03/02 23:14:53 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0] CUDA available: False numpy_random_seed: 1556545366 GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 PyTorch: 1.8.0a0+56b43f4 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) MKL-DNN v1.7.0 (Git Hash 7aed236906b1f7a05c0917e5257a1af05e9ff683) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - Build settings: BLAS_INFO=generic, BUILD_TYPE=Release, CXX_COMPILER=/opt/buildtools/gcc-7.3.0/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=generic, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.8.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_EIGEN_FOR_BLAS=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=OFF, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, OpenCV: 4.7.0 MMEngine: 0.5.0 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None deterministic: False Distributed launcher: pytorch Distributed training: True GPU number: 8 ------------------------------------------------------------ 03/02 23:14:53 - mmengine - INFO - Config: model = dict( type='ImageClassifier', backbone=dict(type='HRNet', arch='w18'), neck=[ dict(type='HRFuseScales', in_channels=(18, 36, 72, 144)), dict(type='GlobalAveragePooling') ], head=dict( type='LinearClsHead', in_channels=2048, num_classes=1000, loss=dict(type='CrossEntropyLoss', loss_weight=1.0), topk=(1, 5))) dataset_type = 'ImageNet' data_preprocessor = dict( num_classes=1000, mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', scale=224, backend='pillow'), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict(type='PackClsInputs') ] test_pipeline = [ dict(type='LoadImageFromFile'), dict(type='ResizeEdge', scale=256, edge='short', backend='pillow'), dict(type='CenterCrop', crop_size=224), dict(type='PackClsInputs') ] train_dataloader = dict( pin_memory=True, persistent_workers=False, collate_fn=dict(type='default_collate'), batch_size=32, num_workers=64, dataset=dict( type='ImageNet', data_root='data/imagenet', data_prefix='train', pipeline=[ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', scale=224, backend='pillow'), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict(type='PackClsInputs') ]), sampler=dict(type='DefaultSampler', shuffle=True)) val_dataloader = dict( pin_memory=True, persistent_workers=False, collate_fn=dict(type='default_collate'), batch_size=32, num_workers=64, dataset=dict( type='ImageNet', data_root='data/imagenet', ann_file='meta/val.txt', data_prefix='val', pipeline=[ dict(type='LoadImageFromFile'), dict(type='ResizeEdge', scale=256, edge='short', backend='pillow'), dict(type='CenterCrop', crop_size=224), dict(type='PackClsInputs') ]), sampler=dict(type='DefaultSampler', shuffle=False)) val_evaluator = dict(type='Accuracy', topk=(1, 5)) test_dataloader = dict( pin_memory=True, persistent_workers=False, collate_fn=dict(type='default_collate'), batch_size=32, num_workers=64, dataset=dict( type='ImageNet', data_root='data/imagenet', ann_file='meta/val.txt', data_prefix='val', pipeline=[ dict(type='LoadImageFromFile'), dict(type='ResizeEdge', scale=256, edge='short', backend='pillow'), dict(type='CenterCrop', crop_size=224), dict(type='PackClsInputs') ]), sampler=dict(type='DefaultSampler', shuffle=False)) test_evaluator = dict(type='Accuracy', topk=(1, 5)) optim_wrapper = dict( optimizer=dict(type='SGD', lr=0.1, momentum=0.9, weight_decay=0.0001)) param_scheduler = dict( type='CosineAnnealingLR', T_max=100, by_epoch=True, begin=0, end=100) train_cfg = dict(by_epoch=True, max_epochs=100, val_interval=1) val_cfg = dict() test_cfg = dict() auto_scale_lr = dict(base_batch_size=128) default_scope = 'mmcls' default_hooks = dict( timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=100), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict(type='CheckpointHook', interval=1), sampler_seed=dict(type='DistSamplerSeedHook'), visualization=dict(type='VisualizationHook', enable=False)) env_cfg = dict( cudnn_benchmark=False, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='ClsVisualizer', vis_backends=[dict(type='LocalVisBackend')]) log_level = 'INFO' load_from = None resume = False randomness = dict(seed=None, deterministic=False) launcher = 'pytorch' work_dir = './work_dirs/hrnet-w18_4xb32_in1k' 03/02 23:14:53 - mmengine - WARNING - The "visualizer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/02 23:14:53 - mmengine - WARNING - The "vis_backend" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/02 23:14:54 - mmengine - WARNING - The "model" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/02 23:15:04 - mmengine - WARNING - The "hook" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/02 23:15:04 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (BELOW_NORMAL) LoggerHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (VERY_LOW ) CheckpointHook -------------------- before_train_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (NORMAL ) DistSamplerSeedHook -------------------- before_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook -------------------- after_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train_epoch: (NORMAL ) IterTimerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (NORMAL ) VisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (NORMAL ) VisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 03/02 23:15:04 - mmengine - WARNING - The "dataset" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/02 23:15:04 - mmengine - WARNING - The "transform" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True 03/02 23:15:31 - mmengine - WARNING - The "data sampler" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/02 23:15:31 - mmengine - WARNING - The "optimizer wrapper constructor" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/02 23:15:31 - mmengine - WARNING - The "optimizer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/02 23:15:31 - mmengine - WARNING - The "optimizer_wrapper" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True 03/02 23:15:31 - mmengine - WARNING - The "parameter scheduler" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/02 23:15:32 - mmengine - WARNING - The "metric" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/02 23:15:35 - mmengine - WARNING - The "weight initializer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/02 23:15:43 - mmengine - INFO - Checkpoints will be saved to /ubuntu-lv2/lml/mmcv_2.x/mmclassification/work_dirs/hrnet-w18_4xb32_in1k. [W reducer.cpp:401] Warning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed. This is not an error, but may impair performance. grad.sizes() = [1000, 2048], strides() = [2048, 1] bucket_view.sizes() = [2048000], strides() = [1] (function operator()) [W reducer.cpp:401] Warning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed. This is not an error, but may impair performance. grad.sizes() = [1000, 2048], strides() = [2048, 1] bucket_view.sizes() = [2048000], strides() = [1] (function operator()) [W reducer.cpp:401] Warning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed. This is not an error, but may impair performance. grad.sizes() = [1000, 2048], strides() = [2048, 1] bucket_view.sizes() = [2048000], strides() = [1] (function operator()) [W reducer.cpp:401] Warning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed. This is not an error, but may impair performance. grad.sizes() = [1000, 2048], strides() = [2048, 1] bucket_view.sizes() = [2048000], strides() = [1] (function operator()) [W reducer.cpp:401] Warning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed. This is not an error, but may impair performance. grad.sizes() = [1000, 2048], strides() = [2048, 1] bucket_view.sizes() = [2048000], strides() = [1] (function operator()) [W reducer.cpp:401] Warning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed. This is not an error, but may impair performance. grad.sizes() = [1000, 2048], strides() = [2048, 1] bucket_view.sizes() = [2048000], strides() = [1] (function operator()) [W reducer.cpp:401] Warning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed. This is not an error, but may impair performance. grad.sizes() = [1000, 2048], strides() = [2048, 1] bucket_view.sizes() = [2048000], strides() = [1] (function operator()) [W reducer.cpp:401] Warning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed. This is not an error, but may impair performance. grad.sizes() = [1000, 2048], strides() = [2048, 1] bucket_view.sizes() = [2048000], strides() = [1] (function operator()) 03/02 23:19:11 - mmengine - INFO - Epoch(train) [1][ 100/5005] lr: 1.0000e-01 eta: 12 days, 1:01:59 time: 0.3568 data_time: 0.0027 loss: 6.9034 03/02 23:19:48 - mmengine - INFO - Epoch(train) [1][ 200/5005] lr: 1.0000e-01 eta: 7 days, 2:05:37 time: 0.4060 data_time: 0.0034 loss: 6.7745 03/02 23:20:24 - mmengine - INFO - Epoch(train) [1][ 300/5005] lr: 1.0000e-01 eta: 5 days, 10:01:32 time: 0.3547 data_time: 0.0042 loss: 6.7231 03/02 23:21:01 - mmengine - INFO - Epoch(train) [1][ 400/5005] lr: 1.0000e-01 eta: 4 days, 14:23:28 time: 0.3747 data_time: 0.0039 loss: 6.6816 03/02 23:21:37 - mmengine - INFO - Epoch(train) [1][ 500/5005] lr: 1.0000e-01 eta: 4 days, 2:19:47 time: 0.3728 data_time: 0.0039 loss: 6.6231 03/02 23:22:14 - mmengine - INFO - Epoch(train) [1][ 600/5005] lr: 1.0000e-01 eta: 3 days, 18:29:51 time: 0.3612 data_time: 0.0039 loss: 6.5113 03/02 23:22:52 - mmengine - INFO - Epoch(train) [1][ 700/5005] lr: 1.0000e-01 eta: 3 days, 12:59:28 time: 0.3648 data_time: 0.0039 loss: 6.3744 03/02 23:23:28 - mmengine - INFO - Epoch(train) [1][ 800/5005] lr: 1.0000e-01 eta: 3 days, 8:38:41 time: 0.3545 data_time: 0.0041 loss: 6.3668 03/02 23:24:06 - mmengine - INFO - Epoch(train) [1][ 900/5005] lr: 1.0000e-01 eta: 3 days, 5:29:22 time: 0.3670 data_time: 0.0037 loss: 6.2022 03/02 23:24:44 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/02 23:24:44 - mmengine - INFO - Epoch(train) [1][1000/5005] lr: 1.0000e-01 eta: 3 days, 2:58:33 time: 0.3957 data_time: 0.0040 loss: 6.1001 03/02 23:25:20 - mmengine - INFO - Epoch(train) [1][1100/5005] lr: 1.0000e-01 eta: 3 days, 0:45:20 time: 0.3649 data_time: 0.0042 loss: 6.0307 03/02 23:25:58 - mmengine - INFO - Epoch(train) [1][1200/5005] lr: 1.0000e-01 eta: 2 days, 23:01:41 time: 0.3670 data_time: 0.0040 loss: 5.8173 03/02 23:26:35 - mmengine - INFO - Epoch(train) [1][1300/5005] lr: 1.0000e-01 eta: 2 days, 21:30:03 time: 0.3824 data_time: 0.0041 loss: 5.6720 03/02 23:27:12 - mmengine - INFO - Epoch(train) [1][1400/5005] lr: 1.0000e-01 eta: 2 days, 20:14:15 time: 0.3586 data_time: 0.0043 loss: 5.6840 03/02 23:27:50 - mmengine - INFO - Epoch(train) [1][1500/5005] lr: 1.0000e-01 eta: 2 days, 19:10:08 time: 0.3697 data_time: 0.0038 loss: 5.6190 03/02 23:28:26 - mmengine - INFO - Epoch(train) [1][1600/5005] lr: 1.0000e-01 eta: 2 days, 18:05:23 time: 0.3537 data_time: 0.0040 loss: 5.4766 03/02 23:29:04 - mmengine - INFO - Epoch(train) [1][1700/5005] lr: 1.0000e-01 eta: 2 days, 17:14:22 time: 0.3631 data_time: 0.0042 loss: 5.3917 03/02 23:29:41 - mmengine - INFO - Epoch(train) [1][1800/5005] lr: 1.0000e-01 eta: 2 days, 16:30:17 time: 0.4194 data_time: 0.0044 loss: 5.4957 03/02 23:30:18 - mmengine - INFO - Epoch(train) [1][1900/5005] lr: 1.0000e-01 eta: 2 days, 15:45:22 time: 0.3609 data_time: 0.0036 loss: 5.1059 03/02 23:30:56 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/02 23:30:56 - mmengine - INFO - Epoch(train) [1][2000/5005] lr: 1.0000e-01 eta: 2 days, 15:10:34 time: 0.3548 data_time: 0.0042 loss: 5.3076 03/02 23:31:33 - mmengine - INFO - Epoch(train) [1][2100/5005] lr: 1.0000e-01 eta: 2 days, 14:36:06 time: 0.4023 data_time: 0.0042 loss: 5.2479 03/02 23:32:10 - mmengine - INFO - Epoch(train) [1][2200/5005] lr: 1.0000e-01 eta: 2 days, 14:06:27 time: 0.3685 data_time: 0.0041 loss: 5.0911 03/02 23:32:48 - mmengine - INFO - Epoch(train) [1][2300/5005] lr: 1.0000e-01 eta: 2 days, 13:39:52 time: 0.3791 data_time: 0.0042 loss: 4.8630 03/02 23:33:25 - mmengine - INFO - Epoch(train) [1][2400/5005] lr: 1.0000e-01 eta: 2 days, 13:11:28 time: 0.3765 data_time: 0.0044 loss: 5.0176 03/02 23:34:02 - mmengine - INFO - Epoch(train) [1][2500/5005] lr: 1.0000e-01 eta: 2 days, 12:48:06 time: 0.3675 data_time: 0.0041 loss: 5.0427 03/02 23:34:40 - mmengine - INFO - Epoch(train) [1][2600/5005] lr: 1.0000e-01 eta: 2 days, 12:26:37 time: 0.4002 data_time: 0.0038 loss: 5.0778 03/02 23:35:16 - mmengine - INFO - Epoch(train) [1][2700/5005] lr: 1.0000e-01 eta: 2 days, 12:04:43 time: 0.3748 data_time: 0.0041 loss: 4.8964 03/02 23:35:54 - mmengine - INFO - Epoch(train) [1][2800/5005] lr: 1.0000e-01 eta: 2 days, 11:45:31 time: 0.3584 data_time: 0.0039 loss: 4.7743 03/02 23:36:30 - mmengine - INFO - Epoch(train) [1][2900/5005] lr: 1.0000e-01 eta: 2 days, 11:25:59 time: 0.3756 data_time: 0.0044 loss: 4.7289 03/02 23:37:08 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/02 23:37:08 - mmengine - INFO - Epoch(train) [1][3000/5005] lr: 1.0000e-01 eta: 2 days, 11:10:24 time: 0.3694 data_time: 0.0040 loss: 4.6660 03/02 23:37:46 - mmengine - INFO - Epoch(train) [1][3100/5005] lr: 1.0000e-01 eta: 2 days, 10:56:33 time: 0.3776 data_time: 0.0039 loss: 4.8381 03/02 23:38:22 - mmengine - INFO - Epoch(train) [1][3200/5005] lr: 1.0000e-01 eta: 2 days, 10:40:14 time: 0.3542 data_time: 0.0051 loss: 4.6814 03/02 23:39:00 - mmengine - INFO - Epoch(train) [1][3300/5005] lr: 1.0000e-01 eta: 2 days, 10:27:25 time: 0.3710 data_time: 0.0041 loss: 4.7167 03/02 23:39:37 - mmengine - INFO - Epoch(train) [1][3400/5005] lr: 1.0000e-01 eta: 2 days, 10:14:04 time: 0.3815 data_time: 0.0041 loss: 4.4468 03/02 23:40:15 - mmengine - INFO - Epoch(train) [1][3500/5005] lr: 1.0000e-01 eta: 2 days, 10:01:57 time: 0.3624 data_time: 0.0036 loss: 4.5919 03/02 23:40:52 - mmengine - INFO - Epoch(train) [1][3600/5005] lr: 1.0000e-01 eta: 2 days, 9:50:36 time: 0.3635 data_time: 0.0040 loss: 4.4352 03/02 23:41:29 - mmengine - INFO - Epoch(train) [1][3700/5005] lr: 1.0000e-01 eta: 2 days, 9:38:16 time: 0.3698 data_time: 0.0038 loss: 4.4218 03/02 23:42:06 - mmengine - INFO - Epoch(train) [1][3800/5005] lr: 1.0000e-01 eta: 2 days, 9:26:57 time: 0.3631 data_time: 0.0049 loss: 4.2312 03/02 23:42:44 - mmengine - INFO - Epoch(train) [1][3900/5005] lr: 1.0000e-01 eta: 2 days, 9:18:29 time: 0.3843 data_time: 0.0040 loss: 4.3579 03/02 23:43:21 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/02 23:43:21 - mmengine - INFO - Epoch(train) [1][4000/5005] lr: 1.0000e-01 eta: 2 days, 9:08:53 time: 0.3681 data_time: 0.0042 loss: 4.4572 03/02 23:43:59 - mmengine - INFO - Epoch(train) [1][4100/5005] lr: 1.0000e-01 eta: 2 days, 9:01:08 time: 0.3662 data_time: 0.0039 loss: 4.4313 03/02 23:44:36 - mmengine - INFO - Epoch(train) [1][4200/5005] lr: 1.0000e-01 eta: 2 days, 8:52:01 time: 0.3825 data_time: 0.0040 loss: 4.0576 03/02 23:45:14 - mmengine - INFO - Epoch(train) [1][4300/5005] lr: 1.0000e-01 eta: 2 days, 8:44:44 time: 0.3643 data_time: 0.0043 loss: 4.2001 03/02 23:45:51 - mmengine - INFO - Epoch(train) [1][4400/5005] lr: 1.0000e-01 eta: 2 days, 8:37:08 time: 0.3723 data_time: 0.0045 loss: 4.2516 03/02 23:46:28 - mmengine - INFO - Epoch(train) [1][4500/5005] lr: 1.0000e-01 eta: 2 days, 8:28:17 time: 0.3688 data_time: 0.0039 loss: 4.2066 03/02 23:47:05 - mmengine - INFO - Epoch(train) [1][4600/5005] lr: 1.0000e-01 eta: 2 days, 8:20:48 time: 0.3621 data_time: 0.0043 loss: 4.2053 03/02 23:47:42 - mmengine - INFO - Epoch(train) [1][4700/5005] lr: 1.0000e-01 eta: 2 days, 8:13:56 time: 0.3758 data_time: 0.0044 loss: 4.1927 03/02 23:48:19 - mmengine - INFO - Epoch(train) [1][4800/5005] lr: 1.0000e-01 eta: 2 days, 8:06:49 time: 0.3638 data_time: 0.0041 loss: 4.2561 03/02 23:48:57 - mmengine - INFO - Epoch(train) [1][4900/5005] lr: 1.0000e-01 eta: 2 days, 8:00:08 time: 0.3476 data_time: 0.0037 loss: 4.1180 03/02 23:49:32 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/02 23:49:32 - mmengine - INFO - Epoch(train) [1][5000/5005] lr: 1.0000e-01 eta: 2 days, 7:50:46 time: 0.3497 data_time: 0.0037 loss: 3.9819 03/02 23:52:27 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/02 23:52:29 - mmengine - INFO - Saving checkpoint at 1 epochs 03/02 23:53:12 - mmengine - INFO - Epoch(val) [1][100/196] eta: 0:00:40 time: 0.0348 data_time: 0.0002 03/02 23:54:41 - mmengine - INFO - Epoch(val) [1][196/196] accuracy/top1: 19.2880 accuracy/top5: 41.3060 03/02 23:55:27 - mmengine - INFO - Epoch(train) [2][ 100/5005] lr: 9.9975e-02 eta: 2 days, 12:39:17 time: 0.3670 data_time: 0.0041 loss: 4.2255 03/02 23:56:05 - mmengine - INFO - Epoch(train) [2][ 200/5005] lr: 9.9975e-02 eta: 2 days, 12:28:34 time: 0.3640 data_time: 0.0042 loss: 3.9922 03/02 23:56:42 - mmengine - INFO - Epoch(train) [2][ 300/5005] lr: 9.9975e-02 eta: 2 days, 12:17:09 time: 0.3739 data_time: 0.0039 loss: 4.0293 03/02 23:57:20 - mmengine - INFO - Epoch(train) [2][ 400/5005] lr: 9.9975e-02 eta: 2 days, 12:07:37 time: 0.3730 data_time: 0.0046 loss: 4.0999 03/02 23:57:58 - mmengine - INFO - Epoch(train) [2][ 500/5005] lr: 9.9975e-02 eta: 2 days, 11:58:10 time: 0.3881 data_time: 0.0038 loss: 3.8733 03/02 23:58:35 - mmengine - INFO - Epoch(train) [2][ 600/5005] lr: 9.9975e-02 eta: 2 days, 11:48:04 time: 0.3830 data_time: 0.0045 loss: 3.9521 03/02 23:59:12 - mmengine - INFO - Epoch(train) [2][ 700/5005] lr: 9.9975e-02 eta: 2 days, 11:38:29 time: 0.3696 data_time: 0.0045 loss: 3.9063 03/02 23:59:49 - mmengine - INFO - Epoch(train) [2][ 800/5005] lr: 9.9975e-02 eta: 2 days, 11:28:43 time: 0.3711 data_time: 0.0049 loss: 3.8794 03/03 00:00:27 - mmengine - INFO - Epoch(train) [2][ 900/5005] lr: 9.9975e-02 eta: 2 days, 11:20:25 time: 0.3776 data_time: 0.0046 loss: 4.0352 03/03 00:01:03 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 00:01:05 - mmengine - INFO - Epoch(train) [2][1000/5005] lr: 9.9975e-02 eta: 2 days, 11:12:18 time: 0.4083 data_time: 0.0042 loss: 3.8749 03/03 00:01:42 - mmengine - INFO - Epoch(train) [2][1100/5005] lr: 9.9975e-02 eta: 2 days, 11:03:17 time: 0.3619 data_time: 0.0046 loss: 3.9615 03/03 00:02:19 - mmengine - INFO - Epoch(train) [2][1200/5005] lr: 9.9975e-02 eta: 2 days, 10:54:52 time: 0.3721 data_time: 0.0040 loss: 4.0253 03/03 00:02:56 - mmengine - INFO - Epoch(train) [2][1300/5005] lr: 9.9975e-02 eta: 2 days, 10:46:27 time: 0.3660 data_time: 0.0041 loss: 4.0163 03/03 00:03:34 - mmengine - INFO - Epoch(train) [2][1400/5005] lr: 9.9975e-02 eta: 2 days, 10:38:37 time: 0.3996 data_time: 0.0044 loss: 4.0173 03/03 00:04:11 - mmengine - INFO - Epoch(train) [2][1500/5005] lr: 9.9975e-02 eta: 2 days, 10:31:16 time: 0.3805 data_time: 0.0043 loss: 3.9163 03/03 00:04:48 - mmengine - INFO - Epoch(train) [2][1600/5005] lr: 9.9975e-02 eta: 2 days, 10:23:38 time: 0.3682 data_time: 0.0039 loss: 3.6455 03/03 00:05:25 - mmengine - INFO - Epoch(train) [2][1700/5005] lr: 9.9975e-02 eta: 2 days, 10:16:20 time: 0.3730 data_time: 0.0043 loss: 3.6306 03/03 00:06:03 - mmengine - INFO - Epoch(train) [2][1800/5005] lr: 9.9975e-02 eta: 2 days, 10:09:40 time: 0.3995 data_time: 0.0043 loss: 3.7003 03/03 00:06:40 - mmengine - INFO - Epoch(train) [2][1900/5005] lr: 9.9975e-02 eta: 2 days, 10:02:21 time: 0.3722 data_time: 0.0038 loss: 3.6096 03/03 00:07:16 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 00:07:17 - mmengine - INFO - Epoch(train) [2][2000/5005] lr: 9.9975e-02 eta: 2 days, 9:56:08 time: 0.3663 data_time: 0.0042 loss: 3.7739 03/03 00:07:54 - mmengine - INFO - Epoch(train) [2][2100/5005] lr: 9.9975e-02 eta: 2 days, 9:49:08 time: 0.3799 data_time: 0.0047 loss: 3.7078 03/03 00:08:31 - mmengine - INFO - Epoch(train) [2][2200/5005] lr: 9.9975e-02 eta: 2 days, 9:42:23 time: 0.3606 data_time: 0.0039 loss: 3.9319 03/03 00:09:08 - mmengine - INFO - Epoch(train) [2][2300/5005] lr: 9.9975e-02 eta: 2 days, 9:36:23 time: 0.3699 data_time: 0.0043 loss: 3.6615 03/03 00:09:45 - mmengine - INFO - Epoch(train) [2][2400/5005] lr: 9.9975e-02 eta: 2 days, 9:30:02 time: 0.3636 data_time: 0.0050 loss: 3.8396 03/03 00:10:23 - mmengine - INFO - Epoch(train) [2][2500/5005] lr: 9.9975e-02 eta: 2 days, 9:24:15 time: 0.3736 data_time: 0.0043 loss: 3.7598 03/03 00:11:00 - mmengine - INFO - Epoch(train) [2][2600/5005] lr: 9.9975e-02 eta: 2 days, 9:18:10 time: 0.3945 data_time: 0.0046 loss: 3.5360 03/03 00:11:37 - mmengine - INFO - Epoch(train) [2][2700/5005] lr: 9.9975e-02 eta: 2 days, 9:12:11 time: 0.3576 data_time: 0.0045 loss: 3.6931 03/03 00:12:14 - mmengine - INFO - Epoch(train) [2][2800/5005] lr: 9.9975e-02 eta: 2 days, 9:06:23 time: 0.3563 data_time: 0.0045 loss: 3.6494 03/03 00:12:51 - mmengine - INFO - Epoch(train) [2][2900/5005] lr: 9.9975e-02 eta: 2 days, 9:01:11 time: 0.3785 data_time: 0.0039 loss: 3.5528 03/03 00:13:26 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 00:13:28 - mmengine - INFO - Epoch(train) [2][3000/5005] lr: 9.9975e-02 eta: 2 days, 8:55:58 time: 0.3665 data_time: 0.0043 loss: 3.4876 03/03 00:14:06 - mmengine - INFO - Epoch(train) [2][3100/5005] lr: 9.9975e-02 eta: 2 days, 8:50:59 time: 0.3777 data_time: 0.0040 loss: 3.4989 03/03 00:14:43 - mmengine - INFO - Epoch(train) [2][3200/5005] lr: 9.9975e-02 eta: 2 days, 8:45:53 time: 0.3639 data_time: 0.0042 loss: 3.4947 03/03 00:15:20 - mmengine - INFO - Epoch(train) [2][3300/5005] lr: 9.9975e-02 eta: 2 days, 8:40:53 time: 0.3635 data_time: 0.0045 loss: 3.7232 03/03 00:15:57 - mmengine - INFO - Epoch(train) [2][3400/5005] lr: 9.9975e-02 eta: 2 days, 8:36:21 time: 0.3703 data_time: 0.0039 loss: 3.4850 03/03 00:16:35 - mmengine - INFO - Epoch(train) [2][3500/5005] lr: 9.9975e-02 eta: 2 days, 8:31:46 time: 0.3792 data_time: 0.0044 loss: 3.4031 03/03 00:17:12 - mmengine - INFO - Epoch(train) [2][3600/5005] lr: 9.9975e-02 eta: 2 days, 8:27:15 time: 0.3618 data_time: 0.0044 loss: 3.3765 03/03 00:17:50 - mmengine - INFO - Epoch(train) [2][3700/5005] lr: 9.9975e-02 eta: 2 days, 8:22:52 time: 0.3578 data_time: 0.0043 loss: 3.4598 03/03 00:18:26 - mmengine - INFO - Epoch(train) [2][3800/5005] lr: 9.9975e-02 eta: 2 days, 8:18:00 time: 0.3601 data_time: 0.0044 loss: 3.4883 03/03 00:19:04 - mmengine - INFO - Epoch(train) [2][3900/5005] lr: 9.9975e-02 eta: 2 days, 8:13:59 time: 0.3796 data_time: 0.0041 loss: 3.5307 03/03 00:19:40 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 00:19:41 - mmengine - INFO - Epoch(train) [2][4000/5005] lr: 9.9975e-02 eta: 2 days, 8:09:46 time: 0.3585 data_time: 0.0048 loss: 3.5199 03/03 00:20:19 - mmengine - INFO - Epoch(train) [2][4100/5005] lr: 9.9975e-02 eta: 2 days, 8:05:54 time: 0.3797 data_time: 0.0048 loss: 3.5279 03/03 00:20:56 - mmengine - INFO - Epoch(train) [2][4200/5005] lr: 9.9975e-02 eta: 2 days, 8:01:43 time: 0.3662 data_time: 0.0046 loss: 3.4723 03/03 00:21:33 - mmengine - INFO - Epoch(train) [2][4300/5005] lr: 9.9975e-02 eta: 2 days, 7:57:49 time: 0.3821 data_time: 0.0041 loss: 3.3360 03/03 00:22:11 - mmengine - INFO - Epoch(train) [2][4400/5005] lr: 9.9975e-02 eta: 2 days, 7:54:05 time: 0.3686 data_time: 0.0038 loss: 3.4045 03/03 00:22:48 - mmengine - INFO - Epoch(train) [2][4500/5005] lr: 9.9975e-02 eta: 2 days, 7:50:16 time: 0.3667 data_time: 0.0038 loss: 3.4559 03/03 00:23:25 - mmengine - INFO - Epoch(train) [2][4600/5005] lr: 9.9975e-02 eta: 2 days, 7:46:08 time: 0.3655 data_time: 0.0040 loss: 3.3592 03/03 00:24:03 - mmengine - INFO - Epoch(train) [2][4700/5005] lr: 9.9975e-02 eta: 2 days, 7:42:34 time: 0.3905 data_time: 0.0045 loss: 3.5254 03/03 00:24:40 - mmengine - INFO - Epoch(train) [2][4800/5005] lr: 9.9975e-02 eta: 2 days, 7:38:54 time: 0.3789 data_time: 0.0036 loss: 3.5030 03/03 00:25:17 - mmengine - INFO - Epoch(train) [2][4900/5005] lr: 9.9975e-02 eta: 2 days, 7:34:51 time: 0.3445 data_time: 0.0040 loss: 3.5841 03/03 00:25:51 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 00:25:53 - mmengine - INFO - Epoch(train) [2][5000/5005] lr: 9.9975e-02 eta: 2 days, 7:30:12 time: 0.3605 data_time: 0.0041 loss: 3.3339 03/03 00:25:54 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 00:25:57 - mmengine - INFO - Saving checkpoint at 2 epochs 03/03 00:26:15 - mmengine - INFO - Epoch(val) [2][100/196] eta: 0:00:15 time: 0.0453 data_time: 0.0004 03/03 00:26:32 - mmengine - INFO - Epoch(val) [2][196/196] accuracy/top1: 32.4200 accuracy/top5: 58.2080 03/03 00:27:18 - mmengine - INFO - Epoch(train) [3][ 100/5005] lr: 9.9901e-02 eta: 2 days, 7:33:49 time: 0.3649 data_time: 0.0048 loss: 3.2414 03/03 00:27:55 - mmengine - INFO - Epoch(train) [3][ 200/5005] lr: 9.9901e-02 eta: 2 days, 7:30:04 time: 0.3795 data_time: 0.0070 loss: 3.3901 03/03 00:28:32 - mmengine - INFO - Epoch(train) [3][ 300/5005] lr: 9.9901e-02 eta: 2 days, 7:26:08 time: 0.3695 data_time: 0.0044 loss: 3.2469 03/03 00:29:09 - mmengine - INFO - Epoch(train) [3][ 400/5005] lr: 9.9901e-02 eta: 2 days, 7:22:25 time: 0.3604 data_time: 0.0042 loss: 3.3911 03/03 00:29:45 - mmengine - INFO - Epoch(train) [3][ 500/5005] lr: 9.9901e-02 eta: 2 days, 7:18:30 time: 0.3648 data_time: 0.0040 loss: 3.1637 03/03 00:30:23 - mmengine - INFO - Epoch(train) [3][ 600/5005] lr: 9.9901e-02 eta: 2 days, 7:15:18 time: 0.3597 data_time: 0.0041 loss: 3.3385 03/03 00:31:00 - mmengine - INFO - Epoch(train) [3][ 700/5005] lr: 9.9901e-02 eta: 2 days, 7:11:51 time: 0.3691 data_time: 0.0048 loss: 3.1021 03/03 00:31:36 - mmengine - INFO - Epoch(train) [3][ 800/5005] lr: 9.9901e-02 eta: 2 days, 7:08:06 time: 0.3589 data_time: 0.0053 loss: 2.9897 03/03 00:32:13 - mmengine - INFO - Epoch(train) [3][ 900/5005] lr: 9.9901e-02 eta: 2 days, 7:04:49 time: 0.3812 data_time: 0.0048 loss: 3.0011 03/03 00:32:46 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 00:32:50 - mmengine - INFO - Epoch(train) [3][1000/5005] lr: 9.9901e-02 eta: 2 days, 7:01:10 time: 0.3605 data_time: 0.0049 loss: 3.3337 03/03 00:33:27 - mmengine - INFO - Epoch(train) [3][1100/5005] lr: 9.9901e-02 eta: 2 days, 6:58:05 time: 0.3778 data_time: 0.0050 loss: 3.1600 03/03 00:34:04 - mmengine - INFO - Epoch(train) [3][1200/5005] lr: 9.9901e-02 eta: 2 days, 6:55:06 time: 0.3774 data_time: 0.0042 loss: 3.1049 03/03 00:34:41 - mmengine - INFO - Epoch(train) [3][1300/5005] lr: 9.9901e-02 eta: 2 days, 6:51:41 time: 0.3697 data_time: 0.0046 loss: 3.4020 03/03 00:35:18 - mmengine - INFO - Epoch(train) [3][1400/5005] lr: 9.9901e-02 eta: 2 days, 6:48:57 time: 0.3643 data_time: 0.0046 loss: 3.2607 03/03 00:35:55 - mmengine - INFO - Epoch(train) [3][1500/5005] lr: 9.9901e-02 eta: 2 days, 6:46:02 time: 0.3873 data_time: 0.0044 loss: 3.2446 03/03 00:36:33 - mmengine - INFO - Epoch(train) [3][1600/5005] lr: 9.9901e-02 eta: 2 days, 6:43:11 time: 0.3753 data_time: 0.0045 loss: 3.3630 03/03 00:37:10 - mmengine - INFO - Epoch(train) [3][1700/5005] lr: 9.9901e-02 eta: 2 days, 6:40:31 time: 0.3594 data_time: 0.0043 loss: 3.2600 03/03 00:37:47 - mmengine - INFO - Epoch(train) [3][1800/5005] lr: 9.9901e-02 eta: 2 days, 6:37:42 time: 0.3634 data_time: 0.0044 loss: 2.9457 03/03 00:38:24 - mmengine - INFO - Epoch(train) [3][1900/5005] lr: 9.9901e-02 eta: 2 days, 6:35:03 time: 0.3841 data_time: 0.0046 loss: 3.3829 03/03 00:38:58 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 00:39:02 - mmengine - INFO - Epoch(train) [3][2000/5005] lr: 9.9901e-02 eta: 2 days, 6:32:16 time: 0.3776 data_time: 0.0043 loss: 3.2018 03/03 00:39:38 - mmengine - INFO - Epoch(train) [3][2100/5005] lr: 9.9901e-02 eta: 2 days, 6:29:17 time: 0.3880 data_time: 0.0044 loss: 3.1672 03/03 00:40:15 - mmengine - INFO - Epoch(train) [3][2200/5005] lr: 9.9901e-02 eta: 2 days, 6:26:33 time: 0.3888 data_time: 0.0037 loss: 3.1775 03/03 00:40:53 - mmengine - INFO - Epoch(train) [3][2300/5005] lr: 9.9901e-02 eta: 2 days, 6:23:52 time: 0.3699 data_time: 0.0043 loss: 3.0649 03/03 00:41:30 - mmengine - INFO - Epoch(train) [3][2400/5005] lr: 9.9901e-02 eta: 2 days, 6:21:24 time: 0.3746 data_time: 0.0049 loss: 3.0543 03/03 00:42:07 - mmengine - INFO - Epoch(train) [3][2500/5005] lr: 9.9901e-02 eta: 2 days, 6:19:00 time: 0.3612 data_time: 0.0050 loss: 3.0121 03/03 00:42:44 - mmengine - INFO - Epoch(train) [3][2600/5005] lr: 9.9901e-02 eta: 2 days, 6:16:22 time: 0.3793 data_time: 0.0040 loss: 3.2000 03/03 00:43:22 - mmengine - INFO - Epoch(train) [3][2700/5005] lr: 9.9901e-02 eta: 2 days, 6:14:02 time: 0.3990 data_time: 0.0045 loss: 3.0636 03/03 00:43:59 - mmengine - INFO - Epoch(train) [3][2800/5005] lr: 9.9901e-02 eta: 2 days, 6:11:23 time: 0.3662 data_time: 0.0044 loss: 3.0492 03/03 00:44:36 - mmengine - INFO - Epoch(train) [3][2900/5005] lr: 9.9901e-02 eta: 2 days, 6:09:04 time: 0.3777 data_time: 0.0040 loss: 3.1310 03/03 00:45:10 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 00:45:13 - mmengine - INFO - Epoch(train) [3][3000/5005] lr: 9.9901e-02 eta: 2 days, 6:06:42 time: 0.3666 data_time: 0.0042 loss: 2.9276 03/03 00:45:51 - mmengine - INFO - Epoch(train) [3][3100/5005] lr: 9.9901e-02 eta: 2 days, 6:04:29 time: 0.3789 data_time: 0.0049 loss: 3.2928 03/03 00:46:28 - mmengine - INFO - Epoch(train) [3][3200/5005] lr: 9.9901e-02 eta: 2 days, 6:02:11 time: 0.3624 data_time: 0.0039 loss: 3.0539 03/03 00:47:06 - mmengine - INFO - Epoch(train) [3][3300/5005] lr: 9.9901e-02 eta: 2 days, 6:00:01 time: 0.3910 data_time: 0.0045 loss: 3.0812 03/03 00:47:43 - mmengine - INFO - Epoch(train) [3][3400/5005] lr: 9.9901e-02 eta: 2 days, 5:57:36 time: 0.3712 data_time: 0.0050 loss: 2.8375 03/03 00:48:20 - mmengine - INFO - Epoch(train) [3][3500/5005] lr: 9.9901e-02 eta: 2 days, 5:55:32 time: 0.4043 data_time: 0.0042 loss: 2.9239 03/03 00:48:57 - mmengine - INFO - Epoch(train) [3][3600/5005] lr: 9.9901e-02 eta: 2 days, 5:53:09 time: 0.3850 data_time: 0.0051 loss: 2.8701 03/03 00:49:35 - mmengine - INFO - Epoch(train) [3][3700/5005] lr: 9.9901e-02 eta: 2 days, 5:51:04 time: 0.3545 data_time: 0.0048 loss: 2.8877 03/03 00:50:12 - mmengine - INFO - Epoch(train) [3][3800/5005] lr: 9.9901e-02 eta: 2 days, 5:48:54 time: 0.3657 data_time: 0.0042 loss: 2.9527 03/03 00:50:49 - mmengine - INFO - Epoch(train) [3][3900/5005] lr: 9.9901e-02 eta: 2 days, 5:46:36 time: 0.3774 data_time: 0.0043 loss: 3.2569 03/03 00:51:23 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 00:51:26 - mmengine - INFO - Epoch(train) [3][4000/5005] lr: 9.9901e-02 eta: 2 days, 5:44:30 time: 0.3653 data_time: 0.0046 loss: 3.1823 03/03 00:52:04 - mmengine - INFO - Epoch(train) [3][4100/5005] lr: 9.9901e-02 eta: 2 days, 5:42:31 time: 0.3817 data_time: 0.0047 loss: 3.0129 03/03 00:52:41 - mmengine - INFO - Epoch(train) [3][4200/5005] lr: 9.9901e-02 eta: 2 days, 5:40:21 time: 0.3697 data_time: 0.0041 loss: 2.8763 03/03 00:53:18 - mmengine - INFO - Epoch(train) [3][4300/5005] lr: 9.9901e-02 eta: 2 days, 5:38:15 time: 0.3661 data_time: 0.0042 loss: 3.1024 03/03 00:53:55 - mmengine - INFO - Epoch(train) [3][4400/5005] lr: 9.9901e-02 eta: 2 days, 5:35:57 time: 0.3709 data_time: 0.0045 loss: 2.8829 03/03 00:54:32 - mmengine - INFO - Epoch(train) [3][4500/5005] lr: 9.9901e-02 eta: 2 days, 5:33:53 time: 0.3728 data_time: 0.0045 loss: 3.1008 03/03 00:55:09 - mmengine - INFO - Epoch(train) [3][4600/5005] lr: 9.9901e-02 eta: 2 days, 5:31:57 time: 0.3780 data_time: 0.0040 loss: 3.0675 03/03 00:55:46 - mmengine - INFO - Epoch(train) [3][4700/5005] lr: 9.9901e-02 eta: 2 days, 5:29:44 time: 0.3626 data_time: 0.0042 loss: 2.9860 03/03 00:56:24 - mmengine - INFO - Epoch(train) [3][4800/5005] lr: 9.9901e-02 eta: 2 days, 5:27:52 time: 0.3808 data_time: 0.0048 loss: 3.0008 03/03 00:57:00 - mmengine - INFO - Epoch(train) [3][4900/5005] lr: 9.9901e-02 eta: 2 days, 5:25:22 time: 0.3421 data_time: 0.0038 loss: 2.9496 03/03 00:57:32 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 00:57:36 - mmengine - INFO - Epoch(train) [3][5000/5005] lr: 9.9901e-02 eta: 2 days, 5:22:41 time: 0.3618 data_time: 0.0040 loss: 2.9241 03/03 00:57:38 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 00:57:40 - mmengine - INFO - Saving checkpoint at 3 epochs 03/03 00:57:58 - mmengine - INFO - Epoch(val) [3][100/196] eta: 0:00:16 time: 0.0485 data_time: 0.0003 03/03 00:58:15 - mmengine - INFO - Epoch(val) [3][196/196] accuracy/top1: 40.1260 accuracy/top5: 66.5320 03/03 00:59:01 - mmengine - INFO - Epoch(train) [4][ 100/5005] lr: 9.9778e-02 eta: 2 days, 5:25:26 time: 0.3702 data_time: 0.0041 loss: 2.7723 03/03 00:59:38 - mmengine - INFO - Epoch(train) [4][ 200/5005] lr: 9.9778e-02 eta: 2 days, 5:23:39 time: 0.4109 data_time: 0.0040 loss: 2.8950 03/03 01:00:15 - mmengine - INFO - Epoch(train) [4][ 300/5005] lr: 9.9778e-02 eta: 2 days, 5:21:38 time: 0.3743 data_time: 0.0039 loss: 2.7140 03/03 01:00:52 - mmengine - INFO - Epoch(train) [4][ 400/5005] lr: 9.9778e-02 eta: 2 days, 5:19:36 time: 0.3607 data_time: 0.0045 loss: 2.9030 03/03 01:01:30 - mmengine - INFO - Epoch(train) [4][ 500/5005] lr: 9.9778e-02 eta: 2 days, 5:17:49 time: 0.3630 data_time: 0.0046 loss: 2.8779 03/03 01:02:07 - mmengine - INFO - Epoch(train) [4][ 600/5005] lr: 9.9778e-02 eta: 2 days, 5:16:05 time: 0.3757 data_time: 0.0044 loss: 3.1788 03/03 01:02:45 - mmengine - INFO - Epoch(train) [4][ 700/5005] lr: 9.9778e-02 eta: 2 days, 5:14:19 time: 0.3551 data_time: 0.0043 loss: 2.7261 03/03 01:03:22 - mmengine - INFO - Epoch(train) [4][ 800/5005] lr: 9.9778e-02 eta: 2 days, 5:12:23 time: 0.3750 data_time: 0.0040 loss: 2.7703 03/03 01:03:59 - mmengine - INFO - Epoch(train) [4][ 900/5005] lr: 9.9778e-02 eta: 2 days, 5:10:46 time: 0.3819 data_time: 0.0045 loss: 2.9238 03/03 01:04:31 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 01:04:37 - mmengine - INFO - Epoch(train) [4][1000/5005] lr: 9.9778e-02 eta: 2 days, 5:09:00 time: 0.3760 data_time: 0.0043 loss: 3.0144 03/03 01:05:14 - mmengine - INFO - Epoch(train) [4][1100/5005] lr: 9.9778e-02 eta: 2 days, 5:07:24 time: 0.3665 data_time: 0.0047 loss: 2.9148 03/03 01:05:51 - mmengine - INFO - Epoch(train) [4][1200/5005] lr: 9.9778e-02 eta: 2 days, 5:05:32 time: 0.3621 data_time: 0.0047 loss: 2.8858 03/03 01:06:28 - mmengine - INFO - Epoch(train) [4][1300/5005] lr: 9.9778e-02 eta: 2 days, 5:03:38 time: 0.3657 data_time: 0.0042 loss: 3.0098 03/03 01:07:06 - mmengine - INFO - Epoch(train) [4][1400/5005] lr: 9.9778e-02 eta: 2 days, 5:01:59 time: 0.3657 data_time: 0.0045 loss: 2.9277 03/03 01:07:43 - mmengine - INFO - Epoch(train) [4][1500/5005] lr: 9.9778e-02 eta: 2 days, 5:00:12 time: 0.3642 data_time: 0.0052 loss: 2.8424 03/03 01:08:20 - mmengine - INFO - Epoch(train) [4][1600/5005] lr: 9.9778e-02 eta: 2 days, 4:58:29 time: 0.3752 data_time: 0.0041 loss: 2.8805 03/03 01:08:57 - mmengine - INFO - Epoch(train) [4][1700/5005] lr: 9.9778e-02 eta: 2 days, 4:56:46 time: 0.3850 data_time: 0.0042 loss: 2.5916 03/03 01:09:34 - mmengine - INFO - Epoch(train) [4][1800/5005] lr: 9.9778e-02 eta: 2 days, 4:55:01 time: 0.3731 data_time: 0.0041 loss: 2.7888 03/03 01:10:12 - mmengine - INFO - Epoch(train) [4][1900/5005] lr: 9.9778e-02 eta: 2 days, 4:53:20 time: 0.3620 data_time: 0.0040 loss: 2.9160 03/03 01:10:43 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 01:10:49 - mmengine - INFO - Epoch(train) [4][2000/5005] lr: 9.9778e-02 eta: 2 days, 4:51:47 time: 0.3727 data_time: 0.0042 loss: 2.7456 03/03 01:11:26 - mmengine - INFO - Epoch(train) [4][2100/5005] lr: 9.9778e-02 eta: 2 days, 4:50:09 time: 0.3744 data_time: 0.0041 loss: 2.9136 03/03 01:12:04 - mmengine - INFO - Epoch(train) [4][2200/5005] lr: 9.9778e-02 eta: 2 days, 4:48:39 time: 0.3641 data_time: 0.0040 loss: 2.9684 03/03 01:12:41 - mmengine - INFO - Epoch(train) [4][2300/5005] lr: 9.9778e-02 eta: 2 days, 4:46:50 time: 0.3768 data_time: 0.0043 loss: 2.8781 03/03 01:13:18 - mmengine - INFO - Epoch(train) [4][2400/5005] lr: 9.9778e-02 eta: 2 days, 4:45:10 time: 0.3804 data_time: 0.0037 loss: 2.7828 03/03 01:13:55 - mmengine - INFO - Epoch(train) [4][2500/5005] lr: 9.9778e-02 eta: 2 days, 4:43:27 time: 0.3642 data_time: 0.0043 loss: 2.5877 03/03 01:14:33 - mmengine - INFO - Epoch(train) [4][2600/5005] lr: 9.9778e-02 eta: 2 days, 4:42:07 time: 0.3664 data_time: 0.0048 loss: 2.6689 03/03 01:15:10 - mmengine - INFO - Epoch(train) [4][2700/5005] lr: 9.9778e-02 eta: 2 days, 4:40:28 time: 0.3623 data_time: 0.0042 loss: 2.9458 03/03 01:15:47 - mmengine - INFO - Epoch(train) [4][2800/5005] lr: 9.9778e-02 eta: 2 days, 4:38:56 time: 0.3742 data_time: 0.0045 loss: 2.9598 03/03 01:16:24 - mmengine - INFO - Epoch(train) [4][2900/5005] lr: 9.9778e-02 eta: 2 days, 4:37:11 time: 0.3662 data_time: 0.0043 loss: 2.6993 03/03 01:16:56 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 01:17:01 - mmengine - INFO - Epoch(train) [4][3000/5005] lr: 9.9778e-02 eta: 2 days, 4:35:41 time: 0.3540 data_time: 0.0046 loss: 2.8081 03/03 01:17:39 - mmengine - INFO - Epoch(train) [4][3100/5005] lr: 9.9778e-02 eta: 2 days, 4:34:07 time: 0.3677 data_time: 0.0042 loss: 2.7418 03/03 01:18:16 - mmengine - INFO - Epoch(train) [4][3200/5005] lr: 9.9778e-02 eta: 2 days, 4:32:31 time: 0.3707 data_time: 0.0046 loss: 2.7330 03/03 01:18:53 - mmengine - INFO - Epoch(train) [4][3300/5005] lr: 9.9778e-02 eta: 2 days, 4:30:56 time: 0.3590 data_time: 0.0045 loss: 2.6430 03/03 01:19:30 - mmengine - INFO - Epoch(train) [4][3400/5005] lr: 9.9778e-02 eta: 2 days, 4:29:31 time: 0.3760 data_time: 0.0042 loss: 2.8344 03/03 01:20:08 - mmengine - INFO - Epoch(train) [4][3500/5005] lr: 9.9778e-02 eta: 2 days, 4:28:00 time: 0.3653 data_time: 0.0042 loss: 2.6919 03/03 01:20:45 - mmengine - INFO - Epoch(train) [4][3600/5005] lr: 9.9778e-02 eta: 2 days, 4:26:28 time: 0.3906 data_time: 0.0045 loss: 2.6428 03/03 01:21:22 - mmengine - INFO - Epoch(train) [4][3700/5005] lr: 9.9778e-02 eta: 2 days, 4:24:55 time: 0.3676 data_time: 0.0046 loss: 2.5262 03/03 01:22:00 - mmengine - INFO - Epoch(train) [4][3800/5005] lr: 9.9778e-02 eta: 2 days, 4:23:40 time: 0.3886 data_time: 0.0043 loss: 2.6696 03/03 01:22:37 - mmengine - INFO - Epoch(train) [4][3900/5005] lr: 9.9778e-02 eta: 2 days, 4:22:06 time: 0.3778 data_time: 0.0042 loss: 3.0757 03/03 01:23:08 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 01:23:14 - mmengine - INFO - Epoch(train) [4][4000/5005] lr: 9.9778e-02 eta: 2 days, 4:20:47 time: 0.3802 data_time: 0.0044 loss: 2.7389 03/03 01:23:51 - mmengine - INFO - Epoch(train) [4][4100/5005] lr: 9.9778e-02 eta: 2 days, 4:19:20 time: 0.3643 data_time: 0.0042 loss: 3.1045 03/03 01:24:29 - mmengine - INFO - Epoch(train) [4][4200/5005] lr: 9.9778e-02 eta: 2 days, 4:18:03 time: 0.3753 data_time: 0.0045 loss: 2.8619 03/03 01:25:06 - mmengine - INFO - Epoch(train) [4][4300/5005] lr: 9.9778e-02 eta: 2 days, 4:16:42 time: 0.3675 data_time: 0.0045 loss: 2.8908 03/03 01:25:44 - mmengine - INFO - Epoch(train) [4][4400/5005] lr: 9.9778e-02 eta: 2 days, 4:15:18 time: 0.3611 data_time: 0.0045 loss: 2.9079 03/03 01:26:21 - mmengine - INFO - Epoch(train) [4][4500/5005] lr: 9.9778e-02 eta: 2 days, 4:13:53 time: 0.3794 data_time: 0.0044 loss: 2.8960 03/03 01:26:58 - mmengine - INFO - Epoch(train) [4][4600/5005] lr: 9.9778e-02 eta: 2 days, 4:12:33 time: 0.3839 data_time: 0.0048 loss: 2.6319 03/03 01:27:36 - mmengine - INFO - Epoch(train) [4][4700/5005] lr: 9.9778e-02 eta: 2 days, 4:11:12 time: 0.3629 data_time: 0.0050 loss: 2.7292 03/03 01:28:13 - mmengine - INFO - Epoch(train) [4][4800/5005] lr: 9.9778e-02 eta: 2 days, 4:09:50 time: 0.3568 data_time: 0.0040 loss: 2.6938 03/03 01:28:50 - mmengine - INFO - Epoch(train) [4][4900/5005] lr: 9.9778e-02 eta: 2 days, 4:08:13 time: 0.3555 data_time: 0.0040 loss: 2.6514 03/03 01:29:20 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 01:29:25 - mmengine - INFO - Epoch(train) [4][5000/5005] lr: 9.9778e-02 eta: 2 days, 4:06:10 time: 0.3590 data_time: 0.0046 loss: 2.5155 03/03 01:29:27 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 01:29:30 - mmengine - INFO - Saving checkpoint at 4 epochs 03/03 01:29:46 - mmengine - INFO - Epoch(val) [4][100/196] eta: 0:00:14 time: 0.0532 data_time: 0.0006 03/03 01:30:03 - mmengine - INFO - Epoch(val) [4][196/196] accuracy/top1: 44.8900 accuracy/top5: 71.4520 03/03 01:30:49 - mmengine - INFO - Epoch(train) [5][ 100/5005] lr: 9.9606e-02 eta: 2 days, 4:08:15 time: 0.3590 data_time: 0.0042 loss: 2.9246 03/03 01:31:27 - mmengine - INFO - Epoch(train) [5][ 200/5005] lr: 9.9606e-02 eta: 2 days, 4:07:07 time: 0.3560 data_time: 0.0044 loss: 2.2454 03/03 01:32:04 - mmengine - INFO - Epoch(train) [5][ 300/5005] lr: 9.9606e-02 eta: 2 days, 4:05:38 time: 0.3702 data_time: 0.0041 loss: 2.7958 03/03 01:32:42 - mmengine - INFO - Epoch(train) [5][ 400/5005] lr: 9.9606e-02 eta: 2 days, 4:04:25 time: 0.3598 data_time: 0.0044 loss: 2.7055 03/03 01:33:18 - mmengine - INFO - Epoch(train) [5][ 500/5005] lr: 9.9606e-02 eta: 2 days, 4:02:55 time: 0.3581 data_time: 0.0044 loss: 2.7745 03/03 01:33:56 - mmengine - INFO - Epoch(train) [5][ 600/5005] lr: 9.9606e-02 eta: 2 days, 4:01:29 time: 0.3600 data_time: 0.0049 loss: 2.7775 03/03 01:34:33 - mmengine - INFO - Epoch(train) [5][ 700/5005] lr: 9.9606e-02 eta: 2 days, 4:00:20 time: 0.3943 data_time: 0.0045 loss: 2.6574 03/03 01:35:10 - mmengine - INFO - Epoch(train) [5][ 800/5005] lr: 9.9606e-02 eta: 2 days, 3:58:53 time: 0.3720 data_time: 0.0042 loss: 2.7303 03/03 01:35:48 - mmengine - INFO - Epoch(train) [5][ 900/5005] lr: 9.9606e-02 eta: 2 days, 3:57:53 time: 0.3629 data_time: 0.0044 loss: 2.7808 03/03 01:36:18 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 01:36:26 - mmengine - INFO - Epoch(train) [5][1000/5005] lr: 9.9606e-02 eta: 2 days, 3:56:34 time: 0.3897 data_time: 0.0041 loss: 2.8158 03/03 01:37:02 - mmengine - INFO - Epoch(train) [5][1100/5005] lr: 9.9606e-02 eta: 2 days, 3:55:06 time: 0.3811 data_time: 0.0040 loss: 2.7581 03/03 01:37:40 - mmengine - INFO - Epoch(train) [5][1200/5005] lr: 9.9606e-02 eta: 2 days, 3:53:53 time: 0.3721 data_time: 0.0044 loss: 2.7287 03/03 01:38:17 - mmengine - INFO - Epoch(train) [5][1300/5005] lr: 9.9606e-02 eta: 2 days, 3:52:33 time: 0.3612 data_time: 0.0046 loss: 2.6512 03/03 01:38:55 - mmengine - INFO - Epoch(train) [5][1400/5005] lr: 9.9606e-02 eta: 2 days, 3:51:20 time: 0.3709 data_time: 0.0041 loss: 2.7397 03/03 01:39:32 - mmengine - INFO - Epoch(train) [5][1500/5005] lr: 9.9606e-02 eta: 2 days, 3:50:05 time: 0.3567 data_time: 0.0047 loss: 2.6257 03/03 01:40:09 - mmengine - INFO - Epoch(train) [5][1600/5005] lr: 9.9606e-02 eta: 2 days, 3:48:47 time: 0.3556 data_time: 0.0041 loss: 2.7969 03/03 01:40:46 - mmengine - INFO - Epoch(train) [5][1700/5005] lr: 9.9606e-02 eta: 2 days, 3:47:33 time: 0.3644 data_time: 0.0040 loss: 2.7855 03/03 01:41:24 - mmengine - INFO - Epoch(train) [5][1800/5005] lr: 9.9606e-02 eta: 2 days, 3:46:18 time: 0.3730 data_time: 0.0041 loss: 2.6504 03/03 01:42:01 - mmengine - INFO - Epoch(train) [5][1900/5005] lr: 9.9606e-02 eta: 2 days, 3:45:10 time: 0.3776 data_time: 0.0041 loss: 2.6238 03/03 01:42:31 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 01:42:39 - mmengine - INFO - Epoch(train) [5][2000/5005] lr: 9.9606e-02 eta: 2 days, 3:44:03 time: 0.3780 data_time: 0.0039 loss: 2.9319 03/03 01:43:16 - mmengine - INFO - Epoch(train) [5][2100/5005] lr: 9.9606e-02 eta: 2 days, 3:42:50 time: 0.3779 data_time: 0.0049 loss: 2.5588 03/03 01:43:54 - mmengine - INFO - Epoch(train) [5][2200/5005] lr: 9.9606e-02 eta: 2 days, 3:41:40 time: 0.3661 data_time: 0.0041 loss: 2.8887 03/03 01:44:31 - mmengine - INFO - Epoch(train) [5][2300/5005] lr: 9.9606e-02 eta: 2 days, 3:40:29 time: 0.3609 data_time: 0.0046 loss: 2.7003 03/03 01:45:08 - mmengine - INFO - Epoch(train) [5][2400/5005] lr: 9.9606e-02 eta: 2 days, 3:39:14 time: 0.3613 data_time: 0.0047 loss: 2.5751 03/03 01:45:46 - mmengine - INFO - Epoch(train) [5][2500/5005] lr: 9.9606e-02 eta: 2 days, 3:37:57 time: 0.3604 data_time: 0.0050 loss: 2.6358 03/03 01:46:23 - mmengine - INFO - Epoch(train) [5][2600/5005] lr: 9.9606e-02 eta: 2 days, 3:36:37 time: 0.3745 data_time: 0.0045 loss: 2.7760 03/03 01:47:00 - mmengine - INFO - Epoch(train) [5][2700/5005] lr: 9.9606e-02 eta: 2 days, 3:35:27 time: 0.3674 data_time: 0.0047 loss: 2.9958 03/03 01:47:38 - mmengine - INFO - Epoch(train) [5][2800/5005] lr: 9.9606e-02 eta: 2 days, 3:34:25 time: 0.3835 data_time: 0.0048 loss: 3.0018 03/03 01:48:15 - mmengine - INFO - Epoch(train) [5][2900/5005] lr: 9.9606e-02 eta: 2 days, 3:33:09 time: 0.3689 data_time: 0.0044 loss: 2.5273 03/03 01:48:45 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 01:48:52 - mmengine - INFO - Epoch(train) [5][3000/5005] lr: 9.9606e-02 eta: 2 days, 3:32:02 time: 0.3581 data_time: 0.0045 loss: 2.6770 03/03 01:49:30 - mmengine - INFO - Epoch(train) [5][3100/5005] lr: 9.9606e-02 eta: 2 days, 3:31:03 time: 0.4007 data_time: 0.0046 loss: 2.7396 03/03 01:50:07 - mmengine - INFO - Epoch(train) [5][3200/5005] lr: 9.9606e-02 eta: 2 days, 3:29:50 time: 0.3896 data_time: 0.0050 loss: 2.6034 03/03 01:50:45 - mmengine - INFO - Epoch(train) [5][3300/5005] lr: 9.9606e-02 eta: 2 days, 3:28:49 time: 0.3861 data_time: 0.0050 loss: 2.6090 03/03 01:51:22 - mmengine - INFO - Epoch(train) [5][3400/5005] lr: 9.9606e-02 eta: 2 days, 3:27:34 time: 0.3790 data_time: 0.0045 loss: 2.6759 03/03 01:52:00 - mmengine - INFO - Epoch(train) [5][3500/5005] lr: 9.9606e-02 eta: 2 days, 3:26:28 time: 0.3682 data_time: 0.0047 loss: 2.6141 03/03 01:52:37 - mmengine - INFO - Epoch(train) [5][3600/5005] lr: 9.9606e-02 eta: 2 days, 3:25:18 time: 0.3656 data_time: 0.0044 loss: 2.6863 03/03 01:53:14 - mmengine - INFO - Epoch(train) [5][3700/5005] lr: 9.9606e-02 eta: 2 days, 3:24:06 time: 0.3659 data_time: 0.0046 loss: 2.7464 03/03 01:53:52 - mmengine - INFO - Epoch(train) [5][3800/5005] lr: 9.9606e-02 eta: 2 days, 3:22:57 time: 0.3732 data_time: 0.0044 loss: 2.5769 03/03 01:54:29 - mmengine - INFO - Epoch(train) [5][3900/5005] lr: 9.9606e-02 eta: 2 days, 3:21:48 time: 0.3724 data_time: 0.0050 loss: 2.7651 03/03 01:54:59 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 01:55:06 - mmengine - INFO - Epoch(train) [5][4000/5005] lr: 9.9606e-02 eta: 2 days, 3:20:34 time: 0.3595 data_time: 0.0052 loss: 2.7113 03/03 01:55:43 - mmengine - INFO - Epoch(train) [5][4100/5005] lr: 9.9606e-02 eta: 2 days, 3:19:30 time: 0.3705 data_time: 0.0045 loss: 2.7135 03/03 01:56:21 - mmengine - INFO - Epoch(train) [5][4200/5005] lr: 9.9606e-02 eta: 2 days, 3:18:25 time: 0.3884 data_time: 0.0046 loss: 2.5368 03/03 01:56:58 - mmengine - INFO - Epoch(train) [5][4300/5005] lr: 9.9606e-02 eta: 2 days, 3:17:19 time: 0.3770 data_time: 0.0043 loss: 2.5176 03/03 01:57:35 - mmengine - INFO - Epoch(train) [5][4400/5005] lr: 9.9606e-02 eta: 2 days, 3:16:07 time: 0.3746 data_time: 0.0046 loss: 2.3957 03/03 01:58:13 - mmengine - INFO - Epoch(train) [5][4500/5005] lr: 9.9606e-02 eta: 2 days, 3:15:03 time: 0.3976 data_time: 0.0048 loss: 2.5570 03/03 01:58:50 - mmengine - INFO - Epoch(train) [5][4600/5005] lr: 9.9606e-02 eta: 2 days, 3:13:49 time: 0.3676 data_time: 0.0049 loss: 2.4777 03/03 01:59:26 - mmengine - INFO - Epoch(train) [5][4700/5005] lr: 9.9606e-02 eta: 2 days, 3:12:31 time: 0.3556 data_time: 0.0045 loss: 2.5438 03/03 02:00:04 - mmengine - INFO - Epoch(train) [5][4800/5005] lr: 9.9606e-02 eta: 2 days, 3:11:20 time: 0.3597 data_time: 0.0048 loss: 2.6357 03/03 02:00:41 - mmengine - INFO - Epoch(train) [5][4900/5005] lr: 9.9606e-02 eta: 2 days, 3:10:14 time: 0.3516 data_time: 0.0039 loss: 2.6522 03/03 02:01:09 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 02:01:16 - mmengine - INFO - Epoch(train) [5][5000/5005] lr: 9.9606e-02 eta: 2 days, 3:08:29 time: 0.3521 data_time: 0.0047 loss: 2.6340 03/03 02:01:18 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 02:01:21 - mmengine - INFO - Saving checkpoint at 5 epochs 03/03 02:01:37 - mmengine - INFO - Epoch(val) [5][100/196] eta: 0:00:14 time: 0.0455 data_time: 0.0003 03/03 02:01:54 - mmengine - INFO - Epoch(val) [5][196/196] accuracy/top1: 46.1680 accuracy/top5: 72.0560 03/03 02:02:40 - mmengine - INFO - Epoch(train) [6][ 100/5005] lr: 9.9384e-02 eta: 2 days, 3:09:58 time: 0.3689 data_time: 0.0041 loss: 2.3842 03/03 02:03:18 - mmengine - INFO - Epoch(train) [6][ 200/5005] lr: 9.9384e-02 eta: 2 days, 3:09:01 time: 0.3644 data_time: 0.0046 loss: 2.5452 03/03 02:03:54 - mmengine - INFO - Epoch(train) [6][ 300/5005] lr: 9.9384e-02 eta: 2 days, 3:07:45 time: 0.3577 data_time: 0.0043 loss: 2.6663 03/03 02:04:31 - mmengine - INFO - Epoch(train) [6][ 400/5005] lr: 9.9384e-02 eta: 2 days, 3:06:28 time: 0.3593 data_time: 0.0040 loss: 2.4578 03/03 02:05:08 - mmengine - INFO - Epoch(train) [6][ 500/5005] lr: 9.9384e-02 eta: 2 days, 3:05:10 time: 0.3585 data_time: 0.0049 loss: 2.4776 03/03 02:05:45 - mmengine - INFO - Epoch(train) [6][ 600/5005] lr: 9.9384e-02 eta: 2 days, 3:03:59 time: 0.3602 data_time: 0.0045 loss: 2.4727 03/03 02:06:22 - mmengine - INFO - Epoch(train) [6][ 700/5005] lr: 9.9384e-02 eta: 2 days, 3:02:48 time: 0.3581 data_time: 0.0042 loss: 2.5828 03/03 02:06:58 - mmengine - INFO - Epoch(train) [6][ 800/5005] lr: 9.9384e-02 eta: 2 days, 3:01:31 time: 0.3653 data_time: 0.0046 loss: 2.5594 03/03 02:07:36 - mmengine - INFO - Epoch(train) [6][ 900/5005] lr: 9.9384e-02 eta: 2 days, 3:00:30 time: 0.3606 data_time: 0.0044 loss: 2.7251 03/03 02:08:04 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 02:08:13 - mmengine - INFO - Epoch(train) [6][1000/5005] lr: 9.9384e-02 eta: 2 days, 2:59:30 time: 0.3975 data_time: 0.0044 loss: 2.3476 03/03 02:08:51 - mmengine - INFO - Epoch(train) [6][1100/5005] lr: 9.9384e-02 eta: 2 days, 2:58:22 time: 0.3807 data_time: 0.0040 loss: 2.4497 03/03 02:09:28 - mmengine - INFO - Epoch(train) [6][1200/5005] lr: 9.9384e-02 eta: 2 days, 2:57:25 time: 0.3774 data_time: 0.0042 loss: 2.5680 03/03 02:10:05 - mmengine - INFO - Epoch(train) [6][1300/5005] lr: 9.9384e-02 eta: 2 days, 2:56:12 time: 0.3657 data_time: 0.0040 loss: 2.6499 03/03 02:10:42 - mmengine - INFO - Epoch(train) [6][1400/5005] lr: 9.9384e-02 eta: 2 days, 2:55:05 time: 0.3725 data_time: 0.0053 loss: 2.5246 03/03 02:11:19 - mmengine - INFO - Epoch(train) [6][1500/5005] lr: 9.9384e-02 eta: 2 days, 2:53:55 time: 0.3578 data_time: 0.0043 loss: 2.4350 03/03 02:11:56 - mmengine - INFO - Epoch(train) [6][1600/5005] lr: 9.9384e-02 eta: 2 days, 2:52:52 time: 0.3702 data_time: 0.0046 loss: 2.6283 03/03 02:12:34 - mmengine - INFO - Epoch(train) [6][1700/5005] lr: 9.9384e-02 eta: 2 days, 2:51:50 time: 0.3639 data_time: 0.0043 loss: 2.4348 03/03 02:13:11 - mmengine - INFO - Epoch(train) [6][1800/5005] lr: 9.9384e-02 eta: 2 days, 2:50:44 time: 0.4116 data_time: 0.0042 loss: 2.4924 03/03 02:13:48 - mmengine - INFO - Epoch(train) [6][1900/5005] lr: 9.9384e-02 eta: 2 days, 2:49:41 time: 0.3750 data_time: 0.0039 loss: 2.4456 03/03 02:14:16 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 02:14:25 - mmengine - INFO - Epoch(train) [6][2000/5005] lr: 9.9384e-02 eta: 2 days, 2:48:37 time: 0.3812 data_time: 0.0047 loss: 2.6752 03/03 02:15:02 - mmengine - INFO - Epoch(train) [6][2100/5005] lr: 9.9384e-02 eta: 2 days, 2:47:29 time: 0.3770 data_time: 0.0048 loss: 2.7274 03/03 02:15:40 - mmengine - INFO - Epoch(train) [6][2200/5005] lr: 9.9384e-02 eta: 2 days, 2:46:32 time: 0.3777 data_time: 0.0042 loss: 2.7263 03/03 02:16:17 - mmengine - INFO - Epoch(train) [6][2300/5005] lr: 9.9384e-02 eta: 2 days, 2:45:22 time: 0.3614 data_time: 0.0043 loss: 2.6561 03/03 02:16:54 - mmengine - INFO - Epoch(train) [6][2400/5005] lr: 9.9384e-02 eta: 2 days, 2:44:22 time: 0.3741 data_time: 0.0048 loss: 2.6365 03/03 02:17:31 - mmengine - INFO - Epoch(train) [6][2500/5005] lr: 9.9384e-02 eta: 2 days, 2:43:24 time: 0.3768 data_time: 0.0042 loss: 2.5313 03/03 02:18:09 - mmengine - INFO - Epoch(train) [6][2600/5005] lr: 9.9384e-02 eta: 2 days, 2:42:19 time: 0.3780 data_time: 0.0044 loss: 2.3613 03/03 02:18:46 - mmengine - INFO - Epoch(train) [6][2700/5005] lr: 9.9384e-02 eta: 2 days, 2:41:21 time: 0.3768 data_time: 0.0042 loss: 2.4311 03/03 02:19:23 - mmengine - INFO - Epoch(train) [6][2800/5005] lr: 9.9384e-02 eta: 2 days, 2:40:17 time: 0.3806 data_time: 0.0045 loss: 2.6510 03/03 02:20:00 - mmengine - INFO - Epoch(train) [6][2900/5005] lr: 9.9384e-02 eta: 2 days, 2:39:10 time: 0.3594 data_time: 0.0044 loss: 2.5990 03/03 02:20:28 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 02:20:38 - mmengine - INFO - Epoch(train) [6][3000/5005] lr: 9.9384e-02 eta: 2 days, 2:38:17 time: 0.3676 data_time: 0.0042 loss: 2.5636 03/03 02:21:15 - mmengine - INFO - Epoch(train) [6][3100/5005] lr: 9.9384e-02 eta: 2 days, 2:37:12 time: 0.3803 data_time: 0.0044 loss: 2.6035 03/03 02:21:52 - mmengine - INFO - Epoch(train) [6][3200/5005] lr: 9.9384e-02 eta: 2 days, 2:36:10 time: 0.3668 data_time: 0.0049 loss: 2.5118 03/03 02:22:29 - mmengine - INFO - Epoch(train) [6][3300/5005] lr: 9.9384e-02 eta: 2 days, 2:35:13 time: 0.3681 data_time: 0.0046 loss: 2.6310 03/03 02:23:06 - mmengine - INFO - Epoch(train) [6][3400/5005] lr: 9.9384e-02 eta: 2 days, 2:34:05 time: 0.3625 data_time: 0.0049 loss: 2.5464 03/03 02:23:44 - mmengine - INFO - Epoch(train) [6][3500/5005] lr: 9.9384e-02 eta: 2 days, 2:33:07 time: 0.3771 data_time: 0.0040 loss: 2.5730 03/03 02:24:21 - mmengine - INFO - Epoch(train) [6][3600/5005] lr: 9.9384e-02 eta: 2 days, 2:32:06 time: 0.3943 data_time: 0.0040 loss: 2.4190 03/03 02:24:58 - mmengine - INFO - Epoch(train) [6][3700/5005] lr: 9.9384e-02 eta: 2 days, 2:31:04 time: 0.3693 data_time: 0.0045 loss: 2.5280 03/03 02:25:35 - mmengine - INFO - Epoch(train) [6][3800/5005] lr: 9.9384e-02 eta: 2 days, 2:30:04 time: 0.3710 data_time: 0.0044 loss: 2.4693 03/03 02:26:12 - mmengine - INFO - Epoch(train) [6][3900/5005] lr: 9.9384e-02 eta: 2 days, 2:29:04 time: 0.3787 data_time: 0.0042 loss: 2.6379 03/03 02:26:40 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 02:26:49 - mmengine - INFO - Epoch(train) [6][4000/5005] lr: 9.9384e-02 eta: 2 days, 2:27:59 time: 0.3568 data_time: 0.0044 loss: 2.8366 03/03 02:27:26 - mmengine - INFO - Epoch(train) [6][4100/5005] lr: 9.9384e-02 eta: 2 days, 2:26:54 time: 0.3604 data_time: 0.0045 loss: 2.2986 03/03 02:28:03 - mmengine - INFO - Epoch(train) [6][4200/5005] lr: 9.9384e-02 eta: 2 days, 2:25:51 time: 0.3662 data_time: 0.0041 loss: 2.4109 03/03 02:28:40 - mmengine - INFO - Epoch(train) [6][4300/5005] lr: 9.9384e-02 eta: 2 days, 2:24:48 time: 0.3613 data_time: 0.0043 loss: 2.4649 03/03 02:29:18 - mmengine - INFO - Epoch(train) [6][4400/5005] lr: 9.9384e-02 eta: 2 days, 2:23:49 time: 0.3996 data_time: 0.0041 loss: 2.5881 03/03 02:29:55 - mmengine - INFO - Epoch(train) [6][4500/5005] lr: 9.9384e-02 eta: 2 days, 2:22:51 time: 0.3651 data_time: 0.0055 loss: 2.7443 03/03 02:30:32 - mmengine - INFO - Epoch(train) [6][4600/5005] lr: 9.9384e-02 eta: 2 days, 2:21:50 time: 0.3607 data_time: 0.0043 loss: 2.5434 03/03 02:31:09 - mmengine - INFO - Epoch(train) [6][4700/5005] lr: 9.9384e-02 eta: 2 days, 2:20:51 time: 0.3605 data_time: 0.0046 loss: 2.3831 03/03 02:31:47 - mmengine - INFO - Epoch(train) [6][4800/5005] lr: 9.9384e-02 eta: 2 days, 2:20:01 time: 0.3835 data_time: 0.0047 loss: 2.5105 03/03 02:32:24 - mmengine - INFO - Epoch(train) [6][4900/5005] lr: 9.9384e-02 eta: 2 days, 2:18:56 time: 0.3582 data_time: 0.0042 loss: 2.6730 03/03 02:32:51 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 02:32:59 - mmengine - INFO - Epoch(train) [6][5000/5005] lr: 9.9384e-02 eta: 2 days, 2:17:32 time: 0.3548 data_time: 0.0039 loss: 2.6151 03/03 02:33:01 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 02:33:04 - mmengine - INFO - Saving checkpoint at 6 epochs 03/03 02:33:21 - mmengine - INFO - Epoch(val) [6][100/196] eta: 0:00:15 time: 0.0466 data_time: 0.0002 03/03 02:33:38 - mmengine - INFO - Epoch(val) [6][196/196] accuracy/top1: 47.7080 accuracy/top5: 74.0840 03/03 02:34:24 - mmengine - INFO - Epoch(train) [7][ 100/5005] lr: 9.9114e-02 eta: 2 days, 2:18:43 time: 0.3820 data_time: 0.0042 loss: 2.6391 03/03 02:35:01 - mmengine - INFO - Epoch(train) [7][ 200/5005] lr: 9.9114e-02 eta: 2 days, 2:17:44 time: 0.3631 data_time: 0.0041 loss: 2.3828 03/03 02:35:38 - mmengine - INFO - Epoch(train) [7][ 300/5005] lr: 9.9114e-02 eta: 2 days, 2:16:48 time: 0.3542 data_time: 0.0041 loss: 2.3575 03/03 02:36:16 - mmengine - INFO - Epoch(train) [7][ 400/5005] lr: 9.9114e-02 eta: 2 days, 2:15:58 time: 0.3672 data_time: 0.0040 loss: 2.8794 03/03 02:36:53 - mmengine - INFO - Epoch(train) [7][ 500/5005] lr: 9.9114e-02 eta: 2 days, 2:14:52 time: 0.4083 data_time: 0.0043 loss: 2.5832 03/03 02:37:29 - mmengine - INFO - Epoch(train) [7][ 600/5005] lr: 9.9114e-02 eta: 2 days, 2:13:46 time: 0.3614 data_time: 0.0046 loss: 2.5258 03/03 02:38:07 - mmengine - INFO - Epoch(train) [7][ 700/5005] lr: 9.9114e-02 eta: 2 days, 2:12:53 time: 0.3744 data_time: 0.0041 loss: 2.4892 03/03 02:38:44 - mmengine - INFO - Epoch(train) [7][ 800/5005] lr: 9.9114e-02 eta: 2 days, 2:11:51 time: 0.3656 data_time: 0.0041 loss: 2.4846 03/03 02:39:21 - mmengine - INFO - Epoch(train) [7][ 900/5005] lr: 9.9114e-02 eta: 2 days, 2:10:48 time: 0.3605 data_time: 0.0040 loss: 2.7439 03/03 02:39:46 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 02:39:58 - mmengine - INFO - Epoch(train) [7][1000/5005] lr: 9.9114e-02 eta: 2 days, 2:09:52 time: 0.3578 data_time: 0.0043 loss: 2.4228 03/03 02:40:35 - mmengine - INFO - Epoch(train) [7][1100/5005] lr: 9.9114e-02 eta: 2 days, 2:08:45 time: 0.3636 data_time: 0.0042 loss: 2.3530 03/03 02:41:12 - mmengine - INFO - Epoch(train) [7][1200/5005] lr: 9.9114e-02 eta: 2 days, 2:07:46 time: 0.3672 data_time: 0.0042 loss: 2.4136 03/03 02:41:48 - mmengine - INFO - Epoch(train) [7][1300/5005] lr: 9.9114e-02 eta: 2 days, 2:06:36 time: 0.3598 data_time: 0.0038 loss: 2.5987 03/03 02:42:25 - mmengine - INFO - Epoch(train) [7][1400/5005] lr: 9.9114e-02 eta: 2 days, 2:05:38 time: 0.3784 data_time: 0.0043 loss: 2.3633 03/03 02:43:02 - mmengine - INFO - Epoch(train) [7][1500/5005] lr: 9.9114e-02 eta: 2 days, 2:04:33 time: 0.3614 data_time: 0.0044 loss: 2.3455 03/03 02:43:38 - mmengine - INFO - Epoch(train) [7][1600/5005] lr: 9.9114e-02 eta: 2 days, 2:03:25 time: 0.3670 data_time: 0.0042 loss: 2.4620 03/03 02:44:15 - mmengine - INFO - Epoch(train) [7][1700/5005] lr: 9.9114e-02 eta: 2 days, 2:02:13 time: 0.3545 data_time: 0.0046 loss: 2.4682 03/03 02:44:51 - mmengine - INFO - Epoch(train) [7][1800/5005] lr: 9.9114e-02 eta: 2 days, 2:01:06 time: 0.3758 data_time: 0.0044 loss: 2.5207 03/03 02:45:27 - mmengine - INFO - Epoch(train) [7][1900/5005] lr: 9.9114e-02 eta: 2 days, 1:59:56 time: 0.3642 data_time: 0.0041 loss: 2.4577 03/03 02:45:52 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 02:46:03 - mmengine - INFO - Epoch(train) [7][2000/5005] lr: 9.9114e-02 eta: 2 days, 1:58:37 time: 0.3547 data_time: 0.0050 loss: 2.4353 03/03 02:46:39 - mmengine - INFO - Epoch(train) [7][2100/5005] lr: 9.9114e-02 eta: 2 days, 1:57:20 time: 0.3581 data_time: 0.0041 loss: 2.6088 03/03 02:47:15 - mmengine - INFO - Epoch(train) [7][2200/5005] lr: 9.9114e-02 eta: 2 days, 1:56:10 time: 0.3616 data_time: 0.0040 loss: 2.4520 03/03 02:47:51 - mmengine - INFO - Epoch(train) [7][2300/5005] lr: 9.9114e-02 eta: 2 days, 1:54:50 time: 0.3685 data_time: 0.0042 loss: 2.4284 03/03 02:48:26 - mmengine - INFO - Epoch(train) [7][2400/5005] lr: 9.9114e-02 eta: 2 days, 1:53:31 time: 0.3530 data_time: 0.0044 loss: 2.5313 03/03 02:49:02 - mmengine - INFO - Epoch(train) [7][2500/5005] lr: 9.9114e-02 eta: 2 days, 1:52:14 time: 0.3558 data_time: 0.0042 loss: 2.5215 03/03 02:49:37 - mmengine - INFO - Epoch(train) [7][2600/5005] lr: 9.9114e-02 eta: 2 days, 1:50:57 time: 0.3602 data_time: 0.0041 loss: 2.4631 03/03 02:50:13 - mmengine - INFO - Epoch(train) [7][2700/5005] lr: 9.9114e-02 eta: 2 days, 1:49:45 time: 0.3652 data_time: 0.0038 loss: 2.6018 03/03 02:50:49 - mmengine - INFO - Epoch(train) [7][2800/5005] lr: 9.9114e-02 eta: 2 days, 1:48:26 time: 0.3726 data_time: 0.0043 loss: 2.6147 03/03 02:51:24 - mmengine - INFO - Epoch(train) [7][2900/5005] lr: 9.9114e-02 eta: 2 days, 1:47:06 time: 0.3492 data_time: 0.0042 loss: 2.5402 03/03 02:51:50 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 02:52:00 - mmengine - INFO - Epoch(train) [7][3000/5005] lr: 9.9114e-02 eta: 2 days, 1:45:56 time: 0.3591 data_time: 0.0038 loss: 2.4677 03/03 02:52:36 - mmengine - INFO - Epoch(train) [7][3100/5005] lr: 9.9114e-02 eta: 2 days, 1:44:40 time: 0.3680 data_time: 0.0042 loss: 2.5239 03/03 02:53:12 - mmengine - INFO - Epoch(train) [7][3200/5005] lr: 9.9114e-02 eta: 2 days, 1:43:28 time: 0.3490 data_time: 0.0047 loss: 2.7246 03/03 02:53:47 - mmengine - INFO - Epoch(train) [7][3300/5005] lr: 9.9114e-02 eta: 2 days, 1:42:08 time: 0.3506 data_time: 0.0042 loss: 2.6599 03/03 02:54:23 - mmengine - INFO - Epoch(train) [7][3400/5005] lr: 9.9114e-02 eta: 2 days, 1:40:52 time: 0.3632 data_time: 0.0042 loss: 2.5666 03/03 02:54:58 - mmengine - INFO - Epoch(train) [7][3500/5005] lr: 9.9114e-02 eta: 2 days, 1:39:33 time: 0.3600 data_time: 0.0044 loss: 2.4931 03/03 02:55:34 - mmengine - INFO - Epoch(train) [7][3600/5005] lr: 9.9114e-02 eta: 2 days, 1:38:17 time: 0.3557 data_time: 0.0046 loss: 2.5181 03/03 02:56:10 - mmengine - INFO - Epoch(train) [7][3700/5005] lr: 9.9114e-02 eta: 2 days, 1:37:02 time: 0.3526 data_time: 0.0042 loss: 2.3765 03/03 02:56:46 - mmengine - INFO - Epoch(train) [7][3800/5005] lr: 9.9114e-02 eta: 2 days, 1:35:53 time: 0.3676 data_time: 0.0042 loss: 2.6822 03/03 02:57:21 - mmengine - INFO - Epoch(train) [7][3900/5005] lr: 9.9114e-02 eta: 2 days, 1:34:38 time: 0.3510 data_time: 0.0040 loss: 2.5919 03/03 02:57:47 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 02:57:57 - mmengine - INFO - Epoch(train) [7][4000/5005] lr: 9.9114e-02 eta: 2 days, 1:33:28 time: 0.3416 data_time: 0.0041 loss: 2.5254 03/03 02:58:33 - mmengine - INFO - Epoch(train) [7][4100/5005] lr: 9.9114e-02 eta: 2 days, 1:32:12 time: 0.3476 data_time: 0.0040 loss: 2.3861 03/03 02:59:09 - mmengine - INFO - Epoch(train) [7][4200/5005] lr: 9.9114e-02 eta: 2 days, 1:31:00 time: 0.3587 data_time: 0.0038 loss: 2.3895 03/03 02:59:45 - mmengine - INFO - Epoch(train) [7][4300/5005] lr: 9.9114e-02 eta: 2 days, 1:29:54 time: 0.3718 data_time: 0.0042 loss: 2.4457 03/03 03:00:20 - mmengine - INFO - Epoch(train) [7][4400/5005] lr: 9.9114e-02 eta: 2 days, 1:28:41 time: 0.3682 data_time: 0.0039 loss: 2.2827 03/03 03:00:56 - mmengine - INFO - Epoch(train) [7][4500/5005] lr: 9.9114e-02 eta: 2 days, 1:27:31 time: 0.3460 data_time: 0.0049 loss: 2.4794 03/03 03:01:32 - mmengine - INFO - Epoch(train) [7][4600/5005] lr: 9.9114e-02 eta: 2 days, 1:26:24 time: 0.3640 data_time: 0.0042 loss: 2.5026 03/03 03:02:08 - mmengine - INFO - Epoch(train) [7][4700/5005] lr: 9.9114e-02 eta: 2 days, 1:25:11 time: 0.3411 data_time: 0.0041 loss: 2.4035 03/03 03:02:44 - mmengine - INFO - Epoch(train) [7][4800/5005] lr: 9.9114e-02 eta: 2 days, 1:24:02 time: 0.3463 data_time: 0.0041 loss: 2.5826 03/03 03:03:19 - mmengine - INFO - Epoch(train) [7][4900/5005] lr: 9.9114e-02 eta: 2 days, 1:22:45 time: 0.3573 data_time: 0.0041 loss: 2.3961 03/03 03:03:43 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 03:03:54 - mmengine - INFO - Epoch(train) [7][5000/5005] lr: 9.9114e-02 eta: 2 days, 1:21:18 time: 0.3383 data_time: 0.0037 loss: 2.4495 03/03 03:03:55 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 03:03:58 - mmengine - INFO - Saving checkpoint at 7 epochs 03/03 03:04:14 - mmengine - INFO - Epoch(val) [7][100/196] eta: 0:00:13 time: 0.0434 data_time: 0.0003 03/03 03:04:31 - mmengine - INFO - Epoch(val) [7][196/196] accuracy/top1: 49.6320 accuracy/top5: 75.2560 03/03 03:05:15 - mmengine - INFO - Epoch(train) [8][ 100/5005] lr: 9.8796e-02 eta: 2 days, 1:21:57 time: 0.3459 data_time: 0.0042 loss: 2.3601 03/03 03:05:51 - mmengine - INFO - Epoch(train) [8][ 200/5005] lr: 9.8796e-02 eta: 2 days, 1:20:42 time: 0.3423 data_time: 0.0041 loss: 2.4601 03/03 03:06:27 - mmengine - INFO - Epoch(train) [8][ 300/5005] lr: 9.8796e-02 eta: 2 days, 1:19:33 time: 0.3517 data_time: 0.0038 loss: 2.4295 03/03 03:07:02 - mmengine - INFO - Epoch(train) [8][ 400/5005] lr: 9.8796e-02 eta: 2 days, 1:18:22 time: 0.3530 data_time: 0.0044 loss: 2.2999 03/03 03:07:38 - mmengine - INFO - Epoch(train) [8][ 500/5005] lr: 9.8796e-02 eta: 2 days, 1:17:11 time: 0.3810 data_time: 0.0043 loss: 2.5324 03/03 03:08:13 - mmengine - INFO - Epoch(train) [8][ 600/5005] lr: 9.8796e-02 eta: 2 days, 1:15:59 time: 0.3563 data_time: 0.0043 loss: 2.4971 03/03 03:08:49 - mmengine - INFO - Epoch(train) [8][ 700/5005] lr: 9.8796e-02 eta: 2 days, 1:14:49 time: 0.3490 data_time: 0.0045 loss: 2.4595 03/03 03:09:25 - mmengine - INFO - Epoch(train) [8][ 800/5005] lr: 9.8796e-02 eta: 2 days, 1:13:37 time: 0.3491 data_time: 0.0042 loss: 2.5029 03/03 03:10:00 - mmengine - INFO - Epoch(train) [8][ 900/5005] lr: 9.8796e-02 eta: 2 days, 1:12:28 time: 0.3570 data_time: 0.0040 loss: 2.4586 03/03 03:10:23 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 03:10:36 - mmengine - INFO - Epoch(train) [8][1000/5005] lr: 9.8796e-02 eta: 2 days, 1:11:15 time: 0.3501 data_time: 0.0039 loss: 2.3203 03/03 03:11:11 - mmengine - INFO - Epoch(train) [8][1100/5005] lr: 9.8796e-02 eta: 2 days, 1:10:00 time: 0.3498 data_time: 0.0041 loss: 2.3094 03/03 03:11:47 - mmengine - INFO - Epoch(train) [8][1200/5005] lr: 9.8796e-02 eta: 2 days, 1:08:53 time: 0.3615 data_time: 0.0041 loss: 2.5061 03/03 03:12:23 - mmengine - INFO - Epoch(train) [8][1300/5005] lr: 9.8796e-02 eta: 2 days, 1:07:42 time: 0.3852 data_time: 0.0042 loss: 2.2156 03/03 03:12:58 - mmengine - INFO - Epoch(train) [8][1400/5005] lr: 9.8796e-02 eta: 2 days, 1:06:33 time: 0.3525 data_time: 0.0043 loss: 2.4594 03/03 03:13:34 - mmengine - INFO - Epoch(train) [8][1500/5005] lr: 9.8796e-02 eta: 2 days, 1:05:23 time: 0.3567 data_time: 0.0045 loss: 2.4073 03/03 03:14:10 - mmengine - INFO - Epoch(train) [8][1600/5005] lr: 9.8796e-02 eta: 2 days, 1:04:15 time: 0.3538 data_time: 0.0039 loss: 2.4412 03/03 03:14:45 - mmengine - INFO - Epoch(train) [8][1700/5005] lr: 9.8796e-02 eta: 2 days, 1:03:06 time: 0.3567 data_time: 0.0038 loss: 2.3237 03/03 03:15:21 - mmengine - INFO - Epoch(train) [8][1800/5005] lr: 9.8796e-02 eta: 2 days, 1:01:57 time: 0.3596 data_time: 0.0044 loss: 2.5298 03/03 03:15:57 - mmengine - INFO - Epoch(train) [8][1900/5005] lr: 9.8796e-02 eta: 2 days, 1:00:48 time: 0.3482 data_time: 0.0041 loss: 2.3472 03/03 03:16:20 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 03:16:32 - mmengine - INFO - Epoch(train) [8][2000/5005] lr: 9.8796e-02 eta: 2 days, 0:59:41 time: 0.3755 data_time: 0.0038 loss: 2.4666 03/03 03:17:08 - mmengine - INFO - Epoch(train) [8][2100/5005] lr: 9.8796e-02 eta: 2 days, 0:58:31 time: 0.3546 data_time: 0.0051 loss: 2.3537 03/03 03:17:44 - mmengine - INFO - Epoch(train) [8][2200/5005] lr: 9.8796e-02 eta: 2 days, 0:57:24 time: 0.3531 data_time: 0.0042 loss: 2.5118 03/03 03:18:20 - mmengine - INFO - Epoch(train) [8][2300/5005] lr: 9.8796e-02 eta: 2 days, 0:56:20 time: 0.3667 data_time: 0.0041 loss: 2.2725 03/03 03:18:55 - mmengine - INFO - Epoch(train) [8][2400/5005] lr: 9.8796e-02 eta: 2 days, 0:55:11 time: 0.3556 data_time: 0.0041 loss: 2.4800 03/03 03:19:31 - mmengine - INFO - Epoch(train) [8][2500/5005] lr: 9.8796e-02 eta: 2 days, 0:54:05 time: 0.3504 data_time: 0.0040 loss: 2.2278 03/03 03:20:07 - mmengine - INFO - Epoch(train) [8][2600/5005] lr: 9.8796e-02 eta: 2 days, 0:52:59 time: 0.3567 data_time: 0.0044 loss: 2.3669 03/03 03:20:42 - mmengine - INFO - Epoch(train) [8][2700/5005] lr: 9.8796e-02 eta: 2 days, 0:51:53 time: 0.3481 data_time: 0.0040 loss: 2.2428 03/03 03:21:18 - mmengine - INFO - Epoch(train) [8][2800/5005] lr: 9.8796e-02 eta: 2 days, 0:50:42 time: 0.3336 data_time: 0.0042 loss: 2.4455 03/03 03:21:54 - mmengine - INFO - Epoch(train) [8][2900/5005] lr: 9.8796e-02 eta: 2 days, 0:49:38 time: 0.3612 data_time: 0.0040 loss: 2.4186 03/03 03:22:17 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 03:22:29 - mmengine - INFO - Epoch(train) [8][3000/5005] lr: 9.8796e-02 eta: 2 days, 0:48:33 time: 0.3693 data_time: 0.0041 loss: 2.4972 03/03 03:23:05 - mmengine - INFO - Epoch(train) [8][3100/5005] lr: 9.8796e-02 eta: 2 days, 0:47:21 time: 0.3430 data_time: 0.0040 loss: 2.5668 03/03 03:23:40 - mmengine - INFO - Epoch(train) [8][3200/5005] lr: 9.8796e-02 eta: 2 days, 0:46:14 time: 0.3608 data_time: 0.0041 loss: 2.6047 03/03 03:24:16 - mmengine - INFO - Epoch(train) [8][3300/5005] lr: 9.8796e-02 eta: 2 days, 0:45:10 time: 0.3669 data_time: 0.0039 loss: 2.4274 03/03 03:24:52 - mmengine - INFO - Epoch(train) [8][3400/5005] lr: 9.8796e-02 eta: 2 days, 0:44:07 time: 0.3677 data_time: 0.0042 loss: 2.4515 03/03 03:25:27 - mmengine - INFO - Epoch(train) [8][3500/5005] lr: 9.8796e-02 eta: 2 days, 0:43:00 time: 0.3561 data_time: 0.0044 loss: 2.3124 03/03 03:26:03 - mmengine - INFO - Epoch(train) [8][3600/5005] lr: 9.8796e-02 eta: 2 days, 0:41:54 time: 0.3696 data_time: 0.0043 loss: 2.7470 03/03 03:26:39 - mmengine - INFO - Epoch(train) [8][3700/5005] lr: 9.8796e-02 eta: 2 days, 0:40:52 time: 0.3603 data_time: 0.0048 loss: 2.3118 03/03 03:27:15 - mmengine - INFO - Epoch(train) [8][3800/5005] lr: 9.8796e-02 eta: 2 days, 0:39:45 time: 0.3539 data_time: 0.0044 loss: 2.3401 03/03 03:27:50 - mmengine - INFO - Epoch(train) [8][3900/5005] lr: 9.8796e-02 eta: 2 days, 0:38:39 time: 0.3712 data_time: 0.0042 loss: 2.1722 03/03 03:28:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 03:28:26 - mmengine - INFO - Epoch(train) [8][4000/5005] lr: 9.8796e-02 eta: 2 days, 0:37:36 time: 0.3525 data_time: 0.0038 loss: 2.5345 03/03 03:29:02 - mmengine - INFO - Epoch(train) [8][4100/5005] lr: 9.8796e-02 eta: 2 days, 0:36:31 time: 0.3718 data_time: 0.0042 loss: 2.4010 03/03 03:29:37 - mmengine - INFO - Epoch(train) [8][4200/5005] lr: 9.8796e-02 eta: 2 days, 0:35:27 time: 0.3434 data_time: 0.0042 loss: 2.4069 03/03 03:30:13 - mmengine - INFO - Epoch(train) [8][4300/5005] lr: 9.8796e-02 eta: 2 days, 0:34:26 time: 0.3544 data_time: 0.0045 loss: 2.5740 03/03 03:30:49 - mmengine - INFO - Epoch(train) [8][4400/5005] lr: 9.8796e-02 eta: 2 days, 0:33:20 time: 0.3580 data_time: 0.0042 loss: 2.4313 03/03 03:31:24 - mmengine - INFO - Epoch(train) [8][4500/5005] lr: 9.8796e-02 eta: 2 days, 0:32:12 time: 0.3447 data_time: 0.0039 loss: 2.3732 03/03 03:32:00 - mmengine - INFO - Epoch(train) [8][4600/5005] lr: 9.8796e-02 eta: 2 days, 0:31:07 time: 0.3496 data_time: 0.0042 loss: 2.4520 03/03 03:32:35 - mmengine - INFO - Epoch(train) [8][4700/5005] lr: 9.8796e-02 eta: 2 days, 0:30:01 time: 0.3454 data_time: 0.0042 loss: 2.3106 03/03 03:33:11 - mmengine - INFO - Epoch(train) [8][4800/5005] lr: 9.8796e-02 eta: 2 days, 0:28:57 time: 0.3478 data_time: 0.0041 loss: 2.4282 03/03 03:33:46 - mmengine - INFO - Epoch(train) [8][4900/5005] lr: 9.8796e-02 eta: 2 days, 0:27:49 time: 0.3470 data_time: 0.0046 loss: 2.4697 03/03 03:34:09 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 03:34:21 - mmengine - INFO - Epoch(train) [8][5000/5005] lr: 9.8796e-02 eta: 2 days, 0:26:40 time: 0.3557 data_time: 0.0043 loss: 2.3371 03/03 03:34:23 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 03:34:26 - mmengine - INFO - Saving checkpoint at 8 epochs 03/03 03:34:43 - mmengine - INFO - Epoch(val) [8][100/196] eta: 0:00:15 time: 0.0575 data_time: 0.0005 03/03 03:35:00 - mmengine - INFO - Epoch(val) [8][196/196] accuracy/top1: 51.9260 accuracy/top5: 77.5280 03/03 03:35:45 - mmengine - INFO - Epoch(train) [9][ 100/5005] lr: 9.8429e-02 eta: 2 days, 0:27:21 time: 0.3601 data_time: 0.0048 loss: 2.4887 03/03 03:36:21 - mmengine - INFO - Epoch(train) [9][ 200/5005] lr: 9.8429e-02 eta: 2 days, 0:26:23 time: 0.3498 data_time: 0.0040 loss: 2.4769 03/03 03:36:56 - mmengine - INFO - Epoch(train) [9][ 300/5005] lr: 9.8429e-02 eta: 2 days, 0:25:19 time: 0.3513 data_time: 0.0045 loss: 2.5274 03/03 03:37:32 - mmengine - INFO - Epoch(train) [9][ 400/5005] lr: 9.8429e-02 eta: 2 days, 0:24:17 time: 0.3681 data_time: 0.0040 loss: 2.3326 03/03 03:38:08 - mmengine - INFO - Epoch(train) [9][ 500/5005] lr: 9.8429e-02 eta: 2 days, 0:23:11 time: 0.3791 data_time: 0.0044 loss: 2.3522 03/03 03:38:43 - mmengine - INFO - Epoch(train) [9][ 600/5005] lr: 9.8429e-02 eta: 2 days, 0:22:07 time: 0.3643 data_time: 0.0048 loss: 2.5279 03/03 03:39:18 - mmengine - INFO - Epoch(train) [9][ 700/5005] lr: 9.8429e-02 eta: 2 days, 0:20:59 time: 0.3522 data_time: 0.0044 loss: 2.2871 03/03 03:39:54 - mmengine - INFO - Epoch(train) [9][ 800/5005] lr: 9.8429e-02 eta: 2 days, 0:19:57 time: 0.3651 data_time: 0.0038 loss: 2.3138 03/03 03:40:30 - mmengine - INFO - Epoch(train) [9][ 900/5005] lr: 9.8429e-02 eta: 2 days, 0:18:54 time: 0.3533 data_time: 0.0040 loss: 2.4073 03/03 03:40:51 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 03:41:05 - mmengine - INFO - Epoch(train) [9][1000/5005] lr: 9.8429e-02 eta: 2 days, 0:17:52 time: 0.3493 data_time: 0.0044 loss: 2.3126 03/03 03:41:41 - mmengine - INFO - Epoch(train) [9][1100/5005] lr: 9.8429e-02 eta: 2 days, 0:16:51 time: 0.3468 data_time: 0.0042 loss: 2.2725 03/03 03:42:17 - mmengine - INFO - Epoch(train) [9][1200/5005] lr: 9.8429e-02 eta: 2 days, 0:15:46 time: 0.3612 data_time: 0.0044 loss: 2.3164 03/03 03:42:53 - mmengine - INFO - Epoch(train) [9][1300/5005] lr: 9.8429e-02 eta: 2 days, 0:14:50 time: 0.3954 data_time: 0.0042 loss: 2.6624 03/03 03:43:28 - mmengine - INFO - Epoch(train) [9][1400/5005] lr: 9.8429e-02 eta: 2 days, 0:13:44 time: 0.3530 data_time: 0.0041 loss: 2.2117 03/03 03:44:03 - mmengine - INFO - Epoch(train) [9][1500/5005] lr: 9.8429e-02 eta: 2 days, 0:12:37 time: 0.3534 data_time: 0.0040 loss: 2.2720 03/03 03:44:39 - mmengine - INFO - Epoch(train) [9][1600/5005] lr: 9.8429e-02 eta: 2 days, 0:11:34 time: 0.3614 data_time: 0.0039 loss: 2.3554 03/03 03:45:14 - mmengine - INFO - Epoch(train) [9][1700/5005] lr: 9.8429e-02 eta: 2 days, 0:10:32 time: 0.3777 data_time: 0.0044 loss: 2.1970 03/03 03:45:50 - mmengine - INFO - Epoch(train) [9][1800/5005] lr: 9.8429e-02 eta: 2 days, 0:09:30 time: 0.3505 data_time: 0.0040 loss: 2.3538 03/03 03:46:25 - mmengine - INFO - Epoch(train) [9][1900/5005] lr: 9.8429e-02 eta: 2 days, 0:08:25 time: 0.3626 data_time: 0.0044 loss: 2.5379 03/03 03:46:47 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 03:47:01 - mmengine - INFO - Epoch(train) [9][2000/5005] lr: 9.8429e-02 eta: 2 days, 0:07:23 time: 0.3611 data_time: 0.0041 loss: 2.6371 03/03 03:47:37 - mmengine - INFO - Epoch(train) [9][2100/5005] lr: 9.8429e-02 eta: 2 days, 0:06:22 time: 0.3416 data_time: 0.0044 loss: 2.4567 03/03 03:48:12 - mmengine - INFO - Epoch(train) [9][2200/5005] lr: 9.8429e-02 eta: 2 days, 0:05:22 time: 0.3564 data_time: 0.0046 loss: 2.7673 03/03 03:48:48 - mmengine - INFO - Epoch(train) [9][2300/5005] lr: 9.8429e-02 eta: 2 days, 0:04:19 time: 0.3453 data_time: 0.0041 loss: 2.6278 03/03 03:49:24 - mmengine - INFO - Epoch(train) [9][2400/5005] lr: 9.8429e-02 eta: 2 days, 0:03:23 time: 0.3712 data_time: 0.0038 loss: 2.3169 03/03 03:49:59 - mmengine - INFO - Epoch(train) [9][2500/5005] lr: 9.8429e-02 eta: 2 days, 0:02:18 time: 0.3483 data_time: 0.0042 loss: 2.4194 03/03 03:50:35 - mmengine - INFO - Epoch(train) [9][2600/5005] lr: 9.8429e-02 eta: 2 days, 0:01:17 time: 0.3523 data_time: 0.0048 loss: 2.2751 03/03 03:51:11 - mmengine - INFO - Epoch(train) [9][2700/5005] lr: 9.8429e-02 eta: 2 days, 0:00:17 time: 0.3728 data_time: 0.0042 loss: 2.2595 03/03 03:51:46 - mmengine - INFO - Epoch(train) [9][2800/5005] lr: 9.8429e-02 eta: 1 day, 23:59:14 time: 0.3554 data_time: 0.0039 loss: 2.2815 03/03 03:52:22 - mmengine - INFO - Epoch(train) [9][2900/5005] lr: 9.8429e-02 eta: 1 day, 23:58:15 time: 0.3533 data_time: 0.0041 loss: 2.0831 03/03 03:52:43 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 03:52:57 - mmengine - INFO - Epoch(train) [9][3000/5005] lr: 9.8429e-02 eta: 1 day, 23:57:11 time: 0.3544 data_time: 0.0039 loss: 2.5349 03/03 03:53:33 - mmengine - INFO - Epoch(train) [9][3100/5005] lr: 9.8429e-02 eta: 1 day, 23:56:12 time: 0.3491 data_time: 0.0039 loss: 2.2386 03/03 03:54:08 - mmengine - INFO - Epoch(train) [9][3200/5005] lr: 9.8429e-02 eta: 1 day, 23:55:12 time: 0.3494 data_time: 0.0048 loss: 2.4045 03/03 03:54:44 - mmengine - INFO - Epoch(train) [9][3300/5005] lr: 9.8429e-02 eta: 1 day, 23:54:10 time: 0.3542 data_time: 0.0040 loss: 2.3880 03/03 03:55:20 - mmengine - INFO - Epoch(train) [9][3400/5005] lr: 9.8429e-02 eta: 1 day, 23:53:11 time: 0.3515 data_time: 0.0048 loss: 2.4272 03/03 03:55:55 - mmengine - INFO - Epoch(train) [9][3500/5005] lr: 9.8429e-02 eta: 1 day, 23:52:08 time: 0.3485 data_time: 0.0044 loss: 2.3268 03/03 03:56:30 - mmengine - INFO - Epoch(train) [9][3600/5005] lr: 9.8429e-02 eta: 1 day, 23:51:08 time: 0.3433 data_time: 0.0041 loss: 2.3596 03/03 03:57:06 - mmengine - INFO - Epoch(train) [9][3700/5005] lr: 9.8429e-02 eta: 1 day, 23:50:08 time: 0.3582 data_time: 0.0039 loss: 2.3485 03/03 03:57:42 - mmengine - INFO - Epoch(train) [9][3800/5005] lr: 9.8429e-02 eta: 1 day, 23:49:07 time: 0.3556 data_time: 0.0049 loss: 2.3262 03/03 03:58:17 - mmengine - INFO - Epoch(train) [9][3900/5005] lr: 9.8429e-02 eta: 1 day, 23:48:09 time: 0.3601 data_time: 0.0041 loss: 2.3385 03/03 03:58:39 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 03:58:53 - mmengine - INFO - Epoch(train) [9][4000/5005] lr: 9.8429e-02 eta: 1 day, 23:47:09 time: 0.3467 data_time: 0.0046 loss: 2.4416 03/03 03:59:29 - mmengine - INFO - Epoch(train) [9][4100/5005] lr: 9.8429e-02 eta: 1 day, 23:46:11 time: 0.3555 data_time: 0.0049 loss: 2.6611 03/03 04:00:05 - mmengine - INFO - Epoch(train) [9][4200/5005] lr: 9.8429e-02 eta: 1 day, 23:45:16 time: 0.3541 data_time: 0.0044 loss: 2.3241 03/03 04:00:40 - mmengine - INFO - Epoch(train) [9][4300/5005] lr: 9.8429e-02 eta: 1 day, 23:44:18 time: 0.3821 data_time: 0.0043 loss: 2.5795 03/03 04:01:16 - mmengine - INFO - Epoch(train) [9][4400/5005] lr: 9.8429e-02 eta: 1 day, 23:43:17 time: 0.3584 data_time: 0.0047 loss: 2.3974 03/03 04:01:51 - mmengine - INFO - Epoch(train) [9][4500/5005] lr: 9.8429e-02 eta: 1 day, 23:42:17 time: 0.3489 data_time: 0.0047 loss: 2.3512 03/03 04:02:27 - mmengine - INFO - Epoch(train) [9][4600/5005] lr: 9.8429e-02 eta: 1 day, 23:41:20 time: 0.3505 data_time: 0.0046 loss: 2.4259 03/03 04:03:03 - mmengine - INFO - Epoch(train) [9][4700/5005] lr: 9.8429e-02 eta: 1 day, 23:40:24 time: 0.3562 data_time: 0.0045 loss: 2.3167 03/03 04:03:39 - mmengine - INFO - Epoch(train) [9][4800/5005] lr: 9.8429e-02 eta: 1 day, 23:39:28 time: 0.3635 data_time: 0.0043 loss: 2.2992 03/03 04:04:15 - mmengine - INFO - Epoch(train) [9][4900/5005] lr: 9.8429e-02 eta: 1 day, 23:38:32 time: 0.3597 data_time: 0.0039 loss: 2.3900 03/03 04:04:36 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 04:04:49 - mmengine - INFO - Epoch(train) [9][5000/5005] lr: 9.8429e-02 eta: 1 day, 23:37:24 time: 0.3579 data_time: 0.0045 loss: 2.4650 03/03 04:04:51 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 04:04:54 - mmengine - INFO - Saving checkpoint at 9 epochs 03/03 04:05:11 - mmengine - INFO - Epoch(val) [9][100/196] eta: 0:00:15 time: 0.0443 data_time: 0.0003 03/03 04:05:27 - mmengine - INFO - Epoch(val) [9][196/196] accuracy/top1: 51.4700 accuracy/top5: 76.7220 03/03 04:06:12 - mmengine - INFO - Epoch(train) [10][ 100/5005] lr: 9.8015e-02 eta: 1 day, 23:37:58 time: 0.3582 data_time: 0.0047 loss: 2.2364 03/03 04:06:48 - mmengine - INFO - Epoch(train) [10][ 200/5005] lr: 9.8015e-02 eta: 1 day, 23:37:07 time: 0.3605 data_time: 0.0046 loss: 2.6030 03/03 04:07:24 - mmengine - INFO - Epoch(train) [10][ 300/5005] lr: 9.8015e-02 eta: 1 day, 23:36:06 time: 0.3489 data_time: 0.0042 loss: 2.1139 03/03 04:08:00 - mmengine - INFO - Epoch(train) [10][ 400/5005] lr: 9.8015e-02 eta: 1 day, 23:35:11 time: 0.3756 data_time: 0.0042 loss: 2.1674 03/03 04:08:36 - mmengine - INFO - Epoch(train) [10][ 500/5005] lr: 9.8015e-02 eta: 1 day, 23:34:17 time: 0.3894 data_time: 0.0054 loss: 2.1909 03/03 04:09:11 - mmengine - INFO - Epoch(train) [10][ 600/5005] lr: 9.8015e-02 eta: 1 day, 23:33:18 time: 0.3500 data_time: 0.0040 loss: 2.3084 03/03 04:09:47 - mmengine - INFO - Epoch(train) [10][ 700/5005] lr: 9.8015e-02 eta: 1 day, 23:32:19 time: 0.3421 data_time: 0.0042 loss: 2.3128 03/03 04:10:22 - mmengine - INFO - Epoch(train) [10][ 800/5005] lr: 9.8015e-02 eta: 1 day, 23:31:22 time: 0.3629 data_time: 0.0041 loss: 2.4249 03/03 04:10:58 - mmengine - INFO - Epoch(train) [10][ 900/5005] lr: 9.8015e-02 eta: 1 day, 23:30:25 time: 0.3671 data_time: 0.0038 loss: 2.2815 03/03 04:11:18 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 04:11:34 - mmengine - INFO - Epoch(train) [10][1000/5005] lr: 9.8015e-02 eta: 1 day, 23:29:27 time: 0.3501 data_time: 0.0045 loss: 2.3139 03/03 04:12:09 - mmengine - INFO - Epoch(train) [10][1100/5005] lr: 9.8015e-02 eta: 1 day, 23:28:31 time: 0.3632 data_time: 0.0042 loss: 2.3262 03/03 04:12:45 - mmengine - INFO - Epoch(train) [10][1200/5005] lr: 9.8015e-02 eta: 1 day, 23:27:32 time: 0.3393 data_time: 0.0039 loss: 2.3751 03/03 04:13:21 - mmengine - INFO - Epoch(train) [10][1300/5005] lr: 9.8015e-02 eta: 1 day, 23:26:34 time: 0.3455 data_time: 0.0044 loss: 2.3894 03/03 04:13:56 - mmengine - INFO - Epoch(train) [10][1400/5005] lr: 9.8015e-02 eta: 1 day, 23:25:37 time: 0.3625 data_time: 0.0045 loss: 2.4782 03/03 04:14:32 - mmengine - INFO - Epoch(train) [10][1500/5005] lr: 9.8015e-02 eta: 1 day, 23:24:39 time: 0.3457 data_time: 0.0038 loss: 2.5586 03/03 04:15:08 - mmengine - INFO - Epoch(train) [10][1600/5005] lr: 9.8015e-02 eta: 1 day, 23:23:47 time: 0.3703 data_time: 0.0046 loss: 2.3346 03/03 04:15:43 - mmengine - INFO - Epoch(train) [10][1700/5005] lr: 9.8015e-02 eta: 1 day, 23:22:45 time: 0.3496 data_time: 0.0041 loss: 2.2029 03/03 04:16:18 - mmengine - INFO - Epoch(train) [10][1800/5005] lr: 9.8015e-02 eta: 1 day, 23:21:47 time: 0.3490 data_time: 0.0039 loss: 2.2508 03/03 04:16:54 - mmengine - INFO - Epoch(train) [10][1900/5005] lr: 9.8015e-02 eta: 1 day, 23:20:50 time: 0.3658 data_time: 0.0046 loss: 2.0231 03/03 04:17:14 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 04:17:30 - mmengine - INFO - Epoch(train) [10][2000/5005] lr: 9.8015e-02 eta: 1 day, 23:19:53 time: 0.3552 data_time: 0.0046 loss: 2.4055 03/03 04:18:05 - mmengine - INFO - Epoch(train) [10][2100/5005] lr: 9.8015e-02 eta: 1 day, 23:18:56 time: 0.3524 data_time: 0.0046 loss: 2.3803 03/03 04:18:40 - mmengine - INFO - Epoch(train) [10][2200/5005] lr: 9.8015e-02 eta: 1 day, 23:17:57 time: 0.3579 data_time: 0.0040 loss: 2.3379 03/03 04:19:16 - mmengine - INFO - Epoch(train) [10][2300/5005] lr: 9.8015e-02 eta: 1 day, 23:17:00 time: 0.3501 data_time: 0.0043 loss: 2.1865 03/03 04:19:52 - mmengine - INFO - Epoch(train) [10][2400/5005] lr: 9.8015e-02 eta: 1 day, 23:16:06 time: 0.3707 data_time: 0.0041 loss: 2.3804 03/03 04:20:27 - mmengine - INFO - Epoch(train) [10][2500/5005] lr: 9.8015e-02 eta: 1 day, 23:15:07 time: 0.3462 data_time: 0.0045 loss: 2.3040 03/03 04:21:03 - mmengine - INFO - Epoch(train) [10][2600/5005] lr: 9.8015e-02 eta: 1 day, 23:14:12 time: 0.3433 data_time: 0.0038 loss: 2.1704 03/03 04:21:39 - mmengine - INFO - Epoch(train) [10][2700/5005] lr: 9.8015e-02 eta: 1 day, 23:13:15 time: 0.3491 data_time: 0.0042 loss: 2.2778 03/03 04:22:14 - mmengine - INFO - Epoch(train) [10][2800/5005] lr: 9.8015e-02 eta: 1 day, 23:12:18 time: 0.3388 data_time: 0.0038 loss: 2.2033 03/03 04:22:50 - mmengine - INFO - Epoch(train) [10][2900/5005] lr: 9.8015e-02 eta: 1 day, 23:11:23 time: 0.3591 data_time: 0.0041 loss: 2.3994 03/03 04:23:09 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 04:23:25 - mmengine - INFO - Epoch(train) [10][3000/5005] lr: 9.8015e-02 eta: 1 day, 23:10:27 time: 0.3625 data_time: 0.0043 loss: 2.2091 03/03 04:24:01 - mmengine - INFO - Epoch(train) [10][3100/5005] lr: 9.8015e-02 eta: 1 day, 23:09:32 time: 0.3477 data_time: 0.0040 loss: 2.4216 03/03 04:24:37 - mmengine - INFO - Epoch(train) [10][3200/5005] lr: 9.8015e-02 eta: 1 day, 23:08:36 time: 0.3540 data_time: 0.0040 loss: 2.2431 03/03 04:25:12 - mmengine - INFO - Epoch(train) [10][3300/5005] lr: 9.8015e-02 eta: 1 day, 23:07:37 time: 0.3482 data_time: 0.0045 loss: 2.2077 03/03 04:25:48 - mmengine - INFO - Epoch(train) [10][3400/5005] lr: 9.8015e-02 eta: 1 day, 23:06:44 time: 0.3662 data_time: 0.0046 loss: 2.3621 03/03 04:26:23 - mmengine - INFO - Epoch(train) [10][3500/5005] lr: 9.8015e-02 eta: 1 day, 23:05:45 time: 0.3583 data_time: 0.0043 loss: 2.3550 03/03 04:26:59 - mmengine - INFO - Epoch(train) [10][3600/5005] lr: 9.8015e-02 eta: 1 day, 23:04:50 time: 0.3552 data_time: 0.0040 loss: 2.6413 03/03 04:27:34 - mmengine - INFO - Epoch(train) [10][3700/5005] lr: 9.8015e-02 eta: 1 day, 23:03:55 time: 0.3586 data_time: 0.0042 loss: 2.5126 03/03 04:28:09 - mmengine - INFO - Epoch(train) [10][3800/5005] lr: 9.8015e-02 eta: 1 day, 23:02:55 time: 0.3486 data_time: 0.0043 loss: 2.5362 03/03 04:28:45 - mmengine - INFO - Epoch(train) [10][3900/5005] lr: 9.8015e-02 eta: 1 day, 23:02:02 time: 0.3429 data_time: 0.0039 loss: 2.2091 03/03 04:29:05 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 04:29:21 - mmengine - INFO - Epoch(train) [10][4000/5005] lr: 9.8015e-02 eta: 1 day, 23:01:08 time: 0.3689 data_time: 0.0046 loss: 2.2938 03/03 04:29:57 - mmengine - INFO - Epoch(train) [10][4100/5005] lr: 9.8015e-02 eta: 1 day, 23:00:15 time: 0.3736 data_time: 0.0040 loss: 2.2876 03/03 04:30:32 - mmengine - INFO - Epoch(train) [10][4200/5005] lr: 9.8015e-02 eta: 1 day, 22:59:20 time: 0.3618 data_time: 0.0047 loss: 2.3898 03/03 04:31:08 - mmengine - INFO - Epoch(train) [10][4300/5005] lr: 9.8015e-02 eta: 1 day, 22:58:23 time: 0.3451 data_time: 0.0049 loss: 2.2143 03/03 04:31:44 - mmengine - INFO - Epoch(train) [10][4400/5005] lr: 9.8015e-02 eta: 1 day, 22:57:31 time: 0.3505 data_time: 0.0047 loss: 2.3941 03/03 04:32:19 - mmengine - INFO - Epoch(train) [10][4500/5005] lr: 9.8015e-02 eta: 1 day, 22:56:36 time: 0.3526 data_time: 0.0044 loss: 2.2700 03/03 04:32:54 - mmengine - INFO - Epoch(train) [10][4600/5005] lr: 9.8015e-02 eta: 1 day, 22:55:38 time: 0.3472 data_time: 0.0041 loss: 2.4187 03/03 04:33:30 - mmengine - INFO - Epoch(train) [10][4700/5005] lr: 9.8015e-02 eta: 1 day, 22:54:45 time: 0.3518 data_time: 0.0046 loss: 2.2330 03/03 04:34:06 - mmengine - INFO - Epoch(train) [10][4800/5005] lr: 9.8015e-02 eta: 1 day, 22:53:49 time: 0.3604 data_time: 0.0042 loss: 2.4994 03/03 04:34:41 - mmengine - INFO - Epoch(train) [10][4900/5005] lr: 9.8015e-02 eta: 1 day, 22:52:54 time: 0.3461 data_time: 0.0041 loss: 2.3022 03/03 04:35:00 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 04:35:16 - mmengine - INFO - Epoch(train) [10][5000/5005] lr: 9.8015e-02 eta: 1 day, 22:51:53 time: 0.3451 data_time: 0.0038 loss: 2.1751 03/03 04:35:18 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 04:35:21 - mmengine - INFO - Saving checkpoint at 10 epochs 03/03 04:35:38 - mmengine - INFO - Epoch(val) [10][100/196] eta: 0:00:16 time: 0.0453 data_time: 0.0003 03/03 04:35:55 - mmengine - INFO - Epoch(val) [10][196/196] accuracy/top1: 51.6780 accuracy/top5: 77.5820 03/03 04:36:39 - mmengine - INFO - Epoch(train) [11][ 100/5005] lr: 9.7553e-02 eta: 1 day, 22:52:17 time: 0.4019 data_time: 0.0044 loss: 2.1782 03/03 04:37:15 - mmengine - INFO - Epoch(train) [11][ 200/5005] lr: 9.7553e-02 eta: 1 day, 22:51:23 time: 0.3463 data_time: 0.0040 loss: 2.4115 03/03 04:37:51 - mmengine - INFO - Epoch(train) [11][ 300/5005] lr: 9.7553e-02 eta: 1 day, 22:50:33 time: 0.3451 data_time: 0.0039 loss: 2.2235 03/03 04:38:27 - mmengine - INFO - Epoch(train) [11][ 400/5005] lr: 9.7553e-02 eta: 1 day, 22:49:39 time: 0.3715 data_time: 0.0042 loss: 2.2023 03/03 04:39:03 - mmengine - INFO - Epoch(train) [11][ 500/5005] lr: 9.7553e-02 eta: 1 day, 22:48:52 time: 0.3932 data_time: 0.0044 loss: 2.2619 03/03 04:39:39 - mmengine - INFO - Epoch(train) [11][ 600/5005] lr: 9.7553e-02 eta: 1 day, 22:48:00 time: 0.3524 data_time: 0.0044 loss: 2.5875 03/03 04:40:14 - mmengine - INFO - Epoch(train) [11][ 700/5005] lr: 9.7553e-02 eta: 1 day, 22:47:02 time: 0.3497 data_time: 0.0038 loss: 2.3477 03/03 04:40:50 - mmengine - INFO - Epoch(train) [11][ 800/5005] lr: 9.7553e-02 eta: 1 day, 22:46:12 time: 0.3647 data_time: 0.0041 loss: 2.1903 03/03 04:41:26 - mmengine - INFO - Epoch(train) [11][ 900/5005] lr: 9.7553e-02 eta: 1 day, 22:45:19 time: 0.3687 data_time: 0.0043 loss: 2.2689 03/03 04:41:44 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 04:42:01 - mmengine - INFO - Epoch(train) [11][1000/5005] lr: 9.7553e-02 eta: 1 day, 22:44:26 time: 0.3534 data_time: 0.0049 loss: 2.3126 03/03 04:42:37 - mmengine - INFO - Epoch(train) [11][1100/5005] lr: 9.7553e-02 eta: 1 day, 22:43:32 time: 0.3480 data_time: 0.0043 loss: 1.9968 03/03 04:43:12 - mmengine - INFO - Epoch(train) [11][1200/5005] lr: 9.7553e-02 eta: 1 day, 22:42:36 time: 0.3571 data_time: 0.0043 loss: 2.2130 03/03 04:43:48 - mmengine - INFO - Epoch(train) [11][1300/5005] lr: 9.7553e-02 eta: 1 day, 22:41:43 time: 0.3445 data_time: 0.0040 loss: 2.2935 03/03 04:44:24 - mmengine - INFO - Epoch(train) [11][1400/5005] lr: 9.7553e-02 eta: 1 day, 22:40:52 time: 0.3807 data_time: 0.0039 loss: 2.1791 03/03 04:45:00 - mmengine - INFO - Epoch(train) [11][1500/5005] lr: 9.7553e-02 eta: 1 day, 22:39:59 time: 0.3467 data_time: 0.0042 loss: 2.5783 03/03 04:45:35 - mmengine - INFO - Epoch(train) [11][1600/5005] lr: 9.7553e-02 eta: 1 day, 22:39:07 time: 0.3543 data_time: 0.0041 loss: 2.5115 03/03 04:46:11 - mmengine - INFO - Epoch(train) [11][1700/5005] lr: 9.7553e-02 eta: 1 day, 22:38:17 time: 0.3576 data_time: 0.0042 loss: 2.5275 03/03 04:46:47 - mmengine - INFO - Epoch(train) [11][1800/5005] lr: 9.7553e-02 eta: 1 day, 22:37:23 time: 0.3452 data_time: 0.0042 loss: 2.2220 03/03 04:47:23 - mmengine - INFO - Epoch(train) [11][1900/5005] lr: 9.7553e-02 eta: 1 day, 22:36:35 time: 0.3554 data_time: 0.0049 loss: 2.3263 03/03 04:47:41 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 04:47:59 - mmengine - INFO - Epoch(train) [11][2000/5005] lr: 9.7553e-02 eta: 1 day, 22:35:48 time: 0.3697 data_time: 0.0045 loss: 2.2977 03/03 04:48:36 - mmengine - INFO - Epoch(train) [11][2100/5005] lr: 9.7553e-02 eta: 1 day, 22:35:00 time: 0.3815 data_time: 0.0055 loss: 2.3069 03/03 04:49:12 - mmengine - INFO - Epoch(train) [11][2200/5005] lr: 9.7553e-02 eta: 1 day, 22:34:11 time: 0.3504 data_time: 0.0049 loss: 2.2282 03/03 04:49:47 - mmengine - INFO - Epoch(train) [11][2300/5005] lr: 9.7553e-02 eta: 1 day, 22:33:20 time: 0.3525 data_time: 0.0046 loss: 2.4334 03/03 04:50:23 - mmengine - INFO - Epoch(train) [11][2400/5005] lr: 9.7553e-02 eta: 1 day, 22:32:31 time: 0.3587 data_time: 0.0048 loss: 2.4933 03/03 04:50:59 - mmengine - INFO - Epoch(train) [11][2500/5005] lr: 9.7553e-02 eta: 1 day, 22:31:40 time: 0.3434 data_time: 0.0047 loss: 2.1017 03/03 04:51:35 - mmengine - INFO - Epoch(train) [11][2600/5005] lr: 9.7553e-02 eta: 1 day, 22:30:50 time: 0.3615 data_time: 0.0047 loss: 2.4413 03/03 04:52:11 - mmengine - INFO - Epoch(train) [11][2700/5005] lr: 9.7553e-02 eta: 1 day, 22:30:00 time: 0.3612 data_time: 0.0054 loss: 2.4122 03/03 04:52:47 - mmengine - INFO - Epoch(train) [11][2800/5005] lr: 9.7553e-02 eta: 1 day, 22:29:07 time: 0.3550 data_time: 0.0045 loss: 2.3259 03/03 04:53:23 - mmengine - INFO - Epoch(train) [11][2900/5005] lr: 9.7553e-02 eta: 1 day, 22:28:16 time: 0.3526 data_time: 0.0044 loss: 2.3920 03/03 04:53:41 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 04:53:59 - mmengine - INFO - Epoch(train) [11][3000/5005] lr: 9.7553e-02 eta: 1 day, 22:27:30 time: 0.3588 data_time: 0.0044 loss: 2.4173 03/03 04:54:34 - mmengine - INFO - Epoch(train) [11][3100/5005] lr: 9.7553e-02 eta: 1 day, 22:26:37 time: 0.3463 data_time: 0.0042 loss: 2.2951 03/03 04:55:10 - mmengine - INFO - Epoch(train) [11][3200/5005] lr: 9.7553e-02 eta: 1 day, 22:25:48 time: 0.3644 data_time: 0.0044 loss: 2.3446 03/03 04:55:46 - mmengine - INFO - Epoch(train) [11][3300/5005] lr: 9.7553e-02 eta: 1 day, 22:24:55 time: 0.3473 data_time: 0.0038 loss: 2.2668 03/03 04:56:22 - mmengine - INFO - Epoch(train) [11][3400/5005] lr: 9.7553e-02 eta: 1 day, 22:24:06 time: 0.4209 data_time: 0.0043 loss: 2.2596 03/03 04:56:58 - mmengine - INFO - Epoch(train) [11][3500/5005] lr: 9.7553e-02 eta: 1 day, 22:23:16 time: 0.3569 data_time: 0.0038 loss: 2.3570 03/03 04:57:33 - mmengine - INFO - Epoch(train) [11][3600/5005] lr: 9.7553e-02 eta: 1 day, 22:22:23 time: 0.3412 data_time: 0.0040 loss: 2.1144 03/03 04:58:09 - mmengine - INFO - Epoch(train) [11][3700/5005] lr: 9.7553e-02 eta: 1 day, 22:21:31 time: 0.3483 data_time: 0.0038 loss: 2.3718 03/03 04:58:45 - mmengine - INFO - Epoch(train) [11][3800/5005] lr: 9.7553e-02 eta: 1 day, 22:20:42 time: 0.3636 data_time: 0.0040 loss: 2.4115 03/03 04:59:21 - mmengine - INFO - Epoch(train) [11][3900/5005] lr: 9.7553e-02 eta: 1 day, 22:19:52 time: 0.3581 data_time: 0.0037 loss: 2.5420 03/03 04:59:38 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 04:59:56 - mmengine - INFO - Epoch(train) [11][4000/5005] lr: 9.7553e-02 eta: 1 day, 22:18:57 time: 0.3501 data_time: 0.0037 loss: 2.5440 03/03 05:00:32 - mmengine - INFO - Epoch(train) [11][4100/5005] lr: 9.7553e-02 eta: 1 day, 22:18:06 time: 0.3484 data_time: 0.0037 loss: 2.3132 03/03 05:01:07 - mmengine - INFO - Epoch(train) [11][4200/5005] lr: 9.7553e-02 eta: 1 day, 22:17:14 time: 0.3595 data_time: 0.0040 loss: 2.2786 03/03 05:01:43 - mmengine - INFO - Epoch(train) [11][4300/5005] lr: 9.7553e-02 eta: 1 day, 22:16:21 time: 0.3520 data_time: 0.0039 loss: 2.5598 03/03 05:02:19 - mmengine - INFO - Epoch(train) [11][4400/5005] lr: 9.7553e-02 eta: 1 day, 22:15:33 time: 0.3688 data_time: 0.0039 loss: 2.2310 03/03 05:02:55 - mmengine - INFO - Epoch(train) [11][4500/5005] lr: 9.7553e-02 eta: 1 day, 22:14:42 time: 0.3644 data_time: 0.0036 loss: 2.3830 03/03 05:03:30 - mmengine - INFO - Epoch(train) [11][4600/5005] lr: 9.7553e-02 eta: 1 day, 22:13:52 time: 0.3473 data_time: 0.0040 loss: 2.2656 03/03 05:04:06 - mmengine - INFO - Epoch(train) [11][4700/5005] lr: 9.7553e-02 eta: 1 day, 22:13:00 time: 0.3507 data_time: 0.0040 loss: 2.5160 03/03 05:04:41 - mmengine - INFO - Epoch(train) [11][4800/5005] lr: 9.7553e-02 eta: 1 day, 22:12:09 time: 0.3549 data_time: 0.0040 loss: 2.1600 03/03 05:05:19 - mmengine - INFO - Epoch(train) [11][4900/5005] lr: 9.7553e-02 eta: 1 day, 22:11:32 time: 0.4585 data_time: 0.0041 loss: 2.2679 03/03 05:05:40 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 05:06:02 - mmengine - INFO - Epoch(train) [11][5000/5005] lr: 9.7553e-02 eta: 1 day, 22:11:45 time: 0.4497 data_time: 0.0042 loss: 2.1359 03/03 05:06:05 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 05:06:08 - mmengine - INFO - Saving checkpoint at 11 epochs 03/03 05:06:24 - mmengine - INFO - Epoch(val) [11][100/196] eta: 0:00:14 time: 0.0521 data_time: 0.0003 03/03 05:06:41 - mmengine - INFO - Epoch(val) [11][196/196] accuracy/top1: 53.3080 accuracy/top5: 78.4200 03/03 05:07:25 - mmengine - INFO - Epoch(train) [12][ 100/5005] lr: 9.7044e-02 eta: 1 day, 22:12:01 time: 0.3602 data_time: 0.0037 loss: 2.2765 03/03 05:08:01 - mmengine - INFO - Epoch(train) [12][ 200/5005] lr: 9.7044e-02 eta: 1 day, 22:11:12 time: 0.3437 data_time: 0.0039 loss: 2.6488 03/03 05:08:36 - mmengine - INFO - Epoch(train) [12][ 300/5005] lr: 9.7044e-02 eta: 1 day, 22:10:19 time: 0.3677 data_time: 0.0040 loss: 2.2009 03/03 05:09:11 - mmengine - INFO - Epoch(train) [12][ 400/5005] lr: 9.7044e-02 eta: 1 day, 22:09:24 time: 0.3608 data_time: 0.0038 loss: 2.2299 03/03 05:09:47 - mmengine - INFO - Epoch(train) [12][ 500/5005] lr: 9.7044e-02 eta: 1 day, 22:08:32 time: 0.3774 data_time: 0.0039 loss: 2.3693 03/03 05:10:22 - mmengine - INFO - Epoch(train) [12][ 600/5005] lr: 9.7044e-02 eta: 1 day, 22:07:37 time: 0.3537 data_time: 0.0039 loss: 2.3407 03/03 05:10:58 - mmengine - INFO - Epoch(train) [12][ 700/5005] lr: 9.7044e-02 eta: 1 day, 22:06:47 time: 0.3537 data_time: 0.0038 loss: 2.3620 03/03 05:11:33 - mmengine - INFO - Epoch(train) [12][ 800/5005] lr: 9.7044e-02 eta: 1 day, 22:05:54 time: 0.3592 data_time: 0.0037 loss: 2.1878 03/03 05:12:08 - mmengine - INFO - Epoch(train) [12][ 900/5005] lr: 9.7044e-02 eta: 1 day, 22:05:00 time: 0.3472 data_time: 0.0039 loss: 2.1624 03/03 05:12:25 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 05:12:44 - mmengine - INFO - Epoch(train) [12][1000/5005] lr: 9.7044e-02 eta: 1 day, 22:04:09 time: 0.3519 data_time: 0.0040 loss: 2.3324 03/03 05:13:20 - mmengine - INFO - Epoch(train) [12][1100/5005] lr: 9.7044e-02 eta: 1 day, 22:03:16 time: 0.3454 data_time: 0.0040 loss: 2.3843 03/03 05:13:55 - mmengine - INFO - Epoch(train) [12][1200/5005] lr: 9.7044e-02 eta: 1 day, 22:02:23 time: 0.3676 data_time: 0.0038 loss: 2.4274 03/03 05:14:30 - mmengine - INFO - Epoch(train) [12][1300/5005] lr: 9.7044e-02 eta: 1 day, 22:01:30 time: 0.3615 data_time: 0.0038 loss: 2.2294 03/03 05:15:05 - mmengine - INFO - Epoch(train) [12][1400/5005] lr: 9.7044e-02 eta: 1 day, 22:00:35 time: 0.3428 data_time: 0.0038 loss: 2.6515 03/03 05:15:40 - mmengine - INFO - Epoch(train) [12][1500/5005] lr: 9.7044e-02 eta: 1 day, 21:59:41 time: 0.3444 data_time: 0.0038 loss: 2.4355 03/03 05:16:16 - mmengine - INFO - Epoch(train) [12][1600/5005] lr: 9.7044e-02 eta: 1 day, 21:58:49 time: 0.3626 data_time: 0.0037 loss: 2.4410 03/03 05:16:51 - mmengine - INFO - Epoch(train) [12][1700/5005] lr: 9.7044e-02 eta: 1 day, 21:57:53 time: 0.3477 data_time: 0.0038 loss: 2.3060 03/03 05:17:26 - mmengine - INFO - Epoch(train) [12][1800/5005] lr: 9.7044e-02 eta: 1 day, 21:56:58 time: 0.3517 data_time: 0.0039 loss: 2.3053 03/03 05:18:01 - mmengine - INFO - Epoch(train) [12][1900/5005] lr: 9.7044e-02 eta: 1 day, 21:56:06 time: 0.3536 data_time: 0.0038 loss: 2.3680 03/03 05:18:17 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 05:18:36 - mmengine - INFO - Epoch(train) [12][2000/5005] lr: 9.7044e-02 eta: 1 day, 21:55:13 time: 0.3510 data_time: 0.0038 loss: 2.4754 03/03 05:19:12 - mmengine - INFO - Epoch(train) [12][2100/5005] lr: 9.7044e-02 eta: 1 day, 21:54:21 time: 0.3701 data_time: 0.0040 loss: 2.3920 03/03 05:19:47 - mmengine - INFO - Epoch(train) [12][2200/5005] lr: 9.7044e-02 eta: 1 day, 21:53:26 time: 0.3930 data_time: 0.0038 loss: 2.6539 03/03 05:20:22 - mmengine - INFO - Epoch(train) [12][2300/5005] lr: 9.7044e-02 eta: 1 day, 21:52:31 time: 0.3424 data_time: 0.0040 loss: 2.1995 03/03 05:20:57 - mmengine - INFO - Epoch(train) [12][2400/5005] lr: 9.7044e-02 eta: 1 day, 21:51:38 time: 0.3402 data_time: 0.0039 loss: 2.5010 03/03 05:21:32 - mmengine - INFO - Epoch(train) [12][2500/5005] lr: 9.7044e-02 eta: 1 day, 21:50:42 time: 0.3398 data_time: 0.0041 loss: 2.3067 03/03 05:22:08 - mmengine - INFO - Epoch(train) [12][2600/5005] lr: 9.7044e-02 eta: 1 day, 21:49:51 time: 0.3510 data_time: 0.0040 loss: 2.1551 03/03 05:22:43 - mmengine - INFO - Epoch(train) [12][2700/5005] lr: 9.7044e-02 eta: 1 day, 21:48:58 time: 0.3450 data_time: 0.0040 loss: 2.5615 03/03 05:23:18 - mmengine - INFO - Epoch(train) [12][2800/5005] lr: 9.7044e-02 eta: 1 day, 21:48:02 time: 0.3509 data_time: 0.0038 loss: 2.4228 03/03 05:23:53 - mmengine - INFO - Epoch(train) [12][2900/5005] lr: 9.7044e-02 eta: 1 day, 21:47:08 time: 0.3579 data_time: 0.0040 loss: 2.2737 03/03 05:24:08 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 05:24:28 - mmengine - INFO - Epoch(train) [12][3000/5005] lr: 9.7044e-02 eta: 1 day, 21:46:13 time: 0.3529 data_time: 0.0038 loss: 2.5603 03/03 05:25:03 - mmengine - INFO - Epoch(train) [12][3100/5005] lr: 9.7044e-02 eta: 1 day, 21:45:19 time: 0.3498 data_time: 0.0039 loss: 2.1497 03/03 05:25:38 - mmengine - INFO - Epoch(train) [12][3200/5005] lr: 9.7044e-02 eta: 1 day, 21:44:25 time: 0.3517 data_time: 0.0039 loss: 2.2213 03/03 05:26:13 - mmengine - INFO - Epoch(train) [12][3300/5005] lr: 9.7044e-02 eta: 1 day, 21:43:30 time: 0.3459 data_time: 0.0038 loss: 2.3678 03/03 05:26:48 - mmengine - INFO - Epoch(train) [12][3400/5005] lr: 9.7044e-02 eta: 1 day, 21:42:37 time: 0.3421 data_time: 0.0039 loss: 2.3933 03/03 05:27:22 - mmengine - INFO - Epoch(train) [12][3500/5005] lr: 9.7044e-02 eta: 1 day, 21:41:41 time: 0.3459 data_time: 0.0039 loss: 2.3762 03/03 05:27:58 - mmengine - INFO - Epoch(train) [12][3600/5005] lr: 9.7044e-02 eta: 1 day, 21:40:47 time: 0.3445 data_time: 0.0038 loss: 2.3289 03/03 05:28:33 - mmengine - INFO - Epoch(train) [12][3700/5005] lr: 9.7044e-02 eta: 1 day, 21:39:58 time: 0.3609 data_time: 0.0037 loss: 2.2969 03/03 05:29:08 - mmengine - INFO - Epoch(train) [12][3800/5005] lr: 9.7044e-02 eta: 1 day, 21:39:01 time: 0.3452 data_time: 0.0039 loss: 2.1771 03/03 05:29:43 - mmengine - INFO - Epoch(train) [12][3900/5005] lr: 9.7044e-02 eta: 1 day, 21:38:09 time: 0.3487 data_time: 0.0039 loss: 2.2297 03/03 05:29:59 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 05:30:18 - mmengine - INFO - Epoch(train) [12][4000/5005] lr: 9.7044e-02 eta: 1 day, 21:37:14 time: 0.3428 data_time: 0.0040 loss: 2.4165 03/03 05:30:53 - mmengine - INFO - Epoch(train) [12][4100/5005] lr: 9.7044e-02 eta: 1 day, 21:36:24 time: 0.3517 data_time: 0.0039 loss: 2.3641 03/03 05:31:28 - mmengine - INFO - Epoch(train) [12][4200/5005] lr: 9.7044e-02 eta: 1 day, 21:35:31 time: 0.3413 data_time: 0.0037 loss: 2.4592 03/03 05:32:03 - mmengine - INFO - Epoch(train) [12][4300/5005] lr: 9.7044e-02 eta: 1 day, 21:34:37 time: 0.3710 data_time: 0.0039 loss: 2.3734 03/03 05:32:39 - mmengine - INFO - Epoch(train) [12][4400/5005] lr: 9.7044e-02 eta: 1 day, 21:33:44 time: 0.3547 data_time: 0.0039 loss: 2.6347 03/03 05:33:14 - mmengine - INFO - Epoch(train) [12][4500/5005] lr: 9.7044e-02 eta: 1 day, 21:32:51 time: 0.3510 data_time: 0.0037 loss: 2.2140 03/03 05:33:48 - mmengine - INFO - Epoch(train) [12][4600/5005] lr: 9.7044e-02 eta: 1 day, 21:31:56 time: 0.3500 data_time: 0.0039 loss: 2.2109 03/03 05:34:23 - mmengine - INFO - Epoch(train) [12][4700/5005] lr: 9.7044e-02 eta: 1 day, 21:31:03 time: 0.3449 data_time: 0.0040 loss: 2.2440 03/03 05:34:59 - mmengine - INFO - Epoch(train) [12][4800/5005] lr: 9.7044e-02 eta: 1 day, 21:30:11 time: 0.3678 data_time: 0.0038 loss: 2.3588 03/03 05:35:35 - mmengine - INFO - Epoch(train) [12][4900/5005] lr: 9.7044e-02 eta: 1 day, 21:29:25 time: 0.4106 data_time: 0.0042 loss: 2.1906 03/03 05:35:54 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 05:36:16 - mmengine - INFO - Epoch(train) [12][5000/5005] lr: 9.7044e-02 eta: 1 day, 21:29:22 time: 0.4033 data_time: 0.0040 loss: 2.1810 03/03 05:36:19 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 05:36:22 - mmengine - INFO - Saving checkpoint at 12 epochs 03/03 05:36:38 - mmengine - INFO - Epoch(val) [12][100/196] eta: 0:00:14 time: 0.0460 data_time: 0.0002 03/03 05:36:54 - mmengine - INFO - Epoch(val) [12][196/196] accuracy/top1: 53.5960 accuracy/top5: 78.7960 03/03 05:37:38 - mmengine - INFO - Epoch(train) [13][ 100/5005] lr: 9.6489e-02 eta: 1 day, 21:29:33 time: 0.3630 data_time: 0.0042 loss: 2.1887 03/03 05:38:13 - mmengine - INFO - Epoch(train) [13][ 200/5005] lr: 9.6489e-02 eta: 1 day, 21:28:39 time: 0.3439 data_time: 0.0039 loss: 2.2162 03/03 05:38:48 - mmengine - INFO - Epoch(train) [13][ 300/5005] lr: 9.6489e-02 eta: 1 day, 21:27:49 time: 0.3382 data_time: 0.0041 loss: 2.3044 03/03 05:39:24 - mmengine - INFO - Epoch(train) [13][ 400/5005] lr: 9.6489e-02 eta: 1 day, 21:27:01 time: 0.3634 data_time: 0.0040 loss: 2.4478 03/03 05:39:59 - mmengine - INFO - Epoch(train) [13][ 500/5005] lr: 9.6489e-02 eta: 1 day, 21:26:08 time: 0.3645 data_time: 0.0037 loss: 2.2370 03/03 05:40:34 - mmengine - INFO - Epoch(train) [13][ 600/5005] lr: 9.6489e-02 eta: 1 day, 21:25:17 time: 0.3393 data_time: 0.0039 loss: 2.4181 03/03 05:41:09 - mmengine - INFO - Epoch(train) [13][ 700/5005] lr: 9.6489e-02 eta: 1 day, 21:24:25 time: 0.3659 data_time: 0.0040 loss: 2.0025 03/03 05:41:45 - mmengine - INFO - Epoch(train) [13][ 800/5005] lr: 9.6489e-02 eta: 1 day, 21:23:34 time: 0.3446 data_time: 0.0039 loss: 2.1649 03/03 05:42:20 - mmengine - INFO - Epoch(train) [13][ 900/5005] lr: 9.6489e-02 eta: 1 day, 21:22:43 time: 0.3555 data_time: 0.0039 loss: 2.0227 03/03 05:42:34 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 05:42:55 - mmengine - INFO - Epoch(train) [13][1000/5005] lr: 9.6489e-02 eta: 1 day, 21:21:50 time: 0.3400 data_time: 0.0039 loss: 2.5591 03/03 05:43:30 - mmengine - INFO - Epoch(train) [13][1100/5005] lr: 9.6489e-02 eta: 1 day, 21:20:58 time: 0.3388 data_time: 0.0040 loss: 2.2898 03/03 05:44:05 - mmengine - INFO - Epoch(train) [13][1200/5005] lr: 9.6489e-02 eta: 1 day, 21:20:08 time: 0.3840 data_time: 0.0040 loss: 2.2660 03/03 05:44:41 - mmengine - INFO - Epoch(train) [13][1300/5005] lr: 9.6489e-02 eta: 1 day, 21:19:16 time: 0.3709 data_time: 0.0038 loss: 2.1893 03/03 05:45:16 - mmengine - INFO - Epoch(train) [13][1400/5005] lr: 9.6489e-02 eta: 1 day, 21:18:25 time: 0.3449 data_time: 0.0040 loss: 2.2039 03/03 05:45:51 - mmengine - INFO - Epoch(train) [13][1500/5005] lr: 9.6489e-02 eta: 1 day, 21:17:33 time: 0.3449 data_time: 0.0042 loss: 2.5960 03/03 05:46:26 - mmengine - INFO - Epoch(train) [13][1600/5005] lr: 9.6489e-02 eta: 1 day, 21:16:42 time: 0.3443 data_time: 0.0039 loss: 2.0905 03/03 05:47:02 - mmengine - INFO - Epoch(train) [13][1700/5005] lr: 9.6489e-02 eta: 1 day, 21:15:55 time: 0.3517 data_time: 0.0040 loss: 2.0101 03/03 05:47:37 - mmengine - INFO - Epoch(train) [13][1800/5005] lr: 9.6489e-02 eta: 1 day, 21:15:04 time: 0.3448 data_time: 0.0039 loss: 2.4689 03/03 05:48:12 - mmengine - INFO - Epoch(train) [13][1900/5005] lr: 9.6489e-02 eta: 1 day, 21:14:12 time: 0.3447 data_time: 0.0038 loss: 2.4994 03/03 05:48:26 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 05:48:47 - mmengine - INFO - Epoch(train) [13][2000/5005] lr: 9.6489e-02 eta: 1 day, 21:13:22 time: 0.3650 data_time: 0.0041 loss: 2.2828 03/03 05:49:22 - mmengine - INFO - Epoch(train) [13][2100/5005] lr: 9.6489e-02 eta: 1 day, 21:12:28 time: 0.3695 data_time: 0.0038 loss: 2.0994 03/03 05:49:57 - mmengine - INFO - Epoch(train) [13][2200/5005] lr: 9.6489e-02 eta: 1 day, 21:11:37 time: 0.3492 data_time: 0.0040 loss: 2.2454 03/03 05:50:33 - mmengine - INFO - Epoch(train) [13][2300/5005] lr: 9.6489e-02 eta: 1 day, 21:10:49 time: 0.3492 data_time: 0.0041 loss: 2.3204 03/03 05:51:09 - mmengine - INFO - Epoch(train) [13][2400/5005] lr: 9.6489e-02 eta: 1 day, 21:10:02 time: 0.3524 data_time: 0.0038 loss: 2.1621 03/03 05:51:44 - mmengine - INFO - Epoch(train) [13][2500/5005] lr: 9.6489e-02 eta: 1 day, 21:09:14 time: 0.3447 data_time: 0.0040 loss: 2.2438 03/03 05:52:20 - mmengine - INFO - Epoch(train) [13][2600/5005] lr: 9.6489e-02 eta: 1 day, 21:08:24 time: 0.3403 data_time: 0.0039 loss: 2.4012 03/03 05:52:55 - mmengine - INFO - Epoch(train) [13][2700/5005] lr: 9.6489e-02 eta: 1 day, 21:07:36 time: 0.3549 data_time: 0.0040 loss: 2.1612 03/03 05:53:31 - mmengine - INFO - Epoch(train) [13][2800/5005] lr: 9.6489e-02 eta: 1 day, 21:06:47 time: 0.3516 data_time: 0.0041 loss: 2.2882 03/03 05:54:06 - mmengine - INFO - Epoch(train) [13][2900/5005] lr: 9.6489e-02 eta: 1 day, 21:05:57 time: 0.3636 data_time: 0.0042 loss: 2.4084 03/03 05:54:20 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 05:54:41 - mmengine - INFO - Epoch(train) [13][3000/5005] lr: 9.6489e-02 eta: 1 day, 21:05:07 time: 0.3410 data_time: 0.0039 loss: 2.2418 03/03 05:55:16 - mmengine - INFO - Epoch(train) [13][3100/5005] lr: 9.6489e-02 eta: 1 day, 21:04:15 time: 0.3493 data_time: 0.0038 loss: 2.1485 03/03 05:55:52 - mmengine - INFO - Epoch(train) [13][3200/5005] lr: 9.6489e-02 eta: 1 day, 21:03:29 time: 0.3616 data_time: 0.0038 loss: 2.3230 03/03 05:56:27 - mmengine - INFO - Epoch(train) [13][3300/5005] lr: 9.6489e-02 eta: 1 day, 21:02:38 time: 0.3364 data_time: 0.0039 loss: 2.1358 03/03 05:57:02 - mmengine - INFO - Epoch(train) [13][3400/5005] lr: 9.6489e-02 eta: 1 day, 21:01:49 time: 0.3430 data_time: 0.0038 loss: 2.3543 03/03 05:57:37 - mmengine - INFO - Epoch(train) [13][3500/5005] lr: 9.6489e-02 eta: 1 day, 21:00:56 time: 0.3384 data_time: 0.0039 loss: 2.4130 03/03 05:58:13 - mmengine - INFO - Epoch(train) [13][3600/5005] lr: 9.6489e-02 eta: 1 day, 21:00:07 time: 0.3597 data_time: 0.0038 loss: 2.0871 03/03 05:58:48 - mmengine - INFO - Epoch(train) [13][3700/5005] lr: 9.6489e-02 eta: 1 day, 20:59:18 time: 0.3443 data_time: 0.0041 loss: 2.4209 03/03 05:59:23 - mmengine - INFO - Epoch(train) [13][3800/5005] lr: 9.6489e-02 eta: 1 day, 20:58:30 time: 0.3634 data_time: 0.0042 loss: 2.1785 03/03 05:59:59 - mmengine - INFO - Epoch(train) [13][3900/5005] lr: 9.6489e-02 eta: 1 day, 20:57:42 time: 0.3565 data_time: 0.0037 loss: 2.1338 03/03 06:00:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 06:00:34 - mmengine - INFO - Epoch(train) [13][4000/5005] lr: 9.6489e-02 eta: 1 day, 20:56:53 time: 0.3714 data_time: 0.0039 loss: 2.2901 03/03 06:01:10 - mmengine - INFO - Epoch(train) [13][4100/5005] lr: 9.6489e-02 eta: 1 day, 20:56:04 time: 0.3455 data_time: 0.0040 loss: 2.3561 03/03 06:01:45 - mmengine - INFO - Epoch(train) [13][4200/5005] lr: 9.6489e-02 eta: 1 day, 20:55:14 time: 0.3615 data_time: 0.0041 loss: 2.3476 03/03 06:02:20 - mmengine - INFO - Epoch(train) [13][4300/5005] lr: 9.6489e-02 eta: 1 day, 20:54:25 time: 0.3428 data_time: 0.0038 loss: 1.9757 03/03 06:02:56 - mmengine - INFO - Epoch(train) [13][4400/5005] lr: 9.6489e-02 eta: 1 day, 20:53:37 time: 0.3595 data_time: 0.0038 loss: 2.3741 03/03 06:03:31 - mmengine - INFO - Epoch(train) [13][4500/5005] lr: 9.6489e-02 eta: 1 day, 20:52:48 time: 0.3525 data_time: 0.0038 loss: 2.2484 03/03 06:04:06 - mmengine - INFO - Epoch(train) [13][4600/5005] lr: 9.6489e-02 eta: 1 day, 20:51:58 time: 0.3459 data_time: 0.0041 loss: 2.4056 03/03 06:04:42 - mmengine - INFO - Epoch(train) [13][4700/5005] lr: 9.6489e-02 eta: 1 day, 20:51:11 time: 0.3489 data_time: 0.0039 loss: 2.2863 03/03 06:05:17 - mmengine - INFO - Epoch(train) [13][4800/5005] lr: 9.6489e-02 eta: 1 day, 20:50:23 time: 0.3493 data_time: 0.0038 loss: 2.3616 03/03 06:05:54 - mmengine - INFO - Epoch(train) [13][4900/5005] lr: 9.6489e-02 eta: 1 day, 20:49:44 time: 0.4530 data_time: 0.0042 loss: 2.3399 03/03 06:06:12 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 06:06:38 - mmengine - INFO - Epoch(train) [13][5000/5005] lr: 9.6489e-02 eta: 1 day, 20:49:50 time: 0.4269 data_time: 0.0041 loss: 2.1627 03/03 06:06:40 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 06:06:43 - mmengine - INFO - Saving checkpoint at 13 epochs 03/03 06:06:59 - mmengine - INFO - Epoch(val) [13][100/196] eta: 0:00:14 time: 0.0397 data_time: 0.0002 03/03 06:07:15 - mmengine - INFO - Epoch(val) [13][196/196] accuracy/top1: 52.9100 accuracy/top5: 78.5600 03/03 06:07:59 - mmengine - INFO - Epoch(train) [14][ 100/5005] lr: 9.5888e-02 eta: 1 day, 20:50:00 time: 0.3476 data_time: 0.0043 loss: 2.1073 03/03 06:08:35 - mmengine - INFO - Epoch(train) [14][ 200/5005] lr: 9.5888e-02 eta: 1 day, 20:49:13 time: 0.3446 data_time: 0.0044 loss: 2.1713 03/03 06:09:10 - mmengine - INFO - Epoch(train) [14][ 300/5005] lr: 9.5888e-02 eta: 1 day, 20:48:25 time: 0.3456 data_time: 0.0045 loss: 2.0541 03/03 06:09:46 - mmengine - INFO - Epoch(train) [14][ 400/5005] lr: 9.5888e-02 eta: 1 day, 20:47:38 time: 0.3387 data_time: 0.0040 loss: 2.3757 03/03 06:10:21 - mmengine - INFO - Epoch(train) [14][ 500/5005] lr: 9.5888e-02 eta: 1 day, 20:46:50 time: 0.3783 data_time: 0.0038 loss: 2.4600 03/03 06:10:56 - mmengine - INFO - Epoch(train) [14][ 600/5005] lr: 9.5888e-02 eta: 1 day, 20:46:00 time: 0.3657 data_time: 0.0042 loss: 2.2138 03/03 06:11:31 - mmengine - INFO - Epoch(train) [14][ 700/5005] lr: 9.5888e-02 eta: 1 day, 20:45:09 time: 0.3439 data_time: 0.0041 loss: 2.3547 03/03 06:12:06 - mmengine - INFO - Epoch(train) [14][ 800/5005] lr: 9.5888e-02 eta: 1 day, 20:44:18 time: 0.3368 data_time: 0.0042 loss: 2.2328 03/03 06:12:42 - mmengine - INFO - Epoch(train) [14][ 900/5005] lr: 9.5888e-02 eta: 1 day, 20:43:30 time: 0.3403 data_time: 0.0042 loss: 2.1657 03/03 06:12:54 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 06:13:17 - mmengine - INFO - Epoch(train) [14][1000/5005] lr: 9.5888e-02 eta: 1 day, 20:42:41 time: 0.3550 data_time: 0.0042 loss: 2.2720 03/03 06:13:52 - mmengine - INFO - Epoch(train) [14][1100/5005] lr: 9.5888e-02 eta: 1 day, 20:41:51 time: 0.3443 data_time: 0.0042 loss: 2.1745 03/03 06:14:27 - mmengine - INFO - Epoch(train) [14][1200/5005] lr: 9.5888e-02 eta: 1 day, 20:41:01 time: 0.3728 data_time: 0.0038 loss: 2.2429 03/03 06:15:02 - mmengine - INFO - Epoch(train) [14][1300/5005] lr: 9.5888e-02 eta: 1 day, 20:40:14 time: 0.3509 data_time: 0.0037 loss: 2.1247 03/03 06:15:38 - mmengine - INFO - Epoch(train) [14][1400/5005] lr: 9.5888e-02 eta: 1 day, 20:39:25 time: 0.3431 data_time: 0.0040 loss: 2.3566 03/03 06:16:13 - mmengine - INFO - Epoch(train) [14][1500/5005] lr: 9.5888e-02 eta: 1 day, 20:38:37 time: 0.3501 data_time: 0.0040 loss: 2.0985 03/03 06:16:48 - mmengine - INFO - Epoch(train) [14][1600/5005] lr: 9.5888e-02 eta: 1 day, 20:37:46 time: 0.3421 data_time: 0.0039 loss: 2.1750 03/03 06:17:23 - mmengine - INFO - Epoch(train) [14][1700/5005] lr: 9.5888e-02 eta: 1 day, 20:36:57 time: 0.3475 data_time: 0.0038 loss: 2.3104 03/03 06:17:58 - mmengine - INFO - Epoch(train) [14][1800/5005] lr: 9.5888e-02 eta: 1 day, 20:36:05 time: 0.3450 data_time: 0.0039 loss: 2.3184 03/03 06:18:34 - mmengine - INFO - Epoch(train) [14][1900/5005] lr: 9.5888e-02 eta: 1 day, 20:35:18 time: 0.3817 data_time: 0.0037 loss: 2.3241 03/03 06:18:46 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 06:19:09 - mmengine - INFO - Epoch(train) [14][2000/5005] lr: 9.5888e-02 eta: 1 day, 20:34:29 time: 0.3421 data_time: 0.0040 loss: 2.3822 03/03 06:19:44 - mmengine - INFO - Epoch(train) [14][2100/5005] lr: 9.5888e-02 eta: 1 day, 20:33:40 time: 0.3455 data_time: 0.0041 loss: 2.2820 03/03 06:20:19 - mmengine - INFO - Epoch(train) [14][2200/5005] lr: 9.5888e-02 eta: 1 day, 20:32:52 time: 0.3496 data_time: 0.0039 loss: 2.3468 03/03 06:20:54 - mmengine - INFO - Epoch(train) [14][2300/5005] lr: 9.5888e-02 eta: 1 day, 20:32:02 time: 0.3389 data_time: 0.0039 loss: 2.2923 03/03 06:21:29 - mmengine - INFO - Epoch(train) [14][2400/5005] lr: 9.5888e-02 eta: 1 day, 20:31:13 time: 0.3746 data_time: 0.0039 loss: 2.3026 03/03 06:22:05 - mmengine - INFO - Epoch(train) [14][2500/5005] lr: 9.5888e-02 eta: 1 day, 20:30:28 time: 0.3672 data_time: 0.0038 loss: 2.4338 03/03 06:22:40 - mmengine - INFO - Epoch(train) [14][2600/5005] lr: 9.5888e-02 eta: 1 day, 20:29:37 time: 0.3492 data_time: 0.0041 loss: 2.2360 03/03 06:23:15 - mmengine - INFO - Epoch(train) [14][2700/5005] lr: 9.5888e-02 eta: 1 day, 20:28:48 time: 0.3538 data_time: 0.0037 loss: 2.2504 03/03 06:23:50 - mmengine - INFO - Epoch(train) [14][2800/5005] lr: 9.5888e-02 eta: 1 day, 20:27:59 time: 0.3493 data_time: 0.0039 loss: 1.9888 03/03 06:24:26 - mmengine - INFO - Epoch(train) [14][2900/5005] lr: 9.5888e-02 eta: 1 day, 20:27:11 time: 0.3379 data_time: 0.0038 loss: 2.4361 03/03 06:24:38 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 06:25:00 - mmengine - INFO - Epoch(train) [14][3000/5005] lr: 9.5888e-02 eta: 1 day, 20:26:20 time: 0.3456 data_time: 0.0041 loss: 2.2511 03/03 06:25:36 - mmengine - INFO - Epoch(train) [14][3100/5005] lr: 9.5888e-02 eta: 1 day, 20:25:34 time: 0.3725 data_time: 0.0040 loss: 2.3838 03/03 06:26:11 - mmengine - INFO - Epoch(train) [14][3200/5005] lr: 9.5888e-02 eta: 1 day, 20:24:45 time: 0.3635 data_time: 0.0041 loss: 2.3943 03/03 06:26:46 - mmengine - INFO - Epoch(train) [14][3300/5005] lr: 9.5888e-02 eta: 1 day, 20:23:57 time: 0.3580 data_time: 0.0041 loss: 2.4117 03/03 06:27:22 - mmengine - INFO - Epoch(train) [14][3400/5005] lr: 9.5888e-02 eta: 1 day, 20:23:08 time: 0.3491 data_time: 0.0039 loss: 2.3642 03/03 06:27:57 - mmengine - INFO - Epoch(train) [14][3500/5005] lr: 9.5888e-02 eta: 1 day, 20:22:19 time: 0.3494 data_time: 0.0039 loss: 2.3173 03/03 06:28:32 - mmengine - INFO - Epoch(train) [14][3600/5005] lr: 9.5888e-02 eta: 1 day, 20:21:30 time: 0.3388 data_time: 0.0042 loss: 2.2228 03/03 06:29:06 - mmengine - INFO - Epoch(train) [14][3700/5005] lr: 9.5888e-02 eta: 1 day, 20:20:39 time: 0.3339 data_time: 0.0039 loss: 2.1241 03/03 06:29:41 - mmengine - INFO - Epoch(train) [14][3800/5005] lr: 9.5888e-02 eta: 1 day, 20:19:48 time: 0.3537 data_time: 0.0040 loss: 2.3741 03/03 06:30:16 - mmengine - INFO - Epoch(train) [14][3900/5005] lr: 9.5888e-02 eta: 1 day, 20:19:00 time: 0.3472 data_time: 0.0041 loss: 2.1440 03/03 06:30:29 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 06:30:52 - mmengine - INFO - Epoch(train) [14][4000/5005] lr: 9.5888e-02 eta: 1 day, 20:18:12 time: 0.3511 data_time: 0.0039 loss: 2.4057 03/03 06:31:27 - mmengine - INFO - Epoch(train) [14][4100/5005] lr: 9.5888e-02 eta: 1 day, 20:17:22 time: 0.3486 data_time: 0.0040 loss: 2.3954 03/03 06:32:02 - mmengine - INFO - Epoch(train) [14][4200/5005] lr: 9.5888e-02 eta: 1 day, 20:16:35 time: 0.3488 data_time: 0.0038 loss: 2.1979 03/03 06:32:37 - mmengine - INFO - Epoch(train) [14][4300/5005] lr: 9.5888e-02 eta: 1 day, 20:15:49 time: 0.3565 data_time: 0.0039 loss: 2.2004 03/03 06:33:13 - mmengine - INFO - Epoch(train) [14][4400/5005] lr: 9.5888e-02 eta: 1 day, 20:15:02 time: 0.3462 data_time: 0.0039 loss: 2.3822 03/03 06:33:48 - mmengine - INFO - Epoch(train) [14][4500/5005] lr: 9.5888e-02 eta: 1 day, 20:14:16 time: 0.3551 data_time: 0.0038 loss: 2.4260 03/03 06:34:24 - mmengine - INFO - Epoch(train) [14][4600/5005] lr: 9.5888e-02 eta: 1 day, 20:13:28 time: 0.3544 data_time: 0.0038 loss: 2.1521 03/03 06:34:59 - mmengine - INFO - Epoch(train) [14][4700/5005] lr: 9.5888e-02 eta: 1 day, 20:12:41 time: 0.3611 data_time: 0.0038 loss: 2.3266 03/03 06:35:34 - mmengine - INFO - Epoch(train) [14][4800/5005] lr: 9.5888e-02 eta: 1 day, 20:11:52 time: 0.3625 data_time: 0.0040 loss: 2.1640 03/03 06:36:11 - mmengine - INFO - Epoch(train) [14][4900/5005] lr: 9.5888e-02 eta: 1 day, 20:11:16 time: 0.4606 data_time: 0.0041 loss: 2.4529 03/03 06:36:26 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 06:36:53 - mmengine - INFO - Epoch(train) [14][5000/5005] lr: 9.5888e-02 eta: 1 day, 20:11:11 time: 0.4081 data_time: 0.0056 loss: 2.3978 03/03 06:36:55 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 06:36:58 - mmengine - INFO - Saving checkpoint at 14 epochs 03/03 06:37:15 - mmengine - INFO - Epoch(val) [14][100/196] eta: 0:00:15 time: 0.0446 data_time: 0.0003 03/03 06:37:32 - mmengine - INFO - Epoch(val) [14][196/196] accuracy/top1: 54.5240 accuracy/top5: 79.2500 03/03 06:38:16 - mmengine - INFO - Epoch(train) [15][ 100/5005] lr: 9.5241e-02 eta: 1 day, 20:11:16 time: 0.3531 data_time: 0.0041 loss: 2.2644 03/03 06:38:51 - mmengine - INFO - Epoch(train) [15][ 200/5005] lr: 9.5241e-02 eta: 1 day, 20:10:30 time: 0.3479 data_time: 0.0042 loss: 2.1786 03/03 06:39:27 - mmengine - INFO - Epoch(train) [15][ 300/5005] lr: 9.5241e-02 eta: 1 day, 20:09:44 time: 0.3424 data_time: 0.0041 loss: 2.0502 03/03 06:40:03 - mmengine - INFO - Epoch(train) [15][ 400/5005] lr: 9.5241e-02 eta: 1 day, 20:09:03 time: 0.4124 data_time: 0.0041 loss: 2.1127 03/03 06:40:38 - mmengine - INFO - Epoch(train) [15][ 500/5005] lr: 9.5241e-02 eta: 1 day, 20:08:15 time: 0.3559 data_time: 0.0039 loss: 2.2425 03/03 06:41:14 - mmengine - INFO - Epoch(train) [15][ 600/5005] lr: 9.5241e-02 eta: 1 day, 20:07:30 time: 0.3607 data_time: 0.0039 loss: 2.3271 03/03 06:41:49 - mmengine - INFO - Epoch(train) [15][ 700/5005] lr: 9.5241e-02 eta: 1 day, 20:06:41 time: 0.3374 data_time: 0.0039 loss: 2.3755 03/03 06:42:24 - mmengine - INFO - Epoch(train) [15][ 800/5005] lr: 9.5241e-02 eta: 1 day, 20:05:52 time: 0.3455 data_time: 0.0038 loss: 2.2730 03/03 06:42:59 - mmengine - INFO - Epoch(train) [15][ 900/5005] lr: 9.5241e-02 eta: 1 day, 20:05:05 time: 0.3562 data_time: 0.0040 loss: 2.4632 03/03 06:43:10 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 06:43:34 - mmengine - INFO - Epoch(train) [15][1000/5005] lr: 9.5241e-02 eta: 1 day, 20:04:17 time: 0.3500 data_time: 0.0039 loss: 2.1719 03/03 06:44:09 - mmengine - INFO - Epoch(train) [15][1100/5005] lr: 9.5241e-02 eta: 1 day, 20:03:30 time: 0.3428 data_time: 0.0039 loss: 2.2595 03/03 06:44:45 - mmengine - INFO - Epoch(train) [15][1200/5005] lr: 9.5241e-02 eta: 1 day, 20:02:43 time: 0.3403 data_time: 0.0038 loss: 2.1397 03/03 06:45:20 - mmengine - INFO - Epoch(train) [15][1300/5005] lr: 9.5241e-02 eta: 1 day, 20:01:54 time: 0.3440 data_time: 0.0040 loss: 2.3310 03/03 06:45:55 - mmengine - INFO - Epoch(train) [15][1400/5005] lr: 9.5241e-02 eta: 1 day, 20:01:05 time: 0.3476 data_time: 0.0042 loss: 2.1752 03/03 06:46:30 - mmengine - INFO - Epoch(train) [15][1500/5005] lr: 9.5241e-02 eta: 1 day, 20:00:17 time: 0.3449 data_time: 0.0039 loss: 2.2048 03/03 06:47:05 - mmengine - INFO - Epoch(train) [15][1600/5005] lr: 9.5241e-02 eta: 1 day, 19:59:28 time: 0.3597 data_time: 0.0042 loss: 2.2791 03/03 06:47:40 - mmengine - INFO - Epoch(train) [15][1700/5005] lr: 9.5241e-02 eta: 1 day, 19:58:39 time: 0.3535 data_time: 0.0041 loss: 2.2163 03/03 06:48:14 - mmengine - INFO - Epoch(train) [15][1800/5005] lr: 9.5241e-02 eta: 1 day, 19:57:50 time: 0.3407 data_time: 0.0038 loss: 2.1735 03/03 06:48:50 - mmengine - INFO - Epoch(train) [15][1900/5005] lr: 9.5241e-02 eta: 1 day, 19:57:03 time: 0.3453 data_time: 0.0041 loss: 2.3185 03/03 06:49:00 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 06:49:25 - mmengine - INFO - Epoch(train) [15][2000/5005] lr: 9.5241e-02 eta: 1 day, 19:56:14 time: 0.3416 data_time: 0.0039 loss: 2.4700 03/03 06:50:00 - mmengine - INFO - Epoch(train) [15][2100/5005] lr: 9.5241e-02 eta: 1 day, 19:55:27 time: 0.3473 data_time: 0.0038 loss: 2.3492 03/03 06:50:35 - mmengine - INFO - Epoch(train) [15][2200/5005] lr: 9.5241e-02 eta: 1 day, 19:54:40 time: 0.3504 data_time: 0.0041 loss: 2.1864 03/03 06:51:10 - mmengine - INFO - Epoch(train) [15][2300/5005] lr: 9.5241e-02 eta: 1 day, 19:53:52 time: 0.3666 data_time: 0.0039 loss: 2.3369 03/03 06:51:46 - mmengine - INFO - Epoch(train) [15][2400/5005] lr: 9.5241e-02 eta: 1 day, 19:53:06 time: 0.3657 data_time: 0.0040 loss: 2.1116 03/03 06:52:21 - mmengine - INFO - Epoch(train) [15][2500/5005] lr: 9.5241e-02 eta: 1 day, 19:52:18 time: 0.3495 data_time: 0.0041 loss: 2.1979 03/03 06:52:56 - mmengine - INFO - Epoch(train) [15][2600/5005] lr: 9.5241e-02 eta: 1 day, 19:51:31 time: 0.3456 data_time: 0.0040 loss: 2.1435 03/03 06:53:31 - mmengine - INFO - Epoch(train) [15][2700/5005] lr: 9.5241e-02 eta: 1 day, 19:50:44 time: 0.3534 data_time: 0.0038 loss: 2.3342 03/03 06:54:06 - mmengine - INFO - Epoch(train) [15][2800/5005] lr: 9.5241e-02 eta: 1 day, 19:49:56 time: 0.3451 data_time: 0.0040 loss: 2.5101 03/03 06:54:41 - mmengine - INFO - Epoch(train) [15][2900/5005] lr: 9.5241e-02 eta: 1 day, 19:49:08 time: 0.3373 data_time: 0.0041 loss: 2.1818 03/03 06:54:52 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 06:55:16 - mmengine - INFO - Epoch(train) [15][3000/5005] lr: 9.5241e-02 eta: 1 day, 19:48:19 time: 0.3389 data_time: 0.0037 loss: 2.2648 03/03 06:55:51 - mmengine - INFO - Epoch(train) [15][3100/5005] lr: 9.5241e-02 eta: 1 day, 19:47:33 time: 0.3650 data_time: 0.0039 loss: 2.2717 03/03 06:56:27 - mmengine - INFO - Epoch(train) [15][3200/5005] lr: 9.5241e-02 eta: 1 day, 19:46:47 time: 0.3476 data_time: 0.0039 loss: 2.1866 03/03 06:57:02 - mmengine - INFO - Epoch(train) [15][3300/5005] lr: 9.5241e-02 eta: 1 day, 19:46:00 time: 0.3540 data_time: 0.0041 loss: 2.0166 03/03 06:57:37 - mmengine - INFO - Epoch(train) [15][3400/5005] lr: 9.5241e-02 eta: 1 day, 19:45:12 time: 0.3493 data_time: 0.0042 loss: 2.2907 03/03 06:58:12 - mmengine - INFO - Epoch(train) [15][3500/5005] lr: 9.5241e-02 eta: 1 day, 19:44:25 time: 0.3452 data_time: 0.0037 loss: 2.4105 03/03 06:58:47 - mmengine - INFO - Epoch(train) [15][3600/5005] lr: 9.5241e-02 eta: 1 day, 19:43:39 time: 0.3442 data_time: 0.0038 loss: 2.4180 03/03 06:59:23 - mmengine - INFO - Epoch(train) [15][3700/5005] lr: 9.5241e-02 eta: 1 day, 19:42:53 time: 0.3470 data_time: 0.0042 loss: 2.2659 03/03 06:59:58 - mmengine - INFO - Epoch(train) [15][3800/5005] lr: 9.5241e-02 eta: 1 day, 19:42:06 time: 0.3414 data_time: 0.0040 loss: 1.9436 03/03 07:00:33 - mmengine - INFO - Epoch(train) [15][3900/5005] lr: 9.5241e-02 eta: 1 day, 19:41:19 time: 0.3493 data_time: 0.0041 loss: 2.1889 03/03 07:00:44 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 07:01:08 - mmengine - INFO - Epoch(train) [15][4000/5005] lr: 9.5241e-02 eta: 1 day, 19:40:33 time: 0.3440 data_time: 0.0039 loss: 2.2036 03/03 07:01:44 - mmengine - INFO - Epoch(train) [15][4100/5005] lr: 9.5241e-02 eta: 1 day, 19:39:47 time: 0.3379 data_time: 0.0040 loss: 2.3395 03/03 07:02:19 - mmengine - INFO - Epoch(train) [15][4200/5005] lr: 9.5241e-02 eta: 1 day, 19:38:59 time: 0.3384 data_time: 0.0037 loss: 2.2884 03/03 07:02:53 - mmengine - INFO - Epoch(train) [15][4300/5005] lr: 9.5241e-02 eta: 1 day, 19:38:10 time: 0.3480 data_time: 0.0039 loss: 2.3042 03/03 07:03:29 - mmengine - INFO - Epoch(train) [15][4400/5005] lr: 9.5241e-02 eta: 1 day, 19:37:26 time: 0.3550 data_time: 0.0042 loss: 2.0556 03/03 07:04:04 - mmengine - INFO - Epoch(train) [15][4500/5005] lr: 9.5241e-02 eta: 1 day, 19:36:40 time: 0.3569 data_time: 0.0038 loss: 2.4330 03/03 07:04:39 - mmengine - INFO - Epoch(train) [15][4600/5005] lr: 9.5241e-02 eta: 1 day, 19:35:51 time: 0.3493 data_time: 0.0041 loss: 2.4160 03/03 07:05:14 - mmengine - INFO - Epoch(train) [15][4700/5005] lr: 9.5241e-02 eta: 1 day, 19:35:04 time: 0.3406 data_time: 0.0040 loss: 2.1122 03/03 07:05:49 - mmengine - INFO - Epoch(train) [15][4800/5005] lr: 9.5241e-02 eta: 1 day, 19:34:18 time: 0.3524 data_time: 0.0041 loss: 2.2621 03/03 07:06:25 - mmengine - INFO - Epoch(train) [15][4900/5005] lr: 9.5241e-02 eta: 1 day, 19:33:37 time: 0.4207 data_time: 0.0040 loss: 2.3112 03/03 07:06:39 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 07:07:07 - mmengine - INFO - Epoch(train) [15][5000/5005] lr: 9.5241e-02 eta: 1 day, 19:33:29 time: 0.4430 data_time: 0.0044 loss: 2.1873 03/03 07:07:10 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 07:07:13 - mmengine - INFO - Saving checkpoint at 15 epochs 03/03 07:07:28 - mmengine - INFO - Epoch(val) [15][100/196] eta: 0:00:14 time: 0.0418 data_time: 0.0002 03/03 07:07:45 - mmengine - INFO - Epoch(val) [15][196/196] accuracy/top1: 52.5020 accuracy/top5: 78.3520 03/03 07:08:29 - mmengine - INFO - Epoch(train) [16][ 100/5005] lr: 9.4550e-02 eta: 1 day, 19:33:31 time: 0.3534 data_time: 0.0043 loss: 1.9883 03/03 07:09:04 - mmengine - INFO - Epoch(train) [16][ 200/5005] lr: 9.4550e-02 eta: 1 day, 19:32:44 time: 0.3609 data_time: 0.0040 loss: 2.2866 03/03 07:09:39 - mmengine - INFO - Epoch(train) [16][ 300/5005] lr: 9.4550e-02 eta: 1 day, 19:31:59 time: 0.3420 data_time: 0.0042 loss: 2.1575 03/03 07:10:15 - mmengine - INFO - Epoch(train) [16][ 400/5005] lr: 9.4550e-02 eta: 1 day, 19:31:13 time: 0.3567 data_time: 0.0040 loss: 1.9540 03/03 07:10:50 - mmengine - INFO - Epoch(train) [16][ 500/5005] lr: 9.4550e-02 eta: 1 day, 19:30:26 time: 0.3454 data_time: 0.0040 loss: 2.2604 03/03 07:11:25 - mmengine - INFO - Epoch(train) [16][ 600/5005] lr: 9.4550e-02 eta: 1 day, 19:29:43 time: 0.3400 data_time: 0.0041 loss: 2.3598 03/03 07:12:00 - mmengine - INFO - Epoch(train) [16][ 700/5005] lr: 9.4550e-02 eta: 1 day, 19:28:53 time: 0.3553 data_time: 0.0039 loss: 2.2759 03/03 07:12:36 - mmengine - INFO - Epoch(train) [16][ 800/5005] lr: 9.4550e-02 eta: 1 day, 19:28:09 time: 0.3540 data_time: 0.0040 loss: 2.5036 03/03 07:13:11 - mmengine - INFO - Epoch(train) [16][ 900/5005] lr: 9.4550e-02 eta: 1 day, 19:27:24 time: 0.3809 data_time: 0.0040 loss: 2.2675 03/03 07:13:20 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 07:13:46 - mmengine - INFO - Epoch(train) [16][1000/5005] lr: 9.4550e-02 eta: 1 day, 19:26:38 time: 0.3555 data_time: 0.0038 loss: 2.4216 03/03 07:14:22 - mmengine - INFO - Epoch(train) [16][1100/5005] lr: 9.4550e-02 eta: 1 day, 19:25:52 time: 0.3412 data_time: 0.0040 loss: 2.4170 03/03 07:14:57 - mmengine - INFO - Epoch(train) [16][1200/5005] lr: 9.4550e-02 eta: 1 day, 19:25:07 time: 0.3358 data_time: 0.0039 loss: 1.9860 03/03 07:15:32 - mmengine - INFO - Epoch(train) [16][1300/5005] lr: 9.4550e-02 eta: 1 day, 19:24:23 time: 0.3526 data_time: 0.0038 loss: 2.3626 03/03 07:16:08 - mmengine - INFO - Epoch(train) [16][1400/5005] lr: 9.4550e-02 eta: 1 day, 19:23:39 time: 0.3437 data_time: 0.0043 loss: 2.0739 03/03 07:16:43 - mmengine - INFO - Epoch(train) [16][1500/5005] lr: 9.4550e-02 eta: 1 day, 19:22:51 time: 0.3350 data_time: 0.0039 loss: 2.2484 03/03 07:17:18 - mmengine - INFO - Epoch(train) [16][1600/5005] lr: 9.4550e-02 eta: 1 day, 19:22:05 time: 0.3560 data_time: 0.0041 loss: 2.1603 03/03 07:17:53 - mmengine - INFO - Epoch(train) [16][1700/5005] lr: 9.4550e-02 eta: 1 day, 19:21:19 time: 0.3674 data_time: 0.0040 loss: 2.1454 03/03 07:18:28 - mmengine - INFO - Epoch(train) [16][1800/5005] lr: 9.4550e-02 eta: 1 day, 19:20:31 time: 0.3464 data_time: 0.0040 loss: 2.4450 03/03 07:19:04 - mmengine - INFO - Epoch(train) [16][1900/5005] lr: 9.4550e-02 eta: 1 day, 19:19:47 time: 0.3496 data_time: 0.0041 loss: 2.3272 03/03 07:19:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 07:19:39 - mmengine - INFO - Epoch(train) [16][2000/5005] lr: 9.4550e-02 eta: 1 day, 19:19:01 time: 0.3406 data_time: 0.0039 loss: 2.2341 03/03 07:20:14 - mmengine - INFO - Epoch(train) [16][2100/5005] lr: 9.4550e-02 eta: 1 day, 19:18:15 time: 0.3574 data_time: 0.0040 loss: 2.2750 03/03 07:20:50 - mmengine - INFO - Epoch(train) [16][2200/5005] lr: 9.4550e-02 eta: 1 day, 19:17:30 time: 0.3544 data_time: 0.0039 loss: 2.1280 03/03 07:21:25 - mmengine - INFO - Epoch(train) [16][2300/5005] lr: 9.4550e-02 eta: 1 day, 19:16:44 time: 0.3630 data_time: 0.0041 loss: 2.4059 03/03 07:21:59 - mmengine - INFO - Epoch(train) [16][2400/5005] lr: 9.4550e-02 eta: 1 day, 19:15:56 time: 0.3401 data_time: 0.0038 loss: 2.4431 03/03 07:22:35 - mmengine - INFO - Epoch(train) [16][2500/5005] lr: 9.4550e-02 eta: 1 day, 19:15:12 time: 0.3704 data_time: 0.0038 loss: 2.2016 03/03 07:23:10 - mmengine - INFO - Epoch(train) [16][2600/5005] lr: 9.4550e-02 eta: 1 day, 19:14:24 time: 0.3583 data_time: 0.0038 loss: 2.0195 03/03 07:23:45 - mmengine - INFO - Epoch(train) [16][2700/5005] lr: 9.4550e-02 eta: 1 day, 19:13:40 time: 0.3414 data_time: 0.0040 loss: 2.0044 03/03 07:24:20 - mmengine - INFO - Epoch(train) [16][2800/5005] lr: 9.4550e-02 eta: 1 day, 19:12:54 time: 0.3556 data_time: 0.0041 loss: 2.3801 03/03 07:24:56 - mmengine - INFO - Epoch(train) [16][2900/5005] lr: 9.4550e-02 eta: 1 day, 19:12:09 time: 0.3627 data_time: 0.0040 loss: 2.2484 03/03 07:25:04 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 07:25:31 - mmengine - INFO - Epoch(train) [16][3000/5005] lr: 9.4550e-02 eta: 1 day, 19:11:24 time: 0.3362 data_time: 0.0041 loss: 2.0594 03/03 07:26:06 - mmengine - INFO - Epoch(train) [16][3100/5005] lr: 9.4550e-02 eta: 1 day, 19:10:39 time: 0.3657 data_time: 0.0038 loss: 2.3817 03/03 07:26:41 - mmengine - INFO - Epoch(train) [16][3200/5005] lr: 9.4550e-02 eta: 1 day, 19:09:52 time: 0.3416 data_time: 0.0041 loss: 2.2445 03/03 07:27:16 - mmengine - INFO - Epoch(train) [16][3300/5005] lr: 9.4550e-02 eta: 1 day, 19:09:06 time: 0.3735 data_time: 0.0039 loss: 2.0966 03/03 07:27:51 - mmengine - INFO - Epoch(train) [16][3400/5005] lr: 9.4550e-02 eta: 1 day, 19:08:19 time: 0.3557 data_time: 0.0039 loss: 2.0397 03/03 07:28:27 - mmengine - INFO - Epoch(train) [16][3500/5005] lr: 9.4550e-02 eta: 1 day, 19:07:34 time: 0.3539 data_time: 0.0040 loss: 2.2369 03/03 07:29:02 - mmengine - INFO - Epoch(train) [16][3600/5005] lr: 9.4550e-02 eta: 1 day, 19:06:48 time: 0.3547 data_time: 0.0038 loss: 2.3541 03/03 07:29:37 - mmengine - INFO - Epoch(train) [16][3700/5005] lr: 9.4550e-02 eta: 1 day, 19:06:02 time: 0.3450 data_time: 0.0040 loss: 2.2021 03/03 07:30:12 - mmengine - INFO - Epoch(train) [16][3800/5005] lr: 9.4550e-02 eta: 1 day, 19:05:16 time: 0.3395 data_time: 0.0043 loss: 2.2340 03/03 07:30:47 - mmengine - INFO - Epoch(train) [16][3900/5005] lr: 9.4550e-02 eta: 1 day, 19:04:29 time: 0.3407 data_time: 0.0041 loss: 2.1947 03/03 07:30:56 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 07:31:22 - mmengine - INFO - Epoch(train) [16][4000/5005] lr: 9.4550e-02 eta: 1 day, 19:03:44 time: 0.3448 data_time: 0.0040 loss: 2.2891 03/03 07:31:57 - mmengine - INFO - Epoch(train) [16][4100/5005] lr: 9.4550e-02 eta: 1 day, 19:02:58 time: 0.3505 data_time: 0.0040 loss: 2.2168 03/03 07:32:32 - mmengine - INFO - Epoch(train) [16][4200/5005] lr: 9.4550e-02 eta: 1 day, 19:02:11 time: 0.3390 data_time: 0.0039 loss: 2.2373 03/03 07:33:08 - mmengine - INFO - Epoch(train) [16][4300/5005] lr: 9.4550e-02 eta: 1 day, 19:01:28 time: 0.3615 data_time: 0.0041 loss: 2.0312 03/03 07:33:43 - mmengine - INFO - Epoch(train) [16][4400/5005] lr: 9.4550e-02 eta: 1 day, 19:00:42 time: 0.3599 data_time: 0.0044 loss: 2.1036 03/03 07:34:18 - mmengine - INFO - Epoch(train) [16][4500/5005] lr: 9.4550e-02 eta: 1 day, 18:59:58 time: 0.3766 data_time: 0.0041 loss: 2.1840 03/03 07:34:54 - mmengine - INFO - Epoch(train) [16][4600/5005] lr: 9.4550e-02 eta: 1 day, 18:59:13 time: 0.3401 data_time: 0.0041 loss: 2.2875 03/03 07:35:29 - mmengine - INFO - Epoch(train) [16][4700/5005] lr: 9.4550e-02 eta: 1 day, 18:58:28 time: 0.3502 data_time: 0.0039 loss: 2.2911 03/03 07:36:04 - mmengine - INFO - Epoch(train) [16][4800/5005] lr: 9.4550e-02 eta: 1 day, 18:57:43 time: 0.3512 data_time: 0.0041 loss: 2.2772 03/03 07:36:41 - mmengine - INFO - Epoch(train) [16][4900/5005] lr: 9.4550e-02 eta: 1 day, 18:57:05 time: 0.4339 data_time: 0.0045 loss: 2.2196 03/03 07:36:51 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 07:37:23 - mmengine - INFO - Epoch(train) [16][5000/5005] lr: 9.4550e-02 eta: 1 day, 18:56:56 time: 0.4189 data_time: 0.0042 loss: 2.4500 03/03 07:37:25 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 07:37:28 - mmengine - INFO - Saving checkpoint at 16 epochs 03/03 07:37:44 - mmengine - INFO - Epoch(val) [16][100/196] eta: 0:00:14 time: 0.0449 data_time: 0.0003 03/03 07:38:00 - mmengine - INFO - Epoch(val) [16][196/196] accuracy/top1: 53.9600 accuracy/top5: 79.0320 03/03 07:38:44 - mmengine - INFO - Epoch(train) [17][ 100/5005] lr: 9.3815e-02 eta: 1 day, 18:56:55 time: 0.3425 data_time: 0.0040 loss: 2.2847 03/03 07:39:20 - mmengine - INFO - Epoch(train) [17][ 200/5005] lr: 9.3815e-02 eta: 1 day, 18:56:13 time: 0.3487 data_time: 0.0038 loss: 2.0914 03/03 07:39:55 - mmengine - INFO - Epoch(train) [17][ 300/5005] lr: 9.3815e-02 eta: 1 day, 18:55:29 time: 0.3629 data_time: 0.0039 loss: 2.1175 03/03 07:40:31 - mmengine - INFO - Epoch(train) [17][ 400/5005] lr: 9.3815e-02 eta: 1 day, 18:54:45 time: 0.3417 data_time: 0.0042 loss: 2.3245 03/03 07:41:06 - mmengine - INFO - Epoch(train) [17][ 500/5005] lr: 9.3815e-02 eta: 1 day, 18:54:02 time: 0.3827 data_time: 0.0038 loss: 2.2119 03/03 07:41:41 - mmengine - INFO - Epoch(train) [17][ 600/5005] lr: 9.3815e-02 eta: 1 day, 18:53:17 time: 0.3491 data_time: 0.0040 loss: 2.1360 03/03 07:42:17 - mmengine - INFO - Epoch(train) [17][ 700/5005] lr: 9.3815e-02 eta: 1 day, 18:52:33 time: 0.3592 data_time: 0.0038 loss: 2.2262 03/03 07:42:52 - mmengine - INFO - Epoch(train) [17][ 800/5005] lr: 9.3815e-02 eta: 1 day, 18:51:46 time: 0.3528 data_time: 0.0040 loss: 2.2720 03/03 07:43:27 - mmengine - INFO - Epoch(train) [17][ 900/5005] lr: 9.3815e-02 eta: 1 day, 18:51:03 time: 0.3691 data_time: 0.0040 loss: 2.2934 03/03 07:43:34 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 07:44:02 - mmengine - INFO - Epoch(train) [17][1000/5005] lr: 9.3815e-02 eta: 1 day, 18:50:18 time: 0.3705 data_time: 0.0040 loss: 2.3637 03/03 07:44:38 - mmengine - INFO - Epoch(train) [17][1100/5005] lr: 9.3815e-02 eta: 1 day, 18:49:34 time: 0.3568 data_time: 0.0039 loss: 2.2956 03/03 07:45:13 - mmengine - INFO - Epoch(train) [17][1200/5005] lr: 9.3815e-02 eta: 1 day, 18:48:51 time: 0.3564 data_time: 0.0041 loss: 1.9470 03/03 07:45:49 - mmengine - INFO - Epoch(train) [17][1300/5005] lr: 9.3815e-02 eta: 1 day, 18:48:06 time: 0.3648 data_time: 0.0038 loss: 2.2660 03/03 07:46:24 - mmengine - INFO - Epoch(train) [17][1400/5005] lr: 9.3815e-02 eta: 1 day, 18:47:22 time: 0.3499 data_time: 0.0040 loss: 2.0850 03/03 07:46:59 - mmengine - INFO - Epoch(train) [17][1500/5005] lr: 9.3815e-02 eta: 1 day, 18:46:38 time: 0.3607 data_time: 0.0039 loss: 2.4594 03/03 07:47:34 - mmengine - INFO - Epoch(train) [17][1600/5005] lr: 9.3815e-02 eta: 1 day, 18:45:52 time: 0.3464 data_time: 0.0039 loss: 2.0654 03/03 07:48:10 - mmengine - INFO - Epoch(train) [17][1700/5005] lr: 9.3815e-02 eta: 1 day, 18:45:07 time: 0.3488 data_time: 0.0039 loss: 1.9849 03/03 07:48:45 - mmengine - INFO - Epoch(train) [17][1800/5005] lr: 9.3815e-02 eta: 1 day, 18:44:21 time: 0.3449 data_time: 0.0040 loss: 2.2742 03/03 07:49:20 - mmengine - INFO - Epoch(train) [17][1900/5005] lr: 9.3815e-02 eta: 1 day, 18:43:39 time: 0.3518 data_time: 0.0039 loss: 2.3999 03/03 07:49:27 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 07:49:56 - mmengine - INFO - Epoch(train) [17][2000/5005] lr: 9.3815e-02 eta: 1 day, 18:42:55 time: 0.3484 data_time: 0.0038 loss: 2.1565 03/03 07:50:31 - mmengine - INFO - Epoch(train) [17][2100/5005] lr: 9.3815e-02 eta: 1 day, 18:42:09 time: 0.3367 data_time: 0.0041 loss: 2.3864 03/03 07:51:06 - mmengine - INFO - Epoch(train) [17][2200/5005] lr: 9.3815e-02 eta: 1 day, 18:41:24 time: 0.3528 data_time: 0.0039 loss: 2.0599 03/03 07:51:41 - mmengine - INFO - Epoch(train) [17][2300/5005] lr: 9.3815e-02 eta: 1 day, 18:40:41 time: 0.3557 data_time: 0.0041 loss: 2.2595 03/03 07:52:16 - mmengine - INFO - Epoch(train) [17][2400/5005] lr: 9.3815e-02 eta: 1 day, 18:39:55 time: 0.3533 data_time: 0.0039 loss: 2.2967 03/03 07:52:52 - mmengine - INFO - Epoch(train) [17][2500/5005] lr: 9.3815e-02 eta: 1 day, 18:39:11 time: 0.3382 data_time: 0.0039 loss: 2.3114 03/03 07:53:27 - mmengine - INFO - Epoch(train) [17][2600/5005] lr: 9.3815e-02 eta: 1 day, 18:38:27 time: 0.3405 data_time: 0.0040 loss: 2.2535 03/03 07:54:02 - mmengine - INFO - Epoch(train) [17][2700/5005] lr: 9.3815e-02 eta: 1 day, 18:37:42 time: 0.3401 data_time: 0.0039 loss: 2.4021 03/03 07:54:37 - mmengine - INFO - Epoch(train) [17][2800/5005] lr: 9.3815e-02 eta: 1 day, 18:36:58 time: 0.3363 data_time: 0.0041 loss: 2.3411 03/03 07:55:12 - mmengine - INFO - Epoch(train) [17][2900/5005] lr: 9.3815e-02 eta: 1 day, 18:36:12 time: 0.3461 data_time: 0.0041 loss: 2.2198 03/03 07:55:19 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 07:55:48 - mmengine - INFO - Epoch(train) [17][3000/5005] lr: 9.3815e-02 eta: 1 day, 18:35:28 time: 0.3641 data_time: 0.0040 loss: 2.1222 03/03 07:56:23 - mmengine - INFO - Epoch(train) [17][3100/5005] lr: 9.3815e-02 eta: 1 day, 18:34:43 time: 0.3594 data_time: 0.0041 loss: 2.3434 03/03 07:56:58 - mmengine - INFO - Epoch(train) [17][3200/5005] lr: 9.3815e-02 eta: 1 day, 18:33:57 time: 0.3487 data_time: 0.0042 loss: 2.2216 03/03 07:57:33 - mmengine - INFO - Epoch(train) [17][3300/5005] lr: 9.3815e-02 eta: 1 day, 18:33:12 time: 0.3470 data_time: 0.0038 loss: 2.0200 03/03 07:58:08 - mmengine - INFO - Epoch(train) [17][3400/5005] lr: 9.3815e-02 eta: 1 day, 18:32:26 time: 0.3547 data_time: 0.0042 loss: 2.3302 03/03 07:58:43 - mmengine - INFO - Epoch(train) [17][3500/5005] lr: 9.3815e-02 eta: 1 day, 18:31:42 time: 0.3622 data_time: 0.0039 loss: 2.1842 03/03 07:59:18 - mmengine - INFO - Epoch(train) [17][3600/5005] lr: 9.3815e-02 eta: 1 day, 18:30:58 time: 0.3455 data_time: 0.0041 loss: 2.1618 03/03 07:59:54 - mmengine - INFO - Epoch(train) [17][3700/5005] lr: 9.3815e-02 eta: 1 day, 18:30:14 time: 0.3723 data_time: 0.0041 loss: 2.2074 03/03 08:00:29 - mmengine - INFO - Epoch(train) [17][3800/5005] lr: 9.3815e-02 eta: 1 day, 18:29:31 time: 0.3485 data_time: 0.0039 loss: 2.4234 03/03 08:01:04 - mmengine - INFO - Epoch(train) [17][3900/5005] lr: 9.3815e-02 eta: 1 day, 18:28:47 time: 0.3382 data_time: 0.0041 loss: 1.9698 03/03 08:01:11 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 08:01:40 - mmengine - INFO - Epoch(train) [17][4000/5005] lr: 9.3815e-02 eta: 1 day, 18:28:04 time: 0.3638 data_time: 0.0039 loss: 2.2378 03/03 08:02:15 - mmengine - INFO - Epoch(train) [17][4100/5005] lr: 9.3815e-02 eta: 1 day, 18:27:18 time: 0.3581 data_time: 0.0042 loss: 2.2256 03/03 08:02:50 - mmengine - INFO - Epoch(train) [17][4200/5005] lr: 9.3815e-02 eta: 1 day, 18:26:35 time: 0.3840 data_time: 0.0040 loss: 2.1915 03/03 08:03:25 - mmengine - INFO - Epoch(train) [17][4300/5005] lr: 9.3815e-02 eta: 1 day, 18:25:50 time: 0.3582 data_time: 0.0040 loss: 2.0905 03/03 08:04:01 - mmengine - INFO - Epoch(train) [17][4400/5005] lr: 9.3815e-02 eta: 1 day, 18:25:07 time: 0.3460 data_time: 0.0040 loss: 2.1736 03/03 08:04:36 - mmengine - INFO - Epoch(train) [17][4500/5005] lr: 9.3815e-02 eta: 1 day, 18:24:22 time: 0.3468 data_time: 0.0039 loss: 2.0919 03/03 08:05:11 - mmengine - INFO - Epoch(train) [17][4600/5005] lr: 9.3815e-02 eta: 1 day, 18:23:37 time: 0.3422 data_time: 0.0039 loss: 2.4819 03/03 08:05:46 - mmengine - INFO - Epoch(train) [17][4700/5005] lr: 9.3815e-02 eta: 1 day, 18:22:54 time: 0.3621 data_time: 0.0039 loss: 2.3735 03/03 08:06:22 - mmengine - INFO - Epoch(train) [17][4800/5005] lr: 9.3815e-02 eta: 1 day, 18:22:11 time: 0.3853 data_time: 0.0042 loss: 2.4347 03/03 08:06:58 - mmengine - INFO - Epoch(train) [17][4900/5005] lr: 9.3815e-02 eta: 1 day, 18:21:34 time: 0.4461 data_time: 0.0042 loss: 2.1672 03/03 08:07:07 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 08:07:41 - mmengine - INFO - Epoch(train) [17][5000/5005] lr: 9.3815e-02 eta: 1 day, 18:21:29 time: 0.4409 data_time: 0.0043 loss: 2.0049 03/03 08:07:44 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 08:07:47 - mmengine - INFO - Saving checkpoint at 17 epochs 03/03 08:08:03 - mmengine - INFO - Epoch(val) [17][100/196] eta: 0:00:14 time: 0.0397 data_time: 0.0002 03/03 08:08:20 - mmengine - INFO - Epoch(val) [17][196/196] accuracy/top1: 54.5940 accuracy/top5: 79.6780 03/03 08:09:04 - mmengine - INFO - Epoch(train) [18][ 100/5005] lr: 9.3037e-02 eta: 1 day, 18:21:28 time: 0.3368 data_time: 0.0041 loss: 2.2070 03/03 08:09:39 - mmengine - INFO - Epoch(train) [18][ 200/5005] lr: 9.3037e-02 eta: 1 day, 18:20:45 time: 0.3535 data_time: 0.0041 loss: 2.0849 03/03 08:10:15 - mmengine - INFO - Epoch(train) [18][ 300/5005] lr: 9.3037e-02 eta: 1 day, 18:20:01 time: 0.3444 data_time: 0.0039 loss: 2.1566 03/03 08:10:50 - mmengine - INFO - Epoch(train) [18][ 400/5005] lr: 9.3037e-02 eta: 1 day, 18:19:18 time: 0.3593 data_time: 0.0039 loss: 2.2711 03/03 08:11:25 - mmengine - INFO - Epoch(train) [18][ 500/5005] lr: 9.3037e-02 eta: 1 day, 18:18:34 time: 0.3590 data_time: 0.0040 loss: 2.0636 03/03 08:12:01 - mmengine - INFO - Epoch(train) [18][ 600/5005] lr: 9.3037e-02 eta: 1 day, 18:17:51 time: 0.3643 data_time: 0.0041 loss: 2.1110 03/03 08:12:36 - mmengine - INFO - Epoch(train) [18][ 700/5005] lr: 9.3037e-02 eta: 1 day, 18:17:08 time: 0.3498 data_time: 0.0039 loss: 2.3384 03/03 08:13:12 - mmengine - INFO - Epoch(train) [18][ 800/5005] lr: 9.3037e-02 eta: 1 day, 18:16:25 time: 0.3484 data_time: 0.0040 loss: 1.9677 03/03 08:13:47 - mmengine - INFO - Epoch(train) [18][ 900/5005] lr: 9.3037e-02 eta: 1 day, 18:15:42 time: 0.3406 data_time: 0.0042 loss: 1.8124 03/03 08:13:52 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 08:14:22 - mmengine - INFO - Epoch(train) [18][1000/5005] lr: 9.3037e-02 eta: 1 day, 18:14:57 time: 0.3442 data_time: 0.0040 loss: 2.0383 03/03 08:14:57 - mmengine - INFO - Epoch(train) [18][1100/5005] lr: 9.3037e-02 eta: 1 day, 18:14:12 time: 0.3437 data_time: 0.0040 loss: 2.1889 03/03 08:15:32 - mmengine - INFO - Epoch(train) [18][1200/5005] lr: 9.3037e-02 eta: 1 day, 18:13:29 time: 0.3471 data_time: 0.0040 loss: 2.3258 03/03 08:16:07 - mmengine - INFO - Epoch(train) [18][1300/5005] lr: 9.3037e-02 eta: 1 day, 18:12:43 time: 0.3535 data_time: 0.0040 loss: 2.2158 03/03 08:16:42 - mmengine - INFO - Epoch(train) [18][1400/5005] lr: 9.3037e-02 eta: 1 day, 18:11:59 time: 0.3631 data_time: 0.0041 loss: 1.9622 03/03 08:17:18 - mmengine - INFO - Epoch(train) [18][1500/5005] lr: 9.3037e-02 eta: 1 day, 18:11:16 time: 0.3688 data_time: 0.0038 loss: 2.2507 03/03 08:17:53 - mmengine - INFO - Epoch(train) [18][1600/5005] lr: 9.3037e-02 eta: 1 day, 18:10:32 time: 0.3770 data_time: 0.0040 loss: 2.1661 03/03 08:18:28 - mmengine - INFO - Epoch(train) [18][1700/5005] lr: 9.3037e-02 eta: 1 day, 18:09:47 time: 0.3425 data_time: 0.0038 loss: 2.2524 03/03 08:19:03 - mmengine - INFO - Epoch(train) [18][1800/5005] lr: 9.3037e-02 eta: 1 day, 18:09:03 time: 0.3462 data_time: 0.0040 loss: 2.3013 03/03 08:19:38 - mmengine - INFO - Epoch(train) [18][1900/5005] lr: 9.3037e-02 eta: 1 day, 18:08:16 time: 0.3398 data_time: 0.0042 loss: 2.0451 03/03 08:19:43 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 08:20:13 - mmengine - INFO - Epoch(train) [18][2000/5005] lr: 9.3037e-02 eta: 1 day, 18:07:32 time: 0.3603 data_time: 0.0040 loss: 2.1901 03/03 08:20:48 - mmengine - INFO - Epoch(train) [18][2100/5005] lr: 9.3037e-02 eta: 1 day, 18:06:48 time: 0.3471 data_time: 0.0041 loss: 1.8006 03/03 08:21:23 - mmengine - INFO - Epoch(train) [18][2200/5005] lr: 9.3037e-02 eta: 1 day, 18:06:04 time: 0.3384 data_time: 0.0042 loss: 2.0768 03/03 08:21:59 - mmengine - INFO - Epoch(train) [18][2300/5005] lr: 9.3037e-02 eta: 1 day, 18:05:21 time: 0.3645 data_time: 0.0040 loss: 2.0378 03/03 08:22:34 - mmengine - INFO - Epoch(train) [18][2400/5005] lr: 9.3037e-02 eta: 1 day, 18:04:36 time: 0.3697 data_time: 0.0040 loss: 2.3874 03/03 08:23:09 - mmengine - INFO - Epoch(train) [18][2500/5005] lr: 9.3037e-02 eta: 1 day, 18:03:52 time: 0.3528 data_time: 0.0040 loss: 2.0843 03/03 08:23:44 - mmengine - INFO - Epoch(train) [18][2600/5005] lr: 9.3037e-02 eta: 1 day, 18:03:07 time: 0.3443 data_time: 0.0038 loss: 1.9833 03/03 08:24:19 - mmengine - INFO - Epoch(train) [18][2700/5005] lr: 9.3037e-02 eta: 1 day, 18:02:22 time: 0.3640 data_time: 0.0039 loss: 2.1451 03/03 08:24:54 - mmengine - INFO - Epoch(train) [18][2800/5005] lr: 9.3037e-02 eta: 1 day, 18:01:39 time: 0.3408 data_time: 0.0041 loss: 2.2921 03/03 08:25:28 - mmengine - INFO - Epoch(train) [18][2900/5005] lr: 9.3037e-02 eta: 1 day, 18:00:52 time: 0.3401 data_time: 0.0041 loss: 2.1733 03/03 08:25:34 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 08:26:04 - mmengine - INFO - Epoch(train) [18][3000/5005] lr: 9.3037e-02 eta: 1 day, 18:00:10 time: 0.3586 data_time: 0.0043 loss: 2.0601 03/03 08:26:39 - mmengine - INFO - Epoch(train) [18][3100/5005] lr: 9.3037e-02 eta: 1 day, 17:59:27 time: 0.3627 data_time: 0.0039 loss: 2.0555 03/03 08:27:14 - mmengine - INFO - Epoch(train) [18][3200/5005] lr: 9.3037e-02 eta: 1 day, 17:58:40 time: 0.3517 data_time: 0.0044 loss: 1.9760 03/03 08:27:49 - mmengine - INFO - Epoch(train) [18][3300/5005] lr: 9.3037e-02 eta: 1 day, 17:57:58 time: 0.3474 data_time: 0.0041 loss: 2.2671 03/03 08:28:24 - mmengine - INFO - Epoch(train) [18][3400/5005] lr: 9.3037e-02 eta: 1 day, 17:57:14 time: 0.3536 data_time: 0.0039 loss: 2.2864 03/03 08:28:59 - mmengine - INFO - Epoch(train) [18][3500/5005] lr: 9.3037e-02 eta: 1 day, 17:56:30 time: 0.3447 data_time: 0.0041 loss: 2.3001 03/03 08:29:35 - mmengine - INFO - Epoch(train) [18][3600/5005] lr: 9.3037e-02 eta: 1 day, 17:55:49 time: 0.3649 data_time: 0.0040 loss: 1.9755 03/03 08:30:10 - mmengine - INFO - Epoch(train) [18][3700/5005] lr: 9.3037e-02 eta: 1 day, 17:55:04 time: 0.3443 data_time: 0.0041 loss: 2.3494 03/03 08:30:45 - mmengine - INFO - Epoch(train) [18][3800/5005] lr: 9.3037e-02 eta: 1 day, 17:54:20 time: 0.3449 data_time: 0.0039 loss: 2.1447 03/03 08:31:21 - mmengine - INFO - Epoch(train) [18][3900/5005] lr: 9.3037e-02 eta: 1 day, 17:53:37 time: 0.3449 data_time: 0.0039 loss: 2.3983 03/03 08:31:26 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 08:31:56 - mmengine - INFO - Epoch(train) [18][4000/5005] lr: 9.3037e-02 eta: 1 day, 17:52:53 time: 0.3705 data_time: 0.0042 loss: 2.4171 03/03 08:32:31 - mmengine - INFO - Epoch(train) [18][4100/5005] lr: 9.3037e-02 eta: 1 day, 17:52:09 time: 0.3459 data_time: 0.0042 loss: 2.2947 03/03 08:33:06 - mmengine - INFO - Epoch(train) [18][4200/5005] lr: 9.3037e-02 eta: 1 day, 17:51:25 time: 0.3607 data_time: 0.0038 loss: 2.1150 03/03 08:33:40 - mmengine - INFO - Epoch(train) [18][4300/5005] lr: 9.3037e-02 eta: 1 day, 17:50:39 time: 0.3413 data_time: 0.0039 loss: 2.2000 03/03 08:34:16 - mmengine - INFO - Epoch(train) [18][4400/5005] lr: 9.3037e-02 eta: 1 day, 17:49:57 time: 0.3516 data_time: 0.0039 loss: 2.0905 03/03 08:34:51 - mmengine - INFO - Epoch(train) [18][4500/5005] lr: 9.3037e-02 eta: 1 day, 17:49:13 time: 0.3685 data_time: 0.0041 loss: 2.0849 03/03 08:35:26 - mmengine - INFO - Epoch(train) [18][4600/5005] lr: 9.3037e-02 eta: 1 day, 17:48:29 time: 0.3376 data_time: 0.0042 loss: 2.0640 03/03 08:36:01 - mmengine - INFO - Epoch(train) [18][4700/5005] lr: 9.3037e-02 eta: 1 day, 17:47:45 time: 0.3420 data_time: 0.0043 loss: 2.2864 03/03 08:36:36 - mmengine - INFO - Epoch(train) [18][4800/5005] lr: 9.3037e-02 eta: 1 day, 17:47:00 time: 0.3425 data_time: 0.0038 loss: 2.2547 03/03 08:37:14 - mmengine - INFO - Epoch(train) [18][4900/5005] lr: 9.3037e-02 eta: 1 day, 17:46:28 time: 0.4655 data_time: 0.0047 loss: 2.3899 03/03 08:37:19 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 08:37:56 - mmengine - INFO - Epoch(train) [18][5000/5005] lr: 9.3037e-02 eta: 1 day, 17:46:16 time: 0.4337 data_time: 0.0042 loss: 2.2408 03/03 08:37:58 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 08:38:01 - mmengine - INFO - Saving checkpoint at 18 epochs 03/03 08:38:17 - mmengine - INFO - Epoch(val) [18][100/196] eta: 0:00:14 time: 0.0447 data_time: 0.0002 03/03 08:38:33 - mmengine - INFO - Epoch(val) [18][196/196] accuracy/top1: 53.1460 accuracy/top5: 78.3860 03/03 08:39:17 - mmengine - INFO - Epoch(train) [19][ 100/5005] lr: 9.2216e-02 eta: 1 day, 17:46:11 time: 0.3618 data_time: 0.0042 loss: 2.1963 03/03 08:39:53 - mmengine - INFO - Epoch(train) [19][ 200/5005] lr: 9.2216e-02 eta: 1 day, 17:45:31 time: 0.3462 data_time: 0.0043 loss: 2.2171 03/03 08:40:28 - mmengine - INFO - Epoch(train) [19][ 300/5005] lr: 9.2216e-02 eta: 1 day, 17:44:48 time: 0.3676 data_time: 0.0041 loss: 2.3494 03/03 08:41:04 - mmengine - INFO - Epoch(train) [19][ 400/5005] lr: 9.2216e-02 eta: 1 day, 17:44:06 time: 0.3478 data_time: 0.0040 loss: 2.0904 03/03 08:41:40 - mmengine - INFO - Epoch(train) [19][ 500/5005] lr: 9.2216e-02 eta: 1 day, 17:43:25 time: 0.3762 data_time: 0.0040 loss: 2.0988 03/03 08:42:15 - mmengine - INFO - Epoch(train) [19][ 600/5005] lr: 9.2216e-02 eta: 1 day, 17:42:41 time: 0.3407 data_time: 0.0040 loss: 1.9458 03/03 08:42:50 - mmengine - INFO - Epoch(train) [19][ 700/5005] lr: 9.2216e-02 eta: 1 day, 17:41:57 time: 0.3489 data_time: 0.0039 loss: 2.0123 03/03 08:43:25 - mmengine - INFO - Epoch(train) [19][ 800/5005] lr: 9.2216e-02 eta: 1 day, 17:41:15 time: 0.3661 data_time: 0.0042 loss: 2.1984 03/03 08:44:00 - mmengine - INFO - Epoch(train) [19][ 900/5005] lr: 9.2216e-02 eta: 1 day, 17:40:29 time: 0.3426 data_time: 0.0041 loss: 2.2264 03/03 08:44:04 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 08:44:35 - mmengine - INFO - Epoch(train) [19][1000/5005] lr: 9.2216e-02 eta: 1 day, 17:39:48 time: 0.3453 data_time: 0.0039 loss: 2.1478 03/03 08:45:10 - mmengine - INFO - Epoch(train) [19][1100/5005] lr: 9.2216e-02 eta: 1 day, 17:39:03 time: 0.3340 data_time: 0.0040 loss: 2.1741 03/03 08:45:45 - mmengine - INFO - Epoch(train) [19][1200/5005] lr: 9.2216e-02 eta: 1 day, 17:38:20 time: 0.3474 data_time: 0.0041 loss: 2.0953 03/03 08:46:20 - mmengine - INFO - Epoch(train) [19][1300/5005] lr: 9.2216e-02 eta: 1 day, 17:37:36 time: 0.3480 data_time: 0.0039 loss: 2.3727 03/03 08:46:56 - mmengine - INFO - Epoch(train) [19][1400/5005] lr: 9.2216e-02 eta: 1 day, 17:36:54 time: 0.3897 data_time: 0.0040 loss: 2.1693 03/03 08:47:31 - mmengine - INFO - Epoch(train) [19][1500/5005] lr: 9.2216e-02 eta: 1 day, 17:36:11 time: 0.3367 data_time: 0.0041 loss: 2.2301 03/03 08:48:06 - mmengine - INFO - Epoch(train) [19][1600/5005] lr: 9.2216e-02 eta: 1 day, 17:35:28 time: 0.3444 data_time: 0.0040 loss: 2.2484 03/03 08:48:41 - mmengine - INFO - Epoch(train) [19][1700/5005] lr: 9.2216e-02 eta: 1 day, 17:34:43 time: 0.3447 data_time: 0.0039 loss: 2.2292 03/03 08:49:16 - mmengine - INFO - Epoch(train) [19][1800/5005] lr: 9.2216e-02 eta: 1 day, 17:34:00 time: 0.3461 data_time: 0.0038 loss: 2.1620 03/03 08:49:51 - mmengine - INFO - Epoch(train) [19][1900/5005] lr: 9.2216e-02 eta: 1 day, 17:33:16 time: 0.3474 data_time: 0.0038 loss: 1.8188 03/03 08:49:55 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 08:50:26 - mmengine - INFO - Epoch(train) [19][2000/5005] lr: 9.2216e-02 eta: 1 day, 17:32:32 time: 0.3481 data_time: 0.0041 loss: 2.3197 03/03 08:51:01 - mmengine - INFO - Epoch(train) [19][2100/5005] lr: 9.2216e-02 eta: 1 day, 17:31:49 time: 0.3458 data_time: 0.0040 loss: 2.2080 03/03 08:51:36 - mmengine - INFO - Epoch(train) [19][2200/5005] lr: 9.2216e-02 eta: 1 day, 17:31:04 time: 0.3593 data_time: 0.0041 loss: 2.0375 03/03 08:52:12 - mmengine - INFO - Epoch(train) [19][2300/5005] lr: 9.2216e-02 eta: 1 day, 17:30:21 time: 0.3433 data_time: 0.0040 loss: 2.2348 03/03 08:52:47 - mmengine - INFO - Epoch(train) [19][2400/5005] lr: 9.2216e-02 eta: 1 day, 17:29:38 time: 0.3596 data_time: 0.0041 loss: 2.1389 03/03 08:53:22 - mmengine - INFO - Epoch(train) [19][2500/5005] lr: 9.2216e-02 eta: 1 day, 17:28:54 time: 0.3688 data_time: 0.0042 loss: 1.7739 03/03 08:53:57 - mmengine - INFO - Epoch(train) [19][2600/5005] lr: 9.2216e-02 eta: 1 day, 17:28:11 time: 0.3467 data_time: 0.0041 loss: 2.1752 03/03 08:54:32 - mmengine - INFO - Epoch(train) [19][2700/5005] lr: 9.2216e-02 eta: 1 day, 17:27:29 time: 0.3813 data_time: 0.0041 loss: 2.4226 03/03 08:55:07 - mmengine - INFO - Epoch(train) [19][2800/5005] lr: 9.2216e-02 eta: 1 day, 17:26:45 time: 0.3532 data_time: 0.0040 loss: 2.2439 03/03 08:55:43 - mmengine - INFO - Epoch(train) [19][2900/5005] lr: 9.2216e-02 eta: 1 day, 17:26:04 time: 0.3445 data_time: 0.0040 loss: 2.1339 03/03 08:55:46 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 08:56:18 - mmengine - INFO - Epoch(train) [19][3000/5005] lr: 9.2216e-02 eta: 1 day, 17:25:21 time: 0.3711 data_time: 0.0041 loss: 2.3195 03/03 08:56:53 - mmengine - INFO - Epoch(train) [19][3100/5005] lr: 9.2216e-02 eta: 1 day, 17:24:39 time: 0.3504 data_time: 0.0041 loss: 2.2289 03/03 08:57:29 - mmengine - INFO - Epoch(train) [19][3200/5005] lr: 9.2216e-02 eta: 1 day, 17:23:58 time: 0.3618 data_time: 0.0042 loss: 2.1629 03/03 08:58:04 - mmengine - INFO - Epoch(train) [19][3300/5005] lr: 9.2216e-02 eta: 1 day, 17:23:14 time: 0.3658 data_time: 0.0041 loss: 2.0806 03/03 08:58:39 - mmengine - INFO - Epoch(train) [19][3400/5005] lr: 9.2216e-02 eta: 1 day, 17:22:32 time: 0.3453 data_time: 0.0040 loss: 2.1671 03/03 08:59:15 - mmengine - INFO - Epoch(train) [19][3500/5005] lr: 9.2216e-02 eta: 1 day, 17:21:50 time: 0.3797 data_time: 0.0040 loss: 2.3030 03/03 08:59:50 - mmengine - INFO - Epoch(train) [19][3600/5005] lr: 9.2216e-02 eta: 1 day, 17:21:06 time: 0.3404 data_time: 0.0041 loss: 2.0378 03/03 09:00:25 - mmengine - INFO - Epoch(train) [19][3700/5005] lr: 9.2216e-02 eta: 1 day, 17:20:24 time: 0.3499 data_time: 0.0040 loss: 2.2489 03/03 09:01:00 - mmengine - INFO - Epoch(train) [19][3800/5005] lr: 9.2216e-02 eta: 1 day, 17:19:41 time: 0.3526 data_time: 0.0039 loss: 1.9740 03/03 09:01:36 - mmengine - INFO - Epoch(train) [19][3900/5005] lr: 9.2216e-02 eta: 1 day, 17:18:59 time: 0.3509 data_time: 0.0041 loss: 2.4055 03/03 09:01:39 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 09:02:11 - mmengine - INFO - Epoch(train) [19][4000/5005] lr: 9.2216e-02 eta: 1 day, 17:18:17 time: 0.3508 data_time: 0.0043 loss: 2.2624 03/03 09:02:46 - mmengine - INFO - Epoch(train) [19][4100/5005] lr: 9.2216e-02 eta: 1 day, 17:17:34 time: 0.3534 data_time: 0.0045 loss: 2.0117 03/03 09:03:21 - mmengine - INFO - Epoch(train) [19][4200/5005] lr: 9.2216e-02 eta: 1 day, 17:16:51 time: 0.3422 data_time: 0.0041 loss: 2.1487 03/03 09:03:57 - mmengine - INFO - Epoch(train) [19][4300/5005] lr: 9.2216e-02 eta: 1 day, 17:16:09 time: 0.3769 data_time: 0.0042 loss: 2.1246 03/03 09:04:31 - mmengine - INFO - Epoch(train) [19][4400/5005] lr: 9.2216e-02 eta: 1 day, 17:15:25 time: 0.3443 data_time: 0.0040 loss: 1.9740 03/03 09:05:07 - mmengine - INFO - Epoch(train) [19][4500/5005] lr: 9.2216e-02 eta: 1 day, 17:14:44 time: 0.3485 data_time: 0.0041 loss: 2.0570 03/03 09:05:42 - mmengine - INFO - Epoch(train) [19][4600/5005] lr: 9.2216e-02 eta: 1 day, 17:14:00 time: 0.3374 data_time: 0.0040 loss: 2.4589 03/03 09:06:17 - mmengine - INFO - Epoch(train) [19][4700/5005] lr: 9.2216e-02 eta: 1 day, 17:13:17 time: 0.3436 data_time: 0.0040 loss: 2.3122 03/03 09:06:53 - mmengine - INFO - Epoch(train) [19][4800/5005] lr: 9.2216e-02 eta: 1 day, 17:12:36 time: 0.3648 data_time: 0.0041 loss: 2.1468 03/03 09:07:29 - mmengine - INFO - Epoch(train) [19][4900/5005] lr: 9.2216e-02 eta: 1 day, 17:12:00 time: 0.4530 data_time: 0.0051 loss: 2.2879 03/03 09:07:34 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 09:08:11 - mmengine - INFO - Epoch(train) [19][5000/5005] lr: 9.2216e-02 eta: 1 day, 17:11:46 time: 0.4284 data_time: 0.0044 loss: 2.3073 03/03 09:08:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 09:08:16 - mmengine - INFO - Saving checkpoint at 19 epochs 03/03 09:08:33 - mmengine - INFO - Epoch(val) [19][100/196] eta: 0:00:14 time: 0.0424 data_time: 0.0003 03/03 09:08:49 - mmengine - INFO - Epoch(val) [19][196/196] accuracy/top1: 55.8680 accuracy/top5: 80.5040 03/03 09:09:33 - mmengine - INFO - Epoch(train) [20][ 100/5005] lr: 9.1354e-02 eta: 1 day, 17:11:38 time: 0.3536 data_time: 0.0040 loss: 2.0278 03/03 09:10:08 - mmengine - INFO - Epoch(train) [20][ 200/5005] lr: 9.1354e-02 eta: 1 day, 17:10:54 time: 0.3490 data_time: 0.0040 loss: 2.3405 03/03 09:10:43 - mmengine - INFO - Epoch(train) [20][ 300/5005] lr: 9.1354e-02 eta: 1 day, 17:10:13 time: 0.3486 data_time: 0.0041 loss: 2.0485 03/03 09:11:19 - mmengine - INFO - Epoch(train) [20][ 400/5005] lr: 9.1354e-02 eta: 1 day, 17:09:33 time: 0.3446 data_time: 0.0041 loss: 2.2163 03/03 09:11:54 - mmengine - INFO - Epoch(train) [20][ 500/5005] lr: 9.1354e-02 eta: 1 day, 17:08:49 time: 0.3498 data_time: 0.0042 loss: 1.9531 03/03 09:12:29 - mmengine - INFO - Epoch(train) [20][ 600/5005] lr: 9.1354e-02 eta: 1 day, 17:08:07 time: 0.3402 data_time: 0.0040 loss: 2.1377 03/03 09:13:05 - mmengine - INFO - Epoch(train) [20][ 700/5005] lr: 9.1354e-02 eta: 1 day, 17:07:26 time: 0.3631 data_time: 0.0042 loss: 2.3610 03/03 09:13:39 - mmengine - INFO - Epoch(train) [20][ 800/5005] lr: 9.1354e-02 eta: 1 day, 17:06:41 time: 0.3446 data_time: 0.0040 loss: 2.0653 03/03 09:14:15 - mmengine - INFO - Epoch(train) [20][ 900/5005] lr: 9.1354e-02 eta: 1 day, 17:06:00 time: 0.3356 data_time: 0.0040 loss: 2.1359 03/03 09:14:17 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 09:14:50 - mmengine - INFO - Epoch(train) [20][1000/5005] lr: 9.1354e-02 eta: 1 day, 17:05:17 time: 0.3767 data_time: 0.0042 loss: 2.2111 03/03 09:15:25 - mmengine - INFO - Epoch(train) [20][1100/5005] lr: 9.1354e-02 eta: 1 day, 17:04:34 time: 0.3371 data_time: 0.0042 loss: 2.0721 03/03 09:16:00 - mmengine - INFO - Epoch(train) [20][1200/5005] lr: 9.1354e-02 eta: 1 day, 17:03:51 time: 0.3469 data_time: 0.0043 loss: 2.2983 03/03 09:16:35 - mmengine - INFO - Epoch(train) [20][1300/5005] lr: 9.1354e-02 eta: 1 day, 17:03:07 time: 0.3508 data_time: 0.0040 loss: 2.1753 03/03 09:17:11 - mmengine - INFO - Epoch(train) [20][1400/5005] lr: 9.1354e-02 eta: 1 day, 17:02:26 time: 0.3453 data_time: 0.0040 loss: 2.3049 03/03 09:17:46 - mmengine - INFO - Epoch(train) [20][1500/5005] lr: 9.1354e-02 eta: 1 day, 17:01:45 time: 0.3595 data_time: 0.0040 loss: 1.9390 03/03 09:18:21 - mmengine - INFO - Epoch(train) [20][1600/5005] lr: 9.1354e-02 eta: 1 day, 17:00:59 time: 0.3414 data_time: 0.0041 loss: 2.1040 03/03 09:18:57 - mmengine - INFO - Epoch(train) [20][1700/5005] lr: 9.1354e-02 eta: 1 day, 17:00:20 time: 0.3459 data_time: 0.0044 loss: 2.0432 03/03 09:19:32 - mmengine - INFO - Epoch(train) [20][1800/5005] lr: 9.1354e-02 eta: 1 day, 16:59:38 time: 0.3517 data_time: 0.0039 loss: 2.3219 03/03 09:20:07 - mmengine - INFO - Epoch(train) [20][1900/5005] lr: 9.1354e-02 eta: 1 day, 16:58:56 time: 0.3501 data_time: 0.0040 loss: 2.2380 03/03 09:20:09 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 09:20:43 - mmengine - INFO - Epoch(train) [20][2000/5005] lr: 9.1354e-02 eta: 1 day, 16:58:15 time: 0.3535 data_time: 0.0041 loss: 2.1679 03/03 09:21:17 - mmengine - INFO - Epoch(train) [20][2100/5005] lr: 9.1354e-02 eta: 1 day, 16:57:30 time: 0.3541 data_time: 0.0039 loss: 2.3090 03/03 09:21:53 - mmengine - INFO - Epoch(train) [20][2200/5005] lr: 9.1354e-02 eta: 1 day, 16:56:49 time: 0.3366 data_time: 0.0041 loss: 2.0758 03/03 09:22:28 - mmengine - INFO - Epoch(train) [20][2300/5005] lr: 9.1354e-02 eta: 1 day, 16:56:09 time: 0.3708 data_time: 0.0039 loss: 2.0845 03/03 09:23:03 - mmengine - INFO - Epoch(train) [20][2400/5005] lr: 9.1354e-02 eta: 1 day, 16:55:25 time: 0.3424 data_time: 0.0041 loss: 2.0707 03/03 09:23:39 - mmengine - INFO - Epoch(train) [20][2500/5005] lr: 9.1354e-02 eta: 1 day, 16:54:43 time: 0.3469 data_time: 0.0040 loss: 2.1808 03/03 09:24:13 - mmengine - INFO - Epoch(train) [20][2600/5005] lr: 9.1354e-02 eta: 1 day, 16:53:59 time: 0.3545 data_time: 0.0040 loss: 2.2446 03/03 09:24:49 - mmengine - INFO - Epoch(train) [20][2700/5005] lr: 9.1354e-02 eta: 1 day, 16:53:18 time: 0.3438 data_time: 0.0040 loss: 2.3608 03/03 09:25:24 - mmengine - INFO - Epoch(train) [20][2800/5005] lr: 9.1354e-02 eta: 1 day, 16:52:36 time: 0.3483 data_time: 0.0041 loss: 1.9931 03/03 09:25:59 - mmengine - INFO - Epoch(train) [20][2900/5005] lr: 9.1354e-02 eta: 1 day, 16:51:51 time: 0.3553 data_time: 0.0044 loss: 2.0765 03/03 09:26:01 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 09:26:34 - mmengine - INFO - Epoch(train) [20][3000/5005] lr: 9.1354e-02 eta: 1 day, 16:51:10 time: 0.3460 data_time: 0.0040 loss: 2.3517 03/03 09:27:09 - mmengine - INFO - Epoch(train) [20][3100/5005] lr: 9.1354e-02 eta: 1 day, 16:50:27 time: 0.3537 data_time: 0.0043 loss: 2.1003 03/03 09:27:44 - mmengine - INFO - Epoch(train) [20][3200/5005] lr: 9.1354e-02 eta: 1 day, 16:49:44 time: 0.3501 data_time: 0.0041 loss: 2.3817 03/03 09:28:20 - mmengine - INFO - Epoch(train) [20][3300/5005] lr: 9.1354e-02 eta: 1 day, 16:49:03 time: 0.3441 data_time: 0.0042 loss: 2.0954 03/03 09:28:55 - mmengine - INFO - Epoch(train) [20][3400/5005] lr: 9.1354e-02 eta: 1 day, 16:48:20 time: 0.3818 data_time: 0.0044 loss: 2.1743 03/03 09:29:30 - mmengine - INFO - Epoch(train) [20][3500/5005] lr: 9.1354e-02 eta: 1 day, 16:47:37 time: 0.3427 data_time: 0.0042 loss: 2.2051 03/03 09:30:05 - mmengine - INFO - Epoch(train) [20][3600/5005] lr: 9.1354e-02 eta: 1 day, 16:46:56 time: 0.3684 data_time: 0.0041 loss: 2.0147 03/03 09:30:40 - mmengine - INFO - Epoch(train) [20][3700/5005] lr: 9.1354e-02 eta: 1 day, 16:46:12 time: 0.3603 data_time: 0.0041 loss: 2.2183 03/03 09:31:16 - mmengine - INFO - Epoch(train) [20][3800/5005] lr: 9.1354e-02 eta: 1 day, 16:45:32 time: 0.3678 data_time: 0.0041 loss: 2.2305 03/03 09:31:51 - mmengine - INFO - Epoch(train) [20][3900/5005] lr: 9.1354e-02 eta: 1 day, 16:44:51 time: 0.3496 data_time: 0.0043 loss: 2.2753 03/03 09:31:53 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 09:32:26 - mmengine - INFO - Epoch(train) [20][4000/5005] lr: 9.1354e-02 eta: 1 day, 16:44:07 time: 0.3467 data_time: 0.0041 loss: 2.4100 03/03 09:33:01 - mmengine - INFO - Epoch(train) [20][4100/5005] lr: 9.1354e-02 eta: 1 day, 16:43:25 time: 0.3411 data_time: 0.0047 loss: 1.9036 03/03 09:33:36 - mmengine - INFO - Epoch(train) [20][4200/5005] lr: 9.1354e-02 eta: 1 day, 16:42:43 time: 0.3679 data_time: 0.0043 loss: 2.2781 03/03 09:34:11 - mmengine - INFO - Epoch(train) [20][4300/5005] lr: 9.1354e-02 eta: 1 day, 16:42:00 time: 0.3486 data_time: 0.0039 loss: 2.2351 03/03 09:34:47 - mmengine - INFO - Epoch(train) [20][4400/5005] lr: 9.1354e-02 eta: 1 day, 16:41:19 time: 0.3505 data_time: 0.0040 loss: 2.3572 03/03 09:35:22 - mmengine - INFO - Epoch(train) [20][4500/5005] lr: 9.1354e-02 eta: 1 day, 16:40:36 time: 0.3655 data_time: 0.0040 loss: 2.0741 03/03 09:35:57 - mmengine - INFO - Epoch(train) [20][4600/5005] lr: 9.1354e-02 eta: 1 day, 16:39:54 time: 0.3480 data_time: 0.0040 loss: 2.3081 03/03 09:36:32 - mmengine - INFO - Epoch(train) [20][4700/5005] lr: 9.1354e-02 eta: 1 day, 16:39:14 time: 0.3480 data_time: 0.0044 loss: 2.0962 03/03 09:37:07 - mmengine - INFO - Epoch(train) [20][4800/5005] lr: 9.1354e-02 eta: 1 day, 16:38:31 time: 0.3542 data_time: 0.0043 loss: 2.0473 03/03 09:37:44 - mmengine - INFO - Epoch(train) [20][4900/5005] lr: 9.1354e-02 eta: 1 day, 16:37:55 time: 0.4391 data_time: 0.0058 loss: 2.0782 03/03 09:37:46 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 09:38:26 - mmengine - INFO - Epoch(train) [20][5000/5005] lr: 9.1354e-02 eta: 1 day, 16:37:40 time: 0.4285 data_time: 0.0045 loss: 2.1454 03/03 09:38:28 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 09:38:31 - mmengine - INFO - Saving checkpoint at 20 epochs 03/03 09:38:48 - mmengine - INFO - Epoch(val) [20][100/196] eta: 0:00:14 time: 0.0458 data_time: 0.0003 03/03 09:39:04 - mmengine - INFO - Epoch(val) [20][196/196] accuracy/top1: 55.2260 accuracy/top5: 80.1720 03/03 09:39:48 - mmengine - INFO - Epoch(train) [21][ 100/5005] lr: 9.0451e-02 eta: 1 day, 16:37:30 time: 0.3400 data_time: 0.0040 loss: 1.9925 03/03 09:40:23 - mmengine - INFO - Epoch(train) [21][ 200/5005] lr: 9.0451e-02 eta: 1 day, 16:36:48 time: 0.3459 data_time: 0.0042 loss: 1.9985 03/03 09:40:58 - mmengine - INFO - Epoch(train) [21][ 300/5005] lr: 9.0451e-02 eta: 1 day, 16:36:07 time: 0.3896 data_time: 0.0040 loss: 2.3038 03/03 09:41:34 - mmengine - INFO - Epoch(train) [21][ 400/5005] lr: 9.0451e-02 eta: 1 day, 16:35:25 time: 0.3479 data_time: 0.0043 loss: 2.1328 03/03 09:42:09 - mmengine - INFO - Epoch(train) [21][ 500/5005] lr: 9.0451e-02 eta: 1 day, 16:34:44 time: 0.3434 data_time: 0.0043 loss: 1.9517 03/03 09:42:45 - mmengine - INFO - Epoch(train) [21][ 600/5005] lr: 9.0451e-02 eta: 1 day, 16:34:04 time: 0.3452 data_time: 0.0041 loss: 1.8906 03/03 09:43:20 - mmengine - INFO - Epoch(train) [21][ 700/5005] lr: 9.0451e-02 eta: 1 day, 16:33:21 time: 0.3379 data_time: 0.0040 loss: 1.9625 03/03 09:43:55 - mmengine - INFO - Epoch(train) [21][ 800/5005] lr: 9.0451e-02 eta: 1 day, 16:32:40 time: 0.3426 data_time: 0.0042 loss: 2.1493 03/03 09:44:30 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 09:44:30 - mmengine - INFO - Epoch(train) [21][ 900/5005] lr: 9.0451e-02 eta: 1 day, 16:31:58 time: 0.3411 data_time: 0.0041 loss: 2.0665 03/03 09:45:06 - mmengine - INFO - Epoch(train) [21][1000/5005] lr: 9.0451e-02 eta: 1 day, 16:31:16 time: 0.3694 data_time: 0.0040 loss: 2.2227 03/03 09:45:40 - mmengine - INFO - Epoch(train) [21][1100/5005] lr: 9.0451e-02 eta: 1 day, 16:30:33 time: 0.3457 data_time: 0.0039 loss: 2.0697 03/03 09:46:16 - mmengine - INFO - Epoch(train) [21][1200/5005] lr: 9.0451e-02 eta: 1 day, 16:29:52 time: 0.3496 data_time: 0.0044 loss: 2.2582 03/03 09:46:51 - mmengine - INFO - Epoch(train) [21][1300/5005] lr: 9.0451e-02 eta: 1 day, 16:29:11 time: 0.3499 data_time: 0.0041 loss: 2.0572 03/03 09:47:27 - mmengine - INFO - Epoch(train) [21][1400/5005] lr: 9.0451e-02 eta: 1 day, 16:28:31 time: 0.3506 data_time: 0.0041 loss: 2.0336 03/03 09:48:02 - mmengine - INFO - Epoch(train) [21][1500/5005] lr: 9.0451e-02 eta: 1 day, 16:27:49 time: 0.3432 data_time: 0.0044 loss: 1.9788 03/03 09:48:37 - mmengine - INFO - Epoch(train) [21][1600/5005] lr: 9.0451e-02 eta: 1 day, 16:27:07 time: 0.3570 data_time: 0.0046 loss: 2.1445 03/03 09:49:13 - mmengine - INFO - Epoch(train) [21][1700/5005] lr: 9.0451e-02 eta: 1 day, 16:26:26 time: 0.3538 data_time: 0.0039 loss: 2.2063 03/03 09:49:48 - mmengine - INFO - Epoch(train) [21][1800/5005] lr: 9.0451e-02 eta: 1 day, 16:25:46 time: 0.3531 data_time: 0.0044 loss: 2.0330 03/03 09:50:24 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 09:50:24 - mmengine - INFO - Epoch(train) [21][1900/5005] lr: 9.0451e-02 eta: 1 day, 16:25:04 time: 0.3616 data_time: 0.0042 loss: 2.2575 03/03 09:50:59 - mmengine - INFO - Epoch(train) [21][2000/5005] lr: 9.0451e-02 eta: 1 day, 16:24:22 time: 0.3493 data_time: 0.0040 loss: 2.2189 03/03 09:51:34 - mmengine - INFO - Epoch(train) [21][2100/5005] lr: 9.0451e-02 eta: 1 day, 16:23:40 time: 0.3493 data_time: 0.0042 loss: 2.1543 03/03 09:52:09 - mmengine - INFO - Epoch(train) [21][2200/5005] lr: 9.0451e-02 eta: 1 day, 16:22:59 time: 0.3624 data_time: 0.0042 loss: 2.1350 03/03 09:52:44 - mmengine - INFO - Epoch(train) [21][2300/5005] lr: 9.0451e-02 eta: 1 day, 16:22:17 time: 0.3518 data_time: 0.0043 loss: 2.1418 03/03 09:53:19 - mmengine - INFO - Epoch(train) [21][2400/5005] lr: 9.0451e-02 eta: 1 day, 16:21:35 time: 0.3559 data_time: 0.0045 loss: 2.2131 03/03 09:53:55 - mmengine - INFO - Epoch(train) [21][2500/5005] lr: 9.0451e-02 eta: 1 day, 16:20:53 time: 0.3600 data_time: 0.0040 loss: 2.2920 03/03 09:54:30 - mmengine - INFO - Epoch(train) [21][2600/5005] lr: 9.0451e-02 eta: 1 day, 16:20:12 time: 0.3601 data_time: 0.0040 loss: 2.1916 03/03 09:55:05 - mmengine - INFO - Epoch(train) [21][2700/5005] lr: 9.0451e-02 eta: 1 day, 16:19:29 time: 0.3390 data_time: 0.0039 loss: 2.0707 03/03 09:55:40 - mmengine - INFO - Epoch(train) [21][2800/5005] lr: 9.0451e-02 eta: 1 day, 16:18:49 time: 0.3594 data_time: 0.0039 loss: 2.3729 03/03 09:56:16 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 09:56:16 - mmengine - INFO - Epoch(train) [21][2900/5005] lr: 9.0451e-02 eta: 1 day, 16:18:08 time: 0.3502 data_time: 0.0040 loss: 2.3017 03/03 09:56:51 - mmengine - INFO - Epoch(train) [21][3000/5005] lr: 9.0451e-02 eta: 1 day, 16:17:27 time: 0.3412 data_time: 0.0043 loss: 2.1301 03/03 09:57:27 - mmengine - INFO - Epoch(train) [21][3100/5005] lr: 9.0451e-02 eta: 1 day, 16:16:47 time: 0.3635 data_time: 0.0041 loss: 2.1348 03/03 09:58:02 - mmengine - INFO - Epoch(train) [21][3200/5005] lr: 9.0451e-02 eta: 1 day, 16:16:05 time: 0.3503 data_time: 0.0044 loss: 2.1241 03/03 09:58:37 - mmengine - INFO - Epoch(train) [21][3300/5005] lr: 9.0451e-02 eta: 1 day, 16:15:23 time: 0.3505 data_time: 0.0041 loss: 2.0995 03/03 09:59:12 - mmengine - INFO - Epoch(train) [21][3400/5005] lr: 9.0451e-02 eta: 1 day, 16:14:42 time: 0.3399 data_time: 0.0041 loss: 2.0247 03/03 09:59:48 - mmengine - INFO - Epoch(train) [21][3500/5005] lr: 9.0451e-02 eta: 1 day, 16:14:01 time: 0.3801 data_time: 0.0041 loss: 2.2888 03/03 10:00:23 - mmengine - INFO - Epoch(train) [21][3600/5005] lr: 9.0451e-02 eta: 1 day, 16:13:19 time: 0.3506 data_time: 0.0039 loss: 2.1804 03/03 10:00:58 - mmengine - INFO - Epoch(train) [21][3700/5005] lr: 9.0451e-02 eta: 1 day, 16:12:37 time: 0.3378 data_time: 0.0041 loss: 2.1685 03/03 10:01:33 - mmengine - INFO - Epoch(train) [21][3800/5005] lr: 9.0451e-02 eta: 1 day, 16:11:55 time: 0.3450 data_time: 0.0041 loss: 2.2175 03/03 10:02:08 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 10:02:08 - mmengine - INFO - Epoch(train) [21][3900/5005] lr: 9.0451e-02 eta: 1 day, 16:11:13 time: 0.3470 data_time: 0.0040 loss: 2.2530 03/03 10:02:44 - mmengine - INFO - Epoch(train) [21][4000/5005] lr: 9.0451e-02 eta: 1 day, 16:10:34 time: 0.3588 data_time: 0.0041 loss: 2.3112 03/03 10:03:18 - mmengine - INFO - Epoch(train) [21][4100/5005] lr: 9.0451e-02 eta: 1 day, 16:09:50 time: 0.3578 data_time: 0.0041 loss: 2.3688 03/03 10:03:54 - mmengine - INFO - Epoch(train) [21][4200/5005] lr: 9.0451e-02 eta: 1 day, 16:09:08 time: 0.3561 data_time: 0.0041 loss: 2.1409 03/03 10:04:29 - mmengine - INFO - Epoch(train) [21][4300/5005] lr: 9.0451e-02 eta: 1 day, 16:08:26 time: 0.3415 data_time: 0.0043 loss: 2.3937 03/03 10:05:04 - mmengine - INFO - Epoch(train) [21][4400/5005] lr: 9.0451e-02 eta: 1 day, 16:07:45 time: 0.3488 data_time: 0.0040 loss: 2.1540 03/03 10:05:39 - mmengine - INFO - Epoch(train) [21][4500/5005] lr: 9.0451e-02 eta: 1 day, 16:07:04 time: 0.3426 data_time: 0.0041 loss: 2.0413 03/03 10:06:14 - mmengine - INFO - Epoch(train) [21][4600/5005] lr: 9.0451e-02 eta: 1 day, 16:06:21 time: 0.3533 data_time: 0.0040 loss: 2.1392 03/03 10:06:49 - mmengine - INFO - Epoch(train) [21][4700/5005] lr: 9.0451e-02 eta: 1 day, 16:05:39 time: 0.3477 data_time: 0.0041 loss: 2.1149 03/03 10:07:24 - mmengine - INFO - Epoch(train) [21][4800/5005] lr: 9.0451e-02 eta: 1 day, 16:04:58 time: 0.3593 data_time: 0.0040 loss: 2.1254 03/03 10:08:00 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 10:08:00 - mmengine - INFO - Epoch(train) [21][4900/5005] lr: 9.0451e-02 eta: 1 day, 16:04:20 time: 0.4006 data_time: 0.0043 loss: 2.3160 03/03 10:08:43 - mmengine - INFO - Epoch(train) [21][5000/5005] lr: 9.0451e-02 eta: 1 day, 16:04:07 time: 0.4120 data_time: 0.0041 loss: 2.0393 03/03 10:08:45 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 10:08:48 - mmengine - INFO - Saving checkpoint at 21 epochs 03/03 10:09:05 - mmengine - INFO - Epoch(val) [21][100/196] eta: 0:00:14 time: 0.0481 data_time: 0.0003 03/03 10:09:22 - mmengine - INFO - Epoch(val) [21][196/196] accuracy/top1: 54.1540 accuracy/top5: 79.5340 03/03 10:10:06 - mmengine - INFO - Epoch(train) [22][ 100/5005] lr: 8.9508e-02 eta: 1 day, 16:04:00 time: 0.3800 data_time: 0.0044 loss: 2.0615 03/03 10:10:41 - mmengine - INFO - Epoch(train) [22][ 200/5005] lr: 8.9508e-02 eta: 1 day, 16:03:17 time: 0.3430 data_time: 0.0042 loss: 2.2168 03/03 10:11:16 - mmengine - INFO - Epoch(train) [22][ 300/5005] lr: 8.9508e-02 eta: 1 day, 16:02:36 time: 0.3412 data_time: 0.0042 loss: 2.1988 03/03 10:11:51 - mmengine - INFO - Epoch(train) [22][ 400/5005] lr: 8.9508e-02 eta: 1 day, 16:01:55 time: 0.3500 data_time: 0.0043 loss: 2.0595 03/03 10:12:27 - mmengine - INFO - Epoch(train) [22][ 500/5005] lr: 8.9508e-02 eta: 1 day, 16:01:14 time: 0.3654 data_time: 0.0043 loss: 2.2161 03/03 10:13:02 - mmengine - INFO - Epoch(train) [22][ 600/5005] lr: 8.9508e-02 eta: 1 day, 16:00:34 time: 0.3382 data_time: 0.0040 loss: 2.4122 03/03 10:13:37 - mmengine - INFO - Epoch(train) [22][ 700/5005] lr: 8.9508e-02 eta: 1 day, 15:59:52 time: 0.3672 data_time: 0.0044 loss: 2.1705 03/03 10:14:13 - mmengine - INFO - Epoch(train) [22][ 800/5005] lr: 8.9508e-02 eta: 1 day, 15:59:10 time: 0.3423 data_time: 0.0042 loss: 2.0640 03/03 10:14:46 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 10:14:48 - mmengine - INFO - Epoch(train) [22][ 900/5005] lr: 8.9508e-02 eta: 1 day, 15:58:31 time: 0.3835 data_time: 0.0041 loss: 1.9949 03/03 10:15:23 - mmengine - INFO - Epoch(train) [22][1000/5005] lr: 8.9508e-02 eta: 1 day, 15:57:49 time: 0.3473 data_time: 0.0040 loss: 2.2214 03/03 10:15:58 - mmengine - INFO - Epoch(train) [22][1100/5005] lr: 8.9508e-02 eta: 1 day, 15:57:07 time: 0.3392 data_time: 0.0040 loss: 2.1727 03/03 10:16:33 - mmengine - INFO - Epoch(train) [22][1200/5005] lr: 8.9508e-02 eta: 1 day, 15:56:25 time: 0.3527 data_time: 0.0042 loss: 1.9457 03/03 10:17:08 - mmengine - INFO - Epoch(train) [22][1300/5005] lr: 8.9508e-02 eta: 1 day, 15:55:43 time: 0.3534 data_time: 0.0043 loss: 2.1974 03/03 10:17:44 - mmengine - INFO - Epoch(train) [22][1400/5005] lr: 8.9508e-02 eta: 1 day, 15:55:03 time: 0.3517 data_time: 0.0042 loss: 2.2923 03/03 10:18:19 - mmengine - INFO - Epoch(train) [22][1500/5005] lr: 8.9508e-02 eta: 1 day, 15:54:21 time: 0.3460 data_time: 0.0043 loss: 2.1353 03/03 10:18:54 - mmengine - INFO - Epoch(train) [22][1600/5005] lr: 8.9508e-02 eta: 1 day, 15:53:39 time: 0.3495 data_time: 0.0039 loss: 2.1731 03/03 10:19:30 - mmengine - INFO - Epoch(train) [22][1700/5005] lr: 8.9508e-02 eta: 1 day, 15:52:59 time: 0.3676 data_time: 0.0045 loss: 2.0819 03/03 10:20:05 - mmengine - INFO - Epoch(train) [22][1800/5005] lr: 8.9508e-02 eta: 1 day, 15:52:18 time: 0.3478 data_time: 0.0042 loss: 2.0064 03/03 10:20:38 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 10:20:40 - mmengine - INFO - Epoch(train) [22][1900/5005] lr: 8.9508e-02 eta: 1 day, 15:51:36 time: 0.3370 data_time: 0.0043 loss: 2.2035 03/03 10:21:15 - mmengine - INFO - Epoch(train) [22][2000/5005] lr: 8.9508e-02 eta: 1 day, 15:50:54 time: 0.3542 data_time: 0.0041 loss: 2.1775 03/03 10:21:50 - mmengine - INFO - Epoch(train) [22][2100/5005] lr: 8.9508e-02 eta: 1 day, 15:50:14 time: 0.3449 data_time: 0.0043 loss: 2.4553 03/03 10:22:26 - mmengine - INFO - Epoch(train) [22][2200/5005] lr: 8.9508e-02 eta: 1 day, 15:49:33 time: 0.3504 data_time: 0.0042 loss: 2.1178 03/03 10:23:01 - mmengine - INFO - Epoch(train) [22][2300/5005] lr: 8.9508e-02 eta: 1 day, 15:48:52 time: 0.3434 data_time: 0.0042 loss: 2.0989 03/03 10:23:36 - mmengine - INFO - Epoch(train) [22][2400/5005] lr: 8.9508e-02 eta: 1 day, 15:48:11 time: 0.3471 data_time: 0.0040 loss: 2.0711 03/03 10:24:12 - mmengine - INFO - Epoch(train) [22][2500/5005] lr: 8.9508e-02 eta: 1 day, 15:47:30 time: 0.3596 data_time: 0.0040 loss: 2.0570 03/03 10:24:46 - mmengine - INFO - Epoch(train) [22][2600/5005] lr: 8.9508e-02 eta: 1 day, 15:46:48 time: 0.3403 data_time: 0.0040 loss: 2.2819 03/03 10:25:22 - mmengine - INFO - Epoch(train) [22][2700/5005] lr: 8.9508e-02 eta: 1 day, 15:46:08 time: 0.3546 data_time: 0.0042 loss: 2.1990 03/03 10:25:57 - mmengine - INFO - Epoch(train) [22][2800/5005] lr: 8.9508e-02 eta: 1 day, 15:45:27 time: 0.3614 data_time: 0.0041 loss: 2.2920 03/03 10:26:31 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 10:26:33 - mmengine - INFO - Epoch(train) [22][2900/5005] lr: 8.9508e-02 eta: 1 day, 15:44:47 time: 0.3670 data_time: 0.0040 loss: 2.3740 03/03 10:27:08 - mmengine - INFO - Epoch(train) [22][3000/5005] lr: 8.9508e-02 eta: 1 day, 15:44:07 time: 0.3707 data_time: 0.0042 loss: 2.0982 03/03 10:27:43 - mmengine - INFO - Epoch(train) [22][3100/5005] lr: 8.9508e-02 eta: 1 day, 15:43:26 time: 0.3423 data_time: 0.0040 loss: 2.2228 03/03 10:28:19 - mmengine - INFO - Epoch(train) [22][3200/5005] lr: 8.9508e-02 eta: 1 day, 15:42:45 time: 0.3520 data_time: 0.0042 loss: 2.0389 03/03 10:28:54 - mmengine - INFO - Epoch(train) [22][3300/5005] lr: 8.9508e-02 eta: 1 day, 15:42:04 time: 0.3536 data_time: 0.0041 loss: 2.3069 03/03 10:29:29 - mmengine - INFO - Epoch(train) [22][3400/5005] lr: 8.9508e-02 eta: 1 day, 15:41:22 time: 0.3422 data_time: 0.0041 loss: 2.0000 03/03 10:30:04 - mmengine - INFO - Epoch(train) [22][3500/5005] lr: 8.9508e-02 eta: 1 day, 15:40:41 time: 0.3456 data_time: 0.0042 loss: 2.1876 03/03 10:30:39 - mmengine - INFO - Epoch(train) [22][3600/5005] lr: 8.9508e-02 eta: 1 day, 15:39:59 time: 0.3470 data_time: 0.0039 loss: 2.2320 03/03 10:31:14 - mmengine - INFO - Epoch(train) [22][3700/5005] lr: 8.9508e-02 eta: 1 day, 15:39:18 time: 0.3593 data_time: 0.0042 loss: 2.3521 03/03 10:31:49 - mmengine - INFO - Epoch(train) [22][3800/5005] lr: 8.9508e-02 eta: 1 day, 15:38:37 time: 0.3475 data_time: 0.0042 loss: 2.2075 03/03 10:32:23 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 10:32:24 - mmengine - INFO - Epoch(train) [22][3900/5005] lr: 8.9508e-02 eta: 1 day, 15:37:55 time: 0.3623 data_time: 0.0042 loss: 2.2490 03/03 10:32:59 - mmengine - INFO - Epoch(train) [22][4000/5005] lr: 8.9508e-02 eta: 1 day, 15:37:14 time: 0.3416 data_time: 0.0042 loss: 2.0667 03/03 10:33:35 - mmengine - INFO - Epoch(train) [22][4100/5005] lr: 8.9508e-02 eta: 1 day, 15:36:33 time: 0.3700 data_time: 0.0041 loss: 2.4453 03/03 10:34:10 - mmengine - INFO - Epoch(train) [22][4200/5005] lr: 8.9508e-02 eta: 1 day, 15:35:52 time: 0.3482 data_time: 0.0042 loss: 2.3086 03/03 10:34:45 - mmengine - INFO - Epoch(train) [22][4300/5005] lr: 8.9508e-02 eta: 1 day, 15:35:11 time: 0.3564 data_time: 0.0040 loss: 2.2965 03/03 10:35:20 - mmengine - INFO - Epoch(train) [22][4400/5005] lr: 8.9508e-02 eta: 1 day, 15:34:29 time: 0.3658 data_time: 0.0040 loss: 2.2929 03/03 10:35:55 - mmengine - INFO - Epoch(train) [22][4500/5005] lr: 8.9508e-02 eta: 1 day, 15:33:48 time: 0.3422 data_time: 0.0042 loss: 2.2197 03/03 10:36:31 - mmengine - INFO - Epoch(train) [22][4600/5005] lr: 8.9508e-02 eta: 1 day, 15:33:08 time: 0.3525 data_time: 0.0040 loss: 2.1442 03/03 10:37:05 - mmengine - INFO - Epoch(train) [22][4700/5005] lr: 8.9508e-02 eta: 1 day, 15:32:25 time: 0.3415 data_time: 0.0042 loss: 2.3156 03/03 10:37:41 - mmengine - INFO - Epoch(train) [22][4800/5005] lr: 8.9508e-02 eta: 1 day, 15:31:44 time: 0.3446 data_time: 0.0043 loss: 2.1441 03/03 10:38:15 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 10:38:17 - mmengine - INFO - Epoch(train) [22][4900/5005] lr: 8.9508e-02 eta: 1 day, 15:31:06 time: 0.4417 data_time: 0.0049 loss: 2.1035 03/03 10:38:58 - mmengine - INFO - Epoch(train) [22][5000/5005] lr: 8.9508e-02 eta: 1 day, 15:30:48 time: 0.4442 data_time: 0.0044 loss: 2.2214 03/03 10:39:00 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 10:39:03 - mmengine - INFO - Saving checkpoint at 22 epochs 03/03 10:39:20 - mmengine - INFO - Epoch(val) [22][100/196] eta: 0:00:14 time: 0.0461 data_time: 0.0003 03/03 10:39:36 - mmengine - INFO - Epoch(val) [22][196/196] accuracy/top1: 55.1920 accuracy/top5: 79.8760 03/03 10:40:20 - mmengine - INFO - Epoch(train) [23][ 100/5005] lr: 8.8526e-02 eta: 1 day, 15:30:37 time: 0.3469 data_time: 0.0042 loss: 1.9481 03/03 10:40:55 - mmengine - INFO - Epoch(train) [23][ 200/5005] lr: 8.8526e-02 eta: 1 day, 15:29:57 time: 0.3446 data_time: 0.0040 loss: 2.1432 03/03 10:41:30 - mmengine - INFO - Epoch(train) [23][ 300/5005] lr: 8.8526e-02 eta: 1 day, 15:29:15 time: 0.3573 data_time: 0.0041 loss: 2.0969 03/03 10:42:06 - mmengine - INFO - Epoch(train) [23][ 400/5005] lr: 8.8526e-02 eta: 1 day, 15:28:35 time: 0.3511 data_time: 0.0045 loss: 2.2741 03/03 10:42:41 - mmengine - INFO - Epoch(train) [23][ 500/5005] lr: 8.8526e-02 eta: 1 day, 15:27:54 time: 0.3613 data_time: 0.0042 loss: 2.2239 03/03 10:43:16 - mmengine - INFO - Epoch(train) [23][ 600/5005] lr: 8.8526e-02 eta: 1 day, 15:27:14 time: 0.3401 data_time: 0.0041 loss: 2.3457 03/03 10:43:51 - mmengine - INFO - Epoch(train) [23][ 700/5005] lr: 8.8526e-02 eta: 1 day, 15:26:33 time: 0.3494 data_time: 0.0041 loss: 1.9948 03/03 10:44:26 - mmengine - INFO - Epoch(train) [23][ 800/5005] lr: 8.8526e-02 eta: 1 day, 15:25:51 time: 0.3389 data_time: 0.0042 loss: 2.4062 03/03 10:44:58 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 10:45:02 - mmengine - INFO - Epoch(train) [23][ 900/5005] lr: 8.8526e-02 eta: 1 day, 15:25:12 time: 0.3571 data_time: 0.0044 loss: 2.0101 03/03 10:45:37 - mmengine - INFO - Epoch(train) [23][1000/5005] lr: 8.8526e-02 eta: 1 day, 15:24:31 time: 0.3658 data_time: 0.0043 loss: 2.0880 03/03 10:46:12 - mmengine - INFO - Epoch(train) [23][1100/5005] lr: 8.8526e-02 eta: 1 day, 15:23:49 time: 0.3317 data_time: 0.0042 loss: 2.3068 03/03 10:46:48 - mmengine - INFO - Epoch(train) [23][1200/5005] lr: 8.8526e-02 eta: 1 day, 15:23:09 time: 0.3600 data_time: 0.0042 loss: 2.3091 03/03 10:47:23 - mmengine - INFO - Epoch(train) [23][1300/5005] lr: 8.8526e-02 eta: 1 day, 15:22:27 time: 0.3644 data_time: 0.0044 loss: 2.0994 03/03 10:47:58 - mmengine - INFO - Epoch(train) [23][1400/5005] lr: 8.8526e-02 eta: 1 day, 15:21:47 time: 0.3433 data_time: 0.0042 loss: 2.0601 03/03 10:48:33 - mmengine - INFO - Epoch(train) [23][1500/5005] lr: 8.8526e-02 eta: 1 day, 15:21:07 time: 0.3345 data_time: 0.0041 loss: 2.3962 03/03 10:49:08 - mmengine - INFO - Epoch(train) [23][1600/5005] lr: 8.8526e-02 eta: 1 day, 15:20:25 time: 0.3510 data_time: 0.0043 loss: 2.0108 03/03 10:49:43 - mmengine - INFO - Epoch(train) [23][1700/5005] lr: 8.8526e-02 eta: 1 day, 15:19:44 time: 0.3406 data_time: 0.0044 loss: 2.1471 03/03 10:50:19 - mmengine - INFO - Epoch(train) [23][1800/5005] lr: 8.8526e-02 eta: 1 day, 15:19:03 time: 0.3619 data_time: 0.0042 loss: 2.3064 03/03 10:50:50 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 10:50:53 - mmengine - INFO - Epoch(train) [23][1900/5005] lr: 8.8526e-02 eta: 1 day, 15:18:21 time: 0.3577 data_time: 0.0039 loss: 1.9664 03/03 10:51:29 - mmengine - INFO - Epoch(train) [23][2000/5005] lr: 8.8526e-02 eta: 1 day, 15:17:41 time: 0.3715 data_time: 0.0041 loss: 2.0879 03/03 10:52:04 - mmengine - INFO - Epoch(train) [23][2100/5005] lr: 8.8526e-02 eta: 1 day, 15:16:59 time: 0.3504 data_time: 0.0042 loss: 2.3502 03/03 10:52:39 - mmengine - INFO - Epoch(train) [23][2200/5005] lr: 8.8526e-02 eta: 1 day, 15:16:19 time: 0.3441 data_time: 0.0042 loss: 2.2394 03/03 10:53:14 - mmengine - INFO - Epoch(train) [23][2300/5005] lr: 8.8526e-02 eta: 1 day, 15:15:38 time: 0.3460 data_time: 0.0040 loss: 2.0321 03/03 10:53:49 - mmengine - INFO - Epoch(train) [23][2400/5005] lr: 8.8526e-02 eta: 1 day, 15:14:56 time: 0.3635 data_time: 0.0043 loss: 2.0596 03/03 10:54:24 - mmengine - INFO - Epoch(train) [23][2500/5005] lr: 8.8526e-02 eta: 1 day, 15:14:16 time: 0.3410 data_time: 0.0040 loss: 2.0664 03/03 10:54:59 - mmengine - INFO - Epoch(train) [23][2600/5005] lr: 8.8526e-02 eta: 1 day, 15:13:34 time: 0.3614 data_time: 0.0043 loss: 2.2179 03/03 10:55:34 - mmengine - INFO - Epoch(train) [23][2700/5005] lr: 8.8526e-02 eta: 1 day, 15:12:52 time: 0.3601 data_time: 0.0040 loss: 2.1081 03/03 10:56:09 - mmengine - INFO - Epoch(train) [23][2800/5005] lr: 8.8526e-02 eta: 1 day, 15:12:11 time: 0.3385 data_time: 0.0041 loss: 2.3290 03/03 10:56:41 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 10:56:45 - mmengine - INFO - Epoch(train) [23][2900/5005] lr: 8.8526e-02 eta: 1 day, 15:11:31 time: 0.3529 data_time: 0.0044 loss: 2.2206 03/03 10:57:20 - mmengine - INFO - Epoch(train) [23][3000/5005] lr: 8.8526e-02 eta: 1 day, 15:10:50 time: 0.3566 data_time: 0.0044 loss: 1.8749 03/03 10:57:55 - mmengine - INFO - Epoch(train) [23][3100/5005] lr: 8.8526e-02 eta: 1 day, 15:10:09 time: 0.3436 data_time: 0.0040 loss: 1.9599 03/03 10:58:30 - mmengine - INFO - Epoch(train) [23][3200/5005] lr: 8.8526e-02 eta: 1 day, 15:09:27 time: 0.3442 data_time: 0.0041 loss: 2.0824 03/03 10:59:05 - mmengine - INFO - Epoch(train) [23][3300/5005] lr: 8.8526e-02 eta: 1 day, 15:08:47 time: 0.3463 data_time: 0.0046 loss: 2.1026 03/03 10:59:40 - mmengine - INFO - Epoch(train) [23][3400/5005] lr: 8.8526e-02 eta: 1 day, 15:08:06 time: 0.3491 data_time: 0.0041 loss: 2.0354 03/03 11:00:15 - mmengine - INFO - Epoch(train) [23][3500/5005] lr: 8.8526e-02 eta: 1 day, 15:07:25 time: 0.3601 data_time: 0.0042 loss: 2.3912 03/03 11:00:50 - mmengine - INFO - Epoch(train) [23][3600/5005] lr: 8.8526e-02 eta: 1 day, 15:06:44 time: 0.3395 data_time: 0.0041 loss: 2.1405 03/03 11:01:26 - mmengine - INFO - Epoch(train) [23][3700/5005] lr: 8.8526e-02 eta: 1 day, 15:06:04 time: 0.3627 data_time: 0.0044 loss: 2.2256 03/03 11:02:01 - mmengine - INFO - Epoch(train) [23][3800/5005] lr: 8.8526e-02 eta: 1 day, 15:05:23 time: 0.3436 data_time: 0.0042 loss: 2.0912 03/03 11:02:32 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 11:02:36 - mmengine - INFO - Epoch(train) [23][3900/5005] lr: 8.8526e-02 eta: 1 day, 15:04:41 time: 0.3359 data_time: 0.0042 loss: 2.2450 03/03 11:03:11 - mmengine - INFO - Epoch(train) [23][4000/5005] lr: 8.8526e-02 eta: 1 day, 15:04:01 time: 0.3464 data_time: 0.0049 loss: 2.1685 03/03 11:03:46 - mmengine - INFO - Epoch(train) [23][4100/5005] lr: 8.8526e-02 eta: 1 day, 15:03:20 time: 0.3393 data_time: 0.0041 loss: 2.1836 03/03 11:04:22 - mmengine - INFO - Epoch(train) [23][4200/5005] lr: 8.8526e-02 eta: 1 day, 15:02:40 time: 0.3442 data_time: 0.0044 loss: 2.0218 03/03 11:04:57 - mmengine - INFO - Epoch(train) [23][4300/5005] lr: 8.8526e-02 eta: 1 day, 15:01:59 time: 0.3484 data_time: 0.0041 loss: 2.2635 03/03 11:05:32 - mmengine - INFO - Epoch(train) [23][4400/5005] lr: 8.8526e-02 eta: 1 day, 15:01:18 time: 0.3598 data_time: 0.0042 loss: 2.1184 03/03 11:06:07 - mmengine - INFO - Epoch(train) [23][4500/5005] lr: 8.8526e-02 eta: 1 day, 15:00:37 time: 0.3528 data_time: 0.0042 loss: 1.9033 03/03 11:06:42 - mmengine - INFO - Epoch(train) [23][4600/5005] lr: 8.8526e-02 eta: 1 day, 14:59:56 time: 0.3429 data_time: 0.0041 loss: 2.1636 03/03 11:07:17 - mmengine - INFO - Epoch(train) [23][4700/5005] lr: 8.8526e-02 eta: 1 day, 14:59:15 time: 0.3414 data_time: 0.0043 loss: 2.1503 03/03 11:07:52 - mmengine - INFO - Epoch(train) [23][4800/5005] lr: 8.8526e-02 eta: 1 day, 14:58:34 time: 0.3470 data_time: 0.0043 loss: 1.9841 03/03 11:08:24 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 11:08:29 - mmengine - INFO - Epoch(train) [23][4900/5005] lr: 8.8526e-02 eta: 1 day, 14:57:59 time: 0.4558 data_time: 0.0045 loss: 2.2994 03/03 11:09:13 - mmengine - INFO - Epoch(train) [23][5000/5005] lr: 8.8526e-02 eta: 1 day, 14:57:49 time: 0.4444 data_time: 0.0045 loss: 2.0633 03/03 11:09:15 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 11:09:18 - mmengine - INFO - Saving checkpoint at 23 epochs 03/03 11:09:35 - mmengine - INFO - Epoch(val) [23][100/196] eta: 0:00:14 time: 0.0438 data_time: 0.0002 03/03 11:09:51 - mmengine - INFO - Epoch(val) [23][196/196] accuracy/top1: 55.7100 accuracy/top5: 80.5700 03/03 11:10:35 - mmengine - INFO - Epoch(train) [24][ 100/5005] lr: 8.7506e-02 eta: 1 day, 14:57:37 time: 0.3510 data_time: 0.0042 loss: 1.9857 03/03 11:11:10 - mmengine - INFO - Epoch(train) [24][ 200/5005] lr: 8.7506e-02 eta: 1 day, 14:56:57 time: 0.3443 data_time: 0.0041 loss: 2.0267 03/03 11:11:45 - mmengine - INFO - Epoch(train) [24][ 300/5005] lr: 8.7506e-02 eta: 1 day, 14:56:16 time: 0.3456 data_time: 0.0046 loss: 2.2657 03/03 11:12:21 - mmengine - INFO - Epoch(train) [24][ 400/5005] lr: 8.7506e-02 eta: 1 day, 14:55:36 time: 0.3428 data_time: 0.0042 loss: 1.9642 03/03 11:12:56 - mmengine - INFO - Epoch(train) [24][ 500/5005] lr: 8.7506e-02 eta: 1 day, 14:54:56 time: 0.3587 data_time: 0.0043 loss: 1.9581 03/03 11:13:31 - mmengine - INFO - Epoch(train) [24][ 600/5005] lr: 8.7506e-02 eta: 1 day, 14:54:16 time: 0.3446 data_time: 0.0041 loss: 2.1043 03/03 11:14:07 - mmengine - INFO - Epoch(train) [24][ 700/5005] lr: 8.7506e-02 eta: 1 day, 14:53:37 time: 0.3496 data_time: 0.0040 loss: 2.2993 03/03 11:14:42 - mmengine - INFO - Epoch(train) [24][ 800/5005] lr: 8.7506e-02 eta: 1 day, 14:52:56 time: 0.3478 data_time: 0.0044 loss: 1.9627 03/03 11:15:12 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 11:15:18 - mmengine - INFO - Epoch(train) [24][ 900/5005] lr: 8.7506e-02 eta: 1 day, 14:52:16 time: 0.3500 data_time: 0.0042 loss: 1.8414 03/03 11:15:53 - mmengine - INFO - Epoch(train) [24][1000/5005] lr: 8.7506e-02 eta: 1 day, 14:51:36 time: 0.3602 data_time: 0.0041 loss: 2.2056 03/03 11:16:28 - mmengine - INFO - Epoch(train) [24][1100/5005] lr: 8.7506e-02 eta: 1 day, 14:50:56 time: 0.3575 data_time: 0.0041 loss: 2.2017 03/03 11:17:04 - mmengine - INFO - Epoch(train) [24][1200/5005] lr: 8.7506e-02 eta: 1 day, 14:50:17 time: 0.3517 data_time: 0.0045 loss: 2.2679 03/03 11:17:39 - mmengine - INFO - Epoch(train) [24][1300/5005] lr: 8.7506e-02 eta: 1 day, 14:49:37 time: 0.3674 data_time: 0.0040 loss: 2.3698 03/03 11:18:14 - mmengine - INFO - Epoch(train) [24][1400/5005] lr: 8.7506e-02 eta: 1 day, 14:48:56 time: 0.3459 data_time: 0.0041 loss: 2.1101 03/03 11:18:49 - mmengine - INFO - Epoch(train) [24][1500/5005] lr: 8.7506e-02 eta: 1 day, 14:48:15 time: 0.3441 data_time: 0.0040 loss: 2.1389 03/03 11:19:24 - mmengine - INFO - Epoch(train) [24][1600/5005] lr: 8.7506e-02 eta: 1 day, 14:47:34 time: 0.3454 data_time: 0.0044 loss: 2.2087 03/03 11:19:59 - mmengine - INFO - Epoch(train) [24][1700/5005] lr: 8.7506e-02 eta: 1 day, 14:46:54 time: 0.3610 data_time: 0.0042 loss: 2.2121 03/03 11:20:35 - mmengine - INFO - Epoch(train) [24][1800/5005] lr: 8.7506e-02 eta: 1 day, 14:46:14 time: 0.3442 data_time: 0.0040 loss: 2.0237 03/03 11:21:05 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 11:21:10 - mmengine - INFO - Epoch(train) [24][1900/5005] lr: 8.7506e-02 eta: 1 day, 14:45:34 time: 0.3538 data_time: 0.0043 loss: 2.0229 03/03 11:21:46 - mmengine - INFO - Epoch(train) [24][2000/5005] lr: 8.7506e-02 eta: 1 day, 14:44:54 time: 0.3378 data_time: 0.0044 loss: 2.1136 03/03 11:22:21 - mmengine - INFO - Epoch(train) [24][2100/5005] lr: 8.7506e-02 eta: 1 day, 14:44:15 time: 0.3744 data_time: 0.0042 loss: 2.0365 03/03 11:22:56 - mmengine - INFO - Epoch(train) [24][2200/5005] lr: 8.7506e-02 eta: 1 day, 14:43:35 time: 0.3463 data_time: 0.0042 loss: 1.9837 03/03 11:23:32 - mmengine - INFO - Epoch(train) [24][2300/5005] lr: 8.7506e-02 eta: 1 day, 14:42:55 time: 0.3775 data_time: 0.0040 loss: 1.9555 03/03 11:24:07 - mmengine - INFO - Epoch(train) [24][2400/5005] lr: 8.7506e-02 eta: 1 day, 14:42:14 time: 0.3391 data_time: 0.0041 loss: 2.4706 03/03 11:24:42 - mmengine - INFO - Epoch(train) [24][2500/5005] lr: 8.7506e-02 eta: 1 day, 14:41:34 time: 0.3705 data_time: 0.0041 loss: 2.1865 03/03 11:25:18 - mmengine - INFO - Epoch(train) [24][2600/5005] lr: 8.7506e-02 eta: 1 day, 14:40:55 time: 0.3468 data_time: 0.0042 loss: 2.0274 03/03 11:25:53 - mmengine - INFO - Epoch(train) [24][2700/5005] lr: 8.7506e-02 eta: 1 day, 14:40:13 time: 0.3575 data_time: 0.0041 loss: 2.1635 03/03 11:26:28 - mmengine - INFO - Epoch(train) [24][2800/5005] lr: 8.7506e-02 eta: 1 day, 14:39:34 time: 0.3456 data_time: 0.0043 loss: 2.2182 03/03 11:26:58 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 11:27:03 - mmengine - INFO - Epoch(train) [24][2900/5005] lr: 8.7506e-02 eta: 1 day, 14:38:53 time: 0.3764 data_time: 0.0039 loss: 2.0703 03/03 11:27:38 - mmengine - INFO - Epoch(train) [24][3000/5005] lr: 8.7506e-02 eta: 1 day, 14:38:12 time: 0.3514 data_time: 0.0039 loss: 2.4315 03/03 11:28:14 - mmengine - INFO - Epoch(train) [24][3100/5005] lr: 8.7506e-02 eta: 1 day, 14:37:33 time: 0.3619 data_time: 0.0043 loss: 2.0572 03/03 11:28:49 - mmengine - INFO - Epoch(train) [24][3200/5005] lr: 8.7506e-02 eta: 1 day, 14:36:52 time: 0.3495 data_time: 0.0039 loss: 2.1060 03/03 11:29:24 - mmengine - INFO - Epoch(train) [24][3300/5005] lr: 8.7506e-02 eta: 1 day, 14:36:13 time: 0.3493 data_time: 0.0044 loss: 1.9769 03/03 11:29:59 - mmengine - INFO - Epoch(train) [24][3400/5005] lr: 8.7506e-02 eta: 1 day, 14:35:33 time: 0.3780 data_time: 0.0039 loss: 2.0143 03/03 11:30:34 - mmengine - INFO - Epoch(train) [24][3500/5005] lr: 8.7506e-02 eta: 1 day, 14:34:50 time: 0.3439 data_time: 0.0041 loss: 2.2553 03/03 11:31:09 - mmengine - INFO - Epoch(train) [24][3600/5005] lr: 8.7506e-02 eta: 1 day, 14:34:11 time: 0.3561 data_time: 0.0042 loss: 1.7956 03/03 11:31:44 - mmengine - INFO - Epoch(train) [24][3700/5005] lr: 8.7506e-02 eta: 1 day, 14:33:30 time: 0.3374 data_time: 0.0044 loss: 2.1835 03/03 11:32:19 - mmengine - INFO - Epoch(train) [24][3800/5005] lr: 8.7506e-02 eta: 1 day, 14:32:49 time: 0.3452 data_time: 0.0040 loss: 2.2581 03/03 11:32:49 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 11:32:55 - mmengine - INFO - Epoch(train) [24][3900/5005] lr: 8.7506e-02 eta: 1 day, 14:32:09 time: 0.3546 data_time: 0.0042 loss: 2.1545 03/03 11:33:29 - mmengine - INFO - Epoch(train) [24][4000/5005] lr: 8.7506e-02 eta: 1 day, 14:31:28 time: 0.3628 data_time: 0.0041 loss: 2.1583 03/03 11:34:05 - mmengine - INFO - Epoch(train) [24][4100/5005] lr: 8.7506e-02 eta: 1 day, 14:30:48 time: 0.3728 data_time: 0.0041 loss: 2.0758 03/03 11:34:40 - mmengine - INFO - Epoch(train) [24][4200/5005] lr: 8.7506e-02 eta: 1 day, 14:30:09 time: 0.3741 data_time: 0.0041 loss: 2.3166 03/03 11:35:15 - mmengine - INFO - Epoch(train) [24][4300/5005] lr: 8.7506e-02 eta: 1 day, 14:29:28 time: 0.3473 data_time: 0.0043 loss: 2.0581 03/03 11:35:51 - mmengine - INFO - Epoch(train) [24][4400/5005] lr: 8.7506e-02 eta: 1 day, 14:28:49 time: 0.3446 data_time: 0.0041 loss: 2.0675 03/03 11:36:26 - mmengine - INFO - Epoch(train) [24][4500/5005] lr: 8.7506e-02 eta: 1 day, 14:28:08 time: 0.3481 data_time: 0.0041 loss: 2.2699 03/03 11:37:01 - mmengine - INFO - Epoch(train) [24][4600/5005] lr: 8.7506e-02 eta: 1 day, 14:27:28 time: 0.3489 data_time: 0.0041 loss: 2.2221 03/03 11:37:36 - mmengine - INFO - Epoch(train) [24][4700/5005] lr: 8.7506e-02 eta: 1 day, 14:26:47 time: 0.3375 data_time: 0.0043 loss: 2.2033 03/03 11:38:11 - mmengine - INFO - Epoch(train) [24][4800/5005] lr: 8.7506e-02 eta: 1 day, 14:26:06 time: 0.3383 data_time: 0.0043 loss: 1.9864 03/03 11:38:41 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 11:38:48 - mmengine - INFO - Epoch(train) [24][4900/5005] lr: 8.7506e-02 eta: 1 day, 14:25:31 time: 0.4453 data_time: 0.0044 loss: 2.2652 03/03 11:39:30 - mmengine - INFO - Epoch(train) [24][5000/5005] lr: 8.7506e-02 eta: 1 day, 14:25:13 time: 0.4236 data_time: 0.0052 loss: 2.0331 03/03 11:39:32 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 11:39:35 - mmengine - INFO - Saving checkpoint at 24 epochs 03/03 11:39:52 - mmengine - INFO - Epoch(val) [24][100/196] eta: 0:00:14 time: 0.0509 data_time: 0.0003 03/03 11:40:09 - mmengine - INFO - Epoch(val) [24][196/196] accuracy/top1: 57.0000 accuracy/top5: 81.4580 03/03 11:40:52 - mmengine - INFO - Epoch(train) [25][ 100/5005] lr: 8.6448e-02 eta: 1 day, 14:24:59 time: 0.3508 data_time: 0.0043 loss: 2.1420 03/03 11:41:28 - mmengine - INFO - Epoch(train) [25][ 200/5005] lr: 8.6448e-02 eta: 1 day, 14:24:20 time: 0.3376 data_time: 0.0046 loss: 2.1600 03/03 11:42:03 - mmengine - INFO - Epoch(train) [25][ 300/5005] lr: 8.6448e-02 eta: 1 day, 14:23:41 time: 0.3550 data_time: 0.0045 loss: 1.9437 03/03 11:42:39 - mmengine - INFO - Epoch(train) [25][ 400/5005] lr: 8.6448e-02 eta: 1 day, 14:23:03 time: 0.3651 data_time: 0.0041 loss: 2.0169 03/03 11:43:14 - mmengine - INFO - Epoch(train) [25][ 500/5005] lr: 8.6448e-02 eta: 1 day, 14:22:23 time: 0.3450 data_time: 0.0045 loss: 2.0987 03/03 11:43:49 - mmengine - INFO - Epoch(train) [25][ 600/5005] lr: 8.6448e-02 eta: 1 day, 14:21:42 time: 0.3478 data_time: 0.0044 loss: 2.4255 03/03 11:44:25 - mmengine - INFO - Epoch(train) [25][ 700/5005] lr: 8.6448e-02 eta: 1 day, 14:21:03 time: 0.3450 data_time: 0.0044 loss: 2.2406 03/03 11:45:00 - mmengine - INFO - Epoch(train) [25][ 800/5005] lr: 8.6448e-02 eta: 1 day, 14:20:23 time: 0.3563 data_time: 0.0042 loss: 2.1012 03/03 11:45:28 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 11:45:35 - mmengine - INFO - Epoch(train) [25][ 900/5005] lr: 8.6448e-02 eta: 1 day, 14:19:43 time: 0.3495 data_time: 0.0042 loss: 2.2519 03/03 11:46:11 - mmengine - INFO - Epoch(train) [25][1000/5005] lr: 8.6448e-02 eta: 1 day, 14:19:03 time: 0.3352 data_time: 0.0041 loss: 2.1936 03/03 11:46:46 - mmengine - INFO - Epoch(train) [25][1100/5005] lr: 8.6448e-02 eta: 1 day, 14:18:23 time: 0.3588 data_time: 0.0044 loss: 2.0693 03/03 11:47:21 - mmengine - INFO - Epoch(train) [25][1200/5005] lr: 8.6448e-02 eta: 1 day, 14:17:43 time: 0.3377 data_time: 0.0042 loss: 2.1131 03/03 11:47:57 - mmengine - INFO - Epoch(train) [25][1300/5005] lr: 8.6448e-02 eta: 1 day, 14:17:04 time: 0.3655 data_time: 0.0042 loss: 2.1605 03/03 11:48:32 - mmengine - INFO - Epoch(train) [25][1400/5005] lr: 8.6448e-02 eta: 1 day, 14:16:22 time: 0.3435 data_time: 0.0043 loss: 2.1761 03/03 11:49:07 - mmengine - INFO - Epoch(train) [25][1500/5005] lr: 8.6448e-02 eta: 1 day, 14:15:43 time: 0.3419 data_time: 0.0044 loss: 2.1395 03/03 11:49:42 - mmengine - INFO - Epoch(train) [25][1600/5005] lr: 8.6448e-02 eta: 1 day, 14:15:02 time: 0.3440 data_time: 0.0045 loss: 2.0568 03/03 11:50:17 - mmengine - INFO - Epoch(train) [25][1700/5005] lr: 8.6448e-02 eta: 1 day, 14:14:23 time: 0.3451 data_time: 0.0041 loss: 2.1074 03/03 11:50:52 - mmengine - INFO - Epoch(train) [25][1800/5005] lr: 8.6448e-02 eta: 1 day, 14:13:43 time: 0.3417 data_time: 0.0041 loss: 2.1545 03/03 11:51:20 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 11:51:28 - mmengine - INFO - Epoch(train) [25][1900/5005] lr: 8.6448e-02 eta: 1 day, 14:13:03 time: 0.3632 data_time: 0.0044 loss: 2.0172 03/03 11:52:03 - mmengine - INFO - Epoch(train) [25][2000/5005] lr: 8.6448e-02 eta: 1 day, 14:12:23 time: 0.3644 data_time: 0.0043 loss: 1.9738 03/03 11:52:38 - mmengine - INFO - Epoch(train) [25][2100/5005] lr: 8.6448e-02 eta: 1 day, 14:11:43 time: 0.3472 data_time: 0.0041 loss: 2.1507 03/03 11:53:14 - mmengine - INFO - Epoch(train) [25][2200/5005] lr: 8.6448e-02 eta: 1 day, 14:11:03 time: 0.3399 data_time: 0.0045 loss: 2.0883 03/03 11:53:49 - mmengine - INFO - Epoch(train) [25][2300/5005] lr: 8.6448e-02 eta: 1 day, 14:10:24 time: 0.3427 data_time: 0.0040 loss: 2.0231 03/03 11:54:24 - mmengine - INFO - Epoch(train) [25][2400/5005] lr: 8.6448e-02 eta: 1 day, 14:09:44 time: 0.3393 data_time: 0.0041 loss: 2.2201 03/03 11:54:59 - mmengine - INFO - Epoch(train) [25][2500/5005] lr: 8.6448e-02 eta: 1 day, 14:09:04 time: 0.3564 data_time: 0.0043 loss: 2.0920 03/03 11:55:35 - mmengine - INFO - Epoch(train) [25][2600/5005] lr: 8.6448e-02 eta: 1 day, 14:08:24 time: 0.3479 data_time: 0.0045 loss: 2.0790 03/03 11:56:10 - mmengine - INFO - Epoch(train) [25][2700/5005] lr: 8.6448e-02 eta: 1 day, 14:07:45 time: 0.3638 data_time: 0.0041 loss: 2.3272 03/03 11:56:45 - mmengine - INFO - Epoch(train) [25][2800/5005] lr: 8.6448e-02 eta: 1 day, 14:07:05 time: 0.3392 data_time: 0.0044 loss: 2.3150 03/03 11:57:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 11:57:20 - mmengine - INFO - Epoch(train) [25][2900/5005] lr: 8.6448e-02 eta: 1 day, 14:06:25 time: 0.3737 data_time: 0.0041 loss: 2.2715 03/03 11:57:56 - mmengine - INFO - Epoch(train) [25][3000/5005] lr: 8.6448e-02 eta: 1 day, 14:05:45 time: 0.3489 data_time: 0.0043 loss: 1.9509 03/03 11:58:31 - mmengine - INFO - Epoch(train) [25][3100/5005] lr: 8.6448e-02 eta: 1 day, 14:05:07 time: 0.3648 data_time: 0.0044 loss: 2.0638 03/03 11:59:06 - mmengine - INFO - Epoch(train) [25][3200/5005] lr: 8.6448e-02 eta: 1 day, 14:04:24 time: 0.3404 data_time: 0.0042 loss: 2.0691 03/03 11:59:41 - mmengine - INFO - Epoch(train) [25][3300/5005] lr: 8.6448e-02 eta: 1 day, 14:03:45 time: 0.3465 data_time: 0.0042 loss: 1.8255 03/03 12:00:16 - mmengine - INFO - Epoch(train) [25][3400/5005] lr: 8.6448e-02 eta: 1 day, 14:03:05 time: 0.3538 data_time: 0.0042 loss: 2.1372 03/03 12:00:52 - mmengine - INFO - Epoch(train) [25][3500/5005] lr: 8.6448e-02 eta: 1 day, 14:02:25 time: 0.3569 data_time: 0.0041 loss: 2.3703 03/03 12:01:27 - mmengine - INFO - Epoch(train) [25][3600/5005] lr: 8.6448e-02 eta: 1 day, 14:01:45 time: 0.3464 data_time: 0.0042 loss: 2.1301 03/03 12:02:02 - mmengine - INFO - Epoch(train) [25][3700/5005] lr: 8.6448e-02 eta: 1 day, 14:01:05 time: 0.3549 data_time: 0.0041 loss: 2.0878 03/03 12:02:37 - mmengine - INFO - Epoch(train) [25][3800/5005] lr: 8.6448e-02 eta: 1 day, 14:00:24 time: 0.3537 data_time: 0.0041 loss: 2.0884 03/03 12:03:05 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 12:03:12 - mmengine - INFO - Epoch(train) [25][3900/5005] lr: 8.6448e-02 eta: 1 day, 13:59:45 time: 0.3534 data_time: 0.0046 loss: 2.0507 03/03 12:03:47 - mmengine - INFO - Epoch(train) [25][4000/5005] lr: 8.6448e-02 eta: 1 day, 13:59:04 time: 0.3395 data_time: 0.0044 loss: 1.9856 03/03 12:04:23 - mmengine - INFO - Epoch(train) [25][4100/5005] lr: 8.6448e-02 eta: 1 day, 13:58:25 time: 0.3458 data_time: 0.0042 loss: 2.2366 03/03 12:04:58 - mmengine - INFO - Epoch(train) [25][4200/5005] lr: 8.6448e-02 eta: 1 day, 13:57:45 time: 0.3750 data_time: 0.0040 loss: 2.1065 03/03 12:05:33 - mmengine - INFO - Epoch(train) [25][4300/5005] lr: 8.6448e-02 eta: 1 day, 13:57:05 time: 0.3402 data_time: 0.0041 loss: 2.0611 03/03 12:06:08 - mmengine - INFO - Epoch(train) [25][4400/5005] lr: 8.6448e-02 eta: 1 day, 13:56:24 time: 0.3406 data_time: 0.0044 loss: 2.0278 03/03 12:06:43 - mmengine - INFO - Epoch(train) [25][4500/5005] lr: 8.6448e-02 eta: 1 day, 13:55:44 time: 0.3478 data_time: 0.0043 loss: 2.0696 03/03 12:07:19 - mmengine - INFO - Epoch(train) [25][4600/5005] lr: 8.6448e-02 eta: 1 day, 13:55:05 time: 0.3570 data_time: 0.0044 loss: 2.2251 03/03 12:07:54 - mmengine - INFO - Epoch(train) [25][4700/5005] lr: 8.6448e-02 eta: 1 day, 13:54:25 time: 0.3446 data_time: 0.0042 loss: 2.0334 03/03 12:08:29 - mmengine - INFO - Epoch(train) [25][4800/5005] lr: 8.6448e-02 eta: 1 day, 13:53:45 time: 0.3448 data_time: 0.0044 loss: 2.2165 03/03 12:08:57 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 12:09:05 - mmengine - INFO - Epoch(train) [25][4900/5005] lr: 8.6448e-02 eta: 1 day, 13:53:09 time: 0.3809 data_time: 0.0050 loss: 2.2789 03/03 12:09:46 - mmengine - INFO - Epoch(train) [25][5000/5005] lr: 8.6448e-02 eta: 1 day, 13:52:45 time: 0.3724 data_time: 0.0044 loss: 2.0328 03/03 12:09:47 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 12:09:50 - mmengine - INFO - Saving checkpoint at 25 epochs 03/03 12:10:07 - mmengine - INFO - Epoch(val) [25][100/196] eta: 0:00:14 time: 0.0424 data_time: 0.0003 03/03 12:10:23 - mmengine - INFO - Epoch(val) [25][196/196] accuracy/top1: 56.8500 accuracy/top5: 81.2760 03/03 12:11:07 - mmengine - INFO - Epoch(train) [26][ 100/5005] lr: 8.5355e-02 eta: 1 day, 13:52:28 time: 0.3388 data_time: 0.0042 loss: 1.8637 03/03 12:11:42 - mmengine - INFO - Epoch(train) [26][ 200/5005] lr: 8.5355e-02 eta: 1 day, 13:51:49 time: 0.3395 data_time: 0.0040 loss: 2.2067 03/03 12:12:17 - mmengine - INFO - Epoch(train) [26][ 300/5005] lr: 8.5355e-02 eta: 1 day, 13:51:08 time: 0.3422 data_time: 0.0045 loss: 2.0048 03/03 12:12:53 - mmengine - INFO - Epoch(train) [26][ 400/5005] lr: 8.5355e-02 eta: 1 day, 13:50:30 time: 0.3656 data_time: 0.0042 loss: 1.8777 03/03 12:13:29 - mmengine - INFO - Epoch(train) [26][ 500/5005] lr: 8.5355e-02 eta: 1 day, 13:49:51 time: 0.3684 data_time: 0.0042 loss: 1.8532 03/03 12:14:04 - mmengine - INFO - Epoch(train) [26][ 600/5005] lr: 8.5355e-02 eta: 1 day, 13:49:11 time: 0.3610 data_time: 0.0040 loss: 1.7823 03/03 12:14:39 - mmengine - INFO - Epoch(train) [26][ 700/5005] lr: 8.5355e-02 eta: 1 day, 13:48:31 time: 0.3555 data_time: 0.0043 loss: 2.1583 03/03 12:15:14 - mmengine - INFO - Epoch(train) [26][ 800/5005] lr: 8.5355e-02 eta: 1 day, 13:47:52 time: 0.3644 data_time: 0.0041 loss: 2.0307 03/03 12:15:41 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 12:15:50 - mmengine - INFO - Epoch(train) [26][ 900/5005] lr: 8.5355e-02 eta: 1 day, 13:47:12 time: 0.3491 data_time: 0.0045 loss: 2.0743 03/03 12:16:25 - mmengine - INFO - Epoch(train) [26][1000/5005] lr: 8.5355e-02 eta: 1 day, 13:46:33 time: 0.3539 data_time: 0.0040 loss: 2.2368 03/03 12:17:00 - mmengine - INFO - Epoch(train) [26][1100/5005] lr: 8.5355e-02 eta: 1 day, 13:45:52 time: 0.3386 data_time: 0.0042 loss: 2.1613 03/03 12:17:35 - mmengine - INFO - Epoch(train) [26][1200/5005] lr: 8.5355e-02 eta: 1 day, 13:45:14 time: 0.3571 data_time: 0.0043 loss: 2.1418 03/03 12:18:10 - mmengine - INFO - Epoch(train) [26][1300/5005] lr: 8.5355e-02 eta: 1 day, 13:44:33 time: 0.3464 data_time: 0.0044 loss: 2.3472 03/03 12:18:46 - mmengine - INFO - Epoch(train) [26][1400/5005] lr: 8.5355e-02 eta: 1 day, 13:43:54 time: 0.3488 data_time: 0.0041 loss: 2.0281 03/03 12:19:21 - mmengine - INFO - Epoch(train) [26][1500/5005] lr: 8.5355e-02 eta: 1 day, 13:43:15 time: 0.3421 data_time: 0.0040 loss: 2.2935 03/03 12:19:56 - mmengine - INFO - Epoch(train) [26][1600/5005] lr: 8.5355e-02 eta: 1 day, 13:42:35 time: 0.3618 data_time: 0.0041 loss: 2.0502 03/03 12:20:32 - mmengine - INFO - Epoch(train) [26][1700/5005] lr: 8.5355e-02 eta: 1 day, 13:41:56 time: 0.3584 data_time: 0.0042 loss: 2.0476 03/03 12:21:07 - mmengine - INFO - Epoch(train) [26][1800/5005] lr: 8.5355e-02 eta: 1 day, 13:41:16 time: 0.3554 data_time: 0.0041 loss: 2.0294 03/03 12:21:33 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 12:21:42 - mmengine - INFO - Epoch(train) [26][1900/5005] lr: 8.5355e-02 eta: 1 day, 13:40:36 time: 0.3450 data_time: 0.0042 loss: 2.1730 03/03 12:22:17 - mmengine - INFO - Epoch(train) [26][2000/5005] lr: 8.5355e-02 eta: 1 day, 13:39:57 time: 0.3452 data_time: 0.0041 loss: 2.0453 03/03 12:22:52 - mmengine - INFO - Epoch(train) [26][2100/5005] lr: 8.5355e-02 eta: 1 day, 13:39:16 time: 0.3454 data_time: 0.0043 loss: 2.2120 03/03 12:23:27 - mmengine - INFO - Epoch(train) [26][2200/5005] lr: 8.5355e-02 eta: 1 day, 13:38:36 time: 0.3568 data_time: 0.0042 loss: 2.1677 03/03 12:24:03 - mmengine - INFO - Epoch(train) [26][2300/5005] lr: 8.5355e-02 eta: 1 day, 13:37:57 time: 0.3488 data_time: 0.0040 loss: 2.1380 03/03 12:24:38 - mmengine - INFO - Epoch(train) [26][2400/5005] lr: 8.5355e-02 eta: 1 day, 13:37:17 time: 0.3415 data_time: 0.0042 loss: 2.1956 03/03 12:25:13 - mmengine - INFO - Epoch(train) [26][2500/5005] lr: 8.5355e-02 eta: 1 day, 13:36:38 time: 0.3502 data_time: 0.0041 loss: 2.1682 03/03 12:25:48 - mmengine - INFO - Epoch(train) [26][2600/5005] lr: 8.5355e-02 eta: 1 day, 13:35:58 time: 0.3623 data_time: 0.0045 loss: 2.3836 03/03 12:26:23 - mmengine - INFO - Epoch(train) [26][2700/5005] lr: 8.5355e-02 eta: 1 day, 13:35:18 time: 0.3361 data_time: 0.0044 loss: 2.0627 03/03 12:26:59 - mmengine - INFO - Epoch(train) [26][2800/5005] lr: 8.5355e-02 eta: 1 day, 13:34:39 time: 0.3458 data_time: 0.0041 loss: 2.2505 03/03 12:27:25 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 12:27:34 - mmengine - INFO - Epoch(train) [26][2900/5005] lr: 8.5355e-02 eta: 1 day, 13:33:59 time: 0.3551 data_time: 0.0043 loss: 2.0582 03/03 12:28:09 - mmengine - INFO - Epoch(train) [26][3000/5005] lr: 8.5355e-02 eta: 1 day, 13:33:19 time: 0.3446 data_time: 0.0041 loss: 2.1954 03/03 12:28:44 - mmengine - INFO - Epoch(train) [26][3100/5005] lr: 8.5355e-02 eta: 1 day, 13:32:39 time: 0.3671 data_time: 0.0042 loss: 2.3376 03/03 12:29:19 - mmengine - INFO - Epoch(train) [26][3200/5005] lr: 8.5355e-02 eta: 1 day, 13:31:59 time: 0.3558 data_time: 0.0042 loss: 2.0491 03/03 12:29:55 - mmengine - INFO - Epoch(train) [26][3300/5005] lr: 8.5355e-02 eta: 1 day, 13:31:21 time: 0.3400 data_time: 0.0042 loss: 1.9922 03/03 12:30:30 - mmengine - INFO - Epoch(train) [26][3400/5005] lr: 8.5355e-02 eta: 1 day, 13:30:41 time: 0.3756 data_time: 0.0043 loss: 2.0100 03/03 12:31:05 - mmengine - INFO - Epoch(train) [26][3500/5005] lr: 8.5355e-02 eta: 1 day, 13:30:01 time: 0.3421 data_time: 0.0041 loss: 2.0378 03/03 12:31:40 - mmengine - INFO - Epoch(train) [26][3600/5005] lr: 8.5355e-02 eta: 1 day, 13:29:21 time: 0.3654 data_time: 0.0041 loss: 2.0662 03/03 12:32:15 - mmengine - INFO - Epoch(train) [26][3700/5005] lr: 8.5355e-02 eta: 1 day, 13:28:40 time: 0.3573 data_time: 0.0043 loss: 2.4301 03/03 12:32:50 - mmengine - INFO - Epoch(train) [26][3800/5005] lr: 8.5355e-02 eta: 1 day, 13:28:01 time: 0.3692 data_time: 0.0042 loss: 2.0598 03/03 12:33:17 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 12:33:26 - mmengine - INFO - Epoch(train) [26][3900/5005] lr: 8.5355e-02 eta: 1 day, 13:27:22 time: 0.3474 data_time: 0.0041 loss: 2.1146 03/03 12:34:01 - mmengine - INFO - Epoch(train) [26][4000/5005] lr: 8.5355e-02 eta: 1 day, 13:26:43 time: 0.3427 data_time: 0.0040 loss: 2.1858 03/03 12:34:37 - mmengine - INFO - Epoch(train) [26][4100/5005] lr: 8.5355e-02 eta: 1 day, 13:26:04 time: 0.3476 data_time: 0.0041 loss: 2.0740 03/03 12:35:12 - mmengine - INFO - Epoch(train) [26][4200/5005] lr: 8.5355e-02 eta: 1 day, 13:25:25 time: 0.3446 data_time: 0.0045 loss: 2.3309 03/03 12:35:47 - mmengine - INFO - Epoch(train) [26][4300/5005] lr: 8.5355e-02 eta: 1 day, 13:24:46 time: 0.3495 data_time: 0.0043 loss: 2.1405 03/03 12:36:23 - mmengine - INFO - Epoch(train) [26][4400/5005] lr: 8.5355e-02 eta: 1 day, 13:24:08 time: 0.3475 data_time: 0.0045 loss: 2.2308 03/03 12:36:58 - mmengine - INFO - Epoch(train) [26][4500/5005] lr: 8.5355e-02 eta: 1 day, 13:23:28 time: 0.3585 data_time: 0.0043 loss: 2.1797 03/03 12:37:34 - mmengine - INFO - Epoch(train) [26][4600/5005] lr: 8.5355e-02 eta: 1 day, 13:22:49 time: 0.3568 data_time: 0.0041 loss: 1.9807 03/03 12:38:09 - mmengine - INFO - Epoch(train) [26][4700/5005] lr: 8.5355e-02 eta: 1 day, 13:22:10 time: 0.3395 data_time: 0.0043 loss: 2.4108 03/03 12:38:44 - mmengine - INFO - Epoch(train) [26][4800/5005] lr: 8.5355e-02 eta: 1 day, 13:21:30 time: 0.3446 data_time: 0.0040 loss: 2.0981 03/03 12:39:10 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 12:39:20 - mmengine - INFO - Epoch(train) [26][4900/5005] lr: 8.5355e-02 eta: 1 day, 13:20:54 time: 0.4500 data_time: 0.0051 loss: 2.0071 03/03 12:40:03 - mmengine - INFO - Epoch(train) [26][5000/5005] lr: 8.5355e-02 eta: 1 day, 13:20:36 time: 0.4579 data_time: 0.0044 loss: 2.3929 03/03 12:40:05 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 12:40:08 - mmengine - INFO - Saving checkpoint at 26 epochs 03/03 12:40:25 - mmengine - INFO - Epoch(val) [26][100/196] eta: 0:00:14 time: 0.0415 data_time: 0.0003 03/03 12:40:41 - mmengine - INFO - Epoch(val) [26][196/196] accuracy/top1: 57.5200 accuracy/top5: 81.8640 03/03 12:41:25 - mmengine - INFO - Epoch(train) [27][ 100/5005] lr: 8.4227e-02 eta: 1 day, 13:20:19 time: 0.3480 data_time: 0.0044 loss: 2.0018 03/03 12:42:01 - mmengine - INFO - Epoch(train) [27][ 200/5005] lr: 8.4227e-02 eta: 1 day, 13:19:41 time: 0.3570 data_time: 0.0045 loss: 2.0315 03/03 12:42:36 - mmengine - INFO - Epoch(train) [27][ 300/5005] lr: 8.4227e-02 eta: 1 day, 13:19:03 time: 0.3481 data_time: 0.0041 loss: 1.9385 03/03 12:43:12 - mmengine - INFO - Epoch(train) [27][ 400/5005] lr: 8.4227e-02 eta: 1 day, 13:18:23 time: 0.3440 data_time: 0.0044 loss: 2.0552 03/03 12:43:47 - mmengine - INFO - Epoch(train) [27][ 500/5005] lr: 8.4227e-02 eta: 1 day, 13:17:44 time: 0.3682 data_time: 0.0041 loss: 2.0457 03/03 12:44:23 - mmengine - INFO - Epoch(train) [27][ 600/5005] lr: 8.4227e-02 eta: 1 day, 13:17:06 time: 0.3480 data_time: 0.0040 loss: 2.2274 03/03 12:44:58 - mmengine - INFO - Epoch(train) [27][ 700/5005] lr: 8.4227e-02 eta: 1 day, 13:16:27 time: 0.3404 data_time: 0.0044 loss: 2.0951 03/03 12:45:33 - mmengine - INFO - Epoch(train) [27][ 800/5005] lr: 8.4227e-02 eta: 1 day, 13:15:47 time: 0.3407 data_time: 0.0044 loss: 2.2409 03/03 12:45:58 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 12:46:09 - mmengine - INFO - Epoch(train) [27][ 900/5005] lr: 8.4227e-02 eta: 1 day, 13:15:08 time: 0.3421 data_time: 0.0043 loss: 1.7360 03/03 12:46:45 - mmengine - INFO - Epoch(train) [27][1000/5005] lr: 8.4227e-02 eta: 1 day, 13:14:31 time: 0.3846 data_time: 0.0043 loss: 2.1199 03/03 12:47:20 - mmengine - INFO - Epoch(train) [27][1100/5005] lr: 8.4227e-02 eta: 1 day, 13:13:51 time: 0.3400 data_time: 0.0042 loss: 2.1431 03/03 12:47:55 - mmengine - INFO - Epoch(train) [27][1200/5005] lr: 8.4227e-02 eta: 1 day, 13:13:13 time: 0.3566 data_time: 0.0042 loss: 1.9601 03/03 12:48:30 - mmengine - INFO - Epoch(train) [27][1300/5005] lr: 8.4227e-02 eta: 1 day, 13:12:32 time: 0.3384 data_time: 0.0046 loss: 2.0532 03/03 12:49:06 - mmengine - INFO - Epoch(train) [27][1400/5005] lr: 8.4227e-02 eta: 1 day, 13:11:55 time: 0.3701 data_time: 0.0041 loss: 1.9807 03/03 12:49:41 - mmengine - INFO - Epoch(train) [27][1500/5005] lr: 8.4227e-02 eta: 1 day, 13:11:16 time: 0.3685 data_time: 0.0043 loss: 2.1555 03/03 12:50:16 - mmengine - INFO - Epoch(train) [27][1600/5005] lr: 8.4227e-02 eta: 1 day, 13:10:36 time: 0.3491 data_time: 0.0043 loss: 2.3266 03/03 12:50:52 - mmengine - INFO - Epoch(train) [27][1700/5005] lr: 8.4227e-02 eta: 1 day, 13:09:56 time: 0.3395 data_time: 0.0041 loss: 2.1233 03/03 12:51:27 - mmengine - INFO - Epoch(train) [27][1800/5005] lr: 8.4227e-02 eta: 1 day, 13:09:17 time: 0.3735 data_time: 0.0043 loss: 1.9520 03/03 12:51:51 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 12:52:02 - mmengine - INFO - Epoch(train) [27][1900/5005] lr: 8.4227e-02 eta: 1 day, 13:08:37 time: 0.3434 data_time: 0.0043 loss: 1.8738 03/03 12:52:37 - mmengine - INFO - Epoch(train) [27][2000/5005] lr: 8.4227e-02 eta: 1 day, 13:07:57 time: 0.3622 data_time: 0.0043 loss: 2.3605 03/03 12:53:12 - mmengine - INFO - Epoch(train) [27][2100/5005] lr: 8.4227e-02 eta: 1 day, 13:07:18 time: 0.3664 data_time: 0.0041 loss: 2.3182 03/03 12:53:48 - mmengine - INFO - Epoch(train) [27][2200/5005] lr: 8.4227e-02 eta: 1 day, 13:06:39 time: 0.3672 data_time: 0.0041 loss: 2.0902 03/03 12:54:23 - mmengine - INFO - Epoch(train) [27][2300/5005] lr: 8.4227e-02 eta: 1 day, 13:05:59 time: 0.3403 data_time: 0.0041 loss: 2.1558 03/03 12:54:57 - mmengine - INFO - Epoch(train) [27][2400/5005] lr: 8.4227e-02 eta: 1 day, 13:05:19 time: 0.3388 data_time: 0.0042 loss: 2.3144 03/03 12:55:33 - mmengine - INFO - Epoch(train) [27][2500/5005] lr: 8.4227e-02 eta: 1 day, 13:04:40 time: 0.3658 data_time: 0.0043 loss: 1.8969 03/03 12:56:08 - mmengine - INFO - Epoch(train) [27][2600/5005] lr: 8.4227e-02 eta: 1 day, 13:03:59 time: 0.3513 data_time: 0.0042 loss: 2.0821 03/03 12:56:43 - mmengine - INFO - Epoch(train) [27][2700/5005] lr: 8.4227e-02 eta: 1 day, 13:03:20 time: 0.3459 data_time: 0.0045 loss: 2.0560 03/03 12:57:18 - mmengine - INFO - Epoch(train) [27][2800/5005] lr: 8.4227e-02 eta: 1 day, 13:02:40 time: 0.3530 data_time: 0.0043 loss: 2.0124 03/03 12:57:43 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 12:57:53 - mmengine - INFO - Epoch(train) [27][2900/5005] lr: 8.4227e-02 eta: 1 day, 13:02:01 time: 0.3331 data_time: 0.0041 loss: 2.0741 03/03 12:58:29 - mmengine - INFO - Epoch(train) [27][3000/5005] lr: 8.4227e-02 eta: 1 day, 13:01:23 time: 0.3437 data_time: 0.0044 loss: 2.0529 03/03 12:59:04 - mmengine - INFO - Epoch(train) [27][3100/5005] lr: 8.4227e-02 eta: 1 day, 13:00:43 time: 0.3672 data_time: 0.0042 loss: 2.0378 03/03 12:59:39 - mmengine - INFO - Epoch(train) [27][3200/5005] lr: 8.4227e-02 eta: 1 day, 13:00:03 time: 0.3483 data_time: 0.0041 loss: 2.1641 03/03 13:00:14 - mmengine - INFO - Epoch(train) [27][3300/5005] lr: 8.4227e-02 eta: 1 day, 12:59:24 time: 0.3554 data_time: 0.0041 loss: 1.8689 03/03 13:00:49 - mmengine - INFO - Epoch(train) [27][3400/5005] lr: 8.4227e-02 eta: 1 day, 12:58:44 time: 0.3525 data_time: 0.0043 loss: 2.1868 03/03 13:01:25 - mmengine - INFO - Epoch(train) [27][3500/5005] lr: 8.4227e-02 eta: 1 day, 12:58:06 time: 0.3580 data_time: 0.0040 loss: 2.2204 03/03 13:02:00 - mmengine - INFO - Epoch(train) [27][3600/5005] lr: 8.4227e-02 eta: 1 day, 12:57:26 time: 0.3389 data_time: 0.0044 loss: 2.1132 03/03 13:02:35 - mmengine - INFO - Epoch(train) [27][3700/5005] lr: 8.4227e-02 eta: 1 day, 12:56:46 time: 0.3484 data_time: 0.0044 loss: 2.1069 03/03 13:03:11 - mmengine - INFO - Epoch(train) [27][3800/5005] lr: 8.4227e-02 eta: 1 day, 12:56:08 time: 0.3500 data_time: 0.0045 loss: 2.0762 03/03 13:03:35 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 13:03:46 - mmengine - INFO - Epoch(train) [27][3900/5005] lr: 8.4227e-02 eta: 1 day, 12:55:29 time: 0.3653 data_time: 0.0043 loss: 2.2765 03/03 13:04:21 - mmengine - INFO - Epoch(train) [27][4000/5005] lr: 8.4227e-02 eta: 1 day, 12:54:50 time: 0.3403 data_time: 0.0043 loss: 2.1056 03/03 13:04:57 - mmengine - INFO - Epoch(train) [27][4100/5005] lr: 8.4227e-02 eta: 1 day, 12:54:11 time: 0.3490 data_time: 0.0042 loss: 2.1884 03/03 13:05:32 - mmengine - INFO - Epoch(train) [27][4200/5005] lr: 8.4227e-02 eta: 1 day, 12:53:32 time: 0.3648 data_time: 0.0043 loss: 2.0152 03/03 13:06:07 - mmengine - INFO - Epoch(train) [27][4300/5005] lr: 8.4227e-02 eta: 1 day, 12:52:54 time: 0.3453 data_time: 0.0045 loss: 2.2808 03/03 13:06:43 - mmengine - INFO - Epoch(train) [27][4400/5005] lr: 8.4227e-02 eta: 1 day, 12:52:14 time: 0.3597 data_time: 0.0042 loss: 2.2210 03/03 13:07:17 - mmengine - INFO - Epoch(train) [27][4500/5005] lr: 8.4227e-02 eta: 1 day, 12:51:34 time: 0.3468 data_time: 0.0045 loss: 2.1509 03/03 13:07:53 - mmengine - INFO - Epoch(train) [27][4600/5005] lr: 8.4227e-02 eta: 1 day, 12:50:56 time: 0.3491 data_time: 0.0042 loss: 2.0695 03/03 13:08:28 - mmengine - INFO - Epoch(train) [27][4700/5005] lr: 8.4227e-02 eta: 1 day, 12:50:15 time: 0.3581 data_time: 0.0048 loss: 2.0620 03/03 13:09:03 - mmengine - INFO - Epoch(train) [27][4800/5005] lr: 8.4227e-02 eta: 1 day, 12:49:35 time: 0.3497 data_time: 0.0043 loss: 2.1785 03/03 13:09:27 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 13:09:39 - mmengine - INFO - Epoch(train) [27][4900/5005] lr: 8.4227e-02 eta: 1 day, 12:48:59 time: 0.4386 data_time: 0.0043 loss: 1.9037 03/03 13:10:20 - mmengine - INFO - Epoch(train) [27][5000/5005] lr: 8.4227e-02 eta: 1 day, 12:48:35 time: 0.4287 data_time: 0.0041 loss: 2.0204 03/03 13:10:22 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 13:10:25 - mmengine - INFO - Saving checkpoint at 27 epochs 03/03 13:10:42 - mmengine - INFO - Epoch(val) [27][100/196] eta: 0:00:14 time: 0.0483 data_time: 0.0003 03/03 13:10:58 - mmengine - INFO - Epoch(val) [27][196/196] accuracy/top1: 56.3620 accuracy/top5: 80.9660 03/03 13:11:42 - mmengine - INFO - Epoch(train) [28][ 100/5005] lr: 8.3066e-02 eta: 1 day, 12:48:17 time: 0.3398 data_time: 0.0041 loss: 1.9406 03/03 13:12:18 - mmengine - INFO - Epoch(train) [28][ 200/5005] lr: 8.3066e-02 eta: 1 day, 12:47:40 time: 0.3458 data_time: 0.0042 loss: 2.2010 03/03 13:12:52 - mmengine - INFO - Epoch(train) [28][ 300/5005] lr: 8.3066e-02 eta: 1 day, 12:46:59 time: 0.3376 data_time: 0.0044 loss: 2.1324 03/03 13:13:28 - mmengine - INFO - Epoch(train) [28][ 400/5005] lr: 8.3066e-02 eta: 1 day, 12:46:20 time: 0.3490 data_time: 0.0042 loss: 2.0804 03/03 13:14:03 - mmengine - INFO - Epoch(train) [28][ 500/5005] lr: 8.3066e-02 eta: 1 day, 12:45:41 time: 0.3759 data_time: 0.0042 loss: 1.8491 03/03 13:14:38 - mmengine - INFO - Epoch(train) [28][ 600/5005] lr: 8.3066e-02 eta: 1 day, 12:45:02 time: 0.3405 data_time: 0.0042 loss: 1.9224 03/03 13:15:14 - mmengine - INFO - Epoch(train) [28][ 700/5005] lr: 8.3066e-02 eta: 1 day, 12:44:24 time: 0.3471 data_time: 0.0042 loss: 2.0386 03/03 13:15:49 - mmengine - INFO - Epoch(train) [28][ 800/5005] lr: 8.3066e-02 eta: 1 day, 12:43:45 time: 0.3747 data_time: 0.0042 loss: 2.0835 03/03 13:16:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 13:16:25 - mmengine - INFO - Epoch(train) [28][ 900/5005] lr: 8.3066e-02 eta: 1 day, 12:43:07 time: 0.3506 data_time: 0.0044 loss: 2.0522 03/03 13:17:01 - mmengine - INFO - Epoch(train) [28][1000/5005] lr: 8.3066e-02 eta: 1 day, 12:42:29 time: 0.3561 data_time: 0.0043 loss: 2.0906 03/03 13:17:35 - mmengine - INFO - Epoch(train) [28][1100/5005] lr: 8.3066e-02 eta: 1 day, 12:41:47 time: 0.3470 data_time: 0.0042 loss: 2.0891 03/03 13:18:11 - mmengine - INFO - Epoch(train) [28][1200/5005] lr: 8.3066e-02 eta: 1 day, 12:41:10 time: 0.3480 data_time: 0.0043 loss: 1.9460 03/03 13:18:46 - mmengine - INFO - Epoch(train) [28][1300/5005] lr: 8.3066e-02 eta: 1 day, 12:40:30 time: 0.3587 data_time: 0.0044 loss: 2.1057 03/03 13:19:21 - mmengine - INFO - Epoch(train) [28][1400/5005] lr: 8.3066e-02 eta: 1 day, 12:39:51 time: 0.3565 data_time: 0.0044 loss: 2.2706 03/03 13:19:57 - mmengine - INFO - Epoch(train) [28][1500/5005] lr: 8.3066e-02 eta: 1 day, 12:39:13 time: 0.3689 data_time: 0.0044 loss: 2.1701 03/03 13:20:32 - mmengine - INFO - Epoch(train) [28][1600/5005] lr: 8.3066e-02 eta: 1 day, 12:38:33 time: 0.3768 data_time: 0.0041 loss: 2.1303 03/03 13:21:07 - mmengine - INFO - Epoch(train) [28][1700/5005] lr: 8.3066e-02 eta: 1 day, 12:37:54 time: 0.3369 data_time: 0.0047 loss: 1.9743 03/03 13:21:42 - mmengine - INFO - Epoch(train) [28][1800/5005] lr: 8.3066e-02 eta: 1 day, 12:37:15 time: 0.3605 data_time: 0.0042 loss: 2.1844 03/03 13:22:05 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 13:22:17 - mmengine - INFO - Epoch(train) [28][1900/5005] lr: 8.3066e-02 eta: 1 day, 12:36:34 time: 0.3422 data_time: 0.0041 loss: 2.1789 03/03 13:22:52 - mmengine - INFO - Epoch(train) [28][2000/5005] lr: 8.3066e-02 eta: 1 day, 12:35:56 time: 0.3449 data_time: 0.0045 loss: 2.2228 03/03 13:23:28 - mmengine - INFO - Epoch(train) [28][2100/5005] lr: 8.3066e-02 eta: 1 day, 12:35:17 time: 0.3562 data_time: 0.0041 loss: 1.9691 03/03 13:24:03 - mmengine - INFO - Epoch(train) [28][2200/5005] lr: 8.3066e-02 eta: 1 day, 12:34:37 time: 0.3604 data_time: 0.0041 loss: 2.0527 03/03 13:24:38 - mmengine - INFO - Epoch(train) [28][2300/5005] lr: 8.3066e-02 eta: 1 day, 12:33:58 time: 0.3474 data_time: 0.0043 loss: 1.9740 03/03 13:25:13 - mmengine - INFO - Epoch(train) [28][2400/5005] lr: 8.3066e-02 eta: 1 day, 12:33:20 time: 0.3571 data_time: 0.0044 loss: 2.0777 03/03 13:25:48 - mmengine - INFO - Epoch(train) [28][2500/5005] lr: 8.3066e-02 eta: 1 day, 12:32:40 time: 0.3428 data_time: 0.0042 loss: 2.0174 03/03 13:26:23 - mmengine - INFO - Epoch(train) [28][2600/5005] lr: 8.3066e-02 eta: 1 day, 12:32:01 time: 0.3437 data_time: 0.0042 loss: 2.2158 03/03 13:26:58 - mmengine - INFO - Epoch(train) [28][2700/5005] lr: 8.3066e-02 eta: 1 day, 12:31:21 time: 0.3422 data_time: 0.0044 loss: 1.7645 03/03 13:27:34 - mmengine - INFO - Epoch(train) [28][2800/5005] lr: 8.3066e-02 eta: 1 day, 12:30:42 time: 0.3454 data_time: 0.0043 loss: 2.2232 03/03 13:27:56 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 13:28:09 - mmengine - INFO - Epoch(train) [28][2900/5005] lr: 8.3066e-02 eta: 1 day, 12:30:03 time: 0.3520 data_time: 0.0042 loss: 2.0566 03/03 13:28:44 - mmengine - INFO - Epoch(train) [28][3000/5005] lr: 8.3066e-02 eta: 1 day, 12:29:24 time: 0.3568 data_time: 0.0043 loss: 2.0571 03/03 13:29:19 - mmengine - INFO - Epoch(train) [28][3100/5005] lr: 8.3066e-02 eta: 1 day, 12:28:45 time: 0.3394 data_time: 0.0041 loss: 2.0905 03/03 13:29:55 - mmengine - INFO - Epoch(train) [28][3200/5005] lr: 8.3066e-02 eta: 1 day, 12:28:06 time: 0.3516 data_time: 0.0044 loss: 2.2956 03/03 13:30:30 - mmengine - INFO - Epoch(train) [28][3300/5005] lr: 8.3066e-02 eta: 1 day, 12:27:27 time: 0.3571 data_time: 0.0044 loss: 2.1924 03/03 13:31:05 - mmengine - INFO - Epoch(train) [28][3400/5005] lr: 8.3066e-02 eta: 1 day, 12:26:48 time: 0.3468 data_time: 0.0043 loss: 2.1409 03/03 13:31:40 - mmengine - INFO - Epoch(train) [28][3500/5005] lr: 8.3066e-02 eta: 1 day, 12:26:08 time: 0.3478 data_time: 0.0041 loss: 2.0767 03/03 13:32:16 - mmengine - INFO - Epoch(train) [28][3600/5005] lr: 8.3066e-02 eta: 1 day, 12:25:31 time: 0.3415 data_time: 0.0041 loss: 2.0464 03/03 13:32:51 - mmengine - INFO - Epoch(train) [28][3700/5005] lr: 8.3066e-02 eta: 1 day, 12:24:52 time: 0.3549 data_time: 0.0042 loss: 2.1425 03/03 13:33:26 - mmengine - INFO - Epoch(train) [28][3800/5005] lr: 8.3066e-02 eta: 1 day, 12:24:12 time: 0.3598 data_time: 0.0042 loss: 2.0076 03/03 13:33:50 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 13:34:02 - mmengine - INFO - Epoch(train) [28][3900/5005] lr: 8.3066e-02 eta: 1 day, 12:23:33 time: 0.3350 data_time: 0.0043 loss: 1.9936 03/03 13:34:37 - mmengine - INFO - Epoch(train) [28][4000/5005] lr: 8.3066e-02 eta: 1 day, 12:22:55 time: 0.3493 data_time: 0.0041 loss: 2.0841 03/03 13:35:12 - mmengine - INFO - Epoch(train) [28][4100/5005] lr: 8.3066e-02 eta: 1 day, 12:22:16 time: 0.3617 data_time: 0.0041 loss: 2.0721 03/03 13:35:48 - mmengine - INFO - Epoch(train) [28][4200/5005] lr: 8.3066e-02 eta: 1 day, 12:21:39 time: 0.3620 data_time: 0.0042 loss: 2.2070 03/03 13:36:24 - mmengine - INFO - Epoch(train) [28][4300/5005] lr: 8.3066e-02 eta: 1 day, 12:21:00 time: 0.3637 data_time: 0.0043 loss: 2.2691 03/03 13:36:59 - mmengine - INFO - Epoch(train) [28][4400/5005] lr: 8.3066e-02 eta: 1 day, 12:20:21 time: 0.3693 data_time: 0.0046 loss: 2.2718 03/03 13:37:34 - mmengine - INFO - Epoch(train) [28][4500/5005] lr: 8.3066e-02 eta: 1 day, 12:19:42 time: 0.3383 data_time: 0.0044 loss: 2.1918 03/03 13:38:09 - mmengine - INFO - Epoch(train) [28][4600/5005] lr: 8.3066e-02 eta: 1 day, 12:19:03 time: 0.3454 data_time: 0.0045 loss: 2.2228 03/03 13:38:44 - mmengine - INFO - Epoch(train) [28][4700/5005] lr: 8.3066e-02 eta: 1 day, 12:18:24 time: 0.3500 data_time: 0.0042 loss: 2.0733 03/03 13:39:19 - mmengine - INFO - Epoch(train) [28][4800/5005] lr: 8.3066e-02 eta: 1 day, 12:17:44 time: 0.3388 data_time: 0.0046 loss: 2.1420 03/03 13:39:42 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 13:39:55 - mmengine - INFO - Epoch(train) [28][4900/5005] lr: 8.3066e-02 eta: 1 day, 12:17:07 time: 0.3619 data_time: 0.0045 loss: 2.1684 03/03 13:40:38 - mmengine - INFO - Epoch(train) [28][5000/5005] lr: 8.3066e-02 eta: 1 day, 12:16:46 time: 0.4023 data_time: 0.0043 loss: 2.1717 03/03 13:40:40 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 13:40:43 - mmengine - INFO - Saving checkpoint at 28 epochs 03/03 13:41:00 - mmengine - INFO - Epoch(val) [28][100/196] eta: 0:00:14 time: 0.0403 data_time: 0.0002 03/03 13:41:16 - mmengine - INFO - Epoch(val) [28][196/196] accuracy/top1: 57.2680 accuracy/top5: 81.7400 03/03 13:42:00 - mmengine - INFO - Epoch(train) [29][ 100/5005] lr: 8.1871e-02 eta: 1 day, 12:16:30 time: 0.3600 data_time: 0.0051 loss: 1.8778 03/03 13:42:36 - mmengine - INFO - Epoch(train) [29][ 200/5005] lr: 8.1871e-02 eta: 1 day, 12:15:53 time: 0.3455 data_time: 0.0042 loss: 2.0615 03/03 13:43:12 - mmengine - INFO - Epoch(train) [29][ 300/5005] lr: 8.1871e-02 eta: 1 day, 12:15:14 time: 0.3439 data_time: 0.0045 loss: 1.9647 03/03 13:43:47 - mmengine - INFO - Epoch(train) [29][ 400/5005] lr: 8.1871e-02 eta: 1 day, 12:14:36 time: 0.3506 data_time: 0.0045 loss: 1.9501 03/03 13:44:22 - mmengine - INFO - Epoch(train) [29][ 500/5005] lr: 8.1871e-02 eta: 1 day, 12:13:56 time: 0.3427 data_time: 0.0042 loss: 1.9232 03/03 13:44:58 - mmengine - INFO - Epoch(train) [29][ 600/5005] lr: 8.1871e-02 eta: 1 day, 12:13:19 time: 0.3474 data_time: 0.0042 loss: 2.1409 03/03 13:45:34 - mmengine - INFO - Epoch(train) [29][ 700/5005] lr: 8.1871e-02 eta: 1 day, 12:12:41 time: 0.3732 data_time: 0.0044 loss: 2.0778 03/03 13:46:09 - mmengine - INFO - Epoch(train) [29][ 800/5005] lr: 8.1871e-02 eta: 1 day, 12:12:02 time: 0.3479 data_time: 0.0046 loss: 1.9811 03/03 13:46:30 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 13:46:44 - mmengine - INFO - Epoch(train) [29][ 900/5005] lr: 8.1871e-02 eta: 1 day, 12:11:23 time: 0.3476 data_time: 0.0042 loss: 2.4278 03/03 13:47:20 - mmengine - INFO - Epoch(train) [29][1000/5005] lr: 8.1871e-02 eta: 1 day, 12:10:46 time: 0.3979 data_time: 0.0045 loss: 2.2782 03/03 13:47:55 - mmengine - INFO - Epoch(train) [29][1100/5005] lr: 8.1871e-02 eta: 1 day, 12:10:07 time: 0.3637 data_time: 0.0044 loss: 1.9289 03/03 13:48:31 - mmengine - INFO - Epoch(train) [29][1200/5005] lr: 8.1871e-02 eta: 1 day, 12:09:29 time: 0.3507 data_time: 0.0044 loss: 2.0410 03/03 13:49:06 - mmengine - INFO - Epoch(train) [29][1300/5005] lr: 8.1871e-02 eta: 1 day, 12:08:50 time: 0.3402 data_time: 0.0042 loss: 1.9964 03/03 13:49:41 - mmengine - INFO - Epoch(train) [29][1400/5005] lr: 8.1871e-02 eta: 1 day, 12:08:11 time: 0.3406 data_time: 0.0043 loss: 2.0834 03/03 13:50:17 - mmengine - INFO - Epoch(train) [29][1500/5005] lr: 8.1871e-02 eta: 1 day, 12:07:34 time: 0.3557 data_time: 0.0042 loss: 2.0441 03/03 13:50:52 - mmengine - INFO - Epoch(train) [29][1600/5005] lr: 8.1871e-02 eta: 1 day, 12:06:54 time: 0.3374 data_time: 0.0043 loss: 2.0837 03/03 13:51:28 - mmengine - INFO - Epoch(train) [29][1700/5005] lr: 8.1871e-02 eta: 1 day, 12:06:15 time: 0.3500 data_time: 0.0042 loss: 2.1824 03/03 13:52:03 - mmengine - INFO - Epoch(train) [29][1800/5005] lr: 8.1871e-02 eta: 1 day, 12:05:36 time: 0.3705 data_time: 0.0042 loss: 1.9936 03/03 13:52:24 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 13:52:38 - mmengine - INFO - Epoch(train) [29][1900/5005] lr: 8.1871e-02 eta: 1 day, 12:04:57 time: 0.3615 data_time: 0.0045 loss: 2.1356 03/03 13:53:13 - mmengine - INFO - Epoch(train) [29][2000/5005] lr: 8.1871e-02 eta: 1 day, 12:04:19 time: 0.3483 data_time: 0.0046 loss: 2.1475 03/03 13:53:48 - mmengine - INFO - Epoch(train) [29][2100/5005] lr: 8.1871e-02 eta: 1 day, 12:03:39 time: 0.3463 data_time: 0.0042 loss: 2.1925 03/03 13:54:24 - mmengine - INFO - Epoch(train) [29][2200/5005] lr: 8.1871e-02 eta: 1 day, 12:03:01 time: 0.3461 data_time: 0.0043 loss: 2.0404 03/03 13:54:59 - mmengine - INFO - Epoch(train) [29][2300/5005] lr: 8.1871e-02 eta: 1 day, 12:02:22 time: 0.3607 data_time: 0.0043 loss: 1.9332 03/03 13:55:34 - mmengine - INFO - Epoch(train) [29][2400/5005] lr: 8.1871e-02 eta: 1 day, 12:01:42 time: 0.3566 data_time: 0.0044 loss: 2.0106 03/03 13:56:09 - mmengine - INFO - Epoch(train) [29][2500/5005] lr: 8.1871e-02 eta: 1 day, 12:01:04 time: 0.3438 data_time: 0.0042 loss: 1.9258 03/03 13:56:45 - mmengine - INFO - Epoch(train) [29][2600/5005] lr: 8.1871e-02 eta: 1 day, 12:00:26 time: 0.3765 data_time: 0.0046 loss: 1.9076 03/03 13:57:20 - mmengine - INFO - Epoch(train) [29][2700/5005] lr: 8.1871e-02 eta: 1 day, 11:59:46 time: 0.3423 data_time: 0.0045 loss: 2.1442 03/03 13:57:55 - mmengine - INFO - Epoch(train) [29][2800/5005] lr: 8.1871e-02 eta: 1 day, 11:59:08 time: 0.3493 data_time: 0.0043 loss: 1.9773 03/03 13:58:16 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 13:58:30 - mmengine - INFO - Epoch(train) [29][2900/5005] lr: 8.1871e-02 eta: 1 day, 11:58:28 time: 0.3470 data_time: 0.0044 loss: 1.9461 03/03 13:59:05 - mmengine - INFO - Epoch(train) [29][3000/5005] lr: 8.1871e-02 eta: 1 day, 11:57:50 time: 0.3463 data_time: 0.0046 loss: 2.1050 03/03 13:59:41 - mmengine - INFO - Epoch(train) [29][3100/5005] lr: 8.1871e-02 eta: 1 day, 11:57:11 time: 0.3629 data_time: 0.0043 loss: 2.3726 03/03 14:00:16 - mmengine - INFO - Epoch(train) [29][3200/5005] lr: 8.1871e-02 eta: 1 day, 11:56:32 time: 0.3628 data_time: 0.0048 loss: 2.1151 03/03 14:00:51 - mmengine - INFO - Epoch(train) [29][3300/5005] lr: 8.1871e-02 eta: 1 day, 11:55:53 time: 0.3434 data_time: 0.0046 loss: 2.1341 03/03 14:01:27 - mmengine - INFO - Epoch(train) [29][3400/5005] lr: 8.1871e-02 eta: 1 day, 11:55:15 time: 0.3691 data_time: 0.0044 loss: 2.0554 03/03 14:02:02 - mmengine - INFO - Epoch(train) [29][3500/5005] lr: 8.1871e-02 eta: 1 day, 11:54:35 time: 0.3655 data_time: 0.0043 loss: 2.1343 03/03 14:02:37 - mmengine - INFO - Epoch(train) [29][3600/5005] lr: 8.1871e-02 eta: 1 day, 11:53:57 time: 0.3601 data_time: 0.0044 loss: 1.9006 03/03 14:03:12 - mmengine - INFO - Epoch(train) [29][3700/5005] lr: 8.1871e-02 eta: 1 day, 11:53:17 time: 0.3388 data_time: 0.0042 loss: 2.1929 03/03 14:03:47 - mmengine - INFO - Epoch(train) [29][3800/5005] lr: 8.1871e-02 eta: 1 day, 11:52:38 time: 0.3377 data_time: 0.0045 loss: 2.0774 03/03 14:04:08 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 14:04:22 - mmengine - INFO - Epoch(train) [29][3900/5005] lr: 8.1871e-02 eta: 1 day, 11:52:00 time: 0.3477 data_time: 0.0041 loss: 2.0264 03/03 14:04:57 - mmengine - INFO - Epoch(train) [29][4000/5005] lr: 8.1871e-02 eta: 1 day, 11:51:20 time: 0.3546 data_time: 0.0045 loss: 1.8970 03/03 14:05:33 - mmengine - INFO - Epoch(train) [29][4100/5005] lr: 8.1871e-02 eta: 1 day, 11:50:42 time: 0.3635 data_time: 0.0043 loss: 1.9910 03/03 14:06:08 - mmengine - INFO - Epoch(train) [29][4200/5005] lr: 8.1871e-02 eta: 1 day, 11:50:04 time: 0.3616 data_time: 0.0042 loss: 2.1424 03/03 14:06:44 - mmengine - INFO - Epoch(train) [29][4300/5005] lr: 8.1871e-02 eta: 1 day, 11:49:26 time: 0.3470 data_time: 0.0043 loss: 2.2071 03/03 14:07:19 - mmengine - INFO - Epoch(train) [29][4400/5005] lr: 8.1871e-02 eta: 1 day, 11:48:46 time: 0.3409 data_time: 0.0042 loss: 2.2486 03/03 14:07:54 - mmengine - INFO - Epoch(train) [29][4500/5005] lr: 8.1871e-02 eta: 1 day, 11:48:08 time: 0.3580 data_time: 0.0041 loss: 2.0244 03/03 14:08:29 - mmengine - INFO - Epoch(train) [29][4600/5005] lr: 8.1871e-02 eta: 1 day, 11:47:29 time: 0.3412 data_time: 0.0044 loss: 2.0097 03/03 14:09:04 - mmengine - INFO - Epoch(train) [29][4700/5005] lr: 8.1871e-02 eta: 1 day, 11:46:50 time: 0.3508 data_time: 0.0044 loss: 2.0897 03/03 14:09:40 - mmengine - INFO - Epoch(train) [29][4800/5005] lr: 8.1871e-02 eta: 1 day, 11:46:11 time: 0.3414 data_time: 0.0043 loss: 2.0695 03/03 14:10:01 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 14:10:16 - mmengine - INFO - Epoch(train) [29][4900/5005] lr: 8.1871e-02 eta: 1 day, 11:45:35 time: 0.4210 data_time: 0.0046 loss: 2.0907 03/03 14:10:59 - mmengine - INFO - Epoch(train) [29][5000/5005] lr: 8.1871e-02 eta: 1 day, 11:45:15 time: 0.4183 data_time: 0.0044 loss: 2.3945 03/03 14:11:01 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 14:11:04 - mmengine - INFO - Saving checkpoint at 29 epochs 03/03 14:11:21 - mmengine - INFO - Epoch(val) [29][100/196] eta: 0:00:14 time: 0.0448 data_time: 0.0003 03/03 14:11:37 - mmengine - INFO - Epoch(val) [29][196/196] accuracy/top1: 57.7480 accuracy/top5: 82.2900 03/03 14:12:21 - mmengine - INFO - Epoch(train) [30][ 100/5005] lr: 8.0645e-02 eta: 1 day, 11:44:56 time: 0.3384 data_time: 0.0043 loss: 1.9346 03/03 14:12:56 - mmengine - INFO - Epoch(train) [30][ 200/5005] lr: 8.0645e-02 eta: 1 day, 11:44:18 time: 0.3427 data_time: 0.0044 loss: 2.1598 03/03 14:13:32 - mmengine - INFO - Epoch(train) [30][ 300/5005] lr: 8.0645e-02 eta: 1 day, 11:43:40 time: 0.3431 data_time: 0.0045 loss: 2.0155 03/03 14:14:07 - mmengine - INFO - Epoch(train) [30][ 400/5005] lr: 8.0645e-02 eta: 1 day, 11:43:02 time: 0.3567 data_time: 0.0045 loss: 2.2834 03/03 14:14:42 - mmengine - INFO - Epoch(train) [30][ 500/5005] lr: 8.0645e-02 eta: 1 day, 11:42:22 time: 0.3436 data_time: 0.0044 loss: 1.8533 03/03 14:15:17 - mmengine - INFO - Epoch(train) [30][ 600/5005] lr: 8.0645e-02 eta: 1 day, 11:41:44 time: 0.3384 data_time: 0.0043 loss: 2.0309 03/03 14:15:53 - mmengine - INFO - Epoch(train) [30][ 700/5005] lr: 8.0645e-02 eta: 1 day, 11:41:06 time: 0.3577 data_time: 0.0044 loss: 1.8757 03/03 14:16:28 - mmengine - INFO - Epoch(train) [30][ 800/5005] lr: 8.0645e-02 eta: 1 day, 11:40:26 time: 0.3414 data_time: 0.0042 loss: 2.1080 03/03 14:16:47 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 14:17:03 - mmengine - INFO - Epoch(train) [30][ 900/5005] lr: 8.0645e-02 eta: 1 day, 11:39:47 time: 0.3558 data_time: 0.0044 loss: 2.1436 03/03 14:17:39 - mmengine - INFO - Epoch(train) [30][1000/5005] lr: 8.0645e-02 eta: 1 day, 11:39:09 time: 0.3695 data_time: 0.0042 loss: 2.1211 03/03 14:18:14 - mmengine - INFO - Epoch(train) [30][1100/5005] lr: 8.0645e-02 eta: 1 day, 11:38:32 time: 0.3475 data_time: 0.0043 loss: 2.1787 03/03 14:18:50 - mmengine - INFO - Epoch(train) [30][1200/5005] lr: 8.0645e-02 eta: 1 day, 11:37:54 time: 0.3421 data_time: 0.0046 loss: 2.0309 03/03 14:19:25 - mmengine - INFO - Epoch(train) [30][1300/5005] lr: 8.0645e-02 eta: 1 day, 11:37:15 time: 0.3575 data_time: 0.0044 loss: 2.0721 03/03 14:20:01 - mmengine - INFO - Epoch(train) [30][1400/5005] lr: 8.0645e-02 eta: 1 day, 11:36:38 time: 0.3448 data_time: 0.0045 loss: 2.0806 03/03 14:20:36 - mmengine - INFO - Epoch(train) [30][1500/5005] lr: 8.0645e-02 eta: 1 day, 11:35:59 time: 0.3440 data_time: 0.0046 loss: 2.0533 03/03 14:21:12 - mmengine - INFO - Epoch(train) [30][1600/5005] lr: 8.0645e-02 eta: 1 day, 11:35:21 time: 0.3452 data_time: 0.0045 loss: 2.0825 03/03 14:21:47 - mmengine - INFO - Epoch(train) [30][1700/5005] lr: 8.0645e-02 eta: 1 day, 11:34:43 time: 0.3407 data_time: 0.0043 loss: 1.9743 03/03 14:22:23 - mmengine - INFO - Epoch(train) [30][1800/5005] lr: 8.0645e-02 eta: 1 day, 11:34:05 time: 0.3631 data_time: 0.0043 loss: 1.9750 03/03 14:22:42 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 14:22:58 - mmengine - INFO - Epoch(train) [30][1900/5005] lr: 8.0645e-02 eta: 1 day, 11:33:27 time: 0.3618 data_time: 0.0041 loss: 2.3150 03/03 14:23:34 - mmengine - INFO - Epoch(train) [30][2000/5005] lr: 8.0645e-02 eta: 1 day, 11:32:48 time: 0.3406 data_time: 0.0042 loss: 2.2401 03/03 14:24:09 - mmengine - INFO - Epoch(train) [30][2100/5005] lr: 8.0645e-02 eta: 1 day, 11:32:10 time: 0.3453 data_time: 0.0043 loss: 2.0077 03/03 14:24:44 - mmengine - INFO - Epoch(train) [30][2200/5005] lr: 8.0645e-02 eta: 1 day, 11:31:31 time: 0.3563 data_time: 0.0042 loss: 2.2132 03/03 14:25:19 - mmengine - INFO - Epoch(train) [30][2300/5005] lr: 8.0645e-02 eta: 1 day, 11:30:52 time: 0.3472 data_time: 0.0043 loss: 2.1091 03/03 14:25:54 - mmengine - INFO - Epoch(train) [30][2400/5005] lr: 8.0645e-02 eta: 1 day, 11:30:13 time: 0.3500 data_time: 0.0044 loss: 2.2691 03/03 14:26:30 - mmengine - INFO - Epoch(train) [30][2500/5005] lr: 8.0645e-02 eta: 1 day, 11:29:35 time: 0.3676 data_time: 0.0043 loss: 1.7891 03/03 14:27:05 - mmengine - INFO - Epoch(train) [30][2600/5005] lr: 8.0645e-02 eta: 1 day, 11:28:56 time: 0.3422 data_time: 0.0043 loss: 1.9899 03/03 14:27:40 - mmengine - INFO - Epoch(train) [30][2700/5005] lr: 8.0645e-02 eta: 1 day, 11:28:18 time: 0.3464 data_time: 0.0045 loss: 2.1721 03/03 14:28:16 - mmengine - INFO - Epoch(train) [30][2800/5005] lr: 8.0645e-02 eta: 1 day, 11:27:40 time: 0.3443 data_time: 0.0042 loss: 2.1128 03/03 14:28:35 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 14:28:51 - mmengine - INFO - Epoch(train) [30][2900/5005] lr: 8.0645e-02 eta: 1 day, 11:27:00 time: 0.3462 data_time: 0.0045 loss: 1.9731 03/03 14:29:26 - mmengine - INFO - Epoch(train) [30][3000/5005] lr: 8.0645e-02 eta: 1 day, 11:26:22 time: 0.3389 data_time: 0.0041 loss: 2.1197 03/03 14:30:02 - mmengine - INFO - Epoch(train) [30][3100/5005] lr: 8.0645e-02 eta: 1 day, 11:25:44 time: 0.3747 data_time: 0.0042 loss: 2.0758 03/03 14:30:37 - mmengine - INFO - Epoch(train) [30][3200/5005] lr: 8.0645e-02 eta: 1 day, 11:25:05 time: 0.3485 data_time: 0.0043 loss: 2.0973 03/03 14:31:12 - mmengine - INFO - Epoch(train) [30][3300/5005] lr: 8.0645e-02 eta: 1 day, 11:24:27 time: 0.3502 data_time: 0.0041 loss: 2.1813 03/03 14:31:47 - mmengine - INFO - Epoch(train) [30][3400/5005] lr: 8.0645e-02 eta: 1 day, 11:23:48 time: 0.3479 data_time: 0.0041 loss: 2.0935 03/03 14:32:23 - mmengine - INFO - Epoch(train) [30][3500/5005] lr: 8.0645e-02 eta: 1 day, 11:23:10 time: 0.3577 data_time: 0.0043 loss: 1.9644 03/03 14:32:58 - mmengine - INFO - Epoch(train) [30][3600/5005] lr: 8.0645e-02 eta: 1 day, 11:22:31 time: 0.3551 data_time: 0.0041 loss: 2.2321 03/03 14:33:33 - mmengine - INFO - Epoch(train) [30][3700/5005] lr: 8.0645e-02 eta: 1 day, 11:21:52 time: 0.3507 data_time: 0.0042 loss: 2.2353 03/03 14:34:08 - mmengine - INFO - Epoch(train) [30][3800/5005] lr: 8.0645e-02 eta: 1 day, 11:21:13 time: 0.3586 data_time: 0.0043 loss: 1.9859 03/03 14:34:27 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 14:34:43 - mmengine - INFO - Epoch(train) [30][3900/5005] lr: 8.0645e-02 eta: 1 day, 11:20:34 time: 0.3447 data_time: 0.0044 loss: 1.9861 03/03 14:35:19 - mmengine - INFO - Epoch(train) [30][4000/5005] lr: 8.0645e-02 eta: 1 day, 11:19:56 time: 0.3473 data_time: 0.0045 loss: 2.2242 03/03 14:35:54 - mmengine - INFO - Epoch(train) [30][4100/5005] lr: 8.0645e-02 eta: 1 day, 11:19:17 time: 0.3565 data_time: 0.0044 loss: 2.1905 03/03 14:36:29 - mmengine - INFO - Epoch(train) [30][4200/5005] lr: 8.0645e-02 eta: 1 day, 11:18:38 time: 0.3555 data_time: 0.0044 loss: 1.9337 03/03 14:37:04 - mmengine - INFO - Epoch(train) [30][4300/5005] lr: 8.0645e-02 eta: 1 day, 11:18:00 time: 0.3391 data_time: 0.0042 loss: 2.0071 03/03 14:37:40 - mmengine - INFO - Epoch(train) [30][4400/5005] lr: 8.0645e-02 eta: 1 day, 11:17:22 time: 0.3587 data_time: 0.0044 loss: 2.0778 03/03 14:38:15 - mmengine - INFO - Epoch(train) [30][4500/5005] lr: 8.0645e-02 eta: 1 day, 11:16:43 time: 0.3512 data_time: 0.0045 loss: 2.0571 03/03 14:38:50 - mmengine - INFO - Epoch(train) [30][4600/5005] lr: 8.0645e-02 eta: 1 day, 11:16:06 time: 0.3410 data_time: 0.0042 loss: 2.0272 03/03 14:39:26 - mmengine - INFO - Epoch(train) [30][4700/5005] lr: 8.0645e-02 eta: 1 day, 11:15:27 time: 0.3532 data_time: 0.0043 loss: 1.7936 03/03 14:40:01 - mmengine - INFO - Epoch(train) [30][4800/5005] lr: 8.0645e-02 eta: 1 day, 11:14:48 time: 0.3459 data_time: 0.0044 loss: 2.0974 03/03 14:40:20 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 14:40:37 - mmengine - INFO - Epoch(train) [30][4900/5005] lr: 8.0645e-02 eta: 1 day, 11:14:13 time: 0.4135 data_time: 0.0052 loss: 2.1411 03/03 14:41:18 - mmengine - INFO - Epoch(train) [30][5000/5005] lr: 8.0645e-02 eta: 1 day, 11:13:48 time: 0.4297 data_time: 0.0047 loss: 2.0963 03/03 14:41:20 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 14:41:23 - mmengine - INFO - Saving checkpoint at 30 epochs 03/03 14:41:40 - mmengine - INFO - Epoch(val) [30][100/196] eta: 0:00:15 time: 0.0475 data_time: 0.0003 03/03 14:41:57 - mmengine - INFO - Epoch(val) [30][196/196] accuracy/top1: 57.1960 accuracy/top5: 81.6960 03/03 14:42:41 - mmengine - INFO - Epoch(train) [31][ 100/5005] lr: 7.9389e-02 eta: 1 day, 11:13:28 time: 0.3560 data_time: 0.0044 loss: 2.2923 03/03 14:43:17 - mmengine - INFO - Epoch(train) [31][ 200/5005] lr: 7.9389e-02 eta: 1 day, 11:12:51 time: 0.3498 data_time: 0.0044 loss: 1.9061 03/03 14:43:52 - mmengine - INFO - Epoch(train) [31][ 300/5005] lr: 7.9389e-02 eta: 1 day, 11:12:12 time: 0.3386 data_time: 0.0043 loss: 1.9957 03/03 14:44:28 - mmengine - INFO - Epoch(train) [31][ 400/5005] lr: 7.9389e-02 eta: 1 day, 11:11:35 time: 0.3357 data_time: 0.0046 loss: 2.0057 03/03 14:45:03 - mmengine - INFO - Epoch(train) [31][ 500/5005] lr: 7.9389e-02 eta: 1 day, 11:10:56 time: 0.3563 data_time: 0.0043 loss: 1.8679 03/03 14:45:38 - mmengine - INFO - Epoch(train) [31][ 600/5005] lr: 7.9389e-02 eta: 1 day, 11:10:18 time: 0.3510 data_time: 0.0044 loss: 2.2489 03/03 14:46:14 - mmengine - INFO - Epoch(train) [31][ 700/5005] lr: 7.9389e-02 eta: 1 day, 11:09:40 time: 0.3498 data_time: 0.0047 loss: 2.1145 03/03 14:46:49 - mmengine - INFO - Epoch(train) [31][ 800/5005] lr: 7.9389e-02 eta: 1 day, 11:09:01 time: 0.3553 data_time: 0.0042 loss: 1.9863 03/03 14:47:07 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 14:47:24 - mmengine - INFO - Epoch(train) [31][ 900/5005] lr: 7.9389e-02 eta: 1 day, 11:08:23 time: 0.3372 data_time: 0.0043 loss: 2.0510 03/03 14:48:00 - mmengine - INFO - Epoch(train) [31][1000/5005] lr: 7.9389e-02 eta: 1 day, 11:07:45 time: 0.3488 data_time: 0.0042 loss: 1.9947 03/03 14:48:35 - mmengine - INFO - Epoch(train) [31][1100/5005] lr: 7.9389e-02 eta: 1 day, 11:07:06 time: 0.3452 data_time: 0.0043 loss: 2.0601 03/03 14:49:10 - mmengine - INFO - Epoch(train) [31][1200/5005] lr: 7.9389e-02 eta: 1 day, 11:06:28 time: 0.3413 data_time: 0.0047 loss: 2.2454 03/03 14:49:45 - mmengine - INFO - Epoch(train) [31][1300/5005] lr: 7.9389e-02 eta: 1 day, 11:05:49 time: 0.3554 data_time: 0.0043 loss: 2.0498 03/03 14:50:21 - mmengine - INFO - Epoch(train) [31][1400/5005] lr: 7.9389e-02 eta: 1 day, 11:05:11 time: 0.3523 data_time: 0.0045 loss: 1.9935 03/03 14:50:56 - mmengine - INFO - Epoch(train) [31][1500/5005] lr: 7.9389e-02 eta: 1 day, 11:04:32 time: 0.3738 data_time: 0.0044 loss: 1.9821 03/03 14:51:31 - mmengine - INFO - Epoch(train) [31][1600/5005] lr: 7.9389e-02 eta: 1 day, 11:03:53 time: 0.3589 data_time: 0.0046 loss: 2.1730 03/03 14:52:06 - mmengine - INFO - Epoch(train) [31][1700/5005] lr: 7.9389e-02 eta: 1 day, 11:03:15 time: 0.3634 data_time: 0.0044 loss: 2.0493 03/03 14:52:41 - mmengine - INFO - Epoch(train) [31][1800/5005] lr: 7.9389e-02 eta: 1 day, 11:02:36 time: 0.3542 data_time: 0.0043 loss: 2.0898 03/03 14:52:59 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 14:53:16 - mmengine - INFO - Epoch(train) [31][1900/5005] lr: 7.9389e-02 eta: 1 day, 11:01:56 time: 0.3393 data_time: 0.0045 loss: 2.1232 03/03 14:53:52 - mmengine - INFO - Epoch(train) [31][2000/5005] lr: 7.9389e-02 eta: 1 day, 11:01:19 time: 0.3475 data_time: 0.0043 loss: 2.2193 03/03 14:54:27 - mmengine - INFO - Epoch(train) [31][2100/5005] lr: 7.9389e-02 eta: 1 day, 11:00:41 time: 0.3763 data_time: 0.0044 loss: 2.1423 03/03 14:55:02 - mmengine - INFO - Epoch(train) [31][2200/5005] lr: 7.9389e-02 eta: 1 day, 11:00:02 time: 0.3474 data_time: 0.0043 loss: 1.8456 03/03 14:55:38 - mmengine - INFO - Epoch(train) [31][2300/5005] lr: 7.9389e-02 eta: 1 day, 10:59:23 time: 0.3416 data_time: 0.0045 loss: 1.9772 03/03 14:56:13 - mmengine - INFO - Epoch(train) [31][2400/5005] lr: 7.9389e-02 eta: 1 day, 10:58:45 time: 0.3572 data_time: 0.0043 loss: 1.9728 03/03 14:56:49 - mmengine - INFO - Epoch(train) [31][2500/5005] lr: 7.9389e-02 eta: 1 day, 10:58:08 time: 0.3598 data_time: 0.0043 loss: 2.1936 03/03 14:57:24 - mmengine - INFO - Epoch(train) [31][2600/5005] lr: 7.9389e-02 eta: 1 day, 10:57:29 time: 0.3388 data_time: 0.0043 loss: 2.1099 03/03 14:57:59 - mmengine - INFO - Epoch(train) [31][2700/5005] lr: 7.9389e-02 eta: 1 day, 10:56:50 time: 0.3416 data_time: 0.0042 loss: 2.1248 03/03 14:58:34 - mmengine - INFO - Epoch(train) [31][2800/5005] lr: 7.9389e-02 eta: 1 day, 10:56:12 time: 0.3619 data_time: 0.0044 loss: 2.2238 03/03 14:58:52 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 14:59:10 - mmengine - INFO - Epoch(train) [31][2900/5005] lr: 7.9389e-02 eta: 1 day, 10:55:34 time: 0.3539 data_time: 0.0045 loss: 2.0486 03/03 14:59:45 - mmengine - INFO - Epoch(train) [31][3000/5005] lr: 7.9389e-02 eta: 1 day, 10:54:55 time: 0.3456 data_time: 0.0044 loss: 2.0417 03/03 15:00:20 - mmengine - INFO - Epoch(train) [31][3100/5005] lr: 7.9389e-02 eta: 1 day, 10:54:16 time: 0.3542 data_time: 0.0045 loss: 2.1363 03/03 15:00:55 - mmengine - INFO - Epoch(train) [31][3200/5005] lr: 7.9389e-02 eta: 1 day, 10:53:37 time: 0.3570 data_time: 0.0043 loss: 1.8367 03/03 15:01:30 - mmengine - INFO - Epoch(train) [31][3300/5005] lr: 7.9389e-02 eta: 1 day, 10:52:59 time: 0.3493 data_time: 0.0046 loss: 2.1943 03/03 15:02:05 - mmengine - INFO - Epoch(train) [31][3400/5005] lr: 7.9389e-02 eta: 1 day, 10:52:20 time: 0.3614 data_time: 0.0045 loss: 2.2344 03/03 15:02:40 - mmengine - INFO - Epoch(train) [31][3500/5005] lr: 7.9389e-02 eta: 1 day, 10:51:41 time: 0.3464 data_time: 0.0042 loss: 2.1540 03/03 15:03:15 - mmengine - INFO - Epoch(train) [31][3600/5005] lr: 7.9389e-02 eta: 1 day, 10:51:02 time: 0.3377 data_time: 0.0043 loss: 2.1741 03/03 15:03:50 - mmengine - INFO - Epoch(train) [31][3700/5005] lr: 7.9389e-02 eta: 1 day, 10:50:24 time: 0.3586 data_time: 0.0045 loss: 2.0853 03/03 15:04:25 - mmengine - INFO - Epoch(train) [31][3800/5005] lr: 7.9389e-02 eta: 1 day, 10:49:45 time: 0.3493 data_time: 0.0042 loss: 2.1600 03/03 15:04:43 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 15:05:01 - mmengine - INFO - Epoch(train) [31][3900/5005] lr: 7.9389e-02 eta: 1 day, 10:49:07 time: 0.3368 data_time: 0.0046 loss: 2.0752 03/03 15:05:36 - mmengine - INFO - Epoch(train) [31][4000/5005] lr: 7.9389e-02 eta: 1 day, 10:48:28 time: 0.3576 data_time: 0.0043 loss: 1.9957 03/03 15:06:12 - mmengine - INFO - Epoch(train) [31][4100/5005] lr: 7.9389e-02 eta: 1 day, 10:47:50 time: 0.3522 data_time: 0.0045 loss: 1.9236 03/03 15:06:47 - mmengine - INFO - Epoch(train) [31][4200/5005] lr: 7.9389e-02 eta: 1 day, 10:47:12 time: 0.3485 data_time: 0.0042 loss: 2.0753 03/03 15:07:21 - mmengine - INFO - Epoch(train) [31][4300/5005] lr: 7.9389e-02 eta: 1 day, 10:46:32 time: 0.3399 data_time: 0.0043 loss: 1.8346 03/03 15:07:57 - mmengine - INFO - Epoch(train) [31][4400/5005] lr: 7.9389e-02 eta: 1 day, 10:45:53 time: 0.3391 data_time: 0.0043 loss: 2.0373 03/03 15:08:32 - mmengine - INFO - Epoch(train) [31][4500/5005] lr: 7.9389e-02 eta: 1 day, 10:45:16 time: 0.3494 data_time: 0.0043 loss: 2.1745 03/03 15:09:07 - mmengine - INFO - Epoch(train) [31][4600/5005] lr: 7.9389e-02 eta: 1 day, 10:44:37 time: 0.3425 data_time: 0.0044 loss: 2.2882 03/03 15:09:42 - mmengine - INFO - Epoch(train) [31][4700/5005] lr: 7.9389e-02 eta: 1 day, 10:43:59 time: 0.3435 data_time: 0.0045 loss: 2.0203 03/03 15:10:18 - mmengine - INFO - Epoch(train) [31][4800/5005] lr: 7.9389e-02 eta: 1 day, 10:43:20 time: 0.3695 data_time: 0.0043 loss: 1.9121 03/03 15:10:35 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 15:10:55 - mmengine - INFO - Epoch(train) [31][4900/5005] lr: 7.9389e-02 eta: 1 day, 10:42:46 time: 0.4387 data_time: 0.0046 loss: 2.2184 03/03 15:11:37 - mmengine - INFO - Epoch(train) [31][5000/5005] lr: 7.9389e-02 eta: 1 day, 10:42:23 time: 0.4280 data_time: 0.0046 loss: 1.9906 03/03 15:11:39 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 15:11:42 - mmengine - INFO - Saving checkpoint at 31 epochs 03/03 15:11:59 - mmengine - INFO - Epoch(val) [31][100/196] eta: 0:00:14 time: 0.0364 data_time: 0.0002 03/03 15:12:15 - mmengine - INFO - Epoch(val) [31][196/196] accuracy/top1: 58.0360 accuracy/top5: 82.1500 03/03 15:12:59 - mmengine - INFO - Epoch(train) [32][ 100/5005] lr: 7.8104e-02 eta: 1 day, 10:42:04 time: 0.3677 data_time: 0.0044 loss: 1.8853 03/03 15:13:35 - mmengine - INFO - Epoch(train) [32][ 200/5005] lr: 7.8104e-02 eta: 1 day, 10:41:26 time: 0.3449 data_time: 0.0044 loss: 1.9789 03/03 15:14:11 - mmengine - INFO - Epoch(train) [32][ 300/5005] lr: 7.8104e-02 eta: 1 day, 10:40:49 time: 0.3386 data_time: 0.0045 loss: 1.9386 03/03 15:14:46 - mmengine - INFO - Epoch(train) [32][ 400/5005] lr: 7.8104e-02 eta: 1 day, 10:40:10 time: 0.3428 data_time: 0.0043 loss: 2.0072 03/03 15:15:22 - mmengine - INFO - Epoch(train) [32][ 500/5005] lr: 7.8104e-02 eta: 1 day, 10:39:33 time: 0.3580 data_time: 0.0043 loss: 2.0217 03/03 15:15:57 - mmengine - INFO - Epoch(train) [32][ 600/5005] lr: 7.8104e-02 eta: 1 day, 10:38:55 time: 0.3853 data_time: 0.0043 loss: 2.0929 03/03 15:16:32 - mmengine - INFO - Epoch(train) [32][ 700/5005] lr: 7.8104e-02 eta: 1 day, 10:38:17 time: 0.3574 data_time: 0.0045 loss: 1.8837 03/03 15:17:08 - mmengine - INFO - Epoch(train) [32][ 800/5005] lr: 7.8104e-02 eta: 1 day, 10:37:39 time: 0.3431 data_time: 0.0043 loss: 1.8153 03/03 15:17:24 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 15:17:43 - mmengine - INFO - Epoch(train) [32][ 900/5005] lr: 7.8104e-02 eta: 1 day, 10:37:01 time: 0.3589 data_time: 0.0042 loss: 2.0139 03/03 15:18:18 - mmengine - INFO - Epoch(train) [32][1000/5005] lr: 7.8104e-02 eta: 1 day, 10:36:22 time: 0.3732 data_time: 0.0045 loss: 2.2513 03/03 15:18:54 - mmengine - INFO - Epoch(train) [32][1100/5005] lr: 7.8104e-02 eta: 1 day, 10:35:44 time: 0.3464 data_time: 0.0043 loss: 1.9986 03/03 15:19:28 - mmengine - INFO - Epoch(train) [32][1200/5005] lr: 7.8104e-02 eta: 1 day, 10:35:05 time: 0.3428 data_time: 0.0044 loss: 2.1912 03/03 15:20:04 - mmengine - INFO - Epoch(train) [32][1300/5005] lr: 7.8104e-02 eta: 1 day, 10:34:27 time: 0.3458 data_time: 0.0045 loss: 2.0679 03/03 15:20:40 - mmengine - INFO - Epoch(train) [32][1400/5005] lr: 7.8104e-02 eta: 1 day, 10:33:50 time: 0.3616 data_time: 0.0044 loss: 2.0388 03/03 15:21:14 - mmengine - INFO - Epoch(train) [32][1500/5005] lr: 7.8104e-02 eta: 1 day, 10:33:10 time: 0.3470 data_time: 0.0043 loss: 1.9152 03/03 15:21:50 - mmengine - INFO - Epoch(train) [32][1600/5005] lr: 7.8104e-02 eta: 1 day, 10:32:32 time: 0.3428 data_time: 0.0043 loss: 2.0279 03/03 15:22:25 - mmengine - INFO - Epoch(train) [32][1700/5005] lr: 7.8104e-02 eta: 1 day, 10:31:54 time: 0.3514 data_time: 0.0047 loss: 1.9936 03/03 15:23:00 - mmengine - INFO - Epoch(train) [32][1800/5005] lr: 7.8104e-02 eta: 1 day, 10:31:15 time: 0.3532 data_time: 0.0043 loss: 2.1712 03/03 15:23:16 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 15:23:35 - mmengine - INFO - Epoch(train) [32][1900/5005] lr: 7.8104e-02 eta: 1 day, 10:30:36 time: 0.3416 data_time: 0.0047 loss: 2.1474 03/03 15:24:10 - mmengine - INFO - Epoch(train) [32][2000/5005] lr: 7.8104e-02 eta: 1 day, 10:29:58 time: 0.3417 data_time: 0.0042 loss: 2.2228 03/03 15:24:46 - mmengine - INFO - Epoch(train) [32][2100/5005] lr: 7.8104e-02 eta: 1 day, 10:29:20 time: 0.3483 data_time: 0.0042 loss: 2.0082 03/03 15:25:22 - mmengine - INFO - Epoch(train) [32][2200/5005] lr: 7.8104e-02 eta: 1 day, 10:28:43 time: 0.3622 data_time: 0.0043 loss: 2.0066 03/03 15:25:56 - mmengine - INFO - Epoch(train) [32][2300/5005] lr: 7.8104e-02 eta: 1 day, 10:28:04 time: 0.3450 data_time: 0.0044 loss: 2.3330 03/03 15:26:32 - mmengine - INFO - Epoch(train) [32][2400/5005] lr: 7.8104e-02 eta: 1 day, 10:27:26 time: 0.3440 data_time: 0.0044 loss: 1.9622 03/03 15:27:07 - mmengine - INFO - Epoch(train) [32][2500/5005] lr: 7.8104e-02 eta: 1 day, 10:26:47 time: 0.3843 data_time: 0.0042 loss: 2.2069 03/03 15:27:42 - mmengine - INFO - Epoch(train) [32][2600/5005] lr: 7.8104e-02 eta: 1 day, 10:26:08 time: 0.3470 data_time: 0.0046 loss: 2.0286 03/03 15:28:17 - mmengine - INFO - Epoch(train) [32][2700/5005] lr: 7.8104e-02 eta: 1 day, 10:25:30 time: 0.3497 data_time: 0.0045 loss: 2.0386 03/03 15:28:53 - mmengine - INFO - Epoch(train) [32][2800/5005] lr: 7.8104e-02 eta: 1 day, 10:24:52 time: 0.3487 data_time: 0.0043 loss: 2.0508 03/03 15:29:09 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 15:29:28 - mmengine - INFO - Epoch(train) [32][2900/5005] lr: 7.8104e-02 eta: 1 day, 10:24:14 time: 0.3529 data_time: 0.0043 loss: 2.1371 03/03 15:30:04 - mmengine - INFO - Epoch(train) [32][3000/5005] lr: 7.8104e-02 eta: 1 day, 10:23:37 time: 0.3628 data_time: 0.0046 loss: 2.1308 03/03 15:30:38 - mmengine - INFO - Epoch(train) [32][3100/5005] lr: 7.8104e-02 eta: 1 day, 10:22:57 time: 0.3504 data_time: 0.0043 loss: 2.1047 03/03 15:31:14 - mmengine - INFO - Epoch(train) [32][3200/5005] lr: 7.8104e-02 eta: 1 day, 10:22:20 time: 0.3472 data_time: 0.0045 loss: 2.0188 03/03 15:31:49 - mmengine - INFO - Epoch(train) [32][3300/5005] lr: 7.8104e-02 eta: 1 day, 10:21:42 time: 0.3713 data_time: 0.0046 loss: 1.9091 03/03 15:32:24 - mmengine - INFO - Epoch(train) [32][3400/5005] lr: 7.8104e-02 eta: 1 day, 10:21:02 time: 0.3499 data_time: 0.0043 loss: 2.0704 03/03 15:32:59 - mmengine - INFO - Epoch(train) [32][3500/5005] lr: 7.8104e-02 eta: 1 day, 10:20:24 time: 0.3512 data_time: 0.0044 loss: 2.2283 03/03 15:33:34 - mmengine - INFO - Epoch(train) [32][3600/5005] lr: 7.8104e-02 eta: 1 day, 10:19:45 time: 0.3508 data_time: 0.0042 loss: 1.9194 03/03 15:34:10 - mmengine - INFO - Epoch(train) [32][3700/5005] lr: 7.8104e-02 eta: 1 day, 10:19:08 time: 0.3455 data_time: 0.0041 loss: 2.1791 03/03 15:34:45 - mmengine - INFO - Epoch(train) [32][3800/5005] lr: 7.8104e-02 eta: 1 day, 10:18:30 time: 0.3417 data_time: 0.0044 loss: 2.1404 03/03 15:35:01 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 15:35:20 - mmengine - INFO - Epoch(train) [32][3900/5005] lr: 7.8104e-02 eta: 1 day, 10:17:50 time: 0.3472 data_time: 0.0043 loss: 2.0045 03/03 15:35:55 - mmengine - INFO - Epoch(train) [32][4000/5005] lr: 7.8104e-02 eta: 1 day, 10:17:13 time: 0.3388 data_time: 0.0043 loss: 2.1317 03/03 15:36:31 - mmengine - INFO - Epoch(train) [32][4100/5005] lr: 7.8104e-02 eta: 1 day, 10:16:35 time: 0.3429 data_time: 0.0043 loss: 2.0563 03/03 15:37:06 - mmengine - INFO - Epoch(train) [32][4200/5005] lr: 7.8104e-02 eta: 1 day, 10:15:56 time: 0.3462 data_time: 0.0044 loss: 2.0404 03/03 15:37:41 - mmengine - INFO - Epoch(train) [32][4300/5005] lr: 7.8104e-02 eta: 1 day, 10:15:18 time: 0.3401 data_time: 0.0043 loss: 1.9028 03/03 15:38:16 - mmengine - INFO - Epoch(train) [32][4400/5005] lr: 7.8104e-02 eta: 1 day, 10:14:39 time: 0.3714 data_time: 0.0043 loss: 2.1462 03/03 15:38:51 - mmengine - INFO - Epoch(train) [32][4500/5005] lr: 7.8104e-02 eta: 1 day, 10:14:00 time: 0.3488 data_time: 0.0043 loss: 1.9571 03/03 15:39:27 - mmengine - INFO - Epoch(train) [32][4600/5005] lr: 7.8104e-02 eta: 1 day, 10:13:23 time: 0.3425 data_time: 0.0045 loss: 1.8522 03/03 15:40:01 - mmengine - INFO - Epoch(train) [32][4700/5005] lr: 7.8104e-02 eta: 1 day, 10:12:43 time: 0.3537 data_time: 0.0043 loss: 2.0567 03/03 15:40:37 - mmengine - INFO - Epoch(train) [32][4800/5005] lr: 7.8104e-02 eta: 1 day, 10:12:06 time: 0.3441 data_time: 0.0047 loss: 1.9089 03/03 15:40:52 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 15:41:14 - mmengine - INFO - Epoch(train) [32][4900/5005] lr: 7.8104e-02 eta: 1 day, 10:11:31 time: 0.4096 data_time: 0.0047 loss: 2.0427 03/03 15:41:56 - mmengine - INFO - Epoch(train) [32][5000/5005] lr: 7.8104e-02 eta: 1 day, 10:11:07 time: 0.3951 data_time: 0.0044 loss: 2.1334 03/03 15:41:58 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 15:42:01 - mmengine - INFO - Saving checkpoint at 32 epochs 03/03 15:42:18 - mmengine - INFO - Epoch(val) [32][100/196] eta: 0:00:14 time: 0.0467 data_time: 0.0003 03/03 15:42:34 - mmengine - INFO - Epoch(val) [32][196/196] accuracy/top1: 56.1900 accuracy/top5: 80.6960 03/03 15:43:18 - mmengine - INFO - Epoch(train) [33][ 100/5005] lr: 7.6791e-02 eta: 1 day, 10:10:46 time: 0.3406 data_time: 0.0045 loss: 2.1570 03/03 15:43:54 - mmengine - INFO - Epoch(train) [33][ 200/5005] lr: 7.6791e-02 eta: 1 day, 10:10:09 time: 0.3538 data_time: 0.0045 loss: 1.8971 03/03 15:44:29 - mmengine - INFO - Epoch(train) [33][ 300/5005] lr: 7.6791e-02 eta: 1 day, 10:09:30 time: 0.3553 data_time: 0.0043 loss: 1.9346 03/03 15:45:04 - mmengine - INFO - Epoch(train) [33][ 400/5005] lr: 7.6791e-02 eta: 1 day, 10:08:52 time: 0.3469 data_time: 0.0050 loss: 2.0345 03/03 15:45:40 - mmengine - INFO - Epoch(train) [33][ 500/5005] lr: 7.6791e-02 eta: 1 day, 10:08:15 time: 0.4041 data_time: 0.0044 loss: 1.9331 03/03 15:46:15 - mmengine - INFO - Epoch(train) [33][ 600/5005] lr: 7.6791e-02 eta: 1 day, 10:07:36 time: 0.3484 data_time: 0.0045 loss: 2.0995 03/03 15:46:50 - mmengine - INFO - Epoch(train) [33][ 700/5005] lr: 7.6791e-02 eta: 1 day, 10:06:59 time: 0.3480 data_time: 0.0048 loss: 2.1058 03/03 15:47:25 - mmengine - INFO - Epoch(train) [33][ 800/5005] lr: 7.6791e-02 eta: 1 day, 10:06:20 time: 0.3672 data_time: 0.0043 loss: 2.0620 03/03 15:47:40 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 15:48:01 - mmengine - INFO - Epoch(train) [33][ 900/5005] lr: 7.6791e-02 eta: 1 day, 10:05:42 time: 0.3506 data_time: 0.0049 loss: 2.0677 03/03 15:48:36 - mmengine - INFO - Epoch(train) [33][1000/5005] lr: 7.6791e-02 eta: 1 day, 10:05:04 time: 0.3723 data_time: 0.0042 loss: 2.0901 03/03 15:49:11 - mmengine - INFO - Epoch(train) [33][1100/5005] lr: 7.6791e-02 eta: 1 day, 10:04:25 time: 0.3573 data_time: 0.0042 loss: 2.0851 03/03 15:49:47 - mmengine - INFO - Epoch(train) [33][1200/5005] lr: 7.6791e-02 eta: 1 day, 10:03:47 time: 0.3444 data_time: 0.0045 loss: 2.0334 03/03 15:50:22 - mmengine - INFO - Epoch(train) [33][1300/5005] lr: 7.6791e-02 eta: 1 day, 10:03:09 time: 0.3818 data_time: 0.0045 loss: 2.2519 03/03 15:50:57 - mmengine - INFO - Epoch(train) [33][1400/5005] lr: 7.6791e-02 eta: 1 day, 10:02:30 time: 0.3419 data_time: 0.0045 loss: 1.8821 03/03 15:51:32 - mmengine - INFO - Epoch(train) [33][1500/5005] lr: 7.6791e-02 eta: 1 day, 10:01:53 time: 0.3423 data_time: 0.0045 loss: 1.9472 03/03 15:52:07 - mmengine - INFO - Epoch(train) [33][1600/5005] lr: 7.6791e-02 eta: 1 day, 10:01:14 time: 0.3461 data_time: 0.0043 loss: 2.0575 03/03 15:52:43 - mmengine - INFO - Epoch(train) [33][1700/5005] lr: 7.6791e-02 eta: 1 day, 10:00:36 time: 0.3450 data_time: 0.0044 loss: 1.8294 03/03 15:53:18 - mmengine - INFO - Epoch(train) [33][1800/5005] lr: 7.6791e-02 eta: 1 day, 9:59:59 time: 0.3495 data_time: 0.0044 loss: 1.9618 03/03 15:53:32 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 15:53:53 - mmengine - INFO - Epoch(train) [33][1900/5005] lr: 7.6791e-02 eta: 1 day, 9:59:20 time: 0.3627 data_time: 0.0044 loss: 2.0401 03/03 15:54:29 - mmengine - INFO - Epoch(train) [33][2000/5005] lr: 7.6791e-02 eta: 1 day, 9:58:42 time: 0.3475 data_time: 0.0045 loss: 1.8715 03/03 15:55:04 - mmengine - INFO - Epoch(train) [33][2100/5005] lr: 7.6791e-02 eta: 1 day, 9:58:04 time: 0.3566 data_time: 0.0045 loss: 2.0330 03/03 15:55:39 - mmengine - INFO - Epoch(train) [33][2200/5005] lr: 7.6791e-02 eta: 1 day, 9:57:26 time: 0.3443 data_time: 0.0045 loss: 2.0317 03/03 15:56:15 - mmengine - INFO - Epoch(train) [33][2300/5005] lr: 7.6791e-02 eta: 1 day, 9:56:48 time: 0.3431 data_time: 0.0044 loss: 1.9589 03/03 15:56:50 - mmengine - INFO - Epoch(train) [33][2400/5005] lr: 7.6791e-02 eta: 1 day, 9:56:10 time: 0.3565 data_time: 0.0044 loss: 1.9326 03/03 15:57:25 - mmengine - INFO - Epoch(train) [33][2500/5005] lr: 7.6791e-02 eta: 1 day, 9:55:32 time: 0.3405 data_time: 0.0042 loss: 1.9900 03/03 15:58:00 - mmengine - INFO - Epoch(train) [33][2600/5005] lr: 7.6791e-02 eta: 1 day, 9:54:54 time: 0.3664 data_time: 0.0043 loss: 1.9070 03/03 15:58:35 - mmengine - INFO - Epoch(train) [33][2700/5005] lr: 7.6791e-02 eta: 1 day, 9:54:15 time: 0.3442 data_time: 0.0044 loss: 1.9649 03/03 15:59:11 - mmengine - INFO - Epoch(train) [33][2800/5005] lr: 7.6791e-02 eta: 1 day, 9:53:37 time: 0.3562 data_time: 0.0042 loss: 2.0783 03/03 15:59:25 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 15:59:46 - mmengine - INFO - Epoch(train) [33][2900/5005] lr: 7.6791e-02 eta: 1 day, 9:52:59 time: 0.3510 data_time: 0.0044 loss: 2.1207 03/03 16:00:21 - mmengine - INFO - Epoch(train) [33][3000/5005] lr: 7.6791e-02 eta: 1 day, 9:52:21 time: 0.3753 data_time: 0.0044 loss: 2.0792 03/03 16:00:56 - mmengine - INFO - Epoch(train) [33][3100/5005] lr: 7.6791e-02 eta: 1 day, 9:51:42 time: 0.3504 data_time: 0.0044 loss: 2.1092 03/03 16:01:32 - mmengine - INFO - Epoch(train) [33][3200/5005] lr: 7.6791e-02 eta: 1 day, 9:51:04 time: 0.3694 data_time: 0.0044 loss: 1.9182 03/03 16:02:06 - mmengine - INFO - Epoch(train) [33][3300/5005] lr: 7.6791e-02 eta: 1 day, 9:50:25 time: 0.3322 data_time: 0.0042 loss: 2.1445 03/03 16:02:42 - mmengine - INFO - Epoch(train) [33][3400/5005] lr: 7.6791e-02 eta: 1 day, 9:49:48 time: 0.3681 data_time: 0.0046 loss: 2.0607 03/03 16:03:17 - mmengine - INFO - Epoch(train) [33][3500/5005] lr: 7.6791e-02 eta: 1 day, 9:49:10 time: 0.3517 data_time: 0.0043 loss: 2.2402 03/03 16:03:52 - mmengine - INFO - Epoch(train) [33][3600/5005] lr: 7.6791e-02 eta: 1 day, 9:48:31 time: 0.3542 data_time: 0.0046 loss: 1.8172 03/03 16:04:27 - mmengine - INFO - Epoch(train) [33][3700/5005] lr: 7.6791e-02 eta: 1 day, 9:47:53 time: 0.3455 data_time: 0.0043 loss: 2.0898 03/03 16:05:02 - mmengine - INFO - Epoch(train) [33][3800/5005] lr: 7.6791e-02 eta: 1 day, 9:47:14 time: 0.3450 data_time: 0.0045 loss: 2.0026 03/03 16:05:17 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 16:05:38 - mmengine - INFO - Epoch(train) [33][3900/5005] lr: 7.6791e-02 eta: 1 day, 9:46:36 time: 0.3546 data_time: 0.0044 loss: 2.0452 03/03 16:06:13 - mmengine - INFO - Epoch(train) [33][4000/5005] lr: 7.6791e-02 eta: 1 day, 9:45:58 time: 0.3422 data_time: 0.0043 loss: 2.0626 03/03 16:06:48 - mmengine - INFO - Epoch(train) [33][4100/5005] lr: 7.6791e-02 eta: 1 day, 9:45:20 time: 0.3407 data_time: 0.0044 loss: 1.9475 03/03 16:07:23 - mmengine - INFO - Epoch(train) [33][4200/5005] lr: 7.6791e-02 eta: 1 day, 9:44:42 time: 0.3432 data_time: 0.0043 loss: 2.0413 03/03 16:07:58 - mmengine - INFO - Epoch(train) [33][4300/5005] lr: 7.6791e-02 eta: 1 day, 9:44:04 time: 0.3506 data_time: 0.0045 loss: 2.0763 03/03 16:08:34 - mmengine - INFO - Epoch(train) [33][4400/5005] lr: 7.6791e-02 eta: 1 day, 9:43:26 time: 0.3452 data_time: 0.0043 loss: 1.7780 03/03 16:09:09 - mmengine - INFO - Epoch(train) [33][4500/5005] lr: 7.6791e-02 eta: 1 day, 9:42:48 time: 0.3373 data_time: 0.0043 loss: 1.9322 03/03 16:09:44 - mmengine - INFO - Epoch(train) [33][4600/5005] lr: 7.6791e-02 eta: 1 day, 9:42:10 time: 0.3455 data_time: 0.0043 loss: 2.0715 03/03 16:10:19 - mmengine - INFO - Epoch(train) [33][4700/5005] lr: 7.6791e-02 eta: 1 day, 9:41:31 time: 0.3473 data_time: 0.0045 loss: 2.0822 03/03 16:10:55 - mmengine - INFO - Epoch(train) [33][4800/5005] lr: 7.6791e-02 eta: 1 day, 9:40:53 time: 0.3599 data_time: 0.0044 loss: 1.8789 03/03 16:11:08 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 16:11:31 - mmengine - INFO - Epoch(train) [33][4900/5005] lr: 7.6791e-02 eta: 1 day, 9:40:17 time: 0.4037 data_time: 0.0046 loss: 2.1520 03/03 16:12:13 - mmengine - INFO - Epoch(train) [33][5000/5005] lr: 7.6791e-02 eta: 1 day, 9:39:52 time: 0.4417 data_time: 0.0052 loss: 1.8523 03/03 16:12:15 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 16:12:18 - mmengine - INFO - Saving checkpoint at 33 epochs 03/03 16:12:34 - mmengine - INFO - Epoch(val) [33][100/196] eta: 0:00:14 time: 0.0420 data_time: 0.0003 03/03 16:12:51 - mmengine - INFO - Epoch(val) [33][196/196] accuracy/top1: 58.4680 accuracy/top5: 82.7000 03/03 16:13:35 - mmengine - INFO - Epoch(train) [34][ 100/5005] lr: 7.5452e-02 eta: 1 day, 9:39:31 time: 0.3543 data_time: 0.0044 loss: 1.9870 03/03 16:14:10 - mmengine - INFO - Epoch(train) [34][ 200/5005] lr: 7.5452e-02 eta: 1 day, 9:38:53 time: 0.3454 data_time: 0.0043 loss: 2.0387 03/03 16:14:45 - mmengine - INFO - Epoch(train) [34][ 300/5005] lr: 7.5452e-02 eta: 1 day, 9:38:15 time: 0.3515 data_time: 0.0042 loss: 1.9539 03/03 16:15:21 - mmengine - INFO - Epoch(train) [34][ 400/5005] lr: 7.5452e-02 eta: 1 day, 9:37:38 time: 0.3457 data_time: 0.0046 loss: 2.0796 03/03 16:15:57 - mmengine - INFO - Epoch(train) [34][ 500/5005] lr: 7.5452e-02 eta: 1 day, 9:37:00 time: 0.3676 data_time: 0.0048 loss: 1.8395 03/03 16:16:32 - mmengine - INFO - Epoch(train) [34][ 600/5005] lr: 7.5452e-02 eta: 1 day, 9:36:23 time: 0.3484 data_time: 0.0043 loss: 1.7742 03/03 16:17:08 - mmengine - INFO - Epoch(train) [34][ 700/5005] lr: 7.5452e-02 eta: 1 day, 9:35:46 time: 0.3622 data_time: 0.0045 loss: 2.0759 03/03 16:17:43 - mmengine - INFO - Epoch(train) [34][ 800/5005] lr: 7.5452e-02 eta: 1 day, 9:35:07 time: 0.3674 data_time: 0.0043 loss: 2.0601 03/03 16:17:55 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 16:18:18 - mmengine - INFO - Epoch(train) [34][ 900/5005] lr: 7.5452e-02 eta: 1 day, 9:34:29 time: 0.3429 data_time: 0.0043 loss: 2.0645 03/03 16:18:54 - mmengine - INFO - Epoch(train) [34][1000/5005] lr: 7.5452e-02 eta: 1 day, 9:33:52 time: 0.3805 data_time: 0.0044 loss: 2.0419 03/03 16:19:29 - mmengine - INFO - Epoch(train) [34][1100/5005] lr: 7.5452e-02 eta: 1 day, 9:33:14 time: 0.3464 data_time: 0.0044 loss: 1.9188 03/03 16:20:05 - mmengine - INFO - Epoch(train) [34][1200/5005] lr: 7.5452e-02 eta: 1 day, 9:32:37 time: 0.3478 data_time: 0.0045 loss: 2.0472 03/03 16:20:40 - mmengine - INFO - Epoch(train) [34][1300/5005] lr: 7.5452e-02 eta: 1 day, 9:31:58 time: 0.3426 data_time: 0.0046 loss: 2.0121 03/03 16:21:15 - mmengine - INFO - Epoch(train) [34][1400/5005] lr: 7.5452e-02 eta: 1 day, 9:31:20 time: 0.3361 data_time: 0.0043 loss: 2.1648 03/03 16:21:51 - mmengine - INFO - Epoch(train) [34][1500/5005] lr: 7.5452e-02 eta: 1 day, 9:30:43 time: 0.3658 data_time: 0.0042 loss: 2.2811 03/03 16:22:26 - mmengine - INFO - Epoch(train) [34][1600/5005] lr: 7.5452e-02 eta: 1 day, 9:30:05 time: 0.3653 data_time: 0.0044 loss: 2.3268 03/03 16:23:02 - mmengine - INFO - Epoch(train) [34][1700/5005] lr: 7.5452e-02 eta: 1 day, 9:29:27 time: 0.3582 data_time: 0.0045 loss: 2.1241 03/03 16:23:37 - mmengine - INFO - Epoch(train) [34][1800/5005] lr: 7.5452e-02 eta: 1 day, 9:28:49 time: 0.3603 data_time: 0.0048 loss: 2.0232 03/03 16:23:49 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 16:24:12 - mmengine - INFO - Epoch(train) [34][1900/5005] lr: 7.5452e-02 eta: 1 day, 9:28:11 time: 0.3452 data_time: 0.0044 loss: 2.2037 03/03 16:24:47 - mmengine - INFO - Epoch(train) [34][2000/5005] lr: 7.5452e-02 eta: 1 day, 9:27:33 time: 0.3429 data_time: 0.0046 loss: 1.9547 03/03 16:25:22 - mmengine - INFO - Epoch(train) [34][2100/5005] lr: 7.5452e-02 eta: 1 day, 9:26:55 time: 0.3415 data_time: 0.0045 loss: 2.0840 03/03 16:25:58 - mmengine - INFO - Epoch(train) [34][2200/5005] lr: 7.5452e-02 eta: 1 day, 9:26:17 time: 0.3445 data_time: 0.0046 loss: 2.0820 03/03 16:26:33 - mmengine - INFO - Epoch(train) [34][2300/5005] lr: 7.5452e-02 eta: 1 day, 9:25:39 time: 0.3500 data_time: 0.0045 loss: 2.1204 03/03 16:27:08 - mmengine - INFO - Epoch(train) [34][2400/5005] lr: 7.5452e-02 eta: 1 day, 9:25:01 time: 0.3446 data_time: 0.0045 loss: 1.9389 03/03 16:27:43 - mmengine - INFO - Epoch(train) [34][2500/5005] lr: 7.5452e-02 eta: 1 day, 9:24:23 time: 0.3429 data_time: 0.0042 loss: 1.8443 03/03 16:28:19 - mmengine - INFO - Epoch(train) [34][2600/5005] lr: 7.5452e-02 eta: 1 day, 9:23:45 time: 0.3460 data_time: 0.0043 loss: 1.9729 03/03 16:28:54 - mmengine - INFO - Epoch(train) [34][2700/5005] lr: 7.5452e-02 eta: 1 day, 9:23:07 time: 0.3425 data_time: 0.0044 loss: 2.0501 03/03 16:29:30 - mmengine - INFO - Epoch(train) [34][2800/5005] lr: 7.5452e-02 eta: 1 day, 9:22:30 time: 0.3507 data_time: 0.0045 loss: 1.7585 03/03 16:29:42 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 16:30:05 - mmengine - INFO - Epoch(train) [34][2900/5005] lr: 7.5452e-02 eta: 1 day, 9:21:52 time: 0.3400 data_time: 0.0045 loss: 1.9512 03/03 16:30:40 - mmengine - INFO - Epoch(train) [34][3000/5005] lr: 7.5452e-02 eta: 1 day, 9:21:13 time: 0.3471 data_time: 0.0044 loss: 2.0366 03/03 16:31:16 - mmengine - INFO - Epoch(train) [34][3100/5005] lr: 7.5452e-02 eta: 1 day, 9:20:36 time: 0.3914 data_time: 0.0043 loss: 2.1299 03/03 16:31:51 - mmengine - INFO - Epoch(train) [34][3200/5005] lr: 7.5452e-02 eta: 1 day, 9:19:58 time: 0.3649 data_time: 0.0044 loss: 2.0325 03/03 16:32:26 - mmengine - INFO - Epoch(train) [34][3300/5005] lr: 7.5452e-02 eta: 1 day, 9:19:20 time: 0.3544 data_time: 0.0046 loss: 2.1248 03/03 16:33:01 - mmengine - INFO - Epoch(train) [34][3400/5005] lr: 7.5452e-02 eta: 1 day, 9:18:42 time: 0.3476 data_time: 0.0045 loss: 1.9615 03/03 16:33:37 - mmengine - INFO - Epoch(train) [34][3500/5005] lr: 7.5452e-02 eta: 1 day, 9:18:04 time: 0.3450 data_time: 0.0044 loss: 2.1020 03/03 16:34:12 - mmengine - INFO - Epoch(train) [34][3600/5005] lr: 7.5452e-02 eta: 1 day, 9:17:27 time: 0.3513 data_time: 0.0043 loss: 1.8394 03/03 16:34:47 - mmengine - INFO - Epoch(train) [34][3700/5005] lr: 7.5452e-02 eta: 1 day, 9:16:49 time: 0.3401 data_time: 0.0044 loss: 1.9818 03/03 16:35:23 - mmengine - INFO - Epoch(train) [34][3800/5005] lr: 7.5452e-02 eta: 1 day, 9:16:11 time: 0.3468 data_time: 0.0042 loss: 1.9554 03/03 16:35:35 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 16:35:58 - mmengine - INFO - Epoch(train) [34][3900/5005] lr: 7.5452e-02 eta: 1 day, 9:15:33 time: 0.3466 data_time: 0.0045 loss: 2.1551 03/03 16:36:33 - mmengine - INFO - Epoch(train) [34][4000/5005] lr: 7.5452e-02 eta: 1 day, 9:14:55 time: 0.3520 data_time: 0.0051 loss: 2.3462 03/03 16:37:09 - mmengine - INFO - Epoch(train) [34][4100/5005] lr: 7.5452e-02 eta: 1 day, 9:14:18 time: 0.3472 data_time: 0.0046 loss: 2.0458 03/03 16:37:44 - mmengine - INFO - Epoch(train) [34][4200/5005] lr: 7.5452e-02 eta: 1 day, 9:13:39 time: 0.3482 data_time: 0.0043 loss: 2.1541 03/03 16:38:19 - mmengine - INFO - Epoch(train) [34][4300/5005] lr: 7.5452e-02 eta: 1 day, 9:13:01 time: 0.3356 data_time: 0.0045 loss: 2.0105 03/03 16:38:54 - mmengine - INFO - Epoch(train) [34][4400/5005] lr: 7.5452e-02 eta: 1 day, 9:12:23 time: 0.3500 data_time: 0.0044 loss: 2.1623 03/03 16:39:29 - mmengine - INFO - Epoch(train) [34][4500/5005] lr: 7.5452e-02 eta: 1 day, 9:11:45 time: 0.3576 data_time: 0.0044 loss: 1.9806 03/03 16:40:05 - mmengine - INFO - Epoch(train) [34][4600/5005] lr: 7.5452e-02 eta: 1 day, 9:11:07 time: 0.3436 data_time: 0.0045 loss: 1.9362 03/03 16:40:40 - mmengine - INFO - Epoch(train) [34][4700/5005] lr: 7.5452e-02 eta: 1 day, 9:10:29 time: 0.3571 data_time: 0.0045 loss: 2.0426 03/03 16:41:15 - mmengine - INFO - Epoch(train) [34][4800/5005] lr: 7.5452e-02 eta: 1 day, 9:09:51 time: 0.3612 data_time: 0.0045 loss: 2.1490 03/03 16:41:27 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 16:41:51 - mmengine - INFO - Epoch(train) [34][4900/5005] lr: 7.5452e-02 eta: 1 day, 9:09:15 time: 0.3859 data_time: 0.0044 loss: 2.0359 03/03 16:42:33 - mmengine - INFO - Epoch(train) [34][5000/5005] lr: 7.5452e-02 eta: 1 day, 9:08:50 time: 0.4370 data_time: 0.0047 loss: 1.9003 03/03 16:42:36 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 16:42:39 - mmengine - INFO - Saving checkpoint at 34 epochs 03/03 16:42:56 - mmengine - INFO - Epoch(val) [34][100/196] eta: 0:00:14 time: 0.0480 data_time: 0.0003 03/03 16:43:12 - mmengine - INFO - Epoch(val) [34][196/196] accuracy/top1: 58.8960 accuracy/top5: 83.1000 03/03 16:43:56 - mmengine - INFO - Epoch(train) [35][ 100/5005] lr: 7.4088e-02 eta: 1 day, 9:08:29 time: 0.3543 data_time: 0.0047 loss: 1.9051 03/03 16:44:32 - mmengine - INFO - Epoch(train) [35][ 200/5005] lr: 7.4088e-02 eta: 1 day, 9:07:52 time: 0.3428 data_time: 0.0046 loss: 2.0992 03/03 16:45:07 - mmengine - INFO - Epoch(train) [35][ 300/5005] lr: 7.4088e-02 eta: 1 day, 9:07:13 time: 0.3417 data_time: 0.0046 loss: 2.1229 03/03 16:45:43 - mmengine - INFO - Epoch(train) [35][ 400/5005] lr: 7.4088e-02 eta: 1 day, 9:06:37 time: 0.3578 data_time: 0.0045 loss: 1.9811 03/03 16:46:18 - mmengine - INFO - Epoch(train) [35][ 500/5005] lr: 7.4088e-02 eta: 1 day, 9:05:59 time: 0.3673 data_time: 0.0045 loss: 1.8889 03/03 16:46:53 - mmengine - INFO - Epoch(train) [35][ 600/5005] lr: 7.4088e-02 eta: 1 day, 9:05:22 time: 0.3411 data_time: 0.0046 loss: 2.0169 03/03 16:47:29 - mmengine - INFO - Epoch(train) [35][ 700/5005] lr: 7.4088e-02 eta: 1 day, 9:04:44 time: 0.3446 data_time: 0.0044 loss: 2.1080 03/03 16:48:04 - mmengine - INFO - Epoch(train) [35][ 800/5005] lr: 7.4088e-02 eta: 1 day, 9:04:06 time: 0.3612 data_time: 0.0046 loss: 1.8970 03/03 16:48:15 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 16:48:40 - mmengine - INFO - Epoch(train) [35][ 900/5005] lr: 7.4088e-02 eta: 1 day, 9:03:29 time: 0.3460 data_time: 0.0045 loss: 1.9093 03/03 16:49:16 - mmengine - INFO - Epoch(train) [35][1000/5005] lr: 7.4088e-02 eta: 1 day, 9:02:52 time: 0.3666 data_time: 0.0048 loss: 2.0343 03/03 16:49:50 - mmengine - INFO - Epoch(train) [35][1100/5005] lr: 7.4088e-02 eta: 1 day, 9:02:13 time: 0.3535 data_time: 0.0046 loss: 1.7732 03/03 16:50:26 - mmengine - INFO - Epoch(train) [35][1200/5005] lr: 7.4088e-02 eta: 1 day, 9:01:36 time: 0.3557 data_time: 0.0045 loss: 1.9168 03/03 16:51:01 - mmengine - INFO - Epoch(train) [35][1300/5005] lr: 7.4088e-02 eta: 1 day, 9:00:58 time: 0.3708 data_time: 0.0044 loss: 1.9194 03/03 16:51:36 - mmengine - INFO - Epoch(train) [35][1400/5005] lr: 7.4088e-02 eta: 1 day, 9:00:20 time: 0.3402 data_time: 0.0046 loss: 2.3328 03/03 16:52:12 - mmengine - INFO - Epoch(train) [35][1500/5005] lr: 7.4088e-02 eta: 1 day, 8:59:43 time: 0.3500 data_time: 0.0045 loss: 1.8023 03/03 16:52:47 - mmengine - INFO - Epoch(train) [35][1600/5005] lr: 7.4088e-02 eta: 1 day, 8:59:04 time: 0.3472 data_time: 0.0043 loss: 2.0628 03/03 16:53:22 - mmengine - INFO - Epoch(train) [35][1700/5005] lr: 7.4088e-02 eta: 1 day, 8:58:26 time: 0.3427 data_time: 0.0047 loss: 2.0376 03/03 16:53:57 - mmengine - INFO - Epoch(train) [35][1800/5005] lr: 7.4088e-02 eta: 1 day, 8:57:48 time: 0.3557 data_time: 0.0046 loss: 2.0740 03/03 16:54:08 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 16:54:33 - mmengine - INFO - Epoch(train) [35][1900/5005] lr: 7.4088e-02 eta: 1 day, 8:57:10 time: 0.3494 data_time: 0.0043 loss: 2.0477 03/03 16:55:08 - mmengine - INFO - Epoch(train) [35][2000/5005] lr: 7.4088e-02 eta: 1 day, 8:56:33 time: 0.3419 data_time: 0.0044 loss: 1.8721 03/03 16:55:43 - mmengine - INFO - Epoch(train) [35][2100/5005] lr: 7.4088e-02 eta: 1 day, 8:55:55 time: 0.3496 data_time: 0.0046 loss: 1.8348 03/03 16:56:19 - mmengine - INFO - Epoch(train) [35][2200/5005] lr: 7.4088e-02 eta: 1 day, 8:55:18 time: 0.3505 data_time: 0.0044 loss: 1.9287 03/03 16:56:54 - mmengine - INFO - Epoch(train) [35][2300/5005] lr: 7.4088e-02 eta: 1 day, 8:54:40 time: 0.3580 data_time: 0.0045 loss: 1.9988 03/03 16:57:30 - mmengine - INFO - Epoch(train) [35][2400/5005] lr: 7.4088e-02 eta: 1 day, 8:54:02 time: 0.3695 data_time: 0.0047 loss: 1.8810 03/03 16:58:05 - mmengine - INFO - Epoch(train) [35][2500/5005] lr: 7.4088e-02 eta: 1 day, 8:53:24 time: 0.3540 data_time: 0.0043 loss: 1.9399 03/03 16:58:40 - mmengine - INFO - Epoch(train) [35][2600/5005] lr: 7.4088e-02 eta: 1 day, 8:52:47 time: 0.3734 data_time: 0.0044 loss: 2.1537 03/03 16:59:16 - mmengine - INFO - Epoch(train) [35][2700/5005] lr: 7.4088e-02 eta: 1 day, 8:52:09 time: 0.3648 data_time: 0.0042 loss: 2.1454 03/03 16:59:51 - mmengine - INFO - Epoch(train) [35][2800/5005] lr: 7.4088e-02 eta: 1 day, 8:51:32 time: 0.3483 data_time: 0.0045 loss: 2.1493 03/03 17:00:02 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 17:00:26 - mmengine - INFO - Epoch(train) [35][2900/5005] lr: 7.4088e-02 eta: 1 day, 8:50:54 time: 0.3436 data_time: 0.0043 loss: 2.0154 03/03 17:01:01 - mmengine - INFO - Epoch(train) [35][3000/5005] lr: 7.4088e-02 eta: 1 day, 8:50:15 time: 0.3428 data_time: 0.0043 loss: 2.0186 03/03 17:01:37 - mmengine - INFO - Epoch(train) [35][3100/5005] lr: 7.4088e-02 eta: 1 day, 8:49:38 time: 0.3627 data_time: 0.0045 loss: 2.0101 03/03 17:02:12 - mmengine - INFO - Epoch(train) [35][3200/5005] lr: 7.4088e-02 eta: 1 day, 8:49:00 time: 0.3648 data_time: 0.0045 loss: 2.1235 03/03 17:02:47 - mmengine - INFO - Epoch(train) [35][3300/5005] lr: 7.4088e-02 eta: 1 day, 8:48:22 time: 0.3472 data_time: 0.0045 loss: 2.0369 03/03 17:03:22 - mmengine - INFO - Epoch(train) [35][3400/5005] lr: 7.4088e-02 eta: 1 day, 8:47:44 time: 0.3397 data_time: 0.0045 loss: 2.0461 03/03 17:03:57 - mmengine - INFO - Epoch(train) [35][3500/5005] lr: 7.4088e-02 eta: 1 day, 8:47:06 time: 0.3573 data_time: 0.0049 loss: 2.0739 03/03 17:04:33 - mmengine - INFO - Epoch(train) [35][3600/5005] lr: 7.4088e-02 eta: 1 day, 8:46:29 time: 0.3514 data_time: 0.0042 loss: 2.0659 03/03 17:05:08 - mmengine - INFO - Epoch(train) [35][3700/5005] lr: 7.4088e-02 eta: 1 day, 8:45:51 time: 0.3399 data_time: 0.0043 loss: 1.9845 03/03 17:05:43 - mmengine - INFO - Epoch(train) [35][3800/5005] lr: 7.4088e-02 eta: 1 day, 8:45:12 time: 0.3422 data_time: 0.0044 loss: 2.1983 03/03 17:05:54 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 17:06:19 - mmengine - INFO - Epoch(train) [35][3900/5005] lr: 7.4088e-02 eta: 1 day, 8:44:35 time: 0.3877 data_time: 0.0044 loss: 2.0515 03/03 17:06:54 - mmengine - INFO - Epoch(train) [35][4000/5005] lr: 7.4088e-02 eta: 1 day, 8:43:57 time: 0.3552 data_time: 0.0043 loss: 2.1105 03/03 17:07:29 - mmengine - INFO - Epoch(train) [35][4100/5005] lr: 7.4088e-02 eta: 1 day, 8:43:20 time: 0.3437 data_time: 0.0043 loss: 1.7968 03/03 17:08:05 - mmengine - INFO - Epoch(train) [35][4200/5005] lr: 7.4088e-02 eta: 1 day, 8:42:42 time: 0.3474 data_time: 0.0044 loss: 1.8792 03/03 17:08:40 - mmengine - INFO - Epoch(train) [35][4300/5005] lr: 7.4088e-02 eta: 1 day, 8:42:04 time: 0.3430 data_time: 0.0046 loss: 2.0062 03/03 17:09:16 - mmengine - INFO - Epoch(train) [35][4400/5005] lr: 7.4088e-02 eta: 1 day, 8:41:27 time: 0.3481 data_time: 0.0044 loss: 1.9810 03/03 17:09:51 - mmengine - INFO - Epoch(train) [35][4500/5005] lr: 7.4088e-02 eta: 1 day, 8:40:49 time: 0.3454 data_time: 0.0043 loss: 1.8953 03/03 17:10:26 - mmengine - INFO - Epoch(train) [35][4600/5005] lr: 7.4088e-02 eta: 1 day, 8:40:11 time: 0.3422 data_time: 0.0044 loss: 1.8658 03/03 17:11:02 - mmengine - INFO - Epoch(train) [35][4700/5005] lr: 7.4088e-02 eta: 1 day, 8:39:34 time: 0.3657 data_time: 0.0045 loss: 2.1300 03/03 17:11:36 - mmengine - INFO - Epoch(train) [35][4800/5005] lr: 7.4088e-02 eta: 1 day, 8:38:55 time: 0.3560 data_time: 0.0044 loss: 2.0226 03/03 17:11:47 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 17:12:13 - mmengine - INFO - Epoch(train) [35][4900/5005] lr: 7.4088e-02 eta: 1 day, 8:38:20 time: 0.4178 data_time: 0.0049 loss: 1.9077 03/03 17:12:55 - mmengine - INFO - Epoch(train) [35][5000/5005] lr: 7.4088e-02 eta: 1 day, 8:37:55 time: 0.4128 data_time: 0.0046 loss: 2.1600 03/03 17:12:57 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 17:13:00 - mmengine - INFO - Saving checkpoint at 35 epochs 03/03 17:13:16 - mmengine - INFO - Epoch(val) [35][100/196] eta: 0:00:14 time: 0.0456 data_time: 0.0003 03/03 17:13:33 - mmengine - INFO - Epoch(val) [35][196/196] accuracy/top1: 58.7160 accuracy/top5: 82.7440 03/03 17:14:17 - mmengine - INFO - Epoch(train) [36][ 100/5005] lr: 7.2700e-02 eta: 1 day, 8:37:32 time: 0.3670 data_time: 0.0045 loss: 1.8637 03/03 17:14:52 - mmengine - INFO - Epoch(train) [36][ 200/5005] lr: 7.2700e-02 eta: 1 day, 8:36:54 time: 0.3531 data_time: 0.0045 loss: 2.1353 03/03 17:15:28 - mmengine - INFO - Epoch(train) [36][ 300/5005] lr: 7.2700e-02 eta: 1 day, 8:36:17 time: 0.3568 data_time: 0.0045 loss: 1.8647 03/03 17:16:03 - mmengine - INFO - Epoch(train) [36][ 400/5005] lr: 7.2700e-02 eta: 1 day, 8:35:39 time: 0.3682 data_time: 0.0045 loss: 1.7505 03/03 17:16:38 - mmengine - INFO - Epoch(train) [36][ 500/5005] lr: 7.2700e-02 eta: 1 day, 8:35:01 time: 0.3824 data_time: 0.0045 loss: 1.8666 03/03 17:17:14 - mmengine - INFO - Epoch(train) [36][ 600/5005] lr: 7.2700e-02 eta: 1 day, 8:34:24 time: 0.3423 data_time: 0.0044 loss: 2.0680 03/03 17:17:49 - mmengine - INFO - Epoch(train) [36][ 700/5005] lr: 7.2700e-02 eta: 1 day, 8:33:46 time: 0.3594 data_time: 0.0044 loss: 2.0358 03/03 17:18:24 - mmengine - INFO - Epoch(train) [36][ 800/5005] lr: 7.2700e-02 eta: 1 day, 8:33:08 time: 0.3427 data_time: 0.0046 loss: 2.0195 03/03 17:18:33 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 17:19:00 - mmengine - INFO - Epoch(train) [36][ 900/5005] lr: 7.2700e-02 eta: 1 day, 8:32:32 time: 0.3576 data_time: 0.0045 loss: 1.9122 03/03 17:19:35 - mmengine - INFO - Epoch(train) [36][1000/5005] lr: 7.2700e-02 eta: 1 day, 8:31:54 time: 0.3652 data_time: 0.0046 loss: 2.1295 03/03 17:20:11 - mmengine - INFO - Epoch(train) [36][1100/5005] lr: 7.2700e-02 eta: 1 day, 8:31:16 time: 0.3425 data_time: 0.0043 loss: 1.9656 03/03 17:20:46 - mmengine - INFO - Epoch(train) [36][1200/5005] lr: 7.2700e-02 eta: 1 day, 8:30:38 time: 0.3712 data_time: 0.0043 loss: 2.0344 03/03 17:21:21 - mmengine - INFO - Epoch(train) [36][1300/5005] lr: 7.2700e-02 eta: 1 day, 8:30:00 time: 0.3445 data_time: 0.0046 loss: 1.8477 03/03 17:21:57 - mmengine - INFO - Epoch(train) [36][1400/5005] lr: 7.2700e-02 eta: 1 day, 8:29:23 time: 0.3487 data_time: 0.0045 loss: 2.0338 03/03 17:22:32 - mmengine - INFO - Epoch(train) [36][1500/5005] lr: 7.2700e-02 eta: 1 day, 8:28:46 time: 0.3610 data_time: 0.0047 loss: 1.8282 03/03 17:23:08 - mmengine - INFO - Epoch(train) [36][1600/5005] lr: 7.2700e-02 eta: 1 day, 8:28:08 time: 0.3427 data_time: 0.0042 loss: 1.9839 03/03 17:23:43 - mmengine - INFO - Epoch(train) [36][1700/5005] lr: 7.2700e-02 eta: 1 day, 8:27:30 time: 0.3523 data_time: 0.0046 loss: 1.9710 03/03 17:24:18 - mmengine - INFO - Epoch(train) [36][1800/5005] lr: 7.2700e-02 eta: 1 day, 8:26:52 time: 0.3485 data_time: 0.0045 loss: 1.9652 03/03 17:24:27 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 17:24:54 - mmengine - INFO - Epoch(train) [36][1900/5005] lr: 7.2700e-02 eta: 1 day, 8:26:15 time: 0.3588 data_time: 0.0047 loss: 2.3398 03/03 17:25:29 - mmengine - INFO - Epoch(train) [36][2000/5005] lr: 7.2700e-02 eta: 1 day, 8:25:38 time: 0.3706 data_time: 0.0044 loss: 2.0537 03/03 17:26:04 - mmengine - INFO - Epoch(train) [36][2100/5005] lr: 7.2700e-02 eta: 1 day, 8:25:00 time: 0.3588 data_time: 0.0045 loss: 1.7466 03/03 17:26:39 - mmengine - INFO - Epoch(train) [36][2200/5005] lr: 7.2700e-02 eta: 1 day, 8:24:22 time: 0.3494 data_time: 0.0043 loss: 2.0710 03/03 17:27:15 - mmengine - INFO - Epoch(train) [36][2300/5005] lr: 7.2700e-02 eta: 1 day, 8:23:44 time: 0.3587 data_time: 0.0044 loss: 1.8911 03/03 17:27:50 - mmengine - INFO - Epoch(train) [36][2400/5005] lr: 7.2700e-02 eta: 1 day, 8:23:06 time: 0.3432 data_time: 0.0046 loss: 2.0909 03/03 17:28:25 - mmengine - INFO - Epoch(train) [36][2500/5005] lr: 7.2700e-02 eta: 1 day, 8:22:29 time: 0.3527 data_time: 0.0046 loss: 1.9987 03/03 17:29:00 - mmengine - INFO - Epoch(train) [36][2600/5005] lr: 7.2700e-02 eta: 1 day, 8:21:50 time: 0.3458 data_time: 0.0046 loss: 2.1051 03/03 17:29:36 - mmengine - INFO - Epoch(train) [36][2700/5005] lr: 7.2700e-02 eta: 1 day, 8:21:13 time: 0.3689 data_time: 0.0043 loss: 1.8902 03/03 17:30:11 - mmengine - INFO - Epoch(train) [36][2800/5005] lr: 7.2700e-02 eta: 1 day, 8:20:35 time: 0.3505 data_time: 0.0048 loss: 1.8046 03/03 17:30:20 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 17:30:46 - mmengine - INFO - Epoch(train) [36][2900/5005] lr: 7.2700e-02 eta: 1 day, 8:19:57 time: 0.3467 data_time: 0.0046 loss: 2.1246 03/03 17:31:21 - mmengine - INFO - Epoch(train) [36][3000/5005] lr: 7.2700e-02 eta: 1 day, 8:19:20 time: 0.3470 data_time: 0.0045 loss: 1.9789 03/03 17:31:57 - mmengine - INFO - Epoch(train) [36][3100/5005] lr: 7.2700e-02 eta: 1 day, 8:18:42 time: 0.3573 data_time: 0.0044 loss: 2.0328 03/03 17:32:32 - mmengine - INFO - Epoch(train) [36][3200/5005] lr: 7.2700e-02 eta: 1 day, 8:18:04 time: 0.3426 data_time: 0.0047 loss: 1.7955 03/03 17:33:07 - mmengine - INFO - Epoch(train) [36][3300/5005] lr: 7.2700e-02 eta: 1 day, 8:17:27 time: 0.3494 data_time: 0.0045 loss: 2.0679 03/03 17:33:42 - mmengine - INFO - Epoch(train) [36][3400/5005] lr: 7.2700e-02 eta: 1 day, 8:16:48 time: 0.3500 data_time: 0.0045 loss: 1.9439 03/03 17:34:17 - mmengine - INFO - Epoch(train) [36][3500/5005] lr: 7.2700e-02 eta: 1 day, 8:16:11 time: 0.3658 data_time: 0.0046 loss: 2.1235 03/03 17:34:53 - mmengine - INFO - Epoch(train) [36][3600/5005] lr: 7.2700e-02 eta: 1 day, 8:15:33 time: 0.3663 data_time: 0.0045 loss: 2.1721 03/03 17:35:27 - mmengine - INFO - Epoch(train) [36][3700/5005] lr: 7.2700e-02 eta: 1 day, 8:14:54 time: 0.3398 data_time: 0.0046 loss: 2.3415 03/03 17:36:03 - mmengine - INFO - Epoch(train) [36][3800/5005] lr: 7.2700e-02 eta: 1 day, 8:14:17 time: 0.3464 data_time: 0.0047 loss: 1.9308 03/03 17:36:12 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 17:36:38 - mmengine - INFO - Epoch(train) [36][3900/5005] lr: 7.2700e-02 eta: 1 day, 8:13:39 time: 0.3473 data_time: 0.0042 loss: 2.0410 03/03 17:37:13 - mmengine - INFO - Epoch(train) [36][4000/5005] lr: 7.2700e-02 eta: 1 day, 8:13:01 time: 0.3421 data_time: 0.0045 loss: 2.0375 03/03 17:37:49 - mmengine - INFO - Epoch(train) [36][4100/5005] lr: 7.2700e-02 eta: 1 day, 8:12:24 time: 0.3589 data_time: 0.0045 loss: 1.9316 03/03 17:38:24 - mmengine - INFO - Epoch(train) [36][4200/5005] lr: 7.2700e-02 eta: 1 day, 8:11:46 time: 0.3425 data_time: 0.0046 loss: 2.0945 03/03 17:38:59 - mmengine - INFO - Epoch(train) [36][4300/5005] lr: 7.2700e-02 eta: 1 day, 8:11:08 time: 0.3372 data_time: 0.0045 loss: 2.0229 03/03 17:39:34 - mmengine - INFO - Epoch(train) [36][4400/5005] lr: 7.2700e-02 eta: 1 day, 8:10:30 time: 0.3395 data_time: 0.0044 loss: 1.9900 03/03 17:40:10 - mmengine - INFO - Epoch(train) [36][4500/5005] lr: 7.2700e-02 eta: 1 day, 8:09:53 time: 0.3521 data_time: 0.0044 loss: 1.9874 03/03 17:40:45 - mmengine - INFO - Epoch(train) [36][4600/5005] lr: 7.2700e-02 eta: 1 day, 8:09:15 time: 0.3426 data_time: 0.0045 loss: 2.1135 03/03 17:41:20 - mmengine - INFO - Epoch(train) [36][4700/5005] lr: 7.2700e-02 eta: 1 day, 8:08:37 time: 0.3387 data_time: 0.0044 loss: 1.9991 03/03 17:41:55 - mmengine - INFO - Epoch(train) [36][4800/5005] lr: 7.2700e-02 eta: 1 day, 8:07:59 time: 0.3550 data_time: 0.0046 loss: 2.0200 03/03 17:42:04 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 17:42:31 - mmengine - INFO - Epoch(train) [36][4900/5005] lr: 7.2700e-02 eta: 1 day, 8:07:23 time: 0.4103 data_time: 0.0046 loss: 1.9143 03/03 17:43:14 - mmengine - INFO - Epoch(train) [36][5000/5005] lr: 7.2700e-02 eta: 1 day, 8:06:58 time: 0.4217 data_time: 0.0056 loss: 2.1853 03/03 17:43:16 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 17:43:19 - mmengine - INFO - Saving checkpoint at 36 epochs 03/03 17:43:36 - mmengine - INFO - Epoch(val) [36][100/196] eta: 0:00:15 time: 0.0439 data_time: 0.0004 03/03 17:43:52 - mmengine - INFO - Epoch(val) [36][196/196] accuracy/top1: 58.8720 accuracy/top5: 82.8720 03/03 17:44:36 - mmengine - INFO - Epoch(train) [37][ 100/5005] lr: 7.1289e-02 eta: 1 day, 8:06:34 time: 0.3450 data_time: 0.0046 loss: 1.9517 03/03 17:45:12 - mmengine - INFO - Epoch(train) [37][ 200/5005] lr: 7.1289e-02 eta: 1 day, 8:05:57 time: 0.3440 data_time: 0.0046 loss: 1.9711 03/03 17:45:47 - mmengine - INFO - Epoch(train) [37][ 300/5005] lr: 7.1289e-02 eta: 1 day, 8:05:19 time: 0.3535 data_time: 0.0045 loss: 1.9981 03/03 17:46:23 - mmengine - INFO - Epoch(train) [37][ 400/5005] lr: 7.1289e-02 eta: 1 day, 8:04:43 time: 0.3593 data_time: 0.0047 loss: 1.8742 03/03 17:46:58 - mmengine - INFO - Epoch(train) [37][ 500/5005] lr: 7.1289e-02 eta: 1 day, 8:04:06 time: 0.3800 data_time: 0.0045 loss: 1.8120 03/03 17:47:34 - mmengine - INFO - Epoch(train) [37][ 600/5005] lr: 7.1289e-02 eta: 1 day, 8:03:28 time: 0.3455 data_time: 0.0044 loss: 1.8069 03/03 17:48:09 - mmengine - INFO - Epoch(train) [37][ 700/5005] lr: 7.1289e-02 eta: 1 day, 8:02:51 time: 0.3414 data_time: 0.0045 loss: 1.9661 03/03 17:48:44 - mmengine - INFO - Epoch(train) [37][ 800/5005] lr: 7.1289e-02 eta: 1 day, 8:02:13 time: 0.3496 data_time: 0.0048 loss: 1.9638 03/03 17:48:52 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 17:49:20 - mmengine - INFO - Epoch(train) [37][ 900/5005] lr: 7.1289e-02 eta: 1 day, 8:01:36 time: 0.3503 data_time: 0.0045 loss: 1.9331 03/03 17:49:55 - mmengine - INFO - Epoch(train) [37][1000/5005] lr: 7.1289e-02 eta: 1 day, 8:00:59 time: 0.3446 data_time: 0.0047 loss: 2.1483 03/03 17:50:30 - mmengine - INFO - Epoch(train) [37][1100/5005] lr: 7.1289e-02 eta: 1 day, 8:00:20 time: 0.3476 data_time: 0.0046 loss: 2.0324 03/03 17:51:06 - mmengine - INFO - Epoch(train) [37][1200/5005] lr: 7.1289e-02 eta: 1 day, 7:59:44 time: 0.3664 data_time: 0.0044 loss: 2.1011 03/03 17:51:42 - mmengine - INFO - Epoch(train) [37][1300/5005] lr: 7.1289e-02 eta: 1 day, 7:59:06 time: 0.3592 data_time: 0.0045 loss: 1.9169 03/03 17:52:17 - mmengine - INFO - Epoch(train) [37][1400/5005] lr: 7.1289e-02 eta: 1 day, 7:58:29 time: 0.3460 data_time: 0.0046 loss: 1.9890 03/03 17:52:53 - mmengine - INFO - Epoch(train) [37][1500/5005] lr: 7.1289e-02 eta: 1 day, 7:57:52 time: 0.3491 data_time: 0.0045 loss: 1.9917 03/03 17:53:28 - mmengine - INFO - Epoch(train) [37][1600/5005] lr: 7.1289e-02 eta: 1 day, 7:57:14 time: 0.3609 data_time: 0.0046 loss: 1.9818 03/03 17:54:04 - mmengine - INFO - Epoch(train) [37][1700/5005] lr: 7.1289e-02 eta: 1 day, 7:56:37 time: 0.3689 data_time: 0.0046 loss: 1.8328 03/03 17:54:39 - mmengine - INFO - Epoch(train) [37][1800/5005] lr: 7.1289e-02 eta: 1 day, 7:55:59 time: 0.3589 data_time: 0.0045 loss: 1.9972 03/03 17:54:46 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 17:55:14 - mmengine - INFO - Epoch(train) [37][1900/5005] lr: 7.1289e-02 eta: 1 day, 7:55:22 time: 0.3310 data_time: 0.0045 loss: 1.9942 03/03 17:55:49 - mmengine - INFO - Epoch(train) [37][2000/5005] lr: 7.1289e-02 eta: 1 day, 7:54:44 time: 0.3383 data_time: 0.0043 loss: 1.9415 03/03 17:56:24 - mmengine - INFO - Epoch(train) [37][2100/5005] lr: 7.1289e-02 eta: 1 day, 7:54:06 time: 0.3571 data_time: 0.0045 loss: 1.8455 03/03 17:57:00 - mmengine - INFO - Epoch(train) [37][2200/5005] lr: 7.1289e-02 eta: 1 day, 7:53:28 time: 0.3415 data_time: 0.0044 loss: 1.9524 03/03 17:57:35 - mmengine - INFO - Epoch(train) [37][2300/5005] lr: 7.1289e-02 eta: 1 day, 7:52:51 time: 0.3447 data_time: 0.0044 loss: 1.9764 03/03 17:58:10 - mmengine - INFO - Epoch(train) [37][2400/5005] lr: 7.1289e-02 eta: 1 day, 7:52:13 time: 0.3609 data_time: 0.0045 loss: 2.0430 03/03 17:58:45 - mmengine - INFO - Epoch(train) [37][2500/5005] lr: 7.1289e-02 eta: 1 day, 7:51:35 time: 0.3488 data_time: 0.0043 loss: 1.8797 03/03 17:59:21 - mmengine - INFO - Epoch(train) [37][2600/5005] lr: 7.1289e-02 eta: 1 day, 7:50:58 time: 0.3597 data_time: 0.0045 loss: 1.8792 03/03 17:59:56 - mmengine - INFO - Epoch(train) [37][2700/5005] lr: 7.1289e-02 eta: 1 day, 7:50:19 time: 0.3617 data_time: 0.0044 loss: 1.8765 03/03 18:00:31 - mmengine - INFO - Epoch(train) [37][2800/5005] lr: 7.1289e-02 eta: 1 day, 7:49:42 time: 0.3396 data_time: 0.0044 loss: 2.2636 03/03 18:00:38 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 18:01:06 - mmengine - INFO - Epoch(train) [37][2900/5005] lr: 7.1289e-02 eta: 1 day, 7:49:04 time: 0.3428 data_time: 0.0044 loss: 2.1126 03/03 18:01:41 - mmengine - INFO - Epoch(train) [37][3000/5005] lr: 7.1289e-02 eta: 1 day, 7:48:26 time: 0.3444 data_time: 0.0044 loss: 2.0445 03/03 18:02:17 - mmengine - INFO - Epoch(train) [37][3100/5005] lr: 7.1289e-02 eta: 1 day, 7:47:49 time: 0.3473 data_time: 0.0049 loss: 1.9113 03/03 18:02:52 - mmengine - INFO - Epoch(train) [37][3200/5005] lr: 7.1289e-02 eta: 1 day, 7:47:12 time: 0.3813 data_time: 0.0045 loss: 2.1042 03/03 18:03:28 - mmengine - INFO - Epoch(train) [37][3300/5005] lr: 7.1289e-02 eta: 1 day, 7:46:35 time: 0.3442 data_time: 0.0046 loss: 2.0191 03/03 18:04:03 - mmengine - INFO - Epoch(train) [37][3400/5005] lr: 7.1289e-02 eta: 1 day, 7:45:57 time: 0.3448 data_time: 0.0049 loss: 2.2306 03/03 18:04:38 - mmengine - INFO - Epoch(train) [37][3500/5005] lr: 7.1289e-02 eta: 1 day, 7:45:19 time: 0.3408 data_time: 0.0044 loss: 2.1010 03/03 18:05:14 - mmengine - INFO - Epoch(train) [37][3600/5005] lr: 7.1289e-02 eta: 1 day, 7:44:42 time: 0.3489 data_time: 0.0045 loss: 1.8614 03/03 18:05:49 - mmengine - INFO - Epoch(train) [37][3700/5005] lr: 7.1289e-02 eta: 1 day, 7:44:04 time: 0.3481 data_time: 0.0046 loss: 2.0950 03/03 18:06:24 - mmengine - INFO - Epoch(train) [37][3800/5005] lr: 7.1289e-02 eta: 1 day, 7:43:27 time: 0.3683 data_time: 0.0044 loss: 1.8575 03/03 18:06:31 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 18:07:00 - mmengine - INFO - Epoch(train) [37][3900/5005] lr: 7.1289e-02 eta: 1 day, 7:42:50 time: 0.3543 data_time: 0.0042 loss: 2.0940 03/03 18:07:35 - mmengine - INFO - Epoch(train) [37][4000/5005] lr: 7.1289e-02 eta: 1 day, 7:42:12 time: 0.3663 data_time: 0.0045 loss: 2.0093 03/03 18:08:10 - mmengine - INFO - Epoch(train) [37][4100/5005] lr: 7.1289e-02 eta: 1 day, 7:41:35 time: 0.3475 data_time: 0.0045 loss: 2.0922 03/03 18:08:46 - mmengine - INFO - Epoch(train) [37][4200/5005] lr: 7.1289e-02 eta: 1 day, 7:40:57 time: 0.3546 data_time: 0.0044 loss: 2.0206 03/03 18:09:21 - mmengine - INFO - Epoch(train) [37][4300/5005] lr: 7.1289e-02 eta: 1 day, 7:40:20 time: 0.3465 data_time: 0.0046 loss: 1.8692 03/03 18:09:57 - mmengine - INFO - Epoch(train) [37][4400/5005] lr: 7.1289e-02 eta: 1 day, 7:39:43 time: 0.3691 data_time: 0.0044 loss: 1.8746 03/03 18:10:32 - mmengine - INFO - Epoch(train) [37][4500/5005] lr: 7.1289e-02 eta: 1 day, 7:39:06 time: 0.3405 data_time: 0.0045 loss: 1.9574 03/03 18:11:08 - mmengine - INFO - Epoch(train) [37][4600/5005] lr: 7.1289e-02 eta: 1 day, 7:38:29 time: 0.3592 data_time: 0.0047 loss: 2.1913 03/03 18:11:43 - mmengine - INFO - Epoch(train) [37][4700/5005] lr: 7.1289e-02 eta: 1 day, 7:37:51 time: 0.3462 data_time: 0.0044 loss: 2.0276 03/03 18:12:18 - mmengine - INFO - Epoch(train) [37][4800/5005] lr: 7.1289e-02 eta: 1 day, 7:37:14 time: 0.3672 data_time: 0.0047 loss: 1.8085 03/03 18:12:25 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 18:12:55 - mmengine - INFO - Epoch(train) [37][4900/5005] lr: 7.1289e-02 eta: 1 day, 7:36:38 time: 0.4049 data_time: 0.0045 loss: 2.2006 03/03 18:13:37 - mmengine - INFO - Epoch(train) [37][5000/5005] lr: 7.1289e-02 eta: 1 day, 7:36:12 time: 0.4145 data_time: 0.0050 loss: 1.9545 03/03 18:13:39 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 18:13:42 - mmengine - INFO - Saving checkpoint at 37 epochs 03/03 18:13:59 - mmengine - INFO - Epoch(val) [37][100/196] eta: 0:00:14 time: 0.0421 data_time: 0.0003 03/03 18:14:15 - mmengine - INFO - Epoch(val) [37][196/196] accuracy/top1: 56.4000 accuracy/top5: 80.8080 03/03 18:15:00 - mmengine - INFO - Epoch(train) [38][ 100/5005] lr: 6.9857e-02 eta: 1 day, 7:35:49 time: 0.3670 data_time: 0.0046 loss: 1.8257 03/03 18:15:36 - mmengine - INFO - Epoch(train) [38][ 200/5005] lr: 6.9857e-02 eta: 1 day, 7:35:13 time: 0.3933 data_time: 0.0048 loss: 2.0482 03/03 18:16:11 - mmengine - INFO - Epoch(train) [38][ 300/5005] lr: 6.9857e-02 eta: 1 day, 7:34:35 time: 0.3545 data_time: 0.0045 loss: 1.8839 03/03 18:16:47 - mmengine - INFO - Epoch(train) [38][ 400/5005] lr: 6.9857e-02 eta: 1 day, 7:33:58 time: 0.3443 data_time: 0.0046 loss: 1.8778 03/03 18:17:23 - mmengine - INFO - Epoch(train) [38][ 500/5005] lr: 6.9857e-02 eta: 1 day, 7:33:21 time: 0.3711 data_time: 0.0045 loss: 1.9070 03/03 18:17:59 - mmengine - INFO - Epoch(train) [38][ 600/5005] lr: 6.9857e-02 eta: 1 day, 7:32:45 time: 0.3465 data_time: 0.0044 loss: 2.2232 03/03 18:18:34 - mmengine - INFO - Epoch(train) [38][ 700/5005] lr: 6.9857e-02 eta: 1 day, 7:32:08 time: 0.3568 data_time: 0.0043 loss: 1.9633 03/03 18:19:10 - mmengine - INFO - Epoch(train) [38][ 800/5005] lr: 6.9857e-02 eta: 1 day, 7:31:31 time: 0.3657 data_time: 0.0043 loss: 1.8602 03/03 18:19:15 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 18:19:46 - mmengine - INFO - Epoch(train) [38][ 900/5005] lr: 6.9857e-02 eta: 1 day, 7:30:54 time: 0.3770 data_time: 0.0047 loss: 2.1632 03/03 18:20:21 - mmengine - INFO - Epoch(train) [38][1000/5005] lr: 6.9857e-02 eta: 1 day, 7:30:17 time: 0.3421 data_time: 0.0044 loss: 2.0852 03/03 18:20:56 - mmengine - INFO - Epoch(train) [38][1100/5005] lr: 6.9857e-02 eta: 1 day, 7:29:39 time: 0.3485 data_time: 0.0045 loss: 2.0058 03/03 18:21:32 - mmengine - INFO - Epoch(train) [38][1200/5005] lr: 6.9857e-02 eta: 1 day, 7:29:02 time: 0.3421 data_time: 0.0044 loss: 2.2098 03/03 18:22:07 - mmengine - INFO - Epoch(train) [38][1300/5005] lr: 6.9857e-02 eta: 1 day, 7:28:24 time: 0.3648 data_time: 0.0044 loss: 2.0190 03/03 18:22:42 - mmengine - INFO - Epoch(train) [38][1400/5005] lr: 6.9857e-02 eta: 1 day, 7:27:47 time: 0.3527 data_time: 0.0046 loss: 1.8943 03/03 18:23:18 - mmengine - INFO - Epoch(train) [38][1500/5005] lr: 6.9857e-02 eta: 1 day, 7:27:10 time: 0.3659 data_time: 0.0045 loss: 2.1576 03/03 18:23:53 - mmengine - INFO - Epoch(train) [38][1600/5005] lr: 6.9857e-02 eta: 1 day, 7:26:31 time: 0.3353 data_time: 0.0047 loss: 1.9546 03/03 18:24:29 - mmengine - INFO - Epoch(train) [38][1700/5005] lr: 6.9857e-02 eta: 1 day, 7:25:55 time: 0.3580 data_time: 0.0047 loss: 2.1890 03/03 18:25:04 - mmengine - INFO - Epoch(train) [38][1800/5005] lr: 6.9857e-02 eta: 1 day, 7:25:17 time: 0.3465 data_time: 0.0045 loss: 1.8885 03/03 18:25:09 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 18:25:39 - mmengine - INFO - Epoch(train) [38][1900/5005] lr: 6.9857e-02 eta: 1 day, 7:24:40 time: 0.3552 data_time: 0.0044 loss: 2.0403 03/03 18:26:15 - mmengine - INFO - Epoch(train) [38][2000/5005] lr: 6.9857e-02 eta: 1 day, 7:24:03 time: 0.3511 data_time: 0.0044 loss: 1.7808 03/03 18:26:50 - mmengine - INFO - Epoch(train) [38][2100/5005] lr: 6.9857e-02 eta: 1 day, 7:23:26 time: 0.3836 data_time: 0.0044 loss: 2.1830 03/03 18:27:26 - mmengine - INFO - Epoch(train) [38][2200/5005] lr: 6.9857e-02 eta: 1 day, 7:22:48 time: 0.3474 data_time: 0.0044 loss: 2.0702 03/03 18:28:01 - mmengine - INFO - Epoch(train) [38][2300/5005] lr: 6.9857e-02 eta: 1 day, 7:22:10 time: 0.3575 data_time: 0.0043 loss: 1.9515 03/03 18:28:36 - mmengine - INFO - Epoch(train) [38][2400/5005] lr: 6.9857e-02 eta: 1 day, 7:21:34 time: 0.3509 data_time: 0.0045 loss: 1.9967 03/03 18:29:12 - mmengine - INFO - Epoch(train) [38][2500/5005] lr: 6.9857e-02 eta: 1 day, 7:20:57 time: 0.3672 data_time: 0.0045 loss: 2.0456 03/03 18:29:47 - mmengine - INFO - Epoch(train) [38][2600/5005] lr: 6.9857e-02 eta: 1 day, 7:20:19 time: 0.3428 data_time: 0.0046 loss: 2.3036 03/03 18:30:23 - mmengine - INFO - Epoch(train) [38][2700/5005] lr: 6.9857e-02 eta: 1 day, 7:19:41 time: 0.3620 data_time: 0.0045 loss: 1.9699 03/03 18:30:58 - mmengine - INFO - Epoch(train) [38][2800/5005] lr: 6.9857e-02 eta: 1 day, 7:19:04 time: 0.3536 data_time: 0.0048 loss: 2.0232 03/03 18:31:03 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 18:31:33 - mmengine - INFO - Epoch(train) [38][2900/5005] lr: 6.9857e-02 eta: 1 day, 7:18:27 time: 0.3816 data_time: 0.0049 loss: 2.0299 03/03 18:32:08 - mmengine - INFO - Epoch(train) [38][3000/5005] lr: 6.9857e-02 eta: 1 day, 7:17:49 time: 0.3372 data_time: 0.0046 loss: 1.9187 03/03 18:32:43 - mmengine - INFO - Epoch(train) [38][3100/5005] lr: 6.9857e-02 eta: 1 day, 7:17:11 time: 0.3475 data_time: 0.0044 loss: 1.8901 03/03 18:33:19 - mmengine - INFO - Epoch(train) [38][3200/5005] lr: 6.9857e-02 eta: 1 day, 7:16:33 time: 0.3509 data_time: 0.0048 loss: 1.9095 03/03 18:33:54 - mmengine - INFO - Epoch(train) [38][3300/5005] lr: 6.9857e-02 eta: 1 day, 7:15:56 time: 0.3451 data_time: 0.0044 loss: 1.8657 03/03 18:34:30 - mmengine - INFO - Epoch(train) [38][3400/5005] lr: 6.9857e-02 eta: 1 day, 7:15:19 time: 0.3579 data_time: 0.0046 loss: 2.1121 03/03 18:35:05 - mmengine - INFO - Epoch(train) [38][3500/5005] lr: 6.9857e-02 eta: 1 day, 7:14:41 time: 0.3484 data_time: 0.0046 loss: 1.7055 03/03 18:35:40 - mmengine - INFO - Epoch(train) [38][3600/5005] lr: 6.9857e-02 eta: 1 day, 7:14:03 time: 0.3356 data_time: 0.0044 loss: 1.9065 03/03 18:36:15 - mmengine - INFO - Epoch(train) [38][3700/5005] lr: 6.9857e-02 eta: 1 day, 7:13:25 time: 0.3633 data_time: 0.0046 loss: 2.2266 03/03 18:36:50 - mmengine - INFO - Epoch(train) [38][3800/5005] lr: 6.9857e-02 eta: 1 day, 7:12:48 time: 0.3463 data_time: 0.0044 loss: 2.0972 03/03 18:36:55 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 18:37:25 - mmengine - INFO - Epoch(train) [38][3900/5005] lr: 6.9857e-02 eta: 1 day, 7:12:10 time: 0.3481 data_time: 0.0044 loss: 2.0789 03/03 18:38:00 - mmengine - INFO - Epoch(train) [38][4000/5005] lr: 6.9857e-02 eta: 1 day, 7:11:32 time: 0.3474 data_time: 0.0045 loss: 2.0692 03/03 18:38:36 - mmengine - INFO - Epoch(train) [38][4100/5005] lr: 6.9857e-02 eta: 1 day, 7:10:55 time: 0.3604 data_time: 0.0045 loss: 2.0296 03/03 18:39:11 - mmengine - INFO - Epoch(train) [38][4200/5005] lr: 6.9857e-02 eta: 1 day, 7:10:18 time: 0.3685 data_time: 0.0046 loss: 1.9282 03/03 18:39:46 - mmengine - INFO - Epoch(train) [38][4300/5005] lr: 6.9857e-02 eta: 1 day, 7:09:40 time: 0.3516 data_time: 0.0046 loss: 2.1042 03/03 18:40:21 - mmengine - INFO - Epoch(train) [38][4400/5005] lr: 6.9857e-02 eta: 1 day, 7:09:02 time: 0.3624 data_time: 0.0044 loss: 1.9371 03/03 18:40:56 - mmengine - INFO - Epoch(train) [38][4500/5005] lr: 6.9857e-02 eta: 1 day, 7:08:24 time: 0.3490 data_time: 0.0046 loss: 2.1005 03/03 18:41:32 - mmengine - INFO - Epoch(train) [38][4600/5005] lr: 6.9857e-02 eta: 1 day, 7:07:48 time: 0.3428 data_time: 0.0046 loss: 2.0335 03/03 18:42:08 - mmengine - INFO - Epoch(train) [38][4700/5005] lr: 6.9857e-02 eta: 1 day, 7:07:11 time: 0.3408 data_time: 0.0044 loss: 1.8926 03/03 18:42:42 - mmengine - INFO - Epoch(train) [38][4800/5005] lr: 6.9857e-02 eta: 1 day, 7:06:32 time: 0.3414 data_time: 0.0047 loss: 2.0746 03/03 18:42:48 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 18:43:19 - mmengine - INFO - Epoch(train) [38][4900/5005] lr: 6.9857e-02 eta: 1 day, 7:05:58 time: 0.4408 data_time: 0.0052 loss: 1.9406 03/03 18:44:03 - mmengine - INFO - Epoch(train) [38][5000/5005] lr: 6.9857e-02 eta: 1 day, 7:05:34 time: 0.3652 data_time: 0.0047 loss: 1.8549 03/03 18:44:05 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 18:44:08 - mmengine - INFO - Saving checkpoint at 38 epochs 03/03 18:44:25 - mmengine - INFO - Epoch(val) [38][100/196] eta: 0:00:15 time: 0.0498 data_time: 0.0003 03/03 18:44:42 - mmengine - INFO - Epoch(val) [38][196/196] accuracy/top1: 59.3820 accuracy/top5: 83.1520 03/03 18:45:26 - mmengine - INFO - Epoch(train) [39][ 100/5005] lr: 6.8406e-02 eta: 1 day, 7:05:09 time: 0.3507 data_time: 0.0047 loss: 1.7760 03/03 18:46:02 - mmengine - INFO - Epoch(train) [39][ 200/5005] lr: 6.8406e-02 eta: 1 day, 7:04:33 time: 0.3542 data_time: 0.0048 loss: 1.9121 03/03 18:46:37 - mmengine - INFO - Epoch(train) [39][ 300/5005] lr: 6.8406e-02 eta: 1 day, 7:03:55 time: 0.3638 data_time: 0.0045 loss: 2.2262 03/03 18:47:13 - mmengine - INFO - Epoch(train) [39][ 400/5005] lr: 6.8406e-02 eta: 1 day, 7:03:19 time: 0.3645 data_time: 0.0046 loss: 1.9786 03/03 18:47:49 - mmengine - INFO - Epoch(train) [39][ 500/5005] lr: 6.8406e-02 eta: 1 day, 7:02:42 time: 0.3726 data_time: 0.0043 loss: 1.9655 03/03 18:48:24 - mmengine - INFO - Epoch(train) [39][ 600/5005] lr: 6.8406e-02 eta: 1 day, 7:02:04 time: 0.3627 data_time: 0.0044 loss: 1.7848 03/03 18:49:00 - mmengine - INFO - Epoch(train) [39][ 700/5005] lr: 6.8406e-02 eta: 1 day, 7:01:27 time: 0.3544 data_time: 0.0045 loss: 2.0417 03/03 18:49:35 - mmengine - INFO - Epoch(train) [39][ 800/5005] lr: 6.8406e-02 eta: 1 day, 7:00:50 time: 0.3558 data_time: 0.0046 loss: 1.9747 03/03 18:49:39 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 18:50:10 - mmengine - INFO - Epoch(train) [39][ 900/5005] lr: 6.8406e-02 eta: 1 day, 7:00:13 time: 0.3474 data_time: 0.0043 loss: 2.0898 03/03 18:50:46 - mmengine - INFO - Epoch(train) [39][1000/5005] lr: 6.8406e-02 eta: 1 day, 6:59:36 time: 0.3434 data_time: 0.0045 loss: 2.0034 03/03 18:51:21 - mmengine - INFO - Epoch(train) [39][1100/5005] lr: 6.8406e-02 eta: 1 day, 6:58:58 time: 0.3459 data_time: 0.0043 loss: 1.8720 03/03 18:51:57 - mmengine - INFO - Epoch(train) [39][1200/5005] lr: 6.8406e-02 eta: 1 day, 6:58:21 time: 0.3563 data_time: 0.0048 loss: 1.9118 03/03 18:52:32 - mmengine - INFO - Epoch(train) [39][1300/5005] lr: 6.8406e-02 eta: 1 day, 6:57:43 time: 0.3512 data_time: 0.0045 loss: 1.9595 03/03 18:53:07 - mmengine - INFO - Epoch(train) [39][1400/5005] lr: 6.8406e-02 eta: 1 day, 6:57:05 time: 0.3566 data_time: 0.0044 loss: 1.8365 03/03 18:53:42 - mmengine - INFO - Epoch(train) [39][1500/5005] lr: 6.8406e-02 eta: 1 day, 6:56:28 time: 0.3400 data_time: 0.0047 loss: 1.9357 03/03 18:54:18 - mmengine - INFO - Epoch(train) [39][1600/5005] lr: 6.8406e-02 eta: 1 day, 6:55:51 time: 0.3743 data_time: 0.0043 loss: 1.9044 03/03 18:54:53 - mmengine - INFO - Epoch(train) [39][1700/5005] lr: 6.8406e-02 eta: 1 day, 6:55:14 time: 0.3496 data_time: 0.0046 loss: 1.7441 03/03 18:55:29 - mmengine - INFO - Epoch(train) [39][1800/5005] lr: 6.8406e-02 eta: 1 day, 6:54:37 time: 0.3419 data_time: 0.0045 loss: 2.0477 03/03 18:55:32 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 18:56:04 - mmengine - INFO - Epoch(train) [39][1900/5005] lr: 6.8406e-02 eta: 1 day, 6:53:59 time: 0.3583 data_time: 0.0045 loss: 2.0202 03/03 18:56:39 - mmengine - INFO - Epoch(train) [39][2000/5005] lr: 6.8406e-02 eta: 1 day, 6:53:22 time: 0.3431 data_time: 0.0044 loss: 2.0117 03/03 18:57:15 - mmengine - INFO - Epoch(train) [39][2100/5005] lr: 6.8406e-02 eta: 1 day, 6:52:45 time: 0.3509 data_time: 0.0046 loss: 2.1177 03/03 18:57:50 - mmengine - INFO - Epoch(train) [39][2200/5005] lr: 6.8406e-02 eta: 1 day, 6:52:07 time: 0.3531 data_time: 0.0044 loss: 2.0006 03/03 18:58:25 - mmengine - INFO - Epoch(train) [39][2300/5005] lr: 6.8406e-02 eta: 1 day, 6:51:30 time: 0.3623 data_time: 0.0046 loss: 1.9477 03/03 18:59:00 - mmengine - INFO - Epoch(train) [39][2400/5005] lr: 6.8406e-02 eta: 1 day, 6:50:52 time: 0.3550 data_time: 0.0044 loss: 1.8220 03/03 18:59:36 - mmengine - INFO - Epoch(train) [39][2500/5005] lr: 6.8406e-02 eta: 1 day, 6:50:15 time: 0.3422 data_time: 0.0043 loss: 2.0089 03/03 19:00:11 - mmengine - INFO - Epoch(train) [39][2600/5005] lr: 6.8406e-02 eta: 1 day, 6:49:37 time: 0.3405 data_time: 0.0047 loss: 2.0942 03/03 19:00:46 - mmengine - INFO - Epoch(train) [39][2700/5005] lr: 6.8406e-02 eta: 1 day, 6:48:59 time: 0.3380 data_time: 0.0045 loss: 1.9904 03/03 19:01:21 - mmengine - INFO - Epoch(train) [39][2800/5005] lr: 6.8406e-02 eta: 1 day, 6:48:21 time: 0.3606 data_time: 0.0044 loss: 1.8938 03/03 19:01:24 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 19:01:56 - mmengine - INFO - Epoch(train) [39][2900/5005] lr: 6.8406e-02 eta: 1 day, 6:47:44 time: 0.3418 data_time: 0.0045 loss: 1.9326 03/03 19:02:32 - mmengine - INFO - Epoch(train) [39][3000/5005] lr: 6.8406e-02 eta: 1 day, 6:47:07 time: 0.3500 data_time: 0.0045 loss: 2.0645 03/03 19:03:08 - mmengine - INFO - Epoch(train) [39][3100/5005] lr: 6.8406e-02 eta: 1 day, 6:46:30 time: 0.3491 data_time: 0.0045 loss: 1.9765 03/03 19:03:43 - mmengine - INFO - Epoch(train) [39][3200/5005] lr: 6.8406e-02 eta: 1 day, 6:45:54 time: 0.3759 data_time: 0.0048 loss: 1.9841 03/03 19:04:18 - mmengine - INFO - Epoch(train) [39][3300/5005] lr: 6.8406e-02 eta: 1 day, 6:45:16 time: 0.3432 data_time: 0.0045 loss: 1.7953 03/03 19:04:53 - mmengine - INFO - Epoch(train) [39][3400/5005] lr: 6.8406e-02 eta: 1 day, 6:44:38 time: 0.3659 data_time: 0.0044 loss: 1.9253 03/03 19:05:29 - mmengine - INFO - Epoch(train) [39][3500/5005] lr: 6.8406e-02 eta: 1 day, 6:44:01 time: 0.3551 data_time: 0.0045 loss: 1.9897 03/03 19:06:04 - mmengine - INFO - Epoch(train) [39][3600/5005] lr: 6.8406e-02 eta: 1 day, 6:43:23 time: 0.3513 data_time: 0.0046 loss: 2.0211 03/03 19:06:39 - mmengine - INFO - Epoch(train) [39][3700/5005] lr: 6.8406e-02 eta: 1 day, 6:42:46 time: 0.3532 data_time: 0.0045 loss: 2.0996 03/03 19:07:14 - mmengine - INFO - Epoch(train) [39][3800/5005] lr: 6.8406e-02 eta: 1 day, 6:42:08 time: 0.3521 data_time: 0.0051 loss: 2.0004 03/03 19:07:18 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 19:07:50 - mmengine - INFO - Epoch(train) [39][3900/5005] lr: 6.8406e-02 eta: 1 day, 6:41:31 time: 0.3487 data_time: 0.0044 loss: 2.0780 03/03 19:08:25 - mmengine - INFO - Epoch(train) [39][4000/5005] lr: 6.8406e-02 eta: 1 day, 6:40:54 time: 0.3481 data_time: 0.0045 loss: 2.1019 03/03 19:09:00 - mmengine - INFO - Epoch(train) [39][4100/5005] lr: 6.8406e-02 eta: 1 day, 6:40:16 time: 0.3449 data_time: 0.0045 loss: 2.0130 03/03 19:09:36 - mmengine - INFO - Epoch(train) [39][4200/5005] lr: 6.8406e-02 eta: 1 day, 6:39:39 time: 0.3476 data_time: 0.0050 loss: 1.8259 03/03 19:10:11 - mmengine - INFO - Epoch(train) [39][4300/5005] lr: 6.8406e-02 eta: 1 day, 6:39:02 time: 0.3506 data_time: 0.0044 loss: 1.7675 03/03 19:10:46 - mmengine - INFO - Epoch(train) [39][4400/5005] lr: 6.8406e-02 eta: 1 day, 6:38:24 time: 0.3377 data_time: 0.0047 loss: 1.9357 03/03 19:11:22 - mmengine - INFO - Epoch(train) [39][4500/5005] lr: 6.8406e-02 eta: 1 day, 6:37:47 time: 0.3479 data_time: 0.0046 loss: 2.0085 03/03 19:11:56 - mmengine - INFO - Epoch(train) [39][4600/5005] lr: 6.8406e-02 eta: 1 day, 6:37:09 time: 0.3428 data_time: 0.0046 loss: 2.1249 03/03 19:12:32 - mmengine - INFO - Epoch(train) [39][4700/5005] lr: 6.8406e-02 eta: 1 day, 6:36:31 time: 0.3603 data_time: 0.0045 loss: 1.9412 03/03 19:13:07 - mmengine - INFO - Epoch(train) [39][4800/5005] lr: 6.8406e-02 eta: 1 day, 6:35:54 time: 0.3629 data_time: 0.0049 loss: 1.9107 03/03 19:13:10 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 19:13:43 - mmengine - INFO - Epoch(train) [39][4900/5005] lr: 6.8406e-02 eta: 1 day, 6:35:19 time: 0.4399 data_time: 0.0048 loss: 1.9900 03/03 19:14:27 - mmengine - INFO - Epoch(train) [39][5000/5005] lr: 6.8406e-02 eta: 1 day, 6:34:54 time: 0.4232 data_time: 0.0047 loss: 2.0253 03/03 19:14:29 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 19:14:32 - mmengine - INFO - Saving checkpoint at 39 epochs 03/03 19:14:49 - mmengine - INFO - Epoch(val) [39][100/196] eta: 0:00:14 time: 0.0425 data_time: 0.0004 03/03 19:15:05 - mmengine - INFO - Epoch(val) [39][196/196] accuracy/top1: 59.7560 accuracy/top5: 83.3700 03/03 19:15:50 - mmengine - INFO - Epoch(train) [40][ 100/5005] lr: 6.6937e-02 eta: 1 day, 6:34:30 time: 0.3562 data_time: 0.0045 loss: 1.8168 03/03 19:16:25 - mmengine - INFO - Epoch(train) [40][ 200/5005] lr: 6.6937e-02 eta: 1 day, 6:33:52 time: 0.3503 data_time: 0.0051 loss: 2.0921 03/03 19:17:00 - mmengine - INFO - Epoch(train) [40][ 300/5005] lr: 6.6937e-02 eta: 1 day, 6:33:15 time: 0.3477 data_time: 0.0045 loss: 1.8480 03/03 19:17:36 - mmengine - INFO - Epoch(train) [40][ 400/5005] lr: 6.6937e-02 eta: 1 day, 6:32:38 time: 0.3596 data_time: 0.0047 loss: 1.8074 03/03 19:18:11 - mmengine - INFO - Epoch(train) [40][ 500/5005] lr: 6.6937e-02 eta: 1 day, 6:32:00 time: 0.3509 data_time: 0.0044 loss: 1.8980 03/03 19:18:47 - mmengine - INFO - Epoch(train) [40][ 600/5005] lr: 6.6937e-02 eta: 1 day, 6:31:24 time: 0.3644 data_time: 0.0045 loss: 1.8612 03/03 19:19:22 - mmengine - INFO - Epoch(train) [40][ 700/5005] lr: 6.6937e-02 eta: 1 day, 6:30:46 time: 0.3513 data_time: 0.0046 loss: 1.9367 03/03 19:19:57 - mmengine - INFO - Epoch(train) [40][ 800/5005] lr: 6.6937e-02 eta: 1 day, 6:30:09 time: 0.3427 data_time: 0.0046 loss: 2.1917 03/03 19:19:59 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 19:20:33 - mmengine - INFO - Epoch(train) [40][ 900/5005] lr: 6.6937e-02 eta: 1 day, 6:29:32 time: 0.3601 data_time: 0.0046 loss: 2.1225 03/03 19:21:08 - mmengine - INFO - Epoch(train) [40][1000/5005] lr: 6.6937e-02 eta: 1 day, 6:28:55 time: 0.3380 data_time: 0.0044 loss: 1.9457 03/03 19:21:44 - mmengine - INFO - Epoch(train) [40][1100/5005] lr: 6.6937e-02 eta: 1 day, 6:28:18 time: 0.3485 data_time: 0.0045 loss: 1.9986 03/03 19:22:20 - mmengine - INFO - Epoch(train) [40][1200/5005] lr: 6.6937e-02 eta: 1 day, 6:27:41 time: 0.3643 data_time: 0.0049 loss: 1.8294 03/03 19:22:55 - mmengine - INFO - Epoch(train) [40][1300/5005] lr: 6.6937e-02 eta: 1 day, 6:27:04 time: 0.3519 data_time: 0.0044 loss: 1.9239 03/03 19:23:31 - mmengine - INFO - Epoch(train) [40][1400/5005] lr: 6.6937e-02 eta: 1 day, 6:26:27 time: 0.3459 data_time: 0.0044 loss: 1.9155 03/03 19:24:06 - mmengine - INFO - Epoch(train) [40][1500/5005] lr: 6.6937e-02 eta: 1 day, 6:25:50 time: 0.3806 data_time: 0.0045 loss: 2.0246 03/03 19:24:41 - mmengine - INFO - Epoch(train) [40][1600/5005] lr: 6.6937e-02 eta: 1 day, 6:25:12 time: 0.3658 data_time: 0.0046 loss: 2.0701 03/03 19:25:16 - mmengine - INFO - Epoch(train) [40][1700/5005] lr: 6.6937e-02 eta: 1 day, 6:24:35 time: 0.3702 data_time: 0.0045 loss: 2.1085 03/03 19:25:51 - mmengine - INFO - Epoch(train) [40][1800/5005] lr: 6.6937e-02 eta: 1 day, 6:23:57 time: 0.3587 data_time: 0.0046 loss: 1.9750 03/03 19:25:53 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 19:26:27 - mmengine - INFO - Epoch(train) [40][1900/5005] lr: 6.6937e-02 eta: 1 day, 6:23:20 time: 0.3541 data_time: 0.0044 loss: 1.9044 03/03 19:27:02 - mmengine - INFO - Epoch(train) [40][2000/5005] lr: 6.6937e-02 eta: 1 day, 6:22:43 time: 0.4006 data_time: 0.0046 loss: 2.1209 03/03 19:27:38 - mmengine - INFO - Epoch(train) [40][2100/5005] lr: 6.6937e-02 eta: 1 day, 6:22:06 time: 0.3458 data_time: 0.0047 loss: 1.9911 03/03 19:28:13 - mmengine - INFO - Epoch(train) [40][2200/5005] lr: 6.6937e-02 eta: 1 day, 6:21:29 time: 0.3524 data_time: 0.0044 loss: 2.1303 03/03 19:28:48 - mmengine - INFO - Epoch(train) [40][2300/5005] lr: 6.6937e-02 eta: 1 day, 6:20:51 time: 0.3594 data_time: 0.0045 loss: 1.9270 03/03 19:29:23 - mmengine - INFO - Epoch(train) [40][2400/5005] lr: 6.6937e-02 eta: 1 day, 6:20:13 time: 0.3503 data_time: 0.0044 loss: 2.0527 03/03 19:29:59 - mmengine - INFO - Epoch(train) [40][2500/5005] lr: 6.6937e-02 eta: 1 day, 6:19:36 time: 0.3423 data_time: 0.0051 loss: 1.9834 03/03 19:30:34 - mmengine - INFO - Epoch(train) [40][2600/5005] lr: 6.6937e-02 eta: 1 day, 6:18:59 time: 0.3428 data_time: 0.0046 loss: 1.7765 03/03 19:31:09 - mmengine - INFO - Epoch(train) [40][2700/5005] lr: 6.6937e-02 eta: 1 day, 6:18:21 time: 0.3452 data_time: 0.0045 loss: 2.0555 03/03 19:31:44 - mmengine - INFO - Epoch(train) [40][2800/5005] lr: 6.6937e-02 eta: 1 day, 6:17:44 time: 0.3635 data_time: 0.0045 loss: 1.8389 03/03 19:31:46 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 19:32:19 - mmengine - INFO - Epoch(train) [40][2900/5005] lr: 6.6937e-02 eta: 1 day, 6:17:06 time: 0.3473 data_time: 0.0045 loss: 1.8287 03/03 19:32:55 - mmengine - INFO - Epoch(train) [40][3000/5005] lr: 6.6937e-02 eta: 1 day, 6:16:29 time: 0.3428 data_time: 0.0048 loss: 2.0989 03/03 19:33:29 - mmengine - INFO - Epoch(train) [40][3100/5005] lr: 6.6937e-02 eta: 1 day, 6:15:51 time: 0.3595 data_time: 0.0046 loss: 1.8753 03/03 19:34:05 - mmengine - INFO - Epoch(train) [40][3200/5005] lr: 6.6937e-02 eta: 1 day, 6:15:13 time: 0.3467 data_time: 0.0048 loss: 2.0047 03/03 19:34:40 - mmengine - INFO - Epoch(train) [40][3300/5005] lr: 6.6937e-02 eta: 1 day, 6:14:36 time: 0.3495 data_time: 0.0047 loss: 2.0362 03/03 19:35:15 - mmengine - INFO - Epoch(train) [40][3400/5005] lr: 6.6937e-02 eta: 1 day, 6:13:59 time: 0.3503 data_time: 0.0046 loss: 2.0212 03/03 19:35:51 - mmengine - INFO - Epoch(train) [40][3500/5005] lr: 6.6937e-02 eta: 1 day, 6:13:22 time: 0.3449 data_time: 0.0051 loss: 1.8777 03/03 19:36:26 - mmengine - INFO - Epoch(train) [40][3600/5005] lr: 6.6937e-02 eta: 1 day, 6:12:45 time: 0.3664 data_time: 0.0044 loss: 2.1206 03/03 19:37:01 - mmengine - INFO - Epoch(train) [40][3700/5005] lr: 6.6937e-02 eta: 1 day, 6:12:07 time: 0.3395 data_time: 0.0046 loss: 2.1251 03/03 19:37:37 - mmengine - INFO - Epoch(train) [40][3800/5005] lr: 6.6937e-02 eta: 1 day, 6:11:30 time: 0.3492 data_time: 0.0045 loss: 2.1472 03/03 19:37:38 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 19:38:12 - mmengine - INFO - Epoch(train) [40][3900/5005] lr: 6.6937e-02 eta: 1 day, 6:10:52 time: 0.3652 data_time: 0.0045 loss: 2.0776 03/03 19:38:47 - mmengine - INFO - Epoch(train) [40][4000/5005] lr: 6.6937e-02 eta: 1 day, 6:10:15 time: 0.3549 data_time: 0.0045 loss: 2.1186 03/03 19:39:22 - mmengine - INFO - Epoch(train) [40][4100/5005] lr: 6.6937e-02 eta: 1 day, 6:09:37 time: 0.3584 data_time: 0.0046 loss: 1.8751 03/03 19:39:57 - mmengine - INFO - Epoch(train) [40][4200/5005] lr: 6.6937e-02 eta: 1 day, 6:08:59 time: 0.3431 data_time: 0.0052 loss: 2.1580 03/03 19:40:33 - mmengine - INFO - Epoch(train) [40][4300/5005] lr: 6.6937e-02 eta: 1 day, 6:08:22 time: 0.3485 data_time: 0.0045 loss: 2.0105 03/03 19:41:08 - mmengine - INFO - Epoch(train) [40][4400/5005] lr: 6.6937e-02 eta: 1 day, 6:07:46 time: 0.3697 data_time: 0.0048 loss: 1.9902 03/03 19:41:43 - mmengine - INFO - Epoch(train) [40][4500/5005] lr: 6.6937e-02 eta: 1 day, 6:07:08 time: 0.3562 data_time: 0.0046 loss: 2.1220 03/03 19:42:19 - mmengine - INFO - Epoch(train) [40][4600/5005] lr: 6.6937e-02 eta: 1 day, 6:06:31 time: 0.3432 data_time: 0.0046 loss: 1.9892 03/03 19:42:54 - mmengine - INFO - Epoch(train) [40][4700/5005] lr: 6.6937e-02 eta: 1 day, 6:05:53 time: 0.3625 data_time: 0.0045 loss: 2.2113 03/03 19:43:29 - mmengine - INFO - Epoch(train) [40][4800/5005] lr: 6.6937e-02 eta: 1 day, 6:05:16 time: 0.3532 data_time: 0.0045 loss: 1.7942 03/03 19:43:31 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 19:44:06 - mmengine - INFO - Epoch(train) [40][4900/5005] lr: 6.6937e-02 eta: 1 day, 6:04:41 time: 0.4120 data_time: 0.0061 loss: 1.9117 03/03 19:44:48 - mmengine - INFO - Epoch(train) [40][5000/5005] lr: 6.6937e-02 eta: 1 day, 6:04:14 time: 0.4070 data_time: 0.0050 loss: 2.1149 03/03 19:44:50 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 19:44:53 - mmengine - INFO - Saving checkpoint at 40 epochs 03/03 19:45:10 - mmengine - INFO - Epoch(val) [40][100/196] eta: 0:00:15 time: 0.0460 data_time: 0.0003 03/03 19:45:27 - mmengine - INFO - Epoch(val) [40][196/196] accuracy/top1: 58.2460 accuracy/top5: 82.8440 03/03 19:46:10 - mmengine - INFO - Epoch(train) [41][ 100/5005] lr: 6.5451e-02 eta: 1 day, 6:03:48 time: 0.3569 data_time: 0.0046 loss: 1.9948 03/03 19:46:46 - mmengine - INFO - Epoch(train) [41][ 200/5005] lr: 6.5451e-02 eta: 1 day, 6:03:12 time: 0.3676 data_time: 0.0045 loss: 2.0023 03/03 19:47:21 - mmengine - INFO - Epoch(train) [41][ 300/5005] lr: 6.5451e-02 eta: 1 day, 6:02:33 time: 0.3431 data_time: 0.0050 loss: 2.0174 03/03 19:47:57 - mmengine - INFO - Epoch(train) [41][ 400/5005] lr: 6.5451e-02 eta: 1 day, 6:01:57 time: 0.3371 data_time: 0.0046 loss: 1.9442 03/03 19:48:32 - mmengine - INFO - Epoch(train) [41][ 500/5005] lr: 6.5451e-02 eta: 1 day, 6:01:20 time: 0.3584 data_time: 0.0045 loss: 1.8838 03/03 19:49:07 - mmengine - INFO - Epoch(train) [41][ 600/5005] lr: 6.5451e-02 eta: 1 day, 6:00:42 time: 0.3507 data_time: 0.0047 loss: 1.9223 03/03 19:49:43 - mmengine - INFO - Epoch(train) [41][ 700/5005] lr: 6.5451e-02 eta: 1 day, 6:00:06 time: 0.3479 data_time: 0.0046 loss: 1.9244 03/03 19:50:18 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 19:50:18 - mmengine - INFO - Epoch(train) [41][ 800/5005] lr: 6.5451e-02 eta: 1 day, 5:59:28 time: 0.3640 data_time: 0.0046 loss: 1.7783 03/03 19:50:54 - mmengine - INFO - Epoch(train) [41][ 900/5005] lr: 6.5451e-02 eta: 1 day, 5:58:51 time: 0.3447 data_time: 0.0046 loss: 1.9833 03/03 19:51:29 - mmengine - INFO - Epoch(train) [41][1000/5005] lr: 6.5451e-02 eta: 1 day, 5:58:15 time: 0.3549 data_time: 0.0047 loss: 1.9774 03/03 19:52:05 - mmengine - INFO - Epoch(train) [41][1100/5005] lr: 6.5451e-02 eta: 1 day, 5:57:37 time: 0.3556 data_time: 0.0046 loss: 1.9624 03/03 19:52:40 - mmengine - INFO - Epoch(train) [41][1200/5005] lr: 6.5451e-02 eta: 1 day, 5:57:00 time: 0.3499 data_time: 0.0048 loss: 2.1550 03/03 19:53:15 - mmengine - INFO - Epoch(train) [41][1300/5005] lr: 6.5451e-02 eta: 1 day, 5:56:23 time: 0.3516 data_time: 0.0046 loss: 2.1635 03/03 19:53:51 - mmengine - INFO - Epoch(train) [41][1400/5005] lr: 6.5451e-02 eta: 1 day, 5:55:46 time: 0.3426 data_time: 0.0044 loss: 2.0075 03/03 19:54:26 - mmengine - INFO - Epoch(train) [41][1500/5005] lr: 6.5451e-02 eta: 1 day, 5:55:09 time: 0.3590 data_time: 0.0044 loss: 1.8519 03/03 19:55:01 - mmengine - INFO - Epoch(train) [41][1600/5005] lr: 6.5451e-02 eta: 1 day, 5:54:31 time: 0.3515 data_time: 0.0045 loss: 2.0091 03/03 19:55:37 - mmengine - INFO - Epoch(train) [41][1700/5005] lr: 6.5451e-02 eta: 1 day, 5:53:54 time: 0.3588 data_time: 0.0045 loss: 1.8899 03/03 19:56:12 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 19:56:12 - mmengine - INFO - Epoch(train) [41][1800/5005] lr: 6.5451e-02 eta: 1 day, 5:53:17 time: 0.3525 data_time: 0.0044 loss: 2.0276 03/03 19:56:47 - mmengine - INFO - Epoch(train) [41][1900/5005] lr: 6.5451e-02 eta: 1 day, 5:52:40 time: 0.3586 data_time: 0.0045 loss: 2.0248 03/03 19:57:23 - mmengine - INFO - Epoch(train) [41][2000/5005] lr: 6.5451e-02 eta: 1 day, 5:52:03 time: 0.3498 data_time: 0.0044 loss: 1.9326 03/03 19:57:59 - mmengine - INFO - Epoch(train) [41][2100/5005] lr: 6.5451e-02 eta: 1 day, 5:51:26 time: 0.3571 data_time: 0.0045 loss: 2.0101 03/03 19:58:34 - mmengine - INFO - Epoch(train) [41][2200/5005] lr: 6.5451e-02 eta: 1 day, 5:50:48 time: 0.3524 data_time: 0.0045 loss: 1.8482 03/03 19:59:09 - mmengine - INFO - Epoch(train) [41][2300/5005] lr: 6.5451e-02 eta: 1 day, 5:50:11 time: 0.3469 data_time: 0.0048 loss: 1.8603 03/03 19:59:44 - mmengine - INFO - Epoch(train) [41][2400/5005] lr: 6.5451e-02 eta: 1 day, 5:49:34 time: 0.3770 data_time: 0.0044 loss: 1.8884 03/03 20:00:19 - mmengine - INFO - Epoch(train) [41][2500/5005] lr: 6.5451e-02 eta: 1 day, 5:48:57 time: 0.3607 data_time: 0.0046 loss: 1.8761 03/03 20:00:55 - mmengine - INFO - Epoch(train) [41][2600/5005] lr: 6.5451e-02 eta: 1 day, 5:48:19 time: 0.3459 data_time: 0.0046 loss: 2.0027 03/03 20:01:30 - mmengine - INFO - Epoch(train) [41][2700/5005] lr: 6.5451e-02 eta: 1 day, 5:47:42 time: 0.3492 data_time: 0.0045 loss: 2.1348 03/03 20:02:05 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 20:02:05 - mmengine - INFO - Epoch(train) [41][2800/5005] lr: 6.5451e-02 eta: 1 day, 5:47:05 time: 0.3619 data_time: 0.0048 loss: 1.8706 03/03 20:02:40 - mmengine - INFO - Epoch(train) [41][2900/5005] lr: 6.5451e-02 eta: 1 day, 5:46:27 time: 0.3545 data_time: 0.0046 loss: 2.1066 03/03 20:03:16 - mmengine - INFO - Epoch(train) [41][3000/5005] lr: 6.5451e-02 eta: 1 day, 5:45:50 time: 0.3374 data_time: 0.0045 loss: 2.1045 03/03 20:03:51 - mmengine - INFO - Epoch(train) [41][3100/5005] lr: 6.5451e-02 eta: 1 day, 5:45:13 time: 0.3411 data_time: 0.0048 loss: 2.1901 03/03 20:04:26 - mmengine - INFO - Epoch(train) [41][3200/5005] lr: 6.5451e-02 eta: 1 day, 5:44:36 time: 0.3702 data_time: 0.0049 loss: 1.7781 03/03 20:05:01 - mmengine - INFO - Epoch(train) [41][3300/5005] lr: 6.5451e-02 eta: 1 day, 5:43:58 time: 0.3568 data_time: 0.0045 loss: 1.9482 03/03 20:05:37 - mmengine - INFO - Epoch(train) [41][3400/5005] lr: 6.5451e-02 eta: 1 day, 5:43:21 time: 0.3515 data_time: 0.0044 loss: 2.2797 03/03 20:06:12 - mmengine - INFO - Epoch(train) [41][3500/5005] lr: 6.5451e-02 eta: 1 day, 5:42:44 time: 0.3606 data_time: 0.0047 loss: 1.8383 03/03 20:06:47 - mmengine - INFO - Epoch(train) [41][3600/5005] lr: 6.5451e-02 eta: 1 day, 5:42:07 time: 0.3547 data_time: 0.0044 loss: 1.8119 03/03 20:07:23 - mmengine - INFO - Epoch(train) [41][3700/5005] lr: 6.5451e-02 eta: 1 day, 5:41:29 time: 0.3568 data_time: 0.0046 loss: 1.6611 03/03 20:07:58 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 20:07:58 - mmengine - INFO - Epoch(train) [41][3800/5005] lr: 6.5451e-02 eta: 1 day, 5:40:52 time: 0.3498 data_time: 0.0044 loss: 1.9774 03/03 20:08:33 - mmengine - INFO - Epoch(train) [41][3900/5005] lr: 6.5451e-02 eta: 1 day, 5:40:15 time: 0.3479 data_time: 0.0048 loss: 1.9157 03/03 20:09:09 - mmengine - INFO - Epoch(train) [41][4000/5005] lr: 6.5451e-02 eta: 1 day, 5:39:38 time: 0.3584 data_time: 0.0046 loss: 2.0135 03/03 20:09:44 - mmengine - INFO - Epoch(train) [41][4100/5005] lr: 6.5451e-02 eta: 1 day, 5:39:00 time: 0.3584 data_time: 0.0044 loss: 2.0212 03/03 20:10:19 - mmengine - INFO - Epoch(train) [41][4200/5005] lr: 6.5451e-02 eta: 1 day, 5:38:23 time: 0.3341 data_time: 0.0044 loss: 1.9841 03/03 20:10:54 - mmengine - INFO - Epoch(train) [41][4300/5005] lr: 6.5451e-02 eta: 1 day, 5:37:45 time: 0.3484 data_time: 0.0048 loss: 1.9706 03/03 20:11:29 - mmengine - INFO - Epoch(train) [41][4400/5005] lr: 6.5451e-02 eta: 1 day, 5:37:08 time: 0.3431 data_time: 0.0046 loss: 1.8126 03/03 20:12:05 - mmengine - INFO - Epoch(train) [41][4500/5005] lr: 6.5451e-02 eta: 1 day, 5:36:31 time: 0.3467 data_time: 0.0045 loss: 1.8664 03/03 20:12:40 - mmengine - INFO - Epoch(train) [41][4600/5005] lr: 6.5451e-02 eta: 1 day, 5:35:53 time: 0.3621 data_time: 0.0048 loss: 1.8165 03/03 20:13:15 - mmengine - INFO - Epoch(train) [41][4700/5005] lr: 6.5451e-02 eta: 1 day, 5:35:16 time: 0.3414 data_time: 0.0047 loss: 1.7708 03/03 20:13:51 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 20:13:51 - mmengine - INFO - Epoch(train) [41][4800/5005] lr: 6.5451e-02 eta: 1 day, 5:34:39 time: 0.3622 data_time: 0.0047 loss: 2.0066 03/03 20:14:27 - mmengine - INFO - Epoch(train) [41][4900/5005] lr: 6.5451e-02 eta: 1 day, 5:34:04 time: 0.4035 data_time: 0.0047 loss: 1.8169 03/03 20:15:08 - mmengine - INFO - Epoch(train) [41][5000/5005] lr: 6.5451e-02 eta: 1 day, 5:33:35 time: 0.4389 data_time: 0.0047 loss: 1.9858 03/03 20:15:10 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 20:15:13 - mmengine - INFO - Saving checkpoint at 41 epochs 03/03 20:15:30 - mmengine - INFO - Epoch(val) [41][100/196] eta: 0:00:14 time: 0.0462 data_time: 0.0003 03/03 20:15:46 - mmengine - INFO - Epoch(val) [41][196/196] accuracy/top1: 59.7900 accuracy/top5: 83.4580 03/03 20:16:32 - mmengine - INFO - Epoch(train) [42][ 100/5005] lr: 6.3950e-02 eta: 1 day, 5:33:11 time: 0.3715 data_time: 0.0052 loss: 2.1947 03/03 20:17:07 - mmengine - INFO - Epoch(train) [42][ 200/5005] lr: 6.3950e-02 eta: 1 day, 5:32:34 time: 0.3476 data_time: 0.0045 loss: 2.0269 03/03 20:17:43 - mmengine - INFO - Epoch(train) [42][ 300/5005] lr: 6.3950e-02 eta: 1 day, 5:31:57 time: 0.3465 data_time: 0.0048 loss: 1.6987 03/03 20:18:19 - mmengine - INFO - Epoch(train) [42][ 400/5005] lr: 6.3950e-02 eta: 1 day, 5:31:21 time: 0.3460 data_time: 0.0048 loss: 2.1681 03/03 20:18:54 - mmengine - INFO - Epoch(train) [42][ 500/5005] lr: 6.3950e-02 eta: 1 day, 5:30:44 time: 0.3527 data_time: 0.0045 loss: 1.9276 03/03 20:19:31 - mmengine - INFO - Epoch(train) [42][ 600/5005] lr: 6.3950e-02 eta: 1 day, 5:30:08 time: 0.3491 data_time: 0.0049 loss: 1.8911 03/03 20:20:06 - mmengine - INFO - Epoch(train) [42][ 700/5005] lr: 6.3950e-02 eta: 1 day, 5:29:31 time: 0.3484 data_time: 0.0047 loss: 1.7921 03/03 20:20:39 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 20:20:41 - mmengine - INFO - Epoch(train) [42][ 800/5005] lr: 6.3950e-02 eta: 1 day, 5:28:53 time: 0.3499 data_time: 0.0048 loss: 1.9499 03/03 20:21:17 - mmengine - INFO - Epoch(train) [42][ 900/5005] lr: 6.3950e-02 eta: 1 day, 5:28:17 time: 0.3472 data_time: 0.0049 loss: 1.7787 03/03 20:21:52 - mmengine - INFO - Epoch(train) [42][1000/5005] lr: 6.3950e-02 eta: 1 day, 5:27:40 time: 0.3469 data_time: 0.0048 loss: 2.0716 03/03 20:22:27 - mmengine - INFO - Epoch(train) [42][1100/5005] lr: 6.3950e-02 eta: 1 day, 5:27:02 time: 0.3474 data_time: 0.0045 loss: 2.0986 03/03 20:23:03 - mmengine - INFO - Epoch(train) [42][1200/5005] lr: 6.3950e-02 eta: 1 day, 5:26:26 time: 0.3825 data_time: 0.0045 loss: 2.0419 03/03 20:23:38 - mmengine - INFO - Epoch(train) [42][1300/5005] lr: 6.3950e-02 eta: 1 day, 5:25:49 time: 0.3567 data_time: 0.0045 loss: 1.9057 03/03 20:24:14 - mmengine - INFO - Epoch(train) [42][1400/5005] lr: 6.3950e-02 eta: 1 day, 5:25:12 time: 0.3540 data_time: 0.0045 loss: 1.8075 03/03 20:24:49 - mmengine - INFO - Epoch(train) [42][1500/5005] lr: 6.3950e-02 eta: 1 day, 5:24:34 time: 0.3470 data_time: 0.0045 loss: 2.0059 03/03 20:25:24 - mmengine - INFO - Epoch(train) [42][1600/5005] lr: 6.3950e-02 eta: 1 day, 5:23:57 time: 0.3456 data_time: 0.0044 loss: 1.9320 03/03 20:26:00 - mmengine - INFO - Epoch(train) [42][1700/5005] lr: 6.3950e-02 eta: 1 day, 5:23:20 time: 0.3403 data_time: 0.0047 loss: 1.8524 03/03 20:26:33 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 20:26:35 - mmengine - INFO - Epoch(train) [42][1800/5005] lr: 6.3950e-02 eta: 1 day, 5:22:43 time: 0.3618 data_time: 0.0045 loss: 1.9383 03/03 20:27:11 - mmengine - INFO - Epoch(train) [42][1900/5005] lr: 6.3950e-02 eta: 1 day, 5:22:06 time: 0.3470 data_time: 0.0043 loss: 1.9384 03/03 20:27:47 - mmengine - INFO - Epoch(train) [42][2000/5005] lr: 6.3950e-02 eta: 1 day, 5:21:30 time: 0.3788 data_time: 0.0045 loss: 1.7402 03/03 20:28:22 - mmengine - INFO - Epoch(train) [42][2100/5005] lr: 6.3950e-02 eta: 1 day, 5:20:53 time: 0.3765 data_time: 0.0046 loss: 1.9498 03/03 20:28:57 - mmengine - INFO - Epoch(train) [42][2200/5005] lr: 6.3950e-02 eta: 1 day, 5:20:16 time: 0.3442 data_time: 0.0045 loss: 1.8627 03/03 20:29:32 - mmengine - INFO - Epoch(train) [42][2300/5005] lr: 6.3950e-02 eta: 1 day, 5:19:38 time: 0.3509 data_time: 0.0048 loss: 1.6800 03/03 20:30:08 - mmengine - INFO - Epoch(train) [42][2400/5005] lr: 6.3950e-02 eta: 1 day, 5:19:01 time: 0.3444 data_time: 0.0046 loss: 1.9286 03/03 20:30:44 - mmengine - INFO - Epoch(train) [42][2500/5005] lr: 6.3950e-02 eta: 1 day, 5:18:25 time: 0.3631 data_time: 0.0046 loss: 1.8415 03/03 20:31:19 - mmengine - INFO - Epoch(train) [42][2600/5005] lr: 6.3950e-02 eta: 1 day, 5:17:47 time: 0.3581 data_time: 0.0046 loss: 2.0892 03/03 20:31:54 - mmengine - INFO - Epoch(train) [42][2700/5005] lr: 6.3950e-02 eta: 1 day, 5:17:10 time: 0.3467 data_time: 0.0046 loss: 2.0540 03/03 20:32:28 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 20:32:30 - mmengine - INFO - Epoch(train) [42][2800/5005] lr: 6.3950e-02 eta: 1 day, 5:16:33 time: 0.3543 data_time: 0.0046 loss: 1.9659 03/03 20:33:05 - mmengine - INFO - Epoch(train) [42][2900/5005] lr: 6.3950e-02 eta: 1 day, 5:15:56 time: 0.3617 data_time: 0.0045 loss: 2.0419 03/03 20:33:41 - mmengine - INFO - Epoch(train) [42][3000/5005] lr: 6.3950e-02 eta: 1 day, 5:15:19 time: 0.3507 data_time: 0.0047 loss: 1.9689 03/03 20:34:16 - mmengine - INFO - Epoch(train) [42][3100/5005] lr: 6.3950e-02 eta: 1 day, 5:14:42 time: 0.3411 data_time: 0.0044 loss: 1.9386 03/03 20:34:51 - mmengine - INFO - Epoch(train) [42][3200/5005] lr: 6.3950e-02 eta: 1 day, 5:14:05 time: 0.3428 data_time: 0.0047 loss: 1.5937 03/03 20:35:27 - mmengine - INFO - Epoch(train) [42][3300/5005] lr: 6.3950e-02 eta: 1 day, 5:13:28 time: 0.3514 data_time: 0.0045 loss: 2.0082 03/03 20:36:02 - mmengine - INFO - Epoch(train) [42][3400/5005] lr: 6.3950e-02 eta: 1 day, 5:12:51 time: 0.3659 data_time: 0.0047 loss: 1.9407 03/03 20:36:37 - mmengine - INFO - Epoch(train) [42][3500/5005] lr: 6.3950e-02 eta: 1 day, 5:12:14 time: 0.3468 data_time: 0.0045 loss: 1.8183 03/03 20:37:13 - mmengine - INFO - Epoch(train) [42][3600/5005] lr: 6.3950e-02 eta: 1 day, 5:11:37 time: 0.3609 data_time: 0.0047 loss: 1.9357 03/03 20:37:48 - mmengine - INFO - Epoch(train) [42][3700/5005] lr: 6.3950e-02 eta: 1 day, 5:11:00 time: 0.3652 data_time: 0.0048 loss: 1.8309 03/03 20:38:22 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 20:38:24 - mmengine - INFO - Epoch(train) [42][3800/5005] lr: 6.3950e-02 eta: 1 day, 5:10:23 time: 0.3556 data_time: 0.0045 loss: 1.8635 03/03 20:38:59 - mmengine - INFO - Epoch(train) [42][3900/5005] lr: 6.3950e-02 eta: 1 day, 5:09:46 time: 0.3441 data_time: 0.0045 loss: 1.9321 03/03 20:39:34 - mmengine - INFO - Epoch(train) [42][4000/5005] lr: 6.3950e-02 eta: 1 day, 5:09:09 time: 0.3610 data_time: 0.0044 loss: 2.0910 03/03 20:40:10 - mmengine - INFO - Epoch(train) [42][4100/5005] lr: 6.3950e-02 eta: 1 day, 5:08:32 time: 0.3540 data_time: 0.0048 loss: 1.9544 03/03 20:40:45 - mmengine - INFO - Epoch(train) [42][4200/5005] lr: 6.3950e-02 eta: 1 day, 5:07:55 time: 0.3596 data_time: 0.0051 loss: 1.6949 03/03 20:41:20 - mmengine - INFO - Epoch(train) [42][4300/5005] lr: 6.3950e-02 eta: 1 day, 5:07:18 time: 0.3510 data_time: 0.0044 loss: 1.9147 03/03 20:41:56 - mmengine - INFO - Epoch(train) [42][4400/5005] lr: 6.3950e-02 eta: 1 day, 5:06:40 time: 0.3828 data_time: 0.0045 loss: 2.0137 03/03 20:42:31 - mmengine - INFO - Epoch(train) [42][4500/5005] lr: 6.3950e-02 eta: 1 day, 5:06:03 time: 0.3605 data_time: 0.0047 loss: 1.9694 03/03 20:43:06 - mmengine - INFO - Epoch(train) [42][4600/5005] lr: 6.3950e-02 eta: 1 day, 5:05:26 time: 0.3475 data_time: 0.0047 loss: 1.8866 03/03 20:43:41 - mmengine - INFO - Epoch(train) [42][4700/5005] lr: 6.3950e-02 eta: 1 day, 5:04:48 time: 0.3432 data_time: 0.0045 loss: 2.0391 03/03 20:44:15 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 20:44:17 - mmengine - INFO - Epoch(train) [42][4800/5005] lr: 6.3950e-02 eta: 1 day, 5:04:12 time: 0.3530 data_time: 0.0050 loss: 1.9941 03/03 20:44:53 - mmengine - INFO - Epoch(train) [42][4900/5005] lr: 6.3950e-02 eta: 1 day, 5:03:35 time: 0.3679 data_time: 0.0046 loss: 1.9170 03/03 20:45:35 - mmengine - INFO - Epoch(train) [42][5000/5005] lr: 6.3950e-02 eta: 1 day, 5:03:08 time: 0.4119 data_time: 0.0046 loss: 1.8280 03/03 20:45:37 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 20:45:40 - mmengine - INFO - Saving checkpoint at 42 epochs 03/03 20:45:57 - mmengine - INFO - Epoch(val) [42][100/196] eta: 0:00:14 time: 0.0419 data_time: 0.0003 03/03 20:46:14 - mmengine - INFO - Epoch(val) [42][196/196] accuracy/top1: 58.8740 accuracy/top5: 82.2380 03/03 20:46:58 - mmengine - INFO - Epoch(train) [43][ 100/5005] lr: 6.2434e-02 eta: 1 day, 5:02:43 time: 0.3490 data_time: 0.0050 loss: 1.8122 03/03 20:47:35 - mmengine - INFO - Epoch(train) [43][ 200/5005] lr: 6.2434e-02 eta: 1 day, 5:02:07 time: 0.3461 data_time: 0.0045 loss: 1.8187 03/03 20:48:10 - mmengine - INFO - Epoch(train) [43][ 300/5005] lr: 6.2434e-02 eta: 1 day, 5:01:29 time: 0.3414 data_time: 0.0049 loss: 1.6813 03/03 20:48:45 - mmengine - INFO - Epoch(train) [43][ 400/5005] lr: 6.2434e-02 eta: 1 day, 5:00:53 time: 0.3767 data_time: 0.0045 loss: 1.7953 03/03 20:49:21 - mmengine - INFO - Epoch(train) [43][ 500/5005] lr: 6.2434e-02 eta: 1 day, 5:00:16 time: 0.3548 data_time: 0.0046 loss: 1.6879 03/03 20:49:57 - mmengine - INFO - Epoch(train) [43][ 600/5005] lr: 6.2434e-02 eta: 1 day, 4:59:40 time: 0.3563 data_time: 0.0047 loss: 2.0767 03/03 20:50:33 - mmengine - INFO - Epoch(train) [43][ 700/5005] lr: 6.2434e-02 eta: 1 day, 4:59:03 time: 0.3500 data_time: 0.0046 loss: 2.0048 03/03 20:51:04 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 20:51:08 - mmengine - INFO - Epoch(train) [43][ 800/5005] lr: 6.2434e-02 eta: 1 day, 4:58:26 time: 0.3503 data_time: 0.0045 loss: 1.7673 03/03 20:51:44 - mmengine - INFO - Epoch(train) [43][ 900/5005] lr: 6.2434e-02 eta: 1 day, 4:57:50 time: 0.3611 data_time: 0.0046 loss: 1.8954 03/03 20:52:19 - mmengine - INFO - Epoch(train) [43][1000/5005] lr: 6.2434e-02 eta: 1 day, 4:57:13 time: 0.3439 data_time: 0.0045 loss: 1.6572 03/03 20:52:55 - mmengine - INFO - Epoch(train) [43][1100/5005] lr: 6.2434e-02 eta: 1 day, 4:56:36 time: 0.3408 data_time: 0.0047 loss: 1.7191 03/03 20:53:30 - mmengine - INFO - Epoch(train) [43][1200/5005] lr: 6.2434e-02 eta: 1 day, 4:55:58 time: 0.3460 data_time: 0.0047 loss: 2.1189 03/03 20:54:05 - mmengine - INFO - Epoch(train) [43][1300/5005] lr: 6.2434e-02 eta: 1 day, 4:55:22 time: 0.3603 data_time: 0.0047 loss: 1.9536 03/03 20:54:41 - mmengine - INFO - Epoch(train) [43][1400/5005] lr: 6.2434e-02 eta: 1 day, 4:54:45 time: 0.3518 data_time: 0.0048 loss: 1.8922 03/03 20:55:16 - mmengine - INFO - Epoch(train) [43][1500/5005] lr: 6.2434e-02 eta: 1 day, 4:54:08 time: 0.3409 data_time: 0.0045 loss: 1.9797 03/03 20:55:52 - mmengine - INFO - Epoch(train) [43][1600/5005] lr: 6.2434e-02 eta: 1 day, 4:53:31 time: 0.3565 data_time: 0.0046 loss: 1.8729 03/03 20:56:27 - mmengine - INFO - Epoch(train) [43][1700/5005] lr: 6.2434e-02 eta: 1 day, 4:52:54 time: 0.3644 data_time: 0.0045 loss: 1.8102 03/03 20:56:59 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 20:57:03 - mmengine - INFO - Epoch(train) [43][1800/5005] lr: 6.2434e-02 eta: 1 day, 4:52:17 time: 0.3563 data_time: 0.0044 loss: 1.7383 03/03 20:57:38 - mmengine - INFO - Epoch(train) [43][1900/5005] lr: 6.2434e-02 eta: 1 day, 4:51:39 time: 0.3474 data_time: 0.0045 loss: 1.8186 03/03 20:58:13 - mmengine - INFO - Epoch(train) [43][2000/5005] lr: 6.2434e-02 eta: 1 day, 4:51:02 time: 0.3469 data_time: 0.0048 loss: 2.0117 03/03 20:58:48 - mmengine - INFO - Epoch(train) [43][2100/5005] lr: 6.2434e-02 eta: 1 day, 4:50:25 time: 0.3592 data_time: 0.0049 loss: 2.0764 03/03 20:59:24 - mmengine - INFO - Epoch(train) [43][2200/5005] lr: 6.2434e-02 eta: 1 day, 4:49:48 time: 0.3569 data_time: 0.0045 loss: 2.0212 03/03 20:59:59 - mmengine - INFO - Epoch(train) [43][2300/5005] lr: 6.2434e-02 eta: 1 day, 4:49:11 time: 0.3395 data_time: 0.0048 loss: 2.0381 03/03 21:00:34 - mmengine - INFO - Epoch(train) [43][2400/5005] lr: 6.2434e-02 eta: 1 day, 4:48:34 time: 0.3735 data_time: 0.0045 loss: 1.6844 03/03 21:01:10 - mmengine - INFO - Epoch(train) [43][2500/5005] lr: 6.2434e-02 eta: 1 day, 4:47:57 time: 0.3507 data_time: 0.0048 loss: 2.0025 03/03 21:01:45 - mmengine - INFO - Epoch(train) [43][2600/5005] lr: 6.2434e-02 eta: 1 day, 4:47:21 time: 0.3548 data_time: 0.0046 loss: 2.0658 03/03 21:02:21 - mmengine - INFO - Epoch(train) [43][2700/5005] lr: 6.2434e-02 eta: 1 day, 4:46:43 time: 0.3594 data_time: 0.0048 loss: 1.9911 03/03 21:02:52 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 21:02:56 - mmengine - INFO - Epoch(train) [43][2800/5005] lr: 6.2434e-02 eta: 1 day, 4:46:07 time: 0.3619 data_time: 0.0046 loss: 1.8050 03/03 21:03:31 - mmengine - INFO - Epoch(train) [43][2900/5005] lr: 6.2434e-02 eta: 1 day, 4:45:29 time: 0.3603 data_time: 0.0048 loss: 1.7897 03/03 21:04:07 - mmengine - INFO - Epoch(train) [43][3000/5005] lr: 6.2434e-02 eta: 1 day, 4:44:52 time: 0.3385 data_time: 0.0047 loss: 1.6817 03/03 21:04:42 - mmengine - INFO - Epoch(train) [43][3100/5005] lr: 6.2434e-02 eta: 1 day, 4:44:15 time: 0.3454 data_time: 0.0048 loss: 2.0508 03/03 21:05:17 - mmengine - INFO - Epoch(train) [43][3200/5005] lr: 6.2434e-02 eta: 1 day, 4:43:38 time: 0.3368 data_time: 0.0048 loss: 1.9369 03/03 21:05:53 - mmengine - INFO - Epoch(train) [43][3300/5005] lr: 6.2434e-02 eta: 1 day, 4:43:01 time: 0.3478 data_time: 0.0046 loss: 1.9850 03/03 21:06:28 - mmengine - INFO - Epoch(train) [43][3400/5005] lr: 6.2434e-02 eta: 1 day, 4:42:24 time: 0.3569 data_time: 0.0049 loss: 1.8154 03/03 21:07:03 - mmengine - INFO - Epoch(train) [43][3500/5005] lr: 6.2434e-02 eta: 1 day, 4:41:47 time: 0.3465 data_time: 0.0046 loss: 1.9815 03/03 21:07:39 - mmengine - INFO - Epoch(train) [43][3600/5005] lr: 6.2434e-02 eta: 1 day, 4:41:10 time: 0.3637 data_time: 0.0045 loss: 2.1026 03/03 21:08:14 - mmengine - INFO - Epoch(train) [43][3700/5005] lr: 6.2434e-02 eta: 1 day, 4:40:33 time: 0.3566 data_time: 0.0048 loss: 2.0400 03/03 21:08:46 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 21:08:49 - mmengine - INFO - Epoch(train) [43][3800/5005] lr: 6.2434e-02 eta: 1 day, 4:39:55 time: 0.3428 data_time: 0.0046 loss: 1.8902 03/03 21:09:25 - mmengine - INFO - Epoch(train) [43][3900/5005] lr: 6.2434e-02 eta: 1 day, 4:39:19 time: 0.3431 data_time: 0.0044 loss: 1.8472 03/03 21:10:00 - mmengine - INFO - Epoch(train) [43][4000/5005] lr: 6.2434e-02 eta: 1 day, 4:38:42 time: 0.3530 data_time: 0.0049 loss: 2.0048 03/03 21:10:35 - mmengine - INFO - Epoch(train) [43][4100/5005] lr: 6.2434e-02 eta: 1 day, 4:38:04 time: 0.3458 data_time: 0.0046 loss: 2.0431 03/03 21:11:10 - mmengine - INFO - Epoch(train) [43][4200/5005] lr: 6.2434e-02 eta: 1 day, 4:37:27 time: 0.3560 data_time: 0.0044 loss: 1.7805 03/03 21:11:46 - mmengine - INFO - Epoch(train) [43][4300/5005] lr: 6.2434e-02 eta: 1 day, 4:36:50 time: 0.3610 data_time: 0.0046 loss: 2.0115 03/03 21:12:21 - mmengine - INFO - Epoch(train) [43][4400/5005] lr: 6.2434e-02 eta: 1 day, 4:36:14 time: 0.3693 data_time: 0.0044 loss: 1.8133 03/03 21:12:56 - mmengine - INFO - Epoch(train) [43][4500/5005] lr: 6.2434e-02 eta: 1 day, 4:35:36 time: 0.3516 data_time: 0.0046 loss: 1.9417 03/03 21:13:31 - mmengine - INFO - Epoch(train) [43][4600/5005] lr: 6.2434e-02 eta: 1 day, 4:34:59 time: 0.3566 data_time: 0.0046 loss: 2.0720 03/03 21:14:07 - mmengine - INFO - Epoch(train) [43][4700/5005] lr: 6.2434e-02 eta: 1 day, 4:34:22 time: 0.3433 data_time: 0.0044 loss: 2.0712 03/03 21:14:38 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 21:14:42 - mmengine - INFO - Epoch(train) [43][4800/5005] lr: 6.2434e-02 eta: 1 day, 4:33:45 time: 0.3710 data_time: 0.0046 loss: 2.0738 03/03 21:15:19 - mmengine - INFO - Epoch(train) [43][4900/5005] lr: 6.2434e-02 eta: 1 day, 4:33:10 time: 0.4119 data_time: 0.0051 loss: 2.1411 03/03 21:16:03 - mmengine - INFO - Epoch(train) [43][5000/5005] lr: 6.2434e-02 eta: 1 day, 4:32:44 time: 0.4470 data_time: 0.0048 loss: 1.6470 03/03 21:16:05 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 21:16:08 - mmengine - INFO - Saving checkpoint at 43 epochs 03/03 21:16:25 - mmengine - INFO - Epoch(val) [43][100/196] eta: 0:00:14 time: 0.0421 data_time: 0.0002 03/03 21:16:41 - mmengine - INFO - Epoch(val) [43][196/196] accuracy/top1: 60.9100 accuracy/top5: 84.0800 03/03 21:17:25 - mmengine - INFO - Epoch(train) [44][ 100/5005] lr: 6.0907e-02 eta: 1 day, 4:32:17 time: 0.3474 data_time: 0.0046 loss: 1.9082 03/03 21:18:01 - mmengine - INFO - Epoch(train) [44][ 200/5005] lr: 6.0907e-02 eta: 1 day, 4:31:40 time: 0.3403 data_time: 0.0048 loss: 1.8822 03/03 21:18:37 - mmengine - INFO - Epoch(train) [44][ 300/5005] lr: 6.0907e-02 eta: 1 day, 4:31:04 time: 0.3885 data_time: 0.0047 loss: 1.8279 03/03 21:19:12 - mmengine - INFO - Epoch(train) [44][ 400/5005] lr: 6.0907e-02 eta: 1 day, 4:30:27 time: 0.3508 data_time: 0.0050 loss: 1.8465 03/03 21:19:48 - mmengine - INFO - Epoch(train) [44][ 500/5005] lr: 6.0907e-02 eta: 1 day, 4:29:50 time: 0.3704 data_time: 0.0047 loss: 1.6568 03/03 21:20:23 - mmengine - INFO - Epoch(train) [44][ 600/5005] lr: 6.0907e-02 eta: 1 day, 4:29:13 time: 0.3610 data_time: 0.0045 loss: 1.9055 03/03 21:20:58 - mmengine - INFO - Epoch(train) [44][ 700/5005] lr: 6.0907e-02 eta: 1 day, 4:28:36 time: 0.3455 data_time: 0.0046 loss: 1.8899 03/03 21:21:28 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 21:21:34 - mmengine - INFO - Epoch(train) [44][ 800/5005] lr: 6.0907e-02 eta: 1 day, 4:27:59 time: 0.3551 data_time: 0.0046 loss: 2.0000 03/03 21:22:09 - mmengine - INFO - Epoch(train) [44][ 900/5005] lr: 6.0907e-02 eta: 1 day, 4:27:22 time: 0.3647 data_time: 0.0046 loss: 1.8618 03/03 21:22:44 - mmengine - INFO - Epoch(train) [44][1000/5005] lr: 6.0907e-02 eta: 1 day, 4:26:45 time: 0.3705 data_time: 0.0046 loss: 1.8700 03/03 21:23:20 - mmengine - INFO - Epoch(train) [44][1100/5005] lr: 6.0907e-02 eta: 1 day, 4:26:08 time: 0.3600 data_time: 0.0048 loss: 1.7691 03/03 21:23:55 - mmengine - INFO - Epoch(train) [44][1200/5005] lr: 6.0907e-02 eta: 1 day, 4:25:31 time: 0.3420 data_time: 0.0046 loss: 1.8907 03/03 21:24:31 - mmengine - INFO - Epoch(train) [44][1300/5005] lr: 6.0907e-02 eta: 1 day, 4:24:55 time: 0.3540 data_time: 0.0047 loss: 2.0196 03/03 21:25:06 - mmengine - INFO - Epoch(train) [44][1400/5005] lr: 6.0907e-02 eta: 1 day, 4:24:17 time: 0.3603 data_time: 0.0047 loss: 1.9951 03/03 21:25:41 - mmengine - INFO - Epoch(train) [44][1500/5005] lr: 6.0907e-02 eta: 1 day, 4:23:41 time: 0.3513 data_time: 0.0047 loss: 1.8751 03/03 21:26:17 - mmengine - INFO - Epoch(train) [44][1600/5005] lr: 6.0907e-02 eta: 1 day, 4:23:04 time: 0.3701 data_time: 0.0047 loss: 2.0365 03/03 21:26:52 - mmengine - INFO - Epoch(train) [44][1700/5005] lr: 6.0907e-02 eta: 1 day, 4:22:27 time: 0.3525 data_time: 0.0048 loss: 1.8638 03/03 21:27:22 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 21:27:28 - mmengine - INFO - Epoch(train) [44][1800/5005] lr: 6.0907e-02 eta: 1 day, 4:21:50 time: 0.3529 data_time: 0.0046 loss: 1.8630 03/03 21:28:03 - mmengine - INFO - Epoch(train) [44][1900/5005] lr: 6.0907e-02 eta: 1 day, 4:21:13 time: 0.3620 data_time: 0.0046 loss: 2.0738 03/03 21:28:38 - mmengine - INFO - Epoch(train) [44][2000/5005] lr: 6.0907e-02 eta: 1 day, 4:20:36 time: 0.3461 data_time: 0.0046 loss: 1.7962 03/03 21:29:14 - mmengine - INFO - Epoch(train) [44][2100/5005] lr: 6.0907e-02 eta: 1 day, 4:19:59 time: 0.3447 data_time: 0.0047 loss: 1.9659 03/03 21:29:49 - mmengine - INFO - Epoch(train) [44][2200/5005] lr: 6.0907e-02 eta: 1 day, 4:19:22 time: 0.3485 data_time: 0.0047 loss: 1.7336 03/03 21:30:25 - mmengine - INFO - Epoch(train) [44][2300/5005] lr: 6.0907e-02 eta: 1 day, 4:18:45 time: 0.3515 data_time: 0.0048 loss: 1.9025 03/03 21:31:00 - mmengine - INFO - Epoch(train) [44][2400/5005] lr: 6.0907e-02 eta: 1 day, 4:18:09 time: 0.3409 data_time: 0.0046 loss: 1.8940 03/03 21:31:35 - mmengine - INFO - Epoch(train) [44][2500/5005] lr: 6.0907e-02 eta: 1 day, 4:17:31 time: 0.3732 data_time: 0.0048 loss: 1.8205 03/03 21:32:11 - mmengine - INFO - Epoch(train) [44][2600/5005] lr: 6.0907e-02 eta: 1 day, 4:16:55 time: 0.3563 data_time: 0.0045 loss: 1.7985 03/03 21:32:46 - mmengine - INFO - Epoch(train) [44][2700/5005] lr: 6.0907e-02 eta: 1 day, 4:16:17 time: 0.3491 data_time: 0.0046 loss: 1.8847 03/03 21:33:16 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 21:33:21 - mmengine - INFO - Epoch(train) [44][2800/5005] lr: 6.0907e-02 eta: 1 day, 4:15:40 time: 0.3441 data_time: 0.0045 loss: 2.0354 03/03 21:33:57 - mmengine - INFO - Epoch(train) [44][2900/5005] lr: 6.0907e-02 eta: 1 day, 4:15:03 time: 0.3504 data_time: 0.0046 loss: 1.9481 03/03 21:34:32 - mmengine - INFO - Epoch(train) [44][3000/5005] lr: 6.0907e-02 eta: 1 day, 4:14:26 time: 0.3460 data_time: 0.0049 loss: 1.8612 03/03 21:35:07 - mmengine - INFO - Epoch(train) [44][3100/5005] lr: 6.0907e-02 eta: 1 day, 4:13:49 time: 0.3394 data_time: 0.0046 loss: 1.9500 03/03 21:35:43 - mmengine - INFO - Epoch(train) [44][3200/5005] lr: 6.0907e-02 eta: 1 day, 4:13:12 time: 0.3616 data_time: 0.0045 loss: 1.8011 03/03 21:36:18 - mmengine - INFO - Epoch(train) [44][3300/5005] lr: 6.0907e-02 eta: 1 day, 4:12:35 time: 0.3504 data_time: 0.0047 loss: 1.8866 03/03 21:36:54 - mmengine - INFO - Epoch(train) [44][3400/5005] lr: 6.0907e-02 eta: 1 day, 4:11:58 time: 0.3436 data_time: 0.0046 loss: 1.9435 03/03 21:37:28 - mmengine - INFO - Epoch(train) [44][3500/5005] lr: 6.0907e-02 eta: 1 day, 4:11:21 time: 0.3454 data_time: 0.0046 loss: 1.8357 03/03 21:38:04 - mmengine - INFO - Epoch(train) [44][3600/5005] lr: 6.0907e-02 eta: 1 day, 4:10:44 time: 0.3581 data_time: 0.0047 loss: 1.9051 03/03 21:38:39 - mmengine - INFO - Epoch(train) [44][3700/5005] lr: 6.0907e-02 eta: 1 day, 4:10:07 time: 0.3442 data_time: 0.0046 loss: 1.7053 03/03 21:39:09 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 21:39:14 - mmengine - INFO - Epoch(train) [44][3800/5005] lr: 6.0907e-02 eta: 1 day, 4:09:30 time: 0.3569 data_time: 0.0047 loss: 1.8815 03/03 21:39:49 - mmengine - INFO - Epoch(train) [44][3900/5005] lr: 6.0907e-02 eta: 1 day, 4:08:52 time: 0.3478 data_time: 0.0048 loss: 2.0421 03/03 21:40:25 - mmengine - INFO - Epoch(train) [44][4000/5005] lr: 6.0907e-02 eta: 1 day, 4:08:15 time: 0.3839 data_time: 0.0050 loss: 2.0271 03/03 21:41:00 - mmengine - INFO - Epoch(train) [44][4100/5005] lr: 6.0907e-02 eta: 1 day, 4:07:38 time: 0.3462 data_time: 0.0046 loss: 2.0848 03/03 21:41:35 - mmengine - INFO - Epoch(train) [44][4200/5005] lr: 6.0907e-02 eta: 1 day, 4:07:02 time: 0.3417 data_time: 0.0048 loss: 1.9685 03/03 21:42:10 - mmengine - INFO - Epoch(train) [44][4300/5005] lr: 6.0907e-02 eta: 1 day, 4:06:24 time: 0.3576 data_time: 0.0047 loss: 1.9779 03/03 21:42:46 - mmengine - INFO - Epoch(train) [44][4400/5005] lr: 6.0907e-02 eta: 1 day, 4:05:47 time: 0.3503 data_time: 0.0048 loss: 1.6397 03/03 21:43:21 - mmengine - INFO - Epoch(train) [44][4500/5005] lr: 6.0907e-02 eta: 1 day, 4:05:10 time: 0.3576 data_time: 0.0048 loss: 1.7231 03/03 21:43:57 - mmengine - INFO - Epoch(train) [44][4600/5005] lr: 6.0907e-02 eta: 1 day, 4:04:33 time: 0.3638 data_time: 0.0046 loss: 1.8871 03/03 21:44:32 - mmengine - INFO - Epoch(train) [44][4700/5005] lr: 6.0907e-02 eta: 1 day, 4:03:56 time: 0.3383 data_time: 0.0046 loss: 1.8733 03/03 21:45:02 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 21:45:07 - mmengine - INFO - Epoch(train) [44][4800/5005] lr: 6.0907e-02 eta: 1 day, 4:03:20 time: 0.3461 data_time: 0.0046 loss: 1.8037 03/03 21:45:44 - mmengine - INFO - Epoch(train) [44][4900/5005] lr: 6.0907e-02 eta: 1 day, 4:02:44 time: 0.3826 data_time: 0.0057 loss: 1.9271 03/03 21:46:26 - mmengine - INFO - Epoch(train) [44][5000/5005] lr: 6.0907e-02 eta: 1 day, 4:02:16 time: 0.4468 data_time: 0.0052 loss: 1.8414 03/03 21:46:28 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 21:46:31 - mmengine - INFO - Saving checkpoint at 44 epochs 03/03 21:46:48 - mmengine - INFO - Epoch(val) [44][100/196] eta: 0:00:14 time: 0.0479 data_time: 0.0002 03/03 21:47:04 - mmengine - INFO - Epoch(val) [44][196/196] accuracy/top1: 58.2560 accuracy/top5: 82.5540 03/03 21:47:49 - mmengine - INFO - Epoch(train) [45][ 100/5005] lr: 5.9369e-02 eta: 1 day, 4:01:50 time: 0.3632 data_time: 0.0055 loss: 1.8713 03/03 21:48:24 - mmengine - INFO - Epoch(train) [45][ 200/5005] lr: 5.9369e-02 eta: 1 day, 4:01:13 time: 0.3697 data_time: 0.0047 loss: 1.8773 03/03 21:49:00 - mmengine - INFO - Epoch(train) [45][ 300/5005] lr: 5.9369e-02 eta: 1 day, 4:00:36 time: 0.3457 data_time: 0.0049 loss: 1.8935 03/03 21:49:36 - mmengine - INFO - Epoch(train) [45][ 400/5005] lr: 5.9369e-02 eta: 1 day, 4:00:00 time: 0.3489 data_time: 0.0048 loss: 2.1305 03/03 21:50:12 - mmengine - INFO - Epoch(train) [45][ 500/5005] lr: 5.9369e-02 eta: 1 day, 3:59:24 time: 0.3750 data_time: 0.0053 loss: 2.1641 03/03 21:50:48 - mmengine - INFO - Epoch(train) [45][ 600/5005] lr: 5.9369e-02 eta: 1 day, 3:58:48 time: 0.3438 data_time: 0.0051 loss: 1.8874 03/03 21:51:24 - mmengine - INFO - Epoch(train) [45][ 700/5005] lr: 5.9369e-02 eta: 1 day, 3:58:11 time: 0.3448 data_time: 0.0047 loss: 1.9783 03/03 21:51:52 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 21:51:59 - mmengine - INFO - Epoch(train) [45][ 800/5005] lr: 5.9369e-02 eta: 1 day, 3:57:35 time: 0.3439 data_time: 0.0046 loss: 1.6957 03/03 21:52:35 - mmengine - INFO - Epoch(train) [45][ 900/5005] lr: 5.9369e-02 eta: 1 day, 3:56:58 time: 0.3755 data_time: 0.0046 loss: 1.7366 03/03 21:53:11 - mmengine - INFO - Epoch(train) [45][1000/5005] lr: 5.9369e-02 eta: 1 day, 3:56:22 time: 0.3729 data_time: 0.0045 loss: 1.6545 03/03 21:53:46 - mmengine - INFO - Epoch(train) [45][1100/5005] lr: 5.9369e-02 eta: 1 day, 3:55:45 time: 0.3465 data_time: 0.0046 loss: 1.9222 03/03 21:54:21 - mmengine - INFO - Epoch(train) [45][1200/5005] lr: 5.9369e-02 eta: 1 day, 3:55:08 time: 0.3418 data_time: 0.0048 loss: 1.8982 03/03 21:54:57 - mmengine - INFO - Epoch(train) [45][1300/5005] lr: 5.9369e-02 eta: 1 day, 3:54:31 time: 0.3416 data_time: 0.0049 loss: 1.9510 03/03 21:55:32 - mmengine - INFO - Epoch(train) [45][1400/5005] lr: 5.9369e-02 eta: 1 day, 3:53:54 time: 0.3456 data_time: 0.0046 loss: 2.0145 03/03 21:56:08 - mmengine - INFO - Epoch(train) [45][1500/5005] lr: 5.9369e-02 eta: 1 day, 3:53:17 time: 0.3579 data_time: 0.0050 loss: 1.8037 03/03 21:56:43 - mmengine - INFO - Epoch(train) [45][1600/5005] lr: 5.9369e-02 eta: 1 day, 3:52:40 time: 0.3538 data_time: 0.0047 loss: 2.0986 03/03 21:57:19 - mmengine - INFO - Epoch(train) [45][1700/5005] lr: 5.9369e-02 eta: 1 day, 3:52:04 time: 0.3412 data_time: 0.0046 loss: 1.9747 03/03 21:57:47 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 21:57:54 - mmengine - INFO - Epoch(train) [45][1800/5005] lr: 5.9369e-02 eta: 1 day, 3:51:27 time: 0.3600 data_time: 0.0048 loss: 1.7673 03/03 21:58:30 - mmengine - INFO - Epoch(train) [45][1900/5005] lr: 5.9369e-02 eta: 1 day, 3:50:50 time: 0.3498 data_time: 0.0047 loss: 1.7965 03/03 21:59:05 - mmengine - INFO - Epoch(train) [45][2000/5005] lr: 5.9369e-02 eta: 1 day, 3:50:13 time: 0.3368 data_time: 0.0048 loss: 1.9642 03/03 21:59:40 - mmengine - INFO - Epoch(train) [45][2100/5005] lr: 5.9369e-02 eta: 1 day, 3:49:36 time: 0.3439 data_time: 0.0046 loss: 1.8514 03/03 22:00:15 - mmengine - INFO - Epoch(train) [45][2200/5005] lr: 5.9369e-02 eta: 1 day, 3:48:59 time: 0.3681 data_time: 0.0050 loss: 1.9292 03/03 22:00:51 - mmengine - INFO - Epoch(train) [45][2300/5005] lr: 5.9369e-02 eta: 1 day, 3:48:22 time: 0.3651 data_time: 0.0046 loss: 1.8509 03/03 22:01:27 - mmengine - INFO - Epoch(train) [45][2400/5005] lr: 5.9369e-02 eta: 1 day, 3:47:46 time: 0.3485 data_time: 0.0047 loss: 1.8297 03/03 22:02:02 - mmengine - INFO - Epoch(train) [45][2500/5005] lr: 5.9369e-02 eta: 1 day, 3:47:09 time: 0.3529 data_time: 0.0047 loss: 2.0708 03/03 22:02:37 - mmengine - INFO - Epoch(train) [45][2600/5005] lr: 5.9369e-02 eta: 1 day, 3:46:31 time: 0.3593 data_time: 0.0046 loss: 1.9986 03/03 22:03:13 - mmengine - INFO - Epoch(train) [45][2700/5005] lr: 5.9369e-02 eta: 1 day, 3:45:55 time: 0.3437 data_time: 0.0049 loss: 2.0344 03/03 22:03:41 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 22:03:48 - mmengine - INFO - Epoch(train) [45][2800/5005] lr: 5.9369e-02 eta: 1 day, 3:45:18 time: 0.3665 data_time: 0.0046 loss: 1.8545 03/03 22:04:23 - mmengine - INFO - Epoch(train) [45][2900/5005] lr: 5.9369e-02 eta: 1 day, 3:44:41 time: 0.3497 data_time: 0.0048 loss: 1.8544 03/03 22:04:59 - mmengine - INFO - Epoch(train) [45][3000/5005] lr: 5.9369e-02 eta: 1 day, 3:44:04 time: 0.3695 data_time: 0.0047 loss: 1.9492 03/03 22:05:34 - mmengine - INFO - Epoch(train) [45][3100/5005] lr: 5.9369e-02 eta: 1 day, 3:43:27 time: 0.3438 data_time: 0.0047 loss: 1.9315 03/03 22:06:10 - mmengine - INFO - Epoch(train) [45][3200/5005] lr: 5.9369e-02 eta: 1 day, 3:42:51 time: 0.3625 data_time: 0.0046 loss: 2.0312 03/03 22:06:45 - mmengine - INFO - Epoch(train) [45][3300/5005] lr: 5.9369e-02 eta: 1 day, 3:42:13 time: 0.3356 data_time: 0.0047 loss: 1.8726 03/03 22:07:20 - mmengine - INFO - Epoch(train) [45][3400/5005] lr: 5.9369e-02 eta: 1 day, 3:41:36 time: 0.3459 data_time: 0.0047 loss: 1.9233 03/03 22:07:55 - mmengine - INFO - Epoch(train) [45][3500/5005] lr: 5.9369e-02 eta: 1 day, 3:40:59 time: 0.3489 data_time: 0.0045 loss: 1.9104 03/03 22:08:31 - mmengine - INFO - Epoch(train) [45][3600/5005] lr: 5.9369e-02 eta: 1 day, 3:40:23 time: 0.3629 data_time: 0.0048 loss: 1.8299 03/03 22:09:06 - mmengine - INFO - Epoch(train) [45][3700/5005] lr: 5.9369e-02 eta: 1 day, 3:39:46 time: 0.3463 data_time: 0.0046 loss: 1.8242 03/03 22:09:35 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 22:09:42 - mmengine - INFO - Epoch(train) [45][3800/5005] lr: 5.9369e-02 eta: 1 day, 3:39:09 time: 0.3490 data_time: 0.0049 loss: 2.1237 03/03 22:10:17 - mmengine - INFO - Epoch(train) [45][3900/5005] lr: 5.9369e-02 eta: 1 day, 3:38:32 time: 0.3443 data_time: 0.0047 loss: 2.0274 03/03 22:10:53 - mmengine - INFO - Epoch(train) [45][4000/5005] lr: 5.9369e-02 eta: 1 day, 3:37:56 time: 0.3711 data_time: 0.0047 loss: 1.9403 03/03 22:11:28 - mmengine - INFO - Epoch(train) [45][4100/5005] lr: 5.9369e-02 eta: 1 day, 3:37:18 time: 0.3427 data_time: 0.0047 loss: 1.7717 03/03 22:12:03 - mmengine - INFO - Epoch(train) [45][4200/5005] lr: 5.9369e-02 eta: 1 day, 3:36:42 time: 0.3640 data_time: 0.0045 loss: 1.8955 03/03 22:12:39 - mmengine - INFO - Epoch(train) [45][4300/5005] lr: 5.9369e-02 eta: 1 day, 3:36:05 time: 0.3505 data_time: 0.0046 loss: 1.8374 03/03 22:13:14 - mmengine - INFO - Epoch(train) [45][4400/5005] lr: 5.9369e-02 eta: 1 day, 3:35:28 time: 0.3544 data_time: 0.0047 loss: 1.8858 03/03 22:13:50 - mmengine - INFO - Epoch(train) [45][4500/5005] lr: 5.9369e-02 eta: 1 day, 3:34:51 time: 0.3462 data_time: 0.0045 loss: 2.0491 03/03 22:14:25 - mmengine - INFO - Epoch(train) [45][4600/5005] lr: 5.9369e-02 eta: 1 day, 3:34:15 time: 0.3500 data_time: 0.0048 loss: 1.9548 03/03 22:15:01 - mmengine - INFO - Epoch(train) [45][4700/5005] lr: 5.9369e-02 eta: 1 day, 3:33:38 time: 0.3474 data_time: 0.0047 loss: 1.9733 03/03 22:15:29 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 22:15:36 - mmengine - INFO - Epoch(train) [45][4800/5005] lr: 5.9369e-02 eta: 1 day, 3:33:01 time: 0.3656 data_time: 0.0050 loss: 2.0078 03/03 22:16:13 - mmengine - INFO - Epoch(train) [45][4900/5005] lr: 5.9369e-02 eta: 1 day, 3:32:26 time: 0.3980 data_time: 0.0050 loss: 2.1481 03/03 22:16:56 - mmengine - INFO - Epoch(train) [45][5000/5005] lr: 5.9369e-02 eta: 1 day, 3:31:58 time: 0.4228 data_time: 0.0057 loss: 1.8280 03/03 22:16:58 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 22:17:01 - mmengine - INFO - Saving checkpoint at 45 epochs 03/03 22:17:18 - mmengine - INFO - Epoch(val) [45][100/196] eta: 0:00:15 time: 0.0475 data_time: 0.0003 03/03 22:17:35 - mmengine - INFO - Epoch(val) [45][196/196] accuracy/top1: 59.6280 accuracy/top5: 83.1280 03/03 22:18:19 - mmengine - INFO - Epoch(train) [46][ 100/5005] lr: 5.7822e-02 eta: 1 day, 3:31:31 time: 0.3603 data_time: 0.0046 loss: 1.8589 03/03 22:18:55 - mmengine - INFO - Epoch(train) [46][ 200/5005] lr: 5.7822e-02 eta: 1 day, 3:30:55 time: 0.3629 data_time: 0.0046 loss: 1.8642 03/03 22:19:31 - mmengine - INFO - Epoch(train) [46][ 300/5005] lr: 5.7822e-02 eta: 1 day, 3:30:19 time: 0.3580 data_time: 0.0048 loss: 1.9599 03/03 22:20:06 - mmengine - INFO - Epoch(train) [46][ 400/5005] lr: 5.7822e-02 eta: 1 day, 3:29:42 time: 0.3415 data_time: 0.0046 loss: 2.0160 03/03 22:20:42 - mmengine - INFO - Epoch(train) [46][ 500/5005] lr: 5.7822e-02 eta: 1 day, 3:29:06 time: 0.3785 data_time: 0.0045 loss: 1.7432 03/03 22:21:17 - mmengine - INFO - Epoch(train) [46][ 600/5005] lr: 5.7822e-02 eta: 1 day, 3:28:28 time: 0.3484 data_time: 0.0048 loss: 1.8202 03/03 22:21:53 - mmengine - INFO - Epoch(train) [46][ 700/5005] lr: 5.7822e-02 eta: 1 day, 3:27:52 time: 0.3433 data_time: 0.0050 loss: 1.7942 03/03 22:22:19 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 22:22:28 - mmengine - INFO - Epoch(train) [46][ 800/5005] lr: 5.7822e-02 eta: 1 day, 3:27:15 time: 0.3601 data_time: 0.0047 loss: 1.7419 03/03 22:23:04 - mmengine - INFO - Epoch(train) [46][ 900/5005] lr: 5.7822e-02 eta: 1 day, 3:26:38 time: 0.3565 data_time: 0.0045 loss: 1.9194 03/03 22:23:39 - mmengine - INFO - Epoch(train) [46][1000/5005] lr: 5.7822e-02 eta: 1 day, 3:26:01 time: 0.3480 data_time: 0.0049 loss: 1.9760 03/03 22:24:14 - mmengine - INFO - Epoch(train) [46][1100/5005] lr: 5.7822e-02 eta: 1 day, 3:25:24 time: 0.3370 data_time: 0.0053 loss: 2.0480 03/03 22:24:50 - mmengine - INFO - Epoch(train) [46][1200/5005] lr: 5.7822e-02 eta: 1 day, 3:24:47 time: 0.3565 data_time: 0.0045 loss: 2.0776 03/03 22:25:25 - mmengine - INFO - Epoch(train) [46][1300/5005] lr: 5.7822e-02 eta: 1 day, 3:24:11 time: 0.3471 data_time: 0.0047 loss: 2.0470 03/03 22:26:01 - mmengine - INFO - Epoch(train) [46][1400/5005] lr: 5.7822e-02 eta: 1 day, 3:23:34 time: 0.3554 data_time: 0.0049 loss: 1.9612 03/03 22:26:36 - mmengine - INFO - Epoch(train) [46][1500/5005] lr: 5.7822e-02 eta: 1 day, 3:22:57 time: 0.3512 data_time: 0.0046 loss: 1.9623 03/03 22:27:11 - mmengine - INFO - Epoch(train) [46][1600/5005] lr: 5.7822e-02 eta: 1 day, 3:22:20 time: 0.3475 data_time: 0.0051 loss: 1.9074 03/03 22:27:46 - mmengine - INFO - Epoch(train) [46][1700/5005] lr: 5.7822e-02 eta: 1 day, 3:21:43 time: 0.3531 data_time: 0.0046 loss: 1.7727 03/03 22:28:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 22:28:22 - mmengine - INFO - Epoch(train) [46][1800/5005] lr: 5.7822e-02 eta: 1 day, 3:21:06 time: 0.3435 data_time: 0.0046 loss: 1.9822 03/03 22:28:57 - mmengine - INFO - Epoch(train) [46][1900/5005] lr: 5.7822e-02 eta: 1 day, 3:20:28 time: 0.3485 data_time: 0.0051 loss: 1.9773 03/03 22:29:32 - mmengine - INFO - Epoch(train) [46][2000/5005] lr: 5.7822e-02 eta: 1 day, 3:19:52 time: 0.3399 data_time: 0.0045 loss: 1.8272 03/03 22:30:08 - mmengine - INFO - Epoch(train) [46][2100/5005] lr: 5.7822e-02 eta: 1 day, 3:19:15 time: 0.3687 data_time: 0.0051 loss: 1.9597 03/03 22:30:43 - mmengine - INFO - Epoch(train) [46][2200/5005] lr: 5.7822e-02 eta: 1 day, 3:18:38 time: 0.3396 data_time: 0.0049 loss: 1.8195 03/03 22:31:18 - mmengine - INFO - Epoch(train) [46][2300/5005] lr: 5.7822e-02 eta: 1 day, 3:18:01 time: 0.3441 data_time: 0.0048 loss: 1.8122 03/03 22:31:53 - mmengine - INFO - Epoch(train) [46][2400/5005] lr: 5.7822e-02 eta: 1 day, 3:17:24 time: 0.3520 data_time: 0.0049 loss: 2.1713 03/03 22:32:29 - mmengine - INFO - Epoch(train) [46][2500/5005] lr: 5.7822e-02 eta: 1 day, 3:16:47 time: 0.3549 data_time: 0.0045 loss: 2.0004 03/03 22:33:04 - mmengine - INFO - Epoch(train) [46][2600/5005] lr: 5.7822e-02 eta: 1 day, 3:16:10 time: 0.3568 data_time: 0.0047 loss: 2.0774 03/03 22:33:40 - mmengine - INFO - Epoch(train) [46][2700/5005] lr: 5.7822e-02 eta: 1 day, 3:15:33 time: 0.3418 data_time: 0.0049 loss: 2.0905 03/03 22:34:06 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 22:34:15 - mmengine - INFO - Epoch(train) [46][2800/5005] lr: 5.7822e-02 eta: 1 day, 3:14:57 time: 0.3668 data_time: 0.0051 loss: 2.0500 03/03 22:34:50 - mmengine - INFO - Epoch(train) [46][2900/5005] lr: 5.7822e-02 eta: 1 day, 3:14:20 time: 0.3589 data_time: 0.0045 loss: 1.8744 03/03 22:35:25 - mmengine - INFO - Epoch(train) [46][3000/5005] lr: 5.7822e-02 eta: 1 day, 3:13:43 time: 0.3537 data_time: 0.0046 loss: 1.8805 03/03 22:36:01 - mmengine - INFO - Epoch(train) [46][3100/5005] lr: 5.7822e-02 eta: 1 day, 3:13:06 time: 0.3462 data_time: 0.0048 loss: 1.9009 03/03 22:36:36 - mmengine - INFO - Epoch(train) [46][3200/5005] lr: 5.7822e-02 eta: 1 day, 3:12:29 time: 0.3617 data_time: 0.0044 loss: 1.9401 03/03 22:37:12 - mmengine - INFO - Epoch(train) [46][3300/5005] lr: 5.7822e-02 eta: 1 day, 3:11:52 time: 0.3722 data_time: 0.0046 loss: 1.8910 03/03 22:37:47 - mmengine - INFO - Epoch(train) [46][3400/5005] lr: 5.7822e-02 eta: 1 day, 3:11:15 time: 0.3414 data_time: 0.0047 loss: 1.8809 03/03 22:38:22 - mmengine - INFO - Epoch(train) [46][3500/5005] lr: 5.7822e-02 eta: 1 day, 3:10:38 time: 0.3405 data_time: 0.0047 loss: 1.9177 03/03 22:38:57 - mmengine - INFO - Epoch(train) [46][3600/5005] lr: 5.7822e-02 eta: 1 day, 3:10:01 time: 0.3418 data_time: 0.0048 loss: 1.8769 03/03 22:39:33 - mmengine - INFO - Epoch(train) [46][3700/5005] lr: 5.7822e-02 eta: 1 day, 3:09:25 time: 0.3664 data_time: 0.0045 loss: 1.9460 03/03 22:39:59 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 22:40:08 - mmengine - INFO - Epoch(train) [46][3800/5005] lr: 5.7822e-02 eta: 1 day, 3:08:48 time: 0.3667 data_time: 0.0048 loss: 1.9485 03/03 22:40:43 - mmengine - INFO - Epoch(train) [46][3900/5005] lr: 5.7822e-02 eta: 1 day, 3:08:11 time: 0.3459 data_time: 0.0047 loss: 1.7415 03/03 22:41:19 - mmengine - INFO - Epoch(train) [46][4000/5005] lr: 5.7822e-02 eta: 1 day, 3:07:34 time: 0.3615 data_time: 0.0044 loss: 1.7431 03/03 22:41:54 - mmengine - INFO - Epoch(train) [46][4100/5005] lr: 5.7822e-02 eta: 1 day, 3:06:57 time: 0.3638 data_time: 0.0045 loss: 1.7264 03/03 22:42:29 - mmengine - INFO - Epoch(train) [46][4200/5005] lr: 5.7822e-02 eta: 1 day, 3:06:20 time: 0.3436 data_time: 0.0047 loss: 1.9543 03/03 22:43:05 - mmengine - INFO - Epoch(train) [46][4300/5005] lr: 5.7822e-02 eta: 1 day, 3:05:43 time: 0.3517 data_time: 0.0047 loss: 1.8285 03/03 22:43:40 - mmengine - INFO - Epoch(train) [46][4400/5005] lr: 5.7822e-02 eta: 1 day, 3:05:06 time: 0.3627 data_time: 0.0047 loss: 1.6438 03/03 22:44:15 - mmengine - INFO - Epoch(train) [46][4500/5005] lr: 5.7822e-02 eta: 1 day, 3:04:29 time: 0.3675 data_time: 0.0047 loss: 1.6720 03/03 22:44:50 - mmengine - INFO - Epoch(train) [46][4600/5005] lr: 5.7822e-02 eta: 1 day, 3:03:52 time: 0.3522 data_time: 0.0049 loss: 1.9410 03/03 22:45:26 - mmengine - INFO - Epoch(train) [46][4700/5005] lr: 5.7822e-02 eta: 1 day, 3:03:16 time: 0.3556 data_time: 0.0044 loss: 1.8508 03/03 22:45:52 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 22:46:01 - mmengine - INFO - Epoch(train) [46][4800/5005] lr: 5.7822e-02 eta: 1 day, 3:02:38 time: 0.3410 data_time: 0.0047 loss: 1.9209 03/03 22:46:38 - mmengine - INFO - Epoch(train) [46][4900/5005] lr: 5.7822e-02 eta: 1 day, 3:02:03 time: 0.4078 data_time: 0.0051 loss: 2.1957 03/03 22:47:21 - mmengine - INFO - Epoch(train) [46][5000/5005] lr: 5.7822e-02 eta: 1 day, 3:01:35 time: 0.4131 data_time: 0.0056 loss: 1.7864 03/03 22:47:23 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 22:47:26 - mmengine - INFO - Saving checkpoint at 46 epochs 03/03 22:47:43 - mmengine - INFO - Epoch(val) [46][100/196] eta: 0:00:14 time: 0.0428 data_time: 0.0003 03/03 22:48:00 - mmengine - INFO - Epoch(val) [46][196/196] accuracy/top1: 61.0620 accuracy/top5: 84.0100 03/03 22:48:45 - mmengine - INFO - Epoch(train) [47][ 100/5005] lr: 5.6267e-02 eta: 1 day, 3:01:09 time: 0.3814 data_time: 0.0047 loss: 1.8445 03/03 22:49:20 - mmengine - INFO - Epoch(train) [47][ 200/5005] lr: 5.6267e-02 eta: 1 day, 3:00:32 time: 0.3487 data_time: 0.0048 loss: 2.0773 03/03 22:49:56 - mmengine - INFO - Epoch(train) [47][ 300/5005] lr: 5.6267e-02 eta: 1 day, 2:59:56 time: 0.3451 data_time: 0.0046 loss: 1.9042 03/03 22:50:32 - mmengine - INFO - Epoch(train) [47][ 400/5005] lr: 5.6267e-02 eta: 1 day, 2:59:19 time: 0.3453 data_time: 0.0046 loss: 1.8024 03/03 22:51:07 - mmengine - INFO - Epoch(train) [47][ 500/5005] lr: 5.6267e-02 eta: 1 day, 2:58:43 time: 0.3848 data_time: 0.0046 loss: 1.6635 03/03 22:51:43 - mmengine - INFO - Epoch(train) [47][ 600/5005] lr: 5.6267e-02 eta: 1 day, 2:58:06 time: 0.3538 data_time: 0.0050 loss: 1.8779 03/03 22:52:19 - mmengine - INFO - Epoch(train) [47][ 700/5005] lr: 5.6267e-02 eta: 1 day, 2:57:30 time: 0.3827 data_time: 0.0046 loss: 2.1133 03/03 22:52:44 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 22:52:54 - mmengine - INFO - Epoch(train) [47][ 800/5005] lr: 5.6267e-02 eta: 1 day, 2:56:53 time: 0.3504 data_time: 0.0047 loss: 1.8233 03/03 22:53:30 - mmengine - INFO - Epoch(train) [47][ 900/5005] lr: 5.6267e-02 eta: 1 day, 2:56:17 time: 0.3736 data_time: 0.0049 loss: 1.7296 03/03 22:54:05 - mmengine - INFO - Epoch(train) [47][1000/5005] lr: 5.6267e-02 eta: 1 day, 2:55:40 time: 0.3453 data_time: 0.0050 loss: 2.0821 03/03 22:54:41 - mmengine - INFO - Epoch(train) [47][1100/5005] lr: 5.6267e-02 eta: 1 day, 2:55:03 time: 0.3483 data_time: 0.0047 loss: 1.9171 03/03 22:55:16 - mmengine - INFO - Epoch(train) [47][1200/5005] lr: 5.6267e-02 eta: 1 day, 2:54:26 time: 0.3691 data_time: 0.0048 loss: 1.9431 03/03 22:55:51 - mmengine - INFO - Epoch(train) [47][1300/5005] lr: 5.6267e-02 eta: 1 day, 2:53:49 time: 0.3665 data_time: 0.0045 loss: 1.9562 03/03 22:56:27 - mmengine - INFO - Epoch(train) [47][1400/5005] lr: 5.6267e-02 eta: 1 day, 2:53:12 time: 0.3445 data_time: 0.0047 loss: 1.8828 03/03 22:57:02 - mmengine - INFO - Epoch(train) [47][1500/5005] lr: 5.6267e-02 eta: 1 day, 2:52:35 time: 0.3670 data_time: 0.0045 loss: 1.7072 03/03 22:57:38 - mmengine - INFO - Epoch(train) [47][1600/5005] lr: 5.6267e-02 eta: 1 day, 2:51:59 time: 0.3489 data_time: 0.0050 loss: 1.8150 03/03 22:58:14 - mmengine - INFO - Epoch(train) [47][1700/5005] lr: 5.6267e-02 eta: 1 day, 2:51:23 time: 0.3727 data_time: 0.0046 loss: 1.9344 03/03 22:58:38 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 22:58:49 - mmengine - INFO - Epoch(train) [47][1800/5005] lr: 5.6267e-02 eta: 1 day, 2:50:46 time: 0.3522 data_time: 0.0049 loss: 1.8659 03/03 22:59:24 - mmengine - INFO - Epoch(train) [47][1900/5005] lr: 5.6267e-02 eta: 1 day, 2:50:09 time: 0.3529 data_time: 0.0048 loss: 1.8586 03/03 23:00:00 - mmengine - INFO - Epoch(train) [47][2000/5005] lr: 5.6267e-02 eta: 1 day, 2:49:32 time: 0.3493 data_time: 0.0045 loss: 1.7372 03/03 23:00:36 - mmengine - INFO - Epoch(train) [47][2100/5005] lr: 5.6267e-02 eta: 1 day, 2:48:56 time: 0.3679 data_time: 0.0050 loss: 2.1212 03/03 23:01:11 - mmengine - INFO - Epoch(train) [47][2200/5005] lr: 5.6267e-02 eta: 1 day, 2:48:19 time: 0.3431 data_time: 0.0046 loss: 1.7220 03/03 23:01:46 - mmengine - INFO - Epoch(train) [47][2300/5005] lr: 5.6267e-02 eta: 1 day, 2:47:42 time: 0.3554 data_time: 0.0046 loss: 2.2706 03/03 23:02:21 - mmengine - INFO - Epoch(train) [47][2400/5005] lr: 5.6267e-02 eta: 1 day, 2:47:05 time: 0.3437 data_time: 0.0047 loss: 1.6761 03/03 23:02:57 - mmengine - INFO - Epoch(train) [47][2500/5005] lr: 5.6267e-02 eta: 1 day, 2:46:28 time: 0.3537 data_time: 0.0046 loss: 1.9222 03/03 23:03:32 - mmengine - INFO - Epoch(train) [47][2600/5005] lr: 5.6267e-02 eta: 1 day, 2:45:52 time: 0.3462 data_time: 0.0047 loss: 2.0054 03/03 23:04:08 - mmengine - INFO - Epoch(train) [47][2700/5005] lr: 5.6267e-02 eta: 1 day, 2:45:15 time: 0.3435 data_time: 0.0048 loss: 2.0813 03/03 23:04:32 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 23:04:43 - mmengine - INFO - Epoch(train) [47][2800/5005] lr: 5.6267e-02 eta: 1 day, 2:44:38 time: 0.3741 data_time: 0.0049 loss: 1.9390 03/03 23:05:19 - mmengine - INFO - Epoch(train) [47][2900/5005] lr: 5.6267e-02 eta: 1 day, 2:44:01 time: 0.3413 data_time: 0.0051 loss: 1.8916 03/03 23:05:54 - mmengine - INFO - Epoch(train) [47][3000/5005] lr: 5.6267e-02 eta: 1 day, 2:43:24 time: 0.3433 data_time: 0.0045 loss: 1.9174 03/03 23:06:29 - mmengine - INFO - Epoch(train) [47][3100/5005] lr: 5.6267e-02 eta: 1 day, 2:42:47 time: 0.3472 data_time: 0.0050 loss: 2.0750 03/03 23:07:04 - mmengine - INFO - Epoch(train) [47][3200/5005] lr: 5.6267e-02 eta: 1 day, 2:42:11 time: 0.3635 data_time: 0.0045 loss: 1.6798 03/03 23:07:40 - mmengine - INFO - Epoch(train) [47][3300/5005] lr: 5.6267e-02 eta: 1 day, 2:41:34 time: 0.3638 data_time: 0.0051 loss: 1.9404 03/03 23:08:15 - mmengine - INFO - Epoch(train) [47][3400/5005] lr: 5.6267e-02 eta: 1 day, 2:40:57 time: 0.3528 data_time: 0.0047 loss: 1.6760 03/03 23:08:51 - mmengine - INFO - Epoch(train) [47][3500/5005] lr: 5.6267e-02 eta: 1 day, 2:40:21 time: 0.3501 data_time: 0.0048 loss: 1.8894 03/03 23:09:26 - mmengine - INFO - Epoch(train) [47][3600/5005] lr: 5.6267e-02 eta: 1 day, 2:39:44 time: 0.3627 data_time: 0.0045 loss: 1.8282 03/03 23:10:02 - mmengine - INFO - Epoch(train) [47][3700/5005] lr: 5.6267e-02 eta: 1 day, 2:39:07 time: 0.3438 data_time: 0.0049 loss: 1.7537 03/03 23:10:27 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 23:10:38 - mmengine - INFO - Epoch(train) [47][3800/5005] lr: 5.6267e-02 eta: 1 day, 2:38:31 time: 0.3549 data_time: 0.0047 loss: 1.7291 03/03 23:11:13 - mmengine - INFO - Epoch(train) [47][3900/5005] lr: 5.6267e-02 eta: 1 day, 2:37:54 time: 0.3620 data_time: 0.0047 loss: 1.9356 03/03 23:11:48 - mmengine - INFO - Epoch(train) [47][4000/5005] lr: 5.6267e-02 eta: 1 day, 2:37:17 time: 0.3567 data_time: 0.0049 loss: 1.9419 03/03 23:12:24 - mmengine - INFO - Epoch(train) [47][4100/5005] lr: 5.6267e-02 eta: 1 day, 2:36:40 time: 0.3494 data_time: 0.0051 loss: 1.8733 03/03 23:12:59 - mmengine - INFO - Epoch(train) [47][4200/5005] lr: 5.6267e-02 eta: 1 day, 2:36:03 time: 0.3469 data_time: 0.0047 loss: 1.8275 03/03 23:13:34 - mmengine - INFO - Epoch(train) [47][4300/5005] lr: 5.6267e-02 eta: 1 day, 2:35:27 time: 0.3466 data_time: 0.0049 loss: 1.7555 03/03 23:14:10 - mmengine - INFO - Epoch(train) [47][4400/5005] lr: 5.6267e-02 eta: 1 day, 2:34:50 time: 0.3498 data_time: 0.0048 loss: 1.8175 03/03 23:14:45 - mmengine - INFO - Epoch(train) [47][4500/5005] lr: 5.6267e-02 eta: 1 day, 2:34:13 time: 0.3395 data_time: 0.0045 loss: 1.7699 03/03 23:15:20 - mmengine - INFO - Epoch(train) [47][4600/5005] lr: 5.6267e-02 eta: 1 day, 2:33:36 time: 0.3782 data_time: 0.0047 loss: 1.7887 03/03 23:15:55 - mmengine - INFO - Epoch(train) [47][4700/5005] lr: 5.6267e-02 eta: 1 day, 2:32:59 time: 0.3483 data_time: 0.0046 loss: 1.9067 03/03 23:16:20 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 23:16:30 - mmengine - INFO - Epoch(train) [47][4800/5005] lr: 5.6267e-02 eta: 1 day, 2:32:22 time: 0.3420 data_time: 0.0047 loss: 2.0606 03/03 23:17:07 - mmengine - INFO - Epoch(train) [47][4900/5005] lr: 5.6267e-02 eta: 1 day, 2:31:46 time: 0.4100 data_time: 0.0048 loss: 1.8796 03/03 23:17:49 - mmengine - INFO - Epoch(train) [47][5000/5005] lr: 5.6267e-02 eta: 1 day, 2:31:18 time: 0.4476 data_time: 0.0050 loss: 1.7799 03/03 23:17:51 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 23:17:54 - mmengine - INFO - Saving checkpoint at 47 epochs 03/03 23:18:11 - mmengine - INFO - Epoch(val) [47][100/196] eta: 0:00:14 time: 0.0457 data_time: 0.0003 03/03 23:18:27 - mmengine - INFO - Epoch(val) [47][196/196] accuracy/top1: 61.9260 accuracy/top5: 84.6040 03/03 23:19:12 - mmengine - INFO - Epoch(train) [48][ 100/5005] lr: 5.4705e-02 eta: 1 day, 2:30:50 time: 0.3533 data_time: 0.0046 loss: 1.8058 03/03 23:19:48 - mmengine - INFO - Epoch(train) [48][ 200/5005] lr: 5.4705e-02 eta: 1 day, 2:30:14 time: 0.4054 data_time: 0.0048 loss: 1.8649 03/03 23:20:23 - mmengine - INFO - Epoch(train) [48][ 300/5005] lr: 5.4705e-02 eta: 1 day, 2:29:37 time: 0.3504 data_time: 0.0045 loss: 1.9010 03/03 23:20:59 - mmengine - INFO - Epoch(train) [48][ 400/5005] lr: 5.4705e-02 eta: 1 day, 2:29:00 time: 0.3631 data_time: 0.0047 loss: 1.9542 03/03 23:21:34 - mmengine - INFO - Epoch(train) [48][ 500/5005] lr: 5.4705e-02 eta: 1 day, 2:28:24 time: 0.3580 data_time: 0.0049 loss: 2.0096 03/03 23:22:10 - mmengine - INFO - Epoch(train) [48][ 600/5005] lr: 5.4705e-02 eta: 1 day, 2:27:47 time: 0.3437 data_time: 0.0051 loss: 1.6877 03/03 23:22:46 - mmengine - INFO - Epoch(train) [48][ 700/5005] lr: 5.4705e-02 eta: 1 day, 2:27:11 time: 0.3435 data_time: 0.0047 loss: 1.8401 03/03 23:23:09 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 23:23:21 - mmengine - INFO - Epoch(train) [48][ 800/5005] lr: 5.4705e-02 eta: 1 day, 2:26:34 time: 0.3617 data_time: 0.0046 loss: 1.7307 03/03 23:23:57 - mmengine - INFO - Epoch(train) [48][ 900/5005] lr: 5.4705e-02 eta: 1 day, 2:25:58 time: 0.3529 data_time: 0.0046 loss: 1.8614 03/03 23:24:33 - mmengine - INFO - Epoch(train) [48][1000/5005] lr: 5.4705e-02 eta: 1 day, 2:25:22 time: 0.3799 data_time: 0.0046 loss: 2.0766 03/03 23:25:09 - mmengine - INFO - Epoch(train) [48][1100/5005] lr: 5.4705e-02 eta: 1 day, 2:24:46 time: 0.3433 data_time: 0.0048 loss: 1.7042 03/03 23:25:45 - mmengine - INFO - Epoch(train) [48][1200/5005] lr: 5.4705e-02 eta: 1 day, 2:24:10 time: 0.3440 data_time: 0.0048 loss: 1.8296 03/03 23:26:21 - mmengine - INFO - Epoch(train) [48][1300/5005] lr: 5.4705e-02 eta: 1 day, 2:23:34 time: 0.3565 data_time: 0.0048 loss: 1.6410 03/03 23:26:57 - mmengine - INFO - Epoch(train) [48][1400/5005] lr: 5.4705e-02 eta: 1 day, 2:22:57 time: 0.3492 data_time: 0.0047 loss: 1.8068 03/03 23:27:33 - mmengine - INFO - Epoch(train) [48][1500/5005] lr: 5.4705e-02 eta: 1 day, 2:22:21 time: 0.3648 data_time: 0.0047 loss: 2.0091 03/03 23:28:08 - mmengine - INFO - Epoch(train) [48][1600/5005] lr: 5.4705e-02 eta: 1 day, 2:21:44 time: 0.3497 data_time: 0.0047 loss: 1.8653 03/03 23:28:43 - mmengine - INFO - Epoch(train) [48][1700/5005] lr: 5.4705e-02 eta: 1 day, 2:21:07 time: 0.3470 data_time: 0.0048 loss: 1.8110 03/03 23:29:06 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 23:29:19 - mmengine - INFO - Epoch(train) [48][1800/5005] lr: 5.4705e-02 eta: 1 day, 2:20:30 time: 0.3615 data_time: 0.0047 loss: 1.7759 03/03 23:29:54 - mmengine - INFO - Epoch(train) [48][1900/5005] lr: 5.4705e-02 eta: 1 day, 2:19:54 time: 0.3473 data_time: 0.0047 loss: 1.7280 03/03 23:30:30 - mmengine - INFO - Epoch(train) [48][2000/5005] lr: 5.4705e-02 eta: 1 day, 2:19:17 time: 0.3653 data_time: 0.0047 loss: 1.8722 03/03 23:31:05 - mmengine - INFO - Epoch(train) [48][2100/5005] lr: 5.4705e-02 eta: 1 day, 2:18:40 time: 0.3491 data_time: 0.0050 loss: 1.8232 03/03 23:31:41 - mmengine - INFO - Epoch(train) [48][2200/5005] lr: 5.4705e-02 eta: 1 day, 2:18:04 time: 0.3461 data_time: 0.0054 loss: 1.8395 03/03 23:32:16 - mmengine - INFO - Epoch(train) [48][2300/5005] lr: 5.4705e-02 eta: 1 day, 2:17:27 time: 0.3474 data_time: 0.0050 loss: 1.8435 03/03 23:32:51 - mmengine - INFO - Epoch(train) [48][2400/5005] lr: 5.4705e-02 eta: 1 day, 2:16:50 time: 0.3547 data_time: 0.0046 loss: 1.8465 03/03 23:33:26 - mmengine - INFO - Epoch(train) [48][2500/5005] lr: 5.4705e-02 eta: 1 day, 2:16:13 time: 0.3471 data_time: 0.0049 loss: 1.7870 03/03 23:34:02 - mmengine - INFO - Epoch(train) [48][2600/5005] lr: 5.4705e-02 eta: 1 day, 2:15:36 time: 0.3474 data_time: 0.0048 loss: 1.6560 03/03 23:34:37 - mmengine - INFO - Epoch(train) [48][2700/5005] lr: 5.4705e-02 eta: 1 day, 2:15:00 time: 0.3453 data_time: 0.0047 loss: 1.5185 03/03 23:35:00 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 23:35:12 - mmengine - INFO - Epoch(train) [48][2800/5005] lr: 5.4705e-02 eta: 1 day, 2:14:23 time: 0.3438 data_time: 0.0051 loss: 1.9304 03/03 23:35:48 - mmengine - INFO - Epoch(train) [48][2900/5005] lr: 5.4705e-02 eta: 1 day, 2:13:46 time: 0.3461 data_time: 0.0049 loss: 1.9021 03/03 23:36:23 - mmengine - INFO - Epoch(train) [48][3000/5005] lr: 5.4705e-02 eta: 1 day, 2:13:10 time: 0.3488 data_time: 0.0048 loss: 1.8142 03/03 23:36:59 - mmengine - INFO - Epoch(train) [48][3100/5005] lr: 5.4705e-02 eta: 1 day, 2:12:33 time: 0.3417 data_time: 0.0048 loss: 1.7944 03/03 23:37:34 - mmengine - INFO - Epoch(train) [48][3200/5005] lr: 5.4705e-02 eta: 1 day, 2:11:56 time: 0.3706 data_time: 0.0046 loss: 1.7329 03/03 23:38:10 - mmengine - INFO - Epoch(train) [48][3300/5005] lr: 5.4705e-02 eta: 1 day, 2:11:19 time: 0.3459 data_time: 0.0046 loss: 2.0111 03/03 23:38:45 - mmengine - INFO - Epoch(train) [48][3400/5005] lr: 5.4705e-02 eta: 1 day, 2:10:42 time: 0.3625 data_time: 0.0047 loss: 1.7801 03/03 23:39:20 - mmengine - INFO - Epoch(train) [48][3500/5005] lr: 5.4705e-02 eta: 1 day, 2:10:06 time: 0.3372 data_time: 0.0049 loss: 1.6614 03/03 23:39:55 - mmengine - INFO - Epoch(train) [48][3600/5005] lr: 5.4705e-02 eta: 1 day, 2:09:29 time: 0.3444 data_time: 0.0046 loss: 1.8865 03/03 23:40:31 - mmengine - INFO - Epoch(train) [48][3700/5005] lr: 5.4705e-02 eta: 1 day, 2:08:52 time: 0.3444 data_time: 0.0048 loss: 1.9084 03/03 23:40:54 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 23:41:07 - mmengine - INFO - Epoch(train) [48][3800/5005] lr: 5.4705e-02 eta: 1 day, 2:08:16 time: 0.3485 data_time: 0.0047 loss: 1.8019 03/03 23:41:42 - mmengine - INFO - Epoch(train) [48][3900/5005] lr: 5.4705e-02 eta: 1 day, 2:07:39 time: 0.3491 data_time: 0.0049 loss: 1.8787 03/03 23:42:18 - mmengine - INFO - Epoch(train) [48][4000/5005] lr: 5.4705e-02 eta: 1 day, 2:07:03 time: 0.3500 data_time: 0.0046 loss: 1.9449 03/03 23:42:54 - mmengine - INFO - Epoch(train) [48][4100/5005] lr: 5.4705e-02 eta: 1 day, 2:06:26 time: 0.3668 data_time: 0.0048 loss: 2.0468 03/03 23:43:29 - mmengine - INFO - Epoch(train) [48][4200/5005] lr: 5.4705e-02 eta: 1 day, 2:05:49 time: 0.3450 data_time: 0.0047 loss: 1.7216 03/03 23:44:04 - mmengine - INFO - Epoch(train) [48][4300/5005] lr: 5.4705e-02 eta: 1 day, 2:05:13 time: 0.3363 data_time: 0.0046 loss: 1.9207 03/03 23:44:40 - mmengine - INFO - Epoch(train) [48][4400/5005] lr: 5.4705e-02 eta: 1 day, 2:04:36 time: 0.3454 data_time: 0.0048 loss: 1.9603 03/03 23:45:15 - mmengine - INFO - Epoch(train) [48][4500/5005] lr: 5.4705e-02 eta: 1 day, 2:04:00 time: 0.3657 data_time: 0.0050 loss: 2.0536 03/03 23:45:51 - mmengine - INFO - Epoch(train) [48][4600/5005] lr: 5.4705e-02 eta: 1 day, 2:03:23 time: 0.3459 data_time: 0.0047 loss: 1.6564 03/03 23:46:26 - mmengine - INFO - Epoch(train) [48][4700/5005] lr: 5.4705e-02 eta: 1 day, 2:02:46 time: 0.3491 data_time: 0.0049 loss: 1.8588 03/03 23:46:49 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 23:47:02 - mmengine - INFO - Epoch(train) [48][4800/5005] lr: 5.4705e-02 eta: 1 day, 2:02:10 time: 0.3710 data_time: 0.0047 loss: 1.9359 03/03 23:47:38 - mmengine - INFO - Epoch(train) [48][4900/5005] lr: 5.4705e-02 eta: 1 day, 2:01:34 time: 0.4040 data_time: 0.0048 loss: 2.1145 03/03 23:48:21 - mmengine - INFO - Epoch(train) [48][5000/5005] lr: 5.4705e-02 eta: 1 day, 2:01:05 time: 0.4022 data_time: 0.0048 loss: 1.8124 03/03 23:48:23 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 23:48:26 - mmengine - INFO - Saving checkpoint at 48 epochs 03/03 23:48:42 - mmengine - INFO - Epoch(val) [48][100/196] eta: 0:00:14 time: 0.0424 data_time: 0.0003 03/03 23:48:59 - mmengine - INFO - Epoch(val) [48][196/196] accuracy/top1: 61.4700 accuracy/top5: 84.8500 03/03 23:49:43 - mmengine - INFO - Epoch(train) [49][ 100/5005] lr: 5.3140e-02 eta: 1 day, 2:00:37 time: 0.3375 data_time: 0.0049 loss: 1.9782 03/03 23:50:19 - mmengine - INFO - Epoch(train) [49][ 200/5005] lr: 5.3140e-02 eta: 1 day, 2:00:00 time: 0.3729 data_time: 0.0047 loss: 1.6450 03/03 23:50:54 - mmengine - INFO - Epoch(train) [49][ 300/5005] lr: 5.3140e-02 eta: 1 day, 1:59:23 time: 0.3568 data_time: 0.0046 loss: 1.8223 03/03 23:51:30 - mmengine - INFO - Epoch(train) [49][ 400/5005] lr: 5.3140e-02 eta: 1 day, 1:58:47 time: 0.3421 data_time: 0.0049 loss: 1.6607 03/03 23:52:05 - mmengine - INFO - Epoch(train) [49][ 500/5005] lr: 5.3140e-02 eta: 1 day, 1:58:10 time: 0.3474 data_time: 0.0048 loss: 1.8450 03/03 23:52:40 - mmengine - INFO - Epoch(train) [49][ 600/5005] lr: 5.3140e-02 eta: 1 day, 1:57:33 time: 0.3456 data_time: 0.0047 loss: 1.5708 03/03 23:53:16 - mmengine - INFO - Epoch(train) [49][ 700/5005] lr: 5.3140e-02 eta: 1 day, 1:56:56 time: 0.3445 data_time: 0.0049 loss: 2.0550 03/03 23:53:37 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 23:53:51 - mmengine - INFO - Epoch(train) [49][ 800/5005] lr: 5.3140e-02 eta: 1 day, 1:56:20 time: 0.3598 data_time: 0.0050 loss: 1.7074 03/03 23:54:27 - mmengine - INFO - Epoch(train) [49][ 900/5005] lr: 5.3140e-02 eta: 1 day, 1:55:43 time: 0.3637 data_time: 0.0047 loss: 2.1107 03/03 23:55:02 - mmengine - INFO - Epoch(train) [49][1000/5005] lr: 5.3140e-02 eta: 1 day, 1:55:06 time: 0.3393 data_time: 0.0050 loss: 1.8071 03/03 23:55:37 - mmengine - INFO - Epoch(train) [49][1100/5005] lr: 5.3140e-02 eta: 1 day, 1:54:29 time: 0.3463 data_time: 0.0047 loss: 1.8879 03/03 23:56:12 - mmengine - INFO - Epoch(train) [49][1200/5005] lr: 5.3140e-02 eta: 1 day, 1:53:52 time: 0.3422 data_time: 0.0049 loss: 1.8375 03/03 23:56:48 - mmengine - INFO - Epoch(train) [49][1300/5005] lr: 5.3140e-02 eta: 1 day, 1:53:16 time: 0.3417 data_time: 0.0047 loss: 1.7352 03/03 23:57:24 - mmengine - INFO - Epoch(train) [49][1400/5005] lr: 5.3140e-02 eta: 1 day, 1:52:39 time: 0.3673 data_time: 0.0048 loss: 1.6554 03/03 23:57:59 - mmengine - INFO - Epoch(train) [49][1500/5005] lr: 5.3140e-02 eta: 1 day, 1:52:02 time: 0.3588 data_time: 0.0048 loss: 1.7803 03/03 23:58:34 - mmengine - INFO - Epoch(train) [49][1600/5005] lr: 5.3140e-02 eta: 1 day, 1:51:26 time: 0.3529 data_time: 0.0047 loss: 1.7477 03/03 23:59:10 - mmengine - INFO - Epoch(train) [49][1700/5005] lr: 5.3140e-02 eta: 1 day, 1:50:49 time: 0.3693 data_time: 0.0047 loss: 1.6239 03/03 23:59:31 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/03 23:59:45 - mmengine - INFO - Epoch(train) [49][1800/5005] lr: 5.3140e-02 eta: 1 day, 1:50:12 time: 0.3460 data_time: 0.0048 loss: 1.7338 03/04 00:00:20 - mmengine - INFO - Epoch(train) [49][1900/5005] lr: 5.3140e-02 eta: 1 day, 1:49:36 time: 0.3407 data_time: 0.0047 loss: 1.9685 03/04 00:00:56 - mmengine - INFO - Epoch(train) [49][2000/5005] lr: 5.3140e-02 eta: 1 day, 1:48:59 time: 0.3564 data_time: 0.0046 loss: 2.0675 03/04 00:01:31 - mmengine - INFO - Epoch(train) [49][2100/5005] lr: 5.3140e-02 eta: 1 day, 1:48:22 time: 0.3461 data_time: 0.0051 loss: 1.7507 03/04 00:02:07 - mmengine - INFO - Epoch(train) [49][2200/5005] lr: 5.3140e-02 eta: 1 day, 1:47:46 time: 0.3604 data_time: 0.0050 loss: 1.6551 03/04 00:02:42 - mmengine - INFO - Epoch(train) [49][2300/5005] lr: 5.3140e-02 eta: 1 day, 1:47:09 time: 0.3476 data_time: 0.0046 loss: 1.9283 03/04 00:03:18 - mmengine - INFO - Epoch(train) [49][2400/5005] lr: 5.3140e-02 eta: 1 day, 1:46:32 time: 0.3442 data_time: 0.0045 loss: 2.0790 03/04 00:03:53 - mmengine - INFO - Epoch(train) [49][2500/5005] lr: 5.3140e-02 eta: 1 day, 1:45:56 time: 0.3512 data_time: 0.0046 loss: 1.6774 03/04 00:04:28 - mmengine - INFO - Epoch(train) [49][2600/5005] lr: 5.3140e-02 eta: 1 day, 1:45:19 time: 0.3510 data_time: 0.0052 loss: 1.9200 03/04 00:05:04 - mmengine - INFO - Epoch(train) [49][2700/5005] lr: 5.3140e-02 eta: 1 day, 1:44:42 time: 0.3414 data_time: 0.0047 loss: 1.8106 03/04 00:05:25 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 00:05:39 - mmengine - INFO - Epoch(train) [49][2800/5005] lr: 5.3140e-02 eta: 1 day, 1:44:05 time: 0.3433 data_time: 0.0047 loss: 1.8943 03/04 00:06:14 - mmengine - INFO - Epoch(train) [49][2900/5005] lr: 5.3140e-02 eta: 1 day, 1:43:29 time: 0.3418 data_time: 0.0047 loss: 2.0865 03/04 00:06:50 - mmengine - INFO - Epoch(train) [49][3000/5005] lr: 5.3140e-02 eta: 1 day, 1:42:52 time: 0.3377 data_time: 0.0050 loss: 1.8864 03/04 00:07:25 - mmengine - INFO - Epoch(train) [49][3100/5005] lr: 5.3140e-02 eta: 1 day, 1:42:15 time: 0.3560 data_time: 0.0050 loss: 1.8476 03/04 00:08:01 - mmengine - INFO - Epoch(train) [49][3200/5005] lr: 5.3140e-02 eta: 1 day, 1:41:39 time: 0.3435 data_time: 0.0048 loss: 1.8127 03/04 00:08:36 - mmengine - INFO - Epoch(train) [49][3300/5005] lr: 5.3140e-02 eta: 1 day, 1:41:02 time: 0.3680 data_time: 0.0050 loss: 2.0027 03/04 00:09:12 - mmengine - INFO - Epoch(train) [49][3400/5005] lr: 5.3140e-02 eta: 1 day, 1:40:25 time: 0.3451 data_time: 0.0047 loss: 1.8920 03/04 00:09:47 - mmengine - INFO - Epoch(train) [49][3500/5005] lr: 5.3140e-02 eta: 1 day, 1:39:49 time: 0.3698 data_time: 0.0049 loss: 1.9262 03/04 00:10:22 - mmengine - INFO - Epoch(train) [49][3600/5005] lr: 5.3140e-02 eta: 1 day, 1:39:11 time: 0.3631 data_time: 0.0048 loss: 2.0321 03/04 00:10:58 - mmengine - INFO - Epoch(train) [49][3700/5005] lr: 5.3140e-02 eta: 1 day, 1:38:35 time: 0.3416 data_time: 0.0048 loss: 1.9696 03/04 00:11:18 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 00:11:33 - mmengine - INFO - Epoch(train) [49][3800/5005] lr: 5.3140e-02 eta: 1 day, 1:37:58 time: 0.3450 data_time: 0.0047 loss: 1.8769 03/04 00:12:08 - mmengine - INFO - Epoch(train) [49][3900/5005] lr: 5.3140e-02 eta: 1 day, 1:37:21 time: 0.3403 data_time: 0.0049 loss: 1.7741 03/04 00:12:44 - mmengine - INFO - Epoch(train) [49][4000/5005] lr: 5.3140e-02 eta: 1 day, 1:36:45 time: 0.3511 data_time: 0.0048 loss: 1.8421 03/04 00:13:19 - mmengine - INFO - Epoch(train) [49][4100/5005] lr: 5.3140e-02 eta: 1 day, 1:36:08 time: 0.3767 data_time: 0.0050 loss: 1.8502 03/04 00:13:54 - mmengine - INFO - Epoch(train) [49][4200/5005] lr: 5.3140e-02 eta: 1 day, 1:35:31 time: 0.3525 data_time: 0.0049 loss: 1.9039 03/04 00:14:30 - mmengine - INFO - Epoch(train) [49][4300/5005] lr: 5.3140e-02 eta: 1 day, 1:34:55 time: 0.3555 data_time: 0.0049 loss: 1.9607 03/04 00:15:05 - mmengine - INFO - Epoch(train) [49][4400/5005] lr: 5.3140e-02 eta: 1 day, 1:34:18 time: 0.3556 data_time: 0.0049 loss: 2.0215 03/04 00:15:41 - mmengine - INFO - Epoch(train) [49][4500/5005] lr: 5.3140e-02 eta: 1 day, 1:33:41 time: 0.3441 data_time: 0.0047 loss: 1.7497 03/04 00:16:16 - mmengine - INFO - Epoch(train) [49][4600/5005] lr: 5.3140e-02 eta: 1 day, 1:33:05 time: 0.3613 data_time: 0.0050 loss: 1.6595 03/04 00:16:51 - mmengine - INFO - Epoch(train) [49][4700/5005] lr: 5.3140e-02 eta: 1 day, 1:32:27 time: 0.3407 data_time: 0.0048 loss: 1.8922 03/04 00:17:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 00:17:27 - mmengine - INFO - Epoch(train) [49][4800/5005] lr: 5.3140e-02 eta: 1 day, 1:31:51 time: 0.3527 data_time: 0.0048 loss: 2.0451 03/04 00:18:03 - mmengine - INFO - Epoch(train) [49][4900/5005] lr: 5.3140e-02 eta: 1 day, 1:31:16 time: 0.4155 data_time: 0.0050 loss: 1.7796 03/04 00:18:47 - mmengine - INFO - Epoch(train) [49][5000/5005] lr: 5.3140e-02 eta: 1 day, 1:30:48 time: 0.4115 data_time: 0.0054 loss: 1.7272 03/04 00:18:49 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 00:18:52 - mmengine - INFO - Saving checkpoint at 49 epochs 03/04 00:19:09 - mmengine - INFO - Epoch(val) [49][100/196] eta: 0:00:14 time: 0.0457 data_time: 0.0003 03/04 00:19:25 - mmengine - INFO - Epoch(val) [49][196/196] accuracy/top1: 61.5900 accuracy/top5: 84.7940 03/04 00:20:09 - mmengine - INFO - Epoch(train) [50][ 100/5005] lr: 5.1571e-02 eta: 1 day, 1:30:18 time: 0.3527 data_time: 0.0049 loss: 1.9108 03/04 00:20:44 - mmengine - INFO - Epoch(train) [50][ 200/5005] lr: 5.1571e-02 eta: 1 day, 1:29:42 time: 0.3432 data_time: 0.0050 loss: 1.8871 03/04 00:21:20 - mmengine - INFO - Epoch(train) [50][ 300/5005] lr: 5.1571e-02 eta: 1 day, 1:29:05 time: 0.3448 data_time: 0.0046 loss: 1.7462 03/04 00:21:56 - mmengine - INFO - Epoch(train) [50][ 400/5005] lr: 5.1571e-02 eta: 1 day, 1:28:29 time: 0.3469 data_time: 0.0051 loss: 1.7671 03/04 00:22:31 - mmengine - INFO - Epoch(train) [50][ 500/5005] lr: 5.1571e-02 eta: 1 day, 1:27:52 time: 0.3786 data_time: 0.0050 loss: 1.6923 03/04 00:23:07 - mmengine - INFO - Epoch(train) [50][ 600/5005] lr: 5.1571e-02 eta: 1 day, 1:27:15 time: 0.3412 data_time: 0.0047 loss: 1.9153 03/04 00:23:43 - mmengine - INFO - Epoch(train) [50][ 700/5005] lr: 5.1571e-02 eta: 1 day, 1:26:39 time: 0.3471 data_time: 0.0050 loss: 1.7500 03/04 00:24:02 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 00:24:18 - mmengine - INFO - Epoch(train) [50][ 800/5005] lr: 5.1571e-02 eta: 1 day, 1:26:02 time: 0.3478 data_time: 0.0046 loss: 1.7076 03/04 00:24:54 - mmengine - INFO - Epoch(train) [50][ 900/5005] lr: 5.1571e-02 eta: 1 day, 1:25:27 time: 0.3577 data_time: 0.0049 loss: 1.8361 03/04 00:25:30 - mmengine - INFO - Epoch(train) [50][1000/5005] lr: 5.1571e-02 eta: 1 day, 1:24:50 time: 0.3792 data_time: 0.0048 loss: 2.0834 03/04 00:26:05 - mmengine - INFO - Epoch(train) [50][1100/5005] lr: 5.1571e-02 eta: 1 day, 1:24:13 time: 0.3438 data_time: 0.0051 loss: 1.9367 03/04 00:26:41 - mmengine - INFO - Epoch(train) [50][1200/5005] lr: 5.1571e-02 eta: 1 day, 1:23:38 time: 0.3447 data_time: 0.0048 loss: 1.9217 03/04 00:27:16 - mmengine - INFO - Epoch(train) [50][1300/5005] lr: 5.1571e-02 eta: 1 day, 1:23:00 time: 0.3444 data_time: 0.0049 loss: 1.8258 03/04 00:27:52 - mmengine - INFO - Epoch(train) [50][1400/5005] lr: 5.1571e-02 eta: 1 day, 1:22:24 time: 0.3598 data_time: 0.0048 loss: 1.6591 03/04 00:28:28 - mmengine - INFO - Epoch(train) [50][1500/5005] lr: 5.1571e-02 eta: 1 day, 1:21:48 time: 0.3613 data_time: 0.0048 loss: 1.7664 03/04 00:29:03 - mmengine - INFO - Epoch(train) [50][1600/5005] lr: 5.1571e-02 eta: 1 day, 1:21:11 time: 0.3677 data_time: 0.0049 loss: 1.6790 03/04 00:29:38 - mmengine - INFO - Epoch(train) [50][1700/5005] lr: 5.1571e-02 eta: 1 day, 1:20:34 time: 0.3422 data_time: 0.0050 loss: 1.8787 03/04 00:29:58 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 00:30:14 - mmengine - INFO - Epoch(train) [50][1800/5005] lr: 5.1571e-02 eta: 1 day, 1:19:58 time: 0.3963 data_time: 0.0049 loss: 1.9709 03/04 00:30:49 - mmengine - INFO - Epoch(train) [50][1900/5005] lr: 5.1571e-02 eta: 1 day, 1:19:21 time: 0.3478 data_time: 0.0050 loss: 1.8039 03/04 00:31:25 - mmengine - INFO - Epoch(train) [50][2000/5005] lr: 5.1571e-02 eta: 1 day, 1:18:45 time: 0.3400 data_time: 0.0046 loss: 1.8891 03/04 00:32:00 - mmengine - INFO - Epoch(train) [50][2100/5005] lr: 5.1571e-02 eta: 1 day, 1:18:08 time: 0.3581 data_time: 0.0050 loss: 1.9875 03/04 00:32:35 - mmengine - INFO - Epoch(train) [50][2200/5005] lr: 5.1571e-02 eta: 1 day, 1:17:31 time: 0.3426 data_time: 0.0046 loss: 1.8241 03/04 00:33:11 - mmengine - INFO - Epoch(train) [50][2300/5005] lr: 5.1571e-02 eta: 1 day, 1:16:55 time: 0.3436 data_time: 0.0046 loss: 1.9505 03/04 00:33:46 - mmengine - INFO - Epoch(train) [50][2400/5005] lr: 5.1571e-02 eta: 1 day, 1:16:18 time: 0.3478 data_time: 0.0050 loss: 1.7980 03/04 00:34:22 - mmengine - INFO - Epoch(train) [50][2500/5005] lr: 5.1571e-02 eta: 1 day, 1:15:42 time: 0.3473 data_time: 0.0048 loss: 1.7955 03/04 00:34:57 - mmengine - INFO - Epoch(train) [50][2600/5005] lr: 5.1571e-02 eta: 1 day, 1:15:05 time: 0.3603 data_time: 0.0050 loss: 1.7952 03/04 00:35:33 - mmengine - INFO - Epoch(train) [50][2700/5005] lr: 5.1571e-02 eta: 1 day, 1:14:28 time: 0.3529 data_time: 0.0047 loss: 2.1806 03/04 00:35:53 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 00:36:09 - mmengine - INFO - Epoch(train) [50][2800/5005] lr: 5.1571e-02 eta: 1 day, 1:13:52 time: 0.3557 data_time: 0.0048 loss: 1.7755 03/04 00:36:44 - mmengine - INFO - Epoch(train) [50][2900/5005] lr: 5.1571e-02 eta: 1 day, 1:13:15 time: 0.3443 data_time: 0.0047 loss: 1.8097 03/04 00:37:20 - mmengine - INFO - Epoch(train) [50][3000/5005] lr: 5.1571e-02 eta: 1 day, 1:12:39 time: 0.3481 data_time: 0.0057 loss: 2.0165 03/04 00:37:55 - mmengine - INFO - Epoch(train) [50][3100/5005] lr: 5.1571e-02 eta: 1 day, 1:12:03 time: 0.3628 data_time: 0.0046 loss: 1.6214 03/04 00:38:31 - mmengine - INFO - Epoch(train) [50][3200/5005] lr: 5.1571e-02 eta: 1 day, 1:11:26 time: 0.3670 data_time: 0.0047 loss: 1.5700 03/04 00:39:06 - mmengine - INFO - Epoch(train) [50][3300/5005] lr: 5.1571e-02 eta: 1 day, 1:10:49 time: 0.3446 data_time: 0.0050 loss: 1.8049 03/04 00:39:42 - mmengine - INFO - Epoch(train) [50][3400/5005] lr: 5.1571e-02 eta: 1 day, 1:10:13 time: 0.3640 data_time: 0.0048 loss: 1.8927 03/04 00:40:17 - mmengine - INFO - Epoch(train) [50][3500/5005] lr: 5.1571e-02 eta: 1 day, 1:09:36 time: 0.3494 data_time: 0.0051 loss: 1.7952 03/04 00:40:53 - mmengine - INFO - Epoch(train) [50][3600/5005] lr: 5.1571e-02 eta: 1 day, 1:09:00 time: 0.3475 data_time: 0.0047 loss: 1.9204 03/04 00:41:28 - mmengine - INFO - Epoch(train) [50][3700/5005] lr: 5.1571e-02 eta: 1 day, 1:08:23 time: 0.3440 data_time: 0.0048 loss: 1.9058 03/04 00:41:47 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 00:42:03 - mmengine - INFO - Epoch(train) [50][3800/5005] lr: 5.1571e-02 eta: 1 day, 1:07:46 time: 0.3438 data_time: 0.0048 loss: 1.9508 03/04 00:42:39 - mmengine - INFO - Epoch(train) [50][3900/5005] lr: 5.1571e-02 eta: 1 day, 1:07:09 time: 0.3481 data_time: 0.0049 loss: 1.8125 03/04 00:43:14 - mmengine - INFO - Epoch(train) [50][4000/5005] lr: 5.1571e-02 eta: 1 day, 1:06:32 time: 0.3438 data_time: 0.0052 loss: 1.7815 03/04 00:43:49 - mmengine - INFO - Epoch(train) [50][4100/5005] lr: 5.1571e-02 eta: 1 day, 1:05:56 time: 0.3659 data_time: 0.0047 loss: 1.8024 03/04 00:44:25 - mmengine - INFO - Epoch(train) [50][4200/5005] lr: 5.1571e-02 eta: 1 day, 1:05:19 time: 0.3592 data_time: 0.0049 loss: 1.8090 03/04 00:45:00 - mmengine - INFO - Epoch(train) [50][4300/5005] lr: 5.1571e-02 eta: 1 day, 1:04:43 time: 0.3497 data_time: 0.0049 loss: 1.9131 03/04 00:45:36 - mmengine - INFO - Epoch(train) [50][4400/5005] lr: 5.1571e-02 eta: 1 day, 1:04:06 time: 0.3527 data_time: 0.0048 loss: 1.9135 03/04 00:46:11 - mmengine - INFO - Epoch(train) [50][4500/5005] lr: 5.1571e-02 eta: 1 day, 1:03:29 time: 0.3484 data_time: 0.0048 loss: 1.9176 03/04 00:46:46 - mmengine - INFO - Epoch(train) [50][4600/5005] lr: 5.1571e-02 eta: 1 day, 1:02:52 time: 0.3595 data_time: 0.0045 loss: 1.9722 03/04 00:47:21 - mmengine - INFO - Epoch(train) [50][4700/5005] lr: 5.1571e-02 eta: 1 day, 1:02:15 time: 0.3604 data_time: 0.0049 loss: 1.7781 03/04 00:47:40 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 00:47:56 - mmengine - INFO - Epoch(train) [50][4800/5005] lr: 5.1571e-02 eta: 1 day, 1:01:39 time: 0.3488 data_time: 0.0048 loss: 1.8119 03/04 00:48:33 - mmengine - INFO - Epoch(train) [50][4900/5005] lr: 5.1571e-02 eta: 1 day, 1:01:03 time: 0.4009 data_time: 0.0047 loss: 1.7174 03/04 00:49:16 - mmengine - INFO - Epoch(train) [50][5000/5005] lr: 5.1571e-02 eta: 1 day, 1:00:35 time: 0.4483 data_time: 0.0052 loss: 2.1893 03/04 00:49:19 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 00:49:22 - mmengine - INFO - Saving checkpoint at 50 epochs 03/04 00:49:39 - mmengine - INFO - Epoch(val) [50][100/196] eta: 0:00:15 time: 0.0478 data_time: 0.0003 03/04 00:49:56 - mmengine - INFO - Epoch(val) [50][196/196] accuracy/top1: 61.1820 accuracy/top5: 84.2380 03/04 00:50:40 - mmengine - INFO - Epoch(train) [51][ 100/5005] lr: 5.0000e-02 eta: 1 day, 1:00:06 time: 0.3489 data_time: 0.0046 loss: 1.6472 03/04 00:51:17 - mmengine - INFO - Epoch(train) [51][ 200/5005] lr: 5.0000e-02 eta: 1 day, 0:59:30 time: 0.3673 data_time: 0.0049 loss: 1.7017 03/04 00:51:52 - mmengine - INFO - Epoch(train) [51][ 300/5005] lr: 5.0000e-02 eta: 1 day, 0:58:54 time: 0.3777 data_time: 0.0049 loss: 1.7133 03/04 00:52:28 - mmengine - INFO - Epoch(train) [51][ 400/5005] lr: 5.0000e-02 eta: 1 day, 0:58:18 time: 0.3458 data_time: 0.0047 loss: 1.8115 03/04 00:53:05 - mmengine - INFO - Epoch(train) [51][ 500/5005] lr: 5.0000e-02 eta: 1 day, 0:57:42 time: 0.3599 data_time: 0.0048 loss: 1.8190 03/04 00:53:40 - mmengine - INFO - Epoch(train) [51][ 600/5005] lr: 5.0000e-02 eta: 1 day, 0:57:05 time: 0.3479 data_time: 0.0046 loss: 1.9176 03/04 00:54:15 - mmengine - INFO - Epoch(train) [51][ 700/5005] lr: 5.0000e-02 eta: 1 day, 0:56:28 time: 0.3409 data_time: 0.0048 loss: 1.6739 03/04 00:54:33 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 00:54:51 - mmengine - INFO - Epoch(train) [51][ 800/5005] lr: 5.0000e-02 eta: 1 day, 0:55:52 time: 0.3461 data_time: 0.0047 loss: 2.0142 03/04 00:55:26 - mmengine - INFO - Epoch(train) [51][ 900/5005] lr: 5.0000e-02 eta: 1 day, 0:55:15 time: 0.3692 data_time: 0.0049 loss: 1.9398 03/04 00:56:02 - mmengine - INFO - Epoch(train) [51][1000/5005] lr: 5.0000e-02 eta: 1 day, 0:54:39 time: 0.3736 data_time: 0.0046 loss: 1.9268 03/04 00:56:37 - mmengine - INFO - Epoch(train) [51][1100/5005] lr: 5.0000e-02 eta: 1 day, 0:54:02 time: 0.3546 data_time: 0.0048 loss: 2.1286 03/04 00:57:13 - mmengine - INFO - Epoch(train) [51][1200/5005] lr: 5.0000e-02 eta: 1 day, 0:53:25 time: 0.3524 data_time: 0.0047 loss: 2.1235 03/04 00:57:48 - mmengine - INFO - Epoch(train) [51][1300/5005] lr: 5.0000e-02 eta: 1 day, 0:52:49 time: 0.3699 data_time: 0.0047 loss: 1.9275 03/04 00:58:23 - mmengine - INFO - Epoch(train) [51][1400/5005] lr: 5.0000e-02 eta: 1 day, 0:52:12 time: 0.3648 data_time: 0.0047 loss: 1.6504 03/04 00:58:59 - mmengine - INFO - Epoch(train) [51][1500/5005] lr: 5.0000e-02 eta: 1 day, 0:51:36 time: 0.3678 data_time: 0.0046 loss: 1.7582 03/04 00:59:34 - mmengine - INFO - Epoch(train) [51][1600/5005] lr: 5.0000e-02 eta: 1 day, 0:50:59 time: 0.3604 data_time: 0.0049 loss: 1.9590 03/04 01:00:10 - mmengine - INFO - Epoch(train) [51][1700/5005] lr: 5.0000e-02 eta: 1 day, 0:50:22 time: 0.3568 data_time: 0.0050 loss: 1.7908 03/04 01:00:28 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 01:00:45 - mmengine - INFO - Epoch(train) [51][1800/5005] lr: 5.0000e-02 eta: 1 day, 0:49:46 time: 0.3610 data_time: 0.0047 loss: 1.8625 03/04 01:01:21 - mmengine - INFO - Epoch(train) [51][1900/5005] lr: 5.0000e-02 eta: 1 day, 0:49:09 time: 0.3494 data_time: 0.0047 loss: 1.8145 03/04 01:01:56 - mmengine - INFO - Epoch(train) [51][2000/5005] lr: 5.0000e-02 eta: 1 day, 0:48:33 time: 0.3465 data_time: 0.0047 loss: 1.5490 03/04 01:02:32 - mmengine - INFO - Epoch(train) [51][2100/5005] lr: 5.0000e-02 eta: 1 day, 0:47:56 time: 0.3500 data_time: 0.0048 loss: 1.8087 03/04 01:03:07 - mmengine - INFO - Epoch(train) [51][2200/5005] lr: 5.0000e-02 eta: 1 day, 0:47:20 time: 0.3482 data_time: 0.0050 loss: 1.8502 03/04 01:03:43 - mmengine - INFO - Epoch(train) [51][2300/5005] lr: 5.0000e-02 eta: 1 day, 0:46:43 time: 0.3497 data_time: 0.0048 loss: 1.8817 03/04 01:04:18 - mmengine - INFO - Epoch(train) [51][2400/5005] lr: 5.0000e-02 eta: 1 day, 0:46:06 time: 0.3575 data_time: 0.0050 loss: 1.8562 03/04 01:04:53 - mmengine - INFO - Epoch(train) [51][2500/5005] lr: 5.0000e-02 eta: 1 day, 0:45:30 time: 0.3522 data_time: 0.0046 loss: 1.7414 03/04 01:05:29 - mmengine - INFO - Epoch(train) [51][2600/5005] lr: 5.0000e-02 eta: 1 day, 0:44:53 time: 0.3640 data_time: 0.0049 loss: 2.0237 03/04 01:06:04 - mmengine - INFO - Epoch(train) [51][2700/5005] lr: 5.0000e-02 eta: 1 day, 0:44:16 time: 0.3453 data_time: 0.0050 loss: 1.8026 03/04 01:06:22 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 01:06:39 - mmengine - INFO - Epoch(train) [51][2800/5005] lr: 5.0000e-02 eta: 1 day, 0:43:39 time: 0.3442 data_time: 0.0049 loss: 1.9811 03/04 01:07:15 - mmengine - INFO - Epoch(train) [51][2900/5005] lr: 5.0000e-02 eta: 1 day, 0:43:03 time: 0.3475 data_time: 0.0049 loss: 1.8237 03/04 01:07:50 - mmengine - INFO - Epoch(train) [51][3000/5005] lr: 5.0000e-02 eta: 1 day, 0:42:26 time: 0.3487 data_time: 0.0050 loss: 1.8096 03/04 01:08:25 - mmengine - INFO - Epoch(train) [51][3100/5005] lr: 5.0000e-02 eta: 1 day, 0:41:49 time: 0.3478 data_time: 0.0048 loss: 1.8525 03/04 01:09:01 - mmengine - INFO - Epoch(train) [51][3200/5005] lr: 5.0000e-02 eta: 1 day, 0:41:13 time: 0.3500 data_time: 0.0050 loss: 1.8602 03/04 01:09:36 - mmengine - INFO - Epoch(train) [51][3300/5005] lr: 5.0000e-02 eta: 1 day, 0:40:36 time: 0.3593 data_time: 0.0048 loss: 1.7701 03/04 01:10:11 - mmengine - INFO - Epoch(train) [51][3400/5005] lr: 5.0000e-02 eta: 1 day, 0:40:00 time: 0.3508 data_time: 0.0049 loss: 1.9718 03/04 01:10:47 - mmengine - INFO - Epoch(train) [51][3500/5005] lr: 5.0000e-02 eta: 1 day, 0:39:23 time: 0.3336 data_time: 0.0049 loss: 1.8910 03/04 01:11:22 - mmengine - INFO - Epoch(train) [51][3600/5005] lr: 5.0000e-02 eta: 1 day, 0:38:46 time: 0.3486 data_time: 0.0049 loss: 1.7642 03/04 01:11:58 - mmengine - INFO - Epoch(train) [51][3700/5005] lr: 5.0000e-02 eta: 1 day, 0:38:10 time: 0.3512 data_time: 0.0047 loss: 2.0698 03/04 01:12:15 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 01:12:33 - mmengine - INFO - Epoch(train) [51][3800/5005] lr: 5.0000e-02 eta: 1 day, 0:37:33 time: 0.3617 data_time: 0.0047 loss: 1.8549 03/04 01:13:08 - mmengine - INFO - Epoch(train) [51][3900/5005] lr: 5.0000e-02 eta: 1 day, 0:36:56 time: 0.3676 data_time: 0.0048 loss: 2.0123 03/04 01:13:44 - mmengine - INFO - Epoch(train) [51][4000/5005] lr: 5.0000e-02 eta: 1 day, 0:36:20 time: 0.3438 data_time: 0.0051 loss: 1.6383 03/04 01:14:19 - mmengine - INFO - Epoch(train) [51][4100/5005] lr: 5.0000e-02 eta: 1 day, 0:35:43 time: 0.3822 data_time: 0.0046 loss: 2.0319 03/04 01:14:54 - mmengine - INFO - Epoch(train) [51][4200/5005] lr: 5.0000e-02 eta: 1 day, 0:35:06 time: 0.3438 data_time: 0.0046 loss: 1.9313 03/04 01:15:30 - mmengine - INFO - Epoch(train) [51][4300/5005] lr: 5.0000e-02 eta: 1 day, 0:34:30 time: 0.3431 data_time: 0.0051 loss: 1.6482 03/04 01:16:05 - mmengine - INFO - Epoch(train) [51][4400/5005] lr: 5.0000e-02 eta: 1 day, 0:33:53 time: 0.3471 data_time: 0.0047 loss: 1.7478 03/04 01:16:41 - mmengine - INFO - Epoch(train) [51][4500/5005] lr: 5.0000e-02 eta: 1 day, 0:33:16 time: 0.3668 data_time: 0.0049 loss: 1.8796 03/04 01:17:16 - mmengine - INFO - Epoch(train) [51][4600/5005] lr: 5.0000e-02 eta: 1 day, 0:32:40 time: 0.3647 data_time: 0.0051 loss: 1.8276 03/04 01:17:51 - mmengine - INFO - Epoch(train) [51][4700/5005] lr: 5.0000e-02 eta: 1 day, 0:32:03 time: 0.3511 data_time: 0.0048 loss: 1.9066 03/04 01:18:09 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 01:18:26 - mmengine - INFO - Epoch(train) [51][4800/5005] lr: 5.0000e-02 eta: 1 day, 0:31:26 time: 0.3639 data_time: 0.0050 loss: 1.8840 03/04 01:19:03 - mmengine - INFO - Epoch(train) [51][4900/5005] lr: 5.0000e-02 eta: 1 day, 0:30:51 time: 0.4383 data_time: 0.0051 loss: 1.6360 03/04 01:19:45 - mmengine - INFO - Epoch(train) [51][5000/5005] lr: 5.0000e-02 eta: 1 day, 0:30:21 time: 0.4494 data_time: 0.0052 loss: 1.8620 03/04 01:19:48 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 01:19:51 - mmengine - INFO - Saving checkpoint at 51 epochs 03/04 01:20:08 - mmengine - INFO - Epoch(val) [51][100/196] eta: 0:00:15 time: 0.0472 data_time: 0.0003 03/04 01:20:24 - mmengine - INFO - Epoch(val) [51][196/196] accuracy/top1: 62.7440 accuracy/top5: 85.3860 03/04 01:21:09 - mmengine - INFO - Epoch(train) [52][ 100/5005] lr: 4.8429e-02 eta: 1 day, 0:29:52 time: 0.3529 data_time: 0.0048 loss: 1.8484 03/04 01:21:45 - mmengine - INFO - Epoch(train) [52][ 200/5005] lr: 4.8429e-02 eta: 1 day, 0:29:15 time: 0.3507 data_time: 0.0049 loss: 1.7213 03/04 01:22:20 - mmengine - INFO - Epoch(train) [52][ 300/5005] lr: 4.8429e-02 eta: 1 day, 0:28:39 time: 0.3526 data_time: 0.0050 loss: 1.7687 03/04 01:22:56 - mmengine - INFO - Epoch(train) [52][ 400/5005] lr: 4.8429e-02 eta: 1 day, 0:28:03 time: 0.3749 data_time: 0.0048 loss: 1.8206 03/04 01:23:31 - mmengine - INFO - Epoch(train) [52][ 500/5005] lr: 4.8429e-02 eta: 1 day, 0:27:26 time: 0.3401 data_time: 0.0047 loss: 1.7445 03/04 01:24:07 - mmengine - INFO - Epoch(train) [52][ 600/5005] lr: 4.8429e-02 eta: 1 day, 0:26:50 time: 0.3693 data_time: 0.0047 loss: 1.6389 03/04 01:24:43 - mmengine - INFO - Epoch(train) [52][ 700/5005] lr: 4.8429e-02 eta: 1 day, 0:26:13 time: 0.3518 data_time: 0.0049 loss: 1.8732 03/04 01:24:59 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 01:25:18 - mmengine - INFO - Epoch(train) [52][ 800/5005] lr: 4.8429e-02 eta: 1 day, 0:25:37 time: 0.3416 data_time: 0.0050 loss: 1.7293 03/04 01:25:54 - mmengine - INFO - Epoch(train) [52][ 900/5005] lr: 4.8429e-02 eta: 1 day, 0:25:01 time: 0.3498 data_time: 0.0050 loss: 1.8358 03/04 01:26:29 - mmengine - INFO - Epoch(train) [52][1000/5005] lr: 4.8429e-02 eta: 1 day, 0:24:24 time: 0.3595 data_time: 0.0047 loss: 1.9919 03/04 01:27:05 - mmengine - INFO - Epoch(train) [52][1100/5005] lr: 4.8429e-02 eta: 1 day, 0:23:47 time: 0.3453 data_time: 0.0050 loss: 1.9008 03/04 01:27:40 - mmengine - INFO - Epoch(train) [52][1200/5005] lr: 4.8429e-02 eta: 1 day, 0:23:11 time: 0.3661 data_time: 0.0050 loss: 1.7548 03/04 01:28:16 - mmengine - INFO - Epoch(train) [52][1300/5005] lr: 4.8429e-02 eta: 1 day, 0:22:34 time: 0.3601 data_time: 0.0049 loss: 1.7604 03/04 01:28:51 - mmengine - INFO - Epoch(train) [52][1400/5005] lr: 4.8429e-02 eta: 1 day, 0:21:57 time: 0.3492 data_time: 0.0048 loss: 1.9642 03/04 01:29:26 - mmengine - INFO - Epoch(train) [52][1500/5005] lr: 4.8429e-02 eta: 1 day, 0:21:21 time: 0.3678 data_time: 0.0052 loss: 1.7180 03/04 01:30:02 - mmengine - INFO - Epoch(train) [52][1600/5005] lr: 4.8429e-02 eta: 1 day, 0:20:44 time: 0.3462 data_time: 0.0048 loss: 1.7052 03/04 01:30:38 - mmengine - INFO - Epoch(train) [52][1700/5005] lr: 4.8429e-02 eta: 1 day, 0:20:08 time: 0.3596 data_time: 0.0049 loss: 1.7449 03/04 01:30:54 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 01:31:13 - mmengine - INFO - Epoch(train) [52][1800/5005] lr: 4.8429e-02 eta: 1 day, 0:19:32 time: 0.3507 data_time: 0.0046 loss: 1.8938 03/04 01:31:49 - mmengine - INFO - Epoch(train) [52][1900/5005] lr: 4.8429e-02 eta: 1 day, 0:18:55 time: 0.3475 data_time: 0.0048 loss: 1.9955 03/04 01:32:24 - mmengine - INFO - Epoch(train) [52][2000/5005] lr: 4.8429e-02 eta: 1 day, 0:18:18 time: 0.3526 data_time: 0.0048 loss: 1.7779 03/04 01:32:59 - mmengine - INFO - Epoch(train) [52][2100/5005] lr: 4.8429e-02 eta: 1 day, 0:17:42 time: 0.3633 data_time: 0.0050 loss: 1.6819 03/04 01:33:35 - mmengine - INFO - Epoch(train) [52][2200/5005] lr: 4.8429e-02 eta: 1 day, 0:17:05 time: 0.3460 data_time: 0.0049 loss: 1.7637 03/04 01:34:10 - mmengine - INFO - Epoch(train) [52][2300/5005] lr: 4.8429e-02 eta: 1 day, 0:16:28 time: 0.3446 data_time: 0.0047 loss: 1.8558 03/04 01:34:45 - mmengine - INFO - Epoch(train) [52][2400/5005] lr: 4.8429e-02 eta: 1 day, 0:15:52 time: 0.3483 data_time: 0.0047 loss: 1.8099 03/04 01:35:21 - mmengine - INFO - Epoch(train) [52][2500/5005] lr: 4.8429e-02 eta: 1 day, 0:15:16 time: 0.3486 data_time: 0.0050 loss: 1.7921 03/04 01:35:56 - mmengine - INFO - Epoch(train) [52][2600/5005] lr: 4.8429e-02 eta: 1 day, 0:14:39 time: 0.3584 data_time: 0.0051 loss: 1.7859 03/04 01:36:31 - mmengine - INFO - Epoch(train) [52][2700/5005] lr: 4.8429e-02 eta: 1 day, 0:14:02 time: 0.3472 data_time: 0.0052 loss: 1.7142 03/04 01:36:47 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 01:37:07 - mmengine - INFO - Epoch(train) [52][2800/5005] lr: 4.8429e-02 eta: 1 day, 0:13:25 time: 0.3740 data_time: 0.0048 loss: 1.7721 03/04 01:37:42 - mmengine - INFO - Epoch(train) [52][2900/5005] lr: 4.8429e-02 eta: 1 day, 0:12:49 time: 0.3434 data_time: 0.0050 loss: 1.7626 03/04 01:38:18 - mmengine - INFO - Epoch(train) [52][3000/5005] lr: 4.8429e-02 eta: 1 day, 0:12:12 time: 0.3589 data_time: 0.0052 loss: 1.8971 03/04 01:38:53 - mmengine - INFO - Epoch(train) [52][3100/5005] lr: 4.8429e-02 eta: 1 day, 0:11:35 time: 0.3608 data_time: 0.0048 loss: 1.8306 03/04 01:39:28 - mmengine - INFO - Epoch(train) [52][3200/5005] lr: 4.8429e-02 eta: 1 day, 0:10:59 time: 0.3559 data_time: 0.0050 loss: 1.7336 03/04 01:40:04 - mmengine - INFO - Epoch(train) [52][3300/5005] lr: 4.8429e-02 eta: 1 day, 0:10:22 time: 0.3607 data_time: 0.0049 loss: 1.6680 03/04 01:40:39 - mmengine - INFO - Epoch(train) [52][3400/5005] lr: 4.8429e-02 eta: 1 day, 0:09:46 time: 0.3600 data_time: 0.0051 loss: 1.8486 03/04 01:41:15 - mmengine - INFO - Epoch(train) [52][3500/5005] lr: 4.8429e-02 eta: 1 day, 0:09:09 time: 0.3525 data_time: 0.0047 loss: 1.8556 03/04 01:41:50 - mmengine - INFO - Epoch(train) [52][3600/5005] lr: 4.8429e-02 eta: 1 day, 0:08:33 time: 0.3494 data_time: 0.0051 loss: 1.9558 03/04 01:42:25 - mmengine - INFO - Epoch(train) [52][3700/5005] lr: 4.8429e-02 eta: 1 day, 0:07:56 time: 0.3506 data_time: 0.0047 loss: 1.9083 03/04 01:42:41 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 01:43:01 - mmengine - INFO - Epoch(train) [52][3800/5005] lr: 4.8429e-02 eta: 1 day, 0:07:20 time: 0.3704 data_time: 0.0047 loss: 1.8301 03/04 01:43:36 - mmengine - INFO - Epoch(train) [52][3900/5005] lr: 4.8429e-02 eta: 1 day, 0:06:43 time: 0.3459 data_time: 0.0046 loss: 1.6412 03/04 01:44:12 - mmengine - INFO - Epoch(train) [52][4000/5005] lr: 4.8429e-02 eta: 1 day, 0:06:06 time: 0.3446 data_time: 0.0048 loss: 2.0099 03/04 01:44:47 - mmengine - INFO - Epoch(train) [52][4100/5005] lr: 4.8429e-02 eta: 1 day, 0:05:30 time: 0.3620 data_time: 0.0046 loss: 1.7158 03/04 01:45:22 - mmengine - INFO - Epoch(train) [52][4200/5005] lr: 4.8429e-02 eta: 1 day, 0:04:53 time: 0.3581 data_time: 0.0047 loss: 1.8799 03/04 01:45:58 - mmengine - INFO - Epoch(train) [52][4300/5005] lr: 4.8429e-02 eta: 1 day, 0:04:17 time: 0.3440 data_time: 0.0049 loss: 1.9434 03/04 01:46:33 - mmengine - INFO - Epoch(train) [52][4400/5005] lr: 4.8429e-02 eta: 1 day, 0:03:40 time: 0.3464 data_time: 0.0050 loss: 1.7843 03/04 01:47:08 - mmengine - INFO - Epoch(train) [52][4500/5005] lr: 4.8429e-02 eta: 1 day, 0:03:03 time: 0.3569 data_time: 0.0049 loss: 1.9469 03/04 01:47:44 - mmengine - INFO - Epoch(train) [52][4600/5005] lr: 4.8429e-02 eta: 1 day, 0:02:27 time: 0.3715 data_time: 0.0047 loss: 1.7158 03/04 01:48:19 - mmengine - INFO - Epoch(train) [52][4700/5005] lr: 4.8429e-02 eta: 1 day, 0:01:50 time: 0.3615 data_time: 0.0048 loss: 1.5996 03/04 01:48:35 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 01:48:55 - mmengine - INFO - Epoch(train) [52][4800/5005] lr: 4.8429e-02 eta: 1 day, 0:01:13 time: 0.3509 data_time: 0.0049 loss: 2.0705 03/04 01:49:31 - mmengine - INFO - Epoch(train) [52][4900/5005] lr: 4.8429e-02 eta: 1 day, 0:00:38 time: 0.4353 data_time: 0.0052 loss: 1.7755 03/04 01:50:14 - mmengine - INFO - Epoch(train) [52][5000/5005] lr: 4.8429e-02 eta: 1 day, 0:00:08 time: 0.4187 data_time: 0.0053 loss: 1.7557 03/04 01:50:16 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 01:50:19 - mmengine - INFO - Saving checkpoint at 52 epochs 03/04 01:50:36 - mmengine - INFO - Epoch(val) [52][100/196] eta: 0:00:15 time: 0.0455 data_time: 0.0003 03/04 01:50:52 - mmengine - INFO - Epoch(val) [52][196/196] accuracy/top1: 62.1800 accuracy/top5: 85.0120 03/04 01:51:36 - mmengine - INFO - Epoch(train) [53][ 100/5005] lr: 4.6860e-02 eta: 23:59:38 time: 0.3315 data_time: 0.0050 loss: 1.8135 03/04 01:52:12 - mmengine - INFO - Epoch(train) [53][ 200/5005] lr: 4.6860e-02 eta: 23:59:02 time: 0.3623 data_time: 0.0048 loss: 1.8271 03/04 01:52:47 - mmengine - INFO - Epoch(train) [53][ 300/5005] lr: 4.6860e-02 eta: 23:58:25 time: 0.3497 data_time: 0.0047 loss: 1.7182 03/04 01:53:23 - mmengine - INFO - Epoch(train) [53][ 400/5005] lr: 4.6860e-02 eta: 23:57:49 time: 0.3484 data_time: 0.0053 loss: 1.7507 03/04 01:53:59 - mmengine - INFO - Epoch(train) [53][ 500/5005] lr: 4.6860e-02 eta: 23:57:12 time: 0.3542 data_time: 0.0049 loss: 1.7768 03/04 01:54:34 - mmengine - INFO - Epoch(train) [53][ 600/5005] lr: 4.6860e-02 eta: 23:56:36 time: 0.3426 data_time: 0.0048 loss: 1.8631 03/04 01:55:10 - mmengine - INFO - Epoch(train) [53][ 700/5005] lr: 4.6860e-02 eta: 23:56:00 time: 0.3590 data_time: 0.0048 loss: 1.7450 03/04 01:55:24 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 01:55:46 - mmengine - INFO - Epoch(train) [53][ 800/5005] lr: 4.6860e-02 eta: 23:55:23 time: 0.3669 data_time: 0.0049 loss: 1.5403 03/04 01:56:21 - mmengine - INFO - Epoch(train) [53][ 900/5005] lr: 4.6860e-02 eta: 23:54:47 time: 0.3406 data_time: 0.0049 loss: 1.8402 03/04 01:56:56 - mmengine - INFO - Epoch(train) [53][1000/5005] lr: 4.6860e-02 eta: 23:54:10 time: 0.3581 data_time: 0.0049 loss: 1.9546 03/04 01:57:32 - mmengine - INFO - Epoch(train) [53][1100/5005] lr: 4.6860e-02 eta: 23:53:34 time: 0.3467 data_time: 0.0048 loss: 1.7951 03/04 01:58:08 - mmengine - INFO - Epoch(train) [53][1200/5005] lr: 4.6860e-02 eta: 23:52:57 time: 0.3515 data_time: 0.0051 loss: 1.9975 03/04 01:58:43 - mmengine - INFO - Epoch(train) [53][1300/5005] lr: 4.6860e-02 eta: 23:52:21 time: 0.3629 data_time: 0.0048 loss: 1.8701 03/04 01:59:18 - mmengine - INFO - Epoch(train) [53][1400/5005] lr: 4.6860e-02 eta: 23:51:44 time: 0.3532 data_time: 0.0048 loss: 1.7824 03/04 01:59:54 - mmengine - INFO - Epoch(train) [53][1500/5005] lr: 4.6860e-02 eta: 23:51:08 time: 0.3429 data_time: 0.0046 loss: 1.6747 03/04 02:00:29 - mmengine - INFO - Epoch(train) [53][1600/5005] lr: 4.6860e-02 eta: 23:50:31 time: 0.3598 data_time: 0.0049 loss: 1.7553 03/04 02:01:05 - mmengine - INFO - Epoch(train) [53][1700/5005] lr: 4.6860e-02 eta: 23:49:55 time: 0.3470 data_time: 0.0051 loss: 1.6545 03/04 02:01:19 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 02:01:40 - mmengine - INFO - Epoch(train) [53][1800/5005] lr: 4.6860e-02 eta: 23:49:18 time: 0.3466 data_time: 0.0049 loss: 2.0088 03/04 02:02:16 - mmengine - INFO - Epoch(train) [53][1900/5005] lr: 4.6860e-02 eta: 23:48:42 time: 0.3668 data_time: 0.0045 loss: 1.8197 03/04 02:02:51 - mmengine - INFO - Epoch(train) [53][2000/5005] lr: 4.6860e-02 eta: 23:48:05 time: 0.3462 data_time: 0.0048 loss: 1.9663 03/04 02:03:27 - mmengine - INFO - Epoch(train) [53][2100/5005] lr: 4.6860e-02 eta: 23:47:29 time: 0.3548 data_time: 0.0049 loss: 1.8855 03/04 02:04:02 - mmengine - INFO - Epoch(train) [53][2200/5005] lr: 4.6860e-02 eta: 23:46:52 time: 0.3412 data_time: 0.0052 loss: 1.6682 03/04 02:04:37 - mmengine - INFO - Epoch(train) [53][2300/5005] lr: 4.6860e-02 eta: 23:46:16 time: 0.3627 data_time: 0.0051 loss: 1.8608 03/04 02:05:13 - mmengine - INFO - Epoch(train) [53][2400/5005] lr: 4.6860e-02 eta: 23:45:39 time: 0.3485 data_time: 0.0046 loss: 1.6081 03/04 02:05:48 - mmengine - INFO - Epoch(train) [53][2500/5005] lr: 4.6860e-02 eta: 23:45:02 time: 0.3517 data_time: 0.0046 loss: 1.8884 03/04 02:06:24 - mmengine - INFO - Epoch(train) [53][2600/5005] lr: 4.6860e-02 eta: 23:44:26 time: 0.3483 data_time: 0.0051 loss: 1.8346 03/04 02:06:59 - mmengine - INFO - Epoch(train) [53][2700/5005] lr: 4.6860e-02 eta: 23:43:49 time: 0.3488 data_time: 0.0049 loss: 1.9826 03/04 02:07:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 02:07:34 - mmengine - INFO - Epoch(train) [53][2800/5005] lr: 4.6860e-02 eta: 23:43:13 time: 0.3488 data_time: 0.0049 loss: 1.9518 03/04 02:08:10 - mmengine - INFO - Epoch(train) [53][2900/5005] lr: 4.6860e-02 eta: 23:42:36 time: 0.3504 data_time: 0.0056 loss: 1.5934 03/04 02:08:45 - mmengine - INFO - Epoch(train) [53][3000/5005] lr: 4.6860e-02 eta: 23:41:59 time: 0.3466 data_time: 0.0049 loss: 1.7315 03/04 02:09:20 - mmengine - INFO - Epoch(train) [53][3100/5005] lr: 4.6860e-02 eta: 23:41:23 time: 0.3464 data_time: 0.0050 loss: 1.8858 03/04 02:09:56 - mmengine - INFO - Epoch(train) [53][3200/5005] lr: 4.6860e-02 eta: 23:40:46 time: 0.3470 data_time: 0.0048 loss: 1.6951 03/04 02:10:31 - mmengine - INFO - Epoch(train) [53][3300/5005] lr: 4.6860e-02 eta: 23:40:10 time: 0.3589 data_time: 0.0049 loss: 1.8202 03/04 02:11:07 - mmengine - INFO - Epoch(train) [53][3400/5005] lr: 4.6860e-02 eta: 23:39:33 time: 0.3708 data_time: 0.0049 loss: 1.9122 03/04 02:11:42 - mmengine - INFO - Epoch(train) [53][3500/5005] lr: 4.6860e-02 eta: 23:38:57 time: 0.3554 data_time: 0.0049 loss: 1.9283 03/04 02:12:18 - mmengine - INFO - Epoch(train) [53][3600/5005] lr: 4.6860e-02 eta: 23:38:20 time: 0.3507 data_time: 0.0049 loss: 1.9511 03/04 02:12:53 - mmengine - INFO - Epoch(train) [53][3700/5005] lr: 4.6860e-02 eta: 23:37:44 time: 0.3449 data_time: 0.0050 loss: 1.8277 03/04 02:13:07 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 02:13:29 - mmengine - INFO - Epoch(train) [53][3800/5005] lr: 4.6860e-02 eta: 23:37:07 time: 0.3491 data_time: 0.0050 loss: 1.7336 03/04 02:14:04 - mmengine - INFO - Epoch(train) [53][3900/5005] lr: 4.6860e-02 eta: 23:36:31 time: 0.3517 data_time: 0.0051 loss: 1.8085 03/04 02:14:39 - mmengine - INFO - Epoch(train) [53][4000/5005] lr: 4.6860e-02 eta: 23:35:54 time: 0.3604 data_time: 0.0050 loss: 1.8269 03/04 02:15:15 - mmengine - INFO - Epoch(train) [53][4100/5005] lr: 4.6860e-02 eta: 23:35:18 time: 0.3692 data_time: 0.0047 loss: 1.7144 03/04 02:15:50 - mmengine - INFO - Epoch(train) [53][4200/5005] lr: 4.6860e-02 eta: 23:34:41 time: 0.3641 data_time: 0.0051 loss: 1.8425 03/04 02:16:26 - mmengine - INFO - Epoch(train) [53][4300/5005] lr: 4.6860e-02 eta: 23:34:05 time: 0.3726 data_time: 0.0048 loss: 1.9289 03/04 02:17:01 - mmengine - INFO - Epoch(train) [53][4400/5005] lr: 4.6860e-02 eta: 23:33:28 time: 0.3544 data_time: 0.0050 loss: 1.7668 03/04 02:17:37 - mmengine - INFO - Epoch(train) [53][4500/5005] lr: 4.6860e-02 eta: 23:32:52 time: 0.3424 data_time: 0.0050 loss: 1.7823 03/04 02:18:12 - mmengine - INFO - Epoch(train) [53][4600/5005] lr: 4.6860e-02 eta: 23:32:15 time: 0.3572 data_time: 0.0052 loss: 1.8480 03/04 02:18:48 - mmengine - INFO - Epoch(train) [53][4700/5005] lr: 4.6860e-02 eta: 23:31:39 time: 0.3466 data_time: 0.0048 loss: 1.8260 03/04 02:19:02 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 02:19:23 - mmengine - INFO - Epoch(train) [53][4800/5005] lr: 4.6860e-02 eta: 23:31:02 time: 0.3454 data_time: 0.0047 loss: 1.7425 03/04 02:20:00 - mmengine - INFO - Epoch(train) [53][4900/5005] lr: 4.6860e-02 eta: 23:30:27 time: 0.4107 data_time: 0.0051 loss: 1.8757 03/04 02:20:43 - mmengine - INFO - Epoch(train) [53][5000/5005] lr: 4.6860e-02 eta: 23:29:58 time: 0.4047 data_time: 0.0049 loss: 1.8591 03/04 02:20:46 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 02:20:49 - mmengine - INFO - Saving checkpoint at 53 epochs 03/04 02:21:06 - mmengine - INFO - Epoch(val) [53][100/196] eta: 0:00:15 time: 0.0382 data_time: 0.0002 03/04 02:21:22 - mmengine - INFO - Epoch(val) [53][196/196] accuracy/top1: 62.8320 accuracy/top5: 85.6540 03/04 02:22:07 - mmengine - INFO - Epoch(train) [54][ 100/5005] lr: 4.5295e-02 eta: 23:29:28 time: 0.3652 data_time: 0.0051 loss: 2.0237 03/04 02:22:42 - mmengine - INFO - Epoch(train) [54][ 200/5005] lr: 4.5295e-02 eta: 23:28:51 time: 0.3467 data_time: 0.0050 loss: 1.7225 03/04 02:23:19 - mmengine - INFO - Epoch(train) [54][ 300/5005] lr: 4.5295e-02 eta: 23:28:16 time: 0.3677 data_time: 0.0047 loss: 1.7032 03/04 02:23:54 - mmengine - INFO - Epoch(train) [54][ 400/5005] lr: 4.5295e-02 eta: 23:27:39 time: 0.3616 data_time: 0.0050 loss: 1.6960 03/04 02:24:30 - mmengine - INFO - Epoch(train) [54][ 500/5005] lr: 4.5295e-02 eta: 23:27:03 time: 0.3508 data_time: 0.0049 loss: 1.7031 03/04 02:25:05 - mmengine - INFO - Epoch(train) [54][ 600/5005] lr: 4.5295e-02 eta: 23:26:26 time: 0.3421 data_time: 0.0048 loss: 1.7504 03/04 02:25:41 - mmengine - INFO - Epoch(train) [54][ 700/5005] lr: 4.5295e-02 eta: 23:25:50 time: 0.3639 data_time: 0.0048 loss: 1.4972 03/04 02:25:53 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 02:26:16 - mmengine - INFO - Epoch(train) [54][ 800/5005] lr: 4.5295e-02 eta: 23:25:13 time: 0.3495 data_time: 0.0048 loss: 1.8343 03/04 02:26:52 - mmengine - INFO - Epoch(train) [54][ 900/5005] lr: 4.5295e-02 eta: 23:24:37 time: 0.3468 data_time: 0.0050 loss: 1.7889 03/04 02:27:27 - mmengine - INFO - Epoch(train) [54][1000/5005] lr: 4.5295e-02 eta: 23:24:01 time: 0.3879 data_time: 0.0050 loss: 1.9520 03/04 02:28:03 - mmengine - INFO - Epoch(train) [54][1100/5005] lr: 4.5295e-02 eta: 23:23:24 time: 0.3510 data_time: 0.0053 loss: 1.7871 03/04 02:28:38 - mmengine - INFO - Epoch(train) [54][1200/5005] lr: 4.5295e-02 eta: 23:22:48 time: 0.3659 data_time: 0.0049 loss: 1.6480 03/04 02:29:13 - mmengine - INFO - Epoch(train) [54][1300/5005] lr: 4.5295e-02 eta: 23:22:11 time: 0.3404 data_time: 0.0048 loss: 1.7117 03/04 02:29:49 - mmengine - INFO - Epoch(train) [54][1400/5005] lr: 4.5295e-02 eta: 23:21:34 time: 0.3688 data_time: 0.0050 loss: 1.7934 03/04 02:30:24 - mmengine - INFO - Epoch(train) [54][1500/5005] lr: 4.5295e-02 eta: 23:20:58 time: 0.3588 data_time: 0.0052 loss: 1.8091 03/04 02:30:59 - mmengine - INFO - Epoch(train) [54][1600/5005] lr: 4.5295e-02 eta: 23:20:21 time: 0.3468 data_time: 0.0051 loss: 1.9811 03/04 02:31:35 - mmengine - INFO - Epoch(train) [54][1700/5005] lr: 4.5295e-02 eta: 23:19:44 time: 0.3446 data_time: 0.0048 loss: 1.7599 03/04 02:31:47 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 02:32:10 - mmengine - INFO - Epoch(train) [54][1800/5005] lr: 4.5295e-02 eta: 23:19:08 time: 0.3669 data_time: 0.0047 loss: 2.0515 03/04 02:32:45 - mmengine - INFO - Epoch(train) [54][1900/5005] lr: 4.5295e-02 eta: 23:18:31 time: 0.3451 data_time: 0.0051 loss: 1.7929 03/04 02:33:21 - mmengine - INFO - Epoch(train) [54][2000/5005] lr: 4.5295e-02 eta: 23:17:55 time: 0.3610 data_time: 0.0057 loss: 1.9608 03/04 02:33:56 - mmengine - INFO - Epoch(train) [54][2100/5005] lr: 4.5295e-02 eta: 23:17:18 time: 0.3442 data_time: 0.0048 loss: 1.7783 03/04 02:34:31 - mmengine - INFO - Epoch(train) [54][2200/5005] lr: 4.5295e-02 eta: 23:16:42 time: 0.3413 data_time: 0.0048 loss: 1.6295 03/04 02:35:06 - mmengine - INFO - Epoch(train) [54][2300/5005] lr: 4.5295e-02 eta: 23:16:05 time: 0.3432 data_time: 0.0051 loss: 1.9926 03/04 02:35:42 - mmengine - INFO - Epoch(train) [54][2400/5005] lr: 4.5295e-02 eta: 23:15:28 time: 0.3447 data_time: 0.0051 loss: 1.9252 03/04 02:36:18 - mmengine - INFO - Epoch(train) [54][2500/5005] lr: 4.5295e-02 eta: 23:14:52 time: 0.3430 data_time: 0.0048 loss: 1.7706 03/04 02:36:53 - mmengine - INFO - Epoch(train) [54][2600/5005] lr: 4.5295e-02 eta: 23:14:15 time: 0.3447 data_time: 0.0050 loss: 1.7566 03/04 02:37:28 - mmengine - INFO - Epoch(train) [54][2700/5005] lr: 4.5295e-02 eta: 23:13:39 time: 0.3463 data_time: 0.0051 loss: 1.8425 03/04 02:37:41 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 02:38:04 - mmengine - INFO - Epoch(train) [54][2800/5005] lr: 4.5295e-02 eta: 23:13:03 time: 0.3628 data_time: 0.0049 loss: 1.7030 03/04 02:38:39 - mmengine - INFO - Epoch(train) [54][2900/5005] lr: 4.5295e-02 eta: 23:12:26 time: 0.3575 data_time: 0.0049 loss: 1.6764 03/04 02:39:14 - mmengine - INFO - Epoch(train) [54][3000/5005] lr: 4.5295e-02 eta: 23:11:49 time: 0.3481 data_time: 0.0049 loss: 1.7857 03/04 02:39:50 - mmengine - INFO - Epoch(train) [54][3100/5005] lr: 4.5295e-02 eta: 23:11:12 time: 0.3566 data_time: 0.0048 loss: 1.8245 03/04 02:40:25 - mmengine - INFO - Epoch(train) [54][3200/5005] lr: 4.5295e-02 eta: 23:10:36 time: 0.3420 data_time: 0.0049 loss: 1.6429 03/04 02:41:00 - mmengine - INFO - Epoch(train) [54][3300/5005] lr: 4.5295e-02 eta: 23:09:59 time: 0.3746 data_time: 0.0048 loss: 1.8812 03/04 02:41:35 - mmengine - INFO - Epoch(train) [54][3400/5005] lr: 4.5295e-02 eta: 23:09:22 time: 0.3523 data_time: 0.0049 loss: 1.7194 03/04 02:42:10 - mmengine - INFO - Epoch(train) [54][3500/5005] lr: 4.5295e-02 eta: 23:08:46 time: 0.3463 data_time: 0.0047 loss: 1.6154 03/04 02:42:46 - mmengine - INFO - Epoch(train) [54][3600/5005] lr: 4.5295e-02 eta: 23:08:09 time: 0.3681 data_time: 0.0048 loss: 1.6677 03/04 02:43:21 - mmengine - INFO - Epoch(train) [54][3700/5005] lr: 4.5295e-02 eta: 23:07:32 time: 0.3415 data_time: 0.0049 loss: 1.7544 03/04 02:43:34 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 02:43:57 - mmengine - INFO - Epoch(train) [54][3800/5005] lr: 4.5295e-02 eta: 23:06:56 time: 0.3456 data_time: 0.0049 loss: 1.6053 03/04 02:44:32 - mmengine - INFO - Epoch(train) [54][3900/5005] lr: 4.5295e-02 eta: 23:06:19 time: 0.3436 data_time: 0.0051 loss: 1.7126 03/04 02:45:07 - mmengine - INFO - Epoch(train) [54][4000/5005] lr: 4.5295e-02 eta: 23:05:43 time: 0.3464 data_time: 0.0049 loss: 1.6407 03/04 02:45:43 - mmengine - INFO - Epoch(train) [54][4100/5005] lr: 4.5295e-02 eta: 23:05:06 time: 0.3519 data_time: 0.0050 loss: 1.5322 03/04 02:46:18 - mmengine - INFO - Epoch(train) [54][4200/5005] lr: 4.5295e-02 eta: 23:04:30 time: 0.3409 data_time: 0.0052 loss: 1.7088 03/04 02:46:53 - mmengine - INFO - Epoch(train) [54][4300/5005] lr: 4.5295e-02 eta: 23:03:53 time: 0.3575 data_time: 0.0048 loss: 1.8544 03/04 02:47:29 - mmengine - INFO - Epoch(train) [54][4400/5005] lr: 4.5295e-02 eta: 23:03:17 time: 0.3681 data_time: 0.0048 loss: 1.9642 03/04 02:48:04 - mmengine - INFO - Epoch(train) [54][4500/5005] lr: 4.5295e-02 eta: 23:02:40 time: 0.3467 data_time: 0.0051 loss: 1.8460 03/04 02:48:39 - mmengine - INFO - Epoch(train) [54][4600/5005] lr: 4.5295e-02 eta: 23:02:04 time: 0.3640 data_time: 0.0049 loss: 1.8902 03/04 02:49:15 - mmengine - INFO - Epoch(train) [54][4700/5005] lr: 4.5295e-02 eta: 23:01:27 time: 0.3641 data_time: 0.0049 loss: 1.7997 03/04 02:49:27 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 02:49:50 - mmengine - INFO - Epoch(train) [54][4800/5005] lr: 4.5295e-02 eta: 23:00:51 time: 0.3450 data_time: 0.0049 loss: 1.7896 03/04 02:50:27 - mmengine - INFO - Epoch(train) [54][4900/5005] lr: 4.5295e-02 eta: 23:00:15 time: 0.4441 data_time: 0.0051 loss: 1.8688 03/04 02:51:10 - mmengine - INFO - Epoch(train) [54][5000/5005] lr: 4.5295e-02 eta: 22:59:45 time: 0.4406 data_time: 0.0060 loss: 1.7847 03/04 02:51:12 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 02:51:16 - mmengine - INFO - Saving checkpoint at 54 epochs 03/04 02:51:33 - mmengine - INFO - Epoch(val) [54][100/196] eta: 0:00:15 time: 0.0421 data_time: 0.0003 03/04 02:51:49 - mmengine - INFO - Epoch(val) [54][196/196] accuracy/top1: 63.1720 accuracy/top5: 85.8660 03/04 02:52:33 - mmengine - INFO - Epoch(train) [55][ 100/5005] lr: 4.3733e-02 eta: 22:59:15 time: 0.3377 data_time: 0.0051 loss: 1.9661 03/04 02:53:09 - mmengine - INFO - Epoch(train) [55][ 200/5005] lr: 4.3733e-02 eta: 22:58:39 time: 0.3663 data_time: 0.0046 loss: 1.7385 03/04 02:53:45 - mmengine - INFO - Epoch(train) [55][ 300/5005] lr: 4.3733e-02 eta: 22:58:03 time: 0.3663 data_time: 0.0048 loss: 1.9142 03/04 02:54:21 - mmengine - INFO - Epoch(train) [55][ 400/5005] lr: 4.3733e-02 eta: 22:57:27 time: 0.3494 data_time: 0.0048 loss: 1.7214 03/04 02:54:56 - mmengine - INFO - Epoch(train) [55][ 500/5005] lr: 4.3733e-02 eta: 22:56:50 time: 0.3488 data_time: 0.0054 loss: 1.6271 03/04 02:55:32 - mmengine - INFO - Epoch(train) [55][ 600/5005] lr: 4.3733e-02 eta: 22:56:14 time: 0.3469 data_time: 0.0047 loss: 1.6981 03/04 02:56:08 - mmengine - INFO - Epoch(train) [55][ 700/5005] lr: 4.3733e-02 eta: 22:55:38 time: 0.3579 data_time: 0.0051 loss: 1.7326 03/04 02:56:18 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 02:56:43 - mmengine - INFO - Epoch(train) [55][ 800/5005] lr: 4.3733e-02 eta: 22:55:01 time: 0.3652 data_time: 0.0047 loss: 1.5741 03/04 02:57:19 - mmengine - INFO - Epoch(train) [55][ 900/5005] lr: 4.3733e-02 eta: 22:54:25 time: 0.3667 data_time: 0.0047 loss: 1.6682 03/04 02:57:55 - mmengine - INFO - Epoch(train) [55][1000/5005] lr: 4.3733e-02 eta: 22:53:49 time: 0.3895 data_time: 0.0049 loss: 1.6629 03/04 02:58:30 - mmengine - INFO - Epoch(train) [55][1100/5005] lr: 4.3733e-02 eta: 22:53:12 time: 0.3481 data_time: 0.0047 loss: 1.8092 03/04 02:59:05 - mmengine - INFO - Epoch(train) [55][1200/5005] lr: 4.3733e-02 eta: 22:52:36 time: 0.3526 data_time: 0.0049 loss: 1.9356 03/04 02:59:41 - mmengine - INFO - Epoch(train) [55][1300/5005] lr: 4.3733e-02 eta: 22:51:59 time: 0.3549 data_time: 0.0049 loss: 1.7256 03/04 03:00:16 - mmengine - INFO - Epoch(train) [55][1400/5005] lr: 4.3733e-02 eta: 22:51:23 time: 0.3447 data_time: 0.0049 loss: 1.8233 03/04 03:00:52 - mmengine - INFO - Epoch(train) [55][1500/5005] lr: 4.3733e-02 eta: 22:50:47 time: 0.3491 data_time: 0.0052 loss: 1.5811 03/04 03:01:28 - mmengine - INFO - Epoch(train) [55][1600/5005] lr: 4.3733e-02 eta: 22:50:10 time: 0.3475 data_time: 0.0048 loss: 2.0201 03/04 03:02:03 - mmengine - INFO - Epoch(train) [55][1700/5005] lr: 4.3733e-02 eta: 22:49:34 time: 0.3443 data_time: 0.0047 loss: 1.7676 03/04 03:02:14 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 03:02:39 - mmengine - INFO - Epoch(train) [55][1800/5005] lr: 4.3733e-02 eta: 22:48:57 time: 0.3655 data_time: 0.0049 loss: 1.7089 03/04 03:03:14 - mmengine - INFO - Epoch(train) [55][1900/5005] lr: 4.3733e-02 eta: 22:48:21 time: 0.3596 data_time: 0.0048 loss: 1.9276 03/04 03:03:49 - mmengine - INFO - Epoch(train) [55][2000/5005] lr: 4.3733e-02 eta: 22:47:44 time: 0.3458 data_time: 0.0049 loss: 1.7336 03/04 03:04:25 - mmengine - INFO - Epoch(train) [55][2100/5005] lr: 4.3733e-02 eta: 22:47:08 time: 0.3599 data_time: 0.0049 loss: 1.6956 03/04 03:05:01 - mmengine - INFO - Epoch(train) [55][2200/5005] lr: 4.3733e-02 eta: 22:46:32 time: 0.3456 data_time: 0.0051 loss: 1.9092 03/04 03:05:36 - mmengine - INFO - Epoch(train) [55][2300/5005] lr: 4.3733e-02 eta: 22:45:55 time: 0.3560 data_time: 0.0050 loss: 1.8364 03/04 03:06:12 - mmengine - INFO - Epoch(train) [55][2400/5005] lr: 4.3733e-02 eta: 22:45:19 time: 0.3505 data_time: 0.0048 loss: 1.8814 03/04 03:06:47 - mmengine - INFO - Epoch(train) [55][2500/5005] lr: 4.3733e-02 eta: 22:44:42 time: 0.3473 data_time: 0.0049 loss: 1.8974 03/04 03:07:22 - mmengine - INFO - Epoch(train) [55][2600/5005] lr: 4.3733e-02 eta: 22:44:06 time: 0.3560 data_time: 0.0048 loss: 1.8935 03/04 03:07:57 - mmengine - INFO - Epoch(train) [55][2700/5005] lr: 4.3733e-02 eta: 22:43:29 time: 0.3608 data_time: 0.0049 loss: 1.9400 03/04 03:08:08 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 03:08:33 - mmengine - INFO - Epoch(train) [55][2800/5005] lr: 4.3733e-02 eta: 22:42:52 time: 0.3437 data_time: 0.0051 loss: 1.7152 03/04 03:09:08 - mmengine - INFO - Epoch(train) [55][2900/5005] lr: 4.3733e-02 eta: 22:42:16 time: 0.3474 data_time: 0.0049 loss: 1.7363 03/04 03:09:44 - mmengine - INFO - Epoch(train) [55][3000/5005] lr: 4.3733e-02 eta: 22:41:39 time: 0.3483 data_time: 0.0049 loss: 1.7099 03/04 03:10:19 - mmengine - INFO - Epoch(train) [55][3100/5005] lr: 4.3733e-02 eta: 22:41:03 time: 0.3596 data_time: 0.0049 loss: 1.8951 03/04 03:10:54 - mmengine - INFO - Epoch(train) [55][3200/5005] lr: 4.3733e-02 eta: 22:40:26 time: 0.3693 data_time: 0.0048 loss: 1.6374 03/04 03:11:30 - mmengine - INFO - Epoch(train) [55][3300/5005] lr: 4.3733e-02 eta: 22:39:50 time: 0.3640 data_time: 0.0047 loss: 1.8860 03/04 03:12:05 - mmengine - INFO - Epoch(train) [55][3400/5005] lr: 4.3733e-02 eta: 22:39:13 time: 0.3450 data_time: 0.0048 loss: 1.7909 03/04 03:12:40 - mmengine - INFO - Epoch(train) [55][3500/5005] lr: 4.3733e-02 eta: 22:38:37 time: 0.3392 data_time: 0.0050 loss: 1.6729 03/04 03:13:16 - mmengine - INFO - Epoch(train) [55][3600/5005] lr: 4.3733e-02 eta: 22:38:00 time: 0.3560 data_time: 0.0049 loss: 1.7343 03/04 03:13:52 - mmengine - INFO - Epoch(train) [55][3700/5005] lr: 4.3733e-02 eta: 22:37:24 time: 0.3616 data_time: 0.0052 loss: 1.9794 03/04 03:14:02 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 03:14:27 - mmengine - INFO - Epoch(train) [55][3800/5005] lr: 4.3733e-02 eta: 22:36:47 time: 0.3423 data_time: 0.0050 loss: 1.7930 03/04 03:15:02 - mmengine - INFO - Epoch(train) [55][3900/5005] lr: 4.3733e-02 eta: 22:36:11 time: 0.3564 data_time: 0.0049 loss: 1.9452 03/04 03:15:38 - mmengine - INFO - Epoch(train) [55][4000/5005] lr: 4.3733e-02 eta: 22:35:35 time: 0.3450 data_time: 0.0048 loss: 1.6601 03/04 03:16:13 - mmengine - INFO - Epoch(train) [55][4100/5005] lr: 4.3733e-02 eta: 22:34:58 time: 0.3640 data_time: 0.0048 loss: 1.6586 03/04 03:16:48 - mmengine - INFO - Epoch(train) [55][4200/5005] lr: 4.3733e-02 eta: 22:34:22 time: 0.3482 data_time: 0.0054 loss: 1.7296 03/04 03:17:24 - mmengine - INFO - Epoch(train) [55][4300/5005] lr: 4.3733e-02 eta: 22:33:45 time: 0.3385 data_time: 0.0051 loss: 1.9755 03/04 03:17:59 - mmengine - INFO - Epoch(train) [55][4400/5005] lr: 4.3733e-02 eta: 22:33:09 time: 0.3498 data_time: 0.0047 loss: 1.6890 03/04 03:18:35 - mmengine - INFO - Epoch(train) [55][4500/5005] lr: 4.3733e-02 eta: 22:32:32 time: 0.3477 data_time: 0.0050 loss: 1.6135 03/04 03:19:10 - mmengine - INFO - Epoch(train) [55][4600/5005] lr: 4.3733e-02 eta: 22:31:56 time: 0.3456 data_time: 0.0050 loss: 1.9141 03/04 03:19:45 - mmengine - INFO - Epoch(train) [55][4700/5005] lr: 4.3733e-02 eta: 22:31:19 time: 0.3521 data_time: 0.0046 loss: 1.8970 03/04 03:19:56 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 03:20:20 - mmengine - INFO - Epoch(train) [55][4800/5005] lr: 4.3733e-02 eta: 22:30:42 time: 0.3568 data_time: 0.0051 loss: 1.8981 03/04 03:20:57 - mmengine - INFO - Epoch(train) [55][4900/5005] lr: 4.3733e-02 eta: 22:30:07 time: 0.4043 data_time: 0.0049 loss: 1.9071 03/04 03:21:40 - mmengine - INFO - Epoch(train) [55][5000/5005] lr: 4.3733e-02 eta: 22:29:37 time: 0.4439 data_time: 0.0057 loss: 1.8762 03/04 03:21:42 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 03:21:45 - mmengine - INFO - Saving checkpoint at 55 epochs 03/04 03:22:02 - mmengine - INFO - Epoch(val) [55][100/196] eta: 0:00:15 time: 0.0510 data_time: 0.0003 03/04 03:22:19 - mmengine - INFO - Epoch(val) [55][196/196] accuracy/top1: 63.8200 accuracy/top5: 86.1920 03/04 03:23:03 - mmengine - INFO - Epoch(train) [56][ 100/5005] lr: 4.2178e-02 eta: 22:29:06 time: 0.3706 data_time: 0.0049 loss: 1.8849 03/04 03:23:39 - mmengine - INFO - Epoch(train) [56][ 200/5005] lr: 4.2178e-02 eta: 22:28:30 time: 0.3440 data_time: 0.0050 loss: 1.7504 03/04 03:24:14 - mmengine - INFO - Epoch(train) [56][ 300/5005] lr: 4.2178e-02 eta: 22:27:53 time: 0.3426 data_time: 0.0051 loss: 1.7102 03/04 03:24:50 - mmengine - INFO - Epoch(train) [56][ 400/5005] lr: 4.2178e-02 eta: 22:27:17 time: 0.3554 data_time: 0.0048 loss: 1.8645 03/04 03:25:26 - mmengine - INFO - Epoch(train) [56][ 500/5005] lr: 4.2178e-02 eta: 22:26:41 time: 0.3663 data_time: 0.0049 loss: 1.7599 03/04 03:26:01 - mmengine - INFO - Epoch(train) [56][ 600/5005] lr: 4.2178e-02 eta: 22:26:04 time: 0.3474 data_time: 0.0049 loss: 1.7208 03/04 03:26:36 - mmengine - INFO - Epoch(train) [56][ 700/5005] lr: 4.2178e-02 eta: 22:25:28 time: 0.3427 data_time: 0.0048 loss: 1.8251 03/04 03:26:45 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 03:27:11 - mmengine - INFO - Epoch(train) [56][ 800/5005] lr: 4.2178e-02 eta: 22:24:51 time: 0.3410 data_time: 0.0049 loss: 1.8218 03/04 03:27:47 - mmengine - INFO - Epoch(train) [56][ 900/5005] lr: 4.2178e-02 eta: 22:24:15 time: 0.3601 data_time: 0.0047 loss: 1.8192 03/04 03:28:23 - mmengine - INFO - Epoch(train) [56][1000/5005] lr: 4.2178e-02 eta: 22:23:38 time: 0.3895 data_time: 0.0047 loss: 1.6726 03/04 03:28:57 - mmengine - INFO - Epoch(train) [56][1100/5005] lr: 4.2178e-02 eta: 22:23:01 time: 0.3378 data_time: 0.0053 loss: 1.6757 03/04 03:29:33 - mmengine - INFO - Epoch(train) [56][1200/5005] lr: 4.2178e-02 eta: 22:22:25 time: 0.3515 data_time: 0.0049 loss: 1.5736 03/04 03:30:08 - mmengine - INFO - Epoch(train) [56][1300/5005] lr: 4.2178e-02 eta: 22:21:48 time: 0.3747 data_time: 0.0048 loss: 1.8784 03/04 03:30:44 - mmengine - INFO - Epoch(train) [56][1400/5005] lr: 4.2178e-02 eta: 22:21:12 time: 0.3495 data_time: 0.0049 loss: 1.6665 03/04 03:31:19 - mmengine - INFO - Epoch(train) [56][1500/5005] lr: 4.2178e-02 eta: 22:20:36 time: 0.3476 data_time: 0.0048 loss: 1.6954 03/04 03:31:55 - mmengine - INFO - Epoch(train) [56][1600/5005] lr: 4.2178e-02 eta: 22:19:59 time: 0.3539 data_time: 0.0048 loss: 1.8003 03/04 03:32:30 - mmengine - INFO - Epoch(train) [56][1700/5005] lr: 4.2178e-02 eta: 22:19:23 time: 0.3620 data_time: 0.0050 loss: 1.8836 03/04 03:32:39 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 03:33:05 - mmengine - INFO - Epoch(train) [56][1800/5005] lr: 4.2178e-02 eta: 22:18:46 time: 0.3479 data_time: 0.0047 loss: 1.6574 03/04 03:33:41 - mmengine - INFO - Epoch(train) [56][1900/5005] lr: 4.2178e-02 eta: 22:18:10 time: 0.3499 data_time: 0.0049 loss: 1.7040 03/04 03:34:17 - mmengine - INFO - Epoch(train) [56][2000/5005] lr: 4.2178e-02 eta: 22:17:33 time: 0.3563 data_time: 0.0050 loss: 1.8130 03/04 03:34:52 - mmengine - INFO - Epoch(train) [56][2100/5005] lr: 4.2178e-02 eta: 22:16:57 time: 0.3850 data_time: 0.0048 loss: 1.7388 03/04 03:35:27 - mmengine - INFO - Epoch(train) [56][2200/5005] lr: 4.2178e-02 eta: 22:16:20 time: 0.3422 data_time: 0.0054 loss: 1.9084 03/04 03:36:02 - mmengine - INFO - Epoch(train) [56][2300/5005] lr: 4.2178e-02 eta: 22:15:44 time: 0.3357 data_time: 0.0050 loss: 1.5269 03/04 03:36:37 - mmengine - INFO - Epoch(train) [56][2400/5005] lr: 4.2178e-02 eta: 22:15:07 time: 0.3412 data_time: 0.0048 loss: 1.9185 03/04 03:37:13 - mmengine - INFO - Epoch(train) [56][2500/5005] lr: 4.2178e-02 eta: 22:14:31 time: 0.3506 data_time: 0.0048 loss: 2.0000 03/04 03:37:48 - mmengine - INFO - Epoch(train) [56][2600/5005] lr: 4.2178e-02 eta: 22:13:54 time: 0.3417 data_time: 0.0051 loss: 1.6611 03/04 03:38:24 - mmengine - INFO - Epoch(train) [56][2700/5005] lr: 4.2178e-02 eta: 22:13:18 time: 0.3452 data_time: 0.0047 loss: 1.8712 03/04 03:38:32 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 03:38:59 - mmengine - INFO - Epoch(train) [56][2800/5005] lr: 4.2178e-02 eta: 22:12:41 time: 0.3599 data_time: 0.0050 loss: 1.8506 03/04 03:39:35 - mmengine - INFO - Epoch(train) [56][2900/5005] lr: 4.2178e-02 eta: 22:12:05 time: 0.3621 data_time: 0.0049 loss: 1.7282 03/04 03:40:11 - mmengine - INFO - Epoch(train) [56][3000/5005] lr: 4.2178e-02 eta: 22:11:29 time: 0.3566 data_time: 0.0049 loss: 1.8458 03/04 03:40:46 - mmengine - INFO - Epoch(train) [56][3100/5005] lr: 4.2178e-02 eta: 22:10:52 time: 0.3663 data_time: 0.0049 loss: 1.5439 03/04 03:41:21 - mmengine - INFO - Epoch(train) [56][3200/5005] lr: 4.2178e-02 eta: 22:10:16 time: 0.3506 data_time: 0.0049 loss: 1.5475 03/04 03:41:58 - mmengine - INFO - Epoch(train) [56][3300/5005] lr: 4.2178e-02 eta: 22:09:40 time: 0.3684 data_time: 0.0048 loss: 1.7356 03/04 03:42:33 - mmengine - INFO - Epoch(train) [56][3400/5005] lr: 4.2178e-02 eta: 22:09:03 time: 0.3447 data_time: 0.0048 loss: 1.7074 03/04 03:43:08 - mmengine - INFO - Epoch(train) [56][3500/5005] lr: 4.2178e-02 eta: 22:08:27 time: 0.3506 data_time: 0.0050 loss: 1.5895 03/04 03:43:44 - mmengine - INFO - Epoch(train) [56][3600/5005] lr: 4.2178e-02 eta: 22:07:51 time: 0.3427 data_time: 0.0050 loss: 1.7142 03/04 03:44:19 - mmengine - INFO - Epoch(train) [56][3700/5005] lr: 4.2178e-02 eta: 22:07:14 time: 0.3530 data_time: 0.0048 loss: 1.7471 03/04 03:44:28 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 03:44:55 - mmengine - INFO - Epoch(train) [56][3800/5005] lr: 4.2178e-02 eta: 22:06:38 time: 0.3578 data_time: 0.0048 loss: 1.8259 03/04 03:45:30 - mmengine - INFO - Epoch(train) [56][3900/5005] lr: 4.2178e-02 eta: 22:06:01 time: 0.3422 data_time: 0.0050 loss: 1.8475 03/04 03:46:05 - mmengine - INFO - Epoch(train) [56][4000/5005] lr: 4.2178e-02 eta: 22:05:25 time: 0.3353 data_time: 0.0048 loss: 1.8056 03/04 03:46:41 - mmengine - INFO - Epoch(train) [56][4100/5005] lr: 4.2178e-02 eta: 22:04:49 time: 0.3544 data_time: 0.0053 loss: 1.7209 03/04 03:47:16 - mmengine - INFO - Epoch(train) [56][4200/5005] lr: 4.2178e-02 eta: 22:04:12 time: 0.3603 data_time: 0.0048 loss: 1.7737 03/04 03:47:52 - mmengine - INFO - Epoch(train) [56][4300/5005] lr: 4.2178e-02 eta: 22:03:36 time: 0.3513 data_time: 0.0049 loss: 1.8176 03/04 03:48:28 - mmengine - INFO - Epoch(train) [56][4400/5005] lr: 4.2178e-02 eta: 22:02:59 time: 0.3512 data_time: 0.0049 loss: 1.7889 03/04 03:49:03 - mmengine - INFO - Epoch(train) [56][4500/5005] lr: 4.2178e-02 eta: 22:02:23 time: 0.3548 data_time: 0.0050 loss: 1.6423 03/04 03:49:39 - mmengine - INFO - Epoch(train) [56][4600/5005] lr: 4.2178e-02 eta: 22:01:47 time: 0.3447 data_time: 0.0050 loss: 1.8420 03/04 03:50:14 - mmengine - INFO - Epoch(train) [56][4700/5005] lr: 4.2178e-02 eta: 22:01:10 time: 0.3445 data_time: 0.0049 loss: 1.6209 03/04 03:50:23 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 03:50:50 - mmengine - INFO - Epoch(train) [56][4800/5005] lr: 4.2178e-02 eta: 22:00:34 time: 0.3519 data_time: 0.0049 loss: 1.7832 03/04 03:51:27 - mmengine - INFO - Epoch(train) [56][4900/5005] lr: 4.2178e-02 eta: 21:59:59 time: 0.4243 data_time: 0.0055 loss: 1.8787 03/04 03:52:10 - mmengine - INFO - Epoch(train) [56][5000/5005] lr: 4.2178e-02 eta: 21:59:29 time: 0.4389 data_time: 0.0052 loss: 1.9330 03/04 03:52:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 03:52:16 - mmengine - INFO - Saving checkpoint at 56 epochs 03/04 03:52:32 - mmengine - INFO - Epoch(val) [56][100/196] eta: 0:00:14 time: 0.0484 data_time: 0.0003 03/04 03:52:49 - mmengine - INFO - Epoch(val) [56][196/196] accuracy/top1: 64.3340 accuracy/top5: 86.5060 03/04 03:53:33 - mmengine - INFO - Epoch(train) [57][ 100/5005] lr: 4.0631e-02 eta: 21:58:58 time: 0.3497 data_time: 0.0048 loss: 1.7209 03/04 03:54:09 - mmengine - INFO - Epoch(train) [57][ 200/5005] lr: 4.0631e-02 eta: 21:58:22 time: 0.3475 data_time: 0.0056 loss: 1.6408 03/04 03:54:44 - mmengine - INFO - Epoch(train) [57][ 300/5005] lr: 4.0631e-02 eta: 21:57:45 time: 0.3537 data_time: 0.0050 loss: 1.7117 03/04 03:55:20 - mmengine - INFO - Epoch(train) [57][ 400/5005] lr: 4.0631e-02 eta: 21:57:09 time: 0.3423 data_time: 0.0049 loss: 1.4356 03/04 03:55:56 - mmengine - INFO - Epoch(train) [57][ 500/5005] lr: 4.0631e-02 eta: 21:56:33 time: 0.3500 data_time: 0.0049 loss: 1.8452 03/04 03:56:31 - mmengine - INFO - Epoch(train) [57][ 600/5005] lr: 4.0631e-02 eta: 21:55:56 time: 0.3455 data_time: 0.0049 loss: 1.8059 03/04 03:57:07 - mmengine - INFO - Epoch(train) [57][ 700/5005] lr: 4.0631e-02 eta: 21:55:20 time: 0.3513 data_time: 0.0051 loss: 1.5510 03/04 03:57:14 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 03:57:42 - mmengine - INFO - Epoch(train) [57][ 800/5005] lr: 4.0631e-02 eta: 21:54:44 time: 0.3488 data_time: 0.0048 loss: 1.6400 03/04 03:58:18 - mmengine - INFO - Epoch(train) [57][ 900/5005] lr: 4.0631e-02 eta: 21:54:07 time: 0.3500 data_time: 0.0053 loss: 1.7905 03/04 03:58:54 - mmengine - INFO - Epoch(train) [57][1000/5005] lr: 4.0631e-02 eta: 21:53:31 time: 0.3615 data_time: 0.0049 loss: 1.6801 03/04 03:59:29 - mmengine - INFO - Epoch(train) [57][1100/5005] lr: 4.0631e-02 eta: 21:52:55 time: 0.3466 data_time: 0.0050 loss: 1.6426 03/04 04:00:04 - mmengine - INFO - Epoch(train) [57][1200/5005] lr: 4.0631e-02 eta: 21:52:18 time: 0.3514 data_time: 0.0050 loss: 1.6866 03/04 04:00:39 - mmengine - INFO - Epoch(train) [57][1300/5005] lr: 4.0631e-02 eta: 21:51:41 time: 0.3517 data_time: 0.0049 loss: 1.8932 03/04 04:01:15 - mmengine - INFO - Epoch(train) [57][1400/5005] lr: 4.0631e-02 eta: 21:51:05 time: 0.3490 data_time: 0.0052 loss: 1.7180 03/04 04:01:51 - mmengine - INFO - Epoch(train) [57][1500/5005] lr: 4.0631e-02 eta: 21:50:29 time: 0.3772 data_time: 0.0050 loss: 1.7669 03/04 04:02:26 - mmengine - INFO - Epoch(train) [57][1600/5005] lr: 4.0631e-02 eta: 21:49:52 time: 0.3613 data_time: 0.0049 loss: 1.8088 03/04 04:03:01 - mmengine - INFO - Epoch(train) [57][1700/5005] lr: 4.0631e-02 eta: 21:49:16 time: 0.3482 data_time: 0.0048 loss: 1.8316 03/04 04:03:08 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 04:03:37 - mmengine - INFO - Epoch(train) [57][1800/5005] lr: 4.0631e-02 eta: 21:48:39 time: 0.3487 data_time: 0.0047 loss: 1.6940 03/04 04:04:12 - mmengine - INFO - Epoch(train) [57][1900/5005] lr: 4.0631e-02 eta: 21:48:03 time: 0.3514 data_time: 0.0049 loss: 1.6034 03/04 04:04:47 - mmengine - INFO - Epoch(train) [57][2000/5005] lr: 4.0631e-02 eta: 21:47:26 time: 0.3478 data_time: 0.0053 loss: 1.5968 03/04 04:05:23 - mmengine - INFO - Epoch(train) [57][2100/5005] lr: 4.0631e-02 eta: 21:46:50 time: 0.3505 data_time: 0.0049 loss: 1.8213 03/04 04:05:58 - mmengine - INFO - Epoch(train) [57][2200/5005] lr: 4.0631e-02 eta: 21:46:14 time: 0.3590 data_time: 0.0048 loss: 1.9379 03/04 04:06:34 - mmengine - INFO - Epoch(train) [57][2300/5005] lr: 4.0631e-02 eta: 21:45:37 time: 0.3571 data_time: 0.0050 loss: 1.7924 03/04 04:07:09 - mmengine - INFO - Epoch(train) [57][2400/5005] lr: 4.0631e-02 eta: 21:45:01 time: 0.3459 data_time: 0.0051 loss: 1.6762 03/04 04:07:45 - mmengine - INFO - Epoch(train) [57][2500/5005] lr: 4.0631e-02 eta: 21:44:24 time: 0.3527 data_time: 0.0051 loss: 1.6506 03/04 04:08:20 - mmengine - INFO - Epoch(train) [57][2600/5005] lr: 4.0631e-02 eta: 21:43:48 time: 0.3670 data_time: 0.0047 loss: 1.9406 03/04 04:08:56 - mmengine - INFO - Epoch(train) [57][2700/5005] lr: 4.0631e-02 eta: 21:43:12 time: 0.3704 data_time: 0.0047 loss: 1.5787 03/04 04:09:03 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 04:09:31 - mmengine - INFO - Epoch(train) [57][2800/5005] lr: 4.0631e-02 eta: 21:42:35 time: 0.3540 data_time: 0.0047 loss: 1.8101 03/04 04:10:06 - mmengine - INFO - Epoch(train) [57][2900/5005] lr: 4.0631e-02 eta: 21:41:58 time: 0.3567 data_time: 0.0049 loss: 1.6847 03/04 04:10:42 - mmengine - INFO - Epoch(train) [57][3000/5005] lr: 4.0631e-02 eta: 21:41:22 time: 0.3572 data_time: 0.0050 loss: 1.9710 03/04 04:11:17 - mmengine - INFO - Epoch(train) [57][3100/5005] lr: 4.0631e-02 eta: 21:40:46 time: 0.3408 data_time: 0.0049 loss: 1.7025 03/04 04:11:52 - mmengine - INFO - Epoch(train) [57][3200/5005] lr: 4.0631e-02 eta: 21:40:09 time: 0.3466 data_time: 0.0049 loss: 1.7841 03/04 04:12:28 - mmengine - INFO - Epoch(train) [57][3300/5005] lr: 4.0631e-02 eta: 21:39:33 time: 0.3634 data_time: 0.0049 loss: 1.6810 03/04 04:13:04 - mmengine - INFO - Epoch(train) [57][3400/5005] lr: 4.0631e-02 eta: 21:38:57 time: 0.3717 data_time: 0.0049 loss: 1.7830 03/04 04:13:39 - mmengine - INFO - Epoch(train) [57][3500/5005] lr: 4.0631e-02 eta: 21:38:20 time: 0.3491 data_time: 0.0047 loss: 1.7022 03/04 04:14:14 - mmengine - INFO - Epoch(train) [57][3600/5005] lr: 4.0631e-02 eta: 21:37:44 time: 0.3476 data_time: 0.0051 loss: 1.6848 03/04 04:14:50 - mmengine - INFO - Epoch(train) [57][3700/5005] lr: 4.0631e-02 eta: 21:37:07 time: 0.3546 data_time: 0.0048 loss: 1.6628 03/04 04:14:57 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 04:15:26 - mmengine - INFO - Epoch(train) [57][3800/5005] lr: 4.0631e-02 eta: 21:36:31 time: 0.3571 data_time: 0.0050 loss: 1.8035 03/04 04:16:01 - mmengine - INFO - Epoch(train) [57][3900/5005] lr: 4.0631e-02 eta: 21:35:55 time: 0.3473 data_time: 0.0047 loss: 1.5572 03/04 04:16:36 - mmengine - INFO - Epoch(train) [57][4000/5005] lr: 4.0631e-02 eta: 21:35:18 time: 0.3500 data_time: 0.0054 loss: 1.6544 03/04 04:17:12 - mmengine - INFO - Epoch(train) [57][4100/5005] lr: 4.0631e-02 eta: 21:34:42 time: 0.3823 data_time: 0.0050 loss: 1.5647 03/04 04:17:47 - mmengine - INFO - Epoch(train) [57][4200/5005] lr: 4.0631e-02 eta: 21:34:05 time: 0.3657 data_time: 0.0051 loss: 1.7393 03/04 04:18:23 - mmengine - INFO - Epoch(train) [57][4300/5005] lr: 4.0631e-02 eta: 21:33:29 time: 0.3509 data_time: 0.0049 loss: 1.7826 03/04 04:18:58 - mmengine - INFO - Epoch(train) [57][4400/5005] lr: 4.0631e-02 eta: 21:32:53 time: 0.3465 data_time: 0.0048 loss: 1.6890 03/04 04:19:34 - mmengine - INFO - Epoch(train) [57][4500/5005] lr: 4.0631e-02 eta: 21:32:16 time: 0.3594 data_time: 0.0049 loss: 1.9226 03/04 04:20:09 - mmengine - INFO - Epoch(train) [57][4600/5005] lr: 4.0631e-02 eta: 21:31:40 time: 0.3614 data_time: 0.0049 loss: 1.8610 03/04 04:20:44 - mmengine - INFO - Epoch(train) [57][4700/5005] lr: 4.0631e-02 eta: 21:31:03 time: 0.3463 data_time: 0.0049 loss: 1.6824 03/04 04:20:51 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 04:21:20 - mmengine - INFO - Epoch(train) [57][4800/5005] lr: 4.0631e-02 eta: 21:30:27 time: 0.3455 data_time: 0.0051 loss: 1.8499 03/04 04:21:57 - mmengine - INFO - Epoch(train) [57][4900/5005] lr: 4.0631e-02 eta: 21:29:52 time: 0.4286 data_time: 0.0053 loss: 1.7459 03/04 04:22:40 - mmengine - INFO - Epoch(train) [57][5000/5005] lr: 4.0631e-02 eta: 21:29:21 time: 0.4228 data_time: 0.0052 loss: 1.6752 03/04 04:22:42 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 04:22:45 - mmengine - INFO - Saving checkpoint at 57 epochs 03/04 04:23:02 - mmengine - INFO - Epoch(val) [57][100/196] eta: 0:00:15 time: 0.0474 data_time: 0.0003 03/04 04:23:18 - mmengine - INFO - Epoch(val) [57][196/196] accuracy/top1: 63.6640 accuracy/top5: 85.4780 03/04 04:24:03 - mmengine - INFO - Epoch(train) [58][ 100/5005] lr: 3.9093e-02 eta: 21:28:50 time: 0.3379 data_time: 0.0051 loss: 1.6666 03/04 04:24:40 - mmengine - INFO - Epoch(train) [58][ 200/5005] lr: 3.9093e-02 eta: 21:28:14 time: 0.3453 data_time: 0.0049 loss: 1.3468 03/04 04:25:16 - mmengine - INFO - Epoch(train) [58][ 300/5005] lr: 3.9093e-02 eta: 21:27:38 time: 0.3596 data_time: 0.0054 loss: 1.8056 03/04 04:25:51 - mmengine - INFO - Epoch(train) [58][ 400/5005] lr: 3.9093e-02 eta: 21:27:02 time: 0.3454 data_time: 0.0051 loss: 1.7075 03/04 04:26:27 - mmengine - INFO - Epoch(train) [58][ 500/5005] lr: 3.9093e-02 eta: 21:26:26 time: 0.3563 data_time: 0.0054 loss: 1.5502 03/04 04:27:03 - mmengine - INFO - Epoch(train) [58][ 600/5005] lr: 3.9093e-02 eta: 21:25:49 time: 0.3553 data_time: 0.0049 loss: 1.8837 03/04 04:27:38 - mmengine - INFO - Epoch(train) [58][ 700/5005] lr: 3.9093e-02 eta: 21:25:13 time: 0.3521 data_time: 0.0054 loss: 1.7148 03/04 04:27:44 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 04:28:14 - mmengine - INFO - Epoch(train) [58][ 800/5005] lr: 3.9093e-02 eta: 21:24:37 time: 0.3439 data_time: 0.0047 loss: 1.7597 03/04 04:28:49 - mmengine - INFO - Epoch(train) [58][ 900/5005] lr: 3.9093e-02 eta: 21:24:00 time: 0.3459 data_time: 0.0049 loss: 1.7296 03/04 04:29:25 - mmengine - INFO - Epoch(train) [58][1000/5005] lr: 3.9093e-02 eta: 21:23:24 time: 0.3607 data_time: 0.0050 loss: 1.7032 03/04 04:30:00 - mmengine - INFO - Epoch(train) [58][1100/5005] lr: 3.9093e-02 eta: 21:22:48 time: 0.3506 data_time: 0.0050 loss: 1.7251 03/04 04:30:36 - mmengine - INFO - Epoch(train) [58][1200/5005] lr: 3.9093e-02 eta: 21:22:11 time: 0.3564 data_time: 0.0052 loss: 1.9956 03/04 04:31:11 - mmengine - INFO - Epoch(train) [58][1300/5005] lr: 3.9093e-02 eta: 21:21:35 time: 0.3610 data_time: 0.0050 loss: 1.9014 03/04 04:31:47 - mmengine - INFO - Epoch(train) [58][1400/5005] lr: 3.9093e-02 eta: 21:20:58 time: 0.3574 data_time: 0.0049 loss: 1.8591 03/04 04:32:22 - mmengine - INFO - Epoch(train) [58][1500/5005] lr: 3.9093e-02 eta: 21:20:22 time: 0.3827 data_time: 0.0048 loss: 1.6774 03/04 04:32:57 - mmengine - INFO - Epoch(train) [58][1600/5005] lr: 3.9093e-02 eta: 21:19:46 time: 0.3523 data_time: 0.0048 loss: 1.8159 03/04 04:33:33 - mmengine - INFO - Epoch(train) [58][1700/5005] lr: 3.9093e-02 eta: 21:19:09 time: 0.3390 data_time: 0.0047 loss: 1.7640 03/04 04:33:39 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 04:34:09 - mmengine - INFO - Epoch(train) [58][1800/5005] lr: 3.9093e-02 eta: 21:18:33 time: 0.3579 data_time: 0.0050 loss: 1.6820 03/04 04:34:44 - mmengine - INFO - Epoch(train) [58][1900/5005] lr: 3.9093e-02 eta: 21:17:57 time: 0.3573 data_time: 0.0051 loss: 1.6800 03/04 04:35:20 - mmengine - INFO - Epoch(train) [58][2000/5005] lr: 3.9093e-02 eta: 21:17:21 time: 0.3627 data_time: 0.0049 loss: 1.5839 03/04 04:35:55 - mmengine - INFO - Epoch(train) [58][2100/5005] lr: 3.9093e-02 eta: 21:16:44 time: 0.3463 data_time: 0.0049 loss: 1.5931 03/04 04:36:31 - mmengine - INFO - Epoch(train) [58][2200/5005] lr: 3.9093e-02 eta: 21:16:08 time: 0.3523 data_time: 0.0048 loss: 1.8411 03/04 04:37:06 - mmengine - INFO - Epoch(train) [58][2300/5005] lr: 3.9093e-02 eta: 21:15:31 time: 0.3649 data_time: 0.0048 loss: 1.6958 03/04 04:37:42 - mmengine - INFO - Epoch(train) [58][2400/5005] lr: 3.9093e-02 eta: 21:14:55 time: 0.3583 data_time: 0.0049 loss: 1.6446 03/04 04:38:18 - mmengine - INFO - Epoch(train) [58][2500/5005] lr: 3.9093e-02 eta: 21:14:19 time: 0.3487 data_time: 0.0049 loss: 1.8328 03/04 04:38:53 - mmengine - INFO - Epoch(train) [58][2600/5005] lr: 3.9093e-02 eta: 21:13:42 time: 0.3465 data_time: 0.0052 loss: 1.7146 03/04 04:39:28 - mmengine - INFO - Epoch(train) [58][2700/5005] lr: 3.9093e-02 eta: 21:13:06 time: 0.3600 data_time: 0.0049 loss: 1.6518 03/04 04:39:33 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 04:40:04 - mmengine - INFO - Epoch(train) [58][2800/5005] lr: 3.9093e-02 eta: 21:12:29 time: 0.3682 data_time: 0.0048 loss: 1.8913 03/04 04:40:39 - mmengine - INFO - Epoch(train) [58][2900/5005] lr: 3.9093e-02 eta: 21:11:53 time: 0.3511 data_time: 0.0048 loss: 1.7296 03/04 04:41:14 - mmengine - INFO - Epoch(train) [58][3000/5005] lr: 3.9093e-02 eta: 21:11:17 time: 0.3443 data_time: 0.0049 loss: 1.5695 03/04 04:41:50 - mmengine - INFO - Epoch(train) [58][3100/5005] lr: 3.9093e-02 eta: 21:10:40 time: 0.3639 data_time: 0.0049 loss: 1.7635 03/04 04:42:25 - mmengine - INFO - Epoch(train) [58][3200/5005] lr: 3.9093e-02 eta: 21:10:04 time: 0.3539 data_time: 0.0050 loss: 1.8878 03/04 04:43:00 - mmengine - INFO - Epoch(train) [58][3300/5005] lr: 3.9093e-02 eta: 21:09:27 time: 0.3451 data_time: 0.0049 loss: 1.7448 03/04 04:43:36 - mmengine - INFO - Epoch(train) [58][3400/5005] lr: 3.9093e-02 eta: 21:08:51 time: 0.3601 data_time: 0.0049 loss: 1.7113 03/04 04:44:11 - mmengine - INFO - Epoch(train) [58][3500/5005] lr: 3.9093e-02 eta: 21:08:15 time: 0.3437 data_time: 0.0049 loss: 1.9509 03/04 04:44:46 - mmengine - INFO - Epoch(train) [58][3600/5005] lr: 3.9093e-02 eta: 21:07:38 time: 0.3760 data_time: 0.0052 loss: 1.6954 03/04 04:45:22 - mmengine - INFO - Epoch(train) [58][3700/5005] lr: 3.9093e-02 eta: 21:07:01 time: 0.3412 data_time: 0.0051 loss: 1.5825 03/04 04:45:27 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 04:45:57 - mmengine - INFO - Epoch(train) [58][3800/5005] lr: 3.9093e-02 eta: 21:06:25 time: 0.3627 data_time: 0.0051 loss: 1.6169 03/04 04:46:32 - mmengine - INFO - Epoch(train) [58][3900/5005] lr: 3.9093e-02 eta: 21:05:48 time: 0.3438 data_time: 0.0052 loss: 1.7982 03/04 04:47:08 - mmengine - INFO - Epoch(train) [58][4000/5005] lr: 3.9093e-02 eta: 21:05:12 time: 0.3642 data_time: 0.0051 loss: 1.8691 03/04 04:47:44 - mmengine - INFO - Epoch(train) [58][4100/5005] lr: 3.9093e-02 eta: 21:04:36 time: 0.3463 data_time: 0.0047 loss: 1.6470 03/04 04:48:19 - mmengine - INFO - Epoch(train) [58][4200/5005] lr: 3.9093e-02 eta: 21:04:00 time: 0.3531 data_time: 0.0051 loss: 1.6028 03/04 04:48:55 - mmengine - INFO - Epoch(train) [58][4300/5005] lr: 3.9093e-02 eta: 21:03:23 time: 0.3613 data_time: 0.0050 loss: 1.8404 03/04 04:49:30 - mmengine - INFO - Epoch(train) [58][4400/5005] lr: 3.9093e-02 eta: 21:02:47 time: 0.3777 data_time: 0.0048 loss: 1.8157 03/04 04:50:06 - mmengine - INFO - Epoch(train) [58][4500/5005] lr: 3.9093e-02 eta: 21:02:11 time: 0.3497 data_time: 0.0049 loss: 1.7001 03/04 04:50:41 - mmengine - INFO - Epoch(train) [58][4600/5005] lr: 3.9093e-02 eta: 21:01:34 time: 0.3614 data_time: 0.0049 loss: 1.9165 03/04 04:51:17 - mmengine - INFO - Epoch(train) [58][4700/5005] lr: 3.9093e-02 eta: 21:00:58 time: 0.3459 data_time: 0.0050 loss: 1.6896 03/04 04:51:22 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 04:51:52 - mmengine - INFO - Epoch(train) [58][4800/5005] lr: 3.9093e-02 eta: 21:00:22 time: 0.3470 data_time: 0.0051 loss: 1.8836 03/04 04:52:29 - mmengine - INFO - Epoch(train) [58][4900/5005] lr: 3.9093e-02 eta: 20:59:47 time: 0.4470 data_time: 0.0057 loss: 2.0251 03/04 04:53:13 - mmengine - INFO - Epoch(train) [58][5000/5005] lr: 3.9093e-02 eta: 20:59:16 time: 0.3687 data_time: 0.0051 loss: 1.7737 03/04 04:53:15 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 04:53:18 - mmengine - INFO - Saving checkpoint at 58 epochs 03/04 04:53:35 - mmengine - INFO - Epoch(val) [58][100/196] eta: 0:00:15 time: 0.0432 data_time: 0.0004 03/04 04:53:51 - mmengine - INFO - Epoch(val) [58][196/196] accuracy/top1: 65.2780 accuracy/top5: 87.0360 03/04 04:54:37 - mmengine - INFO - Epoch(train) [59][ 100/5005] lr: 3.7566e-02 eta: 20:58:45 time: 0.3556 data_time: 0.0057 loss: 1.6068 03/04 04:55:13 - mmengine - INFO - Epoch(train) [59][ 200/5005] lr: 3.7566e-02 eta: 20:58:09 time: 0.3918 data_time: 0.0050 loss: 1.6178 03/04 04:55:48 - mmengine - INFO - Epoch(train) [59][ 300/5005] lr: 3.7566e-02 eta: 20:57:33 time: 0.3514 data_time: 0.0048 loss: 1.5694 03/04 04:56:25 - mmengine - INFO - Epoch(train) [59][ 400/5005] lr: 3.7566e-02 eta: 20:56:57 time: 0.3497 data_time: 0.0053 loss: 1.7992 03/04 04:57:00 - mmengine - INFO - Epoch(train) [59][ 500/5005] lr: 3.7566e-02 eta: 20:56:20 time: 0.3533 data_time: 0.0051 loss: 1.7213 03/04 04:57:36 - mmengine - INFO - Epoch(train) [59][ 600/5005] lr: 3.7566e-02 eta: 20:55:44 time: 0.3521 data_time: 0.0052 loss: 1.6384 03/04 04:58:12 - mmengine - INFO - Epoch(train) [59][ 700/5005] lr: 3.7566e-02 eta: 20:55:08 time: 0.3701 data_time: 0.0052 loss: 1.6311 03/04 04:58:16 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 04:58:47 - mmengine - INFO - Epoch(train) [59][ 800/5005] lr: 3.7566e-02 eta: 20:54:32 time: 0.3505 data_time: 0.0049 loss: 1.6243 03/04 04:59:23 - mmengine - INFO - Epoch(train) [59][ 900/5005] lr: 3.7566e-02 eta: 20:53:56 time: 0.3473 data_time: 0.0049 loss: 1.7192 03/04 04:59:58 - mmengine - INFO - Epoch(train) [59][1000/5005] lr: 3.7566e-02 eta: 20:53:19 time: 0.3513 data_time: 0.0049 loss: 1.6353 03/04 05:00:34 - mmengine - INFO - Epoch(train) [59][1100/5005] lr: 3.7566e-02 eta: 20:52:43 time: 0.3446 data_time: 0.0055 loss: 1.8766 03/04 05:01:10 - mmengine - INFO - Epoch(train) [59][1200/5005] lr: 3.7566e-02 eta: 20:52:07 time: 0.3553 data_time: 0.0048 loss: 1.6928 03/04 05:01:45 - mmengine - INFO - Epoch(train) [59][1300/5005] lr: 3.7566e-02 eta: 20:51:30 time: 0.3813 data_time: 0.0051 loss: 1.7584 03/04 05:02:21 - mmengine - INFO - Epoch(train) [59][1400/5005] lr: 3.7566e-02 eta: 20:50:54 time: 0.3456 data_time: 0.0053 loss: 1.7398 03/04 05:02:56 - mmengine - INFO - Epoch(train) [59][1500/5005] lr: 3.7566e-02 eta: 20:50:18 time: 0.3502 data_time: 0.0049 loss: 1.6562 03/04 05:03:32 - mmengine - INFO - Epoch(train) [59][1600/5005] lr: 3.7566e-02 eta: 20:49:41 time: 0.3520 data_time: 0.0049 loss: 1.6670 03/04 05:04:07 - mmengine - INFO - Epoch(train) [59][1700/5005] lr: 3.7566e-02 eta: 20:49:05 time: 0.3495 data_time: 0.0050 loss: 1.7018 03/04 05:04:11 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 05:04:43 - mmengine - INFO - Epoch(train) [59][1800/5005] lr: 3.7566e-02 eta: 20:48:29 time: 0.3496 data_time: 0.0047 loss: 1.7949 03/04 05:05:18 - mmengine - INFO - Epoch(train) [59][1900/5005] lr: 3.7566e-02 eta: 20:47:52 time: 0.3603 data_time: 0.0049 loss: 1.7984 03/04 05:05:54 - mmengine - INFO - Epoch(train) [59][2000/5005] lr: 3.7566e-02 eta: 20:47:16 time: 0.3471 data_time: 0.0050 loss: 1.8595 03/04 05:06:29 - mmengine - INFO - Epoch(train) [59][2100/5005] lr: 3.7566e-02 eta: 20:46:40 time: 0.3553 data_time: 0.0048 loss: 1.7625 03/04 05:07:05 - mmengine - INFO - Epoch(train) [59][2200/5005] lr: 3.7566e-02 eta: 20:46:04 time: 0.3503 data_time: 0.0048 loss: 1.6610 03/04 05:07:41 - mmengine - INFO - Epoch(train) [59][2300/5005] lr: 3.7566e-02 eta: 20:45:28 time: 0.3490 data_time: 0.0048 loss: 1.8711 03/04 05:08:16 - mmengine - INFO - Epoch(train) [59][2400/5005] lr: 3.7566e-02 eta: 20:44:51 time: 0.3370 data_time: 0.0049 loss: 1.7741 03/04 05:08:52 - mmengine - INFO - Epoch(train) [59][2500/5005] lr: 3.7566e-02 eta: 20:44:15 time: 0.3667 data_time: 0.0049 loss: 1.6806 03/04 05:09:27 - mmengine - INFO - Epoch(train) [59][2600/5005] lr: 3.7566e-02 eta: 20:43:38 time: 0.3548 data_time: 0.0048 loss: 1.6920 03/04 05:10:02 - mmengine - INFO - Epoch(train) [59][2700/5005] lr: 3.7566e-02 eta: 20:43:02 time: 0.3501 data_time: 0.0051 loss: 1.7148 03/04 05:10:06 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 05:10:38 - mmengine - INFO - Epoch(train) [59][2800/5005] lr: 3.7566e-02 eta: 20:42:26 time: 0.3503 data_time: 0.0052 loss: 1.7776 03/04 05:11:13 - mmengine - INFO - Epoch(train) [59][2900/5005] lr: 3.7566e-02 eta: 20:41:49 time: 0.3504 data_time: 0.0053 loss: 1.8481 03/04 05:11:49 - mmengine - INFO - Epoch(train) [59][3000/5005] lr: 3.7566e-02 eta: 20:41:13 time: 0.3536 data_time: 0.0049 loss: 1.8469 03/04 05:12:24 - mmengine - INFO - Epoch(train) [59][3100/5005] lr: 3.7566e-02 eta: 20:40:36 time: 0.3411 data_time: 0.0051 loss: 1.6806 03/04 05:12:59 - mmengine - INFO - Epoch(train) [59][3200/5005] lr: 3.7566e-02 eta: 20:40:00 time: 0.3476 data_time: 0.0052 loss: 1.7297 03/04 05:13:35 - mmengine - INFO - Epoch(train) [59][3300/5005] lr: 3.7566e-02 eta: 20:39:24 time: 0.3501 data_time: 0.0049 loss: 1.7264 03/04 05:14:11 - mmengine - INFO - Epoch(train) [59][3400/5005] lr: 3.7566e-02 eta: 20:38:47 time: 0.3585 data_time: 0.0053 loss: 1.6624 03/04 05:14:46 - mmengine - INFO - Epoch(train) [59][3500/5005] lr: 3.7566e-02 eta: 20:38:11 time: 0.3535 data_time: 0.0049 loss: 1.8455 03/04 05:15:22 - mmengine - INFO - Epoch(train) [59][3600/5005] lr: 3.7566e-02 eta: 20:37:35 time: 0.3609 data_time: 0.0049 loss: 1.5014 03/04 05:15:57 - mmengine - INFO - Epoch(train) [59][3700/5005] lr: 3.7566e-02 eta: 20:36:58 time: 0.3525 data_time: 0.0052 loss: 1.8551 03/04 05:16:00 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 05:16:32 - mmengine - INFO - Epoch(train) [59][3800/5005] lr: 3.7566e-02 eta: 20:36:22 time: 0.3443 data_time: 0.0048 loss: 1.7707 03/04 05:17:08 - mmengine - INFO - Epoch(train) [59][3900/5005] lr: 3.7566e-02 eta: 20:35:46 time: 0.3462 data_time: 0.0050 loss: 1.7287 03/04 05:17:43 - mmengine - INFO - Epoch(train) [59][4000/5005] lr: 3.7566e-02 eta: 20:35:09 time: 0.3490 data_time: 0.0048 loss: 1.8910 03/04 05:18:19 - mmengine - INFO - Epoch(train) [59][4100/5005] lr: 3.7566e-02 eta: 20:34:33 time: 0.3496 data_time: 0.0048 loss: 1.6144 03/04 05:18:54 - mmengine - INFO - Epoch(train) [59][4200/5005] lr: 3.7566e-02 eta: 20:33:57 time: 0.3582 data_time: 0.0050 loss: 1.7580 03/04 05:19:30 - mmengine - INFO - Epoch(train) [59][4300/5005] lr: 3.7566e-02 eta: 20:33:20 time: 0.3461 data_time: 0.0051 loss: 1.6338 03/04 05:20:05 - mmengine - INFO - Epoch(train) [59][4400/5005] lr: 3.7566e-02 eta: 20:32:44 time: 0.3463 data_time: 0.0049 loss: 1.5715 03/04 05:20:41 - mmengine - INFO - Epoch(train) [59][4500/5005] lr: 3.7566e-02 eta: 20:32:08 time: 0.3665 data_time: 0.0049 loss: 1.7754 03/04 05:21:16 - mmengine - INFO - Epoch(train) [59][4600/5005] lr: 3.7566e-02 eta: 20:31:31 time: 0.3571 data_time: 0.0052 loss: 1.7433 03/04 05:21:52 - mmengine - INFO - Epoch(train) [59][4700/5005] lr: 3.7566e-02 eta: 20:30:55 time: 0.3498 data_time: 0.0051 loss: 1.8568 03/04 05:21:55 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 05:22:27 - mmengine - INFO - Epoch(train) [59][4800/5005] lr: 3.7566e-02 eta: 20:30:19 time: 0.3472 data_time: 0.0049 loss: 1.6542 03/04 05:23:05 - mmengine - INFO - Epoch(train) [59][4900/5005] lr: 3.7566e-02 eta: 20:29:44 time: 0.4569 data_time: 0.0063 loss: 1.8612 03/04 05:23:46 - mmengine - INFO - Epoch(train) [59][5000/5005] lr: 3.7566e-02 eta: 20:29:12 time: 0.4095 data_time: 0.0051 loss: 1.6606 03/04 05:23:48 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 05:23:51 - mmengine - INFO - Saving checkpoint at 59 epochs 03/04 05:24:09 - mmengine - INFO - Epoch(val) [59][100/196] eta: 0:00:15 time: 0.0550 data_time: 0.0004 03/04 05:24:26 - mmengine - INFO - Epoch(val) [59][196/196] accuracy/top1: 65.2400 accuracy/top5: 86.9040 03/04 05:25:10 - mmengine - INFO - Epoch(train) [60][ 100/5005] lr: 3.6050e-02 eta: 20:28:40 time: 0.3460 data_time: 0.0050 loss: 1.4558 03/04 05:25:46 - mmengine - INFO - Epoch(train) [60][ 200/5005] lr: 3.6050e-02 eta: 20:28:03 time: 0.3418 data_time: 0.0051 loss: 1.7611 03/04 05:26:22 - mmengine - INFO - Epoch(train) [60][ 300/5005] lr: 3.6050e-02 eta: 20:27:27 time: 0.3546 data_time: 0.0052 loss: 1.5969 03/04 05:26:57 - mmengine - INFO - Epoch(train) [60][ 400/5005] lr: 3.6050e-02 eta: 20:26:51 time: 0.3582 data_time: 0.0048 loss: 1.7464 03/04 05:27:33 - mmengine - INFO - Epoch(train) [60][ 500/5005] lr: 3.6050e-02 eta: 20:26:15 time: 0.3541 data_time: 0.0053 loss: 1.7722 03/04 05:28:09 - mmengine - INFO - Epoch(train) [60][ 600/5005] lr: 3.6050e-02 eta: 20:25:39 time: 0.3659 data_time: 0.0051 loss: 1.7424 03/04 05:28:45 - mmengine - INFO - Epoch(train) [60][ 700/5005] lr: 3.6050e-02 eta: 20:25:03 time: 0.3509 data_time: 0.0050 loss: 1.6339 03/04 05:28:46 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 05:29:20 - mmengine - INFO - Epoch(train) [60][ 800/5005] lr: 3.6050e-02 eta: 20:24:26 time: 0.3484 data_time: 0.0053 loss: 1.7946 03/04 05:29:56 - mmengine - INFO - Epoch(train) [60][ 900/5005] lr: 3.6050e-02 eta: 20:23:50 time: 0.3512 data_time: 0.0052 loss: 1.5794 03/04 05:30:31 - mmengine - INFO - Epoch(train) [60][1000/5005] lr: 3.6050e-02 eta: 20:23:14 time: 0.3855 data_time: 0.0049 loss: 1.9035 03/04 05:31:07 - mmengine - INFO - Epoch(train) [60][1100/5005] lr: 3.6050e-02 eta: 20:22:38 time: 0.3697 data_time: 0.0051 loss: 2.0076 03/04 05:31:43 - mmengine - INFO - Epoch(train) [60][1200/5005] lr: 3.6050e-02 eta: 20:22:01 time: 0.3535 data_time: 0.0050 loss: 1.7002 03/04 05:32:18 - mmengine - INFO - Epoch(train) [60][1300/5005] lr: 3.6050e-02 eta: 20:21:25 time: 0.3434 data_time: 0.0052 loss: 1.9249 03/04 05:32:55 - mmengine - INFO - Epoch(train) [60][1400/5005] lr: 3.6050e-02 eta: 20:20:49 time: 0.3579 data_time: 0.0050 loss: 1.6882 03/04 05:33:30 - mmengine - INFO - Epoch(train) [60][1500/5005] lr: 3.6050e-02 eta: 20:20:13 time: 0.3667 data_time: 0.0050 loss: 1.4857 03/04 05:34:05 - mmengine - INFO - Epoch(train) [60][1600/5005] lr: 3.6050e-02 eta: 20:19:37 time: 0.3418 data_time: 0.0054 loss: 1.5707 03/04 05:34:41 - mmengine - INFO - Epoch(train) [60][1700/5005] lr: 3.6050e-02 eta: 20:19:00 time: 0.3593 data_time: 0.0052 loss: 1.7852 03/04 05:34:43 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 05:35:16 - mmengine - INFO - Epoch(train) [60][1800/5005] lr: 3.6050e-02 eta: 20:18:24 time: 0.3434 data_time: 0.0050 loss: 1.6548 03/04 05:35:52 - mmengine - INFO - Epoch(train) [60][1900/5005] lr: 3.6050e-02 eta: 20:17:48 time: 0.3494 data_time: 0.0048 loss: 1.7042 03/04 05:36:27 - mmengine - INFO - Epoch(train) [60][2000/5005] lr: 3.6050e-02 eta: 20:17:11 time: 0.3604 data_time: 0.0051 loss: 1.5664 03/04 05:37:03 - mmengine - INFO - Epoch(train) [60][2100/5005] lr: 3.6050e-02 eta: 20:16:35 time: 0.3672 data_time: 0.0050 loss: 1.4757 03/04 05:37:38 - mmengine - INFO - Epoch(train) [60][2200/5005] lr: 3.6050e-02 eta: 20:15:59 time: 0.3452 data_time: 0.0050 loss: 1.7804 03/04 05:38:14 - mmengine - INFO - Epoch(train) [60][2300/5005] lr: 3.6050e-02 eta: 20:15:22 time: 0.3801 data_time: 0.0051 loss: 1.6177 03/04 05:38:49 - mmengine - INFO - Epoch(train) [60][2400/5005] lr: 3.6050e-02 eta: 20:14:46 time: 0.3407 data_time: 0.0051 loss: 1.6945 03/04 05:39:25 - mmengine - INFO - Epoch(train) [60][2500/5005] lr: 3.6050e-02 eta: 20:14:10 time: 0.3465 data_time: 0.0050 loss: 1.6843 03/04 05:40:00 - mmengine - INFO - Epoch(train) [60][2600/5005] lr: 3.6050e-02 eta: 20:13:33 time: 0.3431 data_time: 0.0048 loss: 1.7037 03/04 05:40:36 - mmengine - INFO - Epoch(train) [60][2700/5005] lr: 3.6050e-02 eta: 20:12:57 time: 0.3447 data_time: 0.0051 loss: 1.7086 03/04 05:40:37 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 05:41:11 - mmengine - INFO - Epoch(train) [60][2800/5005] lr: 3.6050e-02 eta: 20:12:20 time: 0.3424 data_time: 0.0050 loss: 1.5470 03/04 05:41:46 - mmengine - INFO - Epoch(train) [60][2900/5005] lr: 3.6050e-02 eta: 20:11:44 time: 0.3380 data_time: 0.0051 loss: 1.6728 03/04 05:42:22 - mmengine - INFO - Epoch(train) [60][3000/5005] lr: 3.6050e-02 eta: 20:11:08 time: 0.3532 data_time: 0.0049 loss: 1.7691 03/04 05:42:57 - mmengine - INFO - Epoch(train) [60][3100/5005] lr: 3.6050e-02 eta: 20:10:31 time: 0.3821 data_time: 0.0050 loss: 1.6990 03/04 05:43:33 - mmengine - INFO - Epoch(train) [60][3200/5005] lr: 3.6050e-02 eta: 20:09:55 time: 0.3464 data_time: 0.0049 loss: 1.6797 03/04 05:44:08 - mmengine - INFO - Epoch(train) [60][3300/5005] lr: 3.6050e-02 eta: 20:09:19 time: 0.3646 data_time: 0.0051 loss: 1.5434 03/04 05:44:43 - mmengine - INFO - Epoch(train) [60][3400/5005] lr: 3.6050e-02 eta: 20:08:42 time: 0.3528 data_time: 0.0051 loss: 1.7637 03/04 05:45:19 - mmengine - INFO - Epoch(train) [60][3500/5005] lr: 3.6050e-02 eta: 20:08:06 time: 0.3457 data_time: 0.0055 loss: 1.8953 03/04 05:45:55 - mmengine - INFO - Epoch(train) [60][3600/5005] lr: 3.6050e-02 eta: 20:07:30 time: 0.3570 data_time: 0.0048 loss: 1.6318 03/04 05:46:30 - mmengine - INFO - Epoch(train) [60][3700/5005] lr: 3.6050e-02 eta: 20:06:53 time: 0.3582 data_time: 0.0049 loss: 1.7637 03/04 05:46:32 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 05:47:06 - mmengine - INFO - Epoch(train) [60][3800/5005] lr: 3.6050e-02 eta: 20:06:17 time: 0.3540 data_time: 0.0051 loss: 1.6150 03/04 05:47:41 - mmengine - INFO - Epoch(train) [60][3900/5005] lr: 3.6050e-02 eta: 20:05:41 time: 0.3622 data_time: 0.0052 loss: 1.7698 03/04 05:48:16 - mmengine - INFO - Epoch(train) [60][4000/5005] lr: 3.6050e-02 eta: 20:05:04 time: 0.3547 data_time: 0.0048 loss: 1.9265 03/04 05:48:52 - mmengine - INFO - Epoch(train) [60][4100/5005] lr: 3.6050e-02 eta: 20:04:28 time: 0.3751 data_time: 0.0050 loss: 1.7807 03/04 05:49:28 - mmengine - INFO - Epoch(train) [60][4200/5005] lr: 3.6050e-02 eta: 20:03:52 time: 0.3513 data_time: 0.0050 loss: 1.5756 03/04 05:50:03 - mmengine - INFO - Epoch(train) [60][4300/5005] lr: 3.6050e-02 eta: 20:03:16 time: 0.3502 data_time: 0.0052 loss: 1.5659 03/04 05:50:39 - mmengine - INFO - Epoch(train) [60][4400/5005] lr: 3.6050e-02 eta: 20:02:39 time: 0.3601 data_time: 0.0053 loss: 1.9296 03/04 05:51:14 - mmengine - INFO - Epoch(train) [60][4500/5005] lr: 3.6050e-02 eta: 20:02:03 time: 0.3619 data_time: 0.0050 loss: 1.7098 03/04 05:51:50 - mmengine - INFO - Epoch(train) [60][4600/5005] lr: 3.6050e-02 eta: 20:01:27 time: 0.3512 data_time: 0.0048 loss: 1.7424 03/04 05:52:25 - mmengine - INFO - Epoch(train) [60][4700/5005] lr: 3.6050e-02 eta: 20:00:50 time: 0.3544 data_time: 0.0050 loss: 1.8199 03/04 05:52:26 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 05:53:01 - mmengine - INFO - Epoch(train) [60][4800/5005] lr: 3.6050e-02 eta: 20:00:14 time: 0.3451 data_time: 0.0049 loss: 1.4698 03/04 05:53:38 - mmengine - INFO - Epoch(train) [60][4900/5005] lr: 3.6050e-02 eta: 19:59:39 time: 0.3833 data_time: 0.0057 loss: 1.5430 03/04 05:54:20 - mmengine - INFO - Epoch(train) [60][5000/5005] lr: 3.6050e-02 eta: 19:59:07 time: 0.3986 data_time: 0.0053 loss: 1.7086 03/04 05:54:23 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 05:54:26 - mmengine - INFO - Saving checkpoint at 60 epochs 03/04 05:54:42 - mmengine - INFO - Epoch(val) [60][100/196] eta: 0:00:14 time: 0.0438 data_time: 0.0003 03/04 05:54:59 - mmengine - INFO - Epoch(val) [60][196/196] accuracy/top1: 65.4860 accuracy/top5: 87.2540 03/04 05:55:44 - mmengine - INFO - Epoch(train) [61][ 100/5005] lr: 3.4549e-02 eta: 19:58:36 time: 0.3539 data_time: 0.0053 loss: 1.6080 03/04 05:56:20 - mmengine - INFO - Epoch(train) [61][ 200/5005] lr: 3.4549e-02 eta: 19:58:00 time: 0.4070 data_time: 0.0051 loss: 1.5962 03/04 05:56:55 - mmengine - INFO - Epoch(train) [61][ 300/5005] lr: 3.4549e-02 eta: 19:57:23 time: 0.3479 data_time: 0.0055 loss: 1.7656 03/04 05:57:31 - mmengine - INFO - Epoch(train) [61][ 400/5005] lr: 3.4549e-02 eta: 19:56:47 time: 0.3505 data_time: 0.0051 loss: 1.7065 03/04 05:58:06 - mmengine - INFO - Epoch(train) [61][ 500/5005] lr: 3.4549e-02 eta: 19:56:11 time: 0.3977 data_time: 0.0050 loss: 1.6033 03/04 05:58:42 - mmengine - INFO - Epoch(train) [61][ 600/5005] lr: 3.4549e-02 eta: 19:55:35 time: 0.3550 data_time: 0.0050 loss: 1.7918 03/04 05:59:18 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 05:59:18 - mmengine - INFO - Epoch(train) [61][ 700/5005] lr: 3.4549e-02 eta: 19:54:59 time: 0.3480 data_time: 0.0051 loss: 1.5316 03/04 05:59:53 - mmengine - INFO - Epoch(train) [61][ 800/5005] lr: 3.4549e-02 eta: 19:54:23 time: 0.3655 data_time: 0.0049 loss: 1.4590 03/04 06:00:29 - mmengine - INFO - Epoch(train) [61][ 900/5005] lr: 3.4549e-02 eta: 19:53:47 time: 0.3478 data_time: 0.0050 loss: 1.5435 03/04 06:01:05 - mmengine - INFO - Epoch(train) [61][1000/5005] lr: 3.4549e-02 eta: 19:53:10 time: 0.3808 data_time: 0.0051 loss: 1.6854 03/04 06:01:40 - mmengine - INFO - Epoch(train) [61][1100/5005] lr: 3.4549e-02 eta: 19:52:34 time: 0.3623 data_time: 0.0050 loss: 1.6634 03/04 06:02:16 - mmengine - INFO - Epoch(train) [61][1200/5005] lr: 3.4549e-02 eta: 19:51:58 time: 0.3550 data_time: 0.0052 loss: 1.5045 03/04 06:02:52 - mmengine - INFO - Epoch(train) [61][1300/5005] lr: 3.4549e-02 eta: 19:51:22 time: 0.3671 data_time: 0.0049 loss: 1.7786 03/04 06:03:27 - mmengine - INFO - Epoch(train) [61][1400/5005] lr: 3.4549e-02 eta: 19:50:45 time: 0.3501 data_time: 0.0051 loss: 1.6352 03/04 06:04:02 - mmengine - INFO - Epoch(train) [61][1500/5005] lr: 3.4549e-02 eta: 19:50:09 time: 0.3445 data_time: 0.0051 loss: 1.5002 03/04 06:04:37 - mmengine - INFO - Epoch(train) [61][1600/5005] lr: 3.4549e-02 eta: 19:49:32 time: 0.3507 data_time: 0.0049 loss: 1.5021 03/04 06:05:14 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 06:05:14 - mmengine - INFO - Epoch(train) [61][1700/5005] lr: 3.4549e-02 eta: 19:48:56 time: 0.3484 data_time: 0.0053 loss: 1.6796 03/04 06:05:49 - mmengine - INFO - Epoch(train) [61][1800/5005] lr: 3.4549e-02 eta: 19:48:20 time: 0.3706 data_time: 0.0053 loss: 1.7690 03/04 06:06:24 - mmengine - INFO - Epoch(train) [61][1900/5005] lr: 3.4549e-02 eta: 19:47:44 time: 0.3517 data_time: 0.0050 loss: 1.5900 03/04 06:07:00 - mmengine - INFO - Epoch(train) [61][2000/5005] lr: 3.4549e-02 eta: 19:47:08 time: 0.3600 data_time: 0.0050 loss: 1.7939 03/04 06:07:36 - mmengine - INFO - Epoch(train) [61][2100/5005] lr: 3.4549e-02 eta: 19:46:31 time: 0.3644 data_time: 0.0049 loss: 1.9378 03/04 06:08:11 - mmengine - INFO - Epoch(train) [61][2200/5005] lr: 3.4549e-02 eta: 19:45:55 time: 0.3450 data_time: 0.0048 loss: 1.4862 03/04 06:08:47 - mmengine - INFO - Epoch(train) [61][2300/5005] lr: 3.4549e-02 eta: 19:45:19 time: 0.3431 data_time: 0.0052 loss: 1.8163 03/04 06:09:22 - mmengine - INFO - Epoch(train) [61][2400/5005] lr: 3.4549e-02 eta: 19:44:43 time: 0.3577 data_time: 0.0048 loss: 1.7728 03/04 06:09:58 - mmengine - INFO - Epoch(train) [61][2500/5005] lr: 3.4549e-02 eta: 19:44:06 time: 0.3467 data_time: 0.0050 loss: 1.7652 03/04 06:10:34 - mmengine - INFO - Epoch(train) [61][2600/5005] lr: 3.4549e-02 eta: 19:43:30 time: 0.3722 data_time: 0.0052 loss: 1.6040 03/04 06:11:09 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 06:11:09 - mmengine - INFO - Epoch(train) [61][2700/5005] lr: 3.4549e-02 eta: 19:42:54 time: 0.3420 data_time: 0.0050 loss: 1.7723 03/04 06:11:45 - mmengine - INFO - Epoch(train) [61][2800/5005] lr: 3.4549e-02 eta: 19:42:18 time: 0.3528 data_time: 0.0049 loss: 1.6299 03/04 06:12:20 - mmengine - INFO - Epoch(train) [61][2900/5005] lr: 3.4549e-02 eta: 19:41:41 time: 0.3514 data_time: 0.0049 loss: 1.7838 03/04 06:12:55 - mmengine - INFO - Epoch(train) [61][3000/5005] lr: 3.4549e-02 eta: 19:41:05 time: 0.3427 data_time: 0.0049 loss: 1.9341 03/04 06:13:31 - mmengine - INFO - Epoch(train) [61][3100/5005] lr: 3.4549e-02 eta: 19:40:28 time: 0.3469 data_time: 0.0048 loss: 1.7134 03/04 06:14:06 - mmengine - INFO - Epoch(train) [61][3200/5005] lr: 3.4549e-02 eta: 19:39:52 time: 0.3575 data_time: 0.0050 loss: 1.6267 03/04 06:14:41 - mmengine - INFO - Epoch(train) [61][3300/5005] lr: 3.4549e-02 eta: 19:39:15 time: 0.3437 data_time: 0.0050 loss: 1.8139 03/04 06:15:17 - mmengine - INFO - Epoch(train) [61][3400/5005] lr: 3.4549e-02 eta: 19:38:39 time: 0.3746 data_time: 0.0048 loss: 1.6246 03/04 06:15:51 - mmengine - INFO - Epoch(train) [61][3500/5005] lr: 3.4549e-02 eta: 19:38:02 time: 0.3378 data_time: 0.0048 loss: 1.5890 03/04 06:16:28 - mmengine - INFO - Epoch(train) [61][3600/5005] lr: 3.4549e-02 eta: 19:37:27 time: 0.3704 data_time: 0.0053 loss: 1.8687 03/04 06:17:03 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 06:17:03 - mmengine - INFO - Epoch(train) [61][3700/5005] lr: 3.4549e-02 eta: 19:36:50 time: 0.3588 data_time: 0.0049 loss: 1.8291 03/04 06:17:38 - mmengine - INFO - Epoch(train) [61][3800/5005] lr: 3.4549e-02 eta: 19:36:14 time: 0.3501 data_time: 0.0047 loss: 1.6347 03/04 06:18:14 - mmengine - INFO - Epoch(train) [61][3900/5005] lr: 3.4549e-02 eta: 19:35:38 time: 0.3536 data_time: 0.0049 loss: 1.7906 03/04 06:18:49 - mmengine - INFO - Epoch(train) [61][4000/5005] lr: 3.4549e-02 eta: 19:35:01 time: 0.3614 data_time: 0.0049 loss: 1.6705 03/04 06:19:25 - mmengine - INFO - Epoch(train) [61][4100/5005] lr: 3.4549e-02 eta: 19:34:25 time: 0.3593 data_time: 0.0050 loss: 1.7603 03/04 06:20:00 - mmengine - INFO - Epoch(train) [61][4200/5005] lr: 3.4549e-02 eta: 19:33:48 time: 0.3531 data_time: 0.0051 loss: 1.5964 03/04 06:20:35 - mmengine - INFO - Epoch(train) [61][4300/5005] lr: 3.4549e-02 eta: 19:33:12 time: 0.3419 data_time: 0.0053 loss: 1.7675 03/04 06:21:11 - mmengine - INFO - Epoch(train) [61][4400/5005] lr: 3.4549e-02 eta: 19:32:36 time: 0.3478 data_time: 0.0049 loss: 1.6860 03/04 06:21:46 - mmengine - INFO - Epoch(train) [61][4500/5005] lr: 3.4549e-02 eta: 19:31:59 time: 0.3427 data_time: 0.0051 loss: 1.7309 03/04 06:22:21 - mmengine - INFO - Epoch(train) [61][4600/5005] lr: 3.4549e-02 eta: 19:31:23 time: 0.3391 data_time: 0.0052 loss: 1.7966 03/04 06:22:57 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 06:22:57 - mmengine - INFO - Epoch(train) [61][4700/5005] lr: 3.4549e-02 eta: 19:30:47 time: 0.3662 data_time: 0.0048 loss: 1.8016 03/04 06:23:32 - mmengine - INFO - Epoch(train) [61][4800/5005] lr: 3.4549e-02 eta: 19:30:10 time: 0.3710 data_time: 0.0050 loss: 1.7701 03/04 06:24:09 - mmengine - INFO - Epoch(train) [61][4900/5005] lr: 3.4549e-02 eta: 19:29:35 time: 0.4134 data_time: 0.0054 loss: 1.5848 03/04 06:24:52 - mmengine - INFO - Epoch(train) [61][5000/5005] lr: 3.4549e-02 eta: 19:29:04 time: 0.4380 data_time: 0.0055 loss: 1.7678 03/04 06:24:55 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 06:24:58 - mmengine - INFO - Saving checkpoint at 61 epochs 03/04 06:25:15 - mmengine - INFO - Epoch(val) [61][100/196] eta: 0:00:15 time: 0.0460 data_time: 0.0003 03/04 06:25:31 - mmengine - INFO - Epoch(val) [61][196/196] accuracy/top1: 64.7880 accuracy/top5: 86.8140 03/04 06:26:17 - mmengine - INFO - Epoch(train) [62][ 100/5005] lr: 3.3063e-02 eta: 19:28:32 time: 0.3707 data_time: 0.0052 loss: 1.5300 03/04 06:26:52 - mmengine - INFO - Epoch(train) [62][ 200/5005] lr: 3.3063e-02 eta: 19:27:56 time: 0.3489 data_time: 0.0052 loss: 1.4638 03/04 06:27:27 - mmengine - INFO - Epoch(train) [62][ 300/5005] lr: 3.3063e-02 eta: 19:27:19 time: 0.3448 data_time: 0.0049 loss: 1.7471 03/04 06:28:03 - mmengine - INFO - Epoch(train) [62][ 400/5005] lr: 3.3063e-02 eta: 19:26:43 time: 0.3583 data_time: 0.0052 loss: 1.5472 03/04 06:28:39 - mmengine - INFO - Epoch(train) [62][ 500/5005] lr: 3.3063e-02 eta: 19:26:07 time: 0.3643 data_time: 0.0049 loss: 1.8361 03/04 06:29:15 - mmengine - INFO - Epoch(train) [62][ 600/5005] lr: 3.3063e-02 eta: 19:25:31 time: 0.3470 data_time: 0.0051 loss: 1.5701 03/04 06:29:48 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 06:29:50 - mmengine - INFO - Epoch(train) [62][ 700/5005] lr: 3.3063e-02 eta: 19:24:55 time: 0.3508 data_time: 0.0050 loss: 1.7049 03/04 06:30:25 - mmengine - INFO - Epoch(train) [62][ 800/5005] lr: 3.3063e-02 eta: 19:24:18 time: 0.3419 data_time: 0.0051 loss: 1.7399 03/04 06:31:00 - mmengine - INFO - Epoch(train) [62][ 900/5005] lr: 3.3063e-02 eta: 19:23:42 time: 0.3545 data_time: 0.0055 loss: 1.4532 03/04 06:31:36 - mmengine - INFO - Epoch(train) [62][1000/5005] lr: 3.3063e-02 eta: 19:23:05 time: 0.3641 data_time: 0.0053 loss: 1.6541 03/04 06:32:11 - mmengine - INFO - Epoch(train) [62][1100/5005] lr: 3.3063e-02 eta: 19:22:29 time: 0.3502 data_time: 0.0053 loss: 1.6400 03/04 06:32:46 - mmengine - INFO - Epoch(train) [62][1200/5005] lr: 3.3063e-02 eta: 19:21:52 time: 0.3600 data_time: 0.0048 loss: 1.7211 03/04 06:33:22 - mmengine - INFO - Epoch(train) [62][1300/5005] lr: 3.3063e-02 eta: 19:21:16 time: 0.3460 data_time: 0.0052 loss: 1.6190 03/04 06:33:57 - mmengine - INFO - Epoch(train) [62][1400/5005] lr: 3.3063e-02 eta: 19:20:40 time: 0.3443 data_time: 0.0051 loss: 1.6375 03/04 06:34:33 - mmengine - INFO - Epoch(train) [62][1500/5005] lr: 3.3063e-02 eta: 19:20:04 time: 0.3503 data_time: 0.0053 loss: 1.6973 03/04 06:35:08 - mmengine - INFO - Epoch(train) [62][1600/5005] lr: 3.3063e-02 eta: 19:19:27 time: 0.3409 data_time: 0.0049 loss: 1.5792 03/04 06:35:42 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 06:35:44 - mmengine - INFO - Epoch(train) [62][1700/5005] lr: 3.3063e-02 eta: 19:18:51 time: 0.3484 data_time: 0.0053 loss: 1.5338 03/04 06:36:19 - mmengine - INFO - Epoch(train) [62][1800/5005] lr: 3.3063e-02 eta: 19:18:15 time: 0.3600 data_time: 0.0052 loss: 1.9609 03/04 06:36:55 - mmengine - INFO - Epoch(train) [62][1900/5005] lr: 3.3063e-02 eta: 19:17:39 time: 0.3495 data_time: 0.0049 loss: 1.6503 03/04 06:37:31 - mmengine - INFO - Epoch(train) [62][2000/5005] lr: 3.3063e-02 eta: 19:17:03 time: 0.3863 data_time: 0.0049 loss: 1.4768 03/04 06:38:06 - mmengine - INFO - Epoch(train) [62][2100/5005] lr: 3.3063e-02 eta: 19:16:26 time: 0.3482 data_time: 0.0049 loss: 1.8108 03/04 06:38:42 - mmengine - INFO - Epoch(train) [62][2200/5005] lr: 3.3063e-02 eta: 19:15:50 time: 0.3435 data_time: 0.0050 loss: 1.7392 03/04 06:39:17 - mmengine - INFO - Epoch(train) [62][2300/5005] lr: 3.3063e-02 eta: 19:15:14 time: 0.3632 data_time: 0.0051 loss: 1.6742 03/04 06:39:53 - mmengine - INFO - Epoch(train) [62][2400/5005] lr: 3.3063e-02 eta: 19:14:38 time: 0.3613 data_time: 0.0050 loss: 1.6651 03/04 06:40:29 - mmengine - INFO - Epoch(train) [62][2500/5005] lr: 3.3063e-02 eta: 19:14:01 time: 0.3691 data_time: 0.0050 loss: 1.8289 03/04 06:41:04 - mmengine - INFO - Epoch(train) [62][2600/5005] lr: 3.3063e-02 eta: 19:13:25 time: 0.3462 data_time: 0.0049 loss: 1.6487 03/04 06:41:38 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 06:41:40 - mmengine - INFO - Epoch(train) [62][2700/5005] lr: 3.3063e-02 eta: 19:12:49 time: 0.3452 data_time: 0.0050 loss: 1.6418 03/04 06:42:15 - mmengine - INFO - Epoch(train) [62][2800/5005] lr: 3.3063e-02 eta: 19:12:13 time: 0.3622 data_time: 0.0051 loss: 1.6310 03/04 06:42:51 - mmengine - INFO - Epoch(train) [62][2900/5005] lr: 3.3063e-02 eta: 19:11:36 time: 0.3448 data_time: 0.0050 loss: 1.8089 03/04 06:43:26 - mmengine - INFO - Epoch(train) [62][3000/5005] lr: 3.3063e-02 eta: 19:11:00 time: 0.3475 data_time: 0.0050 loss: 1.7324 03/04 06:44:01 - mmengine - INFO - Epoch(train) [62][3100/5005] lr: 3.3063e-02 eta: 19:10:23 time: 0.3480 data_time: 0.0051 loss: 1.6423 03/04 06:44:37 - mmengine - INFO - Epoch(train) [62][3200/5005] lr: 3.3063e-02 eta: 19:09:47 time: 0.3518 data_time: 0.0051 loss: 1.4645 03/04 06:45:12 - mmengine - INFO - Epoch(train) [62][3300/5005] lr: 3.3063e-02 eta: 19:09:11 time: 0.3629 data_time: 0.0052 loss: 1.6355 03/04 06:45:47 - mmengine - INFO - Epoch(train) [62][3400/5005] lr: 3.3063e-02 eta: 19:08:34 time: 0.3546 data_time: 0.0052 loss: 1.5650 03/04 06:46:23 - mmengine - INFO - Epoch(train) [62][3500/5005] lr: 3.3063e-02 eta: 19:07:58 time: 0.3461 data_time: 0.0049 loss: 1.7624 03/04 06:46:59 - mmengine - INFO - Epoch(train) [62][3600/5005] lr: 3.3063e-02 eta: 19:07:22 time: 0.3559 data_time: 0.0050 loss: 1.6087 03/04 06:47:32 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 06:47:34 - mmengine - INFO - Epoch(train) [62][3700/5005] lr: 3.3063e-02 eta: 19:06:46 time: 0.3420 data_time: 0.0050 loss: 1.6276 03/04 06:48:09 - mmengine - INFO - Epoch(train) [62][3800/5005] lr: 3.3063e-02 eta: 19:06:09 time: 0.3684 data_time: 0.0049 loss: 1.8434 03/04 06:48:44 - mmengine - INFO - Epoch(train) [62][3900/5005] lr: 3.3063e-02 eta: 19:05:33 time: 0.3484 data_time: 0.0049 loss: 1.6675 03/04 06:49:20 - mmengine - INFO - Epoch(train) [62][4000/5005] lr: 3.3063e-02 eta: 19:04:57 time: 0.3398 data_time: 0.0049 loss: 1.7467 03/04 06:49:56 - mmengine - INFO - Epoch(train) [62][4100/5005] lr: 3.3063e-02 eta: 19:04:20 time: 0.3725 data_time: 0.0053 loss: 1.6089 03/04 06:50:31 - mmengine - INFO - Epoch(train) [62][4200/5005] lr: 3.3063e-02 eta: 19:03:44 time: 0.3535 data_time: 0.0052 loss: 1.7118 03/04 06:51:06 - mmengine - INFO - Epoch(train) [62][4300/5005] lr: 3.3063e-02 eta: 19:03:08 time: 0.3608 data_time: 0.0049 loss: 1.6858 03/04 06:51:42 - mmengine - INFO - Epoch(train) [62][4400/5005] lr: 3.3063e-02 eta: 19:02:31 time: 0.3867 data_time: 0.0051 loss: 1.7246 03/04 06:52:17 - mmengine - INFO - Epoch(train) [62][4500/5005] lr: 3.3063e-02 eta: 19:01:55 time: 0.3441 data_time: 0.0048 loss: 1.8413 03/04 06:52:52 - mmengine - INFO - Epoch(train) [62][4600/5005] lr: 3.3063e-02 eta: 19:01:19 time: 0.3601 data_time: 0.0050 loss: 1.8270 03/04 06:53:25 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 06:53:27 - mmengine - INFO - Epoch(train) [62][4700/5005] lr: 3.3063e-02 eta: 19:00:42 time: 0.3530 data_time: 0.0049 loss: 1.4275 03/04 06:54:03 - mmengine - INFO - Epoch(train) [62][4800/5005] lr: 3.3063e-02 eta: 19:00:06 time: 0.3532 data_time: 0.0050 loss: 1.5967 03/04 06:54:40 - mmengine - INFO - Epoch(train) [62][4900/5005] lr: 3.3063e-02 eta: 18:59:31 time: 0.4693 data_time: 0.0052 loss: 1.9658 03/04 06:55:22 - mmengine - INFO - Epoch(train) [62][5000/5005] lr: 3.3063e-02 eta: 18:58:58 time: 0.4343 data_time: 0.0062 loss: 1.4540 03/04 06:55:24 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 06:55:27 - mmengine - INFO - Saving checkpoint at 62 epochs 03/04 06:55:44 - mmengine - INFO - Epoch(val) [62][100/196] eta: 0:00:15 time: 0.0448 data_time: 0.0003 03/04 06:56:01 - mmengine - INFO - Epoch(val) [62][196/196] accuracy/top1: 65.8540 accuracy/top5: 87.1100 03/04 06:56:45 - mmengine - INFO - Epoch(train) [63][ 100/5005] lr: 3.1594e-02 eta: 18:58:26 time: 0.3493 data_time: 0.0049 loss: 1.7827 03/04 06:57:21 - mmengine - INFO - Epoch(train) [63][ 200/5005] lr: 3.1594e-02 eta: 18:57:50 time: 0.3531 data_time: 0.0055 loss: 1.6633 03/04 06:57:57 - mmengine - INFO - Epoch(train) [63][ 300/5005] lr: 3.1594e-02 eta: 18:57:14 time: 0.3445 data_time: 0.0051 loss: 1.7453 03/04 06:58:33 - mmengine - INFO - Epoch(train) [63][ 400/5005] lr: 3.1594e-02 eta: 18:56:38 time: 0.3509 data_time: 0.0050 loss: 1.6611 03/04 06:59:08 - mmengine - INFO - Epoch(train) [63][ 500/5005] lr: 3.1594e-02 eta: 18:56:01 time: 0.3505 data_time: 0.0053 loss: 1.6664 03/04 06:59:44 - mmengine - INFO - Epoch(train) [63][ 600/5005] lr: 3.1594e-02 eta: 18:55:25 time: 0.3472 data_time: 0.0050 loss: 1.4669 03/04 07:00:17 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 07:00:20 - mmengine - INFO - Epoch(train) [63][ 700/5005] lr: 3.1594e-02 eta: 18:54:49 time: 0.3575 data_time: 0.0053 loss: 1.7009 03/04 07:00:56 - mmengine - INFO - Epoch(train) [63][ 800/5005] lr: 3.1594e-02 eta: 18:54:13 time: 0.3499 data_time: 0.0050 loss: 1.7370 03/04 07:01:31 - mmengine - INFO - Epoch(train) [63][ 900/5005] lr: 3.1594e-02 eta: 18:53:37 time: 0.3386 data_time: 0.0049 loss: 1.6682 03/04 07:02:07 - mmengine - INFO - Epoch(train) [63][1000/5005] lr: 3.1594e-02 eta: 18:53:01 time: 0.3624 data_time: 0.0051 loss: 1.6663 03/04 07:02:43 - mmengine - INFO - Epoch(train) [63][1100/5005] lr: 3.1594e-02 eta: 18:52:24 time: 0.3400 data_time: 0.0048 loss: 1.5808 03/04 07:03:19 - mmengine - INFO - Epoch(train) [63][1200/5005] lr: 3.1594e-02 eta: 18:51:49 time: 0.3588 data_time: 0.0050 loss: 1.7440 03/04 07:03:54 - mmengine - INFO - Epoch(train) [63][1300/5005] lr: 3.1594e-02 eta: 18:51:12 time: 0.3611 data_time: 0.0050 loss: 1.5524 03/04 07:04:29 - mmengine - INFO - Epoch(train) [63][1400/5005] lr: 3.1594e-02 eta: 18:50:36 time: 0.3448 data_time: 0.0051 loss: 1.3843 03/04 07:05:05 - mmengine - INFO - Epoch(train) [63][1500/5005] lr: 3.1594e-02 eta: 18:50:00 time: 0.3587 data_time: 0.0055 loss: 1.8206 03/04 07:05:40 - mmengine - INFO - Epoch(train) [63][1600/5005] lr: 3.1594e-02 eta: 18:49:23 time: 0.3674 data_time: 0.0052 loss: 1.7033 03/04 07:06:12 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 07:06:16 - mmengine - INFO - Epoch(train) [63][1700/5005] lr: 3.1594e-02 eta: 18:48:47 time: 0.3412 data_time: 0.0052 loss: 1.7850 03/04 07:06:51 - mmengine - INFO - Epoch(train) [63][1800/5005] lr: 3.1594e-02 eta: 18:48:11 time: 0.3725 data_time: 0.0051 loss: 1.7028 03/04 07:07:27 - mmengine - INFO - Epoch(train) [63][1900/5005] lr: 3.1594e-02 eta: 18:47:34 time: 0.3486 data_time: 0.0052 loss: 1.7902 03/04 07:08:03 - mmengine - INFO - Epoch(train) [63][2000/5005] lr: 3.1594e-02 eta: 18:46:58 time: 0.3500 data_time: 0.0052 loss: 1.6302 03/04 07:08:38 - mmengine - INFO - Epoch(train) [63][2100/5005] lr: 3.1594e-02 eta: 18:46:22 time: 0.3591 data_time: 0.0054 loss: 1.6065 03/04 07:09:14 - mmengine - INFO - Epoch(train) [63][2200/5005] lr: 3.1594e-02 eta: 18:45:46 time: 0.3469 data_time: 0.0050 loss: 1.6763 03/04 07:09:49 - mmengine - INFO - Epoch(train) [63][2300/5005] lr: 3.1594e-02 eta: 18:45:10 time: 0.3593 data_time: 0.0056 loss: 1.7580 03/04 07:10:24 - mmengine - INFO - Epoch(train) [63][2400/5005] lr: 3.1594e-02 eta: 18:44:33 time: 0.3652 data_time: 0.0052 loss: 1.5284 03/04 07:11:00 - mmengine - INFO - Epoch(train) [63][2500/5005] lr: 3.1594e-02 eta: 18:43:57 time: 0.3539 data_time: 0.0052 loss: 1.5152 03/04 07:11:36 - mmengine - INFO - Epoch(train) [63][2600/5005] lr: 3.1594e-02 eta: 18:43:21 time: 0.3593 data_time: 0.0051 loss: 1.7446 03/04 07:12:08 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 07:12:11 - mmengine - INFO - Epoch(train) [63][2700/5005] lr: 3.1594e-02 eta: 18:42:45 time: 0.3563 data_time: 0.0051 loss: 1.7424 03/04 07:12:47 - mmengine - INFO - Epoch(train) [63][2800/5005] lr: 3.1594e-02 eta: 18:42:09 time: 0.3522 data_time: 0.0049 loss: 1.7342 03/04 07:13:23 - mmengine - INFO - Epoch(train) [63][2900/5005] lr: 3.1594e-02 eta: 18:41:33 time: 0.3789 data_time: 0.0052 loss: 1.7126 03/04 07:13:58 - mmengine - INFO - Epoch(train) [63][3000/5005] lr: 3.1594e-02 eta: 18:40:56 time: 0.3542 data_time: 0.0049 loss: 1.6442 03/04 07:14:34 - mmengine - INFO - Epoch(train) [63][3100/5005] lr: 3.1594e-02 eta: 18:40:20 time: 0.3431 data_time: 0.0049 loss: 1.7155 03/04 07:15:09 - mmengine - INFO - Epoch(train) [63][3200/5005] lr: 3.1594e-02 eta: 18:39:44 time: 0.3389 data_time: 0.0048 loss: 1.6659 03/04 07:15:45 - mmengine - INFO - Epoch(train) [63][3300/5005] lr: 3.1594e-02 eta: 18:39:07 time: 0.3438 data_time: 0.0052 loss: 1.6744 03/04 07:16:20 - mmengine - INFO - Epoch(train) [63][3400/5005] lr: 3.1594e-02 eta: 18:38:31 time: 0.3504 data_time: 0.0051 loss: 1.6209 03/04 07:16:55 - mmengine - INFO - Epoch(train) [63][3500/5005] lr: 3.1594e-02 eta: 18:37:55 time: 0.3416 data_time: 0.0053 loss: 1.7411 03/04 07:17:31 - mmengine - INFO - Epoch(train) [63][3600/5005] lr: 3.1594e-02 eta: 18:37:19 time: 0.3678 data_time: 0.0054 loss: 1.6723 03/04 07:18:03 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 07:18:07 - mmengine - INFO - Epoch(train) [63][3700/5005] lr: 3.1594e-02 eta: 18:36:42 time: 0.3829 data_time: 0.0050 loss: 1.6839 03/04 07:18:42 - mmengine - INFO - Epoch(train) [63][3800/5005] lr: 3.1594e-02 eta: 18:36:06 time: 0.3527 data_time: 0.0051 loss: 1.7166 03/04 07:19:18 - mmengine - INFO - Epoch(train) [63][3900/5005] lr: 3.1594e-02 eta: 18:35:30 time: 0.3496 data_time: 0.0052 loss: 1.5675 03/04 07:19:53 - mmengine - INFO - Epoch(train) [63][4000/5005] lr: 3.1594e-02 eta: 18:34:54 time: 0.3455 data_time: 0.0051 loss: 1.6897 03/04 07:20:29 - mmengine - INFO - Epoch(train) [63][4100/5005] lr: 3.1594e-02 eta: 18:34:17 time: 0.3715 data_time: 0.0051 loss: 1.8325 03/04 07:21:04 - mmengine - INFO - Epoch(train) [63][4200/5005] lr: 3.1594e-02 eta: 18:33:41 time: 0.3423 data_time: 0.0052 loss: 1.6023 03/04 07:21:39 - mmengine - INFO - Epoch(train) [63][4300/5005] lr: 3.1594e-02 eta: 18:33:05 time: 0.3532 data_time: 0.0051 loss: 1.6199 03/04 07:22:15 - mmengine - INFO - Epoch(train) [63][4400/5005] lr: 3.1594e-02 eta: 18:32:28 time: 0.3393 data_time: 0.0049 loss: 1.6922 03/04 07:22:50 - mmengine - INFO - Epoch(train) [63][4500/5005] lr: 3.1594e-02 eta: 18:31:52 time: 0.3720 data_time: 0.0050 loss: 1.6023 03/04 07:23:26 - mmengine - INFO - Epoch(train) [63][4600/5005] lr: 3.1594e-02 eta: 18:31:16 time: 0.3507 data_time: 0.0053 loss: 1.6561 03/04 07:23:58 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 07:24:01 - mmengine - INFO - Epoch(train) [63][4700/5005] lr: 3.1594e-02 eta: 18:30:40 time: 0.3456 data_time: 0.0050 loss: 1.7736 03/04 07:24:37 - mmengine - INFO - Epoch(train) [63][4800/5005] lr: 3.1594e-02 eta: 18:30:04 time: 0.3794 data_time: 0.0053 loss: 1.7045 03/04 07:25:14 - mmengine - INFO - Epoch(train) [63][4900/5005] lr: 3.1594e-02 eta: 18:29:28 time: 0.4620 data_time: 0.0058 loss: 1.6603 03/04 07:25:59 - mmengine - INFO - Epoch(train) [63][5000/5005] lr: 3.1594e-02 eta: 18:28:58 time: 0.4589 data_time: 0.0064 loss: 1.6522 03/04 07:26:01 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 07:26:05 - mmengine - INFO - Saving checkpoint at 63 epochs 03/04 07:26:22 - mmengine - INFO - Epoch(val) [63][100/196] eta: 0:00:15 time: 0.0448 data_time: 0.0004 03/04 07:26:39 - mmengine - INFO - Epoch(val) [63][196/196] accuracy/top1: 65.4420 accuracy/top5: 86.7360 03/04 07:27:24 - mmengine - INFO - Epoch(train) [64][ 100/5005] lr: 3.0143e-02 eta: 18:28:26 time: 0.3445 data_time: 0.0057 loss: 1.5030 03/04 07:28:00 - mmengine - INFO - Epoch(train) [64][ 200/5005] lr: 3.0143e-02 eta: 18:27:49 time: 0.3510 data_time: 0.0052 loss: 1.4344 03/04 07:28:35 - mmengine - INFO - Epoch(train) [64][ 300/5005] lr: 3.0143e-02 eta: 18:27:13 time: 0.3491 data_time: 0.0055 loss: 1.7021 03/04 07:29:12 - mmengine - INFO - Epoch(train) [64][ 400/5005] lr: 3.0143e-02 eta: 18:26:37 time: 0.3795 data_time: 0.0053 loss: 1.7475 03/04 07:29:47 - mmengine - INFO - Epoch(train) [64][ 500/5005] lr: 3.0143e-02 eta: 18:26:01 time: 0.3425 data_time: 0.0052 loss: 1.7645 03/04 07:30:23 - mmengine - INFO - Epoch(train) [64][ 600/5005] lr: 3.0143e-02 eta: 18:25:25 time: 0.3421 data_time: 0.0051 loss: 1.7820 03/04 07:30:54 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 07:30:59 - mmengine - INFO - Epoch(train) [64][ 700/5005] lr: 3.0143e-02 eta: 18:24:49 time: 0.3560 data_time: 0.0051 loss: 1.6115 03/04 07:31:35 - mmengine - INFO - Epoch(train) [64][ 800/5005] lr: 3.0143e-02 eta: 18:24:13 time: 0.3469 data_time: 0.0054 loss: 1.7391 03/04 07:32:11 - mmengine - INFO - Epoch(train) [64][ 900/5005] lr: 3.0143e-02 eta: 18:23:37 time: 0.3634 data_time: 0.0049 loss: 1.6322 03/04 07:32:47 - mmengine - INFO - Epoch(train) [64][1000/5005] lr: 3.0143e-02 eta: 18:23:01 time: 0.3636 data_time: 0.0050 loss: 1.4867 03/04 07:33:22 - mmengine - INFO - Epoch(train) [64][1100/5005] lr: 3.0143e-02 eta: 18:22:25 time: 0.3511 data_time: 0.0052 loss: 1.5084 03/04 07:33:58 - mmengine - INFO - Epoch(train) [64][1200/5005] lr: 3.0143e-02 eta: 18:21:49 time: 0.3427 data_time: 0.0052 loss: 1.4917 03/04 07:34:33 - mmengine - INFO - Epoch(train) [64][1300/5005] lr: 3.0143e-02 eta: 18:21:12 time: 0.3514 data_time: 0.0051 loss: 1.6328 03/04 07:35:09 - mmengine - INFO - Epoch(train) [64][1400/5005] lr: 3.0143e-02 eta: 18:20:36 time: 0.3554 data_time: 0.0050 loss: 1.5628 03/04 07:35:45 - mmengine - INFO - Epoch(train) [64][1500/5005] lr: 3.0143e-02 eta: 18:20:00 time: 0.3634 data_time: 0.0049 loss: 1.5367 03/04 07:36:20 - mmengine - INFO - Epoch(train) [64][1600/5005] lr: 3.0143e-02 eta: 18:19:24 time: 0.3561 data_time: 0.0050 loss: 1.6135 03/04 07:36:51 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 07:36:56 - mmengine - INFO - Epoch(train) [64][1700/5005] lr: 3.0143e-02 eta: 18:18:48 time: 0.3612 data_time: 0.0051 loss: 1.5782 03/04 07:37:31 - mmengine - INFO - Epoch(train) [64][1800/5005] lr: 3.0143e-02 eta: 18:18:11 time: 0.3586 data_time: 0.0050 loss: 1.4261 03/04 07:38:07 - mmengine - INFO - Epoch(train) [64][1900/5005] lr: 3.0143e-02 eta: 18:17:35 time: 0.3463 data_time: 0.0048 loss: 1.6814 03/04 07:38:42 - mmengine - INFO - Epoch(train) [64][2000/5005] lr: 3.0143e-02 eta: 18:16:59 time: 0.3780 data_time: 0.0053 loss: 1.5129 03/04 07:39:17 - mmengine - INFO - Epoch(train) [64][2100/5005] lr: 3.0143e-02 eta: 18:16:22 time: 0.3636 data_time: 0.0050 loss: 1.6820 03/04 07:39:53 - mmengine - INFO - Epoch(train) [64][2200/5005] lr: 3.0143e-02 eta: 18:15:46 time: 0.3498 data_time: 0.0049 loss: 1.7289 03/04 07:40:28 - mmengine - INFO - Epoch(train) [64][2300/5005] lr: 3.0143e-02 eta: 18:15:10 time: 0.3403 data_time: 0.0058 loss: 1.6407 03/04 07:41:03 - mmengine - INFO - Epoch(train) [64][2400/5005] lr: 3.0143e-02 eta: 18:14:33 time: 0.3480 data_time: 0.0050 loss: 1.8018 03/04 07:41:38 - mmengine - INFO - Epoch(train) [64][2500/5005] lr: 3.0143e-02 eta: 18:13:57 time: 0.3429 data_time: 0.0050 loss: 1.6006 03/04 07:42:13 - mmengine - INFO - Epoch(train) [64][2600/5005] lr: 3.0143e-02 eta: 18:13:20 time: 0.3460 data_time: 0.0050 loss: 1.5735 03/04 07:42:44 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 07:42:49 - mmengine - INFO - Epoch(train) [64][2700/5005] lr: 3.0143e-02 eta: 18:12:44 time: 0.3492 data_time: 0.0050 loss: 1.4670 03/04 07:43:25 - mmengine - INFO - Epoch(train) [64][2800/5005] lr: 3.0143e-02 eta: 18:12:08 time: 0.3892 data_time: 0.0050 loss: 1.6298 03/04 07:44:00 - mmengine - INFO - Epoch(train) [64][2900/5005] lr: 3.0143e-02 eta: 18:11:32 time: 0.3648 data_time: 0.0052 loss: 1.8271 03/04 07:44:35 - mmengine - INFO - Epoch(train) [64][3000/5005] lr: 3.0143e-02 eta: 18:10:55 time: 0.3419 data_time: 0.0051 loss: 1.5426 03/04 07:45:10 - mmengine - INFO - Epoch(train) [64][3100/5005] lr: 3.0143e-02 eta: 18:10:19 time: 0.3547 data_time: 0.0054 loss: 1.5380 03/04 07:45:46 - mmengine - INFO - Epoch(train) [64][3200/5005] lr: 3.0143e-02 eta: 18:09:43 time: 0.3634 data_time: 0.0055 loss: 1.4748 03/04 07:46:22 - mmengine - INFO - Epoch(train) [64][3300/5005] lr: 3.0143e-02 eta: 18:09:06 time: 0.3421 data_time: 0.0053 loss: 1.5037 03/04 07:46:56 - mmengine - INFO - Epoch(train) [64][3400/5005] lr: 3.0143e-02 eta: 18:08:30 time: 0.3523 data_time: 0.0051 loss: 1.5384 03/04 07:47:32 - mmengine - INFO - Epoch(train) [64][3500/5005] lr: 3.0143e-02 eta: 18:07:53 time: 0.3434 data_time: 0.0051 loss: 1.6142 03/04 07:48:07 - mmengine - INFO - Epoch(train) [64][3600/5005] lr: 3.0143e-02 eta: 18:07:17 time: 0.3539 data_time: 0.0052 loss: 1.4774 03/04 07:48:37 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 07:48:42 - mmengine - INFO - Epoch(train) [64][3700/5005] lr: 3.0143e-02 eta: 18:06:41 time: 0.3532 data_time: 0.0049 loss: 1.5253 03/04 07:49:18 - mmengine - INFO - Epoch(train) [64][3800/5005] lr: 3.0143e-02 eta: 18:06:05 time: 0.3518 data_time: 0.0051 loss: 1.7923 03/04 07:49:53 - mmengine - INFO - Epoch(train) [64][3900/5005] lr: 3.0143e-02 eta: 18:05:28 time: 0.3447 data_time: 0.0052 loss: 1.7402 03/04 07:50:29 - mmengine - INFO - Epoch(train) [64][4000/5005] lr: 3.0143e-02 eta: 18:04:52 time: 0.3533 data_time: 0.0051 loss: 1.6919 03/04 07:51:04 - mmengine - INFO - Epoch(train) [64][4100/5005] lr: 3.0143e-02 eta: 18:04:16 time: 0.3637 data_time: 0.0051 loss: 1.6673 03/04 07:51:40 - mmengine - INFO - Epoch(train) [64][4200/5005] lr: 3.0143e-02 eta: 18:03:39 time: 0.3444 data_time: 0.0051 loss: 1.6139 03/04 07:52:15 - mmengine - INFO - Epoch(train) [64][4300/5005] lr: 3.0143e-02 eta: 18:03:03 time: 0.3403 data_time: 0.0051 loss: 1.6478 03/04 07:52:51 - mmengine - INFO - Epoch(train) [64][4400/5005] lr: 3.0143e-02 eta: 18:02:27 time: 0.3676 data_time: 0.0050 loss: 1.7103 03/04 07:53:26 - mmengine - INFO - Epoch(train) [64][4500/5005] lr: 3.0143e-02 eta: 18:01:51 time: 0.3478 data_time: 0.0051 loss: 1.7250 03/04 07:54:02 - mmengine - INFO - Epoch(train) [64][4600/5005] lr: 3.0143e-02 eta: 18:01:15 time: 0.3469 data_time: 0.0048 loss: 1.8393 03/04 07:54:32 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 07:54:37 - mmengine - INFO - Epoch(train) [64][4700/5005] lr: 3.0143e-02 eta: 18:00:38 time: 0.3420 data_time: 0.0051 loss: 1.6855 03/04 07:55:12 - mmengine - INFO - Epoch(train) [64][4800/5005] lr: 3.0143e-02 eta: 18:00:02 time: 0.3509 data_time: 0.0049 loss: 1.6295 03/04 07:55:49 - mmengine - INFO - Epoch(train) [64][4900/5005] lr: 3.0143e-02 eta: 17:59:26 time: 0.3978 data_time: 0.0052 loss: 1.6063 03/04 07:56:32 - mmengine - INFO - Epoch(train) [64][5000/5005] lr: 3.0143e-02 eta: 17:58:54 time: 0.4545 data_time: 0.0059 loss: 1.8305 03/04 07:56:34 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 07:56:37 - mmengine - INFO - Saving checkpoint at 64 epochs 03/04 07:56:54 - mmengine - INFO - Epoch(val) [64][100/196] eta: 0:00:15 time: 0.0495 data_time: 0.0004 03/04 07:57:11 - mmengine - INFO - Epoch(val) [64][196/196] accuracy/top1: 66.4340 accuracy/top5: 87.7560 03/04 07:57:56 - mmengine - INFO - Epoch(train) [65][ 100/5005] lr: 2.8711e-02 eta: 17:58:22 time: 0.3830 data_time: 0.0049 loss: 1.6018 03/04 07:58:32 - mmengine - INFO - Epoch(train) [65][ 200/5005] lr: 2.8711e-02 eta: 17:57:46 time: 0.3460 data_time: 0.0053 loss: 1.5644 03/04 07:59:07 - mmengine - INFO - Epoch(train) [65][ 300/5005] lr: 2.8711e-02 eta: 17:57:09 time: 0.3481 data_time: 0.0053 loss: 1.5256 03/04 07:59:43 - mmengine - INFO - Epoch(train) [65][ 400/5005] lr: 2.8711e-02 eta: 17:56:34 time: 0.3524 data_time: 0.0053 loss: 1.6095 03/04 08:00:19 - mmengine - INFO - Epoch(train) [65][ 500/5005] lr: 2.8711e-02 eta: 17:55:58 time: 0.3658 data_time: 0.0054 loss: 1.5272 03/04 08:00:55 - mmengine - INFO - Epoch(train) [65][ 600/5005] lr: 2.8711e-02 eta: 17:55:21 time: 0.3498 data_time: 0.0051 loss: 1.5053 03/04 08:01:24 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 08:01:31 - mmengine - INFO - Epoch(train) [65][ 700/5005] lr: 2.8711e-02 eta: 17:54:46 time: 0.3618 data_time: 0.0055 loss: 1.7741 03/04 08:02:06 - mmengine - INFO - Epoch(train) [65][ 800/5005] lr: 2.8711e-02 eta: 17:54:09 time: 0.3616 data_time: 0.0054 loss: 1.4129 03/04 08:02:42 - mmengine - INFO - Epoch(train) [65][ 900/5005] lr: 2.8711e-02 eta: 17:53:33 time: 0.3530 data_time: 0.0051 loss: 1.7136 03/04 08:03:18 - mmengine - INFO - Epoch(train) [65][1000/5005] lr: 2.8711e-02 eta: 17:52:57 time: 0.3552 data_time: 0.0052 loss: 1.6822 03/04 08:03:53 - mmengine - INFO - Epoch(train) [65][1100/5005] lr: 2.8711e-02 eta: 17:52:21 time: 0.3517 data_time: 0.0049 loss: 1.5667 03/04 08:04:29 - mmengine - INFO - Epoch(train) [65][1200/5005] lr: 2.8711e-02 eta: 17:51:45 time: 0.3453 data_time: 0.0057 loss: 1.7780 03/04 08:05:04 - mmengine - INFO - Epoch(train) [65][1300/5005] lr: 2.8711e-02 eta: 17:51:08 time: 0.3627 data_time: 0.0052 loss: 1.6131 03/04 08:05:40 - mmengine - INFO - Epoch(train) [65][1400/5005] lr: 2.8711e-02 eta: 17:50:32 time: 0.3458 data_time: 0.0056 loss: 1.6434 03/04 08:06:16 - mmengine - INFO - Epoch(train) [65][1500/5005] lr: 2.8711e-02 eta: 17:49:56 time: 0.3804 data_time: 0.0055 loss: 1.5078 03/04 08:06:51 - mmengine - INFO - Epoch(train) [65][1600/5005] lr: 2.8711e-02 eta: 17:49:20 time: 0.3730 data_time: 0.0052 loss: 1.6508 03/04 08:07:19 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 08:07:26 - mmengine - INFO - Epoch(train) [65][1700/5005] lr: 2.8711e-02 eta: 17:48:44 time: 0.3484 data_time: 0.0050 loss: 1.5878 03/04 08:08:02 - mmengine - INFO - Epoch(train) [65][1800/5005] lr: 2.8711e-02 eta: 17:48:07 time: 0.3466 data_time: 0.0051 loss: 1.5612 03/04 08:08:38 - mmengine - INFO - Epoch(train) [65][1900/5005] lr: 2.8711e-02 eta: 17:47:31 time: 0.3700 data_time: 0.0052 loss: 1.6036 03/04 08:09:13 - mmengine - INFO - Epoch(train) [65][2000/5005] lr: 2.8711e-02 eta: 17:46:55 time: 0.3438 data_time: 0.0052 loss: 1.5948 03/04 08:09:49 - mmengine - INFO - Epoch(train) [65][2100/5005] lr: 2.8711e-02 eta: 17:46:19 time: 0.3580 data_time: 0.0050 loss: 1.6064 03/04 08:10:24 - mmengine - INFO - Epoch(train) [65][2200/5005] lr: 2.8711e-02 eta: 17:45:42 time: 0.3442 data_time: 0.0050 loss: 1.5651 03/04 08:10:59 - mmengine - INFO - Epoch(train) [65][2300/5005] lr: 2.8711e-02 eta: 17:45:06 time: 0.3563 data_time: 0.0050 loss: 1.6264 03/04 08:11:35 - mmengine - INFO - Epoch(train) [65][2400/5005] lr: 2.8711e-02 eta: 17:44:30 time: 0.3655 data_time: 0.0053 loss: 1.6161 03/04 08:12:10 - mmengine - INFO - Epoch(train) [65][2500/5005] lr: 2.8711e-02 eta: 17:43:54 time: 0.3408 data_time: 0.0049 loss: 1.5410 03/04 08:12:46 - mmengine - INFO - Epoch(train) [65][2600/5005] lr: 2.8711e-02 eta: 17:43:17 time: 0.3564 data_time: 0.0050 loss: 1.5579 03/04 08:13:14 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 08:13:21 - mmengine - INFO - Epoch(train) [65][2700/5005] lr: 2.8711e-02 eta: 17:42:41 time: 0.3735 data_time: 0.0051 loss: 1.7624 03/04 08:13:57 - mmengine - INFO - Epoch(train) [65][2800/5005] lr: 2.8711e-02 eta: 17:42:05 time: 0.3569 data_time: 0.0053 loss: 1.5782 03/04 08:14:32 - mmengine - INFO - Epoch(train) [65][2900/5005] lr: 2.8711e-02 eta: 17:41:28 time: 0.3478 data_time: 0.0054 loss: 1.4966 03/04 08:15:07 - mmengine - INFO - Epoch(train) [65][3000/5005] lr: 2.8711e-02 eta: 17:40:52 time: 0.3434 data_time: 0.0054 loss: 1.5700 03/04 08:15:43 - mmengine - INFO - Epoch(train) [65][3100/5005] lr: 2.8711e-02 eta: 17:40:16 time: 0.3429 data_time: 0.0050 loss: 1.5818 03/04 08:16:19 - mmengine - INFO - Epoch(train) [65][3200/5005] lr: 2.8711e-02 eta: 17:39:40 time: 0.3472 data_time: 0.0050 loss: 1.6464 03/04 08:16:54 - mmengine - INFO - Epoch(train) [65][3300/5005] lr: 2.8711e-02 eta: 17:39:04 time: 0.3436 data_time: 0.0060 loss: 1.3970 03/04 08:17:29 - mmengine - INFO - Epoch(train) [65][3400/5005] lr: 2.8711e-02 eta: 17:38:27 time: 0.3469 data_time: 0.0054 loss: 1.4211 03/04 08:18:05 - mmengine - INFO - Epoch(train) [65][3500/5005] lr: 2.8711e-02 eta: 17:37:51 time: 0.3755 data_time: 0.0051 loss: 1.6066 03/04 08:18:40 - mmengine - INFO - Epoch(train) [65][3600/5005] lr: 2.8711e-02 eta: 17:37:15 time: 0.3610 data_time: 0.0049 loss: 1.7959 03/04 08:19:09 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 08:19:16 - mmengine - INFO - Epoch(train) [65][3700/5005] lr: 2.8711e-02 eta: 17:36:39 time: 0.3680 data_time: 0.0055 loss: 1.5245 03/04 08:19:51 - mmengine - INFO - Epoch(train) [65][3800/5005] lr: 2.8711e-02 eta: 17:36:02 time: 0.3493 data_time: 0.0049 loss: 1.8409 03/04 08:20:27 - mmengine - INFO - Epoch(train) [65][3900/5005] lr: 2.8711e-02 eta: 17:35:26 time: 0.3478 data_time: 0.0049 loss: 1.6109 03/04 08:21:02 - mmengine - INFO - Epoch(train) [65][4000/5005] lr: 2.8711e-02 eta: 17:34:50 time: 0.3477 data_time: 0.0050 loss: 1.5582 03/04 08:21:38 - mmengine - INFO - Epoch(train) [65][4100/5005] lr: 2.8711e-02 eta: 17:34:14 time: 0.3665 data_time: 0.0052 loss: 1.6710 03/04 08:22:13 - mmengine - INFO - Epoch(train) [65][4200/5005] lr: 2.8711e-02 eta: 17:33:38 time: 0.3531 data_time: 0.0049 loss: 1.7173 03/04 08:22:49 - mmengine - INFO - Epoch(train) [65][4300/5005] lr: 2.8711e-02 eta: 17:33:01 time: 0.3634 data_time: 0.0052 loss: 1.6619 03/04 08:23:24 - mmengine - INFO - Epoch(train) [65][4400/5005] lr: 2.8711e-02 eta: 17:32:25 time: 0.3638 data_time: 0.0052 loss: 1.7785 03/04 08:24:00 - mmengine - INFO - Epoch(train) [65][4500/5005] lr: 2.8711e-02 eta: 17:31:49 time: 0.3565 data_time: 0.0051 loss: 1.7637 03/04 08:24:35 - mmengine - INFO - Epoch(train) [65][4600/5005] lr: 2.8711e-02 eta: 17:31:13 time: 0.3395 data_time: 0.0054 loss: 1.6478 03/04 08:25:04 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 08:25:11 - mmengine - INFO - Epoch(train) [65][4700/5005] lr: 2.8711e-02 eta: 17:30:36 time: 0.3421 data_time: 0.0051 loss: 1.6472 03/04 08:25:46 - mmengine - INFO - Epoch(train) [65][4800/5005] lr: 2.8711e-02 eta: 17:30:00 time: 0.3465 data_time: 0.0057 loss: 1.4166 03/04 08:26:23 - mmengine - INFO - Epoch(train) [65][4900/5005] lr: 2.8711e-02 eta: 17:29:25 time: 0.4239 data_time: 0.0054 loss: 1.6874 03/04 08:27:05 - mmengine - INFO - Epoch(train) [65][5000/5005] lr: 2.8711e-02 eta: 17:28:52 time: 0.4480 data_time: 0.0054 loss: 1.6219 03/04 08:27:07 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 08:27:11 - mmengine - INFO - Saving checkpoint at 65 epochs 03/04 08:27:27 - mmengine - INFO - Epoch(val) [65][100/196] eta: 0:00:14 time: 0.0340 data_time: 0.0002 03/04 08:27:44 - mmengine - INFO - Epoch(val) [65][196/196] accuracy/top1: 67.0080 accuracy/top5: 87.9320 03/04 08:28:29 - mmengine - INFO - Epoch(train) [66][ 100/5005] lr: 2.7300e-02 eta: 17:28:19 time: 0.3495 data_time: 0.0050 loss: 1.4774 03/04 08:29:04 - mmengine - INFO - Epoch(train) [66][ 200/5005] lr: 2.7300e-02 eta: 17:27:43 time: 0.3652 data_time: 0.0054 loss: 1.6501 03/04 08:29:40 - mmengine - INFO - Epoch(train) [66][ 300/5005] lr: 2.7300e-02 eta: 17:27:07 time: 0.3432 data_time: 0.0050 loss: 1.6807 03/04 08:30:16 - mmengine - INFO - Epoch(train) [66][ 400/5005] lr: 2.7300e-02 eta: 17:26:31 time: 0.3683 data_time: 0.0051 loss: 1.7254 03/04 08:30:51 - mmengine - INFO - Epoch(train) [66][ 500/5005] lr: 2.7300e-02 eta: 17:25:54 time: 0.3539 data_time: 0.0050 loss: 1.5824 03/04 08:31:27 - mmengine - INFO - Epoch(train) [66][ 600/5005] lr: 2.7300e-02 eta: 17:25:18 time: 0.3440 data_time: 0.0051 loss: 1.6574 03/04 08:31:53 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 08:32:02 - mmengine - INFO - Epoch(train) [66][ 700/5005] lr: 2.7300e-02 eta: 17:24:42 time: 0.3402 data_time: 0.0053 loss: 1.6558 03/04 08:32:37 - mmengine - INFO - Epoch(train) [66][ 800/5005] lr: 2.7300e-02 eta: 17:24:06 time: 0.3452 data_time: 0.0052 loss: 1.6434 03/04 08:33:13 - mmengine - INFO - Epoch(train) [66][ 900/5005] lr: 2.7300e-02 eta: 17:23:30 time: 0.3564 data_time: 0.0050 loss: 1.5123 03/04 08:33:49 - mmengine - INFO - Epoch(train) [66][1000/5005] lr: 2.7300e-02 eta: 17:22:54 time: 0.3618 data_time: 0.0050 loss: 1.5289 03/04 08:34:24 - mmengine - INFO - Epoch(train) [66][1100/5005] lr: 2.7300e-02 eta: 17:22:17 time: 0.3623 data_time: 0.0052 loss: 1.4285 03/04 08:35:00 - mmengine - INFO - Epoch(train) [66][1200/5005] lr: 2.7300e-02 eta: 17:21:41 time: 0.3484 data_time: 0.0048 loss: 1.5317 03/04 08:35:35 - mmengine - INFO - Epoch(train) [66][1300/5005] lr: 2.7300e-02 eta: 17:21:05 time: 0.3600 data_time: 0.0052 loss: 1.5695 03/04 08:36:11 - mmengine - INFO - Epoch(train) [66][1400/5005] lr: 2.7300e-02 eta: 17:20:29 time: 0.3395 data_time: 0.0050 loss: 1.6006 03/04 08:36:46 - mmengine - INFO - Epoch(train) [66][1500/5005] lr: 2.7300e-02 eta: 17:19:52 time: 0.3378 data_time: 0.0052 loss: 1.5855 03/04 08:37:21 - mmengine - INFO - Epoch(train) [66][1600/5005] lr: 2.7300e-02 eta: 17:19:16 time: 0.3399 data_time: 0.0049 loss: 1.5453 03/04 08:37:48 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 08:37:57 - mmengine - INFO - Epoch(train) [66][1700/5005] lr: 2.7300e-02 eta: 17:18:40 time: 0.3522 data_time: 0.0048 loss: 1.6878 03/04 08:38:32 - mmengine - INFO - Epoch(train) [66][1800/5005] lr: 2.7300e-02 eta: 17:18:04 time: 0.3386 data_time: 0.0050 loss: 1.5636 03/04 08:39:08 - mmengine - INFO - Epoch(train) [66][1900/5005] lr: 2.7300e-02 eta: 17:17:28 time: 0.3646 data_time: 0.0051 loss: 1.4674 03/04 08:39:44 - mmengine - INFO - Epoch(train) [66][2000/5005] lr: 2.7300e-02 eta: 17:16:52 time: 0.3560 data_time: 0.0054 loss: 1.4398 03/04 08:40:19 - mmengine - INFO - Epoch(train) [66][2100/5005] lr: 2.7300e-02 eta: 17:16:15 time: 0.3422 data_time: 0.0052 loss: 1.7049 03/04 08:40:55 - mmengine - INFO - Epoch(train) [66][2200/5005] lr: 2.7300e-02 eta: 17:15:39 time: 0.3525 data_time: 0.0049 loss: 1.7581 03/04 08:41:30 - mmengine - INFO - Epoch(train) [66][2300/5005] lr: 2.7300e-02 eta: 17:15:03 time: 0.3918 data_time: 0.0049 loss: 1.5625 03/04 08:42:05 - mmengine - INFO - Epoch(train) [66][2400/5005] lr: 2.7300e-02 eta: 17:14:26 time: 0.3447 data_time: 0.0051 loss: 1.6173 03/04 08:42:41 - mmengine - INFO - Epoch(train) [66][2500/5005] lr: 2.7300e-02 eta: 17:13:50 time: 0.3530 data_time: 0.0053 loss: 1.6313 03/04 08:43:16 - mmengine - INFO - Epoch(train) [66][2600/5005] lr: 2.7300e-02 eta: 17:13:14 time: 0.3462 data_time: 0.0052 loss: 1.6463 03/04 08:43:43 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 08:43:52 - mmengine - INFO - Epoch(train) [66][2700/5005] lr: 2.7300e-02 eta: 17:12:38 time: 0.3450 data_time: 0.0052 loss: 1.7317 03/04 08:44:27 - mmengine - INFO - Epoch(train) [66][2800/5005] lr: 2.7300e-02 eta: 17:12:02 time: 0.3394 data_time: 0.0050 loss: 1.6223 03/04 08:45:02 - mmengine - INFO - Epoch(train) [66][2900/5005] lr: 2.7300e-02 eta: 17:11:25 time: 0.3448 data_time: 0.0049 loss: 1.5284 03/04 08:45:38 - mmengine - INFO - Epoch(train) [66][3000/5005] lr: 2.7300e-02 eta: 17:10:49 time: 0.3462 data_time: 0.0051 loss: 1.6024 03/04 08:46:14 - mmengine - INFO - Epoch(train) [66][3100/5005] lr: 2.7300e-02 eta: 17:10:13 time: 0.3789 data_time: 0.0051 loss: 1.5585 03/04 08:46:49 - mmengine - INFO - Epoch(train) [66][3200/5005] lr: 2.7300e-02 eta: 17:09:36 time: 0.3560 data_time: 0.0051 loss: 1.4952 03/04 08:47:25 - mmengine - INFO - Epoch(train) [66][3300/5005] lr: 2.7300e-02 eta: 17:09:00 time: 0.3699 data_time: 0.0052 loss: 1.5079 03/04 08:48:00 - mmengine - INFO - Epoch(train) [66][3400/5005] lr: 2.7300e-02 eta: 17:08:24 time: 0.3347 data_time: 0.0054 loss: 1.7109 03/04 08:48:35 - mmengine - INFO - Epoch(train) [66][3500/5005] lr: 2.7300e-02 eta: 17:07:48 time: 0.3529 data_time: 0.0053 loss: 1.8889 03/04 08:49:11 - mmengine - INFO - Epoch(train) [66][3600/5005] lr: 2.7300e-02 eta: 17:07:12 time: 0.3650 data_time: 0.0053 loss: 1.7064 03/04 08:49:38 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 08:49:47 - mmengine - INFO - Epoch(train) [66][3700/5005] lr: 2.7300e-02 eta: 17:06:36 time: 0.3530 data_time: 0.0050 loss: 1.4466 03/04 08:50:22 - mmengine - INFO - Epoch(train) [66][3800/5005] lr: 2.7300e-02 eta: 17:05:59 time: 0.3457 data_time: 0.0049 loss: 1.7257 03/04 08:50:58 - mmengine - INFO - Epoch(train) [66][3900/5005] lr: 2.7300e-02 eta: 17:05:23 time: 0.3558 data_time: 0.0050 loss: 1.6365 03/04 08:51:33 - mmengine - INFO - Epoch(train) [66][4000/5005] lr: 2.7300e-02 eta: 17:04:47 time: 0.3483 data_time: 0.0050 loss: 1.6189 03/04 08:52:09 - mmengine - INFO - Epoch(train) [66][4100/5005] lr: 2.7300e-02 eta: 17:04:11 time: 0.3693 data_time: 0.0052 loss: 1.4809 03/04 08:52:44 - mmengine - INFO - Epoch(train) [66][4200/5005] lr: 2.7300e-02 eta: 17:03:35 time: 0.3493 data_time: 0.0051 loss: 1.5899 03/04 08:53:19 - mmengine - INFO - Epoch(train) [66][4300/5005] lr: 2.7300e-02 eta: 17:02:58 time: 0.3456 data_time: 0.0054 loss: 1.5662 03/04 08:53:55 - mmengine - INFO - Epoch(train) [66][4400/5005] lr: 2.7300e-02 eta: 17:02:22 time: 0.3446 data_time: 0.0049 loss: 1.7642 03/04 08:54:30 - mmengine - INFO - Epoch(train) [66][4500/5005] lr: 2.7300e-02 eta: 17:01:46 time: 0.3549 data_time: 0.0054 loss: 1.6166 03/04 08:55:06 - mmengine - INFO - Epoch(train) [66][4600/5005] lr: 2.7300e-02 eta: 17:01:10 time: 0.3496 data_time: 0.0050 loss: 1.7250 03/04 08:55:32 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 08:55:41 - mmengine - INFO - Epoch(train) [66][4700/5005] lr: 2.7300e-02 eta: 17:00:33 time: 0.3424 data_time: 0.0054 loss: 1.7160 03/04 08:56:17 - mmengine - INFO - Epoch(train) [66][4800/5005] lr: 2.7300e-02 eta: 16:59:57 time: 0.3582 data_time: 0.0051 loss: 1.4631 03/04 08:56:54 - mmengine - INFO - Epoch(train) [66][4900/5005] lr: 2.7300e-02 eta: 16:59:22 time: 0.4175 data_time: 0.0059 loss: 1.5625 03/04 08:57:37 - mmengine - INFO - Epoch(train) [66][5000/5005] lr: 2.7300e-02 eta: 16:58:49 time: 0.4466 data_time: 0.0055 loss: 1.5691 03/04 08:57:39 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 08:57:42 - mmengine - INFO - Saving checkpoint at 66 epochs 03/04 08:57:59 - mmengine - INFO - Epoch(val) [66][100/196] eta: 0:00:15 time: 0.0544 data_time: 0.0003 03/04 08:58:16 - mmengine - INFO - Epoch(val) [66][196/196] accuracy/top1: 66.2320 accuracy/top5: 87.7080 03/04 08:59:00 - mmengine - INFO - Epoch(train) [67][ 100/5005] lr: 2.5912e-02 eta: 16:58:16 time: 0.3495 data_time: 0.0048 loss: 1.5555 03/04 08:59:36 - mmengine - INFO - Epoch(train) [67][ 200/5005] lr: 2.5912e-02 eta: 16:57:40 time: 0.3542 data_time: 0.0055 loss: 1.3114 03/04 09:00:11 - mmengine - INFO - Epoch(train) [67][ 300/5005] lr: 2.5912e-02 eta: 16:57:04 time: 0.3455 data_time: 0.0052 loss: 1.5910 03/04 09:00:47 - mmengine - INFO - Epoch(train) [67][ 400/5005] lr: 2.5912e-02 eta: 16:56:28 time: 0.3508 data_time: 0.0051 loss: 1.4977 03/04 09:01:23 - mmengine - INFO - Epoch(train) [67][ 500/5005] lr: 2.5912e-02 eta: 16:55:52 time: 0.3508 data_time: 0.0052 loss: 1.3781 03/04 09:01:59 - mmengine - INFO - Epoch(train) [67][ 600/5005] lr: 2.5912e-02 eta: 16:55:16 time: 0.3664 data_time: 0.0055 loss: 1.6517 03/04 09:02:24 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 09:02:34 - mmengine - INFO - Epoch(train) [67][ 700/5005] lr: 2.5912e-02 eta: 16:54:39 time: 0.3446 data_time: 0.0054 loss: 1.5631 03/04 09:03:10 - mmengine - INFO - Epoch(train) [67][ 800/5005] lr: 2.5912e-02 eta: 16:54:03 time: 0.3426 data_time: 0.0053 loss: 1.4762 03/04 09:03:46 - mmengine - INFO - Epoch(train) [67][ 900/5005] lr: 2.5912e-02 eta: 16:53:27 time: 0.3637 data_time: 0.0054 loss: 1.5438 03/04 09:04:21 - mmengine - INFO - Epoch(train) [67][1000/5005] lr: 2.5912e-02 eta: 16:52:51 time: 0.3647 data_time: 0.0052 loss: 1.5326 03/04 09:04:57 - mmengine - INFO - Epoch(train) [67][1100/5005] lr: 2.5912e-02 eta: 16:52:15 time: 0.3700 data_time: 0.0052 loss: 1.5938 03/04 09:05:33 - mmengine - INFO - Epoch(train) [67][1200/5005] lr: 2.5912e-02 eta: 16:51:39 time: 0.3683 data_time: 0.0053 loss: 1.7893 03/04 09:06:08 - mmengine - INFO - Epoch(train) [67][1300/5005] lr: 2.5912e-02 eta: 16:51:03 time: 0.3689 data_time: 0.0052 loss: 1.3538 03/04 09:06:44 - mmengine - INFO - Epoch(train) [67][1400/5005] lr: 2.5912e-02 eta: 16:50:27 time: 0.3466 data_time: 0.0050 loss: 1.5621 03/04 09:07:20 - mmengine - INFO - Epoch(train) [67][1500/5005] lr: 2.5912e-02 eta: 16:49:51 time: 0.3548 data_time: 0.0051 loss: 1.5652 03/04 09:07:55 - mmengine - INFO - Epoch(train) [67][1600/5005] lr: 2.5912e-02 eta: 16:49:14 time: 0.3514 data_time: 0.0052 loss: 1.6569 03/04 09:08:20 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 09:08:31 - mmengine - INFO - Epoch(train) [67][1700/5005] lr: 2.5912e-02 eta: 16:48:38 time: 0.3724 data_time: 0.0054 loss: 1.4950 03/04 09:09:07 - mmengine - INFO - Epoch(train) [67][1800/5005] lr: 2.5912e-02 eta: 16:48:02 time: 0.3696 data_time: 0.0052 loss: 1.5547 03/04 09:09:42 - mmengine - INFO - Epoch(train) [67][1900/5005] lr: 2.5912e-02 eta: 16:47:26 time: 0.3632 data_time: 0.0051 loss: 1.5980 03/04 09:10:18 - mmengine - INFO - Epoch(train) [67][2000/5005] lr: 2.5912e-02 eta: 16:46:50 time: 0.3576 data_time: 0.0050 loss: 1.5266 03/04 09:10:53 - mmengine - INFO - Epoch(train) [67][2100/5005] lr: 2.5912e-02 eta: 16:46:14 time: 0.3430 data_time: 0.0053 loss: 1.7618 03/04 09:11:29 - mmengine - INFO - Epoch(train) [67][2200/5005] lr: 2.5912e-02 eta: 16:45:38 time: 0.3491 data_time: 0.0050 loss: 1.6053 03/04 09:12:04 - mmengine - INFO - Epoch(train) [67][2300/5005] lr: 2.5912e-02 eta: 16:45:01 time: 0.3515 data_time: 0.0053 loss: 1.5344 03/04 09:12:40 - mmengine - INFO - Epoch(train) [67][2400/5005] lr: 2.5912e-02 eta: 16:44:25 time: 0.3462 data_time: 0.0055 loss: 1.4581 03/04 09:13:16 - mmengine - INFO - Epoch(train) [67][2500/5005] lr: 2.5912e-02 eta: 16:43:49 time: 0.3572 data_time: 0.0057 loss: 1.4550 03/04 09:13:51 - mmengine - INFO - Epoch(train) [67][2600/5005] lr: 2.5912e-02 eta: 16:43:13 time: 0.3416 data_time: 0.0051 loss: 1.5637 03/04 09:14:16 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 09:14:27 - mmengine - INFO - Epoch(train) [67][2700/5005] lr: 2.5912e-02 eta: 16:42:37 time: 0.3596 data_time: 0.0050 loss: 1.5958 03/04 09:15:02 - mmengine - INFO - Epoch(train) [67][2800/5005] lr: 2.5912e-02 eta: 16:42:00 time: 0.3459 data_time: 0.0051 loss: 1.8238 03/04 09:15:37 - mmengine - INFO - Epoch(train) [67][2900/5005] lr: 2.5912e-02 eta: 16:41:24 time: 0.3448 data_time: 0.0052 loss: 1.4523 03/04 09:16:13 - mmengine - INFO - Epoch(train) [67][3000/5005] lr: 2.5912e-02 eta: 16:40:48 time: 0.3629 data_time: 0.0051 loss: 1.6009 03/04 09:16:49 - mmengine - INFO - Epoch(train) [67][3100/5005] lr: 2.5912e-02 eta: 16:40:12 time: 0.3725 data_time: 0.0049 loss: 1.5829 03/04 09:17:24 - mmengine - INFO - Epoch(train) [67][3200/5005] lr: 2.5912e-02 eta: 16:39:36 time: 0.3509 data_time: 0.0051 loss: 1.7763 03/04 09:18:00 - mmengine - INFO - Epoch(train) [67][3300/5005] lr: 2.5912e-02 eta: 16:39:00 time: 0.3504 data_time: 0.0056 loss: 1.5275 03/04 09:18:35 - mmengine - INFO - Epoch(train) [67][3400/5005] lr: 2.5912e-02 eta: 16:38:24 time: 0.3525 data_time: 0.0056 loss: 1.7212 03/04 09:19:11 - mmengine - INFO - Epoch(train) [67][3500/5005] lr: 2.5912e-02 eta: 16:37:48 time: 0.3735 data_time: 0.0054 loss: 1.4512 03/04 09:19:47 - mmengine - INFO - Epoch(train) [67][3600/5005] lr: 2.5912e-02 eta: 16:37:11 time: 0.3506 data_time: 0.0053 loss: 1.7283 03/04 09:20:12 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 09:20:22 - mmengine - INFO - Epoch(train) [67][3700/5005] lr: 2.5912e-02 eta: 16:36:35 time: 0.3520 data_time: 0.0054 loss: 1.5874 03/04 09:20:58 - mmengine - INFO - Epoch(train) [67][3800/5005] lr: 2.5912e-02 eta: 16:35:59 time: 0.3693 data_time: 0.0051 loss: 1.7441 03/04 09:21:33 - mmengine - INFO - Epoch(train) [67][3900/5005] lr: 2.5912e-02 eta: 16:35:23 time: 0.3469 data_time: 0.0051 loss: 1.6188 03/04 09:22:09 - mmengine - INFO - Epoch(train) [67][4000/5005] lr: 2.5912e-02 eta: 16:34:47 time: 0.3624 data_time: 0.0051 loss: 1.7342 03/04 09:22:44 - mmengine - INFO - Epoch(train) [67][4100/5005] lr: 2.5912e-02 eta: 16:34:11 time: 0.3468 data_time: 0.0052 loss: 1.6925 03/04 09:23:20 - mmengine - INFO - Epoch(train) [67][4200/5005] lr: 2.5912e-02 eta: 16:33:34 time: 0.3444 data_time: 0.0058 loss: 1.7121 03/04 09:23:56 - mmengine - INFO - Epoch(train) [67][4300/5005] lr: 2.5912e-02 eta: 16:32:58 time: 0.3683 data_time: 0.0051 loss: 1.4569 03/04 09:24:31 - mmengine - INFO - Epoch(train) [67][4400/5005] lr: 2.5912e-02 eta: 16:32:22 time: 0.3701 data_time: 0.0053 loss: 1.7191 03/04 09:25:06 - mmengine - INFO - Epoch(train) [67][4500/5005] lr: 2.5912e-02 eta: 16:31:45 time: 0.3510 data_time: 0.0050 loss: 1.4861 03/04 09:25:42 - mmengine - INFO - Epoch(train) [67][4600/5005] lr: 2.5912e-02 eta: 16:31:09 time: 0.3593 data_time: 0.0053 loss: 1.4916 03/04 09:26:06 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 09:26:16 - mmengine - INFO - Epoch(train) [67][4700/5005] lr: 2.5912e-02 eta: 16:30:33 time: 0.3483 data_time: 0.0051 loss: 1.6954 03/04 09:26:52 - mmengine - INFO - Epoch(train) [67][4800/5005] lr: 2.5912e-02 eta: 16:29:57 time: 0.3544 data_time: 0.0052 loss: 1.5551 03/04 09:27:29 - mmengine - INFO - Epoch(train) [67][4900/5005] lr: 2.5912e-02 eta: 16:29:21 time: 0.4031 data_time: 0.0055 loss: 1.5268 03/04 09:28:13 - mmengine - INFO - Epoch(train) [67][5000/5005] lr: 2.5912e-02 eta: 16:28:49 time: 0.4437 data_time: 0.0055 loss: 1.6062 03/04 09:28:15 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 09:28:18 - mmengine - INFO - Saving checkpoint at 67 epochs 03/04 09:28:35 - mmengine - INFO - Epoch(val) [67][100/196] eta: 0:00:15 time: 0.0441 data_time: 0.0003 03/04 09:28:52 - mmengine - INFO - Epoch(val) [67][196/196] accuracy/top1: 67.2460 accuracy/top5: 88.2240 03/04 09:29:38 - mmengine - INFO - Epoch(train) [68][ 100/5005] lr: 2.4548e-02 eta: 16:28:16 time: 0.3463 data_time: 0.0050 loss: 1.5189 03/04 09:30:14 - mmengine - INFO - Epoch(train) [68][ 200/5005] lr: 2.4548e-02 eta: 16:27:40 time: 0.3446 data_time: 0.0053 loss: 1.4384 03/04 09:30:50 - mmengine - INFO - Epoch(train) [68][ 300/5005] lr: 2.4548e-02 eta: 16:27:04 time: 0.3441 data_time: 0.0055 loss: 1.6840 03/04 09:31:26 - mmengine - INFO - Epoch(train) [68][ 400/5005] lr: 2.4548e-02 eta: 16:26:28 time: 0.3470 data_time: 0.0052 loss: 1.3725 03/04 09:32:01 - mmengine - INFO - Epoch(train) [68][ 500/5005] lr: 2.4548e-02 eta: 16:25:52 time: 0.4081 data_time: 0.0053 loss: 1.5863 03/04 09:32:36 - mmengine - INFO - Epoch(train) [68][ 600/5005] lr: 2.4548e-02 eta: 16:25:16 time: 0.3598 data_time: 0.0050 loss: 1.4933 03/04 09:33:00 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 09:33:12 - mmengine - INFO - Epoch(train) [68][ 700/5005] lr: 2.4548e-02 eta: 16:24:40 time: 0.3717 data_time: 0.0049 loss: 1.5389 03/04 09:33:47 - mmengine - INFO - Epoch(train) [68][ 800/5005] lr: 2.4548e-02 eta: 16:24:04 time: 0.3540 data_time: 0.0053 loss: 1.6757 03/04 09:34:24 - mmengine - INFO - Epoch(train) [68][ 900/5005] lr: 2.4548e-02 eta: 16:23:28 time: 0.3513 data_time: 0.0050 loss: 1.5907 03/04 09:34:59 - mmengine - INFO - Epoch(train) [68][1000/5005] lr: 2.4548e-02 eta: 16:22:52 time: 0.3671 data_time: 0.0049 loss: 1.6821 03/04 09:35:34 - mmengine - INFO - Epoch(train) [68][1100/5005] lr: 2.4548e-02 eta: 16:22:15 time: 0.3493 data_time: 0.0051 loss: 1.4326 03/04 09:36:10 - mmengine - INFO - Epoch(train) [68][1200/5005] lr: 2.4548e-02 eta: 16:21:39 time: 0.3543 data_time: 0.0051 loss: 1.7774 03/04 09:36:45 - mmengine - INFO - Epoch(train) [68][1300/5005] lr: 2.4548e-02 eta: 16:21:03 time: 0.3764 data_time: 0.0051 loss: 1.5226 03/04 09:37:21 - mmengine - INFO - Epoch(train) [68][1400/5005] lr: 2.4548e-02 eta: 16:20:27 time: 0.3520 data_time: 0.0053 loss: 1.3846 03/04 09:37:57 - mmengine - INFO - Epoch(train) [68][1500/5005] lr: 2.4548e-02 eta: 16:19:51 time: 0.3658 data_time: 0.0049 loss: 1.7278 03/04 09:38:32 - mmengine - INFO - Epoch(train) [68][1600/5005] lr: 2.4548e-02 eta: 16:19:14 time: 0.3416 data_time: 0.0051 loss: 1.4588 03/04 09:38:56 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 09:39:08 - mmengine - INFO - Epoch(train) [68][1700/5005] lr: 2.4548e-02 eta: 16:18:38 time: 0.3508 data_time: 0.0051 loss: 1.4915 03/04 09:39:43 - mmengine - INFO - Epoch(train) [68][1800/5005] lr: 2.4548e-02 eta: 16:18:02 time: 0.3613 data_time: 0.0052 loss: 1.6487 03/04 09:40:19 - mmengine - INFO - Epoch(train) [68][1900/5005] lr: 2.4548e-02 eta: 16:17:26 time: 0.3365 data_time: 0.0053 loss: 1.7120 03/04 09:40:55 - mmengine - INFO - Epoch(train) [68][2000/5005] lr: 2.4548e-02 eta: 16:16:50 time: 0.3501 data_time: 0.0054 loss: 1.7876 03/04 09:41:30 - mmengine - INFO - Epoch(train) [68][2100/5005] lr: 2.4548e-02 eta: 16:16:14 time: 0.3633 data_time: 0.0053 loss: 1.5569 03/04 09:42:06 - mmengine - INFO - Epoch(train) [68][2200/5005] lr: 2.4548e-02 eta: 16:15:38 time: 0.3496 data_time: 0.0054 loss: 1.7810 03/04 09:42:41 - mmengine - INFO - Epoch(train) [68][2300/5005] lr: 2.4548e-02 eta: 16:15:01 time: 0.3741 data_time: 0.0050 loss: 1.6471 03/04 09:43:16 - mmengine - INFO - Epoch(train) [68][2400/5005] lr: 2.4548e-02 eta: 16:14:25 time: 0.3514 data_time: 0.0051 loss: 1.8088 03/04 09:43:52 - mmengine - INFO - Epoch(train) [68][2500/5005] lr: 2.4548e-02 eta: 16:13:49 time: 0.3591 data_time: 0.0054 loss: 1.4885 03/04 09:44:28 - mmengine - INFO - Epoch(train) [68][2600/5005] lr: 2.4548e-02 eta: 16:13:13 time: 0.3768 data_time: 0.0051 loss: 1.5977 03/04 09:44:51 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 09:45:03 - mmengine - INFO - Epoch(train) [68][2700/5005] lr: 2.4548e-02 eta: 16:12:37 time: 0.3477 data_time: 0.0057 loss: 1.3775 03/04 09:45:39 - mmengine - INFO - Epoch(train) [68][2800/5005] lr: 2.4548e-02 eta: 16:12:01 time: 0.3566 data_time: 0.0053 loss: 1.5039 03/04 09:46:14 - mmengine - INFO - Epoch(train) [68][2900/5005] lr: 2.4548e-02 eta: 16:11:24 time: 0.3610 data_time: 0.0058 loss: 1.7769 03/04 09:46:50 - mmengine - INFO - Epoch(train) [68][3000/5005] lr: 2.4548e-02 eta: 16:10:48 time: 0.3583 data_time: 0.0050 loss: 1.5510 03/04 09:47:25 - mmengine - INFO - Epoch(train) [68][3100/5005] lr: 2.4548e-02 eta: 16:10:12 time: 0.3610 data_time: 0.0050 loss: 1.5133 03/04 09:48:00 - mmengine - INFO - Epoch(train) [68][3200/5005] lr: 2.4548e-02 eta: 16:09:36 time: 0.3595 data_time: 0.0052 loss: 1.4970 03/04 09:48:36 - mmengine - INFO - Epoch(train) [68][3300/5005] lr: 2.4548e-02 eta: 16:09:00 time: 0.3472 data_time: 0.0053 loss: 1.6439 03/04 09:49:12 - mmengine - INFO - Epoch(train) [68][3400/5005] lr: 2.4548e-02 eta: 16:08:23 time: 0.3644 data_time: 0.0053 loss: 1.7043 03/04 09:49:47 - mmengine - INFO - Epoch(train) [68][3500/5005] lr: 2.4548e-02 eta: 16:07:47 time: 0.3520 data_time: 0.0055 loss: 1.5846 03/04 09:50:23 - mmengine - INFO - Epoch(train) [68][3600/5005] lr: 2.4548e-02 eta: 16:07:11 time: 0.3418 data_time: 0.0050 loss: 1.5452 03/04 09:50:45 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 09:50:58 - mmengine - INFO - Epoch(train) [68][3700/5005] lr: 2.4548e-02 eta: 16:06:35 time: 0.3697 data_time: 0.0050 loss: 1.6305 03/04 09:51:34 - mmengine - INFO - Epoch(train) [68][3800/5005] lr: 2.4548e-02 eta: 16:05:59 time: 0.3443 data_time: 0.0051 loss: 1.5338 03/04 09:52:09 - mmengine - INFO - Epoch(train) [68][3900/5005] lr: 2.4548e-02 eta: 16:05:23 time: 0.3704 data_time: 0.0051 loss: 1.7740 03/04 09:52:45 - mmengine - INFO - Epoch(train) [68][4000/5005] lr: 2.4548e-02 eta: 16:04:46 time: 0.3504 data_time: 0.0049 loss: 1.4680 03/04 09:53:21 - mmengine - INFO - Epoch(train) [68][4100/5005] lr: 2.4548e-02 eta: 16:04:10 time: 0.3497 data_time: 0.0051 loss: 1.7263 03/04 09:53:56 - mmengine - INFO - Epoch(train) [68][4200/5005] lr: 2.4548e-02 eta: 16:03:34 time: 0.3492 data_time: 0.0053 loss: 1.5847 03/04 09:54:31 - mmengine - INFO - Epoch(train) [68][4300/5005] lr: 2.4548e-02 eta: 16:02:58 time: 0.3470 data_time: 0.0051 loss: 1.4629 03/04 09:55:07 - mmengine - INFO - Epoch(train) [68][4400/5005] lr: 2.4548e-02 eta: 16:02:22 time: 0.3630 data_time: 0.0052 loss: 1.5541 03/04 09:55:42 - mmengine - INFO - Epoch(train) [68][4500/5005] lr: 2.4548e-02 eta: 16:01:45 time: 0.3480 data_time: 0.0051 loss: 1.6766 03/04 09:56:18 - mmengine - INFO - Epoch(train) [68][4600/5005] lr: 2.4548e-02 eta: 16:01:09 time: 0.3507 data_time: 0.0051 loss: 1.7812 03/04 09:56:41 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 09:56:53 - mmengine - INFO - Epoch(train) [68][4700/5005] lr: 2.4548e-02 eta: 16:00:33 time: 0.3479 data_time: 0.0051 loss: 1.6840 03/04 09:57:28 - mmengine - INFO - Epoch(train) [68][4800/5005] lr: 2.4548e-02 eta: 15:59:57 time: 0.3555 data_time: 0.0053 loss: 1.6926 03/04 09:58:06 - mmengine - INFO - Epoch(train) [68][4900/5005] lr: 2.4548e-02 eta: 15:59:22 time: 0.4507 data_time: 0.0058 loss: 1.3063 03/04 09:58:48 - mmengine - INFO - Epoch(train) [68][5000/5005] lr: 2.4548e-02 eta: 15:58:49 time: 0.4494 data_time: 0.0057 loss: 1.6428 03/04 09:58:50 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 09:58:53 - mmengine - INFO - Saving checkpoint at 68 epochs 03/04 09:59:11 - mmengine - INFO - Epoch(val) [68][100/196] eta: 0:00:15 time: 0.0439 data_time: 0.0004 03/04 09:59:27 - mmengine - INFO - Epoch(val) [68][196/196] accuracy/top1: 67.5900 accuracy/top5: 88.5400 03/04 10:00:11 - mmengine - INFO - Epoch(train) [69][ 100/5005] lr: 2.3209e-02 eta: 15:58:15 time: 0.3499 data_time: 0.0052 loss: 1.4826 03/04 10:00:47 - mmengine - INFO - Epoch(train) [69][ 200/5005] lr: 2.3209e-02 eta: 15:57:39 time: 0.3541 data_time: 0.0055 loss: 1.5036 03/04 10:01:23 - mmengine - INFO - Epoch(train) [69][ 300/5005] lr: 2.3209e-02 eta: 15:57:03 time: 0.3691 data_time: 0.0053 loss: 1.5559 03/04 10:01:59 - mmengine - INFO - Epoch(train) [69][ 400/5005] lr: 2.3209e-02 eta: 15:56:27 time: 0.3463 data_time: 0.0055 loss: 1.6165 03/04 10:02:35 - mmengine - INFO - Epoch(train) [69][ 500/5005] lr: 2.3209e-02 eta: 15:55:51 time: 0.3733 data_time: 0.0051 loss: 1.5263 03/04 10:03:10 - mmengine - INFO - Epoch(train) [69][ 600/5005] lr: 2.3209e-02 eta: 15:55:15 time: 0.3578 data_time: 0.0055 loss: 1.6577 03/04 10:03:32 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 10:03:46 - mmengine - INFO - Epoch(train) [69][ 700/5005] lr: 2.3209e-02 eta: 15:54:38 time: 0.3603 data_time: 0.0050 loss: 1.4979 03/04 10:04:21 - mmengine - INFO - Epoch(train) [69][ 800/5005] lr: 2.3209e-02 eta: 15:54:02 time: 0.3481 data_time: 0.0053 loss: 1.7079 03/04 10:04:57 - mmengine - INFO - Epoch(train) [69][ 900/5005] lr: 2.3209e-02 eta: 15:53:26 time: 0.3668 data_time: 0.0054 loss: 1.3791 03/04 10:05:33 - mmengine - INFO - Epoch(train) [69][1000/5005] lr: 2.3209e-02 eta: 15:52:50 time: 0.3643 data_time: 0.0052 loss: 1.5048 03/04 10:06:08 - mmengine - INFO - Epoch(train) [69][1100/5005] lr: 2.3209e-02 eta: 15:52:14 time: 0.3466 data_time: 0.0051 loss: 1.4549 03/04 10:06:44 - mmengine - INFO - Epoch(train) [69][1200/5005] lr: 2.3209e-02 eta: 15:51:38 time: 0.3503 data_time: 0.0050 loss: 1.5381 03/04 10:07:20 - mmengine - INFO - Epoch(train) [69][1300/5005] lr: 2.3209e-02 eta: 15:51:02 time: 0.3422 data_time: 0.0053 loss: 1.4474 03/04 10:07:55 - mmengine - INFO - Epoch(train) [69][1400/5005] lr: 2.3209e-02 eta: 15:50:26 time: 0.3466 data_time: 0.0051 loss: 1.6343 03/04 10:08:31 - mmengine - INFO - Epoch(train) [69][1500/5005] lr: 2.3209e-02 eta: 15:49:50 time: 0.3537 data_time: 0.0050 loss: 1.5730 03/04 10:09:06 - mmengine - INFO - Epoch(train) [69][1600/5005] lr: 2.3209e-02 eta: 15:49:13 time: 0.3403 data_time: 0.0052 loss: 1.7039 03/04 10:09:28 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 10:09:42 - mmengine - INFO - Epoch(train) [69][1700/5005] lr: 2.3209e-02 eta: 15:48:37 time: 0.3401 data_time: 0.0052 loss: 1.5291 03/04 10:10:17 - mmengine - INFO - Epoch(train) [69][1800/5005] lr: 2.3209e-02 eta: 15:48:01 time: 0.3412 data_time: 0.0053 loss: 1.5707 03/04 10:10:53 - mmengine - INFO - Epoch(train) [69][1900/5005] lr: 2.3209e-02 eta: 15:47:25 time: 0.3579 data_time: 0.0052 loss: 1.5711 03/04 10:11:28 - mmengine - INFO - Epoch(train) [69][2000/5005] lr: 2.3209e-02 eta: 15:46:48 time: 0.3474 data_time: 0.0049 loss: 1.5977 03/04 10:12:04 - mmengine - INFO - Epoch(train) [69][2100/5005] lr: 2.3209e-02 eta: 15:46:12 time: 0.3665 data_time: 0.0053 loss: 1.6265 03/04 10:12:40 - mmengine - INFO - Epoch(train) [69][2200/5005] lr: 2.3209e-02 eta: 15:45:36 time: 0.3568 data_time: 0.0053 loss: 1.5071 03/04 10:13:16 - mmengine - INFO - Epoch(train) [69][2300/5005] lr: 2.3209e-02 eta: 15:45:01 time: 0.3688 data_time: 0.0053 loss: 1.4456 03/04 10:13:51 - mmengine - INFO - Epoch(train) [69][2400/5005] lr: 2.3209e-02 eta: 15:44:24 time: 0.3689 data_time: 0.0050 loss: 1.5664 03/04 10:14:27 - mmengine - INFO - Epoch(train) [69][2500/5005] lr: 2.3209e-02 eta: 15:43:48 time: 0.3568 data_time: 0.0052 loss: 1.6021 03/04 10:15:02 - mmengine - INFO - Epoch(train) [69][2600/5005] lr: 2.3209e-02 eta: 15:43:12 time: 0.3679 data_time: 0.0051 loss: 1.4764 03/04 10:15:24 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 10:15:37 - mmengine - INFO - Epoch(train) [69][2700/5005] lr: 2.3209e-02 eta: 15:42:36 time: 0.3430 data_time: 0.0053 loss: 1.6685 03/04 10:16:13 - mmengine - INFO - Epoch(train) [69][2800/5005] lr: 2.3209e-02 eta: 15:42:00 time: 0.3455 data_time: 0.0051 loss: 1.5132 03/04 10:16:49 - mmengine - INFO - Epoch(train) [69][2900/5005] lr: 2.3209e-02 eta: 15:41:23 time: 0.3591 data_time: 0.0055 loss: 1.7646 03/04 10:17:24 - mmengine - INFO - Epoch(train) [69][3000/5005] lr: 2.3209e-02 eta: 15:40:47 time: 0.3443 data_time: 0.0053 loss: 1.6222 03/04 10:18:00 - mmengine - INFO - Epoch(train) [69][3100/5005] lr: 2.3209e-02 eta: 15:40:11 time: 0.3817 data_time: 0.0051 loss: 1.5426 03/04 10:18:36 - mmengine - INFO - Epoch(train) [69][3200/5005] lr: 2.3209e-02 eta: 15:39:35 time: 0.3432 data_time: 0.0052 loss: 1.3994 03/04 10:19:11 - mmengine - INFO - Epoch(train) [69][3300/5005] lr: 2.3209e-02 eta: 15:38:59 time: 0.3424 data_time: 0.0052 loss: 1.5065 03/04 10:19:46 - mmengine - INFO - Epoch(train) [69][3400/5005] lr: 2.3209e-02 eta: 15:38:23 time: 0.3481 data_time: 0.0051 loss: 1.4563 03/04 10:20:22 - mmengine - INFO - Epoch(train) [69][3500/5005] lr: 2.3209e-02 eta: 15:37:46 time: 0.3542 data_time: 0.0054 loss: 1.5255 03/04 10:20:57 - mmengine - INFO - Epoch(train) [69][3600/5005] lr: 2.3209e-02 eta: 15:37:10 time: 0.3458 data_time: 0.0050 loss: 1.5856 03/04 10:21:18 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 10:21:33 - mmengine - INFO - Epoch(train) [69][3700/5005] lr: 2.3209e-02 eta: 15:36:34 time: 0.3629 data_time: 0.0050 loss: 1.7230 03/04 10:22:08 - mmengine - INFO - Epoch(train) [69][3800/5005] lr: 2.3209e-02 eta: 15:35:58 time: 0.3376 data_time: 0.0052 loss: 1.7055 03/04 10:22:43 - mmengine - INFO - Epoch(train) [69][3900/5005] lr: 2.3209e-02 eta: 15:35:22 time: 0.3615 data_time: 0.0054 loss: 1.6899 03/04 10:23:19 - mmengine - INFO - Epoch(train) [69][4000/5005] lr: 2.3209e-02 eta: 15:34:45 time: 0.3459 data_time: 0.0051 loss: 1.7433 03/04 10:23:54 - mmengine - INFO - Epoch(train) [69][4100/5005] lr: 2.3209e-02 eta: 15:34:09 time: 0.3421 data_time: 0.0051 loss: 1.5606 03/04 10:24:30 - mmengine - INFO - Epoch(train) [69][4200/5005] lr: 2.3209e-02 eta: 15:33:33 time: 0.3641 data_time: 0.0053 loss: 1.8036 03/04 10:25:06 - mmengine - INFO - Epoch(train) [69][4300/5005] lr: 2.3209e-02 eta: 15:32:57 time: 0.3652 data_time: 0.0051 loss: 1.6770 03/04 10:25:41 - mmengine - INFO - Epoch(train) [69][4400/5005] lr: 2.3209e-02 eta: 15:32:21 time: 0.3870 data_time: 0.0054 loss: 1.6065 03/04 10:26:17 - mmengine - INFO - Epoch(train) [69][4500/5005] lr: 2.3209e-02 eta: 15:31:45 time: 0.3336 data_time: 0.0052 loss: 1.7432 03/04 10:26:52 - mmengine - INFO - Epoch(train) [69][4600/5005] lr: 2.3209e-02 eta: 15:31:09 time: 0.3511 data_time: 0.0052 loss: 1.6196 03/04 10:27:14 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 10:27:28 - mmengine - INFO - Epoch(train) [69][4700/5005] lr: 2.3209e-02 eta: 15:30:33 time: 0.3464 data_time: 0.0052 loss: 1.5425 03/04 10:28:03 - mmengine - INFO - Epoch(train) [69][4800/5005] lr: 2.3209e-02 eta: 15:29:56 time: 0.3438 data_time: 0.0050 loss: 1.5466 03/04 10:28:40 - mmengine - INFO - Epoch(train) [69][4900/5005] lr: 2.3209e-02 eta: 15:29:21 time: 0.3728 data_time: 0.0052 loss: 1.6656 03/04 10:29:22 - mmengine - INFO - Epoch(train) [69][5000/5005] lr: 2.3209e-02 eta: 15:28:48 time: 0.4141 data_time: 0.0053 loss: 1.4519 03/04 10:29:25 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 10:29:28 - mmengine - INFO - Saving checkpoint at 69 epochs 03/04 10:29:45 - mmengine - INFO - Epoch(val) [69][100/196] eta: 0:00:15 time: 0.0453 data_time: 0.0003 03/04 10:30:02 - mmengine - INFO - Epoch(val) [69][196/196] accuracy/top1: 68.2500 accuracy/top5: 88.7700 03/04 10:30:47 - mmengine - INFO - Epoch(train) [70][ 100/5005] lr: 2.1896e-02 eta: 15:28:14 time: 0.3676 data_time: 0.0058 loss: 1.3929 03/04 10:31:23 - mmengine - INFO - Epoch(train) [70][ 200/5005] lr: 2.1896e-02 eta: 15:27:38 time: 0.3420 data_time: 0.0058 loss: 1.4474 03/04 10:31:59 - mmengine - INFO - Epoch(train) [70][ 300/5005] lr: 2.1896e-02 eta: 15:27:02 time: 0.3475 data_time: 0.0053 loss: 1.5625 03/04 10:32:35 - mmengine - INFO - Epoch(train) [70][ 400/5005] lr: 2.1896e-02 eta: 15:26:26 time: 0.3488 data_time: 0.0051 loss: 1.6028 03/04 10:33:10 - mmengine - INFO - Epoch(train) [70][ 500/5005] lr: 2.1896e-02 eta: 15:25:50 time: 0.3658 data_time: 0.0052 loss: 1.4080 03/04 10:33:46 - mmengine - INFO - Epoch(train) [70][ 600/5005] lr: 2.1896e-02 eta: 15:25:14 time: 0.3547 data_time: 0.0057 loss: 1.5641 03/04 10:34:06 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 10:34:22 - mmengine - INFO - Epoch(train) [70][ 700/5005] lr: 2.1896e-02 eta: 15:24:38 time: 0.3613 data_time: 0.0055 loss: 1.5993 03/04 10:34:57 - mmengine - INFO - Epoch(train) [70][ 800/5005] lr: 2.1896e-02 eta: 15:24:02 time: 0.3608 data_time: 0.0053 loss: 1.5499 03/04 10:35:33 - mmengine - INFO - Epoch(train) [70][ 900/5005] lr: 2.1896e-02 eta: 15:23:26 time: 0.3619 data_time: 0.0051 loss: 1.4606 03/04 10:36:08 - mmengine - INFO - Epoch(train) [70][1000/5005] lr: 2.1896e-02 eta: 15:22:50 time: 0.3476 data_time: 0.0054 loss: 1.5352 03/04 10:36:44 - mmengine - INFO - Epoch(train) [70][1100/5005] lr: 2.1896e-02 eta: 15:22:14 time: 0.3478 data_time: 0.0053 loss: 1.3741 03/04 10:37:20 - mmengine - INFO - Epoch(train) [70][1200/5005] lr: 2.1896e-02 eta: 15:21:38 time: 0.3553 data_time: 0.0056 loss: 1.4683 03/04 10:37:55 - mmengine - INFO - Epoch(train) [70][1300/5005] lr: 2.1896e-02 eta: 15:21:01 time: 0.3475 data_time: 0.0052 loss: 1.5365 03/04 10:38:31 - mmengine - INFO - Epoch(train) [70][1400/5005] lr: 2.1896e-02 eta: 15:20:25 time: 0.3719 data_time: 0.0052 loss: 1.5297 03/04 10:39:07 - mmengine - INFO - Epoch(train) [70][1500/5005] lr: 2.1896e-02 eta: 15:19:49 time: 0.4016 data_time: 0.0055 loss: 1.4961 03/04 10:39:43 - mmengine - INFO - Epoch(train) [70][1600/5005] lr: 2.1896e-02 eta: 15:19:13 time: 0.3515 data_time: 0.0055 loss: 1.4195 03/04 10:40:03 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 10:40:18 - mmengine - INFO - Epoch(train) [70][1700/5005] lr: 2.1896e-02 eta: 15:18:37 time: 0.3408 data_time: 0.0055 loss: 1.3663 03/04 10:40:54 - mmengine - INFO - Epoch(train) [70][1800/5005] lr: 2.1896e-02 eta: 15:18:01 time: 0.3873 data_time: 0.0053 loss: 1.5916 03/04 10:41:30 - mmengine - INFO - Epoch(train) [70][1900/5005] lr: 2.1896e-02 eta: 15:17:25 time: 0.3433 data_time: 0.0051 loss: 1.5965 03/04 10:42:06 - mmengine - INFO - Epoch(train) [70][2000/5005] lr: 2.1896e-02 eta: 15:16:49 time: 0.3440 data_time: 0.0053 loss: 1.8129 03/04 10:42:42 - mmengine - INFO - Epoch(train) [70][2100/5005] lr: 2.1896e-02 eta: 15:16:13 time: 0.3499 data_time: 0.0053 loss: 1.5559 03/04 10:43:17 - mmengine - INFO - Epoch(train) [70][2200/5005] lr: 2.1896e-02 eta: 15:15:37 time: 0.3501 data_time: 0.0053 loss: 1.6134 03/04 10:43:53 - mmengine - INFO - Epoch(train) [70][2300/5005] lr: 2.1896e-02 eta: 15:15:01 time: 0.4075 data_time: 0.0049 loss: 1.5312 03/04 10:44:28 - mmengine - INFO - Epoch(train) [70][2400/5005] lr: 2.1896e-02 eta: 15:14:25 time: 0.3540 data_time: 0.0051 loss: 1.5116 03/04 10:45:04 - mmengine - INFO - Epoch(train) [70][2500/5005] lr: 2.1896e-02 eta: 15:13:49 time: 0.3552 data_time: 0.0052 loss: 1.5084 03/04 10:45:39 - mmengine - INFO - Epoch(train) [70][2600/5005] lr: 2.1896e-02 eta: 15:13:12 time: 0.3484 data_time: 0.0051 loss: 1.5755 03/04 10:45:59 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 10:46:15 - mmengine - INFO - Epoch(train) [70][2700/5005] lr: 2.1896e-02 eta: 15:12:36 time: 0.3516 data_time: 0.0052 loss: 1.5088 03/04 10:46:50 - mmengine - INFO - Epoch(train) [70][2800/5005] lr: 2.1896e-02 eta: 15:12:00 time: 0.3620 data_time: 0.0052 loss: 1.7006 03/04 10:47:26 - mmengine - INFO - Epoch(train) [70][2900/5005] lr: 2.1896e-02 eta: 15:11:24 time: 0.3561 data_time: 0.0052 loss: 1.4727 03/04 10:48:01 - mmengine - INFO - Epoch(train) [70][3000/5005] lr: 2.1896e-02 eta: 15:10:48 time: 0.3626 data_time: 0.0055 loss: 1.5956 03/04 10:48:37 - mmengine - INFO - Epoch(train) [70][3100/5005] lr: 2.1896e-02 eta: 15:10:12 time: 0.3832 data_time: 0.0053 loss: 1.4223 03/04 10:49:12 - mmengine - INFO - Epoch(train) [70][3200/5005] lr: 2.1896e-02 eta: 15:09:35 time: 0.3422 data_time: 0.0052 loss: 1.3154 03/04 10:49:48 - mmengine - INFO - Epoch(train) [70][3300/5005] lr: 2.1896e-02 eta: 15:08:59 time: 0.3541 data_time: 0.0051 loss: 1.4741 03/04 10:50:23 - mmengine - INFO - Epoch(train) [70][3400/5005] lr: 2.1896e-02 eta: 15:08:23 time: 0.3505 data_time: 0.0050 loss: 1.7304 03/04 10:50:59 - mmengine - INFO - Epoch(train) [70][3500/5005] lr: 2.1896e-02 eta: 15:07:47 time: 0.3507 data_time: 0.0051 loss: 1.6959 03/04 10:51:35 - mmengine - INFO - Epoch(train) [70][3600/5005] lr: 2.1896e-02 eta: 15:07:11 time: 0.3618 data_time: 0.0051 loss: 1.4757 03/04 10:51:54 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 10:52:10 - mmengine - INFO - Epoch(train) [70][3700/5005] lr: 2.1896e-02 eta: 15:06:35 time: 0.3469 data_time: 0.0052 loss: 1.4610 03/04 10:52:46 - mmengine - INFO - Epoch(train) [70][3800/5005] lr: 2.1896e-02 eta: 15:05:59 time: 0.3488 data_time: 0.0052 loss: 1.4332 03/04 10:53:21 - mmengine - INFO - Epoch(train) [70][3900/5005] lr: 2.1896e-02 eta: 15:05:23 time: 0.3498 data_time: 0.0052 loss: 1.4533 03/04 10:53:57 - mmengine - INFO - Epoch(train) [70][4000/5005] lr: 2.1896e-02 eta: 15:04:47 time: 0.3553 data_time: 0.0053 loss: 1.6010 03/04 10:54:33 - mmengine - INFO - Epoch(train) [70][4100/5005] lr: 2.1896e-02 eta: 15:04:11 time: 0.3505 data_time: 0.0052 loss: 1.6302 03/04 10:55:08 - mmengine - INFO - Epoch(train) [70][4200/5005] lr: 2.1896e-02 eta: 15:03:34 time: 0.3482 data_time: 0.0051 loss: 1.9241 03/04 10:55:43 - mmengine - INFO - Epoch(train) [70][4300/5005] lr: 2.1896e-02 eta: 15:02:58 time: 0.3533 data_time: 0.0051 loss: 1.4309 03/04 10:56:19 - mmengine - INFO - Epoch(train) [70][4400/5005] lr: 2.1896e-02 eta: 15:02:22 time: 0.3581 data_time: 0.0053 loss: 1.4851 03/04 10:56:54 - mmengine - INFO - Epoch(train) [70][4500/5005] lr: 2.1896e-02 eta: 15:01:46 time: 0.3423 data_time: 0.0058 loss: 1.4291 03/04 10:57:30 - mmengine - INFO - Epoch(train) [70][4600/5005] lr: 2.1896e-02 eta: 15:01:10 time: 0.3486 data_time: 0.0051 loss: 1.5901 03/04 10:57:49 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 10:58:06 - mmengine - INFO - Epoch(train) [70][4700/5005] lr: 2.1896e-02 eta: 15:00:34 time: 0.3833 data_time: 0.0053 loss: 1.6196 03/04 10:58:41 - mmengine - INFO - Epoch(train) [70][4800/5005] lr: 2.1896e-02 eta: 14:59:58 time: 0.3531 data_time: 0.0051 loss: 1.6290 03/04 10:59:18 - mmengine - INFO - Epoch(train) [70][4900/5005] lr: 2.1896e-02 eta: 14:59:22 time: 0.4339 data_time: 0.0056 loss: 1.4722 03/04 11:00:01 - mmengine - INFO - Epoch(train) [70][5000/5005] lr: 2.1896e-02 eta: 14:58:49 time: 0.4557 data_time: 0.0057 loss: 1.5464 03/04 11:00:03 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 11:00:06 - mmengine - INFO - Saving checkpoint at 70 epochs 03/04 11:00:24 - mmengine - INFO - Epoch(val) [70][100/196] eta: 0:00:15 time: 0.0453 data_time: 0.0003 03/04 11:00:40 - mmengine - INFO - Epoch(val) [70][196/196] accuracy/top1: 68.7940 accuracy/top5: 89.0520 03/04 11:01:24 - mmengine - INFO - Epoch(train) [71][ 100/5005] lr: 2.0611e-02 eta: 14:58:15 time: 0.3636 data_time: 0.0052 loss: 1.5879 03/04 11:02:00 - mmengine - INFO - Epoch(train) [71][ 200/5005] lr: 2.0611e-02 eta: 14:57:39 time: 0.3515 data_time: 0.0052 loss: 1.3293 03/04 11:02:36 - mmengine - INFO - Epoch(train) [71][ 300/5005] lr: 2.0611e-02 eta: 14:57:03 time: 0.3826 data_time: 0.0054 loss: 1.6440 03/04 11:03:12 - mmengine - INFO - Epoch(train) [71][ 400/5005] lr: 2.0611e-02 eta: 14:56:27 time: 0.3532 data_time: 0.0054 loss: 1.5980 03/04 11:03:48 - mmengine - INFO - Epoch(train) [71][ 500/5005] lr: 2.0611e-02 eta: 14:55:51 time: 0.3451 data_time: 0.0050 loss: 1.3946 03/04 11:04:23 - mmengine - INFO - Epoch(train) [71][ 600/5005] lr: 2.0611e-02 eta: 14:55:15 time: 0.3489 data_time: 0.0051 loss: 1.4895 03/04 11:04:42 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 11:04:59 - mmengine - INFO - Epoch(train) [71][ 700/5005] lr: 2.0611e-02 eta: 14:54:39 time: 0.3500 data_time: 0.0059 loss: 1.4914 03/04 11:05:35 - mmengine - INFO - Epoch(train) [71][ 800/5005] lr: 2.0611e-02 eta: 14:54:03 time: 0.3488 data_time: 0.0055 loss: 1.5035 03/04 11:06:10 - mmengine - INFO - Epoch(train) [71][ 900/5005] lr: 2.0611e-02 eta: 14:53:27 time: 0.3522 data_time: 0.0049 loss: 1.3976 03/04 11:06:46 - mmengine - INFO - Epoch(train) [71][1000/5005] lr: 2.0611e-02 eta: 14:52:51 time: 0.3663 data_time: 0.0052 loss: 1.6786 03/04 11:07:22 - mmengine - INFO - Epoch(train) [71][1100/5005] lr: 2.0611e-02 eta: 14:52:15 time: 0.3487 data_time: 0.0053 loss: 1.4672 03/04 11:07:57 - mmengine - INFO - Epoch(train) [71][1200/5005] lr: 2.0611e-02 eta: 14:51:39 time: 0.3442 data_time: 0.0052 loss: 1.4520 03/04 11:08:33 - mmengine - INFO - Epoch(train) [71][1300/5005] lr: 2.0611e-02 eta: 14:51:02 time: 0.3475 data_time: 0.0051 loss: 1.5434 03/04 11:09:09 - mmengine - INFO - Epoch(train) [71][1400/5005] lr: 2.0611e-02 eta: 14:50:26 time: 0.3538 data_time: 0.0052 loss: 1.4792 03/04 11:09:44 - mmengine - INFO - Epoch(train) [71][1500/5005] lr: 2.0611e-02 eta: 14:49:50 time: 0.3505 data_time: 0.0053 loss: 1.5087 03/04 11:10:20 - mmengine - INFO - Epoch(train) [71][1600/5005] lr: 2.0611e-02 eta: 14:49:14 time: 0.3641 data_time: 0.0052 loss: 1.4613 03/04 11:10:38 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 11:10:55 - mmengine - INFO - Epoch(train) [71][1700/5005] lr: 2.0611e-02 eta: 14:48:38 time: 0.3498 data_time: 0.0056 loss: 1.3256 03/04 11:11:31 - mmengine - INFO - Epoch(train) [71][1800/5005] lr: 2.0611e-02 eta: 14:48:02 time: 0.3526 data_time: 0.0051 loss: 1.5634 03/04 11:12:07 - mmengine - INFO - Epoch(train) [71][1900/5005] lr: 2.0611e-02 eta: 14:47:26 time: 0.3467 data_time: 0.0052 loss: 1.3308 03/04 11:12:42 - mmengine - INFO - Epoch(train) [71][2000/5005] lr: 2.0611e-02 eta: 14:46:50 time: 0.3472 data_time: 0.0051 loss: 1.5499 03/04 11:13:18 - mmengine - INFO - Epoch(train) [71][2100/5005] lr: 2.0611e-02 eta: 14:46:14 time: 0.3442 data_time: 0.0050 loss: 1.5329 03/04 11:13:54 - mmengine - INFO - Epoch(train) [71][2200/5005] lr: 2.0611e-02 eta: 14:45:38 time: 0.3513 data_time: 0.0055 loss: 1.5343 03/04 11:14:29 - mmengine - INFO - Epoch(train) [71][2300/5005] lr: 2.0611e-02 eta: 14:45:02 time: 0.3537 data_time: 0.0053 loss: 1.3933 03/04 11:15:05 - mmengine - INFO - Epoch(train) [71][2400/5005] lr: 2.0611e-02 eta: 14:44:25 time: 0.3468 data_time: 0.0054 loss: 1.3997 03/04 11:15:41 - mmengine - INFO - Epoch(train) [71][2500/5005] lr: 2.0611e-02 eta: 14:43:49 time: 0.3537 data_time: 0.0054 loss: 1.4068 03/04 11:16:16 - mmengine - INFO - Epoch(train) [71][2600/5005] lr: 2.0611e-02 eta: 14:43:13 time: 0.3465 data_time: 0.0053 loss: 1.4846 03/04 11:16:34 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 11:16:52 - mmengine - INFO - Epoch(train) [71][2700/5005] lr: 2.0611e-02 eta: 14:42:37 time: 0.3485 data_time: 0.0053 loss: 1.5203 03/04 11:17:28 - mmengine - INFO - Epoch(train) [71][2800/5005] lr: 2.0611e-02 eta: 14:42:01 time: 0.3504 data_time: 0.0052 loss: 1.8874 03/04 11:18:03 - mmengine - INFO - Epoch(train) [71][2900/5005] lr: 2.0611e-02 eta: 14:41:25 time: 0.3585 data_time: 0.0053 loss: 1.6180 03/04 11:18:39 - mmengine - INFO - Epoch(train) [71][3000/5005] lr: 2.0611e-02 eta: 14:40:49 time: 0.3729 data_time: 0.0051 loss: 1.7510 03/04 11:19:14 - mmengine - INFO - Epoch(train) [71][3100/5005] lr: 2.0611e-02 eta: 14:40:13 time: 0.3448 data_time: 0.0050 loss: 1.6541 03/04 11:19:50 - mmengine - INFO - Epoch(train) [71][3200/5005] lr: 2.0611e-02 eta: 14:39:37 time: 0.3746 data_time: 0.0056 loss: 1.4747 03/04 11:20:25 - mmengine - INFO - Epoch(train) [71][3300/5005] lr: 2.0611e-02 eta: 14:39:01 time: 0.3507 data_time: 0.0050 loss: 1.4290 03/04 11:21:01 - mmengine - INFO - Epoch(train) [71][3400/5005] lr: 2.0611e-02 eta: 14:38:24 time: 0.3445 data_time: 0.0050 loss: 1.6001 03/04 11:21:37 - mmengine - INFO - Epoch(train) [71][3500/5005] lr: 2.0611e-02 eta: 14:37:48 time: 0.3468 data_time: 0.0055 loss: 1.5756 03/04 11:22:12 - mmengine - INFO - Epoch(train) [71][3600/5005] lr: 2.0611e-02 eta: 14:37:12 time: 0.3405 data_time: 0.0052 loss: 1.4508 03/04 11:22:30 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 11:22:48 - mmengine - INFO - Epoch(train) [71][3700/5005] lr: 2.0611e-02 eta: 14:36:36 time: 0.3591 data_time: 0.0051 loss: 1.3785 03/04 11:23:23 - mmengine - INFO - Epoch(train) [71][3800/5005] lr: 2.0611e-02 eta: 14:36:00 time: 0.3562 data_time: 0.0053 loss: 1.3687 03/04 11:23:58 - mmengine - INFO - Epoch(train) [71][3900/5005] lr: 2.0611e-02 eta: 14:35:24 time: 0.3459 data_time: 0.0057 loss: 1.4257 03/04 11:24:34 - mmengine - INFO - Epoch(train) [71][4000/5005] lr: 2.0611e-02 eta: 14:34:48 time: 0.3685 data_time: 0.0054 loss: 1.5659 03/04 11:25:10 - mmengine - INFO - Epoch(train) [71][4100/5005] lr: 2.0611e-02 eta: 14:34:11 time: 0.3669 data_time: 0.0057 loss: 1.4309 03/04 11:25:45 - mmengine - INFO - Epoch(train) [71][4200/5005] lr: 2.0611e-02 eta: 14:33:35 time: 0.3463 data_time: 0.0051 loss: 1.4877 03/04 11:26:20 - mmengine - INFO - Epoch(train) [71][4300/5005] lr: 2.0611e-02 eta: 14:32:59 time: 0.3463 data_time: 0.0055 loss: 1.5235 03/04 11:26:56 - mmengine - INFO - Epoch(train) [71][4400/5005] lr: 2.0611e-02 eta: 14:32:23 time: 0.3520 data_time: 0.0052 loss: 1.5835 03/04 11:27:32 - mmengine - INFO - Epoch(train) [71][4500/5005] lr: 2.0611e-02 eta: 14:31:47 time: 0.3711 data_time: 0.0054 loss: 1.6109 03/04 11:28:07 - mmengine - INFO - Epoch(train) [71][4600/5005] lr: 2.0611e-02 eta: 14:31:11 time: 0.3469 data_time: 0.0052 loss: 1.6183 03/04 11:28:25 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 11:28:43 - mmengine - INFO - Epoch(train) [71][4700/5005] lr: 2.0611e-02 eta: 14:30:35 time: 0.3437 data_time: 0.0053 loss: 1.4271 03/04 11:29:18 - mmengine - INFO - Epoch(train) [71][4800/5005] lr: 2.0611e-02 eta: 14:29:59 time: 0.3440 data_time: 0.0055 loss: 1.6724 03/04 11:29:56 - mmengine - INFO - Epoch(train) [71][4900/5005] lr: 2.0611e-02 eta: 14:29:23 time: 0.4522 data_time: 0.0057 loss: 1.4702 03/04 11:30:37 - mmengine - INFO - Epoch(train) [71][5000/5005] lr: 2.0611e-02 eta: 14:28:50 time: 0.4293 data_time: 0.0059 loss: 1.5469 03/04 11:30:39 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 11:30:42 - mmengine - INFO - Saving checkpoint at 71 epochs 03/04 11:31:00 - mmengine - INFO - Epoch(val) [71][100/196] eta: 0:00:15 time: 0.0424 data_time: 0.0003 03/04 11:31:16 - mmengine - INFO - Epoch(val) [71][196/196] accuracy/top1: 68.9420 accuracy/top5: 89.1700 03/04 11:32:01 - mmengine - INFO - Epoch(train) [72][ 100/5005] lr: 1.9355e-02 eta: 14:28:15 time: 0.3573 data_time: 0.0052 loss: 1.2575 03/04 11:32:37 - mmengine - INFO - Epoch(train) [72][ 200/5005] lr: 1.9355e-02 eta: 14:27:39 time: 0.3765 data_time: 0.0054 loss: 1.3280 03/04 11:33:12 - mmengine - INFO - Epoch(train) [72][ 300/5005] lr: 1.9355e-02 eta: 14:27:03 time: 0.3530 data_time: 0.0053 loss: 1.4405 03/04 11:33:48 - mmengine - INFO - Epoch(train) [72][ 400/5005] lr: 1.9355e-02 eta: 14:26:27 time: 0.3672 data_time: 0.0053 loss: 1.3715 03/04 11:34:23 - mmengine - INFO - Epoch(train) [72][ 500/5005] lr: 1.9355e-02 eta: 14:25:51 time: 0.3432 data_time: 0.0052 loss: 1.5096 03/04 11:34:59 - mmengine - INFO - Epoch(train) [72][ 600/5005] lr: 1.9355e-02 eta: 14:25:15 time: 0.3521 data_time: 0.0054 loss: 1.4887 03/04 11:35:15 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 11:35:35 - mmengine - INFO - Epoch(train) [72][ 700/5005] lr: 1.9355e-02 eta: 14:24:39 time: 0.3663 data_time: 0.0058 loss: 1.5704 03/04 11:36:10 - mmengine - INFO - Epoch(train) [72][ 800/5005] lr: 1.9355e-02 eta: 14:24:03 time: 0.3451 data_time: 0.0055 loss: 1.2899 03/04 11:36:46 - mmengine - INFO - Epoch(train) [72][ 900/5005] lr: 1.9355e-02 eta: 14:23:27 time: 0.3732 data_time: 0.0051 loss: 1.3525 03/04 11:37:21 - mmengine - INFO - Epoch(train) [72][1000/5005] lr: 1.9355e-02 eta: 14:22:51 time: 0.3552 data_time: 0.0057 loss: 1.5934 03/04 11:37:57 - mmengine - INFO - Epoch(train) [72][1100/5005] lr: 1.9355e-02 eta: 14:22:14 time: 0.3485 data_time: 0.0055 loss: 1.5545 03/04 11:38:32 - mmengine - INFO - Epoch(train) [72][1200/5005] lr: 1.9355e-02 eta: 14:21:38 time: 0.3500 data_time: 0.0051 loss: 1.6343 03/04 11:39:08 - mmengine - INFO - Epoch(train) [72][1300/5005] lr: 1.9355e-02 eta: 14:21:02 time: 0.3699 data_time: 0.0051 loss: 1.5680 03/04 11:39:43 - mmengine - INFO - Epoch(train) [72][1400/5005] lr: 1.9355e-02 eta: 14:20:26 time: 0.3444 data_time: 0.0053 loss: 1.4653 03/04 11:40:19 - mmengine - INFO - Epoch(train) [72][1500/5005] lr: 1.9355e-02 eta: 14:19:50 time: 0.3714 data_time: 0.0051 loss: 1.5703 03/04 11:40:54 - mmengine - INFO - Epoch(train) [72][1600/5005] lr: 1.9355e-02 eta: 14:19:14 time: 0.3485 data_time: 0.0055 loss: 1.3457 03/04 11:41:10 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 11:41:30 - mmengine - INFO - Epoch(train) [72][1700/5005] lr: 1.9355e-02 eta: 14:18:38 time: 0.3445 data_time: 0.0053 loss: 1.5136 03/04 11:42:05 - mmengine - INFO - Epoch(train) [72][1800/5005] lr: 1.9355e-02 eta: 14:18:01 time: 0.3459 data_time: 0.0055 loss: 1.5595 03/04 11:42:41 - mmengine - INFO - Epoch(train) [72][1900/5005] lr: 1.9355e-02 eta: 14:17:25 time: 0.3500 data_time: 0.0052 loss: 1.5398 03/04 11:43:16 - mmengine - INFO - Epoch(train) [72][2000/5005] lr: 1.9355e-02 eta: 14:16:49 time: 0.3813 data_time: 0.0051 loss: 1.6541 03/04 11:43:51 - mmengine - INFO - Epoch(train) [72][2100/5005] lr: 1.9355e-02 eta: 14:16:13 time: 0.3538 data_time: 0.0051 loss: 1.7600 03/04 11:44:27 - mmengine - INFO - Epoch(train) [72][2200/5005] lr: 1.9355e-02 eta: 14:15:37 time: 0.3443 data_time: 0.0052 loss: 1.5211 03/04 11:45:02 - mmengine - INFO - Epoch(train) [72][2300/5005] lr: 1.9355e-02 eta: 14:15:00 time: 0.3625 data_time: 0.0053 loss: 1.5332 03/04 11:45:38 - mmengine - INFO - Epoch(train) [72][2400/5005] lr: 1.9355e-02 eta: 14:14:24 time: 0.3517 data_time: 0.0053 loss: 1.3114 03/04 11:46:13 - mmengine - INFO - Epoch(train) [72][2500/5005] lr: 1.9355e-02 eta: 14:13:48 time: 0.3432 data_time: 0.0051 loss: 1.5218 03/04 11:46:48 - mmengine - INFO - Epoch(train) [72][2600/5005] lr: 1.9355e-02 eta: 14:13:12 time: 0.3477 data_time: 0.0051 loss: 1.6375 03/04 11:47:04 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 11:47:24 - mmengine - INFO - Epoch(train) [72][2700/5005] lr: 1.9355e-02 eta: 14:12:36 time: 0.3481 data_time: 0.0053 loss: 1.4370 03/04 11:47:59 - mmengine - INFO - Epoch(train) [72][2800/5005] lr: 1.9355e-02 eta: 14:12:00 time: 0.3917 data_time: 0.0053 loss: 1.4868 03/04 11:48:34 - mmengine - INFO - Epoch(train) [72][2900/5005] lr: 1.9355e-02 eta: 14:11:23 time: 0.3546 data_time: 0.0053 loss: 1.4763 03/04 11:49:10 - mmengine - INFO - Epoch(train) [72][3000/5005] lr: 1.9355e-02 eta: 14:10:47 time: 0.3472 data_time: 0.0054 loss: 1.3416 03/04 11:49:45 - mmengine - INFO - Epoch(train) [72][3100/5005] lr: 1.9355e-02 eta: 14:10:11 time: 0.3388 data_time: 0.0053 loss: 1.4745 03/04 11:50:20 - mmengine - INFO - Epoch(train) [72][3200/5005] lr: 1.9355e-02 eta: 14:09:35 time: 0.3456 data_time: 0.0052 loss: 1.3677 03/04 11:50:56 - mmengine - INFO - Epoch(train) [72][3300/5005] lr: 1.9355e-02 eta: 14:08:59 time: 0.3440 data_time: 0.0052 loss: 1.4095 03/04 11:51:31 - mmengine - INFO - Epoch(train) [72][3400/5005] lr: 1.9355e-02 eta: 14:08:23 time: 0.3466 data_time: 0.0053 loss: 1.5599 03/04 11:52:07 - mmengine - INFO - Epoch(train) [72][3500/5005] lr: 1.9355e-02 eta: 14:07:46 time: 0.3443 data_time: 0.0053 loss: 1.4505 03/04 11:52:42 - mmengine - INFO - Epoch(train) [72][3600/5005] lr: 1.9355e-02 eta: 14:07:10 time: 0.3580 data_time: 0.0055 loss: 1.5385 03/04 11:52:58 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 11:53:17 - mmengine - INFO - Epoch(train) [72][3700/5005] lr: 1.9355e-02 eta: 14:06:34 time: 0.3609 data_time: 0.0056 loss: 1.5810 03/04 11:53:53 - mmengine - INFO - Epoch(train) [72][3800/5005] lr: 1.9355e-02 eta: 14:05:58 time: 0.3362 data_time: 0.0051 loss: 1.7522 03/04 11:54:28 - mmengine - INFO - Epoch(train) [72][3900/5005] lr: 1.9355e-02 eta: 14:05:22 time: 0.3587 data_time: 0.0053 loss: 1.4643 03/04 11:55:04 - mmengine - INFO - Epoch(train) [72][4000/5005] lr: 1.9355e-02 eta: 14:04:46 time: 0.3424 data_time: 0.0051 loss: 1.6529 03/04 11:55:40 - mmengine - INFO - Epoch(train) [72][4100/5005] lr: 1.9355e-02 eta: 14:04:10 time: 0.3479 data_time: 0.0052 loss: 1.4455 03/04 11:56:15 - mmengine - INFO - Epoch(train) [72][4200/5005] lr: 1.9355e-02 eta: 14:03:34 time: 0.3461 data_time: 0.0057 loss: 1.5288 03/04 11:56:51 - mmengine - INFO - Epoch(train) [72][4300/5005] lr: 1.9355e-02 eta: 14:02:58 time: 0.3498 data_time: 0.0052 loss: 1.3822 03/04 11:57:26 - mmengine - INFO - Epoch(train) [72][4400/5005] lr: 1.9355e-02 eta: 14:02:21 time: 0.3548 data_time: 0.0052 loss: 1.7420 03/04 11:58:02 - mmengine - INFO - Epoch(train) [72][4500/5005] lr: 1.9355e-02 eta: 14:01:45 time: 0.3598 data_time: 0.0055 loss: 1.2737 03/04 11:58:37 - mmengine - INFO - Epoch(train) [72][4600/5005] lr: 1.9355e-02 eta: 14:01:09 time: 0.3459 data_time: 0.0054 loss: 1.6685 03/04 11:58:53 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 11:59:13 - mmengine - INFO - Epoch(train) [72][4700/5005] lr: 1.9355e-02 eta: 14:00:33 time: 0.3484 data_time: 0.0054 loss: 1.6185 03/04 11:59:48 - mmengine - INFO - Epoch(train) [72][4800/5005] lr: 1.9355e-02 eta: 13:59:57 time: 0.3447 data_time: 0.0051 loss: 1.5279 03/04 12:00:25 - mmengine - INFO - Epoch(train) [72][4900/5005] lr: 1.9355e-02 eta: 13:59:21 time: 0.3798 data_time: 0.0057 loss: 1.6745 03/04 12:01:09 - mmengine - INFO - Epoch(train) [72][5000/5005] lr: 1.9355e-02 eta: 13:58:48 time: 0.4426 data_time: 0.0053 loss: 1.6591 03/04 12:01:11 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 12:01:14 - mmengine - INFO - Saving checkpoint at 72 epochs 03/04 12:01:32 - mmengine - INFO - Epoch(val) [72][100/196] eta: 0:00:15 time: 0.0532 data_time: 0.0003 03/04 12:01:48 - mmengine - INFO - Epoch(val) [72][196/196] accuracy/top1: 69.2060 accuracy/top5: 89.1900 03/04 12:02:33 - mmengine - INFO - Epoch(train) [73][ 100/5005] lr: 1.8129e-02 eta: 13:58:14 time: 0.3382 data_time: 0.0055 loss: 1.3879 03/04 12:03:09 - mmengine - INFO - Epoch(train) [73][ 200/5005] lr: 1.8129e-02 eta: 13:57:38 time: 0.3511 data_time: 0.0052 loss: 1.4212 03/04 12:03:44 - mmengine - INFO - Epoch(train) [73][ 300/5005] lr: 1.8129e-02 eta: 13:57:02 time: 0.3435 data_time: 0.0053 loss: 1.3955 03/04 12:04:20 - mmengine - INFO - Epoch(train) [73][ 400/5005] lr: 1.8129e-02 eta: 13:56:26 time: 0.3477 data_time: 0.0054 loss: 1.3753 03/04 12:04:56 - mmengine - INFO - Epoch(train) [73][ 500/5005] lr: 1.8129e-02 eta: 13:55:50 time: 0.3453 data_time: 0.0051 loss: 1.5606 03/04 12:05:32 - mmengine - INFO - Epoch(train) [73][ 600/5005] lr: 1.8129e-02 eta: 13:55:14 time: 0.3509 data_time: 0.0054 loss: 1.4860 03/04 12:05:46 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 12:06:08 - mmengine - INFO - Epoch(train) [73][ 700/5005] lr: 1.8129e-02 eta: 13:54:38 time: 0.3509 data_time: 0.0056 loss: 1.3623 03/04 12:06:43 - mmengine - INFO - Epoch(train) [73][ 800/5005] lr: 1.8129e-02 eta: 13:54:02 time: 0.3513 data_time: 0.0054 loss: 1.3937 03/04 12:07:19 - mmengine - INFO - Epoch(train) [73][ 900/5005] lr: 1.8129e-02 eta: 13:53:26 time: 0.3508 data_time: 0.0052 loss: 1.4629 03/04 12:07:55 - mmengine - INFO - Epoch(train) [73][1000/5005] lr: 1.8129e-02 eta: 13:52:50 time: 0.3474 data_time: 0.0054 loss: 1.6143 03/04 12:08:30 - mmengine - INFO - Epoch(train) [73][1100/5005] lr: 1.8129e-02 eta: 13:52:14 time: 0.3699 data_time: 0.0053 loss: 1.4661 03/04 12:09:06 - mmengine - INFO - Epoch(train) [73][1200/5005] lr: 1.8129e-02 eta: 13:51:38 time: 0.3420 data_time: 0.0053 loss: 1.6977 03/04 12:09:42 - mmengine - INFO - Epoch(train) [73][1300/5005] lr: 1.8129e-02 eta: 13:51:02 time: 0.3655 data_time: 0.0053 loss: 1.3717 03/04 12:10:17 - mmengine - INFO - Epoch(train) [73][1400/5005] lr: 1.8129e-02 eta: 13:50:25 time: 0.3468 data_time: 0.0053 loss: 1.4151 03/04 12:10:53 - mmengine - INFO - Epoch(train) [73][1500/5005] lr: 1.8129e-02 eta: 13:49:49 time: 0.3483 data_time: 0.0053 loss: 1.4917 03/04 12:11:29 - mmengine - INFO - Epoch(train) [73][1600/5005] lr: 1.8129e-02 eta: 13:49:13 time: 0.3496 data_time: 0.0054 loss: 1.4895 03/04 12:11:43 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 12:12:04 - mmengine - INFO - Epoch(train) [73][1700/5005] lr: 1.8129e-02 eta: 13:48:37 time: 0.3465 data_time: 0.0051 loss: 1.5324 03/04 12:12:40 - mmengine - INFO - Epoch(train) [73][1800/5005] lr: 1.8129e-02 eta: 13:48:01 time: 0.3505 data_time: 0.0055 loss: 1.6882 03/04 12:13:15 - mmengine - INFO - Epoch(train) [73][1900/5005] lr: 1.8129e-02 eta: 13:47:25 time: 0.3593 data_time: 0.0052 loss: 1.5345 03/04 12:13:51 - mmengine - INFO - Epoch(train) [73][2000/5005] lr: 1.8129e-02 eta: 13:46:49 time: 0.3485 data_time: 0.0052 loss: 1.7104 03/04 12:14:26 - mmengine - INFO - Epoch(train) [73][2100/5005] lr: 1.8129e-02 eta: 13:46:13 time: 0.3504 data_time: 0.0054 loss: 1.5225 03/04 12:15:02 - mmengine - INFO - Epoch(train) [73][2200/5005] lr: 1.8129e-02 eta: 13:45:37 time: 0.3523 data_time: 0.0054 loss: 1.5511 03/04 12:15:37 - mmengine - INFO - Epoch(train) [73][2300/5005] lr: 1.8129e-02 eta: 13:45:01 time: 0.3483 data_time: 0.0052 loss: 1.4945 03/04 12:16:13 - mmengine - INFO - Epoch(train) [73][2400/5005] lr: 1.8129e-02 eta: 13:44:25 time: 0.3622 data_time: 0.0051 loss: 1.5286 03/04 12:16:48 - mmengine - INFO - Epoch(train) [73][2500/5005] lr: 1.8129e-02 eta: 13:43:48 time: 0.3455 data_time: 0.0055 loss: 1.5346 03/04 12:17:24 - mmengine - INFO - Epoch(train) [73][2600/5005] lr: 1.8129e-02 eta: 13:43:12 time: 0.3437 data_time: 0.0051 loss: 1.3193 03/04 12:17:38 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 12:17:59 - mmengine - INFO - Epoch(train) [73][2700/5005] lr: 1.8129e-02 eta: 13:42:36 time: 0.3693 data_time: 0.0053 loss: 1.5993 03/04 12:18:35 - mmengine - INFO - Epoch(train) [73][2800/5005] lr: 1.8129e-02 eta: 13:42:00 time: 0.3627 data_time: 0.0052 loss: 1.5280 03/04 12:19:10 - mmengine - INFO - Epoch(train) [73][2900/5005] lr: 1.8129e-02 eta: 13:41:24 time: 0.3478 data_time: 0.0053 loss: 1.5001 03/04 12:19:46 - mmengine - INFO - Epoch(train) [73][3000/5005] lr: 1.8129e-02 eta: 13:40:48 time: 0.3511 data_time: 0.0051 loss: 1.2915 03/04 12:20:21 - mmengine - INFO - Epoch(train) [73][3100/5005] lr: 1.8129e-02 eta: 13:40:12 time: 0.3416 data_time: 0.0052 loss: 1.3594 03/04 12:20:57 - mmengine - INFO - Epoch(train) [73][3200/5005] lr: 1.8129e-02 eta: 13:39:36 time: 0.3641 data_time: 0.0052 loss: 1.4498 03/04 12:21:33 - mmengine - INFO - Epoch(train) [73][3300/5005] lr: 1.8129e-02 eta: 13:39:00 time: 0.3492 data_time: 0.0059 loss: 1.5264 03/04 12:22:08 - mmengine - INFO - Epoch(train) [73][3400/5005] lr: 1.8129e-02 eta: 13:38:23 time: 0.3446 data_time: 0.0055 loss: 1.4371 03/04 12:22:44 - mmengine - INFO - Epoch(train) [73][3500/5005] lr: 1.8129e-02 eta: 13:37:47 time: 0.3611 data_time: 0.0052 loss: 1.6072 03/04 12:23:20 - mmengine - INFO - Epoch(train) [73][3600/5005] lr: 1.8129e-02 eta: 13:37:11 time: 0.3740 data_time: 0.0054 loss: 1.5817 03/04 12:23:34 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 12:23:55 - mmengine - INFO - Epoch(train) [73][3700/5005] lr: 1.8129e-02 eta: 13:36:35 time: 0.3512 data_time: 0.0052 loss: 1.4290 03/04 12:24:31 - mmengine - INFO - Epoch(train) [73][3800/5005] lr: 1.8129e-02 eta: 13:35:59 time: 0.3369 data_time: 0.0054 loss: 1.4718 03/04 12:25:06 - mmengine - INFO - Epoch(train) [73][3900/5005] lr: 1.8129e-02 eta: 13:35:23 time: 0.3427 data_time: 0.0051 loss: 1.6152 03/04 12:25:41 - mmengine - INFO - Epoch(train) [73][4000/5005] lr: 1.8129e-02 eta: 13:34:47 time: 0.3499 data_time: 0.0054 loss: 1.5743 03/04 12:26:17 - mmengine - INFO - Epoch(train) [73][4100/5005] lr: 1.8129e-02 eta: 13:34:11 time: 0.3778 data_time: 0.0054 loss: 1.6156 03/04 12:26:52 - mmengine - INFO - Epoch(train) [73][4200/5005] lr: 1.8129e-02 eta: 13:33:34 time: 0.3415 data_time: 0.0051 loss: 1.6099 03/04 12:27:27 - mmengine - INFO - Epoch(train) [73][4300/5005] lr: 1.8129e-02 eta: 13:32:58 time: 0.3723 data_time: 0.0052 loss: 1.4898 03/04 12:28:03 - mmengine - INFO - Epoch(train) [73][4400/5005] lr: 1.8129e-02 eta: 13:32:22 time: 0.3467 data_time: 0.0054 loss: 1.6086 03/04 12:28:39 - mmengine - INFO - Epoch(train) [73][4500/5005] lr: 1.8129e-02 eta: 13:31:46 time: 0.3512 data_time: 0.0051 loss: 1.4996 03/04 12:29:15 - mmengine - INFO - Epoch(train) [73][4600/5005] lr: 1.8129e-02 eta: 13:31:10 time: 0.3508 data_time: 0.0051 loss: 1.1504 03/04 12:29:29 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 12:29:50 - mmengine - INFO - Epoch(train) [73][4700/5005] lr: 1.8129e-02 eta: 13:30:34 time: 0.3600 data_time: 0.0052 loss: 1.5649 03/04 12:30:26 - mmengine - INFO - Epoch(train) [73][4800/5005] lr: 1.8129e-02 eta: 13:29:58 time: 0.3548 data_time: 0.0051 loss: 1.4651 03/04 12:31:03 - mmengine - INFO - Epoch(train) [73][4900/5005] lr: 1.8129e-02 eta: 13:29:23 time: 0.4089 data_time: 0.0056 loss: 1.4980 03/04 12:31:46 - mmengine - INFO - Epoch(train) [73][5000/5005] lr: 1.8129e-02 eta: 13:28:49 time: 0.4258 data_time: 0.0056 loss: 1.3503 03/04 12:31:48 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 12:31:51 - mmengine - INFO - Saving checkpoint at 73 epochs 03/04 12:32:08 - mmengine - INFO - Epoch(val) [73][100/196] eta: 0:00:14 time: 0.0450 data_time: 0.0003 03/04 12:32:25 - mmengine - INFO - Epoch(val) [73][196/196] accuracy/top1: 69.6160 accuracy/top5: 89.5060 03/04 12:33:10 - mmengine - INFO - Epoch(train) [74][ 100/5005] lr: 1.6934e-02 eta: 13:28:15 time: 0.3430 data_time: 0.0053 loss: 1.4459 03/04 12:33:46 - mmengine - INFO - Epoch(train) [74][ 200/5005] lr: 1.6934e-02 eta: 13:27:39 time: 0.3558 data_time: 0.0053 loss: 1.4169 03/04 12:34:22 - mmengine - INFO - Epoch(train) [74][ 300/5005] lr: 1.6934e-02 eta: 13:27:03 time: 0.3599 data_time: 0.0051 loss: 1.5721 03/04 12:34:58 - mmengine - INFO - Epoch(train) [74][ 400/5005] lr: 1.6934e-02 eta: 13:26:27 time: 0.3485 data_time: 0.0052 loss: 1.4745 03/04 12:35:33 - mmengine - INFO - Epoch(train) [74][ 500/5005] lr: 1.6934e-02 eta: 13:25:51 time: 0.3599 data_time: 0.0052 loss: 1.3808 03/04 12:36:09 - mmengine - INFO - Epoch(train) [74][ 600/5005] lr: 1.6934e-02 eta: 13:25:15 time: 0.3552 data_time: 0.0053 loss: 1.4875 03/04 12:36:21 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 12:36:45 - mmengine - INFO - Epoch(train) [74][ 700/5005] lr: 1.6934e-02 eta: 13:24:39 time: 0.3684 data_time: 0.0052 loss: 1.3970 03/04 12:37:20 - mmengine - INFO - Epoch(train) [74][ 800/5005] lr: 1.6934e-02 eta: 13:24:03 time: 0.3432 data_time: 0.0052 loss: 1.3561 03/04 12:37:56 - mmengine - INFO - Epoch(train) [74][ 900/5005] lr: 1.6934e-02 eta: 13:23:27 time: 0.3447 data_time: 0.0052 loss: 1.4680 03/04 12:38:31 - mmengine - INFO - Epoch(train) [74][1000/5005] lr: 1.6934e-02 eta: 13:22:51 time: 0.3619 data_time: 0.0054 loss: 1.5568 03/04 12:39:07 - mmengine - INFO - Epoch(train) [74][1100/5005] lr: 1.6934e-02 eta: 13:22:15 time: 0.3501 data_time: 0.0053 loss: 1.5440 03/04 12:39:43 - mmengine - INFO - Epoch(train) [74][1200/5005] lr: 1.6934e-02 eta: 13:21:38 time: 0.3507 data_time: 0.0054 loss: 1.3135 03/04 12:40:18 - mmengine - INFO - Epoch(train) [74][1300/5005] lr: 1.6934e-02 eta: 13:21:02 time: 0.3431 data_time: 0.0057 loss: 1.4043 03/04 12:40:54 - mmengine - INFO - Epoch(train) [74][1400/5005] lr: 1.6934e-02 eta: 13:20:26 time: 0.3548 data_time: 0.0054 loss: 1.3764 03/04 12:41:29 - mmengine - INFO - Epoch(train) [74][1500/5005] lr: 1.6934e-02 eta: 13:19:50 time: 0.3835 data_time: 0.0058 loss: 1.3089 03/04 12:42:05 - mmengine - INFO - Epoch(train) [74][1600/5005] lr: 1.6934e-02 eta: 13:19:14 time: 0.3538 data_time: 0.0053 loss: 1.6614 03/04 12:42:17 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 12:42:41 - mmengine - INFO - Epoch(train) [74][1700/5005] lr: 1.6934e-02 eta: 13:18:38 time: 0.3539 data_time: 0.0051 loss: 1.4194 03/04 12:43:16 - mmengine - INFO - Epoch(train) [74][1800/5005] lr: 1.6934e-02 eta: 13:18:02 time: 0.3615 data_time: 0.0053 loss: 1.3641 03/04 12:43:52 - mmengine - INFO - Epoch(train) [74][1900/5005] lr: 1.6934e-02 eta: 13:17:26 time: 0.3472 data_time: 0.0053 loss: 1.3875 03/04 12:44:27 - mmengine - INFO - Epoch(train) [74][2000/5005] lr: 1.6934e-02 eta: 13:16:50 time: 0.3389 data_time: 0.0056 loss: 1.6024 03/04 12:45:03 - mmengine - INFO - Epoch(train) [74][2100/5005] lr: 1.6934e-02 eta: 13:16:14 time: 0.3543 data_time: 0.0052 loss: 1.4872 03/04 12:45:38 - mmengine - INFO - Epoch(train) [74][2200/5005] lr: 1.6934e-02 eta: 13:15:38 time: 0.3459 data_time: 0.0053 loss: 1.5252 03/04 12:46:14 - mmengine - INFO - Epoch(train) [74][2300/5005] lr: 1.6934e-02 eta: 13:15:02 time: 0.3616 data_time: 0.0055 loss: 1.4953 03/04 12:46:50 - mmengine - INFO - Epoch(train) [74][2400/5005] lr: 1.6934e-02 eta: 13:14:26 time: 0.3605 data_time: 0.0052 loss: 1.6573 03/04 12:47:25 - mmengine - INFO - Epoch(train) [74][2500/5005] lr: 1.6934e-02 eta: 13:13:50 time: 0.3501 data_time: 0.0057 loss: 1.5259 03/04 12:48:01 - mmengine - INFO - Epoch(train) [74][2600/5005] lr: 1.6934e-02 eta: 13:13:13 time: 0.3650 data_time: 0.0054 loss: 1.3026 03/04 12:48:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 12:48:36 - mmengine - INFO - Epoch(train) [74][2700/5005] lr: 1.6934e-02 eta: 13:12:37 time: 0.3425 data_time: 0.0053 loss: 1.6516 03/04 12:49:12 - mmengine - INFO - Epoch(train) [74][2800/5005] lr: 1.6934e-02 eta: 13:12:01 time: 0.3497 data_time: 0.0055 loss: 1.4489 03/04 12:49:47 - mmengine - INFO - Epoch(train) [74][2900/5005] lr: 1.6934e-02 eta: 13:11:25 time: 0.3553 data_time: 0.0054 loss: 1.4487 03/04 12:50:23 - mmengine - INFO - Epoch(train) [74][3000/5005] lr: 1.6934e-02 eta: 13:10:49 time: 0.3385 data_time: 0.0052 loss: 1.3628 03/04 12:50:58 - mmengine - INFO - Epoch(train) [74][3100/5005] lr: 1.6934e-02 eta: 13:10:13 time: 0.3714 data_time: 0.0053 loss: 1.5515 03/04 12:51:34 - mmengine - INFO - Epoch(train) [74][3200/5005] lr: 1.6934e-02 eta: 13:09:37 time: 0.3544 data_time: 0.0053 loss: 1.4109 03/04 12:52:10 - mmengine - INFO - Epoch(train) [74][3300/5005] lr: 1.6934e-02 eta: 13:09:01 time: 0.3489 data_time: 0.0053 loss: 1.3815 03/04 12:52:45 - mmengine - INFO - Epoch(train) [74][3400/5005] lr: 1.6934e-02 eta: 13:08:24 time: 0.3501 data_time: 0.0055 loss: 1.4282 03/04 12:53:20 - mmengine - INFO - Epoch(train) [74][3500/5005] lr: 1.6934e-02 eta: 13:07:48 time: 0.3342 data_time: 0.0053 loss: 1.4537 03/04 12:53:56 - mmengine - INFO - Epoch(train) [74][3600/5005] lr: 1.6934e-02 eta: 13:07:12 time: 0.3603 data_time: 0.0053 loss: 1.6978 03/04 12:54:08 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 12:54:31 - mmengine - INFO - Epoch(train) [74][3700/5005] lr: 1.6934e-02 eta: 13:06:36 time: 0.3856 data_time: 0.0055 loss: 1.3929 03/04 12:55:07 - mmengine - INFO - Epoch(train) [74][3800/5005] lr: 1.6934e-02 eta: 13:06:00 time: 0.3541 data_time: 0.0055 loss: 1.5788 03/04 12:55:43 - mmengine - INFO - Epoch(train) [74][3900/5005] lr: 1.6934e-02 eta: 13:05:24 time: 0.3483 data_time: 0.0051 loss: 1.5252 03/04 12:56:18 - mmengine - INFO - Epoch(train) [74][4000/5005] lr: 1.6934e-02 eta: 13:04:48 time: 0.3446 data_time: 0.0051 loss: 1.4513 03/04 12:56:54 - mmengine - INFO - Epoch(train) [74][4100/5005] lr: 1.6934e-02 eta: 13:04:12 time: 0.3572 data_time: 0.0052 loss: 1.5946 03/04 12:57:29 - mmengine - INFO - Epoch(train) [74][4200/5005] lr: 1.6934e-02 eta: 13:03:36 time: 0.3480 data_time: 0.0051 loss: 1.5931 03/04 12:58:05 - mmengine - INFO - Epoch(train) [74][4300/5005] lr: 1.6934e-02 eta: 13:03:00 time: 0.3449 data_time: 0.0052 loss: 1.4847 03/04 12:58:40 - mmengine - INFO - Epoch(train) [74][4400/5005] lr: 1.6934e-02 eta: 13:02:24 time: 0.3504 data_time: 0.0053 loss: 1.3517 03/04 12:59:16 - mmengine - INFO - Epoch(train) [74][4500/5005] lr: 1.6934e-02 eta: 13:01:48 time: 0.3729 data_time: 0.0051 loss: 1.3975 03/04 12:59:51 - mmengine - INFO - Epoch(train) [74][4600/5005] lr: 1.6934e-02 eta: 13:01:11 time: 0.3496 data_time: 0.0053 loss: 1.4662 03/04 13:00:03 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 13:00:27 - mmengine - INFO - Epoch(train) [74][4700/5005] lr: 1.6934e-02 eta: 13:00:35 time: 0.3606 data_time: 0.0052 loss: 1.2860 03/04 13:01:02 - mmengine - INFO - Epoch(train) [74][4800/5005] lr: 1.6934e-02 eta: 12:59:59 time: 0.3460 data_time: 0.0052 loss: 1.4732 03/04 13:01:39 - mmengine - INFO - Epoch(train) [74][4900/5005] lr: 1.6934e-02 eta: 12:59:24 time: 0.4432 data_time: 0.0058 loss: 1.2098 03/04 13:02:22 - mmengine - INFO - Epoch(train) [74][5000/5005] lr: 1.6934e-02 eta: 12:58:50 time: 0.4070 data_time: 0.0057 loss: 1.4205 03/04 13:02:24 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 13:02:27 - mmengine - INFO - Saving checkpoint at 74 epochs 03/04 13:02:44 - mmengine - INFO - Epoch(val) [74][100/196] eta: 0:00:15 time: 0.0389 data_time: 0.0002 03/04 13:03:01 - mmengine - INFO - Epoch(val) [74][196/196] accuracy/top1: 69.5200 accuracy/top5: 89.4360 03/04 13:03:46 - mmengine - INFO - Epoch(train) [75][ 100/5005] lr: 1.5773e-02 eta: 12:58:16 time: 0.3535 data_time: 0.0053 loss: 1.4826 03/04 13:04:22 - mmengine - INFO - Epoch(train) [75][ 200/5005] lr: 1.5773e-02 eta: 12:57:40 time: 0.3517 data_time: 0.0055 loss: 1.3877 03/04 13:04:58 - mmengine - INFO - Epoch(train) [75][ 300/5005] lr: 1.5773e-02 eta: 12:57:04 time: 0.3480 data_time: 0.0053 loss: 1.6030 03/04 13:05:34 - mmengine - INFO - Epoch(train) [75][ 400/5005] lr: 1.5773e-02 eta: 12:56:28 time: 0.3514 data_time: 0.0053 loss: 1.4179 03/04 13:06:09 - mmengine - INFO - Epoch(train) [75][ 500/5005] lr: 1.5773e-02 eta: 12:55:52 time: 0.3508 data_time: 0.0057 loss: 1.3326 03/04 13:06:45 - mmengine - INFO - Epoch(train) [75][ 600/5005] lr: 1.5773e-02 eta: 12:55:16 time: 0.3813 data_time: 0.0051 loss: 1.3480 03/04 13:06:56 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 13:07:21 - mmengine - INFO - Epoch(train) [75][ 700/5005] lr: 1.5773e-02 eta: 12:54:40 time: 0.3517 data_time: 0.0053 loss: 1.3021 03/04 13:07:57 - mmengine - INFO - Epoch(train) [75][ 800/5005] lr: 1.5773e-02 eta: 12:54:04 time: 0.3469 data_time: 0.0056 loss: 1.4239 03/04 13:08:32 - mmengine - INFO - Epoch(train) [75][ 900/5005] lr: 1.5773e-02 eta: 12:53:28 time: 0.3474 data_time: 0.0053 loss: 1.5148 03/04 13:09:08 - mmengine - INFO - Epoch(train) [75][1000/5005] lr: 1.5773e-02 eta: 12:52:52 time: 0.3496 data_time: 0.0054 loss: 1.2141 03/04 13:09:44 - mmengine - INFO - Epoch(train) [75][1100/5005] lr: 1.5773e-02 eta: 12:52:16 time: 0.3594 data_time: 0.0052 loss: 1.2524 03/04 13:10:19 - mmengine - INFO - Epoch(train) [75][1200/5005] lr: 1.5773e-02 eta: 12:51:39 time: 0.3480 data_time: 0.0053 loss: 1.4335 03/04 13:10:55 - mmengine - INFO - Epoch(train) [75][1300/5005] lr: 1.5773e-02 eta: 12:51:04 time: 0.3603 data_time: 0.0053 loss: 1.4734 03/04 13:11:30 - mmengine - INFO - Epoch(train) [75][1400/5005] lr: 1.5773e-02 eta: 12:50:27 time: 0.3486 data_time: 0.0056 loss: 1.4512 03/04 13:12:06 - mmengine - INFO - Epoch(train) [75][1500/5005] lr: 1.5773e-02 eta: 12:49:51 time: 0.3608 data_time: 0.0052 loss: 1.2727 03/04 13:12:42 - mmengine - INFO - Epoch(train) [75][1600/5005] lr: 1.5773e-02 eta: 12:49:15 time: 0.3538 data_time: 0.0055 loss: 1.3240 03/04 13:12:52 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 13:13:17 - mmengine - INFO - Epoch(train) [75][1700/5005] lr: 1.5773e-02 eta: 12:48:39 time: 0.3525 data_time: 0.0054 loss: 1.3524 03/04 13:13:53 - mmengine - INFO - Epoch(train) [75][1800/5005] lr: 1.5773e-02 eta: 12:48:03 time: 0.3644 data_time: 0.0051 loss: 1.3560 03/04 13:14:29 - mmengine - INFO - Epoch(train) [75][1900/5005] lr: 1.5773e-02 eta: 12:47:27 time: 0.3471 data_time: 0.0052 loss: 1.4459 03/04 13:15:04 - mmengine - INFO - Epoch(train) [75][2000/5005] lr: 1.5773e-02 eta: 12:46:51 time: 0.3765 data_time: 0.0052 loss: 1.5020 03/04 13:15:40 - mmengine - INFO - Epoch(train) [75][2100/5005] lr: 1.5773e-02 eta: 12:46:15 time: 0.3414 data_time: 0.0055 loss: 1.5443 03/04 13:16:15 - mmengine - INFO - Epoch(train) [75][2200/5005] lr: 1.5773e-02 eta: 12:45:39 time: 0.3529 data_time: 0.0053 loss: 1.3549 03/04 13:16:52 - mmengine - INFO - Epoch(train) [75][2300/5005] lr: 1.5773e-02 eta: 12:45:03 time: 0.3654 data_time: 0.0053 loss: 1.3545 03/04 13:17:27 - mmengine - INFO - Epoch(train) [75][2400/5005] lr: 1.5773e-02 eta: 12:44:27 time: 0.3489 data_time: 0.0055 loss: 1.4761 03/04 13:18:03 - mmengine - INFO - Epoch(train) [75][2500/5005] lr: 1.5773e-02 eta: 12:43:51 time: 0.3510 data_time: 0.0050 loss: 1.6368 03/04 13:18:38 - mmengine - INFO - Epoch(train) [75][2600/5005] lr: 1.5773e-02 eta: 12:43:15 time: 0.3455 data_time: 0.0054 loss: 1.4889 03/04 13:18:49 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 13:19:14 - mmengine - INFO - Epoch(train) [75][2700/5005] lr: 1.5773e-02 eta: 12:42:39 time: 0.3543 data_time: 0.0051 loss: 1.2684 03/04 13:19:49 - mmengine - INFO - Epoch(train) [75][2800/5005] lr: 1.5773e-02 eta: 12:42:03 time: 0.3605 data_time: 0.0053 loss: 1.4513 03/04 13:20:24 - mmengine - INFO - Epoch(train) [75][2900/5005] lr: 1.5773e-02 eta: 12:41:26 time: 0.3457 data_time: 0.0058 loss: 1.5857 03/04 13:21:00 - mmengine - INFO - Epoch(train) [75][3000/5005] lr: 1.5773e-02 eta: 12:40:50 time: 0.3567 data_time: 0.0056 loss: 1.5213 03/04 13:21:36 - mmengine - INFO - Epoch(train) [75][3100/5005] lr: 1.5773e-02 eta: 12:40:14 time: 0.3478 data_time: 0.0056 loss: 1.4793 03/04 13:22:11 - mmengine - INFO - Epoch(train) [75][3200/5005] lr: 1.5773e-02 eta: 12:39:38 time: 0.3471 data_time: 0.0059 loss: 1.3192 03/04 13:22:46 - mmengine - INFO - Epoch(train) [75][3300/5005] lr: 1.5773e-02 eta: 12:39:02 time: 0.3489 data_time: 0.0054 loss: 1.3431 03/04 13:23:22 - mmengine - INFO - Epoch(train) [75][3400/5005] lr: 1.5773e-02 eta: 12:38:26 time: 0.3450 data_time: 0.0054 loss: 1.3517 03/04 13:23:57 - mmengine - INFO - Epoch(train) [75][3500/5005] lr: 1.5773e-02 eta: 12:37:50 time: 0.3563 data_time: 0.0055 loss: 1.4250 03/04 13:24:33 - mmengine - INFO - Epoch(train) [75][3600/5005] lr: 1.5773e-02 eta: 12:37:14 time: 0.3559 data_time: 0.0053 loss: 1.4065 03/04 13:24:43 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 13:25:08 - mmengine - INFO - Epoch(train) [75][3700/5005] lr: 1.5773e-02 eta: 12:36:38 time: 0.3438 data_time: 0.0052 loss: 1.5173 03/04 13:25:44 - mmengine - INFO - Epoch(train) [75][3800/5005] lr: 1.5773e-02 eta: 12:36:02 time: 0.3621 data_time: 0.0055 loss: 1.4337 03/04 13:26:20 - mmengine - INFO - Epoch(train) [75][3900/5005] lr: 1.5773e-02 eta: 12:35:26 time: 0.3436 data_time: 0.0052 loss: 1.4103 03/04 13:26:55 - mmengine - INFO - Epoch(train) [75][4000/5005] lr: 1.5773e-02 eta: 12:34:50 time: 0.3549 data_time: 0.0052 loss: 1.4455 03/04 13:27:31 - mmengine - INFO - Epoch(train) [75][4100/5005] lr: 1.5773e-02 eta: 12:34:13 time: 0.3453 data_time: 0.0056 loss: 1.5342 03/04 13:28:06 - mmengine - INFO - Epoch(train) [75][4200/5005] lr: 1.5773e-02 eta: 12:33:37 time: 0.3672 data_time: 0.0052 loss: 1.4870 03/04 13:28:42 - mmengine - INFO - Epoch(train) [75][4300/5005] lr: 1.5773e-02 eta: 12:33:01 time: 0.3508 data_time: 0.0054 loss: 1.6089 03/04 13:29:17 - mmengine - INFO - Epoch(train) [75][4400/5005] lr: 1.5773e-02 eta: 12:32:25 time: 0.3468 data_time: 0.0055 loss: 1.5267 03/04 13:29:53 - mmengine - INFO - Epoch(train) [75][4500/5005] lr: 1.5773e-02 eta: 12:31:49 time: 0.3524 data_time: 0.0051 loss: 1.4456 03/04 13:30:28 - mmengine - INFO - Epoch(train) [75][4600/5005] lr: 1.5773e-02 eta: 12:31:13 time: 0.3557 data_time: 0.0055 loss: 1.4513 03/04 13:30:39 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 13:31:04 - mmengine - INFO - Epoch(train) [75][4700/5005] lr: 1.5773e-02 eta: 12:30:37 time: 0.3569 data_time: 0.0053 loss: 1.4099 03/04 13:31:40 - mmengine - INFO - Epoch(train) [75][4800/5005] lr: 1.5773e-02 eta: 12:30:01 time: 0.3510 data_time: 0.0053 loss: 1.4235 03/04 13:32:16 - mmengine - INFO - Epoch(train) [75][4900/5005] lr: 1.5773e-02 eta: 12:29:25 time: 0.3989 data_time: 0.0056 loss: 1.4213 03/04 13:32:58 - mmengine - INFO - Epoch(train) [75][5000/5005] lr: 1.5773e-02 eta: 12:28:51 time: 0.4388 data_time: 0.0060 loss: 1.4568 03/04 13:33:00 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 13:33:03 - mmengine - INFO - Saving checkpoint at 75 epochs 03/04 13:33:20 - mmengine - INFO - Epoch(val) [75][100/196] eta: 0:00:15 time: 0.0418 data_time: 0.0003 03/04 13:33:36 - mmengine - INFO - Epoch(val) [75][196/196] accuracy/top1: 70.5320 accuracy/top5: 90.0340 03/04 13:34:22 - mmengine - INFO - Epoch(train) [76][ 100/5005] lr: 1.4645e-02 eta: 12:28:17 time: 0.3522 data_time: 0.0053 loss: 1.5142 03/04 13:34:58 - mmengine - INFO - Epoch(train) [76][ 200/5005] lr: 1.4645e-02 eta: 12:27:41 time: 0.3532 data_time: 0.0060 loss: 1.4290 03/04 13:35:34 - mmengine - INFO - Epoch(train) [76][ 300/5005] lr: 1.4645e-02 eta: 12:27:05 time: 0.3556 data_time: 0.0054 loss: 1.2880 03/04 13:36:10 - mmengine - INFO - Epoch(train) [76][ 400/5005] lr: 1.4645e-02 eta: 12:26:29 time: 0.3589 data_time: 0.0054 loss: 1.5017 03/04 13:36:45 - mmengine - INFO - Epoch(train) [76][ 500/5005] lr: 1.4645e-02 eta: 12:25:53 time: 0.3601 data_time: 0.0056 loss: 1.1515 03/04 13:37:21 - mmengine - INFO - Epoch(train) [76][ 600/5005] lr: 1.4645e-02 eta: 12:25:17 time: 0.3588 data_time: 0.0053 loss: 1.4522 03/04 13:37:29 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 13:37:56 - mmengine - INFO - Epoch(train) [76][ 700/5005] lr: 1.4645e-02 eta: 12:24:41 time: 0.3492 data_time: 0.0056 loss: 1.5681 03/04 13:38:32 - mmengine - INFO - Epoch(train) [76][ 800/5005] lr: 1.4645e-02 eta: 12:24:04 time: 0.3649 data_time: 0.0055 loss: 1.3926 03/04 13:39:07 - mmengine - INFO - Epoch(train) [76][ 900/5005] lr: 1.4645e-02 eta: 12:23:28 time: 0.3436 data_time: 0.0056 loss: 1.5054 03/04 13:39:43 - mmengine - INFO - Epoch(train) [76][1000/5005] lr: 1.4645e-02 eta: 12:22:52 time: 0.3526 data_time: 0.0052 loss: 1.4024 03/04 13:40:18 - mmengine - INFO - Epoch(train) [76][1100/5005] lr: 1.4645e-02 eta: 12:22:16 time: 0.3503 data_time: 0.0055 loss: 1.5794 03/04 13:40:54 - mmengine - INFO - Epoch(train) [76][1200/5005] lr: 1.4645e-02 eta: 12:21:40 time: 0.3493 data_time: 0.0053 loss: 1.6003 03/04 13:41:30 - mmengine - INFO - Epoch(train) [76][1300/5005] lr: 1.4645e-02 eta: 12:21:04 time: 0.3596 data_time: 0.0052 loss: 1.4993 03/04 13:42:05 - mmengine - INFO - Epoch(train) [76][1400/5005] lr: 1.4645e-02 eta: 12:20:28 time: 0.3577 data_time: 0.0056 loss: 1.5260 03/04 13:42:41 - mmengine - INFO - Epoch(train) [76][1500/5005] lr: 1.4645e-02 eta: 12:19:52 time: 0.3675 data_time: 0.0052 loss: 1.4753 03/04 13:43:16 - mmengine - INFO - Epoch(train) [76][1600/5005] lr: 1.4645e-02 eta: 12:19:16 time: 0.3503 data_time: 0.0054 loss: 1.2829 03/04 13:43:25 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 13:43:52 - mmengine - INFO - Epoch(train) [76][1700/5005] lr: 1.4645e-02 eta: 12:18:40 time: 0.3638 data_time: 0.0055 loss: 1.4949 03/04 13:44:27 - mmengine - INFO - Epoch(train) [76][1800/5005] lr: 1.4645e-02 eta: 12:18:04 time: 0.3470 data_time: 0.0056 loss: 1.4759 03/04 13:45:03 - mmengine - INFO - Epoch(train) [76][1900/5005] lr: 1.4645e-02 eta: 12:17:28 time: 0.3541 data_time: 0.0053 loss: 1.2932 03/04 13:45:39 - mmengine - INFO - Epoch(train) [76][2000/5005] lr: 1.4645e-02 eta: 12:16:52 time: 0.3437 data_time: 0.0051 loss: 1.4946 03/04 13:46:14 - mmengine - INFO - Epoch(train) [76][2100/5005] lr: 1.4645e-02 eta: 12:16:16 time: 0.3724 data_time: 0.0052 loss: 1.3751 03/04 13:46:50 - mmengine - INFO - Epoch(train) [76][2200/5005] lr: 1.4645e-02 eta: 12:15:40 time: 0.3530 data_time: 0.0053 loss: 1.3651 03/04 13:47:25 - mmengine - INFO - Epoch(train) [76][2300/5005] lr: 1.4645e-02 eta: 12:15:04 time: 0.3594 data_time: 0.0058 loss: 1.4694 03/04 13:48:01 - mmengine - INFO - Epoch(train) [76][2400/5005] lr: 1.4645e-02 eta: 12:14:28 time: 0.3453 data_time: 0.0051 loss: 1.2776 03/04 13:48:37 - mmengine - INFO - Epoch(train) [76][2500/5005] lr: 1.4645e-02 eta: 12:13:52 time: 0.3918 data_time: 0.0055 loss: 1.6059 03/04 13:49:12 - mmengine - INFO - Epoch(train) [76][2600/5005] lr: 1.4645e-02 eta: 12:13:15 time: 0.3369 data_time: 0.0059 loss: 1.1352 03/04 13:49:21 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 13:49:48 - mmengine - INFO - Epoch(train) [76][2700/5005] lr: 1.4645e-02 eta: 12:12:39 time: 0.3450 data_time: 0.0053 loss: 1.4863 03/04 13:50:23 - mmengine - INFO - Epoch(train) [76][2800/5005] lr: 1.4645e-02 eta: 12:12:03 time: 0.3483 data_time: 0.0055 loss: 1.4048 03/04 13:50:59 - mmengine - INFO - Epoch(train) [76][2900/5005] lr: 1.4645e-02 eta: 12:11:27 time: 0.3562 data_time: 0.0052 loss: 1.6638 03/04 13:51:34 - mmengine - INFO - Epoch(train) [76][3000/5005] lr: 1.4645e-02 eta: 12:10:51 time: 0.3492 data_time: 0.0052 loss: 1.5078 03/04 13:52:10 - mmengine - INFO - Epoch(train) [76][3100/5005] lr: 1.4645e-02 eta: 12:10:15 time: 0.3483 data_time: 0.0054 loss: 1.5228 03/04 13:52:46 - mmengine - INFO - Epoch(train) [76][3200/5005] lr: 1.4645e-02 eta: 12:09:39 time: 0.3601 data_time: 0.0057 loss: 1.3433 03/04 13:53:21 - mmengine - INFO - Epoch(train) [76][3300/5005] lr: 1.4645e-02 eta: 12:09:03 time: 0.3620 data_time: 0.0053 loss: 1.3842 03/04 13:53:57 - mmengine - INFO - Epoch(train) [76][3400/5005] lr: 1.4645e-02 eta: 12:08:27 time: 0.3492 data_time: 0.0054 loss: 1.3891 03/04 13:54:32 - mmengine - INFO - Epoch(train) [76][3500/5005] lr: 1.4645e-02 eta: 12:07:51 time: 0.3507 data_time: 0.0052 loss: 1.4065 03/04 13:55:08 - mmengine - INFO - Epoch(train) [76][3600/5005] lr: 1.4645e-02 eta: 12:07:15 time: 0.3679 data_time: 0.0051 loss: 1.4927 03/04 13:55:17 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 13:55:43 - mmengine - INFO - Epoch(train) [76][3700/5005] lr: 1.4645e-02 eta: 12:06:39 time: 0.3501 data_time: 0.0052 loss: 1.3046 03/04 13:56:19 - mmengine - INFO - Epoch(train) [76][3800/5005] lr: 1.4645e-02 eta: 12:06:03 time: 0.3468 data_time: 0.0055 loss: 1.5252 03/04 13:56:54 - mmengine - INFO - Epoch(train) [76][3900/5005] lr: 1.4645e-02 eta: 12:05:27 time: 0.3571 data_time: 0.0055 loss: 1.3792 03/04 13:57:30 - mmengine - INFO - Epoch(train) [76][4000/5005] lr: 1.4645e-02 eta: 12:04:51 time: 0.3446 data_time: 0.0053 loss: 1.4757 03/04 13:58:06 - mmengine - INFO - Epoch(train) [76][4100/5005] lr: 1.4645e-02 eta: 12:04:15 time: 0.3632 data_time: 0.0055 loss: 1.4933 03/04 13:58:41 - mmengine - INFO - Epoch(train) [76][4200/5005] lr: 1.4645e-02 eta: 12:03:39 time: 0.3521 data_time: 0.0053 loss: 1.2706 03/04 13:59:17 - mmengine - INFO - Epoch(train) [76][4300/5005] lr: 1.4645e-02 eta: 12:03:02 time: 0.3580 data_time: 0.0054 loss: 1.3260 03/04 13:59:52 - mmengine - INFO - Epoch(train) [76][4400/5005] lr: 1.4645e-02 eta: 12:02:26 time: 0.3418 data_time: 0.0057 loss: 1.6049 03/04 14:00:28 - mmengine - INFO - Epoch(train) [76][4500/5005] lr: 1.4645e-02 eta: 12:01:50 time: 0.3477 data_time: 0.0058 loss: 1.3580 03/04 14:01:04 - mmengine - INFO - Epoch(train) [76][4600/5005] lr: 1.4645e-02 eta: 12:01:14 time: 0.3536 data_time: 0.0053 loss: 1.5437 03/04 14:01:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 14:01:39 - mmengine - INFO - Epoch(train) [76][4700/5005] lr: 1.4645e-02 eta: 12:00:38 time: 0.3612 data_time: 0.0052 loss: 1.4981 03/04 14:02:16 - mmengine - INFO - Epoch(train) [76][4800/5005] lr: 1.4645e-02 eta: 12:00:03 time: 0.3481 data_time: 0.0053 loss: 1.3543 03/04 14:02:53 - mmengine - INFO - Epoch(train) [76][4900/5005] lr: 1.4645e-02 eta: 11:59:27 time: 0.4536 data_time: 0.0059 loss: 1.4419 03/04 14:03:37 - mmengine - INFO - Epoch(train) [76][5000/5005] lr: 1.4645e-02 eta: 11:58:53 time: 0.3767 data_time: 0.0053 loss: 1.3296 03/04 14:03:39 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 14:03:42 - mmengine - INFO - Saving checkpoint at 76 epochs 03/04 14:04:00 - mmengine - INFO - Epoch(val) [76][100/196] eta: 0:00:15 time: 0.0421 data_time: 0.0004 03/04 14:04:17 - mmengine - INFO - Epoch(val) [76][196/196] accuracy/top1: 70.3660 accuracy/top5: 90.1740 03/04 14:05:02 - mmengine - INFO - Epoch(train) [77][ 100/5005] lr: 1.3552e-02 eta: 11:58:19 time: 0.3449 data_time: 0.0057 loss: 1.3772 03/04 14:05:37 - mmengine - INFO - Epoch(train) [77][ 200/5005] lr: 1.3552e-02 eta: 11:57:43 time: 0.3536 data_time: 0.0058 loss: 1.4259 03/04 14:06:13 - mmengine - INFO - Epoch(train) [77][ 300/5005] lr: 1.3552e-02 eta: 11:57:07 time: 0.3614 data_time: 0.0052 loss: 1.2774 03/04 14:06:49 - mmengine - INFO - Epoch(train) [77][ 400/5005] lr: 1.3552e-02 eta: 11:56:31 time: 0.3635 data_time: 0.0056 loss: 1.3734 03/04 14:07:24 - mmengine - INFO - Epoch(train) [77][ 500/5005] lr: 1.3552e-02 eta: 11:55:54 time: 0.3665 data_time: 0.0054 loss: 1.4711 03/04 14:08:00 - mmengine - INFO - Epoch(train) [77][ 600/5005] lr: 1.3552e-02 eta: 11:55:19 time: 0.3548 data_time: 0.0052 loss: 1.5638 03/04 14:08:08 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 14:08:36 - mmengine - INFO - Epoch(train) [77][ 700/5005] lr: 1.3552e-02 eta: 11:54:43 time: 0.3512 data_time: 0.0055 loss: 1.2955 03/04 14:09:12 - mmengine - INFO - Epoch(train) [77][ 800/5005] lr: 1.3552e-02 eta: 11:54:06 time: 0.3427 data_time: 0.0057 loss: 1.3870 03/04 14:09:48 - mmengine - INFO - Epoch(train) [77][ 900/5005] lr: 1.3552e-02 eta: 11:53:31 time: 0.3533 data_time: 0.0058 loss: 1.3341 03/04 14:10:23 - mmengine - INFO - Epoch(train) [77][1000/5005] lr: 1.3552e-02 eta: 11:52:55 time: 0.3852 data_time: 0.0053 loss: 1.4310 03/04 14:10:59 - mmengine - INFO - Epoch(train) [77][1100/5005] lr: 1.3552e-02 eta: 11:52:18 time: 0.3454 data_time: 0.0058 loss: 1.4697 03/04 14:11:35 - mmengine - INFO - Epoch(train) [77][1200/5005] lr: 1.3552e-02 eta: 11:51:42 time: 0.3594 data_time: 0.0056 loss: 1.3652 03/04 14:12:10 - mmengine - INFO - Epoch(train) [77][1300/5005] lr: 1.3552e-02 eta: 11:51:06 time: 0.3631 data_time: 0.0054 loss: 1.4661 03/04 14:12:45 - mmengine - INFO - Epoch(train) [77][1400/5005] lr: 1.3552e-02 eta: 11:50:30 time: 0.3460 data_time: 0.0053 loss: 1.4426 03/04 14:13:21 - mmengine - INFO - Epoch(train) [77][1500/5005] lr: 1.3552e-02 eta: 11:49:54 time: 0.3484 data_time: 0.0054 loss: 1.1474 03/04 14:13:56 - mmengine - INFO - Epoch(train) [77][1600/5005] lr: 1.3552e-02 eta: 11:49:18 time: 0.3633 data_time: 0.0058 loss: 1.4921 03/04 14:14:04 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 14:14:32 - mmengine - INFO - Epoch(train) [77][1700/5005] lr: 1.3552e-02 eta: 11:48:42 time: 0.3499 data_time: 0.0054 loss: 1.1602 03/04 14:15:08 - mmengine - INFO - Epoch(train) [77][1800/5005] lr: 1.3552e-02 eta: 11:48:06 time: 0.3551 data_time: 0.0053 loss: 1.5518 03/04 14:15:43 - mmengine - INFO - Epoch(train) [77][1900/5005] lr: 1.3552e-02 eta: 11:47:30 time: 0.3440 data_time: 0.0057 loss: 1.5559 03/04 14:16:19 - mmengine - INFO - Epoch(train) [77][2000/5005] lr: 1.3552e-02 eta: 11:46:54 time: 0.3513 data_time: 0.0051 loss: 1.2642 03/04 14:16:55 - mmengine - INFO - Epoch(train) [77][2100/5005] lr: 1.3552e-02 eta: 11:46:18 time: 0.3639 data_time: 0.0053 loss: 1.5833 03/04 14:17:30 - mmengine - INFO - Epoch(train) [77][2200/5005] lr: 1.3552e-02 eta: 11:45:42 time: 0.3493 data_time: 0.0053 loss: 1.2921 03/04 14:18:06 - mmengine - INFO - Epoch(train) [77][2300/5005] lr: 1.3552e-02 eta: 11:45:06 time: 0.4032 data_time: 0.0054 loss: 1.4443 03/04 14:18:41 - mmengine - INFO - Epoch(train) [77][2400/5005] lr: 1.3552e-02 eta: 11:44:30 time: 0.3613 data_time: 0.0053 loss: 1.2006 03/04 14:19:17 - mmengine - INFO - Epoch(train) [77][2500/5005] lr: 1.3552e-02 eta: 11:43:54 time: 0.3464 data_time: 0.0053 loss: 1.3967 03/04 14:19:52 - mmengine - INFO - Epoch(train) [77][2600/5005] lr: 1.3552e-02 eta: 11:43:18 time: 0.3430 data_time: 0.0054 loss: 1.5155 03/04 14:20:00 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 14:20:28 - mmengine - INFO - Epoch(train) [77][2700/5005] lr: 1.3552e-02 eta: 11:42:42 time: 0.3511 data_time: 0.0054 loss: 1.2935 03/04 14:21:04 - mmengine - INFO - Epoch(train) [77][2800/5005] lr: 1.3552e-02 eta: 11:42:06 time: 0.3591 data_time: 0.0051 loss: 1.5347 03/04 14:21:39 - mmengine - INFO - Epoch(train) [77][2900/5005] lr: 1.3552e-02 eta: 11:41:30 time: 0.3479 data_time: 0.0051 loss: 1.3344 03/04 14:22:15 - mmengine - INFO - Epoch(train) [77][3000/5005] lr: 1.3552e-02 eta: 11:40:54 time: 0.3472 data_time: 0.0052 loss: 1.4602 03/04 14:22:51 - mmengine - INFO - Epoch(train) [77][3100/5005] lr: 1.3552e-02 eta: 11:40:17 time: 0.3501 data_time: 0.0052 loss: 1.4079 03/04 14:23:26 - mmengine - INFO - Epoch(train) [77][3200/5005] lr: 1.3552e-02 eta: 11:39:42 time: 0.3761 data_time: 0.0052 loss: 1.3732 03/04 14:24:02 - mmengine - INFO - Epoch(train) [77][3300/5005] lr: 1.3552e-02 eta: 11:39:05 time: 0.3408 data_time: 0.0054 loss: 1.4177 03/04 14:24:38 - mmengine - INFO - Epoch(train) [77][3400/5005] lr: 1.3552e-02 eta: 11:38:29 time: 0.3455 data_time: 0.0055 loss: 1.1338 03/04 14:25:13 - mmengine - INFO - Epoch(train) [77][3500/5005] lr: 1.3552e-02 eta: 11:37:53 time: 0.3479 data_time: 0.0052 loss: 1.5295 03/04 14:25:49 - mmengine - INFO - Epoch(train) [77][3600/5005] lr: 1.3552e-02 eta: 11:37:17 time: 0.3543 data_time: 0.0056 loss: 1.5015 03/04 14:25:56 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 14:26:24 - mmengine - INFO - Epoch(train) [77][3700/5005] lr: 1.3552e-02 eta: 11:36:41 time: 0.3490 data_time: 0.0057 loss: 1.3315 03/04 14:27:00 - mmengine - INFO - Epoch(train) [77][3800/5005] lr: 1.3552e-02 eta: 11:36:05 time: 0.3454 data_time: 0.0054 loss: 1.4310 03/04 14:27:35 - mmengine - INFO - Epoch(train) [77][3900/5005] lr: 1.3552e-02 eta: 11:35:29 time: 0.3476 data_time: 0.0053 loss: 1.3448 03/04 14:28:11 - mmengine - INFO - Epoch(train) [77][4000/5005] lr: 1.3552e-02 eta: 11:34:53 time: 0.3642 data_time: 0.0055 loss: 1.4003 03/04 14:28:47 - mmengine - INFO - Epoch(train) [77][4100/5005] lr: 1.3552e-02 eta: 11:34:17 time: 0.3618 data_time: 0.0055 loss: 1.5082 03/04 14:29:22 - mmengine - INFO - Epoch(train) [77][4200/5005] lr: 1.3552e-02 eta: 11:33:41 time: 0.3507 data_time: 0.0052 loss: 1.4294 03/04 14:29:58 - mmengine - INFO - Epoch(train) [77][4300/5005] lr: 1.3552e-02 eta: 11:33:05 time: 0.3499 data_time: 0.0054 loss: 1.4699 03/04 14:30:33 - mmengine - INFO - Epoch(train) [77][4400/5005] lr: 1.3552e-02 eta: 11:32:29 time: 0.3513 data_time: 0.0055 loss: 1.4665 03/04 14:31:09 - mmengine - INFO - Epoch(train) [77][4500/5005] lr: 1.3552e-02 eta: 11:31:53 time: 0.3508 data_time: 0.0059 loss: 1.3186 03/04 14:31:44 - mmengine - INFO - Epoch(train) [77][4600/5005] lr: 1.3552e-02 eta: 11:31:17 time: 0.3485 data_time: 0.0051 loss: 1.4831 03/04 14:31:51 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 14:32:20 - mmengine - INFO - Epoch(train) [77][4700/5005] lr: 1.3552e-02 eta: 11:30:41 time: 0.3466 data_time: 0.0054 loss: 1.3621 03/04 14:32:55 - mmengine - INFO - Epoch(train) [77][4800/5005] lr: 1.3552e-02 eta: 11:30:05 time: 0.3525 data_time: 0.0058 loss: 1.2896 03/04 14:33:33 - mmengine - INFO - Epoch(train) [77][4900/5005] lr: 1.3552e-02 eta: 11:29:29 time: 0.4613 data_time: 0.0063 loss: 1.5215 03/04 14:34:16 - mmengine - INFO - Epoch(train) [77][5000/5005] lr: 1.3552e-02 eta: 11:28:55 time: 0.4557 data_time: 0.0056 loss: 1.4586 03/04 14:34:18 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 14:34:21 - mmengine - INFO - Saving checkpoint at 77 epochs 03/04 14:34:39 - mmengine - INFO - Epoch(val) [77][100/196] eta: 0:00:15 time: 0.0504 data_time: 0.0003 03/04 14:34:55 - mmengine - INFO - Epoch(val) [77][196/196] accuracy/top1: 70.6640 accuracy/top5: 90.3260 03/04 14:35:39 - mmengine - INFO - Epoch(train) [78][ 100/5005] lr: 1.2494e-02 eta: 11:28:20 time: 0.3485 data_time: 0.0053 loss: 1.3025 03/04 14:36:15 - mmengine - INFO - Epoch(train) [78][ 200/5005] lr: 1.2494e-02 eta: 11:27:44 time: 0.3459 data_time: 0.0053 loss: 1.5482 03/04 14:36:51 - mmengine - INFO - Epoch(train) [78][ 300/5005] lr: 1.2494e-02 eta: 11:27:08 time: 0.3496 data_time: 0.0054 loss: 1.3863 03/04 14:37:27 - mmengine - INFO - Epoch(train) [78][ 400/5005] lr: 1.2494e-02 eta: 11:26:32 time: 0.3464 data_time: 0.0054 loss: 1.1303 03/04 14:38:03 - mmengine - INFO - Epoch(train) [78][ 500/5005] lr: 1.2494e-02 eta: 11:25:56 time: 0.3590 data_time: 0.0053 loss: 1.3283 03/04 14:38:39 - mmengine - INFO - Epoch(train) [78][ 600/5005] lr: 1.2494e-02 eta: 11:25:20 time: 0.3617 data_time: 0.0053 loss: 1.5297 03/04 14:38:44 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 14:39:15 - mmengine - INFO - Epoch(train) [78][ 700/5005] lr: 1.2494e-02 eta: 11:24:44 time: 0.3453 data_time: 0.0053 loss: 1.1995 03/04 14:39:50 - mmengine - INFO - Epoch(train) [78][ 800/5005] lr: 1.2494e-02 eta: 11:24:08 time: 0.3487 data_time: 0.0056 loss: 1.4713 03/04 14:40:26 - mmengine - INFO - Epoch(train) [78][ 900/5005] lr: 1.2494e-02 eta: 11:23:32 time: 0.3544 data_time: 0.0055 loss: 1.4357 03/04 14:41:01 - mmengine - INFO - Epoch(train) [78][1000/5005] lr: 1.2494e-02 eta: 11:22:56 time: 0.3462 data_time: 0.0054 loss: 1.2216 03/04 14:41:36 - mmengine - INFO - Epoch(train) [78][1100/5005] lr: 1.2494e-02 eta: 11:22:20 time: 0.3437 data_time: 0.0051 loss: 1.5630 03/04 14:42:12 - mmengine - INFO - Epoch(train) [78][1200/5005] lr: 1.2494e-02 eta: 11:21:44 time: 0.3458 data_time: 0.0053 loss: 1.5385 03/04 14:42:48 - mmengine - INFO - Epoch(train) [78][1300/5005] lr: 1.2494e-02 eta: 11:21:08 time: 0.3608 data_time: 0.0055 loss: 1.3585 03/04 14:43:23 - mmengine - INFO - Epoch(train) [78][1400/5005] lr: 1.2494e-02 eta: 11:20:32 time: 0.3516 data_time: 0.0058 loss: 1.2676 03/04 14:43:59 - mmengine - INFO - Epoch(train) [78][1500/5005] lr: 1.2494e-02 eta: 11:19:56 time: 0.3716 data_time: 0.0056 loss: 1.5027 03/04 14:44:35 - mmengine - INFO - Epoch(train) [78][1600/5005] lr: 1.2494e-02 eta: 11:19:20 time: 0.3539 data_time: 0.0059 loss: 1.3012 03/04 14:44:40 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 14:45:11 - mmengine - INFO - Epoch(train) [78][1700/5005] lr: 1.2494e-02 eta: 11:18:44 time: 0.3562 data_time: 0.0058 loss: 1.2819 03/04 14:45:46 - mmengine - INFO - Epoch(train) [78][1800/5005] lr: 1.2494e-02 eta: 11:18:08 time: 0.3457 data_time: 0.0053 loss: 1.3493 03/04 14:46:22 - mmengine - INFO - Epoch(train) [78][1900/5005] lr: 1.2494e-02 eta: 11:17:32 time: 0.3613 data_time: 0.0055 loss: 1.5239 03/04 14:46:57 - mmengine - INFO - Epoch(train) [78][2000/5005] lr: 1.2494e-02 eta: 11:16:56 time: 0.3539 data_time: 0.0055 loss: 1.5518 03/04 14:47:33 - mmengine - INFO - Epoch(train) [78][2100/5005] lr: 1.2494e-02 eta: 11:16:20 time: 0.3490 data_time: 0.0057 loss: 1.5479 03/04 14:48:08 - mmengine - INFO - Epoch(train) [78][2200/5005] lr: 1.2494e-02 eta: 11:15:44 time: 0.3447 data_time: 0.0054 loss: 1.6983 03/04 14:48:44 - mmengine - INFO - Epoch(train) [78][2300/5005] lr: 1.2494e-02 eta: 11:15:08 time: 0.3506 data_time: 0.0053 loss: 1.4036 03/04 14:49:19 - mmengine - INFO - Epoch(train) [78][2400/5005] lr: 1.2494e-02 eta: 11:14:32 time: 0.3494 data_time: 0.0053 loss: 1.3153 03/04 14:49:55 - mmengine - INFO - Epoch(train) [78][2500/5005] lr: 1.2494e-02 eta: 11:13:56 time: 0.3528 data_time: 0.0055 loss: 1.3977 03/04 14:50:31 - mmengine - INFO - Epoch(train) [78][2600/5005] lr: 1.2494e-02 eta: 11:13:20 time: 0.3603 data_time: 0.0054 loss: 1.5217 03/04 14:50:36 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 14:51:06 - mmengine - INFO - Epoch(train) [78][2700/5005] lr: 1.2494e-02 eta: 11:12:44 time: 0.3470 data_time: 0.0054 loss: 1.3990 03/04 14:51:42 - mmengine - INFO - Epoch(train) [78][2800/5005] lr: 1.2494e-02 eta: 11:12:07 time: 0.3819 data_time: 0.0052 loss: 1.4104 03/04 14:52:17 - mmengine - INFO - Epoch(train) [78][2900/5005] lr: 1.2494e-02 eta: 11:11:31 time: 0.3645 data_time: 0.0055 loss: 1.2381 03/04 14:52:53 - mmengine - INFO - Epoch(train) [78][3000/5005] lr: 1.2494e-02 eta: 11:10:55 time: 0.3478 data_time: 0.0053 loss: 1.3106 03/04 14:53:28 - mmengine - INFO - Epoch(train) [78][3100/5005] lr: 1.2494e-02 eta: 11:10:19 time: 0.3487 data_time: 0.0056 loss: 1.2482 03/04 14:54:04 - mmengine - INFO - Epoch(train) [78][3200/5005] lr: 1.2494e-02 eta: 11:09:43 time: 0.3439 data_time: 0.0053 loss: 1.3558 03/04 14:54:40 - mmengine - INFO - Epoch(train) [78][3300/5005] lr: 1.2494e-02 eta: 11:09:07 time: 0.3590 data_time: 0.0052 loss: 1.6039 03/04 14:55:15 - mmengine - INFO - Epoch(train) [78][3400/5005] lr: 1.2494e-02 eta: 11:08:31 time: 0.3503 data_time: 0.0054 loss: 1.2551 03/04 14:55:51 - mmengine - INFO - Epoch(train) [78][3500/5005] lr: 1.2494e-02 eta: 11:07:55 time: 0.3532 data_time: 0.0053 loss: 1.6243 03/04 14:56:26 - mmengine - INFO - Epoch(train) [78][3600/5005] lr: 1.2494e-02 eta: 11:07:19 time: 0.3405 data_time: 0.0056 loss: 1.2414 03/04 14:56:31 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 14:57:01 - mmengine - INFO - Epoch(train) [78][3700/5005] lr: 1.2494e-02 eta: 11:06:43 time: 0.3510 data_time: 0.0059 loss: 1.5474 03/04 14:57:37 - mmengine - INFO - Epoch(train) [78][3800/5005] lr: 1.2494e-02 eta: 11:06:07 time: 0.3504 data_time: 0.0052 loss: 1.2333 03/04 14:58:13 - mmengine - INFO - Epoch(train) [78][3900/5005] lr: 1.2494e-02 eta: 11:05:31 time: 0.3485 data_time: 0.0056 loss: 1.4512 03/04 14:58:49 - mmengine - INFO - Epoch(train) [78][4000/5005] lr: 1.2494e-02 eta: 11:04:55 time: 0.3582 data_time: 0.0052 loss: 1.4740 03/04 14:59:24 - mmengine - INFO - Epoch(train) [78][4100/5005] lr: 1.2494e-02 eta: 11:04:19 time: 0.3832 data_time: 0.0052 loss: 1.4069 03/04 15:00:00 - mmengine - INFO - Epoch(train) [78][4200/5005] lr: 1.2494e-02 eta: 11:03:43 time: 0.3449 data_time: 0.0055 loss: 1.4511 03/04 15:00:35 - mmengine - INFO - Epoch(train) [78][4300/5005] lr: 1.2494e-02 eta: 11:03:07 time: 0.3642 data_time: 0.0054 loss: 1.3367 03/04 15:01:11 - mmengine - INFO - Epoch(train) [78][4400/5005] lr: 1.2494e-02 eta: 11:02:31 time: 0.3613 data_time: 0.0052 loss: 1.3556 03/04 15:01:47 - mmengine - INFO - Epoch(train) [78][4500/5005] lr: 1.2494e-02 eta: 11:01:55 time: 0.3574 data_time: 0.0053 loss: 1.5886 03/04 15:02:23 - mmengine - INFO - Epoch(train) [78][4600/5005] lr: 1.2494e-02 eta: 11:01:19 time: 0.3606 data_time: 0.0054 loss: 1.2472 03/04 15:02:28 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 15:02:58 - mmengine - INFO - Epoch(train) [78][4700/5005] lr: 1.2494e-02 eta: 11:00:43 time: 0.3458 data_time: 0.0055 loss: 1.2822 03/04 15:03:33 - mmengine - INFO - Epoch(train) [78][4800/5005] lr: 1.2494e-02 eta: 11:00:07 time: 0.3460 data_time: 0.0052 loss: 1.3114 03/04 15:04:10 - mmengine - INFO - Epoch(train) [78][4900/5005] lr: 1.2494e-02 eta: 10:59:31 time: 0.4435 data_time: 0.0061 loss: 1.6632 03/04 15:04:54 - mmengine - INFO - Epoch(train) [78][5000/5005] lr: 1.2494e-02 eta: 10:58:57 time: 0.4601 data_time: 0.0059 loss: 1.2202 03/04 15:04:56 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 15:04:59 - mmengine - INFO - Saving checkpoint at 78 epochs 03/04 15:05:16 - mmengine - INFO - Epoch(val) [78][100/196] eta: 0:00:15 time: 0.0406 data_time: 0.0002 03/04 15:05:32 - mmengine - INFO - Epoch(val) [78][196/196] accuracy/top1: 71.4240 accuracy/top5: 90.4020 03/04 15:06:18 - mmengine - INFO - Epoch(train) [79][ 100/5005] lr: 1.1474e-02 eta: 10:58:22 time: 0.3536 data_time: 0.0054 loss: 1.1687 03/04 15:06:54 - mmengine - INFO - Epoch(train) [79][ 200/5005] lr: 1.1474e-02 eta: 10:57:46 time: 0.3519 data_time: 0.0055 loss: 1.3967 03/04 15:07:29 - mmengine - INFO - Epoch(train) [79][ 300/5005] lr: 1.1474e-02 eta: 10:57:10 time: 0.3447 data_time: 0.0055 loss: 1.3069 03/04 15:08:05 - mmengine - INFO - Epoch(train) [79][ 400/5005] lr: 1.1474e-02 eta: 10:56:34 time: 0.3664 data_time: 0.0055 loss: 1.4139 03/04 15:08:40 - mmengine - INFO - Epoch(train) [79][ 500/5005] lr: 1.1474e-02 eta: 10:55:58 time: 0.3591 data_time: 0.0055 loss: 1.4943 03/04 15:09:16 - mmengine - INFO - Epoch(train) [79][ 600/5005] lr: 1.1474e-02 eta: 10:55:22 time: 0.3507 data_time: 0.0055 loss: 1.3196 03/04 15:09:20 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 15:09:52 - mmengine - INFO - Epoch(train) [79][ 700/5005] lr: 1.1474e-02 eta: 10:54:46 time: 0.3599 data_time: 0.0053 loss: 1.2743 03/04 15:10:27 - mmengine - INFO - Epoch(train) [79][ 800/5005] lr: 1.1474e-02 eta: 10:54:10 time: 0.3480 data_time: 0.0055 loss: 1.4292 03/04 15:11:03 - mmengine - INFO - Epoch(train) [79][ 900/5005] lr: 1.1474e-02 eta: 10:53:34 time: 0.3521 data_time: 0.0055 loss: 1.2136 03/04 15:11:39 - mmengine - INFO - Epoch(train) [79][1000/5005] lr: 1.1474e-02 eta: 10:52:58 time: 0.3521 data_time: 0.0055 loss: 1.4363 03/04 15:12:15 - mmengine - INFO - Epoch(train) [79][1100/5005] lr: 1.1474e-02 eta: 10:52:22 time: 0.3470 data_time: 0.0057 loss: 1.4693 03/04 15:12:51 - mmengine - INFO - Epoch(train) [79][1200/5005] lr: 1.1474e-02 eta: 10:51:46 time: 0.3516 data_time: 0.0053 loss: 1.3773 03/04 15:13:26 - mmengine - INFO - Epoch(train) [79][1300/5005] lr: 1.1474e-02 eta: 10:51:10 time: 0.3642 data_time: 0.0057 loss: 1.2863 03/04 15:14:03 - mmengine - INFO - Epoch(train) [79][1400/5005] lr: 1.1474e-02 eta: 10:50:34 time: 0.3605 data_time: 0.0055 loss: 1.3646 03/04 15:14:39 - mmengine - INFO - Epoch(train) [79][1500/5005] lr: 1.1474e-02 eta: 10:49:58 time: 0.3549 data_time: 0.0056 loss: 1.4464 03/04 15:15:14 - mmengine - INFO - Epoch(train) [79][1600/5005] lr: 1.1474e-02 eta: 10:49:22 time: 0.3526 data_time: 0.0054 loss: 1.5183 03/04 15:15:18 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 15:15:50 - mmengine - INFO - Epoch(train) [79][1700/5005] lr: 1.1474e-02 eta: 10:48:47 time: 0.3515 data_time: 0.0056 loss: 1.3576 03/04 15:16:26 - mmengine - INFO - Epoch(train) [79][1800/5005] lr: 1.1474e-02 eta: 10:48:10 time: 0.3632 data_time: 0.0057 loss: 1.2705 03/04 15:17:02 - mmengine - INFO - Epoch(train) [79][1900/5005] lr: 1.1474e-02 eta: 10:47:34 time: 0.3450 data_time: 0.0058 loss: 1.4452 03/04 15:17:38 - mmengine - INFO - Epoch(train) [79][2000/5005] lr: 1.1474e-02 eta: 10:46:59 time: 0.3624 data_time: 0.0056 loss: 1.3456 03/04 15:18:13 - mmengine - INFO - Epoch(train) [79][2100/5005] lr: 1.1474e-02 eta: 10:46:22 time: 0.3624 data_time: 0.0058 loss: 1.0806 03/04 15:18:49 - mmengine - INFO - Epoch(train) [79][2200/5005] lr: 1.1474e-02 eta: 10:45:46 time: 0.3448 data_time: 0.0055 loss: 1.4314 03/04 15:19:24 - mmengine - INFO - Epoch(train) [79][2300/5005] lr: 1.1474e-02 eta: 10:45:10 time: 0.3539 data_time: 0.0055 loss: 1.3191 03/04 15:20:00 - mmengine - INFO - Epoch(train) [79][2400/5005] lr: 1.1474e-02 eta: 10:44:34 time: 0.3550 data_time: 0.0055 loss: 1.2698 03/04 15:20:35 - mmengine - INFO - Epoch(train) [79][2500/5005] lr: 1.1474e-02 eta: 10:43:58 time: 0.3426 data_time: 0.0053 loss: 1.2178 03/04 15:21:11 - mmengine - INFO - Epoch(train) [79][2600/5005] lr: 1.1474e-02 eta: 10:43:22 time: 0.3530 data_time: 0.0056 loss: 1.4289 03/04 15:21:15 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 15:21:46 - mmengine - INFO - Epoch(train) [79][2700/5005] lr: 1.1474e-02 eta: 10:42:46 time: 0.3494 data_time: 0.0053 loss: 1.3291 03/04 15:22:22 - mmengine - INFO - Epoch(train) [79][2800/5005] lr: 1.1474e-02 eta: 10:42:10 time: 0.3698 data_time: 0.0055 loss: 1.2014 03/04 15:22:58 - mmengine - INFO - Epoch(train) [79][2900/5005] lr: 1.1474e-02 eta: 10:41:34 time: 0.3672 data_time: 0.0053 loss: 1.3858 03/04 15:23:33 - mmengine - INFO - Epoch(train) [79][3000/5005] lr: 1.1474e-02 eta: 10:40:58 time: 0.3568 data_time: 0.0055 loss: 1.3130 03/04 15:24:09 - mmengine - INFO - Epoch(train) [79][3100/5005] lr: 1.1474e-02 eta: 10:40:22 time: 0.3648 data_time: 0.0054 loss: 1.4575 03/04 15:24:44 - mmengine - INFO - Epoch(train) [79][3200/5005] lr: 1.1474e-02 eta: 10:39:46 time: 0.3468 data_time: 0.0054 loss: 1.2392 03/04 15:25:20 - mmengine - INFO - Epoch(train) [79][3300/5005] lr: 1.1474e-02 eta: 10:39:10 time: 0.3459 data_time: 0.0052 loss: 1.3922 03/04 15:25:56 - mmengine - INFO - Epoch(train) [79][3400/5005] lr: 1.1474e-02 eta: 10:38:34 time: 0.3474 data_time: 0.0056 loss: 1.4804 03/04 15:26:31 - mmengine - INFO - Epoch(train) [79][3500/5005] lr: 1.1474e-02 eta: 10:37:58 time: 0.3473 data_time: 0.0055 loss: 1.2877 03/04 15:27:07 - mmengine - INFO - Epoch(train) [79][3600/5005] lr: 1.1474e-02 eta: 10:37:22 time: 0.3488 data_time: 0.0056 loss: 1.2330 03/04 15:27:10 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 15:27:42 - mmengine - INFO - Epoch(train) [79][3700/5005] lr: 1.1474e-02 eta: 10:36:46 time: 0.3580 data_time: 0.0055 loss: 1.3613 03/04 15:28:18 - mmengine - INFO - Epoch(train) [79][3800/5005] lr: 1.1474e-02 eta: 10:36:10 time: 0.3493 data_time: 0.0055 loss: 1.3472 03/04 15:28:54 - mmengine - INFO - Epoch(train) [79][3900/5005] lr: 1.1474e-02 eta: 10:35:34 time: 0.3820 data_time: 0.0052 loss: 1.3811 03/04 15:29:29 - mmengine - INFO - Epoch(train) [79][4000/5005] lr: 1.1474e-02 eta: 10:34:58 time: 0.3482 data_time: 0.0058 loss: 1.2268 03/04 15:30:05 - mmengine - INFO - Epoch(train) [79][4100/5005] lr: 1.1474e-02 eta: 10:34:22 time: 0.3459 data_time: 0.0057 loss: 1.3750 03/04 15:30:40 - mmengine - INFO - Epoch(train) [79][4200/5005] lr: 1.1474e-02 eta: 10:33:46 time: 0.3544 data_time: 0.0055 loss: 1.4279 03/04 15:31:16 - mmengine - INFO - Epoch(train) [79][4300/5005] lr: 1.1474e-02 eta: 10:33:10 time: 0.3568 data_time: 0.0054 loss: 1.3742 03/04 15:31:52 - mmengine - INFO - Epoch(train) [79][4400/5005] lr: 1.1474e-02 eta: 10:32:34 time: 0.3461 data_time: 0.0053 loss: 1.3388 03/04 15:32:27 - mmengine - INFO - Epoch(train) [79][4500/5005] lr: 1.1474e-02 eta: 10:31:58 time: 0.3459 data_time: 0.0052 loss: 1.3802 03/04 15:33:03 - mmengine - INFO - Epoch(train) [79][4600/5005] lr: 1.1474e-02 eta: 10:31:22 time: 0.3447 data_time: 0.0053 loss: 1.4465 03/04 15:33:06 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 15:33:38 - mmengine - INFO - Epoch(train) [79][4700/5005] lr: 1.1474e-02 eta: 10:30:46 time: 0.3548 data_time: 0.0054 loss: 1.3050 03/04 15:34:14 - mmengine - INFO - Epoch(train) [79][4800/5005] lr: 1.1474e-02 eta: 10:30:10 time: 0.3460 data_time: 0.0056 loss: 1.4960 03/04 15:34:51 - mmengine - INFO - Epoch(train) [79][4900/5005] lr: 1.1474e-02 eta: 10:29:34 time: 0.4189 data_time: 0.0064 loss: 1.1997 03/04 15:35:34 - mmengine - INFO - Epoch(train) [79][5000/5005] lr: 1.1474e-02 eta: 10:29:00 time: 0.3790 data_time: 0.0057 loss: 1.3389 03/04 15:35:37 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 15:35:40 - mmengine - INFO - Saving checkpoint at 79 epochs 03/04 15:35:57 - mmengine - INFO - Epoch(val) [79][100/196] eta: 0:00:15 time: 0.0487 data_time: 0.0003 03/04 15:36:14 - mmengine - INFO - Epoch(val) [79][196/196] accuracy/top1: 71.7000 accuracy/top5: 90.6920 03/04 15:36:58 - mmengine - INFO - Epoch(train) [80][ 100/5005] lr: 1.0492e-02 eta: 10:28:25 time: 0.3635 data_time: 0.0054 loss: 1.3512 03/04 15:37:34 - mmengine - INFO - Epoch(train) [80][ 200/5005] lr: 1.0492e-02 eta: 10:27:49 time: 0.3521 data_time: 0.0052 loss: 1.3724 03/04 15:38:10 - mmengine - INFO - Epoch(train) [80][ 300/5005] lr: 1.0492e-02 eta: 10:27:13 time: 0.3477 data_time: 0.0056 loss: 1.3060 03/04 15:38:46 - mmengine - INFO - Epoch(train) [80][ 400/5005] lr: 1.0492e-02 eta: 10:26:37 time: 0.3458 data_time: 0.0055 loss: 1.1229 03/04 15:39:22 - mmengine - INFO - Epoch(train) [80][ 500/5005] lr: 1.0492e-02 eta: 10:26:01 time: 0.3563 data_time: 0.0052 loss: 1.2654 03/04 15:39:57 - mmengine - INFO - Epoch(train) [80][ 600/5005] lr: 1.0492e-02 eta: 10:25:25 time: 0.3462 data_time: 0.0055 loss: 1.2240 03/04 15:39:59 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 15:40:34 - mmengine - INFO - Epoch(train) [80][ 700/5005] lr: 1.0492e-02 eta: 10:24:49 time: 0.3472 data_time: 0.0056 loss: 1.2972 03/04 15:41:09 - mmengine - INFO - Epoch(train) [80][ 800/5005] lr: 1.0492e-02 eta: 10:24:13 time: 0.3657 data_time: 0.0058 loss: 1.3737 03/04 15:41:45 - mmengine - INFO - Epoch(train) [80][ 900/5005] lr: 1.0492e-02 eta: 10:23:37 time: 0.3490 data_time: 0.0054 loss: 1.5608 03/04 15:42:21 - mmengine - INFO - Epoch(train) [80][1000/5005] lr: 1.0492e-02 eta: 10:23:01 time: 0.3792 data_time: 0.0053 loss: 1.4730 03/04 15:42:56 - mmengine - INFO - Epoch(train) [80][1100/5005] lr: 1.0492e-02 eta: 10:22:25 time: 0.3574 data_time: 0.0058 loss: 1.1725 03/04 15:43:32 - mmengine - INFO - Epoch(train) [80][1200/5005] lr: 1.0492e-02 eta: 10:21:49 time: 0.3544 data_time: 0.0053 loss: 1.3021 03/04 15:44:07 - mmengine - INFO - Epoch(train) [80][1300/5005] lr: 1.0492e-02 eta: 10:21:13 time: 0.3916 data_time: 0.0057 loss: 1.3902 03/04 15:44:43 - mmengine - INFO - Epoch(train) [80][1400/5005] lr: 1.0492e-02 eta: 10:20:37 time: 0.3491 data_time: 0.0053 loss: 1.3737 03/04 15:45:19 - mmengine - INFO - Epoch(train) [80][1500/5005] lr: 1.0492e-02 eta: 10:20:01 time: 0.3540 data_time: 0.0053 loss: 1.4312 03/04 15:45:54 - mmengine - INFO - Epoch(train) [80][1600/5005] lr: 1.0492e-02 eta: 10:19:25 time: 0.3520 data_time: 0.0052 loss: 1.2192 03/04 15:45:56 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 15:46:30 - mmengine - INFO - Epoch(train) [80][1700/5005] lr: 1.0492e-02 eta: 10:18:49 time: 0.3511 data_time: 0.0055 loss: 1.2144 03/04 15:47:06 - mmengine - INFO - Epoch(train) [80][1800/5005] lr: 1.0492e-02 eta: 10:18:13 time: 0.3472 data_time: 0.0057 loss: 1.3476 03/04 15:47:41 - mmengine - INFO - Epoch(train) [80][1900/5005] lr: 1.0492e-02 eta: 10:17:37 time: 0.3383 data_time: 0.0055 loss: 1.2797 03/04 15:48:17 - mmengine - INFO - Epoch(train) [80][2000/5005] lr: 1.0492e-02 eta: 10:17:01 time: 0.3412 data_time: 0.0052 loss: 1.1494 03/04 15:48:52 - mmengine - INFO - Epoch(train) [80][2100/5005] lr: 1.0492e-02 eta: 10:16:25 time: 0.3457 data_time: 0.0051 loss: 1.3408 03/04 15:49:28 - mmengine - INFO - Epoch(train) [80][2200/5005] lr: 1.0492e-02 eta: 10:15:49 time: 0.3486 data_time: 0.0054 loss: 1.3808 03/04 15:50:04 - mmengine - INFO - Epoch(train) [80][2300/5005] lr: 1.0492e-02 eta: 10:15:13 time: 0.3653 data_time: 0.0054 loss: 1.2301 03/04 15:50:39 - mmengine - INFO - Epoch(train) [80][2400/5005] lr: 1.0492e-02 eta: 10:14:37 time: 0.3412 data_time: 0.0056 loss: 1.4574 03/04 15:51:15 - mmengine - INFO - Epoch(train) [80][2500/5005] lr: 1.0492e-02 eta: 10:14:01 time: 0.3481 data_time: 0.0056 loss: 1.2098 03/04 15:51:51 - mmengine - INFO - Epoch(train) [80][2600/5005] lr: 1.0492e-02 eta: 10:13:25 time: 0.3560 data_time: 0.0055 loss: 1.4628 03/04 15:51:52 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 15:52:26 - mmengine - INFO - Epoch(train) [80][2700/5005] lr: 1.0492e-02 eta: 10:12:49 time: 0.3567 data_time: 0.0056 loss: 1.4228 03/04 15:53:02 - mmengine - INFO - Epoch(train) [80][2800/5005] lr: 1.0492e-02 eta: 10:12:13 time: 0.3497 data_time: 0.0053 loss: 1.3403 03/04 15:53:37 - mmengine - INFO - Epoch(train) [80][2900/5005] lr: 1.0492e-02 eta: 10:11:37 time: 0.3472 data_time: 0.0054 loss: 1.3209 03/04 15:54:13 - mmengine - INFO - Epoch(train) [80][3000/5005] lr: 1.0492e-02 eta: 10:11:01 time: 0.3410 data_time: 0.0052 loss: 1.2714 03/04 15:54:49 - mmengine - INFO - Epoch(train) [80][3100/5005] lr: 1.0492e-02 eta: 10:10:25 time: 0.3489 data_time: 0.0056 loss: 1.4802 03/04 15:55:24 - mmengine - INFO - Epoch(train) [80][3200/5005] lr: 1.0492e-02 eta: 10:09:49 time: 0.3663 data_time: 0.0053 loss: 1.1278 03/04 15:56:00 - mmengine - INFO - Epoch(train) [80][3300/5005] lr: 1.0492e-02 eta: 10:09:13 time: 0.3455 data_time: 0.0053 loss: 1.3749 03/04 15:56:35 - mmengine - INFO - Epoch(train) [80][3400/5005] lr: 1.0492e-02 eta: 10:08:37 time: 0.3516 data_time: 0.0054 loss: 1.3973 03/04 15:57:11 - mmengine - INFO - Epoch(train) [80][3500/5005] lr: 1.0492e-02 eta: 10:08:01 time: 0.3589 data_time: 0.0056 loss: 1.5781 03/04 15:57:46 - mmengine - INFO - Epoch(train) [80][3600/5005] lr: 1.0492e-02 eta: 10:07:25 time: 0.3609 data_time: 0.0053 loss: 1.5089 03/04 15:57:48 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 15:58:22 - mmengine - INFO - Epoch(train) [80][3700/5005] lr: 1.0492e-02 eta: 10:06:48 time: 0.3508 data_time: 0.0054 loss: 1.3476 03/04 15:58:58 - mmengine - INFO - Epoch(train) [80][3800/5005] lr: 1.0492e-02 eta: 10:06:13 time: 0.3475 data_time: 0.0052 loss: 1.3556 03/04 15:59:33 - mmengine - INFO - Epoch(train) [80][3900/5005] lr: 1.0492e-02 eta: 10:05:37 time: 0.3573 data_time: 0.0055 loss: 1.3330 03/04 16:00:09 - mmengine - INFO - Epoch(train) [80][4000/5005] lr: 1.0492e-02 eta: 10:05:01 time: 0.3506 data_time: 0.0054 loss: 1.2961 03/04 16:00:45 - mmengine - INFO - Epoch(train) [80][4100/5005] lr: 1.0492e-02 eta: 10:04:25 time: 0.3510 data_time: 0.0053 loss: 1.3179 03/04 16:01:20 - mmengine - INFO - Epoch(train) [80][4200/5005] lr: 1.0492e-02 eta: 10:03:48 time: 0.3480 data_time: 0.0054 loss: 1.3024 03/04 16:01:56 - mmengine - INFO - Epoch(train) [80][4300/5005] lr: 1.0492e-02 eta: 10:03:12 time: 0.3500 data_time: 0.0053 loss: 1.4136 03/04 16:02:32 - mmengine - INFO - Epoch(train) [80][4400/5005] lr: 1.0492e-02 eta: 10:02:36 time: 0.3761 data_time: 0.0054 loss: 1.3975 03/04 16:03:07 - mmengine - INFO - Epoch(train) [80][4500/5005] lr: 1.0492e-02 eta: 10:02:00 time: 0.3498 data_time: 0.0054 loss: 1.3490 03/04 16:03:42 - mmengine - INFO - Epoch(train) [80][4600/5005] lr: 1.0492e-02 eta: 10:01:24 time: 0.3499 data_time: 0.0051 loss: 1.2723 03/04 16:03:44 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 16:04:18 - mmengine - INFO - Epoch(train) [80][4700/5005] lr: 1.0492e-02 eta: 10:00:48 time: 0.3696 data_time: 0.0055 loss: 1.3620 03/04 16:04:53 - mmengine - INFO - Epoch(train) [80][4800/5005] lr: 1.0492e-02 eta: 10:00:12 time: 0.3454 data_time: 0.0054 loss: 1.3962 03/04 16:05:31 - mmengine - INFO - Epoch(train) [80][4900/5005] lr: 1.0492e-02 eta: 9:59:37 time: 0.4539 data_time: 0.0068 loss: 1.4974 03/04 16:06:15 - mmengine - INFO - Epoch(train) [80][5000/5005] lr: 1.0492e-02 eta: 9:59:03 time: 0.4533 data_time: 0.0063 loss: 1.3975 03/04 16:06:17 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 16:06:20 - mmengine - INFO - Saving checkpoint at 80 epochs 03/04 16:06:37 - mmengine - INFO - Epoch(val) [80][100/196] eta: 0:00:15 time: 0.0502 data_time: 0.0003 03/04 16:06:54 - mmengine - INFO - Epoch(val) [80][196/196] accuracy/top1: 72.1480 accuracy/top5: 90.9140 03/04 16:07:38 - mmengine - INFO - Epoch(train) [81][ 100/5005] lr: 9.5492e-03 eta: 9:58:27 time: 0.3506 data_time: 0.0054 loss: 1.2125 03/04 16:08:14 - mmengine - INFO - Epoch(train) [81][ 200/5005] lr: 9.5492e-03 eta: 9:57:51 time: 0.3581 data_time: 0.0055 loss: 1.2197 03/04 16:08:50 - mmengine - INFO - Epoch(train) [81][ 300/5005] lr: 9.5492e-03 eta: 9:57:15 time: 0.3446 data_time: 0.0055 loss: 1.3105 03/04 16:09:26 - mmengine - INFO - Epoch(train) [81][ 400/5005] lr: 9.5492e-03 eta: 9:56:39 time: 0.3466 data_time: 0.0052 loss: 1.2423 03/04 16:10:02 - mmengine - INFO - Epoch(train) [81][ 500/5005] lr: 9.5492e-03 eta: 9:56:03 time: 0.3778 data_time: 0.0057 loss: 1.1325 03/04 16:10:38 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 16:10:38 - mmengine - INFO - Epoch(train) [81][ 600/5005] lr: 9.5492e-03 eta: 9:55:27 time: 0.3439 data_time: 0.0059 loss: 1.1725 03/04 16:11:14 - mmengine - INFO - Epoch(train) [81][ 700/5005] lr: 9.5492e-03 eta: 9:54:51 time: 0.3572 data_time: 0.0053 loss: 1.2516 03/04 16:11:49 - mmengine - INFO - Epoch(train) [81][ 800/5005] lr: 9.5492e-03 eta: 9:54:15 time: 0.3494 data_time: 0.0056 loss: 1.3124 03/04 16:12:25 - mmengine - INFO - Epoch(train) [81][ 900/5005] lr: 9.5492e-03 eta: 9:53:39 time: 0.3538 data_time: 0.0054 loss: 1.2947 03/04 16:13:01 - mmengine - INFO - Epoch(train) [81][1000/5005] lr: 9.5492e-03 eta: 9:53:04 time: 0.3592 data_time: 0.0055 loss: 1.3871 03/04 16:13:36 - mmengine - INFO - Epoch(train) [81][1100/5005] lr: 9.5492e-03 eta: 9:52:27 time: 0.3391 data_time: 0.0052 loss: 1.2905 03/04 16:14:12 - mmengine - INFO - Epoch(train) [81][1200/5005] lr: 9.5492e-03 eta: 9:51:51 time: 0.3778 data_time: 0.0055 loss: 1.3194 03/04 16:14:48 - mmengine - INFO - Epoch(train) [81][1300/5005] lr: 9.5492e-03 eta: 9:51:15 time: 0.3668 data_time: 0.0055 loss: 1.3129 03/04 16:15:24 - mmengine - INFO - Epoch(train) [81][1400/5005] lr: 9.5492e-03 eta: 9:50:40 time: 0.3422 data_time: 0.0053 loss: 1.2776 03/04 16:15:59 - mmengine - INFO - Epoch(train) [81][1500/5005] lr: 9.5492e-03 eta: 9:50:04 time: 0.3671 data_time: 0.0057 loss: 1.3594 03/04 16:16:35 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 16:16:35 - mmengine - INFO - Epoch(train) [81][1600/5005] lr: 9.5492e-03 eta: 9:49:27 time: 0.3454 data_time: 0.0057 loss: 1.2094 03/04 16:17:11 - mmengine - INFO - Epoch(train) [81][1700/5005] lr: 9.5492e-03 eta: 9:48:52 time: 0.3536 data_time: 0.0055 loss: 1.2264 03/04 16:17:47 - mmengine - INFO - Epoch(train) [81][1800/5005] lr: 9.5492e-03 eta: 9:48:16 time: 0.3728 data_time: 0.0052 loss: 1.4404 03/04 16:18:23 - mmengine - INFO - Epoch(train) [81][1900/5005] lr: 9.5492e-03 eta: 9:47:40 time: 0.3438 data_time: 0.0052 loss: 1.2522 03/04 16:18:58 - mmengine - INFO - Epoch(train) [81][2000/5005] lr: 9.5492e-03 eta: 9:47:04 time: 0.3655 data_time: 0.0055 loss: 1.3665 03/04 16:19:34 - mmengine - INFO - Epoch(train) [81][2100/5005] lr: 9.5492e-03 eta: 9:46:28 time: 0.3825 data_time: 0.0053 loss: 1.5179 03/04 16:20:10 - mmengine - INFO - Epoch(train) [81][2200/5005] lr: 9.5492e-03 eta: 9:45:52 time: 0.3593 data_time: 0.0053 loss: 1.3864 03/04 16:20:45 - mmengine - INFO - Epoch(train) [81][2300/5005] lr: 9.5492e-03 eta: 9:45:16 time: 0.3492 data_time: 0.0054 loss: 1.2014 03/04 16:21:21 - mmengine - INFO - Epoch(train) [81][2400/5005] lr: 9.5492e-03 eta: 9:44:40 time: 0.3607 data_time: 0.0057 loss: 1.2795 03/04 16:21:57 - mmengine - INFO - Epoch(train) [81][2500/5005] lr: 9.5492e-03 eta: 9:44:04 time: 0.3580 data_time: 0.0054 loss: 1.2344 03/04 16:22:32 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 16:22:32 - mmengine - INFO - Epoch(train) [81][2600/5005] lr: 9.5492e-03 eta: 9:43:28 time: 0.3568 data_time: 0.0058 loss: 1.4089 03/04 16:23:08 - mmengine - INFO - Epoch(train) [81][2700/5005] lr: 9.5492e-03 eta: 9:42:52 time: 0.3427 data_time: 0.0055 loss: 1.2581 03/04 16:23:44 - mmengine - INFO - Epoch(train) [81][2800/5005] lr: 9.5492e-03 eta: 9:42:16 time: 0.3701 data_time: 0.0053 loss: 1.5879 03/04 16:24:19 - mmengine - INFO - Epoch(train) [81][2900/5005] lr: 9.5492e-03 eta: 9:41:40 time: 0.3557 data_time: 0.0054 loss: 1.2466 03/04 16:24:55 - mmengine - INFO - Epoch(train) [81][3000/5005] lr: 9.5492e-03 eta: 9:41:04 time: 0.3543 data_time: 0.0054 loss: 1.3768 03/04 16:25:31 - mmengine - INFO - Epoch(train) [81][3100/5005] lr: 9.5492e-03 eta: 9:40:28 time: 0.3492 data_time: 0.0054 loss: 1.1176 03/04 16:26:07 - mmengine - INFO - Epoch(train) [81][3200/5005] lr: 9.5492e-03 eta: 9:39:52 time: 0.3488 data_time: 0.0058 loss: 1.2417 03/04 16:26:43 - mmengine - INFO - Epoch(train) [81][3300/5005] lr: 9.5492e-03 eta: 9:39:16 time: 0.3577 data_time: 0.0053 loss: 1.1219 03/04 16:27:18 - mmengine - INFO - Epoch(train) [81][3400/5005] lr: 9.5492e-03 eta: 9:38:40 time: 0.3543 data_time: 0.0054 loss: 1.4793 03/04 16:27:54 - mmengine - INFO - Epoch(train) [81][3500/5005] lr: 9.5492e-03 eta: 9:38:04 time: 0.3427 data_time: 0.0054 loss: 1.3035 03/04 16:28:29 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 16:28:29 - mmengine - INFO - Epoch(train) [81][3600/5005] lr: 9.5492e-03 eta: 9:37:28 time: 0.3580 data_time: 0.0057 loss: 1.4377 03/04 16:29:05 - mmengine - INFO - Epoch(train) [81][3700/5005] lr: 9.5492e-03 eta: 9:36:52 time: 0.3637 data_time: 0.0054 loss: 1.2555 03/04 16:29:40 - mmengine - INFO - Epoch(train) [81][3800/5005] lr: 9.5492e-03 eta: 9:36:16 time: 0.3398 data_time: 0.0052 loss: 1.3500 03/04 16:30:16 - mmengine - INFO - Epoch(train) [81][3900/5005] lr: 9.5492e-03 eta: 9:35:40 time: 0.3422 data_time: 0.0054 loss: 1.3069 03/04 16:30:51 - mmengine - INFO - Epoch(train) [81][4000/5005] lr: 9.5492e-03 eta: 9:35:04 time: 0.3520 data_time: 0.0053 loss: 1.4303 03/04 16:31:27 - mmengine - INFO - Epoch(train) [81][4100/5005] lr: 9.5492e-03 eta: 9:34:28 time: 0.3450 data_time: 0.0054 loss: 1.4257 03/04 16:32:03 - mmengine - INFO - Epoch(train) [81][4200/5005] lr: 9.5492e-03 eta: 9:33:52 time: 0.3666 data_time: 0.0055 loss: 1.3845 03/04 16:32:39 - mmengine - INFO - Epoch(train) [81][4300/5005] lr: 9.5492e-03 eta: 9:33:16 time: 0.3582 data_time: 0.0055 loss: 1.1969 03/04 16:33:15 - mmengine - INFO - Epoch(train) [81][4400/5005] lr: 9.5492e-03 eta: 9:32:40 time: 0.3772 data_time: 0.0060 loss: 1.2413 03/04 16:33:50 - mmengine - INFO - Epoch(train) [81][4500/5005] lr: 9.5492e-03 eta: 9:32:04 time: 0.3465 data_time: 0.0055 loss: 1.2881 03/04 16:34:26 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 16:34:26 - mmengine - INFO - Epoch(train) [81][4600/5005] lr: 9.5492e-03 eta: 9:31:28 time: 0.3437 data_time: 0.0056 loss: 1.4294 03/04 16:35:01 - mmengine - INFO - Epoch(train) [81][4700/5005] lr: 9.5492e-03 eta: 9:30:52 time: 0.3536 data_time: 0.0053 loss: 1.2330 03/04 16:35:37 - mmengine - INFO - Epoch(train) [81][4800/5005] lr: 9.5492e-03 eta: 9:30:16 time: 0.3451 data_time: 0.0055 loss: 1.2174 03/04 16:36:13 - mmengine - INFO - Epoch(train) [81][4900/5005] lr: 9.5492e-03 eta: 9:29:40 time: 0.3817 data_time: 0.0056 loss: 1.4257 03/04 16:36:55 - mmengine - INFO - Epoch(train) [81][5000/5005] lr: 9.5492e-03 eta: 9:29:05 time: 0.3853 data_time: 0.0053 loss: 1.3138 03/04 16:36:57 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 16:37:00 - mmengine - INFO - Saving checkpoint at 81 epochs 03/04 16:37:17 - mmengine - INFO - Epoch(val) [81][100/196] eta: 0:00:14 time: 0.0491 data_time: 0.0003 03/04 16:37:33 - mmengine - INFO - Epoch(val) [81][196/196] accuracy/top1: 72.4720 accuracy/top5: 91.1760 03/04 16:38:18 - mmengine - INFO - Epoch(train) [82][ 100/5005] lr: 8.6460e-03 eta: 9:28:30 time: 0.3461 data_time: 0.0055 loss: 1.2792 03/04 16:38:56 - mmengine - INFO - Epoch(train) [82][ 200/5005] lr: 8.6460e-03 eta: 9:27:54 time: 0.3559 data_time: 0.0054 loss: 1.2564 03/04 16:39:32 - mmengine - INFO - Epoch(train) [82][ 300/5005] lr: 8.6460e-03 eta: 9:27:18 time: 0.3611 data_time: 0.0054 loss: 1.4870 03/04 16:40:07 - mmengine - INFO - Epoch(train) [82][ 400/5005] lr: 8.6460e-03 eta: 9:26:42 time: 0.3490 data_time: 0.0054 loss: 1.3055 03/04 16:40:43 - mmengine - INFO - Epoch(train) [82][ 500/5005] lr: 8.6460e-03 eta: 9:26:06 time: 0.3543 data_time: 0.0058 loss: 1.0859 03/04 16:41:17 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 16:41:19 - mmengine - INFO - Epoch(train) [82][ 600/5005] lr: 8.6460e-03 eta: 9:25:30 time: 0.3771 data_time: 0.0056 loss: 1.3141 03/04 16:41:55 - mmengine - INFO - Epoch(train) [82][ 700/5005] lr: 8.6460e-03 eta: 9:24:54 time: 0.3653 data_time: 0.0053 loss: 1.1793 03/04 16:42:30 - mmengine - INFO - Epoch(train) [82][ 800/5005] lr: 8.6460e-03 eta: 9:24:18 time: 0.3471 data_time: 0.0055 loss: 1.1726 03/04 16:43:06 - mmengine - INFO - Epoch(train) [82][ 900/5005] lr: 8.6460e-03 eta: 9:23:42 time: 0.3489 data_time: 0.0054 loss: 1.2400 03/04 16:43:42 - mmengine - INFO - Epoch(train) [82][1000/5005] lr: 8.6460e-03 eta: 9:23:06 time: 0.3778 data_time: 0.0057 loss: 1.3086 03/04 16:44:17 - mmengine - INFO - Epoch(train) [82][1100/5005] lr: 8.6460e-03 eta: 9:22:30 time: 0.3443 data_time: 0.0056 loss: 1.2764 03/04 16:44:53 - mmengine - INFO - Epoch(train) [82][1200/5005] lr: 8.6460e-03 eta: 9:21:54 time: 0.3422 data_time: 0.0054 loss: 1.1004 03/04 16:45:28 - mmengine - INFO - Epoch(train) [82][1300/5005] lr: 8.6460e-03 eta: 9:21:18 time: 0.3539 data_time: 0.0053 loss: 1.2427 03/04 16:46:04 - mmengine - INFO - Epoch(train) [82][1400/5005] lr: 8.6460e-03 eta: 9:20:42 time: 0.3698 data_time: 0.0054 loss: 1.2460 03/04 16:46:40 - mmengine - INFO - Epoch(train) [82][1500/5005] lr: 8.6460e-03 eta: 9:20:06 time: 0.3676 data_time: 0.0056 loss: 1.3390 03/04 16:47:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 16:47:15 - mmengine - INFO - Epoch(train) [82][1600/5005] lr: 8.6460e-03 eta: 9:19:30 time: 0.3669 data_time: 0.0058 loss: 1.3913 03/04 16:47:51 - mmengine - INFO - Epoch(train) [82][1700/5005] lr: 8.6460e-03 eta: 9:18:54 time: 0.3481 data_time: 0.0053 loss: 1.2689 03/04 16:48:26 - mmengine - INFO - Epoch(train) [82][1800/5005] lr: 8.6460e-03 eta: 9:18:18 time: 0.3524 data_time: 0.0053 loss: 1.0971 03/04 16:49:02 - mmengine - INFO - Epoch(train) [82][1900/5005] lr: 8.6460e-03 eta: 9:17:42 time: 0.3481 data_time: 0.0056 loss: 1.4549 03/04 16:49:37 - mmengine - INFO - Epoch(train) [82][2000/5005] lr: 8.6460e-03 eta: 9:17:06 time: 0.3453 data_time: 0.0054 loss: 1.1229 03/04 16:50:13 - mmengine - INFO - Epoch(train) [82][2100/5005] lr: 8.6460e-03 eta: 9:16:30 time: 0.3459 data_time: 0.0054 loss: 1.2171 03/04 16:50:49 - mmengine - INFO - Epoch(train) [82][2200/5005] lr: 8.6460e-03 eta: 9:15:54 time: 0.3496 data_time: 0.0056 loss: 1.4036 03/04 16:51:25 - mmengine - INFO - Epoch(train) [82][2300/5005] lr: 8.6460e-03 eta: 9:15:18 time: 0.3670 data_time: 0.0054 loss: 1.1652 03/04 16:52:00 - mmengine - INFO - Epoch(train) [82][2400/5005] lr: 8.6460e-03 eta: 9:14:42 time: 0.3640 data_time: 0.0055 loss: 1.3104 03/04 16:52:36 - mmengine - INFO - Epoch(train) [82][2500/5005] lr: 8.6460e-03 eta: 9:14:06 time: 0.3441 data_time: 0.0055 loss: 1.2420 03/04 16:53:10 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 16:53:11 - mmengine - INFO - Epoch(train) [82][2600/5005] lr: 8.6460e-03 eta: 9:13:30 time: 0.3492 data_time: 0.0056 loss: 1.1978 03/04 16:53:47 - mmengine - INFO - Epoch(train) [82][2700/5005] lr: 8.6460e-03 eta: 9:12:54 time: 0.3500 data_time: 0.0052 loss: 1.3281 03/04 16:54:23 - mmengine - INFO - Epoch(train) [82][2800/5005] lr: 8.6460e-03 eta: 9:12:18 time: 0.3647 data_time: 0.0059 loss: 1.3705 03/04 16:54:59 - mmengine - INFO - Epoch(train) [82][2900/5005] lr: 8.6460e-03 eta: 9:11:42 time: 0.3799 data_time: 0.0056 loss: 1.3924 03/04 16:55:34 - mmengine - INFO - Epoch(train) [82][3000/5005] lr: 8.6460e-03 eta: 9:11:06 time: 0.3458 data_time: 0.0054 loss: 1.1027 03/04 16:56:10 - mmengine - INFO - Epoch(train) [82][3100/5005] lr: 8.6460e-03 eta: 9:10:30 time: 0.3536 data_time: 0.0056 loss: 1.2306 03/04 16:56:46 - mmengine - INFO - Epoch(train) [82][3200/5005] lr: 8.6460e-03 eta: 9:09:54 time: 0.3677 data_time: 0.0051 loss: 1.3928 03/04 16:57:21 - mmengine - INFO - Epoch(train) [82][3300/5005] lr: 8.6460e-03 eta: 9:09:18 time: 0.3478 data_time: 0.0053 loss: 1.5099 03/04 16:57:57 - mmengine - INFO - Epoch(train) [82][3400/5005] lr: 8.6460e-03 eta: 9:08:42 time: 0.3472 data_time: 0.0055 loss: 1.1218 03/04 16:58:32 - mmengine - INFO - Epoch(train) [82][3500/5005] lr: 8.6460e-03 eta: 9:08:06 time: 0.3515 data_time: 0.0055 loss: 1.2073 03/04 16:59:06 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 16:59:07 - mmengine - INFO - Epoch(train) [82][3600/5005] lr: 8.6460e-03 eta: 9:07:30 time: 0.3459 data_time: 0.0055 loss: 1.3826 03/04 16:59:43 - mmengine - INFO - Epoch(train) [82][3700/5005] lr: 8.6460e-03 eta: 9:06:54 time: 0.3484 data_time: 0.0054 loss: 1.5730 03/04 17:00:19 - mmengine - INFO - Epoch(train) [82][3800/5005] lr: 8.6460e-03 eta: 9:06:18 time: 0.3700 data_time: 0.0054 loss: 1.4377 03/04 17:00:54 - mmengine - INFO - Epoch(train) [82][3900/5005] lr: 8.6460e-03 eta: 9:05:42 time: 0.3424 data_time: 0.0058 loss: 1.4755 03/04 17:01:30 - mmengine - INFO - Epoch(train) [82][4000/5005] lr: 8.6460e-03 eta: 9:05:06 time: 0.3514 data_time: 0.0053 loss: 1.2329 03/04 17:02:05 - mmengine - INFO - Epoch(train) [82][4100/5005] lr: 8.6460e-03 eta: 9:04:30 time: 0.3571 data_time: 0.0055 loss: 1.4582 03/04 17:02:41 - mmengine - INFO - Epoch(train) [82][4200/5005] lr: 8.6460e-03 eta: 9:03:54 time: 0.3536 data_time: 0.0053 loss: 1.4065 03/04 17:03:17 - mmengine - INFO - Epoch(train) [82][4300/5005] lr: 8.6460e-03 eta: 9:03:18 time: 0.3675 data_time: 0.0053 loss: 1.1915 03/04 17:03:52 - mmengine - INFO - Epoch(train) [82][4400/5005] lr: 8.6460e-03 eta: 9:02:42 time: 0.3511 data_time: 0.0052 loss: 1.3458 03/04 17:04:28 - mmengine - INFO - Epoch(train) [82][4500/5005] lr: 8.6460e-03 eta: 9:02:06 time: 0.3647 data_time: 0.0053 loss: 1.4263 03/04 17:05:01 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 17:05:03 - mmengine - INFO - Epoch(train) [82][4600/5005] lr: 8.6460e-03 eta: 9:01:30 time: 0.3668 data_time: 0.0054 loss: 1.2486 03/04 17:05:39 - mmengine - INFO - Epoch(train) [82][4700/5005] lr: 8.6460e-03 eta: 9:00:54 time: 0.3512 data_time: 0.0054 loss: 1.3203 03/04 17:06:14 - mmengine - INFO - Epoch(train) [82][4800/5005] lr: 8.6460e-03 eta: 9:00:18 time: 0.3618 data_time: 0.0053 loss: 1.1558 03/04 17:06:51 - mmengine - INFO - Epoch(train) [82][4900/5005] lr: 8.6460e-03 eta: 8:59:42 time: 0.4337 data_time: 0.0058 loss: 1.2251 03/04 17:07:35 - mmengine - INFO - Epoch(train) [82][5000/5005] lr: 8.6460e-03 eta: 8:59:08 time: 0.4434 data_time: 0.0058 loss: 1.3102 03/04 17:07:37 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 17:07:41 - mmengine - INFO - Saving checkpoint at 82 epochs 03/04 17:07:58 - mmengine - INFO - Epoch(val) [82][100/196] eta: 0:00:15 time: 0.0373 data_time: 0.0002 03/04 17:08:15 - mmengine - INFO - Epoch(val) [82][196/196] accuracy/top1: 73.0120 accuracy/top5: 91.3820 03/04 17:09:01 - mmengine - INFO - Epoch(train) [83][ 100/5005] lr: 7.7836e-03 eta: 8:58:33 time: 0.3633 data_time: 0.0054 loss: 1.2266 03/04 17:09:37 - mmengine - INFO - Epoch(train) [83][ 200/5005] lr: 7.7836e-03 eta: 8:57:57 time: 0.3679 data_time: 0.0057 loss: 1.2703 03/04 17:10:13 - mmengine - INFO - Epoch(train) [83][ 300/5005] lr: 7.7836e-03 eta: 8:57:21 time: 0.3431 data_time: 0.0053 loss: 1.0889 03/04 17:10:48 - mmengine - INFO - Epoch(train) [83][ 400/5005] lr: 7.7836e-03 eta: 8:56:45 time: 0.3593 data_time: 0.0056 loss: 1.2977 03/04 17:11:24 - mmengine - INFO - Epoch(train) [83][ 500/5005] lr: 7.7836e-03 eta: 8:56:09 time: 0.3500 data_time: 0.0060 loss: 1.2330 03/04 17:11:56 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 17:12:00 - mmengine - INFO - Epoch(train) [83][ 600/5005] lr: 7.7836e-03 eta: 8:55:33 time: 0.3491 data_time: 0.0055 loss: 1.3031 03/04 17:12:36 - mmengine - INFO - Epoch(train) [83][ 700/5005] lr: 7.7836e-03 eta: 8:54:57 time: 0.3494 data_time: 0.0054 loss: 1.3773 03/04 17:13:11 - mmengine - INFO - Epoch(train) [83][ 800/5005] lr: 7.7836e-03 eta: 8:54:21 time: 0.3464 data_time: 0.0055 loss: 1.3391 03/04 17:13:47 - mmengine - INFO - Epoch(train) [83][ 900/5005] lr: 7.7836e-03 eta: 8:53:45 time: 0.3603 data_time: 0.0056 loss: 1.1004 03/04 17:14:23 - mmengine - INFO - Epoch(train) [83][1000/5005] lr: 7.7836e-03 eta: 8:53:09 time: 0.3583 data_time: 0.0058 loss: 1.3299 03/04 17:14:59 - mmengine - INFO - Epoch(train) [83][1100/5005] lr: 7.7836e-03 eta: 8:52:33 time: 0.3449 data_time: 0.0055 loss: 1.3993 03/04 17:15:35 - mmengine - INFO - Epoch(train) [83][1200/5005] lr: 7.7836e-03 eta: 8:51:57 time: 0.3522 data_time: 0.0056 loss: 1.2244 03/04 17:16:10 - mmengine - INFO - Epoch(train) [83][1300/5005] lr: 7.7836e-03 eta: 8:51:21 time: 0.3483 data_time: 0.0054 loss: 1.3368 03/04 17:16:46 - mmengine - INFO - Epoch(train) [83][1400/5005] lr: 7.7836e-03 eta: 8:50:45 time: 0.3483 data_time: 0.0055 loss: 1.3280 03/04 17:17:22 - mmengine - INFO - Epoch(train) [83][1500/5005] lr: 7.7836e-03 eta: 8:50:09 time: 0.3930 data_time: 0.0059 loss: 1.4154 03/04 17:17:54 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 17:17:57 - mmengine - INFO - Epoch(train) [83][1600/5005] lr: 7.7836e-03 eta: 8:49:33 time: 0.3524 data_time: 0.0054 loss: 1.1658 03/04 17:18:33 - mmengine - INFO - Epoch(train) [83][1700/5005] lr: 7.7836e-03 eta: 8:48:57 time: 0.3662 data_time: 0.0055 loss: 1.1752 03/04 17:19:08 - mmengine - INFO - Epoch(train) [83][1800/5005] lr: 7.7836e-03 eta: 8:48:21 time: 0.3476 data_time: 0.0054 loss: 1.0584 03/04 17:19:44 - mmengine - INFO - Epoch(train) [83][1900/5005] lr: 7.7836e-03 eta: 8:47:45 time: 0.3490 data_time: 0.0054 loss: 1.2934 03/04 17:20:20 - mmengine - INFO - Epoch(train) [83][2000/5005] lr: 7.7836e-03 eta: 8:47:09 time: 0.3483 data_time: 0.0061 loss: 1.2059 03/04 17:20:55 - mmengine - INFO - Epoch(train) [83][2100/5005] lr: 7.7836e-03 eta: 8:46:33 time: 0.3513 data_time: 0.0055 loss: 1.2655 03/04 17:21:31 - mmengine - INFO - Epoch(train) [83][2200/5005] lr: 7.7836e-03 eta: 8:45:57 time: 0.3649 data_time: 0.0055 loss: 1.3382 03/04 17:22:07 - mmengine - INFO - Epoch(train) [83][2300/5005] lr: 7.7836e-03 eta: 8:45:21 time: 0.3675 data_time: 0.0055 loss: 1.3316 03/04 17:22:42 - mmengine - INFO - Epoch(train) [83][2400/5005] lr: 7.7836e-03 eta: 8:44:45 time: 0.3566 data_time: 0.0055 loss: 1.1398 03/04 17:23:18 - mmengine - INFO - Epoch(train) [83][2500/5005] lr: 7.7836e-03 eta: 8:44:09 time: 0.3445 data_time: 0.0053 loss: 1.2596 03/04 17:23:49 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 17:23:53 - mmengine - INFO - Epoch(train) [83][2600/5005] lr: 7.7836e-03 eta: 8:43:33 time: 0.3484 data_time: 0.0055 loss: 1.3493 03/04 17:24:28 - mmengine - INFO - Epoch(train) [83][2700/5005] lr: 7.7836e-03 eta: 8:42:57 time: 0.3533 data_time: 0.0053 loss: 1.4251 03/04 17:25:04 - mmengine - INFO - Epoch(train) [83][2800/5005] lr: 7.7836e-03 eta: 8:42:21 time: 0.3525 data_time: 0.0053 loss: 1.2983 03/04 17:25:39 - mmengine - INFO - Epoch(train) [83][2900/5005] lr: 7.7836e-03 eta: 8:41:45 time: 0.3556 data_time: 0.0054 loss: 1.2079 03/04 17:26:15 - mmengine - INFO - Epoch(train) [83][3000/5005] lr: 7.7836e-03 eta: 8:41:09 time: 0.3528 data_time: 0.0056 loss: 1.1611 03/04 17:26:50 - mmengine - INFO - Epoch(train) [83][3100/5005] lr: 7.7836e-03 eta: 8:40:33 time: 0.3707 data_time: 0.0054 loss: 1.1344 03/04 17:27:26 - mmengine - INFO - Epoch(train) [83][3200/5005] lr: 7.7836e-03 eta: 8:39:57 time: 0.3513 data_time: 0.0058 loss: 1.3020 03/04 17:28:02 - mmengine - INFO - Epoch(train) [83][3300/5005] lr: 7.7836e-03 eta: 8:39:21 time: 0.3506 data_time: 0.0053 loss: 1.3954 03/04 17:28:38 - mmengine - INFO - Epoch(train) [83][3400/5005] lr: 7.7836e-03 eta: 8:38:45 time: 0.3544 data_time: 0.0054 loss: 1.1663 03/04 17:29:13 - mmengine - INFO - Epoch(train) [83][3500/5005] lr: 7.7836e-03 eta: 8:38:09 time: 0.3590 data_time: 0.0054 loss: 1.4145 03/04 17:29:45 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 17:29:49 - mmengine - INFO - Epoch(train) [83][3600/5005] lr: 7.7836e-03 eta: 8:37:33 time: 0.3682 data_time: 0.0058 loss: 1.3044 03/04 17:30:24 - mmengine - INFO - Epoch(train) [83][3700/5005] lr: 7.7836e-03 eta: 8:36:57 time: 0.3531 data_time: 0.0052 loss: 1.4283 03/04 17:31:01 - mmengine - INFO - Epoch(train) [83][3800/5005] lr: 7.7836e-03 eta: 8:36:21 time: 0.3676 data_time: 0.0056 loss: 1.3012 03/04 17:31:36 - mmengine - INFO - Epoch(train) [83][3900/5005] lr: 7.7836e-03 eta: 8:35:45 time: 0.3469 data_time: 0.0058 loss: 1.2807 03/04 17:32:11 - mmengine - INFO - Epoch(train) [83][4000/5005] lr: 7.7836e-03 eta: 8:35:09 time: 0.3525 data_time: 0.0056 loss: 1.2354 03/04 17:32:47 - mmengine - INFO - Epoch(train) [83][4100/5005] lr: 7.7836e-03 eta: 8:34:33 time: 0.3695 data_time: 0.0055 loss: 1.2642 03/04 17:33:22 - mmengine - INFO - Epoch(train) [83][4200/5005] lr: 7.7836e-03 eta: 8:33:57 time: 0.3566 data_time: 0.0052 loss: 1.3039 03/04 17:33:58 - mmengine - INFO - Epoch(train) [83][4300/5005] lr: 7.7836e-03 eta: 8:33:21 time: 0.3443 data_time: 0.0053 loss: 1.2112 03/04 17:34:34 - mmengine - INFO - Epoch(train) [83][4400/5005] lr: 7.7836e-03 eta: 8:32:45 time: 0.3630 data_time: 0.0057 loss: 1.2439 03/04 17:35:09 - mmengine - INFO - Epoch(train) [83][4500/5005] lr: 7.7836e-03 eta: 8:32:09 time: 0.3474 data_time: 0.0055 loss: 1.1293 03/04 17:35:42 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 17:35:45 - mmengine - INFO - Epoch(train) [83][4600/5005] lr: 7.7836e-03 eta: 8:31:33 time: 0.3431 data_time: 0.0057 loss: 1.3661 03/04 17:36:20 - mmengine - INFO - Epoch(train) [83][4700/5005] lr: 7.7836e-03 eta: 8:30:57 time: 0.3430 data_time: 0.0057 loss: 1.2911 03/04 17:36:56 - mmengine - INFO - Epoch(train) [83][4800/5005] lr: 7.7836e-03 eta: 8:30:21 time: 0.3427 data_time: 0.0053 loss: 1.1977 03/04 17:37:33 - mmengine - INFO - Epoch(train) [83][4900/5005] lr: 7.7836e-03 eta: 8:29:45 time: 0.4578 data_time: 0.0059 loss: 1.1403 03/04 17:38:17 - mmengine - INFO - Epoch(train) [83][5000/5005] lr: 7.7836e-03 eta: 8:29:11 time: 0.4331 data_time: 0.0062 loss: 1.2193 03/04 17:38:19 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 17:38:22 - mmengine - INFO - Saving checkpoint at 83 epochs 03/04 17:38:39 - mmengine - INFO - Epoch(val) [83][100/196] eta: 0:00:15 time: 0.0385 data_time: 0.0002 03/04 17:38:56 - mmengine - INFO - Epoch(val) [83][196/196] accuracy/top1: 73.0660 accuracy/top5: 91.4200 03/04 17:39:41 - mmengine - INFO - Epoch(train) [84][ 100/5005] lr: 6.9629e-03 eta: 8:28:35 time: 0.3418 data_time: 0.0054 loss: 1.1463 03/04 17:40:17 - mmengine - INFO - Epoch(train) [84][ 200/5005] lr: 6.9629e-03 eta: 8:27:59 time: 0.3514 data_time: 0.0057 loss: 1.2947 03/04 17:40:53 - mmengine - INFO - Epoch(train) [84][ 300/5005] lr: 6.9629e-03 eta: 8:27:23 time: 0.3703 data_time: 0.0054 loss: 1.3676 03/04 17:41:29 - mmengine - INFO - Epoch(train) [84][ 400/5005] lr: 6.9629e-03 eta: 8:26:47 time: 0.3647 data_time: 0.0055 loss: 1.1751 03/04 17:42:05 - mmengine - INFO - Epoch(train) [84][ 500/5005] lr: 6.9629e-03 eta: 8:26:12 time: 0.4196 data_time: 0.0053 loss: 1.2179 03/04 17:42:35 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 17:42:40 - mmengine - INFO - Epoch(train) [84][ 600/5005] lr: 6.9629e-03 eta: 8:25:36 time: 0.3501 data_time: 0.0054 loss: 1.2561 03/04 17:43:16 - mmengine - INFO - Epoch(train) [84][ 700/5005] lr: 6.9629e-03 eta: 8:25:00 time: 0.3530 data_time: 0.0056 loss: 1.2555 03/04 17:43:52 - mmengine - INFO - Epoch(train) [84][ 800/5005] lr: 6.9629e-03 eta: 8:24:24 time: 0.3451 data_time: 0.0056 loss: 1.2142 03/04 17:44:27 - mmengine - INFO - Epoch(train) [84][ 900/5005] lr: 6.9629e-03 eta: 8:23:48 time: 0.3447 data_time: 0.0056 loss: 1.1846 03/04 17:45:03 - mmengine - INFO - Epoch(train) [84][1000/5005] lr: 6.9629e-03 eta: 8:23:12 time: 0.3469 data_time: 0.0054 loss: 1.2328 03/04 17:45:38 - mmengine - INFO - Epoch(train) [84][1100/5005] lr: 6.9629e-03 eta: 8:22:36 time: 0.3478 data_time: 0.0061 loss: 1.1349 03/04 17:46:15 - mmengine - INFO - Epoch(train) [84][1200/5005] lr: 6.9629e-03 eta: 8:22:00 time: 0.3474 data_time: 0.0055 loss: 1.2546 03/04 17:46:50 - mmengine - INFO - Epoch(train) [84][1300/5005] lr: 6.9629e-03 eta: 8:21:24 time: 0.3856 data_time: 0.0052 loss: 1.3934 03/04 17:47:25 - mmengine - INFO - Epoch(train) [84][1400/5005] lr: 6.9629e-03 eta: 8:20:48 time: 0.3480 data_time: 0.0054 loss: 1.3382 03/04 17:48:01 - mmengine - INFO - Epoch(train) [84][1500/5005] lr: 6.9629e-03 eta: 8:20:12 time: 0.3607 data_time: 0.0054 loss: 1.2079 03/04 17:48:31 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 17:48:36 - mmengine - INFO - Epoch(train) [84][1600/5005] lr: 6.9629e-03 eta: 8:19:36 time: 0.3634 data_time: 0.0057 loss: 1.1696 03/04 17:49:12 - mmengine - INFO - Epoch(train) [84][1700/5005] lr: 6.9629e-03 eta: 8:19:00 time: 0.3470 data_time: 0.0055 loss: 1.2128 03/04 17:49:47 - mmengine - INFO - Epoch(train) [84][1800/5005] lr: 6.9629e-03 eta: 8:18:24 time: 0.3515 data_time: 0.0053 loss: 1.2400 03/04 17:50:23 - mmengine - INFO - Epoch(train) [84][1900/5005] lr: 6.9629e-03 eta: 8:17:48 time: 0.3524 data_time: 0.0055 loss: 1.1607 03/04 17:50:58 - mmengine - INFO - Epoch(train) [84][2000/5005] lr: 6.9629e-03 eta: 8:17:11 time: 0.3420 data_time: 0.0060 loss: 1.2277 03/04 17:51:34 - mmengine - INFO - Epoch(train) [84][2100/5005] lr: 6.9629e-03 eta: 8:16:35 time: 0.3477 data_time: 0.0056 loss: 1.4418 03/04 17:52:09 - mmengine - INFO - Epoch(train) [84][2200/5005] lr: 6.9629e-03 eta: 8:15:59 time: 0.3496 data_time: 0.0056 loss: 1.3119 03/04 17:52:45 - mmengine - INFO - Epoch(train) [84][2300/5005] lr: 6.9629e-03 eta: 8:15:23 time: 0.3488 data_time: 0.0055 loss: 1.2394 03/04 17:53:20 - mmengine - INFO - Epoch(train) [84][2400/5005] lr: 6.9629e-03 eta: 8:14:47 time: 0.3726 data_time: 0.0056 loss: 1.1334 03/04 17:53:56 - mmengine - INFO - Epoch(train) [84][2500/5005] lr: 6.9629e-03 eta: 8:14:11 time: 0.3507 data_time: 0.0055 loss: 1.1812 03/04 17:54:27 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 17:54:32 - mmengine - INFO - Epoch(train) [84][2600/5005] lr: 6.9629e-03 eta: 8:13:36 time: 0.3472 data_time: 0.0054 loss: 1.2388 03/04 17:55:08 - mmengine - INFO - Epoch(train) [84][2700/5005] lr: 6.9629e-03 eta: 8:13:00 time: 0.3567 data_time: 0.0055 loss: 1.2252 03/04 17:55:43 - mmengine - INFO - Epoch(train) [84][2800/5005] lr: 6.9629e-03 eta: 8:12:24 time: 0.3353 data_time: 0.0054 loss: 1.3388 03/04 17:56:19 - mmengine - INFO - Epoch(train) [84][2900/5005] lr: 6.9629e-03 eta: 8:11:48 time: 0.3503 data_time: 0.0056 loss: 1.1743 03/04 17:56:54 - mmengine - INFO - Epoch(train) [84][3000/5005] lr: 6.9629e-03 eta: 8:11:12 time: 0.3473 data_time: 0.0056 loss: 1.4636 03/04 17:57:30 - mmengine - INFO - Epoch(train) [84][3100/5005] lr: 6.9629e-03 eta: 8:10:36 time: 0.3361 data_time: 0.0055 loss: 1.3946 03/04 17:58:05 - mmengine - INFO - Epoch(train) [84][3200/5005] lr: 6.9629e-03 eta: 8:10:00 time: 0.3426 data_time: 0.0055 loss: 1.1620 03/04 17:58:41 - mmengine - INFO - Epoch(train) [84][3300/5005] lr: 6.9629e-03 eta: 8:09:23 time: 0.3546 data_time: 0.0054 loss: 1.1774 03/04 17:59:17 - mmengine - INFO - Epoch(train) [84][3400/5005] lr: 6.9629e-03 eta: 8:08:48 time: 0.3595 data_time: 0.0056 loss: 1.3185 03/04 17:59:52 - mmengine - INFO - Epoch(train) [84][3500/5005] lr: 6.9629e-03 eta: 8:08:12 time: 0.3883 data_time: 0.0055 loss: 1.3135 03/04 18:00:22 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 18:00:28 - mmengine - INFO - Epoch(train) [84][3600/5005] lr: 6.9629e-03 eta: 8:07:36 time: 0.3459 data_time: 0.0052 loss: 1.2382 03/04 18:01:03 - mmengine - INFO - Epoch(train) [84][3700/5005] lr: 6.9629e-03 eta: 8:07:00 time: 0.3610 data_time: 0.0054 loss: 1.2640 03/04 18:01:39 - mmengine - INFO - Epoch(train) [84][3800/5005] lr: 6.9629e-03 eta: 8:06:24 time: 0.3459 data_time: 0.0053 loss: 1.0614 03/04 18:02:14 - mmengine - INFO - Epoch(train) [84][3900/5005] lr: 6.9629e-03 eta: 8:05:48 time: 0.3434 data_time: 0.0056 loss: 1.4151 03/04 18:02:49 - mmengine - INFO - Epoch(train) [84][4000/5005] lr: 6.9629e-03 eta: 8:05:11 time: 0.3435 data_time: 0.0056 loss: 1.2061 03/04 18:03:25 - mmengine - INFO - Epoch(train) [84][4100/5005] lr: 6.9629e-03 eta: 8:04:35 time: 0.3524 data_time: 0.0053 loss: 1.3215 03/04 18:04:01 - mmengine - INFO - Epoch(train) [84][4200/5005] lr: 6.9629e-03 eta: 8:03:59 time: 0.3472 data_time: 0.0054 loss: 1.3071 03/04 18:04:36 - mmengine - INFO - Epoch(train) [84][4300/5005] lr: 6.9629e-03 eta: 8:03:24 time: 0.3700 data_time: 0.0055 loss: 1.2910 03/04 18:05:12 - mmengine - INFO - Epoch(train) [84][4400/5005] lr: 6.9629e-03 eta: 8:02:47 time: 0.3470 data_time: 0.0053 loss: 1.3775 03/04 18:05:47 - mmengine - INFO - Epoch(train) [84][4500/5005] lr: 6.9629e-03 eta: 8:02:12 time: 0.3688 data_time: 0.0054 loss: 1.3269 03/04 18:06:18 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 18:06:23 - mmengine - INFO - Epoch(train) [84][4600/5005] lr: 6.9629e-03 eta: 8:01:36 time: 0.3644 data_time: 0.0055 loss: 1.2994 03/04 18:06:59 - mmengine - INFO - Epoch(train) [84][4700/5005] lr: 6.9629e-03 eta: 8:01:00 time: 0.3433 data_time: 0.0054 loss: 1.2846 03/04 18:07:35 - mmengine - INFO - Epoch(train) [84][4800/5005] lr: 6.9629e-03 eta: 8:00:24 time: 0.3616 data_time: 0.0055 loss: 1.5687 03/04 18:08:11 - mmengine - INFO - Epoch(train) [84][4900/5005] lr: 6.9629e-03 eta: 7:59:48 time: 0.4204 data_time: 0.0058 loss: 1.2269 03/04 18:08:55 - mmengine - INFO - Epoch(train) [84][5000/5005] lr: 6.9629e-03 eta: 7:59:13 time: 0.4466 data_time: 0.0058 loss: 1.2377 03/04 18:08:57 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 18:09:00 - mmengine - INFO - Saving checkpoint at 84 epochs 03/04 18:09:18 - mmengine - INFO - Epoch(val) [84][100/196] eta: 0:00:15 time: 0.0434 data_time: 0.0003 03/04 18:09:34 - mmengine - INFO - Epoch(val) [84][196/196] accuracy/top1: 73.6800 accuracy/top5: 91.7620 03/04 18:10:19 - mmengine - INFO - Epoch(train) [85][ 100/5005] lr: 6.1847e-03 eta: 7:58:37 time: 0.3666 data_time: 0.0056 loss: 1.3290 03/04 18:10:54 - mmengine - INFO - Epoch(train) [85][ 200/5005] lr: 6.1847e-03 eta: 7:58:01 time: 0.3423 data_time: 0.0055 loss: 1.2557 03/04 18:11:31 - mmengine - INFO - Epoch(train) [85][ 300/5005] lr: 6.1847e-03 eta: 7:57:25 time: 0.3712 data_time: 0.0053 loss: 1.3802 03/04 18:12:06 - mmengine - INFO - Epoch(train) [85][ 400/5005] lr: 6.1847e-03 eta: 7:56:49 time: 0.3522 data_time: 0.0053 loss: 1.3706 03/04 18:12:42 - mmengine - INFO - Epoch(train) [85][ 500/5005] lr: 6.1847e-03 eta: 7:56:13 time: 0.3466 data_time: 0.0056 loss: 1.2370 03/04 18:13:10 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 18:13:18 - mmengine - INFO - Epoch(train) [85][ 600/5005] lr: 6.1847e-03 eta: 7:55:38 time: 0.3587 data_time: 0.0054 loss: 1.2612 03/04 18:13:53 - mmengine - INFO - Epoch(train) [85][ 700/5005] lr: 6.1847e-03 eta: 7:55:02 time: 0.3635 data_time: 0.0053 loss: 1.2516 03/04 18:14:29 - mmengine - INFO - Epoch(train) [85][ 800/5005] lr: 6.1847e-03 eta: 7:54:26 time: 0.3587 data_time: 0.0054 loss: 1.1787 03/04 18:15:05 - mmengine - INFO - Epoch(train) [85][ 900/5005] lr: 6.1847e-03 eta: 7:53:50 time: 0.3595 data_time: 0.0058 loss: 1.1728 03/04 18:15:40 - mmengine - INFO - Epoch(train) [85][1000/5005] lr: 6.1847e-03 eta: 7:53:14 time: 0.3463 data_time: 0.0056 loss: 1.2014 03/04 18:16:16 - mmengine - INFO - Epoch(train) [85][1100/5005] lr: 6.1847e-03 eta: 7:52:38 time: 0.3458 data_time: 0.0056 loss: 1.2583 03/04 18:16:52 - mmengine - INFO - Epoch(train) [85][1200/5005] lr: 6.1847e-03 eta: 7:52:02 time: 0.3507 data_time: 0.0054 loss: 1.1038 03/04 18:17:28 - mmengine - INFO - Epoch(train) [85][1300/5005] lr: 6.1847e-03 eta: 7:51:26 time: 0.3495 data_time: 0.0053 loss: 1.2779 03/04 18:18:03 - mmengine - INFO - Epoch(train) [85][1400/5005] lr: 6.1847e-03 eta: 7:50:50 time: 0.3502 data_time: 0.0056 loss: 1.1133 03/04 18:18:39 - mmengine - INFO - Epoch(train) [85][1500/5005] lr: 6.1847e-03 eta: 7:50:14 time: 0.3531 data_time: 0.0053 loss: 1.1636 03/04 18:19:07 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 18:19:14 - mmengine - INFO - Epoch(train) [85][1600/5005] lr: 6.1847e-03 eta: 7:49:38 time: 0.3478 data_time: 0.0054 loss: 1.2469 03/04 18:19:50 - mmengine - INFO - Epoch(train) [85][1700/5005] lr: 6.1847e-03 eta: 7:49:02 time: 0.3449 data_time: 0.0055 loss: 1.1447 03/04 18:20:25 - mmengine - INFO - Epoch(train) [85][1800/5005] lr: 6.1847e-03 eta: 7:48:26 time: 0.3378 data_time: 0.0055 loss: 1.3019 03/04 18:21:01 - mmengine - INFO - Epoch(train) [85][1900/5005] lr: 6.1847e-03 eta: 7:47:50 time: 0.3606 data_time: 0.0053 loss: 1.1573 03/04 18:21:37 - mmengine - INFO - Epoch(train) [85][2000/5005] lr: 6.1847e-03 eta: 7:47:14 time: 0.3465 data_time: 0.0053 loss: 1.1994 03/04 18:22:12 - mmengine - INFO - Epoch(train) [85][2100/5005] lr: 6.1847e-03 eta: 7:46:38 time: 0.3432 data_time: 0.0057 loss: 1.2169 03/04 18:22:48 - mmengine - INFO - Epoch(train) [85][2200/5005] lr: 6.1847e-03 eta: 7:46:02 time: 0.3513 data_time: 0.0053 loss: 1.4568 03/04 18:23:23 - mmengine - INFO - Epoch(train) [85][2300/5005] lr: 6.1847e-03 eta: 7:45:26 time: 0.3454 data_time: 0.0055 loss: 1.3560 03/04 18:23:59 - mmengine - INFO - Epoch(train) [85][2400/5005] lr: 6.1847e-03 eta: 7:44:50 time: 0.3612 data_time: 0.0055 loss: 1.2150 03/04 18:24:34 - mmengine - INFO - Epoch(train) [85][2500/5005] lr: 6.1847e-03 eta: 7:44:14 time: 0.3551 data_time: 0.0055 loss: 1.1131 03/04 18:25:02 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 18:25:09 - mmengine - INFO - Epoch(train) [85][2600/5005] lr: 6.1847e-03 eta: 7:43:38 time: 0.3464 data_time: 0.0053 loss: 1.2377 03/04 18:25:45 - mmengine - INFO - Epoch(train) [85][2700/5005] lr: 6.1847e-03 eta: 7:43:02 time: 0.3490 data_time: 0.0057 loss: 1.2831 03/04 18:26:20 - mmengine - INFO - Epoch(train) [85][2800/5005] lr: 6.1847e-03 eta: 7:42:26 time: 0.3488 data_time: 0.0054 loss: 1.2850 03/04 18:26:56 - mmengine - INFO - Epoch(train) [85][2900/5005] lr: 6.1847e-03 eta: 7:41:50 time: 0.3489 data_time: 0.0056 loss: 1.2163 03/04 18:27:32 - mmengine - INFO - Epoch(train) [85][3000/5005] lr: 6.1847e-03 eta: 7:41:14 time: 0.3578 data_time: 0.0054 loss: 1.1251 03/04 18:28:07 - mmengine - INFO - Epoch(train) [85][3100/5005] lr: 6.1847e-03 eta: 7:40:38 time: 0.3472 data_time: 0.0057 loss: 1.2471 03/04 18:28:43 - mmengine - INFO - Epoch(train) [85][3200/5005] lr: 6.1847e-03 eta: 7:40:02 time: 0.3486 data_time: 0.0054 loss: 1.2019 03/04 18:29:18 - mmengine - INFO - Epoch(train) [85][3300/5005] lr: 6.1847e-03 eta: 7:39:26 time: 0.3710 data_time: 0.0056 loss: 1.2934 03/04 18:29:54 - mmengine - INFO - Epoch(train) [85][3400/5005] lr: 6.1847e-03 eta: 7:38:50 time: 0.3539 data_time: 0.0056 loss: 1.1470 03/04 18:30:29 - mmengine - INFO - Epoch(train) [85][3500/5005] lr: 6.1847e-03 eta: 7:38:14 time: 0.3701 data_time: 0.0053 loss: 1.1949 03/04 18:30:57 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 18:31:05 - mmengine - INFO - Epoch(train) [85][3600/5005] lr: 6.1847e-03 eta: 7:37:38 time: 0.3562 data_time: 0.0058 loss: 1.3576 03/04 18:31:40 - mmengine - INFO - Epoch(train) [85][3700/5005] lr: 6.1847e-03 eta: 7:37:02 time: 0.3512 data_time: 0.0056 loss: 1.1329 03/04 18:32:16 - mmengine - INFO - Epoch(train) [85][3800/5005] lr: 6.1847e-03 eta: 7:36:26 time: 0.3630 data_time: 0.0054 loss: 1.3765 03/04 18:32:51 - mmengine - INFO - Epoch(train) [85][3900/5005] lr: 6.1847e-03 eta: 7:35:50 time: 0.3709 data_time: 0.0055 loss: 1.3487 03/04 18:33:27 - mmengine - INFO - Epoch(train) [85][4000/5005] lr: 6.1847e-03 eta: 7:35:14 time: 0.3373 data_time: 0.0056 loss: 1.2321 03/04 18:34:02 - mmengine - INFO - Epoch(train) [85][4100/5005] lr: 6.1847e-03 eta: 7:34:38 time: 0.3481 data_time: 0.0054 loss: 1.3861 03/04 18:34:38 - mmengine - INFO - Epoch(train) [85][4200/5005] lr: 6.1847e-03 eta: 7:34:02 time: 0.3570 data_time: 0.0056 loss: 1.1263 03/04 18:35:13 - mmengine - INFO - Epoch(train) [85][4300/5005] lr: 6.1847e-03 eta: 7:33:26 time: 0.3444 data_time: 0.0056 loss: 1.1903 03/04 18:35:49 - mmengine - INFO - Epoch(train) [85][4400/5005] lr: 6.1847e-03 eta: 7:32:50 time: 0.3865 data_time: 0.0056 loss: 1.3523 03/04 18:36:24 - mmengine - INFO - Epoch(train) [85][4500/5005] lr: 6.1847e-03 eta: 7:32:14 time: 0.3445 data_time: 0.0055 loss: 1.2734 03/04 18:36:52 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 18:36:59 - mmengine - INFO - Epoch(train) [85][4600/5005] lr: 6.1847e-03 eta: 7:31:38 time: 0.3520 data_time: 0.0054 loss: 1.3804 03/04 18:37:35 - mmengine - INFO - Epoch(train) [85][4700/5005] lr: 6.1847e-03 eta: 7:31:02 time: 0.3539 data_time: 0.0056 loss: 1.1420 03/04 18:38:11 - mmengine - INFO - Epoch(train) [85][4800/5005] lr: 6.1847e-03 eta: 7:30:26 time: 0.3601 data_time: 0.0056 loss: 1.2225 03/04 18:38:48 - mmengine - INFO - Epoch(train) [85][4900/5005] lr: 6.1847e-03 eta: 7:29:50 time: 0.3875 data_time: 0.0059 loss: 1.2413 03/04 18:39:31 - mmengine - INFO - Epoch(train) [85][5000/5005] lr: 6.1847e-03 eta: 7:29:15 time: 0.4550 data_time: 0.0066 loss: 1.0881 03/04 18:39:33 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 18:39:36 - mmengine - INFO - Saving checkpoint at 85 epochs 03/04 18:39:54 - mmengine - INFO - Epoch(val) [85][100/196] eta: 0:00:15 time: 0.0497 data_time: 0.0004 03/04 18:40:10 - mmengine - INFO - Epoch(val) [85][196/196] accuracy/top1: 73.8240 accuracy/top5: 91.8040 03/04 18:40:55 - mmengine - INFO - Epoch(train) [86][ 100/5005] lr: 5.4497e-03 eta: 7:28:39 time: 0.3524 data_time: 0.0059 loss: 1.1413 03/04 18:41:31 - mmengine - INFO - Epoch(train) [86][ 200/5005] lr: 5.4497e-03 eta: 7:28:03 time: 0.3517 data_time: 0.0058 loss: 1.1793 03/04 18:42:07 - mmengine - INFO - Epoch(train) [86][ 300/5005] lr: 5.4497e-03 eta: 7:27:27 time: 0.3444 data_time: 0.0060 loss: 1.2920 03/04 18:42:43 - mmengine - INFO - Epoch(train) [86][ 400/5005] lr: 5.4497e-03 eta: 7:26:51 time: 0.3763 data_time: 0.0054 loss: 0.9879 03/04 18:43:19 - mmengine - INFO - Epoch(train) [86][ 500/5005] lr: 5.4497e-03 eta: 7:26:15 time: 0.3626 data_time: 0.0055 loss: 1.1803 03/04 18:43:46 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 18:43:55 - mmengine - INFO - Epoch(train) [86][ 600/5005] lr: 5.4497e-03 eta: 7:25:40 time: 0.3536 data_time: 0.0057 loss: 1.1835 03/04 18:44:31 - mmengine - INFO - Epoch(train) [86][ 700/5005] lr: 5.4497e-03 eta: 7:25:04 time: 0.3426 data_time: 0.0056 loss: 1.3275 03/04 18:45:06 - mmengine - INFO - Epoch(train) [86][ 800/5005] lr: 5.4497e-03 eta: 7:24:28 time: 0.3687 data_time: 0.0056 loss: 1.2811 03/04 18:45:42 - mmengine - INFO - Epoch(train) [86][ 900/5005] lr: 5.4497e-03 eta: 7:23:52 time: 0.3450 data_time: 0.0057 loss: 1.2674 03/04 18:46:18 - mmengine - INFO - Epoch(train) [86][1000/5005] lr: 5.4497e-03 eta: 7:23:16 time: 0.3523 data_time: 0.0058 loss: 1.2239 03/04 18:46:54 - mmengine - INFO - Epoch(train) [86][1100/5005] lr: 5.4497e-03 eta: 7:22:40 time: 0.3627 data_time: 0.0056 loss: 1.1340 03/04 18:47:30 - mmengine - INFO - Epoch(train) [86][1200/5005] lr: 5.4497e-03 eta: 7:22:04 time: 0.3465 data_time: 0.0056 loss: 1.0496 03/04 18:48:06 - mmengine - INFO - Epoch(train) [86][1300/5005] lr: 5.4497e-03 eta: 7:21:28 time: 0.3761 data_time: 0.0056 loss: 0.9763 03/04 18:48:41 - mmengine - INFO - Epoch(train) [86][1400/5005] lr: 5.4497e-03 eta: 7:20:52 time: 0.3479 data_time: 0.0057 loss: 1.2191 03/04 18:49:17 - mmengine - INFO - Epoch(train) [86][1500/5005] lr: 5.4497e-03 eta: 7:20:16 time: 0.3577 data_time: 0.0056 loss: 1.2573 03/04 18:49:43 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 18:49:52 - mmengine - INFO - Epoch(train) [86][1600/5005] lr: 5.4497e-03 eta: 7:19:40 time: 0.3520 data_time: 0.0060 loss: 1.3029 03/04 18:50:28 - mmengine - INFO - Epoch(train) [86][1700/5005] lr: 5.4497e-03 eta: 7:19:04 time: 0.3571 data_time: 0.0056 loss: 1.1322 03/04 18:51:04 - mmengine - INFO - Epoch(train) [86][1800/5005] lr: 5.4497e-03 eta: 7:18:28 time: 0.3493 data_time: 0.0056 loss: 1.0808 03/04 18:51:40 - mmengine - INFO - Epoch(train) [86][1900/5005] lr: 5.4497e-03 eta: 7:17:52 time: 0.3678 data_time: 0.0056 loss: 1.3289 03/04 18:52:16 - mmengine - INFO - Epoch(train) [86][2000/5005] lr: 5.4497e-03 eta: 7:17:16 time: 0.3459 data_time: 0.0056 loss: 1.3373 03/04 18:52:51 - mmengine - INFO - Epoch(train) [86][2100/5005] lr: 5.4497e-03 eta: 7:16:40 time: 0.3807 data_time: 0.0056 loss: 1.1188 03/04 18:53:27 - mmengine - INFO - Epoch(train) [86][2200/5005] lr: 5.4497e-03 eta: 7:16:04 time: 0.3370 data_time: 0.0054 loss: 1.3452 03/04 18:54:02 - mmengine - INFO - Epoch(train) [86][2300/5005] lr: 5.4497e-03 eta: 7:15:28 time: 0.3505 data_time: 0.0055 loss: 1.2537 03/04 18:54:38 - mmengine - INFO - Epoch(train) [86][2400/5005] lr: 5.4497e-03 eta: 7:14:52 time: 0.3464 data_time: 0.0055 loss: 1.1261 03/04 18:55:14 - mmengine - INFO - Epoch(train) [86][2500/5005] lr: 5.4497e-03 eta: 7:14:16 time: 0.3496 data_time: 0.0055 loss: 1.2023 03/04 18:55:41 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 18:55:50 - mmengine - INFO - Epoch(train) [86][2600/5005] lr: 5.4497e-03 eta: 7:13:40 time: 0.3467 data_time: 0.0057 loss: 1.0329 03/04 18:56:26 - mmengine - INFO - Epoch(train) [86][2700/5005] lr: 5.4497e-03 eta: 7:13:04 time: 0.3544 data_time: 0.0057 loss: 1.0552 03/04 18:57:01 - mmengine - INFO - Epoch(train) [86][2800/5005] lr: 5.4497e-03 eta: 7:12:28 time: 0.3644 data_time: 0.0057 loss: 1.0581 03/04 18:57:37 - mmengine - INFO - Epoch(train) [86][2900/5005] lr: 5.4497e-03 eta: 7:11:52 time: 0.3737 data_time: 0.0057 loss: 1.3875 03/04 18:58:12 - mmengine - INFO - Epoch(train) [86][3000/5005] lr: 5.4497e-03 eta: 7:11:16 time: 0.3529 data_time: 0.0057 loss: 1.1694 03/04 18:58:48 - mmengine - INFO - Epoch(train) [86][3100/5005] lr: 5.4497e-03 eta: 7:10:41 time: 0.3440 data_time: 0.0054 loss: 1.3750 03/04 18:59:23 - mmengine - INFO - Epoch(train) [86][3200/5005] lr: 5.4497e-03 eta: 7:10:05 time: 0.3507 data_time: 0.0059 loss: 1.2768 03/04 18:59:59 - mmengine - INFO - Epoch(train) [86][3300/5005] lr: 5.4497e-03 eta: 7:09:29 time: 0.3512 data_time: 0.0056 loss: 1.2949 03/04 19:00:35 - mmengine - INFO - Epoch(train) [86][3400/5005] lr: 5.4497e-03 eta: 7:08:53 time: 0.3514 data_time: 0.0056 loss: 1.1809 03/04 19:01:10 - mmengine - INFO - Epoch(train) [86][3500/5005] lr: 5.4497e-03 eta: 7:08:17 time: 0.3672 data_time: 0.0053 loss: 1.2420 03/04 19:01:37 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 19:01:46 - mmengine - INFO - Epoch(train) [86][3600/5005] lr: 5.4497e-03 eta: 7:07:41 time: 0.3476 data_time: 0.0055 loss: 1.1331 03/04 19:02:21 - mmengine - INFO - Epoch(train) [86][3700/5005] lr: 5.4497e-03 eta: 7:07:05 time: 0.3470 data_time: 0.0055 loss: 1.3295 03/04 19:02:57 - mmengine - INFO - Epoch(train) [86][3800/5005] lr: 5.4497e-03 eta: 7:06:29 time: 0.3480 data_time: 0.0058 loss: 1.3118 03/04 19:03:33 - mmengine - INFO - Epoch(train) [86][3900/5005] lr: 5.4497e-03 eta: 7:05:53 time: 0.3681 data_time: 0.0056 loss: 1.0263 03/04 19:04:09 - mmengine - INFO - Epoch(train) [86][4000/5005] lr: 5.4497e-03 eta: 7:05:17 time: 0.3450 data_time: 0.0054 loss: 1.3610 03/04 19:04:44 - mmengine - INFO - Epoch(train) [86][4100/5005] lr: 5.4497e-03 eta: 7:04:41 time: 0.3426 data_time: 0.0056 loss: 1.3857 03/04 19:05:20 - mmengine - INFO - Epoch(train) [86][4200/5005] lr: 5.4497e-03 eta: 7:04:05 time: 0.3540 data_time: 0.0057 loss: 1.1363 03/04 19:05:56 - mmengine - INFO - Epoch(train) [86][4300/5005] lr: 5.4497e-03 eta: 7:03:29 time: 0.3481 data_time: 0.0055 loss: 1.1893 03/04 19:06:31 - mmengine - INFO - Epoch(train) [86][4400/5005] lr: 5.4497e-03 eta: 7:02:53 time: 0.3522 data_time: 0.0053 loss: 1.1692 03/04 19:07:07 - mmengine - INFO - Epoch(train) [86][4500/5005] lr: 5.4497e-03 eta: 7:02:17 time: 0.3587 data_time: 0.0052 loss: 1.2188 03/04 19:07:34 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 19:07:43 - mmengine - INFO - Epoch(train) [86][4600/5005] lr: 5.4497e-03 eta: 7:01:41 time: 0.3567 data_time: 0.0056 loss: 1.2603 03/04 19:08:19 - mmengine - INFO - Epoch(train) [86][4700/5005] lr: 5.4497e-03 eta: 7:01:05 time: 0.3448 data_time: 0.0056 loss: 1.2987 03/04 19:08:55 - mmengine - INFO - Epoch(train) [86][4800/5005] lr: 5.4497e-03 eta: 7:00:29 time: 0.3615 data_time: 0.0052 loss: 1.2703 03/04 19:09:32 - mmengine - INFO - Epoch(train) [86][4900/5005] lr: 5.4497e-03 eta: 6:59:53 time: 0.4587 data_time: 0.0075 loss: 1.1542 03/04 19:10:16 - mmengine - INFO - Epoch(train) [86][5000/5005] lr: 5.4497e-03 eta: 6:59:19 time: 0.4339 data_time: 0.0057 loss: 1.3090 03/04 19:10:18 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 19:10:21 - mmengine - INFO - Saving checkpoint at 86 epochs 03/04 19:10:38 - mmengine - INFO - Epoch(val) [86][100/196] eta: 0:00:14 time: 0.0426 data_time: 0.0003 03/04 19:10:54 - mmengine - INFO - Epoch(val) [86][196/196] accuracy/top1: 74.3760 accuracy/top5: 92.0580 03/04 19:11:40 - mmengine - INFO - Epoch(train) [87][ 100/5005] lr: 4.7586e-03 eta: 6:58:43 time: 0.3513 data_time: 0.0054 loss: 1.3006 03/04 19:12:16 - mmengine - INFO - Epoch(train) [87][ 200/5005] lr: 4.7586e-03 eta: 6:58:07 time: 0.3626 data_time: 0.0057 loss: 1.2128 03/04 19:12:52 - mmengine - INFO - Epoch(train) [87][ 300/5005] lr: 4.7586e-03 eta: 6:57:31 time: 0.3431 data_time: 0.0057 loss: 0.9598 03/04 19:13:27 - mmengine - INFO - Epoch(train) [87][ 400/5005] lr: 4.7586e-03 eta: 6:56:55 time: 0.3623 data_time: 0.0059 loss: 1.3278 03/04 19:14:03 - mmengine - INFO - Epoch(train) [87][ 500/5005] lr: 4.7586e-03 eta: 6:56:19 time: 0.3718 data_time: 0.0059 loss: 1.1688 03/04 19:14:29 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 19:14:39 - mmengine - INFO - Epoch(train) [87][ 600/5005] lr: 4.7586e-03 eta: 6:55:43 time: 0.3559 data_time: 0.0056 loss: 1.0803 03/04 19:15:15 - mmengine - INFO - Epoch(train) [87][ 700/5005] lr: 4.7586e-03 eta: 6:55:07 time: 0.3465 data_time: 0.0057 loss: 1.1356 03/04 19:15:51 - mmengine - INFO - Epoch(train) [87][ 800/5005] lr: 4.7586e-03 eta: 6:54:31 time: 0.3661 data_time: 0.0057 loss: 1.1438 03/04 19:16:27 - mmengine - INFO - Epoch(train) [87][ 900/5005] lr: 4.7586e-03 eta: 6:53:55 time: 0.3436 data_time: 0.0055 loss: 1.0768 03/04 19:17:03 - mmengine - INFO - Epoch(train) [87][1000/5005] lr: 4.7586e-03 eta: 6:53:19 time: 0.3738 data_time: 0.0056 loss: 1.1878 03/04 19:17:39 - mmengine - INFO - Epoch(train) [87][1100/5005] lr: 4.7586e-03 eta: 6:52:43 time: 0.3468 data_time: 0.0056 loss: 1.3603 03/04 19:18:15 - mmengine - INFO - Epoch(train) [87][1200/5005] lr: 4.7586e-03 eta: 6:52:07 time: 0.3497 data_time: 0.0053 loss: 1.0581 03/04 19:18:50 - mmengine - INFO - Epoch(train) [87][1300/5005] lr: 4.7586e-03 eta: 6:51:31 time: 0.3544 data_time: 0.0055 loss: 1.1364 03/04 19:19:26 - mmengine - INFO - Epoch(train) [87][1400/5005] lr: 4.7586e-03 eta: 6:50:56 time: 0.3768 data_time: 0.0057 loss: 1.2067 03/04 19:20:02 - mmengine - INFO - Epoch(train) [87][1500/5005] lr: 4.7586e-03 eta: 6:50:20 time: 0.3563 data_time: 0.0056 loss: 1.2533 03/04 19:20:27 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 19:20:37 - mmengine - INFO - Epoch(train) [87][1600/5005] lr: 4.7586e-03 eta: 6:49:44 time: 0.3477 data_time: 0.0055 loss: 1.2927 03/04 19:21:13 - mmengine - INFO - Epoch(train) [87][1700/5005] lr: 4.7586e-03 eta: 6:49:08 time: 0.3471 data_time: 0.0054 loss: 1.1358 03/04 19:21:49 - mmengine - INFO - Epoch(train) [87][1800/5005] lr: 4.7586e-03 eta: 6:48:32 time: 0.3363 data_time: 0.0055 loss: 1.1299 03/04 19:22:25 - mmengine - INFO - Epoch(train) [87][1900/5005] lr: 4.7586e-03 eta: 6:47:56 time: 0.3508 data_time: 0.0056 loss: 1.0641 03/04 19:23:00 - mmengine - INFO - Epoch(train) [87][2000/5005] lr: 4.7586e-03 eta: 6:47:20 time: 0.3478 data_time: 0.0058 loss: 1.1371 03/04 19:23:36 - mmengine - INFO - Epoch(train) [87][2100/5005] lr: 4.7586e-03 eta: 6:46:44 time: 0.3684 data_time: 0.0056 loss: 1.2261 03/04 19:24:12 - mmengine - INFO - Epoch(train) [87][2200/5005] lr: 4.7586e-03 eta: 6:46:08 time: 0.3543 data_time: 0.0054 loss: 1.2319 03/04 19:24:47 - mmengine - INFO - Epoch(train) [87][2300/5005] lr: 4.7586e-03 eta: 6:45:32 time: 0.3568 data_time: 0.0055 loss: 1.2516 03/04 19:25:23 - mmengine - INFO - Epoch(train) [87][2400/5005] lr: 4.7586e-03 eta: 6:44:56 time: 0.3604 data_time: 0.0056 loss: 1.0494 03/04 19:25:58 - mmengine - INFO - Epoch(train) [87][2500/5005] lr: 4.7586e-03 eta: 6:44:20 time: 0.3588 data_time: 0.0054 loss: 1.3102 03/04 19:26:24 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 19:26:34 - mmengine - INFO - Epoch(train) [87][2600/5005] lr: 4.7586e-03 eta: 6:43:44 time: 0.3558 data_time: 0.0056 loss: 1.0791 03/04 19:27:10 - mmengine - INFO - Epoch(train) [87][2700/5005] lr: 4.7586e-03 eta: 6:43:08 time: 0.3512 data_time: 0.0054 loss: 1.2521 03/04 19:27:46 - mmengine - INFO - Epoch(train) [87][2800/5005] lr: 4.7586e-03 eta: 6:42:32 time: 0.3611 data_time: 0.0054 loss: 1.2045 03/04 19:28:21 - mmengine - INFO - Epoch(train) [87][2900/5005] lr: 4.7586e-03 eta: 6:41:56 time: 0.3478 data_time: 0.0057 loss: 1.0701 03/04 19:28:57 - mmengine - INFO - Epoch(train) [87][3000/5005] lr: 4.7586e-03 eta: 6:41:20 time: 0.3460 data_time: 0.0057 loss: 1.1558 03/04 19:29:33 - mmengine - INFO - Epoch(train) [87][3100/5005] lr: 4.7586e-03 eta: 6:40:44 time: 0.3626 data_time: 0.0057 loss: 1.3077 03/04 19:30:09 - mmengine - INFO - Epoch(train) [87][3200/5005] lr: 4.7586e-03 eta: 6:40:08 time: 0.3462 data_time: 0.0056 loss: 1.0876 03/04 19:30:45 - mmengine - INFO - Epoch(train) [87][3300/5005] lr: 4.7586e-03 eta: 6:39:32 time: 0.3589 data_time: 0.0056 loss: 1.2800 03/04 19:31:20 - mmengine - INFO - Epoch(train) [87][3400/5005] lr: 4.7586e-03 eta: 6:38:56 time: 0.3532 data_time: 0.0055 loss: 1.1976 03/04 19:31:56 - mmengine - INFO - Epoch(train) [87][3500/5005] lr: 4.7586e-03 eta: 6:38:20 time: 0.3650 data_time: 0.0054 loss: 1.3086 03/04 19:32:21 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 19:32:31 - mmengine - INFO - Epoch(train) [87][3600/5005] lr: 4.7586e-03 eta: 6:37:44 time: 0.3676 data_time: 0.0056 loss: 1.2800 03/04 19:33:07 - mmengine - INFO - Epoch(train) [87][3700/5005] lr: 4.7586e-03 eta: 6:37:08 time: 0.3597 data_time: 0.0058 loss: 1.1847 03/04 19:33:43 - mmengine - INFO - Epoch(train) [87][3800/5005] lr: 4.7586e-03 eta: 6:36:33 time: 0.3597 data_time: 0.0054 loss: 1.1827 03/04 19:34:19 - mmengine - INFO - Epoch(train) [87][3900/5005] lr: 4.7586e-03 eta: 6:35:57 time: 0.3427 data_time: 0.0055 loss: 1.0928 03/04 19:34:55 - mmengine - INFO - Epoch(train) [87][4000/5005] lr: 4.7586e-03 eta: 6:35:21 time: 0.3449 data_time: 0.0055 loss: 1.1836 03/04 19:35:30 - mmengine - INFO - Epoch(train) [87][4100/5005] lr: 4.7586e-03 eta: 6:34:45 time: 0.3497 data_time: 0.0054 loss: 1.2121 03/04 19:36:06 - mmengine - INFO - Epoch(train) [87][4200/5005] lr: 4.7586e-03 eta: 6:34:09 time: 0.3555 data_time: 0.0057 loss: 1.2147 03/04 19:36:41 - mmengine - INFO - Epoch(train) [87][4300/5005] lr: 4.7586e-03 eta: 6:33:33 time: 0.3485 data_time: 0.0056 loss: 1.1738 03/04 19:37:17 - mmengine - INFO - Epoch(train) [87][4400/5005] lr: 4.7586e-03 eta: 6:32:57 time: 0.3428 data_time: 0.0055 loss: 1.1329 03/04 19:37:52 - mmengine - INFO - Epoch(train) [87][4500/5005] lr: 4.7586e-03 eta: 6:32:21 time: 0.3452 data_time: 0.0055 loss: 1.0589 03/04 19:38:17 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 19:38:28 - mmengine - INFO - Epoch(train) [87][4600/5005] lr: 4.7586e-03 eta: 6:31:45 time: 0.3611 data_time: 0.0057 loss: 1.2617 03/04 19:39:04 - mmengine - INFO - Epoch(train) [87][4700/5005] lr: 4.7586e-03 eta: 6:31:09 time: 0.3537 data_time: 0.0057 loss: 1.2794 03/04 19:39:40 - mmengine - INFO - Epoch(train) [87][4800/5005] lr: 4.7586e-03 eta: 6:30:33 time: 0.3773 data_time: 0.0056 loss: 1.3900 03/04 19:40:16 - mmengine - INFO - Epoch(train) [87][4900/5005] lr: 4.7586e-03 eta: 6:29:57 time: 0.4527 data_time: 0.0064 loss: 0.9429 03/04 19:41:01 - mmengine - INFO - Epoch(train) [87][5000/5005] lr: 4.7586e-03 eta: 6:29:22 time: 0.4203 data_time: 0.0058 loss: 1.0564 03/04 19:41:03 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 19:41:06 - mmengine - INFO - Saving checkpoint at 87 epochs 03/04 19:41:24 - mmengine - INFO - Epoch(val) [87][100/196] eta: 0:00:16 time: 0.0451 data_time: 0.0003 03/04 19:41:41 - mmengine - INFO - Epoch(val) [87][196/196] accuracy/top1: 74.6360 accuracy/top5: 92.2720 03/04 19:42:26 - mmengine - INFO - Epoch(train) [88][ 100/5005] lr: 4.1123e-03 eta: 6:28:46 time: 0.3784 data_time: 0.0057 loss: 1.1887 03/04 19:43:02 - mmengine - INFO - Epoch(train) [88][ 200/5005] lr: 4.1123e-03 eta: 6:28:10 time: 0.3478 data_time: 0.0054 loss: 1.1817 03/04 19:43:38 - mmengine - INFO - Epoch(train) [88][ 300/5005] lr: 4.1123e-03 eta: 6:27:34 time: 0.3478 data_time: 0.0055 loss: 1.2008 03/04 19:44:14 - mmengine - INFO - Epoch(train) [88][ 400/5005] lr: 4.1123e-03 eta: 6:26:58 time: 0.3732 data_time: 0.0056 loss: 1.4144 03/04 19:44:50 - mmengine - INFO - Epoch(train) [88][ 500/5005] lr: 4.1123e-03 eta: 6:26:23 time: 0.3702 data_time: 0.0060 loss: 1.1537 03/04 19:45:14 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 19:45:27 - mmengine - INFO - Epoch(train) [88][ 600/5005] lr: 4.1123e-03 eta: 6:25:47 time: 0.3495 data_time: 0.0059 loss: 1.1839 03/04 19:46:03 - mmengine - INFO - Epoch(train) [88][ 700/5005] lr: 4.1123e-03 eta: 6:25:11 time: 0.3526 data_time: 0.0055 loss: 1.1528 03/04 19:46:38 - mmengine - INFO - Epoch(train) [88][ 800/5005] lr: 4.1123e-03 eta: 6:24:35 time: 0.3493 data_time: 0.0055 loss: 1.2656 03/04 19:47:14 - mmengine - INFO - Epoch(train) [88][ 900/5005] lr: 4.1123e-03 eta: 6:23:59 time: 0.3496 data_time: 0.0056 loss: 1.1706 03/04 19:47:50 - mmengine - INFO - Epoch(train) [88][1000/5005] lr: 4.1123e-03 eta: 6:23:23 time: 0.3737 data_time: 0.0055 loss: 1.0091 03/04 19:48:25 - mmengine - INFO - Epoch(train) [88][1100/5005] lr: 4.1123e-03 eta: 6:22:47 time: 0.3386 data_time: 0.0055 loss: 1.1534 03/04 19:49:01 - mmengine - INFO - Epoch(train) [88][1200/5005] lr: 4.1123e-03 eta: 6:22:11 time: 0.3612 data_time: 0.0055 loss: 1.3752 03/04 19:49:37 - mmengine - INFO - Epoch(train) [88][1300/5005] lr: 4.1123e-03 eta: 6:21:35 time: 0.3549 data_time: 0.0057 loss: 1.3797 03/04 19:50:13 - mmengine - INFO - Epoch(train) [88][1400/5005] lr: 4.1123e-03 eta: 6:20:59 time: 0.3815 data_time: 0.0058 loss: 1.0796 03/04 19:50:49 - mmengine - INFO - Epoch(train) [88][1500/5005] lr: 4.1123e-03 eta: 6:20:23 time: 0.3439 data_time: 0.0057 loss: 1.1225 03/04 19:51:12 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 19:51:25 - mmengine - INFO - Epoch(train) [88][1600/5005] lr: 4.1123e-03 eta: 6:19:47 time: 0.3515 data_time: 0.0057 loss: 1.3995 03/04 19:52:01 - mmengine - INFO - Epoch(train) [88][1700/5005] lr: 4.1123e-03 eta: 6:19:11 time: 0.3570 data_time: 0.0055 loss: 1.0857 03/04 19:52:36 - mmengine - INFO - Epoch(train) [88][1800/5005] lr: 4.1123e-03 eta: 6:18:35 time: 0.3424 data_time: 0.0059 loss: 1.0352 03/04 19:53:12 - mmengine - INFO - Epoch(train) [88][1900/5005] lr: 4.1123e-03 eta: 6:17:59 time: 0.3573 data_time: 0.0056 loss: 1.1477 03/04 19:53:48 - mmengine - INFO - Epoch(train) [88][2000/5005] lr: 4.1123e-03 eta: 6:17:23 time: 0.3644 data_time: 0.0057 loss: 1.1463 03/04 19:54:23 - mmengine - INFO - Epoch(train) [88][2100/5005] lr: 4.1123e-03 eta: 6:16:47 time: 0.3584 data_time: 0.0054 loss: 1.2998 03/04 19:54:59 - mmengine - INFO - Epoch(train) [88][2200/5005] lr: 4.1123e-03 eta: 6:16:11 time: 0.3466 data_time: 0.0056 loss: 1.0832 03/04 19:55:34 - mmengine - INFO - Epoch(train) [88][2300/5005] lr: 4.1123e-03 eta: 6:15:35 time: 0.3530 data_time: 0.0055 loss: 1.2180 03/04 19:56:10 - mmengine - INFO - Epoch(train) [88][2400/5005] lr: 4.1123e-03 eta: 6:15:00 time: 0.3516 data_time: 0.0056 loss: 1.0801 03/04 19:56:46 - mmengine - INFO - Epoch(train) [88][2500/5005] lr: 4.1123e-03 eta: 6:14:24 time: 0.3538 data_time: 0.0053 loss: 1.1510 03/04 19:57:09 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 19:57:21 - mmengine - INFO - Epoch(train) [88][2600/5005] lr: 4.1123e-03 eta: 6:13:48 time: 0.3545 data_time: 0.0056 loss: 1.1679 03/04 19:57:57 - mmengine - INFO - Epoch(train) [88][2700/5005] lr: 4.1123e-03 eta: 6:13:12 time: 0.3627 data_time: 0.0056 loss: 1.0991 03/04 19:58:32 - mmengine - INFO - Epoch(train) [88][2800/5005] lr: 4.1123e-03 eta: 6:12:36 time: 0.3558 data_time: 0.0060 loss: 1.2790 03/04 19:59:08 - mmengine - INFO - Epoch(train) [88][2900/5005] lr: 4.1123e-03 eta: 6:12:00 time: 0.3722 data_time: 0.0057 loss: 0.9533 03/04 19:59:44 - mmengine - INFO - Epoch(train) [88][3000/5005] lr: 4.1123e-03 eta: 6:11:24 time: 0.3479 data_time: 0.0054 loss: 1.1428 03/04 20:00:19 - mmengine - INFO - Epoch(train) [88][3100/5005] lr: 4.1123e-03 eta: 6:10:48 time: 0.3590 data_time: 0.0055 loss: 1.1727 03/04 20:00:55 - mmengine - INFO - Epoch(train) [88][3200/5005] lr: 4.1123e-03 eta: 6:10:12 time: 0.3452 data_time: 0.0054 loss: 1.0118 03/04 20:01:30 - mmengine - INFO - Epoch(train) [88][3300/5005] lr: 4.1123e-03 eta: 6:09:36 time: 0.3431 data_time: 0.0057 loss: 1.1612 03/04 20:02:06 - mmengine - INFO - Epoch(train) [88][3400/5005] lr: 4.1123e-03 eta: 6:09:00 time: 0.3505 data_time: 0.0059 loss: 1.1688 03/04 20:02:42 - mmengine - INFO - Epoch(train) [88][3500/5005] lr: 4.1123e-03 eta: 6:08:24 time: 0.3623 data_time: 0.0058 loss: 1.2463 03/04 20:03:05 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 20:03:17 - mmengine - INFO - Epoch(train) [88][3600/5005] lr: 4.1123e-03 eta: 6:07:48 time: 0.3594 data_time: 0.0055 loss: 1.2508 03/04 20:03:53 - mmengine - INFO - Epoch(train) [88][3700/5005] lr: 4.1123e-03 eta: 6:07:12 time: 0.3504 data_time: 0.0055 loss: 1.1211 03/04 20:04:28 - mmengine - INFO - Epoch(train) [88][3800/5005] lr: 4.1123e-03 eta: 6:06:36 time: 0.3537 data_time: 0.0057 loss: 1.0495 03/04 20:05:04 - mmengine - INFO - Epoch(train) [88][3900/5005] lr: 4.1123e-03 eta: 6:06:00 time: 0.3507 data_time: 0.0057 loss: 1.1871 03/04 20:05:40 - mmengine - INFO - Epoch(train) [88][4000/5005] lr: 4.1123e-03 eta: 6:05:24 time: 0.3533 data_time: 0.0055 loss: 1.1688 03/04 20:06:16 - mmengine - INFO - Epoch(train) [88][4100/5005] lr: 4.1123e-03 eta: 6:04:48 time: 0.3505 data_time: 0.0055 loss: 1.2468 03/04 20:06:51 - mmengine - INFO - Epoch(train) [88][4200/5005] lr: 4.1123e-03 eta: 6:04:12 time: 0.3526 data_time: 0.0056 loss: 1.0024 03/04 20:07:27 - mmengine - INFO - Epoch(train) [88][4300/5005] lr: 4.1123e-03 eta: 6:03:36 time: 0.3686 data_time: 0.0058 loss: 1.1796 03/04 20:08:02 - mmengine - INFO - Epoch(train) [88][4400/5005] lr: 4.1123e-03 eta: 6:03:00 time: 0.3562 data_time: 0.0054 loss: 1.1540 03/04 20:08:38 - mmengine - INFO - Epoch(train) [88][4500/5005] lr: 4.1123e-03 eta: 6:02:24 time: 0.3450 data_time: 0.0056 loss: 1.2201 03/04 20:09:01 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 20:09:14 - mmengine - INFO - Epoch(train) [88][4600/5005] lr: 4.1123e-03 eta: 6:01:48 time: 0.3594 data_time: 0.0054 loss: 1.1419 03/04 20:09:49 - mmengine - INFO - Epoch(train) [88][4700/5005] lr: 4.1123e-03 eta: 6:01:12 time: 0.3525 data_time: 0.0062 loss: 1.1454 03/04 20:10:25 - mmengine - INFO - Epoch(train) [88][4800/5005] lr: 4.1123e-03 eta: 6:00:36 time: 0.3611 data_time: 0.0058 loss: 1.2970 03/04 20:11:02 - mmengine - INFO - Epoch(train) [88][4900/5005] lr: 4.1123e-03 eta: 6:00:01 time: 0.4031 data_time: 0.0057 loss: 1.2585 03/04 20:11:45 - mmengine - INFO - Epoch(train) [88][5000/5005] lr: 4.1123e-03 eta: 5:59:26 time: 0.4330 data_time: 0.0062 loss: 1.0905 03/04 20:11:47 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 20:11:50 - mmengine - INFO - Saving checkpoint at 88 epochs 03/04 20:12:07 - mmengine - INFO - Epoch(val) [88][100/196] eta: 0:00:14 time: 0.0478 data_time: 0.0003 03/04 20:12:23 - mmengine - INFO - Epoch(val) [88][196/196] accuracy/top1: 74.6920 accuracy/top5: 92.2500 03/04 20:13:09 - mmengine - INFO - Epoch(train) [89][ 100/5005] lr: 3.5112e-03 eta: 5:58:49 time: 0.3648 data_time: 0.0058 loss: 1.0530 03/04 20:13:44 - mmengine - INFO - Epoch(train) [89][ 200/5005] lr: 3.5112e-03 eta: 5:58:13 time: 0.3430 data_time: 0.0054 loss: 1.1110 03/04 20:14:20 - mmengine - INFO - Epoch(train) [89][ 300/5005] lr: 3.5112e-03 eta: 5:57:37 time: 0.3504 data_time: 0.0060 loss: 1.1665 03/04 20:14:56 - mmengine - INFO - Epoch(train) [89][ 400/5005] lr: 3.5112e-03 eta: 5:57:01 time: 0.3686 data_time: 0.0057 loss: 1.0843 03/04 20:15:32 - mmengine - INFO - Epoch(train) [89][ 500/5005] lr: 3.5112e-03 eta: 5:56:25 time: 0.3452 data_time: 0.0055 loss: 1.0559 03/04 20:15:53 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 20:16:08 - mmengine - INFO - Epoch(train) [89][ 600/5005] lr: 3.5112e-03 eta: 5:55:50 time: 0.3471 data_time: 0.0062 loss: 1.1000 03/04 20:16:43 - mmengine - INFO - Epoch(train) [89][ 700/5005] lr: 3.5112e-03 eta: 5:55:14 time: 0.3461 data_time: 0.0056 loss: 1.0084 03/04 20:17:19 - mmengine - INFO - Epoch(train) [89][ 800/5005] lr: 3.5112e-03 eta: 5:54:38 time: 0.3498 data_time: 0.0056 loss: 1.0367 03/04 20:17:55 - mmengine - INFO - Epoch(train) [89][ 900/5005] lr: 3.5112e-03 eta: 5:54:02 time: 0.3586 data_time: 0.0053 loss: 1.0483 03/04 20:18:30 - mmengine - INFO - Epoch(train) [89][1000/5005] lr: 3.5112e-03 eta: 5:53:26 time: 0.3386 data_time: 0.0061 loss: 1.3091 03/04 20:19:06 - mmengine - INFO - Epoch(train) [89][1100/5005] lr: 3.5112e-03 eta: 5:52:50 time: 0.3476 data_time: 0.0055 loss: 1.2960 03/04 20:19:42 - mmengine - INFO - Epoch(train) [89][1200/5005] lr: 3.5112e-03 eta: 5:52:14 time: 0.3685 data_time: 0.0055 loss: 1.1333 03/04 20:20:18 - mmengine - INFO - Epoch(train) [89][1300/5005] lr: 3.5112e-03 eta: 5:51:38 time: 0.3474 data_time: 0.0056 loss: 1.2348 03/04 20:20:53 - mmengine - INFO - Epoch(train) [89][1400/5005] lr: 3.5112e-03 eta: 5:51:02 time: 0.3667 data_time: 0.0054 loss: 1.1630 03/04 20:21:28 - mmengine - INFO - Epoch(train) [89][1500/5005] lr: 3.5112e-03 eta: 5:50:26 time: 0.3397 data_time: 0.0057 loss: 1.2099 03/04 20:21:50 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 20:22:04 - mmengine - INFO - Epoch(train) [89][1600/5005] lr: 3.5112e-03 eta: 5:49:50 time: 0.3660 data_time: 0.0060 loss: 1.2084 03/04 20:22:39 - mmengine - INFO - Epoch(train) [89][1700/5005] lr: 3.5112e-03 eta: 5:49:14 time: 0.3559 data_time: 0.0058 loss: 1.0918 03/04 20:23:15 - mmengine - INFO - Epoch(train) [89][1800/5005] lr: 3.5112e-03 eta: 5:48:38 time: 0.3487 data_time: 0.0056 loss: 1.0412 03/04 20:23:51 - mmengine - INFO - Epoch(train) [89][1900/5005] lr: 3.5112e-03 eta: 5:48:02 time: 0.3491 data_time: 0.0057 loss: 1.3163 03/04 20:24:26 - mmengine - INFO - Epoch(train) [89][2000/5005] lr: 3.5112e-03 eta: 5:47:26 time: 0.3600 data_time: 0.0055 loss: 1.2345 03/04 20:25:02 - mmengine - INFO - Epoch(train) [89][2100/5005] lr: 3.5112e-03 eta: 5:46:50 time: 0.3512 data_time: 0.0056 loss: 1.1247 03/04 20:25:38 - mmengine - INFO - Epoch(train) [89][2200/5005] lr: 3.5112e-03 eta: 5:46:14 time: 0.3569 data_time: 0.0056 loss: 1.0540 03/04 20:26:13 - mmengine - INFO - Epoch(train) [89][2300/5005] lr: 3.5112e-03 eta: 5:45:38 time: 0.3544 data_time: 0.0056 loss: 1.1881 03/04 20:26:49 - mmengine - INFO - Epoch(train) [89][2400/5005] lr: 3.5112e-03 eta: 5:45:02 time: 0.3538 data_time: 0.0056 loss: 1.1997 03/04 20:27:24 - mmengine - INFO - Epoch(train) [89][2500/5005] lr: 3.5112e-03 eta: 5:44:26 time: 0.3468 data_time: 0.0055 loss: 1.1968 03/04 20:27:46 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 20:28:00 - mmengine - INFO - Epoch(train) [89][2600/5005] lr: 3.5112e-03 eta: 5:43:50 time: 0.3548 data_time: 0.0062 loss: 1.0915 03/04 20:28:36 - mmengine - INFO - Epoch(train) [89][2700/5005] lr: 3.5112e-03 eta: 5:43:14 time: 0.3695 data_time: 0.0057 loss: 1.1503 03/04 20:29:12 - mmengine - INFO - Epoch(train) [89][2800/5005] lr: 3.5112e-03 eta: 5:42:38 time: 0.3652 data_time: 0.0061 loss: 0.9702 03/04 20:29:48 - mmengine - INFO - Epoch(train) [89][2900/5005] lr: 3.5112e-03 eta: 5:42:02 time: 0.3501 data_time: 0.0054 loss: 1.2198 03/04 20:30:24 - mmengine - INFO - Epoch(train) [89][3000/5005] lr: 3.5112e-03 eta: 5:41:27 time: 0.3601 data_time: 0.0053 loss: 1.3197 03/04 20:30:59 - mmengine - INFO - Epoch(train) [89][3100/5005] lr: 3.5112e-03 eta: 5:40:51 time: 0.3500 data_time: 0.0061 loss: 1.2406 03/04 20:31:35 - mmengine - INFO - Epoch(train) [89][3200/5005] lr: 3.5112e-03 eta: 5:40:15 time: 0.3609 data_time: 0.0057 loss: 1.0827 03/04 20:32:11 - mmengine - INFO - Epoch(train) [89][3300/5005] lr: 3.5112e-03 eta: 5:39:39 time: 0.3510 data_time: 0.0055 loss: 1.3494 03/04 20:32:47 - mmengine - INFO - Epoch(train) [89][3400/5005] lr: 3.5112e-03 eta: 5:39:03 time: 0.3475 data_time: 0.0055 loss: 1.1873 03/04 20:33:22 - mmengine - INFO - Epoch(train) [89][3500/5005] lr: 3.5112e-03 eta: 5:38:27 time: 0.3758 data_time: 0.0053 loss: 1.1895 03/04 20:33:44 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 20:33:58 - mmengine - INFO - Epoch(train) [89][3600/5005] lr: 3.5112e-03 eta: 5:37:51 time: 0.3487 data_time: 0.0054 loss: 1.2855 03/04 20:34:34 - mmengine - INFO - Epoch(train) [89][3700/5005] lr: 3.5112e-03 eta: 5:37:15 time: 0.3481 data_time: 0.0057 loss: 1.2535 03/04 20:35:10 - mmengine - INFO - Epoch(train) [89][3800/5005] lr: 3.5112e-03 eta: 5:36:39 time: 0.3680 data_time: 0.0055 loss: 1.3093 03/04 20:35:45 - mmengine - INFO - Epoch(train) [89][3900/5005] lr: 3.5112e-03 eta: 5:36:03 time: 0.3666 data_time: 0.0057 loss: 1.1459 03/04 20:36:21 - mmengine - INFO - Epoch(train) [89][4000/5005] lr: 3.5112e-03 eta: 5:35:27 time: 0.3650 data_time: 0.0056 loss: 1.1271 03/04 20:36:57 - mmengine - INFO - Epoch(train) [89][4100/5005] lr: 3.5112e-03 eta: 5:34:51 time: 0.3547 data_time: 0.0054 loss: 1.2040 03/04 20:37:32 - mmengine - INFO - Epoch(train) [89][4200/5005] lr: 3.5112e-03 eta: 5:34:15 time: 0.3484 data_time: 0.0053 loss: 1.0088 03/04 20:38:08 - mmengine - INFO - Epoch(train) [89][4300/5005] lr: 3.5112e-03 eta: 5:33:39 time: 0.3754 data_time: 0.0058 loss: 1.0239 03/04 20:38:44 - mmengine - INFO - Epoch(train) [89][4400/5005] lr: 3.5112e-03 eta: 5:33:03 time: 0.3503 data_time: 0.0059 loss: 1.0677 03/04 20:39:20 - mmengine - INFO - Epoch(train) [89][4500/5005] lr: 3.5112e-03 eta: 5:32:27 time: 0.3571 data_time: 0.0057 loss: 1.1212 03/04 20:39:41 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 20:39:55 - mmengine - INFO - Epoch(train) [89][4600/5005] lr: 3.5112e-03 eta: 5:31:51 time: 0.3528 data_time: 0.0055 loss: 1.1906 03/04 20:40:31 - mmengine - INFO - Epoch(train) [89][4700/5005] lr: 3.5112e-03 eta: 5:31:15 time: 0.3468 data_time: 0.0056 loss: 1.2765 03/04 20:41:07 - mmengine - INFO - Epoch(train) [89][4800/5005] lr: 3.5112e-03 eta: 5:30:39 time: 0.3647 data_time: 0.0059 loss: 1.2135 03/04 20:41:43 - mmengine - INFO - Epoch(train) [89][4900/5005] lr: 3.5112e-03 eta: 5:30:04 time: 0.4456 data_time: 0.0061 loss: 1.2870 03/04 20:42:26 - mmengine - INFO - Epoch(train) [89][5000/5005] lr: 3.5112e-03 eta: 5:29:29 time: 0.4388 data_time: 0.0058 loss: 1.2196 03/04 20:42:28 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 20:42:31 - mmengine - INFO - Saving checkpoint at 89 epochs 03/04 20:42:49 - mmengine - INFO - Epoch(val) [89][100/196] eta: 0:00:15 time: 0.0456 data_time: 0.0003 03/04 20:43:05 - mmengine - INFO - Epoch(val) [89][196/196] accuracy/top1: 75.3860 accuracy/top5: 92.6900 03/04 20:43:50 - mmengine - INFO - Epoch(train) [90][ 100/5005] lr: 2.9560e-03 eta: 5:28:52 time: 0.3450 data_time: 0.0058 loss: 1.1559 03/04 20:44:27 - mmengine - INFO - Epoch(train) [90][ 200/5005] lr: 2.9560e-03 eta: 5:28:16 time: 0.3673 data_time: 0.0061 loss: 1.0517 03/04 20:45:02 - mmengine - INFO - Epoch(train) [90][ 300/5005] lr: 2.9560e-03 eta: 5:27:40 time: 0.3535 data_time: 0.0057 loss: 1.1894 03/04 20:45:39 - mmengine - INFO - Epoch(train) [90][ 400/5005] lr: 2.9560e-03 eta: 5:27:04 time: 0.3667 data_time: 0.0057 loss: 1.1609 03/04 20:46:14 - mmengine - INFO - Epoch(train) [90][ 500/5005] lr: 2.9560e-03 eta: 5:26:28 time: 0.3759 data_time: 0.0056 loss: 1.0341 03/04 20:46:34 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 20:46:50 - mmengine - INFO - Epoch(train) [90][ 600/5005] lr: 2.9560e-03 eta: 5:25:52 time: 0.3632 data_time: 0.0060 loss: 1.1072 03/04 20:47:26 - mmengine - INFO - Epoch(train) [90][ 700/5005] lr: 2.9560e-03 eta: 5:25:17 time: 0.3434 data_time: 0.0058 loss: 1.0652 03/04 20:48:02 - mmengine - INFO - Epoch(train) [90][ 800/5005] lr: 2.9560e-03 eta: 5:24:41 time: 0.3501 data_time: 0.0059 loss: 1.2665 03/04 20:48:37 - mmengine - INFO - Epoch(train) [90][ 900/5005] lr: 2.9560e-03 eta: 5:24:05 time: 0.3503 data_time: 0.0054 loss: 1.1164 03/04 20:49:13 - mmengine - INFO - Epoch(train) [90][1000/5005] lr: 2.9560e-03 eta: 5:23:29 time: 0.3564 data_time: 0.0054 loss: 1.1898 03/04 20:49:48 - mmengine - INFO - Epoch(train) [90][1100/5005] lr: 2.9560e-03 eta: 5:22:53 time: 0.3699 data_time: 0.0057 loss: 1.1842 03/04 20:50:24 - mmengine - INFO - Epoch(train) [90][1200/5005] lr: 2.9560e-03 eta: 5:22:17 time: 0.3660 data_time: 0.0057 loss: 1.1102 03/04 20:51:00 - mmengine - INFO - Epoch(train) [90][1300/5005] lr: 2.9560e-03 eta: 5:21:41 time: 0.3627 data_time: 0.0052 loss: 1.1746 03/04 20:51:36 - mmengine - INFO - Epoch(train) [90][1400/5005] lr: 2.9560e-03 eta: 5:21:05 time: 0.3496 data_time: 0.0058 loss: 1.0027 03/04 20:52:12 - mmengine - INFO - Epoch(train) [90][1500/5005] lr: 2.9560e-03 eta: 5:20:29 time: 0.3730 data_time: 0.0055 loss: 1.2911 03/04 20:52:31 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 20:52:48 - mmengine - INFO - Epoch(train) [90][1600/5005] lr: 2.9560e-03 eta: 5:19:53 time: 0.3551 data_time: 0.0055 loss: 1.3456 03/04 20:53:24 - mmengine - INFO - Epoch(train) [90][1700/5005] lr: 2.9560e-03 eta: 5:19:17 time: 0.3499 data_time: 0.0054 loss: 1.1474 03/04 20:53:59 - mmengine - INFO - Epoch(train) [90][1800/5005] lr: 2.9560e-03 eta: 5:18:41 time: 0.3496 data_time: 0.0055 loss: 1.1898 03/04 20:54:34 - mmengine - INFO - Epoch(train) [90][1900/5005] lr: 2.9560e-03 eta: 5:18:05 time: 0.3471 data_time: 0.0055 loss: 1.0293 03/04 20:55:11 - mmengine - INFO - Epoch(train) [90][2000/5005] lr: 2.9560e-03 eta: 5:17:29 time: 0.3769 data_time: 0.0059 loss: 1.0498 03/04 20:55:47 - mmengine - INFO - Epoch(train) [90][2100/5005] lr: 2.9560e-03 eta: 5:16:53 time: 0.3556 data_time: 0.0055 loss: 1.2079 03/04 20:56:22 - mmengine - INFO - Epoch(train) [90][2200/5005] lr: 2.9560e-03 eta: 5:16:17 time: 0.3527 data_time: 0.0056 loss: 1.0339 03/04 20:56:58 - mmengine - INFO - Epoch(train) [90][2300/5005] lr: 2.9560e-03 eta: 5:15:41 time: 0.3664 data_time: 0.0056 loss: 0.9998 03/04 20:57:33 - mmengine - INFO - Epoch(train) [90][2400/5005] lr: 2.9560e-03 eta: 5:15:05 time: 0.3461 data_time: 0.0054 loss: 1.1236 03/04 20:58:09 - mmengine - INFO - Epoch(train) [90][2500/5005] lr: 2.9560e-03 eta: 5:14:29 time: 0.3480 data_time: 0.0060 loss: 1.1795 03/04 20:58:28 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 20:58:44 - mmengine - INFO - Epoch(train) [90][2600/5005] lr: 2.9560e-03 eta: 5:13:53 time: 0.3514 data_time: 0.0054 loss: 1.1415 03/04 20:59:20 - mmengine - INFO - Epoch(train) [90][2700/5005] lr: 2.9560e-03 eta: 5:13:18 time: 0.3523 data_time: 0.0058 loss: 1.0393 03/04 20:59:56 - mmengine - INFO - Epoch(train) [90][2800/5005] lr: 2.9560e-03 eta: 5:12:42 time: 0.3673 data_time: 0.0055 loss: 1.1924 03/04 21:00:32 - mmengine - INFO - Epoch(train) [90][2900/5005] lr: 2.9560e-03 eta: 5:12:06 time: 0.3419 data_time: 0.0055 loss: 1.1400 03/04 21:01:07 - mmengine - INFO - Epoch(train) [90][3000/5005] lr: 2.9560e-03 eta: 5:11:30 time: 0.3412 data_time: 0.0059 loss: 1.2209 03/04 21:01:43 - mmengine - INFO - Epoch(train) [90][3100/5005] lr: 2.9560e-03 eta: 5:10:54 time: 0.3591 data_time: 0.0058 loss: 1.1139 03/04 21:02:18 - mmengine - INFO - Epoch(train) [90][3200/5005] lr: 2.9560e-03 eta: 5:10:18 time: 0.3622 data_time: 0.0057 loss: 1.1351 03/04 21:02:55 - mmengine - INFO - Epoch(train) [90][3300/5005] lr: 2.9560e-03 eta: 5:09:42 time: 0.3600 data_time: 0.0057 loss: 1.1494 03/04 21:03:30 - mmengine - INFO - Epoch(train) [90][3400/5005] lr: 2.9560e-03 eta: 5:09:06 time: 0.3504 data_time: 0.0056 loss: 1.1653 03/04 21:04:06 - mmengine - INFO - Epoch(train) [90][3500/5005] lr: 2.9560e-03 eta: 5:08:30 time: 0.3445 data_time: 0.0054 loss: 1.0874 03/04 21:04:25 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 21:04:42 - mmengine - INFO - Epoch(train) [90][3600/5005] lr: 2.9560e-03 eta: 5:07:54 time: 0.3680 data_time: 0.0057 loss: 1.1109 03/04 21:05:18 - mmengine - INFO - Epoch(train) [90][3700/5005] lr: 2.9560e-03 eta: 5:07:18 time: 0.3468 data_time: 0.0058 loss: 1.0258 03/04 21:05:53 - mmengine - INFO - Epoch(train) [90][3800/5005] lr: 2.9560e-03 eta: 5:06:42 time: 0.3503 data_time: 0.0056 loss: 1.0385 03/04 21:06:29 - mmengine - INFO - Epoch(train) [90][3900/5005] lr: 2.9560e-03 eta: 5:06:06 time: 0.3480 data_time: 0.0055 loss: 0.9776 03/04 21:07:04 - mmengine - INFO - Epoch(train) [90][4000/5005] lr: 2.9560e-03 eta: 5:05:30 time: 0.3809 data_time: 0.0055 loss: 1.2011 03/04 21:07:40 - mmengine - INFO - Epoch(train) [90][4100/5005] lr: 2.9560e-03 eta: 5:04:54 time: 0.3606 data_time: 0.0055 loss: 1.1186 03/04 21:08:16 - mmengine - INFO - Epoch(train) [90][4200/5005] lr: 2.9560e-03 eta: 5:04:18 time: 0.3540 data_time: 0.0057 loss: 1.2225 03/04 21:08:51 - mmengine - INFO - Epoch(train) [90][4300/5005] lr: 2.9560e-03 eta: 5:03:42 time: 0.3534 data_time: 0.0057 loss: 1.0564 03/04 21:09:27 - mmengine - INFO - Epoch(train) [90][4400/5005] lr: 2.9560e-03 eta: 5:03:06 time: 0.3478 data_time: 0.0055 loss: 1.1691 03/04 21:10:03 - mmengine - INFO - Epoch(train) [90][4500/5005] lr: 2.9560e-03 eta: 5:02:31 time: 0.3467 data_time: 0.0056 loss: 1.1696 03/04 21:10:23 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 21:10:39 - mmengine - INFO - Epoch(train) [90][4600/5005] lr: 2.9560e-03 eta: 5:01:55 time: 0.3684 data_time: 0.0057 loss: 1.1400 03/04 21:11:15 - mmengine - INFO - Epoch(train) [90][4700/5005] lr: 2.9560e-03 eta: 5:01:19 time: 0.3525 data_time: 0.0058 loss: 0.9541 03/04 21:11:51 - mmengine - INFO - Epoch(train) [90][4800/5005] lr: 2.9560e-03 eta: 5:00:43 time: 0.4007 data_time: 0.0055 loss: 1.3069 03/04 21:12:28 - mmengine - INFO - Epoch(train) [90][4900/5005] lr: 2.9560e-03 eta: 5:00:07 time: 0.4445 data_time: 0.0062 loss: 1.3054 03/04 21:13:11 - mmengine - INFO - Epoch(train) [90][5000/5005] lr: 2.9560e-03 eta: 4:59:32 time: 0.3814 data_time: 0.0061 loss: 1.1107 03/04 21:13:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 21:13:16 - mmengine - INFO - Saving checkpoint at 90 epochs 03/04 21:13:33 - mmengine - INFO - Epoch(val) [90][100/196] eta: 0:00:15 time: 0.0467 data_time: 0.0003 03/04 21:13:50 - mmengine - INFO - Epoch(val) [90][196/196] accuracy/top1: 75.6240 accuracy/top5: 92.7260 03/04 21:14:35 - mmengine - INFO - Epoch(train) [91][ 100/5005] lr: 2.4472e-03 eta: 4:58:55 time: 0.3595 data_time: 0.0054 loss: 1.2217 03/04 21:15:11 - mmengine - INFO - Epoch(train) [91][ 200/5005] lr: 2.4472e-03 eta: 4:58:19 time: 0.3509 data_time: 0.0053 loss: 1.1142 03/04 21:15:47 - mmengine - INFO - Epoch(train) [91][ 300/5005] lr: 2.4472e-03 eta: 4:57:43 time: 0.3597 data_time: 0.0060 loss: 0.9705 03/04 21:16:23 - mmengine - INFO - Epoch(train) [91][ 400/5005] lr: 2.4472e-03 eta: 4:57:07 time: 0.3798 data_time: 0.0057 loss: 1.2148 03/04 21:16:59 - mmengine - INFO - Epoch(train) [91][ 500/5005] lr: 2.4472e-03 eta: 4:56:32 time: 0.3650 data_time: 0.0061 loss: 0.9106 03/04 21:17:17 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 21:17:35 - mmengine - INFO - Epoch(train) [91][ 600/5005] lr: 2.4472e-03 eta: 4:55:56 time: 0.3419 data_time: 0.0056 loss: 1.1856 03/04 21:18:11 - mmengine - INFO - Epoch(train) [91][ 700/5005] lr: 2.4472e-03 eta: 4:55:20 time: 0.3536 data_time: 0.0062 loss: 1.0458 03/04 21:18:46 - mmengine - INFO - Epoch(train) [91][ 800/5005] lr: 2.4472e-03 eta: 4:54:44 time: 0.3636 data_time: 0.0055 loss: 1.1285 03/04 21:19:22 - mmengine - INFO - Epoch(train) [91][ 900/5005] lr: 2.4472e-03 eta: 4:54:08 time: 0.3513 data_time: 0.0054 loss: 0.9761 03/04 21:19:58 - mmengine - INFO - Epoch(train) [91][1000/5005] lr: 2.4472e-03 eta: 4:53:32 time: 0.3625 data_time: 0.0054 loss: 0.9935 03/04 21:20:34 - mmengine - INFO - Epoch(train) [91][1100/5005] lr: 2.4472e-03 eta: 4:52:56 time: 0.3467 data_time: 0.0057 loss: 1.0130 03/04 21:21:10 - mmengine - INFO - Epoch(train) [91][1200/5005] lr: 2.4472e-03 eta: 4:52:20 time: 0.3497 data_time: 0.0056 loss: 1.1807 03/04 21:21:46 - mmengine - INFO - Epoch(train) [91][1300/5005] lr: 2.4472e-03 eta: 4:51:44 time: 0.3597 data_time: 0.0057 loss: 1.1488 03/04 21:22:22 - mmengine - INFO - Epoch(train) [91][1400/5005] lr: 2.4472e-03 eta: 4:51:08 time: 0.3570 data_time: 0.0058 loss: 1.0598 03/04 21:22:58 - mmengine - INFO - Epoch(train) [91][1500/5005] lr: 2.4472e-03 eta: 4:50:32 time: 0.3684 data_time: 0.0056 loss: 0.9843 03/04 21:23:15 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 21:23:33 - mmengine - INFO - Epoch(train) [91][1600/5005] lr: 2.4472e-03 eta: 4:49:56 time: 0.3472 data_time: 0.0056 loss: 1.1163 03/04 21:24:09 - mmengine - INFO - Epoch(train) [91][1700/5005] lr: 2.4472e-03 eta: 4:49:20 time: 0.3461 data_time: 0.0056 loss: 1.0532 03/04 21:24:45 - mmengine - INFO - Epoch(train) [91][1800/5005] lr: 2.4472e-03 eta: 4:48:44 time: 0.3449 data_time: 0.0056 loss: 1.1925 03/04 21:25:21 - mmengine - INFO - Epoch(train) [91][1900/5005] lr: 2.4472e-03 eta: 4:48:08 time: 0.3450 data_time: 0.0058 loss: 1.2031 03/04 21:25:56 - mmengine - INFO - Epoch(train) [91][2000/5005] lr: 2.4472e-03 eta: 4:47:33 time: 0.3451 data_time: 0.0060 loss: 1.1022 03/04 21:26:32 - mmengine - INFO - Epoch(train) [91][2100/5005] lr: 2.4472e-03 eta: 4:46:57 time: 0.3485 data_time: 0.0057 loss: 1.1302 03/04 21:27:08 - mmengine - INFO - Epoch(train) [91][2200/5005] lr: 2.4472e-03 eta: 4:46:21 time: 0.3670 data_time: 0.0054 loss: 1.0152 03/04 21:27:44 - mmengine - INFO - Epoch(train) [91][2300/5005] lr: 2.4472e-03 eta: 4:45:45 time: 0.3646 data_time: 0.0056 loss: 1.1414 03/04 21:28:19 - mmengine - INFO - Epoch(train) [91][2400/5005] lr: 2.4472e-03 eta: 4:45:09 time: 0.3513 data_time: 0.0059 loss: 1.0546 03/04 21:28:55 - mmengine - INFO - Epoch(train) [91][2500/5005] lr: 2.4472e-03 eta: 4:44:33 time: 0.3512 data_time: 0.0056 loss: 1.0860 03/04 21:29:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 21:29:31 - mmengine - INFO - Epoch(train) [91][2600/5005] lr: 2.4472e-03 eta: 4:43:57 time: 0.3477 data_time: 0.0055 loss: 1.1803 03/04 21:30:06 - mmengine - INFO - Epoch(train) [91][2700/5005] lr: 2.4472e-03 eta: 4:43:21 time: 0.3483 data_time: 0.0061 loss: 0.9853 03/04 21:30:42 - mmengine - INFO - Epoch(train) [91][2800/5005] lr: 2.4472e-03 eta: 4:42:45 time: 0.3632 data_time: 0.0056 loss: 1.0439 03/04 21:31:18 - mmengine - INFO - Epoch(train) [91][2900/5005] lr: 2.4472e-03 eta: 4:42:09 time: 0.3542 data_time: 0.0054 loss: 1.0811 03/04 21:31:53 - mmengine - INFO - Epoch(train) [91][3000/5005] lr: 2.4472e-03 eta: 4:41:33 time: 0.3541 data_time: 0.0057 loss: 1.1036 03/04 21:32:29 - mmengine - INFO - Epoch(train) [91][3100/5005] lr: 2.4472e-03 eta: 4:40:57 time: 0.3577 data_time: 0.0057 loss: 0.9753 03/04 21:33:05 - mmengine - INFO - Epoch(train) [91][3200/5005] lr: 2.4472e-03 eta: 4:40:21 time: 0.3645 data_time: 0.0055 loss: 1.2279 03/04 21:33:40 - mmengine - INFO - Epoch(train) [91][3300/5005] lr: 2.4472e-03 eta: 4:39:45 time: 0.3466 data_time: 0.0055 loss: 1.1228 03/04 21:34:16 - mmengine - INFO - Epoch(train) [91][3400/5005] lr: 2.4472e-03 eta: 4:39:09 time: 0.3522 data_time: 0.0056 loss: 1.2020 03/04 21:34:52 - mmengine - INFO - Epoch(train) [91][3500/5005] lr: 2.4472e-03 eta: 4:38:33 time: 0.3548 data_time: 0.0055 loss: 0.9630 03/04 21:35:09 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 21:35:27 - mmengine - INFO - Epoch(train) [91][3600/5005] lr: 2.4472e-03 eta: 4:37:57 time: 0.3446 data_time: 0.0057 loss: 1.0204 03/04 21:36:03 - mmengine - INFO - Epoch(train) [91][3700/5005] lr: 2.4472e-03 eta: 4:37:21 time: 0.3523 data_time: 0.0056 loss: 1.1512 03/04 21:36:38 - mmengine - INFO - Epoch(train) [91][3800/5005] lr: 2.4472e-03 eta: 4:36:45 time: 0.3562 data_time: 0.0054 loss: 0.9351 03/04 21:37:14 - mmengine - INFO - Epoch(train) [91][3900/5005] lr: 2.4472e-03 eta: 4:36:09 time: 0.3494 data_time: 0.0055 loss: 1.0884 03/04 21:37:49 - mmengine - INFO - Epoch(train) [91][4000/5005] lr: 2.4472e-03 eta: 4:35:34 time: 0.3540 data_time: 0.0055 loss: 1.0598 03/04 21:38:25 - mmengine - INFO - Epoch(train) [91][4100/5005] lr: 2.4472e-03 eta: 4:34:58 time: 0.3523 data_time: 0.0056 loss: 1.0816 03/04 21:39:01 - mmengine - INFO - Epoch(train) [91][4200/5005] lr: 2.4472e-03 eta: 4:34:22 time: 0.3693 data_time: 0.0055 loss: 1.1294 03/04 21:39:37 - mmengine - INFO - Epoch(train) [91][4300/5005] lr: 2.4472e-03 eta: 4:33:46 time: 0.3499 data_time: 0.0063 loss: 1.3135 03/04 21:40:13 - mmengine - INFO - Epoch(train) [91][4400/5005] lr: 2.4472e-03 eta: 4:33:10 time: 0.3630 data_time: 0.0057 loss: 1.1583 03/04 21:40:49 - mmengine - INFO - Epoch(train) [91][4500/5005] lr: 2.4472e-03 eta: 4:32:34 time: 0.3650 data_time: 0.0053 loss: 1.0288 03/04 21:41:07 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 21:41:25 - mmengine - INFO - Epoch(train) [91][4600/5005] lr: 2.4472e-03 eta: 4:31:58 time: 0.3547 data_time: 0.0055 loss: 1.2256 03/04 21:42:01 - mmengine - INFO - Epoch(train) [91][4700/5005] lr: 2.4472e-03 eta: 4:31:22 time: 0.3714 data_time: 0.0057 loss: 1.1959 03/04 21:42:36 - mmengine - INFO - Epoch(train) [91][4800/5005] lr: 2.4472e-03 eta: 4:30:46 time: 0.3546 data_time: 0.0054 loss: 1.2060 03/04 21:43:13 - mmengine - INFO - Epoch(train) [91][4900/5005] lr: 2.4472e-03 eta: 4:30:10 time: 0.4149 data_time: 0.0064 loss: 1.1287 03/04 21:43:55 - mmengine - INFO - Epoch(train) [91][5000/5005] lr: 2.4472e-03 eta: 4:29:35 time: 0.4593 data_time: 0.0063 loss: 1.2409 03/04 21:43:58 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 21:44:01 - mmengine - INFO - Saving checkpoint at 91 epochs 03/04 21:44:19 - mmengine - INFO - Epoch(val) [91][100/196] eta: 0:00:15 time: 0.0444 data_time: 0.0003 03/04 21:44:35 - mmengine - INFO - Epoch(val) [91][196/196] accuracy/top1: 75.6960 accuracy/top5: 92.9020 03/04 21:45:20 - mmengine - INFO - Epoch(train) [92][ 100/5005] lr: 1.9853e-03 eta: 4:28:58 time: 0.3776 data_time: 0.0058 loss: 0.9951 03/04 21:45:56 - mmengine - INFO - Epoch(train) [92][ 200/5005] lr: 1.9853e-03 eta: 4:28:22 time: 0.3512 data_time: 0.0059 loss: 0.9779 03/04 21:46:31 - mmengine - INFO - Epoch(train) [92][ 300/5005] lr: 1.9853e-03 eta: 4:27:46 time: 0.3534 data_time: 0.0058 loss: 1.0883 03/04 21:47:07 - mmengine - INFO - Epoch(train) [92][ 400/5005] lr: 1.9853e-03 eta: 4:27:10 time: 0.3585 data_time: 0.0057 loss: 1.0350 03/04 21:47:43 - mmengine - INFO - Epoch(train) [92][ 500/5005] lr: 1.9853e-03 eta: 4:26:35 time: 0.3468 data_time: 0.0059 loss: 1.0661 03/04 21:47:59 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 21:48:20 - mmengine - INFO - Epoch(train) [92][ 600/5005] lr: 1.9853e-03 eta: 4:25:59 time: 0.3669 data_time: 0.0057 loss: 1.0423 03/04 21:48:55 - mmengine - INFO - Epoch(train) [92][ 700/5005] lr: 1.9853e-03 eta: 4:25:23 time: 0.3472 data_time: 0.0056 loss: 1.2353 03/04 21:49:31 - mmengine - INFO - Epoch(train) [92][ 800/5005] lr: 1.9853e-03 eta: 4:24:47 time: 0.3676 data_time: 0.0056 loss: 1.1332 03/04 21:50:07 - mmengine - INFO - Epoch(train) [92][ 900/5005] lr: 1.9853e-03 eta: 4:24:11 time: 0.3728 data_time: 0.0055 loss: 1.0147 03/04 21:50:42 - mmengine - INFO - Epoch(train) [92][1000/5005] lr: 1.9853e-03 eta: 4:23:35 time: 0.3477 data_time: 0.0055 loss: 1.0248 03/04 21:51:18 - mmengine - INFO - Epoch(train) [92][1100/5005] lr: 1.9853e-03 eta: 4:22:59 time: 0.3499 data_time: 0.0055 loss: 0.9352 03/04 21:51:53 - mmengine - INFO - Epoch(train) [92][1200/5005] lr: 1.9853e-03 eta: 4:22:23 time: 0.3434 data_time: 0.0055 loss: 1.0392 03/04 21:52:30 - mmengine - INFO - Epoch(train) [92][1300/5005] lr: 1.9853e-03 eta: 4:21:47 time: 0.3453 data_time: 0.0058 loss: 1.0192 03/04 21:53:05 - mmengine - INFO - Epoch(train) [92][1400/5005] lr: 1.9853e-03 eta: 4:21:11 time: 0.3455 data_time: 0.0058 loss: 1.2377 03/04 21:53:41 - mmengine - INFO - Epoch(train) [92][1500/5005] lr: 1.9853e-03 eta: 4:20:35 time: 0.3513 data_time: 0.0056 loss: 0.9958 03/04 21:53:57 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 21:54:17 - mmengine - INFO - Epoch(train) [92][1600/5005] lr: 1.9853e-03 eta: 4:19:59 time: 0.3544 data_time: 0.0056 loss: 1.2962 03/04 21:54:52 - mmengine - INFO - Epoch(train) [92][1700/5005] lr: 1.9853e-03 eta: 4:19:23 time: 0.3638 data_time: 0.0057 loss: 1.1783 03/04 21:55:28 - mmengine - INFO - Epoch(train) [92][1800/5005] lr: 1.9853e-03 eta: 4:18:47 time: 0.3451 data_time: 0.0056 loss: 0.9585 03/04 21:56:03 - mmengine - INFO - Epoch(train) [92][1900/5005] lr: 1.9853e-03 eta: 4:18:11 time: 0.3563 data_time: 0.0057 loss: 1.0215 03/04 21:56:39 - mmengine - INFO - Epoch(train) [92][2000/5005] lr: 1.9853e-03 eta: 4:17:35 time: 0.3468 data_time: 0.0057 loss: 0.9273 03/04 21:57:14 - mmengine - INFO - Epoch(train) [92][2100/5005] lr: 1.9853e-03 eta: 4:16:59 time: 0.3572 data_time: 0.0055 loss: 1.1425 03/04 21:57:50 - mmengine - INFO - Epoch(train) [92][2200/5005] lr: 1.9853e-03 eta: 4:16:23 time: 0.3639 data_time: 0.0055 loss: 1.1645 03/04 21:58:25 - mmengine - INFO - Epoch(train) [92][2300/5005] lr: 1.9853e-03 eta: 4:15:48 time: 0.3489 data_time: 0.0060 loss: 0.9835 03/04 21:59:01 - mmengine - INFO - Epoch(train) [92][2400/5005] lr: 1.9853e-03 eta: 4:15:12 time: 0.3665 data_time: 0.0056 loss: 1.0322 03/04 21:59:37 - mmengine - INFO - Epoch(train) [92][2500/5005] lr: 1.9853e-03 eta: 4:14:36 time: 0.3712 data_time: 0.0056 loss: 1.0620 03/04 21:59:53 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 22:00:13 - mmengine - INFO - Epoch(train) [92][2600/5005] lr: 1.9853e-03 eta: 4:14:00 time: 0.3557 data_time: 0.0057 loss: 0.8963 03/04 22:00:48 - mmengine - INFO - Epoch(train) [92][2700/5005] lr: 1.9853e-03 eta: 4:13:24 time: 0.3486 data_time: 0.0056 loss: 0.9821 03/04 22:01:24 - mmengine - INFO - Epoch(train) [92][2800/5005] lr: 1.9853e-03 eta: 4:12:48 time: 0.3530 data_time: 0.0054 loss: 1.0554 03/04 22:02:00 - mmengine - INFO - Epoch(train) [92][2900/5005] lr: 1.9853e-03 eta: 4:12:12 time: 0.3588 data_time: 0.0058 loss: 1.0685 03/04 22:02:36 - mmengine - INFO - Epoch(train) [92][3000/5005] lr: 1.9853e-03 eta: 4:11:36 time: 0.3464 data_time: 0.0056 loss: 0.9885 03/04 22:03:11 - mmengine - INFO - Epoch(train) [92][3100/5005] lr: 1.9853e-03 eta: 4:11:00 time: 0.3511 data_time: 0.0055 loss: 1.0446 03/04 22:03:47 - mmengine - INFO - Epoch(train) [92][3200/5005] lr: 1.9853e-03 eta: 4:10:24 time: 0.3657 data_time: 0.0055 loss: 0.9892 03/04 22:04:23 - mmengine - INFO - Epoch(train) [92][3300/5005] lr: 1.9853e-03 eta: 4:09:48 time: 0.3505 data_time: 0.0057 loss: 0.9818 03/04 22:04:58 - mmengine - INFO - Epoch(train) [92][3400/5005] lr: 1.9853e-03 eta: 4:09:12 time: 0.3484 data_time: 0.0060 loss: 1.1815 03/04 22:05:33 - mmengine - INFO - Epoch(train) [92][3500/5005] lr: 1.9853e-03 eta: 4:08:36 time: 0.3470 data_time: 0.0059 loss: 1.0687 03/04 22:05:50 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 22:06:09 - mmengine - INFO - Epoch(train) [92][3600/5005] lr: 1.9853e-03 eta: 4:08:00 time: 0.3534 data_time: 0.0055 loss: 1.1311 03/04 22:06:45 - mmengine - INFO - Epoch(train) [92][3700/5005] lr: 1.9853e-03 eta: 4:07:24 time: 0.3490 data_time: 0.0054 loss: 1.0792 03/04 22:07:20 - mmengine - INFO - Epoch(train) [92][3800/5005] lr: 1.9853e-03 eta: 4:06:48 time: 0.3516 data_time: 0.0058 loss: 0.9190 03/04 22:07:56 - mmengine - INFO - Epoch(train) [92][3900/5005] lr: 1.9853e-03 eta: 4:06:12 time: 0.3616 data_time: 0.0060 loss: 1.0792 03/04 22:08:31 - mmengine - INFO - Epoch(train) [92][4000/5005] lr: 1.9853e-03 eta: 4:05:36 time: 0.3608 data_time: 0.0055 loss: 1.1270 03/04 22:09:07 - mmengine - INFO - Epoch(train) [92][4100/5005] lr: 1.9853e-03 eta: 4:05:01 time: 0.3479 data_time: 0.0059 loss: 0.9304 03/04 22:09:43 - mmengine - INFO - Epoch(train) [92][4200/5005] lr: 1.9853e-03 eta: 4:04:25 time: 0.3533 data_time: 0.0058 loss: 1.0253 03/04 22:10:18 - mmengine - INFO - Epoch(train) [92][4300/5005] lr: 1.9853e-03 eta: 4:03:49 time: 0.3427 data_time: 0.0059 loss: 1.2477 03/04 22:10:54 - mmengine - INFO - Epoch(train) [92][4400/5005] lr: 1.9853e-03 eta: 4:03:13 time: 0.3577 data_time: 0.0056 loss: 0.9434 03/04 22:11:30 - mmengine - INFO - Epoch(train) [92][4500/5005] lr: 1.9853e-03 eta: 4:02:37 time: 0.3423 data_time: 0.0056 loss: 1.2626 03/04 22:11:46 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 22:12:06 - mmengine - INFO - Epoch(train) [92][4600/5005] lr: 1.9853e-03 eta: 4:02:01 time: 0.3566 data_time: 0.0058 loss: 1.0536 03/04 22:12:41 - mmengine - INFO - Epoch(train) [92][4700/5005] lr: 1.9853e-03 eta: 4:01:25 time: 0.3522 data_time: 0.0054 loss: 1.0267 03/04 22:13:17 - mmengine - INFO - Epoch(train) [92][4800/5005] lr: 1.9853e-03 eta: 4:00:49 time: 0.3554 data_time: 0.0060 loss: 0.8728 03/04 22:13:54 - mmengine - INFO - Epoch(train) [92][4900/5005] lr: 1.9853e-03 eta: 4:00:13 time: 0.4473 data_time: 0.0073 loss: 1.1270 03/04 22:14:38 - mmengine - INFO - Epoch(train) [92][5000/5005] lr: 1.9853e-03 eta: 3:59:38 time: 0.4420 data_time: 0.0062 loss: 1.2041 03/04 22:14:40 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 22:14:43 - mmengine - INFO - Saving checkpoint at 92 epochs 03/04 22:15:01 - mmengine - INFO - Epoch(val) [92][100/196] eta: 0:00:15 time: 0.0432 data_time: 0.0003 03/04 22:15:17 - mmengine - INFO - Epoch(val) [92][196/196] accuracy/top1: 76.1760 accuracy/top5: 93.0960 03/04 22:16:02 - mmengine - INFO - Epoch(train) [93][ 100/5005] lr: 1.5708e-03 eta: 3:59:01 time: 0.3461 data_time: 0.0056 loss: 1.0695 03/04 22:16:38 - mmengine - INFO - Epoch(train) [93][ 200/5005] lr: 1.5708e-03 eta: 3:58:25 time: 0.3493 data_time: 0.0061 loss: 0.9574 03/04 22:17:14 - mmengine - INFO - Epoch(train) [93][ 300/5005] lr: 1.5708e-03 eta: 3:57:49 time: 0.3566 data_time: 0.0058 loss: 0.9841 03/04 22:17:51 - mmengine - INFO - Epoch(train) [93][ 400/5005] lr: 1.5708e-03 eta: 3:57:13 time: 0.3666 data_time: 0.0063 loss: 1.0411 03/04 22:18:26 - mmengine - INFO - Epoch(train) [93][ 500/5005] lr: 1.5708e-03 eta: 3:56:37 time: 0.3784 data_time: 0.0057 loss: 1.0188 03/04 22:18:41 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 22:19:03 - mmengine - INFO - Epoch(train) [93][ 600/5005] lr: 1.5708e-03 eta: 3:56:02 time: 0.3549 data_time: 0.0057 loss: 1.0758 03/04 22:19:38 - mmengine - INFO - Epoch(train) [93][ 700/5005] lr: 1.5708e-03 eta: 3:55:26 time: 0.3440 data_time: 0.0055 loss: 1.1697 03/04 22:20:14 - mmengine - INFO - Epoch(train) [93][ 800/5005] lr: 1.5708e-03 eta: 3:54:50 time: 0.3537 data_time: 0.0056 loss: 0.9019 03/04 22:20:49 - mmengine - INFO - Epoch(train) [93][ 900/5005] lr: 1.5708e-03 eta: 3:54:14 time: 0.3474 data_time: 0.0057 loss: 0.9794 03/04 22:21:25 - mmengine - INFO - Epoch(train) [93][1000/5005] lr: 1.5708e-03 eta: 3:53:38 time: 0.3820 data_time: 0.0061 loss: 0.9711 03/04 22:22:01 - mmengine - INFO - Epoch(train) [93][1100/5005] lr: 1.5708e-03 eta: 3:53:02 time: 0.3417 data_time: 0.0059 loss: 1.2270 03/04 22:22:37 - mmengine - INFO - Epoch(train) [93][1200/5005] lr: 1.5708e-03 eta: 3:52:26 time: 0.3586 data_time: 0.0060 loss: 1.0729 03/04 22:23:12 - mmengine - INFO - Epoch(train) [93][1300/5005] lr: 1.5708e-03 eta: 3:51:50 time: 0.3789 data_time: 0.0058 loss: 0.9853 03/04 22:23:48 - mmengine - INFO - Epoch(train) [93][1400/5005] lr: 1.5708e-03 eta: 3:51:14 time: 0.3445 data_time: 0.0059 loss: 1.1192 03/04 22:24:24 - mmengine - INFO - Epoch(train) [93][1500/5005] lr: 1.5708e-03 eta: 3:50:38 time: 0.3550 data_time: 0.0053 loss: 1.0183 03/04 22:24:38 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 22:24:59 - mmengine - INFO - Epoch(train) [93][1600/5005] lr: 1.5708e-03 eta: 3:50:02 time: 0.3448 data_time: 0.0057 loss: 1.3482 03/04 22:25:35 - mmengine - INFO - Epoch(train) [93][1700/5005] lr: 1.5708e-03 eta: 3:49:26 time: 0.3542 data_time: 0.0057 loss: 0.9015 03/04 22:26:11 - mmengine - INFO - Epoch(train) [93][1800/5005] lr: 1.5708e-03 eta: 3:48:50 time: 0.3672 data_time: 0.0056 loss: 0.9705 03/04 22:26:47 - mmengine - INFO - Epoch(train) [93][1900/5005] lr: 1.5708e-03 eta: 3:48:14 time: 0.3641 data_time: 0.0058 loss: 1.0306 03/04 22:27:22 - mmengine - INFO - Epoch(train) [93][2000/5005] lr: 1.5708e-03 eta: 3:47:38 time: 0.3424 data_time: 0.0058 loss: 0.9151 03/04 22:27:58 - mmengine - INFO - Epoch(train) [93][2100/5005] lr: 1.5708e-03 eta: 3:47:02 time: 0.3723 data_time: 0.0054 loss: 0.9685 03/04 22:28:34 - mmengine - INFO - Epoch(train) [93][2200/5005] lr: 1.5708e-03 eta: 3:46:26 time: 0.3607 data_time: 0.0058 loss: 1.0223 03/04 22:29:10 - mmengine - INFO - Epoch(train) [93][2300/5005] lr: 1.5708e-03 eta: 3:45:51 time: 0.3757 data_time: 0.0058 loss: 1.1265 03/04 22:29:46 - mmengine - INFO - Epoch(train) [93][2400/5005] lr: 1.5708e-03 eta: 3:45:15 time: 0.3716 data_time: 0.0056 loss: 1.1528 03/04 22:30:22 - mmengine - INFO - Epoch(train) [93][2500/5005] lr: 1.5708e-03 eta: 3:44:39 time: 0.3580 data_time: 0.0064 loss: 1.0234 03/04 22:30:36 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 22:30:59 - mmengine - INFO - Epoch(train) [93][2600/5005] lr: 1.5708e-03 eta: 3:44:03 time: 0.3550 data_time: 0.0055 loss: 1.0442 03/04 22:31:34 - mmengine - INFO - Epoch(train) [93][2700/5005] lr: 1.5708e-03 eta: 3:43:27 time: 0.3504 data_time: 0.0057 loss: 1.1540 03/04 22:32:10 - mmengine - INFO - Epoch(train) [93][2800/5005] lr: 1.5708e-03 eta: 3:42:51 time: 0.3555 data_time: 0.0056 loss: 1.0947 03/04 22:32:46 - mmengine - INFO - Epoch(train) [93][2900/5005] lr: 1.5708e-03 eta: 3:42:15 time: 0.3657 data_time: 0.0056 loss: 0.9870 03/04 22:33:22 - mmengine - INFO - Epoch(train) [93][3000/5005] lr: 1.5708e-03 eta: 3:41:39 time: 0.3478 data_time: 0.0056 loss: 1.0234 03/04 22:33:58 - mmengine - INFO - Epoch(train) [93][3100/5005] lr: 1.5708e-03 eta: 3:41:03 time: 0.3704 data_time: 0.0056 loss: 1.0842 03/04 22:34:34 - mmengine - INFO - Epoch(train) [93][3200/5005] lr: 1.5708e-03 eta: 3:40:27 time: 0.3556 data_time: 0.0055 loss: 1.1818 03/04 22:35:10 - mmengine - INFO - Epoch(train) [93][3300/5005] lr: 1.5708e-03 eta: 3:39:51 time: 0.3619 data_time: 0.0057 loss: 1.1978 03/04 22:35:46 - mmengine - INFO - Epoch(train) [93][3400/5005] lr: 1.5708e-03 eta: 3:39:16 time: 0.3448 data_time: 0.0057 loss: 1.0906 03/04 22:36:21 - mmengine - INFO - Epoch(train) [93][3500/5005] lr: 1.5708e-03 eta: 3:38:40 time: 0.3512 data_time: 0.0057 loss: 0.9400 03/04 22:36:36 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 22:36:57 - mmengine - INFO - Epoch(train) [93][3600/5005] lr: 1.5708e-03 eta: 3:38:04 time: 0.3517 data_time: 0.0057 loss: 1.1480 03/04 22:37:33 - mmengine - INFO - Epoch(train) [93][3700/5005] lr: 1.5708e-03 eta: 3:37:28 time: 0.3545 data_time: 0.0057 loss: 1.0766 03/04 22:38:09 - mmengine - INFO - Epoch(train) [93][3800/5005] lr: 1.5708e-03 eta: 3:36:52 time: 0.3467 data_time: 0.0059 loss: 1.0581 03/04 22:38:45 - mmengine - INFO - Epoch(train) [93][3900/5005] lr: 1.5708e-03 eta: 3:36:16 time: 0.3444 data_time: 0.0058 loss: 1.1120 03/04 22:39:20 - mmengine - INFO - Epoch(train) [93][4000/5005] lr: 1.5708e-03 eta: 3:35:40 time: 0.3623 data_time: 0.0055 loss: 0.9812 03/04 22:39:56 - mmengine - INFO - Epoch(train) [93][4100/5005] lr: 1.5708e-03 eta: 3:35:04 time: 0.3428 data_time: 0.0059 loss: 1.0853 03/04 22:40:32 - mmengine - INFO - Epoch(train) [93][4200/5005] lr: 1.5708e-03 eta: 3:34:28 time: 0.3648 data_time: 0.0056 loss: 1.1021 03/04 22:41:08 - mmengine - INFO - Epoch(train) [93][4300/5005] lr: 1.5708e-03 eta: 3:33:52 time: 0.3539 data_time: 0.0056 loss: 0.9972 03/04 22:41:44 - mmengine - INFO - Epoch(train) [93][4400/5005] lr: 1.5708e-03 eta: 3:33:16 time: 0.3460 data_time: 0.0057 loss: 1.0280 03/04 22:42:19 - mmengine - INFO - Epoch(train) [93][4500/5005] lr: 1.5708e-03 eta: 3:32:40 time: 0.3566 data_time: 0.0058 loss: 0.9856 03/04 22:42:33 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 22:42:55 - mmengine - INFO - Epoch(train) [93][4600/5005] lr: 1.5708e-03 eta: 3:32:04 time: 0.3514 data_time: 0.0056 loss: 1.0809 03/04 22:43:31 - mmengine - INFO - Epoch(train) [93][4700/5005] lr: 1.5708e-03 eta: 3:31:28 time: 0.3614 data_time: 0.0055 loss: 1.1551 03/04 22:44:06 - mmengine - INFO - Epoch(train) [93][4800/5005] lr: 1.5708e-03 eta: 3:30:52 time: 0.3742 data_time: 0.0056 loss: 1.2078 03/04 22:44:43 - mmengine - INFO - Epoch(train) [93][4900/5005] lr: 1.5708e-03 eta: 3:30:17 time: 0.4533 data_time: 0.0061 loss: 0.9916 03/04 22:45:27 - mmengine - INFO - Epoch(train) [93][5000/5005] lr: 1.5708e-03 eta: 3:29:41 time: 0.4476 data_time: 0.0058 loss: 1.0562 03/04 22:45:29 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 22:45:32 - mmengine - INFO - Saving checkpoint at 93 epochs 03/04 22:45:50 - mmengine - INFO - Epoch(val) [93][100/196] eta: 0:00:15 time: 0.0511 data_time: 0.0003 03/04 22:46:06 - mmengine - INFO - Epoch(val) [93][196/196] accuracy/top1: 76.2340 accuracy/top5: 93.0780 03/04 22:46:51 - mmengine - INFO - Epoch(train) [94][ 100/5005] lr: 1.2042e-03 eta: 3:29:04 time: 0.3779 data_time: 0.0056 loss: 1.0980 03/04 22:47:27 - mmengine - INFO - Epoch(train) [94][ 200/5005] lr: 1.2042e-03 eta: 3:28:28 time: 0.3510 data_time: 0.0061 loss: 1.0770 03/04 22:48:04 - mmengine - INFO - Epoch(train) [94][ 300/5005] lr: 1.2042e-03 eta: 3:27:53 time: 0.3608 data_time: 0.0056 loss: 0.9679 03/04 22:48:40 - mmengine - INFO - Epoch(train) [94][ 400/5005] lr: 1.2042e-03 eta: 3:27:17 time: 0.3539 data_time: 0.0056 loss: 1.1705 03/04 22:49:16 - mmengine - INFO - Epoch(train) [94][ 500/5005] lr: 1.2042e-03 eta: 3:26:41 time: 0.3467 data_time: 0.0058 loss: 1.0130 03/04 22:49:28 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 22:49:52 - mmengine - INFO - Epoch(train) [94][ 600/5005] lr: 1.2042e-03 eta: 3:26:05 time: 0.3565 data_time: 0.0058 loss: 1.1754 03/04 22:50:28 - mmengine - INFO - Epoch(train) [94][ 700/5005] lr: 1.2042e-03 eta: 3:25:29 time: 0.3447 data_time: 0.0057 loss: 0.9577 03/04 22:51:04 - mmengine - INFO - Epoch(train) [94][ 800/5005] lr: 1.2042e-03 eta: 3:24:53 time: 0.3449 data_time: 0.0058 loss: 1.0992 03/04 22:51:40 - mmengine - INFO - Epoch(train) [94][ 900/5005] lr: 1.2042e-03 eta: 3:24:17 time: 0.3762 data_time: 0.0058 loss: 0.9198 03/04 22:52:16 - mmengine - INFO - Epoch(train) [94][1000/5005] lr: 1.2042e-03 eta: 3:23:41 time: 0.3640 data_time: 0.0058 loss: 1.0663 03/04 22:52:51 - mmengine - INFO - Epoch(train) [94][1100/5005] lr: 1.2042e-03 eta: 3:23:05 time: 0.3436 data_time: 0.0057 loss: 1.0798 03/04 22:53:27 - mmengine - INFO - Epoch(train) [94][1200/5005] lr: 1.2042e-03 eta: 3:22:29 time: 0.3491 data_time: 0.0059 loss: 1.2002 03/04 22:54:03 - mmengine - INFO - Epoch(train) [94][1300/5005] lr: 1.2042e-03 eta: 3:21:53 time: 0.3553 data_time: 0.0055 loss: 1.1863 03/04 22:54:39 - mmengine - INFO - Epoch(train) [94][1400/5005] lr: 1.2042e-03 eta: 3:21:17 time: 0.3696 data_time: 0.0057 loss: 1.0917 03/04 22:55:14 - mmengine - INFO - Epoch(train) [94][1500/5005] lr: 1.2042e-03 eta: 3:20:41 time: 0.3482 data_time: 0.0056 loss: 0.9721 03/04 22:55:27 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 22:55:50 - mmengine - INFO - Epoch(train) [94][1600/5005] lr: 1.2042e-03 eta: 3:20:06 time: 0.3620 data_time: 0.0057 loss: 1.0897 03/04 22:56:26 - mmengine - INFO - Epoch(train) [94][1700/5005] lr: 1.2042e-03 eta: 3:19:30 time: 0.3489 data_time: 0.0057 loss: 1.0199 03/04 22:57:01 - mmengine - INFO - Epoch(train) [94][1800/5005] lr: 1.2042e-03 eta: 3:18:54 time: 0.3477 data_time: 0.0055 loss: 0.9140 03/04 22:57:37 - mmengine - INFO - Epoch(train) [94][1900/5005] lr: 1.2042e-03 eta: 3:18:18 time: 0.3519 data_time: 0.0058 loss: 1.0006 03/04 22:58:13 - mmengine - INFO - Epoch(train) [94][2000/5005] lr: 1.2042e-03 eta: 3:17:42 time: 0.3579 data_time: 0.0056 loss: 1.0883 03/04 22:58:49 - mmengine - INFO - Epoch(train) [94][2100/5005] lr: 1.2042e-03 eta: 3:17:06 time: 0.3515 data_time: 0.0055 loss: 1.1406 03/04 22:59:25 - mmengine - INFO - Epoch(train) [94][2200/5005] lr: 1.2042e-03 eta: 3:16:30 time: 0.3629 data_time: 0.0056 loss: 0.9764 03/04 23:00:00 - mmengine - INFO - Epoch(train) [94][2300/5005] lr: 1.2042e-03 eta: 3:15:54 time: 0.3682 data_time: 0.0055 loss: 0.9984 03/04 23:00:36 - mmengine - INFO - Epoch(train) [94][2400/5005] lr: 1.2042e-03 eta: 3:15:18 time: 0.3694 data_time: 0.0057 loss: 1.0192 03/04 23:01:12 - mmengine - INFO - Epoch(train) [94][2500/5005] lr: 1.2042e-03 eta: 3:14:42 time: 0.3600 data_time: 0.0061 loss: 1.1084 03/04 23:01:24 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 23:01:47 - mmengine - INFO - Epoch(train) [94][2600/5005] lr: 1.2042e-03 eta: 3:14:06 time: 0.3440 data_time: 0.0058 loss: 1.0374 03/04 23:02:24 - mmengine - INFO - Epoch(train) [94][2700/5005] lr: 1.2042e-03 eta: 3:13:30 time: 0.3535 data_time: 0.0059 loss: 1.1055 03/04 23:02:59 - mmengine - INFO - Epoch(train) [94][2800/5005] lr: 1.2042e-03 eta: 3:12:54 time: 0.3588 data_time: 0.0058 loss: 0.9152 03/04 23:03:35 - mmengine - INFO - Epoch(train) [94][2900/5005] lr: 1.2042e-03 eta: 3:12:18 time: 0.3636 data_time: 0.0056 loss: 1.1943 03/04 23:04:10 - mmengine - INFO - Epoch(train) [94][3000/5005] lr: 1.2042e-03 eta: 3:11:42 time: 0.3534 data_time: 0.0056 loss: 1.1765 03/04 23:04:46 - mmengine - INFO - Epoch(train) [94][3100/5005] lr: 1.2042e-03 eta: 3:11:07 time: 0.3451 data_time: 0.0059 loss: 1.0286 03/04 23:05:22 - mmengine - INFO - Epoch(train) [94][3200/5005] lr: 1.2042e-03 eta: 3:10:31 time: 0.3664 data_time: 0.0057 loss: 0.8081 03/04 23:05:58 - mmengine - INFO - Epoch(train) [94][3300/5005] lr: 1.2042e-03 eta: 3:09:55 time: 0.3452 data_time: 0.0056 loss: 1.0565 03/04 23:06:33 - mmengine - INFO - Epoch(train) [94][3400/5005] lr: 1.2042e-03 eta: 3:09:19 time: 0.3526 data_time: 0.0058 loss: 0.9599 03/04 23:07:09 - mmengine - INFO - Epoch(train) [94][3500/5005] lr: 1.2042e-03 eta: 3:08:43 time: 0.3472 data_time: 0.0065 loss: 1.1148 03/04 23:07:21 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 23:07:45 - mmengine - INFO - Epoch(train) [94][3600/5005] lr: 1.2042e-03 eta: 3:08:07 time: 0.3849 data_time: 0.0054 loss: 1.0326 03/04 23:08:20 - mmengine - INFO - Epoch(train) [94][3700/5005] lr: 1.2042e-03 eta: 3:07:31 time: 0.3547 data_time: 0.0057 loss: 1.0759 03/04 23:08:56 - mmengine - INFO - Epoch(train) [94][3800/5005] lr: 1.2042e-03 eta: 3:06:55 time: 0.3709 data_time: 0.0057 loss: 1.1777 03/04 23:09:32 - mmengine - INFO - Epoch(train) [94][3900/5005] lr: 1.2042e-03 eta: 3:06:19 time: 0.3564 data_time: 0.0059 loss: 0.9468 03/04 23:10:07 - mmengine - INFO - Epoch(train) [94][4000/5005] lr: 1.2042e-03 eta: 3:05:43 time: 0.3589 data_time: 0.0056 loss: 0.8321 03/04 23:10:43 - mmengine - INFO - Epoch(train) [94][4100/5005] lr: 1.2042e-03 eta: 3:05:07 time: 0.3494 data_time: 0.0060 loss: 1.0231 03/04 23:11:19 - mmengine - INFO - Epoch(train) [94][4200/5005] lr: 1.2042e-03 eta: 3:04:31 time: 0.3538 data_time: 0.0056 loss: 1.0573 03/04 23:11:54 - mmengine - INFO - Epoch(train) [94][4300/5005] lr: 1.2042e-03 eta: 3:03:55 time: 0.3518 data_time: 0.0057 loss: 0.9968 03/04 23:12:30 - mmengine - INFO - Epoch(train) [94][4400/5005] lr: 1.2042e-03 eta: 3:03:19 time: 0.3635 data_time: 0.0060 loss: 1.1242 03/04 23:13:06 - mmengine - INFO - Epoch(train) [94][4500/5005] lr: 1.2042e-03 eta: 3:02:44 time: 0.3586 data_time: 0.0058 loss: 0.9474 03/04 23:13:19 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 23:13:42 - mmengine - INFO - Epoch(train) [94][4600/5005] lr: 1.2042e-03 eta: 3:02:08 time: 0.3580 data_time: 0.0057 loss: 1.1568 03/04 23:14:17 - mmengine - INFO - Epoch(train) [94][4700/5005] lr: 1.2042e-03 eta: 3:01:32 time: 0.3537 data_time: 0.0057 loss: 0.8868 03/04 23:14:53 - mmengine - INFO - Epoch(train) [94][4800/5005] lr: 1.2042e-03 eta: 3:00:56 time: 0.3435 data_time: 0.0055 loss: 0.8109 03/04 23:15:30 - mmengine - INFO - Epoch(train) [94][4900/5005] lr: 1.2042e-03 eta: 3:00:20 time: 0.4163 data_time: 0.0060 loss: 1.0264 03/04 23:16:14 - mmengine - INFO - Epoch(train) [94][5000/5005] lr: 1.2042e-03 eta: 2:59:44 time: 0.4219 data_time: 0.0064 loss: 1.2298 03/04 23:16:16 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 23:16:20 - mmengine - INFO - Saving checkpoint at 94 epochs 03/04 23:16:37 - mmengine - INFO - Epoch(val) [94][100/196] eta: 0:00:14 time: 0.0391 data_time: 0.0002 03/04 23:16:53 - mmengine - INFO - Epoch(val) [94][196/196] accuracy/top1: 76.3800 accuracy/top5: 93.2360 03/04 23:17:39 - mmengine - INFO - Epoch(train) [95][ 100/5005] lr: 8.8564e-04 eta: 2:59:07 time: 0.3798 data_time: 0.0058 loss: 1.1836 03/04 23:18:15 - mmengine - INFO - Epoch(train) [95][ 200/5005] lr: 8.8564e-04 eta: 2:58:32 time: 0.3664 data_time: 0.0056 loss: 1.0831 03/04 23:18:51 - mmengine - INFO - Epoch(train) [95][ 300/5005] lr: 8.8564e-04 eta: 2:57:56 time: 0.3534 data_time: 0.0059 loss: 1.2069 03/04 23:19:27 - mmengine - INFO - Epoch(train) [95][ 400/5005] lr: 8.8564e-04 eta: 2:57:20 time: 0.3644 data_time: 0.0059 loss: 0.8421 03/04 23:20:03 - mmengine - INFO - Epoch(train) [95][ 500/5005] lr: 8.8564e-04 eta: 2:56:44 time: 0.3532 data_time: 0.0055 loss: 1.0918 03/04 23:20:15 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 23:20:40 - mmengine - INFO - Epoch(train) [95][ 600/5005] lr: 8.8564e-04 eta: 2:56:08 time: 0.3754 data_time: 0.0055 loss: 1.0413 03/04 23:21:16 - mmengine - INFO - Epoch(train) [95][ 700/5005] lr: 8.8564e-04 eta: 2:55:32 time: 0.3516 data_time: 0.0060 loss: 1.2089 03/04 23:21:52 - mmengine - INFO - Epoch(train) [95][ 800/5005] lr: 8.8564e-04 eta: 2:54:56 time: 0.3460 data_time: 0.0056 loss: 1.0504 03/04 23:22:28 - mmengine - INFO - Epoch(train) [95][ 900/5005] lr: 8.8564e-04 eta: 2:54:20 time: 0.3575 data_time: 0.0057 loss: 0.9918 03/04 23:23:03 - mmengine - INFO - Epoch(train) [95][1000/5005] lr: 8.8564e-04 eta: 2:53:44 time: 0.3543 data_time: 0.0063 loss: 1.0106 03/04 23:23:39 - mmengine - INFO - Epoch(train) [95][1100/5005] lr: 8.8564e-04 eta: 2:53:08 time: 0.3442 data_time: 0.0058 loss: 1.2144 03/04 23:24:15 - mmengine - INFO - Epoch(train) [95][1200/5005] lr: 8.8564e-04 eta: 2:52:32 time: 0.3452 data_time: 0.0058 loss: 1.0727 03/04 23:24:50 - mmengine - INFO - Epoch(train) [95][1300/5005] lr: 8.8564e-04 eta: 2:51:56 time: 0.3570 data_time: 0.0058 loss: 0.9922 03/04 23:25:26 - mmengine - INFO - Epoch(train) [95][1400/5005] lr: 8.8564e-04 eta: 2:51:20 time: 0.3461 data_time: 0.0057 loss: 0.9959 03/04 23:26:02 - mmengine - INFO - Epoch(train) [95][1500/5005] lr: 8.8564e-04 eta: 2:50:45 time: 0.3641 data_time: 0.0059 loss: 1.0580 03/04 23:26:13 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 23:26:38 - mmengine - INFO - Epoch(train) [95][1600/5005] lr: 8.8564e-04 eta: 2:50:09 time: 0.3581 data_time: 0.0054 loss: 0.9598 03/04 23:27:14 - mmengine - INFO - Epoch(train) [95][1700/5005] lr: 8.8564e-04 eta: 2:49:33 time: 0.3516 data_time: 0.0057 loss: 0.9397 03/04 23:27:50 - mmengine - INFO - Epoch(train) [95][1800/5005] lr: 8.8564e-04 eta: 2:48:57 time: 0.3818 data_time: 0.0056 loss: 0.8973 03/04 23:28:26 - mmengine - INFO - Epoch(train) [95][1900/5005] lr: 8.8564e-04 eta: 2:48:21 time: 0.3421 data_time: 0.0059 loss: 1.0888 03/04 23:29:01 - mmengine - INFO - Epoch(train) [95][2000/5005] lr: 8.8564e-04 eta: 2:47:45 time: 0.3472 data_time: 0.0060 loss: 0.9336 03/04 23:29:37 - mmengine - INFO - Epoch(train) [95][2100/5005] lr: 8.8564e-04 eta: 2:47:09 time: 0.3692 data_time: 0.0059 loss: 1.1930 03/04 23:30:13 - mmengine - INFO - Epoch(train) [95][2200/5005] lr: 8.8564e-04 eta: 2:46:33 time: 0.3480 data_time: 0.0057 loss: 1.0234 03/04 23:30:49 - mmengine - INFO - Epoch(train) [95][2300/5005] lr: 8.8564e-04 eta: 2:45:57 time: 0.3514 data_time: 0.0057 loss: 1.1059 03/04 23:31:25 - mmengine - INFO - Epoch(train) [95][2400/5005] lr: 8.8564e-04 eta: 2:45:21 time: 0.3510 data_time: 0.0061 loss: 1.0362 03/04 23:32:01 - mmengine - INFO - Epoch(train) [95][2500/5005] lr: 8.8564e-04 eta: 2:44:45 time: 0.3415 data_time: 0.0056 loss: 0.9583 03/04 23:32:11 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 23:32:36 - mmengine - INFO - Epoch(train) [95][2600/5005] lr: 8.8564e-04 eta: 2:44:09 time: 0.3457 data_time: 0.0059 loss: 0.8299 03/04 23:33:12 - mmengine - INFO - Epoch(train) [95][2700/5005] lr: 8.8564e-04 eta: 2:43:33 time: 0.3592 data_time: 0.0059 loss: 0.9499 03/04 23:33:47 - mmengine - INFO - Epoch(train) [95][2800/5005] lr: 8.8564e-04 eta: 2:42:58 time: 0.3610 data_time: 0.0057 loss: 0.8957 03/04 23:34:23 - mmengine - INFO - Epoch(train) [95][2900/5005] lr: 8.8564e-04 eta: 2:42:22 time: 0.3543 data_time: 0.0056 loss: 1.1683 03/04 23:34:59 - mmengine - INFO - Epoch(train) [95][3000/5005] lr: 8.8564e-04 eta: 2:41:46 time: 0.3527 data_time: 0.0059 loss: 1.0536 03/04 23:35:35 - mmengine - INFO - Epoch(train) [95][3100/5005] lr: 8.8564e-04 eta: 2:41:10 time: 0.3568 data_time: 0.0057 loss: 1.0076 03/04 23:36:10 - mmengine - INFO - Epoch(train) [95][3200/5005] lr: 8.8564e-04 eta: 2:40:34 time: 0.3565 data_time: 0.0056 loss: 0.9113 03/04 23:36:46 - mmengine - INFO - Epoch(train) [95][3300/5005] lr: 8.8564e-04 eta: 2:39:58 time: 0.3606 data_time: 0.0055 loss: 1.1737 03/04 23:37:21 - mmengine - INFO - Epoch(train) [95][3400/5005] lr: 8.8564e-04 eta: 2:39:22 time: 0.3448 data_time: 0.0063 loss: 1.0901 03/04 23:37:57 - mmengine - INFO - Epoch(train) [95][3500/5005] lr: 8.8564e-04 eta: 2:38:46 time: 0.3730 data_time: 0.0056 loss: 1.1176 03/04 23:38:08 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 23:38:33 - mmengine - INFO - Epoch(train) [95][3600/5005] lr: 8.8564e-04 eta: 2:38:10 time: 0.3648 data_time: 0.0058 loss: 0.9887 03/04 23:39:09 - mmengine - INFO - Epoch(train) [95][3700/5005] lr: 8.8564e-04 eta: 2:37:34 time: 0.3782 data_time: 0.0059 loss: 0.9982 03/04 23:39:44 - mmengine - INFO - Epoch(train) [95][3800/5005] lr: 8.8564e-04 eta: 2:36:58 time: 0.3446 data_time: 0.0058 loss: 1.1056 03/04 23:40:20 - mmengine - INFO - Epoch(train) [95][3900/5005] lr: 8.8564e-04 eta: 2:36:22 time: 0.3459 data_time: 0.0057 loss: 1.0773 03/04 23:40:56 - mmengine - INFO - Epoch(train) [95][4000/5005] lr: 8.8564e-04 eta: 2:35:46 time: 0.3509 data_time: 0.0056 loss: 1.1541 03/04 23:41:32 - mmengine - INFO - Epoch(train) [95][4100/5005] lr: 8.8564e-04 eta: 2:35:10 time: 0.3455 data_time: 0.0056 loss: 1.0581 03/04 23:42:07 - mmengine - INFO - Epoch(train) [95][4200/5005] lr: 8.8564e-04 eta: 2:34:34 time: 0.3459 data_time: 0.0059 loss: 0.8774 03/04 23:42:42 - mmengine - INFO - Epoch(train) [95][4300/5005] lr: 8.8564e-04 eta: 2:33:59 time: 0.3594 data_time: 0.0057 loss: 0.9787 03/04 23:43:18 - mmengine - INFO - Epoch(train) [95][4400/5005] lr: 8.8564e-04 eta: 2:33:23 time: 0.3553 data_time: 0.0060 loss: 0.9827 03/04 23:43:54 - mmengine - INFO - Epoch(train) [95][4500/5005] lr: 8.8564e-04 eta: 2:32:47 time: 0.3833 data_time: 0.0059 loss: 1.0554 03/04 23:44:04 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 23:44:29 - mmengine - INFO - Epoch(train) [95][4600/5005] lr: 8.8564e-04 eta: 2:32:11 time: 0.3420 data_time: 0.0058 loss: 1.0435 03/04 23:45:05 - mmengine - INFO - Epoch(train) [95][4700/5005] lr: 8.8564e-04 eta: 2:31:35 time: 0.3436 data_time: 0.0055 loss: 0.9208 03/04 23:45:41 - mmengine - INFO - Epoch(train) [95][4800/5005] lr: 8.8564e-04 eta: 2:30:59 time: 0.3486 data_time: 0.0056 loss: 0.9136 03/04 23:46:19 - mmengine - INFO - Epoch(train) [95][4900/5005] lr: 8.8564e-04 eta: 2:30:23 time: 0.4613 data_time: 0.0064 loss: 1.1987 03/04 23:47:01 - mmengine - INFO - Epoch(train) [95][5000/5005] lr: 8.8564e-04 eta: 2:29:48 time: 0.4389 data_time: 0.0066 loss: 1.0024 03/04 23:47:04 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 23:47:07 - mmengine - INFO - Saving checkpoint at 95 epochs 03/04 23:47:24 - mmengine - INFO - Epoch(val) [95][100/196] eta: 0:00:15 time: 0.0431 data_time: 0.0003 03/04 23:47:41 - mmengine - INFO - Epoch(val) [95][196/196] accuracy/top1: 76.6840 accuracy/top5: 93.3920 03/04 23:48:26 - mmengine - INFO - Epoch(train) [96][ 100/5005] lr: 6.1558e-04 eta: 2:29:10 time: 0.3510 data_time: 0.0059 loss: 0.8643 03/04 23:49:03 - mmengine - INFO - Epoch(train) [96][ 200/5005] lr: 6.1558e-04 eta: 2:28:34 time: 0.3522 data_time: 0.0061 loss: 1.1350 03/04 23:49:39 - mmengine - INFO - Epoch(train) [96][ 300/5005] lr: 6.1558e-04 eta: 2:27:59 time: 0.3668 data_time: 0.0058 loss: 0.8172 03/04 23:50:15 - mmengine - INFO - Epoch(train) [96][ 400/5005] lr: 6.1558e-04 eta: 2:27:23 time: 0.3498 data_time: 0.0057 loss: 1.0390 03/04 23:50:51 - mmengine - INFO - Epoch(train) [96][ 500/5005] lr: 6.1558e-04 eta: 2:26:47 time: 0.3600 data_time: 0.0057 loss: 0.9332 03/04 23:51:00 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 23:51:27 - mmengine - INFO - Epoch(train) [96][ 600/5005] lr: 6.1558e-04 eta: 2:26:11 time: 0.3617 data_time: 0.0058 loss: 1.0167 03/04 23:52:03 - mmengine - INFO - Epoch(train) [96][ 700/5005] lr: 6.1558e-04 eta: 2:25:35 time: 0.3881 data_time: 0.0062 loss: 0.9439 03/04 23:52:39 - mmengine - INFO - Epoch(train) [96][ 800/5005] lr: 6.1558e-04 eta: 2:24:59 time: 0.3473 data_time: 0.0056 loss: 1.0585 03/04 23:53:14 - mmengine - INFO - Epoch(train) [96][ 900/5005] lr: 6.1558e-04 eta: 2:24:23 time: 0.3431 data_time: 0.0059 loss: 0.9644 03/04 23:53:50 - mmengine - INFO - Epoch(train) [96][1000/5005] lr: 6.1558e-04 eta: 2:23:47 time: 0.3545 data_time: 0.0062 loss: 0.9680 03/04 23:54:26 - mmengine - INFO - Epoch(train) [96][1100/5005] lr: 6.1558e-04 eta: 2:23:11 time: 0.3706 data_time: 0.0061 loss: 0.9659 03/04 23:55:02 - mmengine - INFO - Epoch(train) [96][1200/5005] lr: 6.1558e-04 eta: 2:22:35 time: 0.3483 data_time: 0.0056 loss: 0.9762 03/04 23:55:38 - mmengine - INFO - Epoch(train) [96][1300/5005] lr: 6.1558e-04 eta: 2:21:59 time: 0.3506 data_time: 0.0056 loss: 0.9939 03/04 23:56:14 - mmengine - INFO - Epoch(train) [96][1400/5005] lr: 6.1558e-04 eta: 2:21:23 time: 0.3629 data_time: 0.0059 loss: 0.9983 03/04 23:56:49 - mmengine - INFO - Epoch(train) [96][1500/5005] lr: 6.1558e-04 eta: 2:20:47 time: 0.3567 data_time: 0.0057 loss: 1.0928 03/04 23:56:58 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/04 23:57:25 - mmengine - INFO - Epoch(train) [96][1600/5005] lr: 6.1558e-04 eta: 2:20:12 time: 0.3612 data_time: 0.0059 loss: 0.8918 03/04 23:58:01 - mmengine - INFO - Epoch(train) [96][1700/5005] lr: 6.1558e-04 eta: 2:19:36 time: 0.3456 data_time: 0.0057 loss: 1.0018 03/04 23:58:36 - mmengine - INFO - Epoch(train) [96][1800/5005] lr: 6.1558e-04 eta: 2:19:00 time: 0.3556 data_time: 0.0059 loss: 0.9431 03/04 23:59:12 - mmengine - INFO - Epoch(train) [96][1900/5005] lr: 6.1558e-04 eta: 2:18:24 time: 0.3677 data_time: 0.0058 loss: 0.9215 03/04 23:59:48 - mmengine - INFO - Epoch(train) [96][2000/5005] lr: 6.1558e-04 eta: 2:17:48 time: 0.3844 data_time: 0.0057 loss: 0.9554 03/05 00:00:24 - mmengine - INFO - Epoch(train) [96][2100/5005] lr: 6.1558e-04 eta: 2:17:12 time: 0.3504 data_time: 0.0059 loss: 1.0171 03/05 00:01:01 - mmengine - INFO - Epoch(train) [96][2200/5005] lr: 6.1558e-04 eta: 2:16:36 time: 0.3566 data_time: 0.0057 loss: 0.8662 03/05 00:01:36 - mmengine - INFO - Epoch(train) [96][2300/5005] lr: 6.1558e-04 eta: 2:16:00 time: 0.3588 data_time: 0.0057 loss: 1.0742 03/05 00:02:12 - mmengine - INFO - Epoch(train) [96][2400/5005] lr: 6.1558e-04 eta: 2:15:24 time: 0.3544 data_time: 0.0056 loss: 0.9098 03/05 00:02:48 - mmengine - INFO - Epoch(train) [96][2500/5005] lr: 6.1558e-04 eta: 2:14:48 time: 0.3716 data_time: 0.0059 loss: 0.9949 03/05 00:02:56 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 00:03:23 - mmengine - INFO - Epoch(train) [96][2600/5005] lr: 6.1558e-04 eta: 2:14:12 time: 0.3784 data_time: 0.0056 loss: 0.9481 03/05 00:03:59 - mmengine - INFO - Epoch(train) [96][2700/5005] lr: 6.1558e-04 eta: 2:13:36 time: 0.3696 data_time: 0.0059 loss: 1.0215 03/05 00:04:35 - mmengine - INFO - Epoch(train) [96][2800/5005] lr: 6.1558e-04 eta: 2:13:00 time: 0.3677 data_time: 0.0056 loss: 1.0319 03/05 00:05:10 - mmengine - INFO - Epoch(train) [96][2900/5005] lr: 6.1558e-04 eta: 2:12:24 time: 0.3423 data_time: 0.0057 loss: 1.0205 03/05 00:05:46 - mmengine - INFO - Epoch(train) [96][3000/5005] lr: 6.1558e-04 eta: 2:11:49 time: 0.3533 data_time: 0.0061 loss: 0.9852 03/05 00:06:21 - mmengine - INFO - Epoch(train) [96][3100/5005] lr: 6.1558e-04 eta: 2:11:13 time: 0.3607 data_time: 0.0056 loss: 0.9823 03/05 00:06:57 - mmengine - INFO - Epoch(train) [96][3200/5005] lr: 6.1558e-04 eta: 2:10:37 time: 0.3469 data_time: 0.0060 loss: 0.9709 03/05 00:07:33 - mmengine - INFO - Epoch(train) [96][3300/5005] lr: 6.1558e-04 eta: 2:10:01 time: 0.3439 data_time: 0.0056 loss: 0.8216 03/05 00:08:08 - mmengine - INFO - Epoch(train) [96][3400/5005] lr: 6.1558e-04 eta: 2:09:25 time: 0.3724 data_time: 0.0058 loss: 0.9726 03/05 00:08:44 - mmengine - INFO - Epoch(train) [96][3500/5005] lr: 6.1558e-04 eta: 2:08:49 time: 0.3493 data_time: 0.0058 loss: 1.2832 03/05 00:08:53 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 00:09:20 - mmengine - INFO - Epoch(train) [96][3600/5005] lr: 6.1558e-04 eta: 2:08:13 time: 0.3585 data_time: 0.0061 loss: 1.0634 03/05 00:09:55 - mmengine - INFO - Epoch(train) [96][3700/5005] lr: 6.1558e-04 eta: 2:07:37 time: 0.3581 data_time: 0.0059 loss: 1.0402 03/05 00:10:31 - mmengine - INFO - Epoch(train) [96][3800/5005] lr: 6.1558e-04 eta: 2:07:01 time: 0.3545 data_time: 0.0057 loss: 0.9908 03/05 00:11:07 - mmengine - INFO - Epoch(train) [96][3900/5005] lr: 6.1558e-04 eta: 2:06:25 time: 0.3568 data_time: 0.0056 loss: 1.0304 03/05 00:11:42 - mmengine - INFO - Epoch(train) [96][4000/5005] lr: 6.1558e-04 eta: 2:05:49 time: 0.3425 data_time: 0.0060 loss: 0.9669 03/05 00:12:18 - mmengine - INFO - Epoch(train) [96][4100/5005] lr: 6.1558e-04 eta: 2:05:13 time: 0.3729 data_time: 0.0059 loss: 0.8815 03/05 00:12:54 - mmengine - INFO - Epoch(train) [96][4200/5005] lr: 6.1558e-04 eta: 2:04:37 time: 0.3604 data_time: 0.0057 loss: 1.0522 03/05 00:13:30 - mmengine - INFO - Epoch(train) [96][4300/5005] lr: 6.1558e-04 eta: 2:04:02 time: 0.3592 data_time: 0.0057 loss: 0.8959 03/05 00:14:05 - mmengine - INFO - Epoch(train) [96][4400/5005] lr: 6.1558e-04 eta: 2:03:26 time: 0.3448 data_time: 0.0056 loss: 1.1605 03/05 00:14:41 - mmengine - INFO - Epoch(train) [96][4500/5005] lr: 6.1558e-04 eta: 2:02:50 time: 0.3515 data_time: 0.0060 loss: 1.0396 03/05 00:14:50 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 00:15:17 - mmengine - INFO - Epoch(train) [96][4600/5005] lr: 6.1558e-04 eta: 2:02:14 time: 0.3535 data_time: 0.0056 loss: 1.0272 03/05 00:15:53 - mmengine - INFO - Epoch(train) [96][4700/5005] lr: 6.1558e-04 eta: 2:01:38 time: 0.3485 data_time: 0.0057 loss: 0.9665 03/05 00:16:29 - mmengine - INFO - Epoch(train) [96][4800/5005] lr: 6.1558e-04 eta: 2:01:02 time: 0.3396 data_time: 0.0058 loss: 1.0101 03/05 00:17:06 - mmengine - INFO - Epoch(train) [96][4900/5005] lr: 6.1558e-04 eta: 2:00:26 time: 0.4326 data_time: 0.0061 loss: 1.0175 03/05 00:17:51 - mmengine - INFO - Epoch(train) [96][5000/5005] lr: 6.1558e-04 eta: 1:59:51 time: 0.4500 data_time: 0.0062 loss: 0.9524 03/05 00:17:53 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 00:17:56 - mmengine - INFO - Saving checkpoint at 96 epochs 03/05 00:18:14 - mmengine - INFO - Epoch(val) [96][100/196] eta: 0:00:15 time: 0.0454 data_time: 0.0004 03/05 00:18:31 - mmengine - INFO - Epoch(val) [96][196/196] accuracy/top1: 76.8380 accuracy/top5: 93.5020 03/05 00:19:16 - mmengine - INFO - Epoch(train) [97][ 100/5005] lr: 3.9426e-04 eta: 1:59:13 time: 0.3511 data_time: 0.0063 loss: 0.9764 03/05 00:19:52 - mmengine - INFO - Epoch(train) [97][ 200/5005] lr: 3.9426e-04 eta: 1:58:37 time: 0.3513 data_time: 0.0056 loss: 0.9672 03/05 00:20:28 - mmengine - INFO - Epoch(train) [97][ 300/5005] lr: 3.9426e-04 eta: 1:58:01 time: 0.3689 data_time: 0.0059 loss: 0.9597 03/05 00:21:04 - mmengine - INFO - Epoch(train) [97][ 400/5005] lr: 3.9426e-04 eta: 1:57:25 time: 0.3453 data_time: 0.0061 loss: 0.8987 03/05 00:21:40 - mmengine - INFO - Epoch(train) [97][ 500/5005] lr: 3.9426e-04 eta: 1:56:50 time: 0.4067 data_time: 0.0058 loss: 0.9917 03/05 00:21:48 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 00:22:16 - mmengine - INFO - Epoch(train) [97][ 600/5005] lr: 3.9426e-04 eta: 1:56:14 time: 0.3484 data_time: 0.0057 loss: 0.8644 03/05 00:22:52 - mmengine - INFO - Epoch(train) [97][ 700/5005] lr: 3.9426e-04 eta: 1:55:38 time: 0.3608 data_time: 0.0060 loss: 0.7859 03/05 00:23:28 - mmengine - INFO - Epoch(train) [97][ 800/5005] lr: 3.9426e-04 eta: 1:55:02 time: 0.3472 data_time: 0.0058 loss: 1.0056 03/05 00:24:04 - mmengine - INFO - Epoch(train) [97][ 900/5005] lr: 3.9426e-04 eta: 1:54:26 time: 0.3517 data_time: 0.0060 loss: 1.0406 03/05 00:24:40 - mmengine - INFO - Epoch(train) [97][1000/5005] lr: 3.9426e-04 eta: 1:53:50 time: 0.3896 data_time: 0.0055 loss: 1.0580 03/05 00:25:15 - mmengine - INFO - Epoch(train) [97][1100/5005] lr: 3.9426e-04 eta: 1:53:14 time: 0.3549 data_time: 0.0055 loss: 1.1128 03/05 00:25:51 - mmengine - INFO - Epoch(train) [97][1200/5005] lr: 3.9426e-04 eta: 1:52:38 time: 0.3514 data_time: 0.0058 loss: 1.0537 03/05 00:26:26 - mmengine - INFO - Epoch(train) [97][1300/5005] lr: 3.9426e-04 eta: 1:52:02 time: 0.3615 data_time: 0.0056 loss: 0.9327 03/05 00:27:02 - mmengine - INFO - Epoch(train) [97][1400/5005] lr: 3.9426e-04 eta: 1:51:26 time: 0.3487 data_time: 0.0060 loss: 1.0377 03/05 00:27:38 - mmengine - INFO - Epoch(train) [97][1500/5005] lr: 3.9426e-04 eta: 1:50:50 time: 0.3665 data_time: 0.0057 loss: 0.9943 03/05 00:27:45 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 00:28:14 - mmengine - INFO - Epoch(train) [97][1600/5005] lr: 3.9426e-04 eta: 1:50:14 time: 0.3518 data_time: 0.0062 loss: 1.1122 03/05 00:28:49 - mmengine - INFO - Epoch(train) [97][1700/5005] lr: 3.9426e-04 eta: 1:49:38 time: 0.3451 data_time: 0.0058 loss: 0.9011 03/05 00:29:25 - mmengine - INFO - Epoch(train) [97][1800/5005] lr: 3.9426e-04 eta: 1:49:03 time: 0.3671 data_time: 0.0057 loss: 1.0957 03/05 00:30:01 - mmengine - INFO - Epoch(train) [97][1900/5005] lr: 3.9426e-04 eta: 1:48:27 time: 0.3536 data_time: 0.0056 loss: 1.0572 03/05 00:30:37 - mmengine - INFO - Epoch(train) [97][2000/5005] lr: 3.9426e-04 eta: 1:47:51 time: 0.3447 data_time: 0.0057 loss: 0.9113 03/05 00:31:13 - mmengine - INFO - Epoch(train) [97][2100/5005] lr: 3.9426e-04 eta: 1:47:15 time: 0.3640 data_time: 0.0056 loss: 1.0184 03/05 00:31:48 - mmengine - INFO - Epoch(train) [97][2200/5005] lr: 3.9426e-04 eta: 1:46:39 time: 0.3465 data_time: 0.0059 loss: 1.1849 03/05 00:32:24 - mmengine - INFO - Epoch(train) [97][2300/5005] lr: 3.9426e-04 eta: 1:46:03 time: 0.3526 data_time: 0.0057 loss: 0.9428 03/05 00:33:00 - mmengine - INFO - Epoch(train) [97][2400/5005] lr: 3.9426e-04 eta: 1:45:27 time: 0.3513 data_time: 0.0064 loss: 0.9962 03/05 00:33:36 - mmengine - INFO - Epoch(train) [97][2500/5005] lr: 3.9426e-04 eta: 1:44:51 time: 0.3497 data_time: 0.0057 loss: 0.8408 03/05 00:33:43 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 00:34:12 - mmengine - INFO - Epoch(train) [97][2600/5005] lr: 3.9426e-04 eta: 1:44:15 time: 0.3510 data_time: 0.0057 loss: 0.8725 03/05 00:34:48 - mmengine - INFO - Epoch(train) [97][2700/5005] lr: 3.9426e-04 eta: 1:43:39 time: 0.3433 data_time: 0.0057 loss: 1.1529 03/05 00:35:24 - mmengine - INFO - Epoch(train) [97][2800/5005] lr: 3.9426e-04 eta: 1:43:03 time: 0.3465 data_time: 0.0060 loss: 1.0467 03/05 00:35:59 - mmengine - INFO - Epoch(train) [97][2900/5005] lr: 3.9426e-04 eta: 1:42:27 time: 0.3624 data_time: 0.0060 loss: 0.9726 03/05 00:36:35 - mmengine - INFO - Epoch(train) [97][3000/5005] lr: 3.9426e-04 eta: 1:41:51 time: 0.3501 data_time: 0.0057 loss: 1.0785 03/05 00:37:10 - mmengine - INFO - Epoch(train) [97][3100/5005] lr: 3.9426e-04 eta: 1:41:16 time: 0.3632 data_time: 0.0067 loss: 0.9780 03/05 00:37:46 - mmengine - INFO - Epoch(train) [97][3200/5005] lr: 3.9426e-04 eta: 1:40:40 time: 0.3592 data_time: 0.0061 loss: 0.9125 03/05 00:38:22 - mmengine - INFO - Epoch(train) [97][3300/5005] lr: 3.9426e-04 eta: 1:40:04 time: 0.3533 data_time: 0.0057 loss: 1.1333 03/05 00:38:58 - mmengine - INFO - Epoch(train) [97][3400/5005] lr: 3.9426e-04 eta: 1:39:28 time: 0.3580 data_time: 0.0057 loss: 0.9579 03/05 00:39:33 - mmengine - INFO - Epoch(train) [97][3500/5005] lr: 3.9426e-04 eta: 1:38:52 time: 0.3479 data_time: 0.0058 loss: 1.0513 03/05 00:39:40 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 00:40:09 - mmengine - INFO - Epoch(train) [97][3600/5005] lr: 3.9426e-04 eta: 1:38:16 time: 0.3620 data_time: 0.0057 loss: 0.9930 03/05 00:40:45 - mmengine - INFO - Epoch(train) [97][3700/5005] lr: 3.9426e-04 eta: 1:37:40 time: 0.3662 data_time: 0.0054 loss: 1.0270 03/05 00:41:20 - mmengine - INFO - Epoch(train) [97][3800/5005] lr: 3.9426e-04 eta: 1:37:04 time: 0.3504 data_time: 0.0061 loss: 0.8851 03/05 00:41:56 - mmengine - INFO - Epoch(train) [97][3900/5005] lr: 3.9426e-04 eta: 1:36:28 time: 0.3501 data_time: 0.0059 loss: 1.0212 03/05 00:42:32 - mmengine - INFO - Epoch(train) [97][4000/5005] lr: 3.9426e-04 eta: 1:35:52 time: 0.3771 data_time: 0.0056 loss: 0.8865 03/05 00:43:08 - mmengine - INFO - Epoch(train) [97][4100/5005] lr: 3.9426e-04 eta: 1:35:16 time: 0.3558 data_time: 0.0057 loss: 1.1374 03/05 00:43:43 - mmengine - INFO - Epoch(train) [97][4200/5005] lr: 3.9426e-04 eta: 1:34:40 time: 0.3671 data_time: 0.0057 loss: 1.0114 03/05 00:44:19 - mmengine - INFO - Epoch(train) [97][4300/5005] lr: 3.9426e-04 eta: 1:34:04 time: 0.3528 data_time: 0.0059 loss: 1.0610 03/05 00:44:54 - mmengine - INFO - Epoch(train) [97][4400/5005] lr: 3.9426e-04 eta: 1:33:29 time: 0.3644 data_time: 0.0060 loss: 1.0433 03/05 00:45:30 - mmengine - INFO - Epoch(train) [97][4500/5005] lr: 3.9426e-04 eta: 1:32:53 time: 0.3459 data_time: 0.0058 loss: 1.0029 03/05 00:45:37 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 00:46:06 - mmengine - INFO - Epoch(train) [97][4600/5005] lr: 3.9426e-04 eta: 1:32:17 time: 0.3480 data_time: 0.0057 loss: 1.0013 03/05 00:46:42 - mmengine - INFO - Epoch(train) [97][4700/5005] lr: 3.9426e-04 eta: 1:31:41 time: 0.3510 data_time: 0.0057 loss: 0.8795 03/05 00:47:17 - mmengine - INFO - Epoch(train) [97][4800/5005] lr: 3.9426e-04 eta: 1:31:05 time: 0.3611 data_time: 0.0055 loss: 1.2366 03/05 00:47:54 - mmengine - INFO - Epoch(train) [97][4900/5005] lr: 3.9426e-04 eta: 1:30:29 time: 0.4556 data_time: 0.0062 loss: 1.0170 03/05 00:48:38 - mmengine - INFO - Epoch(train) [97][5000/5005] lr: 3.9426e-04 eta: 1:29:53 time: 0.4496 data_time: 0.0060 loss: 0.9725 03/05 00:48:40 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 00:48:43 - mmengine - INFO - Saving checkpoint at 97 epochs 03/05 00:49:01 - mmengine - INFO - Epoch(val) [97][100/196] eta: 0:00:15 time: 0.0441 data_time: 0.0003 03/05 00:49:17 - mmengine - INFO - Epoch(val) [97][196/196] accuracy/top1: 76.9060 accuracy/top5: 93.5560 03/05 00:50:03 - mmengine - INFO - Epoch(train) [98][ 100/5005] lr: 2.2190e-04 eta: 1:29:16 time: 0.3516 data_time: 0.0062 loss: 0.9986 03/05 00:50:39 - mmengine - INFO - Epoch(train) [98][ 200/5005] lr: 2.2190e-04 eta: 1:28:40 time: 0.3467 data_time: 0.0058 loss: 1.1027 03/05 00:51:15 - mmengine - INFO - Epoch(train) [98][ 300/5005] lr: 2.2190e-04 eta: 1:28:04 time: 0.3774 data_time: 0.0063 loss: 0.9261 03/05 00:51:52 - mmengine - INFO - Epoch(train) [98][ 400/5005] lr: 2.2190e-04 eta: 1:27:28 time: 0.3821 data_time: 0.0058 loss: 1.0064 03/05 00:52:27 - mmengine - INFO - Epoch(train) [98][ 500/5005] lr: 2.2190e-04 eta: 1:26:52 time: 0.3471 data_time: 0.0058 loss: 0.8335 03/05 00:52:33 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 00:53:03 - mmengine - INFO - Epoch(train) [98][ 600/5005] lr: 2.2190e-04 eta: 1:26:16 time: 0.3580 data_time: 0.0059 loss: 0.9384 03/05 00:53:38 - mmengine - INFO - Epoch(train) [98][ 700/5005] lr: 2.2190e-04 eta: 1:25:40 time: 0.3508 data_time: 0.0058 loss: 0.9124 03/05 00:54:14 - mmengine - INFO - Epoch(train) [98][ 800/5005] lr: 2.2190e-04 eta: 1:25:04 time: 0.3471 data_time: 0.0057 loss: 0.8675 03/05 00:54:50 - mmengine - INFO - Epoch(train) [98][ 900/5005] lr: 2.2190e-04 eta: 1:24:29 time: 0.3525 data_time: 0.0060 loss: 0.9561 03/05 00:55:26 - mmengine - INFO - Epoch(train) [98][1000/5005] lr: 2.2190e-04 eta: 1:23:53 time: 0.3590 data_time: 0.0057 loss: 0.8372 03/05 00:56:02 - mmengine - INFO - Epoch(train) [98][1100/5005] lr: 2.2190e-04 eta: 1:23:17 time: 0.3449 data_time: 0.0057 loss: 0.9471 03/05 00:56:38 - mmengine - INFO - Epoch(train) [98][1200/5005] lr: 2.2190e-04 eta: 1:22:41 time: 0.3605 data_time: 0.0060 loss: 0.9262 03/05 00:57:14 - mmengine - INFO - Epoch(train) [98][1300/5005] lr: 2.2190e-04 eta: 1:22:05 time: 0.3480 data_time: 0.0060 loss: 0.9062 03/05 00:57:50 - mmengine - INFO - Epoch(train) [98][1400/5005] lr: 2.2190e-04 eta: 1:21:29 time: 0.3526 data_time: 0.0060 loss: 0.9217 03/05 00:58:26 - mmengine - INFO - Epoch(train) [98][1500/5005] lr: 2.2190e-04 eta: 1:20:53 time: 0.3713 data_time: 0.0058 loss: 1.0099 03/05 00:58:32 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 00:59:02 - mmengine - INFO - Epoch(train) [98][1600/5005] lr: 2.2190e-04 eta: 1:20:17 time: 0.3556 data_time: 0.0057 loss: 0.9770 03/05 00:59:38 - mmengine - INFO - Epoch(train) [98][1700/5005] lr: 2.2190e-04 eta: 1:19:41 time: 0.3457 data_time: 0.0056 loss: 0.9729 03/05 01:00:14 - mmengine - INFO - Epoch(train) [98][1800/5005] lr: 2.2190e-04 eta: 1:19:05 time: 0.3540 data_time: 0.0059 loss: 0.8893 03/05 01:00:50 - mmengine - INFO - Epoch(train) [98][1900/5005] lr: 2.2190e-04 eta: 1:18:29 time: 0.3718 data_time: 0.0060 loss: 0.9298 03/05 01:01:26 - mmengine - INFO - Epoch(train) [98][2000/5005] lr: 2.2190e-04 eta: 1:17:53 time: 0.3475 data_time: 0.0057 loss: 1.1506 03/05 01:02:01 - mmengine - INFO - Epoch(train) [98][2100/5005] lr: 2.2190e-04 eta: 1:17:18 time: 0.3571 data_time: 0.0058 loss: 0.8826 03/05 01:02:37 - mmengine - INFO - Epoch(train) [98][2200/5005] lr: 2.2190e-04 eta: 1:16:42 time: 0.3523 data_time: 0.0059 loss: 1.0267 03/05 01:03:13 - mmengine - INFO - Epoch(train) [98][2300/5005] lr: 2.2190e-04 eta: 1:16:06 time: 0.3637 data_time: 0.0064 loss: 0.9600 03/05 01:03:49 - mmengine - INFO - Epoch(train) [98][2400/5005] lr: 2.2190e-04 eta: 1:15:30 time: 0.3556 data_time: 0.0058 loss: 1.0104 03/05 01:04:25 - mmengine - INFO - Epoch(train) [98][2500/5005] lr: 2.2190e-04 eta: 1:14:54 time: 0.3446 data_time: 0.0060 loss: 0.9226 03/05 01:04:30 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 01:05:01 - mmengine - INFO - Epoch(train) [98][2600/5005] lr: 2.2190e-04 eta: 1:14:18 time: 0.3728 data_time: 0.0056 loss: 0.8357 03/05 01:05:37 - mmengine - INFO - Epoch(train) [98][2700/5005] lr: 2.2190e-04 eta: 1:13:42 time: 0.3843 data_time: 0.0058 loss: 1.0480 03/05 01:06:13 - mmengine - INFO - Epoch(train) [98][2800/5005] lr: 2.2190e-04 eta: 1:13:06 time: 0.3530 data_time: 0.0057 loss: 1.0391 03/05 01:06:49 - mmengine - INFO - Epoch(train) [98][2900/5005] lr: 2.2190e-04 eta: 1:12:30 time: 0.3562 data_time: 0.0058 loss: 1.0382 03/05 01:07:24 - mmengine - INFO - Epoch(train) [98][3000/5005] lr: 2.2190e-04 eta: 1:11:54 time: 0.3408 data_time: 0.0060 loss: 0.9667 03/05 01:08:00 - mmengine - INFO - Epoch(train) [98][3100/5005] lr: 2.2190e-04 eta: 1:11:18 time: 0.3731 data_time: 0.0060 loss: 1.0445 03/05 01:08:36 - mmengine - INFO - Epoch(train) [98][3200/5005] lr: 2.2190e-04 eta: 1:10:42 time: 0.3594 data_time: 0.0059 loss: 0.9378 03/05 01:09:12 - mmengine - INFO - Epoch(train) [98][3300/5005] lr: 2.2190e-04 eta: 1:10:07 time: 0.3568 data_time: 0.0062 loss: 0.8766 03/05 01:09:48 - mmengine - INFO - Epoch(train) [98][3400/5005] lr: 2.2190e-04 eta: 1:09:31 time: 0.3508 data_time: 0.0063 loss: 1.1287 03/05 01:10:24 - mmengine - INFO - Epoch(train) [98][3500/5005] lr: 2.2190e-04 eta: 1:08:55 time: 0.3506 data_time: 0.0059 loss: 0.9451 03/05 01:10:29 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 01:11:00 - mmengine - INFO - Epoch(train) [98][3600/5005] lr: 2.2190e-04 eta: 1:08:19 time: 0.3626 data_time: 0.0060 loss: 1.2920 03/05 01:11:35 - mmengine - INFO - Epoch(train) [98][3700/5005] lr: 2.2190e-04 eta: 1:07:43 time: 0.3513 data_time: 0.0061 loss: 1.0221 03/05 01:12:11 - mmengine - INFO - Epoch(train) [98][3800/5005] lr: 2.2190e-04 eta: 1:07:07 time: 0.3487 data_time: 0.0059 loss: 1.0518 03/05 01:12:48 - mmengine - INFO - Epoch(train) [98][3900/5005] lr: 2.2190e-04 eta: 1:06:31 time: 0.3834 data_time: 0.0057 loss: 0.7361 03/05 01:13:24 - mmengine - INFO - Epoch(train) [98][4000/5005] lr: 2.2190e-04 eta: 1:05:55 time: 0.3471 data_time: 0.0060 loss: 1.0237 03/05 01:14:00 - mmengine - INFO - Epoch(train) [98][4100/5005] lr: 2.2190e-04 eta: 1:05:19 time: 0.3481 data_time: 0.0057 loss: 1.0367 03/05 01:14:35 - mmengine - INFO - Epoch(train) [98][4200/5005] lr: 2.2190e-04 eta: 1:04:43 time: 0.3689 data_time: 0.0057 loss: 0.9855 03/05 01:15:11 - mmengine - INFO - Epoch(train) [98][4300/5005] lr: 2.2190e-04 eta: 1:04:07 time: 0.3444 data_time: 0.0058 loss: 1.0492 03/05 01:15:47 - mmengine - INFO - Epoch(train) [98][4400/5005] lr: 2.2190e-04 eta: 1:03:31 time: 0.3736 data_time: 0.0060 loss: 1.0122 03/05 01:16:22 - mmengine - INFO - Epoch(train) [98][4500/5005] lr: 2.2190e-04 eta: 1:02:56 time: 0.3358 data_time: 0.0062 loss: 0.9894 03/05 01:16:27 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 01:16:58 - mmengine - INFO - Epoch(train) [98][4600/5005] lr: 2.2190e-04 eta: 1:02:20 time: 0.3475 data_time: 0.0060 loss: 0.9234 03/05 01:17:34 - mmengine - INFO - Epoch(train) [98][4700/5005] lr: 2.2190e-04 eta: 1:01:44 time: 0.3666 data_time: 0.0056 loss: 1.0966 03/05 01:18:10 - mmengine - INFO - Epoch(train) [98][4800/5005] lr: 2.2190e-04 eta: 1:01:08 time: 0.3659 data_time: 0.0057 loss: 1.0677 03/05 01:18:46 - mmengine - INFO - Epoch(train) [98][4900/5005] lr: 2.2190e-04 eta: 1:00:32 time: 0.3831 data_time: 0.0057 loss: 0.9769 03/05 01:19:28 - mmengine - INFO - Epoch(train) [98][5000/5005] lr: 2.2190e-04 eta: 0:59:56 time: 0.4183 data_time: 0.0065 loss: 1.0389 03/05 01:19:30 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 01:19:33 - mmengine - INFO - Saving checkpoint at 98 epochs 03/05 01:19:51 - mmengine - INFO - Epoch(val) [98][100/196] eta: 0:00:15 time: 0.0427 data_time: 0.0003 03/05 01:20:07 - mmengine - INFO - Epoch(val) [98][196/196] accuracy/top1: 77.0060 accuracy/top5: 93.5320 03/05 01:20:52 - mmengine - INFO - Epoch(train) [99][ 100/5005] lr: 9.8664e-05 eta: 0:59:19 time: 0.3520 data_time: 0.0059 loss: 1.0499 03/05 01:21:29 - mmengine - INFO - Epoch(train) [99][ 200/5005] lr: 9.8664e-05 eta: 0:58:43 time: 0.3495 data_time: 0.0058 loss: 0.9973 03/05 01:22:05 - mmengine - INFO - Epoch(train) [99][ 300/5005] lr: 9.8664e-05 eta: 0:58:07 time: 0.3469 data_time: 0.0063 loss: 1.0367 03/05 01:22:41 - mmengine - INFO - Epoch(train) [99][ 400/5005] lr: 9.8664e-05 eta: 0:57:31 time: 0.3659 data_time: 0.0060 loss: 0.9446 03/05 01:23:17 - mmengine - INFO - Epoch(train) [99][ 500/5005] lr: 9.8664e-05 eta: 0:56:55 time: 0.3776 data_time: 0.0063 loss: 1.1267 03/05 01:23:21 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 01:23:53 - mmengine - INFO - Epoch(train) [99][ 600/5005] lr: 9.8664e-05 eta: 0:56:19 time: 0.3697 data_time: 0.0065 loss: 0.9081 03/05 01:24:30 - mmengine - INFO - Epoch(train) [99][ 700/5005] lr: 9.8664e-05 eta: 0:55:43 time: 0.3520 data_time: 0.0061 loss: 1.1123 03/05 01:25:06 - mmengine - INFO - Epoch(train) [99][ 800/5005] lr: 9.8664e-05 eta: 0:55:07 time: 0.3521 data_time: 0.0061 loss: 0.8446 03/05 01:25:41 - mmengine - INFO - Epoch(train) [99][ 900/5005] lr: 9.8664e-05 eta: 0:54:31 time: 0.3597 data_time: 0.0058 loss: 1.0994 03/05 01:26:18 - mmengine - INFO - Epoch(train) [99][1000/5005] lr: 9.8664e-05 eta: 0:53:55 time: 0.3495 data_time: 0.0061 loss: 0.9027 03/05 01:26:53 - mmengine - INFO - Epoch(train) [99][1100/5005] lr: 9.8664e-05 eta: 0:53:19 time: 0.3475 data_time: 0.0058 loss: 1.0192 03/05 01:27:30 - mmengine - INFO - Epoch(train) [99][1200/5005] lr: 9.8664e-05 eta: 0:52:44 time: 0.3541 data_time: 0.0060 loss: 1.1435 03/05 01:28:06 - mmengine - INFO - Epoch(train) [99][1300/5005] lr: 9.8664e-05 eta: 0:52:08 time: 0.3485 data_time: 0.0063 loss: 1.0263 03/05 01:28:41 - mmengine - INFO - Epoch(train) [99][1400/5005] lr: 9.8664e-05 eta: 0:51:32 time: 0.3431 data_time: 0.0057 loss: 1.0733 03/05 01:29:18 - mmengine - INFO - Epoch(train) [99][1500/5005] lr: 9.8664e-05 eta: 0:50:56 time: 0.3690 data_time: 0.0061 loss: 1.0174 03/05 01:29:21 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 01:29:53 - mmengine - INFO - Epoch(train) [99][1600/5005] lr: 9.8664e-05 eta: 0:50:20 time: 0.3866 data_time: 0.0066 loss: 1.0976 03/05 01:30:29 - mmengine - INFO - Epoch(train) [99][1700/5005] lr: 9.8664e-05 eta: 0:49:44 time: 0.3661 data_time: 0.0061 loss: 0.8945 03/05 01:31:06 - mmengine - INFO - Epoch(train) [99][1800/5005] lr: 9.8664e-05 eta: 0:49:08 time: 0.3674 data_time: 0.0059 loss: 0.9795 03/05 01:31:42 - mmengine - INFO - Epoch(train) [99][1900/5005] lr: 9.8664e-05 eta: 0:48:32 time: 0.3446 data_time: 0.0059 loss: 1.1077 03/05 01:32:18 - mmengine - INFO - Epoch(train) [99][2000/5005] lr: 9.8664e-05 eta: 0:47:56 time: 0.3491 data_time: 0.0055 loss: 0.8396 03/05 01:32:54 - mmengine - INFO - Epoch(train) [99][2100/5005] lr: 9.8664e-05 eta: 0:47:20 time: 0.3541 data_time: 0.0058 loss: 1.1290 03/05 01:33:29 - mmengine - INFO - Epoch(train) [99][2200/5005] lr: 9.8664e-05 eta: 0:46:44 time: 0.3562 data_time: 0.0060 loss: 1.1365 03/05 01:34:06 - mmengine - INFO - Epoch(train) [99][2300/5005] lr: 9.8664e-05 eta: 0:46:08 time: 0.3464 data_time: 0.0062 loss: 1.0108 03/05 01:34:42 - mmengine - INFO - Epoch(train) [99][2400/5005] lr: 9.8664e-05 eta: 0:45:33 time: 0.3546 data_time: 0.0060 loss: 0.9140 03/05 01:35:18 - mmengine - INFO - Epoch(train) [99][2500/5005] lr: 9.8664e-05 eta: 0:44:57 time: 0.3539 data_time: 0.0061 loss: 1.0266 03/05 01:35:21 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 01:35:54 - mmengine - INFO - Epoch(train) [99][2600/5005] lr: 9.8664e-05 eta: 0:44:21 time: 0.3643 data_time: 0.0057 loss: 1.0921 03/05 01:36:29 - mmengine - INFO - Epoch(train) [99][2700/5005] lr: 9.8664e-05 eta: 0:43:45 time: 0.3469 data_time: 0.0058 loss: 1.1130 03/05 01:37:05 - mmengine - INFO - Epoch(train) [99][2800/5005] lr: 9.8664e-05 eta: 0:43:09 time: 0.3703 data_time: 0.0057 loss: 0.9764 03/05 01:37:41 - mmengine - INFO - Epoch(train) [99][2900/5005] lr: 9.8664e-05 eta: 0:42:33 time: 0.3466 data_time: 0.0061 loss: 0.8747 03/05 01:38:17 - mmengine - INFO - Epoch(train) [99][3000/5005] lr: 9.8664e-05 eta: 0:41:57 time: 0.3481 data_time: 0.0057 loss: 0.9852 03/05 01:38:53 - mmengine - INFO - Epoch(train) [99][3100/5005] lr: 9.8664e-05 eta: 0:41:21 time: 0.3497 data_time: 0.0060 loss: 1.1298 03/05 01:39:29 - mmengine - INFO - Epoch(train) [99][3200/5005] lr: 9.8664e-05 eta: 0:40:45 time: 0.3774 data_time: 0.0060 loss: 0.8444 03/05 01:40:04 - mmengine - INFO - Epoch(train) [99][3300/5005] lr: 9.8664e-05 eta: 0:40:09 time: 0.3619 data_time: 0.0057 loss: 1.0782 03/05 01:40:40 - mmengine - INFO - Epoch(train) [99][3400/5005] lr: 9.8664e-05 eta: 0:39:33 time: 0.3776 data_time: 0.0062 loss: 0.9047 03/05 01:41:16 - mmengine - INFO - Epoch(train) [99][3500/5005] lr: 9.8664e-05 eta: 0:38:57 time: 0.3748 data_time: 0.0058 loss: 0.9540 03/05 01:41:20 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 01:41:52 - mmengine - INFO - Epoch(train) [99][3600/5005] lr: 9.8664e-05 eta: 0:38:22 time: 0.3539 data_time: 0.0060 loss: 0.8653 03/05 01:42:28 - mmengine - INFO - Epoch(train) [99][3700/5005] lr: 9.8664e-05 eta: 0:37:46 time: 0.3567 data_time: 0.0059 loss: 0.9005 03/05 01:43:03 - mmengine - INFO - Epoch(train) [99][3800/5005] lr: 9.8664e-05 eta: 0:37:10 time: 0.3480 data_time: 0.0060 loss: 0.9786 03/05 01:43:39 - mmengine - INFO - Epoch(train) [99][3900/5005] lr: 9.8664e-05 eta: 0:36:34 time: 0.3529 data_time: 0.0057 loss: 0.7830 03/05 01:44:15 - mmengine - INFO - Epoch(train) [99][4000/5005] lr: 9.8664e-05 eta: 0:35:58 time: 0.3469 data_time: 0.0059 loss: 0.9059 03/05 01:44:51 - mmengine - INFO - Epoch(train) [99][4100/5005] lr: 9.8664e-05 eta: 0:35:22 time: 0.3777 data_time: 0.0059 loss: 0.8928 03/05 01:45:27 - mmengine - INFO - Epoch(train) [99][4200/5005] lr: 9.8664e-05 eta: 0:34:46 time: 0.3564 data_time: 0.0063 loss: 1.0088 03/05 01:46:03 - mmengine - INFO - Epoch(train) [99][4300/5005] lr: 9.8664e-05 eta: 0:34:10 time: 0.3823 data_time: 0.0058 loss: 0.9902 03/05 01:46:40 - mmengine - INFO - Epoch(train) [99][4400/5005] lr: 9.8664e-05 eta: 0:33:34 time: 0.3550 data_time: 0.0059 loss: 1.0405 03/05 01:47:16 - mmengine - INFO - Epoch(train) [99][4500/5005] lr: 9.8664e-05 eta: 0:32:58 time: 0.3653 data_time: 0.0059 loss: 1.0093 03/05 01:47:19 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 01:47:51 - mmengine - INFO - Epoch(train) [99][4600/5005] lr: 9.8664e-05 eta: 0:32:22 time: 0.3596 data_time: 0.0057 loss: 0.9463 03/05 01:48:28 - mmengine - INFO - Epoch(train) [99][4700/5005] lr: 9.8664e-05 eta: 0:31:46 time: 0.3509 data_time: 0.0062 loss: 0.9299 03/05 01:49:04 - mmengine - INFO - Epoch(train) [99][4800/5005] lr: 9.8664e-05 eta: 0:31:11 time: 0.3467 data_time: 0.0059 loss: 1.0518 03/05 01:49:40 - mmengine - INFO - Epoch(train) [99][4900/5005] lr: 9.8664e-05 eta: 0:30:35 time: 0.3782 data_time: 0.0060 loss: 1.0243 03/05 01:50:21 - mmengine - INFO - Epoch(train) [99][5000/5005] lr: 9.8664e-05 eta: 0:29:59 time: 0.4023 data_time: 0.0061 loss: 1.0073 03/05 01:50:23 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 01:50:26 - mmengine - INFO - Saving checkpoint at 99 epochs 03/05 01:50:44 - mmengine - INFO - Epoch(val) [99][100/196] eta: 0:00:15 time: 0.0418 data_time: 0.0003 03/05 01:51:00 - mmengine - INFO - Epoch(val) [99][196/196] accuracy/top1: 77.0360 accuracy/top5: 93.6300 03/05 01:51:45 - mmengine - INFO - Epoch(train) [100][ 100/5005] lr: 2.4672e-05 eta: 0:29:21 time: 0.3505 data_time: 0.0057 loss: 1.0408 03/05 01:52:21 - mmengine - INFO - Epoch(train) [100][ 200/5005] lr: 2.4672e-05 eta: 0:28:45 time: 0.3608 data_time: 0.0058 loss: 0.8689 03/05 01:52:57 - mmengine - INFO - Epoch(train) [100][ 300/5005] lr: 2.4672e-05 eta: 0:28:09 time: 0.3609 data_time: 0.0059 loss: 1.1427 03/05 01:53:33 - mmengine - INFO - Epoch(train) [100][ 400/5005] lr: 2.4672e-05 eta: 0:27:33 time: 0.3682 data_time: 0.0060 loss: 1.0002 03/05 01:54:09 - mmengine - INFO - Epoch(train) [100][ 500/5005] lr: 2.4672e-05 eta: 0:26:58 time: 0.3916 data_time: 0.0059 loss: 0.8528 03/05 01:54:10 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 01:54:44 - mmengine - INFO - Epoch(train) [100][ 600/5005] lr: 2.4672e-05 eta: 0:26:22 time: 0.3430 data_time: 0.0062 loss: 1.0851 03/05 01:55:21 - mmengine - INFO - Epoch(train) [100][ 700/5005] lr: 2.4672e-05 eta: 0:25:46 time: 0.3628 data_time: 0.0060 loss: 1.0816 03/05 01:55:56 - mmengine - INFO - Epoch(train) [100][ 800/5005] lr: 2.4672e-05 eta: 0:25:10 time: 0.3397 data_time: 0.0062 loss: 0.8645 03/05 01:56:32 - mmengine - INFO - Epoch(train) [100][ 900/5005] lr: 2.4672e-05 eta: 0:24:34 time: 0.3463 data_time: 0.0062 loss: 1.0373 03/05 01:57:08 - mmengine - INFO - Epoch(train) [100][1000/5005] lr: 2.4672e-05 eta: 0:23:58 time: 0.3694 data_time: 0.0058 loss: 1.0906 03/05 01:57:44 - mmengine - INFO - Epoch(train) [100][1100/5005] lr: 2.4672e-05 eta: 0:23:22 time: 0.3615 data_time: 0.0062 loss: 0.8992 03/05 01:58:20 - mmengine - INFO - Epoch(train) [100][1200/5005] lr: 2.4672e-05 eta: 0:22:46 time: 0.3673 data_time: 0.0059 loss: 0.8522 03/05 01:58:56 - mmengine - INFO - Epoch(train) [100][1300/5005] lr: 2.4672e-05 eta: 0:22:10 time: 0.3499 data_time: 0.0061 loss: 1.0009 03/05 01:59:32 - mmengine - INFO - Epoch(train) [100][1400/5005] lr: 2.4672e-05 eta: 0:21:34 time: 0.3576 data_time: 0.0062 loss: 1.1041 03/05 02:00:08 - mmengine - INFO - Epoch(train) [100][1500/5005] lr: 2.4672e-05 eta: 0:20:58 time: 0.3482 data_time: 0.0061 loss: 0.9911 03/05 02:00:09 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 02:00:43 - mmengine - INFO - Epoch(train) [100][1600/5005] lr: 2.4672e-05 eta: 0:20:22 time: 0.3448 data_time: 0.0058 loss: 1.0838 03/05 02:01:19 - mmengine - INFO - Epoch(train) [100][1700/5005] lr: 2.4672e-05 eta: 0:19:47 time: 0.3454 data_time: 0.0060 loss: 0.9767 03/05 02:01:55 - mmengine - INFO - Epoch(train) [100][1800/5005] lr: 2.4672e-05 eta: 0:19:11 time: 0.3683 data_time: 0.0059 loss: 0.8997 03/05 02:02:30 - mmengine - INFO - Epoch(train) [100][1900/5005] lr: 2.4672e-05 eta: 0:18:35 time: 0.3558 data_time: 0.0062 loss: 1.2308 03/05 02:03:06 - mmengine - INFO - Epoch(train) [100][2000/5005] lr: 2.4672e-05 eta: 0:17:59 time: 0.3648 data_time: 0.0057 loss: 0.9498 03/05 02:03:41 - mmengine - INFO - Epoch(train) [100][2100/5005] lr: 2.4672e-05 eta: 0:17:23 time: 0.3603 data_time: 0.0059 loss: 0.8667 03/05 02:04:17 - mmengine - INFO - Epoch(train) [100][2200/5005] lr: 2.4672e-05 eta: 0:16:47 time: 0.3476 data_time: 0.0059 loss: 1.0221 03/05 02:04:53 - mmengine - INFO - Epoch(train) [100][2300/5005] lr: 2.4672e-05 eta: 0:16:11 time: 0.3571 data_time: 0.0059 loss: 0.9345 03/05 02:05:29 - mmengine - INFO - Epoch(train) [100][2400/5005] lr: 2.4672e-05 eta: 0:15:35 time: 0.3504 data_time: 0.0058 loss: 1.1167 03/05 02:06:05 - mmengine - INFO - Epoch(train) [100][2500/5005] lr: 2.4672e-05 eta: 0:14:59 time: 0.3499 data_time: 0.0064 loss: 0.9996 03/05 02:06:07 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 02:06:40 - mmengine - INFO - Epoch(train) [100][2600/5005] lr: 2.4672e-05 eta: 0:14:23 time: 0.3567 data_time: 0.0060 loss: 0.8626 03/05 02:07:16 - mmengine - INFO - Epoch(train) [100][2700/5005] lr: 2.4672e-05 eta: 0:13:47 time: 0.3578 data_time: 0.0059 loss: 1.0571 03/05 02:07:52 - mmengine - INFO - Epoch(train) [100][2800/5005] lr: 2.4672e-05 eta: 0:13:11 time: 0.3754 data_time: 0.0062 loss: 1.0289 03/05 02:08:28 - mmengine - INFO - Epoch(train) [100][2900/5005] lr: 2.4672e-05 eta: 0:12:36 time: 0.3554 data_time: 0.0059 loss: 1.1214 03/05 02:09:04 - mmengine - INFO - Epoch(train) [100][3000/5005] lr: 2.4672e-05 eta: 0:12:00 time: 0.3695 data_time: 0.0058 loss: 1.0640 03/05 02:09:40 - mmengine - INFO - Epoch(train) [100][3100/5005] lr: 2.4672e-05 eta: 0:11:24 time: 0.3595 data_time: 0.0056 loss: 0.8500 03/05 02:10:16 - mmengine - INFO - Epoch(train) [100][3200/5005] lr: 2.4672e-05 eta: 0:10:48 time: 0.3749 data_time: 0.0059 loss: 0.9598 03/05 02:10:51 - mmengine - INFO - Epoch(train) [100][3300/5005] lr: 2.4672e-05 eta: 0:10:12 time: 0.3526 data_time: 0.0059 loss: 0.9098 03/05 02:11:27 - mmengine - INFO - Epoch(train) [100][3400/5005] lr: 2.4672e-05 eta: 0:09:36 time: 0.3452 data_time: 0.0057 loss: 0.8912 03/05 02:12:03 - mmengine - INFO - Epoch(train) [100][3500/5005] lr: 2.4672e-05 eta: 0:09:00 time: 0.3546 data_time: 0.0057 loss: 1.0667 03/05 02:12:04 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 02:12:38 - mmengine - INFO - Epoch(train) [100][3600/5005] lr: 2.4672e-05 eta: 0:08:24 time: 0.3543 data_time: 0.0057 loss: 1.1768 03/05 02:13:14 - mmengine - INFO - Epoch(train) [100][3700/5005] lr: 2.4672e-05 eta: 0:07:48 time: 0.3486 data_time: 0.0057 loss: 1.1034 03/05 02:13:50 - mmengine - INFO - Epoch(train) [100][3800/5005] lr: 2.4672e-05 eta: 0:07:12 time: 0.3596 data_time: 0.0059 loss: 0.9759 03/05 02:14:26 - mmengine - INFO - Epoch(train) [100][3900/5005] lr: 2.4672e-05 eta: 0:06:36 time: 0.3547 data_time: 0.0057 loss: 1.0411 03/05 02:15:02 - mmengine - INFO - Epoch(train) [100][4000/5005] lr: 2.4672e-05 eta: 0:06:00 time: 0.3681 data_time: 0.0059 loss: 1.1207 03/05 02:15:38 - mmengine - INFO - Epoch(train) [100][4100/5005] lr: 2.4672e-05 eta: 0:05:25 time: 0.3566 data_time: 0.0059 loss: 1.1332 03/05 02:16:13 - mmengine - INFO - Epoch(train) [100][4200/5005] lr: 2.4672e-05 eta: 0:04:49 time: 0.3468 data_time: 0.0057 loss: 0.9634 03/05 02:16:49 - mmengine - INFO - Epoch(train) [100][4300/5005] lr: 2.4672e-05 eta: 0:04:13 time: 0.3479 data_time: 0.0056 loss: 0.9781 03/05 02:17:25 - mmengine - INFO - Epoch(train) [100][4400/5005] lr: 2.4672e-05 eta: 0:03:37 time: 0.3568 data_time: 0.0060 loss: 0.9347 03/05 02:18:01 - mmengine - INFO - Epoch(train) [100][4500/5005] lr: 2.4672e-05 eta: 0:03:01 time: 0.3591 data_time: 0.0059 loss: 0.9376 03/05 02:18:03 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 02:18:37 - mmengine - INFO - Epoch(train) [100][4600/5005] lr: 2.4672e-05 eta: 0:02:25 time: 0.3487 data_time: 0.0060 loss: 1.0364 03/05 02:19:12 - mmengine - INFO - Epoch(train) [100][4700/5005] lr: 2.4672e-05 eta: 0:01:49 time: 0.3857 data_time: 0.0058 loss: 1.1238 03/05 02:19:48 - mmengine - INFO - Epoch(train) [100][4800/5005] lr: 2.4672e-05 eta: 0:01:13 time: 0.3440 data_time: 0.0058 loss: 0.9889 03/05 02:20:24 - mmengine - INFO - Epoch(train) [100][4900/5005] lr: 2.4672e-05 eta: 0:00:37 time: 0.3915 data_time: 0.0060 loss: 1.0921 03/05 02:21:07 - mmengine - INFO - Epoch(train) [100][5000/5005] lr: 2.4672e-05 eta: 0:00:01 time: 0.3898 data_time: 0.0058 loss: 0.9975 03/05 02:21:09 - mmengine - INFO - Exp name: hrnet-w18_4xb32_in1k_20230302_231452 03/05 02:21:13 - mmengine - INFO - Saving checkpoint at 100 epochs 03/05 02:21:30 - mmengine - INFO - Epoch(val) [100][100/196] eta: 0:00:15 time: 0.0444 data_time: 0.0003 03/05 02:21:47 - mmengine - INFO - Epoch(val) [100][196/196] accuracy/top1: 77.0600 accuracy/top5: 93.5740