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log.txt
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[04/24 20:53:57] BIKE INFO: ------------------------------------
[04/24 20:53:57] BIKE INFO: Environment Versions:
[04/24 20:53:57] BIKE INFO: - Python: 3.7.6 (default, Jan 8 2020, 19:59:22)
[GCC 7.3.0]
[04/24 20:53:57] BIKE INFO: - PyTorch: 1.12.1+cu102
[04/24 20:53:57] BIKE INFO: - TorchVison: 0.13.1+cu102
[04/24 20:53:57] BIKE INFO: ------------------------------------
[04/24 20:53:57] BIKE INFO: { 'data': { 'batch_size': 8,
'dataset': 'hmdb51',
'image_tmpl': 'image_{:06d}.jpg',
'input_size': 336,
'label_list': 'lists/hmdb51/hmdb51_labels.csv',
'modality': 'RGB',
'num_classes': 51,
'num_segments': 16,
'output_path': 'exps',
'random_shift': True,
'seg_length': 1,
'train_list': 'lists/hmdb51/train_rgb_split_1.txt',
'train_root': '/bpfs/v2_mnt/VIS/wuwenhao/hmdb51_rgb_img_256_340',
'val_list': 'lists/hmdb51/val_rgb_split_1.txt',
'val_root': '/bpfs/v2_mnt/VIS/wuwenhao/hmdb51_rgb_img_256_340',
'workers': 4},
'logging': {'eval_freq': 5, 'print_freq': 10},
'network': { 'arch': 'ViT-L/14-336px',
'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/14-336px/16f/k400-vit-l-14-336-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}}
[04/24 20:53:57] BIKE INFO: ------------------------------------
[04/24 20:53:57] BIKE INFO: storing name: exps/hmdb51/ViT-L/14-336px/001
[04/24 20:54:08] BIKE INFO: train transforms: [Compose(
<datasets.transforms.GroupScale object at 0x7fb4eeecf350>
Compose(
<datasets.transforms.GroupRandomSizedCrop object at 0x7fb4eeecf2d0>
<datasets.transforms.GroupRandomHorizontalFlip object at 0x7fb4eeecfcd0>
)
<datasets.transforms.GroupRandomGrayscale object at 0x7fb4eee62290>
), Compose(
<datasets.transforms.Stack object at 0x7fb4eeecf450>
<datasets.transforms.ToTorchFormatTensor object at 0x7fb4eeecf090>
<datasets.transforms.GroupNormalize object at 0x7fb4eeecf690>
)]
[04/24 20:54:08] BIKE INFO: val transforms: [Compose(
<datasets.transforms.GroupScale object at 0x7fb4eee5dd50>
<datasets.transforms.GroupCenterCrop object at 0x7fb4eee5d650>
), Compose(
<datasets.transforms.Stack object at 0x7fb4eee5d810>
<datasets.transforms.ToTorchFormatTensor object at 0x7fb4eee5d950>
<datasets.transforms.GroupNormalize object at 0x7fb4eee5d690>
)]
[04/24 20:54:09] BIKE INFO: => loading checkpoint 'exps/k400/ViT-L/14-336px/16f/k400-vit-l-14-336-f16.pt'
[04/24 20:54:34] BIKE INFO: Epoch: [0][0/14], lr: 0.00e+00, eta: 1:24:30 Time 18.043 (18.043) Data 4.436 (4.436) Loss 2.4315 (2.4315)
[04/24 20:55:54] BIKE INFO: Epoch: [0][10/14], lr: 6.43e-06, eta: 0:40:11 Time 7.923 (8.899) Data 0.044 (0.446) Loss 2.4638 (2.3730)
[04/24 20:56:32] BIKE INFO: Epoch: [1][0/14], lr: 1.00e-05, eta: 1:04:09 Time 14.416 (14.416) Data 3.538 (3.538) Loss 2.0572 (2.0572)
[04/24 20:57:58] BIKE INFO: Epoch: [1][10/14], lr: 1.64e-05, eta: 0:38:46 Time 8.544 (9.052) Data 0.043 (0.360) Loss 1.3584 (1.6674)
