIKE INFO: Epoch: [9][0/37], lr: 4.17e-05, eta: 2:56:39 Time 25.980 (25.980) Data 9.421 (9.421) Loss 0.1553 (0.1553)
[04/25 07:06:55] BIKE INFO: Epoch: [9][10/37], lr: 4.08e-05, eta: 1:19:22 Time 10.539 (11.967) Data 0.066 (0.913) Loss 0.0649 (0.0995)
[04/25 07:08:41] BIKE INFO: Epoch: [9][20/37], lr: 3.96e-05, eta: 1:13:12 Time 10.631 (11.320) Data 0.059 (0.514) Loss 0.1014 (0.1059)
[04/25 07:10:27] BIKE INFO: Epoch: [9][30/37], lr: 3.85e-05, eta: 1:09:46 Time 10.581 (11.076) Data 0.102 (0.371) Loss 0.1202 (0.1049)
[04/25 07:11:50] BIKE INFO: Test: [0/15] Prec@1 98.438 (98.438) Prec@5 99.219 (99.219)
[04/25 07:13:11] BIKE INFO: Test: [10/15] Prec@1 97.656 (98.118) Prec@5 100.000 (99.822)
[04/25 07:13:42] BIKE INFO: Testing Results: Prec@1 98.441 Prec@5 99.868
[04/25 07:13:42] BIKE INFO: Testing: 98.44080338266384/98.44080338266384
[04/25 07:13:42] BIKE INFO: Saving:
[04/25 07:15:26] BIKE INFO: Epoch: [10][0/37], lr: 3.75e-05, eta: 1:59:52 Time 19.387 (19.387) Data 9.066 (9.066) Loss 0.0466 (0.0466)
[04/25 07:17:12] BIKE INFO: Epoch: [10][10/37], lr: 3.64e-05, eta: 1:08:44 Time 10.591 (11.425) Data 0.151 (0.900) Loss 0.0712 (0.0861)
[04/25 07:18:59] BIKE INFO: Epoch: [10][20/37], lr: 3.51e-05, eta: 1:04:36 Time 10.583 (11.045) Data 0.082 (0.513) Loss 0.1176 (0.0918)
[04/25 07:20:45] BIKE INFO: Epoch: [10][30/37], lr: 3.38e-05, eta: 1:02:01 Time 10.675 (10.913) Data 0.061 (0.377) Loss 0.0920 (0.0976)
[04/25 07:22:12] BIKE INFO: Epoch: [11][0/37], lr: 3.27e-05, eta: 2:09:33 Time 23.275 (23.275) Data 10.383 (10.383) Loss 0.1032 (0.1032)
[04/25 07:23:58] BIKE INFO: Epoch: [11][10/37], lr: 3.15e-05, eta: 1:03:24 Time 10.618 (11.743) Data 0.069 (1.017) Loss 0.0604 (0.0850)
[04/25 07:25:44] BIKE INFO: Epoch: [11][20/37], lr: 3.01e-05, eta: 0:58:34 Time 10.610 (11.194) Data 0.065 (0.572) Loss 0.0835 (0.0812)
[04/25 07:27:30] BIKE INFO: Epoch: [11][30/37], lr: 2.87e-05, eta: 0:55:43 Time 10.598 (10.998) Data 0.070 (0.414) Loss 0.0998 (0.0864)
[04/25 07:28:59] BIKE INFO: Epoch: [12][0/37], lr: 2.76e-05, eta: 2:07:12 Time 25.698 (25.698) Data 11.063 (11.063) Loss 0.1221 (0.1221)
[04/25 07:30:45] BIKE INFO: Epoch: [12][10/37], lr: 2.63e-05, eta: 0:57:13 Time 10.560 (11.964) Data 0.060 (1.073) Loss 0.0639 (0.0836)
[04/25 07:32:31] BIKE INFO: Epoch: [12][20/37], lr: 2.49e-05, eta: 0:52:16 Time 10.883 (11.323) Data 0.074 (0.597) Loss 0.0769 (0.0834)
