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log.txt
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[08/16 09:14:03] VideoClip INFO: ------------------------------------
[08/16 09:14:03] VideoClip INFO: Environment Versions:
[08/16 09:14:03] VideoClip INFO: - Python: 3.7.6 (default, Jan 8 2020, 19:59:22)
[GCC 7.3.0]
[08/16 09:14:03] VideoClip INFO: - PyTorch: 1.8.1+cu111
[08/16 09:14:03] VideoClip INFO: - TorchVison: 0.9.1+cu111
[08/16 09:14:03] VideoClip INFO: ------------------------------------
[08/16 09:14:03] VideoClip INFO: { 'data': { 'batch_size': 1,
'dataset': 'anet',
'image_tmpl': 'image_{:06d}.jpg',
'input_size': 336,
'label_list': 'lists/anet1.3_labels.csv',
'modality': 'RGB',
'num_classes': 200,
'num_segments': 16,
'random_shift': True,
'seg_length': 1,
'train_list': 'lists/anet/anet_train_instance_fps1.txt',
'train_root': '/bpfs/v2_mnt/VIS/wuwenhao/anet/anet_instance_frames_v1.3_train_vids_fps1',
'val_list': 'lists/anet/anet_val_video_fps1.txt',
'val_root': '/bpfs/v2_mnt/VIS/wuwenhao/anet/activitynet_val_resize_img_256_340_fps1',
'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,
'init': True,
'n_emb': 768,
'sim_header': 'Transf',
'type': 'clip_anet'},
'pretrain': 'exp_sota/kinetics400/ViT-L/14-336px/f16/last_model.pt',
'resume': None,
'seed': 1024,
'solver': { 'clip_ratio': 0.1,
'epochs': 30,
'evaluate': False,
'grad_accumulation_steps': 8,
'loss_type': 'CE',
'lr': 5e-05,
'lr_warmup_step': 5,
'momentum': 0.9,
'optim': 'adamw',
'start_epoch': 0,
'type': 'cosine',
'weight_decay': 0.2}}
[08/16 09:14:03] VideoClip INFO: ------------------------------------
[08/16 09:14:03] VideoClip INFO: storing name: ./exp_revision/anet/ViT-L/14-336px/001
[08/16 09:14:14] VideoClip INFO: train transforms: [Compose(
<datasets.transforms_ss.GroupScale object at 0x7ff9d1352f10>
Compose(
<datasets.transforms_ss.GroupRandomSizedCrop object at 0x7ff9d1352e50>
<datasets.transforms_ss.GroupRandomHorizontalFlip object at 0x7ff9d1352c90>
)
<datasets.transforms_ss.GroupRandomGrayscale object at 0x7ff9d1352c50>
<datasets.transforms_ss.GroupGaussianBlur object at 0x7ff9d3ebb090>
<datasets.transforms_ss.GroupSolarization object at 0x7ffaf38704d0>
), Compose(
<datasets.transforms_ss.Stack object at 0x7ff9d1347f90>
<datasets.transforms_ss.ToTorchFormatTensor object at 0x7ff9d1347910>
<datasets.transforms_ss.GroupNormalize object at 0x7ff9d1352850>
)]
[08/16 09:14:14] VideoClip INFO: val transforms: [Compose(
<datasets.transforms_ss.GroupScale object at 0x7ff9d1347dd0>
<datasets.transforms_ss.GroupCenterCrop object at 0x7ff9d1347ad0>
), Compose(
<datasets.transforms_ss.Stack object at 0x7ff9d1347bd0>
<datasets.transforms_ss.ToTorchFormatTensor object at 0x7ff9d1347c90>
<datasets.transforms_ss.GroupNormalize object at 0x7ff9d1347650>
)]
[08/16 09:14:15] VideoClip INFO: => load classes features from text_feats_anet_ViT-L14-336px.pt
[08/16 09:14:15] VideoClip INFO: => loading checkpoint 'exp_sota/kinetics400/ViT-L/14-336px/f16/last_model.pt'
[08/16 09:14:33] VideoClip INFO: Epoch: [0][0/400], lr: 0.00e+00, eta: 1 day, 13:37:08 Time 11.285 (11.285) Data 5.519 (5.519) Loss 0.0138 (0.0138)
[08/16 09:14:41] VideoClip INFO: Epoch: [0][10/400], lr: 2.25e-07, eta: 5:57:54 Time 0.617 (1.791) Data 0.006 (0.510) Loss 0.5544 (0.1178)
[08/16 09:14:47] VideoClip INFO: Epoch: [0][20/400], lr: 4.75e-07, eta: 4:05:58 Time 0.622 (1.232) Data 0.006 (0.270) Loss 0.0047 (0.0961)
[08/16 09:14:53] VideoClip INFO: Epoch: [0][30/400], lr: 7.25e-07, eta: 3:26:31 Time 0.621 (1.035) Data 0.007 (0.186) Loss 0.0000 (0.0857)
[08/16 09:15:00] VideoClip INFO: Epoch: [0][40/400], lr: 9.75e-07, eta: 3:06:41 Time 0.678 (0.936) Data 0.007 (0.142) Loss 0.0000 (0.0921)
[08/16 09:15:06] VideoClip INFO: Epoch: [0][50/400], lr: 1.23e-06, eta: 2:54:03 Time 0.618 (0.874) Data 0.008 (0.116) Loss 0.0006 (0.1025)
[08/16 09:15:12] VideoClip INFO: Epoch: [0][60/400], lr: 1.48e-06, eta: 2:45:37 Time 0.630 (0.832) Data 0.006 (0.098) Loss 0.0557 (0.0989)
[08/16 09:15:18] VideoClip INFO: Epoch: [0][70/400], lr: 1.72e-06, eta: 2:39:33 Time 0.613 (0.802) Data 0.009 (0.085) Loss 0.0657 (0.0950)
[08/16 09:15:25] VideoClip INFO: Epoch: [0][80/400], lr: 1.98e-06, eta: 2:35:06 Time 0.636 (0.781) Data 0.005 (0.076) Loss 0.2458 (0.1121)
[08/16 09:15:31] VideoClip INFO: Epoch: [0][90/400], lr: 2.22e-06, eta: 2:31:25 Time 0.614 (0.763) Data 0.008 (0.068) Loss 0.5795 (0.1189)
[08/16 09:15:37] VideoClip INFO: Epoch: [0][100/400], lr: 2.48e-06, eta: 2:28:31 Time 0.615 (0.749) Data 0.007 (0.062) Loss 0.0389 (0.1180)
[08/16 09:15:43] VideoClip INFO: Epoch: [0][110/400], lr: 2.73e-06, eta: 2:26:03 Time 0.617 (0.737) Data 0.007 (0.057) Loss 0.0001 (0.1228)
[08/16 09:15:49] VideoClip INFO: Epoch: [0][120/400], lr: 2.97e-06, eta: 2:24:04 Time 0.629 (0.728) Data 0.006 (0.053) Loss 0.0005 (0.1210)
[08/16 09:15:56] VideoClip INFO: Epoch: [0][130/400], lr: 3.23e-06, eta: 2:22:21 Time 0.617 (0.720) Data 0.008 (0.050) Loss 0.0338 (0.1152)
[08/16 09:16:02] VideoClip INFO: Epoch: [0][140/400], lr: 3.47e-06, eta: 2:20:50 Time 0.611 (0.712) Data 0.007 (0.047) Loss 0.1003 (0.1147)
[08/16 09:16:08] VideoClip INFO: Epoch: [0][150/400], lr: 3.72e-06, eta: 2:19:31 Time 0.618 (0.706) Data 0.009 (0.044) Loss 0.0001 (0.1102)
[08/16 09:16:14] VideoClip INFO: Epoch: [0][160/400], lr: 3.98e-06, eta: 2:18:28 Time 0.633 (0.702) Data 0.005 (0.042) Loss 0.1916 (0.1145)
[08/16 09:16:20] VideoClip INFO: Epoch: [0][170/400], lr: 4.23e-06, eta: 2:17:23 Time 0.620 (0.697) Data 0.008 (0.040) Loss 0.0000 (0.1142)
[08/16 09:16:27] VideoClip INFO: Epoch: [0][180/400], lr: 4.48e-06, eta: 2:16:31 Time 0.624 (0.693) Data 0.007 (0.038) Loss 0.0046 (0.1081)
[08/16 09:16:33] VideoClip INFO: Epoch: [0][190/400], lr: 4.73e-06, eta: 2:15:41 Time 0.616 (0.689) Data 0.011 (0.036) Loss 0.0152 (0.1098)
[08/16 09:16:39] VideoClip INFO: Epoch: [0][200/400], lr: 4.98e-06, eta: 2:14:57 Time 0.621 (0.686) Data 0.006 (0.035) Loss 0.0087 (0.1081)
[08/16 09:16:45] VideoClip INFO: Epoch: [0][210/400], lr: 5.22e-06, eta: 2:14:13 Time 0.616 (0.683) Data 0.008 (0.034) Loss 0.5742 (0.1089)
[08/16 09:16:52] VideoClip INFO: Epoch: [0][220/400], lr: 5.48e-06, eta: 2:13:34 Time 0.614 (0.680) Data 0.007 (0.033) Loss 0.0000 (0.1114)
[08/16 09:16:58] VideoClip INFO: Epoch: [0][230/400], lr: 5.73e-06, eta: 2:12:55 Time 0.618 (0.678) Data 0.008 (0.031) Loss 0.0000 (0.1148)
[08/16 09:17:04] VideoClip INFO: Epoch: [0][240/400], lr: 5.98e-06, eta: 2:12:24 Time 0.646 (0.676) Data 0.011 (0.030) Loss 0.0003 (0.1122)
[08/16 09:17:10] VideoClip INFO: Epoch: [0][250/400], lr: 6.23e-06, eta: 2:11:52 Time 0.617 (0.673) Data 0.008 (0.030) Loss 0.0007 (0.1080)
[08/16 09:17:16] VideoClip INFO: Epoch: [0][260/400], lr: 6.48e-06, eta: 2:11:22 Time 0.622 (0.671) Data 0.006 (0.029) Loss 0.0073 (0.1044)
[08/16 09:17:23] VideoClip INFO: Epoch: [0][270/400], lr: 6.73e-06, eta: 2:10:53 Time 0.619 (0.669) Data 0.007 (0.028) Loss 1.0036 (0.1068)
[08/16 09:17:29] VideoClip INFO: Epoch: [0][280/400], lr: 6.98e-06, eta: 2:10:26 Time 0.623 (0.668) Data 0.006 (0.027) Loss 0.0072 (0.1063)
[08/16 09:17:35] VideoClip INFO: Epoch: [0][290/400], lr: 7.23e-06, eta: 2:09:59 Time 0.614 (0.666) Data 0.008 (0.027) Loss 0.0013 (0.1039)
[08/16 09:17:41] VideoClip INFO: Epoch: [0][300/400], lr: 7.48e-06, eta: 2:09:34 Time 0.617 (0.664) Data 0.007 (0.026) Loss 0.1213 (0.1035)
[08/16 09:17:47] VideoClip INFO: Epoch: [0][310/400], lr: 7.72e-06, eta: 2:09:10 Time 0.611 (0.663) Data 0.007 (0.025) Loss 0.0005 (0.1008)
[08/16 09:17:54] VideoClip INFO: Epoch: [0][320/400], lr: 7.98e-06, eta: 2:08:50 Time 0.609 (0.662) Data 0.005 (0.025) Loss 0.0001 (0.1038)
[08/16 09:18:00] VideoClip INFO: Epoch: [0][330/400], lr: 8.23e-06, eta: 2:08:27 Time 0.615 (0.660) Data 0.008 (0.024) Loss 0.0000 (0.1029)
[08/16 09:18:06] VideoClip INFO: Epoch: [0][340/400], lr: 8.48e-06, eta: 2:08:07 Time 0.611 (0.659) Data 0.009 (0.024) Loss 0.0390 (0.1006)
[08/16 09:18:12] VideoClip INFO: Epoch: [0][350/400], lr: 8.73e-06, eta: 2:07:48 Time 0.610 (0.658) Data 0.007 (0.023) Loss 0.0165 (0.0992)
[08/16 09:18:19] VideoClip INFO: Epoch: [0][360/400], lr: 8.97e-06, eta: 2:07:30 Time 0.600 (0.657) Data 0.006 (0.023) Loss 0.3618 (0.0986)
[08/16 09:18:25] VideoClip INFO: Epoch: [0][370/400], lr: 9.23e-06, eta: 2:07:11 Time 0.620 (0.656) Data 0.008 (0.022) Loss 0.0492 (0.0972)
[08/16 09:18:31] VideoClip INFO: Epoch: [0][380/400], lr: 9.47e-06, eta: 2:06:53 Time 0.618 (0.655) Data 0.006 (0.022) Loss 0.0071 (0.0973)
[08/16 09:18:37] VideoClip INFO: Epoch: [0][390/400], lr: 9.73e-06, eta: 2:06:37 Time 0.615 (0.654) Data 0.012 (0.022) Loss 0.0223 (0.0972)
[08/16 09:18:49] VideoClip INFO: Epoch: [1][0/400], lr: 1.00e-05, eta: 18:37:31 Time 5.780 (5.780) Data 2.790 (2.790) Loss 0.0477 (0.0477)
[08/16 09:18:55] VideoClip INFO: Epoch: [1][10/400], lr: 1.02e-05, eta: 3:30:55 Time 0.617 (1.092) Data 0.008 (0.261) Loss 0.0109 (0.0430)
[08/16 09:19:02] VideoClip INFO: Epoch: [1][20/400], lr: 1.05e-05, eta: 2:47:41 Time 0.618 (0.869) Data 0.008 (0.141) Loss 0.0106 (0.0402)
[08/16 09:19:08] VideoClip INFO: Epoch: [1][30/400], lr: 1.07e-05, eta: 2:32:06 Time 0.613 (0.789) Data 0.007 (0.098) Loss 0.2814 (0.0446)
[08/16 09:19:14] VideoClip INFO: Epoch: [1][40/400], lr: 1.10e-05, eta: 2:24:26 Time 0.634 (0.750) Data 0.007 (0.076) Loss 0.0053 (0.0401)
[08/16 09:19:20] VideoClip INFO: Epoch: [1][50/400], lr: 1.12e-05, eta: 2:19:21 Time 0.616 (0.724) Data 0.007 (0.062) Loss 0.0007 (0.0379)
[08/16 09:19:27] VideoClip INFO: Epoch: [1][60/400], lr: 1.15e-05, eta: 2:15:57 Time 0.613 (0.707) Data 0.008 (0.053) Loss 0.0001 (0.0322)
[08/16 09:19:33] VideoClip INFO: Epoch: [1][70/400], lr: 1.17e-05, eta: 2:13:35 Time 0.631 (0.695) Data 0.007 (0.047) Loss 0.0002 (0.0344)
[08/16 09:19:39] VideoClip INFO: Epoch: [1][80/400], lr: 1.20e-05, eta: 2:11:50 Time 0.614 (0.687) Data 0.006 (0.042) Loss 0.0005 (0.0407)
[08/16 09:19:45] VideoClip INFO: Epoch: [1][90/400], lr: 1.22e-05, eta: 2:10:25 Time 0.615 (0.680) Data 0.008 (0.038) Loss 0.0006 (0.0430)
[08/16 09:19:52] VideoClip INFO: Epoch: [1][100/400], lr: 1.25e-05, eta: 2:09:14 Time 0.614 (0.674) Data 0.007 (0.035) Loss 0.0013 (0.0421)
[08/16 09:19:58] VideoClip INFO: Epoch: [1][110/400], lr: 1.27e-05, eta: 2:08:11 Time 0.615 (0.669) Data 0.007 (0.032) Loss 0.0000 (0.0388)
[08/16 09:20:04] VideoClip INFO: Epoch: [1][120/400], lr: 1.30e-05, eta: 2:07:22 Time 0.633 (0.666) Data 0.007 (0.030) Loss 0.0168 (0.0377)
[08/16 09:20:10] VideoClip INFO: Epoch: [1][130/400], lr: 1.32e-05, eta: 2:06:33 Time 0.609 (0.662) Data 0.007 (0.029) Loss 0.0626 (0.0513)
[08/16 09:20:16] VideoClip INFO: Epoch: [1][140/400], lr: 1.35e-05, eta: 2:05:53 Time 0.618 (0.659) Data 0.010 (0.027) Loss 0.0937 (0.0504)
[08/16 09:20:23] VideoClip INFO: Epoch: [1][150/400], lr: 1.37e-05, eta: 2:05:17 Time 0.607 (0.656) Data 0.007 (0.026) Loss 0.0140 (0.0475)
[08/16 09:20:29] VideoClip INFO: Epoch: [1][160/400], lr: 1.40e-05, eta: 2:04:46 Time 0.637 (0.654) Data 0.005 (0.025) Loss 0.0509 (0.0450)
[08/16 09:20:35] VideoClip INFO: Epoch: [1][170/400], lr: 1.42e-05, eta: 2:04:19 Time 0.611 (0.653) Data 0.008 (0.024) Loss 0.0001 (0.0450)
[08/16 09:20:41] VideoClip INFO: Epoch: [1][180/400], lr: 1.45e-05, eta: 2:03:50 Time 0.614 (0.651) Data 0.006 (0.023) Loss 0.0032 (0.0493)
[08/16 09:20:47] VideoClip INFO: Epoch: [1][190/400], lr: 1.47e-05, eta: 2:03:26 Time 0.626 (0.649) Data 0.005 (0.022) Loss 0.0021 (0.0500)
[08/16 09:20:54] VideoClip INFO: Epoch: [1][200/400], lr: 1.50e-05, eta: 2:03:04 Time 0.612 (0.648) Data 0.006 (0.021) Loss 0.0000 (0.0482)
[08/16 09:21:00] VideoClip INFO: Epoch: [1][210/400], lr: 1.52e-05, eta: 2:02:44 Time 0.614 (0.646) Data 0.008 (0.020) Loss 0.0036 (0.0479)
[08/16 09:21:06] VideoClip INFO: Epoch: [1][220/400], lr: 1.55e-05, eta: 2:02:23 Time 0.609 (0.645) Data 0.009 (0.020) Loss 0.0038 (0.0496)
[08/16 09:21:12] VideoClip INFO: Epoch: [1][230/400], lr: 1.57e-05, eta: 2:02:03 Time 0.612 (0.644) Data 0.009 (0.019) Loss 0.0063 (0.0516)
[08/16 09:21:18] VideoClip INFO: Epoch: [1][240/400], lr: 1.60e-05, eta: 2:01:49 Time 0.634 (0.643) Data 0.005 (0.019) Loss 0.4121 (0.0545)
[08/16 09:21:25] VideoClip INFO: Epoch: [1][250/400], lr: 1.62e-05, eta: 2:01:31 Time 0.616 (0.642) Data 0.007 (0.019) Loss 0.0039 (0.0538)
[08/16 09:21:31] VideoClip INFO: Epoch: [1][260/400], lr: 1.65e-05, eta: 2:01:15 Time 0.612 (0.642) Data 0.007 (0.018) Loss 0.0262 (0.0531)
[08/16 09:21:37] VideoClip INFO: Epoch: [1][270/400], lr: 1.67e-05, eta: 2:01:00 Time 0.610 (0.641) Data 0.008 (0.018) Loss 0.0002 (0.0531)
[08/16 09:21:43] VideoClip INFO: Epoch: [1][280/400], lr: 1.70e-05, eta: 2:00:46 Time 0.630 (0.640) Data 0.005 (0.017) Loss 0.0015 (0.0530)
[08/16 09:21:49] VideoClip INFO: Epoch: [1][290/400], lr: 1.72e-05, eta: 2:00:30 Time 0.616 (0.639) Data 0.005 (0.017) Loss 0.0579 (0.0518)
[08/16 09:21:56] VideoClip INFO: Epoch: [1][300/400], lr: 1.75e-05, eta: 2:00:16 Time 0.618 (0.639) Data 0.011 (0.017) Loss 0.0007 (0.0504)
[08/16 09:22:02] VideoClip INFO: Epoch: [1][310/400], lr: 1.77e-05, eta: 2:00:02 Time 0.612 (0.638) Data 0.007 (0.016) Loss 0.0976 (0.0492)
[08/16 09:22:08] VideoClip INFO: Epoch: [1][320/400], lr: 1.80e-05, eta: 1:59:50 Time 0.641 (0.637) Data 0.005 (0.016) Loss 0.0002 (0.0481)
[08/16 09:22:14] VideoClip INFO: Epoch: [1][330/400], lr: 1.82e-05, eta: 1:59:38 Time 0.620 (0.637) Data 0.007 (0.016) Loss 0.0000 (0.0490)
[08/16 09:22:20] VideoClip INFO: Epoch: [1][340/400], lr: 1.85e-05, eta: 1:59:27 Time 0.619 (0.636) Data 0.009 (0.016) Loss 0.0005 (0.0482)
[08/16 09:22:27] VideoClip INFO: Epoch: [1][350/400], lr: 1.87e-05, eta: 1:59:14 Time 0.607 (0.636) Data 0.007 (0.015) Loss 0.0008 (0.0475)
[08/16 09:22:33] VideoClip INFO: Epoch: [1][360/400], lr: 1.90e-05, eta: 1:59:03 Time 0.626 (0.635) Data 0.006 (0.015) Loss 0.0000 (0.0519)
[08/16 09:22:39] VideoClip INFO: Epoch: [1][370/400], lr: 1.92e-05, eta: 1:58:52 Time 0.610 (0.635) Data 0.007 (0.015) Loss 0.2753 (0.0516)
[08/16 09:22:45] VideoClip INFO: Epoch: [1][380/400], lr: 1.95e-05, eta: 1:58:41 Time 0.619 (0.635) Data 0.009 (0.015) Loss 0.0000 (0.0519)
[08/16 09:22:51] VideoClip INFO: Epoch: [1][390/400], lr: 1.97e-05, eta: 1:58:30 Time 0.622 (0.634) Data 0.007 (0.015) Loss 0.0064 (0.0517)
[08/16 09:23:04] VideoClip INFO: Epoch: [2][0/400], lr: 2.00e-05, eta: 18:17:13 Time 5.877 (5.877) Data 4.956 (4.956) Loss 0.0295 (0.0295)
[08/16 09:23:10] VideoClip INFO: Epoch: [2][10/400], lr: 2.02e-05, eta: 3:25:30 Time 0.612 (1.102) Data 0.008 (0.459) Loss 0.0058 (0.0602)
[08/16 09:23:16] VideoClip INFO: Epoch: [2][20/400], lr: 2.05e-05, eta: 2:42:47 Time 0.614 (0.874) Data 0.008 (0.246) Loss 0.0067 (0.0365)
[08/16 09:23:22] VideoClip INFO: Epoch: [2][30/400], lr: 2.07e-05, eta: 2:27:40 Time 0.617 (0.793) Data 0.009 (0.170) Loss 0.0083 (0.0262)
[08/16 09:23:29] VideoClip INFO: Epoch: [2][40/400], lr: 2.10e-05, eta: 2:20:10 Time 0.600 (0.754) Data 0.012 (0.131) Loss 0.0001 (0.0295)
[08/16 09:23:35] VideoClip INFO: Epoch: [2][50/400], lr: 2.12e-05, eta: 2:15:19 Time 0.620 (0.728) Data 0.008 (0.107) Loss 0.1103 (0.0329)
[08/16 09:23:41] VideoClip INFO: Epoch: [2][60/400], lr: 2.15e-05, eta: 2:11:59 Time 0.616 (0.711) Data 0.008 (0.091) Loss 0.1600 (0.0445)
[08/16 09:23:47] VideoClip INFO: Epoch: [2][70/400], lr: 2.17e-05, eta: 2:09:33 Time 0.627 (0.698) Data 0.012 (0.079) Loss 0.0019 (0.0389)
[08/16 09:23:54] VideoClip INFO: Epoch: [2][80/400], lr: 2.20e-05, eta: 2:07:40 Time 0.618 (0.689) Data 0.007 (0.071) Loss 0.0000 (0.0362)
[08/16 09:24:00] VideoClip INFO: Epoch: [2][90/400], lr: 2.22e-05, eta: 2:06:09 Time 0.624 (0.681) Data 0.008 (0.064) Loss 0.0242 (0.0370)
[08/16 09:24:06] VideoClip INFO: Epoch: [2][100/400], lr: 2.25e-05, eta: 2:04:53 Time 0.612 (0.675) Data 0.007 (0.058) Loss 0.0004 (0.0359)
[08/16 09:24:12] VideoClip INFO: Epoch: [2][110/400], lr: 2.27e-05, eta: 2:03:52 Time 0.622 (0.670) Data 0.013 (0.054) Loss 0.0001 (0.0338)
[08/16 09:24:18] VideoClip INFO: Epoch: [2][120/400], lr: 2.30e-05, eta: 2:03:05 Time 0.622 (0.666) Data 0.007 (0.050) Loss 0.0002 (0.0319)
[08/16 09:24:25] VideoClip INFO: Epoch: [2][130/400], lr: 2.32e-05, eta: 2:02:19 Time 0.615 (0.663) Data 0.013 (0.047) Loss 0.0000 (0.0318)
[08/16 09:24:31] VideoClip INFO: Epoch: [2][140/400], lr: 2.35e-05, eta: 2:01:41 Time 0.615 (0.660) Data 0.007 (0.044) Loss 0.0000 (0.0299)
[08/16 09:24:37] VideoClip INFO: Epoch: [2][150/400], lr: 2.37e-05, eta: 2:01:05 Time 0.619 (0.657) Data 0.010 (0.042) Loss 0.0001 (0.0323)
[08/16 09:24:43] VideoClip INFO: Epoch: [2][160/400], lr: 2.40e-05, eta: 2:00:36 Time 0.631 (0.655) Data 0.007 (0.040) Loss 0.0146 (0.0330)
[08/16 09:24:49] VideoClip INFO: Epoch: [2][170/400], lr: 2.42e-05, eta: 2:00:07 Time 0.616 (0.653) Data 0.013 (0.038) Loss 0.0024 (0.0363)
[08/16 09:24:56] VideoClip INFO: Epoch: [2][180/400], lr: 2.45e-05, eta: 1:59:41 Time 0.611 (0.652) Data 0.008 (0.037) Loss 0.0000 (0.0346)
[08/16 09:25:02] VideoClip INFO: Epoch: [2][190/400], lr: 2.47e-05, eta: 1:59:16 Time 0.605 (0.650) Data 0.013 (0.035) Loss 0.0009 (0.0370)
[08/16 09:25:08] VideoClip INFO: Epoch: [2][200/400], lr: 2.50e-05, eta: 1:58:57 Time 0.590 (0.649) Data 0.007 (0.034) Loss 0.0002 (0.0379)
[08/16 09:25:14] VideoClip INFO: Epoch: [2][210/400], lr: 2.52e-05, eta: 1:58:35 Time 0.616 (0.647) Data 0.008 (0.033) Loss 0.0003 (0.0364)
[08/16 09:25:21] VideoClip INFO: Epoch: [2][220/400], lr: 2.55e-05, eta: 1:58:15 Time 0.618 (0.646) Data 0.008 (0.032) Loss 0.0001 (0.0348)
[08/16 09:25:27] VideoClip INFO: Epoch: [2][230/400], lr: 2.57e-05, eta: 1:57:56 Time 0.616 (0.645) Data 0.010 (0.031) Loss 0.2073 (0.0344)
[08/16 09:25:33] VideoClip INFO: Epoch: [2][240/400], lr: 2.60e-05, eta: 1:57:40 Time 0.669 (0.644) Data 0.006 (0.030) Loss 0.0349 (0.0342)
[08/16 09:25:39] VideoClip INFO: Epoch: [2][250/400], lr: 2.62e-05, eta: 1:57:23 Time 0.616 (0.643) Data 0.007 (0.029) Loss 0.0000 (0.0349)
[08/16 09:25:45] VideoClip INFO: Epoch: [2][260/400], lr: 2.65e-05, eta: 1:57:09 Time 0.630 (0.643) Data 0.007 (0.028) Loss 0.0000 (0.0345)
[08/16 09:25:52] VideoClip INFO: Epoch: [2][270/400], lr: 2.67e-05, eta: 1:56:55 Time 0.616 (0.642) Data 0.008 (0.027) Loss 0.0017 (0.0341)
[08/16 09:25:58] VideoClip INFO: Epoch: [2][280/400], lr: 2.70e-05, eta: 1:56:40 Time 0.610 (0.641) Data 0.007 (0.027) Loss 0.0110 (0.0351)
[08/16 09:26:04] VideoClip INFO: Epoch: [2][290/400], lr: 2.72e-05, eta: 1:56:24 Time 0.620 (0.640) Data 0.008 (0.026) Loss 0.0001 (0.0359)
[08/16 09:26:10] VideoClip INFO: Epoch: [2][300/400], lr: 2.75e-05, eta: 1:56:10 Time 0.610 (0.639) Data 0.008 (0.026) Loss 0.0005 (0.0356)
[08/16 09:26:16] VideoClip INFO: Epoch: [2][310/400], lr: 2.77e-05, eta: 1:55:57 Time 0.616 (0.639) Data 0.008 (0.025) Loss 0.0624 (0.0353)
[08/16 09:26:23] VideoClip INFO: Epoch: [2][320/400], lr: 2.80e-05, eta: 1:55:44 Time 0.615 (0.638) Data 0.007 (0.025) Loss 0.0624 (0.0351)
[08/16 09:26:29] VideoClip INFO: Epoch: [2][330/400], lr: 2.82e-05, eta: 1:55:32 Time 0.610 (0.638) Data 0.013 (0.024) Loss 0.0008 (0.0360)
[08/16 09:26:35] VideoClip INFO: Epoch: [2][340/400], lr: 2.85e-05, eta: 1:55:19 Time 0.608 (0.637) Data 0.007 (0.024) Loss 0.0001 (0.0361)
[08/16 09:26:41] VideoClip INFO: Epoch: [2][350/400], lr: 2.87e-05, eta: 1:55:07 Time 0.608 (0.637) Data 0.008 (0.023) Loss 0.0000 (0.0351)
[08/16 09:26:47] VideoClip INFO: Epoch: [2][360/400], lr: 2.90e-05, eta: 1:54:57 Time 0.630 (0.636) Data 0.007 (0.023) Loss 0.1011 (0.0362)
[08/16 09:26:54] VideoClip INFO: Epoch: [2][370/400], lr: 2.92e-05, eta: 1:54:46 Time 0.625 (0.636) Data 0.008 (0.023) Loss 0.0201 (0.0365)
[08/16 09:27:00] VideoClip INFO: Epoch: [2][380/400], lr: 2.95e-05, eta: 1:54:34 Time 0.611 (0.635) Data 0.009 (0.022) Loss 0.0049 (0.0367)
[08/16 09:27:06] VideoClip INFO: Epoch: [2][390/400], lr: 2.97e-05, eta: 1:54:24 Time 0.613 (0.635) Data 0.008 (0.022) Loss 0.0024 (0.0361)
[08/16 09:27:18] VideoClip INFO: Epoch: [3][0/400], lr: 3.00e-05, eta: 16:56:29 Time 5.647 (5.647) Data 4.036 (4.036) Loss 0.0000 (0.0000)
[08/16 09:27:24] VideoClip INFO: Epoch: [3][10/400], lr: 3.02e-05, eta: 3:15:29 Time 0.612 (1.087) Data 0.008 (0.374) Loss 0.0000 (0.0820)
[08/16 09:27:31] VideoClip INFO: Epoch: [3][20/400], lr: 3.05e-05, eta: 2:35:34 Time 0.620 (0.866) Data 0.011 (0.200) Loss 0.0000 (0.0523)
[08/16 09:27:37] VideoClip INFO: Epoch: [3][30/400], lr: 3.07e-05, eta: 2:21:31 Time 0.617 (0.788) Data 0.009 (0.138) Loss 0.0005 (0.0546)
[08/16 09:27:43] VideoClip INFO: Epoch: [3][40/400], lr: 3.10e-05, eta: 2:14:25 Time 0.643 (0.749) Data 0.006 (0.106) Loss 0.0005 (0.0458)
[08/16 09:27:49] VideoClip INFO: Epoch: [3][50/400], lr: 3.12e-05, eta: 2:09:53 Time 0.615 (0.725) Data 0.009 (0.087) Loss 0.0015 (0.0380)
[08/16 09:27:56] VideoClip INFO: Epoch: [3][60/400], lr: 3.15e-05, eta: 2:06:41 Time 0.613 (0.708) Data 0.009 (0.074) Loss 0.0000 (0.0323)
[08/16 09:28:02] VideoClip INFO: Epoch: [3][70/400], lr: 3.17e-05, eta: 2:04:19 Time 0.619 (0.695) Data 0.008 (0.065) Loss 0.2039 (0.0319)
[08/16 09:28:08] VideoClip INFO: Epoch: [3][80/400], lr: 3.20e-05, eta: 2:02:37 Time 0.644 (0.686) Data 0.007 (0.058) Loss 0.0161 (0.0311)
[08/16 09:28:14] VideoClip INFO: Epoch: [3][90/400], lr: 3.22e-05, eta: 2:01:16 Time 0.617 (0.679) Data 0.009 (0.053) Loss 0.0000 (0.0311)
[08/16 09:28:20] VideoClip INFO: Epoch: [3][100/400], lr: 3.25e-05, eta: 2:00:05 Time 0.624 (0.673) Data 0.012 (0.048) Loss 0.0052 (0.0326)
[08/16 09:28:27] VideoClip INFO: Epoch: [3][110/400], lr: 3.27e-05, eta: 1:59:08 Time 0.615 (0.669) Data 0.008 (0.045) Loss 0.0005 (0.0300)
[08/16 09:28:33] VideoClip INFO: Epoch: [3][120/400], lr: 3.30e-05, eta: 1:58:23 Time 0.640 (0.665) Data 0.007 (0.042) Loss 0.0000 (0.0288)
[08/16 09:28:39] VideoClip INFO: Epoch: [3][130/400], lr: 3.32e-05, eta: 1:57:39 Time 0.619 (0.662) Data 0.013 (0.039) Loss 0.0000 (0.0269)
[08/16 09:28:45] VideoClip INFO: Epoch: [3][140/400], lr: 3.35e-05, eta: 1:56:58 Time 0.609 (0.658) Data 0.008 (0.037) Loss 0.0004 (0.0258)
[08/16 09:28:51] VideoClip INFO: Epoch: [3][150/400], lr: 3.37e-05, eta: 1:56:23 Time 0.614 (0.656) Data 0.008 (0.035) Loss 0.3376 (0.0265)
[08/16 09:28:58] VideoClip INFO: Epoch: [3][160/400], lr: 3.40e-05, eta: 1:55:53 Time 0.615 (0.653) Data 0.006 (0.033) Loss 0.0080 (0.0281)
[08/16 09:29:04] VideoClip INFO: Epoch: [3][170/400], lr: 3.42e-05, eta: 1:55:25 Time 0.608 (0.651) Data 0.007 (0.032) Loss 0.0002 (0.0294)
[08/16 09:29:10] VideoClip INFO: Epoch: [3][180/400], lr: 3.45e-05, eta: 1:55:00 Time 0.622 (0.650) Data 0.008 (0.030) Loss 0.0002 (0.0286)
[08/16 09:29:16] VideoClip INFO: Epoch: [3][190/400], lr: 3.47e-05, eta: 1:54:37 Time 0.616 (0.648) Data 0.012 (0.029) Loss 0.0000 (0.0280)
[08/16 09:29:22] VideoClip INFO: Epoch: [3][200/400], lr: 3.50e-05, eta: 1:54:18 Time 0.614 (0.647) Data 0.007 (0.028) Loss 0.0000 (0.0290)
[08/16 09:29:29] VideoClip INFO: Epoch: [3][210/400], lr: 3.52e-05, eta: 1:53:58 Time 0.620 (0.646) Data 0.007 (0.027) Loss 0.0005 (0.0279)
[08/16 09:29:35] VideoClip INFO: Epoch: [3][220/400], lr: 3.55e-05, eta: 1:53:40 Time 0.621 (0.645) Data 0.007 (0.026) Loss 0.0000 (0.0267)
[08/16 09:29:41] VideoClip INFO: Epoch: [3][230/400], lr: 3.57e-05, eta: 1:53:21 Time 0.611 (0.643) Data 0.007 (0.026) Loss 0.0011 (0.0275)
[08/16 09:29:47] VideoClip INFO: Epoch: [3][240/400], lr: 3.60e-05, eta: 1:53:06 Time 0.617 (0.643) Data 0.007 (0.025) Loss 0.0001 (0.0267)
[08/16 09:29:53] VideoClip INFO: Epoch: [3][250/400], lr: 3.62e-05, eta: 1:52:51 Time 0.615 (0.642) Data 0.008 (0.024) Loss 0.2725 (0.0305)
[08/16 09:30:00] VideoClip INFO: Epoch: [3][260/400], lr: 3.65e-05, eta: 1:52:34 Time 0.611 (0.641) Data 0.008 (0.024) Loss 0.0088 (0.0294)
[08/16 09:30:06] VideoClip INFO: Epoch: [3][270/400], lr: 3.67e-05, eta: 1:52:22 Time 0.618 (0.640) Data 0.008 (0.023) Loss 0.0038 (0.0284)
[08/16 09:30:12] VideoClip INFO: Epoch: [3][280/400], lr: 3.70e-05, eta: 1:52:09 Time 0.631 (0.640) Data 0.007 (0.023) Loss 0.2992 (0.0316)
[08/16 09:30:18] VideoClip INFO: Epoch: [3][290/400], lr: 3.72e-05, eta: 1:51:55 Time 0.614 (0.639) Data 0.012 (0.022) Loss 0.0056 (0.0307)
[08/16 09:30:24] VideoClip INFO: Epoch: [3][300/400], lr: 3.75e-05, eta: 1:51:43 Time 0.617 (0.638) Data 0.008 (0.022) Loss 0.0000 (0.0299)
[08/16 09:30:31] VideoClip INFO: Epoch: [3][310/400], lr: 3.77e-05, eta: 1:51:29 Time 0.610 (0.638) Data 0.007 (0.021) Loss 0.0000 (0.0295)
[08/16 09:30:37] VideoClip INFO: Epoch: [3][320/400], lr: 3.80e-05, eta: 1:51:18 Time 0.625 (0.637) Data 0.006 (0.021) Loss 0.0004 (0.0286)
[08/16 09:30:43] VideoClip INFO: Epoch: [3][330/400], lr: 3.82e-05, eta: 1:51:06 Time 0.617 (0.637) Data 0.007 (0.020) Loss 0.0008 (0.0278)
[08/16 09:30:49] VideoClip INFO: Epoch: [3][340/400], lr: 3.85e-05, eta: 1:50:54 Time 0.619 (0.636) Data 0.008 (0.020) Loss 0.0060 (0.0297)
[08/16 09:30:55] VideoClip INFO: Epoch: [3][350/400], lr: 3.87e-05, eta: 1:50:42 Time 0.614 (0.636) Data 0.007 (0.020) Loss 0.0828 (0.0314)
[08/16 09:31:02] VideoClip INFO: Epoch: [3][360/400], lr: 3.90e-05, eta: 1:50:32 Time 0.633 (0.635) Data 0.007 (0.019) Loss 0.0086 (0.0319)
[08/16 09:31:08] VideoClip INFO: Epoch: [3][370/400], lr: 3.92e-05, eta: 1:50:22 Time 0.610 (0.635) Data 0.008 (0.019) Loss 0.0000 (0.0331)
[08/16 09:31:14] VideoClip INFO: Epoch: [3][380/400], lr: 3.95e-05, eta: 1:50:11 Time 0.618 (0.634) Data 0.009 (0.019) Loss 0.0236 (0.0341)
[08/16 09:31:20] VideoClip INFO: Epoch: [3][390/400], lr: 3.97e-05, eta: 1:50:00 Time 0.617 (0.634) Data 0.008 (0.019) Loss 0.0455 (0.0343)
[08/16 09:31:33] VideoClip INFO: Epoch: [4][0/400], lr: 4.00e-05, eta: 17:21:46 Time 6.010 (6.010) Data 4.431 (4.431) Loss 0.0055 (0.0055)
[08/16 09:31:39] VideoClip INFO: Epoch: [4][10/400], lr: 4.02e-05, eta: 3:12:36 Time 0.616 (1.112) Data 0.012 (0.411) Loss 0.0001 (0.0125)
[08/16 09:31:45] VideoClip INFO: Epoch: [4][20/400], lr: 4.05e-05, eta: 2:31:56 Time 0.614 (0.878) Data 0.015 (0.220) Loss 0.0047 (0.0167)
[08/16 09:31:51] VideoClip INFO: Epoch: [4][30/400], lr: 4.07e-05, eta: 2:17:25 Time 0.613 (0.795) Data 0.008 (0.152) Loss 0.0214 (0.0268)
[08/16 09:31:58] VideoClip INFO: Epoch: [4][40/400], lr: 4.10e-05, eta: 2:10:28 Time 0.615 (0.756) Data 0.013 (0.117) Loss 0.0000 (0.0465)
[08/16 09:32:04] VideoClip INFO: Epoch: [4][50/400], lr: 4.12e-05, eta: 2:05:45 Time 0.613 (0.729) Data 0.008 (0.096) Loss 0.0002 (0.0384)
[08/16 09:32:10] VideoClip INFO: Epoch: [4][60/400], lr: 4.15e-05, eta: 2:02:30 Time 0.614 (0.711) Data 0.009 (0.082) Loss 0.0123 (0.0344)
[08/16 09:32:16] VideoClip INFO: Epoch: [4][70/400], lr: 4.17e-05, eta: 2:00:14 Time 0.619 (0.698) Data 0.008 (0.071) Loss 0.0000 (0.0336)
[08/16 09:32:22] VideoClip INFO: Epoch: [4][80/400], lr: 4.20e-05, eta: 1:58:33 Time 0.625 (0.689) Data 0.005 (0.064) Loss 0.0003 (0.0296)
[08/16 09:32:29] VideoClip INFO: Epoch: [4][90/400], lr: 4.22e-05, eta: 1:57:07 Time 0.616 (0.682) Data 0.007 (0.058) Loss 0.2767 (0.0340)
[08/16 09:32:35] VideoClip INFO: Epoch: [4][100/400], lr: 4.25e-05, eta: 1:55:58 Time 0.617 (0.675) Data 0.010 (0.053) Loss 0.0890 (0.0318)
[08/16 09:32:41] VideoClip INFO: Epoch: [4][110/400], lr: 4.27e-05, eta: 1:55:03 Time 0.622 (0.671) Data 0.007 (0.049) Loss 0.0021 (0.0297)
[08/16 09:32:47] VideoClip INFO: Epoch: [4][120/400], lr: 4.30e-05, eta: 1:54:21 Time 0.634 (0.667) Data 0.009 (0.045) Loss 0.0000 (0.0313)
[08/16 09:32:54] VideoClip INFO: Epoch: [4][130/400], lr: 4.32e-05, eta: 1:53:39 Time 0.613 (0.664) Data 0.012 (0.043) Loss 0.0081 (0.0291)
[08/16 09:33:00] VideoClip INFO: Epoch: [4][140/400], lr: 4.35e-05, eta: 1:53:02 Time 0.624 (0.661) Data 0.005 (0.040) Loss 0.0001 (0.0341)
[08/16 09:33:06] VideoClip INFO: Epoch: [4][150/400], lr: 4.37e-05, eta: 1:52:27 Time 0.612 (0.658) Data 0.008 (0.038) Loss 0.0005 (0.0348)
[08/16 09:33:12] VideoClip INFO: Epoch: [4][160/400], lr: 4.40e-05, eta: 1:51:59 Time 0.640 (0.656) Data 0.006 (0.036) Loss 0.0001 (0.0331)
[08/16 09:33:18] VideoClip INFO: Epoch: [4][170/400], lr: 4.42e-05, eta: 1:51:29 Time 0.616 (0.654) Data 0.012 (0.035) Loss 0.0000 (0.0318)
[08/16 09:33:25] VideoClip INFO: Epoch: [4][180/400], lr: 4.45e-05, eta: 1:51:04 Time 0.620 (0.652) Data 0.015 (0.033) Loss 0.0041 (0.0308)
[08/16 09:33:31] VideoClip INFO: Epoch: [4][190/400], lr: 4.47e-05, eta: 1:50:39 Time 0.611 (0.650) Data 0.007 (0.032) Loss 0.0006 (0.0305)
[08/16 09:33:37] VideoClip INFO: Epoch: [4][200/400], lr: 4.50e-05, eta: 1:50:21 Time 0.629 (0.649) Data 0.007 (0.031) Loss 0.0008 (0.0312)
[08/16 09:33:43] VideoClip INFO: Epoch: [4][210/400], lr: 4.52e-05, eta: 1:50:00 Time 0.623 (0.648) Data 0.008 (0.030) Loss 0.0000 (0.0314)
[08/16 09:33:49] VideoClip INFO: Epoch: [4][220/400], lr: 4.55e-05, eta: 1:49:40 Time 0.620 (0.646) Data 0.013 (0.029) Loss 0.0000 (0.0304)
[08/16 09:33:56] VideoClip INFO: Epoch: [4][230/400], lr: 4.57e-05, eta: 1:49:21 Time 0.607 (0.645) Data 0.006 (0.028) Loss 0.0000 (0.0293)
[08/16 09:34:02] VideoClip INFO: Epoch: [4][240/400], lr: 4.60e-05, eta: 1:49:04 Time 0.618 (0.644) Data 0.012 (0.027) Loss 0.0014 (0.0282)
[08/16 09:34:08] VideoClip INFO: Epoch: [4][250/400], lr: 4.62e-05, eta: 1:48:47 Time 0.605 (0.643) Data 0.007 (0.026) Loss 0.0498 (0.0314)
[08/16 09:34:14] VideoClip INFO: Epoch: [4][260/400], lr: 4.65e-05, eta: 1:48:32 Time 0.617 (0.642) Data 0.011 (0.026) Loss 0.0001 (0.0323)
[08/16 09:34:20] VideoClip INFO: Epoch: [4][270/400], lr: 4.67e-05, eta: 1:48:16 Time 0.615 (0.641) Data 0.008 (0.025) Loss 0.0070 (0.0319)
[08/16 09:34:27] VideoClip INFO: Epoch: [4][280/400], lr: 4.70e-05, eta: 1:48:03 Time 0.613 (0.641) Data 0.006 (0.024) Loss 0.0636 (0.0311)
[08/16 09:34:33] VideoClip INFO: Epoch: [4][290/400], lr: 4.72e-05, eta: 1:47:49 Time 0.608 (0.640) Data 0.008 (0.024) Loss 0.0023 (0.0307)
[08/16 09:34:39] VideoClip INFO: Epoch: [4][300/400], lr: 4.75e-05, eta: 1:47:35 Time 0.615 (0.639) Data 0.007 (0.023) Loss 0.4969 (0.0346)
[08/16 09:34:45] VideoClip INFO: Epoch: [4][310/400], lr: 4.77e-05, eta: 1:47:22 Time 0.614 (0.638) Data 0.012 (0.023) Loss 0.0002 (0.0338)
[08/16 09:34:51] VideoClip INFO: Epoch: [4][320/400], lr: 4.80e-05, eta: 1:47:10 Time 0.629 (0.638) Data 0.008 (0.022) Loss 0.0000 (0.0331)
[08/16 09:34:58] VideoClip INFO: Epoch: [4][330/400], lr: 4.82e-05, eta: 1:46:58 Time 0.616 (0.637) Data 0.012 (0.022) Loss 0.0082 (0.0344)
[08/16 09:35:04] VideoClip INFO: Epoch: [4][340/400], lr: 4.85e-05, eta: 1:46:46 Time 0.611 (0.637) Data 0.006 (0.022) Loss 0.0001 (0.0335)
[08/16 09:35:10] VideoClip INFO: Epoch: [4][350/400], lr: 4.87e-05, eta: 1:46:34 Time 0.623 (0.636) Data 0.008 (0.021) Loss 0.0009 (0.0350)
[08/16 09:35:16] VideoClip INFO: Epoch: [4][360/400], lr: 4.90e-05, eta: 1:46:25 Time 0.621 (0.636) Data 0.009 (0.021) Loss 0.0000 (0.0343)
[08/16 09:35:22] VideoClip INFO: Epoch: [4][370/400], lr: 4.92e-05, eta: 1:46:14 Time 0.622 (0.636) Data 0.007 (0.020) Loss 0.0004 (0.0337)
[08/16 09:35:29] VideoClip INFO: Epoch: [4][380/400], lr: 4.95e-05, eta: 1:46:03 Time 0.612 (0.635) Data 0.009 (0.020) Loss 0.0004 (0.0334)
[08/16 09:35:35] VideoClip INFO: Epoch: [4][390/400], lr: 4.97e-05, eta: 1:45:52 Time 0.617 (0.635) Data 0.008 (0.020) Loss 0.0005 (0.0348)
[08/16 09:35:50] VideoClip INFO: Test: [0/154] Prec@1 93.750 (93.750) Prec@5 100.000 (100.000)
[08/16 09:35:52] VideoClip INFO: Test: [10/154] Prec@1 93.750 (92.045) Prec@5 100.000 (99.716)
[08/16 09:35:53] VideoClip INFO: Test: [20/154] Prec@1 96.875 (92.113) Prec@5 100.000 (99.554)
[08/16 09:35:55] VideoClip INFO: Test: [30/154] Prec@1 87.500 (92.440) Prec@5 100.000 (99.698)
[08/16 09:35:57] VideoClip INFO: Test: [40/154] Prec@1 93.750 (92.226) Prec@5 100.000 (99.543)
[08/16 09:35:59] VideoClip INFO: Test: [50/154] Prec@1 84.375 (91.912) Prec@5 96.875 (99.387)
[08/16 09:36:00] VideoClip INFO: Test: [60/154] Prec@1 93.750 (91.701) Prec@5 96.875 (99.283)
[08/16 09:36:02] VideoClip INFO: Test: [70/154] Prec@1 100.000 (92.033) Prec@5 100.000 (99.296)
[08/16 09:36:04] VideoClip INFO: Test: [80/154] Prec@1 90.625 (92.207) Prec@5 100.000 (99.383)
[08/16 09:36:05] VideoClip INFO: Test: [90/154] Prec@1 93.750 (92.273) Prec@5 100.000 (99.313)
[08/16 09:36:07] VideoClip INFO: Test: [100/154] Prec@1 93.750 (92.420) Prec@5 100.000 (99.350)
[08/16 09:36:09] VideoClip INFO: Test: [110/154] Prec@1 96.875 (92.483) Prec@5 100.000 (99.381)
[08/16 09:36:11] VideoClip INFO: Test: [120/154] Prec@1 96.875 (92.433) Prec@5 100.000 (99.354)
[08/16 09:36:12] VideoClip INFO: Test: [130/154] Prec@1 90.625 (92.462) Prec@5 96.875 (99.356)
[08/16 09:36:14] VideoClip INFO: Test: [140/154] Prec@1 87.500 (92.398) Prec@5 96.875 (99.357)
[08/16 09:36:16] VideoClip INFO: Test: [150/154] Prec@1 84.375 (92.384) Prec@5 100.000 (99.358)
[08/16 09:36:17] VideoClip INFO: Testing Results: Prec@1 92.370 Prec@5 99.351
[08/16 09:36:17] VideoClip INFO: Testing: 92.37012987012987/92.37012987012987
[08/16 09:36:17] VideoClip INFO: Saving:
[08/16 09:38:04] VideoClip INFO: Epoch: [5][0/400], lr: 5.00e-05, eta: 7:04:57 Time 2.550 (2.550) Data 1.403 (1.403) Loss 0.0000 (0.0000)
[08/16 09:38:11] VideoClip INFO: Epoch: [5][10/400], lr: 5.00e-05, eta: 2:13:04 Time 0.625 (0.799) Data 0.005 (0.132) Loss 0.0447 (0.0076)
[08/16 09:38:17] VideoClip INFO: Epoch: [5][20/400], lr: 5.00e-05, eta: 1:59:21 Time 0.613 (0.717) Data 0.008 (0.073) Loss 0.0012 (0.0426)
[08/16 09:38:23] VideoClip INFO: Epoch: [5][30/400], lr: 5.00e-05, eta: 1:54:01 Time 0.619 (0.686) Data 0.005 (0.051) Loss 0.0072 (0.0362)
[08/16 09:38:29] VideoClip INFO: Epoch: [5][40/400], lr: 5.00e-05, eta: 1:51:34 Time 0.638 (0.672) Data 0.006 (0.041) Loss 0.0000 (0.0281)
[08/16 09:38:36] VideoClip INFO: Epoch: [5][50/400], lr: 5.00e-05, eta: 1:49:44 Time 0.615 (0.662) Data 0.005 (0.034) Loss 0.0150 (0.0240)
[08/16 09:38:42] VideoClip INFO: Epoch: [5][60/400], lr: 5.00e-05, eta: 1:48:30 Time 0.609 (0.655) Data 0.007 (0.029) Loss 0.0003 (0.0280)
[08/16 09:38:48] VideoClip INFO: Epoch: [5][70/400], lr: 5.00e-05, eta: 1:47:35 Time 0.618 (0.650) Data 0.006 (0.026) Loss 0.0000 (0.0302)
[08/16 09:38:54] VideoClip INFO: Epoch: [5][80/400], lr: 5.00e-05, eta: 1:46:57 Time 0.618 (0.647) Data 0.009 (0.024) Loss 0.0009 (0.0269)
[08/16 09:39:00] VideoClip INFO: Epoch: [5][90/400], lr: 5.00e-05, eta: 1:46:20 Time 0.617 (0.644) Data 0.006 (0.022) Loss 0.0001 (0.0340)
[08/16 09:39:07] VideoClip INFO: Epoch: [5][100/400], lr: 5.00e-05, eta: 1:45:47 Time 0.615 (0.641) Data 0.007 (0.020) Loss 0.5421 (0.0438)
[08/16 09:39:13] VideoClip INFO: Epoch: [5][110/400], lr: 5.00e-05, eta: 1:45:26 Time 0.614 (0.640) Data 0.006 (0.019) Loss 0.3458 (0.0434)
[08/16 09:39:19] VideoClip INFO: Epoch: [5][120/400], lr: 5.00e-05, eta: 1:45:08 Time 0.629 (0.638) Data 0.006 (0.018) Loss 0.0000 (0.0402)
[08/16 09:39:25] VideoClip INFO: Epoch: [5][130/400], lr: 5.00e-05, eta: 1:44:47 Time 0.623 (0.637) Data 0.006 (0.017) Loss 0.0005 (0.0373)
[08/16 09:39:32] VideoClip INFO: Epoch: [5][140/400], lr: 5.00e-05, eta: 1:44:28 Time 0.617 (0.636) Data 0.008 (0.017) Loss 0.0000 (0.0403)
[08/16 09:39:38] VideoClip INFO: Epoch: [5][150/400], lr: 5.00e-05, eta: 1:44:11 Time 0.612 (0.635) Data 0.006 (0.016) Loss 0.0204 (0.0404)
[08/16 09:39:44] VideoClip INFO: Epoch: [5][160/400], lr: 5.00e-05, eta: 1:43:59 Time 0.619 (0.634) Data 0.007 (0.015) Loss 0.0000 (0.0385)
[08/16 09:39:50] VideoClip INFO: Epoch: [5][170/400], lr: 5.00e-05, eta: 1:43:46 Time 0.613 (0.633) Data 0.007 (0.015) Loss 0.0003 (0.0363)
[08/16 09:39:56] VideoClip INFO: Epoch: [5][180/400], lr: 5.00e-05, eta: 1:43:32 Time 0.615 (0.633) Data 0.012 (0.014) Loss 0.0456 (0.0355)
[08/16 09:40:03] VideoClip INFO: Epoch: [5][190/400], lr: 5.00e-05, eta: 1:43:20 Time 0.611 (0.632) Data 0.009 (0.014) Loss 0.2080 (0.0349)
[08/16 09:40:09] VideoClip INFO: Epoch: [5][200/400], lr: 5.00e-05, eta: 1:43:10 Time 0.651 (0.632) Data 0.005 (0.014) Loss 0.0000 (0.0333)
[08/16 09:40:15] VideoClip INFO: Epoch: [5][210/400], lr: 4.99e-05, eta: 1:42:56 Time 0.614 (0.631) Data 0.005 (0.013) Loss 0.0691 (0.0322)
[08/16 09:40:21] VideoClip INFO: Epoch: [5][220/400], lr: 4.99e-05, eta: 1:42:45 Time 0.609 (0.630) Data 0.006 (0.013) Loss 0.0000 (0.0310)
[08/16 09:40:27] VideoClip INFO: Epoch: [5][230/400], lr: 4.99e-05, eta: 1:42:34 Time 0.616 (0.630) Data 0.006 (0.013) Loss 0.0002 (0.0332)
[08/16 09:40:34] VideoClip INFO: Epoch: [5][240/400], lr: 4.99e-05, eta: 1:42:26 Time 0.639 (0.630) Data 0.005 (0.013) Loss 0.0000 (0.0321)
[08/16 09:40:40] VideoClip INFO: Epoch: [5][250/400], lr: 4.99e-05, eta: 1:42:15 Time 0.612 (0.629) Data 0.006 (0.012) Loss 0.0001 (0.0329)
[08/16 09:40:46] VideoClip INFO: Epoch: [5][260/400], lr: 4.99e-05, eta: 1:42:04 Time 0.611 (0.629) Data 0.007 (0.012) Loss 0.0000 (0.0329)
[08/16 09:40:52] VideoClip INFO: Epoch: [5][270/400], lr: 4.99e-05, eta: 1:41:55 Time 0.614 (0.628) Data 0.006 (0.012) Loss 0.0152 (0.0323)
[08/16 09:40:58] VideoClip INFO: Epoch: [5][280/400], lr: 4.99e-05, eta: 1:41:46 Time 0.603 (0.628) Data 0.006 (0.012) Loss 0.0480 (0.0348)
[08/16 09:41:05] VideoClip INFO: Epoch: [5][290/400], lr: 4.99e-05, eta: 1:41:36 Time 0.623 (0.628) Data 0.006 (0.011) Loss 0.0000 (0.0344)
[08/16 09:41:11] VideoClip INFO: Epoch: [5][300/400], lr: 4.99e-05, eta: 1:41:27 Time 0.612 (0.627) Data 0.006 (0.011) Loss 0.0000 (0.0335)
[08/16 09:41:17] VideoClip INFO: Epoch: [5][310/400], lr: 4.99e-05, eta: 1:41:18 Time 0.622 (0.627) Data 0.006 (0.011) Loss 0.0049 (0.0325)
[08/16 09:41:23] VideoClip INFO: Epoch: [5][320/400], lr: 4.99e-05, eta: 1:41:10 Time 0.621 (0.627) Data 0.005 (0.011) Loss 0.0000 (0.0321)
[08/16 09:41:29] VideoClip INFO: Epoch: [5][330/400], lr: 4.99e-05, eta: 1:41:01 Time 0.613 (0.627) Data 0.008 (0.011) Loss 0.0002 (0.0312)
[08/16 09:41:36] VideoClip INFO: Epoch: [5][340/400], lr: 4.99e-05, eta: 1:40:52 Time 0.609 (0.627) Data 0.006 (0.011) Loss 0.0001 (0.0307)
[08/16 09:41:42] VideoClip INFO: Epoch: [5][350/400], lr: 4.98e-05, eta: 1:40:44 Time 0.616 (0.626) Data 0.005 (0.011) Loss 0.0004 (0.0304)
[08/16 09:41:48] VideoClip INFO: Epoch: [5][360/400], lr: 4.98e-05, eta: 1:40:36 Time 0.619 (0.626) Data 0.005 (0.011) Loss 0.0002 (0.0297)
[08/16 09:41:54] VideoClip INFO: Epoch: [5][370/400], lr: 4.98e-05, eta: 1:40:28 Time 0.614 (0.626) Data 0.006 (0.010) Loss 0.0001 (0.0306)
[08/16 09:42:00] VideoClip INFO: Epoch: [5][380/400], lr: 4.98e-05, eta: 1:40:19 Time 0.621 (0.626) Data 0.006 (0.010) Loss 0.0001 (0.0305)
[08/16 09:42:06] VideoClip INFO: Epoch: [5][390/400], lr: 4.98e-05, eta: 1:40:11 Time 0.609 (0.626) Data 0.005 (0.010) Loss 0.0001 (0.0300)
[08/16 09:42:19] VideoClip INFO: Epoch: [6][0/400], lr: 4.98e-05, eta: 16:15:28 Time 6.096 (6.096) Data 3.604 (3.604) Loss 0.0177 (0.0177)
[08/16 09:42:25] VideoClip INFO: Epoch: [6][10/400], lr: 4.98e-05, eta: 2:58:47 Time 0.615 (1.119) Data 0.005 (0.333) Loss 0.0315 (0.0064)
[08/16 09:42:31] VideoClip INFO: Epoch: [6][20/400], lr: 4.98e-05, eta: 2:21:00 Time 0.610 (0.883) Data 0.006 (0.177) Loss 0.0000 (0.0233)
[08/16 09:42:38] VideoClip INFO: Epoch: [6][30/400], lr: 4.98e-05, eta: 2:07:27 Time 0.619 (0.799) Data 0.009 (0.123) Loss 0.0275 (0.0187)
[08/16 09:42:44] VideoClip INFO: Epoch: [6][40/400], lr: 4.98e-05, eta: 2:00:37 Time 0.636 (0.757) Data 0.006 (0.094) Loss 0.0039 (0.0144)
[08/16 09:42:50] VideoClip INFO: Epoch: [6][50/400], lr: 4.98e-05, eta: 1:56:18 Time 0.618 (0.731) Data 0.011 (0.077) Loss 0.0000 (0.0140)
[08/16 09:42:56] VideoClip INFO: Epoch: [6][60/400], lr: 4.97e-05, eta: 1:53:18 Time 0.623 (0.713) Data 0.005 (0.066) Loss 0.0001 (0.0119)
[08/16 09:43:02] VideoClip INFO: Epoch: [6][70/400], lr: 4.97e-05, eta: 1:51:08 Time 0.623 (0.700) Data 0.007 (0.057) Loss 0.0000 (0.0119)
[08/16 09:43:09] VideoClip INFO: Epoch: [6][80/400], lr: 4.97e-05, eta: 1:49:36 Time 0.664 (0.691) Data 0.005 (0.051) Loss 0.0026 (0.0111)
[08/16 09:43:15] VideoClip INFO: Epoch: [6][90/400], lr: 4.97e-05, eta: 1:48:13 Time 0.615 (0.683) Data 0.005 (0.046) Loss 0.0009 (0.0134)
[08/16 09:43:21] VideoClip INFO: Epoch: [6][100/400], lr: 4.97e-05, eta: 1:47:09 Time 0.615 (0.677) Data 0.007 (0.042) Loss 0.0000 (0.0173)
[08/16 09:43:27] VideoClip INFO: Epoch: [6][110/400], lr: 4.97e-05, eta: 1:46:14 Time 0.617 (0.672) Data 0.006 (0.039) Loss 0.0003 (0.0169)
[08/16 09:43:34] VideoClip INFO: Epoch: [6][120/400], lr: 4.97e-05, eta: 1:45:29 Time 0.622 (0.668) Data 0.005 (0.036) Loss 0.0057 (0.0181)
[08/16 09:43:40] VideoClip INFO: Epoch: [6][130/400], lr: 4.97e-05, eta: 1:44:46 Time 0.609 (0.664) Data 0.007 (0.034) Loss 0.0113 (0.0173)
[08/16 09:43:46] VideoClip INFO: Epoch: [6][140/400], lr: 4.96e-05, eta: 1:44:09 Time 0.608 (0.661) Data 0.009 (0.032) Loss 0.0023 (0.0175)
[08/16 09:43:52] VideoClip INFO: Epoch: [6][150/400], lr: 4.96e-05, eta: 1:43:37 Time 0.620 (0.658) Data 0.006 (0.030) Loss 0.0000 (0.0198)
[08/16 09:43:58] VideoClip INFO: Epoch: [6][160/400], lr: 4.96e-05, eta: 1:43:13 Time 0.635 (0.656) Data 0.005 (0.029) Loss 0.4563 (0.0216)
[08/16 09:44:05] VideoClip INFO: Epoch: [6][170/400], lr: 4.96e-05, eta: 1:42:46 Time 0.616 (0.654) Data 0.005 (0.028) Loss 0.0445 (0.0211)
[08/16 09:44:11] VideoClip INFO: Epoch: [6][180/400], lr: 4.96e-05, eta: 1:42:22 Time 0.616 (0.652) Data 0.006 (0.026) Loss 0.0000 (0.0213)
[08/16 09:44:17] VideoClip INFO: Epoch: [6][190/400], lr: 4.96e-05, eta: 1:41:59 Time 0.612 (0.650) Data 0.005 (0.025) Loss 0.1950 (0.0212)
[08/16 09:44:23] VideoClip INFO: Epoch: [6][200/400], lr: 4.96e-05, eta: 1:41:40 Time 0.639 (0.649) Data 0.005 (0.024) Loss 0.0000 (0.0208)
[08/16 09:44:29] VideoClip INFO: Epoch: [6][210/400], lr: 4.95e-05, eta: 1:41:21 Time 0.621 (0.648) Data 0.007 (0.024) Loss 0.0000 (0.0205)
[08/16 09:44:36] VideoClip INFO: Epoch: [6][220/400], lr: 4.95e-05, eta: 1:41:04 Time 0.614 (0.646) Data 0.006 (0.023) Loss 0.0337 (0.0209)
[08/16 09:44:42] VideoClip INFO: Epoch: [6][230/400], lr: 4.95e-05, eta: 1:40:44 Time 0.605 (0.645) Data 0.007 (0.022) Loss 0.2041 (0.0218)
[08/16 09:44:48] VideoClip INFO: Epoch: [6][240/400], lr: 4.95e-05, eta: 1:40:30 Time 0.627 (0.644) Data 0.010 (0.022) Loss 0.0074 (0.0215)
[08/16 09:44:54] VideoClip INFO: Epoch: [6][250/400], lr: 4.95e-05, eta: 1:40:13 Time 0.615 (0.643) Data 0.007 (0.021) Loss 0.0000 (0.0229)
[08/16 09:45:00] VideoClip INFO: Epoch: [6][260/400], lr: 4.95e-05, eta: 1:39:59 Time 0.617 (0.642) Data 0.011 (0.020) Loss 0.0013 (0.0254)
[08/16 09:45:07] VideoClip INFO: Epoch: [6][270/400], lr: 4.94e-05, eta: 1:39:45 Time 0.623 (0.641) Data 0.011 (0.020) Loss 0.0003 (0.0245)
[08/16 09:45:13] VideoClip INFO: Epoch: [6][280/400], lr: 4.94e-05, eta: 1:39:33 Time 0.602 (0.641) Data 0.007 (0.019) Loss 0.6735 (0.0263)
[08/16 09:45:19] VideoClip INFO: Epoch: [6][290/400], lr: 4.94e-05, eta: 1:39:18 Time 0.609 (0.640) Data 0.007 (0.019) Loss 0.0016 (0.0256)
[08/16 09:45:25] VideoClip INFO: Epoch: [6][300/400], lr: 4.94e-05, eta: 1:39:05 Time 0.615 (0.639) Data 0.006 (0.019) Loss 0.0047 (0.0249)
[08/16 09:45:31] VideoClip INFO: Epoch: [6][310/400], lr: 4.94e-05, eta: 1:38:53 Time 0.616 (0.639) Data 0.006 (0.018) Loss 0.0362 (0.0264)
[08/16 09:45:38] VideoClip INFO: Epoch: [6][320/400], lr: 4.94e-05, eta: 1:38:42 Time 0.642 (0.638) Data 0.005 (0.018) Loss 0.0000 (0.0263)
[08/16 09:45:44] VideoClip INFO: Epoch: [6][330/400], lr: 4.93e-05, eta: 1:38:31 Time 0.615 (0.638) Data 0.007 (0.018) Loss 0.0021 (0.0258)
[08/16 09:45:50] VideoClip INFO: Epoch: [6][340/400], lr: 4.93e-05, eta: 1:38:21 Time 0.617 (0.637) Data 0.006 (0.017) Loss 0.0026 (0.0251)
[08/16 09:45:56] VideoClip INFO: Epoch: [6][350/400], lr: 4.93e-05, eta: 1:38:10 Time 0.613 (0.637) Data 0.008 (0.017) Loss 0.0001 (0.0248)
[08/16 09:46:03] VideoClip INFO: Epoch: [6][360/400], lr: 4.93e-05, eta: 1:38:00 Time 0.623 (0.636) Data 0.005 (0.017) Loss 0.0001 (0.0268)
[08/16 09:46:09] VideoClip INFO: Epoch: [6][370/400], lr: 4.93e-05, eta: 1:37:50 Time 0.614 (0.636) Data 0.007 (0.016) Loss 0.0000 (0.0276)
[08/16 09:46:15] VideoClip INFO: Epoch: [6][380/400], lr: 4.93e-05, eta: 1:37:39 Time 0.617 (0.635) Data 0.007 (0.016) Loss 0.0000 (0.0268)
[08/16 09:46:21] VideoClip INFO: Epoch: [6][390/400], lr: 4.92e-05, eta: 1:37:28 Time 0.607 (0.635) Data 0.009 (0.016) Loss 0.0002 (0.0262)
[08/16 09:46:34] VideoClip INFO: Epoch: [7][0/400], lr: 4.92e-05, eta: 16:34:16 Time 6.484 (6.484) Data 4.152 (4.152) Loss 0.0000 (0.0000)
[08/16 09:46:40] VideoClip INFO: Epoch: [7][10/400], lr: 4.92e-05, eta: 2:56:42 Time 0.618 (1.154) Data 0.005 (0.383) Loss 0.0004 (0.0184)
[08/16 09:46:46] VideoClip INFO: Epoch: [7][20/400], lr: 4.92e-05, eta: 2:17:43 Time 0.617 (0.900) Data 0.007 (0.204) Loss 0.0002 (0.0128)
[08/16 09:46:53] VideoClip INFO: Epoch: [7][30/400], lr: 4.92e-05, eta: 2:03:45 Time 0.614 (0.810) Data 0.006 (0.140) Loss 0.0000 (0.0236)
[08/16 09:46:59] VideoClip INFO: Epoch: [7][40/400], lr: 4.91e-05, eta: 1:56:39 Time 0.617 (0.764) Data 0.006 (0.107) Loss 0.0000 (0.0378)
[08/16 09:47:05] VideoClip INFO: Epoch: [7][50/400], lr: 4.91e-05, eta: 1:52:12 Time 0.612 (0.736) Data 0.006 (0.087) Loss 0.0000 (0.0308)
[08/16 09:47:11] VideoClip INFO: Epoch: [7][60/400], lr: 4.91e-05, eta: 1:49:10 Time 0.615 (0.717) Data 0.006 (0.074) Loss 0.0000 (0.0259)
[08/16 09:47:17] VideoClip INFO: Epoch: [7][70/400], lr: 4.91e-05, eta: 1:47:02 Time 0.613 (0.703) Data 0.005 (0.064) Loss 0.0002 (0.0223)
[08/16 09:47:24] VideoClip INFO: Epoch: [7][80/400], lr: 4.91e-05, eta: 1:45:21 Time 0.614 (0.693) Data 0.005 (0.057) Loss 0.0063 (0.0197)
[08/16 09:47:30] VideoClip INFO: Epoch: [7][90/400], lr: 4.90e-05, eta: 1:43:57 Time 0.609 (0.685) Data 0.005 (0.052) Loss 0.0000 (0.0177)
[08/16 09:47:36] VideoClip INFO: Epoch: [7][100/400], lr: 4.90e-05, eta: 1:42:50 Time 0.608 (0.678) Data 0.007 (0.047) Loss 0.0007 (0.0184)
[08/16 09:47:42] VideoClip INFO: Epoch: [7][110/400], lr: 4.90e-05, eta: 1:41:56 Time 0.611 (0.673) Data 0.009 (0.043) Loss 0.0000 (0.0191)
[08/16 09:47:48] VideoClip INFO: Epoch: [7][120/400], lr: 4.90e-05, eta: 1:41:10 Time 0.625 (0.669) Data 0.005 (0.040) Loss 0.3124 (0.0206)
[08/16 09:47:54] VideoClip INFO: Epoch: [7][130/400], lr: 4.89e-05, eta: 1:40:29 Time 0.615 (0.665) Data 0.006 (0.038) Loss 0.0058 (0.0196)
[08/16 09:48:01] VideoClip INFO: Epoch: [7][140/400], lr: 4.89e-05, eta: 1:39:52 Time 0.608 (0.661) Data 0.006 (0.036) Loss 0.0104 (0.0183)
[08/16 09:48:07] VideoClip INFO: Epoch: [7][150/400], lr: 4.89e-05, eta: 1:39:20 Time 0.613 (0.659) Data 0.006 (0.034) Loss 0.0002 (0.0187)
[08/16 09:48:13] VideoClip INFO: Epoch: [7][160/400], lr: 4.89e-05, eta: 1:38:54 Time 0.619 (0.656) Data 0.005 (0.032) Loss 0.0000 (0.0179)
[08/16 09:48:19] VideoClip INFO: Epoch: [7][170/400], lr: 4.89e-05, eta: 1:38:28 Time 0.615 (0.654) Data 0.005 (0.030) Loss 0.0006 (0.0181)
[08/16 09:48:25] VideoClip INFO: Epoch: [7][180/400], lr: 4.88e-05, eta: 1:38:04 Time 0.624 (0.652) Data 0.011 (0.029) Loss 0.0001 (0.0211)
[08/16 09:48:32] VideoClip INFO: Epoch: [7][190/400], lr: 4.88e-05, eta: 1:37:42 Time 0.615 (0.651) Data 0.006 (0.028) Loss 0.0002 (0.0215)
[08/16 09:48:38] VideoClip INFO: Epoch: [7][200/400], lr: 4.88e-05, eta: 1:37:22 Time 0.616 (0.649) Data 0.006 (0.027) Loss 0.0001 (0.0207)
[08/16 09:48:44] VideoClip INFO: Epoch: [7][210/400], lr: 4.88e-05, eta: 1:37:03 Time 0.617 (0.648) Data 0.005 (0.026) Loss 0.4117 (0.0241)
[08/16 09:48:50] VideoClip INFO: Epoch: [7][220/400], lr: 4.87e-05, eta: 1:36:44 Time 0.607 (0.646) Data 0.006 (0.025) Loss 0.0005 (0.0231)
[08/16 09:48:56] VideoClip INFO: Epoch: [7][230/400], lr: 4.87e-05, eta: 1:36:28 Time 0.608 (0.645) Data 0.006 (0.024) Loss 0.0073 (0.0237)
[08/16 09:49:03] VideoClip INFO: Epoch: [7][240/400], lr: 4.87e-05, eta: 1:36:13 Time 0.625 (0.644) Data 0.006 (0.023) Loss 0.0045 (0.0228)
[08/16 09:49:09] VideoClip INFO: Epoch: [7][250/400], lr: 4.87e-05, eta: 1:35:58 Time 0.610 (0.643) Data 0.006 (0.023) Loss 0.0001 (0.0238)
[08/16 09:49:15] VideoClip INFO: Epoch: [7][260/400], lr: 4.86e-05, eta: 1:35:43 Time 0.615 (0.642) Data 0.006 (0.022) Loss 0.0029 (0.0235)
[08/16 09:49:21] VideoClip INFO: Epoch: [7][270/400], lr: 4.86e-05, eta: 1:35:28 Time 0.614 (0.641) Data 0.006 (0.022) Loss 0.0003 (0.0226)
[08/16 09:49:27] VideoClip INFO: Epoch: [7][280/400], lr: 4.86e-05, eta: 1:35:15 Time 0.613 (0.641) Data 0.005 (0.021) Loss 0.0035 (0.0245)
[08/16 09:49:34] VideoClip INFO: Epoch: [7][290/400], lr: 4.86e-05, eta: 1:35:02 Time 0.616 (0.640) Data 0.006 (0.021) Loss 0.0000 (0.0242)
[08/16 09:49:40] VideoClip INFO: Epoch: [7][300/400], lr: 4.85e-05, eta: 1:34:49 Time 0.611 (0.639) Data 0.007 (0.020) Loss 0.0000 (0.0235)
[08/16 09:49:46] VideoClip INFO: Epoch: [7][310/400], lr: 4.85e-05, eta: 1:34:36 Time 0.609 (0.638) Data 0.006 (0.020) Loss 0.0000 (0.0228)
[08/16 09:49:52] VideoClip INFO: Epoch: [7][320/400], lr: 4.85e-05, eta: 1:34:25 Time 0.612 (0.638) Data 0.005 (0.019) Loss 0.3294 (0.0233)
[08/16 09:49:58] VideoClip INFO: Epoch: [7][330/400], lr: 4.84e-05, eta: 1:34:13 Time 0.610 (0.637) Data 0.007 (0.019) Loss 0.0008 (0.0227)
[08/16 09:50:05] VideoClip INFO: Epoch: [7][340/400], lr: 4.84e-05, eta: 1:34:02 Time 0.617 (0.637) Data 0.006 (0.018) Loss 0.0188 (0.0230)
[08/16 09:50:11] VideoClip INFO: Epoch: [7][350/400], lr: 4.84e-05, eta: 1:33:51 Time 0.614 (0.636) Data 0.005 (0.018) Loss 0.0000 (0.0224)
[08/16 09:50:17] VideoClip INFO: Epoch: [7][360/400], lr: 4.84e-05, eta: 1:33:42 Time 0.628 (0.636) Data 0.005 (0.018) Loss 0.0000 (0.0219)
[08/16 09:50:23] VideoClip INFO: Epoch: [7][370/400], lr: 4.83e-05, eta: 1:33:31 Time 0.608 (0.635) Data 0.006 (0.017) Loss 0.0010 (0.0218)
[08/16 09:50:29] VideoClip INFO: Epoch: [7][380/400], lr: 4.83e-05, eta: 1:33:22 Time 0.619 (0.635) Data 0.006 (0.017) Loss 0.0218 (0.0219)
[08/16 09:50:36] VideoClip INFO: Epoch: [7][390/400], lr: 4.83e-05, eta: 1:33:13 Time 0.610 (0.635) Data 0.007 (0.017) Loss 0.0001 (0.0215)
[08/16 09:50:48] VideoClip INFO: Epoch: [8][0/400], lr: 4.82e-05, eta: 15:00:58 Time 6.142 (6.142) Data 3.900 (3.900) Loss 0.0043 (0.0043)
[08/16 09:50:54] VideoClip INFO: Epoch: [8][10/400], lr: 4.82e-05, eta: 2:44:53 Time 0.620 (1.125) Data 0.013 (0.363) Loss 0.0719 (0.0405)
[08/16 09:51:01] VideoClip INFO: Epoch: [8][20/400], lr: 4.82e-05, eta: 2:09:54 Time 0.623 (0.888) Data 0.006 (0.194) Loss 0.0002 (0.0360)
[08/16 09:51:07] VideoClip INFO: Epoch: [8][30/400], lr: 4.82e-05, eta: 1:57:10 Time 0.622 (0.802) Data 0.010 (0.134) Loss 0.0000 (0.0245)
[08/16 09:51:13] VideoClip INFO: Epoch: [8][40/400], lr: 4.81e-05, eta: 1:50:47 Time 0.636 (0.759) Data 0.012 (0.103) Loss 0.0000 (0.0224)
[08/16 09:51:19] VideoClip INFO: Epoch: [8][50/400], lr: 4.81e-05, eta: 1:46:41 Time 0.614 (0.731) Data 0.007 (0.085) Loss 0.0000 (0.0202)
[08/16 09:51:25] VideoClip INFO: Epoch: [8][60/400], lr: 4.81e-05, eta: 1:43:56 Time 0.614 (0.713) Data 0.012 (0.072) Loss 0.0002 (0.0195)
[08/16 09:51:32] VideoClip INFO: Epoch: [8][70/400], lr: 4.80e-05, eta: 1:41:56 Time 0.615 (0.700) Data 0.007 (0.064) Loss 0.0000 (0.0199)
[08/16 09:51:38] VideoClip INFO: Epoch: [8][80/400], lr: 4.80e-05, eta: 1:40:24 Time 0.609 (0.691) Data 0.007 (0.057) Loss 0.0001 (0.0202)
[08/16 09:51:44] VideoClip INFO: Epoch: [8][90/400], lr: 4.80e-05, eta: 1:39:09 Time 0.619 (0.683) Data 0.006 (0.052) Loss 0.0000 (0.0180)
[08/16 09:51:50] VideoClip INFO: Epoch: [8][100/400], lr: 4.79e-05, eta: 1:38:08 Time 0.609 (0.677) Data 0.006 (0.047) Loss 0.0000 (0.0165)
[08/16 09:51:57] VideoClip INFO: Epoch: [8][110/400], lr: 4.79e-05, eta: 1:37:16 Time 0.623 (0.672) Data 0.006 (0.044) Loss 0.0009 (0.0151)
[08/16 09:52:03] VideoClip INFO: Epoch: [8][120/400], lr: 4.79e-05, eta: 1:36:35 Time 0.614 (0.668) Data 0.006 (0.041) Loss 0.0000 (0.0155)
[08/16 09:52:09] VideoClip INFO: Epoch: [8][130/400], lr: 4.79e-05, eta: 1:35:59 Time 0.625 (0.664) Data 0.010 (0.038) Loss 0.0010 (0.0193)
[08/16 09:52:15] VideoClip INFO: Epoch: [8][140/400], lr: 4.78e-05, eta: 1:35:24 Time 0.609 (0.661) Data 0.007 (0.036) Loss 0.0061 (0.0196)
[08/16 09:52:21] VideoClip INFO: Epoch: [8][150/400], lr: 4.78e-05, eta: 1:34:53 Time 0.608 (0.658) Data 0.006 (0.034) Loss 0.0000 (0.0183)
[08/16 09:52:28] VideoClip INFO: Epoch: [8][160/400], lr: 4.78e-05, eta: 1:34:28 Time 0.611 (0.656) Data 0.008 (0.032) Loss 0.0000 (0.0206)
[08/16 09:52:34] VideoClip INFO: Epoch: [8][170/400], lr: 4.77e-05, eta: 1:34:02 Time 0.617 (0.654) Data 0.005 (0.031) Loss 0.0000 (0.0194)
[08/16 09:52:40] VideoClip INFO: Epoch: [8][180/400], lr: 4.77e-05, eta: 1:33:41 Time 0.611 (0.652) Data 0.006 (0.030) Loss 0.0000 (0.0184)
[08/16 09:52:46] VideoClip INFO: Epoch: [8][190/400], lr: 4.77e-05, eta: 1:33:19 Time 0.611 (0.650) Data 0.009 (0.029) Loss 0.0041 (0.0183)
[08/16 09:52:52] VideoClip INFO: Epoch: [8][200/400], lr: 4.76e-05, eta: 1:33:03 Time 0.630 (0.649) Data 0.007 (0.027) Loss 0.0001 (0.0177)
[08/16 09:52:59] VideoClip INFO: Epoch: [8][210/400], lr: 4.76e-05, eta: 1:32:43 Time 0.613 (0.648) Data 0.007 (0.027) Loss 0.0000 (0.0169)
[08/16 09:53:05] VideoClip INFO: Epoch: [8][220/400], lr: 4.76e-05, eta: 1:32:26 Time 0.619 (0.646) Data 0.012 (0.026) Loss 0.0000 (0.0183)
[08/16 09:53:11] VideoClip INFO: Epoch: [8][230/400], lr: 4.75e-05, eta: 1:32:08 Time 0.612 (0.645) Data 0.008 (0.025) Loss 0.0000 (0.0175)
[08/16 09:53:17] VideoClip INFO: Epoch: [8][240/400], lr: 4.75e-05, eta: 1:31:55 Time 0.627 (0.644) Data 0.011 (0.024) Loss 0.0000 (0.0173)
[08/16 09:53:23] VideoClip INFO: Epoch: [8][250/400], lr: 4.75e-05, eta: 1:31:39 Time 0.611 (0.643) Data 0.007 (0.024) Loss 0.0006 (0.0168)
[08/16 09:53:30] VideoClip INFO: Epoch: [8][260/400], lr: 4.74e-05, eta: 1:31:25 Time 0.616 (0.642) Data 0.008 (0.023) Loss 0.0026 (0.0163)
[08/16 09:53:36] VideoClip INFO: Epoch: [8][270/400], lr: 4.74e-05, eta: 1:31:12 Time 0.610 (0.641) Data 0.006 (0.023) Loss 0.0000 (0.0160)
[08/16 09:53:42] VideoClip INFO: Epoch: [8][280/400], lr: 4.73e-05, eta: 1:31:00 Time 0.627 (0.641) Data 0.012 (0.022) Loss 0.0000 (0.0157)
[08/16 09:53:48] VideoClip INFO: Epoch: [8][290/400], lr: 4.73e-05, eta: 1:30:48 Time 0.618 (0.640) Data 0.009 (0.022) Loss 0.0000 (0.0162)
[08/16 09:53:54] VideoClip INFO: Epoch: [8][300/400], lr: 4.73e-05, eta: 1:30:35 Time 0.615 (0.639) Data 0.009 (0.021) Loss 0.0005 (0.0164)
[08/16 09:54:01] VideoClip INFO: Epoch: [8][310/400], lr: 4.72e-05, eta: 1:30:23 Time 0.610 (0.639) Data 0.006 (0.021) Loss 0.0017 (0.0159)
[08/16 09:54:07] VideoClip INFO: Epoch: [8][320/400], lr: 4.72e-05, eta: 1:30:13 Time 0.610 (0.638) Data 0.010 (0.020) Loss 0.0202 (0.0156)
[08/16 09:54:13] VideoClip INFO: Epoch: [8][330/400], lr: 4.72e-05, eta: 1:30:03 Time 0.623 (0.638) Data 0.006 (0.020) Loss 0.0010 (0.0158)
[08/16 09:54:19] VideoClip INFO: Epoch: [8][340/400], lr: 4.71e-05, eta: 1:29:52 Time 0.610 (0.637) Data 0.009 (0.020) Loss 0.0001 (0.0153)
[08/16 09:54:25] VideoClip INFO: Epoch: [8][350/400], lr: 4.71e-05, eta: 1:29:41 Time 0.624 (0.637) Data 0.008 (0.019) Loss 0.0256 (0.0150)
[08/16 09:54:32] VideoClip INFO: Epoch: [8][360/400], lr: 4.71e-05, eta: 1:29:32 Time 0.625 (0.636) Data 0.006 (0.019) Loss 0.0000 (0.0148)
[08/16 09:54:38] VideoClip INFO: Epoch: [8][370/400], lr: 4.70e-05, eta: 1:29:21 Time 0.608 (0.636) Data 0.008 (0.019) Loss 0.0041 (0.0160)
[08/16 09:54:44] VideoClip INFO: Epoch: [8][380/400], lr: 4.70e-05, eta: 1:29:10 Time 0.610 (0.635) Data 0.006 (0.018) Loss 0.0010 (0.0156)
[08/16 09:54:50] VideoClip INFO: Epoch: [8][390/400], lr: 4.69e-05, eta: 1:29:00 Time 0.614 (0.635) Data 0.007 (0.018) Loss 0.0002 (0.0153)
[08/16 09:55:03] VideoClip INFO: Epoch: [9][0/400], lr: 4.69e-05, eta: 15:05:56 Time 6.470 (6.470) Data 4.034 (4.034) Loss 0.0001 (0.0001)
[08/16 09:55:09] VideoClip INFO: Epoch: [9][10/400], lr: 4.69e-05, eta: 2:41:22 Time 0.612 (1.154) Data 0.007 (0.375) Loss 0.0098 (0.0155)
[08/16 09:55:15] VideoClip INFO: Epoch: [9][20/400], lr: 4.68e-05, eta: 2:05:40 Time 0.615 (0.900) Data 0.007 (0.200) Loss 0.0000 (0.0116)
[08/16 09:55:22] VideoClip INFO: Epoch: [9][30/400], lr: 4.68e-05, eta: 1:52:59 Time 0.606 (0.810) Data 0.008 (0.139) Loss 0.0001 (0.0081)
[08/16 09:55:28] VideoClip INFO: Epoch: [9][40/400], lr: 4.68e-05, eta: 1:46:41 Time 0.638 (0.766) Data 0.005 (0.107) Loss 0.0000 (0.0122)
[08/16 09:55:34] VideoClip INFO: Epoch: [9][50/400], lr: 4.67e-05, eta: 1:42:34 Time 0.620 (0.737) Data 0.006 (0.088) Loss 0.0103 (0.0101)
[08/16 09:55:40] VideoClip INFO: Epoch: [9][60/400], lr: 4.67e-05, eta: 1:39:46 Time 0.609 (0.718) Data 0.006 (0.075) Loss 0.2542 (0.0128)
[08/16 09:55:47] VideoClip INFO: Epoch: [9][70/400], lr: 4.66e-05, eta: 1:37:43 Time 0.614 (0.704) Data 0.006 (0.065) Loss 0.0042 (0.0117)
[08/16 09:55:53] VideoClip INFO: Epoch: [9][80/400], lr: 4.66e-05, eta: 1:36:17 Time 0.631 (0.694) Data 0.007 (0.058) Loss 0.0369 (0.0115)
[08/16 09:55:59] VideoClip INFO: Epoch: [9][90/400], lr: 4.66e-05, eta: 1:35:02 Time 0.621 (0.686) Data 0.012 (0.053) Loss 0.0005 (0.0107)
[08/16 09:56:05] VideoClip INFO: Epoch: [9][100/400], lr: 4.65e-05, eta: 1:34:02 Time 0.623 (0.680) Data 0.008 (0.048) Loss 0.1938 (0.0172)
[08/16 09:56:11] VideoClip INFO: Epoch: [9][110/400], lr: 4.65e-05, eta: 1:33:09 Time 0.613 (0.674) Data 0.008 (0.045) Loss 0.0060 (0.0179)
[08/16 09:56:18] VideoClip INFO: Epoch: [9][120/400], lr: 4.64e-05, eta: 1:32:32 Time 0.620 (0.671) Data 0.006 (0.042) Loss 0.0000 (0.0168)
[08/16 09:56:24] VideoClip INFO: Epoch: [9][130/400], lr: 4.64e-05, eta: 1:31:53 Time 0.609 (0.667) Data 0.006 (0.039) Loss 0.0132 (0.0156)
[08/16 09:56:30] VideoClip INFO: Epoch: [9][140/400], lr: 4.64e-05, eta: 1:31:20 Time 0.617 (0.663) Data 0.008 (0.037) Loss 0.0079 (0.0165)
[08/16 09:56:36] VideoClip INFO: Epoch: [9][150/400], lr: 4.63e-05, eta: 1:30:49 Time 0.606 (0.660) Data 0.006 (0.035) Loss 0.0001 (0.0179)
[08/16 09:56:43] VideoClip INFO: Epoch: [9][160/400], lr: 4.63e-05, eta: 1:30:24 Time 0.639 (0.658) Data 0.007 (0.033) Loss 0.0015 (0.0209)
[08/16 09:56:49] VideoClip INFO: Epoch: [9][170/400], lr: 4.62e-05, eta: 1:29:59 Time 0.618 (0.656) Data 0.006 (0.032) Loss 0.0000 (0.0198)
[08/16 09:56:55] VideoClip INFO: Epoch: [9][180/400], lr: 4.62e-05, eta: 1:29:36 Time 0.616 (0.654) Data 0.008 (0.031) Loss 0.0000 (0.0187)
[08/16 09:57:01] VideoClip INFO: Epoch: [9][190/400], lr: 4.62e-05, eta: 1:29:14 Time 0.617 (0.652) Data 0.006 (0.029) Loss 0.0011 (0.0190)
[08/16 09:57:07] VideoClip INFO: Epoch: [9][200/400], lr: 4.61e-05, eta: 1:28:55 Time 0.619 (0.651) Data 0.007 (0.028) Loss 0.0000 (0.0191)
[08/16 09:57:13] VideoClip INFO: Epoch: [9][210/400], lr: 4.61e-05, eta: 1:28:35 Time 0.618 (0.649) Data 0.006 (0.027) Loss 0.0000 (0.0186)
[08/16 09:57:20] VideoClip INFO: Epoch: [9][220/400], lr: 4.60e-05, eta: 1:28:18 Time 0.615 (0.648) Data 0.009 (0.026) Loss 0.0002 (0.0178)
[08/16 09:57:26] VideoClip INFO: Epoch: [9][230/400], lr: 4.60e-05, eta: 1:28:01 Time 0.612 (0.646) Data 0.006 (0.026) Loss 0.0293 (0.0172)
[08/16 09:57:32] VideoClip INFO: Epoch: [9][240/400], lr: 4.59e-05, eta: 1:27:47 Time 0.624 (0.645) Data 0.006 (0.025) Loss 0.0000 (0.0172)
[08/16 09:57:38] VideoClip INFO: Epoch: [9][250/400], lr: 4.59e-05, eta: 1:27:32 Time 0.617 (0.644) Data 0.006 (0.024) Loss 0.0056 (0.0166)
[08/16 09:57:45] VideoClip INFO: Epoch: [9][260/400], lr: 4.59e-05, eta: 1:27:18 Time 0.610 (0.643) Data 0.009 (0.024) Loss 0.0000 (0.0160)
[08/16 09:57:51] VideoClip INFO: Epoch: [9][270/400], lr: 4.58e-05, eta: 1:27:03 Time 0.608 (0.642) Data 0.006 (0.023) Loss 0.0000 (0.0157)
[08/16 09:57:57] VideoClip INFO: Epoch: [9][280/400], lr: 4.58e-05, eta: 1:26:52 Time 0.638 (0.642) Data 0.007 (0.022) Loss 0.0000 (0.0151)
[08/16 09:58:03] VideoClip INFO: Epoch: [9][290/400], lr: 4.57e-05, eta: 1:26:40 Time 0.608 (0.641) Data 0.006 (0.022) Loss 0.0047 (0.0169)
[08/16 09:58:09] VideoClip INFO: Epoch: [9][300/400], lr: 4.57e-05, eta: 1:26:28 Time 0.612 (0.640) Data 0.009 (0.022) Loss 0.0001 (0.0174)
[08/16 09:58:15] VideoClip INFO: Epoch: [9][310/400], lr: 4.56e-05, eta: 1:26:15 Time 0.607 (0.640) Data 0.005 (0.021) Loss 0.0027 (0.0174)
[08/16 09:58:22] VideoClip INFO: Epoch: [9][320/400], lr: 4.56e-05, eta: 1:26:04 Time 0.619 (0.639) Data 0.006 (0.021) Loss 0.0000 (0.0170)
[08/16 09:58:28] VideoClip INFO: Epoch: [9][330/400], lr: 4.55e-05, eta: 1:25:53 Time 0.619 (0.639) Data 0.007 (0.020) Loss 0.0000 (0.0179)
[08/16 09:58:34] VideoClip INFO: Epoch: [9][340/400], lr: 4.55e-05, eta: 1:25:42 Time 0.609 (0.638) Data 0.010 (0.020) Loss 0.0001 (0.0182)
[08/16 09:58:40] VideoClip INFO: Epoch: [9][350/400], lr: 4.55e-05, eta: 1:25:32 Time 0.617 (0.638) Data 0.010 (0.020) Loss 0.0031 (0.0178)
[08/16 09:58:47] VideoClip INFO: Epoch: [9][360/400], lr: 4.54e-05, eta: 1:25:23 Time 0.610 (0.637) Data 0.007 (0.019) Loss 0.0000 (0.0174)
[08/16 09:58:53] VideoClip INFO: Epoch: [9][370/400], lr: 4.54e-05, eta: 1:25:11 Time 0.608 (0.637) Data 0.006 (0.019) Loss 0.0000 (0.0169)
[08/16 09:58:59] VideoClip INFO: Epoch: [9][380/400], lr: 4.53e-05, eta: 1:25:01 Time 0.608 (0.636) Data 0.008 (0.019) Loss 0.0003 (0.0170)
[08/16 09:59:05] VideoClip INFO: Epoch: [9][390/400], lr: 4.53e-05, eta: 1:24:51 Time 0.608 (0.636) Data 0.008 (0.018) Loss 0.0039 (0.0168)
[08/16 09:59:16] VideoClip INFO: Test: [0/154] Prec@1 93.750 (93.750) Prec@5 100.000 (100.000)
[08/16 09:59:18] VideoClip INFO: Test: [10/154] Prec@1 96.875 (92.330) Prec@5 100.000 (98.864)
[08/16 09:59:20] VideoClip INFO: Test: [20/154] Prec@1 93.750 (91.518) Prec@5 100.000 (99.107)
[08/16 09:59:22] VideoClip INFO: Test: [30/154] Prec@1 90.625 (92.238) Prec@5 100.000 (99.395)
[08/16 09:59:24] VideoClip INFO: Test: [40/154] Prec@1 90.625 (92.149) Prec@5 100.000 (99.314)
[08/16 09:59:25] VideoClip INFO: Test: [50/154] Prec@1 84.375 (91.973) Prec@5 100.000 (99.265)
[08/16 09:59:27] VideoClip INFO: Test: [60/154] Prec@1 93.750 (91.906) Prec@5 96.875 (99.180)
[08/16 09:59:29] VideoClip INFO: Test: [70/154] Prec@1 96.875 (91.945) Prec@5 100.000 (99.164)
[08/16 09:59:31] VideoClip INFO: Test: [80/154] Prec@1 84.375 (92.130) Prec@5 100.000 (99.267)
[08/16 09:59:32] VideoClip INFO: Test: [90/154] Prec@1 96.875 (92.170) Prec@5 100.000 (99.279)
[08/16 09:59:34] VideoClip INFO: Test: [100/154] Prec@1 93.750 (92.296) Prec@5 100.000 (99.319)
[08/16 09:59:36] VideoClip INFO: Test: [110/154] Prec@1 96.875 (92.286) Prec@5 100.000 (99.352)
[08/16 09:59:38] VideoClip INFO: Test: [120/154] Prec@1 96.875 (92.200) Prec@5 100.000 (99.277)
[08/16 09:59:39] VideoClip INFO: Test: [130/154] Prec@1 84.375 (92.128) Prec@5 96.875 (99.237)
[08/16 09:59:41] VideoClip INFO: Test: [140/154] Prec@1 84.375 (91.955) Prec@5 93.750 (99.224)
[08/16 09:59:43] VideoClip INFO: Test: [150/154] Prec@1 93.750 (91.867) Prec@5 100.000 (99.214)
[08/16 09:59:44] VideoClip INFO: Testing Results: Prec@1 91.903 Prec@5 99.209
[08/16 09:59:44] VideoClip INFO: Testing: 91.9034090909091/92.37012987012987
[08/16 09:59:44] VideoClip INFO: Saving:
[08/16 10:00:42] VideoClip INFO: Epoch: [10][0/400], lr: 4.52e-05, eta: 4:46:13 Time 2.146 (2.146) Data 1.568 (1.568) Loss 0.2077 (0.2077)
[08/16 10:00:48] VideoClip INFO: Epoch: [10][10/400], lr: 4.52e-05, eta: 1:41:26 Time 0.617 (0.762) Data 0.008 (0.150) Loss 0.0001 (0.0822)
[08/16 10:00:55] VideoClip INFO: Epoch: [10][20/400], lr: 4.51e-05, eta: 1:32:28 Time 0.618 (0.695) Data 0.011 (0.082) Loss 0.0001 (0.0470)
[08/16 10:01:01] VideoClip INFO: Epoch: [10][30/400], lr: 4.51e-05, eta: 1:29:15 Time 0.629 (0.672) Data 0.006 (0.058) Loss 0.0054 (0.0322)
[08/16 10:01:07] VideoClip INFO: Epoch: [10][40/400], lr: 4.50e-05, eta: 1:27:39 Time 0.625 (0.661) Data 0.004 (0.045) Loss 0.0002 (0.0249)
[08/16 10:01:13] VideoClip INFO: Epoch: [10][50/400], lr: 4.50e-05, eta: 1:26:30 Time 0.617 (0.653) Data 0.007 (0.037) Loss 0.0005 (0.0235)
[08/16 10:01:20] VideoClip INFO: Epoch: [10][60/400], lr: 4.49e-05, eta: 1:25:37 Time 0.609 (0.647) Data 0.005 (0.032) Loss 0.0000 (0.0197)
[08/16 10:01:26] VideoClip INFO: Epoch: [10][70/400], lr: 4.49e-05, eta: 1:25:01 Time 0.610 (0.643) Data 0.011 (0.029) Loss 0.0031 (0.0230)
[08/16 10:01:32] VideoClip INFO: Epoch: [10][80/400], lr: 4.49e-05, eta: 1:24:40 Time 0.627 (0.641) Data 0.005 (0.026) Loss 0.0000 (0.0223)
[08/16 10:01:38] VideoClip INFO: Epoch: [10][90/400], lr: 4.48e-05, eta: 1:24:17 Time 0.615 (0.639) Data 0.008 (0.024) Loss 0.0101 (0.0200)
[08/16 10:01:44] VideoClip INFO: Epoch: [10][100/400], lr: 4.48e-05, eta: 1:23:56 Time 0.616 (0.637) Data 0.006 (0.022) Loss 0.0001 (0.0188)
[08/16 10:01:51] VideoClip INFO: Epoch: [10][110/400], lr: 4.47e-05, eta: 1:23:41 Time 0.621 (0.636) Data 0.006 (0.021) Loss 0.0282 (0.0186)
[08/16 10:01:57] VideoClip INFO: Epoch: [10][120/400], lr: 4.47e-05, eta: 1:23:27 Time 0.619 (0.635) Data 0.005 (0.019) Loss 0.0003 (0.0171)
[08/16 10:02:03] VideoClip INFO: Epoch: [10][130/400], lr: 4.46e-05, eta: 1:23:11 Time 0.608 (0.634) Data 0.005 (0.018) Loss 0.0002 (0.0160)
[08/16 10:02:09] VideoClip INFO: Epoch: [10][140/400], lr: 4.46e-05, eta: 1:22:57 Time 0.611 (0.633) Data 0.006 (0.018) Loss 0.0025 (0.0160)
[08/16 10:02:16] VideoClip INFO: Epoch: [10][150/400], lr: 4.45e-05, eta: 1:22:43 Time 0.609 (0.632) Data 0.007 (0.017) Loss 0.0028 (0.0176)
[08/16 10:02:22] VideoClip INFO: Epoch: [10][160/400], lr: 4.45e-05, eta: 1:22:34 Time 0.620 (0.632) Data 0.007 (0.016) Loss 0.0000 (0.0174)
[08/16 10:02:28] VideoClip INFO: Epoch: [10][170/400], lr: 4.44e-05, eta: 1:22:22 Time 0.616 (0.631) Data 0.005 (0.016) Loss 0.0000 (0.0165)
[08/16 10:02:34] VideoClip INFO: Epoch: [10][180/400], lr: 4.44e-05, eta: 1:22:11 Time 0.620 (0.631) Data 0.010 (0.015) Loss 0.0000 (0.0167)
[08/16 10:02:40] VideoClip INFO: Epoch: [10][190/400], lr: 4.43e-05, eta: 1:21:59 Time 0.611 (0.630) Data 0.007 (0.015) Loss 0.0000 (0.0200)
[08/16 10:02:47] VideoClip INFO: Epoch: [10][200/400], lr: 4.43e-05, eta: 1:21:51 Time 0.626 (0.630) Data 0.005 (0.014) Loss 0.0305 (0.0197)
[08/16 10:02:53] VideoClip INFO: Epoch: [10][210/400], lr: 4.42e-05, eta: 1:21:42 Time 0.621 (0.629) Data 0.006 (0.014) Loss 0.0004 (0.0189)
[08/16 10:02:59] VideoClip INFO: Epoch: [10][220/400], lr: 4.42e-05, eta: 1:21:33 Time 0.614 (0.629) Data 0.006 (0.014) Loss 0.0019 (0.0181)
[08/16 10:03:05] VideoClip INFO: Epoch: [10][230/400], lr: 4.41e-05, eta: 1:21:24 Time 0.616 (0.629) Data 0.006 (0.013) Loss 0.0005 (0.0184)
[08/16 10:03:12] VideoClip INFO: Epoch: [10][240/400], lr: 4.41e-05, eta: 1:21:17 Time 0.619 (0.628) Data 0.006 (0.013) Loss 0.0064 (0.0178)
[08/16 10:03:18] VideoClip INFO: Epoch: [10][250/400], lr: 4.40e-05, eta: 1:21:08 Time 0.612 (0.628) Data 0.006 (0.013) Loss 0.0000 (0.0205)
[08/16 10:03:24] VideoClip INFO: Epoch: [10][260/400], lr: 4.40e-05, eta: 1:20:59 Time 0.607 (0.628) Data 0.008 (0.013) Loss 0.0000 (0.0209)
[08/16 10:03:30] VideoClip INFO: Epoch: [10][270/400], lr: 4.39e-05, eta: 1:20:50 Time 0.614 (0.627) Data 0.007 (0.012) Loss 0.0002 (0.0201)
[08/16 10:03:36] VideoClip INFO: Epoch: [10][280/400], lr: 4.39e-05, eta: 1:20:42 Time 0.620 (0.627) Data 0.011 (0.012) Loss 0.0000 (0.0196)
[08/16 10:03:43] VideoClip INFO: Epoch: [10][290/400], lr: 4.38e-05, eta: 1:20:34 Time 0.609 (0.627) Data 0.008 (0.012) Loss 0.0000 (0.0189)
[08/16 10:03:49] VideoClip INFO: Epoch: [10][300/400], lr: 4.38e-05, eta: 1:20:26 Time 0.619 (0.627) Data 0.007 (0.012) Loss 0.0360 (0.0209)
[08/16 10:03:55] VideoClip INFO: Epoch: [10][310/400], lr: 4.37e-05, eta: 1:20:18 Time 0.608 (0.627) Data 0.007 (0.012) Loss 0.0000 (0.0203)
[08/16 10:04:01] VideoClip INFO: Epoch: [10][320/400], lr: 4.37e-05, eta: 1:20:12 Time 0.667 (0.627) Data 0.005 (0.011) Loss 0.0000 (0.0201)
[08/16 10:04:07] VideoClip INFO: Epoch: [10][330/400], lr: 4.36e-05, eta: 1:20:04 Time 0.613 (0.626) Data 0.007 (0.011) Loss 0.0006 (0.0195)
[08/16 10:04:14] VideoClip INFO: Epoch: [10][340/400], lr: 4.35e-05, eta: 1:19:57 Time 0.615 (0.626) Data 0.006 (0.011) Loss 0.0217 (0.0191)
[08/16 10:04:20] VideoClip INFO: Epoch: [10][350/400], lr: 4.35e-05, eta: 1:19:49 Time 0.613 (0.626) Data 0.007 (0.011) Loss 0.0000 (0.0185)
[08/16 10:04:26] VideoClip INFO: Epoch: [10][360/400], lr: 4.34e-05, eta: 1:19:42 Time 0.634 (0.626) Data 0.004 (0.011) Loss 0.0322 (0.0182)
[08/16 10:04:32] VideoClip INFO: Epoch: [10][370/400], lr: 4.34e-05, eta: 1:19:35 Time 0.613 (0.626) Data 0.008 (0.011) Loss 0.0017 (0.0188)
[08/16 10:04:38] VideoClip INFO: Epoch: [10][380/400], lr: 4.33e-05, eta: 1:19:26 Time 0.619 (0.625) Data 0.006 (0.011) Loss 0.0000 (0.0184)
[08/16 10:04:45] VideoClip INFO: Epoch: [10][390/400], lr: 4.33e-05, eta: 1:19:18 Time 0.622 (0.625) Data 0.006 (0.011) Loss 0.0002 (0.0179)
[08/16 10:04:57] VideoClip INFO: Epoch: [11][0/400], lr: 4.32e-05, eta: 12:17:34 Time 5.822 (5.822) Data 2.508 (2.508) Loss 0.0003 (0.0003)
[08/16 10:05:03] VideoClip INFO: Epoch: [11][10/400], lr: 4.32e-05, eta: 2:18:26 Time 0.614 (1.094) Data 0.010 (0.235) Loss 0.0001 (0.0005)
[08/16 10:05:09] VideoClip INFO: Epoch: [11][20/400], lr: 4.31e-05, eta: 1:49:57 Time 0.622 (0.870) Data 0.006 (0.127) Loss 0.0001 (0.0004)
[08/16 10:05:15] VideoClip INFO: Epoch: [11][30/400], lr: 4.31e-05, eta: 1:39:41 Time 0.613 (0.790) Data 0.007 (0.089) Loss 0.0000 (0.0199)
[08/16 10:05:22] VideoClip INFO: Epoch: [11][40/400], lr: 4.30e-05, eta: 1:34:30 Time 0.644 (0.750) Data 0.013 (0.069) Loss 0.0000 (0.0173)
[08/16 10:05:28] VideoClip INFO: Epoch: [11][50/400], lr: 4.30e-05, eta: 1:31:08 Time 0.621 (0.724) Data 0.013 (0.058) Loss 0.0003 (0.0157)
[08/16 10:05:34] VideoClip INFO: Epoch: [11][60/400], lr: 4.29e-05, eta: 1:28:54 Time 0.614 (0.707) Data 0.006 (0.050) Loss 0.0007 (0.0226)
[08/16 10:05:40] VideoClip INFO: Epoch: [11][70/400], lr: 4.28e-05, eta: 1:27:15 Time 0.618 (0.695) Data 0.006 (0.044) Loss 0.0000 (0.0194)
[08/16 10:05:47] VideoClip INFO: Epoch: [11][80/400], lr: 4.28e-05, eta: 1:26:01 Time 0.622 (0.686) Data 0.005 (0.039) Loss 0.0000 (0.0174)
[08/16 10:05:53] VideoClip INFO: Epoch: [11][90/400], lr: 4.27e-05, eta: 1:25:01 Time 0.620 (0.679) Data 0.012 (0.036) Loss 0.0001 (0.0163)
[08/16 10:05:59] VideoClip INFO: Epoch: [11][100/400], lr: 4.27e-05, eta: 1:24:13 Time 0.613 (0.674) Data 0.005 (0.033) Loss 0.0001 (0.0154)
[08/16 10:06:05] VideoClip INFO: Epoch: [11][110/400], lr: 4.26e-05, eta: 1:23:31 Time 0.613 (0.669) Data 0.012 (0.031) Loss 0.0000 (0.0147)
[08/16 10:06:11] VideoClip INFO: Epoch: [11][120/400], lr: 4.26e-05, eta: 1:22:56 Time 0.641 (0.665) Data 0.005 (0.029) Loss 0.0365 (0.0138)
[08/16 10:06:18] VideoClip INFO: Epoch: [11][130/400], lr: 4.25e-05, eta: 1:22:23 Time 0.612 (0.662) Data 0.006 (0.027) Loss 0.0080 (0.0175)
[08/16 10:06:24] VideoClip INFO: Epoch: [11][140/400], lr: 4.25e-05, eta: 1:21:55 Time 0.608 (0.659) Data 0.009 (0.025) Loss 0.0053 (0.0168)
[08/16 10:06:30] VideoClip INFO: Epoch: [11][150/400], lr: 4.24e-05, eta: 1:21:30 Time 0.607 (0.656) Data 0.006 (0.024) Loss 0.0002 (0.0174)
[08/16 10:06:36] VideoClip INFO: Epoch: [11][160/400], lr: 4.23e-05, eta: 1:21:09 Time 0.628 (0.654) Data 0.005 (0.023) Loss 0.0000 (0.0184)
[08/16 10:06:42] VideoClip INFO: Epoch: [11][170/400], lr: 4.23e-05, eta: 1:20:46 Time 0.608 (0.652) Data 0.008 (0.022) Loss 0.0000 (0.0177)
[08/16 10:06:49] VideoClip INFO: Epoch: [11][180/400], lr: 4.22e-05, eta: 1:20:27 Time 0.619 (0.651) Data 0.006 (0.021) Loss 0.0001 (0.0167)
[08/16 10:06:55] VideoClip INFO: Epoch: [11][190/400], lr: 4.22e-05, eta: 1:20:09 Time 0.610 (0.649) Data 0.008 (0.021) Loss 0.3945 (0.0180)
[08/16 10:07:01] VideoClip INFO: Epoch: [11][200/400], lr: 4.21e-05, eta: 1:19:54 Time 0.637 (0.648) Data 0.005 (0.020) Loss 0.0019 (0.0171)
[08/16 10:07:07] VideoClip INFO: Epoch: [11][210/400], lr: 4.21e-05, eta: 1:19:38 Time 0.615 (0.647) Data 0.007 (0.019) Loss 0.0334 (0.0172)
[08/16 10:07:14] VideoClip INFO: Epoch: [11][220/400], lr: 4.20e-05, eta: 1:19:23 Time 0.610 (0.645) Data 0.006 (0.019) Loss 0.0043 (0.0175)
[08/16 10:07:20] VideoClip INFO: Epoch: [11][230/400], lr: 4.19e-05, eta: 1:19:09 Time 0.616 (0.644) Data 0.006 (0.018) Loss 0.0000 (0.0176)
[08/16 10:07:26] VideoClip INFO: Epoch: [11][240/400], lr: 4.19e-05, eta: 1:18:55 Time 0.636 (0.643) Data 0.006 (0.018) Loss 0.0005 (0.0175)
[08/16 10:07:32] VideoClip INFO: Epoch: [11][250/400], lr: 4.18e-05, eta: 1:18:42 Time 0.620 (0.642) Data 0.006 (0.017) Loss 0.0000 (0.0169)
[08/16 10:07:38] VideoClip INFO: Epoch: [11][260/400], lr: 4.18e-05, eta: 1:18:29 Time 0.623 (0.642) Data 0.011 (0.017) Loss 0.0020 (0.0163)
[08/16 10:07:45] VideoClip INFO: Epoch: [11][270/400], lr: 4.17e-05, eta: 1:18:17 Time 0.619 (0.641) Data 0.007 (0.016) Loss 0.0000 (0.0157)
[08/16 10:07:51] VideoClip INFO: Epoch: [11][280/400], lr: 4.17e-05, eta: 1:18:05 Time 0.619 (0.640) Data 0.005 (0.016) Loss 0.0000 (0.0152)
[08/16 10:07:57] VideoClip INFO: Epoch: [11][290/400], lr: 4.16e-05, eta: 1:17:54 Time 0.612 (0.639) Data 0.006 (0.016) Loss 0.0000 (0.0147)
[08/16 10:08:03] VideoClip INFO: Epoch: [11][300/400], lr: 4.15e-05, eta: 1:17:43 Time 0.612 (0.639) Data 0.006 (0.015) Loss 0.0001 (0.0170)
[08/16 10:08:09] VideoClip INFO: Epoch: [11][310/400], lr: 4.15e-05, eta: 1:17:31 Time 0.608 (0.638) Data 0.006 (0.015) Loss 0.0005 (0.0170)
[08/16 10:08:16] VideoClip INFO: Epoch: [11][320/400], lr: 4.14e-05, eta: 1:17:21 Time 0.619 (0.638) Data 0.005 (0.015) Loss 0.0000 (0.0184)
[08/16 10:08:22] VideoClip INFO: Epoch: [11][330/400], lr: 4.14e-05, eta: 1:17:11 Time 0.611 (0.637) Data 0.005 (0.015) Loss 0.3627 (0.0190)
[08/16 10:08:28] VideoClip INFO: Epoch: [11][340/400], lr: 4.13e-05, eta: 1:17:01 Time 0.616 (0.636) Data 0.005 (0.014) Loss 0.0000 (0.0195)
[08/16 10:08:34] VideoClip INFO: Epoch: [11][350/400], lr: 4.12e-05, eta: 1:16:51 Time 0.616 (0.636) Data 0.008 (0.014) Loss 0.0005 (0.0199)
[08/16 10:08:40] VideoClip INFO: Epoch: [11][360/400], lr: 4.12e-05, eta: 1:16:42 Time 0.615 (0.636) Data 0.006 (0.014) Loss 0.0000 (0.0203)
[08/16 10:08:47] VideoClip INFO: Epoch: [11][370/400], lr: 4.11e-05, eta: 1:16:33 Time 0.617 (0.635) Data 0.007 (0.014) Loss 0.0000 (0.0198)
[08/16 10:08:53] VideoClip INFO: Epoch: [11][380/400], lr: 4.11e-05, eta: 1:16:23 Time 0.620 (0.635) Data 0.005 (0.014) Loss 0.0033 (0.0194)
[08/16 10:08:59] VideoClip INFO: Epoch: [11][390/400], lr: 4.10e-05, eta: 1:16:13 Time 0.617 (0.634) Data 0.007 (0.013) Loss 0.0001 (0.0190)
[08/16 10:09:11] VideoClip INFO: Epoch: [12][0/400], lr: 4.09e-05, eta: 11:16:47 Time 5.639 (5.639) Data 2.990 (2.990) Loss 0.0000 (0.0000)
[08/16 10:09:17] VideoClip INFO: Epoch: [12][10/400], lr: 4.09e-05, eta: 2:09:09 Time 0.618 (1.078) Data 0.006 (0.277) Loss 0.0000 (0.0031)
[08/16 10:09:23] VideoClip INFO: Epoch: [12][20/400], lr: 4.08e-05, eta: 1:42:52 Time 0.613 (0.859) Data 0.006 (0.148) Loss 0.0005 (0.0049)
[08/16 10:09:30] VideoClip INFO: Epoch: [12][30/400], lr: 4.08e-05, eta: 1:33:38 Time 0.616 (0.784) Data 0.007 (0.103) Loss 0.0015 (0.0204)
[08/16 10:09:36] VideoClip INFO: Epoch: [12][40/400], lr: 4.07e-05, eta: 1:28:58 Time 0.636 (0.746) Data 0.006 (0.079) Loss 0.0006 (0.0176)
[08/16 10:09:42] VideoClip INFO: Epoch: [12][50/400], lr: 4.06e-05, eta: 1:25:51 Time 0.611 (0.720) Data 0.006 (0.065) Loss 0.0001 (0.0143)
[08/16 10:09:48] VideoClip INFO: Epoch: [12][60/400], lr: 4.06e-05, eta: 1:23:46 Time 0.608 (0.704) Data 0.006 (0.055) Loss 0.0017 (0.0124)
[08/16 10:09:54] VideoClip INFO: Epoch: [12][70/400], lr: 4.05e-05, eta: 1:22:17 Time 0.616 (0.692) Data 0.007 (0.048) Loss 0.0000 (0.0110)
[08/16 10:10:01] VideoClip INFO: Epoch: [12][80/400], lr: 4.05e-05, eta: 1:21:11 Time 0.628 (0.684) Data 0.005 (0.043) Loss 0.0000 (0.0114)
[08/16 10:10:07] VideoClip INFO: Epoch: [12][90/400], lr: 4.04e-05, eta: 1:20:14 Time 0.620 (0.677) Data 0.005 (0.039) Loss 0.0204 (0.0104)
[08/16 10:10:13] VideoClip INFO: Epoch: [12][100/400], lr: 4.03e-05, eta: 1:19:29 Time 0.612 (0.672) Data 0.006 (0.036) Loss 0.0000 (0.0094)
[08/16 10:10:19] VideoClip INFO: Epoch: [12][110/400], lr: 4.03e-05, eta: 1:18:50 Time 0.625 (0.667) Data 0.005 (0.033) Loss 0.0434 (0.0090)
[08/16 10:10:26] VideoClip INFO: Epoch: [12][120/400], lr: 4.02e-05, eta: 1:18:18 Time 0.633 (0.664) Data 0.006 (0.031) Loss 0.0460 (0.0086)
[08/16 10:10:32] VideoClip INFO: Epoch: [12][130/400], lr: 4.01e-05, eta: 1:17:48 Time 0.624 (0.660) Data 0.007 (0.029) Loss 0.0000 (0.0088)
[08/16 10:10:38] VideoClip INFO: Epoch: [12][140/400], lr: 4.01e-05, eta: 1:17:22 Time 0.617 (0.657) Data 0.005 (0.027) Loss 0.0001 (0.0082)
[08/16 10:10:44] VideoClip INFO: Epoch: [12][150/400], lr: 4.00e-05, eta: 1:16:57 Time 0.614 (0.655) Data 0.005 (0.026) Loss 0.0014 (0.0077)
[08/16 10:10:50] VideoClip INFO: Epoch: [12][160/400], lr: 4.00e-05, eta: 1:16:36 Time 0.629 (0.653) Data 0.005 (0.025) Loss 0.0009 (0.0117)
[08/16 10:10:57] VideoClip INFO: Epoch: [12][170/400], lr: 3.99e-05, eta: 1:16:16 Time 0.611 (0.651) Data 0.005 (0.023) Loss 0.0001 (0.0111)
[08/16 10:11:03] VideoClip INFO: Epoch: [12][180/400], lr: 3.98e-05, eta: 1:15:58 Time 0.618 (0.649) Data 0.005 (0.022) Loss 0.0000 (0.0122)
[08/16 10:11:09] VideoClip INFO: Epoch: [12][190/400], lr: 3.98e-05, eta: 1:15:41 Time 0.612 (0.648) Data 0.005 (0.022) Loss 0.0000 (0.0119)
[08/16 10:11:15] VideoClip INFO: Epoch: [12][200/400], lr: 3.97e-05, eta: 1:15:26 Time 0.619 (0.646) Data 0.005 (0.021) Loss 0.0001 (0.0114)
[08/16 10:11:21] VideoClip INFO: Epoch: [12][210/400], lr: 3.96e-05, eta: 1:15:10 Time 0.615 (0.645) Data 0.006 (0.020) Loss 0.0000 (0.0110)
[08/16 10:11:28] VideoClip INFO: Epoch: [12][220/400], lr: 3.96e-05, eta: 1:14:55 Time 0.611 (0.644) Data 0.009 (0.020) Loss 0.0000 (0.0106)
[08/16 10:11:34] VideoClip INFO: Epoch: [12][230/400], lr: 3.95e-05, eta: 1:14:41 Time 0.604 (0.643) Data 0.007 (0.019) Loss 0.0000 (0.0101)
[08/16 10:11:40] VideoClip INFO: Epoch: [12][240/400], lr: 3.94e-05, eta: 1:14:28 Time 0.618 (0.642) Data 0.006 (0.019) Loss 0.0000 (0.0098)
[08/16 10:11:46] VideoClip INFO: Epoch: [12][250/400], lr: 3.94e-05, eta: 1:14:16 Time 0.619 (0.641) Data 0.007 (0.018) Loss 0.3967 (0.0110)
[08/16 10:11:52] VideoClip INFO: Epoch: [12][260/400], lr: 3.93e-05, eta: 1:14:04 Time 0.620 (0.640) Data 0.005 (0.018) Loss 0.0000 (0.0106)
[08/16 10:11:59] VideoClip INFO: Epoch: [12][270/400], lr: 3.93e-05, eta: 1:13:52 Time 0.606 (0.640) Data 0.006 (0.017) Loss 0.0002 (0.0103)
[08/16 10:12:05] VideoClip INFO: Epoch: [12][280/400], lr: 3.92e-05, eta: 1:13:42 Time 0.613 (0.639) Data 0.005 (0.017) Loss 0.0006 (0.0151)
[08/16 10:12:11] VideoClip INFO: Epoch: [12][290/400], lr: 3.91e-05, eta: 1:13:31 Time 0.612 (0.638) Data 0.007 (0.016) Loss 0.0000 (0.0208)
[08/16 10:12:17] VideoClip INFO: Epoch: [12][300/400], lr: 3.91e-05, eta: 1:13:20 Time 0.614 (0.638) Data 0.006 (0.016) Loss 0.0001 (0.0202)
[08/16 10:12:23] VideoClip INFO: Epoch: [12][310/400], lr: 3.90e-05, eta: 1:13:10 Time 0.612 (0.637) Data 0.007 (0.016) Loss 0.0000 (0.0197)
[08/16 10:12:30] VideoClip INFO: Epoch: [12][320/400], lr: 3.89e-05, eta: 1:13:00 Time 0.657 (0.637) Data 0.005 (0.016) Loss 0.0000 (0.0192)
[08/16 10:12:36] VideoClip INFO: Epoch: [12][330/400], lr: 3.89e-05, eta: 1:12:51 Time 0.612 (0.636) Data 0.007 (0.015) Loss 0.0000 (0.0197)
[08/16 10:12:42] VideoClip INFO: Epoch: [12][340/400], lr: 3.88e-05, eta: 1:12:40 Time 0.617 (0.636) Data 0.006 (0.015) Loss 0.0001 (0.0191)
[08/16 10:12:48] VideoClip INFO: Epoch: [12][350/400], lr: 3.87e-05, eta: 1:12:30 Time 0.612 (0.635) Data 0.007 (0.015) Loss 0.0001 (0.0195)
[08/16 10:12:54] VideoClip INFO: Epoch: [12][360/400], lr: 3.87e-05, eta: 1:12:22 Time 0.619 (0.635) Data 0.005 (0.015) Loss 0.0000 (0.0190)
[08/16 10:13:01] VideoClip INFO: Epoch: [12][370/400], lr: 3.86e-05, eta: 1:12:12 Time 0.607 (0.634) Data 0.007 (0.014) Loss 0.0001 (0.0185)
[08/16 10:13:07] VideoClip INFO: Epoch: [12][380/400], lr: 3.85e-05, eta: 1:12:04 Time 0.616 (0.634) Data 0.007 (0.014) Loss 0.0000 (0.0193)
[08/16 10:13:13] VideoClip INFO: Epoch: [12][390/400], lr: 3.85e-05, eta: 1:11:55 Time 0.617 (0.634) Data 0.009 (0.014) Loss 0.0009 (0.0188)
[08/16 10:13:25] VideoClip INFO: Epoch: [13][0/400], lr: 3.84e-05, eta: 10:54:23 Time 5.773 (5.773) Data 1.942 (1.942) Loss 0.0005 (0.0005)
[08/16 10:13:31] VideoClip INFO: Epoch: [13][10/400], lr: 3.83e-05, eta: 2:03:48 Time 0.617 (1.094) Data 0.006 (0.182) Loss 0.0004 (0.0006)
[08/16 10:13:37] VideoClip INFO: Epoch: [13][20/400], lr: 3.83e-05, eta: 1:38:11 Time 0.617 (0.869) Data 0.006 (0.099) Loss 0.0000 (0.0008)
[08/16 10:13:44] VideoClip INFO: Epoch: [13][30/400], lr: 3.82e-05, eta: 1:28:58 Time 0.613 (0.788) Data 0.006 (0.070) Loss 0.0001 (0.0064)
[08/16 10:13:50] VideoClip INFO: Epoch: [13][40/400], lr: 3.81e-05, eta: 1:24:27 Time 0.658 (0.750) Data 0.006 (0.055) Loss 0.0001 (0.0051)
[08/16 10:13:56] VideoClip INFO: Epoch: [13][50/400], lr: 3.81e-05, eta: 1:21:33 Time 0.622 (0.725) Data 0.006 (0.045) Loss 0.0000 (0.0068)
[08/16 10:14:02] VideoClip INFO: Epoch: [13][60/400], lr: 3.80e-05, eta: 1:19:33 Time 0.617 (0.708) Data 0.008 (0.039) Loss 0.0000 (0.0246)
[08/16 10:14:09] VideoClip INFO: Epoch: [13][70/400], lr: 3.79e-05, eta: 1:18:02 Time 0.616 (0.696) Data 0.006 (0.034) Loss 0.0003 (0.0333)
[08/16 10:14:15] VideoClip INFO: Epoch: [13][80/400], lr: 3.79e-05, eta: 1:16:56 Time 0.617 (0.687) Data 0.005 (0.031) Loss 0.0000 (0.0293)
[08/16 10:14:21] VideoClip INFO: Epoch: [13][90/400], lr: 3.78e-05, eta: 1:15:59 Time 0.616 (0.679) Data 0.006 (0.028) Loss 0.0000 (0.0263)
[08/16 10:14:27] VideoClip INFO: Epoch: [13][100/400], lr: 3.77e-05, eta: 1:15:11 Time 0.610 (0.673) Data 0.005 (0.026) Loss 0.0000 (0.0238)
[08/16 10:14:33] VideoClip INFO: Epoch: [13][110/400], lr: 3.77e-05, eta: 1:14:34 Time 0.611 (0.669) Data 0.006 (0.025) Loss 0.3049 (0.0250)
[08/16 10:14:40] VideoClip INFO: Epoch: [13][120/400], lr: 3.76e-05, eta: 1:14:03 Time 0.626 (0.665) Data 0.005 (0.023) Loss 0.0000 (0.0254)
[08/16 10:14:46] VideoClip INFO: Epoch: [13][130/400], lr: 3.75e-05, eta: 1:13:34 Time 0.619 (0.662) Data 0.006 (0.022) Loss 0.0001 (0.0235)
[08/16 10:14:52] VideoClip INFO: Epoch: [13][140/400], lr: 3.75e-05, eta: 1:13:08 Time 0.614 (0.659) Data 0.007 (0.021) Loss 0.0001 (0.0224)
[08/16 10:14:58] VideoClip INFO: Epoch: [13][150/400], lr: 3.74e-05, eta: 1:12:45 Time 0.616 (0.656) Data 0.005 (0.020) Loss 0.0005 (0.0211)
[08/16 10:15:05] VideoClip INFO: Epoch: [13][160/400], lr: 3.73e-05, eta: 1:12:25 Time 0.611 (0.654) Data 0.005 (0.019) Loss 0.0001 (0.0210)
[08/16 10:15:11] VideoClip INFO: Epoch: [13][170/400], lr: 3.73e-05, eta: 1:12:05 Time 0.611 (0.652) Data 0.006 (0.018) Loss 0.1227 (0.0205)
[08/16 10:15:17] VideoClip INFO: Epoch: [13][180/400], lr: 3.72e-05, eta: 1:11:47 Time 0.629 (0.651) Data 0.008 (0.018) Loss 0.0068 (0.0196)
[08/16 10:15:23] VideoClip INFO: Epoch: [13][190/400], lr: 3.71e-05, eta: 1:11:29 Time 0.609 (0.649) Data 0.006 (0.017) Loss 0.0000 (0.0191)
[08/16 10:15:29] VideoClip INFO: Epoch: [13][200/400], lr: 3.71e-05, eta: 1:11:15 Time 0.611 (0.648) Data 0.005 (0.016) Loss 0.0001 (0.0183)
[08/16 10:15:36] VideoClip INFO: Epoch: [13][210/400], lr: 3.70e-05, eta: 1:11:00 Time 0.611 (0.646) Data 0.006 (0.016) Loss 0.0026 (0.0175)
[08/16 10:15:42] VideoClip INFO: Epoch: [13][220/400], lr: 3.69e-05, eta: 1:10:45 Time 0.612 (0.645) Data 0.007 (0.016) Loss 0.0000 (0.0186)
[08/16 10:15:48] VideoClip INFO: Epoch: [13][230/400], lr: 3.68e-05, eta: 1:10:31 Time 0.610 (0.644) Data 0.007 (0.015) Loss 0.0000 (0.0180)
[08/16 10:15:54] VideoClip INFO: Epoch: [13][240/400], lr: 3.68e-05, eta: 1:10:19 Time 0.648 (0.643) Data 0.005 (0.015) Loss 0.0000 (0.0172)
[08/16 10:16:00] VideoClip INFO: Epoch: [13][250/400], lr: 3.67e-05, eta: 1:10:07 Time 0.611 (0.642) Data 0.006 (0.015) Loss 0.0001 (0.0168)
[08/16 10:16:07] VideoClip INFO: Epoch: [13][260/400], lr: 3.66e-05, eta: 1:09:55 Time 0.615 (0.641) Data 0.007 (0.014) Loss 0.0001 (0.0170)
[08/16 10:16:13] VideoClip INFO: Epoch: [13][270/400], lr: 3.66e-05, eta: 1:09:43 Time 0.608 (0.641) Data 0.006 (0.014) Loss 0.0001 (0.0165)
[08/16 10:16:19] VideoClip INFO: Epoch: [13][280/400], lr: 3.65e-05, eta: 1:09:33 Time 0.633 (0.640) Data 0.004 (0.014) Loss 0.0000 (0.0160)
[08/16 10:16:25] VideoClip INFO: Epoch: [13][290/400], lr: 3.64e-05, eta: 1:09:22 Time 0.615 (0.639) Data 0.007 (0.014) Loss 0.0000 (0.0157)
[08/16 10:16:31] VideoClip INFO: Epoch: [13][300/400], lr: 3.64e-05, eta: 1:09:11 Time 0.603 (0.639) Data 0.007 (0.013) Loss 0.0002 (0.0152)
[08/16 10:16:38] VideoClip INFO: Epoch: [13][310/400], lr: 3.63e-05, eta: 1:09:01 Time 0.612 (0.638) Data 0.007 (0.013) Loss 0.0000 (0.0148)
[08/16 10:16:44] VideoClip INFO: Epoch: [13][320/400], lr: 3.62e-05, eta: 1:08:51 Time 0.635 (0.637) Data 0.005 (0.013) Loss 0.0000 (0.0144)
[08/16 10:16:50] VideoClip INFO: Epoch: [13][330/400], lr: 3.61e-05, eta: 1:08:42 Time 0.616 (0.637) Data 0.006 (0.013) Loss 0.0006 (0.0140)
[08/16 10:16:56] VideoClip INFO: Epoch: [13][340/400], lr: 3.61e-05, eta: 1:08:32 Time 0.620 (0.637) Data 0.007 (0.013) Loss 0.0274 (0.0148)
[08/16 10:17:02] VideoClip INFO: Epoch: [13][350/400], lr: 3.60e-05, eta: 1:08:23 Time 0.620 (0.636) Data 0.008 (0.012) Loss 0.0000 (0.0144)
[08/16 10:17:09] VideoClip INFO: Epoch: [13][360/400], lr: 3.59e-05, eta: 1:08:15 Time 0.640 (0.636) Data 0.005 (0.012) Loss 0.0000 (0.0143)
[08/16 10:17:15] VideoClip INFO: Epoch: [13][370/400], lr: 3.59e-05, eta: 1:08:06 Time 0.614 (0.635) Data 0.007 (0.012) Loss 0.0000 (0.0140)
[08/16 10:17:21] VideoClip INFO: Epoch: [13][380/400], lr: 3.58e-05, eta: 1:07:57 Time 0.620 (0.635) Data 0.006 (0.012) Loss 0.0001 (0.0137)
[08/16 10:17:27] VideoClip INFO: Epoch: [13][390/400], lr: 3.57e-05, eta: 1:07:47 Time 0.616 (0.635) Data 0.006 (0.012) Loss 0.0001 (0.0134)
[08/16 10:17:40] VideoClip INFO: Epoch: [14][0/400], lr: 3.56e-05, eta: 11:17:58 Time 6.355 (6.355) Data 2.727 (2.727) Loss 0.0001 (0.0001)
[08/16 10:17:46] VideoClip INFO: Epoch: [14][10/400], lr: 3.56e-05, eta: 2:01:54 Time 0.620 (1.145) Data 0.016 (0.257) Loss 0.0000 (0.0003)
[08/16 10:17:52] VideoClip INFO: Epoch: [14][20/400], lr: 3.55e-05, eta: 1:35:13 Time 0.616 (0.895) Data 0.014 (0.139) Loss 0.0000 (0.0472)
[08/16 10:17:59] VideoClip INFO: Epoch: [14][30/400], lr: 3.54e-05, eta: 1:25:38 Time 0.614 (0.807) Data 0.011 (0.098) Loss 0.4673 (0.0549)
[08/16 10:18:05] VideoClip INFO: Epoch: [14][40/400], lr: 3.54e-05, eta: 1:20:51 Time 0.632 (0.763) Data 0.006 (0.076) Loss 0.0011 (0.0415)
[08/16 10:18:11] VideoClip INFO: Epoch: [14][50/400], lr: 3.53e-05, eta: 1:17:45 Time 0.616 (0.735) Data 0.010 (0.063) Loss 0.0004 (0.0336)
[08/16 10:18:17] VideoClip INFO: Epoch: [14][60/400], lr: 3.52e-05, eta: 1:15:38 Time 0.614 (0.716) Data 0.009 (0.054) Loss 0.0000 (0.0283)
[08/16 10:18:23] VideoClip INFO: Epoch: [14][70/400], lr: 3.52e-05, eta: 1:14:06 Time 0.617 (0.702) Data 0.011 (0.048) Loss 0.0002 (0.0245)
[08/16 10:18:30] VideoClip INFO: Epoch: [14][80/400], lr: 3.51e-05, eta: 1:13:01 Time 0.644 (0.693) Data 0.013 (0.043) Loss 0.0000 (0.0219)
[08/16 10:18:36] VideoClip INFO: Epoch: [14][90/400], lr: 3.50e-05, eta: 1:12:03 Time 0.616 (0.685) Data 0.012 (0.040) Loss 0.0013 (0.0195)
[08/16 10:18:42] VideoClip INFO: Epoch: [14][100/400], lr: 3.49e-05, eta: 1:11:17 Time 0.628 (0.679) Data 0.007 (0.037) Loss 0.0600 (0.0188)
[08/16 10:18:48] VideoClip INFO: Epoch: [14][110/400], lr: 3.49e-05, eta: 1:10:36 Time 0.621 (0.673) Data 0.006 (0.034) Loss 0.0000 (0.0175)
[08/16 10:18:55] VideoClip INFO: Epoch: [14][120/400], lr: 3.48e-05, eta: 1:10:05 Time 0.617 (0.669) Data 0.012 (0.032) Loss 0.0000 (0.0181)
[08/16 10:19:01] VideoClip INFO: Epoch: [14][130/400], lr: 3.47e-05, eta: 1:09:34 Time 0.606 (0.666) Data 0.007 (0.030) Loss 0.0000 (0.0172)
[08/16 10:19:07] VideoClip INFO: Epoch: [14][140/400], lr: 3.46e-05, eta: 1:09:07 Time 0.615 (0.662) Data 0.012 (0.029) Loss 0.0003 (0.0218)
[08/16 10:19:13] VideoClip INFO: Epoch: [14][150/400], lr: 3.46e-05, eta: 1:08:42 Time 0.616 (0.660) Data 0.013 (0.028) Loss 0.0340 (0.0235)
[08/16 10:19:19] VideoClip INFO: Epoch: [14][160/400], lr: 3.45e-05, eta: 1:08:22 Time 0.625 (0.657) Data 0.011 (0.026) Loss 0.0061 (0.0222)
[08/16 10:19:26] VideoClip INFO: Epoch: [14][170/400], lr: 3.44e-05, eta: 1:08:02 Time 0.617 (0.655) Data 0.008 (0.025) Loss 0.0000 (0.0212)
[08/16 10:19:32] VideoClip INFO: Epoch: [14][180/400], lr: 3.44e-05, eta: 1:07:43 Time 0.608 (0.653) Data 0.006 (0.024) Loss 0.0005 (0.0200)
[08/16 10:19:38] VideoClip INFO: Epoch: [14][190/400], lr: 3.43e-05, eta: 1:07:25 Time 0.610 (0.651) Data 0.007 (0.024) Loss 0.0000 (0.0190)
[08/16 10:19:44] VideoClip INFO: Epoch: [14][200/400], lr: 3.42e-05, eta: 1:07:11 Time 0.636 (0.650) Data 0.012 (0.023) Loss 0.0006 (0.0191)
[08/16 10:19:50] VideoClip INFO: Epoch: [14][210/400], lr: 3.41e-05, eta: 1:06:56 Time 0.615 (0.649) Data 0.005 (0.022) Loss 0.8988 (0.0225)
[08/16 10:19:57] VideoClip INFO: Epoch: [14][220/400], lr: 3.41e-05, eta: 1:06:40 Time 0.618 (0.647) Data 0.011 (0.022) Loss 0.0005 (0.0215)
[08/16 10:20:03] VideoClip INFO: Epoch: [14][230/400], lr: 3.40e-05, eta: 1:06:26 Time 0.612 (0.646) Data 0.012 (0.021) Loss 0.0000 (0.0213)
[08/16 10:20:09] VideoClip INFO: Epoch: [14][240/400], lr: 3.39e-05, eta: 1:06:15 Time 0.640 (0.645) Data 0.011 (0.021) Loss 0.0016 (0.0205)
[08/16 10:20:15] VideoClip INFO: Epoch: [14][250/400], lr: 3.38e-05, eta: 1:06:02 Time 0.609 (0.644) Data 0.006 (0.020) Loss 0.0004 (0.0199)
[08/16 10:20:21] VideoClip INFO: Epoch: [14][260/400], lr: 3.38e-05, eta: 1:05:49 Time 0.613 (0.643) Data 0.012 (0.020) Loss 0.0000 (0.0192)
[08/16 10:20:28] VideoClip INFO: Epoch: [14][270/400], lr: 3.37e-05, eta: 1:05:37 Time 0.614 (0.642) Data 0.005 (0.019) Loss 0.0000 (0.0185)
[08/16 10:20:34] VideoClip INFO: Epoch: [14][280/400], lr: 3.36e-05, eta: 1:05:26 Time 0.631 (0.642) Data 0.008 (0.019) Loss 0.0022 (0.0178)
[08/16 10:20:40] VideoClip INFO: Epoch: [14][290/400], lr: 3.35e-05, eta: 1:05:15 Time 0.615 (0.641) Data 0.007 (0.019) Loss 0.0019 (0.0173)
[08/16 10:20:46] VideoClip INFO: Epoch: [14][300/400], lr: 3.35e-05, eta: 1:05:05 Time 0.615 (0.640) Data 0.006 (0.018) Loss 0.0000 (0.0167)
[08/16 10:20:52] VideoClip INFO: Epoch: [14][310/400], lr: 3.34e-05, eta: 1:04:54 Time 0.612 (0.639) Data 0.007 (0.018) Loss 0.0001 (0.0164)
[08/16 10:20:59] VideoClip INFO: Epoch: [14][320/400], lr: 3.33e-05, eta: 1:04:46 Time 0.656 (0.639) Data 0.006 (0.018) Loss 0.0001 (0.0160)
[08/16 10:21:05] VideoClip INFO: Epoch: [14][330/400], lr: 3.33e-05, eta: 1:04:36 Time 0.613 (0.638) Data 0.007 (0.017) Loss 0.0000 (0.0156)
[08/16 10:21:11] VideoClip INFO: Epoch: [14][340/400], lr: 3.32e-05, eta: 1:04:25 Time 0.606 (0.638) Data 0.008 (0.017) Loss 0.2171 (0.0159)
[08/16 10:21:17] VideoClip INFO: Epoch: [14][350/400], lr: 3.31e-05, eta: 1:04:16 Time 0.624 (0.637) Data 0.006 (0.017) Loss 0.0001 (0.0155)
[08/16 10:21:24] VideoClip INFO: Epoch: [14][360/400], lr: 3.30e-05, eta: 1:04:07 Time 0.628 (0.637) Data 0.006 (0.016) Loss 0.0001 (0.0163)
[08/16 10:21:30] VideoClip INFO: Epoch: [14][370/400], lr: 3.30e-05, eta: 1:03:58 Time 0.615 (0.636) Data 0.006 (0.016) Loss 0.0036 (0.0159)
[08/16 10:21:36] VideoClip INFO: Epoch: [14][380/400], lr: 3.29e-05, eta: 1:03:48 Time 0.610 (0.636) Data 0.010 (0.016) Loss 0.0001 (0.0156)
[08/16 10:21:42] VideoClip INFO: Epoch: [14][390/400], lr: 3.28e-05, eta: 1:03:39 Time 0.615 (0.635) Data 0.012 (0.016) Loss 0.0000 (0.0152)
[08/16 10:21:54] VideoClip INFO: Test: [0/154] Prec@1 96.875 (96.875) Prec@5 100.000 (100.000)
[08/16 10:21:56] VideoClip INFO: Test: [10/154] Prec@1 93.750 (92.330) Prec@5 100.000 (99.148)
[08/16 10:21:58] VideoClip INFO: Test: [20/154] Prec@1 96.875 (93.304) Prec@5 100.000 (99.256)
[08/16 10:21:59] VideoClip INFO: Test: [30/154] Prec@1 93.750 (93.750) Prec@5 100.000 (99.194)
[08/16 10:22:01] VideoClip INFO: Test: [40/154] Prec@1 84.375 (93.216) Prec@5 100.000 (99.238)
[08/16 10:22:03] VideoClip INFO: Test: [50/154] Prec@1 84.375 (92.953) Prec@5 96.875 (99.020)
[08/16 10:22:05] VideoClip INFO: Test: [60/154] Prec@1 96.875 (92.982) Prec@5 96.875 (98.924)
[08/16 10:22:06] VideoClip INFO: Test: [70/154] Prec@1 100.000 (92.518) Prec@5 100.000 (98.988)
[08/16 10:22:08] VideoClip INFO: Test: [80/154] Prec@1 81.250 (92.593) Prec@5 100.000 (99.113)
[08/16 10:22:10] VideoClip INFO: Test: [90/154] Prec@1 93.750 (92.788) Prec@5 100.000 (99.073)
[08/16 10:22:12] VideoClip INFO: Test: [100/154] Prec@1 100.000 (92.946) Prec@5 100.000 (99.103)
[08/16 10:22:13] VideoClip INFO: Test: [110/154] Prec@1 100.000 (92.962) Prec@5 100.000 (99.155)
[08/16 10:22:15] VideoClip INFO: Test: [120/154] Prec@1 96.875 (93.130) Prec@5 100.000 (99.174)
[08/16 10:22:17] VideoClip INFO: Test: [130/154] Prec@1 90.625 (93.106) Prec@5 96.875 (99.141)
[08/16 10:22:18] VideoClip INFO: Test: [140/154] Prec@1 84.375 (92.952) Prec@5 96.875 (99.158)
[08/16 10:22:20] VideoClip INFO: Test: [150/154] Prec@1 87.500 (92.860) Prec@5 100.000 (99.131)
[08/16 10:22:21] VideoClip INFO: Testing Results: Prec@1 92.857 Prec@5 99.127
[08/16 10:22:21] VideoClip INFO: Testing: 92.85714285714286/92.85714285714286
[08/16 10:22:21] VideoClip INFO: Saving:
[08/16 10:24:10] VideoClip INFO: Epoch: [15][0/400], lr: 3.27e-05, eta: 3:02:29 Time 1.825 (1.825) Data 1.231 (1.231) Loss 0.0212 (0.0212)
[08/16 10:24:16] VideoClip INFO: Epoch: [15][10/400], lr: 3.27e-05, eta: 1:13:11 Time 0.613 (0.733) Data 0.006 (0.118) Loss 0.0000 (0.0019)
[08/16 10:24:23] VideoClip INFO: Epoch: [15][20/400], lr: 3.26e-05, eta: 1:07:49 Time 0.611 (0.680) Data 0.006 (0.065) Loss 0.0010 (0.0024)
[08/16 10:24:29] VideoClip INFO: Epoch: [15][30/400], lr: 3.25e-05, eta: 1:05:45 Time 0.622 (0.661) Data 0.005 (0.046) Loss 0.0001 (0.0023)
[08/16 10:24:35] VideoClip INFO: Epoch: [15][40/400], lr: 3.24e-05, eta: 1:04:49 Time 0.643 (0.652) Data 0.005 (0.037) Loss 0.0000 (0.0065)
[08/16 10:24:41] VideoClip INFO: Epoch: [15][50/400], lr: 3.24e-05, eta: 1:04:05 Time 0.618 (0.646) Data 0.008 (0.031) Loss 0.1122 (0.0080)
[08/16 10:24:48] VideoClip INFO: Epoch: [15][60/400], lr: 3.23e-05, eta: 1:03:34 Time 0.621 (0.642) Data 0.007 (0.027) Loss 0.0000 (0.0076)
[08/16 10:24:54] VideoClip INFO: Epoch: [15][70/400], lr: 3.22e-05, eta: 1:03:10 Time 0.615 (0.639) Data 0.009 (0.024) Loss 0.0000 (0.0065)
[08/16 10:25:00] VideoClip INFO: Epoch: [15][80/400], lr: 3.21e-05, eta: 1:02:53 Time 0.636 (0.637) Data 0.006 (0.022) Loss 0.0000 (0.0073)
[08/16 10:25:06] VideoClip INFO: Epoch: [15][90/400], lr: 3.21e-05, eta: 1:02:38 Time 0.611 (0.636) Data 0.009 (0.021) Loss 0.0000 (0.0065)
[08/16 10:25:12] VideoClip INFO: Epoch: [15][100/400], lr: 3.20e-05, eta: 1:02:22 Time 0.621 (0.634) Data 0.008 (0.019) Loss 0.0129 (0.0069)
[08/16 10:25:19] VideoClip INFO: Epoch: [15][110/400], lr: 3.19e-05, eta: 1:02:07 Time 0.624 (0.633) Data 0.007 (0.018) Loss 0.0000 (0.0078)
[08/16 10:25:25] VideoClip INFO: Epoch: [15][120/400], lr: 3.18e-05, eta: 1:01:56 Time 0.612 (0.632) Data 0.008 (0.018) Loss 0.0001 (0.0075)
[08/16 10:25:31] VideoClip INFO: Epoch: [15][130/400], lr: 3.18e-05, eta: 1:01:44 Time 0.611 (0.631) Data 0.008 (0.017) Loss 0.0000 (0.0069)
[08/16 10:25:37] VideoClip INFO: Epoch: [15][140/400], lr: 3.17e-05, eta: 1:01:33 Time 0.611 (0.630) Data 0.008 (0.016) Loss 0.0016 (0.0065)
[08/16 10:25:43] VideoClip INFO: Epoch: [15][150/400], lr: 3.16e-05, eta: 1:01:23 Time 0.630 (0.630) Data 0.008 (0.016) Loss 0.0000 (0.0063)
[08/16 10:25:50] VideoClip INFO: Epoch: [15][160/400], lr: 3.15e-05, eta: 1:01:16 Time 0.627 (0.629) Data 0.006 (0.015) Loss 0.0002 (0.0071)
[08/16 10:25:56] VideoClip INFO: Epoch: [15][170/400], lr: 3.15e-05, eta: 1:01:07 Time 0.615 (0.629) Data 0.006 (0.015) Loss 0.0075 (0.0067)
[08/16 10:26:02] VideoClip INFO: Epoch: [15][180/400], lr: 3.14e-05, eta: 1:00:58 Time 0.619 (0.629) Data 0.007 (0.014) Loss 0.0000 (0.0109)
[08/16 10:26:08] VideoClip INFO: Epoch: [15][190/400], lr: 3.13e-05, eta: 1:00:48 Time 0.616 (0.628) Data 0.008 (0.014) Loss 0.0000 (0.0104)
[08/16 10:26:14] VideoClip INFO: Epoch: [15][200/400], lr: 3.12e-05, eta: 1:00:40 Time 0.617 (0.628) Data 0.006 (0.013) Loss 0.0008 (0.0099)
[08/16 10:26:21] VideoClip INFO: Epoch: [15][210/400], lr: 3.11e-05, eta: 1:00:31 Time 0.615 (0.627) Data 0.006 (0.013) Loss 0.0000 (0.0097)
[08/16 10:26:27] VideoClip INFO: Epoch: [15][220/400], lr: 3.11e-05, eta: 1:00:22 Time 0.615 (0.627) Data 0.009 (0.013) Loss 0.0000 (0.0093)
[08/16 10:26:33] VideoClip INFO: Epoch: [15][230/400], lr: 3.10e-05, eta: 1:00:14 Time 0.623 (0.626) Data 0.006 (0.013) Loss 0.0003 (0.0090)
[08/16 10:26:39] VideoClip INFO: Epoch: [15][240/400], lr: 3.09e-05, eta: 1:00:07 Time 0.607 (0.626) Data 0.006 (0.012) Loss 0.0000 (0.0099)
[08/16 10:26:45] VideoClip INFO: Epoch: [15][250/400], lr: 3.08e-05, eta: 1:00:00 Time 0.620 (0.626) Data 0.008 (0.012) Loss 0.0013 (0.0100)
[08/16 10:26:52] VideoClip INFO: Epoch: [15][260/400], lr: 3.08e-05, eta: 0:59:51 Time 0.611 (0.626) Data 0.010 (0.012) Loss 0.0000 (0.0096)
[08/16 10:26:58] VideoClip INFO: Epoch: [15][270/400], lr: 3.07e-05, eta: 0:59:44 Time 0.624 (0.625) Data 0.007 (0.012) Loss 0.0000 (0.0093)
[08/16 10:27:04] VideoClip INFO: Epoch: [15][280/400], lr: 3.06e-05, eta: 0:59:37 Time 0.621 (0.625) Data 0.006 (0.012) Loss 0.0000 (0.0090)
[08/16 10:27:10] VideoClip INFO: Epoch: [15][290/400], lr: 3.05e-05, eta: 0:59:29 Time 0.614 (0.625) Data 0.008 (0.011) Loss 0.0041 (0.0089)
[08/16 10:27:16] VideoClip INFO: Epoch: [15][300/400], lr: 3.05e-05, eta: 0:59:21 Time 0.607 (0.625) Data 0.007 (0.011) Loss 0.0000 (0.0087)
[08/16 10:27:23] VideoClip INFO: Epoch: [15][310/400], lr: 3.04e-05, eta: 0:59:14 Time 0.609 (0.625) Data 0.010 (0.011) Loss 0.0017 (0.0107)
[08/16 10:27:29] VideoClip INFO: Epoch: [15][320/400], lr: 3.03e-05, eta: 0:59:08 Time 0.615 (0.625) Data 0.007 (0.011) Loss 0.0002 (0.0105)
[08/16 10:27:35] VideoClip INFO: Epoch: [15][330/400], lr: 3.02e-05, eta: 0:59:01 Time 0.609 (0.624) Data 0.006 (0.011) Loss 0.0001 (0.0102)
[08/16 10:27:41] VideoClip INFO: Epoch: [15][340/400], lr: 3.02e-05, eta: 0:58:53 Time 0.610 (0.624) Data 0.010 (0.011) Loss 0.0000 (0.0100)
[08/16 10:27:47] VideoClip INFO: Epoch: [15][350/400], lr: 3.01e-05, eta: 0:58:46 Time 0.616 (0.624) Data 0.007 (0.011) Loss 0.0001 (0.0097)
[08/16 10:27:54] VideoClip INFO: Epoch: [15][360/400], lr: 3.00e-05, eta: 0:58:39 Time 0.631 (0.624) Data 0.006 (0.011) Loss 0.0001 (0.0097)
[08/16 10:28:00] VideoClip INFO: Epoch: [15][370/400], lr: 2.99e-05, eta: 0:58:32 Time 0.615 (0.624) Data 0.008 (0.011) Loss 0.1141 (0.0098)
[08/16 10:28:06] VideoClip INFO: Epoch: [15][380/400], lr: 2.98e-05, eta: 0:58:25 Time 0.617 (0.624) Data 0.008 (0.010) Loss 0.4326 (0.0107)
[08/16 10:28:12] VideoClip INFO: Epoch: [15][390/400], lr: 2.98e-05, eta: 0:58:17 Time 0.618 (0.623) Data 0.009 (0.010) Loss 0.0000 (0.0105)
[08/16 10:28:24] VideoClip INFO: Epoch: [16][0/400], lr: 2.97e-05, eta: 8:59:06 Time 5.775 (5.775) Data 2.664 (2.664) Loss 0.0000 (0.0000)
[08/16 10:28:30] VideoClip INFO: Epoch: [16][10/400], lr: 2.96e-05, eta: 1:41:30 Time 0.619 (1.089) Data 0.008 (0.250) Loss 0.0003 (0.0353)
[08/16 10:28:37] VideoClip INFO: Epoch: [16][20/400], lr: 2.95e-05, eta: 1:20:41 Time 0.622 (0.868) Data 0.007 (0.135) Loss 0.0005 (0.0194)
[08/16 10:28:43] VideoClip INFO: Epoch: [16][30/400], lr: 2.95e-05, eta: 1:13:11 Time 0.616 (0.788) Data 0.007 (0.094) Loss 0.0000 (0.0166)
[08/16 10:28:49] VideoClip INFO: Epoch: [16][40/400], lr: 2.94e-05, eta: 1:09:23 Time 0.606 (0.749) Data 0.009 (0.073) Loss 0.0001 (0.0260)
[08/16 10:28:55] VideoClip INFO: Epoch: [16][50/400], lr: 2.93e-05, eta: 1:06:56 Time 0.616 (0.724) Data 0.007 (0.060) Loss 0.0001 (0.0220)
[08/16 10:29:01] VideoClip INFO: Epoch: [16][60/400], lr: 2.92e-05, eta: 1:05:15 Time 0.619 (0.707) Data 0.009 (0.051) Loss 0.0001 (0.0188)
[08/16 10:29:08] VideoClip INFO: Epoch: [16][70/400], lr: 2.92e-05, eta: 1:03:59 Time 0.616 (0.694) Data 0.013 (0.045) Loss 0.0002 (0.0184)
[08/16 10:29:14] VideoClip INFO: Epoch: [16][80/400], lr: 2.91e-05, eta: 1:03:00 Time 0.606 (0.685) Data 0.006 (0.041) Loss 0.0000 (0.0163)
[08/16 10:29:20] VideoClip INFO: Epoch: [16][90/400], lr: 2.90e-05, eta: 1:02:13 Time 0.609 (0.677) Data 0.007 (0.037) Loss 0.0000 (0.0145)
[08/16 10:29:26] VideoClip INFO: Epoch: [16][100/400], lr: 2.89e-05, eta: 1:01:33 Time 0.607 (0.671) Data 0.007 (0.034) Loss 0.0009 (0.0131)
[08/16 10:29:32] VideoClip INFO: Epoch: [16][110/400], lr: 2.88e-05, eta: 1:00:59 Time 0.616 (0.667) Data 0.006 (0.032) Loss 0.0000 (0.0137)
[08/16 10:29:39] VideoClip INFO: Epoch: [16][120/400], lr: 2.88e-05, eta: 1:00:32 Time 0.622 (0.663) Data 0.005 (0.030) Loss 0.0001 (0.0170)
[08/16 10:29:45] VideoClip INFO: Epoch: [16][130/400], lr: 2.87e-05, eta: 1:00:06 Time 0.616 (0.659) Data 0.010 (0.028) Loss 0.0001 (0.0157)
[08/16 10:29:51] VideoClip INFO: Epoch: [16][140/400], lr: 2.86e-05, eta: 0:59:43 Time 0.616 (0.656) Data 0.006 (0.027) Loss 0.0000 (0.0146)
[08/16 10:29:57] VideoClip INFO: Epoch: [16][150/400], lr: 2.85e-05, eta: 0:59:25 Time 0.610 (0.654) Data 0.007 (0.025) Loss 0.0000 (0.0138)
[08/16 10:30:03] VideoClip INFO: Epoch: [16][160/400], lr: 2.85e-05, eta: 0:59:08 Time 0.614 (0.652) Data 0.007 (0.024) Loss 0.0000 (0.0130)
[08/16 10:30:10] VideoClip INFO: Epoch: [16][170/400], lr: 2.84e-05, eta: 0:58:50 Time 0.613 (0.650) Data 0.008 (0.023) Loss 0.0000 (0.0122)
[08/16 10:30:16] VideoClip INFO: Epoch: [16][180/400], lr: 2.83e-05, eta: 0:58:35 Time 0.617 (0.648) Data 0.005 (0.022) Loss 0.0000 (0.0121)
[08/16 10:30:22] VideoClip INFO: Epoch: [16][190/400], lr: 2.82e-05, eta: 0:58:19 Time 0.618 (0.647) Data 0.007 (0.022) Loss 0.0000 (0.0133)
[08/16 10:30:28] VideoClip INFO: Epoch: [16][200/400], lr: 2.81e-05, eta: 0:58:07 Time 0.603 (0.646) Data 0.005 (0.021) Loss 0.0000 (0.0134)
[08/16 10:30:34] VideoClip INFO: Epoch: [16][210/400], lr: 2.81e-05, eta: 0:57:54 Time 0.612 (0.645) Data 0.007 (0.020) Loss 0.0021 (0.0128)
[08/16 10:30:41] VideoClip INFO: Epoch: [16][220/400], lr: 2.80e-05, eta: 0:57:42 Time 0.613 (0.643) Data 0.008 (0.020) Loss 0.0000 (0.0123)
[08/16 10:30:47] VideoClip INFO: Epoch: [16][230/400], lr: 2.79e-05, eta: 0:57:30 Time 0.613 (0.642) Data 0.007 (0.019) Loss 0.0001 (0.0118)
[08/16 10:30:53] VideoClip INFO: Epoch: [16][240/400], lr: 2.78e-05, eta: 0:57:19 Time 0.613 (0.642) Data 0.007 (0.019) Loss 0.0000 (0.0113)
[08/16 10:30:59] VideoClip INFO: Epoch: [16][250/400], lr: 2.78e-05, eta: 0:57:08 Time 0.612 (0.641) Data 0.010 (0.018) Loss 0.0001 (0.0110)
[08/16 10:31:05] VideoClip INFO: Epoch: [16][260/400], lr: 2.77e-05, eta: 0:56:57 Time 0.616 (0.640) Data 0.007 (0.018) Loss 0.1811 (0.0113)
[08/16 10:31:12] VideoClip INFO: Epoch: [16][270/400], lr: 2.76e-05, eta: 0:56:46 Time 0.626 (0.639) Data 0.006 (0.017) Loss 0.0000 (0.0109)
[08/16 10:31:18] VideoClip INFO: Epoch: [16][280/400], lr: 2.75e-05, eta: 0:56:36 Time 0.621 (0.638) Data 0.007 (0.017) Loss 0.0001 (0.0105)
[08/16 10:31:24] VideoClip INFO: Epoch: [16][290/400], lr: 2.74e-05, eta: 0:56:26 Time 0.623 (0.638) Data 0.007 (0.017) Loss 0.0057 (0.0102)
[08/16 10:31:30] VideoClip INFO: Epoch: [16][300/400], lr: 2.74e-05, eta: 0:56:16 Time 0.614 (0.637) Data 0.008 (0.016) Loss 0.0000 (0.0099)
[08/16 10:31:36] VideoClip INFO: Epoch: [16][310/400], lr: 2.73e-05, eta: 0:56:07 Time 0.609 (0.636) Data 0.007 (0.016) Loss 0.1423 (0.0119)
[08/16 10:31:43] VideoClip INFO: Epoch: [16][320/400], lr: 2.72e-05, eta: 0:55:58 Time 0.625 (0.636) Data 0.006 (0.016) Loss 0.0000 (0.0115)
[08/16 10:31:49] VideoClip INFO: Epoch: [16][330/400], lr: 2.71e-05, eta: 0:55:49 Time 0.605 (0.635) Data 0.006 (0.016) Loss 0.0004 (0.0112)
[08/16 10:31:55] VideoClip INFO: Epoch: [16][340/400], lr: 2.70e-05, eta: 0:55:40 Time 0.613 (0.635) Data 0.007 (0.015) Loss 0.0000 (0.0115)
[08/16 10:32:01] VideoClip INFO: Epoch: [16][350/400], lr: 2.70e-05, eta: 0:55:32 Time 0.617 (0.635) Data 0.013 (0.015) Loss 0.0089 (0.0114)
[08/16 10:32:07] VideoClip INFO: Epoch: [16][360/400], lr: 2.69e-05, eta: 0:55:24 Time 0.640 (0.634) Data 0.005 (0.015) Loss 0.0000 (0.0111)
[08/16 10:32:14] VideoClip INFO: Epoch: [16][370/400], lr: 2.68e-05, eta: 0:55:16 Time 0.613 (0.634) Data 0.011 (0.015) Loss 0.0000 (0.0111)
[08/16 10:32:20] VideoClip INFO: Epoch: [16][380/400], lr: 2.67e-05, eta: 0:55:07 Time 0.607 (0.634) Data 0.007 (0.015) Loss 0.0002 (0.0118)
[08/16 10:32:26] VideoClip INFO: Epoch: [16][390/400], lr: 2.67e-05, eta: 0:54:59 Time 0.620 (0.633) Data 0.007 (0.014) Loss 0.0000 (0.0115)
[08/16 10:32:38] VideoClip INFO: Epoch: [17][0/400], lr: 2.66e-05, eta: 7:57:39 Time 5.510 (5.510) Data 3.267 (3.267) Loss 0.0000 (0.0000)
[08/16 10:32:44] VideoClip INFO: Epoch: [17][10/400], lr: 2.65e-05, eta: 1:32:12 Time 0.613 (1.066) Data 0.010 (0.306) Loss 0.0278 (0.0039)
[08/16 10:32:50] VideoClip INFO: Epoch: [17][20/400], lr: 2.64e-05, eta: 1:13:39 Time 0.616 (0.853) Data 0.007 (0.164) Loss 0.0001 (0.0166)
[08/16 10:32:56] VideoClip INFO: Epoch: [17][30/400], lr: 2.63e-05, eta: 1:07:04 Time 0.615 (0.778) Data 0.008 (0.114) Loss 0.0000 (0.0244)
[08/16 10:33:03] VideoClip INFO: Epoch: [17][40/400], lr: 2.63e-05, eta: 1:03:40 Time 0.599 (0.740) Data 0.005 (0.088) Loss 0.0000 (0.0186)
[08/16 10:33:09] VideoClip INFO: Epoch: [17][50/400], lr: 2.62e-05, eta: 1:01:29 Time 0.617 (0.716) Data 0.006 (0.072) Loss 0.0011 (0.0152)
[08/16 10:33:15] VideoClip INFO: Epoch: [17][60/400], lr: 2.61e-05, eta: 1:00:00 Time 0.617 (0.700) Data 0.006 (0.061) Loss 0.0002 (0.0153)
[08/16 10:33:21] VideoClip INFO: Epoch: [17][70/400], lr: 2.60e-05, eta: 0:58:52 Time 0.614 (0.689) Data 0.009 (0.054) Loss 0.0005 (0.0132)
[08/16 10:33:27] VideoClip INFO: Epoch: [17][80/400], lr: 2.60e-05, eta: 0:58:06 Time 0.626 (0.681) Data 0.006 (0.048) Loss 0.0000 (0.0231)
[08/16 10:33:34] VideoClip INFO: Epoch: [17][90/400], lr: 2.59e-05, eta: 0:57:25 Time 0.616 (0.674) Data 0.007 (0.044) Loss 0.3980 (0.0250)
[08/16 10:33:40] VideoClip INFO: Epoch: [17][100/400], lr: 2.58e-05, eta: 0:56:48 Time 0.607 (0.668) Data 0.007 (0.040) Loss 0.0000 (0.0246)
[08/16 10:33:46] VideoClip INFO: Epoch: [17][110/400], lr: 2.57e-05, eta: 0:56:18 Time 0.614 (0.664) Data 0.007 (0.037) Loss 0.0000 (0.0270)
[08/16 10:33:52] VideoClip INFO: Epoch: [17][120/400], lr: 2.56e-05, eta: 0:55:55 Time 0.621 (0.660) Data 0.005 (0.035) Loss 0.0002 (0.0248)
[08/16 10:33:58] VideoClip INFO: Epoch: [17][130/400], lr: 2.56e-05, eta: 0:55:34 Time 0.616 (0.658) Data 0.007 (0.032) Loss 0.0000 (0.0250)
[08/16 10:34:05] VideoClip INFO: Epoch: [17][140/400], lr: 2.55e-05, eta: 0:55:13 Time 0.611 (0.655) Data 0.007 (0.031) Loss 0.0002 (0.0233)
[08/16 10:34:11] VideoClip INFO: Epoch: [17][150/400], lr: 2.54e-05, eta: 0:54:56 Time 0.617 (0.653) Data 0.007 (0.029) Loss 0.0002 (0.0223)
[08/16 10:34:17] VideoClip INFO: Epoch: [17][160/400], lr: 2.53e-05, eta: 0:54:40 Time 0.644 (0.651) Data 0.006 (0.028) Loss 0.0001 (0.0209)
[08/16 10:34:23] VideoClip INFO: Epoch: [17][170/400], lr: 2.52e-05, eta: 0:54:25 Time 0.611 (0.649) Data 0.008 (0.027) Loss 0.0036 (0.0199)
[08/16 10:34:29] VideoClip INFO: Epoch: [17][180/400], lr: 2.52e-05, eta: 0:54:10 Time 0.618 (0.647) Data 0.007 (0.026) Loss 0.0000 (0.0191)
[08/16 10:34:36] VideoClip INFO: Epoch: [17][190/400], lr: 2.51e-05, eta: 0:53:56 Time 0.617 (0.646) Data 0.007 (0.025) Loss 0.0003 (0.0181)
[08/16 10:34:42] VideoClip INFO: Epoch: [17][200/400], lr: 2.50e-05, eta: 0:53:45 Time 0.636 (0.645) Data 0.007 (0.024) Loss 0.0039 (0.0173)
[08/16 10:34:48] VideoClip INFO: Epoch: [17][210/400], lr: 2.49e-05, eta: 0:53:32 Time 0.609 (0.644) Data 0.007 (0.023) Loss 0.0000 (0.0167)
[08/16 10:34:54] VideoClip INFO: Epoch: [17][220/400], lr: 2.49e-05, eta: 0:53:20 Time 0.614 (0.642) Data 0.007 (0.022) Loss 0.0000 (0.0160)
[08/16 10:35:00] VideoClip INFO: Epoch: [17][230/400], lr: 2.48e-05, eta: 0:53:08 Time 0.619 (0.642) Data 0.008 (0.022) Loss 0.0000 (0.0154)
[08/16 10:35:07] VideoClip INFO: Epoch: [17][240/400], lr: 2.47e-05, eta: 0:52:58 Time 0.627 (0.641) Data 0.006 (0.021) Loss 0.0000 (0.0157)
[08/16 10:35:13] VideoClip INFO: Epoch: [17][250/400], lr: 2.46e-05, eta: 0:52:48 Time 0.616 (0.640) Data 0.007 (0.021) Loss 0.0000 (0.0158)
[08/16 10:35:19] VideoClip INFO: Epoch: [17][260/400], lr: 2.45e-05, eta: 0:52:37 Time 0.607 (0.639) Data 0.007 (0.020) Loss 0.0000 (0.0158)
[08/16 10:35:25] VideoClip INFO: Epoch: [17][270/400], lr: 2.45e-05, eta: 0:52:28 Time 0.622 (0.638) Data 0.007 (0.020) Loss 0.1601 (0.0160)
[08/16 10:35:31] VideoClip INFO: Epoch: [17][280/400], lr: 2.44e-05, eta: 0:52:18 Time 0.614 (0.638) Data 0.005 (0.019) Loss 0.0000 (0.0154)
[08/16 10:35:38] VideoClip INFO: Epoch: [17][290/400], lr: 2.43e-05, eta: 0:52:08 Time 0.609 (0.637) Data 0.007 (0.019) Loss 0.0000 (0.0150)
[08/16 10:35:44] VideoClip INFO: Epoch: [17][300/400], lr: 2.42e-05, eta: 0:51:59 Time 0.616 (0.636) Data 0.007 (0.018) Loss 0.0000 (0.0145)
[08/16 10:35:50] VideoClip INFO: Epoch: [17][310/400], lr: 2.41e-05, eta: 0:51:50 Time 0.615 (0.636) Data 0.007 (0.018) Loss 0.0000 (0.0141)
[08/16 10:35:56] VideoClip INFO: Epoch: [17][320/400], lr: 2.41e-05, eta: 0:51:42 Time 0.640 (0.636) Data 0.006 (0.018) Loss 0.0001 (0.0138)
[08/16 10:36:02] VideoClip INFO: Epoch: [17][330/400], lr: 2.40e-05, eta: 0:51:33 Time 0.616 (0.635) Data 0.007 (0.017) Loss 0.0000 (0.0137)
[08/16 10:36:09] VideoClip INFO: Epoch: [17][340/400], lr: 2.39e-05, eta: 0:51:24 Time 0.611 (0.635) Data 0.007 (0.017) Loss 0.0000 (0.0133)
[08/16 10:36:15] VideoClip INFO: Epoch: [17][350/400], lr: 2.38e-05, eta: 0:51:15 Time 0.616 (0.634) Data 0.007 (0.017) Loss 0.0010 (0.0130)
[08/16 10:36:21] VideoClip INFO: Epoch: [17][360/400], lr: 2.38e-05, eta: 0:51:08 Time 0.617 (0.634) Data 0.005 (0.017) Loss 0.0015 (0.0132)
[08/16 10:36:27] VideoClip INFO: Epoch: [17][370/400], lr: 2.37e-05, eta: 0:51:00 Time 0.617 (0.633) Data 0.009 (0.016) Loss 0.0000 (0.0129)
[08/16 10:36:33] VideoClip INFO: Epoch: [17][380/400], lr: 2.36e-05, eta: 0:50:51 Time 0.611 (0.633) Data 0.007 (0.016) Loss 0.0000 (0.0133)
[08/16 10:36:40] VideoClip INFO: Epoch: [17][390/400], lr: 2.35e-05, eta: 0:50:43 Time 0.612 (0.633) Data 0.007 (0.016) Loss 0.0001 (0.0133)
[08/16 10:36:52] VideoClip INFO: Epoch: [18][0/400], lr: 2.34e-05, eta: 8:06:50 Time 6.084 (6.084) Data 1.861 (1.861) Loss 0.0000 (0.0000)
[08/16 10:36:58] VideoClip INFO: Epoch: [18][10/400], lr: 2.34e-05, eta: 1:29:19 Time 0.610 (1.119) Data 0.008 (0.176) Loss 0.0000 (0.0005)
[08/16 10:37:04] VideoClip INFO: Epoch: [18][20/400], lr: 2.33e-05, eta: 1:10:14 Time 0.620 (0.881) Data 0.013 (0.096) Loss 0.0860 (0.0310)
[08/16 10:37:11] VideoClip INFO: Epoch: [18][30/400], lr: 2.32e-05, eta: 1:03:19 Time 0.609 (0.796) Data 0.013 (0.069) Loss 0.0001 (0.0211)
[08/16 10:37:17] VideoClip INFO: Epoch: [18][40/400], lr: 2.31e-05, eta: 0:59:57 Time 0.646 (0.756) Data 0.005 (0.054) Loss 0.0001 (0.0160)
[08/16 10:37:23] VideoClip INFO: Epoch: [18][50/400], lr: 2.30e-05, eta: 0:57:46 Time 0.615 (0.730) Data 0.008 (0.045) Loss 0.0000 (0.0133)
[08/16 10:37:29] VideoClip INFO: Epoch: [18][60/400], lr: 2.30e-05, eta: 0:56:16 Time 0.614 (0.712) Data 0.006 (0.039) Loss 0.0284 (0.0117)
[08/16 10:37:36] VideoClip INFO: Epoch: [18][70/400], lr: 2.29e-05, eta: 0:55:10 Time 0.619 (0.700) Data 0.010 (0.035) Loss 0.0000 (0.0116)
[08/16 10:37:42] VideoClip INFO: Epoch: [18][80/400], lr: 2.28e-05, eta: 0:54:23 Time 0.642 (0.691) Data 0.006 (0.031) Loss 0.0025 (0.0162)
[08/16 10:37:48] VideoClip INFO: Epoch: [18][90/400], lr: 2.27e-05, eta: 0:53:41 Time 0.625 (0.684) Data 0.008 (0.029) Loss 0.0000 (0.0146)
[08/16 10:37:54] VideoClip INFO: Epoch: [18][100/400], lr: 2.27e-05, eta: 0:53:05 Time 0.622 (0.678) Data 0.012 (0.027) Loss 0.0002 (0.0131)
[08/16 10:38:00] VideoClip INFO: Epoch: [18][110/400], lr: 2.26e-05, eta: 0:52:34 Time 0.622 (0.672) Data 0.009 (0.025) Loss 0.0000 (0.0182)
[08/16 10:38:07] VideoClip INFO: Epoch: [18][120/400], lr: 2.25e-05, eta: 0:52:10 Time 0.620 (0.669) Data 0.006 (0.024) Loss 0.0000 (0.0167)
[08/16 10:38:13] VideoClip INFO: Epoch: [18][130/400], lr: 2.24e-05, eta: 0:51:46 Time 0.613 (0.665) Data 0.010 (0.022) Loss 0.0000 (0.0158)
[08/16 10:38:19] VideoClip INFO: Epoch: [18][140/400], lr: 2.23e-05, eta: 0:51:24 Time 0.609 (0.662) Data 0.006 (0.021) Loss 0.0000 (0.0148)
[08/16 10:38:25] VideoClip INFO: Epoch: [18][150/400], lr: 2.23e-05, eta: 0:51:05 Time 0.612 (0.659) Data 0.014 (0.021) Loss 0.0000 (0.0138)
[08/16 10:38:32] VideoClip INFO: Epoch: [18][160/400], lr: 2.22e-05, eta: 0:50:49 Time 0.623 (0.657) Data 0.008 (0.020) Loss 0.0352 (0.0134)
[08/16 10:38:38] VideoClip INFO: Epoch: [18][170/400], lr: 2.21e-05, eta: 0:50:34 Time 0.626 (0.655) Data 0.013 (0.019) Loss 0.0000 (0.0133)
[08/16 10:38:44] VideoClip INFO: Epoch: [18][180/400], lr: 2.20e-05, eta: 0:50:18 Time 0.618 (0.653) Data 0.008 (0.019) Loss 0.0000 (0.0134)
[08/16 10:38:50] VideoClip INFO: Epoch: [18][190/400], lr: 2.20e-05, eta: 0:50:04 Time 0.620 (0.652) Data 0.008 (0.018) Loss 0.0000 (0.0133)
[08/16 10:38:57] VideoClip INFO: Epoch: [18][200/400], lr: 2.19e-05, eta: 0:49:51 Time 0.629 (0.650) Data 0.006 (0.018) Loss 0.0000 (0.0128)
[08/16 10:39:03] VideoClip INFO: Epoch: [18][210/400], lr: 2.18e-05, eta: 0:49:38 Time 0.621 (0.649) Data 0.008 (0.017) Loss 0.0001 (0.0160)
[08/16 10:39:09] VideoClip INFO: Epoch: [18][220/400], lr: 2.17e-05, eta: 0:49:26 Time 0.623 (0.648) Data 0.007 (0.017) Loss 0.0000 (0.0153)
[08/16 10:39:15] VideoClip INFO: Epoch: [18][230/400], lr: 2.16e-05, eta: 0:49:14 Time 0.613 (0.646) Data 0.008 (0.016) Loss 0.0012 (0.0147)
[08/16 10:39:21] VideoClip INFO: Epoch: [18][240/400], lr: 2.16e-05, eta: 0:49:02 Time 0.620 (0.645) Data 0.006 (0.016) Loss 0.0000 (0.0141)
[08/16 10:39:28] VideoClip INFO: Epoch: [18][250/400], lr: 2.15e-05, eta: 0:48:52 Time 0.608 (0.644) Data 0.009 (0.016) Loss 0.0000 (0.0135)
[08/16 10:39:34] VideoClip INFO: Epoch: [18][260/400], lr: 2.14e-05, eta: 0:48:41 Time 0.614 (0.643) Data 0.007 (0.015) Loss 0.0002 (0.0133)
[08/16 10:39:40] VideoClip INFO: Epoch: [18][270/400], lr: 2.13e-05, eta: 0:48:31 Time 0.612 (0.643) Data 0.008 (0.015) Loss 0.0000 (0.0137)
[08/16 10:39:46] VideoClip INFO: Epoch: [18][280/400], lr: 2.13e-05, eta: 0:48:21 Time 0.613 (0.642) Data 0.005 (0.015) Loss 0.0000 (0.0133)
[08/16 10:39:52] VideoClip INFO: Epoch: [18][290/400], lr: 2.12e-05, eta: 0:48:12 Time 0.616 (0.641) Data 0.009 (0.015) Loss 0.0004 (0.0133)
[08/16 10:39:59] VideoClip INFO: Epoch: [18][300/400], lr: 2.11e-05, eta: 0:48:02 Time 0.608 (0.640) Data 0.006 (0.014) Loss 0.0000 (0.0129)
[08/16 10:40:05] VideoClip INFO: Epoch: [18][310/400], lr: 2.10e-05, eta: 0:47:53 Time 0.621 (0.640) Data 0.008 (0.014) Loss 0.0000 (0.0125)
[08/16 10:40:11] VideoClip INFO: Epoch: [18][320/400], lr: 2.09e-05, eta: 0:47:44 Time 0.614 (0.639) Data 0.006 (0.014) Loss 0.0000 (0.0123)
[08/16 10:40:17] VideoClip INFO: Epoch: [18][330/400], lr: 2.09e-05, eta: 0:47:36 Time 0.615 (0.639) Data 0.009 (0.014) Loss 0.0000 (0.0124)
[08/16 10:40:24] VideoClip INFO: Epoch: [18][340/400], lr: 2.08e-05, eta: 0:47:27 Time 0.613 (0.638) Data 0.006 (0.014) Loss 0.0000 (0.0120)
[08/16 10:40:30] VideoClip INFO: Epoch: [18][350/400], lr: 2.07e-05, eta: 0:47:18 Time 0.614 (0.638) Data 0.010 (0.013) Loss 0.0000 (0.0118)
[08/16 10:40:36] VideoClip INFO: Epoch: [18][360/400], lr: 2.06e-05, eta: 0:47:11 Time 0.642 (0.638) Data 0.010 (0.013) Loss 0.0000 (0.0115)
[08/16 10:40:42] VideoClip INFO: Epoch: [18][370/400], lr: 2.06e-05, eta: 0:47:02 Time 0.614 (0.637) Data 0.009 (0.013) Loss 0.0104 (0.0119)
[08/16 10:40:48] VideoClip INFO: Epoch: [18][380/400], lr: 2.05e-05, eta: 0:46:54 Time 0.610 (0.637) Data 0.006 (0.013) Loss 0.0000 (0.0117)
[08/16 10:40:55] VideoClip INFO: Epoch: [18][390/400], lr: 2.04e-05, eta: 0:46:46 Time 0.617 (0.636) Data 0.010 (0.013) Loss 0.0000 (0.0114)
[08/16 10:41:07] VideoClip INFO: Epoch: [19][0/400], lr: 2.03e-05, eta: 7:07:26 Time 5.827 (5.827) Data 2.551 (2.551) Loss 0.0000 (0.0000)
[08/16 10:41:13] VideoClip INFO: Epoch: [19][10/400], lr: 2.02e-05, eta: 1:20:26 Time 0.624 (1.099) Data 0.009 (0.238) Loss 0.0000 (0.0048)
[08/16 10:41:19] VideoClip INFO: Epoch: [19][20/400], lr: 2.02e-05, eta: 1:03:49 Time 0.622 (0.874) Data 0.007 (0.128) Loss 0.0000 (0.0029)
[08/16 10:41:25] VideoClip INFO: Epoch: [19][30/400], lr: 2.01e-05, eta: 0:57:44 Time 0.622 (0.793) Data 0.010 (0.089) Loss 0.0000 (0.0074)
[08/16 10:41:32] VideoClip INFO: Epoch: [19][40/400], lr: 2.00e-05, eta: 0:54:41 Time 0.626 (0.752) Data 0.005 (0.069) Loss 0.0000 (0.0079)
[08/16 10:41:38] VideoClip INFO: Epoch: [19][50/400], lr: 1.99e-05, eta: 0:52:40 Time 0.620 (0.726) Data 0.005 (0.057) Loss 0.0026 (0.0077)
[08/16 10:41:44] VideoClip INFO: Epoch: [19][60/400], lr: 1.99e-05, eta: 0:51:18 Time 0.620 (0.709) Data 0.006 (0.049) Loss 0.0468 (0.0074)
[08/16 10:41:50] VideoClip INFO: Epoch: [19][70/400], lr: 1.98e-05, eta: 0:50:15 Time 0.618 (0.696) Data 0.006 (0.043) Loss 0.0013 (0.0064)
[08/16 10:41:57] VideoClip INFO: Epoch: [19][80/400], lr: 1.97e-05, eta: 0:49:32 Time 0.653 (0.688) Data 0.005 (0.039) Loss 0.0001 (0.0057)
[08/16 10:42:03] VideoClip INFO: Epoch: [19][90/400], lr: 1.96e-05, eta: 0:48:54 Time 0.618 (0.681) Data 0.011 (0.035) Loss 0.0000 (0.0051)
[08/16 10:42:09] VideoClip INFO: Epoch: [19][100/400], lr: 1.96e-05, eta: 0:48:21 Time 0.612 (0.675) Data 0.006 (0.032) Loss 0.0010 (0.0046)
[08/16 10:42:15] VideoClip INFO: Epoch: [19][110/400], lr: 1.95e-05, eta: 0:47:55 Time 0.624 (0.670) Data 0.006 (0.030) Loss 0.0002 (0.0042)
[08/16 10:42:21] VideoClip INFO: Epoch: [19][120/400], lr: 1.94e-05, eta: 0:47:31 Time 0.617 (0.666) Data 0.005 (0.028) Loss 0.0008 (0.0040)
[08/16 10:42:28] VideoClip INFO: Epoch: [19][130/400], lr: 1.93e-05, eta: 0:47:08 Time 0.616 (0.662) Data 0.012 (0.026) Loss 0.0000 (0.0038)
[08/16 10:42:34] VideoClip INFO: Epoch: [19][140/400], lr: 1.92e-05, eta: 0:46:48 Time 0.618 (0.659) Data 0.007 (0.025) Loss 0.0012 (0.0038)
[08/16 10:42:40] VideoClip INFO: Epoch: [19][150/400], lr: 1.92e-05, eta: 0:46:30 Time 0.618 (0.657) Data 0.012 (0.024) Loss 0.0000 (0.0036)
[08/16 10:42:46] VideoClip INFO: Epoch: [19][160/400], lr: 1.91e-05, eta: 0:46:16 Time 0.636 (0.655) Data 0.010 (0.023) Loss 0.0001 (0.0074)
[08/16 10:42:53] VideoClip INFO: Epoch: [19][170/400], lr: 1.90e-05, eta: 0:46:01 Time 0.609 (0.653) Data 0.006 (0.022) Loss 0.0000 (0.0070)
[08/16 10:42:59] VideoClip INFO: Epoch: [19][180/400], lr: 1.89e-05, eta: 0:45:47 Time 0.609 (0.651) Data 0.007 (0.021) Loss 0.0005 (0.0067)
[08/16 10:43:05] VideoClip INFO: Epoch: [19][190/400], lr: 1.89e-05, eta: 0:45:32 Time 0.626 (0.649) Data 0.005 (0.021) Loss 0.0000 (0.0064)
[08/16 10:43:11] VideoClip INFO: Epoch: [19][200/400], lr: 1.88e-05, eta: 0:45:21 Time 0.634 (0.648) Data 0.005 (0.020) Loss 0.0040 (0.0062)
[08/16 10:43:17] VideoClip INFO: Epoch: [19][210/400], lr: 1.87e-05, eta: 0:45:09 Time 0.612 (0.646) Data 0.007 (0.019) Loss 0.0000 (0.0061)
[08/16 10:43:23] VideoClip INFO: Epoch: [19][220/400], lr: 1.86e-05, eta: 0:44:57 Time 0.615 (0.645) Data 0.006 (0.019) Loss 0.0006 (0.0058)
[08/16 10:43:30] VideoClip INFO: Epoch: [19][230/400], lr: 1.86e-05, eta: 0:44:46 Time 0.614 (0.644) Data 0.008 (0.018) Loss 0.0000 (0.0068)
[08/16 10:43:36] VideoClip INFO: Epoch: [19][240/400], lr: 1.85e-05, eta: 0:44:37 Time 0.641 (0.644) Data 0.005 (0.018) Loss 0.0004 (0.0066)
[08/16 10:43:42] VideoClip INFO: Epoch: [19][250/400], lr: 1.84e-05, eta: 0:44:26 Time 0.610 (0.642) Data 0.008 (0.017) Loss 0.0000 (0.0064)
[08/16 10:43:48] VideoClip INFO: Epoch: [19][260/400], lr: 1.83e-05, eta: 0:44:16 Time 0.609 (0.642) Data 0.006 (0.017) Loss 0.0000 (0.0062)
[08/16 10:43:55] VideoClip INFO: Epoch: [19][270/400], lr: 1.83e-05, eta: 0:44:06 Time 0.617 (0.641) Data 0.010 (0.017) Loss 0.0000 (0.0060)
[08/16 10:44:01] VideoClip INFO: Epoch: [19][280/400], lr: 1.82e-05, eta: 0:43:58 Time 0.627 (0.640) Data 0.007 (0.016) Loss 0.0000 (0.0058)
[08/16 10:44:07] VideoClip INFO: Epoch: [19][290/400], lr: 1.81e-05, eta: 0:43:48 Time 0.612 (0.640) Data 0.007 (0.016) Loss 0.0001 (0.0056)
[08/16 10:44:13] VideoClip INFO: Epoch: [19][300/400], lr: 1.80e-05, eta: 0:43:39 Time 0.612 (0.639) Data 0.005 (0.016) Loss 0.0000 (0.0054)
[08/16 10:44:19] VideoClip INFO: Epoch: [19][310/400], lr: 1.80e-05, eta: 0:43:30 Time 0.608 (0.638) Data 0.007 (0.015) Loss 0.0001 (0.0053)
[08/16 10:44:26] VideoClip INFO: Epoch: [19][320/400], lr: 1.79e-05, eta: 0:43:22 Time 0.637 (0.638) Data 0.006 (0.015) Loss 0.0000 (0.0052)
[08/16 10:44:32] VideoClip INFO: Epoch: [19][330/400], lr: 1.78e-05, eta: 0:43:13 Time 0.617 (0.637) Data 0.009 (0.015) Loss 0.0001 (0.0052)
[08/16 10:44:38] VideoClip INFO: Epoch: [19][340/400], lr: 1.77e-05, eta: 0:43:04 Time 0.617 (0.636) Data 0.006 (0.015) Loss 0.0091 (0.0050)
[08/16 10:44:44] VideoClip INFO: Epoch: [19][350/400], lr: 1.77e-05, eta: 0:42:55 Time 0.606 (0.636) Data 0.007 (0.014) Loss 0.0001 (0.0049)
[08/16 10:44:50] VideoClip INFO: Epoch: [19][360/400], lr: 1.76e-05, eta: 0:42:47 Time 0.629 (0.635) Data 0.005 (0.014) Loss 0.0000 (0.0048)
[08/16 10:44:56] VideoClip INFO: Epoch: [19][370/400], lr: 1.75e-05, eta: 0:42:39 Time 0.609 (0.635) Data 0.007 (0.014) Loss 0.0001 (0.0047)
[08/16 10:45:03] VideoClip INFO: Epoch: [19][380/400], lr: 1.74e-05, eta: 0:42:31 Time 0.618 (0.635) Data 0.008 (0.014) Loss 0.0002 (0.0046)
[08/16 10:45:09] VideoClip INFO: Epoch: [19][390/400], lr: 1.74e-05, eta: 0:42:23 Time 0.626 (0.634) Data 0.011 (0.014) Loss 0.0000 (0.0048)
[08/16 10:45:21] VideoClip INFO: Test: [0/154] Prec@1 100.000 (100.000) Prec@5 100.000 (100.000)
[08/16 10:45:23] VideoClip INFO: Test: [10/154] Prec@1 93.750 (90.909) Prec@5 100.000 (99.148)
[08/16 10:45:24] VideoClip INFO: Test: [20/154] Prec@1 96.875 (93.006) Prec@5 100.000 (99.405)
[08/16 10:45:26] VideoClip INFO: Test: [30/154] Prec@1 93.750 (93.448) Prec@5 100.000 (99.496)
[08/16 10:45:28] VideoClip INFO: Test: [40/154] Prec@1 84.375 (92.912) Prec@5 100.000 (99.466)
[08/16 10:45:30] VideoClip INFO: Test: [50/154] Prec@1 87.500 (92.708) Prec@5 96.875 (99.203)
[08/16 10:45:32] VideoClip INFO: Test: [60/154] Prec@1 96.875 (92.828) Prec@5 96.875 (99.078)
[08/16 10:45:33] VideoClip INFO: Test: [70/154] Prec@1 100.000 (92.782) Prec@5 100.000 (99.032)
[08/16 10:45:35] VideoClip INFO: Test: [80/154] Prec@1 81.250 (92.785) Prec@5 100.000 (99.151)
[08/16 10:45:37] VideoClip INFO: Test: [90/154] Prec@1 96.875 (92.926) Prec@5 100.000 (99.107)
[08/16 10:45:39] VideoClip INFO: Test: [100/154] Prec@1 96.875 (93.131) Prec@5 100.000 (99.134)
[08/16 10:45:40] VideoClip INFO: Test: [110/154] Prec@1 100.000 (93.215) Prec@5 100.000 (99.184)
[08/16 10:45:42] VideoClip INFO: Test: [120/154] Prec@1 93.750 (93.311) Prec@5 100.000 (99.174)
[08/16 10:45:44] VideoClip INFO: Test: [130/154] Prec@1 87.500 (93.249) Prec@5 96.875 (99.189)
[08/16 10:45:46] VideoClip INFO: Test: [140/154] Prec@1 84.375 (93.196) Prec@5 96.875 (99.158)
[08/16 10:45:47] VideoClip INFO: Test: [150/154] Prec@1 93.750 (93.191) Prec@5 100.000 (99.131)
[08/16 10:45:48] VideoClip INFO: Testing Results: Prec@1 93.243 Prec@5 99.127
[08/16 10:45:48] VideoClip INFO: Testing: 93.2426948051948/93.2426948051948
[08/16 10:45:48] VideoClip INFO: Saving:
[08/16 10:47:37] VideoClip INFO: Epoch: [20][0/400], lr: 1.73e-05, eta: 2:05:16 Time 1.879 (1.879) Data 1.294 (1.294) Loss 0.0055 (0.0055)
[08/16 10:47:43] VideoClip INFO: Epoch: [20][10/400], lr: 1.72e-05, eta: 0:49:14 Time 0.631 (0.740) Data 0.008 (0.127) Loss 0.0026 (0.0008)
[08/16 10:47:49] VideoClip INFO: Epoch: [20][20/400], lr: 1.71e-05, eta: 0:45:23 Time 0.613 (0.684) Data 0.009 (0.071) Loss 0.0000 (0.0031)
[08/16 10:47:56] VideoClip INFO: Epoch: [20][30/400], lr: 1.71e-05, eta: 0:43:52 Time 0.607 (0.663) Data 0.007 (0.051) Loss 0.0001 (0.0022)
[08/16 10:48:02] VideoClip INFO: Epoch: [20][40/400], lr: 1.70e-05, eta: 0:43:09 Time 0.613 (0.654) Data 0.008 (0.041) Loss 0.0000 (0.0081)
[08/16 10:48:08] VideoClip INFO: Epoch: [20][50/400], lr: 1.69e-05, eta: 0:42:36 Time 0.609 (0.647) Data 0.012 (0.035) Loss 0.0057 (0.0067)
[08/16 10:48:14] VideoClip INFO: Epoch: [20][60/400], lr: 1.68e-05, eta: 0:42:10 Time 0.605 (0.642) Data 0.009 (0.031) Loss 0.0001 (0.0056)
[08/16 10:48:20] VideoClip INFO: Epoch: [20][70/400], lr: 1.68e-05, eta: 0:41:52 Time 0.608 (0.639) Data 0.006 (0.027) Loss 0.0606 (0.0057)
[08/16 10:48:27] VideoClip INFO: Epoch: [20][80/400], lr: 1.67e-05, eta: 0:41:38 Time 0.625 (0.637) Data 0.013 (0.025) Loss 0.0017 (0.0051)
[08/16 10:48:33] VideoClip INFO: Epoch: [20][90/400], lr: 1.66e-05, eta: 0:41:25 Time 0.612 (0.635) Data 0.006 (0.024) Loss 0.0002 (0.0046)
[08/16 10:48:39] VideoClip INFO: Epoch: [20][100/400], lr: 1.65e-05, eta: 0:41:10 Time 0.615 (0.633) Data 0.008 (0.022) Loss 0.0000 (0.0049)
[08/16 10:48:45] VideoClip INFO: Epoch: [20][110/400], lr: 1.65e-05, eta: 0:40:59 Time 0.615 (0.632) Data 0.005 (0.021) Loss 0.0000 (0.0045)
[08/16 10:48:51] VideoClip INFO: Epoch: [20][120/400], lr: 1.64e-05, eta: 0:40:48 Time 0.611 (0.631) Data 0.007 (0.020) Loss 0.0002 (0.0041)
[08/16 10:48:58] VideoClip INFO: Epoch: [20][130/400], lr: 1.63e-05, eta: 0:40:38 Time 0.606 (0.630) Data 0.006 (0.019) Loss 0.0000 (0.0038)
[08/16 10:49:04] VideoClip INFO: Epoch: [20][140/400], lr: 1.62e-05, eta: 0:40:29 Time 0.611 (0.629) Data 0.007 (0.018) Loss 0.0001 (0.0050)
[08/16 10:49:10] VideoClip INFO: Epoch: [20][150/400], lr: 1.62e-05, eta: 0:40:20 Time 0.609 (0.629) Data 0.006 (0.018) Loss 0.0000 (0.0069)
[08/16 10:49:16] VideoClip INFO: Epoch: [20][160/400], lr: 1.61e-05, eta: 0:40:13 Time 0.627 (0.628) Data 0.007 (0.017) Loss 0.0008 (0.0066)
[08/16 10:49:22] VideoClip INFO: Epoch: [20][170/400], lr: 1.60e-05, eta: 0:40:04 Time 0.609 (0.628) Data 0.006 (0.016) Loss 0.0000 (0.0062)
[08/16 10:49:29] VideoClip INFO: Epoch: [20][180/400], lr: 1.60e-05, eta: 0:39:56 Time 0.614 (0.627) Data 0.010 (0.016) Loss 0.0001 (0.0059)
[08/16 10:49:35] VideoClip INFO: Epoch: [20][190/400], lr: 1.59e-05, eta: 0:39:48 Time 0.618 (0.627) Data 0.008 (0.016) Loss 0.0358 (0.0059)
[08/16 10:49:41] VideoClip INFO: Epoch: [20][200/400], lr: 1.58e-05, eta: 0:39:41 Time 0.627 (0.627) Data 0.009 (0.015) Loss 0.0000 (0.0057)
[08/16 10:49:47] VideoClip INFO: Epoch: [20][210/400], lr: 1.57e-05, eta: 0:39:34 Time 0.610 (0.626) Data 0.008 (0.015) Loss 0.0000 (0.0054)
[08/16 10:49:53] VideoClip INFO: Epoch: [20][220/400], lr: 1.57e-05, eta: 0:39:26 Time 0.622 (0.626) Data 0.008 (0.015) Loss 0.0000 (0.0052)
[08/16 10:50:00] VideoClip INFO: Epoch: [20][230/400], lr: 1.56e-05, eta: 0:39:19 Time 0.618 (0.626) Data 0.008 (0.014) Loss 0.0001 (0.0060)
[08/16 10:50:06] VideoClip INFO: Epoch: [20][240/400], lr: 1.55e-05, eta: 0:39:12 Time 0.635 (0.626) Data 0.007 (0.014) Loss 0.0000 (0.0058)
[08/16 10:50:12] VideoClip INFO: Epoch: [20][250/400], lr: 1.54e-05, eta: 0:39:05 Time 0.610 (0.625) Data 0.006 (0.014) Loss 0.0000 (0.0055)
[08/16 10:50:18] VideoClip INFO: Epoch: [20][260/400], lr: 1.54e-05, eta: 0:38:58 Time 0.614 (0.625) Data 0.009 (0.014) Loss 0.0001 (0.0055)
[08/16 10:50:24] VideoClip INFO: Epoch: [20][270/400], lr: 1.53e-05, eta: 0:38:51 Time 0.608 (0.625) Data 0.006 (0.013) Loss 0.0000 (0.0058)
[08/16 10:50:31] VideoClip INFO: Epoch: [20][280/400], lr: 1.52e-05, eta: 0:38:44 Time 0.615 (0.625) Data 0.007 (0.013) Loss 0.0000 (0.0056)
[08/16 10:50:37] VideoClip INFO: Epoch: [20][290/400], lr: 1.52e-05, eta: 0:38:38 Time 0.634 (0.625) Data 0.006 (0.013) Loss 0.0001 (0.0054)
[08/16 10:50:43] VideoClip INFO: Epoch: [20][300/400], lr: 1.51e-05, eta: 0:38:32 Time 0.619 (0.625) Data 0.007 (0.013) Loss 0.0000 (0.0082)
[08/16 10:50:49] VideoClip INFO: Epoch: [20][310/400], lr: 1.50e-05, eta: 0:38:24 Time 0.612 (0.624) Data 0.005 (0.013) Loss 0.0000 (0.0080)
[08/16 10:50:56] VideoClip INFO: Epoch: [20][320/400], lr: 1.49e-05, eta: 0:38:18 Time 0.644 (0.624) Data 0.007 (0.013) Loss 0.0000 (0.0082)
[08/16 10:51:02] VideoClip INFO: Epoch: [20][330/400], lr: 1.49e-05, eta: 0:38:12 Time 0.607 (0.624) Data 0.007 (0.013) Loss 0.0000 (0.0080)
[08/16 10:51:08] VideoClip INFO: Epoch: [20][340/400], lr: 1.48e-05, eta: 0:38:05 Time 0.609 (0.624) Data 0.008 (0.012) Loss 0.0000 (0.0091)
[08/16 10:51:14] VideoClip INFO: Epoch: [20][350/400], lr: 1.47e-05, eta: 0:37:58 Time 0.606 (0.624) Data 0.007 (0.012) Loss 0.0000 (0.0089)
[08/16 10:51:20] VideoClip INFO: Epoch: [20][360/400], lr: 1.46e-05, eta: 0:37:51 Time 0.628 (0.624) Data 0.013 (0.012) Loss 0.0000 (0.0086)
[08/16 10:51:26] VideoClip INFO: Epoch: [20][370/400], lr: 1.46e-05, eta: 0:37:44 Time 0.610 (0.624) Data 0.006 (0.012) Loss 0.0000 (0.0085)
[08/16 10:51:33] VideoClip INFO: Epoch: [20][380/400], lr: 1.45e-05, eta: 0:37:37 Time 0.619 (0.624) Data 0.008 (0.012) Loss 0.0000 (0.0084)
[08/16 10:51:39] VideoClip INFO: Epoch: [20][390/400], lr: 1.44e-05, eta: 0:37:30 Time 0.605 (0.623) Data 0.005 (0.012) Loss 0.0000 (0.0083)
[08/16 10:51:52] VideoClip INFO: Epoch: [21][0/400], lr: 1.44e-05, eta: 6:33:20 Time 6.554 (6.554) Data 2.922 (2.922) Loss 0.0010 (0.0010)
[08/16 10:51:58] VideoClip INFO: Epoch: [21][10/400], lr: 1.43e-05, eta: 1:09:41 Time 0.616 (1.165) Data 0.014 (0.275) Loss 0.0000 (0.0005)
[08/16 10:52:04] VideoClip INFO: Epoch: [21][20/400], lr: 1.42e-05, eta: 0:54:11 Time 0.618 (0.908) Data 0.014 (0.150) Loss 0.0000 (0.0003)
[08/16 10:52:10] VideoClip INFO: Epoch: [21][30/400], lr: 1.41e-05, eta: 0:48:31 Time 0.613 (0.815) Data 0.007 (0.104) Loss 0.0004 (0.0007)
[08/16 10:52:17] VideoClip INFO: Epoch: [21][40/400], lr: 1.41e-05, eta: 0:45:38 Time 0.623 (0.769) Data 0.013 (0.081) Loss 0.0164 (0.0013)
[08/16 10:52:23] VideoClip INFO: Epoch: [21][50/400], lr: 1.40e-05, eta: 0:43:48 Time 0.618 (0.740) Data 0.012 (0.067) Loss 0.0002 (0.0011)
[08/16 10:52:29] VideoClip INFO: Epoch: [21][60/400], lr: 1.39e-05, eta: 0:42:31 Time 0.613 (0.721) Data 0.006 (0.058) Loss 0.0002 (0.0011)
[08/16 10:52:35] VideoClip INFO: Epoch: [21][70/400], lr: 1.39e-05, eta: 0:41:34 Time 0.615 (0.706) Data 0.012 (0.051) Loss 0.0000 (0.0010)
[08/16 10:52:42] VideoClip INFO: Epoch: [21][80/400], lr: 1.38e-05, eta: 0:40:53 Time 0.631 (0.697) Data 0.006 (0.046) Loss 0.0000 (0.0009)
[08/16 10:52:48] VideoClip INFO: Epoch: [21][90/400], lr: 1.37e-05, eta: 0:40:16 Time 0.621 (0.688) Data 0.008 (0.042) Loss 0.0000 (0.0008)
[08/16 10:52:54] VideoClip INFO: Epoch: [21][100/400], lr: 1.37e-05, eta: 0:39:45 Time 0.614 (0.681) Data 0.008 (0.038) Loss 0.0002 (0.0008)
[08/16 10:53:00] VideoClip INFO: Epoch: [21][110/400], lr: 1.36e-05, eta: 0:39:18 Time 0.606 (0.676) Data 0.008 (0.036) Loss 0.0000 (0.0008)