[04/24 20:58:38] BIKE INFO: Epoch: [2][0/14], lr: 2.00e-05, eta: 0:57:28 Time 13.632 (13.632) Data 3.806 (3.806) Loss 1.2322 (1.2322)
[04/24 21:00:07] BIKE INFO: Epoch: [2][10/14], lr: 2.64e-05, eta: 0:37:54 Time 9.057 (9.361) Data 0.041 (0.393) Loss 1.0168 (1.0785)
[04/24 21:00:48] BIKE INFO: Epoch: [3][0/14], lr: 3.00e-05, eta: 0:56:07 Time 14.090 (14.090) Data 4.506 (4.506) Loss 0.7971 (0.7971)
[04/24 21:02:19] BIKE INFO: Epoch: [3][10/14], lr: 3.64e-05, eta: 0:36:38 Time 9.315 (9.600) Data 0.076 (0.448) Loss 0.7639 (0.7984)
[04/24 21:03:03] BIKE INFO: Epoch: [4][0/14], lr: 4.00e-05, eta: 0:55:24 Time 14.775 (14.775) Data 3.956 (3.956) Loss 0.6141 (0.6141)
[04/24 21:04:34] BIKE INFO: Epoch: [4][10/14], lr: 4.64e-05, eta: 0:34:29 Time 8.974 (9.626) Data 0.039 (0.407) Loss 0.7190 (0.6468)
[04/24 21:05:12] BIKE INFO: Test: [0/6] Prec@1 90.234 (90.234) Prec@5 99.609 (99.609)
[04/24 21:05:41] BIKE INFO: Testing Results: Prec@1 82.617 Prec@5 97.266
[04/24 21:05:41] BIKE INFO: Testing: 82.6171875/82.6171875
[04/24 21:05:41] BIKE INFO: Saving:
[04/24 21:06:58] BIKE INFO: Epoch: [5][0/14], lr: 5.00e-05, eta: 0:36:18 Time 10.322 (10.322) Data 2.568 (2.568) Loss 0.5550 (0.5550)
[04/24 21:08:20] BIKE INFO: Epoch: [5][10/14], lr: 4.98e-05, eta: 0:28:07 Time 8.744 (8.397) Data 0.048 (0.280) Loss 0.5672 (0.5474)
[04/24 21:09:01] BIKE INFO: Epoch: [6][0/14], lr: 4.95e-05, eta: 0:45:55 Time 13.987 (13.987) Data 4.448 (4.448) Loss 0.4067 (0.4067)
[04/24 21:10:30] BIKE INFO: Epoch: [6][10/14], lr: 4.85e-05, eta: 0:29:08 Time 8.924 (9.352) Data 0.037 (0.448) Loss 0.5153 (0.4648)
[04/24 21:11:11] BIKE INFO: Epoch: [7][0/14], lr: 4.78e-05, eta: 0:41:49 Time 13.713 (13.713) Data 5.319 (5.319) Loss 0.4165 (0.4165)
[04/24 21:12:40] BIKE INFO: Epoch: [7][10/14], lr: 4.63e-05, eta: 0:27:07 Time 9.254 (9.408) Data 0.033 (0.522) Loss 0.4293 (0.4041)
[04/24 21:13:22] BIKE INFO: Epoch: [8][0/14], lr: 4.52e-05, eta: 0:40:15 Time 14.290 (14.290) Data 4.743 (4.743) Loss 0.4330 (0.4330)
[04/24 21:14:52] BIKE INFO: Epoch: [8][10/14], lr: 4.31e-05, eta: 0:25:05 Time 8.762 (9.472) Data 0.047 (0.476) Loss 0.3876 (0.3856)
[04/24 21:15:34] BIKE INFO: Epoch: [9][0/14], lr: 4.17e-05, eta: 0:37:40 Time 14.582 (14.582) Data 4.029 (4.029) Loss 0.2964 (0.2964)
[04/24 21:17:06] BIKE INFO: Epoch: [9][10/14], lr: 3.91e-05, eta: 0:23:20 Time 9.454 (9.658) Data 0.061 (0.416) Loss 0.3423 (0.3490)
[04/24 21:17:44] BIKE INFO: Test: [0/6] Prec@1 89.453 (89.453) Prec@5 99.609 (99.609)
[04/24 21:18:13] BIKE INFO: Testing Results: Prec@1 84.245 Prec@5 97.786
[04/24 21:18:13] BIKE INFO: Testing: 84.24479166666667/84.24479166666667
[04/24 21:18:13] BIKE INFO: Saving:
[04/24 21:19:35] BIKE INFO: Epoch: [10][0/14], lr: 3.75e-05, eta: 0:24:10 Time 10.288 (10.288) Data 2.564 (2.564) Loss 0.3303 (0.3303)
[04/24 21:20:57] BIKE INFO: Epoch: [10][10/14], lr: 3.45e-05, eta: 0:18:18 Time 8.787 (8.382) Data 0.050 (0.273) Loss 0.3251 (0.3253)
[04/24 21:21:37] BIKE INFO: Epoch: [11][0/14], lr: 3.27e-05, eta: 0:28:29 Time 13.461 (13.461) Data 4.215 (4.215) Loss 0.2533 (0.2533)
[04/24 21:23:07] BIKE INFO: Epoch: [11][10/14], lr: 2.95e-05, eta: 0:18:17 Time 9.157 (9.377) Data 0.033 (0.420) Loss 0.2632 (0.2775)
[04/24 21:23:49] BIKE INFO: Epoch: [12][0/14], lr: 2.76e-05, eta: 0:27:31 Time 14.618 (14.618) Data 3.853 (3.853) Loss 0.2566 (0.2566)
[04/24 21:25:20] BIKE INFO: Epoch: [12][10/14], lr: 2.43e-05, eta: 0:16:21 Time 8.991 (9.527) Data 0.058 (0.389) Loss 0.2397 (0.2958)
[04/24 21:26:01] BIKE INFO: Epoch: [13][0/14], lr: 2.24e-05, eta: 0:23:20 Time 14.142 (14.142) Data 3.782 (3.782) Loss 0.2779 (0.2779)
[04/24 21:27:31] BIKE INFO: Epoch: [13][10/14], lr: 1.91e-05, eta: 0:14:03 Time 9.515 (9.475) Data 0.052 (0.391) Loss 0.2798 (0.2883)
[04/24 21:28:13] BIKE INFO: Epoch: [14][0/14], lr: 1.73e-05, eta: 0:20:16 Time 14.307 (14.307) Data 4.308 (4.308) Loss 0.3955 (0.3955)
[04/24 21:29:46] BIKE INFO: Epoch: [14][10/14], lr: 1.42e-05, eta: 0:12:07 Time 8.966 (9.698) Data 0.062 (0.440) Loss 0.2333 (0.2727)
[04/24 21:30:23] BIKE INFO: Test: [0/6] Prec@1 89.453 (89.453) Prec@5 100.000 (100.000)
[04/24 21:30:51] BIKE INFO: Testing Results: Prec@1 84.375 Prec@5 97.721
[04/24 21:30:51] BIKE INFO: Testing: 84.375/84.375
[04/24 21:30:51] BIKE INFO: Saving:
[04/24 21:32:12] BIKE INFO: Epoch: [15][0/14], lr: 1.25e-05, eta: 0:11:57 Time 10.101 (10.101) Data 2.401 (2.401) Loss 0.3035 (0.3035)
[04/24 21:33:34] BIKE INFO: Epoch: [15][10/14], lr: 9.71e-06, eta: 0:08:29 Time 8.668 (8.358) Data 0.051 (0.263) Loss 0.2351 (0.2835)
[04/24 21:34:15] BIKE INFO: Epoch: [16][0/14], lr: 8.27e-06, eta: 0:13:31 Time 14.235 (14.235) Data 4.972 (4.972) Loss 0.2809 (0.2809)
[04/24 21:35:45] BIKE INFO: Epoch: [16][10/14], lr: 5.93e-06, eta: 0:07:25 Time 8.740 (9.470) Data 0.039 (0.492) Loss 0.1992 (0.2365)
[04/24 21:36:26] BIKE INFO: Epoch: [17][0/14], lr: 4.77e-06, eta: 0:09:58 Time 13.920 (13.920) Data 3.684 (3.684) Loss 0.2356 (0.2356)
[04/24 21:37:56] BIKE INFO: Epoch: [17][10/14], lr: 2.99e-06, eta: 0:05:10 Time 9.036 (9.410) Data 0.041 (0.379) Loss 0.2822 (0.2480)
[04/24 21:38:37] BIKE INFO: Epoch: [18][0/14], lr: 2.16e-06, eta: 0:06:45 Time 13.990 (13.990) Data 4.267 (4.267) Loss 0.2353 (0.2353)
[04/24 21:40:09] BIKE INFO: Epoch: [18][10/14], lr: 1.00e-06, eta: 0:03:02 Time 9.194 (9.582) Data 0.033 (0.423) Loss 0.2153 (0.2344)
[04/24 21:40:49] BIKE INFO: Epoch: [19][0/14], lr: 5.46e-07, eta: 0:03:22 Time 13.499 (13.499) Data 4.438 (4.438) Loss 0.2061 (0.2061)
[04/24 21:42:19] BIKE INFO: Epoch: [19][10/14], lr: 6.99e-08, eta: 0:00:47 Time 9.218 (9.417) Data 0.048 (0.448) Loss 0.2119 (0.2184)
[04/24 21:42:56] BIKE INFO: Test: [0/6] Prec@1 87.891 (87.891) Prec@5 100.000 (100.000)
[04/24 21:43:25] BIKE INFO: Testing Results: Prec@1 83.073 Prec@5 97.591
[04/24 21:43:25] BIKE INFO: Testing: 83.07291666666667/84.375
[04/24 21:43:25] BIKE INFO: Saving: