ResNet101+ASL in MS-COCO #90

sorrowyn · 2022-06-23T06:07:49Z

This result is difficult to reproduce. Not only am I having a hard time solving this problem, but others are also having this problem too.
Would you share the configuration file and training log of ResNet101?
The result I report is map=82.9.

THUeeY · 2022-07-12T09:18:41Z

I also had a hard time and mine is 83.1 using resnet101 ,and I followed the tricks in #30 (comment)

sorrowyn · 2022-07-12T13:06:54Z

I also had a hard time and mine is 83.1 using resnet101 ,and I followed the tricks in #30 (comment)

Would you like to provide a training log?

THUeeY · 2022-07-13T06:28:36Z

The file of map=83.1 was deleted these, so I ran the experiment again with batch_size=6 per GPU and 48 1080Ti GPUS. The new result is mAP=82.51. I use MMclassification and the config file is as follows:

base = [
'../base/default_runtime.py'
]

work_dir = './work_dirs/resnet101_coco_baseline'
dataset_type = 'COCO'

model = dict(
type='ImageClassifier',
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(3, ),
style='pytorch',
init_cfg=dict(
type='Pretrained',
# checkpoint='./checkpoint/pvig_b_83.66.pth.tar',
# checkpoint='./checkpoint/resnet101-63fe2227.pth',
checkpoint='./checkpoint/resnet101-5d3b4d8f.pth',
# checkpoint='./checkpoint/resnet101_batch256_imagenet_20200708-753f3608.pth',
# prefix='backbone',
prefix=None,
map_location='cpu'
),
),
neck=dict(type='GlobalAveragePooling'),
head=dict(
type='LinearClsHead',
num_classes=80,
in_channels=2048,
# loss=dict(
# type='LabelSmoothLoss', label_smooth_val=0.0, mode='multi_label'),
loss=dict(type='AsymmetricLoss',
gamma_pos=0.0,
gamma_neg=4.0,
clip=0.05,
# reduction='sum',
),
topk=(1, 5),
))

img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
policies = [
dict(type='AutoContrast'),
dict(type='Equalize'),
dict(type='Invert'),
dict(type='Rotate', magnitude_key='angle', magnitude_range=(0, 30)),
dict(type='Posterize', magnitude_key='bits', magnitude_range=(4, 0)),
dict(type='Solarize', magnitude_key='thr', magnitude_range=(256, 0)),
dict(
type='SolarizeAdd',
magnitude_key='magnitude',
magnitude_range=(0, 110)),
dict(
type='ColorTransform',
magnitude_key='magnitude',
magnitude_range=(0, 0.9)),
dict(type='Contrast', magnitude_key='magnitude', magnitude_range=(0, 0.9)),
dict(
type='Brightness', magnitude_key='magnitude',
magnitude_range=(0, 0.9)),
dict(
type='Sharpness', magnitude_key='magnitude', magnitude_range=(0, 0.9)),
dict(
type='Shear',
magnitude_key='magnitude',
magnitude_range=(0, 0.3),
direction='horizontal'),
dict(
type='Shear',
magnitude_key='magnitude',
magnitude_range=(0, 0.3),
direction='vertical'),
dict(
type='Translate',
magnitude_key='magnitude',
magnitude_range=(0, 0.45),
direction='horizontal'),
dict(
type='Translate',
magnitude_key='magnitude',
magnitude_range=(0, 0.45),
direction='vertical')
]

crop_size=576

train_pipeline = [
dict(type='LoadImageFromFile'),
dict(
type='RandAugment',
policies=policies,
num_policies=2,
magnitude_level=12),
dict(
type='Resize',
size=crop_size,
backend='pillow',
interpolation='bicubic'),
# dict(type='Pad', size=(276, 212)),
# dict(type='RandomCrop', size=crop_size),
dict(type='RandomFlip', flip_prob=0.5, direction='horizontal'),
dict(
type='RandomErasing',
erase_prob=1.0,
mode='rand',
min_area_ratio=0.02,
max_area_ratio=1 / 2,
fill_color=img_norm_cfg['mean'][::-1],
fill_std=img_norm_cfg['std'][::-1]),
# dict(type='ColorJitter', brightness=0.4, contrast=0.4, saturation=0.4),
dict(type='Normalize', **img_norm_cfg),
dict(type='ImageToTensor', keys=['img']),
dict(type='ToTensor', keys=['gt_label']),
dict(type='Collect', keys=['img',
'gt_label',
])
]

test_pipeline = [
dict(type='LoadImageFromFile'),
dict(
type='Resize',
size=crop_size,
backend='pillow',
interpolation='bicubic'),
# dict(type='CenterCrop', crop_size=224),
dict(type='Normalize', **img_norm_cfg),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img'])
]

data = dict(
samples_per_gpu=6,
# samples_per_gpu=8,
workers_per_gpu=2,
train=
dict(
type=dataset_type,
data_prefix='../0data/coco/train2014',
ann_file='../0data/coco/train.data',
pipeline=train_pipeline),
val=dict(
type=dataset_type,
data_prefix='../0data/coco/val2014',
ann_file='../0data/coco/val_test.data',
pipeline=test_pipeline,
test_mode=True),
test=
dict(
type=dataset_type,
data_prefix='../0data/coco/val2014',
ann_file='../0data/coco/val_test.data',
pipeline=test_pipeline,
test_mode=True),
)
evaluation = dict(interval=1, metric='accuracy',save_best='mAP')
runner = dict(type='EpochBasedRunner', max_epochs=80)
paramwise_cfg = dict(
norm_decay_mult=0.0,
bias_decay_mult=0.0,
# custom_keys={
# 'backbone.backbone': dict(lr_mult=0.1),
# '.absolute_pos_embed': dict(decay_mult=0.0),
# '.relative_position_bias_table': dict(decay_mult=0.0),
# 'head': dict(decay_mult=10.0)
# }
)
# for batch in each gpu is 128, 8 gpu
# lr = 5e-4 * 128 * 8 / 512 = 0.001
optimizer = dict(
type='Adam',
# lr=5e-4 * 128 * 8 / 512,
lr=1e-4,
# weight_decay=0.05,
weight_decay=1e-4,
eps=1e-8,
betas=(0.9, 0.999),
paramwise_cfg=paramwise_cfg)
# optimizer_config = dict(grad_clip=dict(max_norm=5.0))
optimizer_config = dict(grad_clip=None)

# learning policy
lr_config = dict(
policy='OneCycle',
by_epoch=False,
max_lr=1e-4,
pct_start=0.2,
warmup='linear',
warmup_ratio=1e-3,
warmup_iters=5,
warmup_by_epoch=True)

# checkpoint saving
checkpoint_config = dict(interval=1)
# yapf:disable
log_config = dict(
interval=50,
hooks=[
dict(type='TextLoggerHook'),
dict(type='TensorboardLoggerHook')
])
# yapf:enable
# (1-0.00033)^575=0.82
custom_hooks = [dict(type='EMAHook', momentum=0.00033, priority='HIGH')]

dist_params = dict(backend='nccl')
log_level = 'INFO'

workflow = [('train', 1)]

THUeeY · 2022-07-13T06:35:55Z

The training log is:

2022-07-13 10:38:26,914 - mmcls - INFO - workflow: [('train', 1)], max: 80 epochs
2022-07-13 10:38:26,978 - mmcls - INFO - Checkpoints will be saved to /work_dirs/resnet101_coco_asy by HardDiskBackend.
2022-07-13 10:39:03,862 - mmcls - INFO - Epoch [1][50/575] lr: 7.223e-08, eta: 6:53:14, time: 0.540, data_time: 0.052, memory: 5854, loss: 4.0179
2022-07-13 10:39:27,060 - mmcls - INFO - Epoch [1][100/575] lr: 1.426e-07, eta: 6:24:20, time: 0.465, data_time: 0.013, memory: 5854, loss: 3.9678
2022-07-13 10:39:50,279 - mmcls - INFO - Epoch [1][150/575] lr: 2.144e-07, eta: 6:14:00, time: 0.463, data_time: 0.013, memory: 5854, loss: 3.9701
2022-07-13 10:40:13,278 - mmcls - INFO - Epoch [1][200/575] lr: 2.884e-07, eta: 6:08:04, time: 0.461, data_time: 0.013, memory: 5854, loss: 3.8924
2022-07-13 10:40:36,659 - mmcls - INFO - Epoch [1][250/575] lr: 3.653e-07, eta: 6:05:23, time: 0.467, data_time: 0.013, memory: 5854, loss: 3.8476
2022-07-13 10:40:59,880 - mmcls - INFO - Epoch [1][300/575] lr: 4.458e-07, eta: 6:03:10, time: 0.465, data_time: 0.014, memory: 5854, loss: 3.7666
2022-07-13 10:41:22,740 - mmcls - INFO - Epoch [1][350/575] lr: 5.307e-07, eta: 6:00:38, time: 0.457, data_time: 0.012, memory: 5854, loss: 3.6736
2022-07-13 10:41:46,144 - mmcls - INFO - Epoch [1][400/575] lr: 6.207e-07, eta: 5:59:39, time: 0.468, data_time: 0.013, memory: 5854, loss: 3.5458
2022-07-13 10:42:09,420 - mmcls - INFO - Epoch [1][450/575] lr: 7.165e-07, eta: 5:58:37, time: 0.466, data_time: 0.013, memory: 5854, loss: 3.4850
2022-07-13 10:42:32,313 - mmcls - INFO - Epoch [1][500/575] lr: 8.188e-07, eta: 5:57:07, time: 0.458, data_time: 0.012, memory: 5854, loss: 3.3873
2022-07-13 10:42:56,061 - mmcls - INFO - Epoch [1][550/575] lr: 9.284e-07, eta: 5:57:01, time: 0.475, data_time: 0.013, memory: 5854, loss: 3.2753
2022-07-13 10:43:07,441 - mmcls - INFO - Saving checkpoint at 1 epochs
2022-07-13 10:44:43,577 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_1.pth.
2022-07-13 10:44:43,629 - mmcls - INFO - Best mAP is 0.0414 at 1 epoch.
2022-07-13 10:44:43,646 - mmcls - INFO - Epoch(val) [1][282] mAP: 0.0414, CP: 0.0393, CR: 0.4560, CF1: 0.0723, OP: 0.0438, OR: 0.5543, OF1: 0.0812, CP_top3: 0.0257, CR_top3: 0.0385, OP_top3: 0.0303, CF1_top3: 0.0308, OR_top3: 0.0316, OF1_top3: 0.0310
2022-07-13 10:45:09,126 - mmcls - INFO - Epoch [2][50/575] lr: 1.108e-06, eta: 5:43:59, time: 0.501, data_time: 0.053, memory: 5854, loss: 3.1466
2022-07-13 10:45:32,024 - mmcls - INFO - Epoch [2][100/575] lr: 1.239e-06, eta: 5:43:46, time: 0.458, data_time: 0.013, memory: 5854, loss: 3.0704
2022-07-13 10:45:55,568 - mmcls - INFO - Epoch [2][150/575] lr: 1.379e-06, eta: 5:44:11, time: 0.470, data_time: 0.013, memory: 5854, loss: 2.9354
2022-07-13 10:46:18,766 - mmcls - INFO - Epoch [2][200/575] lr: 1.530e-06, eta: 5:44:10, time: 0.464, data_time: 0.014, memory: 5854, loss: 2.8690
2022-07-13 10:46:41,732 - mmcls - INFO - Epoch [2][250/575] lr: 1.692e-06, eta: 5:43:55, time: 0.460, data_time: 0.013, memory: 5854, loss: 2.7746
2022-07-13 10:47:04,748 - mmcls - INFO - Epoch [2][300/575] lr: 1.865e-06, eta: 5:43:42, time: 0.460, data_time: 0.014, memory: 5854, loss: 2.7618
2022-07-13 10:47:27,728 - mmcls - INFO - Epoch [2][350/575] lr: 2.052e-06, eta: 5:43:26, time: 0.460, data_time: 0.014, memory: 5854, loss: 2.6910
2022-07-13 10:47:50,875 - mmcls - INFO - Epoch [2][400/575] lr: 2.251e-06, eta: 5:43:16, time: 0.463, data_time: 0.013, memory: 5854, loss: 2.6674
2022-07-13 10:48:13,838 - mmcls - INFO - Epoch [2][450/575] lr: 2.464e-06, eta: 5:42:57, time: 0.459, data_time: 0.014, memory: 5854, loss: 2.5804
2022-07-13 10:48:36,561 - mmcls - INFO - Epoch [2][500/575] lr: 2.691e-06, eta: 5:42:28, time: 0.455, data_time: 0.013, memory: 5854, loss: 2.5471
2022-07-13 10:48:59,604 - mmcls - INFO - Epoch [2][550/575] lr: 2.934e-06, eta: 5:42:13, time: 0.461, data_time: 0.013, memory: 5854, loss: 2.4747
2022-07-13 10:49:11,310 - mmcls - INFO - Saving checkpoint at 2 epochs
2022-07-13 10:50:42,434 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_1.pth was removed
2022-07-13 10:50:46,784 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_2.pth.
2022-07-13 10:50:46,787 - mmcls - INFO - Best mAP is 0.0482 at 2 epoch.
2022-07-13 10:50:46,808 - mmcls - INFO - Epoch(val) [2][282] mAP: 0.0482, CP: 0.0392, CR: 0.3735, CF1: 0.0710, OP: 0.0343, OR: 0.3237, OF1: 0.0621, CP_top3: 0.0174, CR_top3: 0.0456, OP_top3: 0.0300, CF1_top3: 0.0252, OR_top3: 0.0313, OF1_top3: 0.0307
2022-07-13 10:51:12,311 - mmcls - INFO - Epoch [3][50/575] lr: 3.328e-06, eta: 5:35:51, time: 0.500, data_time: 0.053, memory: 5854, loss: 2.4357
2022-07-13 10:51:35,366 - mmcls - INFO - Epoch [3][100/575] lr: 3.611e-06, eta: 5:35:50, time: 0.462, data_time: 0.013, memory: 5854, loss: 2.3992
2022-07-13 10:51:58,539 - mmcls - INFO - Epoch [3][150/575] lr: 3.911e-06, eta: 5:35:49, time: 0.463, data_time: 0.013, memory: 5854, loss: 2.3554
2022-07-13 10:52:21,548 - mmcls - INFO - Epoch [3][200/575] lr: 4.230e-06, eta: 5:35:42, time: 0.460, data_time: 0.013, memory: 5854, loss: 2.3597
2022-07-13 10:52:44,648 - mmcls - INFO - Epoch [3][250/575] lr: 4.567e-06, eta: 5:35:36, time: 0.462, data_time: 0.013, memory: 5854, loss: 2.3442
2022-07-13 10:53:07,727 - mmcls - INFO - Epoch [3][300/575] lr: 4.923e-06, eta: 5:35:30, time: 0.462, data_time: 0.014, memory: 5854, loss: 2.2955
2022-07-13 10:53:31,014 - mmcls - INFO - Epoch [3][350/575] lr: 5.299e-06, eta: 5:35:28, time: 0.466, data_time: 0.013, memory: 5854, loss: 2.2758
2022-07-13 10:53:54,124 - mmcls - INFO - Epoch [3][400/575] lr: 5.695e-06, eta: 5:35:19, time: 0.462, data_time: 0.014, memory: 5854, loss: 2.2768
2022-07-13 10:54:16,884 - mmcls - INFO - Epoch [3][450/575] lr: 6.112e-06, eta: 5:35:00, time: 0.455, data_time: 0.013, memory: 5854, loss: 2.2132
2022-07-13 10:54:40,286 - mmcls - INFO - Epoch [3][500/575] lr: 6.551e-06, eta: 5:34:58, time: 0.468, data_time: 0.013, memory: 5854, loss: 2.2115
2022-07-13 10:55:03,502 - mmcls - INFO - Epoch [3][550/575] lr: 7.011e-06, eta: 5:34:50, time: 0.465, data_time: 0.013, memory: 5854, loss: 2.1847
2022-07-13 10:55:15,243 - mmcls - INFO - Saving checkpoint at 3 epochs
2022-07-13 10:56:44,934 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_2.pth was removed
2022-07-13 10:56:49,248 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_3.pth.
2022-07-13 10:56:49,253 - mmcls - INFO - Best mAP is 0.0868 at 3 epoch.
2022-07-13 10:56:49,294 - mmcls - INFO - Epoch(val) [3][282] mAP: 0.0868, CP: 0.0753, CR: 0.3286, CF1: 0.1225, OP: 0.0465, OR: 0.2977, OF1: 0.0805, CP_top3: 0.0593, CR_top3: 0.0606, OP_top3: 0.0465, CF1_top3: 0.0600, OR_top3: 0.0485, OF1_top3: 0.0474
2022-07-13 10:57:15,088 - mmcls - INFO - Epoch [4][50/575] lr: 7.744e-06, eta: 5:30:40, time: 0.507, data_time: 0.053, memory: 5854, loss: 2.1308
2022-07-13 10:57:37,827 - mmcls - INFO - Epoch [4][100/575] lr: 8.262e-06, eta: 5:30:25, time: 0.455, data_time: 0.013, memory: 5854, loss: 2.1252
2022-07-13 10:58:01,158 - mmcls - INFO - Epoch [4][150/575] lr: 8.804e-06, eta: 5:30:23, time: 0.467, data_time: 0.013, memory: 5854, loss: 2.0874
2022-07-13 10:58:24,196 - mmcls - INFO - Epoch [4][200/575] lr: 9.370e-06, eta: 5:30:14, time: 0.461, data_time: 0.013, memory: 5854, loss: 2.0852
2022-07-13 10:58:47,042 - mmcls - INFO - Epoch [4][250/575] lr: 9.961e-06, eta: 5:29:58, time: 0.455, data_time: 0.014, memory: 5854, loss: 2.0495
2022-07-13 10:59:10,010 - mmcls - INFO - Epoch [4][300/575] lr: 1.058e-05, eta: 5:29:48, time: 0.462, data_time: 0.014, memory: 5854, loss: 2.0406
2022-07-13 10:59:32,940 - mmcls - INFO - Epoch [4][350/575] lr: 1.122e-05, eta: 5:29:34, time: 0.458, data_time: 0.012, memory: 5854, loss: 1.9855
2022-07-13 10:59:56,100 - mmcls - INFO - Epoch [4][400/575] lr: 1.189e-05, eta: 5:29:24, time: 0.462, data_time: 0.013, memory: 5854, loss: 2.0052
2022-07-13 11:00:19,867 - mmcls - INFO - Epoch [4][450/575] lr: 1.258e-05, eta: 5:29:27, time: 0.476, data_time: 0.014, memory: 5854, loss: 1.9690
2022-07-13 11:00:42,811 - mmcls - INFO - Epoch [4][500/575] lr: 1.330e-05, eta: 5:29:12, time: 0.459, data_time: 0.013, memory: 5854, loss: 1.9390
2022-07-13 11:01:06,158 - mmcls - INFO - Epoch [4][550/575] lr: 1.405e-05, eta: 5:29:05, time: 0.467, data_time: 0.014, memory: 5854, loss: 1.9135
2022-07-13 11:01:17,887 - mmcls - INFO - Saving checkpoint at 4 epochs
2022-07-13 11:02:46,562 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_3.pth was removed
2022-07-13 11:02:51,733 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_4.pth.
2022-07-13 11:02:51,737 - mmcls - INFO - Best mAP is 0.1726 at 4 epoch.
2022-07-13 11:02:51,755 - mmcls - INFO - Epoch(val) [4][282] mAP: 0.1726, CP: 0.1962, CR: 0.3093, CF1: 0.2401, OP: 0.0985, OR: 0.3119, OF1: 0.1497, CP_top3: 0.2152, CR_top3: 0.1234, OP_top3: 0.1152, CF1_top3: 0.1568, OR_top3: 0.1193, OF1_top3: 0.1172
2022-07-13 11:03:17,484 - mmcls - INFO - Epoch [5][50/575] lr: 1.523e-05, eta: 5:25:51, time: 0.505, data_time: 0.051, memory: 5854, loss: 1.8988
2022-07-13 11:03:40,542 - mmcls - INFO - Epoch [5][100/575] lr: 1.605e-05, eta: 5:25:41, time: 0.461, data_time: 0.014, memory: 5854, loss: 1.8745
2022-07-13 11:04:03,338 - mmcls - INFO - Epoch [5][150/575] lr: 1.690e-05, eta: 5:25:25, time: 0.456, data_time: 0.014, memory: 5854, loss: 1.8481
2022-07-13 11:04:26,111 - mmcls - INFO - Epoch [5][200/575] lr: 1.777e-05, eta: 5:25:09, time: 0.456, data_time: 0.013, memory: 5854, loss: 1.8664
2022-07-13 11:04:49,500 - mmcls - INFO - Epoch [5][250/575] lr: 1.868e-05, eta: 5:25:03, time: 0.468, data_time: 0.013, memory: 5854, loss: 1.7873
2022-07-13 11:05:12,395 - mmcls - INFO - Epoch [5][300/575] lr: 1.962e-05, eta: 5:24:49, time: 0.459, data_time: 0.013, memory: 5854, loss: 1.7875
2022-07-13 11:05:35,554 - mmcls - INFO - Epoch [5][350/575] lr: 2.058e-05, eta: 5:24:37, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.7928
2022-07-13 11:05:58,820 - mmcls - INFO - Epoch [5][400/575] lr: 2.158e-05, eta: 5:24:28, time: 0.465, data_time: 0.013, memory: 5854, loss: 1.7568
2022-07-13 11:06:22,110 - mmcls - INFO - Epoch [5][450/575] lr: 2.261e-05, eta: 5:24:18, time: 0.466, data_time: 0.013, memory: 5854, loss: 1.7538
2022-07-13 11:06:45,166 - mmcls - INFO - Epoch [5][500/575] lr: 2.367e-05, eta: 5:24:04, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.7297
2022-07-13 11:07:08,180 - mmcls - INFO - Epoch [5][550/575] lr: 2.476e-05, eta: 5:23:49, time: 0.461, data_time: 0.015, memory: 5854, loss: 1.7383
2022-07-13 11:07:19,677 - mmcls - INFO - Saving checkpoint at 5 epochs
2022-07-13 11:08:49,191 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_4.pth was removed
2022-07-13 11:08:53,530 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_5.pth.
2022-07-13 11:08:53,531 - mmcls - INFO - Best mAP is 0.3627 at 5 epoch.
2022-07-13 11:08:53,548 - mmcls - INFO - Epoch(val) [5][282] mAP: 0.3627, CP: 0.3959, CR: 0.4186, CF1: 0.4070, OP: 0.2740, OR: 0.5041, OF1: 0.3550, CP_top3: 0.4484, CR_top3: 0.2735, OP_top3: 0.3948, CF1_top3: 0.3397, OR_top3: 0.3620, OF1_top3: 0.3777
2022-07-13 11:09:18,968 - mmcls - INFO - Epoch [6][50/575] lr: 2.601e-05, eta: 5:21:06, time: 0.499, data_time: 0.051, memory: 5854, loss: 1.6902
2022-07-13 11:09:41,991 - mmcls - INFO - Epoch [6][100/575] lr: 2.670e-05, eta: 5:20:53, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.6767
2022-07-13 11:10:04,812 - mmcls - INFO - Epoch [6][150/575] lr: 2.740e-05, eta: 5:20:37, time: 0.456, data_time: 0.013, memory: 5854, loss: 1.6665
2022-07-13 11:10:28,025 - mmcls - INFO - Epoch [6][200/575] lr: 2.811e-05, eta: 5:20:26, time: 0.465, data_time: 0.014, memory: 5854, loss: 1.6790
2022-07-13 11:10:51,029 - mmcls - INFO - Epoch [6][250/575] lr: 2.882e-05, eta: 5:20:12, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.6549
2022-07-13 11:11:14,019 - mmcls - INFO - Epoch [6][300/575] lr: 2.954e-05, eta: 5:19:58, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.6339
2022-07-13 11:11:37,117 - mmcls - INFO - Epoch [6][350/575] lr: 3.027e-05, eta: 5:19:44, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.6084
2022-07-13 11:12:00,328 - mmcls - INFO - Epoch [6][400/575] lr: 3.101e-05, eta: 5:19:32, time: 0.465, data_time: 0.013, memory: 5854, loss: 1.6445
2022-07-13 11:12:23,445 - mmcls - INFO - Epoch [6][450/575] lr: 3.175e-05, eta: 5:19:18, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.6106
2022-07-13 11:12:46,448 - mmcls - INFO - Epoch [6][500/575] lr: 3.249e-05, eta: 5:19:03, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.6139
2022-07-13 11:13:09,821 - mmcls - INFO - Epoch [6][550/575] lr: 3.324e-05, eta: 5:18:52, time: 0.468, data_time: 0.014, memory: 5854, loss: 1.5946
2022-07-13 11:13:21,455 - mmcls - INFO - Saving checkpoint at 6 epochs
2022-07-13 11:14:51,020 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_5.pth was removed
2022-07-13 11:14:56,156 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_6.pth.
2022-07-13 11:14:56,156 - mmcls - INFO - Best mAP is 0.5009 at 6 epoch.
2022-07-13 11:14:56,201 - mmcls - INFO - Epoch(val) [6][282] mAP: 0.5009, CP: 0.5125, CR: 0.5045, CF1: 0.5085, OP: 0.4336, OR: 0.6184, OF1: 0.5098, CP_top3: 0.5677, CR_top3: 0.3650, OP_top3: 0.5558, CF1_top3: 0.4443, OR_top3: 0.4868, OF1_top3: 0.5190
2022-07-13 11:15:21,778 - mmcls - INFO - Epoch [7][50/575] lr: 3.438e-05, eta: 5:16:32, time: 0.500, data_time: 0.050, memory: 5854, loss: 1.5681
2022-07-13 11:15:44,796 - mmcls - INFO - Epoch [7][100/575] lr: 3.515e-05, eta: 5:16:20, time: 0.463, data_time: 0.014, memory: 5854, loss: 1.5798
2022-07-13 11:16:07,687 - mmcls - INFO - Epoch [7][150/575] lr: 3.592e-05, eta: 5:16:04, time: 0.458, data_time: 0.013, memory: 5854, loss: 1.5566
2022-07-13 11:16:30,556 - mmcls - INFO - Epoch [7][200/575] lr: 3.669e-05, eta: 5:15:47, time: 0.457, data_time: 0.012, memory: 5854, loss: 1.5521
2022-07-13 11:16:53,631 - mmcls - INFO - Epoch [7][250/575] lr: 3.747e-05, eta: 5:15:33, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.5483
2022-07-13 11:17:16,750 - mmcls - INFO - Epoch [7][300/575] lr: 3.825e-05, eta: 5:15:19, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.5115
2022-07-13 11:17:39,942 - mmcls - INFO - Epoch [7][350/575] lr: 3.904e-05, eta: 5:15:04, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.5073
2022-07-13 11:18:02,692 - mmcls - INFO - Epoch [7][400/575] lr: 3.983e-05, eta: 5:14:47, time: 0.458, data_time: 0.015, memory: 5854, loss: 1.5277
2022-07-13 11:18:25,934 - mmcls - INFO - Epoch [7][450/575] lr: 4.063e-05, eta: 5:14:33, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.5328
2022-07-13 11:18:49,261 - mmcls - INFO - Epoch [7][500/575] lr: 4.142e-05, eta: 5:14:21, time: 0.468, data_time: 0.014, memory: 5854, loss: 1.5274
2022-07-13 11:19:12,077 - mmcls - INFO - Epoch [7][550/575] lr: 4.223e-05, eta: 5:14:02, time: 0.456, data_time: 0.012, memory: 5854, loss: 1.5179
2022-07-13 11:19:24,643 - mmcls - INFO - Saving checkpoint at 7 epochs
2022-07-13 11:20:54,185 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_6.pth was removed
2022-07-13 11:20:58,617 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_7.pth.
2022-07-13 11:20:58,620 - mmcls - INFO - Best mAP is 0.5830 at 7 epoch.
2022-07-13 11:20:58,639 - mmcls - INFO - Epoch(val) [7][282] mAP: 0.5830, CP: 0.5076, CR: 0.6168, CF1: 0.5569, OP: 0.4731, OR: 0.7203, OF1: 0.5711, CP_top3: 0.6470, CR_top3: 0.4474, OP_top3: 0.5992, CF1_top3: 0.5290, OR_top3: 0.5606, OF1_top3: 0.5793
2022-07-13 11:21:24,384 - mmcls - INFO - Epoch [8][50/575] lr: 4.343e-05, eta: 5:12:02, time: 0.505, data_time: 0.050, memory: 5854, loss: 1.4686
2022-07-13 11:21:47,552 - mmcls - INFO - Epoch [8][100/575] lr: 4.424e-05, eta: 5:11:49, time: 0.464, data_time: 0.014, memory: 5854, loss: 1.4788
2022-07-13 11:22:10,574 - mmcls - INFO - Epoch [8][150/575] lr: 4.505e-05, eta: 5:11:33, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.4537
2022-07-13 11:22:33,584 - mmcls - INFO - Epoch [8][200/575] lr: 4.586e-05, eta: 5:11:17, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.4460
2022-07-13 11:22:56,635 - mmcls - INFO - Epoch [8][250/575] lr: 4.668e-05, eta: 5:11:02, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.4594
2022-07-13 11:23:19,880 - mmcls - INFO - Epoch [8][300/575] lr: 4.749e-05, eta: 5:10:48, time: 0.465, data_time: 0.013, memory: 5854, loss: 1.4540
2022-07-13 11:23:43,149 - mmcls - INFO - Epoch [8][350/575] lr: 4.831e-05, eta: 5:10:34, time: 0.466, data_time: 0.013, memory: 5854, loss: 1.4693
2022-07-13 11:24:06,476 - mmcls - INFO - Epoch [8][400/575] lr: 4.912e-05, eta: 5:10:20, time: 0.466, data_time: 0.014, memory: 5854, loss: 1.4462
2022-07-13 11:24:29,563 - mmcls - INFO - Epoch [8][450/575] lr: 4.994e-05, eta: 5:10:05, time: 0.462, data_time: 0.014, memory: 5854, loss: 1.4770
2022-07-13 11:24:53,107 - mmcls - INFO - Epoch [8][500/575] lr: 5.076e-05, eta: 5:09:53, time: 0.471, data_time: 0.014, memory: 5854, loss: 1.4689
2022-07-13 11:25:16,349 - mmcls - INFO - Epoch [8][550/575] lr: 5.158e-05, eta: 5:09:38, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.4853
2022-07-13 11:25:27,705 - mmcls - INFO - Saving checkpoint at 8 epochs
2022-07-13 11:26:57,124 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_7.pth was removed
2022-07-13 11:27:01,612 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_8.pth.
2022-07-13 11:27:01,614 - mmcls - INFO - Best mAP is 0.6405 at 8 epoch.
2022-07-13 11:27:01,635 - mmcls - INFO - Epoch(val) [8][282] mAP: 0.6405, CP: 0.5168, CR: 0.6828, CF1: 0.5883, OP: 0.4681, OR: 0.7716, OF1: 0.5827, CP_top3: 0.6860, CR_top3: 0.4823, OP_top3: 0.6048, CF1_top3: 0.5664, OR_top3: 0.5836, OF1_top3: 0.5940
2022-07-13 11:27:27,113 - mmcls - INFO - Epoch [9][50/575] lr: 5.281e-05, eta: 5:07:47, time: 0.500, data_time: 0.050, memory: 5854, loss: 1.4167
2022-07-13 11:27:50,370 - mmcls - INFO - Epoch [9][100/575] lr: 5.363e-05, eta: 5:07:33, time: 0.466, data_time: 0.014, memory: 5854, loss: 1.4448
2022-07-13 11:28:13,471 - mmcls - INFO - Epoch [9][150/575] lr: 5.445e-05, eta: 5:07:18, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.4171
2022-07-13 11:28:36,535 - mmcls - INFO - Epoch [9][200/575] lr: 5.527e-05, eta: 5:07:01, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.3930
2022-07-13 11:28:59,559 - mmcls - INFO - Epoch [9][250/575] lr: 5.609e-05, eta: 5:06:44, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.4244
2022-07-13 11:29:22,631 - mmcls - INFO - Epoch [9][300/575] lr: 5.690e-05, eta: 5:06:28, time: 0.462, data_time: 0.014, memory: 5854, loss: 1.4113
2022-07-13 11:29:45,892 - mmcls - INFO - Epoch [9][350/575] lr: 5.772e-05, eta: 5:06:13, time: 0.466, data_time: 0.014, memory: 5854, loss: 1.3973
2022-07-13 11:30:09,223 - mmcls - INFO - Epoch [9][400/575] lr: 5.853e-05, eta: 5:05:59, time: 0.466, data_time: 0.014, memory: 5854, loss: 1.4100
2022-07-13 11:30:32,704 - mmcls - INFO - Epoch [9][450/575] lr: 5.934e-05, eta: 5:05:45, time: 0.470, data_time: 0.013, memory: 5854, loss: 1.4291
2022-07-13 11:30:56,215 - mmcls - INFO - Epoch [9][500/575] lr: 6.015e-05, eta: 5:05:31, time: 0.469, data_time: 0.013, memory: 5854, loss: 1.3901
2022-07-13 11:31:19,333 - mmcls - INFO - Epoch [9][550/575] lr: 6.096e-05, eta: 5:05:15, time: 0.464, data_time: 0.014, memory: 5854, loss: 1.4320
2022-07-13 11:31:31,064 - mmcls - INFO - Saving checkpoint at 9 epochs
2022-07-13 11:33:00,705 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_8.pth was removed
2022-07-13 11:33:05,640 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_9.pth.
2022-07-13 11:33:05,644 - mmcls - INFO - Best mAP is 0.6739 at 9 epoch.
2022-07-13 11:33:05,662 - mmcls - INFO - Epoch(val) [9][282] mAP: 0.6739, CP: 0.5368, CR: 0.6974, CF1: 0.6067, OP: 0.4585, OR: 0.7760, OF1: 0.5764, CP_top3: 0.7076, CR_top3: 0.5134, OP_top3: 0.6130, CF1_top3: 0.5950, OR_top3: 0.5997, OF1_top3: 0.6063
2022-07-13 11:33:31,414 - mmcls - INFO - Epoch [10][50/575] lr: 6.216e-05, eta: 5:03:36, time: 0.506, data_time: 0.051, memory: 5854, loss: 1.3579
2022-07-13 11:33:54,412 - mmcls - INFO - Epoch [10][100/575] lr: 6.296e-05, eta: 5:03:19, time: 0.460, data_time: 0.014, memory: 5854, loss: 1.3802
2022-07-13 11:34:17,487 - mmcls - INFO - Epoch [10][150/575] lr: 6.376e-05, eta: 5:03:02, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.3760
2022-07-13 11:34:40,536 - mmcls - INFO - Epoch [10][200/575] lr: 6.455e-05, eta: 5:02:45, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.3816
2022-07-13 11:35:03,861 - mmcls - INFO - Epoch [10][250/575] lr: 6.534e-05, eta: 5:02:30, time: 0.467, data_time: 0.014, memory: 5854, loss: 1.3575
2022-07-13 11:35:27,252 - mmcls - INFO - Epoch [10][300/575] lr: 6.612e-05, eta: 5:02:15, time: 0.468, data_time: 0.014, memory: 5854, loss: 1.3558
2022-07-13 11:35:50,646 - mmcls - INFO - Epoch [10][350/575] lr: 6.690e-05, eta: 5:02:00, time: 0.468, data_time: 0.013, memory: 5854, loss: 1.3907
2022-07-13 11:36:13,578 - mmcls - INFO - Epoch [10][400/575] lr: 6.768e-05, eta: 5:01:42, time: 0.459, data_time: 0.013, memory: 5854, loss: 1.3882
2022-07-13 11:36:36,486 - mmcls - INFO - Epoch [10][450/575] lr: 6.845e-05, eta: 5:01:23, time: 0.458, data_time: 0.013, memory: 5854, loss: 1.3660
2022-07-13 11:36:59,848 - mmcls - INFO - Epoch [10][500/575] lr: 6.922e-05, eta: 5:01:08, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.3991
2022-07-13 11:37:23,334 - mmcls - INFO - Epoch [10][550/575] lr: 6.998e-05, eta: 5:00:53, time: 0.470, data_time: 0.013, memory: 5854, loss: 1.4009
2022-07-13 11:37:34,768 - mmcls - INFO - Saving checkpoint at 10 epochs
2022-07-13 11:39:04,210 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_9.pth was removed
2022-07-13 11:39:08,696 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_10.pth.
2022-07-13 11:39:08,699 - mmcls - INFO - Best mAP is 0.7084 at 10 epoch.
2022-07-13 11:39:08,746 - mmcls - INFO - Epoch(val) [10][282] mAP: 0.7084, CP: 0.5706, CR: 0.7274, CF1: 0.6395, OP: 0.5021, OR: 0.8003, OF1: 0.6171, CP_top3: 0.7245, CR_top3: 0.5528, OP_top3: 0.6601, CF1_top3: 0.6271, OR_top3: 0.6272, OF1_top3: 0.6432
2022-07-13 11:39:34,253 - mmcls - INFO - Epoch [11][50/575] lr: 7.112e-05, eta: 4:59:20, time: 0.501, data_time: 0.051, memory: 5854, loss: 1.3703
2022-07-13 11:39:57,564 - mmcls - INFO - Epoch [11][100/575] lr: 7.187e-05, eta: 4:59:04, time: 0.467, data_time: 0.014, memory: 5854, loss: 1.3539
2022-07-13 11:40:21,332 - mmcls - INFO - Epoch [11][150/575] lr: 7.261e-05, eta: 4:58:51, time: 0.475, data_time: 0.013, memory: 5854, loss: 1.3587
2022-07-13 11:40:44,353 - mmcls - INFO - Epoch [11][200/575] lr: 7.335e-05, eta: 4:58:33, time: 0.460, data_time: 0.014, memory: 5854, loss: 1.3787
2022-07-13 11:41:07,746 - mmcls - INFO - Epoch [11][250/575] lr: 7.408e-05, eta: 4:58:18, time: 0.468, data_time: 0.013, memory: 5854, loss: 1.3544
2022-07-13 11:41:31,018 - mmcls - INFO - Epoch [11][300/575] lr: 7.480e-05, eta: 4:58:01, time: 0.465, data_time: 0.013, memory: 5854, loss: 1.3393
2022-07-13 11:41:54,180 - mmcls - INFO - Epoch [11][350/575] lr: 7.552e-05, eta: 4:57:44, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.3785
2022-07-13 11:42:17,328 - mmcls - INFO - Epoch [11][400/575] lr: 7.623e-05, eta: 4:57:27, time: 0.463, data_time: 0.012, memory: 5854, loss: 1.3561
2022-07-13 11:42:40,610 - mmcls - INFO - Epoch [11][450/575] lr: 7.694e-05, eta: 4:57:10, time: 0.465, data_time: 0.013, memory: 5854, loss: 1.3610
2022-07-13 11:43:03,438 - mmcls - INFO - Epoch [11][500/575] lr: 7.763e-05, eta: 4:56:50, time: 0.457, data_time: 0.014, memory: 5854, loss: 1.3597
2022-07-13 11:43:26,878 - mmcls - INFO - Epoch [11][550/575] lr: 7.832e-05, eta: 4:56:34, time: 0.468, data_time: 0.013, memory: 5854, loss: 1.3603
2022-07-13 11:43:38,539 - mmcls - INFO - Saving checkpoint at 11 epochs
2022-07-13 11:45:09,822 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_10.pth was removed
2022-07-13 11:45:15,077 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_11.pth.
2022-07-13 11:45:15,082 - mmcls - INFO - Best mAP is 0.7346 at 11 epoch.
2022-07-13 11:45:15,100 - mmcls - INFO - Epoch(val) [11][282] mAP: 0.7346, CP: 0.5370, CR: 0.7848, CF1: 0.6377, OP: 0.4454, OR: 0.8547, OF1: 0.5856, CP_top3: 0.7327, CR_top3: 0.5716, OP_top3: 0.6481, CF1_top3: 0.6422, OR_top3: 0.6442, OF1_top3: 0.6461
2022-07-13 11:45:40,452 - mmcls - INFO - Epoch [12][50/575] lr: 7.934e-05, eta: 4:55:06, time: 0.498, data_time: 0.052, memory: 5854, loss: 1.3264
2022-07-13 11:46:03,701 - mmcls - INFO - Epoch [12][100/575] lr: 8.001e-05, eta: 4:54:50, time: 0.465, data_time: 0.014, memory: 5854, loss: 1.3434
2022-07-13 11:46:26,904 - mmcls - INFO - Epoch [12][150/575] lr: 8.067e-05, eta: 4:54:33, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.3376
2022-07-13 11:46:50,585 - mmcls - INFO - Epoch [12][200/575] lr: 8.133e-05, eta: 4:54:18, time: 0.474, data_time: 0.014, memory: 5854, loss: 1.3380
2022-07-13 11:47:13,990 - mmcls - INFO - Epoch [12][250/575] lr: 8.197e-05, eta: 4:54:02, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.3352
2022-07-13 11:47:37,089 - mmcls - INFO - Epoch [12][300/575] lr: 8.261e-05, eta: 4:53:44, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.3509
2022-07-13 11:48:00,477 - mmcls - INFO - Epoch [12][350/575] lr: 8.323e-05, eta: 4:53:28, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.3421
2022-07-13 11:48:23,619 - mmcls - INFO - Epoch [12][400/575] lr: 8.385e-05, eta: 4:53:10, time: 0.463, data_time: 0.014, memory: 5854, loss: 1.3206
2022-07-13 11:48:46,925 - mmcls - INFO - Epoch [12][450/575] lr: 8.446e-05, eta: 4:52:52, time: 0.466, data_time: 0.013, memory: 5854, loss: 1.3349
2022-07-13 11:49:09,986 - mmcls - INFO - Epoch [12][500/575] lr: 8.506e-05, eta: 4:52:34, time: 0.462, data_time: 0.014, memory: 5854, loss: 1.3618
2022-07-13 11:49:32,997 - mmcls - INFO - Epoch [12][550/575] lr: 8.565e-05, eta: 4:52:15, time: 0.460, data_time: 0.012, memory: 5854, loss: 1.3243
2022-07-13 11:49:44,397 - mmcls - INFO - Saving checkpoint at 12 epochs
2022-07-13 11:51:15,103 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_11.pth was removed
2022-07-13 11:51:20,176 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_12.pth.
2022-07-13 11:51:20,179 - mmcls - INFO - Best mAP is 0.7461 at 12 epoch.
2022-07-13 11:51:20,229 - mmcls - INFO - Epoch(val) [12][282] mAP: 0.7461, CP: 0.5404, CR: 0.7863, CF1: 0.6406, OP: 0.4724, OR: 0.8540, OF1: 0.6083, CP_top3: 0.7183, CR_top3: 0.5845, OP_top3: 0.6814, CF1_top3: 0.6445, OR_top3: 0.6519, OF1_top3: 0.6663
2022-07-13 11:51:46,031 - mmcls - INFO - Epoch [13][50/575] lr: 8.651e-05, eta: 4:50:55, time: 0.507, data_time: 0.054, memory: 5854, loss: 1.2979
2022-07-13 11:52:09,199 - mmcls - INFO - Epoch [13][100/575] lr: 8.708e-05, eta: 4:50:37, time: 0.463, data_time: 0.014, memory: 5854, loss: 1.3233
2022-07-13 11:52:32,250 - mmcls - INFO - Epoch [13][150/575] lr: 8.763e-05, eta: 4:50:19, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.3196
2022-07-13 11:52:55,550 - mmcls - INFO - Epoch [13][200/575] lr: 8.818e-05, eta: 4:50:01, time: 0.466, data_time: 0.013, memory: 5854, loss: 1.3330
2022-07-13 11:53:18,910 - mmcls - INFO - Epoch [13][250/575] lr: 8.871e-05, eta: 4:49:44, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.3302
2022-07-13 11:53:42,282 - mmcls - INFO - Epoch [13][300/575] lr: 8.923e-05, eta: 4:49:27, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.3407
2022-07-13 11:54:05,311 - mmcls - INFO - Epoch [13][350/575] lr: 8.974e-05, eta: 4:49:08, time: 0.461, data_time: 0.014, memory: 5854, loss: 1.3227
2022-07-13 11:54:28,348 - mmcls - INFO - Epoch [13][400/575] lr: 9.024e-05, eta: 4:48:50, time: 0.461, data_time: 0.012, memory: 5854, loss: 1.3177
2022-07-13 11:54:51,680 - mmcls - INFO - Epoch [13][450/575] lr: 9.073e-05, eta: 4:48:32, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.3417
2022-07-13 11:55:15,303 - mmcls - INFO - Epoch [13][500/575] lr: 9.121e-05, eta: 4:48:15, time: 0.470, data_time: 0.013, memory: 5854, loss: 1.2951
2022-07-13 11:55:38,138 - mmcls - INFO - Epoch [13][550/575] lr: 9.168e-05, eta: 4:47:56, time: 0.459, data_time: 0.014, memory: 5854, loss: 1.3363
2022-07-13 11:55:49,698 - mmcls - INFO - Saving checkpoint at 13 epochs
2022-07-13 11:57:17,878 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_12.pth was removed
2022-07-13 11:57:22,561 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_13.pth.
2022-07-13 11:57:22,566 - mmcls - INFO - Best mAP is 0.7594 at 13 epoch.
2022-07-13 11:57:22,619 - mmcls - INFO - Epoch(val) [13][282] mAP: 0.7594, CP: 0.6003, CR: 0.7691, CF1: 0.6743, OP: 0.5437, OR: 0.8344, OF1: 0.6584, CP_top3: 0.7445, CR_top3: 0.5949, OP_top3: 0.7003, CF1_top3: 0.6614, OR_top3: 0.6569, OF1_top3: 0.6779
2022-07-13 11:57:48,253 - mmcls - INFO - Epoch [14][50/575] lr: 9.236e-05, eta: 4:46:39, time: 0.503, data_time: 0.050, memory: 5854, loss: 1.2794
2022-07-13 11:58:11,251 - mmcls - INFO - Epoch [14][100/575] lr: 9.280e-05, eta: 4:46:20, time: 0.461, data_time: 0.016, memory: 5854, loss: 1.2954
2022-07-13 11:58:34,293 - mmcls - INFO - Epoch [14][150/575] lr: 9.322e-05, eta: 4:46:01, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.3219
2022-07-13 11:58:57,351 - mmcls - INFO - Epoch [14][200/575] lr: 9.364e-05, eta: 4:45:42, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.3110
2022-07-13 11:59:20,616 - mmcls - INFO - Epoch [14][250/575] lr: 9.404e-05, eta: 4:45:24, time: 0.465, data_time: 0.012, memory: 5854, loss: 1.3067
2022-07-13 11:59:43,928 - mmcls - INFO - Epoch [14][300/575] lr: 9.443e-05, eta: 4:45:07, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.3183
2022-07-13 12:00:06,795 - mmcls - INFO - Epoch [14][350/575] lr: 9.480e-05, eta: 4:44:47, time: 0.457, data_time: 0.013, memory: 5854, loss: 1.3138
2022-07-13 12:00:30,224 - mmcls - INFO - Epoch [14][400/575] lr: 9.517e-05, eta: 4:44:29, time: 0.469, data_time: 0.013, memory: 5854, loss: 1.3092
2022-07-13 12:00:53,289 - mmcls - INFO - Epoch [14][450/575] lr: 9.552e-05, eta: 4:44:10, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.3337
2022-07-13 12:01:16,257 - mmcls - INFO - Epoch [14][500/575] lr: 9.586e-05, eta: 4:43:51, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.3150
2022-07-13 12:01:39,524 - mmcls - INFO - Epoch [14][550/575] lr: 9.619e-05, eta: 4:43:32, time: 0.465, data_time: 0.013, memory: 5854, loss: 1.3142
2022-07-13 12:01:51,217 - mmcls - INFO - Saving checkpoint at 14 epochs
2022-07-13 12:03:21,766 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_13.pth was removed
2022-07-13 12:03:26,367 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_14.pth.
2022-07-13 12:03:26,371 - mmcls - INFO - Best mAP is 0.7721 at 14 epoch.
2022-07-13 12:03:26,391 - mmcls - INFO - Epoch(val) [14][282] mAP: 0.7721, CP: 0.5556, CR: 0.8164, CF1: 0.6612, OP: 0.5038, OR: 0.8713, OF1: 0.6385, CP_top3: 0.7272, CR_top3: 0.6164, OP_top3: 0.7115, CF1_top3: 0.6672, OR_top3: 0.6731, OF1_top3: 0.6918
2022-07-13 12:03:52,628 - mmcls - INFO - Epoch [15][50/575] lr: 9.665e-05, eta: 4:42:22, time: 0.516, data_time: 0.053, memory: 5854, loss: 1.2827
2022-07-13 12:04:15,467 - mmcls - INFO - Epoch [15][100/575] lr: 9.695e-05, eta: 4:42:02, time: 0.456, data_time: 0.013, memory: 5854, loss: 1.2810
2022-07-13 12:04:38,655 - mmcls - INFO - Epoch [15][150/575] lr: 9.723e-05, eta: 4:41:44, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.2987
2022-07-13 12:05:01,701 - mmcls - INFO - Epoch [15][200/575] lr: 9.750e-05, eta: 4:41:24, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.2816
2022-07-13 12:05:24,917 - mmcls - INFO - Epoch [15][250/575] lr: 9.775e-05, eta: 4:41:06, time: 0.465, data_time: 0.017, memory: 5854, loss: 1.3028
2022-07-13 12:05:47,861 - mmcls - INFO - Epoch [15][300/575] lr: 9.799e-05, eta: 4:40:46, time: 0.459, data_time: 0.012, memory: 5854, loss: 1.2897
2022-07-13 12:06:10,912 - mmcls - INFO - Epoch [15][350/575] lr: 9.822e-05, eta: 4:40:27, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.2752
2022-07-13 12:06:34,023 - mmcls - INFO - Epoch [15][400/575] lr: 9.843e-05, eta: 4:40:07, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.3155
2022-07-13 12:06:57,240 - mmcls - INFO - Epoch [15][450/575] lr: 9.863e-05, eta: 4:39:49, time: 0.466, data_time: 0.014, memory: 5854, loss: 1.3050
2022-07-13 12:07:20,596 - mmcls - INFO - Epoch [15][500/575] lr: 9.882e-05, eta: 4:39:31, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.2992
2022-07-13 12:07:43,755 - mmcls - INFO - Epoch [15][550/575] lr: 9.900e-05, eta: 4:39:12, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.2807
2022-07-13 12:07:55,173 - mmcls - INFO - Saving checkpoint at 15 epochs
2022-07-13 12:09:24,918 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_14.pth was removed
2022-07-13 12:09:29,678 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_15.pth.
2022-07-13 12:09:29,679 - mmcls - INFO - Best mAP is 0.7796 at 15 epoch.
2022-07-13 12:09:29,695 - mmcls - INFO - Epoch(val) [15][282] mAP: 0.7796, CP: 0.5681, CR: 0.8128, CF1: 0.6688, OP: 0.5397, OR: 0.8634, OF1: 0.6642, CP_top3: 0.7260, CR_top3: 0.6333, OP_top3: 0.7435, CF1_top3: 0.6765, OR_top3: 0.6778, OF1_top3: 0.7091
2022-07-13 12:09:55,882 - mmcls - INFO - Epoch [16][50/575] lr: 9.923e-05, eta: 4:38:04, time: 0.514, data_time: 0.051, memory: 5854, loss: 1.2572
2022-07-13 12:10:19,043 - mmcls - INFO - Epoch [16][100/575] lr: 9.937e-05, eta: 4:37:46, time: 0.464, data_time: 0.015, memory: 5854, loss: 1.2383
2022-07-13 12:10:42,464 - mmcls - INFO - Epoch [16][150/575] lr: 9.950e-05, eta: 4:37:28, time: 0.468, data_time: 0.015, memory: 5854, loss: 1.2625
2022-07-13 12:11:05,526 - mmcls - INFO - Epoch [16][200/575] lr: 9.961e-05, eta: 4:37:08, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.2977
2022-07-13 12:11:28,872 - mmcls - INFO - Epoch [16][250/575] lr: 9.970e-05, eta: 4:36:50, time: 0.466, data_time: 0.013, memory: 5854, loss: 1.2668
2022-07-13 12:11:51,957 - mmcls - INFO - Epoch [16][300/575] lr: 9.979e-05, eta: 4:36:31, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.2987
2022-07-13 12:12:15,011 - mmcls - INFO - Epoch [16][350/575] lr: 9.986e-05, eta: 4:36:11, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.2627
2022-07-13 12:12:38,015 - mmcls - INFO - Epoch [16][400/575] lr: 9.991e-05, eta: 4:35:51, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.2849
2022-07-13 12:13:01,495 - mmcls - INFO - Epoch [16][450/575] lr: 9.996e-05, eta: 4:35:33, time: 0.470, data_time: 0.013, memory: 5854, loss: 1.2760
2022-07-13 12:13:24,920 - mmcls - INFO - Epoch [16][500/575] lr: 9.998e-05, eta: 4:35:15, time: 0.468, data_time: 0.013, memory: 5854, loss: 1.2932
2022-07-13 12:13:48,057 - mmcls - INFO - Epoch [16][550/575] lr: 1.000e-04, eta: 4:34:56, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.2851
2022-07-13 12:13:59,568 - mmcls - INFO - Saving checkpoint at 16 epochs
2022-07-13 12:15:29,525 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_15.pth was removed
2022-07-13 12:15:33,887 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_16.pth.
2022-07-13 12:15:33,890 - mmcls - INFO - Best mAP is 0.7828 at 16 epoch.
2022-07-13 12:15:33,908 - mmcls - INFO - Epoch(val) [16][282] mAP: 0.7828, CP: 0.5293, CR: 0.8444, CF1: 0.6507, OP: 0.4372, OR: 0.8966, OF1: 0.5878, CP_top3: 0.7285, CR_top3: 0.6201, OP_top3: 0.6897, CF1_top3: 0.6699, OR_top3: 0.6768, OF1_top3: 0.6832
2022-07-13 12:15:59,857 - mmcls - INFO - Epoch [17][50/575] lr: 1.000e-04, eta: 4:33:50, time: 0.509, data_time: 0.052, memory: 5854, loss: 1.2469
2022-07-13 12:16:22,882 - mmcls - INFO - Epoch [17][100/575] lr: 1.000e-04, eta: 4:33:30, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.2487
2022-07-13 12:16:45,818 - mmcls - INFO - Epoch [17][150/575] lr: 1.000e-04, eta: 4:33:10, time: 0.459, data_time: 0.014, memory: 5854, loss: 1.2498
2022-07-13 12:17:08,825 - mmcls - INFO - Epoch [17][200/575] lr: 9.999e-05, eta: 4:32:50, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.2494
2022-07-13 12:17:31,975 - mmcls - INFO - Epoch [17][250/575] lr: 9.999e-05, eta: 4:32:31, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.2495
2022-07-13 12:17:55,217 - mmcls - INFO - Epoch [17][300/575] lr: 9.998e-05, eta: 4:32:12, time: 0.465, data_time: 0.013, memory: 5854, loss: 1.2490
2022-07-13 12:18:18,198 - mmcls - INFO - Epoch [17][350/575] lr: 9.998e-05, eta: 4:31:52, time: 0.460, data_time: 0.014, memory: 5854, loss: 1.2544
2022-07-13 12:18:41,827 - mmcls - INFO - Epoch [17][400/575] lr: 9.997e-05, eta: 4:31:34, time: 0.472, data_time: 0.012, memory: 5854, loss: 1.2712
2022-07-13 12:19:04,825 - mmcls - INFO - Epoch [17][450/575] lr: 9.996e-05, eta: 4:31:14, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.2484
2022-07-13 12:19:28,062 - mmcls - INFO - Epoch [17][500/575] lr: 9.995e-05, eta: 4:30:55, time: 0.464, data_time: 0.012, memory: 5854, loss: 1.2590
2022-07-13 12:19:51,261 - mmcls - INFO - Epoch [17][550/575] lr: 9.994e-05, eta: 4:30:35, time: 0.465, data_time: 0.014, memory: 5854, loss: 1.2803
2022-07-13 12:20:02,834 - mmcls - INFO - Saving checkpoint at 17 epochs
2022-07-13 12:21:32,068 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_16.pth was removed
2022-07-13 12:21:36,433 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_17.pth.
2022-07-13 12:21:36,437 - mmcls - INFO - Best mAP is 0.7936 at 17 epoch.
2022-07-13 12:21:36,457 - mmcls - INFO - Epoch(val) [17][282] mAP: 0.7936, CP: 0.5625, CR: 0.8380, CF1: 0.6731, OP: 0.5204, OR: 0.8800, OF1: 0.6540, CP_top3: 0.7337, CR_top3: 0.6446, OP_top3: 0.7255, CF1_top3: 0.6863, OR_top3: 0.6843, OF1_top3: 0.7043
2022-07-13 12:22:02,278 - mmcls - INFO - Epoch [18][50/575] lr: 9.993e-05, eta: 4:29:31, time: 0.507, data_time: 0.055, memory: 5854, loss: 1.2132
2022-07-13 12:22:25,239 - mmcls - INFO - Epoch [18][100/575] lr: 9.992e-05, eta: 4:29:11, time: 0.460, data_time: 0.014, memory: 5854, loss: 1.2103
2022-07-13 12:22:48,251 - mmcls - INFO - Epoch [18][150/575] lr: 9.990e-05, eta: 4:28:51, time: 0.460, data_time: 0.014, memory: 5854, loss: 1.2360
2022-07-13 12:23:11,371 - mmcls - INFO - Epoch [18][200/575] lr: 9.989e-05, eta: 4:28:32, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.2636
2022-07-13 12:23:34,458 - mmcls - INFO - Epoch [18][250/575] lr: 9.988e-05, eta: 4:28:12, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.2245
2022-07-13 12:23:57,628 - mmcls - INFO - Epoch [18][300/575] lr: 9.986e-05, eta: 4:27:53, time: 0.463, data_time: 0.012, memory: 5854, loss: 1.2449
2022-07-13 12:24:20,712 - mmcls - INFO - Epoch [18][350/575] lr: 9.984e-05, eta: 4:27:33, time: 0.462, data_time: 0.014, memory: 5854, loss: 1.2590
2022-07-13 12:24:44,159 - mmcls - INFO - Epoch [18][400/575] lr: 9.983e-05, eta: 4:27:14, time: 0.469, data_time: 0.013, memory: 5854, loss: 1.2202
2022-07-13 12:25:07,337 - mmcls - INFO - Epoch [18][450/575] lr: 9.981e-05, eta: 4:26:55, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.2339
2022-07-13 12:25:30,515 - mmcls - INFO - Epoch [18][500/575] lr: 9.979e-05, eta: 4:26:35, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.2622
2022-07-13 12:25:53,349 - mmcls - INFO - Epoch [18][550/575] lr: 9.977e-05, eta: 4:26:14, time: 0.457, data_time: 0.013, memory: 5854, loss: 1.2408
2022-07-13 12:26:04,994 - mmcls - INFO - Saving checkpoint at 18 epochs
2022-07-13 12:27:34,858 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_17.pth was removed
2022-07-13 12:27:39,456 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_18.pth.
2022-07-13 12:27:39,457 - mmcls - INFO - Best mAP is 0.7979 at 18 epoch.
2022-07-13 12:27:39,504 - mmcls - INFO - Epoch(val) [18][282] mAP: 0.7979, CP: 0.5684, CR: 0.8431, CF1: 0.6790, OP: 0.5352, OR: 0.8831, OF1: 0.6665, CP_top3: 0.7289, CR_top3: 0.6531, OP_top3: 0.7571, CF1_top3: 0.6889, OR_top3: 0.6881, OF1_top3: 0.7210
2022-07-13 12:28:04,869 - mmcls - INFO - Epoch [19][50/575] lr: 9.974e-05, eta: 4:25:11, time: 0.498, data_time: 0.049, memory: 5854, loss: 1.2159
2022-07-13 12:28:28,140 - mmcls - INFO - Epoch [19][100/575] lr: 9.972e-05, eta: 4:24:52, time: 0.466, data_time: 0.014, memory: 5854, loss: 1.2083
2022-07-13 12:28:51,534 - mmcls - INFO - Epoch [19][150/575] lr: 9.969e-05, eta: 4:24:33, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.2251
2022-07-13 12:29:14,406 - mmcls - INFO - Epoch [19][200/575] lr: 9.967e-05, eta: 4:24:12, time: 0.458, data_time: 0.014, memory: 5854, loss: 1.2212
2022-07-13 12:29:37,453 - mmcls - INFO - Epoch [19][250/575] lr: 9.964e-05, eta: 4:23:52, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.2092
2022-07-13 12:30:00,957 - mmcls - INFO - Epoch [19][300/575] lr: 9.962e-05, eta: 4:23:33, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.2153
2022-07-13 12:30:24,442 - mmcls - INFO - Epoch [19][350/575] lr: 9.959e-05, eta: 4:23:15, time: 0.472, data_time: 0.017, memory: 5854, loss: 1.2110
2022-07-13 12:30:47,507 - mmcls - INFO - Epoch [19][400/575] lr: 9.956e-05, eta: 4:22:55, time: 0.461, data_time: 0.014, memory: 5854, loss: 1.2277
2022-07-13 12:31:10,624 - mmcls - INFO - Epoch [19][450/575] lr: 9.953e-05, eta: 4:22:35, time: 0.463, data_time: 0.014, memory: 5854, loss: 1.2473
2022-07-13 12:31:33,715 - mmcls - INFO - Epoch [19][500/575] lr: 9.950e-05, eta: 4:22:15, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.2373
2022-07-13 12:31:57,076 - mmcls - INFO - Epoch [19][550/575] lr: 9.947e-05, eta: 4:21:56, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.2157
2022-07-13 12:32:08,670 - mmcls - INFO - Saving checkpoint at 19 epochs
2022-07-13 12:33:38,640 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_18.pth was removed
2022-07-13 12:33:42,977 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_19.pth.
2022-07-13 12:33:42,977 - mmcls - INFO - Best mAP is 0.8040 at 19 epoch.
2022-07-13 12:33:43,026 - mmcls - INFO - Epoch(val) [19][282] mAP: 0.8040, CP: 0.6161, CR: 0.8224, CF1: 0.7045, OP: 0.5947, OR: 0.8654, OF1: 0.7050, CP_top3: 0.7503, CR_top3: 0.6518, OP_top3: 0.7779, CF1_top3: 0.6976, OR_top3: 0.6872, OF1_top3: 0.7298
2022-07-13 12:34:08,700 - mmcls - INFO - Epoch [20][50/575] lr: 9.943e-05, eta: 4:20:55, time: 0.505, data_time: 0.051, memory: 5854, loss: 1.1973
2022-07-13 12:34:31,751 - mmcls - INFO - Epoch [20][100/575] lr: 9.939e-05, eta: 4:20:35, time: 0.461, data_time: 0.012, memory: 5854, loss: 1.1985
2022-07-13 12:34:54,933 - mmcls - INFO - Epoch [20][150/575] lr: 9.936e-05, eta: 4:20:15, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.1757
2022-07-13 12:35:18,043 - mmcls - INFO - Epoch [20][200/575] lr: 9.933e-05, eta: 4:19:55, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.2016
2022-07-13 12:35:41,229 - mmcls - INFO - Epoch [20][250/575] lr: 9.929e-05, eta: 4:19:36, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.1899
2022-07-13 12:36:04,263 - mmcls - INFO - Epoch [20][300/575] lr: 9.925e-05, eta: 4:19:15, time: 0.461, data_time: 0.014, memory: 5854, loss: 1.2146
2022-07-13 12:36:27,471 - mmcls - INFO - Epoch [20][350/575] lr: 9.922e-05, eta: 4:18:56, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.2070
2022-07-13 12:36:50,462 - mmcls - INFO - Epoch [20][400/575] lr: 9.918e-05, eta: 4:18:35, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.2148
2022-07-13 12:37:13,781 - mmcls - INFO - Epoch [20][450/575] lr: 9.914e-05, eta: 4:18:16, time: 0.466, data_time: 0.013, memory: 5854, loss: 1.1967
2022-07-13 12:37:36,910 - mmcls - INFO - Epoch [20][500/575] lr: 9.910e-05, eta: 4:17:55, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.2350
2022-07-13 12:38:00,261 - mmcls - INFO - Epoch [20][550/575] lr: 9.906e-05, eta: 4:17:36, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.2112
2022-07-13 12:38:11,705 - mmcls - INFO - Saving checkpoint at 20 epochs
2022-07-13 12:39:42,398 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_19.pth was removed
2022-07-13 12:39:47,565 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_20.pth.
2022-07-13 12:39:47,567 - mmcls - INFO - Best mAP is 0.8078 at 20 epoch.
2022-07-13 12:39:47,610 - mmcls - INFO - Epoch(val) [20][282] mAP: 0.8078, CP: 0.5963, CR: 0.8370, CF1: 0.6964, OP: 0.5396, OR: 0.8766, OF1: 0.6680, CP_top3: 0.7487, CR_top3: 0.6538, OP_top3: 0.7660, CF1_top3: 0.6981, OR_top3: 0.6871, OF1_top3: 0.7244
2022-07-13 12:40:13,583 - mmcls - INFO - Epoch [21][50/575] lr: 9.900e-05, eta: 4:16:39, time: 0.511, data_time: 0.053, memory: 5854, loss: 1.1890
2022-07-13 12:40:36,408 - mmcls - INFO - Epoch [21][100/575] lr: 9.895e-05, eta: 4:16:17, time: 0.455, data_time: 0.014, memory: 5854, loss: 1.1473
2022-07-13 12:40:59,458 - mmcls - INFO - Epoch [21][150/575] lr: 9.891e-05, eta: 4:15:57, time: 0.462, data_time: 0.014, memory: 5854, loss: 1.1723
2022-07-13 12:41:22,745 - mmcls - INFO - Epoch [21][200/575] lr: 9.887e-05, eta: 4:15:38, time: 0.466, data_time: 0.013, memory: 5854, loss: 1.1786
2022-07-13 12:41:45,694 - mmcls - INFO - Epoch [21][250/575] lr: 9.882e-05, eta: 4:15:17, time: 0.458, data_time: 0.013, memory: 5854, loss: 1.2023
2022-07-13 12:42:08,747 - mmcls - INFO - Epoch [21][300/575] lr: 9.877e-05, eta: 4:14:57, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.1887
2022-07-13 12:42:31,865 - mmcls - INFO - Epoch [21][350/575] lr: 9.873e-05, eta: 4:14:36, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.1986
2022-07-13 12:42:54,760 - mmcls - INFO - Epoch [21][400/575] lr: 9.868e-05, eta: 4:14:16, time: 0.458, data_time: 0.014, memory: 5854, loss: 1.1702
2022-07-13 12:43:17,946 - mmcls - INFO - Epoch [21][450/575] lr: 9.863e-05, eta: 4:13:56, time: 0.465, data_time: 0.014, memory: 5854, loss: 1.1968
2022-07-13 12:43:41,143 - mmcls - INFO - Epoch [21][500/575] lr: 9.858e-05, eta: 4:13:36, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.1918
2022-07-13 12:44:04,276 - mmcls - INFO - Epoch [21][550/575] lr: 9.853e-05, eta: 4:13:15, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.2054
2022-07-13 12:44:15,657 - mmcls - INFO - Saving checkpoint at 21 epochs
2022-07-13 12:45:45,422 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_20.pth was removed
2022-07-13 12:45:50,180 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_21.pth.
2022-07-13 12:45:50,183 - mmcls - INFO - Best mAP is 0.8099 at 21 epoch.
2022-07-13 12:45:50,203 - mmcls - INFO - Epoch(val) [21][282] mAP: 0.8099, CP: 0.6136, CR: 0.8277, CF1: 0.7048, OP: 0.5719, OR: 0.8700, OF1: 0.6901, CP_top3: 0.7604, CR_top3: 0.6536, OP_top3: 0.7597, CF1_top3: 0.7030, OR_top3: 0.6904, OF1_top3: 0.7234
2022-07-13 12:46:16,091 - mmcls - INFO - Epoch [22][50/575] lr: 9.845e-05, eta: 4:12:19, time: 0.508, data_time: 0.052, memory: 5854, loss: 1.1769
2022-07-13 12:46:39,071 - mmcls - INFO - Epoch [22][100/575] lr: 9.840e-05, eta: 4:11:58, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.1669
2022-07-13 12:47:02,309 - mmcls - INFO - Epoch [22][150/575] lr: 9.834e-05, eta: 4:11:38, time: 0.465, data_time: 0.013, memory: 5854, loss: 1.1756
2022-07-13 12:47:25,081 - mmcls - INFO - Epoch [22][200/575] lr: 9.829e-05, eta: 4:11:17, time: 0.456, data_time: 0.013, memory: 5854, loss: 1.1733
2022-07-13 12:47:48,154 - mmcls - INFO - Epoch [22][250/575] lr: 9.823e-05, eta: 4:10:57, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.1915
2022-07-13 12:48:11,309 - mmcls - INFO - Epoch [22][300/575] lr: 9.817e-05, eta: 4:10:37, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.1874
2022-07-13 12:48:34,485 - mmcls - INFO - Epoch [22][350/575] lr: 9.812e-05, eta: 4:10:16, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.1776
2022-07-13 12:48:57,593 - mmcls - INFO - Epoch [22][400/575] lr: 9.806e-05, eta: 4:09:56, time: 0.462, data_time: 0.014, memory: 5854, loss: 1.1714
2022-07-13 12:49:20,591 - mmcls - INFO - Epoch [22][450/575] lr: 9.800e-05, eta: 4:09:35, time: 0.461, data_time: 0.014, memory: 5854, loss: 1.1755
2022-07-13 12:49:43,715 - mmcls - INFO - Epoch [22][500/575] lr: 9.794e-05, eta: 4:09:15, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.1812
2022-07-13 12:50:06,724 - mmcls - INFO - Epoch [22][550/575] lr: 9.788e-05, eta: 4:08:54, time: 0.460, data_time: 0.012, memory: 5854, loss: 1.1805
2022-07-13 12:50:18,775 - mmcls - INFO - Saving checkpoint at 22 epochs
2022-07-13 12:51:46,740 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_21.pth was removed
2022-07-13 12:51:51,159 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_22.pth.
2022-07-13 12:51:51,164 - mmcls - INFO - Best mAP is 0.8129 at 22 epoch.
2022-07-13 12:51:51,183 - mmcls - INFO - Epoch(val) [22][282] mAP: 0.8129, CP: 0.5716, CR: 0.8525, CF1: 0.6844, OP: 0.5289, OR: 0.8920, OF1: 0.6640, CP_top3: 0.7369, CR_top3: 0.6588, OP_top3: 0.7548, CF1_top3: 0.6957, OR_top3: 0.6943, OF1_top3: 0.7233
2022-07-13 12:52:17,055 - mmcls - INFO - Epoch [23][50/575] lr: 9.778e-05, eta: 4:07:59, time: 0.508, data_time: 0.052, memory: 5854, loss: 1.1288
2022-07-13 12:52:40,140 - mmcls - INFO - Epoch [23][100/575] lr: 9.772e-05, eta: 4:07:39, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.1374
2022-07-13 12:53:03,156 - mmcls - INFO - Epoch [23][150/575] lr: 9.766e-05, eta: 4:07:18, time: 0.460, data_time: 0.012, memory: 5854, loss: 1.1411
2022-07-13 12:53:26,331 - mmcls - INFO - Epoch [23][200/575] lr: 9.759e-05, eta: 4:06:58, time: 0.464, data_time: 0.014, memory: 5854, loss: 1.1525
2022-07-13 12:53:49,316 - mmcls - INFO - Epoch [23][250/575] lr: 9.753e-05, eta: 4:06:37, time: 0.459, data_time: 0.013, memory: 5854, loss: 1.1719
2022-07-13 12:54:12,498 - mmcls - INFO - Epoch [23][300/575] lr: 9.746e-05, eta: 4:06:17, time: 0.464, data_time: 0.015, memory: 5854, loss: 1.1724
2022-07-13 12:54:35,664 - mmcls - INFO - Epoch [23][350/575] lr: 9.739e-05, eta: 4:05:57, time: 0.463, data_time: 0.012, memory: 5854, loss: 1.1455
2022-07-13 12:54:59,033 - mmcls - INFO - Epoch [23][400/575] lr: 9.732e-05, eta: 4:05:37, time: 0.467, data_time: 0.014, memory: 5854, loss: 1.1630
2022-07-13 12:55:22,298 - mmcls - INFO - Epoch [23][450/575] lr: 9.725e-05, eta: 4:05:17, time: 0.465, data_time: 0.014, memory: 5854, loss: 1.1716
2022-07-13 12:55:45,500 - mmcls - INFO - Epoch [23][500/575] lr: 9.718e-05, eta: 4:04:57, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.1659
2022-07-13 12:56:08,672 - mmcls - INFO - Epoch [23][550/575] lr: 9.711e-05, eta: 4:04:36, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.1696
2022-07-13 12:56:20,517 - mmcls - INFO - Saving checkpoint at 23 epochs
2022-07-13 12:57:48,920 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_22.pth was removed
2022-07-13 12:57:53,333 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_23.pth.
2022-07-13 12:57:53,334 - mmcls - INFO - Best mAP is 0.8135 at 23 epoch.
2022-07-13 12:57:53,350 - mmcls - INFO - Epoch(val) [23][282] mAP: 0.8135, CP: 0.6035, CR: 0.8421, CF1: 0.7031, OP: 0.5413, OR: 0.8855, OF1: 0.6719, CP_top3: 0.7628, CR_top3: 0.6533, OP_top3: 0.7613, CF1_top3: 0.7038, OR_top3: 0.6930, OF1_top3: 0.7256
2022-07-13 12:58:18,941 - mmcls - INFO - Epoch [24][50/575] lr: 9.700e-05, eta: 4:03:42, time: 0.502, data_time: 0.051, memory: 5854, loss: 1.1328
2022-07-13 12:58:42,052 - mmcls - INFO - Epoch [24][100/575] lr: 9.693e-05, eta: 4:03:22, time: 0.463, data_time: 0.014, memory: 5854, loss: 1.1353
2022-07-13 12:59:05,117 - mmcls - INFO - Epoch [24][150/575] lr: 9.686e-05, eta: 4:03:01, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.1497
2022-07-13 12:59:28,276 - mmcls - INFO - Epoch [24][200/575] lr: 9.678e-05, eta: 4:02:41, time: 0.463, data_time: 0.014, memory: 5854, loss: 1.1319
2022-07-13 12:59:51,280 - mmcls - INFO - Epoch [24][250/575] lr: 9.671e-05, eta: 4:02:20, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.1204
2022-07-13 13:00:14,574 - mmcls - INFO - Epoch [24][300/575] lr: 9.663e-05, eta: 4:02:00, time: 0.466, data_time: 0.013, memory: 5854, loss: 1.1506
2022-07-13 13:00:37,508 - mmcls - INFO - Epoch [24][350/575] lr: 9.655e-05, eta: 4:01:39, time: 0.459, data_time: 0.014, memory: 5854, loss: 1.1334
2022-07-13 13:01:00,797 - mmcls - INFO - Epoch [24][400/575] lr: 9.647e-05, eta: 4:01:19, time: 0.466, data_time: 0.014, memory: 5854, loss: 1.1803
2022-07-13 13:01:23,715 - mmcls - INFO - Epoch [24][450/575] lr: 9.640e-05, eta: 4:00:58, time: 0.458, data_time: 0.014, memory: 5854, loss: 1.1662
2022-07-13 13:01:46,956 - mmcls - INFO - Epoch [24][500/575] lr: 9.632e-05, eta: 4:00:37, time: 0.465, data_time: 0.013, memory: 5854, loss: 1.1394
2022-07-13 13:02:09,952 - mmcls - INFO - Epoch [24][550/575] lr: 9.623e-05, eta: 4:00:16, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.1534
2022-07-13 13:02:21,653 - mmcls - INFO - Saving checkpoint at 24 epochs
2022-07-13 13:03:51,242 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_23.pth was removed
2022-07-13 13:03:55,583 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_24.pth.
2022-07-13 13:03:55,584 - mmcls - INFO - Best mAP is 0.8164 at 24 epoch.
2022-07-13 13:03:55,603 - mmcls - INFO - Epoch(val) [24][282] mAP: 0.8164, CP: 0.5627, CR: 0.8623, CF1: 0.6810, OP: 0.5183, OR: 0.9016, OF1: 0.6582, CP_top3: 0.7428, CR_top3: 0.6623, OP_top3: 0.7503, CF1_top3: 0.7003, OR_top3: 0.6993, OF1_top3: 0.7239
2022-07-13 13:04:21,312 - mmcls - INFO - Epoch [25][50/575] lr: 9.611e-05, eta: 3:59:23, time: 0.504, data_time: 0.052, memory: 5854, loss: 1.1068
2022-07-13 13:04:44,176 - mmcls - INFO - Epoch [25][100/575] lr: 9.603e-05, eta: 3:59:02, time: 0.457, data_time: 0.013, memory: 5854, loss: 1.1198
2022-07-13 13:05:07,289 - mmcls - INFO - Epoch [25][150/575] lr: 9.595e-05, eta: 3:58:42, time: 0.463, data_time: 0.014, memory: 5854, loss: 1.1331
2022-07-13 13:05:30,226 - mmcls - INFO - Epoch [25][200/575] lr: 9.586e-05, eta: 3:58:21, time: 0.459, data_time: 0.013, memory: 5854, loss: 1.1473
2022-07-13 13:05:53,415 - mmcls - INFO - Epoch [25][250/575] lr: 9.578e-05, eta: 3:58:00, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.1123
2022-07-13 13:06:16,320 - mmcls - INFO - Epoch [25][300/575] lr: 9.569e-05, eta: 3:57:39, time: 0.458, data_time: 0.014, memory: 5854, loss: 1.1083
2022-07-13 13:06:39,728 - mmcls - INFO - Epoch [25][350/575] lr: 9.560e-05, eta: 3:57:19, time: 0.469, data_time: 0.013, memory: 5854, loss: 1.1404
2022-07-13 13:07:03,067 - mmcls - INFO - Epoch [25][400/575] lr: 9.551e-05, eta: 3:56:59, time: 0.465, data_time: 0.014, memory: 5854, loss: 1.1418
2022-07-13 13:07:26,229 - mmcls - INFO - Epoch [25][450/575] lr: 9.543e-05, eta: 3:56:39, time: 0.466, data_time: 0.015, memory: 5854, loss: 1.1603
2022-07-13 13:07:49,445 - mmcls - INFO - Epoch [25][500/575] lr: 9.534e-05, eta: 3:56:18, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.1244
2022-07-13 13:08:12,693 - mmcls - INFO - Epoch [25][550/575] lr: 9.525e-05, eta: 3:55:58, time: 0.465, data_time: 0.014, memory: 5854, loss: 1.1516
2022-07-13 13:08:24,339 - mmcls - INFO - Saving checkpoint at 25 epochs
2022-07-13 13:09:53,316 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_24.pth was removed
2022-07-13 13:09:57,690 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_25.pth.
2022-07-13 13:09:57,690 - mmcls - INFO - Best mAP is 0.8196 at 25 epoch.
2022-07-13 13:09:57,710 - mmcls - INFO - Epoch(val) [25][282] mAP: 0.8196, CP: 0.6012, CR: 0.8480, CF1: 0.7036, OP: 0.5705, OR: 0.8849, OF1: 0.6938, CP_top3: 0.7568, CR_top3: 0.6697, OP_top3: 0.7645, CF1_top3: 0.7106, OR_top3: 0.6994, OF1_top3: 0.7305
2022-07-13 13:10:23,626 - mmcls - INFO - Epoch [26][50/575] lr: 9.511e-05, eta: 3:55:06, time: 0.509, data_time: 0.052, memory: 5854, loss: 1.0857
2022-07-13 13:10:46,704 - mmcls - INFO - Epoch [26][100/575] lr: 9.502e-05, eta: 3:54:46, time: 0.461, data_time: 0.012, memory: 5854, loss: 1.1012
2022-07-13 13:11:10,117 - mmcls - INFO - Epoch [26][150/575] lr: 9.492e-05, eta: 3:54:26, time: 0.469, data_time: 0.014, memory: 5854, loss: 1.1309
2022-07-13 13:11:33,100 - mmcls - INFO - Epoch [26][200/575] lr: 9.483e-05, eta: 3:54:05, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.1300
2022-07-13 13:11:56,107 - mmcls - INFO - Epoch [26][250/575] lr: 9.473e-05, eta: 3:53:44, time: 0.459, data_time: 0.013, memory: 5854, loss: 1.1128
2022-07-13 13:12:19,535 - mmcls - INFO - Epoch [26][300/575] lr: 9.464e-05, eta: 3:53:24, time: 0.470, data_time: 0.014, memory: 5854, loss: 1.1351
2022-07-13 13:12:42,650 - mmcls - INFO - Epoch [26][350/575] lr: 9.454e-05, eta: 3:53:03, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.1304
2022-07-13 13:13:05,763 - mmcls - INFO - Epoch [26][400/575] lr: 9.444e-05, eta: 3:52:42, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.1300
2022-07-13 13:13:28,732 - mmcls - INFO - Epoch [26][450/575] lr: 9.435e-05, eta: 3:52:21, time: 0.459, data_time: 0.013, memory: 5854, loss: 1.1039
2022-07-13 13:13:51,909 - mmcls - INFO - Epoch [26][500/575] lr: 9.425e-05, eta: 3:52:00, time: 0.463, data_time: 0.014, memory: 5854, loss: 1.1254
2022-07-13 13:14:14,858 - mmcls - INFO - Epoch [26][550/575] lr: 9.415e-05, eta: 3:51:39, time: 0.459, data_time: 0.014, memory: 5854, loss: 1.1118
2022-07-13 13:14:26,569 - mmcls - INFO - Saving checkpoint at 26 epochs
2022-07-13 13:15:56,902 - mmcls - INFO - Epoch(val) [26][282] mAP: 0.8186, CP: 0.5832, CR: 0.8562, CF1: 0.6938, OP: 0.5520, OR: 0.8910, OF1: 0.6817, CP_top3: 0.7407, CR_top3: 0.6703, OP_top3: 0.7666, CF1_top3: 0.7037, OR_top3: 0.6983, OF1_top3: 0.7308
2022-07-13 13:16:22,153 - mmcls - INFO - Epoch [27][50/575] lr: 9.400e-05, eta: 3:50:48, time: 0.497, data_time: 0.050, memory: 5854, loss: 1.0744
2022-07-13 13:16:45,247 - mmcls - INFO - Epoch [27][100/575] lr: 9.389e-05, eta: 3:50:27, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.0989
2022-07-13 13:17:08,529 - mmcls - INFO - Epoch [27][150/575] lr: 9.379e-05, eta: 3:50:06, time: 0.465, data_time: 0.013, memory: 5854, loss: 1.0961
2022-07-13 13:17:31,910 - mmcls - INFO - Epoch [27][200/575] lr: 9.369e-05, eta: 3:49:46, time: 0.468, data_time: 0.013, memory: 5854, loss: 1.1006
2022-07-13 13:17:54,954 - mmcls - INFO - Epoch [27][250/575] lr: 9.358e-05, eta: 3:49:25, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.1080
2022-07-13 13:18:18,095 - mmcls - INFO - Epoch [27][300/575] lr: 9.348e-05, eta: 3:49:04, time: 0.459, data_time: 0.013, memory: 5854, loss: 1.0984
2022-07-13 13:18:40,936 - mmcls - INFO - Epoch [27][350/575] lr: 9.337e-05, eta: 3:48:43, time: 0.460, data_time: 0.015, memory: 5854, loss: 1.1097
2022-07-13 13:19:03,836 - mmcls - INFO - Epoch [27][400/575] lr: 9.327e-05, eta: 3:48:22, time: 0.458, data_time: 0.014, memory: 5854, loss: 1.1135
2022-07-13 13:19:26,837 - mmcls - INFO - Epoch [27][450/575] lr: 9.316e-05, eta: 3:48:01, time: 0.461, data_time: 0.015, memory: 5854, loss: 1.1158
2022-07-13 13:19:49,932 - mmcls - INFO - Epoch [27][500/575] lr: 9.305e-05, eta: 3:47:40, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.1146
2022-07-13 13:20:13,059 - mmcls - INFO - Epoch [27][550/575] lr: 9.294e-05, eta: 3:47:19, time: 0.463, data_time: 0.014, memory: 5854, loss: 1.1050
2022-07-13 13:20:24,584 - mmcls - INFO - Saving checkpoint at 27 epochs
2022-07-13 13:21:54,785 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_25.pth was removed
2022-07-13 13:21:59,146 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_27.pth.
2022-07-13 13:21:59,146 - mmcls - INFO - Best mAP is 0.8226 at 27 epoch.
2022-07-13 13:21:59,162 - mmcls - INFO - Epoch(val) [27][282] mAP: 0.8226, CP: 0.5750, CR: 0.8608, CF1: 0.6894, OP: 0.5580, OR: 0.8928, OF1: 0.6868, CP_top3: 0.7386, CR_top3: 0.6783, OP_top3: 0.7671, CF1_top3: 0.7072, OR_top3: 0.7026, OF1_top3: 0.7334
2022-07-13 13:22:25,776 - mmcls - INFO - Epoch [28][50/575] lr: 9.278e-05, eta: 3:46:31, time: 0.523, data_time: 0.054, memory: 5854, loss: 1.0877
2022-07-13 13:22:48,822 - mmcls - INFO - Epoch [28][100/575] lr: 9.267e-05, eta: 3:46:10, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.0837
2022-07-13 13:23:12,176 - mmcls - INFO - Epoch [28][150/575] lr: 9.255e-05, eta: 3:45:50, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.0773
2022-07-13 13:23:35,303 - mmcls - INFO - Epoch [28][200/575] lr: 9.244e-05, eta: 3:45:29, time: 0.462, data_time: 0.014, memory: 5854, loss: 1.0811
2022-07-13 13:23:58,601 - mmcls - INFO - Epoch [28][250/575] lr: 9.233e-05, eta: 3:45:09, time: 0.466, data_time: 0.013, memory: 5854, loss: 1.0703
2022-07-13 13:24:21,824 - mmcls - INFO - Epoch [28][300/575] lr: 9.221e-05, eta: 3:44:48, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.0851
2022-07-13 13:24:44,985 - mmcls - INFO - Epoch [28][350/575] lr: 9.210e-05, eta: 3:44:27, time: 0.461, data_time: 0.014, memory: 5854, loss: 1.0994
2022-07-13 13:25:08,370 - mmcls - INFO - Epoch [28][400/575] lr: 9.198e-05, eta: 3:44:07, time: 0.470, data_time: 0.016, memory: 5854, loss: 1.1073
2022-07-13 13:25:31,541 - mmcls - INFO - Epoch [28][450/575] lr: 9.187e-05, eta: 3:43:46, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.0788
2022-07-13 13:25:54,721 - mmcls - INFO - Epoch [28][500/575] lr: 9.175e-05, eta: 3:43:25, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.1049
2022-07-13 13:26:17,932 - mmcls - INFO - Epoch [28][550/575] lr: 9.163e-05, eta: 3:43:04, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.1141
2022-07-13 13:26:29,564 - mmcls - INFO - Saving checkpoint at 28 epochs
2022-07-13 13:27:58,247 - mmcls - INFO - Epoch(val) [28][282] mAP: 0.8221, CP: 0.6151, CR: 0.8422, CF1: 0.7109, OP: 0.6048, OR: 0.8761, OF1: 0.7156, CP_top3: 0.7522, CR_top3: 0.6731, OP_top3: 0.7871, CF1_top3: 0.7105, OR_top3: 0.6986, OF1_top3: 0.7403
2022-07-13 13:28:24,045 - mmcls - INFO - Epoch [29][50/575] lr: 9.145e-05, eta: 3:42:16, time: 0.508, data_time: 0.050, memory: 5854, loss: 1.0404
2022-07-13 13:28:47,179 - mmcls - INFO - Epoch [29][100/575] lr: 9.133e-05, eta: 3:41:55, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.0565
2022-07-13 13:29:10,689 - mmcls - INFO - Epoch [29][150/575] lr: 9.121e-05, eta: 3:41:34, time: 0.470, data_time: 0.013, memory: 5854, loss: 1.0729
2022-07-13 13:29:33,782 - mmcls - INFO - Epoch [29][200/575] lr: 9.109e-05, eta: 3:41:13, time: 0.461, data_time: 0.012, memory: 5854, loss: 1.0691
2022-07-13 13:29:57,096 - mmcls - INFO - Epoch [29][250/575] lr: 9.097e-05, eta: 3:40:53, time: 0.466, data_time: 0.014, memory: 5854, loss: 1.0814
2022-07-13 13:30:20,645 - mmcls - INFO - Epoch [29][300/575] lr: 9.085e-05, eta: 3:40:33, time: 0.469, data_time: 0.014, memory: 5854, loss: 1.0820
2022-07-13 13:30:43,426 - mmcls - INFO - Epoch [29][350/575] lr: 9.073e-05, eta: 3:40:11, time: 0.457, data_time: 0.014, memory: 5854, loss: 1.0686
2022-07-13 13:31:06,782 - mmcls - INFO - Epoch [29][400/575] lr: 9.060e-05, eta: 3:39:51, time: 0.468, data_time: 0.014, memory: 5854, loss: 1.0734
2022-07-13 13:31:30,318 - mmcls - INFO - Epoch [29][450/575] lr: 9.048e-05, eta: 3:39:30, time: 0.470, data_time: 0.014, memory: 5854, loss: 1.0977
2022-07-13 13:31:53,578 - mmcls - INFO - Epoch [29][500/575] lr: 9.035e-05, eta: 3:39:10, time: 0.466, data_time: 0.013, memory: 5854, loss: 1.0803
2022-07-13 13:32:16,846 - mmcls - INFO - Epoch [29][550/575] lr: 9.022e-05, eta: 3:38:49, time: 0.466, data_time: 0.013, memory: 5854, loss: 1.0908
2022-07-13 13:32:28,423 - mmcls - INFO - Saving checkpoint at 29 epochs
2022-07-13 13:33:58,416 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_27.pth was removed
2022-07-13 13:34:02,751 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_29.pth.
2022-07-13 13:34:02,751 - mmcls - INFO - Best mAP is 0.8229 at 29 epoch.
2022-07-13 13:34:02,795 - mmcls - INFO - Epoch(val) [29][282] mAP: 0.8229, CP: 0.5729, CR: 0.8691, CF1: 0.6906, OP: 0.5258, OR: 0.9038, OF1: 0.6648, CP_top3: 0.7465, CR_top3: 0.6711, OP_top3: 0.7640, CF1_top3: 0.7068, OR_top3: 0.7011, OF1_top3: 0.7312
2022-07-13 13:34:28,549 - mmcls - INFO - Epoch [30][50/575] lr: 9.003e-05, eta: 3:38:01, time: 0.506, data_time: 0.050, memory: 5854, loss: 1.0420
2022-07-13 13:34:51,847 - mmcls - INFO - Epoch [30][100/575] lr: 8.990e-05, eta: 3:37:40, time: 0.466, data_time: 0.013, memory: 5854, loss: 1.0676
2022-07-13 13:35:14,997 - mmcls - INFO - Epoch [30][150/575] lr: 8.978e-05, eta: 3:37:19, time: 0.463, data_time: 0.012, memory: 5854, loss: 1.0652
2022-07-13 13:35:38,188 - mmcls - INFO - Epoch [30][200/575] lr: 8.965e-05, eta: 3:36:58, time: 0.463, data_time: 0.012, memory: 5854, loss: 1.0396
2022-07-13 13:36:01,554 - mmcls - INFO - Epoch [30][250/575] lr: 8.952e-05, eta: 3:36:38, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.0827
2022-07-13 13:36:24,662 - mmcls - INFO - Epoch [30][300/575] lr: 8.938e-05, eta: 3:36:17, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.0575
2022-07-13 13:36:47,711 - mmcls - INFO - Epoch [30][350/575] lr: 8.925e-05, eta: 3:35:55, time: 0.461, data_time: 0.014, memory: 5854, loss: 1.0419
2022-07-13 13:37:10,771 - mmcls - INFO - Epoch [30][400/575] lr: 8.912e-05, eta: 3:35:34, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.0447
2022-07-13 13:37:34,241 - mmcls - INFO - Epoch [30][450/575] lr: 8.899e-05, eta: 3:35:14, time: 0.469, data_time: 0.013, memory: 5854, loss: 1.0811
2022-07-13 13:37:57,493 - mmcls - INFO - Epoch [30][500/575] lr: 8.885e-05, eta: 3:34:53, time: 0.465, data_time: 0.014, memory: 5854, loss: 1.0797
2022-07-13 13:38:20,664 - mmcls - INFO - Epoch [30][550/575] lr: 8.872e-05, eta: 3:34:32, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.0743
2022-07-13 13:38:32,240 - mmcls - INFO - Saving checkpoint at 30 epochs
2022-07-13 13:40:01,767 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_29.pth was removed
2022-07-13 13:40:06,257 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_30.pth.
2022-07-13 13:40:06,260 - mmcls - INFO - Best mAP is 0.8239 at 30 epoch.
2022-07-13 13:40:06,277 - mmcls - INFO - Epoch(val) [30][282] mAP: 0.8239, CP: 0.5881, CR: 0.8578, CF1: 0.6978, OP: 0.5538, OR: 0.8935, OF1: 0.6838, CP_top3: 0.7512, CR_top3: 0.6732, OP_top3: 0.7612, CF1_top3: 0.7101, OR_top3: 0.7018, OF1_top3: 0.7303
2022-07-13 13:40:31,965 - mmcls - INFO - Epoch [31][50/575] lr: 8.851e-05, eta: 3:33:45, time: 0.505, data_time: 0.051, memory: 5854, loss: 1.0480
2022-07-13 13:40:55,031 - mmcls - INFO - Epoch [31][100/575] lr: 8.838e-05, eta: 3:33:23, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.0297
2022-07-13 13:41:18,399 - mmcls - INFO - Epoch [31][150/575] lr: 8.824e-05, eta: 3:33:03, time: 0.468, data_time: 0.013, memory: 5854, loss: 1.0266
2022-07-13 13:41:41,744 - mmcls - INFO - Epoch [31][200/575] lr: 8.810e-05, eta: 3:32:42, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.0317
2022-07-13 13:42:04,829 - mmcls - INFO - Epoch [31][250/575] lr: 8.796e-05, eta: 3:32:21, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.0455
2022-07-13 13:42:27,951 - mmcls - INFO - Epoch [31][300/575] lr: 8.783e-05, eta: 3:32:00, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.0477
2022-07-13 13:42:51,053 - mmcls - INFO - Epoch [31][350/575] lr: 8.769e-05, eta: 3:31:39, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.0476
2022-07-13 13:43:14,396 - mmcls - INFO - Epoch [31][400/575] lr: 8.755e-05, eta: 3:31:18, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.0447
2022-07-13 13:43:37,743 - mmcls - INFO - Epoch [31][450/575] lr: 8.740e-05, eta: 3:30:57, time: 0.467, data_time: 0.013, memory: 5854, loss: 1.0499
2022-07-13 13:44:00,940 - mmcls - INFO - Epoch [31][500/575] lr: 8.726e-05, eta: 3:30:36, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.0744
2022-07-13 13:44:24,025 - mmcls - INFO - Epoch [31][550/575] lr: 8.712e-05, eta: 3:30:15, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.0358
2022-07-13 13:44:35,646 - mmcls - INFO - Saving checkpoint at 31 epochs
2022-07-13 13:46:06,004 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_30.pth was removed
2022-07-13 13:46:11,229 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_31.pth.
2022-07-13 13:46:11,232 - mmcls - INFO - Best mAP is 0.8251 at 31 epoch.
2022-07-13 13:46:11,249 - mmcls - INFO - Epoch(val) [31][282] mAP: 0.8251, CP: 0.5866, CR: 0.8592, CF1: 0.6972, OP: 0.5420, OR: 0.8973, OF1: 0.6758, CP_top3: 0.7566, CR_top3: 0.6697, OP_top3: 0.7584, CF1_top3: 0.7105, OR_top3: 0.7024, OF1_top3: 0.7293
2022-07-13 13:46:37,010 - mmcls - INFO - Epoch [32][50/575] lr: 8.690e-05, eta: 3:29:28, time: 0.506, data_time: 0.054, memory: 5854, loss: 1.0167
2022-07-13 13:47:00,390 - mmcls - INFO - Epoch [32][100/575] lr: 8.676e-05, eta: 3:29:08, time: 0.468, data_time: 0.013, memory: 5854, loss: 1.0332
2022-07-13 13:47:23,408 - mmcls - INFO - Epoch [32][150/575] lr: 8.661e-05, eta: 3:28:46, time: 0.459, data_time: 0.013, memory: 5854, loss: 1.0235
2022-07-13 13:47:46,441 - mmcls - INFO - Epoch [32][200/575] lr: 8.647e-05, eta: 3:28:25, time: 0.462, data_time: 0.014, memory: 5854, loss: 1.0411
2022-07-13 13:48:09,672 - mmcls - INFO - Epoch [32][250/575] lr: 8.632e-05, eta: 3:28:04, time: 0.464, data_time: 0.012, memory: 5854, loss: 1.0605
2022-07-13 13:48:32,918 - mmcls - INFO - Epoch [32][300/575] lr: 8.618e-05, eta: 3:27:43, time: 0.465, data_time: 0.013, memory: 5854, loss: 1.0449
2022-07-13 13:48:56,130 - mmcls - INFO - Epoch [32][350/575] lr: 8.603e-05, eta: 3:27:22, time: 0.464, data_time: 0.014, memory: 5854, loss: 1.0350
2022-07-13 13:49:19,493 - mmcls - INFO - Epoch [32][400/575] lr: 8.588e-05, eta: 3:27:01, time: 0.466, data_time: 0.013, memory: 5854, loss: 1.0219
2022-07-13 13:49:42,632 - mmcls - INFO - Epoch [32][450/575] lr: 8.573e-05, eta: 3:26:40, time: 0.464, data_time: 0.014, memory: 5854, loss: 1.0506
2022-07-13 13:50:05,570 - mmcls - INFO - Epoch [32][500/575] lr: 8.558e-05, eta: 3:26:18, time: 0.459, data_time: 0.014, memory: 5854, loss: 1.0462
2022-07-13 13:50:29,104 - mmcls - INFO - Epoch [32][550/575] lr: 8.543e-05, eta: 3:25:58, time: 0.471, data_time: 0.013, memory: 5854, loss: 1.0268
2022-07-13 13:50:40,907 - mmcls - INFO - Saving checkpoint at 32 epochs
2022-07-13 13:52:10,199 - mmcls - INFO - Epoch(val) [32][282] mAP: 0.8237, CP: 0.6174, CR: 0.8417, CF1: 0.7123, OP: 0.6169, OR: 0.8727, OF1: 0.7228, CP_top3: 0.7508, CR_top3: 0.6786, OP_top3: 0.7819, CF1_top3: 0.7129, OR_top3: 0.7006, OF1_top3: 0.7390
2022-07-13 13:52:35,665 - mmcls - INFO - Epoch [33][50/575] lr: 8.520e-05, eta: 3:25:12, time: 0.502, data_time: 0.050, memory: 5854, loss: 0.9921
2022-07-13 13:52:58,829 - mmcls - INFO - Epoch [33][100/575] lr: 8.505e-05, eta: 3:24:50, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.0270
2022-07-13 13:53:21,830 - mmcls - INFO - Epoch [33][150/575] lr: 8.490e-05, eta: 3:24:29, time: 0.460, data_time: 0.014, memory: 5854, loss: 1.0144
2022-07-13 13:53:45,158 - mmcls - INFO - Epoch [33][200/575] lr: 8.475e-05, eta: 3:24:08, time: 0.467, data_time: 0.014, memory: 5854, loss: 1.0364
2022-07-13 13:54:08,695 - mmcls - INFO - Epoch [33][250/575] lr: 8.459e-05, eta: 3:23:48, time: 0.471, data_time: 0.014, memory: 5854, loss: 1.0106
2022-07-13 13:54:31,679 - mmcls - INFO - Epoch [33][300/575] lr: 8.444e-05, eta: 3:23:26, time: 0.460, data_time: 0.013, memory: 5854, loss: 1.0180
2022-07-13 13:54:54,812 - mmcls - INFO - Epoch [33][350/575] lr: 8.428e-05, eta: 3:23:05, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.0284
2022-07-13 13:55:17,935 - mmcls - INFO - Epoch [33][400/575] lr: 8.413e-05, eta: 3:22:44, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.0361
2022-07-13 13:55:40,880 - mmcls - INFO - Epoch [33][450/575] lr: 8.397e-05, eta: 3:22:22, time: 0.459, data_time: 0.013, memory: 5854, loss: 1.0318
2022-07-13 13:56:04,082 - mmcls - INFO - Epoch [33][500/575] lr: 8.381e-05, eta: 3:22:01, time: 0.464, data_time: 0.013, memory: 5854, loss: 1.0090
2022-07-13 13:56:27,404 - mmcls - INFO - Epoch [33][550/575] lr: 8.366e-05, eta: 3:21:40, time: 0.466, data_time: 0.013, memory: 5854, loss: 1.0368
2022-07-13 13:56:38,922 - mmcls - INFO - Saving checkpoint at 33 epochs
2022-07-13 13:58:08,859 - mmcls - INFO - Epoch(val) [33][282] mAP: 0.8231, CP: 0.6159, CR: 0.8429, CF1: 0.7117, OP: 0.6178, OR: 0.8734, OF1: 0.7237, CP_top3: 0.7514, CR_top3: 0.6777, OP_top3: 0.7915, CF1_top3: 0.7127, OR_top3: 0.7003, OF1_top3: 0.7431
2022-07-13 13:58:34,303 - mmcls - INFO - Epoch [34][50/575] lr: 8.342e-05, eta: 3:20:54, time: 0.500, data_time: 0.050, memory: 5854, loss: 0.9848
2022-07-13 13:58:57,100 - mmcls - INFO - Epoch [34][100/575] lr: 8.326e-05, eta: 3:20:33, time: 0.455, data_time: 0.013, memory: 5854, loss: 1.0099
2022-07-13 13:59:20,604 - mmcls - INFO - Epoch [34][150/575] lr: 8.310e-05, eta: 3:20:12, time: 0.471, data_time: 0.014, memory: 5854, loss: 0.9778
2022-07-13 13:59:44,188 - mmcls - INFO - Epoch [34][200/575] lr: 8.294e-05, eta: 3:19:51, time: 0.472, data_time: 0.013, memory: 5854, loss: 0.9963
2022-07-13 14:00:07,000 - mmcls - INFO - Epoch [34][250/575] lr: 8.278e-05, eta: 3:19:30, time: 0.456, data_time: 0.013, memory: 5854, loss: 1.0052
2022-07-13 14:00:30,702 - mmcls - INFO - Epoch [34][300/575] lr: 8.262e-05, eta: 3:19:09, time: 0.474, data_time: 0.013, memory: 5854, loss: 1.0107
2022-07-13 14:00:53,864 - mmcls - INFO - Epoch [34][350/575] lr: 8.246e-05, eta: 3:18:48, time: 0.462, data_time: 0.015, memory: 5854, loss: 1.0129
2022-07-13 14:01:17,122 - mmcls - INFO - Epoch [34][400/575] lr: 8.229e-05, eta: 3:18:27, time: 0.466, data_time: 0.014, memory: 5854, loss: 1.0169
2022-07-13 14:01:40,204 - mmcls - INFO - Epoch [34][450/575] lr: 8.213e-05, eta: 3:18:05, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.0179
2022-07-13 14:02:03,288 - mmcls - INFO - Epoch [34][500/575] lr: 8.197e-05, eta: 3:17:44, time: 0.461, data_time: 0.013, memory: 5854, loss: 1.0254
2022-07-13 14:02:26,636 - mmcls - INFO - Epoch [34][550/575] lr: 8.180e-05, eta: 3:17:23, time: 0.468, data_time: 0.014, memory: 5854, loss: 1.0309
2022-07-13 14:02:38,105 - mmcls - INFO - Saving checkpoint at 34 epochs
2022-07-13 14:04:08,824 - mmcls - INFO - Epoch(val) [34][282] mAP: 0.8232, CP: 0.6174, CR: 0.8431, CF1: 0.7128, OP: 0.6081, OR: 0.8771, OF1: 0.7182, CP_top3: 0.7545, CR_top3: 0.6750, OP_top3: 0.7859, CF1_top3: 0.7126, OR_top3: 0.6998, OF1_top3: 0.7403
2022-07-13 14:04:34,161 - mmcls - INFO - Epoch [35][50/575] lr: 8.155e-05, eta: 3:16:38, time: 0.499, data_time: 0.051, memory: 5854, loss: 0.9905
2022-07-13 14:04:57,074 - mmcls - INFO - Epoch [35][100/575] lr: 8.139e-05, eta: 3:16:16, time: 0.458, data_time: 0.013, memory: 5854, loss: 0.9774
2022-07-13 14:05:20,146 - mmcls - INFO - Epoch [35][150/575] lr: 8.122e-05, eta: 3:15:55, time: 0.461, data_time: 0.013, memory: 5854, loss: 0.9748
2022-07-13 14:05:43,024 - mmcls - INFO - Epoch [35][200/575] lr: 8.106e-05, eta: 3:15:33, time: 0.458, data_time: 0.013, memory: 5854, loss: 0.9961
2022-07-13 14:06:06,222 - mmcls - INFO - Epoch [35][250/575] lr: 8.089e-05, eta: 3:15:12, time: 0.464, data_time: 0.013, memory: 5854, loss: 0.9967
2022-07-13 14:06:29,545 - mmcls - INFO - Epoch [35][300/575] lr: 8.072e-05, eta: 3:14:51, time: 0.466, data_time: 0.013, memory: 5854, loss: 1.0047
2022-07-13 14:06:53,003 - mmcls - INFO - Epoch [35][350/575] lr: 8.055e-05, eta: 3:14:30, time: 0.469, data_time: 0.013, memory: 5854, loss: 0.9894
2022-07-13 14:07:16,356 - mmcls - INFO - Epoch [35][400/575] lr: 8.038e-05, eta: 3:14:09, time: 0.466, data_time: 0.012, memory: 5854, loss: 0.9905
2022-07-13 14:07:39,500 - mmcls - INFO - Epoch [35][450/575] lr: 8.021e-05, eta: 3:13:48, time: 0.463, data_time: 0.013, memory: 5854, loss: 1.0116
2022-07-13 14:08:02,627 - mmcls - INFO - Epoch [35][500/575] lr: 8.004e-05, eta: 3:13:26, time: 0.462, data_time: 0.013, memory: 5854, loss: 1.0042
2022-07-13 14:08:25,555 - mmcls - INFO - Epoch [35][550/575] lr: 7.987e-05, eta: 3:13:05, time: 0.459, data_time: 0.014, memory: 5854, loss: 0.9876
2022-07-13 14:08:37,054 - mmcls - INFO - Saving checkpoint at 35 epochs
2022-07-13 14:10:06,796 - mmcls - INFO - The previous best checkpoint /work_dirs/resnet101_coco_asy/best_mAP_epoch_31.pth was removed
2022-07-13 14:10:11,281 - mmcls - INFO - Now best checkpoint is saved as best_mAP_epoch_35.pth.
2022-07-13 14:10:11,282 - mmcls - INFO - Best mAP is 0.8260 at 35 epoch.
2022-07-13 14:10:11,303 - mmcls - INFO - Epoch(val) [35][282] mAP: 0.8260, CP: 0.5937, CR: 0.8549, CF1: 0.7008, OP: 0.5733, OR: 0.8895, OF1: 0.6972, CP_top3: 0.7460, CR_top3: 0.6778, OP_top3: 0.7721, CF1_top3: 0.7103, OR_top3: 0.7031, OF1_top3: 0.7360
2022-07-13 14:10:36,971 - mmcls - INFO - Epoch [36][50/575] lr: 7.961e-05, eta: 3:12:20, time: 0.504, data_time: 0.051, memory: 5854, loss: 0.9487
2022-07-13 14:11:00,017 - mmcls - INFO - Epoch [36][100/575] lr: 7.944e-05, eta: 3:11:59, time: 0.460, data_time: 0.013, memory: 5854, loss: 0.9803
2022-07-13 14:11:22,940 - mmcls - INFO - Epoch [36][150/575] lr: 7.927e-05, eta: 3:11:37, time: 0.460, data_time: 0.013, memory: 5854, loss: 0.9876
2022-07-13 14:11:46,057 - mmcls - INFO - Epoch [36][200/575] lr: 7.910e-05, eta: 3:11:16, time: 0.463, data_time: 0.014, memory: 5854, loss: 0.9582
2022-07-13 14:12:09,283 - mmcls - INFO - Epoch [36][250/575] lr: 7.892e-05, eta: 3:10:55, time: 0.465, data_time: 0.013, memory: 5854, loss: 0.9780
2022-07-13 14:12:32,535 - mmcls - INFO - Epoch [36][300/575] lr: 7.875e-05, eta: 3:10:33, time: 0.465, data_time: 0.012, memory: 5854, loss: 0.9708
2022-07-13 14:12:55,799 - mmcls - INFO - Epoch [36][350/575] lr: 7.857e-05, eta: 3:10:12, time: 0.465, data_time: 0.013, memory: 5854, loss: 0.9669
2022-07-13 14:13:18,856 - mmcls - INFO - Epoch [36][400/575] lr: 7.840e-05, eta: 3:09:51, time: 0.461, data_time: 0.013, memory: 5854, loss: 0.9991
2022-07-13 14:13:42,108 - mmcls - INFO - Epoch [36][450/575] lr: 7.822e-05, eta: 3:09:29, time: 0.465, data_time: 0.013, memory: 5854, loss: 0.9786
2022-07-13 14:14:04,957 - mmcls - INFO - Epoch [36][500/575] lr: 7.804e-05, eta: 3:09:08, time: 0.457, data_time: 0.013, memory: 5854, loss: 0.9809
2022-07-13 14:14:27,967 - mmcls - INFO - Epoch [36][550/575] lr: 7.787e-05, eta: 3:08:46, time: 0.460, data_time: 0.013, memory: 5854, loss: 0.9890
2022-07-13 14:14:39,503 - mmcls - INFO - Saving checkpoint at 36 epochs
2022-07-13 14:16:09,799 - mmcls - INFO - Epoch(val) [36][282] mAP: 0.8249, CP: 0.6127, CR: 0.8468, CF1: 0.7110, OP: 0.5917, OR: 0.8829, OF1: 0.7086, CP_top3: 0.7528, CR_top3: 0.6777, OP_top3: 0.7782, CF1_top3: 0.7133, OR_top3: 0.7021, OF1_top3: 0.7382
2022-07-13 14:16:35,205 - mmcls - INFO - Epoch [37][50/575] lr: 7.760e-05, eta: 3:08:02, time: 0.500, data_time: 0.050, memory: 5854, loss: 0.9501
2022-07-13 14:16:58,184 - mmcls - INFO - Epoch [37][100/575] lr: 7.742e-05, eta: 3:07:41, time: 0.460, data_time: 0.014, memory: 5854, loss: 0.9626
2022-07-13 14:17:21,194 - mmcls - INFO - Epoch [37][150/575] lr: 7.724e-05, eta: 3:07:19, time: 0.459, data_time: 0.013, memory: 5854, loss: 0.9636
2022-07-13 14:17:44,558 - mmcls - INFO - Epoch [37][200/575] lr: 7.706e-05, eta: 3:06:58, time: 0.468, data_time: 0.015, memory: 5854, loss: 0.9511
2022-07-13 14:18:07,689 - mmcls - INFO - Epoch [37][250/575] lr: 7.689e-05, eta: 3:06:37, time: 0.463, data_time: 0.013, memory: 5854, loss: 0.9618
2022-07-13 14:18:30,859 - mmcls - INFO - Epoch [37][300/575] lr: 7.670e-05, eta: 3:06:15, time: 0.463, data_time: 0.013, memory: 5854, loss: 0.9790
2022-07-13 14:18:53,911 - mmcls - INFO - Epoch [37][350/575] lr: 7.652e-05, eta: 3:05:54, time: 0.461, data_time: 0.013, memory: 5854, loss: 0.9748
2022-07-13 14:19:16,927 - mmcls - INFO - Epoch [37][400/575] lr: 7.634e-05, eta: 3:05:32, time: 0.461, data_time: 0.013, memory: 5854, loss: 0.9676
2022-07-13 14:19:40,278 - mmcls - INFO - Epoch [37][450/575] lr: 7.616e-05, eta: 3:05:11, time: 0.467, data_time: 0.013, memory: 5854, loss: 0.9555
2022-07-13 14:20:03,612 - mmcls - INFO - Epoch [37][500/575] lr: 7.598e-05, eta: 3:04:50, time: 0.467, data_time: 0.015, memory: 5854, loss: 0.9645
2022-07-13 14:20:27,021 - mmcls - INFO - Epoch [37][550/575] lr: 7.580e-05, eta: 3:04:29, time: 0.468, data_time: 0.013, memory: 5854, loss: 0.9948
2022-07-13 14:20:38,728 - mmcls - INFO - Saving checkpoint at 37 epochs
2022-07-13 14:22:07,801 - mmcls - INFO - Epoch(val) [37][282] mAP: 0.8242, CP: 0.6318, CR: 0.8329, CF1: 0.7185, OP: 0.6395, OR: 0.8674, OF1: 0.7362, CP_top3: 0.7585, CR_top3: 0.6770, OP_top3: 0.7952, CF1_top3: 0.7155, OR_top3: 0.7007, OF1_top3: 0.7449
2022-07-13 14:22:33,458 - mmcls - INFO - Epoch [38][50/575] lr: 7.552e-05, eta: 3:03:45, time: 0.505, data_time: 0.050, memory: 5854, loss: 0.9266
2022-07-13 14:22:56,137 - mmcls - INFO - Epoch [38][100/575] lr: 7.534e-05, eta: 3:03:23, time: 0.454, data_time: 0.014, memory: 5854, loss: 0.9459
2022-07-13 14:23:19,300 - mmcls - INFO - Epoch [38][150/575] lr: 7.515e-05, eta: 3:03:02, time: 0.463, data_time: 0.014, memory: 5854, loss: 0.9080
2022-07-13 14:23:42,302 - mmcls - INFO - Epoch [38][200/575] lr: 7.497e-05, eta: 3:02:40, time: 0.460, data_time: 0.013, memory: 5854, loss: 0.9563
2022-07-13 14:24:05,309 - mmcls - INFO - Epoch [38][250/575] lr: 7.478e-05, eta: 3:02:19, time: 0.460, data_time: 0.013, memory: 5854, loss: 0.9525
2022-07-13 14:24:28,603 - mmcls - INFO - Epoch [38][300/575] lr: 7.460e-05, eta: 3:01:58, time: 0.466, data_time: 0.013, memory: 5854, loss: 0.9314
2022-07-13 14:24:51,797 - mmcls - INFO - Epoch [38][350/575] lr: 7.441e-05, eta: 3:01:36, time: 0.464, data_time: 0.013, memory: 5854, loss: 0.9697
2022-07-13 14:25:14,865 - mmcls - INFO - Epoch [38][400/575] lr: 7.423e-05, eta: 3:01:15, time: 0.462, data_time: 0.013, memory: 5854, loss: 0.9578
2022-07-13 14:25:38,084 - mmcls - INFO - Epoch [38][450/575] lr: 7.404e-05, eta: 3:00:53, time: 0.464, data_time: 0.013, memory: 5854, loss: 0.9684
2022-07-13 14:26:01,173 - mmcls - INFO - Epoch [38][500/575] lr: 7.385e-05, eta: 3:00:32, time: 0.461, data_time: 0.013, memory: 5854, loss: 0.9502
2022-07-13 14:26:24,357 - mmcls - INFO - Epoch [38][550/575] lr: 7.366e-05, eta: 3:00:10, time: 0.464, data_time: 0.013, memory: 5854, loss: 0.9463
2022-07-13 14:26:35,940 - mmcls - INFO - Saving checkpoint at 38 epochs
2022-07-13 14:28:05,818 - mmcls - INFO - Epoch(val) [38][282] mAP: 0.8247, CP: 0.6320, CR: 0.8340, CF1: 0.7191, OP: 0.6416, OR: 0.8661, OF1: 0.7371, CP_top3: 0.7583, CR_top3: 0.6782, OP_top3: 0.7903, CF1_top3: 0.7160, OR_top3: 0.7017, OF1_top3: 0.7434
2022-07-13 14:28:30,926 - mmcls - INFO - Epoch [39][50/575] lr: 7.338e-05, eta: 2:59:27, time: 0.494, data_time: 0.049, memory: 5854, loss: 0.9484
2022-07-13 14:28:53,880 - mmcls - INFO - Epoch [39][100/575] lr: 7.319e-05, eta: 2:59:05, time: 0.459, data_time: 0.013, memory: 5854, loss: 0.9081
2022-07-13 14:29:17,017 - mmcls - INFO - Epoch [39][150/575] lr: 7.300e-05, eta: 2:58:44, time: 0.462, data_time: 0.013, memory: 5854, loss: 0.9242
2022-07-13 14:29:40,210 - mmcls - INFO - Epoch [39][200/575] lr: 7.281e-05, eta: 2:58:22, time: 0.464, data_time: 0.013, memory: 5854, loss: 0.9295
2022-07-13 14:30:03,651 - mmcls - INFO - Epoch [39][250/575] lr: 7.262e-05, eta: 2:58:01, time: 0.469, data_time: 0.014, memory: 5854, loss: 0.9329
2022-07-13 14:30:26,970 - mmcls - INFO - Epoch [39][300/575] lr: 7.243e-05, eta: 2:57:40, time: 0.466, data_time: 0.013, memory: 5854, loss: 0.9391
2022-07-13 14:30:50,025 - mmcls - INFO - Epoch [39][350/575] lr: 7.224e-05, eta: 2:57:18, time: 0.461, data_time: 0.013, memory: 5854, loss: 0.9562
2022-07-13 14:31:13,133 - mmcls - INFO - Epoch [39][400/575] lr: 7.205e-05, eta: 2:56:57, time: 0.463, data_time: 0.014, memory: 5854, loss: 0.9285
2022-07-13 14:31:36,669 - mmcls - INFO - Epoch [39][450/575] lr: 7.186e-05, eta: 2:56:36, time: 0.470, data_time: 0.013, memory: 5854, loss: 0.9253
2022-07-13 14:31:59,882 - mmcls - INFO - Epoch [39][500/575] lr: 7.167e-05, eta: 2:56:14, time: 0.465, data_time: 0.013, memory: 5854, loss: 0.9425

sorrowyn · 2022-07-13T09:15:49Z

mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)???
1: Imagenet Normalize
mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]
2: cutout

The server where the previous training logs are located is currently inaccessible.
I will now retrain ResNet101 at MS-COCO.

sorrowyn · 2022-07-13T12:34:50Z

@THUeeY
Are you interested in adding your email address to your homepage?
Emails can be sent between us.

[07/13 17:40:44.800]: Epoch: [0/80][ 0/646] T 8.995 (8.995) DT 2.315 (2.315) S1 3.6 (3.6) SA 14.2 (14.2) LR 4.000e-06 Loss 56.353 (56.353) Mem 15486
[07/13 17:43:29.350]: Epoch: [0/80][400/646] T 0.409 (0.433) DT 0.000 (0.006) S1 78.2 (73.9) SA 312.9 (295.8) LR 4.356e-06 Loss 30.020 (36.436) Mem 15555
[07/13 17:45:12.907]: Test: [ 0/317] Time 2.176 (2.176) Loss 23.525 (23.525) Mem 15555
[07/13 17:46:02.251]: => synchronize...
Calculating mAP:
[07/13 17:46:31.144]: mAP: 57.76106146008476
[07/13 17:46:33.283]: Test: [ 0/317] Time 2.120 (2.120) Loss 48.523 (48.523) Mem 15555
[07/13 17:47:22.371]: => synchronize...
Calculating mAP:
[07/13 17:47:50.512]: mAP: 6.355649182531264
[07/13 17:47:50.529]: => Test Epoch: [ 0/80] ETA 9:32:31 TT 0:07:14 (0:07:14) Loss 25.766 mAP 57.76106 Loss_ema 49.523 mAP_ema 6.35565
[07/13 17:47:50.534]: 0 | Set best mAP 57.76106146008476 in ep 0
[07/13 17:47:50.534]: | best regular mAP 57.76106146008476 in ep 0
[07/13 17:47:51.665]: lr:4.922484457507576e-06
[07/13 17:47:54.952]: Epoch: [1/80][ 0/646] T 3.284 (3.284) DT 2.864 (2.864) S1 9.7 (9.7) SA 39.0 (39.0) LR 4.925e-06 Loss 24.422 (24.422) Mem 15555
[07/13 17:50:41.526]: Epoch: [1/80][400/646] T 0.407 (0.424) DT 0.001 (0.007) S1 78.7 (75.5) SA 314.8 (302.2) LR 6.411e-06 Loss 21.974 (25.520) Mem 15555
[07/13 17:52:27.195]: Test: [ 0/317] Time 2.735 (2.735) Loss 19.068 (19.068) Mem 15555
[07/13 17:53:16.791]: => synchronize...
Calculating mAP:
[07/13 17:53:46.070]: mAP: 67.38060185963323
[07/13 17:53:48.701]: Test: [ 0/317] Time 2.612 (2.612) Loss 43.933 (43.933) Mem 15555
[07/13 17:54:37.400]: => synchronize...
Calculating mAP:
[07/13 17:55:04.668]: mAP: 11.764250443844736
[07/13 17:55:04.684]: => Test Epoch: [ 1/80] ETA 9:24:50 TT 0:07:14 (0:14:28) Loss 21.465 mAP 67.38060 Loss_ema 44.846 mAP_ema 11.76425
[07/13 17:55:04.690]: 1 | Set best mAP 67.38060185963323 in ep 1
[07/13 17:55:04.691]: | best regular mAP 67.38060185963323 in ep 1
[07/13 17:55:09.797]: lr:7.654480431099314e-06
[07/13 17:55:12.032]: Epoch: [2/80][ 0/646] T 2.234 (2.234) DT 1.808 (1.808) S1 14.3 (14.3) SA 57.3 (57.3) LR 7.660e-06 Loss 23.273 (23.273) Mem 15555
[07/13 17:57:58.975]: Epoch: [2/80][400/646] T 0.422 (0.422) DT 0.000 (0.005) S1 75.8 (75.9) SA 303.3 (303.4) LR 1.022e-05 Loss 21.728 (22.996) Mem 15555
[07/13 17:59:44.431]: Test: [ 0/317] Time 2.682 (2.682) Loss 18.845 (18.845) Mem 15555
[07/13 18:00:33.870]: => synchronize...
Calculating mAP:
[07/13 18:01:01.934]: mAP: 71.81528249364315
[07/13 18:01:04.556]: Test: [ 0/317] Time 2.603 (2.603) Loss 38.716 (38.716) Mem 15555
[07/13 18:01:57.237]: => synchronize...
Calculating mAP:
[07/13 18:02:24.090]: mAP: 25.29910596712046
[07/13 18:02:24.107]: => Test Epoch: [ 2/80] ETA 9:19:42 TT 0:07:19 (0:21:48) Loss 21.121 mAP 71.81528 Loss_ema 39.543 mAP_ema 25.29911
[07/13 18:02:24.113]: 2 | Set best mAP 71.81528249364315 in ep 2
[07/13 18:02:24.113]: | best regular mAP 71.81528249364315 in ep 2
[07/13 18:02:28.928]: lr:1.209097859479141e-05
[07/13 18:02:31.259]: Epoch: [3/80][ 0/646] T 2.329 (2.329) DT 1.920 (1.920) S1 13.7 (13.7) SA 55.0 (55.0) LR 1.210e-05 Loss 22.152 (22.152) Mem 15555
[07/13 18:05:18.246]: Epoch: [3/80][400/646] T 0.418 (0.422) DT 0.000 (0.005) S1 76.5 (75.8) SA 306.1 (303.2) LR 1.563e-05 Loss 20.903 (21.880) Mem 15555
[07/13 18:07:03.740]: Test: [ 0/317] Time 1.970 (1.970) Loss 18.886 (18.886) Mem 15555
[07/13 18:07:53.266]: => synchronize...
Calculating mAP:
[07/13 18:08:21.347]: mAP: 74.44592464263218
[07/13 18:08:24.166]: Test: [ 0/317] Time 2.807 (2.807) Loss 33.476 (33.476) Mem 15555
[07/13 18:09:13.026]: => synchronize...
Calculating mAP:
[07/13 18:09:40.424]: mAP: 43.09000368562148
[07/13 18:09:40.434]: => Test Epoch: [ 3/80] ETA 9:12:29 TT 0:07:16 (0:29:04) Loss 19.663 mAP 74.44592 Loss_ema 34.233 mAP_ema 43.09000
[07/13 18:09:40.445]: 3 | Set best mAP 74.44592464263218 in ep 3
[07/13 18:09:40.445]: | best regular mAP 74.44592464263218 in ep 3
[07/13 18:09:45.556]: lr:1.806145392351026e-05
[07/13 18:09:47.830]: Epoch: [4/80][ 0/646] T 2.272 (2.272) DT 1.871 (1.871) S1 14.1 (14.1) SA 56.3 (56.3) LR 1.807e-05 Loss 20.520 (20.520) Mem 15555
[07/13 18:12:39.387]: Epoch: [4/80][400/646] T 0.419 (0.433) DT 0.000 (0.005) S1 76.4 (73.8) SA 305.5 (295.3) LR 2.244e-05 Loss 22.873 (20.473) Mem 15555
[07/13 18:14:25.512]: Test: [ 0/317] Time 2.495 (2.495) Loss 20.949 (20.949) Mem 15555
[07/13 18:15:15.406]: => synchronize...
Calculating mAP:
[07/13 18:15:45.508]: mAP: 75.96467921839891
[07/13 18:15:48.780]: Test: [ 0/317] Time 3.252 (3.252) Loss 28.672 (28.672) Mem 15555
[07/13 18:16:37.850]: => synchronize...
Calculating mAP:
[07/13 18:17:02.484]: mAP: 57.540420198778904
[07/13 18:17:02.501]: => Test Epoch: [ 4/80] ETA 9:06:42 TT 0:07:22 (0:36:26) Loss 20.152 mAP 75.96468 Loss_ema 29.379 mAP_ema 57.54042
[07/13 18:17:02.508]: 4 | Set best mAP 75.96467921839891 in ep 4
[07/13 18:17:02.509]: | best regular mAP 75.96467921839891 in ep 4
[07/13 18:17:08.136]: lr:2.5336420138311012e-05
[07/13 18:17:10.697]: Epoch: [5/80][ 0/646] T 2.559 (2.559) DT 2.069 (2.069) S1 12.5 (12.5) SA 50.0 (50.0) LR 2.535e-05 Loss 25.718 (25.718) Mem 15555
[07/13 18:19:58.895]: Epoch: [5/80][400/646] T 0.415 (0.426) DT 0.000 (0.006) S1 77.0 (75.1) SA 308.1 (300.6) LR 3.039e-05 Loss 24.674 (19.921) Mem 15555
[07/13 18:21:47.393]: Test: [ 0/317] Time 4.312 (4.312) Loss 17.285 (17.285) Mem 15555
[07/13 18:22:36.756]: => synchronize...
Calculating mAP:
[07/13 18:23:08.352]: mAP: 77.39150643904024
[07/13 18:23:11.275]: Test: [ 0/317] Time 2.904 (2.904) Loss 24.534 (24.534) Mem 15555
[07/13 18:23:59.730]: => synchronize...
Calculating mAP:
[07/13 18:24:31.149]: mAP: 66.20453686980076
[07/13 18:24:31.165]: => Test Epoch: [ 5/80] ETA 9:01:44 TT 0:07:28 (0:43:55) Loss 18.324 mAP 77.39151 Loss_ema 25.229 mAP_ema 66.20454
[07/13 18:24:31.172]: 5 | Set best mAP 77.39150643904024 in ep 5
[07/13 18:24:31.172]: | best regular mAP 77.39150643904024 in ep 5
[07/13 18:24:35.946]: lr:3.363625043660844e-05
[07/13 18:24:38.383]: Epoch: [6/80][ 0/646] T 2.436 (2.436) DT 2.014 (2.014) S1 13.1 (13.1) SA 52.5 (52.5) LR 3.365e-05 Loss 15.697 (15.697) Mem 15555
[07/13 18:27:26.116]: Epoch: [6/80][400/646] T 0.418 (0.424) DT 0.000 (0.005) S1 76.5 (75.4) SA 306.1 (301.6) LR 3.916e-05 Loss 16.984 (19.457) Mem 15555
[07/13 18:29:13.797]: Test: [ 0/317] Time 4.132 (4.132) Loss 18.453 (18.453) Mem 15555
[07/13 18:30:02.662]: => synchronize...
Calculating mAP:
[07/13 18:30:27.980]: mAP: 77.84727948041434
[07/13 18:30:30.673]: Test: [ 0/317] Time 2.675 (2.675) Loss 21.238 (21.238) Mem 15555
[07/13 18:31:19.387]: => synchronize...
Calculating mAP:
[07/13 18:31:49.033]: mAP: 71.41977511123585
[07/13 18:31:49.051]: => Test Epoch: [ 6/80] ETA 8:54:10 TT 0:07:17 (0:51:13) Loss 17.767 mAP 77.84728 Loss_ema 21.949 mAP_ema 71.41978
[07/13 18:31:49.056]: 6 | Set best mAP 77.84727948041434 in ep 6
[07/13 18:31:49.056]: | best regular mAP 77.84727948041434 in ep 6
[07/13 18:31:53.700]: lr:4.264192546631377e-05
[07/13 18:31:56.285]: Epoch: [7/80][ 0/646] T 2.583 (2.583) DT 2.175 (2.175) S1 12.4 (12.4) SA 49.5 (49.5) LR 4.266e-05 Loss 17.716 (17.716) Mem 15555
[07/13 18:34:50.149]: Epoch: [7/80][400/646] T 0.418 (0.440) DT 0.000 (0.006) S1 76.6 (72.7) SA 306.5 (290.9) LR 4.844e-05 Loss 19.092 (19.076) Mem 15555
[07/13 18:36:36.466]: Test: [ 0/317] Time 2.964 (2.964) Loss 18.004 (18.004) Mem 15555
[07/13 18:37:25.468]: => synchronize...
Calculating mAP:
[07/13 18:37:55.322]: mAP: 78.66474733294592
[07/13 18:37:58.447]: Test: [ 0/317] Time 3.105 (3.105) Loss 18.829 (18.829) Mem 15555
[07/13 18:38:46.442]: => synchronize...
Calculating mAP:
[07/13 18:39:16.309]: mAP: 74.70054225988545
[07/13 18:39:16.325]: => Test Epoch: [ 7/80] ETA 8:48:05 TT 0:07:27 (0:58:40) Loss 17.653 mAP 78.66475 Loss_ema 19.563 mAP_ema 74.70054
[07/13 18:39:16.330]: 7 | Set best mAP 78.66474733294592 in ep 7
[07/13 18:39:16.330]: | best regular mAP 78.66474733294592 in ep 7
[07/13 18:39:21.882]: lr:5.2007295425582576e-05
[07/13 18:39:24.473]: Epoch: [8/80][ 0/646] T 2.589 (2.589) DT 2.180 (2.180) S1 12.4 (12.4) SA 49.4 (49.4) LR 5.202e-05 Loss 22.778 (22.778) Mem 15555
[07/13 18:42:12.058]: Epoch: [8/80][400/646] T 0.420 (0.424) DT 0.000 (0.006) S1 76.3 (75.4) SA 305.1 (301.6) LR 5.784e-05 Loss 17.042 (18.716) Mem 15555
[07/13 18:43:59.876]: Test: [ 0/317] Time 3.996 (3.996) Loss 17.292 (17.292) Mem 15555
[07/13 18:44:49.069]: => synchronize...
Calculating mAP:
[07/13 18:45:15.002]: mAP: 78.3611736099623
[07/13 18:45:18.604]: Test: [ 0/317] Time 3.579 (3.579) Loss 17.123 (17.123) Mem 15555
[07/13 18:46:07.554]: => synchronize...
Calculating mAP:
[07/13 18:46:39.999]: mAP: 76.88435090507478
[07/13 18:46:40.016]: => Test Epoch: [ 8/80] ETA 8:41:14 TT 0:07:23 (1:06:04) Loss 18.100 mAP 78.36117 Loss_ema 17.896 mAP_ema 76.88435
[07/13 18:46:45.295]: 8 | Set best mAP 78.66474733294592 in ep 7
[07/13 18:46:45.296]: | best regular mAP 78.66474733294592 in ep 7
[07/13 18:46:45.359]: lr:6.13723849716551e-05
[07/13 18:46:47.905]: Epoch: [9/80][ 0/646] T 2.545 (2.545) DT 2.126 (2.126) S1 12.6 (12.6) SA 50.3 (50.3) LR 6.139e-05 Loss 17.070 (17.070) Mem 15555
[07/13 18:49:35.482]: Epoch: [9/80][400/646] T 0.440 (0.424) DT 0.000 (0.006) S1 72.6 (75.4) SA 290.6 (301.7) LR 6.703e-05 Loss 16.506 (18.453) Mem 15555
[07/13 18:51:22.148]: Test: [ 0/317] Time 3.216 (3.216) Loss 16.859 (16.859) Mem 15555
[07/13 18:52:11.733]: => synchronize...
Calculating mAP:
[07/13 18:52:43.294]: mAP: 78.82158135528864
[07/13 18:52:46.210]: Test: [ 0/317] Time 2.904 (2.904) Loss 16.013 (16.013) Mem 15555
[07/13 18:53:35.009]: => synchronize...
Calculating mAP:
[07/13 18:53:59.915]: mAP: 78.38764757701487
[07/13 18:53:59.931]: => Test Epoch: [ 9/80] ETA 8:33:49 TT 0:07:19 (1:13:24) Loss 16.954 mAP 78.82158 Loss_ema 16.838 mAP_ema 78.38765
[07/13 18:53:59.937]: 9 | Set best mAP 78.82158135528864 in ep 9
[07/13 18:53:59.937]: | best regular mAP 78.82158135528864 in ep 9
[07/13 18:54:05.788]: lr:7.03772295399722e-05
[07/13 18:54:08.331]: Epoch: [10/80][ 0/646] T 2.541 (2.541) DT 2.140 (2.140) S1 12.6 (12.6) SA 50.4 (50.4) LR 7.039e-05 Loss 18.464 (18.464) Mem 15555
[07/13 18:56:55.551]: Epoch: [10/80][400/646] T 0.427 (0.423) DT 0.000 (0.006) S1 74.9 (75.6) SA 299.5 (302.4) LR 7.563e-05 Loss 18.309 (18.121) Mem 15555
[07/13 18:58:42.035]: Test: [ 0/317] Time 3.008 (3.008) Loss 18.814 (18.814) Mem 15555
[07/13 18:59:31.066]: => synchronize...
Calculating mAP:
[07/13 19:00:00.259]: mAP: 79.17261815558834
[07/13 19:00:02.737]: Test: [ 0/317] Time 2.467 (2.467) Loss 15.378 (15.378) Mem 15555
[07/13 19:00:51.433]: => synchronize...
Calculating mAP:
[07/13 19:01:16.873]: mAP: 79.46827188402155
[07/13 19:01:16.889]: => Test Epoch: [10/80] ETA 8:26:07 TT 0:07:16 (1:20:41) Loss 17.686 mAP 79.17262 Loss_ema 16.167 mAP_ema 79.46827
[07/13 19:01:16.895]: 10 | Set best mAP 79.46827188402155 in ep 10
[07/13 19:01:16.895]: | best regular mAP 79.17261815558834 in ep 10
[07/13 19:01:23.237]: lr:7.86757112490113e-05
[07/13 19:01:26.193]: Epoch: [11/80][ 0/646] T 2.951 (2.951) DT 2.543 (2.543) S1 10.8 (10.8) SA 43.4 (43.4) LR 7.869e-05 Loss 15.642 (15.642) Mem 15555
[07/13 19:04:13.806]: Epoch: [11/80][400/646] T 0.414 (0.425) DT 0.000 (0.007) S1 77.3 (75.2) SA 309.2 (300.9) LR 8.333e-05 Loss 11.763 (17.960) Mem 15555
[07/13 19:06:00.237]: Test: [ 0/317] Time 2.995 (2.995) Loss 16.255 (16.255) Mem 15555
[07/13 19:06:49.495]: => synchronize...
Calculating mAP:
[07/13 19:07:19.402]: mAP: 79.38332583228694
[07/13 19:07:22.882]: Test: [ 0/317] Time 3.462 (3.462) Loss 15.121 (15.121) Mem 15555
[07/13 19:08:11.581]: => synchronize...
Calculating mAP:
[07/13 19:08:36.494]: mAP: 80.2632224073671
[07/13 19:08:36.504]: => Test Epoch: [11/80] ETA 8:18:44 TT 0:07:19 (1:28:00) Loss 16.288 mAP 79.38333 Loss_ema 15.771 mAP_ema 80.26322
[07/13 19:08:36.511]: 11 | Set best mAP 80.2632224073671 in ep 11
[07/13 19:08:36.511]: | best regular mAP 79.38332583228694 in ep 11
[07/13 19:08:41.522]: lr:8.594886258220984e-05
[07/13 19:08:44.174]: Epoch: [12/80][ 0/646] T 2.649 (2.649) DT 2.207 (2.207) S1 12.1 (12.1) SA 48.3 (48.3) LR 8.596e-05 Loss 15.298 (15.298) Mem 15555
[07/13 19:11:31.473]: Epoch: [12/80][400/646] T 0.416 (0.424) DT 0.000 (0.006) S1 76.9 (75.5) SA 307.7 (302.0) LR 8.982e-05 Loss 17.187 (17.794) Mem 15555
[07/13 19:13:16.843]: Test: [ 0/317] Time 2.260 (2.260) Loss 15.313 (15.313) Mem 15555
[07/13 19:14:05.516]: => synchronize...
Calculating mAP:
[07/13 19:14:34.454]: mAP: 79.00992473461142
[07/13 19:14:36.466]: Test: [ 0/317] Time 1.992 (1.992) Loss 14.937 (14.937) Mem 15555
[07/13 19:15:25.000]: => synchronize...
Calculating mAP:
[07/13 19:15:51.343]: mAP: 80.88554306056821
[07/13 19:15:51.360]: => Test Epoch: [12/80] ETA 8:10:57 TT 0:07:14 (1:35:15) Loss 17.288 mAP 79.00992 Loss_ema 15.542 mAP_ema 80.88554
[07/13 19:15:51.366]: 12 | Set best mAP 80.88554306056821 in ep 12
[07/13 19:15:51.366]: | best regular mAP 79.38332583228694 in ep 11
[07/13 19:15:57.005]: lr:9.191712649531885e-05
[07/13 19:15:59.659]: Epoch: [13/80][ 0/646] T 2.652 (2.652) DT 2.224 (2.224) S1 12.1 (12.1) SA 48.3 (48.3) LR 9.193e-05 Loss 20.183 (20.183) Mem 15555
[07/13 19:18:47.711]: Epoch: [13/80][400/646] T 0.419 (0.426) DT 0.000 (0.006) S1 76.3 (75.2) SA 305.2 (300.7) LR 9.486e-05 Loss 20.262 (17.277) Mem 15555
[07/13 19:20:34.112]: Test: [ 0/317] Time 3.081 (3.081) Loss 17.153 (17.153) Mem 15555
[07/13 19:21:23.782]: => synchronize...
Calculating mAP:
[07/13 19:21:53.264]: mAP: 79.36673126128059
[07/13 19:21:56.567]: Test: [ 0/317] Time 3.283 (3.283) Loss 14.816 (14.816) Mem 15555
[07/13 19:22:44.871]: => synchronize...
Calculating mAP:
[07/13 19:23:14.536]: mAP: 81.32427269052418
[07/13 19:23:14.554]: => Test Epoch: [13/80] ETA 8:03:54 TT 0:07:23 (1:42:38) Loss 17.814 mAP 79.36673 Loss_ema 15.424 mAP_ema 81.32427
[07/13 19:23:14.561]: 13 | Set best mAP 81.32427269052418 in ep 13
[07/13 19:23:14.561]: | best regular mAP 79.38332583228694 in ep 11
[07/13 19:23:18.985]: lr:9.635110170924889e-05
[07/13 19:23:21.472]: Epoch: [14/80][ 0/646] T 2.484 (2.484) DT 2.059 (2.059) S1 12.9 (12.9) SA 51.5 (51.5) LR 9.636e-05 Loss 20.970 (20.970) Mem 15555
[07/13 19:26:08.697]: Epoch: [14/80][400/646] T 0.419 (0.423) DT 0.000 (0.005) S1 76.4 (75.6) SA 305.5 (302.5) LR 9.825e-05 Loss 18.498 (17.083) Mem 15555
[07/13 19:27:54.841]: Test: [ 0/317] Time 2.795 (2.795) Loss 14.529 (14.529) Mem 15555
[07/13 19:28:43.841]: => synchronize...
Calculating mAP:
[07/13 19:29:14.711]: mAP: 79.2095145556618
[07/13 19:29:17.727]: Test: [ 0/317] Time 2.998 (2.998) Loss 14.798 (14.798) Mem 15555
[07/13 19:30:06.772]: => synchronize...
Calculating mAP:
[07/13 19:30:38.045]: mAP: 81.70027864939865
[07/13 19:30:38.055]: => Test Epoch: [14/80] ETA 7:56:50 TT 0:07:23 (1:50:02) Loss 17.990 mAP 79.20951 Loss_ema 15.356 mAP_ema 81.70028
[07/13 19:30:38.061]: 14 | Set best mAP 81.70027864939865 in ep 14
[07/13 19:30:38.061]: | best regular mAP 79.38332583228694 in ep 11
[07/13 19:30:42.806]: lr:9.908036017317397e-05
[07/13 19:30:45.282]: Epoch: [15/80][ 0/646] T 2.473 (2.473) DT 2.051 (2.051) S1 12.9 (12.9) SA 51.8 (51.8) LR 9.908e-05 Loss 15.033 (15.033) Mem 15555
[07/13 19:33:33.223]: Epoch: [15/80][400/646] T 0.417 (0.425) DT 0.000 (0.005) S1 76.8 (75.3) SA 307.3 (301.2) LR 9.987e-05 Loss 14.407 (16.650) Mem 15555
[07/13 19:35:24.910]: Test: [ 0/317] Time 3.501 (3.501) Loss 15.892 (15.892) Mem 15555
[07/13 19:36:14.232]: => synchronize...
Calculating mAP:
[07/13 19:36:43.650]: mAP: 79.13671745869674
[07/13 19:36:46.483]: Test: [ 0/317] Time 2.820 (2.820) Loss 14.792 (14.792) Mem 15555
[07/13 19:37:34.807]: => synchronize...
Calculating mAP:
[07/13 19:38:01.116]: mAP: 81.99547177692436
[07/13 19:38:01.132]: => Test Epoch: [15/80] ETA 7:49:41 TT 0:07:23 (1:57:25) Loss 16.505 mAP 79.13672 Loss_ema 15.319 mAP_ema 81.99547
[07/13 19:38:01.138]: 15 | Set best mAP 81.99547177692436 in ep 15
[07/13 19:38:01.138]: | best regular mAP 79.38332583228694 in ep 11
[07/13 19:38:07.315]: lr:9.999999985565125e-05
[07/13 19:38:09.845]: Epoch: [16/80][ 0/646] T 2.528 (2.528) DT 2.112 (2.112) S1 12.7 (12.7) SA 50.6 (50.6) LR 1.000e-04 Loss 16.714 (16.714) Mem 15555
[07/13 19:41:00.384]: Epoch: [16/80][400/646] T 0.416 (0.432) DT 0.000 (0.006) S1 76.8 (74.1) SA 307.4 (296.6) LR 9.998e-05 Loss 16.095 (16.306) Mem 15555
[07/13 19:42:47.648]: Test: [ 0/317] Time 4.071 (4.071) Loss 16.833 (16.833) Mem 15555
[07/13 19:43:36.252]: => synchronize...
Calculating mAP:
[07/13 19:44:05.926]: mAP: 79.34556059668249
[07/13 19:44:08.367]: Test: [ 0/317] Time 2.423 (2.423) Loss 14.804 (14.804) Mem 15555
[07/13 19:44:56.806]: => synchronize...
Calculating mAP:
[07/13 19:45:22.751]: mAP: 82.25340050307071
[07/13 19:45:22.767]: => Test Epoch: [16/80] ETA 7:42:26 TT 0:07:21 (2:04:47) Loss 17.538 mAP 79.34556 Loss_ema 15.296 mAP_ema 82.25340
[07/13 19:45:22.771]: 16 | Set best mAP 82.25340050307071 in ep 16
[07/13 19:45:22.771]: | best regular mAP 79.38332583228694 in ep 11
[07/13 19:45:27.153]: lr:9.993958648329325e-05
[07/13 19:45:29.640]: Epoch: [17/80][ 0/646] T 2.485 (2.485) DT 2.060 (2.060) S1 12.9 (12.9) SA 51.5 (51.5) LR 9.994e-05 Loss 14.453 (14.453) Mem 15555
[07/13 19:48:17.015]: Epoch: [17/80][400/646] T 0.442 (0.424) DT 0.000 (0.005) S1 72.4 (75.5) SA 289.7 (302.2) LR 9.984e-05 Loss 16.947 (16.067) Mem 15555
[07/13 19:50:04.684]: Test: [ 0/317] Time 4.635 (4.635) Loss 16.551 (16.551) Mem 15555
[07/13 19:50:54.377]: => synchronize...
Calculating mAP:
[07/13 19:51:23.564]: mAP: 79.77004536829199
[07/13 19:51:26.728]: Test: [ 0/317] Time 3.144 (3.144) Loss 14.869 (14.869) Mem 15555
[07/13 19:52:15.337]: => synchronize...
Calculating mAP:
[07/13 19:52:40.225]: mAP: 82.4569427474967
[07/13 19:52:40.241]: => Test Epoch: [17/80] ETA 7:34:55 TT 0:07:17 (2:12:04) Loss 17.158 mAP 79.77005 Loss_ema 15.318 mAP_ema 82.45694
[07/13 19:52:40.246]: 17 | Set best mAP 82.4569427474967 in ep 17
[07/13 19:52:40.246]: | best regular mAP 79.77004536829199 in ep 17
[07/13 19:52:45.208]: lr:9.975886475472334e-05
[07/13 19:52:47.674]: Epoch: [18/80][ 0/646] T 2.464 (2.464) DT 2.053 (2.053) S1 13.0 (13.0) SA 51.9 (51.9) LR 9.976e-05 Loss 13.655 (13.655) Mem 15555
[07/13 19:55:34.172]: Epoch: [18/80][400/646] T 0.413 (0.421) DT 0.000 (0.005) S1 77.5 (75.9) SA 310.0 (303.8) LR 9.959e-05 Loss 12.409 (15.676) Mem 15555
[07/13 19:57:21.435]: Test: [ 0/317] Time 4.156 (4.156) Loss 16.651 (16.651) Mem 15555
[07/13 19:58:10.431]: => synchronize...
Calculating mAP:
[07/13 19:58:37.781]: mAP: 79.80203650747629
[07/13 19:58:40.045]: Test: [ 0/317] Time 2.245 (2.245) Loss 15.016 (15.016) Mem 15555
[07/13 19:59:29.406]: => synchronize...
Calculating mAP:
[07/13 19:59:57.323]: mAP: 82.63519123827875
[07/13 19:59:57.340]: => Test Epoch: [18/80] ETA 7:27:25 TT 0:07:17 (2:19:21) Loss 16.235 mAP 79.80204 Loss_ema 15.321 mAP_ema 82.63519
[07/13 19:59:57.345]: 18 | Set best mAP 82.63519123827875 in ep 18
[07/13 19:59:57.345]: | best regular mAP 79.80203650747629 in ep 18
[07/13 20:00:02.622]: lr:9.945827004441502e-05
[07/13 20:00:05.091]: Epoch: [19/80][ 0/646] T 2.467 (2.467) DT 2.056 (2.056) S1 13.0 (13.0) SA 51.9 (51.9) LR 9.946e-05 Loss 11.958 (11.958) Mem 15555
[07/13 20:02:52.304]: Epoch: [19/80][400/646] T 0.428 (0.423) DT 0.000 (0.005) S1 74.8 (75.6) SA 299.1 (302.5) LR 9.921e-05 Loss 16.288 (15.384) Mem 15555
[07/13 20:04:41.204]: Test: [ 0/317] Time 2.748 (2.748) Loss 18.841 (18.841) Mem 15555
[07/13 20:05:32.187]: => synchronize...
Calculating mAP:
[07/13 20:06:01.693]: mAP: 79.74479411848968
[07/13 20:06:04.368]: Test: [ 0/317] Time 2.655 (2.655) Loss 15.135 (15.135) Mem 15555
[07/13 20:06:53.400]: => synchronize...
Calculating mAP:
[07/13 20:07:18.387]: mAP: 82.77320983034197
[07/13 20:07:18.405]: => Test Epoch: [19/80] ETA 7:20:08 TT 0:07:21 (2:26:42) Loss 17.488 mAP 79.74479 Loss_ema 15.323 mAP_ema 82.77321
[07/13 20:07:18.410]: 19 | Set best mAP 82.77320983034197 in ep 19
[07/13 20:07:18.410]: | best regular mAP 79.80203650747629 in ep 18
[07/13 20:07:24.154]: lr:9.90385265113544e-05
[07/13 20:07:27.053]: Epoch: [20/80][ 0/646] T 2.896 (2.896) DT 2.446 (2.446) S1 11.0 (11.0) SA 44.2 (44.2) LR 9.904e-05 Loss 14.892 (14.892) Mem 15555
[07/13 20:10:14.084]: Epoch: [20/80][400/646] T 0.411 (0.424) DT 0.000 (0.006) S1 77.8 (75.5) SA 311.1 (302.1) LR 9.872e-05 Loss 15.129 (14.787) Mem 15555
[07/13 20:12:00.406]: Test: [ 0/317] Time 3.357 (3.357) Loss 18.128 (18.128) Mem 15555
[07/13 20:12:49.618]: => synchronize...
Calculating mAP:
[07/13 20:13:19.539]: mAP: 79.96021432458062
[07/13 20:13:22.208]: Test: [ 0/317] Time 2.654 (2.654) Loss 15.223 (15.223) Mem 15555
[07/13 20:14:11.295]: => synchronize...
Calculating mAP:
[07/13 20:14:36.506]: mAP: 82.88268658546232
[07/13 20:14:36.522]: => Test Epoch: [20/80] ETA 7:12:42 TT 0:07:18 (2:34:00) Loss 18.817 mAP 79.96021 Loss_ema 15.363 mAP_ema 82.88269
[07/13 20:14:36.527]: 20 | Set best mAP 82.88268658546232 in ep 20
[07/13 20:14:36.527]: | best regular mAP 79.96021432458062 in ep 20
[07/13 20:14:41.298]: lr:9.85006453544778e-05
[07/13 20:14:43.869]: Epoch: [21/80][ 0/646] T 2.569 (2.569) DT 2.162 (2.162) S1 12.5 (12.5) SA 49.8 (49.8) LR 9.850e-05 Loss 16.273 (16.273) Mem 15555
[07/13 20:17:30.594]: Epoch: [21/80][400/646] T 0.420 (0.422) DT 0.000 (0.006) S1 76.2 (75.8) SA 304.8 (303.2) LR 9.811e-05 Loss 13.481 (14.413) Mem 15555
[07/13 20:19:20.803]: Test: [ 0/317] Time 4.420 (4.420) Loss 17.259 (17.259) Mem 15555
[07/13 20:20:09.956]: => synchronize...
Calculating mAP:
[07/13 20:20:39.374]: mAP: 79.87471502199703
[07/13 20:20:42.404]: Test: [ 0/317] Time 3.011 (3.011) Loss 15.494 (15.494) Mem 15555
[07/13 20:21:30.805]: => synchronize...
Calculating mAP:
[07/13 20:21:58.181]: mAP: 82.97247046557894
[07/13 20:21:58.197]: => Test Epoch: [21/80] ETA 7:05:26 TT 0:07:21 (2:41:22) Loss 18.453 mAP 79.87472 Loss_ema 15.416 mAP_ema 82.97247
[07/13 20:21:58.203]: 21 | Set best mAP 82.97247046557894 in ep 21
[07/13 20:21:58.203]: | best regular mAP 79.96021432458062 in ep 20
[07/13 20:22:03.098]: lr:9.784592237660501e-05
[07/13 20:22:05.554]: Epoch: [22/80][ 0/646] T 2.453 (2.453) DT 2.045 (2.045) S1 13.0 (13.0) SA 52.2 (52.2) LR 9.784e-05 Loss 12.926 (12.926) Mem 15555
[07/13 20:24:55.050]: Epoch: [22/80][400/646] T 0.424 (0.429) DT 0.000 (0.005) S1 75.5 (74.6) SA 301.9 (298.5) LR 9.738e-05 Loss 15.687 (14.071) Mem 15555
[07/13 20:26:42.071]: Test: [ 0/317] Time 4.444 (4.444) Loss 16.722 (16.722) Mem 15555
[07/13 20:27:31.357]: => synchronize...
Calculating mAP:
[07/13 20:28:00.606]: mAP: 79.9667117577147
[07/13 20:28:03.621]: Test: [ 0/317] Time 3.003 (3.003) Loss 15.780 (15.780) Mem 15555
[07/13 20:28:52.153]: => synchronize...
Calculating mAP:
[07/13 20:29:17.762]: mAP: 83.02312245987845
[07/13 20:29:17.779]: => Test Epoch: [22/80] ETA 6:58:05 TT 0:07:19 (2:48:42) Loss 17.158 mAP 79.96671 Loss_ema 15.471 mAP_ema 83.02312
[07/13 20:29:17.785]: 22 | Set best mAP 83.02312245987845 in ep 22
[07/13 20:29:17.785]: | best regular mAP 79.9667117577147 in ep 22
[07/13 20:29:23.331]: lr:9.707593486273662e-05
[07/13 20:29:25.868]: Epoch: [23/80][ 0/646] T 2.535 (2.535) DT 2.128 (2.128) S1 12.6 (12.6) SA 50.5 (50.5) LR 9.707e-05 Loss 15.305 (15.305) Mem 15555
[07/13 20:32:12.621]: Epoch: [23/80][400/646] T 0.413 (0.422) DT 0.000 (0.006) S1 77.5 (75.8) SA 310.1 (303.2) LR 9.654e-05 Loss 14.400 (13.637) Mem 15555
[07/13 20:33:58.506]: Test: [ 0/317] Time 2.746 (2.746) Loss 20.511 (20.511) Mem 15555
[07/13 20:34:47.844]: => synchronize...
[07/13 20:35:18.200]: mAP: 79.87929114978238
[07/13 20:35:21.247]: Test: [ 0/317] Time 3.034 (3.034) Loss 15.987 (15.987) Mem 15555
[07/13 20:36:09.979]: => synchronize...
[07/13 20:36:35.415]: mAP: 83.06580823090876
[07/13 20:36:35.437]: => Test Epoch: [23/80] ETA 6:50:39 TT 0:07:17 (2:55:59) Loss 18.322 mAP 79.87929 Loss_ema 15.542 mAP_ema 83.06581
[07/13 20:36:35.441]: 23 | Set best mAP 83.06580823090876 in ep 23
[07/13 20:36:35.442]: | best regular mAP 79.9667117577147 in ep 22
[07/13 20:36:40.812]: lr:9.619253778023654e-05
[07/13 20:36:43.378]: Epoch: [24/80][ 0/646] T 2.564 (2.564) DT 2.157 (2.157) S1 12.5 (12.5) SA 49.9 (49.9) LR 9.619e-05 Loss 8.996 (8.996) Mem 15555
[07/13 20:39:30.002]: Epoch: [24/80][400/646] T 0.411 (0.422) DT 0.000 (0.006) S1 77.9 (75.8) SA 311.5 (303.4) LR 9.559e-05 Loss 16.831 (13.500) Mem 15555
[07/13 20:41:15.389]: Test: [ 0/317] Time 2.493 (2.493) Loss 15.169 (15.169) Mem 15555
[07/13 20:42:05.228]: => synchronize...
[07/13 20:42:34.405]: mAP: 80.2307236764522
[07/13 20:42:37.225]: Test: [ 0/317] Time 2.801 (2.801) Loss 16.101 (16.101) Mem 15555
[07/13 20:43:26.384]: => synchronize...
[07/13 20:43:51.122]: mAP: 83.1018875538968
[07/13 20:43:51.138]: => Test Epoch: [24/80] ETA 6:43:09 TT 0:07:15 (3:03:15) Loss 16.832 mAP 80.23072 Loss_ema 15.622 mAP_ema 83.10189
[07/13 20:43:51.144]: 24 | Set best mAP 83.1018875538968 in ep 24
[07/13 20:43:51.144]: | best regular mAP 80.2307236764522 in ep 24
[07/13 20:43:56.408]: lr:9.51978593100529e-05
[07/13 20:43:59.058]: Epoch: [25/80][ 0/646] T 2.648 (2.648) DT 2.218 (2.218) S1 12.1 (12.1) SA 48.3 (48.3) LR 9.520e-05 Loss 16.817 (16.817) Mem 15555
[07/13 20:46:45.657]: Epoch: [25/80][400/646] T 0.417 (0.422) DT 0.000 (0.006) S1 76.7 (75.8) SA 307.0 (303.3) LR 9.453e-05 Loss 17.154 (13.083) Mem 15555
[07/13 20:48:32.545]: Test: [ 0/317] Time 4.102 (4.102) Loss 17.805 (17.805) Mem 15555
[07/13 20:49:22.428]: => synchronize...
[07/13 20:49:53.568]: mAP: 80.32509385660788
[07/13 20:49:56.457]: Test: [ 0/317] Time 2.869 (2.869) Loss 16.112 (16.112) Mem 15555
[07/13 20:50:45.196]: => synchronize...
[07/13 20:51:10.876]: mAP: 83.11508597954307
[07/13 20:51:10.891]: => Test Epoch: [25/80] ETA 6:35:50 TT 0:07:19 (3:10:35) Loss 17.111 mAP 80.32509 Loss_ema 15.694 mAP_ema 83.11509
[07/13 20:51:10.896]: 25 | Set best mAP 83.11508597954307 in ep 25
[07/13 20:51:10.896]: | best regular mAP 80.32509385660788 in ep 25
[07/13 20:51:16.783]: lr:9.409429571974396e-05
[07/13 20:51:19.499]: Epoch: [26/80][ 0/646] T 2.714 (2.714) DT 2.275 (2.275) S1 11.8 (11.8) SA 47.2 (47.2) LR 9.409e-05 Loss 8.794 (8.794) Mem 15555
[07/13 20:54:06.395]: Epoch: [26/80][400/646] T 0.410 (0.423) DT 0.000 (0.006) S1 78.0 (75.7) SA 311.9 (302.6) LR 9.336e-05 Loss 12.540 (12.905) Mem 15555
[07/13 20:55:53.956]: Test: [ 0/317] Time 4.634 (4.634) Loss 18.665 (18.665) Mem 15555
[07/13 20:56:43.062]: => synchronize...
[07/13 20:57:14.394]: mAP: 80.39978351205687
[07/13 20:57:17.472]: Test: [ 0/317] Time 3.060 (3.060) Loss 16.193 (16.193) Mem 15555
[07/13 20:58:06.465]: => synchronize...
[07/13 20:58:31.553]: mAP: 83.15800830993021
[07/13 20:58:31.569]: => Test Epoch: [26/80] ETA 6:28:31 TT 0:07:20 (3:17:55) Loss 17.375 mAP 80.39978 Loss_ema 15.766 mAP_ema 83.15801
[07/13 20:58:31.575]: 26 | Set best mAP 83.15800830993021 in ep 26
[07/13 20:58:31.575]: | best regular mAP 80.39978351205687 in ep 26
[07/13 20:58:36.510]: lr:9.288450559065952e-05
[07/13 20:58:39.103]: Epoch: [27/80][ 0/646] T 2.591 (2.591) DT 2.186 (2.186) S1 12.4 (12.4) SA 49.4 (49.4) LR 9.288e-05 Loss 14.806 (14.806) Mem 15555
[07/13 21:01:25.834]: Epoch: [27/80][400/646] T 0.429 (0.422) DT 0.000 (0.006) S1 74.6 (75.8) SA 298.3 (303.1) LR 9.208e-05 Loss 10.720 (12.411) Mem 15555
[07/13 21:03:12.004]: Test: [ 0/317] Time 2.802 (2.802) Loss 18.756 (18.756) Mem 15555
[07/13 21:04:01.212]: => synchronize...
[07/13 21:04:33.747]: mAP: 80.4103387372178
[07/13 21:04:35.932]: Test: [ 0/317] Time 2.167 (2.167) Loss 16.559 (16.559) Mem 15555
[07/13 21:05:25.188]: => synchronize...
[07/13 21:05:52.023]: mAP: 83.17552258620336
[07/13 21:05:52.040]: => Test Epoch: [27/80] ETA 6:21:13 TT 0:07:20 (3:25:16) Loss 17.516 mAP 80.41034 Loss_ema 15.828 mAP_ema 83.17552
[07/13 21:05:52.047]: 27 | Set best mAP 83.17552258620336 in ep 27
[07/13 21:05:52.047]: | best regular mAP 80.4103387372178 in ep 27
[07/13 21:05:56.921]: lr:9.157140341318564e-05
[07/13 21:05:59.573]: Epoch: [28/80][ 0/646] T 2.649 (2.649) DT 2.226 (2.226) S1 12.1 (12.1) SA 48.3 (48.3) LR 9.157e-05 Loss 12.923 (12.923) Mem 15555
[07/13 21:08:45.976]: Epoch: [28/80][400/646] T 0.414 (0.422) DT 0.000 (0.006) S1 77.3 (75.9) SA 309.1 (303.6) LR 9.071e-05 Loss 11.574 (12.135) Mem 15555
[07/13 21:10:34.924]: Test: [ 0/317] Time 2.691 (2.691) Loss 20.798 (20.798) Mem 15555
[07/13 21:11:24.391]: => synchronize...
[07/13 21:11:50.783]: mAP: 80.37573153520357
[07/13 21:11:53.649]: Test: [ 0/317] Time 2.849 (2.849) Loss 16.926 (16.926) Mem 15555
[07/13 21:12:42.709]: => synchronize...
[07/13 21:13:11.588]: mAP: 83.17712381218553
[07/13 21:13:11.605]: => Test Epoch: [28/80] ETA 6:13:52 TT 0:07:19 (3:32:35) Loss 17.902 mAP 80.37573 Loss_ema 15.923 mAP_ema 83.17712
[07/13 21:13:11.611]: 28 | Set best mAP 83.17712381218553 in ep 28
[07/13 21:13:11.611]: | best regular mAP 80.4103387372178 in ep 27
[07/13 21:13:18.253]: lr:9.015815256548202e-05
[07/13 21:13:20.910]: Epoch: [29/80][ 0/646] T 2.655 (2.655) DT 2.238 (2.238) S1 12.1 (12.1) SA 48.2 (48.2) LR 9.016e-05 Loss 13.621 (13.621) Mem 15555
[07/13 21:16:08.127]: Epoch: [29/80][400/646] T 0.424 (0.424) DT 0.000 (0.006) S1 75.4 (75.5) SA 301.6 (302.2) LR 8.923e-05 Loss 10.108 (11.935) Mem 15555
[07/13 21:17:55.061]: Test: [ 0/317] Time 3.892 (3.892) Loss 17.960 (17.960) Mem 15555
[07/13 21:18:44.469]: => synchronize...
[07/13 21:19:14.004]: mAP: 80.68582631344866
[07/13 21:19:17.057]: Test: [ 0/317] Time 3.034 (3.034) Loss 17.407 (17.407) Mem 15555
[07/13 21:20:05.630]: => synchronize...
[07/13 21:20:31.364]: mAP: 83.1738559111389
[07/13 21:20:31.375]: => Test Epoch: [29/80] ETA 6:06:32 TT 0:07:19 (3:39:55) Loss 18.439 mAP 80.68583 Loss_ema 16.031 mAP_ema 83.17386
[07/13 21:20:31.380]: 29 | Set best mAP 83.17712381218553 in ep 28
[07/13 21:20:31.380]: | best regular mAP 80.68582631344866 in ep 29
[07/13 21:20:31.444]: lr:8.864815769262694e-05

THUeeY · 2022-07-18T06:25:56Z

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ResNet101+ASL in MS-COCO #90

ResNet101+ASL in MS-COCO #90

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ResNet101+ASL in MS-COCO #90

ResNet101+ASL in MS-COCO #90

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