[04/25 07:34:17] BIKE INFO: Epoch: [12][30/37], lr: 2.35e-05, eta: 0:49:18 Time 10.500 (11.079) Data 0.088 (0.433) Loss 0.1278 (0.0815)
[04/25 07:35:46] BIKE INFO: Epoch: [13][0/37], lr: 2.24e-05, eta: 1:52:28 Time 25.956 (25.956) Data 9.691 (9.691) Loss 0.0683 (0.0683)
[04/25 07:37:32] BIKE INFO: Epoch: [13][10/37], lr: 2.11e-05, eta: 0:49:56 Time 10.616 (11.986) Data 0.078 (0.965) Loss 0.0885 (0.0823)
[04/25 07:39:18] BIKE INFO: Epoch: [13][20/37], lr: 1.97e-05, eta: 0:45:19 Time 10.645 (11.333) Data 0.096 (0.550) Loss 0.1101 (0.0822)
[04/25 07:41:04] BIKE INFO: Epoch: [13][30/37], lr: 1.84e-05, eta: 0:42:31 Time 10.615 (11.093) Data 0.080 (0.399) Loss 0.0555 (0.0771)
[04/25 07:42:32] BIKE INFO: Epoch: [14][0/37], lr: 1.73e-05, eta: 1:29:32 Time 24.092 (24.092) Data 9.312 (9.312) Loss 0.1234 (0.1234)
[04/25 07:44:18] BIKE INFO: Epoch: [14][10/37], lr: 1.61e-05, eta: 0:41:56 Time 10.633 (11.814) Data 0.089 (0.923) Loss 0.0450 (0.0892)
[04/25 07:46:03] BIKE INFO: Epoch: [14][20/37], lr: 1.48e-05, eta: 0:37:59 Time 10.525 (11.228) Data 0.084 (0.525) Loss 0.0672 (0.0863)
[04/25 07:47:49] BIKE INFO: Epoch: [14][30/37], lr: 1.35e-05, eta: 0:35:25 Time 10.444 (11.011) Data 0.076 (0.382) Loss 0.0335 (0.0834)
[04/25 07:49:14] BIKE INFO: Test: [0/15] Prec@1 98.828 (98.828) Prec@5 99.609 (99.609)
[04/25 07:50:35] BIKE INFO: Test: [10/15] Prec@1 97.656 (98.438) Prec@5 100.000 (99.858)
[04/25 07:51:06] BIKE INFO: Testing Results: Prec@1 98.732 Prec@5 99.868
[04/25 07:51:06] BIKE INFO: Testing: 98.73150105708245/98.73150105708245
[04/25 07:51:06] BIKE INFO: Saving:
[04/25 07:52:43] BIKE INFO: Epoch: [15][0/37], lr: 1.25e-05, eta: 0:57:59 Time 18.705 (18.705) Data 8.280 (8.280) Loss 0.0630 (0.0630)
[04/25 07:54:28] BIKE INFO: Epoch: [15][10/37], lr: 1.14e-05, eta: 0:33:07 Time 10.571 (11.295) Data 0.088 (0.834) Loss 0.0648 (0.0716)
[04/25 07:56:14] BIKE INFO: Epoch: [15][20/37], lr: 1.02e-05, eta: 0:30:19 Time 10.542 (10.961) Data 0.056 (0.476) Loss 0.0626 (0.0699)
[04/25 07:58:00] BIKE INFO: Epoch: [15][30/37], lr: 9.13e-06, eta: 0:28:11 Time 10.589 (10.843) Data 0.092 (0.345) Loss 0.0616 (0.0704)
[04/25 07:59:30] BIKE INFO: Epoch: [16][0/37], lr: 8.27e-06, eta: 1:03:43 Time 25.659 (25.659) Data 9.513 (9.513) Loss 0.1079 (0.1079)
[04/25 08:01:15] BIKE INFO: Epoch: [16][10/37], lr: 7.35e-06, eta: 0:27:41 Time 10.569 (11.951) Data 0.078 (0.925) Loss 0.0754 (0.0772)
[04/25 08:03:02] BIKE INFO: Epoch: [16][20/37], lr: 6.37e-06, eta: 0:24:22 Time 10.760 (11.338) Data 0.112 (0.526) Loss 0.0478 (0.0731)
[04/25 08:04:48] BIKE INFO: Epoch: [16][30/37], lr: 5.46e-06, eta: 0:22:00 Time 10.499 (11.098) Data 0.099 (0.383) Loss 0.0770 (0.0706)
[04/25 08:06:16] BIKE INFO: Epoch: [17][0/37], lr: 4.77e-06, eta: 0:44:01 Time 23.588 (23.588) Data 12.410 (12.410) Loss 0.0581 (0.0581)
[04/25 08:08:02] BIKE INFO: Epoch: [17][10/37], lr: 4.05e-06, eta: 0:20:02 Time 10.673 (11.793) Data 0.049 (1.196) Loss 0.0789 (0.0636)
[04/25 08:09:48] BIKE INFO: Epoch: [17][20/37], lr: 3.31e-06, eta: 0:17:12 Time 10.581 (11.225) Data 0.072 (0.664) Loss 0.0683 (0.0646)
[04/25 08:11:34] BIKE INFO: Epoch: [17][30/37], lr: 2.65e-06, eta: 0:15:04 Time 10.501 (11.031) Data 0.062 (0.478) Loss 0.0401 (0.0644)
[04/25 08:13:00] BIKE INFO: Epoch: [18][0/37], lr: 2.16e-06, eta: 0:27:57 Time 22.360 (22.360) Data 11.015 (11.015) Loss 0.0351 (0.0351)
[04/25 08:14:46] BIKE INFO: Epoch: [18][10/37], lr: 1.67e-06, eta: 0:12:37 Time 10.594 (11.660) Data 0.064 (1.077) Loss 0.0664 (0.0550)
[04/25 08:16:32] BIKE INFO: Epoch: [18][20/37], lr: 1.20e-06, eta: 0:10:13 Time 10.554 (11.149) Data 0.071 (0.606) Loss 0.0630 (0.0626)
[04/25 08:18:18] BIKE INFO: Epoch: [18][30/37], lr: 8.07e-07, eta: 0:08:13 Time 10.546 (10.971) Data 0.092 (0.436) Loss 0.0560 (0.0639)
[04/25 08:19:45] BIKE INFO: Epoch: [19][0/37], lr: 5.46e-07, eta: 0:14:50 Time 23.427 (23.427) Data 10.679 (10.679) Loss 0.0407 (0.0407)
[04/25 08:21:31] BIKE INFO: Epoch: [19][10/37], lr: 3.13e-07, eta: 0:05:29 Time 10.658 (11.783) Data 0.112 (1.045) Loss 0.0438 (0.0610)
[04/25 08:23:17] BIKE INFO: Epoch: [19][20/37], lr: 1.30e-07, eta: 0:03:22 Time 10.591 (11.227) Data 0.053 (0.585) Loss 0.0553 (0.0621)
[04/25 08:25:03] BIKE INFO: Epoch: [19][30/37], lr: 2.56e-08, eta: 0:01:28 Time 10.439 (11.020) Data 0.052 (0.420) Loss 0.0779 (0.0659)
[04/25 08:26:34] BIKE INFO: Test: [0/15] Prec@1 98.828 (98.828) Prec@5 99.609 (99.609)
[04/25 08:27:55] BIKE INFO: Test: [10/15] Prec@1 97.656 (98.473) Prec@5 100.000 (99.822)
[04/25 08:28:26] BIKE INFO: Testing Results: Prec@1 98.705 Prec@5 99.868
[04/25 08:28:26] BIKE INFO: Testing: 98.70507399577167/98.73150105708245
[04/25 08:28:26] BIKE INFO: Saving: